I', len(byte_data)) + byte_data\\n sock.sendall(msg)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_2i3I().pack(_x.manip_return_code, _x.object_grabber_return_code, _x.des_gripper_pose.header.seq, _x.des_gripper_pose.header.stamp.secs, _x.des_gripper_pose.header.stamp.nsecs))\\n _x = self.des_gripper_pose.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_7di3I().pack(_x.des_gripper_pose.pose.position.x, _x.des_gripper_pose.pose.position.y, _x.des_gripper_pose.pose.position.z, _x.des_gripper_pose.pose.orientation.x, _x.des_gripper_pose.pose.orientation.y, _x.des_gripper_pose.pose.orientation.z, _x.des_gripper_pose.pose.orientation.w, _x.object_finder_return_code, _x.object_pose.header.seq, _x.object_pose.header.stamp.secs, _x.object_pose.header.stamp.nsecs))\\n _x = self.object_pose.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_7d().pack(_x.object_pose.pose.position.x, _x.object_pose.pose.position.y, _x.object_pose.pose.position.z, _x.object_pose.pose.orientation.x, _x.object_pose.pose.orientation.y, _x.object_pose.pose.orientation.z, _x.object_pose.pose.orientation.w))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_2I().pack(_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs))\\n _x = self.goal_id.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.goal.request.workspace_parameters.header.seq, _x.goal.request.workspace_parameters.header.stamp.secs, _x.goal.request.workspace_parameters.header.stamp.nsecs))\\n _x = self.goal.request.workspace_parameters.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_6d3I().pack(_x.goal.request.workspace_parameters.min_corner.x, _x.goal.request.workspace_parameters.min_corner.y, _x.goal.request.workspace_parameters.min_corner.z, _x.goal.request.workspace_parameters.max_corner.x, _x.goal.request.workspace_parameters.max_corner.y, _x.goal.request.workspace_parameters.max_corner.z, _x.goal.request.start_state.joint_state.header.seq, _x.goal.request.start_state.joint_state.header.stamp.secs, _x.goal.request.start_state.joint_state.header.stamp.nsecs))\\n _x = self.goal.request.start_state.joint_state.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.goal.request.start_state.joint_state.name)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.start_state.joint_state.name:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.goal.request.start_state.joint_state.position)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.goal.request.start_state.joint_state.position.tostring())\\n length = len(self.goal.request.start_state.joint_state.velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.goal.request.start_state.joint_state.velocity.tostring())\\n length = len(self.goal.request.start_state.joint_state.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.goal.request.start_state.joint_state.effort.tostring())\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.goal.request.start_state.multi_dof_joint_state.header.seq, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.secs, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.nsecs))\\n _x = self.goal.request.start_state.multi_dof_joint_state.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.goal.request.start_state.multi_dof_joint_state.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.start_state.multi_dof_joint_state.joint_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.goal.request.start_state.multi_dof_joint_state.transforms)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.start_state.multi_dof_joint_state.transforms:\\n _v297 = val1.translation\\n _x = _v297\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v298 = val1.rotation\\n _x = _v298\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.goal.request.start_state.multi_dof_joint_state.twist)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.start_state.multi_dof_joint_state.twist:\\n _v299 = val1.linear\\n _x = _v299\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v300 = val1.angular\\n _x = _v300\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(self.goal.request.start_state.multi_dof_joint_state.wrench)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.start_state.multi_dof_joint_state.wrench:\\n _v301 = val1.force\\n _x = _v301\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v302 = val1.torque\\n _x = _v302\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(self.goal.request.start_state.attached_collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.start_state.attached_collision_objects:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v303 = val1.object\\n _v304 = _v303.header\\n buff.write(_get_struct_I().pack(_v304.seq))\\n _v305 = _v304.stamp\\n _x = _v305\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v304.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v303.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v306 = _v303.type\\n _x = _v306.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v306.db\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(_v303.primitives)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.primitives:\\n buff.write(_get_struct_B().pack(val3.type))\\n length = len(val3.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.dimensions.tostring())\\n length = len(_v303.primitive_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.primitive_poses:\\n _v307 = val3.position\\n _x = _v307\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v308 = val3.orientation\\n _x = _v308\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v303.meshes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.meshes:\\n length = len(val3.triangles)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.triangles:\\n buff.write(val4.vertex_indices.tostring())\\n length = len(val3.vertices)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.vertices:\\n _x = val4\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(_v303.mesh_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.mesh_poses:\\n _v309 = val3.position\\n _x = _v309\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v310 = val3.orientation\\n _x = _v310\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v303.planes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.planes:\\n buff.write(val3.coef.tostring())\\n length = len(_v303.plane_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.plane_poses:\\n _v311 = val3.position\\n _x = _v311\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v312 = val3.orientation\\n _x = _v312\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v303.subframe_names)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.subframe_names:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n length = len(_v303.subframe_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.subframe_poses:\\n _v313 = val3.position\\n _x = _v313\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v314 = val3.orientation\\n _x = _v314\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_b().pack(_v303.operation))\\n length = len(val1.touch_links)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.touch_links:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n _v315 = val1.detach_posture\\n _v316 = _v315.header\\n buff.write(_get_struct_I().pack(_v316.seq))\\n _v317 = _v316.stamp\\n _x = _v317\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v316.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(_v315.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v315.joint_names:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n length = len(_v315.points)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v315.points:\\n length = len(val3.positions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.positions.tostring())\\n length = len(val3.velocities)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.velocities.tostring())\\n length = len(val3.accelerations)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.accelerations.tostring())\\n length = len(val3.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.effort.tostring())\\n _v318 = val3.time_from_start\\n _x = _v318\\n buff.write(_get_struct_2i().pack(_x.secs, _x.nsecs))\\n buff.write(_get_struct_d().pack(val1.weight))\\n buff.write(_get_struct_B().pack(self.goal.request.start_state.is_diff))\\n length = len(self.goal.request.goal_constraints)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.goal_constraints:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.joint_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.joint_constraints:\\n _x = val2.joint_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2\\n buff.write(_get_struct_4d().pack(_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight))\\n length = len(val1.position_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.position_constraints:\\n _v319 = val2.header\\n buff.write(_get_struct_I().pack(_v319.seq))\\n _v320 = _v319.stamp\\n _x = _v320\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v319.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v321 = val2.target_point_offset\\n _x = _v321\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v322 = val2.constraint_region\\n length = len(_v322.primitives)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v322.primitives:\\n buff.write(_get_struct_B().pack(val4.type))\\n length = len(val4.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val4.dimensions.tostring())\\n length = len(_v322.primitive_poses)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v322.primitive_poses:\\n _v323 = val4.position\\n _x = _v323\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v324 = val4.orientation\\n _x = _v324\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v322.meshes)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v322.meshes:\\n length = len(val4.triangles)\\n buff.write(_struct_I.pack(length))\\n for val5 in val4.triangles:\\n buff.write(val5.vertex_indices.tostring())\\n length = len(val4.vertices)\\n buff.write(_struct_I.pack(length))\\n for val5 in val4.vertices:\\n _x = val5\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(_v322.mesh_poses)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v322.mesh_poses:\\n _v325 = val4.position\\n _x = _v325\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v326 = val4.orientation\\n _x = _v326\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_d().pack(val2.weight))\\n length = len(val1.orientation_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.orientation_constraints:\\n _v327 = val2.header\\n buff.write(_get_struct_I().pack(_v327.seq))\\n _v328 = _v327.stamp\\n _x = _v328\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v327.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v329 = val2.orientation\\n _x = _v329\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val2.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2\\n buff.write(_get_struct_4d().pack(_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight))\\n length = len(val1.visibility_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.visibility_constraints:\\n buff.write(_get_struct_d().pack(val2.target_radius))\\n _v330 = val2.target_pose\\n _v331 = _v330.header\\n buff.write(_get_struct_I().pack(_v331.seq))\\n _v332 = _v331.stamp\\n _x = _v332\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v331.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v333 = _v330.pose\\n _v334 = _v333.position\\n _x = _v334\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v335 = _v333.orientation\\n _x = _v335\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_i().pack(val2.cone_sides))\\n _v336 = val2.sensor_pose\\n _v337 = _v336.header\\n buff.write(_get_struct_I().pack(_v337.seq))\\n _v338 = _v337.stamp\\n _x = _v338\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v337.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v339 = _v336.pose\\n _v340 = _v339.position\\n _x = _v340\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v341 = _v339.orientation\\n _x = _v341\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val2\\n buff.write(_get_struct_2dBd().pack(_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight))\\n _x = self.goal.request.path_constraints.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.goal.request.path_constraints.joint_constraints)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.path_constraints.joint_constraints:\\n _x = val1.joint_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_get_struct_4d().pack(_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight))\\n length = len(self.goal.request.path_constraints.position_constraints)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.path_constraints.position_constraints:\\n _v342 = val1.header\\n buff.write(_get_struct_I().pack(_v342.seq))\\n _v343 = _v342.stamp\\n _x = _v343\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v342.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v344 = val1.target_point_offset\\n _x = _v344\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v345 = val1.constraint_region\\n length = len(_v345.primitives)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v345.primitives:\\n buff.write(_get_struct_B().pack(val3.type))\\n length = len(val3.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.dimensions.tostring())\\n length = len(_v345.primitive_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v345.primitive_poses:\\n _v346 = val3.position\\n _x = _v346\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v347 = val3.orientation\\n _x = _v347\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v345.meshes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v345.meshes:\\n length = len(val3.triangles)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.triangles:\\n buff.write(val4.vertex_indices.tostring())\\n length = len(val3.vertices)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.vertices:\\n _x = val4\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(_v345.mesh_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v345.mesh_poses:\\n _v348 = val3.position\\n _x = _v348\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v349 = val3.orientation\\n _x = _v349\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_d().pack(val1.weight))\\n length = len(self.goal.request.path_constraints.orientation_constraints)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.path_constraints.orientation_constraints:\\n _v350 = val1.header\\n buff.write(_get_struct_I().pack(_v350.seq))\\n _v351 = _v350.stamp\\n _x = _v351\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v350.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v352 = val1.orientation\\n _x = _v352\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_get_struct_4d().pack(_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight))\\n length = len(self.goal.request.path_constraints.visibility_constraints)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.path_constraints.visibility_constraints:\\n buff.write(_get_struct_d().pack(val1.target_radius))\\n _v353 = val1.target_pose\\n _v354 = _v353.header\\n buff.write(_get_struct_I().pack(_v354.seq))\\n _v355 = _v354.stamp\\n _x = _v355\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v354.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v356 = _v353.pose\\n _v357 = _v356.position\\n _x = _v357\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v358 = _v356.orientation\\n _x = _v358\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_i().pack(val1.cone_sides))\\n _v359 = val1.sensor_pose\\n _v360 = _v359.header\\n buff.write(_get_struct_I().pack(_v360.seq))\\n _v361 = _v360.stamp\\n _x = _v361\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v360.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v362 = _v359.pose\\n _v363 = _v362.position\\n _x = _v363\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v364 = _v362.orientation\\n _x = _v364\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val1\\n buff.write(_get_struct_2dBd().pack(_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight))\\n length = len(self.goal.request.trajectory_constraints.constraints)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.trajectory_constraints.constraints:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.joint_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.joint_constraints:\\n _x = val2.joint_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2\\n buff.write(_get_struct_4d().pack(_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight))\\n length = len(val1.position_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.position_constraints:\\n _v365 = val2.header\\n buff.write(_get_struct_I().pack(_v365.seq))\\n _v366 = _v365.stamp\\n _x = _v366\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v365.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v367 = val2.target_point_offset\\n _x = _v367\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v368 = val2.constraint_region\\n length = len(_v368.primitives)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v368.primitives:\\n buff.write(_get_struct_B().pack(val4.type))\\n length = len(val4.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val4.dimensions.tostring())\\n length = len(_v368.primitive_poses)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v368.primitive_poses:\\n _v369 = val4.position\\n _x = _v369\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v370 = val4.orientation\\n _x = _v370\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v368.meshes)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v368.meshes:\\n length = len(val4.triangles)\\n buff.write(_struct_I.pack(length))\\n for val5 in val4.triangles:\\n buff.write(val5.vertex_indices.tostring())\\n length = len(val4.vertices)\\n buff.write(_struct_I.pack(length))\\n for val5 in val4.vertices:\\n _x = val5\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(_v368.mesh_poses)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v368.mesh_poses:\\n _v371 = val4.position\\n _x = _v371\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v372 = val4.orientation\\n _x = _v372\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_d().pack(val2.weight))\\n length = len(val1.orientation_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.orientation_constraints:\\n _v373 = val2.header\\n buff.write(_get_struct_I().pack(_v373.seq))\\n _v374 = _v373.stamp\\n _x = _v374\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v373.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v375 = val2.orientation\\n _x = _v375\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val2.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2\\n buff.write(_get_struct_4d().pack(_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight))\\n length = len(val1.visibility_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.visibility_constraints:\\n buff.write(_get_struct_d().pack(val2.target_radius))\\n _v376 = val2.target_pose\\n _v377 = _v376.header\\n buff.write(_get_struct_I().pack(_v377.seq))\\n _v378 = _v377.stamp\\n _x = _v378\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v377.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v379 = _v376.pose\\n _v380 = _v379.position\\n _x = _v380\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v381 = _v379.orientation\\n _x = _v381\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_i().pack(val2.cone_sides))\\n _v382 = val2.sensor_pose\\n _v383 = _v382.header\\n buff.write(_get_struct_I().pack(_v383.seq))\\n _v384 = _v383.stamp\\n _x = _v384\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v383.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v385 = _v382.pose\\n _v386 = _v385.position\\n _x = _v386\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v387 = _v385.orientation\\n _x = _v387\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val2\\n buff.write(_get_struct_2dBd().pack(_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight))\\n length = len(self.goal.request.reference_trajectories)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.reference_trajectories:\\n _v388 = val1.header\\n buff.write(_get_struct_I().pack(_v388.seq))\\n _v389 = _v388.stamp\\n _x = _v389\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v388.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.joint_trajectory)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.joint_trajectory:\\n _v390 = val2.header\\n buff.write(_get_struct_I().pack(_v390.seq))\\n _v391 = _v390.stamp\\n _x = _v391\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v390.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.joint_names:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n length = len(val2.points)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.points:\\n length = len(val3.positions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.positions.tostring())\\n length = len(val3.velocities)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.velocities.tostring())\\n length = len(val3.accelerations)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.accelerations.tostring())\\n length = len(val3.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.effort.tostring())\\n _v392 = val3.time_from_start\\n _x = _v392\\n buff.write(_get_struct_2i().pack(_x.secs, _x.nsecs))\\n length = len(val1.cartesian_trajectory)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.cartesian_trajectory:\\n _v393 = val2.header\\n buff.write(_get_struct_I().pack(_v393.seq))\\n _v394 = _v393.stamp\\n _x = _v394\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v393.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.tracked_frame\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.points)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.points:\\n _v395 = val3.point\\n _v396 = _v395.pose\\n _v397 = _v396.position\\n _x = _v397\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v398 = _v396.orientation\\n _x = _v398\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _v399 = _v395.velocity\\n _v400 = _v399.linear\\n _x = _v400\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v401 = _v399.angular\\n _x = _v401\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v402 = _v395.acceleration\\n _v403 = _v402.linear\\n _x = _v403\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v404 = _v402.angular\\n _x = _v404\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v405 = val3.time_from_start\\n _x = _v405\\n buff.write(_get_struct_2i().pack(_x.secs, _x.nsecs))\\n _x = self.goal.request.planner_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.goal.request.group_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_i3d().pack(_x.goal.request.num_planning_attempts, _x.goal.request.allowed_planning_time, _x.goal.request.max_velocity_scaling_factor, _x.goal.request.max_acceleration_scaling_factor))\\n _x = self.goal.planning_options.planning_scene_diff.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs))\\n _x = self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.position)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.position.tostring())\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.velocity.tostring())\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.effort.tostring())\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.nsecs))\\n _x = self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms:\\n _v406 = val1.translation\\n _x = _v406\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v407 = val1.rotation\\n _x = _v407\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist:\\n _v408 = val1.linear\\n _x = _v408\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v409 = val1.angular\\n _x = _v409\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench:\\n _v410 = val1.force\\n _x = _v410\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v411 = val1.torque\\n _x = _v411\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v412 = val1.object\\n _v413 = _v412.header\\n buff.write(_get_struct_I().pack(_v413.seq))\\n _v414 = _v413.stamp\\n _x = _v414\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v413.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v412.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v415 = _v412.type\\n _x = _v415.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v415.db\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(_v412.primitives)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.primitives:\\n buff.write(_get_struct_B().pack(val3.type))\\n length = len(val3.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.dimensions.tostring())\\n length = len(_v412.primitive_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.primitive_poses:\\n _v416 = val3.position\\n _x = _v416\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v417 = val3.orientation\\n _x = _v417\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v412.meshes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.meshes:\\n length = len(val3.triangles)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.triangles:\\n buff.write(val4.vertex_indices.tostring())\\n length = len(val3.vertices)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.vertices:\\n _x = val4\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(_v412.mesh_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.mesh_poses:\\n _v418 = val3.position\\n _x = _v418\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v419 = val3.orientation\\n _x = _v419\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v412.planes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.planes:\\n buff.write(val3.coef.tostring())\\n length = len(_v412.plane_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.plane_poses:\\n _v420 = val3.position\\n _x = _v420\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v421 = val3.orientation\\n _x = _v421\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v412.subframe_names)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.subframe_names:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n length = len(_v412.subframe_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.subframe_poses:\\n _v422 = val3.position\\n _x = _v422\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v423 = val3.orientation\\n _x = _v423\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_b().pack(_v412.operation))\\n length = len(val1.touch_links)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.touch_links:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n _v424 = val1.detach_posture\\n _v425 = _v424.header\\n buff.write(_get_struct_I().pack(_v425.seq))\\n _v426 = _v425.stamp\\n _x = _v426\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v425.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(_v424.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v424.joint_names:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n length = len(_v424.points)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v424.points:\\n length = len(val3.positions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.positions.tostring())\\n length = len(val3.velocities)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.velocities.tostring())\\n length = len(val3.accelerations)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.accelerations.tostring())\\n length = len(val3.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.effort.tostring())\\n _v427 = val3.time_from_start\\n _x = _v427\\n buff.write(_get_struct_2i().pack(_x.secs, _x.nsecs))\\n buff.write(_get_struct_d().pack(val1.weight))\\n buff.write(_get_struct_B().pack(self.goal.planning_options.planning_scene_diff.robot_state.is_diff))\\n _x = self.goal.planning_options.planning_scene_diff.robot_model_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.goal.planning_options.planning_scene_diff.fixed_frame_transforms)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.fixed_frame_transforms:\\n _v428 = val1.header\\n buff.write(_get_struct_I().pack(_v428.seq))\\n _v429 = _v428.stamp\\n _x = _v429\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v428.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.child_frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v430 = val1.transform\\n _v431 = _v430.translation\\n _x = _v431\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v432 = _v430.rotation\\n _x = _v432\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values:\\n length = len(val1.enabled)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sB'%length\\n buff.write(val1.enabled.tostring())\\n length = len(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sB'%length\\n buff.write(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values.tostring())\\n length = len(self.goal.planning_options.planning_scene_diff.link_padding)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.link_padding:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_d().pack(val1.padding))\\n length = len(self.goal.planning_options.planning_scene_diff.link_scale)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.link_scale:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_d().pack(val1.scale))\\n length = len(self.goal.planning_options.planning_scene_diff.object_colors)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.object_colors:\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v433 = val1.color\\n _x = _v433\\n buff.write(_get_struct_4f().pack(_x.r, _x.g, _x.b, _x.a))\\n length = len(self.goal.planning_options.planning_scene_diff.world.collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.world.collision_objects:\\n _v434 = val1.header\\n buff.write(_get_struct_I().pack(_v434.seq))\\n _v435 = _v434.stamp\\n _x = _v435\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v434.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v436 = val1.type\\n _x = _v436.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v436.db\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.primitives)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.primitives:\\n buff.write(_get_struct_B().pack(val2.type))\\n length = len(val2.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val2.dimensions.tostring())\\n length = len(val1.primitive_poses)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.primitive_poses:\\n _v437 = val2.position\\n _x = _v437\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v438 = val2.orientation\\n _x = _v438\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.meshes)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.meshes:\\n length = len(val2.triangles)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.triangles:\\n buff.write(val3.vertex_indices.tostring())\\n length = len(val2.vertices)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.vertices:\\n _x = val3\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(val1.mesh_poses)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.mesh_poses:\\n _v439 = val2.position\\n _x = _v439\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v440 = val2.orientation\\n _x = _v440\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.planes)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.planes:\\n buff.write(val2.coef.tostring())\\n length = len(val1.plane_poses)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.plane_poses:\\n _v441 = val2.position\\n _x = _v441\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v442 = val2.orientation\\n _x = _v442\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.subframe_names)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.subframe_names:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n length = len(val1.subframe_poses)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.subframe_poses:\\n _v443 = val2.position\\n _x = _v443\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v444 = val2.orientation\\n _x = _v444\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_b().pack(val1.operation))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.goal.planning_options.planning_scene_diff.world.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.nsecs))\\n _x = self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_7d3I().pack(_x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.w, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.nsecs))\\n _x = self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_B().pack(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary))\\n _x = self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_d().pack(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.resolution))\\n length = len(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sb'%length\\n buff.write(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.data.tostring())\\n _x = self\\n buff.write(_get_struct_3BidBid().pack(_x.goal.planning_options.planning_scene_diff.is_diff, _x.goal.planning_options.plan_only, _x.goal.planning_options.look_around, _x.goal.planning_options.look_around_attempts, _x.goal.planning_options.max_safe_execution_cost, _x.goal.planning_options.replan, _x.goal.planning_options.replan_attempts, _x.goal.planning_options.replan_delay))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_4B3I.pack(_x.s1, _x.s2, _x.s3, _x.s4, _x.p1.header.seq, _x.p1.header.stamp.secs, _x.p1.header.stamp.nsecs))\\n _x = self.p1.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_3d3I.pack(_x.p1.point.x, _x.p1.point.y, _x.p1.point.z, _x.p2.header.seq, _x.p2.header.stamp.secs, _x.p2.header.stamp.nsecs))\\n _x = self.p2.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_3d3I.pack(_x.p2.point.x, _x.p2.point.y, _x.p2.point.z, _x.p3.header.seq, _x.p3.header.stamp.secs, _x.p3.header.stamp.nsecs))\\n _x = self.p3.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_3d3I.pack(_x.p3.point.x, _x.p3.point.y, _x.p3.point.z, _x.p4.header.seq, _x.p4.header.stamp.secs, _x.p4.header.stamp.nsecs))\\n _x = self.p4.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_3d.pack(_x.p4.point.x, _x.p4.point.y, _x.p4.point.z))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_2i.pack(_x.watch_dog, _x.num))\\n for val1 in self.users:\\n _x = val1\\n buff.write(_struct_2i.pack(_x.id, _x.trackedId))\\n _v25 = val1.date_discovered\\n _x = _v25\\n buff.write(_struct_2I.pack(_x.t_sec, _x.t_usec))\\n _v26 = val1.date\\n _x = _v26\\n buff.write(_struct_2I.pack(_x.t_sec, _x.t_usec))\\n _v27 = val1.state\\n buff.write(_struct_I.pack(_v27.value))\\n _v28 = val1.skeleton\\n for val3 in _v28.joint:\\n buff.write(_struct_d.pack(val3.confidence))\\n _v29 = val3.position\\n _x = _v29\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v30 = _v28.unused\\n buff.write(_struct_I.pack(_v30.value))\\n for val1 in self.filtered_users:\\n _x = val1\\n buff.write(_struct_2i.pack(_x.id, _x.trackedId))\\n _v31 = val1.date_discovered\\n _x = _v31\\n buff.write(_struct_2I.pack(_x.t_sec, _x.t_usec))\\n _v32 = val1.date\\n _x = _v32\\n buff.write(_struct_2I.pack(_x.t_sec, _x.t_usec))\\n _v33 = val1.state\\n buff.write(_struct_I.pack(_v33.value))\\n _v34 = val1.skeleton\\n for val3 in _v34.joint:\\n buff.write(_struct_d.pack(val3.confidence))\\n _v35 = val3.position\\n _x = _v35\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v36 = _v34.unused\\n buff.write(_struct_I.pack(_v36.value))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_2I().pack(_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs))\\n _x = self.goal_id.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_2i3I().pack(_x.goal.action_code, _x.goal.object_code, _x.goal.pickup_frame.header.seq, _x.goal.pickup_frame.header.stamp.secs, _x.goal.pickup_frame.header.stamp.nsecs))\\n _x = self.goal.pickup_frame.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_7d3I().pack(_x.goal.pickup_frame.pose.position.x, _x.goal.pickup_frame.pose.position.y, _x.goal.pickup_frame.pose.position.z, _x.goal.pickup_frame.pose.orientation.x, _x.goal.pickup_frame.pose.orientation.y, _x.goal.pickup_frame.pose.orientation.z, _x.goal.pickup_frame.pose.orientation.w, _x.goal.dropoff_frame.header.seq, _x.goal.dropoff_frame.header.stamp.secs, _x.goal.dropoff_frame.header.stamp.nsecs))\\n _x = self.goal.dropoff_frame.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_7d3I().pack(_x.goal.dropoff_frame.pose.position.x, _x.goal.dropoff_frame.pose.position.y, _x.goal.dropoff_frame.pose.position.z, _x.goal.dropoff_frame.pose.orientation.x, _x.goal.dropoff_frame.pose.orientation.y, _x.goal.dropoff_frame.pose.orientation.z, _x.goal.dropoff_frame.pose.orientation.w, _x.goal.gripper_goal_frame.header.seq, _x.goal.gripper_goal_frame.header.stamp.secs, _x.goal.gripper_goal_frame.header.stamp.nsecs))\\n _x = self.goal.gripper_goal_frame.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_7di().pack(_x.goal.gripper_goal_frame.pose.position.x, _x.goal.gripper_goal_frame.pose.position.y, _x.goal.gripper_goal_frame.pose.position.z, _x.goal.gripper_goal_frame.pose.orientation.x, _x.goal.gripper_goal_frame.pose.orientation.y, _x.goal.gripper_goal_frame.pose.orientation.z, _x.goal.gripper_goal_frame.pose.orientation.w, _x.goal.perception_source))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 56\\n (_x.command, _x.set_num, _x.paraset_byte54, _x.paraset_byte53, _x.paraset_byte52, _x.paraset_byte51, _x.paraset_byte50, _x.paraset_byte49, _x.paraset_byte48, _x.paraset_byte47, _x.paraset_byte46, _x.paraset_byte45, _x.paraset_byte44, _x.paraset_byte43, _x.paraset_byte42, _x.paraset_byte41, _x.paraset_byte40, _x.paraset_byte39, _x.paraset_byte38, _x.paraset_byte37, _x.paraset_byte36, _x.paraset_byte35, _x.paraset_byte34, _x.paraset_byte33, _x.paraset_byte32, _x.paraset_byte31, _x.paraset_byte30, _x.paraset_byte29, _x.paraset_byte28, _x.paraset_byte27, _x.paraset_byte26, _x.paraset_byte25, _x.paraset_byte24, _x.paraset_byte23, _x.paraset_byte22, _x.paraset_byte21, _x.paraset_byte20, _x.paraset_byte19, _x.paraset_byte18, _x.paraset_byte17, _x.paraset_byte16, _x.paraset_byte15, _x.paraset_byte14, _x.paraset_byte13, _x.paraset_byte12, _x.paraset_byte11, _x.paraset_byte10, _x.paraset_byte9, _x.paraset_byte8, _x.paraset_byte7, _x.paraset_byte6, _x.paraset_byte5, _x.paraset_byte4, _x.paraset_byte3, _x.paraset_byte2, _x.paraset_byte1,) = _get_struct_56B().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7994329","0.7972612","0.7893365","0.785495","0.7740611","0.7677824","0.7657543","0.7626826","0.75874037","0.7565361","0.75626636","0.75620574","0.7558187","0.75431186","0.7534563","0.7527763","0.75262064","0.75172293","0.75110817","0.749996","0.7497972","0.74832374","0.7479107","0.7471709","0.74682605","0.74646646","0.746435","0.7463879","0.74623495","0.7449862","0.7434278","0.74337375","0.7427498","0.7426039","0.74255985","0.74241513","0.73966664","0.73915565","0.73834527","0.7379829","0.7377253","0.73752964","0.73728055","0.7370881","0.73664415","0.7365433","0.73633677","0.73552924","0.7338015","0.7320973","0.7320606","0.73123485","0.73077923","0.73068595","0.73025703","0.72980374","0.7287885","0.72803277","0.7252093","0.72514594","0.72465616","0.72408265","0.72400105","0.7233364","0.72187835","0.72177404","0.7214914","0.7209451","0.71995455","0.71938413","0.7181025","0.71587664","0.71371704","0.71153873","0.71128285","0.70999646","0.70889825","0.70350146","0.70346206","0.7028944","0.7024778","0.7012065","0.7007262","0.7001727","0.69979334","0.69866544","0.6969084","0.6950105","0.6936536","0.69337714","0.6931643","0.6926454","0.6892917","0.6884027","0.68481374","0.6807753","0.67206204","0.66772145","0.66661936","0.6638984"],"string":"[\n \"0.7994329\",\n \"0.7972612\",\n \"0.7893365\",\n \"0.785495\",\n \"0.7740611\",\n \"0.7677824\",\n \"0.7657543\",\n \"0.7626826\",\n \"0.75874037\",\n \"0.7565361\",\n \"0.75626636\",\n \"0.75620574\",\n \"0.7558187\",\n \"0.75431186\",\n \"0.7534563\",\n \"0.7527763\",\n \"0.75262064\",\n \"0.75172293\",\n \"0.75110817\",\n \"0.749996\",\n \"0.7497972\",\n \"0.74832374\",\n \"0.7479107\",\n \"0.7471709\",\n \"0.74682605\",\n \"0.74646646\",\n \"0.746435\",\n \"0.7463879\",\n \"0.74623495\",\n \"0.7449862\",\n \"0.7434278\",\n \"0.74337375\",\n \"0.7427498\",\n \"0.7426039\",\n \"0.74255985\",\n \"0.74241513\",\n \"0.73966664\",\n \"0.73915565\",\n \"0.73834527\",\n \"0.7379829\",\n \"0.7377253\",\n \"0.73752964\",\n \"0.73728055\",\n \"0.7370881\",\n \"0.73664415\",\n \"0.7365433\",\n \"0.73633677\",\n \"0.73552924\",\n \"0.7338015\",\n \"0.7320973\",\n \"0.7320606\",\n \"0.73123485\",\n \"0.73077923\",\n \"0.73068595\",\n \"0.73025703\",\n \"0.72980374\",\n \"0.7287885\",\n \"0.72803277\",\n \"0.7252093\",\n \"0.72514594\",\n \"0.72465616\",\n \"0.72408265\",\n \"0.72400105\",\n \"0.7233364\",\n \"0.72187835\",\n \"0.72177404\",\n \"0.7214914\",\n \"0.7209451\",\n \"0.71995455\",\n \"0.71938413\",\n \"0.7181025\",\n \"0.71587664\",\n \"0.71371704\",\n \"0.71153873\",\n \"0.71128285\",\n \"0.70999646\",\n \"0.70889825\",\n \"0.70350146\",\n \"0.70346206\",\n \"0.7028944\",\n \"0.7024778\",\n \"0.7012065\",\n \"0.7007262\",\n \"0.7001727\",\n \"0.69979334\",\n \"0.69866544\",\n \"0.6969084\",\n \"0.6950105\",\n \"0.6936536\",\n \"0.69337714\",\n \"0.6931643\",\n \"0.6926454\",\n \"0.6892917\",\n \"0.6884027\",\n \"0.68481374\",\n \"0.6807753\",\n \"0.67206204\",\n \"0.66772145\",\n \"0.66661936\",\n \"0.6638984\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6728073"},"document_rank":{"kind":"string","value":"96"}}},{"rowIdx":88286,"cells":{"query":{"kind":"string","value":"unpack serialized message in str into this message instance using numpy for array types"},"document":{"kind":"string","value":"def deserialize_numpy(self, str, numpy):\n try:\n if self.ctrl is None:\n self.ctrl = actuators_canopen.msg.ElectromotorsState()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.ctrl.header.seq, _x.ctrl.header.stamp.secs, _x.ctrl.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.ctrl.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.ctrl.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.ctrl.left_em.header.seq, _x.ctrl.left_em.header.stamp.secs, _x.ctrl.left_em.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.ctrl.left_em.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.ctrl.left_em.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 16\n (_x.ctrl.left_em.rate, _x.ctrl.right_em.header.seq, _x.ctrl.right_em.header.stamp.secs, _x.ctrl.right_em.header.stamp.nsecs,) = _struct_f3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.ctrl.right_em.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.ctrl.right_em.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 16\n (_x.ctrl.right_em.rate, _x.ctrl.left_em_servo.header.seq, _x.ctrl.left_em_servo.header.stamp.secs, _x.ctrl.left_em_servo.header.stamp.nsecs,) = _struct_f3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.ctrl.left_em_servo.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.ctrl.left_em_servo.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 21\n (_x.ctrl.left_em_servo.anglex, _x.ctrl.left_em_servo.angley, _x.ctrl.left_em_servo.fix, _x.ctrl.right_em_servo.header.seq, _x.ctrl.right_em_servo.header.stamp.secs, _x.ctrl.right_em_servo.header.stamp.nsecs,) = _struct_2fB3I.unpack(str[start:end])\n self.ctrl.left_em_servo.fix = bool(self.ctrl.left_em_servo.fix)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.ctrl.right_em_servo.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.ctrl.right_em_servo.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 9\n (_x.ctrl.right_em_servo.anglex, _x.ctrl.right_em_servo.angley, _x.ctrl.right_em_servo.fix,) = _struct_2fB.unpack(str[start:end])\n self.ctrl.right_em_servo.fix = bool(self.ctrl.right_em_servo.fix)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 152\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _struct_2d2q14dq.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.msg = str[start:end].decode('utf-8')\n else:\n self.msg = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.position is None:\n self.position = geometry_msgs.msg.Point()\n if self.approach is None:\n self.approach = geometry_msgs.msg.Vector3()\n if self.binormal is None:\n self.binormal = geometry_msgs.msg.Vector3()\n if self.axis is None:\n self.axis = geometry_msgs.msg.Vector3()\n if self.width is None:\n self.width = std_msgs.msg.Float32()\n if self.score is None:\n self.score = std_msgs.msg.Float32()\n if self.sample is None:\n self.sample = geometry_msgs.msg.Point()\n end = 0\n _x = self\n start = end\n end += 128\n (_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z,) = _get_struct_12d2f3d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n end = 0\n _x = self\n start = end\n end += 72\n (_x.originId, _x.originType, _x.destinationId, _x.destinationType, _x.range, _x.ts, _x.seq, _x.rxPower, _x.channel, _x.datarate, _x.prf, _x.preambleLength, _x.txGain, _x.angle,) = _get_struct_ihih3i3d2i2d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.cmd = str[start:end].decode('utf-8')\n else:\n self.cmd = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.cat = str[start:end].decode('utf-8')\n else:\n self.cat = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n if python3:\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.control is None:\n self.control = vesc_msgs.msg.VescCtrl()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 56\n (_x.control.mode, _x.control.duty_cycle, _x.control.current, _x.control.brake, _x.control.speed, _x.control.position, _x.control.servo,) = _get_struct_q6d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n if python3:\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.Header is None:\n self.Header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.Header.seq, _x.Header.stamp.secs, _x.Header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.Header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.Header.frame_id = str[start:end]\n _x = self\n start = end\n end += 11\n (_x.x_pos, _x.y_pos, _x.angle, _x.code_type, _x.code_num,) = _get_struct_2hHBI().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg._Header.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 3\n (_x.gear, _x.front_diff, _x.rear_diff,) = _struct_3B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.sv is None:\n self.sv = None\n end = 0\n _x = self\n start = end\n end += 8\n (_x.rcvTOW, _x.week, _x.numSV, _x.reserved1,) = _get_struct_ih2B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.sv = []\n for i in range(0, length):\n val1 = ublox_msgs.msg.RxmRAW_SV()\n _x = val1\n start = end\n end += 24\n (_x.cpMes, _x.prMes, _x.doMes, _x.sv, _x.mesQI, _x.cno, _x.lli,) = _get_struct_2dfB2bB().unpack(str[start:end])\n self.sv.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.battery_voltage,) = _struct_f.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.flight_mode_ll = str[start:end].decode('utf-8')\n else:\n self.flight_mode_ll = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.state_estimation = str[start:end].decode('utf-8')\n else:\n self.state_estimation = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.position_control = str[start:end].decode('utf-8')\n else:\n self.position_control = str[start:end]\n _x = self\n start = end\n end += 10\n (_x.serial_interface_enabled, _x.serial_interface_active, _x.flight_time, _x.cpu_load,) = _struct_2B2f.unpack(str[start:end])\n self.serial_interface_enabled = bool(self.serial_interface_enabled)\n self.serial_interface_active = bool(self.serial_interface_active)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.motor_status = str[start:end].decode('utf-8')\n else:\n self.motor_status = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.gps_status = str[start:end].decode('utf-8')\n else:\n self.gps_status = str[start:end]\n _x = self\n start = end\n end += 9\n (_x.gps_num_satellites, _x.have_SSDK_parameters, _x.timesync_offset,) = _struct_iBf.unpack(str[start:end])\n self.have_SSDK_parameters = bool(self.have_SSDK_parameters)\n start = end\n end += 16\n self.rc_channel = numpy.frombuffer(str[start:end], dtype=numpy.uint16, count=8)\n start = end\n end += 12\n self.control_axes = numpy.frombuffer(str[start:end], dtype=numpy.uint16, count=6)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.control_buttons = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n _x = self\n start = end\n end += 48\n (_x.latitude, _x.longitude, _x.altitude, _x.pressure_height, _x.velocity_x, _x.velocity_y,) = _struct_6d.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 29\n (_x.status, _x.index, _x.range, _x.range_rate, _x.range_accl, _x.azimuth, _x.lateral_rate, _x.width, _x.is_mr_update, _x.is_lr_update, _x.amplitude,) = _get_struct_2B6f2Bb().unpack(str[start:end])\n self.is_mr_update = bool(self.is_mr_update)\n self.is_lr_update = bool(self.is_lr_update)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.vehicle_id is None:\n self.vehicle_id = opil_v2.msg.Id()\n if self.action_capability is None:\n self.action_capability = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.vehicle_id.id,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.vehicle_id.description = str[start:end].decode('utf-8')\n else:\n self.vehicle_id.description = str[start:end]\n _x = self\n start = end\n end += 84\n (_x.left_size, _x.right_size, _x.front_size, _x.rear_size, _x.min_height, _x.max_height, _x.payload, _x.max_pos_x_vel, _x.max_neg_x_vel, _x.max_pos_x_acc, _x.max_neg_x_acc, _x.max_pos_y_vel, _x.max_neg_y_vel, _x.max_pos_y_acc, _x.max_neg_y_acc, _x.max_pos_ang_vel, _x.max_neg_ang_vel, _x.velocity_control_sensitivity, _x.min_turning_radius, _x.batt_capacity, _x.batt_max_voltage,) = _get_struct_21f().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.vehicle_type = str[start:end].decode('utf-8')\n else:\n self.vehicle_type = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.vendor = str[start:end].decode('utf-8')\n else:\n self.vendor = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.action_capability = []\n for i in range(0, length):\n val1 = opil_v2.msg.RobotAction()\n _x = val1\n start = end\n end += 2\n (_x.category, _x.action,) = _get_struct_2B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.attributes = []\n for i in range(0, length):\n val2 = opil_v2.msg.Tuple()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.type = str[start:end].decode('utf-8')\n else:\n val2.type = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.value = str[start:end].decode('utf-8')\n else:\n val2.value = str[start:end]\n val1.attributes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.description = str[start:end].decode('utf-8')\n else:\n val1.description = str[start:end]\n self.action_capability.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 36\n (_x.mask, _x.dynModel, _x.fixMode, _x.fixedAlt, _x.fixedAltVar, _x.minElev, _x.drLimit, _x.pDop, _x.tDop, _x.pAcc, _x.tAcc, _x.staticHoldThresh, _x.dgpsTimeOut, _x.reserved2, _x.reserved3, _x.reserved4,) = _get_struct_H2BiIbB4H2B3I().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 57\n (_x.decision, _x.distance, _x.oriX, _x.oriY, _x.oriZ, _x.placX, _x.placY, _x.placZ,) = _get_struct_b7d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 8\n (self.i,) = _struct_d.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.icon is None:\n self.icon = rocon_std_msgs.msg.Icon()\n if self.remappings is None:\n self.remappings = None\n if self.pairing is None:\n self.pairing = rocon_interaction_msgs.msg.Pairing()\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.name = str[start:end].decode('utf-8')\n else:\n self.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.compatibility = str[start:end].decode('utf-8')\n else:\n self.compatibility = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.display_name = str[start:end].decode('utf-8')\n else:\n self.display_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.description = str[start:end].decode('utf-8')\n else:\n self.description = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.namespace = str[start:end].decode('utf-8')\n else:\n self.namespace = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.icon.resource_name = str[start:end].decode('utf-8')\n else:\n self.icon.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.icon.format = str[start:end].decode('utf-8')\n else:\n self.icon.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.icon.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.remappings = []\n for i in range(0, length):\n val1 = rocon_std_msgs.msg.Remapping()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.remap_from = str[start:end].decode('utf-8')\n else:\n val1.remap_from = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.remap_to = str[start:end].decode('utf-8')\n else:\n val1.remap_to = str[start:end]\n self.remappings.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.parameters = str[start:end].decode('utf-8')\n else:\n self.parameters = str[start:end]\n start = end\n end += 4\n (self.max,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.pairing.rapp = str[start:end].decode('utf-8')\n else:\n self.pairing.rapp = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.pairing.remappings = []\n for i in range(0, length):\n val1 = rocon_std_msgs.msg.Remapping()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.remap_from = str[start:end].decode('utf-8')\n else:\n val1.remap_from = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.remap_to = str[start:end].decode('utf-8')\n else:\n val1.remap_to = str[start:end]\n self.pairing.remappings.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.pairing.parameters = []\n for i in range(0, length):\n val1 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.key = str[start:end].decode('utf-8')\n else:\n val1.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.value = str[start:end].decode('utf-8')\n else:\n val1.value = str[start:end]\n self.pairing.parameters.append(val1)\n start = end\n end += 4\n (self.hash,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.role = str[start:end].decode('utf-8')\n else:\n self.role = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 1\n (self.result,) = _struct_B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.x is None:\n self.x = geometry_msgs.msg.PoseStamped()\n if self.x_desi is None:\n self.x_desi = geometry_msgs.msg.PoseStamped()\n if self.x_desi_filtered is None:\n self.x_desi_filtered = geometry_msgs.msg.PoseStamped()\n if self.x_err is None:\n self.x_err = geometry_msgs.msg.Twist()\n if self.xd is None:\n self.xd = geometry_msgs.msg.Twist()\n if self.xd_desi is None:\n self.xd_desi = geometry_msgs.msg.Twist()\n if self.F is None:\n self.F = geometry_msgs.msg.Wrench()\n if self.J is None:\n self.J = std_msgs.msg.Float64MultiArray()\n if self.N is None:\n self.N = std_msgs.msg.Float64MultiArray()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x_desi.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x_desi.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x_desi_filtered.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x_desi_filtered.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 248\n (_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z,) = _get_struct_31d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau_pose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau_posture = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.J.layout.dim = []\n for i in range(0, length):\n val1 = std_msgs.msg.MultiArrayDimension()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.label = str[start:end].decode('utf-8')\n else:\n val1.label = str[start:end]\n _x = val1\n start = end\n end += 8\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\n self.J.layout.dim.append(val1)\n start = end\n end += 4\n (self.J.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.J.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.N.layout.dim = []\n for i in range(0, length):\n val1 = std_msgs.msg.MultiArrayDimension()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.label = str[start:end].decode('utf-8')\n else:\n val1.label = str[start:end]\n _x = val1\n start = end\n end += 8\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\n self.N.layout.dim.append(val1)\n start = end\n end += 4\n (self.N.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.N.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.model is None:\n self.model = articulation_msgs.msg.ModelMsg()\n if self.data is None:\n self.data = articulation_msgs.msg.ModelMsg()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.model.header.seq, _x.model.header.stamp.secs, _x.model.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model.name = str[start:end].decode('utf-8')\n else:\n self.model.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.model.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.model.track.header.seq, _x.model.track.header.stamp.secs, _x.model.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v43 = val1.position\n _x = _v43\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v44 = val1.orientation\n _x = _v44\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v45 = val1.stamp\n _x = _v45\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.model.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v46 = val1.position\n _x = _v46\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v47 = val1.orientation\n _x = _v47\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v48 = val1.position\n _x = _v48\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v49 = val1.orientation\n _x = _v49\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.model.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n self.model.track.channels.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data.header.seq, _x.data.header.stamp.secs, _x.data.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data.name = str[start:end].decode('utf-8')\n else:\n self.data.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.data.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data.track.header.seq, _x.data.track.header.stamp.secs, _x.data.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v50 = val1.position\n _x = _v50\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v51 = val1.orientation\n _x = _v51\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v52 = val1.stamp\n _x = _v52\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.data.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v53 = val1.position\n _x = _v53\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v54 = val1.orientation\n _x = _v54\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v55 = val1.position\n _x = _v55\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v56 = val1.orientation\n _x = _v56\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.data.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n self.data.track.channels.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.model_aligned is None:\n self.model_aligned = articulation_msgs.msg.ModelMsg()\n if self.data_aligned is None:\n self.data_aligned = articulation_msgs.msg.ModelMsg()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model_aligned.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model_aligned.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.name = str[start:end].decode('utf-8')\n else:\n self.model_aligned.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.model_aligned.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model_aligned.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model_aligned.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v99 = val1.position\n _x = _v99\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v100 = val1.orientation\n _x = _v100\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v101 = val1.stamp\n _x = _v101\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.model_aligned.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v102 = val1.position\n _x = _v102\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v103 = val1.orientation\n _x = _v103\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v104 = val1.position\n _x = _v104\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v105 = val1.orientation\n _x = _v105\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.model_aligned.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n self.model_aligned.track.channels.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data_aligned.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data_aligned.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.name = str[start:end].decode('utf-8')\n else:\n self.data_aligned.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.data_aligned.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data_aligned.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data_aligned.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v106 = val1.position\n _x = _v106\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v107 = val1.orientation\n _x = _v107\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v108 = val1.stamp\n _x = _v108\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.data_aligned.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v109 = val1.position\n _x = _v109\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v110 = val1.orientation\n _x = _v110\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v111 = val1.position\n _x = _v111\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v112 = val1.orientation\n _x = _v112\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.data_aligned.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n self.data_aligned.track.channels.append(val1)\n start = end\n end += 72\n self.R = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\n start = end\n end += 24\n self.T = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 12\n (_x.dist_rot, _x.dist_trans,) = _struct_df.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 34\n (_x.sensorId, _x.id, _x.length, _x.width, _x.measstat, _x.existprob, _x.dynprop, _x.latdisp, _x.longdisp, _x.relxdot, _x.relxddot, _x.latspeed, _x.obsprob, _x.rollcount, _x.rcs,) = _struct_H6B5f2Bf.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.tsp_turtles = str[start:end].decode('utf-8')\n else:\n self.tsp_turtles = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.conveyor_turtle = str[start:end].decode('utf-8')\n else:\n self.conveyor_turtle = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.catch_turtle = str[start:end].decode('utf-8')\n else:\n self.catch_turtle = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 56\n (_x.command, _x.set_num, _x.paraset_byte54, _x.paraset_byte53, _x.paraset_byte52, _x.paraset_byte51, _x.paraset_byte50, _x.paraset_byte49, _x.paraset_byte48, _x.paraset_byte47, _x.paraset_byte46, _x.paraset_byte45, _x.paraset_byte44, _x.paraset_byte43, _x.paraset_byte42, _x.paraset_byte41, _x.paraset_byte40, _x.paraset_byte39, _x.paraset_byte38, _x.paraset_byte37, _x.paraset_byte36, _x.paraset_byte35, _x.paraset_byte34, _x.paraset_byte33, _x.paraset_byte32, _x.paraset_byte31, _x.paraset_byte30, _x.paraset_byte29, _x.paraset_byte28, _x.paraset_byte27, _x.paraset_byte26, _x.paraset_byte25, _x.paraset_byte24, _x.paraset_byte23, _x.paraset_byte22, _x.paraset_byte21, _x.paraset_byte20, _x.paraset_byte19, _x.paraset_byte18, _x.paraset_byte17, _x.paraset_byte16, _x.paraset_byte15, _x.paraset_byte14, _x.paraset_byte13, _x.paraset_byte12, _x.paraset_byte11, _x.paraset_byte10, _x.paraset_byte9, _x.paraset_byte8, _x.paraset_byte7, _x.paraset_byte6, _x.paraset_byte5, _x.paraset_byte4, _x.paraset_byte3, _x.paraset_byte2, _x.paraset_byte1,) = _get_struct_56B().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.prefixes is None:\n self.prefixes = None\n if self.address is None:\n self.address = knowrob_semantic_map_msgs.msg.SemMapAddress()\n if self.objects is None:\n self.objects = None\n if self.actions is None:\n self.actions = None\n if self.object_properties is None:\n self.object_properties = None\n if self.data_properties is None:\n self.data_properties = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.namespace = str[start:end].decode('utf-8')\n else:\n self.namespace = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.id = str[start:end].decode('utf-8')\n else:\n self.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.prefixes = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapPrefix()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.prefix = str[start:end].decode('utf-8')\n else:\n val1.prefix = str[start:end]\n self.prefixes.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.imports = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.imports.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.room_nr = str[start:end].decode('utf-8')\n else:\n self.address.room_nr = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.floor_nr = str[start:end].decode('utf-8')\n else:\n self.address.floor_nr = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.street_nr = str[start:end].decode('utf-8')\n else:\n self.address.street_nr = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.street_name = str[start:end].decode('utf-8')\n else:\n self.address.street_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.city_name = str[start:end].decode('utf-8')\n else:\n self.address.city_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.objects = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapObject()\n _v19 = val1.header\n start = end\n end += 4\n (_v19.seq,) = _struct_I.unpack(str[start:end])\n _v20 = _v19.stamp\n _x = _v20\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v19.frame_id = str[start:end].decode('utf-8')\n else:\n _v19.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.type = str[start:end].decode('utf-8')\n else:\n val1.type = str[start:end]\n _v21 = val1.size\n _x = _v21\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\n _v22 = val1.pose\n _v23 = _v22.position\n _x = _v23\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v24 = _v22.orientation\n _x = _v24\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.part_of = str[start:end].decode('utf-8')\n else:\n val1.part_of = str[start:end]\n self.objects.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.actions = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapAction()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.type = str[start:end].decode('utf-8')\n else:\n val1.type = str[start:end]\n start = end\n end += 1\n (val1.asserted,) = _struct_B.unpack(str[start:end])\n val1.asserted = bool(val1.asserted)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.object_acted_on = str[start:end].decode('utf-8')\n else:\n val1.object_acted_on = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.subactions = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.subactions.append(val2)\n _x = val1\n start = end\n end += 2\n (_x.quantification, _x.unordered,) = _struct_bB.unpack(str[start:end])\n val1.unordered = bool(val1.unordered)\n self.actions.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.object_properties = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapObjectProperty()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.subject = str[start:end].decode('utf-8')\n else:\n val1.subject = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.object = str[start:end].decode('utf-8')\n else:\n val1.object = str[start:end]\n self.object_properties.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_properties = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapDataProperty()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.subject = str[start:end].decode('utf-8')\n else:\n val1.subject = str[start:end]\n start = end\n end += 1\n (val1.value_type,) = _struct_B.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.value = str[start:end].decode('utf-8')\n else:\n val1.value = str[start:end]\n self.data_properties.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.type is None:\n self.type = std_msgs.msg.String()\n if self.parent_name is None:\n self.parent_name = std_msgs.msg.String()\n if self.name is None:\n self.name = std_msgs.msg.String()\n if self.pose is None:\n self.pose = geometry_msgs.msg.Pose()\n if self.sensed_objects is None:\n self.sensed_objects = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.sim_step,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.type.data = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.type.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.parent_name.data = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.parent_name.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.name.data = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.name.data = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.wall_time, _x.sim_time, _x.pose.position.x, _x.pose.position.y, _x.pose.position.z, _x.pose.orientation.x, _x.pose.orientation.y, _x.pose.orientation.z, _x.pose.orientation.w, _x.count,) = _get_struct_2f7dI().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sB'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.triggered = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\n self.triggered = list(map(bool, self.triggered))\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.range = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.measurement = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.sensed_objects = []\n for i in range(0, length):\n val1 = std_msgs.msg.String()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.data = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1.data = str[start:end]\n self.sensed_objects.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.sensed_objects_map = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 100\n (_x.id, _x.age, _x.velocidad_relativa_x, _x.velocidad_relativa_y, _x.velocidad_absoluta_x, _x.velocidad_absoluta_y, _x.velocidad_absoluta_sigma_x, _x.velocidad_absoluta_sigma_y, _x.bounding_box_centro_x, _x.bounding_box_centro_y, _x.bounding_box_largo, _x.bounding_box_ancho, _x.object_box_centro_x, _x.object_box_centro_y, _x.object_box_orientacion, _x.object_box_size_x, _x.object_box_size_y, _x.clasificacion, _x.clasificacion_age, _x.clasificacion_certeza, _x.punto_cercano_x, _x.punto_cercano_y, _x.punto_referencia_x, _x.punto_referencia_y, _x.punto_referencia_sigma_x, _x.punto_referencia_sigma_y,) = _get_struct_h16fh8f().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.RPY is None:\n self.RPY = geometry_msgs.msg.Vector3()\n if self.LLA is None:\n self.LLA = geometry_msgs.msg.Vector3()\n if self.NedVel is None:\n self.NedVel = geometry_msgs.msg.Vector3()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 116\n (_x.Time, _x.Week, _x.Status, _x.RPY.x, _x.RPY.y, _x.RPY.z, _x.LLA.x, _x.LLA.y, _x.LLA.z, _x.NedVel.x, _x.NedVel.y, _x.NedVel.z, _x.YawUncertainty, _x.PitchUncertainty, _x.RollUncertainty, _x.PosUncertainty, _x.VelUncertainty, _x.SyncInTime, _x.SyncInCount,) = _get_struct_d2H9d5fdI().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 112\n (_x.u0, _x.h0, _x.vl, _x.i0, _x.wv, _x.wh, _x.wi, _x.h_stop, _x.T_gap, _x.v_max, _x.v_min, _x.h_min, _x.i_max, _x.i_min,) = _struct_14d.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.pointA is None:\n self.pointA = nubot_common.msg.Point2d()\n if self.pointB is None:\n self.pointB = nubot_common.msg.Point2d()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 26\n (_x.MatchMode, _x.MatchType, _x.TestMode, _x.pointA.x, _x.pointA.y, _x.pointB.x, _x.pointB.y, _x.angleA, _x.angleB, _x.idA, _x.idB, _x.kickforce,) = _get_struct_3B4f2h3B().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.pose is None:\n self.pose = geometry_msgs.msg.PoseWithCovariance()\n end = 0\n _x = self\n start = end\n end += 72\n (_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w,) = _get_struct_Q8d().unpack(str[start:end])\n start = end\n end += 288\n self.pose.covariance = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=36)\n _x = self\n start = end\n end += 40\n (_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h,) = _get_struct_5d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.modality = str[start:end].decode('utf-8')\n else:\n self.modality = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.embed_vector = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg._Header.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 9\n (_x.dvl_sts, _x.svs_sts, _x.fog_sts, _x.nav_sts, _x.bat_sts, _x.t_sts, _x.h_sts, _x.p_sts, _x.water_sts,) = _struct_9B.unpack(str[start:end])\n self.dvl_sts = bool(self.dvl_sts)\n self.svs_sts = bool(self.svs_sts)\n self.fog_sts = bool(self.fog_sts)\n self.nav_sts = bool(self.nav_sts)\n self.bat_sts = bool(self.bat_sts)\n self.t_sts = bool(self.t_sts)\n self.h_sts = bool(self.h_sts)\n self.p_sts = bool(self.p_sts)\n self.water_sts = bool(self.water_sts)\n return self\n except struct.error as e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.predict is None:\n self.predict = argus_msgs.msg.FilterPredictStep()\n if self.update is None:\n self.update = argus_msgs.msg.FilterUpdateStep()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 26\n (_x.step_num, _x.info_type, _x.predict.step_dt, _x.predict.trans_jacobian.column_major, _x.predict.trans_jacobian.rows, _x.predict.trans_jacobian.cols,) = _get_struct_QBdB2I().unpack(str[start:end])\n self.predict.trans_jacobian.column_major = bool(self.predict.trans_jacobian.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.predict.trans_jacobian.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.predict.trans_noise_cov.column_major, _x.predict.trans_noise_cov.rows, _x.predict.trans_noise_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.predict.trans_noise_cov.column_major = bool(self.predict.trans_noise_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.predict.trans_noise_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.predict.prior_state_cov.column_major, _x.predict.prior_state_cov.rows, _x.predict.prior_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.predict.prior_state_cov.column_major = bool(self.predict.prior_state_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.predict.prior_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.predict.post_state_cov.column_major, _x.predict.post_state_cov.rows, _x.predict.post_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.predict.post_state_cov.column_major = bool(self.predict.post_state_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.predict.post_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.update.prior_state_cov.column_major, _x.update.prior_state_cov.rows, _x.update.prior_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.prior_state_cov.column_major = bool(self.update.prior_state_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.prior_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.prior_obs_error = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.update.obs_error_cov.column_major, _x.update.obs_error_cov.rows, _x.update.obs_error_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.obs_error_cov.column_major = bool(self.update.obs_error_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.obs_error_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.update.post_state_cov.column_major, _x.update.post_state_cov.rows, _x.update.post_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.post_state_cov.column_major = bool(self.update.post_state_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.post_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.state_delta = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.post_obs_error = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.update.obs_jacobian.column_major, _x.update.obs_jacobian.rows, _x.update.obs_jacobian.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.obs_jacobian.column_major = bool(self.update.obs_jacobian.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.obs_jacobian.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.update.obs_noise_cov.column_major, _x.update.obs_noise_cov.rows, _x.update.obs_noise_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.obs_noise_cov.column_major = bool(self.update.obs_noise_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.obs_noise_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 1\n (self.type,) = _struct_B.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model = str[start:end].decode('utf-8')\n else:\n self.model = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.head_version = str[start:end].decode('utf-8')\n else:\n self.head_version = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.body_version = str[start:end].decode('utf-8')\n else:\n self.body_version = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.arm_version = str[start:end].decode('utf-8')\n else:\n self.arm_version = str[start:end]\n _x = self\n start = end\n end += 14\n (_x.has_laser, _x.has_extended_arms, _x.number_of_legs, _x.number_of_arms, _x.number_of_hands,) = _struct_2B3i.unpack(str[start:end])\n self.has_laser = bool(self.has_laser)\n self.has_extended_arms = bool(self.has_extended_arms)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.base is None:\n self.base = rwrc12_msgs.msg.CellBase()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.base.header.seq, _x.base.header.stamp.secs, _x.base.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.base.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.base.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 20\n (_x.base.cell_width, _x.base.cell_height, _x.base.position.x, _x.base.position.y, _x.base.position.z,) = _struct_5f.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.base.points = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Point32()\n _x = val1\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\n self.base.points.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.base.intensity = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n start = end\n end += 1\n (self.base.cost,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.base.label = str[start:end].decode('utf-8')\n else:\n self.base.label = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.mean_height, _x.mean_intensity,) = _struct_2f.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.cond_transition is None:\n self.cond_transition = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.state_path = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.state_path = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.state_class = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.state_class = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.initial_state_name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.initial_state_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.input_keys = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.input_keys.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.output_keys = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.output_keys.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.cond_outcome = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.cond_outcome.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.cond_transition = []\n for i in range(0, length):\n val1 = flexbe_msgs.msg.OutcomeCondition()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.state_name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val2 = str[start:end]\n val1.state_name.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.state_outcome = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val2 = str[start:end]\n val1.state_outcome.append(val2)\n self.cond_transition.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.behavior_class = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.behavior_class = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.parameter_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.parameter_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.parameter_values = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.parameter_values.append(val1)\n start = end\n end += 8\n self.position = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.outcomes = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.outcomes.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.transitions = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.transitions.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sb'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.autonomy = numpy.frombuffer(str[start:end], dtype=numpy.int8, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.userdata_keys = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.userdata_keys.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.userdata_remapping = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.userdata_remapping.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 6\n (_x.sbpl_wait_flag, _x.sbpl_present_x, _x.sbpl_present_y, _x.sbpl_new_x, _x.sbpl_new_y, _x.start_P3DX_motion,) = _struct_B4bB.unpack(str[start:end])\n self.sbpl_wait_flag = bool(self.sbpl_wait_flag)\n self.start_P3DX_motion = bool(self.start_P3DX_motion)\n return self\n except struct.error as e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n if python3:\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 86\n (_x.sample_count, _x.ekf_roll, _x.ekf_pitch, _x.ekf_yaw, _x.ekf_lat, _x.ekf_lon, _x.ekf_alt, _x.ekf_vN, _x.ekf_vE, _x.ekf_vD, _x.ekf_vX, _x.ekf_vY, _x.ekf_vZ, _x.rad_gyro_X, _x.rad_gyro_Y, _x.rad_gyro_Z, _x.angular_acc_X, _x.angular_acc_Y, _x.angular_acc_Z, _x.alt_DVL,) = _get_struct_I3f2d13fH().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.dvl_error_code = str[start:end]\n _x = self\n start = end\n end += 73\n (_x.flag_to_check, _x.imu_deg_gyro_X, _x.imu_deg_gyro_Y, _x.imu_deg_gyro_Z, _x.imu_mag_X, _x.imu_mag_Y, _x.imu_mag_Z, _x.imu_acc_X, _x.imu_acc_Y, _x.imu_acc_Z, _x.gps_lat, _x.gps_lon, _x.gps_alt, _x.gps_vN, _x.gps_vE, _x.gps_vD, _x.dvl_vX, _x.dvl_vY, _x.dvl_vZ,) = _get_struct_B9f2i7f().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.actors is None:\n self.actors = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.actors = []\n for i in range(0, length):\n val1 = nesfr3_msgs.msg.Actor()\n _v25 = val1.header\n start = end\n end += 4\n (_v25.seq,) = _get_struct_I().unpack(str[start:end])\n _v26 = _v25.stamp\n _x = _v26\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v25.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v25.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (val1.tracking_id,) = _get_struct_I().unpack(str[start:end])\n _v27 = val1.pose\n _v28 = _v27.pose\n _v29 = _v28.position\n _x = _v29\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v30 = _v28.orientation\n _x = _v30\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 288\n _v27.covariance = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=36)\n val1.points = []\n for i in range(0, 18):\n val2 = nesfr3_msgs.msg.PointWithConfidence()\n _v31 = val2.point\n _x = _v31\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 4\n (val2.confidence,) = _get_struct_f().unpack(str[start:end])\n val1.points.append(val2)\n _v32 = val1.nose_point\n _x = _v32\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.actors.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 56\n (_x.s_x, _x.s_y, _x.f_x, _x.f_y, _x.step_size, _x.bias_param, _x.max_iteration,) = _struct_7q.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 1\n (self.success,) = _struct_B.unpack(str[start:end])\n self.success = bool(self.success)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.c0 is None:\n self.c0 = bh_motion.msg.Vector3()\n if self.c1 is None:\n self.c1 = bh_motion.msg.Vector3()\n if self.c2 is None:\n self.c2 = bh_motion.msg.Vector3()\n end = 0\n _x = self\n start = end\n end += 36\n (_x.c0.x, _x.c0.y, _x.c0.z, _x.c1.x, _x.c1.y, _x.c1.z, _x.c2.x, _x.c2.y, _x.c2.z,) = _struct_9f.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.canmsg = str[start:end].decode('utf-8')\n else:\n self.canmsg = str[start:end]\n _x = self\n start = end\n end += 30\n (_x.track_id, _x.track_lat_rate, _x.track_group_changed, _x.track_status, _x.track_angle, _x.track_range, _x.track_bridge_object, _x.track_rolling_count, _x.track_width, _x.track_range_accel, _x.track_med_range_mode, _x.track_range_rate,) = _get_struct_Bf2B2f2B2fBf().unpack(str[start:end])\n self.track_group_changed = bool(self.track_group_changed)\n self.track_bridge_object = bool(self.track_bridge_object)\n self.track_rolling_count = bool(self.track_rolling_count)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 16\n (_x.FL_vel, _x.FR_vel, _x.BL_vel, _x.BR_vel,) = _struct_4i.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 72\n (_x.health, _x.utcA0, _x.utcA1, _x.utcTOW, _x.utcWNT, _x.utcLS, _x.utcWNF, _x.utcDN, _x.utcLSF, _x.utcSpare, _x.klobA0, _x.klobA1, _x.klobA2, _x.klobA3, _x.klobB0, _x.klobB1, _x.klobB2, _x.klobB3, _x.flags,) = _get_struct_I2di6h8fI().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 12\n (_x.hlive, _x.hstate, _x.hfinished, _x.pressure, _x.c1, _x.c2, _x.c3, _x.c4, _x.c5, _x.c6, _x.c7, _x.c8,) = _struct_12B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 24\n (_x.sysid, _x.compid, _x.limits_state, _x.last_trigger, _x.last_action, _x.last_recovery, _x.last_clear, _x.breach_count, _x.mods_enabled, _x.mods_required, _x.mods_triggered,) = _struct_3B4IH3B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.nodes is None:\n self.nodes = None\n end = 0\n _x = self\n start = end\n end += 14\n (_x.role, _x.id, _x.local_time, _x.system_time, _x.voltage,) = _get_struct_2B2If().unpack(str[start:end])\n start = end\n end += 12\n self.pos_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\n start = end\n end += 12\n self.eop_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\n start = end\n end += 12\n self.vel_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\n start = end\n end += 12\n self.angle_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\n start = end\n end += 16\n self.quaternion = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=4)\n start = end\n end += 12\n self.imu_gyro_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\n start = end\n end += 12\n self.imu_acc_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.nodes = []\n for i in range(0, length):\n val1 = nlink_parser.msg.LinktrackNode2()\n _x = val1\n start = end\n end += 14\n (_x.role, _x.id, _x.dis, _x.fp_rssi, _x.rx_rssi,) = _get_struct_2B3f().unpack(str[start:end])\n self.nodes.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.Hlines is None:\n self.Hlines = None\n if self.Vlines is None:\n self.Vlines = None\n if self.regions is None:\n self.regions = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 4\n (_x.image_width, _x.image_height,) = _get_struct_2H().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.Hlines = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Point()\n _x = val1\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.Hlines.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.Vlines = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Point()\n _x = val1\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.Vlines.append(val1)\n start = end\n end += 2\n (self.PFPS,) = _get_struct_H().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.regions = []\n for i in range(0, length):\n val1 = cooperative_driving_vision.msg.Region()\n _v7 = val1.color\n _x = _v7\n start = end\n end += 16\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\n _v8 = val1.moment\n _x = _v8\n start = end\n end += 40\n (_x.m00, _x.m10, _x.m01, _x.m11, _x.m20, _x.m02, _x.m21, _x.m12, _x.m30, _x.m03,) = _get_struct_10f().unpack(str[start:end])\n self.regions.append(val1)\n _x = self\n start = end\n end += 4\n (_x.box_width, _x.box_height,) = _get_struct_2H().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.position is None:\n self.position = pcl_segment.msg.positionRPY()\n end = 0\n _x = self\n start = end\n end += 57\n (_x.position.x, _x.position.y, _x.position.z, _x.position.roll, _x.position.pitch, _x.position.yaw, _x.position.stamp.secs, _x.position.stamp.nsecs, _x.is_Known,) = _get_struct_6d2IB().unpack(str[start:end])\n self.is_Known = bool(self.is_Known)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 142\n (_x.Timestamp_sec, _x.Timestamp_nsec, _x.Roll, _x.Pitch, _x.Yaw, _x.Wx, _x.Wy, _x.Wz, _x.AcelX, _x.AcelY, _x.AcelZ, _x.VelN, _x.VelE, _x.VelZ, _x.GPSLong, _x.GPSLat, _x.GPSAlt, _x.Temp, _x.IMUTime, _x.BITStatus,) = _get_struct_2i16dih().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 72\n (_x.lnid, _x.did, _x.blid, _x.flid, _x.bnid, _x.fnid, _x.jct, _x.blid2, _x.blid3, _x.blid4, _x.flid2, _x.flid3, _x.flid4, _x.clossid, _x.span, _x.lcnt, _x.lno,) = _struct_14id2i.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.localStamp is None:\n self.localStamp = vehicle_msgs.msg.FrameStamp()\n if self.globalStamp is None:\n self.globalStamp = vehicle_msgs.msg.FrameStamp()\n if self.camera is None:\n self.camera = vehicle_msgs.msg.Camera()\n if self.camera_obj is None:\n self.camera_obj = None\n if self.camera_lane is None:\n self.camera_lane = vehicle_msgs.msg.Camera_Lane()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 16\n (_x.messageID, _x.localStamp.header.seq, _x.localStamp.header.stamp.secs, _x.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.localStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.localStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.localStamp.time, _x.localStamp.lat, _x.localStamp.lng, _x.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.localStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.localStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.localStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.localStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 12\n (_x.globalStamp.header.seq, _x.globalStamp.header.stamp.secs, _x.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.globalStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.globalStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.globalStamp.time, _x.globalStamp.lat, _x.globalStamp.lng, _x.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.globalStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.globalStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.globalStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.globalStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 12\n (_x.camera.header.seq, _x.camera.header.stamp.secs, _x.camera.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 16\n (_x.camera.messageID, _x.camera.localStamp.header.seq, _x.camera.localStamp.header.stamp.secs, _x.camera.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera.localStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera.localStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.camera.localStamp.time, _x.camera.localStamp.lat, _x.camera.localStamp.lng, _x.camera.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.camera.localStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera.localStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera.localStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera.localStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 12\n (_x.camera.globalStamp.header.seq, _x.camera.globalStamp.header.stamp.secs, _x.camera.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera.globalStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera.globalStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.camera.globalStamp.time, _x.camera.globalStamp.lat, _x.camera.globalStamp.lng, _x.camera.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.camera.globalStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera.globalStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera.globalStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera.globalStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 12\n (_x.camera.camera_numobstacles, _x.camera.VehSpeed,) = _get_struct_id().unpack(str[start:end])\n self.camera_obj = []\n for i in range(0, 10):\n val1 = vehicle_msgs.msg.Camera_Obj()\n _v25 = val1.header\n start = end\n end += 4\n (_v25.seq,) = _get_struct_I().unpack(str[start:end])\n _v26 = _v25.stamp\n _x = _v26\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v25.frame_id = str[start:end].decode('utf-8')\n else:\n _v25.frame_id = str[start:end]\n start = end\n end += 4\n (val1.messageID,) = _get_struct_i().unpack(str[start:end])\n _v27 = val1.localStamp\n _v28 = _v27.header\n start = end\n end += 4\n (_v28.seq,) = _get_struct_I().unpack(str[start:end])\n _v29 = _v28.stamp\n _x = _v29\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v28.frame_id = str[start:end].decode('utf-8')\n else:\n _v28.frame_id = str[start:end]\n _x = _v27\n start = end\n end += 32\n (_x.time, _x.lat, _x.lng, _x.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n _v27.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n _v27.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n _v27.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n _v27.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _v30 = val1.globalStamp\n _v31 = _v30.header\n start = end\n end += 4\n (_v31.seq,) = _get_struct_I().unpack(str[start:end])\n _v32 = _v31.stamp\n _x = _v32\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v31.frame_id = str[start:end].decode('utf-8')\n else:\n _v31.frame_id = str[start:end]\n _x = _v30\n start = end\n end += 32\n (_x.time, _x.lat, _x.lng, _x.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n _v30.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n _v30.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n _v30.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n _v30.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = val1\n start = end\n end += 136\n (_x.camera_obstacle_id, _x.camera_obstacleposx, _x.camera_obstacleposy, _x.blinkerInfo, _x.cut_in_and_out, _x.obstacle_type, _x.obstacle_status, _x.obstacle_valid, _x.obstacles_brake_lights, _x.obstacle_length, _x.obstacle_width, _x.obstacles_velx, _x.obstacleAge, _x.obstacleLane, _x.CIPVFlag, _x.RadarPosX, _x.RadarVelX, _x.RadarMatchConfidence, _x.MatcheRadarID, _x.obstacleAngleRate, _x.obstacles_velY, _x.object_Accel_X, _x.obstacleReplaced, _x.obstacleAngle,) = _get_struct_i2d6i3d3i2d2ididid().unpack(str[start:end])\n self.camera_obj.append(val1)\n _x = self\n start = end\n end += 12\n (_x.camera_lane.header.seq, _x.camera_lane.header.stamp.secs, _x.camera_lane.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_lane.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera_lane.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 16\n (_x.camera_lane.messageID, _x.camera_lane.localStamp.header.seq, _x.camera_lane.localStamp.header.stamp.secs, _x.camera_lane.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_lane.localStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera_lane.localStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.camera_lane.localStamp.time, _x.camera_lane.localStamp.lat, _x.camera_lane.localStamp.lng, _x.camera_lane.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.camera_lane.localStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera_lane.localStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera_lane.localStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera_lane.localStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 12\n (_x.camera_lane.globalStamp.header.seq, _x.camera_lane.globalStamp.header.stamp.secs, _x.camera_lane.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_lane.globalStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera_lane.globalStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.camera_lane.globalStamp.time, _x.camera_lane.globalStamp.lat, _x.camera_lane.globalStamp.lng, _x.camera_lane.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.camera_lane.globalStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera_lane.globalStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera_lane.globalStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera_lane.globalStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 404\n (_x.camera_lane.l_numoflaneline, _x.camera_lane.l_lanelineid, _x.camera_lane.l_lanepositon, _x.camera_lane.l_lanecurvature, _x.camera_lane.l_lanecurvaturederivative, _x.camera_lane.l_lane_type, _x.camera_lane.l_heading_angle, _x.camera_lane.l_lane_mark_color, _x.camera_lane.l_laneQuality, _x.camera_lane.l_laneWidthMarking, _x.camera_lane.l_laneViewRangStart, _x.camera_lane.l_laneViewRangEnd, _x.camera_lane.l_laneCrossing, _x.camera_lane.l_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.l_lanePRED_OTHER_SIDE, _x.camera_lane.l_lanePRED_OVERRIDE, _x.camera_lane.l_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.l_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.l_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.l_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.l_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.l_lanePRED_SOURCE_STD, _x.camera_lane.l_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.l_laneTCL, _x.camera_lane.r_numoflaneline, _x.camera_lane.r_lanelineid, _x.camera_lane.r_lanepositon, _x.camera_lane.r_lanecurvature, _x.camera_lane.r_lanecurvaturederivative, _x.camera_lane.r_lane_type, _x.camera_lane.r_heading_angle, _x.camera_lane.r_lane_mark_color, _x.camera_lane.r_laneQuality, _x.camera_lane.r_laneWidthMarking, _x.camera_lane.r_laneViewRangStart, _x.camera_lane.r_laneViewRangEnd, _x.camera_lane.r_laneCrossing, _x.camera_lane.r_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.r_lanePRED_OTHER_SIDE, _x.camera_lane.r_lanePRED_OVERRIDE, _x.camera_lane.r_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.r_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.r_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.r_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.r_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.r_lanePRED_SOURCE_STD, _x.camera_lane.r_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.r_laneTCL, _x.camera_lane.next_l_laneViewRangStart, _x.camera_lane.next_l_laneViewRangEnd, _x.camera_lane.next_l_numoflaneline, _x.camera_lane.next_l_lanelineid, _x.camera_lane.next_l_lanepositon, _x.camera_lane.next_l_lanecurvature, _x.camera_lane.next_l_lanecurvaturederivative, _x.camera_lane.next_l_lane_type, _x.camera_lane.next_l_heading_angle, _x.camera_lane.next_l_lane_mark_color, _x.camera_lane.next_l_laneQuality, _x.camera_lane.next_l_laneWidthMarking, _x.camera_lane.next_r_laneViewRangStart, _x.camera_lane.next_r_laneViewRangEnd, _x.camera_lane.next_r_numoflaneline, _x.camera_lane.next_r_lanelineid, _x.camera_lane.next_r_lanepositon, _x.camera_lane.next_r_lanecurvature, _x.camera_lane.next_r_lanecurvaturederivative, _x.camera_lane.next_r_lane_type, _x.camera_lane.next_r_heading_angle, _x.camera_lane.next_r_lane_mark_color, _x.camera_lane.next_r_laneQuality, _x.camera_lane.next_r_laneWidthMarking, _x.camera_lane.highwayConstructionArea, _x.camera_lane.highwayRoadType, _x.camera_lane.highwayHighwayExitRight, _x.camera_lane.highwayHighwayExitLeft, _x.camera_lane.highwayProbabilityLeftLane, _x.camera_lane.highwayProbabilityRightLane, _x.camera_lane.highwayDriving_peed_left_lane, _x.camera_lane.highwayDriving_peed_right_lane, _x.camera_lane.highwayprotocol_version,) = _get_struct_2i3did19i3did21i3did7i3did7i4di().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 32\n (_x.distance_front, _x.angle_front, _x.distance_back, _x.angle_back, _x.turn_left,) = _struct_didid.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.turn_left_sensor = str[start:end]\n start = end\n end += 8\n (self.turn_right,) = _struct_d.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.turn_right_sensor = str[start:end]\n return self\n except struct.error as e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg._Header.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 51\n (_x.temp_1_curr, _x.temp_1_min, _x.temp_1_max, _x.temp_2_curr, _x.temp_2_min, _x.temp_2_max, _x.temp_3_curr, _x.temp_3_min, _x.temp_3_max, _x.temp_4_curr, _x.temp_4_min, _x.temp_4_max, _x.temp_5_curr, _x.temp_5_min, _x.temp_5_max, _x.temp_6_curr, _x.temp_6_min, _x.temp_6_max, _x.akku_voltage_curr, _x.akku_voltage_min, _x.akku_voltage_max, _x.hals_motor_voltage_curr, _x.hals_motor_voltage_min, _x.hals_motor_voltage_max, _x.hals_logik_voltage_curr, _x.hals_logik_voltage_min, _x.hals_logik_voltage_max, _x.tablett_logik_voltage_curr, _x.tablett_logik_voltage_min, _x.tablett_logik_voltage_max, _x.arm_logik_voltage_curr, _x.arm_logik_voltage_min, _x.arm_logik_voltage_max, _x.tablett_motor_voltage_curr, _x.tablett_motor_voltage_min, _x.tablett_motor_voltage_max, _x.hals_motor_current_curr, _x.hals_motor_current_min, _x.hals_motor_current_max, _x.hals_logik_current_curr, _x.hals_logik_current_min, _x.hals_logik_current_max, _x.tablett_logik_current_curr, _x.tablett_logik_current_min, _x.tablett_logik_current_max, _x.arm_logik_current_curr, _x.arm_logik_current_min, _x.arm_logik_current_max, _x.tablett_motor_current_curr, _x.tablett_motor_current_min, _x.tablett_motor_current_max,) = _struct_51B.unpack(str[start:end])\n return self\n except struct.error, e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n if python3:\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.graspable_objects is None:\n self.graspable_objects = None\n if self.image is None:\n self.image = sensor_msgs.msg.Image()\n if self.camera_info is None:\n self.camera_info = sensor_msgs.msg.CameraInfo()\n if self.meshes is None:\n self.meshes = None\n if self.reference_to_camera is None:\n self.reference_to_camera = geometry_msgs.msg.Pose()\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.graspable_objects = []\n for i in range(0, length):\n val1 = manipulation_msgs.msg.GraspableObject()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.reference_frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1.reference_frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.potential_models = []\n for i in range(0, length):\n val2 = household_objects_database_msgs.msg.DatabaseModelPose()\n start = end\n end += 4\n (val2.model_id,) = _get_struct_i().unpack(str[start:end])\n _v94 = val2.type\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v94.key = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v94.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v94.db = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v94.db = str[start:end]\n _v95 = val2.pose\n _v96 = _v95.header\n start = end\n end += 4\n (_v96.seq,) = _get_struct_I().unpack(str[start:end])\n _v97 = _v96.stamp\n _x = _v97\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v96.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v96.frame_id = str[start:end]\n _v98 = _v95.pose\n _v99 = _v98.position\n _x = _v99\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v100 = _v98.orientation\n _x = _v100\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (val2.confidence,) = _get_struct_f().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.detector_name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val2.detector_name = str[start:end]\n val1.potential_models.append(val2)\n _v101 = val1.cluster\n _v102 = _v101.header\n start = end\n end += 4\n (_v102.seq,) = _get_struct_I().unpack(str[start:end])\n _v103 = _v102.stamp\n _x = _v103\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v102.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v102.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v101.points = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Point32()\n _x = val3\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _get_struct_3f().unpack(str[start:end])\n _v101.points.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v101.channels = []\n for i in range(0, length):\n val3 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val3.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n val3.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n _v101.channels.append(val3)\n _v104 = val1.region\n _v105 = _v104.cloud\n _v106 = _v105.header\n start = end\n end += 4\n (_v106.seq,) = _get_struct_I().unpack(str[start:end])\n _v107 = _v106.stamp\n _x = _v107\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v106.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v106.frame_id = str[start:end]\n _x = _v105\n start = end\n end += 8\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v105.fields = []\n for i in range(0, length):\n val4 = sensor_msgs.msg.PointField()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val4.name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val4.name = str[start:end]\n _x = val4\n start = end\n end += 9\n (_x.offset, _x.datatype, _x.count,) = _get_struct_IBI().unpack(str[start:end])\n _v105.fields.append(val4)\n _x = _v105\n start = end\n end += 9\n (_x.is_bigendian, _x.point_step, _x.row_step,) = _get_struct_B2I().unpack(str[start:end])\n _v105.is_bigendian = bool(_v105.is_bigendian)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v105.data = str[start:end]\n start = end\n end += 1\n (_v105.is_dense,) = _get_struct_B().unpack(str[start:end])\n _v105.is_dense = bool(_v105.is_dense)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n _v104.mask = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n _v108 = _v104.image\n _v109 = _v108.header\n start = end\n end += 4\n (_v109.seq,) = _get_struct_I().unpack(str[start:end])\n _v110 = _v109.stamp\n _x = _v110\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v109.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v109.frame_id = str[start:end]\n _x = _v108\n start = end\n end += 8\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v108.encoding = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v108.encoding = str[start:end]\n _x = _v108\n start = end\n end += 5\n (_x.is_bigendian, _x.step,) = _get_struct_BI().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v108.data = str[start:end]\n _v111 = _v104.disparity_image\n _v112 = _v111.header\n start = end\n end += 4\n (_v112.seq,) = _get_struct_I().unpack(str[start:end])\n _v113 = _v112.stamp\n _x = _v113\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v112.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v112.frame_id = str[start:end]\n _x = _v111\n start = end\n end += 8\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v111.encoding = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v111.encoding = str[start:end]\n _x = _v111\n start = end\n end += 5\n (_x.is_bigendian, _x.step,) = _get_struct_BI().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v111.data = str[start:end]\n _v114 = _v104.cam_info\n _v115 = _v114.header\n start = end\n end += 4\n (_v115.seq,) = _get_struct_I().unpack(str[start:end])\n _v116 = _v115.stamp\n _x = _v116\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v115.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v115.frame_id = str[start:end]\n _x = _v114\n start = end\n end += 8\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v114.distortion_model = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v114.distortion_model = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n _v114.D = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 72\n _v114.K = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\n start = end\n end += 72\n _v114.R = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\n start = end\n end += 96\n _v114.P = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=12)\n _x = _v114\n start = end\n end += 8\n (_x.binning_x, _x.binning_y,) = _get_struct_2I().unpack(str[start:end])\n _v117 = _v114.roi\n _x = _v117\n start = end\n end += 17\n (_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify,) = _get_struct_4IB().unpack(str[start:end])\n _v117.do_rectify = bool(_v117.do_rectify)\n _v118 = _v104.roi_box_pose\n _v119 = _v118.header\n start = end\n end += 4\n (_v119.seq,) = _get_struct_I().unpack(str[start:end])\n _v120 = _v119.stamp\n _x = _v120\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v119.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v119.frame_id = str[start:end]\n _v121 = _v118.pose\n _v122 = _v121.position\n _x = _v122\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v123 = _v121.orientation\n _x = _v123\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v124 = _v104.roi_box_dims\n _x = _v124\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.collision_name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1.collision_name = str[start:end]\n self.graspable_objects.append(val1)\n _x = self\n start = end\n end += 12\n (_x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.image.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.image.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.image.height, _x.image.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.image.encoding = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.image.encoding = str[start:end]\n _x = self\n start = end\n end += 5\n (_x.image.is_bigendian, _x.image.step,) = _get_struct_BI().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.image.data = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.camera_info.header.seq, _x.camera_info.header.stamp.secs, _x.camera_info.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_info.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.camera_info.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.camera_info.height, _x.camera_info.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_info.distortion_model = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.camera_info.distortion_model = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.camera_info.D = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 72\n self.camera_info.K = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\n start = end\n end += 72\n self.camera_info.R = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\n start = end\n end += 96\n self.camera_info.P = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=12)\n _x = self\n start = end\n end += 25\n (_x.camera_info.binning_x, _x.camera_info.binning_y, _x.camera_info.roi.x_offset, _x.camera_info.roi.y_offset, _x.camera_info.roi.height, _x.camera_info.roi.width, _x.camera_info.roi.do_rectify,) = _get_struct_6IB().unpack(str[start:end])\n self.camera_info.roi.do_rectify = bool(self.camera_info.roi.do_rectify)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.meshes = []\n for i in range(0, length):\n val1 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.triangles = []\n for i in range(0, length):\n val2 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val2.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val1.triangles.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.vertices = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Point()\n _x = val2\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val1.vertices.append(val2)\n self.meshes.append(val1)\n _x = self\n start = end\n end += 56\n (_x.reference_to_camera.position.x, _x.reference_to_camera.position.y, _x.reference_to_camera.position.z, _x.reference_to_camera.orientation.x, _x.reference_to_camera.orientation.y, _x.reference_to_camera.orientation.z, _x.reference_to_camera.orientation.w,) = _get_struct_7d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.Class = str[start:end].decode('utf-8')\n else:\n self.Class = str[start:end]\n _x = self\n start = end\n end += 40\n (_x.probability, _x.xmin, _x.ymin, _x.xmax, _x.ymax,) = _get_struct_d4q().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.p1 is None:\n self.p1 = geometry_msgs.msg.PointStamped()\n if self.p2 is None:\n self.p2 = geometry_msgs.msg.PointStamped()\n if self.p3 is None:\n self.p3 = geometry_msgs.msg.PointStamped()\n if self.p4 is None:\n self.p4 = geometry_msgs.msg.PointStamped()\n end = 0\n _x = self\n start = end\n end += 16\n (_x.s1, _x.s2, _x.s3, _x.s4, _x.p1.header.seq, _x.p1.header.stamp.secs, _x.p1.header.stamp.nsecs,) = _struct_4B3I.unpack(str[start:end])\n self.s1 = bool(self.s1)\n self.s2 = bool(self.s2)\n self.s3 = bool(self.s3)\n self.s4 = bool(self.s4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.p1.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.p1.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 36\n (_x.p1.point.x, _x.p1.point.y, _x.p1.point.z, _x.p2.header.seq, _x.p2.header.stamp.secs, _x.p2.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.p2.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.p2.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 36\n (_x.p2.point.x, _x.p2.point.y, _x.p2.point.z, _x.p3.header.seq, _x.p3.header.stamp.secs, _x.p3.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.p3.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.p3.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 36\n (_x.p3.point.x, _x.p3.point.y, _x.p3.point.z, _x.p4.header.seq, _x.p4.header.stamp.secs, _x.p4.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.p4.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.p4.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 24\n (_x.p4.point.x, _x.p4.point.y, _x.p4.point.z,) = _struct_3d.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 69\n (_x.Timestamp_sec, _x.Timestamp_nsec, _x.IdModulo, _x.InputVolA, _x.InputVolB, _x.InputCorrA, _x.InputCorrB, _x.OutputAnlg1, _x.OutputAnlg2, _x.InputDig1, _x.InputDig2, _x.InputDig3, _x.InputDig4, _x.OutputDig1, _x.OutputDig2, _x.OutputDig3, _x.OutputDig4, _x.OutputDig5, _x.OutputDig6, _x.OutputDig7, _x.OutputDig8,) = _get_struct_2ib6d12B().unpack(str[start:end])\n self.InputDig1 = bool(self.InputDig1)\n self.InputDig2 = bool(self.InputDig2)\n self.InputDig3 = bool(self.InputDig3)\n self.InputDig4 = bool(self.InputDig4)\n self.OutputDig1 = bool(self.OutputDig1)\n self.OutputDig2 = bool(self.OutputDig2)\n self.OutputDig3 = bool(self.OutputDig3)\n self.OutputDig4 = bool(self.OutputDig4)\n self.OutputDig5 = bool(self.OutputDig5)\n self.OutputDig6 = bool(self.OutputDig6)\n self.OutputDig7 = bool(self.OutputDig7)\n self.OutputDig8 = bool(self.OutputDig8)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 40\n (_x.h_min, _x.h_max, _x.s_min, _x.s_max, _x.v_min, _x.v_max,) = _get_struct_2I4d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.pan is None:\n self.pan = movo_msgs.msg.PanTiltActuatorFdbk()\n if self.tilt is None:\n self.tilt = movo_msgs.msg.PanTiltActuatorFdbk()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.pan.header.seq, _x.pan.header.stamp.secs, _x.pan.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.pan.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.pan.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 64\n (_x.pan.current, _x.pan.pos_rad, _x.pan.vel_rps, _x.pan.torque_nm, _x.pan.pwm, _x.pan.encoder_rad, _x.pan.accel.x, _x.pan.accel.y, _x.pan.accel.z, _x.pan.temperature_degC, _x.tilt.header.seq, _x.tilt.header.stamp.secs, _x.tilt.header.stamp.nsecs,) = _struct_6f3df3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.tilt.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.tilt.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 52\n (_x.tilt.current, _x.tilt.pos_rad, _x.tilt.vel_rps, _x.tilt.torque_nm, _x.tilt.pwm, _x.tilt.encoder_rad, _x.tilt.accel.x, _x.tilt.accel.y, _x.tilt.accel.z, _x.tilt.temperature_degC,) = _struct_6f3df.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.object1 = str[start:end].decode('utf-8')\n else:\n self.object1 = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.object2 = str[start:end].decode('utf-8')\n else:\n self.object2 = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.penetration_distance, _x.operation,) = _struct_di.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (self.numberOfTSPTurtles,) = _get_struct_i().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.des_gripper_pose is None:\n self.des_gripper_pose = geometry_msgs.msg.PoseStamped()\n if self.object_pose is None:\n self.object_pose = geometry_msgs.msg.PoseStamped()\n end = 0\n _x = self\n start = end\n end += 20\n (_x.manip_return_code, _x.object_grabber_return_code, _x.des_gripper_pose.header.seq, _x.des_gripper_pose.header.stamp.secs, _x.des_gripper_pose.header.stamp.nsecs,) = _get_struct_2i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.des_gripper_pose.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.des_gripper_pose.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 72\n (_x.des_gripper_pose.pose.position.x, _x.des_gripper_pose.pose.position.y, _x.des_gripper_pose.pose.position.z, _x.des_gripper_pose.pose.orientation.x, _x.des_gripper_pose.pose.orientation.y, _x.des_gripper_pose.pose.orientation.z, _x.des_gripper_pose.pose.orientation.w, _x.object_finder_return_code, _x.object_pose.header.seq, _x.object_pose.header.stamp.secs, _x.object_pose.header.stamp.nsecs,) = _get_struct_7di3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.object_pose.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.object_pose.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 56\n (_x.object_pose.pose.position.x, _x.object_pose.pose.position.y, _x.object_pose.pose.position.z, _x.object_pose.pose.orientation.x, _x.object_pose.pose.orientation.y, _x.object_pose.pose.orientation.z, _x.object_pose.pose.orientation.w,) = _get_struct_7d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.polygons is None:\n self.polygons = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.polygons = []\n for i in range(0, length):\n val1 = cob_3d_mapping_msgs.msg.CurvedPolygon()\n _v4 = val1.stamp\n _x = _v4\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (val1.ID,) = _struct_I.unpack(str[start:end])\n start = end\n end += 24\n val1.parameter = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=6)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.score = []\n for i in range(0, length):\n val2 = cob_3d_mapping_msgs.msg.SimilarityScore()\n _x = val2\n start = end\n end += 8\n (_x.ID, _x.prob,) = _struct_If.unpack(str[start:end])\n val1.score.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.polyline = []\n for i in range(0, length):\n val2 = cob_3d_mapping_msgs.msg.PolylinePoint()\n _x = val2\n start = end\n end += 12\n (_x.x, _x.y, _x.edge_prob,) = _struct_3f.unpack(str[start:end])\n val1.polyline.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.features = []\n for i in range(0, length):\n val2 = cob_3d_mapping_msgs.msg.Feature()\n _x = val2\n start = end\n end += 16\n (_x.x, _x.y, _x.z, _x.ID,) = _struct_3fI.unpack(str[start:end])\n val1.features.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.energy = str[start:end].decode('utf-8')\n else:\n val1.energy = str[start:end]\n start = end\n end += 4\n (val1.weight,) = _struct_f.unpack(str[start:end])\n self.polygons.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.goal_id is None:\n self.goal_id = actionlib_msgs.msg.GoalID()\n if self.goal is None:\n self.goal = coordinator.msg.ManipTaskGoal()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal_id.id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.goal_id.id = str[start:end]\n _x = self\n start = end\n end += 20\n (_x.goal.action_code, _x.goal.object_code, _x.goal.pickup_frame.header.seq, _x.goal.pickup_frame.header.stamp.secs, _x.goal.pickup_frame.header.stamp.nsecs,) = _get_struct_2i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.pickup_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.goal.pickup_frame.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.goal.pickup_frame.pose.position.x, _x.goal.pickup_frame.pose.position.y, _x.goal.pickup_frame.pose.position.z, _x.goal.pickup_frame.pose.orientation.x, _x.goal.pickup_frame.pose.orientation.y, _x.goal.pickup_frame.pose.orientation.z, _x.goal.pickup_frame.pose.orientation.w, _x.goal.dropoff_frame.header.seq, _x.goal.dropoff_frame.header.stamp.secs, _x.goal.dropoff_frame.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.dropoff_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.goal.dropoff_frame.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.goal.dropoff_frame.pose.position.x, _x.goal.dropoff_frame.pose.position.y, _x.goal.dropoff_frame.pose.position.z, _x.goal.dropoff_frame.pose.orientation.x, _x.goal.dropoff_frame.pose.orientation.y, _x.goal.dropoff_frame.pose.orientation.z, _x.goal.dropoff_frame.pose.orientation.w, _x.goal.gripper_goal_frame.header.seq, _x.goal.gripper_goal_frame.header.stamp.secs, _x.goal.gripper_goal_frame.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.gripper_goal_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.goal.gripper_goal_frame.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 60\n (_x.goal.gripper_goal_frame.pose.position.x, _x.goal.gripper_goal_frame.pose.position.y, _x.goal.gripper_goal_frame.pose.position.z, _x.goal.gripper_goal_frame.pose.orientation.x, _x.goal.gripper_goal_frame.pose.orientation.y, _x.goal.gripper_goal_frame.pose.orientation.z, _x.goal.gripper_goal_frame.pose.orientation.w, _x.goal.perception_source,) = _get_struct_7di().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.name = str[start:end].decode('utf-8')\n else:\n self.name = str[start:end]\n _x = self\n start = end\n end += 97\n (_x.visible, _x.x, _x.y, _x.z, _x.u, _x.v, _x.w, _x.phi, _x.theta, _x.psi, _x.p, _x.q, _x.r,) = _struct_B12d.unpack(str[start:end])\n self.visible = bool(self.visible)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.robot_id is None:\n self.robot_id = opil_v2.msg.Id()\n if self.agv_msg is None:\n self.agv_msg = opil_v2.msg.RobotDescriptionAGV()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.robot_id.id,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.robot_id.description = str[start:end].decode('utf-8')\n else:\n self.robot_id.description = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.agv_msg.header.seq, _x.agv_msg.header.stamp.secs, _x.agv_msg.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.agv_msg.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.agv_msg.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.agv_msg.vehicle_id.id,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.agv_msg.vehicle_id.description = str[start:end].decode('utf-8')\n else:\n self.agv_msg.vehicle_id.description = str[start:end]\n _x = self\n start = end\n end += 84\n (_x.agv_msg.left_size, _x.agv_msg.right_size, _x.agv_msg.front_size, _x.agv_msg.rear_size, _x.agv_msg.min_height, _x.agv_msg.max_height, _x.agv_msg.payload, _x.agv_msg.max_pos_x_vel, _x.agv_msg.max_neg_x_vel, _x.agv_msg.max_pos_x_acc, _x.agv_msg.max_neg_x_acc, _x.agv_msg.max_pos_y_vel, _x.agv_msg.max_neg_y_vel, _x.agv_msg.max_pos_y_acc, _x.agv_msg.max_neg_y_acc, _x.agv_msg.max_pos_ang_vel, _x.agv_msg.max_neg_ang_vel, _x.agv_msg.velocity_control_sensitivity, _x.agv_msg.min_turning_radius, _x.agv_msg.batt_capacity, _x.agv_msg.batt_max_voltage,) = _get_struct_21f().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.agv_msg.vehicle_type = str[start:end].decode('utf-8')\n else:\n self.agv_msg.vehicle_type = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.agv_msg.vendor = str[start:end].decode('utf-8')\n else:\n self.agv_msg.vendor = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.agv_msg.action_capability = []\n for i in range(0, length):\n val1 = opil_v2.msg.RobotAction()\n _x = val1\n start = end\n end += 2\n (_x.category, _x.action,) = _get_struct_2B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.attributes = []\n for i in range(0, length):\n val2 = opil_v2.msg.Tuple()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.type = str[start:end].decode('utf-8')\n else:\n val2.type = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.value = str[start:end].decode('utf-8')\n else:\n val2.value = str[start:end]\n val1.attributes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.description = str[start:end].decode('utf-8')\n else:\n val1.description = str[start:end]\n self.agv_msg.action_capability.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 11\n (_x.partial_view, _x.resolution, _x.type, _x.use_simple_occlusion, _x.add_point_colors,) = _struct_B2i2B.unpack(str[start:end])\n self.partial_view = bool(self.partial_view)\n self.use_simple_occlusion = bool(self.use_simple_occlusion)\n self.add_point_colors = bool(self.add_point_colors)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 44\n (_x.date, _x.time, _x.longitude_RTK, _x.latitude_RTK, _x.height_above_sea_RTK, _x.velocity_north, _x.velocity_east, _x.velocity_ground, _x.yaw, _x.position_flag, _x.yaw_flag,) = _struct_2I2d4fh2B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.t_start is None:\n self.t_start = genpy.Time()\n if self.duration is None:\n self.duration = genpy.Duration()\n end = 0\n _x = self\n start = end\n end += 65\n (_x.x, _x.y, _x.z, _x.yaw, _x.v_des, _x.a_des, _x.t_start.secs, _x.t_start.nsecs, _x.duration.secs, _x.duration.nsecs, _x.relative,) = _get_struct_6d2I2iB().unpack(str[start:end])\n self.relative = bool(self.relative)\n self.t_start.canon()\n self.duration.canon()\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 24\n self.thumb = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.index = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.middle = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.ring = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.little = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 64\n (_x.max_features, _x.window_size, _x.quality, _x.min_distance, _x.harris, _x.size_block, _x.pyramid_lvl, _x.mask_border,) = _get_struct_2q3d3q().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.accelerometer is None:\n self.accelerometer = None\n if self.gyro is None:\n self.gyro = None\n if self.orientation is None:\n self.orientation = None\n if self.led_color is None:\n self.led_color = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.name.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.position_command = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.velocity_command = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.effort_command = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.accelerometer = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Vector3()\n _x = val1\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.accelerometer.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.gyro = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Vector3()\n _x = val1\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.gyro.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.orientation = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Quaternion()\n _x = val1\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n self.orientation.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.deflection = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.deflection_velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_current = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_winding_current = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_sensor_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_winding_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_housing_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.board_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.processor_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.voltage = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.led_color = []\n for i in range(0, length):\n val1 = std_msgs.msg.ColorRGBA()\n _x = val1\n start = end\n end += 16\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\n self.led_color.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.sequence_number = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.receive_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.transmit_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.hardware_receive_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.hardware_transmit_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 8\n (self.time,) = _get_struct_d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.q_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.qd_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.qdd_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.i_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.m_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.q_actual = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.qd_actual = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.i_actual = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tool_acc_values = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tcp_force = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tool_vector = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tcp_speed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 8\n (self.digital_input_bits,) = _get_struct_d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_temperatures = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 24\n (_x.controller_timer, _x.test_value, _x.robot_mode,) = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.joint_modes = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.name = str[start:end].decode('utf-8')\n else:\n self.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.red_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.red_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.yellow_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.yellow_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.green_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.green_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.purple_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.purple_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.orange_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.orange_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.sensor_FL is None:\n self.sensor_FL = sensor_msgs.msg.Range()\n if self.sensor_FR is None:\n self.sensor_FR = sensor_msgs.msg.Range()\n if self.sensor_RR is None:\n self.sensor_RR = sensor_msgs.msg.Range()\n if self.sensor_RL is None:\n self.sensor_RL = sensor_msgs.msg.Range()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.sensor_FL.header.seq, _x.sensor_FL.header.stamp.secs, _x.sensor_FL.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.sensor_FL.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.sensor_FL.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 29\n (_x.sensor_FL.radiation_type, _x.sensor_FL.field_of_view, _x.sensor_FL.min_range, _x.sensor_FL.max_range, _x.sensor_FL.range, _x.sensor_FR.header.seq, _x.sensor_FR.header.stamp.secs, _x.sensor_FR.header.stamp.nsecs,) = _get_struct_B4f3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.sensor_FR.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.sensor_FR.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 29\n (_x.sensor_FR.radiation_type, _x.sensor_FR.field_of_view, _x.sensor_FR.min_range, _x.sensor_FR.max_range, _x.sensor_FR.range, _x.sensor_RR.header.seq, _x.sensor_RR.header.stamp.secs, _x.sensor_RR.header.stamp.nsecs,) = _get_struct_B4f3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.sensor_RR.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.sensor_RR.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 29\n (_x.sensor_RR.radiation_type, _x.sensor_RR.field_of_view, _x.sensor_RR.min_range, _x.sensor_RR.max_range, _x.sensor_RR.range, _x.sensor_RL.header.seq, _x.sensor_RL.header.stamp.secs, _x.sensor_RL.header.stamp.nsecs,) = _get_struct_B4f3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.sensor_RL.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.sensor_RL.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 17\n (_x.sensor_RL.radiation_type, _x.sensor_RL.field_of_view, _x.sensor_RL.min_range, _x.sensor_RL.max_range, _x.sensor_RL.range,) = _get_struct_B4f().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.line is None:\n self.line = None\n if self.circle is None:\n self.circle = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.id = str[start:end].decode('utf-8')\n else:\n self.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.line = []\n for i in range(0, length):\n val1 = krssg_ssl_msgs.msg.sslDebug_Line()\n _x = val1\n start = end\n end += 20\n (_x.x1, _x.y1, _x.x2, _x.y2, _x.color,) = _get_struct_4if().unpack(str[start:end])\n self.line.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.circle = []\n for i in range(0, length):\n val1 = krssg_ssl_msgs.msg.sslDebug_Circle()\n _x = val1\n start = end\n end += 16\n (_x.x, _x.y, _x.radius, _x.color,) = _get_struct_3if().unpack(str[start:end])\n self.circle.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (self.yaw,) = _struct_f.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.objects is None:\n self.objects = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.objects = []\n for i in range(0, length):\n val1 = vision_msgs.msg.ClassifiedObject()\n _v10 = val1.header\n start = end\n end += 4\n (_v10.seq,) = _struct_I.unpack(str[start:end])\n _v11 = _v10.stamp\n _x = _v11\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v10.frame_id = str[start:end].decode('utf-8')\n else:\n _v10.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.object_class = str[start:end].decode('utf-8')\n else:\n val1.object_class = str[start:end]\n start = end\n end += 4\n (val1.confidence,) = _struct_f.unpack(str[start:end])\n _v12 = val1.roi\n _x = _v12\n start = end\n end += 17\n (_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify,) = _struct_4IB.unpack(str[start:end])\n _v12.do_rectify = bool(_v12.do_rectify)\n self.objects.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 24\n (_x.major_ax, _x.minor_ax, _x.coup_strength, _x.limit_cycle, _x.forward_velocity, _x.curvature,) = _struct_6f.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.x_offset = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.y_offset = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.coupling_1 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.coupling_2 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.coupling_3 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.coupling_4 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.coupling_5 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.coupling_6 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.obstacleinfo is None:\n self.obstacleinfo = nubot_common.msg.ObstaclesInfo()\n if self.oppinfo is None:\n self.oppinfo = nubot_common.msg.ObstaclesInfo()\n if self.robotinfo is None:\n self.robotinfo = None\n if self.ballinfo is None:\n self.ballinfo = None\n if self.coachinfo is None:\n self.coachinfo = nubot_common.msg.CoachInfo()\n if self.pass_cmd is None:\n self.pass_cmd = nubot_common.msg.PassCommands()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.obstacleinfo.header.seq, _x.obstacleinfo.header.stamp.secs, _x.obstacleinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.obstacleinfo.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.obstacleinfo.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.obstacleinfo.pos = []\n for i in range(0, length):\n val1 = nubot_common.msg.Point2d()\n _x = val1\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n self.obstacleinfo.pos.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.obstacleinfo.polar_pos = []\n for i in range(0, length):\n val1 = nubot_common.msg.PPoint()\n _x = val1\n start = end\n end += 8\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\n self.obstacleinfo.polar_pos.append(val1)\n _x = self\n start = end\n end += 12\n (_x.oppinfo.header.seq, _x.oppinfo.header.stamp.secs, _x.oppinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.oppinfo.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.oppinfo.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.oppinfo.pos = []\n for i in range(0, length):\n val1 = nubot_common.msg.Point2d()\n _x = val1\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n self.oppinfo.pos.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.oppinfo.polar_pos = []\n for i in range(0, length):\n val1 = nubot_common.msg.PPoint()\n _x = val1\n start = end\n end += 8\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\n self.oppinfo.polar_pos.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.robotinfo = []\n for i in range(0, length):\n val1 = nubot_common.msg.RobotInfo()\n _v34 = val1.header\n start = end\n end += 4\n (_v34.seq,) = _get_struct_I().unpack(str[start:end])\n _v35 = _v34.stamp\n _x = _v35\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v34.frame_id = str[start:end].decode('utf-8')\n else:\n _v34.frame_id = str[start:end]\n _x = val1\n start = end\n end += 28\n (_x.AgentID, _x.targetNum1, _x.targetNum2, _x.targetNum3, _x.targetNum4, _x.staticpassNum, _x.staticcatchNum,) = _get_struct_7i().unpack(str[start:end])\n _v36 = val1.pos\n _x = _v36\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n _v37 = val1.heading\n start = end\n end += 4\n (_v37.theta,) = _get_struct_f().unpack(str[start:end])\n start = end\n end += 4\n (val1.vrot,) = _get_struct_f().unpack(str[start:end])\n _v38 = val1.vtrans\n _x = _v38\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n _x = val1\n start = end\n end += 9\n (_x.iskick, _x.isvalid, _x.isstuck, _x.isdribble, _x.current_role, _x.role_time,) = _get_struct_5Bf().unpack(str[start:end])\n val1.iskick = bool(val1.iskick)\n val1.isvalid = bool(val1.isvalid)\n val1.isstuck = bool(val1.isstuck)\n val1.isdribble = bool(val1.isdribble)\n _v39 = val1.target\n _x = _v39\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n self.robotinfo.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.ballinfo = []\n for i in range(0, length):\n val1 = nubot_common.msg.BallInfo()\n _v40 = val1.header\n start = end\n end += 4\n (_v40.seq,) = _get_struct_I().unpack(str[start:end])\n _v41 = _v40.stamp\n _x = _v41\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v40.frame_id = str[start:end].decode('utf-8')\n else:\n _v40.frame_id = str[start:end]\n start = end\n end += 4\n (val1.ballinfostate,) = _get_struct_i().unpack(str[start:end])\n _v42 = val1.pos\n _x = _v42\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n _v43 = val1.real_pos\n _x = _v43\n start = end\n end += 8\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\n _v44 = val1.velocity\n _x = _v44\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n _x = val1\n start = end\n end += 2\n (_x.pos_known, _x.velocity_known,) = _get_struct_2B().unpack(str[start:end])\n val1.pos_known = bool(val1.pos_known)\n val1.velocity_known = bool(val1.velocity_known)\n self.ballinfo.append(val1)\n _x = self\n start = end\n end += 12\n (_x.coachinfo.header.seq, _x.coachinfo.header.stamp.secs, _x.coachinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.coachinfo.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.coachinfo.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 54\n (_x.coachinfo.MatchMode, _x.coachinfo.MatchType, _x.coachinfo.TestMode, _x.coachinfo.pointA.x, _x.coachinfo.pointA.y, _x.coachinfo.pointB.x, _x.coachinfo.pointB.y, _x.coachinfo.angleA, _x.coachinfo.angleB, _x.coachinfo.idA, _x.coachinfo.idB, _x.coachinfo.kickforce, _x.pass_cmd.pass_id, _x.pass_cmd.catch_id, _x.pass_cmd.pass_pt.x, _x.pass_cmd.pass_pt.y, _x.pass_cmd.catch_pt.x, _x.pass_cmd.catch_pt.y, _x.pass_cmd.is_passout, _x.pass_cmd.is_dynamic_pass, _x.pass_cmd.is_static_pass, _x.pass_cmd.is_valid,) = _get_struct_3B4f2h3B2I4f4B().unpack(str[start:end])\n self.pass_cmd.is_passout = bool(self.pass_cmd.is_passout)\n self.pass_cmd.is_dynamic_pass = bool(self.pass_cmd.is_dynamic_pass)\n self.pass_cmd.is_static_pass = bool(self.pass_cmd.is_static_pass)\n self.pass_cmd.is_valid = bool(self.pass_cmd.is_valid)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.home is None:\n self.home = flyaq.msg.Coordinate()\n if self.movements is None:\n self.movements = None\n if self.move_transitions is None:\n self.move_transitions = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.name = str[start:end].decode('utf-8')\n else:\n self.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.type_name = str[start:end].decode('utf-8')\n else:\n self.type_name = str[start:end]\n _x = self\n start = end\n end += 16\n (_x.home.latitude, _x.home.longitude, _x.home.altitude, _x.home.heading,) = _struct_4f.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.movements = []\n for i in range(0, length):\n val1 = flyaq.msg.Move()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 1\n (val1.type,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.pre_actions = []\n for i in range(0, length):\n val2 = flyaq.msg.Action()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 1\n (val2.type,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.action_name = str[start:end].decode('utf-8')\n else:\n val2.action_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.parameters = []\n for i in range(0, length):\n val3 = flyaq.msg.Parameter()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.parameters.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.slot_name = str[start:end].decode('utf-8')\n else:\n val2.slot_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.receivers_name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.receivers_name.append(val3)\n val1.pre_actions.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.post_actions = []\n for i in range(0, length):\n val2 = flyaq.msg.Action()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 1\n (val2.type,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.action_name = str[start:end].decode('utf-8')\n else:\n val2.action_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.parameters = []\n for i in range(0, length):\n val3 = flyaq.msg.Parameter()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.parameters.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.slot_name = str[start:end].decode('utf-8')\n else:\n val2.slot_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.receivers_name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.receivers_name.append(val3)\n val1.post_actions.append(val2)\n start = end\n end += 4\n (val1.altitude,) = _struct_f.unpack(str[start:end])\n _v7 = val1.target_position\n _x = _v7\n start = end\n end += 16\n (_x.latitude, _x.longitude, _x.altitude, _x.heading,) = _struct_4f.unpack(str[start:end])\n start = end\n end += 1\n (val1.strategy,) = _struct_b.unpack(str[start:end])\n _v8 = val1.duration\n _x = _v8\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2i.unpack(str[start:end])\n _x = val1\n start = end\n end += 13\n (_x.radius, _x.circle_altitude, _x.clockwise, _x.direction,) = _struct_2fBf.unpack(str[start:end])\n val1.clockwise = bool(val1.clockwise)\n self.movements.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.move_transitions = []\n for i in range(0, length):\n val1 = flyaq.msg.MoveTransition()\n start = end\n end += 1\n (val1.is_choice,) = _struct_B.unpack(str[start:end])\n val1.is_choice = bool(val1.is_choice)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.wait_for_slot_name = str[start:end].decode('utf-8')\n else:\n val1.wait_for_slot_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.from_move_name = str[start:end].decode('utf-8')\n else:\n val1.from_move_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.to_move_name = str[start:end].decode('utf-8')\n else:\n val1.to_move_name = str[start:end]\n start = end\n end += 1\n (val1.fluid,) = _struct_B.unpack(str[start:end])\n val1.fluid = bool(val1.fluid)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.condition_identifier = str[start:end].decode('utf-8')\n else:\n val1.condition_identifier = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.false_branch_move_name = str[start:end].decode('utf-8')\n else:\n val1.false_branch_move_name = str[start:end]\n self.move_transitions.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.slot_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.slot_names.append(val1)\n start = end\n end += 1\n (self.travel_mode,) = _struct_b.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 2580\n self.Rscanpose = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=645)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 41\n (_x.enable_steering, _x.enable_braking, _x.enable_driving, _x.enable_Estop, _x.enable_gear, _x.sw_deg, _x.sw_rad, _x.speed_ms, _x.speed_kms, _x.ax_ms2, _x.omega_rad, _x.gear_mode, _x.steering, _x.speed,) = _get_struct_5B6fi2f().unpack(str[start:end])\n self.enable_steering = bool(self.enable_steering)\n self.enable_braking = bool(self.enable_braking)\n self.enable_driving = bool(self.enable_driving)\n self.enable_Estop = bool(self.enable_Estop)\n self.enable_gear = bool(self.enable_gear)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.sensor_pose_on_robot is None:\n self.sensor_pose_on_robot = geometry_msgs.msg.Pose()\n if self.sensed_data is None:\n self.sensed_data = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 96\n (_x.sensor_pose_on_robot.position.x, _x.sensor_pose_on_robot.position.y, _x.sensor_pose_on_robot.position.z, _x.sensor_pose_on_robot.orientation.x, _x.sensor_pose_on_robot.orientation.y, _x.sensor_pose_on_robot.orientation.z, _x.sensor_pose_on_robot.orientation.w, _x.min_sensor_distance, _x.max_sensor_distance, _x.sensor_std_range, _x.sensor_std_yaw, _x.sensor_std_pitch,) = _get_struct_12d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.sensed_data = []\n for i in range(0, length):\n val1 = mrpt_msgs.msg.SingleRangeBearingObservation()\n _x = val1\n start = end\n end += 28\n (_x.range, _x.yaw, _x.pitch, _x.id,) = _get_struct_3di().unpack(str[start:end])\n self.sensed_data.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.Front_sens is None:\n self.Front_sens = motor_sc.msg.sens9ax()\n if self.Rear_sens is None:\n self.Rear_sens = motor_sc.msg.sens9ax()\n end = 0\n _x = self\n start = end\n end += 9\n (_x.Front_sens.ID, _x.Front_sens.timestamp,) = _get_struct_BQ().unpack(str[start:end])\n start = end\n end += 24\n self.Front_sens.compass = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.Front_sens.gyro = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.Front_sens.accel = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.Front_sens.fusionPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 32\n self.Front_sens.fusionQPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\n _x = self\n start = end\n end += 9\n (_x.Rear_sens.ID, _x.Rear_sens.timestamp,) = _get_struct_BQ().unpack(str[start:end])\n start = end\n end += 24\n self.Rear_sens.compass = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.Rear_sens.gyro = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.Rear_sens.accel = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.Rear_sens.fusionPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 32\n self.Rear_sens.fusionQPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.cnt is None:\n self.cnt = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.cnt = []\n for i in range(0, length):\n val1 = dgvmsg.msg.Encounter()\n _v10 = val1.header\n start = end\n end += 4\n (_v10.seq,) = _get_struct_I().unpack(str[start:end])\n _v11 = _v10.stamp\n _x = _v11\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v10.frame_id = str[start:end].decode('utf-8')\n else:\n _v10.frame_id = str[start:end]\n start = end\n end += 4\n (val1.devadd,) = _get_struct_i().unpack(str[start:end])\n _v12 = val1.now\n _x = _v12\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (val1.encounter,) = _get_struct_I().unpack(str[start:end])\n self.cnt.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.group = str[start:end].decode('utf-8')\n else:\n self.group = str[start:end]\n _x = self\n start = end\n end += 2\n (_x.rand_start, _x.current_start,) = _get_struct_2B().unpack(str[start:end])\n self.rand_start = bool(self.rand_start)\n self.current_start = bool(self.current_start)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.start_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n start = end\n end += 1\n (self.rand_target,) = _get_struct_B().unpack(str[start:end])\n self.rand_target = bool(self.rand_target)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.target_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n _x = self\n start = end\n end += 4\n (_x.execute, _x.wait, _x.ret_plan, _x.ret_fps,) = _get_struct_3Bb().unpack(str[start:end])\n self.execute = bool(self.execute)\n self.wait = bool(self.wait)\n self.ret_plan = bool(self.ret_plan)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.goal_id is None:\n self.goal_id = actionlib_msgs.msg.GoalID()\n if self.goal is None:\n self.goal = moveit_msgs.msg.MoveGroupGoal()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal_id.id = str[start:end].decode('utf-8')\n else:\n self.goal_id.id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.goal.request.workspace_parameters.header.seq, _x.goal.request.workspace_parameters.header.stamp.secs, _x.goal.request.workspace_parameters.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.workspace_parameters.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.request.workspace_parameters.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 60\n (_x.goal.request.workspace_parameters.min_corner.x, _x.goal.request.workspace_parameters.min_corner.y, _x.goal.request.workspace_parameters.min_corner.z, _x.goal.request.workspace_parameters.max_corner.x, _x.goal.request.workspace_parameters.max_corner.y, _x.goal.request.workspace_parameters.max_corner.z, _x.goal.request.start_state.joint_state.header.seq, _x.goal.request.start_state.joint_state.header.stamp.secs, _x.goal.request.start_state.joint_state.header.stamp.nsecs,) = _get_struct_6d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.start_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.request.start_state.joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.joint_state.name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.request.start_state.joint_state.name.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.request.start_state.joint_state.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.request.start_state.joint_state.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.request.start_state.joint_state.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 12\n (_x.goal.request.start_state.multi_dof_joint_state.header.seq, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.secs, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.start_state.multi_dof_joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.request.start_state.multi_dof_joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.request.start_state.multi_dof_joint_state.joint_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.transforms = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Transform()\n _v445 = val1.translation\n _x = _v445\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v446 = val1.rotation\n _x = _v446\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.transforms.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.twist = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Twist()\n _v447 = val1.linear\n _x = _v447\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v448 = val1.angular\n _x = _v448\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.twist.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.wrench = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Wrench()\n _v449 = val1.force\n _x = _v449\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v450 = val1.torque\n _x = _v450\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.wrench.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.attached_collision_objects = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.AttachedCollisionObject()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _v451 = val1.object\n _v452 = _v451.header\n start = end\n end += 4\n (_v452.seq,) = _get_struct_I().unpack(str[start:end])\n _v453 = _v452.stamp\n _x = _v453\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v452.frame_id = str[start:end].decode('utf-8')\n else:\n _v452.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v451.id = str[start:end].decode('utf-8')\n else:\n _v451.id = str[start:end]\n _v454 = _v451.type\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v454.key = str[start:end].decode('utf-8')\n else:\n _v454.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v454.db = str[start:end].decode('utf-8')\n else:\n _v454.db = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.primitives = []\n for i in range(0, length):\n val3 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val3.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v451.primitives.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.primitive_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v455 = val3.position\n _x = _v455\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v456 = val3.orientation\n _x = _v456\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v451.primitive_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.meshes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.triangles = []\n for i in range(0, length):\n val4 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val4.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val3.triangles.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.vertices = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Point()\n _x = val4\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val3.vertices.append(val4)\n _v451.meshes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.mesh_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v457 = val3.position\n _x = _v457\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v458 = val3.orientation\n _x = _v458\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v451.mesh_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.planes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Plane()\n start = end\n end += 32\n val3.coef = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\n _v451.planes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.plane_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v459 = val3.position\n _x = _v459\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v460 = val3.orientation\n _x = _v460\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v451.plane_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.subframe_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n _v451.subframe_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.subframe_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v461 = val3.position\n _x = _v461\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v462 = val3.orientation\n _x = _v462\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v451.subframe_poses.append(val3)\n start = end\n end += 1\n (_v451.operation,) = _get_struct_b().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.touch_links = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.touch_links.append(val2)\n _v463 = val1.detach_posture\n _v464 = _v463.header\n start = end\n end += 4\n (_v464.seq,) = _get_struct_I().unpack(str[start:end])\n _v465 = _v464.stamp\n _x = _v465\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v464.frame_id = str[start:end].decode('utf-8')\n else:\n _v464.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v463.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n _v463.joint_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v463.points = []\n for i in range(0, length):\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.positions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.velocities = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.accelerations = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v466 = val3.time_from_start\n _x = _v466\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\n _v463.points.append(val3)\n start = end\n end += 8\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\n self.goal.request.start_state.attached_collision_objects.append(val1)\n start = end\n end += 1\n (self.goal.request.start_state.is_diff,) = _get_struct_B().unpack(str[start:end])\n self.goal.request.start_state.is_diff = bool(self.goal.request.start_state.is_diff)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.goal_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.Constraints()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.joint_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.JointConstraint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.joint_name = str[start:end].decode('utf-8')\n else:\n val2.joint_name = str[start:end]\n _x = val2\n start = end\n end += 32\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n val1.joint_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.position_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.PositionConstraint()\n _v467 = val2.header\n start = end\n end += 4\n (_v467.seq,) = _get_struct_I().unpack(str[start:end])\n _v468 = _v467.stamp\n _x = _v468\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v467.frame_id = str[start:end].decode('utf-8')\n else:\n _v467.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.link_name = str[start:end].decode('utf-8')\n else:\n val2.link_name = str[start:end]\n _v469 = val2.target_point_offset\n _x = _v469\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v470 = val2.constraint_region\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v470.primitives = []\n for i in range(0, length):\n val4 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val4.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val4.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v470.primitives.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v470.primitive_poses = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Pose()\n _v471 = val4.position\n _x = _v471\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v472 = val4.orientation\n _x = _v472\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v470.primitive_poses.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v470.meshes = []\n for i in range(0, length):\n val4 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val4.triangles = []\n for i in range(0, length):\n val5 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val5.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val4.triangles.append(val5)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val4.vertices = []\n for i in range(0, length):\n val5 = geometry_msgs.msg.Point()\n _x = val5\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val4.vertices.append(val5)\n _v470.meshes.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v470.mesh_poses = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Pose()\n _v473 = val4.position\n _x = _v473\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v474 = val4.orientation\n _x = _v474\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v470.mesh_poses.append(val4)\n start = end\n end += 8\n (val2.weight,) = _get_struct_d().unpack(str[start:end])\n val1.position_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.orientation_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.OrientationConstraint()\n _v475 = val2.header\n start = end\n end += 4\n (_v475.seq,) = _get_struct_I().unpack(str[start:end])\n _v476 = _v475.stamp\n _x = _v476\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v475.frame_id = str[start:end].decode('utf-8')\n else:\n _v475.frame_id = str[start:end]\n _v477 = val2.orientation\n _x = _v477\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.link_name = str[start:end].decode('utf-8')\n else:\n val2.link_name = str[start:end]\n _x = val2\n start = end\n end += 32\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n val1.orientation_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.visibility_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.VisibilityConstraint()\n start = end\n end += 8\n (val2.target_radius,) = _get_struct_d().unpack(str[start:end])\n _v478 = val2.target_pose\n _v479 = _v478.header\n start = end\n end += 4\n (_v479.seq,) = _get_struct_I().unpack(str[start:end])\n _v480 = _v479.stamp\n _x = _v480\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v479.frame_id = str[start:end].decode('utf-8')\n else:\n _v479.frame_id = str[start:end]\n _v481 = _v478.pose\n _v482 = _v481.position\n _x = _v482\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v483 = _v481.orientation\n _x = _v483\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (val2.cone_sides,) = _get_struct_i().unpack(str[start:end])\n _v484 = val2.sensor_pose\n _v485 = _v484.header\n start = end\n end += 4\n (_v485.seq,) = _get_struct_I().unpack(str[start:end])\n _v486 = _v485.stamp\n _x = _v486\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v485.frame_id = str[start:end].decode('utf-8')\n else:\n _v485.frame_id = str[start:end]\n _v487 = _v484.pose\n _v488 = _v487.position\n _x = _v488\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v489 = _v487.orientation\n _x = _v489\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _x = val2\n start = end\n end += 25\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\n val1.visibility_constraints.append(val2)\n self.goal.request.goal_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.path_constraints.name = str[start:end].decode('utf-8')\n else:\n self.goal.request.path_constraints.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.path_constraints.joint_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.JointConstraint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.joint_name = str[start:end].decode('utf-8')\n else:\n val1.joint_name = str[start:end]\n _x = val1\n start = end\n end += 32\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n self.goal.request.path_constraints.joint_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.path_constraints.position_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.PositionConstraint()\n _v490 = val1.header\n start = end\n end += 4\n (_v490.seq,) = _get_struct_I().unpack(str[start:end])\n _v491 = _v490.stamp\n _x = _v491\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v490.frame_id = str[start:end].decode('utf-8')\n else:\n _v490.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _v492 = val1.target_point_offset\n _x = _v492\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v493 = val1.constraint_region\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v493.primitives = []\n for i in range(0, length):\n val3 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val3.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v493.primitives.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v493.primitive_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v494 = val3.position\n _x = _v494\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v495 = val3.orientation\n _x = _v495\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v493.primitive_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v493.meshes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.triangles = []\n for i in range(0, length):\n val4 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val4.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val3.triangles.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.vertices = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Point()\n _x = val4\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val3.vertices.append(val4)\n _v493.meshes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v493.mesh_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v496 = val3.position\n _x = _v496\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v497 = val3.orientation\n _x = _v497\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v493.mesh_poses.append(val3)\n start = end\n end += 8\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\n self.goal.request.path_constraints.position_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.path_constraints.orientation_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.OrientationConstraint()\n _v498 = val1.header\n start = end\n end += 4\n (_v498.seq,) = _get_struct_I().unpack(str[start:end])\n _v499 = _v498.stamp\n _x = _v499\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v498.frame_id = str[start:end].decode('utf-8')\n else:\n _v498.frame_id = str[start:end]\n _v500 = val1.orientation\n _x = _v500\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _x = val1\n start = end\n end += 32\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n self.goal.request.path_constraints.orientation_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.path_constraints.visibility_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.VisibilityConstraint()\n start = end\n end += 8\n (val1.target_radius,) = _get_struct_d().unpack(str[start:end])\n _v501 = val1.target_pose\n _v502 = _v501.header\n start = end\n end += 4\n (_v502.seq,) = _get_struct_I().unpack(str[start:end])\n _v503 = _v502.stamp\n _x = _v503\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v502.frame_id = str[start:end].decode('utf-8')\n else:\n _v502.frame_id = str[start:end]\n _v504 = _v501.pose\n _v505 = _v504.position\n _x = _v505\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v506 = _v504.orientation\n _x = _v506\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (val1.cone_sides,) = _get_struct_i().unpack(str[start:end])\n _v507 = val1.sensor_pose\n _v508 = _v507.header\n start = end\n end += 4\n (_v508.seq,) = _get_struct_I().unpack(str[start:end])\n _v509 = _v508.stamp\n _x = _v509\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v508.frame_id = str[start:end].decode('utf-8')\n else:\n _v508.frame_id = str[start:end]\n _v510 = _v507.pose\n _v511 = _v510.position\n _x = _v511\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v512 = _v510.orientation\n _x = _v512\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _x = val1\n start = end\n end += 25\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\n self.goal.request.path_constraints.visibility_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.trajectory_constraints.constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.Constraints()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.joint_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.JointConstraint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.joint_name = str[start:end].decode('utf-8')\n else:\n val2.joint_name = str[start:end]\n _x = val2\n start = end\n end += 32\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n val1.joint_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.position_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.PositionConstraint()\n _v513 = val2.header\n start = end\n end += 4\n (_v513.seq,) = _get_struct_I().unpack(str[start:end])\n _v514 = _v513.stamp\n _x = _v514\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v513.frame_id = str[start:end].decode('utf-8')\n else:\n _v513.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.link_name = str[start:end].decode('utf-8')\n else:\n val2.link_name = str[start:end]\n _v515 = val2.target_point_offset\n _x = _v515\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v516 = val2.constraint_region\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v516.primitives = []\n for i in range(0, length):\n val4 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val4.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val4.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v516.primitives.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v516.primitive_poses = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Pose()\n _v517 = val4.position\n _x = _v517\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v518 = val4.orientation\n _x = _v518\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v516.primitive_poses.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v516.meshes = []\n for i in range(0, length):\n val4 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val4.triangles = []\n for i in range(0, length):\n val5 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val5.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val4.triangles.append(val5)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val4.vertices = []\n for i in range(0, length):\n val5 = geometry_msgs.msg.Point()\n _x = val5\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val4.vertices.append(val5)\n _v516.meshes.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v516.mesh_poses = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Pose()\n _v519 = val4.position\n _x = _v519\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v520 = val4.orientation\n _x = _v520\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v516.mesh_poses.append(val4)\n start = end\n end += 8\n (val2.weight,) = _get_struct_d().unpack(str[start:end])\n val1.position_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.orientation_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.OrientationConstraint()\n _v521 = val2.header\n start = end\n end += 4\n (_v521.seq,) = _get_struct_I().unpack(str[start:end])\n _v522 = _v521.stamp\n _x = _v522\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v521.frame_id = str[start:end].decode('utf-8')\n else:\n _v521.frame_id = str[start:end]\n _v523 = val2.orientation\n _x = _v523\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.link_name = str[start:end].decode('utf-8')\n else:\n val2.link_name = str[start:end]\n _x = val2\n start = end\n end += 32\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n val1.orientation_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.visibility_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.VisibilityConstraint()\n start = end\n end += 8\n (val2.target_radius,) = _get_struct_d().unpack(str[start:end])\n _v524 = val2.target_pose\n _v525 = _v524.header\n start = end\n end += 4\n (_v525.seq,) = _get_struct_I().unpack(str[start:end])\n _v526 = _v525.stamp\n _x = _v526\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v525.frame_id = str[start:end].decode('utf-8')\n else:\n _v525.frame_id = str[start:end]\n _v527 = _v524.pose\n _v528 = _v527.position\n _x = _v528\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v529 = _v527.orientation\n _x = _v529\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (val2.cone_sides,) = _get_struct_i().unpack(str[start:end])\n _v530 = val2.sensor_pose\n _v531 = _v530.header\n start = end\n end += 4\n (_v531.seq,) = _get_struct_I().unpack(str[start:end])\n _v532 = _v531.stamp\n _x = _v532\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v531.frame_id = str[start:end].decode('utf-8')\n else:\n _v531.frame_id = str[start:end]\n _v533 = _v530.pose\n _v534 = _v533.position\n _x = _v534\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v535 = _v533.orientation\n _x = _v535\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _x = val2\n start = end\n end += 25\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\n val1.visibility_constraints.append(val2)\n self.goal.request.trajectory_constraints.constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.reference_trajectories = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.GenericTrajectory()\n _v536 = val1.header\n start = end\n end += 4\n (_v536.seq,) = _get_struct_I().unpack(str[start:end])\n _v537 = _v536.stamp\n _x = _v537\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v536.frame_id = str[start:end].decode('utf-8')\n else:\n _v536.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.joint_trajectory = []\n for i in range(0, length):\n val2 = trajectory_msgs.msg.JointTrajectory()\n _v538 = val2.header\n start = end\n end += 4\n (_v538.seq,) = _get_struct_I().unpack(str[start:end])\n _v539 = _v538.stamp\n _x = _v539\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v538.frame_id = str[start:end].decode('utf-8')\n else:\n _v538.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.joint_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.points = []\n for i in range(0, length):\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.positions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.velocities = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.accelerations = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v540 = val3.time_from_start\n _x = _v540\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\n val2.points.append(val3)\n val1.joint_trajectory.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.cartesian_trajectory = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.CartesianTrajectory()\n _v541 = val2.header\n start = end\n end += 4\n (_v541.seq,) = _get_struct_I().unpack(str[start:end])\n _v542 = _v541.stamp\n _x = _v542\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v541.frame_id = str[start:end].decode('utf-8')\n else:\n _v541.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.tracked_frame = str[start:end].decode('utf-8')\n else:\n val2.tracked_frame = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.points = []\n for i in range(0, length):\n val3 = moveit_msgs.msg.CartesianTrajectoryPoint()\n _v543 = val3.point\n _v544 = _v543.pose\n _v545 = _v544.position\n _x = _v545\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v546 = _v544.orientation\n _x = _v546\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v547 = _v543.velocity\n _v548 = _v547.linear\n _x = _v548\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v549 = _v547.angular\n _x = _v549\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v550 = _v543.acceleration\n _v551 = _v550.linear\n _x = _v551\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v552 = _v550.angular\n _x = _v552\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v553 = val3.time_from_start\n _x = _v553\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\n val2.points.append(val3)\n val1.cartesian_trajectory.append(val2)\n self.goal.request.reference_trajectories.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.planner_id = str[start:end].decode('utf-8')\n else:\n self.goal.request.planner_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.group_name = str[start:end].decode('utf-8')\n else:\n self.goal.request.group_name = str[start:end]\n _x = self\n start = end\n end += 28\n (_x.goal.request.num_planning_attempts, _x.goal.request.allowed_planning_time, _x.goal.request.max_velocity_scaling_factor, _x.goal.request.max_acceleration_scaling_factor,) = _get_struct_i3d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.name = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.name = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 12\n (_x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Transform()\n _v554 = val1.translation\n _x = _v554\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v555 = val1.rotation\n _x = _v555\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Twist()\n _v556 = val1.linear\n _x = _v556\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v557 = val1.angular\n _x = _v557\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Wrench()\n _v558 = val1.force\n _x = _v558\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v559 = val1.torque\n _x = _v559\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.AttachedCollisionObject()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _v560 = val1.object\n _v561 = _v560.header\n start = end\n end += 4\n (_v561.seq,) = _get_struct_I().unpack(str[start:end])\n _v562 = _v561.stamp\n _x = _v562\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v561.frame_id = str[start:end].decode('utf-8')\n else:\n _v561.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v560.id = str[start:end].decode('utf-8')\n else:\n _v560.id = str[start:end]\n _v563 = _v560.type\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v563.key = str[start:end].decode('utf-8')\n else:\n _v563.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v563.db = str[start:end].decode('utf-8')\n else:\n _v563.db = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.primitives = []\n for i in range(0, length):\n val3 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val3.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v560.primitives.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.primitive_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v564 = val3.position\n _x = _v564\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v565 = val3.orientation\n _x = _v565\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v560.primitive_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.meshes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.triangles = []\n for i in range(0, length):\n val4 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val4.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val3.triangles.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.vertices = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Point()\n _x = val4\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val3.vertices.append(val4)\n _v560.meshes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.mesh_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v566 = val3.position\n _x = _v566\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v567 = val3.orientation\n _x = _v567\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v560.mesh_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.planes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Plane()\n start = end\n end += 32\n val3.coef = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\n _v560.planes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.plane_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v568 = val3.position\n _x = _v568\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v569 = val3.orientation\n _x = _v569\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v560.plane_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.subframe_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n _v560.subframe_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.subframe_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v570 = val3.position\n _x = _v570\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v571 = val3.orientation\n _x = _v571\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v560.subframe_poses.append(val3)\n start = end\n end += 1\n (_v560.operation,) = _get_struct_b().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.touch_links = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.touch_links.append(val2)\n _v572 = val1.detach_posture\n _v573 = _v572.header\n start = end\n end += 4\n (_v573.seq,) = _get_struct_I().unpack(str[start:end])\n _v574 = _v573.stamp\n _x = _v574\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v573.frame_id = str[start:end].decode('utf-8')\n else:\n _v573.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v572.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n _v572.joint_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v572.points = []\n for i in range(0, length):\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.positions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.velocities = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.accelerations = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v575 = val3.time_from_start\n _x = _v575\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\n _v572.points.append(val3)\n start = end\n end += 8\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects.append(val1)\n start = end\n end += 1\n (self.goal.planning_options.planning_scene_diff.robot_state.is_diff,) = _get_struct_B().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.is_diff = bool(self.goal.planning_options.planning_scene_diff.robot_state.is_diff)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.robot_model_name = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.robot_model_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.fixed_frame_transforms = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.TransformStamped()\n _v576 = val1.header\n start = end\n end += 4\n (_v576.seq,) = _get_struct_I().unpack(str[start:end])\n _v577 = _v576.stamp\n _x = _v577\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v576.frame_id = str[start:end].decode('utf-8')\n else:\n _v576.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.child_frame_id = str[start:end].decode('utf-8')\n else:\n val1.child_frame_id = str[start:end]\n _v578 = val1.transform\n _v579 = _v578.translation\n _x = _v579\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v580 = _v578.rotation\n _x = _v580\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.fixed_frame_transforms.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.AllowedCollisionEntry()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sB'%length\n start = end\n end += struct.calcsize(pattern)\n val1.enabled = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\n val1.enabled = map(bool, val1.enabled)\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sB'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values = map(bool, self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.link_padding = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.LinkPadding()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n start = end\n end += 8\n (val1.padding,) = _get_struct_d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.link_padding.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.link_scale = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.LinkScale()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n start = end\n end += 8\n (val1.scale,) = _get_struct_d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.link_scale.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.object_colors = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.ObjectColor()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n _v581 = val1.color\n _x = _v581\n start = end\n end += 16\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.object_colors.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.world.collision_objects = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.CollisionObject()\n _v582 = val1.header\n start = end\n end += 4\n (_v582.seq,) = _get_struct_I().unpack(str[start:end])\n _v583 = _v582.stamp\n _x = _v583\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v582.frame_id = str[start:end].decode('utf-8')\n else:\n _v582.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n _v584 = val1.type\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v584.key = str[start:end].decode('utf-8')\n else:\n _v584.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v584.db = str[start:end].decode('utf-8')\n else:\n _v584.db = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.primitives = []\n for i in range(0, length):\n val2 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val2.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val2.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n val1.primitives.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.primitive_poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v585 = val2.position\n _x = _v585\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v586 = val2.orientation\n _x = _v586\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n val1.primitive_poses.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.meshes = []\n for i in range(0, length):\n val2 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.triangles = []\n for i in range(0, length):\n val3 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val3.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val2.triangles.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.vertices = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Point()\n _x = val3\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val2.vertices.append(val3)\n val1.meshes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.mesh_poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v587 = val2.position\n _x = _v587\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v588 = val2.orientation\n _x = _v588\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n val1.mesh_poses.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.planes = []\n for i in range(0, length):\n val2 = shape_msgs.msg.Plane()\n start = end\n end += 32\n val2.coef = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\n val1.planes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.plane_poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v589 = val2.position\n _x = _v589\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v590 = val2.orientation\n _x = _v590\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n val1.plane_poses.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.subframe_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.subframe_names.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.subframe_poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v591 = val2.position\n _x = _v591\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v592 = val2.orientation\n _x = _v592\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n val1.subframe_poses.append(val2)\n start = end\n end += 1\n (val1.operation,) = _get_struct_b().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.world.collision_objects.append(val1)\n _x = self\n start = end\n end += 12\n (_x.goal.planning_options.planning_scene_diff.world.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.w, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id = str[start:end]\n start = end\n end += 1\n (self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary,) = _get_struct_B().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary = bool(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id = str[start:end]\n start = end\n end += 8\n (self.goal.planning_options.planning_scene_diff.world.octomap.octomap.resolution,) = _get_struct_d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sb'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.data = numpy.frombuffer(str[start:end], dtype=numpy.int8, count=length)\n _x = self\n start = end\n end += 28\n (_x.goal.planning_options.planning_scene_diff.is_diff, _x.goal.planning_options.plan_only, _x.goal.planning_options.look_around, _x.goal.planning_options.look_around_attempts, _x.goal.planning_options.max_safe_execution_cost, _x.goal.planning_options.replan, _x.goal.planning_options.replan_attempts, _x.goal.planning_options.replan_delay,) = _get_struct_3BidBid().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.is_diff = bool(self.goal.planning_options.planning_scene_diff.is_diff)\n self.goal.planning_options.plan_only = bool(self.goal.planning_options.plan_only)\n self.goal.planning_options.look_around = bool(self.goal.planning_options.look_around)\n self.goal.planning_options.replan = bool(self.goal.planning_options.replan)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.pending is None:\n self.pending = None\n if self.available is None:\n self.available = None\n if self.missing is None:\n self.missing = None\n if self.gone is None:\n self.gone = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.pending = []\n for i in range(0, length):\n val1 = concert_msgs.msg.ConcertClient()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.gateway_name = str[start:end].decode('utf-8')\n else:\n val1.gateway_name = str[start:end]\n _v49 = val1.platform_info\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v49.name = str[start:end].decode('utf-8')\n else:\n _v49.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v49.rocon_uri = str[start:end].decode('utf-8')\n else:\n _v49.rocon_uri = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v49.description = str[start:end].decode('utf-8')\n else:\n _v49.description = str[start:end]\n _v50 = _v49.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v50.resource_name = str[start:end].decode('utf-8')\n else:\n _v50.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v50.format = str[start:end].decode('utf-8')\n else:\n _v50.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v50.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v49.version = str[start:end].decode('utf-8')\n else:\n _v49.version = str[start:end]\n start = end\n end += 1\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\n val1.is_local_client = bool(val1.is_local_client)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.state = str[start:end].decode('utf-8')\n else:\n val1.state = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.ip = str[start:end].decode('utf-8')\n else:\n val1.ip = str[start:end]\n _v51 = val1.conn_stats\n _x = _v51\n start = end\n end += 40\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\n _v51.gateway_available = bool(_v51.gateway_available)\n _v51.network_info_available = bool(_v51.network_info_available)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.rapps = []\n for i in range(0, length):\n val2 = rocon_app_manager_msgs.msg.Rapp()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.display_name = str[start:end].decode('utf-8')\n else:\n val2.display_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.description = str[start:end].decode('utf-8')\n else:\n val2.description = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.compatibility = str[start:end].decode('utf-8')\n else:\n val2.compatibility = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.status = str[start:end].decode('utf-8')\n else:\n val2.status = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.implementations = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.implementations.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.preferred = str[start:end].decode('utf-8')\n else:\n val2.preferred = str[start:end]\n _v52 = val2.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v52.resource_name = str[start:end].decode('utf-8')\n else:\n _v52.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v52.format = str[start:end].decode('utf-8')\n else:\n _v52.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v52.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_interface = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_interface.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_parameters = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_parameters.append(val3)\n val1.rapps.append(val2)\n self.pending.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.available = []\n for i in range(0, length):\n val1 = concert_msgs.msg.ConcertClient()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.gateway_name = str[start:end].decode('utf-8')\n else:\n val1.gateway_name = str[start:end]\n _v53 = val1.platform_info\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v53.name = str[start:end].decode('utf-8')\n else:\n _v53.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v53.rocon_uri = str[start:end].decode('utf-8')\n else:\n _v53.rocon_uri = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v53.description = str[start:end].decode('utf-8')\n else:\n _v53.description = str[start:end]\n _v54 = _v53.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v54.resource_name = str[start:end].decode('utf-8')\n else:\n _v54.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v54.format = str[start:end].decode('utf-8')\n else:\n _v54.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v54.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v53.version = str[start:end].decode('utf-8')\n else:\n _v53.version = str[start:end]\n start = end\n end += 1\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\n val1.is_local_client = bool(val1.is_local_client)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.state = str[start:end].decode('utf-8')\n else:\n val1.state = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.ip = str[start:end].decode('utf-8')\n else:\n val1.ip = str[start:end]\n _v55 = val1.conn_stats\n _x = _v55\n start = end\n end += 40\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\n _v55.gateway_available = bool(_v55.gateway_available)\n _v55.network_info_available = bool(_v55.network_info_available)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.rapps = []\n for i in range(0, length):\n val2 = rocon_app_manager_msgs.msg.Rapp()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.display_name = str[start:end].decode('utf-8')\n else:\n val2.display_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.description = str[start:end].decode('utf-8')\n else:\n val2.description = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.compatibility = str[start:end].decode('utf-8')\n else:\n val2.compatibility = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.status = str[start:end].decode('utf-8')\n else:\n val2.status = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.implementations = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.implementations.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.preferred = str[start:end].decode('utf-8')\n else:\n val2.preferred = str[start:end]\n _v56 = val2.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v56.resource_name = str[start:end].decode('utf-8')\n else:\n _v56.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v56.format = str[start:end].decode('utf-8')\n else:\n _v56.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v56.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_interface = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_interface.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_parameters = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_parameters.append(val3)\n val1.rapps.append(val2)\n self.available.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.missing = []\n for i in range(0, length):\n val1 = concert_msgs.msg.ConcertClient()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.gateway_name = str[start:end].decode('utf-8')\n else:\n val1.gateway_name = str[start:end]\n _v57 = val1.platform_info\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v57.name = str[start:end].decode('utf-8')\n else:\n _v57.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v57.rocon_uri = str[start:end].decode('utf-8')\n else:\n _v57.rocon_uri = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v57.description = str[start:end].decode('utf-8')\n else:\n _v57.description = str[start:end]\n _v58 = _v57.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v58.resource_name = str[start:end].decode('utf-8')\n else:\n _v58.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v58.format = str[start:end].decode('utf-8')\n else:\n _v58.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v58.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v57.version = str[start:end].decode('utf-8')\n else:\n _v57.version = str[start:end]\n start = end\n end += 1\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\n val1.is_local_client = bool(val1.is_local_client)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.state = str[start:end].decode('utf-8')\n else:\n val1.state = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.ip = str[start:end].decode('utf-8')\n else:\n val1.ip = str[start:end]\n _v59 = val1.conn_stats\n _x = _v59\n start = end\n end += 40\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\n _v59.gateway_available = bool(_v59.gateway_available)\n _v59.network_info_available = bool(_v59.network_info_available)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.rapps = []\n for i in range(0, length):\n val2 = rocon_app_manager_msgs.msg.Rapp()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.display_name = str[start:end].decode('utf-8')\n else:\n val2.display_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.description = str[start:end].decode('utf-8')\n else:\n val2.description = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.compatibility = str[start:end].decode('utf-8')\n else:\n val2.compatibility = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.status = str[start:end].decode('utf-8')\n else:\n val2.status = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.implementations = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.implementations.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.preferred = str[start:end].decode('utf-8')\n else:\n val2.preferred = str[start:end]\n _v60 = val2.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v60.resource_name = str[start:end].decode('utf-8')\n else:\n _v60.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v60.format = str[start:end].decode('utf-8')\n else:\n _v60.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v60.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_interface = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_interface.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_parameters = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_parameters.append(val3)\n val1.rapps.append(val2)\n self.missing.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.gone = []\n for i in range(0, length):\n val1 = concert_msgs.msg.ConcertClient()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.gateway_name = str[start:end].decode('utf-8')\n else:\n val1.gateway_name = str[start:end]\n _v61 = val1.platform_info\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v61.name = str[start:end].decode('utf-8')\n else:\n _v61.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v61.rocon_uri = str[start:end].decode('utf-8')\n else:\n _v61.rocon_uri = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v61.description = str[start:end].decode('utf-8')\n else:\n _v61.description = str[start:end]\n _v62 = _v61.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v62.resource_name = str[start:end].decode('utf-8')\n else:\n _v62.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v62.format = str[start:end].decode('utf-8')\n else:\n _v62.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v62.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v61.version = str[start:end].decode('utf-8')\n else:\n _v61.version = str[start:end]\n start = end\n end += 1\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\n val1.is_local_client = bool(val1.is_local_client)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.state = str[start:end].decode('utf-8')\n else:\n val1.state = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.ip = str[start:end].decode('utf-8')\n else:\n val1.ip = str[start:end]\n _v63 = val1.conn_stats\n _x = _v63\n start = end\n end += 40\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\n _v63.gateway_available = bool(_v63.gateway_available)\n _v63.network_info_available = bool(_v63.network_info_available)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.rapps = []\n for i in range(0, length):\n val2 = rocon_app_manager_msgs.msg.Rapp()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.display_name = str[start:end].decode('utf-8')\n else:\n val2.display_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.description = str[start:end].decode('utf-8')\n else:\n val2.description = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.compatibility = str[start:end].decode('utf-8')\n else:\n val2.compatibility = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.status = str[start:end].decode('utf-8')\n else:\n val2.status = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.implementations = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.implementations.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.preferred = str[start:end].decode('utf-8')\n else:\n val2.preferred = str[start:end]\n _v64 = val2.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v64.resource_name = str[start:end].decode('utf-8')\n else:\n _v64.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v64.format = str[start:end].decode('utf-8')\n else:\n _v64.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v64.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_interface = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_interface.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_parameters = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_parameters.append(val3)\n val1.rapps.append(val2)\n self.gone.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.image is None:\n self.image = autonavigation.msg.Image()\n end = 0\n _x = self\n start = end\n end += 29\n (_x.unique_key, _x.gps_week, _x.gps_millisecond, _x.video_id, _x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs,) = _struct_2IQB3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.image.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.image.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 212\n (_x.image.localPose.time, _x.image.localPose.dr_x, _x.image.localPose.dr_y, _x.image.localPose.dr_z, _x.image.localPose.dr_heading, _x.image.localPose.dr_roll, _x.image.localPose.dr_pitch, _x.image.localPose.lf_speed, _x.image.localPose.rf_speed, _x.image.localPose.lr_speed, _x.image.localPose.rr_speed, _x.image.localPose.rot_x, _x.image.localPose.rot_y, _x.image.localPose.rot_z, _x.image.localPose.acc_x, _x.image.localPose.acc_y, _x.image.localPose.acc_z, _x.image.localPose.batteryState, _x.image.localPose.batteryEnergy, _x.image.localPose.steer, _x.image.localPose.brake, _x.image.localPose.fuel, _x.image.localPose.trans, _x.image.localPose.VehicleState, _x.image.localPose.mode, _x.image.localPose.drStatus, _x.image.localPose.errorStatus, _x.image.localPose.emergency_flag, _x.image.localPose.hardswitch_on, _x.image.gpsPos.gps_flag, _x.image.gpsPos.gps_week, _x.image.gpsPos.gps_millisecond, _x.image.gpsPos.longitude, _x.image.gpsPos.laltitude, _x.image.gpsPos.gaussX, _x.image.gpsPos.gaussY, _x.image.gpsPos.height, _x.image.gpsPos.pitch, _x.image.gpsPos.roll, _x.image.gpsPos.azimuth, _x.image.gpsPos.northVelocity, _x.image.gpsPos.eastVelocity, _x.image.gpsPos.upVelocity, _x.image.gpsPos.positionStatus, _x.image.gpsPos.rot_x, _x.image.gpsPos.rot_y, _x.image.gpsPos.rot_z, _x.image.gpsPos.acc_x, _x.image.gpsPos.acc_y, _x.image.gpsPos.acc_z, _x.image.height, _x.image.width,) = _struct_d21i7bBI6d13i2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.image.encoding = str[start:end].decode('utf-8')\n else:\n self.image.encoding = str[start:end]\n _x = self\n start = end\n end += 5\n (_x.image.is_bigendian, _x.image.step,) = _struct_BI.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.image.data = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.x is None:\n self.x = geometry_msgs.msg.PoseStamped()\n if self.x_desi is None:\n self.x_desi = geometry_msgs.msg.PoseStamped()\n if self.x_desi_filtered is None:\n self.x_desi_filtered = geometry_msgs.msg.PoseStamped()\n if self.x_err is None:\n self.x_err = geometry_msgs.msg.Twist()\n if self.xd is None:\n self.xd = geometry_msgs.msg.Twist()\n if self.xd_desi is None:\n self.xd_desi = geometry_msgs.msg.Twist()\n if self.F is None:\n self.F = geometry_msgs.msg.Wrench()\n if self.J is None:\n self.J = std_msgs.msg.Float64MultiArray()\n if self.N is None:\n self.N = std_msgs.msg.Float64MultiArray()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x_desi.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x_desi.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x_desi_filtered.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x_desi_filtered.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 248\n (_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z,) = _get_struct_31d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau_pose = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau_posture = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.J.layout.dim = []\n for i in range(0, length):\n val1 = std_msgs.msg.MultiArrayDimension()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.label = str[start:end].decode('utf-8')\n else:\n val1.label = str[start:end]\n _x = val1\n start = end\n end += 8\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\n self.J.layout.dim.append(val1)\n start = end\n end += 4\n (self.J.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.J.data = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.N.layout.dim = []\n for i in range(0, length):\n val1 = std_msgs.msg.MultiArrayDimension()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.label = str[start:end].decode('utf-8')\n else:\n val1.label = str[start:end]\n _x = val1\n start = end\n end += 8\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\n self.N.layout.dim.append(val1)\n start = end\n end += 4\n (self.N.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.N.data = struct.unpack(pattern, str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def _from_cpp(self, str_msg, cls):\n msg = cls()\n result = msg.deserialize(str_msg)\n return result","def deserialize(self, str):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.position is None:\n self.position = geometry_msgs.msg.Point()\n if self.approach is None:\n self.approach = geometry_msgs.msg.Vector3()\n if self.binormal is None:\n self.binormal = geometry_msgs.msg.Vector3()\n if self.axis is None:\n self.axis = geometry_msgs.msg.Vector3()\n if self.width is None:\n self.width = std_msgs.msg.Float32()\n if self.score is None:\n self.score = std_msgs.msg.Float32()\n if self.sample is None:\n self.sample = geometry_msgs.msg.Point()\n end = 0\n _x = self\n start = end\n end += 128\n (_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z,) = _get_struct_12d2f3d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.planning_scene_diff is None:\n self.planning_scene_diff = arm_navigation_msgs.msg.PlanningScene()\n if self.operations is None:\n self.operations = arm_navigation_msgs.msg.OrderedCollisionOperations()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.planning_scene_diff.robot_state.joint_state.header.seq, _x.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.robot_state.joint_state.name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.planning_scene_diff.robot_state.joint_state.name.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.planning_scene_diff.robot_state.joint_state.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.planning_scene_diff.robot_state.joint_state.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.planning_scene_diff.robot_state.joint_state.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 8\n (_x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.secs, _x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.robot_state.multi_dof_joint_state.poses = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v85 = val1.position\n _x = _v85\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v86 = val1.orientation\n _x = _v86\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.planning_scene_diff.robot_state.multi_dof_joint_state.poses.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.fixed_frame_transforms = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.TransformStamped()\n _v87 = val1.header\n start = end\n end += 4\n (_v87.seq,) = _struct_I.unpack(str[start:end])\n _v88 = _v87.stamp\n _x = _v88\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v87.frame_id = str[start:end].decode('utf-8')\n else:\n _v87.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.child_frame_id = str[start:end].decode('utf-8')\n else:\n val1.child_frame_id = str[start:end]\n _v89 = val1.transform\n _v90 = _v89.translation\n _x = _v90\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v91 = _v89.rotation\n _x = _v91\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.planning_scene_diff.fixed_frame_transforms.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.allowed_collision_matrix.link_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.planning_scene_diff.allowed_collision_matrix.link_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.allowed_collision_matrix.entries = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.AllowedCollisionEntry()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sB'%length\n start = end\n end += struct.calcsize(pattern)\n val1.enabled = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\n val1.enabled = map(bool, val1.enabled)\n self.planning_scene_diff.allowed_collision_matrix.entries.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.allowed_contacts = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.AllowedContactSpecification()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _v92 = val1.shape\n start = end\n end += 1\n (_v92.type,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n _v92.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n _v92.triangles = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v92.vertices = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Point()\n _x = val3\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v92.vertices.append(val3)\n _v93 = val1.pose_stamped\n _v94 = _v93.header\n start = end\n end += 4\n (_v94.seq,) = _struct_I.unpack(str[start:end])\n _v95 = _v94.stamp\n _x = _v95\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v94.frame_id = str[start:end].decode('utf-8')\n else:\n _v94.frame_id = str[start:end]\n _v96 = _v93.pose\n _v97 = _v96.position\n _x = _v97\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v98 = _v96.orientation\n _x = _v98\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.link_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.link_names.append(val2)\n start = end\n end += 8\n (val1.penetration_depth,) = _struct_d.unpack(str[start:end])\n self.planning_scene_diff.allowed_contacts.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.link_padding = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.LinkPadding()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n start = end\n end += 8\n (val1.padding,) = _struct_d.unpack(str[start:end])\n self.planning_scene_diff.link_padding.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.collision_objects = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.CollisionObject()\n _v99 = val1.header\n start = end\n end += 4\n (_v99.seq,) = _struct_I.unpack(str[start:end])\n _v100 = _v99.stamp\n _x = _v100\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v99.frame_id = str[start:end].decode('utf-8')\n else:\n _v99.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (val1.padding,) = _struct_f.unpack(str[start:end])\n _v101 = val1.operation\n start = end\n end += 1\n (_v101.operation,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.shapes = []\n for i in range(0, length):\n val2 = arm_navigation_msgs.msg.Shape()\n start = end\n end += 1\n (val2.type,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val2.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n val2.triangles = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.vertices = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Point()\n _x = val3\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n val2.vertices.append(val3)\n val1.shapes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v102 = val2.position\n _x = _v102\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v103 = val2.orientation\n _x = _v103\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n val1.poses.append(val2)\n self.planning_scene_diff.collision_objects.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.attached_collision_objects = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.AttachedCollisionObject()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _v104 = val1.object\n _v105 = _v104.header\n start = end\n end += 4\n (_v105.seq,) = _struct_I.unpack(str[start:end])\n _v106 = _v105.stamp\n _x = _v106\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v105.frame_id = str[start:end].decode('utf-8')\n else:\n _v105.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v104.id = str[start:end].decode('utf-8')\n else:\n _v104.id = str[start:end]\n start = end\n end += 4\n (_v104.padding,) = _struct_f.unpack(str[start:end])\n _v107 = _v104.operation\n start = end\n end += 1\n (_v107.operation,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v104.shapes = []\n for i in range(0, length):\n val3 = arm_navigation_msgs.msg.Shape()\n start = end\n end += 1\n (val3.type,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n val3.triangles = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.vertices = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Point()\n _x = val4\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n val3.vertices.append(val4)\n _v104.shapes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v104.poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v108 = val3.position\n _x = _v108\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v109 = val3.orientation\n _x = _v109\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n _v104.poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.touch_links = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.touch_links.append(val2)\n self.planning_scene_diff.attached_collision_objects.append(val1)\n _x = self\n start = end\n end += 12\n (_x.planning_scene_diff.collision_map.header.seq, _x.planning_scene_diff.collision_map.header.stamp.secs, _x.planning_scene_diff.collision_map.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.planning_scene_diff.collision_map.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.planning_scene_diff.collision_map.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.collision_map.boxes = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.OrientedBoundingBox()\n _v110 = val1.center\n _x = _v110\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\n _v111 = val1.extents\n _x = _v111\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\n _v112 = val1.axis\n _x = _v112\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\n start = end\n end += 4\n (val1.angle,) = _struct_f.unpack(str[start:end])\n self.planning_scene_diff.collision_map.boxes.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.operations.collision_operations = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.CollisionOperation()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.object1 = str[start:end].decode('utf-8')\n else:\n val1.object1 = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.object2 = str[start:end].decode('utf-8')\n else:\n val1.object2 = str[start:end]\n _x = val1\n start = end\n end += 12\n (_x.penetration_distance, _x.operation,) = _struct_di.unpack(str[start:end])\n self.operations.collision_operations.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.plans is None:\n self.plans = None\n end = 0\n start = end\n end += 1\n (self.error,) = _get_struct_b().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.start_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.target_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.plans = []\n for i in range(0, length):\n val1 = poppy_torso_control.msg.Trajectory()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.joint = str[start:end].decode('utf-8')\n else:\n val1.joint = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.trajectory = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n self.plans.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.pose is None:\n self.pose = geometry_msgs.msg.PoseWithCovariance()\n end = 0\n _x = self\n start = end\n end += 72\n (_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w,) = _get_struct_Q8d().unpack(str[start:end])\n start = end\n end += 288\n self.pose.covariance = _get_struct_36d().unpack(str[start:end])\n _x = self\n start = end\n end += 40\n (_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h,) = _get_struct_5d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.modality = str[start:end].decode('utf-8')\n else:\n self.modality = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.embed_vector = struct.unpack(pattern, str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.model_aligned is None:\n self.model_aligned = articulation_msgs.msg.ModelMsg()\n if self.data_aligned is None:\n self.data_aligned = articulation_msgs.msg.ModelMsg()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model_aligned.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model_aligned.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.name = str[start:end].decode('utf-8')\n else:\n self.model_aligned.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.model_aligned.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model_aligned.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model_aligned.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v71 = val1.position\n _x = _v71\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v72 = val1.orientation\n _x = _v72\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v73 = val1.stamp\n _x = _v73\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.model_aligned.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v74 = val1.position\n _x = _v74\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v75 = val1.orientation\n _x = _v75\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v76 = val1.position\n _x = _v76\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v77 = val1.orientation\n _x = _v77\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.model_aligned.track.pose_flags = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = struct.unpack(pattern, str[start:end])\n self.model_aligned.track.channels.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data_aligned.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data_aligned.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.name = str[start:end].decode('utf-8')\n else:\n self.data_aligned.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.data_aligned.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data_aligned.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data_aligned.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v78 = val1.position\n _x = _v78\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v79 = val1.orientation\n _x = _v79\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v80 = val1.stamp\n _x = _v80\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.data_aligned.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v81 = val1.position\n _x = _v81\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v82 = val1.orientation\n _x = _v82\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v83 = val1.position\n _x = _v83\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v84 = val1.orientation\n _x = _v84\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.data_aligned.track.pose_flags = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = struct.unpack(pattern, str[start:end])\n self.data_aligned.track.channels.append(val1)\n start = end\n end += 72\n self.R = _struct_9d.unpack(str[start:end])\n start = end\n end += 24\n self.T = _struct_3d.unpack(str[start:end])\n _x = self\n start = end\n end += 12\n (_x.dist_rot, _x.dist_trans,) = _struct_df.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 152\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _struct_2d2q14dq.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.msg = str[start:end].decode('utf-8')\n else:\n self.msg = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill"],"string":"[\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 152\\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _struct_2d2q14dq.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.msg = str[start:end].decode('utf-8')\\n else:\\n self.msg = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.position is None:\\n self.position = geometry_msgs.msg.Point()\\n if self.approach is None:\\n self.approach = geometry_msgs.msg.Vector3()\\n if self.binormal is None:\\n self.binormal = geometry_msgs.msg.Vector3()\\n if self.axis is None:\\n self.axis = geometry_msgs.msg.Vector3()\\n if self.width is None:\\n self.width = std_msgs.msg.Float32()\\n if self.score is None:\\n self.score = std_msgs.msg.Float32()\\n if self.sample is None:\\n self.sample = geometry_msgs.msg.Point()\\n end = 0\\n _x = self\\n start = end\\n end += 128\\n (_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z,) = _get_struct_12d2f3d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.originId, _x.originType, _x.destinationId, _x.destinationType, _x.range, _x.ts, _x.seq, _x.rxPower, _x.channel, _x.datarate, _x.prf, _x.preambleLength, _x.txGain, _x.angle,) = _get_struct_ihih3i3d2i2d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.cmd = str[start:end].decode('utf-8')\\n else:\\n self.cmd = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.cat = str[start:end].decode('utf-8')\\n else:\\n self.cat = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n if python3:\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.control is None:\\n self.control = vesc_msgs.msg.VescCtrl()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 56\\n (_x.control.mode, _x.control.duty_cycle, _x.control.current, _x.control.brake, _x.control.speed, _x.control.position, _x.control.servo,) = _get_struct_q6d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n if python3:\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.Header is None:\\n self.Header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.Header.seq, _x.Header.stamp.secs, _x.Header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.Header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.Header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 11\\n (_x.x_pos, _x.y_pos, _x.angle, _x.code_type, _x.code_num,) = _get_struct_2hHBI().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg._Header.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 3\\n (_x.gear, _x.front_diff, _x.rear_diff,) = _struct_3B.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.sv is None:\\n self.sv = None\\n end = 0\\n _x = self\\n start = end\\n end += 8\\n (_x.rcvTOW, _x.week, _x.numSV, _x.reserved1,) = _get_struct_ih2B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.sv = []\\n for i in range(0, length):\\n val1 = ublox_msgs.msg.RxmRAW_SV()\\n _x = val1\\n start = end\\n end += 24\\n (_x.cpMes, _x.prMes, _x.doMes, _x.sv, _x.mesQI, _x.cno, _x.lli,) = _get_struct_2dfB2bB().unpack(str[start:end])\\n self.sv.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.battery_voltage,) = _struct_f.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.flight_mode_ll = str[start:end].decode('utf-8')\\n else:\\n self.flight_mode_ll = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.state_estimation = str[start:end].decode('utf-8')\\n else:\\n self.state_estimation = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.position_control = str[start:end].decode('utf-8')\\n else:\\n self.position_control = str[start:end]\\n _x = self\\n start = end\\n end += 10\\n (_x.serial_interface_enabled, _x.serial_interface_active, _x.flight_time, _x.cpu_load,) = _struct_2B2f.unpack(str[start:end])\\n self.serial_interface_enabled = bool(self.serial_interface_enabled)\\n self.serial_interface_active = bool(self.serial_interface_active)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.motor_status = str[start:end].decode('utf-8')\\n else:\\n self.motor_status = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.gps_status = str[start:end].decode('utf-8')\\n else:\\n self.gps_status = str[start:end]\\n _x = self\\n start = end\\n end += 9\\n (_x.gps_num_satellites, _x.have_SSDK_parameters, _x.timesync_offset,) = _struct_iBf.unpack(str[start:end])\\n self.have_SSDK_parameters = bool(self.have_SSDK_parameters)\\n start = end\\n end += 16\\n self.rc_channel = numpy.frombuffer(str[start:end], dtype=numpy.uint16, count=8)\\n start = end\\n end += 12\\n self.control_axes = numpy.frombuffer(str[start:end], dtype=numpy.uint16, count=6)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.control_buttons = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n _x = self\\n start = end\\n end += 48\\n (_x.latitude, _x.longitude, _x.altitude, _x.pressure_height, _x.velocity_x, _x.velocity_y,) = _struct_6d.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 29\\n (_x.status, _x.index, _x.range, _x.range_rate, _x.range_accl, _x.azimuth, _x.lateral_rate, _x.width, _x.is_mr_update, _x.is_lr_update, _x.amplitude,) = _get_struct_2B6f2Bb().unpack(str[start:end])\\n self.is_mr_update = bool(self.is_mr_update)\\n self.is_lr_update = bool(self.is_lr_update)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.vehicle_id is None:\\n self.vehicle_id = opil_v2.msg.Id()\\n if self.action_capability is None:\\n self.action_capability = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.vehicle_id.id,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.vehicle_id.description = str[start:end].decode('utf-8')\\n else:\\n self.vehicle_id.description = str[start:end]\\n _x = self\\n start = end\\n end += 84\\n (_x.left_size, _x.right_size, _x.front_size, _x.rear_size, _x.min_height, _x.max_height, _x.payload, _x.max_pos_x_vel, _x.max_neg_x_vel, _x.max_pos_x_acc, _x.max_neg_x_acc, _x.max_pos_y_vel, _x.max_neg_y_vel, _x.max_pos_y_acc, _x.max_neg_y_acc, _x.max_pos_ang_vel, _x.max_neg_ang_vel, _x.velocity_control_sensitivity, _x.min_turning_radius, _x.batt_capacity, _x.batt_max_voltage,) = _get_struct_21f().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.vehicle_type = str[start:end].decode('utf-8')\\n else:\\n self.vehicle_type = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.vendor = str[start:end].decode('utf-8')\\n else:\\n self.vendor = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.action_capability = []\\n for i in range(0, length):\\n val1 = opil_v2.msg.RobotAction()\\n _x = val1\\n start = end\\n end += 2\\n (_x.category, _x.action,) = _get_struct_2B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.attributes = []\\n for i in range(0, length):\\n val2 = opil_v2.msg.Tuple()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.type = str[start:end].decode('utf-8')\\n else:\\n val2.type = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.value = str[start:end].decode('utf-8')\\n else:\\n val2.value = str[start:end]\\n val1.attributes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.description = str[start:end].decode('utf-8')\\n else:\\n val1.description = str[start:end]\\n self.action_capability.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 36\\n (_x.mask, _x.dynModel, _x.fixMode, _x.fixedAlt, _x.fixedAltVar, _x.minElev, _x.drLimit, _x.pDop, _x.tDop, _x.pAcc, _x.tAcc, _x.staticHoldThresh, _x.dgpsTimeOut, _x.reserved2, _x.reserved3, _x.reserved4,) = _get_struct_H2BiIbB4H2B3I().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 57\\n (_x.decision, _x.distance, _x.oriX, _x.oriY, _x.oriZ, _x.placX, _x.placY, _x.placZ,) = _get_struct_b7d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 8\\n (self.i,) = _struct_d.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.icon is None:\\n self.icon = rocon_std_msgs.msg.Icon()\\n if self.remappings is None:\\n self.remappings = None\\n if self.pairing is None:\\n self.pairing = rocon_interaction_msgs.msg.Pairing()\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.name = str[start:end].decode('utf-8')\\n else:\\n self.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.compatibility = str[start:end].decode('utf-8')\\n else:\\n self.compatibility = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.display_name = str[start:end].decode('utf-8')\\n else:\\n self.display_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.description = str[start:end].decode('utf-8')\\n else:\\n self.description = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.namespace = str[start:end].decode('utf-8')\\n else:\\n self.namespace = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.icon.resource_name = str[start:end].decode('utf-8')\\n else:\\n self.icon.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.icon.format = str[start:end].decode('utf-8')\\n else:\\n self.icon.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.icon.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.remappings = []\\n for i in range(0, length):\\n val1 = rocon_std_msgs.msg.Remapping()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.remap_from = str[start:end].decode('utf-8')\\n else:\\n val1.remap_from = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.remap_to = str[start:end].decode('utf-8')\\n else:\\n val1.remap_to = str[start:end]\\n self.remappings.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.parameters = str[start:end].decode('utf-8')\\n else:\\n self.parameters = str[start:end]\\n start = end\\n end += 4\\n (self.max,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.pairing.rapp = str[start:end].decode('utf-8')\\n else:\\n self.pairing.rapp = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.pairing.remappings = []\\n for i in range(0, length):\\n val1 = rocon_std_msgs.msg.Remapping()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.remap_from = str[start:end].decode('utf-8')\\n else:\\n val1.remap_from = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.remap_to = str[start:end].decode('utf-8')\\n else:\\n val1.remap_to = str[start:end]\\n self.pairing.remappings.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.pairing.parameters = []\\n for i in range(0, length):\\n val1 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.key = str[start:end].decode('utf-8')\\n else:\\n val1.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.value = str[start:end].decode('utf-8')\\n else:\\n val1.value = str[start:end]\\n self.pairing.parameters.append(val1)\\n start = end\\n end += 4\\n (self.hash,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.role = str[start:end].decode('utf-8')\\n else:\\n self.role = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 1\\n (self.result,) = _struct_B.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.x is None:\\n self.x = geometry_msgs.msg.PoseStamped()\\n if self.x_desi is None:\\n self.x_desi = geometry_msgs.msg.PoseStamped()\\n if self.x_desi_filtered is None:\\n self.x_desi_filtered = geometry_msgs.msg.PoseStamped()\\n if self.x_err is None:\\n self.x_err = geometry_msgs.msg.Twist()\\n if self.xd is None:\\n self.xd = geometry_msgs.msg.Twist()\\n if self.xd_desi is None:\\n self.xd_desi = geometry_msgs.msg.Twist()\\n if self.F is None:\\n self.F = geometry_msgs.msg.Wrench()\\n if self.J is None:\\n self.J = std_msgs.msg.Float64MultiArray()\\n if self.N is None:\\n self.N = std_msgs.msg.Float64MultiArray()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x_desi.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x_desi.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x_desi_filtered.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x_desi_filtered.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 248\\n (_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z,) = _get_struct_31d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau_pose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau_posture = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.J.layout.dim = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.MultiArrayDimension()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.label = str[start:end].decode('utf-8')\\n else:\\n val1.label = str[start:end]\\n _x = val1\\n start = end\\n end += 8\\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\\n self.J.layout.dim.append(val1)\\n start = end\\n end += 4\\n (self.J.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.J.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.N.layout.dim = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.MultiArrayDimension()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.label = str[start:end].decode('utf-8')\\n else:\\n val1.label = str[start:end]\\n _x = val1\\n start = end\\n end += 8\\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\\n self.N.layout.dim.append(val1)\\n start = end\\n end += 4\\n (self.N.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.N.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.model is None:\\n self.model = articulation_msgs.msg.ModelMsg()\\n if self.data is None:\\n self.data = articulation_msgs.msg.ModelMsg()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.model.header.seq, _x.model.header.stamp.secs, _x.model.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model.name = str[start:end].decode('utf-8')\\n else:\\n self.model.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.model.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.model.track.header.seq, _x.model.track.header.stamp.secs, _x.model.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v43 = val1.position\\n _x = _v43\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v44 = val1.orientation\\n _x = _v44\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v45 = val1.stamp\\n _x = _v45\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.model.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v46 = val1.position\\n _x = _v46\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v47 = val1.orientation\\n _x = _v47\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v48 = val1.position\\n _x = _v48\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v49 = val1.orientation\\n _x = _v49\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.model.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n self.model.track.channels.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data.header.seq, _x.data.header.stamp.secs, _x.data.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data.name = str[start:end].decode('utf-8')\\n else:\\n self.data.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.data.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data.track.header.seq, _x.data.track.header.stamp.secs, _x.data.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v50 = val1.position\\n _x = _v50\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v51 = val1.orientation\\n _x = _v51\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v52 = val1.stamp\\n _x = _v52\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.data.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v53 = val1.position\\n _x = _v53\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v54 = val1.orientation\\n _x = _v54\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v55 = val1.position\\n _x = _v55\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v56 = val1.orientation\\n _x = _v56\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.data.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n self.data.track.channels.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.model_aligned is None:\\n self.model_aligned = articulation_msgs.msg.ModelMsg()\\n if self.data_aligned is None:\\n self.data_aligned = articulation_msgs.msg.ModelMsg()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model_aligned.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.name = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.model_aligned.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model_aligned.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v99 = val1.position\\n _x = _v99\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v100 = val1.orientation\\n _x = _v100\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v101 = val1.stamp\\n _x = _v101\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.model_aligned.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v102 = val1.position\\n _x = _v102\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v103 = val1.orientation\\n _x = _v103\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v104 = val1.position\\n _x = _v104\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v105 = val1.orientation\\n _x = _v105\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.model_aligned.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n self.model_aligned.track.channels.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data_aligned.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.name = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.data_aligned.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data_aligned.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v106 = val1.position\\n _x = _v106\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v107 = val1.orientation\\n _x = _v107\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v108 = val1.stamp\\n _x = _v108\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.data_aligned.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v109 = val1.position\\n _x = _v109\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v110 = val1.orientation\\n _x = _v110\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v111 = val1.position\\n _x = _v111\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v112 = val1.orientation\\n _x = _v112\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.data_aligned.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n self.data_aligned.track.channels.append(val1)\\n start = end\\n end += 72\\n self.R = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\\n start = end\\n end += 24\\n self.T = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 12\\n (_x.dist_rot, _x.dist_trans,) = _struct_df.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 34\\n (_x.sensorId, _x.id, _x.length, _x.width, _x.measstat, _x.existprob, _x.dynprop, _x.latdisp, _x.longdisp, _x.relxdot, _x.relxddot, _x.latspeed, _x.obsprob, _x.rollcount, _x.rcs,) = _struct_H6B5f2Bf.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.tsp_turtles = str[start:end].decode('utf-8')\\n else:\\n self.tsp_turtles = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.conveyor_turtle = str[start:end].decode('utf-8')\\n else:\\n self.conveyor_turtle = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.catch_turtle = str[start:end].decode('utf-8')\\n else:\\n self.catch_turtle = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 56\\n (_x.command, _x.set_num, _x.paraset_byte54, _x.paraset_byte53, _x.paraset_byte52, _x.paraset_byte51, _x.paraset_byte50, _x.paraset_byte49, _x.paraset_byte48, _x.paraset_byte47, _x.paraset_byte46, _x.paraset_byte45, _x.paraset_byte44, _x.paraset_byte43, _x.paraset_byte42, _x.paraset_byte41, _x.paraset_byte40, _x.paraset_byte39, _x.paraset_byte38, _x.paraset_byte37, _x.paraset_byte36, _x.paraset_byte35, _x.paraset_byte34, _x.paraset_byte33, _x.paraset_byte32, _x.paraset_byte31, _x.paraset_byte30, _x.paraset_byte29, _x.paraset_byte28, _x.paraset_byte27, _x.paraset_byte26, _x.paraset_byte25, _x.paraset_byte24, _x.paraset_byte23, _x.paraset_byte22, _x.paraset_byte21, _x.paraset_byte20, _x.paraset_byte19, _x.paraset_byte18, _x.paraset_byte17, _x.paraset_byte16, _x.paraset_byte15, _x.paraset_byte14, _x.paraset_byte13, _x.paraset_byte12, _x.paraset_byte11, _x.paraset_byte10, _x.paraset_byte9, _x.paraset_byte8, _x.paraset_byte7, _x.paraset_byte6, _x.paraset_byte5, _x.paraset_byte4, _x.paraset_byte3, _x.paraset_byte2, _x.paraset_byte1,) = _get_struct_56B().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.prefixes is None:\\n self.prefixes = None\\n if self.address is None:\\n self.address = knowrob_semantic_map_msgs.msg.SemMapAddress()\\n if self.objects is None:\\n self.objects = None\\n if self.actions is None:\\n self.actions = None\\n if self.object_properties is None:\\n self.object_properties = None\\n if self.data_properties is None:\\n self.data_properties = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.namespace = str[start:end].decode('utf-8')\\n else:\\n self.namespace = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.id = str[start:end].decode('utf-8')\\n else:\\n self.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.prefixes = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapPrefix()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.prefix = str[start:end].decode('utf-8')\\n else:\\n val1.prefix = str[start:end]\\n self.prefixes.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.imports = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.imports.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.room_nr = str[start:end].decode('utf-8')\\n else:\\n self.address.room_nr = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.floor_nr = str[start:end].decode('utf-8')\\n else:\\n self.address.floor_nr = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.street_nr = str[start:end].decode('utf-8')\\n else:\\n self.address.street_nr = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.street_name = str[start:end].decode('utf-8')\\n else:\\n self.address.street_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.city_name = str[start:end].decode('utf-8')\\n else:\\n self.address.city_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.objects = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapObject()\\n _v19 = val1.header\\n start = end\\n end += 4\\n (_v19.seq,) = _struct_I.unpack(str[start:end])\\n _v20 = _v19.stamp\\n _x = _v20\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v19.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v19.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.type = str[start:end].decode('utf-8')\\n else:\\n val1.type = str[start:end]\\n _v21 = val1.size\\n _x = _v21\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\\n _v22 = val1.pose\\n _v23 = _v22.position\\n _x = _v23\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v24 = _v22.orientation\\n _x = _v24\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.part_of = str[start:end].decode('utf-8')\\n else:\\n val1.part_of = str[start:end]\\n self.objects.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.actions = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapAction()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.type = str[start:end].decode('utf-8')\\n else:\\n val1.type = str[start:end]\\n start = end\\n end += 1\\n (val1.asserted,) = _struct_B.unpack(str[start:end])\\n val1.asserted = bool(val1.asserted)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.object_acted_on = str[start:end].decode('utf-8')\\n else:\\n val1.object_acted_on = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.subactions = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.subactions.append(val2)\\n _x = val1\\n start = end\\n end += 2\\n (_x.quantification, _x.unordered,) = _struct_bB.unpack(str[start:end])\\n val1.unordered = bool(val1.unordered)\\n self.actions.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.object_properties = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapObjectProperty()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.subject = str[start:end].decode('utf-8')\\n else:\\n val1.subject = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.object = str[start:end].decode('utf-8')\\n else:\\n val1.object = str[start:end]\\n self.object_properties.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_properties = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapDataProperty()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.subject = str[start:end].decode('utf-8')\\n else:\\n val1.subject = str[start:end]\\n start = end\\n end += 1\\n (val1.value_type,) = _struct_B.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.value = str[start:end].decode('utf-8')\\n else:\\n val1.value = str[start:end]\\n self.data_properties.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.type is None:\\n self.type = std_msgs.msg.String()\\n if self.parent_name is None:\\n self.parent_name = std_msgs.msg.String()\\n if self.name is None:\\n self.name = std_msgs.msg.String()\\n if self.pose is None:\\n self.pose = geometry_msgs.msg.Pose()\\n if self.sensed_objects is None:\\n self.sensed_objects = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.sim_step,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.type.data = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.type.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.parent_name.data = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.parent_name.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.name.data = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.name.data = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.wall_time, _x.sim_time, _x.pose.position.x, _x.pose.position.y, _x.pose.position.z, _x.pose.orientation.x, _x.pose.orientation.y, _x.pose.orientation.z, _x.pose.orientation.w, _x.count,) = _get_struct_2f7dI().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sB'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.triggered = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\\n self.triggered = list(map(bool, self.triggered))\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.range = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.measurement = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.sensed_objects = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.String()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.data = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1.data = str[start:end]\\n self.sensed_objects.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.sensed_objects_map = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 100\\n (_x.id, _x.age, _x.velocidad_relativa_x, _x.velocidad_relativa_y, _x.velocidad_absoluta_x, _x.velocidad_absoluta_y, _x.velocidad_absoluta_sigma_x, _x.velocidad_absoluta_sigma_y, _x.bounding_box_centro_x, _x.bounding_box_centro_y, _x.bounding_box_largo, _x.bounding_box_ancho, _x.object_box_centro_x, _x.object_box_centro_y, _x.object_box_orientacion, _x.object_box_size_x, _x.object_box_size_y, _x.clasificacion, _x.clasificacion_age, _x.clasificacion_certeza, _x.punto_cercano_x, _x.punto_cercano_y, _x.punto_referencia_x, _x.punto_referencia_y, _x.punto_referencia_sigma_x, _x.punto_referencia_sigma_y,) = _get_struct_h16fh8f().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.RPY is None:\\n self.RPY = geometry_msgs.msg.Vector3()\\n if self.LLA is None:\\n self.LLA = geometry_msgs.msg.Vector3()\\n if self.NedVel is None:\\n self.NedVel = geometry_msgs.msg.Vector3()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 116\\n (_x.Time, _x.Week, _x.Status, _x.RPY.x, _x.RPY.y, _x.RPY.z, _x.LLA.x, _x.LLA.y, _x.LLA.z, _x.NedVel.x, _x.NedVel.y, _x.NedVel.z, _x.YawUncertainty, _x.PitchUncertainty, _x.RollUncertainty, _x.PosUncertainty, _x.VelUncertainty, _x.SyncInTime, _x.SyncInCount,) = _get_struct_d2H9d5fdI().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 112\\n (_x.u0, _x.h0, _x.vl, _x.i0, _x.wv, _x.wh, _x.wi, _x.h_stop, _x.T_gap, _x.v_max, _x.v_min, _x.h_min, _x.i_max, _x.i_min,) = _struct_14d.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.pointA is None:\\n self.pointA = nubot_common.msg.Point2d()\\n if self.pointB is None:\\n self.pointB = nubot_common.msg.Point2d()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 26\\n (_x.MatchMode, _x.MatchType, _x.TestMode, _x.pointA.x, _x.pointA.y, _x.pointB.x, _x.pointB.y, _x.angleA, _x.angleB, _x.idA, _x.idB, _x.kickforce,) = _get_struct_3B4f2h3B().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.pose is None:\\n self.pose = geometry_msgs.msg.PoseWithCovariance()\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w,) = _get_struct_Q8d().unpack(str[start:end])\\n start = end\\n end += 288\\n self.pose.covariance = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=36)\\n _x = self\\n start = end\\n end += 40\\n (_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h,) = _get_struct_5d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.modality = str[start:end].decode('utf-8')\\n else:\\n self.modality = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.embed_vector = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg._Header.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 9\\n (_x.dvl_sts, _x.svs_sts, _x.fog_sts, _x.nav_sts, _x.bat_sts, _x.t_sts, _x.h_sts, _x.p_sts, _x.water_sts,) = _struct_9B.unpack(str[start:end])\\n self.dvl_sts = bool(self.dvl_sts)\\n self.svs_sts = bool(self.svs_sts)\\n self.fog_sts = bool(self.fog_sts)\\n self.nav_sts = bool(self.nav_sts)\\n self.bat_sts = bool(self.bat_sts)\\n self.t_sts = bool(self.t_sts)\\n self.h_sts = bool(self.h_sts)\\n self.p_sts = bool(self.p_sts)\\n self.water_sts = bool(self.water_sts)\\n return self\\n except struct.error as e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.predict is None:\\n self.predict = argus_msgs.msg.FilterPredictStep()\\n if self.update is None:\\n self.update = argus_msgs.msg.FilterUpdateStep()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 26\\n (_x.step_num, _x.info_type, _x.predict.step_dt, _x.predict.trans_jacobian.column_major, _x.predict.trans_jacobian.rows, _x.predict.trans_jacobian.cols,) = _get_struct_QBdB2I().unpack(str[start:end])\\n self.predict.trans_jacobian.column_major = bool(self.predict.trans_jacobian.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.predict.trans_jacobian.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.predict.trans_noise_cov.column_major, _x.predict.trans_noise_cov.rows, _x.predict.trans_noise_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.predict.trans_noise_cov.column_major = bool(self.predict.trans_noise_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.predict.trans_noise_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.predict.prior_state_cov.column_major, _x.predict.prior_state_cov.rows, _x.predict.prior_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.predict.prior_state_cov.column_major = bool(self.predict.prior_state_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.predict.prior_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.predict.post_state_cov.column_major, _x.predict.post_state_cov.rows, _x.predict.post_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.predict.post_state_cov.column_major = bool(self.predict.post_state_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.predict.post_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.update.prior_state_cov.column_major, _x.update.prior_state_cov.rows, _x.update.prior_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.prior_state_cov.column_major = bool(self.update.prior_state_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.prior_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.prior_obs_error = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.update.obs_error_cov.column_major, _x.update.obs_error_cov.rows, _x.update.obs_error_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.obs_error_cov.column_major = bool(self.update.obs_error_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.obs_error_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.update.post_state_cov.column_major, _x.update.post_state_cov.rows, _x.update.post_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.post_state_cov.column_major = bool(self.update.post_state_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.post_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.state_delta = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.post_obs_error = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.update.obs_jacobian.column_major, _x.update.obs_jacobian.rows, _x.update.obs_jacobian.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.obs_jacobian.column_major = bool(self.update.obs_jacobian.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.obs_jacobian.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.update.obs_noise_cov.column_major, _x.update.obs_noise_cov.rows, _x.update.obs_noise_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.obs_noise_cov.column_major = bool(self.update.obs_noise_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.obs_noise_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 1\\n (self.type,) = _struct_B.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model = str[start:end].decode('utf-8')\\n else:\\n self.model = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.head_version = str[start:end].decode('utf-8')\\n else:\\n self.head_version = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.body_version = str[start:end].decode('utf-8')\\n else:\\n self.body_version = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.arm_version = str[start:end].decode('utf-8')\\n else:\\n self.arm_version = str[start:end]\\n _x = self\\n start = end\\n end += 14\\n (_x.has_laser, _x.has_extended_arms, _x.number_of_legs, _x.number_of_arms, _x.number_of_hands,) = _struct_2B3i.unpack(str[start:end])\\n self.has_laser = bool(self.has_laser)\\n self.has_extended_arms = bool(self.has_extended_arms)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.base is None:\\n self.base = rwrc12_msgs.msg.CellBase()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.base.header.seq, _x.base.header.stamp.secs, _x.base.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.base.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.base.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 20\\n (_x.base.cell_width, _x.base.cell_height, _x.base.position.x, _x.base.position.y, _x.base.position.z,) = _struct_5f.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.base.points = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Point32()\\n _x = val1\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\\n self.base.points.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.base.intensity = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n start = end\\n end += 1\\n (self.base.cost,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.base.label = str[start:end].decode('utf-8')\\n else:\\n self.base.label = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.mean_height, _x.mean_intensity,) = _struct_2f.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.cond_transition is None:\\n self.cond_transition = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.state_path = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.state_path = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.state_class = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.state_class = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.initial_state_name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.initial_state_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.input_keys = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.input_keys.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.output_keys = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.output_keys.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.cond_outcome = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.cond_outcome.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.cond_transition = []\\n for i in range(0, length):\\n val1 = flexbe_msgs.msg.OutcomeCondition()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.state_name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val2 = str[start:end]\\n val1.state_name.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.state_outcome = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val2 = str[start:end]\\n val1.state_outcome.append(val2)\\n self.cond_transition.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.behavior_class = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.behavior_class = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.parameter_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.parameter_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.parameter_values = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.parameter_values.append(val1)\\n start = end\\n end += 8\\n self.position = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.outcomes = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.outcomes.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.transitions = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.transitions.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sb'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.autonomy = numpy.frombuffer(str[start:end], dtype=numpy.int8, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.userdata_keys = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.userdata_keys.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.userdata_remapping = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.userdata_remapping.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 6\\n (_x.sbpl_wait_flag, _x.sbpl_present_x, _x.sbpl_present_y, _x.sbpl_new_x, _x.sbpl_new_y, _x.start_P3DX_motion,) = _struct_B4bB.unpack(str[start:end])\\n self.sbpl_wait_flag = bool(self.sbpl_wait_flag)\\n self.start_P3DX_motion = bool(self.start_P3DX_motion)\\n return self\\n except struct.error as e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n if python3:\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 86\\n (_x.sample_count, _x.ekf_roll, _x.ekf_pitch, _x.ekf_yaw, _x.ekf_lat, _x.ekf_lon, _x.ekf_alt, _x.ekf_vN, _x.ekf_vE, _x.ekf_vD, _x.ekf_vX, _x.ekf_vY, _x.ekf_vZ, _x.rad_gyro_X, _x.rad_gyro_Y, _x.rad_gyro_Z, _x.angular_acc_X, _x.angular_acc_Y, _x.angular_acc_Z, _x.alt_DVL,) = _get_struct_I3f2d13fH().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.dvl_error_code = str[start:end]\\n _x = self\\n start = end\\n end += 73\\n (_x.flag_to_check, _x.imu_deg_gyro_X, _x.imu_deg_gyro_Y, _x.imu_deg_gyro_Z, _x.imu_mag_X, _x.imu_mag_Y, _x.imu_mag_Z, _x.imu_acc_X, _x.imu_acc_Y, _x.imu_acc_Z, _x.gps_lat, _x.gps_lon, _x.gps_alt, _x.gps_vN, _x.gps_vE, _x.gps_vD, _x.dvl_vX, _x.dvl_vY, _x.dvl_vZ,) = _get_struct_B9f2i7f().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.actors is None:\\n self.actors = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.actors = []\\n for i in range(0, length):\\n val1 = nesfr3_msgs.msg.Actor()\\n _v25 = val1.header\\n start = end\\n end += 4\\n (_v25.seq,) = _get_struct_I().unpack(str[start:end])\\n _v26 = _v25.stamp\\n _x = _v26\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v25.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v25.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (val1.tracking_id,) = _get_struct_I().unpack(str[start:end])\\n _v27 = val1.pose\\n _v28 = _v27.pose\\n _v29 = _v28.position\\n _x = _v29\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v30 = _v28.orientation\\n _x = _v30\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 288\\n _v27.covariance = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=36)\\n val1.points = []\\n for i in range(0, 18):\\n val2 = nesfr3_msgs.msg.PointWithConfidence()\\n _v31 = val2.point\\n _x = _v31\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val2.confidence,) = _get_struct_f().unpack(str[start:end])\\n val1.points.append(val2)\\n _v32 = val1.nose_point\\n _x = _v32\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.actors.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 56\\n (_x.s_x, _x.s_y, _x.f_x, _x.f_y, _x.step_size, _x.bias_param, _x.max_iteration,) = _struct_7q.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 1\\n (self.success,) = _struct_B.unpack(str[start:end])\\n self.success = bool(self.success)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.c0 is None:\\n self.c0 = bh_motion.msg.Vector3()\\n if self.c1 is None:\\n self.c1 = bh_motion.msg.Vector3()\\n if self.c2 is None:\\n self.c2 = bh_motion.msg.Vector3()\\n end = 0\\n _x = self\\n start = end\\n end += 36\\n (_x.c0.x, _x.c0.y, _x.c0.z, _x.c1.x, _x.c1.y, _x.c1.z, _x.c2.x, _x.c2.y, _x.c2.z,) = _struct_9f.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.canmsg = str[start:end].decode('utf-8')\\n else:\\n self.canmsg = str[start:end]\\n _x = self\\n start = end\\n end += 30\\n (_x.track_id, _x.track_lat_rate, _x.track_group_changed, _x.track_status, _x.track_angle, _x.track_range, _x.track_bridge_object, _x.track_rolling_count, _x.track_width, _x.track_range_accel, _x.track_med_range_mode, _x.track_range_rate,) = _get_struct_Bf2B2f2B2fBf().unpack(str[start:end])\\n self.track_group_changed = bool(self.track_group_changed)\\n self.track_bridge_object = bool(self.track_bridge_object)\\n self.track_rolling_count = bool(self.track_rolling_count)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 16\\n (_x.FL_vel, _x.FR_vel, _x.BL_vel, _x.BR_vel,) = _struct_4i.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.health, _x.utcA0, _x.utcA1, _x.utcTOW, _x.utcWNT, _x.utcLS, _x.utcWNF, _x.utcDN, _x.utcLSF, _x.utcSpare, _x.klobA0, _x.klobA1, _x.klobA2, _x.klobA3, _x.klobB0, _x.klobB1, _x.klobB2, _x.klobB3, _x.flags,) = _get_struct_I2di6h8fI().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.hlive, _x.hstate, _x.hfinished, _x.pressure, _x.c1, _x.c2, _x.c3, _x.c4, _x.c5, _x.c6, _x.c7, _x.c8,) = _struct_12B.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 24\\n (_x.sysid, _x.compid, _x.limits_state, _x.last_trigger, _x.last_action, _x.last_recovery, _x.last_clear, _x.breach_count, _x.mods_enabled, _x.mods_required, _x.mods_triggered,) = _struct_3B4IH3B.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.nodes is None:\\n self.nodes = None\\n end = 0\\n _x = self\\n start = end\\n end += 14\\n (_x.role, _x.id, _x.local_time, _x.system_time, _x.voltage,) = _get_struct_2B2If().unpack(str[start:end])\\n start = end\\n end += 12\\n self.pos_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\\n start = end\\n end += 12\\n self.eop_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\\n start = end\\n end += 12\\n self.vel_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\\n start = end\\n end += 12\\n self.angle_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\\n start = end\\n end += 16\\n self.quaternion = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=4)\\n start = end\\n end += 12\\n self.imu_gyro_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\\n start = end\\n end += 12\\n self.imu_acc_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.nodes = []\\n for i in range(0, length):\\n val1 = nlink_parser.msg.LinktrackNode2()\\n _x = val1\\n start = end\\n end += 14\\n (_x.role, _x.id, _x.dis, _x.fp_rssi, _x.rx_rssi,) = _get_struct_2B3f().unpack(str[start:end])\\n self.nodes.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.Hlines is None:\\n self.Hlines = None\\n if self.Vlines is None:\\n self.Vlines = None\\n if self.regions is None:\\n self.regions = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 4\\n (_x.image_width, _x.image_height,) = _get_struct_2H().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.Hlines = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Point()\\n _x = val1\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.Hlines.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.Vlines = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Point()\\n _x = val1\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.Vlines.append(val1)\\n start = end\\n end += 2\\n (self.PFPS,) = _get_struct_H().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.regions = []\\n for i in range(0, length):\\n val1 = cooperative_driving_vision.msg.Region()\\n _v7 = val1.color\\n _x = _v7\\n start = end\\n end += 16\\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\\n _v8 = val1.moment\\n _x = _v8\\n start = end\\n end += 40\\n (_x.m00, _x.m10, _x.m01, _x.m11, _x.m20, _x.m02, _x.m21, _x.m12, _x.m30, _x.m03,) = _get_struct_10f().unpack(str[start:end])\\n self.regions.append(val1)\\n _x = self\\n start = end\\n end += 4\\n (_x.box_width, _x.box_height,) = _get_struct_2H().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.position is None:\\n self.position = pcl_segment.msg.positionRPY()\\n end = 0\\n _x = self\\n start = end\\n end += 57\\n (_x.position.x, _x.position.y, _x.position.z, _x.position.roll, _x.position.pitch, _x.position.yaw, _x.position.stamp.secs, _x.position.stamp.nsecs, _x.is_Known,) = _get_struct_6d2IB().unpack(str[start:end])\\n self.is_Known = bool(self.is_Known)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 142\\n (_x.Timestamp_sec, _x.Timestamp_nsec, _x.Roll, _x.Pitch, _x.Yaw, _x.Wx, _x.Wy, _x.Wz, _x.AcelX, _x.AcelY, _x.AcelZ, _x.VelN, _x.VelE, _x.VelZ, _x.GPSLong, _x.GPSLat, _x.GPSAlt, _x.Temp, _x.IMUTime, _x.BITStatus,) = _get_struct_2i16dih().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.lnid, _x.did, _x.blid, _x.flid, _x.bnid, _x.fnid, _x.jct, _x.blid2, _x.blid3, _x.blid4, _x.flid2, _x.flid3, _x.flid4, _x.clossid, _x.span, _x.lcnt, _x.lno,) = _struct_14id2i.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.localStamp is None:\\n self.localStamp = vehicle_msgs.msg.FrameStamp()\\n if self.globalStamp is None:\\n self.globalStamp = vehicle_msgs.msg.FrameStamp()\\n if self.camera is None:\\n self.camera = vehicle_msgs.msg.Camera()\\n if self.camera_obj is None:\\n self.camera_obj = None\\n if self.camera_lane is None:\\n self.camera_lane = vehicle_msgs.msg.Camera_Lane()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 16\\n (_x.messageID, _x.localStamp.header.seq, _x.localStamp.header.stamp.secs, _x.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.localStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.localStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.localStamp.time, _x.localStamp.lat, _x.localStamp.lng, _x.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.localStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.localStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.localStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.localStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 12\\n (_x.globalStamp.header.seq, _x.globalStamp.header.stamp.secs, _x.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.globalStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.globalStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.globalStamp.time, _x.globalStamp.lat, _x.globalStamp.lng, _x.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.globalStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.globalStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.globalStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.globalStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 12\\n (_x.camera.header.seq, _x.camera.header.stamp.secs, _x.camera.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 16\\n (_x.camera.messageID, _x.camera.localStamp.header.seq, _x.camera.localStamp.header.stamp.secs, _x.camera.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera.localStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera.localStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.camera.localStamp.time, _x.camera.localStamp.lat, _x.camera.localStamp.lng, _x.camera.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera.localStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera.localStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera.localStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera.localStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 12\\n (_x.camera.globalStamp.header.seq, _x.camera.globalStamp.header.stamp.secs, _x.camera.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera.globalStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera.globalStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.camera.globalStamp.time, _x.camera.globalStamp.lat, _x.camera.globalStamp.lng, _x.camera.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera.globalStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera.globalStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera.globalStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera.globalStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 12\\n (_x.camera.camera_numobstacles, _x.camera.VehSpeed,) = _get_struct_id().unpack(str[start:end])\\n self.camera_obj = []\\n for i in range(0, 10):\\n val1 = vehicle_msgs.msg.Camera_Obj()\\n _v25 = val1.header\\n start = end\\n end += 4\\n (_v25.seq,) = _get_struct_I().unpack(str[start:end])\\n _v26 = _v25.stamp\\n _x = _v26\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v25.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v25.frame_id = str[start:end]\\n start = end\\n end += 4\\n (val1.messageID,) = _get_struct_i().unpack(str[start:end])\\n _v27 = val1.localStamp\\n _v28 = _v27.header\\n start = end\\n end += 4\\n (_v28.seq,) = _get_struct_I().unpack(str[start:end])\\n _v29 = _v28.stamp\\n _x = _v29\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v28.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v28.frame_id = str[start:end]\\n _x = _v27\\n start = end\\n end += 32\\n (_x.time, _x.lat, _x.lng, _x.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n _v27.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n _v27.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n _v27.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n _v27.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _v30 = val1.globalStamp\\n _v31 = _v30.header\\n start = end\\n end += 4\\n (_v31.seq,) = _get_struct_I().unpack(str[start:end])\\n _v32 = _v31.stamp\\n _x = _v32\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v31.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v31.frame_id = str[start:end]\\n _x = _v30\\n start = end\\n end += 32\\n (_x.time, _x.lat, _x.lng, _x.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n _v30.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n _v30.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n _v30.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n _v30.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = val1\\n start = end\\n end += 136\\n (_x.camera_obstacle_id, _x.camera_obstacleposx, _x.camera_obstacleposy, _x.blinkerInfo, _x.cut_in_and_out, _x.obstacle_type, _x.obstacle_status, _x.obstacle_valid, _x.obstacles_brake_lights, _x.obstacle_length, _x.obstacle_width, _x.obstacles_velx, _x.obstacleAge, _x.obstacleLane, _x.CIPVFlag, _x.RadarPosX, _x.RadarVelX, _x.RadarMatchConfidence, _x.MatcheRadarID, _x.obstacleAngleRate, _x.obstacles_velY, _x.object_Accel_X, _x.obstacleReplaced, _x.obstacleAngle,) = _get_struct_i2d6i3d3i2d2ididid().unpack(str[start:end])\\n self.camera_obj.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.camera_lane.header.seq, _x.camera_lane.header.stamp.secs, _x.camera_lane.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_lane.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera_lane.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 16\\n (_x.camera_lane.messageID, _x.camera_lane.localStamp.header.seq, _x.camera_lane.localStamp.header.stamp.secs, _x.camera_lane.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_lane.localStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera_lane.localStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.camera_lane.localStamp.time, _x.camera_lane.localStamp.lat, _x.camera_lane.localStamp.lng, _x.camera_lane.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera_lane.localStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera_lane.localStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera_lane.localStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera_lane.localStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 12\\n (_x.camera_lane.globalStamp.header.seq, _x.camera_lane.globalStamp.header.stamp.secs, _x.camera_lane.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_lane.globalStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera_lane.globalStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.camera_lane.globalStamp.time, _x.camera_lane.globalStamp.lat, _x.camera_lane.globalStamp.lng, _x.camera_lane.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera_lane.globalStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera_lane.globalStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera_lane.globalStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera_lane.globalStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 404\\n (_x.camera_lane.l_numoflaneline, _x.camera_lane.l_lanelineid, _x.camera_lane.l_lanepositon, _x.camera_lane.l_lanecurvature, _x.camera_lane.l_lanecurvaturederivative, _x.camera_lane.l_lane_type, _x.camera_lane.l_heading_angle, _x.camera_lane.l_lane_mark_color, _x.camera_lane.l_laneQuality, _x.camera_lane.l_laneWidthMarking, _x.camera_lane.l_laneViewRangStart, _x.camera_lane.l_laneViewRangEnd, _x.camera_lane.l_laneCrossing, _x.camera_lane.l_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.l_lanePRED_OTHER_SIDE, _x.camera_lane.l_lanePRED_OVERRIDE, _x.camera_lane.l_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.l_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.l_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.l_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.l_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.l_lanePRED_SOURCE_STD, _x.camera_lane.l_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.l_laneTCL, _x.camera_lane.r_numoflaneline, _x.camera_lane.r_lanelineid, _x.camera_lane.r_lanepositon, _x.camera_lane.r_lanecurvature, _x.camera_lane.r_lanecurvaturederivative, _x.camera_lane.r_lane_type, _x.camera_lane.r_heading_angle, _x.camera_lane.r_lane_mark_color, _x.camera_lane.r_laneQuality, _x.camera_lane.r_laneWidthMarking, _x.camera_lane.r_laneViewRangStart, _x.camera_lane.r_laneViewRangEnd, _x.camera_lane.r_laneCrossing, _x.camera_lane.r_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.r_lanePRED_OTHER_SIDE, _x.camera_lane.r_lanePRED_OVERRIDE, _x.camera_lane.r_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.r_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.r_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.r_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.r_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.r_lanePRED_SOURCE_STD, _x.camera_lane.r_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.r_laneTCL, _x.camera_lane.next_l_laneViewRangStart, _x.camera_lane.next_l_laneViewRangEnd, _x.camera_lane.next_l_numoflaneline, _x.camera_lane.next_l_lanelineid, _x.camera_lane.next_l_lanepositon, _x.camera_lane.next_l_lanecurvature, _x.camera_lane.next_l_lanecurvaturederivative, _x.camera_lane.next_l_lane_type, _x.camera_lane.next_l_heading_angle, _x.camera_lane.next_l_lane_mark_color, _x.camera_lane.next_l_laneQuality, _x.camera_lane.next_l_laneWidthMarking, _x.camera_lane.next_r_laneViewRangStart, _x.camera_lane.next_r_laneViewRangEnd, _x.camera_lane.next_r_numoflaneline, _x.camera_lane.next_r_lanelineid, _x.camera_lane.next_r_lanepositon, _x.camera_lane.next_r_lanecurvature, _x.camera_lane.next_r_lanecurvaturederivative, _x.camera_lane.next_r_lane_type, _x.camera_lane.next_r_heading_angle, _x.camera_lane.next_r_lane_mark_color, _x.camera_lane.next_r_laneQuality, _x.camera_lane.next_r_laneWidthMarking, _x.camera_lane.highwayConstructionArea, _x.camera_lane.highwayRoadType, _x.camera_lane.highwayHighwayExitRight, _x.camera_lane.highwayHighwayExitLeft, _x.camera_lane.highwayProbabilityLeftLane, _x.camera_lane.highwayProbabilityRightLane, _x.camera_lane.highwayDriving_peed_left_lane, _x.camera_lane.highwayDriving_peed_right_lane, _x.camera_lane.highwayprotocol_version,) = _get_struct_2i3did19i3did21i3did7i3did7i4di().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 32\\n (_x.distance_front, _x.angle_front, _x.distance_back, _x.angle_back, _x.turn_left,) = _struct_didid.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.turn_left_sensor = str[start:end]\\n start = end\\n end += 8\\n (self.turn_right,) = _struct_d.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.turn_right_sensor = str[start:end]\\n return self\\n except struct.error as e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg._Header.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 51\\n (_x.temp_1_curr, _x.temp_1_min, _x.temp_1_max, _x.temp_2_curr, _x.temp_2_min, _x.temp_2_max, _x.temp_3_curr, _x.temp_3_min, _x.temp_3_max, _x.temp_4_curr, _x.temp_4_min, _x.temp_4_max, _x.temp_5_curr, _x.temp_5_min, _x.temp_5_max, _x.temp_6_curr, _x.temp_6_min, _x.temp_6_max, _x.akku_voltage_curr, _x.akku_voltage_min, _x.akku_voltage_max, _x.hals_motor_voltage_curr, _x.hals_motor_voltage_min, _x.hals_motor_voltage_max, _x.hals_logik_voltage_curr, _x.hals_logik_voltage_min, _x.hals_logik_voltage_max, _x.tablett_logik_voltage_curr, _x.tablett_logik_voltage_min, _x.tablett_logik_voltage_max, _x.arm_logik_voltage_curr, _x.arm_logik_voltage_min, _x.arm_logik_voltage_max, _x.tablett_motor_voltage_curr, _x.tablett_motor_voltage_min, _x.tablett_motor_voltage_max, _x.hals_motor_current_curr, _x.hals_motor_current_min, _x.hals_motor_current_max, _x.hals_logik_current_curr, _x.hals_logik_current_min, _x.hals_logik_current_max, _x.tablett_logik_current_curr, _x.tablett_logik_current_min, _x.tablett_logik_current_max, _x.arm_logik_current_curr, _x.arm_logik_current_min, _x.arm_logik_current_max, _x.tablett_motor_current_curr, _x.tablett_motor_current_min, _x.tablett_motor_current_max,) = _struct_51B.unpack(str[start:end])\\n return self\\n except struct.error, e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n if python3:\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.graspable_objects is None:\\n self.graspable_objects = None\\n if self.image is None:\\n self.image = sensor_msgs.msg.Image()\\n if self.camera_info is None:\\n self.camera_info = sensor_msgs.msg.CameraInfo()\\n if self.meshes is None:\\n self.meshes = None\\n if self.reference_to_camera is None:\\n self.reference_to_camera = geometry_msgs.msg.Pose()\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.graspable_objects = []\\n for i in range(0, length):\\n val1 = manipulation_msgs.msg.GraspableObject()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.reference_frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1.reference_frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.potential_models = []\\n for i in range(0, length):\\n val2 = household_objects_database_msgs.msg.DatabaseModelPose()\\n start = end\\n end += 4\\n (val2.model_id,) = _get_struct_i().unpack(str[start:end])\\n _v94 = val2.type\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v94.key = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v94.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v94.db = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v94.db = str[start:end]\\n _v95 = val2.pose\\n _v96 = _v95.header\\n start = end\\n end += 4\\n (_v96.seq,) = _get_struct_I().unpack(str[start:end])\\n _v97 = _v96.stamp\\n _x = _v97\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v96.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v96.frame_id = str[start:end]\\n _v98 = _v95.pose\\n _v99 = _v98.position\\n _x = _v99\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v100 = _v98.orientation\\n _x = _v100\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val2.confidence,) = _get_struct_f().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.detector_name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val2.detector_name = str[start:end]\\n val1.potential_models.append(val2)\\n _v101 = val1.cluster\\n _v102 = _v101.header\\n start = end\\n end += 4\\n (_v102.seq,) = _get_struct_I().unpack(str[start:end])\\n _v103 = _v102.stamp\\n _x = _v103\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v102.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v102.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v101.points = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Point32()\\n _x = val3\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _get_struct_3f().unpack(str[start:end])\\n _v101.points.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v101.channels = []\\n for i in range(0, length):\\n val3 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val3.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n val3.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n _v101.channels.append(val3)\\n _v104 = val1.region\\n _v105 = _v104.cloud\\n _v106 = _v105.header\\n start = end\\n end += 4\\n (_v106.seq,) = _get_struct_I().unpack(str[start:end])\\n _v107 = _v106.stamp\\n _x = _v107\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v106.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v106.frame_id = str[start:end]\\n _x = _v105\\n start = end\\n end += 8\\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v105.fields = []\\n for i in range(0, length):\\n val4 = sensor_msgs.msg.PointField()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val4.name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val4.name = str[start:end]\\n _x = val4\\n start = end\\n end += 9\\n (_x.offset, _x.datatype, _x.count,) = _get_struct_IBI().unpack(str[start:end])\\n _v105.fields.append(val4)\\n _x = _v105\\n start = end\\n end += 9\\n (_x.is_bigendian, _x.point_step, _x.row_step,) = _get_struct_B2I().unpack(str[start:end])\\n _v105.is_bigendian = bool(_v105.is_bigendian)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v105.data = str[start:end]\\n start = end\\n end += 1\\n (_v105.is_dense,) = _get_struct_B().unpack(str[start:end])\\n _v105.is_dense = bool(_v105.is_dense)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n _v104.mask = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n _v108 = _v104.image\\n _v109 = _v108.header\\n start = end\\n end += 4\\n (_v109.seq,) = _get_struct_I().unpack(str[start:end])\\n _v110 = _v109.stamp\\n _x = _v110\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v109.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v109.frame_id = str[start:end]\\n _x = _v108\\n start = end\\n end += 8\\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v108.encoding = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v108.encoding = str[start:end]\\n _x = _v108\\n start = end\\n end += 5\\n (_x.is_bigendian, _x.step,) = _get_struct_BI().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v108.data = str[start:end]\\n _v111 = _v104.disparity_image\\n _v112 = _v111.header\\n start = end\\n end += 4\\n (_v112.seq,) = _get_struct_I().unpack(str[start:end])\\n _v113 = _v112.stamp\\n _x = _v113\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v112.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v112.frame_id = str[start:end]\\n _x = _v111\\n start = end\\n end += 8\\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v111.encoding = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v111.encoding = str[start:end]\\n _x = _v111\\n start = end\\n end += 5\\n (_x.is_bigendian, _x.step,) = _get_struct_BI().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v111.data = str[start:end]\\n _v114 = _v104.cam_info\\n _v115 = _v114.header\\n start = end\\n end += 4\\n (_v115.seq,) = _get_struct_I().unpack(str[start:end])\\n _v116 = _v115.stamp\\n _x = _v116\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v115.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v115.frame_id = str[start:end]\\n _x = _v114\\n start = end\\n end += 8\\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v114.distortion_model = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v114.distortion_model = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n _v114.D = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 72\\n _v114.K = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\\n start = end\\n end += 72\\n _v114.R = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\\n start = end\\n end += 96\\n _v114.P = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=12)\\n _x = _v114\\n start = end\\n end += 8\\n (_x.binning_x, _x.binning_y,) = _get_struct_2I().unpack(str[start:end])\\n _v117 = _v114.roi\\n _x = _v117\\n start = end\\n end += 17\\n (_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify,) = _get_struct_4IB().unpack(str[start:end])\\n _v117.do_rectify = bool(_v117.do_rectify)\\n _v118 = _v104.roi_box_pose\\n _v119 = _v118.header\\n start = end\\n end += 4\\n (_v119.seq,) = _get_struct_I().unpack(str[start:end])\\n _v120 = _v119.stamp\\n _x = _v120\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v119.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v119.frame_id = str[start:end]\\n _v121 = _v118.pose\\n _v122 = _v121.position\\n _x = _v122\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v123 = _v121.orientation\\n _x = _v123\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v124 = _v104.roi_box_dims\\n _x = _v124\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.collision_name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1.collision_name = str[start:end]\\n self.graspable_objects.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.image.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.image.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.image.height, _x.image.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.image.encoding = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.image.encoding = str[start:end]\\n _x = self\\n start = end\\n end += 5\\n (_x.image.is_bigendian, _x.image.step,) = _get_struct_BI().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.image.data = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.camera_info.header.seq, _x.camera_info.header.stamp.secs, _x.camera_info.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_info.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.camera_info.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.camera_info.height, _x.camera_info.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_info.distortion_model = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.camera_info.distortion_model = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.camera_info.D = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 72\\n self.camera_info.K = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\\n start = end\\n end += 72\\n self.camera_info.R = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\\n start = end\\n end += 96\\n self.camera_info.P = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=12)\\n _x = self\\n start = end\\n end += 25\\n (_x.camera_info.binning_x, _x.camera_info.binning_y, _x.camera_info.roi.x_offset, _x.camera_info.roi.y_offset, _x.camera_info.roi.height, _x.camera_info.roi.width, _x.camera_info.roi.do_rectify,) = _get_struct_6IB().unpack(str[start:end])\\n self.camera_info.roi.do_rectify = bool(self.camera_info.roi.do_rectify)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.meshes = []\\n for i in range(0, length):\\n val1 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.triangles = []\\n for i in range(0, length):\\n val2 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val2.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val1.triangles.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.vertices = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Point()\\n _x = val2\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val1.vertices.append(val2)\\n self.meshes.append(val1)\\n _x = self\\n start = end\\n end += 56\\n (_x.reference_to_camera.position.x, _x.reference_to_camera.position.y, _x.reference_to_camera.position.z, _x.reference_to_camera.orientation.x, _x.reference_to_camera.orientation.y, _x.reference_to_camera.orientation.z, _x.reference_to_camera.orientation.w,) = _get_struct_7d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.Class = str[start:end].decode('utf-8')\\n else:\\n self.Class = str[start:end]\\n _x = self\\n start = end\\n end += 40\\n (_x.probability, _x.xmin, _x.ymin, _x.xmax, _x.ymax,) = _get_struct_d4q().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.p1 is None:\\n self.p1 = geometry_msgs.msg.PointStamped()\\n if self.p2 is None:\\n self.p2 = geometry_msgs.msg.PointStamped()\\n if self.p3 is None:\\n self.p3 = geometry_msgs.msg.PointStamped()\\n if self.p4 is None:\\n self.p4 = geometry_msgs.msg.PointStamped()\\n end = 0\\n _x = self\\n start = end\\n end += 16\\n (_x.s1, _x.s2, _x.s3, _x.s4, _x.p1.header.seq, _x.p1.header.stamp.secs, _x.p1.header.stamp.nsecs,) = _struct_4B3I.unpack(str[start:end])\\n self.s1 = bool(self.s1)\\n self.s2 = bool(self.s2)\\n self.s3 = bool(self.s3)\\n self.s4 = bool(self.s4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.p1.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.p1.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 36\\n (_x.p1.point.x, _x.p1.point.y, _x.p1.point.z, _x.p2.header.seq, _x.p2.header.stamp.secs, _x.p2.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.p2.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.p2.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 36\\n (_x.p2.point.x, _x.p2.point.y, _x.p2.point.z, _x.p3.header.seq, _x.p3.header.stamp.secs, _x.p3.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.p3.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.p3.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 36\\n (_x.p3.point.x, _x.p3.point.y, _x.p3.point.z, _x.p4.header.seq, _x.p4.header.stamp.secs, _x.p4.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.p4.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.p4.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 24\\n (_x.p4.point.x, _x.p4.point.y, _x.p4.point.z,) = _struct_3d.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 69\\n (_x.Timestamp_sec, _x.Timestamp_nsec, _x.IdModulo, _x.InputVolA, _x.InputVolB, _x.InputCorrA, _x.InputCorrB, _x.OutputAnlg1, _x.OutputAnlg2, _x.InputDig1, _x.InputDig2, _x.InputDig3, _x.InputDig4, _x.OutputDig1, _x.OutputDig2, _x.OutputDig3, _x.OutputDig4, _x.OutputDig5, _x.OutputDig6, _x.OutputDig7, _x.OutputDig8,) = _get_struct_2ib6d12B().unpack(str[start:end])\\n self.InputDig1 = bool(self.InputDig1)\\n self.InputDig2 = bool(self.InputDig2)\\n self.InputDig3 = bool(self.InputDig3)\\n self.InputDig4 = bool(self.InputDig4)\\n self.OutputDig1 = bool(self.OutputDig1)\\n self.OutputDig2 = bool(self.OutputDig2)\\n self.OutputDig3 = bool(self.OutputDig3)\\n self.OutputDig4 = bool(self.OutputDig4)\\n self.OutputDig5 = bool(self.OutputDig5)\\n self.OutputDig6 = bool(self.OutputDig6)\\n self.OutputDig7 = bool(self.OutputDig7)\\n self.OutputDig8 = bool(self.OutputDig8)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 40\\n (_x.h_min, _x.h_max, _x.s_min, _x.s_max, _x.v_min, _x.v_max,) = _get_struct_2I4d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.pan is None:\\n self.pan = movo_msgs.msg.PanTiltActuatorFdbk()\\n if self.tilt is None:\\n self.tilt = movo_msgs.msg.PanTiltActuatorFdbk()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.pan.header.seq, _x.pan.header.stamp.secs, _x.pan.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.pan.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.pan.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 64\\n (_x.pan.current, _x.pan.pos_rad, _x.pan.vel_rps, _x.pan.torque_nm, _x.pan.pwm, _x.pan.encoder_rad, _x.pan.accel.x, _x.pan.accel.y, _x.pan.accel.z, _x.pan.temperature_degC, _x.tilt.header.seq, _x.tilt.header.stamp.secs, _x.tilt.header.stamp.nsecs,) = _struct_6f3df3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.tilt.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.tilt.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 52\\n (_x.tilt.current, _x.tilt.pos_rad, _x.tilt.vel_rps, _x.tilt.torque_nm, _x.tilt.pwm, _x.tilt.encoder_rad, _x.tilt.accel.x, _x.tilt.accel.y, _x.tilt.accel.z, _x.tilt.temperature_degC,) = _struct_6f3df.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.object1 = str[start:end].decode('utf-8')\\n else:\\n self.object1 = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.object2 = str[start:end].decode('utf-8')\\n else:\\n self.object2 = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.penetration_distance, _x.operation,) = _struct_di.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (self.numberOfTSPTurtles,) = _get_struct_i().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.des_gripper_pose is None:\\n self.des_gripper_pose = geometry_msgs.msg.PoseStamped()\\n if self.object_pose is None:\\n self.object_pose = geometry_msgs.msg.PoseStamped()\\n end = 0\\n _x = self\\n start = end\\n end += 20\\n (_x.manip_return_code, _x.object_grabber_return_code, _x.des_gripper_pose.header.seq, _x.des_gripper_pose.header.stamp.secs, _x.des_gripper_pose.header.stamp.nsecs,) = _get_struct_2i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.des_gripper_pose.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.des_gripper_pose.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 72\\n (_x.des_gripper_pose.pose.position.x, _x.des_gripper_pose.pose.position.y, _x.des_gripper_pose.pose.position.z, _x.des_gripper_pose.pose.orientation.x, _x.des_gripper_pose.pose.orientation.y, _x.des_gripper_pose.pose.orientation.z, _x.des_gripper_pose.pose.orientation.w, _x.object_finder_return_code, _x.object_pose.header.seq, _x.object_pose.header.stamp.secs, _x.object_pose.header.stamp.nsecs,) = _get_struct_7di3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.object_pose.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.object_pose.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 56\\n (_x.object_pose.pose.position.x, _x.object_pose.pose.position.y, _x.object_pose.pose.position.z, _x.object_pose.pose.orientation.x, _x.object_pose.pose.orientation.y, _x.object_pose.pose.orientation.z, _x.object_pose.pose.orientation.w,) = _get_struct_7d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.polygons is None:\\n self.polygons = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.polygons = []\\n for i in range(0, length):\\n val1 = cob_3d_mapping_msgs.msg.CurvedPolygon()\\n _v4 = val1.stamp\\n _x = _v4\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (val1.ID,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += 24\\n val1.parameter = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=6)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.score = []\\n for i in range(0, length):\\n val2 = cob_3d_mapping_msgs.msg.SimilarityScore()\\n _x = val2\\n start = end\\n end += 8\\n (_x.ID, _x.prob,) = _struct_If.unpack(str[start:end])\\n val1.score.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.polyline = []\\n for i in range(0, length):\\n val2 = cob_3d_mapping_msgs.msg.PolylinePoint()\\n _x = val2\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.edge_prob,) = _struct_3f.unpack(str[start:end])\\n val1.polyline.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.features = []\\n for i in range(0, length):\\n val2 = cob_3d_mapping_msgs.msg.Feature()\\n _x = val2\\n start = end\\n end += 16\\n (_x.x, _x.y, _x.z, _x.ID,) = _struct_3fI.unpack(str[start:end])\\n val1.features.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.energy = str[start:end].decode('utf-8')\\n else:\\n val1.energy = str[start:end]\\n start = end\\n end += 4\\n (val1.weight,) = _struct_f.unpack(str[start:end])\\n self.polygons.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.goal_id is None:\\n self.goal_id = actionlib_msgs.msg.GoalID()\\n if self.goal is None:\\n self.goal = coordinator.msg.ManipTaskGoal()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal_id.id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.goal_id.id = str[start:end]\\n _x = self\\n start = end\\n end += 20\\n (_x.goal.action_code, _x.goal.object_code, _x.goal.pickup_frame.header.seq, _x.goal.pickup_frame.header.stamp.secs, _x.goal.pickup_frame.header.stamp.nsecs,) = _get_struct_2i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.pickup_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.goal.pickup_frame.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.goal.pickup_frame.pose.position.x, _x.goal.pickup_frame.pose.position.y, _x.goal.pickup_frame.pose.position.z, _x.goal.pickup_frame.pose.orientation.x, _x.goal.pickup_frame.pose.orientation.y, _x.goal.pickup_frame.pose.orientation.z, _x.goal.pickup_frame.pose.orientation.w, _x.goal.dropoff_frame.header.seq, _x.goal.dropoff_frame.header.stamp.secs, _x.goal.dropoff_frame.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.dropoff_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.goal.dropoff_frame.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.goal.dropoff_frame.pose.position.x, _x.goal.dropoff_frame.pose.position.y, _x.goal.dropoff_frame.pose.position.z, _x.goal.dropoff_frame.pose.orientation.x, _x.goal.dropoff_frame.pose.orientation.y, _x.goal.dropoff_frame.pose.orientation.z, _x.goal.dropoff_frame.pose.orientation.w, _x.goal.gripper_goal_frame.header.seq, _x.goal.gripper_goal_frame.header.stamp.secs, _x.goal.gripper_goal_frame.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.gripper_goal_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.goal.gripper_goal_frame.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 60\\n (_x.goal.gripper_goal_frame.pose.position.x, _x.goal.gripper_goal_frame.pose.position.y, _x.goal.gripper_goal_frame.pose.position.z, _x.goal.gripper_goal_frame.pose.orientation.x, _x.goal.gripper_goal_frame.pose.orientation.y, _x.goal.gripper_goal_frame.pose.orientation.z, _x.goal.gripper_goal_frame.pose.orientation.w, _x.goal.perception_source,) = _get_struct_7di().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.name = str[start:end].decode('utf-8')\\n else:\\n self.name = str[start:end]\\n _x = self\\n start = end\\n end += 97\\n (_x.visible, _x.x, _x.y, _x.z, _x.u, _x.v, _x.w, _x.phi, _x.theta, _x.psi, _x.p, _x.q, _x.r,) = _struct_B12d.unpack(str[start:end])\\n self.visible = bool(self.visible)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.robot_id is None:\\n self.robot_id = opil_v2.msg.Id()\\n if self.agv_msg is None:\\n self.agv_msg = opil_v2.msg.RobotDescriptionAGV()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.robot_id.id,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.robot_id.description = str[start:end].decode('utf-8')\\n else:\\n self.robot_id.description = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.agv_msg.header.seq, _x.agv_msg.header.stamp.secs, _x.agv_msg.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.agv_msg.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.agv_msg.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.agv_msg.vehicle_id.id,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.agv_msg.vehicle_id.description = str[start:end].decode('utf-8')\\n else:\\n self.agv_msg.vehicle_id.description = str[start:end]\\n _x = self\\n start = end\\n end += 84\\n (_x.agv_msg.left_size, _x.agv_msg.right_size, _x.agv_msg.front_size, _x.agv_msg.rear_size, _x.agv_msg.min_height, _x.agv_msg.max_height, _x.agv_msg.payload, _x.agv_msg.max_pos_x_vel, _x.agv_msg.max_neg_x_vel, _x.agv_msg.max_pos_x_acc, _x.agv_msg.max_neg_x_acc, _x.agv_msg.max_pos_y_vel, _x.agv_msg.max_neg_y_vel, _x.agv_msg.max_pos_y_acc, _x.agv_msg.max_neg_y_acc, _x.agv_msg.max_pos_ang_vel, _x.agv_msg.max_neg_ang_vel, _x.agv_msg.velocity_control_sensitivity, _x.agv_msg.min_turning_radius, _x.agv_msg.batt_capacity, _x.agv_msg.batt_max_voltage,) = _get_struct_21f().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.agv_msg.vehicle_type = str[start:end].decode('utf-8')\\n else:\\n self.agv_msg.vehicle_type = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.agv_msg.vendor = str[start:end].decode('utf-8')\\n else:\\n self.agv_msg.vendor = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.agv_msg.action_capability = []\\n for i in range(0, length):\\n val1 = opil_v2.msg.RobotAction()\\n _x = val1\\n start = end\\n end += 2\\n (_x.category, _x.action,) = _get_struct_2B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.attributes = []\\n for i in range(0, length):\\n val2 = opil_v2.msg.Tuple()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.type = str[start:end].decode('utf-8')\\n else:\\n val2.type = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.value = str[start:end].decode('utf-8')\\n else:\\n val2.value = str[start:end]\\n val1.attributes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.description = str[start:end].decode('utf-8')\\n else:\\n val1.description = str[start:end]\\n self.agv_msg.action_capability.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 11\\n (_x.partial_view, _x.resolution, _x.type, _x.use_simple_occlusion, _x.add_point_colors,) = _struct_B2i2B.unpack(str[start:end])\\n self.partial_view = bool(self.partial_view)\\n self.use_simple_occlusion = bool(self.use_simple_occlusion)\\n self.add_point_colors = bool(self.add_point_colors)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 44\\n (_x.date, _x.time, _x.longitude_RTK, _x.latitude_RTK, _x.height_above_sea_RTK, _x.velocity_north, _x.velocity_east, _x.velocity_ground, _x.yaw, _x.position_flag, _x.yaw_flag,) = _struct_2I2d4fh2B.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.t_start is None:\\n self.t_start = genpy.Time()\\n if self.duration is None:\\n self.duration = genpy.Duration()\\n end = 0\\n _x = self\\n start = end\\n end += 65\\n (_x.x, _x.y, _x.z, _x.yaw, _x.v_des, _x.a_des, _x.t_start.secs, _x.t_start.nsecs, _x.duration.secs, _x.duration.nsecs, _x.relative,) = _get_struct_6d2I2iB().unpack(str[start:end])\\n self.relative = bool(self.relative)\\n self.t_start.canon()\\n self.duration.canon()\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 24\\n self.thumb = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.index = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.middle = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.ring = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.little = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 64\\n (_x.max_features, _x.window_size, _x.quality, _x.min_distance, _x.harris, _x.size_block, _x.pyramid_lvl, _x.mask_border,) = _get_struct_2q3d3q().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.accelerometer is None:\\n self.accelerometer = None\\n if self.gyro is None:\\n self.gyro = None\\n if self.orientation is None:\\n self.orientation = None\\n if self.led_color is None:\\n self.led_color = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.name.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.position_command = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.velocity_command = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.effort_command = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.accelerometer = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Vector3()\\n _x = val1\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.accelerometer.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.gyro = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Vector3()\\n _x = val1\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.gyro.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.orientation = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Quaternion()\\n _x = val1\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n self.orientation.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.deflection = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.deflection_velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_current = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_winding_current = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_sensor_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_winding_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_housing_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.board_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.processor_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.voltage = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.led_color = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.ColorRGBA()\\n _x = val1\\n start = end\\n end += 16\\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\\n self.led_color.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.sequence_number = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.receive_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.transmit_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.hardware_receive_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.hardware_transmit_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 8\\n (self.time,) = _get_struct_d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.q_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.qd_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.qdd_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.i_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.m_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.q_actual = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.qd_actual = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.i_actual = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tool_acc_values = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tcp_force = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tool_vector = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tcp_speed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 8\\n (self.digital_input_bits,) = _get_struct_d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_temperatures = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 24\\n (_x.controller_timer, _x.test_value, _x.robot_mode,) = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.joint_modes = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.name = str[start:end].decode('utf-8')\\n else:\\n self.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.red_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.red_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.yellow_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.yellow_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.green_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.green_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.purple_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.purple_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.orange_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.orange_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.sensor_FL is None:\\n self.sensor_FL = sensor_msgs.msg.Range()\\n if self.sensor_FR is None:\\n self.sensor_FR = sensor_msgs.msg.Range()\\n if self.sensor_RR is None:\\n self.sensor_RR = sensor_msgs.msg.Range()\\n if self.sensor_RL is None:\\n self.sensor_RL = sensor_msgs.msg.Range()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.sensor_FL.header.seq, _x.sensor_FL.header.stamp.secs, _x.sensor_FL.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.sensor_FL.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.sensor_FL.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 29\\n (_x.sensor_FL.radiation_type, _x.sensor_FL.field_of_view, _x.sensor_FL.min_range, _x.sensor_FL.max_range, _x.sensor_FL.range, _x.sensor_FR.header.seq, _x.sensor_FR.header.stamp.secs, _x.sensor_FR.header.stamp.nsecs,) = _get_struct_B4f3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.sensor_FR.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.sensor_FR.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 29\\n (_x.sensor_FR.radiation_type, _x.sensor_FR.field_of_view, _x.sensor_FR.min_range, _x.sensor_FR.max_range, _x.sensor_FR.range, _x.sensor_RR.header.seq, _x.sensor_RR.header.stamp.secs, _x.sensor_RR.header.stamp.nsecs,) = _get_struct_B4f3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.sensor_RR.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.sensor_RR.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 29\\n (_x.sensor_RR.radiation_type, _x.sensor_RR.field_of_view, _x.sensor_RR.min_range, _x.sensor_RR.max_range, _x.sensor_RR.range, _x.sensor_RL.header.seq, _x.sensor_RL.header.stamp.secs, _x.sensor_RL.header.stamp.nsecs,) = _get_struct_B4f3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.sensor_RL.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.sensor_RL.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 17\\n (_x.sensor_RL.radiation_type, _x.sensor_RL.field_of_view, _x.sensor_RL.min_range, _x.sensor_RL.max_range, _x.sensor_RL.range,) = _get_struct_B4f().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.line is None:\\n self.line = None\\n if self.circle is None:\\n self.circle = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.id = str[start:end].decode('utf-8')\\n else:\\n self.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.line = []\\n for i in range(0, length):\\n val1 = krssg_ssl_msgs.msg.sslDebug_Line()\\n _x = val1\\n start = end\\n end += 20\\n (_x.x1, _x.y1, _x.x2, _x.y2, _x.color,) = _get_struct_4if().unpack(str[start:end])\\n self.line.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.circle = []\\n for i in range(0, length):\\n val1 = krssg_ssl_msgs.msg.sslDebug_Circle()\\n _x = val1\\n start = end\\n end += 16\\n (_x.x, _x.y, _x.radius, _x.color,) = _get_struct_3if().unpack(str[start:end])\\n self.circle.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (self.yaw,) = _struct_f.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.objects is None:\\n self.objects = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.objects = []\\n for i in range(0, length):\\n val1 = vision_msgs.msg.ClassifiedObject()\\n _v10 = val1.header\\n start = end\\n end += 4\\n (_v10.seq,) = _struct_I.unpack(str[start:end])\\n _v11 = _v10.stamp\\n _x = _v11\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v10.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v10.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.object_class = str[start:end].decode('utf-8')\\n else:\\n val1.object_class = str[start:end]\\n start = end\\n end += 4\\n (val1.confidence,) = _struct_f.unpack(str[start:end])\\n _v12 = val1.roi\\n _x = _v12\\n start = end\\n end += 17\\n (_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify,) = _struct_4IB.unpack(str[start:end])\\n _v12.do_rectify = bool(_v12.do_rectify)\\n self.objects.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 24\\n (_x.major_ax, _x.minor_ax, _x.coup_strength, _x.limit_cycle, _x.forward_velocity, _x.curvature,) = _struct_6f.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.x_offset = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.y_offset = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.coupling_1 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.coupling_2 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.coupling_3 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.coupling_4 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.coupling_5 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.coupling_6 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.obstacleinfo is None:\\n self.obstacleinfo = nubot_common.msg.ObstaclesInfo()\\n if self.oppinfo is None:\\n self.oppinfo = nubot_common.msg.ObstaclesInfo()\\n if self.robotinfo is None:\\n self.robotinfo = None\\n if self.ballinfo is None:\\n self.ballinfo = None\\n if self.coachinfo is None:\\n self.coachinfo = nubot_common.msg.CoachInfo()\\n if self.pass_cmd is None:\\n self.pass_cmd = nubot_common.msg.PassCommands()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.obstacleinfo.header.seq, _x.obstacleinfo.header.stamp.secs, _x.obstacleinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.obstacleinfo.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.obstacleinfo.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.obstacleinfo.pos = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.Point2d()\\n _x = val1\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n self.obstacleinfo.pos.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.obstacleinfo.polar_pos = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.PPoint()\\n _x = val1\\n start = end\\n end += 8\\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\\n self.obstacleinfo.polar_pos.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.oppinfo.header.seq, _x.oppinfo.header.stamp.secs, _x.oppinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.oppinfo.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.oppinfo.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.oppinfo.pos = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.Point2d()\\n _x = val1\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n self.oppinfo.pos.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.oppinfo.polar_pos = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.PPoint()\\n _x = val1\\n start = end\\n end += 8\\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\\n self.oppinfo.polar_pos.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.robotinfo = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.RobotInfo()\\n _v34 = val1.header\\n start = end\\n end += 4\\n (_v34.seq,) = _get_struct_I().unpack(str[start:end])\\n _v35 = _v34.stamp\\n _x = _v35\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v34.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v34.frame_id = str[start:end]\\n _x = val1\\n start = end\\n end += 28\\n (_x.AgentID, _x.targetNum1, _x.targetNum2, _x.targetNum3, _x.targetNum4, _x.staticpassNum, _x.staticcatchNum,) = _get_struct_7i().unpack(str[start:end])\\n _v36 = val1.pos\\n _x = _v36\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n _v37 = val1.heading\\n start = end\\n end += 4\\n (_v37.theta,) = _get_struct_f().unpack(str[start:end])\\n start = end\\n end += 4\\n (val1.vrot,) = _get_struct_f().unpack(str[start:end])\\n _v38 = val1.vtrans\\n _x = _v38\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n _x = val1\\n start = end\\n end += 9\\n (_x.iskick, _x.isvalid, _x.isstuck, _x.isdribble, _x.current_role, _x.role_time,) = _get_struct_5Bf().unpack(str[start:end])\\n val1.iskick = bool(val1.iskick)\\n val1.isvalid = bool(val1.isvalid)\\n val1.isstuck = bool(val1.isstuck)\\n val1.isdribble = bool(val1.isdribble)\\n _v39 = val1.target\\n _x = _v39\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n self.robotinfo.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.ballinfo = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.BallInfo()\\n _v40 = val1.header\\n start = end\\n end += 4\\n (_v40.seq,) = _get_struct_I().unpack(str[start:end])\\n _v41 = _v40.stamp\\n _x = _v41\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v40.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v40.frame_id = str[start:end]\\n start = end\\n end += 4\\n (val1.ballinfostate,) = _get_struct_i().unpack(str[start:end])\\n _v42 = val1.pos\\n _x = _v42\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n _v43 = val1.real_pos\\n _x = _v43\\n start = end\\n end += 8\\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\\n _v44 = val1.velocity\\n _x = _v44\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n _x = val1\\n start = end\\n end += 2\\n (_x.pos_known, _x.velocity_known,) = _get_struct_2B().unpack(str[start:end])\\n val1.pos_known = bool(val1.pos_known)\\n val1.velocity_known = bool(val1.velocity_known)\\n self.ballinfo.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.coachinfo.header.seq, _x.coachinfo.header.stamp.secs, _x.coachinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.coachinfo.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.coachinfo.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 54\\n (_x.coachinfo.MatchMode, _x.coachinfo.MatchType, _x.coachinfo.TestMode, _x.coachinfo.pointA.x, _x.coachinfo.pointA.y, _x.coachinfo.pointB.x, _x.coachinfo.pointB.y, _x.coachinfo.angleA, _x.coachinfo.angleB, _x.coachinfo.idA, _x.coachinfo.idB, _x.coachinfo.kickforce, _x.pass_cmd.pass_id, _x.pass_cmd.catch_id, _x.pass_cmd.pass_pt.x, _x.pass_cmd.pass_pt.y, _x.pass_cmd.catch_pt.x, _x.pass_cmd.catch_pt.y, _x.pass_cmd.is_passout, _x.pass_cmd.is_dynamic_pass, _x.pass_cmd.is_static_pass, _x.pass_cmd.is_valid,) = _get_struct_3B4f2h3B2I4f4B().unpack(str[start:end])\\n self.pass_cmd.is_passout = bool(self.pass_cmd.is_passout)\\n self.pass_cmd.is_dynamic_pass = bool(self.pass_cmd.is_dynamic_pass)\\n self.pass_cmd.is_static_pass = bool(self.pass_cmd.is_static_pass)\\n self.pass_cmd.is_valid = bool(self.pass_cmd.is_valid)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.home is None:\\n self.home = flyaq.msg.Coordinate()\\n if self.movements is None:\\n self.movements = None\\n if self.move_transitions is None:\\n self.move_transitions = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.name = str[start:end].decode('utf-8')\\n else:\\n self.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.type_name = str[start:end].decode('utf-8')\\n else:\\n self.type_name = str[start:end]\\n _x = self\\n start = end\\n end += 16\\n (_x.home.latitude, _x.home.longitude, _x.home.altitude, _x.home.heading,) = _struct_4f.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.movements = []\\n for i in range(0, length):\\n val1 = flyaq.msg.Move()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 1\\n (val1.type,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.pre_actions = []\\n for i in range(0, length):\\n val2 = flyaq.msg.Action()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 1\\n (val2.type,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.action_name = str[start:end].decode('utf-8')\\n else:\\n val2.action_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.parameters = []\\n for i in range(0, length):\\n val3 = flyaq.msg.Parameter()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.parameters.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.slot_name = str[start:end].decode('utf-8')\\n else:\\n val2.slot_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.receivers_name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.receivers_name.append(val3)\\n val1.pre_actions.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.post_actions = []\\n for i in range(0, length):\\n val2 = flyaq.msg.Action()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 1\\n (val2.type,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.action_name = str[start:end].decode('utf-8')\\n else:\\n val2.action_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.parameters = []\\n for i in range(0, length):\\n val3 = flyaq.msg.Parameter()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.parameters.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.slot_name = str[start:end].decode('utf-8')\\n else:\\n val2.slot_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.receivers_name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.receivers_name.append(val3)\\n val1.post_actions.append(val2)\\n start = end\\n end += 4\\n (val1.altitude,) = _struct_f.unpack(str[start:end])\\n _v7 = val1.target_position\\n _x = _v7\\n start = end\\n end += 16\\n (_x.latitude, _x.longitude, _x.altitude, _x.heading,) = _struct_4f.unpack(str[start:end])\\n start = end\\n end += 1\\n (val1.strategy,) = _struct_b.unpack(str[start:end])\\n _v8 = val1.duration\\n _x = _v8\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2i.unpack(str[start:end])\\n _x = val1\\n start = end\\n end += 13\\n (_x.radius, _x.circle_altitude, _x.clockwise, _x.direction,) = _struct_2fBf.unpack(str[start:end])\\n val1.clockwise = bool(val1.clockwise)\\n self.movements.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.move_transitions = []\\n for i in range(0, length):\\n val1 = flyaq.msg.MoveTransition()\\n start = end\\n end += 1\\n (val1.is_choice,) = _struct_B.unpack(str[start:end])\\n val1.is_choice = bool(val1.is_choice)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.wait_for_slot_name = str[start:end].decode('utf-8')\\n else:\\n val1.wait_for_slot_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.from_move_name = str[start:end].decode('utf-8')\\n else:\\n val1.from_move_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.to_move_name = str[start:end].decode('utf-8')\\n else:\\n val1.to_move_name = str[start:end]\\n start = end\\n end += 1\\n (val1.fluid,) = _struct_B.unpack(str[start:end])\\n val1.fluid = bool(val1.fluid)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.condition_identifier = str[start:end].decode('utf-8')\\n else:\\n val1.condition_identifier = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.false_branch_move_name = str[start:end].decode('utf-8')\\n else:\\n val1.false_branch_move_name = str[start:end]\\n self.move_transitions.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.slot_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.slot_names.append(val1)\\n start = end\\n end += 1\\n (self.travel_mode,) = _struct_b.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 2580\\n self.Rscanpose = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=645)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 41\\n (_x.enable_steering, _x.enable_braking, _x.enable_driving, _x.enable_Estop, _x.enable_gear, _x.sw_deg, _x.sw_rad, _x.speed_ms, _x.speed_kms, _x.ax_ms2, _x.omega_rad, _x.gear_mode, _x.steering, _x.speed,) = _get_struct_5B6fi2f().unpack(str[start:end])\\n self.enable_steering = bool(self.enable_steering)\\n self.enable_braking = bool(self.enable_braking)\\n self.enable_driving = bool(self.enable_driving)\\n self.enable_Estop = bool(self.enable_Estop)\\n self.enable_gear = bool(self.enable_gear)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.sensor_pose_on_robot is None:\\n self.sensor_pose_on_robot = geometry_msgs.msg.Pose()\\n if self.sensed_data is None:\\n self.sensed_data = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 96\\n (_x.sensor_pose_on_robot.position.x, _x.sensor_pose_on_robot.position.y, _x.sensor_pose_on_robot.position.z, _x.sensor_pose_on_robot.orientation.x, _x.sensor_pose_on_robot.orientation.y, _x.sensor_pose_on_robot.orientation.z, _x.sensor_pose_on_robot.orientation.w, _x.min_sensor_distance, _x.max_sensor_distance, _x.sensor_std_range, _x.sensor_std_yaw, _x.sensor_std_pitch,) = _get_struct_12d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.sensed_data = []\\n for i in range(0, length):\\n val1 = mrpt_msgs.msg.SingleRangeBearingObservation()\\n _x = val1\\n start = end\\n end += 28\\n (_x.range, _x.yaw, _x.pitch, _x.id,) = _get_struct_3di().unpack(str[start:end])\\n self.sensed_data.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.Front_sens is None:\\n self.Front_sens = motor_sc.msg.sens9ax()\\n if self.Rear_sens is None:\\n self.Rear_sens = motor_sc.msg.sens9ax()\\n end = 0\\n _x = self\\n start = end\\n end += 9\\n (_x.Front_sens.ID, _x.Front_sens.timestamp,) = _get_struct_BQ().unpack(str[start:end])\\n start = end\\n end += 24\\n self.Front_sens.compass = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.Front_sens.gyro = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.Front_sens.accel = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.Front_sens.fusionPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 32\\n self.Front_sens.fusionQPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\\n _x = self\\n start = end\\n end += 9\\n (_x.Rear_sens.ID, _x.Rear_sens.timestamp,) = _get_struct_BQ().unpack(str[start:end])\\n start = end\\n end += 24\\n self.Rear_sens.compass = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.Rear_sens.gyro = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.Rear_sens.accel = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.Rear_sens.fusionPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 32\\n self.Rear_sens.fusionQPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.cnt is None:\\n self.cnt = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.cnt = []\\n for i in range(0, length):\\n val1 = dgvmsg.msg.Encounter()\\n _v10 = val1.header\\n start = end\\n end += 4\\n (_v10.seq,) = _get_struct_I().unpack(str[start:end])\\n _v11 = _v10.stamp\\n _x = _v11\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v10.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v10.frame_id = str[start:end]\\n start = end\\n end += 4\\n (val1.devadd,) = _get_struct_i().unpack(str[start:end])\\n _v12 = val1.now\\n _x = _v12\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (val1.encounter,) = _get_struct_I().unpack(str[start:end])\\n self.cnt.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.group = str[start:end].decode('utf-8')\\n else:\\n self.group = str[start:end]\\n _x = self\\n start = end\\n end += 2\\n (_x.rand_start, _x.current_start,) = _get_struct_2B().unpack(str[start:end])\\n self.rand_start = bool(self.rand_start)\\n self.current_start = bool(self.current_start)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.start_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n start = end\\n end += 1\\n (self.rand_target,) = _get_struct_B().unpack(str[start:end])\\n self.rand_target = bool(self.rand_target)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.target_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n _x = self\\n start = end\\n end += 4\\n (_x.execute, _x.wait, _x.ret_plan, _x.ret_fps,) = _get_struct_3Bb().unpack(str[start:end])\\n self.execute = bool(self.execute)\\n self.wait = bool(self.wait)\\n self.ret_plan = bool(self.ret_plan)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.goal_id is None:\\n self.goal_id = actionlib_msgs.msg.GoalID()\\n if self.goal is None:\\n self.goal = moveit_msgs.msg.MoveGroupGoal()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal_id.id = str[start:end].decode('utf-8')\\n else:\\n self.goal_id.id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.request.workspace_parameters.header.seq, _x.goal.request.workspace_parameters.header.stamp.secs, _x.goal.request.workspace_parameters.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.workspace_parameters.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.workspace_parameters.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 60\\n (_x.goal.request.workspace_parameters.min_corner.x, _x.goal.request.workspace_parameters.min_corner.y, _x.goal.request.workspace_parameters.min_corner.z, _x.goal.request.workspace_parameters.max_corner.x, _x.goal.request.workspace_parameters.max_corner.y, _x.goal.request.workspace_parameters.max_corner.z, _x.goal.request.start_state.joint_state.header.seq, _x.goal.request.start_state.joint_state.header.stamp.secs, _x.goal.request.start_state.joint_state.header.stamp.nsecs,) = _get_struct_6d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.start_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.start_state.joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.joint_state.name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.request.start_state.joint_state.name.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.request.start_state.joint_state.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.request.start_state.joint_state.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.request.start_state.joint_state.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.request.start_state.multi_dof_joint_state.header.seq, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.secs, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.start_state.multi_dof_joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.start_state.multi_dof_joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.request.start_state.multi_dof_joint_state.joint_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.transforms = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Transform()\\n _v445 = val1.translation\\n _x = _v445\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v446 = val1.rotation\\n _x = _v446\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.transforms.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.twist = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Twist()\\n _v447 = val1.linear\\n _x = _v447\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v448 = val1.angular\\n _x = _v448\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.twist.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.wrench = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Wrench()\\n _v449 = val1.force\\n _x = _v449\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v450 = val1.torque\\n _x = _v450\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.wrench.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.attached_collision_objects = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.AttachedCollisionObject()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _v451 = val1.object\\n _v452 = _v451.header\\n start = end\\n end += 4\\n (_v452.seq,) = _get_struct_I().unpack(str[start:end])\\n _v453 = _v452.stamp\\n _x = _v453\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v452.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v452.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v451.id = str[start:end].decode('utf-8')\\n else:\\n _v451.id = str[start:end]\\n _v454 = _v451.type\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v454.key = str[start:end].decode('utf-8')\\n else:\\n _v454.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v454.db = str[start:end].decode('utf-8')\\n else:\\n _v454.db = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.primitives = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val3.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v451.primitives.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.primitive_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v455 = val3.position\\n _x = _v455\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v456 = val3.orientation\\n _x = _v456\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v451.primitive_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.meshes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.triangles = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val4.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val3.triangles.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.vertices = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Point()\\n _x = val4\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val3.vertices.append(val4)\\n _v451.meshes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.mesh_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v457 = val3.position\\n _x = _v457\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v458 = val3.orientation\\n _x = _v458\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v451.mesh_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.planes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Plane()\\n start = end\\n end += 32\\n val3.coef = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\\n _v451.planes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.plane_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v459 = val3.position\\n _x = _v459\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v460 = val3.orientation\\n _x = _v460\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v451.plane_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.subframe_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n _v451.subframe_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.subframe_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v461 = val3.position\\n _x = _v461\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v462 = val3.orientation\\n _x = _v462\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v451.subframe_poses.append(val3)\\n start = end\\n end += 1\\n (_v451.operation,) = _get_struct_b().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.touch_links = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.touch_links.append(val2)\\n _v463 = val1.detach_posture\\n _v464 = _v463.header\\n start = end\\n end += 4\\n (_v464.seq,) = _get_struct_I().unpack(str[start:end])\\n _v465 = _v464.stamp\\n _x = _v465\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v464.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v464.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v463.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n _v463.joint_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v463.points = []\\n for i in range(0, length):\\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.positions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.velocities = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.accelerations = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v466 = val3.time_from_start\\n _x = _v466\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\\n _v463.points.append(val3)\\n start = end\\n end += 8\\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\\n self.goal.request.start_state.attached_collision_objects.append(val1)\\n start = end\\n end += 1\\n (self.goal.request.start_state.is_diff,) = _get_struct_B().unpack(str[start:end])\\n self.goal.request.start_state.is_diff = bool(self.goal.request.start_state.is_diff)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.goal_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.Constraints()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.joint_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.JointConstraint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.joint_name = str[start:end].decode('utf-8')\\n else:\\n val2.joint_name = str[start:end]\\n _x = val2\\n start = end\\n end += 32\\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n val1.joint_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.position_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.PositionConstraint()\\n _v467 = val2.header\\n start = end\\n end += 4\\n (_v467.seq,) = _get_struct_I().unpack(str[start:end])\\n _v468 = _v467.stamp\\n _x = _v468\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v467.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v467.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.link_name = str[start:end].decode('utf-8')\\n else:\\n val2.link_name = str[start:end]\\n _v469 = val2.target_point_offset\\n _x = _v469\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v470 = val2.constraint_region\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v470.primitives = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val4.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val4.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v470.primitives.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v470.primitive_poses = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Pose()\\n _v471 = val4.position\\n _x = _v471\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v472 = val4.orientation\\n _x = _v472\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v470.primitive_poses.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v470.meshes = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val4.triangles = []\\n for i in range(0, length):\\n val5 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val5.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val4.triangles.append(val5)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val4.vertices = []\\n for i in range(0, length):\\n val5 = geometry_msgs.msg.Point()\\n _x = val5\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val4.vertices.append(val5)\\n _v470.meshes.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v470.mesh_poses = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Pose()\\n _v473 = val4.position\\n _x = _v473\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v474 = val4.orientation\\n _x = _v474\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v470.mesh_poses.append(val4)\\n start = end\\n end += 8\\n (val2.weight,) = _get_struct_d().unpack(str[start:end])\\n val1.position_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.orientation_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.OrientationConstraint()\\n _v475 = val2.header\\n start = end\\n end += 4\\n (_v475.seq,) = _get_struct_I().unpack(str[start:end])\\n _v476 = _v475.stamp\\n _x = _v476\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v475.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v475.frame_id = str[start:end]\\n _v477 = val2.orientation\\n _x = _v477\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.link_name = str[start:end].decode('utf-8')\\n else:\\n val2.link_name = str[start:end]\\n _x = val2\\n start = end\\n end += 32\\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n val1.orientation_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.visibility_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.VisibilityConstraint()\\n start = end\\n end += 8\\n (val2.target_radius,) = _get_struct_d().unpack(str[start:end])\\n _v478 = val2.target_pose\\n _v479 = _v478.header\\n start = end\\n end += 4\\n (_v479.seq,) = _get_struct_I().unpack(str[start:end])\\n _v480 = _v479.stamp\\n _x = _v480\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v479.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v479.frame_id = str[start:end]\\n _v481 = _v478.pose\\n _v482 = _v481.position\\n _x = _v482\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v483 = _v481.orientation\\n _x = _v483\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val2.cone_sides,) = _get_struct_i().unpack(str[start:end])\\n _v484 = val2.sensor_pose\\n _v485 = _v484.header\\n start = end\\n end += 4\\n (_v485.seq,) = _get_struct_I().unpack(str[start:end])\\n _v486 = _v485.stamp\\n _x = _v486\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v485.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v485.frame_id = str[start:end]\\n _v487 = _v484.pose\\n _v488 = _v487.position\\n _x = _v488\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v489 = _v487.orientation\\n _x = _v489\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _x = val2\\n start = end\\n end += 25\\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\\n val1.visibility_constraints.append(val2)\\n self.goal.request.goal_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.path_constraints.name = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.path_constraints.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.path_constraints.joint_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.JointConstraint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.joint_name = str[start:end].decode('utf-8')\\n else:\\n val1.joint_name = str[start:end]\\n _x = val1\\n start = end\\n end += 32\\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.request.path_constraints.joint_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.path_constraints.position_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.PositionConstraint()\\n _v490 = val1.header\\n start = end\\n end += 4\\n (_v490.seq,) = _get_struct_I().unpack(str[start:end])\\n _v491 = _v490.stamp\\n _x = _v491\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v490.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v490.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _v492 = val1.target_point_offset\\n _x = _v492\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v493 = val1.constraint_region\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v493.primitives = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val3.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v493.primitives.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v493.primitive_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v494 = val3.position\\n _x = _v494\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v495 = val3.orientation\\n _x = _v495\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v493.primitive_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v493.meshes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.triangles = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val4.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val3.triangles.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.vertices = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Point()\\n _x = val4\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val3.vertices.append(val4)\\n _v493.meshes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v493.mesh_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v496 = val3.position\\n _x = _v496\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v497 = val3.orientation\\n _x = _v497\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v493.mesh_poses.append(val3)\\n start = end\\n end += 8\\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\\n self.goal.request.path_constraints.position_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.path_constraints.orientation_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.OrientationConstraint()\\n _v498 = val1.header\\n start = end\\n end += 4\\n (_v498.seq,) = _get_struct_I().unpack(str[start:end])\\n _v499 = _v498.stamp\\n _x = _v499\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v498.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v498.frame_id = str[start:end]\\n _v500 = val1.orientation\\n _x = _v500\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _x = val1\\n start = end\\n end += 32\\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.request.path_constraints.orientation_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.path_constraints.visibility_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.VisibilityConstraint()\\n start = end\\n end += 8\\n (val1.target_radius,) = _get_struct_d().unpack(str[start:end])\\n _v501 = val1.target_pose\\n _v502 = _v501.header\\n start = end\\n end += 4\\n (_v502.seq,) = _get_struct_I().unpack(str[start:end])\\n _v503 = _v502.stamp\\n _x = _v503\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v502.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v502.frame_id = str[start:end]\\n _v504 = _v501.pose\\n _v505 = _v504.position\\n _x = _v505\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v506 = _v504.orientation\\n _x = _v506\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val1.cone_sides,) = _get_struct_i().unpack(str[start:end])\\n _v507 = val1.sensor_pose\\n _v508 = _v507.header\\n start = end\\n end += 4\\n (_v508.seq,) = _get_struct_I().unpack(str[start:end])\\n _v509 = _v508.stamp\\n _x = _v509\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v508.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v508.frame_id = str[start:end]\\n _v510 = _v507.pose\\n _v511 = _v510.position\\n _x = _v511\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v512 = _v510.orientation\\n _x = _v512\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _x = val1\\n start = end\\n end += 25\\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\\n self.goal.request.path_constraints.visibility_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.trajectory_constraints.constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.Constraints()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.joint_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.JointConstraint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.joint_name = str[start:end].decode('utf-8')\\n else:\\n val2.joint_name = str[start:end]\\n _x = val2\\n start = end\\n end += 32\\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n val1.joint_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.position_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.PositionConstraint()\\n _v513 = val2.header\\n start = end\\n end += 4\\n (_v513.seq,) = _get_struct_I().unpack(str[start:end])\\n _v514 = _v513.stamp\\n _x = _v514\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v513.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v513.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.link_name = str[start:end].decode('utf-8')\\n else:\\n val2.link_name = str[start:end]\\n _v515 = val2.target_point_offset\\n _x = _v515\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v516 = val2.constraint_region\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v516.primitives = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val4.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val4.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v516.primitives.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v516.primitive_poses = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Pose()\\n _v517 = val4.position\\n _x = _v517\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v518 = val4.orientation\\n _x = _v518\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v516.primitive_poses.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v516.meshes = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val4.triangles = []\\n for i in range(0, length):\\n val5 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val5.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val4.triangles.append(val5)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val4.vertices = []\\n for i in range(0, length):\\n val5 = geometry_msgs.msg.Point()\\n _x = val5\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val4.vertices.append(val5)\\n _v516.meshes.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v516.mesh_poses = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Pose()\\n _v519 = val4.position\\n _x = _v519\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v520 = val4.orientation\\n _x = _v520\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v516.mesh_poses.append(val4)\\n start = end\\n end += 8\\n (val2.weight,) = _get_struct_d().unpack(str[start:end])\\n val1.position_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.orientation_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.OrientationConstraint()\\n _v521 = val2.header\\n start = end\\n end += 4\\n (_v521.seq,) = _get_struct_I().unpack(str[start:end])\\n _v522 = _v521.stamp\\n _x = _v522\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v521.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v521.frame_id = str[start:end]\\n _v523 = val2.orientation\\n _x = _v523\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.link_name = str[start:end].decode('utf-8')\\n else:\\n val2.link_name = str[start:end]\\n _x = val2\\n start = end\\n end += 32\\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n val1.orientation_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.visibility_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.VisibilityConstraint()\\n start = end\\n end += 8\\n (val2.target_radius,) = _get_struct_d().unpack(str[start:end])\\n _v524 = val2.target_pose\\n _v525 = _v524.header\\n start = end\\n end += 4\\n (_v525.seq,) = _get_struct_I().unpack(str[start:end])\\n _v526 = _v525.stamp\\n _x = _v526\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v525.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v525.frame_id = str[start:end]\\n _v527 = _v524.pose\\n _v528 = _v527.position\\n _x = _v528\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v529 = _v527.orientation\\n _x = _v529\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val2.cone_sides,) = _get_struct_i().unpack(str[start:end])\\n _v530 = val2.sensor_pose\\n _v531 = _v530.header\\n start = end\\n end += 4\\n (_v531.seq,) = _get_struct_I().unpack(str[start:end])\\n _v532 = _v531.stamp\\n _x = _v532\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v531.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v531.frame_id = str[start:end]\\n _v533 = _v530.pose\\n _v534 = _v533.position\\n _x = _v534\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v535 = _v533.orientation\\n _x = _v535\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _x = val2\\n start = end\\n end += 25\\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\\n val1.visibility_constraints.append(val2)\\n self.goal.request.trajectory_constraints.constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.reference_trajectories = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.GenericTrajectory()\\n _v536 = val1.header\\n start = end\\n end += 4\\n (_v536.seq,) = _get_struct_I().unpack(str[start:end])\\n _v537 = _v536.stamp\\n _x = _v537\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v536.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v536.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.joint_trajectory = []\\n for i in range(0, length):\\n val2 = trajectory_msgs.msg.JointTrajectory()\\n _v538 = val2.header\\n start = end\\n end += 4\\n (_v538.seq,) = _get_struct_I().unpack(str[start:end])\\n _v539 = _v538.stamp\\n _x = _v539\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v538.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v538.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.joint_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.points = []\\n for i in range(0, length):\\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.positions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.velocities = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.accelerations = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v540 = val3.time_from_start\\n _x = _v540\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\\n val2.points.append(val3)\\n val1.joint_trajectory.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.cartesian_trajectory = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.CartesianTrajectory()\\n _v541 = val2.header\\n start = end\\n end += 4\\n (_v541.seq,) = _get_struct_I().unpack(str[start:end])\\n _v542 = _v541.stamp\\n _x = _v542\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v541.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v541.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.tracked_frame = str[start:end].decode('utf-8')\\n else:\\n val2.tracked_frame = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.points = []\\n for i in range(0, length):\\n val3 = moveit_msgs.msg.CartesianTrajectoryPoint()\\n _v543 = val3.point\\n _v544 = _v543.pose\\n _v545 = _v544.position\\n _x = _v545\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v546 = _v544.orientation\\n _x = _v546\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v547 = _v543.velocity\\n _v548 = _v547.linear\\n _x = _v548\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v549 = _v547.angular\\n _x = _v549\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v550 = _v543.acceleration\\n _v551 = _v550.linear\\n _x = _v551\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v552 = _v550.angular\\n _x = _v552\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v553 = val3.time_from_start\\n _x = _v553\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\\n val2.points.append(val3)\\n val1.cartesian_trajectory.append(val2)\\n self.goal.request.reference_trajectories.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.planner_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.planner_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.group_name = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.group_name = str[start:end]\\n _x = self\\n start = end\\n end += 28\\n (_x.goal.request.num_planning_attempts, _x.goal.request.allowed_planning_time, _x.goal.request.max_velocity_scaling_factor, _x.goal.request.max_acceleration_scaling_factor,) = _get_struct_i3d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.name = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.name = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Transform()\\n _v554 = val1.translation\\n _x = _v554\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v555 = val1.rotation\\n _x = _v555\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Twist()\\n _v556 = val1.linear\\n _x = _v556\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v557 = val1.angular\\n _x = _v557\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Wrench()\\n _v558 = val1.force\\n _x = _v558\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v559 = val1.torque\\n _x = _v559\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.AttachedCollisionObject()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _v560 = val1.object\\n _v561 = _v560.header\\n start = end\\n end += 4\\n (_v561.seq,) = _get_struct_I().unpack(str[start:end])\\n _v562 = _v561.stamp\\n _x = _v562\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v561.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v561.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v560.id = str[start:end].decode('utf-8')\\n else:\\n _v560.id = str[start:end]\\n _v563 = _v560.type\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v563.key = str[start:end].decode('utf-8')\\n else:\\n _v563.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v563.db = str[start:end].decode('utf-8')\\n else:\\n _v563.db = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.primitives = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val3.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v560.primitives.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.primitive_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v564 = val3.position\\n _x = _v564\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v565 = val3.orientation\\n _x = _v565\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v560.primitive_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.meshes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.triangles = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val4.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val3.triangles.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.vertices = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Point()\\n _x = val4\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val3.vertices.append(val4)\\n _v560.meshes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.mesh_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v566 = val3.position\\n _x = _v566\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v567 = val3.orientation\\n _x = _v567\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v560.mesh_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.planes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Plane()\\n start = end\\n end += 32\\n val3.coef = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\\n _v560.planes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.plane_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v568 = val3.position\\n _x = _v568\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v569 = val3.orientation\\n _x = _v569\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v560.plane_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.subframe_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n _v560.subframe_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.subframe_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v570 = val3.position\\n _x = _v570\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v571 = val3.orientation\\n _x = _v571\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v560.subframe_poses.append(val3)\\n start = end\\n end += 1\\n (_v560.operation,) = _get_struct_b().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.touch_links = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.touch_links.append(val2)\\n _v572 = val1.detach_posture\\n _v573 = _v572.header\\n start = end\\n end += 4\\n (_v573.seq,) = _get_struct_I().unpack(str[start:end])\\n _v574 = _v573.stamp\\n _x = _v574\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v573.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v573.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v572.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n _v572.joint_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v572.points = []\\n for i in range(0, length):\\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.positions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.velocities = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.accelerations = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v575 = val3.time_from_start\\n _x = _v575\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\\n _v572.points.append(val3)\\n start = end\\n end += 8\\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects.append(val1)\\n start = end\\n end += 1\\n (self.goal.planning_options.planning_scene_diff.robot_state.is_diff,) = _get_struct_B().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.is_diff = bool(self.goal.planning_options.planning_scene_diff.robot_state.is_diff)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.robot_model_name = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.robot_model_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.fixed_frame_transforms = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.TransformStamped()\\n _v576 = val1.header\\n start = end\\n end += 4\\n (_v576.seq,) = _get_struct_I().unpack(str[start:end])\\n _v577 = _v576.stamp\\n _x = _v577\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v576.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v576.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.child_frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.child_frame_id = str[start:end]\\n _v578 = val1.transform\\n _v579 = _v578.translation\\n _x = _v579\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v580 = _v578.rotation\\n _x = _v580\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.fixed_frame_transforms.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.AllowedCollisionEntry()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sB'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.enabled = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\\n val1.enabled = map(bool, val1.enabled)\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sB'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values = map(bool, self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.link_padding = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.LinkPadding()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n start = end\\n end += 8\\n (val1.padding,) = _get_struct_d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.link_padding.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.link_scale = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.LinkScale()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n start = end\\n end += 8\\n (val1.scale,) = _get_struct_d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.link_scale.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.object_colors = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.ObjectColor()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n _v581 = val1.color\\n _x = _v581\\n start = end\\n end += 16\\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.object_colors.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.world.collision_objects = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.CollisionObject()\\n _v582 = val1.header\\n start = end\\n end += 4\\n (_v582.seq,) = _get_struct_I().unpack(str[start:end])\\n _v583 = _v582.stamp\\n _x = _v583\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v582.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v582.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n _v584 = val1.type\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v584.key = str[start:end].decode('utf-8')\\n else:\\n _v584.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v584.db = str[start:end].decode('utf-8')\\n else:\\n _v584.db = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.primitives = []\\n for i in range(0, length):\\n val2 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val2.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val2.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n val1.primitives.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.primitive_poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v585 = val2.position\\n _x = _v585\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v586 = val2.orientation\\n _x = _v586\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n val1.primitive_poses.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.meshes = []\\n for i in range(0, length):\\n val2 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.triangles = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val3.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val2.triangles.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.vertices = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Point()\\n _x = val3\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val2.vertices.append(val3)\\n val1.meshes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.mesh_poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v587 = val2.position\\n _x = _v587\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v588 = val2.orientation\\n _x = _v588\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n val1.mesh_poses.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.planes = []\\n for i in range(0, length):\\n val2 = shape_msgs.msg.Plane()\\n start = end\\n end += 32\\n val2.coef = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\\n val1.planes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.plane_poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v589 = val2.position\\n _x = _v589\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v590 = val2.orientation\\n _x = _v590\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n val1.plane_poses.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.subframe_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.subframe_names.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.subframe_poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v591 = val2.position\\n _x = _v591\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v592 = val2.orientation\\n _x = _v592\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n val1.subframe_poses.append(val2)\\n start = end\\n end += 1\\n (val1.operation,) = _get_struct_b().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.world.collision_objects.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.planning_options.planning_scene_diff.world.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.w, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id = str[start:end]\\n start = end\\n end += 1\\n (self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary,) = _get_struct_B().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary = bool(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id = str[start:end]\\n start = end\\n end += 8\\n (self.goal.planning_options.planning_scene_diff.world.octomap.octomap.resolution,) = _get_struct_d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sb'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.data = numpy.frombuffer(str[start:end], dtype=numpy.int8, count=length)\\n _x = self\\n start = end\\n end += 28\\n (_x.goal.planning_options.planning_scene_diff.is_diff, _x.goal.planning_options.plan_only, _x.goal.planning_options.look_around, _x.goal.planning_options.look_around_attempts, _x.goal.planning_options.max_safe_execution_cost, _x.goal.planning_options.replan, _x.goal.planning_options.replan_attempts, _x.goal.planning_options.replan_delay,) = _get_struct_3BidBid().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.is_diff = bool(self.goal.planning_options.planning_scene_diff.is_diff)\\n self.goal.planning_options.plan_only = bool(self.goal.planning_options.plan_only)\\n self.goal.planning_options.look_around = bool(self.goal.planning_options.look_around)\\n self.goal.planning_options.replan = bool(self.goal.planning_options.replan)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.pending is None:\\n self.pending = None\\n if self.available is None:\\n self.available = None\\n if self.missing is None:\\n self.missing = None\\n if self.gone is None:\\n self.gone = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.pending = []\\n for i in range(0, length):\\n val1 = concert_msgs.msg.ConcertClient()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.gateway_name = str[start:end].decode('utf-8')\\n else:\\n val1.gateway_name = str[start:end]\\n _v49 = val1.platform_info\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v49.name = str[start:end].decode('utf-8')\\n else:\\n _v49.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v49.rocon_uri = str[start:end].decode('utf-8')\\n else:\\n _v49.rocon_uri = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v49.description = str[start:end].decode('utf-8')\\n else:\\n _v49.description = str[start:end]\\n _v50 = _v49.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v50.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v50.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v50.format = str[start:end].decode('utf-8')\\n else:\\n _v50.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v50.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v49.version = str[start:end].decode('utf-8')\\n else:\\n _v49.version = str[start:end]\\n start = end\\n end += 1\\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\\n val1.is_local_client = bool(val1.is_local_client)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.state = str[start:end].decode('utf-8')\\n else:\\n val1.state = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.ip = str[start:end].decode('utf-8')\\n else:\\n val1.ip = str[start:end]\\n _v51 = val1.conn_stats\\n _x = _v51\\n start = end\\n end += 40\\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\\n _v51.gateway_available = bool(_v51.gateway_available)\\n _v51.network_info_available = bool(_v51.network_info_available)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.rapps = []\\n for i in range(0, length):\\n val2 = rocon_app_manager_msgs.msg.Rapp()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.display_name = str[start:end].decode('utf-8')\\n else:\\n val2.display_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.description = str[start:end].decode('utf-8')\\n else:\\n val2.description = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.compatibility = str[start:end].decode('utf-8')\\n else:\\n val2.compatibility = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.status = str[start:end].decode('utf-8')\\n else:\\n val2.status = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.implementations = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.implementations.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.preferred = str[start:end].decode('utf-8')\\n else:\\n val2.preferred = str[start:end]\\n _v52 = val2.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v52.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v52.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v52.format = str[start:end].decode('utf-8')\\n else:\\n _v52.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v52.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_interface = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_interface.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_parameters = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_parameters.append(val3)\\n val1.rapps.append(val2)\\n self.pending.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.available = []\\n for i in range(0, length):\\n val1 = concert_msgs.msg.ConcertClient()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.gateway_name = str[start:end].decode('utf-8')\\n else:\\n val1.gateway_name = str[start:end]\\n _v53 = val1.platform_info\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v53.name = str[start:end].decode('utf-8')\\n else:\\n _v53.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v53.rocon_uri = str[start:end].decode('utf-8')\\n else:\\n _v53.rocon_uri = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v53.description = str[start:end].decode('utf-8')\\n else:\\n _v53.description = str[start:end]\\n _v54 = _v53.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v54.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v54.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v54.format = str[start:end].decode('utf-8')\\n else:\\n _v54.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v54.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v53.version = str[start:end].decode('utf-8')\\n else:\\n _v53.version = str[start:end]\\n start = end\\n end += 1\\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\\n val1.is_local_client = bool(val1.is_local_client)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.state = str[start:end].decode('utf-8')\\n else:\\n val1.state = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.ip = str[start:end].decode('utf-8')\\n else:\\n val1.ip = str[start:end]\\n _v55 = val1.conn_stats\\n _x = _v55\\n start = end\\n end += 40\\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\\n _v55.gateway_available = bool(_v55.gateway_available)\\n _v55.network_info_available = bool(_v55.network_info_available)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.rapps = []\\n for i in range(0, length):\\n val2 = rocon_app_manager_msgs.msg.Rapp()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.display_name = str[start:end].decode('utf-8')\\n else:\\n val2.display_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.description = str[start:end].decode('utf-8')\\n else:\\n val2.description = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.compatibility = str[start:end].decode('utf-8')\\n else:\\n val2.compatibility = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.status = str[start:end].decode('utf-8')\\n else:\\n val2.status = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.implementations = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.implementations.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.preferred = str[start:end].decode('utf-8')\\n else:\\n val2.preferred = str[start:end]\\n _v56 = val2.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v56.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v56.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v56.format = str[start:end].decode('utf-8')\\n else:\\n _v56.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v56.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_interface = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_interface.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_parameters = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_parameters.append(val3)\\n val1.rapps.append(val2)\\n self.available.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.missing = []\\n for i in range(0, length):\\n val1 = concert_msgs.msg.ConcertClient()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.gateway_name = str[start:end].decode('utf-8')\\n else:\\n val1.gateway_name = str[start:end]\\n _v57 = val1.platform_info\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v57.name = str[start:end].decode('utf-8')\\n else:\\n _v57.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v57.rocon_uri = str[start:end].decode('utf-8')\\n else:\\n _v57.rocon_uri = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v57.description = str[start:end].decode('utf-8')\\n else:\\n _v57.description = str[start:end]\\n _v58 = _v57.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v58.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v58.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v58.format = str[start:end].decode('utf-8')\\n else:\\n _v58.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v58.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v57.version = str[start:end].decode('utf-8')\\n else:\\n _v57.version = str[start:end]\\n start = end\\n end += 1\\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\\n val1.is_local_client = bool(val1.is_local_client)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.state = str[start:end].decode('utf-8')\\n else:\\n val1.state = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.ip = str[start:end].decode('utf-8')\\n else:\\n val1.ip = str[start:end]\\n _v59 = val1.conn_stats\\n _x = _v59\\n start = end\\n end += 40\\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\\n _v59.gateway_available = bool(_v59.gateway_available)\\n _v59.network_info_available = bool(_v59.network_info_available)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.rapps = []\\n for i in range(0, length):\\n val2 = rocon_app_manager_msgs.msg.Rapp()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.display_name = str[start:end].decode('utf-8')\\n else:\\n val2.display_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.description = str[start:end].decode('utf-8')\\n else:\\n val2.description = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.compatibility = str[start:end].decode('utf-8')\\n else:\\n val2.compatibility = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.status = str[start:end].decode('utf-8')\\n else:\\n val2.status = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.implementations = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.implementations.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.preferred = str[start:end].decode('utf-8')\\n else:\\n val2.preferred = str[start:end]\\n _v60 = val2.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v60.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v60.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v60.format = str[start:end].decode('utf-8')\\n else:\\n _v60.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v60.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_interface = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_interface.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_parameters = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_parameters.append(val3)\\n val1.rapps.append(val2)\\n self.missing.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.gone = []\\n for i in range(0, length):\\n val1 = concert_msgs.msg.ConcertClient()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.gateway_name = str[start:end].decode('utf-8')\\n else:\\n val1.gateway_name = str[start:end]\\n _v61 = val1.platform_info\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v61.name = str[start:end].decode('utf-8')\\n else:\\n _v61.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v61.rocon_uri = str[start:end].decode('utf-8')\\n else:\\n _v61.rocon_uri = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v61.description = str[start:end].decode('utf-8')\\n else:\\n _v61.description = str[start:end]\\n _v62 = _v61.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v62.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v62.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v62.format = str[start:end].decode('utf-8')\\n else:\\n _v62.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v62.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v61.version = str[start:end].decode('utf-8')\\n else:\\n _v61.version = str[start:end]\\n start = end\\n end += 1\\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\\n val1.is_local_client = bool(val1.is_local_client)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.state = str[start:end].decode('utf-8')\\n else:\\n val1.state = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.ip = str[start:end].decode('utf-8')\\n else:\\n val1.ip = str[start:end]\\n _v63 = val1.conn_stats\\n _x = _v63\\n start = end\\n end += 40\\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\\n _v63.gateway_available = bool(_v63.gateway_available)\\n _v63.network_info_available = bool(_v63.network_info_available)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.rapps = []\\n for i in range(0, length):\\n val2 = rocon_app_manager_msgs.msg.Rapp()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.display_name = str[start:end].decode('utf-8')\\n else:\\n val2.display_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.description = str[start:end].decode('utf-8')\\n else:\\n val2.description = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.compatibility = str[start:end].decode('utf-8')\\n else:\\n val2.compatibility = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.status = str[start:end].decode('utf-8')\\n else:\\n val2.status = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.implementations = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.implementations.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.preferred = str[start:end].decode('utf-8')\\n else:\\n val2.preferred = str[start:end]\\n _v64 = val2.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v64.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v64.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v64.format = str[start:end].decode('utf-8')\\n else:\\n _v64.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v64.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_interface = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_interface.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_parameters = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_parameters.append(val3)\\n val1.rapps.append(val2)\\n self.gone.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.image is None:\\n self.image = autonavigation.msg.Image()\\n end = 0\\n _x = self\\n start = end\\n end += 29\\n (_x.unique_key, _x.gps_week, _x.gps_millisecond, _x.video_id, _x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs,) = _struct_2IQB3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.image.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.image.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 212\\n (_x.image.localPose.time, _x.image.localPose.dr_x, _x.image.localPose.dr_y, _x.image.localPose.dr_z, _x.image.localPose.dr_heading, _x.image.localPose.dr_roll, _x.image.localPose.dr_pitch, _x.image.localPose.lf_speed, _x.image.localPose.rf_speed, _x.image.localPose.lr_speed, _x.image.localPose.rr_speed, _x.image.localPose.rot_x, _x.image.localPose.rot_y, _x.image.localPose.rot_z, _x.image.localPose.acc_x, _x.image.localPose.acc_y, _x.image.localPose.acc_z, _x.image.localPose.batteryState, _x.image.localPose.batteryEnergy, _x.image.localPose.steer, _x.image.localPose.brake, _x.image.localPose.fuel, _x.image.localPose.trans, _x.image.localPose.VehicleState, _x.image.localPose.mode, _x.image.localPose.drStatus, _x.image.localPose.errorStatus, _x.image.localPose.emergency_flag, _x.image.localPose.hardswitch_on, _x.image.gpsPos.gps_flag, _x.image.gpsPos.gps_week, _x.image.gpsPos.gps_millisecond, _x.image.gpsPos.longitude, _x.image.gpsPos.laltitude, _x.image.gpsPos.gaussX, _x.image.gpsPos.gaussY, _x.image.gpsPos.height, _x.image.gpsPos.pitch, _x.image.gpsPos.roll, _x.image.gpsPos.azimuth, _x.image.gpsPos.northVelocity, _x.image.gpsPos.eastVelocity, _x.image.gpsPos.upVelocity, _x.image.gpsPos.positionStatus, _x.image.gpsPos.rot_x, _x.image.gpsPos.rot_y, _x.image.gpsPos.rot_z, _x.image.gpsPos.acc_x, _x.image.gpsPos.acc_y, _x.image.gpsPos.acc_z, _x.image.height, _x.image.width,) = _struct_d21i7bBI6d13i2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.image.encoding = str[start:end].decode('utf-8')\\n else:\\n self.image.encoding = str[start:end]\\n _x = self\\n start = end\\n end += 5\\n (_x.image.is_bigendian, _x.image.step,) = _struct_BI.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.image.data = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.x is None:\\n self.x = geometry_msgs.msg.PoseStamped()\\n if self.x_desi is None:\\n self.x_desi = geometry_msgs.msg.PoseStamped()\\n if self.x_desi_filtered is None:\\n self.x_desi_filtered = geometry_msgs.msg.PoseStamped()\\n if self.x_err is None:\\n self.x_err = geometry_msgs.msg.Twist()\\n if self.xd is None:\\n self.xd = geometry_msgs.msg.Twist()\\n if self.xd_desi is None:\\n self.xd_desi = geometry_msgs.msg.Twist()\\n if self.F is None:\\n self.F = geometry_msgs.msg.Wrench()\\n if self.J is None:\\n self.J = std_msgs.msg.Float64MultiArray()\\n if self.N is None:\\n self.N = std_msgs.msg.Float64MultiArray()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x_desi.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x_desi.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x_desi_filtered.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x_desi_filtered.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 248\\n (_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z,) = _get_struct_31d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau_pose = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau_posture = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.J.layout.dim = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.MultiArrayDimension()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.label = str[start:end].decode('utf-8')\\n else:\\n val1.label = str[start:end]\\n _x = val1\\n start = end\\n end += 8\\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\\n self.J.layout.dim.append(val1)\\n start = end\\n end += 4\\n (self.J.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.J.data = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.N.layout.dim = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.MultiArrayDimension()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.label = str[start:end].decode('utf-8')\\n else:\\n val1.label = str[start:end]\\n _x = val1\\n start = end\\n end += 8\\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\\n self.N.layout.dim.append(val1)\\n start = end\\n end += 4\\n (self.N.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.N.data = struct.unpack(pattern, str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def _from_cpp(self, str_msg, cls):\\n msg = cls()\\n result = msg.deserialize(str_msg)\\n return result\",\n \"def deserialize(self, str):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.position is None:\\n self.position = geometry_msgs.msg.Point()\\n if self.approach is None:\\n self.approach = geometry_msgs.msg.Vector3()\\n if self.binormal is None:\\n self.binormal = geometry_msgs.msg.Vector3()\\n if self.axis is None:\\n self.axis = geometry_msgs.msg.Vector3()\\n if self.width is None:\\n self.width = std_msgs.msg.Float32()\\n if self.score is None:\\n self.score = std_msgs.msg.Float32()\\n if self.sample is None:\\n self.sample = geometry_msgs.msg.Point()\\n end = 0\\n _x = self\\n start = end\\n end += 128\\n (_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z,) = _get_struct_12d2f3d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.planning_scene_diff is None:\\n self.planning_scene_diff = arm_navigation_msgs.msg.PlanningScene()\\n if self.operations is None:\\n self.operations = arm_navigation_msgs.msg.OrderedCollisionOperations()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.planning_scene_diff.robot_state.joint_state.header.seq, _x.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.robot_state.joint_state.name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.planning_scene_diff.robot_state.joint_state.name.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.planning_scene_diff.robot_state.joint_state.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.planning_scene_diff.robot_state.joint_state.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.planning_scene_diff.robot_state.joint_state.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 8\\n (_x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.secs, _x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.poses = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v85 = val1.position\\n _x = _v85\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v86 = val1.orientation\\n _x = _v86\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.poses.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.fixed_frame_transforms = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.TransformStamped()\\n _v87 = val1.header\\n start = end\\n end += 4\\n (_v87.seq,) = _struct_I.unpack(str[start:end])\\n _v88 = _v87.stamp\\n _x = _v88\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v87.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v87.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.child_frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.child_frame_id = str[start:end]\\n _v89 = val1.transform\\n _v90 = _v89.translation\\n _x = _v90\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v91 = _v89.rotation\\n _x = _v91\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.planning_scene_diff.fixed_frame_transforms.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.allowed_collision_matrix.link_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.planning_scene_diff.allowed_collision_matrix.link_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.allowed_collision_matrix.entries = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.AllowedCollisionEntry()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sB'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.enabled = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\\n val1.enabled = map(bool, val1.enabled)\\n self.planning_scene_diff.allowed_collision_matrix.entries.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.allowed_contacts = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.AllowedContactSpecification()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _v92 = val1.shape\\n start = end\\n end += 1\\n (_v92.type,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n _v92.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n _v92.triangles = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v92.vertices = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Point()\\n _x = val3\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v92.vertices.append(val3)\\n _v93 = val1.pose_stamped\\n _v94 = _v93.header\\n start = end\\n end += 4\\n (_v94.seq,) = _struct_I.unpack(str[start:end])\\n _v95 = _v94.stamp\\n _x = _v95\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v94.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v94.frame_id = str[start:end]\\n _v96 = _v93.pose\\n _v97 = _v96.position\\n _x = _v97\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v98 = _v96.orientation\\n _x = _v98\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.link_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.link_names.append(val2)\\n start = end\\n end += 8\\n (val1.penetration_depth,) = _struct_d.unpack(str[start:end])\\n self.planning_scene_diff.allowed_contacts.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.link_padding = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.LinkPadding()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n start = end\\n end += 8\\n (val1.padding,) = _struct_d.unpack(str[start:end])\\n self.planning_scene_diff.link_padding.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.collision_objects = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.CollisionObject()\\n _v99 = val1.header\\n start = end\\n end += 4\\n (_v99.seq,) = _struct_I.unpack(str[start:end])\\n _v100 = _v99.stamp\\n _x = _v100\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v99.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v99.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (val1.padding,) = _struct_f.unpack(str[start:end])\\n _v101 = val1.operation\\n start = end\\n end += 1\\n (_v101.operation,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.shapes = []\\n for i in range(0, length):\\n val2 = arm_navigation_msgs.msg.Shape()\\n start = end\\n end += 1\\n (val2.type,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val2.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val2.triangles = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.vertices = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Point()\\n _x = val3\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n val2.vertices.append(val3)\\n val1.shapes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v102 = val2.position\\n _x = _v102\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v103 = val2.orientation\\n _x = _v103\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n val1.poses.append(val2)\\n self.planning_scene_diff.collision_objects.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.attached_collision_objects = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.AttachedCollisionObject()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _v104 = val1.object\\n _v105 = _v104.header\\n start = end\\n end += 4\\n (_v105.seq,) = _struct_I.unpack(str[start:end])\\n _v106 = _v105.stamp\\n _x = _v106\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v105.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v105.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v104.id = str[start:end].decode('utf-8')\\n else:\\n _v104.id = str[start:end]\\n start = end\\n end += 4\\n (_v104.padding,) = _struct_f.unpack(str[start:end])\\n _v107 = _v104.operation\\n start = end\\n end += 1\\n (_v107.operation,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v104.shapes = []\\n for i in range(0, length):\\n val3 = arm_navigation_msgs.msg.Shape()\\n start = end\\n end += 1\\n (val3.type,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.triangles = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.vertices = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Point()\\n _x = val4\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n val3.vertices.append(val4)\\n _v104.shapes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v104.poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v108 = val3.position\\n _x = _v108\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v109 = val3.orientation\\n _x = _v109\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n _v104.poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.touch_links = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.touch_links.append(val2)\\n self.planning_scene_diff.attached_collision_objects.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.planning_scene_diff.collision_map.header.seq, _x.planning_scene_diff.collision_map.header.stamp.secs, _x.planning_scene_diff.collision_map.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.planning_scene_diff.collision_map.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.planning_scene_diff.collision_map.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.collision_map.boxes = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.OrientedBoundingBox()\\n _v110 = val1.center\\n _x = _v110\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\\n _v111 = val1.extents\\n _x = _v111\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\\n _v112 = val1.axis\\n _x = _v112\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\\n start = end\\n end += 4\\n (val1.angle,) = _struct_f.unpack(str[start:end])\\n self.planning_scene_diff.collision_map.boxes.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.operations.collision_operations = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.CollisionOperation()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.object1 = str[start:end].decode('utf-8')\\n else:\\n val1.object1 = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.object2 = str[start:end].decode('utf-8')\\n else:\\n val1.object2 = str[start:end]\\n _x = val1\\n start = end\\n end += 12\\n (_x.penetration_distance, _x.operation,) = _struct_di.unpack(str[start:end])\\n self.operations.collision_operations.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.plans is None:\\n self.plans = None\\n end = 0\\n start = end\\n end += 1\\n (self.error,) = _get_struct_b().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.start_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.target_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.plans = []\\n for i in range(0, length):\\n val1 = poppy_torso_control.msg.Trajectory()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.joint = str[start:end].decode('utf-8')\\n else:\\n val1.joint = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.trajectory = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n self.plans.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.pose is None:\\n self.pose = geometry_msgs.msg.PoseWithCovariance()\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w,) = _get_struct_Q8d().unpack(str[start:end])\\n start = end\\n end += 288\\n self.pose.covariance = _get_struct_36d().unpack(str[start:end])\\n _x = self\\n start = end\\n end += 40\\n (_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h,) = _get_struct_5d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.modality = str[start:end].decode('utf-8')\\n else:\\n self.modality = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.embed_vector = struct.unpack(pattern, str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.model_aligned is None:\\n self.model_aligned = articulation_msgs.msg.ModelMsg()\\n if self.data_aligned is None:\\n self.data_aligned = articulation_msgs.msg.ModelMsg()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model_aligned.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.name = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.model_aligned.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model_aligned.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v71 = val1.position\\n _x = _v71\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v72 = val1.orientation\\n _x = _v72\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v73 = val1.stamp\\n _x = _v73\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.model_aligned.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v74 = val1.position\\n _x = _v74\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v75 = val1.orientation\\n _x = _v75\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v76 = val1.position\\n _x = _v76\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v77 = val1.orientation\\n _x = _v77\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.model_aligned.track.pose_flags = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = struct.unpack(pattern, str[start:end])\\n self.model_aligned.track.channels.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data_aligned.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.name = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.data_aligned.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data_aligned.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v78 = val1.position\\n _x = _v78\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v79 = val1.orientation\\n _x = _v79\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v80 = val1.stamp\\n _x = _v80\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.data_aligned.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v81 = val1.position\\n _x = _v81\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v82 = val1.orientation\\n _x = _v82\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v83 = val1.position\\n _x = _v83\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v84 = val1.orientation\\n _x = _v84\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.data_aligned.track.pose_flags = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = struct.unpack(pattern, str[start:end])\\n self.data_aligned.track.channels.append(val1)\\n start = end\\n end += 72\\n self.R = _struct_9d.unpack(str[start:end])\\n start = end\\n end += 24\\n self.T = _struct_3d.unpack(str[start:end])\\n _x = self\\n start = end\\n end += 12\\n (_x.dist_rot, _x.dist_trans,) = _struct_df.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 152\\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _struct_2d2q14dq.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.msg = str[start:end].decode('utf-8')\\n else:\\n self.msg = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.80890095","0.797653","0.79170173","0.7906179","0.78933936","0.7831413","0.78118503","0.7809794","0.7784528","0.77587944","0.77402115","0.77145755","0.7714233","0.7696594","0.7692612","0.7685888","0.7672912","0.76391083","0.76368344","0.7628863","0.76240534","0.7616172","0.7602004","0.7597043","0.7590223","0.75857544","0.7580334","0.7579953","0.7561395","0.7559851","0.7544111","0.7536835","0.7524629","0.7519127","0.7516728","0.7506711","0.75025064","0.7498142","0.7487282","0.74781346","0.74769485","0.7463607","0.7463309","0.7441405","0.7432767","0.74183184","0.74174404","0.74030924","0.73757946","0.7368913","0.73685896","0.7356643","0.7356643","0.7356643","0.7356288","0.7327653","0.7313373","0.7289824","0.72848517","0.72820455","0.7277047","0.72715104","0.72695243","0.7262216","0.724819","0.7244813","0.7227534","0.7217542","0.7216322","0.7213186","0.72059786","0.72007173","0.71858966","0.7177439","0.71646106","0.7156104","0.7147372","0.7143544","0.71217394","0.71132714","0.7077169","0.706251","0.7050889","0.70263803","0.7026025","0.7013296","0.701125","0.68369645","0.6831826","0.68306524","0.6809305","0.67849505","0.67475855","0.6729412","0.67190427","0.6714437","0.6706538","0.6697227","0.6678395","0.6670208","0.6657206"],"string":"[\n \"0.80890095\",\n \"0.797653\",\n \"0.79170173\",\n \"0.7906179\",\n \"0.78933936\",\n \"0.7831413\",\n \"0.78118503\",\n \"0.7809794\",\n \"0.7784528\",\n \"0.77587944\",\n \"0.77402115\",\n \"0.77145755\",\n \"0.7714233\",\n \"0.7696594\",\n \"0.7692612\",\n \"0.7685888\",\n \"0.7672912\",\n \"0.76391083\",\n \"0.76368344\",\n \"0.7628863\",\n \"0.76240534\",\n \"0.7616172\",\n \"0.7602004\",\n \"0.7597043\",\n \"0.7590223\",\n \"0.75857544\",\n \"0.7580334\",\n \"0.7579953\",\n \"0.7561395\",\n \"0.7559851\",\n \"0.7544111\",\n \"0.7536835\",\n \"0.7524629\",\n \"0.7519127\",\n \"0.7516728\",\n \"0.7506711\",\n \"0.75025064\",\n \"0.7498142\",\n \"0.7487282\",\n \"0.74781346\",\n \"0.74769485\",\n \"0.7463607\",\n \"0.7463309\",\n \"0.7441405\",\n \"0.7432767\",\n \"0.74183184\",\n \"0.74174404\",\n \"0.74030924\",\n \"0.73757946\",\n \"0.7368913\",\n \"0.73685896\",\n \"0.7356643\",\n \"0.7356643\",\n \"0.7356643\",\n \"0.7356288\",\n \"0.7327653\",\n \"0.7313373\",\n \"0.7289824\",\n \"0.72848517\",\n \"0.72820455\",\n \"0.7277047\",\n \"0.72715104\",\n \"0.72695243\",\n \"0.7262216\",\n \"0.724819\",\n \"0.7244813\",\n \"0.7227534\",\n \"0.7217542\",\n \"0.7216322\",\n \"0.7213186\",\n \"0.72059786\",\n \"0.72007173\",\n \"0.71858966\",\n \"0.7177439\",\n \"0.71646106\",\n \"0.7156104\",\n \"0.7147372\",\n \"0.7143544\",\n \"0.71217394\",\n \"0.71132714\",\n \"0.7077169\",\n \"0.706251\",\n \"0.7050889\",\n \"0.70263803\",\n \"0.7026025\",\n \"0.7013296\",\n \"0.701125\",\n \"0.68369645\",\n \"0.6831826\",\n \"0.68306524\",\n \"0.6809305\",\n \"0.67849505\",\n \"0.67475855\",\n \"0.6729412\",\n \"0.67190427\",\n \"0.6714437\",\n \"0.6706538\",\n \"0.6697227\",\n \"0.6678395\",\n \"0.6670208\",\n \"0.6657206\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":88287,"cells":{"query":{"kind":"string","value":"Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix inorder arguments and keyword arguments."},"document":{"kind":"string","value":"def __init__(self, *args, **kwds):\n if args or kwds:\n super(SetElectromotorsControlResponse, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.result is None:\n self.result = 0\n else:\n self.result = 0"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def __init__(self, *args, **kwds):\n if args or kwds:\n super(KomodoSpeechRecCommand, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.cmd is None:\n self.cmd = ''\n if self.cat is None:\n self.cat = ''\n else:\n self.header = std_msgs.msg.Header()\n self.cmd = ''\n self.cat = ''","def __init__(self, message=None):\n self.message = message","def __init__(self, message=None):\n self.message = message","def __init__(self, message=None) -> None:\n super().__init__(message)","def __init__(self, message: str = None, **kwargs):\n self.message = message\n self.kwargs = kwargs\n self.args = {}\n self.args['message'] = self.message\n self.args['args'] = self.kwargs","def __init__(self, message=None):\n\n self._message = message","def __init__(self, message, *args, **kwargs):\n self.message = message\n super().__init__(*args, **kwargs)","def __init__(self, message: str) -> None:\n self.message = message","def __init__(self, *args, **kwds):\n if args or kwds:\n super(MoveGroupActionGoal, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.goal_id is None:\n self.goal_id = actionlib_msgs.msg.GoalID()\n if self.goal is None:\n self.goal = moveit_msgs.msg.MoveGroupGoal()\n else:\n self.header = std_msgs.msg.Header()\n self.goal_id = actionlib_msgs.msg.GoalID()\n self.goal = moveit_msgs.msg.MoveGroupGoal()","def __init__(self, *args, **kwds):\n if args or kwds:\n super(AlignModelSrvRequest, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.model is None:\n self.model = articulation_msgs.msg.ModelMsg()\n if self.data is None:\n self.data = articulation_msgs.msg.ModelMsg()\n else:\n self.model = articulation_msgs.msg.ModelMsg()\n self.data = articulation_msgs.msg.ModelMsg()","def __init__(self, *args, **kwds):\n if args or kwds:\n super(ManipTaskActionGoal, self).__init__(*args, **kwds)\n # message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.goal_id is None:\n self.goal_id = actionlib_msgs.msg.GoalID()\n if self.goal is None:\n self.goal = coordinator.msg.ManipTaskGoal()\n else:\n self.header = std_msgs.msg.Header()\n self.goal_id = actionlib_msgs.msg.GoalID()\n self.goal = coordinator.msg.ManipTaskGoal()","def __init__(self, *args, **kwds):\n if args or kwds:\n super(PanTiltFdbk, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.pan is None:\n self.pan = movo_msgs.msg.PanTiltActuatorFdbk()\n if self.tilt is None:\n self.tilt = movo_msgs.msg.PanTiltActuatorFdbk()\n else:\n self.header = std_msgs.msg.Header()\n self.pan = movo_msgs.msg.PanTiltActuatorFdbk()\n self.tilt = movo_msgs.msg.PanTiltActuatorFdbk()","def __init__(self, level=None, message=None, process_id=None, user_name=None, timestamp=None):\n\n self._level = None\n self._message = None\n self._process_id = None\n self._user_name = None\n self._timestamp = None\n\n if level is not None:\n self.level = level\n if message is not None:\n self.message = message\n if process_id is not None:\n self.process_id = process_id\n if user_name is not None:\n self.user_name = user_name\n if timestamp is not None:\n self.timestamp = timestamp","def __init__(self, message: str) -> None:\n\n super().__init__(message)","def __init__(self, message: str) -> None:\n\n super().__init__(message)","def __init__(self, *args, **kwds):\n if args or kwds:\n super(DrivetrainCommand, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg._Header.Header()\n if self.gear is None:\n self.gear = 0\n if self.front_diff is None:\n self.front_diff = 0\n if self.rear_diff is None:\n self.rear_diff = 0\n else:\n self.header = std_msgs.msg._Header.Header()\n self.gear = 0\n self.front_diff = 0\n self.rear_diff = 0","def __init__(self, message: str):\n\n self.message = message","def __init__(self, message: str):\n\n self.message = message","def __init__(self, message: str):\n\n self.message = message","def __init__(self, message: str):\n\n self.message = message","def __init__(self, message: str):\n\n self.message = message","def __init__(self, message: str):\n\n self.message = message","def __init__(self, message: str):\n\n self.message = message","def __init__(self, message: str):\n\n self.message = message","def __init__(self, message: str):\n\n self.message = message","def __init__(self, message: str):\n\n self.message = message","def __init__(self, message):\n super().__init__(message)\n self.message = message","def __init__(self, message: str):\n self.message = message","def __init__(self, message: str):\n self.message = message","def __init__(self, message: str):\n self.message = message","def __init__(self, *args, **kwds):\n if args or kwds:\n super(RobotDescription, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.robot_id is None:\n self.robot_id = opil_v2.msg.Id()\n if self.agv_msg is None:\n self.agv_msg = opil_v2.msg.RobotDescriptionAGV()\n else:\n self.header = std_msgs.msg.Header()\n self.robot_id = opil_v2.msg.Id()\n self.agv_msg = opil_v2.msg.RobotDescriptionAGV()","def __init__(self, message):\r\n self.__message = message","def __init__(self, *args, **kwds):\n if args or kwds:\n super(sbpl_msg, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.sbpl_wait_flag is None:\n self.sbpl_wait_flag = False\n if self.sbpl_present_x is None:\n self.sbpl_present_x = 0\n if self.sbpl_present_y is None:\n self.sbpl_present_y = 0\n if self.sbpl_new_x is None:\n self.sbpl_new_x = 0\n if self.sbpl_new_y is None:\n self.sbpl_new_y = 0\n if self.start_P3DX_motion is None:\n self.start_P3DX_motion = False\n else:\n self.sbpl_wait_flag = False\n self.sbpl_present_x = 0\n self.sbpl_present_y = 0\n self.sbpl_new_x = 0\n self.sbpl_new_y = 0\n self.start_P3DX_motion = False","def __init__(self, message: str) -> None:\n super().__init__(message)","def __init__(self, *args, **kwds):\n if args or kwds:\n super(IrTransformMsg, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.s1 is None:\n self.s1 = False\n if self.s2 is None:\n self.s2 = False\n if self.s3 is None:\n self.s3 = False\n if self.s4 is None:\n self.s4 = False\n if self.p1 is None:\n self.p1 = geometry_msgs.msg.PointStamped()\n if self.p2 is None:\n self.p2 = geometry_msgs.msg.PointStamped()\n if self.p3 is None:\n self.p3 = geometry_msgs.msg.PointStamped()\n if self.p4 is None:\n self.p4 = geometry_msgs.msg.PointStamped()\n else:\n self.s1 = False\n self.s2 = False\n self.s3 = False\n self.s4 = False\n self.p1 = geometry_msgs.msg.PointStamped()\n self.p2 = geometry_msgs.msg.PointStamped()\n self.p3 = geometry_msgs.msg.PointStamped()\n self.p4 = geometry_msgs.msg.PointStamped()","def __init__(self, buf=None, *args, **kwargs):\n super(Message, self).__init__(buf, *args, **kwargs)\n self.__initialized = True","def __init__(self, message):\n self.message = message","def __init__(self, message):\n self.message = message","def __init__(self, message):\n self.message = message","def __init__(self, *args, **kwds):\n if args or kwds:\n super(CAMERA_DATA_MSG, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.messageID is None:\n self.messageID = 0\n if self.localStamp is None:\n self.localStamp = vehicle_msgs.msg.FrameStamp()\n if self.globalStamp is None:\n self.globalStamp = vehicle_msgs.msg.FrameStamp()\n if self.camera is None:\n self.camera = vehicle_msgs.msg.Camera()\n if self.camera_obj is None:\n self.camera_obj = [vehicle_msgs.msg.Camera_Obj() for _ in range(10)]\n if self.camera_lane is None:\n self.camera_lane = vehicle_msgs.msg.Camera_Lane()\n else:\n self.header = std_msgs.msg.Header()\n self.messageID = 0\n self.localStamp = vehicle_msgs.msg.FrameStamp()\n self.globalStamp = vehicle_msgs.msg.FrameStamp()\n self.camera = vehicle_msgs.msg.Camera()\n self.camera_obj = [vehicle_msgs.msg.Camera_Obj() for _ in range(10)]\n self.camera_lane = vehicle_msgs.msg.Camera_Lane()","def __init__(self, message='', incomplete=True):\n super().__init__(message)\n self.incomplete = incomplete","def testConstructorKwargs(self):\n class SomeMessage(messages.Message):\n name = messages.StringField(1)\n number = messages.IntegerField(2)\n\n expected = SomeMessage()\n expected.name = 'my name'\n expected.number = 200\n self.assertEquals(expected, SomeMessage(name='my name', number=200))","def __init__(self, msg=None):\n if msg is None:\n msg = \"That bonehead {author} should really hear your rage about this disgraceful result! Feel free to tell them at {email}\".format(\n author=__author__, email=__email__)\n\n self.args = (msg, *self.args)","def __init__(self, message):\n super().__init__()\n self._message = message","def __init__(self, customMessage=\"custom message\"):\n self.customMessage = customMessage","def __init__(self,msg) -> None:\n\n super().__init__(self)\n self.msg=msg","def __init__(self, msg=\"\"):\n self._msg = msg\n super().__init__()","def __init__(self, message):\n super().__init__(message)","def __init__(self, *args, **kwds):\n if args or kwds:\n super(VescCtrlStamped, self).__init__(*args, **kwds)\n # message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.control is None:\n self.control = vesc_msgs.msg.VescCtrl()\n else:\n self.header = std_msgs.msg.Header()\n self.control = vesc_msgs.msg.VescCtrl()","def __init__(self, *args, **kwds):\n if args or kwds:\n super(pid_control_reqResponse, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.FL_vel is None:\n self.FL_vel = 0\n if self.FR_vel is None:\n self.FR_vel = 0\n if self.BL_vel is None:\n self.BL_vel = 0\n if self.BR_vel is None:\n self.BR_vel = 0\n else:\n self.FL_vel = 0\n self.FR_vel = 0\n self.BL_vel = 0\n self.BR_vel = 0","def __init__(self, *args, **kwds):\n if args or kwds:\n super(pid_control_reqRequest, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.yaw is None:\n self.yaw = 0.\n else:\n self.yaw = 0.","def __init__(self, message=\"\"):\n\n self._message = message\n self._startTime = time.time()","def __init__(\n self,\n code: typing.Optional[int] = None,\n message: typing.Optional[str] = None,\n ) -> None:\n super().__init__()\n self.code = code\n self.message = message","def __init__(\n self,\n code: typing.Optional[int] = None,\n message: typing.Optional[str] = None,\n ) -> None:\n super().__init__()\n self.code = code\n self.message = message","def __init__(self, msg: str):\n self.msg = msg","def __init__(self, message: str, value, expected):\n super().__init__(message, value, expected)\n self.message = message\n self.value = value\n self.expected = expected","def __init__(self, *args, **kwds):\n if args or kwds:\n super(ConductorGraph, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.pending is None:\n self.pending = []\n if self.available is None:\n self.available = []\n if self.missing is None:\n self.missing = []\n if self.gone is None:\n self.gone = []\n else:\n self.pending = []\n self.available = []\n self.missing = []\n self.gone = []","def __init__(self, msg):\n\n self.msg = msg","def __init__(self, *args, **kwds):\n if args or kwds:\n super(CoachInfo, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.MatchMode is None:\n self.MatchMode = 0\n if self.MatchType is None:\n self.MatchType = 0\n if self.TestMode is None:\n self.TestMode = 0\n if self.pointA is None:\n self.pointA = nubot_common.msg.Point2d()\n if self.pointB is None:\n self.pointB = nubot_common.msg.Point2d()\n if self.angleA is None:\n self.angleA = 0\n if self.angleB is None:\n self.angleB = 0\n if self.idA is None:\n self.idA = 0\n if self.idB is None:\n self.idB = 0\n if self.kickforce is None:\n self.kickforce = 0\n else:\n self.header = std_msgs.msg.Header()\n self.MatchMode = 0\n self.MatchType = 0\n self.TestMode = 0\n self.pointA = nubot_common.msg.Point2d()\n self.pointB = nubot_common.msg.Point2d()\n self.angleA = 0\n self.angleB = 0\n self.idA = 0\n self.idB = 0\n self.kickforce = 0","def __init__(self, msg):\n self.msg = msg","def __init__(self, msg):\n self.msg = msg","def __init__(self, msg):\n self.msg = msg","def __init__(self, msg):\n self.msg = msg","def __init__(self, msg):\n self.msg = msg","def __init__(self, msg):\n self.msg = msg","def __init__(self, msg):\n self.msg = msg","def __init__(self, msg):\n self.msg = msg","def __init__(self, msg):\n self.msg = msg","def __init__(self, msg):\n self.msg = msg","def __init__(self, msg):\n self.msg = msg","def __init__(self, msg):\n self.msg = msg","def __init__(self, message=None):\n if message is None:\n message = \"Game error!\"\n self.__message = message","def __init__(self, *args, **kwds):\n if args or kwds:\n super(Actors, self).__init__(*args, **kwds)\n # message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.actors is None:\n self.actors = []\n else:\n self.header = std_msgs.msg.Header()\n self.actors = []","def __init__(self, *args, **kwds):\n if args or kwds:\n super(InitialSceneResponse, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.tsp_turtles is None:\n self.tsp_turtles = ''\n if self.conveyor_turtle is None:\n self.conveyor_turtle = ''\n if self.catch_turtle is None:\n self.catch_turtle = ''\n else:\n self.tsp_turtles = ''\n self.conveyor_turtle = ''\n self.catch_turtle = ''","def __init__(self, *args):\n\n super(GoveeException, self).__init__()\n\n if args:\n self.message = args[0]\n else:\n self.message = None","def __init__(self, *args, **kwds):\n if args or kwds:\n super(FilterStepInfo, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.step_num is None:\n self.step_num = 0\n if self.info_type is None:\n self.info_type = 0\n if self.predict is None:\n self.predict = argus_msgs.msg.FilterPredictStep()\n if self.update is None:\n self.update = argus_msgs.msg.FilterUpdateStep()\n else:\n self.header = std_msgs.msg.Header()\n self.step_num = 0\n self.info_type = 0\n self.predict = argus_msgs.msg.FilterPredictStep()\n self.update = argus_msgs.msg.FilterUpdateStep()","def __init__(self, peer, text, direction, status=None, timestamp=None, **kargs):\n super(Message, self).__init__()\n storage = None\n\n self.peer = TelNumber.as_type(peer)\n self.text = Text.as_type(text)\n self.timestamp = Time.as_type(timestamp)\n # TODO: use a boolean here\n assert direction in ['in', 'out'], direction\n self.direction = direction\n self.status = status or direction == 'out' and 'read' or 'unread'\n assert self.status in ['read', 'unread', 'unsent', 'sent'], status","def __init__(__self__, *,\n code: Optional[pulumi.Input[str]] = None,\n message: Optional[pulumi.Input[str]] = None):\n if code is not None:\n pulumi.set(__self__, \"code\", code)\n if message is not None:\n pulumi.set(__self__, \"message\", message)","def __init__(self):\n\n # universal message variables\n self.text = None\n self.files = []\n self.keywords = []\n self.performers = []\n self.hasPerformers = False # used to flag files from performer folders\n ## message only variables\n self.price = None # $3 - $100\n self.users = [] # users to send to\n ## post only variables\n self.expiration = None\n self.poll = None\n self.schedule = None\n ##\n self.gotten = False","def __init__(self, *args, **kwds):\n if args or kwds:\n super(DahuaQrcodeScanData, self).__init__(*args, **kwds)\n # message fields cannot be None, assign default values for those that are\n if self.Header is None:\n self.Header = std_msgs.msg.Header()\n if self.x_pos is None:\n self.x_pos = 0\n if self.y_pos is None:\n self.y_pos = 0\n if self.angle is None:\n self.angle = 0\n if self.code_type is None:\n self.code_type = 0\n if self.code_num is None:\n self.code_num = 0\n else:\n self.Header = std_msgs.msg.Header()\n self.x_pos = 0\n self.y_pos = 0\n self.angle = 0\n self.code_type = 0\n self.code_num = 0","def testValidate_Optional(self):\n class SimpleMessage(messages.Message):\n non_required = messages.IntegerField(1)\n\n simple_message = SimpleMessage()\n simple_message.check_initialized()\n simple_message.non_required = 10\n simple_message.check_initialized()","def __init__(self, *args, **kwds):\n if args or kwds:\n super(GetPlanningSceneRequest, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.planning_scene_diff is None:\n self.planning_scene_diff = arm_navigation_msgs.msg.PlanningScene()\n if self.operations is None:\n self.operations = arm_navigation_msgs.msg.OrderedCollisionOperations()\n else:\n self.planning_scene_diff = arm_navigation_msgs.msg.PlanningScene()\n self.operations = arm_navigation_msgs.msg.OrderedCollisionOperations()","def __init__(self, message=None, details=None, **kw):\n if not message:\n message = self.defaultMessage\n\n self.message = message\n self.details = details\n self.traceback = traceback.format_exc()","def __init__(self, message):\n self.vars = {}\n self.vars['message'] = message","def __init__(self, data, attributes=None, *args, **kwargs):\n\n super(PublisherMessage, self).__init__(*args, **kwargs)\n\n self.data = data\n self.attributes = attributes or {}","def __init__(self, msg: str) -> None:\n ...","def __init__(self, *args, **kwds):\n if args or kwds:\n super(FeedbackMsg, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.name is None:\n self.name = []\n if self.position is None:\n self.position = []\n if self.velocity is None:\n self.velocity = []\n if self.effort is None:\n self.effort = []\n if self.position_command is None:\n self.position_command = []\n if self.velocity_command is None:\n self.velocity_command = []\n if self.effort_command is None:\n self.effort_command = []\n if self.accelerometer is None:\n self.accelerometer = []\n if self.gyro is None:\n self.gyro = []\n if self.orientation is None:\n self.orientation = []\n if self.deflection is None:\n self.deflection = []\n if self.deflection_velocity is None:\n self.deflection_velocity = []\n if self.motor_velocity is None:\n self.motor_velocity = []\n if self.motor_current is None:\n self.motor_current = []\n if self.motor_winding_current is None:\n self.motor_winding_current = []\n if self.motor_sensor_temperature is None:\n self.motor_sensor_temperature = []\n if self.motor_winding_temperature is None:\n self.motor_winding_temperature = []\n if self.motor_housing_temperature is None:\n self.motor_housing_temperature = []\n if self.board_temperature is None:\n self.board_temperature = []\n if self.processor_temperature is None:\n self.processor_temperature = []\n if self.voltage is None:\n self.voltage = []\n if self.led_color is None:\n self.led_color = []\n if self.sequence_number is None:\n self.sequence_number = []\n if self.receive_time is None:\n self.receive_time = []\n if self.transmit_time is None:\n self.transmit_time = []\n if self.hardware_receive_time is None:\n self.hardware_receive_time = []\n if self.hardware_transmit_time is None:\n self.hardware_transmit_time = []\n else:\n self.name = []\n self.position = []\n self.velocity = []\n self.effort = []\n self.position_command = []\n self.velocity_command = []\n self.effort_command = []\n self.accelerometer = []\n self.gyro = []\n self.orientation = []\n self.deflection = []\n self.deflection_velocity = []\n self.motor_velocity = []\n self.motor_current = []\n self.motor_winding_current = []\n self.motor_sensor_temperature = []\n self.motor_winding_temperature = []\n self.motor_housing_temperature = []\n self.board_temperature = []\n self.processor_temperature = []\n self.voltage = []\n self.led_color = []\n self.sequence_number = []\n self.receive_time = []\n self.transmit_time = []\n self.hardware_receive_time = []\n self.hardware_transmit_time = []","def __init__(self, *args, **kwds):\n if args or kwds:\n super(GraspConfig, self).__init__(*args, **kwds)\n # message fields cannot be None, assign default values for those that are\n if self.position is None:\n self.position = geometry_msgs.msg.Point()\n if self.approach is None:\n self.approach = geometry_msgs.msg.Vector3()\n if self.binormal is None:\n self.binormal = geometry_msgs.msg.Vector3()\n if self.axis is None:\n self.axis = geometry_msgs.msg.Vector3()\n if self.width is None:\n self.width = std_msgs.msg.Float32()\n if self.score is None:\n self.score = std_msgs.msg.Float32()\n if self.sample is None:\n self.sample = geometry_msgs.msg.Point()\n else:\n self.position = geometry_msgs.msg.Point()\n self.approach = geometry_msgs.msg.Vector3()\n self.binormal = geometry_msgs.msg.Vector3()\n self.axis = geometry_msgs.msg.Vector3()\n self.width = std_msgs.msg.Float32()\n self.score = std_msgs.msg.Float32()\n self.sample = geometry_msgs.msg.Point()","def __init__(self, *args, **kwds):\n if args or kwds:\n super(sslDebug_Data, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.id is None:\n self.id = ''\n if self.line is None:\n self.line = []\n if self.circle is None:\n self.circle = []\n else:\n self.id = ''\n self.line = []\n self.circle = []","def __init__(self, *args, **kwds):\n if args or kwds:\n super(InitialSceneRequest, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.numberOfTSPTurtles is None:\n self.numberOfTSPTurtles = 0\n else:\n self.numberOfTSPTurtles = 0","def __init__(self, msg, final=False):\n self.__msg = msg\n self.final = final","def __init__(self, *args, **kwds):\n if args or kwds:\n super(EncounterV, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.cnt is None:\n self.cnt = []\n else:\n self.cnt = []","def __init__(self, message_type: LogType, message: str):\n self.timestamp = datetime.datetime.now().strftime(\"%m-%d-%Y %I:%M:%S %p\")\n self.message = message\n self.message_type = message_type","def __init__(self):\n self.type = None\n self.msg = \"\"\n self.process = None\n self.edge_id = None","def __init__(self, *args, **kwds):\n if args or kwds:\n super(RotationMatrix, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.c0 is None:\n self.c0 = bh_motion.msg.Vector3()\n if self.c1 is None:\n self.c1 = bh_motion.msg.Vector3()\n if self.c2 is None:\n self.c2 = bh_motion.msg.Vector3()\n else:\n self.c0 = bh_motion.msg.Vector3()\n self.c1 = bh_motion.msg.Vector3()\n self.c2 = bh_motion.msg.Vector3()","def __init__(self, *args, **kwds):\n if args or kwds:\n super(WorldModelInfo, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.obstacleinfo is None:\n self.obstacleinfo = nubot_common.msg.ObstaclesInfo()\n if self.oppinfo is None:\n self.oppinfo = nubot_common.msg.ObstaclesInfo()\n if self.robotinfo is None:\n self.robotinfo = []\n if self.ballinfo is None:\n self.ballinfo = []\n if self.coachinfo is None:\n self.coachinfo = nubot_common.msg.CoachInfo()\n if self.pass_cmd is None:\n self.pass_cmd = nubot_common.msg.PassCommands()\n else:\n self.header = std_msgs.msg.Header()\n self.obstacleinfo = nubot_common.msg.ObstaclesInfo()\n self.oppinfo = nubot_common.msg.ObstaclesInfo()\n self.robotinfo = []\n self.ballinfo = []\n self.coachinfo = nubot_common.msg.CoachInfo()\n self.pass_cmd = nubot_common.msg.PassCommands()","def __init__(self, *args, **kwds):\n if args or kwds:\n super(GetPlanningSceneResponse, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.planning_scene is None:\n self.planning_scene = arm_navigation_msgs.msg.PlanningScene()\n else:\n self.planning_scene = arm_navigation_msgs.msg.PlanningScene()","def __init__(self, message: str) -> None:\n\n self.message = message if message[-1] == '.' else message + '.'","def __init__(self, *args, **kwds):\n if args or kwds:\n super(MPC_ACCResponse, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.i is None:\n self.i = 0.\n else:\n self.i = 0.","def __init__(self, *args, **kwds):\n if args or kwds:\n super(VideoImage, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.unique_key is None:\n self.unique_key = 0\n if self.gps_week is None:\n self.gps_week = 0\n if self.gps_millisecond is None:\n self.gps_millisecond = 0\n if self.video_id is None:\n self.video_id = 0\n if self.image is None:\n self.image = autonavigation.msg.Image()\n else:\n self.unique_key = 0\n self.gps_week = 0\n self.gps_millisecond = 0\n self.video_id = 0\n self.image = autonavigation.msg.Image()","def __init__(self, message, *args, **kwargs):\n Job.Service.__init__(self, *args, **kwargs)\n self.message = message"],"string":"[\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(KomodoSpeechRecCommand, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.cmd is None:\\n self.cmd = ''\\n if self.cat is None:\\n self.cat = ''\\n else:\\n self.header = std_msgs.msg.Header()\\n self.cmd = ''\\n self.cat = ''\",\n \"def __init__(self, message=None):\\n self.message = message\",\n \"def __init__(self, message=None):\\n self.message = message\",\n \"def __init__(self, message=None) -> None:\\n super().__init__(message)\",\n \"def __init__(self, message: str = None, **kwargs):\\n self.message = message\\n self.kwargs = kwargs\\n self.args = {}\\n self.args['message'] = self.message\\n self.args['args'] = self.kwargs\",\n \"def __init__(self, message=None):\\n\\n self._message = message\",\n \"def __init__(self, message, *args, **kwargs):\\n self.message = message\\n super().__init__(*args, **kwargs)\",\n \"def __init__(self, message: str) -> None:\\n self.message = message\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(MoveGroupActionGoal, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.goal_id is None:\\n self.goal_id = actionlib_msgs.msg.GoalID()\\n if self.goal is None:\\n self.goal = moveit_msgs.msg.MoveGroupGoal()\\n else:\\n self.header = std_msgs.msg.Header()\\n self.goal_id = actionlib_msgs.msg.GoalID()\\n self.goal = moveit_msgs.msg.MoveGroupGoal()\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(AlignModelSrvRequest, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.model is None:\\n self.model = articulation_msgs.msg.ModelMsg()\\n if self.data is None:\\n self.data = articulation_msgs.msg.ModelMsg()\\n else:\\n self.model = articulation_msgs.msg.ModelMsg()\\n self.data = articulation_msgs.msg.ModelMsg()\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(ManipTaskActionGoal, self).__init__(*args, **kwds)\\n # message fields cannot be None, assign default values for those that are\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.goal_id is None:\\n self.goal_id = actionlib_msgs.msg.GoalID()\\n if self.goal is None:\\n self.goal = coordinator.msg.ManipTaskGoal()\\n else:\\n self.header = std_msgs.msg.Header()\\n self.goal_id = actionlib_msgs.msg.GoalID()\\n self.goal = coordinator.msg.ManipTaskGoal()\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(PanTiltFdbk, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.pan is None:\\n self.pan = movo_msgs.msg.PanTiltActuatorFdbk()\\n if self.tilt is None:\\n self.tilt = movo_msgs.msg.PanTiltActuatorFdbk()\\n else:\\n self.header = std_msgs.msg.Header()\\n self.pan = movo_msgs.msg.PanTiltActuatorFdbk()\\n self.tilt = movo_msgs.msg.PanTiltActuatorFdbk()\",\n \"def __init__(self, level=None, message=None, process_id=None, user_name=None, timestamp=None):\\n\\n self._level = None\\n self._message = None\\n self._process_id = None\\n self._user_name = None\\n self._timestamp = None\\n\\n if level is not None:\\n self.level = level\\n if message is not None:\\n self.message = message\\n if process_id is not None:\\n self.process_id = process_id\\n if user_name is not None:\\n self.user_name = user_name\\n if timestamp is not None:\\n self.timestamp = timestamp\",\n \"def __init__(self, message: str) -> None:\\n\\n super().__init__(message)\",\n \"def __init__(self, message: str) -> None:\\n\\n super().__init__(message)\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(DrivetrainCommand, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.header is None:\\n self.header = std_msgs.msg._Header.Header()\\n if self.gear is None:\\n self.gear = 0\\n if self.front_diff is None:\\n self.front_diff = 0\\n if self.rear_diff is None:\\n self.rear_diff = 0\\n else:\\n self.header = std_msgs.msg._Header.Header()\\n self.gear = 0\\n self.front_diff = 0\\n self.rear_diff = 0\",\n \"def __init__(self, message: str):\\n\\n self.message = message\",\n \"def __init__(self, message: str):\\n\\n self.message = message\",\n \"def __init__(self, message: str):\\n\\n self.message = message\",\n \"def __init__(self, message: str):\\n\\n self.message = message\",\n \"def __init__(self, message: str):\\n\\n self.message = message\",\n \"def __init__(self, message: str):\\n\\n self.message = message\",\n \"def __init__(self, message: str):\\n\\n self.message = message\",\n \"def __init__(self, message: str):\\n\\n self.message = message\",\n \"def __init__(self, message: str):\\n\\n self.message = message\",\n \"def __init__(self, message: str):\\n\\n self.message = message\",\n \"def __init__(self, message):\\n super().__init__(message)\\n self.message = message\",\n \"def __init__(self, message: str):\\n self.message = message\",\n \"def __init__(self, message: str):\\n self.message = message\",\n \"def __init__(self, message: str):\\n self.message = message\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(RobotDescription, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.robot_id is None:\\n self.robot_id = opil_v2.msg.Id()\\n if self.agv_msg is None:\\n self.agv_msg = opil_v2.msg.RobotDescriptionAGV()\\n else:\\n self.header = std_msgs.msg.Header()\\n self.robot_id = opil_v2.msg.Id()\\n self.agv_msg = opil_v2.msg.RobotDescriptionAGV()\",\n \"def __init__(self, message):\\r\\n self.__message = message\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(sbpl_msg, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.sbpl_wait_flag is None:\\n self.sbpl_wait_flag = False\\n if self.sbpl_present_x is None:\\n self.sbpl_present_x = 0\\n if self.sbpl_present_y is None:\\n self.sbpl_present_y = 0\\n if self.sbpl_new_x is None:\\n self.sbpl_new_x = 0\\n if self.sbpl_new_y is None:\\n self.sbpl_new_y = 0\\n if self.start_P3DX_motion is None:\\n self.start_P3DX_motion = False\\n else:\\n self.sbpl_wait_flag = False\\n self.sbpl_present_x = 0\\n self.sbpl_present_y = 0\\n self.sbpl_new_x = 0\\n self.sbpl_new_y = 0\\n self.start_P3DX_motion = False\",\n \"def __init__(self, message: str) -> None:\\n super().__init__(message)\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(IrTransformMsg, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.s1 is None:\\n self.s1 = False\\n if self.s2 is None:\\n self.s2 = False\\n if self.s3 is None:\\n self.s3 = False\\n if self.s4 is None:\\n self.s4 = False\\n if self.p1 is None:\\n self.p1 = geometry_msgs.msg.PointStamped()\\n if self.p2 is None:\\n self.p2 = geometry_msgs.msg.PointStamped()\\n if self.p3 is None:\\n self.p3 = geometry_msgs.msg.PointStamped()\\n if self.p4 is None:\\n self.p4 = geometry_msgs.msg.PointStamped()\\n else:\\n self.s1 = False\\n self.s2 = False\\n self.s3 = False\\n self.s4 = False\\n self.p1 = geometry_msgs.msg.PointStamped()\\n self.p2 = geometry_msgs.msg.PointStamped()\\n self.p3 = geometry_msgs.msg.PointStamped()\\n self.p4 = geometry_msgs.msg.PointStamped()\",\n \"def __init__(self, buf=None, *args, **kwargs):\\n super(Message, self).__init__(buf, *args, **kwargs)\\n self.__initialized = True\",\n \"def __init__(self, message):\\n self.message = message\",\n \"def __init__(self, message):\\n self.message = message\",\n \"def __init__(self, message):\\n self.message = message\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(CAMERA_DATA_MSG, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.messageID is None:\\n self.messageID = 0\\n if self.localStamp is None:\\n self.localStamp = vehicle_msgs.msg.FrameStamp()\\n if self.globalStamp is None:\\n self.globalStamp = vehicle_msgs.msg.FrameStamp()\\n if self.camera is None:\\n self.camera = vehicle_msgs.msg.Camera()\\n if self.camera_obj is None:\\n self.camera_obj = [vehicle_msgs.msg.Camera_Obj() for _ in range(10)]\\n if self.camera_lane is None:\\n self.camera_lane = vehicle_msgs.msg.Camera_Lane()\\n else:\\n self.header = std_msgs.msg.Header()\\n self.messageID = 0\\n self.localStamp = vehicle_msgs.msg.FrameStamp()\\n self.globalStamp = vehicle_msgs.msg.FrameStamp()\\n self.camera = vehicle_msgs.msg.Camera()\\n self.camera_obj = [vehicle_msgs.msg.Camera_Obj() for _ in range(10)]\\n self.camera_lane = vehicle_msgs.msg.Camera_Lane()\",\n \"def __init__(self, message='', incomplete=True):\\n super().__init__(message)\\n self.incomplete = incomplete\",\n \"def testConstructorKwargs(self):\\n class SomeMessage(messages.Message):\\n name = messages.StringField(1)\\n number = messages.IntegerField(2)\\n\\n expected = SomeMessage()\\n expected.name = 'my name'\\n expected.number = 200\\n self.assertEquals(expected, SomeMessage(name='my name', number=200))\",\n \"def __init__(self, msg=None):\\n if msg is None:\\n msg = \\\"That bonehead {author} should really hear your rage about this disgraceful result! Feel free to tell them at {email}\\\".format(\\n author=__author__, email=__email__)\\n\\n self.args = (msg, *self.args)\",\n \"def __init__(self, message):\\n super().__init__()\\n self._message = message\",\n \"def __init__(self, customMessage=\\\"custom message\\\"):\\n self.customMessage = customMessage\",\n \"def __init__(self,msg) -> None:\\n\\n super().__init__(self)\\n self.msg=msg\",\n \"def __init__(self, msg=\\\"\\\"):\\n self._msg = msg\\n super().__init__()\",\n \"def __init__(self, message):\\n super().__init__(message)\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(VescCtrlStamped, self).__init__(*args, **kwds)\\n # message fields cannot be None, assign default values for those that are\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.control is None:\\n self.control = vesc_msgs.msg.VescCtrl()\\n else:\\n self.header = std_msgs.msg.Header()\\n self.control = vesc_msgs.msg.VescCtrl()\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(pid_control_reqResponse, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.FL_vel is None:\\n self.FL_vel = 0\\n if self.FR_vel is None:\\n self.FR_vel = 0\\n if self.BL_vel is None:\\n self.BL_vel = 0\\n if self.BR_vel is None:\\n self.BR_vel = 0\\n else:\\n self.FL_vel = 0\\n self.FR_vel = 0\\n self.BL_vel = 0\\n self.BR_vel = 0\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(pid_control_reqRequest, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.yaw is None:\\n self.yaw = 0.\\n else:\\n self.yaw = 0.\",\n \"def __init__(self, message=\\\"\\\"):\\n\\n self._message = message\\n self._startTime = time.time()\",\n \"def __init__(\\n self,\\n code: typing.Optional[int] = None,\\n message: typing.Optional[str] = None,\\n ) -> None:\\n super().__init__()\\n self.code = code\\n self.message = message\",\n \"def __init__(\\n self,\\n code: typing.Optional[int] = None,\\n message: typing.Optional[str] = None,\\n ) -> None:\\n super().__init__()\\n self.code = code\\n self.message = message\",\n \"def __init__(self, msg: str):\\n self.msg = msg\",\n \"def __init__(self, message: str, value, expected):\\n super().__init__(message, value, expected)\\n self.message = message\\n self.value = value\\n self.expected = expected\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(ConductorGraph, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.pending is None:\\n self.pending = []\\n if self.available is None:\\n self.available = []\\n if self.missing is None:\\n self.missing = []\\n if self.gone is None:\\n self.gone = []\\n else:\\n self.pending = []\\n self.available = []\\n self.missing = []\\n self.gone = []\",\n \"def __init__(self, msg):\\n\\n self.msg = msg\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(CoachInfo, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.MatchMode is None:\\n self.MatchMode = 0\\n if self.MatchType is None:\\n self.MatchType = 0\\n if self.TestMode is None:\\n self.TestMode = 0\\n if self.pointA is None:\\n self.pointA = nubot_common.msg.Point2d()\\n if self.pointB is None:\\n self.pointB = nubot_common.msg.Point2d()\\n if self.angleA is None:\\n self.angleA = 0\\n if self.angleB is None:\\n self.angleB = 0\\n if self.idA is None:\\n self.idA = 0\\n if self.idB is None:\\n self.idB = 0\\n if self.kickforce is None:\\n self.kickforce = 0\\n else:\\n self.header = std_msgs.msg.Header()\\n self.MatchMode = 0\\n self.MatchType = 0\\n self.TestMode = 0\\n self.pointA = nubot_common.msg.Point2d()\\n self.pointB = nubot_common.msg.Point2d()\\n self.angleA = 0\\n self.angleB = 0\\n self.idA = 0\\n self.idB = 0\\n self.kickforce = 0\",\n \"def __init__(self, msg):\\n self.msg = msg\",\n \"def __init__(self, msg):\\n self.msg = msg\",\n \"def __init__(self, msg):\\n self.msg = msg\",\n \"def __init__(self, msg):\\n self.msg = msg\",\n \"def __init__(self, msg):\\n self.msg = msg\",\n \"def __init__(self, msg):\\n self.msg = msg\",\n \"def __init__(self, msg):\\n self.msg = msg\",\n \"def __init__(self, msg):\\n self.msg = msg\",\n \"def __init__(self, msg):\\n self.msg = msg\",\n \"def __init__(self, msg):\\n self.msg = msg\",\n \"def __init__(self, msg):\\n self.msg = msg\",\n \"def __init__(self, msg):\\n self.msg = msg\",\n \"def __init__(self, message=None):\\n if message is None:\\n message = \\\"Game error!\\\"\\n self.__message = message\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(Actors, self).__init__(*args, **kwds)\\n # message fields cannot be None, assign default values for those that are\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.actors is None:\\n self.actors = []\\n else:\\n self.header = std_msgs.msg.Header()\\n self.actors = []\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(InitialSceneResponse, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.tsp_turtles is None:\\n self.tsp_turtles = ''\\n if self.conveyor_turtle is None:\\n self.conveyor_turtle = ''\\n if self.catch_turtle is None:\\n self.catch_turtle = ''\\n else:\\n self.tsp_turtles = ''\\n self.conveyor_turtle = ''\\n self.catch_turtle = ''\",\n \"def __init__(self, *args):\\n\\n super(GoveeException, self).__init__()\\n\\n if args:\\n self.message = args[0]\\n else:\\n self.message = None\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(FilterStepInfo, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.step_num is None:\\n self.step_num = 0\\n if self.info_type is None:\\n self.info_type = 0\\n if self.predict is None:\\n self.predict = argus_msgs.msg.FilterPredictStep()\\n if self.update is None:\\n self.update = argus_msgs.msg.FilterUpdateStep()\\n else:\\n self.header = std_msgs.msg.Header()\\n self.step_num = 0\\n self.info_type = 0\\n self.predict = argus_msgs.msg.FilterPredictStep()\\n self.update = argus_msgs.msg.FilterUpdateStep()\",\n \"def __init__(self, peer, text, direction, status=None, timestamp=None, **kargs):\\n super(Message, self).__init__()\\n storage = None\\n\\n self.peer = TelNumber.as_type(peer)\\n self.text = Text.as_type(text)\\n self.timestamp = Time.as_type(timestamp)\\n # TODO: use a boolean here\\n assert direction in ['in', 'out'], direction\\n self.direction = direction\\n self.status = status or direction == 'out' and 'read' or 'unread'\\n assert self.status in ['read', 'unread', 'unsent', 'sent'], status\",\n \"def __init__(__self__, *,\\n code: Optional[pulumi.Input[str]] = None,\\n message: Optional[pulumi.Input[str]] = None):\\n if code is not None:\\n pulumi.set(__self__, \\\"code\\\", code)\\n if message is not None:\\n pulumi.set(__self__, \\\"message\\\", message)\",\n \"def __init__(self):\\n\\n # universal message variables\\n self.text = None\\n self.files = []\\n self.keywords = []\\n self.performers = []\\n self.hasPerformers = False # used to flag files from performer folders\\n ## message only variables\\n self.price = None # $3 - $100\\n self.users = [] # users to send to\\n ## post only variables\\n self.expiration = None\\n self.poll = None\\n self.schedule = None\\n ##\\n self.gotten = False\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(DahuaQrcodeScanData, self).__init__(*args, **kwds)\\n # message fields cannot be None, assign default values for those that are\\n if self.Header is None:\\n self.Header = std_msgs.msg.Header()\\n if self.x_pos is None:\\n self.x_pos = 0\\n if self.y_pos is None:\\n self.y_pos = 0\\n if self.angle is None:\\n self.angle = 0\\n if self.code_type is None:\\n self.code_type = 0\\n if self.code_num is None:\\n self.code_num = 0\\n else:\\n self.Header = std_msgs.msg.Header()\\n self.x_pos = 0\\n self.y_pos = 0\\n self.angle = 0\\n self.code_type = 0\\n self.code_num = 0\",\n \"def testValidate_Optional(self):\\n class SimpleMessage(messages.Message):\\n non_required = messages.IntegerField(1)\\n\\n simple_message = SimpleMessage()\\n simple_message.check_initialized()\\n simple_message.non_required = 10\\n simple_message.check_initialized()\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(GetPlanningSceneRequest, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.planning_scene_diff is None:\\n self.planning_scene_diff = arm_navigation_msgs.msg.PlanningScene()\\n if self.operations is None:\\n self.operations = arm_navigation_msgs.msg.OrderedCollisionOperations()\\n else:\\n self.planning_scene_diff = arm_navigation_msgs.msg.PlanningScene()\\n self.operations = arm_navigation_msgs.msg.OrderedCollisionOperations()\",\n \"def __init__(self, message=None, details=None, **kw):\\n if not message:\\n message = self.defaultMessage\\n\\n self.message = message\\n self.details = details\\n self.traceback = traceback.format_exc()\",\n \"def __init__(self, message):\\n self.vars = {}\\n self.vars['message'] = message\",\n \"def __init__(self, data, attributes=None, *args, **kwargs):\\n\\n super(PublisherMessage, self).__init__(*args, **kwargs)\\n\\n self.data = data\\n self.attributes = attributes or {}\",\n \"def __init__(self, msg: str) -> None:\\n ...\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(FeedbackMsg, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.name is None:\\n self.name = []\\n if self.position is None:\\n self.position = []\\n if self.velocity is None:\\n self.velocity = []\\n if self.effort is None:\\n self.effort = []\\n if self.position_command is None:\\n self.position_command = []\\n if self.velocity_command is None:\\n self.velocity_command = []\\n if self.effort_command is None:\\n self.effort_command = []\\n if self.accelerometer is None:\\n self.accelerometer = []\\n if self.gyro is None:\\n self.gyro = []\\n if self.orientation is None:\\n self.orientation = []\\n if self.deflection is None:\\n self.deflection = []\\n if self.deflection_velocity is None:\\n self.deflection_velocity = []\\n if self.motor_velocity is None:\\n self.motor_velocity = []\\n if self.motor_current is None:\\n self.motor_current = []\\n if self.motor_winding_current is None:\\n self.motor_winding_current = []\\n if self.motor_sensor_temperature is None:\\n self.motor_sensor_temperature = []\\n if self.motor_winding_temperature is None:\\n self.motor_winding_temperature = []\\n if self.motor_housing_temperature is None:\\n self.motor_housing_temperature = []\\n if self.board_temperature is None:\\n self.board_temperature = []\\n if self.processor_temperature is None:\\n self.processor_temperature = []\\n if self.voltage is None:\\n self.voltage = []\\n if self.led_color is None:\\n self.led_color = []\\n if self.sequence_number is None:\\n self.sequence_number = []\\n if self.receive_time is None:\\n self.receive_time = []\\n if self.transmit_time is None:\\n self.transmit_time = []\\n if self.hardware_receive_time is None:\\n self.hardware_receive_time = []\\n if self.hardware_transmit_time is None:\\n self.hardware_transmit_time = []\\n else:\\n self.name = []\\n self.position = []\\n self.velocity = []\\n self.effort = []\\n self.position_command = []\\n self.velocity_command = []\\n self.effort_command = []\\n self.accelerometer = []\\n self.gyro = []\\n self.orientation = []\\n self.deflection = []\\n self.deflection_velocity = []\\n self.motor_velocity = []\\n self.motor_current = []\\n self.motor_winding_current = []\\n self.motor_sensor_temperature = []\\n self.motor_winding_temperature = []\\n self.motor_housing_temperature = []\\n self.board_temperature = []\\n self.processor_temperature = []\\n self.voltage = []\\n self.led_color = []\\n self.sequence_number = []\\n self.receive_time = []\\n self.transmit_time = []\\n self.hardware_receive_time = []\\n self.hardware_transmit_time = []\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(GraspConfig, self).__init__(*args, **kwds)\\n # message fields cannot be None, assign default values for those that are\\n if self.position is None:\\n self.position = geometry_msgs.msg.Point()\\n if self.approach is None:\\n self.approach = geometry_msgs.msg.Vector3()\\n if self.binormal is None:\\n self.binormal = geometry_msgs.msg.Vector3()\\n if self.axis is None:\\n self.axis = geometry_msgs.msg.Vector3()\\n if self.width is None:\\n self.width = std_msgs.msg.Float32()\\n if self.score is None:\\n self.score = std_msgs.msg.Float32()\\n if self.sample is None:\\n self.sample = geometry_msgs.msg.Point()\\n else:\\n self.position = geometry_msgs.msg.Point()\\n self.approach = geometry_msgs.msg.Vector3()\\n self.binormal = geometry_msgs.msg.Vector3()\\n self.axis = geometry_msgs.msg.Vector3()\\n self.width = std_msgs.msg.Float32()\\n self.score = std_msgs.msg.Float32()\\n self.sample = geometry_msgs.msg.Point()\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(sslDebug_Data, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.id is None:\\n self.id = ''\\n if self.line is None:\\n self.line = []\\n if self.circle is None:\\n self.circle = []\\n else:\\n self.id = ''\\n self.line = []\\n self.circle = []\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(InitialSceneRequest, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.numberOfTSPTurtles is None:\\n self.numberOfTSPTurtles = 0\\n else:\\n self.numberOfTSPTurtles = 0\",\n \"def __init__(self, msg, final=False):\\n self.__msg = msg\\n self.final = final\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(EncounterV, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.cnt is None:\\n self.cnt = []\\n else:\\n self.cnt = []\",\n \"def __init__(self, message_type: LogType, message: str):\\n self.timestamp = datetime.datetime.now().strftime(\\\"%m-%d-%Y %I:%M:%S %p\\\")\\n self.message = message\\n self.message_type = message_type\",\n \"def __init__(self):\\n self.type = None\\n self.msg = \\\"\\\"\\n self.process = None\\n self.edge_id = None\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(RotationMatrix, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.c0 is None:\\n self.c0 = bh_motion.msg.Vector3()\\n if self.c1 is None:\\n self.c1 = bh_motion.msg.Vector3()\\n if self.c2 is None:\\n self.c2 = bh_motion.msg.Vector3()\\n else:\\n self.c0 = bh_motion.msg.Vector3()\\n self.c1 = bh_motion.msg.Vector3()\\n self.c2 = bh_motion.msg.Vector3()\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(WorldModelInfo, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.obstacleinfo is None:\\n self.obstacleinfo = nubot_common.msg.ObstaclesInfo()\\n if self.oppinfo is None:\\n self.oppinfo = nubot_common.msg.ObstaclesInfo()\\n if self.robotinfo is None:\\n self.robotinfo = []\\n if self.ballinfo is None:\\n self.ballinfo = []\\n if self.coachinfo is None:\\n self.coachinfo = nubot_common.msg.CoachInfo()\\n if self.pass_cmd is None:\\n self.pass_cmd = nubot_common.msg.PassCommands()\\n else:\\n self.header = std_msgs.msg.Header()\\n self.obstacleinfo = nubot_common.msg.ObstaclesInfo()\\n self.oppinfo = nubot_common.msg.ObstaclesInfo()\\n self.robotinfo = []\\n self.ballinfo = []\\n self.coachinfo = nubot_common.msg.CoachInfo()\\n self.pass_cmd = nubot_common.msg.PassCommands()\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(GetPlanningSceneResponse, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.planning_scene is None:\\n self.planning_scene = arm_navigation_msgs.msg.PlanningScene()\\n else:\\n self.planning_scene = arm_navigation_msgs.msg.PlanningScene()\",\n \"def __init__(self, message: str) -> None:\\n\\n self.message = message if message[-1] == '.' else message + '.'\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(MPC_ACCResponse, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.i is None:\\n self.i = 0.\\n else:\\n self.i = 0.\",\n \"def __init__(self, *args, **kwds):\\n if args or kwds:\\n super(VideoImage, self).__init__(*args, **kwds)\\n #message fields cannot be None, assign default values for those that are\\n if self.unique_key is None:\\n self.unique_key = 0\\n if self.gps_week is None:\\n self.gps_week = 0\\n if self.gps_millisecond is None:\\n self.gps_millisecond = 0\\n if self.video_id is None:\\n self.video_id = 0\\n if self.image is None:\\n self.image = autonavigation.msg.Image()\\n else:\\n self.unique_key = 0\\n self.gps_week = 0\\n self.gps_millisecond = 0\\n self.video_id = 0\\n self.image = autonavigation.msg.Image()\",\n \"def __init__(self, message, *args, **kwargs):\\n Job.Service.__init__(self, *args, **kwargs)\\n self.message = message\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.77941823","0.7721771","0.7721771","0.76875746","0.7627467","0.75655127","0.7441343","0.7418733","0.7351187","0.73081994","0.72794753","0.72372985","0.7227603","0.7225375","0.7225375","0.72188306","0.7213351","0.7213351","0.7213351","0.7213351","0.7213351","0.7213351","0.7213351","0.7213351","0.7213351","0.7213351","0.72108495","0.72045314","0.72045314","0.72045314","0.71993023","0.7197826","0.7187609","0.71869135","0.71391326","0.7134658","0.71329314","0.71329314","0.71329314","0.71303743","0.71284956","0.7115954","0.7110705","0.7062444","0.70529974","0.7032316","0.6975123","0.6971132","0.6953016","0.6948743","0.6922678","0.6899751","0.68981886","0.68981886","0.68791896","0.6862714","0.6858274","0.6842242","0.6803002","0.679442","0.679442","0.679442","0.679442","0.679442","0.679442","0.679442","0.679442","0.679442","0.679442","0.679442","0.679442","0.67732584","0.676352","0.6730234","0.67292905","0.6717298","0.671101","0.6701523","0.66984874","0.6682298","0.66560954","0.66550124","0.6646465","0.6622679","0.6618188","0.6607992","0.6605181","0.6603515","0.65933514","0.6563936","0.6549871","0.6522112","0.6521527","0.651655","0.65082324","0.6499454","0.64950055","0.6479346","0.6465315","0.64456105","0.6430583"],"string":"[\n \"0.77941823\",\n \"0.7721771\",\n \"0.7721771\",\n \"0.76875746\",\n \"0.7627467\",\n \"0.75655127\",\n \"0.7441343\",\n \"0.7418733\",\n \"0.7351187\",\n \"0.73081994\",\n \"0.72794753\",\n \"0.72372985\",\n \"0.7227603\",\n \"0.7225375\",\n \"0.7225375\",\n \"0.72188306\",\n \"0.7213351\",\n \"0.7213351\",\n \"0.7213351\",\n \"0.7213351\",\n \"0.7213351\",\n \"0.7213351\",\n \"0.7213351\",\n \"0.7213351\",\n \"0.7213351\",\n \"0.7213351\",\n \"0.72108495\",\n \"0.72045314\",\n \"0.72045314\",\n \"0.72045314\",\n \"0.71993023\",\n \"0.7197826\",\n \"0.7187609\",\n \"0.71869135\",\n \"0.71391326\",\n \"0.7134658\",\n \"0.71329314\",\n \"0.71329314\",\n \"0.71329314\",\n \"0.71303743\",\n \"0.71284956\",\n \"0.7115954\",\n \"0.7110705\",\n \"0.7062444\",\n \"0.70529974\",\n \"0.7032316\",\n \"0.6975123\",\n \"0.6971132\",\n \"0.6953016\",\n \"0.6948743\",\n \"0.6922678\",\n \"0.6899751\",\n \"0.68981886\",\n \"0.68981886\",\n \"0.68791896\",\n \"0.6862714\",\n \"0.6858274\",\n \"0.6842242\",\n \"0.6803002\",\n \"0.679442\",\n \"0.679442\",\n \"0.679442\",\n \"0.679442\",\n \"0.679442\",\n \"0.679442\",\n \"0.679442\",\n \"0.679442\",\n \"0.679442\",\n \"0.679442\",\n \"0.679442\",\n \"0.679442\",\n \"0.67732584\",\n \"0.676352\",\n \"0.6730234\",\n \"0.67292905\",\n \"0.6717298\",\n \"0.671101\",\n \"0.6701523\",\n \"0.66984874\",\n \"0.6682298\",\n \"0.66560954\",\n \"0.66550124\",\n \"0.6646465\",\n \"0.6622679\",\n \"0.6618188\",\n \"0.6607992\",\n \"0.6605181\",\n \"0.6603515\",\n \"0.65933514\",\n \"0.6563936\",\n \"0.6549871\",\n \"0.6522112\",\n \"0.6521527\",\n \"0.651655\",\n \"0.65082324\",\n \"0.6499454\",\n \"0.64950055\",\n \"0.6479346\",\n \"0.6465315\",\n \"0.64456105\",\n \"0.6430583\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":88288,"cells":{"query":{"kind":"string","value":"serialize message into buffer"},"document":{"kind":"string","value":"def serialize(self, buff):\n try:\n buff.write(_struct_B.pack(self.result))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_2d2q14dq.pack(_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret))\n _x = self.msg\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def _send_serialized(self, socket, msg):\n socket.send(pickle.dumps(msg))","def serialize_message(self) -> bytes:\n return self.compile_message().serialize()","def serialize(self, buff):\n try:\n pass\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize(self, buff):\n try:\n pass\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def into_buffer(self, buf, offset):\n self.payload = containerize(exclude_fields(self))\n self.parser = MsgEd25519SignatureDepB._parser\n self.stream_payload.reset(buf, offset)\n return self.pack_into(buf, offset, self._build_payload)","def serialize(self):\n messageLen = len(self._messageBuf) + 1 # 1 byte for the message type\n header = pack(self.headerFormat, messageLen)\n msgType = pack(self.messageTypeFormat, self.messageType)\n payload = bytes(self._messageBuf)\n return header + msgType + payload","def serialize(self, buff):\n try:\n pass\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(_x))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(_x))))","def serialize(self):\n\n # The len must be multiple of 4 bits to convert unambiguously\n\n id_len = self.id.bit_length()\n while (id_len % 4)!= 0:\n id_len += 1\n if self.payload:\n pay_len = self.payload.bit_length()\n while (pay_len % 4)!= 0:\n pay_len += 1\n else: pay_len = 0\n if self.command:\n com_len = self.command.bit_length()\n while (com_len % 4)!= 0:\n com_len += 1\n else: com_len = 0\n\n values = {\n \"id\": self.id,\n \"id_len\": id_len,\n \"payload\": self.payload,\n \"payload_len\": pay_len,\n \"command\": self.command,\n \"command_len\": com_len\n }\n\n\n if self.id == Message.MEASURE or self.id == Message.SINGLE_MEASURE:\n serial_format = (\n \"uint:id_len=id, bits:payload_len=payload, bits:command_len = command, 0x0D0A\"\n )\n else:\n serial_format = (\n \"0x23, uint:id_len=id, bits:payload_len=payload, bits:command_len = command, 0x0D0A\"\n )\n\n message = bitstring.pack(serial_format, **values)\n\n rospy.logdebug(\"Sent command '0x%s'\", message.hex)\n\n return message.tobytes()","def write_message(message):\n\n return message.to_bytes()","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_I().pack(self.robot_id.id))\n _x = self.robot_id.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_3I().pack(_x.agv_msg.header.seq, _x.agv_msg.header.stamp.secs, _x.agv_msg.header.stamp.nsecs))\n _x = self.agv_msg.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_I().pack(self.agv_msg.vehicle_id.id))\n _x = self.agv_msg.vehicle_id.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_21f().pack(_x.agv_msg.left_size, _x.agv_msg.right_size, _x.agv_msg.front_size, _x.agv_msg.rear_size, _x.agv_msg.min_height, _x.agv_msg.max_height, _x.agv_msg.payload, _x.agv_msg.max_pos_x_vel, _x.agv_msg.max_neg_x_vel, _x.agv_msg.max_pos_x_acc, _x.agv_msg.max_neg_x_acc, _x.agv_msg.max_pos_y_vel, _x.agv_msg.max_neg_y_vel, _x.agv_msg.max_pos_y_acc, _x.agv_msg.max_neg_y_acc, _x.agv_msg.max_pos_ang_vel, _x.agv_msg.max_neg_ang_vel, _x.agv_msg.velocity_control_sensitivity, _x.agv_msg.min_turning_radius, _x.agv_msg.batt_capacity, _x.agv_msg.batt_max_voltage))\n _x = self.agv_msg.vehicle_type\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.agv_msg.vendor\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.agv_msg.action_capability)\n buff.write(_struct_I.pack(length))\n for val1 in self.agv_msg.action_capability:\n _x = val1\n buff.write(_get_struct_2B().pack(_x.category, _x.action))\n length = len(val1.attributes)\n buff.write(_struct_I.pack(length))\n for val2 in val1.attributes:\n _x = val2.type\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.canmsg\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_Bf2B2f2B2fBf().pack(_x.track_id, _x.track_lat_rate, _x.track_group_changed, _x.track_status, _x.track_angle, _x.track_range, _x.track_bridge_object, _x.track_rolling_count, _x.track_width, _x.track_range_accel, _x.track_med_range_mode, _x.track_range_rate))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def into_buffer(self, buf, offset):\n self.payload = containerize(exclude_fields(self))\n self.parser = MsgEcdsaSignature._parser\n self.stream_payload.reset(buf, offset)\n return self.pack_into(buf, offset, self._build_payload)","def serialize(self, buff):\n try:\n length = len(self.name)\n buff.write(_struct_I.pack(length))\n for val1 in self.name:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.position)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.position))\n length = len(self.velocity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.velocity))\n length = len(self.effort)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.effort))\n length = len(self.position_command)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.position_command))\n length = len(self.velocity_command)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.velocity_command))\n length = len(self.effort_command)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.effort_command))\n length = len(self.accelerometer)\n buff.write(_struct_I.pack(length))\n for val1 in self.accelerometer:\n _x = val1\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(self.gyro)\n buff.write(_struct_I.pack(length))\n for val1 in self.gyro:\n _x = val1\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(self.orientation)\n buff.write(_struct_I.pack(length))\n for val1 in self.orientation:\n _x = val1\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.deflection)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.deflection))\n length = len(self.deflection_velocity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.deflection_velocity))\n length = len(self.motor_velocity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.motor_velocity))\n length = len(self.motor_current)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.motor_current))\n length = len(self.motor_winding_current)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.motor_winding_current))\n length = len(self.motor_sensor_temperature)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.motor_sensor_temperature))\n length = len(self.motor_winding_temperature)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.motor_winding_temperature))\n length = len(self.motor_housing_temperature)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.motor_housing_temperature))\n length = len(self.board_temperature)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.board_temperature))\n length = len(self.processor_temperature)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.processor_temperature))\n length = len(self.voltage)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.voltage))\n length = len(self.led_color)\n buff.write(_struct_I.pack(length))\n for val1 in self.led_color:\n _x = val1\n buff.write(_get_struct_4f().pack(_x.r, _x.g, _x.b, _x.a))\n length = len(self.sequence_number)\n buff.write(_struct_I.pack(length))\n pattern = '<%sQ'%length\n buff.write(struct.pack(pattern, *self.sequence_number))\n length = len(self.receive_time)\n buff.write(_struct_I.pack(length))\n pattern = '<%sQ'%length\n buff.write(struct.pack(pattern, *self.receive_time))\n length = len(self.transmit_time)\n buff.write(_struct_I.pack(length))\n pattern = '<%sQ'%length\n buff.write(struct.pack(pattern, *self.transmit_time))\n length = len(self.hardware_receive_time)\n buff.write(_struct_I.pack(length))\n pattern = '<%sQ'%length\n buff.write(struct.pack(pattern, *self.hardware_receive_time))\n length = len(self.hardware_transmit_time)\n buff.write(_struct_I.pack(length))\n pattern = '<%sQ'%length\n buff.write(struct.pack(pattern, *self.hardware_transmit_time))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def pack(self,buffer):\n buffer.append(self.data)","def into_buffer(self, buf, offset):\n self.payload = containerize(exclude_fields(self))\n self.parser = MsgEd25519SignatureDepA._parser\n self.stream_payload.reset(buf, offset)\n return self.pack_into(buf, offset, self._build_payload)","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_2B2If().pack(_x.role, _x.id, _x.local_time, _x.system_time, _x.voltage))\n buff.write(_get_struct_3f().pack(*self.pos_3d))\n buff.write(_get_struct_3f().pack(*self.eop_3d))\n buff.write(_get_struct_3f().pack(*self.vel_3d))\n buff.write(_get_struct_3f().pack(*self.angle_3d))\n buff.write(_get_struct_4f().pack(*self.quaternion))\n buff.write(_get_struct_3f().pack(*self.imu_gyro_3d))\n buff.write(_get_struct_3f().pack(*self.imu_acc_3d))\n length = len(self.nodes)\n buff.write(_struct_I.pack(length))\n for val1 in self.nodes:\n _x = val1\n buff.write(_get_struct_2B3f().pack(_x.role, _x.id, _x.dis, _x.fp_rssi, _x.rx_rssi))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.cmd\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.cat\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(_x))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(_x))))","def into_buffer(self, buf, offset):\n self.payload = containerize(exclude_fields(self))\n self.parser = MsgEcdsaSignatureDepB._parser\n self.stream_payload.reset(buf, offset)\n return self.pack_into(buf, offset, self._build_payload)","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_ihih3i3d2i2d().pack(_x.originId, _x.originType, _x.destinationId, _x.destinationType, _x.range, _x.ts, _x.seq, _x.rxPower, _x.channel, _x.datarate, _x.prf, _x.preambleLength, _x.txGain, _x.angle))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def into_buffer(self, buf, offset):\n self.payload = containerize(exclude_fields(self))\n self.parser = MsgCertificateChain._parser\n self.stream_payload.reset(buf, offset)\n return self.pack_into(buf, offset, self._build_payload)","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_12B.pack(_x.hlive, _x.hstate, _x.hfinished, _x.pressure, _x.c1, _x.c2, _x.c3, _x.c4, _x.c5, _x.c6, _x.c7, _x.c8))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_ih2B().pack(_x.rcvTOW, _x.week, _x.numSV, _x.reserved1))\n length = len(self.sv)\n buff.write(_struct_I.pack(length))\n for val1 in self.sv:\n _x = val1\n buff.write(_get_struct_2dfB2bB().pack(_x.cpMes, _x.prMes, _x.doMes, _x.sv, _x.mesQI, _x.cno, _x.lli))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_2ib6d12B().pack(_x.Timestamp_sec, _x.Timestamp_nsec, _x.IdModulo, _x.InputVolA, _x.InputVolB, _x.InputCorrA, _x.InputCorrB, _x.OutputAnlg1, _x.OutputAnlg2, _x.InputDig1, _x.InputDig2, _x.InputDig3, _x.InputDig4, _x.OutputDig1, _x.OutputDig2, _x.OutputDig3, _x.OutputDig4, _x.OutputDig5, _x.OutputDig6, _x.OutputDig7, _x.OutputDig8))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_i3I().pack(_x.messageID, _x.localStamp.header.seq, _x.localStamp.header.stamp.secs, _x.localStamp.header.stamp.nsecs))\n _x = self.localStamp.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_4d().pack(_x.localStamp.time, _x.localStamp.lat, _x.localStamp.lng, _x.localStamp.height))\n buff.write(_get_struct_3d().pack(*self.localStamp.position))\n buff.write(_get_struct_3d().pack(*self.localStamp.orientation))\n buff.write(_get_struct_3d().pack(*self.localStamp.linearSpeed))\n buff.write(_get_struct_3d().pack(*self.localStamp.angularSpeed))\n _x = self\n buff.write(_get_struct_3I().pack(_x.globalStamp.header.seq, _x.globalStamp.header.stamp.secs, _x.globalStamp.header.stamp.nsecs))\n _x = self.globalStamp.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_4d().pack(_x.globalStamp.time, _x.globalStamp.lat, _x.globalStamp.lng, _x.globalStamp.height))\n buff.write(_get_struct_3d().pack(*self.globalStamp.position))\n buff.write(_get_struct_3d().pack(*self.globalStamp.orientation))\n buff.write(_get_struct_3d().pack(*self.globalStamp.linearSpeed))\n buff.write(_get_struct_3d().pack(*self.globalStamp.angularSpeed))\n _x = self\n buff.write(_get_struct_3I().pack(_x.camera.header.seq, _x.camera.header.stamp.secs, _x.camera.header.stamp.nsecs))\n _x = self.camera.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_i3I().pack(_x.camera.messageID, _x.camera.localStamp.header.seq, _x.camera.localStamp.header.stamp.secs, _x.camera.localStamp.header.stamp.nsecs))\n _x = self.camera.localStamp.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_4d().pack(_x.camera.localStamp.time, _x.camera.localStamp.lat, _x.camera.localStamp.lng, _x.camera.localStamp.height))\n buff.write(_get_struct_3d().pack(*self.camera.localStamp.position))\n buff.write(_get_struct_3d().pack(*self.camera.localStamp.orientation))\n buff.write(_get_struct_3d().pack(*self.camera.localStamp.linearSpeed))\n buff.write(_get_struct_3d().pack(*self.camera.localStamp.angularSpeed))\n _x = self\n buff.write(_get_struct_3I().pack(_x.camera.globalStamp.header.seq, _x.camera.globalStamp.header.stamp.secs, _x.camera.globalStamp.header.stamp.nsecs))\n _x = self.camera.globalStamp.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_4d().pack(_x.camera.globalStamp.time, _x.camera.globalStamp.lat, _x.camera.globalStamp.lng, _x.camera.globalStamp.height))\n buff.write(_get_struct_3d().pack(*self.camera.globalStamp.position))\n buff.write(_get_struct_3d().pack(*self.camera.globalStamp.orientation))\n buff.write(_get_struct_3d().pack(*self.camera.globalStamp.linearSpeed))\n buff.write(_get_struct_3d().pack(*self.camera.globalStamp.angularSpeed))\n _x = self\n buff.write(_get_struct_id().pack(_x.camera.camera_numobstacles, _x.camera.VehSpeed))\n for val1 in self.camera_obj:\n _v1 = val1.header\n buff.write(_get_struct_I().pack(_v1.seq))\n _v2 = _v1.stamp\n _x = _v2\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_i().pack(val1.messageID))\n _v3 = val1.localStamp\n _v4 = _v3.header\n buff.write(_get_struct_I().pack(_v4.seq))\n _v5 = _v4.stamp\n _x = _v5\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v4.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v3\n buff.write(_get_struct_4d().pack(_x.time, _x.lat, _x.lng, _x.height))\n buff.write(_get_struct_3d().pack(*_v3.position))\n buff.write(_get_struct_3d().pack(*_v3.orientation))\n buff.write(_get_struct_3d().pack(*_v3.linearSpeed))\n buff.write(_get_struct_3d().pack(*_v3.angularSpeed))\n _v6 = val1.globalStamp\n _v7 = _v6.header\n buff.write(_get_struct_I().pack(_v7.seq))\n _v8 = _v7.stamp\n _x = _v8\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v7.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v6\n buff.write(_get_struct_4d().pack(_x.time, _x.lat, _x.lng, _x.height))\n buff.write(_get_struct_3d().pack(*_v6.position))\n buff.write(_get_struct_3d().pack(*_v6.orientation))\n buff.write(_get_struct_3d().pack(*_v6.linearSpeed))\n buff.write(_get_struct_3d().pack(*_v6.angularSpeed))\n _x = val1\n buff.write(_get_struct_i2d6i3d3i2d2ididid().pack(_x.camera_obstacle_id, _x.camera_obstacleposx, _x.camera_obstacleposy, _x.blinkerInfo, _x.cut_in_and_out, _x.obstacle_type, _x.obstacle_status, _x.obstacle_valid, _x.obstacles_brake_lights, _x.obstacle_length, _x.obstacle_width, _x.obstacles_velx, _x.obstacleAge, _x.obstacleLane, _x.CIPVFlag, _x.RadarPosX, _x.RadarVelX, _x.RadarMatchConfidence, _x.MatcheRadarID, _x.obstacleAngleRate, _x.obstacles_velY, _x.object_Accel_X, _x.obstacleReplaced, _x.obstacleAngle))\n _x = self\n buff.write(_get_struct_3I().pack(_x.camera_lane.header.seq, _x.camera_lane.header.stamp.secs, _x.camera_lane.header.stamp.nsecs))\n _x = self.camera_lane.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_i3I().pack(_x.camera_lane.messageID, _x.camera_lane.localStamp.header.seq, _x.camera_lane.localStamp.header.stamp.secs, _x.camera_lane.localStamp.header.stamp.nsecs))\n _x = self.camera_lane.localStamp.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_4d().pack(_x.camera_lane.localStamp.time, _x.camera_lane.localStamp.lat, _x.camera_lane.localStamp.lng, _x.camera_lane.localStamp.height))\n buff.write(_get_struct_3d().pack(*self.camera_lane.localStamp.position))\n buff.write(_get_struct_3d().pack(*self.camera_lane.localStamp.orientation))\n buff.write(_get_struct_3d().pack(*self.camera_lane.localStamp.linearSpeed))\n buff.write(_get_struct_3d().pack(*self.camera_lane.localStamp.angularSpeed))\n _x = self\n buff.write(_get_struct_3I().pack(_x.camera_lane.globalStamp.header.seq, _x.camera_lane.globalStamp.header.stamp.secs, _x.camera_lane.globalStamp.header.stamp.nsecs))\n _x = self.camera_lane.globalStamp.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_4d().pack(_x.camera_lane.globalStamp.time, _x.camera_lane.globalStamp.lat, _x.camera_lane.globalStamp.lng, _x.camera_lane.globalStamp.height))\n buff.write(_get_struct_3d().pack(*self.camera_lane.globalStamp.position))\n buff.write(_get_struct_3d().pack(*self.camera_lane.globalStamp.orientation))\n buff.write(_get_struct_3d().pack(*self.camera_lane.globalStamp.linearSpeed))\n buff.write(_get_struct_3d().pack(*self.camera_lane.globalStamp.angularSpeed))\n _x = self\n buff.write(_get_struct_2i3did19i3did21i3did7i3did7i4di().pack(_x.camera_lane.l_numoflaneline, _x.camera_lane.l_lanelineid, _x.camera_lane.l_lanepositon, _x.camera_lane.l_lanecurvature, _x.camera_lane.l_lanecurvaturederivative, _x.camera_lane.l_lane_type, _x.camera_lane.l_heading_angle, _x.camera_lane.l_lane_mark_color, _x.camera_lane.l_laneQuality, _x.camera_lane.l_laneWidthMarking, _x.camera_lane.l_laneViewRangStart, _x.camera_lane.l_laneViewRangEnd, _x.camera_lane.l_laneCrossing, _x.camera_lane.l_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.l_lanePRED_OTHER_SIDE, _x.camera_lane.l_lanePRED_OVERRIDE, _x.camera_lane.l_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.l_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.l_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.l_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.l_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.l_lanePRED_SOURCE_STD, _x.camera_lane.l_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.l_laneTCL, _x.camera_lane.r_numoflaneline, _x.camera_lane.r_lanelineid, _x.camera_lane.r_lanepositon, _x.camera_lane.r_lanecurvature, _x.camera_lane.r_lanecurvaturederivative, _x.camera_lane.r_lane_type, _x.camera_lane.r_heading_angle, _x.camera_lane.r_lane_mark_color, _x.camera_lane.r_laneQuality, _x.camera_lane.r_laneWidthMarking, _x.camera_lane.r_laneViewRangStart, _x.camera_lane.r_laneViewRangEnd, _x.camera_lane.r_laneCrossing, _x.camera_lane.r_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.r_lanePRED_OTHER_SIDE, _x.camera_lane.r_lanePRED_OVERRIDE, _x.camera_lane.r_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.r_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.r_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.r_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.r_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.r_lanePRED_SOURCE_STD, _x.camera_lane.r_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.r_laneTCL, _x.camera_lane.next_l_laneViewRangStart, _x.camera_lane.next_l_laneViewRangEnd, _x.camera_lane.next_l_numoflaneline, _x.camera_lane.next_l_lanelineid, _x.camera_lane.next_l_lanepositon, _x.camera_lane.next_l_lanecurvature, _x.camera_lane.next_l_lanecurvaturederivative, _x.camera_lane.next_l_lane_type, _x.camera_lane.next_l_heading_angle, _x.camera_lane.next_l_lane_mark_color, _x.camera_lane.next_l_laneQuality, _x.camera_lane.next_l_laneWidthMarking, _x.camera_lane.next_r_laneViewRangStart, _x.camera_lane.next_r_laneViewRangEnd, _x.camera_lane.next_r_numoflaneline, _x.camera_lane.next_r_lanelineid, _x.camera_lane.next_r_lanepositon, _x.camera_lane.next_r_lanecurvature, _x.camera_lane.next_r_lanecurvaturederivative, _x.camera_lane.next_r_lane_type, _x.camera_lane.next_r_heading_angle, _x.camera_lane.next_r_lane_mark_color, _x.camera_lane.next_r_laneQuality, _x.camera_lane.next_r_laneWidthMarking, _x.camera_lane.highwayConstructionArea, _x.camera_lane.highwayRoadType, _x.camera_lane.highwayHighwayExitRight, _x.camera_lane.highwayHighwayExitLeft, _x.camera_lane.highwayProbabilityLeftLane, _x.camera_lane.highwayProbabilityRightLane, _x.camera_lane.highwayDriving_peed_left_lane, _x.camera_lane.highwayDriving_peed_right_lane, _x.camera_lane.highwayprotocol_version))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.line)\n buff.write(_struct_I.pack(length))\n for val1 in self.line:\n _x = val1\n buff.write(_get_struct_4if().pack(_x.x1, _x.y1, _x.x2, _x.y2, _x.color))\n length = len(self.circle)\n buff.write(_struct_I.pack(length))\n for val1 in self.circle:\n _x = val1\n buff.write(_get_struct_3if().pack(_x.x, _x.y, _x.radius, _x.color))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(self.battery_voltage))\n _x = self.flight_mode_ll\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.state_estimation\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.position_control\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_2B2f.pack(_x.serial_interface_enabled, _x.serial_interface_active, _x.flight_time, _x.cpu_load))\n _x = self.motor_status\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.gps_status\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_iBf.pack(_x.gps_num_satellites, _x.have_SSDK_parameters, _x.timesync_offset))\n buff.write(_struct_8H.pack(*self.rc_channel))\n buff.write(_struct_6H.pack(*self.control_axes))\n length = len(self.control_buttons)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(struct.pack(pattern, *self.control_buttons))\n _x = self\n buff.write(_struct_6d.pack(_x.latitude, _x.longitude, _x.altitude, _x.pressure_height, _x.velocity_x, _x.velocity_y))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_14id2i.pack(_x.lnid, _x.did, _x.blid, _x.flid, _x.bnid, _x.fnid, _x.jct, _x.blid2, _x.blid3, _x.blid4, _x.flid2, _x.flid3, _x.flid4, _x.clossid, _x.span, _x.lcnt, _x.lno))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_2I2d4fh2B.pack(_x.date, _x.time, _x.longitude_RTK, _x.latitude_RTK, _x.height_above_sea_RTK, _x.velocity_north, _x.velocity_east, _x.velocity_ground, _x.yaw, _x.position_flag, _x.yaw_flag))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_h16fh8f().pack(_x.id, _x.age, _x.velocidad_relativa_x, _x.velocidad_relativa_y, _x.velocidad_absoluta_x, _x.velocidad_absoluta_y, _x.velocidad_absoluta_sigma_x, _x.velocidad_absoluta_sigma_y, _x.bounding_box_centro_x, _x.bounding_box_centro_y, _x.bounding_box_largo, _x.bounding_box_ancho, _x.object_box_centro_x, _x.object_box_centro_y, _x.object_box_orientacion, _x.object_box_size_x, _x.object_box_size_y, _x.clasificacion, _x.clasificacion_age, _x.clasificacion_certeza, _x.punto_cercano_x, _x.punto_cercano_y, _x.punto_referencia_x, _x.punto_referencia_y, _x.punto_referencia_sigma_x, _x.punto_referencia_sigma_y))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_6d2IB().pack(_x.position.x, _x.position.y, _x.position.z, _x.position.roll, _x.position.pitch, _x.position.yaw, _x.position.stamp.secs, _x.position.stamp.nsecs, _x.is_Known))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def _encode_message(cls, message):\n if message.magic == 0:\n msg = b''.join([\n struct.pack('>BB', message.magic, message.attributes),\n write_int_string(message.key),\n write_int_string(message.value)\n ])\n crc = crc32(msg)\n msg = struct.pack('>i%ds' % len(msg), crc, msg)\n else:\n raise ProtocolError(\"Unexpected magic number: %d\" % message.magic)\n return msg","def into_buffer(self, buf, offset):\n self.payload = containerize(exclude_fields(self))\n self.parser = MsgEd25519CertificateDep._parser\n self.stream_payload.reset(buf, offset)\n return self.pack_into(buf, offset, self._build_payload)","def serialize(self, data):","def into_buffer(self, buf, offset):\n self.payload = containerize(exclude_fields(self))\n self.parser = MsgCertificateChainDep._parser\n self.stream_payload.reset(buf, offset)\n return self.pack_into(buf, offset, self._build_payload)","def read_buffer(self):\n message=self._message\n return message","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n length = len(self.actors)\n buff.write(_struct_I.pack(length))\n for val1 in self.actors:\n _v1 = val1.header\n _x = _v1.seq\n buff.write(_get_struct_I().pack(_x))\n _v2 = _v1.stamp\n _x = _v2\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = val1.tracking_id\n buff.write(_get_struct_I().pack(_x))\n _v3 = val1.pose\n _v4 = _v3.pose\n _v5 = _v4.position\n _x = _v5\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v6 = _v4.orientation\n _x = _v6\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n buff.write(_get_struct_36d().pack(*_v3.covariance))\n if len(val1.points) != 18:\n self._check_types(ValueError(\"Expecting %s items but found %s when writing '%s'\" % (18, len(val1.points), 'val1.points')))\n for val2 in val1.points:\n _v7 = val2.point\n _x = _v7\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _x = val2.confidence\n buff.write(_get_struct_f().pack(_x))\n _v8 = val1.nose_point\n _x = _v8\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n buff.write(_get_struct_b().pack(self.error))\n length = len(self.start_pos)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(struct.pack(pattern, *self.start_pos))\n length = len(self.target_pos)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(struct.pack(pattern, *self.target_pos))\n length = len(self.plans)\n buff.write(_struct_I.pack(length))\n for val1 in self.plans:\n _x = val1.joint\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.trajectory)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(struct.pack(pattern, *val1.trajectory))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.polygons)\n buff.write(_struct_I.pack(length))\n for val1 in self.polygons:\n _v1 = val1.stamp\n _x = _v1\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n buff.write(_struct_I.pack(val1.ID))\n buff.write(_struct_6f.pack(*val1.parameter))\n length = len(val1.score)\n buff.write(_struct_I.pack(length))\n for val2 in val1.score:\n _x = val2\n buff.write(_struct_If.pack(_x.ID, _x.prob))\n length = len(val1.polyline)\n buff.write(_struct_I.pack(length))\n for val2 in val1.polyline:\n _x = val2\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.edge_prob))\n length = len(val1.features)\n buff.write(_struct_I.pack(length))\n for val2 in val1.features:\n _x = val2\n buff.write(_struct_3fI.pack(_x.x, _x.y, _x.z, _x.ID))\n _x = val1.energy\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(val1.weight))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self.tsp_turtles\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.conveyor_turtle\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.catch_turtle\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n buff.write(_struct_d.pack(self.i))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_I3f2d13fH().pack(_x.sample_count, _x.ekf_roll, _x.ekf_pitch, _x.ekf_yaw, _x.ekf_lat, _x.ekf_lon, _x.ekf_alt, _x.ekf_vN, _x.ekf_vE, _x.ekf_vD, _x.ekf_vX, _x.ekf_vY, _x.ekf_vZ, _x.rad_gyro_X, _x.rad_gyro_Y, _x.rad_gyro_Z, _x.angular_acc_X, _x.angular_acc_Y, _x.angular_acc_Z, _x.alt_DVL))\n _x = self.dvl_error_code\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\n else:\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_B9f2i7f().pack(_x.flag_to_check, _x.imu_deg_gyro_X, _x.imu_deg_gyro_Y, _x.imu_deg_gyro_Z, _x.imu_mag_X, _x.imu_mag_Y, _x.imu_mag_Z, _x.imu_acc_X, _x.imu_acc_Y, _x.imu_acc_Z, _x.gps_lat, _x.gps_lon, _x.gps_alt, _x.gps_vN, _x.gps_vE, _x.gps_vD, _x.dvl_vX, _x.dvl_vY, _x.dvl_vZ))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n length = len(self.objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.objects:\n _v1 = val1.header\n buff.write(_struct_I.pack(_v1.seq))\n _v2 = _v1.stamp\n _x = _v2\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.object_class\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(val1.confidence))\n _v3 = val1.roi\n _x = _v3\n buff.write(_struct_4IB.pack(_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_3B.pack(_x.gear, _x.front_diff, _x.rear_diff))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def send_message(self, proto_buf):\n # print 'sending....'\n #s = message.SerializeToString()\n # packed_len = struct.pack(self.packformat, len(message))\n message = proto_buf.SerializeToString()\n packed_len = str(len(message) + 100000000)\n server_log.debug(\"Sending msg of length: {0}\".format(packed_len))\n self.sock.sendall(packed_len + message)","def serialize(self, buff):\n try:\n buff.write(_struct_B.pack(self.success))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(_x))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(_x))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_I().pack(self.vehicle_id.id))\n _x = self.vehicle_id.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_21f().pack(_x.left_size, _x.right_size, _x.front_size, _x.rear_size, _x.min_height, _x.max_height, _x.payload, _x.max_pos_x_vel, _x.max_neg_x_vel, _x.max_pos_x_acc, _x.max_neg_x_acc, _x.max_pos_y_vel, _x.max_neg_y_vel, _x.max_pos_y_acc, _x.max_neg_y_acc, _x.max_pos_ang_vel, _x.max_neg_ang_vel, _x.velocity_control_sensitivity, _x.min_turning_radius, _x.batt_capacity, _x.batt_max_voltage))\n _x = self.vehicle_type\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.vendor\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.action_capability)\n buff.write(_struct_I.pack(length))\n for val1 in self.action_capability:\n _x = val1\n buff.write(_get_struct_2B().pack(_x.category, _x.action))\n length = len(val1.attributes)\n buff.write(_struct_I.pack(length))\n for val2 in val1.attributes:\n _x = val2.type\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def _serialize_buffer(buffer, array_serialization=None):\n if array_serialization == 'binary':\n # WARNING: in NumPy 1.9, tostring() has been renamed to tobytes()\n # but tostring() is still here for now for backward compatibility.\n return buffer.ravel().tostring()\n elif array_serialization == 'base64':\n return {'storage_type': 'base64',\n 'buffer': base64.b64encode(buffer).decode('ascii')\n }\n raise ValueError(\"The array serialization method should be 'binary' or \"\n \"'base64'.\")","def _to_cpp(self, msg):\n buf = BytesIO()\n msg.serialize(buf)\n value = buf.getvalue()\n return value","def into_buffer(self, buf, offset):\n self.payload = containerize(exclude_fields(self))\n self.parser = MsgEcdsaSignatureDepA._parser\n self.stream_payload.reset(buf, offset)\n return self.pack_into(buf, offset, self._build_payload)","def _tobuffer(self, object_):\n\n raise NotImplementedError","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_q6d().pack(_x.control.mode, _x.control.duty_cycle, _x.control.current, _x.control.brake, _x.control.speed, _x.control.position, _x.control.servo))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_12d().pack(_x.sensor_pose_on_robot.position.x, _x.sensor_pose_on_robot.position.y, _x.sensor_pose_on_robot.position.z, _x.sensor_pose_on_robot.orientation.x, _x.sensor_pose_on_robot.orientation.y, _x.sensor_pose_on_robot.orientation.z, _x.sensor_pose_on_robot.orientation.w, _x.min_sensor_distance, _x.max_sensor_distance, _x.sensor_std_range, _x.sensor_std_yaw, _x.sensor_std_pitch))\n length = len(self.sensed_data)\n buff.write(_struct_I.pack(length))\n for val1 in self.sensed_data:\n _x = val1\n buff.write(_get_struct_3di().pack(_x.range, _x.yaw, _x.pitch, _x.id))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_B4bB.pack(_x.sbpl_wait_flag, _x.sbpl_present_x, _x.sbpl_present_y, _x.sbpl_new_x, _x.sbpl_new_y, _x.start_P3DX_motion))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_Q8d().pack(_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w))\n buff.write(_get_struct_36d().pack(*self.pose.covariance))\n _x = self\n buff.write(_get_struct_5d().pack(_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h))\n _x = self.modality\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.embed_vector)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(struct.pack(pattern, *self.embed_vector))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_2i16dih().pack(_x.Timestamp_sec, _x.Timestamp_nsec, _x.Roll, _x.Pitch, _x.Yaw, _x.Wx, _x.Wy, _x.Wz, _x.AcelX, _x.AcelY, _x.AcelZ, _x.VelN, _x.VelE, _x.VelZ, _x.GPSLong, _x.GPSLat, _x.GPSAlt, _x.Temp, _x.IMUTime, _x.BITStatus))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.Header.seq, _x.Header.stamp.secs, _x.Header.stamp.nsecs))\n _x = self.Header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_2hHBI().pack(_x.x_pos, _x.y_pos, _x.angle, _x.code_type, _x.code_num))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_12d2f3d().pack(_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_B12d.pack(_x.visible, _x.x, _x.y, _x.z, _x.u, _x.v, _x.w, _x.phi, _x.theta, _x.psi, _x.p, _x.q, _x.r))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(_x))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(_x))))","def serialize(self, buff):\n try:\n _x = self.group\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_2B().pack(_x.rand_start, _x.current_start))\n length = len(self.start_pos)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(struct.pack(pattern, *self.start_pos))\n buff.write(_get_struct_B().pack(self.rand_target))\n length = len(self.target_pos)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(struct.pack(pattern, *self.target_pos))\n _x = self\n buff.write(_get_struct_3Bb().pack(_x.execute, _x.wait, _x.ret_plan, _x.ret_fps))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_7q.pack(_x.s_x, _x.s_y, _x.f_x, _x.f_y, _x.step_size, _x.bias_param, _x.max_iteration))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self):\n self._messageBuf = bytearray()\n self._writeInt32(self.world.time)\n self._writeBool(self.world.isDay)\n self._writeByte(self.world.moonPhase)\n self._writeBool(self.world.isBloodMoon)\n self._writeInt32(self.world.width)\n self._writeInt32(self.world.height)\n self._writeInt32(self.world.spawn[0])\n self._writeInt32(self.world.spawn[1])\n self._writeInt32(self.world.worldSurface)\n self._writeInt32(self.world.rockLayer)\n self._writeInt32(self.world.worldId)\n self._writeByte(self.world.getBossFlag())\n # write the raw name\n self._messageBuf.extend(self.world.name)\n return Message.serialize(self)","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_9f.pack(_x.c0.x, _x.c0.y, _x.c0.z, _x.c1.x, _x.c1.y, _x.c1.z, _x.c2.x, _x.c2.y, _x.c2.z))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def into_buffer(self, buf, offset):\n self.payload = containerize(exclude_fields(self))\n self.parser = MsgEcdsaCertificate._parser\n self.stream_payload.reset(buf, offset)\n return self.pack_into(buf, offset, self._build_payload)","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_H6B5f2Bf.pack(_x.sensorId, _x.id, _x.length, _x.width, _x.measstat, _x.existprob, _x.dynprop, _x.latdisp, _x.longdisp, _x.relxdot, _x.relxddot, _x.latspeed, _x.obsprob, _x.rollcount, _x.rcs))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n buff.write(_struct_B.pack(self.type))\n _x = self.model\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.head_version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.body_version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.arm_version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_2B3i.pack(_x.has_laser, _x.has_extended_arms, _x.number_of_legs, _x.number_of_arms, _x.number_of_hands))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def bencode_buffer(data):\n\twith BytesIO() as f:\n\t\tbencode(data, f)\n\t\treturn f.getvalue()","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_3B4IH3B.pack(_x.sysid, _x.compid, _x.limits_state, _x.last_trigger, _x.last_action, _x.last_recovery, _x.last_clear, _x.breach_count, _x.mods_enabled, _x.mods_required, _x.mods_triggered))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(_x))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(_x))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_14d.pack(_x.u0, _x.h0, _x.vl, _x.i0, _x.wv, _x.wh, _x.wi, _x.h_stop, _x.T_gap, _x.v_max, _x.v_min, _x.h_min, _x.i_max, _x.i_min))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self.time\n buff.write(_get_struct_d().pack(_x))\n length = len(self.q_target)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.q_target))\n length = len(self.qd_target)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.qd_target))\n length = len(self.qdd_target)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.qdd_target))\n length = len(self.i_target)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.i_target))\n length = len(self.m_target)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.m_target))\n length = len(self.q_actual)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.q_actual))\n length = len(self.qd_actual)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.qd_actual))\n length = len(self.i_actual)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.i_actual))\n length = len(self.tool_acc_values)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.tool_acc_values))\n length = len(self.tcp_force)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.tcp_force))\n length = len(self.tool_vector)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.tool_vector))\n length = len(self.tcp_speed)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.tcp_speed))\n _x = self.digital_input_bits\n buff.write(_get_struct_d().pack(_x))\n length = len(self.motor_temperatures)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.motor_temperatures))\n _x = self\n buff.write(_get_struct_3d().pack(_x.controller_timer, _x.test_value, _x.robot_mode))\n length = len(self.joint_modes)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.joint_modes))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_d2H9d5fdI().pack(_x.Time, _x.Week, _x.Status, _x.RPY.x, _x.RPY.y, _x.RPY.z, _x.LLA.x, _x.LLA.y, _x.LLA.z, _x.NedVel.x, _x.NedVel.y, _x.NedVel.z, _x.YawUncertainty, _x.PitchUncertainty, _x.RollUncertainty, _x.PosUncertainty, _x.VelUncertainty, _x.SyncInTime, _x.SyncInCount))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_3B4f2h3B().pack(_x.MatchMode, _x.MatchType, _x.TestMode, _x.pointA.x, _x.pointA.y, _x.pointB.x, _x.pointB.y, _x.angleA, _x.angleB, _x.idA, _x.idB, _x.kickforce))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_56B().pack(_x.command, _x.set_num, _x.paraset_byte54, _x.paraset_byte53, _x.paraset_byte52, _x.paraset_byte51, _x.paraset_byte50, _x.paraset_byte49, _x.paraset_byte48, _x.paraset_byte47, _x.paraset_byte46, _x.paraset_byte45, _x.paraset_byte44, _x.paraset_byte43, _x.paraset_byte42, _x.paraset_byte41, _x.paraset_byte40, _x.paraset_byte39, _x.paraset_byte38, _x.paraset_byte37, _x.paraset_byte36, _x.paraset_byte35, _x.paraset_byte34, _x.paraset_byte33, _x.paraset_byte32, _x.paraset_byte31, _x.paraset_byte30, _x.paraset_byte29, _x.paraset_byte28, _x.paraset_byte27, _x.paraset_byte26, _x.paraset_byte25, _x.paraset_byte24, _x.paraset_byte23, _x.paraset_byte22, _x.paraset_byte21, _x.paraset_byte20, _x.paraset_byte19, _x.paraset_byte18, _x.paraset_byte17, _x.paraset_byte16, _x.paraset_byte15, _x.paraset_byte14, _x.paraset_byte13, _x.paraset_byte12, _x.paraset_byte11, _x.paraset_byte10, _x.paraset_byte9, _x.paraset_byte8, _x.paraset_byte7, _x.paraset_byte6, _x.paraset_byte5, _x.paraset_byte4, _x.paraset_byte3, _x.paraset_byte2, _x.paraset_byte1))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def _recv_serialized(self, socket):\n msg = pickle.loads(socket.recv())\n return msg","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_didid.pack(_x.distance_front, _x.angle_front, _x.distance_back, _x.angle_back, _x.turn_left))\n _x = self.turn_left_sensor\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_d.pack(self.turn_right))\n _x = self.turn_right_sensor\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def _write_message(self, message):\n raw_data = message.serialize()\n debug(\"writing outgoing message of type \" + message.__class__.__name__)\n self.request.sendall(raw_data)","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_2B6f2Bb().pack(_x.status, _x.index, _x.range, _x.range_rate, _x.range_accl, _x.azimuth, _x.lateral_rate, _x.width, _x.is_mr_update, _x.is_lr_update, _x.amplitude))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_3I().pack(_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs))\n _x = self.x.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_7d3I().pack(_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs))\n _x = self.x_desi.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_7d3I().pack(_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs))\n _x = self.x_desi_filtered.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_31d().pack(_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z))\n length = len(self.tau_pose)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.tau_pose))\n length = len(self.tau_posture)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.tau_posture))\n length = len(self.tau)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.tau))\n length = len(self.J.layout.dim)\n buff.write(_struct_I.pack(length))\n for val1 in self.J.layout.dim:\n _x = val1.label\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_get_struct_2I().pack(_x.size, _x.stride))\n buff.write(_get_struct_I().pack(self.J.layout.data_offset))\n length = len(self.J.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.J.data))\n length = len(self.N.layout.dim)\n buff.write(_struct_I.pack(length))\n for val1 in self.N.layout.dim:\n _x = val1.label\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_get_struct_2I().pack(_x.size, _x.stride))\n buff.write(_get_struct_I().pack(self.N.layout.data_offset))\n length = len(self.N.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.N.data))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.base.header.seq, _x.base.header.stamp.secs, _x.base.header.stamp.nsecs))\n _x = self.base.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_5f.pack(_x.base.cell_width, _x.base.cell_height, _x.base.position.x, _x.base.position.y, _x.base.position.z))\n length = len(self.base.points)\n buff.write(_struct_I.pack(length))\n for val1 in self.base.points:\n _x = val1\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n length = len(self.base.intensity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(struct.pack(pattern, *self.base.intensity))\n buff.write(_struct_b.pack(self.base.cost))\n _x = self.base.label\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_2f.pack(_x.mean_height, _x.mean_intensity))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.model.header.seq, _x.model.header.stamp.secs, _x.model.header.stamp.nsecs))\n _x = self.model.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.model.id))\n _x = self.model.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.model.params)\n buff.write(_struct_I.pack(length))\n for val1 in self.model.params:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_struct_dB.pack(_x.value, _x.type))\n _x = self\n buff.write(_struct_3I.pack(_x.model.track.header.seq, _x.model.track.header.stamp.secs, _x.model.track.header.stamp.nsecs))\n _x = self.model.track.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.model.track.id))\n length = len(self.model.track.pose)\n buff.write(_struct_I.pack(length))\n for val1 in self.model.track.pose:\n _v1 = val1.position\n _x = _v1\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v2 = val1.orientation\n _x = _v2\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.model.track.pose_headers)\n buff.write(_struct_I.pack(length))\n for val1 in self.model.track.pose_headers:\n buff.write(_struct_I.pack(val1.seq))\n _v3 = val1.stamp\n _x = _v3\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = val1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.model.track.pose_projected)\n buff.write(_struct_I.pack(length))\n for val1 in self.model.track.pose_projected:\n _v4 = val1.position\n _x = _v4\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v5 = val1.orientation\n _x = _v5\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.model.track.pose_resampled)\n buff.write(_struct_I.pack(length))\n for val1 in self.model.track.pose_resampled:\n _v6 = val1.position\n _x = _v6\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v7 = val1.orientation\n _x = _v7\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.model.track.pose_flags)\n buff.write(_struct_I.pack(length))\n pattern = '<%sI'%length\n buff.write(struct.pack(pattern, *self.model.track.pose_flags))\n length = len(self.model.track.channels)\n buff.write(_struct_I.pack(length))\n for val1 in self.model.track.channels:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.values)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(struct.pack(pattern, *val1.values))\n _x = self\n buff.write(_struct_3I.pack(_x.data.header.seq, _x.data.header.stamp.secs, _x.data.header.stamp.nsecs))\n _x = self.data.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.data.id))\n _x = self.data.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.data.params)\n buff.write(_struct_I.pack(length))\n for val1 in self.data.params:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_struct_dB.pack(_x.value, _x.type))\n _x = self\n buff.write(_struct_3I.pack(_x.data.track.header.seq, _x.data.track.header.stamp.secs, _x.data.track.header.stamp.nsecs))\n _x = self.data.track.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.data.track.id))\n length = len(self.data.track.pose)\n buff.write(_struct_I.pack(length))\n for val1 in self.data.track.pose:\n _v8 = val1.position\n _x = _v8\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v9 = val1.orientation\n _x = _v9\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.data.track.pose_headers)\n buff.write(_struct_I.pack(length))\n for val1 in self.data.track.pose_headers:\n buff.write(_struct_I.pack(val1.seq))\n _v10 = val1.stamp\n _x = _v10\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = val1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.data.track.pose_projected)\n buff.write(_struct_I.pack(length))\n for val1 in self.data.track.pose_projected:\n _v11 = val1.position\n _x = _v11\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v12 = val1.orientation\n _x = _v12\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.data.track.pose_resampled)\n buff.write(_struct_I.pack(length))\n for val1 in self.data.track.pose_resampled:\n _v13 = val1.position\n _x = _v13\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v14 = val1.orientation\n _x = _v14\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.data.track.pose_flags)\n buff.write(_struct_I.pack(length))\n pattern = '<%sI'%length\n buff.write(struct.pack(pattern, *self.data.track.pose_flags))\n length = len(self.data.track.channels)\n buff.write(_struct_I.pack(length))\n for val1 in self.data.track.channels:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.values)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(struct.pack(pattern, *val1.values))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize(self, buff):\n try:\n length = len(self.pending)\n buff.write(_struct_I.pack(length))\n for val1 in self.pending:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.gateway_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v1 = val1.platform_info\n _x = _v1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v1.rocon_uri\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v1.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v2 = _v1.icon\n _x = _v2.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v2.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v2.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v1.version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_B().pack(val1.is_local_client))\n _x = val1.state\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.ip\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v3 = val1.conn_stats\n _x = _v3\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\n length = len(val1.rapps)\n buff.write(_struct_I.pack(length))\n for val2 in val1.rapps:\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.display_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.compatibility\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.status\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.implementations)\n buff.write(_struct_I.pack(length))\n for val3 in val2.implementations:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n _x = val2.preferred\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v4 = val2.icon\n _x = _v4.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v4.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v4.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_interface)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_interface:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_parameters)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_parameters:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.available)\n buff.write(_struct_I.pack(length))\n for val1 in self.available:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.gateway_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v5 = val1.platform_info\n _x = _v5.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v5.rocon_uri\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v5.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v6 = _v5.icon\n _x = _v6.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v6.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v6.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v5.version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_B().pack(val1.is_local_client))\n _x = val1.state\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.ip\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v7 = val1.conn_stats\n _x = _v7\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\n length = len(val1.rapps)\n buff.write(_struct_I.pack(length))\n for val2 in val1.rapps:\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.display_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.compatibility\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.status\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.implementations)\n buff.write(_struct_I.pack(length))\n for val3 in val2.implementations:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n _x = val2.preferred\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v8 = val2.icon\n _x = _v8.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v8.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v8.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_interface)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_interface:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_parameters)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_parameters:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.missing)\n buff.write(_struct_I.pack(length))\n for val1 in self.missing:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.gateway_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v9 = val1.platform_info\n _x = _v9.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v9.rocon_uri\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v9.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v10 = _v9.icon\n _x = _v10.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v10.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v10.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v9.version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_B().pack(val1.is_local_client))\n _x = val1.state\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.ip\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v11 = val1.conn_stats\n _x = _v11\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\n length = len(val1.rapps)\n buff.write(_struct_I.pack(length))\n for val2 in val1.rapps:\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.display_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.compatibility\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.status\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.implementations)\n buff.write(_struct_I.pack(length))\n for val3 in val2.implementations:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n _x = val2.preferred\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v12 = val2.icon\n _x = _v12.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v12.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v12.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_interface)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_interface:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_parameters)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_parameters:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.gone)\n buff.write(_struct_I.pack(length))\n for val1 in self.gone:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.gateway_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v13 = val1.platform_info\n _x = _v13.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v13.rocon_uri\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v13.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v14 = _v13.icon\n _x = _v14.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v14.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v14.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v13.version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_B().pack(val1.is_local_client))\n _x = val1.state\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.ip\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v15 = val1.conn_stats\n _x = _v15\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\n length = len(val1.rapps)\n buff.write(_struct_I.pack(length))\n for val2 in val1.rapps:\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.display_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.compatibility\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.status\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.implementations)\n buff.write(_struct_I.pack(length))\n for val3 in val2.implementations:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n _x = val2.preferred\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v16 = val2.icon\n _x = _v16.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v16.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v16.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_interface)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_interface:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_parameters)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_parameters:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self) -> bytes:\n pass","def serialize(self) -> bytes:\n pass","def serialize(msg) -> str:\n try:\n return json.dumps(msg, separators=(',', ':'))\n except json.JSONDecodeError as err:\n return err.msg","def serialize(self, buff):\n try:\n buff.write(_get_struct_645f().pack(*self.Rscanpose))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n length = len(self.cnt)\n buff.write(_struct_I.pack(length))\n for val1 in self.cnt:\n _v1 = val1.header\n buff.write(_get_struct_I().pack(_v1.seq))\n _v2 = _v1.stamp\n _x = _v2\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_i().pack(val1.devadd))\n _v3 = val1.now\n _x = _v3\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n buff.write(_get_struct_I().pack(val1.encounter))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def to_bytes(self):\n\t\treturn self.buffer.tobytes();","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_H2BiIbB4H2B3I().pack(_x.mask, _x.dynModel, _x.fixMode, _x.fixedAlt, _x.fixedAltVar, _x.minElev, _x.drLimit, _x.pDop, _x.tDop, _x.pAcc, _x.tAcc, _x.staticHoldThresh, _x.dgpsTimeOut, _x.reserved2, _x.reserved3, _x.reserved4))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.planning_scene.robot_state.joint_state.header.seq, _x.planning_scene.robot_state.joint_state.header.stamp.secs, _x.planning_scene.robot_state.joint_state.header.stamp.nsecs))\n _x = self.planning_scene.robot_state.joint_state.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.planning_scene.robot_state.joint_state.name)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.robot_state.joint_state.name:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene.robot_state.joint_state.position)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.planning_scene.robot_state.joint_state.position))\n length = len(self.planning_scene.robot_state.joint_state.velocity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.planning_scene.robot_state.joint_state.velocity))\n length = len(self.planning_scene.robot_state.joint_state.effort)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.planning_scene.robot_state.joint_state.effort))\n _x = self\n buff.write(_struct_2I.pack(_x.planning_scene.robot_state.multi_dof_joint_state.stamp.secs, _x.planning_scene.robot_state.multi_dof_joint_state.stamp.nsecs))\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.joint_names)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.joint_names:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.frame_ids)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.frame_ids:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.child_frame_ids)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.child_frame_ids:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.poses)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.poses:\n _v113 = val1.position\n _x = _v113\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v114 = val1.orientation\n _x = _v114\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.planning_scene.fixed_frame_transforms)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.fixed_frame_transforms:\n _v115 = val1.header\n buff.write(_struct_I.pack(_v115.seq))\n _v116 = _v115.stamp\n _x = _v116\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v115.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.child_frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v117 = val1.transform\n _v118 = _v117.translation\n _x = _v118\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v119 = _v117.rotation\n _x = _v119\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.planning_scene.allowed_collision_matrix.link_names)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.allowed_collision_matrix.link_names:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene.allowed_collision_matrix.entries)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.allowed_collision_matrix.entries:\n length = len(val1.enabled)\n buff.write(_struct_I.pack(length))\n pattern = '<%sB'%length\n buff.write(struct.pack(pattern, *val1.enabled))\n length = len(self.planning_scene.allowed_contacts)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.allowed_contacts:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v120 = val1.shape\n buff.write(_struct_b.pack(_v120.type))\n length = len(_v120.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *_v120.dimensions))\n length = len(_v120.triangles)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(struct.pack(pattern, *_v120.triangles))\n length = len(_v120.vertices)\n buff.write(_struct_I.pack(length))\n for val3 in _v120.vertices:\n _x = val3\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v121 = val1.pose_stamped\n _v122 = _v121.header\n buff.write(_struct_I.pack(_v122.seq))\n _v123 = _v122.stamp\n _x = _v123\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v122.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v124 = _v121.pose\n _v125 = _v124.position\n _x = _v125\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v126 = _v124.orientation\n _x = _v126\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(val1.link_names)\n buff.write(_struct_I.pack(length))\n for val2 in val1.link_names:\n length = len(val2)\n if python3 or type(val2) == unicode:\n val2 = val2.encode('utf-8')\n length = len(val2)\n buff.write(struct.pack('<I%ss'%length, length, val2))\n buff.write(_struct_d.pack(val1.penetration_depth))\n length = len(self.planning_scene.link_padding)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.link_padding:\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_d.pack(val1.padding))\n length = len(self.planning_scene.collision_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.collision_objects:\n _v127 = val1.header\n buff.write(_struct_I.pack(_v127.seq))\n _v128 = _v127.stamp\n _x = _v128\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v127.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(val1.padding))\n _v129 = val1.operation\n buff.write(_struct_b.pack(_v129.operation))\n length = len(val1.shapes)\n buff.write(_struct_I.pack(length))\n for val2 in val1.shapes:\n buff.write(_struct_b.pack(val2.type))\n length = len(val2.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *val2.dimensions))\n length = len(val2.triangles)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(struct.pack(pattern, *val2.triangles))\n length = len(val2.vertices)\n buff.write(_struct_I.pack(length))\n for val3 in val2.vertices:\n _x = val3\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n length = len(val1.poses)\n buff.write(_struct_I.pack(length))\n for val2 in val1.poses:\n _v130 = val2.position\n _x = _v130\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v131 = val2.orientation\n _x = _v131\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.planning_scene.attached_collision_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.attached_collision_objects:\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v132 = val1.object\n _v133 = _v132.header\n buff.write(_struct_I.pack(_v133.seq))\n _v134 = _v133.stamp\n _x = _v134\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v133.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v132.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(_v132.padding))\n _v135 = _v132.operation\n buff.write(_struct_b.pack(_v135.operation))\n length = len(_v132.shapes)\n buff.write(_struct_I.pack(length))\n for val3 in _v132.shapes:\n buff.write(_struct_b.pack(val3.type))\n length = len(val3.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *val3.dimensions))\n length = len(val3.triangles)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(struct.pack(pattern, *val3.triangles))\n length = len(val3.vertices)\n buff.write(_struct_I.pack(length))\n for val4 in val3.vertices:\n _x = val4\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n length = len(_v132.poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v132.poses:\n _v136 = val3.position\n _x = _v136\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v137 = val3.orientation\n _x = _v137\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(val1.touch_links)\n buff.write(_struct_I.pack(length))\n for val2 in val1.touch_links:\n length = len(val2)\n if python3 or type(val2) == unicode:\n val2 = val2.encode('utf-8')\n length = len(val2)\n buff.write(struct.pack('<I%ss'%length, length, val2))\n _x = self\n buff.write(_struct_3I.pack(_x.planning_scene.collision_map.header.seq, _x.planning_scene.collision_map.header.stamp.secs, _x.planning_scene.collision_map.header.stamp.nsecs))\n _x = self.planning_scene.collision_map.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.planning_scene.collision_map.boxes)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.collision_map.boxes:\n _v138 = val1.center\n _x = _v138\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n _v139 = val1.extents\n _x = _v139\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n _v140 = val1.axis\n _x = _v140\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n buff.write(_struct_f.pack(val1.angle))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_b7d().pack(_x.decision, _x.distance, _x.oriX, _x.oriY, _x.oriZ, _x.placX, _x.placY, _x.placZ))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_BQ().pack(_x.Front_sens.ID, _x.Front_sens.timestamp))\n buff.write(_get_struct_3d().pack(*self.Front_sens.compass))\n buff.write(_get_struct_3d().pack(*self.Front_sens.gyro))\n buff.write(_get_struct_3d().pack(*self.Front_sens.accel))\n buff.write(_get_struct_3d().pack(*self.Front_sens.fusionPose))\n buff.write(_get_struct_4d().pack(*self.Front_sens.fusionQPose))\n _x = self\n buff.write(_get_struct_BQ().pack(_x.Rear_sens.ID, _x.Rear_sens.timestamp))\n buff.write(_get_struct_3d().pack(*self.Rear_sens.compass))\n buff.write(_get_struct_3d().pack(*self.Rear_sens.gyro))\n buff.write(_get_struct_3d().pack(*self.Rear_sens.accel))\n buff.write(_get_struct_3d().pack(*self.Rear_sens.fusionPose))\n buff.write(_get_struct_4d().pack(*self.Rear_sens.fusionQPose))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.planning_scene_diff.robot_state.joint_state.header.seq, _x.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs))\n _x = self.planning_scene_diff.robot_state.joint_state.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.planning_scene_diff.robot_state.joint_state.name)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.robot_state.joint_state.name:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene_diff.robot_state.joint_state.position)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.planning_scene_diff.robot_state.joint_state.position))\n length = len(self.planning_scene_diff.robot_state.joint_state.velocity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.planning_scene_diff.robot_state.joint_state.velocity))\n length = len(self.planning_scene_diff.robot_state.joint_state.effort)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.planning_scene_diff.robot_state.joint_state.effort))\n _x = self\n buff.write(_struct_2I.pack(_x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.secs, _x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.nsecs))\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.poses)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.poses:\n _v1 = val1.position\n _x = _v1\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v2 = val1.orientation\n _x = _v2\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.planning_scene_diff.fixed_frame_transforms)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.fixed_frame_transforms:\n _v3 = val1.header\n buff.write(_struct_I.pack(_v3.seq))\n _v4 = _v3.stamp\n _x = _v4\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v3.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.child_frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v5 = val1.transform\n _v6 = _v5.translation\n _x = _v6\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v7 = _v5.rotation\n _x = _v7\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.planning_scene_diff.allowed_collision_matrix.link_names)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.allowed_collision_matrix.link_names:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene_diff.allowed_collision_matrix.entries)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.allowed_collision_matrix.entries:\n length = len(val1.enabled)\n buff.write(_struct_I.pack(length))\n pattern = '<%sB'%length\n buff.write(struct.pack(pattern, *val1.enabled))\n length = len(self.planning_scene_diff.allowed_contacts)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.allowed_contacts:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v8 = val1.shape\n buff.write(_struct_b.pack(_v8.type))\n length = len(_v8.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *_v8.dimensions))\n length = len(_v8.triangles)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(struct.pack(pattern, *_v8.triangles))\n length = len(_v8.vertices)\n buff.write(_struct_I.pack(length))\n for val3 in _v8.vertices:\n _x = val3\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v9 = val1.pose_stamped\n _v10 = _v9.header\n buff.write(_struct_I.pack(_v10.seq))\n _v11 = _v10.stamp\n _x = _v11\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v10.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v12 = _v9.pose\n _v13 = _v12.position\n _x = _v13\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v14 = _v12.orientation\n _x = _v14\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(val1.link_names)\n buff.write(_struct_I.pack(length))\n for val2 in val1.link_names:\n length = len(val2)\n if python3 or type(val2) == unicode:\n val2 = val2.encode('utf-8')\n length = len(val2)\n buff.write(struct.pack('<I%ss'%length, length, val2))\n buff.write(_struct_d.pack(val1.penetration_depth))\n length = len(self.planning_scene_diff.link_padding)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.link_padding:\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_d.pack(val1.padding))\n length = len(self.planning_scene_diff.collision_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.collision_objects:\n _v15 = val1.header\n buff.write(_struct_I.pack(_v15.seq))\n _v16 = _v15.stamp\n _x = _v16\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v15.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(val1.padding))\n _v17 = val1.operation\n buff.write(_struct_b.pack(_v17.operation))\n length = len(val1.shapes)\n buff.write(_struct_I.pack(length))\n for val2 in val1.shapes:\n buff.write(_struct_b.pack(val2.type))\n length = len(val2.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *val2.dimensions))\n length = len(val2.triangles)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(struct.pack(pattern, *val2.triangles))\n length = len(val2.vertices)\n buff.write(_struct_I.pack(length))\n for val3 in val2.vertices:\n _x = val3\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n length = len(val1.poses)\n buff.write(_struct_I.pack(length))\n for val2 in val1.poses:\n _v18 = val2.position\n _x = _v18\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v19 = val2.orientation\n _x = _v19\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.planning_scene_diff.attached_collision_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.attached_collision_objects:\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v20 = val1.object\n _v21 = _v20.header\n buff.write(_struct_I.pack(_v21.seq))\n _v22 = _v21.stamp\n _x = _v22\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v21.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v20.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(_v20.padding))\n _v23 = _v20.operation\n buff.write(_struct_b.pack(_v23.operation))\n length = len(_v20.shapes)\n buff.write(_struct_I.pack(length))\n for val3 in _v20.shapes:\n buff.write(_struct_b.pack(val3.type))\n length = len(val3.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *val3.dimensions))\n length = len(val3.triangles)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(struct.pack(pattern, *val3.triangles))\n length = len(val3.vertices)\n buff.write(_struct_I.pack(length))\n for val4 in val3.vertices:\n _x = val4\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n length = len(_v20.poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v20.poses:\n _v24 = val3.position\n _x = _v24\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v25 = val3.orientation\n _x = _v25\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(val1.touch_links)\n buff.write(_struct_I.pack(length))\n for val2 in val1.touch_links:\n length = len(val2)\n if python3 or type(val2) == unicode:\n val2 = val2.encode('utf-8')\n length = len(val2)\n buff.write(struct.pack('<I%ss'%length, length, val2))\n _x = self\n buff.write(_struct_3I.pack(_x.planning_scene_diff.collision_map.header.seq, _x.planning_scene_diff.collision_map.header.stamp.secs, _x.planning_scene_diff.collision_map.header.stamp.nsecs))\n _x = self.planning_scene_diff.collision_map.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.planning_scene_diff.collision_map.boxes)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.collision_map.boxes:\n _v26 = val1.center\n _x = _v26\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n _v27 = val1.extents\n _x = _v27\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n _v28 = val1.axis\n _x = _v28\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n buff.write(_struct_f.pack(val1.angle))\n length = len(self.operations.collision_operations)\n buff.write(_struct_I.pack(length))\n for val1 in self.operations.collision_operations:\n _x = val1.object1\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.object2\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_struct_di.pack(_x.penetration_distance, _x.operation))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs))\n _x = self.model_aligned.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.model_aligned.id))\n _x = self.model_aligned.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.model_aligned.params)\n buff.write(_struct_I.pack(length))\n for val1 in self.model_aligned.params:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_struct_dB.pack(_x.value, _x.type))\n _x = self\n buff.write(_struct_3I.pack(_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs))\n _x = self.model_aligned.track.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.model_aligned.track.id))\n length = len(self.model_aligned.track.pose)\n buff.write(_struct_I.pack(length))\n for val1 in self.model_aligned.track.pose:\n _v57 = val1.position\n _x = _v57\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v58 = val1.orientation\n _x = _v58\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.model_aligned.track.pose_headers)\n buff.write(_struct_I.pack(length))\n for val1 in self.model_aligned.track.pose_headers:\n buff.write(_struct_I.pack(val1.seq))\n _v59 = val1.stamp\n _x = _v59\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = val1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.model_aligned.track.pose_projected)\n buff.write(_struct_I.pack(length))\n for val1 in self.model_aligned.track.pose_projected:\n _v60 = val1.position\n _x = _v60\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v61 = val1.orientation\n _x = _v61\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.model_aligned.track.pose_resampled)\n buff.write(_struct_I.pack(length))\n for val1 in self.model_aligned.track.pose_resampled:\n _v62 = val1.position\n _x = _v62\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v63 = val1.orientation\n _x = _v63\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.model_aligned.track.pose_flags)\n buff.write(_struct_I.pack(length))\n pattern = '<%sI'%length\n buff.write(struct.pack(pattern, *self.model_aligned.track.pose_flags))\n length = len(self.model_aligned.track.channels)\n buff.write(_struct_I.pack(length))\n for val1 in self.model_aligned.track.channels:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.values)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(struct.pack(pattern, *val1.values))\n _x = self\n buff.write(_struct_3I.pack(_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs))\n _x = self.data_aligned.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.data_aligned.id))\n _x = self.data_aligned.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.data_aligned.params)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_aligned.params:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_struct_dB.pack(_x.value, _x.type))\n _x = self\n buff.write(_struct_3I.pack(_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs))\n _x = self.data_aligned.track.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.data_aligned.track.id))\n length = len(self.data_aligned.track.pose)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_aligned.track.pose:\n _v64 = val1.position\n _x = _v64\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v65 = val1.orientation\n _x = _v65\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.data_aligned.track.pose_headers)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_aligned.track.pose_headers:\n buff.write(_struct_I.pack(val1.seq))\n _v66 = val1.stamp\n _x = _v66\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = val1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.data_aligned.track.pose_projected)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_aligned.track.pose_projected:\n _v67 = val1.position\n _x = _v67\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v68 = val1.orientation\n _x = _v68\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.data_aligned.track.pose_resampled)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_aligned.track.pose_resampled:\n _v69 = val1.position\n _x = _v69\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v70 = val1.orientation\n _x = _v70\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.data_aligned.track.pose_flags)\n buff.write(_struct_I.pack(length))\n pattern = '<%sI'%length\n buff.write(struct.pack(pattern, *self.data_aligned.track.pose_flags))\n length = len(self.data_aligned.track.channels)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_aligned.track.channels:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.values)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(struct.pack(pattern, *val1.values))\n buff.write(_struct_9d.pack(*self.R))\n buff.write(_struct_3d.pack(*self.T))\n _x = self\n buff.write(_struct_df.pack(_x.dist_rot, _x.dist_trans))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_9B.pack(_x.dvl_sts, _x.svs_sts, _x.fog_sts, _x.nav_sts, _x.bat_sts, _x.t_sts, _x.h_sts, _x.p_sts, _x.water_sts))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_3I().pack(_x.obstacleinfo.header.seq, _x.obstacleinfo.header.stamp.secs, _x.obstacleinfo.header.stamp.nsecs))\n _x = self.obstacleinfo.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.obstacleinfo.pos)\n buff.write(_struct_I.pack(length))\n for val1 in self.obstacleinfo.pos:\n _x = val1\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n length = len(self.obstacleinfo.polar_pos)\n buff.write(_struct_I.pack(length))\n for val1 in self.obstacleinfo.polar_pos:\n _x = val1\n buff.write(_get_struct_2f().pack(_x.angle, _x.radius))\n _x = self\n buff.write(_get_struct_3I().pack(_x.oppinfo.header.seq, _x.oppinfo.header.stamp.secs, _x.oppinfo.header.stamp.nsecs))\n _x = self.oppinfo.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.oppinfo.pos)\n buff.write(_struct_I.pack(length))\n for val1 in self.oppinfo.pos:\n _x = val1\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n length = len(self.oppinfo.polar_pos)\n buff.write(_struct_I.pack(length))\n for val1 in self.oppinfo.polar_pos:\n _x = val1\n buff.write(_get_struct_2f().pack(_x.angle, _x.radius))\n length = len(self.robotinfo)\n buff.write(_struct_I.pack(length))\n for val1 in self.robotinfo:\n _v1 = val1.header\n buff.write(_get_struct_I().pack(_v1.seq))\n _v2 = _v1.stamp\n _x = _v2\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_get_struct_7i().pack(_x.AgentID, _x.targetNum1, _x.targetNum2, _x.targetNum3, _x.targetNum4, _x.staticpassNum, _x.staticcatchNum))\n _v3 = val1.pos\n _x = _v3\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n _v4 = val1.heading\n buff.write(_get_struct_f().pack(_v4.theta))\n buff.write(_get_struct_f().pack(val1.vrot))\n _v5 = val1.vtrans\n _x = _v5\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n _x = val1\n buff.write(_get_struct_5Bf().pack(_x.iskick, _x.isvalid, _x.isstuck, _x.isdribble, _x.current_role, _x.role_time))\n _v6 = val1.target\n _x = _v6\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n length = len(self.ballinfo)\n buff.write(_struct_I.pack(length))\n for val1 in self.ballinfo:\n _v7 = val1.header\n buff.write(_get_struct_I().pack(_v7.seq))\n _v8 = _v7.stamp\n _x = _v8\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v7.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_i().pack(val1.ballinfostate))\n _v9 = val1.pos\n _x = _v9\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n _v10 = val1.real_pos\n _x = _v10\n buff.write(_get_struct_2f().pack(_x.angle, _x.radius))\n _v11 = val1.velocity\n _x = _v11\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n _x = val1\n buff.write(_get_struct_2B().pack(_x.pos_known, _x.velocity_known))\n _x = self\n buff.write(_get_struct_3I().pack(_x.coachinfo.header.seq, _x.coachinfo.header.stamp.secs, _x.coachinfo.header.stamp.nsecs))\n _x = self.coachinfo.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_3B4f2h3B2I4f4B().pack(_x.coachinfo.MatchMode, _x.coachinfo.MatchType, _x.coachinfo.TestMode, _x.coachinfo.pointA.x, _x.coachinfo.pointA.y, _x.coachinfo.pointB.x, _x.coachinfo.pointB.y, _x.coachinfo.angleA, _x.coachinfo.angleB, _x.coachinfo.idA, _x.coachinfo.idB, _x.coachinfo.kickforce, _x.pass_cmd.pass_id, _x.pass_cmd.catch_id, _x.pass_cmd.pass_pt.x, _x.pass_cmd.pass_pt.y, _x.pass_cmd.catch_pt.x, _x.pass_cmd.catch_pt.y, _x.pass_cmd.is_passout, _x.pass_cmd.is_dynamic_pass, _x.pass_cmd.is_static_pass, _x.pass_cmd.is_valid))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self.sim_step\n buff.write(_get_struct_I().pack(_x))\n _x = self.type.data\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self.parent_name.data\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self.name.data\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_2f7dI().pack(_x.wall_time, _x.sim_time, _x.pose.position.x, _x.pose.position.y, _x.pose.position.z, _x.pose.orientation.x, _x.pose.orientation.y, _x.pose.orientation.z, _x.pose.orientation.w, _x.count))\n length = len(self.triggered)\n buff.write(_struct_I.pack(length))\n pattern = '<%sB'%length\n buff.write(struct.Struct(pattern).pack(*self.triggered))\n length = len(self.range)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(struct.Struct(pattern).pack(*self.range))\n length = len(self.measurement)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(struct.Struct(pattern).pack(*self.measurement))\n length = len(self.sensed_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.sensed_objects:\n _x = val1.data\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self.sensed_objects_map\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\n else:\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_QBdB2I().pack(_x.step_num, _x.info_type, _x.predict.step_dt, _x.predict.trans_jacobian.column_major, _x.predict.trans_jacobian.rows, _x.predict.trans_jacobian.cols))\n length = len(self.predict.trans_jacobian.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.predict.trans_jacobian.data))\n _x = self\n buff.write(_get_struct_B2I().pack(_x.predict.trans_noise_cov.column_major, _x.predict.trans_noise_cov.rows, _x.predict.trans_noise_cov.cols))\n length = len(self.predict.trans_noise_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.predict.trans_noise_cov.data))\n _x = self\n buff.write(_get_struct_B2I().pack(_x.predict.prior_state_cov.column_major, _x.predict.prior_state_cov.rows, _x.predict.prior_state_cov.cols))\n length = len(self.predict.prior_state_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.predict.prior_state_cov.data))\n _x = self\n buff.write(_get_struct_B2I().pack(_x.predict.post_state_cov.column_major, _x.predict.post_state_cov.rows, _x.predict.post_state_cov.cols))\n length = len(self.predict.post_state_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.predict.post_state_cov.data))\n _x = self\n buff.write(_get_struct_B2I().pack(_x.update.prior_state_cov.column_major, _x.update.prior_state_cov.rows, _x.update.prior_state_cov.cols))\n length = len(self.update.prior_state_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.update.prior_state_cov.data))\n length = len(self.update.prior_obs_error)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.update.prior_obs_error))\n _x = self\n buff.write(_get_struct_B2I().pack(_x.update.obs_error_cov.column_major, _x.update.obs_error_cov.rows, _x.update.obs_error_cov.cols))\n length = len(self.update.obs_error_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.update.obs_error_cov.data))\n _x = self\n buff.write(_get_struct_B2I().pack(_x.update.post_state_cov.column_major, _x.update.post_state_cov.rows, _x.update.post_state_cov.cols))\n length = len(self.update.post_state_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.update.post_state_cov.data))\n length = len(self.update.state_delta)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.update.state_delta))\n length = len(self.update.post_obs_error)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.update.post_obs_error))\n _x = self\n buff.write(_get_struct_B2I().pack(_x.update.obs_jacobian.column_major, _x.update.obs_jacobian.rows, _x.update.obs_jacobian.cols))\n length = len(self.update.obs_jacobian.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.update.obs_jacobian.data))\n _x = self\n buff.write(_get_struct_B2I().pack(_x.update.obs_noise_cov.column_major, _x.update.obs_noise_cov.rows, _x.update.obs_noise_cov.cols))\n length = len(self.update.obs_noise_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(struct.pack(pattern, *self.update.obs_noise_cov.data))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.namespace\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.prefixes)\n buff.write(_struct_I.pack(length))\n for val1 in self.prefixes:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.prefix\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.imports)\n buff.write(_struct_I.pack(length))\n for val1 in self.imports:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *val1))\n else:\n buff.write(struct.pack('<I%ss'%length, length, val1))\n _x = self.address.room_nr\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.address.floor_nr\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.address.street_nr\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.address.street_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.address.city_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.objects:\n _v1 = val1.header\n buff.write(_struct_I.pack(_v1.seq))\n _v2 = _v1.stamp\n _x = _v2\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.type\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v3 = val1.size\n _x = _v3\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n _v4 = val1.pose\n _v5 = _v4.position\n _x = _v5\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v6 = _v4.orientation\n _x = _v6\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n _x = val1.part_of\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.actions)\n buff.write(_struct_I.pack(length))\n for val1 in self.actions:\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.type\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_B.pack(val1.asserted))\n _x = val1.object_acted_on\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.subactions)\n buff.write(_struct_I.pack(length))\n for val2 in val1.subactions:\n length = len(val2)\n if python3 or type(val2) == unicode:\n val2 = val2.encode('utf-8')\n length = len(val2)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *val2))\n else:\n buff.write(struct.pack('<I%ss'%length, length, val2))\n _x = val1\n buff.write(_struct_bB.pack(_x.quantification, _x.unordered))\n length = len(self.object_properties)\n buff.write(_struct_I.pack(length))\n for val1 in self.object_properties:\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.subject\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.object\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.data_properties)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_properties:\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.subject\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_B.pack(val1.value_type))\n _x = val1.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize(self, buff):\n try:\n _x = self\n buff.write(_get_struct_6d2I2iB().pack(_x.x, _x.y, _x.z, _x.yaw, _x.v_des, _x.a_des, _x.t_start.secs, _x.t_start.nsecs, _x.duration.secs, _x.duration.nsecs, _x.relative))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def to_buffer(self) -> bytearray:\n packet = bytearray()\n packet.extend(\n struct.pack(\n \"!ccccHH\",\n \"D\".encode(\"ascii\"),\n \"L\".encode(\"ascii\"),\n \"E\".encode(\"ascii\"),\n \"P\".encode(\"ascii\"),\n int(self.type),\n self.len,\n )\n )\n return packet"],"string":"[\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_2d2q14dq.pack(_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret))\\n _x = self.msg\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def _send_serialized(self, socket, msg):\\n socket.send(pickle.dumps(msg))\",\n \"def serialize_message(self) -> bytes:\\n return self.compile_message().serialize()\",\n \"def serialize(self, buff):\\n try:\\n pass\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize(self, buff):\\n try:\\n pass\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def into_buffer(self, buf, offset):\\n self.payload = containerize(exclude_fields(self))\\n self.parser = MsgEd25519SignatureDepB._parser\\n self.stream_payload.reset(buf, offset)\\n return self.pack_into(buf, offset, self._build_payload)\",\n \"def serialize(self):\\n messageLen = len(self._messageBuf) + 1 # 1 byte for the message type\\n header = pack(self.headerFormat, messageLen)\\n msgType = pack(self.messageTypeFormat, self.messageType)\\n payload = bytes(self._messageBuf)\\n return header + msgType + payload\",\n \"def serialize(self, buff):\\n try:\\n pass\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def serialize(self):\\n\\n # The len must be multiple of 4 bits to convert unambiguously\\n\\n id_len = self.id.bit_length()\\n while (id_len % 4)!= 0:\\n id_len += 1\\n if self.payload:\\n pay_len = self.payload.bit_length()\\n while (pay_len % 4)!= 0:\\n pay_len += 1\\n else: pay_len = 0\\n if self.command:\\n com_len = self.command.bit_length()\\n while (com_len % 4)!= 0:\\n com_len += 1\\n else: com_len = 0\\n\\n values = {\\n \\\"id\\\": self.id,\\n \\\"id_len\\\": id_len,\\n \\\"payload\\\": self.payload,\\n \\\"payload_len\\\": pay_len,\\n \\\"command\\\": self.command,\\n \\\"command_len\\\": com_len\\n }\\n\\n\\n if self.id == Message.MEASURE or self.id == Message.SINGLE_MEASURE:\\n serial_format = (\\n \\\"uint:id_len=id, bits:payload_len=payload, bits:command_len = command, 0x0D0A\\\"\\n )\\n else:\\n serial_format = (\\n \\\"0x23, uint:id_len=id, bits:payload_len=payload, bits:command_len = command, 0x0D0A\\\"\\n )\\n\\n message = bitstring.pack(serial_format, **values)\\n\\n rospy.logdebug(\\\"Sent command '0x%s'\\\", message.hex)\\n\\n return message.tobytes()\",\n \"def write_message(message):\\n\\n return message.to_bytes()\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_I().pack(self.robot_id.id))\\n _x = self.robot_id.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.agv_msg.header.seq, _x.agv_msg.header.stamp.secs, _x.agv_msg.header.stamp.nsecs))\\n _x = self.agv_msg.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_I().pack(self.agv_msg.vehicle_id.id))\\n _x = self.agv_msg.vehicle_id.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_21f().pack(_x.agv_msg.left_size, _x.agv_msg.right_size, _x.agv_msg.front_size, _x.agv_msg.rear_size, _x.agv_msg.min_height, _x.agv_msg.max_height, _x.agv_msg.payload, _x.agv_msg.max_pos_x_vel, _x.agv_msg.max_neg_x_vel, _x.agv_msg.max_pos_x_acc, _x.agv_msg.max_neg_x_acc, _x.agv_msg.max_pos_y_vel, _x.agv_msg.max_neg_y_vel, _x.agv_msg.max_pos_y_acc, _x.agv_msg.max_neg_y_acc, _x.agv_msg.max_pos_ang_vel, _x.agv_msg.max_neg_ang_vel, _x.agv_msg.velocity_control_sensitivity, _x.agv_msg.min_turning_radius, _x.agv_msg.batt_capacity, _x.agv_msg.batt_max_voltage))\\n _x = self.agv_msg.vehicle_type\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.agv_msg.vendor\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.agv_msg.action_capability)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.agv_msg.action_capability:\\n _x = val1\\n buff.write(_get_struct_2B().pack(_x.category, _x.action))\\n length = len(val1.attributes)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.attributes:\\n _x = val2.type\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.canmsg\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_Bf2B2f2B2fBf().pack(_x.track_id, _x.track_lat_rate, _x.track_group_changed, _x.track_status, _x.track_angle, _x.track_range, _x.track_bridge_object, _x.track_rolling_count, _x.track_width, _x.track_range_accel, _x.track_med_range_mode, _x.track_range_rate))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def into_buffer(self, buf, offset):\\n self.payload = containerize(exclude_fields(self))\\n self.parser = MsgEcdsaSignature._parser\\n self.stream_payload.reset(buf, offset)\\n return self.pack_into(buf, offset, self._build_payload)\",\n \"def serialize(self, buff):\\n try:\\n length = len(self.name)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.name:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.position)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.position))\\n length = len(self.velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.velocity))\\n length = len(self.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.effort))\\n length = len(self.position_command)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.position_command))\\n length = len(self.velocity_command)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.velocity_command))\\n length = len(self.effort_command)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.effort_command))\\n length = len(self.accelerometer)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.accelerometer:\\n _x = val1\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(self.gyro)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.gyro:\\n _x = val1\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(self.orientation)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.orientation:\\n _x = val1\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.deflection)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.deflection))\\n length = len(self.deflection_velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.deflection_velocity))\\n length = len(self.motor_velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.motor_velocity))\\n length = len(self.motor_current)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.motor_current))\\n length = len(self.motor_winding_current)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.motor_winding_current))\\n length = len(self.motor_sensor_temperature)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.motor_sensor_temperature))\\n length = len(self.motor_winding_temperature)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.motor_winding_temperature))\\n length = len(self.motor_housing_temperature)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.motor_housing_temperature))\\n length = len(self.board_temperature)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.board_temperature))\\n length = len(self.processor_temperature)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.processor_temperature))\\n length = len(self.voltage)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.voltage))\\n length = len(self.led_color)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.led_color:\\n _x = val1\\n buff.write(_get_struct_4f().pack(_x.r, _x.g, _x.b, _x.a))\\n length = len(self.sequence_number)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sQ'%length\\n buff.write(struct.pack(pattern, *self.sequence_number))\\n length = len(self.receive_time)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sQ'%length\\n buff.write(struct.pack(pattern, *self.receive_time))\\n length = len(self.transmit_time)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sQ'%length\\n buff.write(struct.pack(pattern, *self.transmit_time))\\n length = len(self.hardware_receive_time)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sQ'%length\\n buff.write(struct.pack(pattern, *self.hardware_receive_time))\\n length = len(self.hardware_transmit_time)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sQ'%length\\n buff.write(struct.pack(pattern, *self.hardware_transmit_time))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def pack(self,buffer):\\n buffer.append(self.data)\",\n \"def into_buffer(self, buf, offset):\\n self.payload = containerize(exclude_fields(self))\\n self.parser = MsgEd25519SignatureDepA._parser\\n self.stream_payload.reset(buf, offset)\\n return self.pack_into(buf, offset, self._build_payload)\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_2B2If().pack(_x.role, _x.id, _x.local_time, _x.system_time, _x.voltage))\\n buff.write(_get_struct_3f().pack(*self.pos_3d))\\n buff.write(_get_struct_3f().pack(*self.eop_3d))\\n buff.write(_get_struct_3f().pack(*self.vel_3d))\\n buff.write(_get_struct_3f().pack(*self.angle_3d))\\n buff.write(_get_struct_4f().pack(*self.quaternion))\\n buff.write(_get_struct_3f().pack(*self.imu_gyro_3d))\\n buff.write(_get_struct_3f().pack(*self.imu_acc_3d))\\n length = len(self.nodes)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.nodes:\\n _x = val1\\n buff.write(_get_struct_2B3f().pack(_x.role, _x.id, _x.dis, _x.fp_rssi, _x.rx_rssi))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.cmd\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.cat\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def into_buffer(self, buf, offset):\\n self.payload = containerize(exclude_fields(self))\\n self.parser = MsgEcdsaSignatureDepB._parser\\n self.stream_payload.reset(buf, offset)\\n return self.pack_into(buf, offset, self._build_payload)\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_ihih3i3d2i2d().pack(_x.originId, _x.originType, _x.destinationId, _x.destinationType, _x.range, _x.ts, _x.seq, _x.rxPower, _x.channel, _x.datarate, _x.prf, _x.preambleLength, _x.txGain, _x.angle))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def into_buffer(self, buf, offset):\\n self.payload = containerize(exclude_fields(self))\\n self.parser = MsgCertificateChain._parser\\n self.stream_payload.reset(buf, offset)\\n return self.pack_into(buf, offset, self._build_payload)\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_12B.pack(_x.hlive, _x.hstate, _x.hfinished, _x.pressure, _x.c1, _x.c2, _x.c3, _x.c4, _x.c5, _x.c6, _x.c7, _x.c8))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_ih2B().pack(_x.rcvTOW, _x.week, _x.numSV, _x.reserved1))\\n length = len(self.sv)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.sv:\\n _x = val1\\n buff.write(_get_struct_2dfB2bB().pack(_x.cpMes, _x.prMes, _x.doMes, _x.sv, _x.mesQI, _x.cno, _x.lli))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_2ib6d12B().pack(_x.Timestamp_sec, _x.Timestamp_nsec, _x.IdModulo, _x.InputVolA, _x.InputVolB, _x.InputCorrA, _x.InputCorrB, _x.OutputAnlg1, _x.OutputAnlg2, _x.InputDig1, _x.InputDig2, _x.InputDig3, _x.InputDig4, _x.OutputDig1, _x.OutputDig2, _x.OutputDig3, _x.OutputDig4, _x.OutputDig5, _x.OutputDig6, _x.OutputDig7, _x.OutputDig8))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_i3I().pack(_x.messageID, _x.localStamp.header.seq, _x.localStamp.header.stamp.secs, _x.localStamp.header.stamp.nsecs))\\n _x = self.localStamp.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_4d().pack(_x.localStamp.time, _x.localStamp.lat, _x.localStamp.lng, _x.localStamp.height))\\n buff.write(_get_struct_3d().pack(*self.localStamp.position))\\n buff.write(_get_struct_3d().pack(*self.localStamp.orientation))\\n buff.write(_get_struct_3d().pack(*self.localStamp.linearSpeed))\\n buff.write(_get_struct_3d().pack(*self.localStamp.angularSpeed))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.globalStamp.header.seq, _x.globalStamp.header.stamp.secs, _x.globalStamp.header.stamp.nsecs))\\n _x = self.globalStamp.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_4d().pack(_x.globalStamp.time, _x.globalStamp.lat, _x.globalStamp.lng, _x.globalStamp.height))\\n buff.write(_get_struct_3d().pack(*self.globalStamp.position))\\n buff.write(_get_struct_3d().pack(*self.globalStamp.orientation))\\n buff.write(_get_struct_3d().pack(*self.globalStamp.linearSpeed))\\n buff.write(_get_struct_3d().pack(*self.globalStamp.angularSpeed))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.camera.header.seq, _x.camera.header.stamp.secs, _x.camera.header.stamp.nsecs))\\n _x = self.camera.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_i3I().pack(_x.camera.messageID, _x.camera.localStamp.header.seq, _x.camera.localStamp.header.stamp.secs, _x.camera.localStamp.header.stamp.nsecs))\\n _x = self.camera.localStamp.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_4d().pack(_x.camera.localStamp.time, _x.camera.localStamp.lat, _x.camera.localStamp.lng, _x.camera.localStamp.height))\\n buff.write(_get_struct_3d().pack(*self.camera.localStamp.position))\\n buff.write(_get_struct_3d().pack(*self.camera.localStamp.orientation))\\n buff.write(_get_struct_3d().pack(*self.camera.localStamp.linearSpeed))\\n buff.write(_get_struct_3d().pack(*self.camera.localStamp.angularSpeed))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.camera.globalStamp.header.seq, _x.camera.globalStamp.header.stamp.secs, _x.camera.globalStamp.header.stamp.nsecs))\\n _x = self.camera.globalStamp.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_4d().pack(_x.camera.globalStamp.time, _x.camera.globalStamp.lat, _x.camera.globalStamp.lng, _x.camera.globalStamp.height))\\n buff.write(_get_struct_3d().pack(*self.camera.globalStamp.position))\\n buff.write(_get_struct_3d().pack(*self.camera.globalStamp.orientation))\\n buff.write(_get_struct_3d().pack(*self.camera.globalStamp.linearSpeed))\\n buff.write(_get_struct_3d().pack(*self.camera.globalStamp.angularSpeed))\\n _x = self\\n buff.write(_get_struct_id().pack(_x.camera.camera_numobstacles, _x.camera.VehSpeed))\\n for val1 in self.camera_obj:\\n _v1 = val1.header\\n buff.write(_get_struct_I().pack(_v1.seq))\\n _v2 = _v1.stamp\\n _x = _v2\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_i().pack(val1.messageID))\\n _v3 = val1.localStamp\\n _v4 = _v3.header\\n buff.write(_get_struct_I().pack(_v4.seq))\\n _v5 = _v4.stamp\\n _x = _v5\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v4.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v3\\n buff.write(_get_struct_4d().pack(_x.time, _x.lat, _x.lng, _x.height))\\n buff.write(_get_struct_3d().pack(*_v3.position))\\n buff.write(_get_struct_3d().pack(*_v3.orientation))\\n buff.write(_get_struct_3d().pack(*_v3.linearSpeed))\\n buff.write(_get_struct_3d().pack(*_v3.angularSpeed))\\n _v6 = val1.globalStamp\\n _v7 = _v6.header\\n buff.write(_get_struct_I().pack(_v7.seq))\\n _v8 = _v7.stamp\\n _x = _v8\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v7.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v6\\n buff.write(_get_struct_4d().pack(_x.time, _x.lat, _x.lng, _x.height))\\n buff.write(_get_struct_3d().pack(*_v6.position))\\n buff.write(_get_struct_3d().pack(*_v6.orientation))\\n buff.write(_get_struct_3d().pack(*_v6.linearSpeed))\\n buff.write(_get_struct_3d().pack(*_v6.angularSpeed))\\n _x = val1\\n buff.write(_get_struct_i2d6i3d3i2d2ididid().pack(_x.camera_obstacle_id, _x.camera_obstacleposx, _x.camera_obstacleposy, _x.blinkerInfo, _x.cut_in_and_out, _x.obstacle_type, _x.obstacle_status, _x.obstacle_valid, _x.obstacles_brake_lights, _x.obstacle_length, _x.obstacle_width, _x.obstacles_velx, _x.obstacleAge, _x.obstacleLane, _x.CIPVFlag, _x.RadarPosX, _x.RadarVelX, _x.RadarMatchConfidence, _x.MatcheRadarID, _x.obstacleAngleRate, _x.obstacles_velY, _x.object_Accel_X, _x.obstacleReplaced, _x.obstacleAngle))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.camera_lane.header.seq, _x.camera_lane.header.stamp.secs, _x.camera_lane.header.stamp.nsecs))\\n _x = self.camera_lane.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_i3I().pack(_x.camera_lane.messageID, _x.camera_lane.localStamp.header.seq, _x.camera_lane.localStamp.header.stamp.secs, _x.camera_lane.localStamp.header.stamp.nsecs))\\n _x = self.camera_lane.localStamp.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_4d().pack(_x.camera_lane.localStamp.time, _x.camera_lane.localStamp.lat, _x.camera_lane.localStamp.lng, _x.camera_lane.localStamp.height))\\n buff.write(_get_struct_3d().pack(*self.camera_lane.localStamp.position))\\n buff.write(_get_struct_3d().pack(*self.camera_lane.localStamp.orientation))\\n buff.write(_get_struct_3d().pack(*self.camera_lane.localStamp.linearSpeed))\\n buff.write(_get_struct_3d().pack(*self.camera_lane.localStamp.angularSpeed))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.camera_lane.globalStamp.header.seq, _x.camera_lane.globalStamp.header.stamp.secs, _x.camera_lane.globalStamp.header.stamp.nsecs))\\n _x = self.camera_lane.globalStamp.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_4d().pack(_x.camera_lane.globalStamp.time, _x.camera_lane.globalStamp.lat, _x.camera_lane.globalStamp.lng, _x.camera_lane.globalStamp.height))\\n buff.write(_get_struct_3d().pack(*self.camera_lane.globalStamp.position))\\n buff.write(_get_struct_3d().pack(*self.camera_lane.globalStamp.orientation))\\n buff.write(_get_struct_3d().pack(*self.camera_lane.globalStamp.linearSpeed))\\n buff.write(_get_struct_3d().pack(*self.camera_lane.globalStamp.angularSpeed))\\n _x = self\\n buff.write(_get_struct_2i3did19i3did21i3did7i3did7i4di().pack(_x.camera_lane.l_numoflaneline, _x.camera_lane.l_lanelineid, _x.camera_lane.l_lanepositon, _x.camera_lane.l_lanecurvature, _x.camera_lane.l_lanecurvaturederivative, _x.camera_lane.l_lane_type, _x.camera_lane.l_heading_angle, _x.camera_lane.l_lane_mark_color, _x.camera_lane.l_laneQuality, _x.camera_lane.l_laneWidthMarking, _x.camera_lane.l_laneViewRangStart, _x.camera_lane.l_laneViewRangEnd, _x.camera_lane.l_laneCrossing, _x.camera_lane.l_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.l_lanePRED_OTHER_SIDE, _x.camera_lane.l_lanePRED_OVERRIDE, _x.camera_lane.l_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.l_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.l_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.l_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.l_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.l_lanePRED_SOURCE_STD, _x.camera_lane.l_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.l_laneTCL, _x.camera_lane.r_numoflaneline, _x.camera_lane.r_lanelineid, _x.camera_lane.r_lanepositon, _x.camera_lane.r_lanecurvature, _x.camera_lane.r_lanecurvaturederivative, _x.camera_lane.r_lane_type, _x.camera_lane.r_heading_angle, _x.camera_lane.r_lane_mark_color, _x.camera_lane.r_laneQuality, _x.camera_lane.r_laneWidthMarking, _x.camera_lane.r_laneViewRangStart, _x.camera_lane.r_laneViewRangEnd, _x.camera_lane.r_laneCrossing, _x.camera_lane.r_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.r_lanePRED_OTHER_SIDE, _x.camera_lane.r_lanePRED_OVERRIDE, _x.camera_lane.r_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.r_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.r_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.r_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.r_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.r_lanePRED_SOURCE_STD, _x.camera_lane.r_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.r_laneTCL, _x.camera_lane.next_l_laneViewRangStart, _x.camera_lane.next_l_laneViewRangEnd, _x.camera_lane.next_l_numoflaneline, _x.camera_lane.next_l_lanelineid, _x.camera_lane.next_l_lanepositon, _x.camera_lane.next_l_lanecurvature, _x.camera_lane.next_l_lanecurvaturederivative, _x.camera_lane.next_l_lane_type, _x.camera_lane.next_l_heading_angle, _x.camera_lane.next_l_lane_mark_color, _x.camera_lane.next_l_laneQuality, _x.camera_lane.next_l_laneWidthMarking, _x.camera_lane.next_r_laneViewRangStart, _x.camera_lane.next_r_laneViewRangEnd, _x.camera_lane.next_r_numoflaneline, _x.camera_lane.next_r_lanelineid, _x.camera_lane.next_r_lanepositon, _x.camera_lane.next_r_lanecurvature, _x.camera_lane.next_r_lanecurvaturederivative, _x.camera_lane.next_r_lane_type, _x.camera_lane.next_r_heading_angle, _x.camera_lane.next_r_lane_mark_color, _x.camera_lane.next_r_laneQuality, _x.camera_lane.next_r_laneWidthMarking, _x.camera_lane.highwayConstructionArea, _x.camera_lane.highwayRoadType, _x.camera_lane.highwayHighwayExitRight, _x.camera_lane.highwayHighwayExitLeft, _x.camera_lane.highwayProbabilityLeftLane, _x.camera_lane.highwayProbabilityRightLane, _x.camera_lane.highwayDriving_peed_left_lane, _x.camera_lane.highwayDriving_peed_right_lane, _x.camera_lane.highwayprotocol_version))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.line)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.line:\\n _x = val1\\n buff.write(_get_struct_4if().pack(_x.x1, _x.y1, _x.x2, _x.y2, _x.color))\\n length = len(self.circle)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.circle:\\n _x = val1\\n buff.write(_get_struct_3if().pack(_x.x, _x.y, _x.radius, _x.color))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(self.battery_voltage))\\n _x = self.flight_mode_ll\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.state_estimation\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.position_control\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_2B2f.pack(_x.serial_interface_enabled, _x.serial_interface_active, _x.flight_time, _x.cpu_load))\\n _x = self.motor_status\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.gps_status\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_iBf.pack(_x.gps_num_satellites, _x.have_SSDK_parameters, _x.timesync_offset))\\n buff.write(_struct_8H.pack(*self.rc_channel))\\n buff.write(_struct_6H.pack(*self.control_axes))\\n length = len(self.control_buttons)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(struct.pack(pattern, *self.control_buttons))\\n _x = self\\n buff.write(_struct_6d.pack(_x.latitude, _x.longitude, _x.altitude, _x.pressure_height, _x.velocity_x, _x.velocity_y))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_14id2i.pack(_x.lnid, _x.did, _x.blid, _x.flid, _x.bnid, _x.fnid, _x.jct, _x.blid2, _x.blid3, _x.blid4, _x.flid2, _x.flid3, _x.flid4, _x.clossid, _x.span, _x.lcnt, _x.lno))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_2I2d4fh2B.pack(_x.date, _x.time, _x.longitude_RTK, _x.latitude_RTK, _x.height_above_sea_RTK, _x.velocity_north, _x.velocity_east, _x.velocity_ground, _x.yaw, _x.position_flag, _x.yaw_flag))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_h16fh8f().pack(_x.id, _x.age, _x.velocidad_relativa_x, _x.velocidad_relativa_y, _x.velocidad_absoluta_x, _x.velocidad_absoluta_y, _x.velocidad_absoluta_sigma_x, _x.velocidad_absoluta_sigma_y, _x.bounding_box_centro_x, _x.bounding_box_centro_y, _x.bounding_box_largo, _x.bounding_box_ancho, _x.object_box_centro_x, _x.object_box_centro_y, _x.object_box_orientacion, _x.object_box_size_x, _x.object_box_size_y, _x.clasificacion, _x.clasificacion_age, _x.clasificacion_certeza, _x.punto_cercano_x, _x.punto_cercano_y, _x.punto_referencia_x, _x.punto_referencia_y, _x.punto_referencia_sigma_x, _x.punto_referencia_sigma_y))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_6d2IB().pack(_x.position.x, _x.position.y, _x.position.z, _x.position.roll, _x.position.pitch, _x.position.yaw, _x.position.stamp.secs, _x.position.stamp.nsecs, _x.is_Known))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def _encode_message(cls, message):\\n if message.magic == 0:\\n msg = b''.join([\\n struct.pack('>BB', message.magic, message.attributes),\\n write_int_string(message.key),\\n write_int_string(message.value)\\n ])\\n crc = crc32(msg)\\n msg = struct.pack('>i%ds' % len(msg), crc, msg)\\n else:\\n raise ProtocolError(\\\"Unexpected magic number: %d\\\" % message.magic)\\n return msg\",\n \"def into_buffer(self, buf, offset):\\n self.payload = containerize(exclude_fields(self))\\n self.parser = MsgEd25519CertificateDep._parser\\n self.stream_payload.reset(buf, offset)\\n return self.pack_into(buf, offset, self._build_payload)\",\n \"def serialize(self, data):\",\n \"def into_buffer(self, buf, offset):\\n self.payload = containerize(exclude_fields(self))\\n self.parser = MsgCertificateChainDep._parser\\n self.stream_payload.reset(buf, offset)\\n return self.pack_into(buf, offset, self._build_payload)\",\n \"def read_buffer(self):\\n message=self._message\\n return message\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n length = len(self.actors)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.actors:\\n _v1 = val1.header\\n _x = _v1.seq\\n buff.write(_get_struct_I().pack(_x))\\n _v2 = _v1.stamp\\n _x = _v2\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = val1.tracking_id\\n buff.write(_get_struct_I().pack(_x))\\n _v3 = val1.pose\\n _v4 = _v3.pose\\n _v5 = _v4.position\\n _x = _v5\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v6 = _v4.orientation\\n _x = _v6\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_36d().pack(*_v3.covariance))\\n if len(val1.points) != 18:\\n self._check_types(ValueError(\\\"Expecting %s items but found %s when writing '%s'\\\" % (18, len(val1.points), 'val1.points')))\\n for val2 in val1.points:\\n _v7 = val2.point\\n _x = _v7\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _x = val2.confidence\\n buff.write(_get_struct_f().pack(_x))\\n _v8 = val1.nose_point\\n _x = _v8\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n buff.write(_get_struct_b().pack(self.error))\\n length = len(self.start_pos)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(struct.pack(pattern, *self.start_pos))\\n length = len(self.target_pos)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(struct.pack(pattern, *self.target_pos))\\n length = len(self.plans)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.plans:\\n _x = val1.joint\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.trajectory)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(struct.pack(pattern, *val1.trajectory))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.polygons)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.polygons:\\n _v1 = val1.stamp\\n _x = _v1\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n buff.write(_struct_I.pack(val1.ID))\\n buff.write(_struct_6f.pack(*val1.parameter))\\n length = len(val1.score)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.score:\\n _x = val2\\n buff.write(_struct_If.pack(_x.ID, _x.prob))\\n length = len(val1.polyline)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.polyline:\\n _x = val2\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.edge_prob))\\n length = len(val1.features)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.features:\\n _x = val2\\n buff.write(_struct_3fI.pack(_x.x, _x.y, _x.z, _x.ID))\\n _x = val1.energy\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(val1.weight))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self.tsp_turtles\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.conveyor_turtle\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.catch_turtle\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n buff.write(_struct_d.pack(self.i))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_I3f2d13fH().pack(_x.sample_count, _x.ekf_roll, _x.ekf_pitch, _x.ekf_yaw, _x.ekf_lat, _x.ekf_lon, _x.ekf_alt, _x.ekf_vN, _x.ekf_vE, _x.ekf_vD, _x.ekf_vX, _x.ekf_vY, _x.ekf_vZ, _x.rad_gyro_X, _x.rad_gyro_Y, _x.rad_gyro_Z, _x.angular_acc_X, _x.angular_acc_Y, _x.angular_acc_Z, _x.alt_DVL))\\n _x = self.dvl_error_code\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\\n else:\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_B9f2i7f().pack(_x.flag_to_check, _x.imu_deg_gyro_X, _x.imu_deg_gyro_Y, _x.imu_deg_gyro_Z, _x.imu_mag_X, _x.imu_mag_Y, _x.imu_mag_Z, _x.imu_acc_X, _x.imu_acc_Y, _x.imu_acc_Z, _x.gps_lat, _x.gps_lon, _x.gps_alt, _x.gps_vN, _x.gps_vE, _x.gps_vD, _x.dvl_vX, _x.dvl_vY, _x.dvl_vZ))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n length = len(self.objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.objects:\\n _v1 = val1.header\\n buff.write(_struct_I.pack(_v1.seq))\\n _v2 = _v1.stamp\\n _x = _v2\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.object_class\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(val1.confidence))\\n _v3 = val1.roi\\n _x = _v3\\n buff.write(_struct_4IB.pack(_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_3B.pack(_x.gear, _x.front_diff, _x.rear_diff))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def send_message(self, proto_buf):\\n # print 'sending....'\\n #s = message.SerializeToString()\\n # packed_len = struct.pack(self.packformat, len(message))\\n message = proto_buf.SerializeToString()\\n packed_len = str(len(message) + 100000000)\\n server_log.debug(\\\"Sending msg of length: {0}\\\".format(packed_len))\\n self.sock.sendall(packed_len + message)\",\n \"def serialize(self, buff):\\n try:\\n buff.write(_struct_B.pack(self.success))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_I().pack(self.vehicle_id.id))\\n _x = self.vehicle_id.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_21f().pack(_x.left_size, _x.right_size, _x.front_size, _x.rear_size, _x.min_height, _x.max_height, _x.payload, _x.max_pos_x_vel, _x.max_neg_x_vel, _x.max_pos_x_acc, _x.max_neg_x_acc, _x.max_pos_y_vel, _x.max_neg_y_vel, _x.max_pos_y_acc, _x.max_neg_y_acc, _x.max_pos_ang_vel, _x.max_neg_ang_vel, _x.velocity_control_sensitivity, _x.min_turning_radius, _x.batt_capacity, _x.batt_max_voltage))\\n _x = self.vehicle_type\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.vendor\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.action_capability)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.action_capability:\\n _x = val1\\n buff.write(_get_struct_2B().pack(_x.category, _x.action))\\n length = len(val1.attributes)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.attributes:\\n _x = val2.type\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def _serialize_buffer(buffer, array_serialization=None):\\n if array_serialization == 'binary':\\n # WARNING: in NumPy 1.9, tostring() has been renamed to tobytes()\\n # but tostring() is still here for now for backward compatibility.\\n return buffer.ravel().tostring()\\n elif array_serialization == 'base64':\\n return {'storage_type': 'base64',\\n 'buffer': base64.b64encode(buffer).decode('ascii')\\n }\\n raise ValueError(\\\"The array serialization method should be 'binary' or \\\"\\n \\\"'base64'.\\\")\",\n \"def _to_cpp(self, msg):\\n buf = BytesIO()\\n msg.serialize(buf)\\n value = buf.getvalue()\\n return value\",\n \"def into_buffer(self, buf, offset):\\n self.payload = containerize(exclude_fields(self))\\n self.parser = MsgEcdsaSignatureDepA._parser\\n self.stream_payload.reset(buf, offset)\\n return self.pack_into(buf, offset, self._build_payload)\",\n \"def _tobuffer(self, object_):\\n\\n raise NotImplementedError\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_q6d().pack(_x.control.mode, _x.control.duty_cycle, _x.control.current, _x.control.brake, _x.control.speed, _x.control.position, _x.control.servo))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_12d().pack(_x.sensor_pose_on_robot.position.x, _x.sensor_pose_on_robot.position.y, _x.sensor_pose_on_robot.position.z, _x.sensor_pose_on_robot.orientation.x, _x.sensor_pose_on_robot.orientation.y, _x.sensor_pose_on_robot.orientation.z, _x.sensor_pose_on_robot.orientation.w, _x.min_sensor_distance, _x.max_sensor_distance, _x.sensor_std_range, _x.sensor_std_yaw, _x.sensor_std_pitch))\\n length = len(self.sensed_data)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.sensed_data:\\n _x = val1\\n buff.write(_get_struct_3di().pack(_x.range, _x.yaw, _x.pitch, _x.id))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_B4bB.pack(_x.sbpl_wait_flag, _x.sbpl_present_x, _x.sbpl_present_y, _x.sbpl_new_x, _x.sbpl_new_y, _x.start_P3DX_motion))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_Q8d().pack(_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w))\\n buff.write(_get_struct_36d().pack(*self.pose.covariance))\\n _x = self\\n buff.write(_get_struct_5d().pack(_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h))\\n _x = self.modality\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.embed_vector)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(struct.pack(pattern, *self.embed_vector))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_2i16dih().pack(_x.Timestamp_sec, _x.Timestamp_nsec, _x.Roll, _x.Pitch, _x.Yaw, _x.Wx, _x.Wy, _x.Wz, _x.AcelX, _x.AcelY, _x.AcelZ, _x.VelN, _x.VelE, _x.VelZ, _x.GPSLong, _x.GPSLat, _x.GPSAlt, _x.Temp, _x.IMUTime, _x.BITStatus))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.Header.seq, _x.Header.stamp.secs, _x.Header.stamp.nsecs))\\n _x = self.Header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_2hHBI().pack(_x.x_pos, _x.y_pos, _x.angle, _x.code_type, _x.code_num))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_12d2f3d().pack(_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_B12d.pack(_x.visible, _x.x, _x.y, _x.z, _x.u, _x.v, _x.w, _x.phi, _x.theta, _x.psi, _x.p, _x.q, _x.r))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self.group\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_2B().pack(_x.rand_start, _x.current_start))\\n length = len(self.start_pos)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(struct.pack(pattern, *self.start_pos))\\n buff.write(_get_struct_B().pack(self.rand_target))\\n length = len(self.target_pos)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(struct.pack(pattern, *self.target_pos))\\n _x = self\\n buff.write(_get_struct_3Bb().pack(_x.execute, _x.wait, _x.ret_plan, _x.ret_fps))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_7q.pack(_x.s_x, _x.s_y, _x.f_x, _x.f_y, _x.step_size, _x.bias_param, _x.max_iteration))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self):\\n self._messageBuf = bytearray()\\n self._writeInt32(self.world.time)\\n self._writeBool(self.world.isDay)\\n self._writeByte(self.world.moonPhase)\\n self._writeBool(self.world.isBloodMoon)\\n self._writeInt32(self.world.width)\\n self._writeInt32(self.world.height)\\n self._writeInt32(self.world.spawn[0])\\n self._writeInt32(self.world.spawn[1])\\n self._writeInt32(self.world.worldSurface)\\n self._writeInt32(self.world.rockLayer)\\n self._writeInt32(self.world.worldId)\\n self._writeByte(self.world.getBossFlag())\\n # write the raw name\\n self._messageBuf.extend(self.world.name)\\n return Message.serialize(self)\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_9f.pack(_x.c0.x, _x.c0.y, _x.c0.z, _x.c1.x, _x.c1.y, _x.c1.z, _x.c2.x, _x.c2.y, _x.c2.z))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def into_buffer(self, buf, offset):\\n self.payload = containerize(exclude_fields(self))\\n self.parser = MsgEcdsaCertificate._parser\\n self.stream_payload.reset(buf, offset)\\n return self.pack_into(buf, offset, self._build_payload)\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_H6B5f2Bf.pack(_x.sensorId, _x.id, _x.length, _x.width, _x.measstat, _x.existprob, _x.dynprop, _x.latdisp, _x.longdisp, _x.relxdot, _x.relxddot, _x.latspeed, _x.obsprob, _x.rollcount, _x.rcs))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n buff.write(_struct_B.pack(self.type))\\n _x = self.model\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.head_version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.body_version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.arm_version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_2B3i.pack(_x.has_laser, _x.has_extended_arms, _x.number_of_legs, _x.number_of_arms, _x.number_of_hands))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def bencode_buffer(data):\\n\\twith BytesIO() as f:\\n\\t\\tbencode(data, f)\\n\\t\\treturn f.getvalue()\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_3B4IH3B.pack(_x.sysid, _x.compid, _x.limits_state, _x.last_trigger, _x.last_action, _x.last_recovery, _x.last_clear, _x.breach_count, _x.mods_enabled, _x.mods_required, _x.mods_triggered))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_14d.pack(_x.u0, _x.h0, _x.vl, _x.i0, _x.wv, _x.wh, _x.wi, _x.h_stop, _x.T_gap, _x.v_max, _x.v_min, _x.h_min, _x.i_max, _x.i_min))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self.time\\n buff.write(_get_struct_d().pack(_x))\\n length = len(self.q_target)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.q_target))\\n length = len(self.qd_target)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.qd_target))\\n length = len(self.qdd_target)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.qdd_target))\\n length = len(self.i_target)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.i_target))\\n length = len(self.m_target)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.m_target))\\n length = len(self.q_actual)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.q_actual))\\n length = len(self.qd_actual)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.qd_actual))\\n length = len(self.i_actual)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.i_actual))\\n length = len(self.tool_acc_values)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.tool_acc_values))\\n length = len(self.tcp_force)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.tcp_force))\\n length = len(self.tool_vector)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.tool_vector))\\n length = len(self.tcp_speed)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.tcp_speed))\\n _x = self.digital_input_bits\\n buff.write(_get_struct_d().pack(_x))\\n length = len(self.motor_temperatures)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.motor_temperatures))\\n _x = self\\n buff.write(_get_struct_3d().pack(_x.controller_timer, _x.test_value, _x.robot_mode))\\n length = len(self.joint_modes)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.joint_modes))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_d2H9d5fdI().pack(_x.Time, _x.Week, _x.Status, _x.RPY.x, _x.RPY.y, _x.RPY.z, _x.LLA.x, _x.LLA.y, _x.LLA.z, _x.NedVel.x, _x.NedVel.y, _x.NedVel.z, _x.YawUncertainty, _x.PitchUncertainty, _x.RollUncertainty, _x.PosUncertainty, _x.VelUncertainty, _x.SyncInTime, _x.SyncInCount))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3B4f2h3B().pack(_x.MatchMode, _x.MatchType, _x.TestMode, _x.pointA.x, _x.pointA.y, _x.pointB.x, _x.pointB.y, _x.angleA, _x.angleB, _x.idA, _x.idB, _x.kickforce))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_56B().pack(_x.command, _x.set_num, _x.paraset_byte54, _x.paraset_byte53, _x.paraset_byte52, _x.paraset_byte51, _x.paraset_byte50, _x.paraset_byte49, _x.paraset_byte48, _x.paraset_byte47, _x.paraset_byte46, _x.paraset_byte45, _x.paraset_byte44, _x.paraset_byte43, _x.paraset_byte42, _x.paraset_byte41, _x.paraset_byte40, _x.paraset_byte39, _x.paraset_byte38, _x.paraset_byte37, _x.paraset_byte36, _x.paraset_byte35, _x.paraset_byte34, _x.paraset_byte33, _x.paraset_byte32, _x.paraset_byte31, _x.paraset_byte30, _x.paraset_byte29, _x.paraset_byte28, _x.paraset_byte27, _x.paraset_byte26, _x.paraset_byte25, _x.paraset_byte24, _x.paraset_byte23, _x.paraset_byte22, _x.paraset_byte21, _x.paraset_byte20, _x.paraset_byte19, _x.paraset_byte18, _x.paraset_byte17, _x.paraset_byte16, _x.paraset_byte15, _x.paraset_byte14, _x.paraset_byte13, _x.paraset_byte12, _x.paraset_byte11, _x.paraset_byte10, _x.paraset_byte9, _x.paraset_byte8, _x.paraset_byte7, _x.paraset_byte6, _x.paraset_byte5, _x.paraset_byte4, _x.paraset_byte3, _x.paraset_byte2, _x.paraset_byte1))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def _recv_serialized(self, socket):\\n msg = pickle.loads(socket.recv())\\n return msg\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_didid.pack(_x.distance_front, _x.angle_front, _x.distance_back, _x.angle_back, _x.turn_left))\\n _x = self.turn_left_sensor\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_d.pack(self.turn_right))\\n _x = self.turn_right_sensor\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def _write_message(self, message):\\n raw_data = message.serialize()\\n debug(\\\"writing outgoing message of type \\\" + message.__class__.__name__)\\n self.request.sendall(raw_data)\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_2B6f2Bb().pack(_x.status, _x.index, _x.range, _x.range_rate, _x.range_accl, _x.azimuth, _x.lateral_rate, _x.width, _x.is_mr_update, _x.is_lr_update, _x.amplitude))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs))\\n _x = self.x.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_7d3I().pack(_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs))\\n _x = self.x_desi.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_7d3I().pack(_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs))\\n _x = self.x_desi_filtered.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_31d().pack(_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z))\\n length = len(self.tau_pose)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.tau_pose))\\n length = len(self.tau_posture)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.tau_posture))\\n length = len(self.tau)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.tau))\\n length = len(self.J.layout.dim)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.J.layout.dim:\\n _x = val1.label\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_get_struct_2I().pack(_x.size, _x.stride))\\n buff.write(_get_struct_I().pack(self.J.layout.data_offset))\\n length = len(self.J.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.J.data))\\n length = len(self.N.layout.dim)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.N.layout.dim:\\n _x = val1.label\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_get_struct_2I().pack(_x.size, _x.stride))\\n buff.write(_get_struct_I().pack(self.N.layout.data_offset))\\n length = len(self.N.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.N.data))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.base.header.seq, _x.base.header.stamp.secs, _x.base.header.stamp.nsecs))\\n _x = self.base.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_5f.pack(_x.base.cell_width, _x.base.cell_height, _x.base.position.x, _x.base.position.y, _x.base.position.z))\\n length = len(self.base.points)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.base.points:\\n _x = val1\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n length = len(self.base.intensity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(struct.pack(pattern, *self.base.intensity))\\n buff.write(_struct_b.pack(self.base.cost))\\n _x = self.base.label\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_2f.pack(_x.mean_height, _x.mean_intensity))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.model.header.seq, _x.model.header.stamp.secs, _x.model.header.stamp.nsecs))\\n _x = self.model.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.model.id))\\n _x = self.model.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.model.params)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model.params:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_struct_dB.pack(_x.value, _x.type))\\n _x = self\\n buff.write(_struct_3I.pack(_x.model.track.header.seq, _x.model.track.header.stamp.secs, _x.model.track.header.stamp.nsecs))\\n _x = self.model.track.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.model.track.id))\\n length = len(self.model.track.pose)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model.track.pose:\\n _v1 = val1.position\\n _x = _v1\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v2 = val1.orientation\\n _x = _v2\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.model.track.pose_headers)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model.track.pose_headers:\\n buff.write(_struct_I.pack(val1.seq))\\n _v3 = val1.stamp\\n _x = _v3\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = val1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.model.track.pose_projected)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model.track.pose_projected:\\n _v4 = val1.position\\n _x = _v4\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v5 = val1.orientation\\n _x = _v5\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.model.track.pose_resampled)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model.track.pose_resampled:\\n _v6 = val1.position\\n _x = _v6\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v7 = val1.orientation\\n _x = _v7\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.model.track.pose_flags)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sI'%length\\n buff.write(struct.pack(pattern, *self.model.track.pose_flags))\\n length = len(self.model.track.channels)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model.track.channels:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.values)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(struct.pack(pattern, *val1.values))\\n _x = self\\n buff.write(_struct_3I.pack(_x.data.header.seq, _x.data.header.stamp.secs, _x.data.header.stamp.nsecs))\\n _x = self.data.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.data.id))\\n _x = self.data.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.data.params)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data.params:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_struct_dB.pack(_x.value, _x.type))\\n _x = self\\n buff.write(_struct_3I.pack(_x.data.track.header.seq, _x.data.track.header.stamp.secs, _x.data.track.header.stamp.nsecs))\\n _x = self.data.track.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.data.track.id))\\n length = len(self.data.track.pose)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data.track.pose:\\n _v8 = val1.position\\n _x = _v8\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v9 = val1.orientation\\n _x = _v9\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.data.track.pose_headers)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data.track.pose_headers:\\n buff.write(_struct_I.pack(val1.seq))\\n _v10 = val1.stamp\\n _x = _v10\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = val1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.data.track.pose_projected)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data.track.pose_projected:\\n _v11 = val1.position\\n _x = _v11\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v12 = val1.orientation\\n _x = _v12\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.data.track.pose_resampled)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data.track.pose_resampled:\\n _v13 = val1.position\\n _x = _v13\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v14 = val1.orientation\\n _x = _v14\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.data.track.pose_flags)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sI'%length\\n buff.write(struct.pack(pattern, *self.data.track.pose_flags))\\n length = len(self.data.track.channels)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data.track.channels:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.values)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(struct.pack(pattern, *val1.values))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize(self, buff):\\n try:\\n length = len(self.pending)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.pending:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.gateway_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v1 = val1.platform_info\\n _x = _v1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v1.rocon_uri\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v1.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v2 = _v1.icon\\n _x = _v2.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v2.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v2.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v1.version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_B().pack(val1.is_local_client))\\n _x = val1.state\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.ip\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v3 = val1.conn_stats\\n _x = _v3\\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\\n length = len(val1.rapps)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.rapps:\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.display_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.compatibility\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.status\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.implementations)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.implementations:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n _x = val2.preferred\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v4 = val2.icon\\n _x = _v4.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v4.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v4.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_interface)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_interface:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_parameters)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_parameters:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.available)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.available:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.gateway_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v5 = val1.platform_info\\n _x = _v5.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v5.rocon_uri\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v5.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v6 = _v5.icon\\n _x = _v6.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v6.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v6.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v5.version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_B().pack(val1.is_local_client))\\n _x = val1.state\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.ip\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v7 = val1.conn_stats\\n _x = _v7\\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\\n length = len(val1.rapps)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.rapps:\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.display_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.compatibility\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.status\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.implementations)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.implementations:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n _x = val2.preferred\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v8 = val2.icon\\n _x = _v8.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v8.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v8.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_interface)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_interface:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_parameters)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_parameters:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.missing)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.missing:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.gateway_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v9 = val1.platform_info\\n _x = _v9.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v9.rocon_uri\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v9.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v10 = _v9.icon\\n _x = _v10.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v10.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v10.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v9.version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_B().pack(val1.is_local_client))\\n _x = val1.state\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.ip\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v11 = val1.conn_stats\\n _x = _v11\\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\\n length = len(val1.rapps)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.rapps:\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.display_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.compatibility\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.status\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.implementations)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.implementations:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n _x = val2.preferred\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v12 = val2.icon\\n _x = _v12.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v12.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v12.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_interface)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_interface:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_parameters)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_parameters:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.gone)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.gone:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.gateway_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v13 = val1.platform_info\\n _x = _v13.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v13.rocon_uri\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v13.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v14 = _v13.icon\\n _x = _v14.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v14.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v14.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v13.version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_B().pack(val1.is_local_client))\\n _x = val1.state\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.ip\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v15 = val1.conn_stats\\n _x = _v15\\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\\n length = len(val1.rapps)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.rapps:\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.display_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.compatibility\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.status\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.implementations)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.implementations:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n _x = val2.preferred\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v16 = val2.icon\\n _x = _v16.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v16.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v16.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_interface)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_interface:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_parameters)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_parameters:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self) -> bytes:\\n pass\",\n \"def serialize(self) -> bytes:\\n pass\",\n \"def serialize(msg) -> str:\\n try:\\n return json.dumps(msg, separators=(',', ':'))\\n except json.JSONDecodeError as err:\\n return err.msg\",\n \"def serialize(self, buff):\\n try:\\n buff.write(_get_struct_645f().pack(*self.Rscanpose))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n length = len(self.cnt)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.cnt:\\n _v1 = val1.header\\n buff.write(_get_struct_I().pack(_v1.seq))\\n _v2 = _v1.stamp\\n _x = _v2\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_i().pack(val1.devadd))\\n _v3 = val1.now\\n _x = _v3\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n buff.write(_get_struct_I().pack(val1.encounter))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def to_bytes(self):\\n\\t\\treturn self.buffer.tobytes();\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_H2BiIbB4H2B3I().pack(_x.mask, _x.dynModel, _x.fixMode, _x.fixedAlt, _x.fixedAltVar, _x.minElev, _x.drLimit, _x.pDop, _x.tDop, _x.pAcc, _x.tAcc, _x.staticHoldThresh, _x.dgpsTimeOut, _x.reserved2, _x.reserved3, _x.reserved4))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.planning_scene.robot_state.joint_state.header.seq, _x.planning_scene.robot_state.joint_state.header.stamp.secs, _x.planning_scene.robot_state.joint_state.header.stamp.nsecs))\\n _x = self.planning_scene.robot_state.joint_state.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.planning_scene.robot_state.joint_state.name)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.robot_state.joint_state.name:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene.robot_state.joint_state.position)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.planning_scene.robot_state.joint_state.position))\\n length = len(self.planning_scene.robot_state.joint_state.velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.planning_scene.robot_state.joint_state.velocity))\\n length = len(self.planning_scene.robot_state.joint_state.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.planning_scene.robot_state.joint_state.effort))\\n _x = self\\n buff.write(_struct_2I.pack(_x.planning_scene.robot_state.multi_dof_joint_state.stamp.secs, _x.planning_scene.robot_state.multi_dof_joint_state.stamp.nsecs))\\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.joint_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.frame_ids)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.frame_ids:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.child_frame_ids)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.child_frame_ids:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.poses)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.poses:\\n _v113 = val1.position\\n _x = _v113\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v114 = val1.orientation\\n _x = _v114\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.planning_scene.fixed_frame_transforms)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.fixed_frame_transforms:\\n _v115 = val1.header\\n buff.write(_struct_I.pack(_v115.seq))\\n _v116 = _v115.stamp\\n _x = _v116\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v115.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.child_frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v117 = val1.transform\\n _v118 = _v117.translation\\n _x = _v118\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v119 = _v117.rotation\\n _x = _v119\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.planning_scene.allowed_collision_matrix.link_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.allowed_collision_matrix.link_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene.allowed_collision_matrix.entries)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.allowed_collision_matrix.entries:\\n length = len(val1.enabled)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sB'%length\\n buff.write(struct.pack(pattern, *val1.enabled))\\n length = len(self.planning_scene.allowed_contacts)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.allowed_contacts:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v120 = val1.shape\\n buff.write(_struct_b.pack(_v120.type))\\n length = len(_v120.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *_v120.dimensions))\\n length = len(_v120.triangles)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(struct.pack(pattern, *_v120.triangles))\\n length = len(_v120.vertices)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v120.vertices:\\n _x = val3\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v121 = val1.pose_stamped\\n _v122 = _v121.header\\n buff.write(_struct_I.pack(_v122.seq))\\n _v123 = _v122.stamp\\n _x = _v123\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v122.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v124 = _v121.pose\\n _v125 = _v124.position\\n _x = _v125\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v126 = _v124.orientation\\n _x = _v126\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.link_names)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.link_names:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n buff.write(_struct_d.pack(val1.penetration_depth))\\n length = len(self.planning_scene.link_padding)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.link_padding:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_d.pack(val1.padding))\\n length = len(self.planning_scene.collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.collision_objects:\\n _v127 = val1.header\\n buff.write(_struct_I.pack(_v127.seq))\\n _v128 = _v127.stamp\\n _x = _v128\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v127.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(val1.padding))\\n _v129 = val1.operation\\n buff.write(_struct_b.pack(_v129.operation))\\n length = len(val1.shapes)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.shapes:\\n buff.write(_struct_b.pack(val2.type))\\n length = len(val2.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *val2.dimensions))\\n length = len(val2.triangles)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(struct.pack(pattern, *val2.triangles))\\n length = len(val2.vertices)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.vertices:\\n _x = val3\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n length = len(val1.poses)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.poses:\\n _v130 = val2.position\\n _x = _v130\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v131 = val2.orientation\\n _x = _v131\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.planning_scene.attached_collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.attached_collision_objects:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v132 = val1.object\\n _v133 = _v132.header\\n buff.write(_struct_I.pack(_v133.seq))\\n _v134 = _v133.stamp\\n _x = _v134\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v133.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v132.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(_v132.padding))\\n _v135 = _v132.operation\\n buff.write(_struct_b.pack(_v135.operation))\\n length = len(_v132.shapes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v132.shapes:\\n buff.write(_struct_b.pack(val3.type))\\n length = len(val3.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *val3.dimensions))\\n length = len(val3.triangles)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(struct.pack(pattern, *val3.triangles))\\n length = len(val3.vertices)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.vertices:\\n _x = val4\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n length = len(_v132.poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v132.poses:\\n _v136 = val3.position\\n _x = _v136\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v137 = val3.orientation\\n _x = _v137\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.touch_links)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.touch_links:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n _x = self\\n buff.write(_struct_3I.pack(_x.planning_scene.collision_map.header.seq, _x.planning_scene.collision_map.header.stamp.secs, _x.planning_scene.collision_map.header.stamp.nsecs))\\n _x = self.planning_scene.collision_map.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.planning_scene.collision_map.boxes)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.collision_map.boxes:\\n _v138 = val1.center\\n _x = _v138\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n _v139 = val1.extents\\n _x = _v139\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n _v140 = val1.axis\\n _x = _v140\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n buff.write(_struct_f.pack(val1.angle))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_b7d().pack(_x.decision, _x.distance, _x.oriX, _x.oriY, _x.oriZ, _x.placX, _x.placY, _x.placZ))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_BQ().pack(_x.Front_sens.ID, _x.Front_sens.timestamp))\\n buff.write(_get_struct_3d().pack(*self.Front_sens.compass))\\n buff.write(_get_struct_3d().pack(*self.Front_sens.gyro))\\n buff.write(_get_struct_3d().pack(*self.Front_sens.accel))\\n buff.write(_get_struct_3d().pack(*self.Front_sens.fusionPose))\\n buff.write(_get_struct_4d().pack(*self.Front_sens.fusionQPose))\\n _x = self\\n buff.write(_get_struct_BQ().pack(_x.Rear_sens.ID, _x.Rear_sens.timestamp))\\n buff.write(_get_struct_3d().pack(*self.Rear_sens.compass))\\n buff.write(_get_struct_3d().pack(*self.Rear_sens.gyro))\\n buff.write(_get_struct_3d().pack(*self.Rear_sens.accel))\\n buff.write(_get_struct_3d().pack(*self.Rear_sens.fusionPose))\\n buff.write(_get_struct_4d().pack(*self.Rear_sens.fusionQPose))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.planning_scene_diff.robot_state.joint_state.header.seq, _x.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs))\\n _x = self.planning_scene_diff.robot_state.joint_state.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.planning_scene_diff.robot_state.joint_state.name)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.robot_state.joint_state.name:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene_diff.robot_state.joint_state.position)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.planning_scene_diff.robot_state.joint_state.position))\\n length = len(self.planning_scene_diff.robot_state.joint_state.velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.planning_scene_diff.robot_state.joint_state.velocity))\\n length = len(self.planning_scene_diff.robot_state.joint_state.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.planning_scene_diff.robot_state.joint_state.effort))\\n _x = self\\n buff.write(_struct_2I.pack(_x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.secs, _x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.nsecs))\\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.poses)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.poses:\\n _v1 = val1.position\\n _x = _v1\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v2 = val1.orientation\\n _x = _v2\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.planning_scene_diff.fixed_frame_transforms)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.fixed_frame_transforms:\\n _v3 = val1.header\\n buff.write(_struct_I.pack(_v3.seq))\\n _v4 = _v3.stamp\\n _x = _v4\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v3.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.child_frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v5 = val1.transform\\n _v6 = _v5.translation\\n _x = _v6\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v7 = _v5.rotation\\n _x = _v7\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.planning_scene_diff.allowed_collision_matrix.link_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.allowed_collision_matrix.link_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene_diff.allowed_collision_matrix.entries)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.allowed_collision_matrix.entries:\\n length = len(val1.enabled)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sB'%length\\n buff.write(struct.pack(pattern, *val1.enabled))\\n length = len(self.planning_scene_diff.allowed_contacts)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.allowed_contacts:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v8 = val1.shape\\n buff.write(_struct_b.pack(_v8.type))\\n length = len(_v8.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *_v8.dimensions))\\n length = len(_v8.triangles)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(struct.pack(pattern, *_v8.triangles))\\n length = len(_v8.vertices)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v8.vertices:\\n _x = val3\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v9 = val1.pose_stamped\\n _v10 = _v9.header\\n buff.write(_struct_I.pack(_v10.seq))\\n _v11 = _v10.stamp\\n _x = _v11\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v10.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v12 = _v9.pose\\n _v13 = _v12.position\\n _x = _v13\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v14 = _v12.orientation\\n _x = _v14\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.link_names)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.link_names:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n buff.write(_struct_d.pack(val1.penetration_depth))\\n length = len(self.planning_scene_diff.link_padding)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.link_padding:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_d.pack(val1.padding))\\n length = len(self.planning_scene_diff.collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.collision_objects:\\n _v15 = val1.header\\n buff.write(_struct_I.pack(_v15.seq))\\n _v16 = _v15.stamp\\n _x = _v16\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v15.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(val1.padding))\\n _v17 = val1.operation\\n buff.write(_struct_b.pack(_v17.operation))\\n length = len(val1.shapes)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.shapes:\\n buff.write(_struct_b.pack(val2.type))\\n length = len(val2.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *val2.dimensions))\\n length = len(val2.triangles)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(struct.pack(pattern, *val2.triangles))\\n length = len(val2.vertices)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.vertices:\\n _x = val3\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n length = len(val1.poses)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.poses:\\n _v18 = val2.position\\n _x = _v18\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v19 = val2.orientation\\n _x = _v19\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.planning_scene_diff.attached_collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.attached_collision_objects:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v20 = val1.object\\n _v21 = _v20.header\\n buff.write(_struct_I.pack(_v21.seq))\\n _v22 = _v21.stamp\\n _x = _v22\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v21.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v20.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(_v20.padding))\\n _v23 = _v20.operation\\n buff.write(_struct_b.pack(_v23.operation))\\n length = len(_v20.shapes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v20.shapes:\\n buff.write(_struct_b.pack(val3.type))\\n length = len(val3.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *val3.dimensions))\\n length = len(val3.triangles)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(struct.pack(pattern, *val3.triangles))\\n length = len(val3.vertices)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.vertices:\\n _x = val4\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n length = len(_v20.poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v20.poses:\\n _v24 = val3.position\\n _x = _v24\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v25 = val3.orientation\\n _x = _v25\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.touch_links)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.touch_links:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n _x = self\\n buff.write(_struct_3I.pack(_x.planning_scene_diff.collision_map.header.seq, _x.planning_scene_diff.collision_map.header.stamp.secs, _x.planning_scene_diff.collision_map.header.stamp.nsecs))\\n _x = self.planning_scene_diff.collision_map.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.planning_scene_diff.collision_map.boxes)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.collision_map.boxes:\\n _v26 = val1.center\\n _x = _v26\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n _v27 = val1.extents\\n _x = _v27\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n _v28 = val1.axis\\n _x = _v28\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n buff.write(_struct_f.pack(val1.angle))\\n length = len(self.operations.collision_operations)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.operations.collision_operations:\\n _x = val1.object1\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.object2\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_struct_di.pack(_x.penetration_distance, _x.operation))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs))\\n _x = self.model_aligned.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.model_aligned.id))\\n _x = self.model_aligned.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.model_aligned.params)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model_aligned.params:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_struct_dB.pack(_x.value, _x.type))\\n _x = self\\n buff.write(_struct_3I.pack(_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs))\\n _x = self.model_aligned.track.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.model_aligned.track.id))\\n length = len(self.model_aligned.track.pose)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model_aligned.track.pose:\\n _v57 = val1.position\\n _x = _v57\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v58 = val1.orientation\\n _x = _v58\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.model_aligned.track.pose_headers)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model_aligned.track.pose_headers:\\n buff.write(_struct_I.pack(val1.seq))\\n _v59 = val1.stamp\\n _x = _v59\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = val1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.model_aligned.track.pose_projected)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model_aligned.track.pose_projected:\\n _v60 = val1.position\\n _x = _v60\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v61 = val1.orientation\\n _x = _v61\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.model_aligned.track.pose_resampled)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model_aligned.track.pose_resampled:\\n _v62 = val1.position\\n _x = _v62\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v63 = val1.orientation\\n _x = _v63\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.model_aligned.track.pose_flags)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sI'%length\\n buff.write(struct.pack(pattern, *self.model_aligned.track.pose_flags))\\n length = len(self.model_aligned.track.channels)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model_aligned.track.channels:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.values)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(struct.pack(pattern, *val1.values))\\n _x = self\\n buff.write(_struct_3I.pack(_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs))\\n _x = self.data_aligned.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.data_aligned.id))\\n _x = self.data_aligned.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.data_aligned.params)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_aligned.params:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_struct_dB.pack(_x.value, _x.type))\\n _x = self\\n buff.write(_struct_3I.pack(_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs))\\n _x = self.data_aligned.track.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.data_aligned.track.id))\\n length = len(self.data_aligned.track.pose)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_aligned.track.pose:\\n _v64 = val1.position\\n _x = _v64\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v65 = val1.orientation\\n _x = _v65\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.data_aligned.track.pose_headers)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_aligned.track.pose_headers:\\n buff.write(_struct_I.pack(val1.seq))\\n _v66 = val1.stamp\\n _x = _v66\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = val1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.data_aligned.track.pose_projected)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_aligned.track.pose_projected:\\n _v67 = val1.position\\n _x = _v67\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v68 = val1.orientation\\n _x = _v68\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.data_aligned.track.pose_resampled)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_aligned.track.pose_resampled:\\n _v69 = val1.position\\n _x = _v69\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v70 = val1.orientation\\n _x = _v70\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.data_aligned.track.pose_flags)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sI'%length\\n buff.write(struct.pack(pattern, *self.data_aligned.track.pose_flags))\\n length = len(self.data_aligned.track.channels)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_aligned.track.channels:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.values)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(struct.pack(pattern, *val1.values))\\n buff.write(_struct_9d.pack(*self.R))\\n buff.write(_struct_3d.pack(*self.T))\\n _x = self\\n buff.write(_struct_df.pack(_x.dist_rot, _x.dist_trans))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_9B.pack(_x.dvl_sts, _x.svs_sts, _x.fog_sts, _x.nav_sts, _x.bat_sts, _x.t_sts, _x.h_sts, _x.p_sts, _x.water_sts))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.obstacleinfo.header.seq, _x.obstacleinfo.header.stamp.secs, _x.obstacleinfo.header.stamp.nsecs))\\n _x = self.obstacleinfo.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.obstacleinfo.pos)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.obstacleinfo.pos:\\n _x = val1\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n length = len(self.obstacleinfo.polar_pos)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.obstacleinfo.polar_pos:\\n _x = val1\\n buff.write(_get_struct_2f().pack(_x.angle, _x.radius))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.oppinfo.header.seq, _x.oppinfo.header.stamp.secs, _x.oppinfo.header.stamp.nsecs))\\n _x = self.oppinfo.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.oppinfo.pos)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.oppinfo.pos:\\n _x = val1\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n length = len(self.oppinfo.polar_pos)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.oppinfo.polar_pos:\\n _x = val1\\n buff.write(_get_struct_2f().pack(_x.angle, _x.radius))\\n length = len(self.robotinfo)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.robotinfo:\\n _v1 = val1.header\\n buff.write(_get_struct_I().pack(_v1.seq))\\n _v2 = _v1.stamp\\n _x = _v2\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_get_struct_7i().pack(_x.AgentID, _x.targetNum1, _x.targetNum2, _x.targetNum3, _x.targetNum4, _x.staticpassNum, _x.staticcatchNum))\\n _v3 = val1.pos\\n _x = _v3\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n _v4 = val1.heading\\n buff.write(_get_struct_f().pack(_v4.theta))\\n buff.write(_get_struct_f().pack(val1.vrot))\\n _v5 = val1.vtrans\\n _x = _v5\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n _x = val1\\n buff.write(_get_struct_5Bf().pack(_x.iskick, _x.isvalid, _x.isstuck, _x.isdribble, _x.current_role, _x.role_time))\\n _v6 = val1.target\\n _x = _v6\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n length = len(self.ballinfo)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.ballinfo:\\n _v7 = val1.header\\n buff.write(_get_struct_I().pack(_v7.seq))\\n _v8 = _v7.stamp\\n _x = _v8\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v7.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_i().pack(val1.ballinfostate))\\n _v9 = val1.pos\\n _x = _v9\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n _v10 = val1.real_pos\\n _x = _v10\\n buff.write(_get_struct_2f().pack(_x.angle, _x.radius))\\n _v11 = val1.velocity\\n _x = _v11\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n _x = val1\\n buff.write(_get_struct_2B().pack(_x.pos_known, _x.velocity_known))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.coachinfo.header.seq, _x.coachinfo.header.stamp.secs, _x.coachinfo.header.stamp.nsecs))\\n _x = self.coachinfo.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3B4f2h3B2I4f4B().pack(_x.coachinfo.MatchMode, _x.coachinfo.MatchType, _x.coachinfo.TestMode, _x.coachinfo.pointA.x, _x.coachinfo.pointA.y, _x.coachinfo.pointB.x, _x.coachinfo.pointB.y, _x.coachinfo.angleA, _x.coachinfo.angleB, _x.coachinfo.idA, _x.coachinfo.idB, _x.coachinfo.kickforce, _x.pass_cmd.pass_id, _x.pass_cmd.catch_id, _x.pass_cmd.pass_pt.x, _x.pass_cmd.pass_pt.y, _x.pass_cmd.catch_pt.x, _x.pass_cmd.catch_pt.y, _x.pass_cmd.is_passout, _x.pass_cmd.is_dynamic_pass, _x.pass_cmd.is_static_pass, _x.pass_cmd.is_valid))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self.sim_step\\n buff.write(_get_struct_I().pack(_x))\\n _x = self.type.data\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self.parent_name.data\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self.name.data\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_2f7dI().pack(_x.wall_time, _x.sim_time, _x.pose.position.x, _x.pose.position.y, _x.pose.position.z, _x.pose.orientation.x, _x.pose.orientation.y, _x.pose.orientation.z, _x.pose.orientation.w, _x.count))\\n length = len(self.triggered)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sB'%length\\n buff.write(struct.Struct(pattern).pack(*self.triggered))\\n length = len(self.range)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(struct.Struct(pattern).pack(*self.range))\\n length = len(self.measurement)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(struct.Struct(pattern).pack(*self.measurement))\\n length = len(self.sensed_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.sensed_objects:\\n _x = val1.data\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self.sensed_objects_map\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\\n else:\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_QBdB2I().pack(_x.step_num, _x.info_type, _x.predict.step_dt, _x.predict.trans_jacobian.column_major, _x.predict.trans_jacobian.rows, _x.predict.trans_jacobian.cols))\\n length = len(self.predict.trans_jacobian.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.predict.trans_jacobian.data))\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.predict.trans_noise_cov.column_major, _x.predict.trans_noise_cov.rows, _x.predict.trans_noise_cov.cols))\\n length = len(self.predict.trans_noise_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.predict.trans_noise_cov.data))\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.predict.prior_state_cov.column_major, _x.predict.prior_state_cov.rows, _x.predict.prior_state_cov.cols))\\n length = len(self.predict.prior_state_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.predict.prior_state_cov.data))\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.predict.post_state_cov.column_major, _x.predict.post_state_cov.rows, _x.predict.post_state_cov.cols))\\n length = len(self.predict.post_state_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.predict.post_state_cov.data))\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.update.prior_state_cov.column_major, _x.update.prior_state_cov.rows, _x.update.prior_state_cov.cols))\\n length = len(self.update.prior_state_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.update.prior_state_cov.data))\\n length = len(self.update.prior_obs_error)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.update.prior_obs_error))\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.update.obs_error_cov.column_major, _x.update.obs_error_cov.rows, _x.update.obs_error_cov.cols))\\n length = len(self.update.obs_error_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.update.obs_error_cov.data))\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.update.post_state_cov.column_major, _x.update.post_state_cov.rows, _x.update.post_state_cov.cols))\\n length = len(self.update.post_state_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.update.post_state_cov.data))\\n length = len(self.update.state_delta)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.update.state_delta))\\n length = len(self.update.post_obs_error)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.update.post_obs_error))\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.update.obs_jacobian.column_major, _x.update.obs_jacobian.rows, _x.update.obs_jacobian.cols))\\n length = len(self.update.obs_jacobian.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.update.obs_jacobian.data))\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.update.obs_noise_cov.column_major, _x.update.obs_noise_cov.rows, _x.update.obs_noise_cov.cols))\\n length = len(self.update.obs_noise_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(struct.pack(pattern, *self.update.obs_noise_cov.data))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.namespace\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.prefixes)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.prefixes:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.prefix\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.imports)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.imports:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *val1))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n _x = self.address.room_nr\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.address.floor_nr\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.address.street_nr\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.address.street_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.address.city_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.objects:\\n _v1 = val1.header\\n buff.write(_struct_I.pack(_v1.seq))\\n _v2 = _v1.stamp\\n _x = _v2\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.type\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v3 = val1.size\\n _x = _v3\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n _v4 = val1.pose\\n _v5 = _v4.position\\n _x = _v5\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v6 = _v4.orientation\\n _x = _v6\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val1.part_of\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.actions)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.actions:\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.type\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_B.pack(val1.asserted))\\n _x = val1.object_acted_on\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.subactions)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.subactions:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *val2))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n _x = val1\\n buff.write(_struct_bB.pack(_x.quantification, _x.unordered))\\n length = len(self.object_properties)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.object_properties:\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.subject\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.object\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.data_properties)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_properties:\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.subject\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_B.pack(val1.value_type))\\n _x = val1.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize(self, buff):\\n try:\\n _x = self\\n buff.write(_get_struct_6d2I2iB().pack(_x.x, _x.y, _x.z, _x.yaw, _x.v_des, _x.a_des, _x.t_start.secs, _x.t_start.nsecs, _x.duration.secs, _x.duration.nsecs, _x.relative))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def to_buffer(self) -> bytearray:\\n packet = bytearray()\\n packet.extend(\\n struct.pack(\\n \\\"!ccccHH\\\",\\n \\\"D\\\".encode(\\\"ascii\\\"),\\n \\\"L\\\".encode(\\\"ascii\\\"),\\n \\\"E\\\".encode(\\\"ascii\\\"),\\n \\\"P\\\".encode(\\\"ascii\\\"),\\n int(self.type),\\n self.len,\\n )\\n )\\n return packet\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6972838","0.6802016","0.6796291","0.67317253","0.66948694","0.6658851","0.6626311","0.66227144","0.6618303","0.6607444","0.65361035","0.6529462","0.65220654","0.64863104","0.6467052","0.64530367","0.6438432","0.6427743","0.6426063","0.63947827","0.637155","0.6370058","0.63681626","0.6365958","0.63556087","0.635341","0.6336435","0.6329306","0.6322275","0.63218606","0.63185257","0.6306401","0.62988025","0.6281811","0.6272117","0.62678283","0.6263905","0.626265","0.6260801","0.6259295","0.62568295","0.62566996","0.62555534","0.6250422","0.6249969","0.6216801","0.62154055","0.6210305","0.62070805","0.62065965","0.6200813","0.6192115","0.6191173","0.6176995","0.6174274","0.61577916","0.6152228","0.61469287","0.6144135","0.61402714","0.6133335","0.61313534","0.6130928","0.6127834","0.61178756","0.6117536","0.6114875","0.61143404","0.61098206","0.6100491","0.6100394","0.6096276","0.6087428","0.6085069","0.60646605","0.6061217","0.6061037","0.60604405","0.6055247","0.6047422","0.6044676","0.604425","0.604425","0.60435164","0.60401994","0.6039911","0.6038519","0.6036742","0.6035997","0.6029169","0.60147244","0.60146034","0.6014108","0.60076547","0.60048294","0.59783775","0.5971153","0.59585917","0.59584385","0.5954125"],"string":"[\n \"0.6972838\",\n \"0.6802016\",\n \"0.6796291\",\n \"0.67317253\",\n \"0.66948694\",\n \"0.6658851\",\n \"0.6626311\",\n \"0.66227144\",\n \"0.6618303\",\n \"0.6607444\",\n \"0.65361035\",\n \"0.6529462\",\n \"0.65220654\",\n \"0.64863104\",\n \"0.6467052\",\n \"0.64530367\",\n \"0.6438432\",\n \"0.6427743\",\n \"0.6426063\",\n \"0.63947827\",\n \"0.637155\",\n \"0.6370058\",\n \"0.63681626\",\n \"0.6365958\",\n \"0.63556087\",\n \"0.635341\",\n \"0.6336435\",\n \"0.6329306\",\n \"0.6322275\",\n \"0.63218606\",\n \"0.63185257\",\n \"0.6306401\",\n \"0.62988025\",\n \"0.6281811\",\n \"0.6272117\",\n \"0.62678283\",\n \"0.6263905\",\n \"0.626265\",\n \"0.6260801\",\n \"0.6259295\",\n \"0.62568295\",\n \"0.62566996\",\n \"0.62555534\",\n \"0.6250422\",\n \"0.6249969\",\n \"0.6216801\",\n \"0.62154055\",\n \"0.6210305\",\n \"0.62070805\",\n \"0.62065965\",\n \"0.6200813\",\n \"0.6192115\",\n \"0.6191173\",\n \"0.6176995\",\n \"0.6174274\",\n \"0.61577916\",\n \"0.6152228\",\n \"0.61469287\",\n \"0.6144135\",\n \"0.61402714\",\n \"0.6133335\",\n \"0.61313534\",\n \"0.6130928\",\n \"0.6127834\",\n \"0.61178756\",\n \"0.6117536\",\n \"0.6114875\",\n \"0.61143404\",\n \"0.61098206\",\n \"0.6100491\",\n \"0.6100394\",\n \"0.6096276\",\n \"0.6087428\",\n \"0.6085069\",\n \"0.60646605\",\n \"0.6061217\",\n \"0.6061037\",\n \"0.60604405\",\n \"0.6055247\",\n \"0.6047422\",\n \"0.6044676\",\n \"0.604425\",\n \"0.604425\",\n \"0.60435164\",\n \"0.60401994\",\n \"0.6039911\",\n \"0.6038519\",\n \"0.6036742\",\n \"0.6035997\",\n \"0.6029169\",\n \"0.60147244\",\n \"0.60146034\",\n \"0.6014108\",\n \"0.60076547\",\n \"0.60048294\",\n \"0.59783775\",\n \"0.5971153\",\n \"0.59585917\",\n \"0.59584385\",\n \"0.5954125\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.66847515"},"document_rank":{"kind":"string","value":"5"}}},{"rowIdx":88289,"cells":{"query":{"kind":"string","value":"unpack serialized message in str into this message instance"},"document":{"kind":"string","value":"def deserialize(self, str):\n try:\n end = 0\n start = end\n end += 1\n (self.result,) = _struct_B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 152\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _struct_2d2q14dq.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.msg = str[start:end].decode('utf-8')\n else:\n self.msg = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.cmd = str[start:end].decode('utf-8')\n else:\n self.cmd = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.cat = str[start:end].decode('utf-8')\n else:\n self.cat = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n end = 0\n _x = self\n start = end\n end += 72\n (_x.originId, _x.originType, _x.destinationId, _x.destinationType, _x.range, _x.ts, _x.seq, _x.rxPower, _x.channel, _x.datarate, _x.prf, _x.preambleLength, _x.txGain, _x.angle,) = _get_struct_ihih3i3d2i2d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg._Header.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 3\n (_x.gear, _x.front_diff, _x.rear_diff,) = _struct_3B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n start = end\n end += 8\n (self.i,) = _struct_d.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n if python3:\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.control is None:\n self.control = vesc_msgs.msg.VescCtrl()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 56\n (_x.control.mode, _x.control.duty_cycle, _x.control.current, _x.control.brake, _x.control.speed, _x.control.position, _x.control.servo,) = _get_struct_q6d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize(self, str):\n if python3:\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.Header is None:\n self.Header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.Header.seq, _x.Header.stamp.secs, _x.Header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.Header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.Header.frame_id = str[start:end]\n _x = self\n start = end\n end += 11\n (_x.x_pos, _x.y_pos, _x.angle, _x.code_type, _x.code_num,) = _get_struct_2hHBI().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.prefixes is None:\n self.prefixes = None\n if self.address is None:\n self.address = knowrob_semantic_map_msgs.msg.SemMapAddress()\n if self.objects is None:\n self.objects = None\n if self.actions is None:\n self.actions = None\n if self.object_properties is None:\n self.object_properties = None\n if self.data_properties is None:\n self.data_properties = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.namespace = str[start:end].decode('utf-8')\n else:\n self.namespace = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.id = str[start:end].decode('utf-8')\n else:\n self.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.prefixes = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapPrefix()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.prefix = str[start:end].decode('utf-8')\n else:\n val1.prefix = str[start:end]\n self.prefixes.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.imports = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.imports.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.room_nr = str[start:end].decode('utf-8')\n else:\n self.address.room_nr = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.floor_nr = str[start:end].decode('utf-8')\n else:\n self.address.floor_nr = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.street_nr = str[start:end].decode('utf-8')\n else:\n self.address.street_nr = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.street_name = str[start:end].decode('utf-8')\n else:\n self.address.street_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.city_name = str[start:end].decode('utf-8')\n else:\n self.address.city_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.objects = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapObject()\n _v7 = val1.header\n start = end\n end += 4\n (_v7.seq,) = _struct_I.unpack(str[start:end])\n _v8 = _v7.stamp\n _x = _v8\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v7.frame_id = str[start:end].decode('utf-8')\n else:\n _v7.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.type = str[start:end].decode('utf-8')\n else:\n val1.type = str[start:end]\n _v9 = val1.size\n _x = _v9\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\n _v10 = val1.pose\n _v11 = _v10.position\n _x = _v11\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v12 = _v10.orientation\n _x = _v12\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.part_of = str[start:end].decode('utf-8')\n else:\n val1.part_of = str[start:end]\n self.objects.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.actions = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapAction()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.type = str[start:end].decode('utf-8')\n else:\n val1.type = str[start:end]\n start = end\n end += 1\n (val1.asserted,) = _struct_B.unpack(str[start:end])\n val1.asserted = bool(val1.asserted)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.object_acted_on = str[start:end].decode('utf-8')\n else:\n val1.object_acted_on = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.subactions = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.subactions.append(val2)\n _x = val1\n start = end\n end += 2\n (_x.quantification, _x.unordered,) = _struct_bB.unpack(str[start:end])\n val1.unordered = bool(val1.unordered)\n self.actions.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.object_properties = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapObjectProperty()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.subject = str[start:end].decode('utf-8')\n else:\n val1.subject = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.object = str[start:end].decode('utf-8')\n else:\n val1.object = str[start:end]\n self.object_properties.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_properties = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapDataProperty()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.subject = str[start:end].decode('utf-8')\n else:\n val1.subject = str[start:end]\n start = end\n end += 1\n (val1.value_type,) = _struct_B.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.value = str[start:end].decode('utf-8')\n else:\n val1.value = str[start:end]\n self.data_properties.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def _from_cpp(self, str_msg, cls):\n msg = cls()\n result = msg.deserialize(str_msg)\n return result","def deserialize(self, str):\n try:\n if self.icon is None:\n self.icon = rocon_std_msgs.msg.Icon()\n if self.remappings is None:\n self.remappings = None\n if self.pairing is None:\n self.pairing = rocon_interaction_msgs.msg.Pairing()\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.name = str[start:end].decode('utf-8')\n else:\n self.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.compatibility = str[start:end].decode('utf-8')\n else:\n self.compatibility = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.display_name = str[start:end].decode('utf-8')\n else:\n self.display_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.description = str[start:end].decode('utf-8')\n else:\n self.description = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.namespace = str[start:end].decode('utf-8')\n else:\n self.namespace = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.icon.resource_name = str[start:end].decode('utf-8')\n else:\n self.icon.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.icon.format = str[start:end].decode('utf-8')\n else:\n self.icon.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.icon.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.remappings = []\n for i in range(0, length):\n val1 = rocon_std_msgs.msg.Remapping()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.remap_from = str[start:end].decode('utf-8')\n else:\n val1.remap_from = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.remap_to = str[start:end].decode('utf-8')\n else:\n val1.remap_to = str[start:end]\n self.remappings.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.parameters = str[start:end].decode('utf-8')\n else:\n self.parameters = str[start:end]\n start = end\n end += 4\n (self.max,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.pairing.rapp = str[start:end].decode('utf-8')\n else:\n self.pairing.rapp = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.pairing.remappings = []\n for i in range(0, length):\n val1 = rocon_std_msgs.msg.Remapping()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.remap_from = str[start:end].decode('utf-8')\n else:\n val1.remap_from = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.remap_to = str[start:end].decode('utf-8')\n else:\n val1.remap_to = str[start:end]\n self.pairing.remappings.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.pairing.parameters = []\n for i in range(0, length):\n val1 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.key = str[start:end].decode('utf-8')\n else:\n val1.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.value = str[start:end].decode('utf-8')\n else:\n val1.value = str[start:end]\n self.pairing.parameters.append(val1)\n start = end\n end += 4\n (self.hash,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.role = str[start:end].decode('utf-8')\n else:\n self.role = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.battery_voltage,) = _struct_f.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.flight_mode_ll = str[start:end].decode('utf-8')\n else:\n self.flight_mode_ll = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.state_estimation = str[start:end].decode('utf-8')\n else:\n self.state_estimation = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.position_control = str[start:end].decode('utf-8')\n else:\n self.position_control = str[start:end]\n _x = self\n start = end\n end += 10\n (_x.serial_interface_enabled, _x.serial_interface_active, _x.flight_time, _x.cpu_load,) = _struct_2B2f.unpack(str[start:end])\n self.serial_interface_enabled = bool(self.serial_interface_enabled)\n self.serial_interface_active = bool(self.serial_interface_active)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.motor_status = str[start:end].decode('utf-8')\n else:\n self.motor_status = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.gps_status = str[start:end].decode('utf-8')\n else:\n self.gps_status = str[start:end]\n _x = self\n start = end\n end += 9\n (_x.gps_num_satellites, _x.have_SSDK_parameters, _x.timesync_offset,) = _struct_iBf.unpack(str[start:end])\n self.have_SSDK_parameters = bool(self.have_SSDK_parameters)\n start = end\n end += 16\n self.rc_channel = _struct_8H.unpack(str[start:end])\n start = end\n end += 12\n self.control_axes = _struct_6H.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.control_buttons = struct.unpack(pattern, str[start:end])\n _x = self\n start = end\n end += 48\n (_x.latitude, _x.longitude, _x.altitude, _x.pressure_height, _x.velocity_x, _x.velocity_y,) = _struct_6d.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def parse_and_decode(cls, data: bytes) -> \"Message\":\n if len(data) < cls.calc_size() + 1:\n raise NotEnoughData()\n if data[0] != cls.type:\n raise InvalidType()\n\n return cls(*unpack('<' + cls.fmt, data[1:cls.calc_size() + 1]))","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 56\n (_x.command, _x.set_num, _x.paraset_byte54, _x.paraset_byte53, _x.paraset_byte52, _x.paraset_byte51, _x.paraset_byte50, _x.paraset_byte49, _x.paraset_byte48, _x.paraset_byte47, _x.paraset_byte46, _x.paraset_byte45, _x.paraset_byte44, _x.paraset_byte43, _x.paraset_byte42, _x.paraset_byte41, _x.paraset_byte40, _x.paraset_byte39, _x.paraset_byte38, _x.paraset_byte37, _x.paraset_byte36, _x.paraset_byte35, _x.paraset_byte34, _x.paraset_byte33, _x.paraset_byte32, _x.paraset_byte31, _x.paraset_byte30, _x.paraset_byte29, _x.paraset_byte28, _x.paraset_byte27, _x.paraset_byte26, _x.paraset_byte25, _x.paraset_byte24, _x.paraset_byte23, _x.paraset_byte22, _x.paraset_byte21, _x.paraset_byte20, _x.paraset_byte19, _x.paraset_byte18, _x.paraset_byte17, _x.paraset_byte16, _x.paraset_byte15, _x.paraset_byte14, _x.paraset_byte13, _x.paraset_byte12, _x.paraset_byte11, _x.paraset_byte10, _x.paraset_byte9, _x.paraset_byte8, _x.paraset_byte7, _x.paraset_byte6, _x.paraset_byte5, _x.paraset_byte4, _x.paraset_byte3, _x.paraset_byte2, _x.paraset_byte1,) = _get_struct_56B().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 29\n (_x.status, _x.index, _x.range, _x.range_rate, _x.range_accl, _x.azimuth, _x.lateral_rate, _x.width, _x.is_mr_update, _x.is_lr_update, _x.amplitude,) = _get_struct_2B6f2Bb().unpack(str[start:end])\n self.is_mr_update = bool(self.is_mr_update)\n self.is_lr_update = bool(self.is_lr_update)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize(self, str):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.cond_transition is None:\n self.cond_transition = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.state_path = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.state_path = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.state_class = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.state_class = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.initial_state_name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.initial_state_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.input_keys = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.input_keys.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.output_keys = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.output_keys.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.cond_outcome = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.cond_outcome.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.cond_transition = []\n for i in range(0, length):\n val1 = flexbe_msgs.msg.OutcomeCondition()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.state_name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val2 = str[start:end]\n val1.state_name.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.state_outcome = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val2 = str[start:end]\n val1.state_outcome.append(val2)\n self.cond_transition.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.behavior_class = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.behavior_class = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.parameter_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.parameter_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.parameter_values = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.parameter_values.append(val1)\n start = end\n end += 8\n self.position = _get_struct_2f().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.outcomes = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.outcomes.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.transitions = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.transitions.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sb'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.autonomy = s.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.userdata_keys = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.userdata_keys.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.userdata_remapping = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.userdata_remapping.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n start = end\n end += 1\n (self.success,) = _struct_B.unpack(str[start:end])\n self.success = bool(self.success)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 34\n (_x.sensorId, _x.id, _x.length, _x.width, _x.measstat, _x.existprob, _x.dynprop, _x.latdisp, _x.longdisp, _x.relxdot, _x.relxddot, _x.latspeed, _x.obsprob, _x.rollcount, _x.rcs,) = _struct_H6B5f2Bf.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.sv is None:\n self.sv = None\n end = 0\n _x = self\n start = end\n end += 8\n (_x.rcvTOW, _x.week, _x.numSV, _x.reserved1,) = _get_struct_ih2B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.sv = []\n for i in range(0, length):\n val1 = ublox_msgs.msg.RxmRAW_SV()\n _x = val1\n start = end\n end += 24\n (_x.cpMes, _x.prMes, _x.doMes, _x.sv, _x.mesQI, _x.cno, _x.lli,) = _get_struct_2dfB2bB().unpack(str[start:end])\n self.sv.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 36\n (_x.mask, _x.dynModel, _x.fixMode, _x.fixedAlt, _x.fixedAltVar, _x.minElev, _x.drLimit, _x.pDop, _x.tDop, _x.pAcc, _x.tAcc, _x.staticHoldThresh, _x.dgpsTimeOut, _x.reserved2, _x.reserved3, _x.reserved4,) = _get_struct_H2BiIbB4H2B3I().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.type is None:\n self.type = std_msgs.msg.String()\n if self.parent_name is None:\n self.parent_name = std_msgs.msg.String()\n if self.name is None:\n self.name = std_msgs.msg.String()\n if self.pose is None:\n self.pose = geometry_msgs.msg.Pose()\n if self.sensed_objects is None:\n self.sensed_objects = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.sim_step,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.type.data = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.type.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.parent_name.data = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.parent_name.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.name.data = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.name.data = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.wall_time, _x.sim_time, _x.pose.position.x, _x.pose.position.y, _x.pose.position.z, _x.pose.orientation.x, _x.pose.orientation.y, _x.pose.orientation.z, _x.pose.orientation.w, _x.count,) = _get_struct_2f7dI().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sB'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.triggered = s.unpack(str[start:end])\n self.triggered = list(map(bool, self.triggered))\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.range = s.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.measurement = s.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.sensed_objects = []\n for i in range(0, length):\n val1 = std_msgs.msg.String()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.data = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1.data = str[start:end]\n self.sensed_objects.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.sensed_objects_map = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize(self, str):\n try:\n if self.model is None:\n self.model = articulation_msgs.msg.ModelMsg()\n if self.data is None:\n self.data = articulation_msgs.msg.ModelMsg()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.model.header.seq, _x.model.header.stamp.secs, _x.model.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model.name = str[start:end].decode('utf-8')\n else:\n self.model.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.model.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.model.track.header.seq, _x.model.track.header.stamp.secs, _x.model.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v15 = val1.position\n _x = _v15\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v16 = val1.orientation\n _x = _v16\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v17 = val1.stamp\n _x = _v17\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.model.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v18 = val1.position\n _x = _v18\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v19 = val1.orientation\n _x = _v19\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v20 = val1.position\n _x = _v20\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v21 = val1.orientation\n _x = _v21\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.model.track.pose_flags = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = struct.unpack(pattern, str[start:end])\n self.model.track.channels.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data.header.seq, _x.data.header.stamp.secs, _x.data.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data.name = str[start:end].decode('utf-8')\n else:\n self.data.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.data.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data.track.header.seq, _x.data.track.header.stamp.secs, _x.data.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v22 = val1.position\n _x = _v22\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v23 = val1.orientation\n _x = _v23\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v24 = val1.stamp\n _x = _v24\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.data.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v25 = val1.position\n _x = _v25\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v26 = val1.orientation\n _x = _v26\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v27 = val1.position\n _x = _v27\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v28 = val1.orientation\n _x = _v28\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.data.track.pose_flags = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = struct.unpack(pattern, str[start:end])\n self.data.track.channels.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.position is None:\n self.position = geometry_msgs.msg.Point()\n if self.approach is None:\n self.approach = geometry_msgs.msg.Vector3()\n if self.binormal is None:\n self.binormal = geometry_msgs.msg.Vector3()\n if self.axis is None:\n self.axis = geometry_msgs.msg.Vector3()\n if self.width is None:\n self.width = std_msgs.msg.Float32()\n if self.score is None:\n self.score = std_msgs.msg.Float32()\n if self.sample is None:\n self.sample = geometry_msgs.msg.Point()\n end = 0\n _x = self\n start = end\n end += 128\n (_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z,) = _get_struct_12d2f3d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 57\n (_x.decision, _x.distance, _x.oriX, _x.oriY, _x.oriZ, _x.placX, _x.placY, _x.placZ,) = _get_struct_b7d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.localStamp is None:\n self.localStamp = vehicle_msgs.msg.FrameStamp()\n if self.globalStamp is None:\n self.globalStamp = vehicle_msgs.msg.FrameStamp()\n if self.camera is None:\n self.camera = vehicle_msgs.msg.Camera()\n if self.camera_obj is None:\n self.camera_obj = None\n if self.camera_lane is None:\n self.camera_lane = vehicle_msgs.msg.Camera_Lane()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 16\n (_x.messageID, _x.localStamp.header.seq, _x.localStamp.header.stamp.secs, _x.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.localStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.localStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.localStamp.time, _x.localStamp.lat, _x.localStamp.lng, _x.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.localStamp.position = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.localStamp.orientation = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.localStamp.linearSpeed = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.localStamp.angularSpeed = _get_struct_3d().unpack(str[start:end])\n _x = self\n start = end\n end += 12\n (_x.globalStamp.header.seq, _x.globalStamp.header.stamp.secs, _x.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.globalStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.globalStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.globalStamp.time, _x.globalStamp.lat, _x.globalStamp.lng, _x.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.globalStamp.position = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.globalStamp.orientation = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.globalStamp.linearSpeed = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.globalStamp.angularSpeed = _get_struct_3d().unpack(str[start:end])\n _x = self\n start = end\n end += 12\n (_x.camera.header.seq, _x.camera.header.stamp.secs, _x.camera.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 16\n (_x.camera.messageID, _x.camera.localStamp.header.seq, _x.camera.localStamp.header.stamp.secs, _x.camera.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera.localStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera.localStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.camera.localStamp.time, _x.camera.localStamp.lat, _x.camera.localStamp.lng, _x.camera.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.camera.localStamp.position = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.camera.localStamp.orientation = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.camera.localStamp.linearSpeed = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.camera.localStamp.angularSpeed = _get_struct_3d().unpack(str[start:end])\n _x = self\n start = end\n end += 12\n (_x.camera.globalStamp.header.seq, _x.camera.globalStamp.header.stamp.secs, _x.camera.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera.globalStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera.globalStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.camera.globalStamp.time, _x.camera.globalStamp.lat, _x.camera.globalStamp.lng, _x.camera.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.camera.globalStamp.position = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.camera.globalStamp.orientation = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.camera.globalStamp.linearSpeed = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.camera.globalStamp.angularSpeed = _get_struct_3d().unpack(str[start:end])\n _x = self\n start = end\n end += 12\n (_x.camera.camera_numobstacles, _x.camera.VehSpeed,) = _get_struct_id().unpack(str[start:end])\n self.camera_obj = []\n for i in range(0, 10):\n val1 = vehicle_msgs.msg.Camera_Obj()\n _v9 = val1.header\n start = end\n end += 4\n (_v9.seq,) = _get_struct_I().unpack(str[start:end])\n _v10 = _v9.stamp\n _x = _v10\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v9.frame_id = str[start:end].decode('utf-8')\n else:\n _v9.frame_id = str[start:end]\n start = end\n end += 4\n (val1.messageID,) = _get_struct_i().unpack(str[start:end])\n _v11 = val1.localStamp\n _v12 = _v11.header\n start = end\n end += 4\n (_v12.seq,) = _get_struct_I().unpack(str[start:end])\n _v13 = _v12.stamp\n _x = _v13\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v12.frame_id = str[start:end].decode('utf-8')\n else:\n _v12.frame_id = str[start:end]\n _x = _v11\n start = end\n end += 32\n (_x.time, _x.lat, _x.lng, _x.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n _v11.position = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n _v11.orientation = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n _v11.linearSpeed = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n _v11.angularSpeed = _get_struct_3d().unpack(str[start:end])\n _v14 = val1.globalStamp\n _v15 = _v14.header\n start = end\n end += 4\n (_v15.seq,) = _get_struct_I().unpack(str[start:end])\n _v16 = _v15.stamp\n _x = _v16\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v15.frame_id = str[start:end].decode('utf-8')\n else:\n _v15.frame_id = str[start:end]\n _x = _v14\n start = end\n end += 32\n (_x.time, _x.lat, _x.lng, _x.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n _v14.position = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n _v14.orientation = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n _v14.linearSpeed = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n _v14.angularSpeed = _get_struct_3d().unpack(str[start:end])\n _x = val1\n start = end\n end += 136\n (_x.camera_obstacle_id, _x.camera_obstacleposx, _x.camera_obstacleposy, _x.blinkerInfo, _x.cut_in_and_out, _x.obstacle_type, _x.obstacle_status, _x.obstacle_valid, _x.obstacles_brake_lights, _x.obstacle_length, _x.obstacle_width, _x.obstacles_velx, _x.obstacleAge, _x.obstacleLane, _x.CIPVFlag, _x.RadarPosX, _x.RadarVelX, _x.RadarMatchConfidence, _x.MatcheRadarID, _x.obstacleAngleRate, _x.obstacles_velY, _x.object_Accel_X, _x.obstacleReplaced, _x.obstacleAngle,) = _get_struct_i2d6i3d3i2d2ididid().unpack(str[start:end])\n self.camera_obj.append(val1)\n _x = self\n start = end\n end += 12\n (_x.camera_lane.header.seq, _x.camera_lane.header.stamp.secs, _x.camera_lane.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_lane.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera_lane.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 16\n (_x.camera_lane.messageID, _x.camera_lane.localStamp.header.seq, _x.camera_lane.localStamp.header.stamp.secs, _x.camera_lane.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_lane.localStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera_lane.localStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.camera_lane.localStamp.time, _x.camera_lane.localStamp.lat, _x.camera_lane.localStamp.lng, _x.camera_lane.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.camera_lane.localStamp.position = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.camera_lane.localStamp.orientation = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.camera_lane.localStamp.linearSpeed = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.camera_lane.localStamp.angularSpeed = _get_struct_3d().unpack(str[start:end])\n _x = self\n start = end\n end += 12\n (_x.camera_lane.globalStamp.header.seq, _x.camera_lane.globalStamp.header.stamp.secs, _x.camera_lane.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_lane.globalStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera_lane.globalStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.camera_lane.globalStamp.time, _x.camera_lane.globalStamp.lat, _x.camera_lane.globalStamp.lng, _x.camera_lane.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.camera_lane.globalStamp.position = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.camera_lane.globalStamp.orientation = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.camera_lane.globalStamp.linearSpeed = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.camera_lane.globalStamp.angularSpeed = _get_struct_3d().unpack(str[start:end])\n _x = self\n start = end\n end += 404\n (_x.camera_lane.l_numoflaneline, _x.camera_lane.l_lanelineid, _x.camera_lane.l_lanepositon, _x.camera_lane.l_lanecurvature, _x.camera_lane.l_lanecurvaturederivative, _x.camera_lane.l_lane_type, _x.camera_lane.l_heading_angle, _x.camera_lane.l_lane_mark_color, _x.camera_lane.l_laneQuality, _x.camera_lane.l_laneWidthMarking, _x.camera_lane.l_laneViewRangStart, _x.camera_lane.l_laneViewRangEnd, _x.camera_lane.l_laneCrossing, _x.camera_lane.l_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.l_lanePRED_OTHER_SIDE, _x.camera_lane.l_lanePRED_OVERRIDE, _x.camera_lane.l_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.l_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.l_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.l_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.l_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.l_lanePRED_SOURCE_STD, _x.camera_lane.l_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.l_laneTCL, _x.camera_lane.r_numoflaneline, _x.camera_lane.r_lanelineid, _x.camera_lane.r_lanepositon, _x.camera_lane.r_lanecurvature, _x.camera_lane.r_lanecurvaturederivative, _x.camera_lane.r_lane_type, _x.camera_lane.r_heading_angle, _x.camera_lane.r_lane_mark_color, _x.camera_lane.r_laneQuality, _x.camera_lane.r_laneWidthMarking, _x.camera_lane.r_laneViewRangStart, _x.camera_lane.r_laneViewRangEnd, _x.camera_lane.r_laneCrossing, _x.camera_lane.r_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.r_lanePRED_OTHER_SIDE, _x.camera_lane.r_lanePRED_OVERRIDE, _x.camera_lane.r_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.r_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.r_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.r_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.r_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.r_lanePRED_SOURCE_STD, _x.camera_lane.r_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.r_laneTCL, _x.camera_lane.next_l_laneViewRangStart, _x.camera_lane.next_l_laneViewRangEnd, _x.camera_lane.next_l_numoflaneline, _x.camera_lane.next_l_lanelineid, _x.camera_lane.next_l_lanepositon, _x.camera_lane.next_l_lanecurvature, _x.camera_lane.next_l_lanecurvaturederivative, _x.camera_lane.next_l_lane_type, _x.camera_lane.next_l_heading_angle, _x.camera_lane.next_l_lane_mark_color, _x.camera_lane.next_l_laneQuality, _x.camera_lane.next_l_laneWidthMarking, _x.camera_lane.next_r_laneViewRangStart, _x.camera_lane.next_r_laneViewRangEnd, _x.camera_lane.next_r_numoflaneline, _x.camera_lane.next_r_lanelineid, _x.camera_lane.next_r_lanepositon, _x.camera_lane.next_r_lanecurvature, _x.camera_lane.next_r_lanecurvaturederivative, _x.camera_lane.next_r_lane_type, _x.camera_lane.next_r_heading_angle, _x.camera_lane.next_r_lane_mark_color, _x.camera_lane.next_r_laneQuality, _x.camera_lane.next_r_laneWidthMarking, _x.camera_lane.highwayConstructionArea, _x.camera_lane.highwayRoadType, _x.camera_lane.highwayHighwayExitRight, _x.camera_lane.highwayHighwayExitLeft, _x.camera_lane.highwayProbabilityLeftLane, _x.camera_lane.highwayProbabilityRightLane, _x.camera_lane.highwayDriving_peed_left_lane, _x.camera_lane.highwayDriving_peed_right_lane, _x.camera_lane.highwayprotocol_version,) = _get_struct_2i3did19i3did21i3did7i3did7i4di().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 6\n (_x.sbpl_wait_flag, _x.sbpl_present_x, _x.sbpl_present_y, _x.sbpl_new_x, _x.sbpl_new_y, _x.start_P3DX_motion,) = _struct_B4bB.unpack(str[start:end])\n self.sbpl_wait_flag = bool(self.sbpl_wait_flag)\n self.start_P3DX_motion = bool(self.start_P3DX_motion)\n return self\n except struct.error as e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.vehicle_id is None:\n self.vehicle_id = opil_v2.msg.Id()\n if self.action_capability is None:\n self.action_capability = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.vehicle_id.id,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.vehicle_id.description = str[start:end].decode('utf-8')\n else:\n self.vehicle_id.description = str[start:end]\n _x = self\n start = end\n end += 84\n (_x.left_size, _x.right_size, _x.front_size, _x.rear_size, _x.min_height, _x.max_height, _x.payload, _x.max_pos_x_vel, _x.max_neg_x_vel, _x.max_pos_x_acc, _x.max_neg_x_acc, _x.max_pos_y_vel, _x.max_neg_y_vel, _x.max_pos_y_acc, _x.max_neg_y_acc, _x.max_pos_ang_vel, _x.max_neg_ang_vel, _x.velocity_control_sensitivity, _x.min_turning_radius, _x.batt_capacity, _x.batt_max_voltage,) = _get_struct_21f().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.vehicle_type = str[start:end].decode('utf-8')\n else:\n self.vehicle_type = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.vendor = str[start:end].decode('utf-8')\n else:\n self.vendor = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.action_capability = []\n for i in range(0, length):\n val1 = opil_v2.msg.RobotAction()\n _x = val1\n start = end\n end += 2\n (_x.category, _x.action,) = _get_struct_2B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.attributes = []\n for i in range(0, length):\n val2 = opil_v2.msg.Tuple()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.type = str[start:end].decode('utf-8')\n else:\n val2.type = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.value = str[start:end].decode('utf-8')\n else:\n val2.value = str[start:end]\n val1.attributes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.description = str[start:end].decode('utf-8')\n else:\n val1.description = str[start:end]\n self.action_capability.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 12\n (_x.hlive, _x.hstate, _x.hfinished, _x.pressure, _x.c1, _x.c2, _x.c3, _x.c4, _x.c5, _x.c6, _x.c7, _x.c8,) = _struct_12B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg._Header.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 9\n (_x.dvl_sts, _x.svs_sts, _x.fog_sts, _x.nav_sts, _x.bat_sts, _x.t_sts, _x.h_sts, _x.p_sts, _x.water_sts,) = _struct_9B.unpack(str[start:end])\n self.dvl_sts = bool(self.dvl_sts)\n self.svs_sts = bool(self.svs_sts)\n self.fog_sts = bool(self.fog_sts)\n self.nav_sts = bool(self.nav_sts)\n self.bat_sts = bool(self.bat_sts)\n self.t_sts = bool(self.t_sts)\n self.h_sts = bool(self.h_sts)\n self.p_sts = bool(self.p_sts)\n self.water_sts = bool(self.water_sts)\n return self\n except struct.error as e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.pose is None:\n self.pose = geometry_msgs.msg.PoseWithCovariance()\n end = 0\n _x = self\n start = end\n end += 72\n (_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w,) = _get_struct_Q8d().unpack(str[start:end])\n start = end\n end += 288\n self.pose.covariance = _get_struct_36d().unpack(str[start:end])\n _x = self\n start = end\n end += 40\n (_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h,) = _get_struct_5d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.modality = str[start:end].decode('utf-8')\n else:\n self.modality = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.embed_vector = struct.unpack(pattern, str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 24\n (_x.sysid, _x.compid, _x.limits_state, _x.last_trigger, _x.last_action, _x.last_recovery, _x.last_clear, _x.breach_count, _x.mods_enabled, _x.mods_required, _x.mods_triggered,) = _struct_3B4IH3B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.model_aligned is None:\n self.model_aligned = articulation_msgs.msg.ModelMsg()\n if self.data_aligned is None:\n self.data_aligned = articulation_msgs.msg.ModelMsg()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model_aligned.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model_aligned.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.name = str[start:end].decode('utf-8')\n else:\n self.model_aligned.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.model_aligned.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model_aligned.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model_aligned.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v71 = val1.position\n _x = _v71\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v72 = val1.orientation\n _x = _v72\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v73 = val1.stamp\n _x = _v73\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.model_aligned.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v74 = val1.position\n _x = _v74\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v75 = val1.orientation\n _x = _v75\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v76 = val1.position\n _x = _v76\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v77 = val1.orientation\n _x = _v77\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.model_aligned.track.pose_flags = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = struct.unpack(pattern, str[start:end])\n self.model_aligned.track.channels.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data_aligned.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data_aligned.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.name = str[start:end].decode('utf-8')\n else:\n self.data_aligned.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.data_aligned.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data_aligned.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data_aligned.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v78 = val1.position\n _x = _v78\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v79 = val1.orientation\n _x = _v79\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v80 = val1.stamp\n _x = _v80\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.data_aligned.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v81 = val1.position\n _x = _v81\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v82 = val1.orientation\n _x = _v82\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v83 = val1.position\n _x = _v83\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v84 = val1.orientation\n _x = _v84\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.data_aligned.track.pose_flags = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = struct.unpack(pattern, str[start:end])\n self.data_aligned.track.channels.append(val1)\n start = end\n end += 72\n self.R = _struct_9d.unpack(str[start:end])\n start = end\n end += 24\n self.T = _struct_3d.unpack(str[start:end])\n _x = self\n start = end\n end += 12\n (_x.dist_rot, _x.dist_trans,) = _struct_df.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 32\n (_x.distance_front, _x.angle_front, _x.distance_back, _x.angle_back, _x.turn_left,) = _struct_didid.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.turn_left_sensor = str[start:end]\n start = end\n end += 8\n (self.turn_right,) = _struct_d.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.turn_right_sensor = str[start:end]\n return self\n except struct.error as e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def __parse_message_as(msg_type: type, msg_str: str) -> Any:\n # parse the message\n msg_dict = json.loads(msg_str)\n\n # the type specified in the message needs to match\n # the type we are parsing as\n assert msg_dict[MSG_TYPE_NAME] == msg_type.__name__, \\\n f\"Message type did not match the parsing type,\" \\\n f\"parsing the message as type {msg_type.__name__},\" \\\n f\"but get a message of type {msg_dict[MSG_TYPE_NAME]}\"\n\n # remove the message type information, and create the object\n del msg_dict[MSG_TYPE_NAME]\n return msg_type(**msg_dict)","def from_msg(cls, msg):\n if cls._debug:\n log.debug('msg=%s', msg)\n key, seq_s, uuid, prop_s, body = msg\n key = key if key else None\n seq = struct.unpack('!q', seq_s)[0]\n body = body if body else None\n if body:\n body = pipeline.load(body)\n #body = json.loads(body_s)\n #prop = json.loads(prop_s)\n prop = pipeline.load(prop_s)\n return cls(seq, uuid=uuid, key=key, properties=prop, body=body)","def unpack(self, raw_message):\n return self._msg_struct.unpack(raw_message)","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 72\n (_x.lnid, _x.did, _x.blid, _x.flid, _x.bnid, _x.fnid, _x.jct, _x.blid2, _x.blid3, _x.blid4, _x.flid2, _x.flid3, _x.flid4, _x.clossid, _x.span, _x.lcnt, _x.lno,) = _struct_14id2i.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.canmsg = str[start:end].decode('utf-8')\n else:\n self.canmsg = str[start:end]\n _x = self\n start = end\n end += 30\n (_x.track_id, _x.track_lat_rate, _x.track_group_changed, _x.track_status, _x.track_angle, _x.track_range, _x.track_bridge_object, _x.track_rolling_count, _x.track_width, _x.track_range_accel, _x.track_med_range_mode, _x.track_range_rate,) = _get_struct_Bf2B2f2B2fBf().unpack(str[start:end])\n self.track_group_changed = bool(self.track_group_changed)\n self.track_bridge_object = bool(self.track_bridge_object)\n self.track_rolling_count = bool(self.track_rolling_count)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n start = end\n end += 1\n (self.type,) = _struct_B.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model = str[start:end].decode('utf-8')\n else:\n self.model = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.head_version = str[start:end].decode('utf-8')\n else:\n self.head_version = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.body_version = str[start:end].decode('utf-8')\n else:\n self.body_version = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.arm_version = str[start:end].decode('utf-8')\n else:\n self.arm_version = str[start:end]\n _x = self\n start = end\n end += 14\n (_x.has_laser, _x.has_extended_arms, _x.number_of_legs, _x.number_of_arms, _x.number_of_hands,) = _struct_2B3i.unpack(str[start:end])\n self.has_laser = bool(self.has_laser)\n self.has_extended_arms = bool(self.has_extended_arms)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def decode(cls, buffer):\n\n if len(buffer) < struct.calcsize(b\"<i\"):\n raise IncompleteMessageError\n size = struct.unpack(b\"<i\", buffer[:4])[0]\n if len(buffer) - struct.calcsize(b\"<i\") < size:\n raise IncompleteMessageError\n packet = buffer[:size + 4]\n buffer = buffer[size + 4:]\n id = struct.unpack(b\"<i\", packet[4:8])[0]\n type = struct.unpack(b\"<i\", packet[8:12])[0]\n body = packet[12:][:-2].decode(\"ascii\")\n return cls(id, type, body), buffer","def unpack(self, s):\n\n raise NotImplementedError()","def deserialize(self, str):\n try:\n if self.line is None:\n self.line = None\n if self.circle is None:\n self.circle = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.id = str[start:end].decode('utf-8')\n else:\n self.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.line = []\n for i in range(0, length):\n val1 = krssg_ssl_msgs.msg.sslDebug_Line()\n _x = val1\n start = end\n end += 20\n (_x.x1, _x.y1, _x.x2, _x.y2, _x.color,) = _get_struct_4if().unpack(str[start:end])\n self.line.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.circle = []\n for i in range(0, length):\n val1 = krssg_ssl_msgs.msg.sslDebug_Circle()\n _x = val1\n start = end\n end += 16\n (_x.x, _x.y, _x.radius, _x.color,) = _get_struct_3if().unpack(str[start:end])\n self.circle.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.tsp_turtles = str[start:end].decode('utf-8')\n else:\n self.tsp_turtles = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.conveyor_turtle = str[start:end].decode('utf-8')\n else:\n self.conveyor_turtle = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.catch_turtle = str[start:end].decode('utf-8')\n else:\n self.catch_turtle = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.RPY is None:\n self.RPY = geometry_msgs.msg.Vector3()\n if self.LLA is None:\n self.LLA = geometry_msgs.msg.Vector3()\n if self.NedVel is None:\n self.NedVel = geometry_msgs.msg.Vector3()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 116\n (_x.Time, _x.Week, _x.Status, _x.RPY.x, _x.RPY.y, _x.RPY.z, _x.LLA.x, _x.LLA.y, _x.LLA.z, _x.NedVel.x, _x.NedVel.y, _x.NedVel.z, _x.YawUncertainty, _x.PitchUncertainty, _x.RollUncertainty, _x.PosUncertainty, _x.VelUncertainty, _x.SyncInTime, _x.SyncInCount,) = _get_struct_d2H9d5fdI().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.pointA is None:\n self.pointA = nubot_common.msg.Point2d()\n if self.pointB is None:\n self.pointB = nubot_common.msg.Point2d()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 26\n (_x.MatchMode, _x.MatchType, _x.TestMode, _x.pointA.x, _x.pointA.y, _x.pointB.x, _x.pointB.y, _x.angleA, _x.angleB, _x.idA, _x.idB, _x.kickforce,) = _get_struct_3B4f2h3B().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.x is None:\n self.x = geometry_msgs.msg.PoseStamped()\n if self.x_desi is None:\n self.x_desi = geometry_msgs.msg.PoseStamped()\n if self.x_desi_filtered is None:\n self.x_desi_filtered = geometry_msgs.msg.PoseStamped()\n if self.x_err is None:\n self.x_err = geometry_msgs.msg.Twist()\n if self.xd is None:\n self.xd = geometry_msgs.msg.Twist()\n if self.xd_desi is None:\n self.xd_desi = geometry_msgs.msg.Twist()\n if self.F is None:\n self.F = geometry_msgs.msg.Wrench()\n if self.J is None:\n self.J = std_msgs.msg.Float64MultiArray()\n if self.N is None:\n self.N = std_msgs.msg.Float64MultiArray()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x_desi.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x_desi.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x_desi_filtered.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x_desi_filtered.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 248\n (_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z,) = _get_struct_31d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau_pose = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau_posture = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.J.layout.dim = []\n for i in range(0, length):\n val1 = std_msgs.msg.MultiArrayDimension()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.label = str[start:end].decode('utf-8')\n else:\n val1.label = str[start:end]\n _x = val1\n start = end\n end += 8\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\n self.J.layout.dim.append(val1)\n start = end\n end += 4\n (self.J.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.J.data = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.N.layout.dim = []\n for i in range(0, length):\n val1 = std_msgs.msg.MultiArrayDimension()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.label = str[start:end].decode('utf-8')\n else:\n val1.label = str[start:end]\n _x = val1\n start = end\n end += 8\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\n self.N.layout.dim.append(val1)\n start = end\n end += 4\n (self.N.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.N.data = struct.unpack(pattern, str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.position is None:\n self.position = pcl_segment.msg.positionRPY()\n end = 0\n _x = self\n start = end\n end += 57\n (_x.position.x, _x.position.y, _x.position.z, _x.position.roll, _x.position.pitch, _x.position.yaw, _x.position.stamp.secs, _x.position.stamp.nsecs, _x.is_Known,) = _get_struct_6d2IB().unpack(str[start:end])\n self.is_Known = bool(self.is_Known)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.actors is None:\n self.actors = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.actors = []\n for i in range(0, length):\n val1 = nesfr3_msgs.msg.Actor()\n _v9 = val1.header\n start = end\n end += 4\n (_v9.seq,) = _get_struct_I().unpack(str[start:end])\n _v10 = _v9.stamp\n _x = _v10\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v9.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v9.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (val1.tracking_id,) = _get_struct_I().unpack(str[start:end])\n _v11 = val1.pose\n _v12 = _v11.pose\n _v13 = _v12.position\n _x = _v13\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v14 = _v12.orientation\n _x = _v14\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 288\n _v11.covariance = _get_struct_36d().unpack(str[start:end])\n val1.points = []\n for i in range(0, 18):\n val2 = nesfr3_msgs.msg.PointWithConfidence()\n _v15 = val2.point\n _x = _v15\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 4\n (val2.confidence,) = _get_struct_f().unpack(str[start:end])\n val1.points.append(val2)\n _v16 = val1.nose_point\n _x = _v16\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.actors.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def parse_Bytes(serialized_bytes, msg_class):\n if msg_class is None or msg_class is bytes:\n return serialized_bytes\n msg = msg_class()\n msg.ParseFromString(serialized_bytes)\n return msg","def deserialize(self, str):\n try:\n end = 0\n start = end\n end += 2580\n self.Rscanpose = _get_struct_645f().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.predict is None:\n self.predict = argus_msgs.msg.FilterPredictStep()\n if self.update is None:\n self.update = argus_msgs.msg.FilterUpdateStep()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 26\n (_x.step_num, _x.info_type, _x.predict.step_dt, _x.predict.trans_jacobian.column_major, _x.predict.trans_jacobian.rows, _x.predict.trans_jacobian.cols,) = _get_struct_QBdB2I().unpack(str[start:end])\n self.predict.trans_jacobian.column_major = bool(self.predict.trans_jacobian.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.predict.trans_jacobian.data = struct.unpack(pattern, str[start:end])\n _x = self\n start = end\n end += 9\n (_x.predict.trans_noise_cov.column_major, _x.predict.trans_noise_cov.rows, _x.predict.trans_noise_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.predict.trans_noise_cov.column_major = bool(self.predict.trans_noise_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.predict.trans_noise_cov.data = struct.unpack(pattern, str[start:end])\n _x = self\n start = end\n end += 9\n (_x.predict.prior_state_cov.column_major, _x.predict.prior_state_cov.rows, _x.predict.prior_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.predict.prior_state_cov.column_major = bool(self.predict.prior_state_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.predict.prior_state_cov.data = struct.unpack(pattern, str[start:end])\n _x = self\n start = end\n end += 9\n (_x.predict.post_state_cov.column_major, _x.predict.post_state_cov.rows, _x.predict.post_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.predict.post_state_cov.column_major = bool(self.predict.post_state_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.predict.post_state_cov.data = struct.unpack(pattern, str[start:end])\n _x = self\n start = end\n end += 9\n (_x.update.prior_state_cov.column_major, _x.update.prior_state_cov.rows, _x.update.prior_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.prior_state_cov.column_major = bool(self.update.prior_state_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.prior_state_cov.data = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.prior_obs_error = struct.unpack(pattern, str[start:end])\n _x = self\n start = end\n end += 9\n (_x.update.obs_error_cov.column_major, _x.update.obs_error_cov.rows, _x.update.obs_error_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.obs_error_cov.column_major = bool(self.update.obs_error_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.obs_error_cov.data = struct.unpack(pattern, str[start:end])\n _x = self\n start = end\n end += 9\n (_x.update.post_state_cov.column_major, _x.update.post_state_cov.rows, _x.update.post_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.post_state_cov.column_major = bool(self.update.post_state_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.post_state_cov.data = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.state_delta = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.post_obs_error = struct.unpack(pattern, str[start:end])\n _x = self\n start = end\n end += 9\n (_x.update.obs_jacobian.column_major, _x.update.obs_jacobian.rows, _x.update.obs_jacobian.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.obs_jacobian.column_major = bool(self.update.obs_jacobian.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.obs_jacobian.data = struct.unpack(pattern, str[start:end])\n _x = self\n start = end\n end += 9\n (_x.update.obs_noise_cov.column_major, _x.update.obs_noise_cov.rows, _x.update.obs_noise_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.obs_noise_cov.column_major = bool(self.update.obs_noise_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.obs_noise_cov.data = struct.unpack(pattern, str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def decode_message(self, raw):\n return raw.decode('utf-8')","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 112\n (_x.u0, _x.h0, _x.vl, _x.i0, _x.wv, _x.wh, _x.wi, _x.h_stop, _x.T_gap, _x.v_max, _x.v_min, _x.h_min, _x.i_max, _x.i_min,) = _struct_14d.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.nodes is None:\n self.nodes = None\n end = 0\n _x = self\n start = end\n end += 14\n (_x.role, _x.id, _x.local_time, _x.system_time, _x.voltage,) = _get_struct_2B2If().unpack(str[start:end])\n start = end\n end += 12\n self.pos_3d = _get_struct_3f().unpack(str[start:end])\n start = end\n end += 12\n self.eop_3d = _get_struct_3f().unpack(str[start:end])\n start = end\n end += 12\n self.vel_3d = _get_struct_3f().unpack(str[start:end])\n start = end\n end += 12\n self.angle_3d = _get_struct_3f().unpack(str[start:end])\n start = end\n end += 16\n self.quaternion = _get_struct_4f().unpack(str[start:end])\n start = end\n end += 12\n self.imu_gyro_3d = _get_struct_3f().unpack(str[start:end])\n start = end\n end += 12\n self.imu_acc_3d = _get_struct_3f().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.nodes = []\n for i in range(0, length):\n val1 = nlink_parser.msg.LinktrackNode2()\n _x = val1\n start = end\n end += 14\n (_x.role, _x.id, _x.dis, _x.fp_rssi, _x.rx_rssi,) = _get_struct_2B3f().unpack(str[start:end])\n self.nodes.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 56\n (_x.s_x, _x.s_y, _x.f_x, _x.f_y, _x.step_size, _x.bias_param, _x.max_iteration,) = _struct_7q.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 16\n (_x.FL_vel, _x.FR_vel, _x.BL_vel, _x.BR_vel,) = _struct_4i.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 100\n (_x.id, _x.age, _x.velocidad_relativa_x, _x.velocidad_relativa_y, _x.velocidad_absoluta_x, _x.velocidad_absoluta_y, _x.velocidad_absoluta_sigma_x, _x.velocidad_absoluta_sigma_y, _x.bounding_box_centro_x, _x.bounding_box_centro_y, _x.bounding_box_largo, _x.bounding_box_ancho, _x.object_box_centro_x, _x.object_box_centro_y, _x.object_box_orientacion, _x.object_box_size_x, _x.object_box_size_y, _x.clasificacion, _x.clasificacion_age, _x.clasificacion_certeza, _x.punto_cercano_x, _x.punto_cercano_y, _x.punto_referencia_x, _x.punto_referencia_y, _x.punto_referencia_sigma_x, _x.punto_referencia_sigma_y,) = _get_struct_h16fh8f().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.object1 = str[start:end].decode('utf-8')\n else:\n self.object1 = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.object2 = str[start:end].decode('utf-8')\n else:\n self.object2 = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.penetration_distance, _x.operation,) = _struct_di.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n if python3:\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 86\n (_x.sample_count, _x.ekf_roll, _x.ekf_pitch, _x.ekf_yaw, _x.ekf_lat, _x.ekf_lon, _x.ekf_alt, _x.ekf_vN, _x.ekf_vE, _x.ekf_vD, _x.ekf_vX, _x.ekf_vY, _x.ekf_vZ, _x.rad_gyro_X, _x.rad_gyro_Y, _x.rad_gyro_Z, _x.angular_acc_X, _x.angular_acc_Y, _x.angular_acc_Z, _x.alt_DVL,) = _get_struct_I3f2d13fH().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.dvl_error_code = str[start:end]\n _x = self\n start = end\n end += 73\n (_x.flag_to_check, _x.imu_deg_gyro_X, _x.imu_deg_gyro_Y, _x.imu_deg_gyro_Z, _x.imu_mag_X, _x.imu_mag_Y, _x.imu_mag_Z, _x.imu_acc_X, _x.imu_acc_Y, _x.imu_acc_Z, _x.gps_lat, _x.gps_lon, _x.gps_alt, _x.gps_vN, _x.gps_vE, _x.gps_vD, _x.dvl_vX, _x.dvl_vY, _x.dvl_vZ,) = _get_struct_B9f2i7f().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def _recv_serialized(self, socket):\n msg = pickle.loads(socket.recv())\n return msg","def deserialize(self, str):\n if python3:\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.graspable_objects is None:\n self.graspable_objects = None\n if self.image is None:\n self.image = sensor_msgs.msg.Image()\n if self.camera_info is None:\n self.camera_info = sensor_msgs.msg.CameraInfo()\n if self.meshes is None:\n self.meshes = None\n if self.reference_to_camera is None:\n self.reference_to_camera = geometry_msgs.msg.Pose()\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.graspable_objects = []\n for i in range(0, length):\n val1 = manipulation_msgs.msg.GraspableObject()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.reference_frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1.reference_frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.potential_models = []\n for i in range(0, length):\n val2 = household_objects_database_msgs.msg.DatabaseModelPose()\n start = end\n end += 4\n (val2.model_id,) = _get_struct_i().unpack(str[start:end])\n _v32 = val2.type\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v32.key = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v32.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v32.db = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v32.db = str[start:end]\n _v33 = val2.pose\n _v34 = _v33.header\n start = end\n end += 4\n (_v34.seq,) = _get_struct_I().unpack(str[start:end])\n _v35 = _v34.stamp\n _x = _v35\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v34.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v34.frame_id = str[start:end]\n _v36 = _v33.pose\n _v37 = _v36.position\n _x = _v37\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v38 = _v36.orientation\n _x = _v38\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (val2.confidence,) = _get_struct_f().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.detector_name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val2.detector_name = str[start:end]\n val1.potential_models.append(val2)\n _v39 = val1.cluster\n _v40 = _v39.header\n start = end\n end += 4\n (_v40.seq,) = _get_struct_I().unpack(str[start:end])\n _v41 = _v40.stamp\n _x = _v41\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v40.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v40.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v39.points = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Point32()\n _x = val3\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _get_struct_3f().unpack(str[start:end])\n _v39.points.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v39.channels = []\n for i in range(0, length):\n val3 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val3.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n val3.values = s.unpack(str[start:end])\n _v39.channels.append(val3)\n _v42 = val1.region\n _v43 = _v42.cloud\n _v44 = _v43.header\n start = end\n end += 4\n (_v44.seq,) = _get_struct_I().unpack(str[start:end])\n _v45 = _v44.stamp\n _x = _v45\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v44.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v44.frame_id = str[start:end]\n _x = _v43\n start = end\n end += 8\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v43.fields = []\n for i in range(0, length):\n val4 = sensor_msgs.msg.PointField()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val4.name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val4.name = str[start:end]\n _x = val4\n start = end\n end += 9\n (_x.offset, _x.datatype, _x.count,) = _get_struct_IBI().unpack(str[start:end])\n _v43.fields.append(val4)\n _x = _v43\n start = end\n end += 9\n (_x.is_bigendian, _x.point_step, _x.row_step,) = _get_struct_B2I().unpack(str[start:end])\n _v43.is_bigendian = bool(_v43.is_bigendian)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v43.data = str[start:end]\n start = end\n end += 1\n (_v43.is_dense,) = _get_struct_B().unpack(str[start:end])\n _v43.is_dense = bool(_v43.is_dense)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n _v42.mask = s.unpack(str[start:end])\n _v46 = _v42.image\n _v47 = _v46.header\n start = end\n end += 4\n (_v47.seq,) = _get_struct_I().unpack(str[start:end])\n _v48 = _v47.stamp\n _x = _v48\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v47.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v47.frame_id = str[start:end]\n _x = _v46\n start = end\n end += 8\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v46.encoding = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v46.encoding = str[start:end]\n _x = _v46\n start = end\n end += 5\n (_x.is_bigendian, _x.step,) = _get_struct_BI().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v46.data = str[start:end]\n _v49 = _v42.disparity_image\n _v50 = _v49.header\n start = end\n end += 4\n (_v50.seq,) = _get_struct_I().unpack(str[start:end])\n _v51 = _v50.stamp\n _x = _v51\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v50.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v50.frame_id = str[start:end]\n _x = _v49\n start = end\n end += 8\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v49.encoding = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v49.encoding = str[start:end]\n _x = _v49\n start = end\n end += 5\n (_x.is_bigendian, _x.step,) = _get_struct_BI().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v49.data = str[start:end]\n _v52 = _v42.cam_info\n _v53 = _v52.header\n start = end\n end += 4\n (_v53.seq,) = _get_struct_I().unpack(str[start:end])\n _v54 = _v53.stamp\n _x = _v54\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v53.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v53.frame_id = str[start:end]\n _x = _v52\n start = end\n end += 8\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v52.distortion_model = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v52.distortion_model = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n _v52.D = s.unpack(str[start:end])\n start = end\n end += 72\n _v52.K = _get_struct_9d().unpack(str[start:end])\n start = end\n end += 72\n _v52.R = _get_struct_9d().unpack(str[start:end])\n start = end\n end += 96\n _v52.P = _get_struct_12d().unpack(str[start:end])\n _x = _v52\n start = end\n end += 8\n (_x.binning_x, _x.binning_y,) = _get_struct_2I().unpack(str[start:end])\n _v55 = _v52.roi\n _x = _v55\n start = end\n end += 17\n (_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify,) = _get_struct_4IB().unpack(str[start:end])\n _v55.do_rectify = bool(_v55.do_rectify)\n _v56 = _v42.roi_box_pose\n _v57 = _v56.header\n start = end\n end += 4\n (_v57.seq,) = _get_struct_I().unpack(str[start:end])\n _v58 = _v57.stamp\n _x = _v58\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v57.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v57.frame_id = str[start:end]\n _v59 = _v56.pose\n _v60 = _v59.position\n _x = _v60\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v61 = _v59.orientation\n _x = _v61\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v62 = _v42.roi_box_dims\n _x = _v62\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.collision_name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1.collision_name = str[start:end]\n self.graspable_objects.append(val1)\n _x = self\n start = end\n end += 12\n (_x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.image.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.image.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.image.height, _x.image.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.image.encoding = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.image.encoding = str[start:end]\n _x = self\n start = end\n end += 5\n (_x.image.is_bigendian, _x.image.step,) = _get_struct_BI().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.image.data = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.camera_info.header.seq, _x.camera_info.header.stamp.secs, _x.camera_info.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_info.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.camera_info.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.camera_info.height, _x.camera_info.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_info.distortion_model = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.camera_info.distortion_model = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.camera_info.D = s.unpack(str[start:end])\n start = end\n end += 72\n self.camera_info.K = _get_struct_9d().unpack(str[start:end])\n start = end\n end += 72\n self.camera_info.R = _get_struct_9d().unpack(str[start:end])\n start = end\n end += 96\n self.camera_info.P = _get_struct_12d().unpack(str[start:end])\n _x = self\n start = end\n end += 25\n (_x.camera_info.binning_x, _x.camera_info.binning_y, _x.camera_info.roi.x_offset, _x.camera_info.roi.y_offset, _x.camera_info.roi.height, _x.camera_info.roi.width, _x.camera_info.roi.do_rectify,) = _get_struct_6IB().unpack(str[start:end])\n self.camera_info.roi.do_rectify = bool(self.camera_info.roi.do_rectify)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.meshes = []\n for i in range(0, length):\n val1 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.triangles = []\n for i in range(0, length):\n val2 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val2.vertex_indices = _get_struct_3I().unpack(str[start:end])\n val1.triangles.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.vertices = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Point()\n _x = val2\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val1.vertices.append(val2)\n self.meshes.append(val1)\n _x = self\n start = end\n end += 56\n (_x.reference_to_camera.position.x, _x.reference_to_camera.position.y, _x.reference_to_camera.position.z, _x.reference_to_camera.orientation.x, _x.reference_to_camera.orientation.y, _x.reference_to_camera.orientation.z, _x.reference_to_camera.orientation.w,) = _get_struct_7d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize(self, str):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.goal_id is None:\n self.goal_id = actionlib_msgs.msg.GoalID()\n if self.goal is None:\n self.goal = coordinator.msg.ManipTaskGoal()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal_id.id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.goal_id.id = str[start:end]\n _x = self\n start = end\n end += 20\n (_x.goal.action_code, _x.goal.object_code, _x.goal.pickup_frame.header.seq, _x.goal.pickup_frame.header.stamp.secs, _x.goal.pickup_frame.header.stamp.nsecs,) = _get_struct_2i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.pickup_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.goal.pickup_frame.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.goal.pickup_frame.pose.position.x, _x.goal.pickup_frame.pose.position.y, _x.goal.pickup_frame.pose.position.z, _x.goal.pickup_frame.pose.orientation.x, _x.goal.pickup_frame.pose.orientation.y, _x.goal.pickup_frame.pose.orientation.z, _x.goal.pickup_frame.pose.orientation.w, _x.goal.dropoff_frame.header.seq, _x.goal.dropoff_frame.header.stamp.secs, _x.goal.dropoff_frame.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.dropoff_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.goal.dropoff_frame.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.goal.dropoff_frame.pose.position.x, _x.goal.dropoff_frame.pose.position.y, _x.goal.dropoff_frame.pose.position.z, _x.goal.dropoff_frame.pose.orientation.x, _x.goal.dropoff_frame.pose.orientation.y, _x.goal.dropoff_frame.pose.orientation.z, _x.goal.dropoff_frame.pose.orientation.w, _x.goal.gripper_goal_frame.header.seq, _x.goal.gripper_goal_frame.header.stamp.secs, _x.goal.gripper_goal_frame.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.gripper_goal_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.goal.gripper_goal_frame.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 60\n (_x.goal.gripper_goal_frame.pose.position.x, _x.goal.gripper_goal_frame.pose.position.y, _x.goal.gripper_goal_frame.pose.position.z, _x.goal.gripper_goal_frame.pose.orientation.x, _x.goal.gripper_goal_frame.pose.orientation.y, _x.goal.gripper_goal_frame.pose.orientation.z, _x.goal.gripper_goal_frame.pose.orientation.w, _x.goal.perception_source,) = _get_struct_7di().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def _from_string(cls, serialized):\r\n parse = cls.parse_url(serialized)\r\n\r\n if parse['version_guid']:\r\n parse['version_guid'] = cls.as_object_id(parse['version_guid'])\r\n\r\n return cls(**{key: parse.get(key) for key in cls.KEY_FIELDS})","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.pan is None:\n self.pan = movo_msgs.msg.PanTiltActuatorFdbk()\n if self.tilt is None:\n self.tilt = movo_msgs.msg.PanTiltActuatorFdbk()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.pan.header.seq, _x.pan.header.stamp.secs, _x.pan.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.pan.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.pan.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 64\n (_x.pan.current, _x.pan.pos_rad, _x.pan.vel_rps, _x.pan.torque_nm, _x.pan.pwm, _x.pan.encoder_rad, _x.pan.accel.x, _x.pan.accel.y, _x.pan.accel.z, _x.pan.temperature_degC, _x.tilt.header.seq, _x.tilt.header.stamp.secs, _x.tilt.header.stamp.nsecs,) = _struct_6f3df3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.tilt.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.tilt.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 52\n (_x.tilt.current, _x.tilt.pos_rad, _x.tilt.vel_rps, _x.tilt.torque_nm, _x.tilt.pwm, _x.tilt.encoder_rad, _x.tilt.accel.x, _x.tilt.accel.y, _x.tilt.accel.z, _x.tilt.temperature_degC,) = _struct_6f3df.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n start = end\n end += 4\n (self.yaw,) = _struct_f.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def decode(self, s):","def decode(self, s):","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.Hlines is None:\n self.Hlines = None\n if self.Vlines is None:\n self.Vlines = None\n if self.regions is None:\n self.regions = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 4\n (_x.image_width, _x.image_height,) = _get_struct_2H().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.Hlines = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Point()\n _x = val1\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.Hlines.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.Vlines = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Point()\n _x = val1\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.Vlines.append(val1)\n start = end\n end += 2\n (self.PFPS,) = _get_struct_H().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.regions = []\n for i in range(0, length):\n val1 = cooperative_driving_vision.msg.Region()\n _v3 = val1.color\n _x = _v3\n start = end\n end += 16\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\n _v4 = val1.moment\n _x = _v4\n start = end\n end += 40\n (_x.m00, _x.m10, _x.m01, _x.m11, _x.m20, _x.m02, _x.m21, _x.m12, _x.m30, _x.m03,) = _get_struct_10f().unpack(str[start:end])\n self.regions.append(val1)\n _x = self\n start = end\n end += 4\n (_x.box_width, _x.box_height,) = _get_struct_2H().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.c0 is None:\n self.c0 = bh_motion.msg.Vector3()\n if self.c1 is None:\n self.c1 = bh_motion.msg.Vector3()\n if self.c2 is None:\n self.c2 = bh_motion.msg.Vector3()\n end = 0\n _x = self\n start = end\n end += 36\n (_x.c0.x, _x.c0.y, _x.c0.z, _x.c1.x, _x.c1.y, _x.c1.z, _x.c2.x, _x.c2.y, _x.c2.z,) = _struct_9f.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.des_gripper_pose is None:\n self.des_gripper_pose = geometry_msgs.msg.PoseStamped()\n if self.object_pose is None:\n self.object_pose = geometry_msgs.msg.PoseStamped()\n end = 0\n _x = self\n start = end\n end += 20\n (_x.manip_return_code, _x.object_grabber_return_code, _x.des_gripper_pose.header.seq, _x.des_gripper_pose.header.stamp.secs, _x.des_gripper_pose.header.stamp.nsecs,) = _get_struct_2i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.des_gripper_pose.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.des_gripper_pose.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 72\n (_x.des_gripper_pose.pose.position.x, _x.des_gripper_pose.pose.position.y, _x.des_gripper_pose.pose.position.z, _x.des_gripper_pose.pose.orientation.x, _x.des_gripper_pose.pose.orientation.y, _x.des_gripper_pose.pose.orientation.z, _x.des_gripper_pose.pose.orientation.w, _x.object_finder_return_code, _x.object_pose.header.seq, _x.object_pose.header.stamp.secs, _x.object_pose.header.stamp.nsecs,) = _get_struct_7di3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.object_pose.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.object_pose.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 56\n (_x.object_pose.pose.position.x, _x.object_pose.pose.position.y, _x.object_pose.pose.position.z, _x.object_pose.pose.orientation.x, _x.object_pose.pose.orientation.y, _x.object_pose.pose.orientation.z, _x.object_pose.pose.orientation.w,) = _get_struct_7d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.obstacleinfo is None:\n self.obstacleinfo = nubot_common.msg.ObstaclesInfo()\n if self.oppinfo is None:\n self.oppinfo = nubot_common.msg.ObstaclesInfo()\n if self.robotinfo is None:\n self.robotinfo = None\n if self.ballinfo is None:\n self.ballinfo = None\n if self.coachinfo is None:\n self.coachinfo = nubot_common.msg.CoachInfo()\n if self.pass_cmd is None:\n self.pass_cmd = nubot_common.msg.PassCommands()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.obstacleinfo.header.seq, _x.obstacleinfo.header.stamp.secs, _x.obstacleinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.obstacleinfo.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.obstacleinfo.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.obstacleinfo.pos = []\n for i in range(0, length):\n val1 = nubot_common.msg.Point2d()\n _x = val1\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n self.obstacleinfo.pos.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.obstacleinfo.polar_pos = []\n for i in range(0, length):\n val1 = nubot_common.msg.PPoint()\n _x = val1\n start = end\n end += 8\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\n self.obstacleinfo.polar_pos.append(val1)\n _x = self\n start = end\n end += 12\n (_x.oppinfo.header.seq, _x.oppinfo.header.stamp.secs, _x.oppinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.oppinfo.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.oppinfo.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.oppinfo.pos = []\n for i in range(0, length):\n val1 = nubot_common.msg.Point2d()\n _x = val1\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n self.oppinfo.pos.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.oppinfo.polar_pos = []\n for i in range(0, length):\n val1 = nubot_common.msg.PPoint()\n _x = val1\n start = end\n end += 8\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\n self.oppinfo.polar_pos.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.robotinfo = []\n for i in range(0, length):\n val1 = nubot_common.msg.RobotInfo()\n _v12 = val1.header\n start = end\n end += 4\n (_v12.seq,) = _get_struct_I().unpack(str[start:end])\n _v13 = _v12.stamp\n _x = _v13\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v12.frame_id = str[start:end].decode('utf-8')\n else:\n _v12.frame_id = str[start:end]\n _x = val1\n start = end\n end += 28\n (_x.AgentID, _x.targetNum1, _x.targetNum2, _x.targetNum3, _x.targetNum4, _x.staticpassNum, _x.staticcatchNum,) = _get_struct_7i().unpack(str[start:end])\n _v14 = val1.pos\n _x = _v14\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n _v15 = val1.heading\n start = end\n end += 4\n (_v15.theta,) = _get_struct_f().unpack(str[start:end])\n start = end\n end += 4\n (val1.vrot,) = _get_struct_f().unpack(str[start:end])\n _v16 = val1.vtrans\n _x = _v16\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n _x = val1\n start = end\n end += 9\n (_x.iskick, _x.isvalid, _x.isstuck, _x.isdribble, _x.current_role, _x.role_time,) = _get_struct_5Bf().unpack(str[start:end])\n val1.iskick = bool(val1.iskick)\n val1.isvalid = bool(val1.isvalid)\n val1.isstuck = bool(val1.isstuck)\n val1.isdribble = bool(val1.isdribble)\n _v17 = val1.target\n _x = _v17\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n self.robotinfo.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.ballinfo = []\n for i in range(0, length):\n val1 = nubot_common.msg.BallInfo()\n _v18 = val1.header\n start = end\n end += 4\n (_v18.seq,) = _get_struct_I().unpack(str[start:end])\n _v19 = _v18.stamp\n _x = _v19\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v18.frame_id = str[start:end].decode('utf-8')\n else:\n _v18.frame_id = str[start:end]\n start = end\n end += 4\n (val1.ballinfostate,) = _get_struct_i().unpack(str[start:end])\n _v20 = val1.pos\n _x = _v20\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n _v21 = val1.real_pos\n _x = _v21\n start = end\n end += 8\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\n _v22 = val1.velocity\n _x = _v22\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n _x = val1\n start = end\n end += 2\n (_x.pos_known, _x.velocity_known,) = _get_struct_2B().unpack(str[start:end])\n val1.pos_known = bool(val1.pos_known)\n val1.velocity_known = bool(val1.velocity_known)\n self.ballinfo.append(val1)\n _x = self\n start = end\n end += 12\n (_x.coachinfo.header.seq, _x.coachinfo.header.stamp.secs, _x.coachinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.coachinfo.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.coachinfo.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 54\n (_x.coachinfo.MatchMode, _x.coachinfo.MatchType, _x.coachinfo.TestMode, _x.coachinfo.pointA.x, _x.coachinfo.pointA.y, _x.coachinfo.pointB.x, _x.coachinfo.pointB.y, _x.coachinfo.angleA, _x.coachinfo.angleB, _x.coachinfo.idA, _x.coachinfo.idB, _x.coachinfo.kickforce, _x.pass_cmd.pass_id, _x.pass_cmd.catch_id, _x.pass_cmd.pass_pt.x, _x.pass_cmd.pass_pt.y, _x.pass_cmd.catch_pt.x, _x.pass_cmd.catch_pt.y, _x.pass_cmd.is_passout, _x.pass_cmd.is_dynamic_pass, _x.pass_cmd.is_static_pass, _x.pass_cmd.is_valid,) = _get_struct_3B4f2h3B2I4f4B().unpack(str[start:end])\n self.pass_cmd.is_passout = bool(self.pass_cmd.is_passout)\n self.pass_cmd.is_dynamic_pass = bool(self.pass_cmd.is_dynamic_pass)\n self.pass_cmd.is_static_pass = bool(self.pass_cmd.is_static_pass)\n self.pass_cmd.is_valid = bool(self.pass_cmd.is_valid)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def unpack(msg_bytes):\n canid, dlc, data = struct.unpack(CANMessage.msg_fmt, msg_bytes)\n msg = CANMessage(canid, data, dlc)\n return msg","def deserialize(self, str):\n try:\n end = 0\n start = end\n end += 24\n self.thumb = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.index = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.middle = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.ring = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 24\n self.little = _get_struct_3d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def _decode_str(self, buf):\n length = self._decode_vint(buf)\n result = buf.read(length)\n if len(result) != length:\n raise EndOfMessage(True)\n return result","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 44\n (_x.date, _x.time, _x.longitude_RTK, _x.latitude_RTK, _x.height_above_sea_RTK, _x.velocity_north, _x.velocity_east, _x.velocity_ground, _x.yaw, _x.position_flag, _x.yaw_flag,) = _struct_2I2d4fh2B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n start = end\n end += 4\n (self.numberOfTSPTurtles,) = _get_struct_i().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def _to_jsonrpc_obj(self, jsonrpcstr):\n return jsonrpc.JsonRpcData.parse(jsonrpcstr)","def deserialize(self, str):\n try:\n if self.base is None:\n self.base = rwrc12_msgs.msg.CellBase()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.base.header.seq, _x.base.header.stamp.secs, _x.base.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.base.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.base.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 20\n (_x.base.cell_width, _x.base.cell_height, _x.base.position.x, _x.base.position.y, _x.base.position.z,) = _struct_5f.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.base.points = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Point32()\n _x = val1\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\n self.base.points.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.base.intensity = struct.unpack(pattern, str[start:end])\n start = end\n end += 1\n (self.base.cost,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.base.label = str[start:end].decode('utf-8')\n else:\n self.base.label = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.mean_height, _x.mean_intensity,) = _struct_2f.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def loads(msg, encoding=None, raw=False):\n try:\n\n def ext_type_decoder(code, data):\n if code == 78:\n data = salt.utils.stringutils.to_unicode(data)\n return datetime.datetime.strptime(data, \"%Y%m%dT%H:%M:%S.%f\")\n if code == 79:\n name, value = salt.utils.msgpack.loads(data, raw=False)\n return _Constant(name, value)\n return data\n\n gc.disable() # performance optimization for msgpack\n loads_kwargs = {\"use_list\": True, \"ext_hook\": ext_type_decoder}\n if salt.utils.msgpack.version >= (0, 4, 0):\n # msgpack only supports 'encoding' starting in 0.4.0.\n # Due to this, if we don't need it, don't pass it at all so\n # that under Python 2 we can still work with older versions\n # of msgpack.\n if salt.utils.msgpack.version >= (0, 5, 2):\n if encoding is None:\n loads_kwargs[\"raw\"] = True\n else:\n loads_kwargs[\"raw\"] = False\n else:\n loads_kwargs[\"encoding\"] = encoding\n try:\n ret = salt.utils.msgpack.unpackb(msg, **loads_kwargs)\n except UnicodeDecodeError:\n # msg contains binary data\n loads_kwargs.pop(\"raw\", None)\n loads_kwargs.pop(\"encoding\", None)\n ret = salt.utils.msgpack.loads(msg, **loads_kwargs)\n else:\n ret = salt.utils.msgpack.loads(msg, **loads_kwargs)\n if encoding is None and not raw:\n ret = salt.transport.frame.decode_embedded_strs(ret)\n except Exception as exc: # pylint: disable=broad-except\n log.critical(\n \"Could not deserialize msgpack message. This often happens \"\n \"when trying to read a file not in binary mode. \"\n \"To see message payload, enable debug logging and retry. \"\n \"Exception: %s\",\n exc,\n )\n log.debug(\"Msgpack deserialization failure on message: %s\", msg)\n exc_msg = \"Could not deserialize msgpack message. See log for more info.\"\n raise SaltDeserializationError(exc_msg) from exc\n finally:\n gc.enable()\n return ret","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 152\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _struct_2d2q14dq.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.msg = str[start:end].decode('utf-8')\n else:\n self.msg = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.robot_id is None:\n self.robot_id = opil_v2.msg.Id()\n if self.agv_msg is None:\n self.agv_msg = opil_v2.msg.RobotDescriptionAGV()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.robot_id.id,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.robot_id.description = str[start:end].decode('utf-8')\n else:\n self.robot_id.description = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.agv_msg.header.seq, _x.agv_msg.header.stamp.secs, _x.agv_msg.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.agv_msg.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.agv_msg.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.agv_msg.vehicle_id.id,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.agv_msg.vehicle_id.description = str[start:end].decode('utf-8')\n else:\n self.agv_msg.vehicle_id.description = str[start:end]\n _x = self\n start = end\n end += 84\n (_x.agv_msg.left_size, _x.agv_msg.right_size, _x.agv_msg.front_size, _x.agv_msg.rear_size, _x.agv_msg.min_height, _x.agv_msg.max_height, _x.agv_msg.payload, _x.agv_msg.max_pos_x_vel, _x.agv_msg.max_neg_x_vel, _x.agv_msg.max_pos_x_acc, _x.agv_msg.max_neg_x_acc, _x.agv_msg.max_pos_y_vel, _x.agv_msg.max_neg_y_vel, _x.agv_msg.max_pos_y_acc, _x.agv_msg.max_neg_y_acc, _x.agv_msg.max_pos_ang_vel, _x.agv_msg.max_neg_ang_vel, _x.agv_msg.velocity_control_sensitivity, _x.agv_msg.min_turning_radius, _x.agv_msg.batt_capacity, _x.agv_msg.batt_max_voltage,) = _get_struct_21f().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.agv_msg.vehicle_type = str[start:end].decode('utf-8')\n else:\n self.agv_msg.vehicle_type = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.agv_msg.vendor = str[start:end].decode('utf-8')\n else:\n self.agv_msg.vendor = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.agv_msg.action_capability = []\n for i in range(0, length):\n val1 = opil_v2.msg.RobotAction()\n _x = val1\n start = end\n end += 2\n (_x.category, _x.action,) = _get_struct_2B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.attributes = []\n for i in range(0, length):\n val2 = opil_v2.msg.Tuple()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.type = str[start:end].decode('utf-8')\n else:\n val2.type = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.value = str[start:end].decode('utf-8')\n else:\n val2.value = str[start:end]\n val1.attributes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.description = str[start:end].decode('utf-8')\n else:\n val1.description = str[start:end]\n self.agv_msg.action_capability.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.p1 is None:\n self.p1 = geometry_msgs.msg.PointStamped()\n if self.p2 is None:\n self.p2 = geometry_msgs.msg.PointStamped()\n if self.p3 is None:\n self.p3 = geometry_msgs.msg.PointStamped()\n if self.p4 is None:\n self.p4 = geometry_msgs.msg.PointStamped()\n end = 0\n _x = self\n start = end\n end += 16\n (_x.s1, _x.s2, _x.s3, _x.s4, _x.p1.header.seq, _x.p1.header.stamp.secs, _x.p1.header.stamp.nsecs,) = _struct_4B3I.unpack(str[start:end])\n self.s1 = bool(self.s1)\n self.s2 = bool(self.s2)\n self.s3 = bool(self.s3)\n self.s4 = bool(self.s4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.p1.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.p1.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 36\n (_x.p1.point.x, _x.p1.point.y, _x.p1.point.z, _x.p2.header.seq, _x.p2.header.stamp.secs, _x.p2.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.p2.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.p2.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 36\n (_x.p2.point.x, _x.p2.point.y, _x.p2.point.z, _x.p3.header.seq, _x.p3.header.stamp.secs, _x.p3.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.p3.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.p3.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 36\n (_x.p3.point.x, _x.p3.point.y, _x.p3.point.z, _x.p4.header.seq, _x.p4.header.stamp.secs, _x.p4.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.p4.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.p4.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 24\n (_x.p4.point.x, _x.p4.point.y, _x.p4.point.z,) = _struct_3d.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, message):\n # Removes the random prefix\n message = message[12:]\n message = message.decode(\"utf-8\")\n\n if self.crypter:\n message = self.crypter.decrypt(message, self.expiry + 10)\n return json.loads(message)","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.polygons is None:\n self.polygons = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.polygons = []\n for i in range(0, length):\n val1 = cob_3d_mapping_msgs.msg.CurvedPolygon()\n _v2 = val1.stamp\n _x = _v2\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (val1.ID,) = _struct_I.unpack(str[start:end])\n start = end\n end += 24\n val1.parameter = _struct_6f.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.score = []\n for i in range(0, length):\n val2 = cob_3d_mapping_msgs.msg.SimilarityScore()\n _x = val2\n start = end\n end += 8\n (_x.ID, _x.prob,) = _struct_If.unpack(str[start:end])\n val1.score.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.polyline = []\n for i in range(0, length):\n val2 = cob_3d_mapping_msgs.msg.PolylinePoint()\n _x = val2\n start = end\n end += 12\n (_x.x, _x.y, _x.edge_prob,) = _struct_3f.unpack(str[start:end])\n val1.polyline.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.features = []\n for i in range(0, length):\n val2 = cob_3d_mapping_msgs.msg.Feature()\n _x = val2\n start = end\n end += 16\n (_x.x, _x.y, _x.z, _x.ID,) = _struct_3fI.unpack(str[start:end])\n val1.features.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.energy = str[start:end].decode('utf-8')\n else:\n val1.energy = str[start:end]\n start = end\n end += 4\n (val1.weight,) = _struct_f.unpack(str[start:end])\n self.polygons.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 142\n (_x.Timestamp_sec, _x.Timestamp_nsec, _x.Roll, _x.Pitch, _x.Yaw, _x.Wx, _x.Wy, _x.Wz, _x.AcelX, _x.AcelY, _x.AcelZ, _x.VelN, _x.VelE, _x.VelZ, _x.GPSLong, _x.GPSLat, _x.GPSAlt, _x.Temp, _x.IMUTime, _x.BITStatus,) = _get_struct_2i16dih().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n start = end\n end += 8\n (self.time,) = _get_struct_d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.q_target = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.qd_target = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.qdd_target = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.i_target = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.m_target = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.q_actual = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.qd_actual = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.i_actual = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tool_acc_values = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tcp_force = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tool_vector = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tcp_speed = struct.unpack(pattern, str[start:end])\n start = end\n end += 8\n (self.digital_input_bits,) = _get_struct_d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_temperatures = struct.unpack(pattern, str[start:end])\n _x = self\n start = end\n end += 24\n (_x.controller_timer, _x.test_value, _x.robot_mode,) = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.joint_modes = struct.unpack(pattern, str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 72\n (_x.health, _x.utcA0, _x.utcA1, _x.utcTOW, _x.utcWNT, _x.utcLS, _x.utcWNF, _x.utcDN, _x.utcLSF, _x.utcSpare, _x.klobA0, _x.klobA1, _x.klobA2, _x.klobA3, _x.klobB0, _x.klobB1, _x.klobB2, _x.klobB3, _x.flags,) = _get_struct_I2di6h8fI().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, payload: str) -> object:\n raise NotImplementedError()","def deserialize(self, str):\n try:\n if self.accelerometer is None:\n self.accelerometer = None\n if self.gyro is None:\n self.gyro = None\n if self.orientation is None:\n self.orientation = None\n if self.led_color is None:\n self.led_color = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.name.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.position = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.velocity = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.effort = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.position_command = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.velocity_command = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.effort_command = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.accelerometer = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Vector3()\n _x = val1\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.accelerometer.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.gyro = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Vector3()\n _x = val1\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.gyro.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.orientation = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Quaternion()\n _x = val1\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n self.orientation.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.deflection = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.deflection_velocity = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_velocity = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_current = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_winding_current = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_sensor_temperature = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_winding_temperature = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_housing_temperature = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.board_temperature = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.processor_temperature = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.voltage = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.led_color = []\n for i in range(0, length):\n val1 = std_msgs.msg.ColorRGBA()\n _x = val1\n start = end\n end += 16\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\n self.led_color.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.sequence_number = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.receive_time = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.transmit_time = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.hardware_receive_time = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.hardware_transmit_time = struct.unpack(pattern, str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.goal_id is None:\n self.goal_id = actionlib_msgs.msg.GoalID()\n if self.goal is None:\n self.goal = moveit_msgs.msg.MoveGroupGoal()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal_id.id = str[start:end].decode('utf-8')\n else:\n self.goal_id.id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.goal.request.workspace_parameters.header.seq, _x.goal.request.workspace_parameters.header.stamp.secs, _x.goal.request.workspace_parameters.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.workspace_parameters.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.request.workspace_parameters.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 60\n (_x.goal.request.workspace_parameters.min_corner.x, _x.goal.request.workspace_parameters.min_corner.y, _x.goal.request.workspace_parameters.min_corner.z, _x.goal.request.workspace_parameters.max_corner.x, _x.goal.request.workspace_parameters.max_corner.y, _x.goal.request.workspace_parameters.max_corner.z, _x.goal.request.start_state.joint_state.header.seq, _x.goal.request.start_state.joint_state.header.stamp.secs, _x.goal.request.start_state.joint_state.header.stamp.nsecs,) = _get_struct_6d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.start_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.request.start_state.joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.joint_state.name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.request.start_state.joint_state.name.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.request.start_state.joint_state.position = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.request.start_state.joint_state.velocity = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.request.start_state.joint_state.effort = struct.unpack(pattern, str[start:end])\n _x = self\n start = end\n end += 12\n (_x.goal.request.start_state.multi_dof_joint_state.header.seq, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.secs, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.start_state.multi_dof_joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.request.start_state.multi_dof_joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.request.start_state.multi_dof_joint_state.joint_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.transforms = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Transform()\n _v149 = val1.translation\n _x = _v149\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v150 = val1.rotation\n _x = _v150\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.transforms.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.twist = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Twist()\n _v151 = val1.linear\n _x = _v151\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v152 = val1.angular\n _x = _v152\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.twist.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.wrench = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Wrench()\n _v153 = val1.force\n _x = _v153\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v154 = val1.torque\n _x = _v154\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.wrench.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.attached_collision_objects = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.AttachedCollisionObject()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _v155 = val1.object\n _v156 = _v155.header\n start = end\n end += 4\n (_v156.seq,) = _get_struct_I().unpack(str[start:end])\n _v157 = _v156.stamp\n _x = _v157\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v156.frame_id = str[start:end].decode('utf-8')\n else:\n _v156.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v155.id = str[start:end].decode('utf-8')\n else:\n _v155.id = str[start:end]\n _v158 = _v155.type\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v158.key = str[start:end].decode('utf-8')\n else:\n _v158.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v158.db = str[start:end].decode('utf-8')\n else:\n _v158.db = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v155.primitives = []\n for i in range(0, length):\n val3 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val3.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.dimensions = struct.unpack(pattern, str[start:end])\n _v155.primitives.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v155.primitive_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v159 = val3.position\n _x = _v159\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v160 = val3.orientation\n _x = _v160\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v155.primitive_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v155.meshes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.triangles = []\n for i in range(0, length):\n val4 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val4.vertex_indices = _get_struct_3I().unpack(str[start:end])\n val3.triangles.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.vertices = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Point()\n _x = val4\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val3.vertices.append(val4)\n _v155.meshes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v155.mesh_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v161 = val3.position\n _x = _v161\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v162 = val3.orientation\n _x = _v162\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v155.mesh_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v155.planes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Plane()\n start = end\n end += 32\n val3.coef = _get_struct_4d().unpack(str[start:end])\n _v155.planes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v155.plane_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v163 = val3.position\n _x = _v163\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v164 = val3.orientation\n _x = _v164\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v155.plane_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v155.subframe_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n _v155.subframe_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v155.subframe_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v165 = val3.position\n _x = _v165\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v166 = val3.orientation\n _x = _v166\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v155.subframe_poses.append(val3)\n start = end\n end += 1\n (_v155.operation,) = _get_struct_b().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.touch_links = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.touch_links.append(val2)\n _v167 = val1.detach_posture\n _v168 = _v167.header\n start = end\n end += 4\n (_v168.seq,) = _get_struct_I().unpack(str[start:end])\n _v169 = _v168.stamp\n _x = _v169\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v168.frame_id = str[start:end].decode('utf-8')\n else:\n _v168.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v167.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n _v167.joint_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v167.points = []\n for i in range(0, length):\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.positions = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.velocities = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.accelerations = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.effort = struct.unpack(pattern, str[start:end])\n _v170 = val3.time_from_start\n _x = _v170\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\n _v167.points.append(val3)\n start = end\n end += 8\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\n self.goal.request.start_state.attached_collision_objects.append(val1)\n start = end\n end += 1\n (self.goal.request.start_state.is_diff,) = _get_struct_B().unpack(str[start:end])\n self.goal.request.start_state.is_diff = bool(self.goal.request.start_state.is_diff)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.goal_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.Constraints()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.joint_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.JointConstraint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.joint_name = str[start:end].decode('utf-8')\n else:\n val2.joint_name = str[start:end]\n _x = val2\n start = end\n end += 32\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n val1.joint_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.position_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.PositionConstraint()\n _v171 = val2.header\n start = end\n end += 4\n (_v171.seq,) = _get_struct_I().unpack(str[start:end])\n _v172 = _v171.stamp\n _x = _v172\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v171.frame_id = str[start:end].decode('utf-8')\n else:\n _v171.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.link_name = str[start:end].decode('utf-8')\n else:\n val2.link_name = str[start:end]\n _v173 = val2.target_point_offset\n _x = _v173\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v174 = val2.constraint_region\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v174.primitives = []\n for i in range(0, length):\n val4 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val4.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val4.dimensions = struct.unpack(pattern, str[start:end])\n _v174.primitives.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v174.primitive_poses = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Pose()\n _v175 = val4.position\n _x = _v175\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v176 = val4.orientation\n _x = _v176\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v174.primitive_poses.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v174.meshes = []\n for i in range(0, length):\n val4 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val4.triangles = []\n for i in range(0, length):\n val5 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val5.vertex_indices = _get_struct_3I().unpack(str[start:end])\n val4.triangles.append(val5)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val4.vertices = []\n for i in range(0, length):\n val5 = geometry_msgs.msg.Point()\n _x = val5\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val4.vertices.append(val5)\n _v174.meshes.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v174.mesh_poses = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Pose()\n _v177 = val4.position\n _x = _v177\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v178 = val4.orientation\n _x = _v178\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v174.mesh_poses.append(val4)\n start = end\n end += 8\n (val2.weight,) = _get_struct_d().unpack(str[start:end])\n val1.position_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.orientation_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.OrientationConstraint()\n _v179 = val2.header\n start = end\n end += 4\n (_v179.seq,) = _get_struct_I().unpack(str[start:end])\n _v180 = _v179.stamp\n _x = _v180\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v179.frame_id = str[start:end].decode('utf-8')\n else:\n _v179.frame_id = str[start:end]\n _v181 = val2.orientation\n _x = _v181\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.link_name = str[start:end].decode('utf-8')\n else:\n val2.link_name = str[start:end]\n _x = val2\n start = end\n end += 32\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n val1.orientation_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.visibility_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.VisibilityConstraint()\n start = end\n end += 8\n (val2.target_radius,) = _get_struct_d().unpack(str[start:end])\n _v182 = val2.target_pose\n _v183 = _v182.header\n start = end\n end += 4\n (_v183.seq,) = _get_struct_I().unpack(str[start:end])\n _v184 = _v183.stamp\n _x = _v184\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v183.frame_id = str[start:end].decode('utf-8')\n else:\n _v183.frame_id = str[start:end]\n _v185 = _v182.pose\n _v186 = _v185.position\n _x = _v186\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v187 = _v185.orientation\n _x = _v187\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (val2.cone_sides,) = _get_struct_i().unpack(str[start:end])\n _v188 = val2.sensor_pose\n _v189 = _v188.header\n start = end\n end += 4\n (_v189.seq,) = _get_struct_I().unpack(str[start:end])\n _v190 = _v189.stamp\n _x = _v190\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v189.frame_id = str[start:end].decode('utf-8')\n else:\n _v189.frame_id = str[start:end]\n _v191 = _v188.pose\n _v192 = _v191.position\n _x = _v192\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v193 = _v191.orientation\n _x = _v193\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _x = val2\n start = end\n end += 25\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\n val1.visibility_constraints.append(val2)\n self.goal.request.goal_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.path_constraints.name = str[start:end].decode('utf-8')\n else:\n self.goal.request.path_constraints.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.path_constraints.joint_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.JointConstraint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.joint_name = str[start:end].decode('utf-8')\n else:\n val1.joint_name = str[start:end]\n _x = val1\n start = end\n end += 32\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n self.goal.request.path_constraints.joint_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.path_constraints.position_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.PositionConstraint()\n _v194 = val1.header\n start = end\n end += 4\n (_v194.seq,) = _get_struct_I().unpack(str[start:end])\n _v195 = _v194.stamp\n _x = _v195\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v194.frame_id = str[start:end].decode('utf-8')\n else:\n _v194.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _v196 = val1.target_point_offset\n _x = _v196\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v197 = val1.constraint_region\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v197.primitives = []\n for i in range(0, length):\n val3 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val3.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.dimensions = struct.unpack(pattern, str[start:end])\n _v197.primitives.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v197.primitive_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v198 = val3.position\n _x = _v198\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v199 = val3.orientation\n _x = _v199\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v197.primitive_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v197.meshes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.triangles = []\n for i in range(0, length):\n val4 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val4.vertex_indices = _get_struct_3I().unpack(str[start:end])\n val3.triangles.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.vertices = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Point()\n _x = val4\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val3.vertices.append(val4)\n _v197.meshes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v197.mesh_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v200 = val3.position\n _x = _v200\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v201 = val3.orientation\n _x = _v201\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v197.mesh_poses.append(val3)\n start = end\n end += 8\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\n self.goal.request.path_constraints.position_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.path_constraints.orientation_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.OrientationConstraint()\n _v202 = val1.header\n start = end\n end += 4\n (_v202.seq,) = _get_struct_I().unpack(str[start:end])\n _v203 = _v202.stamp\n _x = _v203\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v202.frame_id = str[start:end].decode('utf-8')\n else:\n _v202.frame_id = str[start:end]\n _v204 = val1.orientation\n _x = _v204\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _x = val1\n start = end\n end += 32\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n self.goal.request.path_constraints.orientation_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.path_constraints.visibility_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.VisibilityConstraint()\n start = end\n end += 8\n (val1.target_radius,) = _get_struct_d().unpack(str[start:end])\n _v205 = val1.target_pose\n _v206 = _v205.header\n start = end\n end += 4\n (_v206.seq,) = _get_struct_I().unpack(str[start:end])\n _v207 = _v206.stamp\n _x = _v207\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v206.frame_id = str[start:end].decode('utf-8')\n else:\n _v206.frame_id = str[start:end]\n _v208 = _v205.pose\n _v209 = _v208.position\n _x = _v209\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v210 = _v208.orientation\n _x = _v210\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (val1.cone_sides,) = _get_struct_i().unpack(str[start:end])\n _v211 = val1.sensor_pose\n _v212 = _v211.header\n start = end\n end += 4\n (_v212.seq,) = _get_struct_I().unpack(str[start:end])\n _v213 = _v212.stamp\n _x = _v213\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v212.frame_id = str[start:end].decode('utf-8')\n else:\n _v212.frame_id = str[start:end]\n _v214 = _v211.pose\n _v215 = _v214.position\n _x = _v215\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v216 = _v214.orientation\n _x = _v216\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _x = val1\n start = end\n end += 25\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\n self.goal.request.path_constraints.visibility_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.trajectory_constraints.constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.Constraints()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.joint_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.JointConstraint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.joint_name = str[start:end].decode('utf-8')\n else:\n val2.joint_name = str[start:end]\n _x = val2\n start = end\n end += 32\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n val1.joint_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.position_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.PositionConstraint()\n _v217 = val2.header\n start = end\n end += 4\n (_v217.seq,) = _get_struct_I().unpack(str[start:end])\n _v218 = _v217.stamp\n _x = _v218\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v217.frame_id = str[start:end].decode('utf-8')\n else:\n _v217.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.link_name = str[start:end].decode('utf-8')\n else:\n val2.link_name = str[start:end]\n _v219 = val2.target_point_offset\n _x = _v219\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v220 = val2.constraint_region\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v220.primitives = []\n for i in range(0, length):\n val4 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val4.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val4.dimensions = struct.unpack(pattern, str[start:end])\n _v220.primitives.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v220.primitive_poses = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Pose()\n _v221 = val4.position\n _x = _v221\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v222 = val4.orientation\n _x = _v222\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v220.primitive_poses.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v220.meshes = []\n for i in range(0, length):\n val4 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val4.triangles = []\n for i in range(0, length):\n val5 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val5.vertex_indices = _get_struct_3I().unpack(str[start:end])\n val4.triangles.append(val5)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val4.vertices = []\n for i in range(0, length):\n val5 = geometry_msgs.msg.Point()\n _x = val5\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val4.vertices.append(val5)\n _v220.meshes.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v220.mesh_poses = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Pose()\n _v223 = val4.position\n _x = _v223\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v224 = val4.orientation\n _x = _v224\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v220.mesh_poses.append(val4)\n start = end\n end += 8\n (val2.weight,) = _get_struct_d().unpack(str[start:end])\n val1.position_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.orientation_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.OrientationConstraint()\n _v225 = val2.header\n start = end\n end += 4\n (_v225.seq,) = _get_struct_I().unpack(str[start:end])\n _v226 = _v225.stamp\n _x = _v226\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v225.frame_id = str[start:end].decode('utf-8')\n else:\n _v225.frame_id = str[start:end]\n _v227 = val2.orientation\n _x = _v227\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.link_name = str[start:end].decode('utf-8')\n else:\n val2.link_name = str[start:end]\n _x = val2\n start = end\n end += 32\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n val1.orientation_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.visibility_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.VisibilityConstraint()\n start = end\n end += 8\n (val2.target_radius,) = _get_struct_d().unpack(str[start:end])\n _v228 = val2.target_pose\n _v229 = _v228.header\n start = end\n end += 4\n (_v229.seq,) = _get_struct_I().unpack(str[start:end])\n _v230 = _v229.stamp\n _x = _v230\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v229.frame_id = str[start:end].decode('utf-8')\n else:\n _v229.frame_id = str[start:end]\n _v231 = _v228.pose\n _v232 = _v231.position\n _x = _v232\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v233 = _v231.orientation\n _x = _v233\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (val2.cone_sides,) = _get_struct_i().unpack(str[start:end])\n _v234 = val2.sensor_pose\n _v235 = _v234.header\n start = end\n end += 4\n (_v235.seq,) = _get_struct_I().unpack(str[start:end])\n _v236 = _v235.stamp\n _x = _v236\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v235.frame_id = str[start:end].decode('utf-8')\n else:\n _v235.frame_id = str[start:end]\n _v237 = _v234.pose\n _v238 = _v237.position\n _x = _v238\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v239 = _v237.orientation\n _x = _v239\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _x = val2\n start = end\n end += 25\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\n val1.visibility_constraints.append(val2)\n self.goal.request.trajectory_constraints.constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.reference_trajectories = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.GenericTrajectory()\n _v240 = val1.header\n start = end\n end += 4\n (_v240.seq,) = _get_struct_I().unpack(str[start:end])\n _v241 = _v240.stamp\n _x = _v241\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v240.frame_id = str[start:end].decode('utf-8')\n else:\n _v240.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.joint_trajectory = []\n for i in range(0, length):\n val2 = trajectory_msgs.msg.JointTrajectory()\n _v242 = val2.header\n start = end\n end += 4\n (_v242.seq,) = _get_struct_I().unpack(str[start:end])\n _v243 = _v242.stamp\n _x = _v243\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v242.frame_id = str[start:end].decode('utf-8')\n else:\n _v242.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.joint_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.points = []\n for i in range(0, length):\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.positions = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.velocities = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.accelerations = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.effort = struct.unpack(pattern, str[start:end])\n _v244 = val3.time_from_start\n _x = _v244\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\n val2.points.append(val3)\n val1.joint_trajectory.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.cartesian_trajectory = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.CartesianTrajectory()\n _v245 = val2.header\n start = end\n end += 4\n (_v245.seq,) = _get_struct_I().unpack(str[start:end])\n _v246 = _v245.stamp\n _x = _v246\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v245.frame_id = str[start:end].decode('utf-8')\n else:\n _v245.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.tracked_frame = str[start:end].decode('utf-8')\n else:\n val2.tracked_frame = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.points = []\n for i in range(0, length):\n val3 = moveit_msgs.msg.CartesianTrajectoryPoint()\n _v247 = val3.point\n _v248 = _v247.pose\n _v249 = _v248.position\n _x = _v249\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v250 = _v248.orientation\n _x = _v250\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v251 = _v247.velocity\n _v252 = _v251.linear\n _x = _v252\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v253 = _v251.angular\n _x = _v253\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v254 = _v247.acceleration\n _v255 = _v254.linear\n _x = _v255\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v256 = _v254.angular\n _x = _v256\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v257 = val3.time_from_start\n _x = _v257\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\n val2.points.append(val3)\n val1.cartesian_trajectory.append(val2)\n self.goal.request.reference_trajectories.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.planner_id = str[start:end].decode('utf-8')\n else:\n self.goal.request.planner_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.group_name = str[start:end].decode('utf-8')\n else:\n self.goal.request.group_name = str[start:end]\n _x = self\n start = end\n end += 28\n (_x.goal.request.num_planning_attempts, _x.goal.request.allowed_planning_time, _x.goal.request.max_velocity_scaling_factor, _x.goal.request.max_acceleration_scaling_factor,) = _get_struct_i3d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.name = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.name = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.position = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.velocity = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.effort = struct.unpack(pattern, str[start:end])\n _x = self\n start = end\n end += 12\n (_x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Transform()\n _v258 = val1.translation\n _x = _v258\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v259 = val1.rotation\n _x = _v259\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Twist()\n _v260 = val1.linear\n _x = _v260\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v261 = val1.angular\n _x = _v261\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Wrench()\n _v262 = val1.force\n _x = _v262\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v263 = val1.torque\n _x = _v263\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.AttachedCollisionObject()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _v264 = val1.object\n _v265 = _v264.header\n start = end\n end += 4\n (_v265.seq,) = _get_struct_I().unpack(str[start:end])\n _v266 = _v265.stamp\n _x = _v266\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v265.frame_id = str[start:end].decode('utf-8')\n else:\n _v265.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v264.id = str[start:end].decode('utf-8')\n else:\n _v264.id = str[start:end]\n _v267 = _v264.type\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v267.key = str[start:end].decode('utf-8')\n else:\n _v267.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v267.db = str[start:end].decode('utf-8')\n else:\n _v267.db = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v264.primitives = []\n for i in range(0, length):\n val3 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val3.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.dimensions = struct.unpack(pattern, str[start:end])\n _v264.primitives.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v264.primitive_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v268 = val3.position\n _x = _v268\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v269 = val3.orientation\n _x = _v269\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v264.primitive_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v264.meshes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.triangles = []\n for i in range(0, length):\n val4 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val4.vertex_indices = _get_struct_3I().unpack(str[start:end])\n val3.triangles.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.vertices = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Point()\n _x = val4\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val3.vertices.append(val4)\n _v264.meshes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v264.mesh_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v270 = val3.position\n _x = _v270\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v271 = val3.orientation\n _x = _v271\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v264.mesh_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v264.planes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Plane()\n start = end\n end += 32\n val3.coef = _get_struct_4d().unpack(str[start:end])\n _v264.planes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v264.plane_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v272 = val3.position\n _x = _v272\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v273 = val3.orientation\n _x = _v273\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v264.plane_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v264.subframe_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n _v264.subframe_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v264.subframe_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v274 = val3.position\n _x = _v274\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v275 = val3.orientation\n _x = _v275\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v264.subframe_poses.append(val3)\n start = end\n end += 1\n (_v264.operation,) = _get_struct_b().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.touch_links = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.touch_links.append(val2)\n _v276 = val1.detach_posture\n _v277 = _v276.header\n start = end\n end += 4\n (_v277.seq,) = _get_struct_I().unpack(str[start:end])\n _v278 = _v277.stamp\n _x = _v278\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v277.frame_id = str[start:end].decode('utf-8')\n else:\n _v277.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v276.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n _v276.joint_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v276.points = []\n for i in range(0, length):\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.positions = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.velocities = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.accelerations = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.effort = struct.unpack(pattern, str[start:end])\n _v279 = val3.time_from_start\n _x = _v279\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\n _v276.points.append(val3)\n start = end\n end += 8\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects.append(val1)\n start = end\n end += 1\n (self.goal.planning_options.planning_scene_diff.robot_state.is_diff,) = _get_struct_B().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.is_diff = bool(self.goal.planning_options.planning_scene_diff.robot_state.is_diff)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.robot_model_name = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.robot_model_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.fixed_frame_transforms = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.TransformStamped()\n _v280 = val1.header\n start = end\n end += 4\n (_v280.seq,) = _get_struct_I().unpack(str[start:end])\n _v281 = _v280.stamp\n _x = _v281\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v280.frame_id = str[start:end].decode('utf-8')\n else:\n _v280.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.child_frame_id = str[start:end].decode('utf-8')\n else:\n val1.child_frame_id = str[start:end]\n _v282 = val1.transform\n _v283 = _v282.translation\n _x = _v283\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v284 = _v282.rotation\n _x = _v284\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.fixed_frame_transforms.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.AllowedCollisionEntry()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sB'%length\n start = end\n end += struct.calcsize(pattern)\n val1.enabled = struct.unpack(pattern, str[start:end])\n val1.enabled = map(bool, val1.enabled)\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sB'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values = struct.unpack(pattern, str[start:end])\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values = map(bool, self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.link_padding = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.LinkPadding()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n start = end\n end += 8\n (val1.padding,) = _get_struct_d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.link_padding.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.link_scale = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.LinkScale()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n start = end\n end += 8\n (val1.scale,) = _get_struct_d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.link_scale.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.object_colors = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.ObjectColor()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n _v285 = val1.color\n _x = _v285\n start = end\n end += 16\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.object_colors.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.world.collision_objects = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.CollisionObject()\n _v286 = val1.header\n start = end\n end += 4\n (_v286.seq,) = _get_struct_I().unpack(str[start:end])\n _v287 = _v286.stamp\n _x = _v287\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v286.frame_id = str[start:end].decode('utf-8')\n else:\n _v286.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n _v288 = val1.type\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v288.key = str[start:end].decode('utf-8')\n else:\n _v288.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v288.db = str[start:end].decode('utf-8')\n else:\n _v288.db = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.primitives = []\n for i in range(0, length):\n val2 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val2.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val2.dimensions = struct.unpack(pattern, str[start:end])\n val1.primitives.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.primitive_poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v289 = val2.position\n _x = _v289\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v290 = val2.orientation\n _x = _v290\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n val1.primitive_poses.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.meshes = []\n for i in range(0, length):\n val2 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.triangles = []\n for i in range(0, length):\n val3 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val3.vertex_indices = _get_struct_3I().unpack(str[start:end])\n val2.triangles.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.vertices = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Point()\n _x = val3\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val2.vertices.append(val3)\n val1.meshes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.mesh_poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v291 = val2.position\n _x = _v291\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v292 = val2.orientation\n _x = _v292\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n val1.mesh_poses.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.planes = []\n for i in range(0, length):\n val2 = shape_msgs.msg.Plane()\n start = end\n end += 32\n val2.coef = _get_struct_4d().unpack(str[start:end])\n val1.planes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.plane_poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v293 = val2.position\n _x = _v293\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v294 = val2.orientation\n _x = _v294\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n val1.plane_poses.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.subframe_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.subframe_names.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.subframe_poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v295 = val2.position\n _x = _v295\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v296 = val2.orientation\n _x = _v296\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n val1.subframe_poses.append(val2)\n start = end\n end += 1\n (val1.operation,) = _get_struct_b().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.world.collision_objects.append(val1)\n _x = self\n start = end\n end += 12\n (_x.goal.planning_options.planning_scene_diff.world.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.w, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id = str[start:end]\n start = end\n end += 1\n (self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary,) = _get_struct_B().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary = bool(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id = str[start:end]\n start = end\n end += 8\n (self.goal.planning_options.planning_scene_diff.world.octomap.octomap.resolution,) = _get_struct_d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sb'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.data = struct.unpack(pattern, str[start:end])\n _x = self\n start = end\n end += 28\n (_x.goal.planning_options.planning_scene_diff.is_diff, _x.goal.planning_options.plan_only, _x.goal.planning_options.look_around, _x.goal.planning_options.look_around_attempts, _x.goal.planning_options.max_safe_execution_cost, _x.goal.planning_options.replan, _x.goal.planning_options.replan_attempts, _x.goal.planning_options.replan_delay,) = _get_struct_3BidBid().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.is_diff = bool(self.goal.planning_options.planning_scene_diff.is_diff)\n self.goal.planning_options.plan_only = bool(self.goal.planning_options.plan_only)\n self.goal.planning_options.look_around = bool(self.goal.planning_options.look_around)\n self.goal.planning_options.replan = bool(self.goal.planning_options.replan)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def from_bytes(self, bytearr):\n if len(bytearr) >= SensorMessage.BYTE_LENGTH:\n if len(bytearr) > SensorMessage.BYTE_LENGTH:\n bytearr = bytearr[:SensorMessage.BYTE_LENGTH+1]\n if bytearr[0] == \"\\xca\" and bytearr[1] == \"\\x55\":\n # Checksum checking is taken care of at RF module.\n #if self.calc_checksum(bytearr[:-1]) == ord(bytearr[-1]):\n self.address = bytearr[2:7]\n try:\n (self.errorflags,\n self.temperature,\n self.humidity,\n self.supply_v,\n self.link_quality,\n self.message_id) = struct.unpack(\">BHHHBH\", bytearr[7:17])\n except:\n print \"Failed to unpack message: \" + format_hex(bytearr[7:])\n #else:\n # raise ValueError(\"Incorrect checksum: Given: \" + repr(ord(bytearr[-1])) + \", calc.: \" + repr(self.calc_checksum(bytearr[:-1])))\n else:\n raise ValueError(\"Incorrect message header!\")","def deserialize(self, str):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.Class = str[start:end].decode('utf-8')\n else:\n self.Class = str[start:end]\n _x = self\n start = end\n end += 40\n (_x.probability, _x.xmin, _x.ymin, _x.xmax, _x.ymax,) = _get_struct_d4q().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_elem(self, elem_str):\n raise NotImplementedError()","def deserialize(self, str):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.name = str[start:end].decode('utf-8')\n else:\n self.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.red_u = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.red_v = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.yellow_u = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.yellow_v = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.green_u = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.green_v = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.purple_u = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.purple_v = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.orange_u = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.orange_v = struct.unpack(pattern, str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def fromString(line: Union[bytes, str]) -> SBSMessage:\n if isinstance(line, bytes):\n line = line.decode()\n\n values = line.rstrip(DELIMITER).split(\",\")\n\n if len(FieldNames) != len(values):\n raise Exception(\n \"Incorrect number of msg fields. \"\n f\"Expected {len(FieldNames)}, got {len(values)}. \"\n f\"values={values}, line={line}\"\n )\n\n attrs = {}\n for k, v in zip(FieldNames, values):\n v = v.strip() # remove any surrounding spaces\n if v:\n # perform type conversion if necessary\n if k in IntegerFields:\n v = int(v)\n elif k in FloatFields:\n v = float(v)\n elif k in BooleanFields:\n v = True if v == \"1\" else False\n elif k in DateFields:\n Y, M, D = [int(i) for i in v.split(\"/\")]\n v = datetime.date(Y, M, D)\n elif k in TimeFields:\n H, M, S = v.split(\":\")\n S, F = S.split(\".\")\n microsecond = int(int(F) * 1e3)\n v = datetime.time(\n hour=int(H), minute=int(M), second=int(S), microsecond=microsecond\n )\n # elif k in StringFields:\n # v = v.strip()\n # else:\n # # field is expected to be a string field\n # logger.warning(\n # 'Unexpected field name: {}'.format(k))\n else:\n v = None\n\n attrs[k] = v\n\n return SBSMessage(**attrs)","def _parse_data(self, queue_msg):\r\n try:\r\n result = json.loads(queue_msg)\r\n except (TypeError, ValueError):\r\n log.error(\"External message should be a JSON serialized dict.\"\r\n \" Received queue_msg = %s\", queue_msg)\r\n raise\r\n msg = result['msg']\r\n return msg","def decode(self, s):\n o = self._decoder.decode(s)\n return o","def deserialize(self, data):"],"string":"[\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 152\\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _struct_2d2q14dq.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.msg = str[start:end].decode('utf-8')\\n else:\\n self.msg = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.cmd = str[start:end].decode('utf-8')\\n else:\\n self.cmd = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.cat = str[start:end].decode('utf-8')\\n else:\\n self.cat = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.originId, _x.originType, _x.destinationId, _x.destinationType, _x.range, _x.ts, _x.seq, _x.rxPower, _x.channel, _x.datarate, _x.prf, _x.preambleLength, _x.txGain, _x.angle,) = _get_struct_ihih3i3d2i2d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg._Header.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 3\\n (_x.gear, _x.front_diff, _x.rear_diff,) = _struct_3B.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n start = end\\n end += 8\\n (self.i,) = _struct_d.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n if python3:\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.control is None:\\n self.control = vesc_msgs.msg.VescCtrl()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 56\\n (_x.control.mode, _x.control.duty_cycle, _x.control.current, _x.control.brake, _x.control.speed, _x.control.position, _x.control.servo,) = _get_struct_q6d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize(self, str):\\n if python3:\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.Header is None:\\n self.Header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.Header.seq, _x.Header.stamp.secs, _x.Header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.Header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.Header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 11\\n (_x.x_pos, _x.y_pos, _x.angle, _x.code_type, _x.code_num,) = _get_struct_2hHBI().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.prefixes is None:\\n self.prefixes = None\\n if self.address is None:\\n self.address = knowrob_semantic_map_msgs.msg.SemMapAddress()\\n if self.objects is None:\\n self.objects = None\\n if self.actions is None:\\n self.actions = None\\n if self.object_properties is None:\\n self.object_properties = None\\n if self.data_properties is None:\\n self.data_properties = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.namespace = str[start:end].decode('utf-8')\\n else:\\n self.namespace = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.id = str[start:end].decode('utf-8')\\n else:\\n self.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.prefixes = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapPrefix()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.prefix = str[start:end].decode('utf-8')\\n else:\\n val1.prefix = str[start:end]\\n self.prefixes.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.imports = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.imports.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.room_nr = str[start:end].decode('utf-8')\\n else:\\n self.address.room_nr = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.floor_nr = str[start:end].decode('utf-8')\\n else:\\n self.address.floor_nr = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.street_nr = str[start:end].decode('utf-8')\\n else:\\n self.address.street_nr = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.street_name = str[start:end].decode('utf-8')\\n else:\\n self.address.street_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.city_name = str[start:end].decode('utf-8')\\n else:\\n self.address.city_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.objects = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapObject()\\n _v7 = val1.header\\n start = end\\n end += 4\\n (_v7.seq,) = _struct_I.unpack(str[start:end])\\n _v8 = _v7.stamp\\n _x = _v8\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v7.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v7.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.type = str[start:end].decode('utf-8')\\n else:\\n val1.type = str[start:end]\\n _v9 = val1.size\\n _x = _v9\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\\n _v10 = val1.pose\\n _v11 = _v10.position\\n _x = _v11\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v12 = _v10.orientation\\n _x = _v12\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.part_of = str[start:end].decode('utf-8')\\n else:\\n val1.part_of = str[start:end]\\n self.objects.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.actions = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapAction()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.type = str[start:end].decode('utf-8')\\n else:\\n val1.type = str[start:end]\\n start = end\\n end += 1\\n (val1.asserted,) = _struct_B.unpack(str[start:end])\\n val1.asserted = bool(val1.asserted)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.object_acted_on = str[start:end].decode('utf-8')\\n else:\\n val1.object_acted_on = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.subactions = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.subactions.append(val2)\\n _x = val1\\n start = end\\n end += 2\\n (_x.quantification, _x.unordered,) = _struct_bB.unpack(str[start:end])\\n val1.unordered = bool(val1.unordered)\\n self.actions.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.object_properties = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapObjectProperty()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.subject = str[start:end].decode('utf-8')\\n else:\\n val1.subject = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.object = str[start:end].decode('utf-8')\\n else:\\n val1.object = str[start:end]\\n self.object_properties.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_properties = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapDataProperty()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.subject = str[start:end].decode('utf-8')\\n else:\\n val1.subject = str[start:end]\\n start = end\\n end += 1\\n (val1.value_type,) = _struct_B.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.value = str[start:end].decode('utf-8')\\n else:\\n val1.value = str[start:end]\\n self.data_properties.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def _from_cpp(self, str_msg, cls):\\n msg = cls()\\n result = msg.deserialize(str_msg)\\n return result\",\n \"def deserialize(self, str):\\n try:\\n if self.icon is None:\\n self.icon = rocon_std_msgs.msg.Icon()\\n if self.remappings is None:\\n self.remappings = None\\n if self.pairing is None:\\n self.pairing = rocon_interaction_msgs.msg.Pairing()\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.name = str[start:end].decode('utf-8')\\n else:\\n self.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.compatibility = str[start:end].decode('utf-8')\\n else:\\n self.compatibility = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.display_name = str[start:end].decode('utf-8')\\n else:\\n self.display_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.description = str[start:end].decode('utf-8')\\n else:\\n self.description = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.namespace = str[start:end].decode('utf-8')\\n else:\\n self.namespace = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.icon.resource_name = str[start:end].decode('utf-8')\\n else:\\n self.icon.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.icon.format = str[start:end].decode('utf-8')\\n else:\\n self.icon.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.icon.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.remappings = []\\n for i in range(0, length):\\n val1 = rocon_std_msgs.msg.Remapping()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.remap_from = str[start:end].decode('utf-8')\\n else:\\n val1.remap_from = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.remap_to = str[start:end].decode('utf-8')\\n else:\\n val1.remap_to = str[start:end]\\n self.remappings.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.parameters = str[start:end].decode('utf-8')\\n else:\\n self.parameters = str[start:end]\\n start = end\\n end += 4\\n (self.max,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.pairing.rapp = str[start:end].decode('utf-8')\\n else:\\n self.pairing.rapp = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.pairing.remappings = []\\n for i in range(0, length):\\n val1 = rocon_std_msgs.msg.Remapping()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.remap_from = str[start:end].decode('utf-8')\\n else:\\n val1.remap_from = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.remap_to = str[start:end].decode('utf-8')\\n else:\\n val1.remap_to = str[start:end]\\n self.pairing.remappings.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.pairing.parameters = []\\n for i in range(0, length):\\n val1 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.key = str[start:end].decode('utf-8')\\n else:\\n val1.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.value = str[start:end].decode('utf-8')\\n else:\\n val1.value = str[start:end]\\n self.pairing.parameters.append(val1)\\n start = end\\n end += 4\\n (self.hash,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.role = str[start:end].decode('utf-8')\\n else:\\n self.role = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.battery_voltage,) = _struct_f.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.flight_mode_ll = str[start:end].decode('utf-8')\\n else:\\n self.flight_mode_ll = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.state_estimation = str[start:end].decode('utf-8')\\n else:\\n self.state_estimation = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.position_control = str[start:end].decode('utf-8')\\n else:\\n self.position_control = str[start:end]\\n _x = self\\n start = end\\n end += 10\\n (_x.serial_interface_enabled, _x.serial_interface_active, _x.flight_time, _x.cpu_load,) = _struct_2B2f.unpack(str[start:end])\\n self.serial_interface_enabled = bool(self.serial_interface_enabled)\\n self.serial_interface_active = bool(self.serial_interface_active)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.motor_status = str[start:end].decode('utf-8')\\n else:\\n self.motor_status = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.gps_status = str[start:end].decode('utf-8')\\n else:\\n self.gps_status = str[start:end]\\n _x = self\\n start = end\\n end += 9\\n (_x.gps_num_satellites, _x.have_SSDK_parameters, _x.timesync_offset,) = _struct_iBf.unpack(str[start:end])\\n self.have_SSDK_parameters = bool(self.have_SSDK_parameters)\\n start = end\\n end += 16\\n self.rc_channel = _struct_8H.unpack(str[start:end])\\n start = end\\n end += 12\\n self.control_axes = _struct_6H.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.control_buttons = struct.unpack(pattern, str[start:end])\\n _x = self\\n start = end\\n end += 48\\n (_x.latitude, _x.longitude, _x.altitude, _x.pressure_height, _x.velocity_x, _x.velocity_y,) = _struct_6d.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def parse_and_decode(cls, data: bytes) -> \\\"Message\\\":\\n if len(data) < cls.calc_size() + 1:\\n raise NotEnoughData()\\n if data[0] != cls.type:\\n raise InvalidType()\\n\\n return cls(*unpack('<' + cls.fmt, data[1:cls.calc_size() + 1]))\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 56\\n (_x.command, _x.set_num, _x.paraset_byte54, _x.paraset_byte53, _x.paraset_byte52, _x.paraset_byte51, _x.paraset_byte50, _x.paraset_byte49, _x.paraset_byte48, _x.paraset_byte47, _x.paraset_byte46, _x.paraset_byte45, _x.paraset_byte44, _x.paraset_byte43, _x.paraset_byte42, _x.paraset_byte41, _x.paraset_byte40, _x.paraset_byte39, _x.paraset_byte38, _x.paraset_byte37, _x.paraset_byte36, _x.paraset_byte35, _x.paraset_byte34, _x.paraset_byte33, _x.paraset_byte32, _x.paraset_byte31, _x.paraset_byte30, _x.paraset_byte29, _x.paraset_byte28, _x.paraset_byte27, _x.paraset_byte26, _x.paraset_byte25, _x.paraset_byte24, _x.paraset_byte23, _x.paraset_byte22, _x.paraset_byte21, _x.paraset_byte20, _x.paraset_byte19, _x.paraset_byte18, _x.paraset_byte17, _x.paraset_byte16, _x.paraset_byte15, _x.paraset_byte14, _x.paraset_byte13, _x.paraset_byte12, _x.paraset_byte11, _x.paraset_byte10, _x.paraset_byte9, _x.paraset_byte8, _x.paraset_byte7, _x.paraset_byte6, _x.paraset_byte5, _x.paraset_byte4, _x.paraset_byte3, _x.paraset_byte2, _x.paraset_byte1,) = _get_struct_56B().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 29\\n (_x.status, _x.index, _x.range, _x.range_rate, _x.range_accl, _x.azimuth, _x.lateral_rate, _x.width, _x.is_mr_update, _x.is_lr_update, _x.amplitude,) = _get_struct_2B6f2Bb().unpack(str[start:end])\\n self.is_mr_update = bool(self.is_mr_update)\\n self.is_lr_update = bool(self.is_lr_update)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize(self, str):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.cond_transition is None:\\n self.cond_transition = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.state_path = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.state_path = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.state_class = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.state_class = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.initial_state_name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.initial_state_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.input_keys = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.input_keys.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.output_keys = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.output_keys.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.cond_outcome = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.cond_outcome.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.cond_transition = []\\n for i in range(0, length):\\n val1 = flexbe_msgs.msg.OutcomeCondition()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.state_name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val2 = str[start:end]\\n val1.state_name.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.state_outcome = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val2 = str[start:end]\\n val1.state_outcome.append(val2)\\n self.cond_transition.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.behavior_class = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.behavior_class = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.parameter_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.parameter_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.parameter_values = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.parameter_values.append(val1)\\n start = end\\n end += 8\\n self.position = _get_struct_2f().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.outcomes = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.outcomes.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.transitions = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.transitions.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sb'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.autonomy = s.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.userdata_keys = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.userdata_keys.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.userdata_remapping = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.userdata_remapping.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n start = end\\n end += 1\\n (self.success,) = _struct_B.unpack(str[start:end])\\n self.success = bool(self.success)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 34\\n (_x.sensorId, _x.id, _x.length, _x.width, _x.measstat, _x.existprob, _x.dynprop, _x.latdisp, _x.longdisp, _x.relxdot, _x.relxddot, _x.latspeed, _x.obsprob, _x.rollcount, _x.rcs,) = _struct_H6B5f2Bf.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.sv is None:\\n self.sv = None\\n end = 0\\n _x = self\\n start = end\\n end += 8\\n (_x.rcvTOW, _x.week, _x.numSV, _x.reserved1,) = _get_struct_ih2B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.sv = []\\n for i in range(0, length):\\n val1 = ublox_msgs.msg.RxmRAW_SV()\\n _x = val1\\n start = end\\n end += 24\\n (_x.cpMes, _x.prMes, _x.doMes, _x.sv, _x.mesQI, _x.cno, _x.lli,) = _get_struct_2dfB2bB().unpack(str[start:end])\\n self.sv.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 36\\n (_x.mask, _x.dynModel, _x.fixMode, _x.fixedAlt, _x.fixedAltVar, _x.minElev, _x.drLimit, _x.pDop, _x.tDop, _x.pAcc, _x.tAcc, _x.staticHoldThresh, _x.dgpsTimeOut, _x.reserved2, _x.reserved3, _x.reserved4,) = _get_struct_H2BiIbB4H2B3I().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.type is None:\\n self.type = std_msgs.msg.String()\\n if self.parent_name is None:\\n self.parent_name = std_msgs.msg.String()\\n if self.name is None:\\n self.name = std_msgs.msg.String()\\n if self.pose is None:\\n self.pose = geometry_msgs.msg.Pose()\\n if self.sensed_objects is None:\\n self.sensed_objects = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.sim_step,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.type.data = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.type.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.parent_name.data = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.parent_name.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.name.data = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.name.data = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.wall_time, _x.sim_time, _x.pose.position.x, _x.pose.position.y, _x.pose.position.z, _x.pose.orientation.x, _x.pose.orientation.y, _x.pose.orientation.z, _x.pose.orientation.w, _x.count,) = _get_struct_2f7dI().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sB'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.triggered = s.unpack(str[start:end])\\n self.triggered = list(map(bool, self.triggered))\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.range = s.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.measurement = s.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.sensed_objects = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.String()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.data = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1.data = str[start:end]\\n self.sensed_objects.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.sensed_objects_map = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.model is None:\\n self.model = articulation_msgs.msg.ModelMsg()\\n if self.data is None:\\n self.data = articulation_msgs.msg.ModelMsg()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.model.header.seq, _x.model.header.stamp.secs, _x.model.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model.name = str[start:end].decode('utf-8')\\n else:\\n self.model.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.model.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.model.track.header.seq, _x.model.track.header.stamp.secs, _x.model.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v15 = val1.position\\n _x = _v15\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v16 = val1.orientation\\n _x = _v16\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v17 = val1.stamp\\n _x = _v17\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.model.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v18 = val1.position\\n _x = _v18\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v19 = val1.orientation\\n _x = _v19\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v20 = val1.position\\n _x = _v20\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v21 = val1.orientation\\n _x = _v21\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.model.track.pose_flags = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = struct.unpack(pattern, str[start:end])\\n self.model.track.channels.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data.header.seq, _x.data.header.stamp.secs, _x.data.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data.name = str[start:end].decode('utf-8')\\n else:\\n self.data.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.data.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data.track.header.seq, _x.data.track.header.stamp.secs, _x.data.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v22 = val1.position\\n _x = _v22\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v23 = val1.orientation\\n _x = _v23\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v24 = val1.stamp\\n _x = _v24\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.data.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v25 = val1.position\\n _x = _v25\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v26 = val1.orientation\\n _x = _v26\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v27 = val1.position\\n _x = _v27\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v28 = val1.orientation\\n _x = _v28\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.data.track.pose_flags = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = struct.unpack(pattern, str[start:end])\\n self.data.track.channels.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.position is None:\\n self.position = geometry_msgs.msg.Point()\\n if self.approach is None:\\n self.approach = geometry_msgs.msg.Vector3()\\n if self.binormal is None:\\n self.binormal = geometry_msgs.msg.Vector3()\\n if self.axis is None:\\n self.axis = geometry_msgs.msg.Vector3()\\n if self.width is None:\\n self.width = std_msgs.msg.Float32()\\n if self.score is None:\\n self.score = std_msgs.msg.Float32()\\n if self.sample is None:\\n self.sample = geometry_msgs.msg.Point()\\n end = 0\\n _x = self\\n start = end\\n end += 128\\n (_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z,) = _get_struct_12d2f3d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 57\\n (_x.decision, _x.distance, _x.oriX, _x.oriY, _x.oriZ, _x.placX, _x.placY, _x.placZ,) = _get_struct_b7d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.localStamp is None:\\n self.localStamp = vehicle_msgs.msg.FrameStamp()\\n if self.globalStamp is None:\\n self.globalStamp = vehicle_msgs.msg.FrameStamp()\\n if self.camera is None:\\n self.camera = vehicle_msgs.msg.Camera()\\n if self.camera_obj is None:\\n self.camera_obj = None\\n if self.camera_lane is None:\\n self.camera_lane = vehicle_msgs.msg.Camera_Lane()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 16\\n (_x.messageID, _x.localStamp.header.seq, _x.localStamp.header.stamp.secs, _x.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.localStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.localStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.localStamp.time, _x.localStamp.lat, _x.localStamp.lng, _x.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.localStamp.position = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.localStamp.orientation = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.localStamp.linearSpeed = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.localStamp.angularSpeed = _get_struct_3d().unpack(str[start:end])\\n _x = self\\n start = end\\n end += 12\\n (_x.globalStamp.header.seq, _x.globalStamp.header.stamp.secs, _x.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.globalStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.globalStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.globalStamp.time, _x.globalStamp.lat, _x.globalStamp.lng, _x.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.globalStamp.position = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.globalStamp.orientation = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.globalStamp.linearSpeed = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.globalStamp.angularSpeed = _get_struct_3d().unpack(str[start:end])\\n _x = self\\n start = end\\n end += 12\\n (_x.camera.header.seq, _x.camera.header.stamp.secs, _x.camera.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 16\\n (_x.camera.messageID, _x.camera.localStamp.header.seq, _x.camera.localStamp.header.stamp.secs, _x.camera.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera.localStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera.localStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.camera.localStamp.time, _x.camera.localStamp.lat, _x.camera.localStamp.lng, _x.camera.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera.localStamp.position = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera.localStamp.orientation = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera.localStamp.linearSpeed = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera.localStamp.angularSpeed = _get_struct_3d().unpack(str[start:end])\\n _x = self\\n start = end\\n end += 12\\n (_x.camera.globalStamp.header.seq, _x.camera.globalStamp.header.stamp.secs, _x.camera.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera.globalStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera.globalStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.camera.globalStamp.time, _x.camera.globalStamp.lat, _x.camera.globalStamp.lng, _x.camera.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera.globalStamp.position = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera.globalStamp.orientation = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera.globalStamp.linearSpeed = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera.globalStamp.angularSpeed = _get_struct_3d().unpack(str[start:end])\\n _x = self\\n start = end\\n end += 12\\n (_x.camera.camera_numobstacles, _x.camera.VehSpeed,) = _get_struct_id().unpack(str[start:end])\\n self.camera_obj = []\\n for i in range(0, 10):\\n val1 = vehicle_msgs.msg.Camera_Obj()\\n _v9 = val1.header\\n start = end\\n end += 4\\n (_v9.seq,) = _get_struct_I().unpack(str[start:end])\\n _v10 = _v9.stamp\\n _x = _v10\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v9.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v9.frame_id = str[start:end]\\n start = end\\n end += 4\\n (val1.messageID,) = _get_struct_i().unpack(str[start:end])\\n _v11 = val1.localStamp\\n _v12 = _v11.header\\n start = end\\n end += 4\\n (_v12.seq,) = _get_struct_I().unpack(str[start:end])\\n _v13 = _v12.stamp\\n _x = _v13\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v12.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v12.frame_id = str[start:end]\\n _x = _v11\\n start = end\\n end += 32\\n (_x.time, _x.lat, _x.lng, _x.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n _v11.position = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n _v11.orientation = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n _v11.linearSpeed = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n _v11.angularSpeed = _get_struct_3d().unpack(str[start:end])\\n _v14 = val1.globalStamp\\n _v15 = _v14.header\\n start = end\\n end += 4\\n (_v15.seq,) = _get_struct_I().unpack(str[start:end])\\n _v16 = _v15.stamp\\n _x = _v16\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v15.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v15.frame_id = str[start:end]\\n _x = _v14\\n start = end\\n end += 32\\n (_x.time, _x.lat, _x.lng, _x.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n _v14.position = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n _v14.orientation = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n _v14.linearSpeed = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n _v14.angularSpeed = _get_struct_3d().unpack(str[start:end])\\n _x = val1\\n start = end\\n end += 136\\n (_x.camera_obstacle_id, _x.camera_obstacleposx, _x.camera_obstacleposy, _x.blinkerInfo, _x.cut_in_and_out, _x.obstacle_type, _x.obstacle_status, _x.obstacle_valid, _x.obstacles_brake_lights, _x.obstacle_length, _x.obstacle_width, _x.obstacles_velx, _x.obstacleAge, _x.obstacleLane, _x.CIPVFlag, _x.RadarPosX, _x.RadarVelX, _x.RadarMatchConfidence, _x.MatcheRadarID, _x.obstacleAngleRate, _x.obstacles_velY, _x.object_Accel_X, _x.obstacleReplaced, _x.obstacleAngle,) = _get_struct_i2d6i3d3i2d2ididid().unpack(str[start:end])\\n self.camera_obj.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.camera_lane.header.seq, _x.camera_lane.header.stamp.secs, _x.camera_lane.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_lane.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera_lane.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 16\\n (_x.camera_lane.messageID, _x.camera_lane.localStamp.header.seq, _x.camera_lane.localStamp.header.stamp.secs, _x.camera_lane.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_lane.localStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera_lane.localStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.camera_lane.localStamp.time, _x.camera_lane.localStamp.lat, _x.camera_lane.localStamp.lng, _x.camera_lane.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera_lane.localStamp.position = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera_lane.localStamp.orientation = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera_lane.localStamp.linearSpeed = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera_lane.localStamp.angularSpeed = _get_struct_3d().unpack(str[start:end])\\n _x = self\\n start = end\\n end += 12\\n (_x.camera_lane.globalStamp.header.seq, _x.camera_lane.globalStamp.header.stamp.secs, _x.camera_lane.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_lane.globalStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera_lane.globalStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.camera_lane.globalStamp.time, _x.camera_lane.globalStamp.lat, _x.camera_lane.globalStamp.lng, _x.camera_lane.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera_lane.globalStamp.position = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera_lane.globalStamp.orientation = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera_lane.globalStamp.linearSpeed = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera_lane.globalStamp.angularSpeed = _get_struct_3d().unpack(str[start:end])\\n _x = self\\n start = end\\n end += 404\\n (_x.camera_lane.l_numoflaneline, _x.camera_lane.l_lanelineid, _x.camera_lane.l_lanepositon, _x.camera_lane.l_lanecurvature, _x.camera_lane.l_lanecurvaturederivative, _x.camera_lane.l_lane_type, _x.camera_lane.l_heading_angle, _x.camera_lane.l_lane_mark_color, _x.camera_lane.l_laneQuality, _x.camera_lane.l_laneWidthMarking, _x.camera_lane.l_laneViewRangStart, _x.camera_lane.l_laneViewRangEnd, _x.camera_lane.l_laneCrossing, _x.camera_lane.l_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.l_lanePRED_OTHER_SIDE, _x.camera_lane.l_lanePRED_OVERRIDE, _x.camera_lane.l_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.l_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.l_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.l_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.l_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.l_lanePRED_SOURCE_STD, _x.camera_lane.l_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.l_laneTCL, _x.camera_lane.r_numoflaneline, _x.camera_lane.r_lanelineid, _x.camera_lane.r_lanepositon, _x.camera_lane.r_lanecurvature, _x.camera_lane.r_lanecurvaturederivative, _x.camera_lane.r_lane_type, _x.camera_lane.r_heading_angle, _x.camera_lane.r_lane_mark_color, _x.camera_lane.r_laneQuality, _x.camera_lane.r_laneWidthMarking, _x.camera_lane.r_laneViewRangStart, _x.camera_lane.r_laneViewRangEnd, _x.camera_lane.r_laneCrossing, _x.camera_lane.r_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.r_lanePRED_OTHER_SIDE, _x.camera_lane.r_lanePRED_OVERRIDE, _x.camera_lane.r_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.r_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.r_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.r_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.r_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.r_lanePRED_SOURCE_STD, _x.camera_lane.r_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.r_laneTCL, _x.camera_lane.next_l_laneViewRangStart, _x.camera_lane.next_l_laneViewRangEnd, _x.camera_lane.next_l_numoflaneline, _x.camera_lane.next_l_lanelineid, _x.camera_lane.next_l_lanepositon, _x.camera_lane.next_l_lanecurvature, _x.camera_lane.next_l_lanecurvaturederivative, _x.camera_lane.next_l_lane_type, _x.camera_lane.next_l_heading_angle, _x.camera_lane.next_l_lane_mark_color, _x.camera_lane.next_l_laneQuality, _x.camera_lane.next_l_laneWidthMarking, _x.camera_lane.next_r_laneViewRangStart, _x.camera_lane.next_r_laneViewRangEnd, _x.camera_lane.next_r_numoflaneline, _x.camera_lane.next_r_lanelineid, _x.camera_lane.next_r_lanepositon, _x.camera_lane.next_r_lanecurvature, _x.camera_lane.next_r_lanecurvaturederivative, _x.camera_lane.next_r_lane_type, _x.camera_lane.next_r_heading_angle, _x.camera_lane.next_r_lane_mark_color, _x.camera_lane.next_r_laneQuality, _x.camera_lane.next_r_laneWidthMarking, _x.camera_lane.highwayConstructionArea, _x.camera_lane.highwayRoadType, _x.camera_lane.highwayHighwayExitRight, _x.camera_lane.highwayHighwayExitLeft, _x.camera_lane.highwayProbabilityLeftLane, _x.camera_lane.highwayProbabilityRightLane, _x.camera_lane.highwayDriving_peed_left_lane, _x.camera_lane.highwayDriving_peed_right_lane, _x.camera_lane.highwayprotocol_version,) = _get_struct_2i3did19i3did21i3did7i3did7i4di().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 6\\n (_x.sbpl_wait_flag, _x.sbpl_present_x, _x.sbpl_present_y, _x.sbpl_new_x, _x.sbpl_new_y, _x.start_P3DX_motion,) = _struct_B4bB.unpack(str[start:end])\\n self.sbpl_wait_flag = bool(self.sbpl_wait_flag)\\n self.start_P3DX_motion = bool(self.start_P3DX_motion)\\n return self\\n except struct.error as e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.vehicle_id is None:\\n self.vehicle_id = opil_v2.msg.Id()\\n if self.action_capability is None:\\n self.action_capability = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.vehicle_id.id,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.vehicle_id.description = str[start:end].decode('utf-8')\\n else:\\n self.vehicle_id.description = str[start:end]\\n _x = self\\n start = end\\n end += 84\\n (_x.left_size, _x.right_size, _x.front_size, _x.rear_size, _x.min_height, _x.max_height, _x.payload, _x.max_pos_x_vel, _x.max_neg_x_vel, _x.max_pos_x_acc, _x.max_neg_x_acc, _x.max_pos_y_vel, _x.max_neg_y_vel, _x.max_pos_y_acc, _x.max_neg_y_acc, _x.max_pos_ang_vel, _x.max_neg_ang_vel, _x.velocity_control_sensitivity, _x.min_turning_radius, _x.batt_capacity, _x.batt_max_voltage,) = _get_struct_21f().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.vehicle_type = str[start:end].decode('utf-8')\\n else:\\n self.vehicle_type = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.vendor = str[start:end].decode('utf-8')\\n else:\\n self.vendor = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.action_capability = []\\n for i in range(0, length):\\n val1 = opil_v2.msg.RobotAction()\\n _x = val1\\n start = end\\n end += 2\\n (_x.category, _x.action,) = _get_struct_2B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.attributes = []\\n for i in range(0, length):\\n val2 = opil_v2.msg.Tuple()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.type = str[start:end].decode('utf-8')\\n else:\\n val2.type = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.value = str[start:end].decode('utf-8')\\n else:\\n val2.value = str[start:end]\\n val1.attributes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.description = str[start:end].decode('utf-8')\\n else:\\n val1.description = str[start:end]\\n self.action_capability.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.hlive, _x.hstate, _x.hfinished, _x.pressure, _x.c1, _x.c2, _x.c3, _x.c4, _x.c5, _x.c6, _x.c7, _x.c8,) = _struct_12B.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg._Header.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 9\\n (_x.dvl_sts, _x.svs_sts, _x.fog_sts, _x.nav_sts, _x.bat_sts, _x.t_sts, _x.h_sts, _x.p_sts, _x.water_sts,) = _struct_9B.unpack(str[start:end])\\n self.dvl_sts = bool(self.dvl_sts)\\n self.svs_sts = bool(self.svs_sts)\\n self.fog_sts = bool(self.fog_sts)\\n self.nav_sts = bool(self.nav_sts)\\n self.bat_sts = bool(self.bat_sts)\\n self.t_sts = bool(self.t_sts)\\n self.h_sts = bool(self.h_sts)\\n self.p_sts = bool(self.p_sts)\\n self.water_sts = bool(self.water_sts)\\n return self\\n except struct.error as e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.pose is None:\\n self.pose = geometry_msgs.msg.PoseWithCovariance()\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w,) = _get_struct_Q8d().unpack(str[start:end])\\n start = end\\n end += 288\\n self.pose.covariance = _get_struct_36d().unpack(str[start:end])\\n _x = self\\n start = end\\n end += 40\\n (_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h,) = _get_struct_5d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.modality = str[start:end].decode('utf-8')\\n else:\\n self.modality = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.embed_vector = struct.unpack(pattern, str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 24\\n (_x.sysid, _x.compid, _x.limits_state, _x.last_trigger, _x.last_action, _x.last_recovery, _x.last_clear, _x.breach_count, _x.mods_enabled, _x.mods_required, _x.mods_triggered,) = _struct_3B4IH3B.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.model_aligned is None:\\n self.model_aligned = articulation_msgs.msg.ModelMsg()\\n if self.data_aligned is None:\\n self.data_aligned = articulation_msgs.msg.ModelMsg()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model_aligned.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.name = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.model_aligned.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model_aligned.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v71 = val1.position\\n _x = _v71\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v72 = val1.orientation\\n _x = _v72\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v73 = val1.stamp\\n _x = _v73\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.model_aligned.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v74 = val1.position\\n _x = _v74\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v75 = val1.orientation\\n _x = _v75\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v76 = val1.position\\n _x = _v76\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v77 = val1.orientation\\n _x = _v77\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.model_aligned.track.pose_flags = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = struct.unpack(pattern, str[start:end])\\n self.model_aligned.track.channels.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data_aligned.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.name = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.data_aligned.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data_aligned.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v78 = val1.position\\n _x = _v78\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v79 = val1.orientation\\n _x = _v79\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v80 = val1.stamp\\n _x = _v80\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.data_aligned.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v81 = val1.position\\n _x = _v81\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v82 = val1.orientation\\n _x = _v82\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v83 = val1.position\\n _x = _v83\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v84 = val1.orientation\\n _x = _v84\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.data_aligned.track.pose_flags = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = struct.unpack(pattern, str[start:end])\\n self.data_aligned.track.channels.append(val1)\\n start = end\\n end += 72\\n self.R = _struct_9d.unpack(str[start:end])\\n start = end\\n end += 24\\n self.T = _struct_3d.unpack(str[start:end])\\n _x = self\\n start = end\\n end += 12\\n (_x.dist_rot, _x.dist_trans,) = _struct_df.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 32\\n (_x.distance_front, _x.angle_front, _x.distance_back, _x.angle_back, _x.turn_left,) = _struct_didid.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.turn_left_sensor = str[start:end]\\n start = end\\n end += 8\\n (self.turn_right,) = _struct_d.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.turn_right_sensor = str[start:end]\\n return self\\n except struct.error as e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def __parse_message_as(msg_type: type, msg_str: str) -> Any:\\n # parse the message\\n msg_dict = json.loads(msg_str)\\n\\n # the type specified in the message needs to match\\n # the type we are parsing as\\n assert msg_dict[MSG_TYPE_NAME] == msg_type.__name__, \\\\\\n f\\\"Message type did not match the parsing type,\\\" \\\\\\n f\\\"parsing the message as type {msg_type.__name__},\\\" \\\\\\n f\\\"but get a message of type {msg_dict[MSG_TYPE_NAME]}\\\"\\n\\n # remove the message type information, and create the object\\n del msg_dict[MSG_TYPE_NAME]\\n return msg_type(**msg_dict)\",\n \"def from_msg(cls, msg):\\n if cls._debug:\\n log.debug('msg=%s', msg)\\n key, seq_s, uuid, prop_s, body = msg\\n key = key if key else None\\n seq = struct.unpack('!q', seq_s)[0]\\n body = body if body else None\\n if body:\\n body = pipeline.load(body)\\n #body = json.loads(body_s)\\n #prop = json.loads(prop_s)\\n prop = pipeline.load(prop_s)\\n return cls(seq, uuid=uuid, key=key, properties=prop, body=body)\",\n \"def unpack(self, raw_message):\\n return self._msg_struct.unpack(raw_message)\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.lnid, _x.did, _x.blid, _x.flid, _x.bnid, _x.fnid, _x.jct, _x.blid2, _x.blid3, _x.blid4, _x.flid2, _x.flid3, _x.flid4, _x.clossid, _x.span, _x.lcnt, _x.lno,) = _struct_14id2i.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.canmsg = str[start:end].decode('utf-8')\\n else:\\n self.canmsg = str[start:end]\\n _x = self\\n start = end\\n end += 30\\n (_x.track_id, _x.track_lat_rate, _x.track_group_changed, _x.track_status, _x.track_angle, _x.track_range, _x.track_bridge_object, _x.track_rolling_count, _x.track_width, _x.track_range_accel, _x.track_med_range_mode, _x.track_range_rate,) = _get_struct_Bf2B2f2B2fBf().unpack(str[start:end])\\n self.track_group_changed = bool(self.track_group_changed)\\n self.track_bridge_object = bool(self.track_bridge_object)\\n self.track_rolling_count = bool(self.track_rolling_count)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n start = end\\n end += 1\\n (self.type,) = _struct_B.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model = str[start:end].decode('utf-8')\\n else:\\n self.model = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.head_version = str[start:end].decode('utf-8')\\n else:\\n self.head_version = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.body_version = str[start:end].decode('utf-8')\\n else:\\n self.body_version = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.arm_version = str[start:end].decode('utf-8')\\n else:\\n self.arm_version = str[start:end]\\n _x = self\\n start = end\\n end += 14\\n (_x.has_laser, _x.has_extended_arms, _x.number_of_legs, _x.number_of_arms, _x.number_of_hands,) = _struct_2B3i.unpack(str[start:end])\\n self.has_laser = bool(self.has_laser)\\n self.has_extended_arms = bool(self.has_extended_arms)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def decode(cls, buffer):\\n\\n if len(buffer) < struct.calcsize(b\\\"<i\\\"):\\n raise IncompleteMessageError\\n size = struct.unpack(b\\\"<i\\\", buffer[:4])[0]\\n if len(buffer) - struct.calcsize(b\\\"<i\\\") < size:\\n raise IncompleteMessageError\\n packet = buffer[:size + 4]\\n buffer = buffer[size + 4:]\\n id = struct.unpack(b\\\"<i\\\", packet[4:8])[0]\\n type = struct.unpack(b\\\"<i\\\", packet[8:12])[0]\\n body = packet[12:][:-2].decode(\\\"ascii\\\")\\n return cls(id, type, body), buffer\",\n \"def unpack(self, s):\\n\\n raise NotImplementedError()\",\n \"def deserialize(self, str):\\n try:\\n if self.line is None:\\n self.line = None\\n if self.circle is None:\\n self.circle = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.id = str[start:end].decode('utf-8')\\n else:\\n self.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.line = []\\n for i in range(0, length):\\n val1 = krssg_ssl_msgs.msg.sslDebug_Line()\\n _x = val1\\n start = end\\n end += 20\\n (_x.x1, _x.y1, _x.x2, _x.y2, _x.color,) = _get_struct_4if().unpack(str[start:end])\\n self.line.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.circle = []\\n for i in range(0, length):\\n val1 = krssg_ssl_msgs.msg.sslDebug_Circle()\\n _x = val1\\n start = end\\n end += 16\\n (_x.x, _x.y, _x.radius, _x.color,) = _get_struct_3if().unpack(str[start:end])\\n self.circle.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.tsp_turtles = str[start:end].decode('utf-8')\\n else:\\n self.tsp_turtles = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.conveyor_turtle = str[start:end].decode('utf-8')\\n else:\\n self.conveyor_turtle = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.catch_turtle = str[start:end].decode('utf-8')\\n else:\\n self.catch_turtle = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.RPY is None:\\n self.RPY = geometry_msgs.msg.Vector3()\\n if self.LLA is None:\\n self.LLA = geometry_msgs.msg.Vector3()\\n if self.NedVel is None:\\n self.NedVel = geometry_msgs.msg.Vector3()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 116\\n (_x.Time, _x.Week, _x.Status, _x.RPY.x, _x.RPY.y, _x.RPY.z, _x.LLA.x, _x.LLA.y, _x.LLA.z, _x.NedVel.x, _x.NedVel.y, _x.NedVel.z, _x.YawUncertainty, _x.PitchUncertainty, _x.RollUncertainty, _x.PosUncertainty, _x.VelUncertainty, _x.SyncInTime, _x.SyncInCount,) = _get_struct_d2H9d5fdI().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.pointA is None:\\n self.pointA = nubot_common.msg.Point2d()\\n if self.pointB is None:\\n self.pointB = nubot_common.msg.Point2d()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 26\\n (_x.MatchMode, _x.MatchType, _x.TestMode, _x.pointA.x, _x.pointA.y, _x.pointB.x, _x.pointB.y, _x.angleA, _x.angleB, _x.idA, _x.idB, _x.kickforce,) = _get_struct_3B4f2h3B().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.x is None:\\n self.x = geometry_msgs.msg.PoseStamped()\\n if self.x_desi is None:\\n self.x_desi = geometry_msgs.msg.PoseStamped()\\n if self.x_desi_filtered is None:\\n self.x_desi_filtered = geometry_msgs.msg.PoseStamped()\\n if self.x_err is None:\\n self.x_err = geometry_msgs.msg.Twist()\\n if self.xd is None:\\n self.xd = geometry_msgs.msg.Twist()\\n if self.xd_desi is None:\\n self.xd_desi = geometry_msgs.msg.Twist()\\n if self.F is None:\\n self.F = geometry_msgs.msg.Wrench()\\n if self.J is None:\\n self.J = std_msgs.msg.Float64MultiArray()\\n if self.N is None:\\n self.N = std_msgs.msg.Float64MultiArray()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x_desi.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x_desi.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x_desi_filtered.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x_desi_filtered.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 248\\n (_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z,) = _get_struct_31d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau_pose = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau_posture = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.J.layout.dim = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.MultiArrayDimension()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.label = str[start:end].decode('utf-8')\\n else:\\n val1.label = str[start:end]\\n _x = val1\\n start = end\\n end += 8\\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\\n self.J.layout.dim.append(val1)\\n start = end\\n end += 4\\n (self.J.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.J.data = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.N.layout.dim = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.MultiArrayDimension()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.label = str[start:end].decode('utf-8')\\n else:\\n val1.label = str[start:end]\\n _x = val1\\n start = end\\n end += 8\\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\\n self.N.layout.dim.append(val1)\\n start = end\\n end += 4\\n (self.N.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.N.data = struct.unpack(pattern, str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.position is None:\\n self.position = pcl_segment.msg.positionRPY()\\n end = 0\\n _x = self\\n start = end\\n end += 57\\n (_x.position.x, _x.position.y, _x.position.z, _x.position.roll, _x.position.pitch, _x.position.yaw, _x.position.stamp.secs, _x.position.stamp.nsecs, _x.is_Known,) = _get_struct_6d2IB().unpack(str[start:end])\\n self.is_Known = bool(self.is_Known)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.actors is None:\\n self.actors = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.actors = []\\n for i in range(0, length):\\n val1 = nesfr3_msgs.msg.Actor()\\n _v9 = val1.header\\n start = end\\n end += 4\\n (_v9.seq,) = _get_struct_I().unpack(str[start:end])\\n _v10 = _v9.stamp\\n _x = _v10\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v9.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v9.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (val1.tracking_id,) = _get_struct_I().unpack(str[start:end])\\n _v11 = val1.pose\\n _v12 = _v11.pose\\n _v13 = _v12.position\\n _x = _v13\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v14 = _v12.orientation\\n _x = _v14\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 288\\n _v11.covariance = _get_struct_36d().unpack(str[start:end])\\n val1.points = []\\n for i in range(0, 18):\\n val2 = nesfr3_msgs.msg.PointWithConfidence()\\n _v15 = val2.point\\n _x = _v15\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val2.confidence,) = _get_struct_f().unpack(str[start:end])\\n val1.points.append(val2)\\n _v16 = val1.nose_point\\n _x = _v16\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.actors.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def parse_Bytes(serialized_bytes, msg_class):\\n if msg_class is None or msg_class is bytes:\\n return serialized_bytes\\n msg = msg_class()\\n msg.ParseFromString(serialized_bytes)\\n return msg\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n start = end\\n end += 2580\\n self.Rscanpose = _get_struct_645f().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.predict is None:\\n self.predict = argus_msgs.msg.FilterPredictStep()\\n if self.update is None:\\n self.update = argus_msgs.msg.FilterUpdateStep()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 26\\n (_x.step_num, _x.info_type, _x.predict.step_dt, _x.predict.trans_jacobian.column_major, _x.predict.trans_jacobian.rows, _x.predict.trans_jacobian.cols,) = _get_struct_QBdB2I().unpack(str[start:end])\\n self.predict.trans_jacobian.column_major = bool(self.predict.trans_jacobian.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.predict.trans_jacobian.data = struct.unpack(pattern, str[start:end])\\n _x = self\\n start = end\\n end += 9\\n (_x.predict.trans_noise_cov.column_major, _x.predict.trans_noise_cov.rows, _x.predict.trans_noise_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.predict.trans_noise_cov.column_major = bool(self.predict.trans_noise_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.predict.trans_noise_cov.data = struct.unpack(pattern, str[start:end])\\n _x = self\\n start = end\\n end += 9\\n (_x.predict.prior_state_cov.column_major, _x.predict.prior_state_cov.rows, _x.predict.prior_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.predict.prior_state_cov.column_major = bool(self.predict.prior_state_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.predict.prior_state_cov.data = struct.unpack(pattern, str[start:end])\\n _x = self\\n start = end\\n end += 9\\n (_x.predict.post_state_cov.column_major, _x.predict.post_state_cov.rows, _x.predict.post_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.predict.post_state_cov.column_major = bool(self.predict.post_state_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.predict.post_state_cov.data = struct.unpack(pattern, str[start:end])\\n _x = self\\n start = end\\n end += 9\\n (_x.update.prior_state_cov.column_major, _x.update.prior_state_cov.rows, _x.update.prior_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.prior_state_cov.column_major = bool(self.update.prior_state_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.prior_state_cov.data = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.prior_obs_error = struct.unpack(pattern, str[start:end])\\n _x = self\\n start = end\\n end += 9\\n (_x.update.obs_error_cov.column_major, _x.update.obs_error_cov.rows, _x.update.obs_error_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.obs_error_cov.column_major = bool(self.update.obs_error_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.obs_error_cov.data = struct.unpack(pattern, str[start:end])\\n _x = self\\n start = end\\n end += 9\\n (_x.update.post_state_cov.column_major, _x.update.post_state_cov.rows, _x.update.post_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.post_state_cov.column_major = bool(self.update.post_state_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.post_state_cov.data = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.state_delta = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.post_obs_error = struct.unpack(pattern, str[start:end])\\n _x = self\\n start = end\\n end += 9\\n (_x.update.obs_jacobian.column_major, _x.update.obs_jacobian.rows, _x.update.obs_jacobian.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.obs_jacobian.column_major = bool(self.update.obs_jacobian.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.obs_jacobian.data = struct.unpack(pattern, str[start:end])\\n _x = self\\n start = end\\n end += 9\\n (_x.update.obs_noise_cov.column_major, _x.update.obs_noise_cov.rows, _x.update.obs_noise_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.obs_noise_cov.column_major = bool(self.update.obs_noise_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.obs_noise_cov.data = struct.unpack(pattern, str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def decode_message(self, raw):\\n return raw.decode('utf-8')\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 112\\n (_x.u0, _x.h0, _x.vl, _x.i0, _x.wv, _x.wh, _x.wi, _x.h_stop, _x.T_gap, _x.v_max, _x.v_min, _x.h_min, _x.i_max, _x.i_min,) = _struct_14d.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.nodes is None:\\n self.nodes = None\\n end = 0\\n _x = self\\n start = end\\n end += 14\\n (_x.role, _x.id, _x.local_time, _x.system_time, _x.voltage,) = _get_struct_2B2If().unpack(str[start:end])\\n start = end\\n end += 12\\n self.pos_3d = _get_struct_3f().unpack(str[start:end])\\n start = end\\n end += 12\\n self.eop_3d = _get_struct_3f().unpack(str[start:end])\\n start = end\\n end += 12\\n self.vel_3d = _get_struct_3f().unpack(str[start:end])\\n start = end\\n end += 12\\n self.angle_3d = _get_struct_3f().unpack(str[start:end])\\n start = end\\n end += 16\\n self.quaternion = _get_struct_4f().unpack(str[start:end])\\n start = end\\n end += 12\\n self.imu_gyro_3d = _get_struct_3f().unpack(str[start:end])\\n start = end\\n end += 12\\n self.imu_acc_3d = _get_struct_3f().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.nodes = []\\n for i in range(0, length):\\n val1 = nlink_parser.msg.LinktrackNode2()\\n _x = val1\\n start = end\\n end += 14\\n (_x.role, _x.id, _x.dis, _x.fp_rssi, _x.rx_rssi,) = _get_struct_2B3f().unpack(str[start:end])\\n self.nodes.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 56\\n (_x.s_x, _x.s_y, _x.f_x, _x.f_y, _x.step_size, _x.bias_param, _x.max_iteration,) = _struct_7q.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 16\\n (_x.FL_vel, _x.FR_vel, _x.BL_vel, _x.BR_vel,) = _struct_4i.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 100\\n (_x.id, _x.age, _x.velocidad_relativa_x, _x.velocidad_relativa_y, _x.velocidad_absoluta_x, _x.velocidad_absoluta_y, _x.velocidad_absoluta_sigma_x, _x.velocidad_absoluta_sigma_y, _x.bounding_box_centro_x, _x.bounding_box_centro_y, _x.bounding_box_largo, _x.bounding_box_ancho, _x.object_box_centro_x, _x.object_box_centro_y, _x.object_box_orientacion, _x.object_box_size_x, _x.object_box_size_y, _x.clasificacion, _x.clasificacion_age, _x.clasificacion_certeza, _x.punto_cercano_x, _x.punto_cercano_y, _x.punto_referencia_x, _x.punto_referencia_y, _x.punto_referencia_sigma_x, _x.punto_referencia_sigma_y,) = _get_struct_h16fh8f().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.object1 = str[start:end].decode('utf-8')\\n else:\\n self.object1 = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.object2 = str[start:end].decode('utf-8')\\n else:\\n self.object2 = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.penetration_distance, _x.operation,) = _struct_di.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n if python3:\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 86\\n (_x.sample_count, _x.ekf_roll, _x.ekf_pitch, _x.ekf_yaw, _x.ekf_lat, _x.ekf_lon, _x.ekf_alt, _x.ekf_vN, _x.ekf_vE, _x.ekf_vD, _x.ekf_vX, _x.ekf_vY, _x.ekf_vZ, _x.rad_gyro_X, _x.rad_gyro_Y, _x.rad_gyro_Z, _x.angular_acc_X, _x.angular_acc_Y, _x.angular_acc_Z, _x.alt_DVL,) = _get_struct_I3f2d13fH().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.dvl_error_code = str[start:end]\\n _x = self\\n start = end\\n end += 73\\n (_x.flag_to_check, _x.imu_deg_gyro_X, _x.imu_deg_gyro_Y, _x.imu_deg_gyro_Z, _x.imu_mag_X, _x.imu_mag_Y, _x.imu_mag_Z, _x.imu_acc_X, _x.imu_acc_Y, _x.imu_acc_Z, _x.gps_lat, _x.gps_lon, _x.gps_alt, _x.gps_vN, _x.gps_vE, _x.gps_vD, _x.dvl_vX, _x.dvl_vY, _x.dvl_vZ,) = _get_struct_B9f2i7f().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def _recv_serialized(self, socket):\\n msg = pickle.loads(socket.recv())\\n return msg\",\n \"def deserialize(self, str):\\n if python3:\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.graspable_objects is None:\\n self.graspable_objects = None\\n if self.image is None:\\n self.image = sensor_msgs.msg.Image()\\n if self.camera_info is None:\\n self.camera_info = sensor_msgs.msg.CameraInfo()\\n if self.meshes is None:\\n self.meshes = None\\n if self.reference_to_camera is None:\\n self.reference_to_camera = geometry_msgs.msg.Pose()\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.graspable_objects = []\\n for i in range(0, length):\\n val1 = manipulation_msgs.msg.GraspableObject()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.reference_frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1.reference_frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.potential_models = []\\n for i in range(0, length):\\n val2 = household_objects_database_msgs.msg.DatabaseModelPose()\\n start = end\\n end += 4\\n (val2.model_id,) = _get_struct_i().unpack(str[start:end])\\n _v32 = val2.type\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v32.key = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v32.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v32.db = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v32.db = str[start:end]\\n _v33 = val2.pose\\n _v34 = _v33.header\\n start = end\\n end += 4\\n (_v34.seq,) = _get_struct_I().unpack(str[start:end])\\n _v35 = _v34.stamp\\n _x = _v35\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v34.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v34.frame_id = str[start:end]\\n _v36 = _v33.pose\\n _v37 = _v36.position\\n _x = _v37\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v38 = _v36.orientation\\n _x = _v38\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val2.confidence,) = _get_struct_f().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.detector_name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val2.detector_name = str[start:end]\\n val1.potential_models.append(val2)\\n _v39 = val1.cluster\\n _v40 = _v39.header\\n start = end\\n end += 4\\n (_v40.seq,) = _get_struct_I().unpack(str[start:end])\\n _v41 = _v40.stamp\\n _x = _v41\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v40.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v40.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v39.points = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Point32()\\n _x = val3\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _get_struct_3f().unpack(str[start:end])\\n _v39.points.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v39.channels = []\\n for i in range(0, length):\\n val3 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val3.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n val3.values = s.unpack(str[start:end])\\n _v39.channels.append(val3)\\n _v42 = val1.region\\n _v43 = _v42.cloud\\n _v44 = _v43.header\\n start = end\\n end += 4\\n (_v44.seq,) = _get_struct_I().unpack(str[start:end])\\n _v45 = _v44.stamp\\n _x = _v45\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v44.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v44.frame_id = str[start:end]\\n _x = _v43\\n start = end\\n end += 8\\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v43.fields = []\\n for i in range(0, length):\\n val4 = sensor_msgs.msg.PointField()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val4.name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val4.name = str[start:end]\\n _x = val4\\n start = end\\n end += 9\\n (_x.offset, _x.datatype, _x.count,) = _get_struct_IBI().unpack(str[start:end])\\n _v43.fields.append(val4)\\n _x = _v43\\n start = end\\n end += 9\\n (_x.is_bigendian, _x.point_step, _x.row_step,) = _get_struct_B2I().unpack(str[start:end])\\n _v43.is_bigendian = bool(_v43.is_bigendian)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v43.data = str[start:end]\\n start = end\\n end += 1\\n (_v43.is_dense,) = _get_struct_B().unpack(str[start:end])\\n _v43.is_dense = bool(_v43.is_dense)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n _v42.mask = s.unpack(str[start:end])\\n _v46 = _v42.image\\n _v47 = _v46.header\\n start = end\\n end += 4\\n (_v47.seq,) = _get_struct_I().unpack(str[start:end])\\n _v48 = _v47.stamp\\n _x = _v48\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v47.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v47.frame_id = str[start:end]\\n _x = _v46\\n start = end\\n end += 8\\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v46.encoding = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v46.encoding = str[start:end]\\n _x = _v46\\n start = end\\n end += 5\\n (_x.is_bigendian, _x.step,) = _get_struct_BI().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v46.data = str[start:end]\\n _v49 = _v42.disparity_image\\n _v50 = _v49.header\\n start = end\\n end += 4\\n (_v50.seq,) = _get_struct_I().unpack(str[start:end])\\n _v51 = _v50.stamp\\n _x = _v51\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v50.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v50.frame_id = str[start:end]\\n _x = _v49\\n start = end\\n end += 8\\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v49.encoding = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v49.encoding = str[start:end]\\n _x = _v49\\n start = end\\n end += 5\\n (_x.is_bigendian, _x.step,) = _get_struct_BI().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v49.data = str[start:end]\\n _v52 = _v42.cam_info\\n _v53 = _v52.header\\n start = end\\n end += 4\\n (_v53.seq,) = _get_struct_I().unpack(str[start:end])\\n _v54 = _v53.stamp\\n _x = _v54\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v53.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v53.frame_id = str[start:end]\\n _x = _v52\\n start = end\\n end += 8\\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v52.distortion_model = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v52.distortion_model = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n _v52.D = s.unpack(str[start:end])\\n start = end\\n end += 72\\n _v52.K = _get_struct_9d().unpack(str[start:end])\\n start = end\\n end += 72\\n _v52.R = _get_struct_9d().unpack(str[start:end])\\n start = end\\n end += 96\\n _v52.P = _get_struct_12d().unpack(str[start:end])\\n _x = _v52\\n start = end\\n end += 8\\n (_x.binning_x, _x.binning_y,) = _get_struct_2I().unpack(str[start:end])\\n _v55 = _v52.roi\\n _x = _v55\\n start = end\\n end += 17\\n (_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify,) = _get_struct_4IB().unpack(str[start:end])\\n _v55.do_rectify = bool(_v55.do_rectify)\\n _v56 = _v42.roi_box_pose\\n _v57 = _v56.header\\n start = end\\n end += 4\\n (_v57.seq,) = _get_struct_I().unpack(str[start:end])\\n _v58 = _v57.stamp\\n _x = _v58\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v57.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v57.frame_id = str[start:end]\\n _v59 = _v56.pose\\n _v60 = _v59.position\\n _x = _v60\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v61 = _v59.orientation\\n _x = _v61\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v62 = _v42.roi_box_dims\\n _x = _v62\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.collision_name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1.collision_name = str[start:end]\\n self.graspable_objects.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.image.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.image.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.image.height, _x.image.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.image.encoding = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.image.encoding = str[start:end]\\n _x = self\\n start = end\\n end += 5\\n (_x.image.is_bigendian, _x.image.step,) = _get_struct_BI().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.image.data = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.camera_info.header.seq, _x.camera_info.header.stamp.secs, _x.camera_info.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_info.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.camera_info.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.camera_info.height, _x.camera_info.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_info.distortion_model = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.camera_info.distortion_model = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.camera_info.D = s.unpack(str[start:end])\\n start = end\\n end += 72\\n self.camera_info.K = _get_struct_9d().unpack(str[start:end])\\n start = end\\n end += 72\\n self.camera_info.R = _get_struct_9d().unpack(str[start:end])\\n start = end\\n end += 96\\n self.camera_info.P = _get_struct_12d().unpack(str[start:end])\\n _x = self\\n start = end\\n end += 25\\n (_x.camera_info.binning_x, _x.camera_info.binning_y, _x.camera_info.roi.x_offset, _x.camera_info.roi.y_offset, _x.camera_info.roi.height, _x.camera_info.roi.width, _x.camera_info.roi.do_rectify,) = _get_struct_6IB().unpack(str[start:end])\\n self.camera_info.roi.do_rectify = bool(self.camera_info.roi.do_rectify)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.meshes = []\\n for i in range(0, length):\\n val1 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.triangles = []\\n for i in range(0, length):\\n val2 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val2.vertex_indices = _get_struct_3I().unpack(str[start:end])\\n val1.triangles.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.vertices = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Point()\\n _x = val2\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val1.vertices.append(val2)\\n self.meshes.append(val1)\\n _x = self\\n start = end\\n end += 56\\n (_x.reference_to_camera.position.x, _x.reference_to_camera.position.y, _x.reference_to_camera.position.z, _x.reference_to_camera.orientation.x, _x.reference_to_camera.orientation.y, _x.reference_to_camera.orientation.z, _x.reference_to_camera.orientation.w,) = _get_struct_7d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize(self, str):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.goal_id is None:\\n self.goal_id = actionlib_msgs.msg.GoalID()\\n if self.goal is None:\\n self.goal = coordinator.msg.ManipTaskGoal()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal_id.id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.goal_id.id = str[start:end]\\n _x = self\\n start = end\\n end += 20\\n (_x.goal.action_code, _x.goal.object_code, _x.goal.pickup_frame.header.seq, _x.goal.pickup_frame.header.stamp.secs, _x.goal.pickup_frame.header.stamp.nsecs,) = _get_struct_2i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.pickup_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.goal.pickup_frame.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.goal.pickup_frame.pose.position.x, _x.goal.pickup_frame.pose.position.y, _x.goal.pickup_frame.pose.position.z, _x.goal.pickup_frame.pose.orientation.x, _x.goal.pickup_frame.pose.orientation.y, _x.goal.pickup_frame.pose.orientation.z, _x.goal.pickup_frame.pose.orientation.w, _x.goal.dropoff_frame.header.seq, _x.goal.dropoff_frame.header.stamp.secs, _x.goal.dropoff_frame.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.dropoff_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.goal.dropoff_frame.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.goal.dropoff_frame.pose.position.x, _x.goal.dropoff_frame.pose.position.y, _x.goal.dropoff_frame.pose.position.z, _x.goal.dropoff_frame.pose.orientation.x, _x.goal.dropoff_frame.pose.orientation.y, _x.goal.dropoff_frame.pose.orientation.z, _x.goal.dropoff_frame.pose.orientation.w, _x.goal.gripper_goal_frame.header.seq, _x.goal.gripper_goal_frame.header.stamp.secs, _x.goal.gripper_goal_frame.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.gripper_goal_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.goal.gripper_goal_frame.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 60\\n (_x.goal.gripper_goal_frame.pose.position.x, _x.goal.gripper_goal_frame.pose.position.y, _x.goal.gripper_goal_frame.pose.position.z, _x.goal.gripper_goal_frame.pose.orientation.x, _x.goal.gripper_goal_frame.pose.orientation.y, _x.goal.gripper_goal_frame.pose.orientation.z, _x.goal.gripper_goal_frame.pose.orientation.w, _x.goal.perception_source,) = _get_struct_7di().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def _from_string(cls, serialized):\\r\\n parse = cls.parse_url(serialized)\\r\\n\\r\\n if parse['version_guid']:\\r\\n parse['version_guid'] = cls.as_object_id(parse['version_guid'])\\r\\n\\r\\n return cls(**{key: parse.get(key) for key in cls.KEY_FIELDS})\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.pan is None:\\n self.pan = movo_msgs.msg.PanTiltActuatorFdbk()\\n if self.tilt is None:\\n self.tilt = movo_msgs.msg.PanTiltActuatorFdbk()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.pan.header.seq, _x.pan.header.stamp.secs, _x.pan.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.pan.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.pan.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 64\\n (_x.pan.current, _x.pan.pos_rad, _x.pan.vel_rps, _x.pan.torque_nm, _x.pan.pwm, _x.pan.encoder_rad, _x.pan.accel.x, _x.pan.accel.y, _x.pan.accel.z, _x.pan.temperature_degC, _x.tilt.header.seq, _x.tilt.header.stamp.secs, _x.tilt.header.stamp.nsecs,) = _struct_6f3df3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.tilt.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.tilt.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 52\\n (_x.tilt.current, _x.tilt.pos_rad, _x.tilt.vel_rps, _x.tilt.torque_nm, _x.tilt.pwm, _x.tilt.encoder_rad, _x.tilt.accel.x, _x.tilt.accel.y, _x.tilt.accel.z, _x.tilt.temperature_degC,) = _struct_6f3df.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (self.yaw,) = _struct_f.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def decode(self, s):\",\n \"def decode(self, s):\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.Hlines is None:\\n self.Hlines = None\\n if self.Vlines is None:\\n self.Vlines = None\\n if self.regions is None:\\n self.regions = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 4\\n (_x.image_width, _x.image_height,) = _get_struct_2H().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.Hlines = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Point()\\n _x = val1\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.Hlines.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.Vlines = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Point()\\n _x = val1\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.Vlines.append(val1)\\n start = end\\n end += 2\\n (self.PFPS,) = _get_struct_H().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.regions = []\\n for i in range(0, length):\\n val1 = cooperative_driving_vision.msg.Region()\\n _v3 = val1.color\\n _x = _v3\\n start = end\\n end += 16\\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\\n _v4 = val1.moment\\n _x = _v4\\n start = end\\n end += 40\\n (_x.m00, _x.m10, _x.m01, _x.m11, _x.m20, _x.m02, _x.m21, _x.m12, _x.m30, _x.m03,) = _get_struct_10f().unpack(str[start:end])\\n self.regions.append(val1)\\n _x = self\\n start = end\\n end += 4\\n (_x.box_width, _x.box_height,) = _get_struct_2H().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.c0 is None:\\n self.c0 = bh_motion.msg.Vector3()\\n if self.c1 is None:\\n self.c1 = bh_motion.msg.Vector3()\\n if self.c2 is None:\\n self.c2 = bh_motion.msg.Vector3()\\n end = 0\\n _x = self\\n start = end\\n end += 36\\n (_x.c0.x, _x.c0.y, _x.c0.z, _x.c1.x, _x.c1.y, _x.c1.z, _x.c2.x, _x.c2.y, _x.c2.z,) = _struct_9f.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.des_gripper_pose is None:\\n self.des_gripper_pose = geometry_msgs.msg.PoseStamped()\\n if self.object_pose is None:\\n self.object_pose = geometry_msgs.msg.PoseStamped()\\n end = 0\\n _x = self\\n start = end\\n end += 20\\n (_x.manip_return_code, _x.object_grabber_return_code, _x.des_gripper_pose.header.seq, _x.des_gripper_pose.header.stamp.secs, _x.des_gripper_pose.header.stamp.nsecs,) = _get_struct_2i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.des_gripper_pose.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.des_gripper_pose.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 72\\n (_x.des_gripper_pose.pose.position.x, _x.des_gripper_pose.pose.position.y, _x.des_gripper_pose.pose.position.z, _x.des_gripper_pose.pose.orientation.x, _x.des_gripper_pose.pose.orientation.y, _x.des_gripper_pose.pose.orientation.z, _x.des_gripper_pose.pose.orientation.w, _x.object_finder_return_code, _x.object_pose.header.seq, _x.object_pose.header.stamp.secs, _x.object_pose.header.stamp.nsecs,) = _get_struct_7di3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.object_pose.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.object_pose.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 56\\n (_x.object_pose.pose.position.x, _x.object_pose.pose.position.y, _x.object_pose.pose.position.z, _x.object_pose.pose.orientation.x, _x.object_pose.pose.orientation.y, _x.object_pose.pose.orientation.z, _x.object_pose.pose.orientation.w,) = _get_struct_7d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.obstacleinfo is None:\\n self.obstacleinfo = nubot_common.msg.ObstaclesInfo()\\n if self.oppinfo is None:\\n self.oppinfo = nubot_common.msg.ObstaclesInfo()\\n if self.robotinfo is None:\\n self.robotinfo = None\\n if self.ballinfo is None:\\n self.ballinfo = None\\n if self.coachinfo is None:\\n self.coachinfo = nubot_common.msg.CoachInfo()\\n if self.pass_cmd is None:\\n self.pass_cmd = nubot_common.msg.PassCommands()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.obstacleinfo.header.seq, _x.obstacleinfo.header.stamp.secs, _x.obstacleinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.obstacleinfo.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.obstacleinfo.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.obstacleinfo.pos = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.Point2d()\\n _x = val1\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n self.obstacleinfo.pos.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.obstacleinfo.polar_pos = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.PPoint()\\n _x = val1\\n start = end\\n end += 8\\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\\n self.obstacleinfo.polar_pos.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.oppinfo.header.seq, _x.oppinfo.header.stamp.secs, _x.oppinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.oppinfo.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.oppinfo.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.oppinfo.pos = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.Point2d()\\n _x = val1\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n self.oppinfo.pos.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.oppinfo.polar_pos = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.PPoint()\\n _x = val1\\n start = end\\n end += 8\\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\\n self.oppinfo.polar_pos.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.robotinfo = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.RobotInfo()\\n _v12 = val1.header\\n start = end\\n end += 4\\n (_v12.seq,) = _get_struct_I().unpack(str[start:end])\\n _v13 = _v12.stamp\\n _x = _v13\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v12.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v12.frame_id = str[start:end]\\n _x = val1\\n start = end\\n end += 28\\n (_x.AgentID, _x.targetNum1, _x.targetNum2, _x.targetNum3, _x.targetNum4, _x.staticpassNum, _x.staticcatchNum,) = _get_struct_7i().unpack(str[start:end])\\n _v14 = val1.pos\\n _x = _v14\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n _v15 = val1.heading\\n start = end\\n end += 4\\n (_v15.theta,) = _get_struct_f().unpack(str[start:end])\\n start = end\\n end += 4\\n (val1.vrot,) = _get_struct_f().unpack(str[start:end])\\n _v16 = val1.vtrans\\n _x = _v16\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n _x = val1\\n start = end\\n end += 9\\n (_x.iskick, _x.isvalid, _x.isstuck, _x.isdribble, _x.current_role, _x.role_time,) = _get_struct_5Bf().unpack(str[start:end])\\n val1.iskick = bool(val1.iskick)\\n val1.isvalid = bool(val1.isvalid)\\n val1.isstuck = bool(val1.isstuck)\\n val1.isdribble = bool(val1.isdribble)\\n _v17 = val1.target\\n _x = _v17\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n self.robotinfo.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.ballinfo = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.BallInfo()\\n _v18 = val1.header\\n start = end\\n end += 4\\n (_v18.seq,) = _get_struct_I().unpack(str[start:end])\\n _v19 = _v18.stamp\\n _x = _v19\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v18.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v18.frame_id = str[start:end]\\n start = end\\n end += 4\\n (val1.ballinfostate,) = _get_struct_i().unpack(str[start:end])\\n _v20 = val1.pos\\n _x = _v20\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n _v21 = val1.real_pos\\n _x = _v21\\n start = end\\n end += 8\\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\\n _v22 = val1.velocity\\n _x = _v22\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n _x = val1\\n start = end\\n end += 2\\n (_x.pos_known, _x.velocity_known,) = _get_struct_2B().unpack(str[start:end])\\n val1.pos_known = bool(val1.pos_known)\\n val1.velocity_known = bool(val1.velocity_known)\\n self.ballinfo.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.coachinfo.header.seq, _x.coachinfo.header.stamp.secs, _x.coachinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.coachinfo.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.coachinfo.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 54\\n (_x.coachinfo.MatchMode, _x.coachinfo.MatchType, _x.coachinfo.TestMode, _x.coachinfo.pointA.x, _x.coachinfo.pointA.y, _x.coachinfo.pointB.x, _x.coachinfo.pointB.y, _x.coachinfo.angleA, _x.coachinfo.angleB, _x.coachinfo.idA, _x.coachinfo.idB, _x.coachinfo.kickforce, _x.pass_cmd.pass_id, _x.pass_cmd.catch_id, _x.pass_cmd.pass_pt.x, _x.pass_cmd.pass_pt.y, _x.pass_cmd.catch_pt.x, _x.pass_cmd.catch_pt.y, _x.pass_cmd.is_passout, _x.pass_cmd.is_dynamic_pass, _x.pass_cmd.is_static_pass, _x.pass_cmd.is_valid,) = _get_struct_3B4f2h3B2I4f4B().unpack(str[start:end])\\n self.pass_cmd.is_passout = bool(self.pass_cmd.is_passout)\\n self.pass_cmd.is_dynamic_pass = bool(self.pass_cmd.is_dynamic_pass)\\n self.pass_cmd.is_static_pass = bool(self.pass_cmd.is_static_pass)\\n self.pass_cmd.is_valid = bool(self.pass_cmd.is_valid)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def unpack(msg_bytes):\\n canid, dlc, data = struct.unpack(CANMessage.msg_fmt, msg_bytes)\\n msg = CANMessage(canid, data, dlc)\\n return msg\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n start = end\\n end += 24\\n self.thumb = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.index = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.middle = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.ring = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.little = _get_struct_3d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def _decode_str(self, buf):\\n length = self._decode_vint(buf)\\n result = buf.read(length)\\n if len(result) != length:\\n raise EndOfMessage(True)\\n return result\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 44\\n (_x.date, _x.time, _x.longitude_RTK, _x.latitude_RTK, _x.height_above_sea_RTK, _x.velocity_north, _x.velocity_east, _x.velocity_ground, _x.yaw, _x.position_flag, _x.yaw_flag,) = _struct_2I2d4fh2B.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (self.numberOfTSPTurtles,) = _get_struct_i().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def _to_jsonrpc_obj(self, jsonrpcstr):\\n return jsonrpc.JsonRpcData.parse(jsonrpcstr)\",\n \"def deserialize(self, str):\\n try:\\n if self.base is None:\\n self.base = rwrc12_msgs.msg.CellBase()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.base.header.seq, _x.base.header.stamp.secs, _x.base.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.base.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.base.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 20\\n (_x.base.cell_width, _x.base.cell_height, _x.base.position.x, _x.base.position.y, _x.base.position.z,) = _struct_5f.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.base.points = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Point32()\\n _x = val1\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\\n self.base.points.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.base.intensity = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 1\\n (self.base.cost,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.base.label = str[start:end].decode('utf-8')\\n else:\\n self.base.label = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.mean_height, _x.mean_intensity,) = _struct_2f.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def loads(msg, encoding=None, raw=False):\\n try:\\n\\n def ext_type_decoder(code, data):\\n if code == 78:\\n data = salt.utils.stringutils.to_unicode(data)\\n return datetime.datetime.strptime(data, \\\"%Y%m%dT%H:%M:%S.%f\\\")\\n if code == 79:\\n name, value = salt.utils.msgpack.loads(data, raw=False)\\n return _Constant(name, value)\\n return data\\n\\n gc.disable() # performance optimization for msgpack\\n loads_kwargs = {\\\"use_list\\\": True, \\\"ext_hook\\\": ext_type_decoder}\\n if salt.utils.msgpack.version >= (0, 4, 0):\\n # msgpack only supports 'encoding' starting in 0.4.0.\\n # Due to this, if we don't need it, don't pass it at all so\\n # that under Python 2 we can still work with older versions\\n # of msgpack.\\n if salt.utils.msgpack.version >= (0, 5, 2):\\n if encoding is None:\\n loads_kwargs[\\\"raw\\\"] = True\\n else:\\n loads_kwargs[\\\"raw\\\"] = False\\n else:\\n loads_kwargs[\\\"encoding\\\"] = encoding\\n try:\\n ret = salt.utils.msgpack.unpackb(msg, **loads_kwargs)\\n except UnicodeDecodeError:\\n # msg contains binary data\\n loads_kwargs.pop(\\\"raw\\\", None)\\n loads_kwargs.pop(\\\"encoding\\\", None)\\n ret = salt.utils.msgpack.loads(msg, **loads_kwargs)\\n else:\\n ret = salt.utils.msgpack.loads(msg, **loads_kwargs)\\n if encoding is None and not raw:\\n ret = salt.transport.frame.decode_embedded_strs(ret)\\n except Exception as exc: # pylint: disable=broad-except\\n log.critical(\\n \\\"Could not deserialize msgpack message. This often happens \\\"\\n \\\"when trying to read a file not in binary mode. \\\"\\n \\\"To see message payload, enable debug logging and retry. \\\"\\n \\\"Exception: %s\\\",\\n exc,\\n )\\n log.debug(\\\"Msgpack deserialization failure on message: %s\\\", msg)\\n exc_msg = \\\"Could not deserialize msgpack message. See log for more info.\\\"\\n raise SaltDeserializationError(exc_msg) from exc\\n finally:\\n gc.enable()\\n return ret\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 152\\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _struct_2d2q14dq.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.msg = str[start:end].decode('utf-8')\\n else:\\n self.msg = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.robot_id is None:\\n self.robot_id = opil_v2.msg.Id()\\n if self.agv_msg is None:\\n self.agv_msg = opil_v2.msg.RobotDescriptionAGV()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.robot_id.id,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.robot_id.description = str[start:end].decode('utf-8')\\n else:\\n self.robot_id.description = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.agv_msg.header.seq, _x.agv_msg.header.stamp.secs, _x.agv_msg.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.agv_msg.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.agv_msg.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.agv_msg.vehicle_id.id,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.agv_msg.vehicle_id.description = str[start:end].decode('utf-8')\\n else:\\n self.agv_msg.vehicle_id.description = str[start:end]\\n _x = self\\n start = end\\n end += 84\\n (_x.agv_msg.left_size, _x.agv_msg.right_size, _x.agv_msg.front_size, _x.agv_msg.rear_size, _x.agv_msg.min_height, _x.agv_msg.max_height, _x.agv_msg.payload, _x.agv_msg.max_pos_x_vel, _x.agv_msg.max_neg_x_vel, _x.agv_msg.max_pos_x_acc, _x.agv_msg.max_neg_x_acc, _x.agv_msg.max_pos_y_vel, _x.agv_msg.max_neg_y_vel, _x.agv_msg.max_pos_y_acc, _x.agv_msg.max_neg_y_acc, _x.agv_msg.max_pos_ang_vel, _x.agv_msg.max_neg_ang_vel, _x.agv_msg.velocity_control_sensitivity, _x.agv_msg.min_turning_radius, _x.agv_msg.batt_capacity, _x.agv_msg.batt_max_voltage,) = _get_struct_21f().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.agv_msg.vehicle_type = str[start:end].decode('utf-8')\\n else:\\n self.agv_msg.vehicle_type = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.agv_msg.vendor = str[start:end].decode('utf-8')\\n else:\\n self.agv_msg.vendor = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.agv_msg.action_capability = []\\n for i in range(0, length):\\n val1 = opil_v2.msg.RobotAction()\\n _x = val1\\n start = end\\n end += 2\\n (_x.category, _x.action,) = _get_struct_2B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.attributes = []\\n for i in range(0, length):\\n val2 = opil_v2.msg.Tuple()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.type = str[start:end].decode('utf-8')\\n else:\\n val2.type = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.value = str[start:end].decode('utf-8')\\n else:\\n val2.value = str[start:end]\\n val1.attributes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.description = str[start:end].decode('utf-8')\\n else:\\n val1.description = str[start:end]\\n self.agv_msg.action_capability.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.p1 is None:\\n self.p1 = geometry_msgs.msg.PointStamped()\\n if self.p2 is None:\\n self.p2 = geometry_msgs.msg.PointStamped()\\n if self.p3 is None:\\n self.p3 = geometry_msgs.msg.PointStamped()\\n if self.p4 is None:\\n self.p4 = geometry_msgs.msg.PointStamped()\\n end = 0\\n _x = self\\n start = end\\n end += 16\\n (_x.s1, _x.s2, _x.s3, _x.s4, _x.p1.header.seq, _x.p1.header.stamp.secs, _x.p1.header.stamp.nsecs,) = _struct_4B3I.unpack(str[start:end])\\n self.s1 = bool(self.s1)\\n self.s2 = bool(self.s2)\\n self.s3 = bool(self.s3)\\n self.s4 = bool(self.s4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.p1.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.p1.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 36\\n (_x.p1.point.x, _x.p1.point.y, _x.p1.point.z, _x.p2.header.seq, _x.p2.header.stamp.secs, _x.p2.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.p2.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.p2.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 36\\n (_x.p2.point.x, _x.p2.point.y, _x.p2.point.z, _x.p3.header.seq, _x.p3.header.stamp.secs, _x.p3.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.p3.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.p3.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 36\\n (_x.p3.point.x, _x.p3.point.y, _x.p3.point.z, _x.p4.header.seq, _x.p4.header.stamp.secs, _x.p4.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.p4.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.p4.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 24\\n (_x.p4.point.x, _x.p4.point.y, _x.p4.point.z,) = _struct_3d.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, message):\\n # Removes the random prefix\\n message = message[12:]\\n message = message.decode(\\\"utf-8\\\")\\n\\n if self.crypter:\\n message = self.crypter.decrypt(message, self.expiry + 10)\\n return json.loads(message)\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.polygons is None:\\n self.polygons = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.polygons = []\\n for i in range(0, length):\\n val1 = cob_3d_mapping_msgs.msg.CurvedPolygon()\\n _v2 = val1.stamp\\n _x = _v2\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (val1.ID,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += 24\\n val1.parameter = _struct_6f.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.score = []\\n for i in range(0, length):\\n val2 = cob_3d_mapping_msgs.msg.SimilarityScore()\\n _x = val2\\n start = end\\n end += 8\\n (_x.ID, _x.prob,) = _struct_If.unpack(str[start:end])\\n val1.score.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.polyline = []\\n for i in range(0, length):\\n val2 = cob_3d_mapping_msgs.msg.PolylinePoint()\\n _x = val2\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.edge_prob,) = _struct_3f.unpack(str[start:end])\\n val1.polyline.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.features = []\\n for i in range(0, length):\\n val2 = cob_3d_mapping_msgs.msg.Feature()\\n _x = val2\\n start = end\\n end += 16\\n (_x.x, _x.y, _x.z, _x.ID,) = _struct_3fI.unpack(str[start:end])\\n val1.features.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.energy = str[start:end].decode('utf-8')\\n else:\\n val1.energy = str[start:end]\\n start = end\\n end += 4\\n (val1.weight,) = _struct_f.unpack(str[start:end])\\n self.polygons.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 142\\n (_x.Timestamp_sec, _x.Timestamp_nsec, _x.Roll, _x.Pitch, _x.Yaw, _x.Wx, _x.Wy, _x.Wz, _x.AcelX, _x.AcelY, _x.AcelZ, _x.VelN, _x.VelE, _x.VelZ, _x.GPSLong, _x.GPSLat, _x.GPSAlt, _x.Temp, _x.IMUTime, _x.BITStatus,) = _get_struct_2i16dih().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n start = end\\n end += 8\\n (self.time,) = _get_struct_d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.q_target = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.qd_target = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.qdd_target = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.i_target = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.m_target = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.q_actual = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.qd_actual = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.i_actual = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tool_acc_values = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tcp_force = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tool_vector = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tcp_speed = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 8\\n (self.digital_input_bits,) = _get_struct_d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_temperatures = struct.unpack(pattern, str[start:end])\\n _x = self\\n start = end\\n end += 24\\n (_x.controller_timer, _x.test_value, _x.robot_mode,) = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.joint_modes = struct.unpack(pattern, str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.health, _x.utcA0, _x.utcA1, _x.utcTOW, _x.utcWNT, _x.utcLS, _x.utcWNF, _x.utcDN, _x.utcLSF, _x.utcSpare, _x.klobA0, _x.klobA1, _x.klobA2, _x.klobA3, _x.klobB0, _x.klobB1, _x.klobB2, _x.klobB3, _x.flags,) = _get_struct_I2di6h8fI().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, payload: str) -> object:\\n raise NotImplementedError()\",\n \"def deserialize(self, str):\\n try:\\n if self.accelerometer is None:\\n self.accelerometer = None\\n if self.gyro is None:\\n self.gyro = None\\n if self.orientation is None:\\n self.orientation = None\\n if self.led_color is None:\\n self.led_color = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.name.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.position = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.velocity = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.effort = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.position_command = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.velocity_command = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.effort_command = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.accelerometer = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Vector3()\\n _x = val1\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.accelerometer.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.gyro = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Vector3()\\n _x = val1\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.gyro.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.orientation = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Quaternion()\\n _x = val1\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n self.orientation.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.deflection = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.deflection_velocity = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_velocity = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_current = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_winding_current = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_sensor_temperature = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_winding_temperature = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_housing_temperature = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.board_temperature = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.processor_temperature = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.voltage = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.led_color = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.ColorRGBA()\\n _x = val1\\n start = end\\n end += 16\\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\\n self.led_color.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.sequence_number = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.receive_time = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.transmit_time = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.hardware_receive_time = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.hardware_transmit_time = struct.unpack(pattern, str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.goal_id is None:\\n self.goal_id = actionlib_msgs.msg.GoalID()\\n if self.goal is None:\\n self.goal = moveit_msgs.msg.MoveGroupGoal()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal_id.id = str[start:end].decode('utf-8')\\n else:\\n self.goal_id.id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.request.workspace_parameters.header.seq, _x.goal.request.workspace_parameters.header.stamp.secs, _x.goal.request.workspace_parameters.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.workspace_parameters.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.workspace_parameters.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 60\\n (_x.goal.request.workspace_parameters.min_corner.x, _x.goal.request.workspace_parameters.min_corner.y, _x.goal.request.workspace_parameters.min_corner.z, _x.goal.request.workspace_parameters.max_corner.x, _x.goal.request.workspace_parameters.max_corner.y, _x.goal.request.workspace_parameters.max_corner.z, _x.goal.request.start_state.joint_state.header.seq, _x.goal.request.start_state.joint_state.header.stamp.secs, _x.goal.request.start_state.joint_state.header.stamp.nsecs,) = _get_struct_6d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.start_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.start_state.joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.joint_state.name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.request.start_state.joint_state.name.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.request.start_state.joint_state.position = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.request.start_state.joint_state.velocity = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.request.start_state.joint_state.effort = struct.unpack(pattern, str[start:end])\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.request.start_state.multi_dof_joint_state.header.seq, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.secs, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.start_state.multi_dof_joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.start_state.multi_dof_joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.request.start_state.multi_dof_joint_state.joint_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.transforms = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Transform()\\n _v149 = val1.translation\\n _x = _v149\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v150 = val1.rotation\\n _x = _v150\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.transforms.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.twist = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Twist()\\n _v151 = val1.linear\\n _x = _v151\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v152 = val1.angular\\n _x = _v152\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.twist.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.wrench = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Wrench()\\n _v153 = val1.force\\n _x = _v153\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v154 = val1.torque\\n _x = _v154\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.wrench.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.attached_collision_objects = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.AttachedCollisionObject()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _v155 = val1.object\\n _v156 = _v155.header\\n start = end\\n end += 4\\n (_v156.seq,) = _get_struct_I().unpack(str[start:end])\\n _v157 = _v156.stamp\\n _x = _v157\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v156.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v156.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v155.id = str[start:end].decode('utf-8')\\n else:\\n _v155.id = str[start:end]\\n _v158 = _v155.type\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v158.key = str[start:end].decode('utf-8')\\n else:\\n _v158.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v158.db = str[start:end].decode('utf-8')\\n else:\\n _v158.db = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v155.primitives = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val3.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.dimensions = struct.unpack(pattern, str[start:end])\\n _v155.primitives.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v155.primitive_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v159 = val3.position\\n _x = _v159\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v160 = val3.orientation\\n _x = _v160\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v155.primitive_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v155.meshes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.triangles = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val4.vertex_indices = _get_struct_3I().unpack(str[start:end])\\n val3.triangles.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.vertices = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Point()\\n _x = val4\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val3.vertices.append(val4)\\n _v155.meshes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v155.mesh_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v161 = val3.position\\n _x = _v161\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v162 = val3.orientation\\n _x = _v162\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v155.mesh_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v155.planes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Plane()\\n start = end\\n end += 32\\n val3.coef = _get_struct_4d().unpack(str[start:end])\\n _v155.planes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v155.plane_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v163 = val3.position\\n _x = _v163\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v164 = val3.orientation\\n _x = _v164\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v155.plane_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v155.subframe_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n _v155.subframe_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v155.subframe_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v165 = val3.position\\n _x = _v165\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v166 = val3.orientation\\n _x = _v166\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v155.subframe_poses.append(val3)\\n start = end\\n end += 1\\n (_v155.operation,) = _get_struct_b().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.touch_links = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.touch_links.append(val2)\\n _v167 = val1.detach_posture\\n _v168 = _v167.header\\n start = end\\n end += 4\\n (_v168.seq,) = _get_struct_I().unpack(str[start:end])\\n _v169 = _v168.stamp\\n _x = _v169\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v168.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v168.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v167.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n _v167.joint_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v167.points = []\\n for i in range(0, length):\\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.positions = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.velocities = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.accelerations = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.effort = struct.unpack(pattern, str[start:end])\\n _v170 = val3.time_from_start\\n _x = _v170\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\\n _v167.points.append(val3)\\n start = end\\n end += 8\\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\\n self.goal.request.start_state.attached_collision_objects.append(val1)\\n start = end\\n end += 1\\n (self.goal.request.start_state.is_diff,) = _get_struct_B().unpack(str[start:end])\\n self.goal.request.start_state.is_diff = bool(self.goal.request.start_state.is_diff)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.goal_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.Constraints()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.joint_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.JointConstraint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.joint_name = str[start:end].decode('utf-8')\\n else:\\n val2.joint_name = str[start:end]\\n _x = val2\\n start = end\\n end += 32\\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n val1.joint_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.position_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.PositionConstraint()\\n _v171 = val2.header\\n start = end\\n end += 4\\n (_v171.seq,) = _get_struct_I().unpack(str[start:end])\\n _v172 = _v171.stamp\\n _x = _v172\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v171.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v171.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.link_name = str[start:end].decode('utf-8')\\n else:\\n val2.link_name = str[start:end]\\n _v173 = val2.target_point_offset\\n _x = _v173\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v174 = val2.constraint_region\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v174.primitives = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val4.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val4.dimensions = struct.unpack(pattern, str[start:end])\\n _v174.primitives.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v174.primitive_poses = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Pose()\\n _v175 = val4.position\\n _x = _v175\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v176 = val4.orientation\\n _x = _v176\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v174.primitive_poses.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v174.meshes = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val4.triangles = []\\n for i in range(0, length):\\n val5 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val5.vertex_indices = _get_struct_3I().unpack(str[start:end])\\n val4.triangles.append(val5)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val4.vertices = []\\n for i in range(0, length):\\n val5 = geometry_msgs.msg.Point()\\n _x = val5\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val4.vertices.append(val5)\\n _v174.meshes.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v174.mesh_poses = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Pose()\\n _v177 = val4.position\\n _x = _v177\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v178 = val4.orientation\\n _x = _v178\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v174.mesh_poses.append(val4)\\n start = end\\n end += 8\\n (val2.weight,) = _get_struct_d().unpack(str[start:end])\\n val1.position_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.orientation_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.OrientationConstraint()\\n _v179 = val2.header\\n start = end\\n end += 4\\n (_v179.seq,) = _get_struct_I().unpack(str[start:end])\\n _v180 = _v179.stamp\\n _x = _v180\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v179.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v179.frame_id = str[start:end]\\n _v181 = val2.orientation\\n _x = _v181\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.link_name = str[start:end].decode('utf-8')\\n else:\\n val2.link_name = str[start:end]\\n _x = val2\\n start = end\\n end += 32\\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n val1.orientation_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.visibility_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.VisibilityConstraint()\\n start = end\\n end += 8\\n (val2.target_radius,) = _get_struct_d().unpack(str[start:end])\\n _v182 = val2.target_pose\\n _v183 = _v182.header\\n start = end\\n end += 4\\n (_v183.seq,) = _get_struct_I().unpack(str[start:end])\\n _v184 = _v183.stamp\\n _x = _v184\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v183.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v183.frame_id = str[start:end]\\n _v185 = _v182.pose\\n _v186 = _v185.position\\n _x = _v186\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v187 = _v185.orientation\\n _x = _v187\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val2.cone_sides,) = _get_struct_i().unpack(str[start:end])\\n _v188 = val2.sensor_pose\\n _v189 = _v188.header\\n start = end\\n end += 4\\n (_v189.seq,) = _get_struct_I().unpack(str[start:end])\\n _v190 = _v189.stamp\\n _x = _v190\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v189.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v189.frame_id = str[start:end]\\n _v191 = _v188.pose\\n _v192 = _v191.position\\n _x = _v192\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v193 = _v191.orientation\\n _x = _v193\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _x = val2\\n start = end\\n end += 25\\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\\n val1.visibility_constraints.append(val2)\\n self.goal.request.goal_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.path_constraints.name = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.path_constraints.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.path_constraints.joint_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.JointConstraint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.joint_name = str[start:end].decode('utf-8')\\n else:\\n val1.joint_name = str[start:end]\\n _x = val1\\n start = end\\n end += 32\\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.request.path_constraints.joint_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.path_constraints.position_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.PositionConstraint()\\n _v194 = val1.header\\n start = end\\n end += 4\\n (_v194.seq,) = _get_struct_I().unpack(str[start:end])\\n _v195 = _v194.stamp\\n _x = _v195\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v194.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v194.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _v196 = val1.target_point_offset\\n _x = _v196\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v197 = val1.constraint_region\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v197.primitives = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val3.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.dimensions = struct.unpack(pattern, str[start:end])\\n _v197.primitives.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v197.primitive_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v198 = val3.position\\n _x = _v198\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v199 = val3.orientation\\n _x = _v199\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v197.primitive_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v197.meshes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.triangles = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val4.vertex_indices = _get_struct_3I().unpack(str[start:end])\\n val3.triangles.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.vertices = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Point()\\n _x = val4\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val3.vertices.append(val4)\\n _v197.meshes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v197.mesh_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v200 = val3.position\\n _x = _v200\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v201 = val3.orientation\\n _x = _v201\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v197.mesh_poses.append(val3)\\n start = end\\n end += 8\\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\\n self.goal.request.path_constraints.position_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.path_constraints.orientation_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.OrientationConstraint()\\n _v202 = val1.header\\n start = end\\n end += 4\\n (_v202.seq,) = _get_struct_I().unpack(str[start:end])\\n _v203 = _v202.stamp\\n _x = _v203\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v202.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v202.frame_id = str[start:end]\\n _v204 = val1.orientation\\n _x = _v204\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _x = val1\\n start = end\\n end += 32\\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.request.path_constraints.orientation_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.path_constraints.visibility_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.VisibilityConstraint()\\n start = end\\n end += 8\\n (val1.target_radius,) = _get_struct_d().unpack(str[start:end])\\n _v205 = val1.target_pose\\n _v206 = _v205.header\\n start = end\\n end += 4\\n (_v206.seq,) = _get_struct_I().unpack(str[start:end])\\n _v207 = _v206.stamp\\n _x = _v207\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v206.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v206.frame_id = str[start:end]\\n _v208 = _v205.pose\\n _v209 = _v208.position\\n _x = _v209\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v210 = _v208.orientation\\n _x = _v210\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val1.cone_sides,) = _get_struct_i().unpack(str[start:end])\\n _v211 = val1.sensor_pose\\n _v212 = _v211.header\\n start = end\\n end += 4\\n (_v212.seq,) = _get_struct_I().unpack(str[start:end])\\n _v213 = _v212.stamp\\n _x = _v213\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v212.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v212.frame_id = str[start:end]\\n _v214 = _v211.pose\\n _v215 = _v214.position\\n _x = _v215\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v216 = _v214.orientation\\n _x = _v216\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _x = val1\\n start = end\\n end += 25\\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\\n self.goal.request.path_constraints.visibility_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.trajectory_constraints.constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.Constraints()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.joint_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.JointConstraint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.joint_name = str[start:end].decode('utf-8')\\n else:\\n val2.joint_name = str[start:end]\\n _x = val2\\n start = end\\n end += 32\\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n val1.joint_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.position_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.PositionConstraint()\\n _v217 = val2.header\\n start = end\\n end += 4\\n (_v217.seq,) = _get_struct_I().unpack(str[start:end])\\n _v218 = _v217.stamp\\n _x = _v218\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v217.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v217.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.link_name = str[start:end].decode('utf-8')\\n else:\\n val2.link_name = str[start:end]\\n _v219 = val2.target_point_offset\\n _x = _v219\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v220 = val2.constraint_region\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v220.primitives = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val4.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val4.dimensions = struct.unpack(pattern, str[start:end])\\n _v220.primitives.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v220.primitive_poses = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Pose()\\n _v221 = val4.position\\n _x = _v221\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v222 = val4.orientation\\n _x = _v222\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v220.primitive_poses.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v220.meshes = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val4.triangles = []\\n for i in range(0, length):\\n val5 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val5.vertex_indices = _get_struct_3I().unpack(str[start:end])\\n val4.triangles.append(val5)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val4.vertices = []\\n for i in range(0, length):\\n val5 = geometry_msgs.msg.Point()\\n _x = val5\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val4.vertices.append(val5)\\n _v220.meshes.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v220.mesh_poses = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Pose()\\n _v223 = val4.position\\n _x = _v223\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v224 = val4.orientation\\n _x = _v224\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v220.mesh_poses.append(val4)\\n start = end\\n end += 8\\n (val2.weight,) = _get_struct_d().unpack(str[start:end])\\n val1.position_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.orientation_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.OrientationConstraint()\\n _v225 = val2.header\\n start = end\\n end += 4\\n (_v225.seq,) = _get_struct_I().unpack(str[start:end])\\n _v226 = _v225.stamp\\n _x = _v226\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v225.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v225.frame_id = str[start:end]\\n _v227 = val2.orientation\\n _x = _v227\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.link_name = str[start:end].decode('utf-8')\\n else:\\n val2.link_name = str[start:end]\\n _x = val2\\n start = end\\n end += 32\\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n val1.orientation_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.visibility_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.VisibilityConstraint()\\n start = end\\n end += 8\\n (val2.target_radius,) = _get_struct_d().unpack(str[start:end])\\n _v228 = val2.target_pose\\n _v229 = _v228.header\\n start = end\\n end += 4\\n (_v229.seq,) = _get_struct_I().unpack(str[start:end])\\n _v230 = _v229.stamp\\n _x = _v230\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v229.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v229.frame_id = str[start:end]\\n _v231 = _v228.pose\\n _v232 = _v231.position\\n _x = _v232\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v233 = _v231.orientation\\n _x = _v233\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val2.cone_sides,) = _get_struct_i().unpack(str[start:end])\\n _v234 = val2.sensor_pose\\n _v235 = _v234.header\\n start = end\\n end += 4\\n (_v235.seq,) = _get_struct_I().unpack(str[start:end])\\n _v236 = _v235.stamp\\n _x = _v236\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v235.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v235.frame_id = str[start:end]\\n _v237 = _v234.pose\\n _v238 = _v237.position\\n _x = _v238\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v239 = _v237.orientation\\n _x = _v239\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _x = val2\\n start = end\\n end += 25\\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\\n val1.visibility_constraints.append(val2)\\n self.goal.request.trajectory_constraints.constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.reference_trajectories = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.GenericTrajectory()\\n _v240 = val1.header\\n start = end\\n end += 4\\n (_v240.seq,) = _get_struct_I().unpack(str[start:end])\\n _v241 = _v240.stamp\\n _x = _v241\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v240.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v240.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.joint_trajectory = []\\n for i in range(0, length):\\n val2 = trajectory_msgs.msg.JointTrajectory()\\n _v242 = val2.header\\n start = end\\n end += 4\\n (_v242.seq,) = _get_struct_I().unpack(str[start:end])\\n _v243 = _v242.stamp\\n _x = _v243\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v242.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v242.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.joint_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.points = []\\n for i in range(0, length):\\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.positions = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.velocities = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.accelerations = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.effort = struct.unpack(pattern, str[start:end])\\n _v244 = val3.time_from_start\\n _x = _v244\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\\n val2.points.append(val3)\\n val1.joint_trajectory.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.cartesian_trajectory = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.CartesianTrajectory()\\n _v245 = val2.header\\n start = end\\n end += 4\\n (_v245.seq,) = _get_struct_I().unpack(str[start:end])\\n _v246 = _v245.stamp\\n _x = _v246\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v245.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v245.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.tracked_frame = str[start:end].decode('utf-8')\\n else:\\n val2.tracked_frame = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.points = []\\n for i in range(0, length):\\n val3 = moveit_msgs.msg.CartesianTrajectoryPoint()\\n _v247 = val3.point\\n _v248 = _v247.pose\\n _v249 = _v248.position\\n _x = _v249\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v250 = _v248.orientation\\n _x = _v250\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v251 = _v247.velocity\\n _v252 = _v251.linear\\n _x = _v252\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v253 = _v251.angular\\n _x = _v253\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v254 = _v247.acceleration\\n _v255 = _v254.linear\\n _x = _v255\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v256 = _v254.angular\\n _x = _v256\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v257 = val3.time_from_start\\n _x = _v257\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\\n val2.points.append(val3)\\n val1.cartesian_trajectory.append(val2)\\n self.goal.request.reference_trajectories.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.planner_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.planner_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.group_name = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.group_name = str[start:end]\\n _x = self\\n start = end\\n end += 28\\n (_x.goal.request.num_planning_attempts, _x.goal.request.allowed_planning_time, _x.goal.request.max_velocity_scaling_factor, _x.goal.request.max_acceleration_scaling_factor,) = _get_struct_i3d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.name = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.name = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.position = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.velocity = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.effort = struct.unpack(pattern, str[start:end])\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Transform()\\n _v258 = val1.translation\\n _x = _v258\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v259 = val1.rotation\\n _x = _v259\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Twist()\\n _v260 = val1.linear\\n _x = _v260\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v261 = val1.angular\\n _x = _v261\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Wrench()\\n _v262 = val1.force\\n _x = _v262\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v263 = val1.torque\\n _x = _v263\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.AttachedCollisionObject()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _v264 = val1.object\\n _v265 = _v264.header\\n start = end\\n end += 4\\n (_v265.seq,) = _get_struct_I().unpack(str[start:end])\\n _v266 = _v265.stamp\\n _x = _v266\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v265.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v265.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v264.id = str[start:end].decode('utf-8')\\n else:\\n _v264.id = str[start:end]\\n _v267 = _v264.type\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v267.key = str[start:end].decode('utf-8')\\n else:\\n _v267.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v267.db = str[start:end].decode('utf-8')\\n else:\\n _v267.db = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v264.primitives = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val3.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.dimensions = struct.unpack(pattern, str[start:end])\\n _v264.primitives.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v264.primitive_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v268 = val3.position\\n _x = _v268\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v269 = val3.orientation\\n _x = _v269\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v264.primitive_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v264.meshes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.triangles = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val4.vertex_indices = _get_struct_3I().unpack(str[start:end])\\n val3.triangles.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.vertices = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Point()\\n _x = val4\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val3.vertices.append(val4)\\n _v264.meshes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v264.mesh_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v270 = val3.position\\n _x = _v270\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v271 = val3.orientation\\n _x = _v271\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v264.mesh_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v264.planes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Plane()\\n start = end\\n end += 32\\n val3.coef = _get_struct_4d().unpack(str[start:end])\\n _v264.planes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v264.plane_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v272 = val3.position\\n _x = _v272\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v273 = val3.orientation\\n _x = _v273\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v264.plane_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v264.subframe_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n _v264.subframe_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v264.subframe_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v274 = val3.position\\n _x = _v274\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v275 = val3.orientation\\n _x = _v275\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v264.subframe_poses.append(val3)\\n start = end\\n end += 1\\n (_v264.operation,) = _get_struct_b().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.touch_links = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.touch_links.append(val2)\\n _v276 = val1.detach_posture\\n _v277 = _v276.header\\n start = end\\n end += 4\\n (_v277.seq,) = _get_struct_I().unpack(str[start:end])\\n _v278 = _v277.stamp\\n _x = _v278\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v277.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v277.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v276.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n _v276.joint_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v276.points = []\\n for i in range(0, length):\\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.positions = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.velocities = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.accelerations = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.effort = struct.unpack(pattern, str[start:end])\\n _v279 = val3.time_from_start\\n _x = _v279\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\\n _v276.points.append(val3)\\n start = end\\n end += 8\\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects.append(val1)\\n start = end\\n end += 1\\n (self.goal.planning_options.planning_scene_diff.robot_state.is_diff,) = _get_struct_B().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.is_diff = bool(self.goal.planning_options.planning_scene_diff.robot_state.is_diff)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.robot_model_name = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.robot_model_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.fixed_frame_transforms = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.TransformStamped()\\n _v280 = val1.header\\n start = end\\n end += 4\\n (_v280.seq,) = _get_struct_I().unpack(str[start:end])\\n _v281 = _v280.stamp\\n _x = _v281\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v280.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v280.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.child_frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.child_frame_id = str[start:end]\\n _v282 = val1.transform\\n _v283 = _v282.translation\\n _x = _v283\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v284 = _v282.rotation\\n _x = _v284\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.fixed_frame_transforms.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.AllowedCollisionEntry()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sB'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.enabled = struct.unpack(pattern, str[start:end])\\n val1.enabled = map(bool, val1.enabled)\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sB'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values = struct.unpack(pattern, str[start:end])\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values = map(bool, self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.link_padding = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.LinkPadding()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n start = end\\n end += 8\\n (val1.padding,) = _get_struct_d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.link_padding.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.link_scale = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.LinkScale()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n start = end\\n end += 8\\n (val1.scale,) = _get_struct_d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.link_scale.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.object_colors = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.ObjectColor()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n _v285 = val1.color\\n _x = _v285\\n start = end\\n end += 16\\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.object_colors.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.world.collision_objects = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.CollisionObject()\\n _v286 = val1.header\\n start = end\\n end += 4\\n (_v286.seq,) = _get_struct_I().unpack(str[start:end])\\n _v287 = _v286.stamp\\n _x = _v287\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v286.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v286.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n _v288 = val1.type\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v288.key = str[start:end].decode('utf-8')\\n else:\\n _v288.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v288.db = str[start:end].decode('utf-8')\\n else:\\n _v288.db = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.primitives = []\\n for i in range(0, length):\\n val2 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val2.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val2.dimensions = struct.unpack(pattern, str[start:end])\\n val1.primitives.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.primitive_poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v289 = val2.position\\n _x = _v289\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v290 = val2.orientation\\n _x = _v290\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n val1.primitive_poses.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.meshes = []\\n for i in range(0, length):\\n val2 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.triangles = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val3.vertex_indices = _get_struct_3I().unpack(str[start:end])\\n val2.triangles.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.vertices = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Point()\\n _x = val3\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val2.vertices.append(val3)\\n val1.meshes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.mesh_poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v291 = val2.position\\n _x = _v291\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v292 = val2.orientation\\n _x = _v292\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n val1.mesh_poses.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.planes = []\\n for i in range(0, length):\\n val2 = shape_msgs.msg.Plane()\\n start = end\\n end += 32\\n val2.coef = _get_struct_4d().unpack(str[start:end])\\n val1.planes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.plane_poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v293 = val2.position\\n _x = _v293\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v294 = val2.orientation\\n _x = _v294\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n val1.plane_poses.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.subframe_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.subframe_names.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.subframe_poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v295 = val2.position\\n _x = _v295\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v296 = val2.orientation\\n _x = _v296\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n val1.subframe_poses.append(val2)\\n start = end\\n end += 1\\n (val1.operation,) = _get_struct_b().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.world.collision_objects.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.planning_options.planning_scene_diff.world.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.w, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id = str[start:end]\\n start = end\\n end += 1\\n (self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary,) = _get_struct_B().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary = bool(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id = str[start:end]\\n start = end\\n end += 8\\n (self.goal.planning_options.planning_scene_diff.world.octomap.octomap.resolution,) = _get_struct_d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sb'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.data = struct.unpack(pattern, str[start:end])\\n _x = self\\n start = end\\n end += 28\\n (_x.goal.planning_options.planning_scene_diff.is_diff, _x.goal.planning_options.plan_only, _x.goal.planning_options.look_around, _x.goal.planning_options.look_around_attempts, _x.goal.planning_options.max_safe_execution_cost, _x.goal.planning_options.replan, _x.goal.planning_options.replan_attempts, _x.goal.planning_options.replan_delay,) = _get_struct_3BidBid().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.is_diff = bool(self.goal.planning_options.planning_scene_diff.is_diff)\\n self.goal.planning_options.plan_only = bool(self.goal.planning_options.plan_only)\\n self.goal.planning_options.look_around = bool(self.goal.planning_options.look_around)\\n self.goal.planning_options.replan = bool(self.goal.planning_options.replan)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def from_bytes(self, bytearr):\\n if len(bytearr) >= SensorMessage.BYTE_LENGTH:\\n if len(bytearr) > SensorMessage.BYTE_LENGTH:\\n bytearr = bytearr[:SensorMessage.BYTE_LENGTH+1]\\n if bytearr[0] == \\\"\\\\xca\\\" and bytearr[1] == \\\"\\\\x55\\\":\\n # Checksum checking is taken care of at RF module.\\n #if self.calc_checksum(bytearr[:-1]) == ord(bytearr[-1]):\\n self.address = bytearr[2:7]\\n try:\\n (self.errorflags,\\n self.temperature,\\n self.humidity,\\n self.supply_v,\\n self.link_quality,\\n self.message_id) = struct.unpack(\\\">BHHHBH\\\", bytearr[7:17])\\n except:\\n print \\\"Failed to unpack message: \\\" + format_hex(bytearr[7:])\\n #else:\\n # raise ValueError(\\\"Incorrect checksum: Given: \\\" + repr(ord(bytearr[-1])) + \\\", calc.: \\\" + repr(self.calc_checksum(bytearr[:-1])))\\n else:\\n raise ValueError(\\\"Incorrect message header!\\\")\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.Class = str[start:end].decode('utf-8')\\n else:\\n self.Class = str[start:end]\\n _x = self\\n start = end\\n end += 40\\n (_x.probability, _x.xmin, _x.ymin, _x.xmax, _x.ymax,) = _get_struct_d4q().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_elem(self, elem_str):\\n raise NotImplementedError()\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.name = str[start:end].decode('utf-8')\\n else:\\n self.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.red_u = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.red_v = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.yellow_u = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.yellow_v = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.green_u = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.green_v = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.purple_u = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.purple_v = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.orange_u = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.orange_v = struct.unpack(pattern, str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def fromString(line: Union[bytes, str]) -> SBSMessage:\\n if isinstance(line, bytes):\\n line = line.decode()\\n\\n values = line.rstrip(DELIMITER).split(\\\",\\\")\\n\\n if len(FieldNames) != len(values):\\n raise Exception(\\n \\\"Incorrect number of msg fields. \\\"\\n f\\\"Expected {len(FieldNames)}, got {len(values)}. \\\"\\n f\\\"values={values}, line={line}\\\"\\n )\\n\\n attrs = {}\\n for k, v in zip(FieldNames, values):\\n v = v.strip() # remove any surrounding spaces\\n if v:\\n # perform type conversion if necessary\\n if k in IntegerFields:\\n v = int(v)\\n elif k in FloatFields:\\n v = float(v)\\n elif k in BooleanFields:\\n v = True if v == \\\"1\\\" else False\\n elif k in DateFields:\\n Y, M, D = [int(i) for i in v.split(\\\"/\\\")]\\n v = datetime.date(Y, M, D)\\n elif k in TimeFields:\\n H, M, S = v.split(\\\":\\\")\\n S, F = S.split(\\\".\\\")\\n microsecond = int(int(F) * 1e3)\\n v = datetime.time(\\n hour=int(H), minute=int(M), second=int(S), microsecond=microsecond\\n )\\n # elif k in StringFields:\\n # v = v.strip()\\n # else:\\n # # field is expected to be a string field\\n # logger.warning(\\n # 'Unexpected field name: {}'.format(k))\\n else:\\n v = None\\n\\n attrs[k] = v\\n\\n return SBSMessage(**attrs)\",\n \"def _parse_data(self, queue_msg):\\r\\n try:\\r\\n result = json.loads(queue_msg)\\r\\n except (TypeError, ValueError):\\r\\n log.error(\\\"External message should be a JSON serialized dict.\\\"\\r\\n \\\" Received queue_msg = %s\\\", queue_msg)\\r\\n raise\\r\\n msg = result['msg']\\r\\n return msg\",\n \"def decode(self, s):\\n o = self._decoder.decode(s)\\n return o\",\n \"def deserialize(self, data):\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7633603","0.74642533","0.732128","0.73038477","0.72709143","0.7223599","0.7175671","0.71700495","0.709591","0.7095633","0.70419884","0.70281994","0.6962232","0.6956503","0.6955446","0.69451785","0.6942254","0.6942078","0.6912403","0.6894626","0.68897164","0.68847406","0.6839708","0.6822371","0.6820741","0.68072194","0.6753701","0.6748185","0.6748085","0.67458564","0.67441875","0.67438406","0.6738053","0.6735911","0.6728886","0.67240196","0.6708863","0.66979563","0.66743803","0.66628903","0.66453564","0.6645131","0.6623311","0.6615861","0.661359","0.6597922","0.6583152","0.6583152","0.6583152","0.6568152","0.6555073","0.6541052","0.6530079","0.65293145","0.6525604","0.65190077","0.6510265","0.64971644","0.6491494","0.648927","0.6482905","0.64698976","0.6467608","0.64630824","0.64125466","0.6398791","0.63985884","0.63836503","0.63836503","0.63808095","0.6363221","0.6358774","0.6337717","0.63361263","0.6331415","0.63212264","0.63197637","0.6306571","0.6296363","0.6291602","0.62891096","0.6275811","0.62754375","0.62574357","0.62563324","0.62518454","0.6240635","0.6235526","0.6229425","0.6221181","0.62188905","0.62150395","0.62147164","0.62051576","0.6200169","0.61936355","0.61848766","0.6174763","0.6166594","0.6159548"],"string":"[\n \"0.7633603\",\n \"0.74642533\",\n \"0.732128\",\n \"0.73038477\",\n \"0.72709143\",\n \"0.7223599\",\n \"0.7175671\",\n \"0.71700495\",\n \"0.709591\",\n \"0.7095633\",\n \"0.70419884\",\n \"0.70281994\",\n \"0.6962232\",\n \"0.6956503\",\n \"0.6955446\",\n \"0.69451785\",\n \"0.6942254\",\n \"0.6942078\",\n \"0.6912403\",\n \"0.6894626\",\n \"0.68897164\",\n \"0.68847406\",\n \"0.6839708\",\n \"0.6822371\",\n \"0.6820741\",\n \"0.68072194\",\n \"0.6753701\",\n \"0.6748185\",\n \"0.6748085\",\n \"0.67458564\",\n \"0.67441875\",\n \"0.67438406\",\n \"0.6738053\",\n \"0.6735911\",\n \"0.6728886\",\n \"0.67240196\",\n \"0.6708863\",\n \"0.66979563\",\n \"0.66743803\",\n \"0.66628903\",\n \"0.66453564\",\n \"0.6645131\",\n \"0.6623311\",\n \"0.6615861\",\n \"0.661359\",\n \"0.6597922\",\n \"0.6583152\",\n \"0.6583152\",\n \"0.6583152\",\n \"0.6568152\",\n \"0.6555073\",\n \"0.6541052\",\n \"0.6530079\",\n \"0.65293145\",\n \"0.6525604\",\n \"0.65190077\",\n \"0.6510265\",\n \"0.64971644\",\n \"0.6491494\",\n \"0.648927\",\n \"0.6482905\",\n \"0.64698976\",\n \"0.6467608\",\n \"0.64630824\",\n \"0.64125466\",\n \"0.6398791\",\n \"0.63985884\",\n \"0.63836503\",\n \"0.63836503\",\n \"0.63808095\",\n \"0.6363221\",\n \"0.6358774\",\n \"0.6337717\",\n \"0.63361263\",\n \"0.6331415\",\n \"0.63212264\",\n \"0.63197637\",\n \"0.6306571\",\n \"0.6296363\",\n \"0.6291602\",\n \"0.62891096\",\n \"0.6275811\",\n \"0.62754375\",\n \"0.62574357\",\n \"0.62563324\",\n \"0.62518454\",\n \"0.6240635\",\n \"0.6235526\",\n \"0.6229425\",\n \"0.6221181\",\n \"0.62188905\",\n \"0.62150395\",\n \"0.62147164\",\n \"0.62051576\",\n \"0.6200169\",\n \"0.61936355\",\n \"0.61848766\",\n \"0.6174763\",\n \"0.6166594\",\n \"0.6159548\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.72191226"},"document_rank":{"kind":"string","value":"6"}}},{"rowIdx":88290,"cells":{"query":{"kind":"string","value":"serialize message with numpy array types into buffer"},"document":{"kind":"string","value":"def serialize_numpy(self, buff, numpy):\n try:\n buff.write(_struct_B.pack(self.result))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def serialize_numpy(self, buff, numpy):\n try:\n pass\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_2d2q14dq.pack(_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret))\n _x = self.msg\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n pass\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n pass\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(_x))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(_x))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self.tsp_turtles\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.conveyor_turtle\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.catch_turtle\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n length = len(self.name)\n buff.write(_struct_I.pack(length))\n for val1 in self.name:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.position)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.position.tostring())\n length = len(self.velocity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.velocity.tostring())\n length = len(self.effort)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.effort.tostring())\n length = len(self.position_command)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.position_command.tostring())\n length = len(self.velocity_command)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.velocity_command.tostring())\n length = len(self.effort_command)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.effort_command.tostring())\n length = len(self.accelerometer)\n buff.write(_struct_I.pack(length))\n for val1 in self.accelerometer:\n _x = val1\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(self.gyro)\n buff.write(_struct_I.pack(length))\n for val1 in self.gyro:\n _x = val1\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(self.orientation)\n buff.write(_struct_I.pack(length))\n for val1 in self.orientation:\n _x = val1\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.deflection)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.deflection.tostring())\n length = len(self.deflection_velocity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.deflection_velocity.tostring())\n length = len(self.motor_velocity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.motor_velocity.tostring())\n length = len(self.motor_current)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.motor_current.tostring())\n length = len(self.motor_winding_current)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.motor_winding_current.tostring())\n length = len(self.motor_sensor_temperature)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.motor_sensor_temperature.tostring())\n length = len(self.motor_winding_temperature)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.motor_winding_temperature.tostring())\n length = len(self.motor_housing_temperature)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.motor_housing_temperature.tostring())\n length = len(self.board_temperature)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.board_temperature.tostring())\n length = len(self.processor_temperature)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.processor_temperature.tostring())\n length = len(self.voltage)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.voltage.tostring())\n length = len(self.led_color)\n buff.write(_struct_I.pack(length))\n for val1 in self.led_color:\n _x = val1\n buff.write(_get_struct_4f().pack(_x.r, _x.g, _x.b, _x.a))\n length = len(self.sequence_number)\n buff.write(_struct_I.pack(length))\n pattern = '<%sQ'%length\n buff.write(self.sequence_number.tostring())\n length = len(self.receive_time)\n buff.write(_struct_I.pack(length))\n pattern = '<%sQ'%length\n buff.write(self.receive_time.tostring())\n length = len(self.transmit_time)\n buff.write(_struct_I.pack(length))\n pattern = '<%sQ'%length\n buff.write(self.transmit_time.tostring())\n length = len(self.hardware_receive_time)\n buff.write(_struct_I.pack(length))\n pattern = '<%sQ'%length\n buff.write(self.hardware_receive_time.tostring())\n length = len(self.hardware_transmit_time)\n buff.write(_struct_I.pack(length))\n pattern = '<%sQ'%length\n buff.write(self.hardware_transmit_time.tostring())\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_ihih3i3d2i2d().pack(_x.originId, _x.originType, _x.destinationId, _x.destinationType, _x.range, _x.ts, _x.seq, _x.rxPower, _x.channel, _x.datarate, _x.prf, _x.preambleLength, _x.txGain, _x.angle))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n buff.write(_struct_d.pack(self.i))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n buff.write(_get_struct_b().pack(self.error))\n length = len(self.start_pos)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(self.start_pos.tostring())\n length = len(self.target_pos)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(self.target_pos.tostring())\n length = len(self.plans)\n buff.write(_struct_I.pack(length))\n for val1 in self.plans:\n _x = val1.joint\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.trajectory)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(val1.trajectory.tostring())\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_Q8d().pack(_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w))\n buff.write(self.pose.covariance.tostring())\n _x = self\n buff.write(_get_struct_5d().pack(_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h))\n _x = self.modality\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.embed_vector)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(self.embed_vector.tostring())\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_7q.pack(_x.s_x, _x.s_y, _x.f_x, _x.f_y, _x.step_size, _x.bias_param, _x.max_iteration))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_2B2If().pack(_x.role, _x.id, _x.local_time, _x.system_time, _x.voltage))\n buff.write(self.pos_3d.tostring())\n buff.write(self.eop_3d.tostring())\n buff.write(self.vel_3d.tostring())\n buff.write(self.angle_3d.tostring())\n buff.write(self.quaternion.tostring())\n buff.write(self.imu_gyro_3d.tostring())\n buff.write(self.imu_acc_3d.tostring())\n length = len(self.nodes)\n buff.write(_struct_I.pack(length))\n for val1 in self.nodes:\n _x = val1\n buff.write(_get_struct_2B3f().pack(_x.role, _x.id, _x.dis, _x.fp_rssi, _x.rx_rssi))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_h16fh8f().pack(_x.id, _x.age, _x.velocidad_relativa_x, _x.velocidad_relativa_y, _x.velocidad_absoluta_x, _x.velocidad_absoluta_y, _x.velocidad_absoluta_sigma_x, _x.velocidad_absoluta_sigma_y, _x.bounding_box_centro_x, _x.bounding_box_centro_y, _x.bounding_box_largo, _x.bounding_box_ancho, _x.object_box_centro_x, _x.object_box_centro_y, _x.object_box_orientacion, _x.object_box_size_x, _x.object_box_size_y, _x.clasificacion, _x.clasificacion_age, _x.clasificacion_certeza, _x.punto_cercano_x, _x.punto_cercano_y, _x.punto_referencia_x, _x.punto_referencia_y, _x.punto_referencia_sigma_x, _x.punto_referencia_sigma_y))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_12B.pack(_x.hlive, _x.hstate, _x.hfinished, _x.pressure, _x.c1, _x.c2, _x.c3, _x.c4, _x.c5, _x.c6, _x.c7, _x.c8))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n length = len(self.objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.objects:\n _v7 = val1.header\n buff.write(_struct_I.pack(_v7.seq))\n _v8 = _v7.stamp\n _x = _v8\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v7.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.object_class\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(val1.confidence))\n _v9 = val1.roi\n _x = _v9\n buff.write(_struct_4IB.pack(_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_14d.pack(_x.u0, _x.h0, _x.vl, _x.i0, _x.wv, _x.wh, _x.wi, _x.h_stop, _x.T_gap, _x.v_max, _x.v_min, _x.h_min, _x.i_max, _x.i_min))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_ih2B().pack(_x.rcvTOW, _x.week, _x.numSV, _x.reserved1))\n length = len(self.sv)\n buff.write(_struct_I.pack(length))\n for val1 in self.sv:\n _x = val1\n buff.write(_get_struct_2dfB2bB().pack(_x.cpMes, _x.prMes, _x.doMes, _x.sv, _x.mesQI, _x.cno, _x.lli))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_6d2IB().pack(_x.position.x, _x.position.y, _x.position.z, _x.position.roll, _x.position.pitch, _x.position.yaw, _x.position.stamp.secs, _x.position.stamp.nsecs, _x.is_Known))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.canmsg\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_Bf2B2f2B2fBf().pack(_x.track_id, _x.track_lat_rate, _x.track_group_changed, _x.track_status, _x.track_angle, _x.track_range, _x.track_bridge_object, _x.track_rolling_count, _x.track_width, _x.track_range_accel, _x.track_med_range_mode, _x.track_range_rate))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self.time\n buff.write(_get_struct_d().pack(_x))\n length = len(self.q_target)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.q_target.tostring())\n length = len(self.qd_target)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.qd_target.tostring())\n length = len(self.qdd_target)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.qdd_target.tostring())\n length = len(self.i_target)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.i_target.tostring())\n length = len(self.m_target)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.m_target.tostring())\n length = len(self.q_actual)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.q_actual.tostring())\n length = len(self.qd_actual)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.qd_actual.tostring())\n length = len(self.i_actual)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.i_actual.tostring())\n length = len(self.tool_acc_values)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.tool_acc_values.tostring())\n length = len(self.tcp_force)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.tcp_force.tostring())\n length = len(self.tool_vector)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.tool_vector.tostring())\n length = len(self.tcp_speed)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.tcp_speed.tostring())\n _x = self.digital_input_bits\n buff.write(_get_struct_d().pack(_x))\n length = len(self.motor_temperatures)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.motor_temperatures.tostring())\n _x = self\n buff.write(_get_struct_3d().pack(_x.controller_timer, _x.test_value, _x.robot_mode))\n length = len(self.joint_modes)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.joint_modes.tostring())\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.line)\n buff.write(_struct_I.pack(length))\n for val1 in self.line:\n _x = val1\n buff.write(_get_struct_4if().pack(_x.x1, _x.y1, _x.x2, _x.y2, _x.color))\n length = len(self.circle)\n buff.write(_struct_I.pack(length))\n for val1 in self.circle:\n _x = val1\n buff.write(_get_struct_3if().pack(_x.x, _x.y, _x.radius, _x.color))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_2ib6d12B().pack(_x.Timestamp_sec, _x.Timestamp_nsec, _x.IdModulo, _x.InputVolA, _x.InputVolB, _x.InputCorrA, _x.InputCorrB, _x.OutputAnlg1, _x.OutputAnlg2, _x.InputDig1, _x.InputDig2, _x.InputDig3, _x.InputDig4, _x.OutputDig1, _x.OutputDig2, _x.OutputDig3, _x.OutputDig4, _x.OutputDig5, _x.OutputDig6, _x.OutputDig7, _x.OutputDig8))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n buff.write(_struct_B.pack(self.type))\n _x = self.model\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.head_version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.body_version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.arm_version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_2B3i.pack(_x.has_laser, _x.has_extended_arms, _x.number_of_legs, _x.number_of_arms, _x.number_of_hands))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n buff.write(self.thumb.tostring())\n buff.write(self.index.tostring())\n buff.write(self.middle.tostring())\n buff.write(self.ring.tostring())\n buff.write(self.little.tostring())\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.red_u)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.red_u.tostring())\n length = len(self.red_v)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.red_v.tostring())\n length = len(self.yellow_u)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.yellow_u.tostring())\n length = len(self.yellow_v)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.yellow_v.tostring())\n length = len(self.green_u)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.green_u.tostring())\n length = len(self.green_v)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.green_v.tostring())\n length = len(self.purple_u)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.purple_u.tostring())\n length = len(self.purple_v)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.purple_v.tostring())\n length = len(self.orange_u)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.orange_u.tostring())\n length = len(self.orange_v)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.orange_v.tostring())\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_12d2f3d().pack(_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_9f.pack(_x.c0.x, _x.c0.y, _x.c0.z, _x.c1.x, _x.c1.y, _x.c1.z, _x.c2.x, _x.c2.y, _x.c2.z))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_3B.pack(_x.gear, _x.front_diff, _x.rear_diff))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.polygons)\n buff.write(_struct_I.pack(length))\n for val1 in self.polygons:\n _v3 = val1.stamp\n _x = _v3\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n buff.write(_struct_I.pack(val1.ID))\n buff.write(val1.parameter.tostring())\n length = len(val1.score)\n buff.write(_struct_I.pack(length))\n for val2 in val1.score:\n _x = val2\n buff.write(_struct_If.pack(_x.ID, _x.prob))\n length = len(val1.polyline)\n buff.write(_struct_I.pack(length))\n for val2 in val1.polyline:\n _x = val2\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.edge_prob))\n length = len(val1.features)\n buff.write(_struct_I.pack(length))\n for val2 in val1.features:\n _x = val2\n buff.write(_struct_3fI.pack(_x.x, _x.y, _x.z, _x.ID))\n _x = val1.energy\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(val1.weight))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_6d2I2iB().pack(_x.x, _x.y, _x.z, _x.yaw, _x.v_des, _x.a_des, _x.t_start.secs, _x.t_start.nsecs, _x.duration.secs, _x.duration.nsecs, _x.relative))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.base.header.seq, _x.base.header.stamp.secs, _x.base.header.stamp.nsecs))\n _x = self.base.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_5f.pack(_x.base.cell_width, _x.base.cell_height, _x.base.position.x, _x.base.position.y, _x.base.position.z))\n length = len(self.base.points)\n buff.write(_struct_I.pack(length))\n for val1 in self.base.points:\n _x = val1\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n length = len(self.base.intensity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(self.base.intensity.tostring())\n buff.write(_struct_b.pack(self.base.cost))\n _x = self.base.label\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_2f.pack(_x.mean_height, _x.mean_intensity))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_B12d.pack(_x.visible, _x.x, _x.y, _x.z, _x.u, _x.v, _x.w, _x.phi, _x.theta, _x.psi, _x.p, _x.q, _x.r))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(_x))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(_x))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_b7d().pack(_x.decision, _x.distance, _x.oriX, _x.oriY, _x.oriZ, _x.placX, _x.placY, _x.placZ))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n buff.write(_get_struct_i().pack(self.numberOfTSPTurtles))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.cmd\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.cat\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(_x))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(_x))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_I3f2d13fH().pack(_x.sample_count, _x.ekf_roll, _x.ekf_pitch, _x.ekf_yaw, _x.ekf_lat, _x.ekf_lon, _x.ekf_alt, _x.ekf_vN, _x.ekf_vE, _x.ekf_vD, _x.ekf_vX, _x.ekf_vY, _x.ekf_vZ, _x.rad_gyro_X, _x.rad_gyro_Y, _x.rad_gyro_Z, _x.angular_acc_X, _x.angular_acc_Y, _x.angular_acc_Z, _x.alt_DVL))\n _x = self.dvl_error_code\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\n else:\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_B9f2i7f().pack(_x.flag_to_check, _x.imu_deg_gyro_X, _x.imu_deg_gyro_Y, _x.imu_deg_gyro_Z, _x.imu_mag_X, _x.imu_mag_Y, _x.imu_mag_Z, _x.imu_acc_X, _x.imu_acc_Y, _x.imu_acc_Z, _x.gps_lat, _x.gps_lon, _x.gps_alt, _x.gps_vN, _x.gps_vE, _x.gps_vD, _x.dvl_vX, _x.dvl_vY, _x.dvl_vZ))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_2I2d4fh2B.pack(_x.date, _x.time, _x.longitude_RTK, _x.latitude_RTK, _x.height_above_sea_RTK, _x.velocity_north, _x.velocity_east, _x.velocity_ground, _x.yaw, _x.position_flag, _x.yaw_flag))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_q6d().pack(_x.control.mode, _x.control.duty_cycle, _x.control.current, _x.control.brake, _x.control.speed, _x.control.position, _x.control.servo))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_14id2i.pack(_x.lnid, _x.did, _x.blid, _x.flid, _x.bnid, _x.fnid, _x.jct, _x.blid2, _x.blid3, _x.blid4, _x.flid2, _x.flid3, _x.flid4, _x.clossid, _x.span, _x.lcnt, _x.lno))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_2I4d().pack(_x.h_min, _x.h_max, _x.s_min, _x.s_max, _x.v_min, _x.v_max))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_H2BiIbB4H2B3I().pack(_x.mask, _x.dynModel, _x.fixMode, _x.fixedAlt, _x.fixedAltVar, _x.minElev, _x.drLimit, _x.pDop, _x.tDop, _x.pAcc, _x.tAcc, _x.staticHoldThresh, _x.dgpsTimeOut, _x.reserved2, _x.reserved3, _x.reserved4))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n length = len(self.cnt)\n buff.write(_struct_I.pack(length))\n for val1 in self.cnt:\n _v7 = val1.header\n buff.write(_get_struct_I().pack(_v7.seq))\n _v8 = _v7.stamp\n _x = _v8\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v7.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_i().pack(val1.devadd))\n _v9 = val1.now\n _x = _v9\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n buff.write(_get_struct_I().pack(val1.encounter))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_B2i2B.pack(_x.partial_view, _x.resolution, _x.type, _x.use_simple_occlusion, _x.add_point_colors))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(_x))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(_x))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_2i16dih().pack(_x.Timestamp_sec, _x.Timestamp_nsec, _x.Roll, _x.Pitch, _x.Yaw, _x.Wx, _x.Wy, _x.Wz, _x.AcelX, _x.AcelY, _x.AcelZ, _x.VelN, _x.VelE, _x.VelZ, _x.GPSLong, _x.GPSLat, _x.GPSAlt, _x.Temp, _x.IMUTime, _x.BITStatus))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_I().pack(self.robot_id.id))\n _x = self.robot_id.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_3I().pack(_x.agv_msg.header.seq, _x.agv_msg.header.stamp.secs, _x.agv_msg.header.stamp.nsecs))\n _x = self.agv_msg.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_I().pack(self.agv_msg.vehicle_id.id))\n _x = self.agv_msg.vehicle_id.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_21f().pack(_x.agv_msg.left_size, _x.agv_msg.right_size, _x.agv_msg.front_size, _x.agv_msg.rear_size, _x.agv_msg.min_height, _x.agv_msg.max_height, _x.agv_msg.payload, _x.agv_msg.max_pos_x_vel, _x.agv_msg.max_neg_x_vel, _x.agv_msg.max_pos_x_acc, _x.agv_msg.max_neg_x_acc, _x.agv_msg.max_pos_y_vel, _x.agv_msg.max_neg_y_vel, _x.agv_msg.max_pos_y_acc, _x.agv_msg.max_neg_y_acc, _x.agv_msg.max_pos_ang_vel, _x.agv_msg.max_neg_ang_vel, _x.agv_msg.velocity_control_sensitivity, _x.agv_msg.min_turning_radius, _x.agv_msg.batt_capacity, _x.agv_msg.batt_max_voltage))\n _x = self.agv_msg.vehicle_type\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.agv_msg.vendor\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.agv_msg.action_capability)\n buff.write(_struct_I.pack(length))\n for val1 in self.agv_msg.action_capability:\n _x = val1\n buff.write(_get_struct_2B().pack(_x.category, _x.action))\n length = len(val1.attributes)\n buff.write(_struct_I.pack(length))\n for val2 in val1.attributes:\n _x = val2.type\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_3B4f2h3B().pack(_x.MatchMode, _x.MatchType, _x.TestMode, _x.pointA.x, _x.pointA.y, _x.pointB.x, _x.pointB.y, _x.angleA, _x.angleB, _x.idA, _x.idB, _x.kickforce))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self.group\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_2B().pack(_x.rand_start, _x.current_start))\n length = len(self.start_pos)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(self.start_pos.tostring())\n buff.write(_get_struct_B().pack(self.rand_target))\n length = len(self.target_pos)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(self.target_pos.tostring())\n _x = self\n buff.write(_get_struct_3Bb().pack(_x.execute, _x.wait, _x.ret_plan, _x.ret_fps))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n buff.write(_struct_B.pack(self.success))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(_x))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(_x))))","def serialize_numpy(self, buff, numpy):\n try:\n length = len(self.pending)\n buff.write(_struct_I.pack(length))\n for val1 in self.pending:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.gateway_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v33 = val1.platform_info\n _x = _v33.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v33.rocon_uri\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v33.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v34 = _v33.icon\n _x = _v34.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v34.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v34.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v33.version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_B().pack(val1.is_local_client))\n _x = val1.state\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.ip\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v35 = val1.conn_stats\n _x = _v35\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\n length = len(val1.rapps)\n buff.write(_struct_I.pack(length))\n for val2 in val1.rapps:\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.display_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.compatibility\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.status\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.implementations)\n buff.write(_struct_I.pack(length))\n for val3 in val2.implementations:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n _x = val2.preferred\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v36 = val2.icon\n _x = _v36.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v36.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v36.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_interface)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_interface:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_parameters)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_parameters:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.available)\n buff.write(_struct_I.pack(length))\n for val1 in self.available:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.gateway_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v37 = val1.platform_info\n _x = _v37.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v37.rocon_uri\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v37.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v38 = _v37.icon\n _x = _v38.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v38.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v38.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v37.version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_B().pack(val1.is_local_client))\n _x = val1.state\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.ip\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v39 = val1.conn_stats\n _x = _v39\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\n length = len(val1.rapps)\n buff.write(_struct_I.pack(length))\n for val2 in val1.rapps:\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.display_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.compatibility\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.status\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.implementations)\n buff.write(_struct_I.pack(length))\n for val3 in val2.implementations:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n _x = val2.preferred\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v40 = val2.icon\n _x = _v40.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v40.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v40.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_interface)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_interface:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_parameters)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_parameters:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.missing)\n buff.write(_struct_I.pack(length))\n for val1 in self.missing:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.gateway_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v41 = val1.platform_info\n _x = _v41.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v41.rocon_uri\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v41.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v42 = _v41.icon\n _x = _v42.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v42.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v42.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v41.version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_B().pack(val1.is_local_client))\n _x = val1.state\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.ip\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v43 = val1.conn_stats\n _x = _v43\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\n length = len(val1.rapps)\n buff.write(_struct_I.pack(length))\n for val2 in val1.rapps:\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.display_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.compatibility\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.status\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.implementations)\n buff.write(_struct_I.pack(length))\n for val3 in val2.implementations:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n _x = val2.preferred\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v44 = val2.icon\n _x = _v44.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v44.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v44.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_interface)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_interface:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_parameters)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_parameters:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.gone)\n buff.write(_struct_I.pack(length))\n for val1 in self.gone:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.gateway_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v45 = val1.platform_info\n _x = _v45.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v45.rocon_uri\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v45.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v46 = _v45.icon\n _x = _v46.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v46.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v46.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v45.version\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_B().pack(val1.is_local_client))\n _x = val1.state\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.ip\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v47 = val1.conn_stats\n _x = _v47\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\n length = len(val1.rapps)\n buff.write(_struct_I.pack(length))\n for val2 in val1.rapps:\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.display_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.compatibility\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.status\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.implementations)\n buff.write(_struct_I.pack(length))\n for val3 in val2.implementations:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n _x = val2.preferred\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v48 = val2.icon\n _x = _v48.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v48.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v48.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_interface)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_interface:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.public_parameters)\n buff.write(_struct_I.pack(length))\n for val3 in val2.public_parameters:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_9B.pack(_x.dvl_sts, _x.svs_sts, _x.fog_sts, _x.nav_sts, _x.bat_sts, _x.t_sts, _x.h_sts, _x.p_sts, _x.water_sts))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.Header.seq, _x.Header.stamp.secs, _x.Header.stamp.nsecs))\n _x = self.Header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_2hHBI().pack(_x.x_pos, _x.y_pos, _x.angle, _x.code_type, _x.code_num))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self.Class\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_d4q().pack(_x.probability, _x.xmin, _x.ymin, _x.xmax, _x.ymax))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_2B6f2Bb().pack(_x.status, _x.index, _x.range, _x.range_rate, _x.range_accl, _x.azimuth, _x.lateral_rate, _x.width, _x.is_mr_update, _x.is_lr_update, _x.amplitude))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_BQ().pack(_x.Front_sens.ID, _x.Front_sens.timestamp))\n buff.write(self.Front_sens.compass.tostring())\n buff.write(self.Front_sens.gyro.tostring())\n buff.write(self.Front_sens.accel.tostring())\n buff.write(self.Front_sens.fusionPose.tostring())\n buff.write(self.Front_sens.fusionQPose.tostring())\n _x = self\n buff.write(_get_struct_BQ().pack(_x.Rear_sens.ID, _x.Rear_sens.timestamp))\n buff.write(self.Rear_sens.compass.tostring())\n buff.write(self.Rear_sens.gyro.tostring())\n buff.write(self.Rear_sens.accel.tostring())\n buff.write(self.Rear_sens.fusionPose.tostring())\n buff.write(self.Rear_sens.fusionQPose.tostring())\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(self.battery_voltage))\n _x = self.flight_mode_ll\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.state_estimation\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.position_control\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_2B2f.pack(_x.serial_interface_enabled, _x.serial_interface_active, _x.flight_time, _x.cpu_load))\n _x = self.motor_status\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.gps_status\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_iBf.pack(_x.gps_num_satellites, _x.have_SSDK_parameters, _x.timesync_offset))\n buff.write(self.rc_channel.tostring())\n buff.write(self.control_axes.tostring())\n length = len(self.control_buttons)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(self.control_buttons.tostring())\n _x = self\n buff.write(_struct_6d.pack(_x.latitude, _x.longitude, _x.altitude, _x.pressure_height, _x.velocity_x, _x.velocity_y))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3B4IH3B.pack(_x.sysid, _x.compid, _x.limits_state, _x.last_trigger, _x.last_action, _x.last_recovery, _x.last_clear, _x.breach_count, _x.mods_enabled, _x.mods_required, _x.mods_triggered))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(_x))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(_x))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_d2H9d5fdI().pack(_x.Time, _x.Week, _x.Status, _x.RPY.x, _x.RPY.y, _x.RPY.z, _x.LLA.x, _x.LLA.y, _x.LLA.z, _x.NedVel.x, _x.NedVel.y, _x.NedVel.z, _x.YawUncertainty, _x.PitchUncertainty, _x.RollUncertainty, _x.PosUncertainty, _x.VelUncertainty, _x.SyncInTime, _x.SyncInCount))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_12d().pack(_x.sensor_pose_on_robot.position.x, _x.sensor_pose_on_robot.position.y, _x.sensor_pose_on_robot.position.z, _x.sensor_pose_on_robot.orientation.x, _x.sensor_pose_on_robot.orientation.y, _x.sensor_pose_on_robot.orientation.z, _x.sensor_pose_on_robot.orientation.w, _x.min_sensor_distance, _x.max_sensor_distance, _x.sensor_std_range, _x.sensor_std_yaw, _x.sensor_std_pitch))\n length = len(self.sensed_data)\n buff.write(_struct_I.pack(length))\n for val1 in self.sensed_data:\n _x = val1\n buff.write(_get_struct_3di().pack(_x.range, _x.yaw, _x.pitch, _x.id))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_4i.pack(_x.FL_vel, _x.FR_vel, _x.BL_vel, _x.BR_vel))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_H6B5f2Bf.pack(_x.sensorId, _x.id, _x.length, _x.width, _x.measstat, _x.existprob, _x.dynprop, _x.latdisp, _x.longdisp, _x.relxdot, _x.relxddot, _x.latspeed, _x.obsprob, _x.rollcount, _x.rcs))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_2H().pack(_x.image_width, _x.image_height))\n length = len(self.Hlines)\n buff.write(_struct_I.pack(length))\n for val1 in self.Hlines:\n _x = val1\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(self.Vlines)\n buff.write(_struct_I.pack(length))\n for val1 in self.Vlines:\n _x = val1\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n buff.write(_get_struct_H().pack(self.PFPS))\n length = len(self.regions)\n buff.write(_struct_I.pack(length))\n for val1 in self.regions:\n _v5 = val1.color\n _x = _v5\n buff.write(_get_struct_4f().pack(_x.r, _x.g, _x.b, _x.a))\n _v6 = val1.moment\n _x = _v6\n buff.write(_get_struct_10f().pack(_x.m00, _x.m10, _x.m01, _x.m11, _x.m20, _x.m02, _x.m21, _x.m12, _x.m30, _x.m03))\n _x = self\n buff.write(_get_struct_2H().pack(_x.box_width, _x.box_height))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_2q3d3q().pack(_x.max_features, _x.window_size, _x.quality, _x.min_distance, _x.harris, _x.size_block, _x.pyramid_lvl, _x.mask_border))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_I().pack(self.vehicle_id.id))\n _x = self.vehicle_id.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_21f().pack(_x.left_size, _x.right_size, _x.front_size, _x.rear_size, _x.min_height, _x.max_height, _x.payload, _x.max_pos_x_vel, _x.max_neg_x_vel, _x.max_pos_x_acc, _x.max_neg_x_acc, _x.max_pos_y_vel, _x.max_neg_y_vel, _x.max_pos_y_acc, _x.max_neg_y_acc, _x.max_pos_ang_vel, _x.max_neg_ang_vel, _x.velocity_control_sensitivity, _x.min_turning_radius, _x.batt_capacity, _x.batt_max_voltage))\n _x = self.vehicle_type\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.vendor\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.action_capability)\n buff.write(_struct_I.pack(length))\n for val1 in self.action_capability:\n _x = val1\n buff.write(_get_struct_2B().pack(_x.category, _x.action))\n length = len(val1.attributes)\n buff.write(_struct_I.pack(length))\n for val2 in val1.attributes:\n _x = val2.type\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_I2di6h8fI().pack(_x.health, _x.utcA0, _x.utcA1, _x.utcTOW, _x.utcWNT, _x.utcLS, _x.utcWNF, _x.utcDN, _x.utcLSF, _x.utcSpare, _x.klobA0, _x.klobA1, _x.klobA2, _x.klobA3, _x.klobB0, _x.klobB1, _x.klobB2, _x.klobB3, _x.flags))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def _serialize_buffer(buffer, array_serialization=None):\n if array_serialization == 'binary':\n # WARNING: in NumPy 1.9, tostring() has been renamed to tobytes()\n # but tostring() is still here for now for backward compatibility.\n return buffer.ravel().tostring()\n elif array_serialization == 'base64':\n return {'storage_type': 'base64',\n 'buffer': base64.b64encode(buffer).decode('ascii')\n }\n raise ValueError(\"The array serialization method should be 'binary' or \"\n \"'base64'.\")","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n length = len(self.actors)\n buff.write(_struct_I.pack(length))\n for val1 in self.actors:\n _v17 = val1.header\n _x = _v17.seq\n buff.write(_get_struct_I().pack(_x))\n _v18 = _v17.stamp\n _x = _v18\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v17.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = val1.tracking_id\n buff.write(_get_struct_I().pack(_x))\n _v19 = val1.pose\n _v20 = _v19.pose\n _v21 = _v20.position\n _x = _v21\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v22 = _v20.orientation\n _x = _v22\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n buff.write(_v19.covariance.tostring())\n if len(val1.points) != 18:\n self._check_types(ValueError(\"Expecting %s items but found %s when writing '%s'\" % (18, len(val1.points), 'val1.points')))\n for val2 in val1.points:\n _v23 = val2.point\n _x = _v23\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _x = val2.confidence\n buff.write(_get_struct_f().pack(_x))\n _v24 = val1.nose_point\n _x = _v24\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_B4bB.pack(_x.sbpl_wait_flag, _x.sbpl_present_x, _x.sbpl_present_y, _x.sbpl_new_x, _x.sbpl_new_y, _x.start_P3DX_motion))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n buff.write(self.Rscanpose.tostring())\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.type_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_4f.pack(_x.home.latitude, _x.home.longitude, _x.home.altitude, _x.home.heading))\n length = len(self.movements)\n buff.write(_struct_I.pack(length))\n for val1 in self.movements:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_b.pack(val1.type))\n length = len(val1.pre_actions)\n buff.write(_struct_I.pack(length))\n for val2 in val1.pre_actions:\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_b.pack(val2.type))\n _x = val2.action_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.parameters)\n buff.write(_struct_I.pack(length))\n for val3 in val2.parameters:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.slot_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.receivers_name)\n buff.write(_struct_I.pack(length))\n for val3 in val2.receivers_name:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n length = len(val1.post_actions)\n buff.write(_struct_I.pack(length))\n for val2 in val1.post_actions:\n _x = val2.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_b.pack(val2.type))\n _x = val2.action_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.parameters)\n buff.write(_struct_I.pack(length))\n for val3 in val2.parameters:\n _x = val3.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val3.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.slot_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.receivers_name)\n buff.write(_struct_I.pack(length))\n for val3 in val2.receivers_name:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n buff.write(_struct_f.pack(val1.altitude))\n _v5 = val1.target_position\n _x = _v5\n buff.write(_struct_4f.pack(_x.latitude, _x.longitude, _x.altitude, _x.heading))\n buff.write(_struct_b.pack(val1.strategy))\n _v6 = val1.duration\n _x = _v6\n buff.write(_struct_2i.pack(_x.secs, _x.nsecs))\n _x = val1\n buff.write(_struct_2fBf.pack(_x.radius, _x.circle_altitude, _x.clockwise, _x.direction))\n length = len(self.move_transitions)\n buff.write(_struct_I.pack(length))\n for val1 in self.move_transitions:\n buff.write(_struct_B.pack(val1.is_choice))\n _x = val1.wait_for_slot_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.from_move_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.to_move_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_B.pack(val1.fluid))\n _x = val1.condition_identifier\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.false_branch_move_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.slot_names)\n buff.write(_struct_I.pack(length))\n for val1 in self.slot_names:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n buff.write(_struct_b.pack(self.travel_mode))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_56B().pack(_x.command, _x.set_num, _x.paraset_byte54, _x.paraset_byte53, _x.paraset_byte52, _x.paraset_byte51, _x.paraset_byte50, _x.paraset_byte49, _x.paraset_byte48, _x.paraset_byte47, _x.paraset_byte46, _x.paraset_byte45, _x.paraset_byte44, _x.paraset_byte43, _x.paraset_byte42, _x.paraset_byte41, _x.paraset_byte40, _x.paraset_byte39, _x.paraset_byte38, _x.paraset_byte37, _x.paraset_byte36, _x.paraset_byte35, _x.paraset_byte34, _x.paraset_byte33, _x.paraset_byte32, _x.paraset_byte31, _x.paraset_byte30, _x.paraset_byte29, _x.paraset_byte28, _x.paraset_byte27, _x.paraset_byte26, _x.paraset_byte25, _x.paraset_byte24, _x.paraset_byte23, _x.paraset_byte22, _x.paraset_byte21, _x.paraset_byte20, _x.paraset_byte19, _x.paraset_byte18, _x.paraset_byte17, _x.paraset_byte16, _x.paraset_byte15, _x.paraset_byte14, _x.paraset_byte13, _x.paraset_byte12, _x.paraset_byte11, _x.paraset_byte10, _x.paraset_byte9, _x.paraset_byte8, _x.paraset_byte7, _x.paraset_byte6, _x.paraset_byte5, _x.paraset_byte4, _x.paraset_byte3, _x.paraset_byte2, _x.paraset_byte1))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_didid.pack(_x.distance_front, _x.angle_front, _x.distance_back, _x.angle_back, _x.turn_left))\n _x = self.turn_left_sensor\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_d.pack(self.turn_right))\n _x = self.turn_right_sensor\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_6f.pack(_x.major_ax, _x.minor_ax, _x.coup_strength, _x.limit_cycle, _x.forward_velocity, _x.curvature))\n length = len(self.x_offset)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.x_offset.tostring())\n length = len(self.y_offset)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.y_offset.tostring())\n length = len(self.coupling_1)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(self.coupling_1.tostring())\n length = len(self.coupling_2)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(self.coupling_2.tostring())\n length = len(self.coupling_3)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(self.coupling_3.tostring())\n length = len(self.coupling_4)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(self.coupling_4.tostring())\n length = len(self.coupling_5)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(self.coupling_5.tostring())\n length = len(self.coupling_6)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(self.coupling_6.tostring())\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(_x))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(_x))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.compatibility\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.display_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.description\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.namespace\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.icon.resource_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.icon.format\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.icon.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.remappings)\n buff.write(_struct_I.pack(length))\n for val1 in self.remappings:\n _x = val1.remap_from\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.remap_to\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.parameters\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.max))\n _x = self.pairing.rapp\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.pairing.remappings)\n buff.write(_struct_I.pack(length))\n for val1 in self.pairing.remappings:\n _x = val1.remap_from\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.remap_to\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.pairing.parameters)\n buff.write(_struct_I.pack(length))\n for val1 in self.pairing.parameters:\n _x = val1.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.hash))\n _x = self.role\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_5B6fi2f().pack(_x.enable_steering, _x.enable_braking, _x.enable_driving, _x.enable_Estop, _x.enable_gear, _x.sw_deg, _x.sw_rad, _x.speed_ms, _x.speed_kms, _x.ax_ms2, _x.omega_rad, _x.gear_mode, _x.steering, _x.speed))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_QBdB2I().pack(_x.step_num, _x.info_type, _x.predict.step_dt, _x.predict.trans_jacobian.column_major, _x.predict.trans_jacobian.rows, _x.predict.trans_jacobian.cols))\n length = len(self.predict.trans_jacobian.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.predict.trans_jacobian.data.tostring())\n _x = self\n buff.write(_get_struct_B2I().pack(_x.predict.trans_noise_cov.column_major, _x.predict.trans_noise_cov.rows, _x.predict.trans_noise_cov.cols))\n length = len(self.predict.trans_noise_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.predict.trans_noise_cov.data.tostring())\n _x = self\n buff.write(_get_struct_B2I().pack(_x.predict.prior_state_cov.column_major, _x.predict.prior_state_cov.rows, _x.predict.prior_state_cov.cols))\n length = len(self.predict.prior_state_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.predict.prior_state_cov.data.tostring())\n _x = self\n buff.write(_get_struct_B2I().pack(_x.predict.post_state_cov.column_major, _x.predict.post_state_cov.rows, _x.predict.post_state_cov.cols))\n length = len(self.predict.post_state_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.predict.post_state_cov.data.tostring())\n _x = self\n buff.write(_get_struct_B2I().pack(_x.update.prior_state_cov.column_major, _x.update.prior_state_cov.rows, _x.update.prior_state_cov.cols))\n length = len(self.update.prior_state_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.update.prior_state_cov.data.tostring())\n length = len(self.update.prior_obs_error)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.update.prior_obs_error.tostring())\n _x = self\n buff.write(_get_struct_B2I().pack(_x.update.obs_error_cov.column_major, _x.update.obs_error_cov.rows, _x.update.obs_error_cov.cols))\n length = len(self.update.obs_error_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.update.obs_error_cov.data.tostring())\n _x = self\n buff.write(_get_struct_B2I().pack(_x.update.post_state_cov.column_major, _x.update.post_state_cov.rows, _x.update.post_state_cov.cols))\n length = len(self.update.post_state_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.update.post_state_cov.data.tostring())\n length = len(self.update.state_delta)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.update.state_delta.tostring())\n length = len(self.update.post_obs_error)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.update.post_obs_error.tostring())\n _x = self\n buff.write(_get_struct_B2I().pack(_x.update.obs_jacobian.column_major, _x.update.obs_jacobian.rows, _x.update.obs_jacobian.cols))\n length = len(self.update.obs_jacobian.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.update.obs_jacobian.data.tostring())\n _x = self\n buff.write(_get_struct_B2I().pack(_x.update.obs_noise_cov.column_major, _x.update.obs_noise_cov.rows, _x.update.obs_noise_cov.cols))\n length = len(self.update.obs_noise_cov.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.update.obs_noise_cov.data.tostring())\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_3I().pack(_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs))\n _x = self.x.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_7d3I().pack(_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs))\n _x = self.x_desi.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_7d3I().pack(_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs))\n _x = self.x_desi_filtered.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_31d().pack(_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z))\n length = len(self.tau_pose)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.tau_pose.tostring())\n length = len(self.tau_posture)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.tau_posture.tostring())\n length = len(self.tau)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.tau.tostring())\n length = len(self.J.layout.dim)\n buff.write(_struct_I.pack(length))\n for val1 in self.J.layout.dim:\n _x = val1.label\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_get_struct_2I().pack(_x.size, _x.stride))\n buff.write(_get_struct_I().pack(self.J.layout.data_offset))\n length = len(self.J.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.J.data.tostring())\n length = len(self.N.layout.dim)\n buff.write(_struct_I.pack(length))\n for val1 in self.N.layout.dim:\n _x = val1.label\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_get_struct_2I().pack(_x.size, _x.stride))\n buff.write(_get_struct_I().pack(self.N.layout.data_offset))\n length = len(self.N.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.N.data.tostring())\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self.object1\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.object2\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_di.pack(_x.penetration_distance, _x.operation))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.planning_scene_diff.robot_state.joint_state.header.seq, _x.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs))\n _x = self.planning_scene_diff.robot_state.joint_state.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.planning_scene_diff.robot_state.joint_state.name)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.robot_state.joint_state.name:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene_diff.robot_state.joint_state.position)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.planning_scene_diff.robot_state.joint_state.position.tostring())\n length = len(self.planning_scene_diff.robot_state.joint_state.velocity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.planning_scene_diff.robot_state.joint_state.velocity.tostring())\n length = len(self.planning_scene_diff.robot_state.joint_state.effort)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.planning_scene_diff.robot_state.joint_state.effort.tostring())\n _x = self\n buff.write(_struct_2I.pack(_x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.secs, _x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.nsecs))\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.poses)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.poses:\n _v57 = val1.position\n _x = _v57\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v58 = val1.orientation\n _x = _v58\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.planning_scene_diff.fixed_frame_transforms)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.fixed_frame_transforms:\n _v59 = val1.header\n buff.write(_struct_I.pack(_v59.seq))\n _v60 = _v59.stamp\n _x = _v60\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v59.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.child_frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v61 = val1.transform\n _v62 = _v61.translation\n _x = _v62\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v63 = _v61.rotation\n _x = _v63\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.planning_scene_diff.allowed_collision_matrix.link_names)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.allowed_collision_matrix.link_names:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene_diff.allowed_collision_matrix.entries)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.allowed_collision_matrix.entries:\n length = len(val1.enabled)\n buff.write(_struct_I.pack(length))\n pattern = '<%sB'%length\n buff.write(val1.enabled.tostring())\n length = len(self.planning_scene_diff.allowed_contacts)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.allowed_contacts:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v64 = val1.shape\n buff.write(_struct_b.pack(_v64.type))\n length = len(_v64.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(_v64.dimensions.tostring())\n length = len(_v64.triangles)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(_v64.triangles.tostring())\n length = len(_v64.vertices)\n buff.write(_struct_I.pack(length))\n for val3 in _v64.vertices:\n _x = val3\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v65 = val1.pose_stamped\n _v66 = _v65.header\n buff.write(_struct_I.pack(_v66.seq))\n _v67 = _v66.stamp\n _x = _v67\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v66.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v68 = _v65.pose\n _v69 = _v68.position\n _x = _v69\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v70 = _v68.orientation\n _x = _v70\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(val1.link_names)\n buff.write(_struct_I.pack(length))\n for val2 in val1.link_names:\n length = len(val2)\n if python3 or type(val2) == unicode:\n val2 = val2.encode('utf-8')\n length = len(val2)\n buff.write(struct.pack('<I%ss'%length, length, val2))\n buff.write(_struct_d.pack(val1.penetration_depth))\n length = len(self.planning_scene_diff.link_padding)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.link_padding:\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_d.pack(val1.padding))\n length = len(self.planning_scene_diff.collision_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.collision_objects:\n _v71 = val1.header\n buff.write(_struct_I.pack(_v71.seq))\n _v72 = _v71.stamp\n _x = _v72\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v71.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(val1.padding))\n _v73 = val1.operation\n buff.write(_struct_b.pack(_v73.operation))\n length = len(val1.shapes)\n buff.write(_struct_I.pack(length))\n for val2 in val1.shapes:\n buff.write(_struct_b.pack(val2.type))\n length = len(val2.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val2.dimensions.tostring())\n length = len(val2.triangles)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(val2.triangles.tostring())\n length = len(val2.vertices)\n buff.write(_struct_I.pack(length))\n for val3 in val2.vertices:\n _x = val3\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n length = len(val1.poses)\n buff.write(_struct_I.pack(length))\n for val2 in val1.poses:\n _v74 = val2.position\n _x = _v74\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v75 = val2.orientation\n _x = _v75\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.planning_scene_diff.attached_collision_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.attached_collision_objects:\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v76 = val1.object\n _v77 = _v76.header\n buff.write(_struct_I.pack(_v77.seq))\n _v78 = _v77.stamp\n _x = _v78\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v77.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v76.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(_v76.padding))\n _v79 = _v76.operation\n buff.write(_struct_b.pack(_v79.operation))\n length = len(_v76.shapes)\n buff.write(_struct_I.pack(length))\n for val3 in _v76.shapes:\n buff.write(_struct_b.pack(val3.type))\n length = len(val3.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.dimensions.tostring())\n length = len(val3.triangles)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(val3.triangles.tostring())\n length = len(val3.vertices)\n buff.write(_struct_I.pack(length))\n for val4 in val3.vertices:\n _x = val4\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n length = len(_v76.poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v76.poses:\n _v80 = val3.position\n _x = _v80\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v81 = val3.orientation\n _x = _v81\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(val1.touch_links)\n buff.write(_struct_I.pack(length))\n for val2 in val1.touch_links:\n length = len(val2)\n if python3 or type(val2) == unicode:\n val2 = val2.encode('utf-8')\n length = len(val2)\n buff.write(struct.pack('<I%ss'%length, length, val2))\n _x = self\n buff.write(_struct_3I.pack(_x.planning_scene_diff.collision_map.header.seq, _x.planning_scene_diff.collision_map.header.stamp.secs, _x.planning_scene_diff.collision_map.header.stamp.nsecs))\n _x = self.planning_scene_diff.collision_map.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.planning_scene_diff.collision_map.boxes)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene_diff.collision_map.boxes:\n _v82 = val1.center\n _x = _v82\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n _v83 = val1.extents\n _x = _v83\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n _v84 = val1.axis\n _x = _v84\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n buff.write(_struct_f.pack(val1.angle))\n length = len(self.operations.collision_operations)\n buff.write(_struct_I.pack(length))\n for val1 in self.operations.collision_operations:\n _x = val1.object1\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.object2\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_struct_di.pack(_x.penetration_distance, _x.operation))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_51B.pack(_x.temp_1_curr, _x.temp_1_min, _x.temp_1_max, _x.temp_2_curr, _x.temp_2_min, _x.temp_2_max, _x.temp_3_curr, _x.temp_3_min, _x.temp_3_max, _x.temp_4_curr, _x.temp_4_min, _x.temp_4_max, _x.temp_5_curr, _x.temp_5_min, _x.temp_5_max, _x.temp_6_curr, _x.temp_6_min, _x.temp_6_max, _x.akku_voltage_curr, _x.akku_voltage_min, _x.akku_voltage_max, _x.hals_motor_voltage_curr, _x.hals_motor_voltage_min, _x.hals_motor_voltage_max, _x.hals_logik_voltage_curr, _x.hals_logik_voltage_min, _x.hals_logik_voltage_max, _x.tablett_logik_voltage_curr, _x.tablett_logik_voltage_min, _x.tablett_logik_voltage_max, _x.arm_logik_voltage_curr, _x.arm_logik_voltage_min, _x.arm_logik_voltage_max, _x.tablett_motor_voltage_curr, _x.tablett_motor_voltage_min, _x.tablett_motor_voltage_max, _x.hals_motor_current_curr, _x.hals_motor_current_min, _x.hals_motor_current_max, _x.hals_logik_current_curr, _x.hals_logik_current_min, _x.hals_logik_current_max, _x.tablett_logik_current_curr, _x.tablett_logik_current_min, _x.tablett_logik_current_max, _x.arm_logik_current_curr, _x.arm_logik_current_min, _x.arm_logik_current_max, _x.tablett_motor_current_curr, _x.tablett_motor_current_min, _x.tablett_motor_current_max))\n except struct.error, se: self._check_types(se)\n except TypeError, te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self.sim_step\n buff.write(_get_struct_I().pack(_x))\n _x = self.type.data\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self.parent_name.data\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self.name.data\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_2f7dI().pack(_x.wall_time, _x.sim_time, _x.pose.position.x, _x.pose.position.y, _x.pose.position.z, _x.pose.orientation.x, _x.pose.orientation.y, _x.pose.orientation.z, _x.pose.orientation.w, _x.count))\n length = len(self.triggered)\n buff.write(_struct_I.pack(length))\n pattern = '<%sB'%length\n buff.write(self.triggered.tostring())\n length = len(self.range)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(self.range.tostring())\n length = len(self.measurement)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(self.measurement.tostring())\n length = len(self.sensed_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.sensed_objects:\n _x = val1.data\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self.sensed_objects_map\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\n else:\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n buff.write(_struct_f.pack(self.yaw))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.model.header.seq, _x.model.header.stamp.secs, _x.model.header.stamp.nsecs))\n _x = self.model.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.model.id))\n _x = self.model.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.model.params)\n buff.write(_struct_I.pack(length))\n for val1 in self.model.params:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_struct_dB.pack(_x.value, _x.type))\n _x = self\n buff.write(_struct_3I.pack(_x.model.track.header.seq, _x.model.track.header.stamp.secs, _x.model.track.header.stamp.nsecs))\n _x = self.model.track.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.model.track.id))\n length = len(self.model.track.pose)\n buff.write(_struct_I.pack(length))\n for val1 in self.model.track.pose:\n _v29 = val1.position\n _x = _v29\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v30 = val1.orientation\n _x = _v30\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.model.track.pose_headers)\n buff.write(_struct_I.pack(length))\n for val1 in self.model.track.pose_headers:\n buff.write(_struct_I.pack(val1.seq))\n _v31 = val1.stamp\n _x = _v31\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = val1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.model.track.pose_projected)\n buff.write(_struct_I.pack(length))\n for val1 in self.model.track.pose_projected:\n _v32 = val1.position\n _x = _v32\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v33 = val1.orientation\n _x = _v33\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.model.track.pose_resampled)\n buff.write(_struct_I.pack(length))\n for val1 in self.model.track.pose_resampled:\n _v34 = val1.position\n _x = _v34\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v35 = val1.orientation\n _x = _v35\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.model.track.pose_flags)\n buff.write(_struct_I.pack(length))\n pattern = '<%sI'%length\n buff.write(self.model.track.pose_flags.tostring())\n length = len(self.model.track.channels)\n buff.write(_struct_I.pack(length))\n for val1 in self.model.track.channels:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.values)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(val1.values.tostring())\n _x = self\n buff.write(_struct_3I.pack(_x.data.header.seq, _x.data.header.stamp.secs, _x.data.header.stamp.nsecs))\n _x = self.data.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.data.id))\n _x = self.data.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.data.params)\n buff.write(_struct_I.pack(length))\n for val1 in self.data.params:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_struct_dB.pack(_x.value, _x.type))\n _x = self\n buff.write(_struct_3I.pack(_x.data.track.header.seq, _x.data.track.header.stamp.secs, _x.data.track.header.stamp.nsecs))\n _x = self.data.track.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.data.track.id))\n length = len(self.data.track.pose)\n buff.write(_struct_I.pack(length))\n for val1 in self.data.track.pose:\n _v36 = val1.position\n _x = _v36\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v37 = val1.orientation\n _x = _v37\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.data.track.pose_headers)\n buff.write(_struct_I.pack(length))\n for val1 in self.data.track.pose_headers:\n buff.write(_struct_I.pack(val1.seq))\n _v38 = val1.stamp\n _x = _v38\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = val1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.data.track.pose_projected)\n buff.write(_struct_I.pack(length))\n for val1 in self.data.track.pose_projected:\n _v39 = val1.position\n _x = _v39\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v40 = val1.orientation\n _x = _v40\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.data.track.pose_resampled)\n buff.write(_struct_I.pack(length))\n for val1 in self.data.track.pose_resampled:\n _v41 = val1.position\n _x = _v41\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v42 = val1.orientation\n _x = _v42\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.data.track.pose_flags)\n buff.write(_struct_I.pack(length))\n pattern = '<%sI'%length\n buff.write(self.data.track.pose_flags.tostring())\n length = len(self.data.track.channels)\n buff.write(_struct_I.pack(length))\n for val1 in self.data.track.channels:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.values)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(val1.values.tostring())\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.sensor_FL.header.seq, _x.sensor_FL.header.stamp.secs, _x.sensor_FL.header.stamp.nsecs))\n _x = self.sensor_FL.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_B4f3I().pack(_x.sensor_FL.radiation_type, _x.sensor_FL.field_of_view, _x.sensor_FL.min_range, _x.sensor_FL.max_range, _x.sensor_FL.range, _x.sensor_FR.header.seq, _x.sensor_FR.header.stamp.secs, _x.sensor_FR.header.stamp.nsecs))\n _x = self.sensor_FR.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_B4f3I().pack(_x.sensor_FR.radiation_type, _x.sensor_FR.field_of_view, _x.sensor_FR.min_range, _x.sensor_FR.max_range, _x.sensor_FR.range, _x.sensor_RR.header.seq, _x.sensor_RR.header.stamp.secs, _x.sensor_RR.header.stamp.nsecs))\n _x = self.sensor_RR.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_B4f3I().pack(_x.sensor_RR.radiation_type, _x.sensor_RR.field_of_view, _x.sensor_RR.min_range, _x.sensor_RR.max_range, _x.sensor_RR.range, _x.sensor_RL.header.seq, _x.sensor_RL.header.stamp.secs, _x.sensor_RL.header.stamp.nsecs))\n _x = self.sensor_RL.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_B4f().pack(_x.sensor_RL.radiation_type, _x.sensor_RL.field_of_view, _x.sensor_RL.min_range, _x.sensor_RL.max_range, _x.sensor_RL.range))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_3I.pack(_x.pan.header.seq, _x.pan.header.stamp.secs, _x.pan.header.stamp.nsecs))\n _x = self.pan.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_6f3df3I.pack(_x.pan.current, _x.pan.pos_rad, _x.pan.vel_rps, _x.pan.torque_nm, _x.pan.pwm, _x.pan.encoder_rad, _x.pan.accel.x, _x.pan.accel.y, _x.pan.accel.z, _x.pan.temperature_degC, _x.tilt.header.seq, _x.tilt.header.stamp.secs, _x.tilt.header.stamp.nsecs))\n _x = self.tilt.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_6f3df.pack(_x.tilt.current, _x.tilt.pos_rad, _x.tilt.vel_rps, _x.tilt.torque_nm, _x.tilt.pwm, _x.tilt.encoder_rad, _x.tilt.accel.x, _x.tilt.accel.y, _x.tilt.accel.z, _x.tilt.temperature_degC))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.planning_scene.robot_state.joint_state.header.seq, _x.planning_scene.robot_state.joint_state.header.stamp.secs, _x.planning_scene.robot_state.joint_state.header.stamp.nsecs))\n _x = self.planning_scene.robot_state.joint_state.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.planning_scene.robot_state.joint_state.name)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.robot_state.joint_state.name:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene.robot_state.joint_state.position)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.planning_scene.robot_state.joint_state.position.tostring())\n length = len(self.planning_scene.robot_state.joint_state.velocity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.planning_scene.robot_state.joint_state.velocity.tostring())\n length = len(self.planning_scene.robot_state.joint_state.effort)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.planning_scene.robot_state.joint_state.effort.tostring())\n _x = self\n buff.write(_struct_2I.pack(_x.planning_scene.robot_state.multi_dof_joint_state.stamp.secs, _x.planning_scene.robot_state.multi_dof_joint_state.stamp.nsecs))\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.joint_names)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.joint_names:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.frame_ids)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.frame_ids:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.child_frame_ids)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.child_frame_ids:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.poses)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.poses:\n _v169 = val1.position\n _x = _v169\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v170 = val1.orientation\n _x = _v170\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.planning_scene.fixed_frame_transforms)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.fixed_frame_transforms:\n _v171 = val1.header\n buff.write(_struct_I.pack(_v171.seq))\n _v172 = _v171.stamp\n _x = _v172\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v171.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.child_frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v173 = val1.transform\n _v174 = _v173.translation\n _x = _v174\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v175 = _v173.rotation\n _x = _v175\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.planning_scene.allowed_collision_matrix.link_names)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.allowed_collision_matrix.link_names:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.planning_scene.allowed_collision_matrix.entries)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.allowed_collision_matrix.entries:\n length = len(val1.enabled)\n buff.write(_struct_I.pack(length))\n pattern = '<%sB'%length\n buff.write(val1.enabled.tostring())\n length = len(self.planning_scene.allowed_contacts)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.allowed_contacts:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v176 = val1.shape\n buff.write(_struct_b.pack(_v176.type))\n length = len(_v176.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(_v176.dimensions.tostring())\n length = len(_v176.triangles)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(_v176.triangles.tostring())\n length = len(_v176.vertices)\n buff.write(_struct_I.pack(length))\n for val3 in _v176.vertices:\n _x = val3\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v177 = val1.pose_stamped\n _v178 = _v177.header\n buff.write(_struct_I.pack(_v178.seq))\n _v179 = _v178.stamp\n _x = _v179\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v178.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v180 = _v177.pose\n _v181 = _v180.position\n _x = _v181\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v182 = _v180.orientation\n _x = _v182\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(val1.link_names)\n buff.write(_struct_I.pack(length))\n for val2 in val1.link_names:\n length = len(val2)\n if python3 or type(val2) == unicode:\n val2 = val2.encode('utf-8')\n length = len(val2)\n buff.write(struct.pack('<I%ss'%length, length, val2))\n buff.write(_struct_d.pack(val1.penetration_depth))\n length = len(self.planning_scene.link_padding)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.link_padding:\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_d.pack(val1.padding))\n length = len(self.planning_scene.collision_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.collision_objects:\n _v183 = val1.header\n buff.write(_struct_I.pack(_v183.seq))\n _v184 = _v183.stamp\n _x = _v184\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v183.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(val1.padding))\n _v185 = val1.operation\n buff.write(_struct_b.pack(_v185.operation))\n length = len(val1.shapes)\n buff.write(_struct_I.pack(length))\n for val2 in val1.shapes:\n buff.write(_struct_b.pack(val2.type))\n length = len(val2.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val2.dimensions.tostring())\n length = len(val2.triangles)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(val2.triangles.tostring())\n length = len(val2.vertices)\n buff.write(_struct_I.pack(length))\n for val3 in val2.vertices:\n _x = val3\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n length = len(val1.poses)\n buff.write(_struct_I.pack(length))\n for val2 in val1.poses:\n _v186 = val2.position\n _x = _v186\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v187 = val2.orientation\n _x = _v187\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.planning_scene.attached_collision_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.attached_collision_objects:\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v188 = val1.object\n _v189 = _v188.header\n buff.write(_struct_I.pack(_v189.seq))\n _v190 = _v189.stamp\n _x = _v190\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v189.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v188.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_f.pack(_v188.padding))\n _v191 = _v188.operation\n buff.write(_struct_b.pack(_v191.operation))\n length = len(_v188.shapes)\n buff.write(_struct_I.pack(length))\n for val3 in _v188.shapes:\n buff.write(_struct_b.pack(val3.type))\n length = len(val3.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.dimensions.tostring())\n length = len(val3.triangles)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(val3.triangles.tostring())\n length = len(val3.vertices)\n buff.write(_struct_I.pack(length))\n for val4 in val3.vertices:\n _x = val4\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n length = len(_v188.poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v188.poses:\n _v192 = val3.position\n _x = _v192\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v193 = val3.orientation\n _x = _v193\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(val1.touch_links)\n buff.write(_struct_I.pack(length))\n for val2 in val1.touch_links:\n length = len(val2)\n if python3 or type(val2) == unicode:\n val2 = val2.encode('utf-8')\n length = len(val2)\n buff.write(struct.pack('<I%ss'%length, length, val2))\n _x = self\n buff.write(_struct_3I.pack(_x.planning_scene.collision_map.header.seq, _x.planning_scene.collision_map.header.stamp.secs, _x.planning_scene.collision_map.header.stamp.nsecs))\n _x = self.planning_scene.collision_map.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.planning_scene.collision_map.boxes)\n buff.write(_struct_I.pack(length))\n for val1 in self.planning_scene.collision_map.boxes:\n _v194 = val1.center\n _x = _v194\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n _v195 = val1.extents\n _x = _v195\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n _v196 = val1.axis\n _x = _v196\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n buff.write(_struct_f.pack(val1.angle))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs))\n _x = self.model_aligned.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.model_aligned.id))\n _x = self.model_aligned.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.model_aligned.params)\n buff.write(_struct_I.pack(length))\n for val1 in self.model_aligned.params:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_struct_dB.pack(_x.value, _x.type))\n _x = self\n buff.write(_struct_3I.pack(_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs))\n _x = self.model_aligned.track.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.model_aligned.track.id))\n length = len(self.model_aligned.track.pose)\n buff.write(_struct_I.pack(length))\n for val1 in self.model_aligned.track.pose:\n _v85 = val1.position\n _x = _v85\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v86 = val1.orientation\n _x = _v86\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.model_aligned.track.pose_headers)\n buff.write(_struct_I.pack(length))\n for val1 in self.model_aligned.track.pose_headers:\n buff.write(_struct_I.pack(val1.seq))\n _v87 = val1.stamp\n _x = _v87\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = val1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.model_aligned.track.pose_projected)\n buff.write(_struct_I.pack(length))\n for val1 in self.model_aligned.track.pose_projected:\n _v88 = val1.position\n _x = _v88\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v89 = val1.orientation\n _x = _v89\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.model_aligned.track.pose_resampled)\n buff.write(_struct_I.pack(length))\n for val1 in self.model_aligned.track.pose_resampled:\n _v90 = val1.position\n _x = _v90\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v91 = val1.orientation\n _x = _v91\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.model_aligned.track.pose_flags)\n buff.write(_struct_I.pack(length))\n pattern = '<%sI'%length\n buff.write(self.model_aligned.track.pose_flags.tostring())\n length = len(self.model_aligned.track.channels)\n buff.write(_struct_I.pack(length))\n for val1 in self.model_aligned.track.channels:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.values)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(val1.values.tostring())\n _x = self\n buff.write(_struct_3I.pack(_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs))\n _x = self.data_aligned.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.data_aligned.id))\n _x = self.data_aligned.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.data_aligned.params)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_aligned.params:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_struct_dB.pack(_x.value, _x.type))\n _x = self\n buff.write(_struct_3I.pack(_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs))\n _x = self.data_aligned.track.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_i.pack(self.data_aligned.track.id))\n length = len(self.data_aligned.track.pose)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_aligned.track.pose:\n _v92 = val1.position\n _x = _v92\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v93 = val1.orientation\n _x = _v93\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.data_aligned.track.pose_headers)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_aligned.track.pose_headers:\n buff.write(_struct_I.pack(val1.seq))\n _v94 = val1.stamp\n _x = _v94\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = val1.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.data_aligned.track.pose_projected)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_aligned.track.pose_projected:\n _v95 = val1.position\n _x = _v95\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v96 = val1.orientation\n _x = _v96\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.data_aligned.track.pose_resampled)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_aligned.track.pose_resampled:\n _v97 = val1.position\n _x = _v97\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v98 = val1.orientation\n _x = _v98\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.data_aligned.track.pose_flags)\n buff.write(_struct_I.pack(length))\n pattern = '<%sI'%length\n buff.write(self.data_aligned.track.pose_flags.tostring())\n length = len(self.data_aligned.track.channels)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_aligned.track.channels:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.values)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(val1.values.tostring())\n buff.write(self.R.tostring())\n buff.write(self.T.tostring())\n _x = self\n buff.write(_struct_df.pack(_x.dist_rot, _x.dist_trans))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.namespace\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.prefixes)\n buff.write(_struct_I.pack(length))\n for val1 in self.prefixes:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.prefix\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.imports)\n buff.write(_struct_I.pack(length))\n for val1 in self.imports:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *val1))\n else:\n buff.write(struct.pack('<I%ss'%length, length, val1))\n _x = self.address.room_nr\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.address.floor_nr\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.address.street_nr\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.address.street_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.address.city_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.objects:\n _v13 = val1.header\n buff.write(_struct_I.pack(_v13.seq))\n _v14 = _v13.stamp\n _x = _v14\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\n _x = _v13.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.type\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v15 = val1.size\n _x = _v15\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\n _v16 = val1.pose\n _v17 = _v16.position\n _x = _v17\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v18 = _v16.orientation\n _x = _v18\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\n _x = val1.part_of\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.actions)\n buff.write(_struct_I.pack(length))\n for val1 in self.actions:\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.type\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_B.pack(val1.asserted))\n _x = val1.object_acted_on\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.subactions)\n buff.write(_struct_I.pack(length))\n for val2 in val1.subactions:\n length = len(val2)\n if python3 or type(val2) == unicode:\n val2 = val2.encode('utf-8')\n length = len(val2)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *val2))\n else:\n buff.write(struct.pack('<I%ss'%length, length, val2))\n _x = val1\n buff.write(_struct_bB.pack(_x.quantification, _x.unordered))\n length = len(self.object_properties)\n buff.write(_struct_I.pack(length))\n for val1 in self.object_properties:\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.subject\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.object\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.data_properties)\n buff.write(_struct_I.pack(length))\n for val1 in self.data_properties:\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.subject\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_struct_B.pack(val1.value_type))\n _x = val1.value\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_3I().pack(_x.obstacleinfo.header.seq, _x.obstacleinfo.header.stamp.secs, _x.obstacleinfo.header.stamp.nsecs))\n _x = self.obstacleinfo.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.obstacleinfo.pos)\n buff.write(_struct_I.pack(length))\n for val1 in self.obstacleinfo.pos:\n _x = val1\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n length = len(self.obstacleinfo.polar_pos)\n buff.write(_struct_I.pack(length))\n for val1 in self.obstacleinfo.polar_pos:\n _x = val1\n buff.write(_get_struct_2f().pack(_x.angle, _x.radius))\n _x = self\n buff.write(_get_struct_3I().pack(_x.oppinfo.header.seq, _x.oppinfo.header.stamp.secs, _x.oppinfo.header.stamp.nsecs))\n _x = self.oppinfo.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.oppinfo.pos)\n buff.write(_struct_I.pack(length))\n for val1 in self.oppinfo.pos:\n _x = val1\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n length = len(self.oppinfo.polar_pos)\n buff.write(_struct_I.pack(length))\n for val1 in self.oppinfo.polar_pos:\n _x = val1\n buff.write(_get_struct_2f().pack(_x.angle, _x.radius))\n length = len(self.robotinfo)\n buff.write(_struct_I.pack(length))\n for val1 in self.robotinfo:\n _v23 = val1.header\n buff.write(_get_struct_I().pack(_v23.seq))\n _v24 = _v23.stamp\n _x = _v24\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v23.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_get_struct_7i().pack(_x.AgentID, _x.targetNum1, _x.targetNum2, _x.targetNum3, _x.targetNum4, _x.staticpassNum, _x.staticcatchNum))\n _v25 = val1.pos\n _x = _v25\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n _v26 = val1.heading\n buff.write(_get_struct_f().pack(_v26.theta))\n buff.write(_get_struct_f().pack(val1.vrot))\n _v27 = val1.vtrans\n _x = _v27\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n _x = val1\n buff.write(_get_struct_5Bf().pack(_x.iskick, _x.isvalid, _x.isstuck, _x.isdribble, _x.current_role, _x.role_time))\n _v28 = val1.target\n _x = _v28\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n length = len(self.ballinfo)\n buff.write(_struct_I.pack(length))\n for val1 in self.ballinfo:\n _v29 = val1.header\n buff.write(_get_struct_I().pack(_v29.seq))\n _v30 = _v29.stamp\n _x = _v30\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v29.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_i().pack(val1.ballinfostate))\n _v31 = val1.pos\n _x = _v31\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n _v32 = val1.real_pos\n _x = _v32\n buff.write(_get_struct_2f().pack(_x.angle, _x.radius))\n _v33 = val1.velocity\n _x = _v33\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\n _x = val1\n buff.write(_get_struct_2B().pack(_x.pos_known, _x.velocity_known))\n _x = self\n buff.write(_get_struct_3I().pack(_x.coachinfo.header.seq, _x.coachinfo.header.stamp.secs, _x.coachinfo.header.stamp.nsecs))\n _x = self.coachinfo.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_3B4f2h3B2I4f4B().pack(_x.coachinfo.MatchMode, _x.coachinfo.MatchType, _x.coachinfo.TestMode, _x.coachinfo.pointA.x, _x.coachinfo.pointA.y, _x.coachinfo.pointB.x, _x.coachinfo.pointB.y, _x.coachinfo.angleA, _x.coachinfo.angleB, _x.coachinfo.idA, _x.coachinfo.idB, _x.coachinfo.kickforce, _x.pass_cmd.pass_id, _x.pass_cmd.catch_id, _x.pass_cmd.pass_pt.x, _x.pass_cmd.pass_pt.y, _x.pass_cmd.catch_pt.x, _x.pass_cmd.catch_pt.y, _x.pass_cmd.is_passout, _x.pass_cmd.is_dynamic_pass, _x.pass_cmd.is_static_pass, _x.pass_cmd.is_valid))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_i3I().pack(_x.messageID, _x.localStamp.header.seq, _x.localStamp.header.stamp.secs, _x.localStamp.header.stamp.nsecs))\n _x = self.localStamp.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_4d().pack(_x.localStamp.time, _x.localStamp.lat, _x.localStamp.lng, _x.localStamp.height))\n buff.write(self.localStamp.position.tostring())\n buff.write(self.localStamp.orientation.tostring())\n buff.write(self.localStamp.linearSpeed.tostring())\n buff.write(self.localStamp.angularSpeed.tostring())\n _x = self\n buff.write(_get_struct_3I().pack(_x.globalStamp.header.seq, _x.globalStamp.header.stamp.secs, _x.globalStamp.header.stamp.nsecs))\n _x = self.globalStamp.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_4d().pack(_x.globalStamp.time, _x.globalStamp.lat, _x.globalStamp.lng, _x.globalStamp.height))\n buff.write(self.globalStamp.position.tostring())\n buff.write(self.globalStamp.orientation.tostring())\n buff.write(self.globalStamp.linearSpeed.tostring())\n buff.write(self.globalStamp.angularSpeed.tostring())\n _x = self\n buff.write(_get_struct_3I().pack(_x.camera.header.seq, _x.camera.header.stamp.secs, _x.camera.header.stamp.nsecs))\n _x = self.camera.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_i3I().pack(_x.camera.messageID, _x.camera.localStamp.header.seq, _x.camera.localStamp.header.stamp.secs, _x.camera.localStamp.header.stamp.nsecs))\n _x = self.camera.localStamp.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_4d().pack(_x.camera.localStamp.time, _x.camera.localStamp.lat, _x.camera.localStamp.lng, _x.camera.localStamp.height))\n buff.write(self.camera.localStamp.position.tostring())\n buff.write(self.camera.localStamp.orientation.tostring())\n buff.write(self.camera.localStamp.linearSpeed.tostring())\n buff.write(self.camera.localStamp.angularSpeed.tostring())\n _x = self\n buff.write(_get_struct_3I().pack(_x.camera.globalStamp.header.seq, _x.camera.globalStamp.header.stamp.secs, _x.camera.globalStamp.header.stamp.nsecs))\n _x = self.camera.globalStamp.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_4d().pack(_x.camera.globalStamp.time, _x.camera.globalStamp.lat, _x.camera.globalStamp.lng, _x.camera.globalStamp.height))\n buff.write(self.camera.globalStamp.position.tostring())\n buff.write(self.camera.globalStamp.orientation.tostring())\n buff.write(self.camera.globalStamp.linearSpeed.tostring())\n buff.write(self.camera.globalStamp.angularSpeed.tostring())\n _x = self\n buff.write(_get_struct_id().pack(_x.camera.camera_numobstacles, _x.camera.VehSpeed))\n for val1 in self.camera_obj:\n _v17 = val1.header\n buff.write(_get_struct_I().pack(_v17.seq))\n _v18 = _v17.stamp\n _x = _v18\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v17.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_i().pack(val1.messageID))\n _v19 = val1.localStamp\n _v20 = _v19.header\n buff.write(_get_struct_I().pack(_v20.seq))\n _v21 = _v20.stamp\n _x = _v21\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v20.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v19\n buff.write(_get_struct_4d().pack(_x.time, _x.lat, _x.lng, _x.height))\n buff.write(_v19.position.tostring())\n buff.write(_v19.orientation.tostring())\n buff.write(_v19.linearSpeed.tostring())\n buff.write(_v19.angularSpeed.tostring())\n _v22 = val1.globalStamp\n _v23 = _v22.header\n buff.write(_get_struct_I().pack(_v23.seq))\n _v24 = _v23.stamp\n _x = _v24\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v23.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v22\n buff.write(_get_struct_4d().pack(_x.time, _x.lat, _x.lng, _x.height))\n buff.write(_v22.position.tostring())\n buff.write(_v22.orientation.tostring())\n buff.write(_v22.linearSpeed.tostring())\n buff.write(_v22.angularSpeed.tostring())\n _x = val1\n buff.write(_get_struct_i2d6i3d3i2d2ididid().pack(_x.camera_obstacle_id, _x.camera_obstacleposx, _x.camera_obstacleposy, _x.blinkerInfo, _x.cut_in_and_out, _x.obstacle_type, _x.obstacle_status, _x.obstacle_valid, _x.obstacles_brake_lights, _x.obstacle_length, _x.obstacle_width, _x.obstacles_velx, _x.obstacleAge, _x.obstacleLane, _x.CIPVFlag, _x.RadarPosX, _x.RadarVelX, _x.RadarMatchConfidence, _x.MatcheRadarID, _x.obstacleAngleRate, _x.obstacles_velY, _x.object_Accel_X, _x.obstacleReplaced, _x.obstacleAngle))\n _x = self\n buff.write(_get_struct_3I().pack(_x.camera_lane.header.seq, _x.camera_lane.header.stamp.secs, _x.camera_lane.header.stamp.nsecs))\n _x = self.camera_lane.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_i3I().pack(_x.camera_lane.messageID, _x.camera_lane.localStamp.header.seq, _x.camera_lane.localStamp.header.stamp.secs, _x.camera_lane.localStamp.header.stamp.nsecs))\n _x = self.camera_lane.localStamp.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_4d().pack(_x.camera_lane.localStamp.time, _x.camera_lane.localStamp.lat, _x.camera_lane.localStamp.lng, _x.camera_lane.localStamp.height))\n buff.write(self.camera_lane.localStamp.position.tostring())\n buff.write(self.camera_lane.localStamp.orientation.tostring())\n buff.write(self.camera_lane.localStamp.linearSpeed.tostring())\n buff.write(self.camera_lane.localStamp.angularSpeed.tostring())\n _x = self\n buff.write(_get_struct_3I().pack(_x.camera_lane.globalStamp.header.seq, _x.camera_lane.globalStamp.header.stamp.secs, _x.camera_lane.globalStamp.header.stamp.nsecs))\n _x = self.camera_lane.globalStamp.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_4d().pack(_x.camera_lane.globalStamp.time, _x.camera_lane.globalStamp.lat, _x.camera_lane.globalStamp.lng, _x.camera_lane.globalStamp.height))\n buff.write(self.camera_lane.globalStamp.position.tostring())\n buff.write(self.camera_lane.globalStamp.orientation.tostring())\n buff.write(self.camera_lane.globalStamp.linearSpeed.tostring())\n buff.write(self.camera_lane.globalStamp.angularSpeed.tostring())\n _x = self\n buff.write(_get_struct_2i3did19i3did21i3did7i3did7i4di().pack(_x.camera_lane.l_numoflaneline, _x.camera_lane.l_lanelineid, _x.camera_lane.l_lanepositon, _x.camera_lane.l_lanecurvature, _x.camera_lane.l_lanecurvaturederivative, _x.camera_lane.l_lane_type, _x.camera_lane.l_heading_angle, _x.camera_lane.l_lane_mark_color, _x.camera_lane.l_laneQuality, _x.camera_lane.l_laneWidthMarking, _x.camera_lane.l_laneViewRangStart, _x.camera_lane.l_laneViewRangEnd, _x.camera_lane.l_laneCrossing, _x.camera_lane.l_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.l_lanePRED_OTHER_SIDE, _x.camera_lane.l_lanePRED_OVERRIDE, _x.camera_lane.l_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.l_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.l_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.l_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.l_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.l_lanePRED_SOURCE_STD, _x.camera_lane.l_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.l_laneTCL, _x.camera_lane.r_numoflaneline, _x.camera_lane.r_lanelineid, _x.camera_lane.r_lanepositon, _x.camera_lane.r_lanecurvature, _x.camera_lane.r_lanecurvaturederivative, _x.camera_lane.r_lane_type, _x.camera_lane.r_heading_angle, _x.camera_lane.r_lane_mark_color, _x.camera_lane.r_laneQuality, _x.camera_lane.r_laneWidthMarking, _x.camera_lane.r_laneViewRangStart, _x.camera_lane.r_laneViewRangEnd, _x.camera_lane.r_laneCrossing, _x.camera_lane.r_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.r_lanePRED_OTHER_SIDE, _x.camera_lane.r_lanePRED_OVERRIDE, _x.camera_lane.r_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.r_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.r_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.r_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.r_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.r_lanePRED_SOURCE_STD, _x.camera_lane.r_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.r_laneTCL, _x.camera_lane.next_l_laneViewRangStart, _x.camera_lane.next_l_laneViewRangEnd, _x.camera_lane.next_l_numoflaneline, _x.camera_lane.next_l_lanelineid, _x.camera_lane.next_l_lanepositon, _x.camera_lane.next_l_lanecurvature, _x.camera_lane.next_l_lanecurvaturederivative, _x.camera_lane.next_l_lane_type, _x.camera_lane.next_l_heading_angle, _x.camera_lane.next_l_lane_mark_color, _x.camera_lane.next_l_laneQuality, _x.camera_lane.next_l_laneWidthMarking, _x.camera_lane.next_r_laneViewRangStart, _x.camera_lane.next_r_laneViewRangEnd, _x.camera_lane.next_r_numoflaneline, _x.camera_lane.next_r_lanelineid, _x.camera_lane.next_r_lanepositon, _x.camera_lane.next_r_lanecurvature, _x.camera_lane.next_r_lanecurvaturederivative, _x.camera_lane.next_r_lane_type, _x.camera_lane.next_r_heading_angle, _x.camera_lane.next_r_lane_mark_color, _x.camera_lane.next_r_laneQuality, _x.camera_lane.next_r_laneWidthMarking, _x.camera_lane.highwayConstructionArea, _x.camera_lane.highwayRoadType, _x.camera_lane.highwayHighwayExitRight, _x.camera_lane.highwayHighwayExitLeft, _x.camera_lane.highwayProbabilityLeftLane, _x.camera_lane.highwayProbabilityRightLane, _x.camera_lane.highwayDriving_peed_left_lane, _x.camera_lane.highwayDriving_peed_right_lane, _x.camera_lane.highwayprotocol_version))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n length = len(self.graspable_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.graspable_objects:\n _x = val1.reference_frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n length = len(val1.potential_models)\n buff.write(_struct_I.pack(length))\n for val2 in val1.potential_models:\n _x = val2.model_id\n buff.write(_get_struct_i().pack(_x))\n _v63 = val2.type\n _x = _v63.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = _v63.db\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _v64 = val2.pose\n _v65 = _v64.header\n _x = _v65.seq\n buff.write(_get_struct_I().pack(_x))\n _v66 = _v65.stamp\n _x = _v66\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v65.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _v67 = _v64.pose\n _v68 = _v67.position\n _x = _v68\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v69 = _v67.orientation\n _x = _v69\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n _x = val2.confidence\n buff.write(_get_struct_f().pack(_x))\n _x = val2.detector_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _v70 = val1.cluster\n _v71 = _v70.header\n _x = _v71.seq\n buff.write(_get_struct_I().pack(_x))\n _v72 = _v71.stamp\n _x = _v72\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v71.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n length = len(_v70.points)\n buff.write(_struct_I.pack(length))\n for val3 in _v70.points:\n _x = val3\n buff.write(_get_struct_3f().pack(_x.x, _x.y, _x.z))\n length = len(_v70.channels)\n buff.write(_struct_I.pack(length))\n for val3 in _v70.channels:\n _x = val3.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n length = len(val3.values)\n buff.write(_struct_I.pack(length))\n pattern = '<%sf'%length\n buff.write(val3.values.tostring())\n _v73 = val1.region\n _v74 = _v73.cloud\n _v75 = _v74.header\n _x = _v75.seq\n buff.write(_get_struct_I().pack(_x))\n _v76 = _v75.stamp\n _x = _v76\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v75.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = _v74\n buff.write(_get_struct_2I().pack(_x.height, _x.width))\n length = len(_v74.fields)\n buff.write(_struct_I.pack(length))\n for val4 in _v74.fields:\n _x = val4.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = val4\n buff.write(_get_struct_IBI().pack(_x.offset, _x.datatype, _x.count))\n _x = _v74\n buff.write(_get_struct_B2I().pack(_x.is_bigendian, _x.point_step, _x.row_step))\n _x = _v74.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\n else:\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = _v74.is_dense\n buff.write(_get_struct_B().pack(_x))\n length = len(_v73.mask)\n buff.write(_struct_I.pack(length))\n pattern = '<%si'%length\n buff.write(_v73.mask.tostring())\n _v77 = _v73.image\n _v78 = _v77.header\n _x = _v78.seq\n buff.write(_get_struct_I().pack(_x))\n _v79 = _v78.stamp\n _x = _v79\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v78.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = _v77\n buff.write(_get_struct_2I().pack(_x.height, _x.width))\n _x = _v77.encoding\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = _v77\n buff.write(_get_struct_BI().pack(_x.is_bigendian, _x.step))\n _x = _v77.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\n else:\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _v80 = _v73.disparity_image\n _v81 = _v80.header\n _x = _v81.seq\n buff.write(_get_struct_I().pack(_x))\n _v82 = _v81.stamp\n _x = _v82\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v81.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = _v80\n buff.write(_get_struct_2I().pack(_x.height, _x.width))\n _x = _v80.encoding\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = _v80\n buff.write(_get_struct_BI().pack(_x.is_bigendian, _x.step))\n _x = _v80.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\n else:\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _v83 = _v73.cam_info\n _v84 = _v83.header\n _x = _v84.seq\n buff.write(_get_struct_I().pack(_x))\n _v85 = _v84.stamp\n _x = _v85\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v84.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = _v83\n buff.write(_get_struct_2I().pack(_x.height, _x.width))\n _x = _v83.distortion_model\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n length = len(_v83.D)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(_v83.D.tostring())\n buff.write(_v83.K.tostring())\n buff.write(_v83.R.tostring())\n buff.write(_v83.P.tostring())\n _x = _v83\n buff.write(_get_struct_2I().pack(_x.binning_x, _x.binning_y))\n _v86 = _v83.roi\n _x = _v86\n buff.write(_get_struct_4IB().pack(_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify))\n _v87 = _v73.roi_box_pose\n _v88 = _v87.header\n _x = _v88.seq\n buff.write(_get_struct_I().pack(_x))\n _v89 = _v88.stamp\n _x = _v89\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v88.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _v90 = _v87.pose\n _v91 = _v90.position\n _x = _v91\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v92 = _v90.orientation\n _x = _v92\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n _v93 = _v73.roi_box_dims\n _x = _v93\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _x = val1.collision_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_3I().pack(_x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs))\n _x = self.image.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_2I().pack(_x.image.height, _x.image.width))\n _x = self.image.encoding\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_BI().pack(_x.image.is_bigendian, _x.image.step))\n _x = self.image.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\n else:\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_3I().pack(_x.camera_info.header.seq, _x.camera_info.header.stamp.secs, _x.camera_info.header.stamp.nsecs))\n _x = self.camera_info.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_2I().pack(_x.camera_info.height, _x.camera_info.width))\n _x = self.camera_info.distortion_model\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n length = len(self.camera_info.D)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.camera_info.D.tostring())\n buff.write(self.camera_info.K.tostring())\n buff.write(self.camera_info.R.tostring())\n buff.write(self.camera_info.P.tostring())\n _x = self\n buff.write(_get_struct_6IB().pack(_x.camera_info.binning_x, _x.camera_info.binning_y, _x.camera_info.roi.x_offset, _x.camera_info.roi.y_offset, _x.camera_info.roi.height, _x.camera_info.roi.width, _x.camera_info.roi.do_rectify))\n length = len(self.meshes)\n buff.write(_struct_I.pack(length))\n for val1 in self.meshes:\n length = len(val1.triangles)\n buff.write(_struct_I.pack(length))\n for val2 in val1.triangles:\n buff.write(val2.vertex_indices.tostring())\n length = len(val1.vertices)\n buff.write(_struct_I.pack(length))\n for val2 in val1.vertices:\n _x = val2\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _x = self\n buff.write(_get_struct_7d().pack(_x.reference_to_camera.position.x, _x.reference_to_camera.position.y, _x.reference_to_camera.position.z, _x.reference_to_camera.orientation.x, _x.reference_to_camera.orientation.y, _x.reference_to_camera.orientation.z, _x.reference_to_camera.orientation.w))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def _serialize_array(self, array):\n buffer = io.BytesIO()\n np.save(buffer, array)\n return buffer.getvalue()","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_2IQB3I.pack(_x.unique_key, _x.gps_week, _x.gps_millisecond, _x.video_id, _x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs))\n _x = self.image.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_d21i7bBI6d13i2I.pack(_x.image.localPose.time, _x.image.localPose.dr_x, _x.image.localPose.dr_y, _x.image.localPose.dr_z, _x.image.localPose.dr_heading, _x.image.localPose.dr_roll, _x.image.localPose.dr_pitch, _x.image.localPose.lf_speed, _x.image.localPose.rf_speed, _x.image.localPose.lr_speed, _x.image.localPose.rr_speed, _x.image.localPose.rot_x, _x.image.localPose.rot_y, _x.image.localPose.rot_z, _x.image.localPose.acc_x, _x.image.localPose.acc_y, _x.image.localPose.acc_z, _x.image.localPose.batteryState, _x.image.localPose.batteryEnergy, _x.image.localPose.steer, _x.image.localPose.brake, _x.image.localPose.fuel, _x.image.localPose.trans, _x.image.localPose.VehicleState, _x.image.localPose.mode, _x.image.localPose.drStatus, _x.image.localPose.errorStatus, _x.image.localPose.emergency_flag, _x.image.localPose.hardswitch_on, _x.image.gpsPos.gps_flag, _x.image.gpsPos.gps_week, _x.image.gpsPos.gps_millisecond, _x.image.gpsPos.longitude, _x.image.gpsPos.laltitude, _x.image.gpsPos.gaussX, _x.image.gpsPos.gaussY, _x.image.gpsPos.height, _x.image.gpsPos.pitch, _x.image.gpsPos.roll, _x.image.gpsPos.azimuth, _x.image.gpsPos.northVelocity, _x.image.gpsPos.eastVelocity, _x.image.gpsPos.upVelocity, _x.image.gpsPos.positionStatus, _x.image.gpsPos.rot_x, _x.image.gpsPos.rot_y, _x.image.gpsPos.rot_z, _x.image.gpsPos.acc_x, _x.image.gpsPos.acc_y, _x.image.gpsPos.acc_z, _x.image.height, _x.image.width))\n _x = self.image.encoding\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n if python3:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_BI.pack(_x.image.is_bigendian, _x.image.step))\n _x = self.image.data\n length = len(_x)\n # - if encoded as a list instead, serialize as bytes instead of string\n if type(_x) in [list, tuple]:\n buff.write(struct.pack('<I%sB'%length, length, *_x))\n else:\n buff.write(struct.pack('<I%ss'%length, length, _x))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def send_ndarray(sock, data):\n with io.BytesIO() as f:\n np.save(f, data)\n byte_data = f.getvalue()\n\n # Pack message length\n msg = struct.pack('>I', len(byte_data)) + byte_data\n sock.sendall(msg)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_2i3I().pack(_x.manip_return_code, _x.object_grabber_return_code, _x.des_gripper_pose.header.seq, _x.des_gripper_pose.header.stamp.secs, _x.des_gripper_pose.header.stamp.nsecs))\n _x = self.des_gripper_pose.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_7di3I().pack(_x.des_gripper_pose.pose.position.x, _x.des_gripper_pose.pose.position.y, _x.des_gripper_pose.pose.position.z, _x.des_gripper_pose.pose.orientation.x, _x.des_gripper_pose.pose.orientation.y, _x.des_gripper_pose.pose.orientation.z, _x.des_gripper_pose.pose.orientation.w, _x.object_finder_return_code, _x.object_pose.header.seq, _x.object_pose.header.stamp.secs, _x.object_pose.header.stamp.nsecs))\n _x = self.object_pose.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_7d().pack(_x.object_pose.pose.position.x, _x.object_pose.pose.position.y, _x.object_pose.pose.position.z, _x.object_pose.pose.orientation.x, _x.object_pose.pose.orientation.y, _x.object_pose.pose.orientation.z, _x.object_pose.pose.orientation.w))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_2I().pack(_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs))\n _x = self.goal_id.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_3I().pack(_x.goal.request.workspace_parameters.header.seq, _x.goal.request.workspace_parameters.header.stamp.secs, _x.goal.request.workspace_parameters.header.stamp.nsecs))\n _x = self.goal.request.workspace_parameters.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_6d3I().pack(_x.goal.request.workspace_parameters.min_corner.x, _x.goal.request.workspace_parameters.min_corner.y, _x.goal.request.workspace_parameters.min_corner.z, _x.goal.request.workspace_parameters.max_corner.x, _x.goal.request.workspace_parameters.max_corner.y, _x.goal.request.workspace_parameters.max_corner.z, _x.goal.request.start_state.joint_state.header.seq, _x.goal.request.start_state.joint_state.header.stamp.secs, _x.goal.request.start_state.joint_state.header.stamp.nsecs))\n _x = self.goal.request.start_state.joint_state.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.goal.request.start_state.joint_state.name)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.request.start_state.joint_state.name:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.goal.request.start_state.joint_state.position)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.goal.request.start_state.joint_state.position.tostring())\n length = len(self.goal.request.start_state.joint_state.velocity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.goal.request.start_state.joint_state.velocity.tostring())\n length = len(self.goal.request.start_state.joint_state.effort)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.goal.request.start_state.joint_state.effort.tostring())\n _x = self\n buff.write(_get_struct_3I().pack(_x.goal.request.start_state.multi_dof_joint_state.header.seq, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.secs, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.nsecs))\n _x = self.goal.request.start_state.multi_dof_joint_state.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.goal.request.start_state.multi_dof_joint_state.joint_names)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.request.start_state.multi_dof_joint_state.joint_names:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.goal.request.start_state.multi_dof_joint_state.transforms)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.request.start_state.multi_dof_joint_state.transforms:\n _v297 = val1.translation\n _x = _v297\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v298 = val1.rotation\n _x = _v298\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.goal.request.start_state.multi_dof_joint_state.twist)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.request.start_state.multi_dof_joint_state.twist:\n _v299 = val1.linear\n _x = _v299\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v300 = val1.angular\n _x = _v300\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(self.goal.request.start_state.multi_dof_joint_state.wrench)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.request.start_state.multi_dof_joint_state.wrench:\n _v301 = val1.force\n _x = _v301\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v302 = val1.torque\n _x = _v302\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(self.goal.request.start_state.attached_collision_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.request.start_state.attached_collision_objects:\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v303 = val1.object\n _v304 = _v303.header\n buff.write(_get_struct_I().pack(_v304.seq))\n _v305 = _v304.stamp\n _x = _v305\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v304.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v303.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v306 = _v303.type\n _x = _v306.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v306.db\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(_v303.primitives)\n buff.write(_struct_I.pack(length))\n for val3 in _v303.primitives:\n buff.write(_get_struct_B().pack(val3.type))\n length = len(val3.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.dimensions.tostring())\n length = len(_v303.primitive_poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v303.primitive_poses:\n _v307 = val3.position\n _x = _v307\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v308 = val3.orientation\n _x = _v308\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(_v303.meshes)\n buff.write(_struct_I.pack(length))\n for val3 in _v303.meshes:\n length = len(val3.triangles)\n buff.write(_struct_I.pack(length))\n for val4 in val3.triangles:\n buff.write(val4.vertex_indices.tostring())\n length = len(val3.vertices)\n buff.write(_struct_I.pack(length))\n for val4 in val3.vertices:\n _x = val4\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(_v303.mesh_poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v303.mesh_poses:\n _v309 = val3.position\n _x = _v309\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v310 = val3.orientation\n _x = _v310\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(_v303.planes)\n buff.write(_struct_I.pack(length))\n for val3 in _v303.planes:\n buff.write(val3.coef.tostring())\n length = len(_v303.plane_poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v303.plane_poses:\n _v311 = val3.position\n _x = _v311\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v312 = val3.orientation\n _x = _v312\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(_v303.subframe_names)\n buff.write(_struct_I.pack(length))\n for val3 in _v303.subframe_names:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n length = len(_v303.subframe_poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v303.subframe_poses:\n _v313 = val3.position\n _x = _v313\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v314 = val3.orientation\n _x = _v314\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n buff.write(_get_struct_b().pack(_v303.operation))\n length = len(val1.touch_links)\n buff.write(_struct_I.pack(length))\n for val2 in val1.touch_links:\n length = len(val2)\n if python3 or type(val2) == unicode:\n val2 = val2.encode('utf-8')\n length = len(val2)\n buff.write(struct.pack('<I%ss'%length, length, val2))\n _v315 = val1.detach_posture\n _v316 = _v315.header\n buff.write(_get_struct_I().pack(_v316.seq))\n _v317 = _v316.stamp\n _x = _v317\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v316.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(_v315.joint_names)\n buff.write(_struct_I.pack(length))\n for val3 in _v315.joint_names:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n length = len(_v315.points)\n buff.write(_struct_I.pack(length))\n for val3 in _v315.points:\n length = len(val3.positions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.positions.tostring())\n length = len(val3.velocities)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.velocities.tostring())\n length = len(val3.accelerations)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.accelerations.tostring())\n length = len(val3.effort)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.effort.tostring())\n _v318 = val3.time_from_start\n _x = _v318\n buff.write(_get_struct_2i().pack(_x.secs, _x.nsecs))\n buff.write(_get_struct_d().pack(val1.weight))\n buff.write(_get_struct_B().pack(self.goal.request.start_state.is_diff))\n length = len(self.goal.request.goal_constraints)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.request.goal_constraints:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.joint_constraints)\n buff.write(_struct_I.pack(length))\n for val2 in val1.joint_constraints:\n _x = val2.joint_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2\n buff.write(_get_struct_4d().pack(_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight))\n length = len(val1.position_constraints)\n buff.write(_struct_I.pack(length))\n for val2 in val1.position_constraints:\n _v319 = val2.header\n buff.write(_get_struct_I().pack(_v319.seq))\n _v320 = _v319.stamp\n _x = _v320\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v319.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v321 = val2.target_point_offset\n _x = _v321\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v322 = val2.constraint_region\n length = len(_v322.primitives)\n buff.write(_struct_I.pack(length))\n for val4 in _v322.primitives:\n buff.write(_get_struct_B().pack(val4.type))\n length = len(val4.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val4.dimensions.tostring())\n length = len(_v322.primitive_poses)\n buff.write(_struct_I.pack(length))\n for val4 in _v322.primitive_poses:\n _v323 = val4.position\n _x = _v323\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v324 = val4.orientation\n _x = _v324\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(_v322.meshes)\n buff.write(_struct_I.pack(length))\n for val4 in _v322.meshes:\n length = len(val4.triangles)\n buff.write(_struct_I.pack(length))\n for val5 in val4.triangles:\n buff.write(val5.vertex_indices.tostring())\n length = len(val4.vertices)\n buff.write(_struct_I.pack(length))\n for val5 in val4.vertices:\n _x = val5\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(_v322.mesh_poses)\n buff.write(_struct_I.pack(length))\n for val4 in _v322.mesh_poses:\n _v325 = val4.position\n _x = _v325\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v326 = val4.orientation\n _x = _v326\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n buff.write(_get_struct_d().pack(val2.weight))\n length = len(val1.orientation_constraints)\n buff.write(_struct_I.pack(length))\n for val2 in val1.orientation_constraints:\n _v327 = val2.header\n buff.write(_get_struct_I().pack(_v327.seq))\n _v328 = _v327.stamp\n _x = _v328\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v327.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v329 = val2.orientation\n _x = _v329\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n _x = val2.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2\n buff.write(_get_struct_4d().pack(_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight))\n length = len(val1.visibility_constraints)\n buff.write(_struct_I.pack(length))\n for val2 in val1.visibility_constraints:\n buff.write(_get_struct_d().pack(val2.target_radius))\n _v330 = val2.target_pose\n _v331 = _v330.header\n buff.write(_get_struct_I().pack(_v331.seq))\n _v332 = _v331.stamp\n _x = _v332\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v331.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v333 = _v330.pose\n _v334 = _v333.position\n _x = _v334\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v335 = _v333.orientation\n _x = _v335\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n buff.write(_get_struct_i().pack(val2.cone_sides))\n _v336 = val2.sensor_pose\n _v337 = _v336.header\n buff.write(_get_struct_I().pack(_v337.seq))\n _v338 = _v337.stamp\n _x = _v338\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v337.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v339 = _v336.pose\n _v340 = _v339.position\n _x = _v340\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v341 = _v339.orientation\n _x = _v341\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n _x = val2\n buff.write(_get_struct_2dBd().pack(_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight))\n _x = self.goal.request.path_constraints.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.goal.request.path_constraints.joint_constraints)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.request.path_constraints.joint_constraints:\n _x = val1.joint_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_get_struct_4d().pack(_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight))\n length = len(self.goal.request.path_constraints.position_constraints)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.request.path_constraints.position_constraints:\n _v342 = val1.header\n buff.write(_get_struct_I().pack(_v342.seq))\n _v343 = _v342.stamp\n _x = _v343\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v342.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v344 = val1.target_point_offset\n _x = _v344\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v345 = val1.constraint_region\n length = len(_v345.primitives)\n buff.write(_struct_I.pack(length))\n for val3 in _v345.primitives:\n buff.write(_get_struct_B().pack(val3.type))\n length = len(val3.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.dimensions.tostring())\n length = len(_v345.primitive_poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v345.primitive_poses:\n _v346 = val3.position\n _x = _v346\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v347 = val3.orientation\n _x = _v347\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(_v345.meshes)\n buff.write(_struct_I.pack(length))\n for val3 in _v345.meshes:\n length = len(val3.triangles)\n buff.write(_struct_I.pack(length))\n for val4 in val3.triangles:\n buff.write(val4.vertex_indices.tostring())\n length = len(val3.vertices)\n buff.write(_struct_I.pack(length))\n for val4 in val3.vertices:\n _x = val4\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(_v345.mesh_poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v345.mesh_poses:\n _v348 = val3.position\n _x = _v348\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v349 = val3.orientation\n _x = _v349\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n buff.write(_get_struct_d().pack(val1.weight))\n length = len(self.goal.request.path_constraints.orientation_constraints)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.request.path_constraints.orientation_constraints:\n _v350 = val1.header\n buff.write(_get_struct_I().pack(_v350.seq))\n _v351 = _v350.stamp\n _x = _v351\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v350.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v352 = val1.orientation\n _x = _v352\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1\n buff.write(_get_struct_4d().pack(_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight))\n length = len(self.goal.request.path_constraints.visibility_constraints)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.request.path_constraints.visibility_constraints:\n buff.write(_get_struct_d().pack(val1.target_radius))\n _v353 = val1.target_pose\n _v354 = _v353.header\n buff.write(_get_struct_I().pack(_v354.seq))\n _v355 = _v354.stamp\n _x = _v355\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v354.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v356 = _v353.pose\n _v357 = _v356.position\n _x = _v357\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v358 = _v356.orientation\n _x = _v358\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n buff.write(_get_struct_i().pack(val1.cone_sides))\n _v359 = val1.sensor_pose\n _v360 = _v359.header\n buff.write(_get_struct_I().pack(_v360.seq))\n _v361 = _v360.stamp\n _x = _v361\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v360.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v362 = _v359.pose\n _v363 = _v362.position\n _x = _v363\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v364 = _v362.orientation\n _x = _v364\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n _x = val1\n buff.write(_get_struct_2dBd().pack(_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight))\n length = len(self.goal.request.trajectory_constraints.constraints)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.request.trajectory_constraints.constraints:\n _x = val1.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.joint_constraints)\n buff.write(_struct_I.pack(length))\n for val2 in val1.joint_constraints:\n _x = val2.joint_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2\n buff.write(_get_struct_4d().pack(_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight))\n length = len(val1.position_constraints)\n buff.write(_struct_I.pack(length))\n for val2 in val1.position_constraints:\n _v365 = val2.header\n buff.write(_get_struct_I().pack(_v365.seq))\n _v366 = _v365.stamp\n _x = _v366\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v365.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v367 = val2.target_point_offset\n _x = _v367\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v368 = val2.constraint_region\n length = len(_v368.primitives)\n buff.write(_struct_I.pack(length))\n for val4 in _v368.primitives:\n buff.write(_get_struct_B().pack(val4.type))\n length = len(val4.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val4.dimensions.tostring())\n length = len(_v368.primitive_poses)\n buff.write(_struct_I.pack(length))\n for val4 in _v368.primitive_poses:\n _v369 = val4.position\n _x = _v369\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v370 = val4.orientation\n _x = _v370\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(_v368.meshes)\n buff.write(_struct_I.pack(length))\n for val4 in _v368.meshes:\n length = len(val4.triangles)\n buff.write(_struct_I.pack(length))\n for val5 in val4.triangles:\n buff.write(val5.vertex_indices.tostring())\n length = len(val4.vertices)\n buff.write(_struct_I.pack(length))\n for val5 in val4.vertices:\n _x = val5\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(_v368.mesh_poses)\n buff.write(_struct_I.pack(length))\n for val4 in _v368.mesh_poses:\n _v371 = val4.position\n _x = _v371\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v372 = val4.orientation\n _x = _v372\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n buff.write(_get_struct_d().pack(val2.weight))\n length = len(val1.orientation_constraints)\n buff.write(_struct_I.pack(length))\n for val2 in val1.orientation_constraints:\n _v373 = val2.header\n buff.write(_get_struct_I().pack(_v373.seq))\n _v374 = _v373.stamp\n _x = _v374\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v373.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v375 = val2.orientation\n _x = _v375\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n _x = val2.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2\n buff.write(_get_struct_4d().pack(_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight))\n length = len(val1.visibility_constraints)\n buff.write(_struct_I.pack(length))\n for val2 in val1.visibility_constraints:\n buff.write(_get_struct_d().pack(val2.target_radius))\n _v376 = val2.target_pose\n _v377 = _v376.header\n buff.write(_get_struct_I().pack(_v377.seq))\n _v378 = _v377.stamp\n _x = _v378\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v377.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v379 = _v376.pose\n _v380 = _v379.position\n _x = _v380\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v381 = _v379.orientation\n _x = _v381\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n buff.write(_get_struct_i().pack(val2.cone_sides))\n _v382 = val2.sensor_pose\n _v383 = _v382.header\n buff.write(_get_struct_I().pack(_v383.seq))\n _v384 = _v383.stamp\n _x = _v384\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v383.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v385 = _v382.pose\n _v386 = _v385.position\n _x = _v386\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v387 = _v385.orientation\n _x = _v387\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n _x = val2\n buff.write(_get_struct_2dBd().pack(_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight))\n length = len(self.goal.request.reference_trajectories)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.request.reference_trajectories:\n _v388 = val1.header\n buff.write(_get_struct_I().pack(_v388.seq))\n _v389 = _v388.stamp\n _x = _v389\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v388.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.joint_trajectory)\n buff.write(_struct_I.pack(length))\n for val2 in val1.joint_trajectory:\n _v390 = val2.header\n buff.write(_get_struct_I().pack(_v390.seq))\n _v391 = _v390.stamp\n _x = _v391\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v390.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.joint_names)\n buff.write(_struct_I.pack(length))\n for val3 in val2.joint_names:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n length = len(val2.points)\n buff.write(_struct_I.pack(length))\n for val3 in val2.points:\n length = len(val3.positions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.positions.tostring())\n length = len(val3.velocities)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.velocities.tostring())\n length = len(val3.accelerations)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.accelerations.tostring())\n length = len(val3.effort)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.effort.tostring())\n _v392 = val3.time_from_start\n _x = _v392\n buff.write(_get_struct_2i().pack(_x.secs, _x.nsecs))\n length = len(val1.cartesian_trajectory)\n buff.write(_struct_I.pack(length))\n for val2 in val1.cartesian_trajectory:\n _v393 = val2.header\n buff.write(_get_struct_I().pack(_v393.seq))\n _v394 = _v393.stamp\n _x = _v394\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v393.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val2.tracked_frame\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val2.points)\n buff.write(_struct_I.pack(length))\n for val3 in val2.points:\n _v395 = val3.point\n _v396 = _v395.pose\n _v397 = _v396.position\n _x = _v397\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v398 = _v396.orientation\n _x = _v398\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n _v399 = _v395.velocity\n _v400 = _v399.linear\n _x = _v400\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v401 = _v399.angular\n _x = _v401\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v402 = _v395.acceleration\n _v403 = _v402.linear\n _x = _v403\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v404 = _v402.angular\n _x = _v404\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v405 = val3.time_from_start\n _x = _v405\n buff.write(_get_struct_2i().pack(_x.secs, _x.nsecs))\n _x = self.goal.request.planner_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self.goal.request.group_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_i3d().pack(_x.goal.request.num_planning_attempts, _x.goal.request.allowed_planning_time, _x.goal.request.max_velocity_scaling_factor, _x.goal.request.max_acceleration_scaling_factor))\n _x = self.goal.planning_options.planning_scene_diff.name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_3I().pack(_x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs))\n _x = self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.position)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.position.tostring())\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.velocity)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.velocity.tostring())\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.effort)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.effort.tostring())\n _x = self\n buff.write(_get_struct_3I().pack(_x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.nsecs))\n _x = self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms:\n _v406 = val1.translation\n _x = _v406\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v407 = val1.rotation\n _x = _v407\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist:\n _v408 = val1.linear\n _x = _v408\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v409 = val1.angular\n _x = _v409\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench:\n _v410 = val1.force\n _x = _v410\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v411 = val1.torque\n _x = _v411\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects:\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v412 = val1.object\n _v413 = _v412.header\n buff.write(_get_struct_I().pack(_v413.seq))\n _v414 = _v413.stamp\n _x = _v414\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v413.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v412.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v415 = _v412.type\n _x = _v415.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v415.db\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(_v412.primitives)\n buff.write(_struct_I.pack(length))\n for val3 in _v412.primitives:\n buff.write(_get_struct_B().pack(val3.type))\n length = len(val3.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.dimensions.tostring())\n length = len(_v412.primitive_poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v412.primitive_poses:\n _v416 = val3.position\n _x = _v416\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v417 = val3.orientation\n _x = _v417\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(_v412.meshes)\n buff.write(_struct_I.pack(length))\n for val3 in _v412.meshes:\n length = len(val3.triangles)\n buff.write(_struct_I.pack(length))\n for val4 in val3.triangles:\n buff.write(val4.vertex_indices.tostring())\n length = len(val3.vertices)\n buff.write(_struct_I.pack(length))\n for val4 in val3.vertices:\n _x = val4\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(_v412.mesh_poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v412.mesh_poses:\n _v418 = val3.position\n _x = _v418\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v419 = val3.orientation\n _x = _v419\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(_v412.planes)\n buff.write(_struct_I.pack(length))\n for val3 in _v412.planes:\n buff.write(val3.coef.tostring())\n length = len(_v412.plane_poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v412.plane_poses:\n _v420 = val3.position\n _x = _v420\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v421 = val3.orientation\n _x = _v421\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(_v412.subframe_names)\n buff.write(_struct_I.pack(length))\n for val3 in _v412.subframe_names:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n length = len(_v412.subframe_poses)\n buff.write(_struct_I.pack(length))\n for val3 in _v412.subframe_poses:\n _v422 = val3.position\n _x = _v422\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v423 = val3.orientation\n _x = _v423\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n buff.write(_get_struct_b().pack(_v412.operation))\n length = len(val1.touch_links)\n buff.write(_struct_I.pack(length))\n for val2 in val1.touch_links:\n length = len(val2)\n if python3 or type(val2) == unicode:\n val2 = val2.encode('utf-8')\n length = len(val2)\n buff.write(struct.pack('<I%ss'%length, length, val2))\n _v424 = val1.detach_posture\n _v425 = _v424.header\n buff.write(_get_struct_I().pack(_v425.seq))\n _v426 = _v425.stamp\n _x = _v426\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v425.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(_v424.joint_names)\n buff.write(_struct_I.pack(length))\n for val3 in _v424.joint_names:\n length = len(val3)\n if python3 or type(val3) == unicode:\n val3 = val3.encode('utf-8')\n length = len(val3)\n buff.write(struct.pack('<I%ss'%length, length, val3))\n length = len(_v424.points)\n buff.write(_struct_I.pack(length))\n for val3 in _v424.points:\n length = len(val3.positions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.positions.tostring())\n length = len(val3.velocities)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.velocities.tostring())\n length = len(val3.accelerations)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.accelerations.tostring())\n length = len(val3.effort)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val3.effort.tostring())\n _v427 = val3.time_from_start\n _x = _v427\n buff.write(_get_struct_2i().pack(_x.secs, _x.nsecs))\n buff.write(_get_struct_d().pack(val1.weight))\n buff.write(_get_struct_B().pack(self.goal.planning_options.planning_scene_diff.robot_state.is_diff))\n _x = self.goal.planning_options.planning_scene_diff.robot_model_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(self.goal.planning_options.planning_scene_diff.fixed_frame_transforms)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.fixed_frame_transforms:\n _v428 = val1.header\n buff.write(_get_struct_I().pack(_v428.seq))\n _v429 = _v428.stamp\n _x = _v429\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v428.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.child_frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v430 = val1.transform\n _v431 = _v430.translation\n _x = _v431\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v432 = _v430.rotation\n _x = _v432\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values:\n length = len(val1.enabled)\n buff.write(_struct_I.pack(length))\n pattern = '<%sB'%length\n buff.write(val1.enabled.tostring())\n length = len(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names:\n length = len(val1)\n if python3 or type(val1) == unicode:\n val1 = val1.encode('utf-8')\n length = len(val1)\n buff.write(struct.pack('<I%ss'%length, length, val1))\n length = len(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values)\n buff.write(_struct_I.pack(length))\n pattern = '<%sB'%length\n buff.write(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values.tostring())\n length = len(self.goal.planning_options.planning_scene_diff.link_padding)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.link_padding:\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_d().pack(val1.padding))\n length = len(self.goal.planning_options.planning_scene_diff.link_scale)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.link_scale:\n _x = val1.link_name\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_d().pack(val1.scale))\n length = len(self.goal.planning_options.planning_scene_diff.object_colors)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.object_colors:\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v433 = val1.color\n _x = _v433\n buff.write(_get_struct_4f().pack(_x.r, _x.g, _x.b, _x.a))\n length = len(self.goal.planning_options.planning_scene_diff.world.collision_objects)\n buff.write(_struct_I.pack(length))\n for val1 in self.goal.planning_options.planning_scene_diff.world.collision_objects:\n _v434 = val1.header\n buff.write(_get_struct_I().pack(_v434.seq))\n _v435 = _v434.stamp\n _x = _v435\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\n _x = _v434.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = val1.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _v436 = val1.type\n _x = _v436.key\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = _v436.db\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n length = len(val1.primitives)\n buff.write(_struct_I.pack(length))\n for val2 in val1.primitives:\n buff.write(_get_struct_B().pack(val2.type))\n length = len(val2.dimensions)\n buff.write(_struct_I.pack(length))\n pattern = '<%sd'%length\n buff.write(val2.dimensions.tostring())\n length = len(val1.primitive_poses)\n buff.write(_struct_I.pack(length))\n for val2 in val1.primitive_poses:\n _v437 = val2.position\n _x = _v437\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v438 = val2.orientation\n _x = _v438\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(val1.meshes)\n buff.write(_struct_I.pack(length))\n for val2 in val1.meshes:\n length = len(val2.triangles)\n buff.write(_struct_I.pack(length))\n for val3 in val2.triangles:\n buff.write(val3.vertex_indices.tostring())\n length = len(val2.vertices)\n buff.write(_struct_I.pack(length))\n for val3 in val2.vertices:\n _x = val3\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n length = len(val1.mesh_poses)\n buff.write(_struct_I.pack(length))\n for val2 in val1.mesh_poses:\n _v439 = val2.position\n _x = _v439\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v440 = val2.orientation\n _x = _v440\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(val1.planes)\n buff.write(_struct_I.pack(length))\n for val2 in val1.planes:\n buff.write(val2.coef.tostring())\n length = len(val1.plane_poses)\n buff.write(_struct_I.pack(length))\n for val2 in val1.plane_poses:\n _v441 = val2.position\n _x = _v441\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v442 = val2.orientation\n _x = _v442\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n length = len(val1.subframe_names)\n buff.write(_struct_I.pack(length))\n for val2 in val1.subframe_names:\n length = len(val2)\n if python3 or type(val2) == unicode:\n val2 = val2.encode('utf-8')\n length = len(val2)\n buff.write(struct.pack('<I%ss'%length, length, val2))\n length = len(val1.subframe_poses)\n buff.write(_struct_I.pack(length))\n for val2 in val1.subframe_poses:\n _v443 = val2.position\n _x = _v443\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\n _v444 = val2.orientation\n _x = _v444\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\n buff.write(_get_struct_b().pack(val1.operation))\n _x = self\n buff.write(_get_struct_3I().pack(_x.goal.planning_options.planning_scene_diff.world.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.nsecs))\n _x = self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_get_struct_7d3I().pack(_x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.w, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.nsecs))\n _x = self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_B().pack(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary))\n _x = self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n buff.write(_get_struct_d().pack(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.resolution))\n length = len(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.data)\n buff.write(_struct_I.pack(length))\n pattern = '<%sb'%length\n buff.write(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.data.tostring())\n _x = self\n buff.write(_get_struct_3BidBid().pack(_x.goal.planning_options.planning_scene_diff.is_diff, _x.goal.planning_options.plan_only, _x.goal.planning_options.look_around, _x.goal.planning_options.look_around_attempts, _x.goal.planning_options.max_safe_execution_cost, _x.goal.planning_options.replan, _x.goal.planning_options.replan_attempts, _x.goal.planning_options.replan_delay))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_3I.pack(_x.ctrl.header.seq, _x.ctrl.header.stamp.secs, _x.ctrl.header.stamp.nsecs))\n _x = self.ctrl.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_3I.pack(_x.ctrl.left_em.header.seq, _x.ctrl.left_em.header.stamp.secs, _x.ctrl.left_em.header.stamp.nsecs))\n _x = self.ctrl.left_em.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_f3I.pack(_x.ctrl.left_em.rate, _x.ctrl.right_em.header.seq, _x.ctrl.right_em.header.stamp.secs, _x.ctrl.right_em.header.stamp.nsecs))\n _x = self.ctrl.right_em.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_f3I.pack(_x.ctrl.right_em.rate, _x.ctrl.left_em_servo.header.seq, _x.ctrl.left_em_servo.header.stamp.secs, _x.ctrl.left_em_servo.header.stamp.nsecs))\n _x = self.ctrl.left_em_servo.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_2fB3I.pack(_x.ctrl.left_em_servo.anglex, _x.ctrl.left_em_servo.angley, _x.ctrl.left_em_servo.fix, _x.ctrl.right_em_servo.header.seq, _x.ctrl.right_em_servo.header.stamp.secs, _x.ctrl.right_em_servo.header.stamp.nsecs))\n _x = self.ctrl.right_em_servo.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_2fB.pack(_x.ctrl.right_em_servo.anglex, _x.ctrl.right_em_servo.angley, _x.ctrl.right_em_servo.fix))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_4B3I.pack(_x.s1, _x.s2, _x.s3, _x.s4, _x.p1.header.seq, _x.p1.header.stamp.secs, _x.p1.header.stamp.nsecs))\n _x = self.p1.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_3d3I.pack(_x.p1.point.x, _x.p1.point.y, _x.p1.point.z, _x.p2.header.seq, _x.p2.header.stamp.secs, _x.p2.header.stamp.nsecs))\n _x = self.p2.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_3d3I.pack(_x.p2.point.x, _x.p2.point.y, _x.p2.point.z, _x.p3.header.seq, _x.p3.header.stamp.secs, _x.p3.header.stamp.nsecs))\n _x = self.p3.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_3d3I.pack(_x.p3.point.x, _x.p3.point.y, _x.p3.point.z, _x.p4.header.seq, _x.p4.header.stamp.secs, _x.p4.header.stamp.nsecs))\n _x = self.p4.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.pack('<I%ss'%length, length, _x))\n _x = self\n buff.write(_struct_3d.pack(_x.p4.point.x, _x.p4.point.y, _x.p4.point.z))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(_x))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(_x))))","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_2i.pack(_x.watch_dog, _x.num))\n for val1 in self.users:\n _x = val1\n buff.write(_struct_2i.pack(_x.id, _x.trackedId))\n _v25 = val1.date_discovered\n _x = _v25\n buff.write(_struct_2I.pack(_x.t_sec, _x.t_usec))\n _v26 = val1.date\n _x = _v26\n buff.write(_struct_2I.pack(_x.t_sec, _x.t_usec))\n _v27 = val1.state\n buff.write(_struct_I.pack(_v27.value))\n _v28 = val1.skeleton\n for val3 in _v28.joint:\n buff.write(_struct_d.pack(val3.confidence))\n _v29 = val3.position\n _x = _v29\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v30 = _v28.unused\n buff.write(_struct_I.pack(_v30.value))\n for val1 in self.filtered_users:\n _x = val1\n buff.write(_struct_2i.pack(_x.id, _x.trackedId))\n _v31 = val1.date_discovered\n _x = _v31\n buff.write(_struct_2I.pack(_x.t_sec, _x.t_usec))\n _v32 = val1.date\n _x = _v32\n buff.write(_struct_2I.pack(_x.t_sec, _x.t_usec))\n _v33 = val1.state\n buff.write(_struct_I.pack(_v33.value))\n _v34 = val1.skeleton\n for val3 in _v34.joint:\n buff.write(_struct_d.pack(val3.confidence))\n _v35 = val3.position\n _x = _v35\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\n _v36 = _v34.unused\n buff.write(_struct_I.pack(_v36.value))\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)","def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\n _x = self.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_2I().pack(_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs))\n _x = self.goal_id.id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_2i3I().pack(_x.goal.action_code, _x.goal.object_code, _x.goal.pickup_frame.header.seq, _x.goal.pickup_frame.header.stamp.secs, _x.goal.pickup_frame.header.stamp.nsecs))\n _x = self.goal.pickup_frame.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_7d3I().pack(_x.goal.pickup_frame.pose.position.x, _x.goal.pickup_frame.pose.position.y, _x.goal.pickup_frame.pose.position.z, _x.goal.pickup_frame.pose.orientation.x, _x.goal.pickup_frame.pose.orientation.y, _x.goal.pickup_frame.pose.orientation.z, _x.goal.pickup_frame.pose.orientation.w, _x.goal.dropoff_frame.header.seq, _x.goal.dropoff_frame.header.stamp.secs, _x.goal.dropoff_frame.header.stamp.nsecs))\n _x = self.goal.dropoff_frame.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_7d3I().pack(_x.goal.dropoff_frame.pose.position.x, _x.goal.dropoff_frame.pose.position.y, _x.goal.dropoff_frame.pose.position.z, _x.goal.dropoff_frame.pose.orientation.x, _x.goal.dropoff_frame.pose.orientation.y, _x.goal.dropoff_frame.pose.orientation.z, _x.goal.dropoff_frame.pose.orientation.w, _x.goal.gripper_goal_frame.header.seq, _x.goal.gripper_goal_frame.header.stamp.secs, _x.goal.gripper_goal_frame.header.stamp.nsecs))\n _x = self.goal.gripper_goal_frame.header.frame_id\n length = len(_x)\n if python3 or type(_x) == unicode:\n _x = _x.encode('utf-8')\n length = len(_x)\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\n _x = self\n buff.write(_get_struct_7di().pack(_x.goal.gripper_goal_frame.pose.position.x, _x.goal.gripper_goal_frame.pose.position.y, _x.goal.gripper_goal_frame.pose.position.z, _x.goal.gripper_goal_frame.pose.orientation.x, _x.goal.gripper_goal_frame.pose.orientation.y, _x.goal.gripper_goal_frame.pose.orientation.z, _x.goal.gripper_goal_frame.pose.orientation.w, _x.goal.perception_source))\n except struct.error as se: self._check_types(struct.error(\"%s: '%s' when writing '%s'\" % (type(se), str(se), str(locals().get('_x', self)))))\n except TypeError as te: self._check_types(ValueError(\"%s: '%s' when writing '%s'\" % (type(te), str(te), str(locals().get('_x', self)))))","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 56\n (_x.command, _x.set_num, _x.paraset_byte54, _x.paraset_byte53, _x.paraset_byte52, _x.paraset_byte51, _x.paraset_byte50, _x.paraset_byte49, _x.paraset_byte48, _x.paraset_byte47, _x.paraset_byte46, _x.paraset_byte45, _x.paraset_byte44, _x.paraset_byte43, _x.paraset_byte42, _x.paraset_byte41, _x.paraset_byte40, _x.paraset_byte39, _x.paraset_byte38, _x.paraset_byte37, _x.paraset_byte36, _x.paraset_byte35, _x.paraset_byte34, _x.paraset_byte33, _x.paraset_byte32, _x.paraset_byte31, _x.paraset_byte30, _x.paraset_byte29, _x.paraset_byte28, _x.paraset_byte27, _x.paraset_byte26, _x.paraset_byte25, _x.paraset_byte24, _x.paraset_byte23, _x.paraset_byte22, _x.paraset_byte21, _x.paraset_byte20, _x.paraset_byte19, _x.paraset_byte18, _x.paraset_byte17, _x.paraset_byte16, _x.paraset_byte15, _x.paraset_byte14, _x.paraset_byte13, _x.paraset_byte12, _x.paraset_byte11, _x.paraset_byte10, _x.paraset_byte9, _x.paraset_byte8, _x.paraset_byte7, _x.paraset_byte6, _x.paraset_byte5, _x.paraset_byte4, _x.paraset_byte3, _x.paraset_byte2, _x.paraset_byte1,) = _get_struct_56B().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill"],"string":"[\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n pass\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_2d2q14dq.pack(_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret))\\n _x = self.msg\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n pass\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n pass\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self.tsp_turtles\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.conveyor_turtle\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.catch_turtle\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n length = len(self.name)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.name:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.position)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.position.tostring())\\n length = len(self.velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.velocity.tostring())\\n length = len(self.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.effort.tostring())\\n length = len(self.position_command)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.position_command.tostring())\\n length = len(self.velocity_command)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.velocity_command.tostring())\\n length = len(self.effort_command)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.effort_command.tostring())\\n length = len(self.accelerometer)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.accelerometer:\\n _x = val1\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(self.gyro)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.gyro:\\n _x = val1\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(self.orientation)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.orientation:\\n _x = val1\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.deflection)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.deflection.tostring())\\n length = len(self.deflection_velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.deflection_velocity.tostring())\\n length = len(self.motor_velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.motor_velocity.tostring())\\n length = len(self.motor_current)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.motor_current.tostring())\\n length = len(self.motor_winding_current)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.motor_winding_current.tostring())\\n length = len(self.motor_sensor_temperature)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.motor_sensor_temperature.tostring())\\n length = len(self.motor_winding_temperature)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.motor_winding_temperature.tostring())\\n length = len(self.motor_housing_temperature)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.motor_housing_temperature.tostring())\\n length = len(self.board_temperature)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.board_temperature.tostring())\\n length = len(self.processor_temperature)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.processor_temperature.tostring())\\n length = len(self.voltage)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.voltage.tostring())\\n length = len(self.led_color)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.led_color:\\n _x = val1\\n buff.write(_get_struct_4f().pack(_x.r, _x.g, _x.b, _x.a))\\n length = len(self.sequence_number)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sQ'%length\\n buff.write(self.sequence_number.tostring())\\n length = len(self.receive_time)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sQ'%length\\n buff.write(self.receive_time.tostring())\\n length = len(self.transmit_time)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sQ'%length\\n buff.write(self.transmit_time.tostring())\\n length = len(self.hardware_receive_time)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sQ'%length\\n buff.write(self.hardware_receive_time.tostring())\\n length = len(self.hardware_transmit_time)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sQ'%length\\n buff.write(self.hardware_transmit_time.tostring())\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_ihih3i3d2i2d().pack(_x.originId, _x.originType, _x.destinationId, _x.destinationType, _x.range, _x.ts, _x.seq, _x.rxPower, _x.channel, _x.datarate, _x.prf, _x.preambleLength, _x.txGain, _x.angle))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n buff.write(_struct_d.pack(self.i))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n buff.write(_get_struct_b().pack(self.error))\\n length = len(self.start_pos)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(self.start_pos.tostring())\\n length = len(self.target_pos)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(self.target_pos.tostring())\\n length = len(self.plans)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.plans:\\n _x = val1.joint\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.trajectory)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(val1.trajectory.tostring())\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_Q8d().pack(_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w))\\n buff.write(self.pose.covariance.tostring())\\n _x = self\\n buff.write(_get_struct_5d().pack(_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h))\\n _x = self.modality\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.embed_vector)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(self.embed_vector.tostring())\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_7q.pack(_x.s_x, _x.s_y, _x.f_x, _x.f_y, _x.step_size, _x.bias_param, _x.max_iteration))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_2B2If().pack(_x.role, _x.id, _x.local_time, _x.system_time, _x.voltage))\\n buff.write(self.pos_3d.tostring())\\n buff.write(self.eop_3d.tostring())\\n buff.write(self.vel_3d.tostring())\\n buff.write(self.angle_3d.tostring())\\n buff.write(self.quaternion.tostring())\\n buff.write(self.imu_gyro_3d.tostring())\\n buff.write(self.imu_acc_3d.tostring())\\n length = len(self.nodes)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.nodes:\\n _x = val1\\n buff.write(_get_struct_2B3f().pack(_x.role, _x.id, _x.dis, _x.fp_rssi, _x.rx_rssi))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_h16fh8f().pack(_x.id, _x.age, _x.velocidad_relativa_x, _x.velocidad_relativa_y, _x.velocidad_absoluta_x, _x.velocidad_absoluta_y, _x.velocidad_absoluta_sigma_x, _x.velocidad_absoluta_sigma_y, _x.bounding_box_centro_x, _x.bounding_box_centro_y, _x.bounding_box_largo, _x.bounding_box_ancho, _x.object_box_centro_x, _x.object_box_centro_y, _x.object_box_orientacion, _x.object_box_size_x, _x.object_box_size_y, _x.clasificacion, _x.clasificacion_age, _x.clasificacion_certeza, _x.punto_cercano_x, _x.punto_cercano_y, _x.punto_referencia_x, _x.punto_referencia_y, _x.punto_referencia_sigma_x, _x.punto_referencia_sigma_y))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_12B.pack(_x.hlive, _x.hstate, _x.hfinished, _x.pressure, _x.c1, _x.c2, _x.c3, _x.c4, _x.c5, _x.c6, _x.c7, _x.c8))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n length = len(self.objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.objects:\\n _v7 = val1.header\\n buff.write(_struct_I.pack(_v7.seq))\\n _v8 = _v7.stamp\\n _x = _v8\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v7.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.object_class\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(val1.confidence))\\n _v9 = val1.roi\\n _x = _v9\\n buff.write(_struct_4IB.pack(_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_14d.pack(_x.u0, _x.h0, _x.vl, _x.i0, _x.wv, _x.wh, _x.wi, _x.h_stop, _x.T_gap, _x.v_max, _x.v_min, _x.h_min, _x.i_max, _x.i_min))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_ih2B().pack(_x.rcvTOW, _x.week, _x.numSV, _x.reserved1))\\n length = len(self.sv)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.sv:\\n _x = val1\\n buff.write(_get_struct_2dfB2bB().pack(_x.cpMes, _x.prMes, _x.doMes, _x.sv, _x.mesQI, _x.cno, _x.lli))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_6d2IB().pack(_x.position.x, _x.position.y, _x.position.z, _x.position.roll, _x.position.pitch, _x.position.yaw, _x.position.stamp.secs, _x.position.stamp.nsecs, _x.is_Known))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.canmsg\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_Bf2B2f2B2fBf().pack(_x.track_id, _x.track_lat_rate, _x.track_group_changed, _x.track_status, _x.track_angle, _x.track_range, _x.track_bridge_object, _x.track_rolling_count, _x.track_width, _x.track_range_accel, _x.track_med_range_mode, _x.track_range_rate))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self.time\\n buff.write(_get_struct_d().pack(_x))\\n length = len(self.q_target)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.q_target.tostring())\\n length = len(self.qd_target)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.qd_target.tostring())\\n length = len(self.qdd_target)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.qdd_target.tostring())\\n length = len(self.i_target)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.i_target.tostring())\\n length = len(self.m_target)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.m_target.tostring())\\n length = len(self.q_actual)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.q_actual.tostring())\\n length = len(self.qd_actual)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.qd_actual.tostring())\\n length = len(self.i_actual)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.i_actual.tostring())\\n length = len(self.tool_acc_values)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.tool_acc_values.tostring())\\n length = len(self.tcp_force)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.tcp_force.tostring())\\n length = len(self.tool_vector)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.tool_vector.tostring())\\n length = len(self.tcp_speed)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.tcp_speed.tostring())\\n _x = self.digital_input_bits\\n buff.write(_get_struct_d().pack(_x))\\n length = len(self.motor_temperatures)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.motor_temperatures.tostring())\\n _x = self\\n buff.write(_get_struct_3d().pack(_x.controller_timer, _x.test_value, _x.robot_mode))\\n length = len(self.joint_modes)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.joint_modes.tostring())\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.line)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.line:\\n _x = val1\\n buff.write(_get_struct_4if().pack(_x.x1, _x.y1, _x.x2, _x.y2, _x.color))\\n length = len(self.circle)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.circle:\\n _x = val1\\n buff.write(_get_struct_3if().pack(_x.x, _x.y, _x.radius, _x.color))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_2ib6d12B().pack(_x.Timestamp_sec, _x.Timestamp_nsec, _x.IdModulo, _x.InputVolA, _x.InputVolB, _x.InputCorrA, _x.InputCorrB, _x.OutputAnlg1, _x.OutputAnlg2, _x.InputDig1, _x.InputDig2, _x.InputDig3, _x.InputDig4, _x.OutputDig1, _x.OutputDig2, _x.OutputDig3, _x.OutputDig4, _x.OutputDig5, _x.OutputDig6, _x.OutputDig7, _x.OutputDig8))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n buff.write(_struct_B.pack(self.type))\\n _x = self.model\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.head_version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.body_version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.arm_version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_2B3i.pack(_x.has_laser, _x.has_extended_arms, _x.number_of_legs, _x.number_of_arms, _x.number_of_hands))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n buff.write(self.thumb.tostring())\\n buff.write(self.index.tostring())\\n buff.write(self.middle.tostring())\\n buff.write(self.ring.tostring())\\n buff.write(self.little.tostring())\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.red_u)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.red_u.tostring())\\n length = len(self.red_v)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.red_v.tostring())\\n length = len(self.yellow_u)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.yellow_u.tostring())\\n length = len(self.yellow_v)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.yellow_v.tostring())\\n length = len(self.green_u)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.green_u.tostring())\\n length = len(self.green_v)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.green_v.tostring())\\n length = len(self.purple_u)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.purple_u.tostring())\\n length = len(self.purple_v)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.purple_v.tostring())\\n length = len(self.orange_u)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.orange_u.tostring())\\n length = len(self.orange_v)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.orange_v.tostring())\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_12d2f3d().pack(_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_9f.pack(_x.c0.x, _x.c0.y, _x.c0.z, _x.c1.x, _x.c1.y, _x.c1.z, _x.c2.x, _x.c2.y, _x.c2.z))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_3B.pack(_x.gear, _x.front_diff, _x.rear_diff))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.polygons)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.polygons:\\n _v3 = val1.stamp\\n _x = _v3\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n buff.write(_struct_I.pack(val1.ID))\\n buff.write(val1.parameter.tostring())\\n length = len(val1.score)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.score:\\n _x = val2\\n buff.write(_struct_If.pack(_x.ID, _x.prob))\\n length = len(val1.polyline)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.polyline:\\n _x = val2\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.edge_prob))\\n length = len(val1.features)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.features:\\n _x = val2\\n buff.write(_struct_3fI.pack(_x.x, _x.y, _x.z, _x.ID))\\n _x = val1.energy\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(val1.weight))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_6d2I2iB().pack(_x.x, _x.y, _x.z, _x.yaw, _x.v_des, _x.a_des, _x.t_start.secs, _x.t_start.nsecs, _x.duration.secs, _x.duration.nsecs, _x.relative))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.base.header.seq, _x.base.header.stamp.secs, _x.base.header.stamp.nsecs))\\n _x = self.base.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_5f.pack(_x.base.cell_width, _x.base.cell_height, _x.base.position.x, _x.base.position.y, _x.base.position.z))\\n length = len(self.base.points)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.base.points:\\n _x = val1\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n length = len(self.base.intensity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(self.base.intensity.tostring())\\n buff.write(_struct_b.pack(self.base.cost))\\n _x = self.base.label\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_2f.pack(_x.mean_height, _x.mean_intensity))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_B12d.pack(_x.visible, _x.x, _x.y, _x.z, _x.u, _x.v, _x.w, _x.phi, _x.theta, _x.psi, _x.p, _x.q, _x.r))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_b7d().pack(_x.decision, _x.distance, _x.oriX, _x.oriY, _x.oriZ, _x.placX, _x.placY, _x.placZ))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n buff.write(_get_struct_i().pack(self.numberOfTSPTurtles))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.cmd\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.cat\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_I3f2d13fH().pack(_x.sample_count, _x.ekf_roll, _x.ekf_pitch, _x.ekf_yaw, _x.ekf_lat, _x.ekf_lon, _x.ekf_alt, _x.ekf_vN, _x.ekf_vE, _x.ekf_vD, _x.ekf_vX, _x.ekf_vY, _x.ekf_vZ, _x.rad_gyro_X, _x.rad_gyro_Y, _x.rad_gyro_Z, _x.angular_acc_X, _x.angular_acc_Y, _x.angular_acc_Z, _x.alt_DVL))\\n _x = self.dvl_error_code\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\\n else:\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_B9f2i7f().pack(_x.flag_to_check, _x.imu_deg_gyro_X, _x.imu_deg_gyro_Y, _x.imu_deg_gyro_Z, _x.imu_mag_X, _x.imu_mag_Y, _x.imu_mag_Z, _x.imu_acc_X, _x.imu_acc_Y, _x.imu_acc_Z, _x.gps_lat, _x.gps_lon, _x.gps_alt, _x.gps_vN, _x.gps_vE, _x.gps_vD, _x.dvl_vX, _x.dvl_vY, _x.dvl_vZ))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_2I2d4fh2B.pack(_x.date, _x.time, _x.longitude_RTK, _x.latitude_RTK, _x.height_above_sea_RTK, _x.velocity_north, _x.velocity_east, _x.velocity_ground, _x.yaw, _x.position_flag, _x.yaw_flag))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_q6d().pack(_x.control.mode, _x.control.duty_cycle, _x.control.current, _x.control.brake, _x.control.speed, _x.control.position, _x.control.servo))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_14id2i.pack(_x.lnid, _x.did, _x.blid, _x.flid, _x.bnid, _x.fnid, _x.jct, _x.blid2, _x.blid3, _x.blid4, _x.flid2, _x.flid3, _x.flid4, _x.clossid, _x.span, _x.lcnt, _x.lno))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_2I4d().pack(_x.h_min, _x.h_max, _x.s_min, _x.s_max, _x.v_min, _x.v_max))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_H2BiIbB4H2B3I().pack(_x.mask, _x.dynModel, _x.fixMode, _x.fixedAlt, _x.fixedAltVar, _x.minElev, _x.drLimit, _x.pDop, _x.tDop, _x.pAcc, _x.tAcc, _x.staticHoldThresh, _x.dgpsTimeOut, _x.reserved2, _x.reserved3, _x.reserved4))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n length = len(self.cnt)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.cnt:\\n _v7 = val1.header\\n buff.write(_get_struct_I().pack(_v7.seq))\\n _v8 = _v7.stamp\\n _x = _v8\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v7.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_i().pack(val1.devadd))\\n _v9 = val1.now\\n _x = _v9\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n buff.write(_get_struct_I().pack(val1.encounter))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_B2i2B.pack(_x.partial_view, _x.resolution, _x.type, _x.use_simple_occlusion, _x.add_point_colors))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_2i16dih().pack(_x.Timestamp_sec, _x.Timestamp_nsec, _x.Roll, _x.Pitch, _x.Yaw, _x.Wx, _x.Wy, _x.Wz, _x.AcelX, _x.AcelY, _x.AcelZ, _x.VelN, _x.VelE, _x.VelZ, _x.GPSLong, _x.GPSLat, _x.GPSAlt, _x.Temp, _x.IMUTime, _x.BITStatus))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_I().pack(self.robot_id.id))\\n _x = self.robot_id.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.agv_msg.header.seq, _x.agv_msg.header.stamp.secs, _x.agv_msg.header.stamp.nsecs))\\n _x = self.agv_msg.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_I().pack(self.agv_msg.vehicle_id.id))\\n _x = self.agv_msg.vehicle_id.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_21f().pack(_x.agv_msg.left_size, _x.agv_msg.right_size, _x.agv_msg.front_size, _x.agv_msg.rear_size, _x.agv_msg.min_height, _x.agv_msg.max_height, _x.agv_msg.payload, _x.agv_msg.max_pos_x_vel, _x.agv_msg.max_neg_x_vel, _x.agv_msg.max_pos_x_acc, _x.agv_msg.max_neg_x_acc, _x.agv_msg.max_pos_y_vel, _x.agv_msg.max_neg_y_vel, _x.agv_msg.max_pos_y_acc, _x.agv_msg.max_neg_y_acc, _x.agv_msg.max_pos_ang_vel, _x.agv_msg.max_neg_ang_vel, _x.agv_msg.velocity_control_sensitivity, _x.agv_msg.min_turning_radius, _x.agv_msg.batt_capacity, _x.agv_msg.batt_max_voltage))\\n _x = self.agv_msg.vehicle_type\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.agv_msg.vendor\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.agv_msg.action_capability)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.agv_msg.action_capability:\\n _x = val1\\n buff.write(_get_struct_2B().pack(_x.category, _x.action))\\n length = len(val1.attributes)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.attributes:\\n _x = val2.type\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3B4f2h3B().pack(_x.MatchMode, _x.MatchType, _x.TestMode, _x.pointA.x, _x.pointA.y, _x.pointB.x, _x.pointB.y, _x.angleA, _x.angleB, _x.idA, _x.idB, _x.kickforce))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self.group\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_2B().pack(_x.rand_start, _x.current_start))\\n length = len(self.start_pos)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(self.start_pos.tostring())\\n buff.write(_get_struct_B().pack(self.rand_target))\\n length = len(self.target_pos)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(self.target_pos.tostring())\\n _x = self\\n buff.write(_get_struct_3Bb().pack(_x.execute, _x.wait, _x.ret_plan, _x.ret_fps))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n buff.write(_struct_B.pack(self.success))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n length = len(self.pending)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.pending:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.gateway_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v33 = val1.platform_info\\n _x = _v33.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v33.rocon_uri\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v33.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v34 = _v33.icon\\n _x = _v34.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v34.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v34.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v33.version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_B().pack(val1.is_local_client))\\n _x = val1.state\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.ip\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v35 = val1.conn_stats\\n _x = _v35\\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\\n length = len(val1.rapps)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.rapps:\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.display_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.compatibility\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.status\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.implementations)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.implementations:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n _x = val2.preferred\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v36 = val2.icon\\n _x = _v36.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v36.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v36.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_interface)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_interface:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_parameters)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_parameters:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.available)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.available:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.gateway_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v37 = val1.platform_info\\n _x = _v37.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v37.rocon_uri\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v37.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v38 = _v37.icon\\n _x = _v38.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v38.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v38.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v37.version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_B().pack(val1.is_local_client))\\n _x = val1.state\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.ip\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v39 = val1.conn_stats\\n _x = _v39\\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\\n length = len(val1.rapps)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.rapps:\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.display_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.compatibility\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.status\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.implementations)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.implementations:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n _x = val2.preferred\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v40 = val2.icon\\n _x = _v40.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v40.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v40.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_interface)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_interface:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_parameters)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_parameters:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.missing)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.missing:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.gateway_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v41 = val1.platform_info\\n _x = _v41.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v41.rocon_uri\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v41.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v42 = _v41.icon\\n _x = _v42.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v42.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v42.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v41.version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_B().pack(val1.is_local_client))\\n _x = val1.state\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.ip\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v43 = val1.conn_stats\\n _x = _v43\\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\\n length = len(val1.rapps)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.rapps:\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.display_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.compatibility\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.status\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.implementations)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.implementations:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n _x = val2.preferred\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v44 = val2.icon\\n _x = _v44.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v44.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v44.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_interface)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_interface:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_parameters)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_parameters:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.gone)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.gone:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.gateway_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v45 = val1.platform_info\\n _x = _v45.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v45.rocon_uri\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v45.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v46 = _v45.icon\\n _x = _v46.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v46.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v46.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v45.version\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_B().pack(val1.is_local_client))\\n _x = val1.state\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.ip\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v47 = val1.conn_stats\\n _x = _v47\\n buff.write(_get_struct_Bq4fBbfb2f().pack(_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level))\\n length = len(val1.rapps)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.rapps:\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.display_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.compatibility\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.status\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.implementations)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.implementations:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n _x = val2.preferred\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v48 = val2.icon\\n _x = _v48.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v48.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v48.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_interface)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_interface:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.public_parameters)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.public_parameters:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_9B.pack(_x.dvl_sts, _x.svs_sts, _x.fog_sts, _x.nav_sts, _x.bat_sts, _x.t_sts, _x.h_sts, _x.p_sts, _x.water_sts))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.Header.seq, _x.Header.stamp.secs, _x.Header.stamp.nsecs))\\n _x = self.Header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_2hHBI().pack(_x.x_pos, _x.y_pos, _x.angle, _x.code_type, _x.code_num))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self.Class\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_d4q().pack(_x.probability, _x.xmin, _x.ymin, _x.xmax, _x.ymax))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_2B6f2Bb().pack(_x.status, _x.index, _x.range, _x.range_rate, _x.range_accl, _x.azimuth, _x.lateral_rate, _x.width, _x.is_mr_update, _x.is_lr_update, _x.amplitude))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_BQ().pack(_x.Front_sens.ID, _x.Front_sens.timestamp))\\n buff.write(self.Front_sens.compass.tostring())\\n buff.write(self.Front_sens.gyro.tostring())\\n buff.write(self.Front_sens.accel.tostring())\\n buff.write(self.Front_sens.fusionPose.tostring())\\n buff.write(self.Front_sens.fusionQPose.tostring())\\n _x = self\\n buff.write(_get_struct_BQ().pack(_x.Rear_sens.ID, _x.Rear_sens.timestamp))\\n buff.write(self.Rear_sens.compass.tostring())\\n buff.write(self.Rear_sens.gyro.tostring())\\n buff.write(self.Rear_sens.accel.tostring())\\n buff.write(self.Rear_sens.fusionPose.tostring())\\n buff.write(self.Rear_sens.fusionQPose.tostring())\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(self.battery_voltage))\\n _x = self.flight_mode_ll\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.state_estimation\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.position_control\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_2B2f.pack(_x.serial_interface_enabled, _x.serial_interface_active, _x.flight_time, _x.cpu_load))\\n _x = self.motor_status\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.gps_status\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_iBf.pack(_x.gps_num_satellites, _x.have_SSDK_parameters, _x.timesync_offset))\\n buff.write(self.rc_channel.tostring())\\n buff.write(self.control_axes.tostring())\\n length = len(self.control_buttons)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(self.control_buttons.tostring())\\n _x = self\\n buff.write(_struct_6d.pack(_x.latitude, _x.longitude, _x.altitude, _x.pressure_height, _x.velocity_x, _x.velocity_y))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3B4IH3B.pack(_x.sysid, _x.compid, _x.limits_state, _x.last_trigger, _x.last_action, _x.last_recovery, _x.last_clear, _x.breach_count, _x.mods_enabled, _x.mods_required, _x.mods_triggered))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_d2H9d5fdI().pack(_x.Time, _x.Week, _x.Status, _x.RPY.x, _x.RPY.y, _x.RPY.z, _x.LLA.x, _x.LLA.y, _x.LLA.z, _x.NedVel.x, _x.NedVel.y, _x.NedVel.z, _x.YawUncertainty, _x.PitchUncertainty, _x.RollUncertainty, _x.PosUncertainty, _x.VelUncertainty, _x.SyncInTime, _x.SyncInCount))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_12d().pack(_x.sensor_pose_on_robot.position.x, _x.sensor_pose_on_robot.position.y, _x.sensor_pose_on_robot.position.z, _x.sensor_pose_on_robot.orientation.x, _x.sensor_pose_on_robot.orientation.y, _x.sensor_pose_on_robot.orientation.z, _x.sensor_pose_on_robot.orientation.w, _x.min_sensor_distance, _x.max_sensor_distance, _x.sensor_std_range, _x.sensor_std_yaw, _x.sensor_std_pitch))\\n length = len(self.sensed_data)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.sensed_data:\\n _x = val1\\n buff.write(_get_struct_3di().pack(_x.range, _x.yaw, _x.pitch, _x.id))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_4i.pack(_x.FL_vel, _x.FR_vel, _x.BL_vel, _x.BR_vel))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_H6B5f2Bf.pack(_x.sensorId, _x.id, _x.length, _x.width, _x.measstat, _x.existprob, _x.dynprop, _x.latdisp, _x.longdisp, _x.relxdot, _x.relxddot, _x.latspeed, _x.obsprob, _x.rollcount, _x.rcs))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_2H().pack(_x.image_width, _x.image_height))\\n length = len(self.Hlines)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.Hlines:\\n _x = val1\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(self.Vlines)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.Vlines:\\n _x = val1\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n buff.write(_get_struct_H().pack(self.PFPS))\\n length = len(self.regions)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.regions:\\n _v5 = val1.color\\n _x = _v5\\n buff.write(_get_struct_4f().pack(_x.r, _x.g, _x.b, _x.a))\\n _v6 = val1.moment\\n _x = _v6\\n buff.write(_get_struct_10f().pack(_x.m00, _x.m10, _x.m01, _x.m11, _x.m20, _x.m02, _x.m21, _x.m12, _x.m30, _x.m03))\\n _x = self\\n buff.write(_get_struct_2H().pack(_x.box_width, _x.box_height))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_2q3d3q().pack(_x.max_features, _x.window_size, _x.quality, _x.min_distance, _x.harris, _x.size_block, _x.pyramid_lvl, _x.mask_border))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_I().pack(self.vehicle_id.id))\\n _x = self.vehicle_id.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_21f().pack(_x.left_size, _x.right_size, _x.front_size, _x.rear_size, _x.min_height, _x.max_height, _x.payload, _x.max_pos_x_vel, _x.max_neg_x_vel, _x.max_pos_x_acc, _x.max_neg_x_acc, _x.max_pos_y_vel, _x.max_neg_y_vel, _x.max_pos_y_acc, _x.max_neg_y_acc, _x.max_pos_ang_vel, _x.max_neg_ang_vel, _x.velocity_control_sensitivity, _x.min_turning_radius, _x.batt_capacity, _x.batt_max_voltage))\\n _x = self.vehicle_type\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.vendor\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.action_capability)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.action_capability:\\n _x = val1\\n buff.write(_get_struct_2B().pack(_x.category, _x.action))\\n length = len(val1.attributes)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.attributes:\\n _x = val2.type\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_I2di6h8fI().pack(_x.health, _x.utcA0, _x.utcA1, _x.utcTOW, _x.utcWNT, _x.utcLS, _x.utcWNF, _x.utcDN, _x.utcLSF, _x.utcSpare, _x.klobA0, _x.klobA1, _x.klobA2, _x.klobA3, _x.klobB0, _x.klobB1, _x.klobB2, _x.klobB3, _x.flags))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def _serialize_buffer(buffer, array_serialization=None):\\n if array_serialization == 'binary':\\n # WARNING: in NumPy 1.9, tostring() has been renamed to tobytes()\\n # but tostring() is still here for now for backward compatibility.\\n return buffer.ravel().tostring()\\n elif array_serialization == 'base64':\\n return {'storage_type': 'base64',\\n 'buffer': base64.b64encode(buffer).decode('ascii')\\n }\\n raise ValueError(\\\"The array serialization method should be 'binary' or \\\"\\n \\\"'base64'.\\\")\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n length = len(self.actors)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.actors:\\n _v17 = val1.header\\n _x = _v17.seq\\n buff.write(_get_struct_I().pack(_x))\\n _v18 = _v17.stamp\\n _x = _v18\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v17.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = val1.tracking_id\\n buff.write(_get_struct_I().pack(_x))\\n _v19 = val1.pose\\n _v20 = _v19.pose\\n _v21 = _v20.position\\n _x = _v21\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v22 = _v20.orientation\\n _x = _v22\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_v19.covariance.tostring())\\n if len(val1.points) != 18:\\n self._check_types(ValueError(\\\"Expecting %s items but found %s when writing '%s'\\\" % (18, len(val1.points), 'val1.points')))\\n for val2 in val1.points:\\n _v23 = val2.point\\n _x = _v23\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _x = val2.confidence\\n buff.write(_get_struct_f().pack(_x))\\n _v24 = val1.nose_point\\n _x = _v24\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_B4bB.pack(_x.sbpl_wait_flag, _x.sbpl_present_x, _x.sbpl_present_y, _x.sbpl_new_x, _x.sbpl_new_y, _x.start_P3DX_motion))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n buff.write(self.Rscanpose.tostring())\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.type_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_4f.pack(_x.home.latitude, _x.home.longitude, _x.home.altitude, _x.home.heading))\\n length = len(self.movements)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.movements:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_b.pack(val1.type))\\n length = len(val1.pre_actions)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.pre_actions:\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_b.pack(val2.type))\\n _x = val2.action_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.parameters)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.parameters:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.slot_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.receivers_name)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.receivers_name:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n length = len(val1.post_actions)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.post_actions:\\n _x = val2.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_b.pack(val2.type))\\n _x = val2.action_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.parameters)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.parameters:\\n _x = val3.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val3.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.slot_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.receivers_name)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.receivers_name:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n buff.write(_struct_f.pack(val1.altitude))\\n _v5 = val1.target_position\\n _x = _v5\\n buff.write(_struct_4f.pack(_x.latitude, _x.longitude, _x.altitude, _x.heading))\\n buff.write(_struct_b.pack(val1.strategy))\\n _v6 = val1.duration\\n _x = _v6\\n buff.write(_struct_2i.pack(_x.secs, _x.nsecs))\\n _x = val1\\n buff.write(_struct_2fBf.pack(_x.radius, _x.circle_altitude, _x.clockwise, _x.direction))\\n length = len(self.move_transitions)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.move_transitions:\\n buff.write(_struct_B.pack(val1.is_choice))\\n _x = val1.wait_for_slot_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.from_move_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.to_move_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_B.pack(val1.fluid))\\n _x = val1.condition_identifier\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.false_branch_move_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.slot_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.slot_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n buff.write(_struct_b.pack(self.travel_mode))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_56B().pack(_x.command, _x.set_num, _x.paraset_byte54, _x.paraset_byte53, _x.paraset_byte52, _x.paraset_byte51, _x.paraset_byte50, _x.paraset_byte49, _x.paraset_byte48, _x.paraset_byte47, _x.paraset_byte46, _x.paraset_byte45, _x.paraset_byte44, _x.paraset_byte43, _x.paraset_byte42, _x.paraset_byte41, _x.paraset_byte40, _x.paraset_byte39, _x.paraset_byte38, _x.paraset_byte37, _x.paraset_byte36, _x.paraset_byte35, _x.paraset_byte34, _x.paraset_byte33, _x.paraset_byte32, _x.paraset_byte31, _x.paraset_byte30, _x.paraset_byte29, _x.paraset_byte28, _x.paraset_byte27, _x.paraset_byte26, _x.paraset_byte25, _x.paraset_byte24, _x.paraset_byte23, _x.paraset_byte22, _x.paraset_byte21, _x.paraset_byte20, _x.paraset_byte19, _x.paraset_byte18, _x.paraset_byte17, _x.paraset_byte16, _x.paraset_byte15, _x.paraset_byte14, _x.paraset_byte13, _x.paraset_byte12, _x.paraset_byte11, _x.paraset_byte10, _x.paraset_byte9, _x.paraset_byte8, _x.paraset_byte7, _x.paraset_byte6, _x.paraset_byte5, _x.paraset_byte4, _x.paraset_byte3, _x.paraset_byte2, _x.paraset_byte1))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_didid.pack(_x.distance_front, _x.angle_front, _x.distance_back, _x.angle_back, _x.turn_left))\\n _x = self.turn_left_sensor\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_d.pack(self.turn_right))\\n _x = self.turn_right_sensor\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_6f.pack(_x.major_ax, _x.minor_ax, _x.coup_strength, _x.limit_cycle, _x.forward_velocity, _x.curvature))\\n length = len(self.x_offset)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.x_offset.tostring())\\n length = len(self.y_offset)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.y_offset.tostring())\\n length = len(self.coupling_1)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(self.coupling_1.tostring())\\n length = len(self.coupling_2)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(self.coupling_2.tostring())\\n length = len(self.coupling_3)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(self.coupling_3.tostring())\\n length = len(self.coupling_4)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(self.coupling_4.tostring())\\n length = len(self.coupling_5)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(self.coupling_5.tostring())\\n length = len(self.coupling_6)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(self.coupling_6.tostring())\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.compatibility\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.display_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.description\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.namespace\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.icon.resource_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.icon.format\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.icon.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.remappings)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.remappings:\\n _x = val1.remap_from\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.remap_to\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.parameters\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.max))\\n _x = self.pairing.rapp\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.pairing.remappings)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.pairing.remappings:\\n _x = val1.remap_from\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.remap_to\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.pairing.parameters)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.pairing.parameters:\\n _x = val1.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.hash))\\n _x = self.role\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_5B6fi2f().pack(_x.enable_steering, _x.enable_braking, _x.enable_driving, _x.enable_Estop, _x.enable_gear, _x.sw_deg, _x.sw_rad, _x.speed_ms, _x.speed_kms, _x.ax_ms2, _x.omega_rad, _x.gear_mode, _x.steering, _x.speed))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_QBdB2I().pack(_x.step_num, _x.info_type, _x.predict.step_dt, _x.predict.trans_jacobian.column_major, _x.predict.trans_jacobian.rows, _x.predict.trans_jacobian.cols))\\n length = len(self.predict.trans_jacobian.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.predict.trans_jacobian.data.tostring())\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.predict.trans_noise_cov.column_major, _x.predict.trans_noise_cov.rows, _x.predict.trans_noise_cov.cols))\\n length = len(self.predict.trans_noise_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.predict.trans_noise_cov.data.tostring())\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.predict.prior_state_cov.column_major, _x.predict.prior_state_cov.rows, _x.predict.prior_state_cov.cols))\\n length = len(self.predict.prior_state_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.predict.prior_state_cov.data.tostring())\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.predict.post_state_cov.column_major, _x.predict.post_state_cov.rows, _x.predict.post_state_cov.cols))\\n length = len(self.predict.post_state_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.predict.post_state_cov.data.tostring())\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.update.prior_state_cov.column_major, _x.update.prior_state_cov.rows, _x.update.prior_state_cov.cols))\\n length = len(self.update.prior_state_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.update.prior_state_cov.data.tostring())\\n length = len(self.update.prior_obs_error)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.update.prior_obs_error.tostring())\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.update.obs_error_cov.column_major, _x.update.obs_error_cov.rows, _x.update.obs_error_cov.cols))\\n length = len(self.update.obs_error_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.update.obs_error_cov.data.tostring())\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.update.post_state_cov.column_major, _x.update.post_state_cov.rows, _x.update.post_state_cov.cols))\\n length = len(self.update.post_state_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.update.post_state_cov.data.tostring())\\n length = len(self.update.state_delta)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.update.state_delta.tostring())\\n length = len(self.update.post_obs_error)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.update.post_obs_error.tostring())\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.update.obs_jacobian.column_major, _x.update.obs_jacobian.rows, _x.update.obs_jacobian.cols))\\n length = len(self.update.obs_jacobian.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.update.obs_jacobian.data.tostring())\\n _x = self\\n buff.write(_get_struct_B2I().pack(_x.update.obs_noise_cov.column_major, _x.update.obs_noise_cov.rows, _x.update.obs_noise_cov.cols))\\n length = len(self.update.obs_noise_cov.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.update.obs_noise_cov.data.tostring())\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs))\\n _x = self.x.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_7d3I().pack(_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs))\\n _x = self.x_desi.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_7d3I().pack(_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs))\\n _x = self.x_desi_filtered.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_31d().pack(_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z))\\n length = len(self.tau_pose)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.tau_pose.tostring())\\n length = len(self.tau_posture)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.tau_posture.tostring())\\n length = len(self.tau)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.tau.tostring())\\n length = len(self.J.layout.dim)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.J.layout.dim:\\n _x = val1.label\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_get_struct_2I().pack(_x.size, _x.stride))\\n buff.write(_get_struct_I().pack(self.J.layout.data_offset))\\n length = len(self.J.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.J.data.tostring())\\n length = len(self.N.layout.dim)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.N.layout.dim:\\n _x = val1.label\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_get_struct_2I().pack(_x.size, _x.stride))\\n buff.write(_get_struct_I().pack(self.N.layout.data_offset))\\n length = len(self.N.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.N.data.tostring())\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self.object1\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.object2\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_di.pack(_x.penetration_distance, _x.operation))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.planning_scene_diff.robot_state.joint_state.header.seq, _x.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs))\\n _x = self.planning_scene_diff.robot_state.joint_state.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.planning_scene_diff.robot_state.joint_state.name)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.robot_state.joint_state.name:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene_diff.robot_state.joint_state.position)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.planning_scene_diff.robot_state.joint_state.position.tostring())\\n length = len(self.planning_scene_diff.robot_state.joint_state.velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.planning_scene_diff.robot_state.joint_state.velocity.tostring())\\n length = len(self.planning_scene_diff.robot_state.joint_state.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.planning_scene_diff.robot_state.joint_state.effort.tostring())\\n _x = self\\n buff.write(_struct_2I.pack(_x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.secs, _x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.nsecs))\\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene_diff.robot_state.multi_dof_joint_state.poses)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.robot_state.multi_dof_joint_state.poses:\\n _v57 = val1.position\\n _x = _v57\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v58 = val1.orientation\\n _x = _v58\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.planning_scene_diff.fixed_frame_transforms)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.fixed_frame_transforms:\\n _v59 = val1.header\\n buff.write(_struct_I.pack(_v59.seq))\\n _v60 = _v59.stamp\\n _x = _v60\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v59.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.child_frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v61 = val1.transform\\n _v62 = _v61.translation\\n _x = _v62\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v63 = _v61.rotation\\n _x = _v63\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.planning_scene_diff.allowed_collision_matrix.link_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.allowed_collision_matrix.link_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene_diff.allowed_collision_matrix.entries)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.allowed_collision_matrix.entries:\\n length = len(val1.enabled)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sB'%length\\n buff.write(val1.enabled.tostring())\\n length = len(self.planning_scene_diff.allowed_contacts)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.allowed_contacts:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v64 = val1.shape\\n buff.write(_struct_b.pack(_v64.type))\\n length = len(_v64.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(_v64.dimensions.tostring())\\n length = len(_v64.triangles)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(_v64.triangles.tostring())\\n length = len(_v64.vertices)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v64.vertices:\\n _x = val3\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v65 = val1.pose_stamped\\n _v66 = _v65.header\\n buff.write(_struct_I.pack(_v66.seq))\\n _v67 = _v66.stamp\\n _x = _v67\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v66.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v68 = _v65.pose\\n _v69 = _v68.position\\n _x = _v69\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v70 = _v68.orientation\\n _x = _v70\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.link_names)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.link_names:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n buff.write(_struct_d.pack(val1.penetration_depth))\\n length = len(self.planning_scene_diff.link_padding)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.link_padding:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_d.pack(val1.padding))\\n length = len(self.planning_scene_diff.collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.collision_objects:\\n _v71 = val1.header\\n buff.write(_struct_I.pack(_v71.seq))\\n _v72 = _v71.stamp\\n _x = _v72\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v71.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(val1.padding))\\n _v73 = val1.operation\\n buff.write(_struct_b.pack(_v73.operation))\\n length = len(val1.shapes)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.shapes:\\n buff.write(_struct_b.pack(val2.type))\\n length = len(val2.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val2.dimensions.tostring())\\n length = len(val2.triangles)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(val2.triangles.tostring())\\n length = len(val2.vertices)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.vertices:\\n _x = val3\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n length = len(val1.poses)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.poses:\\n _v74 = val2.position\\n _x = _v74\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v75 = val2.orientation\\n _x = _v75\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.planning_scene_diff.attached_collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.attached_collision_objects:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v76 = val1.object\\n _v77 = _v76.header\\n buff.write(_struct_I.pack(_v77.seq))\\n _v78 = _v77.stamp\\n _x = _v78\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v77.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v76.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(_v76.padding))\\n _v79 = _v76.operation\\n buff.write(_struct_b.pack(_v79.operation))\\n length = len(_v76.shapes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v76.shapes:\\n buff.write(_struct_b.pack(val3.type))\\n length = len(val3.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.dimensions.tostring())\\n length = len(val3.triangles)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(val3.triangles.tostring())\\n length = len(val3.vertices)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.vertices:\\n _x = val4\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n length = len(_v76.poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v76.poses:\\n _v80 = val3.position\\n _x = _v80\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v81 = val3.orientation\\n _x = _v81\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.touch_links)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.touch_links:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n _x = self\\n buff.write(_struct_3I.pack(_x.planning_scene_diff.collision_map.header.seq, _x.planning_scene_diff.collision_map.header.stamp.secs, _x.planning_scene_diff.collision_map.header.stamp.nsecs))\\n _x = self.planning_scene_diff.collision_map.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.planning_scene_diff.collision_map.boxes)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene_diff.collision_map.boxes:\\n _v82 = val1.center\\n _x = _v82\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n _v83 = val1.extents\\n _x = _v83\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n _v84 = val1.axis\\n _x = _v84\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n buff.write(_struct_f.pack(val1.angle))\\n length = len(self.operations.collision_operations)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.operations.collision_operations:\\n _x = val1.object1\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.object2\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_struct_di.pack(_x.penetration_distance, _x.operation))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_51B.pack(_x.temp_1_curr, _x.temp_1_min, _x.temp_1_max, _x.temp_2_curr, _x.temp_2_min, _x.temp_2_max, _x.temp_3_curr, _x.temp_3_min, _x.temp_3_max, _x.temp_4_curr, _x.temp_4_min, _x.temp_4_max, _x.temp_5_curr, _x.temp_5_min, _x.temp_5_max, _x.temp_6_curr, _x.temp_6_min, _x.temp_6_max, _x.akku_voltage_curr, _x.akku_voltage_min, _x.akku_voltage_max, _x.hals_motor_voltage_curr, _x.hals_motor_voltage_min, _x.hals_motor_voltage_max, _x.hals_logik_voltage_curr, _x.hals_logik_voltage_min, _x.hals_logik_voltage_max, _x.tablett_logik_voltage_curr, _x.tablett_logik_voltage_min, _x.tablett_logik_voltage_max, _x.arm_logik_voltage_curr, _x.arm_logik_voltage_min, _x.arm_logik_voltage_max, _x.tablett_motor_voltage_curr, _x.tablett_motor_voltage_min, _x.tablett_motor_voltage_max, _x.hals_motor_current_curr, _x.hals_motor_current_min, _x.hals_motor_current_max, _x.hals_logik_current_curr, _x.hals_logik_current_min, _x.hals_logik_current_max, _x.tablett_logik_current_curr, _x.tablett_logik_current_min, _x.tablett_logik_current_max, _x.arm_logik_current_curr, _x.arm_logik_current_min, _x.arm_logik_current_max, _x.tablett_motor_current_curr, _x.tablett_motor_current_min, _x.tablett_motor_current_max))\\n except struct.error, se: self._check_types(se)\\n except TypeError, te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self.sim_step\\n buff.write(_get_struct_I().pack(_x))\\n _x = self.type.data\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self.parent_name.data\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self.name.data\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_2f7dI().pack(_x.wall_time, _x.sim_time, _x.pose.position.x, _x.pose.position.y, _x.pose.position.z, _x.pose.orientation.x, _x.pose.orientation.y, _x.pose.orientation.z, _x.pose.orientation.w, _x.count))\\n length = len(self.triggered)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sB'%length\\n buff.write(self.triggered.tostring())\\n length = len(self.range)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(self.range.tostring())\\n length = len(self.measurement)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(self.measurement.tostring())\\n length = len(self.sensed_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.sensed_objects:\\n _x = val1.data\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self.sensed_objects_map\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\\n else:\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n buff.write(_struct_f.pack(self.yaw))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.model.header.seq, _x.model.header.stamp.secs, _x.model.header.stamp.nsecs))\\n _x = self.model.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.model.id))\\n _x = self.model.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.model.params)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model.params:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_struct_dB.pack(_x.value, _x.type))\\n _x = self\\n buff.write(_struct_3I.pack(_x.model.track.header.seq, _x.model.track.header.stamp.secs, _x.model.track.header.stamp.nsecs))\\n _x = self.model.track.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.model.track.id))\\n length = len(self.model.track.pose)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model.track.pose:\\n _v29 = val1.position\\n _x = _v29\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v30 = val1.orientation\\n _x = _v30\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.model.track.pose_headers)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model.track.pose_headers:\\n buff.write(_struct_I.pack(val1.seq))\\n _v31 = val1.stamp\\n _x = _v31\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = val1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.model.track.pose_projected)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model.track.pose_projected:\\n _v32 = val1.position\\n _x = _v32\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v33 = val1.orientation\\n _x = _v33\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.model.track.pose_resampled)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model.track.pose_resampled:\\n _v34 = val1.position\\n _x = _v34\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v35 = val1.orientation\\n _x = _v35\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.model.track.pose_flags)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sI'%length\\n buff.write(self.model.track.pose_flags.tostring())\\n length = len(self.model.track.channels)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model.track.channels:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.values)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(val1.values.tostring())\\n _x = self\\n buff.write(_struct_3I.pack(_x.data.header.seq, _x.data.header.stamp.secs, _x.data.header.stamp.nsecs))\\n _x = self.data.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.data.id))\\n _x = self.data.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.data.params)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data.params:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_struct_dB.pack(_x.value, _x.type))\\n _x = self\\n buff.write(_struct_3I.pack(_x.data.track.header.seq, _x.data.track.header.stamp.secs, _x.data.track.header.stamp.nsecs))\\n _x = self.data.track.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.data.track.id))\\n length = len(self.data.track.pose)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data.track.pose:\\n _v36 = val1.position\\n _x = _v36\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v37 = val1.orientation\\n _x = _v37\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.data.track.pose_headers)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data.track.pose_headers:\\n buff.write(_struct_I.pack(val1.seq))\\n _v38 = val1.stamp\\n _x = _v38\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = val1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.data.track.pose_projected)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data.track.pose_projected:\\n _v39 = val1.position\\n _x = _v39\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v40 = val1.orientation\\n _x = _v40\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.data.track.pose_resampled)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data.track.pose_resampled:\\n _v41 = val1.position\\n _x = _v41\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v42 = val1.orientation\\n _x = _v42\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.data.track.pose_flags)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sI'%length\\n buff.write(self.data.track.pose_flags.tostring())\\n length = len(self.data.track.channels)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data.track.channels:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.values)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(val1.values.tostring())\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.sensor_FL.header.seq, _x.sensor_FL.header.stamp.secs, _x.sensor_FL.header.stamp.nsecs))\\n _x = self.sensor_FL.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_B4f3I().pack(_x.sensor_FL.radiation_type, _x.sensor_FL.field_of_view, _x.sensor_FL.min_range, _x.sensor_FL.max_range, _x.sensor_FL.range, _x.sensor_FR.header.seq, _x.sensor_FR.header.stamp.secs, _x.sensor_FR.header.stamp.nsecs))\\n _x = self.sensor_FR.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_B4f3I().pack(_x.sensor_FR.radiation_type, _x.sensor_FR.field_of_view, _x.sensor_FR.min_range, _x.sensor_FR.max_range, _x.sensor_FR.range, _x.sensor_RR.header.seq, _x.sensor_RR.header.stamp.secs, _x.sensor_RR.header.stamp.nsecs))\\n _x = self.sensor_RR.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_B4f3I().pack(_x.sensor_RR.radiation_type, _x.sensor_RR.field_of_view, _x.sensor_RR.min_range, _x.sensor_RR.max_range, _x.sensor_RR.range, _x.sensor_RL.header.seq, _x.sensor_RL.header.stamp.secs, _x.sensor_RL.header.stamp.nsecs))\\n _x = self.sensor_RL.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_B4f().pack(_x.sensor_RL.radiation_type, _x.sensor_RL.field_of_view, _x.sensor_RL.min_range, _x.sensor_RL.max_range, _x.sensor_RL.range))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_3I.pack(_x.pan.header.seq, _x.pan.header.stamp.secs, _x.pan.header.stamp.nsecs))\\n _x = self.pan.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_6f3df3I.pack(_x.pan.current, _x.pan.pos_rad, _x.pan.vel_rps, _x.pan.torque_nm, _x.pan.pwm, _x.pan.encoder_rad, _x.pan.accel.x, _x.pan.accel.y, _x.pan.accel.z, _x.pan.temperature_degC, _x.tilt.header.seq, _x.tilt.header.stamp.secs, _x.tilt.header.stamp.nsecs))\\n _x = self.tilt.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_6f3df.pack(_x.tilt.current, _x.tilt.pos_rad, _x.tilt.vel_rps, _x.tilt.torque_nm, _x.tilt.pwm, _x.tilt.encoder_rad, _x.tilt.accel.x, _x.tilt.accel.y, _x.tilt.accel.z, _x.tilt.temperature_degC))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.planning_scene.robot_state.joint_state.header.seq, _x.planning_scene.robot_state.joint_state.header.stamp.secs, _x.planning_scene.robot_state.joint_state.header.stamp.nsecs))\\n _x = self.planning_scene.robot_state.joint_state.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.planning_scene.robot_state.joint_state.name)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.robot_state.joint_state.name:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene.robot_state.joint_state.position)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.planning_scene.robot_state.joint_state.position.tostring())\\n length = len(self.planning_scene.robot_state.joint_state.velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.planning_scene.robot_state.joint_state.velocity.tostring())\\n length = len(self.planning_scene.robot_state.joint_state.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.planning_scene.robot_state.joint_state.effort.tostring())\\n _x = self\\n buff.write(_struct_2I.pack(_x.planning_scene.robot_state.multi_dof_joint_state.stamp.secs, _x.planning_scene.robot_state.multi_dof_joint_state.stamp.nsecs))\\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.joint_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.frame_ids)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.frame_ids:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.child_frame_ids)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.child_frame_ids:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene.robot_state.multi_dof_joint_state.poses)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.robot_state.multi_dof_joint_state.poses:\\n _v169 = val1.position\\n _x = _v169\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v170 = val1.orientation\\n _x = _v170\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.planning_scene.fixed_frame_transforms)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.fixed_frame_transforms:\\n _v171 = val1.header\\n buff.write(_struct_I.pack(_v171.seq))\\n _v172 = _v171.stamp\\n _x = _v172\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v171.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.child_frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v173 = val1.transform\\n _v174 = _v173.translation\\n _x = _v174\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v175 = _v173.rotation\\n _x = _v175\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.planning_scene.allowed_collision_matrix.link_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.allowed_collision_matrix.link_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.planning_scene.allowed_collision_matrix.entries)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.allowed_collision_matrix.entries:\\n length = len(val1.enabled)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sB'%length\\n buff.write(val1.enabled.tostring())\\n length = len(self.planning_scene.allowed_contacts)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.allowed_contacts:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v176 = val1.shape\\n buff.write(_struct_b.pack(_v176.type))\\n length = len(_v176.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(_v176.dimensions.tostring())\\n length = len(_v176.triangles)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(_v176.triangles.tostring())\\n length = len(_v176.vertices)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v176.vertices:\\n _x = val3\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v177 = val1.pose_stamped\\n _v178 = _v177.header\\n buff.write(_struct_I.pack(_v178.seq))\\n _v179 = _v178.stamp\\n _x = _v179\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v178.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v180 = _v177.pose\\n _v181 = _v180.position\\n _x = _v181\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v182 = _v180.orientation\\n _x = _v182\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.link_names)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.link_names:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n buff.write(_struct_d.pack(val1.penetration_depth))\\n length = len(self.planning_scene.link_padding)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.link_padding:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_d.pack(val1.padding))\\n length = len(self.planning_scene.collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.collision_objects:\\n _v183 = val1.header\\n buff.write(_struct_I.pack(_v183.seq))\\n _v184 = _v183.stamp\\n _x = _v184\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v183.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(val1.padding))\\n _v185 = val1.operation\\n buff.write(_struct_b.pack(_v185.operation))\\n length = len(val1.shapes)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.shapes:\\n buff.write(_struct_b.pack(val2.type))\\n length = len(val2.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val2.dimensions.tostring())\\n length = len(val2.triangles)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(val2.triangles.tostring())\\n length = len(val2.vertices)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.vertices:\\n _x = val3\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n length = len(val1.poses)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.poses:\\n _v186 = val2.position\\n _x = _v186\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v187 = val2.orientation\\n _x = _v187\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.planning_scene.attached_collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.attached_collision_objects:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v188 = val1.object\\n _v189 = _v188.header\\n buff.write(_struct_I.pack(_v189.seq))\\n _v190 = _v189.stamp\\n _x = _v190\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v189.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v188.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_f.pack(_v188.padding))\\n _v191 = _v188.operation\\n buff.write(_struct_b.pack(_v191.operation))\\n length = len(_v188.shapes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v188.shapes:\\n buff.write(_struct_b.pack(val3.type))\\n length = len(val3.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.dimensions.tostring())\\n length = len(val3.triangles)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(val3.triangles.tostring())\\n length = len(val3.vertices)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.vertices:\\n _x = val4\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n length = len(_v188.poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v188.poses:\\n _v192 = val3.position\\n _x = _v192\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v193 = val3.orientation\\n _x = _v193\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.touch_links)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.touch_links:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n _x = self\\n buff.write(_struct_3I.pack(_x.planning_scene.collision_map.header.seq, _x.planning_scene.collision_map.header.stamp.secs, _x.planning_scene.collision_map.header.stamp.nsecs))\\n _x = self.planning_scene.collision_map.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.planning_scene.collision_map.boxes)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.planning_scene.collision_map.boxes:\\n _v194 = val1.center\\n _x = _v194\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n _v195 = val1.extents\\n _x = _v195\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n _v196 = val1.axis\\n _x = _v196\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n buff.write(_struct_f.pack(val1.angle))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs))\\n _x = self.model_aligned.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.model_aligned.id))\\n _x = self.model_aligned.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.model_aligned.params)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model_aligned.params:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_struct_dB.pack(_x.value, _x.type))\\n _x = self\\n buff.write(_struct_3I.pack(_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs))\\n _x = self.model_aligned.track.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.model_aligned.track.id))\\n length = len(self.model_aligned.track.pose)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model_aligned.track.pose:\\n _v85 = val1.position\\n _x = _v85\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v86 = val1.orientation\\n _x = _v86\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.model_aligned.track.pose_headers)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model_aligned.track.pose_headers:\\n buff.write(_struct_I.pack(val1.seq))\\n _v87 = val1.stamp\\n _x = _v87\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = val1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.model_aligned.track.pose_projected)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model_aligned.track.pose_projected:\\n _v88 = val1.position\\n _x = _v88\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v89 = val1.orientation\\n _x = _v89\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.model_aligned.track.pose_resampled)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model_aligned.track.pose_resampled:\\n _v90 = val1.position\\n _x = _v90\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v91 = val1.orientation\\n _x = _v91\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.model_aligned.track.pose_flags)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sI'%length\\n buff.write(self.model_aligned.track.pose_flags.tostring())\\n length = len(self.model_aligned.track.channels)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.model_aligned.track.channels:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.values)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(val1.values.tostring())\\n _x = self\\n buff.write(_struct_3I.pack(_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs))\\n _x = self.data_aligned.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.data_aligned.id))\\n _x = self.data_aligned.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.data_aligned.params)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_aligned.params:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_struct_dB.pack(_x.value, _x.type))\\n _x = self\\n buff.write(_struct_3I.pack(_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs))\\n _x = self.data_aligned.track.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_i.pack(self.data_aligned.track.id))\\n length = len(self.data_aligned.track.pose)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_aligned.track.pose:\\n _v92 = val1.position\\n _x = _v92\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v93 = val1.orientation\\n _x = _v93\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.data_aligned.track.pose_headers)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_aligned.track.pose_headers:\\n buff.write(_struct_I.pack(val1.seq))\\n _v94 = val1.stamp\\n _x = _v94\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = val1.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.data_aligned.track.pose_projected)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_aligned.track.pose_projected:\\n _v95 = val1.position\\n _x = _v95\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v96 = val1.orientation\\n _x = _v96\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.data_aligned.track.pose_resampled)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_aligned.track.pose_resampled:\\n _v97 = val1.position\\n _x = _v97\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v98 = val1.orientation\\n _x = _v98\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.data_aligned.track.pose_flags)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sI'%length\\n buff.write(self.data_aligned.track.pose_flags.tostring())\\n length = len(self.data_aligned.track.channels)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_aligned.track.channels:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.values)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(val1.values.tostring())\\n buff.write(self.R.tostring())\\n buff.write(self.T.tostring())\\n _x = self\\n buff.write(_struct_df.pack(_x.dist_rot, _x.dist_trans))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.namespace\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.prefixes)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.prefixes:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.prefix\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.imports)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.imports:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *val1))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n _x = self.address.room_nr\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.address.floor_nr\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.address.street_nr\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.address.street_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.address.city_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.objects:\\n _v13 = val1.header\\n buff.write(_struct_I.pack(_v13.seq))\\n _v14 = _v13.stamp\\n _x = _v14\\n buff.write(_struct_2I.pack(_x.secs, _x.nsecs))\\n _x = _v13.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.type\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v15 = val1.size\\n _x = _v15\\n buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))\\n _v16 = val1.pose\\n _v17 = _v16.position\\n _x = _v17\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v18 = _v16.orientation\\n _x = _v18\\n buff.write(_struct_4d.pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val1.part_of\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.actions)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.actions:\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.type\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_B.pack(val1.asserted))\\n _x = val1.object_acted_on\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.subactions)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.subactions:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *val2))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n _x = val1\\n buff.write(_struct_bB.pack(_x.quantification, _x.unordered))\\n length = len(self.object_properties)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.object_properties:\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.subject\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.object\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.data_properties)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.data_properties:\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.subject\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_struct_B.pack(val1.value_type))\\n _x = val1.value\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.obstacleinfo.header.seq, _x.obstacleinfo.header.stamp.secs, _x.obstacleinfo.header.stamp.nsecs))\\n _x = self.obstacleinfo.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.obstacleinfo.pos)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.obstacleinfo.pos:\\n _x = val1\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n length = len(self.obstacleinfo.polar_pos)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.obstacleinfo.polar_pos:\\n _x = val1\\n buff.write(_get_struct_2f().pack(_x.angle, _x.radius))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.oppinfo.header.seq, _x.oppinfo.header.stamp.secs, _x.oppinfo.header.stamp.nsecs))\\n _x = self.oppinfo.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.oppinfo.pos)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.oppinfo.pos:\\n _x = val1\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n length = len(self.oppinfo.polar_pos)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.oppinfo.polar_pos:\\n _x = val1\\n buff.write(_get_struct_2f().pack(_x.angle, _x.radius))\\n length = len(self.robotinfo)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.robotinfo:\\n _v23 = val1.header\\n buff.write(_get_struct_I().pack(_v23.seq))\\n _v24 = _v23.stamp\\n _x = _v24\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v23.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_get_struct_7i().pack(_x.AgentID, _x.targetNum1, _x.targetNum2, _x.targetNum3, _x.targetNum4, _x.staticpassNum, _x.staticcatchNum))\\n _v25 = val1.pos\\n _x = _v25\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n _v26 = val1.heading\\n buff.write(_get_struct_f().pack(_v26.theta))\\n buff.write(_get_struct_f().pack(val1.vrot))\\n _v27 = val1.vtrans\\n _x = _v27\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n _x = val1\\n buff.write(_get_struct_5Bf().pack(_x.iskick, _x.isvalid, _x.isstuck, _x.isdribble, _x.current_role, _x.role_time))\\n _v28 = val1.target\\n _x = _v28\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n length = len(self.ballinfo)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.ballinfo:\\n _v29 = val1.header\\n buff.write(_get_struct_I().pack(_v29.seq))\\n _v30 = _v29.stamp\\n _x = _v30\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v29.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_i().pack(val1.ballinfostate))\\n _v31 = val1.pos\\n _x = _v31\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n _v32 = val1.real_pos\\n _x = _v32\\n buff.write(_get_struct_2f().pack(_x.angle, _x.radius))\\n _v33 = val1.velocity\\n _x = _v33\\n buff.write(_get_struct_2f().pack(_x.x, _x.y))\\n _x = val1\\n buff.write(_get_struct_2B().pack(_x.pos_known, _x.velocity_known))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.coachinfo.header.seq, _x.coachinfo.header.stamp.secs, _x.coachinfo.header.stamp.nsecs))\\n _x = self.coachinfo.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3B4f2h3B2I4f4B().pack(_x.coachinfo.MatchMode, _x.coachinfo.MatchType, _x.coachinfo.TestMode, _x.coachinfo.pointA.x, _x.coachinfo.pointA.y, _x.coachinfo.pointB.x, _x.coachinfo.pointB.y, _x.coachinfo.angleA, _x.coachinfo.angleB, _x.coachinfo.idA, _x.coachinfo.idB, _x.coachinfo.kickforce, _x.pass_cmd.pass_id, _x.pass_cmd.catch_id, _x.pass_cmd.pass_pt.x, _x.pass_cmd.pass_pt.y, _x.pass_cmd.catch_pt.x, _x.pass_cmd.catch_pt.y, _x.pass_cmd.is_passout, _x.pass_cmd.is_dynamic_pass, _x.pass_cmd.is_static_pass, _x.pass_cmd.is_valid))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_i3I().pack(_x.messageID, _x.localStamp.header.seq, _x.localStamp.header.stamp.secs, _x.localStamp.header.stamp.nsecs))\\n _x = self.localStamp.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_4d().pack(_x.localStamp.time, _x.localStamp.lat, _x.localStamp.lng, _x.localStamp.height))\\n buff.write(self.localStamp.position.tostring())\\n buff.write(self.localStamp.orientation.tostring())\\n buff.write(self.localStamp.linearSpeed.tostring())\\n buff.write(self.localStamp.angularSpeed.tostring())\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.globalStamp.header.seq, _x.globalStamp.header.stamp.secs, _x.globalStamp.header.stamp.nsecs))\\n _x = self.globalStamp.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_4d().pack(_x.globalStamp.time, _x.globalStamp.lat, _x.globalStamp.lng, _x.globalStamp.height))\\n buff.write(self.globalStamp.position.tostring())\\n buff.write(self.globalStamp.orientation.tostring())\\n buff.write(self.globalStamp.linearSpeed.tostring())\\n buff.write(self.globalStamp.angularSpeed.tostring())\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.camera.header.seq, _x.camera.header.stamp.secs, _x.camera.header.stamp.nsecs))\\n _x = self.camera.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_i3I().pack(_x.camera.messageID, _x.camera.localStamp.header.seq, _x.camera.localStamp.header.stamp.secs, _x.camera.localStamp.header.stamp.nsecs))\\n _x = self.camera.localStamp.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_4d().pack(_x.camera.localStamp.time, _x.camera.localStamp.lat, _x.camera.localStamp.lng, _x.camera.localStamp.height))\\n buff.write(self.camera.localStamp.position.tostring())\\n buff.write(self.camera.localStamp.orientation.tostring())\\n buff.write(self.camera.localStamp.linearSpeed.tostring())\\n buff.write(self.camera.localStamp.angularSpeed.tostring())\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.camera.globalStamp.header.seq, _x.camera.globalStamp.header.stamp.secs, _x.camera.globalStamp.header.stamp.nsecs))\\n _x = self.camera.globalStamp.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_4d().pack(_x.camera.globalStamp.time, _x.camera.globalStamp.lat, _x.camera.globalStamp.lng, _x.camera.globalStamp.height))\\n buff.write(self.camera.globalStamp.position.tostring())\\n buff.write(self.camera.globalStamp.orientation.tostring())\\n buff.write(self.camera.globalStamp.linearSpeed.tostring())\\n buff.write(self.camera.globalStamp.angularSpeed.tostring())\\n _x = self\\n buff.write(_get_struct_id().pack(_x.camera.camera_numobstacles, _x.camera.VehSpeed))\\n for val1 in self.camera_obj:\\n _v17 = val1.header\\n buff.write(_get_struct_I().pack(_v17.seq))\\n _v18 = _v17.stamp\\n _x = _v18\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v17.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_i().pack(val1.messageID))\\n _v19 = val1.localStamp\\n _v20 = _v19.header\\n buff.write(_get_struct_I().pack(_v20.seq))\\n _v21 = _v20.stamp\\n _x = _v21\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v20.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v19\\n buff.write(_get_struct_4d().pack(_x.time, _x.lat, _x.lng, _x.height))\\n buff.write(_v19.position.tostring())\\n buff.write(_v19.orientation.tostring())\\n buff.write(_v19.linearSpeed.tostring())\\n buff.write(_v19.angularSpeed.tostring())\\n _v22 = val1.globalStamp\\n _v23 = _v22.header\\n buff.write(_get_struct_I().pack(_v23.seq))\\n _v24 = _v23.stamp\\n _x = _v24\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v23.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v22\\n buff.write(_get_struct_4d().pack(_x.time, _x.lat, _x.lng, _x.height))\\n buff.write(_v22.position.tostring())\\n buff.write(_v22.orientation.tostring())\\n buff.write(_v22.linearSpeed.tostring())\\n buff.write(_v22.angularSpeed.tostring())\\n _x = val1\\n buff.write(_get_struct_i2d6i3d3i2d2ididid().pack(_x.camera_obstacle_id, _x.camera_obstacleposx, _x.camera_obstacleposy, _x.blinkerInfo, _x.cut_in_and_out, _x.obstacle_type, _x.obstacle_status, _x.obstacle_valid, _x.obstacles_brake_lights, _x.obstacle_length, _x.obstacle_width, _x.obstacles_velx, _x.obstacleAge, _x.obstacleLane, _x.CIPVFlag, _x.RadarPosX, _x.RadarVelX, _x.RadarMatchConfidence, _x.MatcheRadarID, _x.obstacleAngleRate, _x.obstacles_velY, _x.object_Accel_X, _x.obstacleReplaced, _x.obstacleAngle))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.camera_lane.header.seq, _x.camera_lane.header.stamp.secs, _x.camera_lane.header.stamp.nsecs))\\n _x = self.camera_lane.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_i3I().pack(_x.camera_lane.messageID, _x.camera_lane.localStamp.header.seq, _x.camera_lane.localStamp.header.stamp.secs, _x.camera_lane.localStamp.header.stamp.nsecs))\\n _x = self.camera_lane.localStamp.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_4d().pack(_x.camera_lane.localStamp.time, _x.camera_lane.localStamp.lat, _x.camera_lane.localStamp.lng, _x.camera_lane.localStamp.height))\\n buff.write(self.camera_lane.localStamp.position.tostring())\\n buff.write(self.camera_lane.localStamp.orientation.tostring())\\n buff.write(self.camera_lane.localStamp.linearSpeed.tostring())\\n buff.write(self.camera_lane.localStamp.angularSpeed.tostring())\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.camera_lane.globalStamp.header.seq, _x.camera_lane.globalStamp.header.stamp.secs, _x.camera_lane.globalStamp.header.stamp.nsecs))\\n _x = self.camera_lane.globalStamp.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_4d().pack(_x.camera_lane.globalStamp.time, _x.camera_lane.globalStamp.lat, _x.camera_lane.globalStamp.lng, _x.camera_lane.globalStamp.height))\\n buff.write(self.camera_lane.globalStamp.position.tostring())\\n buff.write(self.camera_lane.globalStamp.orientation.tostring())\\n buff.write(self.camera_lane.globalStamp.linearSpeed.tostring())\\n buff.write(self.camera_lane.globalStamp.angularSpeed.tostring())\\n _x = self\\n buff.write(_get_struct_2i3did19i3did21i3did7i3did7i4di().pack(_x.camera_lane.l_numoflaneline, _x.camera_lane.l_lanelineid, _x.camera_lane.l_lanepositon, _x.camera_lane.l_lanecurvature, _x.camera_lane.l_lanecurvaturederivative, _x.camera_lane.l_lane_type, _x.camera_lane.l_heading_angle, _x.camera_lane.l_lane_mark_color, _x.camera_lane.l_laneQuality, _x.camera_lane.l_laneWidthMarking, _x.camera_lane.l_laneViewRangStart, _x.camera_lane.l_laneViewRangEnd, _x.camera_lane.l_laneCrossing, _x.camera_lane.l_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.l_lanePRED_OTHER_SIDE, _x.camera_lane.l_lanePRED_OVERRIDE, _x.camera_lane.l_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.l_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.l_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.l_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.l_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.l_lanePRED_SOURCE_STD, _x.camera_lane.l_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.l_laneTCL, _x.camera_lane.r_numoflaneline, _x.camera_lane.r_lanelineid, _x.camera_lane.r_lanepositon, _x.camera_lane.r_lanecurvature, _x.camera_lane.r_lanecurvaturederivative, _x.camera_lane.r_lane_type, _x.camera_lane.r_heading_angle, _x.camera_lane.r_lane_mark_color, _x.camera_lane.r_laneQuality, _x.camera_lane.r_laneWidthMarking, _x.camera_lane.r_laneViewRangStart, _x.camera_lane.r_laneViewRangEnd, _x.camera_lane.r_laneCrossing, _x.camera_lane.r_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.r_lanePRED_OTHER_SIDE, _x.camera_lane.r_lanePRED_OVERRIDE, _x.camera_lane.r_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.r_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.r_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.r_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.r_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.r_lanePRED_SOURCE_STD, _x.camera_lane.r_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.r_laneTCL, _x.camera_lane.next_l_laneViewRangStart, _x.camera_lane.next_l_laneViewRangEnd, _x.camera_lane.next_l_numoflaneline, _x.camera_lane.next_l_lanelineid, _x.camera_lane.next_l_lanepositon, _x.camera_lane.next_l_lanecurvature, _x.camera_lane.next_l_lanecurvaturederivative, _x.camera_lane.next_l_lane_type, _x.camera_lane.next_l_heading_angle, _x.camera_lane.next_l_lane_mark_color, _x.camera_lane.next_l_laneQuality, _x.camera_lane.next_l_laneWidthMarking, _x.camera_lane.next_r_laneViewRangStart, _x.camera_lane.next_r_laneViewRangEnd, _x.camera_lane.next_r_numoflaneline, _x.camera_lane.next_r_lanelineid, _x.camera_lane.next_r_lanepositon, _x.camera_lane.next_r_lanecurvature, _x.camera_lane.next_r_lanecurvaturederivative, _x.camera_lane.next_r_lane_type, _x.camera_lane.next_r_heading_angle, _x.camera_lane.next_r_lane_mark_color, _x.camera_lane.next_r_laneQuality, _x.camera_lane.next_r_laneWidthMarking, _x.camera_lane.highwayConstructionArea, _x.camera_lane.highwayRoadType, _x.camera_lane.highwayHighwayExitRight, _x.camera_lane.highwayHighwayExitLeft, _x.camera_lane.highwayProbabilityLeftLane, _x.camera_lane.highwayProbabilityRightLane, _x.camera_lane.highwayDriving_peed_left_lane, _x.camera_lane.highwayDriving_peed_right_lane, _x.camera_lane.highwayprotocol_version))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n length = len(self.graspable_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.graspable_objects:\\n _x = val1.reference_frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n length = len(val1.potential_models)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.potential_models:\\n _x = val2.model_id\\n buff.write(_get_struct_i().pack(_x))\\n _v63 = val2.type\\n _x = _v63.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = _v63.db\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _v64 = val2.pose\\n _v65 = _v64.header\\n _x = _v65.seq\\n buff.write(_get_struct_I().pack(_x))\\n _v66 = _v65.stamp\\n _x = _v66\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v65.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _v67 = _v64.pose\\n _v68 = _v67.position\\n _x = _v68\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v69 = _v67.orientation\\n _x = _v69\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val2.confidence\\n buff.write(_get_struct_f().pack(_x))\\n _x = val2.detector_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _v70 = val1.cluster\\n _v71 = _v70.header\\n _x = _v71.seq\\n buff.write(_get_struct_I().pack(_x))\\n _v72 = _v71.stamp\\n _x = _v72\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v71.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n length = len(_v70.points)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v70.points:\\n _x = val3\\n buff.write(_get_struct_3f().pack(_x.x, _x.y, _x.z))\\n length = len(_v70.channels)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v70.channels:\\n _x = val3.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n length = len(val3.values)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sf'%length\\n buff.write(val3.values.tostring())\\n _v73 = val1.region\\n _v74 = _v73.cloud\\n _v75 = _v74.header\\n _x = _v75.seq\\n buff.write(_get_struct_I().pack(_x))\\n _v76 = _v75.stamp\\n _x = _v76\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v75.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = _v74\\n buff.write(_get_struct_2I().pack(_x.height, _x.width))\\n length = len(_v74.fields)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v74.fields:\\n _x = val4.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = val4\\n buff.write(_get_struct_IBI().pack(_x.offset, _x.datatype, _x.count))\\n _x = _v74\\n buff.write(_get_struct_B2I().pack(_x.is_bigendian, _x.point_step, _x.row_step))\\n _x = _v74.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\\n else:\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = _v74.is_dense\\n buff.write(_get_struct_B().pack(_x))\\n length = len(_v73.mask)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%si'%length\\n buff.write(_v73.mask.tostring())\\n _v77 = _v73.image\\n _v78 = _v77.header\\n _x = _v78.seq\\n buff.write(_get_struct_I().pack(_x))\\n _v79 = _v78.stamp\\n _x = _v79\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v78.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = _v77\\n buff.write(_get_struct_2I().pack(_x.height, _x.width))\\n _x = _v77.encoding\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = _v77\\n buff.write(_get_struct_BI().pack(_x.is_bigendian, _x.step))\\n _x = _v77.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\\n else:\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _v80 = _v73.disparity_image\\n _v81 = _v80.header\\n _x = _v81.seq\\n buff.write(_get_struct_I().pack(_x))\\n _v82 = _v81.stamp\\n _x = _v82\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v81.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = _v80\\n buff.write(_get_struct_2I().pack(_x.height, _x.width))\\n _x = _v80.encoding\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = _v80\\n buff.write(_get_struct_BI().pack(_x.is_bigendian, _x.step))\\n _x = _v80.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\\n else:\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _v83 = _v73.cam_info\\n _v84 = _v83.header\\n _x = _v84.seq\\n buff.write(_get_struct_I().pack(_x))\\n _v85 = _v84.stamp\\n _x = _v85\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v84.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = _v83\\n buff.write(_get_struct_2I().pack(_x.height, _x.width))\\n _x = _v83.distortion_model\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n length = len(_v83.D)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(_v83.D.tostring())\\n buff.write(_v83.K.tostring())\\n buff.write(_v83.R.tostring())\\n buff.write(_v83.P.tostring())\\n _x = _v83\\n buff.write(_get_struct_2I().pack(_x.binning_x, _x.binning_y))\\n _v86 = _v83.roi\\n _x = _v86\\n buff.write(_get_struct_4IB().pack(_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify))\\n _v87 = _v73.roi_box_pose\\n _v88 = _v87.header\\n _x = _v88.seq\\n buff.write(_get_struct_I().pack(_x))\\n _v89 = _v88.stamp\\n _x = _v89\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v88.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _v90 = _v87.pose\\n _v91 = _v90.position\\n _x = _v91\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v92 = _v90.orientation\\n _x = _v92\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _v93 = _v73.roi_box_dims\\n _x = _v93\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _x = val1.collision_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs))\\n _x = self.image.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_2I().pack(_x.image.height, _x.image.width))\\n _x = self.image.encoding\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_BI().pack(_x.image.is_bigendian, _x.image.step))\\n _x = self.image.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.Struct('<I%sB'%length).pack(length, *_x))\\n else:\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.camera_info.header.seq, _x.camera_info.header.stamp.secs, _x.camera_info.header.stamp.nsecs))\\n _x = self.camera_info.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_2I().pack(_x.camera_info.height, _x.camera_info.width))\\n _x = self.camera_info.distortion_model\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n length = len(self.camera_info.D)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.camera_info.D.tostring())\\n buff.write(self.camera_info.K.tostring())\\n buff.write(self.camera_info.R.tostring())\\n buff.write(self.camera_info.P.tostring())\\n _x = self\\n buff.write(_get_struct_6IB().pack(_x.camera_info.binning_x, _x.camera_info.binning_y, _x.camera_info.roi.x_offset, _x.camera_info.roi.y_offset, _x.camera_info.roi.height, _x.camera_info.roi.width, _x.camera_info.roi.do_rectify))\\n length = len(self.meshes)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.meshes:\\n length = len(val1.triangles)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.triangles:\\n buff.write(val2.vertex_indices.tostring())\\n length = len(val1.vertices)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.vertices:\\n _x = val2\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _x = self\\n buff.write(_get_struct_7d().pack(_x.reference_to_camera.position.x, _x.reference_to_camera.position.y, _x.reference_to_camera.position.z, _x.reference_to_camera.orientation.x, _x.reference_to_camera.orientation.y, _x.reference_to_camera.orientation.z, _x.reference_to_camera.orientation.w))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def _serialize_array(self, array):\\n buffer = io.BytesIO()\\n np.save(buffer, array)\\n return buffer.getvalue()\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_2IQB3I.pack(_x.unique_key, _x.gps_week, _x.gps_millisecond, _x.video_id, _x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs))\\n _x = self.image.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_d21i7bBI6d13i2I.pack(_x.image.localPose.time, _x.image.localPose.dr_x, _x.image.localPose.dr_y, _x.image.localPose.dr_z, _x.image.localPose.dr_heading, _x.image.localPose.dr_roll, _x.image.localPose.dr_pitch, _x.image.localPose.lf_speed, _x.image.localPose.rf_speed, _x.image.localPose.lr_speed, _x.image.localPose.rr_speed, _x.image.localPose.rot_x, _x.image.localPose.rot_y, _x.image.localPose.rot_z, _x.image.localPose.acc_x, _x.image.localPose.acc_y, _x.image.localPose.acc_z, _x.image.localPose.batteryState, _x.image.localPose.batteryEnergy, _x.image.localPose.steer, _x.image.localPose.brake, _x.image.localPose.fuel, _x.image.localPose.trans, _x.image.localPose.VehicleState, _x.image.localPose.mode, _x.image.localPose.drStatus, _x.image.localPose.errorStatus, _x.image.localPose.emergency_flag, _x.image.localPose.hardswitch_on, _x.image.gpsPos.gps_flag, _x.image.gpsPos.gps_week, _x.image.gpsPos.gps_millisecond, _x.image.gpsPos.longitude, _x.image.gpsPos.laltitude, _x.image.gpsPos.gaussX, _x.image.gpsPos.gaussY, _x.image.gpsPos.height, _x.image.gpsPos.pitch, _x.image.gpsPos.roll, _x.image.gpsPos.azimuth, _x.image.gpsPos.northVelocity, _x.image.gpsPos.eastVelocity, _x.image.gpsPos.upVelocity, _x.image.gpsPos.positionStatus, _x.image.gpsPos.rot_x, _x.image.gpsPos.rot_y, _x.image.gpsPos.rot_z, _x.image.gpsPos.acc_x, _x.image.gpsPos.acc_y, _x.image.gpsPos.acc_z, _x.image.height, _x.image.width))\\n _x = self.image.encoding\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n if python3:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_BI.pack(_x.image.is_bigendian, _x.image.step))\\n _x = self.image.data\\n length = len(_x)\\n # - if encoded as a list instead, serialize as bytes instead of string\\n if type(_x) in [list, tuple]:\\n buff.write(struct.pack('<I%sB'%length, length, *_x))\\n else:\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def send_ndarray(sock, data):\\n with io.BytesIO() as f:\\n np.save(f, data)\\n byte_data = f.getvalue()\\n\\n # Pack message length\\n msg = struct.pack('>I', len(byte_data)) + byte_data\\n sock.sendall(msg)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_2i3I().pack(_x.manip_return_code, _x.object_grabber_return_code, _x.des_gripper_pose.header.seq, _x.des_gripper_pose.header.stamp.secs, _x.des_gripper_pose.header.stamp.nsecs))\\n _x = self.des_gripper_pose.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_7di3I().pack(_x.des_gripper_pose.pose.position.x, _x.des_gripper_pose.pose.position.y, _x.des_gripper_pose.pose.position.z, _x.des_gripper_pose.pose.orientation.x, _x.des_gripper_pose.pose.orientation.y, _x.des_gripper_pose.pose.orientation.z, _x.des_gripper_pose.pose.orientation.w, _x.object_finder_return_code, _x.object_pose.header.seq, _x.object_pose.header.stamp.secs, _x.object_pose.header.stamp.nsecs))\\n _x = self.object_pose.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_7d().pack(_x.object_pose.pose.position.x, _x.object_pose.pose.position.y, _x.object_pose.pose.position.z, _x.object_pose.pose.orientation.x, _x.object_pose.pose.orientation.y, _x.object_pose.pose.orientation.z, _x.object_pose.pose.orientation.w))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_2I().pack(_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs))\\n _x = self.goal_id.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.goal.request.workspace_parameters.header.seq, _x.goal.request.workspace_parameters.header.stamp.secs, _x.goal.request.workspace_parameters.header.stamp.nsecs))\\n _x = self.goal.request.workspace_parameters.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_6d3I().pack(_x.goal.request.workspace_parameters.min_corner.x, _x.goal.request.workspace_parameters.min_corner.y, _x.goal.request.workspace_parameters.min_corner.z, _x.goal.request.workspace_parameters.max_corner.x, _x.goal.request.workspace_parameters.max_corner.y, _x.goal.request.workspace_parameters.max_corner.z, _x.goal.request.start_state.joint_state.header.seq, _x.goal.request.start_state.joint_state.header.stamp.secs, _x.goal.request.start_state.joint_state.header.stamp.nsecs))\\n _x = self.goal.request.start_state.joint_state.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.goal.request.start_state.joint_state.name)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.start_state.joint_state.name:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.goal.request.start_state.joint_state.position)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.goal.request.start_state.joint_state.position.tostring())\\n length = len(self.goal.request.start_state.joint_state.velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.goal.request.start_state.joint_state.velocity.tostring())\\n length = len(self.goal.request.start_state.joint_state.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.goal.request.start_state.joint_state.effort.tostring())\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.goal.request.start_state.multi_dof_joint_state.header.seq, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.secs, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.nsecs))\\n _x = self.goal.request.start_state.multi_dof_joint_state.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.goal.request.start_state.multi_dof_joint_state.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.start_state.multi_dof_joint_state.joint_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.goal.request.start_state.multi_dof_joint_state.transforms)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.start_state.multi_dof_joint_state.transforms:\\n _v297 = val1.translation\\n _x = _v297\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v298 = val1.rotation\\n _x = _v298\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.goal.request.start_state.multi_dof_joint_state.twist)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.start_state.multi_dof_joint_state.twist:\\n _v299 = val1.linear\\n _x = _v299\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v300 = val1.angular\\n _x = _v300\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(self.goal.request.start_state.multi_dof_joint_state.wrench)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.start_state.multi_dof_joint_state.wrench:\\n _v301 = val1.force\\n _x = _v301\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v302 = val1.torque\\n _x = _v302\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(self.goal.request.start_state.attached_collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.start_state.attached_collision_objects:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v303 = val1.object\\n _v304 = _v303.header\\n buff.write(_get_struct_I().pack(_v304.seq))\\n _v305 = _v304.stamp\\n _x = _v305\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v304.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v303.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v306 = _v303.type\\n _x = _v306.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v306.db\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(_v303.primitives)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.primitives:\\n buff.write(_get_struct_B().pack(val3.type))\\n length = len(val3.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.dimensions.tostring())\\n length = len(_v303.primitive_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.primitive_poses:\\n _v307 = val3.position\\n _x = _v307\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v308 = val3.orientation\\n _x = _v308\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v303.meshes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.meshes:\\n length = len(val3.triangles)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.triangles:\\n buff.write(val4.vertex_indices.tostring())\\n length = len(val3.vertices)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.vertices:\\n _x = val4\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(_v303.mesh_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.mesh_poses:\\n _v309 = val3.position\\n _x = _v309\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v310 = val3.orientation\\n _x = _v310\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v303.planes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.planes:\\n buff.write(val3.coef.tostring())\\n length = len(_v303.plane_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.plane_poses:\\n _v311 = val3.position\\n _x = _v311\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v312 = val3.orientation\\n _x = _v312\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v303.subframe_names)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.subframe_names:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n length = len(_v303.subframe_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v303.subframe_poses:\\n _v313 = val3.position\\n _x = _v313\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v314 = val3.orientation\\n _x = _v314\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_b().pack(_v303.operation))\\n length = len(val1.touch_links)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.touch_links:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n _v315 = val1.detach_posture\\n _v316 = _v315.header\\n buff.write(_get_struct_I().pack(_v316.seq))\\n _v317 = _v316.stamp\\n _x = _v317\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v316.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(_v315.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v315.joint_names:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n length = len(_v315.points)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v315.points:\\n length = len(val3.positions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.positions.tostring())\\n length = len(val3.velocities)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.velocities.tostring())\\n length = len(val3.accelerations)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.accelerations.tostring())\\n length = len(val3.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.effort.tostring())\\n _v318 = val3.time_from_start\\n _x = _v318\\n buff.write(_get_struct_2i().pack(_x.secs, _x.nsecs))\\n buff.write(_get_struct_d().pack(val1.weight))\\n buff.write(_get_struct_B().pack(self.goal.request.start_state.is_diff))\\n length = len(self.goal.request.goal_constraints)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.goal_constraints:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.joint_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.joint_constraints:\\n _x = val2.joint_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2\\n buff.write(_get_struct_4d().pack(_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight))\\n length = len(val1.position_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.position_constraints:\\n _v319 = val2.header\\n buff.write(_get_struct_I().pack(_v319.seq))\\n _v320 = _v319.stamp\\n _x = _v320\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v319.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v321 = val2.target_point_offset\\n _x = _v321\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v322 = val2.constraint_region\\n length = len(_v322.primitives)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v322.primitives:\\n buff.write(_get_struct_B().pack(val4.type))\\n length = len(val4.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val4.dimensions.tostring())\\n length = len(_v322.primitive_poses)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v322.primitive_poses:\\n _v323 = val4.position\\n _x = _v323\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v324 = val4.orientation\\n _x = _v324\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v322.meshes)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v322.meshes:\\n length = len(val4.triangles)\\n buff.write(_struct_I.pack(length))\\n for val5 in val4.triangles:\\n buff.write(val5.vertex_indices.tostring())\\n length = len(val4.vertices)\\n buff.write(_struct_I.pack(length))\\n for val5 in val4.vertices:\\n _x = val5\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(_v322.mesh_poses)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v322.mesh_poses:\\n _v325 = val4.position\\n _x = _v325\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v326 = val4.orientation\\n _x = _v326\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_d().pack(val2.weight))\\n length = len(val1.orientation_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.orientation_constraints:\\n _v327 = val2.header\\n buff.write(_get_struct_I().pack(_v327.seq))\\n _v328 = _v327.stamp\\n _x = _v328\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v327.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v329 = val2.orientation\\n _x = _v329\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val2.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2\\n buff.write(_get_struct_4d().pack(_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight))\\n length = len(val1.visibility_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.visibility_constraints:\\n buff.write(_get_struct_d().pack(val2.target_radius))\\n _v330 = val2.target_pose\\n _v331 = _v330.header\\n buff.write(_get_struct_I().pack(_v331.seq))\\n _v332 = _v331.stamp\\n _x = _v332\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v331.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v333 = _v330.pose\\n _v334 = _v333.position\\n _x = _v334\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v335 = _v333.orientation\\n _x = _v335\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_i().pack(val2.cone_sides))\\n _v336 = val2.sensor_pose\\n _v337 = _v336.header\\n buff.write(_get_struct_I().pack(_v337.seq))\\n _v338 = _v337.stamp\\n _x = _v338\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v337.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v339 = _v336.pose\\n _v340 = _v339.position\\n _x = _v340\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v341 = _v339.orientation\\n _x = _v341\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val2\\n buff.write(_get_struct_2dBd().pack(_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight))\\n _x = self.goal.request.path_constraints.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.goal.request.path_constraints.joint_constraints)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.path_constraints.joint_constraints:\\n _x = val1.joint_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_get_struct_4d().pack(_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight))\\n length = len(self.goal.request.path_constraints.position_constraints)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.path_constraints.position_constraints:\\n _v342 = val1.header\\n buff.write(_get_struct_I().pack(_v342.seq))\\n _v343 = _v342.stamp\\n _x = _v343\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v342.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v344 = val1.target_point_offset\\n _x = _v344\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v345 = val1.constraint_region\\n length = len(_v345.primitives)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v345.primitives:\\n buff.write(_get_struct_B().pack(val3.type))\\n length = len(val3.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.dimensions.tostring())\\n length = len(_v345.primitive_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v345.primitive_poses:\\n _v346 = val3.position\\n _x = _v346\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v347 = val3.orientation\\n _x = _v347\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v345.meshes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v345.meshes:\\n length = len(val3.triangles)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.triangles:\\n buff.write(val4.vertex_indices.tostring())\\n length = len(val3.vertices)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.vertices:\\n _x = val4\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(_v345.mesh_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v345.mesh_poses:\\n _v348 = val3.position\\n _x = _v348\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v349 = val3.orientation\\n _x = _v349\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_d().pack(val1.weight))\\n length = len(self.goal.request.path_constraints.orientation_constraints)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.path_constraints.orientation_constraints:\\n _v350 = val1.header\\n buff.write(_get_struct_I().pack(_v350.seq))\\n _v351 = _v350.stamp\\n _x = _v351\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v350.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v352 = val1.orientation\\n _x = _v352\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1\\n buff.write(_get_struct_4d().pack(_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight))\\n length = len(self.goal.request.path_constraints.visibility_constraints)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.path_constraints.visibility_constraints:\\n buff.write(_get_struct_d().pack(val1.target_radius))\\n _v353 = val1.target_pose\\n _v354 = _v353.header\\n buff.write(_get_struct_I().pack(_v354.seq))\\n _v355 = _v354.stamp\\n _x = _v355\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v354.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v356 = _v353.pose\\n _v357 = _v356.position\\n _x = _v357\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v358 = _v356.orientation\\n _x = _v358\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_i().pack(val1.cone_sides))\\n _v359 = val1.sensor_pose\\n _v360 = _v359.header\\n buff.write(_get_struct_I().pack(_v360.seq))\\n _v361 = _v360.stamp\\n _x = _v361\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v360.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v362 = _v359.pose\\n _v363 = _v362.position\\n _x = _v363\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v364 = _v362.orientation\\n _x = _v364\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val1\\n buff.write(_get_struct_2dBd().pack(_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight))\\n length = len(self.goal.request.trajectory_constraints.constraints)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.trajectory_constraints.constraints:\\n _x = val1.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.joint_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.joint_constraints:\\n _x = val2.joint_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2\\n buff.write(_get_struct_4d().pack(_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight))\\n length = len(val1.position_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.position_constraints:\\n _v365 = val2.header\\n buff.write(_get_struct_I().pack(_v365.seq))\\n _v366 = _v365.stamp\\n _x = _v366\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v365.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v367 = val2.target_point_offset\\n _x = _v367\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v368 = val2.constraint_region\\n length = len(_v368.primitives)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v368.primitives:\\n buff.write(_get_struct_B().pack(val4.type))\\n length = len(val4.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val4.dimensions.tostring())\\n length = len(_v368.primitive_poses)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v368.primitive_poses:\\n _v369 = val4.position\\n _x = _v369\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v370 = val4.orientation\\n _x = _v370\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v368.meshes)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v368.meshes:\\n length = len(val4.triangles)\\n buff.write(_struct_I.pack(length))\\n for val5 in val4.triangles:\\n buff.write(val5.vertex_indices.tostring())\\n length = len(val4.vertices)\\n buff.write(_struct_I.pack(length))\\n for val5 in val4.vertices:\\n _x = val5\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(_v368.mesh_poses)\\n buff.write(_struct_I.pack(length))\\n for val4 in _v368.mesh_poses:\\n _v371 = val4.position\\n _x = _v371\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v372 = val4.orientation\\n _x = _v372\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_d().pack(val2.weight))\\n length = len(val1.orientation_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.orientation_constraints:\\n _v373 = val2.header\\n buff.write(_get_struct_I().pack(_v373.seq))\\n _v374 = _v373.stamp\\n _x = _v374\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v373.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v375 = val2.orientation\\n _x = _v375\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val2.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2\\n buff.write(_get_struct_4d().pack(_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight))\\n length = len(val1.visibility_constraints)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.visibility_constraints:\\n buff.write(_get_struct_d().pack(val2.target_radius))\\n _v376 = val2.target_pose\\n _v377 = _v376.header\\n buff.write(_get_struct_I().pack(_v377.seq))\\n _v378 = _v377.stamp\\n _x = _v378\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v377.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v379 = _v376.pose\\n _v380 = _v379.position\\n _x = _v380\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v381 = _v379.orientation\\n _x = _v381\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_i().pack(val2.cone_sides))\\n _v382 = val2.sensor_pose\\n _v383 = _v382.header\\n buff.write(_get_struct_I().pack(_v383.seq))\\n _v384 = _v383.stamp\\n _x = _v384\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v383.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v385 = _v382.pose\\n _v386 = _v385.position\\n _x = _v386\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v387 = _v385.orientation\\n _x = _v387\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _x = val2\\n buff.write(_get_struct_2dBd().pack(_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight))\\n length = len(self.goal.request.reference_trajectories)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.request.reference_trajectories:\\n _v388 = val1.header\\n buff.write(_get_struct_I().pack(_v388.seq))\\n _v389 = _v388.stamp\\n _x = _v389\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v388.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.joint_trajectory)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.joint_trajectory:\\n _v390 = val2.header\\n buff.write(_get_struct_I().pack(_v390.seq))\\n _v391 = _v390.stamp\\n _x = _v391\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v390.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.joint_names:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n length = len(val2.points)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.points:\\n length = len(val3.positions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.positions.tostring())\\n length = len(val3.velocities)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.velocities.tostring())\\n length = len(val3.accelerations)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.accelerations.tostring())\\n length = len(val3.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.effort.tostring())\\n _v392 = val3.time_from_start\\n _x = _v392\\n buff.write(_get_struct_2i().pack(_x.secs, _x.nsecs))\\n length = len(val1.cartesian_trajectory)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.cartesian_trajectory:\\n _v393 = val2.header\\n buff.write(_get_struct_I().pack(_v393.seq))\\n _v394 = _v393.stamp\\n _x = _v394\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v393.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val2.tracked_frame\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val2.points)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.points:\\n _v395 = val3.point\\n _v396 = _v395.pose\\n _v397 = _v396.position\\n _x = _v397\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v398 = _v396.orientation\\n _x = _v398\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n _v399 = _v395.velocity\\n _v400 = _v399.linear\\n _x = _v400\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v401 = _v399.angular\\n _x = _v401\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v402 = _v395.acceleration\\n _v403 = _v402.linear\\n _x = _v403\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v404 = _v402.angular\\n _x = _v404\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v405 = val3.time_from_start\\n _x = _v405\\n buff.write(_get_struct_2i().pack(_x.secs, _x.nsecs))\\n _x = self.goal.request.planner_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self.goal.request.group_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_i3d().pack(_x.goal.request.num_planning_attempts, _x.goal.request.allowed_planning_time, _x.goal.request.max_velocity_scaling_factor, _x.goal.request.max_acceleration_scaling_factor))\\n _x = self.goal.planning_options.planning_scene_diff.name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs))\\n _x = self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.position)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.position.tostring())\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.velocity)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.velocity.tostring())\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(self.goal.planning_options.planning_scene_diff.robot_state.joint_state.effort.tostring())\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.nsecs))\\n _x = self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms:\\n _v406 = val1.translation\\n _x = _v406\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v407 = val1.rotation\\n _x = _v407\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist:\\n _v408 = val1.linear\\n _x = _v408\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v409 = val1.angular\\n _x = _v409\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench:\\n _v410 = val1.force\\n _x = _v410\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v411 = val1.torque\\n _x = _v411\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v412 = val1.object\\n _v413 = _v412.header\\n buff.write(_get_struct_I().pack(_v413.seq))\\n _v414 = _v413.stamp\\n _x = _v414\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v413.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v412.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v415 = _v412.type\\n _x = _v415.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v415.db\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(_v412.primitives)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.primitives:\\n buff.write(_get_struct_B().pack(val3.type))\\n length = len(val3.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.dimensions.tostring())\\n length = len(_v412.primitive_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.primitive_poses:\\n _v416 = val3.position\\n _x = _v416\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v417 = val3.orientation\\n _x = _v417\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v412.meshes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.meshes:\\n length = len(val3.triangles)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.triangles:\\n buff.write(val4.vertex_indices.tostring())\\n length = len(val3.vertices)\\n buff.write(_struct_I.pack(length))\\n for val4 in val3.vertices:\\n _x = val4\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(_v412.mesh_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.mesh_poses:\\n _v418 = val3.position\\n _x = _v418\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v419 = val3.orientation\\n _x = _v419\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v412.planes)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.planes:\\n buff.write(val3.coef.tostring())\\n length = len(_v412.plane_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.plane_poses:\\n _v420 = val3.position\\n _x = _v420\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v421 = val3.orientation\\n _x = _v421\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(_v412.subframe_names)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.subframe_names:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n length = len(_v412.subframe_poses)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v412.subframe_poses:\\n _v422 = val3.position\\n _x = _v422\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v423 = val3.orientation\\n _x = _v423\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_b().pack(_v412.operation))\\n length = len(val1.touch_links)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.touch_links:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n _v424 = val1.detach_posture\\n _v425 = _v424.header\\n buff.write(_get_struct_I().pack(_v425.seq))\\n _v426 = _v425.stamp\\n _x = _v426\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v425.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(_v424.joint_names)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v424.joint_names:\\n length = len(val3)\\n if python3 or type(val3) == unicode:\\n val3 = val3.encode('utf-8')\\n length = len(val3)\\n buff.write(struct.pack('<I%ss'%length, length, val3))\\n length = len(_v424.points)\\n buff.write(_struct_I.pack(length))\\n for val3 in _v424.points:\\n length = len(val3.positions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.positions.tostring())\\n length = len(val3.velocities)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.velocities.tostring())\\n length = len(val3.accelerations)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.accelerations.tostring())\\n length = len(val3.effort)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val3.effort.tostring())\\n _v427 = val3.time_from_start\\n _x = _v427\\n buff.write(_get_struct_2i().pack(_x.secs, _x.nsecs))\\n buff.write(_get_struct_d().pack(val1.weight))\\n buff.write(_get_struct_B().pack(self.goal.planning_options.planning_scene_diff.robot_state.is_diff))\\n _x = self.goal.planning_options.planning_scene_diff.robot_model_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(self.goal.planning_options.planning_scene_diff.fixed_frame_transforms)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.fixed_frame_transforms:\\n _v428 = val1.header\\n buff.write(_get_struct_I().pack(_v428.seq))\\n _v429 = _v428.stamp\\n _x = _v429\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v428.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.child_frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v430 = val1.transform\\n _v431 = _v430.translation\\n _x = _v431\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v432 = _v430.rotation\\n _x = _v432\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values:\\n length = len(val1.enabled)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sB'%length\\n buff.write(val1.enabled.tostring())\\n length = len(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names:\\n length = len(val1)\\n if python3 or type(val1) == unicode:\\n val1 = val1.encode('utf-8')\\n length = len(val1)\\n buff.write(struct.pack('<I%ss'%length, length, val1))\\n length = len(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sB'%length\\n buff.write(self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values.tostring())\\n length = len(self.goal.planning_options.planning_scene_diff.link_padding)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.link_padding:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_d().pack(val1.padding))\\n length = len(self.goal.planning_options.planning_scene_diff.link_scale)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.link_scale:\\n _x = val1.link_name\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_d().pack(val1.scale))\\n length = len(self.goal.planning_options.planning_scene_diff.object_colors)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.object_colors:\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v433 = val1.color\\n _x = _v433\\n buff.write(_get_struct_4f().pack(_x.r, _x.g, _x.b, _x.a))\\n length = len(self.goal.planning_options.planning_scene_diff.world.collision_objects)\\n buff.write(_struct_I.pack(length))\\n for val1 in self.goal.planning_options.planning_scene_diff.world.collision_objects:\\n _v434 = val1.header\\n buff.write(_get_struct_I().pack(_v434.seq))\\n _v435 = _v434.stamp\\n _x = _v435\\n buff.write(_get_struct_2I().pack(_x.secs, _x.nsecs))\\n _x = _v434.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = val1.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _v436 = val1.type\\n _x = _v436.key\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = _v436.db\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n length = len(val1.primitives)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.primitives:\\n buff.write(_get_struct_B().pack(val2.type))\\n length = len(val2.dimensions)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sd'%length\\n buff.write(val2.dimensions.tostring())\\n length = len(val1.primitive_poses)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.primitive_poses:\\n _v437 = val2.position\\n _x = _v437\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v438 = val2.orientation\\n _x = _v438\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.meshes)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.meshes:\\n length = len(val2.triangles)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.triangles:\\n buff.write(val3.vertex_indices.tostring())\\n length = len(val2.vertices)\\n buff.write(_struct_I.pack(length))\\n for val3 in val2.vertices:\\n _x = val3\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n length = len(val1.mesh_poses)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.mesh_poses:\\n _v439 = val2.position\\n _x = _v439\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v440 = val2.orientation\\n _x = _v440\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.planes)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.planes:\\n buff.write(val2.coef.tostring())\\n length = len(val1.plane_poses)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.plane_poses:\\n _v441 = val2.position\\n _x = _v441\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v442 = val2.orientation\\n _x = _v442\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n length = len(val1.subframe_names)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.subframe_names:\\n length = len(val2)\\n if python3 or type(val2) == unicode:\\n val2 = val2.encode('utf-8')\\n length = len(val2)\\n buff.write(struct.pack('<I%ss'%length, length, val2))\\n length = len(val1.subframe_poses)\\n buff.write(_struct_I.pack(length))\\n for val2 in val1.subframe_poses:\\n _v443 = val2.position\\n _x = _v443\\n buff.write(_get_struct_3d().pack(_x.x, _x.y, _x.z))\\n _v444 = val2.orientation\\n _x = _v444\\n buff.write(_get_struct_4d().pack(_x.x, _x.y, _x.z, _x.w))\\n buff.write(_get_struct_b().pack(val1.operation))\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.goal.planning_options.planning_scene_diff.world.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.nsecs))\\n _x = self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_get_struct_7d3I().pack(_x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.w, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.nsecs))\\n _x = self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_B().pack(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary))\\n _x = self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n buff.write(_get_struct_d().pack(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.resolution))\\n length = len(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.data)\\n buff.write(_struct_I.pack(length))\\n pattern = '<%sb'%length\\n buff.write(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.data.tostring())\\n _x = self\\n buff.write(_get_struct_3BidBid().pack(_x.goal.planning_options.planning_scene_diff.is_diff, _x.goal.planning_options.plan_only, _x.goal.planning_options.look_around, _x.goal.planning_options.look_around_attempts, _x.goal.planning_options.max_safe_execution_cost, _x.goal.planning_options.replan, _x.goal.planning_options.replan_attempts, _x.goal.planning_options.replan_delay))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_3I.pack(_x.ctrl.header.seq, _x.ctrl.header.stamp.secs, _x.ctrl.header.stamp.nsecs))\\n _x = self.ctrl.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_3I.pack(_x.ctrl.left_em.header.seq, _x.ctrl.left_em.header.stamp.secs, _x.ctrl.left_em.header.stamp.nsecs))\\n _x = self.ctrl.left_em.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_f3I.pack(_x.ctrl.left_em.rate, _x.ctrl.right_em.header.seq, _x.ctrl.right_em.header.stamp.secs, _x.ctrl.right_em.header.stamp.nsecs))\\n _x = self.ctrl.right_em.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_f3I.pack(_x.ctrl.right_em.rate, _x.ctrl.left_em_servo.header.seq, _x.ctrl.left_em_servo.header.stamp.secs, _x.ctrl.left_em_servo.header.stamp.nsecs))\\n _x = self.ctrl.left_em_servo.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_2fB3I.pack(_x.ctrl.left_em_servo.anglex, _x.ctrl.left_em_servo.angley, _x.ctrl.left_em_servo.fix, _x.ctrl.right_em_servo.header.seq, _x.ctrl.right_em_servo.header.stamp.secs, _x.ctrl.right_em_servo.header.stamp.nsecs))\\n _x = self.ctrl.right_em_servo.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_2fB.pack(_x.ctrl.right_em_servo.anglex, _x.ctrl.right_em_servo.angley, _x.ctrl.right_em_servo.fix))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_4B3I.pack(_x.s1, _x.s2, _x.s3, _x.s4, _x.p1.header.seq, _x.p1.header.stamp.secs, _x.p1.header.stamp.nsecs))\\n _x = self.p1.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_3d3I.pack(_x.p1.point.x, _x.p1.point.y, _x.p1.point.z, _x.p2.header.seq, _x.p2.header.stamp.secs, _x.p2.header.stamp.nsecs))\\n _x = self.p2.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_3d3I.pack(_x.p2.point.x, _x.p2.point.y, _x.p2.point.z, _x.p3.header.seq, _x.p3.header.stamp.secs, _x.p3.header.stamp.nsecs))\\n _x = self.p3.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_3d3I.pack(_x.p3.point.x, _x.p3.point.y, _x.p3.point.z, _x.p4.header.seq, _x.p4.header.stamp.secs, _x.p4.header.stamp.nsecs))\\n _x = self.p4.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.pack('<I%ss'%length, length, _x))\\n _x = self\\n buff.write(_struct_3d.pack(_x.p4.point.x, _x.p4.point.y, _x.p4.point.z))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(_x))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(_x))))\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_struct_2i.pack(_x.watch_dog, _x.num))\\n for val1 in self.users:\\n _x = val1\\n buff.write(_struct_2i.pack(_x.id, _x.trackedId))\\n _v25 = val1.date_discovered\\n _x = _v25\\n buff.write(_struct_2I.pack(_x.t_sec, _x.t_usec))\\n _v26 = val1.date\\n _x = _v26\\n buff.write(_struct_2I.pack(_x.t_sec, _x.t_usec))\\n _v27 = val1.state\\n buff.write(_struct_I.pack(_v27.value))\\n _v28 = val1.skeleton\\n for val3 in _v28.joint:\\n buff.write(_struct_d.pack(val3.confidence))\\n _v29 = val3.position\\n _x = _v29\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v30 = _v28.unused\\n buff.write(_struct_I.pack(_v30.value))\\n for val1 in self.filtered_users:\\n _x = val1\\n buff.write(_struct_2i.pack(_x.id, _x.trackedId))\\n _v31 = val1.date_discovered\\n _x = _v31\\n buff.write(_struct_2I.pack(_x.t_sec, _x.t_usec))\\n _v32 = val1.date\\n _x = _v32\\n buff.write(_struct_2I.pack(_x.t_sec, _x.t_usec))\\n _v33 = val1.state\\n buff.write(_struct_I.pack(_v33.value))\\n _v34 = val1.skeleton\\n for val3 in _v34.joint:\\n buff.write(_struct_d.pack(val3.confidence))\\n _v35 = val3.position\\n _x = _v35\\n buff.write(_struct_3d.pack(_x.x, _x.y, _x.z))\\n _v36 = _v34.unused\\n buff.write(_struct_I.pack(_v36.value))\\n except struct.error as se: self._check_types(se)\\n except TypeError as te: self._check_types(te)\",\n \"def serialize_numpy(self, buff, numpy):\\n try:\\n _x = self\\n buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))\\n _x = self.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_2I().pack(_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs))\\n _x = self.goal_id.id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_2i3I().pack(_x.goal.action_code, _x.goal.object_code, _x.goal.pickup_frame.header.seq, _x.goal.pickup_frame.header.stamp.secs, _x.goal.pickup_frame.header.stamp.nsecs))\\n _x = self.goal.pickup_frame.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_7d3I().pack(_x.goal.pickup_frame.pose.position.x, _x.goal.pickup_frame.pose.position.y, _x.goal.pickup_frame.pose.position.z, _x.goal.pickup_frame.pose.orientation.x, _x.goal.pickup_frame.pose.orientation.y, _x.goal.pickup_frame.pose.orientation.z, _x.goal.pickup_frame.pose.orientation.w, _x.goal.dropoff_frame.header.seq, _x.goal.dropoff_frame.header.stamp.secs, _x.goal.dropoff_frame.header.stamp.nsecs))\\n _x = self.goal.dropoff_frame.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_7d3I().pack(_x.goal.dropoff_frame.pose.position.x, _x.goal.dropoff_frame.pose.position.y, _x.goal.dropoff_frame.pose.position.z, _x.goal.dropoff_frame.pose.orientation.x, _x.goal.dropoff_frame.pose.orientation.y, _x.goal.dropoff_frame.pose.orientation.z, _x.goal.dropoff_frame.pose.orientation.w, _x.goal.gripper_goal_frame.header.seq, _x.goal.gripper_goal_frame.header.stamp.secs, _x.goal.gripper_goal_frame.header.stamp.nsecs))\\n _x = self.goal.gripper_goal_frame.header.frame_id\\n length = len(_x)\\n if python3 or type(_x) == unicode:\\n _x = _x.encode('utf-8')\\n length = len(_x)\\n buff.write(struct.Struct('<I%ss'%length).pack(length, _x))\\n _x = self\\n buff.write(_get_struct_7di().pack(_x.goal.gripper_goal_frame.pose.position.x, _x.goal.gripper_goal_frame.pose.position.y, _x.goal.gripper_goal_frame.pose.position.z, _x.goal.gripper_goal_frame.pose.orientation.x, _x.goal.gripper_goal_frame.pose.orientation.y, _x.goal.gripper_goal_frame.pose.orientation.z, _x.goal.gripper_goal_frame.pose.orientation.w, _x.goal.perception_source))\\n except struct.error as se: self._check_types(struct.error(\\\"%s: '%s' when writing '%s'\\\" % (type(se), str(se), str(locals().get('_x', self)))))\\n except TypeError as te: self._check_types(ValueError(\\\"%s: '%s' when writing '%s'\\\" % (type(te), str(te), str(locals().get('_x', self)))))\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 56\\n (_x.command, _x.set_num, _x.paraset_byte54, _x.paraset_byte53, _x.paraset_byte52, _x.paraset_byte51, _x.paraset_byte50, _x.paraset_byte49, _x.paraset_byte48, _x.paraset_byte47, _x.paraset_byte46, _x.paraset_byte45, _x.paraset_byte44, _x.paraset_byte43, _x.paraset_byte42, _x.paraset_byte41, _x.paraset_byte40, _x.paraset_byte39, _x.paraset_byte38, _x.paraset_byte37, _x.paraset_byte36, _x.paraset_byte35, _x.paraset_byte34, _x.paraset_byte33, _x.paraset_byte32, _x.paraset_byte31, _x.paraset_byte30, _x.paraset_byte29, _x.paraset_byte28, _x.paraset_byte27, _x.paraset_byte26, _x.paraset_byte25, _x.paraset_byte24, _x.paraset_byte23, _x.paraset_byte22, _x.paraset_byte21, _x.paraset_byte20, _x.paraset_byte19, _x.paraset_byte18, _x.paraset_byte17, _x.paraset_byte16, _x.paraset_byte15, _x.paraset_byte14, _x.paraset_byte13, _x.paraset_byte12, _x.paraset_byte11, _x.paraset_byte10, _x.paraset_byte9, _x.paraset_byte8, _x.paraset_byte7, _x.paraset_byte6, _x.paraset_byte5, _x.paraset_byte4, _x.paraset_byte3, _x.paraset_byte2, _x.paraset_byte1,) = _get_struct_56B().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.79946846","0.79733205","0.7894134","0.78557587","0.767947","0.7658682","0.7627832","0.75884074","0.75668263","0.7563204","0.7563108","0.75591797","0.7544295","0.75356185","0.7529538","0.7527064","0.7518283","0.751168","0.750116","0.74992543","0.74847126","0.74798083","0.7473273","0.7469029","0.74655706","0.74651986","0.74651563","0.7463061","0.74511164","0.74350506","0.7434506","0.7428486","0.74272174","0.74267644","0.74255353","0.73973644","0.7392449","0.7384589","0.7380766","0.7377933","0.7375844","0.73741955","0.73715407","0.7367216","0.73659265","0.7364261","0.735651","0.73388976","0.732259","0.73216087","0.7313315","0.7308685","0.7307794","0.73039436","0.72992754","0.7288833","0.72814983","0.72530806","0.7252878","0.7247808","0.7241717","0.72405607","0.72341096","0.72191805","0.7218919","0.721583","0.72100943","0.72002095","0.71956146","0.7181583","0.7160049","0.7138531","0.7116613","0.7113875","0.7101325","0.70904297","0.7036333","0.7035911","0.7029446","0.7026029","0.7012623","0.7008378","0.7002812","0.6998942","0.69879836","0.69698673","0.6951519","0.69383323","0.6935048","0.6932977","0.69266194","0.68937016","0.6884886","0.68490845","0.68093854","0.6730086","0.6721918","0.6677915","0.66673833","0.6638737"],"string":"[\n \"0.79946846\",\n \"0.79733205\",\n \"0.7894134\",\n \"0.78557587\",\n \"0.767947\",\n \"0.7658682\",\n \"0.7627832\",\n \"0.75884074\",\n \"0.75668263\",\n \"0.7563204\",\n \"0.7563108\",\n \"0.75591797\",\n \"0.7544295\",\n \"0.75356185\",\n \"0.7529538\",\n \"0.7527064\",\n \"0.7518283\",\n \"0.751168\",\n \"0.750116\",\n \"0.74992543\",\n \"0.74847126\",\n \"0.74798083\",\n \"0.7473273\",\n \"0.7469029\",\n \"0.74655706\",\n \"0.74651986\",\n \"0.74651563\",\n \"0.7463061\",\n \"0.74511164\",\n \"0.74350506\",\n \"0.7434506\",\n \"0.7428486\",\n \"0.74272174\",\n \"0.74267644\",\n \"0.74255353\",\n \"0.73973644\",\n \"0.7392449\",\n \"0.7384589\",\n \"0.7380766\",\n \"0.7377933\",\n \"0.7375844\",\n \"0.73741955\",\n \"0.73715407\",\n \"0.7367216\",\n \"0.73659265\",\n \"0.7364261\",\n \"0.735651\",\n \"0.73388976\",\n \"0.732259\",\n \"0.73216087\",\n \"0.7313315\",\n \"0.7308685\",\n \"0.7307794\",\n \"0.73039436\",\n \"0.72992754\",\n \"0.7288833\",\n \"0.72814983\",\n \"0.72530806\",\n \"0.7252878\",\n \"0.7247808\",\n \"0.7241717\",\n \"0.72405607\",\n \"0.72341096\",\n \"0.72191805\",\n \"0.7218919\",\n \"0.721583\",\n \"0.72100943\",\n \"0.72002095\",\n \"0.71956146\",\n \"0.7181583\",\n \"0.7160049\",\n \"0.7138531\",\n \"0.7116613\",\n \"0.7113875\",\n \"0.7101325\",\n \"0.70904297\",\n \"0.7036333\",\n \"0.7035911\",\n \"0.7029446\",\n \"0.7026029\",\n \"0.7012623\",\n \"0.7008378\",\n \"0.7002812\",\n \"0.6998942\",\n \"0.69879836\",\n \"0.69698673\",\n \"0.6951519\",\n \"0.69383323\",\n \"0.6935048\",\n \"0.6932977\",\n \"0.69266194\",\n \"0.68937016\",\n \"0.6884886\",\n \"0.68490845\",\n \"0.68093854\",\n \"0.6730086\",\n \"0.6721918\",\n \"0.6677915\",\n \"0.66673833\",\n \"0.6638737\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7741082"},"document_rank":{"kind":"string","value":"4"}}},{"rowIdx":88291,"cells":{"query":{"kind":"string","value":"unpack serialized message in str into this message instance using numpy for array types"},"document":{"kind":"string","value":"def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 1\n (self.result,) = _struct_B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 152\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _struct_2d2q14dq.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.msg = str[start:end].decode('utf-8')\n else:\n self.msg = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.position is None:\n self.position = geometry_msgs.msg.Point()\n if self.approach is None:\n self.approach = geometry_msgs.msg.Vector3()\n if self.binormal is None:\n self.binormal = geometry_msgs.msg.Vector3()\n if self.axis is None:\n self.axis = geometry_msgs.msg.Vector3()\n if self.width is None:\n self.width = std_msgs.msg.Float32()\n if self.score is None:\n self.score = std_msgs.msg.Float32()\n if self.sample is None:\n self.sample = geometry_msgs.msg.Point()\n end = 0\n _x = self\n start = end\n end += 128\n (_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z,) = _get_struct_12d2f3d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n end = 0\n _x = self\n start = end\n end += 72\n (_x.originId, _x.originType, _x.destinationId, _x.destinationType, _x.range, _x.ts, _x.seq, _x.rxPower, _x.channel, _x.datarate, _x.prf, _x.preambleLength, _x.txGain, _x.angle,) = _get_struct_ihih3i3d2i2d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.cmd = str[start:end].decode('utf-8')\n else:\n self.cmd = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.cat = str[start:end].decode('utf-8')\n else:\n self.cat = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n if python3:\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.control is None:\n self.control = vesc_msgs.msg.VescCtrl()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 56\n (_x.control.mode, _x.control.duty_cycle, _x.control.current, _x.control.brake, _x.control.speed, _x.control.position, _x.control.servo,) = _get_struct_q6d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n if python3:\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.Header is None:\n self.Header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.Header.seq, _x.Header.stamp.secs, _x.Header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.Header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.Header.frame_id = str[start:end]\n _x = self\n start = end\n end += 11\n (_x.x_pos, _x.y_pos, _x.angle, _x.code_type, _x.code_num,) = _get_struct_2hHBI().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg._Header.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 3\n (_x.gear, _x.front_diff, _x.rear_diff,) = _struct_3B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.sv is None:\n self.sv = None\n end = 0\n _x = self\n start = end\n end += 8\n (_x.rcvTOW, _x.week, _x.numSV, _x.reserved1,) = _get_struct_ih2B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.sv = []\n for i in range(0, length):\n val1 = ublox_msgs.msg.RxmRAW_SV()\n _x = val1\n start = end\n end += 24\n (_x.cpMes, _x.prMes, _x.doMes, _x.sv, _x.mesQI, _x.cno, _x.lli,) = _get_struct_2dfB2bB().unpack(str[start:end])\n self.sv.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.battery_voltage,) = _struct_f.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.flight_mode_ll = str[start:end].decode('utf-8')\n else:\n self.flight_mode_ll = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.state_estimation = str[start:end].decode('utf-8')\n else:\n self.state_estimation = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.position_control = str[start:end].decode('utf-8')\n else:\n self.position_control = str[start:end]\n _x = self\n start = end\n end += 10\n (_x.serial_interface_enabled, _x.serial_interface_active, _x.flight_time, _x.cpu_load,) = _struct_2B2f.unpack(str[start:end])\n self.serial_interface_enabled = bool(self.serial_interface_enabled)\n self.serial_interface_active = bool(self.serial_interface_active)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.motor_status = str[start:end].decode('utf-8')\n else:\n self.motor_status = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.gps_status = str[start:end].decode('utf-8')\n else:\n self.gps_status = str[start:end]\n _x = self\n start = end\n end += 9\n (_x.gps_num_satellites, _x.have_SSDK_parameters, _x.timesync_offset,) = _struct_iBf.unpack(str[start:end])\n self.have_SSDK_parameters = bool(self.have_SSDK_parameters)\n start = end\n end += 16\n self.rc_channel = numpy.frombuffer(str[start:end], dtype=numpy.uint16, count=8)\n start = end\n end += 12\n self.control_axes = numpy.frombuffer(str[start:end], dtype=numpy.uint16, count=6)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.control_buttons = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n _x = self\n start = end\n end += 48\n (_x.latitude, _x.longitude, _x.altitude, _x.pressure_height, _x.velocity_x, _x.velocity_y,) = _struct_6d.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 29\n (_x.status, _x.index, _x.range, _x.range_rate, _x.range_accl, _x.azimuth, _x.lateral_rate, _x.width, _x.is_mr_update, _x.is_lr_update, _x.amplitude,) = _get_struct_2B6f2Bb().unpack(str[start:end])\n self.is_mr_update = bool(self.is_mr_update)\n self.is_lr_update = bool(self.is_lr_update)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.vehicle_id is None:\n self.vehicle_id = opil_v2.msg.Id()\n if self.action_capability is None:\n self.action_capability = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.vehicle_id.id,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.vehicle_id.description = str[start:end].decode('utf-8')\n else:\n self.vehicle_id.description = str[start:end]\n _x = self\n start = end\n end += 84\n (_x.left_size, _x.right_size, _x.front_size, _x.rear_size, _x.min_height, _x.max_height, _x.payload, _x.max_pos_x_vel, _x.max_neg_x_vel, _x.max_pos_x_acc, _x.max_neg_x_acc, _x.max_pos_y_vel, _x.max_neg_y_vel, _x.max_pos_y_acc, _x.max_neg_y_acc, _x.max_pos_ang_vel, _x.max_neg_ang_vel, _x.velocity_control_sensitivity, _x.min_turning_radius, _x.batt_capacity, _x.batt_max_voltage,) = _get_struct_21f().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.vehicle_type = str[start:end].decode('utf-8')\n else:\n self.vehicle_type = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.vendor = str[start:end].decode('utf-8')\n else:\n self.vendor = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.action_capability = []\n for i in range(0, length):\n val1 = opil_v2.msg.RobotAction()\n _x = val1\n start = end\n end += 2\n (_x.category, _x.action,) = _get_struct_2B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.attributes = []\n for i in range(0, length):\n val2 = opil_v2.msg.Tuple()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.type = str[start:end].decode('utf-8')\n else:\n val2.type = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.value = str[start:end].decode('utf-8')\n else:\n val2.value = str[start:end]\n val1.attributes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.description = str[start:end].decode('utf-8')\n else:\n val1.description = str[start:end]\n self.action_capability.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 36\n (_x.mask, _x.dynModel, _x.fixMode, _x.fixedAlt, _x.fixedAltVar, _x.minElev, _x.drLimit, _x.pDop, _x.tDop, _x.pAcc, _x.tAcc, _x.staticHoldThresh, _x.dgpsTimeOut, _x.reserved2, _x.reserved3, _x.reserved4,) = _get_struct_H2BiIbB4H2B3I().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 57\n (_x.decision, _x.distance, _x.oriX, _x.oriY, _x.oriZ, _x.placX, _x.placY, _x.placZ,) = _get_struct_b7d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 8\n (self.i,) = _struct_d.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.icon is None:\n self.icon = rocon_std_msgs.msg.Icon()\n if self.remappings is None:\n self.remappings = None\n if self.pairing is None:\n self.pairing = rocon_interaction_msgs.msg.Pairing()\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.name = str[start:end].decode('utf-8')\n else:\n self.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.compatibility = str[start:end].decode('utf-8')\n else:\n self.compatibility = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.display_name = str[start:end].decode('utf-8')\n else:\n self.display_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.description = str[start:end].decode('utf-8')\n else:\n self.description = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.namespace = str[start:end].decode('utf-8')\n else:\n self.namespace = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.icon.resource_name = str[start:end].decode('utf-8')\n else:\n self.icon.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.icon.format = str[start:end].decode('utf-8')\n else:\n self.icon.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.icon.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.remappings = []\n for i in range(0, length):\n val1 = rocon_std_msgs.msg.Remapping()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.remap_from = str[start:end].decode('utf-8')\n else:\n val1.remap_from = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.remap_to = str[start:end].decode('utf-8')\n else:\n val1.remap_to = str[start:end]\n self.remappings.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.parameters = str[start:end].decode('utf-8')\n else:\n self.parameters = str[start:end]\n start = end\n end += 4\n (self.max,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.pairing.rapp = str[start:end].decode('utf-8')\n else:\n self.pairing.rapp = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.pairing.remappings = []\n for i in range(0, length):\n val1 = rocon_std_msgs.msg.Remapping()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.remap_from = str[start:end].decode('utf-8')\n else:\n val1.remap_from = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.remap_to = str[start:end].decode('utf-8')\n else:\n val1.remap_to = str[start:end]\n self.pairing.remappings.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.pairing.parameters = []\n for i in range(0, length):\n val1 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.key = str[start:end].decode('utf-8')\n else:\n val1.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.value = str[start:end].decode('utf-8')\n else:\n val1.value = str[start:end]\n self.pairing.parameters.append(val1)\n start = end\n end += 4\n (self.hash,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.role = str[start:end].decode('utf-8')\n else:\n self.role = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.x is None:\n self.x = geometry_msgs.msg.PoseStamped()\n if self.x_desi is None:\n self.x_desi = geometry_msgs.msg.PoseStamped()\n if self.x_desi_filtered is None:\n self.x_desi_filtered = geometry_msgs.msg.PoseStamped()\n if self.x_err is None:\n self.x_err = geometry_msgs.msg.Twist()\n if self.xd is None:\n self.xd = geometry_msgs.msg.Twist()\n if self.xd_desi is None:\n self.xd_desi = geometry_msgs.msg.Twist()\n if self.F is None:\n self.F = geometry_msgs.msg.Wrench()\n if self.J is None:\n self.J = std_msgs.msg.Float64MultiArray()\n if self.N is None:\n self.N = std_msgs.msg.Float64MultiArray()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x_desi.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x_desi.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x_desi_filtered.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x_desi_filtered.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 248\n (_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z,) = _get_struct_31d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau_pose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau_posture = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.J.layout.dim = []\n for i in range(0, length):\n val1 = std_msgs.msg.MultiArrayDimension()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.label = str[start:end].decode('utf-8')\n else:\n val1.label = str[start:end]\n _x = val1\n start = end\n end += 8\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\n self.J.layout.dim.append(val1)\n start = end\n end += 4\n (self.J.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.J.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.N.layout.dim = []\n for i in range(0, length):\n val1 = std_msgs.msg.MultiArrayDimension()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.label = str[start:end].decode('utf-8')\n else:\n val1.label = str[start:end]\n _x = val1\n start = end\n end += 8\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\n self.N.layout.dim.append(val1)\n start = end\n end += 4\n (self.N.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.N.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.model is None:\n self.model = articulation_msgs.msg.ModelMsg()\n if self.data is None:\n self.data = articulation_msgs.msg.ModelMsg()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.model.header.seq, _x.model.header.stamp.secs, _x.model.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model.name = str[start:end].decode('utf-8')\n else:\n self.model.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.model.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.model.track.header.seq, _x.model.track.header.stamp.secs, _x.model.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v43 = val1.position\n _x = _v43\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v44 = val1.orientation\n _x = _v44\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v45 = val1.stamp\n _x = _v45\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.model.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v46 = val1.position\n _x = _v46\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v47 = val1.orientation\n _x = _v47\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v48 = val1.position\n _x = _v48\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v49 = val1.orientation\n _x = _v49\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.model.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n self.model.track.channels.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data.header.seq, _x.data.header.stamp.secs, _x.data.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data.name = str[start:end].decode('utf-8')\n else:\n self.data.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.data.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data.track.header.seq, _x.data.track.header.stamp.secs, _x.data.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v50 = val1.position\n _x = _v50\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v51 = val1.orientation\n _x = _v51\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v52 = val1.stamp\n _x = _v52\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.data.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v53 = val1.position\n _x = _v53\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v54 = val1.orientation\n _x = _v54\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v55 = val1.position\n _x = _v55\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v56 = val1.orientation\n _x = _v56\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.data.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n self.data.track.channels.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.model_aligned is None:\n self.model_aligned = articulation_msgs.msg.ModelMsg()\n if self.data_aligned is None:\n self.data_aligned = articulation_msgs.msg.ModelMsg()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model_aligned.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model_aligned.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.name = str[start:end].decode('utf-8')\n else:\n self.model_aligned.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.model_aligned.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model_aligned.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model_aligned.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v99 = val1.position\n _x = _v99\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v100 = val1.orientation\n _x = _v100\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v101 = val1.stamp\n _x = _v101\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.model_aligned.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v102 = val1.position\n _x = _v102\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v103 = val1.orientation\n _x = _v103\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v104 = val1.position\n _x = _v104\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v105 = val1.orientation\n _x = _v105\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.model_aligned.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n self.model_aligned.track.channels.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data_aligned.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data_aligned.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.name = str[start:end].decode('utf-8')\n else:\n self.data_aligned.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.data_aligned.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data_aligned.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data_aligned.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v106 = val1.position\n _x = _v106\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v107 = val1.orientation\n _x = _v107\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v108 = val1.stamp\n _x = _v108\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.data_aligned.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v109 = val1.position\n _x = _v109\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v110 = val1.orientation\n _x = _v110\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v111 = val1.position\n _x = _v111\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v112 = val1.orientation\n _x = _v112\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.data_aligned.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n self.data_aligned.track.channels.append(val1)\n start = end\n end += 72\n self.R = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\n start = end\n end += 24\n self.T = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 12\n (_x.dist_rot, _x.dist_trans,) = _struct_df.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 34\n (_x.sensorId, _x.id, _x.length, _x.width, _x.measstat, _x.existprob, _x.dynprop, _x.latdisp, _x.longdisp, _x.relxdot, _x.relxddot, _x.latspeed, _x.obsprob, _x.rollcount, _x.rcs,) = _struct_H6B5f2Bf.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.tsp_turtles = str[start:end].decode('utf-8')\n else:\n self.tsp_turtles = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.conveyor_turtle = str[start:end].decode('utf-8')\n else:\n self.conveyor_turtle = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.catch_turtle = str[start:end].decode('utf-8')\n else:\n self.catch_turtle = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 56\n (_x.command, _x.set_num, _x.paraset_byte54, _x.paraset_byte53, _x.paraset_byte52, _x.paraset_byte51, _x.paraset_byte50, _x.paraset_byte49, _x.paraset_byte48, _x.paraset_byte47, _x.paraset_byte46, _x.paraset_byte45, _x.paraset_byte44, _x.paraset_byte43, _x.paraset_byte42, _x.paraset_byte41, _x.paraset_byte40, _x.paraset_byte39, _x.paraset_byte38, _x.paraset_byte37, _x.paraset_byte36, _x.paraset_byte35, _x.paraset_byte34, _x.paraset_byte33, _x.paraset_byte32, _x.paraset_byte31, _x.paraset_byte30, _x.paraset_byte29, _x.paraset_byte28, _x.paraset_byte27, _x.paraset_byte26, _x.paraset_byte25, _x.paraset_byte24, _x.paraset_byte23, _x.paraset_byte22, _x.paraset_byte21, _x.paraset_byte20, _x.paraset_byte19, _x.paraset_byte18, _x.paraset_byte17, _x.paraset_byte16, _x.paraset_byte15, _x.paraset_byte14, _x.paraset_byte13, _x.paraset_byte12, _x.paraset_byte11, _x.paraset_byte10, _x.paraset_byte9, _x.paraset_byte8, _x.paraset_byte7, _x.paraset_byte6, _x.paraset_byte5, _x.paraset_byte4, _x.paraset_byte3, _x.paraset_byte2, _x.paraset_byte1,) = _get_struct_56B().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.prefixes is None:\n self.prefixes = None\n if self.address is None:\n self.address = knowrob_semantic_map_msgs.msg.SemMapAddress()\n if self.objects is None:\n self.objects = None\n if self.actions is None:\n self.actions = None\n if self.object_properties is None:\n self.object_properties = None\n if self.data_properties is None:\n self.data_properties = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.namespace = str[start:end].decode('utf-8')\n else:\n self.namespace = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.id = str[start:end].decode('utf-8')\n else:\n self.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.prefixes = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapPrefix()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.prefix = str[start:end].decode('utf-8')\n else:\n val1.prefix = str[start:end]\n self.prefixes.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.imports = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.imports.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.room_nr = str[start:end].decode('utf-8')\n else:\n self.address.room_nr = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.floor_nr = str[start:end].decode('utf-8')\n else:\n self.address.floor_nr = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.street_nr = str[start:end].decode('utf-8')\n else:\n self.address.street_nr = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.street_name = str[start:end].decode('utf-8')\n else:\n self.address.street_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.address.city_name = str[start:end].decode('utf-8')\n else:\n self.address.city_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.objects = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapObject()\n _v19 = val1.header\n start = end\n end += 4\n (_v19.seq,) = _struct_I.unpack(str[start:end])\n _v20 = _v19.stamp\n _x = _v20\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v19.frame_id = str[start:end].decode('utf-8')\n else:\n _v19.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.type = str[start:end].decode('utf-8')\n else:\n val1.type = str[start:end]\n _v21 = val1.size\n _x = _v21\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\n _v22 = val1.pose\n _v23 = _v22.position\n _x = _v23\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v24 = _v22.orientation\n _x = _v24\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.part_of = str[start:end].decode('utf-8')\n else:\n val1.part_of = str[start:end]\n self.objects.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.actions = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapAction()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.type = str[start:end].decode('utf-8')\n else:\n val1.type = str[start:end]\n start = end\n end += 1\n (val1.asserted,) = _struct_B.unpack(str[start:end])\n val1.asserted = bool(val1.asserted)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.object_acted_on = str[start:end].decode('utf-8')\n else:\n val1.object_acted_on = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.subactions = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.subactions.append(val2)\n _x = val1\n start = end\n end += 2\n (_x.quantification, _x.unordered,) = _struct_bB.unpack(str[start:end])\n val1.unordered = bool(val1.unordered)\n self.actions.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.object_properties = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapObjectProperty()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.subject = str[start:end].decode('utf-8')\n else:\n val1.subject = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.object = str[start:end].decode('utf-8')\n else:\n val1.object = str[start:end]\n self.object_properties.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_properties = []\n for i in range(0, length):\n val1 = knowrob_semantic_map_msgs.msg.SemMapDataProperty()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.subject = str[start:end].decode('utf-8')\n else:\n val1.subject = str[start:end]\n start = end\n end += 1\n (val1.value_type,) = _struct_B.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.value = str[start:end].decode('utf-8')\n else:\n val1.value = str[start:end]\n self.data_properties.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.type is None:\n self.type = std_msgs.msg.String()\n if self.parent_name is None:\n self.parent_name = std_msgs.msg.String()\n if self.name is None:\n self.name = std_msgs.msg.String()\n if self.pose is None:\n self.pose = geometry_msgs.msg.Pose()\n if self.sensed_objects is None:\n self.sensed_objects = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.sim_step,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.type.data = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.type.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.parent_name.data = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.parent_name.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.name.data = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.name.data = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.wall_time, _x.sim_time, _x.pose.position.x, _x.pose.position.y, _x.pose.position.z, _x.pose.orientation.x, _x.pose.orientation.y, _x.pose.orientation.z, _x.pose.orientation.w, _x.count,) = _get_struct_2f7dI().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sB'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.triggered = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\n self.triggered = list(map(bool, self.triggered))\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.range = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.measurement = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.sensed_objects = []\n for i in range(0, length):\n val1 = std_msgs.msg.String()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.data = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1.data = str[start:end]\n self.sensed_objects.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.sensed_objects_map = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 100\n (_x.id, _x.age, _x.velocidad_relativa_x, _x.velocidad_relativa_y, _x.velocidad_absoluta_x, _x.velocidad_absoluta_y, _x.velocidad_absoluta_sigma_x, _x.velocidad_absoluta_sigma_y, _x.bounding_box_centro_x, _x.bounding_box_centro_y, _x.bounding_box_largo, _x.bounding_box_ancho, _x.object_box_centro_x, _x.object_box_centro_y, _x.object_box_orientacion, _x.object_box_size_x, _x.object_box_size_y, _x.clasificacion, _x.clasificacion_age, _x.clasificacion_certeza, _x.punto_cercano_x, _x.punto_cercano_y, _x.punto_referencia_x, _x.punto_referencia_y, _x.punto_referencia_sigma_x, _x.punto_referencia_sigma_y,) = _get_struct_h16fh8f().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.RPY is None:\n self.RPY = geometry_msgs.msg.Vector3()\n if self.LLA is None:\n self.LLA = geometry_msgs.msg.Vector3()\n if self.NedVel is None:\n self.NedVel = geometry_msgs.msg.Vector3()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 116\n (_x.Time, _x.Week, _x.Status, _x.RPY.x, _x.RPY.y, _x.RPY.z, _x.LLA.x, _x.LLA.y, _x.LLA.z, _x.NedVel.x, _x.NedVel.y, _x.NedVel.z, _x.YawUncertainty, _x.PitchUncertainty, _x.RollUncertainty, _x.PosUncertainty, _x.VelUncertainty, _x.SyncInTime, _x.SyncInCount,) = _get_struct_d2H9d5fdI().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 112\n (_x.u0, _x.h0, _x.vl, _x.i0, _x.wv, _x.wh, _x.wi, _x.h_stop, _x.T_gap, _x.v_max, _x.v_min, _x.h_min, _x.i_max, _x.i_min,) = _struct_14d.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.pointA is None:\n self.pointA = nubot_common.msg.Point2d()\n if self.pointB is None:\n self.pointB = nubot_common.msg.Point2d()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 26\n (_x.MatchMode, _x.MatchType, _x.TestMode, _x.pointA.x, _x.pointA.y, _x.pointB.x, _x.pointB.y, _x.angleA, _x.angleB, _x.idA, _x.idB, _x.kickforce,) = _get_struct_3B4f2h3B().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.pose is None:\n self.pose = geometry_msgs.msg.PoseWithCovariance()\n end = 0\n _x = self\n start = end\n end += 72\n (_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w,) = _get_struct_Q8d().unpack(str[start:end])\n start = end\n end += 288\n self.pose.covariance = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=36)\n _x = self\n start = end\n end += 40\n (_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h,) = _get_struct_5d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.modality = str[start:end].decode('utf-8')\n else:\n self.modality = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.embed_vector = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg._Header.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 9\n (_x.dvl_sts, _x.svs_sts, _x.fog_sts, _x.nav_sts, _x.bat_sts, _x.t_sts, _x.h_sts, _x.p_sts, _x.water_sts,) = _struct_9B.unpack(str[start:end])\n self.dvl_sts = bool(self.dvl_sts)\n self.svs_sts = bool(self.svs_sts)\n self.fog_sts = bool(self.fog_sts)\n self.nav_sts = bool(self.nav_sts)\n self.bat_sts = bool(self.bat_sts)\n self.t_sts = bool(self.t_sts)\n self.h_sts = bool(self.h_sts)\n self.p_sts = bool(self.p_sts)\n self.water_sts = bool(self.water_sts)\n return self\n except struct.error as e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.predict is None:\n self.predict = argus_msgs.msg.FilterPredictStep()\n if self.update is None:\n self.update = argus_msgs.msg.FilterUpdateStep()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 26\n (_x.step_num, _x.info_type, _x.predict.step_dt, _x.predict.trans_jacobian.column_major, _x.predict.trans_jacobian.rows, _x.predict.trans_jacobian.cols,) = _get_struct_QBdB2I().unpack(str[start:end])\n self.predict.trans_jacobian.column_major = bool(self.predict.trans_jacobian.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.predict.trans_jacobian.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.predict.trans_noise_cov.column_major, _x.predict.trans_noise_cov.rows, _x.predict.trans_noise_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.predict.trans_noise_cov.column_major = bool(self.predict.trans_noise_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.predict.trans_noise_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.predict.prior_state_cov.column_major, _x.predict.prior_state_cov.rows, _x.predict.prior_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.predict.prior_state_cov.column_major = bool(self.predict.prior_state_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.predict.prior_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.predict.post_state_cov.column_major, _x.predict.post_state_cov.rows, _x.predict.post_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.predict.post_state_cov.column_major = bool(self.predict.post_state_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.predict.post_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.update.prior_state_cov.column_major, _x.update.prior_state_cov.rows, _x.update.prior_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.prior_state_cov.column_major = bool(self.update.prior_state_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.prior_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.prior_obs_error = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.update.obs_error_cov.column_major, _x.update.obs_error_cov.rows, _x.update.obs_error_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.obs_error_cov.column_major = bool(self.update.obs_error_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.obs_error_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.update.post_state_cov.column_major, _x.update.post_state_cov.rows, _x.update.post_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.post_state_cov.column_major = bool(self.update.post_state_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.post_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.state_delta = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.post_obs_error = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.update.obs_jacobian.column_major, _x.update.obs_jacobian.rows, _x.update.obs_jacobian.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.obs_jacobian.column_major = bool(self.update.obs_jacobian.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.obs_jacobian.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 9\n (_x.update.obs_noise_cov.column_major, _x.update.obs_noise_cov.rows, _x.update.obs_noise_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\n self.update.obs_noise_cov.column_major = bool(self.update.obs_noise_cov.column_major)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.update.obs_noise_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 1\n (self.type,) = _struct_B.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model = str[start:end].decode('utf-8')\n else:\n self.model = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.head_version = str[start:end].decode('utf-8')\n else:\n self.head_version = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.body_version = str[start:end].decode('utf-8')\n else:\n self.body_version = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.arm_version = str[start:end].decode('utf-8')\n else:\n self.arm_version = str[start:end]\n _x = self\n start = end\n end += 14\n (_x.has_laser, _x.has_extended_arms, _x.number_of_legs, _x.number_of_arms, _x.number_of_hands,) = _struct_2B3i.unpack(str[start:end])\n self.has_laser = bool(self.has_laser)\n self.has_extended_arms = bool(self.has_extended_arms)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.base is None:\n self.base = rwrc12_msgs.msg.CellBase()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.base.header.seq, _x.base.header.stamp.secs, _x.base.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.base.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.base.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 20\n (_x.base.cell_width, _x.base.cell_height, _x.base.position.x, _x.base.position.y, _x.base.position.z,) = _struct_5f.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.base.points = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Point32()\n _x = val1\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\n self.base.points.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.base.intensity = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n start = end\n end += 1\n (self.base.cost,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.base.label = str[start:end].decode('utf-8')\n else:\n self.base.label = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.mean_height, _x.mean_intensity,) = _struct_2f.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.cond_transition is None:\n self.cond_transition = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.state_path = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.state_path = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.state_class = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.state_class = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.initial_state_name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.initial_state_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.input_keys = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.input_keys.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.output_keys = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.output_keys.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.cond_outcome = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.cond_outcome.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.cond_transition = []\n for i in range(0, length):\n val1 = flexbe_msgs.msg.OutcomeCondition()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.state_name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val2 = str[start:end]\n val1.state_name.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.state_outcome = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val2 = str[start:end]\n val1.state_outcome.append(val2)\n self.cond_transition.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.behavior_class = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.behavior_class = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.parameter_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.parameter_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.parameter_values = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.parameter_values.append(val1)\n start = end\n end += 8\n self.position = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.outcomes = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.outcomes.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.transitions = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.transitions.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sb'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.autonomy = numpy.frombuffer(str[start:end], dtype=numpy.int8, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.userdata_keys = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.userdata_keys.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.userdata_remapping = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1 = str[start:end]\n self.userdata_remapping.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 6\n (_x.sbpl_wait_flag, _x.sbpl_present_x, _x.sbpl_present_y, _x.sbpl_new_x, _x.sbpl_new_y, _x.start_P3DX_motion,) = _struct_B4bB.unpack(str[start:end])\n self.sbpl_wait_flag = bool(self.sbpl_wait_flag)\n self.start_P3DX_motion = bool(self.start_P3DX_motion)\n return self\n except struct.error as e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n if python3:\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 86\n (_x.sample_count, _x.ekf_roll, _x.ekf_pitch, _x.ekf_yaw, _x.ekf_lat, _x.ekf_lon, _x.ekf_alt, _x.ekf_vN, _x.ekf_vE, _x.ekf_vD, _x.ekf_vX, _x.ekf_vY, _x.ekf_vZ, _x.rad_gyro_X, _x.rad_gyro_Y, _x.rad_gyro_Z, _x.angular_acc_X, _x.angular_acc_Y, _x.angular_acc_Z, _x.alt_DVL,) = _get_struct_I3f2d13fH().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.dvl_error_code = str[start:end]\n _x = self\n start = end\n end += 73\n (_x.flag_to_check, _x.imu_deg_gyro_X, _x.imu_deg_gyro_Y, _x.imu_deg_gyro_Z, _x.imu_mag_X, _x.imu_mag_Y, _x.imu_mag_Z, _x.imu_acc_X, _x.imu_acc_Y, _x.imu_acc_Z, _x.gps_lat, _x.gps_lon, _x.gps_alt, _x.gps_vN, _x.gps_vE, _x.gps_vD, _x.dvl_vX, _x.dvl_vY, _x.dvl_vZ,) = _get_struct_B9f2i7f().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.actors is None:\n self.actors = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.actors = []\n for i in range(0, length):\n val1 = nesfr3_msgs.msg.Actor()\n _v25 = val1.header\n start = end\n end += 4\n (_v25.seq,) = _get_struct_I().unpack(str[start:end])\n _v26 = _v25.stamp\n _x = _v26\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v25.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v25.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (val1.tracking_id,) = _get_struct_I().unpack(str[start:end])\n _v27 = val1.pose\n _v28 = _v27.pose\n _v29 = _v28.position\n _x = _v29\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v30 = _v28.orientation\n _x = _v30\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 288\n _v27.covariance = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=36)\n val1.points = []\n for i in range(0, 18):\n val2 = nesfr3_msgs.msg.PointWithConfidence()\n _v31 = val2.point\n _x = _v31\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 4\n (val2.confidence,) = _get_struct_f().unpack(str[start:end])\n val1.points.append(val2)\n _v32 = val1.nose_point\n _x = _v32\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.actors.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 56\n (_x.s_x, _x.s_y, _x.f_x, _x.f_y, _x.step_size, _x.bias_param, _x.max_iteration,) = _struct_7q.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 1\n (self.success,) = _struct_B.unpack(str[start:end])\n self.success = bool(self.success)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.c0 is None:\n self.c0 = bh_motion.msg.Vector3()\n if self.c1 is None:\n self.c1 = bh_motion.msg.Vector3()\n if self.c2 is None:\n self.c2 = bh_motion.msg.Vector3()\n end = 0\n _x = self\n start = end\n end += 36\n (_x.c0.x, _x.c0.y, _x.c0.z, _x.c1.x, _x.c1.y, _x.c1.z, _x.c2.x, _x.c2.y, _x.c2.z,) = _struct_9f.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.canmsg = str[start:end].decode('utf-8')\n else:\n self.canmsg = str[start:end]\n _x = self\n start = end\n end += 30\n (_x.track_id, _x.track_lat_rate, _x.track_group_changed, _x.track_status, _x.track_angle, _x.track_range, _x.track_bridge_object, _x.track_rolling_count, _x.track_width, _x.track_range_accel, _x.track_med_range_mode, _x.track_range_rate,) = _get_struct_Bf2B2f2B2fBf().unpack(str[start:end])\n self.track_group_changed = bool(self.track_group_changed)\n self.track_bridge_object = bool(self.track_bridge_object)\n self.track_rolling_count = bool(self.track_rolling_count)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 72\n (_x.health, _x.utcA0, _x.utcA1, _x.utcTOW, _x.utcWNT, _x.utcLS, _x.utcWNF, _x.utcDN, _x.utcLSF, _x.utcSpare, _x.klobA0, _x.klobA1, _x.klobA2, _x.klobA3, _x.klobB0, _x.klobB1, _x.klobB2, _x.klobB3, _x.flags,) = _get_struct_I2di6h8fI().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 16\n (_x.FL_vel, _x.FR_vel, _x.BL_vel, _x.BR_vel,) = _struct_4i.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 12\n (_x.hlive, _x.hstate, _x.hfinished, _x.pressure, _x.c1, _x.c2, _x.c3, _x.c4, _x.c5, _x.c6, _x.c7, _x.c8,) = _struct_12B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 24\n (_x.sysid, _x.compid, _x.limits_state, _x.last_trigger, _x.last_action, _x.last_recovery, _x.last_clear, _x.breach_count, _x.mods_enabled, _x.mods_required, _x.mods_triggered,) = _struct_3B4IH3B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.nodes is None:\n self.nodes = None\n end = 0\n _x = self\n start = end\n end += 14\n (_x.role, _x.id, _x.local_time, _x.system_time, _x.voltage,) = _get_struct_2B2If().unpack(str[start:end])\n start = end\n end += 12\n self.pos_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\n start = end\n end += 12\n self.eop_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\n start = end\n end += 12\n self.vel_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\n start = end\n end += 12\n self.angle_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\n start = end\n end += 16\n self.quaternion = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=4)\n start = end\n end += 12\n self.imu_gyro_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\n start = end\n end += 12\n self.imu_acc_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.nodes = []\n for i in range(0, length):\n val1 = nlink_parser.msg.LinktrackNode2()\n _x = val1\n start = end\n end += 14\n (_x.role, _x.id, _x.dis, _x.fp_rssi, _x.rx_rssi,) = _get_struct_2B3f().unpack(str[start:end])\n self.nodes.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.Hlines is None:\n self.Hlines = None\n if self.Vlines is None:\n self.Vlines = None\n if self.regions is None:\n self.regions = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 4\n (_x.image_width, _x.image_height,) = _get_struct_2H().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.Hlines = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Point()\n _x = val1\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.Hlines.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.Vlines = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Point()\n _x = val1\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.Vlines.append(val1)\n start = end\n end += 2\n (self.PFPS,) = _get_struct_H().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.regions = []\n for i in range(0, length):\n val1 = cooperative_driving_vision.msg.Region()\n _v7 = val1.color\n _x = _v7\n start = end\n end += 16\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\n _v8 = val1.moment\n _x = _v8\n start = end\n end += 40\n (_x.m00, _x.m10, _x.m01, _x.m11, _x.m20, _x.m02, _x.m21, _x.m12, _x.m30, _x.m03,) = _get_struct_10f().unpack(str[start:end])\n self.regions.append(val1)\n _x = self\n start = end\n end += 4\n (_x.box_width, _x.box_height,) = _get_struct_2H().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.position is None:\n self.position = pcl_segment.msg.positionRPY()\n end = 0\n _x = self\n start = end\n end += 57\n (_x.position.x, _x.position.y, _x.position.z, _x.position.roll, _x.position.pitch, _x.position.yaw, _x.position.stamp.secs, _x.position.stamp.nsecs, _x.is_Known,) = _get_struct_6d2IB().unpack(str[start:end])\n self.is_Known = bool(self.is_Known)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 142\n (_x.Timestamp_sec, _x.Timestamp_nsec, _x.Roll, _x.Pitch, _x.Yaw, _x.Wx, _x.Wy, _x.Wz, _x.AcelX, _x.AcelY, _x.AcelZ, _x.VelN, _x.VelE, _x.VelZ, _x.GPSLong, _x.GPSLat, _x.GPSAlt, _x.Temp, _x.IMUTime, _x.BITStatus,) = _get_struct_2i16dih().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 72\n (_x.lnid, _x.did, _x.blid, _x.flid, _x.bnid, _x.fnid, _x.jct, _x.blid2, _x.blid3, _x.blid4, _x.flid2, _x.flid3, _x.flid4, _x.clossid, _x.span, _x.lcnt, _x.lno,) = _struct_14id2i.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.localStamp is None:\n self.localStamp = vehicle_msgs.msg.FrameStamp()\n if self.globalStamp is None:\n self.globalStamp = vehicle_msgs.msg.FrameStamp()\n if self.camera is None:\n self.camera = vehicle_msgs.msg.Camera()\n if self.camera_obj is None:\n self.camera_obj = None\n if self.camera_lane is None:\n self.camera_lane = vehicle_msgs.msg.Camera_Lane()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 16\n (_x.messageID, _x.localStamp.header.seq, _x.localStamp.header.stamp.secs, _x.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.localStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.localStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.localStamp.time, _x.localStamp.lat, _x.localStamp.lng, _x.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.localStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.localStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.localStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.localStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 12\n (_x.globalStamp.header.seq, _x.globalStamp.header.stamp.secs, _x.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.globalStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.globalStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.globalStamp.time, _x.globalStamp.lat, _x.globalStamp.lng, _x.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.globalStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.globalStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.globalStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.globalStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 12\n (_x.camera.header.seq, _x.camera.header.stamp.secs, _x.camera.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 16\n (_x.camera.messageID, _x.camera.localStamp.header.seq, _x.camera.localStamp.header.stamp.secs, _x.camera.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera.localStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera.localStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.camera.localStamp.time, _x.camera.localStamp.lat, _x.camera.localStamp.lng, _x.camera.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.camera.localStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera.localStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera.localStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera.localStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 12\n (_x.camera.globalStamp.header.seq, _x.camera.globalStamp.header.stamp.secs, _x.camera.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera.globalStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera.globalStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.camera.globalStamp.time, _x.camera.globalStamp.lat, _x.camera.globalStamp.lng, _x.camera.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.camera.globalStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera.globalStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera.globalStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera.globalStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 12\n (_x.camera.camera_numobstacles, _x.camera.VehSpeed,) = _get_struct_id().unpack(str[start:end])\n self.camera_obj = []\n for i in range(0, 10):\n val1 = vehicle_msgs.msg.Camera_Obj()\n _v25 = val1.header\n start = end\n end += 4\n (_v25.seq,) = _get_struct_I().unpack(str[start:end])\n _v26 = _v25.stamp\n _x = _v26\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v25.frame_id = str[start:end].decode('utf-8')\n else:\n _v25.frame_id = str[start:end]\n start = end\n end += 4\n (val1.messageID,) = _get_struct_i().unpack(str[start:end])\n _v27 = val1.localStamp\n _v28 = _v27.header\n start = end\n end += 4\n (_v28.seq,) = _get_struct_I().unpack(str[start:end])\n _v29 = _v28.stamp\n _x = _v29\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v28.frame_id = str[start:end].decode('utf-8')\n else:\n _v28.frame_id = str[start:end]\n _x = _v27\n start = end\n end += 32\n (_x.time, _x.lat, _x.lng, _x.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n _v27.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n _v27.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n _v27.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n _v27.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _v30 = val1.globalStamp\n _v31 = _v30.header\n start = end\n end += 4\n (_v31.seq,) = _get_struct_I().unpack(str[start:end])\n _v32 = _v31.stamp\n _x = _v32\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v31.frame_id = str[start:end].decode('utf-8')\n else:\n _v31.frame_id = str[start:end]\n _x = _v30\n start = end\n end += 32\n (_x.time, _x.lat, _x.lng, _x.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n _v30.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n _v30.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n _v30.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n _v30.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = val1\n start = end\n end += 136\n (_x.camera_obstacle_id, _x.camera_obstacleposx, _x.camera_obstacleposy, _x.blinkerInfo, _x.cut_in_and_out, _x.obstacle_type, _x.obstacle_status, _x.obstacle_valid, _x.obstacles_brake_lights, _x.obstacle_length, _x.obstacle_width, _x.obstacles_velx, _x.obstacleAge, _x.obstacleLane, _x.CIPVFlag, _x.RadarPosX, _x.RadarVelX, _x.RadarMatchConfidence, _x.MatcheRadarID, _x.obstacleAngleRate, _x.obstacles_velY, _x.object_Accel_X, _x.obstacleReplaced, _x.obstacleAngle,) = _get_struct_i2d6i3d3i2d2ididid().unpack(str[start:end])\n self.camera_obj.append(val1)\n _x = self\n start = end\n end += 12\n (_x.camera_lane.header.seq, _x.camera_lane.header.stamp.secs, _x.camera_lane.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_lane.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera_lane.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 16\n (_x.camera_lane.messageID, _x.camera_lane.localStamp.header.seq, _x.camera_lane.localStamp.header.stamp.secs, _x.camera_lane.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_lane.localStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera_lane.localStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.camera_lane.localStamp.time, _x.camera_lane.localStamp.lat, _x.camera_lane.localStamp.lng, _x.camera_lane.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.camera_lane.localStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera_lane.localStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera_lane.localStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera_lane.localStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 12\n (_x.camera_lane.globalStamp.header.seq, _x.camera_lane.globalStamp.header.stamp.secs, _x.camera_lane.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_lane.globalStamp.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.camera_lane.globalStamp.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 32\n (_x.camera_lane.globalStamp.time, _x.camera_lane.globalStamp.lat, _x.camera_lane.globalStamp.lng, _x.camera_lane.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 24\n self.camera_lane.globalStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera_lane.globalStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera_lane.globalStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.camera_lane.globalStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n _x = self\n start = end\n end += 404\n (_x.camera_lane.l_numoflaneline, _x.camera_lane.l_lanelineid, _x.camera_lane.l_lanepositon, _x.camera_lane.l_lanecurvature, _x.camera_lane.l_lanecurvaturederivative, _x.camera_lane.l_lane_type, _x.camera_lane.l_heading_angle, _x.camera_lane.l_lane_mark_color, _x.camera_lane.l_laneQuality, _x.camera_lane.l_laneWidthMarking, _x.camera_lane.l_laneViewRangStart, _x.camera_lane.l_laneViewRangEnd, _x.camera_lane.l_laneCrossing, _x.camera_lane.l_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.l_lanePRED_OTHER_SIDE, _x.camera_lane.l_lanePRED_OVERRIDE, _x.camera_lane.l_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.l_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.l_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.l_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.l_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.l_lanePRED_SOURCE_STD, _x.camera_lane.l_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.l_laneTCL, _x.camera_lane.r_numoflaneline, _x.camera_lane.r_lanelineid, _x.camera_lane.r_lanepositon, _x.camera_lane.r_lanecurvature, _x.camera_lane.r_lanecurvaturederivative, _x.camera_lane.r_lane_type, _x.camera_lane.r_heading_angle, _x.camera_lane.r_lane_mark_color, _x.camera_lane.r_laneQuality, _x.camera_lane.r_laneWidthMarking, _x.camera_lane.r_laneViewRangStart, _x.camera_lane.r_laneViewRangEnd, _x.camera_lane.r_laneCrossing, _x.camera_lane.r_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.r_lanePRED_OTHER_SIDE, _x.camera_lane.r_lanePRED_OVERRIDE, _x.camera_lane.r_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.r_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.r_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.r_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.r_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.r_lanePRED_SOURCE_STD, _x.camera_lane.r_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.r_laneTCL, _x.camera_lane.next_l_laneViewRangStart, _x.camera_lane.next_l_laneViewRangEnd, _x.camera_lane.next_l_numoflaneline, _x.camera_lane.next_l_lanelineid, _x.camera_lane.next_l_lanepositon, _x.camera_lane.next_l_lanecurvature, _x.camera_lane.next_l_lanecurvaturederivative, _x.camera_lane.next_l_lane_type, _x.camera_lane.next_l_heading_angle, _x.camera_lane.next_l_lane_mark_color, _x.camera_lane.next_l_laneQuality, _x.camera_lane.next_l_laneWidthMarking, _x.camera_lane.next_r_laneViewRangStart, _x.camera_lane.next_r_laneViewRangEnd, _x.camera_lane.next_r_numoflaneline, _x.camera_lane.next_r_lanelineid, _x.camera_lane.next_r_lanepositon, _x.camera_lane.next_r_lanecurvature, _x.camera_lane.next_r_lanecurvaturederivative, _x.camera_lane.next_r_lane_type, _x.camera_lane.next_r_heading_angle, _x.camera_lane.next_r_lane_mark_color, _x.camera_lane.next_r_laneQuality, _x.camera_lane.next_r_laneWidthMarking, _x.camera_lane.highwayConstructionArea, _x.camera_lane.highwayRoadType, _x.camera_lane.highwayHighwayExitRight, _x.camera_lane.highwayHighwayExitLeft, _x.camera_lane.highwayProbabilityLeftLane, _x.camera_lane.highwayProbabilityRightLane, _x.camera_lane.highwayDriving_peed_left_lane, _x.camera_lane.highwayDriving_peed_right_lane, _x.camera_lane.highwayprotocol_version,) = _get_struct_2i3did19i3did21i3did7i3did7i4di().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 32\n (_x.distance_front, _x.angle_front, _x.distance_back, _x.angle_back, _x.turn_left,) = _struct_didid.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.turn_left_sensor = str[start:end]\n start = end\n end += 8\n (self.turn_right,) = _struct_d.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.turn_right_sensor = str[start:end]\n return self\n except struct.error as e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg._Header.Header()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 51\n (_x.temp_1_curr, _x.temp_1_min, _x.temp_1_max, _x.temp_2_curr, _x.temp_2_min, _x.temp_2_max, _x.temp_3_curr, _x.temp_3_min, _x.temp_3_max, _x.temp_4_curr, _x.temp_4_min, _x.temp_4_max, _x.temp_5_curr, _x.temp_5_min, _x.temp_5_max, _x.temp_6_curr, _x.temp_6_min, _x.temp_6_max, _x.akku_voltage_curr, _x.akku_voltage_min, _x.akku_voltage_max, _x.hals_motor_voltage_curr, _x.hals_motor_voltage_min, _x.hals_motor_voltage_max, _x.hals_logik_voltage_curr, _x.hals_logik_voltage_min, _x.hals_logik_voltage_max, _x.tablett_logik_voltage_curr, _x.tablett_logik_voltage_min, _x.tablett_logik_voltage_max, _x.arm_logik_voltage_curr, _x.arm_logik_voltage_min, _x.arm_logik_voltage_max, _x.tablett_motor_voltage_curr, _x.tablett_motor_voltage_min, _x.tablett_motor_voltage_max, _x.hals_motor_current_curr, _x.hals_motor_current_min, _x.hals_motor_current_max, _x.hals_logik_current_curr, _x.hals_logik_current_min, _x.hals_logik_current_max, _x.tablett_logik_current_curr, _x.tablett_logik_current_min, _x.tablett_logik_current_max, _x.arm_logik_current_curr, _x.arm_logik_current_min, _x.arm_logik_current_max, _x.tablett_motor_current_curr, _x.tablett_motor_current_min, _x.tablett_motor_current_max,) = _struct_51B.unpack(str[start:end])\n return self\n except struct.error, e:\n raise roslib.message.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n if python3:\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.graspable_objects is None:\n self.graspable_objects = None\n if self.image is None:\n self.image = sensor_msgs.msg.Image()\n if self.camera_info is None:\n self.camera_info = sensor_msgs.msg.CameraInfo()\n if self.meshes is None:\n self.meshes = None\n if self.reference_to_camera is None:\n self.reference_to_camera = geometry_msgs.msg.Pose()\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.graspable_objects = []\n for i in range(0, length):\n val1 = manipulation_msgs.msg.GraspableObject()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.reference_frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1.reference_frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.potential_models = []\n for i in range(0, length):\n val2 = household_objects_database_msgs.msg.DatabaseModelPose()\n start = end\n end += 4\n (val2.model_id,) = _get_struct_i().unpack(str[start:end])\n _v94 = val2.type\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v94.key = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v94.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v94.db = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v94.db = str[start:end]\n _v95 = val2.pose\n _v96 = _v95.header\n start = end\n end += 4\n (_v96.seq,) = _get_struct_I().unpack(str[start:end])\n _v97 = _v96.stamp\n _x = _v97\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v96.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v96.frame_id = str[start:end]\n _v98 = _v95.pose\n _v99 = _v98.position\n _x = _v99\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v100 = _v98.orientation\n _x = _v100\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (val2.confidence,) = _get_struct_f().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.detector_name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val2.detector_name = str[start:end]\n val1.potential_models.append(val2)\n _v101 = val1.cluster\n _v102 = _v101.header\n start = end\n end += 4\n (_v102.seq,) = _get_struct_I().unpack(str[start:end])\n _v103 = _v102.stamp\n _x = _v103\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v102.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v102.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v101.points = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Point32()\n _x = val3\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _get_struct_3f().unpack(str[start:end])\n _v101.points.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v101.channels = []\n for i in range(0, length):\n val3 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val3.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n val3.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n _v101.channels.append(val3)\n _v104 = val1.region\n _v105 = _v104.cloud\n _v106 = _v105.header\n start = end\n end += 4\n (_v106.seq,) = _get_struct_I().unpack(str[start:end])\n _v107 = _v106.stamp\n _x = _v107\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v106.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v106.frame_id = str[start:end]\n _x = _v105\n start = end\n end += 8\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v105.fields = []\n for i in range(0, length):\n val4 = sensor_msgs.msg.PointField()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val4.name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val4.name = str[start:end]\n _x = val4\n start = end\n end += 9\n (_x.offset, _x.datatype, _x.count,) = _get_struct_IBI().unpack(str[start:end])\n _v105.fields.append(val4)\n _x = _v105\n start = end\n end += 9\n (_x.is_bigendian, _x.point_step, _x.row_step,) = _get_struct_B2I().unpack(str[start:end])\n _v105.is_bigendian = bool(_v105.is_bigendian)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v105.data = str[start:end]\n start = end\n end += 1\n (_v105.is_dense,) = _get_struct_B().unpack(str[start:end])\n _v105.is_dense = bool(_v105.is_dense)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n _v104.mask = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n _v108 = _v104.image\n _v109 = _v108.header\n start = end\n end += 4\n (_v109.seq,) = _get_struct_I().unpack(str[start:end])\n _v110 = _v109.stamp\n _x = _v110\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v109.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v109.frame_id = str[start:end]\n _x = _v108\n start = end\n end += 8\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v108.encoding = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v108.encoding = str[start:end]\n _x = _v108\n start = end\n end += 5\n (_x.is_bigendian, _x.step,) = _get_struct_BI().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v108.data = str[start:end]\n _v111 = _v104.disparity_image\n _v112 = _v111.header\n start = end\n end += 4\n (_v112.seq,) = _get_struct_I().unpack(str[start:end])\n _v113 = _v112.stamp\n _x = _v113\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v112.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v112.frame_id = str[start:end]\n _x = _v111\n start = end\n end += 8\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v111.encoding = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v111.encoding = str[start:end]\n _x = _v111\n start = end\n end += 5\n (_x.is_bigendian, _x.step,) = _get_struct_BI().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v111.data = str[start:end]\n _v114 = _v104.cam_info\n _v115 = _v114.header\n start = end\n end += 4\n (_v115.seq,) = _get_struct_I().unpack(str[start:end])\n _v116 = _v115.stamp\n _x = _v116\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v115.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v115.frame_id = str[start:end]\n _x = _v114\n start = end\n end += 8\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v114.distortion_model = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v114.distortion_model = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n _v114.D = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 72\n _v114.K = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\n start = end\n end += 72\n _v114.R = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\n start = end\n end += 96\n _v114.P = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=12)\n _x = _v114\n start = end\n end += 8\n (_x.binning_x, _x.binning_y,) = _get_struct_2I().unpack(str[start:end])\n _v117 = _v114.roi\n _x = _v117\n start = end\n end += 17\n (_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify,) = _get_struct_4IB().unpack(str[start:end])\n _v117.do_rectify = bool(_v117.do_rectify)\n _v118 = _v104.roi_box_pose\n _v119 = _v118.header\n start = end\n end += 4\n (_v119.seq,) = _get_struct_I().unpack(str[start:end])\n _v120 = _v119.stamp\n _x = _v120\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v119.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n _v119.frame_id = str[start:end]\n _v121 = _v118.pose\n _v122 = _v121.position\n _x = _v122\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v123 = _v121.orientation\n _x = _v123\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v124 = _v104.roi_box_dims\n _x = _v124\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.collision_name = str[start:end].decode('utf-8', 'rosmsg')\n else:\n val1.collision_name = str[start:end]\n self.graspable_objects.append(val1)\n _x = self\n start = end\n end += 12\n (_x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.image.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.image.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.image.height, _x.image.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.image.encoding = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.image.encoding = str[start:end]\n _x = self\n start = end\n end += 5\n (_x.image.is_bigendian, _x.image.step,) = _get_struct_BI().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.image.data = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.camera_info.header.seq, _x.camera_info.header.stamp.secs, _x.camera_info.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_info.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.camera_info.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.camera_info.height, _x.camera_info.width,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.camera_info.distortion_model = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.camera_info.distortion_model = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n s = struct.Struct(pattern)\n end += s.size\n self.camera_info.D = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 72\n self.camera_info.K = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\n start = end\n end += 72\n self.camera_info.R = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\n start = end\n end += 96\n self.camera_info.P = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=12)\n _x = self\n start = end\n end += 25\n (_x.camera_info.binning_x, _x.camera_info.binning_y, _x.camera_info.roi.x_offset, _x.camera_info.roi.y_offset, _x.camera_info.roi.height, _x.camera_info.roi.width, _x.camera_info.roi.do_rectify,) = _get_struct_6IB().unpack(str[start:end])\n self.camera_info.roi.do_rectify = bool(self.camera_info.roi.do_rectify)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.meshes = []\n for i in range(0, length):\n val1 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.triangles = []\n for i in range(0, length):\n val2 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val2.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val1.triangles.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.vertices = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Point()\n _x = val2\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val1.vertices.append(val2)\n self.meshes.append(val1)\n _x = self\n start = end\n end += 56\n (_x.reference_to_camera.position.x, _x.reference_to_camera.position.y, _x.reference_to_camera.position.z, _x.reference_to_camera.orientation.x, _x.reference_to_camera.orientation.y, _x.reference_to_camera.orientation.z, _x.reference_to_camera.orientation.w,) = _get_struct_7d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.Class = str[start:end].decode('utf-8')\n else:\n self.Class = str[start:end]\n _x = self\n start = end\n end += 40\n (_x.probability, _x.xmin, _x.ymin, _x.xmax, _x.ymax,) = _get_struct_d4q().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.p1 is None:\n self.p1 = geometry_msgs.msg.PointStamped()\n if self.p2 is None:\n self.p2 = geometry_msgs.msg.PointStamped()\n if self.p3 is None:\n self.p3 = geometry_msgs.msg.PointStamped()\n if self.p4 is None:\n self.p4 = geometry_msgs.msg.PointStamped()\n end = 0\n _x = self\n start = end\n end += 16\n (_x.s1, _x.s2, _x.s3, _x.s4, _x.p1.header.seq, _x.p1.header.stamp.secs, _x.p1.header.stamp.nsecs,) = _struct_4B3I.unpack(str[start:end])\n self.s1 = bool(self.s1)\n self.s2 = bool(self.s2)\n self.s3 = bool(self.s3)\n self.s4 = bool(self.s4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.p1.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.p1.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 36\n (_x.p1.point.x, _x.p1.point.y, _x.p1.point.z, _x.p2.header.seq, _x.p2.header.stamp.secs, _x.p2.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.p2.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.p2.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 36\n (_x.p2.point.x, _x.p2.point.y, _x.p2.point.z, _x.p3.header.seq, _x.p3.header.stamp.secs, _x.p3.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.p3.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.p3.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 36\n (_x.p3.point.x, _x.p3.point.y, _x.p3.point.z, _x.p4.header.seq, _x.p4.header.stamp.secs, _x.p4.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.p4.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.p4.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 24\n (_x.p4.point.x, _x.p4.point.y, _x.p4.point.z,) = _struct_3d.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 69\n (_x.Timestamp_sec, _x.Timestamp_nsec, _x.IdModulo, _x.InputVolA, _x.InputVolB, _x.InputCorrA, _x.InputCorrB, _x.OutputAnlg1, _x.OutputAnlg2, _x.InputDig1, _x.InputDig2, _x.InputDig3, _x.InputDig4, _x.OutputDig1, _x.OutputDig2, _x.OutputDig3, _x.OutputDig4, _x.OutputDig5, _x.OutputDig6, _x.OutputDig7, _x.OutputDig8,) = _get_struct_2ib6d12B().unpack(str[start:end])\n self.InputDig1 = bool(self.InputDig1)\n self.InputDig2 = bool(self.InputDig2)\n self.InputDig3 = bool(self.InputDig3)\n self.InputDig4 = bool(self.InputDig4)\n self.OutputDig1 = bool(self.OutputDig1)\n self.OutputDig2 = bool(self.OutputDig2)\n self.OutputDig3 = bool(self.OutputDig3)\n self.OutputDig4 = bool(self.OutputDig4)\n self.OutputDig5 = bool(self.OutputDig5)\n self.OutputDig6 = bool(self.OutputDig6)\n self.OutputDig7 = bool(self.OutputDig7)\n self.OutputDig8 = bool(self.OutputDig8)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 40\n (_x.h_min, _x.h_max, _x.s_min, _x.s_max, _x.v_min, _x.v_max,) = _get_struct_2I4d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.pan is None:\n self.pan = movo_msgs.msg.PanTiltActuatorFdbk()\n if self.tilt is None:\n self.tilt = movo_msgs.msg.PanTiltActuatorFdbk()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.pan.header.seq, _x.pan.header.stamp.secs, _x.pan.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.pan.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.pan.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 64\n (_x.pan.current, _x.pan.pos_rad, _x.pan.vel_rps, _x.pan.torque_nm, _x.pan.pwm, _x.pan.encoder_rad, _x.pan.accel.x, _x.pan.accel.y, _x.pan.accel.z, _x.pan.temperature_degC, _x.tilt.header.seq, _x.tilt.header.stamp.secs, _x.tilt.header.stamp.nsecs,) = _struct_6f3df3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.tilt.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.tilt.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 52\n (_x.tilt.current, _x.tilt.pos_rad, _x.tilt.vel_rps, _x.tilt.torque_nm, _x.tilt.pwm, _x.tilt.encoder_rad, _x.tilt.accel.x, _x.tilt.accel.y, _x.tilt.accel.z, _x.tilt.temperature_degC,) = _struct_6f3df.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.object1 = str[start:end].decode('utf-8')\n else:\n self.object1 = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.object2 = str[start:end].decode('utf-8')\n else:\n self.object2 = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.penetration_distance, _x.operation,) = _struct_di.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (self.numberOfTSPTurtles,) = _get_struct_i().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.des_gripper_pose is None:\n self.des_gripper_pose = geometry_msgs.msg.PoseStamped()\n if self.object_pose is None:\n self.object_pose = geometry_msgs.msg.PoseStamped()\n end = 0\n _x = self\n start = end\n end += 20\n (_x.manip_return_code, _x.object_grabber_return_code, _x.des_gripper_pose.header.seq, _x.des_gripper_pose.header.stamp.secs, _x.des_gripper_pose.header.stamp.nsecs,) = _get_struct_2i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.des_gripper_pose.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.des_gripper_pose.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 72\n (_x.des_gripper_pose.pose.position.x, _x.des_gripper_pose.pose.position.y, _x.des_gripper_pose.pose.position.z, _x.des_gripper_pose.pose.orientation.x, _x.des_gripper_pose.pose.orientation.y, _x.des_gripper_pose.pose.orientation.z, _x.des_gripper_pose.pose.orientation.w, _x.object_finder_return_code, _x.object_pose.header.seq, _x.object_pose.header.stamp.secs, _x.object_pose.header.stamp.nsecs,) = _get_struct_7di3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.object_pose.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.object_pose.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 56\n (_x.object_pose.pose.position.x, _x.object_pose.pose.position.y, _x.object_pose.pose.position.z, _x.object_pose.pose.orientation.x, _x.object_pose.pose.orientation.y, _x.object_pose.pose.orientation.z, _x.object_pose.pose.orientation.w,) = _get_struct_7d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.polygons is None:\n self.polygons = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.polygons = []\n for i in range(0, length):\n val1 = cob_3d_mapping_msgs.msg.CurvedPolygon()\n _v4 = val1.stamp\n _x = _v4\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (val1.ID,) = _struct_I.unpack(str[start:end])\n start = end\n end += 24\n val1.parameter = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=6)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.score = []\n for i in range(0, length):\n val2 = cob_3d_mapping_msgs.msg.SimilarityScore()\n _x = val2\n start = end\n end += 8\n (_x.ID, _x.prob,) = _struct_If.unpack(str[start:end])\n val1.score.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.polyline = []\n for i in range(0, length):\n val2 = cob_3d_mapping_msgs.msg.PolylinePoint()\n _x = val2\n start = end\n end += 12\n (_x.x, _x.y, _x.edge_prob,) = _struct_3f.unpack(str[start:end])\n val1.polyline.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.features = []\n for i in range(0, length):\n val2 = cob_3d_mapping_msgs.msg.Feature()\n _x = val2\n start = end\n end += 16\n (_x.x, _x.y, _x.z, _x.ID,) = _struct_3fI.unpack(str[start:end])\n val1.features.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.energy = str[start:end].decode('utf-8')\n else:\n val1.energy = str[start:end]\n start = end\n end += 4\n (val1.weight,) = _struct_f.unpack(str[start:end])\n self.polygons.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.goal_id is None:\n self.goal_id = actionlib_msgs.msg.GoalID()\n if self.goal is None:\n self.goal = coordinator.msg.ManipTaskGoal()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal_id.id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.goal_id.id = str[start:end]\n _x = self\n start = end\n end += 20\n (_x.goal.action_code, _x.goal.object_code, _x.goal.pickup_frame.header.seq, _x.goal.pickup_frame.header.stamp.secs, _x.goal.pickup_frame.header.stamp.nsecs,) = _get_struct_2i3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.pickup_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.goal.pickup_frame.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.goal.pickup_frame.pose.position.x, _x.goal.pickup_frame.pose.position.y, _x.goal.pickup_frame.pose.position.z, _x.goal.pickup_frame.pose.orientation.x, _x.goal.pickup_frame.pose.orientation.y, _x.goal.pickup_frame.pose.orientation.z, _x.goal.pickup_frame.pose.orientation.w, _x.goal.dropoff_frame.header.seq, _x.goal.dropoff_frame.header.stamp.secs, _x.goal.dropoff_frame.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.dropoff_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.goal.dropoff_frame.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.goal.dropoff_frame.pose.position.x, _x.goal.dropoff_frame.pose.position.y, _x.goal.dropoff_frame.pose.position.z, _x.goal.dropoff_frame.pose.orientation.x, _x.goal.dropoff_frame.pose.orientation.y, _x.goal.dropoff_frame.pose.orientation.z, _x.goal.dropoff_frame.pose.orientation.w, _x.goal.gripper_goal_frame.header.seq, _x.goal.gripper_goal_frame.header.stamp.secs, _x.goal.gripper_goal_frame.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.gripper_goal_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\n else:\n self.goal.gripper_goal_frame.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 60\n (_x.goal.gripper_goal_frame.pose.position.x, _x.goal.gripper_goal_frame.pose.position.y, _x.goal.gripper_goal_frame.pose.position.z, _x.goal.gripper_goal_frame.pose.orientation.x, _x.goal.gripper_goal_frame.pose.orientation.y, _x.goal.gripper_goal_frame.pose.orientation.z, _x.goal.gripper_goal_frame.pose.orientation.w, _x.goal.perception_source,) = _get_struct_7di().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.name = str[start:end].decode('utf-8')\n else:\n self.name = str[start:end]\n _x = self\n start = end\n end += 97\n (_x.visible, _x.x, _x.y, _x.z, _x.u, _x.v, _x.w, _x.phi, _x.theta, _x.psi, _x.p, _x.q, _x.r,) = _struct_B12d.unpack(str[start:end])\n self.visible = bool(self.visible)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.robot_id is None:\n self.robot_id = opil_v2.msg.Id()\n if self.agv_msg is None:\n self.agv_msg = opil_v2.msg.RobotDescriptionAGV()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.robot_id.id,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.robot_id.description = str[start:end].decode('utf-8')\n else:\n self.robot_id.description = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.agv_msg.header.seq, _x.agv_msg.header.stamp.secs, _x.agv_msg.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.agv_msg.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.agv_msg.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.agv_msg.vehicle_id.id,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.agv_msg.vehicle_id.description = str[start:end].decode('utf-8')\n else:\n self.agv_msg.vehicle_id.description = str[start:end]\n _x = self\n start = end\n end += 84\n (_x.agv_msg.left_size, _x.agv_msg.right_size, _x.agv_msg.front_size, _x.agv_msg.rear_size, _x.agv_msg.min_height, _x.agv_msg.max_height, _x.agv_msg.payload, _x.agv_msg.max_pos_x_vel, _x.agv_msg.max_neg_x_vel, _x.agv_msg.max_pos_x_acc, _x.agv_msg.max_neg_x_acc, _x.agv_msg.max_pos_y_vel, _x.agv_msg.max_neg_y_vel, _x.agv_msg.max_pos_y_acc, _x.agv_msg.max_neg_y_acc, _x.agv_msg.max_pos_ang_vel, _x.agv_msg.max_neg_ang_vel, _x.agv_msg.velocity_control_sensitivity, _x.agv_msg.min_turning_radius, _x.agv_msg.batt_capacity, _x.agv_msg.batt_max_voltage,) = _get_struct_21f().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.agv_msg.vehicle_type = str[start:end].decode('utf-8')\n else:\n self.agv_msg.vehicle_type = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.agv_msg.vendor = str[start:end].decode('utf-8')\n else:\n self.agv_msg.vendor = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.agv_msg.action_capability = []\n for i in range(0, length):\n val1 = opil_v2.msg.RobotAction()\n _x = val1\n start = end\n end += 2\n (_x.category, _x.action,) = _get_struct_2B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.attributes = []\n for i in range(0, length):\n val2 = opil_v2.msg.Tuple()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.type = str[start:end].decode('utf-8')\n else:\n val2.type = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.value = str[start:end].decode('utf-8')\n else:\n val2.value = str[start:end]\n val1.attributes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.description = str[start:end].decode('utf-8')\n else:\n val1.description = str[start:end]\n self.agv_msg.action_capability.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 11\n (_x.partial_view, _x.resolution, _x.type, _x.use_simple_occlusion, _x.add_point_colors,) = _struct_B2i2B.unpack(str[start:end])\n self.partial_view = bool(self.partial_view)\n self.use_simple_occlusion = bool(self.use_simple_occlusion)\n self.add_point_colors = bool(self.add_point_colors)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 44\n (_x.date, _x.time, _x.longitude_RTK, _x.latitude_RTK, _x.height_above_sea_RTK, _x.velocity_north, _x.velocity_east, _x.velocity_ground, _x.yaw, _x.position_flag, _x.yaw_flag,) = _struct_2I2d4fh2B.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.t_start is None:\n self.t_start = genpy.Time()\n if self.duration is None:\n self.duration = genpy.Duration()\n end = 0\n _x = self\n start = end\n end += 65\n (_x.x, _x.y, _x.z, _x.yaw, _x.v_des, _x.a_des, _x.t_start.secs, _x.t_start.nsecs, _x.duration.secs, _x.duration.nsecs, _x.relative,) = _get_struct_6d2I2iB().unpack(str[start:end])\n self.relative = bool(self.relative)\n self.t_start.canon()\n self.duration.canon()\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 24\n self.thumb = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.index = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.middle = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.ring = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.little = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 64\n (_x.max_features, _x.window_size, _x.quality, _x.min_distance, _x.harris, _x.size_block, _x.pyramid_lvl, _x.mask_border,) = _get_struct_2q3d3q().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.accelerometer is None:\n self.accelerometer = None\n if self.gyro is None:\n self.gyro = None\n if self.orientation is None:\n self.orientation = None\n if self.led_color is None:\n self.led_color = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.name.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.position_command = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.velocity_command = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.effort_command = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.accelerometer = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Vector3()\n _x = val1\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.accelerometer.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.gyro = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Vector3()\n _x = val1\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.gyro.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.orientation = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Quaternion()\n _x = val1\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n self.orientation.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.deflection = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.deflection_velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_current = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_winding_current = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_sensor_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_winding_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_housing_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.board_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.processor_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.voltage = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.led_color = []\n for i in range(0, length):\n val1 = std_msgs.msg.ColorRGBA()\n _x = val1\n start = end\n end += 16\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\n self.led_color.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.sequence_number = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.receive_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.transmit_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.hardware_receive_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sQ'%length\n start = end\n end += struct.calcsize(pattern)\n self.hardware_transmit_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 8\n (self.time,) = _get_struct_d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.q_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.qd_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.qdd_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.i_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.m_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.q_actual = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.qd_actual = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.i_actual = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tool_acc_values = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tcp_force = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tool_vector = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tcp_speed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 8\n (self.digital_input_bits,) = _get_struct_d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.motor_temperatures = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 24\n (_x.controller_timer, _x.test_value, _x.robot_mode,) = _get_struct_3d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.joint_modes = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.name = str[start:end].decode('utf-8')\n else:\n self.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.red_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.red_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.yellow_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.yellow_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.green_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.green_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.purple_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.purple_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.orange_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.orange_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.sensor_FL is None:\n self.sensor_FL = sensor_msgs.msg.Range()\n if self.sensor_FR is None:\n self.sensor_FR = sensor_msgs.msg.Range()\n if self.sensor_RR is None:\n self.sensor_RR = sensor_msgs.msg.Range()\n if self.sensor_RL is None:\n self.sensor_RL = sensor_msgs.msg.Range()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.sensor_FL.header.seq, _x.sensor_FL.header.stamp.secs, _x.sensor_FL.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.sensor_FL.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.sensor_FL.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 29\n (_x.sensor_FL.radiation_type, _x.sensor_FL.field_of_view, _x.sensor_FL.min_range, _x.sensor_FL.max_range, _x.sensor_FL.range, _x.sensor_FR.header.seq, _x.sensor_FR.header.stamp.secs, _x.sensor_FR.header.stamp.nsecs,) = _get_struct_B4f3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.sensor_FR.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.sensor_FR.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 29\n (_x.sensor_FR.radiation_type, _x.sensor_FR.field_of_view, _x.sensor_FR.min_range, _x.sensor_FR.max_range, _x.sensor_FR.range, _x.sensor_RR.header.seq, _x.sensor_RR.header.stamp.secs, _x.sensor_RR.header.stamp.nsecs,) = _get_struct_B4f3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.sensor_RR.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.sensor_RR.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 29\n (_x.sensor_RR.radiation_type, _x.sensor_RR.field_of_view, _x.sensor_RR.min_range, _x.sensor_RR.max_range, _x.sensor_RR.range, _x.sensor_RL.header.seq, _x.sensor_RL.header.stamp.secs, _x.sensor_RL.header.stamp.nsecs,) = _get_struct_B4f3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.sensor_RL.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.sensor_RL.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 17\n (_x.sensor_RL.radiation_type, _x.sensor_RL.field_of_view, _x.sensor_RL.min_range, _x.sensor_RL.max_range, _x.sensor_RL.range,) = _get_struct_B4f().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.line is None:\n self.line = None\n if self.circle is None:\n self.circle = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.id = str[start:end].decode('utf-8')\n else:\n self.id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.line = []\n for i in range(0, length):\n val1 = krssg_ssl_msgs.msg.sslDebug_Line()\n _x = val1\n start = end\n end += 20\n (_x.x1, _x.y1, _x.x2, _x.y2, _x.color,) = _get_struct_4if().unpack(str[start:end])\n self.line.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.circle = []\n for i in range(0, length):\n val1 = krssg_ssl_msgs.msg.sslDebug_Circle()\n _x = val1\n start = end\n end += 16\n (_x.x, _x.y, _x.radius, _x.color,) = _get_struct_3if().unpack(str[start:end])\n self.circle.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (self.yaw,) = _struct_f.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.objects is None:\n self.objects = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.objects = []\n for i in range(0, length):\n val1 = vision_msgs.msg.ClassifiedObject()\n _v10 = val1.header\n start = end\n end += 4\n (_v10.seq,) = _struct_I.unpack(str[start:end])\n _v11 = _v10.stamp\n _x = _v11\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v10.frame_id = str[start:end].decode('utf-8')\n else:\n _v10.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.object_class = str[start:end].decode('utf-8')\n else:\n val1.object_class = str[start:end]\n start = end\n end += 4\n (val1.confidence,) = _struct_f.unpack(str[start:end])\n _v12 = val1.roi\n _x = _v12\n start = end\n end += 17\n (_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify,) = _struct_4IB.unpack(str[start:end])\n _v12.do_rectify = bool(_v12.do_rectify)\n self.objects.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 24\n (_x.major_ax, _x.minor_ax, _x.coup_strength, _x.limit_cycle, _x.forward_velocity, _x.curvature,) = _struct_6f.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.x_offset = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.y_offset = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.coupling_1 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.coupling_2 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.coupling_3 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.coupling_4 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.coupling_5 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n self.coupling_6 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.obstacleinfo is None:\n self.obstacleinfo = nubot_common.msg.ObstaclesInfo()\n if self.oppinfo is None:\n self.oppinfo = nubot_common.msg.ObstaclesInfo()\n if self.robotinfo is None:\n self.robotinfo = None\n if self.ballinfo is None:\n self.ballinfo = None\n if self.coachinfo is None:\n self.coachinfo = nubot_common.msg.CoachInfo()\n if self.pass_cmd is None:\n self.pass_cmd = nubot_common.msg.PassCommands()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.obstacleinfo.header.seq, _x.obstacleinfo.header.stamp.secs, _x.obstacleinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.obstacleinfo.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.obstacleinfo.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.obstacleinfo.pos = []\n for i in range(0, length):\n val1 = nubot_common.msg.Point2d()\n _x = val1\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n self.obstacleinfo.pos.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.obstacleinfo.polar_pos = []\n for i in range(0, length):\n val1 = nubot_common.msg.PPoint()\n _x = val1\n start = end\n end += 8\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\n self.obstacleinfo.polar_pos.append(val1)\n _x = self\n start = end\n end += 12\n (_x.oppinfo.header.seq, _x.oppinfo.header.stamp.secs, _x.oppinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.oppinfo.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.oppinfo.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.oppinfo.pos = []\n for i in range(0, length):\n val1 = nubot_common.msg.Point2d()\n _x = val1\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n self.oppinfo.pos.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.oppinfo.polar_pos = []\n for i in range(0, length):\n val1 = nubot_common.msg.PPoint()\n _x = val1\n start = end\n end += 8\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\n self.oppinfo.polar_pos.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.robotinfo = []\n for i in range(0, length):\n val1 = nubot_common.msg.RobotInfo()\n _v34 = val1.header\n start = end\n end += 4\n (_v34.seq,) = _get_struct_I().unpack(str[start:end])\n _v35 = _v34.stamp\n _x = _v35\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v34.frame_id = str[start:end].decode('utf-8')\n else:\n _v34.frame_id = str[start:end]\n _x = val1\n start = end\n end += 28\n (_x.AgentID, _x.targetNum1, _x.targetNum2, _x.targetNum3, _x.targetNum4, _x.staticpassNum, _x.staticcatchNum,) = _get_struct_7i().unpack(str[start:end])\n _v36 = val1.pos\n _x = _v36\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n _v37 = val1.heading\n start = end\n end += 4\n (_v37.theta,) = _get_struct_f().unpack(str[start:end])\n start = end\n end += 4\n (val1.vrot,) = _get_struct_f().unpack(str[start:end])\n _v38 = val1.vtrans\n _x = _v38\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n _x = val1\n start = end\n end += 9\n (_x.iskick, _x.isvalid, _x.isstuck, _x.isdribble, _x.current_role, _x.role_time,) = _get_struct_5Bf().unpack(str[start:end])\n val1.iskick = bool(val1.iskick)\n val1.isvalid = bool(val1.isvalid)\n val1.isstuck = bool(val1.isstuck)\n val1.isdribble = bool(val1.isdribble)\n _v39 = val1.target\n _x = _v39\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n self.robotinfo.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.ballinfo = []\n for i in range(0, length):\n val1 = nubot_common.msg.BallInfo()\n _v40 = val1.header\n start = end\n end += 4\n (_v40.seq,) = _get_struct_I().unpack(str[start:end])\n _v41 = _v40.stamp\n _x = _v41\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v40.frame_id = str[start:end].decode('utf-8')\n else:\n _v40.frame_id = str[start:end]\n start = end\n end += 4\n (val1.ballinfostate,) = _get_struct_i().unpack(str[start:end])\n _v42 = val1.pos\n _x = _v42\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n _v43 = val1.real_pos\n _x = _v43\n start = end\n end += 8\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\n _v44 = val1.velocity\n _x = _v44\n start = end\n end += 8\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\n _x = val1\n start = end\n end += 2\n (_x.pos_known, _x.velocity_known,) = _get_struct_2B().unpack(str[start:end])\n val1.pos_known = bool(val1.pos_known)\n val1.velocity_known = bool(val1.velocity_known)\n self.ballinfo.append(val1)\n _x = self\n start = end\n end += 12\n (_x.coachinfo.header.seq, _x.coachinfo.header.stamp.secs, _x.coachinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.coachinfo.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.coachinfo.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 54\n (_x.coachinfo.MatchMode, _x.coachinfo.MatchType, _x.coachinfo.TestMode, _x.coachinfo.pointA.x, _x.coachinfo.pointA.y, _x.coachinfo.pointB.x, _x.coachinfo.pointB.y, _x.coachinfo.angleA, _x.coachinfo.angleB, _x.coachinfo.idA, _x.coachinfo.idB, _x.coachinfo.kickforce, _x.pass_cmd.pass_id, _x.pass_cmd.catch_id, _x.pass_cmd.pass_pt.x, _x.pass_cmd.pass_pt.y, _x.pass_cmd.catch_pt.x, _x.pass_cmd.catch_pt.y, _x.pass_cmd.is_passout, _x.pass_cmd.is_dynamic_pass, _x.pass_cmd.is_static_pass, _x.pass_cmd.is_valid,) = _get_struct_3B4f2h3B2I4f4B().unpack(str[start:end])\n self.pass_cmd.is_passout = bool(self.pass_cmd.is_passout)\n self.pass_cmd.is_dynamic_pass = bool(self.pass_cmd.is_dynamic_pass)\n self.pass_cmd.is_static_pass = bool(self.pass_cmd.is_static_pass)\n self.pass_cmd.is_valid = bool(self.pass_cmd.is_valid)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 2580\n self.Rscanpose = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=645)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.home is None:\n self.home = flyaq.msg.Coordinate()\n if self.movements is None:\n self.movements = None\n if self.move_transitions is None:\n self.move_transitions = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.name = str[start:end].decode('utf-8')\n else:\n self.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.type_name = str[start:end].decode('utf-8')\n else:\n self.type_name = str[start:end]\n _x = self\n start = end\n end += 16\n (_x.home.latitude, _x.home.longitude, _x.home.altitude, _x.home.heading,) = _struct_4f.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.movements = []\n for i in range(0, length):\n val1 = flyaq.msg.Move()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 1\n (val1.type,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.pre_actions = []\n for i in range(0, length):\n val2 = flyaq.msg.Action()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 1\n (val2.type,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.action_name = str[start:end].decode('utf-8')\n else:\n val2.action_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.parameters = []\n for i in range(0, length):\n val3 = flyaq.msg.Parameter()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.parameters.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.slot_name = str[start:end].decode('utf-8')\n else:\n val2.slot_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.receivers_name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.receivers_name.append(val3)\n val1.pre_actions.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.post_actions = []\n for i in range(0, length):\n val2 = flyaq.msg.Action()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 1\n (val2.type,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.action_name = str[start:end].decode('utf-8')\n else:\n val2.action_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.parameters = []\n for i in range(0, length):\n val3 = flyaq.msg.Parameter()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.parameters.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.slot_name = str[start:end].decode('utf-8')\n else:\n val2.slot_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.receivers_name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.receivers_name.append(val3)\n val1.post_actions.append(val2)\n start = end\n end += 4\n (val1.altitude,) = _struct_f.unpack(str[start:end])\n _v7 = val1.target_position\n _x = _v7\n start = end\n end += 16\n (_x.latitude, _x.longitude, _x.altitude, _x.heading,) = _struct_4f.unpack(str[start:end])\n start = end\n end += 1\n (val1.strategy,) = _struct_b.unpack(str[start:end])\n _v8 = val1.duration\n _x = _v8\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2i.unpack(str[start:end])\n _x = val1\n start = end\n end += 13\n (_x.radius, _x.circle_altitude, _x.clockwise, _x.direction,) = _struct_2fBf.unpack(str[start:end])\n val1.clockwise = bool(val1.clockwise)\n self.movements.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.move_transitions = []\n for i in range(0, length):\n val1 = flyaq.msg.MoveTransition()\n start = end\n end += 1\n (val1.is_choice,) = _struct_B.unpack(str[start:end])\n val1.is_choice = bool(val1.is_choice)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.wait_for_slot_name = str[start:end].decode('utf-8')\n else:\n val1.wait_for_slot_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.from_move_name = str[start:end].decode('utf-8')\n else:\n val1.from_move_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.to_move_name = str[start:end].decode('utf-8')\n else:\n val1.to_move_name = str[start:end]\n start = end\n end += 1\n (val1.fluid,) = _struct_B.unpack(str[start:end])\n val1.fluid = bool(val1.fluid)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.condition_identifier = str[start:end].decode('utf-8')\n else:\n val1.condition_identifier = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.false_branch_move_name = str[start:end].decode('utf-8')\n else:\n val1.false_branch_move_name = str[start:end]\n self.move_transitions.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.slot_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.slot_names.append(val1)\n start = end\n end += 1\n (self.travel_mode,) = _struct_b.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 41\n (_x.enable_steering, _x.enable_braking, _x.enable_driving, _x.enable_Estop, _x.enable_gear, _x.sw_deg, _x.sw_rad, _x.speed_ms, _x.speed_kms, _x.ax_ms2, _x.omega_rad, _x.gear_mode, _x.steering, _x.speed,) = _get_struct_5B6fi2f().unpack(str[start:end])\n self.enable_steering = bool(self.enable_steering)\n self.enable_braking = bool(self.enable_braking)\n self.enable_driving = bool(self.enable_driving)\n self.enable_Estop = bool(self.enable_Estop)\n self.enable_gear = bool(self.enable_gear)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.sensor_pose_on_robot is None:\n self.sensor_pose_on_robot = geometry_msgs.msg.Pose()\n if self.sensed_data is None:\n self.sensed_data = None\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 96\n (_x.sensor_pose_on_robot.position.x, _x.sensor_pose_on_robot.position.y, _x.sensor_pose_on_robot.position.z, _x.sensor_pose_on_robot.orientation.x, _x.sensor_pose_on_robot.orientation.y, _x.sensor_pose_on_robot.orientation.z, _x.sensor_pose_on_robot.orientation.w, _x.min_sensor_distance, _x.max_sensor_distance, _x.sensor_std_range, _x.sensor_std_yaw, _x.sensor_std_pitch,) = _get_struct_12d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.sensed_data = []\n for i in range(0, length):\n val1 = mrpt_msgs.msg.SingleRangeBearingObservation()\n _x = val1\n start = end\n end += 28\n (_x.range, _x.yaw, _x.pitch, _x.id,) = _get_struct_3di().unpack(str[start:end])\n self.sensed_data.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.Front_sens is None:\n self.Front_sens = motor_sc.msg.sens9ax()\n if self.Rear_sens is None:\n self.Rear_sens = motor_sc.msg.sens9ax()\n end = 0\n _x = self\n start = end\n end += 9\n (_x.Front_sens.ID, _x.Front_sens.timestamp,) = _get_struct_BQ().unpack(str[start:end])\n start = end\n end += 24\n self.Front_sens.compass = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.Front_sens.gyro = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.Front_sens.accel = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.Front_sens.fusionPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 32\n self.Front_sens.fusionQPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\n _x = self\n start = end\n end += 9\n (_x.Rear_sens.ID, _x.Rear_sens.timestamp,) = _get_struct_BQ().unpack(str[start:end])\n start = end\n end += 24\n self.Rear_sens.compass = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.Rear_sens.gyro = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.Rear_sens.accel = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 24\n self.Rear_sens.fusionPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\n start = end\n end += 32\n self.Rear_sens.fusionQPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.cnt is None:\n self.cnt = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.cnt = []\n for i in range(0, length):\n val1 = dgvmsg.msg.Encounter()\n _v10 = val1.header\n start = end\n end += 4\n (_v10.seq,) = _get_struct_I().unpack(str[start:end])\n _v11 = _v10.stamp\n _x = _v11\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v10.frame_id = str[start:end].decode('utf-8')\n else:\n _v10.frame_id = str[start:end]\n start = end\n end += 4\n (val1.devadd,) = _get_struct_i().unpack(str[start:end])\n _v12 = val1.now\n _x = _v12\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (val1.encounter,) = _get_struct_I().unpack(str[start:end])\n self.cnt.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.group = str[start:end].decode('utf-8')\n else:\n self.group = str[start:end]\n _x = self\n start = end\n end += 2\n (_x.rand_start, _x.current_start,) = _get_struct_2B().unpack(str[start:end])\n self.rand_start = bool(self.rand_start)\n self.current_start = bool(self.current_start)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.start_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n start = end\n end += 1\n (self.rand_target,) = _get_struct_B().unpack(str[start:end])\n self.rand_target = bool(self.rand_target)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.target_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n _x = self\n start = end\n end += 4\n (_x.execute, _x.wait, _x.ret_plan, _x.ret_fps,) = _get_struct_3Bb().unpack(str[start:end])\n self.execute = bool(self.execute)\n self.wait = bool(self.wait)\n self.ret_plan = bool(self.ret_plan)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.goal_id is None:\n self.goal_id = actionlib_msgs.msg.GoalID()\n if self.goal is None:\n self.goal = moveit_msgs.msg.MoveGroupGoal()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 8\n (_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal_id.id = str[start:end].decode('utf-8')\n else:\n self.goal_id.id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.goal.request.workspace_parameters.header.seq, _x.goal.request.workspace_parameters.header.stamp.secs, _x.goal.request.workspace_parameters.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.workspace_parameters.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.request.workspace_parameters.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 60\n (_x.goal.request.workspace_parameters.min_corner.x, _x.goal.request.workspace_parameters.min_corner.y, _x.goal.request.workspace_parameters.min_corner.z, _x.goal.request.workspace_parameters.max_corner.x, _x.goal.request.workspace_parameters.max_corner.y, _x.goal.request.workspace_parameters.max_corner.z, _x.goal.request.start_state.joint_state.header.seq, _x.goal.request.start_state.joint_state.header.stamp.secs, _x.goal.request.start_state.joint_state.header.stamp.nsecs,) = _get_struct_6d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.start_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.request.start_state.joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.joint_state.name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.request.start_state.joint_state.name.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.request.start_state.joint_state.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.request.start_state.joint_state.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.request.start_state.joint_state.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 12\n (_x.goal.request.start_state.multi_dof_joint_state.header.seq, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.secs, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.start_state.multi_dof_joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.request.start_state.multi_dof_joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.request.start_state.multi_dof_joint_state.joint_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.transforms = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Transform()\n _v445 = val1.translation\n _x = _v445\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v446 = val1.rotation\n _x = _v446\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.transforms.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.twist = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Twist()\n _v447 = val1.linear\n _x = _v447\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v448 = val1.angular\n _x = _v448\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.twist.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.wrench = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Wrench()\n _v449 = val1.force\n _x = _v449\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v450 = val1.torque\n _x = _v450\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.goal.request.start_state.multi_dof_joint_state.wrench.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.start_state.attached_collision_objects = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.AttachedCollisionObject()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _v451 = val1.object\n _v452 = _v451.header\n start = end\n end += 4\n (_v452.seq,) = _get_struct_I().unpack(str[start:end])\n _v453 = _v452.stamp\n _x = _v453\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v452.frame_id = str[start:end].decode('utf-8')\n else:\n _v452.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v451.id = str[start:end].decode('utf-8')\n else:\n _v451.id = str[start:end]\n _v454 = _v451.type\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v454.key = str[start:end].decode('utf-8')\n else:\n _v454.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v454.db = str[start:end].decode('utf-8')\n else:\n _v454.db = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.primitives = []\n for i in range(0, length):\n val3 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val3.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v451.primitives.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.primitive_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v455 = val3.position\n _x = _v455\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v456 = val3.orientation\n _x = _v456\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v451.primitive_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.meshes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.triangles = []\n for i in range(0, length):\n val4 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val4.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val3.triangles.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.vertices = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Point()\n _x = val4\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val3.vertices.append(val4)\n _v451.meshes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.mesh_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v457 = val3.position\n _x = _v457\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v458 = val3.orientation\n _x = _v458\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v451.mesh_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.planes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Plane()\n start = end\n end += 32\n val3.coef = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\n _v451.planes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.plane_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v459 = val3.position\n _x = _v459\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v460 = val3.orientation\n _x = _v460\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v451.plane_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.subframe_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n _v451.subframe_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v451.subframe_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v461 = val3.position\n _x = _v461\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v462 = val3.orientation\n _x = _v462\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v451.subframe_poses.append(val3)\n start = end\n end += 1\n (_v451.operation,) = _get_struct_b().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.touch_links = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.touch_links.append(val2)\n _v463 = val1.detach_posture\n _v464 = _v463.header\n start = end\n end += 4\n (_v464.seq,) = _get_struct_I().unpack(str[start:end])\n _v465 = _v464.stamp\n _x = _v465\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v464.frame_id = str[start:end].decode('utf-8')\n else:\n _v464.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v463.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n _v463.joint_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v463.points = []\n for i in range(0, length):\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.positions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.velocities = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.accelerations = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v466 = val3.time_from_start\n _x = _v466\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\n _v463.points.append(val3)\n start = end\n end += 8\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\n self.goal.request.start_state.attached_collision_objects.append(val1)\n start = end\n end += 1\n (self.goal.request.start_state.is_diff,) = _get_struct_B().unpack(str[start:end])\n self.goal.request.start_state.is_diff = bool(self.goal.request.start_state.is_diff)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.goal_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.Constraints()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.joint_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.JointConstraint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.joint_name = str[start:end].decode('utf-8')\n else:\n val2.joint_name = str[start:end]\n _x = val2\n start = end\n end += 32\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n val1.joint_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.position_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.PositionConstraint()\n _v467 = val2.header\n start = end\n end += 4\n (_v467.seq,) = _get_struct_I().unpack(str[start:end])\n _v468 = _v467.stamp\n _x = _v468\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v467.frame_id = str[start:end].decode('utf-8')\n else:\n _v467.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.link_name = str[start:end].decode('utf-8')\n else:\n val2.link_name = str[start:end]\n _v469 = val2.target_point_offset\n _x = _v469\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v470 = val2.constraint_region\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v470.primitives = []\n for i in range(0, length):\n val4 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val4.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val4.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v470.primitives.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v470.primitive_poses = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Pose()\n _v471 = val4.position\n _x = _v471\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v472 = val4.orientation\n _x = _v472\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v470.primitive_poses.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v470.meshes = []\n for i in range(0, length):\n val4 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val4.triangles = []\n for i in range(0, length):\n val5 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val5.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val4.triangles.append(val5)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val4.vertices = []\n for i in range(0, length):\n val5 = geometry_msgs.msg.Point()\n _x = val5\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val4.vertices.append(val5)\n _v470.meshes.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v470.mesh_poses = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Pose()\n _v473 = val4.position\n _x = _v473\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v474 = val4.orientation\n _x = _v474\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v470.mesh_poses.append(val4)\n start = end\n end += 8\n (val2.weight,) = _get_struct_d().unpack(str[start:end])\n val1.position_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.orientation_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.OrientationConstraint()\n _v475 = val2.header\n start = end\n end += 4\n (_v475.seq,) = _get_struct_I().unpack(str[start:end])\n _v476 = _v475.stamp\n _x = _v476\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v475.frame_id = str[start:end].decode('utf-8')\n else:\n _v475.frame_id = str[start:end]\n _v477 = val2.orientation\n _x = _v477\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.link_name = str[start:end].decode('utf-8')\n else:\n val2.link_name = str[start:end]\n _x = val2\n start = end\n end += 32\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n val1.orientation_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.visibility_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.VisibilityConstraint()\n start = end\n end += 8\n (val2.target_radius,) = _get_struct_d().unpack(str[start:end])\n _v478 = val2.target_pose\n _v479 = _v478.header\n start = end\n end += 4\n (_v479.seq,) = _get_struct_I().unpack(str[start:end])\n _v480 = _v479.stamp\n _x = _v480\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v479.frame_id = str[start:end].decode('utf-8')\n else:\n _v479.frame_id = str[start:end]\n _v481 = _v478.pose\n _v482 = _v481.position\n _x = _v482\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v483 = _v481.orientation\n _x = _v483\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (val2.cone_sides,) = _get_struct_i().unpack(str[start:end])\n _v484 = val2.sensor_pose\n _v485 = _v484.header\n start = end\n end += 4\n (_v485.seq,) = _get_struct_I().unpack(str[start:end])\n _v486 = _v485.stamp\n _x = _v486\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v485.frame_id = str[start:end].decode('utf-8')\n else:\n _v485.frame_id = str[start:end]\n _v487 = _v484.pose\n _v488 = _v487.position\n _x = _v488\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v489 = _v487.orientation\n _x = _v489\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _x = val2\n start = end\n end += 25\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\n val1.visibility_constraints.append(val2)\n self.goal.request.goal_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.path_constraints.name = str[start:end].decode('utf-8')\n else:\n self.goal.request.path_constraints.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.path_constraints.joint_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.JointConstraint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.joint_name = str[start:end].decode('utf-8')\n else:\n val1.joint_name = str[start:end]\n _x = val1\n start = end\n end += 32\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n self.goal.request.path_constraints.joint_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.path_constraints.position_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.PositionConstraint()\n _v490 = val1.header\n start = end\n end += 4\n (_v490.seq,) = _get_struct_I().unpack(str[start:end])\n _v491 = _v490.stamp\n _x = _v491\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v490.frame_id = str[start:end].decode('utf-8')\n else:\n _v490.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _v492 = val1.target_point_offset\n _x = _v492\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v493 = val1.constraint_region\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v493.primitives = []\n for i in range(0, length):\n val3 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val3.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v493.primitives.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v493.primitive_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v494 = val3.position\n _x = _v494\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v495 = val3.orientation\n _x = _v495\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v493.primitive_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v493.meshes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.triangles = []\n for i in range(0, length):\n val4 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val4.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val3.triangles.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.vertices = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Point()\n _x = val4\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val3.vertices.append(val4)\n _v493.meshes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v493.mesh_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v496 = val3.position\n _x = _v496\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v497 = val3.orientation\n _x = _v497\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v493.mesh_poses.append(val3)\n start = end\n end += 8\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\n self.goal.request.path_constraints.position_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.path_constraints.orientation_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.OrientationConstraint()\n _v498 = val1.header\n start = end\n end += 4\n (_v498.seq,) = _get_struct_I().unpack(str[start:end])\n _v499 = _v498.stamp\n _x = _v499\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v498.frame_id = str[start:end].decode('utf-8')\n else:\n _v498.frame_id = str[start:end]\n _v500 = val1.orientation\n _x = _v500\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _x = val1\n start = end\n end += 32\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n self.goal.request.path_constraints.orientation_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.path_constraints.visibility_constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.VisibilityConstraint()\n start = end\n end += 8\n (val1.target_radius,) = _get_struct_d().unpack(str[start:end])\n _v501 = val1.target_pose\n _v502 = _v501.header\n start = end\n end += 4\n (_v502.seq,) = _get_struct_I().unpack(str[start:end])\n _v503 = _v502.stamp\n _x = _v503\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v502.frame_id = str[start:end].decode('utf-8')\n else:\n _v502.frame_id = str[start:end]\n _v504 = _v501.pose\n _v505 = _v504.position\n _x = _v505\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v506 = _v504.orientation\n _x = _v506\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (val1.cone_sides,) = _get_struct_i().unpack(str[start:end])\n _v507 = val1.sensor_pose\n _v508 = _v507.header\n start = end\n end += 4\n (_v508.seq,) = _get_struct_I().unpack(str[start:end])\n _v509 = _v508.stamp\n _x = _v509\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v508.frame_id = str[start:end].decode('utf-8')\n else:\n _v508.frame_id = str[start:end]\n _v510 = _v507.pose\n _v511 = _v510.position\n _x = _v511\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v512 = _v510.orientation\n _x = _v512\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _x = val1\n start = end\n end += 25\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\n self.goal.request.path_constraints.visibility_constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.trajectory_constraints.constraints = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.Constraints()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.joint_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.JointConstraint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.joint_name = str[start:end].decode('utf-8')\n else:\n val2.joint_name = str[start:end]\n _x = val2\n start = end\n end += 32\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n val1.joint_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.position_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.PositionConstraint()\n _v513 = val2.header\n start = end\n end += 4\n (_v513.seq,) = _get_struct_I().unpack(str[start:end])\n _v514 = _v513.stamp\n _x = _v514\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v513.frame_id = str[start:end].decode('utf-8')\n else:\n _v513.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.link_name = str[start:end].decode('utf-8')\n else:\n val2.link_name = str[start:end]\n _v515 = val2.target_point_offset\n _x = _v515\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v516 = val2.constraint_region\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v516.primitives = []\n for i in range(0, length):\n val4 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val4.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val4.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v516.primitives.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v516.primitive_poses = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Pose()\n _v517 = val4.position\n _x = _v517\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v518 = val4.orientation\n _x = _v518\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v516.primitive_poses.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v516.meshes = []\n for i in range(0, length):\n val4 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val4.triangles = []\n for i in range(0, length):\n val5 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val5.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val4.triangles.append(val5)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val4.vertices = []\n for i in range(0, length):\n val5 = geometry_msgs.msg.Point()\n _x = val5\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val4.vertices.append(val5)\n _v516.meshes.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v516.mesh_poses = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Pose()\n _v519 = val4.position\n _x = _v519\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v520 = val4.orientation\n _x = _v520\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v516.mesh_poses.append(val4)\n start = end\n end += 8\n (val2.weight,) = _get_struct_d().unpack(str[start:end])\n val1.position_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.orientation_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.OrientationConstraint()\n _v521 = val2.header\n start = end\n end += 4\n (_v521.seq,) = _get_struct_I().unpack(str[start:end])\n _v522 = _v521.stamp\n _x = _v522\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v521.frame_id = str[start:end].decode('utf-8')\n else:\n _v521.frame_id = str[start:end]\n _v523 = val2.orientation\n _x = _v523\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.link_name = str[start:end].decode('utf-8')\n else:\n val2.link_name = str[start:end]\n _x = val2\n start = end\n end += 32\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\n val1.orientation_constraints.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.visibility_constraints = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.VisibilityConstraint()\n start = end\n end += 8\n (val2.target_radius,) = _get_struct_d().unpack(str[start:end])\n _v524 = val2.target_pose\n _v525 = _v524.header\n start = end\n end += 4\n (_v525.seq,) = _get_struct_I().unpack(str[start:end])\n _v526 = _v525.stamp\n _x = _v526\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v525.frame_id = str[start:end].decode('utf-8')\n else:\n _v525.frame_id = str[start:end]\n _v527 = _v524.pose\n _v528 = _v527.position\n _x = _v528\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v529 = _v527.orientation\n _x = _v529\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n start = end\n end += 4\n (val2.cone_sides,) = _get_struct_i().unpack(str[start:end])\n _v530 = val2.sensor_pose\n _v531 = _v530.header\n start = end\n end += 4\n (_v531.seq,) = _get_struct_I().unpack(str[start:end])\n _v532 = _v531.stamp\n _x = _v532\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v531.frame_id = str[start:end].decode('utf-8')\n else:\n _v531.frame_id = str[start:end]\n _v533 = _v530.pose\n _v534 = _v533.position\n _x = _v534\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v535 = _v533.orientation\n _x = _v535\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _x = val2\n start = end\n end += 25\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\n val1.visibility_constraints.append(val2)\n self.goal.request.trajectory_constraints.constraints.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.request.reference_trajectories = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.GenericTrajectory()\n _v536 = val1.header\n start = end\n end += 4\n (_v536.seq,) = _get_struct_I().unpack(str[start:end])\n _v537 = _v536.stamp\n _x = _v537\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v536.frame_id = str[start:end].decode('utf-8')\n else:\n _v536.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.joint_trajectory = []\n for i in range(0, length):\n val2 = trajectory_msgs.msg.JointTrajectory()\n _v538 = val2.header\n start = end\n end += 4\n (_v538.seq,) = _get_struct_I().unpack(str[start:end])\n _v539 = _v538.stamp\n _x = _v539\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v538.frame_id = str[start:end].decode('utf-8')\n else:\n _v538.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.joint_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.points = []\n for i in range(0, length):\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.positions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.velocities = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.accelerations = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v540 = val3.time_from_start\n _x = _v540\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\n val2.points.append(val3)\n val1.joint_trajectory.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.cartesian_trajectory = []\n for i in range(0, length):\n val2 = moveit_msgs.msg.CartesianTrajectory()\n _v541 = val2.header\n start = end\n end += 4\n (_v541.seq,) = _get_struct_I().unpack(str[start:end])\n _v542 = _v541.stamp\n _x = _v542\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v541.frame_id = str[start:end].decode('utf-8')\n else:\n _v541.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.tracked_frame = str[start:end].decode('utf-8')\n else:\n val2.tracked_frame = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.points = []\n for i in range(0, length):\n val3 = moveit_msgs.msg.CartesianTrajectoryPoint()\n _v543 = val3.point\n _v544 = _v543.pose\n _v545 = _v544.position\n _x = _v545\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v546 = _v544.orientation\n _x = _v546\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v547 = _v543.velocity\n _v548 = _v547.linear\n _x = _v548\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v549 = _v547.angular\n _x = _v549\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v550 = _v543.acceleration\n _v551 = _v550.linear\n _x = _v551\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v552 = _v550.angular\n _x = _v552\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v553 = val3.time_from_start\n _x = _v553\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\n val2.points.append(val3)\n val1.cartesian_trajectory.append(val2)\n self.goal.request.reference_trajectories.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.planner_id = str[start:end].decode('utf-8')\n else:\n self.goal.request.planner_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.request.group_name = str[start:end].decode('utf-8')\n else:\n self.goal.request.group_name = str[start:end]\n _x = self\n start = end\n end += 28\n (_x.goal.request.num_planning_attempts, _x.goal.request.allowed_planning_time, _x.goal.request.max_velocity_scaling_factor, _x.goal.request.max_acceleration_scaling_factor,) = _get_struct_i3d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.name = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.name = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 12\n (_x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Transform()\n _v554 = val1.translation\n _x = _v554\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v555 = val1.rotation\n _x = _v555\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Twist()\n _v556 = val1.linear\n _x = _v556\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v557 = val1.angular\n _x = _v557\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Wrench()\n _v558 = val1.force\n _x = _v558\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v559 = val1.torque\n _x = _v559\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.AttachedCollisionObject()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _v560 = val1.object\n _v561 = _v560.header\n start = end\n end += 4\n (_v561.seq,) = _get_struct_I().unpack(str[start:end])\n _v562 = _v561.stamp\n _x = _v562\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v561.frame_id = str[start:end].decode('utf-8')\n else:\n _v561.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v560.id = str[start:end].decode('utf-8')\n else:\n _v560.id = str[start:end]\n _v563 = _v560.type\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v563.key = str[start:end].decode('utf-8')\n else:\n _v563.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v563.db = str[start:end].decode('utf-8')\n else:\n _v563.db = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.primitives = []\n for i in range(0, length):\n val3 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val3.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v560.primitives.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.primitive_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v564 = val3.position\n _x = _v564\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v565 = val3.orientation\n _x = _v565\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v560.primitive_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.meshes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.triangles = []\n for i in range(0, length):\n val4 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val4.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val3.triangles.append(val4)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.vertices = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Point()\n _x = val4\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val3.vertices.append(val4)\n _v560.meshes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.mesh_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v566 = val3.position\n _x = _v566\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v567 = val3.orientation\n _x = _v567\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v560.mesh_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.planes = []\n for i in range(0, length):\n val3 = shape_msgs.msg.Plane()\n start = end\n end += 32\n val3.coef = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\n _v560.planes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.plane_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v568 = val3.position\n _x = _v568\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v569 = val3.orientation\n _x = _v569\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v560.plane_poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.subframe_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n _v560.subframe_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v560.subframe_poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v570 = val3.position\n _x = _v570\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v571 = val3.orientation\n _x = _v571\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n _v560.subframe_poses.append(val3)\n start = end\n end += 1\n (_v560.operation,) = _get_struct_b().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.touch_links = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.touch_links.append(val2)\n _v572 = val1.detach_posture\n _v573 = _v572.header\n start = end\n end += 4\n (_v573.seq,) = _get_struct_I().unpack(str[start:end])\n _v574 = _v573.stamp\n _x = _v574\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v573.frame_id = str[start:end].decode('utf-8')\n else:\n _v573.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v572.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n _v572.joint_names.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v572.points = []\n for i in range(0, length):\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.positions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.velocities = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.accelerations = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _v575 = val3.time_from_start\n _x = _v575\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\n _v572.points.append(val3)\n start = end\n end += 8\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects.append(val1)\n start = end\n end += 1\n (self.goal.planning_options.planning_scene_diff.robot_state.is_diff,) = _get_struct_B().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.robot_state.is_diff = bool(self.goal.planning_options.planning_scene_diff.robot_state.is_diff)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.robot_model_name = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.robot_model_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.fixed_frame_transforms = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.TransformStamped()\n _v576 = val1.header\n start = end\n end += 4\n (_v576.seq,) = _get_struct_I().unpack(str[start:end])\n _v577 = _v576.stamp\n _x = _v577\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v576.frame_id = str[start:end].decode('utf-8')\n else:\n _v576.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.child_frame_id = str[start:end].decode('utf-8')\n else:\n val1.child_frame_id = str[start:end]\n _v578 = val1.transform\n _v579 = _v578.translation\n _x = _v579\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v580 = _v578.rotation\n _x = _v580\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.fixed_frame_transforms.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.AllowedCollisionEntry()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sB'%length\n start = end\n end += struct.calcsize(pattern)\n val1.enabled = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\n val1.enabled = map(bool, val1.enabled)\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sB'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values = map(bool, self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.link_padding = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.LinkPadding()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n start = end\n end += 8\n (val1.padding,) = _get_struct_d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.link_padding.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.link_scale = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.LinkScale()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n start = end\n end += 8\n (val1.scale,) = _get_struct_d().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.link_scale.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.object_colors = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.ObjectColor()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n _v581 = val1.color\n _x = _v581\n start = end\n end += 16\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.object_colors.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.world.collision_objects = []\n for i in range(0, length):\n val1 = moveit_msgs.msg.CollisionObject()\n _v582 = val1.header\n start = end\n end += 4\n (_v582.seq,) = _get_struct_I().unpack(str[start:end])\n _v583 = _v582.stamp\n _x = _v583\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v582.frame_id = str[start:end].decode('utf-8')\n else:\n _v582.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n _v584 = val1.type\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v584.key = str[start:end].decode('utf-8')\n else:\n _v584.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v584.db = str[start:end].decode('utf-8')\n else:\n _v584.db = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.primitives = []\n for i in range(0, length):\n val2 = shape_msgs.msg.SolidPrimitive()\n start = end\n end += 1\n (val2.type,) = _get_struct_B().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val2.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n val1.primitives.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.primitive_poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v585 = val2.position\n _x = _v585\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v586 = val2.orientation\n _x = _v586\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n val1.primitive_poses.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.meshes = []\n for i in range(0, length):\n val2 = shape_msgs.msg.Mesh()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.triangles = []\n for i in range(0, length):\n val3 = shape_msgs.msg.MeshTriangle()\n start = end\n end += 12\n val3.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\n val2.triangles.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.vertices = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Point()\n _x = val3\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n val2.vertices.append(val3)\n val1.meshes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.mesh_poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v587 = val2.position\n _x = _v587\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v588 = val2.orientation\n _x = _v588\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n val1.mesh_poses.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.planes = []\n for i in range(0, length):\n val2 = shape_msgs.msg.Plane()\n start = end\n end += 32\n val2.coef = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\n val1.planes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.plane_poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v589 = val2.position\n _x = _v589\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v590 = val2.orientation\n _x = _v590\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n val1.plane_poses.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.subframe_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.subframe_names.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.subframe_poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v591 = val2.position\n _x = _v591\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\n _v592 = val2.orientation\n _x = _v592\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\n val1.subframe_poses.append(val2)\n start = end\n end += 1\n (val1.operation,) = _get_struct_b().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.world.collision_objects.append(val1)\n _x = self\n start = end\n end += 12\n (_x.goal.planning_options.planning_scene_diff.world.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.w, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id = str[start:end]\n start = end\n end += 1\n (self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary,) = _get_struct_B().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary = bool(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id = str[start:end].decode('utf-8')\n else:\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id = str[start:end]\n start = end\n end += 8\n (self.goal.planning_options.planning_scene_diff.world.octomap.octomap.resolution,) = _get_struct_d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sb'%length\n start = end\n end += struct.calcsize(pattern)\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.data = numpy.frombuffer(str[start:end], dtype=numpy.int8, count=length)\n _x = self\n start = end\n end += 28\n (_x.goal.planning_options.planning_scene_diff.is_diff, _x.goal.planning_options.plan_only, _x.goal.planning_options.look_around, _x.goal.planning_options.look_around_attempts, _x.goal.planning_options.max_safe_execution_cost, _x.goal.planning_options.replan, _x.goal.planning_options.replan_attempts, _x.goal.planning_options.replan_delay,) = _get_struct_3BidBid().unpack(str[start:end])\n self.goal.planning_options.planning_scene_diff.is_diff = bool(self.goal.planning_options.planning_scene_diff.is_diff)\n self.goal.planning_options.plan_only = bool(self.goal.planning_options.plan_only)\n self.goal.planning_options.look_around = bool(self.goal.planning_options.look_around)\n self.goal.planning_options.replan = bool(self.goal.planning_options.replan)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.pending is None:\n self.pending = None\n if self.available is None:\n self.available = None\n if self.missing is None:\n self.missing = None\n if self.gone is None:\n self.gone = None\n end = 0\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.pending = []\n for i in range(0, length):\n val1 = concert_msgs.msg.ConcertClient()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.gateway_name = str[start:end].decode('utf-8')\n else:\n val1.gateway_name = str[start:end]\n _v49 = val1.platform_info\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v49.name = str[start:end].decode('utf-8')\n else:\n _v49.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v49.rocon_uri = str[start:end].decode('utf-8')\n else:\n _v49.rocon_uri = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v49.description = str[start:end].decode('utf-8')\n else:\n _v49.description = str[start:end]\n _v50 = _v49.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v50.resource_name = str[start:end].decode('utf-8')\n else:\n _v50.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v50.format = str[start:end].decode('utf-8')\n else:\n _v50.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v50.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v49.version = str[start:end].decode('utf-8')\n else:\n _v49.version = str[start:end]\n start = end\n end += 1\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\n val1.is_local_client = bool(val1.is_local_client)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.state = str[start:end].decode('utf-8')\n else:\n val1.state = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.ip = str[start:end].decode('utf-8')\n else:\n val1.ip = str[start:end]\n _v51 = val1.conn_stats\n _x = _v51\n start = end\n end += 40\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\n _v51.gateway_available = bool(_v51.gateway_available)\n _v51.network_info_available = bool(_v51.network_info_available)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.rapps = []\n for i in range(0, length):\n val2 = rocon_app_manager_msgs.msg.Rapp()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.display_name = str[start:end].decode('utf-8')\n else:\n val2.display_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.description = str[start:end].decode('utf-8')\n else:\n val2.description = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.compatibility = str[start:end].decode('utf-8')\n else:\n val2.compatibility = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.status = str[start:end].decode('utf-8')\n else:\n val2.status = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.implementations = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.implementations.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.preferred = str[start:end].decode('utf-8')\n else:\n val2.preferred = str[start:end]\n _v52 = val2.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v52.resource_name = str[start:end].decode('utf-8')\n else:\n _v52.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v52.format = str[start:end].decode('utf-8')\n else:\n _v52.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v52.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_interface = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_interface.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_parameters = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_parameters.append(val3)\n val1.rapps.append(val2)\n self.pending.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.available = []\n for i in range(0, length):\n val1 = concert_msgs.msg.ConcertClient()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.gateway_name = str[start:end].decode('utf-8')\n else:\n val1.gateway_name = str[start:end]\n _v53 = val1.platform_info\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v53.name = str[start:end].decode('utf-8')\n else:\n _v53.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v53.rocon_uri = str[start:end].decode('utf-8')\n else:\n _v53.rocon_uri = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v53.description = str[start:end].decode('utf-8')\n else:\n _v53.description = str[start:end]\n _v54 = _v53.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v54.resource_name = str[start:end].decode('utf-8')\n else:\n _v54.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v54.format = str[start:end].decode('utf-8')\n else:\n _v54.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v54.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v53.version = str[start:end].decode('utf-8')\n else:\n _v53.version = str[start:end]\n start = end\n end += 1\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\n val1.is_local_client = bool(val1.is_local_client)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.state = str[start:end].decode('utf-8')\n else:\n val1.state = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.ip = str[start:end].decode('utf-8')\n else:\n val1.ip = str[start:end]\n _v55 = val1.conn_stats\n _x = _v55\n start = end\n end += 40\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\n _v55.gateway_available = bool(_v55.gateway_available)\n _v55.network_info_available = bool(_v55.network_info_available)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.rapps = []\n for i in range(0, length):\n val2 = rocon_app_manager_msgs.msg.Rapp()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.display_name = str[start:end].decode('utf-8')\n else:\n val2.display_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.description = str[start:end].decode('utf-8')\n else:\n val2.description = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.compatibility = str[start:end].decode('utf-8')\n else:\n val2.compatibility = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.status = str[start:end].decode('utf-8')\n else:\n val2.status = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.implementations = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.implementations.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.preferred = str[start:end].decode('utf-8')\n else:\n val2.preferred = str[start:end]\n _v56 = val2.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v56.resource_name = str[start:end].decode('utf-8')\n else:\n _v56.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v56.format = str[start:end].decode('utf-8')\n else:\n _v56.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v56.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_interface = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_interface.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_parameters = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_parameters.append(val3)\n val1.rapps.append(val2)\n self.available.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.missing = []\n for i in range(0, length):\n val1 = concert_msgs.msg.ConcertClient()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.gateway_name = str[start:end].decode('utf-8')\n else:\n val1.gateway_name = str[start:end]\n _v57 = val1.platform_info\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v57.name = str[start:end].decode('utf-8')\n else:\n _v57.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v57.rocon_uri = str[start:end].decode('utf-8')\n else:\n _v57.rocon_uri = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v57.description = str[start:end].decode('utf-8')\n else:\n _v57.description = str[start:end]\n _v58 = _v57.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v58.resource_name = str[start:end].decode('utf-8')\n else:\n _v58.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v58.format = str[start:end].decode('utf-8')\n else:\n _v58.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v58.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v57.version = str[start:end].decode('utf-8')\n else:\n _v57.version = str[start:end]\n start = end\n end += 1\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\n val1.is_local_client = bool(val1.is_local_client)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.state = str[start:end].decode('utf-8')\n else:\n val1.state = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.ip = str[start:end].decode('utf-8')\n else:\n val1.ip = str[start:end]\n _v59 = val1.conn_stats\n _x = _v59\n start = end\n end += 40\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\n _v59.gateway_available = bool(_v59.gateway_available)\n _v59.network_info_available = bool(_v59.network_info_available)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.rapps = []\n for i in range(0, length):\n val2 = rocon_app_manager_msgs.msg.Rapp()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.display_name = str[start:end].decode('utf-8')\n else:\n val2.display_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.description = str[start:end].decode('utf-8')\n else:\n val2.description = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.compatibility = str[start:end].decode('utf-8')\n else:\n val2.compatibility = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.status = str[start:end].decode('utf-8')\n else:\n val2.status = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.implementations = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.implementations.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.preferred = str[start:end].decode('utf-8')\n else:\n val2.preferred = str[start:end]\n _v60 = val2.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v60.resource_name = str[start:end].decode('utf-8')\n else:\n _v60.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v60.format = str[start:end].decode('utf-8')\n else:\n _v60.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v60.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_interface = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_interface.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_parameters = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_parameters.append(val3)\n val1.rapps.append(val2)\n self.missing.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.gone = []\n for i in range(0, length):\n val1 = concert_msgs.msg.ConcertClient()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.gateway_name = str[start:end].decode('utf-8')\n else:\n val1.gateway_name = str[start:end]\n _v61 = val1.platform_info\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v61.name = str[start:end].decode('utf-8')\n else:\n _v61.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v61.rocon_uri = str[start:end].decode('utf-8')\n else:\n _v61.rocon_uri = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v61.description = str[start:end].decode('utf-8')\n else:\n _v61.description = str[start:end]\n _v62 = _v61.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v62.resource_name = str[start:end].decode('utf-8')\n else:\n _v62.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v62.format = str[start:end].decode('utf-8')\n else:\n _v62.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v62.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v61.version = str[start:end].decode('utf-8')\n else:\n _v61.version = str[start:end]\n start = end\n end += 1\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\n val1.is_local_client = bool(val1.is_local_client)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.state = str[start:end].decode('utf-8')\n else:\n val1.state = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.ip = str[start:end].decode('utf-8')\n else:\n val1.ip = str[start:end]\n _v63 = val1.conn_stats\n _x = _v63\n start = end\n end += 40\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\n _v63.gateway_available = bool(_v63.gateway_available)\n _v63.network_info_available = bool(_v63.network_info_available)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.rapps = []\n for i in range(0, length):\n val2 = rocon_app_manager_msgs.msg.Rapp()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.name = str[start:end].decode('utf-8')\n else:\n val2.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.display_name = str[start:end].decode('utf-8')\n else:\n val2.display_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.description = str[start:end].decode('utf-8')\n else:\n val2.description = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.compatibility = str[start:end].decode('utf-8')\n else:\n val2.compatibility = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.status = str[start:end].decode('utf-8')\n else:\n val2.status = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.implementations = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3 = str[start:end].decode('utf-8')\n else:\n val3 = str[start:end]\n val2.implementations.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2.preferred = str[start:end].decode('utf-8')\n else:\n val2.preferred = str[start:end]\n _v64 = val2.icon\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v64.resource_name = str[start:end].decode('utf-8')\n else:\n _v64.resource_name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v64.format = str[start:end].decode('utf-8')\n else:\n _v64.format = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n _v64.data = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_interface = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_interface.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.public_parameters = []\n for i in range(0, length):\n val3 = rocon_std_msgs.msg.KeyValue()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.key = str[start:end].decode('utf-8')\n else:\n val3.key = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val3.value = str[start:end].decode('utf-8')\n else:\n val3.value = str[start:end]\n val2.public_parameters.append(val3)\n val1.rapps.append(val2)\n self.gone.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.image is None:\n self.image = autonavigation.msg.Image()\n end = 0\n _x = self\n start = end\n end += 29\n (_x.unique_key, _x.gps_week, _x.gps_millisecond, _x.video_id, _x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs,) = _struct_2IQB3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.image.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.image.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 212\n (_x.image.localPose.time, _x.image.localPose.dr_x, _x.image.localPose.dr_y, _x.image.localPose.dr_z, _x.image.localPose.dr_heading, _x.image.localPose.dr_roll, _x.image.localPose.dr_pitch, _x.image.localPose.lf_speed, _x.image.localPose.rf_speed, _x.image.localPose.lr_speed, _x.image.localPose.rr_speed, _x.image.localPose.rot_x, _x.image.localPose.rot_y, _x.image.localPose.rot_z, _x.image.localPose.acc_x, _x.image.localPose.acc_y, _x.image.localPose.acc_z, _x.image.localPose.batteryState, _x.image.localPose.batteryEnergy, _x.image.localPose.steer, _x.image.localPose.brake, _x.image.localPose.fuel, _x.image.localPose.trans, _x.image.localPose.VehicleState, _x.image.localPose.mode, _x.image.localPose.drStatus, _x.image.localPose.errorStatus, _x.image.localPose.emergency_flag, _x.image.localPose.hardswitch_on, _x.image.gpsPos.gps_flag, _x.image.gpsPos.gps_week, _x.image.gpsPos.gps_millisecond, _x.image.gpsPos.longitude, _x.image.gpsPos.laltitude, _x.image.gpsPos.gaussX, _x.image.gpsPos.gaussY, _x.image.gpsPos.height, _x.image.gpsPos.pitch, _x.image.gpsPos.roll, _x.image.gpsPos.azimuth, _x.image.gpsPos.northVelocity, _x.image.gpsPos.eastVelocity, _x.image.gpsPos.upVelocity, _x.image.gpsPos.positionStatus, _x.image.gpsPos.rot_x, _x.image.gpsPos.rot_y, _x.image.gpsPos.rot_z, _x.image.gpsPos.acc_x, _x.image.gpsPos.acc_y, _x.image.gpsPos.acc_z, _x.image.height, _x.image.width,) = _struct_d21i7bBI6d13i2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.image.encoding = str[start:end].decode('utf-8')\n else:\n self.image.encoding = str[start:end]\n _x = self\n start = end\n end += 5\n (_x.image.is_bigendian, _x.image.step,) = _struct_BI.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n self.image.data = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.x is None:\n self.x = geometry_msgs.msg.PoseStamped()\n if self.x_desi is None:\n self.x_desi = geometry_msgs.msg.PoseStamped()\n if self.x_desi_filtered is None:\n self.x_desi_filtered = geometry_msgs.msg.PoseStamped()\n if self.x_err is None:\n self.x_err = geometry_msgs.msg.Twist()\n if self.xd is None:\n self.xd = geometry_msgs.msg.Twist()\n if self.xd_desi is None:\n self.xd_desi = geometry_msgs.msg.Twist()\n if self.F is None:\n self.F = geometry_msgs.msg.Wrench()\n if self.J is None:\n self.J = std_msgs.msg.Float64MultiArray()\n if self.N is None:\n self.N = std_msgs.msg.Float64MultiArray()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 12\n (_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x_desi.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x_desi.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 68\n (_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.x_desi_filtered.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.x_desi_filtered.header.frame_id = str[start:end]\n _x = self\n start = end\n end += 248\n (_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z,) = _get_struct_31d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau_pose = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau_posture = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.tau = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.J.layout.dim = []\n for i in range(0, length):\n val1 = std_msgs.msg.MultiArrayDimension()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.label = str[start:end].decode('utf-8')\n else:\n val1.label = str[start:end]\n _x = val1\n start = end\n end += 8\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\n self.J.layout.dim.append(val1)\n start = end\n end += 4\n (self.J.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.J.data = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.N.layout.dim = []\n for i in range(0, length):\n val1 = std_msgs.msg.MultiArrayDimension()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.label = str[start:end].decode('utf-8')\n else:\n val1.label = str[start:end]\n _x = val1\n start = end\n end += 8\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\n self.N.layout.dim.append(val1)\n start = end\n end += 4\n (self.N.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.N.data = struct.unpack(pattern, str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def _from_cpp(self, str_msg, cls):\n msg = cls()\n result = msg.deserialize(str_msg)\n return result","def deserialize(self, str):\n codecs.lookup_error(\"rosmsg\").msg_type = self._type\n try:\n if self.position is None:\n self.position = geometry_msgs.msg.Point()\n if self.approach is None:\n self.approach = geometry_msgs.msg.Vector3()\n if self.binormal is None:\n self.binormal = geometry_msgs.msg.Vector3()\n if self.axis is None:\n self.axis = geometry_msgs.msg.Vector3()\n if self.width is None:\n self.width = std_msgs.msg.Float32()\n if self.score is None:\n self.score = std_msgs.msg.Float32()\n if self.sample is None:\n self.sample = geometry_msgs.msg.Point()\n end = 0\n _x = self\n start = end\n end += 128\n (_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z,) = _get_struct_12d2f3d().unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) # most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.planning_scene_diff is None:\n self.planning_scene_diff = arm_navigation_msgs.msg.PlanningScene()\n if self.operations is None:\n self.operations = arm_navigation_msgs.msg.OrderedCollisionOperations()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.planning_scene_diff.robot_state.joint_state.header.seq, _x.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.robot_state.joint_state.name = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.planning_scene_diff.robot_state.joint_state.name.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.planning_scene_diff.robot_state.joint_state.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.planning_scene_diff.robot_state.joint_state.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n self.planning_scene_diff.robot_state.joint_state.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n _x = self\n start = end\n end += 8\n (_x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.secs, _x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.robot_state.multi_dof_joint_state.poses = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v85 = val1.position\n _x = _v85\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v86 = val1.orientation\n _x = _v86\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.planning_scene_diff.robot_state.multi_dof_joint_state.poses.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.fixed_frame_transforms = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.TransformStamped()\n _v87 = val1.header\n start = end\n end += 4\n (_v87.seq,) = _struct_I.unpack(str[start:end])\n _v88 = _v87.stamp\n _x = _v88\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v87.frame_id = str[start:end].decode('utf-8')\n else:\n _v87.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.child_frame_id = str[start:end].decode('utf-8')\n else:\n val1.child_frame_id = str[start:end]\n _v89 = val1.transform\n _v90 = _v89.translation\n _x = _v90\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v91 = _v89.rotation\n _x = _v91\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.planning_scene_diff.fixed_frame_transforms.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.allowed_collision_matrix.link_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1 = str[start:end].decode('utf-8')\n else:\n val1 = str[start:end]\n self.planning_scene_diff.allowed_collision_matrix.link_names.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.allowed_collision_matrix.entries = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.AllowedCollisionEntry()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sB'%length\n start = end\n end += struct.calcsize(pattern)\n val1.enabled = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\n val1.enabled = map(bool, val1.enabled)\n self.planning_scene_diff.allowed_collision_matrix.entries.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.allowed_contacts = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.AllowedContactSpecification()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _v92 = val1.shape\n start = end\n end += 1\n (_v92.type,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n _v92.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n _v92.triangles = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v92.vertices = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Point()\n _x = val3\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v92.vertices.append(val3)\n _v93 = val1.pose_stamped\n _v94 = _v93.header\n start = end\n end += 4\n (_v94.seq,) = _struct_I.unpack(str[start:end])\n _v95 = _v94.stamp\n _x = _v95\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v94.frame_id = str[start:end].decode('utf-8')\n else:\n _v94.frame_id = str[start:end]\n _v96 = _v93.pose\n _v97 = _v96.position\n _x = _v97\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v98 = _v96.orientation\n _x = _v98\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.link_names = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.link_names.append(val2)\n start = end\n end += 8\n (val1.penetration_depth,) = _struct_d.unpack(str[start:end])\n self.planning_scene_diff.allowed_contacts.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.link_padding = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.LinkPadding()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n start = end\n end += 8\n (val1.padding,) = _struct_d.unpack(str[start:end])\n self.planning_scene_diff.link_padding.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.collision_objects = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.CollisionObject()\n _v99 = val1.header\n start = end\n end += 4\n (_v99.seq,) = _struct_I.unpack(str[start:end])\n _v100 = _v99.stamp\n _x = _v100\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v99.frame_id = str[start:end].decode('utf-8')\n else:\n _v99.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.id = str[start:end].decode('utf-8')\n else:\n val1.id = str[start:end]\n start = end\n end += 4\n (val1.padding,) = _struct_f.unpack(str[start:end])\n _v101 = val1.operation\n start = end\n end += 1\n (_v101.operation,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.shapes = []\n for i in range(0, length):\n val2 = arm_navigation_msgs.msg.Shape()\n start = end\n end += 1\n (val2.type,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val2.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n val2.triangles = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val2.vertices = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Point()\n _x = val3\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n val2.vertices.append(val3)\n val1.shapes.append(val2)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.poses = []\n for i in range(0, length):\n val2 = geometry_msgs.msg.Pose()\n _v102 = val2.position\n _x = _v102\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v103 = val2.orientation\n _x = _v103\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n val1.poses.append(val2)\n self.planning_scene_diff.collision_objects.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.attached_collision_objects = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.AttachedCollisionObject()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.link_name = str[start:end].decode('utf-8')\n else:\n val1.link_name = str[start:end]\n _v104 = val1.object\n _v105 = _v104.header\n start = end\n end += 4\n (_v105.seq,) = _struct_I.unpack(str[start:end])\n _v106 = _v105.stamp\n _x = _v106\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v105.frame_id = str[start:end].decode('utf-8')\n else:\n _v105.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n _v104.id = str[start:end].decode('utf-8')\n else:\n _v104.id = str[start:end]\n start = end\n end += 4\n (_v104.padding,) = _struct_f.unpack(str[start:end])\n _v107 = _v104.operation\n start = end\n end += 1\n (_v107.operation,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v104.shapes = []\n for i in range(0, length):\n val3 = arm_navigation_msgs.msg.Shape()\n start = end\n end += 1\n (val3.type,) = _struct_b.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sd'%length\n start = end\n end += struct.calcsize(pattern)\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%si'%length\n start = end\n end += struct.calcsize(pattern)\n val3.triangles = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val3.vertices = []\n for i in range(0, length):\n val4 = geometry_msgs.msg.Point()\n _x = val4\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n val3.vertices.append(val4)\n _v104.shapes.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n _v104.poses = []\n for i in range(0, length):\n val3 = geometry_msgs.msg.Pose()\n _v108 = val3.position\n _x = _v108\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v109 = val3.orientation\n _x = _v109\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n _v104.poses.append(val3)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n val1.touch_links = []\n for i in range(0, length):\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val2 = str[start:end].decode('utf-8')\n else:\n val2 = str[start:end]\n val1.touch_links.append(val2)\n self.planning_scene_diff.attached_collision_objects.append(val1)\n _x = self\n start = end\n end += 12\n (_x.planning_scene_diff.collision_map.header.seq, _x.planning_scene_diff.collision_map.header.stamp.secs, _x.planning_scene_diff.collision_map.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.planning_scene_diff.collision_map.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.planning_scene_diff.collision_map.header.frame_id = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.planning_scene_diff.collision_map.boxes = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.OrientedBoundingBox()\n _v110 = val1.center\n _x = _v110\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\n _v111 = val1.extents\n _x = _v111\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\n _v112 = val1.axis\n _x = _v112\n start = end\n end += 12\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\n start = end\n end += 4\n (val1.angle,) = _struct_f.unpack(str[start:end])\n self.planning_scene_diff.collision_map.boxes.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.operations.collision_operations = []\n for i in range(0, length):\n val1 = arm_navigation_msgs.msg.CollisionOperation()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.object1 = str[start:end].decode('utf-8')\n else:\n val1.object1 = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.object2 = str[start:end].decode('utf-8')\n else:\n val1.object2 = str[start:end]\n _x = val1\n start = end\n end += 12\n (_x.penetration_distance, _x.operation,) = _struct_di.unpack(str[start:end])\n self.operations.collision_operations.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize_numpy(self, str, numpy):\n try:\n if self.plans is None:\n self.plans = None\n end = 0\n start = end\n end += 1\n (self.error,) = _get_struct_b().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.start_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.target_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.plans = []\n for i in range(0, length):\n val1 = poppy_torso_control.msg.Trajectory()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.joint = str[start:end].decode('utf-8')\n else:\n val1.joint = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.trajectory = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\n self.plans.append(val1)\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.pose is None:\n self.pose = geometry_msgs.msg.PoseWithCovariance()\n end = 0\n _x = self\n start = end\n end += 72\n (_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w,) = _get_struct_Q8d().unpack(str[start:end])\n start = end\n end += 288\n self.pose.covariance = _get_struct_36d().unpack(str[start:end])\n _x = self\n start = end\n end += 40\n (_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h,) = _get_struct_5d().unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.modality = str[start:end].decode('utf-8')\n else:\n self.modality = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n self.embed_vector = struct.unpack(pattern, str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n if self.model_aligned is None:\n self.model_aligned = articulation_msgs.msg.ModelMsg()\n if self.data_aligned is None:\n self.data_aligned = articulation_msgs.msg.ModelMsg()\n end = 0\n _x = self\n start = end\n end += 12\n (_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model_aligned.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model_aligned.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.name = str[start:end].decode('utf-8')\n else:\n self.model_aligned.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.model_aligned.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.model_aligned.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.model_aligned.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.model_aligned.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v71 = val1.position\n _x = _v71\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v72 = val1.orientation\n _x = _v72\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v73 = val1.stamp\n _x = _v73\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.model_aligned.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v74 = val1.position\n _x = _v74\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v75 = val1.orientation\n _x = _v75\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v76 = val1.position\n _x = _v76\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v77 = val1.orientation\n _x = _v77\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.model_aligned.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.model_aligned.track.pose_flags = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.model_aligned.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = struct.unpack(pattern, str[start:end])\n self.model_aligned.track.channels.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data_aligned.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data_aligned.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.name = str[start:end].decode('utf-8')\n else:\n self.data_aligned.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.params = []\n for i in range(0, length):\n val1 = articulation_msgs.msg.ParamMsg()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n _x = val1\n start = end\n end += 9\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\n self.data_aligned.params.append(val1)\n _x = self\n start = end\n end += 12\n (_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.data_aligned.track.header.frame_id = str[start:end].decode('utf-8')\n else:\n self.data_aligned.track.header.frame_id = str[start:end]\n start = end\n end += 4\n (self.data_aligned.track.id,) = _struct_i.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v78 = val1.position\n _x = _v78\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v79 = val1.orientation\n _x = _v79\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_headers = []\n for i in range(0, length):\n val1 = std_msgs.msg.Header()\n start = end\n end += 4\n (val1.seq,) = _struct_I.unpack(str[start:end])\n _v80 = val1.stamp\n _x = _v80\n start = end\n end += 8\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.frame_id = str[start:end].decode('utf-8')\n else:\n val1.frame_id = str[start:end]\n self.data_aligned.track.pose_headers.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_projected = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v81 = val1.position\n _x = _v81\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v82 = val1.orientation\n _x = _v82\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose_projected.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.pose_resampled = []\n for i in range(0, length):\n val1 = geometry_msgs.msg.Pose()\n _v83 = val1.position\n _x = _v83\n start = end\n end += 24\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\n _v84 = val1.orientation\n _x = _v84\n start = end\n end += 32\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\n self.data_aligned.track.pose_resampled.append(val1)\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sI'%length\n start = end\n end += struct.calcsize(pattern)\n self.data_aligned.track.pose_flags = struct.unpack(pattern, str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n self.data_aligned.track.channels = []\n for i in range(0, length):\n val1 = sensor_msgs.msg.ChannelFloat32()\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n val1.name = str[start:end].decode('utf-8')\n else:\n val1.name = str[start:end]\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n pattern = '<%sf'%length\n start = end\n end += struct.calcsize(pattern)\n val1.values = struct.unpack(pattern, str[start:end])\n self.data_aligned.track.channels.append(val1)\n start = end\n end += 72\n self.R = _struct_9d.unpack(str[start:end])\n start = end\n end += 24\n self.T = _struct_3d.unpack(str[start:end])\n _x = self\n start = end\n end += 12\n (_x.dist_rot, _x.dist_trans,) = _struct_df.unpack(str[start:end])\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill","def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 152\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _struct_2d2q14dq.unpack(str[start:end])\n start = end\n end += 4\n (length,) = _struct_I.unpack(str[start:end])\n start = end\n end += length\n if python3:\n self.msg = str[start:end].decode('utf-8')\n else:\n self.msg = str[start:end]\n return self\n except struct.error as e:\n raise genpy.DeserializationError(e) #most likely buffer underfill"],"string":"[\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 152\\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _struct_2d2q14dq.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.msg = str[start:end].decode('utf-8')\\n else:\\n self.msg = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.position is None:\\n self.position = geometry_msgs.msg.Point()\\n if self.approach is None:\\n self.approach = geometry_msgs.msg.Vector3()\\n if self.binormal is None:\\n self.binormal = geometry_msgs.msg.Vector3()\\n if self.axis is None:\\n self.axis = geometry_msgs.msg.Vector3()\\n if self.width is None:\\n self.width = std_msgs.msg.Float32()\\n if self.score is None:\\n self.score = std_msgs.msg.Float32()\\n if self.sample is None:\\n self.sample = geometry_msgs.msg.Point()\\n end = 0\\n _x = self\\n start = end\\n end += 128\\n (_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z,) = _get_struct_12d2f3d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.originId, _x.originType, _x.destinationId, _x.destinationType, _x.range, _x.ts, _x.seq, _x.rxPower, _x.channel, _x.datarate, _x.prf, _x.preambleLength, _x.txGain, _x.angle,) = _get_struct_ihih3i3d2i2d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.cmd = str[start:end].decode('utf-8')\\n else:\\n self.cmd = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.cat = str[start:end].decode('utf-8')\\n else:\\n self.cat = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n if python3:\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.control is None:\\n self.control = vesc_msgs.msg.VescCtrl()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 56\\n (_x.control.mode, _x.control.duty_cycle, _x.control.current, _x.control.brake, _x.control.speed, _x.control.position, _x.control.servo,) = _get_struct_q6d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n if python3:\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.Header is None:\\n self.Header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.Header.seq, _x.Header.stamp.secs, _x.Header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.Header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.Header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 11\\n (_x.x_pos, _x.y_pos, _x.angle, _x.code_type, _x.code_num,) = _get_struct_2hHBI().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg._Header.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 3\\n (_x.gear, _x.front_diff, _x.rear_diff,) = _struct_3B.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.sv is None:\\n self.sv = None\\n end = 0\\n _x = self\\n start = end\\n end += 8\\n (_x.rcvTOW, _x.week, _x.numSV, _x.reserved1,) = _get_struct_ih2B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.sv = []\\n for i in range(0, length):\\n val1 = ublox_msgs.msg.RxmRAW_SV()\\n _x = val1\\n start = end\\n end += 24\\n (_x.cpMes, _x.prMes, _x.doMes, _x.sv, _x.mesQI, _x.cno, _x.lli,) = _get_struct_2dfB2bB().unpack(str[start:end])\\n self.sv.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.battery_voltage,) = _struct_f.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.flight_mode_ll = str[start:end].decode('utf-8')\\n else:\\n self.flight_mode_ll = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.state_estimation = str[start:end].decode('utf-8')\\n else:\\n self.state_estimation = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.position_control = str[start:end].decode('utf-8')\\n else:\\n self.position_control = str[start:end]\\n _x = self\\n start = end\\n end += 10\\n (_x.serial_interface_enabled, _x.serial_interface_active, _x.flight_time, _x.cpu_load,) = _struct_2B2f.unpack(str[start:end])\\n self.serial_interface_enabled = bool(self.serial_interface_enabled)\\n self.serial_interface_active = bool(self.serial_interface_active)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.motor_status = str[start:end].decode('utf-8')\\n else:\\n self.motor_status = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.gps_status = str[start:end].decode('utf-8')\\n else:\\n self.gps_status = str[start:end]\\n _x = self\\n start = end\\n end += 9\\n (_x.gps_num_satellites, _x.have_SSDK_parameters, _x.timesync_offset,) = _struct_iBf.unpack(str[start:end])\\n self.have_SSDK_parameters = bool(self.have_SSDK_parameters)\\n start = end\\n end += 16\\n self.rc_channel = numpy.frombuffer(str[start:end], dtype=numpy.uint16, count=8)\\n start = end\\n end += 12\\n self.control_axes = numpy.frombuffer(str[start:end], dtype=numpy.uint16, count=6)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.control_buttons = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n _x = self\\n start = end\\n end += 48\\n (_x.latitude, _x.longitude, _x.altitude, _x.pressure_height, _x.velocity_x, _x.velocity_y,) = _struct_6d.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 29\\n (_x.status, _x.index, _x.range, _x.range_rate, _x.range_accl, _x.azimuth, _x.lateral_rate, _x.width, _x.is_mr_update, _x.is_lr_update, _x.amplitude,) = _get_struct_2B6f2Bb().unpack(str[start:end])\\n self.is_mr_update = bool(self.is_mr_update)\\n self.is_lr_update = bool(self.is_lr_update)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.vehicle_id is None:\\n self.vehicle_id = opil_v2.msg.Id()\\n if self.action_capability is None:\\n self.action_capability = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.vehicle_id.id,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.vehicle_id.description = str[start:end].decode('utf-8')\\n else:\\n self.vehicle_id.description = str[start:end]\\n _x = self\\n start = end\\n end += 84\\n (_x.left_size, _x.right_size, _x.front_size, _x.rear_size, _x.min_height, _x.max_height, _x.payload, _x.max_pos_x_vel, _x.max_neg_x_vel, _x.max_pos_x_acc, _x.max_neg_x_acc, _x.max_pos_y_vel, _x.max_neg_y_vel, _x.max_pos_y_acc, _x.max_neg_y_acc, _x.max_pos_ang_vel, _x.max_neg_ang_vel, _x.velocity_control_sensitivity, _x.min_turning_radius, _x.batt_capacity, _x.batt_max_voltage,) = _get_struct_21f().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.vehicle_type = str[start:end].decode('utf-8')\\n else:\\n self.vehicle_type = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.vendor = str[start:end].decode('utf-8')\\n else:\\n self.vendor = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.action_capability = []\\n for i in range(0, length):\\n val1 = opil_v2.msg.RobotAction()\\n _x = val1\\n start = end\\n end += 2\\n (_x.category, _x.action,) = _get_struct_2B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.attributes = []\\n for i in range(0, length):\\n val2 = opil_v2.msg.Tuple()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.type = str[start:end].decode('utf-8')\\n else:\\n val2.type = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.value = str[start:end].decode('utf-8')\\n else:\\n val2.value = str[start:end]\\n val1.attributes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.description = str[start:end].decode('utf-8')\\n else:\\n val1.description = str[start:end]\\n self.action_capability.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 36\\n (_x.mask, _x.dynModel, _x.fixMode, _x.fixedAlt, _x.fixedAltVar, _x.minElev, _x.drLimit, _x.pDop, _x.tDop, _x.pAcc, _x.tAcc, _x.staticHoldThresh, _x.dgpsTimeOut, _x.reserved2, _x.reserved3, _x.reserved4,) = _get_struct_H2BiIbB4H2B3I().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 57\\n (_x.decision, _x.distance, _x.oriX, _x.oriY, _x.oriZ, _x.placX, _x.placY, _x.placZ,) = _get_struct_b7d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 8\\n (self.i,) = _struct_d.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.icon is None:\\n self.icon = rocon_std_msgs.msg.Icon()\\n if self.remappings is None:\\n self.remappings = None\\n if self.pairing is None:\\n self.pairing = rocon_interaction_msgs.msg.Pairing()\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.name = str[start:end].decode('utf-8')\\n else:\\n self.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.compatibility = str[start:end].decode('utf-8')\\n else:\\n self.compatibility = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.display_name = str[start:end].decode('utf-8')\\n else:\\n self.display_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.description = str[start:end].decode('utf-8')\\n else:\\n self.description = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.namespace = str[start:end].decode('utf-8')\\n else:\\n self.namespace = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.icon.resource_name = str[start:end].decode('utf-8')\\n else:\\n self.icon.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.icon.format = str[start:end].decode('utf-8')\\n else:\\n self.icon.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.icon.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.remappings = []\\n for i in range(0, length):\\n val1 = rocon_std_msgs.msg.Remapping()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.remap_from = str[start:end].decode('utf-8')\\n else:\\n val1.remap_from = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.remap_to = str[start:end].decode('utf-8')\\n else:\\n val1.remap_to = str[start:end]\\n self.remappings.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.parameters = str[start:end].decode('utf-8')\\n else:\\n self.parameters = str[start:end]\\n start = end\\n end += 4\\n (self.max,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.pairing.rapp = str[start:end].decode('utf-8')\\n else:\\n self.pairing.rapp = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.pairing.remappings = []\\n for i in range(0, length):\\n val1 = rocon_std_msgs.msg.Remapping()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.remap_from = str[start:end].decode('utf-8')\\n else:\\n val1.remap_from = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.remap_to = str[start:end].decode('utf-8')\\n else:\\n val1.remap_to = str[start:end]\\n self.pairing.remappings.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.pairing.parameters = []\\n for i in range(0, length):\\n val1 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.key = str[start:end].decode('utf-8')\\n else:\\n val1.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.value = str[start:end].decode('utf-8')\\n else:\\n val1.value = str[start:end]\\n self.pairing.parameters.append(val1)\\n start = end\\n end += 4\\n (self.hash,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.role = str[start:end].decode('utf-8')\\n else:\\n self.role = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.x is None:\\n self.x = geometry_msgs.msg.PoseStamped()\\n if self.x_desi is None:\\n self.x_desi = geometry_msgs.msg.PoseStamped()\\n if self.x_desi_filtered is None:\\n self.x_desi_filtered = geometry_msgs.msg.PoseStamped()\\n if self.x_err is None:\\n self.x_err = geometry_msgs.msg.Twist()\\n if self.xd is None:\\n self.xd = geometry_msgs.msg.Twist()\\n if self.xd_desi is None:\\n self.xd_desi = geometry_msgs.msg.Twist()\\n if self.F is None:\\n self.F = geometry_msgs.msg.Wrench()\\n if self.J is None:\\n self.J = std_msgs.msg.Float64MultiArray()\\n if self.N is None:\\n self.N = std_msgs.msg.Float64MultiArray()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x_desi.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x_desi.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x_desi_filtered.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x_desi_filtered.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 248\\n (_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z,) = _get_struct_31d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau_pose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau_posture = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.J.layout.dim = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.MultiArrayDimension()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.label = str[start:end].decode('utf-8')\\n else:\\n val1.label = str[start:end]\\n _x = val1\\n start = end\\n end += 8\\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\\n self.J.layout.dim.append(val1)\\n start = end\\n end += 4\\n (self.J.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.J.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.N.layout.dim = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.MultiArrayDimension()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.label = str[start:end].decode('utf-8')\\n else:\\n val1.label = str[start:end]\\n _x = val1\\n start = end\\n end += 8\\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\\n self.N.layout.dim.append(val1)\\n start = end\\n end += 4\\n (self.N.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.N.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.model is None:\\n self.model = articulation_msgs.msg.ModelMsg()\\n if self.data is None:\\n self.data = articulation_msgs.msg.ModelMsg()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.model.header.seq, _x.model.header.stamp.secs, _x.model.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model.name = str[start:end].decode('utf-8')\\n else:\\n self.model.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.model.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.model.track.header.seq, _x.model.track.header.stamp.secs, _x.model.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v43 = val1.position\\n _x = _v43\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v44 = val1.orientation\\n _x = _v44\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v45 = val1.stamp\\n _x = _v45\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.model.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v46 = val1.position\\n _x = _v46\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v47 = val1.orientation\\n _x = _v47\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v48 = val1.position\\n _x = _v48\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v49 = val1.orientation\\n _x = _v49\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.model.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n self.model.track.channels.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data.header.seq, _x.data.header.stamp.secs, _x.data.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data.name = str[start:end].decode('utf-8')\\n else:\\n self.data.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.data.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data.track.header.seq, _x.data.track.header.stamp.secs, _x.data.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v50 = val1.position\\n _x = _v50\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v51 = val1.orientation\\n _x = _v51\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v52 = val1.stamp\\n _x = _v52\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.data.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v53 = val1.position\\n _x = _v53\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v54 = val1.orientation\\n _x = _v54\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v55 = val1.position\\n _x = _v55\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v56 = val1.orientation\\n _x = _v56\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.data.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n self.data.track.channels.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.model_aligned is None:\\n self.model_aligned = articulation_msgs.msg.ModelMsg()\\n if self.data_aligned is None:\\n self.data_aligned = articulation_msgs.msg.ModelMsg()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model_aligned.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.name = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.model_aligned.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model_aligned.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v99 = val1.position\\n _x = _v99\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v100 = val1.orientation\\n _x = _v100\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v101 = val1.stamp\\n _x = _v101\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.model_aligned.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v102 = val1.position\\n _x = _v102\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v103 = val1.orientation\\n _x = _v103\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v104 = val1.position\\n _x = _v104\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v105 = val1.orientation\\n _x = _v105\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.model_aligned.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n self.model_aligned.track.channels.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data_aligned.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.name = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.data_aligned.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data_aligned.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v106 = val1.position\\n _x = _v106\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v107 = val1.orientation\\n _x = _v107\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v108 = val1.stamp\\n _x = _v108\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.data_aligned.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v109 = val1.position\\n _x = _v109\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v110 = val1.orientation\\n _x = _v110\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v111 = val1.position\\n _x = _v111\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v112 = val1.orientation\\n _x = _v112\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.data_aligned.track.pose_flags = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n self.data_aligned.track.channels.append(val1)\\n start = end\\n end += 72\\n self.R = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\\n start = end\\n end += 24\\n self.T = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 12\\n (_x.dist_rot, _x.dist_trans,) = _struct_df.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 34\\n (_x.sensorId, _x.id, _x.length, _x.width, _x.measstat, _x.existprob, _x.dynprop, _x.latdisp, _x.longdisp, _x.relxdot, _x.relxddot, _x.latspeed, _x.obsprob, _x.rollcount, _x.rcs,) = _struct_H6B5f2Bf.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.tsp_turtles = str[start:end].decode('utf-8')\\n else:\\n self.tsp_turtles = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.conveyor_turtle = str[start:end].decode('utf-8')\\n else:\\n self.conveyor_turtle = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.catch_turtle = str[start:end].decode('utf-8')\\n else:\\n self.catch_turtle = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 56\\n (_x.command, _x.set_num, _x.paraset_byte54, _x.paraset_byte53, _x.paraset_byte52, _x.paraset_byte51, _x.paraset_byte50, _x.paraset_byte49, _x.paraset_byte48, _x.paraset_byte47, _x.paraset_byte46, _x.paraset_byte45, _x.paraset_byte44, _x.paraset_byte43, _x.paraset_byte42, _x.paraset_byte41, _x.paraset_byte40, _x.paraset_byte39, _x.paraset_byte38, _x.paraset_byte37, _x.paraset_byte36, _x.paraset_byte35, _x.paraset_byte34, _x.paraset_byte33, _x.paraset_byte32, _x.paraset_byte31, _x.paraset_byte30, _x.paraset_byte29, _x.paraset_byte28, _x.paraset_byte27, _x.paraset_byte26, _x.paraset_byte25, _x.paraset_byte24, _x.paraset_byte23, _x.paraset_byte22, _x.paraset_byte21, _x.paraset_byte20, _x.paraset_byte19, _x.paraset_byte18, _x.paraset_byte17, _x.paraset_byte16, _x.paraset_byte15, _x.paraset_byte14, _x.paraset_byte13, _x.paraset_byte12, _x.paraset_byte11, _x.paraset_byte10, _x.paraset_byte9, _x.paraset_byte8, _x.paraset_byte7, _x.paraset_byte6, _x.paraset_byte5, _x.paraset_byte4, _x.paraset_byte3, _x.paraset_byte2, _x.paraset_byte1,) = _get_struct_56B().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.prefixes is None:\\n self.prefixes = None\\n if self.address is None:\\n self.address = knowrob_semantic_map_msgs.msg.SemMapAddress()\\n if self.objects is None:\\n self.objects = None\\n if self.actions is None:\\n self.actions = None\\n if self.object_properties is None:\\n self.object_properties = None\\n if self.data_properties is None:\\n self.data_properties = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.namespace = str[start:end].decode('utf-8')\\n else:\\n self.namespace = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.id = str[start:end].decode('utf-8')\\n else:\\n self.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.prefixes = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapPrefix()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.prefix = str[start:end].decode('utf-8')\\n else:\\n val1.prefix = str[start:end]\\n self.prefixes.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.imports = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.imports.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.room_nr = str[start:end].decode('utf-8')\\n else:\\n self.address.room_nr = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.floor_nr = str[start:end].decode('utf-8')\\n else:\\n self.address.floor_nr = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.street_nr = str[start:end].decode('utf-8')\\n else:\\n self.address.street_nr = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.street_name = str[start:end].decode('utf-8')\\n else:\\n self.address.street_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.address.city_name = str[start:end].decode('utf-8')\\n else:\\n self.address.city_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.objects = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapObject()\\n _v19 = val1.header\\n start = end\\n end += 4\\n (_v19.seq,) = _struct_I.unpack(str[start:end])\\n _v20 = _v19.stamp\\n _x = _v20\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v19.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v19.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.type = str[start:end].decode('utf-8')\\n else:\\n val1.type = str[start:end]\\n _v21 = val1.size\\n _x = _v21\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\\n _v22 = val1.pose\\n _v23 = _v22.position\\n _x = _v23\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v24 = _v22.orientation\\n _x = _v24\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.part_of = str[start:end].decode('utf-8')\\n else:\\n val1.part_of = str[start:end]\\n self.objects.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.actions = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapAction()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.type = str[start:end].decode('utf-8')\\n else:\\n val1.type = str[start:end]\\n start = end\\n end += 1\\n (val1.asserted,) = _struct_B.unpack(str[start:end])\\n val1.asserted = bool(val1.asserted)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.object_acted_on = str[start:end].decode('utf-8')\\n else:\\n val1.object_acted_on = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.subactions = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.subactions.append(val2)\\n _x = val1\\n start = end\\n end += 2\\n (_x.quantification, _x.unordered,) = _struct_bB.unpack(str[start:end])\\n val1.unordered = bool(val1.unordered)\\n self.actions.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.object_properties = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapObjectProperty()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.subject = str[start:end].decode('utf-8')\\n else:\\n val1.subject = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.object = str[start:end].decode('utf-8')\\n else:\\n val1.object = str[start:end]\\n self.object_properties.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_properties = []\\n for i in range(0, length):\\n val1 = knowrob_semantic_map_msgs.msg.SemMapDataProperty()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.subject = str[start:end].decode('utf-8')\\n else:\\n val1.subject = str[start:end]\\n start = end\\n end += 1\\n (val1.value_type,) = _struct_B.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.value = str[start:end].decode('utf-8')\\n else:\\n val1.value = str[start:end]\\n self.data_properties.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.type is None:\\n self.type = std_msgs.msg.String()\\n if self.parent_name is None:\\n self.parent_name = std_msgs.msg.String()\\n if self.name is None:\\n self.name = std_msgs.msg.String()\\n if self.pose is None:\\n self.pose = geometry_msgs.msg.Pose()\\n if self.sensed_objects is None:\\n self.sensed_objects = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.sim_step,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.type.data = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.type.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.parent_name.data = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.parent_name.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.name.data = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.name.data = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.wall_time, _x.sim_time, _x.pose.position.x, _x.pose.position.y, _x.pose.position.z, _x.pose.orientation.x, _x.pose.orientation.y, _x.pose.orientation.z, _x.pose.orientation.w, _x.count,) = _get_struct_2f7dI().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sB'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.triggered = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\\n self.triggered = list(map(bool, self.triggered))\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.range = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.measurement = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.sensed_objects = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.String()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.data = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1.data = str[start:end]\\n self.sensed_objects.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.sensed_objects_map = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 100\\n (_x.id, _x.age, _x.velocidad_relativa_x, _x.velocidad_relativa_y, _x.velocidad_absoluta_x, _x.velocidad_absoluta_y, _x.velocidad_absoluta_sigma_x, _x.velocidad_absoluta_sigma_y, _x.bounding_box_centro_x, _x.bounding_box_centro_y, _x.bounding_box_largo, _x.bounding_box_ancho, _x.object_box_centro_x, _x.object_box_centro_y, _x.object_box_orientacion, _x.object_box_size_x, _x.object_box_size_y, _x.clasificacion, _x.clasificacion_age, _x.clasificacion_certeza, _x.punto_cercano_x, _x.punto_cercano_y, _x.punto_referencia_x, _x.punto_referencia_y, _x.punto_referencia_sigma_x, _x.punto_referencia_sigma_y,) = _get_struct_h16fh8f().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.RPY is None:\\n self.RPY = geometry_msgs.msg.Vector3()\\n if self.LLA is None:\\n self.LLA = geometry_msgs.msg.Vector3()\\n if self.NedVel is None:\\n self.NedVel = geometry_msgs.msg.Vector3()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 116\\n (_x.Time, _x.Week, _x.Status, _x.RPY.x, _x.RPY.y, _x.RPY.z, _x.LLA.x, _x.LLA.y, _x.LLA.z, _x.NedVel.x, _x.NedVel.y, _x.NedVel.z, _x.YawUncertainty, _x.PitchUncertainty, _x.RollUncertainty, _x.PosUncertainty, _x.VelUncertainty, _x.SyncInTime, _x.SyncInCount,) = _get_struct_d2H9d5fdI().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 112\\n (_x.u0, _x.h0, _x.vl, _x.i0, _x.wv, _x.wh, _x.wi, _x.h_stop, _x.T_gap, _x.v_max, _x.v_min, _x.h_min, _x.i_max, _x.i_min,) = _struct_14d.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.pointA is None:\\n self.pointA = nubot_common.msg.Point2d()\\n if self.pointB is None:\\n self.pointB = nubot_common.msg.Point2d()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 26\\n (_x.MatchMode, _x.MatchType, _x.TestMode, _x.pointA.x, _x.pointA.y, _x.pointB.x, _x.pointB.y, _x.angleA, _x.angleB, _x.idA, _x.idB, _x.kickforce,) = _get_struct_3B4f2h3B().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.pose is None:\\n self.pose = geometry_msgs.msg.PoseWithCovariance()\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w,) = _get_struct_Q8d().unpack(str[start:end])\\n start = end\\n end += 288\\n self.pose.covariance = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=36)\\n _x = self\\n start = end\\n end += 40\\n (_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h,) = _get_struct_5d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.modality = str[start:end].decode('utf-8')\\n else:\\n self.modality = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.embed_vector = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg._Header.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 9\\n (_x.dvl_sts, _x.svs_sts, _x.fog_sts, _x.nav_sts, _x.bat_sts, _x.t_sts, _x.h_sts, _x.p_sts, _x.water_sts,) = _struct_9B.unpack(str[start:end])\\n self.dvl_sts = bool(self.dvl_sts)\\n self.svs_sts = bool(self.svs_sts)\\n self.fog_sts = bool(self.fog_sts)\\n self.nav_sts = bool(self.nav_sts)\\n self.bat_sts = bool(self.bat_sts)\\n self.t_sts = bool(self.t_sts)\\n self.h_sts = bool(self.h_sts)\\n self.p_sts = bool(self.p_sts)\\n self.water_sts = bool(self.water_sts)\\n return self\\n except struct.error as e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.predict is None:\\n self.predict = argus_msgs.msg.FilterPredictStep()\\n if self.update is None:\\n self.update = argus_msgs.msg.FilterUpdateStep()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 26\\n (_x.step_num, _x.info_type, _x.predict.step_dt, _x.predict.trans_jacobian.column_major, _x.predict.trans_jacobian.rows, _x.predict.trans_jacobian.cols,) = _get_struct_QBdB2I().unpack(str[start:end])\\n self.predict.trans_jacobian.column_major = bool(self.predict.trans_jacobian.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.predict.trans_jacobian.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.predict.trans_noise_cov.column_major, _x.predict.trans_noise_cov.rows, _x.predict.trans_noise_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.predict.trans_noise_cov.column_major = bool(self.predict.trans_noise_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.predict.trans_noise_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.predict.prior_state_cov.column_major, _x.predict.prior_state_cov.rows, _x.predict.prior_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.predict.prior_state_cov.column_major = bool(self.predict.prior_state_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.predict.prior_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.predict.post_state_cov.column_major, _x.predict.post_state_cov.rows, _x.predict.post_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.predict.post_state_cov.column_major = bool(self.predict.post_state_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.predict.post_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.update.prior_state_cov.column_major, _x.update.prior_state_cov.rows, _x.update.prior_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.prior_state_cov.column_major = bool(self.update.prior_state_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.prior_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.prior_obs_error = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.update.obs_error_cov.column_major, _x.update.obs_error_cov.rows, _x.update.obs_error_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.obs_error_cov.column_major = bool(self.update.obs_error_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.obs_error_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.update.post_state_cov.column_major, _x.update.post_state_cov.rows, _x.update.post_state_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.post_state_cov.column_major = bool(self.update.post_state_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.post_state_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.state_delta = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.post_obs_error = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.update.obs_jacobian.column_major, _x.update.obs_jacobian.rows, _x.update.obs_jacobian.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.obs_jacobian.column_major = bool(self.update.obs_jacobian.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.obs_jacobian.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 9\\n (_x.update.obs_noise_cov.column_major, _x.update.obs_noise_cov.rows, _x.update.obs_noise_cov.cols,) = _get_struct_B2I().unpack(str[start:end])\\n self.update.obs_noise_cov.column_major = bool(self.update.obs_noise_cov.column_major)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.update.obs_noise_cov.data = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 1\\n (self.type,) = _struct_B.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model = str[start:end].decode('utf-8')\\n else:\\n self.model = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.head_version = str[start:end].decode('utf-8')\\n else:\\n self.head_version = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.body_version = str[start:end].decode('utf-8')\\n else:\\n self.body_version = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.arm_version = str[start:end].decode('utf-8')\\n else:\\n self.arm_version = str[start:end]\\n _x = self\\n start = end\\n end += 14\\n (_x.has_laser, _x.has_extended_arms, _x.number_of_legs, _x.number_of_arms, _x.number_of_hands,) = _struct_2B3i.unpack(str[start:end])\\n self.has_laser = bool(self.has_laser)\\n self.has_extended_arms = bool(self.has_extended_arms)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.base is None:\\n self.base = rwrc12_msgs.msg.CellBase()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.base.header.seq, _x.base.header.stamp.secs, _x.base.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.base.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.base.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 20\\n (_x.base.cell_width, _x.base.cell_height, _x.base.position.x, _x.base.position.y, _x.base.position.z,) = _struct_5f.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.base.points = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Point32()\\n _x = val1\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\\n self.base.points.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.base.intensity = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n start = end\\n end += 1\\n (self.base.cost,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.base.label = str[start:end].decode('utf-8')\\n else:\\n self.base.label = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.mean_height, _x.mean_intensity,) = _struct_2f.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.cond_transition is None:\\n self.cond_transition = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.state_path = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.state_path = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.state_class = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.state_class = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.initial_state_name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.initial_state_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.input_keys = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.input_keys.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.output_keys = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.output_keys.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.cond_outcome = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.cond_outcome.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.cond_transition = []\\n for i in range(0, length):\\n val1 = flexbe_msgs.msg.OutcomeCondition()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.state_name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val2 = str[start:end]\\n val1.state_name.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.state_outcome = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val2 = str[start:end]\\n val1.state_outcome.append(val2)\\n self.cond_transition.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.behavior_class = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.behavior_class = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.parameter_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.parameter_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.parameter_values = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.parameter_values.append(val1)\\n start = end\\n end += 8\\n self.position = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.outcomes = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.outcomes.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.transitions = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.transitions.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sb'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.autonomy = numpy.frombuffer(str[start:end], dtype=numpy.int8, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.userdata_keys = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.userdata_keys.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.userdata_remapping = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1 = str[start:end]\\n self.userdata_remapping.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 6\\n (_x.sbpl_wait_flag, _x.sbpl_present_x, _x.sbpl_present_y, _x.sbpl_new_x, _x.sbpl_new_y, _x.start_P3DX_motion,) = _struct_B4bB.unpack(str[start:end])\\n self.sbpl_wait_flag = bool(self.sbpl_wait_flag)\\n self.start_P3DX_motion = bool(self.start_P3DX_motion)\\n return self\\n except struct.error as e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n if python3:\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 86\\n (_x.sample_count, _x.ekf_roll, _x.ekf_pitch, _x.ekf_yaw, _x.ekf_lat, _x.ekf_lon, _x.ekf_alt, _x.ekf_vN, _x.ekf_vE, _x.ekf_vD, _x.ekf_vX, _x.ekf_vY, _x.ekf_vZ, _x.rad_gyro_X, _x.rad_gyro_Y, _x.rad_gyro_Z, _x.angular_acc_X, _x.angular_acc_Y, _x.angular_acc_Z, _x.alt_DVL,) = _get_struct_I3f2d13fH().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.dvl_error_code = str[start:end]\\n _x = self\\n start = end\\n end += 73\\n (_x.flag_to_check, _x.imu_deg_gyro_X, _x.imu_deg_gyro_Y, _x.imu_deg_gyro_Z, _x.imu_mag_X, _x.imu_mag_Y, _x.imu_mag_Z, _x.imu_acc_X, _x.imu_acc_Y, _x.imu_acc_Z, _x.gps_lat, _x.gps_lon, _x.gps_alt, _x.gps_vN, _x.gps_vE, _x.gps_vD, _x.dvl_vX, _x.dvl_vY, _x.dvl_vZ,) = _get_struct_B9f2i7f().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.actors is None:\\n self.actors = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.actors = []\\n for i in range(0, length):\\n val1 = nesfr3_msgs.msg.Actor()\\n _v25 = val1.header\\n start = end\\n end += 4\\n (_v25.seq,) = _get_struct_I().unpack(str[start:end])\\n _v26 = _v25.stamp\\n _x = _v26\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v25.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v25.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (val1.tracking_id,) = _get_struct_I().unpack(str[start:end])\\n _v27 = val1.pose\\n _v28 = _v27.pose\\n _v29 = _v28.position\\n _x = _v29\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v30 = _v28.orientation\\n _x = _v30\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 288\\n _v27.covariance = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=36)\\n val1.points = []\\n for i in range(0, 18):\\n val2 = nesfr3_msgs.msg.PointWithConfidence()\\n _v31 = val2.point\\n _x = _v31\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val2.confidence,) = _get_struct_f().unpack(str[start:end])\\n val1.points.append(val2)\\n _v32 = val1.nose_point\\n _x = _v32\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.actors.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 56\\n (_x.s_x, _x.s_y, _x.f_x, _x.f_y, _x.step_size, _x.bias_param, _x.max_iteration,) = _struct_7q.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 1\\n (self.success,) = _struct_B.unpack(str[start:end])\\n self.success = bool(self.success)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.c0 is None:\\n self.c0 = bh_motion.msg.Vector3()\\n if self.c1 is None:\\n self.c1 = bh_motion.msg.Vector3()\\n if self.c2 is None:\\n self.c2 = bh_motion.msg.Vector3()\\n end = 0\\n _x = self\\n start = end\\n end += 36\\n (_x.c0.x, _x.c0.y, _x.c0.z, _x.c1.x, _x.c1.y, _x.c1.z, _x.c2.x, _x.c2.y, _x.c2.z,) = _struct_9f.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.canmsg = str[start:end].decode('utf-8')\\n else:\\n self.canmsg = str[start:end]\\n _x = self\\n start = end\\n end += 30\\n (_x.track_id, _x.track_lat_rate, _x.track_group_changed, _x.track_status, _x.track_angle, _x.track_range, _x.track_bridge_object, _x.track_rolling_count, _x.track_width, _x.track_range_accel, _x.track_med_range_mode, _x.track_range_rate,) = _get_struct_Bf2B2f2B2fBf().unpack(str[start:end])\\n self.track_group_changed = bool(self.track_group_changed)\\n self.track_bridge_object = bool(self.track_bridge_object)\\n self.track_rolling_count = bool(self.track_rolling_count)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.health, _x.utcA0, _x.utcA1, _x.utcTOW, _x.utcWNT, _x.utcLS, _x.utcWNF, _x.utcDN, _x.utcLSF, _x.utcSpare, _x.klobA0, _x.klobA1, _x.klobA2, _x.klobA3, _x.klobB0, _x.klobB1, _x.klobB2, _x.klobB3, _x.flags,) = _get_struct_I2di6h8fI().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 16\\n (_x.FL_vel, _x.FR_vel, _x.BL_vel, _x.BR_vel,) = _struct_4i.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.hlive, _x.hstate, _x.hfinished, _x.pressure, _x.c1, _x.c2, _x.c3, _x.c4, _x.c5, _x.c6, _x.c7, _x.c8,) = _struct_12B.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 24\\n (_x.sysid, _x.compid, _x.limits_state, _x.last_trigger, _x.last_action, _x.last_recovery, _x.last_clear, _x.breach_count, _x.mods_enabled, _x.mods_required, _x.mods_triggered,) = _struct_3B4IH3B.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.nodes is None:\\n self.nodes = None\\n end = 0\\n _x = self\\n start = end\\n end += 14\\n (_x.role, _x.id, _x.local_time, _x.system_time, _x.voltage,) = _get_struct_2B2If().unpack(str[start:end])\\n start = end\\n end += 12\\n self.pos_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\\n start = end\\n end += 12\\n self.eop_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\\n start = end\\n end += 12\\n self.vel_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\\n start = end\\n end += 12\\n self.angle_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\\n start = end\\n end += 16\\n self.quaternion = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=4)\\n start = end\\n end += 12\\n self.imu_gyro_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\\n start = end\\n end += 12\\n self.imu_acc_3d = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.nodes = []\\n for i in range(0, length):\\n val1 = nlink_parser.msg.LinktrackNode2()\\n _x = val1\\n start = end\\n end += 14\\n (_x.role, _x.id, _x.dis, _x.fp_rssi, _x.rx_rssi,) = _get_struct_2B3f().unpack(str[start:end])\\n self.nodes.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.Hlines is None:\\n self.Hlines = None\\n if self.Vlines is None:\\n self.Vlines = None\\n if self.regions is None:\\n self.regions = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 4\\n (_x.image_width, _x.image_height,) = _get_struct_2H().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.Hlines = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Point()\\n _x = val1\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.Hlines.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.Vlines = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Point()\\n _x = val1\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.Vlines.append(val1)\\n start = end\\n end += 2\\n (self.PFPS,) = _get_struct_H().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.regions = []\\n for i in range(0, length):\\n val1 = cooperative_driving_vision.msg.Region()\\n _v7 = val1.color\\n _x = _v7\\n start = end\\n end += 16\\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\\n _v8 = val1.moment\\n _x = _v8\\n start = end\\n end += 40\\n (_x.m00, _x.m10, _x.m01, _x.m11, _x.m20, _x.m02, _x.m21, _x.m12, _x.m30, _x.m03,) = _get_struct_10f().unpack(str[start:end])\\n self.regions.append(val1)\\n _x = self\\n start = end\\n end += 4\\n (_x.box_width, _x.box_height,) = _get_struct_2H().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.position is None:\\n self.position = pcl_segment.msg.positionRPY()\\n end = 0\\n _x = self\\n start = end\\n end += 57\\n (_x.position.x, _x.position.y, _x.position.z, _x.position.roll, _x.position.pitch, _x.position.yaw, _x.position.stamp.secs, _x.position.stamp.nsecs, _x.is_Known,) = _get_struct_6d2IB().unpack(str[start:end])\\n self.is_Known = bool(self.is_Known)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 142\\n (_x.Timestamp_sec, _x.Timestamp_nsec, _x.Roll, _x.Pitch, _x.Yaw, _x.Wx, _x.Wy, _x.Wz, _x.AcelX, _x.AcelY, _x.AcelZ, _x.VelN, _x.VelE, _x.VelZ, _x.GPSLong, _x.GPSLat, _x.GPSAlt, _x.Temp, _x.IMUTime, _x.BITStatus,) = _get_struct_2i16dih().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.lnid, _x.did, _x.blid, _x.flid, _x.bnid, _x.fnid, _x.jct, _x.blid2, _x.blid3, _x.blid4, _x.flid2, _x.flid3, _x.flid4, _x.clossid, _x.span, _x.lcnt, _x.lno,) = _struct_14id2i.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.localStamp is None:\\n self.localStamp = vehicle_msgs.msg.FrameStamp()\\n if self.globalStamp is None:\\n self.globalStamp = vehicle_msgs.msg.FrameStamp()\\n if self.camera is None:\\n self.camera = vehicle_msgs.msg.Camera()\\n if self.camera_obj is None:\\n self.camera_obj = None\\n if self.camera_lane is None:\\n self.camera_lane = vehicle_msgs.msg.Camera_Lane()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 16\\n (_x.messageID, _x.localStamp.header.seq, _x.localStamp.header.stamp.secs, _x.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.localStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.localStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.localStamp.time, _x.localStamp.lat, _x.localStamp.lng, _x.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.localStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.localStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.localStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.localStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 12\\n (_x.globalStamp.header.seq, _x.globalStamp.header.stamp.secs, _x.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.globalStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.globalStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.globalStamp.time, _x.globalStamp.lat, _x.globalStamp.lng, _x.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.globalStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.globalStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.globalStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.globalStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 12\\n (_x.camera.header.seq, _x.camera.header.stamp.secs, _x.camera.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 16\\n (_x.camera.messageID, _x.camera.localStamp.header.seq, _x.camera.localStamp.header.stamp.secs, _x.camera.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera.localStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera.localStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.camera.localStamp.time, _x.camera.localStamp.lat, _x.camera.localStamp.lng, _x.camera.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera.localStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera.localStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera.localStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera.localStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 12\\n (_x.camera.globalStamp.header.seq, _x.camera.globalStamp.header.stamp.secs, _x.camera.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera.globalStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera.globalStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.camera.globalStamp.time, _x.camera.globalStamp.lat, _x.camera.globalStamp.lng, _x.camera.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera.globalStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera.globalStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera.globalStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera.globalStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 12\\n (_x.camera.camera_numobstacles, _x.camera.VehSpeed,) = _get_struct_id().unpack(str[start:end])\\n self.camera_obj = []\\n for i in range(0, 10):\\n val1 = vehicle_msgs.msg.Camera_Obj()\\n _v25 = val1.header\\n start = end\\n end += 4\\n (_v25.seq,) = _get_struct_I().unpack(str[start:end])\\n _v26 = _v25.stamp\\n _x = _v26\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v25.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v25.frame_id = str[start:end]\\n start = end\\n end += 4\\n (val1.messageID,) = _get_struct_i().unpack(str[start:end])\\n _v27 = val1.localStamp\\n _v28 = _v27.header\\n start = end\\n end += 4\\n (_v28.seq,) = _get_struct_I().unpack(str[start:end])\\n _v29 = _v28.stamp\\n _x = _v29\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v28.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v28.frame_id = str[start:end]\\n _x = _v27\\n start = end\\n end += 32\\n (_x.time, _x.lat, _x.lng, _x.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n _v27.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n _v27.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n _v27.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n _v27.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _v30 = val1.globalStamp\\n _v31 = _v30.header\\n start = end\\n end += 4\\n (_v31.seq,) = _get_struct_I().unpack(str[start:end])\\n _v32 = _v31.stamp\\n _x = _v32\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v31.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v31.frame_id = str[start:end]\\n _x = _v30\\n start = end\\n end += 32\\n (_x.time, _x.lat, _x.lng, _x.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n _v30.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n _v30.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n _v30.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n _v30.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = val1\\n start = end\\n end += 136\\n (_x.camera_obstacle_id, _x.camera_obstacleposx, _x.camera_obstacleposy, _x.blinkerInfo, _x.cut_in_and_out, _x.obstacle_type, _x.obstacle_status, _x.obstacle_valid, _x.obstacles_brake_lights, _x.obstacle_length, _x.obstacle_width, _x.obstacles_velx, _x.obstacleAge, _x.obstacleLane, _x.CIPVFlag, _x.RadarPosX, _x.RadarVelX, _x.RadarMatchConfidence, _x.MatcheRadarID, _x.obstacleAngleRate, _x.obstacles_velY, _x.object_Accel_X, _x.obstacleReplaced, _x.obstacleAngle,) = _get_struct_i2d6i3d3i2d2ididid().unpack(str[start:end])\\n self.camera_obj.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.camera_lane.header.seq, _x.camera_lane.header.stamp.secs, _x.camera_lane.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_lane.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera_lane.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 16\\n (_x.camera_lane.messageID, _x.camera_lane.localStamp.header.seq, _x.camera_lane.localStamp.header.stamp.secs, _x.camera_lane.localStamp.header.stamp.nsecs,) = _get_struct_i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_lane.localStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera_lane.localStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.camera_lane.localStamp.time, _x.camera_lane.localStamp.lat, _x.camera_lane.localStamp.lng, _x.camera_lane.localStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera_lane.localStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera_lane.localStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera_lane.localStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera_lane.localStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 12\\n (_x.camera_lane.globalStamp.header.seq, _x.camera_lane.globalStamp.header.stamp.secs, _x.camera_lane.globalStamp.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_lane.globalStamp.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.camera_lane.globalStamp.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 32\\n (_x.camera_lane.globalStamp.time, _x.camera_lane.globalStamp.lat, _x.camera_lane.globalStamp.lng, _x.camera_lane.globalStamp.height,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 24\\n self.camera_lane.globalStamp.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera_lane.globalStamp.orientation = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera_lane.globalStamp.linearSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.camera_lane.globalStamp.angularSpeed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n _x = self\\n start = end\\n end += 404\\n (_x.camera_lane.l_numoflaneline, _x.camera_lane.l_lanelineid, _x.camera_lane.l_lanepositon, _x.camera_lane.l_lanecurvature, _x.camera_lane.l_lanecurvaturederivative, _x.camera_lane.l_lane_type, _x.camera_lane.l_heading_angle, _x.camera_lane.l_lane_mark_color, _x.camera_lane.l_laneQuality, _x.camera_lane.l_laneWidthMarking, _x.camera_lane.l_laneViewRangStart, _x.camera_lane.l_laneViewRangEnd, _x.camera_lane.l_laneCrossing, _x.camera_lane.l_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.l_lanePRED_OTHER_SIDE, _x.camera_lane.l_lanePRED_OVERRIDE, _x.camera_lane.l_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.l_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.l_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.l_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.l_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.l_lanePRED_SOURCE_STD, _x.camera_lane.l_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.l_laneTCL, _x.camera_lane.r_numoflaneline, _x.camera_lane.r_lanelineid, _x.camera_lane.r_lanepositon, _x.camera_lane.r_lanecurvature, _x.camera_lane.r_lanecurvaturederivative, _x.camera_lane.r_lane_type, _x.camera_lane.r_heading_angle, _x.camera_lane.r_lane_mark_color, _x.camera_lane.r_laneQuality, _x.camera_lane.r_laneWidthMarking, _x.camera_lane.r_laneViewRangStart, _x.camera_lane.r_laneViewRangEnd, _x.camera_lane.r_laneCrossing, _x.camera_lane.r_lanePRED_DIST_BASED_EXTRAPOLATION, _x.camera_lane.r_lanePRED_OTHER_SIDE, _x.camera_lane.r_lanePRED_OVERRIDE, _x.camera_lane.r_lanePRED_OCCLUDED_LM_EXTRAPOLATION, _x.camera_lane.r_lanePRED_HEADWAY_ORIENTED, _x.camera_lane.r_lanePRED_SOURCE_DIVERGING_LANES, _x.camera_lane.r_lanePRED_SOURCE_GUARDRAIL_SHADOW, _x.camera_lane.r_lanePRED_SOURCE_HWE_SPAIN, _x.camera_lane.r_lanePRED_SOURCE_STD, _x.camera_lane.r_lanePRED_SOURCE_VRTL_MERGE, _x.camera_lane.r_laneTCL, _x.camera_lane.next_l_laneViewRangStart, _x.camera_lane.next_l_laneViewRangEnd, _x.camera_lane.next_l_numoflaneline, _x.camera_lane.next_l_lanelineid, _x.camera_lane.next_l_lanepositon, _x.camera_lane.next_l_lanecurvature, _x.camera_lane.next_l_lanecurvaturederivative, _x.camera_lane.next_l_lane_type, _x.camera_lane.next_l_heading_angle, _x.camera_lane.next_l_lane_mark_color, _x.camera_lane.next_l_laneQuality, _x.camera_lane.next_l_laneWidthMarking, _x.camera_lane.next_r_laneViewRangStart, _x.camera_lane.next_r_laneViewRangEnd, _x.camera_lane.next_r_numoflaneline, _x.camera_lane.next_r_lanelineid, _x.camera_lane.next_r_lanepositon, _x.camera_lane.next_r_lanecurvature, _x.camera_lane.next_r_lanecurvaturederivative, _x.camera_lane.next_r_lane_type, _x.camera_lane.next_r_heading_angle, _x.camera_lane.next_r_lane_mark_color, _x.camera_lane.next_r_laneQuality, _x.camera_lane.next_r_laneWidthMarking, _x.camera_lane.highwayConstructionArea, _x.camera_lane.highwayRoadType, _x.camera_lane.highwayHighwayExitRight, _x.camera_lane.highwayHighwayExitLeft, _x.camera_lane.highwayProbabilityLeftLane, _x.camera_lane.highwayProbabilityRightLane, _x.camera_lane.highwayDriving_peed_left_lane, _x.camera_lane.highwayDriving_peed_right_lane, _x.camera_lane.highwayprotocol_version,) = _get_struct_2i3did19i3did21i3did7i3did7i4di().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 32\\n (_x.distance_front, _x.angle_front, _x.distance_back, _x.angle_back, _x.turn_left,) = _struct_didid.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.turn_left_sensor = str[start:end]\\n start = end\\n end += 8\\n (self.turn_right,) = _struct_d.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.turn_right_sensor = str[start:end]\\n return self\\n except struct.error as e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg._Header.Header()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 51\\n (_x.temp_1_curr, _x.temp_1_min, _x.temp_1_max, _x.temp_2_curr, _x.temp_2_min, _x.temp_2_max, _x.temp_3_curr, _x.temp_3_min, _x.temp_3_max, _x.temp_4_curr, _x.temp_4_min, _x.temp_4_max, _x.temp_5_curr, _x.temp_5_min, _x.temp_5_max, _x.temp_6_curr, _x.temp_6_min, _x.temp_6_max, _x.akku_voltage_curr, _x.akku_voltage_min, _x.akku_voltage_max, _x.hals_motor_voltage_curr, _x.hals_motor_voltage_min, _x.hals_motor_voltage_max, _x.hals_logik_voltage_curr, _x.hals_logik_voltage_min, _x.hals_logik_voltage_max, _x.tablett_logik_voltage_curr, _x.tablett_logik_voltage_min, _x.tablett_logik_voltage_max, _x.arm_logik_voltage_curr, _x.arm_logik_voltage_min, _x.arm_logik_voltage_max, _x.tablett_motor_voltage_curr, _x.tablett_motor_voltage_min, _x.tablett_motor_voltage_max, _x.hals_motor_current_curr, _x.hals_motor_current_min, _x.hals_motor_current_max, _x.hals_logik_current_curr, _x.hals_logik_current_min, _x.hals_logik_current_max, _x.tablett_logik_current_curr, _x.tablett_logik_current_min, _x.tablett_logik_current_max, _x.arm_logik_current_curr, _x.arm_logik_current_min, _x.arm_logik_current_max, _x.tablett_motor_current_curr, _x.tablett_motor_current_min, _x.tablett_motor_current_max,) = _struct_51B.unpack(str[start:end])\\n return self\\n except struct.error, e:\\n raise roslib.message.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n if python3:\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.graspable_objects is None:\\n self.graspable_objects = None\\n if self.image is None:\\n self.image = sensor_msgs.msg.Image()\\n if self.camera_info is None:\\n self.camera_info = sensor_msgs.msg.CameraInfo()\\n if self.meshes is None:\\n self.meshes = None\\n if self.reference_to_camera is None:\\n self.reference_to_camera = geometry_msgs.msg.Pose()\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.graspable_objects = []\\n for i in range(0, length):\\n val1 = manipulation_msgs.msg.GraspableObject()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.reference_frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1.reference_frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.potential_models = []\\n for i in range(0, length):\\n val2 = household_objects_database_msgs.msg.DatabaseModelPose()\\n start = end\\n end += 4\\n (val2.model_id,) = _get_struct_i().unpack(str[start:end])\\n _v94 = val2.type\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v94.key = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v94.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v94.db = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v94.db = str[start:end]\\n _v95 = val2.pose\\n _v96 = _v95.header\\n start = end\\n end += 4\\n (_v96.seq,) = _get_struct_I().unpack(str[start:end])\\n _v97 = _v96.stamp\\n _x = _v97\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v96.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v96.frame_id = str[start:end]\\n _v98 = _v95.pose\\n _v99 = _v98.position\\n _x = _v99\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v100 = _v98.orientation\\n _x = _v100\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val2.confidence,) = _get_struct_f().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.detector_name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val2.detector_name = str[start:end]\\n val1.potential_models.append(val2)\\n _v101 = val1.cluster\\n _v102 = _v101.header\\n start = end\\n end += 4\\n (_v102.seq,) = _get_struct_I().unpack(str[start:end])\\n _v103 = _v102.stamp\\n _x = _v103\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v102.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v102.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v101.points = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Point32()\\n _x = val3\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _get_struct_3f().unpack(str[start:end])\\n _v101.points.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v101.channels = []\\n for i in range(0, length):\\n val3 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val3.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n val3.values = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n _v101.channels.append(val3)\\n _v104 = val1.region\\n _v105 = _v104.cloud\\n _v106 = _v105.header\\n start = end\\n end += 4\\n (_v106.seq,) = _get_struct_I().unpack(str[start:end])\\n _v107 = _v106.stamp\\n _x = _v107\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v106.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v106.frame_id = str[start:end]\\n _x = _v105\\n start = end\\n end += 8\\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v105.fields = []\\n for i in range(0, length):\\n val4 = sensor_msgs.msg.PointField()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val4.name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val4.name = str[start:end]\\n _x = val4\\n start = end\\n end += 9\\n (_x.offset, _x.datatype, _x.count,) = _get_struct_IBI().unpack(str[start:end])\\n _v105.fields.append(val4)\\n _x = _v105\\n start = end\\n end += 9\\n (_x.is_bigendian, _x.point_step, _x.row_step,) = _get_struct_B2I().unpack(str[start:end])\\n _v105.is_bigendian = bool(_v105.is_bigendian)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v105.data = str[start:end]\\n start = end\\n end += 1\\n (_v105.is_dense,) = _get_struct_B().unpack(str[start:end])\\n _v105.is_dense = bool(_v105.is_dense)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n _v104.mask = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n _v108 = _v104.image\\n _v109 = _v108.header\\n start = end\\n end += 4\\n (_v109.seq,) = _get_struct_I().unpack(str[start:end])\\n _v110 = _v109.stamp\\n _x = _v110\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v109.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v109.frame_id = str[start:end]\\n _x = _v108\\n start = end\\n end += 8\\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v108.encoding = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v108.encoding = str[start:end]\\n _x = _v108\\n start = end\\n end += 5\\n (_x.is_bigendian, _x.step,) = _get_struct_BI().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v108.data = str[start:end]\\n _v111 = _v104.disparity_image\\n _v112 = _v111.header\\n start = end\\n end += 4\\n (_v112.seq,) = _get_struct_I().unpack(str[start:end])\\n _v113 = _v112.stamp\\n _x = _v113\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v112.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v112.frame_id = str[start:end]\\n _x = _v111\\n start = end\\n end += 8\\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v111.encoding = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v111.encoding = str[start:end]\\n _x = _v111\\n start = end\\n end += 5\\n (_x.is_bigendian, _x.step,) = _get_struct_BI().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v111.data = str[start:end]\\n _v114 = _v104.cam_info\\n _v115 = _v114.header\\n start = end\\n end += 4\\n (_v115.seq,) = _get_struct_I().unpack(str[start:end])\\n _v116 = _v115.stamp\\n _x = _v116\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v115.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v115.frame_id = str[start:end]\\n _x = _v114\\n start = end\\n end += 8\\n (_x.height, _x.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v114.distortion_model = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v114.distortion_model = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n _v114.D = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 72\\n _v114.K = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\\n start = end\\n end += 72\\n _v114.R = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\\n start = end\\n end += 96\\n _v114.P = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=12)\\n _x = _v114\\n start = end\\n end += 8\\n (_x.binning_x, _x.binning_y,) = _get_struct_2I().unpack(str[start:end])\\n _v117 = _v114.roi\\n _x = _v117\\n start = end\\n end += 17\\n (_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify,) = _get_struct_4IB().unpack(str[start:end])\\n _v117.do_rectify = bool(_v117.do_rectify)\\n _v118 = _v104.roi_box_pose\\n _v119 = _v118.header\\n start = end\\n end += 4\\n (_v119.seq,) = _get_struct_I().unpack(str[start:end])\\n _v120 = _v119.stamp\\n _x = _v120\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v119.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n _v119.frame_id = str[start:end]\\n _v121 = _v118.pose\\n _v122 = _v121.position\\n _x = _v122\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v123 = _v121.orientation\\n _x = _v123\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v124 = _v104.roi_box_dims\\n _x = _v124\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.collision_name = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n val1.collision_name = str[start:end]\\n self.graspable_objects.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.image.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.image.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.image.height, _x.image.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.image.encoding = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.image.encoding = str[start:end]\\n _x = self\\n start = end\\n end += 5\\n (_x.image.is_bigendian, _x.image.step,) = _get_struct_BI().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.image.data = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.camera_info.header.seq, _x.camera_info.header.stamp.secs, _x.camera_info.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_info.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.camera_info.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.camera_info.height, _x.camera_info.width,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.camera_info.distortion_model = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.camera_info.distortion_model = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n s = struct.Struct(pattern)\\n end += s.size\\n self.camera_info.D = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 72\\n self.camera_info.K = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\\n start = end\\n end += 72\\n self.camera_info.R = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)\\n start = end\\n end += 96\\n self.camera_info.P = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=12)\\n _x = self\\n start = end\\n end += 25\\n (_x.camera_info.binning_x, _x.camera_info.binning_y, _x.camera_info.roi.x_offset, _x.camera_info.roi.y_offset, _x.camera_info.roi.height, _x.camera_info.roi.width, _x.camera_info.roi.do_rectify,) = _get_struct_6IB().unpack(str[start:end])\\n self.camera_info.roi.do_rectify = bool(self.camera_info.roi.do_rectify)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.meshes = []\\n for i in range(0, length):\\n val1 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.triangles = []\\n for i in range(0, length):\\n val2 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val2.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val1.triangles.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.vertices = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Point()\\n _x = val2\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val1.vertices.append(val2)\\n self.meshes.append(val1)\\n _x = self\\n start = end\\n end += 56\\n (_x.reference_to_camera.position.x, _x.reference_to_camera.position.y, _x.reference_to_camera.position.z, _x.reference_to_camera.orientation.x, _x.reference_to_camera.orientation.y, _x.reference_to_camera.orientation.z, _x.reference_to_camera.orientation.w,) = _get_struct_7d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.Class = str[start:end].decode('utf-8')\\n else:\\n self.Class = str[start:end]\\n _x = self\\n start = end\\n end += 40\\n (_x.probability, _x.xmin, _x.ymin, _x.xmax, _x.ymax,) = _get_struct_d4q().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.p1 is None:\\n self.p1 = geometry_msgs.msg.PointStamped()\\n if self.p2 is None:\\n self.p2 = geometry_msgs.msg.PointStamped()\\n if self.p3 is None:\\n self.p3 = geometry_msgs.msg.PointStamped()\\n if self.p4 is None:\\n self.p4 = geometry_msgs.msg.PointStamped()\\n end = 0\\n _x = self\\n start = end\\n end += 16\\n (_x.s1, _x.s2, _x.s3, _x.s4, _x.p1.header.seq, _x.p1.header.stamp.secs, _x.p1.header.stamp.nsecs,) = _struct_4B3I.unpack(str[start:end])\\n self.s1 = bool(self.s1)\\n self.s2 = bool(self.s2)\\n self.s3 = bool(self.s3)\\n self.s4 = bool(self.s4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.p1.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.p1.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 36\\n (_x.p1.point.x, _x.p1.point.y, _x.p1.point.z, _x.p2.header.seq, _x.p2.header.stamp.secs, _x.p2.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.p2.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.p2.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 36\\n (_x.p2.point.x, _x.p2.point.y, _x.p2.point.z, _x.p3.header.seq, _x.p3.header.stamp.secs, _x.p3.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.p3.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.p3.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 36\\n (_x.p3.point.x, _x.p3.point.y, _x.p3.point.z, _x.p4.header.seq, _x.p4.header.stamp.secs, _x.p4.header.stamp.nsecs,) = _struct_3d3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.p4.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.p4.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 24\\n (_x.p4.point.x, _x.p4.point.y, _x.p4.point.z,) = _struct_3d.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 69\\n (_x.Timestamp_sec, _x.Timestamp_nsec, _x.IdModulo, _x.InputVolA, _x.InputVolB, _x.InputCorrA, _x.InputCorrB, _x.OutputAnlg1, _x.OutputAnlg2, _x.InputDig1, _x.InputDig2, _x.InputDig3, _x.InputDig4, _x.OutputDig1, _x.OutputDig2, _x.OutputDig3, _x.OutputDig4, _x.OutputDig5, _x.OutputDig6, _x.OutputDig7, _x.OutputDig8,) = _get_struct_2ib6d12B().unpack(str[start:end])\\n self.InputDig1 = bool(self.InputDig1)\\n self.InputDig2 = bool(self.InputDig2)\\n self.InputDig3 = bool(self.InputDig3)\\n self.InputDig4 = bool(self.InputDig4)\\n self.OutputDig1 = bool(self.OutputDig1)\\n self.OutputDig2 = bool(self.OutputDig2)\\n self.OutputDig3 = bool(self.OutputDig3)\\n self.OutputDig4 = bool(self.OutputDig4)\\n self.OutputDig5 = bool(self.OutputDig5)\\n self.OutputDig6 = bool(self.OutputDig6)\\n self.OutputDig7 = bool(self.OutputDig7)\\n self.OutputDig8 = bool(self.OutputDig8)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 40\\n (_x.h_min, _x.h_max, _x.s_min, _x.s_max, _x.v_min, _x.v_max,) = _get_struct_2I4d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.pan is None:\\n self.pan = movo_msgs.msg.PanTiltActuatorFdbk()\\n if self.tilt is None:\\n self.tilt = movo_msgs.msg.PanTiltActuatorFdbk()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.pan.header.seq, _x.pan.header.stamp.secs, _x.pan.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.pan.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.pan.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 64\\n (_x.pan.current, _x.pan.pos_rad, _x.pan.vel_rps, _x.pan.torque_nm, _x.pan.pwm, _x.pan.encoder_rad, _x.pan.accel.x, _x.pan.accel.y, _x.pan.accel.z, _x.pan.temperature_degC, _x.tilt.header.seq, _x.tilt.header.stamp.secs, _x.tilt.header.stamp.nsecs,) = _struct_6f3df3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.tilt.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.tilt.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 52\\n (_x.tilt.current, _x.tilt.pos_rad, _x.tilt.vel_rps, _x.tilt.torque_nm, _x.tilt.pwm, _x.tilt.encoder_rad, _x.tilt.accel.x, _x.tilt.accel.y, _x.tilt.accel.z, _x.tilt.temperature_degC,) = _struct_6f3df.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.object1 = str[start:end].decode('utf-8')\\n else:\\n self.object1 = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.object2 = str[start:end].decode('utf-8')\\n else:\\n self.object2 = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.penetration_distance, _x.operation,) = _struct_di.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (self.numberOfTSPTurtles,) = _get_struct_i().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.des_gripper_pose is None:\\n self.des_gripper_pose = geometry_msgs.msg.PoseStamped()\\n if self.object_pose is None:\\n self.object_pose = geometry_msgs.msg.PoseStamped()\\n end = 0\\n _x = self\\n start = end\\n end += 20\\n (_x.manip_return_code, _x.object_grabber_return_code, _x.des_gripper_pose.header.seq, _x.des_gripper_pose.header.stamp.secs, _x.des_gripper_pose.header.stamp.nsecs,) = _get_struct_2i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.des_gripper_pose.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.des_gripper_pose.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 72\\n (_x.des_gripper_pose.pose.position.x, _x.des_gripper_pose.pose.position.y, _x.des_gripper_pose.pose.position.z, _x.des_gripper_pose.pose.orientation.x, _x.des_gripper_pose.pose.orientation.y, _x.des_gripper_pose.pose.orientation.z, _x.des_gripper_pose.pose.orientation.w, _x.object_finder_return_code, _x.object_pose.header.seq, _x.object_pose.header.stamp.secs, _x.object_pose.header.stamp.nsecs,) = _get_struct_7di3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.object_pose.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.object_pose.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 56\\n (_x.object_pose.pose.position.x, _x.object_pose.pose.position.y, _x.object_pose.pose.position.z, _x.object_pose.pose.orientation.x, _x.object_pose.pose.orientation.y, _x.object_pose.pose.orientation.z, _x.object_pose.pose.orientation.w,) = _get_struct_7d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.polygons is None:\\n self.polygons = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.polygons = []\\n for i in range(0, length):\\n val1 = cob_3d_mapping_msgs.msg.CurvedPolygon()\\n _v4 = val1.stamp\\n _x = _v4\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (val1.ID,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += 24\\n val1.parameter = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=6)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.score = []\\n for i in range(0, length):\\n val2 = cob_3d_mapping_msgs.msg.SimilarityScore()\\n _x = val2\\n start = end\\n end += 8\\n (_x.ID, _x.prob,) = _struct_If.unpack(str[start:end])\\n val1.score.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.polyline = []\\n for i in range(0, length):\\n val2 = cob_3d_mapping_msgs.msg.PolylinePoint()\\n _x = val2\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.edge_prob,) = _struct_3f.unpack(str[start:end])\\n val1.polyline.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.features = []\\n for i in range(0, length):\\n val2 = cob_3d_mapping_msgs.msg.Feature()\\n _x = val2\\n start = end\\n end += 16\\n (_x.x, _x.y, _x.z, _x.ID,) = _struct_3fI.unpack(str[start:end])\\n val1.features.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.energy = str[start:end].decode('utf-8')\\n else:\\n val1.energy = str[start:end]\\n start = end\\n end += 4\\n (val1.weight,) = _struct_f.unpack(str[start:end])\\n self.polygons.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.goal_id is None:\\n self.goal_id = actionlib_msgs.msg.GoalID()\\n if self.goal is None:\\n self.goal = coordinator.msg.ManipTaskGoal()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal_id.id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.goal_id.id = str[start:end]\\n _x = self\\n start = end\\n end += 20\\n (_x.goal.action_code, _x.goal.object_code, _x.goal.pickup_frame.header.seq, _x.goal.pickup_frame.header.stamp.secs, _x.goal.pickup_frame.header.stamp.nsecs,) = _get_struct_2i3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.pickup_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.goal.pickup_frame.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.goal.pickup_frame.pose.position.x, _x.goal.pickup_frame.pose.position.y, _x.goal.pickup_frame.pose.position.z, _x.goal.pickup_frame.pose.orientation.x, _x.goal.pickup_frame.pose.orientation.y, _x.goal.pickup_frame.pose.orientation.z, _x.goal.pickup_frame.pose.orientation.w, _x.goal.dropoff_frame.header.seq, _x.goal.dropoff_frame.header.stamp.secs, _x.goal.dropoff_frame.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.dropoff_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.goal.dropoff_frame.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.goal.dropoff_frame.pose.position.x, _x.goal.dropoff_frame.pose.position.y, _x.goal.dropoff_frame.pose.position.z, _x.goal.dropoff_frame.pose.orientation.x, _x.goal.dropoff_frame.pose.orientation.y, _x.goal.dropoff_frame.pose.orientation.z, _x.goal.dropoff_frame.pose.orientation.w, _x.goal.gripper_goal_frame.header.seq, _x.goal.gripper_goal_frame.header.stamp.secs, _x.goal.gripper_goal_frame.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.gripper_goal_frame.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')\\n else:\\n self.goal.gripper_goal_frame.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 60\\n (_x.goal.gripper_goal_frame.pose.position.x, _x.goal.gripper_goal_frame.pose.position.y, _x.goal.gripper_goal_frame.pose.position.z, _x.goal.gripper_goal_frame.pose.orientation.x, _x.goal.gripper_goal_frame.pose.orientation.y, _x.goal.gripper_goal_frame.pose.orientation.z, _x.goal.gripper_goal_frame.pose.orientation.w, _x.goal.perception_source,) = _get_struct_7di().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.name = str[start:end].decode('utf-8')\\n else:\\n self.name = str[start:end]\\n _x = self\\n start = end\\n end += 97\\n (_x.visible, _x.x, _x.y, _x.z, _x.u, _x.v, _x.w, _x.phi, _x.theta, _x.psi, _x.p, _x.q, _x.r,) = _struct_B12d.unpack(str[start:end])\\n self.visible = bool(self.visible)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.robot_id is None:\\n self.robot_id = opil_v2.msg.Id()\\n if self.agv_msg is None:\\n self.agv_msg = opil_v2.msg.RobotDescriptionAGV()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.robot_id.id,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.robot_id.description = str[start:end].decode('utf-8')\\n else:\\n self.robot_id.description = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.agv_msg.header.seq, _x.agv_msg.header.stamp.secs, _x.agv_msg.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.agv_msg.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.agv_msg.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.agv_msg.vehicle_id.id,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.agv_msg.vehicle_id.description = str[start:end].decode('utf-8')\\n else:\\n self.agv_msg.vehicle_id.description = str[start:end]\\n _x = self\\n start = end\\n end += 84\\n (_x.agv_msg.left_size, _x.agv_msg.right_size, _x.agv_msg.front_size, _x.agv_msg.rear_size, _x.agv_msg.min_height, _x.agv_msg.max_height, _x.agv_msg.payload, _x.agv_msg.max_pos_x_vel, _x.agv_msg.max_neg_x_vel, _x.agv_msg.max_pos_x_acc, _x.agv_msg.max_neg_x_acc, _x.agv_msg.max_pos_y_vel, _x.agv_msg.max_neg_y_vel, _x.agv_msg.max_pos_y_acc, _x.agv_msg.max_neg_y_acc, _x.agv_msg.max_pos_ang_vel, _x.agv_msg.max_neg_ang_vel, _x.agv_msg.velocity_control_sensitivity, _x.agv_msg.min_turning_radius, _x.agv_msg.batt_capacity, _x.agv_msg.batt_max_voltage,) = _get_struct_21f().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.agv_msg.vehicle_type = str[start:end].decode('utf-8')\\n else:\\n self.agv_msg.vehicle_type = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.agv_msg.vendor = str[start:end].decode('utf-8')\\n else:\\n self.agv_msg.vendor = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.agv_msg.action_capability = []\\n for i in range(0, length):\\n val1 = opil_v2.msg.RobotAction()\\n _x = val1\\n start = end\\n end += 2\\n (_x.category, _x.action,) = _get_struct_2B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.attributes = []\\n for i in range(0, length):\\n val2 = opil_v2.msg.Tuple()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.type = str[start:end].decode('utf-8')\\n else:\\n val2.type = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.value = str[start:end].decode('utf-8')\\n else:\\n val2.value = str[start:end]\\n val1.attributes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.description = str[start:end].decode('utf-8')\\n else:\\n val1.description = str[start:end]\\n self.agv_msg.action_capability.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 11\\n (_x.partial_view, _x.resolution, _x.type, _x.use_simple_occlusion, _x.add_point_colors,) = _struct_B2i2B.unpack(str[start:end])\\n self.partial_view = bool(self.partial_view)\\n self.use_simple_occlusion = bool(self.use_simple_occlusion)\\n self.add_point_colors = bool(self.add_point_colors)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 44\\n (_x.date, _x.time, _x.longitude_RTK, _x.latitude_RTK, _x.height_above_sea_RTK, _x.velocity_north, _x.velocity_east, _x.velocity_ground, _x.yaw, _x.position_flag, _x.yaw_flag,) = _struct_2I2d4fh2B.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.t_start is None:\\n self.t_start = genpy.Time()\\n if self.duration is None:\\n self.duration = genpy.Duration()\\n end = 0\\n _x = self\\n start = end\\n end += 65\\n (_x.x, _x.y, _x.z, _x.yaw, _x.v_des, _x.a_des, _x.t_start.secs, _x.t_start.nsecs, _x.duration.secs, _x.duration.nsecs, _x.relative,) = _get_struct_6d2I2iB().unpack(str[start:end])\\n self.relative = bool(self.relative)\\n self.t_start.canon()\\n self.duration.canon()\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 24\\n self.thumb = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.index = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.middle = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.ring = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.little = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 64\\n (_x.max_features, _x.window_size, _x.quality, _x.min_distance, _x.harris, _x.size_block, _x.pyramid_lvl, _x.mask_border,) = _get_struct_2q3d3q().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.accelerometer is None:\\n self.accelerometer = None\\n if self.gyro is None:\\n self.gyro = None\\n if self.orientation is None:\\n self.orientation = None\\n if self.led_color is None:\\n self.led_color = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.name.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.position_command = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.velocity_command = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.effort_command = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.accelerometer = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Vector3()\\n _x = val1\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.accelerometer.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.gyro = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Vector3()\\n _x = val1\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.gyro.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.orientation = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Quaternion()\\n _x = val1\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n self.orientation.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.deflection = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.deflection_velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_current = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_winding_current = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_sensor_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_winding_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_housing_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.board_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.processor_temperature = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.voltage = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.led_color = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.ColorRGBA()\\n _x = val1\\n start = end\\n end += 16\\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\\n self.led_color.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.sequence_number = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.receive_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.transmit_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.hardware_receive_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sQ'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.hardware_transmit_time = numpy.frombuffer(str[start:end], dtype=numpy.uint64, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 8\\n (self.time,) = _get_struct_d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.q_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.qd_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.qdd_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.i_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.m_target = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.q_actual = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.qd_actual = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.i_actual = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tool_acc_values = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tcp_force = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tool_vector = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tcp_speed = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 8\\n (self.digital_input_bits,) = _get_struct_d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.motor_temperatures = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 24\\n (_x.controller_timer, _x.test_value, _x.robot_mode,) = _get_struct_3d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.joint_modes = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.name = str[start:end].decode('utf-8')\\n else:\\n self.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.red_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.red_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.yellow_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.yellow_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.green_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.green_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.purple_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.purple_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.orange_u = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.orange_v = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.sensor_FL is None:\\n self.sensor_FL = sensor_msgs.msg.Range()\\n if self.sensor_FR is None:\\n self.sensor_FR = sensor_msgs.msg.Range()\\n if self.sensor_RR is None:\\n self.sensor_RR = sensor_msgs.msg.Range()\\n if self.sensor_RL is None:\\n self.sensor_RL = sensor_msgs.msg.Range()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.sensor_FL.header.seq, _x.sensor_FL.header.stamp.secs, _x.sensor_FL.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.sensor_FL.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.sensor_FL.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 29\\n (_x.sensor_FL.radiation_type, _x.sensor_FL.field_of_view, _x.sensor_FL.min_range, _x.sensor_FL.max_range, _x.sensor_FL.range, _x.sensor_FR.header.seq, _x.sensor_FR.header.stamp.secs, _x.sensor_FR.header.stamp.nsecs,) = _get_struct_B4f3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.sensor_FR.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.sensor_FR.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 29\\n (_x.sensor_FR.radiation_type, _x.sensor_FR.field_of_view, _x.sensor_FR.min_range, _x.sensor_FR.max_range, _x.sensor_FR.range, _x.sensor_RR.header.seq, _x.sensor_RR.header.stamp.secs, _x.sensor_RR.header.stamp.nsecs,) = _get_struct_B4f3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.sensor_RR.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.sensor_RR.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 29\\n (_x.sensor_RR.radiation_type, _x.sensor_RR.field_of_view, _x.sensor_RR.min_range, _x.sensor_RR.max_range, _x.sensor_RR.range, _x.sensor_RL.header.seq, _x.sensor_RL.header.stamp.secs, _x.sensor_RL.header.stamp.nsecs,) = _get_struct_B4f3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.sensor_RL.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.sensor_RL.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 17\\n (_x.sensor_RL.radiation_type, _x.sensor_RL.field_of_view, _x.sensor_RL.min_range, _x.sensor_RL.max_range, _x.sensor_RL.range,) = _get_struct_B4f().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.line is None:\\n self.line = None\\n if self.circle is None:\\n self.circle = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.id = str[start:end].decode('utf-8')\\n else:\\n self.id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.line = []\\n for i in range(0, length):\\n val1 = krssg_ssl_msgs.msg.sslDebug_Line()\\n _x = val1\\n start = end\\n end += 20\\n (_x.x1, _x.y1, _x.x2, _x.y2, _x.color,) = _get_struct_4if().unpack(str[start:end])\\n self.line.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.circle = []\\n for i in range(0, length):\\n val1 = krssg_ssl_msgs.msg.sslDebug_Circle()\\n _x = val1\\n start = end\\n end += 16\\n (_x.x, _x.y, _x.radius, _x.color,) = _get_struct_3if().unpack(str[start:end])\\n self.circle.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (self.yaw,) = _struct_f.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.objects is None:\\n self.objects = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.objects = []\\n for i in range(0, length):\\n val1 = vision_msgs.msg.ClassifiedObject()\\n _v10 = val1.header\\n start = end\\n end += 4\\n (_v10.seq,) = _struct_I.unpack(str[start:end])\\n _v11 = _v10.stamp\\n _x = _v11\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v10.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v10.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.object_class = str[start:end].decode('utf-8')\\n else:\\n val1.object_class = str[start:end]\\n start = end\\n end += 4\\n (val1.confidence,) = _struct_f.unpack(str[start:end])\\n _v12 = val1.roi\\n _x = _v12\\n start = end\\n end += 17\\n (_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify,) = _struct_4IB.unpack(str[start:end])\\n _v12.do_rectify = bool(_v12.do_rectify)\\n self.objects.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 24\\n (_x.major_ax, _x.minor_ax, _x.coup_strength, _x.limit_cycle, _x.forward_velocity, _x.curvature,) = _struct_6f.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.x_offset = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.y_offset = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.coupling_1 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.coupling_2 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.coupling_3 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.coupling_4 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.coupling_5 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.coupling_6 = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.obstacleinfo is None:\\n self.obstacleinfo = nubot_common.msg.ObstaclesInfo()\\n if self.oppinfo is None:\\n self.oppinfo = nubot_common.msg.ObstaclesInfo()\\n if self.robotinfo is None:\\n self.robotinfo = None\\n if self.ballinfo is None:\\n self.ballinfo = None\\n if self.coachinfo is None:\\n self.coachinfo = nubot_common.msg.CoachInfo()\\n if self.pass_cmd is None:\\n self.pass_cmd = nubot_common.msg.PassCommands()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.obstacleinfo.header.seq, _x.obstacleinfo.header.stamp.secs, _x.obstacleinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.obstacleinfo.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.obstacleinfo.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.obstacleinfo.pos = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.Point2d()\\n _x = val1\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n self.obstacleinfo.pos.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.obstacleinfo.polar_pos = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.PPoint()\\n _x = val1\\n start = end\\n end += 8\\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\\n self.obstacleinfo.polar_pos.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.oppinfo.header.seq, _x.oppinfo.header.stamp.secs, _x.oppinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.oppinfo.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.oppinfo.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.oppinfo.pos = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.Point2d()\\n _x = val1\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n self.oppinfo.pos.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.oppinfo.polar_pos = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.PPoint()\\n _x = val1\\n start = end\\n end += 8\\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\\n self.oppinfo.polar_pos.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.robotinfo = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.RobotInfo()\\n _v34 = val1.header\\n start = end\\n end += 4\\n (_v34.seq,) = _get_struct_I().unpack(str[start:end])\\n _v35 = _v34.stamp\\n _x = _v35\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v34.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v34.frame_id = str[start:end]\\n _x = val1\\n start = end\\n end += 28\\n (_x.AgentID, _x.targetNum1, _x.targetNum2, _x.targetNum3, _x.targetNum4, _x.staticpassNum, _x.staticcatchNum,) = _get_struct_7i().unpack(str[start:end])\\n _v36 = val1.pos\\n _x = _v36\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n _v37 = val1.heading\\n start = end\\n end += 4\\n (_v37.theta,) = _get_struct_f().unpack(str[start:end])\\n start = end\\n end += 4\\n (val1.vrot,) = _get_struct_f().unpack(str[start:end])\\n _v38 = val1.vtrans\\n _x = _v38\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n _x = val1\\n start = end\\n end += 9\\n (_x.iskick, _x.isvalid, _x.isstuck, _x.isdribble, _x.current_role, _x.role_time,) = _get_struct_5Bf().unpack(str[start:end])\\n val1.iskick = bool(val1.iskick)\\n val1.isvalid = bool(val1.isvalid)\\n val1.isstuck = bool(val1.isstuck)\\n val1.isdribble = bool(val1.isdribble)\\n _v39 = val1.target\\n _x = _v39\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n self.robotinfo.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.ballinfo = []\\n for i in range(0, length):\\n val1 = nubot_common.msg.BallInfo()\\n _v40 = val1.header\\n start = end\\n end += 4\\n (_v40.seq,) = _get_struct_I().unpack(str[start:end])\\n _v41 = _v40.stamp\\n _x = _v41\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v40.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v40.frame_id = str[start:end]\\n start = end\\n end += 4\\n (val1.ballinfostate,) = _get_struct_i().unpack(str[start:end])\\n _v42 = val1.pos\\n _x = _v42\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n _v43 = val1.real_pos\\n _x = _v43\\n start = end\\n end += 8\\n (_x.angle, _x.radius,) = _get_struct_2f().unpack(str[start:end])\\n _v44 = val1.velocity\\n _x = _v44\\n start = end\\n end += 8\\n (_x.x, _x.y,) = _get_struct_2f().unpack(str[start:end])\\n _x = val1\\n start = end\\n end += 2\\n (_x.pos_known, _x.velocity_known,) = _get_struct_2B().unpack(str[start:end])\\n val1.pos_known = bool(val1.pos_known)\\n val1.velocity_known = bool(val1.velocity_known)\\n self.ballinfo.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.coachinfo.header.seq, _x.coachinfo.header.stamp.secs, _x.coachinfo.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.coachinfo.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.coachinfo.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 54\\n (_x.coachinfo.MatchMode, _x.coachinfo.MatchType, _x.coachinfo.TestMode, _x.coachinfo.pointA.x, _x.coachinfo.pointA.y, _x.coachinfo.pointB.x, _x.coachinfo.pointB.y, _x.coachinfo.angleA, _x.coachinfo.angleB, _x.coachinfo.idA, _x.coachinfo.idB, _x.coachinfo.kickforce, _x.pass_cmd.pass_id, _x.pass_cmd.catch_id, _x.pass_cmd.pass_pt.x, _x.pass_cmd.pass_pt.y, _x.pass_cmd.catch_pt.x, _x.pass_cmd.catch_pt.y, _x.pass_cmd.is_passout, _x.pass_cmd.is_dynamic_pass, _x.pass_cmd.is_static_pass, _x.pass_cmd.is_valid,) = _get_struct_3B4f2h3B2I4f4B().unpack(str[start:end])\\n self.pass_cmd.is_passout = bool(self.pass_cmd.is_passout)\\n self.pass_cmd.is_dynamic_pass = bool(self.pass_cmd.is_dynamic_pass)\\n self.pass_cmd.is_static_pass = bool(self.pass_cmd.is_static_pass)\\n self.pass_cmd.is_valid = bool(self.pass_cmd.is_valid)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 2580\\n self.Rscanpose = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=645)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.home is None:\\n self.home = flyaq.msg.Coordinate()\\n if self.movements is None:\\n self.movements = None\\n if self.move_transitions is None:\\n self.move_transitions = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.name = str[start:end].decode('utf-8')\\n else:\\n self.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.type_name = str[start:end].decode('utf-8')\\n else:\\n self.type_name = str[start:end]\\n _x = self\\n start = end\\n end += 16\\n (_x.home.latitude, _x.home.longitude, _x.home.altitude, _x.home.heading,) = _struct_4f.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.movements = []\\n for i in range(0, length):\\n val1 = flyaq.msg.Move()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 1\\n (val1.type,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.pre_actions = []\\n for i in range(0, length):\\n val2 = flyaq.msg.Action()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 1\\n (val2.type,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.action_name = str[start:end].decode('utf-8')\\n else:\\n val2.action_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.parameters = []\\n for i in range(0, length):\\n val3 = flyaq.msg.Parameter()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.parameters.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.slot_name = str[start:end].decode('utf-8')\\n else:\\n val2.slot_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.receivers_name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.receivers_name.append(val3)\\n val1.pre_actions.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.post_actions = []\\n for i in range(0, length):\\n val2 = flyaq.msg.Action()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 1\\n (val2.type,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.action_name = str[start:end].decode('utf-8')\\n else:\\n val2.action_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.parameters = []\\n for i in range(0, length):\\n val3 = flyaq.msg.Parameter()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.parameters.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.slot_name = str[start:end].decode('utf-8')\\n else:\\n val2.slot_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.receivers_name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.receivers_name.append(val3)\\n val1.post_actions.append(val2)\\n start = end\\n end += 4\\n (val1.altitude,) = _struct_f.unpack(str[start:end])\\n _v7 = val1.target_position\\n _x = _v7\\n start = end\\n end += 16\\n (_x.latitude, _x.longitude, _x.altitude, _x.heading,) = _struct_4f.unpack(str[start:end])\\n start = end\\n end += 1\\n (val1.strategy,) = _struct_b.unpack(str[start:end])\\n _v8 = val1.duration\\n _x = _v8\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2i.unpack(str[start:end])\\n _x = val1\\n start = end\\n end += 13\\n (_x.radius, _x.circle_altitude, _x.clockwise, _x.direction,) = _struct_2fBf.unpack(str[start:end])\\n val1.clockwise = bool(val1.clockwise)\\n self.movements.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.move_transitions = []\\n for i in range(0, length):\\n val1 = flyaq.msg.MoveTransition()\\n start = end\\n end += 1\\n (val1.is_choice,) = _struct_B.unpack(str[start:end])\\n val1.is_choice = bool(val1.is_choice)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.wait_for_slot_name = str[start:end].decode('utf-8')\\n else:\\n val1.wait_for_slot_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.from_move_name = str[start:end].decode('utf-8')\\n else:\\n val1.from_move_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.to_move_name = str[start:end].decode('utf-8')\\n else:\\n val1.to_move_name = str[start:end]\\n start = end\\n end += 1\\n (val1.fluid,) = _struct_B.unpack(str[start:end])\\n val1.fluid = bool(val1.fluid)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.condition_identifier = str[start:end].decode('utf-8')\\n else:\\n val1.condition_identifier = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.false_branch_move_name = str[start:end].decode('utf-8')\\n else:\\n val1.false_branch_move_name = str[start:end]\\n self.move_transitions.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.slot_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.slot_names.append(val1)\\n start = end\\n end += 1\\n (self.travel_mode,) = _struct_b.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 41\\n (_x.enable_steering, _x.enable_braking, _x.enable_driving, _x.enable_Estop, _x.enable_gear, _x.sw_deg, _x.sw_rad, _x.speed_ms, _x.speed_kms, _x.ax_ms2, _x.omega_rad, _x.gear_mode, _x.steering, _x.speed,) = _get_struct_5B6fi2f().unpack(str[start:end])\\n self.enable_steering = bool(self.enable_steering)\\n self.enable_braking = bool(self.enable_braking)\\n self.enable_driving = bool(self.enable_driving)\\n self.enable_Estop = bool(self.enable_Estop)\\n self.enable_gear = bool(self.enable_gear)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.sensor_pose_on_robot is None:\\n self.sensor_pose_on_robot = geometry_msgs.msg.Pose()\\n if self.sensed_data is None:\\n self.sensed_data = None\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 96\\n (_x.sensor_pose_on_robot.position.x, _x.sensor_pose_on_robot.position.y, _x.sensor_pose_on_robot.position.z, _x.sensor_pose_on_robot.orientation.x, _x.sensor_pose_on_robot.orientation.y, _x.sensor_pose_on_robot.orientation.z, _x.sensor_pose_on_robot.orientation.w, _x.min_sensor_distance, _x.max_sensor_distance, _x.sensor_std_range, _x.sensor_std_yaw, _x.sensor_std_pitch,) = _get_struct_12d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.sensed_data = []\\n for i in range(0, length):\\n val1 = mrpt_msgs.msg.SingleRangeBearingObservation()\\n _x = val1\\n start = end\\n end += 28\\n (_x.range, _x.yaw, _x.pitch, _x.id,) = _get_struct_3di().unpack(str[start:end])\\n self.sensed_data.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.Front_sens is None:\\n self.Front_sens = motor_sc.msg.sens9ax()\\n if self.Rear_sens is None:\\n self.Rear_sens = motor_sc.msg.sens9ax()\\n end = 0\\n _x = self\\n start = end\\n end += 9\\n (_x.Front_sens.ID, _x.Front_sens.timestamp,) = _get_struct_BQ().unpack(str[start:end])\\n start = end\\n end += 24\\n self.Front_sens.compass = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.Front_sens.gyro = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.Front_sens.accel = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.Front_sens.fusionPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 32\\n self.Front_sens.fusionQPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\\n _x = self\\n start = end\\n end += 9\\n (_x.Rear_sens.ID, _x.Rear_sens.timestamp,) = _get_struct_BQ().unpack(str[start:end])\\n start = end\\n end += 24\\n self.Rear_sens.compass = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.Rear_sens.gyro = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.Rear_sens.accel = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 24\\n self.Rear_sens.fusionPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=3)\\n start = end\\n end += 32\\n self.Rear_sens.fusionQPose = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.cnt is None:\\n self.cnt = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.cnt = []\\n for i in range(0, length):\\n val1 = dgvmsg.msg.Encounter()\\n _v10 = val1.header\\n start = end\\n end += 4\\n (_v10.seq,) = _get_struct_I().unpack(str[start:end])\\n _v11 = _v10.stamp\\n _x = _v11\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v10.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v10.frame_id = str[start:end]\\n start = end\\n end += 4\\n (val1.devadd,) = _get_struct_i().unpack(str[start:end])\\n _v12 = val1.now\\n _x = _v12\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (val1.encounter,) = _get_struct_I().unpack(str[start:end])\\n self.cnt.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.group = str[start:end].decode('utf-8')\\n else:\\n self.group = str[start:end]\\n _x = self\\n start = end\\n end += 2\\n (_x.rand_start, _x.current_start,) = _get_struct_2B().unpack(str[start:end])\\n self.rand_start = bool(self.rand_start)\\n self.current_start = bool(self.current_start)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.start_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n start = end\\n end += 1\\n (self.rand_target,) = _get_struct_B().unpack(str[start:end])\\n self.rand_target = bool(self.rand_target)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.target_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n _x = self\\n start = end\\n end += 4\\n (_x.execute, _x.wait, _x.ret_plan, _x.ret_fps,) = _get_struct_3Bb().unpack(str[start:end])\\n self.execute = bool(self.execute)\\n self.wait = bool(self.wait)\\n self.ret_plan = bool(self.ret_plan)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.goal_id is None:\\n self.goal_id = actionlib_msgs.msg.GoalID()\\n if self.goal is None:\\n self.goal = moveit_msgs.msg.MoveGroupGoal()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 8\\n (_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal_id.id = str[start:end].decode('utf-8')\\n else:\\n self.goal_id.id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.request.workspace_parameters.header.seq, _x.goal.request.workspace_parameters.header.stamp.secs, _x.goal.request.workspace_parameters.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.workspace_parameters.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.workspace_parameters.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 60\\n (_x.goal.request.workspace_parameters.min_corner.x, _x.goal.request.workspace_parameters.min_corner.y, _x.goal.request.workspace_parameters.min_corner.z, _x.goal.request.workspace_parameters.max_corner.x, _x.goal.request.workspace_parameters.max_corner.y, _x.goal.request.workspace_parameters.max_corner.z, _x.goal.request.start_state.joint_state.header.seq, _x.goal.request.start_state.joint_state.header.stamp.secs, _x.goal.request.start_state.joint_state.header.stamp.nsecs,) = _get_struct_6d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.start_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.start_state.joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.joint_state.name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.request.start_state.joint_state.name.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.request.start_state.joint_state.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.request.start_state.joint_state.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.request.start_state.joint_state.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.request.start_state.multi_dof_joint_state.header.seq, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.secs, _x.goal.request.start_state.multi_dof_joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.start_state.multi_dof_joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.start_state.multi_dof_joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.request.start_state.multi_dof_joint_state.joint_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.transforms = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Transform()\\n _v445 = val1.translation\\n _x = _v445\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v446 = val1.rotation\\n _x = _v446\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.transforms.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.twist = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Twist()\\n _v447 = val1.linear\\n _x = _v447\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v448 = val1.angular\\n _x = _v448\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.twist.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.wrench = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Wrench()\\n _v449 = val1.force\\n _x = _v449\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v450 = val1.torque\\n _x = _v450\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.goal.request.start_state.multi_dof_joint_state.wrench.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.start_state.attached_collision_objects = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.AttachedCollisionObject()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _v451 = val1.object\\n _v452 = _v451.header\\n start = end\\n end += 4\\n (_v452.seq,) = _get_struct_I().unpack(str[start:end])\\n _v453 = _v452.stamp\\n _x = _v453\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v452.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v452.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v451.id = str[start:end].decode('utf-8')\\n else:\\n _v451.id = str[start:end]\\n _v454 = _v451.type\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v454.key = str[start:end].decode('utf-8')\\n else:\\n _v454.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v454.db = str[start:end].decode('utf-8')\\n else:\\n _v454.db = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.primitives = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val3.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v451.primitives.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.primitive_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v455 = val3.position\\n _x = _v455\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v456 = val3.orientation\\n _x = _v456\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v451.primitive_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.meshes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.triangles = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val4.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val3.triangles.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.vertices = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Point()\\n _x = val4\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val3.vertices.append(val4)\\n _v451.meshes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.mesh_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v457 = val3.position\\n _x = _v457\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v458 = val3.orientation\\n _x = _v458\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v451.mesh_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.planes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Plane()\\n start = end\\n end += 32\\n val3.coef = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\\n _v451.planes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.plane_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v459 = val3.position\\n _x = _v459\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v460 = val3.orientation\\n _x = _v460\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v451.plane_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.subframe_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n _v451.subframe_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v451.subframe_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v461 = val3.position\\n _x = _v461\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v462 = val3.orientation\\n _x = _v462\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v451.subframe_poses.append(val3)\\n start = end\\n end += 1\\n (_v451.operation,) = _get_struct_b().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.touch_links = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.touch_links.append(val2)\\n _v463 = val1.detach_posture\\n _v464 = _v463.header\\n start = end\\n end += 4\\n (_v464.seq,) = _get_struct_I().unpack(str[start:end])\\n _v465 = _v464.stamp\\n _x = _v465\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v464.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v464.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v463.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n _v463.joint_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v463.points = []\\n for i in range(0, length):\\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.positions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.velocities = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.accelerations = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v466 = val3.time_from_start\\n _x = _v466\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\\n _v463.points.append(val3)\\n start = end\\n end += 8\\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\\n self.goal.request.start_state.attached_collision_objects.append(val1)\\n start = end\\n end += 1\\n (self.goal.request.start_state.is_diff,) = _get_struct_B().unpack(str[start:end])\\n self.goal.request.start_state.is_diff = bool(self.goal.request.start_state.is_diff)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.goal_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.Constraints()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.joint_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.JointConstraint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.joint_name = str[start:end].decode('utf-8')\\n else:\\n val2.joint_name = str[start:end]\\n _x = val2\\n start = end\\n end += 32\\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n val1.joint_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.position_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.PositionConstraint()\\n _v467 = val2.header\\n start = end\\n end += 4\\n (_v467.seq,) = _get_struct_I().unpack(str[start:end])\\n _v468 = _v467.stamp\\n _x = _v468\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v467.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v467.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.link_name = str[start:end].decode('utf-8')\\n else:\\n val2.link_name = str[start:end]\\n _v469 = val2.target_point_offset\\n _x = _v469\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v470 = val2.constraint_region\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v470.primitives = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val4.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val4.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v470.primitives.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v470.primitive_poses = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Pose()\\n _v471 = val4.position\\n _x = _v471\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v472 = val4.orientation\\n _x = _v472\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v470.primitive_poses.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v470.meshes = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val4.triangles = []\\n for i in range(0, length):\\n val5 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val5.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val4.triangles.append(val5)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val4.vertices = []\\n for i in range(0, length):\\n val5 = geometry_msgs.msg.Point()\\n _x = val5\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val4.vertices.append(val5)\\n _v470.meshes.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v470.mesh_poses = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Pose()\\n _v473 = val4.position\\n _x = _v473\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v474 = val4.orientation\\n _x = _v474\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v470.mesh_poses.append(val4)\\n start = end\\n end += 8\\n (val2.weight,) = _get_struct_d().unpack(str[start:end])\\n val1.position_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.orientation_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.OrientationConstraint()\\n _v475 = val2.header\\n start = end\\n end += 4\\n (_v475.seq,) = _get_struct_I().unpack(str[start:end])\\n _v476 = _v475.stamp\\n _x = _v476\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v475.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v475.frame_id = str[start:end]\\n _v477 = val2.orientation\\n _x = _v477\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.link_name = str[start:end].decode('utf-8')\\n else:\\n val2.link_name = str[start:end]\\n _x = val2\\n start = end\\n end += 32\\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n val1.orientation_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.visibility_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.VisibilityConstraint()\\n start = end\\n end += 8\\n (val2.target_radius,) = _get_struct_d().unpack(str[start:end])\\n _v478 = val2.target_pose\\n _v479 = _v478.header\\n start = end\\n end += 4\\n (_v479.seq,) = _get_struct_I().unpack(str[start:end])\\n _v480 = _v479.stamp\\n _x = _v480\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v479.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v479.frame_id = str[start:end]\\n _v481 = _v478.pose\\n _v482 = _v481.position\\n _x = _v482\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v483 = _v481.orientation\\n _x = _v483\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val2.cone_sides,) = _get_struct_i().unpack(str[start:end])\\n _v484 = val2.sensor_pose\\n _v485 = _v484.header\\n start = end\\n end += 4\\n (_v485.seq,) = _get_struct_I().unpack(str[start:end])\\n _v486 = _v485.stamp\\n _x = _v486\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v485.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v485.frame_id = str[start:end]\\n _v487 = _v484.pose\\n _v488 = _v487.position\\n _x = _v488\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v489 = _v487.orientation\\n _x = _v489\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _x = val2\\n start = end\\n end += 25\\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\\n val1.visibility_constraints.append(val2)\\n self.goal.request.goal_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.path_constraints.name = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.path_constraints.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.path_constraints.joint_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.JointConstraint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.joint_name = str[start:end].decode('utf-8')\\n else:\\n val1.joint_name = str[start:end]\\n _x = val1\\n start = end\\n end += 32\\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.request.path_constraints.joint_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.path_constraints.position_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.PositionConstraint()\\n _v490 = val1.header\\n start = end\\n end += 4\\n (_v490.seq,) = _get_struct_I().unpack(str[start:end])\\n _v491 = _v490.stamp\\n _x = _v491\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v490.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v490.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _v492 = val1.target_point_offset\\n _x = _v492\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v493 = val1.constraint_region\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v493.primitives = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val3.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v493.primitives.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v493.primitive_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v494 = val3.position\\n _x = _v494\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v495 = val3.orientation\\n _x = _v495\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v493.primitive_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v493.meshes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.triangles = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val4.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val3.triangles.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.vertices = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Point()\\n _x = val4\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val3.vertices.append(val4)\\n _v493.meshes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v493.mesh_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v496 = val3.position\\n _x = _v496\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v497 = val3.orientation\\n _x = _v497\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v493.mesh_poses.append(val3)\\n start = end\\n end += 8\\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\\n self.goal.request.path_constraints.position_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.path_constraints.orientation_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.OrientationConstraint()\\n _v498 = val1.header\\n start = end\\n end += 4\\n (_v498.seq,) = _get_struct_I().unpack(str[start:end])\\n _v499 = _v498.stamp\\n _x = _v499\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v498.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v498.frame_id = str[start:end]\\n _v500 = val1.orientation\\n _x = _v500\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _x = val1\\n start = end\\n end += 32\\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.request.path_constraints.orientation_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.path_constraints.visibility_constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.VisibilityConstraint()\\n start = end\\n end += 8\\n (val1.target_radius,) = _get_struct_d().unpack(str[start:end])\\n _v501 = val1.target_pose\\n _v502 = _v501.header\\n start = end\\n end += 4\\n (_v502.seq,) = _get_struct_I().unpack(str[start:end])\\n _v503 = _v502.stamp\\n _x = _v503\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v502.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v502.frame_id = str[start:end]\\n _v504 = _v501.pose\\n _v505 = _v504.position\\n _x = _v505\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v506 = _v504.orientation\\n _x = _v506\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val1.cone_sides,) = _get_struct_i().unpack(str[start:end])\\n _v507 = val1.sensor_pose\\n _v508 = _v507.header\\n start = end\\n end += 4\\n (_v508.seq,) = _get_struct_I().unpack(str[start:end])\\n _v509 = _v508.stamp\\n _x = _v509\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v508.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v508.frame_id = str[start:end]\\n _v510 = _v507.pose\\n _v511 = _v510.position\\n _x = _v511\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v512 = _v510.orientation\\n _x = _v512\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _x = val1\\n start = end\\n end += 25\\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\\n self.goal.request.path_constraints.visibility_constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.trajectory_constraints.constraints = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.Constraints()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.joint_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.JointConstraint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.joint_name = str[start:end].decode('utf-8')\\n else:\\n val2.joint_name = str[start:end]\\n _x = val2\\n start = end\\n end += 32\\n (_x.position, _x.tolerance_above, _x.tolerance_below, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n val1.joint_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.position_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.PositionConstraint()\\n _v513 = val2.header\\n start = end\\n end += 4\\n (_v513.seq,) = _get_struct_I().unpack(str[start:end])\\n _v514 = _v513.stamp\\n _x = _v514\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v513.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v513.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.link_name = str[start:end].decode('utf-8')\\n else:\\n val2.link_name = str[start:end]\\n _v515 = val2.target_point_offset\\n _x = _v515\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v516 = val2.constraint_region\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v516.primitives = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val4.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val4.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v516.primitives.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v516.primitive_poses = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Pose()\\n _v517 = val4.position\\n _x = _v517\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v518 = val4.orientation\\n _x = _v518\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v516.primitive_poses.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v516.meshes = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val4.triangles = []\\n for i in range(0, length):\\n val5 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val5.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val4.triangles.append(val5)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val4.vertices = []\\n for i in range(0, length):\\n val5 = geometry_msgs.msg.Point()\\n _x = val5\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val4.vertices.append(val5)\\n _v516.meshes.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v516.mesh_poses = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Pose()\\n _v519 = val4.position\\n _x = _v519\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v520 = val4.orientation\\n _x = _v520\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v516.mesh_poses.append(val4)\\n start = end\\n end += 8\\n (val2.weight,) = _get_struct_d().unpack(str[start:end])\\n val1.position_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.orientation_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.OrientationConstraint()\\n _v521 = val2.header\\n start = end\\n end += 4\\n (_v521.seq,) = _get_struct_I().unpack(str[start:end])\\n _v522 = _v521.stamp\\n _x = _v522\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v521.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v521.frame_id = str[start:end]\\n _v523 = val2.orientation\\n _x = _v523\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.link_name = str[start:end].decode('utf-8')\\n else:\\n val2.link_name = str[start:end]\\n _x = val2\\n start = end\\n end += 32\\n (_x.absolute_x_axis_tolerance, _x.absolute_y_axis_tolerance, _x.absolute_z_axis_tolerance, _x.weight,) = _get_struct_4d().unpack(str[start:end])\\n val1.orientation_constraints.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.visibility_constraints = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.VisibilityConstraint()\\n start = end\\n end += 8\\n (val2.target_radius,) = _get_struct_d().unpack(str[start:end])\\n _v524 = val2.target_pose\\n _v525 = _v524.header\\n start = end\\n end += 4\\n (_v525.seq,) = _get_struct_I().unpack(str[start:end])\\n _v526 = _v525.stamp\\n _x = _v526\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v525.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v525.frame_id = str[start:end]\\n _v527 = _v524.pose\\n _v528 = _v527.position\\n _x = _v528\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v529 = _v527.orientation\\n _x = _v529\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n start = end\\n end += 4\\n (val2.cone_sides,) = _get_struct_i().unpack(str[start:end])\\n _v530 = val2.sensor_pose\\n _v531 = _v530.header\\n start = end\\n end += 4\\n (_v531.seq,) = _get_struct_I().unpack(str[start:end])\\n _v532 = _v531.stamp\\n _x = _v532\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v531.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v531.frame_id = str[start:end]\\n _v533 = _v530.pose\\n _v534 = _v533.position\\n _x = _v534\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v535 = _v533.orientation\\n _x = _v535\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _x = val2\\n start = end\\n end += 25\\n (_x.max_view_angle, _x.max_range_angle, _x.sensor_view_direction, _x.weight,) = _get_struct_2dBd().unpack(str[start:end])\\n val1.visibility_constraints.append(val2)\\n self.goal.request.trajectory_constraints.constraints.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.request.reference_trajectories = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.GenericTrajectory()\\n _v536 = val1.header\\n start = end\\n end += 4\\n (_v536.seq,) = _get_struct_I().unpack(str[start:end])\\n _v537 = _v536.stamp\\n _x = _v537\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v536.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v536.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.joint_trajectory = []\\n for i in range(0, length):\\n val2 = trajectory_msgs.msg.JointTrajectory()\\n _v538 = val2.header\\n start = end\\n end += 4\\n (_v538.seq,) = _get_struct_I().unpack(str[start:end])\\n _v539 = _v538.stamp\\n _x = _v539\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v538.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v538.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.joint_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.points = []\\n for i in range(0, length):\\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.positions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.velocities = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.accelerations = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v540 = val3.time_from_start\\n _x = _v540\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\\n val2.points.append(val3)\\n val1.joint_trajectory.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.cartesian_trajectory = []\\n for i in range(0, length):\\n val2 = moveit_msgs.msg.CartesianTrajectory()\\n _v541 = val2.header\\n start = end\\n end += 4\\n (_v541.seq,) = _get_struct_I().unpack(str[start:end])\\n _v542 = _v541.stamp\\n _x = _v542\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v541.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v541.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.tracked_frame = str[start:end].decode('utf-8')\\n else:\\n val2.tracked_frame = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.points = []\\n for i in range(0, length):\\n val3 = moveit_msgs.msg.CartesianTrajectoryPoint()\\n _v543 = val3.point\\n _v544 = _v543.pose\\n _v545 = _v544.position\\n _x = _v545\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v546 = _v544.orientation\\n _x = _v546\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v547 = _v543.velocity\\n _v548 = _v547.linear\\n _x = _v548\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v549 = _v547.angular\\n _x = _v549\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v550 = _v543.acceleration\\n _v551 = _v550.linear\\n _x = _v551\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v552 = _v550.angular\\n _x = _v552\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v553 = val3.time_from_start\\n _x = _v553\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\\n val2.points.append(val3)\\n val1.cartesian_trajectory.append(val2)\\n self.goal.request.reference_trajectories.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.planner_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.planner_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.request.group_name = str[start:end].decode('utf-8')\\n else:\\n self.goal.request.group_name = str[start:end]\\n _x = self\\n start = end\\n end += 28\\n (_x.goal.request.num_planning_attempts, _x.goal.request.allowed_planning_time, _x.goal.request.max_velocity_scaling_factor, _x.goal.request.max_acceleration_scaling_factor,) = _get_struct_i3d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.name = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.name = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.name.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.robot_state.joint_state.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.seq, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Transform()\\n _v554 = val1.translation\\n _x = _v554\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v555 = val1.rotation\\n _x = _v555\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.transforms.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Twist()\\n _v556 = val1.linear\\n _x = _v556\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v557 = val1.angular\\n _x = _v557\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.twist.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Wrench()\\n _v558 = val1.force\\n _x = _v558\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v559 = val1.torque\\n _x = _v559\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.multi_dof_joint_state.wrench.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.AttachedCollisionObject()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _v560 = val1.object\\n _v561 = _v560.header\\n start = end\\n end += 4\\n (_v561.seq,) = _get_struct_I().unpack(str[start:end])\\n _v562 = _v561.stamp\\n _x = _v562\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v561.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v561.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v560.id = str[start:end].decode('utf-8')\\n else:\\n _v560.id = str[start:end]\\n _v563 = _v560.type\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v563.key = str[start:end].decode('utf-8')\\n else:\\n _v563.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v563.db = str[start:end].decode('utf-8')\\n else:\\n _v563.db = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.primitives = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val3.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v560.primitives.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.primitive_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v564 = val3.position\\n _x = _v564\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v565 = val3.orientation\\n _x = _v565\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v560.primitive_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.meshes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.triangles = []\\n for i in range(0, length):\\n val4 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val4.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val3.triangles.append(val4)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.vertices = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Point()\\n _x = val4\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val3.vertices.append(val4)\\n _v560.meshes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.mesh_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v566 = val3.position\\n _x = _v566\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v567 = val3.orientation\\n _x = _v567\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v560.mesh_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.planes = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.Plane()\\n start = end\\n end += 32\\n val3.coef = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\\n _v560.planes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.plane_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v568 = val3.position\\n _x = _v568\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v569 = val3.orientation\\n _x = _v569\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v560.plane_poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.subframe_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n _v560.subframe_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v560.subframe_poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v570 = val3.position\\n _x = _v570\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v571 = val3.orientation\\n _x = _v571\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n _v560.subframe_poses.append(val3)\\n start = end\\n end += 1\\n (_v560.operation,) = _get_struct_b().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.touch_links = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.touch_links.append(val2)\\n _v572 = val1.detach_posture\\n _v573 = _v572.header\\n start = end\\n end += 4\\n (_v573.seq,) = _get_struct_I().unpack(str[start:end])\\n _v574 = _v573.stamp\\n _x = _v574\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v573.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v573.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v572.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n _v572.joint_names.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v572.points = []\\n for i in range(0, length):\\n val3 = trajectory_msgs.msg.JointTrajectoryPoint()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.positions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.velocities = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.accelerations = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _v575 = val3.time_from_start\\n _x = _v575\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2i().unpack(str[start:end])\\n _v572.points.append(val3)\\n start = end\\n end += 8\\n (val1.weight,) = _get_struct_d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.attached_collision_objects.append(val1)\\n start = end\\n end += 1\\n (self.goal.planning_options.planning_scene_diff.robot_state.is_diff,) = _get_struct_B().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.robot_state.is_diff = bool(self.goal.planning_options.planning_scene_diff.robot_state.is_diff)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.robot_model_name = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.robot_model_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.fixed_frame_transforms = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.TransformStamped()\\n _v576 = val1.header\\n start = end\\n end += 4\\n (_v576.seq,) = _get_struct_I().unpack(str[start:end])\\n _v577 = _v576.stamp\\n _x = _v577\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v576.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v576.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.child_frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.child_frame_id = str[start:end]\\n _v578 = val1.transform\\n _v579 = _v578.translation\\n _x = _v579\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v580 = _v578.rotation\\n _x = _v580\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.fixed_frame_transforms.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.AllowedCollisionEntry()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sB'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.enabled = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\\n val1.enabled = map(bool, val1.enabled)\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.entry_values.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sB'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\\n self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values = map(bool, self.goal.planning_options.planning_scene_diff.allowed_collision_matrix.default_entry_values)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.link_padding = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.LinkPadding()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n start = end\\n end += 8\\n (val1.padding,) = _get_struct_d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.link_padding.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.link_scale = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.LinkScale()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n start = end\\n end += 8\\n (val1.scale,) = _get_struct_d().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.link_scale.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.object_colors = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.ObjectColor()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n _v581 = val1.color\\n _x = _v581\\n start = end\\n end += 16\\n (_x.r, _x.g, _x.b, _x.a,) = _get_struct_4f().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.object_colors.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.world.collision_objects = []\\n for i in range(0, length):\\n val1 = moveit_msgs.msg.CollisionObject()\\n _v582 = val1.header\\n start = end\\n end += 4\\n (_v582.seq,) = _get_struct_I().unpack(str[start:end])\\n _v583 = _v582.stamp\\n _x = _v583\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _get_struct_2I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v582.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v582.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n _v584 = val1.type\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v584.key = str[start:end].decode('utf-8')\\n else:\\n _v584.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v584.db = str[start:end].decode('utf-8')\\n else:\\n _v584.db = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.primitives = []\\n for i in range(0, length):\\n val2 = shape_msgs.msg.SolidPrimitive()\\n start = end\\n end += 1\\n (val2.type,) = _get_struct_B().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val2.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n val1.primitives.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.primitive_poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v585 = val2.position\\n _x = _v585\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v586 = val2.orientation\\n _x = _v586\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n val1.primitive_poses.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.meshes = []\\n for i in range(0, length):\\n val2 = shape_msgs.msg.Mesh()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.triangles = []\\n for i in range(0, length):\\n val3 = shape_msgs.msg.MeshTriangle()\\n start = end\\n end += 12\\n val3.vertex_indices = numpy.frombuffer(str[start:end], dtype=numpy.uint32, count=3)\\n val2.triangles.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.vertices = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Point()\\n _x = val3\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n val2.vertices.append(val3)\\n val1.meshes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.mesh_poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v587 = val2.position\\n _x = _v587\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v588 = val2.orientation\\n _x = _v588\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n val1.mesh_poses.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.planes = []\\n for i in range(0, length):\\n val2 = shape_msgs.msg.Plane()\\n start = end\\n end += 32\\n val2.coef = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=4)\\n val1.planes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.plane_poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v589 = val2.position\\n _x = _v589\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v590 = val2.orientation\\n _x = _v590\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n val1.plane_poses.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.subframe_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.subframe_names.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.subframe_poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v591 = val2.position\\n _x = _v591\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _get_struct_3d().unpack(str[start:end])\\n _v592 = val2.orientation\\n _x = _v592\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _get_struct_4d().unpack(str[start:end])\\n val1.subframe_poses.append(val2)\\n start = end\\n end += 1\\n (val1.operation,) = _get_struct_b().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.world.collision_objects.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.goal.planning_options.planning_scene_diff.world.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.world.octomap.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.position.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.x, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.y, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.z, _x.goal.planning_options.planning_scene_diff.world.octomap.origin.orientation.w, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.seq, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.secs, _x.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.header.frame_id = str[start:end]\\n start = end\\n end += 1\\n (self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary,) = _get_struct_B().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary = bool(self.goal.planning_options.planning_scene_diff.world.octomap.octomap.binary)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id = str[start:end].decode('utf-8')\\n else:\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.id = str[start:end]\\n start = end\\n end += 8\\n (self.goal.planning_options.planning_scene_diff.world.octomap.octomap.resolution,) = _get_struct_d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sb'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.goal.planning_options.planning_scene_diff.world.octomap.octomap.data = numpy.frombuffer(str[start:end], dtype=numpy.int8, count=length)\\n _x = self\\n start = end\\n end += 28\\n (_x.goal.planning_options.planning_scene_diff.is_diff, _x.goal.planning_options.plan_only, _x.goal.planning_options.look_around, _x.goal.planning_options.look_around_attempts, _x.goal.planning_options.max_safe_execution_cost, _x.goal.planning_options.replan, _x.goal.planning_options.replan_attempts, _x.goal.planning_options.replan_delay,) = _get_struct_3BidBid().unpack(str[start:end])\\n self.goal.planning_options.planning_scene_diff.is_diff = bool(self.goal.planning_options.planning_scene_diff.is_diff)\\n self.goal.planning_options.plan_only = bool(self.goal.planning_options.plan_only)\\n self.goal.planning_options.look_around = bool(self.goal.planning_options.look_around)\\n self.goal.planning_options.replan = bool(self.goal.planning_options.replan)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.pending is None:\\n self.pending = None\\n if self.available is None:\\n self.available = None\\n if self.missing is None:\\n self.missing = None\\n if self.gone is None:\\n self.gone = None\\n end = 0\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.pending = []\\n for i in range(0, length):\\n val1 = concert_msgs.msg.ConcertClient()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.gateway_name = str[start:end].decode('utf-8')\\n else:\\n val1.gateway_name = str[start:end]\\n _v49 = val1.platform_info\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v49.name = str[start:end].decode('utf-8')\\n else:\\n _v49.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v49.rocon_uri = str[start:end].decode('utf-8')\\n else:\\n _v49.rocon_uri = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v49.description = str[start:end].decode('utf-8')\\n else:\\n _v49.description = str[start:end]\\n _v50 = _v49.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v50.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v50.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v50.format = str[start:end].decode('utf-8')\\n else:\\n _v50.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v50.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v49.version = str[start:end].decode('utf-8')\\n else:\\n _v49.version = str[start:end]\\n start = end\\n end += 1\\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\\n val1.is_local_client = bool(val1.is_local_client)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.state = str[start:end].decode('utf-8')\\n else:\\n val1.state = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.ip = str[start:end].decode('utf-8')\\n else:\\n val1.ip = str[start:end]\\n _v51 = val1.conn_stats\\n _x = _v51\\n start = end\\n end += 40\\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\\n _v51.gateway_available = bool(_v51.gateway_available)\\n _v51.network_info_available = bool(_v51.network_info_available)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.rapps = []\\n for i in range(0, length):\\n val2 = rocon_app_manager_msgs.msg.Rapp()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.display_name = str[start:end].decode('utf-8')\\n else:\\n val2.display_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.description = str[start:end].decode('utf-8')\\n else:\\n val2.description = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.compatibility = str[start:end].decode('utf-8')\\n else:\\n val2.compatibility = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.status = str[start:end].decode('utf-8')\\n else:\\n val2.status = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.implementations = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.implementations.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.preferred = str[start:end].decode('utf-8')\\n else:\\n val2.preferred = str[start:end]\\n _v52 = val2.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v52.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v52.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v52.format = str[start:end].decode('utf-8')\\n else:\\n _v52.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v52.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_interface = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_interface.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_parameters = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_parameters.append(val3)\\n val1.rapps.append(val2)\\n self.pending.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.available = []\\n for i in range(0, length):\\n val1 = concert_msgs.msg.ConcertClient()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.gateway_name = str[start:end].decode('utf-8')\\n else:\\n val1.gateway_name = str[start:end]\\n _v53 = val1.platform_info\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v53.name = str[start:end].decode('utf-8')\\n else:\\n _v53.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v53.rocon_uri = str[start:end].decode('utf-8')\\n else:\\n _v53.rocon_uri = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v53.description = str[start:end].decode('utf-8')\\n else:\\n _v53.description = str[start:end]\\n _v54 = _v53.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v54.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v54.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v54.format = str[start:end].decode('utf-8')\\n else:\\n _v54.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v54.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v53.version = str[start:end].decode('utf-8')\\n else:\\n _v53.version = str[start:end]\\n start = end\\n end += 1\\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\\n val1.is_local_client = bool(val1.is_local_client)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.state = str[start:end].decode('utf-8')\\n else:\\n val1.state = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.ip = str[start:end].decode('utf-8')\\n else:\\n val1.ip = str[start:end]\\n _v55 = val1.conn_stats\\n _x = _v55\\n start = end\\n end += 40\\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\\n _v55.gateway_available = bool(_v55.gateway_available)\\n _v55.network_info_available = bool(_v55.network_info_available)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.rapps = []\\n for i in range(0, length):\\n val2 = rocon_app_manager_msgs.msg.Rapp()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.display_name = str[start:end].decode('utf-8')\\n else:\\n val2.display_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.description = str[start:end].decode('utf-8')\\n else:\\n val2.description = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.compatibility = str[start:end].decode('utf-8')\\n else:\\n val2.compatibility = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.status = str[start:end].decode('utf-8')\\n else:\\n val2.status = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.implementations = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.implementations.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.preferred = str[start:end].decode('utf-8')\\n else:\\n val2.preferred = str[start:end]\\n _v56 = val2.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v56.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v56.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v56.format = str[start:end].decode('utf-8')\\n else:\\n _v56.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v56.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_interface = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_interface.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_parameters = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_parameters.append(val3)\\n val1.rapps.append(val2)\\n self.available.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.missing = []\\n for i in range(0, length):\\n val1 = concert_msgs.msg.ConcertClient()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.gateway_name = str[start:end].decode('utf-8')\\n else:\\n val1.gateway_name = str[start:end]\\n _v57 = val1.platform_info\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v57.name = str[start:end].decode('utf-8')\\n else:\\n _v57.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v57.rocon_uri = str[start:end].decode('utf-8')\\n else:\\n _v57.rocon_uri = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v57.description = str[start:end].decode('utf-8')\\n else:\\n _v57.description = str[start:end]\\n _v58 = _v57.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v58.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v58.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v58.format = str[start:end].decode('utf-8')\\n else:\\n _v58.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v58.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v57.version = str[start:end].decode('utf-8')\\n else:\\n _v57.version = str[start:end]\\n start = end\\n end += 1\\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\\n val1.is_local_client = bool(val1.is_local_client)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.state = str[start:end].decode('utf-8')\\n else:\\n val1.state = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.ip = str[start:end].decode('utf-8')\\n else:\\n val1.ip = str[start:end]\\n _v59 = val1.conn_stats\\n _x = _v59\\n start = end\\n end += 40\\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\\n _v59.gateway_available = bool(_v59.gateway_available)\\n _v59.network_info_available = bool(_v59.network_info_available)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.rapps = []\\n for i in range(0, length):\\n val2 = rocon_app_manager_msgs.msg.Rapp()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.display_name = str[start:end].decode('utf-8')\\n else:\\n val2.display_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.description = str[start:end].decode('utf-8')\\n else:\\n val2.description = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.compatibility = str[start:end].decode('utf-8')\\n else:\\n val2.compatibility = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.status = str[start:end].decode('utf-8')\\n else:\\n val2.status = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.implementations = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.implementations.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.preferred = str[start:end].decode('utf-8')\\n else:\\n val2.preferred = str[start:end]\\n _v60 = val2.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v60.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v60.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v60.format = str[start:end].decode('utf-8')\\n else:\\n _v60.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v60.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_interface = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_interface.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_parameters = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_parameters.append(val3)\\n val1.rapps.append(val2)\\n self.missing.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.gone = []\\n for i in range(0, length):\\n val1 = concert_msgs.msg.ConcertClient()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.gateway_name = str[start:end].decode('utf-8')\\n else:\\n val1.gateway_name = str[start:end]\\n _v61 = val1.platform_info\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v61.name = str[start:end].decode('utf-8')\\n else:\\n _v61.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v61.rocon_uri = str[start:end].decode('utf-8')\\n else:\\n _v61.rocon_uri = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v61.description = str[start:end].decode('utf-8')\\n else:\\n _v61.description = str[start:end]\\n _v62 = _v61.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v62.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v62.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v62.format = str[start:end].decode('utf-8')\\n else:\\n _v62.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v62.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v61.version = str[start:end].decode('utf-8')\\n else:\\n _v61.version = str[start:end]\\n start = end\\n end += 1\\n (val1.is_local_client,) = _get_struct_B().unpack(str[start:end])\\n val1.is_local_client = bool(val1.is_local_client)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.state = str[start:end].decode('utf-8')\\n else:\\n val1.state = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.ip = str[start:end].decode('utf-8')\\n else:\\n val1.ip = str[start:end]\\n _v63 = val1.conn_stats\\n _x = _v63\\n start = end\\n end += 40\\n (_x.gateway_available, _x.time_since_last_seen, _x.ping_latency_min, _x.ping_latency_max, _x.ping_latency_avg, _x.ping_latency_mdev, _x.network_info_available, _x.network_type, _x.wireless_bitrate, _x.wireless_link_quality, _x.wireless_signal_level, _x.wireless_noise_level,) = _get_struct_Bq4fBbfb2f().unpack(str[start:end])\\n _v63.gateway_available = bool(_v63.gateway_available)\\n _v63.network_info_available = bool(_v63.network_info_available)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.rapps = []\\n for i in range(0, length):\\n val2 = rocon_app_manager_msgs.msg.Rapp()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.name = str[start:end].decode('utf-8')\\n else:\\n val2.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.display_name = str[start:end].decode('utf-8')\\n else:\\n val2.display_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.description = str[start:end].decode('utf-8')\\n else:\\n val2.description = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.compatibility = str[start:end].decode('utf-8')\\n else:\\n val2.compatibility = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.status = str[start:end].decode('utf-8')\\n else:\\n val2.status = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.implementations = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3 = str[start:end].decode('utf-8')\\n else:\\n val3 = str[start:end]\\n val2.implementations.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2.preferred = str[start:end].decode('utf-8')\\n else:\\n val2.preferred = str[start:end]\\n _v64 = val2.icon\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v64.resource_name = str[start:end].decode('utf-8')\\n else:\\n _v64.resource_name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v64.format = str[start:end].decode('utf-8')\\n else:\\n _v64.format = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n _v64.data = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_interface = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_interface.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.public_parameters = []\\n for i in range(0, length):\\n val3 = rocon_std_msgs.msg.KeyValue()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.key = str[start:end].decode('utf-8')\\n else:\\n val3.key = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val3.value = str[start:end].decode('utf-8')\\n else:\\n val3.value = str[start:end]\\n val2.public_parameters.append(val3)\\n val1.rapps.append(val2)\\n self.gone.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.image is None:\\n self.image = autonavigation.msg.Image()\\n end = 0\\n _x = self\\n start = end\\n end += 29\\n (_x.unique_key, _x.gps_week, _x.gps_millisecond, _x.video_id, _x.image.header.seq, _x.image.header.stamp.secs, _x.image.header.stamp.nsecs,) = _struct_2IQB3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.image.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.image.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 212\\n (_x.image.localPose.time, _x.image.localPose.dr_x, _x.image.localPose.dr_y, _x.image.localPose.dr_z, _x.image.localPose.dr_heading, _x.image.localPose.dr_roll, _x.image.localPose.dr_pitch, _x.image.localPose.lf_speed, _x.image.localPose.rf_speed, _x.image.localPose.lr_speed, _x.image.localPose.rr_speed, _x.image.localPose.rot_x, _x.image.localPose.rot_y, _x.image.localPose.rot_z, _x.image.localPose.acc_x, _x.image.localPose.acc_y, _x.image.localPose.acc_z, _x.image.localPose.batteryState, _x.image.localPose.batteryEnergy, _x.image.localPose.steer, _x.image.localPose.brake, _x.image.localPose.fuel, _x.image.localPose.trans, _x.image.localPose.VehicleState, _x.image.localPose.mode, _x.image.localPose.drStatus, _x.image.localPose.errorStatus, _x.image.localPose.emergency_flag, _x.image.localPose.hardswitch_on, _x.image.gpsPos.gps_flag, _x.image.gpsPos.gps_week, _x.image.gpsPos.gps_millisecond, _x.image.gpsPos.longitude, _x.image.gpsPos.laltitude, _x.image.gpsPos.gaussX, _x.image.gpsPos.gaussY, _x.image.gpsPos.height, _x.image.gpsPos.pitch, _x.image.gpsPos.roll, _x.image.gpsPos.azimuth, _x.image.gpsPos.northVelocity, _x.image.gpsPos.eastVelocity, _x.image.gpsPos.upVelocity, _x.image.gpsPos.positionStatus, _x.image.gpsPos.rot_x, _x.image.gpsPos.rot_y, _x.image.gpsPos.rot_z, _x.image.gpsPos.acc_x, _x.image.gpsPos.acc_y, _x.image.gpsPos.acc_z, _x.image.height, _x.image.width,) = _struct_d21i7bBI6d13i2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.image.encoding = str[start:end].decode('utf-8')\\n else:\\n self.image.encoding = str[start:end]\\n _x = self\\n start = end\\n end += 5\\n (_x.image.is_bigendian, _x.image.step,) = _struct_BI.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n self.image.data = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.header is None:\\n self.header = std_msgs.msg.Header()\\n if self.x is None:\\n self.x = geometry_msgs.msg.PoseStamped()\\n if self.x_desi is None:\\n self.x_desi = geometry_msgs.msg.PoseStamped()\\n if self.x_desi_filtered is None:\\n self.x_desi_filtered = geometry_msgs.msg.PoseStamped()\\n if self.x_err is None:\\n self.x_err = geometry_msgs.msg.Twist()\\n if self.xd is None:\\n self.xd = geometry_msgs.msg.Twist()\\n if self.xd_desi is None:\\n self.xd_desi = geometry_msgs.msg.Twist()\\n if self.F is None:\\n self.F = geometry_msgs.msg.Wrench()\\n if self.J is None:\\n self.J = std_msgs.msg.Float64MultiArray()\\n if self.N is None:\\n self.N = std_msgs.msg.Float64MultiArray()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 12\\n (_x.x.header.seq, _x.x.header.stamp.secs, _x.x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.x.pose.position.x, _x.x.pose.position.y, _x.x.pose.position.z, _x.x.pose.orientation.x, _x.x.pose.orientation.y, _x.x.pose.orientation.z, _x.x.pose.orientation.w, _x.x_desi.header.seq, _x.x_desi.header.stamp.secs, _x.x_desi.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x_desi.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x_desi.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 68\\n (_x.x_desi.pose.position.x, _x.x_desi.pose.position.y, _x.x_desi.pose.position.z, _x.x_desi.pose.orientation.x, _x.x_desi.pose.orientation.y, _x.x_desi.pose.orientation.z, _x.x_desi.pose.orientation.w, _x.x_desi_filtered.header.seq, _x.x_desi_filtered.header.stamp.secs, _x.x_desi_filtered.header.stamp.nsecs,) = _get_struct_7d3I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.x_desi_filtered.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.x_desi_filtered.header.frame_id = str[start:end]\\n _x = self\\n start = end\\n end += 248\\n (_x.x_desi_filtered.pose.position.x, _x.x_desi_filtered.pose.position.y, _x.x_desi_filtered.pose.position.z, _x.x_desi_filtered.pose.orientation.x, _x.x_desi_filtered.pose.orientation.y, _x.x_desi_filtered.pose.orientation.z, _x.x_desi_filtered.pose.orientation.w, _x.x_err.linear.x, _x.x_err.linear.y, _x.x_err.linear.z, _x.x_err.angular.x, _x.x_err.angular.y, _x.x_err.angular.z, _x.xd.linear.x, _x.xd.linear.y, _x.xd.linear.z, _x.xd.angular.x, _x.xd.angular.y, _x.xd.angular.z, _x.xd_desi.linear.x, _x.xd_desi.linear.y, _x.xd_desi.linear.z, _x.xd_desi.angular.x, _x.xd_desi.angular.y, _x.xd_desi.angular.z, _x.F.force.x, _x.F.force.y, _x.F.force.z, _x.F.torque.x, _x.F.torque.y, _x.F.torque.z,) = _get_struct_31d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau_pose = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau_posture = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.tau = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.J.layout.dim = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.MultiArrayDimension()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.label = str[start:end].decode('utf-8')\\n else:\\n val1.label = str[start:end]\\n _x = val1\\n start = end\\n end += 8\\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\\n self.J.layout.dim.append(val1)\\n start = end\\n end += 4\\n (self.J.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.J.data = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.N.layout.dim = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.MultiArrayDimension()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.label = str[start:end].decode('utf-8')\\n else:\\n val1.label = str[start:end]\\n _x = val1\\n start = end\\n end += 8\\n (_x.size, _x.stride,) = _get_struct_2I().unpack(str[start:end])\\n self.N.layout.dim.append(val1)\\n start = end\\n end += 4\\n (self.N.layout.data_offset,) = _get_struct_I().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.N.data = struct.unpack(pattern, str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def _from_cpp(self, str_msg, cls):\\n msg = cls()\\n result = msg.deserialize(str_msg)\\n return result\",\n \"def deserialize(self, str):\\n codecs.lookup_error(\\\"rosmsg\\\").msg_type = self._type\\n try:\\n if self.position is None:\\n self.position = geometry_msgs.msg.Point()\\n if self.approach is None:\\n self.approach = geometry_msgs.msg.Vector3()\\n if self.binormal is None:\\n self.binormal = geometry_msgs.msg.Vector3()\\n if self.axis is None:\\n self.axis = geometry_msgs.msg.Vector3()\\n if self.width is None:\\n self.width = std_msgs.msg.Float32()\\n if self.score is None:\\n self.score = std_msgs.msg.Float32()\\n if self.sample is None:\\n self.sample = geometry_msgs.msg.Point()\\n end = 0\\n _x = self\\n start = end\\n end += 128\\n (_x.position.x, _x.position.y, _x.position.z, _x.approach.x, _x.approach.y, _x.approach.z, _x.binormal.x, _x.binormal.y, _x.binormal.z, _x.axis.x, _x.axis.y, _x.axis.z, _x.width.data, _x.score.data, _x.sample.x, _x.sample.y, _x.sample.z,) = _get_struct_12d2f3d().unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) # most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.planning_scene_diff is None:\\n self.planning_scene_diff = arm_navigation_msgs.msg.PlanningScene()\\n if self.operations is None:\\n self.operations = arm_navigation_msgs.msg.OrderedCollisionOperations()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.planning_scene_diff.robot_state.joint_state.header.seq, _x.planning_scene_diff.robot_state.joint_state.header.stamp.secs, _x.planning_scene_diff.robot_state.joint_state.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.planning_scene_diff.robot_state.joint_state.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.robot_state.joint_state.name = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.planning_scene_diff.robot_state.joint_state.name.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.planning_scene_diff.robot_state.joint_state.position = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.planning_scene_diff.robot_state.joint_state.velocity = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.planning_scene_diff.robot_state.joint_state.effort = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n _x = self\\n start = end\\n end += 8\\n (_x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.secs, _x.planning_scene_diff.robot_state.multi_dof_joint_state.stamp.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.joint_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.frame_ids.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.child_frame_ids.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.poses = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v85 = val1.position\\n _x = _v85\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v86 = val1.orientation\\n _x = _v86\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.planning_scene_diff.robot_state.multi_dof_joint_state.poses.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.fixed_frame_transforms = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.TransformStamped()\\n _v87 = val1.header\\n start = end\\n end += 4\\n (_v87.seq,) = _struct_I.unpack(str[start:end])\\n _v88 = _v87.stamp\\n _x = _v88\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v87.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v87.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.child_frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.child_frame_id = str[start:end]\\n _v89 = val1.transform\\n _v90 = _v89.translation\\n _x = _v90\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v91 = _v89.rotation\\n _x = _v91\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.planning_scene_diff.fixed_frame_transforms.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.allowed_collision_matrix.link_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1 = str[start:end].decode('utf-8')\\n else:\\n val1 = str[start:end]\\n self.planning_scene_diff.allowed_collision_matrix.link_names.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.allowed_collision_matrix.entries = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.AllowedCollisionEntry()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sB'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.enabled = numpy.frombuffer(str[start:end], dtype=numpy.bool, count=length)\\n val1.enabled = map(bool, val1.enabled)\\n self.planning_scene_diff.allowed_collision_matrix.entries.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.allowed_contacts = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.AllowedContactSpecification()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _v92 = val1.shape\\n start = end\\n end += 1\\n (_v92.type,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n _v92.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n _v92.triangles = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v92.vertices = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Point()\\n _x = val3\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v92.vertices.append(val3)\\n _v93 = val1.pose_stamped\\n _v94 = _v93.header\\n start = end\\n end += 4\\n (_v94.seq,) = _struct_I.unpack(str[start:end])\\n _v95 = _v94.stamp\\n _x = _v95\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v94.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v94.frame_id = str[start:end]\\n _v96 = _v93.pose\\n _v97 = _v96.position\\n _x = _v97\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v98 = _v96.orientation\\n _x = _v98\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.link_names = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.link_names.append(val2)\\n start = end\\n end += 8\\n (val1.penetration_depth,) = _struct_d.unpack(str[start:end])\\n self.planning_scene_diff.allowed_contacts.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.link_padding = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.LinkPadding()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n start = end\\n end += 8\\n (val1.padding,) = _struct_d.unpack(str[start:end])\\n self.planning_scene_diff.link_padding.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.collision_objects = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.CollisionObject()\\n _v99 = val1.header\\n start = end\\n end += 4\\n (_v99.seq,) = _struct_I.unpack(str[start:end])\\n _v100 = _v99.stamp\\n _x = _v100\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v99.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v99.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.id = str[start:end].decode('utf-8')\\n else:\\n val1.id = str[start:end]\\n start = end\\n end += 4\\n (val1.padding,) = _struct_f.unpack(str[start:end])\\n _v101 = val1.operation\\n start = end\\n end += 1\\n (_v101.operation,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.shapes = []\\n for i in range(0, length):\\n val2 = arm_navigation_msgs.msg.Shape()\\n start = end\\n end += 1\\n (val2.type,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val2.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val2.triangles = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val2.vertices = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Point()\\n _x = val3\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n val2.vertices.append(val3)\\n val1.shapes.append(val2)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.poses = []\\n for i in range(0, length):\\n val2 = geometry_msgs.msg.Pose()\\n _v102 = val2.position\\n _x = _v102\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v103 = val2.orientation\\n _x = _v103\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n val1.poses.append(val2)\\n self.planning_scene_diff.collision_objects.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.attached_collision_objects = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.AttachedCollisionObject()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.link_name = str[start:end].decode('utf-8')\\n else:\\n val1.link_name = str[start:end]\\n _v104 = val1.object\\n _v105 = _v104.header\\n start = end\\n end += 4\\n (_v105.seq,) = _struct_I.unpack(str[start:end])\\n _v106 = _v105.stamp\\n _x = _v106\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v105.frame_id = str[start:end].decode('utf-8')\\n else:\\n _v105.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n _v104.id = str[start:end].decode('utf-8')\\n else:\\n _v104.id = str[start:end]\\n start = end\\n end += 4\\n (_v104.padding,) = _struct_f.unpack(str[start:end])\\n _v107 = _v104.operation\\n start = end\\n end += 1\\n (_v107.operation,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v104.shapes = []\\n for i in range(0, length):\\n val3 = arm_navigation_msgs.msg.Shape()\\n start = end\\n end += 1\\n (val3.type,) = _struct_b.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sd'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.dimensions = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%si'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val3.triangles = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val3.vertices = []\\n for i in range(0, length):\\n val4 = geometry_msgs.msg.Point()\\n _x = val4\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n val3.vertices.append(val4)\\n _v104.shapes.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n _v104.poses = []\\n for i in range(0, length):\\n val3 = geometry_msgs.msg.Pose()\\n _v108 = val3.position\\n _x = _v108\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v109 = val3.orientation\\n _x = _v109\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n _v104.poses.append(val3)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n val1.touch_links = []\\n for i in range(0, length):\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val2 = str[start:end].decode('utf-8')\\n else:\\n val2 = str[start:end]\\n val1.touch_links.append(val2)\\n self.planning_scene_diff.attached_collision_objects.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.planning_scene_diff.collision_map.header.seq, _x.planning_scene_diff.collision_map.header.stamp.secs, _x.planning_scene_diff.collision_map.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.planning_scene_diff.collision_map.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.planning_scene_diff.collision_map.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.planning_scene_diff.collision_map.boxes = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.OrientedBoundingBox()\\n _v110 = val1.center\\n _x = _v110\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\\n _v111 = val1.extents\\n _x = _v111\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\\n _v112 = val1.axis\\n _x = _v112\\n start = end\\n end += 12\\n (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])\\n start = end\\n end += 4\\n (val1.angle,) = _struct_f.unpack(str[start:end])\\n self.planning_scene_diff.collision_map.boxes.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.operations.collision_operations = []\\n for i in range(0, length):\\n val1 = arm_navigation_msgs.msg.CollisionOperation()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.object1 = str[start:end].decode('utf-8')\\n else:\\n val1.object1 = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.object2 = str[start:end].decode('utf-8')\\n else:\\n val1.object2 = str[start:end]\\n _x = val1\\n start = end\\n end += 12\\n (_x.penetration_distance, _x.operation,) = _struct_di.unpack(str[start:end])\\n self.operations.collision_operations.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize_numpy(self, str, numpy):\\n try:\\n if self.plans is None:\\n self.plans = None\\n end = 0\\n start = end\\n end += 1\\n (self.error,) = _get_struct_b().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.start_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.target_pos = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.plans = []\\n for i in range(0, length):\\n val1 = poppy_torso_control.msg.Trajectory()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.joint = str[start:end].decode('utf-8')\\n else:\\n val1.joint = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.trajectory = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length)\\n self.plans.append(val1)\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.pose is None:\\n self.pose = geometry_msgs.msg.PoseWithCovariance()\\n end = 0\\n _x = self\\n start = end\\n end += 72\\n (_x.detection_id, _x.confidence, _x.pose.pose.position.x, _x.pose.pose.position.y, _x.pose.pose.position.z, _x.pose.pose.orientation.x, _x.pose.pose.orientation.y, _x.pose.pose.orientation.z, _x.pose.pose.orientation.w,) = _get_struct_Q8d().unpack(str[start:end])\\n start = end\\n end += 288\\n self.pose.covariance = _get_struct_36d().unpack(str[start:end])\\n _x = self\\n start = end\\n end += 40\\n (_x.height, _x.bbox_x, _x.bbox_y, _x.bbox_w, _x.bbox_h,) = _get_struct_5d().unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.modality = str[start:end].decode('utf-8')\\n else:\\n self.modality = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.embed_vector = struct.unpack(pattern, str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n if self.model_aligned is None:\\n self.model_aligned = articulation_msgs.msg.ModelMsg()\\n if self.data_aligned is None:\\n self.data_aligned = articulation_msgs.msg.ModelMsg()\\n end = 0\\n _x = self\\n start = end\\n end += 12\\n (_x.model_aligned.header.seq, _x.model_aligned.header.stamp.secs, _x.model_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model_aligned.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.name = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.model_aligned.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.model_aligned.track.header.seq, _x.model_aligned.track.header.stamp.secs, _x.model_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.model_aligned.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.model_aligned.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.model_aligned.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v71 = val1.position\\n _x = _v71\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v72 = val1.orientation\\n _x = _v72\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v73 = val1.stamp\\n _x = _v73\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.model_aligned.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v74 = val1.position\\n _x = _v74\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v75 = val1.orientation\\n _x = _v75\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v76 = val1.position\\n _x = _v76\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v77 = val1.orientation\\n _x = _v77\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.model_aligned.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.model_aligned.track.pose_flags = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.model_aligned.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = struct.unpack(pattern, str[start:end])\\n self.model_aligned.track.channels.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data_aligned.header.seq, _x.data_aligned.header.stamp.secs, _x.data_aligned.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data_aligned.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.name = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.params = []\\n for i in range(0, length):\\n val1 = articulation_msgs.msg.ParamMsg()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n _x = val1\\n start = end\\n end += 9\\n (_x.value, _x.type,) = _struct_dB.unpack(str[start:end])\\n self.data_aligned.params.append(val1)\\n _x = self\\n start = end\\n end += 12\\n (_x.data_aligned.track.header.seq, _x.data_aligned.track.header.stamp.secs, _x.data_aligned.track.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.data_aligned.track.header.frame_id = str[start:end].decode('utf-8')\\n else:\\n self.data_aligned.track.header.frame_id = str[start:end]\\n start = end\\n end += 4\\n (self.data_aligned.track.id,) = _struct_i.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v78 = val1.position\\n _x = _v78\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v79 = val1.orientation\\n _x = _v79\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_headers = []\\n for i in range(0, length):\\n val1 = std_msgs.msg.Header()\\n start = end\\n end += 4\\n (val1.seq,) = _struct_I.unpack(str[start:end])\\n _v80 = val1.stamp\\n _x = _v80\\n start = end\\n end += 8\\n (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.frame_id = str[start:end].decode('utf-8')\\n else:\\n val1.frame_id = str[start:end]\\n self.data_aligned.track.pose_headers.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_projected = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v81 = val1.position\\n _x = _v81\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v82 = val1.orientation\\n _x = _v82\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose_projected.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.pose_resampled = []\\n for i in range(0, length):\\n val1 = geometry_msgs.msg.Pose()\\n _v83 = val1.position\\n _x = _v83\\n start = end\\n end += 24\\n (_x.x, _x.y, _x.z,) = _struct_3d.unpack(str[start:end])\\n _v84 = val1.orientation\\n _x = _v84\\n start = end\\n end += 32\\n (_x.x, _x.y, _x.z, _x.w,) = _struct_4d.unpack(str[start:end])\\n self.data_aligned.track.pose_resampled.append(val1)\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sI'%length\\n start = end\\n end += struct.calcsize(pattern)\\n self.data_aligned.track.pose_flags = struct.unpack(pattern, str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n self.data_aligned.track.channels = []\\n for i in range(0, length):\\n val1 = sensor_msgs.msg.ChannelFloat32()\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n val1.name = str[start:end].decode('utf-8')\\n else:\\n val1.name = str[start:end]\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n pattern = '<%sf'%length\\n start = end\\n end += struct.calcsize(pattern)\\n val1.values = struct.unpack(pattern, str[start:end])\\n self.data_aligned.track.channels.append(val1)\\n start = end\\n end += 72\\n self.R = _struct_9d.unpack(str[start:end])\\n start = end\\n end += 24\\n self.T = _struct_3d.unpack(str[start:end])\\n _x = self\\n start = end\\n end += 12\\n (_x.dist_rot, _x.dist_trans,) = _struct_df.unpack(str[start:end])\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\",\n \"def deserialize(self, str):\\n try:\\n end = 0\\n _x = self\\n start = end\\n end += 152\\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _struct_2d2q14dq.unpack(str[start:end])\\n start = end\\n end += 4\\n (length,) = _struct_I.unpack(str[start:end])\\n start = end\\n end += length\\n if python3:\\n self.msg = str[start:end].decode('utf-8')\\n else:\\n self.msg = str[start:end]\\n return self\\n except struct.error as e:\\n raise genpy.DeserializationError(e) #most likely buffer underfill\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8090556","0.79776967","0.79184276","0.7907259","0.789463","0.7832683","0.7812846","0.7810829","0.7785181","0.7760294","0.77407515","0.7715958","0.77152807","0.7697747","0.7693529","0.76734644","0.76398456","0.7637652","0.7630051","0.7625139","0.76175505","0.7602249","0.75983095","0.7590952","0.7586165","0.7581761","0.7580683","0.7562143","0.7560619","0.75445175","0.75372785","0.7525827","0.75199366","0.751761","0.7507784","0.7503422","0.7499352","0.748822","0.7478975","0.74774057","0.7464224","0.7464148","0.7442258","0.7434349","0.7419428","0.7417581","0.74040604","0.7377066","0.7370135","0.73689467","0.73580915","0.73580915","0.73580915","0.7357165","0.73285925","0.7314095","0.7290994","0.7285146","0.7283325","0.7277858","0.72717184","0.72706693","0.7263214","0.7249113","0.7245086","0.7228356","0.7218869","0.7217103","0.72143674","0.72063065","0.7201617","0.71867985","0.71781397","0.7165428","0.71572816","0.71483785","0.7144235","0.71226054","0.71135926","0.70780647","0.706359","0.70511943","0.70274204","0.70264435","0.7014541","0.7012072","0.6838198","0.6833124","0.6831799","0.68098325","0.6785314","0.674752","0.672815","0.67176133","0.67135733","0.6707383","0.669748","0.6677173","0.6669211","0.665601"],"string":"[\n \"0.8090556\",\n \"0.79776967\",\n \"0.79184276\",\n \"0.7907259\",\n \"0.789463\",\n \"0.7832683\",\n \"0.7812846\",\n \"0.7810829\",\n \"0.7785181\",\n \"0.7760294\",\n \"0.77407515\",\n \"0.7715958\",\n \"0.77152807\",\n \"0.7697747\",\n \"0.7693529\",\n \"0.76734644\",\n \"0.76398456\",\n \"0.7637652\",\n \"0.7630051\",\n \"0.7625139\",\n \"0.76175505\",\n \"0.7602249\",\n \"0.75983095\",\n \"0.7590952\",\n \"0.7586165\",\n \"0.7581761\",\n \"0.7580683\",\n \"0.7562143\",\n \"0.7560619\",\n \"0.75445175\",\n \"0.75372785\",\n \"0.7525827\",\n \"0.75199366\",\n \"0.751761\",\n \"0.7507784\",\n \"0.7503422\",\n \"0.7499352\",\n \"0.748822\",\n \"0.7478975\",\n \"0.74774057\",\n \"0.7464224\",\n \"0.7464148\",\n \"0.7442258\",\n \"0.7434349\",\n \"0.7419428\",\n \"0.7417581\",\n \"0.74040604\",\n \"0.7377066\",\n \"0.7370135\",\n \"0.73689467\",\n \"0.73580915\",\n \"0.73580915\",\n \"0.73580915\",\n \"0.7357165\",\n \"0.73285925\",\n \"0.7314095\",\n \"0.7290994\",\n \"0.7285146\",\n \"0.7283325\",\n \"0.7277858\",\n \"0.72717184\",\n \"0.72706693\",\n \"0.7263214\",\n \"0.7249113\",\n \"0.7245086\",\n \"0.7228356\",\n \"0.7218869\",\n \"0.7217103\",\n \"0.72143674\",\n \"0.72063065\",\n \"0.7201617\",\n \"0.71867985\",\n \"0.71781397\",\n \"0.7165428\",\n \"0.71572816\",\n \"0.71483785\",\n \"0.7144235\",\n \"0.71226054\",\n \"0.71135926\",\n \"0.70780647\",\n \"0.706359\",\n \"0.70511943\",\n \"0.70274204\",\n \"0.70264435\",\n \"0.7014541\",\n \"0.7012072\",\n \"0.6838198\",\n \"0.6833124\",\n \"0.6831799\",\n \"0.68098325\",\n \"0.6785314\",\n \"0.674752\",\n \"0.672815\",\n \"0.67176133\",\n \"0.67135733\",\n \"0.6707383\",\n \"0.669748\",\n \"0.6677173\",\n \"0.6669211\",\n \"0.665601\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.76866287"},"document_rank":{"kind":"string","value":"15"}}},{"rowIdx":88292,"cells":{"query":{"kind":"string","value":"Construct data sets for SysRem"},"document":{"kind":"string","value":"def sysrem_data_prepare(obs, sigs, ms_obs=True, ms_feat=False):\n nds = len(obs)\n nobs = len(obs[0])\n # Residuals and STDs\n rij = np.zeros( (nobs, nds) )\n sm = np.zeros( (nobs, nds) )\n \n if len(obs) != len(sigs):\n raise(ValueError(\"Obs and sigs must have the same length.\"))\n \n for n in range(nds):\n if np.isnan(np.min(obs[n])):\n raise(PE.PyAValError(f\"NaN value found in observations no. {n}. No NaNs admissible.\"))\n if np.isnan(np.min(sigs[n])):\n raise(PE.PyAValError(f\"NaN value found in error array no. {n}. No NaNs admissible.\"))\n \n for n in range(nds):\n rij[::,n] = obs[n]\n sm[::,n] = sigs[n]\n \n if ms_obs:\n # Subtract mean for observations/experiments\n for n in range(nds):\n rij[::,n] -= np.mean(rij[::,n])\n if ms_feat:\n # Subtract mean from features/bins\n for n in range(rij.shape[0]):\n rij[n,::] -= np.mean(rij[n,::])\n\n return rij, sm, np.linspace(0,1,nobs)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def collectData(self):\n\n self.data.datahash = {} # dict of system data\n\n vmstat_dict = self._getvmstat()\n if vmstat_dict:\n self.data.datahash.update(vmstat_dict)\n\n uptime_dict = self._getuptime()\n if uptime_dict:\n self.data.datahash.update(uptime_dict)\n\n log.log( \"<system>system.collectData(): new system list created\", 7 )","def _build_datasets(self):\n self._build_datasets_sis3302()\n self._build_datasets_sis3305()","def create_sets(self,FD_SET=['FinalD'],VA_SET=['VA']):\n \n self.m.S = Set(initialize=self.sectors, doc='sectors')\n self.m.P = Set(initialize=self.products, doc='sectors')\n self.m.row = Set(initialize=self.products, doc='products')\n self.m.col = Set(initialize=self.sectors+['FinalD'], doc='sectors and final demand')\n \n self.m.rROW = Set(initialize=self.countries,ordered=True, doc='regions including export')\n self.m.R = Set(initialize=self.countries,ordered=True, doc='regions')\n\n self.m.fdemand = Set(initialize=FD_SET, doc='Final Demand')\n\n self.m.VA = Set(initialize=VA_SET, doc='value added')","def create_system_data():\n system_data = dict()\n system_data['system'] = dict()\n system_data['system']['primary'] = dict()\n system_data['system']['primary']['controllers'] = dict()\n system_data['system']['primary']['controllers']['re0'] = dict()\n system_data['system']['primary']['controllers']['re0']['hostname'] = 'abc'\n system_data['system']['primary']['controllers']['re0']['mgt-ip'] = '1.1.1.1'\n system_data['system']['primary']['controllers']['re0']['osname'] = 'Paragon'\n system_data['system']['primary']['name'] = 'abc'\n system_data['system']['primary']['model'] = 'Paragon'\n system_data['system']['primary']['make'] = 'Calnex'\n system_data['system']['primary']['server-ip'] = '1.1.1.2'\n system_data['system']['primary']['osname'] = 'Paragon'\n return system_data","def __init__(self):\n self.machines = {}\n self.configs = {}\n self.systems = {}\n self.jobs = {}\n self.benchmarks = {}\n self.projects = {}","def _data():\n data = {s: {} for s in systems}\n\n # PbPb2760 and PbPb5020 dNch/deta\n for system, args, name in [\n ('PbPb2760', (880049, 1), 'D(N)/DETARAP'),\n ('PbPb5020', (1410589, 2),\n r'$\\mathrm{d}N_\\mathrm{ch}/\\mathrm{d}\\eta$'),\n ]:\n data[system]['dNch_deta'] = {None: HEPData(*args).dataset(name)}\n\n # PbPb2760 transverse energy\n # ignore bin 0-5 since it's redundant with 0-2.5 and 2.5-5\n dset = HEPData(1427723, 1).dataset('$E_{T}$', ignore_bins=[(0, 5)])\n dset['yerr']['sys'] = dset['yerr'].pop('sys,total')\n data['PbPb2760']['dET_deta'] = {None: dset}\n\n # PbPb2760 identified dN/dy and mean pT\n system = 'PbPb2760'\n\n for obs, table, combine_func in [\n ('dN_dy', 31, np.sum),\n ('mean_pT', 32, np.mean),\n ]:\n data[system][obs] = {}\n d = HEPData(1222333, table)\n for key, re_products in [\n ('pion', ['PI+', 'PI-']),\n ('kaon', ['K+', 'K-']),\n ('proton', ['P', 'PBAR']),\n ]:\n dsets = [\n d.dataset(RE='PB PB --> {} X'.format(i))\n for i in re_products\n ]\n\n data[system][obs][key] = dict(\n dsets[0],\n y=combine_func([d['y'] for d in dsets], axis=0),\n yerr={\n e: combine_func([d['yerr'][e] for d in dsets], axis=0)\n for e in dsets[0]['yerr']\n }\n )\n\n # PbPb2760 strange baryon yields\n data['PbPb2760']['dN_dy']['Lambda'] = HEPData(1243863, 23).dataset(\n RE='PB PB --> LAMBDA X'\n )\n\n d = HEPData(1243865, 11)\n for s in ['Xi', 'Omega']:\n data[system]['dN_dy'][s] = d.dataset(\n RE='PB PB --> ({0}- + {0}BAR+) X'.format(s.upper())\n )\n\n # PbPb2760 mean pT fluctuations\n d = HEPData(1307102, 6, reverse=True)\n name = r'$\\sqrt{C_m}/M(p_{\\rm T})_m$'\n # the table only has Npart, but they are actually 5% centrality bins\n width = 5.\n d.cent = [(n*width, (n+1)*width) for n, _ in enumerate(d.y(name))]\n data['PbPb2760']['pT_fluct'] = {None: d.dataset(name, maxcent=60)}\n\n # PbPb2760 and PbPb5020 flows\n for system, tables_nk in [\n ('PbPb5020', [\n (1, [(2, 2), (2, 4)]),\n (2, [(3, 2), (4, 2)]),\n ]),\n ('PbPb2760', [\n (3, [(2, 2), (2, 4)]),\n (4, [(3, 2), (4, 2)]),\n ]),\n ]:\n data[system]['vnk'] = {}\n\n for table, nk in tables_nk:\n d = HEPData(1419244, table)\n for n, k in nk:\n data[system]['vnk'][n, k] = d.dataset(\n 'V{}{{{}{}}}'.format(\n n, k, ', |DELTAETA|>1' if k == 2 else ''\n ),\n maxcent=(70 if n == 2 else 50)\n )\n\n # PbPb2760 central flows vn{2}\n system, obs = 'PbPb2760', 'vnk_central'\n data[system][obs] = {}\n\n for n, table, sys_err_frac in [(2, 11, .025), (3, 12, .040)]:\n dset = HEPData(900651, table).dataset()\n # the (unlabeled) errors in the dataset are actually stat\n dset['yerr']['stat'] = dset['yerr'].pop('sum')\n # sys error is not provided -- use estimated fractions\n dset['yerr']['sys'] = sys_err_frac * dset['y']\n data[system][obs][n, 2] = dset\n\n # PbPb2760 flow correlations\n for obs, table in [\n ('sc', 1),\n ('sc_normed', 2),\n ('sc_central', 3),\n ('sc_normed_central', 4)\n ]:\n d = HEPData(1452590, table)\n data['PbPb2760'][obs] = {\n mn: d.dataset('SC({},{})'.format(*mn))\n for mn in [(3, 2), (4, 2)]\n }\n\n return data","def initialize_data(self , station = '', datasets = {} ):\n \n self.datasets = datasets\n self.datasets_keys = datasets.keys()\n self.station = station\n \n data = {} # container for the data of each dataset\n source_configuration = {} # container for the source_configuration of each dataset\n \n\n \n \"\"\" Looping over the datasets \"\"\"\n logging.info('*** Reading and Initializing the data from the netCDF files ')\n \n \n for k,v in datasets.items() :\n logging.info(' Initialising the dataset: *** %s ' , k )\n data[k] = {} \n data['cdm_tables'] = {} \n \n ### alternative with xarray \n #ds = xr.load_dataset(v) \n #observations_table = xr.open_dataset(v , engine = 'h5netcdf' , group = 'observations_table') \n \n ### alternative with netCDF4\n #ds = nc.Dataset(v) \n #data[k]['dateindex'] = ds.variables['dateindex'][0,:] # storing the dateindex \n \n ###for h5py but cant extract date time units !!!\n ds = h5py.File(v , driver=\"core\" ) \n data[k]['df'] = ds # storing the entire file \n try: \n data[k]['source_file'] = ds['source_configuration']['source_file'][0]\n except:\n data[k]['source_file'] = str(v) # temp fix \n \n #data[k]['product_code'] = ds['source_configuration']['product_code'][0] \n #data[k]['recordtimestamp'] = ds['recordtimestamp'].value\n #data[k]['recordindex'] = ds['recordindex'].value \n #ds.close() \n logging.debug('Reading the file with h5py ')\n \n \n # add here appending datasets for the case of ncar_w and ncar_t \n \n \n self.data = data\n self.make_dataframe()\n ds.close()\n \n \"\"\" Reading the header_table, station_configuration, source_configuration \"\"\"\n for k,v in datasets.items() : \n \n #d = xr.open_dataset(v , engine = 'h5netcdf' ) \n #data[k]['recordtimestamp'] = d['recordtimestamp'].values\n #data[k]['recordindex'] = d['recordindex'].values \n \n \n d = xr.open_dataset(v , engine = 'h5netcdf' , group = 'station_configuration') \n data[k]['station_configuration'] = d.to_dataframe() \n #data[k]['station_configuration'] = d ### USELESS ? \n logging.debug('Done with %s station_configuration' , str(k) )\n \n \n d = xr.open_dataset(v , engine = 'h5netcdf' , group = 'header_table') \n logging.debug('Loading the header_table') \n if 'header_table' not in list( self.attributes.keys() ): # saving the attributes to be re-applied at the end\n self.attributes['header_table'] = {}\n for var in d.variables:\n self.attributes['header_table'][var] = {}\n self.attributes['header_table'][var]['description'] = d[var].description\n self.attributes['header_table'][var]['external_table'] = d[var].external_table \n data[k]['header_table'] = d.to_dataframe() \n logging.debug('Done with %s ' , k )\n \n logging.info(\"*** Loading the observations_table (might take time) %s\" , k ) \n d = xr.open_dataset(v , engine = 'h5netcdf' , group = 'observations_table') \n \n if 'observations_table' not in list( self.attributes.keys() ): # saving the attributes to be re-applied at the end\n self.attributes['observations_table'] = {}\n for var in d.variables:\n self.attributes['observations_table'][var] = {}\n self.attributes['observations_table'][var]['description'] = d[var].description\n self.attributes['observations_table'][var]['external_table'] = d[var].external_table\n \n \n logging.info(\"*** Loading the source configuration %s\" , k ) \n try: \n d = xr.open_dataset(v , engine = 'h5netcdf' , group = 'source_configuration')\n d = d.isel(hdrlen=[0])\n data[k]['source_configuration'] = d.to_dataframe() ### USELESS ? \n logging.debug('Done with %s source_configuration' , k )\n except: \n data[k]['source_configuration']= pd.DataFrame(np.array( [ [ self.data[k]['source_file'] ] ] ) , columns=['source_file'] ) \n \n if k == 'era5_1': # reading the whole era5_1 feedback (including reanalysis)\n d = xr.open_dataset(v , engine = 'h5netcdf' , group = 'era5fb') \n data[k]['era5fb'] = d.to_dataframe() \n logging.debug('Done with %s era5 feedback ', k )\n \n \"\"\" Reading the CDM tables that do not depend on specific stations or observations (fixed values), for the first file only \"\"\" \n if list(datasets.keys()).index(k) == 0 :\n for t in [ 'crs' , 'observed_variable', 'units' , 'z_coordinate_type' , 'station_type']: \n \n d = xr.open_dataset(v , engine = 'h5netcdf' , group = t) \n #data['cdm_tables'][t] = d.to_dataframe() ### USELESS ?\n data['cdm_tables'][t] = d \n \n d.close() \n ds.close()\n\n \"\"\" Reading the name of the original source file \"\"\"\n source_configuration[k] = {} \n source_configuration[k]['source_file'] = [ c for c in v.split('/') if '.nc' in c][0]\n\n \n \"\"\" Storing the station configurations \"\"\" \n self.source_configuration = source_configuration \n \n \"\"\" Making all date_times \"\"\" \n self.make_all_datetime()\n \n \n \"\"\" feedback columns \"\"\"\n if 'era5_1' in list (self.data.keys() ):\n self.fb_columns = list(self.data['era5_1']['era5fb'].columns ) \n else:\n self.fb_columns = ['empty']","def _make_data(self):\n pdf_datasets_all = make_pdf_datasets(self.pdf_list, self.xlims, self.ylims, self.tlims, self.dims, 9)\n self.pdf_dataset = np.concatenate(pdf_datasets_all, axis = 0)\n self.PDE_dataset = make_PDE_dataset(self.num_collocation, self.xlims, self.ylims, self.tlims, self.dims)\n self.BC_dataset = make_BC_dataset(self.num_BC, self.xlims, self.ylims, self.tlims, self.dims)","def _build_datasets_sis3302(self):\n bc_arr = np.where(self._active_brdch[\"SIS 3302\"])\n\n for board, channel in zip(bc_arr[0], bc_arr[1]):\n brd = board + 1\n ch = channel + 1\n slot = self.get_slot(brd, \"SIS 3302\")\n\n for cname in self._active_config:\n # create main dataset\n dset_name = f\"{cname} [Slot {slot}: SIS 3302 ch {ch}]\"\n shape = (self._sn_size, self._nt)\n data = np.empty(shape=shape, dtype=np.int16)\n self.create_dataset(dset_name, data=data)\n\n # create header dataset\n hdset_name = f\"{dset_name} headers\"\n shape = (self._sn_size,)\n dtype = np.dtype(\n [\n (\"Shot number\", np.int32),\n (\"Scale\", np.float32),\n (\"Offset\", np.float32),\n (\"Min\", np.uint16),\n (\"Max\", np.uint16),\n (\"Clipped\", np.int8),\n ]\n )\n dheader = np.empty(shape=shape, dtype=dtype)\n dheader[\"Shot number\"] = np.arange(\n 1, shape[0] + 1, 1, dtype=dheader[\"Shot number\"].dtype\n )\n dheader[\"Scale\"] = 7.7241166e-5\n dheader[\"Offset\"] = -2.531\n dheader[\"Min\"] = data.min(axis=1)\n dheader[\"Max\"] = data.max(axis=1)\n dheader[\"Clipped\"] = 0\n self.create_dataset(hdset_name, data=dheader)","def get_data():\n \n data = {\n 'loadAvg1Min': 0, #load average 1 min\n 'loadAvg5Min': 0, #load average 5 min\n 'loadAvg15Min': 0, #load average 15 min\n 'cpuUsage': [], #usage distribution for each cpu\n 'memUsage': {}, #memory usage \n 'networkReads': [], #network reads per second for each interface\n 'networkWrites': [], #network writes per second for each interface\n 'diskReads': [], #disk reads per second for each disk\n 'diskWrites': [] #disk writes per second for each disk\n }\n \n #metrics that doesnt need sampling\n data['loadAvg1Min'], data['loadAvg5Min'], data['loadAvg15Min'] = get_load_avg() #get load avg\n data['memUsage'].update(get_mem_usage()) #memory usage\n \n #metrics that needs sampling\n #they are written as a generator so that we can sleep before collection again\n sampling_duration = 1\n cpu_usage_gen = get_cpu_usage(sampling_duration) #generator for cpu usage\n net_rw_gen = get_net_rw(sampling_duration) #generator for network read write\n disk_rw_gen = get_disk_rw(sampling_duration) #generator for disk read write\n \n while 1: #now start sampling, whenever we have walid data, we can exit the loop\n cpu_usage = next(cpu_usage_gen)\n net_rw = next(net_rw_gen)\n disk_rw = next(disk_rw_gen)\n \n if cpu_usage or net_rw or disk_rw: #we have valid data\n break\n \n time.sleep(sampling_duration)\n \n #append cpu usage for each cpu core\n for cpu, usage in cpu_usage.items():\n data['cpuUsage'].append({'name': cpu, 'value': usage})\n \n #append network read and write for each interface\n for interface, rw in net_rw.items():\n data['networkReads'].append({'name': interface, 'value': rw['reads']})\n data['networkWrites'].append({'name': interface, 'value': rw['writes']}) \n \n #append disk read and write for each logical disk\n for device, rw in disk_rw.items():\n data['diskReads'].append({'name': device, 'value': rw['reads']})\n data['diskWrites'].append({'name': device, 'value': rw['writes']})\n \n return data","def create_sets(self,FD_SET=[],VA_SET=[]):\n \n self.m.S = Set(initialize=self.sectors, doc='sectors')\n\n if self.EORA is True:\n self.m.rROW = Set(initialize=self.countries+['ROW'],ordered=True, doc='regions including export')\n self.m.R = Set(initialize=self.countries+['ROW'],ordered=True, doc='regions')\n else:\n self.m.rROW = Set(initialize=self.countries,ordered=True, doc='regions including export')\n self.m.R = Set(initialize=self.countries,ordered=True, doc='regions')\n\n if self.EORA is True:\n self.m.fdemand = Set(initialize=['P3h', 'P3n','P3g', 'P51','P52','P53'], doc='Final Demand')\n else:\n self.m.fdemand = Set(initialize=self.fd_cat, doc='Final Demand')\n\n if self.EORA is True:\n self.m.VA = Set(initialize=['VA'], doc='value added')\n else:\n self.m.VA = Set(initialize=VA_SET, doc='value added')","def build_data_set(self):\n if not self.assert_data_correct():\n self.download_all_data()\n self.unpack_rename_data()\n self.split_data_characters()\n self.clean_data_fragments()\n self.create_font_data()\n if not self.assert_train_augmented():\n self.augment_train_data()\n if not self.assert_style_data_correct():\n self.download_style_data()\n self.unpack_rename_data()","def bootstrap(self):\n\n\t\t#---paths.yaml specifies directories which might be absent so make them\n\t\tif not os.path.isdir(self.postdir): os.mkdir(self.postdir)\n\t\tif not os.path.isdir(self.plotdir): os.mkdir(self.plotdir)\n\t\t#---parse the simulations found in each \"spot\"\n\t\tfor spot in self.spots: self.treeparser(spot)\n\t\t#---if there is a part named edr then we use it to get simulation times\n\t\t#---! edr files are required to infer times for slicing however we might also use xtc or trr later\n\t\tassert 'edr' in zip(*self.spots.keys())[1]\n\t\tself.treeparser_edr()\n\t\t#---data are stored in dictionaries by spot name\n\t\tall_top_keys = [i for j in [k.keys() for k in self.toc.values()] for i in j]\n\n\t\t#---! under development\n\t\tfor key in ['post','groups','slices']:\n\t\t\tif key not in self.members_with_specific_parts:\n\t\t\t\tself.__dict__[key] = {i:{} for i in all_top_keys}\n\t\t\telse: self.__dict__[key] = {(spot,i):{} \n\t\t\t\tfor spot in self.toc for i in self.toc[spot]}\n\t\tself.save()","def _build_datasets_sis3305(self):\n bc_arr = np.where(self._active_brdch[\"SIS 3305\"])\n\n for board, channel in zip(bc_arr[0], bc_arr[1]):\n brd = board + 1\n ch = channel + 1\n slot = self.get_slot(brd, \"SIS 3305\")\n if 1 <= ch <= 4:\n fpga_str = \"FPGA 1\"\n else:\n fpga_str = \"FPGA 2\"\n ch = ch - 4\n\n for cname in self._active_config:\n # create main dataset\n dset_name = f\"{cname} [Slot {slot}: SIS 3305 {fpga_str} ch {ch}]\"\n shape = (self._sn_size, self._nt)\n data = np.empty(shape=shape, dtype=np.int16)\n self.create_dataset(dset_name, data=data)\n\n # create header dataset\n hdset_name = f\"{dset_name} headers\"\n shape = (self._sn_size,)\n dtype = np.dtype(\n [\n (\"Shot number\", np.int32),\n (\"Scale\", np.float32),\n (\"Offset\", np.float32),\n (\"Min\", np.uint16),\n (\"Max\", np.uint16),\n (\"Clipped\", np.int8),\n ]\n )\n dheader = np.empty(shape=shape, dtype=dtype)\n dheader[\"Shot number\"] = np.arange(\n 1, shape[0] + 1, 1, dtype=dheader[\"Shot number\"].dtype\n )\n dheader[\"Scale\"] = 0.0019550342\n dheader[\"Offset\"] = -1.0\n dheader[\"Min\"] = data.min(axis=1)\n dheader[\"Max\"] = data.max(axis=1)\n dheader[\"Clipped\"] = 0\n self.create_dataset(hdset_name, data=dheader)","def __init__(\n self,\n folder,\n norm=True,\n target=\"semantic\",\n cache=False,\n mem16=False,\n folds=None,\n reference_date=\"2018-09-01\",\n class_mapping=None,\n mono_date=None,\n sats=[\"S2\"],\n ):\n super(PASTIS_Dataset, self).__init__()\n self.folder = folder\n self.norm = norm\n self.reference_date = datetime(*map(int, reference_date.split(\"-\")))\n self.cache = cache\n self.mem16 = mem16\n self.mono_date = (\n datetime(*map(int, mono_date.split(\"-\")))\n if isinstance(mono_date, str)\n else mono_date\n )\n self.memory = {}\n self.memory_dates = {}\n self.class_mapping = (\n np.vectorize(lambda x: class_mapping[x])\n if class_mapping is not None\n else class_mapping\n )\n self.target = target\n self.sats = sats\n\n # Get metadata\n print(\"Reading patch metadata . . .\")\n self.meta_patch = gpd.read_file(os.path.join(folder, \"metadata.geojson\"))\n self.meta_patch.index = self.meta_patch[\"ID_PATCH\"].astype(int)\n self.meta_patch.sort_index(inplace=True)\n\n self.date_tables = {s: None for s in sats}\n self.date_range = np.array(range(-200, 600))\n for s in sats:\n dates = self.meta_patch[\"dates-{}\".format(s)]\n date_table = pd.DataFrame(\n index=self.meta_patch.index, columns=self.date_range, dtype=int\n )\n for pid, date_seq in dates.iteritems():\n d = pd.DataFrame().from_dict(date_seq, orient=\"index\")\n d = d[0].apply(\n lambda x: (\n datetime(int(str(x)[:4]), int(str(x)[4:6]), int(str(x)[6:]))\n - self.reference_date\n ).days\n )\n date_table.loc[pid, d.values] = 1\n date_table = date_table.fillna(0)\n self.date_tables[s] = {\n index: np.array(list(d.values()))\n for index, d in date_table.to_dict(orient=\"index\").items()\n }\n\n print(\"Done.\")\n\n # Select Fold samples\n if folds is not None:\n self.meta_patch = pd.concat(\n [self.meta_patch[self.meta_patch[\"Fold\"] == f] for f in folds]\n )\n\n self.len = self.meta_patch.shape[0]\n self.id_patches = self.meta_patch.index\n\n # Get normalisation values\n if norm:\n self.norm = {}\n for s in self.sats:\n with open(\n os.path.join(folder, \"NORM_{}_patch.json\".format(s)), \"r\"\n ) as file:\n normvals = json.loads(file.read())\n selected_folds = folds if folds is not None else range(1, 6)\n means = [normvals[\"Fold_{}\".format(f)][\"mean\"] for f in selected_folds]\n stds = [normvals[\"Fold_{}\".format(f)][\"std\"] for f in selected_folds]\n self.norm[s] = np.stack(means).mean(axis=0), np.stack(stds).mean(axis=0)\n self.norm[s] = (\n torch.from_numpy(self.norm[s][0]).float(),\n torch.from_numpy(self.norm[s][1]).float(),\n )\n else:\n self.norm = None\n print(\"Dataset ready.\")","def setup(self):\n # get unsorted vs sorted units\n data_dict = mat73.loadmat(self.file)\n units_unsorted = []\n units_sorted = []\n for ch_curr in data_dict['spikes']:\n units_unsorted.append(ch_curr[0]) # from data description, first unit is unsorted\n for unit_curr in ch_curr[1:]:\n if unit_curr is not None:\n units_sorted.append(unit_curr)\n \n # getting binned spikes\n bin_size_ms = 10\n # window for binning\n mintime, maxtime = 100, 0\n for spk_times_curr in units_sorted:\n mintime = min(spk_times_curr[0], mintime)\n maxtime = max(spk_times_curr[-1], maxtime)\n # get binned spikes\n spk_bins = np.arange(mintime, maxtime, bin_size_ms/1000)\n spks_binned = []\n for i, unit_curr in enumerate(units_sorted):\n spks_binned_curr, _ = np.histogram(unit_curr, bins=spk_bins, range=(spk_bins[0], spk_bins[-1]))\n spks_binned.append(spks_binned_curr)\n self.data = np.array(spks_binned).T\n\n self.l = 1 # columns per update\n l1 = 100 # columns used to initialize\n self.t = l1\n self.num_iters = np.floor((self.data.shape[0] - l1 - self.l)/self.l).astype('int')\n\n #send to dim reduction\n init_id = self.client.put([self.data.shape[0], self.data[:l1, :]], \"init_data\")\n logger.info(\"Putted init data\")\n self.q_out.put(init_id)","def setup_datavault(self, x_axis, y_axis):\n\n yield self.dv.cd(['', self.name], True)\n\n # datasets for each laser\n self.dataset = yield self.dv.new(self.name + ' ML', [( 't', 'num')], [('GHz', '', 'num')])","def get_data_subsets(t0, t1):\n\n # Iridium data:\n irid = iridium[(iridium.time >= t0) & (iridium.time <= t1)]\n irid_B = np.vstack((irid.B_e.values, irid.B_n.values, irid.B_r.values))\n irid_coords = np.vstack((irid.lon.values, irid.lat.values, irid.r.values))\n\n # SuperMAG data:\n smag = supermag.loc[t0:t1, :]\n smag_B = np.vstack((smag.Be.values, smag.Bn.values, smag.Bu.values))\n smag_coords = np.vstack((smag.lon.values, smag.lat.values))\n\n # SuperDARN data:\n sd = superdarn.loc[t0:t1, :]\n vlos = sd['vlos'].values\n sd_coords = np.vstack((sd['glon'].values, sd['glat'].values))\n los = np.vstack((sd['le'].values, sd['ln'].values))\n\n\n # Make the data objects. The scale keyword determines a weight for the dataset. Increase it to reduce weight\n iridium_data = lompe.Data(irid_B * 1e-9, irid_coords, datatype = 'space_mag_fac', scale = 200e-9)\n supermag_data = lompe.Data(smag_B * 1e-9, smag_coords, datatype = 'ground_mag' , scale = 100e-9)\n superdarn_data = lompe.Data(vlos , sd_coords , LOS = los, datatype = 'convection' , scale = 500 )\n\n return(iridium_data, supermag_data, superdarn_data)","def dsinfomaker(compath, backpath, mwb, tcfs, SR=\"SR\"):#yrs, ves,\r\n\tdsinfo = OrderedDict()\r\n\t# ==========\r\n\tdsinfo[\"GFED\"] = ({\"alias\":\"GFED4.1\",\"long_name\":\"FRI\", \"units\":\"yrs\"})\r\n\tdsinfo[\"MODIS\"] = ({\"alias\":\"MCD64A1\", \"long_name\":\"FRI\",\"units\":\"yrs\", \"version\":\"v006\"})\r\n\tdsinfo[\"esacci\"] = ({\"alias\":\"FireCCI5.1\", \"long_name\":\"FRI\",\"units\":\"yrs\"})\r\n\tdsinfo[\"COPERN_BA\"] = ({\"alias\":\"CGLS\", \"long_name\":\"FRI\",\"units\":\"yrs\"})\r\n\tdsinfo[\"HANSEN_AFmask\"] = ({\"alias\":\"Hansen GFC & MCD14ML\", \"long_name\":f'FRI$_{{{SR}}}$',\"units\":\"yrs\"})\r\n\tdsinfo[\"HANSEN\"] = ({\"alias\":\"Hansen GFC\", \"long_name\":\"DRI\",\"units\":\"yrs\"})\r\n\tdsinfo[\"Risk\"] = ({\"alias\":\"Forest Loss Risk\"})\r\n\t# dsinfo[\"FutureRisk\"] = ({\"alias\":\"Forest Loss Risk\"})\r\n\tdsinfo[\"SRfrac\"] = ({\"alias\":\"Stand Replacing Fire Percentage\", \"long_name\":f'FRI$_{{{\"SR\"}}}$ %'})\r\n\r\n\tfor dsnm in dsinfo:\r\n\t\tif dsnm.startswith(\"H\"):\r\n\t\t\t# +++++ make a path +++++\r\n\t\t\tppath = compath + \"/BurntArea/HANSEN/FRI/\"\r\n\t\t\tfname = \"%s%s_annual_burns_MW_%ddegreeBox.nc\" % (dsnm, tcfs, mwb)\r\n\t\t\t# fname = \"%s%s_annual_burns_MW_%ddegreeBox.nc\" % (dsnm, mwb)\r\n\t\telif dsnm == \"Risk\":\r\n\t\t\tppath = compath + \"/BurntArea/Risk/FRI/\"\r\n\t\t\tfname = \"%s_annual_burns_MW_%ddegreeBox.nc\" % (dsnm, mwb)\r\n\t\t\tcf.pymkdir(ppath)\r\n\t\t# elif dsnm == \"FutureRisk\":\r\n\t\t# \tppath = compath + \"/BurntArea/Risk/FRI/\"\r\n\t\t# \tfname = f\"{dsnm}_annual_burns_MW_{mwb}degreeBox_{yrs}yrs_{ves}.nc\" \r\n\t\t# \tcf.pymkdir(ppath)\r\n\t\telse:\r\n\t\t\t# fname = \"Hansen_GFC-2018-v1.6_regrided_esacci_FRI_%ddegMW_SIBERIA\" % (mwb)\r\n\t\t\tppath = compath + \"/BurntArea/%s/FRI/\" % dsnm\r\n\t\t\tfname = \"%s_annual_burns_MW_%ddegreeBox.nc\" % (dsnm, mwb)\r\n\t\t# +++++ open the datasets +++++\r\n\t\tdsinfo[dsnm][\"fname\"] = ppath+fname\r\n\r\n\r\n\treturn dsinfo","def create_sets():\n global train_x, train_y, val_x, val_y\n\n print('Creating sets')\n\n dataframe = pd.read_csv('LoggerBot.log', names=NAMES).sample(frac=1)\n inputs = dataframe.values[:,:-1].astype(np.float32)\n outputs = dataframe.values[:,-1].astype(np.int32)\n\n train_set_size = int(len(dataframe) * 0.7)\n train_x, train_y = inputs[:train_set_size], outputs[:train_set_size]\n val_x, val_y = inputs[train_set_size:], outputs[train_set_size:]","def _make_meta(self):\n available_meas_times = list()\n available_intervals = list()\n drill_by = list()\n related = list()\n last_data_set_instance = dict()\n\n if self._data['report_save_historical_instances_ind'] == 'Y':\n # last measurement instance\n res = self._db.Query(\"\"\"SELECT *\n FROM report_data_set_instance\n WHERE\n `element_id`=%s\n AND `segment_value_id` = %s\n ORDER BY measurement_time DESC\n LIMIT 0, 1\"\"\",(self._id, self._segment_value_id))\n if res:\n last_data_set_instance = self._db.record[0]\n last_data_set_instance['measurement_time'] = self._formatter.format_date(last_data_set_instance['measurement_time'])\n\n # available measurement instances\n res = self._db.Query(\"\"\"SELECT *\n FROM report_data_set_instance\n WHERE\n `element_id`=%s\n AND `segment_value_id` = %s\n ORDER BY measurement_time DESC\"\"\",(self._id, self._segment_value_id))\n if res:\n for data_set_instance in self._db.record:\n data_set_instance['measurement_time'] = self._formatter.format_date(data_set_instance['measurement_time'])\n available_meas_times.append(data_set_instance)\n \n\n # get drill by. not for this version\n\n # available measurement intervals\n if self._data['report_primary_shared_dimension_id'] is None:\n self._data['report_primary_shared_dimension_id'] = 0\n\n self._db.Query(\"\"\"\n SELECT measurement_interval.*,\n dashboard_element.element_id\n FROM dashboard_element\n LEFT JOIN measurement_interval\n ON measurement_interval.measurement_interval_id = dashboard_element.measurement_interval_id\n WHERE\n (dashboard_element.`element_id`<>%s\n AND dashboard_element.measurement_interval_id <> %s\n AND dashboard_element.shared_measure_id = %s\n AND dashboard_element.`type` = 'internal report'\n AND ifnull(dashboard_element.report_used_for_drill_to_ind,'N') = %s\n AND ifnull(dashboard_element.report_primary_shared_dimension_id,0) = %s\n AND ifnull(dashboard_element.segment_id,0) = %s)\n OR\n dashboard_element.`element_id`=%s\n AND 3=4\n \n GROUP BY measurement_interval.measurement_interval_id\n ORDER BY\n measurement_interval.display_sequence,\n dashboard_element.name ASC\n \"\"\",\n (self._id,\n self._data['measurement_interval_id'],\n self._data['shared_measure_id'],\n self._data['report_used_for_drill_to_ind'],\n self._data['report_primary_shared_dimension_id'],\n self._data['segment_id'],\n self._id))\n\n\n for interval in self._db.record:\n interval['report_data_set_instance_id'] = 0\n available_intervals.append(interval)\n\n # see related\n self._db.Query(\"\"\"SELECT e.*\n FROM dashboard_element_topic det, dashboard_element e\n WHERE e.element_id = det.dashboard_element_id\n AND dashboard_element_id <> %s\n AND e.enabled_ind = 'Y'\n AND topic_id IN (select topic_id from dashboard_element_topic where dashboard_element_id = %s)\n UNION SELECT e.*\n FROM dashboard_element e, metric_drill_to_report m\n WHERE m.metric_element_id = e.element_id\n AND m.report_element_id = %s\n AND e.enabled_ind = 'Y'\n AND ifnull(e.segment_id,0) = %s\n \"\"\", (self._id, self._id, self._id, self._data['segment_id']))\n \n\n for related_element in self._db.record:\n if not related_element['segment_id']:\n related_element['segment_id'] = 0\n if related_element['segment_id'] == self._data['segment_id']:\n related_element['segment_value_id'] = self._segment_value_id\n else:\n related_element['segment_value_id'] = 0\n related.append(related_element)\n\n # elements displayed on the page\n before_dataset = list()\n after_dataset = list()\n \n charts_before_dataset = list()\n charts_after_dataset = list()\n \n \n # dataset table\n dataset_el = OrderedDict()\n dataset_el['element_id'] = ''\n dataset_el['element_type'] = 'dataset'\n dataset_el['element_name'] = ''\n dataset_el['element_desc'] = ''\n dataset_el['placement'] = ''\n dataset_el['sequence'] = 0\n dataset_el['show_ind'] = self._data['show_data_set_table_in_report_ind']\n \n \n # charts\n self._db.Query(\"\"\"SELECT *\n FROM report_data_set_chart \n WHERE \n `element_id`= %s\n AND \n (ISNULL(report_data_set_pivot_id)\n OR report_data_set_pivot_id = 0) \n ORDER BY display_sequence ASC\"\"\", (self._id, ))\n for chart in self._db.record:\n chart_el = OrderedDict()\n chart_el['element_id'] = chart['report_data_set_chart_id']\n chart_el['element_type'] = 'chart'\n chart_el['pivot_id'] = 0\n if chart['report_data_set_pivot_id']:\n chart_el['pivot_id'] = chart['report_data_set_pivot_id']\n chart_el['element_name'] = chart['name']\n chart_el['element_desc'] = chart['description']\n chart_el['placement'] = chart['chart_placement']\n chart_el['sequence'] = chart['display_sequence']\n chart_el['show_ind'] = chart['enabled_ind']\n if chart_el['placement'] == 'before table': \n charts_before_dataset.append(chart_el)\n else:\n charts_after_dataset.append(chart_el)\n \n # pivots\n self._db.Query(\"\"\"SELECT *\n FROM report_data_set_pivot\n WHERE\n `element_id`= %s\n ORDER BY display_sequence ASC\"\"\", (self._id, ))\n for pivot in self._db.record:\n before_pivot = list()\n after_pivot = list()\n #pivot_element = list()\n \n pivot_el = OrderedDict()\n pivot_el['element_id'] = pivot['report_data_set_pivot_id']\n pivot_el['element_type'] = 'pivot'\n pivot_el['element_name'] = pivot['name']\n pivot_el['element_desc'] = ''\n pivot_el['placement'] = pivot['pivot_table_report_placement']\n pivot_el['sequence'] = pivot['display_sequence']\n pivot_el['show_ind'] = pivot['enabled_ind']\n \n # charts\n self._db.Query(\"\"\"SELECT *\n FROM report_data_set_chart \n WHERE \n `element_id`= %s\n AND report_data_set_pivot_id = %s \n ORDER BY display_sequence ASC\"\"\",\n (self._id, pivot_el['element_id']))\n for chart in self._db.record:\n chart_el = OrderedDict()\n chart_el['element_id'] = chart['report_data_set_chart_id']\n chart_el['element_type'] = 'chart'\n chart_el['pivot_id'] = 0\n if chart['report_data_set_pivot_id']:\n chart_el['pivot_id'] = chart['report_data_set_pivot_id']\n chart_el['element_name'] = chart['name']\n chart_el['element_desc'] = chart['description']\n chart_el['placement'] = chart['chart_placement']\n chart_el['sequence'] = chart['display_sequence']\n chart_el['show_ind'] = chart['enabled_ind']\n if chart_el['placement'] == 'before table': \n before_pivot.append(chart_el)\n else:\n after_pivot.append(chart_el)\n pivot_element = before_pivot + [pivot_el] + after_pivot \n \n if pivot_el['placement'] == 'before data set':\n before_dataset += pivot_element\n else:\n after_dataset += pivot_element\n elements = charts_before_dataset + before_dataset + [dataset_el] + after_dataset + charts_after_dataset\n \n \n self._jfile.make_current_meta(last_data_set_instance,\n available_meas_times,\n available_intervals,\n drill_by,\n related,\n elements,\n self._segment_values)","def _addCollections(self):\n\n self._colls = dict.fromkeys(self._listOfTargets)\n self._collsNew = dict.fromkeys(self._listOfTargets)\n self._collsMiss = dict.fromkeys(self._listOfTargets)\n self._collsNoLink = dict.fromkeys(self._listOfTargets)\n\n for target in self._listOfTargets:\n self._colls[target] = self._dbUtil.getCollection('XRD_' + self._baseColl[target])\n self._collsNew[target] = self._dbUtil.getCollection('XRD_' + self._baseColl[target]+'_new')\n self._collsMiss[target] = self._dbUtil.getCollection('XRD_' + self._baseColl[target]+'_missing')\n self._collsNoLink[target] = self._dbUtil.getCollection('XRD_' + self._baseColl[target]+'_brokenLink')\n\n self._collDataServer = self._dbUtil.getCollection(\"XRD_DataServers\")","def fill_dataset(self):\n rm, rstd = self.get_rolling_stats()\n\n self.add_rolling_mean(rm)\n self.add_bollinger_bands(rstd)\n self.add_spy_info()\n self.add_beta_and_sharpe()\n self.add_stlouis_data()","def create_data_structures(self):\n # Data storage arrays for time and measurement\n # Create the array of zeros and preallocating\n start_time = time.time()\n # The number of data points has to be optimized\n self.data_points = 5000\n # prs_data has three rows, 0 = time, 1 = pressure - tare, 2 = raw_pressure\n self.prs_data = np.zeros([3, self.data_points])\n self.prs_data[0, :] = start_time\n # This queue receives data from the sensors and puts it in the graphs and sends to the \n # LifoQueue\n self.prs_q = Queue()\n # The lifo queue is created to send the data to the piston control thread. The piston\n # control will only read and use the last value, since only the most recent information\n # matters\n self.prs_lifo_q = LifoQueue()\n self.prs_tare = 0\n \n self.flw_data = np.zeros([3, self.data_points])\n self.flw_data[0, :] = start_time\n self.flw_q = Queue()\n self.flw_lifo_q = LifoQueue() # Read comment on the lifoqueue above\n self.flw_tare = 0\n\n self.vol_lifo_q = LifoQueue() # Read comment on the lifoqueue above\n self.vol_data = np.zeros([2, self.data_points])\n self.vol_data[0, :] = start_time","def test_createData():\n\n sys = LVsystem.Ecosystem()\n\n sys.addSpecies('rabbit')\n sys.setInteraction('rabbit', 'hen', 0)\n sys.setInteraction('rabbit', 'fox', -1)\n sys.setInitialCond('rabbit', 30)\n sys.setGrowthRate('rabbit', 0.09)\n sys.setCarrCap('rabbit', 10000)\n sys.setChangeRate('rabbit', 400)\n\n sys.addSpecies('hen')\n sys.setInteraction('hen', 'rabbit', 0)\n sys.setInteraction('hen', 'fox', -1)\n sys.setInitialCond('hen', 10)\n sys.setGrowthRate('hen', 0.07)\n sys.setCarrCap('hen', 10000)\n sys.setChangeRate('hen', 500)\n\n sys.addSpecies('fox')\n sys.setInteraction('fox', 'rabbit', 1)\n sys.setInteraction('fox', 'hen', 1)\n sys.setInitialCond('fox', 20)\n sys.setGrowthRate('fox', -0.06)\n sys.setCarrCap('fox', 1)\n sys.setChangeRate('fox', 250)\n\n \n data = sys.create_data()\n \n assert data[0] == 3\n assert data[1] == ['rabbit', 'hen', 'fox']\n assert data[2] == [30,10,20]\n assert data[3] == [0.09,0.07,-0.06] \n assert data[4] == [10000,10000,1]\n assert data[5] == [400,500,250]\n assert data[6][1][2] == -data[6][2][1]\n assert data[6][2][2] == 0\n \n sys.removeSpecies('rabbit')\n sys.removeSpecies('fox')\n sys.removeSpecies('hen')","def initialize_data(self , station = '', datasets = {} ): \n self.datasets = datasets\n self.datasets_keys = datasets.keys()\n self.station = station\n self.out_name = self.out_dir + '/' + self.station + '_CEUAS_premerged_v0.nc'\n\n self.observations_table_vars = ['date_time', 'z_coordinate' , 'z_coordinate_type', 'observed_variable' , 'observation_value' , 'report_id' , 'observation_id' , 'latitude' , 'longitude', 'units', 'source_id']\n\n \"\"\" Loading the econding of the tables created from the harvester script and to be applied again \"\"\"\n self.encodings = np.load('groups_encodings.npy' , allow_pickle = True ).item()\n self.encodings['era5fb'] = np.load('era5fb_encodings_all.npy' , allow_pickle = True ).item() \n self.dic_type_attributes = np.load('dic_type_attributes.npy',allow_pickle= True).item()\n \n self.era5fb_columns = self.dic_type_attributes['era5fb'].keys()\n\n self.obstab_nans_filled = False \n\n data['cdm_tables'] = {} \n \n \"\"\" Loop over all the datasets \n k: name of the dataset \n v: list of file paths, eg 'era5_1':[filepath_1, filepath_2 ] \"\"\" \n for k,v in self.datasets.items() :\n data[k] = {}\n for F in v:\n \n logging.info(' Dataset ::: *** %s %s ' , k , F ) \n \n data[k][F] = {}\n\n h5py_file = h5py.File(F, 'r')\n data[k][F]['h5py_file'] = h5py_file \n \n a = h5py_file['recordtimestamp']\n \n data[k][F]['recordtimestamp'] = a\n data[k][F]['recordindex'] = h5py_file['recordindex']\n data[k][F]['dateindex'] = h5py_file['dateindex']\n a = h5py_file['recordtimestamp']\n data[k][F]['max_date'] = max(a)\n data[k][F]['min_date'] = min(a)\n \n data[k][F]['counter'] = 0\n\n #######\n # HEADER TABLE\n #######\n head_tab = h5py_file['header_table']\n logging.info('*** header_table')\n data[k][F]['header_table'] = {}\n for var in head_tab.keys():\n if ('string' in var or 'hdrlen' in var): continue\n try: \n data[k][F]['header_table'][var] = (np.array(head_tab[var][:])).astype(self.dic_type_attributes['header_table'][var]['type'] )\n except:\n print('failed convertion type header' , k , ' ' , F , ' ' , var )\n \n ####### \n # STATION CONFIGURATION\n ####### \n d = xr.open_dataset(F , engine = 'h5netcdf' , group = 'station_configuration' , decode_times = False )\n data[k][F]['station_configuration'] = d.to_dataframe()\n logging.debug('Done with %s station_configuration' , str(k) )\n d.close()\n\n ####### \n # SOURCE CONFIGURATION \n ####### \n d = xr.open_dataset(F , engine = 'h5netcdf' , group = 'source_configuration' , decode_times = False )\n data[k][F]['source_configuration'] = d\n logging.debug('Done with %s source_configuration' , str(k) )\n d.close()\n\n\n data['cdm_tables'] = {}\n \"\"\" Reading the CDM tables that do not depend on specific stations or observations (fixed values), for the first file only \"\"\"\n for t in self.standard_cdm: # [ 'crs' , 'observed_variable', 'units' , 'z_coordinate_type' , 'station_type', 'station_configuration_codes'] \n if t not in data['cdm_tables'].keys():\n #data['cdm_tables'][t] = ''\n cdm = xr.open_dataset(F , engine = 'h5netcdf' , group = t )\n data['cdm_tables'][t] = cdm \n\n print(blue + 'Memory used after reading data: ', process.memory_info().rss/1000000000 , cend)\n\n self.data = data\n\n \"\"\" Making all date_times \"\"\"\n self.make_all_datetime()","def gen_compute_data(self):\n\n print \"\\t* Generating combined nova and neutron data\"\n self.init_compute_clients()\n self.compute_data[\"heat_template_version\"] = \"2013-05-23\"\n self.compute_data[\"description\"] = \"Generated Template %s on Project %s\" % \\\n (str(datetime.datetime.now().strftime(\"%A, %d. %B %Y %I:%M%p\")), str(self.tenant_name))\n self.compute_data[\"parameters\"] = {}\n self.compute_data[\"resources\"] = {}\n self.gen_parameters()\n self.gen_resources()\n self.compute_template = self.compute_data","def set_up_file(ds, total_sites, footprint_nbins,\n dimy, dimx, wrf_out, time_unit, site_names):\n if site_names.dtype.str[1] not in \"SU\":\n site_names = site_names.astype(\"S\")\n if site_names.dtype.str[2:] != \"1\":\n site_names = netCDF4.stringtochar(site_names)\n name_length = site_names.shape[-1]\n name_str_dim = \"string{len:d}\".format(len=name_length)\n\n ds.createDimension(\"observation_time\", 0)\n ds.createDimension(\"site\", total_sites)\n ds.createDimension(\"time_before_observation\", footprint_nbins)\n ds.createDimension(\"dim_y\", dimy)\n ds.createDimension(\"dim_x\", dimx)\n ds.createDimension(\"bnds2\", 2)\n ds.createDimension(name_str_dim, name_length)\n\n obs_time_var = ds.createVariable(\"observation_time\", \"f4\",\n (\"observation_time\",))\n obs_time_bounds_var = ds.createVariable(\"observation_time_bnds\", \"f4\",\n (\"observation_time\", \"bnds2\"))\n time_back_var = ds.createVariable(\"time_before_observation\", \"i2\",\n (\"time_before_observation\",))\n time_back_bounds_var = ds.createVariable(\n \"time_before_observation_bnds\", \"i2\",\n (\"time_before_observation\", \"bnds2\"))\n ds.createVariable(\"dim_y\", \"f4\", (\"dim_y\",))\n ds.createVariable(\"dim_y_bnds\", \"f4\", (\"dim_y\", \"bnds2\"))\n ds.createVariable(\"dim_x\", \"f4\", (\"dim_x\",))\n ds.createVariable(\"dim_x_bnds\", \"f4\", (\"dim_x\", \"bnds2\"))\n\n grid_mapping = create_grid_mapping(ds, wrf_out)\n\n site_name_var = ds.createVariable(\"site_names\", \"S1\",\n (\"site\", name_str_dim))\n # these are roughly 1MB for a three-week lag\n flux_time_var = ds.createVariable(\n \"flux_time\", \"f4\", (\"observation_time\", \"time_before_observation\"),\n fill_value=-255,\n zlib=True)\n flux_time_bounds_var = ds.createVariable(\n \"flux_time_bnds\", \"f4\",\n (\"observation_time\", \"time_before_observation\", \"bnds2\"),\n fill_value=-255,\n zlib=True)\n\n height_var = ds.createVariable(\"height\", \"f4\", ())\n height_bounds_var = ds.createVariable(\"height_bnds\", \"f4\", (\"bnds2\",))\n\n infl_fun_var = ds.createVariable(\n # Empirically, the most particles seen in a grid cell is\n # around 5e3. 35*180 particles/obs_time, 9 files/flux_time on 81km grid\n # We have a factor of six wiggle room with i2\n # u2 may be necessary for 3 hourly 243 km fluxes\n # or more particles/obs_time0\n \"H\", \"i2\",\n (\"observation_time\", \"site\", \"time_before_observation\",\n \"dim_y\", \"dim_x\"),\n zlib=True,\n # This will be written and read by flux time, usually,\n # so that chunksize should be 1\n # not sure if chunk should be total_sites or 1 for site dimension\n # total_size gives a chunk as around 5.3 MiB\n # setting this to 1 may help with file size\n # if some towers were not run all the time\n # NUG has default chunk size of 4 MiB\n # (roughly a disk read on a high-end system)\n chunksizes=(1, total_sites, 1, dimy, dimx),\n # This requires that every cell be written to.\n # This is my intent, and this (as opposed to fill_value=0)\n # will not have troubles with masking most of the domain.\n # Make sure this isn't what's inflating the size\n fill_value=-1,\n )\n\n lpdm_opts = ds.createVariable(\"lpdm_configuration\", \"i1\", ())\n lpdm_opts.setncatts({key: netcdf_compatible_array(config[key]).copy()\n for key in config.dtype.fields.keys()\n if key.islower()})\n\n wrf_opts = ds.createVariable(\"wrf_configuration\", \"i1\", ())\n with contextlib.closing(netCDF4.Dataset(\n config[\"wrf_file\"][0].decode(\"ascii\"))) as wrf_ds:\n wrf_opts.setncatts({att: wrf_ds.getncattr(att)\n for att in wrf_ds.ncattrs()})\n\n ########################################################\n\n obs_time_var.setncatts(dict(long_name=\"observation_time\",\n # not entirely sure this applies...\n standard_name=\"forecast_reference_time\",\n bounds=\"observation_time_bnds\",\n units=time_unit,\n calendar=CALENDAR,\n coverage_content_type=\"coordinate\",\n # might be a misapplication of CF 9.5\n cf_role=\"timeseries_id\"))\n obs_time_bounds_var.setncatts(dict(long_name=\"observation_time_bounds\",\n units=time_unit,\n calendar=CALENDAR))\n\n time_back_var.setncatts(dict(long_name=\"time_before_observation\",\n standard_name=\"forecast_period\",\n units=\"hours\",\n bounds=\"time_before_observation_bnds\",\n coverage_content_type=\"coordinate\",\n ))\n time_back_bounds_var.setncatts(dict(\n description=\"bounds of time_before_observation\",\n units=\"hours\"))\n\n flux_time_var.setncatts(dict(\n long_name=\"flux_time\",\n standard_name=\"time\",\n bounds=\"flux_time_bnds\",\n units=time_unit,\n calendar=CALENDAR,\n coverage_content_type=\"coordinate\",\n ))\n flux_time_bounds_var.setncatts(dict(\n long_name=\"flux_time\",\n units=time_unit,\n calendar=CALENDAR,\n ))\n\n infl_fun_var.setncatts(dict(\n long_name=\"influence_function\",\n description=(\"linearisation of the observation operator \"\n \"for carbon dioxide mixing ratios at the \"\n \"towers in terms of carbon dioxide mass fluxes\"),\n units=\"ppmv/(mol.m^-2.s^-1)\",\n long_units=\"ppmv/(mol_CO2.m^-2.s^-1)\",\n coordinates=(\"flux_time height latitude longitude \"\n \"site_names site_heights site_lats site_lons\"),\n # I don't think we can justify more than six or so digits\n # of precision. The transport is too uncertain.\n # The underlying int type doesn't support more than five.\n # The increased locality should also speed up use.\n scale_factor=np.array(CONVERSION_FACTOR, dtype=np.float32),\n grid_mapping=grid_mapping,\n valid_min=np.array(0, dtype=infl_fun_var.dtype),\n # description of coordinate relationships\n cell_methods=(\n # not entirely sure if space and obs time should be in\n # same sum. The two times are another possible\n # combination.\n \"height: dim_y: dim_x: sum \"\n \"observation_time: sum \"\n \"(interval: {lpdm_timestep:f} seconds) \"\n \"site: point \"\n # this sum is done later than the others\n \"flux_time: sum \"\n \"(interval: {minutes_per_file:d} minutes)\"\n \"\").format(minutes_per_file=(MINUTES_PER_HOUR //\n int(config[\"num_file_per_h\"])),\n lpdm_timestep=float(config[\"lpdm_timestep\"])),\n # What type of thing this is:\n coverage_content_type=\"modelResult\",\n ))\n # I want to store the counts directly\n infl_fun_var.set_auto_maskandscale(False)\n\n site_lats_var = ds.createVariable(\"site_lats\", \"f4\", (\"site\",))\n site_lons_var = ds.createVariable(\"site_lons\", \"f4\", (\"site\",))\n site_heights_var = ds.createVariable(\"site_heights\", \"f4\", (\"site\",))\n site_lats_var.setncatts(dict(\n units=\"degrees_north\", standard_name=\"latitude\",\n long_name=\"site_latitude\",\n coverage_content_type=\"coordinate\",\n description=\"latitude of the observation tower site\",\n origin=\"Set in LPD run script\"))\n site_lons_var.setncatts(dict(\n units=\"degrees_east\", standard_name=\"longitude\",\n long_name=\"site_longitude\",\n coverage_content_type=\"coordinate\",\n description=\"longitude of the observation tower site\",\n origin=\"Set in LPD run script\"))\n site_name_var.setncatts(dict(\n long_name=\"name_of_observation_site\",\n # most likely an abuse of CF section 9.5\n # cf_role=\"trajectory_id\"\n coverage_content_type=\"referenceInformation\",\n ))\n site_heights_var.setncatts(dict(\n standard_name=\"height\",\n long_name=\"site_heights\",\n description=\"height of the observation tower intake\",\n origin=\"Set in LPD run script\",\n coverage_content_type=\"coordinate\",\n positive=\"up\",\n units=\"m\"))\n\n height_var.setncatts(dict(\n standard_name=\"height\",\n long_name=\"flux_influence_height\",\n description=(\"How low the particles have to be \"\n \"to be \\\"influenced\\\" by the ground\"),\n origin=\"Constant CLOSE_TO_GROUND in carsurf_loop.py\",\n coverage_content_type=\"referenceInformation\",\n positive=\"up\",\n units=\"km\", bounds=\"height_bnds\"))\n height_bounds_var.setncatts(dict(\n long_name=\"height_bounds\",\n units=\"km\"))\n\n # pretty sure this fails somewhat badly at encapsulization\n set_coord_values(ds, wrf_out, footprint_nbins)\n site_name_var[:] = site_names\n\n return infl_fun_var","def _init_system(*args):\n __set_time_elements(args[0], args[1])\n __set_control_elements(args[0], args[2], args[3])\n __set_sensor_elements(args[0], args[4], args[5], args[6], args[7])","def generate_timeseries(data_list, setname=\"MagneticFields\"):\n full_data = TimeSeriesList()\n for seg in sorted(data_list):\n hfile = h5py.File(data_list[seg], \"r\")\n full_data.append(retrieve_data_timeseries(hfile, \"MagneticFields\"))\n hfile.close()\n return full_data","def CollectDatasets(redirector_str):\n \n \n # uploadDir = 'srv/' for lpcjobqueue shell or TTbarAllHadUproot/ for coffea casa and WinterFell\n \n if 'cmsxrootd' in redirector_str:\n uploadDir = 'srv'\n else:\n uploadDir = 'TTbarAllHadUproot'\n \n uploadDir = ''\n \n filedir = 'nanoAODv9Files/'\n Years = ['UL16', 'UL17', 'UL18']\n VFP = ['preVFP', 'postVFP'] # preVFP unavailable in Winterfell for the moment\n # VFP = ['postVFP'] # Only for simple test in WinterFell\n filesets = {} # To be filled and returned by this function\n \n # ---- Before concatenation with +=, lists should be declard ---- # \n \n for y in Years:\n if '16' in y:\n for v in VFP:\n filesets[y+v+'_QCD'] = []\n filesets[y+v+'_TTbar_700_1000'] = []\n filesets[y+v+'_TTbar_1000_Inf'] = []\n # ---- JetHT and SingleMu ---- #\n for l in ['', 'B', 'C', 'D', 'E', 'F']:\n filesets[y+'preVFP_JetHT'+l+'_Data'] = []\n filesets[y+'preVFP_SingleMu'+l+'_Data'] = []\n for l in ['', 'F', 'G', 'H']:\n filesets[y+'postVFP_JetHT'+l+'_Data'] = []\n filesets[y+'postVFP_SingleMu'+l+'_Data'] = []\n \n \n elif '17' in y:\n filesets[y+'postVFP_QCD'] = []\n filesets[y+'postVFP_TTbar'] = []\n for l in ['', 'B', 'C', 'D', 'E', 'F']:\n filesets[y+'postVFP_JetHT'+l+'_Data'] = []\n filesets[y+'postVFP_SingleMu'+l+'_Data'] = []\n \n else:\n filesets[y+'postVFP_QCD'] = []\n filesets[y+'postVFP_TTbar'] = []\n for l in ['', 'A', 'B', 'C', 'D']:\n filesets[y+'postVFP_JetHT'+l+'_Data'] = []\n filesets[y+'postVFP_SingleMu'+l+'_Data'] = []\n \n # ---- Loop through years and VFP status, filling the filesets dictionary with the MC file locations from corresponding txt files ---- #\n \n for y in Years:\n if '16' in y:\n for v in VFP:\n # ---- QCD ---- #\n ulqcdfilename = filedir + 'QCD/QCD_NanoAODv9_' + y + '_' + v + '.txt'\n with open(ulqcdfilename) as f:\n ulqcdfiles = [redirector_str + s.strip() for s in f.readlines() if not s.startswith('#')]\n filesets[y+v+'_QCD'] += ulqcdfiles\n \n # ---- TTbar ---- #\n ulttbar700to1000filename = filedir + 'TT/TT_Mtt-700to1000_NanoAODv9_' + y + '_' + v + '.txt'\n with open(ulttbar700to1000filename) as f:\n ulttbar700to1000files = [redirector_str + s.strip() for s in f.readlines() if not s.startswith('#')]\n ulttbar1000toInffilename = filedir + 'TT/TT_Mtt-1000toInf_NanoAODv9_' + y + '_' + v + '.txt'\n with open(ulttbar1000toInffilename) as f:\n ulttbar1000toInffiles = [redirector_str + s.strip() for s in f.readlines() if not s.startswith('#')]\n filesets[y+v+'_TTbar_700_1000'] += ulttbar700to1000files\n filesets[y+v+'_TTbar_1000_Inf'] += ulttbar1000toInffiles\n \n # ---- JetHT ---- #\n datafilelist = os.listdir(filedir + 'JetHT/')\n for filename in datafilelist:\n if 'pre' in v:\n if 'Run2016' in filename: #preVFP\n with open(filedir + 'JetHT/' + filename) as f:\n jetdatafiles2016 = [redirector_str + s.strip() for s in f.readlines() if ('HIPM' in s and not s.startswith('#'))] \n filesets[y+v+'_JetHT_Data'] += jetdatafiles2016 \n elif 'post' in v:\n if 'Run2016' in filename: #postVFP\n with open(filedir + 'JetHT/' + filename) as f:\n jetdatafiles2016 = [redirector_str + s.strip() for s in f.readlines() if ('HIPM' not in s and not s.startswith('#'))] \n filesets[y+v+'_JetHT_Data'] += jetdatafiles2016\n \n # ---- Z' Dark Matter Mediator ---- #\n ulZprimeDMfilename = filedir + 'ZprimeDMToTTbar/ZprimeDMToTTbar_NanoAODv9_' + y + '_' + v + '.txt'\n ulDMfiles=[]\n k=0\n for i in range(1000, 5500, 500):\n with open(ulZprimeDMfilename) as f:\n ulDMfiles.append([redirector_str + s.strip() for s in f.readlines() if (\"ResoIncl_MZp\"+str(i) in s and not s.startswith('#'))])\n filesets[y+v+'_DM'+str(i)] = ulDMfiles[k]\n k += 1\n \n# # ---- RS KK Gluon ---- #\n# ulRSGluonfilename = filedir + 'RSGluonToTT/RSGluonToTT_NanoAODv9_' + y + '_' + v + '.txt'\n# ulRSGluonfiles=[]\n# l=0\n# for i in range(1000, 5500, 500):\n# with open(ulRSGluonfilename) as f:\n# ulRSGluonfiles.append([redirector_str + s.strip() for s in f.readlines() if (\"RSGluonToTT_M-\"+str(i) in s and not s.startswith('#'))])\n# filesets[y+v+'_RSGluon'+str(i)] += ulRSGluonfiles[l]\n# l += 1\n \n else: # UL17 and UL18\n v = VFP[1] # No preVFP after 2016 Run vertex problem was fixed\n \n # ---- QCD ---- #\n ulqcdfilename = filedir + 'QCD/QCD_NanoAODv9_' + y + '_' + v + '.txt'\n with open(ulqcdfilename) as f:\n ulqcdfiles = [redirector_str + s.strip() for s in f.readlines() if not s.startswith('#')]\n filesets[y+v+'_QCD'] += ulqcdfiles\n\n# # ---- TTbar ---- #\n# ulttbar700to1000filename = filedir + 'TT/TT_Mtt-700to1000_NanoAODv9_' + y + '_' + v + '.txt'\n# with open(ulttbar700to1000filename) as f:\n# ulttbar700to1000files = [redirector_str + s.strip() for s in f.readlines() if not s.startswith('#')]\n# ulttbar1000toInffilename = filedir + 'TT/TT_Mtt-1000toInf_NanoAODv9_' + y + '_' + v + '.txt'\n# with open(ulttbar1000toInffilename) as f:\n# ulttbar1000toInffiles = [redirector_str + s.strip() for s in f.readlines() if not s.startswith('#')]\n# filesets[y+v+'_TTbar_700_1000'] += ulttbar700to1000files\n# filesets[y+v+'_TTbar_1000_Inf'] += ulttbar1000toInffiles\n \n # ---- JetHT ---- #\n datafilelist = os.listdir(filedir + 'JetHT/')\n for filename in datafilelist: \n if 'Run2017' in filename: #postVFP\n with open(filedir + 'JetHT/' + filename) as f:\n jetdatafiles2017 = [redirector_str + s.strip() for s in f.readlines() if (not s.startswith('#'))] \n filesets[y+v+'_JetHT_Data'] += jetdatafiles2017\n elif 'Run2018' in filename: #postVFP\n with open(filedir + 'JetHT/' + filename) as f:\n jetdatafiles2018 = [redirector_str + s.strip() for s in f.readlines() if (not s.startswith('#'))] \n filesets[y+v+'_JetHT_Data'] += jetdatafiles2018\n\n # ---- Z' Dark Matter Mediator ---- #\n ulZprimeDMfilename = filedir + 'ZprimeDMToTTbar/ZprimeDMToTTbar_NanoAODv9_' + y + '_' + v + '.txt'\n ulDMfiles=[]\n k=0\n for i in range(1000, 5500, 500):\n with open(ulZprimeDMfilename) as f:\n ulDMfiles.append([redirector_str + s.strip() for s in f.readlines() if (\"ResoIncl_MZp\"+str(i) in s and not s.startswith('#'))])\n filesets[y+v+'_DM'+str(i)] = ulDMfiles[k]\n k += 1\n \n # ---- RS KK Gluon ---- #\n ulRSGluonfilename = filedir + 'RSGluonToTT/RSGluonToTT_NanoAODv9_' + y + '_' + v + '.txt'\n ulRSGluonfiles=[]\n l=0\n for i in range(1000, 5500, 500):\n with open(ulRSGluonfilename) as f:\n ulRSGluonfiles.append([redirector_str + s.strip() for s in f.readlines() if (\"RSGluonToTT_M-\"+str(i) in s and not s.startswith('#'))])\n filesets[y+v+'_RSGluon'+str(i)] = ulRSGluonfiles[l]\n l += 1\n \n \n # ---- JetHT Eras---- #\n \n datafilelist = os.listdir(filedir + 'JetHT/')\n for filename in datafilelist:\n \n if 'Run2016B' in filename:\n with open(filedir + 'JetHT/' + filename) as b:\n jetdatafiles2016b = [redirector_str + s.strip() for s in b.readlines() if not s.startswith('#')] \n filesets['UL16preVFP_JetHTB_Data'] += jetdatafiles2016b\n elif 'Run2016C' in filename:\n with open(filedir + 'JetHT/' + filename) as c:\n jetdatafiles2016c = [redirector_str + s.strip() for s in c.readlines() if not s.startswith('#')] \n filesets['UL16preVFP_JetHTC_Data'] += jetdatafiles2016c\n elif 'Run2016D' in filename:\n with open(filedir + 'JetHT/' + filename) as d:\n jetdatafiles2016d = [redirector_str + s.strip() for s in d.readlines() if not s.startswith('#')] \n filesets['UL16preVFP_JetHTD_Data'] += jetdatafiles2016d\n elif 'Run2016E' in filename:\n with open(filedir + 'JetHT/' + filename) as e:\n jetdatafiles2016e = [redirector_str + s.strip() for s in e.readlines() if not s.startswith('#')] \n filesets['UL16preVFP_JetHTE_Data'] += jetdatafiles2016e\n elif 'Run2016F' in filename:\n with open(filedir + 'JetHT/' + filename) as fold:\n jetdatafiles2016fold = [redirector_str + s.strip() for s in fold.readlines() if ('HIPM' in s and not s.startswith('#'))]\n with open(filedir + 'JetHT/' + filename) as fnew:\n jetdatafiles2016fnew = [redirector_str + s.strip() for s in fnew.readlines() if ('HIPM' not in s and not s.startswith('#'))]\n filesets['UL16preVFP_JetHTF_Data'] += jetdatafiles2016fold\n filesets['UL16postVFP_JetHTF_Data'] += jetdatafiles2016fnew\n elif 'Run2016G' in filename:\n with open(filedir + 'JetHT/' + filename) as g:\n jetdatafiles2016g = [redirector_str + s.strip() for s in g.readlines() if not s.startswith('#')] \n filesets['UL16postVFP_JetHTG_Data'] += jetdatafiles2016g\n elif 'Run2016H' in filename:\n with open(filedir + 'JetHT/' + filename) as h:\n jetdatafiles2016h = [redirector_str + s.strip() for s in h.readlines() if not s.startswith('#')] \n filesets['UL16postVFP_JetHTH_Data'] += jetdatafiles2016h\n \n if 'Run2017B' in filename:\n with open(filedir + 'JetHT/' + filename) as b:\n jetdatafiles2017b = [redirector_str + s.strip() for s in b.readlines()[::3] if not s.startswith('#')] \n filesets['UL17postVFP_JetHTB_Data'] += jetdatafiles2017b\n elif 'Run2017C' in filename:\n with open(filedir + 'JetHT/' + filename) as c:\n jetdatafiles2017c = [redirector_str + s.strip() for s in c.readlines()[::3] if not s.startswith('#')] \n filesets['UL17postVFP_JetHTC_Data'] += jetdatafiles2017c\n elif 'Run2017D' in filename:\n with open(filedir + 'JetHT/' + filename) as d:\n jetdatafiles2017d = [redirector_str + s.strip() for s in d.readlines()[::3] if not s.startswith('#')] \n filesets['UL17postVFP_JetHTD_Data'] += jetdatafiles2017d\n elif 'Run2017E' in filename:\n with open(filedir + 'JetHT/' + filename) as e:\n jetdatafiles2017e = [redirector_str + s.strip() for s in e.readlines()[::3] if not s.startswith('#')] \n filesets['UL17postVFP_JetHTE_Data'] += jetdatafiles2017e\n elif 'Run2017F' in filename:\n with open(filedir + 'JetHT/' + filename) as f:\n jetdatafiles2017f = [redirector_str + s.strip() for s in f.readlines()[::3] if not s.startswith('#')] \n filesets['UL17postVFP_JetHTF_Data'] += jetdatafiles2017f\n \n if 'Run2018A' in filename:\n with open(filedir + 'JetHT/' + filename) as a:\n jetdatafiles2018a = [redirector_str + s.strip() for s in a.readlines()[::3] if not s.startswith('#')] \n filesets['UL18postVFP_JetHTA_Data'] += jetdatafiles2018a\n elif 'Run2018B' in filename:\n with open(filedir + 'JetHT/' + filename) as b:\n jetdatafiles2018b = [redirector_str + s.strip() for s in b.readlines()[::3] if not s.startswith('#')] \n filesets['UL18postVFP_JetHTB_Data'] += jetdatafiles2018b\n elif 'Run2018C' in filename:\n with open(filedir + 'JetHT/' + filename) as c:\n jetdatafiles2018c = [redirector_str + s.strip() for s in c.readlines()[::3] if not s.startswith('#')] \n filesets['UL18postVFP_JetHTC_Data'] += jetdatafiles2018c\n elif 'Run2018D' in filename:\n with open(filedir + 'JetHT/' + filename) as d:\n jetdatafiles2018d = [redirector_str + s.strip() for s in d.readlines()[::3] if not s.startswith('#')] \n filesets['UL18postVFP_JetHTD_Data'] += jetdatafiles2018d\n \n\n \n # ---- Single Muon ---- #\n datafilelist = os.listdir(filedir + 'SingleMu/')\n for filename in datafilelist:\n \n if 'Run2016B' in filename:\n with open(filedir + 'SingleMu/' + filename) as b:\n jetdatafiles2016b = [redirector_str + s.strip() for s in b.readlines() if not s.startswith('#')] \n filesets['UL16preVFP_SingleMuB_Data'] += jetdatafiles2016b\n elif 'Run2016C' in filename:\n with open(filedir + 'SingleMu/' + filename) as c:\n jetdatafiles2016c = [redirector_str + s.strip() for s in c.readlines() if not s.startswith('#')] \n filesets['UL16preVFP_SingleMuC_Data'] += jetdatafiles2016c\n elif 'Run2016D' in filename:\n with open(filedir + 'SingleMu/' + filename) as d:\n jetdatafiles2016d = [redirector_str + s.strip() for s in d.readlines() if not s.startswith('#')] \n filesets['UL16preVFP_SingleMuD_Data'] += jetdatafiles2016d\n elif 'Run2016E' in filename:\n with open(filedir + 'SingleMu/' + filename) as e:\n jetdatafiles2016e = [redirector_str + s.strip() for s in e.readlines() if not s.startswith('#')] \n filesets['UL16preVFP_SingleMuE_Data'] += jetdatafiles2016e\n elif 'Run2016F' in filename:\n with open(filedir + 'SingleMu/' + filename) as fold:\n jetdatafiles2016fold = [redirector_str + s.strip() for s in fold.readlines() if ('HIPM' in s and not s.startswith('#'))]\n with open(filedir + 'SingleMu/' + filename) as fnew:\n jetdatafiles2016fnew = [redirector_str + s.strip() for s in fnew.readlines() if ('HIPM' not in s and not s.startswith('#'))]\n filesets['UL16preVFP_SingleMuF_Data'] += jetdatafiles2016fold\n filesets['UL16postVFP_SingleMuF_Data'] += jetdatafiles2016fnew\n elif 'Run2016G' in filename:\n with open(filedir + 'SingleMu/' + filename) as g:\n jetdatafiles2016g = [redirector_str + s.strip() for s in g.readlines() if not s.startswith('#')] \n filesets['UL16postVFP_SingleMuG_Data'] += jetdatafiles2016g\n elif 'Run2016H' in filename:\n with open(filedir + 'SingleMu/' + filename) as h:\n jetdatafiles2016h = [redirector_str + s.strip() for s in h.readlines() if not s.startswith('#')] \n filesets['UL16postVFP_SingleMuH_Data'] += jetdatafiles2016h\n \n if 'Run2017B' in filename:\n with open(filedir + 'SingleMu/' + filename) as b:\n jetdatafiles2017b = [redirector_str + s.strip() for s in b.readlines()[::3] if not s.startswith('#')] \n filesets['UL17postVFP_SingleMuB_Data'] += jetdatafiles2017b\n elif 'Run2017C' in filename:\n with open(filedir + 'SingleMu/' + filename) as c:\n jetdatafiles2017c = [redirector_str + s.strip() for s in c.readlines()[::3] if not s.startswith('#')] \n filesets['UL17postVFP_SingleMuC_Data'] += jetdatafiles2017c\n elif 'Run2017D' in filename:\n with open(filedir + 'SingleMu/' + filename) as d:\n jetdatafiles2017d = [redirector_str + s.strip() for s in d.readlines()[::3] if not s.startswith('#')] \n filesets['UL17postVFP_SingleMuD_Data'] += jetdatafiles2017d\n elif 'Run2017E' in filename:\n with open(filedir + 'SingleMu/' + filename) as e:\n jetdatafiles2017e = [redirector_str + s.strip() for s in e.readlines()[::3] if not s.startswith('#')] \n filesets['UL17postVFP_SingleMuE_Data'] += jetdatafiles2017e\n elif 'Run2017F' in filename:\n with open(filedir + 'SingleMu/' + filename) as f:\n jetdatafiles2017f = [redirector_str + s.strip() for s in f.readlines()[::3] if not s.startswith('#')] \n filesets['UL17postVFP_SingleMuF_Data'] += jetdatafiles2017f\n \n if 'Run2018A' in filename:\n with open(filedir + 'SingleMu/' + filename) as a:\n jetdatafiles2018a = [redirector_str + s.strip() for s in a.readlines()[::3] if not s.startswith('#')] \n filesets['UL18postVFP_SingleMuA_Data'] += jetdatafiles2018a\n elif 'Run2018B' in filename:\n with open(filedir + 'SingleMu/' + filename) as b:\n jetdatafiles2018b = [redirector_str + s.strip() for s in b.readlines()[::3] if not s.startswith('#')] \n filesets['UL18postVFP_SingleMuB_Data'] += jetdatafiles2018b\n elif 'Run2018C' in filename:\n with open(filedir + 'SingleMu/' + filename) as c:\n jetdatafiles2018c = [redirector_str + s.strip() for s in c.readlines()[::3] if not s.startswith('#')] \n filesets['UL18postVFP_SingleMuC_Data'] += jetdatafiles2018c\n elif 'Run2018D' in filename:\n with open(filedir + 'SingleMu/' + filename) as d:\n jetdatafiles2018d = [redirector_str + s.strip() for s in d.readlines()[::3] if not s.startswith('#')] \n filesets['UL18postVFP_SingleMuD_Data'] += jetdatafiles2018d\n \n \n # print(filesets['UL16postVFP_JetHT_Data'])\n # print('==========================================================================================================')\n # print(filesets['UL16postVFP_TTbar'])\n \n return filesets","def build_subsets(self):\n self.all = nrn.SectionList()\n self.all.wholetree(sec=self.soma)","def __init__(self,fn_dts,fn_contigs,wnd_size):\n\n wnd = int(fn_dts.split(\"/\")[-1].split(\"_bp\")[0])\n assert int(wnd)==wnd_size\n self.wnd_size = wnd_size\n print fn_dts\n self.wnd_DTS = DenseTrackSet(fn_contigs,\n fn_dts,\n overwrite=False,\n openMode='r')\n \n self.contigs = self.wnd_DTS.mContigNameLen\n self.starts=self.wnd_DTS[\"starts\"]\n self.ends=self.wnd_DTS[\"ends\"]\n self.cps=self.wnd_DTS[\"copy\"]","def assign_subsystems(self):\n\n self.driver = MecDriver()\n\n systems = {}\n systems[\"ctrl\"] = self\n systems[\"driver\"] = self.driver\n\n self.logger.debug(\"Systems: {}\".format(systems))\n return systems","def create_perf_data(nodes):\n perf_blob = {\n 'framework': { 'name': 'awsy' },\n 'suites': []\n }\n\n for suite in PERF_SUITES:\n perf_blob['suites'].append(create_suite(suite['name'], suite['node'], nodes))\n\n return perf_blob","def create_minimal_scaleio_cluster(self, mdmPassword, liaPassword):\n \"\"\"\n self.read_cluster_config_from_disk(\"minimal-cluster.json\")\n #self._cluster_config_cached.setMdmPassword(setMdmPassword)\n #self._cluster_config_cached.setLiaPassword(setLiaPassword)\n self.push_cached_cluster_configuration(setMdmPassword, setLiaPassword)\n \"\"\"\n \n ###########################\n # Create a ScaleIO System #\n ###########################\n # Flow:\n # Create Nodes\n # Create basic info. mdmPass, liaPass and some others\n # Construct MDM and TB and basic info\n # Create list of SDS\n # Create list of SDC\n \n \n ###################\n # Construct nodes #\n ###################\n nodeUsername = 'root'\n nodePassword = 'password'\n #node1 = ScaleIO_Node_Object(None, None, ['192.168.102.11'], None, 'linux', nodePassword, nodeUsername)\n #node2 = ScaleIO_Node_Object(None, None, ['192.168.102.12'], None, 'linux', nodePassword, nodeUsername)\n #node3 = ScaleIO_Node_Object(None, None, ['192.168.102.13'], None, 'linux', nodePassword, nodeUsername)\n node1 = ScaleIO_Node_Object(None, None, ['192.168.100.101'], None, 'linux', nodePassword, nodeUsername)\n node2 = ScaleIO_Node_Object(None, None, ['192.168.100.102'], None, 'linux', nodePassword, nodeUsername)\n node3 = ScaleIO_Node_Object(None, None, ['192.168.100.103'], None, 'linux', nodePassword, nodeUsername)\n print \"Node Object:\"\n pprint (node1.to_JSON())\n pprint (node2.to_JSON())\n pprint (node2.to_JSON())\n print \"\"\n \n ##########################################\n # Construct basic info for System_Object #\n ##########################################\n mdmIPs = ['192.168.100.101','192.168.100.102']\n sdcList = []\n sdsList = []\n #mdmPassword = 'Scaleio123'\n #liaPassword = 'Scaleio123'\n licenseKey = None\n installationId = None\n \n ########################################\n # Create MDMs and TB for System_Object #\n ########################################\n primaryMdm = Mdm_Object(json.loads(node2.to_JSON()), None, None, node2.nodeIPs) # WHY ISNT ManagementIPs pupulated???? Its not in a working config either. mdmIPs need to be populated though\n secondaryMdm = Mdm_Object(json.loads(node3.to_JSON()), None, None, node3.nodeIPs)\n tb = Tb_Object(json.loads(node1.to_JSON()), None, node1.nodeIPs)\n callHomeConfiguration = None # {'callHomeConfiguration':'None'}\n remoteSyslogConfiguration = None # {'remoteSysogConfiguration':'None'}\n \n ################################################################\n #Create SDS objects - To be added to SDS list in System_Object #\n ################################################################\n sds1 = Sds_Object(json.loads(node1.to_JSON()), None, 'SDS_' + str(node1.nodeIPs[0]), 'default', None, node1.nodeIPs, None, None, None, False, '7072')\n sds1.addDevice(\"/dev/sdb\", None, None)\n sds2 = Sds_Object(json.loads(node2.to_JSON()), None, 'SDS_' + str(node2.nodeIPs[0]), 'default', None, node2.nodeIPs, None, None, None, False, '7072')\n sds2.addDevice(\"/dev/sdb\", None, None)\n sds3 = Sds_Object(json.loads(node3.to_JSON()), None, 'SDS_' + str(node3.nodeIPs[0]), 'default', None, node3.nodeIPs, None, None, None, False, '7072')\n sds3.addDevice(\"/dev/sdb\", None, None)\n sdsList.append(json.loads(sds1.to_JSON()))\n sdsList.append(json.loads(sds2.to_JSON()))\n sdsList.append(json.loads(sds3.to_JSON()))\n print \"sdsList:\"\n pprint (sdsList)\n \n #############################################################\n # Create SDC objects - To be added as list to System_Object #\n #############################################################\n \"\"\"\n node=None,\n nodeInfo=None,\n splitterRpaIp=None\n \"\"\"\n sdc1 = Sdc_Object(json.loads(node1.to_JSON()), None, None)\n sdc2 = Sdc_Object(json.loads(node2.to_JSON()), None, None)\n sdc3 = Sdc_Object(json.loads(node3.to_JSON()), None, None)\n \n sdcList.append(json.loads(sdc1.to_JSON()))\n sdcList.append(json.loads(sdc2.to_JSON()))\n sdcList.append(json.loads(sdc3.to_JSON()))\n \n ######################################################\n # Construct a complete ScaleIO cluster configuration #\n ######################################################\n sioobj = ScaleIO_System_Object(installationId,\n mdmIPs,\n mdmPassword,\n liaPassword,\n licenseKey,\n json.loads(primaryMdm.to_JSON()),\n json.loads(secondaryMdm.to_JSON()),\n json.loads(tb.to_JSON()),\n sdsList,\n sdcList,\n callHomeConfiguration,\n remoteSyslogConfiguration\n )\n \n # Export sioobj to JSON (should upload clean in IM)\n \n\n ###########################################################################\n # Push System_Object JSON - To be used by IM to install ScaleIO on nodes #\n ###########################################################################\n #pprint (sioobj.to_JSON())\n self._cluster_config_cached = sioobj.to_JSON() # PUSH CONFIGURATION INTO CONFIGURATION CACHE\n self._cache_contains_uncommitted= False # New config pushed into cache - Nothing oncommitted\n self.push_cluster_configuration(self._cluster_config_cached) # sioobj.to_JSON())","def buildSystem(self, shape ):\n\t\tfor s in self.scatters:\n\t\t\tfor i,n in enumerate( s._nodes ):\n\t\t\t\tsoftMod = sf.SoftModCluster( 'lip_' + '_%i'%i + '_SFM', shape )\n\t\t\t\tsoftMod.create( n.a.t.v[0] )","def make_dummy_dataset(PATTERN='T%task%/S%session%/sub%subject%_%acquisition%_%run%',\n DATASET = 'DUMMY',\n NSUBS = 2,\n NSESSIONS = 2,\n NTASKS = 2,\n NACQS = 2,\n NRUNS = 2,\n NCHANNELS = 2,\n SFREQ = 200,\n STOP = 10,\n NUMEVENTS = 10,\n PREFIXES = {'subject':'SU','session':'SE','task':'TA','acquisition':'AC','run':'RU'},\n ROOT=None):\n\n if ROOT is None:\n this_dir = os.path.dirname(__file__)\n data_dir = os.path.abspath(os.path.join(this_dir,'..','_data'))\n else:\n data_dir = ROOT\n os.makedirs(data_dir,exist_ok=True)\n\n\n\n sub_zeros = get_num_digits(NSUBS)\n subs = [ PREFIXES['subject']+ str(x).zfill(sub_zeros) for x in range(NSUBS)]\n\n task_zeros = get_num_digits(NTASKS)\n tasks = [ PREFIXES['task']+str(x).zfill(task_zeros) for x in range(NTASKS)]\n\n run_zeros = get_num_digits(NRUNS)\n runs = [str(x).zfill(run_zeros) for x in range(NRUNS)]\n\n ses_zeros = get_num_digits(NSESSIONS)\n sessions = [ PREFIXES['session']+str(x).zfill(ses_zeros) for x in range(NSESSIONS)]\n\n acq_zeros = get_num_digits(NACQS)\n acquisitions = [ PREFIXES['acquisition']+str(x).zfill(acq_zeros) for x in range(NACQS)]\n\n # Create some dummy metadata\n n_channels = NCHANNELS\n sampling_freq = SFREQ # in Hertz\n info = mne.create_info(n_channels, sfreq=sampling_freq)\n\n times = np.linspace(0, STOP, STOP*sampling_freq, endpoint=False)\n data = np.zeros((NCHANNELS,times.shape[0]))\n\n raw = mne.io.RawArray(data, info)\n raw.set_channel_types({x:'eeg' for x in raw.ch_names})\n new_events = mne.make_fixed_length_events(raw, duration=STOP//NUMEVENTS)\n\n for task in tasks:\n for session in sessions:\n for run in runs:\n for sub in subs:\n for acq in acquisitions:\n dummy = PATTERN.replace('%dataset%',DATASET)\n dummy = dummy.replace('%task%',task)\n dummy = dummy.replace('%session%',session)\n dummy = dummy.replace('%subject%',sub)\n dummy = dummy.replace('%run%',run)\n dummy = dummy.replace('%acquisition%',acq)\n path = [data_dir] +dummy.split('/')\n fpath = os.path.join(*path)\n _write_raw_brainvision(raw,fpath,new_events)","def create_dataset(n_power_steps, n_initial_conditions, n_time_steps, power_system):\r\n data_ops = input_data_initialised(n_ops=n_power_steps * n_initial_conditions,\r\n power_system=power_system)\r\n\r\n power_values = np.linspace(0.0, 0.2, n_power_steps)\r\n delta_initial = np.linspace(-np.pi / 2, np.pi / 2, n_initial_conditions)\r\n\r\n power_ops_grid, delta_ops_grid = np.meshgrid(power_values, delta_initial)\r\n\r\n power_ops = power_ops_grid.reshape((-1, 1))\r\n delta_ops = delta_ops_grid.reshape((-1, 1))\r\n\r\n data_ops.update(time=np.ones(power_ops.shape) * power_system['t_max'],\r\n power=power_ops,\r\n states_initial=np.concatenate([delta_ops, power_system['omega_0'] + np.ones(delta_ops.shape) *\r\n 0.1], axis=1))\r\n\r\n data_ops = evaluate_op_trajectory(data_ops, n_time_steps=n_time_steps, power_system=power_system)\r\n\r\n data_ops = calculate_data_ode_right_hand_side(data_ops, power_system)\r\n\r\n return data_ops","def make_result_table(self, for_time):\n time = [t.AsPython()\n for t in cmf.timerange(cmf.AsCMFtime(self.starttime),\n cmf.AsCMFtime(self.starttime + for_time),\n self.dt)]\n depth = self.depth\n layer_template = np.zeros((len(time), len(depth))) * np.NaN\n ds = xr.Dataset(\n {'N': (('time', 'depth'), layer_template.copy()),\n 'Corg': (('time', 'depth'), layer_template.copy()),\n 'DOC': (('time', 'depth'), layer_template.copy()),\n 'Temp': (('time', 'depth'), layer_template.copy()),\n 'wetness': (('time', 'depth'), layer_template.copy()),\n },\n {'time': time, 'depth': list(depth)}\n )\n return ds","def datasets(self):\n pass","def getSets():","def __init__(self, topology, dofs_per_codim_entity):\n self.topology = topology\n self.datasets = dict((eset, DataSet(eset, dofs_per_codim_entity.get(eset.codimension, 0)))\n for eset in topology.entity_variants())","def create(self):\n\n for key in self.dirs.keys():\n if type(self.dirs[key]) == dict:\n for dir_type in self.dirs[key].keys():\n create_if_not_exists(self.dirs[key][dir_type])\n else:\n create_if_not_exists(self.dirs[key])\n\n # read the file in, sample-by-sample\n # build the dictionary recursively\n # add rle file also to generated cfg files\n # print integrations per job as well!\n # consider more than 1 file per jobs -- the jobs are splitted by MEM integration anyways\n\n rle_filters = self.get_filter() if self.rle_filter_file else {}\n statistics = {}\n for sample_name, sample_info in self.samples.items():\n if not sample_info[\"use_it\"]:\n continue\n\n if not os.path.exists(sample_info['local_paths'][0]['path']):\n logging.warning(\"Skipping sample {sample_name}\".format(sample_name = sample_name))\n continue\n\n process_name = sample_info[\"process_name_specific\"]\n logging.info(\"Creating configuration files to run '%s' for sample %s\" % (self.executable_addMEM, process_name))\n is_mc = (sample_info[\"type\"] == \"mc\")\n if self.rle_filter_file:\n assert(process_name in rle_filters)\n\n inputFileList = generateInputFileList(sample_info, self.max_files_per_job)\n # typically, the analysis ends here and starts looping b/c the smallest unit of work processes\n # at least one file; we need, however, to split the file into event ranges in such a way that\n # each job performs mem_integrations_per_job MEM integrations\n\n # so what we are going to do is to open each set of files in inputFileList, read the variable\n # requestMEM_*l_*tau and try to gather the event ranges such that each event range\n # performs up to mem_integrations_per_job integrations per job\n memEvtRangeDict = self.memJobList(inputFileList, rle_filters[process_name] if self.rle_filter_file else [])\n\n for jobId in memEvtRangeDict.keys():\n\n key_dir = getKey(sample_name)\n key_file = getKey(sample_name, jobId)\n\n self.inputFiles[key_file] = memEvtRangeDict[jobId]['input_fileset']\n\n # there should always be a job\n assert(self.inputFiles[key_file] > 0), \"More than one input file: %s ?? !!\" % \\\n ', '.join(self.inputFiles[key_file])\n\n #assert(len(self.inputFiles[key_file]) == 1), \"There is more than one input file!\"\n self.cfgFiles_addMEM_modified[key_file] = os.path.join(\n self.dirs[key_dir][DKEY_CFGS], \"addMEM_%s_%s_%i_cfg.py\" % (self.channel, process_name, jobId)\n )\n self.shFiles_addMEM_modified[key_file] = os.path.join(\n self.dirs[key_dir][DKEY_CFGS], \"addMEM_%s_%s_%i.sh\" % (self.channel, process_name, jobId)\n )\n self.outputFiles[key_file] = os.path.join(\n self.dirs[key_dir][DKEY_NTUPLES], \"%s_%i.root\" % (process_name, jobId)\n )\n self.logFiles_addMEM[key_file] = os.path.join(\n self.dirs[key_dir][DKEY_LOGS], \"addMEM_%s_%s_%i.log\" % (self.channel, process_name, jobId)\n )\n self.logFiles_addMEM[key_file] = get_log_version((self.logFiles_addMEM[key_file],))[0]\n self.createCfg_addMEM(\n self.inputFiles[key_file],\n memEvtRangeDict[jobId]['event_range'][0],\n memEvtRangeDict[jobId]['event_range'][1],\n self.outputFiles[key_file],\n self.era,\n sample_info[\"sample_category\"],\n is_mc,\n self.cfgFiles_addMEM_modified[key_file],\n memEvtRangeDict[jobId]['whitelist'],\n )\n\n # associate the output file with the fileset_id\n #UDPATE: ONE OUTPUT FILE PER SAMPLE!\n fileset_id = memEvtRangeDict[jobId]['fileset_id']\n hadd_output_dir = os.path.join(\n self.dirs[key_dir][DKEY_FINAL_NTUPLES],\n '%04d' % (fileset_id // 1000)\n )\n if not os.path.exists(hadd_output_dir):\n os.makedirs(hadd_output_dir)\n hadd_output = os.path.join(\n hadd_output_dir, '%s_%i.root' % ('tree', fileset_id) # UDPATE: ADDED\n #hadd_output_dir, \"tree.root\" # UDPATE: REMOVED\n )\n if hadd_output not in self.hadd_records:\n self.hadd_records[hadd_output] = {}\n self.hadd_records[hadd_output]['output_files'] = []\n self.hadd_records[hadd_output]['fileset_id'] = fileset_id\n self.hadd_records[hadd_output]['output_files'].append(self.outputFiles[key_file])\n self.hadd_records[hadd_output]['process_name'] = process_name\n\n # let's sum the number of integration per sample\n nofEntriesMap = {}\n for v in memEvtRangeDict.values():\n if v['fileset_id'] not in nofEntriesMap:\n nofEntriesMap[v['fileset_id']] = {\n 'nof_entries' : v['nof_entries'],\n }\n statistics[process_name] = {\n 'nof_int' : sum([entry['nof_int'] for entry in memEvtRangeDict.values()]),\n 'nof_entries' : sum([entry['nof_entries'] for entry in nofEntriesMap.values()]),\n 'nof_events_pass' : sum([entry['nof_events_pass'] for entry in memEvtRangeDict.values()]),\n 'nof_int_pass' : sum([entry['nof_int_pass'] for entry in memEvtRangeDict.values()]),\n 'nof_zero' : sum([entry['nof_zero'] for entry in memEvtRangeDict.values()]),\n 'nof_jobs' : len(memEvtRangeDict),\n }\n\n if self.is_sbatch:\n logging.info(\"Creating script for submitting '%s' jobs to batch system\" % self.executable_addMEM)\n self.createScript_sbatch()\n\n logging.info(\"Creating Makefile\")\n lines_makefile = []\n self.addToMakefile_addMEM(lines_makefile)\n self.addToMakefile_hadd(lines_makefile)\n self.createMakefile(lines_makefile)\n\n ws_len = max([len(kk) + 1 for kk in statistics.keys()])\n total_nof_integrations_sum = sum(x['nof_int'] for x in statistics.values())\n total_nof_entires = sum(x['nof_entries'] for x in statistics.values())\n total_nof_zero_int = sum(x['nof_zero'] for x in statistics.values())\n total_nof_jobs = sum(x['nof_jobs'] for x in statistics.values())\n total_nof_pass = sum(x['nof_events_pass'] for x in statistics.values())\n total_nof_int_pass_avg = float(sum(x['nof_int_pass'] for x in statistics.values())) / total_nof_pass\n total_nof_integrations_avg = float(total_nof_integrations_sum) / total_nof_entires\n total_nof_int_per_job = float(total_nof_integrations_sum) / total_nof_jobs\n for k, v in statistics.iteritems():\n if v['nof_entries'] == 0:\n int_per_event = 0.\n evt_pass = 0.\n else:\n int_per_event = float(v['nof_int']) / v['nof_entries']\n evt_pass = (100 * float(v['nof_events_pass']) / v['nof_entries'])\n if v['nof_events_pass'] == 0:\n nof_int_pass = 0.\n else:\n nof_int_pass = float(v['nof_int_pass']) / v['nof_events_pass']\n print('%s%s: %d (%d entries; %d jobs; %.2f int/evt; %d (%.2f%%) evt pass; %.2f int/evt pass; %d evt 0int)' %\n (k,\n ' ' * (ws_len - len(k)),\n v['nof_int'],\n v['nof_entries'],\n v['nof_jobs'],\n int_per_event,\n v['nof_events_pass'],\n evt_pass,\n nof_int_pass,\n v['nof_zero'],\n )\n )\n print('%s%s: %d (%d entries; %d jobs; %.2f int/evt; %d evt pass; %.2f int/evt pass; '\n '%.2f int/job pass; %d evt 0int)' %\n ('total',\n ' ' * (ws_len - len('total')),\n total_nof_integrations_sum,\n total_nof_entires,\n total_nof_jobs,\n total_nof_integrations_avg,\n total_nof_pass,\n total_nof_int_pass_avg,\n total_nof_int_per_job,\n total_nof_zero_int,\n )\n )\n\n if self.max_mem_integrations > 0 and total_nof_integrations_sum > self.max_mem_integrations:\n logging.error(\"Will not start the jobs (max nof integrations exceeded)!\")\n return False\n else:\n logging.info(\"Done\")\n return True","def setup_class(self):\n args = {'pdb_path':'/sdf/home/a/apeck/tomoxtal/examples/input/193l.pdb', 'resolution':6.0, 'size':250}\n\n # generate structure factors and retrieve associated cell information\n sf = cctbx_tools.reference_sf(args['pdb_path'], args['resolution'], expand_to_p1=True)\n sf_data = cctbx_tools.reformat_sf(sf)\n sg_symbol, sg_no, self.cell, cs = cctbx_tools.unit_cell_info(args['pdb_path'])\n \n # add random phase shifts\n hklIp1, hklIp2, hklIp3 = sf_data.copy(), sf_data.copy(), sf_data.copy()\n hklIp2[:,-1], self.shifts2 = phases_utils.add_random_phase_shift(sf_data[:,:3], sf_data[:,-1])\n hklIp3[:,-1], self.shifts3 = phases_utils.add_random_phase_shift(sf_data[:,:3], sf_data[:,-1])\n\n # retain subset of Millers\n for data in [hklIp1,hklIp2,hklIp3]:\n keep_idx = np.unique(np.random.randint(0, high=data.shape[0], size=args['size']))\n data = data[keep_idx]\n \n self.data1, self.data2, self.data3 = hklIp1, hklIp2, hklIp3\n fshifts_list = np.random.uniform(size=(4,3))\n self.fshifts_list = np.vstack((fshifts_list, 1-self.shifts2, 1-self.shifts3))","def __init__(self,fn,previous=False,autoreload=False):\n\t\tself.filename = path_expand(fn)\n\t\tself.paths = unpacker(conf_paths)\n\t\tself.machine = unpacker(conf_gromacs,'machine_configuration')[machine_name]\n\t\tdel sys.modules['yaml']\n\n\t\tself.nprocs = self.machine['nprocs'] if 'nprocs' in self.machine else 1\n\t\t#---write timeseries to the post data directory when making slices\n\t\tself.write_timeseries_to_disk = self.paths.get('timekeeper',False)\n\t\tself.postdir = os.path.join(path_expand(self.paths['post_data_spot']),'')\n\t\tself.plotdir = os.path.join(path_expand(self.paths['post_plot_spot']),'')\n\t\t#---generic variables associated with the workspace\n\t\tself.vars = {}\n\t\tself.meta = {}\n\t\tself.calc = {}\n\t\t#---automatically add preexisting files to the workspace if they are found\n\t\tself.autoreload = autoreload\n\n\t\t#---for each \"spot\" in the yaml file, we construct a template for the data therein\n\t\t#---the table of contents (\"toc\") holds one parsing for every part regex in every spot\n\t\tself.spots,self.toc = {},collections.OrderedDict()\n\t\tfor name,details in self.paths['spots'].items():\n\t\t\trootdir = os.path.join(details['route_to_data'],details['spot_directory'])\n\t\t\tif not os.path.isdir(rootdir):\n\t\t\t\traise Exception('\\n[ERROR] cannot find root directory %s'%rootdir)\n\t\t\tfor part_name,part_regex in details['regexes']['part'].items():\n\t\t\t\tspot = (name,part_name)\n\t\t\t\tself.toc[spot] = {}\n\t\t\t\tself.spots[spot] = {\n\t\t\t\t\t'rootdir':os.path.join(rootdir,''),\n\t\t\t\t\t'top':details['regexes']['top'],\n\t\t\t\t\t'step':details['regexes']['step'],\n\t\t\t\t\t'part':part_regex,\n\t\t\t\t\t'namer':eval(details['namer']),\n\t\t\t\t\t'namer_text':details['namer'],\n\t\t\t\t\t}\n\t\t\t\tself.spots[spot]['divy_keys'] = self.divy_keys(spot)\n\t\t#---we always require an xtc entry in the parts list\n\t\tif 'xtc' not in zip(*self.spots.keys())[1]: \n\t\t\traise Exception('\\n[ERROR] you must have \"xtc\" in the parts list')\n\t\t#---set a cursor which specifies the active spot which should always be the first in the yaml\n\t\tself.cursor = self.spots.keys()[0]\n\t\t#---the self.c variable holds the top spot name but not the part name\n\t\tself.c = self.cursor[0]\n\t\t#---! default to XTC\n\t\tself.trajectory_format = 'xtc'\n\t\tself.merge_method = self.paths.get('merge_method','careful')\n\t\t\n\t\t#---open self if the filename exists \n\t\t#---note that we save parser results but not details from paths.yaml in case these change\n\t\tif os.path.isfile(self.filename): \n\t\t\tself.load(previous=previous)\n\t\t\tself.verify()\n\t\t#---otherwise make a new workspace\n\t\telse: self.bootstrap()","def _setData(self):\n self._data = [ item for ministry in self.query.all() \n for item in self._getItems(ministry) ]","def main():\n partition = 'Common'\n login, pwd, device = get_device_data()\n mgmt = ManagementRoot(login, pwd, device)\n ltm = mgmt.tm.ltm\n pools = ltm.pools.get_collection()\n nodes = ltm.nodes.get_collection()\n display_nodes(nodes)\n display_pools(pools)\n virtuals = ltm.virtuals.get_collection()\n display_virtuals(virtuals)","def init_data(self):\n fields = SeriesRepository.get_available_series().exclude(identifier=None)\n\n if self.catalog:\n try:\n catalog = Catalog.objects.get(identifier=self.catalog)\n except Catalog.DoesNotExist:\n return\n\n fields = fields.filter(\n distribution__dataset__catalog=catalog\n )\n\n fields = fields.prefetch_related(\n 'distribution',\n 'distribution__dataset',\n 'distribution__dataset__catalog',\n 'enhanced_meta',\n )\n all_meta = Metadata.objects.all()\n field_ct = ContentType.objects.get_for_model(Field)\n for field in fields:\n meta = json.loads(field.metadata)\n dist_meta = json.loads(field.distribution.metadata)\n dataset_meta = json.loads(field.distribution.dataset.metadata)\n themes = field.distribution.dataset.themes\n theme_labels = get_theme_labels(json.loads(themes)) if themes else ''\n\n self.fields[field.identifier] = {\n 'dataset': field.distribution.dataset,\n 'distribution': field.distribution,\n 'serie': field,\n 'serie_titulo': field.title,\n 'serie_unidades': meta.get('units'),\n 'serie_descripcion': meta.get('description'),\n 'distribucion_titulo': dist_meta.get('title'),\n 'distribucion_descripcion': dist_meta.get('description'),\n 'distribucion_url_descarga': field.distribution.download_url,\n 'dataset_responsable': dataset_meta.get('publisher', {}).get('name'),\n 'dataset_fuente': dataset_meta.get('source'),\n 'dataset_titulo': field.distribution.dataset.title,\n 'dataset_descripcion': dataset_meta.get('description'),\n 'dataset_tema': theme_labels,\n 'metadata': {o.key: o.value for o in list(all_meta.filter(content_type=field_ct, object_id=field.id))},\n 'frequency': self.serie_periodicity(field),\n }","def create(self):\n statusList = []\n ## generating the different substructures\n for s in self.substructures:\n ## create the data substructure object\n if s.type.lower() == \"mysql\":\n datasubstructure = MySQLSubstructure(**s)\n if s.type.lower() == \"hbase\":\n datasubstructure = HBaseSubstructure(**s)\n if s.type.lower() == \"metastore\":\n datasubstructure = MetastoreSubstructure(**s)\n if s.type.lower() == \"avro\":\n datasubstructure = AvroSubstructure(**s)\n \n print(\"Creating data substructure\")\n print(\"--------------------------\")\n datasubstructure.show()\n ## generate the substructure \n statusList.append(datasubstructure.create())\n\n return(statusList)","def __init__(self, Set, runDirectory):\n #Enforce directory structure\n self.Set = Set\n self.DataDir = Set.DataDir\n self.ParentDir = os.path.dirname(self.DataDir)\n self.RunDir = os.path.join(self.ParentDir, runDirectory)\n if os.path.isdir(self.RunDir): #overwrites if exists\n print('WARNING: directory already exists,,, delete or rename it')\n else:\n try:\n os.mkdir(self.RunDir)\n except:\n print('unable to create RunDir')\n pass\n #NOTE: change based on machine...\n #self.ScriptDir = '/Users/scotthenderson/dev/matlab/timeseries'\n self.ScriptDir = '/home/scott/myscripts/matlab/timeseries'\n #self.ProcDir = os.path.join(self.RunDir, 'clean_stack') # keep same as procdir\n self.OutDir = os.path.join(self.RunDir, 'output')\n self.AuxDir = os.path.join(self.ParentDir, 'aux_files')\n #NOTE: if separate mask files are needed make additional aux_files folder\n #append to prefix w/ each processing step,\n #NOTE: if this isn't changed, files will be overwitten\n self.MaskPrefix = ''\n self.DataPrefix = ''\n\n self.Igthresh = 10\n self.Cothresh = 0.001 #NOTE: best to let temporal averaging take care of noise\n self.Damping = 1e-6\n\n self.MaskBorder = True\n self.MaskGradient = True\n self.MaskIgthresh = True\n self.MaskCothresh = True\n self.RampRemove = True\n self.Inversion = 'svd' # 'ls','wdls'","def initializeCollection():\n return {SENSOR1:[], SENSOR2:[], SENSOR3:[],SENSOR4:[], DATE:[]}","def update_sys_resource():\n\n cpu_cores = get_cpu_cores()\n logger.debug(\"starting top module\")\n cpu_usage = get_cpu_usage()\n mem_usage = get_mem_usage()\n df_usage = get_df_usage()\n logger.debug(\"round instrument data ready, next is top 5data\")\n fields = [\n 'check_time', 'cpu_usage', 'cpu_all', 'cpu_using', 'mem_usage',\n 'mem_all', 'mem_using', 'disk_usage', 'disk_all', 'disk_using',\n 'cpu_topN', 'mem_topN', 'disk_topN', 'net_in_topN', 'net_out_topN'\n ]\n # result = {}\n # result.fromkeys(field, None)\n result = {i: None for i in fields}\n result['check_time'] = int(time.time())\n result['cpu_all'] = cpu_cores\n result['cpu_usage'] = cpu_usage\n result['mem_all'], result['mem_using'] = mem_usage\n result['disk_all'], result['disk_using'] = df_usage\n try:\n result['mem_usage'] = result['mem_using'] / result['mem_all']\n except ZeroDivisionError:\n result['mem_usage'] = 0.0\n try:\n result['disk_usage'] = result['disk_using'] / result['disk_all']\n except ZeroDivisionError:\n result['disk_usage'] = 0.0\n result['cpu_topN'] = get_topN_cpu()\n net_topn_data = get_topN_netIO()\n mnd_topn_data = get_topN_mnd()\n result[\"mem_topN\"] = mnd_topn_data[\"mem.bytes.memavailable\"]\n result[\"disk_topN\"] = mnd_topn_data[\"df.bytes.used\"]\n result[\"net_in_topN\"] = net_topn_data[\"cluster.net.dev.receive\"]\n result[\"net_out_topN\"] = net_topn_data[\"cluster.net.dev.transmit\"]\n # print(result)\n send_to_db('argus-statistics', 'sys_resource', result)\n logger.debug(\"update is already success\")","def create_data():\n # Locations\n data = {}\n num_vehicles = 20\n depot = 0\n locations = loc1\n demands = popn\n\n num_locations = len(locations)\n dist_matrix = {}\n\n for from_node in range(0,num_locations):\n dist_matrix[from_node] = {}\n\n for to_node in range(0,num_locations):\n dist_matrix[from_node][to_node] = (\n haversine(\n locations[from_node],[to_node])\n #locations[to_node],[from_node])\n \"\"\"\n data[\"distances\"] =dist_matrix\n data[\"num_locations\"] = len(dist_matrix)\n data[\"num_vehicles\"] = 6\n data[\"depot\"] = 0\n data[\"demands\"] = demands\n #data[\"vehicle_capacities\"] = capacities\n data[\"time_per_demand_unit\"] = 0.05\n return data\n \"\"\"\n return [ num_vehicles, depot, locations, dist_matrix]","def main():\n logger = logging.getLogger(__name__)\n logger.info('making final data set from raw data')\n get_user_config()","def datacollection(self):\n \n self.datadict = {'name': self.name, 'supplyname': self.supplyname, 'tranname': self.tranname, 'demandname': self.demandname, \n 'nodenum': self.nodenum, 'demandnum': self.demandnum, 'trannum': self.trannum, 'supplynum': self.supplynum,\n \"demandseries\": self.demandseries, 'transeries': self.transeries, 'supplyseries': self.supplyseries,\n \"edgediameter\": self.edgediameter, 'population_assignment': self.popuassign, 'elevation': self.elevation, 'color': self.color}","def setup(self):\n in_dataset, out_dataset = self.get_datasets()\n \n out_dataset[0].create_dataset(in_dataset[0])\n out_dataset[1].create_dataset(in_dataset[1])\n\n in_pData, out_pData = self.get_plugin_datasets()\n\n in_pData[0].plugin_data_setup( 'SINOGRAM',multiple)\n out_pData[0].plugin_data_setup( 'PROJECTION','multiple')\n\n in_pData[1].plugin_data_setup( 'PROJECTION',)\n out_pData[1].plugin_data_setup( 'PROJECTION','multiple')","def initialize(self):\n self.muondEdx = []\n self.muondNdx = []\n self.muonmomentum = []\n self.piondEdx = []\n self.piondNdx = []\n self.pionmomentum = []\n self.kaondEdx = []\n self.kaondNdx = []\n self.kaonmomentum = []\n self.protdEdx = []\n self.protdNdx = []\n self.protmomentum = []\n self.elecdEdx = []\n self.elecdNdx = []\n self.elecmomentum = []","def dataframe():\n\t#allows function to access station, gmt, and miss_station functions\n global stations\n\tglobal gmt\n\tglobal miss_station\n\t\n\t#read predictor file\n\tcontrol = cfg.read_yaml('../registry/graphs.yaml')\n\tpred_ctrl = cfg.read_yaml(cfg.get_config_path(control.pred_file))\n\tpredd_ctrl = cfg.read_yaml(cfg.get_config_path(control.predd_file))\n\n\t#get file paths and update database\n\tpredictor_file_path = control.predictor_file_path\n\tpredictand_file_path = control.predictand_file_path\n\tpred_file_id = update(predictor_file_path)\n\tpredd_file_id = update(predictand_file_path)\n\t\n\t#store lead time and date range\n\tlead_time = control.lead_time\n\tdate_range = control.date_range\n\n\t#get info for fetch many dates\n\tstart,end,stride = read_pred.parse_range(date_range)\n\tfcst_ref_time = control.date_range[0].split('-')[0][-2:]\n\t\n\t#initialize list of predictors\n\tpred_list = pred_ctrl.predictors\n\tpredictor = []\n\n\t#loops through predictors to build camps data objects\n\tfor entry_dict in pred_list:\n\t\t#formats metadata\n\t\tpred = create.preprocess_entries(entry_dict, fcst_ref_time)\n\t\t\n\t\t#adds info to metadata that's not currently being stored\n\t\tpred.search_metadata['reserved2'] = lead_time*3600\n pred.search_metadata['file_id'] = pred_file_id\n\t\tpred.search_metadata['reserved1'] = 'vector'\n\n\t\t#build camps data objects for each day\n\t\tvariable = fetch_many_dates(predictor_file_path,start,end,stride,pred.search_metadata)\n\t\t\n\t\t#appends all data to single camps object\n\t\tif variable[0] is not None:\n\t\t\tvar = variable[0]\n\t\t\tarrs = []\n\t\t\tfor i in range(len(variable)):\n\t\t\t\tarrs.append(variable[i].data)\n\t\t\tvar.data = np.stack(arrs)\n\t\t\tpredictor.append(var)\n\n\t#initializes list of predictands\n\tpredd_list = predd_ctrl.predictands\n predictand = []\n\t\n\t#loops through predictands to build camps data objects\n for entry_dict in predd_list:\n\t\t#formats metadata\n \tvertical_coordinate = entry_dict.pop('Vertical_Coordinate')\n\t\tentry_dict['file_id'] = predd_file_id\n\n\t\t#build camps objects for each day\n variable = fetch_many_dates(predictand_file_path,start, end, stride, entry_dict)\n\n\t\t#append all data to single camps object\n var = variable[0]\n arrs = []\n for i in range(len(variable)):\n arrs.append(variable[i].data)\n try:\n\t\t\tvar.data = np.stack(arrs)\n\t\t\tpredictand.append(var)\n\t\texcept:\n\t\t\tprint(\"Can't read \" + variable.name)\n\n\t#getting predictor station and time data\n\tpredr = Dataset(predictor_file_path[0])\n\tpredr_stat = predr.variables['station'][:]\n\tif lead_time == 3:\n\t\tpredr_time = predr.variables['OM__phenomenonTimeInstant'][:]\n\telif lead_time == 6:\n\t\tpredr_time = predr.variables['OM__phenomenonTimeInstant1'][:]\n\telif lead_time == 12:\n\t\tpredr_time = predr.variables['OM__phenomenonTimeInstant2'][:]\n\tpredr.close()\n\n\t#reformatting predictor station and time data\n\tpredr_stations = stations(predr_stat)\n\tpredr_gmt = gmt(predr_time)\n\t\n\t#getting predictand station and time data\n\tpredd = Dataset(predictand_file_path[0])\n\tpredd_stat = predd.variables['station'][:]\n\tpredd_time = predd.variables['OM__resultTime'][:]\n\tpredd.close()\n\t\n\t#reformatting predictand station and time data\n\tpredd_stations = stations(predd_stat)\n\tpredd_gmt = gmt(predd_time)\n\n\t#choosing predictand observations that line up with predictor time\n\thour = (predictor[0].metadata['FcstTime_hour']/3600) + lead_time\n\tdays = len(predd_gmt)/24\n\tpredd_hours = [0]*days\n k=0\n for i in range(len(predd_gmt)):\n if i%24 == hour:\n\t\t\tpredd_hours[k]=predd_gmt[i]\n\t\t\tk+=1\n\t\n\t#catches when GFS data doesn't cover the last day of the month\n\tif len(predr_gmt) < len(predd_hours):\n\t\tpredd_hours = predd_hours[:-1]\t\n\t\n\t#find missing stations\n\tmiss_stations = miss_station(predr_stations,predd_stations)\n\tstations = predd_stations\n\t\n\t#station and time array\n\tinfo = [['',''] for k in range(len(predr_gmt)*len(stations))]\n\tfor i in range(len(predr_gmt)):\n\t\tfor j in range(len(stations)):\n\t\t\tk = i*len(stations)+j\n\t\t\tinfo[k][0]=predr_gmt[i]\n\t\t\tinfo[k][1]=stations[j]\n\n\t#create column names\n\tnames = ['']*(len(predictor)+len(predictand)+2)\n\tnames[0]='Time'\n\tnames[1]='Station'\n\n\t#creating array\n\tarr = np.zeros((len(stations)*len(predr_gmt),len(predictor)+len(predictand)))\n\t\n\t#adding predictor data\n\tfor i in range(len(predictor)):\n\t\t#remove lead time and forecast reference time from variable name\n\t\t#and add variable name to column list of final dataframe\n\t\tif lead_time == 12:\n\t\t\tnames[i+2]='GFS_'+predictor[i].get_variable_name()[:-11]\n\t\telse:\n\t\t\t names[i+2]='GFS_'+predictor[i].get_variable_name()[:-10]\n\n\t\t#create pandas dataframe of data and sort alphabetically by station name\n\t\tpredictor[i].data = np.squeeze(predictor[i].data,axis=2)\n\t\tpredictor[i].data = pd.DataFrame(predictor[i].data,columns=predr_stations,index=predr_gmt)\n\t\tpredictor[i].data = predictor[i].data.reindex(sorted(predictor[i].data.columns),axis=1)\n\t\t\n\t\t#remove stations with no predictand data\n\t\tk=0\n\t\ta=miss_stations[:]\n\t\tfor j in predictor[i].data.columns:\n\t\t\tif not a:\n\t\t\t\tbreak\n\t\t\tif j==a[k]:\n\t\t\t\tpredictor[i].data=predictor[i].data.drop(j,axis=1)\n\t\t\t\tdel a[k]\n\t\t\n\t\t#add data to final dataframe\n\t\tfor b in range(len(predr_gmt)):\n\t\t\tfor c in range(len(stations)):\n\t\t\t\tk = b*len(stations)+c\n\t\t\t\tarr[k][i] = predictor[i].data.iloc[b][c]\n\n\t#add predictand data\n\tfor i in range(len(predictand)):\n\t\t#removing extra underscore, adding variable name to column names\n\t\tnames[len(predictor)+2+i]='METAR_'+predictand[i].get_variable_name()[:-1]\n\t\n\t\t#resize array and create pandas dataframe\n\t\tpredictand[i].data = np.squeeze(predictand[i].data,axis=2)\n\t\tpredictand[i].data = pd.DataFrame(predictand[i].data,columns=predd_stations,index=predd_hours)\n\t\tpredictand[i].data = predictand[i].data.reindex(sorted(predictand[i].data.columns),axis=1)\n\t\t\n\t\t#remove extra days of predictand data\n\t\tpredictand[i].data = predictand[i].data.iloc[0:len(predr_time),:]\n\t\t\t\n\t\t#add predictand data to array\n\t\tfor b in range(len(predr_gmt)):\n\t\t\tfor c in range(len(stations)):\n\t\t\t\tk = b*len(stations)+c\n\t\t\t\tval = predictand[i].data.iloc[b][c]\n\t\t\t\t\n\t\t\t\t#catch metar fill data\n\t\t\t\tif val == 9999: \n\t\t\t\t\tval = np.nan\n\t\t\t\tarr[k][len(predictor)+i]=val\n\t\n\t#add station and time data to array and save as csv\n\tdata = np.concatenate([info,arr],axis = 1)\n\tto_save = pd.DataFrame(data,columns=names)\n\tto_save.to_csv(str(start)+'_'+str(end)+'_'+str(lead_time)+'hrs.csv')","def _create_data():\n tf.logging.info(\"Create records..\")\n train, val, test = util.load_data(data_dir, FLAGS[\"is_aug\"])\n tf.logging.info(\"Dataset size: Train-{} Test-{} Val-{}\".format(len(train), len(test), len(val)))\n return train, val, test","def datasets(self):\n return [Dataset.GWAS_CATALOG, Dataset.CLINVAR, Dataset.EFO]","def set_resource_data(self, resource, meta):\n\n # map resource data names to SAM required data names\n var_map = {'speed': 'windspeed',\n 'direction': 'winddirection',\n 'airtemperature': 'temperature',\n 'temp': 'temperature',\n 'surfacepressure': 'pressure',\n 'relativehumidity': 'rh',\n 'humidity': 'rh',\n }\n lower_case = {k: k.lower().replace(' ', '').replace('_', '')\n for k in resource.columns}\n resource = resource.rename(mapper=lower_case, axis='columns')\n resource = resource.rename(mapper=var_map, axis='columns')\n\n data_dict = {}\n var_list = ['temperature', 'pressure', 'windspeed', 'winddirection']\n if 'winddirection' not in resource:\n resource['winddirection'] = 0.0\n\n time_index = resource.index\n self.time_interval = self.get_time_interval(resource.index.values)\n\n data_dict['fields'] = [1, 2, 3, 4]\n data_dict['heights'] = 4 * [self.sam_sys_inputs['wind_turbine_hub_ht']]\n\n if 'rh' in resource:\n # set relative humidity for icing.\n rh = self.ensure_res_len(resource['rh'].values, time_index)\n n_roll = int(meta['timezone'] * self.time_interval)\n rh = np.roll(rh, n_roll, axis=0)\n data_dict['rh'] = rh.tolist()\n\n # must be set as matrix in [temperature, pres, speed, direction] order\n # ensure that resource array length is multiple of 8760\n # roll the truncated resource array to local timezone\n temp = self.ensure_res_len(resource[var_list].values, time_index)\n n_roll = int(meta['timezone'] * self.time_interval)\n temp = np.roll(temp, n_roll, axis=0)\n data_dict['data'] = temp.tolist()\n\n data_dict['lat'] = meta['latitude']\n data_dict['lon'] = meta['longitude']\n data_dict['tz'] = meta['timezone']\n data_dict['elev'] = meta['elevation']\n\n time_index = self.ensure_res_len(time_index, time_index)\n data_dict['minute'] = time_index.minute\n data_dict['hour'] = time_index.hour\n data_dict['year'] = time_index.year\n data_dict['month'] = time_index.month\n data_dict['day'] = time_index.day\n\n # add resource data to self.data and clear\n self['wind_resource_data'] = data_dict\n self['wind_resource_model_choice'] = 0","def __init__(self, data):\n # check if dataset contains time information\n # (fetched from bootloader storage)\n if len(data) == 61:\n (_, seconds, minutes, hours, days, months, years) = struct.unpack(\n '<55sBBBBBB', data)\n self.date = datetime(2000 + years, months, days, hours, minutes,\n seconds)\n\n # Only parse preceding data\n data = data[:55]\n power = [0, 0]\n kWh = [0, 0]\n MWh = [0, 0]\n (_, digital, speed, active, power[0], kWh[0], MWh[0], power[1], kWh[1],\n MWh[1]) = struct.unpack('<32sH4sBLHHLHH', data)\n\n analog = struct.unpack(\n '<{}{}'.format('H' * 16, 'x' * (len(data) - 32)), data)\n\n self.analog = {}\n for channel in range(0, 16):\n self.analog[channel + 1] = round(\n self._convert_analog(analog[channel]), 3)\n\n self.digital = {}\n for channel in range(0, 16):\n self.digital[channel + 1] = self._convert_digital(digital, channel)\n\n '''\n self.speed = {}\n for channel in range(0, 4):\n self.speed[channel + 1] = round(\n self._convert_speed(speed[channel]), 3)\n \n\n self.energy = {}\n for channel in range(0, 2):\n self.energy[channel + 1] = round(\n self._convert_energy(MWh[channel], kWh[channel], active,\n channel), 3)\n \n\n self.power = {}\n for channel in range(0, 2):\n self.power[channel + 1] = round(\n self._convert_power(power[channel], active, channel), 3)\n '''","def makeData(datasetNum=0,windowSize=30,rawImages=False,delOuts='No',\r\n timesOut=0,savePath=saveDataPath,jobPathPrint=os.path.join(homeDic,'Tesis','results'),\r\n hists='No'):\r\n startTime = time.time()\r\n dataBaseDict = gD.createDataset(datasetNum,windowSize,rawImages,delOuts,\r\n timesOut,jobPathPrint)\r\n endTime = time.time()\r\n \r\n runningTime = endTime - startTime\r\n print('Total minutes used to create the data base: ', runningTime/60)\r\n \r\n dataSets = ['SC', 'ST']\r\n dataType = dataSets[datasetNum]\r\n \r\n if rawImages:\r\n imgType = 'raw'\r\n else:\r\n imgType = 'amp'\r\n dataBaseName = 'dataBaseDict_{}_{}_{}_{}.pkl'\r\n dataBasefile = dataBaseName.format(dataType,imgType,windowSize,timesOut)\r\n dataSavePath = os.path.join(savePath,dataBasefile)\r\n \r\n pickle.dump( dataBaseDict, open(dataSavePath, 'wb'), \r\n pickle.HIGHEST_PROTOCOL)\r\n print('Saved dataBase')\r\n \r\n if hists == 'Yes':\r\n gD.getHist(dataBaseDict) \r\n return dataBaseDict","def create(self):\n\n for sample_name, sample_info in self.samples.items():\n if not sample_info[\"use_it\"]:\n continue\n process_name = sample_info[\"process_name_specific\"]\n sample_category = sample_info[\"sample_category\"]\n is_mc = (sample_info[\"type\"] == \"mc\")\n\n logging.info(\"Building dictionaries for sample %s...\" % process_name)\n for charge_selection in self.charge_selections:\n central_or_shift_extensions = [\"\", \"hadd\", \"addBackgrounds\"]\n central_or_shifts_extended = central_or_shift_extensions + self.central_or_shifts\n for central_or_shift_or_dummy in central_or_shifts_extended:\n process_name_extended = [ process_name, \"hadd\" ]\n for process_name_or_dummy in process_name_extended:\n if central_or_shift_or_dummy in [ \"hadd\" ] and process_name_or_dummy in [ \"hadd\" ]:\n continue\n if central_or_shift_or_dummy != \"central\" and central_or_shift_or_dummy not in central_or_shift_extensions:\n if not is_mc:\n continue\n if not self.accept_central_or_shift(central_or_shift_or_dummy, sample_info):\n continue\n\n key_dir = getKey(process_name_or_dummy, charge_selection, central_or_shift_or_dummy)\n for dir_type in [ DKEY_CFGS, DKEY_HIST, DKEY_LOGS, DKEY_RLES ]:\n initDict(self.dirs, [ key_dir, dir_type ])\n if dir_type in [ DKEY_CFGS, DKEY_LOGS ]:\n self.dirs[key_dir][dir_type] = os.path.join(self.get_dir_type(dir_type), dir_type, self.channel,\n \"_\".join([ charge_selection ]), process_name_or_dummy, central_or_shift_or_dummy)\n else:\n self.dirs[key_dir][dir_type] = os.path.join(self.outputDir, dir_type, self.channel,\n \"_\".join([ charge_selection ]), process_name_or_dummy)\n for subdirectory in [ \"comp_jetToTauFakeRate\", \"makePlots\" ]:\n key_dir = getKey(subdirectory)\n for dir_type in [ DKEY_CFGS, DKEY_HIST, DKEY_LOGS, DKEY_DCRD, DKEY_PLOT ]:\n initDict(self.dirs, [ key_dir, dir_type ])\n if dir_type in [ DKEY_CFGS, DKEY_LOGS, DKEY_DCRD, DKEY_PLOT ]:\n self.dirs[key_dir][dir_type] = os.path.join(self.get_dir_type(dir_type), dir_type, self.channel, subdirectory)\n else:\n self.dirs[key_dir][dir_type] = os.path.join(self.outputDir, dir_type, self.channel, subdirectory)\n for dir_type in [ DKEY_CFGS, DKEY_SCRIPTS, DKEY_HIST, DKEY_LOGS, DKEY_DCRD, DKEY_PLOT, DKEY_HADD_RT ]:\n initDict(self.dirs, [ dir_type ])\n if dir_type in [ DKEY_CFGS, DKEY_SCRIPTS, DKEY_LOGS, DKEY_DCRD, DKEY_PLOT, DKEY_HADD_RT ]:\n self.dirs[dir_type] = os.path.join(self.get_dir_type(dir_type), dir_type, self.channel)\n else:\n self.dirs[dir_type] = os.path.join(self.outputDir, dir_type, self.channel)\n\n numDirectories = 0\n for key in self.dirs.keys():\n if type(self.dirs[key]) == dict:\n numDirectories += len(self.dirs[key])\n else:\n numDirectories += 1\n logging.info(\"Creating directory structure (numDirectories = %i)\" % numDirectories)\n numDirectories_created = 0;\n frac = 1\n for key in self.dirs.keys():\n if type(self.dirs[key]) == dict:\n for dir_type in self.dirs[key].keys():\n create_if_not_exists(self.dirs[key][dir_type])\n numDirectories_created += len(self.dirs[key])\n else:\n create_if_not_exists(self.dirs[key])\n numDirectories_created = numDirectories_created + 1\n while 100*numDirectories_created >= frac*numDirectories:\n logging.info(\" %i%% completed\" % frac)\n frac = frac + 1\n logging.info(\"Done.\")\n\n inputFileLists = {}\n for sample_name, sample_info in self.samples.items():\n if not sample_info[\"use_it\"]:\n continue\n logging.info(\"Checking input files for sample %s\" % sample_info[\"process_name_specific\"])\n inputFileLists[sample_name] = generateInputFileList(sample_info, self.max_files_per_job)\n\n self.inputFileIds = {}\n for sample_name, sample_info in self.samples.items():\n if not sample_info[\"use_it\"]:\n continue\n\n process_name = sample_info[\"process_name_specific\"]\n inputFileList = inputFileLists[sample_name]\n\n logging.info(\"Creating configuration files to run '%s' for sample %s\" % (self.executable_analyze, process_name))\n\n is_mc = (sample_info[\"type\"] == \"mc\")\n sample_category = sample_info[\"sample_category\"]\n\n for charge_selection in self.charge_selections:\n for central_or_shift in self.central_or_shifts:\n \n if central_or_shift != \"central\" and not is_mc:\n continue\n if not self.accept_central_or_shift(central_or_shift, sample_info):\n continue\n\n # build config files for executing analysis code\n key_analyze_dir = getKey(process_name, charge_selection, central_or_shift)\n\n for jobId in inputFileList.keys():\n\n analyze_job_tuple = (process_name, charge_selection, central_or_shift, jobId)\n key_analyze_job = getKey(*analyze_job_tuple)\n ntupleFiles = inputFileList[jobId]\n if len(ntupleFiles) == 0:\n logging.warning(\"No input ntuples for %s --> skipping job !!\" % (key_analyze_job))\n continue\n\n cfgFile_modified_path = os.path.join(self.dirs[key_analyze_dir][DKEY_CFGS], \"analyze_%s_%s_%s_%i_cfg.py\" % analyze_job_tuple)\n logFile_path = os.path.join(self.dirs[key_analyze_dir][DKEY_LOGS], \"analyze_%s_%s_%s_%i.log\" % analyze_job_tuple)\n histogramFile_path = os.path.join(self.dirs[key_analyze_dir][DKEY_HIST], \"analyze_%s_%s_%s_%i.root\" % analyze_job_tuple)\n rleOutputFile_path = os.path.join(self.dirs[key_analyze_dir][DKEY_RLES], \"rle_%s_%s_%s_%i.txt\" % analyze_job_tuple) \\\n if self.select_rle_output else \"\"\n\n self.jobOptions_analyze[key_analyze_job] = {\n 'ntupleFiles' : ntupleFiles,\n 'cfgFile_modified' : cfgFile_modified_path,\n 'histogramFile' : histogramFile_path,\n 'logFile' : logFile_path,\n 'chargeSelection' : charge_selection,\n 'jet_minPt' : self.jet_minPt,\n 'jet_maxPt' : self.jet_maxPt,\n 'jet_minAbsEta' : self.jet_minAbsEta,\n 'jet_maxAbsEta' : self.jet_maxAbsEta,\n 'hadTau_selection_tight' : self.hadTau_selection_tight,\n 'hadTauSelection_denominator' : self.hadTau_selection_denominator,\n 'hadTauSelections_numerator' : self.hadTau_selections_numerator,\n 'trigMatchingOptions' : self.trigMatchingOptions,\n 'selEventsFileName_output' : rleOutputFile_path,\n 'absEtaBins' : self.absEtaBins,\n 'decayModes' : self.decayModes,\n 'central_or_shift' : central_or_shift,\n 'central_or_shifts_local' : [],\n 'apply_hlt_filter' : self.hlt_filter,\n }\n self.createCfg_analyze(self.jobOptions_analyze[key_analyze_job], sample_info)\n\n # initialize input and output file names for hadd_stage1\n key_hadd_stage1_dir = getKey(process_name, charge_selection)\n hadd_stage1_job_tuple = (process_name, charge_selection)\n key_hadd_stage1_job = getKey(*hadd_stage1_job_tuple)\n if not key_hadd_stage1_job in self.inputFiles_hadd_stage1:\n self.inputFiles_hadd_stage1[key_hadd_stage1_job] = []\n self.inputFiles_hadd_stage1[key_hadd_stage1_job].append(self.jobOptions_analyze[key_analyze_job]['histogramFile'])\n self.outputFile_hadd_stage1[key_hadd_stage1_job] = os.path.join(self.dirs[key_hadd_stage1_dir][DKEY_HIST],\n \"hadd_stage1_%s_%s.root\" % hadd_stage1_job_tuple)\n\n # initialize input and output file names for hadd_stage2\n key_hadd_stage1_job = getKey(process_name, charge_selection)\n key_hadd_stage2_dir = getKey(\"hadd\", charge_selection)\n key_hadd_stage2_job = getKey(charge_selection)\n if not key_hadd_stage2_job in self.inputFiles_hadd_stage2:\n self.inputFiles_hadd_stage2[key_hadd_stage2_job] = []\n self.inputFiles_hadd_stage2[key_hadd_stage2_job].append(self.outputFile_hadd_stage1[key_hadd_stage1_job])\n self.outputFile_hadd_stage2[key_hadd_stage2_job] = os.path.join(self.dirs[key_hadd_stage2_dir][DKEY_HIST],\n \"hadd_stage2_%s.root\" % charge_selection)\n\n logging.info(\"Creating configuration files for executing 'comp_jetToTauFakeRate'\")\n for charge_selection in self.charge_selections:\n charge_key = \"comp_%s\" % charge_selection\n self.comp_input_files[charge_key] = []\n for trigMatchingOption in self.trigMatchingOptions:\n key_hadd_stage2_job = getKey(charge_selection)\n key_comp_jetToTauFakeRate_dir = getKey(\"comp_jetToTauFakeRate\")\n key_comp_jetToTauFakeRate_job = getKey(charge_selection, trigMatchingOption)\n self.jobOptions_comp_jetToTauFakeRate[key_comp_jetToTauFakeRate_job] = {\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2_job],\n 'cfgFile_modified' : os.path.join(\n self.dirs[DKEY_CFGS], \"comp_jetToTauFakeRate_%s_%s_cfg.py\" % (charge_selection, trigMatchingOption)),\n 'outputFile' : os.path.join(\n self.dirs[DKEY_HIST], \"comp_jetToTauFakeRate_%s_%s.root\" % (charge_selection, trigMatchingOption)),\n 'logFile' : os.path.join(\n self.dirs[DKEY_LOGS], \"comp_jetToTauFakeRate_%s_%s.log\" % (charge_selection, trigMatchingOption)),\n 'looseRegion' : \"jetToTauFakeRate_%s_%s/denominator/\" % (charge_selection, trigMatchingOption),\n 'tightRegion' : \"jetToTauFakeRate_%s_%s/numerator/\" % (charge_selection, trigMatchingOption),\n 'absEtaBins' : self.absEtaBins,\n 'ptBins' : self.ptBins,\n 'decayModes' : self.decayModes,\n 'hadTauSelections' : self.hadTau_selections_numerator,\n 'trigMatchingOption' : trigMatchingOption,\n 'plots_outputFileName' : os.path.join(self.dirs[key_comp_jetToTauFakeRate_dir][DKEY_PLOT], \"comp_jetToTauFakeRate_%s.png\" % trigMatchingOption)\n }\n self.createCfg_comp_jetToTauFakeRate(self.jobOptions_comp_jetToTauFakeRate[key_comp_jetToTauFakeRate_job])\n comp_output = self.jobOptions_comp_jetToTauFakeRate[key_comp_jetToTauFakeRate_job]['outputFile']\n self.targets.append(comp_output)\n self.comp_input_files[charge_key].append(comp_output)\n self.comp_output_files[charge_key] = os.path.join(self.dirs[DKEY_HIST], \"comp_jetToTauFakeRate_%s.root\" % charge_selection)\n\n logging.info(\"Creating configuration files to run 'makePlots'\")\n for charge_selection in self.charge_selections:\n key_hadd_stage2_job = getKey(charge_selection)\n key_makePlots_dir = getKey(\"makePlots\")\n key_makePlots_job = getKey(charge_selection) \n self.jobOptions_make_plots[key_makePlots_job] = {\n 'executable' : self.executable_make_plots,\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2_job],\n 'cfgFile_modified' : os.path.join(\n self.dirs[key_makePlots_dir][DKEY_CFGS], \"makePlots_%s_cfg.py\" % self.channel),\n 'outputFile' : os.path.join(\n self.dirs[key_makePlots_dir][DKEY_PLOT], \"makePlots_%s.png\" % self.channel),\n 'histogramDir' : \"jetToTauFakeRate_%s\" % charge_selection,\n 'label' : None,\n 'make_plots_backgrounds' : self.make_plots_backgrounds\n }\n self.createCfg_makePlots(self.jobOptions_make_plots[key_makePlots_job])\n for trigMatchingOption in self.trigMatchingOptions:\n self.cfgFile_make_plots = self.cfgFile_make_plots_denominator\n for absEtaBin in [ \"absEtaLt1_5\", \"absEta1_5to9_9\" ]:\n key_hadd_stage2_job = getKey(charge_selection)\n key_makePlots_job = getKey(charge_selection, trigMatchingOption, absEtaBin, \"denominator\") \n self.jobOptions_make_plots[key_makePlots_job] = {\n 'executable' : self.executable_make_plots,\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2_job],\n 'cfgFile_modified' : os.path.join(\n self.dirs[key_makePlots_dir][DKEY_CFGS], \"makePlots_%s_%s_%s_denominator_%s_cfg.py\" % \\\n (self.channel, charge_selection, trigMatchingOption, absEtaBin)),\n 'outputFile' : os.path.join(\n self.dirs[key_makePlots_dir][DKEY_PLOT], \"makePlots_%s_%s_%s_denominator_%s.png\" % (self.channel, charge_selection, trigMatchingOption, absEtaBin)),\n 'histogramDir' : \"jetToTauFakeRate_%s_%s/denominator/%s\" % (charge_selection, trigMatchingOption, absEtaBin),\n 'label' : None,\n 'make_plots_backgrounds' : self.make_plots_backgrounds\n }\n self.createCfg_makePlots(self.jobOptions_make_plots[key_makePlots_job])\n for hadTau_selection_numerator in self.hadTau_selections_numerator:\n key_hadd_stage2_job = getKey(charge_selection)\n key_makePlots_job = getKey(charge_selection, trigMatchingOption, absEtaBin, \"numerator\", hadTau_selection_numerator)\n self.jobOptions_make_plots[key_makePlots_job] = {\n 'executable' : self.executable_make_plots,\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2_job],\n 'cfgFile_modified' : os.path.join(\n self.dirs[key_makePlots_dir][DKEY_CFGS], \"makePlots_%s_%s_%s_numerator_%s_%s_cfg.py\" % \\\n (self.channel, charge_selection, trigMatchingOption, hadTau_selection_numerator, absEtaBin)),\n 'outputFile' : os.path.join(\n self.dirs[key_makePlots_dir][DKEY_PLOT], \"makePlots_%s_%s_%s_numerator_%s_%s.png\" % \\\n (self.channel, charge_selection, trigMatchingOption, hadTau_selection_numerator, absEtaBin)),\n 'histogramDir' : \"jetToTauFakeRate_%s_%s/numerator/%s/%s\" % (charge_selection, trigMatchingOption, hadTau_selection_numerator, absEtaBin),\n 'label' : None,\n 'make_plots_backgrounds' : self.make_plots_backgrounds\n }\n self.createCfg_makePlots(self.jobOptions_make_plots[key_makePlots_job])\n\n self.sbatchFile_analyze = os.path.join(self.dirs[DKEY_SCRIPTS], \"sbatch_analyze_%s.py\" % self.channel)\n self.sbatchFile_comp_jetToTauFakeRate = os.path.join(self.dirs[DKEY_SCRIPTS], \"sbatch_comp_jetToTauFakeRate.py\")\n if self.is_sbatch:\n logging.info(\"Creating script for submitting '%s' jobs to batch system\" % self.executable_analyze)\n self.createScript_sbatch_analyze(self.executable_analyze, self.sbatchFile_analyze, self.jobOptions_analyze)\n logging.info(\"Creating script for submitting '%s' jobs to batch system\" % self.executable_comp_jetToTauFakeRate)\n self.createScript_sbatch(self.executable_comp_jetToTauFakeRate, self.sbatchFile_comp_jetToTauFakeRate, self.jobOptions_comp_jetToTauFakeRate)\n\n lines_makefile = []\n self.addToMakefile_analyze(lines_makefile)\n self.addToMakefile_hadd_stage1(lines_makefile)\n self.addToMakefile_hadd_stage2(lines_makefile, make_dependency = \"phony_hadd_stage1\", max_mem = '4096M')\n self.addToMakefile_comp_jetToTauFakeRate(lines_makefile)\n self.addToMakefile_comp_hadd(lines_makefile)\n self.addToMakefile_make_plots(lines_makefile)\n self.createMakefile(lines_makefile)\n\n logging.info(\"Done.\")\n\n return self.num_jobs","def __init__(self, node, type, ds, mr, rrdtool_step):\n\n self.node = node\n if type == \"host\":\n self.data = ds.get_host_data()[node]\n self.topdir, self.file_prefix, outfiles = ds.get_host_outfiles()\n self.outfiles = outfiles[self.node]\n elif type == \"vm\":\n self.data = ds.get_vm_data()[node]\n self.topdir, self.file_prefix, outfiles = ds.get_vm_outfiles()\n self.outfiles = outfiles[self.node]\n else:\n raise Exception(\"Invalide type value: %s\" % type)\n self.start, self.end, self.datasource_step = ds.get_time_info()\n self.rrdtool_step = rrdtool_step\n self.conrate = self.rrdtool_step / self.datasource_step\n\n if len(self.data)/self.conrate < 1:\n logging.warn(\"%s doesn't have enough data. Skipped it.\" % node)\n self.outfiles[\"rrdfile\"] = self.SKIPPED\n self.rrdfile = None\n return\n\n self.outfiles[\"rrdfile\"] = \"%s/%s_%s.rrd\" % (self.topdir,\n self.file_prefix, node)\n self.rrdfile = self.outfiles[\"rrdfile\"]\n\n # Create db\n logging.info(\"Creating rrdtool database for %s\" % node)\n dslist = [\"DS:%s:%s:%d:0:U\" % (mobj.name, mobj.type,\n 2*self.datasource_step)\n for mname, mobj in mr.items()]\n self.rrdtool_cmd(\"create\", self.outfiles[\"rrdfile\"],\n dslist,\n \"--start\", str(self.start - 1),\n \"--step\", str(self.datasource_step),\n \"RRA:AVERAGE:0.5:%d:%d\" %\n (self.conrate, len(self.data)/self.conrate),\n log_level=logging.DEBUG)\n\n # Import data\n logging.info(\"Importing data to the database\")\n fields = [mname for mname, mobj in mr.items()]\n for d in self.data:\n template = \":\".join(fields)\n # If the data doesn't have a field for this metric or if it has\n # but the value of the field is \"NA\", change it to \"U\" (this means\n # unknown value in RRDTool).\n values = \":\".join([d.get(k, \"U\").replace(\"NA\", \"U\")\n for k in fields])\n self.rrdtool_cmd(\"update\", self.outfiles[\"rrdfile\"],\n \"--template\", template,\n \"%s:%s\" % (d[\"time_h\"], values))","def set_up(self, in_times):\n sum_xr = xr.DataArray(np.ma.zeros(self.grid_shape, dtype=np.float64), dims=self.dims)\n sumsq_xr = xr.DataArray(np.ma.zeros(self.grid_shape, dtype=np.float64), dims=self.dims)\n ds_dict = {\"variable\": self.variable,\n \"num_times\": 0,\n \"times\": xr.DataArray(in_times, dims=[\"time_counter\"]),\n \"sum\": sum_xr,\n \"sumsq\": sumsq_xr}\n if self.num_cross_covs != 0:\n self.covs_shape = ([len(self.dircn_dims), self.num_cross_covs] + list(self.grid_shape))\n dircn_xr = xr.DataArray(self.dircn_dims, dims=[\"dircn\"])\n sumsq_xr = xr.DataArray(np.ma.zeros(self.covs_shape, dtype=np.float64),\n dims=self.covs_dims)\n ds_dict.update({\"directions\": dircn_xr,\n self.nam_sumsq_var: sumsq_xr})\n self.covs_ds = xr.Dataset(ds_dict).chunk(self.CHUNK_STATS_IO)","def get_monitoring_data_specs(self):\n space = [self.get_input_space()]\n space += self.get_output_space()\n space = CompositeSpace(space)\n source = (self.get_input_source(), self.get_target_source(), 'second_targets')\n return (space, source)","def __init__(self):\n self.TECRDB_compounds_data_dict = {}\n self.TECRDB_compounds_pH7_species_id_dict = {}\n self.TECRDB_compounds_least_H_sid_dict = {}\n self.get_TECRDB_compounds_data()","def __init__(self,site,startDate,endDate,path='verif_data/'):\n self.site = site.upper()\n self.startDateTime = datetime.strptime(startDate,'%Y%m%d')\n self.endDateTime = datetime.strptime(endDate,'%Y%m%d')\n years = range(self.startDateTime.year,self.endDateTime.year + 1)\n data = []\n for year in years:\n self.filename=path + self.site + '_asos_' + str(year) + '.txt'\n datafile = open(self.filename)\n for line in datafile:\n if line[0] != '#':\n if 'station' in line:\n self.header = [x.strip() for x in line[:-1].split(',')]\n else:\n dataline = line[:-2].split(',')\n for i,val in enumerate(dataline[:-1]):\n if val=='M':\n dataline[i] = -999\n dataline[1] = dataline[1].replace(' ','_')\n dataline[1] = dataline[1].replace('-','')\n currDateTime = datetime.strptime(dataline[1][:14],'%Y%m%d_%H:%M')\n if currDateTime >= self.startDateTime and currDateTime <= self.endDateTime:\n data.append(tuple(dataline))\n datafile.close()\n self.datatype = []\n for item in self.header:\n if item == 'station':\n self.datatype.append((item,'S3'))\n elif 'valid' in item:\n self.datatype.append(('time','S14'))\n elif 'skyc' in item:\n self.datatype.append((item,'S3'))\n elif item=='metar':\n self.datatype.append((item,'S99'))\n else:\n self.datatype.append((item,float))\n self.data = np.array(data,dtype=self.datatype)","def populate_data(self):\r\n # Importing StationData with the standard imports causes a redundancy\r\n # problem, so it is imported here only when it is needed.\r\n from stationData import StationData\r\n # Find data requirements from all plumes.\r\n requirements = describe.PLUMES\r\n # Loop over plumes and define parameters to be used for pulling data.\r\n grib_file = pygrib.open(self.grib_file_path)\r\n for req in requirements:\r\n (plume,data_types,grid_level_type,grid_level,unused) = req\r\n selected = grib_file.select(shortName=data_types,\r\n typeOfLevel=grid_level_type,\r\n level=grid_level)\r\n for i, message in enumerate(selected):\r\n if i % 20 == 0:\r\n print '%s %s/%s Grib messages processed for %s' %\\\r\n (PRETEXT, i + 1, len(selected), req[0])\r\n for sdo in StationData.instances:\r\n if sdo.grib_i is None:\r\n StationData.populate_grid_information(message,\r\n self.config)\r\n sdo.add_data(plume,self.member_name,message)\r\n grib_file.close()\r\n return","def __init__(self, data):\n self.bees = [Bee(b) for b in data[\"bees\"]]\n self.flowers = [Flower(f) for f in data[\"flowers\"]]\n self.hives = [Hive(h) for h in data[\"hives\"]]","def get_env_data(inp_path):\n rain1_str = []\n rain2_str = []\n tide_str = []\n with open(inp_path, 'r') as tmp_file:\n lines = tmp_file.readlines()\n for i, l in enumerate(lines):\n if l.startswith(\"[TIMESERIES]\"): # find time series section\n start = i + 3\n for i, l in enumerate(lines[start:]):\n if l.startswith('Rain1'):\n rain1_str.append(l)\n if l.startswith('Rain2'):\n rain2_str.append(l)\n if l.startswith('Tide1'):\n tide_str.append(l)\n\n rain1_data = []\n rain1_time = []\n rain2_data = []\n rain2_time = []\n tide_data = []\n tide_time = []\n for i in rain1_str:\n rain1_data.append(i.split(' ')[3].rstrip())\n rain1_time.append(i.split(' ')[1] + \" \" + i.split(' ')[2])\n\n for i in rain2_str:\n rain2_data.append(i.split(' ')[3].rstrip())\n rain2_time.append(i.split(' ')[1] + \" \" + i.split(' ')[2])\n\n for i in tide_str:\n tide_data.append(i.split(' ')[3].rstrip())\n tide_time.append(i.split(' ')[1] + \" \" + i.split(' ')[2])\n\n rain1_df = pd.DataFrame([rain1_time, rain1_data]).transpose()\n rain1_df.columns = ['datetime1', 'rain1']\n rain1_df['datetime1'] = pd.to_datetime(rain1_df['datetime1'], infer_datetime_format=True)\n rain1_df.set_index(pd.DatetimeIndex(rain1_df['datetime1']), inplace=True)\n rain1_df['rain1'] = rain1_df['rain1'].astype('float')\n rain1_df = rain1_df.resample('H').sum()\n\n rain2_df = pd.DataFrame([rain2_time, rain2_data]).transpose()\n rain2_df.columns = ['datetime2', 'rain2']\n rain2_df['datetime2'] = pd.to_datetime(rain2_df['datetime2'], infer_datetime_format=True)\n rain2_df.set_index(pd.DatetimeIndex(rain2_df['datetime2']), inplace=True)\n rain2_df['rain2'] = rain2_df['rain2'].astype('float')\n rain2_df = rain2_df.resample('H').sum()\n\n tide_df = pd.DataFrame([tide_time, tide_data], dtype='float64').transpose()\n tide_df.columns = ['datetime', 'tide']\n tide_df['datetime'] = pd.to_datetime(tide_df['datetime'], infer_datetime_format=True)\n tide_df.set_index(pd.DatetimeIndex(tide_df['datetime']), inplace=True)\n tide_df['tide'] = tide_df['tide'].astype('float')\n\n df = pd.concat([rain1_df['rain1'], rain2_df['rain2'], tide_df['tide']], axis=1)\n df[['rain1', 'rain2']].fillna(0, inplace=True)\n df.reset_index(inplace=True)\n\n return df","def form_data(stocks, init_param):\r\n \r\n rs = stocks[1].rsi\r\n ts = stocks[1].tsi\r\n a = 1\r\n \r\n \r\n for date in init_param.train_dates:\r\n try:\r\n training_data\r\n except NameError:\r\n training_data = LearningData()\r\n training_data.construct(stocks, date, init_param.future_day, init_param.features)\r\n else:\r\n training_data.append(stocks, date, init_param.future_day, init_param.features)\r\n \r\n for date in init_param.test_dates:\r\n try:\r\n test_data\r\n except NameError:\r\n test_data = LearningData()\r\n test_data.construct(stocks, date, init_param.future_day, init_param.features)\r\n else:\r\n test_data.append(stocks, date, init_param.future_day, init_param.features)\r\n \r\n #reference_date = dateutl.days_since_1900('1991-01-01')\r\n #test_data.construct(stocks,[reference_date, day_history, init_param.future_day])\r\n \r\n return training_data, test_data","def make_data(self): \n s = numpy.arange(0.0, 10.0, 0.01)\n s = numpy.reshape(s, (10,10,10))\n s = numpy.transpose(s)\n\n v = numpy.zeros(3000, 'd')\n v[1::3] = 1.0\n v = numpy.reshape(v, (10,10,10,3))\n return s, v","def create(self):\n\n for sample_name, sample_info in self.samples.items():\n if not sample_info[\"use_it\"] or sample_info[\"sample_category\"] in [ \"additional_signal_overlap\", \"background_data_estimate\" ]:\n continue\n process_name = sample_info[\"process_name_specific\"]\n for charge_selection in self.charge_selections:\n key_dir = getKey(process_name, charge_selection)\n for dir_type in [ DKEY_CFGS, DKEY_HIST, DKEY_LOGS, DKEY_RLES ]:\n initDict(self.dirs, [ key_dir, dir_type ])\n if dir_type in [ DKEY_CFGS, DKEY_LOGS ]:\n self.dirs[key_dir][dir_type] = os.path.join(self.configDir, dir_type, self.channel,\n \"_\".join([ charge_selection ]), process_name)\n else:\n self.dirs[key_dir][dir_type] = os.path.join(self.outputDir, dir_type, self.channel,\n \"_\".join([ charge_selection ]), process_name)\n for dir_type in [ DKEY_CFGS, DKEY_SCRIPTS, DKEY_HIST, DKEY_LOGS, DKEY_DCRD, DKEY_PLOT, DKEY_HADD_RT ]:\n initDict(self.dirs, [ dir_type ])\n if dir_type in [ DKEY_CFGS, DKEY_SCRIPTS, DKEY_LOGS, DKEY_DCRD, DKEY_PLOT, DKEY_HADD_RT ]:\n self.dirs[dir_type] = os.path.join(self.configDir, dir_type, self.channel)\n else:\n self.dirs[dir_type] = os.path.join(self.outputDir, dir_type, self.channel)\n ##print \"self.dirs = \", self.dirs\n\n for key in self.dirs.keys():\n if type(self.dirs[key]) == dict:\n for dir_type in self.dirs[key].keys():\n create_if_not_exists(self.dirs[key][dir_type])\n else:\n create_if_not_exists(self.dirs[key])\n\n inputFileLists = {}\n for sample_name, sample_info in self.samples.items():\n if not sample_info[\"use_it\"] or sample_info[\"sample_category\"] in [ \"additional_signal_overlap\", \"background_data_estimate\" ]:\n continue\n logging.info(\"Checking input files for sample %s\" % sample_info[\"process_name_specific\"])\n inputFileLists[sample_name] = generateInputFileList(sample_name, sample_info, self.max_files_per_job, self.debug)\n \n self.inputFileIds = {}\n for sample_name, sample_info in self.samples.items():\n if not sample_info[\"use_it\"] or sample_info[\"sample_category\"] in [ \"additional_signal_overlap\", \"background_data_estimate\" ]:\n continue\n\n process_name = sample_info[\"process_name_specific\"]\n\n logging.info(\"Creating configuration files to run '%s' for sample %s\" % (self.executable_analyze, process_name)) \n\n is_mc = (sample_info[\"type\"] == \"mc\")\n lumi_scale = 1. if not (self.use_lumi and is_mc) else sample_info[\"xsection\"] * self.lumi / sample_info[\"nof_events\"]\n apply_genWeight = sample_info[\"apply_genWeight\"] if (is_mc and \"apply_genWeight\" in sample_info.keys()) else False\n sample_category = sample_info[\"sample_category\"]\n triggers = sample_info[\"triggers\"]\n apply_trigger_bits = (is_mc and (self.era == \"2015\" or (self.era == \"2016\" and sample_info[\"reHLT\"]))) or not is_mc\n\n for charge_selection in self.charge_selections:\n for central_or_shift in self.central_or_shifts:\n\n inputFileList = inputFileLists[sample_name]\n for jobId in inputFileList.keys():\n if central_or_shift != \"central\" and not is_mc:\n continue\n if central_or_shift.startswith(\"CMS_ttHl_thu_shape_ttH\") and sample_category != \"signal\":\n continue\n if central_or_shift.startswith(\"CMS_ttHl_thu_shape_ttW\") and sample_category != \"TTW\":\n continue\n if central_or_shift.startswith(\"CMS_ttHl_thu_shape_ttZ\") and sample_category != \"TTZ\":\n continue\n\n # build config files for executing analysis code\n key_dir = getKey(process_name, charge_selection)\n key_analyze_job = getKey(process_name, charge_selection, central_or_shift, jobId)\n\n ntupleFiles = inputFileList[jobId]\n if len(ntupleFiles) == 0:\n print \"Warning: ntupleFiles['%s'] = %s --> skipping job !!\" % (key_job, ntupleFiles)\n continue\n self.jobOptions_analyze[key_analyze_job] = {\n 'ntupleFiles' : ntupleFiles,\n 'cfgFile_modified' : os.path.join(self.dirs[key_dir][DKEY_CFGS], \"analyze_%s_%s_%s_%s_%i_cfg.py\" % \\\n (self.channel, process_name, charge_selection, central_or_shift, jobId)),\n 'histogramFile' : os.path.join(self.dirs[key_dir][DKEY_HIST], \"%s_%s_%s_%i.root\" % \\\n (process_name, charge_selection, central_or_shift, jobId)),\n 'logFile' : os.path.join(self.dirs[key_dir][DKEY_LOGS], \"analyze_%s_%s_%s_%s_%i.log\" % \\\n (self.channel, process_name, charge_selection, central_or_shift, jobId)),\n 'sample_category' : sample_category,\n 'triggers' : sample_info[\"triggers\"],\n 'charge_selection' : charge_selection,\n 'jet_minPt' : self.jet_minPt,\n 'jet_maxPt' : self.jet_maxPt,\n 'jet_minAbsEta' : self.jet_minAbsEta,\n 'jet_maxAbsEta' : self.jet_maxAbsEta,\n 'hadTau_selection_denominator' : self.hadTau_selection_denominator,\n 'hadTau_selections_numerator' : self.hadTau_selections_numerator,\n 'absEtaBins' : self.absEtaBins,\n ##'use_HIP_mitigation_mediumMuonId' : sample_info[\"use_HIP_mitigation_mediumMuonId\"],\n 'use_HIP_mitigation_mediumMuonId' : True,\n 'is_mc' : is_mc,\n 'central_or_shift' : central_or_shift,\n 'lumi_scale' : 1. if not (self.use_lumi and is_mc) else sample_info[\"xsection\"] * self.lumi / sample_info[\"nof_events\"],\n 'apply_genWeight' : sample_info[\"genWeight\"] if (is_mc and \"genWeight\" in sample_info.keys()) else False,\n 'apply_trigger_bits' : (is_mc and (self.era == \"2015\" or (self.era == \"2016\" and sample_info[\"reHLT\"]))) or not is_mc,\n }\n self.createCfg_analyze(self.jobOptions_analyze[key_analyze_job])\n\n # initialize input and output file names for hadd_stage1\n key_hadd_stage1 = getKey(process_name, charge_selection)\n if not key_hadd_stage1 in self.inputFiles_hadd_stage1:\n self.inputFiles_hadd_stage1[key_hadd_stage1] = []\n self.inputFiles_hadd_stage1[key_hadd_stage1].append(self.jobOptions_analyze[key_analyze_job]['histogramFile'])\n self.outputFile_hadd_stage1[key_hadd_stage1] = os.path.join(self.dirs[DKEY_HIST], \"histograms_harvested_stage1_%s_%s_%s.root\" % \\\n (self.channel, process_name, charge_selection))\n\n # initialize input and output file names for hadd_stage2\n key_hadd_stage1 = getKey(process_name, charge_selection)\n key_hadd_stage2 = getKey(charge_selection)\n if not key_hadd_stage2 in self.inputFiles_hadd_stage2:\n self.inputFiles_hadd_stage2[key_hadd_stage2] = []\n self.inputFiles_hadd_stage2[key_hadd_stage2].append(self.outputFile_hadd_stage1[key_hadd_stage1])\n self.outputFile_hadd_stage2[key_hadd_stage2] = os.path.join(self.dirs[DKEY_HIST], \"histograms_harvested_stage2_%s_%s.root\" % \\\n (self.channel, charge_selection))\n\n logging.info(\"Creating configuration files for executing 'comp_jetToTauFakeRate'\")\n for charge_selection in self.charge_selections:\n key_comp_jetToTauFakeRate_job = getKey(charge_selection)\n key_hadd_stage2 = getKey(charge_selection)\n self.jobOptions_comp_jetToTauFakeRate[key_comp_jetToTauFakeRate_job] = {\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2],\n 'cfgFile_modified' : os.path.join(\n self.dirs[DKEY_CFGS], \"comp_jetToTauFakeRate_%s_cfg.py\" % charge_selection),\n 'outputFile' : os.path.join(\n self.dirs[DKEY_HIST], \"comp_jetToTauFakeRate_%s.root\" % charge_selection),\n 'logFile' : os.path.join(\n self.dirs[DKEY_LOGS], \"comp_jetToTauFakeRate_%s.log\" % charge_selection),\n 'looseRegion' : \"jetToTauFakeRate_%s/denominator/\" % charge_selection,\n 'tightRegion' : \"jetToTauFakeRate_%s/numerator/\" % charge_selection,\n 'absEtaBins' : self.absEtaBins,\n 'ptBins' : self.ptBins\n }\n self.createCfg_comp_jetToTauFakeRate(self.jobOptions_comp_jetToTauFakeRate[key_comp_jetToTauFakeRate_job])\n self.targets.append(self.jobOptions_comp_jetToTauFakeRate[key_comp_jetToTauFakeRate_job]['outputFile'])\n\n logging.info(\"Creating configuration files to run 'makePlots'\")\n for charge_selection in self.charge_selections:\n key_makePlots_job = getKey(charge_selection)\n key_hadd_stage2 = getKey(charge_selection)\n self.jobOptions_make_plots[key_makePlots_job] = {\n 'executable' : self.executable_make_plots,\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2],\n 'cfgFile_modified' : os.path.join(\n self.dirs[DKEY_CFGS], \"makePlots_%s_cfg.py\" % self.channel),\n 'outputFile' : os.path.join(\n self.dirs[DKEY_PLOT], \"makePlots_%s.png\" % self.channel),\n 'histogramDir' : \"jetToTauFakeRate_%s\" % charge_selection,\n 'label' : None,\n 'make_plots_backgrounds' : [ \"TT\", \"TTW\", \"TTZ\", \"EWK\", \"Rares\" ],\n }\n self.createCfg_makePlots(self.jobOptions_make_plots[key_makePlots_job])\n self.cfgFile_make_plots = self.cfgFile_make_plots_denominator\n for absEtaBin in [ \"absEtaLt1_5\", \"absEta1_5to9_9\" ]:\n key_makePlots_job = getKey(charge_selection, absEtaBin, \"denominator\")\n key_hadd_stage2 = getKey(charge_selection)\n self.jobOptions_make_plots[key_makePlots_job] = {\n 'executable' : self.executable_make_plots,\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2],\n 'cfgFile_modified' : os.path.join(\n self.dirs[DKEY_CFGS], \"makePlots_%s_%s_denominator_%s_cfg.py\" % (self.channel, charge_selection, absEtaBin)),\n 'outputFile' : os.path.join(\n self.dirs[DKEY_PLOT], \"makePlots_%s_%s_denominator_%s.png\" % (self.channel, charge_selection, absEtaBin)),\n 'histogramDir' : \"jetToTauFakeRate_%s/denominator/%s\" % (charge_selection, absEtaBin),\n 'label' : None,\n 'make_plots_backgrounds' : [ \"TT\", \"TTW\", \"TTZ\", \"EWK\", \"Rares\" ],\n }\n self.createCfg_makePlots(self.jobOptions_make_plots[key_makePlots_job])\n for hadTau_selection_numerator in self.hadTau_selections_numerator:\n key_makePlots_job = getKey(charge_selection, absEtaBin, \"numerator\", hadTau_selection_numerator)\n key_hadd_stage2 = getKey(charge_selection)\n self.jobOptions_make_plots[key_makePlots_job] = {\n 'executable' : self.executable_make_plots,\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2],\n 'cfgFile_modified' : os.path.join(\n self.dirs[DKEY_CFGS], \"makePlots_%s_%s_numerator_%s_%s_cfg.py\" % (self.channel, charge_selection, hadTau_selection_numerator, absEtaBin)),\n 'outputFile' : os.path.join(\n self.dirs[DKEY_PLOT], \"makePlots_%s_%s_numerator_%s_%s.png\" % (self.channel, charge_selection, hadTau_selection_numerator, absEtaBin)),\n 'histogramDir' : \"jetToTauFakeRate_%s/numerator/%s/%s\" % (charge_selection, hadTau_selection_numerator, absEtaBin),\n 'label' : None,\n 'make_plots_backgrounds' : [ \"TT\", \"TTW\", \"TTZ\", \"EWK\", \"Rares\" ],\n }\n self.createCfg_makePlots(self.jobOptions_make_plots[key_makePlots_job])\n\n if self.is_sbatch:\n logging.info(\"Creating script for submitting '%s' jobs to batch system\" % self.executable_analyze)\n self.sbatchFile_analyze = os.path.join(self.dirs[DKEY_SCRIPTS], \"sbatch_analyze_%s.py\" % self.channel)\n self.createScript_sbatch_analyze(self.executable_analyze, self.sbatchFile_analyze, self.jobOptions_analyze)\n logging.info(\"Creating script for submitting '%s' jobs to batch system\" % self.executable_comp_jetToTauFakeRate)\n self.sbatchFile_comp_jetToTauFakeRate = os.path.join(self.dirs[DKEY_SCRIPTS], \"sbatch_comp_jetToTauFakeRate.py\")\n self.createScript_sbatch(self.executable_comp_jetToTauFakeRate, self.sbatchFile_comp_jetToTauFakeRate, self.jobOptions_comp_jetToTauFakeRate)\n\n lines_makefile = []\n self.addToMakefile_analyze(lines_makefile)\n self.addToMakefile_hadd_stage1(lines_makefile)\n self.addToMakefile_hadd_stage2(lines_makefile)\n self.addToMakefile_comp_jetToTauFakeRate(lines_makefile)\n self.addToMakefile_make_plots(lines_makefile)\n self.createMakefile(lines_makefile)\n \n logging.info(\"Done\")","def __init__(self):\n self.data_set = []\n self.finalized_data = LogData()","def _setData(self):\n\n if not self.stationId:\n return\n \"\"\" \n # get the ressource url and adjust lat and lon from data portal\n query = sparqls.stationResource(self.stationId)\n key, val = RunSparql(query, 'array').run()\n if val: \n self.url = val[0][0]\n self.lat = float(val[0][2])\n self.lon = float(val[0][3])\n \"\"\"\n\n # it is possible, that a station id has multiple URI\n # ask for all URI\n query = sparqls.stationData(self.uri, 'all')\n data = RunSparql(query, 'pandas').run()\n\n if not data.empty:\n self._data = data\n else:\n self._data = 'no data available'\n\n # check if data is available and extract the 'unique' data products\n if isinstance(self._data, pd.DataFrame):\n p = self._data['specLabel'].unique()\n self._products = pd.DataFrame(p)\n\n # replace samplingheight=None with empty string\n self._data.samplingheight.replace(to_replace=[None], value=\"\", inplace=True)\n else:\n self._products = 'no data available'","def create_dicts():\n load_data_for_dict('data/atis/train/seq.in', 'data/atis/voc/vocabulary.json')\n load_data_for_dict('data/atis/valid/seq.in', 'data/atis/voc/vocabulary.json')\n load_data_for_dict('data/atis/test/seq.in', 'data/atis/voc/vocabulary.json') \n load_data_for_dict('data/atis/train/seq.out', 'data/atis/voc/slot_vocabulary.json')","def input_data_initialised(n_ops, power_system):\r\n time_zeros = np.zeros((n_ops, 1))\r\n power_zeros = np.zeros((n_ops, power_system['n_buses']))\r\n states_initial = np.zeros((n_ops, power_system['n_states']))\r\n\r\n states_results_zeros = np.zeros((n_ops, power_system['n_states']))\r\n states_t_results_zeros = np.zeros((n_ops, power_system['n_states']))\r\n data_type_zeros = np.zeros((n_ops, power_system['n_states']))\r\n\r\n data_initialised = {'time': time_zeros,\r\n 'power': power_zeros,\r\n 'states_initial': states_initial,\r\n 'states_results': states_results_zeros,\r\n 'states_t_results': states_t_results_zeros,\r\n 'data_type': data_type_zeros}\r\n\r\n return data_initialised","def __init__(self, sets: List[ColdStartUserSet]):\n self.sets = sets","def get_data(self, ninits=20, nrepeats=10, initial_nodes=None):\n\n print(\"Generating training set...\")\n\n self.data['dpc_times'] = np.linspace(0, self.sim_params['end_time'], 51)\n self.data['dpc_sus'] = np.empty((3, 2, len(self.data['dpc_times']), 0))\n self.data['dpc_inf'] = np.empty((3, 2, len(self.data['dpc_times']), 0))\n self.data['init_state'] = np.empty((0, 18))\n\n input_events = []\n\n for _ in range(ninits):\n if initial_nodes is None:\n nlow = np.random.randint(0, 3)\n nhigh = 2 - nlow\n nodes_init = randomise_infection(self.nodes, nhigh=nhigh, nlow=nlow)\n else:\n nodes_init = copy.deepcopy(initial_nodes)\n simulator = simulation.Simulator(\n nodes_init, self.risk_coupling, self.dist_coupling, self.sim_params)\n all_runs = simulator.run_simulation(nruns=nrepeats, verbose=False)\n if nrepeats == 1:\n all_runs = [all_runs]\n self._store_dpc_data(all_runs)\n\n input_events += self._extract_event_data(all_runs)\n\n self.data['input_events'] = input_events","def collect_data():\n\n \"Aqui va el codigo de alberto para recoger los datos que puede venir en forma de diccionario\"\n #TODO: Función para recoger los datos de los bms y meterlos en diccionarios (Alberto jr.)\n\n bms1 = dict()\n bms2 = dict()\n bms3 = dict()\n general = dict()\n\n\n # Ejemplos de datos para meter en los diccionarios\n\n temperature = 35.5\n voltage1 = 15.2\n voltage2 = 14.8\n date = time.strftime(\"%Y-%m-%d\") # Current date\n t = time.strftime(\"%H:%M:%S\") # Current time\n\n return bms1, bms2, bms3, general","def __init__(self, *objects):\n self.resources = []\n self.contexts = Contexts()\n self.summary = Summary()\n self.results = Results()\n self.perfdata = []\n self.name = ''\n self.add(*objects)","def __createSPWSeparationCommands(self):\n\n # Get a unique list of selected spws \n self.__selectMS()\n spwList = self.__getSPWUniqueList()\n numSubMS = self._arg['numsubms']\n if isinstance(numSubMS,str) and numSubMS == 'auto':\n # Create the best load balance based on the number of nodes\n numSubMS = self.getNumberOfServers()\n if numSubMS == None:\n numSubMS = 8\n numSubMS = min(len(spwList),numSubMS)\n\n # Get a dictionary of the spws parted for each subMS\n spwList = map(str,spwList)\n partitionedSPWs1 = self.__partition1(spwList,numSubMS)\n\n # Add the channel selections back to the spw expressions\n newspwsel = self.__createSPWExpression(partitionedSPWs1)\n \n # Validate the chanbin parameter\n validbin = False\n parname = self.getChanAvgParamName()\n if self.validateChanBin():\n if isinstance(self._arg[parname],list):\n freqbinlist = self.__partition1(self._arg[parname],numSubMS)\n validbin = True\n \n # Calculate the ddistart for each engine. This will be used\n # to calculate the DD IDs of the output main table of the subMSs\n ddistartlist = self.__calculateDDIstart({}, partitionedSPWs1)\n if (len(ddistartlist) != len(partitionedSPWs1)):\n casalog.post('Error calculating the ddistart indices','SEVERE')\n raise\n \n for output in xrange(numSubMS):\n mmsCmd = copy.copy(self._arg)\n mmsCmd['createmms'] = False\n if self.__selectionScanList is not None:\n mmsCmd['scan'] = ParallelTaskHelper.\\\n listToCasaString(self.__selectionScanList) \n mmsCmd['spw'] = newspwsel[output]\n if validbin:\n mmsCmd[parname] = freqbinlist[output]\n \n self.__ddistart = ddistartlist[output]\n mmsCmd['ddistart'] = self.__ddistart\n mmsCmd['outputvis'] = self.dataDir+'/%s.%04d.ms' \\\n % (self.outputBase, output)\n\n # Dictionary for the spw/ddi consolidation later\n self.__ddidict[self.__ddistart] = self.dataDir+'/%s.%04d.ms' \\\n % (self.outputBase, output)\n\n if not self._mpi_cluster:\n self._executionList.append(JobData(self._taskName, mmsCmd))\n else:\n self._executionList.append([self._taskName + '()',mmsCmd])","def init (self, disksSet):\n self._disksSet = disksSet\n self._metaFilesPattern = '*.' + self._cfg.metaFilesExtension\n self._metaPredictionFilesPattern = self._metaFilesPattern + '.' + self._cfg.metaPredictionFilesExtension\n self._badFilesPattern = self._metaFilesPattern + '.' + self._cfg.badFilesExtension\n self._dbFileFullNamePath = os.path.join(self._cfg.dbFilesDir, DB_FILE_NAME + '_' + self._instanceName + \".\" + DB_FILES_EXTENSTION)\n self._dbFailedToRemoveFileFullNamePath = os.path.join(self._cfg.dbFilesDir, DB_FAILED_FILE_NAME + '_' + self._instanceName + \".\" + DB_FILES_EXTENSTION)\n self._countersFileFullNamePath = os.path.join(self._cfg.dbFilesDir, COUNTERS_FILE_NAME + '_' + self._instanceName + \".\" + DB_FILES_EXTENSTION)\n self._isPrediction = self._cfg.isPrediction\n\n\n # Sanity check\n errorSites = []\n raiseException = False\n for value in self.cgidToNameMap.values():\n if ((NUM_TOTAL_USED_BYTES + value) not in self.bytesUsedCounters) \\\n or ((NUM_TOTAL_USED_BYTES + PREDICTION_TOKEN + value) not in self.bytesUsedCounters) \\\n or ((NUM_TITLES + value) not in self.numTitlesCounters) \\\n or ((NUM_TITLES + PREDICTION_TOKEN +value) not in self.numTitlesCounters):\n raiseException = True\n errorSites.append(value)\n\n if raiseException:\n raise Exception(\"initError\",\"error init counters for sites %s\", errorSites)","def prepare_data(self):\n import subprocess\n # Download coco data set into dir specified by config then /data/coco\n subprocess.call([f\"{get_original_cwd()}/bin/fetch_dataset.sh\", f\"{self.dir}/data/coco\", f\"{get_original_cwd()}\"])\n # subprocess.call([f\"bin/fetch_dataset.sh\", f\"{self.dir}/data/coco\"])\n task = \"instances\" if self.instance else \"person_keypoints\"\n register_coco_instances(\"train\", {}, f\"{self.dir}/data/coco/{task}_train2014.json\",\n f\"{self.dir}/data/coco/train2014\")\n register_coco_instances(\"val\", {}, f\"{self.dir}/data/coco/{task}_minival2014.json\",\n f\"{self.dir}/data/coco/val2014\")\n register_coco_instances(\"test\", {}, f\"{self.dir}/data/coco/{task}_valminusminival2014.json\",\n f\"{self.dir}/data/coco/val2014\")","def _create_init(self):\n\n assert self._topology is not None, \\\n \"Topology must be given for a creation constructor\"\n\n # initialize the runs group\n runs_grp = self._h5.create_group(RUNS)\n\n # initialize the settings group\n settings_grp = self._h5.create_group(SETTINGS)\n\n # create the topology dataset\n self._h5.create_dataset(TOPOLOGY, data=self._topology)\n\n # sparse fields\n if self._sparse_fields is not None:\n\n # make a dataset for the sparse fields allowed. this requires\n # a 'special' datatype for variable length strings. This is\n # supported by HDF5 but not numpy.\n vlen_str_dt = h5py.special_dtype(vlen=str)\n\n # create the dataset with empty values for the length of the\n # sparse fields given\n sparse_fields_ds = settings_grp.create_dataset(SPARSE_FIELDS,\n (len(self._sparse_fields),),\n dtype=vlen_str_dt,\n maxshape=(None,))\n\n # set the flags\n for i, sparse_field in enumerate(self._sparse_fields):\n sparse_fields_ds[i] = sparse_field\n\n\n # field feature shapes and dtypes\n\n # initialize to the defaults, this gives values to\n # self._n_coords, and self.field_feature_dtypes, and\n # self.field_feature_shapes\n self._set_default_init_field_attributes(n_dims=self._n_dims)\n\n # save the number of dimensions and number of atoms in settings\n settings_grp.create_dataset(N_DIMS_STR, data=np.array(self._n_dims))\n settings_grp.create_dataset(N_ATOMS, data=np.array(self._n_coords))\n\n # the main rep atom idxs\n settings_grp.create_dataset(MAIN_REP_IDXS, data=self._main_rep_idxs, dtype=int)\n\n # alt_reps settings\n alt_reps_idxs_grp = settings_grp.create_group(ALT_REPS_IDXS)\n for alt_rep_name, idxs in self._alt_reps.items():\n alt_reps_idxs_grp.create_dataset(alt_rep_name, data=idxs, dtype=int)\n\n # if both feature shapes and dtypes were specified overwrite\n # (or initialize if not set by defaults) the defaults\n if (self._field_feature_shapes_kwarg is not None) and\\\n (self._field_feature_dtypes_kwarg is not None):\n\n self._field_feature_shapes.update(self._field_feature_shapes_kwarg)\n self._field_feature_dtypes.update(self._field_feature_dtypes_kwarg)\n\n # any sparse field with unspecified shape and dtype must be\n # set to None so that it will be set at runtime\n for sparse_field in self.sparse_fields:\n if (not sparse_field in self._field_feature_shapes) or \\\n (not sparse_field in self._field_feature_dtypes):\n self._field_feature_shapes[sparse_field] = None\n self._field_feature_dtypes[sparse_field] = None\n\n\n # save the field feature shapes and dtypes in the settings group\n shapes_grp = settings_grp.create_group(FIELD_FEATURE_SHAPES_STR)\n for field_path, field_shape in self._field_feature_shapes.items():\n if field_shape is None:\n # set it as a dimensionless array of NaN\n field_shape = np.array(np.nan)\n\n shapes_grp.create_dataset(field_path, data=field_shape)\n\n dtypes_grp = settings_grp.create_group(FIELD_FEATURE_DTYPES_STR)\n for field_path, field_dtype in self._field_feature_dtypes.items():\n if field_dtype is None:\n dt_str = NONE_STR\n else:\n # make a json string of the datatype that can be read\n # in again, we call np.dtype again because there is no\n # np.float.descr attribute\n dt_str = json.dumps(np.dtype(field_dtype).descr)\n\n dtypes_grp.create_dataset(field_path, data=dt_str)\n\n # initialize the units group\n unit_grp = self._h5.create_group(UNITS)\n\n # if units were not given set them all to None\n if self._units is None:\n self._units = {}\n for field_path in self._field_feature_shapes.keys():\n self._units[field_path] = None\n\n # set the units\n for field_path, unit_value in self._units.items():\n\n # ignore the field if not given\n if unit_value is None:\n continue\n\n unit_path = '{}/{}'.format(UNITS, field_path)\n\n unit_grp.create_dataset(unit_path, data=unit_value)\n\n\n # create the group for the run data records\n records_grp = settings_grp.create_group(RECORD_FIELDS)\n\n # create a dataset for the continuation run tuples\n # (continuation_run, base_run), where the first element\n # of the new run that is continuing the run in the second\n # position\n self._init_continuations()","def installStorage():\n for name,data in Online.SetupParams.detectors.items():\n s = data['System']\n c = Online.PVSSSystems.controlsMgr(s)\n inst = Installer(c)\n nf = data['SubFarms']\n streams = data['StorageStreams']\n inst.createStorage(name,streams,nf)\n return c","def get_data(self):\n\n self.read_expression()\n self.read_tfs()\n self.read_metadata()\n self.set_gold_standard_and_priors()","def __init__(self, out_dir = 'output' ):\n\n self.data = {} # will contain the data for each different dataset \n self.datasets = '' # will contain the input datasets (original dictionary)\n self.datasets_keys = '' # will contain the input datasets names only (i.e. keys of the datasets dictionary)\n #self.datasets_all = ['era5_2_2'] # all possibly available datasets \n\n self.unique_dates = {} \n self.attributes = {} # will keep the original attributes from the CDM tables, read from the netCDF files \n self.id_string_length = 14 # fixed length for record_id and observation_id values \n self.out_dir = out_dir \n self.variable_types = {}\n self.observation_ids_merged = { 'igra2':b'3' , \n 'ncar':b'4', \n 'bufr':b'5', \n 'era5_1':b'1' , \n 'era5_2':b'2', \n 'era5_1759' :b'6' , \n 'era5_1761':b'7' , \n 'era5_3188' :b'8' } # values used to convert original record_id to the merged record_id, see method merge_all_data \n\n logging.info('*** Initialising the Merging procedure ***' ) \n #self.era5b_columns = [] # stores the columns of the era5fb \n self.standard_cdm = [ 'crs' , 'observed_variable', 'units' , 'z_coordinate_type' , 'station_type', 'station_configuration_codes'] \n self.slice_size = 3000\n self.index_offset = 0 # will be replaced when running \n self.hour_time_delta = 60 * 60 * 2 # decide up to which time shift records are considered identical \n \n \n self.only_std_plevels = False # set to True to store only standard pressure level data \n self.std_plevs = [1000, 2000, 3000, 5000, 7000, 10000, 15000, 20000, 25000, 30000, 40000, 50000, 70000, 85000, 92500, 100000]","def __init__(self, out_dir = 'output' ):\n \n self.data = {} # will contain the data for each different dataset \n self.datasets = '' # will contain the input datasets (original dictionary)\n self.datasets_keys = '' # will contain the input datasets names only (i.e. keys of the datasets dictionary)\n self.datasets_all = ['igra2' , 'era5_1' , 'ncar_w' , 'ncar_t', 'bufr' , 'era5_1759' , 'era5_1761' , 'era5_3188'] # all possibly available datasets \n #self.observation_ids_merged = { 'igra2':1 , 'ncar_t':2 , 'ncar_w':2, 'bufr':3, 'era5_1':4 , 'era5_1759' :5 , 'era5_1761':6 , 'era5_3188' :7} # values used to convert original record_id to the merged record_id, see method merge_all_data \n \n self.observation_ids_merged = { 'igra2':1 , 'ncar':2, 'bufr':3, 'era5_1':4 , 'era5_1759' :5 , 'era5_1761':6 , 'era5_3188' :7} # values used to convert original record_id to the merged record_id, see method merge_all_data \n \n self.unique_dates = {} \n self.attributes = {} # will keep the original attributes from the CDM tables, read from the netCDF files \n self.out_dir = out_dir","def data_setup_sensors():\n sensor_list = []\n sensor_list.append(helper_setup_sensors(factory_type_constant=SENSOR_TYPE_NAME_BASIC, sensor_name=\"Sensor1\",\n interval_between_readings=0.5, gpio_pin_id=None))\n sensor_list.append(helper_setup_sensors(factory_type_constant=SENSOR_TYPE_NAME_BASIC, sensor_name=\"Sensor2\",\n interval_between_readings=0.25, gpio_pin_id=None))\n sensor_list.append(helper_setup_sensors(factory_type_constant=SENSOR_TYPE_NAME_BASIC, sensor_name=\"Sensor3\",\n interval_between_readings=0.5, gpio_pin_id=None))\n sensor_list.append(helper_setup_sensors(factory_type_constant=SENSOR_TYPE_NAME_DHT22_CELSIUS, sensor_name=\"GPIO Temperature1\",\n interval_between_readings=2.0, gpio_pin_id=7))\n return sensor_list","def setup(self):\n in_dataset, out_dataset = self.get_datasets()","def setup(self):\n in_dataset, out_dataset = self.get_datasets()","def create_system_metrics(system):\n pass","def organise_baseline_data(self):\n self.baseline_data = {}\n for injkey in self.data_sets.keys():\n data = {}\n baseline_result = self.data_sets[injkey].pop('full_syst_baseline')\n datakey = baseline_result.keys()[0]\n baseline_data = self.systtest_fit_extract(\n fit_data=baseline_result[datakey],\n datakey=datakey,\n labels=self.labels[injkey]['full_syst_baseline'].dict\n )\n self.baseline_data[injkey] = baseline_data","def create_data_model():\r\n data = {}\r\n data['distance_matrix'] = distance_matrix.tolist()\r\n data['time_matrix'] = time_matrix.tolist()\r\n data['time_windows'] = time_windows.tolist()\r\n data['pickups_deliveries'] = pickup_deliveries.tolist()\r\n data['demands'] = demand\r\n data['num_vehicles'] = 20\r\n data['vehicle_capacities'] = [20 * i / i for i in range(1, num_vehicles+1)]\r\n data['depot'] = (2 * length) - 1\r\n return data","def prep_matlab(self):\n #allparams = self.__dict__ #NOTE: change to include just needed parameters\n #allparams.update(self.Set.__dict__)\n #print allparams\n # Quick Fix\n if not os.path.isdir(self.ProcDir): os.mkdir(self.ProcDir)\n if not os.path.isdir(self.OutDir): os.mkdir(self.OutDir)\n settings = {'DataDir':self.DataDir,\n 'ProcDir':self.ProcDir,\n 'ScriptDir':self.ScriptDir,\n 'OutDir':self.OutDir,\n 'AuxDir':self.AuxDir,\n 'Cothresh':self.Cothresh,\n 'Igthresh':self.Igthresh,\n 'Damping':self.Damping,\n 'Width':self.Set.Width,\n 'Length':self.Set.Length,\n 'Dates':'\\n'.join(self.Set.Dates.astype('S8')),\n 'DatesSerial':'\\n'.join(self.Set.DatesSerial.astype('S8')),\n 'TimeIntervals':'\\n'.join(self.Set.TimeIntervals.astype('S4')),\n 'TimeIndex':self.Set.TimeIndexString,\n 'Pairs':'\\n'.join(self.Set.PairsString),\n 'PairsSerial':'\\n'.join(self.Set.PairsSerialString),\n #'Names':'\\n'.join(self.Set.Names),\n #'Paths':'\\n'.join(self.Set.Names),\n 'ChronList':'\\n'.join(self.Set.ChronList),\n 'Omissions':'\\n'.join(self.Set.Omissions),\n 'Tandems':'\\n'.join(self.Set.Tandems)}\n\n fullpath = os.path.join(self.RunDir,'defaults.m')\n prerun = open(fullpath, 'w')\n prerun.write(\n\"\"\"\n%% Automatically created parameters file for RunTS.m\n%% created with roi_py.py\n%% =============================================================================\n%% Raw Data Directory\ndataDir = '{DataDir}';\n%% Masked/Tweaked Data Directory\nprocDir = '{ProcDir}';\n%% Output directory\noutDir = '{OutDir}';\n%% Scripts directory\nscriptDir = '{ScriptDir}';\n%% Auxilary files directory\nauxDir = '{AuxDir}';\n\n%% Coherence threshold (pixels with coherence less than 'maskthresh' will be\n%% marked as NaNs for scrapping or interpolation if desired.\nmaskThresh = {Cothresh};\n\n%% IGdensity threshold (pixels with # of non-interpolated data points less\n%% than IGthresh will be set to NaN in deformation_mod.m\nigThresh = {Igthresh};\n\n%% WDLS damping term in inversion_mod.m\ndamping = {Damping};\n\n%% Master scene dimensions\nwidth = {Width};\nleng = {Length};\n\n%% List of SAR acquisition dates for interferogram set\ndates = [{Dates}];\n\n%% SAR acquisition dates in python 'datetime' serial format\ndatesSerial = [{DatesSerial}];\n\n%% Number of days between consecutive SAR acquisitions\ndt = [{TimeIntervals}];\n\n%% Time Index\ntimeIndex = [{TimeIndex}];\n\n%% Interferogram master & slave dates\nigrams = [{Pairs}];\n\n%% Interferogram master & slave dates in serial format\nigramsSerial = [{PairsSerial}];\n\n%% Chronological list of interferogram file names used in matlab routines\nigramsList = [{ChronList}];\n\n%% User-specified ommissions\nomitList = [{Omissions}];\n\n%% Tandem pairs = [{Tandems}];\n\"\"\".format(**settings))\n prerun.close()\n print('Wrote %s, ready for RunTS.m' % fullpath)\n\n #pickle the omissions list for easy re-use later\n #NOTE: ultimately write this all in python and use input/output ascii files\n if hasattr(self,'Omissions'):\n pickle.dump(list(self.Omissions.keys()), os.path.join(self.RunDir,'omissions.p'))\n #to reload set10.omit(IG=pickle.load('omissions.p'))","def create_data_model():\r\n data = {}\r\n data['period'] = int(sheet1.cell_value(1, getColumnIndex(sheet1,'调度周期')))\r\n counttype_technician=3\r\n data['technician']=[]\r\n for i in range(1,1+counttype_technician):\r\n data['technician'].append(int(sheet1.cell_value(i, getColumnIndex(sheet1,'技工日工资'))))\r\n data['base'] = {}\r\n count_base=1 # 码头个数\r\n data['base']['coordinate']=[]\r\n for i in range(1,1+count_base):\r\n base_x=sheet1.cell_value(i, getColumnIndex(sheet1,'码头坐标X'))\r\n base_y=sheet1.cell_value(i, getColumnIndex(sheet1,'码头坐标Y'))\r\n data['base']['coordinate'].append((base_x,base_y))\r\n\r\n data['base']['technician']=[]\r\n for b in range(0,count_base):\r\n data['base']['technician'].append([])\r\n for j in range(counttype_technician):\r\n data['base']['technician'][b].append([])\r\n for i in range(data['period']):\r\n data['base']['technician'][b][j].append(int(sheet1.cell_value(i+1, getColumnIndex(sheet1,'%d类技工总人数'% (j+1)))))\r\n\r\n data['wind_farm'] = {}\r\n count_wind_farm=2 #需要维修的风电场个数\r\n count_wind_turbine=[8,8] #每个风电场需要维修的风机个数\r\n count_wind_turbine_sum=[36,36]# 每个风电场所有的风机个数\r\n data['wind_farm']['maintenance_time']=[]\r\n count_wturbine=[] #用于计数,记录不同风电场风机信息在Excel位置\r\n count_wturbine_l=0\r\n for i in range(count_wind_farm):\r\n count_wturbine.append(count_wturbine_l)\r\n count_wturbine_l=count_wturbine_l+count_wind_turbine[i]\r\n count_turbine=[]\r\n count_turbine_l=0\r\n for i in range(count_wind_farm):\r\n count_turbine.append(count_turbine_l)\r\n count_turbine_l=count_turbine_l+count_wind_turbine_sum[i]\r\n\r\n ###设定与风电场相关的参数\r\n for i in range(count_wind_farm):\r\n data['wind_farm']['maintenance_time'].append([])\r\n for j in range(count_wind_turbine[i]):\r\n data['wind_farm']['maintenance_time'][i].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'风机维护时间'))))\r\n\r\n data['wind_farm']['technician']=[]\r\n for i in range(count_wind_farm):\r\n data['wind_farm']['technician'].append([])\r\n for j in range(count_wind_turbine[i]):\r\n data['wind_farm']['technician'][i].append([])\r\n for k in range(counttype_technician):\r\n data['wind_farm']['technician'][i][j].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'%d类技工需求量'% (k+1)))))\r\n\r\n\r\n data['wind_farm']['parts_weight']=[]\r\n for i in range(count_wind_farm):\r\n data['wind_farm']['parts_weight'].append([])\r\n for j in range(count_wind_turbine[i]):\r\n data['wind_farm']['parts_weight'][i].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'风机所需备件重量'))))\r\n\r\n data['wind_farm']['present']=[]\r\n for i in range(count_wind_farm):\r\n data['wind_farm']['present'].append([])\r\n for j in range(count_wind_turbine[i]):\r\n data['wind_farm']['present'][i].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'风机在维修时是否需要船停泊'))))\r\n\r\n data['wind_farm']['deadline']=[]\r\n for i in range(count_wind_farm):\r\n data['wind_farm']['deadline'].append([])\r\n for j in range(count_wind_turbine[i]):\r\n data['wind_farm']['deadline'][i].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'最晚建议维修时间'))))\r\n\r\n data['wind_farm']['penalty_cost']=[]\r\n for i in range(count_wind_farm):\r\n data['wind_farm']['penalty_cost'].append([])\r\n for j in range(count_wind_turbine[i]):\r\n data['wind_farm']['penalty_cost'][i].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'逾时惩罚成本'))))\r\n\r\n data['vessel'] = {}\r\n counttype_vessel=3\r\n data['vessel']['capacity']=[]\r\n for i in range(counttype_vessel):\r\n data['vessel']['capacity'].append(int(sheet1.cell_value(i+1, getColumnIndex(sheet1,'船的备件容量'))))\r\n\r\n data['vessel']['technician']=[]\r\n for i in range(counttype_vessel):\r\n data['vessel']['technician'].append(int(sheet1.cell_value(i+1, getColumnIndex(sheet1,'船的人员可载量'))))\r\n\r\n data['vessel']['cost']=[]\r\n for i in range(counttype_vessel):\r\n data['vessel']['cost'].append(int(sheet1.cell_value(i+1, getColumnIndex(sheet1,'船的油费'))))\r\n\r\n data['vessel']['speed']=[]\r\n for i in range(counttype_vessel):\r\n data['vessel']['speed'].append(int(sheet1.cell_value(i+1, getColumnIndex(sheet1,'船的航速'))))\r\n\r\n data['vessel']['trans_time']=[] # 这里默认转移时间跟船的类型没有关系，与时期有关\r\n for i in range(data['period']):\r\n data['vessel']['trans_time'].append(sheet1.cell_value(i+1, getColumnIndex(sheet1,'技工转移时间')))\r\n\r\n data['vessel']['time_window']=[]\r\n for i in range(counttype_vessel):\r\n data['vessel']['time_window'].append([])\r\n for j in range(data['period']):\r\n data['vessel']['time_window'][i].append([])\r\n for k in range(count_wind_farm):\r\n data['vessel']['time_window'][i][j].append(int(sheet1.cell_value(j+1, getColumnIndex(sheet1,'风电场%d船%d可作业时间'%(k+1,i+1)))))\r\n\r\n # # 风机坐标\r\n # data['wind_farm']['coordinate']=[]\r\n # for i in range(count_wind_farm):\r\n # data['wind_farm']['coordinate'].append([])\r\n # for j in range(72):\r\n # turbine_x = sheet1.cell_value(j+1, getColumnIndex(sheet1, '风机坐标X'))\r\n # turbine_y = sheet1.cell_value(j+1, getColumnIndex(sheet1, '风机坐标Y'))\r\n # data['wind_farm']['coordinate'][i].append((turbine_x, turbine_y))\r\n\r\n # 风机坐标\r\n data['wind_farm']['coordinate']=[]\r\n for i in range(count_wind_farm):\r\n data['wind_farm']['coordinate'].append([])\r\n for j in range(count_wind_turbine_sum[i]):\r\n turbine_x = sheet1.cell_value(j+1+count_turbine[i], getColumnIndex(sheet1, '风机坐标X'))\r\n turbine_y = sheet1.cell_value(j+1+count_turbine[i], getColumnIndex(sheet1, '风机坐标Y'))\r\n data['wind_farm']['coordinate'][i].append((turbine_x, turbine_y))\r\n\r\n\r\n data['wind_farm']['task']=[]\r\n for i in range(count_wind_farm):\r\n data['wind_farm']['task'].append([])\r\n for j in range(count_wind_turbine[i]):\r\n data['wind_farm']['task'][i].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'需要维修风机编号'))))\r\n\r\n return data","def generate_data_collection(self):\n self.data_1 = Exporter(name=\"name_1\",\n url=constants.XSL_URL,\n enable_by_default=False,\n templates=[]).save()\n self.data_collection = [self.data_1]"],"string":"[\n \"def collectData(self):\\n\\n self.data.datahash = {} # dict of system data\\n\\n vmstat_dict = self._getvmstat()\\n if vmstat_dict:\\n self.data.datahash.update(vmstat_dict)\\n\\n uptime_dict = self._getuptime()\\n if uptime_dict:\\n self.data.datahash.update(uptime_dict)\\n\\n log.log( \\\"<system>system.collectData(): new system list created\\\", 7 )\",\n \"def _build_datasets(self):\\n self._build_datasets_sis3302()\\n self._build_datasets_sis3305()\",\n \"def create_sets(self,FD_SET=['FinalD'],VA_SET=['VA']):\\n \\n self.m.S = Set(initialize=self.sectors, doc='sectors')\\n self.m.P = Set(initialize=self.products, doc='sectors')\\n self.m.row = Set(initialize=self.products, doc='products')\\n self.m.col = Set(initialize=self.sectors+['FinalD'], doc='sectors and final demand')\\n \\n self.m.rROW = Set(initialize=self.countries,ordered=True, doc='regions including export')\\n self.m.R = Set(initialize=self.countries,ordered=True, doc='regions')\\n\\n self.m.fdemand = Set(initialize=FD_SET, doc='Final Demand')\\n\\n self.m.VA = Set(initialize=VA_SET, doc='value added')\",\n \"def create_system_data():\\n system_data = dict()\\n system_data['system'] = dict()\\n system_data['system']['primary'] = dict()\\n system_data['system']['primary']['controllers'] = dict()\\n system_data['system']['primary']['controllers']['re0'] = dict()\\n system_data['system']['primary']['controllers']['re0']['hostname'] = 'abc'\\n system_data['system']['primary']['controllers']['re0']['mgt-ip'] = '1.1.1.1'\\n system_data['system']['primary']['controllers']['re0']['osname'] = 'Paragon'\\n system_data['system']['primary']['name'] = 'abc'\\n system_data['system']['primary']['model'] = 'Paragon'\\n system_data['system']['primary']['make'] = 'Calnex'\\n system_data['system']['primary']['server-ip'] = '1.1.1.2'\\n system_data['system']['primary']['osname'] = 'Paragon'\\n return system_data\",\n \"def __init__(self):\\n self.machines = {}\\n self.configs = {}\\n self.systems = {}\\n self.jobs = {}\\n self.benchmarks = {}\\n self.projects = {}\",\n \"def _data():\\n data = {s: {} for s in systems}\\n\\n # PbPb2760 and PbPb5020 dNch/deta\\n for system, args, name in [\\n ('PbPb2760', (880049, 1), 'D(N)/DETARAP'),\\n ('PbPb5020', (1410589, 2),\\n r'$\\\\mathrm{d}N_\\\\mathrm{ch}/\\\\mathrm{d}\\\\eta$'),\\n ]:\\n data[system]['dNch_deta'] = {None: HEPData(*args).dataset(name)}\\n\\n # PbPb2760 transverse energy\\n # ignore bin 0-5 since it's redundant with 0-2.5 and 2.5-5\\n dset = HEPData(1427723, 1).dataset('$E_{T}$', ignore_bins=[(0, 5)])\\n dset['yerr']['sys'] = dset['yerr'].pop('sys,total')\\n data['PbPb2760']['dET_deta'] = {None: dset}\\n\\n # PbPb2760 identified dN/dy and mean pT\\n system = 'PbPb2760'\\n\\n for obs, table, combine_func in [\\n ('dN_dy', 31, np.sum),\\n ('mean_pT', 32, np.mean),\\n ]:\\n data[system][obs] = {}\\n d = HEPData(1222333, table)\\n for key, re_products in [\\n ('pion', ['PI+', 'PI-']),\\n ('kaon', ['K+', 'K-']),\\n ('proton', ['P', 'PBAR']),\\n ]:\\n dsets = [\\n d.dataset(RE='PB PB --> {} X'.format(i))\\n for i in re_products\\n ]\\n\\n data[system][obs][key] = dict(\\n dsets[0],\\n y=combine_func([d['y'] for d in dsets], axis=0),\\n yerr={\\n e: combine_func([d['yerr'][e] for d in dsets], axis=0)\\n for e in dsets[0]['yerr']\\n }\\n )\\n\\n # PbPb2760 strange baryon yields\\n data['PbPb2760']['dN_dy']['Lambda'] = HEPData(1243863, 23).dataset(\\n RE='PB PB --> LAMBDA X'\\n )\\n\\n d = HEPData(1243865, 11)\\n for s in ['Xi', 'Omega']:\\n data[system]['dN_dy'][s] = d.dataset(\\n RE='PB PB --> ({0}- + {0}BAR+) X'.format(s.upper())\\n )\\n\\n # PbPb2760 mean pT fluctuations\\n d = HEPData(1307102, 6, reverse=True)\\n name = r'$\\\\sqrt{C_m}/M(p_{\\\\rm T})_m$'\\n # the table only has Npart, but they are actually 5% centrality bins\\n width = 5.\\n d.cent = [(n*width, (n+1)*width) for n, _ in enumerate(d.y(name))]\\n data['PbPb2760']['pT_fluct'] = {None: d.dataset(name, maxcent=60)}\\n\\n # PbPb2760 and PbPb5020 flows\\n for system, tables_nk in [\\n ('PbPb5020', [\\n (1, [(2, 2), (2, 4)]),\\n (2, [(3, 2), (4, 2)]),\\n ]),\\n ('PbPb2760', [\\n (3, [(2, 2), (2, 4)]),\\n (4, [(3, 2), (4, 2)]),\\n ]),\\n ]:\\n data[system]['vnk'] = {}\\n\\n for table, nk in tables_nk:\\n d = HEPData(1419244, table)\\n for n, k in nk:\\n data[system]['vnk'][n, k] = d.dataset(\\n 'V{}{{{}{}}}'.format(\\n n, k, ', |DELTAETA|>1' if k == 2 else ''\\n ),\\n maxcent=(70 if n == 2 else 50)\\n )\\n\\n # PbPb2760 central flows vn{2}\\n system, obs = 'PbPb2760', 'vnk_central'\\n data[system][obs] = {}\\n\\n for n, table, sys_err_frac in [(2, 11, .025), (3, 12, .040)]:\\n dset = HEPData(900651, table).dataset()\\n # the (unlabeled) errors in the dataset are actually stat\\n dset['yerr']['stat'] = dset['yerr'].pop('sum')\\n # sys error is not provided -- use estimated fractions\\n dset['yerr']['sys'] = sys_err_frac * dset['y']\\n data[system][obs][n, 2] = dset\\n\\n # PbPb2760 flow correlations\\n for obs, table in [\\n ('sc', 1),\\n ('sc_normed', 2),\\n ('sc_central', 3),\\n ('sc_normed_central', 4)\\n ]:\\n d = HEPData(1452590, table)\\n data['PbPb2760'][obs] = {\\n mn: d.dataset('SC({},{})'.format(*mn))\\n for mn in [(3, 2), (4, 2)]\\n }\\n\\n return data\",\n \"def initialize_data(self , station = '', datasets = {} ):\\n \\n self.datasets = datasets\\n self.datasets_keys = datasets.keys()\\n self.station = station\\n \\n data = {} # container for the data of each dataset\\n source_configuration = {} # container for the source_configuration of each dataset\\n \\n\\n \\n \\\"\\\"\\\" Looping over the datasets \\\"\\\"\\\"\\n logging.info('*** Reading and Initializing the data from the netCDF files ')\\n \\n \\n for k,v in datasets.items() :\\n logging.info(' Initialising the dataset: *** %s ' , k )\\n data[k] = {} \\n data['cdm_tables'] = {} \\n \\n ### alternative with xarray \\n #ds = xr.load_dataset(v) \\n #observations_table = xr.open_dataset(v , engine = 'h5netcdf' , group = 'observations_table') \\n \\n ### alternative with netCDF4\\n #ds = nc.Dataset(v) \\n #data[k]['dateindex'] = ds.variables['dateindex'][0,:] # storing the dateindex \\n \\n ###for h5py but cant extract date time units !!!\\n ds = h5py.File(v , driver=\\\"core\\\" ) \\n data[k]['df'] = ds # storing the entire file \\n try: \\n data[k]['source_file'] = ds['source_configuration']['source_file'][0]\\n except:\\n data[k]['source_file'] = str(v) # temp fix \\n \\n #data[k]['product_code'] = ds['source_configuration']['product_code'][0] \\n #data[k]['recordtimestamp'] = ds['recordtimestamp'].value\\n #data[k]['recordindex'] = ds['recordindex'].value \\n #ds.close() \\n logging.debug('Reading the file with h5py ')\\n \\n \\n # add here appending datasets for the case of ncar_w and ncar_t \\n \\n \\n self.data = data\\n self.make_dataframe()\\n ds.close()\\n \\n \\\"\\\"\\\" Reading the header_table, station_configuration, source_configuration \\\"\\\"\\\"\\n for k,v in datasets.items() : \\n \\n #d = xr.open_dataset(v , engine = 'h5netcdf' ) \\n #data[k]['recordtimestamp'] = d['recordtimestamp'].values\\n #data[k]['recordindex'] = d['recordindex'].values \\n \\n \\n d = xr.open_dataset(v , engine = 'h5netcdf' , group = 'station_configuration') \\n data[k]['station_configuration'] = d.to_dataframe() \\n #data[k]['station_configuration'] = d ### USELESS ? \\n logging.debug('Done with %s station_configuration' , str(k) )\\n \\n \\n d = xr.open_dataset(v , engine = 'h5netcdf' , group = 'header_table') \\n logging.debug('Loading the header_table') \\n if 'header_table' not in list( self.attributes.keys() ): # saving the attributes to be re-applied at the end\\n self.attributes['header_table'] = {}\\n for var in d.variables:\\n self.attributes['header_table'][var] = {}\\n self.attributes['header_table'][var]['description'] = d[var].description\\n self.attributes['header_table'][var]['external_table'] = d[var].external_table \\n data[k]['header_table'] = d.to_dataframe() \\n logging.debug('Done with %s ' , k )\\n \\n logging.info(\\\"*** Loading the observations_table (might take time) %s\\\" , k ) \\n d = xr.open_dataset(v , engine = 'h5netcdf' , group = 'observations_table') \\n \\n if 'observations_table' not in list( self.attributes.keys() ): # saving the attributes to be re-applied at the end\\n self.attributes['observations_table'] = {}\\n for var in d.variables:\\n self.attributes['observations_table'][var] = {}\\n self.attributes['observations_table'][var]['description'] = d[var].description\\n self.attributes['observations_table'][var]['external_table'] = d[var].external_table\\n \\n \\n logging.info(\\\"*** Loading the source configuration %s\\\" , k ) \\n try: \\n d = xr.open_dataset(v , engine = 'h5netcdf' , group = 'source_configuration')\\n d = d.isel(hdrlen=[0])\\n data[k]['source_configuration'] = d.to_dataframe() ### USELESS ? \\n logging.debug('Done with %s source_configuration' , k )\\n except: \\n data[k]['source_configuration']= pd.DataFrame(np.array( [ [ self.data[k]['source_file'] ] ] ) , columns=['source_file'] ) \\n \\n if k == 'era5_1': # reading the whole era5_1 feedback (including reanalysis)\\n d = xr.open_dataset(v , engine = 'h5netcdf' , group = 'era5fb') \\n data[k]['era5fb'] = d.to_dataframe() \\n logging.debug('Done with %s era5 feedback ', k )\\n \\n \\\"\\\"\\\" Reading the CDM tables that do not depend on specific stations or observations (fixed values), for the first file only \\\"\\\"\\\" \\n if list(datasets.keys()).index(k) == 0 :\\n for t in [ 'crs' , 'observed_variable', 'units' , 'z_coordinate_type' , 'station_type']: \\n \\n d = xr.open_dataset(v , engine = 'h5netcdf' , group = t) \\n #data['cdm_tables'][t] = d.to_dataframe() ### USELESS ?\\n data['cdm_tables'][t] = d \\n \\n d.close() \\n ds.close()\\n\\n \\\"\\\"\\\" Reading the name of the original source file \\\"\\\"\\\"\\n source_configuration[k] = {} \\n source_configuration[k]['source_file'] = [ c for c in v.split('/') if '.nc' in c][0]\\n\\n \\n \\\"\\\"\\\" Storing the station configurations \\\"\\\"\\\" \\n self.source_configuration = source_configuration \\n \\n \\\"\\\"\\\" Making all date_times \\\"\\\"\\\" \\n self.make_all_datetime()\\n \\n \\n \\\"\\\"\\\" feedback columns \\\"\\\"\\\"\\n if 'era5_1' in list (self.data.keys() ):\\n self.fb_columns = list(self.data['era5_1']['era5fb'].columns ) \\n else:\\n self.fb_columns = ['empty']\",\n \"def _make_data(self):\\n pdf_datasets_all = make_pdf_datasets(self.pdf_list, self.xlims, self.ylims, self.tlims, self.dims, 9)\\n self.pdf_dataset = np.concatenate(pdf_datasets_all, axis = 0)\\n self.PDE_dataset = make_PDE_dataset(self.num_collocation, self.xlims, self.ylims, self.tlims, self.dims)\\n self.BC_dataset = make_BC_dataset(self.num_BC, self.xlims, self.ylims, self.tlims, self.dims)\",\n \"def _build_datasets_sis3302(self):\\n bc_arr = np.where(self._active_brdch[\\\"SIS 3302\\\"])\\n\\n for board, channel in zip(bc_arr[0], bc_arr[1]):\\n brd = board + 1\\n ch = channel + 1\\n slot = self.get_slot(brd, \\\"SIS 3302\\\")\\n\\n for cname in self._active_config:\\n # create main dataset\\n dset_name = f\\\"{cname} [Slot {slot}: SIS 3302 ch {ch}]\\\"\\n shape = (self._sn_size, self._nt)\\n data = np.empty(shape=shape, dtype=np.int16)\\n self.create_dataset(dset_name, data=data)\\n\\n # create header dataset\\n hdset_name = f\\\"{dset_name} headers\\\"\\n shape = (self._sn_size,)\\n dtype = np.dtype(\\n [\\n (\\\"Shot number\\\", np.int32),\\n (\\\"Scale\\\", np.float32),\\n (\\\"Offset\\\", np.float32),\\n (\\\"Min\\\", np.uint16),\\n (\\\"Max\\\", np.uint16),\\n (\\\"Clipped\\\", np.int8),\\n ]\\n )\\n dheader = np.empty(shape=shape, dtype=dtype)\\n dheader[\\\"Shot number\\\"] = np.arange(\\n 1, shape[0] + 1, 1, dtype=dheader[\\\"Shot number\\\"].dtype\\n )\\n dheader[\\\"Scale\\\"] = 7.7241166e-5\\n dheader[\\\"Offset\\\"] = -2.531\\n dheader[\\\"Min\\\"] = data.min(axis=1)\\n dheader[\\\"Max\\\"] = data.max(axis=1)\\n dheader[\\\"Clipped\\\"] = 0\\n self.create_dataset(hdset_name, data=dheader)\",\n \"def get_data():\\n \\n data = {\\n 'loadAvg1Min': 0, #load average 1 min\\n 'loadAvg5Min': 0, #load average 5 min\\n 'loadAvg15Min': 0, #load average 15 min\\n 'cpuUsage': [], #usage distribution for each cpu\\n 'memUsage': {}, #memory usage \\n 'networkReads': [], #network reads per second for each interface\\n 'networkWrites': [], #network writes per second for each interface\\n 'diskReads': [], #disk reads per second for each disk\\n 'diskWrites': [] #disk writes per second for each disk\\n }\\n \\n #metrics that doesnt need sampling\\n data['loadAvg1Min'], data['loadAvg5Min'], data['loadAvg15Min'] = get_load_avg() #get load avg\\n data['memUsage'].update(get_mem_usage()) #memory usage\\n \\n #metrics that needs sampling\\n #they are written as a generator so that we can sleep before collection again\\n sampling_duration = 1\\n cpu_usage_gen = get_cpu_usage(sampling_duration) #generator for cpu usage\\n net_rw_gen = get_net_rw(sampling_duration) #generator for network read write\\n disk_rw_gen = get_disk_rw(sampling_duration) #generator for disk read write\\n \\n while 1: #now start sampling, whenever we have walid data, we can exit the loop\\n cpu_usage = next(cpu_usage_gen)\\n net_rw = next(net_rw_gen)\\n disk_rw = next(disk_rw_gen)\\n \\n if cpu_usage or net_rw or disk_rw: #we have valid data\\n break\\n \\n time.sleep(sampling_duration)\\n \\n #append cpu usage for each cpu core\\n for cpu, usage in cpu_usage.items():\\n data['cpuUsage'].append({'name': cpu, 'value': usage})\\n \\n #append network read and write for each interface\\n for interface, rw in net_rw.items():\\n data['networkReads'].append({'name': interface, 'value': rw['reads']})\\n data['networkWrites'].append({'name': interface, 'value': rw['writes']}) \\n \\n #append disk read and write for each logical disk\\n for device, rw in disk_rw.items():\\n data['diskReads'].append({'name': device, 'value': rw['reads']})\\n data['diskWrites'].append({'name': device, 'value': rw['writes']})\\n \\n return data\",\n \"def create_sets(self,FD_SET=[],VA_SET=[]):\\n \\n self.m.S = Set(initialize=self.sectors, doc='sectors')\\n\\n if self.EORA is True:\\n self.m.rROW = Set(initialize=self.countries+['ROW'],ordered=True, doc='regions including export')\\n self.m.R = Set(initialize=self.countries+['ROW'],ordered=True, doc='regions')\\n else:\\n self.m.rROW = Set(initialize=self.countries,ordered=True, doc='regions including export')\\n self.m.R = Set(initialize=self.countries,ordered=True, doc='regions')\\n\\n if self.EORA is True:\\n self.m.fdemand = Set(initialize=['P3h', 'P3n','P3g', 'P51','P52','P53'], doc='Final Demand')\\n else:\\n self.m.fdemand = Set(initialize=self.fd_cat, doc='Final Demand')\\n\\n if self.EORA is True:\\n self.m.VA = Set(initialize=['VA'], doc='value added')\\n else:\\n self.m.VA = Set(initialize=VA_SET, doc='value added')\",\n \"def build_data_set(self):\\n if not self.assert_data_correct():\\n self.download_all_data()\\n self.unpack_rename_data()\\n self.split_data_characters()\\n self.clean_data_fragments()\\n self.create_font_data()\\n if not self.assert_train_augmented():\\n self.augment_train_data()\\n if not self.assert_style_data_correct():\\n self.download_style_data()\\n self.unpack_rename_data()\",\n \"def bootstrap(self):\\n\\n\\t\\t#---paths.yaml specifies directories which might be absent so make them\\n\\t\\tif not os.path.isdir(self.postdir): os.mkdir(self.postdir)\\n\\t\\tif not os.path.isdir(self.plotdir): os.mkdir(self.plotdir)\\n\\t\\t#---parse the simulations found in each \\\"spot\\\"\\n\\t\\tfor spot in self.spots: self.treeparser(spot)\\n\\t\\t#---if there is a part named edr then we use it to get simulation times\\n\\t\\t#---! edr files are required to infer times for slicing however we might also use xtc or trr later\\n\\t\\tassert 'edr' in zip(*self.spots.keys())[1]\\n\\t\\tself.treeparser_edr()\\n\\t\\t#---data are stored in dictionaries by spot name\\n\\t\\tall_top_keys = [i for j in [k.keys() for k in self.toc.values()] for i in j]\\n\\n\\t\\t#---! under development\\n\\t\\tfor key in ['post','groups','slices']:\\n\\t\\t\\tif key not in self.members_with_specific_parts:\\n\\t\\t\\t\\tself.__dict__[key] = {i:{} for i in all_top_keys}\\n\\t\\t\\telse: self.__dict__[key] = {(spot,i):{} \\n\\t\\t\\t\\tfor spot in self.toc for i in self.toc[spot]}\\n\\t\\tself.save()\",\n \"def _build_datasets_sis3305(self):\\n bc_arr = np.where(self._active_brdch[\\\"SIS 3305\\\"])\\n\\n for board, channel in zip(bc_arr[0], bc_arr[1]):\\n brd = board + 1\\n ch = channel + 1\\n slot = self.get_slot(brd, \\\"SIS 3305\\\")\\n if 1 <= ch <= 4:\\n fpga_str = \\\"FPGA 1\\\"\\n else:\\n fpga_str = \\\"FPGA 2\\\"\\n ch = ch - 4\\n\\n for cname in self._active_config:\\n # create main dataset\\n dset_name = f\\\"{cname} [Slot {slot}: SIS 3305 {fpga_str} ch {ch}]\\\"\\n shape = (self._sn_size, self._nt)\\n data = np.empty(shape=shape, dtype=np.int16)\\n self.create_dataset(dset_name, data=data)\\n\\n # create header dataset\\n hdset_name = f\\\"{dset_name} headers\\\"\\n shape = (self._sn_size,)\\n dtype = np.dtype(\\n [\\n (\\\"Shot number\\\", np.int32),\\n (\\\"Scale\\\", np.float32),\\n (\\\"Offset\\\", np.float32),\\n (\\\"Min\\\", np.uint16),\\n (\\\"Max\\\", np.uint16),\\n (\\\"Clipped\\\", np.int8),\\n ]\\n )\\n dheader = np.empty(shape=shape, dtype=dtype)\\n dheader[\\\"Shot number\\\"] = np.arange(\\n 1, shape[0] + 1, 1, dtype=dheader[\\\"Shot number\\\"].dtype\\n )\\n dheader[\\\"Scale\\\"] = 0.0019550342\\n dheader[\\\"Offset\\\"] = -1.0\\n dheader[\\\"Min\\\"] = data.min(axis=1)\\n dheader[\\\"Max\\\"] = data.max(axis=1)\\n dheader[\\\"Clipped\\\"] = 0\\n self.create_dataset(hdset_name, data=dheader)\",\n \"def __init__(\\n self,\\n folder,\\n norm=True,\\n target=\\\"semantic\\\",\\n cache=False,\\n mem16=False,\\n folds=None,\\n reference_date=\\\"2018-09-01\\\",\\n class_mapping=None,\\n mono_date=None,\\n sats=[\\\"S2\\\"],\\n ):\\n super(PASTIS_Dataset, self).__init__()\\n self.folder = folder\\n self.norm = norm\\n self.reference_date = datetime(*map(int, reference_date.split(\\\"-\\\")))\\n self.cache = cache\\n self.mem16 = mem16\\n self.mono_date = (\\n datetime(*map(int, mono_date.split(\\\"-\\\")))\\n if isinstance(mono_date, str)\\n else mono_date\\n )\\n self.memory = {}\\n self.memory_dates = {}\\n self.class_mapping = (\\n np.vectorize(lambda x: class_mapping[x])\\n if class_mapping is not None\\n else class_mapping\\n )\\n self.target = target\\n self.sats = sats\\n\\n # Get metadata\\n print(\\\"Reading patch metadata . . .\\\")\\n self.meta_patch = gpd.read_file(os.path.join(folder, \\\"metadata.geojson\\\"))\\n self.meta_patch.index = self.meta_patch[\\\"ID_PATCH\\\"].astype(int)\\n self.meta_patch.sort_index(inplace=True)\\n\\n self.date_tables = {s: None for s in sats}\\n self.date_range = np.array(range(-200, 600))\\n for s in sats:\\n dates = self.meta_patch[\\\"dates-{}\\\".format(s)]\\n date_table = pd.DataFrame(\\n index=self.meta_patch.index, columns=self.date_range, dtype=int\\n )\\n for pid, date_seq in dates.iteritems():\\n d = pd.DataFrame().from_dict(date_seq, orient=\\\"index\\\")\\n d = d[0].apply(\\n lambda x: (\\n datetime(int(str(x)[:4]), int(str(x)[4:6]), int(str(x)[6:]))\\n - self.reference_date\\n ).days\\n )\\n date_table.loc[pid, d.values] = 1\\n date_table = date_table.fillna(0)\\n self.date_tables[s] = {\\n index: np.array(list(d.values()))\\n for index, d in date_table.to_dict(orient=\\\"index\\\").items()\\n }\\n\\n print(\\\"Done.\\\")\\n\\n # Select Fold samples\\n if folds is not None:\\n self.meta_patch = pd.concat(\\n [self.meta_patch[self.meta_patch[\\\"Fold\\\"] == f] for f in folds]\\n )\\n\\n self.len = self.meta_patch.shape[0]\\n self.id_patches = self.meta_patch.index\\n\\n # Get normalisation values\\n if norm:\\n self.norm = {}\\n for s in self.sats:\\n with open(\\n os.path.join(folder, \\\"NORM_{}_patch.json\\\".format(s)), \\\"r\\\"\\n ) as file:\\n normvals = json.loads(file.read())\\n selected_folds = folds if folds is not None else range(1, 6)\\n means = [normvals[\\\"Fold_{}\\\".format(f)][\\\"mean\\\"] for f in selected_folds]\\n stds = [normvals[\\\"Fold_{}\\\".format(f)][\\\"std\\\"] for f in selected_folds]\\n self.norm[s] = np.stack(means).mean(axis=0), np.stack(stds).mean(axis=0)\\n self.norm[s] = (\\n torch.from_numpy(self.norm[s][0]).float(),\\n torch.from_numpy(self.norm[s][1]).float(),\\n )\\n else:\\n self.norm = None\\n print(\\\"Dataset ready.\\\")\",\n \"def setup(self):\\n # get unsorted vs sorted units\\n data_dict = mat73.loadmat(self.file)\\n units_unsorted = []\\n units_sorted = []\\n for ch_curr in data_dict['spikes']:\\n units_unsorted.append(ch_curr[0]) # from data description, first unit is unsorted\\n for unit_curr in ch_curr[1:]:\\n if unit_curr is not None:\\n units_sorted.append(unit_curr)\\n \\n # getting binned spikes\\n bin_size_ms = 10\\n # window for binning\\n mintime, maxtime = 100, 0\\n for spk_times_curr in units_sorted:\\n mintime = min(spk_times_curr[0], mintime)\\n maxtime = max(spk_times_curr[-1], maxtime)\\n # get binned spikes\\n spk_bins = np.arange(mintime, maxtime, bin_size_ms/1000)\\n spks_binned = []\\n for i, unit_curr in enumerate(units_sorted):\\n spks_binned_curr, _ = np.histogram(unit_curr, bins=spk_bins, range=(spk_bins[0], spk_bins[-1]))\\n spks_binned.append(spks_binned_curr)\\n self.data = np.array(spks_binned).T\\n\\n self.l = 1 # columns per update\\n l1 = 100 # columns used to initialize\\n self.t = l1\\n self.num_iters = np.floor((self.data.shape[0] - l1 - self.l)/self.l).astype('int')\\n\\n #send to dim reduction\\n init_id = self.client.put([self.data.shape[0], self.data[:l1, :]], \\\"init_data\\\")\\n logger.info(\\\"Putted init data\\\")\\n self.q_out.put(init_id)\",\n \"def setup_datavault(self, x_axis, y_axis):\\n\\n yield self.dv.cd(['', self.name], True)\\n\\n # datasets for each laser\\n self.dataset = yield self.dv.new(self.name + ' ML', [( 't', 'num')], [('GHz', '', 'num')])\",\n \"def get_data_subsets(t0, t1):\\n\\n # Iridium data:\\n irid = iridium[(iridium.time >= t0) & (iridium.time <= t1)]\\n irid_B = np.vstack((irid.B_e.values, irid.B_n.values, irid.B_r.values))\\n irid_coords = np.vstack((irid.lon.values, irid.lat.values, irid.r.values))\\n\\n # SuperMAG data:\\n smag = supermag.loc[t0:t1, :]\\n smag_B = np.vstack((smag.Be.values, smag.Bn.values, smag.Bu.values))\\n smag_coords = np.vstack((smag.lon.values, smag.lat.values))\\n\\n # SuperDARN data:\\n sd = superdarn.loc[t0:t1, :]\\n vlos = sd['vlos'].values\\n sd_coords = np.vstack((sd['glon'].values, sd['glat'].values))\\n los = np.vstack((sd['le'].values, sd['ln'].values))\\n\\n\\n # Make the data objects. The scale keyword determines a weight for the dataset. Increase it to reduce weight\\n iridium_data = lompe.Data(irid_B * 1e-9, irid_coords, datatype = 'space_mag_fac', scale = 200e-9)\\n supermag_data = lompe.Data(smag_B * 1e-9, smag_coords, datatype = 'ground_mag' , scale = 100e-9)\\n superdarn_data = lompe.Data(vlos , sd_coords , LOS = los, datatype = 'convection' , scale = 500 )\\n\\n return(iridium_data, supermag_data, superdarn_data)\",\n \"def dsinfomaker(compath, backpath, mwb, tcfs, SR=\\\"SR\\\"):#yrs, ves,\\r\\n\\tdsinfo = OrderedDict()\\r\\n\\t# ==========\\r\\n\\tdsinfo[\\\"GFED\\\"] = ({\\\"alias\\\":\\\"GFED4.1\\\",\\\"long_name\\\":\\\"FRI\\\", \\\"units\\\":\\\"yrs\\\"})\\r\\n\\tdsinfo[\\\"MODIS\\\"] = ({\\\"alias\\\":\\\"MCD64A1\\\", \\\"long_name\\\":\\\"FRI\\\",\\\"units\\\":\\\"yrs\\\", \\\"version\\\":\\\"v006\\\"})\\r\\n\\tdsinfo[\\\"esacci\\\"] = ({\\\"alias\\\":\\\"FireCCI5.1\\\", \\\"long_name\\\":\\\"FRI\\\",\\\"units\\\":\\\"yrs\\\"})\\r\\n\\tdsinfo[\\\"COPERN_BA\\\"] = ({\\\"alias\\\":\\\"CGLS\\\", \\\"long_name\\\":\\\"FRI\\\",\\\"units\\\":\\\"yrs\\\"})\\r\\n\\tdsinfo[\\\"HANSEN_AFmask\\\"] = ({\\\"alias\\\":\\\"Hansen GFC & MCD14ML\\\", \\\"long_name\\\":f'FRI$_{{{SR}}}$',\\\"units\\\":\\\"yrs\\\"})\\r\\n\\tdsinfo[\\\"HANSEN\\\"] = ({\\\"alias\\\":\\\"Hansen GFC\\\", \\\"long_name\\\":\\\"DRI\\\",\\\"units\\\":\\\"yrs\\\"})\\r\\n\\tdsinfo[\\\"Risk\\\"] = ({\\\"alias\\\":\\\"Forest Loss Risk\\\"})\\r\\n\\t# dsinfo[\\\"FutureRisk\\\"] = ({\\\"alias\\\":\\\"Forest Loss Risk\\\"})\\r\\n\\tdsinfo[\\\"SRfrac\\\"] = ({\\\"alias\\\":\\\"Stand Replacing Fire Percentage\\\", \\\"long_name\\\":f'FRI$_{{{\\\"SR\\\"}}}$ %'})\\r\\n\\r\\n\\tfor dsnm in dsinfo:\\r\\n\\t\\tif dsnm.startswith(\\\"H\\\"):\\r\\n\\t\\t\\t# +++++ make a path +++++\\r\\n\\t\\t\\tppath = compath + \\\"/BurntArea/HANSEN/FRI/\\\"\\r\\n\\t\\t\\tfname = \\\"%s%s_annual_burns_MW_%ddegreeBox.nc\\\" % (dsnm, tcfs, mwb)\\r\\n\\t\\t\\t# fname = \\\"%s%s_annual_burns_MW_%ddegreeBox.nc\\\" % (dsnm, mwb)\\r\\n\\t\\telif dsnm == \\\"Risk\\\":\\r\\n\\t\\t\\tppath = compath + \\\"/BurntArea/Risk/FRI/\\\"\\r\\n\\t\\t\\tfname = \\\"%s_annual_burns_MW_%ddegreeBox.nc\\\" % (dsnm, mwb)\\r\\n\\t\\t\\tcf.pymkdir(ppath)\\r\\n\\t\\t# elif dsnm == \\\"FutureRisk\\\":\\r\\n\\t\\t# \\tppath = compath + \\\"/BurntArea/Risk/FRI/\\\"\\r\\n\\t\\t# \\tfname = f\\\"{dsnm}_annual_burns_MW_{mwb}degreeBox_{yrs}yrs_{ves}.nc\\\" \\r\\n\\t\\t# \\tcf.pymkdir(ppath)\\r\\n\\t\\telse:\\r\\n\\t\\t\\t# fname = \\\"Hansen_GFC-2018-v1.6_regrided_esacci_FRI_%ddegMW_SIBERIA\\\" % (mwb)\\r\\n\\t\\t\\tppath = compath + \\\"/BurntArea/%s/FRI/\\\" % dsnm\\r\\n\\t\\t\\tfname = \\\"%s_annual_burns_MW_%ddegreeBox.nc\\\" % (dsnm, mwb)\\r\\n\\t\\t# +++++ open the datasets +++++\\r\\n\\t\\tdsinfo[dsnm][\\\"fname\\\"] = ppath+fname\\r\\n\\r\\n\\r\\n\\treturn dsinfo\",\n \"def create_sets():\\n global train_x, train_y, val_x, val_y\\n\\n print('Creating sets')\\n\\n dataframe = pd.read_csv('LoggerBot.log', names=NAMES).sample(frac=1)\\n inputs = dataframe.values[:,:-1].astype(np.float32)\\n outputs = dataframe.values[:,-1].astype(np.int32)\\n\\n train_set_size = int(len(dataframe) * 0.7)\\n train_x, train_y = inputs[:train_set_size], outputs[:train_set_size]\\n val_x, val_y = inputs[train_set_size:], outputs[train_set_size:]\",\n \"def _make_meta(self):\\n available_meas_times = list()\\n available_intervals = list()\\n drill_by = list()\\n related = list()\\n last_data_set_instance = dict()\\n\\n if self._data['report_save_historical_instances_ind'] == 'Y':\\n # last measurement instance\\n res = self._db.Query(\\\"\\\"\\\"SELECT *\\n FROM report_data_set_instance\\n WHERE\\n `element_id`=%s\\n AND `segment_value_id` = %s\\n ORDER BY measurement_time DESC\\n LIMIT 0, 1\\\"\\\"\\\",(self._id, self._segment_value_id))\\n if res:\\n last_data_set_instance = self._db.record[0]\\n last_data_set_instance['measurement_time'] = self._formatter.format_date(last_data_set_instance['measurement_time'])\\n\\n # available measurement instances\\n res = self._db.Query(\\\"\\\"\\\"SELECT *\\n FROM report_data_set_instance\\n WHERE\\n `element_id`=%s\\n AND `segment_value_id` = %s\\n ORDER BY measurement_time DESC\\\"\\\"\\\",(self._id, self._segment_value_id))\\n if res:\\n for data_set_instance in self._db.record:\\n data_set_instance['measurement_time'] = self._formatter.format_date(data_set_instance['measurement_time'])\\n available_meas_times.append(data_set_instance)\\n \\n\\n # get drill by. not for this version\\n\\n # available measurement intervals\\n if self._data['report_primary_shared_dimension_id'] is None:\\n self._data['report_primary_shared_dimension_id'] = 0\\n\\n self._db.Query(\\\"\\\"\\\"\\n SELECT measurement_interval.*,\\n dashboard_element.element_id\\n FROM dashboard_element\\n LEFT JOIN measurement_interval\\n ON measurement_interval.measurement_interval_id = dashboard_element.measurement_interval_id\\n WHERE\\n (dashboard_element.`element_id`<>%s\\n AND dashboard_element.measurement_interval_id <> %s\\n AND dashboard_element.shared_measure_id = %s\\n AND dashboard_element.`type` = 'internal report'\\n AND ifnull(dashboard_element.report_used_for_drill_to_ind,'N') = %s\\n AND ifnull(dashboard_element.report_primary_shared_dimension_id,0) = %s\\n AND ifnull(dashboard_element.segment_id,0) = %s)\\n OR\\n dashboard_element.`element_id`=%s\\n AND 3=4\\n \\n GROUP BY measurement_interval.measurement_interval_id\\n ORDER BY\\n measurement_interval.display_sequence,\\n dashboard_element.name ASC\\n \\\"\\\"\\\",\\n (self._id,\\n self._data['measurement_interval_id'],\\n self._data['shared_measure_id'],\\n self._data['report_used_for_drill_to_ind'],\\n self._data['report_primary_shared_dimension_id'],\\n self._data['segment_id'],\\n self._id))\\n\\n\\n for interval in self._db.record:\\n interval['report_data_set_instance_id'] = 0\\n available_intervals.append(interval)\\n\\n # see related\\n self._db.Query(\\\"\\\"\\\"SELECT e.*\\n FROM dashboard_element_topic det, dashboard_element e\\n WHERE e.element_id = det.dashboard_element_id\\n AND dashboard_element_id <> %s\\n AND e.enabled_ind = 'Y'\\n AND topic_id IN (select topic_id from dashboard_element_topic where dashboard_element_id = %s)\\n UNION SELECT e.*\\n FROM dashboard_element e, metric_drill_to_report m\\n WHERE m.metric_element_id = e.element_id\\n AND m.report_element_id = %s\\n AND e.enabled_ind = 'Y'\\n AND ifnull(e.segment_id,0) = %s\\n \\\"\\\"\\\", (self._id, self._id, self._id, self._data['segment_id']))\\n \\n\\n for related_element in self._db.record:\\n if not related_element['segment_id']:\\n related_element['segment_id'] = 0\\n if related_element['segment_id'] == self._data['segment_id']:\\n related_element['segment_value_id'] = self._segment_value_id\\n else:\\n related_element['segment_value_id'] = 0\\n related.append(related_element)\\n\\n # elements displayed on the page\\n before_dataset = list()\\n after_dataset = list()\\n \\n charts_before_dataset = list()\\n charts_after_dataset = list()\\n \\n \\n # dataset table\\n dataset_el = OrderedDict()\\n dataset_el['element_id'] = ''\\n dataset_el['element_type'] = 'dataset'\\n dataset_el['element_name'] = ''\\n dataset_el['element_desc'] = ''\\n dataset_el['placement'] = ''\\n dataset_el['sequence'] = 0\\n dataset_el['show_ind'] = self._data['show_data_set_table_in_report_ind']\\n \\n \\n # charts\\n self._db.Query(\\\"\\\"\\\"SELECT *\\n FROM report_data_set_chart \\n WHERE \\n `element_id`= %s\\n AND \\n (ISNULL(report_data_set_pivot_id)\\n OR report_data_set_pivot_id = 0) \\n ORDER BY display_sequence ASC\\\"\\\"\\\", (self._id, ))\\n for chart in self._db.record:\\n chart_el = OrderedDict()\\n chart_el['element_id'] = chart['report_data_set_chart_id']\\n chart_el['element_type'] = 'chart'\\n chart_el['pivot_id'] = 0\\n if chart['report_data_set_pivot_id']:\\n chart_el['pivot_id'] = chart['report_data_set_pivot_id']\\n chart_el['element_name'] = chart['name']\\n chart_el['element_desc'] = chart['description']\\n chart_el['placement'] = chart['chart_placement']\\n chart_el['sequence'] = chart['display_sequence']\\n chart_el['show_ind'] = chart['enabled_ind']\\n if chart_el['placement'] == 'before table': \\n charts_before_dataset.append(chart_el)\\n else:\\n charts_after_dataset.append(chart_el)\\n \\n # pivots\\n self._db.Query(\\\"\\\"\\\"SELECT *\\n FROM report_data_set_pivot\\n WHERE\\n `element_id`= %s\\n ORDER BY display_sequence ASC\\\"\\\"\\\", (self._id, ))\\n for pivot in self._db.record:\\n before_pivot = list()\\n after_pivot = list()\\n #pivot_element = list()\\n \\n pivot_el = OrderedDict()\\n pivot_el['element_id'] = pivot['report_data_set_pivot_id']\\n pivot_el['element_type'] = 'pivot'\\n pivot_el['element_name'] = pivot['name']\\n pivot_el['element_desc'] = ''\\n pivot_el['placement'] = pivot['pivot_table_report_placement']\\n pivot_el['sequence'] = pivot['display_sequence']\\n pivot_el['show_ind'] = pivot['enabled_ind']\\n \\n # charts\\n self._db.Query(\\\"\\\"\\\"SELECT *\\n FROM report_data_set_chart \\n WHERE \\n `element_id`= %s\\n AND report_data_set_pivot_id = %s \\n ORDER BY display_sequence ASC\\\"\\\"\\\",\\n (self._id, pivot_el['element_id']))\\n for chart in self._db.record:\\n chart_el = OrderedDict()\\n chart_el['element_id'] = chart['report_data_set_chart_id']\\n chart_el['element_type'] = 'chart'\\n chart_el['pivot_id'] = 0\\n if chart['report_data_set_pivot_id']:\\n chart_el['pivot_id'] = chart['report_data_set_pivot_id']\\n chart_el['element_name'] = chart['name']\\n chart_el['element_desc'] = chart['description']\\n chart_el['placement'] = chart['chart_placement']\\n chart_el['sequence'] = chart['display_sequence']\\n chart_el['show_ind'] = chart['enabled_ind']\\n if chart_el['placement'] == 'before table': \\n before_pivot.append(chart_el)\\n else:\\n after_pivot.append(chart_el)\\n pivot_element = before_pivot + [pivot_el] + after_pivot \\n \\n if pivot_el['placement'] == 'before data set':\\n before_dataset += pivot_element\\n else:\\n after_dataset += pivot_element\\n elements = charts_before_dataset + before_dataset + [dataset_el] + after_dataset + charts_after_dataset\\n \\n \\n self._jfile.make_current_meta(last_data_set_instance,\\n available_meas_times,\\n available_intervals,\\n drill_by,\\n related,\\n elements,\\n self._segment_values)\",\n \"def _addCollections(self):\\n\\n self._colls = dict.fromkeys(self._listOfTargets)\\n self._collsNew = dict.fromkeys(self._listOfTargets)\\n self._collsMiss = dict.fromkeys(self._listOfTargets)\\n self._collsNoLink = dict.fromkeys(self._listOfTargets)\\n\\n for target in self._listOfTargets:\\n self._colls[target] = self._dbUtil.getCollection('XRD_' + self._baseColl[target])\\n self._collsNew[target] = self._dbUtil.getCollection('XRD_' + self._baseColl[target]+'_new')\\n self._collsMiss[target] = self._dbUtil.getCollection('XRD_' + self._baseColl[target]+'_missing')\\n self._collsNoLink[target] = self._dbUtil.getCollection('XRD_' + self._baseColl[target]+'_brokenLink')\\n\\n self._collDataServer = self._dbUtil.getCollection(\\\"XRD_DataServers\\\")\",\n \"def fill_dataset(self):\\n rm, rstd = self.get_rolling_stats()\\n\\n self.add_rolling_mean(rm)\\n self.add_bollinger_bands(rstd)\\n self.add_spy_info()\\n self.add_beta_and_sharpe()\\n self.add_stlouis_data()\",\n \"def create_data_structures(self):\\n # Data storage arrays for time and measurement\\n # Create the array of zeros and preallocating\\n start_time = time.time()\\n # The number of data points has to be optimized\\n self.data_points = 5000\\n # prs_data has three rows, 0 = time, 1 = pressure - tare, 2 = raw_pressure\\n self.prs_data = np.zeros([3, self.data_points])\\n self.prs_data[0, :] = start_time\\n # This queue receives data from the sensors and puts it in the graphs and sends to the \\n # LifoQueue\\n self.prs_q = Queue()\\n # The lifo queue is created to send the data to the piston control thread. The piston\\n # control will only read and use the last value, since only the most recent information\\n # matters\\n self.prs_lifo_q = LifoQueue()\\n self.prs_tare = 0\\n \\n self.flw_data = np.zeros([3, self.data_points])\\n self.flw_data[0, :] = start_time\\n self.flw_q = Queue()\\n self.flw_lifo_q = LifoQueue() # Read comment on the lifoqueue above\\n self.flw_tare = 0\\n\\n self.vol_lifo_q = LifoQueue() # Read comment on the lifoqueue above\\n self.vol_data = np.zeros([2, self.data_points])\\n self.vol_data[0, :] = start_time\",\n \"def test_createData():\\n\\n sys = LVsystem.Ecosystem()\\n\\n sys.addSpecies('rabbit')\\n sys.setInteraction('rabbit', 'hen', 0)\\n sys.setInteraction('rabbit', 'fox', -1)\\n sys.setInitialCond('rabbit', 30)\\n sys.setGrowthRate('rabbit', 0.09)\\n sys.setCarrCap('rabbit', 10000)\\n sys.setChangeRate('rabbit', 400)\\n\\n sys.addSpecies('hen')\\n sys.setInteraction('hen', 'rabbit', 0)\\n sys.setInteraction('hen', 'fox', -1)\\n sys.setInitialCond('hen', 10)\\n sys.setGrowthRate('hen', 0.07)\\n sys.setCarrCap('hen', 10000)\\n sys.setChangeRate('hen', 500)\\n\\n sys.addSpecies('fox')\\n sys.setInteraction('fox', 'rabbit', 1)\\n sys.setInteraction('fox', 'hen', 1)\\n sys.setInitialCond('fox', 20)\\n sys.setGrowthRate('fox', -0.06)\\n sys.setCarrCap('fox', 1)\\n sys.setChangeRate('fox', 250)\\n\\n \\n data = sys.create_data()\\n \\n assert data[0] == 3\\n assert data[1] == ['rabbit', 'hen', 'fox']\\n assert data[2] == [30,10,20]\\n assert data[3] == [0.09,0.07,-0.06] \\n assert data[4] == [10000,10000,1]\\n assert data[5] == [400,500,250]\\n assert data[6][1][2] == -data[6][2][1]\\n assert data[6][2][2] == 0\\n \\n sys.removeSpecies('rabbit')\\n sys.removeSpecies('fox')\\n sys.removeSpecies('hen')\",\n \"def initialize_data(self , station = '', datasets = {} ): \\n self.datasets = datasets\\n self.datasets_keys = datasets.keys()\\n self.station = station\\n self.out_name = self.out_dir + '/' + self.station + '_CEUAS_premerged_v0.nc'\\n\\n self.observations_table_vars = ['date_time', 'z_coordinate' , 'z_coordinate_type', 'observed_variable' , 'observation_value' , 'report_id' , 'observation_id' , 'latitude' , 'longitude', 'units', 'source_id']\\n\\n \\\"\\\"\\\" Loading the econding of the tables created from the harvester script and to be applied again \\\"\\\"\\\"\\n self.encodings = np.load('groups_encodings.npy' , allow_pickle = True ).item()\\n self.encodings['era5fb'] = np.load('era5fb_encodings_all.npy' , allow_pickle = True ).item() \\n self.dic_type_attributes = np.load('dic_type_attributes.npy',allow_pickle= True).item()\\n \\n self.era5fb_columns = self.dic_type_attributes['era5fb'].keys()\\n\\n self.obstab_nans_filled = False \\n\\n data['cdm_tables'] = {} \\n \\n \\\"\\\"\\\" Loop over all the datasets \\n k: name of the dataset \\n v: list of file paths, eg 'era5_1':[filepath_1, filepath_2 ] \\\"\\\"\\\" \\n for k,v in self.datasets.items() :\\n data[k] = {}\\n for F in v:\\n \\n logging.info(' Dataset ::: *** %s %s ' , k , F ) \\n \\n data[k][F] = {}\\n\\n h5py_file = h5py.File(F, 'r')\\n data[k][F]['h5py_file'] = h5py_file \\n \\n a = h5py_file['recordtimestamp']\\n \\n data[k][F]['recordtimestamp'] = a\\n data[k][F]['recordindex'] = h5py_file['recordindex']\\n data[k][F]['dateindex'] = h5py_file['dateindex']\\n a = h5py_file['recordtimestamp']\\n data[k][F]['max_date'] = max(a)\\n data[k][F]['min_date'] = min(a)\\n \\n data[k][F]['counter'] = 0\\n\\n #######\\n # HEADER TABLE\\n #######\\n head_tab = h5py_file['header_table']\\n logging.info('*** header_table')\\n data[k][F]['header_table'] = {}\\n for var in head_tab.keys():\\n if ('string' in var or 'hdrlen' in var): continue\\n try: \\n data[k][F]['header_table'][var] = (np.array(head_tab[var][:])).astype(self.dic_type_attributes['header_table'][var]['type'] )\\n except:\\n print('failed convertion type header' , k , ' ' , F , ' ' , var )\\n \\n ####### \\n # STATION CONFIGURATION\\n ####### \\n d = xr.open_dataset(F , engine = 'h5netcdf' , group = 'station_configuration' , decode_times = False )\\n data[k][F]['station_configuration'] = d.to_dataframe()\\n logging.debug('Done with %s station_configuration' , str(k) )\\n d.close()\\n\\n ####### \\n # SOURCE CONFIGURATION \\n ####### \\n d = xr.open_dataset(F , engine = 'h5netcdf' , group = 'source_configuration' , decode_times = False )\\n data[k][F]['source_configuration'] = d\\n logging.debug('Done with %s source_configuration' , str(k) )\\n d.close()\\n\\n\\n data['cdm_tables'] = {}\\n \\\"\\\"\\\" Reading the CDM tables that do not depend on specific stations or observations (fixed values), for the first file only \\\"\\\"\\\"\\n for t in self.standard_cdm: # [ 'crs' , 'observed_variable', 'units' , 'z_coordinate_type' , 'station_type', 'station_configuration_codes'] \\n if t not in data['cdm_tables'].keys():\\n #data['cdm_tables'][t] = ''\\n cdm = xr.open_dataset(F , engine = 'h5netcdf' , group = t )\\n data['cdm_tables'][t] = cdm \\n\\n print(blue + 'Memory used after reading data: ', process.memory_info().rss/1000000000 , cend)\\n\\n self.data = data\\n\\n \\\"\\\"\\\" Making all date_times \\\"\\\"\\\"\\n self.make_all_datetime()\",\n \"def gen_compute_data(self):\\n\\n print \\\"\\\\t* Generating combined nova and neutron data\\\"\\n self.init_compute_clients()\\n self.compute_data[\\\"heat_template_version\\\"] = \\\"2013-05-23\\\"\\n self.compute_data[\\\"description\\\"] = \\\"Generated Template %s on Project %s\\\" % \\\\\\n (str(datetime.datetime.now().strftime(\\\"%A, %d. %B %Y %I:%M%p\\\")), str(self.tenant_name))\\n self.compute_data[\\\"parameters\\\"] = {}\\n self.compute_data[\\\"resources\\\"] = {}\\n self.gen_parameters()\\n self.gen_resources()\\n self.compute_template = self.compute_data\",\n \"def set_up_file(ds, total_sites, footprint_nbins,\\n dimy, dimx, wrf_out, time_unit, site_names):\\n if site_names.dtype.str[1] not in \\\"SU\\\":\\n site_names = site_names.astype(\\\"S\\\")\\n if site_names.dtype.str[2:] != \\\"1\\\":\\n site_names = netCDF4.stringtochar(site_names)\\n name_length = site_names.shape[-1]\\n name_str_dim = \\\"string{len:d}\\\".format(len=name_length)\\n\\n ds.createDimension(\\\"observation_time\\\", 0)\\n ds.createDimension(\\\"site\\\", total_sites)\\n ds.createDimension(\\\"time_before_observation\\\", footprint_nbins)\\n ds.createDimension(\\\"dim_y\\\", dimy)\\n ds.createDimension(\\\"dim_x\\\", dimx)\\n ds.createDimension(\\\"bnds2\\\", 2)\\n ds.createDimension(name_str_dim, name_length)\\n\\n obs_time_var = ds.createVariable(\\\"observation_time\\\", \\\"f4\\\",\\n (\\\"observation_time\\\",))\\n obs_time_bounds_var = ds.createVariable(\\\"observation_time_bnds\\\", \\\"f4\\\",\\n (\\\"observation_time\\\", \\\"bnds2\\\"))\\n time_back_var = ds.createVariable(\\\"time_before_observation\\\", \\\"i2\\\",\\n (\\\"time_before_observation\\\",))\\n time_back_bounds_var = ds.createVariable(\\n \\\"time_before_observation_bnds\\\", \\\"i2\\\",\\n (\\\"time_before_observation\\\", \\\"bnds2\\\"))\\n ds.createVariable(\\\"dim_y\\\", \\\"f4\\\", (\\\"dim_y\\\",))\\n ds.createVariable(\\\"dim_y_bnds\\\", \\\"f4\\\", (\\\"dim_y\\\", \\\"bnds2\\\"))\\n ds.createVariable(\\\"dim_x\\\", \\\"f4\\\", (\\\"dim_x\\\",))\\n ds.createVariable(\\\"dim_x_bnds\\\", \\\"f4\\\", (\\\"dim_x\\\", \\\"bnds2\\\"))\\n\\n grid_mapping = create_grid_mapping(ds, wrf_out)\\n\\n site_name_var = ds.createVariable(\\\"site_names\\\", \\\"S1\\\",\\n (\\\"site\\\", name_str_dim))\\n # these are roughly 1MB for a three-week lag\\n flux_time_var = ds.createVariable(\\n \\\"flux_time\\\", \\\"f4\\\", (\\\"observation_time\\\", \\\"time_before_observation\\\"),\\n fill_value=-255,\\n zlib=True)\\n flux_time_bounds_var = ds.createVariable(\\n \\\"flux_time_bnds\\\", \\\"f4\\\",\\n (\\\"observation_time\\\", \\\"time_before_observation\\\", \\\"bnds2\\\"),\\n fill_value=-255,\\n zlib=True)\\n\\n height_var = ds.createVariable(\\\"height\\\", \\\"f4\\\", ())\\n height_bounds_var = ds.createVariable(\\\"height_bnds\\\", \\\"f4\\\", (\\\"bnds2\\\",))\\n\\n infl_fun_var = ds.createVariable(\\n # Empirically, the most particles seen in a grid cell is\\n # around 5e3. 35*180 particles/obs_time, 9 files/flux_time on 81km grid\\n # We have a factor of six wiggle room with i2\\n # u2 may be necessary for 3 hourly 243 km fluxes\\n # or more particles/obs_time0\\n \\\"H\\\", \\\"i2\\\",\\n (\\\"observation_time\\\", \\\"site\\\", \\\"time_before_observation\\\",\\n \\\"dim_y\\\", \\\"dim_x\\\"),\\n zlib=True,\\n # This will be written and read by flux time, usually,\\n # so that chunksize should be 1\\n # not sure if chunk should be total_sites or 1 for site dimension\\n # total_size gives a chunk as around 5.3 MiB\\n # setting this to 1 may help with file size\\n # if some towers were not run all the time\\n # NUG has default chunk size of 4 MiB\\n # (roughly a disk read on a high-end system)\\n chunksizes=(1, total_sites, 1, dimy, dimx),\\n # This requires that every cell be written to.\\n # This is my intent, and this (as opposed to fill_value=0)\\n # will not have troubles with masking most of the domain.\\n # Make sure this isn't what's inflating the size\\n fill_value=-1,\\n )\\n\\n lpdm_opts = ds.createVariable(\\\"lpdm_configuration\\\", \\\"i1\\\", ())\\n lpdm_opts.setncatts({key: netcdf_compatible_array(config[key]).copy()\\n for key in config.dtype.fields.keys()\\n if key.islower()})\\n\\n wrf_opts = ds.createVariable(\\\"wrf_configuration\\\", \\\"i1\\\", ())\\n with contextlib.closing(netCDF4.Dataset(\\n config[\\\"wrf_file\\\"][0].decode(\\\"ascii\\\"))) as wrf_ds:\\n wrf_opts.setncatts({att: wrf_ds.getncattr(att)\\n for att in wrf_ds.ncattrs()})\\n\\n ########################################################\\n\\n obs_time_var.setncatts(dict(long_name=\\\"observation_time\\\",\\n # not entirely sure this applies...\\n standard_name=\\\"forecast_reference_time\\\",\\n bounds=\\\"observation_time_bnds\\\",\\n units=time_unit,\\n calendar=CALENDAR,\\n coverage_content_type=\\\"coordinate\\\",\\n # might be a misapplication of CF 9.5\\n cf_role=\\\"timeseries_id\\\"))\\n obs_time_bounds_var.setncatts(dict(long_name=\\\"observation_time_bounds\\\",\\n units=time_unit,\\n calendar=CALENDAR))\\n\\n time_back_var.setncatts(dict(long_name=\\\"time_before_observation\\\",\\n standard_name=\\\"forecast_period\\\",\\n units=\\\"hours\\\",\\n bounds=\\\"time_before_observation_bnds\\\",\\n coverage_content_type=\\\"coordinate\\\",\\n ))\\n time_back_bounds_var.setncatts(dict(\\n description=\\\"bounds of time_before_observation\\\",\\n units=\\\"hours\\\"))\\n\\n flux_time_var.setncatts(dict(\\n long_name=\\\"flux_time\\\",\\n standard_name=\\\"time\\\",\\n bounds=\\\"flux_time_bnds\\\",\\n units=time_unit,\\n calendar=CALENDAR,\\n coverage_content_type=\\\"coordinate\\\",\\n ))\\n flux_time_bounds_var.setncatts(dict(\\n long_name=\\\"flux_time\\\",\\n units=time_unit,\\n calendar=CALENDAR,\\n ))\\n\\n infl_fun_var.setncatts(dict(\\n long_name=\\\"influence_function\\\",\\n description=(\\\"linearisation of the observation operator \\\"\\n \\\"for carbon dioxide mixing ratios at the \\\"\\n \\\"towers in terms of carbon dioxide mass fluxes\\\"),\\n units=\\\"ppmv/(mol.m^-2.s^-1)\\\",\\n long_units=\\\"ppmv/(mol_CO2.m^-2.s^-1)\\\",\\n coordinates=(\\\"flux_time height latitude longitude \\\"\\n \\\"site_names site_heights site_lats site_lons\\\"),\\n # I don't think we can justify more than six or so digits\\n # of precision. The transport is too uncertain.\\n # The underlying int type doesn't support more than five.\\n # The increased locality should also speed up use.\\n scale_factor=np.array(CONVERSION_FACTOR, dtype=np.float32),\\n grid_mapping=grid_mapping,\\n valid_min=np.array(0, dtype=infl_fun_var.dtype),\\n # description of coordinate relationships\\n cell_methods=(\\n # not entirely sure if space and obs time should be in\\n # same sum. The two times are another possible\\n # combination.\\n \\\"height: dim_y: dim_x: sum \\\"\\n \\\"observation_time: sum \\\"\\n \\\"(interval: {lpdm_timestep:f} seconds) \\\"\\n \\\"site: point \\\"\\n # this sum is done later than the others\\n \\\"flux_time: sum \\\"\\n \\\"(interval: {minutes_per_file:d} minutes)\\\"\\n \\\"\\\").format(minutes_per_file=(MINUTES_PER_HOUR //\\n int(config[\\\"num_file_per_h\\\"])),\\n lpdm_timestep=float(config[\\\"lpdm_timestep\\\"])),\\n # What type of thing this is:\\n coverage_content_type=\\\"modelResult\\\",\\n ))\\n # I want to store the counts directly\\n infl_fun_var.set_auto_maskandscale(False)\\n\\n site_lats_var = ds.createVariable(\\\"site_lats\\\", \\\"f4\\\", (\\\"site\\\",))\\n site_lons_var = ds.createVariable(\\\"site_lons\\\", \\\"f4\\\", (\\\"site\\\",))\\n site_heights_var = ds.createVariable(\\\"site_heights\\\", \\\"f4\\\", (\\\"site\\\",))\\n site_lats_var.setncatts(dict(\\n units=\\\"degrees_north\\\", standard_name=\\\"latitude\\\",\\n long_name=\\\"site_latitude\\\",\\n coverage_content_type=\\\"coordinate\\\",\\n description=\\\"latitude of the observation tower site\\\",\\n origin=\\\"Set in LPD run script\\\"))\\n site_lons_var.setncatts(dict(\\n units=\\\"degrees_east\\\", standard_name=\\\"longitude\\\",\\n long_name=\\\"site_longitude\\\",\\n coverage_content_type=\\\"coordinate\\\",\\n description=\\\"longitude of the observation tower site\\\",\\n origin=\\\"Set in LPD run script\\\"))\\n site_name_var.setncatts(dict(\\n long_name=\\\"name_of_observation_site\\\",\\n # most likely an abuse of CF section 9.5\\n # cf_role=\\\"trajectory_id\\\"\\n coverage_content_type=\\\"referenceInformation\\\",\\n ))\\n site_heights_var.setncatts(dict(\\n standard_name=\\\"height\\\",\\n long_name=\\\"site_heights\\\",\\n description=\\\"height of the observation tower intake\\\",\\n origin=\\\"Set in LPD run script\\\",\\n coverage_content_type=\\\"coordinate\\\",\\n positive=\\\"up\\\",\\n units=\\\"m\\\"))\\n\\n height_var.setncatts(dict(\\n standard_name=\\\"height\\\",\\n long_name=\\\"flux_influence_height\\\",\\n description=(\\\"How low the particles have to be \\\"\\n \\\"to be \\\\\\\"influenced\\\\\\\" by the ground\\\"),\\n origin=\\\"Constant CLOSE_TO_GROUND in carsurf_loop.py\\\",\\n coverage_content_type=\\\"referenceInformation\\\",\\n positive=\\\"up\\\",\\n units=\\\"km\\\", bounds=\\\"height_bnds\\\"))\\n height_bounds_var.setncatts(dict(\\n long_name=\\\"height_bounds\\\",\\n units=\\\"km\\\"))\\n\\n # pretty sure this fails somewhat badly at encapsulization\\n set_coord_values(ds, wrf_out, footprint_nbins)\\n site_name_var[:] = site_names\\n\\n return infl_fun_var\",\n \"def _init_system(*args):\\n __set_time_elements(args[0], args[1])\\n __set_control_elements(args[0], args[2], args[3])\\n __set_sensor_elements(args[0], args[4], args[5], args[6], args[7])\",\n \"def generate_timeseries(data_list, setname=\\\"MagneticFields\\\"):\\n full_data = TimeSeriesList()\\n for seg in sorted(data_list):\\n hfile = h5py.File(data_list[seg], \\\"r\\\")\\n full_data.append(retrieve_data_timeseries(hfile, \\\"MagneticFields\\\"))\\n hfile.close()\\n return full_data\",\n \"def CollectDatasets(redirector_str):\\n \\n \\n # uploadDir = 'srv/' for lpcjobqueue shell or TTbarAllHadUproot/ for coffea casa and WinterFell\\n \\n if 'cmsxrootd' in redirector_str:\\n uploadDir = 'srv'\\n else:\\n uploadDir = 'TTbarAllHadUproot'\\n \\n uploadDir = ''\\n \\n filedir = 'nanoAODv9Files/'\\n Years = ['UL16', 'UL17', 'UL18']\\n VFP = ['preVFP', 'postVFP'] # preVFP unavailable in Winterfell for the moment\\n # VFP = ['postVFP'] # Only for simple test in WinterFell\\n filesets = {} # To be filled and returned by this function\\n \\n # ---- Before concatenation with +=, lists should be declard ---- # \\n \\n for y in Years:\\n if '16' in y:\\n for v in VFP:\\n filesets[y+v+'_QCD'] = []\\n filesets[y+v+'_TTbar_700_1000'] = []\\n filesets[y+v+'_TTbar_1000_Inf'] = []\\n # ---- JetHT and SingleMu ---- #\\n for l in ['', 'B', 'C', 'D', 'E', 'F']:\\n filesets[y+'preVFP_JetHT'+l+'_Data'] = []\\n filesets[y+'preVFP_SingleMu'+l+'_Data'] = []\\n for l in ['', 'F', 'G', 'H']:\\n filesets[y+'postVFP_JetHT'+l+'_Data'] = []\\n filesets[y+'postVFP_SingleMu'+l+'_Data'] = []\\n \\n \\n elif '17' in y:\\n filesets[y+'postVFP_QCD'] = []\\n filesets[y+'postVFP_TTbar'] = []\\n for l in ['', 'B', 'C', 'D', 'E', 'F']:\\n filesets[y+'postVFP_JetHT'+l+'_Data'] = []\\n filesets[y+'postVFP_SingleMu'+l+'_Data'] = []\\n \\n else:\\n filesets[y+'postVFP_QCD'] = []\\n filesets[y+'postVFP_TTbar'] = []\\n for l in ['', 'A', 'B', 'C', 'D']:\\n filesets[y+'postVFP_JetHT'+l+'_Data'] = []\\n filesets[y+'postVFP_SingleMu'+l+'_Data'] = []\\n \\n # ---- Loop through years and VFP status, filling the filesets dictionary with the MC file locations from corresponding txt files ---- #\\n \\n for y in Years:\\n if '16' in y:\\n for v in VFP:\\n # ---- QCD ---- #\\n ulqcdfilename = filedir + 'QCD/QCD_NanoAODv9_' + y + '_' + v + '.txt'\\n with open(ulqcdfilename) as f:\\n ulqcdfiles = [redirector_str + s.strip() for s in f.readlines() if not s.startswith('#')]\\n filesets[y+v+'_QCD'] += ulqcdfiles\\n \\n # ---- TTbar ---- #\\n ulttbar700to1000filename = filedir + 'TT/TT_Mtt-700to1000_NanoAODv9_' + y + '_' + v + '.txt'\\n with open(ulttbar700to1000filename) as f:\\n ulttbar700to1000files = [redirector_str + s.strip() for s in f.readlines() if not s.startswith('#')]\\n ulttbar1000toInffilename = filedir + 'TT/TT_Mtt-1000toInf_NanoAODv9_' + y + '_' + v + '.txt'\\n with open(ulttbar1000toInffilename) as f:\\n ulttbar1000toInffiles = [redirector_str + s.strip() for s in f.readlines() if not s.startswith('#')]\\n filesets[y+v+'_TTbar_700_1000'] += ulttbar700to1000files\\n filesets[y+v+'_TTbar_1000_Inf'] += ulttbar1000toInffiles\\n \\n # ---- JetHT ---- #\\n datafilelist = os.listdir(filedir + 'JetHT/')\\n for filename in datafilelist:\\n if 'pre' in v:\\n if 'Run2016' in filename: #preVFP\\n with open(filedir + 'JetHT/' + filename) as f:\\n jetdatafiles2016 = [redirector_str + s.strip() for s in f.readlines() if ('HIPM' in s and not s.startswith('#'))] \\n filesets[y+v+'_JetHT_Data'] += jetdatafiles2016 \\n elif 'post' in v:\\n if 'Run2016' in filename: #postVFP\\n with open(filedir + 'JetHT/' + filename) as f:\\n jetdatafiles2016 = [redirector_str + s.strip() for s in f.readlines() if ('HIPM' not in s and not s.startswith('#'))] \\n filesets[y+v+'_JetHT_Data'] += jetdatafiles2016\\n \\n # ---- Z' Dark Matter Mediator ---- #\\n ulZprimeDMfilename = filedir + 'ZprimeDMToTTbar/ZprimeDMToTTbar_NanoAODv9_' + y + '_' + v + '.txt'\\n ulDMfiles=[]\\n k=0\\n for i in range(1000, 5500, 500):\\n with open(ulZprimeDMfilename) as f:\\n ulDMfiles.append([redirector_str + s.strip() for s in f.readlines() if (\\\"ResoIncl_MZp\\\"+str(i) in s and not s.startswith('#'))])\\n filesets[y+v+'_DM'+str(i)] = ulDMfiles[k]\\n k += 1\\n \\n# # ---- RS KK Gluon ---- #\\n# ulRSGluonfilename = filedir + 'RSGluonToTT/RSGluonToTT_NanoAODv9_' + y + '_' + v + '.txt'\\n# ulRSGluonfiles=[]\\n# l=0\\n# for i in range(1000, 5500, 500):\\n# with open(ulRSGluonfilename) as f:\\n# ulRSGluonfiles.append([redirector_str + s.strip() for s in f.readlines() if (\\\"RSGluonToTT_M-\\\"+str(i) in s and not s.startswith('#'))])\\n# filesets[y+v+'_RSGluon'+str(i)] += ulRSGluonfiles[l]\\n# l += 1\\n \\n else: # UL17 and UL18\\n v = VFP[1] # No preVFP after 2016 Run vertex problem was fixed\\n \\n # ---- QCD ---- #\\n ulqcdfilename = filedir + 'QCD/QCD_NanoAODv9_' + y + '_' + v + '.txt'\\n with open(ulqcdfilename) as f:\\n ulqcdfiles = [redirector_str + s.strip() for s in f.readlines() if not s.startswith('#')]\\n filesets[y+v+'_QCD'] += ulqcdfiles\\n\\n# # ---- TTbar ---- #\\n# ulttbar700to1000filename = filedir + 'TT/TT_Mtt-700to1000_NanoAODv9_' + y + '_' + v + '.txt'\\n# with open(ulttbar700to1000filename) as f:\\n# ulttbar700to1000files = [redirector_str + s.strip() for s in f.readlines() if not s.startswith('#')]\\n# ulttbar1000toInffilename = filedir + 'TT/TT_Mtt-1000toInf_NanoAODv9_' + y + '_' + v + '.txt'\\n# with open(ulttbar1000toInffilename) as f:\\n# ulttbar1000toInffiles = [redirector_str + s.strip() for s in f.readlines() if not s.startswith('#')]\\n# filesets[y+v+'_TTbar_700_1000'] += ulttbar700to1000files\\n# filesets[y+v+'_TTbar_1000_Inf'] += ulttbar1000toInffiles\\n \\n # ---- JetHT ---- #\\n datafilelist = os.listdir(filedir + 'JetHT/')\\n for filename in datafilelist: \\n if 'Run2017' in filename: #postVFP\\n with open(filedir + 'JetHT/' + filename) as f:\\n jetdatafiles2017 = [redirector_str + s.strip() for s in f.readlines() if (not s.startswith('#'))] \\n filesets[y+v+'_JetHT_Data'] += jetdatafiles2017\\n elif 'Run2018' in filename: #postVFP\\n with open(filedir + 'JetHT/' + filename) as f:\\n jetdatafiles2018 = [redirector_str + s.strip() for s in f.readlines() if (not s.startswith('#'))] \\n filesets[y+v+'_JetHT_Data'] += jetdatafiles2018\\n\\n # ---- Z' Dark Matter Mediator ---- #\\n ulZprimeDMfilename = filedir + 'ZprimeDMToTTbar/ZprimeDMToTTbar_NanoAODv9_' + y + '_' + v + '.txt'\\n ulDMfiles=[]\\n k=0\\n for i in range(1000, 5500, 500):\\n with open(ulZprimeDMfilename) as f:\\n ulDMfiles.append([redirector_str + s.strip() for s in f.readlines() if (\\\"ResoIncl_MZp\\\"+str(i) in s and not s.startswith('#'))])\\n filesets[y+v+'_DM'+str(i)] = ulDMfiles[k]\\n k += 1\\n \\n # ---- RS KK Gluon ---- #\\n ulRSGluonfilename = filedir + 'RSGluonToTT/RSGluonToTT_NanoAODv9_' + y + '_' + v + '.txt'\\n ulRSGluonfiles=[]\\n l=0\\n for i in range(1000, 5500, 500):\\n with open(ulRSGluonfilename) as f:\\n ulRSGluonfiles.append([redirector_str + s.strip() for s in f.readlines() if (\\\"RSGluonToTT_M-\\\"+str(i) in s and not s.startswith('#'))])\\n filesets[y+v+'_RSGluon'+str(i)] = ulRSGluonfiles[l]\\n l += 1\\n \\n \\n # ---- JetHT Eras---- #\\n \\n datafilelist = os.listdir(filedir + 'JetHT/')\\n for filename in datafilelist:\\n \\n if 'Run2016B' in filename:\\n with open(filedir + 'JetHT/' + filename) as b:\\n jetdatafiles2016b = [redirector_str + s.strip() for s in b.readlines() if not s.startswith('#')] \\n filesets['UL16preVFP_JetHTB_Data'] += jetdatafiles2016b\\n elif 'Run2016C' in filename:\\n with open(filedir + 'JetHT/' + filename) as c:\\n jetdatafiles2016c = [redirector_str + s.strip() for s in c.readlines() if not s.startswith('#')] \\n filesets['UL16preVFP_JetHTC_Data'] += jetdatafiles2016c\\n elif 'Run2016D' in filename:\\n with open(filedir + 'JetHT/' + filename) as d:\\n jetdatafiles2016d = [redirector_str + s.strip() for s in d.readlines() if not s.startswith('#')] \\n filesets['UL16preVFP_JetHTD_Data'] += jetdatafiles2016d\\n elif 'Run2016E' in filename:\\n with open(filedir + 'JetHT/' + filename) as e:\\n jetdatafiles2016e = [redirector_str + s.strip() for s in e.readlines() if not s.startswith('#')] \\n filesets['UL16preVFP_JetHTE_Data'] += jetdatafiles2016e\\n elif 'Run2016F' in filename:\\n with open(filedir + 'JetHT/' + filename) as fold:\\n jetdatafiles2016fold = [redirector_str + s.strip() for s in fold.readlines() if ('HIPM' in s and not s.startswith('#'))]\\n with open(filedir + 'JetHT/' + filename) as fnew:\\n jetdatafiles2016fnew = [redirector_str + s.strip() for s in fnew.readlines() if ('HIPM' not in s and not s.startswith('#'))]\\n filesets['UL16preVFP_JetHTF_Data'] += jetdatafiles2016fold\\n filesets['UL16postVFP_JetHTF_Data'] += jetdatafiles2016fnew\\n elif 'Run2016G' in filename:\\n with open(filedir + 'JetHT/' + filename) as g:\\n jetdatafiles2016g = [redirector_str + s.strip() for s in g.readlines() if not s.startswith('#')] \\n filesets['UL16postVFP_JetHTG_Data'] += jetdatafiles2016g\\n elif 'Run2016H' in filename:\\n with open(filedir + 'JetHT/' + filename) as h:\\n jetdatafiles2016h = [redirector_str + s.strip() for s in h.readlines() if not s.startswith('#')] \\n filesets['UL16postVFP_JetHTH_Data'] += jetdatafiles2016h\\n \\n if 'Run2017B' in filename:\\n with open(filedir + 'JetHT/' + filename) as b:\\n jetdatafiles2017b = [redirector_str + s.strip() for s in b.readlines()[::3] if not s.startswith('#')] \\n filesets['UL17postVFP_JetHTB_Data'] += jetdatafiles2017b\\n elif 'Run2017C' in filename:\\n with open(filedir + 'JetHT/' + filename) as c:\\n jetdatafiles2017c = [redirector_str + s.strip() for s in c.readlines()[::3] if not s.startswith('#')] \\n filesets['UL17postVFP_JetHTC_Data'] += jetdatafiles2017c\\n elif 'Run2017D' in filename:\\n with open(filedir + 'JetHT/' + filename) as d:\\n jetdatafiles2017d = [redirector_str + s.strip() for s in d.readlines()[::3] if not s.startswith('#')] \\n filesets['UL17postVFP_JetHTD_Data'] += jetdatafiles2017d\\n elif 'Run2017E' in filename:\\n with open(filedir + 'JetHT/' + filename) as e:\\n jetdatafiles2017e = [redirector_str + s.strip() for s in e.readlines()[::3] if not s.startswith('#')] \\n filesets['UL17postVFP_JetHTE_Data'] += jetdatafiles2017e\\n elif 'Run2017F' in filename:\\n with open(filedir + 'JetHT/' + filename) as f:\\n jetdatafiles2017f = [redirector_str + s.strip() for s in f.readlines()[::3] if not s.startswith('#')] \\n filesets['UL17postVFP_JetHTF_Data'] += jetdatafiles2017f\\n \\n if 'Run2018A' in filename:\\n with open(filedir + 'JetHT/' + filename) as a:\\n jetdatafiles2018a = [redirector_str + s.strip() for s in a.readlines()[::3] if not s.startswith('#')] \\n filesets['UL18postVFP_JetHTA_Data'] += jetdatafiles2018a\\n elif 'Run2018B' in filename:\\n with open(filedir + 'JetHT/' + filename) as b:\\n jetdatafiles2018b = [redirector_str + s.strip() for s in b.readlines()[::3] if not s.startswith('#')] \\n filesets['UL18postVFP_JetHTB_Data'] += jetdatafiles2018b\\n elif 'Run2018C' in filename:\\n with open(filedir + 'JetHT/' + filename) as c:\\n jetdatafiles2018c = [redirector_str + s.strip() for s in c.readlines()[::3] if not s.startswith('#')] \\n filesets['UL18postVFP_JetHTC_Data'] += jetdatafiles2018c\\n elif 'Run2018D' in filename:\\n with open(filedir + 'JetHT/' + filename) as d:\\n jetdatafiles2018d = [redirector_str + s.strip() for s in d.readlines()[::3] if not s.startswith('#')] \\n filesets['UL18postVFP_JetHTD_Data'] += jetdatafiles2018d\\n \\n\\n \\n # ---- Single Muon ---- #\\n datafilelist = os.listdir(filedir + 'SingleMu/')\\n for filename in datafilelist:\\n \\n if 'Run2016B' in filename:\\n with open(filedir + 'SingleMu/' + filename) as b:\\n jetdatafiles2016b = [redirector_str + s.strip() for s in b.readlines() if not s.startswith('#')] \\n filesets['UL16preVFP_SingleMuB_Data'] += jetdatafiles2016b\\n elif 'Run2016C' in filename:\\n with open(filedir + 'SingleMu/' + filename) as c:\\n jetdatafiles2016c = [redirector_str + s.strip() for s in c.readlines() if not s.startswith('#')] \\n filesets['UL16preVFP_SingleMuC_Data'] += jetdatafiles2016c\\n elif 'Run2016D' in filename:\\n with open(filedir + 'SingleMu/' + filename) as d:\\n jetdatafiles2016d = [redirector_str + s.strip() for s in d.readlines() if not s.startswith('#')] \\n filesets['UL16preVFP_SingleMuD_Data'] += jetdatafiles2016d\\n elif 'Run2016E' in filename:\\n with open(filedir + 'SingleMu/' + filename) as e:\\n jetdatafiles2016e = [redirector_str + s.strip() for s in e.readlines() if not s.startswith('#')] \\n filesets['UL16preVFP_SingleMuE_Data'] += jetdatafiles2016e\\n elif 'Run2016F' in filename:\\n with open(filedir + 'SingleMu/' + filename) as fold:\\n jetdatafiles2016fold = [redirector_str + s.strip() for s in fold.readlines() if ('HIPM' in s and not s.startswith('#'))]\\n with open(filedir + 'SingleMu/' + filename) as fnew:\\n jetdatafiles2016fnew = [redirector_str + s.strip() for s in fnew.readlines() if ('HIPM' not in s and not s.startswith('#'))]\\n filesets['UL16preVFP_SingleMuF_Data'] += jetdatafiles2016fold\\n filesets['UL16postVFP_SingleMuF_Data'] += jetdatafiles2016fnew\\n elif 'Run2016G' in filename:\\n with open(filedir + 'SingleMu/' + filename) as g:\\n jetdatafiles2016g = [redirector_str + s.strip() for s in g.readlines() if not s.startswith('#')] \\n filesets['UL16postVFP_SingleMuG_Data'] += jetdatafiles2016g\\n elif 'Run2016H' in filename:\\n with open(filedir + 'SingleMu/' + filename) as h:\\n jetdatafiles2016h = [redirector_str + s.strip() for s in h.readlines() if not s.startswith('#')] \\n filesets['UL16postVFP_SingleMuH_Data'] += jetdatafiles2016h\\n \\n if 'Run2017B' in filename:\\n with open(filedir + 'SingleMu/' + filename) as b:\\n jetdatafiles2017b = [redirector_str + s.strip() for s in b.readlines()[::3] if not s.startswith('#')] \\n filesets['UL17postVFP_SingleMuB_Data'] += jetdatafiles2017b\\n elif 'Run2017C' in filename:\\n with open(filedir + 'SingleMu/' + filename) as c:\\n jetdatafiles2017c = [redirector_str + s.strip() for s in c.readlines()[::3] if not s.startswith('#')] \\n filesets['UL17postVFP_SingleMuC_Data'] += jetdatafiles2017c\\n elif 'Run2017D' in filename:\\n with open(filedir + 'SingleMu/' + filename) as d:\\n jetdatafiles2017d = [redirector_str + s.strip() for s in d.readlines()[::3] if not s.startswith('#')] \\n filesets['UL17postVFP_SingleMuD_Data'] += jetdatafiles2017d\\n elif 'Run2017E' in filename:\\n with open(filedir + 'SingleMu/' + filename) as e:\\n jetdatafiles2017e = [redirector_str + s.strip() for s in e.readlines()[::3] if not s.startswith('#')] \\n filesets['UL17postVFP_SingleMuE_Data'] += jetdatafiles2017e\\n elif 'Run2017F' in filename:\\n with open(filedir + 'SingleMu/' + filename) as f:\\n jetdatafiles2017f = [redirector_str + s.strip() for s in f.readlines()[::3] if not s.startswith('#')] \\n filesets['UL17postVFP_SingleMuF_Data'] += jetdatafiles2017f\\n \\n if 'Run2018A' in filename:\\n with open(filedir + 'SingleMu/' + filename) as a:\\n jetdatafiles2018a = [redirector_str + s.strip() for s in a.readlines()[::3] if not s.startswith('#')] \\n filesets['UL18postVFP_SingleMuA_Data'] += jetdatafiles2018a\\n elif 'Run2018B' in filename:\\n with open(filedir + 'SingleMu/' + filename) as b:\\n jetdatafiles2018b = [redirector_str + s.strip() for s in b.readlines()[::3] if not s.startswith('#')] \\n filesets['UL18postVFP_SingleMuB_Data'] += jetdatafiles2018b\\n elif 'Run2018C' in filename:\\n with open(filedir + 'SingleMu/' + filename) as c:\\n jetdatafiles2018c = [redirector_str + s.strip() for s in c.readlines()[::3] if not s.startswith('#')] \\n filesets['UL18postVFP_SingleMuC_Data'] += jetdatafiles2018c\\n elif 'Run2018D' in filename:\\n with open(filedir + 'SingleMu/' + filename) as d:\\n jetdatafiles2018d = [redirector_str + s.strip() for s in d.readlines()[::3] if not s.startswith('#')] \\n filesets['UL18postVFP_SingleMuD_Data'] += jetdatafiles2018d\\n \\n \\n # print(filesets['UL16postVFP_JetHT_Data'])\\n # print('==========================================================================================================')\\n # print(filesets['UL16postVFP_TTbar'])\\n \\n return filesets\",\n \"def build_subsets(self):\\n self.all = nrn.SectionList()\\n self.all.wholetree(sec=self.soma)\",\n \"def __init__(self,fn_dts,fn_contigs,wnd_size):\\n\\n wnd = int(fn_dts.split(\\\"/\\\")[-1].split(\\\"_bp\\\")[0])\\n assert int(wnd)==wnd_size\\n self.wnd_size = wnd_size\\n print fn_dts\\n self.wnd_DTS = DenseTrackSet(fn_contigs,\\n fn_dts,\\n overwrite=False,\\n openMode='r')\\n \\n self.contigs = self.wnd_DTS.mContigNameLen\\n self.starts=self.wnd_DTS[\\\"starts\\\"]\\n self.ends=self.wnd_DTS[\\\"ends\\\"]\\n self.cps=self.wnd_DTS[\\\"copy\\\"]\",\n \"def assign_subsystems(self):\\n\\n self.driver = MecDriver()\\n\\n systems = {}\\n systems[\\\"ctrl\\\"] = self\\n systems[\\\"driver\\\"] = self.driver\\n\\n self.logger.debug(\\\"Systems: {}\\\".format(systems))\\n return systems\",\n \"def create_perf_data(nodes):\\n perf_blob = {\\n 'framework': { 'name': 'awsy' },\\n 'suites': []\\n }\\n\\n for suite in PERF_SUITES:\\n perf_blob['suites'].append(create_suite(suite['name'], suite['node'], nodes))\\n\\n return perf_blob\",\n \"def create_minimal_scaleio_cluster(self, mdmPassword, liaPassword):\\n \\\"\\\"\\\"\\n self.read_cluster_config_from_disk(\\\"minimal-cluster.json\\\")\\n #self._cluster_config_cached.setMdmPassword(setMdmPassword)\\n #self._cluster_config_cached.setLiaPassword(setLiaPassword)\\n self.push_cached_cluster_configuration(setMdmPassword, setLiaPassword)\\n \\\"\\\"\\\"\\n \\n ###########################\\n # Create a ScaleIO System #\\n ###########################\\n # Flow:\\n # Create Nodes\\n # Create basic info. mdmPass, liaPass and some others\\n # Construct MDM and TB and basic info\\n # Create list of SDS\\n # Create list of SDC\\n \\n \\n ###################\\n # Construct nodes #\\n ###################\\n nodeUsername = 'root'\\n nodePassword = 'password'\\n #node1 = ScaleIO_Node_Object(None, None, ['192.168.102.11'], None, 'linux', nodePassword, nodeUsername)\\n #node2 = ScaleIO_Node_Object(None, None, ['192.168.102.12'], None, 'linux', nodePassword, nodeUsername)\\n #node3 = ScaleIO_Node_Object(None, None, ['192.168.102.13'], None, 'linux', nodePassword, nodeUsername)\\n node1 = ScaleIO_Node_Object(None, None, ['192.168.100.101'], None, 'linux', nodePassword, nodeUsername)\\n node2 = ScaleIO_Node_Object(None, None, ['192.168.100.102'], None, 'linux', nodePassword, nodeUsername)\\n node3 = ScaleIO_Node_Object(None, None, ['192.168.100.103'], None, 'linux', nodePassword, nodeUsername)\\n print \\\"Node Object:\\\"\\n pprint (node1.to_JSON())\\n pprint (node2.to_JSON())\\n pprint (node2.to_JSON())\\n print \\\"\\\"\\n \\n ##########################################\\n # Construct basic info for System_Object #\\n ##########################################\\n mdmIPs = ['192.168.100.101','192.168.100.102']\\n sdcList = []\\n sdsList = []\\n #mdmPassword = 'Scaleio123'\\n #liaPassword = 'Scaleio123'\\n licenseKey = None\\n installationId = None\\n \\n ########################################\\n # Create MDMs and TB for System_Object #\\n ########################################\\n primaryMdm = Mdm_Object(json.loads(node2.to_JSON()), None, None, node2.nodeIPs) # WHY ISNT ManagementIPs pupulated???? Its not in a working config either. mdmIPs need to be populated though\\n secondaryMdm = Mdm_Object(json.loads(node3.to_JSON()), None, None, node3.nodeIPs)\\n tb = Tb_Object(json.loads(node1.to_JSON()), None, node1.nodeIPs)\\n callHomeConfiguration = None # {'callHomeConfiguration':'None'}\\n remoteSyslogConfiguration = None # {'remoteSysogConfiguration':'None'}\\n \\n ################################################################\\n #Create SDS objects - To be added to SDS list in System_Object #\\n ################################################################\\n sds1 = Sds_Object(json.loads(node1.to_JSON()), None, 'SDS_' + str(node1.nodeIPs[0]), 'default', None, node1.nodeIPs, None, None, None, False, '7072')\\n sds1.addDevice(\\\"/dev/sdb\\\", None, None)\\n sds2 = Sds_Object(json.loads(node2.to_JSON()), None, 'SDS_' + str(node2.nodeIPs[0]), 'default', None, node2.nodeIPs, None, None, None, False, '7072')\\n sds2.addDevice(\\\"/dev/sdb\\\", None, None)\\n sds3 = Sds_Object(json.loads(node3.to_JSON()), None, 'SDS_' + str(node3.nodeIPs[0]), 'default', None, node3.nodeIPs, None, None, None, False, '7072')\\n sds3.addDevice(\\\"/dev/sdb\\\", None, None)\\n sdsList.append(json.loads(sds1.to_JSON()))\\n sdsList.append(json.loads(sds2.to_JSON()))\\n sdsList.append(json.loads(sds3.to_JSON()))\\n print \\\"sdsList:\\\"\\n pprint (sdsList)\\n \\n #############################################################\\n # Create SDC objects - To be added as list to System_Object #\\n #############################################################\\n \\\"\\\"\\\"\\n node=None,\\n nodeInfo=None,\\n splitterRpaIp=None\\n \\\"\\\"\\\"\\n sdc1 = Sdc_Object(json.loads(node1.to_JSON()), None, None)\\n sdc2 = Sdc_Object(json.loads(node2.to_JSON()), None, None)\\n sdc3 = Sdc_Object(json.loads(node3.to_JSON()), None, None)\\n \\n sdcList.append(json.loads(sdc1.to_JSON()))\\n sdcList.append(json.loads(sdc2.to_JSON()))\\n sdcList.append(json.loads(sdc3.to_JSON()))\\n \\n ######################################################\\n # Construct a complete ScaleIO cluster configuration #\\n ######################################################\\n sioobj = ScaleIO_System_Object(installationId,\\n mdmIPs,\\n mdmPassword,\\n liaPassword,\\n licenseKey,\\n json.loads(primaryMdm.to_JSON()),\\n json.loads(secondaryMdm.to_JSON()),\\n json.loads(tb.to_JSON()),\\n sdsList,\\n sdcList,\\n callHomeConfiguration,\\n remoteSyslogConfiguration\\n )\\n \\n # Export sioobj to JSON (should upload clean in IM)\\n \\n\\n ###########################################################################\\n # Push System_Object JSON - To be used by IM to install ScaleIO on nodes #\\n ###########################################################################\\n #pprint (sioobj.to_JSON())\\n self._cluster_config_cached = sioobj.to_JSON() # PUSH CONFIGURATION INTO CONFIGURATION CACHE\\n self._cache_contains_uncommitted= False # New config pushed into cache - Nothing oncommitted\\n self.push_cluster_configuration(self._cluster_config_cached) # sioobj.to_JSON())\",\n \"def buildSystem(self, shape ):\\n\\t\\tfor s in self.scatters:\\n\\t\\t\\tfor i,n in enumerate( s._nodes ):\\n\\t\\t\\t\\tsoftMod = sf.SoftModCluster( 'lip_' + '_%i'%i + '_SFM', shape )\\n\\t\\t\\t\\tsoftMod.create( n.a.t.v[0] )\",\n \"def make_dummy_dataset(PATTERN='T%task%/S%session%/sub%subject%_%acquisition%_%run%',\\n DATASET = 'DUMMY',\\n NSUBS = 2,\\n NSESSIONS = 2,\\n NTASKS = 2,\\n NACQS = 2,\\n NRUNS = 2,\\n NCHANNELS = 2,\\n SFREQ = 200,\\n STOP = 10,\\n NUMEVENTS = 10,\\n PREFIXES = {'subject':'SU','session':'SE','task':'TA','acquisition':'AC','run':'RU'},\\n ROOT=None):\\n\\n if ROOT is None:\\n this_dir = os.path.dirname(__file__)\\n data_dir = os.path.abspath(os.path.join(this_dir,'..','_data'))\\n else:\\n data_dir = ROOT\\n os.makedirs(data_dir,exist_ok=True)\\n\\n\\n\\n sub_zeros = get_num_digits(NSUBS)\\n subs = [ PREFIXES['subject']+ str(x).zfill(sub_zeros) for x in range(NSUBS)]\\n\\n task_zeros = get_num_digits(NTASKS)\\n tasks = [ PREFIXES['task']+str(x).zfill(task_zeros) for x in range(NTASKS)]\\n\\n run_zeros = get_num_digits(NRUNS)\\n runs = [str(x).zfill(run_zeros) for x in range(NRUNS)]\\n\\n ses_zeros = get_num_digits(NSESSIONS)\\n sessions = [ PREFIXES['session']+str(x).zfill(ses_zeros) for x in range(NSESSIONS)]\\n\\n acq_zeros = get_num_digits(NACQS)\\n acquisitions = [ PREFIXES['acquisition']+str(x).zfill(acq_zeros) for x in range(NACQS)]\\n\\n # Create some dummy metadata\\n n_channels = NCHANNELS\\n sampling_freq = SFREQ # in Hertz\\n info = mne.create_info(n_channels, sfreq=sampling_freq)\\n\\n times = np.linspace(0, STOP, STOP*sampling_freq, endpoint=False)\\n data = np.zeros((NCHANNELS,times.shape[0]))\\n\\n raw = mne.io.RawArray(data, info)\\n raw.set_channel_types({x:'eeg' for x in raw.ch_names})\\n new_events = mne.make_fixed_length_events(raw, duration=STOP//NUMEVENTS)\\n\\n for task in tasks:\\n for session in sessions:\\n for run in runs:\\n for sub in subs:\\n for acq in acquisitions:\\n dummy = PATTERN.replace('%dataset%',DATASET)\\n dummy = dummy.replace('%task%',task)\\n dummy = dummy.replace('%session%',session)\\n dummy = dummy.replace('%subject%',sub)\\n dummy = dummy.replace('%run%',run)\\n dummy = dummy.replace('%acquisition%',acq)\\n path = [data_dir] +dummy.split('/')\\n fpath = os.path.join(*path)\\n _write_raw_brainvision(raw,fpath,new_events)\",\n \"def create_dataset(n_power_steps, n_initial_conditions, n_time_steps, power_system):\\r\\n data_ops = input_data_initialised(n_ops=n_power_steps * n_initial_conditions,\\r\\n power_system=power_system)\\r\\n\\r\\n power_values = np.linspace(0.0, 0.2, n_power_steps)\\r\\n delta_initial = np.linspace(-np.pi / 2, np.pi / 2, n_initial_conditions)\\r\\n\\r\\n power_ops_grid, delta_ops_grid = np.meshgrid(power_values, delta_initial)\\r\\n\\r\\n power_ops = power_ops_grid.reshape((-1, 1))\\r\\n delta_ops = delta_ops_grid.reshape((-1, 1))\\r\\n\\r\\n data_ops.update(time=np.ones(power_ops.shape) * power_system['t_max'],\\r\\n power=power_ops,\\r\\n states_initial=np.concatenate([delta_ops, power_system['omega_0'] + np.ones(delta_ops.shape) *\\r\\n 0.1], axis=1))\\r\\n\\r\\n data_ops = evaluate_op_trajectory(data_ops, n_time_steps=n_time_steps, power_system=power_system)\\r\\n\\r\\n data_ops = calculate_data_ode_right_hand_side(data_ops, power_system)\\r\\n\\r\\n return data_ops\",\n \"def make_result_table(self, for_time):\\n time = [t.AsPython()\\n for t in cmf.timerange(cmf.AsCMFtime(self.starttime),\\n cmf.AsCMFtime(self.starttime + for_time),\\n self.dt)]\\n depth = self.depth\\n layer_template = np.zeros((len(time), len(depth))) * np.NaN\\n ds = xr.Dataset(\\n {'N': (('time', 'depth'), layer_template.copy()),\\n 'Corg': (('time', 'depth'), layer_template.copy()),\\n 'DOC': (('time', 'depth'), layer_template.copy()),\\n 'Temp': (('time', 'depth'), layer_template.copy()),\\n 'wetness': (('time', 'depth'), layer_template.copy()),\\n },\\n {'time': time, 'depth': list(depth)}\\n )\\n return ds\",\n \"def datasets(self):\\n pass\",\n \"def getSets():\",\n \"def __init__(self, topology, dofs_per_codim_entity):\\n self.topology = topology\\n self.datasets = dict((eset, DataSet(eset, dofs_per_codim_entity.get(eset.codimension, 0)))\\n for eset in topology.entity_variants())\",\n \"def create(self):\\n\\n for key in self.dirs.keys():\\n if type(self.dirs[key]) == dict:\\n for dir_type in self.dirs[key].keys():\\n create_if_not_exists(self.dirs[key][dir_type])\\n else:\\n create_if_not_exists(self.dirs[key])\\n\\n # read the file in, sample-by-sample\\n # build the dictionary recursively\\n # add rle file also to generated cfg files\\n # print integrations per job as well!\\n # consider more than 1 file per jobs -- the jobs are splitted by MEM integration anyways\\n\\n rle_filters = self.get_filter() if self.rle_filter_file else {}\\n statistics = {}\\n for sample_name, sample_info in self.samples.items():\\n if not sample_info[\\\"use_it\\\"]:\\n continue\\n\\n if not os.path.exists(sample_info['local_paths'][0]['path']):\\n logging.warning(\\\"Skipping sample {sample_name}\\\".format(sample_name = sample_name))\\n continue\\n\\n process_name = sample_info[\\\"process_name_specific\\\"]\\n logging.info(\\\"Creating configuration files to run '%s' for sample %s\\\" % (self.executable_addMEM, process_name))\\n is_mc = (sample_info[\\\"type\\\"] == \\\"mc\\\")\\n if self.rle_filter_file:\\n assert(process_name in rle_filters)\\n\\n inputFileList = generateInputFileList(sample_info, self.max_files_per_job)\\n # typically, the analysis ends here and starts looping b/c the smallest unit of work processes\\n # at least one file; we need, however, to split the file into event ranges in such a way that\\n # each job performs mem_integrations_per_job MEM integrations\\n\\n # so what we are going to do is to open each set of files in inputFileList, read the variable\\n # requestMEM_*l_*tau and try to gather the event ranges such that each event range\\n # performs up to mem_integrations_per_job integrations per job\\n memEvtRangeDict = self.memJobList(inputFileList, rle_filters[process_name] if self.rle_filter_file else [])\\n\\n for jobId in memEvtRangeDict.keys():\\n\\n key_dir = getKey(sample_name)\\n key_file = getKey(sample_name, jobId)\\n\\n self.inputFiles[key_file] = memEvtRangeDict[jobId]['input_fileset']\\n\\n # there should always be a job\\n assert(self.inputFiles[key_file] > 0), \\\"More than one input file: %s ?? !!\\\" % \\\\\\n ', '.join(self.inputFiles[key_file])\\n\\n #assert(len(self.inputFiles[key_file]) == 1), \\\"There is more than one input file!\\\"\\n self.cfgFiles_addMEM_modified[key_file] = os.path.join(\\n self.dirs[key_dir][DKEY_CFGS], \\\"addMEM_%s_%s_%i_cfg.py\\\" % (self.channel, process_name, jobId)\\n )\\n self.shFiles_addMEM_modified[key_file] = os.path.join(\\n self.dirs[key_dir][DKEY_CFGS], \\\"addMEM_%s_%s_%i.sh\\\" % (self.channel, process_name, jobId)\\n )\\n self.outputFiles[key_file] = os.path.join(\\n self.dirs[key_dir][DKEY_NTUPLES], \\\"%s_%i.root\\\" % (process_name, jobId)\\n )\\n self.logFiles_addMEM[key_file] = os.path.join(\\n self.dirs[key_dir][DKEY_LOGS], \\\"addMEM_%s_%s_%i.log\\\" % (self.channel, process_name, jobId)\\n )\\n self.logFiles_addMEM[key_file] = get_log_version((self.logFiles_addMEM[key_file],))[0]\\n self.createCfg_addMEM(\\n self.inputFiles[key_file],\\n memEvtRangeDict[jobId]['event_range'][0],\\n memEvtRangeDict[jobId]['event_range'][1],\\n self.outputFiles[key_file],\\n self.era,\\n sample_info[\\\"sample_category\\\"],\\n is_mc,\\n self.cfgFiles_addMEM_modified[key_file],\\n memEvtRangeDict[jobId]['whitelist'],\\n )\\n\\n # associate the output file with the fileset_id\\n #UDPATE: ONE OUTPUT FILE PER SAMPLE!\\n fileset_id = memEvtRangeDict[jobId]['fileset_id']\\n hadd_output_dir = os.path.join(\\n self.dirs[key_dir][DKEY_FINAL_NTUPLES],\\n '%04d' % (fileset_id // 1000)\\n )\\n if not os.path.exists(hadd_output_dir):\\n os.makedirs(hadd_output_dir)\\n hadd_output = os.path.join(\\n hadd_output_dir, '%s_%i.root' % ('tree', fileset_id) # UDPATE: ADDED\\n #hadd_output_dir, \\\"tree.root\\\" # UDPATE: REMOVED\\n )\\n if hadd_output not in self.hadd_records:\\n self.hadd_records[hadd_output] = {}\\n self.hadd_records[hadd_output]['output_files'] = []\\n self.hadd_records[hadd_output]['fileset_id'] = fileset_id\\n self.hadd_records[hadd_output]['output_files'].append(self.outputFiles[key_file])\\n self.hadd_records[hadd_output]['process_name'] = process_name\\n\\n # let's sum the number of integration per sample\\n nofEntriesMap = {}\\n for v in memEvtRangeDict.values():\\n if v['fileset_id'] not in nofEntriesMap:\\n nofEntriesMap[v['fileset_id']] = {\\n 'nof_entries' : v['nof_entries'],\\n }\\n statistics[process_name] = {\\n 'nof_int' : sum([entry['nof_int'] for entry in memEvtRangeDict.values()]),\\n 'nof_entries' : sum([entry['nof_entries'] for entry in nofEntriesMap.values()]),\\n 'nof_events_pass' : sum([entry['nof_events_pass'] for entry in memEvtRangeDict.values()]),\\n 'nof_int_pass' : sum([entry['nof_int_pass'] for entry in memEvtRangeDict.values()]),\\n 'nof_zero' : sum([entry['nof_zero'] for entry in memEvtRangeDict.values()]),\\n 'nof_jobs' : len(memEvtRangeDict),\\n }\\n\\n if self.is_sbatch:\\n logging.info(\\\"Creating script for submitting '%s' jobs to batch system\\\" % self.executable_addMEM)\\n self.createScript_sbatch()\\n\\n logging.info(\\\"Creating Makefile\\\")\\n lines_makefile = []\\n self.addToMakefile_addMEM(lines_makefile)\\n self.addToMakefile_hadd(lines_makefile)\\n self.createMakefile(lines_makefile)\\n\\n ws_len = max([len(kk) + 1 for kk in statistics.keys()])\\n total_nof_integrations_sum = sum(x['nof_int'] for x in statistics.values())\\n total_nof_entires = sum(x['nof_entries'] for x in statistics.values())\\n total_nof_zero_int = sum(x['nof_zero'] for x in statistics.values())\\n total_nof_jobs = sum(x['nof_jobs'] for x in statistics.values())\\n total_nof_pass = sum(x['nof_events_pass'] for x in statistics.values())\\n total_nof_int_pass_avg = float(sum(x['nof_int_pass'] for x in statistics.values())) / total_nof_pass\\n total_nof_integrations_avg = float(total_nof_integrations_sum) / total_nof_entires\\n total_nof_int_per_job = float(total_nof_integrations_sum) / total_nof_jobs\\n for k, v in statistics.iteritems():\\n if v['nof_entries'] == 0:\\n int_per_event = 0.\\n evt_pass = 0.\\n else:\\n int_per_event = float(v['nof_int']) / v['nof_entries']\\n evt_pass = (100 * float(v['nof_events_pass']) / v['nof_entries'])\\n if v['nof_events_pass'] == 0:\\n nof_int_pass = 0.\\n else:\\n nof_int_pass = float(v['nof_int_pass']) / v['nof_events_pass']\\n print('%s%s: %d (%d entries; %d jobs; %.2f int/evt; %d (%.2f%%) evt pass; %.2f int/evt pass; %d evt 0int)' %\\n (k,\\n ' ' * (ws_len - len(k)),\\n v['nof_int'],\\n v['nof_entries'],\\n v['nof_jobs'],\\n int_per_event,\\n v['nof_events_pass'],\\n evt_pass,\\n nof_int_pass,\\n v['nof_zero'],\\n )\\n )\\n print('%s%s: %d (%d entries; %d jobs; %.2f int/evt; %d evt pass; %.2f int/evt pass; '\\n '%.2f int/job pass; %d evt 0int)' %\\n ('total',\\n ' ' * (ws_len - len('total')),\\n total_nof_integrations_sum,\\n total_nof_entires,\\n total_nof_jobs,\\n total_nof_integrations_avg,\\n total_nof_pass,\\n total_nof_int_pass_avg,\\n total_nof_int_per_job,\\n total_nof_zero_int,\\n )\\n )\\n\\n if self.max_mem_integrations > 0 and total_nof_integrations_sum > self.max_mem_integrations:\\n logging.error(\\\"Will not start the jobs (max nof integrations exceeded)!\\\")\\n return False\\n else:\\n logging.info(\\\"Done\\\")\\n return True\",\n \"def setup_class(self):\\n args = {'pdb_path':'/sdf/home/a/apeck/tomoxtal/examples/input/193l.pdb', 'resolution':6.0, 'size':250}\\n\\n # generate structure factors and retrieve associated cell information\\n sf = cctbx_tools.reference_sf(args['pdb_path'], args['resolution'], expand_to_p1=True)\\n sf_data = cctbx_tools.reformat_sf(sf)\\n sg_symbol, sg_no, self.cell, cs = cctbx_tools.unit_cell_info(args['pdb_path'])\\n \\n # add random phase shifts\\n hklIp1, hklIp2, hklIp3 = sf_data.copy(), sf_data.copy(), sf_data.copy()\\n hklIp2[:,-1], self.shifts2 = phases_utils.add_random_phase_shift(sf_data[:,:3], sf_data[:,-1])\\n hklIp3[:,-1], self.shifts3 = phases_utils.add_random_phase_shift(sf_data[:,:3], sf_data[:,-1])\\n\\n # retain subset of Millers\\n for data in [hklIp1,hklIp2,hklIp3]:\\n keep_idx = np.unique(np.random.randint(0, high=data.shape[0], size=args['size']))\\n data = data[keep_idx]\\n \\n self.data1, self.data2, self.data3 = hklIp1, hklIp2, hklIp3\\n fshifts_list = np.random.uniform(size=(4,3))\\n self.fshifts_list = np.vstack((fshifts_list, 1-self.shifts2, 1-self.shifts3))\",\n \"def __init__(self,fn,previous=False,autoreload=False):\\n\\t\\tself.filename = path_expand(fn)\\n\\t\\tself.paths = unpacker(conf_paths)\\n\\t\\tself.machine = unpacker(conf_gromacs,'machine_configuration')[machine_name]\\n\\t\\tdel sys.modules['yaml']\\n\\n\\t\\tself.nprocs = self.machine['nprocs'] if 'nprocs' in self.machine else 1\\n\\t\\t#---write timeseries to the post data directory when making slices\\n\\t\\tself.write_timeseries_to_disk = self.paths.get('timekeeper',False)\\n\\t\\tself.postdir = os.path.join(path_expand(self.paths['post_data_spot']),'')\\n\\t\\tself.plotdir = os.path.join(path_expand(self.paths['post_plot_spot']),'')\\n\\t\\t#---generic variables associated with the workspace\\n\\t\\tself.vars = {}\\n\\t\\tself.meta = {}\\n\\t\\tself.calc = {}\\n\\t\\t#---automatically add preexisting files to the workspace if they are found\\n\\t\\tself.autoreload = autoreload\\n\\n\\t\\t#---for each \\\"spot\\\" in the yaml file, we construct a template for the data therein\\n\\t\\t#---the table of contents (\\\"toc\\\") holds one parsing for every part regex in every spot\\n\\t\\tself.spots,self.toc = {},collections.OrderedDict()\\n\\t\\tfor name,details in self.paths['spots'].items():\\n\\t\\t\\trootdir = os.path.join(details['route_to_data'],details['spot_directory'])\\n\\t\\t\\tif not os.path.isdir(rootdir):\\n\\t\\t\\t\\traise Exception('\\\\n[ERROR] cannot find root directory %s'%rootdir)\\n\\t\\t\\tfor part_name,part_regex in details['regexes']['part'].items():\\n\\t\\t\\t\\tspot = (name,part_name)\\n\\t\\t\\t\\tself.toc[spot] = {}\\n\\t\\t\\t\\tself.spots[spot] = {\\n\\t\\t\\t\\t\\t'rootdir':os.path.join(rootdir,''),\\n\\t\\t\\t\\t\\t'top':details['regexes']['top'],\\n\\t\\t\\t\\t\\t'step':details['regexes']['step'],\\n\\t\\t\\t\\t\\t'part':part_regex,\\n\\t\\t\\t\\t\\t'namer':eval(details['namer']),\\n\\t\\t\\t\\t\\t'namer_text':details['namer'],\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\tself.spots[spot]['divy_keys'] = self.divy_keys(spot)\\n\\t\\t#---we always require an xtc entry in the parts list\\n\\t\\tif 'xtc' not in zip(*self.spots.keys())[1]: \\n\\t\\t\\traise Exception('\\\\n[ERROR] you must have \\\"xtc\\\" in the parts list')\\n\\t\\t#---set a cursor which specifies the active spot which should always be the first in the yaml\\n\\t\\tself.cursor = self.spots.keys()[0]\\n\\t\\t#---the self.c variable holds the top spot name but not the part name\\n\\t\\tself.c = self.cursor[0]\\n\\t\\t#---! default to XTC\\n\\t\\tself.trajectory_format = 'xtc'\\n\\t\\tself.merge_method = self.paths.get('merge_method','careful')\\n\\t\\t\\n\\t\\t#---open self if the filename exists \\n\\t\\t#---note that we save parser results but not details from paths.yaml in case these change\\n\\t\\tif os.path.isfile(self.filename): \\n\\t\\t\\tself.load(previous=previous)\\n\\t\\t\\tself.verify()\\n\\t\\t#---otherwise make a new workspace\\n\\t\\telse: self.bootstrap()\",\n \"def _setData(self):\\n self._data = [ item for ministry in self.query.all() \\n for item in self._getItems(ministry) ]\",\n \"def main():\\n partition = 'Common'\\n login, pwd, device = get_device_data()\\n mgmt = ManagementRoot(login, pwd, device)\\n ltm = mgmt.tm.ltm\\n pools = ltm.pools.get_collection()\\n nodes = ltm.nodes.get_collection()\\n display_nodes(nodes)\\n display_pools(pools)\\n virtuals = ltm.virtuals.get_collection()\\n display_virtuals(virtuals)\",\n \"def init_data(self):\\n fields = SeriesRepository.get_available_series().exclude(identifier=None)\\n\\n if self.catalog:\\n try:\\n catalog = Catalog.objects.get(identifier=self.catalog)\\n except Catalog.DoesNotExist:\\n return\\n\\n fields = fields.filter(\\n distribution__dataset__catalog=catalog\\n )\\n\\n fields = fields.prefetch_related(\\n 'distribution',\\n 'distribution__dataset',\\n 'distribution__dataset__catalog',\\n 'enhanced_meta',\\n )\\n all_meta = Metadata.objects.all()\\n field_ct = ContentType.objects.get_for_model(Field)\\n for field in fields:\\n meta = json.loads(field.metadata)\\n dist_meta = json.loads(field.distribution.metadata)\\n dataset_meta = json.loads(field.distribution.dataset.metadata)\\n themes = field.distribution.dataset.themes\\n theme_labels = get_theme_labels(json.loads(themes)) if themes else ''\\n\\n self.fields[field.identifier] = {\\n 'dataset': field.distribution.dataset,\\n 'distribution': field.distribution,\\n 'serie': field,\\n 'serie_titulo': field.title,\\n 'serie_unidades': meta.get('units'),\\n 'serie_descripcion': meta.get('description'),\\n 'distribucion_titulo': dist_meta.get('title'),\\n 'distribucion_descripcion': dist_meta.get('description'),\\n 'distribucion_url_descarga': field.distribution.download_url,\\n 'dataset_responsable': dataset_meta.get('publisher', {}).get('name'),\\n 'dataset_fuente': dataset_meta.get('source'),\\n 'dataset_titulo': field.distribution.dataset.title,\\n 'dataset_descripcion': dataset_meta.get('description'),\\n 'dataset_tema': theme_labels,\\n 'metadata': {o.key: o.value for o in list(all_meta.filter(content_type=field_ct, object_id=field.id))},\\n 'frequency': self.serie_periodicity(field),\\n }\",\n \"def create(self):\\n statusList = []\\n ## generating the different substructures\\n for s in self.substructures:\\n ## create the data substructure object\\n if s.type.lower() == \\\"mysql\\\":\\n datasubstructure = MySQLSubstructure(**s)\\n if s.type.lower() == \\\"hbase\\\":\\n datasubstructure = HBaseSubstructure(**s)\\n if s.type.lower() == \\\"metastore\\\":\\n datasubstructure = MetastoreSubstructure(**s)\\n if s.type.lower() == \\\"avro\\\":\\n datasubstructure = AvroSubstructure(**s)\\n \\n print(\\\"Creating data substructure\\\")\\n print(\\\"--------------------------\\\")\\n datasubstructure.show()\\n ## generate the substructure \\n statusList.append(datasubstructure.create())\\n\\n return(statusList)\",\n \"def __init__(self, Set, runDirectory):\\n #Enforce directory structure\\n self.Set = Set\\n self.DataDir = Set.DataDir\\n self.ParentDir = os.path.dirname(self.DataDir)\\n self.RunDir = os.path.join(self.ParentDir, runDirectory)\\n if os.path.isdir(self.RunDir): #overwrites if exists\\n print('WARNING: directory already exists,,, delete or rename it')\\n else:\\n try:\\n os.mkdir(self.RunDir)\\n except:\\n print('unable to create RunDir')\\n pass\\n #NOTE: change based on machine...\\n #self.ScriptDir = '/Users/scotthenderson/dev/matlab/timeseries'\\n self.ScriptDir = '/home/scott/myscripts/matlab/timeseries'\\n #self.ProcDir = os.path.join(self.RunDir, 'clean_stack') # keep same as procdir\\n self.OutDir = os.path.join(self.RunDir, 'output')\\n self.AuxDir = os.path.join(self.ParentDir, 'aux_files')\\n #NOTE: if separate mask files are needed make additional aux_files folder\\n #append to prefix w/ each processing step,\\n #NOTE: if this isn't changed, files will be overwitten\\n self.MaskPrefix = ''\\n self.DataPrefix = ''\\n\\n self.Igthresh = 10\\n self.Cothresh = 0.001 #NOTE: best to let temporal averaging take care of noise\\n self.Damping = 1e-6\\n\\n self.MaskBorder = True\\n self.MaskGradient = True\\n self.MaskIgthresh = True\\n self.MaskCothresh = True\\n self.RampRemove = True\\n self.Inversion = 'svd' # 'ls','wdls'\",\n \"def initializeCollection():\\n return {SENSOR1:[], SENSOR2:[], SENSOR3:[],SENSOR4:[], DATE:[]}\",\n \"def update_sys_resource():\\n\\n cpu_cores = get_cpu_cores()\\n logger.debug(\\\"starting top module\\\")\\n cpu_usage = get_cpu_usage()\\n mem_usage = get_mem_usage()\\n df_usage = get_df_usage()\\n logger.debug(\\\"round instrument data ready, next is top 5data\\\")\\n fields = [\\n 'check_time', 'cpu_usage', 'cpu_all', 'cpu_using', 'mem_usage',\\n 'mem_all', 'mem_using', 'disk_usage', 'disk_all', 'disk_using',\\n 'cpu_topN', 'mem_topN', 'disk_topN', 'net_in_topN', 'net_out_topN'\\n ]\\n # result = {}\\n # result.fromkeys(field, None)\\n result = {i: None for i in fields}\\n result['check_time'] = int(time.time())\\n result['cpu_all'] = cpu_cores\\n result['cpu_usage'] = cpu_usage\\n result['mem_all'], result['mem_using'] = mem_usage\\n result['disk_all'], result['disk_using'] = df_usage\\n try:\\n result['mem_usage'] = result['mem_using'] / result['mem_all']\\n except ZeroDivisionError:\\n result['mem_usage'] = 0.0\\n try:\\n result['disk_usage'] = result['disk_using'] / result['disk_all']\\n except ZeroDivisionError:\\n result['disk_usage'] = 0.0\\n result['cpu_topN'] = get_topN_cpu()\\n net_topn_data = get_topN_netIO()\\n mnd_topn_data = get_topN_mnd()\\n result[\\\"mem_topN\\\"] = mnd_topn_data[\\\"mem.bytes.memavailable\\\"]\\n result[\\\"disk_topN\\\"] = mnd_topn_data[\\\"df.bytes.used\\\"]\\n result[\\\"net_in_topN\\\"] = net_topn_data[\\\"cluster.net.dev.receive\\\"]\\n result[\\\"net_out_topN\\\"] = net_topn_data[\\\"cluster.net.dev.transmit\\\"]\\n # print(result)\\n send_to_db('argus-statistics', 'sys_resource', result)\\n logger.debug(\\\"update is already success\\\")\",\n \"def create_data():\\n # Locations\\n data = {}\\n num_vehicles = 20\\n depot = 0\\n locations = loc1\\n demands = popn\\n\\n num_locations = len(locations)\\n dist_matrix = {}\\n\\n for from_node in range(0,num_locations):\\n dist_matrix[from_node] = {}\\n\\n for to_node in range(0,num_locations):\\n dist_matrix[from_node][to_node] = (\\n haversine(\\n locations[from_node],[to_node])\\n #locations[to_node],[from_node])\\n \\\"\\\"\\\"\\n data[\\\"distances\\\"] =dist_matrix\\n data[\\\"num_locations\\\"] = len(dist_matrix)\\n data[\\\"num_vehicles\\\"] = 6\\n data[\\\"depot\\\"] = 0\\n data[\\\"demands\\\"] = demands\\n #data[\\\"vehicle_capacities\\\"] = capacities\\n data[\\\"time_per_demand_unit\\\"] = 0.05\\n return data\\n \\\"\\\"\\\"\\n return [ num_vehicles, depot, locations, dist_matrix]\",\n \"def main():\\n logger = logging.getLogger(__name__)\\n logger.info('making final data set from raw data')\\n get_user_config()\",\n \"def datacollection(self):\\n \\n self.datadict = {'name': self.name, 'supplyname': self.supplyname, 'tranname': self.tranname, 'demandname': self.demandname, \\n 'nodenum': self.nodenum, 'demandnum': self.demandnum, 'trannum': self.trannum, 'supplynum': self.supplynum,\\n \\\"demandseries\\\": self.demandseries, 'transeries': self.transeries, 'supplyseries': self.supplyseries,\\n \\\"edgediameter\\\": self.edgediameter, 'population_assignment': self.popuassign, 'elevation': self.elevation, 'color': self.color}\",\n \"def setup(self):\\n in_dataset, out_dataset = self.get_datasets()\\n \\n out_dataset[0].create_dataset(in_dataset[0])\\n out_dataset[1].create_dataset(in_dataset[1])\\n\\n in_pData, out_pData = self.get_plugin_datasets()\\n\\n in_pData[0].plugin_data_setup( 'SINOGRAM',multiple)\\n out_pData[0].plugin_data_setup( 'PROJECTION','multiple')\\n\\n in_pData[1].plugin_data_setup( 'PROJECTION',)\\n out_pData[1].plugin_data_setup( 'PROJECTION','multiple')\",\n \"def initialize(self):\\n self.muondEdx = []\\n self.muondNdx = []\\n self.muonmomentum = []\\n self.piondEdx = []\\n self.piondNdx = []\\n self.pionmomentum = []\\n self.kaondEdx = []\\n self.kaondNdx = []\\n self.kaonmomentum = []\\n self.protdEdx = []\\n self.protdNdx = []\\n self.protmomentum = []\\n self.elecdEdx = []\\n self.elecdNdx = []\\n self.elecmomentum = []\",\n \"def dataframe():\\n\\t#allows function to access station, gmt, and miss_station functions\\n global stations\\n\\tglobal gmt\\n\\tglobal miss_station\\n\\t\\n\\t#read predictor file\\n\\tcontrol = cfg.read_yaml('../registry/graphs.yaml')\\n\\tpred_ctrl = cfg.read_yaml(cfg.get_config_path(control.pred_file))\\n\\tpredd_ctrl = cfg.read_yaml(cfg.get_config_path(control.predd_file))\\n\\n\\t#get file paths and update database\\n\\tpredictor_file_path = control.predictor_file_path\\n\\tpredictand_file_path = control.predictand_file_path\\n\\tpred_file_id = update(predictor_file_path)\\n\\tpredd_file_id = update(predictand_file_path)\\n\\t\\n\\t#store lead time and date range\\n\\tlead_time = control.lead_time\\n\\tdate_range = control.date_range\\n\\n\\t#get info for fetch many dates\\n\\tstart,end,stride = read_pred.parse_range(date_range)\\n\\tfcst_ref_time = control.date_range[0].split('-')[0][-2:]\\n\\t\\n\\t#initialize list of predictors\\n\\tpred_list = pred_ctrl.predictors\\n\\tpredictor = []\\n\\n\\t#loops through predictors to build camps data objects\\n\\tfor entry_dict in pred_list:\\n\\t\\t#formats metadata\\n\\t\\tpred = create.preprocess_entries(entry_dict, fcst_ref_time)\\n\\t\\t\\n\\t\\t#adds info to metadata that's not currently being stored\\n\\t\\tpred.search_metadata['reserved2'] = lead_time*3600\\n pred.search_metadata['file_id'] = pred_file_id\\n\\t\\tpred.search_metadata['reserved1'] = 'vector'\\n\\n\\t\\t#build camps data objects for each day\\n\\t\\tvariable = fetch_many_dates(predictor_file_path,start,end,stride,pred.search_metadata)\\n\\t\\t\\n\\t\\t#appends all data to single camps object\\n\\t\\tif variable[0] is not None:\\n\\t\\t\\tvar = variable[0]\\n\\t\\t\\tarrs = []\\n\\t\\t\\tfor i in range(len(variable)):\\n\\t\\t\\t\\tarrs.append(variable[i].data)\\n\\t\\t\\tvar.data = np.stack(arrs)\\n\\t\\t\\tpredictor.append(var)\\n\\n\\t#initializes list of predictands\\n\\tpredd_list = predd_ctrl.predictands\\n predictand = []\\n\\t\\n\\t#loops through predictands to build camps data objects\\n for entry_dict in predd_list:\\n\\t\\t#formats metadata\\n \\tvertical_coordinate = entry_dict.pop('Vertical_Coordinate')\\n\\t\\tentry_dict['file_id'] = predd_file_id\\n\\n\\t\\t#build camps objects for each day\\n variable = fetch_many_dates(predictand_file_path,start, end, stride, entry_dict)\\n\\n\\t\\t#append all data to single camps object\\n var = variable[0]\\n arrs = []\\n for i in range(len(variable)):\\n arrs.append(variable[i].data)\\n try:\\n\\t\\t\\tvar.data = np.stack(arrs)\\n\\t\\t\\tpredictand.append(var)\\n\\t\\texcept:\\n\\t\\t\\tprint(\\\"Can't read \\\" + variable.name)\\n\\n\\t#getting predictor station and time data\\n\\tpredr = Dataset(predictor_file_path[0])\\n\\tpredr_stat = predr.variables['station'][:]\\n\\tif lead_time == 3:\\n\\t\\tpredr_time = predr.variables['OM__phenomenonTimeInstant'][:]\\n\\telif lead_time == 6:\\n\\t\\tpredr_time = predr.variables['OM__phenomenonTimeInstant1'][:]\\n\\telif lead_time == 12:\\n\\t\\tpredr_time = predr.variables['OM__phenomenonTimeInstant2'][:]\\n\\tpredr.close()\\n\\n\\t#reformatting predictor station and time data\\n\\tpredr_stations = stations(predr_stat)\\n\\tpredr_gmt = gmt(predr_time)\\n\\t\\n\\t#getting predictand station and time data\\n\\tpredd = Dataset(predictand_file_path[0])\\n\\tpredd_stat = predd.variables['station'][:]\\n\\tpredd_time = predd.variables['OM__resultTime'][:]\\n\\tpredd.close()\\n\\t\\n\\t#reformatting predictand station and time data\\n\\tpredd_stations = stations(predd_stat)\\n\\tpredd_gmt = gmt(predd_time)\\n\\n\\t#choosing predictand observations that line up with predictor time\\n\\thour = (predictor[0].metadata['FcstTime_hour']/3600) + lead_time\\n\\tdays = len(predd_gmt)/24\\n\\tpredd_hours = [0]*days\\n k=0\\n for i in range(len(predd_gmt)):\\n if i%24 == hour:\\n\\t\\t\\tpredd_hours[k]=predd_gmt[i]\\n\\t\\t\\tk+=1\\n\\t\\n\\t#catches when GFS data doesn't cover the last day of the month\\n\\tif len(predr_gmt) < len(predd_hours):\\n\\t\\tpredd_hours = predd_hours[:-1]\\t\\n\\t\\n\\t#find missing stations\\n\\tmiss_stations = miss_station(predr_stations,predd_stations)\\n\\tstations = predd_stations\\n\\t\\n\\t#station and time array\\n\\tinfo = [['',''] for k in range(len(predr_gmt)*len(stations))]\\n\\tfor i in range(len(predr_gmt)):\\n\\t\\tfor j in range(len(stations)):\\n\\t\\t\\tk = i*len(stations)+j\\n\\t\\t\\tinfo[k][0]=predr_gmt[i]\\n\\t\\t\\tinfo[k][1]=stations[j]\\n\\n\\t#create column names\\n\\tnames = ['']*(len(predictor)+len(predictand)+2)\\n\\tnames[0]='Time'\\n\\tnames[1]='Station'\\n\\n\\t#creating array\\n\\tarr = np.zeros((len(stations)*len(predr_gmt),len(predictor)+len(predictand)))\\n\\t\\n\\t#adding predictor data\\n\\tfor i in range(len(predictor)):\\n\\t\\t#remove lead time and forecast reference time from variable name\\n\\t\\t#and add variable name to column list of final dataframe\\n\\t\\tif lead_time == 12:\\n\\t\\t\\tnames[i+2]='GFS_'+predictor[i].get_variable_name()[:-11]\\n\\t\\telse:\\n\\t\\t\\t names[i+2]='GFS_'+predictor[i].get_variable_name()[:-10]\\n\\n\\t\\t#create pandas dataframe of data and sort alphabetically by station name\\n\\t\\tpredictor[i].data = np.squeeze(predictor[i].data,axis=2)\\n\\t\\tpredictor[i].data = pd.DataFrame(predictor[i].data,columns=predr_stations,index=predr_gmt)\\n\\t\\tpredictor[i].data = predictor[i].data.reindex(sorted(predictor[i].data.columns),axis=1)\\n\\t\\t\\n\\t\\t#remove stations with no predictand data\\n\\t\\tk=0\\n\\t\\ta=miss_stations[:]\\n\\t\\tfor j in predictor[i].data.columns:\\n\\t\\t\\tif not a:\\n\\t\\t\\t\\tbreak\\n\\t\\t\\tif j==a[k]:\\n\\t\\t\\t\\tpredictor[i].data=predictor[i].data.drop(j,axis=1)\\n\\t\\t\\t\\tdel a[k]\\n\\t\\t\\n\\t\\t#add data to final dataframe\\n\\t\\tfor b in range(len(predr_gmt)):\\n\\t\\t\\tfor c in range(len(stations)):\\n\\t\\t\\t\\tk = b*len(stations)+c\\n\\t\\t\\t\\tarr[k][i] = predictor[i].data.iloc[b][c]\\n\\n\\t#add predictand data\\n\\tfor i in range(len(predictand)):\\n\\t\\t#removing extra underscore, adding variable name to column names\\n\\t\\tnames[len(predictor)+2+i]='METAR_'+predictand[i].get_variable_name()[:-1]\\n\\t\\n\\t\\t#resize array and create pandas dataframe\\n\\t\\tpredictand[i].data = np.squeeze(predictand[i].data,axis=2)\\n\\t\\tpredictand[i].data = pd.DataFrame(predictand[i].data,columns=predd_stations,index=predd_hours)\\n\\t\\tpredictand[i].data = predictand[i].data.reindex(sorted(predictand[i].data.columns),axis=1)\\n\\t\\t\\n\\t\\t#remove extra days of predictand data\\n\\t\\tpredictand[i].data = predictand[i].data.iloc[0:len(predr_time),:]\\n\\t\\t\\t\\n\\t\\t#add predictand data to array\\n\\t\\tfor b in range(len(predr_gmt)):\\n\\t\\t\\tfor c in range(len(stations)):\\n\\t\\t\\t\\tk = b*len(stations)+c\\n\\t\\t\\t\\tval = predictand[i].data.iloc[b][c]\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t#catch metar fill data\\n\\t\\t\\t\\tif val == 9999: \\n\\t\\t\\t\\t\\tval = np.nan\\n\\t\\t\\t\\tarr[k][len(predictor)+i]=val\\n\\t\\n\\t#add station and time data to array and save as csv\\n\\tdata = np.concatenate([info,arr],axis = 1)\\n\\tto_save = pd.DataFrame(data,columns=names)\\n\\tto_save.to_csv(str(start)+'_'+str(end)+'_'+str(lead_time)+'hrs.csv')\",\n \"def _create_data():\\n tf.logging.info(\\\"Create records..\\\")\\n train, val, test = util.load_data(data_dir, FLAGS[\\\"is_aug\\\"])\\n tf.logging.info(\\\"Dataset size: Train-{} Test-{} Val-{}\\\".format(len(train), len(test), len(val)))\\n return train, val, test\",\n \"def datasets(self):\\n return [Dataset.GWAS_CATALOG, Dataset.CLINVAR, Dataset.EFO]\",\n \"def set_resource_data(self, resource, meta):\\n\\n # map resource data names to SAM required data names\\n var_map = {'speed': 'windspeed',\\n 'direction': 'winddirection',\\n 'airtemperature': 'temperature',\\n 'temp': 'temperature',\\n 'surfacepressure': 'pressure',\\n 'relativehumidity': 'rh',\\n 'humidity': 'rh',\\n }\\n lower_case = {k: k.lower().replace(' ', '').replace('_', '')\\n for k in resource.columns}\\n resource = resource.rename(mapper=lower_case, axis='columns')\\n resource = resource.rename(mapper=var_map, axis='columns')\\n\\n data_dict = {}\\n var_list = ['temperature', 'pressure', 'windspeed', 'winddirection']\\n if 'winddirection' not in resource:\\n resource['winddirection'] = 0.0\\n\\n time_index = resource.index\\n self.time_interval = self.get_time_interval(resource.index.values)\\n\\n data_dict['fields'] = [1, 2, 3, 4]\\n data_dict['heights'] = 4 * [self.sam_sys_inputs['wind_turbine_hub_ht']]\\n\\n if 'rh' in resource:\\n # set relative humidity for icing.\\n rh = self.ensure_res_len(resource['rh'].values, time_index)\\n n_roll = int(meta['timezone'] * self.time_interval)\\n rh = np.roll(rh, n_roll, axis=0)\\n data_dict['rh'] = rh.tolist()\\n\\n # must be set as matrix in [temperature, pres, speed, direction] order\\n # ensure that resource array length is multiple of 8760\\n # roll the truncated resource array to local timezone\\n temp = self.ensure_res_len(resource[var_list].values, time_index)\\n n_roll = int(meta['timezone'] * self.time_interval)\\n temp = np.roll(temp, n_roll, axis=0)\\n data_dict['data'] = temp.tolist()\\n\\n data_dict['lat'] = meta['latitude']\\n data_dict['lon'] = meta['longitude']\\n data_dict['tz'] = meta['timezone']\\n data_dict['elev'] = meta['elevation']\\n\\n time_index = self.ensure_res_len(time_index, time_index)\\n data_dict['minute'] = time_index.minute\\n data_dict['hour'] = time_index.hour\\n data_dict['year'] = time_index.year\\n data_dict['month'] = time_index.month\\n data_dict['day'] = time_index.day\\n\\n # add resource data to self.data and clear\\n self['wind_resource_data'] = data_dict\\n self['wind_resource_model_choice'] = 0\",\n \"def __init__(self, data):\\n # check if dataset contains time information\\n # (fetched from bootloader storage)\\n if len(data) == 61:\\n (_, seconds, minutes, hours, days, months, years) = struct.unpack(\\n '<55sBBBBBB', data)\\n self.date = datetime(2000 + years, months, days, hours, minutes,\\n seconds)\\n\\n # Only parse preceding data\\n data = data[:55]\\n power = [0, 0]\\n kWh = [0, 0]\\n MWh = [0, 0]\\n (_, digital, speed, active, power[0], kWh[0], MWh[0], power[1], kWh[1],\\n MWh[1]) = struct.unpack('<32sH4sBLHHLHH', data)\\n\\n analog = struct.unpack(\\n '<{}{}'.format('H' * 16, 'x' * (len(data) - 32)), data)\\n\\n self.analog = {}\\n for channel in range(0, 16):\\n self.analog[channel + 1] = round(\\n self._convert_analog(analog[channel]), 3)\\n\\n self.digital = {}\\n for channel in range(0, 16):\\n self.digital[channel + 1] = self._convert_digital(digital, channel)\\n\\n '''\\n self.speed = {}\\n for channel in range(0, 4):\\n self.speed[channel + 1] = round(\\n self._convert_speed(speed[channel]), 3)\\n \\n\\n self.energy = {}\\n for channel in range(0, 2):\\n self.energy[channel + 1] = round(\\n self._convert_energy(MWh[channel], kWh[channel], active,\\n channel), 3)\\n \\n\\n self.power = {}\\n for channel in range(0, 2):\\n self.power[channel + 1] = round(\\n self._convert_power(power[channel], active, channel), 3)\\n '''\",\n \"def makeData(datasetNum=0,windowSize=30,rawImages=False,delOuts='No',\\r\\n timesOut=0,savePath=saveDataPath,jobPathPrint=os.path.join(homeDic,'Tesis','results'),\\r\\n hists='No'):\\r\\n startTime = time.time()\\r\\n dataBaseDict = gD.createDataset(datasetNum,windowSize,rawImages,delOuts,\\r\\n timesOut,jobPathPrint)\\r\\n endTime = time.time()\\r\\n \\r\\n runningTime = endTime - startTime\\r\\n print('Total minutes used to create the data base: ', runningTime/60)\\r\\n \\r\\n dataSets = ['SC', 'ST']\\r\\n dataType = dataSets[datasetNum]\\r\\n \\r\\n if rawImages:\\r\\n imgType = 'raw'\\r\\n else:\\r\\n imgType = 'amp'\\r\\n dataBaseName = 'dataBaseDict_{}_{}_{}_{}.pkl'\\r\\n dataBasefile = dataBaseName.format(dataType,imgType,windowSize,timesOut)\\r\\n dataSavePath = os.path.join(savePath,dataBasefile)\\r\\n \\r\\n pickle.dump( dataBaseDict, open(dataSavePath, 'wb'), \\r\\n pickle.HIGHEST_PROTOCOL)\\r\\n print('Saved dataBase')\\r\\n \\r\\n if hists == 'Yes':\\r\\n gD.getHist(dataBaseDict) \\r\\n return dataBaseDict\",\n \"def create(self):\\n\\n for sample_name, sample_info in self.samples.items():\\n if not sample_info[\\\"use_it\\\"]:\\n continue\\n process_name = sample_info[\\\"process_name_specific\\\"]\\n sample_category = sample_info[\\\"sample_category\\\"]\\n is_mc = (sample_info[\\\"type\\\"] == \\\"mc\\\")\\n\\n logging.info(\\\"Building dictionaries for sample %s...\\\" % process_name)\\n for charge_selection in self.charge_selections:\\n central_or_shift_extensions = [\\\"\\\", \\\"hadd\\\", \\\"addBackgrounds\\\"]\\n central_or_shifts_extended = central_or_shift_extensions + self.central_or_shifts\\n for central_or_shift_or_dummy in central_or_shifts_extended:\\n process_name_extended = [ process_name, \\\"hadd\\\" ]\\n for process_name_or_dummy in process_name_extended:\\n if central_or_shift_or_dummy in [ \\\"hadd\\\" ] and process_name_or_dummy in [ \\\"hadd\\\" ]:\\n continue\\n if central_or_shift_or_dummy != \\\"central\\\" and central_or_shift_or_dummy not in central_or_shift_extensions:\\n if not is_mc:\\n continue\\n if not self.accept_central_or_shift(central_or_shift_or_dummy, sample_info):\\n continue\\n\\n key_dir = getKey(process_name_or_dummy, charge_selection, central_or_shift_or_dummy)\\n for dir_type in [ DKEY_CFGS, DKEY_HIST, DKEY_LOGS, DKEY_RLES ]:\\n initDict(self.dirs, [ key_dir, dir_type ])\\n if dir_type in [ DKEY_CFGS, DKEY_LOGS ]:\\n self.dirs[key_dir][dir_type] = os.path.join(self.get_dir_type(dir_type), dir_type, self.channel,\\n \\\"_\\\".join([ charge_selection ]), process_name_or_dummy, central_or_shift_or_dummy)\\n else:\\n self.dirs[key_dir][dir_type] = os.path.join(self.outputDir, dir_type, self.channel,\\n \\\"_\\\".join([ charge_selection ]), process_name_or_dummy)\\n for subdirectory in [ \\\"comp_jetToTauFakeRate\\\", \\\"makePlots\\\" ]:\\n key_dir = getKey(subdirectory)\\n for dir_type in [ DKEY_CFGS, DKEY_HIST, DKEY_LOGS, DKEY_DCRD, DKEY_PLOT ]:\\n initDict(self.dirs, [ key_dir, dir_type ])\\n if dir_type in [ DKEY_CFGS, DKEY_LOGS, DKEY_DCRD, DKEY_PLOT ]:\\n self.dirs[key_dir][dir_type] = os.path.join(self.get_dir_type(dir_type), dir_type, self.channel, subdirectory)\\n else:\\n self.dirs[key_dir][dir_type] = os.path.join(self.outputDir, dir_type, self.channel, subdirectory)\\n for dir_type in [ DKEY_CFGS, DKEY_SCRIPTS, DKEY_HIST, DKEY_LOGS, DKEY_DCRD, DKEY_PLOT, DKEY_HADD_RT ]:\\n initDict(self.dirs, [ dir_type ])\\n if dir_type in [ DKEY_CFGS, DKEY_SCRIPTS, DKEY_LOGS, DKEY_DCRD, DKEY_PLOT, DKEY_HADD_RT ]:\\n self.dirs[dir_type] = os.path.join(self.get_dir_type(dir_type), dir_type, self.channel)\\n else:\\n self.dirs[dir_type] = os.path.join(self.outputDir, dir_type, self.channel)\\n\\n numDirectories = 0\\n for key in self.dirs.keys():\\n if type(self.dirs[key]) == dict:\\n numDirectories += len(self.dirs[key])\\n else:\\n numDirectories += 1\\n logging.info(\\\"Creating directory structure (numDirectories = %i)\\\" % numDirectories)\\n numDirectories_created = 0;\\n frac = 1\\n for key in self.dirs.keys():\\n if type(self.dirs[key]) == dict:\\n for dir_type in self.dirs[key].keys():\\n create_if_not_exists(self.dirs[key][dir_type])\\n numDirectories_created += len(self.dirs[key])\\n else:\\n create_if_not_exists(self.dirs[key])\\n numDirectories_created = numDirectories_created + 1\\n while 100*numDirectories_created >= frac*numDirectories:\\n logging.info(\\\" %i%% completed\\\" % frac)\\n frac = frac + 1\\n logging.info(\\\"Done.\\\")\\n\\n inputFileLists = {}\\n for sample_name, sample_info in self.samples.items():\\n if not sample_info[\\\"use_it\\\"]:\\n continue\\n logging.info(\\\"Checking input files for sample %s\\\" % sample_info[\\\"process_name_specific\\\"])\\n inputFileLists[sample_name] = generateInputFileList(sample_info, self.max_files_per_job)\\n\\n self.inputFileIds = {}\\n for sample_name, sample_info in self.samples.items():\\n if not sample_info[\\\"use_it\\\"]:\\n continue\\n\\n process_name = sample_info[\\\"process_name_specific\\\"]\\n inputFileList = inputFileLists[sample_name]\\n\\n logging.info(\\\"Creating configuration files to run '%s' for sample %s\\\" % (self.executable_analyze, process_name))\\n\\n is_mc = (sample_info[\\\"type\\\"] == \\\"mc\\\")\\n sample_category = sample_info[\\\"sample_category\\\"]\\n\\n for charge_selection in self.charge_selections:\\n for central_or_shift in self.central_or_shifts:\\n \\n if central_or_shift != \\\"central\\\" and not is_mc:\\n continue\\n if not self.accept_central_or_shift(central_or_shift, sample_info):\\n continue\\n\\n # build config files for executing analysis code\\n key_analyze_dir = getKey(process_name, charge_selection, central_or_shift)\\n\\n for jobId in inputFileList.keys():\\n\\n analyze_job_tuple = (process_name, charge_selection, central_or_shift, jobId)\\n key_analyze_job = getKey(*analyze_job_tuple)\\n ntupleFiles = inputFileList[jobId]\\n if len(ntupleFiles) == 0:\\n logging.warning(\\\"No input ntuples for %s --> skipping job !!\\\" % (key_analyze_job))\\n continue\\n\\n cfgFile_modified_path = os.path.join(self.dirs[key_analyze_dir][DKEY_CFGS], \\\"analyze_%s_%s_%s_%i_cfg.py\\\" % analyze_job_tuple)\\n logFile_path = os.path.join(self.dirs[key_analyze_dir][DKEY_LOGS], \\\"analyze_%s_%s_%s_%i.log\\\" % analyze_job_tuple)\\n histogramFile_path = os.path.join(self.dirs[key_analyze_dir][DKEY_HIST], \\\"analyze_%s_%s_%s_%i.root\\\" % analyze_job_tuple)\\n rleOutputFile_path = os.path.join(self.dirs[key_analyze_dir][DKEY_RLES], \\\"rle_%s_%s_%s_%i.txt\\\" % analyze_job_tuple) \\\\\\n if self.select_rle_output else \\\"\\\"\\n\\n self.jobOptions_analyze[key_analyze_job] = {\\n 'ntupleFiles' : ntupleFiles,\\n 'cfgFile_modified' : cfgFile_modified_path,\\n 'histogramFile' : histogramFile_path,\\n 'logFile' : logFile_path,\\n 'chargeSelection' : charge_selection,\\n 'jet_minPt' : self.jet_minPt,\\n 'jet_maxPt' : self.jet_maxPt,\\n 'jet_minAbsEta' : self.jet_minAbsEta,\\n 'jet_maxAbsEta' : self.jet_maxAbsEta,\\n 'hadTau_selection_tight' : self.hadTau_selection_tight,\\n 'hadTauSelection_denominator' : self.hadTau_selection_denominator,\\n 'hadTauSelections_numerator' : self.hadTau_selections_numerator,\\n 'trigMatchingOptions' : self.trigMatchingOptions,\\n 'selEventsFileName_output' : rleOutputFile_path,\\n 'absEtaBins' : self.absEtaBins,\\n 'decayModes' : self.decayModes,\\n 'central_or_shift' : central_or_shift,\\n 'central_or_shifts_local' : [],\\n 'apply_hlt_filter' : self.hlt_filter,\\n }\\n self.createCfg_analyze(self.jobOptions_analyze[key_analyze_job], sample_info)\\n\\n # initialize input and output file names for hadd_stage1\\n key_hadd_stage1_dir = getKey(process_name, charge_selection)\\n hadd_stage1_job_tuple = (process_name, charge_selection)\\n key_hadd_stage1_job = getKey(*hadd_stage1_job_tuple)\\n if not key_hadd_stage1_job in self.inputFiles_hadd_stage1:\\n self.inputFiles_hadd_stage1[key_hadd_stage1_job] = []\\n self.inputFiles_hadd_stage1[key_hadd_stage1_job].append(self.jobOptions_analyze[key_analyze_job]['histogramFile'])\\n self.outputFile_hadd_stage1[key_hadd_stage1_job] = os.path.join(self.dirs[key_hadd_stage1_dir][DKEY_HIST],\\n \\\"hadd_stage1_%s_%s.root\\\" % hadd_stage1_job_tuple)\\n\\n # initialize input and output file names for hadd_stage2\\n key_hadd_stage1_job = getKey(process_name, charge_selection)\\n key_hadd_stage2_dir = getKey(\\\"hadd\\\", charge_selection)\\n key_hadd_stage2_job = getKey(charge_selection)\\n if not key_hadd_stage2_job in self.inputFiles_hadd_stage2:\\n self.inputFiles_hadd_stage2[key_hadd_stage2_job] = []\\n self.inputFiles_hadd_stage2[key_hadd_stage2_job].append(self.outputFile_hadd_stage1[key_hadd_stage1_job])\\n self.outputFile_hadd_stage2[key_hadd_stage2_job] = os.path.join(self.dirs[key_hadd_stage2_dir][DKEY_HIST],\\n \\\"hadd_stage2_%s.root\\\" % charge_selection)\\n\\n logging.info(\\\"Creating configuration files for executing 'comp_jetToTauFakeRate'\\\")\\n for charge_selection in self.charge_selections:\\n charge_key = \\\"comp_%s\\\" % charge_selection\\n self.comp_input_files[charge_key] = []\\n for trigMatchingOption in self.trigMatchingOptions:\\n key_hadd_stage2_job = getKey(charge_selection)\\n key_comp_jetToTauFakeRate_dir = getKey(\\\"comp_jetToTauFakeRate\\\")\\n key_comp_jetToTauFakeRate_job = getKey(charge_selection, trigMatchingOption)\\n self.jobOptions_comp_jetToTauFakeRate[key_comp_jetToTauFakeRate_job] = {\\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2_job],\\n 'cfgFile_modified' : os.path.join(\\n self.dirs[DKEY_CFGS], \\\"comp_jetToTauFakeRate_%s_%s_cfg.py\\\" % (charge_selection, trigMatchingOption)),\\n 'outputFile' : os.path.join(\\n self.dirs[DKEY_HIST], \\\"comp_jetToTauFakeRate_%s_%s.root\\\" % (charge_selection, trigMatchingOption)),\\n 'logFile' : os.path.join(\\n self.dirs[DKEY_LOGS], \\\"comp_jetToTauFakeRate_%s_%s.log\\\" % (charge_selection, trigMatchingOption)),\\n 'looseRegion' : \\\"jetToTauFakeRate_%s_%s/denominator/\\\" % (charge_selection, trigMatchingOption),\\n 'tightRegion' : \\\"jetToTauFakeRate_%s_%s/numerator/\\\" % (charge_selection, trigMatchingOption),\\n 'absEtaBins' : self.absEtaBins,\\n 'ptBins' : self.ptBins,\\n 'decayModes' : self.decayModes,\\n 'hadTauSelections' : self.hadTau_selections_numerator,\\n 'trigMatchingOption' : trigMatchingOption,\\n 'plots_outputFileName' : os.path.join(self.dirs[key_comp_jetToTauFakeRate_dir][DKEY_PLOT], \\\"comp_jetToTauFakeRate_%s.png\\\" % trigMatchingOption)\\n }\\n self.createCfg_comp_jetToTauFakeRate(self.jobOptions_comp_jetToTauFakeRate[key_comp_jetToTauFakeRate_job])\\n comp_output = self.jobOptions_comp_jetToTauFakeRate[key_comp_jetToTauFakeRate_job]['outputFile']\\n self.targets.append(comp_output)\\n self.comp_input_files[charge_key].append(comp_output)\\n self.comp_output_files[charge_key] = os.path.join(self.dirs[DKEY_HIST], \\\"comp_jetToTauFakeRate_%s.root\\\" % charge_selection)\\n\\n logging.info(\\\"Creating configuration files to run 'makePlots'\\\")\\n for charge_selection in self.charge_selections:\\n key_hadd_stage2_job = getKey(charge_selection)\\n key_makePlots_dir = getKey(\\\"makePlots\\\")\\n key_makePlots_job = getKey(charge_selection) \\n self.jobOptions_make_plots[key_makePlots_job] = {\\n 'executable' : self.executable_make_plots,\\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2_job],\\n 'cfgFile_modified' : os.path.join(\\n self.dirs[key_makePlots_dir][DKEY_CFGS], \\\"makePlots_%s_cfg.py\\\" % self.channel),\\n 'outputFile' : os.path.join(\\n self.dirs[key_makePlots_dir][DKEY_PLOT], \\\"makePlots_%s.png\\\" % self.channel),\\n 'histogramDir' : \\\"jetToTauFakeRate_%s\\\" % charge_selection,\\n 'label' : None,\\n 'make_plots_backgrounds' : self.make_plots_backgrounds\\n }\\n self.createCfg_makePlots(self.jobOptions_make_plots[key_makePlots_job])\\n for trigMatchingOption in self.trigMatchingOptions:\\n self.cfgFile_make_plots = self.cfgFile_make_plots_denominator\\n for absEtaBin in [ \\\"absEtaLt1_5\\\", \\\"absEta1_5to9_9\\\" ]:\\n key_hadd_stage2_job = getKey(charge_selection)\\n key_makePlots_job = getKey(charge_selection, trigMatchingOption, absEtaBin, \\\"denominator\\\") \\n self.jobOptions_make_plots[key_makePlots_job] = {\\n 'executable' : self.executable_make_plots,\\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2_job],\\n 'cfgFile_modified' : os.path.join(\\n self.dirs[key_makePlots_dir][DKEY_CFGS], \\\"makePlots_%s_%s_%s_denominator_%s_cfg.py\\\" % \\\\\\n (self.channel, charge_selection, trigMatchingOption, absEtaBin)),\\n 'outputFile' : os.path.join(\\n self.dirs[key_makePlots_dir][DKEY_PLOT], \\\"makePlots_%s_%s_%s_denominator_%s.png\\\" % (self.channel, charge_selection, trigMatchingOption, absEtaBin)),\\n 'histogramDir' : \\\"jetToTauFakeRate_%s_%s/denominator/%s\\\" % (charge_selection, trigMatchingOption, absEtaBin),\\n 'label' : None,\\n 'make_plots_backgrounds' : self.make_plots_backgrounds\\n }\\n self.createCfg_makePlots(self.jobOptions_make_plots[key_makePlots_job])\\n for hadTau_selection_numerator in self.hadTau_selections_numerator:\\n key_hadd_stage2_job = getKey(charge_selection)\\n key_makePlots_job = getKey(charge_selection, trigMatchingOption, absEtaBin, \\\"numerator\\\", hadTau_selection_numerator)\\n self.jobOptions_make_plots[key_makePlots_job] = {\\n 'executable' : self.executable_make_plots,\\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2_job],\\n 'cfgFile_modified' : os.path.join(\\n self.dirs[key_makePlots_dir][DKEY_CFGS], \\\"makePlots_%s_%s_%s_numerator_%s_%s_cfg.py\\\" % \\\\\\n (self.channel, charge_selection, trigMatchingOption, hadTau_selection_numerator, absEtaBin)),\\n 'outputFile' : os.path.join(\\n self.dirs[key_makePlots_dir][DKEY_PLOT], \\\"makePlots_%s_%s_%s_numerator_%s_%s.png\\\" % \\\\\\n (self.channel, charge_selection, trigMatchingOption, hadTau_selection_numerator, absEtaBin)),\\n 'histogramDir' : \\\"jetToTauFakeRate_%s_%s/numerator/%s/%s\\\" % (charge_selection, trigMatchingOption, hadTau_selection_numerator, absEtaBin),\\n 'label' : None,\\n 'make_plots_backgrounds' : self.make_plots_backgrounds\\n }\\n self.createCfg_makePlots(self.jobOptions_make_plots[key_makePlots_job])\\n\\n self.sbatchFile_analyze = os.path.join(self.dirs[DKEY_SCRIPTS], \\\"sbatch_analyze_%s.py\\\" % self.channel)\\n self.sbatchFile_comp_jetToTauFakeRate = os.path.join(self.dirs[DKEY_SCRIPTS], \\\"sbatch_comp_jetToTauFakeRate.py\\\")\\n if self.is_sbatch:\\n logging.info(\\\"Creating script for submitting '%s' jobs to batch system\\\" % self.executable_analyze)\\n self.createScript_sbatch_analyze(self.executable_analyze, self.sbatchFile_analyze, self.jobOptions_analyze)\\n logging.info(\\\"Creating script for submitting '%s' jobs to batch system\\\" % self.executable_comp_jetToTauFakeRate)\\n self.createScript_sbatch(self.executable_comp_jetToTauFakeRate, self.sbatchFile_comp_jetToTauFakeRate, self.jobOptions_comp_jetToTauFakeRate)\\n\\n lines_makefile = []\\n self.addToMakefile_analyze(lines_makefile)\\n self.addToMakefile_hadd_stage1(lines_makefile)\\n self.addToMakefile_hadd_stage2(lines_makefile, make_dependency = \\\"phony_hadd_stage1\\\", max_mem = '4096M')\\n self.addToMakefile_comp_jetToTauFakeRate(lines_makefile)\\n self.addToMakefile_comp_hadd(lines_makefile)\\n self.addToMakefile_make_plots(lines_makefile)\\n self.createMakefile(lines_makefile)\\n\\n logging.info(\\\"Done.\\\")\\n\\n return self.num_jobs\",\n \"def __init__(self, node, type, ds, mr, rrdtool_step):\\n\\n self.node = node\\n if type == \\\"host\\\":\\n self.data = ds.get_host_data()[node]\\n self.topdir, self.file_prefix, outfiles = ds.get_host_outfiles()\\n self.outfiles = outfiles[self.node]\\n elif type == \\\"vm\\\":\\n self.data = ds.get_vm_data()[node]\\n self.topdir, self.file_prefix, outfiles = ds.get_vm_outfiles()\\n self.outfiles = outfiles[self.node]\\n else:\\n raise Exception(\\\"Invalide type value: %s\\\" % type)\\n self.start, self.end, self.datasource_step = ds.get_time_info()\\n self.rrdtool_step = rrdtool_step\\n self.conrate = self.rrdtool_step / self.datasource_step\\n\\n if len(self.data)/self.conrate < 1:\\n logging.warn(\\\"%s doesn't have enough data. Skipped it.\\\" % node)\\n self.outfiles[\\\"rrdfile\\\"] = self.SKIPPED\\n self.rrdfile = None\\n return\\n\\n self.outfiles[\\\"rrdfile\\\"] = \\\"%s/%s_%s.rrd\\\" % (self.topdir,\\n self.file_prefix, node)\\n self.rrdfile = self.outfiles[\\\"rrdfile\\\"]\\n\\n # Create db\\n logging.info(\\\"Creating rrdtool database for %s\\\" % node)\\n dslist = [\\\"DS:%s:%s:%d:0:U\\\" % (mobj.name, mobj.type,\\n 2*self.datasource_step)\\n for mname, mobj in mr.items()]\\n self.rrdtool_cmd(\\\"create\\\", self.outfiles[\\\"rrdfile\\\"],\\n dslist,\\n \\\"--start\\\", str(self.start - 1),\\n \\\"--step\\\", str(self.datasource_step),\\n \\\"RRA:AVERAGE:0.5:%d:%d\\\" %\\n (self.conrate, len(self.data)/self.conrate),\\n log_level=logging.DEBUG)\\n\\n # Import data\\n logging.info(\\\"Importing data to the database\\\")\\n fields = [mname for mname, mobj in mr.items()]\\n for d in self.data:\\n template = \\\":\\\".join(fields)\\n # If the data doesn't have a field for this metric or if it has\\n # but the value of the field is \\\"NA\\\", change it to \\\"U\\\" (this means\\n # unknown value in RRDTool).\\n values = \\\":\\\".join([d.get(k, \\\"U\\\").replace(\\\"NA\\\", \\\"U\\\")\\n for k in fields])\\n self.rrdtool_cmd(\\\"update\\\", self.outfiles[\\\"rrdfile\\\"],\\n \\\"--template\\\", template,\\n \\\"%s:%s\\\" % (d[\\\"time_h\\\"], values))\",\n \"def set_up(self, in_times):\\n sum_xr = xr.DataArray(np.ma.zeros(self.grid_shape, dtype=np.float64), dims=self.dims)\\n sumsq_xr = xr.DataArray(np.ma.zeros(self.grid_shape, dtype=np.float64), dims=self.dims)\\n ds_dict = {\\\"variable\\\": self.variable,\\n \\\"num_times\\\": 0,\\n \\\"times\\\": xr.DataArray(in_times, dims=[\\\"time_counter\\\"]),\\n \\\"sum\\\": sum_xr,\\n \\\"sumsq\\\": sumsq_xr}\\n if self.num_cross_covs != 0:\\n self.covs_shape = ([len(self.dircn_dims), self.num_cross_covs] + list(self.grid_shape))\\n dircn_xr = xr.DataArray(self.dircn_dims, dims=[\\\"dircn\\\"])\\n sumsq_xr = xr.DataArray(np.ma.zeros(self.covs_shape, dtype=np.float64),\\n dims=self.covs_dims)\\n ds_dict.update({\\\"directions\\\": dircn_xr,\\n self.nam_sumsq_var: sumsq_xr})\\n self.covs_ds = xr.Dataset(ds_dict).chunk(self.CHUNK_STATS_IO)\",\n \"def get_monitoring_data_specs(self):\\n space = [self.get_input_space()]\\n space += self.get_output_space()\\n space = CompositeSpace(space)\\n source = (self.get_input_source(), self.get_target_source(), 'second_targets')\\n return (space, source)\",\n \"def __init__(self):\\n self.TECRDB_compounds_data_dict = {}\\n self.TECRDB_compounds_pH7_species_id_dict = {}\\n self.TECRDB_compounds_least_H_sid_dict = {}\\n self.get_TECRDB_compounds_data()\",\n \"def __init__(self,site,startDate,endDate,path='verif_data/'):\\n self.site = site.upper()\\n self.startDateTime = datetime.strptime(startDate,'%Y%m%d')\\n self.endDateTime = datetime.strptime(endDate,'%Y%m%d')\\n years = range(self.startDateTime.year,self.endDateTime.year + 1)\\n data = []\\n for year in years:\\n self.filename=path + self.site + '_asos_' + str(year) + '.txt'\\n datafile = open(self.filename)\\n for line in datafile:\\n if line[0] != '#':\\n if 'station' in line:\\n self.header = [x.strip() for x in line[:-1].split(',')]\\n else:\\n dataline = line[:-2].split(',')\\n for i,val in enumerate(dataline[:-1]):\\n if val=='M':\\n dataline[i] = -999\\n dataline[1] = dataline[1].replace(' ','_')\\n dataline[1] = dataline[1].replace('-','')\\n currDateTime = datetime.strptime(dataline[1][:14],'%Y%m%d_%H:%M')\\n if currDateTime >= self.startDateTime and currDateTime <= self.endDateTime:\\n data.append(tuple(dataline))\\n datafile.close()\\n self.datatype = []\\n for item in self.header:\\n if item == 'station':\\n self.datatype.append((item,'S3'))\\n elif 'valid' in item:\\n self.datatype.append(('time','S14'))\\n elif 'skyc' in item:\\n self.datatype.append((item,'S3'))\\n elif item=='metar':\\n self.datatype.append((item,'S99'))\\n else:\\n self.datatype.append((item,float))\\n self.data = np.array(data,dtype=self.datatype)\",\n \"def populate_data(self):\\r\\n # Importing StationData with the standard imports causes a redundancy\\r\\n # problem, so it is imported here only when it is needed.\\r\\n from stationData import StationData\\r\\n # Find data requirements from all plumes.\\r\\n requirements = describe.PLUMES\\r\\n # Loop over plumes and define parameters to be used for pulling data.\\r\\n grib_file = pygrib.open(self.grib_file_path)\\r\\n for req in requirements:\\r\\n (plume,data_types,grid_level_type,grid_level,unused) = req\\r\\n selected = grib_file.select(shortName=data_types,\\r\\n typeOfLevel=grid_level_type,\\r\\n level=grid_level)\\r\\n for i, message in enumerate(selected):\\r\\n if i % 20 == 0:\\r\\n print '%s %s/%s Grib messages processed for %s' %\\\\\\r\\n (PRETEXT, i + 1, len(selected), req[0])\\r\\n for sdo in StationData.instances:\\r\\n if sdo.grib_i is None:\\r\\n StationData.populate_grid_information(message,\\r\\n self.config)\\r\\n sdo.add_data(plume,self.member_name,message)\\r\\n grib_file.close()\\r\\n return\",\n \"def __init__(self, data):\\n self.bees = [Bee(b) for b in data[\\\"bees\\\"]]\\n self.flowers = [Flower(f) for f in data[\\\"flowers\\\"]]\\n self.hives = [Hive(h) for h in data[\\\"hives\\\"]]\",\n \"def get_env_data(inp_path):\\n rain1_str = []\\n rain2_str = []\\n tide_str = []\\n with open(inp_path, 'r') as tmp_file:\\n lines = tmp_file.readlines()\\n for i, l in enumerate(lines):\\n if l.startswith(\\\"[TIMESERIES]\\\"): # find time series section\\n start = i + 3\\n for i, l in enumerate(lines[start:]):\\n if l.startswith('Rain1'):\\n rain1_str.append(l)\\n if l.startswith('Rain2'):\\n rain2_str.append(l)\\n if l.startswith('Tide1'):\\n tide_str.append(l)\\n\\n rain1_data = []\\n rain1_time = []\\n rain2_data = []\\n rain2_time = []\\n tide_data = []\\n tide_time = []\\n for i in rain1_str:\\n rain1_data.append(i.split(' ')[3].rstrip())\\n rain1_time.append(i.split(' ')[1] + \\\" \\\" + i.split(' ')[2])\\n\\n for i in rain2_str:\\n rain2_data.append(i.split(' ')[3].rstrip())\\n rain2_time.append(i.split(' ')[1] + \\\" \\\" + i.split(' ')[2])\\n\\n for i in tide_str:\\n tide_data.append(i.split(' ')[3].rstrip())\\n tide_time.append(i.split(' ')[1] + \\\" \\\" + i.split(' ')[2])\\n\\n rain1_df = pd.DataFrame([rain1_time, rain1_data]).transpose()\\n rain1_df.columns = ['datetime1', 'rain1']\\n rain1_df['datetime1'] = pd.to_datetime(rain1_df['datetime1'], infer_datetime_format=True)\\n rain1_df.set_index(pd.DatetimeIndex(rain1_df['datetime1']), inplace=True)\\n rain1_df['rain1'] = rain1_df['rain1'].astype('float')\\n rain1_df = rain1_df.resample('H').sum()\\n\\n rain2_df = pd.DataFrame([rain2_time, rain2_data]).transpose()\\n rain2_df.columns = ['datetime2', 'rain2']\\n rain2_df['datetime2'] = pd.to_datetime(rain2_df['datetime2'], infer_datetime_format=True)\\n rain2_df.set_index(pd.DatetimeIndex(rain2_df['datetime2']), inplace=True)\\n rain2_df['rain2'] = rain2_df['rain2'].astype('float')\\n rain2_df = rain2_df.resample('H').sum()\\n\\n tide_df = pd.DataFrame([tide_time, tide_data], dtype='float64').transpose()\\n tide_df.columns = ['datetime', 'tide']\\n tide_df['datetime'] = pd.to_datetime(tide_df['datetime'], infer_datetime_format=True)\\n tide_df.set_index(pd.DatetimeIndex(tide_df['datetime']), inplace=True)\\n tide_df['tide'] = tide_df['tide'].astype('float')\\n\\n df = pd.concat([rain1_df['rain1'], rain2_df['rain2'], tide_df['tide']], axis=1)\\n df[['rain1', 'rain2']].fillna(0, inplace=True)\\n df.reset_index(inplace=True)\\n\\n return df\",\n \"def form_data(stocks, init_param):\\r\\n \\r\\n rs = stocks[1].rsi\\r\\n ts = stocks[1].tsi\\r\\n a = 1\\r\\n \\r\\n \\r\\n for date in init_param.train_dates:\\r\\n try:\\r\\n training_data\\r\\n except NameError:\\r\\n training_data = LearningData()\\r\\n training_data.construct(stocks, date, init_param.future_day, init_param.features)\\r\\n else:\\r\\n training_data.append(stocks, date, init_param.future_day, init_param.features)\\r\\n \\r\\n for date in init_param.test_dates:\\r\\n try:\\r\\n test_data\\r\\n except NameError:\\r\\n test_data = LearningData()\\r\\n test_data.construct(stocks, date, init_param.future_day, init_param.features)\\r\\n else:\\r\\n test_data.append(stocks, date, init_param.future_day, init_param.features)\\r\\n \\r\\n #reference_date = dateutl.days_since_1900('1991-01-01')\\r\\n #test_data.construct(stocks,[reference_date, day_history, init_param.future_day])\\r\\n \\r\\n return training_data, test_data\",\n \"def make_data(self): \\n s = numpy.arange(0.0, 10.0, 0.01)\\n s = numpy.reshape(s, (10,10,10))\\n s = numpy.transpose(s)\\n\\n v = numpy.zeros(3000, 'd')\\n v[1::3] = 1.0\\n v = numpy.reshape(v, (10,10,10,3))\\n return s, v\",\n \"def create(self):\\n\\n for sample_name, sample_info in self.samples.items():\\n if not sample_info[\\\"use_it\\\"] or sample_info[\\\"sample_category\\\"] in [ \\\"additional_signal_overlap\\\", \\\"background_data_estimate\\\" ]:\\n continue\\n process_name = sample_info[\\\"process_name_specific\\\"]\\n for charge_selection in self.charge_selections:\\n key_dir = getKey(process_name, charge_selection)\\n for dir_type in [ DKEY_CFGS, DKEY_HIST, DKEY_LOGS, DKEY_RLES ]:\\n initDict(self.dirs, [ key_dir, dir_type ])\\n if dir_type in [ DKEY_CFGS, DKEY_LOGS ]:\\n self.dirs[key_dir][dir_type] = os.path.join(self.configDir, dir_type, self.channel,\\n \\\"_\\\".join([ charge_selection ]), process_name)\\n else:\\n self.dirs[key_dir][dir_type] = os.path.join(self.outputDir, dir_type, self.channel,\\n \\\"_\\\".join([ charge_selection ]), process_name)\\n for dir_type in [ DKEY_CFGS, DKEY_SCRIPTS, DKEY_HIST, DKEY_LOGS, DKEY_DCRD, DKEY_PLOT, DKEY_HADD_RT ]:\\n initDict(self.dirs, [ dir_type ])\\n if dir_type in [ DKEY_CFGS, DKEY_SCRIPTS, DKEY_LOGS, DKEY_DCRD, DKEY_PLOT, DKEY_HADD_RT ]:\\n self.dirs[dir_type] = os.path.join(self.configDir, dir_type, self.channel)\\n else:\\n self.dirs[dir_type] = os.path.join(self.outputDir, dir_type, self.channel)\\n ##print \\\"self.dirs = \\\", self.dirs\\n\\n for key in self.dirs.keys():\\n if type(self.dirs[key]) == dict:\\n for dir_type in self.dirs[key].keys():\\n create_if_not_exists(self.dirs[key][dir_type])\\n else:\\n create_if_not_exists(self.dirs[key])\\n\\n inputFileLists = {}\\n for sample_name, sample_info in self.samples.items():\\n if not sample_info[\\\"use_it\\\"] or sample_info[\\\"sample_category\\\"] in [ \\\"additional_signal_overlap\\\", \\\"background_data_estimate\\\" ]:\\n continue\\n logging.info(\\\"Checking input files for sample %s\\\" % sample_info[\\\"process_name_specific\\\"])\\n inputFileLists[sample_name] = generateInputFileList(sample_name, sample_info, self.max_files_per_job, self.debug)\\n \\n self.inputFileIds = {}\\n for sample_name, sample_info in self.samples.items():\\n if not sample_info[\\\"use_it\\\"] or sample_info[\\\"sample_category\\\"] in [ \\\"additional_signal_overlap\\\", \\\"background_data_estimate\\\" ]:\\n continue\\n\\n process_name = sample_info[\\\"process_name_specific\\\"]\\n\\n logging.info(\\\"Creating configuration files to run '%s' for sample %s\\\" % (self.executable_analyze, process_name)) \\n\\n is_mc = (sample_info[\\\"type\\\"] == \\\"mc\\\")\\n lumi_scale = 1. if not (self.use_lumi and is_mc) else sample_info[\\\"xsection\\\"] * self.lumi / sample_info[\\\"nof_events\\\"]\\n apply_genWeight = sample_info[\\\"apply_genWeight\\\"] if (is_mc and \\\"apply_genWeight\\\" in sample_info.keys()) else False\\n sample_category = sample_info[\\\"sample_category\\\"]\\n triggers = sample_info[\\\"triggers\\\"]\\n apply_trigger_bits = (is_mc and (self.era == \\\"2015\\\" or (self.era == \\\"2016\\\" and sample_info[\\\"reHLT\\\"]))) or not is_mc\\n\\n for charge_selection in self.charge_selections:\\n for central_or_shift in self.central_or_shifts:\\n\\n inputFileList = inputFileLists[sample_name]\\n for jobId in inputFileList.keys():\\n if central_or_shift != \\\"central\\\" and not is_mc:\\n continue\\n if central_or_shift.startswith(\\\"CMS_ttHl_thu_shape_ttH\\\") and sample_category != \\\"signal\\\":\\n continue\\n if central_or_shift.startswith(\\\"CMS_ttHl_thu_shape_ttW\\\") and sample_category != \\\"TTW\\\":\\n continue\\n if central_or_shift.startswith(\\\"CMS_ttHl_thu_shape_ttZ\\\") and sample_category != \\\"TTZ\\\":\\n continue\\n\\n # build config files for executing analysis code\\n key_dir = getKey(process_name, charge_selection)\\n key_analyze_job = getKey(process_name, charge_selection, central_or_shift, jobId)\\n\\n ntupleFiles = inputFileList[jobId]\\n if len(ntupleFiles) == 0:\\n print \\\"Warning: ntupleFiles['%s'] = %s --> skipping job !!\\\" % (key_job, ntupleFiles)\\n continue\\n self.jobOptions_analyze[key_analyze_job] = {\\n 'ntupleFiles' : ntupleFiles,\\n 'cfgFile_modified' : os.path.join(self.dirs[key_dir][DKEY_CFGS], \\\"analyze_%s_%s_%s_%s_%i_cfg.py\\\" % \\\\\\n (self.channel, process_name, charge_selection, central_or_shift, jobId)),\\n 'histogramFile' : os.path.join(self.dirs[key_dir][DKEY_HIST], \\\"%s_%s_%s_%i.root\\\" % \\\\\\n (process_name, charge_selection, central_or_shift, jobId)),\\n 'logFile' : os.path.join(self.dirs[key_dir][DKEY_LOGS], \\\"analyze_%s_%s_%s_%s_%i.log\\\" % \\\\\\n (self.channel, process_name, charge_selection, central_or_shift, jobId)),\\n 'sample_category' : sample_category,\\n 'triggers' : sample_info[\\\"triggers\\\"],\\n 'charge_selection' : charge_selection,\\n 'jet_minPt' : self.jet_minPt,\\n 'jet_maxPt' : self.jet_maxPt,\\n 'jet_minAbsEta' : self.jet_minAbsEta,\\n 'jet_maxAbsEta' : self.jet_maxAbsEta,\\n 'hadTau_selection_denominator' : self.hadTau_selection_denominator,\\n 'hadTau_selections_numerator' : self.hadTau_selections_numerator,\\n 'absEtaBins' : self.absEtaBins,\\n ##'use_HIP_mitigation_mediumMuonId' : sample_info[\\\"use_HIP_mitigation_mediumMuonId\\\"],\\n 'use_HIP_mitigation_mediumMuonId' : True,\\n 'is_mc' : is_mc,\\n 'central_or_shift' : central_or_shift,\\n 'lumi_scale' : 1. if not (self.use_lumi and is_mc) else sample_info[\\\"xsection\\\"] * self.lumi / sample_info[\\\"nof_events\\\"],\\n 'apply_genWeight' : sample_info[\\\"genWeight\\\"] if (is_mc and \\\"genWeight\\\" in sample_info.keys()) else False,\\n 'apply_trigger_bits' : (is_mc and (self.era == \\\"2015\\\" or (self.era == \\\"2016\\\" and sample_info[\\\"reHLT\\\"]))) or not is_mc,\\n }\\n self.createCfg_analyze(self.jobOptions_analyze[key_analyze_job])\\n\\n # initialize input and output file names for hadd_stage1\\n key_hadd_stage1 = getKey(process_name, charge_selection)\\n if not key_hadd_stage1 in self.inputFiles_hadd_stage1:\\n self.inputFiles_hadd_stage1[key_hadd_stage1] = []\\n self.inputFiles_hadd_stage1[key_hadd_stage1].append(self.jobOptions_analyze[key_analyze_job]['histogramFile'])\\n self.outputFile_hadd_stage1[key_hadd_stage1] = os.path.join(self.dirs[DKEY_HIST], \\\"histograms_harvested_stage1_%s_%s_%s.root\\\" % \\\\\\n (self.channel, process_name, charge_selection))\\n\\n # initialize input and output file names for hadd_stage2\\n key_hadd_stage1 = getKey(process_name, charge_selection)\\n key_hadd_stage2 = getKey(charge_selection)\\n if not key_hadd_stage2 in self.inputFiles_hadd_stage2:\\n self.inputFiles_hadd_stage2[key_hadd_stage2] = []\\n self.inputFiles_hadd_stage2[key_hadd_stage2].append(self.outputFile_hadd_stage1[key_hadd_stage1])\\n self.outputFile_hadd_stage2[key_hadd_stage2] = os.path.join(self.dirs[DKEY_HIST], \\\"histograms_harvested_stage2_%s_%s.root\\\" % \\\\\\n (self.channel, charge_selection))\\n\\n logging.info(\\\"Creating configuration files for executing 'comp_jetToTauFakeRate'\\\")\\n for charge_selection in self.charge_selections:\\n key_comp_jetToTauFakeRate_job = getKey(charge_selection)\\n key_hadd_stage2 = getKey(charge_selection)\\n self.jobOptions_comp_jetToTauFakeRate[key_comp_jetToTauFakeRate_job] = {\\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2],\\n 'cfgFile_modified' : os.path.join(\\n self.dirs[DKEY_CFGS], \\\"comp_jetToTauFakeRate_%s_cfg.py\\\" % charge_selection),\\n 'outputFile' : os.path.join(\\n self.dirs[DKEY_HIST], \\\"comp_jetToTauFakeRate_%s.root\\\" % charge_selection),\\n 'logFile' : os.path.join(\\n self.dirs[DKEY_LOGS], \\\"comp_jetToTauFakeRate_%s.log\\\" % charge_selection),\\n 'looseRegion' : \\\"jetToTauFakeRate_%s/denominator/\\\" % charge_selection,\\n 'tightRegion' : \\\"jetToTauFakeRate_%s/numerator/\\\" % charge_selection,\\n 'absEtaBins' : self.absEtaBins,\\n 'ptBins' : self.ptBins\\n }\\n self.createCfg_comp_jetToTauFakeRate(self.jobOptions_comp_jetToTauFakeRate[key_comp_jetToTauFakeRate_job])\\n self.targets.append(self.jobOptions_comp_jetToTauFakeRate[key_comp_jetToTauFakeRate_job]['outputFile'])\\n\\n logging.info(\\\"Creating configuration files to run 'makePlots'\\\")\\n for charge_selection in self.charge_selections:\\n key_makePlots_job = getKey(charge_selection)\\n key_hadd_stage2 = getKey(charge_selection)\\n self.jobOptions_make_plots[key_makePlots_job] = {\\n 'executable' : self.executable_make_plots,\\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2],\\n 'cfgFile_modified' : os.path.join(\\n self.dirs[DKEY_CFGS], \\\"makePlots_%s_cfg.py\\\" % self.channel),\\n 'outputFile' : os.path.join(\\n self.dirs[DKEY_PLOT], \\\"makePlots_%s.png\\\" % self.channel),\\n 'histogramDir' : \\\"jetToTauFakeRate_%s\\\" % charge_selection,\\n 'label' : None,\\n 'make_plots_backgrounds' : [ \\\"TT\\\", \\\"TTW\\\", \\\"TTZ\\\", \\\"EWK\\\", \\\"Rares\\\" ],\\n }\\n self.createCfg_makePlots(self.jobOptions_make_plots[key_makePlots_job])\\n self.cfgFile_make_plots = self.cfgFile_make_plots_denominator\\n for absEtaBin in [ \\\"absEtaLt1_5\\\", \\\"absEta1_5to9_9\\\" ]:\\n key_makePlots_job = getKey(charge_selection, absEtaBin, \\\"denominator\\\")\\n key_hadd_stage2 = getKey(charge_selection)\\n self.jobOptions_make_plots[key_makePlots_job] = {\\n 'executable' : self.executable_make_plots,\\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2],\\n 'cfgFile_modified' : os.path.join(\\n self.dirs[DKEY_CFGS], \\\"makePlots_%s_%s_denominator_%s_cfg.py\\\" % (self.channel, charge_selection, absEtaBin)),\\n 'outputFile' : os.path.join(\\n self.dirs[DKEY_PLOT], \\\"makePlots_%s_%s_denominator_%s.png\\\" % (self.channel, charge_selection, absEtaBin)),\\n 'histogramDir' : \\\"jetToTauFakeRate_%s/denominator/%s\\\" % (charge_selection, absEtaBin),\\n 'label' : None,\\n 'make_plots_backgrounds' : [ \\\"TT\\\", \\\"TTW\\\", \\\"TTZ\\\", \\\"EWK\\\", \\\"Rares\\\" ],\\n }\\n self.createCfg_makePlots(self.jobOptions_make_plots[key_makePlots_job])\\n for hadTau_selection_numerator in self.hadTau_selections_numerator:\\n key_makePlots_job = getKey(charge_selection, absEtaBin, \\\"numerator\\\", hadTau_selection_numerator)\\n key_hadd_stage2 = getKey(charge_selection)\\n self.jobOptions_make_plots[key_makePlots_job] = {\\n 'executable' : self.executable_make_plots,\\n 'inputFile' : self.outputFile_hadd_stage2[key_hadd_stage2],\\n 'cfgFile_modified' : os.path.join(\\n self.dirs[DKEY_CFGS], \\\"makePlots_%s_%s_numerator_%s_%s_cfg.py\\\" % (self.channel, charge_selection, hadTau_selection_numerator, absEtaBin)),\\n 'outputFile' : os.path.join(\\n self.dirs[DKEY_PLOT], \\\"makePlots_%s_%s_numerator_%s_%s.png\\\" % (self.channel, charge_selection, hadTau_selection_numerator, absEtaBin)),\\n 'histogramDir' : \\\"jetToTauFakeRate_%s/numerator/%s/%s\\\" % (charge_selection, hadTau_selection_numerator, absEtaBin),\\n 'label' : None,\\n 'make_plots_backgrounds' : [ \\\"TT\\\", \\\"TTW\\\", \\\"TTZ\\\", \\\"EWK\\\", \\\"Rares\\\" ],\\n }\\n self.createCfg_makePlots(self.jobOptions_make_plots[key_makePlots_job])\\n\\n if self.is_sbatch:\\n logging.info(\\\"Creating script for submitting '%s' jobs to batch system\\\" % self.executable_analyze)\\n self.sbatchFile_analyze = os.path.join(self.dirs[DKEY_SCRIPTS], \\\"sbatch_analyze_%s.py\\\" % self.channel)\\n self.createScript_sbatch_analyze(self.executable_analyze, self.sbatchFile_analyze, self.jobOptions_analyze)\\n logging.info(\\\"Creating script for submitting '%s' jobs to batch system\\\" % self.executable_comp_jetToTauFakeRate)\\n self.sbatchFile_comp_jetToTauFakeRate = os.path.join(self.dirs[DKEY_SCRIPTS], \\\"sbatch_comp_jetToTauFakeRate.py\\\")\\n self.createScript_sbatch(self.executable_comp_jetToTauFakeRate, self.sbatchFile_comp_jetToTauFakeRate, self.jobOptions_comp_jetToTauFakeRate)\\n\\n lines_makefile = []\\n self.addToMakefile_analyze(lines_makefile)\\n self.addToMakefile_hadd_stage1(lines_makefile)\\n self.addToMakefile_hadd_stage2(lines_makefile)\\n self.addToMakefile_comp_jetToTauFakeRate(lines_makefile)\\n self.addToMakefile_make_plots(lines_makefile)\\n self.createMakefile(lines_makefile)\\n \\n logging.info(\\\"Done\\\")\",\n \"def __init__(self):\\n self.data_set = []\\n self.finalized_data = LogData()\",\n \"def _setData(self):\\n\\n if not self.stationId:\\n return\\n \\\"\\\"\\\" \\n # get the ressource url and adjust lat and lon from data portal\\n query = sparqls.stationResource(self.stationId)\\n key, val = RunSparql(query, 'array').run()\\n if val: \\n self.url = val[0][0]\\n self.lat = float(val[0][2])\\n self.lon = float(val[0][3])\\n \\\"\\\"\\\"\\n\\n # it is possible, that a station id has multiple URI\\n # ask for all URI\\n query = sparqls.stationData(self.uri, 'all')\\n data = RunSparql(query, 'pandas').run()\\n\\n if not data.empty:\\n self._data = data\\n else:\\n self._data = 'no data available'\\n\\n # check if data is available and extract the 'unique' data products\\n if isinstance(self._data, pd.DataFrame):\\n p = self._data['specLabel'].unique()\\n self._products = pd.DataFrame(p)\\n\\n # replace samplingheight=None with empty string\\n self._data.samplingheight.replace(to_replace=[None], value=\\\"\\\", inplace=True)\\n else:\\n self._products = 'no data available'\",\n \"def create_dicts():\\n load_data_for_dict('data/atis/train/seq.in', 'data/atis/voc/vocabulary.json')\\n load_data_for_dict('data/atis/valid/seq.in', 'data/atis/voc/vocabulary.json')\\n load_data_for_dict('data/atis/test/seq.in', 'data/atis/voc/vocabulary.json') \\n load_data_for_dict('data/atis/train/seq.out', 'data/atis/voc/slot_vocabulary.json')\",\n \"def input_data_initialised(n_ops, power_system):\\r\\n time_zeros = np.zeros((n_ops, 1))\\r\\n power_zeros = np.zeros((n_ops, power_system['n_buses']))\\r\\n states_initial = np.zeros((n_ops, power_system['n_states']))\\r\\n\\r\\n states_results_zeros = np.zeros((n_ops, power_system['n_states']))\\r\\n states_t_results_zeros = np.zeros((n_ops, power_system['n_states']))\\r\\n data_type_zeros = np.zeros((n_ops, power_system['n_states']))\\r\\n\\r\\n data_initialised = {'time': time_zeros,\\r\\n 'power': power_zeros,\\r\\n 'states_initial': states_initial,\\r\\n 'states_results': states_results_zeros,\\r\\n 'states_t_results': states_t_results_zeros,\\r\\n 'data_type': data_type_zeros}\\r\\n\\r\\n return data_initialised\",\n \"def __init__(self, sets: List[ColdStartUserSet]):\\n self.sets = sets\",\n \"def get_data(self, ninits=20, nrepeats=10, initial_nodes=None):\\n\\n print(\\\"Generating training set...\\\")\\n\\n self.data['dpc_times'] = np.linspace(0, self.sim_params['end_time'], 51)\\n self.data['dpc_sus'] = np.empty((3, 2, len(self.data['dpc_times']), 0))\\n self.data['dpc_inf'] = np.empty((3, 2, len(self.data['dpc_times']), 0))\\n self.data['init_state'] = np.empty((0, 18))\\n\\n input_events = []\\n\\n for _ in range(ninits):\\n if initial_nodes is None:\\n nlow = np.random.randint(0, 3)\\n nhigh = 2 - nlow\\n nodes_init = randomise_infection(self.nodes, nhigh=nhigh, nlow=nlow)\\n else:\\n nodes_init = copy.deepcopy(initial_nodes)\\n simulator = simulation.Simulator(\\n nodes_init, self.risk_coupling, self.dist_coupling, self.sim_params)\\n all_runs = simulator.run_simulation(nruns=nrepeats, verbose=False)\\n if nrepeats == 1:\\n all_runs = [all_runs]\\n self._store_dpc_data(all_runs)\\n\\n input_events += self._extract_event_data(all_runs)\\n\\n self.data['input_events'] = input_events\",\n \"def collect_data():\\n\\n \\\"Aqui va el codigo de alberto para recoger los datos que puede venir en forma de diccionario\\\"\\n #TODO: Función para recoger los datos de los bms y meterlos en diccionarios (Alberto jr.)\\n\\n bms1 = dict()\\n bms2 = dict()\\n bms3 = dict()\\n general = dict()\\n\\n\\n # Ejemplos de datos para meter en los diccionarios\\n\\n temperature = 35.5\\n voltage1 = 15.2\\n voltage2 = 14.8\\n date = time.strftime(\\\"%Y-%m-%d\\\") # Current date\\n t = time.strftime(\\\"%H:%M:%S\\\") # Current time\\n\\n return bms1, bms2, bms3, general\",\n \"def __init__(self, *objects):\\n self.resources = []\\n self.contexts = Contexts()\\n self.summary = Summary()\\n self.results = Results()\\n self.perfdata = []\\n self.name = ''\\n self.add(*objects)\",\n \"def __createSPWSeparationCommands(self):\\n\\n # Get a unique list of selected spws \\n self.__selectMS()\\n spwList = self.__getSPWUniqueList()\\n numSubMS = self._arg['numsubms']\\n if isinstance(numSubMS,str) and numSubMS == 'auto':\\n # Create the best load balance based on the number of nodes\\n numSubMS = self.getNumberOfServers()\\n if numSubMS == None:\\n numSubMS = 8\\n numSubMS = min(len(spwList),numSubMS)\\n\\n # Get a dictionary of the spws parted for each subMS\\n spwList = map(str,spwList)\\n partitionedSPWs1 = self.__partition1(spwList,numSubMS)\\n\\n # Add the channel selections back to the spw expressions\\n newspwsel = self.__createSPWExpression(partitionedSPWs1)\\n \\n # Validate the chanbin parameter\\n validbin = False\\n parname = self.getChanAvgParamName()\\n if self.validateChanBin():\\n if isinstance(self._arg[parname],list):\\n freqbinlist = self.__partition1(self._arg[parname],numSubMS)\\n validbin = True\\n \\n # Calculate the ddistart for each engine. This will be used\\n # to calculate the DD IDs of the output main table of the subMSs\\n ddistartlist = self.__calculateDDIstart({}, partitionedSPWs1)\\n if (len(ddistartlist) != len(partitionedSPWs1)):\\n casalog.post('Error calculating the ddistart indices','SEVERE')\\n raise\\n \\n for output in xrange(numSubMS):\\n mmsCmd = copy.copy(self._arg)\\n mmsCmd['createmms'] = False\\n if self.__selectionScanList is not None:\\n mmsCmd['scan'] = ParallelTaskHelper.\\\\\\n listToCasaString(self.__selectionScanList) \\n mmsCmd['spw'] = newspwsel[output]\\n if validbin:\\n mmsCmd[parname] = freqbinlist[output]\\n \\n self.__ddistart = ddistartlist[output]\\n mmsCmd['ddistart'] = self.__ddistart\\n mmsCmd['outputvis'] = self.dataDir+'/%s.%04d.ms' \\\\\\n % (self.outputBase, output)\\n\\n # Dictionary for the spw/ddi consolidation later\\n self.__ddidict[self.__ddistart] = self.dataDir+'/%s.%04d.ms' \\\\\\n % (self.outputBase, output)\\n\\n if not self._mpi_cluster:\\n self._executionList.append(JobData(self._taskName, mmsCmd))\\n else:\\n self._executionList.append([self._taskName + '()',mmsCmd])\",\n \"def init (self, disksSet):\\n self._disksSet = disksSet\\n self._metaFilesPattern = '*.' + self._cfg.metaFilesExtension\\n self._metaPredictionFilesPattern = self._metaFilesPattern + '.' + self._cfg.metaPredictionFilesExtension\\n self._badFilesPattern = self._metaFilesPattern + '.' + self._cfg.badFilesExtension\\n self._dbFileFullNamePath = os.path.join(self._cfg.dbFilesDir, DB_FILE_NAME + '_' + self._instanceName + \\\".\\\" + DB_FILES_EXTENSTION)\\n self._dbFailedToRemoveFileFullNamePath = os.path.join(self._cfg.dbFilesDir, DB_FAILED_FILE_NAME + '_' + self._instanceName + \\\".\\\" + DB_FILES_EXTENSTION)\\n self._countersFileFullNamePath = os.path.join(self._cfg.dbFilesDir, COUNTERS_FILE_NAME + '_' + self._instanceName + \\\".\\\" + DB_FILES_EXTENSTION)\\n self._isPrediction = self._cfg.isPrediction\\n\\n\\n # Sanity check\\n errorSites = []\\n raiseException = False\\n for value in self.cgidToNameMap.values():\\n if ((NUM_TOTAL_USED_BYTES + value) not in self.bytesUsedCounters) \\\\\\n or ((NUM_TOTAL_USED_BYTES + PREDICTION_TOKEN + value) not in self.bytesUsedCounters) \\\\\\n or ((NUM_TITLES + value) not in self.numTitlesCounters) \\\\\\n or ((NUM_TITLES + PREDICTION_TOKEN +value) not in self.numTitlesCounters):\\n raiseException = True\\n errorSites.append(value)\\n\\n if raiseException:\\n raise Exception(\\\"initError\\\",\\\"error init counters for sites %s\\\", errorSites)\",\n \"def prepare_data(self):\\n import subprocess\\n # Download coco data set into dir specified by config then /data/coco\\n subprocess.call([f\\\"{get_original_cwd()}/bin/fetch_dataset.sh\\\", f\\\"{self.dir}/data/coco\\\", f\\\"{get_original_cwd()}\\\"])\\n # subprocess.call([f\\\"bin/fetch_dataset.sh\\\", f\\\"{self.dir}/data/coco\\\"])\\n task = \\\"instances\\\" if self.instance else \\\"person_keypoints\\\"\\n register_coco_instances(\\\"train\\\", {}, f\\\"{self.dir}/data/coco/{task}_train2014.json\\\",\\n f\\\"{self.dir}/data/coco/train2014\\\")\\n register_coco_instances(\\\"val\\\", {}, f\\\"{self.dir}/data/coco/{task}_minival2014.json\\\",\\n f\\\"{self.dir}/data/coco/val2014\\\")\\n register_coco_instances(\\\"test\\\", {}, f\\\"{self.dir}/data/coco/{task}_valminusminival2014.json\\\",\\n f\\\"{self.dir}/data/coco/val2014\\\")\",\n \"def _create_init(self):\\n\\n assert self._topology is not None, \\\\\\n \\\"Topology must be given for a creation constructor\\\"\\n\\n # initialize the runs group\\n runs_grp = self._h5.create_group(RUNS)\\n\\n # initialize the settings group\\n settings_grp = self._h5.create_group(SETTINGS)\\n\\n # create the topology dataset\\n self._h5.create_dataset(TOPOLOGY, data=self._topology)\\n\\n # sparse fields\\n if self._sparse_fields is not None:\\n\\n # make a dataset for the sparse fields allowed. this requires\\n # a 'special' datatype for variable length strings. This is\\n # supported by HDF5 but not numpy.\\n vlen_str_dt = h5py.special_dtype(vlen=str)\\n\\n # create the dataset with empty values for the length of the\\n # sparse fields given\\n sparse_fields_ds = settings_grp.create_dataset(SPARSE_FIELDS,\\n (len(self._sparse_fields),),\\n dtype=vlen_str_dt,\\n maxshape=(None,))\\n\\n # set the flags\\n for i, sparse_field in enumerate(self._sparse_fields):\\n sparse_fields_ds[i] = sparse_field\\n\\n\\n # field feature shapes and dtypes\\n\\n # initialize to the defaults, this gives values to\\n # self._n_coords, and self.field_feature_dtypes, and\\n # self.field_feature_shapes\\n self._set_default_init_field_attributes(n_dims=self._n_dims)\\n\\n # save the number of dimensions and number of atoms in settings\\n settings_grp.create_dataset(N_DIMS_STR, data=np.array(self._n_dims))\\n settings_grp.create_dataset(N_ATOMS, data=np.array(self._n_coords))\\n\\n # the main rep atom idxs\\n settings_grp.create_dataset(MAIN_REP_IDXS, data=self._main_rep_idxs, dtype=int)\\n\\n # alt_reps settings\\n alt_reps_idxs_grp = settings_grp.create_group(ALT_REPS_IDXS)\\n for alt_rep_name, idxs in self._alt_reps.items():\\n alt_reps_idxs_grp.create_dataset(alt_rep_name, data=idxs, dtype=int)\\n\\n # if both feature shapes and dtypes were specified overwrite\\n # (or initialize if not set by defaults) the defaults\\n if (self._field_feature_shapes_kwarg is not None) and\\\\\\n (self._field_feature_dtypes_kwarg is not None):\\n\\n self._field_feature_shapes.update(self._field_feature_shapes_kwarg)\\n self._field_feature_dtypes.update(self._field_feature_dtypes_kwarg)\\n\\n # any sparse field with unspecified shape and dtype must be\\n # set to None so that it will be set at runtime\\n for sparse_field in self.sparse_fields:\\n if (not sparse_field in self._field_feature_shapes) or \\\\\\n (not sparse_field in self._field_feature_dtypes):\\n self._field_feature_shapes[sparse_field] = None\\n self._field_feature_dtypes[sparse_field] = None\\n\\n\\n # save the field feature shapes and dtypes in the settings group\\n shapes_grp = settings_grp.create_group(FIELD_FEATURE_SHAPES_STR)\\n for field_path, field_shape in self._field_feature_shapes.items():\\n if field_shape is None:\\n # set it as a dimensionless array of NaN\\n field_shape = np.array(np.nan)\\n\\n shapes_grp.create_dataset(field_path, data=field_shape)\\n\\n dtypes_grp = settings_grp.create_group(FIELD_FEATURE_DTYPES_STR)\\n for field_path, field_dtype in self._field_feature_dtypes.items():\\n if field_dtype is None:\\n dt_str = NONE_STR\\n else:\\n # make a json string of the datatype that can be read\\n # in again, we call np.dtype again because there is no\\n # np.float.descr attribute\\n dt_str = json.dumps(np.dtype(field_dtype).descr)\\n\\n dtypes_grp.create_dataset(field_path, data=dt_str)\\n\\n # initialize the units group\\n unit_grp = self._h5.create_group(UNITS)\\n\\n # if units were not given set them all to None\\n if self._units is None:\\n self._units = {}\\n for field_path in self._field_feature_shapes.keys():\\n self._units[field_path] = None\\n\\n # set the units\\n for field_path, unit_value in self._units.items():\\n\\n # ignore the field if not given\\n if unit_value is None:\\n continue\\n\\n unit_path = '{}/{}'.format(UNITS, field_path)\\n\\n unit_grp.create_dataset(unit_path, data=unit_value)\\n\\n\\n # create the group for the run data records\\n records_grp = settings_grp.create_group(RECORD_FIELDS)\\n\\n # create a dataset for the continuation run tuples\\n # (continuation_run, base_run), where the first element\\n # of the new run that is continuing the run in the second\\n # position\\n self._init_continuations()\",\n \"def installStorage():\\n for name,data in Online.SetupParams.detectors.items():\\n s = data['System']\\n c = Online.PVSSSystems.controlsMgr(s)\\n inst = Installer(c)\\n nf = data['SubFarms']\\n streams = data['StorageStreams']\\n inst.createStorage(name,streams,nf)\\n return c\",\n \"def get_data(self):\\n\\n self.read_expression()\\n self.read_tfs()\\n self.read_metadata()\\n self.set_gold_standard_and_priors()\",\n \"def __init__(self, out_dir = 'output' ):\\n\\n self.data = {} # will contain the data for each different dataset \\n self.datasets = '' # will contain the input datasets (original dictionary)\\n self.datasets_keys = '' # will contain the input datasets names only (i.e. keys of the datasets dictionary)\\n #self.datasets_all = ['era5_2_2'] # all possibly available datasets \\n\\n self.unique_dates = {} \\n self.attributes = {} # will keep the original attributes from the CDM tables, read from the netCDF files \\n self.id_string_length = 14 # fixed length for record_id and observation_id values \\n self.out_dir = out_dir \\n self.variable_types = {}\\n self.observation_ids_merged = { 'igra2':b'3' , \\n 'ncar':b'4', \\n 'bufr':b'5', \\n 'era5_1':b'1' , \\n 'era5_2':b'2', \\n 'era5_1759' :b'6' , \\n 'era5_1761':b'7' , \\n 'era5_3188' :b'8' } # values used to convert original record_id to the merged record_id, see method merge_all_data \\n\\n logging.info('*** Initialising the Merging procedure ***' ) \\n #self.era5b_columns = [] # stores the columns of the era5fb \\n self.standard_cdm = [ 'crs' , 'observed_variable', 'units' , 'z_coordinate_type' , 'station_type', 'station_configuration_codes'] \\n self.slice_size = 3000\\n self.index_offset = 0 # will be replaced when running \\n self.hour_time_delta = 60 * 60 * 2 # decide up to which time shift records are considered identical \\n \\n \\n self.only_std_plevels = False # set to True to store only standard pressure level data \\n self.std_plevs = [1000, 2000, 3000, 5000, 7000, 10000, 15000, 20000, 25000, 30000, 40000, 50000, 70000, 85000, 92500, 100000]\",\n \"def __init__(self, out_dir = 'output' ):\\n \\n self.data = {} # will contain the data for each different dataset \\n self.datasets = '' # will contain the input datasets (original dictionary)\\n self.datasets_keys = '' # will contain the input datasets names only (i.e. keys of the datasets dictionary)\\n self.datasets_all = ['igra2' , 'era5_1' , 'ncar_w' , 'ncar_t', 'bufr' , 'era5_1759' , 'era5_1761' , 'era5_3188'] # all possibly available datasets \\n #self.observation_ids_merged = { 'igra2':1 , 'ncar_t':2 , 'ncar_w':2, 'bufr':3, 'era5_1':4 , 'era5_1759' :5 , 'era5_1761':6 , 'era5_3188' :7} # values used to convert original record_id to the merged record_id, see method merge_all_data \\n \\n self.observation_ids_merged = { 'igra2':1 , 'ncar':2, 'bufr':3, 'era5_1':4 , 'era5_1759' :5 , 'era5_1761':6 , 'era5_3188' :7} # values used to convert original record_id to the merged record_id, see method merge_all_data \\n \\n self.unique_dates = {} \\n self.attributes = {} # will keep the original attributes from the CDM tables, read from the netCDF files \\n self.out_dir = out_dir\",\n \"def data_setup_sensors():\\n sensor_list = []\\n sensor_list.append(helper_setup_sensors(factory_type_constant=SENSOR_TYPE_NAME_BASIC, sensor_name=\\\"Sensor1\\\",\\n interval_between_readings=0.5, gpio_pin_id=None))\\n sensor_list.append(helper_setup_sensors(factory_type_constant=SENSOR_TYPE_NAME_BASIC, sensor_name=\\\"Sensor2\\\",\\n interval_between_readings=0.25, gpio_pin_id=None))\\n sensor_list.append(helper_setup_sensors(factory_type_constant=SENSOR_TYPE_NAME_BASIC, sensor_name=\\\"Sensor3\\\",\\n interval_between_readings=0.5, gpio_pin_id=None))\\n sensor_list.append(helper_setup_sensors(factory_type_constant=SENSOR_TYPE_NAME_DHT22_CELSIUS, sensor_name=\\\"GPIO Temperature1\\\",\\n interval_between_readings=2.0, gpio_pin_id=7))\\n return sensor_list\",\n \"def setup(self):\\n in_dataset, out_dataset = self.get_datasets()\",\n \"def setup(self):\\n in_dataset, out_dataset = self.get_datasets()\",\n \"def create_system_metrics(system):\\n pass\",\n \"def organise_baseline_data(self):\\n self.baseline_data = {}\\n for injkey in self.data_sets.keys():\\n data = {}\\n baseline_result = self.data_sets[injkey].pop('full_syst_baseline')\\n datakey = baseline_result.keys()[0]\\n baseline_data = self.systtest_fit_extract(\\n fit_data=baseline_result[datakey],\\n datakey=datakey,\\n labels=self.labels[injkey]['full_syst_baseline'].dict\\n )\\n self.baseline_data[injkey] = baseline_data\",\n \"def create_data_model():\\r\\n data = {}\\r\\n data['distance_matrix'] = distance_matrix.tolist()\\r\\n data['time_matrix'] = time_matrix.tolist()\\r\\n data['time_windows'] = time_windows.tolist()\\r\\n data['pickups_deliveries'] = pickup_deliveries.tolist()\\r\\n data['demands'] = demand\\r\\n data['num_vehicles'] = 20\\r\\n data['vehicle_capacities'] = [20 * i / i for i in range(1, num_vehicles+1)]\\r\\n data['depot'] = (2 * length) - 1\\r\\n return data\",\n \"def prep_matlab(self):\\n #allparams = self.__dict__ #NOTE: change to include just needed parameters\\n #allparams.update(self.Set.__dict__)\\n #print allparams\\n # Quick Fix\\n if not os.path.isdir(self.ProcDir): os.mkdir(self.ProcDir)\\n if not os.path.isdir(self.OutDir): os.mkdir(self.OutDir)\\n settings = {'DataDir':self.DataDir,\\n 'ProcDir':self.ProcDir,\\n 'ScriptDir':self.ScriptDir,\\n 'OutDir':self.OutDir,\\n 'AuxDir':self.AuxDir,\\n 'Cothresh':self.Cothresh,\\n 'Igthresh':self.Igthresh,\\n 'Damping':self.Damping,\\n 'Width':self.Set.Width,\\n 'Length':self.Set.Length,\\n 'Dates':'\\\\n'.join(self.Set.Dates.astype('S8')),\\n 'DatesSerial':'\\\\n'.join(self.Set.DatesSerial.astype('S8')),\\n 'TimeIntervals':'\\\\n'.join(self.Set.TimeIntervals.astype('S4')),\\n 'TimeIndex':self.Set.TimeIndexString,\\n 'Pairs':'\\\\n'.join(self.Set.PairsString),\\n 'PairsSerial':'\\\\n'.join(self.Set.PairsSerialString),\\n #'Names':'\\\\n'.join(self.Set.Names),\\n #'Paths':'\\\\n'.join(self.Set.Names),\\n 'ChronList':'\\\\n'.join(self.Set.ChronList),\\n 'Omissions':'\\\\n'.join(self.Set.Omissions),\\n 'Tandems':'\\\\n'.join(self.Set.Tandems)}\\n\\n fullpath = os.path.join(self.RunDir,'defaults.m')\\n prerun = open(fullpath, 'w')\\n prerun.write(\\n\\\"\\\"\\\"\\n%% Automatically created parameters file for RunTS.m\\n%% created with roi_py.py\\n%% =============================================================================\\n%% Raw Data Directory\\ndataDir = '{DataDir}';\\n%% Masked/Tweaked Data Directory\\nprocDir = '{ProcDir}';\\n%% Output directory\\noutDir = '{OutDir}';\\n%% Scripts directory\\nscriptDir = '{ScriptDir}';\\n%% Auxilary files directory\\nauxDir = '{AuxDir}';\\n\\n%% Coherence threshold (pixels with coherence less than 'maskthresh' will be\\n%% marked as NaNs for scrapping or interpolation if desired.\\nmaskThresh = {Cothresh};\\n\\n%% IGdensity threshold (pixels with # of non-interpolated data points less\\n%% than IGthresh will be set to NaN in deformation_mod.m\\nigThresh = {Igthresh};\\n\\n%% WDLS damping term in inversion_mod.m\\ndamping = {Damping};\\n\\n%% Master scene dimensions\\nwidth = {Width};\\nleng = {Length};\\n\\n%% List of SAR acquisition dates for interferogram set\\ndates = [{Dates}];\\n\\n%% SAR acquisition dates in python 'datetime' serial format\\ndatesSerial = [{DatesSerial}];\\n\\n%% Number of days between consecutive SAR acquisitions\\ndt = [{TimeIntervals}];\\n\\n%% Time Index\\ntimeIndex = [{TimeIndex}];\\n\\n%% Interferogram master & slave dates\\nigrams = [{Pairs}];\\n\\n%% Interferogram master & slave dates in serial format\\nigramsSerial = [{PairsSerial}];\\n\\n%% Chronological list of interferogram file names used in matlab routines\\nigramsList = [{ChronList}];\\n\\n%% User-specified ommissions\\nomitList = [{Omissions}];\\n\\n%% Tandem pairs = [{Tandems}];\\n\\\"\\\"\\\".format(**settings))\\n prerun.close()\\n print('Wrote %s, ready for RunTS.m' % fullpath)\\n\\n #pickle the omissions list for easy re-use later\\n #NOTE: ultimately write this all in python and use input/output ascii files\\n if hasattr(self,'Omissions'):\\n pickle.dump(list(self.Omissions.keys()), os.path.join(self.RunDir,'omissions.p'))\\n #to reload set10.omit(IG=pickle.load('omissions.p'))\",\n \"def create_data_model():\\r\\n data = {}\\r\\n data['period'] = int(sheet1.cell_value(1, getColumnIndex(sheet1,'调度周期')))\\r\\n counttype_technician=3\\r\\n data['technician']=[]\\r\\n for i in range(1,1+counttype_technician):\\r\\n data['technician'].append(int(sheet1.cell_value(i, getColumnIndex(sheet1,'技工日工资'))))\\r\\n data['base'] = {}\\r\\n count_base=1 # 码头个数\\r\\n data['base']['coordinate']=[]\\r\\n for i in range(1,1+count_base):\\r\\n base_x=sheet1.cell_value(i, getColumnIndex(sheet1,'码头坐标X'))\\r\\n base_y=sheet1.cell_value(i, getColumnIndex(sheet1,'码头坐标Y'))\\r\\n data['base']['coordinate'].append((base_x,base_y))\\r\\n\\r\\n data['base']['technician']=[]\\r\\n for b in range(0,count_base):\\r\\n data['base']['technician'].append([])\\r\\n for j in range(counttype_technician):\\r\\n data['base']['technician'][b].append([])\\r\\n for i in range(data['period']):\\r\\n data['base']['technician'][b][j].append(int(sheet1.cell_value(i+1, getColumnIndex(sheet1,'%d类技工总人数'% (j+1)))))\\r\\n\\r\\n data['wind_farm'] = {}\\r\\n count_wind_farm=2 #需要维修的风电场个数\\r\\n count_wind_turbine=[8,8] #每个风电场需要维修的风机个数\\r\\n count_wind_turbine_sum=[36,36]# 每个风电场所有的风机个数\\r\\n data['wind_farm']['maintenance_time']=[]\\r\\n count_wturbine=[] #用于计数,记录不同风电场风机信息在Excel位置\\r\\n count_wturbine_l=0\\r\\n for i in range(count_wind_farm):\\r\\n count_wturbine.append(count_wturbine_l)\\r\\n count_wturbine_l=count_wturbine_l+count_wind_turbine[i]\\r\\n count_turbine=[]\\r\\n count_turbine_l=0\\r\\n for i in range(count_wind_farm):\\r\\n count_turbine.append(count_turbine_l)\\r\\n count_turbine_l=count_turbine_l+count_wind_turbine_sum[i]\\r\\n\\r\\n ###设定与风电场相关的参数\\r\\n for i in range(count_wind_farm):\\r\\n data['wind_farm']['maintenance_time'].append([])\\r\\n for j in range(count_wind_turbine[i]):\\r\\n data['wind_farm']['maintenance_time'][i].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'风机维护时间'))))\\r\\n\\r\\n data['wind_farm']['technician']=[]\\r\\n for i in range(count_wind_farm):\\r\\n data['wind_farm']['technician'].append([])\\r\\n for j in range(count_wind_turbine[i]):\\r\\n data['wind_farm']['technician'][i].append([])\\r\\n for k in range(counttype_technician):\\r\\n data['wind_farm']['technician'][i][j].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'%d类技工需求量'% (k+1)))))\\r\\n\\r\\n\\r\\n data['wind_farm']['parts_weight']=[]\\r\\n for i in range(count_wind_farm):\\r\\n data['wind_farm']['parts_weight'].append([])\\r\\n for j in range(count_wind_turbine[i]):\\r\\n data['wind_farm']['parts_weight'][i].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'风机所需备件重量'))))\\r\\n\\r\\n data['wind_farm']['present']=[]\\r\\n for i in range(count_wind_farm):\\r\\n data['wind_farm']['present'].append([])\\r\\n for j in range(count_wind_turbine[i]):\\r\\n data['wind_farm']['present'][i].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'风机在维修时是否需要船停泊'))))\\r\\n\\r\\n data['wind_farm']['deadline']=[]\\r\\n for i in range(count_wind_farm):\\r\\n data['wind_farm']['deadline'].append([])\\r\\n for j in range(count_wind_turbine[i]):\\r\\n data['wind_farm']['deadline'][i].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'最晚建议维修时间'))))\\r\\n\\r\\n data['wind_farm']['penalty_cost']=[]\\r\\n for i in range(count_wind_farm):\\r\\n data['wind_farm']['penalty_cost'].append([])\\r\\n for j in range(count_wind_turbine[i]):\\r\\n data['wind_farm']['penalty_cost'][i].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'逾时惩罚成本'))))\\r\\n\\r\\n data['vessel'] = {}\\r\\n counttype_vessel=3\\r\\n data['vessel']['capacity']=[]\\r\\n for i in range(counttype_vessel):\\r\\n data['vessel']['capacity'].append(int(sheet1.cell_value(i+1, getColumnIndex(sheet1,'船的备件容量'))))\\r\\n\\r\\n data['vessel']['technician']=[]\\r\\n for i in range(counttype_vessel):\\r\\n data['vessel']['technician'].append(int(sheet1.cell_value(i+1, getColumnIndex(sheet1,'船的人员可载量'))))\\r\\n\\r\\n data['vessel']['cost']=[]\\r\\n for i in range(counttype_vessel):\\r\\n data['vessel']['cost'].append(int(sheet1.cell_value(i+1, getColumnIndex(sheet1,'船的油费'))))\\r\\n\\r\\n data['vessel']['speed']=[]\\r\\n for i in range(counttype_vessel):\\r\\n data['vessel']['speed'].append(int(sheet1.cell_value(i+1, getColumnIndex(sheet1,'船的航速'))))\\r\\n\\r\\n data['vessel']['trans_time']=[] # 这里默认转移时间跟船的类型没有关系，与时期有关\\r\\n for i in range(data['period']):\\r\\n data['vessel']['trans_time'].append(sheet1.cell_value(i+1, getColumnIndex(sheet1,'技工转移时间')))\\r\\n\\r\\n data['vessel']['time_window']=[]\\r\\n for i in range(counttype_vessel):\\r\\n data['vessel']['time_window'].append([])\\r\\n for j in range(data['period']):\\r\\n data['vessel']['time_window'][i].append([])\\r\\n for k in range(count_wind_farm):\\r\\n data['vessel']['time_window'][i][j].append(int(sheet1.cell_value(j+1, getColumnIndex(sheet1,'风电场%d船%d可作业时间'%(k+1,i+1)))))\\r\\n\\r\\n # # 风机坐标\\r\\n # data['wind_farm']['coordinate']=[]\\r\\n # for i in range(count_wind_farm):\\r\\n # data['wind_farm']['coordinate'].append([])\\r\\n # for j in range(72):\\r\\n # turbine_x = sheet1.cell_value(j+1, getColumnIndex(sheet1, '风机坐标X'))\\r\\n # turbine_y = sheet1.cell_value(j+1, getColumnIndex(sheet1, '风机坐标Y'))\\r\\n # data['wind_farm']['coordinate'][i].append((turbine_x, turbine_y))\\r\\n\\r\\n # 风机坐标\\r\\n data['wind_farm']['coordinate']=[]\\r\\n for i in range(count_wind_farm):\\r\\n data['wind_farm']['coordinate'].append([])\\r\\n for j in range(count_wind_turbine_sum[i]):\\r\\n turbine_x = sheet1.cell_value(j+1+count_turbine[i], getColumnIndex(sheet1, '风机坐标X'))\\r\\n turbine_y = sheet1.cell_value(j+1+count_turbine[i], getColumnIndex(sheet1, '风机坐标Y'))\\r\\n data['wind_farm']['coordinate'][i].append((turbine_x, turbine_y))\\r\\n\\r\\n\\r\\n data['wind_farm']['task']=[]\\r\\n for i in range(count_wind_farm):\\r\\n data['wind_farm']['task'].append([])\\r\\n for j in range(count_wind_turbine[i]):\\r\\n data['wind_farm']['task'][i].append(int(sheet1.cell_value(j+1+count_wturbine[i], getColumnIndex(sheet1,'需要维修风机编号'))))\\r\\n\\r\\n return data\",\n \"def generate_data_collection(self):\\n self.data_1 = Exporter(name=\\\"name_1\\\",\\n url=constants.XSL_URL,\\n enable_by_default=False,\\n templates=[]).save()\\n self.data_collection = [self.data_1]\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6231608","0.6201638","0.6089105","0.5982996","0.5916175","0.58389336","0.5805325","0.5794087","0.5770292","0.57400566","0.5706636","0.5654017","0.5647484","0.5647071","0.5630673","0.5623479","0.5600253","0.55999434","0.5591246","0.5584346","0.5576154","0.5573919","0.5569036","0.5562484","0.5555324","0.5550094","0.5544435","0.5518788","0.5513861","0.55106926","0.54996014","0.5488988","0.5460573","0.5436589","0.5432667","0.54139453","0.5409859","0.5409773","0.5403744","0.54025775","0.54022413","0.5399886","0.5398803","0.5390972","0.53904986","0.538878","0.5383326","0.5375396","0.5365072","0.5364359","0.5363254","0.53604853","0.5351125","0.5349235","0.53485334","0.53430146","0.5339691","0.5339223","0.5335503","0.5333035","0.5332279","0.53115106","0.5309993","0.53094834","0.53056145","0.53050685","0.5301794","0.5300454","0.5297625","0.5296223","0.5294942","0.5294681","0.52751076","0.52750945","0.52749914","0.52723604","0.5265837","0.5264737","0.5263031","0.5262581","0.52573496","0.5251684","0.52350515","0.5232883","0.52316546","0.5229221","0.52130544","0.5207488","0.52054733","0.5204395","0.5203829","0.52028185","0.5196982","0.5194422","0.5194422","0.51942384","0.51917833","0.5189542","0.51890415","0.5188185","0.51876926"],"string":"[\n \"0.6231608\",\n \"0.6201638\",\n \"0.6089105\",\n \"0.5982996\",\n \"0.5916175\",\n \"0.58389336\",\n \"0.5805325\",\n \"0.5794087\",\n \"0.5770292\",\n \"0.57400566\",\n \"0.5706636\",\n \"0.5654017\",\n \"0.5647484\",\n \"0.5647071\",\n \"0.5630673\",\n \"0.5623479\",\n \"0.5600253\",\n \"0.55999434\",\n \"0.5591246\",\n \"0.5584346\",\n \"0.5576154\",\n \"0.5573919\",\n \"0.5569036\",\n \"0.5562484\",\n \"0.5555324\",\n \"0.5550094\",\n \"0.5544435\",\n \"0.5518788\",\n \"0.5513861\",\n \"0.55106926\",\n \"0.54996014\",\n \"0.5488988\",\n \"0.5460573\",\n \"0.5436589\",\n \"0.5432667\",\n \"0.54139453\",\n \"0.5409859\",\n \"0.5409773\",\n \"0.5403744\",\n \"0.54025775\",\n \"0.54022413\",\n \"0.5399886\",\n \"0.5398803\",\n \"0.5390972\",\n \"0.53904986\",\n \"0.538878\",\n \"0.5383326\",\n \"0.5375396\",\n \"0.5365072\",\n \"0.5364359\",\n \"0.5363254\",\n \"0.53604853\",\n \"0.5351125\",\n \"0.5349235\",\n \"0.53485334\",\n \"0.53430146\",\n \"0.5339691\",\n \"0.5339223\",\n \"0.5335503\",\n \"0.5333035\",\n \"0.5332279\",\n \"0.53115106\",\n \"0.5309993\",\n \"0.53094834\",\n \"0.53056145\",\n \"0.53050685\",\n \"0.5301794\",\n \"0.5300454\",\n \"0.5297625\",\n \"0.5296223\",\n \"0.5294942\",\n \"0.5294681\",\n \"0.52751076\",\n \"0.52750945\",\n \"0.52749914\",\n \"0.52723604\",\n \"0.5265837\",\n \"0.5264737\",\n \"0.5263031\",\n \"0.5262581\",\n \"0.52573496\",\n \"0.5251684\",\n \"0.52350515\",\n \"0.5232883\",\n \"0.52316546\",\n \"0.5229221\",\n \"0.52130544\",\n \"0.5207488\",\n \"0.52054733\",\n \"0.5204395\",\n \"0.5203829\",\n \"0.52028185\",\n \"0.5196982\",\n \"0.5194422\",\n \"0.5194422\",\n \"0.51942384\",\n \"0.51917833\",\n \"0.5189542\",\n \"0.51890415\",\n \"0.5188185\",\n \"0.51876926\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":88293,"cells":{"query":{"kind":"string","value":"Subtract current model from residuals In matrix notation Tamuz et al. write (Eq. 6) R' = R c a^T. The operation here implemented corresponds to (R' = R c^T)^T > R'^T = R^T a c^T (where ^T is the transpose, R is a matrix and a and c are vectors). Returns"},"document":{"kind":"string","value":"def sysrem_update_rij(rij, a, c):\n return rij - np.outer(a,c)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def residual_of(self, z):\n return np.subtract(z, self.HJacob(self.x)@self.x_prior)","def residual_of(self, z):\n raise \"Not implemented yet\"\n return z - dot(self._H, self._x)","def back_substitution(self):\r\n for col in range(self.SIZE - 1, -1, -1):\r\n self.check_solvability(self.matrix[col][col], self.result[col])\r\n self.result[col] = self.divide(self.result[col], self.matrix[col][col])\r\n for row in range(col - 1, -1, -1):\r\n self.result[row] -= (self.result[col] * self.matrix[row][col])\r\n return self.result","def subtract(lhs, rhs):\n return _make.subtract(lhs, rhs)","def residuals(self, b):\n x, y = self.xvals, self.yvals\n return self._numexpr(x, *b) - y","def subtract(self, m): \n f = m.negate()\n return self.add(f)","def _residuals(params: List[float], xs: np.ndarray, ys: np.ndarray) -> float:\n return _model(params=params, xs=xs) - ys","def __rsub__(self, tensor):\n return -self + tensor","def __rsub__(self,oth):\n\t\toth_m = oth\n\t\tif not isinstance(oth_m,Matrix):\n\t\t\toth_m = Matrix(oth_m)\n\t\tres_m = oth_m._sub(self)\n\t\tif isinstance(oth,Matrix):\n\t\t\treturn res_m\n\t\telse:\n\t\t\treturn type(oth)(res_m._unnest())","def residual2(params, x, data):\n #get the value of the params from a dict\n parvals = params.valuesdict()\n B0 = parvals['B0']\n Tm = parvals['Tm']\n T0 = parvals['T0']\n model = B0*x*(x-T0)*((Tm-x)**0.5)\n return data - model","def matrixSubtraction(self, a, b):\n\t\n\t\tnumRows = len(a)\n\t\tnumCols = len(a[0])\n\t\n\t\treturn [[ a[j][i] - b[j][i] for i in range(numCols)] for j in range(numRows)]","def subtract(self):\n return self._do_calc(self.subtracter)","def subtract(self):\n return self._do_calc(self.subtracter)","def subtract(self):\n return self._do_calc(self.subtracter)","def __sub__(self, other):\r\n if isinstance(other, mat4):\r\n return mat4(map(lambda x,y: x-y, self.mlist, other.mlist))\r\n else:\r\n raise TypeError, \"unsupported operand type for -\"","def __rsub__(self,that):\n B = that if isinstance(that,Factor) else Factor([],that)\n return B.__opExpand2(self, np.subtract)","def __rsub__(self, other) -> 'MultiVector':\n\n other, mv = self._checkOther(other)\n if not mv:\n if isinstance(other, np.ndarray):\n obj = self.__array__()\n return other - obj\n newValue = other.value - self.value\n\n return self._newMV(newValue)","def residuals(self) -> npt.NDArray[np.float64]:\n return self.data - self.theory","def transverse_resonator(Rs, Q, wr, w):\n Rs = _np.array(Rs,ndmin=1,dtype=float)[:,None] # I am using broadcasting\n Q = _np.array(Q, ndmin=1,dtype=float)[:,None]\n wr = _np.array(wr,ndmin=1,dtype=float)[:,None]\n Zt = wr*Rs/(w + 1j*Q*(wr - w**2/wr))\n return Zt.sum(0).flatten()","def subtract_model(self, outfile, del_script=True):\n os.system('cp -r {} {}'.format(self.ms, outfile)) \n ct.subtract_model(outfile, delete=del_script)","def gmres_residual(A_mv: Callable, A_args: Sequence, b: jax.ShapedArray,\n x: jax.ShapedArray) -> Tuple[jax.ShapedArray, float]:\n r = b - A_mv(x, *A_args)\n beta = jnp.linalg.norm(r)\n return r, beta","def residual(var, matrix, RHSvector):\n from fipy.tools.numerix import array, LINFnorm\n \n Lx = matrix * array(var)\n return LINFnorm(Lx - RHSvector)","def subtract(self,ctSub):\n\n # First confirm eligible for subtraction\n if (not np.array_equal(self.x1_flat,ctSub.x1_flat)) or (not np.array_equal(self.x2_flat,ctSub.x2_flat)):\n raise Exception(\"Can't subtract because not meshed the same\")\n\n ctResult = copy.deepcopy(ctSub)# copy the class\n\n \n # Original method\n # ctResult.u = self.u - ctSub.u\n # ctResult.uMesh = griddata(np.column_stack([ctResult.y, ctResult.z]),ctResult.u,(ctResult.yMesh.flatten(), ctResult.zMesh.flatten()), method='cubic')\n\n # New method\n ctResult.u_mesh = self.u_mesh - ctSub.u_mesh\n ctResult.v_mesh = self.v_mesh - ctSub.v_mesh\n ctResult.w_mesh = self.w_mesh - ctSub.w_mesh\n ctResult.u_cubed = self.u_cubed - ctSub.u_cubed\n\n\n return ctResult","def _residual_lattice(self, params):\n model = np.sqrt(self.calc_q_square())\n data = np.absolute(self.q)\n return (model[self.mask] -data[self.mask])","def __rsub__(self, other):\n try:\n total = {self.var: 1, other.var: -1}\n return AutoDiffReverse(self.val - other.val, None, der=total)\n except AttributeError:\n return AutoDiffReverse(self.val - other, None, {self.var: -1})","def _cmplx_rsub_ ( s , o ) :\n return o - complex ( s )","def _diffmat_objective(a,X):\n \n (n,p) = X.shape\n return(X - np.tile(a,(n,1)))","def residual(t, x, xdot, result):\n result[0] = x[2]-xdot[0]\n result[1] = x[3]-xdot[1]\n result[2] = -xdot[2]+x[4]*x[0]/m\n result[3] = -xdot[3]+x[4]*x[1]/m-g\n result[4] = x[2]**2 + x[3]**2 \\\n + (x[0]**2 + x[1]**2)/m*x[4] - x[1] * g\n print(result)","def vct_resistance_correction(\n data: pd.DataFrame, data_TT_MDL: pd.DataFrame\n) -> pd.DataFrame:\n df_resistance = data.groupby(by=\"test type\").get_group(\"resistance\")\n result1 = least_squares(\n fun=error, x0=[0], kwargs={\"y\": df_resistance[\"fx\"], \"u\": df_resistance[\"u\"]}\n )\n\n data[\"fx\"] -= res(result1.x, u=data[\"u\"])\n\n R_m = data_TT_MDL[\"Rm [N]\"]\n fx = -R_m\n result2 = least_squares(\n fun=error,\n x0=result1.x,\n kwargs={\"y\": fx, \"u\": fx.index},\n )\n\n R_factor = 1.14\n # R_factor = 1.14 * 1.43\n data[\"fx\"] += R_factor * res(result2.x, u=data[\"u\"])\n\n return data","def residual(self,name):\n state = self.getstate(name)\n m = self.hit.vec \n x = state.vec\n res = m - self.hmatrix*x\n debug('kfnode.residual',(name,res))\n return res","def residuals_linear(params, t, data):\n \n #Get an ordered dictionary of parameter values\n v = params.valuesdict()\n \n #Cubic model\n model = v['a']*t**3 + v['b']*t**2 + v['c']*t + v['d']\n\n return model - data #Return residuals","def update_rhs(self, h, a, r):\n return Tensors(\n t1=r.t1 - a.t1 / cc_denom(h.f, 2, 'dir', 'full'),\n t2=r.t2 - a.t2 / cc_denom(h.f, 4, 'dir', 'full'),\n t3=r.t3 - (a.t3 - a.t3.transpose([0, 1, 2, 4, 3, 5])) /\n cc_denom(h.f, 6, 'dir', 'full')\n )","def update_rhs(self, h, a, r):\n return Tensors(\n t1=r.t1 - a.t1 / cc_denom(h.f, 2, 'dir', 'full'),\n t2=r.t2 - a.t2 / cc_denom(h.f, 4, 'dir', 'full'),\n t3=r.t3 - (a.t3 - a.t3.transpose([0, 1, 2, 4, 3, 5])) /\n cc_denom(h.f, 6, 'dir', 'full')\n )","def residuals(self, ts, rvs, p):\n\n if p.npl == 0:\n return rvs\n else:\n rvmodel = np.sum(rv.rv_model(ts,p), axis=0)\n return rvs - rvmodel","def soft_difference_constraint ( self , a , b , value , name = '' , title = '' ) :\n assert isinstance ( value , VE ) and 0 < value.cov2() ,\\\n \"Invalid ``value'': %s/%s\" % ( value , type ( value ) )\n \n fa = isinstance ( a , ROOT.RooAbsReal )\n fb = isinstance ( b , ROOT.RooAbsReal )\n\n if fa and fv :\n \n var = self.vars_subtract ( a , b ) \n return self.soft_constraint ( var , value , name , title )\n \n elif fa and isinstance ( b , num_types + (VE,) ) :\n \n return self.soft_constraint ( a , value + b , name , title )\n \n elif fb and isinstance ( a , num_types + (VE,) ) :\n \n return self.soft_constraint ( b , a - value , name , title )\n \n raise TypeError('Unknown types a&b: %s/%s' % ( type ( a ) , type ( b ) ) )","def substract(self, vector):\n\n # return (self.from_list([vector.vector[self.vector.index(x)]-x for x in\n # self.vector]))\n return Vector(self.x - vector.x, self.y - vector.y, self.z - vector.z)","def compute_residuals(self, model: Optional[CameraModel] = None) -> np.ndarray:\n # use the model attribute if necessary\n if model is None:\n model = self.model\n\n return self.measurements - np.concatenate(\n [model.project_onto_image(vecs, image=ind, temperature=self.temperatures[ind])\n for ind, vecs in enumerate(self.camera_frame_directions)], axis=1\n )","def objective_function(T_cr: np.ndarray) -> np.ndarray:\n \n Tm = (T_r + T_cr)/2.0\n ks = thermal_conductivity(Tm)\n T_cr_update = cooled_surface_temp_actual(T_r,q,delta_tc,ks)\n \n return np.linalg.norm(T_cr_update - T_cr,ord = 1)","def substract_signal(a, l, aij, temp, c, alpha, comp2, limit, b):\n\talpha = 0\n\ta[:, l[c[0]] - 64 : l[c[0]] + 65] -= aij * temp[:, :, c[1]] + alpha * comp2[:, :, c[1]]","def calculate_residuals(*, vo_data, model_data):\n # Drop the dates and then add back after residuals calculation\n dates = vo_data['date']\n vo_data.drop(vo_data.columns[[0]], axis=1, inplace=True)\n model_data.drop(model_data.columns[[0]], axis=1, inplace=True)\n # Calculate residuals as data minus model values\n residuals = pd.DataFrame(\n vo_data.values - model_data.values,\n columns=vo_data.columns)\n model_data.insert(0, 'date', dates)\n return residuals","def residuals(self, X=None, y=None) -> np.ndarray:\n if y is None:\n return self.model.data.y.unnormalized_y - self.predict(X)\n else:\n return y - self.predict(X)","def do_back_solve(self, rhs):\n if isinstance(rhs, BlockVector):\n _rhs = rhs.flatten()\n result = _rhs\n else:\n result = rhs.copy()\n\n self.mumps.set_rhs(result)\n self.mumps.run(job=3)\n\n if isinstance(rhs, BlockVector):\n _result = rhs.copy_structure()\n _result.copyfrom(result)\n result = _result\n \n return result","def reverse_matrix(self):\n return SWAP.matrix @ self.matrix @ SWAP.matrix","def substraction(self):\n try:\n substraction = self.matrix1 - self.matrix2\n except Exception as e:\n return \"Error: {}\".format(e)\n\n return substraction","def calc_nonlinear_rhs(self, A):\n cff = -1/(4*self.dx) \n N = self.N\n rhs = np.zeros((N,))\n alpha = self.alpha\n\n # Central difference for the interior points\n rhs[1:N-1] = cff*alpha[1:-1] * (A[2:]*A[2:] - A[0:-2]*A[0:-2])\n\n # Boundary term forward difference\n rhs[0] = 0.5*cff*alpha[0]*(A[1]*A[1] - A[0]*A[0])\n\n return rhs","def __sub__(self, other):\n # \n # TODO - your code here\n #\n result = [];\n for i in range(self.h):\n result.append([a-b for a,b in zip(self.g[i],other.g[i])]);\n \n return Matrix(result);","def residual(us):\n return self.h_S(z0, us) - h_P","def backward(self, residuals):\n in_channel, out_channel, kernel_size, a = self.weights.shape\n dw = np.zeros_like(self.weights) \n \n for i in range(in_channel):\n for o in range(out_channel):\n dw[i, o] += inv_conv2(self.in_val[:,:,i], \n residuals[:,:,o], \n self.stride)\n\n self.db += residuals.sum(axis=1).sum(axis=0)\n self.dw += dw \n gradient_x = np.zeros_like(self.in_val)\n \n for i in range(in_channel):\n for o in range(out_channel):\n gradient_x[:,:,i] += conv_delta(residuals[:,:,o] \n , self.weights[i][o]\n , self.stride\n , self.in_val.shape[0])\n \n return gradient_x","def _compute_residuals(self):\n residuls = self.I - self.E\n return residuls","def test_rsub():\n # Test for reverse subtraction with scalar Rnode object and float value\n x = Rnode(0.5)\n z = 0.1 - x\n try:\n assert z.value == x.value - 0.1\n except AssertionError as e:\n print(e)\n raise AssertionError","def residual(self, y,r):\n u,v,tt = self.split(y)\n fiu,fiv,fitt = self.problem.internal_forces(u,v,tt)\n R = np.concatenate((fiu,fiv,fitt))\n R = self.residualApplyBCs(R,y,r)\n return R","def vars_subtract ( self , var1 , var2 , name = '' , title = '' ) :\n\n f1 = isinstance ( var1 , num_types )\n f2 = isinstance ( var2 , num_types )\n\n if f1 and f2 :\n ##\n res = float ( var1 ) - float ( var2 )\n return ROOT.RooRealConstant.value ( res ) \n elif f1 :\n ## \n var1 = ROOT.RooRealConstant.value ( var1 ) \n return self.vars_subtract ( var1 , var2 , name , title )\n elif f2 :\n ## shortcut \n if 0 == var2 : return var1 ## SHORTCUT\n #\n var2 = ROOT.RooRealConstant.value ( var2 ) \n return self.vars_subtract ( var1 , var2 , name , title )\n\n self.aux_keep.append ( var1 )\n self.aux_keep.append ( var2 )\n\n result = Ostap.MoreRooFit.Subtraction ( var1 , var2 )\n self.aux_keep.append ( result )\n \n return result","def diff(t, y):\n origin = root.vectorize()\n root.tensorize(y)\n self.time = t if not imaginary else None\n self.eom()\n ans = root.vectorize(use_aux=True)\n root.tensorize(origin)\n return ans","def matSub(a, b):\n shape=matShape(a)\n return [[matGet(a,x,y)-matGet(b,x,y) for y in range(shape[1])] \\\n for x in range(shape[0])]","def _get_residuals(self, model: Model) -> np.ndarray:\n try:\n # pyre-fixme[16]: `Model` has no attribute `model`.\n return model.model.resid.values\n except Exception:\n fcst = model.predict(steps=1, freq=\"D\", include_history=True)\n # pyre-fixme[16]: `None` has no attribute `merge`.\n # pyre-fixme[16]: `Optional` has no attribute `to_dataframe`.\n merge = fcst.merge(model.data.to_dataframe(), on=\"time\")\n for col in merge.columns:\n if col != \"time\" and (\"fcst\" not in col):\n return merge[col].values - merge[\"fcst\"].values\n raise ValueError(\"Couldn't find residual or forecast values in model\")","def __rsub__(self, other):\n other = _to_complex(other)\n return ComplexVal(other.r - self.r, other.i - self.i)","def residuals(p, r, theta):\n return r - f(theta, p)","def __rsub__(self, other):\n return self._operation_sub(other, self)","def reverse_difference():","def residual1(params, x, data):\n #get the value of the params from a dict\n parvals = params.valuesdict()\n a = parvals['a']\n b = parvals['b']\n c = parvals['c']\n d = parvals['d']\n model = a + b*x + c*x**2 + d*x**3\n return data - model","def subtract_poly(a_remote, b_remote, m):\n # Copy the two arrays\n a = a_remote.copy()\n b = b_remote.copy()\n\n # Make the length the same\n sanitize_arrays(a, b)\n\n result = []\n # Subtract numbers with same index and modulo m them. Add to result\n for x, y in zip(a, b):\n result.append((x - y) % m)\n\n return clear_leading_zeroes(result)","def rhs(t, conc, S_matrix, educt_matrix, kin_par):\n fluxes = calculate_fluxes(conc, S_matrix, educt_matrix, kin_par)\n return np.dot(S_matrix, fluxes)","def tt_gmres_leftprecond(AOp, b, nrm_b, eps=1.e-6, maxIter=20, verbose=True, preconOp=None, adaptiveTolerance=True):\n\n def calc_solution():\n x = pitts_py.TensorTrain_double(b.dimensions())\n x.setZero()\n nrm_x = 0\n for i in range(len(y)):\n nrm_x = pitts_py.axpby(y[i], V[i], nrm_x, x, eps)\n return x, nrm_x\n\n def residual_error(x, nrm_x):\n #print(\"TT-GMRES: solution max rank %d\" % np.max(x.getTTranks()))\n # calculate real residual\n r = pitts_py.TensorTrain_double(b.dimensions())\n r_nrm = nrm_x * AOp(x, r, eps/10, maxRank=9999)\n if preconOp is not None:\n r_nrm = pitts_py.axpby(orig_nrm_b, orig_b, -r_nrm, r, eps/10, maxRank=9999)\n #print(\"TT-GMRES: real residual norm %g\" % (r_nrm/orig_nrm_b) )\n else:\n r_nrm = pitts_py.axpby(nrm_b, b, -r_nrm, r, eps/10, maxRank=9999)\n #print(\"TT-GMRES: real residual norm %g\" % (r_nrm/nrm_b) )\n return r_nrm\n\n if verbose:\n if preconOp is None:\n print('# \"iteration\" \"rel LSTQ norm\" \"rel residual norm\" \"new direction rank\" \"new Krylov vector rank\" \"solution rank\"')\n else:\n print('# \"iteration\" \"rel LSTQ norm\" \"rel residual norm\" \"new direction rank\" \"precond direction rank\" \"new Krylov vector rank\" \"solution rank\"')\n\n # assumes b is normalized and nrm_b is the desired rhs norm\n\n # left-preconditioning, transform RHS\n if preconOp is not None:\n orig_b = b\n orig_nrm_b = nrm_b\n b = pitts_py.TensorTrain_double(orig_b.dimensions())\n nrm_b = nrm_b * preconOp.apply(orig_b, b, eps / 10, 9999)\n nrm_b = nrm_b * pitts_py.normalize(b, eps/10, 9999)\n\n # define initial subspace\n beta = nrm_b\n curr_beta = beta\n V = [b]\n m = maxIter\n H = np.zeros((m + 1, m), order='F')\n\n if preconOp is not None:\n z = pitts_py.TensorTrain_double(b.dimensions())\n\n if verbose:\n #print(\"TT-GMRES: initial residual norm: %g, max. rank: %d\" % (beta, np.max(b.getTTranks())))\n if preconOp is None:\n print(0, 1, 1, np.max(b.getTTranks()), np.max(b.getTTranks()), 0)\n #print(\"TT-GMRES: un-preconditioned RHS max. rank: %d\" % np.max(orig_b.getTTranks()))\n else:\n print(0, 1, 1, np.max(orig_b.getTTranks()), np.max(b.getTTranks()), np.max(b.getTTranks()), 0)\n\n for j in range(m):\n if adaptiveTolerance:\n delta = eps / (curr_beta / beta) / (1.2 * m)\n else:\n delta = eps\n w = pitts_py.TensorTrain_double(b.dimensions())\n\n if preconOp is not None:\n z_nrm = AOp(V[j], z, delta, 9999)#, (j+1)*rank_b)\n w_nrm = z_nrm * preconOp.apply(z, w, delta, 9999)#, (j+2)*rank_b)\n else:\n w_nrm = AOp(V[j], w, delta, 9999)#, (j+2)*rank_b)\n\n if preconOp is not None:\n rank_z = np.max(z.getTTranks())\n rank_w = np.max(w.getTTranks())\n\n H[:j+2,j] = w_nrm * tt_pivmgs(V, w, delta, maxRank=9999)\n\n rank_vj = np.max(w.getTTranks())\n\n Hj = H[:j+2,:j+1]\n betae = np.zeros(j+2)\n betae[0] = beta\n # solving Hj * y = beta e_1\n y, curr_beta, rank, s = np.linalg.lstsq(Hj, betae, rcond=None)\n curr_beta = np.sqrt(curr_beta[0]) if curr_beta.size > 0 else 0\n if verbose:\n #print(\"TT-GMRES: LSTSQ residual norm: %g \" % (curr_beta / beta) )\n x, nrm_x = calc_solution()\n r_nrm = residual_error(x, nrm_x)\n rank_x = np.max(x.getTTranks())\n if preconOp is None:\n print(j+1, curr_beta/beta, r_nrm / nrm_b, rank_w, rank_vj, rank_x)\n else:\n print(j+1, curr_beta/beta, r_nrm / orig_nrm_b, rank_w, rank_z, rank_vj, rank_x)\n if curr_beta / beta <= eps:\n break\n\n if not verbose:\n x, nrm_x = calc_solution()\n return x, nrm_x","def residuals(self,x=None,y=None,retdata=False):\n if x is None or y is None:\n if self.data is None:\n raise ValueError('must either specify data or save fitted data')\n x,y,weights = self.data\n\n if self(x).shape != y.shape:\n raise ModelTypeError('y array does not match output of model for input x')\n if retdata:\n return x,y,y-self(x)\n else:\n return y-self(x)","def minusRes(res1, res2):\n return [(x - y) for x, y in zip(res1, res2)]","def rothesstri(A, b):\n n = shape(A)[0]\n A = hstack([A, b])\n for k in range(n-1):\n r = linalg.norm([ A[k , k] , A[k + 1, k] ])\n if r>0:\n c=A[k, k]/r; s=A[k + 1, k]/r\n A[[k, k + 1],(k + 1):(n + 1)]=[[c, s],[-s, c]]*A[[k, k + 1],(k + 1):(n + 1)]\n A[k, k] = r; A[k+1,k] = 0\n z = A[:, n].copy()\n rbacksolve(A[:, :n], z, n)\n return z","def residuals(data: DataVector, theory: TheoryVector) -> npt.NDArray[np.float64]:\n assert isinstance(data, DataVector)\n assert isinstance(theory, TheoryVector)\n return (data - theory).view(np.ndarray)","def __neg__(self):\r\n return mat4(map(lambda x: -x, self.mlist))","def diffMat(t1,t2):\n if len(t1.shape) > 1:\n T = multVarDiffMat(t1,t2)\n else:\n T = np.outer(t1,np.ones(len(t2))) - np.outer(np.ones(len(t1)),t2)\n return T","def _calculate_residual(original_values: List[Any], new_values: List[Any]) -> List[float]:\n residual = []\n for i in range(len(original_values)):\n residual.append(original_values[i] - new_values[i])\n return residual","def __neg__(self):\n a = -self._ar\n return Vector(a)","def subtract(self, other):\n if is_matrix(other):\n return self._sum_matrix(other, -1)\n elif mathutil.is_scalar(other):\n return self._sum_scalar(other, -1)\n else:\n self._logger.error(\n \"'Matrix' instance, int, float or complex expected, not '{}'\".format(type(other)))\n raise TypeError(\n \"'Matrix' instance, int, float or complex expected, not '{}'\".format(type(other)))","def revert(self, a):\n if self.is_one(a):\n return a\n else:\n raise NotReversible('only unity is reversible in a ring')","def __invert__(self):\n try:\n B = ~(self.matrix())\n except ZeroDivisionError:\n raise ZeroDivisionError(\"matrix morphism not invertible\")\n try:\n return self.parent().reversed()(B)\n except TypeError:\n raise ZeroDivisionError(\"matrix morphism not invertible\")","def backward(self, inputs): \n self.error = self.error * sigmoid(self.output, der=True) # because the activation function of last layer must be sigmoid\n delta3_weights = np.dot(self.z2.T, self.error)\n\n self.error = np.dot(self.error, self.output3_weights.T) * self.af(self.z2, der=True) \n delta2_weights = np.dot(self.z1.T, self.error)\n\n self.error = np.dot(self.error, self.hidden2_weights.T) * self.af(self.z1, der=True)\n delta1_weights = np.dot(inputs.T, self.error)\n\n self.hidden1_weights -= self.lr * delta1_weights\n self.hidden2_weights -= self.lr * delta2_weights\n self.output3_weights -= self.lr * delta3_weights","def update_r_tensor():\n A_op = linear_operator_r(num_w*num_o, D*num_rep, tensors_A, model.x_r, model.xs_l, model.x_orb)\n model.x_r[:,:] = __ridge_complex_lsqr(num_w*num_o, D * num_rep, A_op, y, model.alpha, atol=atol_lsqr, comm=comm).reshape((D, num_rep))","def __neg__(self):\n return self.coeff_mul(-1)","def subtracted_car(self):\n return SubtractedSolid(shape_in=self.filleted_car,\n tool=self.tools,\n mesh_deflection=1e-4)","def calculate_residuals(model, features, label):\r\n predictions = model.predict(features)\r\n df_results = pd.DataFrame({'Actual': label, 'Predicted': predictions})\r\n df_results['Residuals'] = abs(df_results['Actual']) - abs(df_results['Predicted'])\r\n \r\n return df_results","def difference_state(self, a: Vector, b: Vector, u: float, dt: float) -> Vector:\n return vectorops.mul(vectorops.sub(a,b),1.0/dt)","def __rsub__(self, other):\n return whitespaces.CURRENT.normalize(other) - self","def solve_R(R, b):\n n = b.size\n assert R.shape == (n,n)\n x = zeros(n, dtype=R.dtype)\n for i in range(n-1,-1,-1):\n x[i] = (b[i] - dot(x[i+1:], R[i,i+1:])) / R[i,i]\n if not numpy.isfinite(x[i]):\n x[i] = 0.0\n return x","def backward_selected(data, response, nominated = []):\r\n remaining = set(data.columns)\r\n remaining.remove(response)\r\n if nominated:\r\n print(\"you nominated variables %s\" %nominated)\r\n nominated = set(nominated)\r\n remaining^=nominated\r\n formula = \"{} ~ {} + 1\".format(response,' + '.join(remaining | nominated))\r\n current_score = smf.ols(formula, data).fit().rsquared_adj\r\n print(\"adj_r2 if all variables included: %f\" %current_score)\r\n best_new_score = current_score\r\n while remaining and current_score == best_new_score:\r\n scores_with_candidates = []\r\n for candidate in remaining:\r\n formula = \"{} ~ {} + 1\".format(response,\r\n ' + '.join(remaining^{candidate}|nominated))\r\n score = smf.ols(formula, data).fit().rsquared_adj\r\n scores_with_candidates.append((score, candidate))\r\n scores_with_candidates.sort()\r\n best_new_score, best_candidate = scores_with_candidates.pop()\r\n if current_score < best_new_score:\r\n print(\"deleting %s increases adj_r2 from %f to %f\" %(best_candidate, current_score, best_new_score))\r\n remaining.remove(best_candidate)\r\n current_score = best_new_score\r\n formula = \"{} ~ {} + 1\".format(response,\r\n ' + '.join(remaining|nominated))\r\n model = smf.ols(formula, data).fit()\r\n print(\"final model is %s, with adj_r2 of %f\" %(formula, model.rsquared_adj))\r\n return model","def phy_residual(self, x, t, u, v):\n \n u_t = torch.autograd.grad(\n u, t, \n grad_outputs=torch.ones_like(u),\n retain_graph=True,\n create_graph=True\n )[0]\n \n u_x = torch.autograd.grad(\n u, x, \n grad_outputs=torch.ones_like(u),\n retain_graph=True,\n create_graph=True\n )[0]\n \n u_xx = torch.autograd.grad(\n u_x, x, \n grad_outputs=torch.ones_like(u_x),\n retain_graph=True,\n create_graph=True\n )[0]\n \n v_t = torch.autograd.grad(\n v, t, \n grad_outputs=torch.ones_like(v),\n retain_graph=True,\n create_graph=True\n )[0]\n \n v_x = torch.autograd.grad(\n v, x, \n grad_outputs=torch.ones_like(v),\n retain_graph=True,\n create_graph=True\n )[0]\n \n v_xx = torch.autograd.grad(\n v_x, x, \n grad_outputs=torch.ones_like(v_x),\n retain_graph=True,\n create_graph=True\n )[0]\n \n f_u = u_t + 0.5*v_xx + (u**2 + v**2)*v\n f_v = v_t - 0.5*u_xx - (u**2 + v**2)*u \n return f_u, f_v","def diff(t, y):\n origin = tensor.array\n tensor.set_array(np.reshape(y, tensor.shape))\n ans = np.zeros_like(y)\n self.time = t if not imaginary else None\n for n in self.term_visitor(use_cache=True):\n ans += np.reshape(self._single_eom(tensor, n, cache=cache), -1)\n if self.init_energy is not None:\n ans -= self.init_energy * y\n ans /= self.coefficient()\n tensor.set_array(origin)\n return ans","def _r_inv(self):\n # [output_dim, output_dim]\n return tf.linalg.cholesky_solve(\n self._chol_obs_covariance,\n tf.eye(self.emission.output_dim, dtype=self._chol_obs_covariance.dtype),\n )","def matrix_subtraction(A, B):\n # Section 1: Ensure dimensions are valid for matrix subtraction\n rowsA = len(A); colsA = len(A[0])\n rowsB = len(B); colsB = len(B[0])\n if rowsA != rowsB or colsA != colsB:\n raise ArithmeticError('Matrices are NOT the same size.')\n\n # Section 2: Create a new matrix for the matrix difference\n C = zeros_matrix(rowsA, colsB)\n\n # Section 3: Perform element by element subtraction\n for i in range(rowsA):\n for j in range(colsB):\n C[i][j] = A[i][j] - B[i][j]\n\n return C","def equation(self):\n mat = np.zeros((self.nunknowns, self.model.neq))\n rhs = np.zeros(self.nunknowns) # Needs to be initialized to zero\n rhs[0:self.nlayers - 1] = 0.0\n rhs[self.nlayers - 1] = self.Qc\n ieq = 0\n for e in self.model.elementlist:\n if e.nunknowns > 0:\n head = e.potinflayers(self.xc, self.yc, self.layers) / self.aq.Tcol[self.layers, :]\n mat[0:self.nlayers - 1, ieq:ieq + e.nunknowns] = head[:-1] - head[1:]\n if e == self:\n for i in range(self.nlayers - 1):\n mat[i, ieq + i] -= self.resfac[i]\n mat[i, ieq + i + 1] += self.resfac[i + 1]\n mat[self.nlayers - 1, ieq:ieq + self.nlayers] = 1.0\n ieq += e.nunknowns\n else:\n head = e.potentiallayers(self.xc, self.yc, self.layers) / self.aq.T[self.layers]\n rhs[0:self.nlayers - 1] -= head[:-1] - head[1:]\n return mat, rhs","def fR(a, b, c, N, S, I, R, vital=False, vaccine=False, combined=False):\n\n if vital:\n temp = b*I - c*R - d*R\n elif vaccine:\n R = N - S - I\n temp = b*I - c*R + f*S\n elif combined:\n temp = b*I - c*R - d*R + f*S\n else:\n temp = 0\n\n return temp","def decompose_to_LU(a):\n # create emtpy LU-matrix\n lu_matrix = np.matrix(np.zeros([a.shape[0], a.shape[1]]))\n n = a.shape[0]\n\n for k in range(n):\n # calculate all residual k-row elements\n for j in range(k, n):\n lu_matrix[k, j] = a[k, j] - lu_matrix[k, :k] * lu_matrix[:k, j]\n # calculate all residual k-column elemetns\n for i in range(k + 1, n):\n lu_matrix[i, k] = (a[i, k] - lu_matrix[i, : k] * lu_matrix[: k, k]) / lu_matrix[k, k]\n\n return lu_matrix","def diff(self, x0, x1):\n nq, nv, nx = self.model.nq, self.model.nv, self.nx\n assert (x0.shape == (nx, ) and x1.shape == (nx, ))\n q0 = x0[:nq]\n q1 = x1[:nq]\n v0 = x0[-nv:]\n v1 = x1[-nv:]\n dq = pinocchio.difference(self.model, a2m(q0), a2m(q1))\n return np.concatenate([dq.flat, v1 - v0])","def inverse_rigid_trans(Tr): \n inv_Tr = np.zeros_like(Tr) # 3x4\n inv_Tr[0:3,0:3] = np.transpose(Tr[0:3,0:3])\n inv_Tr[0:3,3] = np.dot(-np.transpose(Tr[0:3,0:3]), Tr[0:3,3])\n return inv_Tr","def subtract_3_rasters(\r\n raster_path_a, raster_path_b, raster_path_c, target_path):\r\n a_nodata = pygeoprocessing.get_raster_info(raster_path_a)['nodata'][0]\r\n b_nodata = pygeoprocessing.get_raster_info(raster_path_b)['nodata'][0]\r\n c_nodata = pygeoprocessing.get_raster_info(raster_path_c)['nodata'][0]\r\n target_nodata = -9999\r\n\r\n def sub_op(a_array, b_array, c_array):\r\n \"\"\"Sub a-b-c as arrays.\"\"\"\r\n result = numpy.empty(a_array.shape, dtype=numpy.float32)\r\n result[:] = target_nodata\r\n valid_mask = (\r\n (a_array != a_nodata) &\r\n (b_array != b_nodata) &\r\n (c_array != c_nodata))\r\n result[valid_mask] = (\r\n a_array[valid_mask] - b_array[valid_mask] - c_array[valid_mask])\r\n return result\r\n\r\n pygeoprocessing.raster_calculator(\r\n [(raster_path_a, 1), (raster_path_b, 1), (raster_path_c, 1)],\r\n sub_op, target_path, gdal.GDT_Float32, target_nodata)","def __sub__(self, other):\n #\n # TODO - your code here\n #\n matrix_sub = []\n for i in range(self.h):\n row = []\n for j in range(self.w):\n row.append(self.g[i][j] - other.g[i][j])\n matrix_sub.append(row)\n return Matrix(matrix_sub)\n # TODO - your code here","def rhs(x, t):\n\n return - np.sin(np.pi * x) * (np.sin(t) - 1 * np.pi ** 2 * np.cos(t))","def __sub__(self, tc):\n tc = TwosComplement(tc)._negative()\n return self.__add__(tc)","def residualNorm2(self):\n r2 = (np.dot(self.x,np.dot(self.AtA,self.x)-2.0*self.Atb) + self.btb)*self.scale\n if self.regularizationLambda > 0:\n r2 -= self.regularizationLambda*np.dot(self.x,self.x)\n return r2","def subtract_2_rasters(\r\n raster_path_a, raster_path_b, target_path):\r\n a_nodata = pygeoprocessing.get_raster_info(raster_path_a)['nodata'][0]\r\n b_nodata = pygeoprocessing.get_raster_info(raster_path_b)['nodata'][0]\r\n target_nodata = -9999\r\n\r\n def sub_op(a_array, b_array):\r\n \"\"\"Sub a-b-c as arrays.\"\"\"\r\n result = numpy.empty(a_array.shape, dtype=numpy.float32)\r\n result[:] = target_nodata\r\n valid_mask = (\r\n (a_array != a_nodata) &\r\n (b_array != b_nodata))\r\n result[valid_mask] = (\r\n a_array[valid_mask] - b_array[valid_mask])\r\n return result\r\n\r\n pygeoprocessing.raster_calculator(\r\n [(raster_path_a, 1), (raster_path_b, 1)],\r\n sub_op, target_path, gdal.GDT_Float32, target_nodata)","def _residual(self, x):\n h = x\n h = self.b1(h)\n h = self.activation(h)\n h = self._upsample_conv(h, self.c1) if self.upsample else self.c1(h)\n h = self.b2(h)\n h = self.activation(h)\n h = self.c2(h)\n\n return h","def subtract(self, other):\n return self.add(other.neg())"],"string":"[\n \"def residual_of(self, z):\\n return np.subtract(z, self.HJacob(self.x)@self.x_prior)\",\n \"def residual_of(self, z):\\n raise \\\"Not implemented yet\\\"\\n return z - dot(self._H, self._x)\",\n \"def back_substitution(self):\\r\\n for col in range(self.SIZE - 1, -1, -1):\\r\\n self.check_solvability(self.matrix[col][col], self.result[col])\\r\\n self.result[col] = self.divide(self.result[col], self.matrix[col][col])\\r\\n for row in range(col - 1, -1, -1):\\r\\n self.result[row] -= (self.result[col] * self.matrix[row][col])\\r\\n return self.result\",\n \"def subtract(lhs, rhs):\\n return _make.subtract(lhs, rhs)\",\n \"def residuals(self, b):\\n x, y = self.xvals, self.yvals\\n return self._numexpr(x, *b) - y\",\n \"def subtract(self, m): \\n f = m.negate()\\n return self.add(f)\",\n \"def _residuals(params: List[float], xs: np.ndarray, ys: np.ndarray) -> float:\\n return _model(params=params, xs=xs) - ys\",\n \"def __rsub__(self, tensor):\\n return -self + tensor\",\n \"def __rsub__(self,oth):\\n\\t\\toth_m = oth\\n\\t\\tif not isinstance(oth_m,Matrix):\\n\\t\\t\\toth_m = Matrix(oth_m)\\n\\t\\tres_m = oth_m._sub(self)\\n\\t\\tif isinstance(oth,Matrix):\\n\\t\\t\\treturn res_m\\n\\t\\telse:\\n\\t\\t\\treturn type(oth)(res_m._unnest())\",\n \"def residual2(params, x, data):\\n #get the value of the params from a dict\\n parvals = params.valuesdict()\\n B0 = parvals['B0']\\n Tm = parvals['Tm']\\n T0 = parvals['T0']\\n model = B0*x*(x-T0)*((Tm-x)**0.5)\\n return data - model\",\n \"def matrixSubtraction(self, a, b):\\n\\t\\n\\t\\tnumRows = len(a)\\n\\t\\tnumCols = len(a[0])\\n\\t\\n\\t\\treturn [[ a[j][i] - b[j][i] for i in range(numCols)] for j in range(numRows)]\",\n \"def subtract(self):\\n return self._do_calc(self.subtracter)\",\n \"def subtract(self):\\n return self._do_calc(self.subtracter)\",\n \"def subtract(self):\\n return self._do_calc(self.subtracter)\",\n \"def __sub__(self, other):\\r\\n if isinstance(other, mat4):\\r\\n return mat4(map(lambda x,y: x-y, self.mlist, other.mlist))\\r\\n else:\\r\\n raise TypeError, \\\"unsupported operand type for -\\\"\",\n \"def __rsub__(self,that):\\n B = that if isinstance(that,Factor) else Factor([],that)\\n return B.__opExpand2(self, np.subtract)\",\n \"def __rsub__(self, other) -> 'MultiVector':\\n\\n other, mv = self._checkOther(other)\\n if not mv:\\n if isinstance(other, np.ndarray):\\n obj = self.__array__()\\n return other - obj\\n newValue = other.value - self.value\\n\\n return self._newMV(newValue)\",\n \"def residuals(self) -> npt.NDArray[np.float64]:\\n return self.data - self.theory\",\n \"def transverse_resonator(Rs, Q, wr, w):\\n Rs = _np.array(Rs,ndmin=1,dtype=float)[:,None] # I am using broadcasting\\n Q = _np.array(Q, ndmin=1,dtype=float)[:,None]\\n wr = _np.array(wr,ndmin=1,dtype=float)[:,None]\\n Zt = wr*Rs/(w + 1j*Q*(wr - w**2/wr))\\n return Zt.sum(0).flatten()\",\n \"def subtract_model(self, outfile, del_script=True):\\n os.system('cp -r {} {}'.format(self.ms, outfile)) \\n ct.subtract_model(outfile, delete=del_script)\",\n \"def gmres_residual(A_mv: Callable, A_args: Sequence, b: jax.ShapedArray,\\n x: jax.ShapedArray) -> Tuple[jax.ShapedArray, float]:\\n r = b - A_mv(x, *A_args)\\n beta = jnp.linalg.norm(r)\\n return r, beta\",\n \"def residual(var, matrix, RHSvector):\\n from fipy.tools.numerix import array, LINFnorm\\n \\n Lx = matrix * array(var)\\n return LINFnorm(Lx - RHSvector)\",\n \"def subtract(self,ctSub):\\n\\n # First confirm eligible for subtraction\\n if (not np.array_equal(self.x1_flat,ctSub.x1_flat)) or (not np.array_equal(self.x2_flat,ctSub.x2_flat)):\\n raise Exception(\\\"Can't subtract because not meshed the same\\\")\\n\\n ctResult = copy.deepcopy(ctSub)# copy the class\\n\\n \\n # Original method\\n # ctResult.u = self.u - ctSub.u\\n # ctResult.uMesh = griddata(np.column_stack([ctResult.y, ctResult.z]),ctResult.u,(ctResult.yMesh.flatten(), ctResult.zMesh.flatten()), method='cubic')\\n\\n # New method\\n ctResult.u_mesh = self.u_mesh - ctSub.u_mesh\\n ctResult.v_mesh = self.v_mesh - ctSub.v_mesh\\n ctResult.w_mesh = self.w_mesh - ctSub.w_mesh\\n ctResult.u_cubed = self.u_cubed - ctSub.u_cubed\\n\\n\\n return ctResult\",\n \"def _residual_lattice(self, params):\\n model = np.sqrt(self.calc_q_square())\\n data = np.absolute(self.q)\\n return (model[self.mask] -data[self.mask])\",\n \"def __rsub__(self, other):\\n try:\\n total = {self.var: 1, other.var: -1}\\n return AutoDiffReverse(self.val - other.val, None, der=total)\\n except AttributeError:\\n return AutoDiffReverse(self.val - other, None, {self.var: -1})\",\n \"def _cmplx_rsub_ ( s , o ) :\\n return o - complex ( s )\",\n \"def _diffmat_objective(a,X):\\n \\n (n,p) = X.shape\\n return(X - np.tile(a,(n,1)))\",\n \"def residual(t, x, xdot, result):\\n result[0] = x[2]-xdot[0]\\n result[1] = x[3]-xdot[1]\\n result[2] = -xdot[2]+x[4]*x[0]/m\\n result[3] = -xdot[3]+x[4]*x[1]/m-g\\n result[4] = x[2]**2 + x[3]**2 \\\\\\n + (x[0]**2 + x[1]**2)/m*x[4] - x[1] * g\\n print(result)\",\n \"def vct_resistance_correction(\\n data: pd.DataFrame, data_TT_MDL: pd.DataFrame\\n) -> pd.DataFrame:\\n df_resistance = data.groupby(by=\\\"test type\\\").get_group(\\\"resistance\\\")\\n result1 = least_squares(\\n fun=error, x0=[0], kwargs={\\\"y\\\": df_resistance[\\\"fx\\\"], \\\"u\\\": df_resistance[\\\"u\\\"]}\\n )\\n\\n data[\\\"fx\\\"] -= res(result1.x, u=data[\\\"u\\\"])\\n\\n R_m = data_TT_MDL[\\\"Rm [N]\\\"]\\n fx = -R_m\\n result2 = least_squares(\\n fun=error,\\n x0=result1.x,\\n kwargs={\\\"y\\\": fx, \\\"u\\\": fx.index},\\n )\\n\\n R_factor = 1.14\\n # R_factor = 1.14 * 1.43\\n data[\\\"fx\\\"] += R_factor * res(result2.x, u=data[\\\"u\\\"])\\n\\n return data\",\n \"def residual(self,name):\\n state = self.getstate(name)\\n m = self.hit.vec \\n x = state.vec\\n res = m - self.hmatrix*x\\n debug('kfnode.residual',(name,res))\\n return res\",\n \"def residuals_linear(params, t, data):\\n \\n #Get an ordered dictionary of parameter values\\n v = params.valuesdict()\\n \\n #Cubic model\\n model = v['a']*t**3 + v['b']*t**2 + v['c']*t + v['d']\\n\\n return model - data #Return residuals\",\n \"def update_rhs(self, h, a, r):\\n return Tensors(\\n t1=r.t1 - a.t1 / cc_denom(h.f, 2, 'dir', 'full'),\\n t2=r.t2 - a.t2 / cc_denom(h.f, 4, 'dir', 'full'),\\n t3=r.t3 - (a.t3 - a.t3.transpose([0, 1, 2, 4, 3, 5])) /\\n cc_denom(h.f, 6, 'dir', 'full')\\n )\",\n \"def update_rhs(self, h, a, r):\\n return Tensors(\\n t1=r.t1 - a.t1 / cc_denom(h.f, 2, 'dir', 'full'),\\n t2=r.t2 - a.t2 / cc_denom(h.f, 4, 'dir', 'full'),\\n t3=r.t3 - (a.t3 - a.t3.transpose([0, 1, 2, 4, 3, 5])) /\\n cc_denom(h.f, 6, 'dir', 'full')\\n )\",\n \"def residuals(self, ts, rvs, p):\\n\\n if p.npl == 0:\\n return rvs\\n else:\\n rvmodel = np.sum(rv.rv_model(ts,p), axis=0)\\n return rvs - rvmodel\",\n \"def soft_difference_constraint ( self , a , b , value , name = '' , title = '' ) :\\n assert isinstance ( value , VE ) and 0 < value.cov2() ,\\\\\\n \\\"Invalid ``value'': %s/%s\\\" % ( value , type ( value ) )\\n \\n fa = isinstance ( a , ROOT.RooAbsReal )\\n fb = isinstance ( b , ROOT.RooAbsReal )\\n\\n if fa and fv :\\n \\n var = self.vars_subtract ( a , b ) \\n return self.soft_constraint ( var , value , name , title )\\n \\n elif fa and isinstance ( b , num_types + (VE,) ) :\\n \\n return self.soft_constraint ( a , value + b , name , title )\\n \\n elif fb and isinstance ( a , num_types + (VE,) ) :\\n \\n return self.soft_constraint ( b , a - value , name , title )\\n \\n raise TypeError('Unknown types a&b: %s/%s' % ( type ( a ) , type ( b ) ) )\",\n \"def substract(self, vector):\\n\\n # return (self.from_list([vector.vector[self.vector.index(x)]-x for x in\\n # self.vector]))\\n return Vector(self.x - vector.x, self.y - vector.y, self.z - vector.z)\",\n \"def compute_residuals(self, model: Optional[CameraModel] = None) -> np.ndarray:\\n # use the model attribute if necessary\\n if model is None:\\n model = self.model\\n\\n return self.measurements - np.concatenate(\\n [model.project_onto_image(vecs, image=ind, temperature=self.temperatures[ind])\\n for ind, vecs in enumerate(self.camera_frame_directions)], axis=1\\n )\",\n \"def objective_function(T_cr: np.ndarray) -> np.ndarray:\\n \\n Tm = (T_r + T_cr)/2.0\\n ks = thermal_conductivity(Tm)\\n T_cr_update = cooled_surface_temp_actual(T_r,q,delta_tc,ks)\\n \\n return np.linalg.norm(T_cr_update - T_cr,ord = 1)\",\n \"def substract_signal(a, l, aij, temp, c, alpha, comp2, limit, b):\\n\\talpha = 0\\n\\ta[:, l[c[0]] - 64 : l[c[0]] + 65] -= aij * temp[:, :, c[1]] + alpha * comp2[:, :, c[1]]\",\n \"def calculate_residuals(*, vo_data, model_data):\\n # Drop the dates and then add back after residuals calculation\\n dates = vo_data['date']\\n vo_data.drop(vo_data.columns[[0]], axis=1, inplace=True)\\n model_data.drop(model_data.columns[[0]], axis=1, inplace=True)\\n # Calculate residuals as data minus model values\\n residuals = pd.DataFrame(\\n vo_data.values - model_data.values,\\n columns=vo_data.columns)\\n model_data.insert(0, 'date', dates)\\n return residuals\",\n \"def residuals(self, X=None, y=None) -> np.ndarray:\\n if y is None:\\n return self.model.data.y.unnormalized_y - self.predict(X)\\n else:\\n return y - self.predict(X)\",\n \"def do_back_solve(self, rhs):\\n if isinstance(rhs, BlockVector):\\n _rhs = rhs.flatten()\\n result = _rhs\\n else:\\n result = rhs.copy()\\n\\n self.mumps.set_rhs(result)\\n self.mumps.run(job=3)\\n\\n if isinstance(rhs, BlockVector):\\n _result = rhs.copy_structure()\\n _result.copyfrom(result)\\n result = _result\\n \\n return result\",\n \"def reverse_matrix(self):\\n return SWAP.matrix @ self.matrix @ SWAP.matrix\",\n \"def substraction(self):\\n try:\\n substraction = self.matrix1 - self.matrix2\\n except Exception as e:\\n return \\\"Error: {}\\\".format(e)\\n\\n return substraction\",\n \"def calc_nonlinear_rhs(self, A):\\n cff = -1/(4*self.dx) \\n N = self.N\\n rhs = np.zeros((N,))\\n alpha = self.alpha\\n\\n # Central difference for the interior points\\n rhs[1:N-1] = cff*alpha[1:-1] * (A[2:]*A[2:] - A[0:-2]*A[0:-2])\\n\\n # Boundary term forward difference\\n rhs[0] = 0.5*cff*alpha[0]*(A[1]*A[1] - A[0]*A[0])\\n\\n return rhs\",\n \"def __sub__(self, other):\\n # \\n # TODO - your code here\\n #\\n result = [];\\n for i in range(self.h):\\n result.append([a-b for a,b in zip(self.g[i],other.g[i])]);\\n \\n return Matrix(result);\",\n \"def residual(us):\\n return self.h_S(z0, us) - h_P\",\n \"def backward(self, residuals):\\n in_channel, out_channel, kernel_size, a = self.weights.shape\\n dw = np.zeros_like(self.weights) \\n \\n for i in range(in_channel):\\n for o in range(out_channel):\\n dw[i, o] += inv_conv2(self.in_val[:,:,i], \\n residuals[:,:,o], \\n self.stride)\\n\\n self.db += residuals.sum(axis=1).sum(axis=0)\\n self.dw += dw \\n gradient_x = np.zeros_like(self.in_val)\\n \\n for i in range(in_channel):\\n for o in range(out_channel):\\n gradient_x[:,:,i] += conv_delta(residuals[:,:,o] \\n , self.weights[i][o]\\n , self.stride\\n , self.in_val.shape[0])\\n \\n return gradient_x\",\n \"def _compute_residuals(self):\\n residuls = self.I - self.E\\n return residuls\",\n \"def test_rsub():\\n # Test for reverse subtraction with scalar Rnode object and float value\\n x = Rnode(0.5)\\n z = 0.1 - x\\n try:\\n assert z.value == x.value - 0.1\\n except AssertionError as e:\\n print(e)\\n raise AssertionError\",\n \"def residual(self, y,r):\\n u,v,tt = self.split(y)\\n fiu,fiv,fitt = self.problem.internal_forces(u,v,tt)\\n R = np.concatenate((fiu,fiv,fitt))\\n R = self.residualApplyBCs(R,y,r)\\n return R\",\n \"def vars_subtract ( self , var1 , var2 , name = '' , title = '' ) :\\n\\n f1 = isinstance ( var1 , num_types )\\n f2 = isinstance ( var2 , num_types )\\n\\n if f1 and f2 :\\n ##\\n res = float ( var1 ) - float ( var2 )\\n return ROOT.RooRealConstant.value ( res ) \\n elif f1 :\\n ## \\n var1 = ROOT.RooRealConstant.value ( var1 ) \\n return self.vars_subtract ( var1 , var2 , name , title )\\n elif f2 :\\n ## shortcut \\n if 0 == var2 : return var1 ## SHORTCUT\\n #\\n var2 = ROOT.RooRealConstant.value ( var2 ) \\n return self.vars_subtract ( var1 , var2 , name , title )\\n\\n self.aux_keep.append ( var1 )\\n self.aux_keep.append ( var2 )\\n\\n result = Ostap.MoreRooFit.Subtraction ( var1 , var2 )\\n self.aux_keep.append ( result )\\n \\n return result\",\n \"def diff(t, y):\\n origin = root.vectorize()\\n root.tensorize(y)\\n self.time = t if not imaginary else None\\n self.eom()\\n ans = root.vectorize(use_aux=True)\\n root.tensorize(origin)\\n return ans\",\n \"def matSub(a, b):\\n shape=matShape(a)\\n return [[matGet(a,x,y)-matGet(b,x,y) for y in range(shape[1])] \\\\\\n for x in range(shape[0])]\",\n \"def _get_residuals(self, model: Model) -> np.ndarray:\\n try:\\n # pyre-fixme[16]: `Model` has no attribute `model`.\\n return model.model.resid.values\\n except Exception:\\n fcst = model.predict(steps=1, freq=\\\"D\\\", include_history=True)\\n # pyre-fixme[16]: `None` has no attribute `merge`.\\n # pyre-fixme[16]: `Optional` has no attribute `to_dataframe`.\\n merge = fcst.merge(model.data.to_dataframe(), on=\\\"time\\\")\\n for col in merge.columns:\\n if col != \\\"time\\\" and (\\\"fcst\\\" not in col):\\n return merge[col].values - merge[\\\"fcst\\\"].values\\n raise ValueError(\\\"Couldn't find residual or forecast values in model\\\")\",\n \"def __rsub__(self, other):\\n other = _to_complex(other)\\n return ComplexVal(other.r - self.r, other.i - self.i)\",\n \"def residuals(p, r, theta):\\n return r - f(theta, p)\",\n \"def __rsub__(self, other):\\n return self._operation_sub(other, self)\",\n \"def reverse_difference():\",\n \"def residual1(params, x, data):\\n #get the value of the params from a dict\\n parvals = params.valuesdict()\\n a = parvals['a']\\n b = parvals['b']\\n c = parvals['c']\\n d = parvals['d']\\n model = a + b*x + c*x**2 + d*x**3\\n return data - model\",\n \"def subtract_poly(a_remote, b_remote, m):\\n # Copy the two arrays\\n a = a_remote.copy()\\n b = b_remote.copy()\\n\\n # Make the length the same\\n sanitize_arrays(a, b)\\n\\n result = []\\n # Subtract numbers with same index and modulo m them. Add to result\\n for x, y in zip(a, b):\\n result.append((x - y) % m)\\n\\n return clear_leading_zeroes(result)\",\n \"def rhs(t, conc, S_matrix, educt_matrix, kin_par):\\n fluxes = calculate_fluxes(conc, S_matrix, educt_matrix, kin_par)\\n return np.dot(S_matrix, fluxes)\",\n \"def tt_gmres_leftprecond(AOp, b, nrm_b, eps=1.e-6, maxIter=20, verbose=True, preconOp=None, adaptiveTolerance=True):\\n\\n def calc_solution():\\n x = pitts_py.TensorTrain_double(b.dimensions())\\n x.setZero()\\n nrm_x = 0\\n for i in range(len(y)):\\n nrm_x = pitts_py.axpby(y[i], V[i], nrm_x, x, eps)\\n return x, nrm_x\\n\\n def residual_error(x, nrm_x):\\n #print(\\\"TT-GMRES: solution max rank %d\\\" % np.max(x.getTTranks()))\\n # calculate real residual\\n r = pitts_py.TensorTrain_double(b.dimensions())\\n r_nrm = nrm_x * AOp(x, r, eps/10, maxRank=9999)\\n if preconOp is not None:\\n r_nrm = pitts_py.axpby(orig_nrm_b, orig_b, -r_nrm, r, eps/10, maxRank=9999)\\n #print(\\\"TT-GMRES: real residual norm %g\\\" % (r_nrm/orig_nrm_b) )\\n else:\\n r_nrm = pitts_py.axpby(nrm_b, b, -r_nrm, r, eps/10, maxRank=9999)\\n #print(\\\"TT-GMRES: real residual norm %g\\\" % (r_nrm/nrm_b) )\\n return r_nrm\\n\\n if verbose:\\n if preconOp is None:\\n print('# \\\"iteration\\\" \\\"rel LSTQ norm\\\" \\\"rel residual norm\\\" \\\"new direction rank\\\" \\\"new Krylov vector rank\\\" \\\"solution rank\\\"')\\n else:\\n print('# \\\"iteration\\\" \\\"rel LSTQ norm\\\" \\\"rel residual norm\\\" \\\"new direction rank\\\" \\\"precond direction rank\\\" \\\"new Krylov vector rank\\\" \\\"solution rank\\\"')\\n\\n # assumes b is normalized and nrm_b is the desired rhs norm\\n\\n # left-preconditioning, transform RHS\\n if preconOp is not None:\\n orig_b = b\\n orig_nrm_b = nrm_b\\n b = pitts_py.TensorTrain_double(orig_b.dimensions())\\n nrm_b = nrm_b * preconOp.apply(orig_b, b, eps / 10, 9999)\\n nrm_b = nrm_b * pitts_py.normalize(b, eps/10, 9999)\\n\\n # define initial subspace\\n beta = nrm_b\\n curr_beta = beta\\n V = [b]\\n m = maxIter\\n H = np.zeros((m + 1, m), order='F')\\n\\n if preconOp is not None:\\n z = pitts_py.TensorTrain_double(b.dimensions())\\n\\n if verbose:\\n #print(\\\"TT-GMRES: initial residual norm: %g, max. rank: %d\\\" % (beta, np.max(b.getTTranks())))\\n if preconOp is None:\\n print(0, 1, 1, np.max(b.getTTranks()), np.max(b.getTTranks()), 0)\\n #print(\\\"TT-GMRES: un-preconditioned RHS max. rank: %d\\\" % np.max(orig_b.getTTranks()))\\n else:\\n print(0, 1, 1, np.max(orig_b.getTTranks()), np.max(b.getTTranks()), np.max(b.getTTranks()), 0)\\n\\n for j in range(m):\\n if adaptiveTolerance:\\n delta = eps / (curr_beta / beta) / (1.2 * m)\\n else:\\n delta = eps\\n w = pitts_py.TensorTrain_double(b.dimensions())\\n\\n if preconOp is not None:\\n z_nrm = AOp(V[j], z, delta, 9999)#, (j+1)*rank_b)\\n w_nrm = z_nrm * preconOp.apply(z, w, delta, 9999)#, (j+2)*rank_b)\\n else:\\n w_nrm = AOp(V[j], w, delta, 9999)#, (j+2)*rank_b)\\n\\n if preconOp is not None:\\n rank_z = np.max(z.getTTranks())\\n rank_w = np.max(w.getTTranks())\\n\\n H[:j+2,j] = w_nrm * tt_pivmgs(V, w, delta, maxRank=9999)\\n\\n rank_vj = np.max(w.getTTranks())\\n\\n Hj = H[:j+2,:j+1]\\n betae = np.zeros(j+2)\\n betae[0] = beta\\n # solving Hj * y = beta e_1\\n y, curr_beta, rank, s = np.linalg.lstsq(Hj, betae, rcond=None)\\n curr_beta = np.sqrt(curr_beta[0]) if curr_beta.size > 0 else 0\\n if verbose:\\n #print(\\\"TT-GMRES: LSTSQ residual norm: %g \\\" % (curr_beta / beta) )\\n x, nrm_x = calc_solution()\\n r_nrm = residual_error(x, nrm_x)\\n rank_x = np.max(x.getTTranks())\\n if preconOp is None:\\n print(j+1, curr_beta/beta, r_nrm / nrm_b, rank_w, rank_vj, rank_x)\\n else:\\n print(j+1, curr_beta/beta, r_nrm / orig_nrm_b, rank_w, rank_z, rank_vj, rank_x)\\n if curr_beta / beta <= eps:\\n break\\n\\n if not verbose:\\n x, nrm_x = calc_solution()\\n return x, nrm_x\",\n \"def residuals(self,x=None,y=None,retdata=False):\\n if x is None or y is None:\\n if self.data is None:\\n raise ValueError('must either specify data or save fitted data')\\n x,y,weights = self.data\\n\\n if self(x).shape != y.shape:\\n raise ModelTypeError('y array does not match output of model for input x')\\n if retdata:\\n return x,y,y-self(x)\\n else:\\n return y-self(x)\",\n \"def minusRes(res1, res2):\\n return [(x - y) for x, y in zip(res1, res2)]\",\n \"def rothesstri(A, b):\\n n = shape(A)[0]\\n A = hstack([A, b])\\n for k in range(n-1):\\n r = linalg.norm([ A[k , k] , A[k + 1, k] ])\\n if r>0:\\n c=A[k, k]/r; s=A[k + 1, k]/r\\n A[[k, k + 1],(k + 1):(n + 1)]=[[c, s],[-s, c]]*A[[k, k + 1],(k + 1):(n + 1)]\\n A[k, k] = r; A[k+1,k] = 0\\n z = A[:, n].copy()\\n rbacksolve(A[:, :n], z, n)\\n return z\",\n \"def residuals(data: DataVector, theory: TheoryVector) -> npt.NDArray[np.float64]:\\n assert isinstance(data, DataVector)\\n assert isinstance(theory, TheoryVector)\\n return (data - theory).view(np.ndarray)\",\n \"def __neg__(self):\\r\\n return mat4(map(lambda x: -x, self.mlist))\",\n \"def diffMat(t1,t2):\\n if len(t1.shape) > 1:\\n T = multVarDiffMat(t1,t2)\\n else:\\n T = np.outer(t1,np.ones(len(t2))) - np.outer(np.ones(len(t1)),t2)\\n return T\",\n \"def _calculate_residual(original_values: List[Any], new_values: List[Any]) -> List[float]:\\n residual = []\\n for i in range(len(original_values)):\\n residual.append(original_values[i] - new_values[i])\\n return residual\",\n \"def __neg__(self):\\n a = -self._ar\\n return Vector(a)\",\n \"def subtract(self, other):\\n if is_matrix(other):\\n return self._sum_matrix(other, -1)\\n elif mathutil.is_scalar(other):\\n return self._sum_scalar(other, -1)\\n else:\\n self._logger.error(\\n \\\"'Matrix' instance, int, float or complex expected, not '{}'\\\".format(type(other)))\\n raise TypeError(\\n \\\"'Matrix' instance, int, float or complex expected, not '{}'\\\".format(type(other)))\",\n \"def revert(self, a):\\n if self.is_one(a):\\n return a\\n else:\\n raise NotReversible('only unity is reversible in a ring')\",\n \"def __invert__(self):\\n try:\\n B = ~(self.matrix())\\n except ZeroDivisionError:\\n raise ZeroDivisionError(\\\"matrix morphism not invertible\\\")\\n try:\\n return self.parent().reversed()(B)\\n except TypeError:\\n raise ZeroDivisionError(\\\"matrix morphism not invertible\\\")\",\n \"def backward(self, inputs): \\n self.error = self.error * sigmoid(self.output, der=True) # because the activation function of last layer must be sigmoid\\n delta3_weights = np.dot(self.z2.T, self.error)\\n\\n self.error = np.dot(self.error, self.output3_weights.T) * self.af(self.z2, der=True) \\n delta2_weights = np.dot(self.z1.T, self.error)\\n\\n self.error = np.dot(self.error, self.hidden2_weights.T) * self.af(self.z1, der=True)\\n delta1_weights = np.dot(inputs.T, self.error)\\n\\n self.hidden1_weights -= self.lr * delta1_weights\\n self.hidden2_weights -= self.lr * delta2_weights\\n self.output3_weights -= self.lr * delta3_weights\",\n \"def update_r_tensor():\\n A_op = linear_operator_r(num_w*num_o, D*num_rep, tensors_A, model.x_r, model.xs_l, model.x_orb)\\n model.x_r[:,:] = __ridge_complex_lsqr(num_w*num_o, D * num_rep, A_op, y, model.alpha, atol=atol_lsqr, comm=comm).reshape((D, num_rep))\",\n \"def __neg__(self):\\n return self.coeff_mul(-1)\",\n \"def subtracted_car(self):\\n return SubtractedSolid(shape_in=self.filleted_car,\\n tool=self.tools,\\n mesh_deflection=1e-4)\",\n \"def calculate_residuals(model, features, label):\\r\\n predictions = model.predict(features)\\r\\n df_results = pd.DataFrame({'Actual': label, 'Predicted': predictions})\\r\\n df_results['Residuals'] = abs(df_results['Actual']) - abs(df_results['Predicted'])\\r\\n \\r\\n return df_results\",\n \"def difference_state(self, a: Vector, b: Vector, u: float, dt: float) -> Vector:\\n return vectorops.mul(vectorops.sub(a,b),1.0/dt)\",\n \"def __rsub__(self, other):\\n return whitespaces.CURRENT.normalize(other) - self\",\n \"def solve_R(R, b):\\n n = b.size\\n assert R.shape == (n,n)\\n x = zeros(n, dtype=R.dtype)\\n for i in range(n-1,-1,-1):\\n x[i] = (b[i] - dot(x[i+1:], R[i,i+1:])) / R[i,i]\\n if not numpy.isfinite(x[i]):\\n x[i] = 0.0\\n return x\",\n \"def backward_selected(data, response, nominated = []):\\r\\n remaining = set(data.columns)\\r\\n remaining.remove(response)\\r\\n if nominated:\\r\\n print(\\\"you nominated variables %s\\\" %nominated)\\r\\n nominated = set(nominated)\\r\\n remaining^=nominated\\r\\n formula = \\\"{} ~ {} + 1\\\".format(response,' + '.join(remaining | nominated))\\r\\n current_score = smf.ols(formula, data).fit().rsquared_adj\\r\\n print(\\\"adj_r2 if all variables included: %f\\\" %current_score)\\r\\n best_new_score = current_score\\r\\n while remaining and current_score == best_new_score:\\r\\n scores_with_candidates = []\\r\\n for candidate in remaining:\\r\\n formula = \\\"{} ~ {} + 1\\\".format(response,\\r\\n ' + '.join(remaining^{candidate}|nominated))\\r\\n score = smf.ols(formula, data).fit().rsquared_adj\\r\\n scores_with_candidates.append((score, candidate))\\r\\n scores_with_candidates.sort()\\r\\n best_new_score, best_candidate = scores_with_candidates.pop()\\r\\n if current_score < best_new_score:\\r\\n print(\\\"deleting %s increases adj_r2 from %f to %f\\\" %(best_candidate, current_score, best_new_score))\\r\\n remaining.remove(best_candidate)\\r\\n current_score = best_new_score\\r\\n formula = \\\"{} ~ {} + 1\\\".format(response,\\r\\n ' + '.join(remaining|nominated))\\r\\n model = smf.ols(formula, data).fit()\\r\\n print(\\\"final model is %s, with adj_r2 of %f\\\" %(formula, model.rsquared_adj))\\r\\n return model\",\n \"def phy_residual(self, x, t, u, v):\\n \\n u_t = torch.autograd.grad(\\n u, t, \\n grad_outputs=torch.ones_like(u),\\n retain_graph=True,\\n create_graph=True\\n )[0]\\n \\n u_x = torch.autograd.grad(\\n u, x, \\n grad_outputs=torch.ones_like(u),\\n retain_graph=True,\\n create_graph=True\\n )[0]\\n \\n u_xx = torch.autograd.grad(\\n u_x, x, \\n grad_outputs=torch.ones_like(u_x),\\n retain_graph=True,\\n create_graph=True\\n )[0]\\n \\n v_t = torch.autograd.grad(\\n v, t, \\n grad_outputs=torch.ones_like(v),\\n retain_graph=True,\\n create_graph=True\\n )[0]\\n \\n v_x = torch.autograd.grad(\\n v, x, \\n grad_outputs=torch.ones_like(v),\\n retain_graph=True,\\n create_graph=True\\n )[0]\\n \\n v_xx = torch.autograd.grad(\\n v_x, x, \\n grad_outputs=torch.ones_like(v_x),\\n retain_graph=True,\\n create_graph=True\\n )[0]\\n \\n f_u = u_t + 0.5*v_xx + (u**2 + v**2)*v\\n f_v = v_t - 0.5*u_xx - (u**2 + v**2)*u \\n return f_u, f_v\",\n \"def diff(t, y):\\n origin = tensor.array\\n tensor.set_array(np.reshape(y, tensor.shape))\\n ans = np.zeros_like(y)\\n self.time = t if not imaginary else None\\n for n in self.term_visitor(use_cache=True):\\n ans += np.reshape(self._single_eom(tensor, n, cache=cache), -1)\\n if self.init_energy is not None:\\n ans -= self.init_energy * y\\n ans /= self.coefficient()\\n tensor.set_array(origin)\\n return ans\",\n \"def _r_inv(self):\\n # [output_dim, output_dim]\\n return tf.linalg.cholesky_solve(\\n self._chol_obs_covariance,\\n tf.eye(self.emission.output_dim, dtype=self._chol_obs_covariance.dtype),\\n )\",\n \"def matrix_subtraction(A, B):\\n # Section 1: Ensure dimensions are valid for matrix subtraction\\n rowsA = len(A); colsA = len(A[0])\\n rowsB = len(B); colsB = len(B[0])\\n if rowsA != rowsB or colsA != colsB:\\n raise ArithmeticError('Matrices are NOT the same size.')\\n\\n # Section 2: Create a new matrix for the matrix difference\\n C = zeros_matrix(rowsA, colsB)\\n\\n # Section 3: Perform element by element subtraction\\n for i in range(rowsA):\\n for j in range(colsB):\\n C[i][j] = A[i][j] - B[i][j]\\n\\n return C\",\n \"def equation(self):\\n mat = np.zeros((self.nunknowns, self.model.neq))\\n rhs = np.zeros(self.nunknowns) # Needs to be initialized to zero\\n rhs[0:self.nlayers - 1] = 0.0\\n rhs[self.nlayers - 1] = self.Qc\\n ieq = 0\\n for e in self.model.elementlist:\\n if e.nunknowns > 0:\\n head = e.potinflayers(self.xc, self.yc, self.layers) / self.aq.Tcol[self.layers, :]\\n mat[0:self.nlayers - 1, ieq:ieq + e.nunknowns] = head[:-1] - head[1:]\\n if e == self:\\n for i in range(self.nlayers - 1):\\n mat[i, ieq + i] -= self.resfac[i]\\n mat[i, ieq + i + 1] += self.resfac[i + 1]\\n mat[self.nlayers - 1, ieq:ieq + self.nlayers] = 1.0\\n ieq += e.nunknowns\\n else:\\n head = e.potentiallayers(self.xc, self.yc, self.layers) / self.aq.T[self.layers]\\n rhs[0:self.nlayers - 1] -= head[:-1] - head[1:]\\n return mat, rhs\",\n \"def fR(a, b, c, N, S, I, R, vital=False, vaccine=False, combined=False):\\n\\n if vital:\\n temp = b*I - c*R - d*R\\n elif vaccine:\\n R = N - S - I\\n temp = b*I - c*R + f*S\\n elif combined:\\n temp = b*I - c*R - d*R + f*S\\n else:\\n temp = 0\\n\\n return temp\",\n \"def decompose_to_LU(a):\\n # create emtpy LU-matrix\\n lu_matrix = np.matrix(np.zeros([a.shape[0], a.shape[1]]))\\n n = a.shape[0]\\n\\n for k in range(n):\\n # calculate all residual k-row elements\\n for j in range(k, n):\\n lu_matrix[k, j] = a[k, j] - lu_matrix[k, :k] * lu_matrix[:k, j]\\n # calculate all residual k-column elemetns\\n for i in range(k + 1, n):\\n lu_matrix[i, k] = (a[i, k] - lu_matrix[i, : k] * lu_matrix[: k, k]) / lu_matrix[k, k]\\n\\n return lu_matrix\",\n \"def diff(self, x0, x1):\\n nq, nv, nx = self.model.nq, self.model.nv, self.nx\\n assert (x0.shape == (nx, ) and x1.shape == (nx, ))\\n q0 = x0[:nq]\\n q1 = x1[:nq]\\n v0 = x0[-nv:]\\n v1 = x1[-nv:]\\n dq = pinocchio.difference(self.model, a2m(q0), a2m(q1))\\n return np.concatenate([dq.flat, v1 - v0])\",\n \"def inverse_rigid_trans(Tr): \\n inv_Tr = np.zeros_like(Tr) # 3x4\\n inv_Tr[0:3,0:3] = np.transpose(Tr[0:3,0:3])\\n inv_Tr[0:3,3] = np.dot(-np.transpose(Tr[0:3,0:3]), Tr[0:3,3])\\n return inv_Tr\",\n \"def subtract_3_rasters(\\r\\n raster_path_a, raster_path_b, raster_path_c, target_path):\\r\\n a_nodata = pygeoprocessing.get_raster_info(raster_path_a)['nodata'][0]\\r\\n b_nodata = pygeoprocessing.get_raster_info(raster_path_b)['nodata'][0]\\r\\n c_nodata = pygeoprocessing.get_raster_info(raster_path_c)['nodata'][0]\\r\\n target_nodata = -9999\\r\\n\\r\\n def sub_op(a_array, b_array, c_array):\\r\\n \\\"\\\"\\\"Sub a-b-c as arrays.\\\"\\\"\\\"\\r\\n result = numpy.empty(a_array.shape, dtype=numpy.float32)\\r\\n result[:] = target_nodata\\r\\n valid_mask = (\\r\\n (a_array != a_nodata) &\\r\\n (b_array != b_nodata) &\\r\\n (c_array != c_nodata))\\r\\n result[valid_mask] = (\\r\\n a_array[valid_mask] - b_array[valid_mask] - c_array[valid_mask])\\r\\n return result\\r\\n\\r\\n pygeoprocessing.raster_calculator(\\r\\n [(raster_path_a, 1), (raster_path_b, 1), (raster_path_c, 1)],\\r\\n sub_op, target_path, gdal.GDT_Float32, target_nodata)\",\n \"def __sub__(self, other):\\n #\\n # TODO - your code here\\n #\\n matrix_sub = []\\n for i in range(self.h):\\n row = []\\n for j in range(self.w):\\n row.append(self.g[i][j] - other.g[i][j])\\n matrix_sub.append(row)\\n return Matrix(matrix_sub)\\n # TODO - your code here\",\n \"def rhs(x, t):\\n\\n return - np.sin(np.pi * x) * (np.sin(t) - 1 * np.pi ** 2 * np.cos(t))\",\n \"def __sub__(self, tc):\\n tc = TwosComplement(tc)._negative()\\n return self.__add__(tc)\",\n \"def residualNorm2(self):\\n r2 = (np.dot(self.x,np.dot(self.AtA,self.x)-2.0*self.Atb) + self.btb)*self.scale\\n if self.regularizationLambda > 0:\\n r2 -= self.regularizationLambda*np.dot(self.x,self.x)\\n return r2\",\n \"def subtract_2_rasters(\\r\\n raster_path_a, raster_path_b, target_path):\\r\\n a_nodata = pygeoprocessing.get_raster_info(raster_path_a)['nodata'][0]\\r\\n b_nodata = pygeoprocessing.get_raster_info(raster_path_b)['nodata'][0]\\r\\n target_nodata = -9999\\r\\n\\r\\n def sub_op(a_array, b_array):\\r\\n \\\"\\\"\\\"Sub a-b-c as arrays.\\\"\\\"\\\"\\r\\n result = numpy.empty(a_array.shape, dtype=numpy.float32)\\r\\n result[:] = target_nodata\\r\\n valid_mask = (\\r\\n (a_array != a_nodata) &\\r\\n (b_array != b_nodata))\\r\\n result[valid_mask] = (\\r\\n a_array[valid_mask] - b_array[valid_mask])\\r\\n return result\\r\\n\\r\\n pygeoprocessing.raster_calculator(\\r\\n [(raster_path_a, 1), (raster_path_b, 1)],\\r\\n sub_op, target_path, gdal.GDT_Float32, target_nodata)\",\n \"def _residual(self, x):\\n h = x\\n h = self.b1(h)\\n h = self.activation(h)\\n h = self._upsample_conv(h, self.c1) if self.upsample else self.c1(h)\\n h = self.b2(h)\\n h = self.activation(h)\\n h = self.c2(h)\\n\\n return h\",\n \"def subtract(self, other):\\n return self.add(other.neg())\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.597161","0.57674617","0.5653328","0.5619851","0.5587978","0.55241704","0.5420099","0.53882575","0.5380549","0.5333551","0.53246033","0.5320975","0.5320975","0.5320975","0.53125983","0.5295911","0.5267064","0.52474755","0.5243254","0.52172714","0.5211965","0.5206899","0.5205593","0.5196085","0.5125471","0.5116663","0.5112887","0.5112187","0.5064571","0.5053463","0.50266635","0.50240993","0.50240993","0.5020709","0.50152016","0.50064903","0.49901244","0.49897936","0.4979359","0.49592188","0.4959075","0.49535757","0.49475628","0.49427047","0.49411556","0.49340194","0.49080732","0.49070495","0.48891056","0.48824632","0.4880652","0.48764262","0.48755375","0.48728666","0.48728615","0.48414457","0.48226297","0.4817703","0.48174015","0.48147163","0.48079318","0.48075733","0.4799214","0.47983077","0.47948945","0.47729647","0.47716698","0.47675237","0.47665334","0.47639596","0.47574762","0.47542375","0.47488376","0.4745309","0.47421363","0.47349036","0.4734487","0.47304064","0.47275308","0.47228745","0.47216126","0.47210032","0.47209433","0.47186583","0.47177118","0.4712371","0.47001544","0.46921167","0.46916115","0.4684374","0.4683701","0.46808085","0.46772495","0.4674932","0.46712393","0.4666535","0.46641973","0.46615475","0.46614563","0.46556315"],"string":"[\n \"0.597161\",\n \"0.57674617\",\n \"0.5653328\",\n \"0.5619851\",\n \"0.5587978\",\n \"0.55241704\",\n \"0.5420099\",\n \"0.53882575\",\n \"0.5380549\",\n \"0.5333551\",\n \"0.53246033\",\n \"0.5320975\",\n \"0.5320975\",\n \"0.5320975\",\n \"0.53125983\",\n \"0.5295911\",\n \"0.5267064\",\n \"0.52474755\",\n \"0.5243254\",\n \"0.52172714\",\n \"0.5211965\",\n \"0.5206899\",\n \"0.5205593\",\n \"0.5196085\",\n \"0.5125471\",\n \"0.5116663\",\n \"0.5112887\",\n \"0.5112187\",\n \"0.5064571\",\n \"0.5053463\",\n \"0.50266635\",\n \"0.50240993\",\n \"0.50240993\",\n \"0.5020709\",\n \"0.50152016\",\n \"0.50064903\",\n \"0.49901244\",\n \"0.49897936\",\n \"0.4979359\",\n \"0.49592188\",\n \"0.4959075\",\n \"0.49535757\",\n \"0.49475628\",\n \"0.49427047\",\n \"0.49411556\",\n \"0.49340194\",\n \"0.49080732\",\n \"0.49070495\",\n \"0.48891056\",\n \"0.48824632\",\n \"0.4880652\",\n \"0.48764262\",\n \"0.48755375\",\n \"0.48728666\",\n \"0.48728615\",\n \"0.48414457\",\n \"0.48226297\",\n \"0.4817703\",\n \"0.48174015\",\n \"0.48147163\",\n \"0.48079318\",\n \"0.48075733\",\n \"0.4799214\",\n \"0.47983077\",\n \"0.47948945\",\n \"0.47729647\",\n \"0.47716698\",\n \"0.47675237\",\n \"0.47665334\",\n \"0.47639596\",\n \"0.47574762\",\n \"0.47542375\",\n \"0.47488376\",\n \"0.4745309\",\n \"0.47421363\",\n \"0.47349036\",\n \"0.4734487\",\n \"0.47304064\",\n \"0.47275308\",\n \"0.47228745\",\n \"0.47216126\",\n \"0.47210032\",\n \"0.47209433\",\n \"0.47186583\",\n \"0.47177118\",\n \"0.4712371\",\n \"0.47001544\",\n \"0.46921167\",\n \"0.46916115\",\n \"0.4684374\",\n \"0.4683701\",\n \"0.46808085\",\n \"0.46772495\",\n \"0.4674932\",\n \"0.46712393\",\n \"0.4666535\",\n \"0.46641973\",\n \"0.46615475\",\n \"0.46614563\",\n \"0.46556315\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.59686255"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":88294,"cells":{"query":{"kind":"string","value":"Implementation of the SysRem algorithm. SysRem was described by"},"document":{"kind":"string","value":"def __init__(self, obs, sigs, ms_obs=True, ms_feat=False, a0=None, ms_warn=True):\n # Convert into list of arrays if 2d array\n if isinstance(obs, np.ndarray) and (obs.ndim == 2):\n obs = [obs[::,i] for i in range(obs.shape[1])]\n if isinstance(sigs, np.ndarray) and (sigs.ndim == 2):\n sigs = [sigs[::,i] for i in range(sigs.shape[1])]\n \n if (ms_obs or ms_feat) and ms_warn:\n PE.warn(PE.PyAValError(f\"Be aware: Mean will be subtracted from the data (ms_feat={ms_feat}, ms_obs={ms_obs}).\", \\\n where=\"SYSREM\", \\\n solution=[\"Use ms_warn=False to suppress this warning or change ms_feat/obs.\", \\\n \"Initial data can be viewed using the attribute rijs[0].\"]))\n \n self.rij, self.sm, self.a0 = sysrem_data_prepare(obs, sigs, ms_obs=ms_obs, ms_feat=ms_feat)\n self.sm2 = self.sm**2\n if a0 is not None:\n self.a0 = a0\n \n self.nds = len(obs)\n self.nobs = len(obs[0])\n \n self.rijs = [self.rij]\n self.ac = [(None,None)]"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def rem(a, b):\n return a % b","def rem(self, a, b):\n raise NotImplementedError","def rem(self, a, b):\n return a % b","def rem(self, a, b):\n return a % b","def fn(mask, rem):\n if not mask: return 0 # done \n ans = inf \n for i, x in enumerate(tasks): \n if mask & (1<<i): \n if x <= rem: ans = min(ans, fn(mask ^ (1<<i), rem - x))\n else: ans = min(ans, 1 + fn(mask ^ (1<<i), sessionTime - x))\n return ans","def SUB():\n global pointer, memory, registers\n registers[memory[pointer + 0x02]] -= memory[pointer + 0x01]\n pointer += 0x03","def chinese_remainder_theorem(bs, ms):\n\n m = product(ms)\n sol_sum = 0\n\n for i in range(len(ms)):\n mi, bi = ms[i], bs[i]\n ci = m // mi\n # partial equation: ci*xi = bi mod mi\n _, alpha, _ = extended_euclid(ci, mi)\n xi = alpha * bi\n sol_sum += xi * ci\n\n return sol_sum % m","def sysrem_update_rij(rij, a, c):\n return rij - np.outer(a,c)","def substraction_nocarry(a,b): #Beware, it is not commuative\n result = bytearray()\n carry = 0\n for byte1, byte2 in zip(a,b):\n byte_res = (byte1-byte2-carry)\n #print(byte_res)\n if byte_res < 0:\n carry = 1\n result.append(byte_res%256)\n else:\n carry = 0\n result.append(byte_res)\n return(result)","def _shift(self, s):\n start_pos = self._relative_head_pos()\n l = 1 + 2 * self.shift_length\n shift = int(s * l - 0.000000001) - int(l / 2)\n for s in range(abs(shift)):\n if shift > 0:\n if self.head_pos == len(self.memory) - 1 and len(self.memory) < self.max_memory:\n self.memory = np.concatenate((self.memory, np.zeros((1, self.memory_unit_size))), 0)\n self.head_pos += 1\n else:\n self.head_pos = (self.head_pos + 1) % self.max_memory\n else:\n if self.head_pos == 0 and len(self.memory) < self.max_memory:\n self.memory = np.concatenate((np.zeros((1, self.memory_unit_size)), self.memory), 0)\n self.left_expands += 1\n else:\n self.head_pos = (self.head_pos - 1) % self.max_memory\n if self.history is not None:\n self.history[\"loc\"][-1].append((start_pos, 0.1))\n return np.sign(shift)","def solution2(inp):\n inp = get_lines(inp)\n notes = inp[1].split(\",\")\n\n offsets = {}\n for i, bus in enumerate(notes):\n if bus == 'x':\n continue\n bus = int(bus)\n offsets[bus] = i\n buses = set(offsets)\n old_buses = buses.copy()\n\n def search(bus, offset, t):\n if (t + offset) % bus == 0:\n buses.remove(bus)\n if len(buses) == 0:\n return True\n new_bus = max(buses)\n return search(new_bus, offsets[new_bus], t)\n return False\n\n cbus = max(buses)\n max_bus = cbus\n s = 100_000_000_000_000\n s = 0\n s = s - s % cbus - offsets[cbus]\n delta = cbus\n stack = buses.copy()\n stack.remove(cbus)\n sec_max = max(stack)\n while not search(max_bus, offsets[max_bus], offsets[max_bus]):\n buses = old_buses.copy()\n s += delta\n if (s + offsets[sec_max]) % sec_max == 0:\n if len(stack) != 0:\n cbus = max(stack)\n stack.remove(cbus)\n if len(stack) != 0:\n sec_max = max(stack)\n else:\n return s\n delta *= cbus\n\n return s - offsets[max(offsets)]","def _diff(rankx, ranky):\n shift = int64(32)\n mask = int64((1 << 32) - 1)\n scale = float64(mask + 1)\n hi = ranky >> shift\n hi -= rankx >> shift\n lo = ranky & mask\n lo -= rankx & mask\n out = scale * hi\n out += lo\n return out","def __LFSR(self, key: bytearray) -> int:\n x = key.pop()\n out = x ^ key[254] ^ key[244]\n key.append(out)\n return out","def chinese_remainder(ms: List[int], _as: List[int]) -> int:\n\n if SHOW_WORKING: print(f\"chinese_remainder(ms, _as) = chinese_remainder({ms}, {_as})\")\n\n for m in ms:\n if m <= 0:\n raise ValueError(\"All ms must be positive integers\")\n \n if not pairwise_coprime(*ms):\n raise ValueError(\"ms must be pairwise coprime\")\n\n if len(ms) != len(_as):\n raise ValueError(\"Must supply same number of _as as ms\")\n\n r: int = len(ms)\n\n if SHOW_WORKING:\n print(f\"\\tFinding a solution to the following {r} congruences:\")\n for i in range(r):\n print(f\"\\t\\tx ≡ {_as[i]}\\t(mod {ms[i]})\")\n \n M = 1\n for i in range(r):\n M *= ms[i]\n \n if SHOW_WORKING: print(f\"\\tLet M = m1 * ... * m{r} = {ms[0]} * ... * {ms[r - 1]} = {M}\")\n\n Mis = []\n yis = []\n if SHOW_WORKING: print(f\"\\tWe must find each Mi = M / mi and yi = modinverse(Mi, mi)\")\n for i in range(r):\n Mis.append(int(M / ms[i]))\n if SHOW_WORKING: print(f\"\\t\\tM{i} = M / m{i} = {M} / {ms[i]} = {Mis[i]}\")\n\n if SHOW_WORKING: print(f\"\\t\\ty{i} = modinverse(M{i}, m{i}) = modinverse({Mis[i]}, {ms[i]}) = modinverse({Mis[i] % ms[i]}, {ms[i]})\")\n yis.append(modinverse(Mis[i] % ms[i], ms[i]))\n\n if SHOW_WORKING: print(f\"\\tSo Mis = {Mis} and yis = {yis}\")\n if SHOW_WORKING: print(f\"\\tCRT -> x ≡ a1 * M1 * y1 + ... + ar * Mr * yr)\\t(mod M)\")\n _sum: int = 0\n for i in range(r):\n _sum += _as[i] * Mis[i] * yis[i]\n\n print(f\"\\tThis is x ≡ {_sum} % {M} = {_sum % M}\")\n return _sum % M","def __rsub__(self, left):\n return left - self.value()","def zzx_rem(f, g):\n return zzx_div(f, g)[1]","def solveProblem048():\n # Trivial to brute force with modern hardware.\n sd = 0\n for i in range(1,1000+1):\n sd += i**i\n s = str(sd)\n s = s[-10:]\n print(s)","def extended_euclidean_algorithm(a, b):\n s, old_s = 0, 1\n t, old_t = 1, 0\n r, old_r = b, a\n\n while r != 0:\n quotient = old_r // r\n old_r, r = r, old_r - quotient * r\n old_s, s = s, old_s - quotient * s\n old_t, t = t, old_t - quotient * t\n\n return old_r, old_s, old_t","def reverse_difference():","def mod(dividends, divisor):\n\n output = np.zeros(len(dividends))\n\n for i in tqdm(range(len(dividends))): \n output[i] = dividends[i]\n done=False\n while (not done):\n if output[i] >= divisor:\n output[i] -= divisor\n elif output[i] < 0.:\n output[i] += divisor\n else:\n done=True\n\n return output","def process(v,s):\n i = len(v)\n l = i//2 -1\n if i & 0x1: # odd\n res = 1\n r = l + 2\n else:\n res = 0\n r = l + 1\n while l >=0 and r < len(s) and s[l] == s[r]: \n l -= 1\n r += 1\n res += 2\n return res","def symmetric_diff(a,b):\n return a ^ b","def nCWRk(n, r):\n val = 1\n for i in range(1, r+1):\n val *= n + r - i\n val //= i\n return val","def sol(n):\n p = 1\n res = 0\n \n while n:\n p*=5\n if n&1:\n res+=p\n n=n>>1\n return res%1000000007","def rem(f, g):\n lev, dom, per, F, G = f.unify(g)\n return per(dmp_rem(F, G, lev, dom))","def dec(self, params):\n reg = params[0]\n if self.reg_dct[reg] == 0:\n self.reg_dct[reg] = (2 ** 32) - 1\n else:\n self.reg_dct[reg] -= 1","def gc(i):\n return i ^ (i >> 1)","def ohms(self):\n # Rwb = Rwiper + Rtotal * (counts / 256)\n # Rwa = Rwiper + Rtotal * ((256 - counts) / 256)\n g = 0\n rtotal=0.0\n reach=[]\n for chan in self.get_channel_list(self.nchans):\n self.rwa[chan] = float( 256 - self.vals[chan] ) / 256.0\n self.rwb[chan] = float( self.vals[chan] ) / 256.0\n self.rwa[chan] *= self.Rtotal\n self.rwb[chan] *= self.Rtotal \n self.rwa[chan] += self.Rwiper\n self.rwb[chan] += self.Rwiper","def decr_circuit_remix_count(self, circuit_id):\n key = ':'.join(\n [CIRCUIT_NMBR_RMX_1, \n str(circuit_id), \n CIRCUIT_NMBR_RMX_2]\n )\n if self.RS.get(key) < 0:\n self.RS.set(key,1)\n self.RS.decr(key)","def dec(reg, registers):\n registers[reg] -= 1\n return 1","def test_set_vx_to_vx_shr(self, cpu):\n for x in range(0x0, 0xF):\n for v in range(0x0, 0xFF):\n cpu.V_register[x] = v\n cpu.opcode = 0x8006 | (x << 8)\n cpu.set_vx_to_vx_shr()\n if v & 0x1 == 1:\n assert(cpu.V_register[0xF] == 1)\n else:\n assert(cpu.V_register[0xF] == 0)\n assert(cpu.V_register[x] == v/2)","def SRR():\n\tglobal pointer, memory, registers\n\tregisters[memory[pointer + 0x02]] = registers[memory[pointer + 0x02]] >> memory[pointer + 0x01]\n\tpointer += 0x03","def subtract(self,*datas):\n\t\tdatas = list(datas)\n\t\tresult = datas.pop(0)\n\t\tfor data in datas:\n\t\t\tresult -= data\n\t\treturn result","def modinverse(a: int, m: int) -> int:\n if SHOW_WORKING: print(f\"modinverse(a, m) = modinverse({a}, {m})\")\n if SHOW_WORKING: print(f\"\\tWe want to find some x & y such that {a} * x + {m} * y = 1\")\n\n if a < 0 or m <= 0:\n raise ValueError(\"a must be non-negative and m must be positive\")\n\n if SHOW_WORKING: print(f\"Find gcd(a, b) = gcd({a}, {m})\")\n if m > a:\n if SHOW_WORKING: print(f\"\\tb > a. Set r1[0] := m = {m} and r2[0] := a = {a} so that r1[0] > r2[0\")\n r1s, r2s = [m], [a]\n else:\n if SHOW_WORKING: print(f\"\\ta >= b. Set r1[0] := a = {a} and r2[0] := m = {m} so that r1[0] >= r2[0]\")\n r1s, r2s = [a], [m] \n\n if SHOW_WORKING: print(f\"\\tProceeding with algorithm until r2 hits 0. gcd({a}, {m}) will be the ending r1 value:\")\n qs = []\n i = 0\n while r2s[-1] != 0:\n i += 1\n\n if SHOW_WORKING: print(f\"\\t\\tSet q[{i - 1}] := floor(r1[{i - 1}] / r2[{i - 1}]) = floor({r1s[i - 1]} / {r2s[i - 1]}) = floor({round(r1s[i - 1] / r2s[i - 1], 2)}) = {r1s[i - 1] // r2s[i - 1]}\")\n qs.append(r1s[i - 1] // r2s[i - 1])\n\n if SHOW_WORKING: print(f\"\\t\\tSet (r1[{i}], r2[{i}]) := (r2[{i - 1}], r1[{i - 1}] - r2[{i - 1}] * q[{i - 1}]) = ({r2s[i - 1]}, {r1s[i - 1]} - {r2s[i - 1]} * {qs[i - 1]}) = ({r2s[i - 1]}, {r1s[i - 1] - r2s[i - 1] * qs[i - 1]})\")\n r1, r2 = r2s[i - 1], r1s[i - 1] - r2s[i - 1] * qs[i - 1]\n r1s.append(r1)\n r2s.append(r2)\n\n if SHOW_WORKING: print(\"\\t\\t -\")\n \n if SHOW_WORKING: print(f\"\\tStopping condition hit (r2[{i}] = 0). Result of gcd({a}, {m}) is r1[{i}] = {r1s[-1]}\")\n\n if r1s[-1] != 1:\n if SHOW_WORKING: print(f\"\\t{a} has no inverse modulo {m} because gcd({a}, {m}) = {r1s[-1]} != 1 (they must be coprime)\")\n return None\n\n if SHOW_WORKING: print(f\"\\n\\tBegin working backwards:\")\n\n def getnestedexpressionstr(leftstr: str, nestedr1r2q: List[Union[int, List[int]]], rightstr: str) -> str:\n if SHOW_WORKING: print(f\"\\t\\tgetnestedexpressionstr('{leftstr}', {nestedr1r2q}, '{rightstr}')\")\n r1: int = nestedr1r2q[0]\n r2: Union[int, List[int]] = nestedr1r2q[1]\n q: int = nestedr1r2q[2]\n if SHOW_WORKING: print(f\"\\t\\t\\tr1 = {r1}, r2 = {r2}, q = {q}\")\n\n if isinstance(r2, int):\n return f\"{leftstr}{r1} - {r2} * {q}{rightstr}\"\n \n if leftstr == rightstr == '':\n return getnestedexpressionstr(f\"{r1} - (\", r2, f\") * {q}\")\n\n return getnestedexpressionstr(f\"{leftstr}{r1} - (\", r2, f\") * {q}{rightstr}\")\n\n def backtrack(index: int, nestedr1r2q: List[Union[int, List[int]]]) -> List[Union[int, List[int]]]:\n \"\"\"Provided an index and an ordered list representing the r1, r2, and q values of the equation\n r1 - r2 * q, this function returns another list where r2 has been broken down to the parts of \n its equation on the previous indexed equation, e.g. if the 3rd and 4th equations from the GCD \n algorithm are:\n (3): r1 - r2 * q2 = 4 - 4 * 1\n (4): r1 - r2 * q2 = 3 - 1 * 3\n then: \n backtrack(4, [3, 1, 3]) -> [3, [4, 3, 1], 3].\n \n This also works when the middle element of the list (the r2 element) is given as a list of parts,\n e.g., if we follow the previous example where additionally equation 2 is:\n (2): r1 - r2 * q2 = 11 - 4 * 2\n then:\n backtrack(3, [3, [4, 3, 1], 3]) -> [3, [4, [11, 4, 2], 1], 3].\"\"\"\n \n if SHOW_WORKING: print(f\"\\t\\tbacktrack({index}, {nestedr1r2q})\")\n\n if index <= 0:\n raise ValueError(\"Can't backtrack from here, please supply a positive index\")\n \n r1: int = nestedr1r2q[0]\n r2: Union[int, List[int]] = nestedr1r2q[1]\n q: int = nestedr1r2q[2]\n\n if index == 1:\n return [r1, [r1s[0], r2s[0], qs[0]], q]\n\n return [r1, backtrack(index - 1, [r1s[index - 1], r2s[index - 1], qs[index - 1]]), q]\n\n if i - 2 > 0:\n expression = backtrack(i - 2, [r1s[i - 2], r2s[i - 2], qs[i - 2]])\n\n nestedexpressionstr: str = getnestedexpressionstr('', expression, '')\n nestedexpressionstr = nestedexpressionstr.replace(str(a), 'a').replace(str(m), 'm')\n\n if SHOW_WORKING: print(f\"\\t\\t{nestedexpressionstr}\")\n if SHOW_WORKING: print(f\"\\t\\t{sympy.simplify(nestedexpressionstr)}\")\n\n x, y = sympy.core.numbers.igcdex(a, m)[:2]\n if SHOW_WORKING: print(f\"\\ta * x + m * y = 1 -> {a} * {x} + {m} * {y} = 1\")\n\n if SHOW_WORKING: print(f\"\\tmodinverse({a}, {m}) = {x}\\t(mod {m}) = {x % m}\")\n \n return x % m","def resta(x, y):\n return x - y","def _cmplx_rsub_ ( s , o ) :\n return o - complex ( s )","def soustraction(a,b):\n bina = [int(x) for x in bin(a)[2:]]\n binb = [int(x) for x in bin(b)[2:]]\n while len(bina) >= len(binb):\n binb = [0]+binb\n while len(bina) < len(binb)-1:\n bina = [0]+bina\n bina.reverse()\n binb.reverse()\n n = len(bina)+len(binb)\n na = len(bina)\n q = QuantumRegister(n+1, 'q')\n circ = QuantumCircuit(q)\n for i in range(na):\n if bina[i]:\n circ.x(q[i])\n for i in range(len(binb)):\n if binb[i]:\n circ.x(q[na+i])\n sub(circ, q, [q[i] for i in range(len(bina))], [q[i+na] for i in range(len(binb)-1)], q[n], q[na+len(binb)-1])\n circ_m = measure(circ, q, [i for i in range(na, n)])\n return circ_m","def softReset(self): #good\r\n\t\tcurrentVal = self.dec2BinList(self.read(0x6b))\r\n\t\tcurrentVal[7] = 1\r\n\t\tcurrentVal = self.binList2Dec(currentVal)\r\n\t\tself.write(0x6b, currentVal)","def pseudo_r2(self):\n y_reg = self.time_series(len(self.data))\n SSres = ((self.data - y_reg)**2).sum()\n SStot = ((self.data - self.data.mean())**2).sum()\n return 1 - SSres/SStot","def modReduce(self, x):\n\n assert 0 <= x < pow(self.mod, 2), 'out of range.'\n q = (x * self.u) >> (2 * self.M_bit)\n r = x - q * self.mod\n while r >= self.mod:\n r -= self.mod\n return r","def sweep_relay():","def srlatch(_signal,reset_th, set_th):\n s = [_signal > set_th][0]\n r = [_signal < reset_th][0]\n L = len(_signal)\n q = np.zeros(L)\n # qrev = np.zeros(L)\n for i in np.arange(L):\n if ((s[i] == 0) & (r[i] == 0) & (i > 0)):\n q[i] = q[i - 1]\n elif ((s[i] == 0) & (r[i] == 1)):\n q[i] = 0\n elif ((s[i] == 1) & (r[i] == 0)):\n q[i] = 1\n else:\n q[i] == -1 # error\n return np.array(q)","def __rdivmod__(self, other):\r\n return NotImplemented","def __rdivmod__(self, other):\r\n return NotImplemented","def s_neg(self):\n running_total = 0\n for i in range(self.prob.num):\n if self.alphas[i] > 1e-5 > self.prob.C - self.deltas[i] and self.prob.Y[i] == -1:\n ayxx = 0\n for j in range(self.prob.num):\n ayxx += self.alphas[j] * self.prob.Y[j] * self.prob.xkernel(self.prob.X[j], self.prob.X[i])\n running_total += -1 - ayxx\n return running_total","def relax_checker():\n checker = 2\n global v, vNew, n\n for check in range(0,2):\n for x in range(1,n):\n for y in range(1,n):\n if (x*(n+1) + y) % 2 == check:\n v[x,y] = (v[x-1][y] + v[x+1][y] + v[x][y-1] + v[x][y+1])*0.25","def removedrift(self,deg=10):\n\n # First remove a secular zeropoint drift over the entire scanset. Fit just the\n # scans but remove from cal stares as well.\n x=self.t\n scanind=self.getscanind()\n for k in range(self.nf):\n y=self.spec[:,k]\n if not np.any(np.isnan(y)):\n p=np.polyfit(x[scanind],y[scanind],deg=deg)\n # Don't remove mean \n p[-1]=0\n self.spec[:,k]=self.spec[:,k]-np.poly1d(p)(x)\n\n return\n \n for k in range(self.nscan):\n # Each scan\n ind=self.getscanind(k)\n\n for j,val in enumerate(np.unique(self.za[ind])):\n # Find contiguous blocks \n doind=ind[np.where(self.za[ind]==val)]\n dx=doind-np.roll(doind,1)\n startind=np.where(dx!=1)[0]\n endind=np.append(startind[1:],dx.size)\n\n for l,val in enumerate(startind):\n # For each contiguous block\n s=doind[startind[l]]\n e=doind[endind[l]-1]+1\n x=self.t[s:e]\n x=x-x.mean()\n y=self.spec[s:e,:]\n\n for m in range(self.nf):\n # For each channel\n yy=y[:,m];\n if not np.any(np.isnan(yy)):\n p=np.polyfit(x,yy,deg=deg); # Fit p3\n z=np.poly1d(p)\n yy=yy-z(x)\n self.spec[s:e,m]=yy # replace data","def dkrodsw(self, sw):\n kro0, sor, swc, no = self.kro0, self.sor, self.swc, self.no\n res = np.zeros_like(sw)\n cond1 = np.logical_and(swc <= sw, sw <= 1 - sor)\n res[cond1] = -no * kro0 / (1 - sor - swc) * ((1 - sw[cond1] - sor) / (1 - sor - swc)) ** (no - 1)\n cond2 = np.logical_and(0.0 < sw, sw < swc)\n res[cond2] = (kro0 - 1) / swc\n res[sw > 1 - sor] = 0.0 \n res[sw <= 0.0] = 0.0\n return res","def reciprocal(self):\r\n s, e = self.share\r\n s = 0.5*(1/s) # TODO: no normalization for 1/s as 1/2<=abs(s)<=1 (s<0 test still needed)\r\n return type(self)((s, 1-e))","def calcRMSE(inflow, demand):\n ssd = 0\n for i in range(len(inflow)):\n ssd += pow((inflow[i]-demand[i]),2)\n rmse = np.sqrt(ssd/len(inflow))\n return rmse","def sub(x, y):\n\n z = [0 for i in range(len(x))]\n for i in range(len(x)):\n z[i] = z[i] + x[i]\n if (i < len(y)):\n z[i] -= y[i]\n if (z[i] < 0):\n z[i] += 10\n z[i + 1] -= 1\n while (len(z) > 1 and z[len(z) - 1] == 0):\n z.pop()\n return z","def remove_cycles_redund(R, tol=1e-12, verbose=True):\n zero_rays = np.where(np.count_nonzero(R, axis=0) == 0)[0]\n for ray_ind in zero_rays:\n R = np.delete(R, ray_ind, axis=1)\n cycle_rays = np.zeros((R.shape[0], 0))\n A_eq, b_eq, c, x0 = setup_cycle_LP(independent_rows_qr(normalize_columns(np.array(R, dtype='float'))), only_eq=True)\n\n if verbose:\n mp_print('Constructing basis for LP')\n basis = get_basis_columns_qr(np.asarray(A_eq, dtype='float'))\n b_eq, x0 = perturb_LP(b_eq, x0, A_eq, basis, 1e-10)\n if verbose:\n mp_print('Starting linearity check using LP.')\n cycle_present, status, cycle_indices = cycle_check_with_output(c, np.asarray(A_eq, dtype='float'), x0, basis)\n\n if status != 0:\n print(\"Cycle check failed, trying normal LP\")\n A_ub, b_ub, A_eq, b_eq, c, x0 = setup_cycle_LP(independent_rows_qr(normalize_columns(np.array(R, dtype='float'))))\n res = linprog(c, A_ub, b_ub, A_eq, b_eq, method='revised simplex', options={'tol': 1e-12},\n x0=x0)\n if res.status == 4:\n print(\"Numerical difficulties with revised simplex, trying interior point method instead\")\n res = linprog(c, A_ub, b_ub, A_eq, b_eq, method='interior-point', options={'tol': 1e-12})\n\n cycle_present = True if np.max(res.x) > 90 else False\n if cycle_present:\n cycle_indices = np.where(res.x > 90)[0]\n if np.any(np.isnan(res.x)):\n raise Exception('Remove cycles did not work, because LP-solver had issues. Try to solve this.')\n\n # if the objective is unbounded, there is a cycle that sums to zero\n while cycle_present:\n # Find minimal cycle\n met = -1\n counter = 0\n while met < 0:\n cycle_ind = cycle_indices[counter]\n met = get_remove_metabolite_redund(R, cycle_ind)\n counter = counter + 1\n\n cycle_rays = np.append(cycle_rays, R[:, cycle_ind][:, np.newaxis], axis=1)\n R = cancel_with_cycle_redund(R, met, cycle_ind)\n\n # Do new LP to check if there is still a cycle present.\n A_eq, b_eq, c, x0 = setup_cycle_LP(independent_rows_qr(normalize_columns(np.array(R, dtype='float'))), only_eq=True)\n\n basis = get_basis_columns_qr(np.asarray(A_eq, dtype='float'))\n b_eq, x0 = perturb_LP(b_eq, x0, A_eq, basis, 1e-10)\n if verbose:\n mp_print('Starting linearity check in H_ineq using LP.')\n cycle_present, status, cycle_indices = cycle_check_with_output(c, np.asarray(A_eq, dtype='float'), x0, basis)\n\n if status != 0:\n print(\"Cycle check failed, trying normal LP\")\n A_ub, b_ub, A_eq, b_eq, c, x0 = setup_cycle_LP(\n independent_rows_qr(normalize_columns(np.array(R, dtype='float'))))\n res = linprog(c, A_ub, b_ub, A_eq, b_eq, method='revised simplex', options={'tol': 1e-12},\n x0=x0)\n if res.status == 4:\n print(\"Numerical difficulties with revised simplex, trying interior point method instead\")\n res = linprog(c, A_ub, b_ub, A_eq, b_eq, method='interior-point', options={'tol': 1e-12})\n\n cycle_present = True if np.max(res.x) > 90 else False\n if cycle_present:\n cycle_indices = np.where(res.x > 90)[0]\n if np.any(np.isnan(res.x)):\n raise Exception('Remove cycles did not work, because LP-solver had issues. Try to solve this.')\n\n return R, cycle_rays","def remainder(left_object, right_object):\n result = left_object % right_object\n if left_object < 0 and result > 0 or left_object > 0 and result < 0:\n result = result - right_object\n return result","def subSanity(self):\n\t\tself.sanity -= 1\n\t\tif self.sanity < -10:\n\t\t\tself.sanity = -10","def get_change(m):\n m1 = m % 10\n m2 = m1 % 5\n return m//10 + m1//5 + m2","def zzX_rem(f, g):\n return zzX_div(f, g)[1]","def ramfdec(self):\n return 0","def __call__(self, x: float):\n out = self._n2 - x\n out = np.where(np.abs(out) > 1.0e-12, out, np.NaN)\n out = self._multiplicity / out\n\n return np.sum(out, axis=0) - self._normalization","def __call__(self, x: float):\n out = self._n2 - x\n out = np.where(np.abs(out) > 1.0e-12, out, np.NaN)\n out = self._multiplicity / out\n\n return np.sum(out, axis=0) - self._normalization","def sub64(a,b):\n return(np.subtract(a, b, dtype=np.uint64))","def rshift(val, n):\n return (val % 0x100000000) >> n","def rshift(val, n):\n return (val % 0x100000000) >> n","def modReducem(self, x, M):\n tmp_mod, tmp_M_bit, tmp_u = self.mod, self.M_bit, self.u\n self.mod = M\n self.M_bit = M.bit_length()\n self.u = (1 << (2 * self.M_bit)) // M\n r = self.modReduce(x)\n # return initial modular, bit size of modular and precompute u\n self.mod, self.M_bit, self.u = tmp_mod, tmp_M_bit, tmp_u\n return r","def sub_wo_carry(n1, n2):\n l1 = [int(x)+10 for x in str(n1)]\n l2 = [int(x) for x in str(n2)] \n res1 = map(operator.sub, l1, l2)\n res2 = [str(x)[-1] for x in res1]\n return \"\".join(res2)","def plus_minus(seq):\n items = even_odd_sums(seq)\n res = items[0] - seq[0]*2\n return items[1] - res","def ramfinc(self):\n return 0","def __xor__(self, other):\r\n return self + other - 2 * self * other","def sgn (self):\n even_cycles = filter(lambda x: not (len(x) % 2), self._getcycles())\n return -2 * (len(even_cycles) % 2) + 1","def tickDiff(tStart, tEnd):\n tDiff = tEnd - tStart\n if tDiff < 0:\n tDiff += (1 << 32)\n return tDiff","def __rtruediv__(self, other):\r\n return other * self.reciprocal()","def sturm(P):\n inf = float('inf')\n assert P.isreal()\n A = P\n B = A.prime()\n l1 = [A(-inf)]\n l2 = [A(inf)]\n while B:\n l1.append(B(-inf))\n l2.append(B(inf))\n B, A = -A % B, B\n return Polynomial.sign_changes(l1) - Polynomial.sign_changes(l2)","def subtract_poly(a_remote, b_remote, m):\n # Copy the two arrays\n a = a_remote.copy()\n b = b_remote.copy()\n\n # Make the length the same\n sanitize_arrays(a, b)\n\n result = []\n # Subtract numbers with same index and modulo m them. Add to result\n for x, y in zip(a, b):\n result.append((x - y) % m)\n\n return clear_leading_zeroes(result)","def crt(remainders: np.ndarray, moduli: np.ndarray) -> int: # pragma: no cover\n # Iterate through the system of congruences reducing a pair of congruences into a\n # single one. The answer to the final congruence solves all the congruences.\n a1, m1 = remainders[0], moduli[0]\n for a2, m2 in zip(remainders[1:], moduli[1:]):\n # Use the Extended Euclidean Algorithm to determine: b1*m1 + b2*m2 = gcd(m1, m2).\n d, b1, b2 = EGCD(m1, m2)\n\n if d == 1:\n # The moduli (m1, m2) are coprime\n x = (a1 * b2 * m2) + (a2 * b1 * m1) # Compute x through explicit construction\n m1 = m1 * m2 # The new modulus\n else:\n # The moduli (m1, m2) are not coprime, however if a1 == b2 (mod d)\n # then a unique solution still exists.\n if not (a1 % d) == (a2 % d):\n raise ArithmeticError\n x = ((a1 * b2 * m2) + (a2 * b1 * m1)) // d # Compute x through explicit construction\n m1 = (m1 * m2) // d # The new modulus\n\n a1 = x % m1 # The new equivalent remainder\n\n # At the end of the process x == a1 (mod m1) where a1 and m1 are the new/modified residual\n # and remainder.\n\n return a1","def test_shift_ruptures_no_shift(midday):\n shift_mask, shift_amounts = time.shifts_ruptures(\n midday, midday\n )\n assert not shift_mask.any()\n assert_series_equal(\n shift_amounts,\n pd.Series(0, index=midday.index, dtype='int64'),\n check_names=False\n )","def revise():","def gfmul(x, y):\n ret = 0\n for i in range(64):\n if (x & (1 << i)) != 0:\n ret ^= y << i\n return ret","def mdst(x, odd=True):\n return -1 * numpy.imag(cmdct(x, odd=odd)) * numpy.sqrt(2)","def se(actual,expected):\n return np.power(np.subtract(actual,expected),2)","def minFlipsMonoIncr(self, s: str) -> int:\n\n def __minFMI(s, head: str) -> int:\n if len(s) == 1:\n # last one, no need to flip if head is 0 or s[0] same as head\n if s[0] == head or head == '0':\n return 0\n else:\n return 1\n if s[0] == head:\n # head and s[0] are same, no need to flip as we want minimum flips\n return __minFMI(s[1:], head)\n elif head == '0': # head = 0 and s[0] = 1, has two choices\n # first arg is flip s[0] from 1 to 0, last arg is keep s[0] as 1\n # and head changed to 1\n return min(__minFMI(s[1:], '0') + 1, __minFMI(s[1:], '1'))\n else:\n # head = 1 and s[0] = 0, and must flip s[0] to 1\n return __minFMI(s[1:], '1') + 1\n\n # assume the virtual head is 0\n return __minFMI(s, '0')","def __straightness_correction(self):\n self.elapsed_ticks_left, self.elapsed_ticks_right = \\\n read_enc_ticks(self.initial_ticks_left, self.initial_ticks_right)\n\n print(\"L: \" + str(self.elapsed_ticks_left) + \"\\tR: \" + str(self.elapsed_ticks_right))\n\n # Handle invalid encoder readings\n if self.elapsed_ticks_left < 0 and self.elapsed_ticks_right < 0:\n print(\"Bad encoder reading\")\n return (0, 0)\n if self.elapsed_ticks_left > self.elapsed_ticks_right:\n print(\"Right slow\")\n return (-get_inc(self.speed), get_inc(self.speed))\n elif self.elapsed_ticks_left < self.elapsed_ticks_right:\n print(\"Left slow\")\n return (get_inc(self.speed), -get_inc(self.speed))\n else:\n print(\"Equal\")\n return (0, 0)","def mcd(a, b):\n while(b != 0):\n a,b = b,a%b\n return a","def secross(r=1):\n\n B = sesum(binary([[0,1,0],\n [1,1,1],\n [0,1,0]]),r)\n return B","def get_rm(g):\n return 1 / g","def __divmod__(self, other: 'SInt') -> 'SInt':\r\n if type(self) != type(other):\r\n raise TypeError(\"Wrong type or length for other\")\r\n\r\n size = max(self.nbBytes, other.nbBytes)\r\n Divid, Divis = abs(self).cast(size), abs(other).cast(size)\r\n Quotient = SInt(size)\r\n one = SInt(size)\r\n one.binaire = '0' * (size * 8 - 1) + '1'\r\n Quotient.binaire = '0' * 8 * size\r\n while Divis < Divid or Divis == Divid:\r\n Quotient += one\r\n Divid -= Divis\r\n # Here, the remain is the dividende\r\n Remainer = Divid\r\n if self.signe != other.signe: # Problems occur only with different signs\r\n if Remainer.valeur() == 0: # When abs(a) % abs(b) == 0, there is specific instructions\r\n Quotient = -Quotient\r\n else:\r\n Quotient = -(Quotient + one)\r\n # ---------------------------------------------------------------------------------\r\n Remainer = ((self.cast(2 * size) - (Quotient * other)) << size * 8).cast(size)\r\n # ---------------------------------------------------------------------------------\r\n if self.signe == other.signe == '1':\r\n Remainer = - Remainer\r\n return Quotient, Remainer","def rshift(val: int, n: int) -> int:\n return (val % 0x100000000) >> n","def fn(x, mask):\n ans = size = 0 \n for xx in range(1, 10): \n if not mask & (1 << xx): \n if (x, xx) not in mp or mask & 1 << mp[x, xx]: \n ans += fn(xx, mask^(1<<xx))\n size += 1\n size = 9 - size\n if m <= size <= n: ans += 1\n return ans","def sub_reg_from_reg(self):\n register = self.return_middle_registers(self.opcode)\n if self.registers[register[0]] > self.registers[register[1]]:\n self.registers[0xF] = 1\n self.registers[register[0]] -= self.registers[register[1]]\n else:\n self.registers[0xF] = 0\n self.registers[register[0]] = (\n 256\n + self.registers[register[0]]\n - self.registers[register[1]])\n # the 256 is there to simulate a wrap around of an unsigned integer\n logger.info(\"Subtracted V{} from V{} and got {}\".format(\n register[1],\n register[0],\n self.registers[register[0]]))","def fn(x, m):\n if x == 31: return int(m > 2)\n ans = fn(x+1, m)\n if freq[x] and masks[x]: \n if x == 1: ans *= 2**freq[x]\n elif not m & masks[x]: ans += freq[x] * fn(x+1, m | masks[x])\n return ans % 1_000_000_007","def __invert__(self):\r\n return 1 - self","def GetPhysicalShiftBetweenSlices(Image0, SliceNum0, Image1, SliceNum1):\n \n import numpy as np\n \n mmShift = np.array(Image1.TransformIndexToPhysicalPoint([0,0,SliceNum1])) \\\n - np.array(Image0.TransformIndexToPhysicalPoint([0,0,SliceNum0]))\n \n return mmShift","def bulk_modulus():\n\n return 10000.0","def msub(sp,potential,xv,dt,choice='King62',alpha=1.):\n lt = ltidal(sp,potential,xv,choice)\n if lt<sp.rh: \n dm = alpha * (sp.Mh-sp.M(lt)) * dt/pr.tdyn(potential,xv[0],xv[2])\n dm = max(dm,0.) # avoid negative dm\n if cfg.Mres is not none:\n # Fixed Mres case\n m = max(sp.Mh-dm, cfg.Mres)\n else:\n # Evolve subhaloes down to m/m_{acc} = phi_{res}\n m = max(sp.Mh-dm,cfg.phi_res*sp.Minit) \n else:\n m = sp.Mh\n return m,lt","def fn(mask, k):\n if not mask: return 0 \n ans = inf \n for i in range(n): \n if mask & (1<<i): \n ans = min(ans, (nums1[i]^nums2[k]) + fn(mask^(1<<i), k+1))\n return ans","def subn_reg_from_reg(self):\n register = self.return_middle_registers(self.opcode)\n if self.registers[register[1]] > self.registers[register[0]]:\n self.registers[0xF] = 1\n self.registers[register[0]] = (\n self.registers[register[1]]\n - self.registers[register[0]])\n else:\n self.registers[0xF] = 0\n self.registers[register[0]] = (\n 256\n + self.registers[register[1]]\n - self.registers[register[0]])\n\n logger.info(\"Subtracted V{} from V{} and got {}\".format(\n register[1],\n register[0],\n self.registers[register[0]]))","def r_soft_hash(x):\n if abs(x) < 1e-9:return 0\n # round it to some number of bits\n b = ns.round(ns.log(abs(x)) / ns.log(2))\n gran = 2**(b-30)\n return ns.round(x / gran) * gran","def sub(a,b):\r\n return a-b","def linear_decrease_temp(self, numIterations):\n\n denom = numIterations*self.alpha\n return self.maxCount/denom if denom > 0 else 0","def mod(self):\n p = self.end - self.start\n return p.mod()","def ROL(byte, count):\n return ((byte << count) | (byte >> (32 - count))) & 0xffffffff","def rmsd(array1, array2):\n total = 0\n for n1, n2 in zip(array1, array2):\n total += (n1 - n2) ** 2\n total /= len(array1)\n\n return math.sqrt(total)","def lfsr_proc():\n if(reset == 1):\n lfsr.next = LFSR_SEED\n else:\n if(dataClk):\n lfsr.next = concat(lfsr[LFSR_WIDTH-1:0], lfsr[9] ^ lfsr[6])"],"string":"[\n \"def rem(a, b):\\n return a % b\",\n \"def rem(self, a, b):\\n raise NotImplementedError\",\n \"def rem(self, a, b):\\n return a % b\",\n \"def rem(self, a, b):\\n return a % b\",\n \"def fn(mask, rem):\\n if not mask: return 0 # done \\n ans = inf \\n for i, x in enumerate(tasks): \\n if mask & (1<<i): \\n if x <= rem: ans = min(ans, fn(mask ^ (1<<i), rem - x))\\n else: ans = min(ans, 1 + fn(mask ^ (1<<i), sessionTime - x))\\n return ans\",\n \"def SUB():\\n global pointer, memory, registers\\n registers[memory[pointer + 0x02]] -= memory[pointer + 0x01]\\n pointer += 0x03\",\n \"def chinese_remainder_theorem(bs, ms):\\n\\n m = product(ms)\\n sol_sum = 0\\n\\n for i in range(len(ms)):\\n mi, bi = ms[i], bs[i]\\n ci = m // mi\\n # partial equation: ci*xi = bi mod mi\\n _, alpha, _ = extended_euclid(ci, mi)\\n xi = alpha * bi\\n sol_sum += xi * ci\\n\\n return sol_sum % m\",\n \"def sysrem_update_rij(rij, a, c):\\n return rij - np.outer(a,c)\",\n \"def substraction_nocarry(a,b): #Beware, it is not commuative\\n result = bytearray()\\n carry = 0\\n for byte1, byte2 in zip(a,b):\\n byte_res = (byte1-byte2-carry)\\n #print(byte_res)\\n if byte_res < 0:\\n carry = 1\\n result.append(byte_res%256)\\n else:\\n carry = 0\\n result.append(byte_res)\\n return(result)\",\n \"def _shift(self, s):\\n start_pos = self._relative_head_pos()\\n l = 1 + 2 * self.shift_length\\n shift = int(s * l - 0.000000001) - int(l / 2)\\n for s in range(abs(shift)):\\n if shift > 0:\\n if self.head_pos == len(self.memory) - 1 and len(self.memory) < self.max_memory:\\n self.memory = np.concatenate((self.memory, np.zeros((1, self.memory_unit_size))), 0)\\n self.head_pos += 1\\n else:\\n self.head_pos = (self.head_pos + 1) % self.max_memory\\n else:\\n if self.head_pos == 0 and len(self.memory) < self.max_memory:\\n self.memory = np.concatenate((np.zeros((1, self.memory_unit_size)), self.memory), 0)\\n self.left_expands += 1\\n else:\\n self.head_pos = (self.head_pos - 1) % self.max_memory\\n if self.history is not None:\\n self.history[\\\"loc\\\"][-1].append((start_pos, 0.1))\\n return np.sign(shift)\",\n \"def solution2(inp):\\n inp = get_lines(inp)\\n notes = inp[1].split(\\\",\\\")\\n\\n offsets = {}\\n for i, bus in enumerate(notes):\\n if bus == 'x':\\n continue\\n bus = int(bus)\\n offsets[bus] = i\\n buses = set(offsets)\\n old_buses = buses.copy()\\n\\n def search(bus, offset, t):\\n if (t + offset) % bus == 0:\\n buses.remove(bus)\\n if len(buses) == 0:\\n return True\\n new_bus = max(buses)\\n return search(new_bus, offsets[new_bus], t)\\n return False\\n\\n cbus = max(buses)\\n max_bus = cbus\\n s = 100_000_000_000_000\\n s = 0\\n s = s - s % cbus - offsets[cbus]\\n delta = cbus\\n stack = buses.copy()\\n stack.remove(cbus)\\n sec_max = max(stack)\\n while not search(max_bus, offsets[max_bus], offsets[max_bus]):\\n buses = old_buses.copy()\\n s += delta\\n if (s + offsets[sec_max]) % sec_max == 0:\\n if len(stack) != 0:\\n cbus = max(stack)\\n stack.remove(cbus)\\n if len(stack) != 0:\\n sec_max = max(stack)\\n else:\\n return s\\n delta *= cbus\\n\\n return s - offsets[max(offsets)]\",\n \"def _diff(rankx, ranky):\\n shift = int64(32)\\n mask = int64((1 << 32) - 1)\\n scale = float64(mask + 1)\\n hi = ranky >> shift\\n hi -= rankx >> shift\\n lo = ranky & mask\\n lo -= rankx & mask\\n out = scale * hi\\n out += lo\\n return out\",\n \"def __LFSR(self, key: bytearray) -> int:\\n x = key.pop()\\n out = x ^ key[254] ^ key[244]\\n key.append(out)\\n return out\",\n \"def chinese_remainder(ms: List[int], _as: List[int]) -> int:\\n\\n if SHOW_WORKING: print(f\\\"chinese_remainder(ms, _as) = chinese_remainder({ms}, {_as})\\\")\\n\\n for m in ms:\\n if m <= 0:\\n raise ValueError(\\\"All ms must be positive integers\\\")\\n \\n if not pairwise_coprime(*ms):\\n raise ValueError(\\\"ms must be pairwise coprime\\\")\\n\\n if len(ms) != len(_as):\\n raise ValueError(\\\"Must supply same number of _as as ms\\\")\\n\\n r: int = len(ms)\\n\\n if SHOW_WORKING:\\n print(f\\\"\\\\tFinding a solution to the following {r} congruences:\\\")\\n for i in range(r):\\n print(f\\\"\\\\t\\\\tx ≡ {_as[i]}\\\\t(mod {ms[i]})\\\")\\n \\n M = 1\\n for i in range(r):\\n M *= ms[i]\\n \\n if SHOW_WORKING: print(f\\\"\\\\tLet M = m1 * ... * m{r} = {ms[0]} * ... * {ms[r - 1]} = {M}\\\")\\n\\n Mis = []\\n yis = []\\n if SHOW_WORKING: print(f\\\"\\\\tWe must find each Mi = M / mi and yi = modinverse(Mi, mi)\\\")\\n for i in range(r):\\n Mis.append(int(M / ms[i]))\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\tM{i} = M / m{i} = {M} / {ms[i]} = {Mis[i]}\\\")\\n\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\ty{i} = modinverse(M{i}, m{i}) = modinverse({Mis[i]}, {ms[i]}) = modinverse({Mis[i] % ms[i]}, {ms[i]})\\\")\\n yis.append(modinverse(Mis[i] % ms[i], ms[i]))\\n\\n if SHOW_WORKING: print(f\\\"\\\\tSo Mis = {Mis} and yis = {yis}\\\")\\n if SHOW_WORKING: print(f\\\"\\\\tCRT -> x ≡ a1 * M1 * y1 + ... + ar * Mr * yr)\\\\t(mod M)\\\")\\n _sum: int = 0\\n for i in range(r):\\n _sum += _as[i] * Mis[i] * yis[i]\\n\\n print(f\\\"\\\\tThis is x ≡ {_sum} % {M} = {_sum % M}\\\")\\n return _sum % M\",\n \"def __rsub__(self, left):\\n return left - self.value()\",\n \"def zzx_rem(f, g):\\n return zzx_div(f, g)[1]\",\n \"def solveProblem048():\\n # Trivial to brute force with modern hardware.\\n sd = 0\\n for i in range(1,1000+1):\\n sd += i**i\\n s = str(sd)\\n s = s[-10:]\\n print(s)\",\n \"def extended_euclidean_algorithm(a, b):\\n s, old_s = 0, 1\\n t, old_t = 1, 0\\n r, old_r = b, a\\n\\n while r != 0:\\n quotient = old_r // r\\n old_r, r = r, old_r - quotient * r\\n old_s, s = s, old_s - quotient * s\\n old_t, t = t, old_t - quotient * t\\n\\n return old_r, old_s, old_t\",\n \"def reverse_difference():\",\n \"def mod(dividends, divisor):\\n\\n output = np.zeros(len(dividends))\\n\\n for i in tqdm(range(len(dividends))): \\n output[i] = dividends[i]\\n done=False\\n while (not done):\\n if output[i] >= divisor:\\n output[i] -= divisor\\n elif output[i] < 0.:\\n output[i] += divisor\\n else:\\n done=True\\n\\n return output\",\n \"def process(v,s):\\n i = len(v)\\n l = i//2 -1\\n if i & 0x1: # odd\\n res = 1\\n r = l + 2\\n else:\\n res = 0\\n r = l + 1\\n while l >=0 and r < len(s) and s[l] == s[r]: \\n l -= 1\\n r += 1\\n res += 2\\n return res\",\n \"def symmetric_diff(a,b):\\n return a ^ b\",\n \"def nCWRk(n, r):\\n val = 1\\n for i in range(1, r+1):\\n val *= n + r - i\\n val //= i\\n return val\",\n \"def sol(n):\\n p = 1\\n res = 0\\n \\n while n:\\n p*=5\\n if n&1:\\n res+=p\\n n=n>>1\\n return res%1000000007\",\n \"def rem(f, g):\\n lev, dom, per, F, G = f.unify(g)\\n return per(dmp_rem(F, G, lev, dom))\",\n \"def dec(self, params):\\n reg = params[0]\\n if self.reg_dct[reg] == 0:\\n self.reg_dct[reg] = (2 ** 32) - 1\\n else:\\n self.reg_dct[reg] -= 1\",\n \"def gc(i):\\n return i ^ (i >> 1)\",\n \"def ohms(self):\\n # Rwb = Rwiper + Rtotal * (counts / 256)\\n # Rwa = Rwiper + Rtotal * ((256 - counts) / 256)\\n g = 0\\n rtotal=0.0\\n reach=[]\\n for chan in self.get_channel_list(self.nchans):\\n self.rwa[chan] = float( 256 - self.vals[chan] ) / 256.0\\n self.rwb[chan] = float( self.vals[chan] ) / 256.0\\n self.rwa[chan] *= self.Rtotal\\n self.rwb[chan] *= self.Rtotal \\n self.rwa[chan] += self.Rwiper\\n self.rwb[chan] += self.Rwiper\",\n \"def decr_circuit_remix_count(self, circuit_id):\\n key = ':'.join(\\n [CIRCUIT_NMBR_RMX_1, \\n str(circuit_id), \\n CIRCUIT_NMBR_RMX_2]\\n )\\n if self.RS.get(key) < 0:\\n self.RS.set(key,1)\\n self.RS.decr(key)\",\n \"def dec(reg, registers):\\n registers[reg] -= 1\\n return 1\",\n \"def test_set_vx_to_vx_shr(self, cpu):\\n for x in range(0x0, 0xF):\\n for v in range(0x0, 0xFF):\\n cpu.V_register[x] = v\\n cpu.opcode = 0x8006 | (x << 8)\\n cpu.set_vx_to_vx_shr()\\n if v & 0x1 == 1:\\n assert(cpu.V_register[0xF] == 1)\\n else:\\n assert(cpu.V_register[0xF] == 0)\\n assert(cpu.V_register[x] == v/2)\",\n \"def SRR():\\n\\tglobal pointer, memory, registers\\n\\tregisters[memory[pointer + 0x02]] = registers[memory[pointer + 0x02]] >> memory[pointer + 0x01]\\n\\tpointer += 0x03\",\n \"def subtract(self,*datas):\\n\\t\\tdatas = list(datas)\\n\\t\\tresult = datas.pop(0)\\n\\t\\tfor data in datas:\\n\\t\\t\\tresult -= data\\n\\t\\treturn result\",\n \"def modinverse(a: int, m: int) -> int:\\n if SHOW_WORKING: print(f\\\"modinverse(a, m) = modinverse({a}, {m})\\\")\\n if SHOW_WORKING: print(f\\\"\\\\tWe want to find some x & y such that {a} * x + {m} * y = 1\\\")\\n\\n if a < 0 or m <= 0:\\n raise ValueError(\\\"a must be non-negative and m must be positive\\\")\\n\\n if SHOW_WORKING: print(f\\\"Find gcd(a, b) = gcd({a}, {m})\\\")\\n if m > a:\\n if SHOW_WORKING: print(f\\\"\\\\tb > a. Set r1[0] := m = {m} and r2[0] := a = {a} so that r1[0] > r2[0\\\")\\n r1s, r2s = [m], [a]\\n else:\\n if SHOW_WORKING: print(f\\\"\\\\ta >= b. Set r1[0] := a = {a} and r2[0] := m = {m} so that r1[0] >= r2[0]\\\")\\n r1s, r2s = [a], [m] \\n\\n if SHOW_WORKING: print(f\\\"\\\\tProceeding with algorithm until r2 hits 0. gcd({a}, {m}) will be the ending r1 value:\\\")\\n qs = []\\n i = 0\\n while r2s[-1] != 0:\\n i += 1\\n\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\tSet q[{i - 1}] := floor(r1[{i - 1}] / r2[{i - 1}]) = floor({r1s[i - 1]} / {r2s[i - 1]}) = floor({round(r1s[i - 1] / r2s[i - 1], 2)}) = {r1s[i - 1] // r2s[i - 1]}\\\")\\n qs.append(r1s[i - 1] // r2s[i - 1])\\n\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\tSet (r1[{i}], r2[{i}]) := (r2[{i - 1}], r1[{i - 1}] - r2[{i - 1}] * q[{i - 1}]) = ({r2s[i - 1]}, {r1s[i - 1]} - {r2s[i - 1]} * {qs[i - 1]}) = ({r2s[i - 1]}, {r1s[i - 1] - r2s[i - 1] * qs[i - 1]})\\\")\\n r1, r2 = r2s[i - 1], r1s[i - 1] - r2s[i - 1] * qs[i - 1]\\n r1s.append(r1)\\n r2s.append(r2)\\n\\n if SHOW_WORKING: print(\\\"\\\\t\\\\t -\\\")\\n \\n if SHOW_WORKING: print(f\\\"\\\\tStopping condition hit (r2[{i}] = 0). Result of gcd({a}, {m}) is r1[{i}] = {r1s[-1]}\\\")\\n\\n if r1s[-1] != 1:\\n if SHOW_WORKING: print(f\\\"\\\\t{a} has no inverse modulo {m} because gcd({a}, {m}) = {r1s[-1]} != 1 (they must be coprime)\\\")\\n return None\\n\\n if SHOW_WORKING: print(f\\\"\\\\n\\\\tBegin working backwards:\\\")\\n\\n def getnestedexpressionstr(leftstr: str, nestedr1r2q: List[Union[int, List[int]]], rightstr: str) -> str:\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\tgetnestedexpressionstr('{leftstr}', {nestedr1r2q}, '{rightstr}')\\\")\\n r1: int = nestedr1r2q[0]\\n r2: Union[int, List[int]] = nestedr1r2q[1]\\n q: int = nestedr1r2q[2]\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\t\\\\tr1 = {r1}, r2 = {r2}, q = {q}\\\")\\n\\n if isinstance(r2, int):\\n return f\\\"{leftstr}{r1} - {r2} * {q}{rightstr}\\\"\\n \\n if leftstr == rightstr == '':\\n return getnestedexpressionstr(f\\\"{r1} - (\\\", r2, f\\\") * {q}\\\")\\n\\n return getnestedexpressionstr(f\\\"{leftstr}{r1} - (\\\", r2, f\\\") * {q}{rightstr}\\\")\\n\\n def backtrack(index: int, nestedr1r2q: List[Union[int, List[int]]]) -> List[Union[int, List[int]]]:\\n \\\"\\\"\\\"Provided an index and an ordered list representing the r1, r2, and q values of the equation\\n r1 - r2 * q, this function returns another list where r2 has been broken down to the parts of \\n its equation on the previous indexed equation, e.g. if the 3rd and 4th equations from the GCD \\n algorithm are:\\n (3): r1 - r2 * q2 = 4 - 4 * 1\\n (4): r1 - r2 * q2 = 3 - 1 * 3\\n then: \\n backtrack(4, [3, 1, 3]) -> [3, [4, 3, 1], 3].\\n \\n This also works when the middle element of the list (the r2 element) is given as a list of parts,\\n e.g., if we follow the previous example where additionally equation 2 is:\\n (2): r1 - r2 * q2 = 11 - 4 * 2\\n then:\\n backtrack(3, [3, [4, 3, 1], 3]) -> [3, [4, [11, 4, 2], 1], 3].\\\"\\\"\\\"\\n \\n if SHOW_WORKING: print(f\\\"\\\\t\\\\tbacktrack({index}, {nestedr1r2q})\\\")\\n\\n if index <= 0:\\n raise ValueError(\\\"Can't backtrack from here, please supply a positive index\\\")\\n \\n r1: int = nestedr1r2q[0]\\n r2: Union[int, List[int]] = nestedr1r2q[1]\\n q: int = nestedr1r2q[2]\\n\\n if index == 1:\\n return [r1, [r1s[0], r2s[0], qs[0]], q]\\n\\n return [r1, backtrack(index - 1, [r1s[index - 1], r2s[index - 1], qs[index - 1]]), q]\\n\\n if i - 2 > 0:\\n expression = backtrack(i - 2, [r1s[i - 2], r2s[i - 2], qs[i - 2]])\\n\\n nestedexpressionstr: str = getnestedexpressionstr('', expression, '')\\n nestedexpressionstr = nestedexpressionstr.replace(str(a), 'a').replace(str(m), 'm')\\n\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\t{nestedexpressionstr}\\\")\\n if SHOW_WORKING: print(f\\\"\\\\t\\\\t{sympy.simplify(nestedexpressionstr)}\\\")\\n\\n x, y = sympy.core.numbers.igcdex(a, m)[:2]\\n if SHOW_WORKING: print(f\\\"\\\\ta * x + m * y = 1 -> {a} * {x} + {m} * {y} = 1\\\")\\n\\n if SHOW_WORKING: print(f\\\"\\\\tmodinverse({a}, {m}) = {x}\\\\t(mod {m}) = {x % m}\\\")\\n \\n return x % m\",\n \"def resta(x, y):\\n return x - y\",\n \"def _cmplx_rsub_ ( s , o ) :\\n return o - complex ( s )\",\n \"def soustraction(a,b):\\n bina = [int(x) for x in bin(a)[2:]]\\n binb = [int(x) for x in bin(b)[2:]]\\n while len(bina) >= len(binb):\\n binb = [0]+binb\\n while len(bina) < len(binb)-1:\\n bina = [0]+bina\\n bina.reverse()\\n binb.reverse()\\n n = len(bina)+len(binb)\\n na = len(bina)\\n q = QuantumRegister(n+1, 'q')\\n circ = QuantumCircuit(q)\\n for i in range(na):\\n if bina[i]:\\n circ.x(q[i])\\n for i in range(len(binb)):\\n if binb[i]:\\n circ.x(q[na+i])\\n sub(circ, q, [q[i] for i in range(len(bina))], [q[i+na] for i in range(len(binb)-1)], q[n], q[na+len(binb)-1])\\n circ_m = measure(circ, q, [i for i in range(na, n)])\\n return circ_m\",\n \"def softReset(self): #good\\r\\n\\t\\tcurrentVal = self.dec2BinList(self.read(0x6b))\\r\\n\\t\\tcurrentVal[7] = 1\\r\\n\\t\\tcurrentVal = self.binList2Dec(currentVal)\\r\\n\\t\\tself.write(0x6b, currentVal)\",\n \"def pseudo_r2(self):\\n y_reg = self.time_series(len(self.data))\\n SSres = ((self.data - y_reg)**2).sum()\\n SStot = ((self.data - self.data.mean())**2).sum()\\n return 1 - SSres/SStot\",\n \"def modReduce(self, x):\\n\\n assert 0 <= x < pow(self.mod, 2), 'out of range.'\\n q = (x * self.u) >> (2 * self.M_bit)\\n r = x - q * self.mod\\n while r >= self.mod:\\n r -= self.mod\\n return r\",\n \"def sweep_relay():\",\n \"def srlatch(_signal,reset_th, set_th):\\n s = [_signal > set_th][0]\\n r = [_signal < reset_th][0]\\n L = len(_signal)\\n q = np.zeros(L)\\n # qrev = np.zeros(L)\\n for i in np.arange(L):\\n if ((s[i] == 0) & (r[i] == 0) & (i > 0)):\\n q[i] = q[i - 1]\\n elif ((s[i] == 0) & (r[i] == 1)):\\n q[i] = 0\\n elif ((s[i] == 1) & (r[i] == 0)):\\n q[i] = 1\\n else:\\n q[i] == -1 # error\\n return np.array(q)\",\n \"def __rdivmod__(self, other):\\r\\n return NotImplemented\",\n \"def __rdivmod__(self, other):\\r\\n return NotImplemented\",\n \"def s_neg(self):\\n running_total = 0\\n for i in range(self.prob.num):\\n if self.alphas[i] > 1e-5 > self.prob.C - self.deltas[i] and self.prob.Y[i] == -1:\\n ayxx = 0\\n for j in range(self.prob.num):\\n ayxx += self.alphas[j] * self.prob.Y[j] * self.prob.xkernel(self.prob.X[j], self.prob.X[i])\\n running_total += -1 - ayxx\\n return running_total\",\n \"def relax_checker():\\n checker = 2\\n global v, vNew, n\\n for check in range(0,2):\\n for x in range(1,n):\\n for y in range(1,n):\\n if (x*(n+1) + y) % 2 == check:\\n v[x,y] = (v[x-1][y] + v[x+1][y] + v[x][y-1] + v[x][y+1])*0.25\",\n \"def removedrift(self,deg=10):\\n\\n # First remove a secular zeropoint drift over the entire scanset. Fit just the\\n # scans but remove from cal stares as well.\\n x=self.t\\n scanind=self.getscanind()\\n for k in range(self.nf):\\n y=self.spec[:,k]\\n if not np.any(np.isnan(y)):\\n p=np.polyfit(x[scanind],y[scanind],deg=deg)\\n # Don't remove mean \\n p[-1]=0\\n self.spec[:,k]=self.spec[:,k]-np.poly1d(p)(x)\\n\\n return\\n \\n for k in range(self.nscan):\\n # Each scan\\n ind=self.getscanind(k)\\n\\n for j,val in enumerate(np.unique(self.za[ind])):\\n # Find contiguous blocks \\n doind=ind[np.where(self.za[ind]==val)]\\n dx=doind-np.roll(doind,1)\\n startind=np.where(dx!=1)[0]\\n endind=np.append(startind[1:],dx.size)\\n\\n for l,val in enumerate(startind):\\n # For each contiguous block\\n s=doind[startind[l]]\\n e=doind[endind[l]-1]+1\\n x=self.t[s:e]\\n x=x-x.mean()\\n y=self.spec[s:e,:]\\n\\n for m in range(self.nf):\\n # For each channel\\n yy=y[:,m];\\n if not np.any(np.isnan(yy)):\\n p=np.polyfit(x,yy,deg=deg); # Fit p3\\n z=np.poly1d(p)\\n yy=yy-z(x)\\n self.spec[s:e,m]=yy # replace data\",\n \"def dkrodsw(self, sw):\\n kro0, sor, swc, no = self.kro0, self.sor, self.swc, self.no\\n res = np.zeros_like(sw)\\n cond1 = np.logical_and(swc <= sw, sw <= 1 - sor)\\n res[cond1] = -no * kro0 / (1 - sor - swc) * ((1 - sw[cond1] - sor) / (1 - sor - swc)) ** (no - 1)\\n cond2 = np.logical_and(0.0 < sw, sw < swc)\\n res[cond2] = (kro0 - 1) / swc\\n res[sw > 1 - sor] = 0.0 \\n res[sw <= 0.0] = 0.0\\n return res\",\n \"def reciprocal(self):\\r\\n s, e = self.share\\r\\n s = 0.5*(1/s) # TODO: no normalization for 1/s as 1/2<=abs(s)<=1 (s<0 test still needed)\\r\\n return type(self)((s, 1-e))\",\n \"def calcRMSE(inflow, demand):\\n ssd = 0\\n for i in range(len(inflow)):\\n ssd += pow((inflow[i]-demand[i]),2)\\n rmse = np.sqrt(ssd/len(inflow))\\n return rmse\",\n \"def sub(x, y):\\n\\n z = [0 for i in range(len(x))]\\n for i in range(len(x)):\\n z[i] = z[i] + x[i]\\n if (i < len(y)):\\n z[i] -= y[i]\\n if (z[i] < 0):\\n z[i] += 10\\n z[i + 1] -= 1\\n while (len(z) > 1 and z[len(z) - 1] == 0):\\n z.pop()\\n return z\",\n \"def remove_cycles_redund(R, tol=1e-12, verbose=True):\\n zero_rays = np.where(np.count_nonzero(R, axis=0) == 0)[0]\\n for ray_ind in zero_rays:\\n R = np.delete(R, ray_ind, axis=1)\\n cycle_rays = np.zeros((R.shape[0], 0))\\n A_eq, b_eq, c, x0 = setup_cycle_LP(independent_rows_qr(normalize_columns(np.array(R, dtype='float'))), only_eq=True)\\n\\n if verbose:\\n mp_print('Constructing basis for LP')\\n basis = get_basis_columns_qr(np.asarray(A_eq, dtype='float'))\\n b_eq, x0 = perturb_LP(b_eq, x0, A_eq, basis, 1e-10)\\n if verbose:\\n mp_print('Starting linearity check using LP.')\\n cycle_present, status, cycle_indices = cycle_check_with_output(c, np.asarray(A_eq, dtype='float'), x0, basis)\\n\\n if status != 0:\\n print(\\\"Cycle check failed, trying normal LP\\\")\\n A_ub, b_ub, A_eq, b_eq, c, x0 = setup_cycle_LP(independent_rows_qr(normalize_columns(np.array(R, dtype='float'))))\\n res = linprog(c, A_ub, b_ub, A_eq, b_eq, method='revised simplex', options={'tol': 1e-12},\\n x0=x0)\\n if res.status == 4:\\n print(\\\"Numerical difficulties with revised simplex, trying interior point method instead\\\")\\n res = linprog(c, A_ub, b_ub, A_eq, b_eq, method='interior-point', options={'tol': 1e-12})\\n\\n cycle_present = True if np.max(res.x) > 90 else False\\n if cycle_present:\\n cycle_indices = np.where(res.x > 90)[0]\\n if np.any(np.isnan(res.x)):\\n raise Exception('Remove cycles did not work, because LP-solver had issues. Try to solve this.')\\n\\n # if the objective is unbounded, there is a cycle that sums to zero\\n while cycle_present:\\n # Find minimal cycle\\n met = -1\\n counter = 0\\n while met < 0:\\n cycle_ind = cycle_indices[counter]\\n met = get_remove_metabolite_redund(R, cycle_ind)\\n counter = counter + 1\\n\\n cycle_rays = np.append(cycle_rays, R[:, cycle_ind][:, np.newaxis], axis=1)\\n R = cancel_with_cycle_redund(R, met, cycle_ind)\\n\\n # Do new LP to check if there is still a cycle present.\\n A_eq, b_eq, c, x0 = setup_cycle_LP(independent_rows_qr(normalize_columns(np.array(R, dtype='float'))), only_eq=True)\\n\\n basis = get_basis_columns_qr(np.asarray(A_eq, dtype='float'))\\n b_eq, x0 = perturb_LP(b_eq, x0, A_eq, basis, 1e-10)\\n if verbose:\\n mp_print('Starting linearity check in H_ineq using LP.')\\n cycle_present, status, cycle_indices = cycle_check_with_output(c, np.asarray(A_eq, dtype='float'), x0, basis)\\n\\n if status != 0:\\n print(\\\"Cycle check failed, trying normal LP\\\")\\n A_ub, b_ub, A_eq, b_eq, c, x0 = setup_cycle_LP(\\n independent_rows_qr(normalize_columns(np.array(R, dtype='float'))))\\n res = linprog(c, A_ub, b_ub, A_eq, b_eq, method='revised simplex', options={'tol': 1e-12},\\n x0=x0)\\n if res.status == 4:\\n print(\\\"Numerical difficulties with revised simplex, trying interior point method instead\\\")\\n res = linprog(c, A_ub, b_ub, A_eq, b_eq, method='interior-point', options={'tol': 1e-12})\\n\\n cycle_present = True if np.max(res.x) > 90 else False\\n if cycle_present:\\n cycle_indices = np.where(res.x > 90)[0]\\n if np.any(np.isnan(res.x)):\\n raise Exception('Remove cycles did not work, because LP-solver had issues. Try to solve this.')\\n\\n return R, cycle_rays\",\n \"def remainder(left_object, right_object):\\n result = left_object % right_object\\n if left_object < 0 and result > 0 or left_object > 0 and result < 0:\\n result = result - right_object\\n return result\",\n \"def subSanity(self):\\n\\t\\tself.sanity -= 1\\n\\t\\tif self.sanity < -10:\\n\\t\\t\\tself.sanity = -10\",\n \"def get_change(m):\\n m1 = m % 10\\n m2 = m1 % 5\\n return m//10 + m1//5 + m2\",\n \"def zzX_rem(f, g):\\n return zzX_div(f, g)[1]\",\n \"def ramfdec(self):\\n return 0\",\n \"def __call__(self, x: float):\\n out = self._n2 - x\\n out = np.where(np.abs(out) > 1.0e-12, out, np.NaN)\\n out = self._multiplicity / out\\n\\n return np.sum(out, axis=0) - self._normalization\",\n \"def __call__(self, x: float):\\n out = self._n2 - x\\n out = np.where(np.abs(out) > 1.0e-12, out, np.NaN)\\n out = self._multiplicity / out\\n\\n return np.sum(out, axis=0) - self._normalization\",\n \"def sub64(a,b):\\n return(np.subtract(a, b, dtype=np.uint64))\",\n \"def rshift(val, n):\\n return (val % 0x100000000) >> n\",\n \"def rshift(val, n):\\n return (val % 0x100000000) >> n\",\n \"def modReducem(self, x, M):\\n tmp_mod, tmp_M_bit, tmp_u = self.mod, self.M_bit, self.u\\n self.mod = M\\n self.M_bit = M.bit_length()\\n self.u = (1 << (2 * self.M_bit)) // M\\n r = self.modReduce(x)\\n # return initial modular, bit size of modular and precompute u\\n self.mod, self.M_bit, self.u = tmp_mod, tmp_M_bit, tmp_u\\n return r\",\n \"def sub_wo_carry(n1, n2):\\n l1 = [int(x)+10 for x in str(n1)]\\n l2 = [int(x) for x in str(n2)] \\n res1 = map(operator.sub, l1, l2)\\n res2 = [str(x)[-1] for x in res1]\\n return \\\"\\\".join(res2)\",\n \"def plus_minus(seq):\\n items = even_odd_sums(seq)\\n res = items[0] - seq[0]*2\\n return items[1] - res\",\n \"def ramfinc(self):\\n return 0\",\n \"def __xor__(self, other):\\r\\n return self + other - 2 * self * other\",\n \"def sgn (self):\\n even_cycles = filter(lambda x: not (len(x) % 2), self._getcycles())\\n return -2 * (len(even_cycles) % 2) + 1\",\n \"def tickDiff(tStart, tEnd):\\n tDiff = tEnd - tStart\\n if tDiff < 0:\\n tDiff += (1 << 32)\\n return tDiff\",\n \"def __rtruediv__(self, other):\\r\\n return other * self.reciprocal()\",\n \"def sturm(P):\\n inf = float('inf')\\n assert P.isreal()\\n A = P\\n B = A.prime()\\n l1 = [A(-inf)]\\n l2 = [A(inf)]\\n while B:\\n l1.append(B(-inf))\\n l2.append(B(inf))\\n B, A = -A % B, B\\n return Polynomial.sign_changes(l1) - Polynomial.sign_changes(l2)\",\n \"def subtract_poly(a_remote, b_remote, m):\\n # Copy the two arrays\\n a = a_remote.copy()\\n b = b_remote.copy()\\n\\n # Make the length the same\\n sanitize_arrays(a, b)\\n\\n result = []\\n # Subtract numbers with same index and modulo m them. Add to result\\n for x, y in zip(a, b):\\n result.append((x - y) % m)\\n\\n return clear_leading_zeroes(result)\",\n \"def crt(remainders: np.ndarray, moduli: np.ndarray) -> int: # pragma: no cover\\n # Iterate through the system of congruences reducing a pair of congruences into a\\n # single one. The answer to the final congruence solves all the congruences.\\n a1, m1 = remainders[0], moduli[0]\\n for a2, m2 in zip(remainders[1:], moduli[1:]):\\n # Use the Extended Euclidean Algorithm to determine: b1*m1 + b2*m2 = gcd(m1, m2).\\n d, b1, b2 = EGCD(m1, m2)\\n\\n if d == 1:\\n # The moduli (m1, m2) are coprime\\n x = (a1 * b2 * m2) + (a2 * b1 * m1) # Compute x through explicit construction\\n m1 = m1 * m2 # The new modulus\\n else:\\n # The moduli (m1, m2) are not coprime, however if a1 == b2 (mod d)\\n # then a unique solution still exists.\\n if not (a1 % d) == (a2 % d):\\n raise ArithmeticError\\n x = ((a1 * b2 * m2) + (a2 * b1 * m1)) // d # Compute x through explicit construction\\n m1 = (m1 * m2) // d # The new modulus\\n\\n a1 = x % m1 # The new equivalent remainder\\n\\n # At the end of the process x == a1 (mod m1) where a1 and m1 are the new/modified residual\\n # and remainder.\\n\\n return a1\",\n \"def test_shift_ruptures_no_shift(midday):\\n shift_mask, shift_amounts = time.shifts_ruptures(\\n midday, midday\\n )\\n assert not shift_mask.any()\\n assert_series_equal(\\n shift_amounts,\\n pd.Series(0, index=midday.index, dtype='int64'),\\n check_names=False\\n )\",\n \"def revise():\",\n \"def gfmul(x, y):\\n ret = 0\\n for i in range(64):\\n if (x & (1 << i)) != 0:\\n ret ^= y << i\\n return ret\",\n \"def mdst(x, odd=True):\\n return -1 * numpy.imag(cmdct(x, odd=odd)) * numpy.sqrt(2)\",\n \"def se(actual,expected):\\n return np.power(np.subtract(actual,expected),2)\",\n \"def minFlipsMonoIncr(self, s: str) -> int:\\n\\n def __minFMI(s, head: str) -> int:\\n if len(s) == 1:\\n # last one, no need to flip if head is 0 or s[0] same as head\\n if s[0] == head or head == '0':\\n return 0\\n else:\\n return 1\\n if s[0] == head:\\n # head and s[0] are same, no need to flip as we want minimum flips\\n return __minFMI(s[1:], head)\\n elif head == '0': # head = 0 and s[0] = 1, has two choices\\n # first arg is flip s[0] from 1 to 0, last arg is keep s[0] as 1\\n # and head changed to 1\\n return min(__minFMI(s[1:], '0') + 1, __minFMI(s[1:], '1'))\\n else:\\n # head = 1 and s[0] = 0, and must flip s[0] to 1\\n return __minFMI(s[1:], '1') + 1\\n\\n # assume the virtual head is 0\\n return __minFMI(s, '0')\",\n \"def __straightness_correction(self):\\n self.elapsed_ticks_left, self.elapsed_ticks_right = \\\\\\n read_enc_ticks(self.initial_ticks_left, self.initial_ticks_right)\\n\\n print(\\\"L: \\\" + str(self.elapsed_ticks_left) + \\\"\\\\tR: \\\" + str(self.elapsed_ticks_right))\\n\\n # Handle invalid encoder readings\\n if self.elapsed_ticks_left < 0 and self.elapsed_ticks_right < 0:\\n print(\\\"Bad encoder reading\\\")\\n return (0, 0)\\n if self.elapsed_ticks_left > self.elapsed_ticks_right:\\n print(\\\"Right slow\\\")\\n return (-get_inc(self.speed), get_inc(self.speed))\\n elif self.elapsed_ticks_left < self.elapsed_ticks_right:\\n print(\\\"Left slow\\\")\\n return (get_inc(self.speed), -get_inc(self.speed))\\n else:\\n print(\\\"Equal\\\")\\n return (0, 0)\",\n \"def mcd(a, b):\\n while(b != 0):\\n a,b = b,a%b\\n return a\",\n \"def secross(r=1):\\n\\n B = sesum(binary([[0,1,0],\\n [1,1,1],\\n [0,1,0]]),r)\\n return B\",\n \"def get_rm(g):\\n return 1 / g\",\n \"def __divmod__(self, other: 'SInt') -> 'SInt':\\r\\n if type(self) != type(other):\\r\\n raise TypeError(\\\"Wrong type or length for other\\\")\\r\\n\\r\\n size = max(self.nbBytes, other.nbBytes)\\r\\n Divid, Divis = abs(self).cast(size), abs(other).cast(size)\\r\\n Quotient = SInt(size)\\r\\n one = SInt(size)\\r\\n one.binaire = '0' * (size * 8 - 1) + '1'\\r\\n Quotient.binaire = '0' * 8 * size\\r\\n while Divis < Divid or Divis == Divid:\\r\\n Quotient += one\\r\\n Divid -= Divis\\r\\n # Here, the remain is the dividende\\r\\n Remainer = Divid\\r\\n if self.signe != other.signe: # Problems occur only with different signs\\r\\n if Remainer.valeur() == 0: # When abs(a) % abs(b) == 0, there is specific instructions\\r\\n Quotient = -Quotient\\r\\n else:\\r\\n Quotient = -(Quotient + one)\\r\\n # ---------------------------------------------------------------------------------\\r\\n Remainer = ((self.cast(2 * size) - (Quotient * other)) << size * 8).cast(size)\\r\\n # ---------------------------------------------------------------------------------\\r\\n if self.signe == other.signe == '1':\\r\\n Remainer = - Remainer\\r\\n return Quotient, Remainer\",\n \"def rshift(val: int, n: int) -> int:\\n return (val % 0x100000000) >> n\",\n \"def fn(x, mask):\\n ans = size = 0 \\n for xx in range(1, 10): \\n if not mask & (1 << xx): \\n if (x, xx) not in mp or mask & 1 << mp[x, xx]: \\n ans += fn(xx, mask^(1<<xx))\\n size += 1\\n size = 9 - size\\n if m <= size <= n: ans += 1\\n return ans\",\n \"def sub_reg_from_reg(self):\\n register = self.return_middle_registers(self.opcode)\\n if self.registers[register[0]] > self.registers[register[1]]:\\n self.registers[0xF] = 1\\n self.registers[register[0]] -= self.registers[register[1]]\\n else:\\n self.registers[0xF] = 0\\n self.registers[register[0]] = (\\n 256\\n + self.registers[register[0]]\\n - self.registers[register[1]])\\n # the 256 is there to simulate a wrap around of an unsigned integer\\n logger.info(\\\"Subtracted V{} from V{} and got {}\\\".format(\\n register[1],\\n register[0],\\n self.registers[register[0]]))\",\n \"def fn(x, m):\\n if x == 31: return int(m > 2)\\n ans = fn(x+1, m)\\n if freq[x] and masks[x]: \\n if x == 1: ans *= 2**freq[x]\\n elif not m & masks[x]: ans += freq[x] * fn(x+1, m | masks[x])\\n return ans % 1_000_000_007\",\n \"def __invert__(self):\\r\\n return 1 - self\",\n \"def GetPhysicalShiftBetweenSlices(Image0, SliceNum0, Image1, SliceNum1):\\n \\n import numpy as np\\n \\n mmShift = np.array(Image1.TransformIndexToPhysicalPoint([0,0,SliceNum1])) \\\\\\n - np.array(Image0.TransformIndexToPhysicalPoint([0,0,SliceNum0]))\\n \\n return mmShift\",\n \"def bulk_modulus():\\n\\n return 10000.0\",\n \"def msub(sp,potential,xv,dt,choice='King62',alpha=1.):\\n lt = ltidal(sp,potential,xv,choice)\\n if lt<sp.rh: \\n dm = alpha * (sp.Mh-sp.M(lt)) * dt/pr.tdyn(potential,xv[0],xv[2])\\n dm = max(dm,0.) # avoid negative dm\\n if cfg.Mres is not none:\\n # Fixed Mres case\\n m = max(sp.Mh-dm, cfg.Mres)\\n else:\\n # Evolve subhaloes down to m/m_{acc} = phi_{res}\\n m = max(sp.Mh-dm,cfg.phi_res*sp.Minit) \\n else:\\n m = sp.Mh\\n return m,lt\",\n \"def fn(mask, k):\\n if not mask: return 0 \\n ans = inf \\n for i in range(n): \\n if mask & (1<<i): \\n ans = min(ans, (nums1[i]^nums2[k]) + fn(mask^(1<<i), k+1))\\n return ans\",\n \"def subn_reg_from_reg(self):\\n register = self.return_middle_registers(self.opcode)\\n if self.registers[register[1]] > self.registers[register[0]]:\\n self.registers[0xF] = 1\\n self.registers[register[0]] = (\\n self.registers[register[1]]\\n - self.registers[register[0]])\\n else:\\n self.registers[0xF] = 0\\n self.registers[register[0]] = (\\n 256\\n + self.registers[register[1]]\\n - self.registers[register[0]])\\n\\n logger.info(\\\"Subtracted V{} from V{} and got {}\\\".format(\\n register[1],\\n register[0],\\n self.registers[register[0]]))\",\n \"def r_soft_hash(x):\\n if abs(x) < 1e-9:return 0\\n # round it to some number of bits\\n b = ns.round(ns.log(abs(x)) / ns.log(2))\\n gran = 2**(b-30)\\n return ns.round(x / gran) * gran\",\n \"def sub(a,b):\\r\\n return a-b\",\n \"def linear_decrease_temp(self, numIterations):\\n\\n denom = numIterations*self.alpha\\n return self.maxCount/denom if denom > 0 else 0\",\n \"def mod(self):\\n p = self.end - self.start\\n return p.mod()\",\n \"def ROL(byte, count):\\n return ((byte << count) | (byte >> (32 - count))) & 0xffffffff\",\n \"def rmsd(array1, array2):\\n total = 0\\n for n1, n2 in zip(array1, array2):\\n total += (n1 - n2) ** 2\\n total /= len(array1)\\n\\n return math.sqrt(total)\",\n \"def lfsr_proc():\\n if(reset == 1):\\n lfsr.next = LFSR_SEED\\n else:\\n if(dataClk):\\n lfsr.next = concat(lfsr[LFSR_WIDTH-1:0], lfsr[9] ^ lfsr[6])\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5365042","0.53464013","0.5335688","0.5335688","0.5281327","0.52548957","0.5081097","0.49769276","0.48923093","0.4859301","0.4846898","0.48468667","0.4845998","0.48315325","0.48149613","0.4801941","0.479971","0.4781277","0.47734118","0.47720233","0.47485164","0.474614","0.47383964","0.4735171","0.47188318","0.4689821","0.4688938","0.46850172","0.46803844","0.46722615","0.46720904","0.4661204","0.46539527","0.46510082","0.46424878","0.46407247","0.46320665","0.4628226","0.46243343","0.46071836","0.460038","0.45964924","0.45960924","0.45960924","0.45932952","0.45900762","0.45720223","0.45706704","0.4569238","0.45653751","0.45644584","0.45564428","0.45559356","0.4555683","0.45547557","0.4547341","0.45450136","0.45392555","0.45392555","0.4536925","0.4535283","0.4535283","0.4531891","0.45300463","0.45298585","0.45289215","0.45231766","0.45206124","0.45159668","0.45131585","0.45049226","0.44990736","0.4497162","0.44945422","0.44911045","0.44907832","0.4488717","0.44868174","0.44863483","0.44829887","0.44774652","0.4475359","0.44714677","0.4467227","0.44663423","0.4459678","0.4455229","0.44538656","0.44532457","0.44525182","0.44511825","0.44511232","0.44510698","0.44457868","0.44383955","0.44362918","0.44332215","0.44276217","0.44272077","0.4422856","0.4414378"],"string":"[\n \"0.5365042\",\n \"0.53464013\",\n \"0.5335688\",\n \"0.5335688\",\n \"0.5281327\",\n \"0.52548957\",\n \"0.5081097\",\n \"0.49769276\",\n \"0.48923093\",\n \"0.4859301\",\n \"0.4846898\",\n \"0.48468667\",\n \"0.4845998\",\n \"0.48315325\",\n \"0.48149613\",\n \"0.4801941\",\n \"0.479971\",\n \"0.4781277\",\n \"0.47734118\",\n \"0.47720233\",\n \"0.47485164\",\n \"0.474614\",\n \"0.47383964\",\n \"0.4735171\",\n \"0.47188318\",\n \"0.4689821\",\n \"0.4688938\",\n \"0.46850172\",\n \"0.46803844\",\n \"0.46722615\",\n \"0.46720904\",\n \"0.4661204\",\n \"0.46539527\",\n \"0.46510082\",\n \"0.46424878\",\n \"0.46407247\",\n \"0.46320665\",\n \"0.4628226\",\n \"0.46243343\",\n \"0.46071836\",\n \"0.460038\",\n \"0.45964924\",\n \"0.45960924\",\n \"0.45960924\",\n \"0.45932952\",\n \"0.45900762\",\n \"0.45720223\",\n \"0.45706704\",\n \"0.4569238\",\n \"0.45653751\",\n \"0.45644584\",\n \"0.45564428\",\n \"0.45559356\",\n \"0.4555683\",\n \"0.45547557\",\n \"0.4547341\",\n \"0.45450136\",\n \"0.45392555\",\n \"0.45392555\",\n \"0.4536925\",\n \"0.4535283\",\n \"0.4535283\",\n \"0.4531891\",\n \"0.45300463\",\n \"0.45298585\",\n \"0.45289215\",\n \"0.45231766\",\n \"0.45206124\",\n \"0.45159668\",\n \"0.45131585\",\n \"0.45049226\",\n \"0.44990736\",\n \"0.4497162\",\n \"0.44945422\",\n \"0.44911045\",\n \"0.44907832\",\n \"0.4488717\",\n \"0.44868174\",\n \"0.44863483\",\n \"0.44829887\",\n \"0.44774652\",\n \"0.4475359\",\n \"0.44714677\",\n \"0.4467227\",\n \"0.44663423\",\n \"0.4459678\",\n \"0.4455229\",\n \"0.44538656\",\n \"0.44532457\",\n \"0.44525182\",\n \"0.44511825\",\n \"0.44511232\",\n \"0.44510698\",\n \"0.44457868\",\n \"0.44383955\",\n \"0.44362918\",\n \"0.44332215\",\n \"0.44276217\",\n \"0.44272077\",\n \"0.4422856\",\n \"0.4414378\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":88295,"cells":{"query":{"kind":"string","value":"Get model corresponding to a,c vector"},"document":{"kind":"string","value":"def get_model(self, last=True, a=None, c=None):\n \n if (a is not None) and (c is not None) and (not last):\n return np.outer(a, c)\n elif last and (a is None) and (c is None):\n if len(self.rijs) == 0:\n raise(PE.PyAValError(\"Last model requested, but no model exists yet.\", \\\n where=\"SysRem\", \\\n solution=\"Call 'iterate' first.\"))\n a, c = self.ac[-1][0], self.ac[-1][1]\n return np.outer(a, c)\n else:\n raise(PE.PyAValError(\"Unknown combination of parameters given.\", \\\n where=\"SysRem.get_model\", \\\n solution=\"Specify either a and c or use 'last=True'.\"))"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def recognition_model(self, x, c):\n x = self.encoder(x)\n c = self.conditional(c)\n temp = self.recog_head(x + c)\n mu = self.mu(temp)\n logvar = self.logvar(temp)\n return mu, logvar","def recognition_model(self, x, c):\n x = self.encoder(x)\n c = self.conditional(c)\n temp = self.recog_head(x + c)\n mu = self.mu(temp)\n logvar = self.logvar(temp)\n return mu, logvar","def model(a, t, D, m):\n xprime = a[1] # x' = v\n vprime = -D*a[0]/m # v' = -D*x/m\n return [xprime, vprime]","def compute_similarities_from_vec(self, dataset, a):\n self.model.fit(dataset.X, a)\n return self.model.coef_","def _get_obj(self, weights, alpha_vector):\r\n assert (len(alpha_vector.columns) == 1)\r\n return cvx.Minimize(-alpha_vector.T.values[0]*weights)","def _get_obj(self, weights, alpha_vector):\r\n assert (len(alpha_vector.columns) == 1)\r\n\r\n return cvx.Minimize(-alpha_vector.T.values[0] * weights + self.lambda_reg * cvx.pnorm(weights, 2))","def getModel(self):\n m,n = self.m,self.n\n A = np.zeros((m,m))\n B = np.zeros((m,n))\n C = np.zeros(m)\n Apattern,Bpattern,Cpattern = self.coeffPattern\n for i,e in enumerate(self.estimators):\n aofs = 0\n bofs = m\n cofs = m+n\n if Apattern==None:\n ai = e.x[aofs:m+aofs]\n else:\n bofs=aofs\n ai = []\n for j,pj in enumerate(Apattern[i]):\n if pj == None:\n ai.append(e.x[bofs])\n bofs += 1\n else:\n ai.append(pj)\n if Bpattern==None:\n bi = e.x[bofs:n+bofs]\n else:\n cofs=bofs\n bi = []\n for j,pj in enumerate(Bpattern[i]):\n if pj == None:\n bi.append(e.x[cofs])\n cofs += 1\n else:\n bi.append(pj)\n if Cpattern==None:\n ci = e.x[cofs]\n cofs+=1\n else:\n if Cpattern[i] == None:\n ci = e.x[cofs]\n cofs+=1\n else:\n ci = Cpattern[i]\n assert(cofs == e.n)\n assert len(ai)==m\n assert len(bi)==n\n A[i,:] = ai\n B[i,:] = bi\n C[i] = ci\n return (A,B,C)","def get_model_4(parameters):\n # Generate model\n model = svm.SVC(C=parameters['C'], gamma='scale', probability=True,\n class_weight='balanced',\n decision_function_shape='ovr')\n \n # Return the model\n return model","def get_vector(word, model):\n return model.wv[word]","def select(self):\n\t\tbest_num_components = self.n_constant\n\t\treturn self.base_model(best_num_components)","def _get_obj(self, weights, alpha_vector):\r\n assert (len(alpha_vector.columns) == 1)\r\n\r\n # TODO: Implement function\r\n alpha_vec_vals = alpha_vector.values[:, 0]\r\n x_star = (alpha_vec_vals - np.mean(alpha_vec_vals)) / sum(abs(alpha_vec_vals))\r\n return cvx.Minimize(cvx.pnorm(weights - x_star, 2))","def model(self):\n return numpy.array([\n [self.x1, self.y1],\n [self.x2, self.y2],\n [self.x3, self.x3]\n ])","def generation_model(self, z, c): # P(x|z, c)\n z_c = torch.cat((z, c), dim=1)\n x_hat = self.decoder(z_c)\n return x_hat","def generation_model(self, z, c): # P(x|z, c)\n z_c = torch.cat((z, c), dim=1)\n x_hat = self.decoder(z_c)\n return x_hat","def _generate_retrieval_model(self):\n real_vecs = self._item_vector['vec'].values.tolist()\n item_vector_array = np.array(real_vecs)\n item_vector_array = ContentBasedAlgo._vector_normalize(item_vector_array.astype('float32'))\n retrieval_model = faiss.IndexFlatIP(self._dimension)\n retrieval_model.add(item_vector_array)\n return retrieval_model","def predict_for_customers(self,):\n return self.user_vectors.dot(self.item_vectors.T)","def mvector(B, c):\n # for Sun Mg Potential: c=1.6281689374348\n A = np.zeros(shape=4)\n A[0] = (2 / 3) * B[0]\n A[1] = 0.5 * ((2 / sqrt(3)) * B[1] - A[0])\n A[2] = -A[0] - A[1]\n A[3] = B[2] / c\n return A","def find_a_b(v_star, u_star, C):\n # test values (C = 1)\n alpha, v, u = get_convex_combination(v_star, u_star, C)\n i = np.argmax(alpha)\n b = v[i]\n # j = argmax(alpha*|v - b|)\n vb = v - b\n j = np.argmax(np.multiply(alpha,\n np.sqrt(vb[:,0]**2 + vb[:,1]**2)))\n a = v[j]\n alpha_j = alpha[j]\n\n return a, b, alpha_j","def modeling(matrix):\n cv = CountVectorizer()\n cv_fit = cv.fit_transform(matrix)\n return cv, cv_fit","def cas2vec_model(config):\n input_layer, embedding_layer = build_cnn_input(config)\n\n fcc_layer = build_cnn_layer(embedding_layer, config)\n cascade_embedding_layer, prediction_layer = build_mlp(fcc_layer, config)\n model = tf.keras.models.Model(\n inputs=input_layer, outputs=prediction_layer)\n cascade_embedding_predictor = tf.keras.models.Model(\n inputs=input_layer, outputs=cascade_embedding_layer)\n\n model.compile(\n optimizer=tf.train.AdamOptimizer(config['learning_rate']),\n loss='binary_crossentropy', metrics=config['metrics'])\n\n return {\n 'model': model,\n 'cascade_embedding_predictor':cascade_embedding_predictor\n }","def select(self):\n best_num_components = self.n_constant\n return self.base_model(best_num_components)","def select(self):\n best_num_components = self.n_constant\n return self.base_model(best_num_components)","def select(self):\n best_num_components = self.n_constant\n return self.base_model(best_num_components)","def select(self):\n best_num_components = self.n_constant\n return self.base_model(best_num_components)","def select(self):\n best_num_components = self.n_constant\n return self.base_model(best_num_components)","def select(self):\n best_num_components = self.n_constant\n return self.base_model(best_num_components)","def select(self):\n best_num_components = self.n_constant\n return self.base_model(best_num_components)","def select(self):\n best_num_components = self.n_constant\n return self.base_model(best_num_components)","def select(self):\n best_num_components = self.n_constant\n return self.base_model(best_num_components)","def svc_model(params):\n\n if (params['random']):\n params['C'] = random.randrange(1, 13, step=1) * 0.1\n params['degree'] = random.choice([2, 3, 4, 5])\n params['kernel'] = random.choice(['linear', 'rbf', 'poly', 'sigmoid'])\n \n model = svm.SVC(\n decision_function_shape='ovo',\n C=params['C'],\n degree=params['degree'],\n kernel=params['kernel']\n )\n\n return model","def apply_model(data, ids):\n similar_vectors = load_model(data, ids)\n return similar_vectors","def spatial_database():\n return UniformVelModel()","def svm():","def get_bar_vector(model, elem, node1, node2, xyz1):\n cd1 = node1.Cd()\n cd2 = node2.Cd()\n if model is None:\n cd1_ref = node1.cd_ref\n cd2_ref = node2.cd_ref\n\n # get the vector v, which defines the projection on to the elemental\n # coordinate frame\n if elem.g0:\n #msg = 'which is required by %s eid=%s\\n%s' % (elem.type, elem.g0, str(elem))\n g0_ref = elem.g0_ref\n n0 = g0_ref.get_position()\n v = n0 - xyz1\n else:\n v = cd1_ref.transform_node_to_global(elem.x)\n\n else:\n msg = ', which is required by %s=%s' % (elem.type, elem.eid)\n cd1_ref = model.Coord(cd1)\n cd2_ref = model.Coord(cd2)\n\n # get the vector v, which defines the projection on to the elemental\n # coordinate frame\n if elem.g0:\n #msg = 'which is required by %s eid=%s\\n%s' % (elem.type, elem.g0, str(elem))\n g0_ref = model.Node(elem.g0, msg=msg)\n n0 = g0_ref.get_position()\n v = n0 - xyz1\n else:\n v = cd1_ref.transform_node_to_global(elem.x)\n cd1_ref = model.Coord(cd1)\n cd2_ref = model.Coord(cd2)\n\n return v, cd1, cd1_ref, cd2, cd2_ref","def predict(self, input_vec):\n return self.model.predict(input_vec)","def model_onelayer(r):\n\n\t#- march through the various depth levels -----------------------------------------------------\n\n\tif (r > 6361000.0):\n\t\trho = 2.7\n\t\tvpv = 5.8\n\t\tvph = vpv\n\t\tvsv = 2.0\n\t\tvsh = vsv\n\t\teta = 1.0\n\n\telse:\n\t\trho = 3.1\n\t\tvpv = 7.8\n\t\tvph = vpv\n\t\tvsv = 3.0\n\t\tvsh = vsv\n\t\teta = 1.0\n\n\t#- convert to elastic parameters --------------------------------------------------------------\n\n\trho = 1000.0 * rho\n\tvpv = 1000.0 * vpv\n\tvph = 1000.0 * vph\n\tvsv = 1000.0 * vsv\n\tvsh = 1000.0 * vsh\n\n\tA = rho * vph**2\n\tC = rho * vpv**2\n\tN = rho * vsh**2\n\tL = rho * vsv**2\n\tF = eta * (A - 2 * L)\n\n\treturn rho, A, C, F, L, N","def abcmodel(S: float, P: float, parameters: Dict = PARAMETERS) -> Tuple[float, float]:\n a = parameters[\"a\"]\n b = parameters[\"b\"]\n c = parameters[\"c\"]\n\n # losses\n L = b * P\n\n # discharge component\n Qf = (1 - a - b) * P\n Qs = c * S\n Q_sim = Qf + Qs\n\n # storage component\n S = S + (a * P) - (c * S)\n\n return Q_sim, S","def model(theta, x):\n\tw, b = theta\n\treturn w * x + b","def predict(design_matrix, coefficients_vector):\n return design_matrix @ coefficients_vector","def el2rv(mu,a,e,i,capom,om,f):\n\n prec = 1.0e-13 #user can change this if more precision needed (just runs slower)\n\n #compute the unit vector\n u = om + f\n xhat = np.cos(u)*np.cos(capom) - np.cos(i)*np.sin(capom)*np.sin(u)\n yhat = np.cos(u)*np.sin(capom) + np.cos(i)*np.cos(capom)*np.sin(u)\n zhat = np.sin(i)*np.sin(u)\n\n #compute the angular momentum vector (unit vector)\n hx = np.sin(capom)*np.sin(i)\n hy = -np.cos(capom)*np.sin(i)\n hz = np.cos(i)\n\n #assuming not parabolic, here the magnitudes of the vectors\n r = a * (1.0 - e*e) / (1.0 + e*np.cos(f))\n h = ( mu*a*(1.0 - e*e) )**0.5\n\n #position vectors\n x = r * xhat\n y = r * yhat\n z = r * zhat\n\n #compute components of vector theta hat\n thx = hy * zhat - hz * yhat\n thy = hz * xhat - hx * zhat\n thz = hx * yhat - hy * xhat\n\n #obtain the velocity vector's components and calculate v\n thdot = h/(r*r)\n rdot = e*mu*np.sin(f)/h\n\n vx = r * thdot * thx + rdot * xhat\n vy = r * thdot * thy + rdot * yhat\n vz = r * thdot * thz + rdot * zhat\n\n return x,y,z","def getModelMatrix(model):\n if model == 'aa':\n return(aa_model)\n elif model == 'ham':\n return(ham_model)\n elif model == 'm1n':\n return(m1n_model)\n elif model == 'hs1f':\n return(hs1f_model)\n elif model == 'hs5f':\n return(hs5f_model)\n else:\n sys.stderr.write('Unrecognized distance model: %s.\\n' % model)","def model(self):\n return _model_from_quantity(self._sliced_components, mesh=self.mesh)","def continuous_model():\n return {\"x\": np.random.beta(2, 5, size=100), \"y\": np.random.beta(2, 5, size=100)}","def onBase():\n return (vector(1, 0, 0), vector(0, 1, 0), vector(0, 0, 1))","def v_abc(self, a, b, c):\n \n # The 'unitcell' coordinate system assumes:\n # a-axis lies along x-axis\n # b-axis is in x-y plane\n # c-axis is vertical (or at a tilt, depending on beta)\n \n # Convert from (unitcell) Cartesian to (unitcell) fractional coordinates\n reduced_volume = sqrt( 1 - (cos(self.alpha))**2 - (cos(self.beta))**2 - (cos(self.gamma))**2 + 2*cos(self.alpha)*cos(self.beta)*cos(self.gamma) )\n #volume = reduced_volume*self.lattice_spacing_a*self.lattice_spacing_b*self.lattice_spacing_c\n av = ( self.lattice_spacing_a , \\\n 0.0 , \\\n 0.0 )\n bv = ( self.lattice_spacing_b*cos(self.gamma) , \\\n self.lattice_spacing_b*sin(self.gamma) , \\\n 0.0 )\n cv = ( self.lattice_spacing_c*cos(self.beta) , \\\n self.lattice_spacing_c*( cos(self.alpha) - cos(self.beta)*cos(self.gamma) )/( sin(self.gamma) ) , \\\n self.lattice_spacing_c*reduced_volume/( sin(self.gamma) ) )\n \n v = a*av + b*bv +c *cv\n v_len = sqrt( v[0]**2 + v[1]**2 + v[2]**2 )\n \n return (v_len, v)","def get_vect(word, model, method):\n if method == \"model\":\n try:\n return model.wv[word]\n except KeyError:\n return None\n else:\n try:\n return model[word]\n except KeyError:\n return None","def predict(self, s, a=None):\n features = self.featurize_state(s)\n if a==None:\n return np.array([m.predict([features])[0] for m in self.models])\n else: \n return self.models[a].predict([features])[0]","def Cvec(self):\n return vec(self.xc, self.yc)","def predict(model, x):\n y = model.predict(x)\n print(\"y\")\n print(y)\n return y[0]","def select(self):\n warnings.filterwarnings(\"ignore\", category=DeprecationWarning)\n\n best_bic_score = float(\"inf\")\n best_model = self.base_model(self.n_constant)\n for n in range(self.min_n_components, self.max_n_components + 1):\n try:\n # bic = - 2*log(likelihood) + p*log(N)\n # N is number of data points\n # p => number of parameters\n # p = initial state occupation probabilities\n # + transition probabilities\n # + emission probabilities\n # initial state occupation probabilities, can be obtained from n,\n # as the probabilities add up to 1.0 => initial state occupation probabilities = n - 1\n # transition probabilities => n*(n - 1)\n # emission probabilities => n * num_features * 2 = num_means + num_covar\n # Hence, p = n - 1 + n*(n - 1) + 2* n * num_features\n # p = n*n + 2*n*num_features - 1\n\n model = self.base_model(n)\n log_likelihood = model.score(self.X, self.lengths)\n num_features = len(self.X[0])\n log_n = math.log(self.X.shape[0])\n\n p = n*n + 2*n*num_features - 1\n bic = -2 * log_likelihood + p * log_n\n if bic < best_bic_score:\n best_bic_score = bic\n best_model = model\n except:\n continue\n\n return best_model","def algi(C):\n return np.array([ C[0,2], C[1,2], C[1,0] ])","def _model(self):\n common_scale = self.edp_par['common_scale'].value\n model = self.F_trans() * self.F_cont()\n # get F(h=1,k=0), which is used for normalization \n # common_scale is a common scaling factor => F(h=1,k=0) = 100*common_scale\n F_10 = model[(self.h==1)&(self.k==0)]\n model = model / np.absolute(F_10) * 100 * common_scale\n return model","def get_submodel(self, selected_codes=None, selected_labels=None, reindex=False):\n if selected_codes is None:\n selected_codes = np.arange(self.nr_codes)\n else:\n if len(selected_codes) > self.nr_codes:\n raise ValueError(\"Number of codes are more than number of columns in C\")\n if max(selected_codes) >= self.nr_codes:\n raise ValueError(\n \"selected_codes out of range for C of shape: {}\".format(self.C.shape)\n )\n if selected_labels is None:\n selected_labels = np.arange(self.nr_labels)\n else:\n if len(selected_labels) > self.nr_labels:\n raise ValueError(\"Number of labels are more than number of rows in C\")\n if max(selected_labels) >= self.nr_labels:\n raise ValueError(\n \"selected_labels out of range for C of shape: {}\".format(self.C.shape)\n )\n\n coo = smat_util.get_sparsified_coo(smat.coo_matrix(self.C), selected_labels, selected_codes)\n active_labels = np.sort(np.unique(coo.row))\n active_codes = np.sort(np.unique(coo.col))\n if reindex:\n row_mapping = np.arange(coo.shape[0])\n row_mapping[active_labels] = np.arange(len(active_labels))\n col_mapping = np.arange(coo.shape[1])\n col_mapping[active_codes] = np.arange(len(active_codes))\n new_C = smat.csc_matrix(\n (coo.data, (row_mapping[coo.row], col_mapping[coo.col])),\n shape=(len(active_labels), len(active_codes)),\n )\n new_W = self.W[:, active_labels]\n else:\n new_C = coo.tocsc()\n new_W = smat_util.get_sparsified_coo(\n smat.coo_matrix(self.W),\n np.arange(self.W.shape[0]),\n active_labels,\n ).tocsc()\n return {\n \"model\": MLModel(C=new_C, W=new_W),\n \"active_labels\": active_labels,\n \"active_codes\": active_codes,\n }","def get_model() -> Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray, np.ndarray]:\n\n # %% base matrices\n m_diag = np.array([1000, 1001, 1002, 1003, 1004]) # masses in kg\n m = np.diag(m_diag)\n k0 = 100 * np.array([8000, 7000, 7000, 7000, 7000])\n n_dof = 5\n\n # %% stiffness matrix\n k_raw = np.zeros((6, 6))\n elem_matrix = np.array([[1, -1], [-1, 1]])\n\n for idx_element in range(n_dof):\n k_elem = k0[idx_element] * elem_matrix\n k_raw[idx_element: idx_element + 2, idx_element: idx_element + 2] += k_elem\n\n k = k_raw[:-1, :-1]\n\n # %% eigenfrequencies\n eigvals, ms = eigh(k, m)\n omega = np.sqrt(eigvals)\n f = omega / 2 / np.pi\n\n # %% damping\n xi = 0.005\n\n beta = 2 * xi / (omega[0] + omega[1])\n alpha = omega[0] * omega[1] * beta\n\n zeta = alpha / 2 / omega + beta / 2 * omega\n c_damp = alpha * m + beta * k\n\n return m, k, c_damp, f, ms, zeta","def get_model_code():\n\n return \"\"\"\n functions {\n matrix cov_matrix_ard(int N, int D, vector[] x, vector ls, real alpha_sq, int cov_id) {\n matrix[N,N] S;\n real dist_sum;\n real sqrt3;\n real sqrt5;\n sqrt3=sqrt(3.0);\n sqrt5=sqrt(5.0);\n\n // For RBF ARD kernel\n if (cov_id == 1) {\n for(i in 1:(N-1)) {\n for(j in (i+1):N) {\n dist_sum = 0;\n for(d in 1:D) {\n dist_sum = dist_sum + square(x[i][d] - x[j][d]) / square(ls[d]);\n }\n S[i,j] = alpha_sq * exp( -0.5 * dist_sum);\n }\n }\n }\n\n // Fill upper triangle\n for(i in 1:(N-1)) {\n for(j in (i+1):N) {\n S[j,i] = S[i,j];\n }\n }\n\n // Create diagonal\n for(i in 1:N) {\n S[i,i] = alpha_sq;\n }\n\n return S;\n }\n\n matrix distance_matrix_on_vectors(int N, vector[] x) {\n matrix[N, N] distmat;\n for(i in 1:(N-1)) {\n for(j in (i+1):N) {\n distmat[i, j] = square(distance(x[i], x[j]));\n }\n }\n return distmat;\n }\n\n matrix cov_matrix_matern(int N, matrix dist, real ls, real alpha_sq, int cov_id) {\n matrix[N,N] S;\n real dist_ls;\n real sqrt3;\n real sqrt5;\n sqrt3=sqrt(3.0);\n sqrt5=sqrt(5.0);\n\n // For Matern kernel with parameter nu=1/2 (i.e. absolute exponential kernel)\n if (cov_id == 2) {\n for(i in 1:(N-1)) {\n for(j in (i+1):N) {\n dist_ls = fabs(dist[i,j])/square(ls);\n S[i,j] = alpha_sq * exp(-1 * dist_ls);\n }\n }\n }\n\n // For Matern kernel with parameter nu=3/2\n else if (cov_id == 3) {\n for(i in 1:(N-1)) {\n for(j in (i+1):N) {\n dist_ls = fabs(dist[i,j])/ls;\n S[i,j] = alpha_sq * (1 + sqrt3 * dist_ls) * exp(-sqrt3 * dist_ls);\n }\n }\n }\n\n // For Matern kernel with parameter nu=5/2\n else if (cov_id == 4) {\n for(i in 1:(N-1)) {\n for(j in (i+1):N) {\n dist_ls = fabs(dist[i,j])/ls;\n S[i,j] = alpha_sq * (1 + sqrt5 * dist_ls + 5 * pow(dist_ls,2)/3) * exp(-sqrt5 * dist_ls);\n }\n }\n }\n\n // For Matern kernel with parameter nu tending to infinity (i.e. RBF kernel)\n else if (cov_id == 1) {\n for(i in 1:(N-1)) {\n for(j in (i+1):N) {\n dist_ls = fabs(dist[i,j])/ls;\n S[i,j] = alpha_sq * exp( -0.5 * pow(dist_ls, 2) );\n }\n }\n }\n\n // Fill upper triangle\n for(i in 1:(N-1)) {\n for(j in (i+1):N) {\n S[j,i] = S[i,j];\n }\n }\n\n // Create diagonal\n for(i in 1:N) {\n S[i,i] = alpha_sq;\n }\n\n return S;\n }\n\n }\n\n data {\n int<lower=1> D;\n int<lower=1> N;\n vector[D] x[N];\n vector[N] y;\n real<lower=0> ig1;\n real<lower=0> ig2;\n real<lower=0> n1;\n real<lower=0> n2;\n real<lower=0> sigma;\n int kernel_id;\n }\n\n parameters {\n real<lower=0> rho;\n vector<lower=0>[D] rhovec;\n real<lower=0> alpha;\n }\n\n model {\n int cov_id;\n matrix[N, N] cov;\n matrix[N, N] L_cov;\n matrix[N, N] distmat;\n\n // RBF kernel single lengthscale\n if (kernel_id == 1) {\n cov = cov_exp_quad(x, alpha, rho) + diag_matrix(rep_vector(square(sigma), N));\n L_cov = cholesky_decompose(cov);\n rho ~ inv_gamma(ig1, ig2);\n alpha ~ normal(n1, n2);\n y ~ multi_normal_cholesky(rep_vector(0, N), L_cov);\n }\n\n // Matern kernel single lengthscale\n else if (kernel_id >= 2 && kernel_id <= 4) {\n if (kernel_id == 2) { cov_id = 2; }\n if (kernel_id == 3) { cov_id = 3; }\n if (kernel_id == 4) { cov_id = 4; }\n\n distmat = distance_matrix_on_vectors(N, x);\n cov = cov_matrix_matern(N, distmat, rho, square(alpha), cov_id) + diag_matrix(rep_vector(square(sigma), N));\n L_cov = cholesky_decompose(cov);\n rho ~ inv_gamma(ig1, ig2);\n alpha ~ normal(n1, n2);\n y ~ multi_normal_cholesky(rep_vector(0, N), L_cov);\n }\n\n // RBF kernel with ARD (D-dimensional) lengthscale\n else if (kernel_id == 5) {\n cov_id = 1;\n cov = cov_matrix_ard(N, D, x, rhovec, square(alpha), cov_id) + diag_matrix(rep_vector(square(sigma), N));\n L_cov = cholesky_decompose(cov);\n for(d in 1:D) {\n rhovec[d] ~ inv_gamma(ig1, ig2);\n }\n alpha ~ normal(n1, n2);\n y ~ multi_normal_cholesky(rep_vector(0, N), L_cov);\n }\n\n }\n \"\"\"","def get_model_5(parameters):\n # Generate model\n model = svm.LinearSVC(max_iter=100000)\n \n # Return the model\n return model","def model(data_x, parameters):\n return data_x @ parameters","def compute_model(self, A_on_basis_vec_handles, B_on_standard_basis_handles,\n C_on_basis_vecs):\n self.reduce_A(A_on_basis_vec_handles)\n self.reduce_B(B_on_standard_basis_handles)\n self.reduce_C(C_on_basis_vecs)\n return self.A_reduced, self.B_reduced, self.C_reduced","def c(self) -> np.ndarray:\n return self._vector[10:12]","def vector(x, y, z):\n return point_or_vector(x,y,z,0.0)","def mbvector(A, c=sqrt(8 / 3)):\n la = len(A)\n sa = A.size\n if la == sa:\n B = np.array([0.0, 0.0, 0.0])\n a1 = A[0] * np.array([1.0, 0.0])\n a2 = A[1] * np.array([-0.5, 0.5 * sqrt(3)])\n a3 = A[2] * np.array([-0.5, -0.5 * sqrt(3)])\n B[0] = a1[0] + a2[0] + a3[0]\n B[1] = a1[1] + a2[1] + a3[1]\n B[2] = c * A[3]\n else:\n sa = A.shape\n B = np.zeros(shape=(sa[0], 3))\n for i in range(sa[0]):\n B[i, 0] = a1[0] + a2[0] + a3[0]\n B[i, 1] = a1[1] + a2[1] + a3[1]\n B[i, 2] = c * A[i, 3]\n return B","def model(self):\n model = self._table_coords[0].model\n for m2 in self._table_coords[1:]:\n model = model & m2.model\n return model","def get_model(opt, device):\n model = CifarConvNet(hidden_dim=512).to(device)\n if opt.mode == \"SVI\":\n return SVIModel(model)\n return model","def beta_model(r, s0, rc, beta, c):\n return s0 * np.power((1.0+(r/rc)**2), 0.5-3*beta) + c","def get_vertex_fa_model_tc(self, vertex):\n\n # get rsq val for plotting\n r2 = self.pp_fa_est_df[self.pp_fa_est_df.vertex == vertex]['r2'].values[0]\n\n if self.FAmodel_name == 'glm':\n\n vertex_df = self.pp_fa_est_df[self.pp_fa_est_df.vertex == vertex]\n\n ## get DM\n design_matrix, all_regressor_names = self.FAModelObj.get_fa_glm_dm({key: vertex_df[key].values[0] for key in self.FAModelObj.prf_est_keys}, \n nuisances_df = self.confounds_df, bar_keys = ['att_bar', 'unatt_bar'])\n\n ## dot design matrix with betas to get prediction timecourse\n model_arr = design_matrix.T.dot(vertex_df[all_regressor_names].values[0])\n\n\n elif self.FAmodel_name == 'full_stim':\n\n ## transform estimates dataframe into dictionary\n tc_dict = self.pp_fa_est_df[self.pp_fa_est_df.vertex == vertex].to_dict('r')[0]\n\n ## turn parameters and bounds into arrays because of scipy minimize\n # but save dict keys to guarantee order is correct\n parameters_keys = list(tc_dict.keys())\n\n # set parameters and bounds into list, to conform to scipy minimze format\n tc_pars = np.array([tc_dict[key] for key in parameters_keys])\n \n ## get prediction array\n model_arr = self.FAModelObj.get_fit_timecourse(tc_pars, reg_name = 'full_stim', \n bar_keys = ['att_bar', 'unatt_bar'], parameters_keys = parameters_keys)\n \n model_arr = model_arr[0]\n\n return model_arr, r2","def vector(self, x):\n if isinstance(x, tuple):\n index = self.tuple_to_index[x]\n elif isinstance(x, str):\n index = self.string_to_index[x]\n else:\n index = x\n\n return self.vectors[index]","def __getitem__(self, name):\n return np.array(self._vectors[name])","def svm_fit(self, c: float = 1.0):\r\n self.svmModel = SVC(C=c, gamma='auto').fit(self.x, self.y)","def predict(self, input_vector):\r\n inputlayer = self.layers[0]\r\n for i in range(len(inputlayer)):\r\n inputlayer[i].activation = input_vector[i]\r\n\r\n layers = self.layers\r\n output_vector=[]\r\n a=0\r\n #skips input layer\r\n\r\n #i=current layer\r\n for i in range(1,len(layers)):\r\n #j is the node we are on in the layer\r\n for j in range(len(layers[i])):\r\n layers[i][j].compute_activation()\r\n if i==len(layers)-1:\r\n output_vector.append(layers[i][j].activation)\r\n return output_vector","def model_output(model, t, s, i):\n return 0, 0, 0, 0","def predict(self, X, a, b):\n pass","def predict_mat(self):\n mat = self.covs_mat.dot(self.alpha)\n return mat.reshape(self.shape)","def emulator(pca, gp_model, params):\n # Weights prediction\n pred_weights = gp_predict(gp_model, params)\n\n # Inverse PCA (pred_weights * basis + mean)\n reconstructed = pca.inverse_transform(pred_weights)\n return reconstructed","def c_():\r\n c = np.array([[0, 0], [0, 100], [100, 100], [100, 80], [20, 80],\r\n [20, 20], [100, 20], [100, 0], [0, 0]])\r\n return c","def V_fit(x, a, b, c, d, e, f):\n x1 = x[0] # I\n x2 = x[1] # dT\n m = (a * x1 ** 2 + b * x1 + c)\n b = (d * x1 ** 2 + e * x1 + f)\n return m * x2 + b","def param(self,name,i):\n state = self.getstate(name)\n x,C = state.vec,state.cov\n cc = C[i,i]\n if (cc>0.): cc=sqrt(cc)\n xx,cc = x[i],cc\n debug('kfnode.param ',(name,xx,cc))\n return xx,cc","def cpled_model ( x, wavebands, sza, saa, vza, vaa, day, month, do_trans=True ):\n from prosail import run_prosail\n # Invert parameter LAI\n \n if do_trans:\n x = inverse_transform ( x )\n ################# surface refl with prosail #####################\n surf_refl = np.c_[ np.arange(400, 2501)/1000., \\\n run_prosail(x[0], x[1], x[2], x[3], \\\n x[4], x[5], x[6], x[7], 0, x[8], x[9], 0.01, sza, vza, vaa, 2 )]\n ################# Atmospheric modelling with 6s ##################\n o3 = x[-2]\n cwc = x[-1]\n aot = x[-3]\n s, retvals = atcorr ( wavebands, o3, cwc, aot, surf_refl, sza, saa, vza, \\\n vaa, day, month )\n\n ################ Per band coupling ###############################\n refl_toa = []\n for i, sixs_output in enumerate ( retvals ):\n rho_surf = np.interp( wavebands[i], \\\n surf_refl[:,0], surf_refl[:,1])\n refl_toa.append ( to_refltoa ( sixs_output, rho_surf ) )\n return np.array ( refl_toa )","def get_model(self):\n S = [(x,y) for x in range(12) for y in range(9)] # States\n A = self.actions.copy() # Actions\n L = self.objects.copy() # Labeling function\n T = {} # Transitions (s,a) -> s' (they are deterministic)\n for s in S:\n x,y = s\n for a in A:\n T[(s,a)] = self._get_new_position(x,y,a)\n return S,A,L,T # SALT xD","def AsVector(self) -> ngsolve.la.BaseVector:","def cvector(rvector):\n \n if(rvector is None):\n return rvector\n elif(isinstance(rvector,list)):\n return np.array([np.array(rvector)]).T\n elif(rvector.shape==(3,1)):\n return rvector\n elif(rvector.shape==(3,)):\n return np.array([np.array(rvector)]).T\n\n print(rvector.shape)\n print('wooooooops')","def select(self):\n warnings.filterwarnings(\"ignore\", category=DeprecationWarning)\n\n bic_models = map(lambda x: self.run_bic_model(x),\n range(self.min_n_components, self.max_n_components + 1))\n valid_models = [x for x in bic_models if x is not None]\n\n if len(valid_models) > 0:\n best_model = sorted(valid_models, key=lambda x: x[1])[0]\n return best_model[0]\n else:\n return None","def _gv_linear(self, r, t):\n mv1t = torch.matmul(self.mv1.weight, t.T) # [k, b]\n mv2r = torch.matmul(self.mv2.weight, r.T) # [k, b]\n return (mv1t + mv2r + self.bv.weight).T # [b, k]","def get_cl(self, re, aa):\r\n return Turbine.v_fCL(re, np.degrees(aa))","def predict_viterbi(self, tokens: TokenSeq) -> Tuple[NDArray, NDArray, PosSeq]:","def normalize(self, c=0):\n from scipy.sparse import dia_matrix\n c = int(c)\n if not c in [0, 1, 2]:\n raise ValueError('c must be equal to 0, 1 or 2')\n\n if self.E == 0:\n if c < 2:\n return np.zeros(self.V)\n else:\n return np.zeros(self.V), np.zeros(self.V)\n adj = self.to_coo_matrix().tocsr()\n s1 = adj.sum(0)\n s2 = adj.sum(1)\n if c == 1:\n s = dia_matrix((1. / s1, 0), shape=(self.V, self.V))\n adj = adj * s\n self.weights = wgraph_from_adjacency(adj).get_weights()\n return np.asarray(s1)\n if c == 0:\n s = dia_matrix((1. / s2.T, 0), shape=(self.V, self.V))\n adj = s * adj\n self.weights = wgraph_from_adjacency(adj).get_weights()\n return np.asarray(s2)\n if c == 2:\n s1 = dia_matrix((1. / np.sqrt(s1), 0),\n shape=(self.V, self.V))\n s2 = dia_matrix((1. / np.sqrt(adj.sum(1)), 0),\n shape=(self.V, self.V))\n adj = (s1 * adj) * s2\n self.weights = wgraph_from_adjacency(adj).get_weights()\n return np.asarray(s1), np.asarray(s2)","def predict(self):\n for src_p, pair in enumerate(self.pairs):\n dst_p = pair[1].argmax()\n dst_ind = pair[0][dst_p]\n\n self.vector_field.append(np.hstack([self.frame_0[src_p], self.frame_1[dst_ind]]))\n\n self.vector_field = np.vstack(self.vector_field)\n\n return self.vector_field","def model(self):\n return _model_from_quantity(self.table, self.mesh)","def parallelized_modelling(name, dico_aligns):\n ev_threading = sc.Modeller(dico_aligns[name])\n return (name, ev_threading.modelled())","def retraction(self, v, x, c):\n c = self.truncate_c(c)\n new_v = self.expmap(v, x, c)\n return self.proj(new_v, c)","def model(self, model_num = 0):\n return self.struct[model_num]","def predict_mat(self):\n return self.u.dot(self.v.T)","def model_predict(self, X):\n return self.cmodel.predict(X=X)","def predict(self, xs, **kwargs):","def build_model():","def lca(self, v, w):","def call_single_vec(self, input_value):\n _, eigVectors = self.getEigen(input_value)\n return eigVectors[:,:,-1]","def build_model(self, X: pd.DataFrame, y: pd.DataFrame = None) -> pm.Model:\n idx = X.index\n \n if y is None:\n y = pd.Series(0, index=idx)\n elif self.oversample: # only if y is given\n n_pos = (y == 1).sum()\n n_neg = (y == 0).sum()\n to_add = int(np.ceil(n_neg/n_pos) - 1)\n # print(n_pos, n_neg, to_add)\n if to_add > 4:\n to_add = 4\n for i in range(to_add):\n idx = idx.append(y[y==1].index)\n X = X.loc[idx]\n y = y.loc[idx]\n \n A = X[self.v_known + self.v_oob_bio]\n B_vals = X[self.v_fuzzy]\n B_mask = (B_vals == -1).astype(int)\n C_raw = X[self.v_float_adm + self.v_float_bio]\n # C_scaled = (C_raw - self.C_mean_) / self.C_std_ \n C_scaled = np.log1p(C_raw/self.C_mean_)\n C_scaled[~np.isfinite(C_scaled)] = np.nan\n C_vals = C_scaled.fillna(0)\n C_mask = C_scaled.isnull().astype(int)\n \n coords = {\"idx\": idx, \"a\": A.columns, \"b\": B_vals.columns, \"c\": C_vals.columns}\n with pm.Model(coords=coords) as m:\n pm.Data(\"A\", A, dims=[\"idx\", \"a\"])\n pm.Data(\"B_vals\", B_vals, dims=[\"idx\", \"b\"])\n pm.Data(\"B_mask\", B_mask, dims=[\"idx\", \"b\"])\n pm.Data(\"C_vals\", C_vals, dims=[\"idx\", \"c\"])\n pm.Data(\"C_mask\", C_mask, dims=[\"idx\", \"c\"])\n pm.Data(\"y\", y, dims=[\"idx\"])\n\n pm.Normal(\"avg\", mu=0, sd=1)\n\n pm.Beta(\"h_a_incl\", alpha=1, beta=4)\n pm.Normal(\"a_coef_raw\", mu=0, sd=1, dims=[\"a\"])\n pm.Bernoulli(\"a_incl\", p=m[\"h_a_incl\"], dims=[\"a\"])\n pm.Deterministic(\"a_coef\", m['a_coef_raw'] * m['a_incl'], dims=[\"a\"])\n \n pm.Normal(\"b_vals_coef\", mu=0, sd=1, dims=[\"b\"])\n pm.Normal(\"b_mask_coef_raw\", mu=0, sd=1, dims=[\"b\"])\n pm.Beta(\"h_b_mask_incl\", alpha=1, beta=4)\n pm.Bernoulli(\"b_mask_incl\", p=m[\"h_b_mask_incl\"], dims=[\"b\"])\n pm.Deterministic(\"b_mask_coef\", m['b_mask_coef_raw'] * m['b_mask_incl'], dims=[\"b\"])\n \n pm.Normal(\"c_vals_coef\", mu=0, sd=1, dims=[\"c\"])\n pm.Normal(\"c_mask_coef_raw\", mu=0, sd=1, dims=[\"c\"])\n pm.Beta(\"h_c_mask_incl\", alpha=1, beta=4)\n pm.Bernoulli(\"c_mask_incl\", p=m[\"h_c_mask_incl\"], dims=[\"c\"])\n pm.Deterministic(\"c_mask_coef\", m['c_mask_coef_raw'] * m['c_mask_incl'], dims=[\"c\"])\n unprob = pm.Deterministic(\n \"logit\",\n m['avg']\n + tt.dot(m[\"A\"], m[\"a_coef\"])\n + tt.dot(m[\"B_vals\"] * (1 - m['B_mask']), m[\"b_vals_coef\"])\n + tt.dot(m[\"B_mask\"], m[\"b_mask_coef\"])\n + tt.dot(m[\"C_vals\"] * (1 - m['C_mask']), m[\"c_vals_coef\"])\n + tt.dot(m[\"C_mask\"], m[\"c_mask_coef\"])\n )\n pm.Bernoulli(\"y_pred\", p = tt.nnet.sigmoid(unprob), dims=['idx'], observed=m['y'])\n\n m.graph = pm.model_to_graphviz()\n\n return m","def getVector(c1, c2):\n return [c1[0] - c2[0], c1[1] - c2[1], c1[2] - c2[2]]","def get_model():\n model = ecole.scip.Model.from_file(str(DATA_DIR / \"bppc8-02.mps\"))\n model.disable_cuts()\n model.disable_presolve()\n model.set_param(\"randomization/permuteconss\", True)\n model.set_param(\"randomization/permutevars\", True)\n model.set_param(\"randomization/permutationseed\", 784)\n model.set_param(\"randomization/randomseedshift\", 784)\n model.set_param(\"randomization/lpseed\", 784)\n return model","def __call__(self): \n m = np.zeros((len(self.observation),))\n k = np.zeros((len(self.observation), len(self.prior)))\n \n sv = self.stateVector\n m = sv[0] * np.exp(-(self.independentVariable/sv[1])) + sv[2]\n \n k[:, 0] = np.exp(-(self.independentVariable/sv[1]))\n k[:, 1] = (sv[0] * self.independentVariable * \n np.exp(-(self.independentVariable/sv[1]))/(sv[1])**2)\n k[:, 2] = np.ones((len(self.observation),))\n \n self.modelCalculation, self.Jacobian = m, k\n \n return m, k"],"string":"[\n \"def recognition_model(self, x, c):\\n x = self.encoder(x)\\n c = self.conditional(c)\\n temp = self.recog_head(x + c)\\n mu = self.mu(temp)\\n logvar = self.logvar(temp)\\n return mu, logvar\",\n \"def recognition_model(self, x, c):\\n x = self.encoder(x)\\n c = self.conditional(c)\\n temp = self.recog_head(x + c)\\n mu = self.mu(temp)\\n logvar = self.logvar(temp)\\n return mu, logvar\",\n \"def model(a, t, D, m):\\n xprime = a[1] # x' = v\\n vprime = -D*a[0]/m # v' = -D*x/m\\n return [xprime, vprime]\",\n \"def compute_similarities_from_vec(self, dataset, a):\\n self.model.fit(dataset.X, a)\\n return self.model.coef_\",\n \"def _get_obj(self, weights, alpha_vector):\\r\\n assert (len(alpha_vector.columns) == 1)\\r\\n return cvx.Minimize(-alpha_vector.T.values[0]*weights)\",\n \"def _get_obj(self, weights, alpha_vector):\\r\\n assert (len(alpha_vector.columns) == 1)\\r\\n\\r\\n return cvx.Minimize(-alpha_vector.T.values[0] * weights + self.lambda_reg * cvx.pnorm(weights, 2))\",\n \"def getModel(self):\\n m,n = self.m,self.n\\n A = np.zeros((m,m))\\n B = np.zeros((m,n))\\n C = np.zeros(m)\\n Apattern,Bpattern,Cpattern = self.coeffPattern\\n for i,e in enumerate(self.estimators):\\n aofs = 0\\n bofs = m\\n cofs = m+n\\n if Apattern==None:\\n ai = e.x[aofs:m+aofs]\\n else:\\n bofs=aofs\\n ai = []\\n for j,pj in enumerate(Apattern[i]):\\n if pj == None:\\n ai.append(e.x[bofs])\\n bofs += 1\\n else:\\n ai.append(pj)\\n if Bpattern==None:\\n bi = e.x[bofs:n+bofs]\\n else:\\n cofs=bofs\\n bi = []\\n for j,pj in enumerate(Bpattern[i]):\\n if pj == None:\\n bi.append(e.x[cofs])\\n cofs += 1\\n else:\\n bi.append(pj)\\n if Cpattern==None:\\n ci = e.x[cofs]\\n cofs+=1\\n else:\\n if Cpattern[i] == None:\\n ci = e.x[cofs]\\n cofs+=1\\n else:\\n ci = Cpattern[i]\\n assert(cofs == e.n)\\n assert len(ai)==m\\n assert len(bi)==n\\n A[i,:] = ai\\n B[i,:] = bi\\n C[i] = ci\\n return (A,B,C)\",\n \"def get_model_4(parameters):\\n # Generate model\\n model = svm.SVC(C=parameters['C'], gamma='scale', probability=True,\\n class_weight='balanced',\\n decision_function_shape='ovr')\\n \\n # Return the model\\n return model\",\n \"def get_vector(word, model):\\n return model.wv[word]\",\n \"def select(self):\\n\\t\\tbest_num_components = self.n_constant\\n\\t\\treturn self.base_model(best_num_components)\",\n \"def _get_obj(self, weights, alpha_vector):\\r\\n assert (len(alpha_vector.columns) == 1)\\r\\n\\r\\n # TODO: Implement function\\r\\n alpha_vec_vals = alpha_vector.values[:, 0]\\r\\n x_star = (alpha_vec_vals - np.mean(alpha_vec_vals)) / sum(abs(alpha_vec_vals))\\r\\n return cvx.Minimize(cvx.pnorm(weights - x_star, 2))\",\n \"def model(self):\\n return numpy.array([\\n [self.x1, self.y1],\\n [self.x2, self.y2],\\n [self.x3, self.x3]\\n ])\",\n \"def generation_model(self, z, c): # P(x|z, c)\\n z_c = torch.cat((z, c), dim=1)\\n x_hat = self.decoder(z_c)\\n return x_hat\",\n \"def generation_model(self, z, c): # P(x|z, c)\\n z_c = torch.cat((z, c), dim=1)\\n x_hat = self.decoder(z_c)\\n return x_hat\",\n \"def _generate_retrieval_model(self):\\n real_vecs = self._item_vector['vec'].values.tolist()\\n item_vector_array = np.array(real_vecs)\\n item_vector_array = ContentBasedAlgo._vector_normalize(item_vector_array.astype('float32'))\\n retrieval_model = faiss.IndexFlatIP(self._dimension)\\n retrieval_model.add(item_vector_array)\\n return retrieval_model\",\n \"def predict_for_customers(self,):\\n return self.user_vectors.dot(self.item_vectors.T)\",\n \"def mvector(B, c):\\n # for Sun Mg Potential: c=1.6281689374348\\n A = np.zeros(shape=4)\\n A[0] = (2 / 3) * B[0]\\n A[1] = 0.5 * ((2 / sqrt(3)) * B[1] - A[0])\\n A[2] = -A[0] - A[1]\\n A[3] = B[2] / c\\n return A\",\n \"def find_a_b(v_star, u_star, C):\\n # test values (C = 1)\\n alpha, v, u = get_convex_combination(v_star, u_star, C)\\n i = np.argmax(alpha)\\n b = v[i]\\n # j = argmax(alpha*|v - b|)\\n vb = v - b\\n j = np.argmax(np.multiply(alpha,\\n np.sqrt(vb[:,0]**2 + vb[:,1]**2)))\\n a = v[j]\\n alpha_j = alpha[j]\\n\\n return a, b, alpha_j\",\n \"def modeling(matrix):\\n cv = CountVectorizer()\\n cv_fit = cv.fit_transform(matrix)\\n return cv, cv_fit\",\n \"def cas2vec_model(config):\\n input_layer, embedding_layer = build_cnn_input(config)\\n\\n fcc_layer = build_cnn_layer(embedding_layer, config)\\n cascade_embedding_layer, prediction_layer = build_mlp(fcc_layer, config)\\n model = tf.keras.models.Model(\\n inputs=input_layer, outputs=prediction_layer)\\n cascade_embedding_predictor = tf.keras.models.Model(\\n inputs=input_layer, outputs=cascade_embedding_layer)\\n\\n model.compile(\\n optimizer=tf.train.AdamOptimizer(config['learning_rate']),\\n loss='binary_crossentropy', metrics=config['metrics'])\\n\\n return {\\n 'model': model,\\n 'cascade_embedding_predictor':cascade_embedding_predictor\\n }\",\n \"def select(self):\\n best_num_components = self.n_constant\\n return self.base_model(best_num_components)\",\n \"def select(self):\\n best_num_components = self.n_constant\\n return self.base_model(best_num_components)\",\n \"def select(self):\\n best_num_components = self.n_constant\\n return self.base_model(best_num_components)\",\n \"def select(self):\\n best_num_components = self.n_constant\\n return self.base_model(best_num_components)\",\n \"def select(self):\\n best_num_components = self.n_constant\\n return self.base_model(best_num_components)\",\n \"def select(self):\\n best_num_components = self.n_constant\\n return self.base_model(best_num_components)\",\n \"def select(self):\\n best_num_components = self.n_constant\\n return self.base_model(best_num_components)\",\n \"def select(self):\\n best_num_components = self.n_constant\\n return self.base_model(best_num_components)\",\n \"def select(self):\\n best_num_components = self.n_constant\\n return self.base_model(best_num_components)\",\n \"def svc_model(params):\\n\\n if (params['random']):\\n params['C'] = random.randrange(1, 13, step=1) * 0.1\\n params['degree'] = random.choice([2, 3, 4, 5])\\n params['kernel'] = random.choice(['linear', 'rbf', 'poly', 'sigmoid'])\\n \\n model = svm.SVC(\\n decision_function_shape='ovo',\\n C=params['C'],\\n degree=params['degree'],\\n kernel=params['kernel']\\n )\\n\\n return model\",\n \"def apply_model(data, ids):\\n similar_vectors = load_model(data, ids)\\n return similar_vectors\",\n \"def spatial_database():\\n return UniformVelModel()\",\n \"def svm():\",\n \"def get_bar_vector(model, elem, node1, node2, xyz1):\\n cd1 = node1.Cd()\\n cd2 = node2.Cd()\\n if model is None:\\n cd1_ref = node1.cd_ref\\n cd2_ref = node2.cd_ref\\n\\n # get the vector v, which defines the projection on to the elemental\\n # coordinate frame\\n if elem.g0:\\n #msg = 'which is required by %s eid=%s\\\\n%s' % (elem.type, elem.g0, str(elem))\\n g0_ref = elem.g0_ref\\n n0 = g0_ref.get_position()\\n v = n0 - xyz1\\n else:\\n v = cd1_ref.transform_node_to_global(elem.x)\\n\\n else:\\n msg = ', which is required by %s=%s' % (elem.type, elem.eid)\\n cd1_ref = model.Coord(cd1)\\n cd2_ref = model.Coord(cd2)\\n\\n # get the vector v, which defines the projection on to the elemental\\n # coordinate frame\\n if elem.g0:\\n #msg = 'which is required by %s eid=%s\\\\n%s' % (elem.type, elem.g0, str(elem))\\n g0_ref = model.Node(elem.g0, msg=msg)\\n n0 = g0_ref.get_position()\\n v = n0 - xyz1\\n else:\\n v = cd1_ref.transform_node_to_global(elem.x)\\n cd1_ref = model.Coord(cd1)\\n cd2_ref = model.Coord(cd2)\\n\\n return v, cd1, cd1_ref, cd2, cd2_ref\",\n \"def predict(self, input_vec):\\n return self.model.predict(input_vec)\",\n \"def model_onelayer(r):\\n\\n\\t#- march through the various depth levels -----------------------------------------------------\\n\\n\\tif (r > 6361000.0):\\n\\t\\trho = 2.7\\n\\t\\tvpv = 5.8\\n\\t\\tvph = vpv\\n\\t\\tvsv = 2.0\\n\\t\\tvsh = vsv\\n\\t\\teta = 1.0\\n\\n\\telse:\\n\\t\\trho = 3.1\\n\\t\\tvpv = 7.8\\n\\t\\tvph = vpv\\n\\t\\tvsv = 3.0\\n\\t\\tvsh = vsv\\n\\t\\teta = 1.0\\n\\n\\t#- convert to elastic parameters --------------------------------------------------------------\\n\\n\\trho = 1000.0 * rho\\n\\tvpv = 1000.0 * vpv\\n\\tvph = 1000.0 * vph\\n\\tvsv = 1000.0 * vsv\\n\\tvsh = 1000.0 * vsh\\n\\n\\tA = rho * vph**2\\n\\tC = rho * vpv**2\\n\\tN = rho * vsh**2\\n\\tL = rho * vsv**2\\n\\tF = eta * (A - 2 * L)\\n\\n\\treturn rho, A, C, F, L, N\",\n \"def abcmodel(S: float, P: float, parameters: Dict = PARAMETERS) -> Tuple[float, float]:\\n a = parameters[\\\"a\\\"]\\n b = parameters[\\\"b\\\"]\\n c = parameters[\\\"c\\\"]\\n\\n # losses\\n L = b * P\\n\\n # discharge component\\n Qf = (1 - a - b) * P\\n Qs = c * S\\n Q_sim = Qf + Qs\\n\\n # storage component\\n S = S + (a * P) - (c * S)\\n\\n return Q_sim, S\",\n \"def model(theta, x):\\n\\tw, b = theta\\n\\treturn w * x + b\",\n \"def predict(design_matrix, coefficients_vector):\\n return design_matrix @ coefficients_vector\",\n \"def el2rv(mu,a,e,i,capom,om,f):\\n\\n prec = 1.0e-13 #user can change this if more precision needed (just runs slower)\\n\\n #compute the unit vector\\n u = om + f\\n xhat = np.cos(u)*np.cos(capom) - np.cos(i)*np.sin(capom)*np.sin(u)\\n yhat = np.cos(u)*np.sin(capom) + np.cos(i)*np.cos(capom)*np.sin(u)\\n zhat = np.sin(i)*np.sin(u)\\n\\n #compute the angular momentum vector (unit vector)\\n hx = np.sin(capom)*np.sin(i)\\n hy = -np.cos(capom)*np.sin(i)\\n hz = np.cos(i)\\n\\n #assuming not parabolic, here the magnitudes of the vectors\\n r = a * (1.0 - e*e) / (1.0 + e*np.cos(f))\\n h = ( mu*a*(1.0 - e*e) )**0.5\\n\\n #position vectors\\n x = r * xhat\\n y = r * yhat\\n z = r * zhat\\n\\n #compute components of vector theta hat\\n thx = hy * zhat - hz * yhat\\n thy = hz * xhat - hx * zhat\\n thz = hx * yhat - hy * xhat\\n\\n #obtain the velocity vector's components and calculate v\\n thdot = h/(r*r)\\n rdot = e*mu*np.sin(f)/h\\n\\n vx = r * thdot * thx + rdot * xhat\\n vy = r * thdot * thy + rdot * yhat\\n vz = r * thdot * thz + rdot * zhat\\n\\n return x,y,z\",\n \"def getModelMatrix(model):\\n if model == 'aa':\\n return(aa_model)\\n elif model == 'ham':\\n return(ham_model)\\n elif model == 'm1n':\\n return(m1n_model)\\n elif model == 'hs1f':\\n return(hs1f_model)\\n elif model == 'hs5f':\\n return(hs5f_model)\\n else:\\n sys.stderr.write('Unrecognized distance model: %s.\\\\n' % model)\",\n \"def model(self):\\n return _model_from_quantity(self._sliced_components, mesh=self.mesh)\",\n \"def continuous_model():\\n return {\\\"x\\\": np.random.beta(2, 5, size=100), \\\"y\\\": np.random.beta(2, 5, size=100)}\",\n \"def onBase():\\n return (vector(1, 0, 0), vector(0, 1, 0), vector(0, 0, 1))\",\n \"def v_abc(self, a, b, c):\\n \\n # The 'unitcell' coordinate system assumes:\\n # a-axis lies along x-axis\\n # b-axis is in x-y plane\\n # c-axis is vertical (or at a tilt, depending on beta)\\n \\n # Convert from (unitcell) Cartesian to (unitcell) fractional coordinates\\n reduced_volume = sqrt( 1 - (cos(self.alpha))**2 - (cos(self.beta))**2 - (cos(self.gamma))**2 + 2*cos(self.alpha)*cos(self.beta)*cos(self.gamma) )\\n #volume = reduced_volume*self.lattice_spacing_a*self.lattice_spacing_b*self.lattice_spacing_c\\n av = ( self.lattice_spacing_a , \\\\\\n 0.0 , \\\\\\n 0.0 )\\n bv = ( self.lattice_spacing_b*cos(self.gamma) , \\\\\\n self.lattice_spacing_b*sin(self.gamma) , \\\\\\n 0.0 )\\n cv = ( self.lattice_spacing_c*cos(self.beta) , \\\\\\n self.lattice_spacing_c*( cos(self.alpha) - cos(self.beta)*cos(self.gamma) )/( sin(self.gamma) ) , \\\\\\n self.lattice_spacing_c*reduced_volume/( sin(self.gamma) ) )\\n \\n v = a*av + b*bv +c *cv\\n v_len = sqrt( v[0]**2 + v[1]**2 + v[2]**2 )\\n \\n return (v_len, v)\",\n \"def get_vect(word, model, method):\\n if method == \\\"model\\\":\\n try:\\n return model.wv[word]\\n except KeyError:\\n return None\\n else:\\n try:\\n return model[word]\\n except KeyError:\\n return None\",\n \"def predict(self, s, a=None):\\n features = self.featurize_state(s)\\n if a==None:\\n return np.array([m.predict([features])[0] for m in self.models])\\n else: \\n return self.models[a].predict([features])[0]\",\n \"def Cvec(self):\\n return vec(self.xc, self.yc)\",\n \"def predict(model, x):\\n y = model.predict(x)\\n print(\\\"y\\\")\\n print(y)\\n return y[0]\",\n \"def select(self):\\n warnings.filterwarnings(\\\"ignore\\\", category=DeprecationWarning)\\n\\n best_bic_score = float(\\\"inf\\\")\\n best_model = self.base_model(self.n_constant)\\n for n in range(self.min_n_components, self.max_n_components + 1):\\n try:\\n # bic = - 2*log(likelihood) + p*log(N)\\n # N is number of data points\\n # p => number of parameters\\n # p = initial state occupation probabilities\\n # + transition probabilities\\n # + emission probabilities\\n # initial state occupation probabilities, can be obtained from n,\\n # as the probabilities add up to 1.0 => initial state occupation probabilities = n - 1\\n # transition probabilities => n*(n - 1)\\n # emission probabilities => n * num_features * 2 = num_means + num_covar\\n # Hence, p = n - 1 + n*(n - 1) + 2* n * num_features\\n # p = n*n + 2*n*num_features - 1\\n\\n model = self.base_model(n)\\n log_likelihood = model.score(self.X, self.lengths)\\n num_features = len(self.X[0])\\n log_n = math.log(self.X.shape[0])\\n\\n p = n*n + 2*n*num_features - 1\\n bic = -2 * log_likelihood + p * log_n\\n if bic < best_bic_score:\\n best_bic_score = bic\\n best_model = model\\n except:\\n continue\\n\\n return best_model\",\n \"def algi(C):\\n return np.array([ C[0,2], C[1,2], C[1,0] ])\",\n \"def _model(self):\\n common_scale = self.edp_par['common_scale'].value\\n model = self.F_trans() * self.F_cont()\\n # get F(h=1,k=0), which is used for normalization \\n # common_scale is a common scaling factor => F(h=1,k=0) = 100*common_scale\\n F_10 = model[(self.h==1)&(self.k==0)]\\n model = model / np.absolute(F_10) * 100 * common_scale\\n return model\",\n \"def get_submodel(self, selected_codes=None, selected_labels=None, reindex=False):\\n if selected_codes is None:\\n selected_codes = np.arange(self.nr_codes)\\n else:\\n if len(selected_codes) > self.nr_codes:\\n raise ValueError(\\\"Number of codes are more than number of columns in C\\\")\\n if max(selected_codes) >= self.nr_codes:\\n raise ValueError(\\n \\\"selected_codes out of range for C of shape: {}\\\".format(self.C.shape)\\n )\\n if selected_labels is None:\\n selected_labels = np.arange(self.nr_labels)\\n else:\\n if len(selected_labels) > self.nr_labels:\\n raise ValueError(\\\"Number of labels are more than number of rows in C\\\")\\n if max(selected_labels) >= self.nr_labels:\\n raise ValueError(\\n \\\"selected_labels out of range for C of shape: {}\\\".format(self.C.shape)\\n )\\n\\n coo = smat_util.get_sparsified_coo(smat.coo_matrix(self.C), selected_labels, selected_codes)\\n active_labels = np.sort(np.unique(coo.row))\\n active_codes = np.sort(np.unique(coo.col))\\n if reindex:\\n row_mapping = np.arange(coo.shape[0])\\n row_mapping[active_labels] = np.arange(len(active_labels))\\n col_mapping = np.arange(coo.shape[1])\\n col_mapping[active_codes] = np.arange(len(active_codes))\\n new_C = smat.csc_matrix(\\n (coo.data, (row_mapping[coo.row], col_mapping[coo.col])),\\n shape=(len(active_labels), len(active_codes)),\\n )\\n new_W = self.W[:, active_labels]\\n else:\\n new_C = coo.tocsc()\\n new_W = smat_util.get_sparsified_coo(\\n smat.coo_matrix(self.W),\\n np.arange(self.W.shape[0]),\\n active_labels,\\n ).tocsc()\\n return {\\n \\\"model\\\": MLModel(C=new_C, W=new_W),\\n \\\"active_labels\\\": active_labels,\\n \\\"active_codes\\\": active_codes,\\n }\",\n \"def get_model() -> Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray, np.ndarray]:\\n\\n # %% base matrices\\n m_diag = np.array([1000, 1001, 1002, 1003, 1004]) # masses in kg\\n m = np.diag(m_diag)\\n k0 = 100 * np.array([8000, 7000, 7000, 7000, 7000])\\n n_dof = 5\\n\\n # %% stiffness matrix\\n k_raw = np.zeros((6, 6))\\n elem_matrix = np.array([[1, -1], [-1, 1]])\\n\\n for idx_element in range(n_dof):\\n k_elem = k0[idx_element] * elem_matrix\\n k_raw[idx_element: idx_element + 2, idx_element: idx_element + 2] += k_elem\\n\\n k = k_raw[:-1, :-1]\\n\\n # %% eigenfrequencies\\n eigvals, ms = eigh(k, m)\\n omega = np.sqrt(eigvals)\\n f = omega / 2 / np.pi\\n\\n # %% damping\\n xi = 0.005\\n\\n beta = 2 * xi / (omega[0] + omega[1])\\n alpha = omega[0] * omega[1] * beta\\n\\n zeta = alpha / 2 / omega + beta / 2 * omega\\n c_damp = alpha * m + beta * k\\n\\n return m, k, c_damp, f, ms, zeta\",\n \"def get_model_code():\\n\\n return \\\"\\\"\\\"\\n functions {\\n matrix cov_matrix_ard(int N, int D, vector[] x, vector ls, real alpha_sq, int cov_id) {\\n matrix[N,N] S;\\n real dist_sum;\\n real sqrt3;\\n real sqrt5;\\n sqrt3=sqrt(3.0);\\n sqrt5=sqrt(5.0);\\n\\n // For RBF ARD kernel\\n if (cov_id == 1) {\\n for(i in 1:(N-1)) {\\n for(j in (i+1):N) {\\n dist_sum = 0;\\n for(d in 1:D) {\\n dist_sum = dist_sum + square(x[i][d] - x[j][d]) / square(ls[d]);\\n }\\n S[i,j] = alpha_sq * exp( -0.5 * dist_sum);\\n }\\n }\\n }\\n\\n // Fill upper triangle\\n for(i in 1:(N-1)) {\\n for(j in (i+1):N) {\\n S[j,i] = S[i,j];\\n }\\n }\\n\\n // Create diagonal\\n for(i in 1:N) {\\n S[i,i] = alpha_sq;\\n }\\n\\n return S;\\n }\\n\\n matrix distance_matrix_on_vectors(int N, vector[] x) {\\n matrix[N, N] distmat;\\n for(i in 1:(N-1)) {\\n for(j in (i+1):N) {\\n distmat[i, j] = square(distance(x[i], x[j]));\\n }\\n }\\n return distmat;\\n }\\n\\n matrix cov_matrix_matern(int N, matrix dist, real ls, real alpha_sq, int cov_id) {\\n matrix[N,N] S;\\n real dist_ls;\\n real sqrt3;\\n real sqrt5;\\n sqrt3=sqrt(3.0);\\n sqrt5=sqrt(5.0);\\n\\n // For Matern kernel with parameter nu=1/2 (i.e. absolute exponential kernel)\\n if (cov_id == 2) {\\n for(i in 1:(N-1)) {\\n for(j in (i+1):N) {\\n dist_ls = fabs(dist[i,j])/square(ls);\\n S[i,j] = alpha_sq * exp(-1 * dist_ls);\\n }\\n }\\n }\\n\\n // For Matern kernel with parameter nu=3/2\\n else if (cov_id == 3) {\\n for(i in 1:(N-1)) {\\n for(j in (i+1):N) {\\n dist_ls = fabs(dist[i,j])/ls;\\n S[i,j] = alpha_sq * (1 + sqrt3 * dist_ls) * exp(-sqrt3 * dist_ls);\\n }\\n }\\n }\\n\\n // For Matern kernel with parameter nu=5/2\\n else if (cov_id == 4) {\\n for(i in 1:(N-1)) {\\n for(j in (i+1):N) {\\n dist_ls = fabs(dist[i,j])/ls;\\n S[i,j] = alpha_sq * (1 + sqrt5 * dist_ls + 5 * pow(dist_ls,2)/3) * exp(-sqrt5 * dist_ls);\\n }\\n }\\n }\\n\\n // For Matern kernel with parameter nu tending to infinity (i.e. RBF kernel)\\n else if (cov_id == 1) {\\n for(i in 1:(N-1)) {\\n for(j in (i+1):N) {\\n dist_ls = fabs(dist[i,j])/ls;\\n S[i,j] = alpha_sq * exp( -0.5 * pow(dist_ls, 2) );\\n }\\n }\\n }\\n\\n // Fill upper triangle\\n for(i in 1:(N-1)) {\\n for(j in (i+1):N) {\\n S[j,i] = S[i,j];\\n }\\n }\\n\\n // Create diagonal\\n for(i in 1:N) {\\n S[i,i] = alpha_sq;\\n }\\n\\n return S;\\n }\\n\\n }\\n\\n data {\\n int<lower=1> D;\\n int<lower=1> N;\\n vector[D] x[N];\\n vector[N] y;\\n real<lower=0> ig1;\\n real<lower=0> ig2;\\n real<lower=0> n1;\\n real<lower=0> n2;\\n real<lower=0> sigma;\\n int kernel_id;\\n }\\n\\n parameters {\\n real<lower=0> rho;\\n vector<lower=0>[D] rhovec;\\n real<lower=0> alpha;\\n }\\n\\n model {\\n int cov_id;\\n matrix[N, N] cov;\\n matrix[N, N] L_cov;\\n matrix[N, N] distmat;\\n\\n // RBF kernel single lengthscale\\n if (kernel_id == 1) {\\n cov = cov_exp_quad(x, alpha, rho) + diag_matrix(rep_vector(square(sigma), N));\\n L_cov = cholesky_decompose(cov);\\n rho ~ inv_gamma(ig1, ig2);\\n alpha ~ normal(n1, n2);\\n y ~ multi_normal_cholesky(rep_vector(0, N), L_cov);\\n }\\n\\n // Matern kernel single lengthscale\\n else if (kernel_id >= 2 && kernel_id <= 4) {\\n if (kernel_id == 2) { cov_id = 2; }\\n if (kernel_id == 3) { cov_id = 3; }\\n if (kernel_id == 4) { cov_id = 4; }\\n\\n distmat = distance_matrix_on_vectors(N, x);\\n cov = cov_matrix_matern(N, distmat, rho, square(alpha), cov_id) + diag_matrix(rep_vector(square(sigma), N));\\n L_cov = cholesky_decompose(cov);\\n rho ~ inv_gamma(ig1, ig2);\\n alpha ~ normal(n1, n2);\\n y ~ multi_normal_cholesky(rep_vector(0, N), L_cov);\\n }\\n\\n // RBF kernel with ARD (D-dimensional) lengthscale\\n else if (kernel_id == 5) {\\n cov_id = 1;\\n cov = cov_matrix_ard(N, D, x, rhovec, square(alpha), cov_id) + diag_matrix(rep_vector(square(sigma), N));\\n L_cov = cholesky_decompose(cov);\\n for(d in 1:D) {\\n rhovec[d] ~ inv_gamma(ig1, ig2);\\n }\\n alpha ~ normal(n1, n2);\\n y ~ multi_normal_cholesky(rep_vector(0, N), L_cov);\\n }\\n\\n }\\n \\\"\\\"\\\"\",\n \"def get_model_5(parameters):\\n # Generate model\\n model = svm.LinearSVC(max_iter=100000)\\n \\n # Return the model\\n return model\",\n \"def model(data_x, parameters):\\n return data_x @ parameters\",\n \"def compute_model(self, A_on_basis_vec_handles, B_on_standard_basis_handles,\\n C_on_basis_vecs):\\n self.reduce_A(A_on_basis_vec_handles)\\n self.reduce_B(B_on_standard_basis_handles)\\n self.reduce_C(C_on_basis_vecs)\\n return self.A_reduced, self.B_reduced, self.C_reduced\",\n \"def c(self) -> np.ndarray:\\n return self._vector[10:12]\",\n \"def vector(x, y, z):\\n return point_or_vector(x,y,z,0.0)\",\n \"def mbvector(A, c=sqrt(8 / 3)):\\n la = len(A)\\n sa = A.size\\n if la == sa:\\n B = np.array([0.0, 0.0, 0.0])\\n a1 = A[0] * np.array([1.0, 0.0])\\n a2 = A[1] * np.array([-0.5, 0.5 * sqrt(3)])\\n a3 = A[2] * np.array([-0.5, -0.5 * sqrt(3)])\\n B[0] = a1[0] + a2[0] + a3[0]\\n B[1] = a1[1] + a2[1] + a3[1]\\n B[2] = c * A[3]\\n else:\\n sa = A.shape\\n B = np.zeros(shape=(sa[0], 3))\\n for i in range(sa[0]):\\n B[i, 0] = a1[0] + a2[0] + a3[0]\\n B[i, 1] = a1[1] + a2[1] + a3[1]\\n B[i, 2] = c * A[i, 3]\\n return B\",\n \"def model(self):\\n model = self._table_coords[0].model\\n for m2 in self._table_coords[1:]:\\n model = model & m2.model\\n return model\",\n \"def get_model(opt, device):\\n model = CifarConvNet(hidden_dim=512).to(device)\\n if opt.mode == \\\"SVI\\\":\\n return SVIModel(model)\\n return model\",\n \"def beta_model(r, s0, rc, beta, c):\\n return s0 * np.power((1.0+(r/rc)**2), 0.5-3*beta) + c\",\n \"def get_vertex_fa_model_tc(self, vertex):\\n\\n # get rsq val for plotting\\n r2 = self.pp_fa_est_df[self.pp_fa_est_df.vertex == vertex]['r2'].values[0]\\n\\n if self.FAmodel_name == 'glm':\\n\\n vertex_df = self.pp_fa_est_df[self.pp_fa_est_df.vertex == vertex]\\n\\n ## get DM\\n design_matrix, all_regressor_names = self.FAModelObj.get_fa_glm_dm({key: vertex_df[key].values[0] for key in self.FAModelObj.prf_est_keys}, \\n nuisances_df = self.confounds_df, bar_keys = ['att_bar', 'unatt_bar'])\\n\\n ## dot design matrix with betas to get prediction timecourse\\n model_arr = design_matrix.T.dot(vertex_df[all_regressor_names].values[0])\\n\\n\\n elif self.FAmodel_name == 'full_stim':\\n\\n ## transform estimates dataframe into dictionary\\n tc_dict = self.pp_fa_est_df[self.pp_fa_est_df.vertex == vertex].to_dict('r')[0]\\n\\n ## turn parameters and bounds into arrays because of scipy minimize\\n # but save dict keys to guarantee order is correct\\n parameters_keys = list(tc_dict.keys())\\n\\n # set parameters and bounds into list, to conform to scipy minimze format\\n tc_pars = np.array([tc_dict[key] for key in parameters_keys])\\n \\n ## get prediction array\\n model_arr = self.FAModelObj.get_fit_timecourse(tc_pars, reg_name = 'full_stim', \\n bar_keys = ['att_bar', 'unatt_bar'], parameters_keys = parameters_keys)\\n \\n model_arr = model_arr[0]\\n\\n return model_arr, r2\",\n \"def vector(self, x):\\n if isinstance(x, tuple):\\n index = self.tuple_to_index[x]\\n elif isinstance(x, str):\\n index = self.string_to_index[x]\\n else:\\n index = x\\n\\n return self.vectors[index]\",\n \"def __getitem__(self, name):\\n return np.array(self._vectors[name])\",\n \"def svm_fit(self, c: float = 1.0):\\r\\n self.svmModel = SVC(C=c, gamma='auto').fit(self.x, self.y)\",\n \"def predict(self, input_vector):\\r\\n inputlayer = self.layers[0]\\r\\n for i in range(len(inputlayer)):\\r\\n inputlayer[i].activation = input_vector[i]\\r\\n\\r\\n layers = self.layers\\r\\n output_vector=[]\\r\\n a=0\\r\\n #skips input layer\\r\\n\\r\\n #i=current layer\\r\\n for i in range(1,len(layers)):\\r\\n #j is the node we are on in the layer\\r\\n for j in range(len(layers[i])):\\r\\n layers[i][j].compute_activation()\\r\\n if i==len(layers)-1:\\r\\n output_vector.append(layers[i][j].activation)\\r\\n return output_vector\",\n \"def model_output(model, t, s, i):\\n return 0, 0, 0, 0\",\n \"def predict(self, X, a, b):\\n pass\",\n \"def predict_mat(self):\\n mat = self.covs_mat.dot(self.alpha)\\n return mat.reshape(self.shape)\",\n \"def emulator(pca, gp_model, params):\\n # Weights prediction\\n pred_weights = gp_predict(gp_model, params)\\n\\n # Inverse PCA (pred_weights * basis + mean)\\n reconstructed = pca.inverse_transform(pred_weights)\\n return reconstructed\",\n \"def c_():\\r\\n c = np.array([[0, 0], [0, 100], [100, 100], [100, 80], [20, 80],\\r\\n [20, 20], [100, 20], [100, 0], [0, 0]])\\r\\n return c\",\n \"def V_fit(x, a, b, c, d, e, f):\\n x1 = x[0] # I\\n x2 = x[1] # dT\\n m = (a * x1 ** 2 + b * x1 + c)\\n b = (d * x1 ** 2 + e * x1 + f)\\n return m * x2 + b\",\n \"def param(self,name,i):\\n state = self.getstate(name)\\n x,C = state.vec,state.cov\\n cc = C[i,i]\\n if (cc>0.): cc=sqrt(cc)\\n xx,cc = x[i],cc\\n debug('kfnode.param ',(name,xx,cc))\\n return xx,cc\",\n \"def cpled_model ( x, wavebands, sza, saa, vza, vaa, day, month, do_trans=True ):\\n from prosail import run_prosail\\n # Invert parameter LAI\\n \\n if do_trans:\\n x = inverse_transform ( x )\\n ################# surface refl with prosail #####################\\n surf_refl = np.c_[ np.arange(400, 2501)/1000., \\\\\\n run_prosail(x[0], x[1], x[2], x[3], \\\\\\n x[4], x[5], x[6], x[7], 0, x[8], x[9], 0.01, sza, vza, vaa, 2 )]\\n ################# Atmospheric modelling with 6s ##################\\n o3 = x[-2]\\n cwc = x[-1]\\n aot = x[-3]\\n s, retvals = atcorr ( wavebands, o3, cwc, aot, surf_refl, sza, saa, vza, \\\\\\n vaa, day, month )\\n\\n ################ Per band coupling ###############################\\n refl_toa = []\\n for i, sixs_output in enumerate ( retvals ):\\n rho_surf = np.interp( wavebands[i], \\\\\\n surf_refl[:,0], surf_refl[:,1])\\n refl_toa.append ( to_refltoa ( sixs_output, rho_surf ) )\\n return np.array ( refl_toa )\",\n \"def get_model(self):\\n S = [(x,y) for x in range(12) for y in range(9)] # States\\n A = self.actions.copy() # Actions\\n L = self.objects.copy() # Labeling function\\n T = {} # Transitions (s,a) -> s' (they are deterministic)\\n for s in S:\\n x,y = s\\n for a in A:\\n T[(s,a)] = self._get_new_position(x,y,a)\\n return S,A,L,T # SALT xD\",\n \"def AsVector(self) -> ngsolve.la.BaseVector:\",\n \"def cvector(rvector):\\n \\n if(rvector is None):\\n return rvector\\n elif(isinstance(rvector,list)):\\n return np.array([np.array(rvector)]).T\\n elif(rvector.shape==(3,1)):\\n return rvector\\n elif(rvector.shape==(3,)):\\n return np.array([np.array(rvector)]).T\\n\\n print(rvector.shape)\\n print('wooooooops')\",\n \"def select(self):\\n warnings.filterwarnings(\\\"ignore\\\", category=DeprecationWarning)\\n\\n bic_models = map(lambda x: self.run_bic_model(x),\\n range(self.min_n_components, self.max_n_components + 1))\\n valid_models = [x for x in bic_models if x is not None]\\n\\n if len(valid_models) > 0:\\n best_model = sorted(valid_models, key=lambda x: x[1])[0]\\n return best_model[0]\\n else:\\n return None\",\n \"def _gv_linear(self, r, t):\\n mv1t = torch.matmul(self.mv1.weight, t.T) # [k, b]\\n mv2r = torch.matmul(self.mv2.weight, r.T) # [k, b]\\n return (mv1t + mv2r + self.bv.weight).T # [b, k]\",\n \"def get_cl(self, re, aa):\\r\\n return Turbine.v_fCL(re, np.degrees(aa))\",\n \"def predict_viterbi(self, tokens: TokenSeq) -> Tuple[NDArray, NDArray, PosSeq]:\",\n \"def normalize(self, c=0):\\n from scipy.sparse import dia_matrix\\n c = int(c)\\n if not c in [0, 1, 2]:\\n raise ValueError('c must be equal to 0, 1 or 2')\\n\\n if self.E == 0:\\n if c < 2:\\n return np.zeros(self.V)\\n else:\\n return np.zeros(self.V), np.zeros(self.V)\\n adj = self.to_coo_matrix().tocsr()\\n s1 = adj.sum(0)\\n s2 = adj.sum(1)\\n if c == 1:\\n s = dia_matrix((1. / s1, 0), shape=(self.V, self.V))\\n adj = adj * s\\n self.weights = wgraph_from_adjacency(adj).get_weights()\\n return np.asarray(s1)\\n if c == 0:\\n s = dia_matrix((1. / s2.T, 0), shape=(self.V, self.V))\\n adj = s * adj\\n self.weights = wgraph_from_adjacency(adj).get_weights()\\n return np.asarray(s2)\\n if c == 2:\\n s1 = dia_matrix((1. / np.sqrt(s1), 0),\\n shape=(self.V, self.V))\\n s2 = dia_matrix((1. / np.sqrt(adj.sum(1)), 0),\\n shape=(self.V, self.V))\\n adj = (s1 * adj) * s2\\n self.weights = wgraph_from_adjacency(adj).get_weights()\\n return np.asarray(s1), np.asarray(s2)\",\n \"def predict(self):\\n for src_p, pair in enumerate(self.pairs):\\n dst_p = pair[1].argmax()\\n dst_ind = pair[0][dst_p]\\n\\n self.vector_field.append(np.hstack([self.frame_0[src_p], self.frame_1[dst_ind]]))\\n\\n self.vector_field = np.vstack(self.vector_field)\\n\\n return self.vector_field\",\n \"def model(self):\\n return _model_from_quantity(self.table, self.mesh)\",\n \"def parallelized_modelling(name, dico_aligns):\\n ev_threading = sc.Modeller(dico_aligns[name])\\n return (name, ev_threading.modelled())\",\n \"def retraction(self, v, x, c):\\n c = self.truncate_c(c)\\n new_v = self.expmap(v, x, c)\\n return self.proj(new_v, c)\",\n \"def model(self, model_num = 0):\\n return self.struct[model_num]\",\n \"def predict_mat(self):\\n return self.u.dot(self.v.T)\",\n \"def model_predict(self, X):\\n return self.cmodel.predict(X=X)\",\n \"def predict(self, xs, **kwargs):\",\n \"def build_model():\",\n \"def lca(self, v, w):\",\n \"def call_single_vec(self, input_value):\\n _, eigVectors = self.getEigen(input_value)\\n return eigVectors[:,:,-1]\",\n \"def build_model(self, X: pd.DataFrame, y: pd.DataFrame = None) -> pm.Model:\\n idx = X.index\\n \\n if y is None:\\n y = pd.Series(0, index=idx)\\n elif self.oversample: # only if y is given\\n n_pos = (y == 1).sum()\\n n_neg = (y == 0).sum()\\n to_add = int(np.ceil(n_neg/n_pos) - 1)\\n # print(n_pos, n_neg, to_add)\\n if to_add > 4:\\n to_add = 4\\n for i in range(to_add):\\n idx = idx.append(y[y==1].index)\\n X = X.loc[idx]\\n y = y.loc[idx]\\n \\n A = X[self.v_known + self.v_oob_bio]\\n B_vals = X[self.v_fuzzy]\\n B_mask = (B_vals == -1).astype(int)\\n C_raw = X[self.v_float_adm + self.v_float_bio]\\n # C_scaled = (C_raw - self.C_mean_) / self.C_std_ \\n C_scaled = np.log1p(C_raw/self.C_mean_)\\n C_scaled[~np.isfinite(C_scaled)] = np.nan\\n C_vals = C_scaled.fillna(0)\\n C_mask = C_scaled.isnull().astype(int)\\n \\n coords = {\\\"idx\\\": idx, \\\"a\\\": A.columns, \\\"b\\\": B_vals.columns, \\\"c\\\": C_vals.columns}\\n with pm.Model(coords=coords) as m:\\n pm.Data(\\\"A\\\", A, dims=[\\\"idx\\\", \\\"a\\\"])\\n pm.Data(\\\"B_vals\\\", B_vals, dims=[\\\"idx\\\", \\\"b\\\"])\\n pm.Data(\\\"B_mask\\\", B_mask, dims=[\\\"idx\\\", \\\"b\\\"])\\n pm.Data(\\\"C_vals\\\", C_vals, dims=[\\\"idx\\\", \\\"c\\\"])\\n pm.Data(\\\"C_mask\\\", C_mask, dims=[\\\"idx\\\", \\\"c\\\"])\\n pm.Data(\\\"y\\\", y, dims=[\\\"idx\\\"])\\n\\n pm.Normal(\\\"avg\\\", mu=0, sd=1)\\n\\n pm.Beta(\\\"h_a_incl\\\", alpha=1, beta=4)\\n pm.Normal(\\\"a_coef_raw\\\", mu=0, sd=1, dims=[\\\"a\\\"])\\n pm.Bernoulli(\\\"a_incl\\\", p=m[\\\"h_a_incl\\\"], dims=[\\\"a\\\"])\\n pm.Deterministic(\\\"a_coef\\\", m['a_coef_raw'] * m['a_incl'], dims=[\\\"a\\\"])\\n \\n pm.Normal(\\\"b_vals_coef\\\", mu=0, sd=1, dims=[\\\"b\\\"])\\n pm.Normal(\\\"b_mask_coef_raw\\\", mu=0, sd=1, dims=[\\\"b\\\"])\\n pm.Beta(\\\"h_b_mask_incl\\\", alpha=1, beta=4)\\n pm.Bernoulli(\\\"b_mask_incl\\\", p=m[\\\"h_b_mask_incl\\\"], dims=[\\\"b\\\"])\\n pm.Deterministic(\\\"b_mask_coef\\\", m['b_mask_coef_raw'] * m['b_mask_incl'], dims=[\\\"b\\\"])\\n \\n pm.Normal(\\\"c_vals_coef\\\", mu=0, sd=1, dims=[\\\"c\\\"])\\n pm.Normal(\\\"c_mask_coef_raw\\\", mu=0, sd=1, dims=[\\\"c\\\"])\\n pm.Beta(\\\"h_c_mask_incl\\\", alpha=1, beta=4)\\n pm.Bernoulli(\\\"c_mask_incl\\\", p=m[\\\"h_c_mask_incl\\\"], dims=[\\\"c\\\"])\\n pm.Deterministic(\\\"c_mask_coef\\\", m['c_mask_coef_raw'] * m['c_mask_incl'], dims=[\\\"c\\\"])\\n unprob = pm.Deterministic(\\n \\\"logit\\\",\\n m['avg']\\n + tt.dot(m[\\\"A\\\"], m[\\\"a_coef\\\"])\\n + tt.dot(m[\\\"B_vals\\\"] * (1 - m['B_mask']), m[\\\"b_vals_coef\\\"])\\n + tt.dot(m[\\\"B_mask\\\"], m[\\\"b_mask_coef\\\"])\\n + tt.dot(m[\\\"C_vals\\\"] * (1 - m['C_mask']), m[\\\"c_vals_coef\\\"])\\n + tt.dot(m[\\\"C_mask\\\"], m[\\\"c_mask_coef\\\"])\\n )\\n pm.Bernoulli(\\\"y_pred\\\", p = tt.nnet.sigmoid(unprob), dims=['idx'], observed=m['y'])\\n\\n m.graph = pm.model_to_graphviz()\\n\\n return m\",\n \"def getVector(c1, c2):\\n return [c1[0] - c2[0], c1[1] - c2[1], c1[2] - c2[2]]\",\n \"def get_model():\\n model = ecole.scip.Model.from_file(str(DATA_DIR / \\\"bppc8-02.mps\\\"))\\n model.disable_cuts()\\n model.disable_presolve()\\n model.set_param(\\\"randomization/permuteconss\\\", True)\\n model.set_param(\\\"randomization/permutevars\\\", True)\\n model.set_param(\\\"randomization/permutationseed\\\", 784)\\n model.set_param(\\\"randomization/randomseedshift\\\", 784)\\n model.set_param(\\\"randomization/lpseed\\\", 784)\\n return model\",\n \"def __call__(self): \\n m = np.zeros((len(self.observation),))\\n k = np.zeros((len(self.observation), len(self.prior)))\\n \\n sv = self.stateVector\\n m = sv[0] * np.exp(-(self.independentVariable/sv[1])) + sv[2]\\n \\n k[:, 0] = np.exp(-(self.independentVariable/sv[1]))\\n k[:, 1] = (sv[0] * self.independentVariable * \\n np.exp(-(self.independentVariable/sv[1]))/(sv[1])**2)\\n k[:, 2] = np.ones((len(self.observation),))\\n \\n self.modelCalculation, self.Jacobian = m, k\\n \\n return m, k\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.5943117","0.5943117","0.59274226","0.5790551","0.57192355","0.56776786","0.5629956","0.5623865","0.55425984","0.5500118","0.5482155","0.54582584","0.5437091","0.5437091","0.54246694","0.5345569","0.5322276","0.527424","0.5258969","0.5258677","0.52557236","0.52557236","0.52557236","0.52557236","0.52557236","0.52557236","0.52557236","0.52557236","0.52557236","0.5242","0.51963556","0.51773584","0.5150985","0.51489013","0.51467395","0.5146321","0.51393205","0.51335686","0.510948","0.5108996","0.5102604","0.5099609","0.5096882","0.5095645","0.5092739","0.5090324","0.50885767","0.50756305","0.5071571","0.50687975","0.5065083","0.5061362","0.5058596","0.5050275","0.50287014","0.50254804","0.5016667","0.50132734","0.50041586","0.49880835","0.49724713","0.49426624","0.49385038","0.49360397","0.49273923","0.49245095","0.49213418","0.49133295","0.49082327","0.48967603","0.48963684","0.4892658","0.48917836","0.48882687","0.48872817","0.4882102","0.48813123","0.48737618","0.4861583","0.48595625","0.48594075","0.4855663","0.485275","0.48466802","0.4844635","0.48416778","0.48273033","0.48272607","0.4825909","0.4820354","0.48189682","0.48109445","0.48103032","0.48049623","0.4799737","0.47985938","0.47978747","0.47971064","0.47944233","0.47930348"],"string":"[\n \"0.5943117\",\n \"0.5943117\",\n \"0.59274226\",\n \"0.5790551\",\n \"0.57192355\",\n \"0.56776786\",\n \"0.5629956\",\n \"0.5623865\",\n \"0.55425984\",\n \"0.5500118\",\n \"0.5482155\",\n \"0.54582584\",\n \"0.5437091\",\n \"0.5437091\",\n \"0.54246694\",\n \"0.5345569\",\n \"0.5322276\",\n \"0.527424\",\n \"0.5258969\",\n \"0.5258677\",\n \"0.52557236\",\n \"0.52557236\",\n \"0.52557236\",\n \"0.52557236\",\n \"0.52557236\",\n \"0.52557236\",\n \"0.52557236\",\n \"0.52557236\",\n \"0.52557236\",\n \"0.5242\",\n \"0.51963556\",\n \"0.51773584\",\n \"0.5150985\",\n \"0.51489013\",\n \"0.51467395\",\n \"0.5146321\",\n \"0.51393205\",\n \"0.51335686\",\n \"0.510948\",\n \"0.5108996\",\n \"0.5102604\",\n \"0.5099609\",\n \"0.5096882\",\n \"0.5095645\",\n \"0.5092739\",\n \"0.5090324\",\n \"0.50885767\",\n \"0.50756305\",\n \"0.5071571\",\n \"0.50687975\",\n \"0.5065083\",\n \"0.5061362\",\n \"0.5058596\",\n \"0.5050275\",\n \"0.50287014\",\n \"0.50254804\",\n \"0.5016667\",\n \"0.50132734\",\n \"0.50041586\",\n \"0.49880835\",\n \"0.49724713\",\n \"0.49426624\",\n \"0.49385038\",\n \"0.49360397\",\n \"0.49273923\",\n \"0.49245095\",\n \"0.49213418\",\n \"0.49133295\",\n \"0.49082327\",\n \"0.48967603\",\n \"0.48963684\",\n \"0.4892658\",\n \"0.48917836\",\n \"0.48882687\",\n \"0.48872817\",\n \"0.4882102\",\n \"0.48813123\",\n \"0.48737618\",\n \"0.4861583\",\n \"0.48595625\",\n \"0.48594075\",\n \"0.4855663\",\n \"0.485275\",\n \"0.48466802\",\n \"0.4844635\",\n \"0.48416778\",\n \"0.48273033\",\n \"0.48272607\",\n \"0.4825909\",\n \"0.4820354\",\n \"0.48189682\",\n \"0.48109445\",\n \"0.48103032\",\n \"0.48049623\",\n \"0.4799737\",\n \"0.47985938\",\n \"0.47978747\",\n \"0.47971064\",\n \"0.47944233\",\n \"0.47930348\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6103821"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":88296,"cells":{"query":{"kind":"string","value":"Get the cumulative model (sum of all available models)"},"document":{"kind":"string","value":"def get_cumulative_model(self):\n cm = None\n for ac in self.ac:\n if ac[0] is None:\n continue\n m = self.get_model(last=False, a=ac[0], c=ac[1])\n cm = m if cm is None else cm+m\n return cm"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def show_cumulative_mig(model):\r\n return sum(cumulative_mig_list)","def cum_sum(self):\n\n # create cdo command and runit\n cdo_command = \"cdo -timcumsum\"\n run_this(cdo_command, self, output=\"ensemble\")","def total_models_produced(self):\n return self._total_models_produced","def cumulate(tobject):\n # forward suffix\n return asrootpy(tobject.GetCumulative(True, uuid.uuid4().get_hex()))","def cumula():\n f = open('cumul_depths.tmp','w+')\n model = np.loadtxt('start_model.dat',dtype={'names': ('H'),'formats': \\\n ('f4')}, skiprows=1,usecols=[0])\n \n cumul = 0\n for i, d in enumerate(model['H'][:-1]): \n # le dernier est souvent le semi espace donc pas besoin (tres prof)\n cumul +=d\n print (\"layer \", i, \" - depth: \", cumul)\n f.write(\"%s\\n\" % cumul)\n f.close()","def get_total_euros(model):\n total_euros = [v.euro_wallet for k, v in model.schedule.agents_by_type['Customer'].items()]\n return round(float(np.sum(total_euros)), 2)","def _return_t(model):\n summary = base.summary(model)\n unsum = base.unclass(summary)\n return unsum.rx2(\"coefficients\")[:, -1]","def cumprob(self):\r\n return self.probabilities.cumsum(-1)","def calculate_c_from_card(model_params: define_models.ModelParams,\n model: define_models.VsvModel,\n periods: np.array) -> np.array:\n params = RunParameters(freq_max = 1000 / min(periods) + 1)\n _ = define_models.convert_vsv_model_to_mineos_model(model, model_params)\n c, _ = run_mineos(params, periods, model_params.id)\n\n return c","def temporal_distribution(model):\n years = range(model.years[0], model.years[-1] + 1)\n hdd = load_file(model.temporal_files['hdd'], model.resolution, years, regrid_method='intensive')['hdd']\n cdd = load_file(model.temporal_files['cdd'], model.resolution, years, regrid_method='intensive')['cdd']\n\n weights = elec_sector_weights(os.path.join(model.root, model.gcam_db))\n weights = weights[(weights.region.isin(model.inputs.region[model.inputs.sector == 'Electricity'])) &\n (weights.region.isin(model.region_masks.region.data)) &\n (weights.year.isin(model.years))].set_index(['region', 'sector', 'year']\n )['value'].to_xarray().fillna(0).astype(np.float32)\n weights = interp_helper(weights)\n\n region_masks = model.region_masks.sel(region=weights.region)\n\n # this formula is annoying to implement because of the hdd/cdd thresholds and reallocation of weights\n hdd_sums = hdd.sum(dim='month')\n cdd_sums = cdd.sum(dim='month')\n\n # when hdd under threshold but cdd above threshold, cooling percent is added to heating signal\n hdd = xr.where((hdd_sums < 650) & (cdd_sums >= 450), cdd, hdd)\n # when cdd under threshold but hdd above threshold, heating percent is added to cooling signal\n cdd = xr.where((cdd_sums < 450) & (hdd_sums >= 650), hdd, cdd)\n # when neither are above threshold, both are reallocated to other category, and demand does not depend hdd or cdd\n hdd = xr.where((hdd_sums < 650) & (cdd_sums < 450), 1 / 12, hdd)\n cdd = xr.where((hdd_sums < 650) & (cdd_sums < 450), 1 / 12, cdd)\n\n # redo sums based on reallocation\n hdd_sums = hdd.sum(dim='month')\n cdd_sums = cdd.sum(dim='month')\n # prevent 0/0\n hdd_sums = xr.where(hdd_sums != 0, hdd_sums, 1)\n cdd_sums = xr.where(cdd_sums != 0, cdd_sums, 1)\n hdd /= hdd_sums\n cdd /= cdd_sums\n\n distribution = xr.concat([hdd, cdd, xr.full_like(hdd, 1/12)],\n dim=pd.Series(['Heating', 'Cooling', 'Other'], name='sector'))\n\n distribution = distribution.where(region_masks, 0)\n distribution = distribution.dot(weights, dims=('sector', 'region'))\n\n return distribution","def _model(self):\n common_scale = self.edp_par['common_scale'].value\n model = self.F_trans() * self.F_cont()\n # get F(h=1,k=0), which is used for normalization \n # common_scale is a common scaling factor => F(h=1,k=0) = 100*common_scale\n F_10 = model[(self.h==1)&(self.k==0)]\n model = model / np.absolute(F_10) * 100 * common_scale\n return model","def coef_(self):\n assert self.sess is not None, \"Model has not been fitted yet!\"\n return self.sess.run(self.W_lst)[0]","def cumulative_distribution(self, X):\n raise NotImplementedError","def cumsum(module, y, dimension):\n _import_modules()\n if module in [np, ma, torch, jnp]:\n return module.cumsum(y, axis=dimension)\n elif module == tf:\n return tf.math.cumsum(y, dimension)","def cumulative(requestContext, seriesList, consolidationFunc='sum'):\n return consolidateBy(requestContext, seriesList, 'sum')","def _tf_model_coeffs(self):\n tf = self.tf\n with self._tf_graph.as_default():\n with tf.variable_scope(\"model\", reuse=tf.AUTO_REUSE):\n return tf.get_variable(\"R\", [self.n_nodes, self.n_nodes],\n dtype=tf.float64)","def continuous_model():\n return {\"x\": np.random.beta(2, 5, size=100), \"y\": np.random.beta(2, 5, size=100)}","def get_latest_model():\n return get_models()[-1]","def calcEout(model_type): \n b, v = calcStatistics(model_type)\n return b + v","def _get_current_delta(model):\n delta = []\n _delta = []\n for i in MILPSolver.prob.nn.layers:\n (s, e) = vmodel.get_var_indices(i.depth, 'delta')\n d = model._vars[s:e]\n _d = np.asarray(model.cbGetNodeRel(d))\n delta.append(d)\n _delta.append(_d)\n\n return delta, _delta","def total_clearance(self):\n total_clearances = 0\n debit = 0 #variable to track the remaining debit\n clearances = self.clearance_set.all() #grab all the previous clerances\n for clearance in clearances:\n total_clearances += clearance.paid_value\n return total_clearances","def fetch_models(self):\n if self.model_pool is None:\n print(\"Please train a model first.\", file=STDE)\n EXIT(1)\n else:\n return [copy.deepcopy(m.steps[-1][-1]) for m in self.model_pool]","def coeff_totals(self):\n update_set = []\n coeff_tots = []\n for i,u in enumerate(self.updates):\n if not u in update_set:\n update_set.append(u)\n coeff_tots.append(0.0)\n for j,u2 in enumerate(update_set):\n if u is u2:\n coeff_tots[j] += self.coeff[i]\n return update_set, coeff_tots","def get_model_count(self):\n return len(self._model_start_i)","def data(self, model, with_aux=True):\n\n try:\n observed_data = sum(\n (self.observations[c] for c in model.config.channels), []\n )\n except KeyError:\n log.error(\n \"Invalid channel: the workspace does not have observation data for one of the channels in the model.\"\n )\n raise\n if with_aux:\n observed_data += model.config.auxdata\n return observed_data","def get_cumulative(self, search_items, csv=False, output_dir=None, extra_param=None):\n\n # Get data from api and create objects\n api_datas = self.call_api(search_items, \"probability\", \"cumulative\", \"property\", extra_param=extra_param)\n product = [ProbabilityCumulative(api_data) for api_data in api_datas]\n\n if csv:\n csv_format.to_csv(product, \"probability\", \"cumulative\", output_dir=output_dir)\n\n logging.info(\"Probability Cumulative Data Ready.\")\n\n return product","def total_models_updated(self):\n return self._total_models_updated","def return_coef(self):\n try:\n model_coef = self.cmodel.coef_\n except:\n model_coef = 'Model does not have a .coef_ attribute.'\n\n return model_coef","def get_total_teos(model):\n total_teos = [v.teo_wallet for k, v in model.schedule.agents_by_type['Customer'].items()]\n return round(float(np.sum(total_teos)), 2)","def cal_F1(loader, model):\n correct = 0\n total = 0\n model.eval()\n cof_mat = np.zeros ((4,4))\n Ns = np.zeros(4)\n ns = np.zeros(4)\n for data, labels in loader:\n data_batch, label_batch = data.to(device), labels.to(device)\n outputs = F.softmax(model(data_batch), dim=1)\n predicted = outputs.max(1, keepdim=True)[1]\n total += label_batch.size(0)\n correct += predicted.eq(label_batch.view_as(predicted)).sum().item()\n acc = label_batch.view_as(predicted)\n for (a,p) in zip(acc, predicted):\n cof_mat[a][p] += 1\n Ns[a] += 1\n ns[p] += 1\n F1 = 0.0\n for i in range(len(Ns)):\n tempF = cof_mat[i][i]*2.0 /(Ns[i] + ns[i])\n F1 = F1+ tempF\n print('F1'+str(i)+':',tempF)\n F1 = F1/4.0\n print('cofmat',cof_mat)\n return 100 * correct / total, F1","def get_exchanged_euros(model):\n exchanged_euros = np.sum([v.exchanged_euros for k, v in model.schedule.agents_by_type['Customer'].items()])\n return round(float(np.sum(exchanged_euros)), 2)","def cumsum(self):\n return self._lift(lambda c: c.cumsum)","def front_column_model_p_gain():","def _calc_reactions(model, log=False, combo_tags=None):\n\n # Print a status update to the console\n if log: print('- Calculating reactions')\n\n # Identify which load combinations to evaluate\n if combo_tags is None:\n combo_list = model.LoadCombos.values()\n else:\n combo_list = []\n for combo in model.LoadCombos.values():\n if any(tag in combo.combo_tags for tag in combo_tags):\n combo_list.append(combo)\n\n # Calculate the reactions node by node\n for node in model.Nodes.values():\n \n # Step through each load combination\n for combo in combo_list:\n \n # Initialize reactions for this node and load combination\n node.RxnFX[combo.name] = 0.0\n node.RxnFY[combo.name] = 0.0\n node.RxnFZ[combo.name] = 0.0\n node.RxnMX[combo.name] = 0.0\n node.RxnMY[combo.name] = 0.0\n node.RxnMZ[combo.name] = 0.0\n\n # Determine if the node has any supports\n if (node.support_DX or node.support_DY or node.support_DZ \n or node.support_RX or node.support_RY or node.support_RZ):\n\n # Sum the spring end forces at the node\n for spring in model.Springs.values():\n\n if spring.i_node == node and spring.active[combo.name] == True:\n \n # Get the spring's global force matrix\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \n spring_F = spring.F(combo.name)\n\n node.RxnFX[combo.name] += spring_F[0, 0]\n node.RxnFY[combo.name] += spring_F[1, 0]\n node.RxnFZ[combo.name] += spring_F[2, 0]\n node.RxnMX[combo.name] += spring_F[3, 0]\n node.RxnMY[combo.name] += spring_F[4, 0]\n node.RxnMZ[combo.name] += spring_F[5, 0]\n\n elif spring.j_node == node and spring.active[combo.name] == True:\n \n # Get the spring's global force matrix\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \n spring_F = spring.F(combo.name)\n \n node.RxnFX[combo.name] += spring_F[6, 0]\n node.RxnFY[combo.name] += spring_F[7, 0]\n node.RxnFZ[combo.name] += spring_F[8, 0]\n node.RxnMX[combo.name] += spring_F[9, 0]\n node.RxnMY[combo.name] += spring_F[10, 0]\n node.RxnMZ[combo.name] += spring_F[11, 0]\n\n # Step through each physical member in the model\n for phys_member in model.Members.values():\n\n # Sum the sub-member end forces at the node\n for member in phys_member.sub_members.values():\n \n if member.i_node == node and phys_member.active[combo.name] == True:\n \n # Get the member's global force matrix\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \n member_F = member.F(combo.name)\n\n node.RxnFX[combo.name] += member_F[0, 0]\n node.RxnFY[combo.name] += member_F[1, 0]\n node.RxnFZ[combo.name] += member_F[2, 0]\n node.RxnMX[combo.name] += member_F[3, 0]\n node.RxnMY[combo.name] += member_F[4, 0]\n node.RxnMZ[combo.name] += member_F[5, 0]\n\n elif member.j_node == node and phys_member.active[combo.name] == True:\n \n # Get the member's global force matrix\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \n member_F = member.F(combo.name)\n \n node.RxnFX[combo.name] += member_F[6, 0]\n node.RxnFY[combo.name] += member_F[7, 0]\n node.RxnFZ[combo.name] += member_F[8, 0]\n node.RxnMX[combo.name] += member_F[9, 0]\n node.RxnMY[combo.name] += member_F[10, 0]\n node.RxnMZ[combo.name] += member_F[11, 0]\n\n # Sum the plate forces at the node\n for plate in model.Plates.values():\n\n if plate.i_node == node:\n\n # Get the plate's global force matrix\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \n plate_F = plate.F(combo.name)\n \n node.RxnFX[combo.name] += plate_F[0, 0]\n node.RxnFY[combo.name] += plate_F[1, 0]\n node.RxnFZ[combo.name] += plate_F[2, 0]\n node.RxnMX[combo.name] += plate_F[3, 0]\n node.RxnMY[combo.name] += plate_F[4, 0]\n node.RxnMZ[combo.name] += plate_F[5, 0]\n\n elif plate.j_node == node:\n\n # Get the plate's global force matrix\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \n plate_F = plate.F(combo.name)\n \n node.RxnFX[combo.name] += plate_F[6, 0]\n node.RxnFY[combo.name] += plate_F[7, 0]\n node.RxnFZ[combo.name] += plate_F[8, 0]\n node.RxnMX[combo.name] += plate_F[9, 0]\n node.RxnMY[combo.name] += plate_F[10, 0]\n node.RxnMZ[combo.name] += plate_F[11, 0]\n\n elif plate.m_node == node:\n\n # Get the plate's global force matrix\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \n plate_F = plate.F(combo.name)\n \n node.RxnFX[combo.name] += plate_F[12, 0]\n node.RxnFY[combo.name] += plate_F[13, 0]\n node.RxnFZ[combo.name] += plate_F[14, 0]\n node.RxnMX[combo.name] += plate_F[15, 0]\n node.RxnMY[combo.name] += plate_F[16, 0]\n node.RxnMZ[combo.name] += plate_F[17, 0]\n\n elif plate.n_node == node:\n\n # Get the plate's global force matrix\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \n plate_F = plate.F(combo.name)\n \n node.RxnFX[combo.name] += plate_F[18, 0]\n node.RxnFY[combo.name] += plate_F[19, 0]\n node.RxnFZ[combo.name] += plate_F[20, 0]\n node.RxnMX[combo.name] += plate_F[21, 0]\n node.RxnMY[combo.name] += plate_F[22, 0]\n node.RxnMZ[combo.name] += plate_F[23, 0]\n\n # Sum the quad forces at the node\n for quad in model.Quads.values():\n\n if quad.m_node == node:\n\n # Get the quad's global force matrix\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \n quad_F = quad.F(combo.name)\n\n node.RxnFX[combo.name] += quad_F[0, 0]\n node.RxnFY[combo.name] += quad_F[1, 0]\n node.RxnFZ[combo.name] += quad_F[2, 0]\n node.RxnMX[combo.name] += quad_F[3, 0]\n node.RxnMY[combo.name] += quad_F[4, 0]\n node.RxnMZ[combo.name] += quad_F[5, 0]\n\n elif quad.n_node == node:\n\n # Get the quad's global force matrix\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \n quad_F = quad.F(combo.name)\n \n node.RxnFX[combo.name] += quad_F[6, 0]\n node.RxnFY[combo.name] += quad_F[7, 0]\n node.RxnFZ[combo.name] += quad_F[8, 0]\n node.RxnMX[combo.name] += quad_F[9, 0]\n node.RxnMY[combo.name] += quad_F[10, 0]\n node.RxnMZ[combo.name] += quad_F[11, 0]\n\n elif quad.i_node == node:\n\n # Get the quad's global force matrix\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \n quad_F = quad.F(combo.name)\n \n node.RxnFX[combo.name] += quad_F[12, 0]\n node.RxnFY[combo.name] += quad_F[13, 0]\n node.RxnFZ[combo.name] += quad_F[14, 0]\n node.RxnMX[combo.name] += quad_F[15, 0]\n node.RxnMY[combo.name] += quad_F[16, 0]\n node.RxnMZ[combo.name] += quad_F[17, 0]\n\n elif quad.j_node == node:\n\n # Get the quad's global force matrix\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \n quad_F = quad.F(combo.name)\n \n node.RxnFX[combo.name] += quad_F[18, 0]\n node.RxnFY[combo.name] += quad_F[19, 0]\n node.RxnFZ[combo.name] += quad_F[20, 0]\n node.RxnMX[combo.name] += quad_F[21, 0]\n node.RxnMY[combo.name] += quad_F[22, 0]\n node.RxnMZ[combo.name] += quad_F[23, 0]\n \n # Sum the joint loads applied to the node\n for load in node.NodeLoads:\n\n for case, factor in combo.factors.items():\n \n if load[2] == case:\n\n if load[0] == 'FX':\n node.RxnFX[combo.name] -= load[1]*factor\n elif load[0] == 'FY':\n node.RxnFY[combo.name] -= load[1]*factor\n elif load[0] == 'FZ':\n node.RxnFZ[combo.name] -= load[1]*factor\n elif load[0] == 'MX':\n node.RxnMX[combo.name] -= load[1]*factor\n elif load[0] == 'MY':\n node.RxnMY[combo.name] -= load[1]*factor\n elif load[0] == 'MZ':\n node.RxnMZ[combo.name] -= load[1]*factor\n \n # Calculate reactions due to active spring supports at the node\n elif node.spring_DX[0] != None and node.spring_DX[2] == True:\n sign = node.spring_DX[1]\n k = node.spring_DX[0]\n if sign != None: k = float(sign + str(k))\n DX = node.DX[combo.name]\n node.RxnFX[combo.name] += k*DX\n elif node.spring_DY[0] != None and node.spring_DY[2] == True:\n sign = node.spring_DY[1]\n k = node.spring_DY[0]\n if sign != None: k = float(sign + str(k))\n DY = node.DY[combo.name]\n node.RxnFY[combo.name] += k*DY\n elif node.spring_DZ[0] != None and node.spring_DZ[2] == True:\n sign = node.spring_DZ[1]\n k = node.spring_DZ[0]\n if sign != None: k = float(sign + str(k))\n DZ = node.DZ[combo.name]\n node.RxnFZ[combo.name] += k*DZ\n elif node.spring_RX[0] != None and node.spring_RX[2] == True:\n sign = node.spring_RX[1]\n k = node.spring_RX[0]\n if sign != None: k = float(sign + str(k))\n RX = node.RX[combo.name]\n node.RxnMX[combo.name] += k*RX\n elif node.spring_RY[0] != None and node.spring_RY[2] == True:\n sign = node.spring_RY[1]\n k = node.spring_RY[0]\n if sign != None: k = float(sign + str(k))\n RY = node.RY[combo.name]\n node.RxnMY[combo.name] += k*RY\n elif node.spring_RZ[0] != None and node.spring_RZ[2] == True:\n sign = node.spring_RZ[1]\n k = node.spring_RZ[0]\n if sign != None: k = float(sign + str(k))\n RZ = node.RZ[combo.name]\n node.RxnMZ[combo.name] += k*RZ","def merge_sub_models(self) -> None:\n # to get the transition_matrix for the ensemble model, we average the\n # transition matrices of the children model\n if not self.use_crf:\n return\n transition_matrix = torch.mean(\n torch.cat(\n tuple(\n model.output_layer.word_output.crf.get_transitions().unsqueeze(0)\n for model in self.models\n ),\n dim=0,\n ),\n dim=0,\n )\n self.output_layer.word_output.crf.set_transitions(transition_matrix)","def cumulative_returns(self):\n return (1 + self.pct_change).cumprod()","def getModel(self):\n m,n = self.m,self.n\n A = np.zeros((m,m))\n B = np.zeros((m,n))\n C = np.zeros(m)\n Apattern,Bpattern,Cpattern = self.coeffPattern\n for i,e in enumerate(self.estimators):\n aofs = 0\n bofs = m\n cofs = m+n\n if Apattern==None:\n ai = e.x[aofs:m+aofs]\n else:\n bofs=aofs\n ai = []\n for j,pj in enumerate(Apattern[i]):\n if pj == None:\n ai.append(e.x[bofs])\n bofs += 1\n else:\n ai.append(pj)\n if Bpattern==None:\n bi = e.x[bofs:n+bofs]\n else:\n cofs=bofs\n bi = []\n for j,pj in enumerate(Bpattern[i]):\n if pj == None:\n bi.append(e.x[cofs])\n cofs += 1\n else:\n bi.append(pj)\n if Cpattern==None:\n ci = e.x[cofs]\n cofs+=1\n else:\n if Cpattern[i] == None:\n ci = e.x[cofs]\n cofs+=1\n else:\n ci = Cpattern[i]\n assert(cofs == e.n)\n assert len(ai)==m\n assert len(bi)==n\n A[i,:] = ai\n B[i,:] = bi\n C[i] = ci\n return (A,B,C)","def get_ensemble_model_margin(\n models,\n batch_x,\n ensemble_method\n):\n batch_ensemble_output = 0\n if ensemble_method == 'hard':\n num_classes = None\n for model in models:\n batch_output = model(batch_x, training=False)\n if ensemble_method == 'hard':\n batch_pred = tf.argmax(batch_output, axis=1)\n if num_classes is None:\n num_classes = batch_output.shape[1]\n batch_one_hot_output = tf.one_hot(batch_pred, num_classes)\n batch_ensemble_output += batch_one_hot_output\n elif ensemble_method == 'soft':\n batch_ensemble_output += batch_output\n else:\n raise ValueError(f'Not supported ensemble method: {ensemble_method}!')\n batch_ensemble_output = batch_ensemble_output / len(models)\n batch_sorted_ensemble_outputs = tf.sort(\n batch_ensemble_output, direction='DESCENDING', axis=1\n )\n batch_margins = (\n batch_sorted_ensemble_outputs[:, 0] - batch_sorted_ensemble_outputs[:, 1]\n )\n return batch_margins","def getTotalReward(self):\n return self.cumreward","def getTotalReward(self):\n return self.cumreward","def relation(self, model):\n m1, m2 = self.wire_map * model\n k1, k2, k3 = self.coefficients\n\n return k1 * m1 + k2 * m2 + k3","def calc_coherence(model, corpus):\n cm = CoherenceModel(model=model, corpus=corpus, coherence='u_mass')\n coherence = cm.get_coherence()\n print(timestamp(),\"Topic coherence:\", coherence)","def step(self, model):\n weights = []\n if (self.prune_scope == 'global'):\n # First collect all weights\n for step, (name, param) in enumerate(self.prune_parameters):\n scale = 1\n # Pointer to the original tensor\n tensor = param.data#.cpu().numpy()\n # Gradient-based selection\n if (self.prune_selection == 'gradient_max'):\n grad = param.grad#.cpu().numpy()\n tensor = grad[torch.nonzero(tensor, as_tuple=True)]#np.nonzero(tensor)]\n elif (self.prune_selection == 'gradient_min'):\n grad = 1 / (torch.abs(param.grad) + 1e-7) #.cpu().numpy()\n tensor = grad[torch.nonzero(tensor, as_tuple=True)]#np.nonzero(tensor)]\n #tensor = torch.abs(torch.max(tensor) - tensor) #np.max(tensor) - tensor\n # Retrieve non-pruned weights\n if (self.prune_scale == 'dimension'):\n scale = tensor.size\n if (self.prune_scale == 'normalize'):\n scale = torch.max(torch.abs(tensor))#np.max(np.abs(tensor))\n if (self.prune_scale == 'xavier'):\n scale = 1.0 / np.sqrt(2.0 / tensor.shape[0] + tensor.shape[1])\n alive = tensor[torch.nonzero(tensor, as_tuple=True)]#np.nonzero(tensor)]\n alive /= scale \n # Add to global weights\n weights.append(alive)\n # Flatten the whole weights\n weights = torch.cat(weights)#np.concatenate(weights)\n value = abs(weights)\n # Compute global percentile\n percentile_value = torch_percentile(value, self.percent) #np.percentile(value, self.percent)\n # Now apply the global or compute local factor\n for step, (name, param) in enumerate(self.prune_parameters):\n scale = 1\n # Pointer to the original tensor\n tensor = param.data #.cpu().numpy()\n # Gradient-based selection\n if (self.prune_selection == 'gradient_max'):\n tensor = param.grad#.cpu().numpy()\n elif (self.prune_selection == 'gradient_min'):\n tensor = 1.0 / (torch.abs(param.grad) + 1e-7)#np.abs(param.grad.cpu().numpy())\n #tensor = torch.abs(torch.max(tensor) - tensor) #np.max(tensor) - tensor\n # Compute scaling\n if (self.prune_scale == 'dimension'):\n scale = tensor.size\n if (self.prune_scale == 'normalize'):\n scale = torch.max(torch.abs(tensor)) #np.max(np.abs(tensor))\n if (self.prune_scale == 'xavier'):\n scale = 1.0 / np.sqrt(2.0 / tensor.shape[0] + tensor.shape[1])\n local_weights = tensor\n local_weights /= scale\n # We do not prune bias term\n if (self.prune_scope == 'local'):\n weights = tensor[torch.nonzero(param.data, as_tuple=True)] #tensor[np.nonzero(tensor)]\n # Retrieve non-pruned weights\n value = abs(weights)\n # Compute global percentile\n percentile_value = torch_percentile(value, self.percent)\n # Use the selection function to compute mask\n new_mask = PruningMasking.ranking(self, name, local_weights, percentile_value, self.mask[step])\n # Store the computed mask\n self.mask[step] = new_mask\n step = 0\n return model","def get_ensemble_model_output(\n models,\n batch_x,\n ensemble_method\n):\n batch_ensemble_output = 0\n if ensemble_method == 'hard':\n num_classes = None\n for model in models:\n batch_output = model(batch_x, training=False)\n if ensemble_method == 'hard':\n batch_pred = tf.argmax(batch_output, axis=1)\n if num_classes is None:\n num_classes = batch_output.shape[1]\n batch_one_hot_output = tf.one_hot(batch_pred, num_classes)\n batch_ensemble_output += batch_one_hot_output\n elif ensemble_method == 'soft':\n batch_ensemble_output += batch_output\n else:\n raise ValueError(f'Not supported ensemble method: {ensemble_method}!')\n return batch_ensemble_output / len(models)","def _get_toal_cp_(obj):\n \n fTotal = 0.0\n for item in obj.order_line:\n fTotal += item.purchase_price * item.product_uom_qty\n \n return fTotal","def __call__(self, model):\n\n result = self.relation(model)\n return 0.5 * result.T @ result","def calculate_cumulative_reward(self, gamma: float = 1.0):\n num_transitions = len(self)\n assert num_transitions > 0, \"called on empty trajectory\"\n rewards = self.reward\n discounts = [gamma**i for i in range(num_transitions)]\n return sum(reward * discount for reward, discount in zip(rewards, discounts))","def _model_compute_all(self, inputs):\n\n return self.model.compute_all(inputs)","def netasset(self,coef):\n net_total = sum([share.sharetotal() for share in self.shares])*(1-coef)\n return net_total","def calc(self):\n return None","def get_active_coeff(self):\r\n num_active_coeff = 0\r\n for coefficient in self.model_.coef_:\r\n if abs(coefficient) > 0:\r\n num_active_coeff += 1\r\n return num_active_coeff","def forc_model(self):\n lag1_loc = self.X[self.model_mask_cols].columns.get_loc('shrink_value_per_day_lag1_by_store')\n lag2_loc = self.X[self.model_mask_cols].columns.get_loc('shrink_value_per_day_lag2_by_store')\n for add in self.X.address1.unique():\n add_mask = self.X.address1 == add\n foo = self.X[ add_mask ].sort_values('visit_date', ascending=False)\n top_index = foo.index[0]\n clust = int(foo.cluster.values[0])\n # get values from last visit for store\n base_input = foo[self.model_mask_cols].values[0]\n base_actual = self.y[top_index]\n lag2_val = base_input[lag1_loc]\n lag1_val = base_actual\n\n for i in range(1, self.num_periods + 1):\n model = self.model_list[clust]\n inputs = base_input\n inputs[lag1_loc] = lag1_val\n inputs[lag2_loc] = lag2_val\n \n pred = model.predict(inputs.reshape(1, -1))\n self._update_cust_table(add, i, pred)\n \n lag2_val = lag1_val\n lag1_val = pred","def model(self):\n return self._fit_model()","def comptcptotalquantum(self) :\n\t\ttry :\n\t\t\treturn self._comptcptotalquantum\n\t\texcept Exception as e:\n\t\t\traise e","def result(self):\r\n # TODO: how about xcurrent?\r\n return self.best.get() + (\r\n self.countevals, self.countiter, self.gp.pheno(self.mean), self.gp.scales * self.sigma * self.sigma_vec * self.dC**0.5)","def all_numeric_accumulations(request):\n return request.param","def compute_coherence_values(dictionary, corpus, texts, limit, start=2, step=3):\n coherence_values =[]\n model_list =[]\n for i in range(start,limit,step):\n model=gensim.models.ldamodel.LdaModel(doc_term_matrix, num_topics=i, random_state=2, id2word=dictionary, iterations=10)\n model_list.append(model)\n coherence_model =CoherenceModel(model=model, texts=texts, dictionary=dictionary,coherence='c_v')\n coherence_values.append(coherence_model.get_coherence())\n return model_list,coherence_values","def ModelComputesRates(self):\n return _gmat_py.Attitude_ModelComputesRates(self)","def get_base():\n layers = cut_model(f(True), cut)\n return nn.Sequential(*layers)","def current_knc_coverage():\n covered = 0\n total = 0\n for layer in layer_to_compute:\n covered = covered + np.count_nonzero(knc_cov_dict[layer.name])\n total = total + np.size(knc_cov_dict[layer.name])\n return covered / float(total)","def get_bprop_cumsum(self):\n cumsum = P.CumSum(exclusive=self.exclusive, reverse=not self.reverse)\n\n def bprop(x, axis, out, dout):\n return cumsum(dout, axis), zeros_like(axis)\n return bprop","def summary(self):\n self.model.summary()","def get_exchange_reward_per_euro(model):\n exchanged_euros = get_exchanged_euros(model)\n total_euros = get_total_euros(model) \n total_teos = get_total_teos(model)\n exchange_pool = (total_euros - total_teos)*model.buffer_share*model.exchange_reward_share\n if exchanged_euros == 0 or exchange_pool <= 0:\n return 0\n exchange_reward_per_euro = exchange_pool / exchanged_euros \n return round(float(exchange_reward_per_euro),4)","def current_energy_consumed(self):\n return self.df.imp.sum()","def calc(self):\n data = [self.calc_noise(name) for name in self._noise_objs.keys() if name in self._budget_noises]\n return quadsum(data)","def current_nbc_coverage():\n covered = 0\n total = 0\n for layer in layer_to_compute:\n covered = covered + np.count_nonzero(nbc_cov_dict[layer.name])\n total = total + np.size(nbc_cov_dict[layer.name])\n return covered / float(total)","def FedAvg_agregation_process(model, clients_models_hist:list , weights:list):\n \n new_model=deepcopy(model)\n set_to_zero_model_weights(new_model)\n\n for k,client_hist in enumerate(clients_models_hist):\n \n for idx, layer_weights in enumerate(new_model.parameters()):\n\n contribution=client_hist[idx].data*weights[k]\n layer_weights.data.add_(contribution)\n \n return new_model","def deriv(self, model):\n k1, k2, k3 = self.coefficients\n r = self.relation(model)\n dc_dm1 = k1 * r\n dc_dm2 = k2 * r\n\n result = np.r_[dc_dm1, dc_dm2]\n\n return result","def ensemble(models):\n input_layer= Input(shape=models[0].input_shape[1:])\n for idx,m in enumerate(models):\n m.name= f'model_{idx}'\n outputs = [m(input_layer) for m in models]\n yAvg= average(outputs)\n\n model = Model(inputs=input_layer, outputs=yAvg, name='ensemble')\n \n return model","def get_observed_objective(self) -> float:\n # pylint: disable=invalid-name\n obj = 0.\n for gr in self.grounded.values():\n dist = gr.get_observed_dist_to_satisfaction()\n obj += 1 - self.weight * max(0, dist) ** 2\n return obj","def calcularTotal(self):\n subtotales=[]\n for row in range(0,self.tableFactura.rowCount()):\n subtotales.append(float(self.tableFactura.item(row,2).text()))\n importeTotal=sum(subtotales)\n return importeTotal","def compute_cumulants(self, force=False):\n self._cumulant_computer.compute_cumulants(verbose=self.verbose,\n force=force)","def cumulate(self):\n name = self.getName() + '_Cumulated'\n c_names = self.getColumnNames()\n # create the new table an add the first column to it\n t_cumulate = DataTable(name)\n time = self.getColumn(0)\n t_cumulate.addColumn(c_names[0],time)\n # for each other column, cumulate values \n for i in range(1,self.getNbColumns()):\n c = self.getColumn(i)\n N = [0]\n for j in range(1,len(c)):\n n = (c[j]+c[j-1])/2*(time[j]-time[j-1]) + N[-1]\n N.append(n)\n pass\n t_cumulate.addColumn(c_names[i],N)\n pass\n \n return t_cumulate","def calc(self, xs, us):\n return sum([m.calc(d, x, u)[1] for m, d, x, u in zip(self.runningModels, self.runningDatas, xs[:-1], us)\n ]) + self.terminalModel.calc(self.terminalData, xs[-1])[1]","def evaluate_model(sess, model, data_set):\n total_cost = 0.0\n total_r_cost = 0.0\n total_kl_cost = 0.0\n for batch in range(data_set.num_batches):\n unused_orig_x, x, s = data_set.get_batch(batch)\n feed = {model.input_data: x, model.sequence_lengths: s}\n (cost, r_cost,\n kl_cost) = sess.run([model.cost, model.r_cost, model.kl_cost], feed)\n total_cost += cost\n total_r_cost += r_cost\n total_kl_cost += kl_cost\n\n total_cost /= (data_set.num_batches)\n total_r_cost /= (data_set.num_batches)\n total_kl_cost /= (data_set.num_batches)\n return (total_cost, total_r_cost, total_kl_cost)","def summary(self):\r\n print(self.model.summary())","def get_battery_model(self):\n summary = self.get_version_summary()\n pattern = '\\$.*? .*? .*? .*? .*? .*? .*? (.*?) .*? \\r\\n' \n model = re.findall(pattern,summary).pop()\n return model","def _ave(self):\n return np.asarray(np.mean(self.model_estim.x, axis=0)).flatten()","def compute_network_load(env: ControlledRandomWalk) -> float:\n rho = cvx.Variable()\n zeta = cvx.Variable((env.num_activities, 1))\n objective = cvx.Minimize(rho)\n constraints = [\n env.job_generator.buffer_processing_matrix * zeta + env.job_generator.demand_rate\n == np.zeros((env.num_buffers, 1)),\n env.constituency_matrix * zeta <= rho * np.ones((env.num_resources, 1)),\n zeta >= np.zeros((env.num_activities, 1))\n ]\n prob = cvx.Problem(objective, constraints)\n network_load = prob.solve(solver=cvx.SCS, eps=1e-7)\n return network_load","def model():\n return TimeSeriesMultiReg()","def update_model(self):\n self.model = [[self.cubes[i][j].value for j in range(self.cols)] for i in range(self.rows)]","def get_fuel_total_saved (self):\n return self.electric_diesel_reduction + self.reduction_diesel_used","def prior_model(self) -> Collection:\n return Collection(self.prior)","def get_price_0_cumulative_last(self, pair):\n pair_contract = self.conn.eth.contract(\n address=Web3.toChecksumAddress(pair), abi=SushiswapClient.PAIR_ABI)\n return pair_contract.functions.price0CumulativeLast().call()","def comp_score(self):\n\t\tnr_heads = len(self.deps.keys())\n\t\tcomp_score = nr_heads/float(self.nr_of_deps+1)\n\t\treturn comp_score","def _get_top_models_to_improve(self):\n self._validate_top_models_to_improve()\n if self.top_models_to_improve == \"auto\":\n if self._get_mode() == \"Explain\":\n return 0\n if self._get_mode() == \"Perform\":\n return 2\n if self._get_mode() == \"Compete\":\n return 3\n if self._get_mode() == \"Optuna\":\n return 0\n else:\n return deepcopy(self.top_models_to_improve)","def ymodel ( self ) :\n return self.__ymodel","def cumulative_distribution(self):\n\n cum_dd = []\n sum_p = 0\n for k, p in reversed(self.dd):\n sum_p += p\n cum_dd.append((k, sum_p))\n return list(reversed(cum_dd))","def _calculate_r0(net):\n\n r0 = 0\n for reaction in net.reactions:\n t = reaction.rate(net.species)\n r0 += t\n\n return r0","def GetCostIncurred(self):\r\n return self.costsIncurred","def get_cumgain(df, outcome_col='y', treatment_col='w', treatment_effect_col='tau',\n steps=100, normalize=False, random_seed=42):\n\n cumlift = get_cumlift(df, outcome_col, treatment_col, treatment_effect_col, steps, random_seed)\n\n # cumulative gain = cumulative lift x (# of population)\n cumgain = cumlift.mul(cumlift.index.values, axis=0) / 100 * df.shape[0]\n\n if normalize:\n cumgain = cumgain.div(cumgain.iloc[-1, :], axis=1)\n\n return cumgain","def total(self):\r\n total = 0\r\n in_currency = None\r\n for key in self.attr_dict.keys():\r\n cur = Currency(self.attr_dict[key])\r\n if cur.amount > 0:\r\n # Add currency to the total\r\n total += cur.amount * cur.value\r\n if in_currency is None:\r\n # Use the first currency we find\r\n in_currency = cur\r\n elif cur.value < in_currency.value:\r\n # We want the lowest currency value\r\n in_currency = cur\r\n\r\n # Now we want to return what we have collected\r\n if in_currency is None:\r\n return {'total': 0, 'name': ''}\r\n else:\r\n return {'total': total, 'name': in_currency.name}","def get_base_comp(self):\n return self._main_model.get_base_comp()","def totalmomentum (self):\n tot_p=0.\n for planet in self.planets: #this loop takes each 'planet' momentum in 'self.planets' and sums them.\n tot_p += planet.momentum #'tot_p' is the resulting vector of all momenta vectors.\n total_mom = np.linalg.norm(tot_p) #the 'total_mom' is the total linear momentum's magnitude, which is conserved.\n return (total_mom)","def processed_cum_overall(self):\n self.processed_cum_overall = (\n self.cumulative_stats_for_team_each_year\n [['Season','TeamID','win_rate','total_score','total_opponent_score','fgp','fg3p','ftp', 'total_rebounds','total_off_rebounds','total_def_rebounds',\n 'total_off_rebounds_percent','total_def_rebounds_percent','total_rebound_possession_percent','total_rebound_possessiongain_percent','total_blocks',\n 'total_assists','total_steals','total_turnover','total_personalfoul','total_block_opp_FGA_percent','total_assist_per_fgm','total_assist_turnover_ratio',\n 'expectation_per_game','avg_lose_score_by','avg_win_score_by']]\n )","def _ave(self):\n\n return np.asarray(np.mean(self.model_estim.x, axis=0)).flatten()","def grand_total(self):\n return sum(self.grid[pos][1] for pos in assignable_positions if self.grid[pos][0]) + self.grid[\"nb\"][1]","def get_base_coefs(mv):\n\trs = []\n\tfor bs in bases:\n\t\tt = []\n\t\tfor b in bs:\n\t\t\tt.append(mv.coef(b))\n\t\t\t\t\t\n\t\trs.append(t)\t\t\n\treturn rs","def current_energy_produced(self):\n return self.df.exp.sum()","def compute(self):\n return self.elbo_component / self.get_intervals_recorded()"],"string":"[\n \"def show_cumulative_mig(model):\\r\\n return sum(cumulative_mig_list)\",\n \"def cum_sum(self):\\n\\n # create cdo command and runit\\n cdo_command = \\\"cdo -timcumsum\\\"\\n run_this(cdo_command, self, output=\\\"ensemble\\\")\",\n \"def total_models_produced(self):\\n return self._total_models_produced\",\n \"def cumulate(tobject):\\n # forward suffix\\n return asrootpy(tobject.GetCumulative(True, uuid.uuid4().get_hex()))\",\n \"def cumula():\\n f = open('cumul_depths.tmp','w+')\\n model = np.loadtxt('start_model.dat',dtype={'names': ('H'),'formats': \\\\\\n ('f4')}, skiprows=1,usecols=[0])\\n \\n cumul = 0\\n for i, d in enumerate(model['H'][:-1]): \\n # le dernier est souvent le semi espace donc pas besoin (tres prof)\\n cumul +=d\\n print (\\\"layer \\\", i, \\\" - depth: \\\", cumul)\\n f.write(\\\"%s\\\\n\\\" % cumul)\\n f.close()\",\n \"def get_total_euros(model):\\n total_euros = [v.euro_wallet for k, v in model.schedule.agents_by_type['Customer'].items()]\\n return round(float(np.sum(total_euros)), 2)\",\n \"def _return_t(model):\\n summary = base.summary(model)\\n unsum = base.unclass(summary)\\n return unsum.rx2(\\\"coefficients\\\")[:, -1]\",\n \"def cumprob(self):\\r\\n return self.probabilities.cumsum(-1)\",\n \"def calculate_c_from_card(model_params: define_models.ModelParams,\\n model: define_models.VsvModel,\\n periods: np.array) -> np.array:\\n params = RunParameters(freq_max = 1000 / min(periods) + 1)\\n _ = define_models.convert_vsv_model_to_mineos_model(model, model_params)\\n c, _ = run_mineos(params, periods, model_params.id)\\n\\n return c\",\n \"def temporal_distribution(model):\\n years = range(model.years[0], model.years[-1] + 1)\\n hdd = load_file(model.temporal_files['hdd'], model.resolution, years, regrid_method='intensive')['hdd']\\n cdd = load_file(model.temporal_files['cdd'], model.resolution, years, regrid_method='intensive')['cdd']\\n\\n weights = elec_sector_weights(os.path.join(model.root, model.gcam_db))\\n weights = weights[(weights.region.isin(model.inputs.region[model.inputs.sector == 'Electricity'])) &\\n (weights.region.isin(model.region_masks.region.data)) &\\n (weights.year.isin(model.years))].set_index(['region', 'sector', 'year']\\n )['value'].to_xarray().fillna(0).astype(np.float32)\\n weights = interp_helper(weights)\\n\\n region_masks = model.region_masks.sel(region=weights.region)\\n\\n # this formula is annoying to implement because of the hdd/cdd thresholds and reallocation of weights\\n hdd_sums = hdd.sum(dim='month')\\n cdd_sums = cdd.sum(dim='month')\\n\\n # when hdd under threshold but cdd above threshold, cooling percent is added to heating signal\\n hdd = xr.where((hdd_sums < 650) & (cdd_sums >= 450), cdd, hdd)\\n # when cdd under threshold but hdd above threshold, heating percent is added to cooling signal\\n cdd = xr.where((cdd_sums < 450) & (hdd_sums >= 650), hdd, cdd)\\n # when neither are above threshold, both are reallocated to other category, and demand does not depend hdd or cdd\\n hdd = xr.where((hdd_sums < 650) & (cdd_sums < 450), 1 / 12, hdd)\\n cdd = xr.where((hdd_sums < 650) & (cdd_sums < 450), 1 / 12, cdd)\\n\\n # redo sums based on reallocation\\n hdd_sums = hdd.sum(dim='month')\\n cdd_sums = cdd.sum(dim='month')\\n # prevent 0/0\\n hdd_sums = xr.where(hdd_sums != 0, hdd_sums, 1)\\n cdd_sums = xr.where(cdd_sums != 0, cdd_sums, 1)\\n hdd /= hdd_sums\\n cdd /= cdd_sums\\n\\n distribution = xr.concat([hdd, cdd, xr.full_like(hdd, 1/12)],\\n dim=pd.Series(['Heating', 'Cooling', 'Other'], name='sector'))\\n\\n distribution = distribution.where(region_masks, 0)\\n distribution = distribution.dot(weights, dims=('sector', 'region'))\\n\\n return distribution\",\n \"def _model(self):\\n common_scale = self.edp_par['common_scale'].value\\n model = self.F_trans() * self.F_cont()\\n # get F(h=1,k=0), which is used for normalization \\n # common_scale is a common scaling factor => F(h=1,k=0) = 100*common_scale\\n F_10 = model[(self.h==1)&(self.k==0)]\\n model = model / np.absolute(F_10) * 100 * common_scale\\n return model\",\n \"def coef_(self):\\n assert self.sess is not None, \\\"Model has not been fitted yet!\\\"\\n return self.sess.run(self.W_lst)[0]\",\n \"def cumulative_distribution(self, X):\\n raise NotImplementedError\",\n \"def cumsum(module, y, dimension):\\n _import_modules()\\n if module in [np, ma, torch, jnp]:\\n return module.cumsum(y, axis=dimension)\\n elif module == tf:\\n return tf.math.cumsum(y, dimension)\",\n \"def cumulative(requestContext, seriesList, consolidationFunc='sum'):\\n return consolidateBy(requestContext, seriesList, 'sum')\",\n \"def _tf_model_coeffs(self):\\n tf = self.tf\\n with self._tf_graph.as_default():\\n with tf.variable_scope(\\\"model\\\", reuse=tf.AUTO_REUSE):\\n return tf.get_variable(\\\"R\\\", [self.n_nodes, self.n_nodes],\\n dtype=tf.float64)\",\n \"def continuous_model():\\n return {\\\"x\\\": np.random.beta(2, 5, size=100), \\\"y\\\": np.random.beta(2, 5, size=100)}\",\n \"def get_latest_model():\\n return get_models()[-1]\",\n \"def calcEout(model_type): \\n b, v = calcStatistics(model_type)\\n return b + v\",\n \"def _get_current_delta(model):\\n delta = []\\n _delta = []\\n for i in MILPSolver.prob.nn.layers:\\n (s, e) = vmodel.get_var_indices(i.depth, 'delta')\\n d = model._vars[s:e]\\n _d = np.asarray(model.cbGetNodeRel(d))\\n delta.append(d)\\n _delta.append(_d)\\n\\n return delta, _delta\",\n \"def total_clearance(self):\\n total_clearances = 0\\n debit = 0 #variable to track the remaining debit\\n clearances = self.clearance_set.all() #grab all the previous clerances\\n for clearance in clearances:\\n total_clearances += clearance.paid_value\\n return total_clearances\",\n \"def fetch_models(self):\\n if self.model_pool is None:\\n print(\\\"Please train a model first.\\\", file=STDE)\\n EXIT(1)\\n else:\\n return [copy.deepcopy(m.steps[-1][-1]) for m in self.model_pool]\",\n \"def coeff_totals(self):\\n update_set = []\\n coeff_tots = []\\n for i,u in enumerate(self.updates):\\n if not u in update_set:\\n update_set.append(u)\\n coeff_tots.append(0.0)\\n for j,u2 in enumerate(update_set):\\n if u is u2:\\n coeff_tots[j] += self.coeff[i]\\n return update_set, coeff_tots\",\n \"def get_model_count(self):\\n return len(self._model_start_i)\",\n \"def data(self, model, with_aux=True):\\n\\n try:\\n observed_data = sum(\\n (self.observations[c] for c in model.config.channels), []\\n )\\n except KeyError:\\n log.error(\\n \\\"Invalid channel: the workspace does not have observation data for one of the channels in the model.\\\"\\n )\\n raise\\n if with_aux:\\n observed_data += model.config.auxdata\\n return observed_data\",\n \"def get_cumulative(self, search_items, csv=False, output_dir=None, extra_param=None):\\n\\n # Get data from api and create objects\\n api_datas = self.call_api(search_items, \\\"probability\\\", \\\"cumulative\\\", \\\"property\\\", extra_param=extra_param)\\n product = [ProbabilityCumulative(api_data) for api_data in api_datas]\\n\\n if csv:\\n csv_format.to_csv(product, \\\"probability\\\", \\\"cumulative\\\", output_dir=output_dir)\\n\\n logging.info(\\\"Probability Cumulative Data Ready.\\\")\\n\\n return product\",\n \"def total_models_updated(self):\\n return self._total_models_updated\",\n \"def return_coef(self):\\n try:\\n model_coef = self.cmodel.coef_\\n except:\\n model_coef = 'Model does not have a .coef_ attribute.'\\n\\n return model_coef\",\n \"def get_total_teos(model):\\n total_teos = [v.teo_wallet for k, v in model.schedule.agents_by_type['Customer'].items()]\\n return round(float(np.sum(total_teos)), 2)\",\n \"def cal_F1(loader, model):\\n correct = 0\\n total = 0\\n model.eval()\\n cof_mat = np.zeros ((4,4))\\n Ns = np.zeros(4)\\n ns = np.zeros(4)\\n for data, labels in loader:\\n data_batch, label_batch = data.to(device), labels.to(device)\\n outputs = F.softmax(model(data_batch), dim=1)\\n predicted = outputs.max(1, keepdim=True)[1]\\n total += label_batch.size(0)\\n correct += predicted.eq(label_batch.view_as(predicted)).sum().item()\\n acc = label_batch.view_as(predicted)\\n for (a,p) in zip(acc, predicted):\\n cof_mat[a][p] += 1\\n Ns[a] += 1\\n ns[p] += 1\\n F1 = 0.0\\n for i in range(len(Ns)):\\n tempF = cof_mat[i][i]*2.0 /(Ns[i] + ns[i])\\n F1 = F1+ tempF\\n print('F1'+str(i)+':',tempF)\\n F1 = F1/4.0\\n print('cofmat',cof_mat)\\n return 100 * correct / total, F1\",\n \"def get_exchanged_euros(model):\\n exchanged_euros = np.sum([v.exchanged_euros for k, v in model.schedule.agents_by_type['Customer'].items()])\\n return round(float(np.sum(exchanged_euros)), 2)\",\n \"def cumsum(self):\\n return self._lift(lambda c: c.cumsum)\",\n \"def front_column_model_p_gain():\",\n \"def _calc_reactions(model, log=False, combo_tags=None):\\n\\n # Print a status update to the console\\n if log: print('- Calculating reactions')\\n\\n # Identify which load combinations to evaluate\\n if combo_tags is None:\\n combo_list = model.LoadCombos.values()\\n else:\\n combo_list = []\\n for combo in model.LoadCombos.values():\\n if any(tag in combo.combo_tags for tag in combo_tags):\\n combo_list.append(combo)\\n\\n # Calculate the reactions node by node\\n for node in model.Nodes.values():\\n \\n # Step through each load combination\\n for combo in combo_list:\\n \\n # Initialize reactions for this node and load combination\\n node.RxnFX[combo.name] = 0.0\\n node.RxnFY[combo.name] = 0.0\\n node.RxnFZ[combo.name] = 0.0\\n node.RxnMX[combo.name] = 0.0\\n node.RxnMY[combo.name] = 0.0\\n node.RxnMZ[combo.name] = 0.0\\n\\n # Determine if the node has any supports\\n if (node.support_DX or node.support_DY or node.support_DZ \\n or node.support_RX or node.support_RY or node.support_RZ):\\n\\n # Sum the spring end forces at the node\\n for spring in model.Springs.values():\\n\\n if spring.i_node == node and spring.active[combo.name] == True:\\n \\n # Get the spring's global force matrix\\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \\n spring_F = spring.F(combo.name)\\n\\n node.RxnFX[combo.name] += spring_F[0, 0]\\n node.RxnFY[combo.name] += spring_F[1, 0]\\n node.RxnFZ[combo.name] += spring_F[2, 0]\\n node.RxnMX[combo.name] += spring_F[3, 0]\\n node.RxnMY[combo.name] += spring_F[4, 0]\\n node.RxnMZ[combo.name] += spring_F[5, 0]\\n\\n elif spring.j_node == node and spring.active[combo.name] == True:\\n \\n # Get the spring's global force matrix\\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \\n spring_F = spring.F(combo.name)\\n \\n node.RxnFX[combo.name] += spring_F[6, 0]\\n node.RxnFY[combo.name] += spring_F[7, 0]\\n node.RxnFZ[combo.name] += spring_F[8, 0]\\n node.RxnMX[combo.name] += spring_F[9, 0]\\n node.RxnMY[combo.name] += spring_F[10, 0]\\n node.RxnMZ[combo.name] += spring_F[11, 0]\\n\\n # Step through each physical member in the model\\n for phys_member in model.Members.values():\\n\\n # Sum the sub-member end forces at the node\\n for member in phys_member.sub_members.values():\\n \\n if member.i_node == node and phys_member.active[combo.name] == True:\\n \\n # Get the member's global force matrix\\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \\n member_F = member.F(combo.name)\\n\\n node.RxnFX[combo.name] += member_F[0, 0]\\n node.RxnFY[combo.name] += member_F[1, 0]\\n node.RxnFZ[combo.name] += member_F[2, 0]\\n node.RxnMX[combo.name] += member_F[3, 0]\\n node.RxnMY[combo.name] += member_F[4, 0]\\n node.RxnMZ[combo.name] += member_F[5, 0]\\n\\n elif member.j_node == node and phys_member.active[combo.name] == True:\\n \\n # Get the member's global force matrix\\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \\n member_F = member.F(combo.name)\\n \\n node.RxnFX[combo.name] += member_F[6, 0]\\n node.RxnFY[combo.name] += member_F[7, 0]\\n node.RxnFZ[combo.name] += member_F[8, 0]\\n node.RxnMX[combo.name] += member_F[9, 0]\\n node.RxnMY[combo.name] += member_F[10, 0]\\n node.RxnMZ[combo.name] += member_F[11, 0]\\n\\n # Sum the plate forces at the node\\n for plate in model.Plates.values():\\n\\n if plate.i_node == node:\\n\\n # Get the plate's global force matrix\\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \\n plate_F = plate.F(combo.name)\\n \\n node.RxnFX[combo.name] += plate_F[0, 0]\\n node.RxnFY[combo.name] += plate_F[1, 0]\\n node.RxnFZ[combo.name] += plate_F[2, 0]\\n node.RxnMX[combo.name] += plate_F[3, 0]\\n node.RxnMY[combo.name] += plate_F[4, 0]\\n node.RxnMZ[combo.name] += plate_F[5, 0]\\n\\n elif plate.j_node == node:\\n\\n # Get the plate's global force matrix\\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \\n plate_F = plate.F(combo.name)\\n \\n node.RxnFX[combo.name] += plate_F[6, 0]\\n node.RxnFY[combo.name] += plate_F[7, 0]\\n node.RxnFZ[combo.name] += plate_F[8, 0]\\n node.RxnMX[combo.name] += plate_F[9, 0]\\n node.RxnMY[combo.name] += plate_F[10, 0]\\n node.RxnMZ[combo.name] += plate_F[11, 0]\\n\\n elif plate.m_node == node:\\n\\n # Get the plate's global force matrix\\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \\n plate_F = plate.F(combo.name)\\n \\n node.RxnFX[combo.name] += plate_F[12, 0]\\n node.RxnFY[combo.name] += plate_F[13, 0]\\n node.RxnFZ[combo.name] += plate_F[14, 0]\\n node.RxnMX[combo.name] += plate_F[15, 0]\\n node.RxnMY[combo.name] += plate_F[16, 0]\\n node.RxnMZ[combo.name] += plate_F[17, 0]\\n\\n elif plate.n_node == node:\\n\\n # Get the plate's global force matrix\\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \\n plate_F = plate.F(combo.name)\\n \\n node.RxnFX[combo.name] += plate_F[18, 0]\\n node.RxnFY[combo.name] += plate_F[19, 0]\\n node.RxnFZ[combo.name] += plate_F[20, 0]\\n node.RxnMX[combo.name] += plate_F[21, 0]\\n node.RxnMY[combo.name] += plate_F[22, 0]\\n node.RxnMZ[combo.name] += plate_F[23, 0]\\n\\n # Sum the quad forces at the node\\n for quad in model.Quads.values():\\n\\n if quad.m_node == node:\\n\\n # Get the quad's global force matrix\\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \\n quad_F = quad.F(combo.name)\\n\\n node.RxnFX[combo.name] += quad_F[0, 0]\\n node.RxnFY[combo.name] += quad_F[1, 0]\\n node.RxnFZ[combo.name] += quad_F[2, 0]\\n node.RxnMX[combo.name] += quad_F[3, 0]\\n node.RxnMY[combo.name] += quad_F[4, 0]\\n node.RxnMZ[combo.name] += quad_F[5, 0]\\n\\n elif quad.n_node == node:\\n\\n # Get the quad's global force matrix\\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \\n quad_F = quad.F(combo.name)\\n \\n node.RxnFX[combo.name] += quad_F[6, 0]\\n node.RxnFY[combo.name] += quad_F[7, 0]\\n node.RxnFZ[combo.name] += quad_F[8, 0]\\n node.RxnMX[combo.name] += quad_F[9, 0]\\n node.RxnMY[combo.name] += quad_F[10, 0]\\n node.RxnMZ[combo.name] += quad_F[11, 0]\\n\\n elif quad.i_node == node:\\n\\n # Get the quad's global force matrix\\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \\n quad_F = quad.F(combo.name)\\n \\n node.RxnFX[combo.name] += quad_F[12, 0]\\n node.RxnFY[combo.name] += quad_F[13, 0]\\n node.RxnFZ[combo.name] += quad_F[14, 0]\\n node.RxnMX[combo.name] += quad_F[15, 0]\\n node.RxnMY[combo.name] += quad_F[16, 0]\\n node.RxnMZ[combo.name] += quad_F[17, 0]\\n\\n elif quad.j_node == node:\\n\\n # Get the quad's global force matrix\\n # Storing it as a local variable eliminates the need to rebuild it every time a term is needed \\n quad_F = quad.F(combo.name)\\n \\n node.RxnFX[combo.name] += quad_F[18, 0]\\n node.RxnFY[combo.name] += quad_F[19, 0]\\n node.RxnFZ[combo.name] += quad_F[20, 0]\\n node.RxnMX[combo.name] += quad_F[21, 0]\\n node.RxnMY[combo.name] += quad_F[22, 0]\\n node.RxnMZ[combo.name] += quad_F[23, 0]\\n \\n # Sum the joint loads applied to the node\\n for load in node.NodeLoads:\\n\\n for case, factor in combo.factors.items():\\n \\n if load[2] == case:\\n\\n if load[0] == 'FX':\\n node.RxnFX[combo.name] -= load[1]*factor\\n elif load[0] == 'FY':\\n node.RxnFY[combo.name] -= load[1]*factor\\n elif load[0] == 'FZ':\\n node.RxnFZ[combo.name] -= load[1]*factor\\n elif load[0] == 'MX':\\n node.RxnMX[combo.name] -= load[1]*factor\\n elif load[0] == 'MY':\\n node.RxnMY[combo.name] -= load[1]*factor\\n elif load[0] == 'MZ':\\n node.RxnMZ[combo.name] -= load[1]*factor\\n \\n # Calculate reactions due to active spring supports at the node\\n elif node.spring_DX[0] != None and node.spring_DX[2] == True:\\n sign = node.spring_DX[1]\\n k = node.spring_DX[0]\\n if sign != None: k = float(sign + str(k))\\n DX = node.DX[combo.name]\\n node.RxnFX[combo.name] += k*DX\\n elif node.spring_DY[0] != None and node.spring_DY[2] == True:\\n sign = node.spring_DY[1]\\n k = node.spring_DY[0]\\n if sign != None: k = float(sign + str(k))\\n DY = node.DY[combo.name]\\n node.RxnFY[combo.name] += k*DY\\n elif node.spring_DZ[0] != None and node.spring_DZ[2] == True:\\n sign = node.spring_DZ[1]\\n k = node.spring_DZ[0]\\n if sign != None: k = float(sign + str(k))\\n DZ = node.DZ[combo.name]\\n node.RxnFZ[combo.name] += k*DZ\\n elif node.spring_RX[0] != None and node.spring_RX[2] == True:\\n sign = node.spring_RX[1]\\n k = node.spring_RX[0]\\n if sign != None: k = float(sign + str(k))\\n RX = node.RX[combo.name]\\n node.RxnMX[combo.name] += k*RX\\n elif node.spring_RY[0] != None and node.spring_RY[2] == True:\\n sign = node.spring_RY[1]\\n k = node.spring_RY[0]\\n if sign != None: k = float(sign + str(k))\\n RY = node.RY[combo.name]\\n node.RxnMY[combo.name] += k*RY\\n elif node.spring_RZ[0] != None and node.spring_RZ[2] == True:\\n sign = node.spring_RZ[1]\\n k = node.spring_RZ[0]\\n if sign != None: k = float(sign + str(k))\\n RZ = node.RZ[combo.name]\\n node.RxnMZ[combo.name] += k*RZ\",\n \"def merge_sub_models(self) -> None:\\n # to get the transition_matrix for the ensemble model, we average the\\n # transition matrices of the children model\\n if not self.use_crf:\\n return\\n transition_matrix = torch.mean(\\n torch.cat(\\n tuple(\\n model.output_layer.word_output.crf.get_transitions().unsqueeze(0)\\n for model in self.models\\n ),\\n dim=0,\\n ),\\n dim=0,\\n )\\n self.output_layer.word_output.crf.set_transitions(transition_matrix)\",\n \"def cumulative_returns(self):\\n return (1 + self.pct_change).cumprod()\",\n \"def getModel(self):\\n m,n = self.m,self.n\\n A = np.zeros((m,m))\\n B = np.zeros((m,n))\\n C = np.zeros(m)\\n Apattern,Bpattern,Cpattern = self.coeffPattern\\n for i,e in enumerate(self.estimators):\\n aofs = 0\\n bofs = m\\n cofs = m+n\\n if Apattern==None:\\n ai = e.x[aofs:m+aofs]\\n else:\\n bofs=aofs\\n ai = []\\n for j,pj in enumerate(Apattern[i]):\\n if pj == None:\\n ai.append(e.x[bofs])\\n bofs += 1\\n else:\\n ai.append(pj)\\n if Bpattern==None:\\n bi = e.x[bofs:n+bofs]\\n else:\\n cofs=bofs\\n bi = []\\n for j,pj in enumerate(Bpattern[i]):\\n if pj == None:\\n bi.append(e.x[cofs])\\n cofs += 1\\n else:\\n bi.append(pj)\\n if Cpattern==None:\\n ci = e.x[cofs]\\n cofs+=1\\n else:\\n if Cpattern[i] == None:\\n ci = e.x[cofs]\\n cofs+=1\\n else:\\n ci = Cpattern[i]\\n assert(cofs == e.n)\\n assert len(ai)==m\\n assert len(bi)==n\\n A[i,:] = ai\\n B[i,:] = bi\\n C[i] = ci\\n return (A,B,C)\",\n \"def get_ensemble_model_margin(\\n models,\\n batch_x,\\n ensemble_method\\n):\\n batch_ensemble_output = 0\\n if ensemble_method == 'hard':\\n num_classes = None\\n for model in models:\\n batch_output = model(batch_x, training=False)\\n if ensemble_method == 'hard':\\n batch_pred = tf.argmax(batch_output, axis=1)\\n if num_classes is None:\\n num_classes = batch_output.shape[1]\\n batch_one_hot_output = tf.one_hot(batch_pred, num_classes)\\n batch_ensemble_output += batch_one_hot_output\\n elif ensemble_method == 'soft':\\n batch_ensemble_output += batch_output\\n else:\\n raise ValueError(f'Not supported ensemble method: {ensemble_method}!')\\n batch_ensemble_output = batch_ensemble_output / len(models)\\n batch_sorted_ensemble_outputs = tf.sort(\\n batch_ensemble_output, direction='DESCENDING', axis=1\\n )\\n batch_margins = (\\n batch_sorted_ensemble_outputs[:, 0] - batch_sorted_ensemble_outputs[:, 1]\\n )\\n return batch_margins\",\n \"def getTotalReward(self):\\n return self.cumreward\",\n \"def getTotalReward(self):\\n return self.cumreward\",\n \"def relation(self, model):\\n m1, m2 = self.wire_map * model\\n k1, k2, k3 = self.coefficients\\n\\n return k1 * m1 + k2 * m2 + k3\",\n \"def calc_coherence(model, corpus):\\n cm = CoherenceModel(model=model, corpus=corpus, coherence='u_mass')\\n coherence = cm.get_coherence()\\n print(timestamp(),\\\"Topic coherence:\\\", coherence)\",\n \"def step(self, model):\\n weights = []\\n if (self.prune_scope == 'global'):\\n # First collect all weights\\n for step, (name, param) in enumerate(self.prune_parameters):\\n scale = 1\\n # Pointer to the original tensor\\n tensor = param.data#.cpu().numpy()\\n # Gradient-based selection\\n if (self.prune_selection == 'gradient_max'):\\n grad = param.grad#.cpu().numpy()\\n tensor = grad[torch.nonzero(tensor, as_tuple=True)]#np.nonzero(tensor)]\\n elif (self.prune_selection == 'gradient_min'):\\n grad = 1 / (torch.abs(param.grad) + 1e-7) #.cpu().numpy()\\n tensor = grad[torch.nonzero(tensor, as_tuple=True)]#np.nonzero(tensor)]\\n #tensor = torch.abs(torch.max(tensor) - tensor) #np.max(tensor) - tensor\\n # Retrieve non-pruned weights\\n if (self.prune_scale == 'dimension'):\\n scale = tensor.size\\n if (self.prune_scale == 'normalize'):\\n scale = torch.max(torch.abs(tensor))#np.max(np.abs(tensor))\\n if (self.prune_scale == 'xavier'):\\n scale = 1.0 / np.sqrt(2.0 / tensor.shape[0] + tensor.shape[1])\\n alive = tensor[torch.nonzero(tensor, as_tuple=True)]#np.nonzero(tensor)]\\n alive /= scale \\n # Add to global weights\\n weights.append(alive)\\n # Flatten the whole weights\\n weights = torch.cat(weights)#np.concatenate(weights)\\n value = abs(weights)\\n # Compute global percentile\\n percentile_value = torch_percentile(value, self.percent) #np.percentile(value, self.percent)\\n # Now apply the global or compute local factor\\n for step, (name, param) in enumerate(self.prune_parameters):\\n scale = 1\\n # Pointer to the original tensor\\n tensor = param.data #.cpu().numpy()\\n # Gradient-based selection\\n if (self.prune_selection == 'gradient_max'):\\n tensor = param.grad#.cpu().numpy()\\n elif (self.prune_selection == 'gradient_min'):\\n tensor = 1.0 / (torch.abs(param.grad) + 1e-7)#np.abs(param.grad.cpu().numpy())\\n #tensor = torch.abs(torch.max(tensor) - tensor) #np.max(tensor) - tensor\\n # Compute scaling\\n if (self.prune_scale == 'dimension'):\\n scale = tensor.size\\n if (self.prune_scale == 'normalize'):\\n scale = torch.max(torch.abs(tensor)) #np.max(np.abs(tensor))\\n if (self.prune_scale == 'xavier'):\\n scale = 1.0 / np.sqrt(2.0 / tensor.shape[0] + tensor.shape[1])\\n local_weights = tensor\\n local_weights /= scale\\n # We do not prune bias term\\n if (self.prune_scope == 'local'):\\n weights = tensor[torch.nonzero(param.data, as_tuple=True)] #tensor[np.nonzero(tensor)]\\n # Retrieve non-pruned weights\\n value = abs(weights)\\n # Compute global percentile\\n percentile_value = torch_percentile(value, self.percent)\\n # Use the selection function to compute mask\\n new_mask = PruningMasking.ranking(self, name, local_weights, percentile_value, self.mask[step])\\n # Store the computed mask\\n self.mask[step] = new_mask\\n step = 0\\n return model\",\n \"def get_ensemble_model_output(\\n models,\\n batch_x,\\n ensemble_method\\n):\\n batch_ensemble_output = 0\\n if ensemble_method == 'hard':\\n num_classes = None\\n for model in models:\\n batch_output = model(batch_x, training=False)\\n if ensemble_method == 'hard':\\n batch_pred = tf.argmax(batch_output, axis=1)\\n if num_classes is None:\\n num_classes = batch_output.shape[1]\\n batch_one_hot_output = tf.one_hot(batch_pred, num_classes)\\n batch_ensemble_output += batch_one_hot_output\\n elif ensemble_method == 'soft':\\n batch_ensemble_output += batch_output\\n else:\\n raise ValueError(f'Not supported ensemble method: {ensemble_method}!')\\n return batch_ensemble_output / len(models)\",\n \"def _get_toal_cp_(obj):\\n \\n fTotal = 0.0\\n for item in obj.order_line:\\n fTotal += item.purchase_price * item.product_uom_qty\\n \\n return fTotal\",\n \"def __call__(self, model):\\n\\n result = self.relation(model)\\n return 0.5 * result.T @ result\",\n \"def calculate_cumulative_reward(self, gamma: float = 1.0):\\n num_transitions = len(self)\\n assert num_transitions > 0, \\\"called on empty trajectory\\\"\\n rewards = self.reward\\n discounts = [gamma**i for i in range(num_transitions)]\\n return sum(reward * discount for reward, discount in zip(rewards, discounts))\",\n \"def _model_compute_all(self, inputs):\\n\\n return self.model.compute_all(inputs)\",\n \"def netasset(self,coef):\\n net_total = sum([share.sharetotal() for share in self.shares])*(1-coef)\\n return net_total\",\n \"def calc(self):\\n return None\",\n \"def get_active_coeff(self):\\r\\n num_active_coeff = 0\\r\\n for coefficient in self.model_.coef_:\\r\\n if abs(coefficient) > 0:\\r\\n num_active_coeff += 1\\r\\n return num_active_coeff\",\n \"def forc_model(self):\\n lag1_loc = self.X[self.model_mask_cols].columns.get_loc('shrink_value_per_day_lag1_by_store')\\n lag2_loc = self.X[self.model_mask_cols].columns.get_loc('shrink_value_per_day_lag2_by_store')\\n for add in self.X.address1.unique():\\n add_mask = self.X.address1 == add\\n foo = self.X[ add_mask ].sort_values('visit_date', ascending=False)\\n top_index = foo.index[0]\\n clust = int(foo.cluster.values[0])\\n # get values from last visit for store\\n base_input = foo[self.model_mask_cols].values[0]\\n base_actual = self.y[top_index]\\n lag2_val = base_input[lag1_loc]\\n lag1_val = base_actual\\n\\n for i in range(1, self.num_periods + 1):\\n model = self.model_list[clust]\\n inputs = base_input\\n inputs[lag1_loc] = lag1_val\\n inputs[lag2_loc] = lag2_val\\n \\n pred = model.predict(inputs.reshape(1, -1))\\n self._update_cust_table(add, i, pred)\\n \\n lag2_val = lag1_val\\n lag1_val = pred\",\n \"def model(self):\\n return self._fit_model()\",\n \"def comptcptotalquantum(self) :\\n\\t\\ttry :\\n\\t\\t\\treturn self._comptcptotalquantum\\n\\t\\texcept Exception as e:\\n\\t\\t\\traise e\",\n \"def result(self):\\r\\n # TODO: how about xcurrent?\\r\\n return self.best.get() + (\\r\\n self.countevals, self.countiter, self.gp.pheno(self.mean), self.gp.scales * self.sigma * self.sigma_vec * self.dC**0.5)\",\n \"def all_numeric_accumulations(request):\\n return request.param\",\n \"def compute_coherence_values(dictionary, corpus, texts, limit, start=2, step=3):\\n coherence_values =[]\\n model_list =[]\\n for i in range(start,limit,step):\\n model=gensim.models.ldamodel.LdaModel(doc_term_matrix, num_topics=i, random_state=2, id2word=dictionary, iterations=10)\\n model_list.append(model)\\n coherence_model =CoherenceModel(model=model, texts=texts, dictionary=dictionary,coherence='c_v')\\n coherence_values.append(coherence_model.get_coherence())\\n return model_list,coherence_values\",\n \"def ModelComputesRates(self):\\n return _gmat_py.Attitude_ModelComputesRates(self)\",\n \"def get_base():\\n layers = cut_model(f(True), cut)\\n return nn.Sequential(*layers)\",\n \"def current_knc_coverage():\\n covered = 0\\n total = 0\\n for layer in layer_to_compute:\\n covered = covered + np.count_nonzero(knc_cov_dict[layer.name])\\n total = total + np.size(knc_cov_dict[layer.name])\\n return covered / float(total)\",\n \"def get_bprop_cumsum(self):\\n cumsum = P.CumSum(exclusive=self.exclusive, reverse=not self.reverse)\\n\\n def bprop(x, axis, out, dout):\\n return cumsum(dout, axis), zeros_like(axis)\\n return bprop\",\n \"def summary(self):\\n self.model.summary()\",\n \"def get_exchange_reward_per_euro(model):\\n exchanged_euros = get_exchanged_euros(model)\\n total_euros = get_total_euros(model) \\n total_teos = get_total_teos(model)\\n exchange_pool = (total_euros - total_teos)*model.buffer_share*model.exchange_reward_share\\n if exchanged_euros == 0 or exchange_pool <= 0:\\n return 0\\n exchange_reward_per_euro = exchange_pool / exchanged_euros \\n return round(float(exchange_reward_per_euro),4)\",\n \"def current_energy_consumed(self):\\n return self.df.imp.sum()\",\n \"def calc(self):\\n data = [self.calc_noise(name) for name in self._noise_objs.keys() if name in self._budget_noises]\\n return quadsum(data)\",\n \"def current_nbc_coverage():\\n covered = 0\\n total = 0\\n for layer in layer_to_compute:\\n covered = covered + np.count_nonzero(nbc_cov_dict[layer.name])\\n total = total + np.size(nbc_cov_dict[layer.name])\\n return covered / float(total)\",\n \"def FedAvg_agregation_process(model, clients_models_hist:list , weights:list):\\n \\n new_model=deepcopy(model)\\n set_to_zero_model_weights(new_model)\\n\\n for k,client_hist in enumerate(clients_models_hist):\\n \\n for idx, layer_weights in enumerate(new_model.parameters()):\\n\\n contribution=client_hist[idx].data*weights[k]\\n layer_weights.data.add_(contribution)\\n \\n return new_model\",\n \"def deriv(self, model):\\n k1, k2, k3 = self.coefficients\\n r = self.relation(model)\\n dc_dm1 = k1 * r\\n dc_dm2 = k2 * r\\n\\n result = np.r_[dc_dm1, dc_dm2]\\n\\n return result\",\n \"def ensemble(models):\\n input_layer= Input(shape=models[0].input_shape[1:])\\n for idx,m in enumerate(models):\\n m.name= f'model_{idx}'\\n outputs = [m(input_layer) for m in models]\\n yAvg= average(outputs)\\n\\n model = Model(inputs=input_layer, outputs=yAvg, name='ensemble')\\n \\n return model\",\n \"def get_observed_objective(self) -> float:\\n # pylint: disable=invalid-name\\n obj = 0.\\n for gr in self.grounded.values():\\n dist = gr.get_observed_dist_to_satisfaction()\\n obj += 1 - self.weight * max(0, dist) ** 2\\n return obj\",\n \"def calcularTotal(self):\\n subtotales=[]\\n for row in range(0,self.tableFactura.rowCount()):\\n subtotales.append(float(self.tableFactura.item(row,2).text()))\\n importeTotal=sum(subtotales)\\n return importeTotal\",\n \"def compute_cumulants(self, force=False):\\n self._cumulant_computer.compute_cumulants(verbose=self.verbose,\\n force=force)\",\n \"def cumulate(self):\\n name = self.getName() + '_Cumulated'\\n c_names = self.getColumnNames()\\n # create the new table an add the first column to it\\n t_cumulate = DataTable(name)\\n time = self.getColumn(0)\\n t_cumulate.addColumn(c_names[0],time)\\n # for each other column, cumulate values \\n for i in range(1,self.getNbColumns()):\\n c = self.getColumn(i)\\n N = [0]\\n for j in range(1,len(c)):\\n n = (c[j]+c[j-1])/2*(time[j]-time[j-1]) + N[-1]\\n N.append(n)\\n pass\\n t_cumulate.addColumn(c_names[i],N)\\n pass\\n \\n return t_cumulate\",\n \"def calc(self, xs, us):\\n return sum([m.calc(d, x, u)[1] for m, d, x, u in zip(self.runningModels, self.runningDatas, xs[:-1], us)\\n ]) + self.terminalModel.calc(self.terminalData, xs[-1])[1]\",\n \"def evaluate_model(sess, model, data_set):\\n total_cost = 0.0\\n total_r_cost = 0.0\\n total_kl_cost = 0.0\\n for batch in range(data_set.num_batches):\\n unused_orig_x, x, s = data_set.get_batch(batch)\\n feed = {model.input_data: x, model.sequence_lengths: s}\\n (cost, r_cost,\\n kl_cost) = sess.run([model.cost, model.r_cost, model.kl_cost], feed)\\n total_cost += cost\\n total_r_cost += r_cost\\n total_kl_cost += kl_cost\\n\\n total_cost /= (data_set.num_batches)\\n total_r_cost /= (data_set.num_batches)\\n total_kl_cost /= (data_set.num_batches)\\n return (total_cost, total_r_cost, total_kl_cost)\",\n \"def summary(self):\\r\\n print(self.model.summary())\",\n \"def get_battery_model(self):\\n summary = self.get_version_summary()\\n pattern = '\\\\$.*? .*? .*? .*? .*? .*? .*? (.*?) .*? \\\\r\\\\n' \\n model = re.findall(pattern,summary).pop()\\n return model\",\n \"def _ave(self):\\n return np.asarray(np.mean(self.model_estim.x, axis=0)).flatten()\",\n \"def compute_network_load(env: ControlledRandomWalk) -> float:\\n rho = cvx.Variable()\\n zeta = cvx.Variable((env.num_activities, 1))\\n objective = cvx.Minimize(rho)\\n constraints = [\\n env.job_generator.buffer_processing_matrix * zeta + env.job_generator.demand_rate\\n == np.zeros((env.num_buffers, 1)),\\n env.constituency_matrix * zeta <= rho * np.ones((env.num_resources, 1)),\\n zeta >= np.zeros((env.num_activities, 1))\\n ]\\n prob = cvx.Problem(objective, constraints)\\n network_load = prob.solve(solver=cvx.SCS, eps=1e-7)\\n return network_load\",\n \"def model():\\n return TimeSeriesMultiReg()\",\n \"def update_model(self):\\n self.model = [[self.cubes[i][j].value for j in range(self.cols)] for i in range(self.rows)]\",\n \"def get_fuel_total_saved (self):\\n return self.electric_diesel_reduction + self.reduction_diesel_used\",\n \"def prior_model(self) -> Collection:\\n return Collection(self.prior)\",\n \"def get_price_0_cumulative_last(self, pair):\\n pair_contract = self.conn.eth.contract(\\n address=Web3.toChecksumAddress(pair), abi=SushiswapClient.PAIR_ABI)\\n return pair_contract.functions.price0CumulativeLast().call()\",\n \"def comp_score(self):\\n\\t\\tnr_heads = len(self.deps.keys())\\n\\t\\tcomp_score = nr_heads/float(self.nr_of_deps+1)\\n\\t\\treturn comp_score\",\n \"def _get_top_models_to_improve(self):\\n self._validate_top_models_to_improve()\\n if self.top_models_to_improve == \\\"auto\\\":\\n if self._get_mode() == \\\"Explain\\\":\\n return 0\\n if self._get_mode() == \\\"Perform\\\":\\n return 2\\n if self._get_mode() == \\\"Compete\\\":\\n return 3\\n if self._get_mode() == \\\"Optuna\\\":\\n return 0\\n else:\\n return deepcopy(self.top_models_to_improve)\",\n \"def ymodel ( self ) :\\n return self.__ymodel\",\n \"def cumulative_distribution(self):\\n\\n cum_dd = []\\n sum_p = 0\\n for k, p in reversed(self.dd):\\n sum_p += p\\n cum_dd.append((k, sum_p))\\n return list(reversed(cum_dd))\",\n \"def _calculate_r0(net):\\n\\n r0 = 0\\n for reaction in net.reactions:\\n t = reaction.rate(net.species)\\n r0 += t\\n\\n return r0\",\n \"def GetCostIncurred(self):\\r\\n return self.costsIncurred\",\n \"def get_cumgain(df, outcome_col='y', treatment_col='w', treatment_effect_col='tau',\\n steps=100, normalize=False, random_seed=42):\\n\\n cumlift = get_cumlift(df, outcome_col, treatment_col, treatment_effect_col, steps, random_seed)\\n\\n # cumulative gain = cumulative lift x (# of population)\\n cumgain = cumlift.mul(cumlift.index.values, axis=0) / 100 * df.shape[0]\\n\\n if normalize:\\n cumgain = cumgain.div(cumgain.iloc[-1, :], axis=1)\\n\\n return cumgain\",\n \"def total(self):\\r\\n total = 0\\r\\n in_currency = None\\r\\n for key in self.attr_dict.keys():\\r\\n cur = Currency(self.attr_dict[key])\\r\\n if cur.amount > 0:\\r\\n # Add currency to the total\\r\\n total += cur.amount * cur.value\\r\\n if in_currency is None:\\r\\n # Use the first currency we find\\r\\n in_currency = cur\\r\\n elif cur.value < in_currency.value:\\r\\n # We want the lowest currency value\\r\\n in_currency = cur\\r\\n\\r\\n # Now we want to return what we have collected\\r\\n if in_currency is None:\\r\\n return {'total': 0, 'name': ''}\\r\\n else:\\r\\n return {'total': total, 'name': in_currency.name}\",\n \"def get_base_comp(self):\\n return self._main_model.get_base_comp()\",\n \"def totalmomentum (self):\\n tot_p=0.\\n for planet in self.planets: #this loop takes each 'planet' momentum in 'self.planets' and sums them.\\n tot_p += planet.momentum #'tot_p' is the resulting vector of all momenta vectors.\\n total_mom = np.linalg.norm(tot_p) #the 'total_mom' is the total linear momentum's magnitude, which is conserved.\\n return (total_mom)\",\n \"def processed_cum_overall(self):\\n self.processed_cum_overall = (\\n self.cumulative_stats_for_team_each_year\\n [['Season','TeamID','win_rate','total_score','total_opponent_score','fgp','fg3p','ftp', 'total_rebounds','total_off_rebounds','total_def_rebounds',\\n 'total_off_rebounds_percent','total_def_rebounds_percent','total_rebound_possession_percent','total_rebound_possessiongain_percent','total_blocks',\\n 'total_assists','total_steals','total_turnover','total_personalfoul','total_block_opp_FGA_percent','total_assist_per_fgm','total_assist_turnover_ratio',\\n 'expectation_per_game','avg_lose_score_by','avg_win_score_by']]\\n )\",\n \"def _ave(self):\\n\\n return np.asarray(np.mean(self.model_estim.x, axis=0)).flatten()\",\n \"def grand_total(self):\\n return sum(self.grid[pos][1] for pos in assignable_positions if self.grid[pos][0]) + self.grid[\\\"nb\\\"][1]\",\n \"def get_base_coefs(mv):\\n\\trs = []\\n\\tfor bs in bases:\\n\\t\\tt = []\\n\\t\\tfor b in bs:\\n\\t\\t\\tt.append(mv.coef(b))\\n\\t\\t\\t\\t\\t\\n\\t\\trs.append(t)\\t\\t\\n\\treturn rs\",\n \"def current_energy_produced(self):\\n return self.df.exp.sum()\",\n \"def compute(self):\\n return self.elbo_component / self.get_intervals_recorded()\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.7080301\",\n \"0.62270474\",\n \"0.5775094\",\n \"0.5704546\",\n \"0.55656356\",\n \"0.5501783\",\n \"0.5465801\",\n \"0.53405565\",\n \"0.5286122\",\n \"0.5220785\",\n \"0.5193036\",\n \"0.5148923\",\n \"0.51433724\",\n \"0.51247233\",\n \"0.5121645\",\n \"0.51210314\",\n \"0.51171476\",\n \"0.50669336\",\n \"0.50564367\",\n \"0.5048346\",\n \"0.5048032\",\n \"0.5040539\",\n \"0.50129396\",\n \"0.50088775\",\n \"0.5007598\",\n \"0.50035495\",\n \"0.4998666\",\n \"0.49982166\",\n \"0.4990982\",\n \"0.49844217\",\n \"0.49794835\",\n \"0.49707294\",\n \"0.49629313\",\n \"0.49591818\",\n \"0.495115\",\n \"0.49360424\",\n \"0.49321255\",\n \"0.49313796\",\n \"0.49257922\",\n \"0.49257922\",\n \"0.4918759\",\n \"0.49164265\",\n \"0.49021614\",\n \"0.4884131\",\n \"0.48781183\",\n \"0.487586\",\n \"0.48660976\",\n \"0.48633936\",\n \"0.48580757\",\n \"0.4851891\",\n \"0.48330042\",\n \"0.4825049\",\n \"0.47924906\",\n \"0.47790846\",\n \"0.4772596\",\n \"0.4770792\",\n \"0.47665673\",\n \"0.47623894\",\n \"0.47590137\",\n \"0.4756613\",\n \"0.47545224\",\n \"0.47521564\",\n \"0.47486424\",\n \"0.47478053\",\n \"0.47458258\",\n \"0.47420415\",\n \"0.47346896\",\n \"0.47299555\",\n \"0.47276852\",\n \"0.47251493\",\n \"0.47165582\",\n \"0.471213\",\n \"0.47080714\",\n \"0.47071627\",\n \"0.46955112\",\n \"0.4694339\",\n \"0.46845645\",\n \"0.46826982\",\n \"0.4680428\",\n \"0.46746945\",\n \"0.4673476\",\n \"0.46731\",\n \"0.46705672\",\n \"0.4667731\",\n \"0.46671873\",\n \"0.46652237\",\n \"0.46575683\",\n \"0.46557662\",\n \"0.4654669\",\n \"0.46536544\",\n \"0.4649939\",\n \"0.4648172\",\n \"0.46453637\",\n \"0.46452984\",\n \"0.46444792\",\n \"0.46436933\",\n \"0.4642656\",\n \"0.4634839\",\n \"0.46337327\",\n \"0.46335357\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.8100918"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":88297,"cells":{"query":{"kind":"string","value":"Create a graph and run Dijikstra algorithm to find shortest path to all the nodes from the source node. Dijikstra algorithm does not work with negative weights."},"document":{"kind":"string","value":"def main():\n\n # create graph (DIRECTED), add nodes\n # create graph, add nodes\n api = GraphAPI()\n graph = api.init_graph(graph_type=GraphTypes.DIRECTED)\n\n api.add_node(graph, \"A\")\n api.add_node(graph, \"B\")\n api.add_node(graph, \"C\")\n api.add_node(graph, \"D\")\n api.add_node(graph, \"E\")\n api.add_node(graph, \"F\")\n\n # connect nodes in graph\n api.add_edge(graph, \"A\", \"B\", 5)\n api.add_edge(graph, \"A\", \"C\", 2)\n api.add_edge(graph, \"B\", \"D\", 3)\n api.add_edge(graph, \"B\", \"C\", 9)\n api.add_edge(graph, \"C\", \"E\", 5)\n api.add_edge(graph, \"E\", \"D\", 4)\n api.add_edge(graph, \"E\", \"F\", 6)\n api.add_edge(graph, \"D\", \"F\", 1)\n\n source_node = \"A\"\n\n print(\"Running Dijikstra algorithm starting from node %s. \" % source_node)\n shortest_distance_data = api.find_shortest_path_using_dijikstra(graph, start_node=source_node)\n print(\"Shortest distance to all nodes from source node [%s] is: \" % source_node)\n print(shortest_distance_data)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def dijkstra(graph, source):\n\n if not isinstance(graph, WeightedGraph):\n raise TypeError('dijkstra_heap(graph, source): graph must be a WeightedGraph object')\n if source not in graph.Keys:\n raise ValueError('dijkstra_heap(graph, source): source must be a key of the graph but {} is not a key of the graph'.format(source))\n \n # initialize framework\n init_sssp(graph)\n graph.Dictionary[source].distance = 0\n\n H = prepare_heap(graph, vertice_order)\n\n while not H.is_empty():\n vertice_min = H.remove_min()\n for _, vertice, weight in vertice_min.adj_list:\n relax(H, vertice_min, graph.Dictionary[vertice], weight)","def dijkstra(self,start):\n path_weight = {i : float('inf') for i in range(self.n)}\n path_weight[start] = 0\n previous = {i : float('nan') for i in range(self.n)}\n remaining = PriorityQueue()\n for node,priority in path_weight.items():\n remaining.put((priority,node))\n\n while not remaining.empty():\n priority,node = remaining.get()\n for tgt,weight in self.edges[node].items():\n possibleNewWeight = path_weight[node] + weight\n if (possibleNewWeight < path_weight[tgt]):\n path_weight[tgt] = possibleNewWeight\n previous[tgt] = node\n \n return path_weight, previous","def djikstra(self, source, target):\r\n dist = {}\r\n prev = {}\r\n set_q = {}\r\n for vertex in self.vertices.keys():\r\n dist[vertex] = sys.maxsize\r\n prev[vertex] = None\r\n set_q[vertex] = dist[vertex]\r\n dist[source] = 0\r\n set_q[source] = 0\r\n while set_q:\r\n vertex_u = min(set_q, key=set_q.get)\r\n if vertex_u == target:\r\n break\r\n set_q.pop(vertex_u)\r\n for edge in self.edges[vertex_u]:\r\n alt = dist[vertex_u] + edge.distance\r\n if alt < dist[edge.destination]:\r\n dist[edge.destination] = alt\r\n set_q[edge.destination] = dist[edge.destination]\r\n prev[edge.destination] = vertex_u\r\n path = []\r\n vertex_u = target\r\n while prev[vertex_u]:\r\n path.insert(0, vertex_u)\r\n vertex_u = prev[vertex_u]\r\n path.insert(0, vertex_u)\r\n return path","def djikstra(nodes,links,source,dest):\n route = []\n vertexes = []\n for v in nodes:\n v.set_dist(float(\"inf\"))\n v.set_prev(None)\n heappush(vertexes, v)\n source.set_dist(0)\n heapify(vertexes)\n while vertexes:\n unsorted = False\n u = heappop(vertexes)\n if u == dest:\n break #because we found the destination no need to look further\n for v in u.get_links():\n if v.get_enabled():\n alt = u.get_dist() + 1\n target = v.get_target()\n if alt < target.get_dist():\n target.set_dist(alt)\n target.set_prev(u)\n unsorted = True #just a variable that help check if changes were made to the objects inside the heap\n if unsorted: #because i updated the variables but the heap wasn't maintained, i just heapify it again\n heapify(vertexes) \n #this is the part that saves the distance and route \n if dest.get_dist() == float(\"inf\"): #if there is no route then we just return None\n return None\n u = dest\n while u.get_prev() != None:\n v = u.get_prev()\n route.insert(0, v.get_specific_link(u)) \n u = v\n return route","def __dikjstra(self, start_node):\n visited = []\n unvisited = [x for x in self.__node]\n shortest_dist_from_start_node = 0\n current_node = start_node\n\n current_node.setShortestDist(shortest_dist_from_start_node)\n\n while current_node:\n #check unvisited neighbor\n for neighbor_node, distance in current_node.getNeighbors().items():\n #print(neighbor_node.getId(), distance) troubleshoot je ni\n if neighbor_node in visited:\n continue\n\n #add up shortest_dist_from_start_node with distance from neighbor distance\n calc_dist = shortest_dist_from_start_node + distance\n\n if calc_dist < neighbor_node.getShortestDist():\n neighbor_node.setShortestDist(calc_dist)\n neighbor_node.setPrevNode(current_node)\n\n # add current node to visited array\n visited.append(current_node)\n unvisited.remove(current_node)\n \n #update next node and next shortest distance\n next_shortest_dist_from_start_node = inf\n next_node = None\n\n for unvisited_node in unvisited:\n if unvisited_node.getShortestDist() < next_shortest_dist_from_start_node:\n next_shortest_dist_from_start_node = unvisited_node.getShortestDist()\n next_node = unvisited_node\n\n # update current node and shortest distance from start vertex\n if next_node:\n current_node = next_node\n shortest_dist_from_start_node = next_shortest_dist_from_start_node\n #if there are left over unvisited node\n else: \n if unvisited:\n current_node = unvisited[0]\n else:\n current_node = None","def dijkstra(graph, start):\n unvisited = []\n weight = {}\n prev = {}\n time = {}\n imp = {}\n cost = {}\n dist = {}\n for node in graph.keys():\n # add all nodes to 'unvisited' with no previous node and a weight of infinity\n unvisited.append(node)\n weight[node] = float('inf')\n time[node] = float('inf')\n imp[node] = float('inf')\n cost[node] = float('inf')\n dist[node] = float('inf')\n prev[node] = None\n\n # set the starting distance to be 0\n weight[start] = 0\n time[start] = 0\n imp[start] = 0\n cost[start] = 0\n dist[start] = 0\n\n # iterate until no node is left unvisited\n while len(unvisited) > 0:\n # get the lowest distance that has not yet been visited\n curr_node = min(weight.viewkeys() & unvisited, key=weight.get)\n # mark the node as visited\n unvisited.remove(curr_node)\n # iterate through each neighbor of the current node\n for neighbor in graph[curr_node]:\n # calculate distance to that node from this node\n tmp_weight = weight[curr_node] + neighbor[WEIGHT]\n tmp_time = time[curr_node] + neighbor[TIME]\n tmp_imp= imp[curr_node] + neighbor[IMP]\n tmp_cost = cost[curr_node] + neighbor[COST]\n tmp_dist = dist[curr_node] + neighbor[DISTANCE]\n # if this distance is less than the one already stored at that node\n if tmp_weight < weight[neighbor[NEXT_NODE]]:\n # we store this distance as its distance,\n weight[neighbor[NEXT_NODE]] = tmp_weight\n time[neighbor[NEXT_NODE]] = tmp_time\n imp[neighbor[NEXT_NODE]] = tmp_imp\n cost[neighbor[NEXT_NODE]] = tmp_cost\n dist[neighbor[NEXT_NODE]] = tmp_dist\n # and this node as its previous node\n prev[neighbor[NEXT_NODE]] = curr_node\n\n return weight, prev, time, imp, cost, dist","def dijkstra(graph,start,goal):\n shortest_distance = {}\n predecessor = {}\n unseenNodes = graph\n path = []\n for node in unseenNodes:\n shortest_distance[node] = infinity\n shortest_distance[start] = 0\n \n while unseenNodes:\n minNode = None\n for node in unseenNodes:\n if minNode is None:\n minNode = node\n elif shortest_distance[node] < shortest_distance[minNode]:\n minNode = node\n \n for childNode, weight in graph[minNode].items():\n \n if weight + shortest_distance[minNode] < shortest_distance[childNode]:\n shortest_distance[childNode] = weight + shortest_distance[minNode]\n predecessor[childNode] = minNode\n unseenNodes.pop(minNode)\n \n currentNode = goal\n while currentNode != start:\n try:\n path.insert(0,currentNode)\n currentNode = predecessor[currentNode]\n except KeyError:\n print('Path not reachable')\n break\n path.insert(0,start)\n if shortest_distance[goal] != infinity:\n return path","def bidir_dijkstra(graph, source, sink):\n\n if source == sink:\n return 0, []\n\n ''' Use two graphs: graph_1 is the same as the one passed to the function, graph_2 is obtained from graph_1\n by flipping the orientation of every edge, and maintaining the same distances (weights). '''\n graph_1 = graph\n graph_2 = make_reverse_graph(graph)\n\n ''' Set of vertices yet to be processed, each with the current estimate of its shortest distance from the\n source of its graph. Note that graph_2 source is graph_1 sink, and graph_2 sink is graph_1 source.'''\n pending_1 = SortedSet([(0, source)])\n pending_2 = SortedSet([(0, sink)])\n\n ''' Associate each vertex with the current estimate of its shortest distance from the source in its graph.\n This information is redundant, as it is also contained in pending_1 and pending_2; however, having it in maps\n like these allows to look it up in constant time. Consequently, d_1 must be kept consistent with pending_1,\n and d_2 with pending_2: when updating the estimate for a given vertex, it must be updated in both the SortedSet\n and the map.'''\n d_1 = {source: 0}\n d_2 = {sink: 0}\n\n ''' Set of vertices already processed. Which implies, their estimate of shortest distance from the source is\n the exact measurement.'''\n processed_1 = set()\n processed_2 = set()\n\n ''' Will store information useful to backtrack the shortest path to source/sink.'''\n pred_1 = {source: None}\n pred_2 = {sink: None}\n\n shortest_path_found = False\n shortest_so_far = float('inf')\n ''' (best_vertex1, best_vertex2) will be the edge, along the shortest path, that joins the two sub-paths grown out\n of source and sink.'''\n best_vertex1, best_vertex2 = None, None\n counter_at_shortest_path = None\n step_counter = -1\n while not shortest_path_found:\n step_counter += 1\n # Do one step of Dijkstra in graph_1\n if not pending_1: # No more vertices up for processing now implies you can't reach sink from source.\n return -1, []\n d_f1, vertex1 = pending_1.pop(0) # Pop the minimum.\n assert d_f1 == d_1[vertex1] # Check the invariant (pending_1 and d_1 must be consistent)\n processed_1.add(vertex1)\n # TODO if d_f1>shortest_so_far then could I skip the rest of processing of vertex1?\n # Add vertices adjacent to vertex1, that have not been processed, to the pending vertices (unless already there)\n for vertex2 in graph_1.adj[vertex1]:\n if d_1.get(vertex2) is None:\n assert vertex2 not in processed_1\n d_1[vertex2] = float('inf')\n pending_1.add((float('inf'), vertex2))\n ''' Relax all edges outgoing from vertex1 whose other end-point hasn't been processed yet, and check if any\n of them potentially belongs to a shortest path from source to sink '''\n for vertex2 in graph_1.adj[vertex1]:\n # Length of the shortest path from the source to vertex2, going through vertex1.\n d_via_vertex1 = d_f1 + graph_1.edges[vertex1, vertex2]['weight']\n # Relax edge (vertex1, vertex2)\n if vertex2 not in processed_1:\n d_f2 = d_1[vertex2]\n if d_via_vertex1 < d_f2:\n d_1[vertex2] = d_via_vertex1\n pending_1.remove((d_f2, vertex2))\n pending_1.add((d_via_vertex1, vertex2))\n pred_1[vertex2] = vertex1\n ''' If vertex2 has already been processed backward, then you have found a path\n from source to sink; update information on the shortest path found so far as necessary. '''\n if vertex2 in processed_2:\n length = d_via_vertex1 + d_2[vertex2]\n if length < shortest_so_far:\n shortest_so_far = length\n # Edge (best_vertex1, best_vertex2) is on the shortest path found so far from source to sink\n best_vertex1 = vertex1\n best_vertex2 = vertex2\n counter_at_shortest_path = step_counter\n # Check termination condition.\n if best_vertex2 is not None and pending_1 and pending_2:\n l1, _ = pending_1[0]\n l2, _ = pending_2[0]\n if l1 + l2 >= shortest_so_far:\n shortest_path_found = True\n ''' Trade graph_1 with grap_2 before the next step of Dijkstra: you are alternating one step in graph_1\n with one step in graph_2. '''\n if (not shortest_path_found):\n graph_1, graph_2 = graph_2, graph_1\n pending_1, pending_2 = pending_2, pending_1\n d_1, d_2 = d_2, d_1\n processed_1, processed_2 = processed_2, processed_1\n pred_1, pred_2 = pred_2, pred_1\n\n # A shortest path from source to sink was found, and it must go through best_vertex1 and best_vertex2\n assert best_vertex1 is not None\n assert best_vertex2 is not None\n\n ''' Stitch together the shortest path as \n source -> ... -> vertex1 -> best_vertex2 -> ... -> sink'''\n\n def backtrack_path(from_vertex, pred):\n path = [from_vertex]\n previous = pred[from_vertex]\n while previous is not None:\n path.append(previous)\n previous = pred[previous]\n return path\n\n if step_counter % 2 == counter_at_shortest_path % 2:\n sub_path_1 = backtrack_path(best_vertex1, pred_1)\n sub_path_2 = backtrack_path(best_vertex2, pred_2)\n else:\n sub_path_1 = backtrack_path(best_vertex2, pred_1)\n sub_path_2 = backtrack_path(best_vertex1, pred_2)\n shortest_path = sub_path_1[::-1] + sub_path_2\n if step_counter % 2 == 1:\n shortest_path = shortest_path[::-1]\n\n distance = d_1[best_vertex2] + d_2[best_vertex2]\n assert distance == shortest_so_far\n\n return distance, shortest_path","def dykstra(self,origin):\n G = nx.Graph()\n G.add_node(origin,shortest_path = 0)\n active_nodes = [origin]\n\n while len(active_nodes) > 0:\n a_n = active_nodes.pop() # active node\n\n for n in self.neighbors.get(a_n,[]): #catch no neighbor exception\n d = self.difference(n, origin)**4 # increase cost of extra distance\n this_path = G.node[a_n]['shortest_path'] + d\n\n if this_path < self.epsilon:\n if n in G.node: # seen this node before\n if this_path < G.node[n]['shortest_path']: # if this path is better than previous best path\n G.node[n]['shortest_path'] = this_path\n G.add_edge(a_n,n) # add edge just because\n continue\n\n G.add_node(n,shortest_path = this_path) # if this is new, add it to graph\n G.add_edge(a_n,n) # add edge just because\n active_nodes.append(n) # add new active node\n return G","def dijkstra_generalized(graph, source, weight='weight'):\n # Removed min=None\n import math\n\n # Definitions consistent with Kurose & Ross\n u = source\n\n def c(x, y):\n return graph[x][y][weight]\n\n N = frozenset(graph.nodes())\n NPrime = {u} # i.e. \"set([u])\"\n D = dict.fromkeys(N, math.inf)\n P = dict.fromkeys(N, [])\n\n # Initialization\n for v in N:\n if graph.has_edge(u, v):\n D[v] = c(u, v)\n P[v] = [u]\n D[u] = 0 # over-write inf entry for source\n\n # Loop through all nodes\n while NPrime != N:\n candidates = {w: D[w] for w in N if w not in NPrime}\n w, Dw = min(candidates.items(), key=lambda item: item[1])\n NPrime.add(w)\n for v in graph[w]:\n if v not in NPrime:\n DvNew = D[w] + c(w, v)\n if DvNew < D[v]:\n D[v] = DvNew\n P[v] = [w]\n\n return P, D","def getPath(\n self,\n source,\n dest,\n as_nodes=False,\n ):\n\n self.dist = {} # A map from nodes to their labels (float)\n self.predecessor = {} # A map from a node to a node\n\n # Initialize the distance labels to \"infinity\"\n\n vertices = self.g.nodes()\n for vertex in vertices:\n self.dist[vertex] = self.inf\n self.predecessor[vertex] = source\n\n # Further set up the distance from the source to itself and\n # to all one hops away.\n\n self.dist[source] = 0.0\n if self.g.is_directed():\n outEdges = self.g.out_edges([source])\n else:\n outEdges = self.g.edges([source])\n for edge in outEdges:\n self.dist[edge[1]] = self.g[edge[0]][edge[1]][self.wt]\n\n s = set(vertices)\n s.remove(source)\n currentMin = self._findMinNode(s)\n if currentMin == None:\n return None\n s.remove(currentMin)\n while currentMin != dest and len(s) != 0 and currentMin != None:\n if self.g.is_directed():\n outEdges = self.g.out_edges([currentMin])\n else:\n outEdges = self.g.edges([currentMin])\n for edge in outEdges:\n opposite = edge[1]\n if self.dist[currentMin] + self.g[edge[0]][edge[1]][self.wt] \\\n < self.dist[opposite]:\n self.dist[opposite] = self.dist[currentMin] \\\n + self.g[edge[0]][edge[1]][self.wt]\n self.predecessor[opposite] = currentMin\n s.add(opposite)\n\n currentMin = self._findMinNode(s)\n\n # print \"Current min node {}, s = {}\".format(currentMin, s)\n\n if currentMin == None:\n return None\n s.remove(currentMin)\n\n # Compute the path as a list of edges\n\n currentNode = dest\n predNode = self.predecessor.get(dest)\n node_list = [dest]\n done = False\n path = []\n while not done:\n path.append((predNode, currentNode))\n currentNode = predNode\n predNode = self.predecessor[predNode]\n node_list.append(currentNode)\n done = currentNode == source\n node_list.reverse()\n if as_nodes:\n return node_list\n else:\n return path","def dijkstra(G, s):\n G.init_ss(s)\n S = [] # Vertices whose final shortest path weight has been determined\n\n # In OOP version, 0th element of each list is the Vertex (not ListVertex)\n V = [G.new_adj[v][0] for v in range(0, len(G.new_adj))] # Add all vertices to queue initially\n print(V)\n\n # Heap uses distance estimates of vertices sa the key for \"extract_root\"\n # values: vertices, keys: distance estimates\n pq = hs.PriorityQueue(V) # Priority Queue/Heap - keyed by `d` distance estimate\n pq.build_heap(\"min\") # Applies only to the keys `G.d`\n # pq.print_heap() # 1-indexed\n # pq.print_heap_idx() # 1-indexed\n \n while pq.heap_size is not 0:\n u = pq.extract_root(\"min\") # Min-heap Extract-Min with lowest distance estimate\n # print(f\"u: {u.u}, min_d: {u.d}\")\n # print(f\"G.d[u]: {G.d[u]}\")\n S.append(u.u)\n # print(f\"---------{S}---------\")\n for v_idx in range(1, len(G.new_adj[u.u])): # Begin at 1 since our Vertex `u` is at idx 0 in the same list as ListVertices `v`\n # print(G.new_adj[u.u][v_idx])\n G.relax(u.u, G.new_adj[u.u][v_idx].v) # w array is contained with the Graph class\n\n return","def dijkstra(adj_matrix, source_node):\n # init shortest paths table and unvisited table\n N = len(adj_matrix)\n shortest_paths = init_shortest_paths(N, source_node)\n\n visited = [False] * N\n\n # while there are still unvisited nodes\n while False in visited:\n curr_node = get_next_unvisited(visited, shortest_paths)\n curr_dist = shortest_paths[curr_node][0]\n neighbors = get_neighbors(adj_matrix, curr_node)\n # for each neighbor\n\n for n in neighbors:\n edge_weight = adj_matrix[curr_node][n]\n # if the curr_dist + weight is less than what's\n # already in the shortest path entries for that neighbor\n # then update the shortest path entry value\n curr_entry = shortest_paths[n][0]\n if curr_dist + edge_weight < curr_entry:\n shortest_paths[n] = (curr_dist + edge_weight, curr_node)\n visited[curr_node] = True\n\n return shortest_paths","def bidir_dijkstra2(graph, source, sink):\n\n if source == sink:\n return 0, []\n\n ''' Use two graphs: graph_1 is the same as the one passed to the function, graph_2 is obtained from graph_1\n by flipping the orientation of every edge, and maintaining the same distances (weights). '''\n graph_1 = graph\n graph_2 = make_reverse_graph(graph)\n\n ''' Set of vertices yet to be processed, each with the current estimate of its shortest distance from the\n source of its graph. Note that graph_2 source is graph_1 sink, and graph_2 sink is graph_1 source.'''\n pending_1 = SortedSet([(float('inf'), v) for v in graph_1.nodes if v != source])\n pending_1.add((0, source))\n pending_2 = SortedSet([(float('inf'), v) for v in graph_2.nodes if v != sink])\n pending_2.add((0, sink))\n\n ''' Associate each vertex with the current estimate of its shortest distance from the source in its graph.\n This information is redundant, as it is also contained in pending_1 and pending_2; however, having it in maps\n like these allows to look it up in constant time. Consequently, d_1 must be kept consistent with pending_1,\n and d_2 with pending_2: when updating the estimate for a given vertex, it must be updated in both the SortedSet\n and the map.'''\n d_1 = {v: 0 if v == source else float('inf') for v in graph_1.nodes}\n d_2 = {v: 0 if v == sink else float('inf') for v in graph_2.nodes}\n\n ''' Set of vertices already processed. Which implies, their estimate of shortest distance from the source is\n the exact measurement.'''\n processed_1 = set()\n processed_2 = set()\n\n ''' Will store information useful to backtrack the shortest path to source/sink.'''\n pred_1 = {source: None}\n pred_2 = {sink: None}\n\n def process(v1):\n for v2 in graph_1.adj[v1]:\n if v2 in processed_1:\n assert ((d_1[v2], v2)) not in pending_1\n continue\n d_to_v2_via_v1 = d_1[v1] + graph_1.edges[v1, v2]['weight']\n if d_to_v2_via_v1 < d_1[v2]:\n pending_1.remove((d_1[v2], v2))\n pending_1.add((d_to_v2_via_v1, v2))\n d_1[v2] = d_to_v2_via_v1\n pred_1[v2] = v1\n # TODO If v2 is in processed_2, and d_1[v2]+d2[v2] <= pending_1[0][0]+pending_2[0][0], could we stop here?\n\n estimate = float('inf')\n while pending_1 or pending_2:\n d, v1 = pending_1.pop(0)\n assert d == d_1[v1]\n if d <= estimate:\n processed_1.add(v1)\n process(v1)\n if v1 in processed_2 and d + d_2[v1] < estimate:\n estimate = d + d_2[v1]\n # Trade graph_1 with graph_2, unless this was the last iteration\n if pending_1 or pending_2:\n graph_1, graph_2 = graph_2, graph_1\n pending_1, pending_2 = pending_2, pending_1\n d_1, d_2 = d_2, d_1\n processed_1, processed_2 = processed_2, processed_1\n pred_1, pred_2 = pred_2, pred_1\n\n return estimate if estimate < float('inf') else -1, []","def dijkstra(self, source=None, destination=None):\n for vertex in self.vertices():\n vertex.d = sys.maxint\n if not source:\n source = self.vertices()[0]\n q = simply_python.data_structures.FIFO_dict()\n source.d = 0\n q.append(source)\n while not q.isempty():\n source = q.pop()\n print source\n print source.d\n d = source.d\n for out_vertex in self.out_vertices(source):\n if out_vertex.d == sys.maxint:\n out_vertex.d = d + 1\n q.append(out_vertex)\n if out_vertex == destination:\n return out_vertex.d\n return d","def dijkstra(G, source, target, weight, blacklist=set(), max_dist=INF):\n\n G_succ = G.succ if G.is_directed() else G.adj\n\n push = heappush\n pop = heappop\n\n # dictionary of optimal path to solved nodes\n paths = { source: [ source ] }\n # dictionary of final distances for each solved node\n dist = {}\n # track which nodes have been seen and the shortest path distance\n seen = {}\n\n c = count()\n fringe = []\n\n seen[source] = 0.0\n push(fringe, (0.0, next(c), source))\n\n weight = _create_weight_func(G, 'length')\n\n while fringe:\n # this is a priority queue, so will always pop minimum distance\n d, _, v = pop(fringe)\n \n # ignore if node has been visited already OR is blacklisted\n if v in dist or v in blacklist:\n continue\n\n dist[v] = d\n #\n # path found! break\n if v == target:\n break\n\n # loop through neighbors of v\n for u, e in G_succ[v].items():\n vu_cost = dist[v] + weight(u, v)\n\n if vu_cost <= max_dist and (u not in seen or vu_cost < seen[u]):\n seen[u] = vu_cost\n paths[u] = paths[v] + [u]\n push(fringe, (vu_cost, next(c), u))\n\n if target in paths and target in dist:\n return paths[target], dist[target]\n \n return None","def single_dijkstra(graph, start, edge_weight_name):\r\n distances = []\r\n for x in start:\r\n try:\r\n value_set = nx.single_source_dijkstra_path_length(graph, source=x, weight=edge_weight_name)\r\n except nx.NetworkXNoPath:\r\n pass\r\n for key in value_set:\r\n\r\n distances.append([x,key,value_set[key]])\r\n return distances","def __djikstra(graph, node_name):\n predecessors = {key: None for key in graph.keys()}\n distances = {key: inf for key in graph.keys()}\n distances[node_name] = 0\n nodes_set = set(graph.values()) # type : Set[Node]\n while len(nodes_set) != 0:\n min_node = min(nodes_set, key=lambda x: distances[x.name]) # type: Node\n nodes_set.remove(min_node)\n for neighbour in min_node.neighbours:\n if distances[neighbour.name] > distances[min_node.name] + min_node.distance_vectors[neighbour.name]:\n distances[neighbour.name] = distances[min_node.name] + min_node.distance_vectors[neighbour.name]\n predecessors[neighbour.name] = min_node.name\n nodes_set.add(neighbour)\n return distances, predecessors","def dijkstra(self, src):\n unvisited = MinHeap() \n visited = set()\n dist = []\n for v_id in range(0, self.v):\n if v_id != src:\n dist.append(sys.maxsize)\n unvisited.insert((sys.maxsize, v_id))\n else:\n unvisited.insert((0, src))\n dist.append(0)\n while unvisited.queue:\n min_node = unvisited.extract_min()\n visited.add(min_node)\n for nbr,w in self.graph[min_node]:\n new_dist = w + dist[min_node]\n if new_dist < dist[nbr]:\n unvisited.decrease_key((dist[nbr], nbr), new_dist)\n dist[nbr] = new_dist \n return dist","def dijkstra_shortest_path(graph_object: Graph, start_node: int) -> List[float]:\n\n def init_distance(g: Graph, s: int) -> List[float]:\n d = [inf] * len(g) # type: List[float]\n d[s] = 0.0\n return d\n\n # Assign a key value to all vertices in the input graph.\n # Initial value is inf for all but the first one\n distance = init_distance(graph_object, start_node)\n priority_queue = MinHeap.build([(i, priority) for i, priority in enumerate(distance)])\n\n while priority_queue: # Priority queue has O(V) elements\n min_index = priority_queue.pop() # O(log(V))\n for edge in graph_object.graph[min_index]: # A graph has at most 2E Edges in adjacency list, so O(E)\n source, destination, edge_weight = edge\n if priority_queue.contains_item(destination) and distance[source] + edge_weight < distance[destination]:\n distance[destination] = distance[source] + edge_weight\n priority_queue.push(item=destination, priority=edge_weight) # O(log(V))\n\n return distance","def framework(graph, source1, source2):\n\n if not isinstance(graph, WeightedGraph):\n raise TypeError('bi_dijkstra(graph, start, destination): graph must be WeightedGraph object')\n if source1 not in graph.Keys:\n raise ValueError('bi_dijkstra(graph, source1, source2): source1 must be key of the graph')\n if source2 not in graph.Keys:\n raise ValueError('bi_dijkstra(graph, source1, source2): source2 must be key of the graph')\n\n build_shortcuts(graph)\n update_graph(graph)\n\n graph_up = graph.Graph_Up()\n\n graph_down = graph.Graph_Down()\n graph_down.Ancestors()\n\n init_sssp(graph_up)\n init_sssp(graph_down)\n\n graph_up.Dictionary[source1].distance = 0\n graph_down.Dictionary[source2].distance = 0\n\n H_up = prepare_heap(graph_up, vertice_order)\n H_down = prepare_heap(graph_down, vertice_order)\n\n return graph_up, graph_down, H_up, H_down","def dijkstra(graph, initial):\n \n visited_nodes = {initial: 0}\n path = {}\n\n nodes = set(graph.nodes)\n\n while nodes:\n closest_node = None\n for node in nodes:\n if node in visited_nodes:\n if closest_node is None:\n closest_node = node\n elif visited_nodes[node] < visited_nodes[closest_node]:\n closest_node = node\n if closest_node is None:\n break\n\n nodes.remove(closest_node)\n current_weight = visited_nodes[closest_node]\n\n for edge in graph.edges[closest_node]:\n try:\n weight = current_weight + graph.costs[(closest_node, edge)]\n except:\n continue\n if edge not in visited_nodes or weight < visited_nodes[edge]:\n visited_nodes[edge] = weight\n path[edge] = closest_node\n\n return visited_nodes, path","def dijkstra(adj, cost, s, t):\n\n V = range(len(adj)) # set of nodes, sequentially numbered\n # Note!!: this is not entirely general - there is no quarantee that\n # the graph node list is sequentially numbered from 0 to n-1\n\n # for all u∈V:\n # dist[u] ← ∞, prev[u] ← nil\n # dist[v] will be an upper bound on the actual distance from s to v.\n dist = [approxInf for u in V] # initialize dist to completely unknown for all u∈V\n prev = [None for u in V]\n # visited = [False for u in V] # this is represented as dist[u] = infinite\n\n dist[s] = 0 # zero distance to start node\n\n\n # H ← MakeQueue(V ) {dist-values as keys} # this is the Unknown region, not(R)\n # the set of unknown (unvisited, or not fully visited) vertices\n H = make_queue(V) #, dist)\n\n while len(H) > 0: # H, set of unknown vertices is not empty:\n # On each iteration we take a vertex outside of R (in H) with the minimal dist-value,\n # add it to R, and relax all its outgoing edges.\n u = extract_min(H, dist) # [u, d] = extract_min(H)\n # Lemma: When a node u is selected via ExtractMin, dist[u] = d(S,u), actual minimum distance.\n # First node to be extracted will be the source s (since dist[s]==0)\n # Should we stop early if min node u == t (t is moved to known set R before unknown H is exhausted)?\n for i in range(len(adj[u])): # for all (u,v) ∈ E: Relax(u,v) # relax all _outgoing_ edges from u\n # edge relaxation procedure for an edge (u,v) just checks whether\n # going from s to v through u improves the current value of dist[v].\n v = adj[u][i] # v in adj[u]\n if dist[v] > (dist[u] + cost[u][i]): # + w(u,v):\n dist[v] = dist[u] + cost[u][i] # update the distance\n prev[v] = u # update the predecessor node\n # ChangePriority(H , v , dist[v]) # rather than priority queue, update dist and scan array for min dist\n\n return dist[t]","def bi_dijkstra(graph, source1, source2):\n\n graph_up, graph_down, H_up, H_down = framework(graph, source1, source2)\n\n found_source2_after = [np.Inf, None]\n found_source1_after = [np.Inf, None]\n min_down = None\n while not H_up.is_empty() or H_down.is_empty():\n\n min_up = H_up.remove_min()\n\n # if newly extracted node from H_up is equal to destination,end process,\n # taking into account also previously stored distances and nodes of the \n # destination found in some adjacent lists\n if min_up == graph.Dictionary[source2]:\n\n return one_way_path(min_up, min_up.distance, found_source2_after, found_source1_after)\n \n for passage, vertice, weight in min_up.adj_list:\n\n bi_relax(H_up, min_up, graph_up.Dictionary[vertice], weight, passage, graph_up)\n \n # if destination is in the adjacent list, take that into account storing distance and node\n if vertice == source2:\n found_source2_after = [graph_up.Dictionary[vertice].distance, copy.deepcopy(graph_up.Dictionary[vertice])]\n\n if min_down is not None:\n # if the newly extracted node from H_up is equal to the previously extracted node in H_down, end process\n # taking into account also previously stored distances and nodes of the destination found in some adjacent lists\n if min_up == min_down:\n\n return path(min_up, min_down, min_up.distance + min_down.distance, found_source2_after, found_source1_after)\n\n min_down = H_down.remove_min()\n\n # if newly extracted node from H_down is equal to destination, end process\n # taking into account also previously stored distances and nodes of the \n # destination found in some adjacent lists\n if min_down == graph.Dictionary[source1]:\n\n return one_way_path(min_down, min_down.distance, found_source2_after, found_source1_after)\n \n for passage, vertice, weight in min_down.ancestors:\n\n bi_relax(H_down, min_down, graph_down.Dictionary[vertice], weight, passage, graph_down)\n \n # if destination is in the adjacent list, take that into account storing distance and node\n if vertice == source1:\n found_source1_after = [graph_down.Dictionary[vertice].distance, copy.deepcopy(graph_down.Dictionary[vertice])]\n\n # if the extracted nodes from H_up and H_down, end process taking into account also \n # previously stored distances and nodes of the destination found in some adjacent lists\n if min_up == min_down:\n\n return path(min_up, min_down, min_up.distance + min_down.distance, found_source2_after, found_source1_after)","def djikstra(self, start_vertex):\n \n # Initialize a priority queue by distance to vertices\n queue = [(0, start_vertex)]\n heapq.heapify(queue)\n \n # Initialize the dictionary which will contain the answer\n min_dists = collections.defaultdict(lambda: float('inf'))\n min_dists[start_vertex] = 0\n \n # A set to keep track of visisted vertices\n visited = set()\n \n # While there are elements left in the priority queue\n while queue:\n \n # Pop off the vertex which is closest\n (dist, vertex) = heapq.heappop(queue)\n \n # If it's seen, continue. If not, it's seen now\n if vertex not in visited:\n visited.add(vertex)\n else:\n continue\n \n # Go through every neighbor of the vertex\n for neighbor, weight in self.neighbors(vertex, True):\n \n # The minimum distance to `neighbor` might be improved if\n # the path going through `vertex` is smaller than the\n # existing solution. This is the dynamic programming step.\n min_dist_so_far = min_dists[neighbor]\n possible_new_min = min_dists[vertex] + weight\n min_dists[neighbor] = min(min_dist_so_far, possible_new_min)\n \n # Push to the queue. Prioritize by distance.\n heapq.heappush(queue, (min_dists[neighbor], neighbor))\n \n return min_dists","def shortestPath(self, source, target):\n dist = {}\n prev = {}\n q = []\n for y,a in enumerate(self.sm):\n for x,b in enumerate(self.sm[y]):\n dist[(x,y)] = sys.maxint\n prev[(x,y)] = None\n q.append((x,y))\n dist[source] = 0\n\n while len(q) is not 0:\n # find the node with minimum value (u)\n d = deepcopy(dist)\n while True:\n b = dict(map(lambda item: (item[1],item[0]), d.items()))\n u = b[min(b.keys())]\n if u not in q:\n d.pop(u)\n else:\n break\n\n if dist[u] == sys.maxint: # remaining nodes are inaccessible\n break\n\n q.remove(u)\n\n\n if u == target: # target found\n break\n\n for v in self.getNeighbors(u):\n alt = dist[u] + 1\n if alt < dist[v]:\n dist[v] = alt\n prev[v] = u\n\n s = []\n u = target\n while prev[u] is not None:\n s.append(u)\n u = prev[u]\n s.reverse()\n\n return s","def dijkstra(self, start, end):\n unvisited = self.nodes()\n distance = {}\n previous = {}\n for node in unvisited:\n distance[node] = sys.maxsize\n distance[start] = 0\n while len(unvisited) > 0:\n node = unvisited[0]\n smallest_curr = sys.maxsize\n for d in distance:\n if d in unvisited and distance[d] < smallest_curr:\n node = d\n smallest_curr = distance[d]\n unvisited.remove(node)\n for neighbor in self.neighbors(node).keys():\n alt_path = distance[node] + self.weight(node, neighbor)\n if alt_path < distance[neighbor]:\n distance[neighbor] = alt_path\n previous[neighbor] = node\n result = []\n result.append(end)\n curr = end\n while curr in previous:\n result.append(previous[curr])\n curr = previous[curr]\n return result","def dijkstra(self, v, parents, costs):\n\n # Initialize the vertex\n parents[v] = v\n # Has cost of 0\n costs[v] = 0\n # Add to frontier\n frontier = [(0, v)]\n # Create an off frontier set\n off_frontier = set()\n # Do this until there are items left in frontier\n while len(frontier) > 0:\n # Get cost and the node\n pcost, p = heappop(frontier)\n # If it has not yet been seen\n if p not in off_frontier:\n # add to off frontier\n off_frontier.add(p)\n # check all it's neighbors\n for c in self.neighbors[p]:\n # cost to node's neighbors\n w = pcost + self.weights[(p, c)]\n # update if cost is less or if cost has not yet been seen\n if c not in costs or w < costs[c]:\n # update dictionaries\n parents[c] = p\n costs[c] = w\n # push onto frontier\n heappush(frontier, (w, c))","def dijkstras(G,s,g,cost=(lambda v,w:1),verbose=1):\n if not callable(g):\n gtest = lambda x,goal=g: x==g\n else:\n gtest = g\n d = dict((v,float('inf')) for v in G.nodes())\n p = dict((v,None) for v in G.nodes())\n d[s] = 0\n Q = [(0,s)] #each element is a tuple (c,v) with c=cost from start, v=vertex\n nnodes = 0\n while len(Q) > 0:\n c,v = heapq.heappop(Q) #get the element in the queue with the least value of c\n nnodes += 1\n if gtest(v):\n #found a path\n if verbose: print(\"Dijkstra's succeeded in\",nnodes,\"iterations\")\n return predecessor_traverse(p,s,v),d,p\n for w in G.neighbors(v):\n dcand = d[v] + cost(v,w) #this is the cost of going through v to w\n if dcand < d[w]:\n #going through v is optimal\n #if the predecessor of w is not None, then we'll have to adjust the heap\n if p[w] is not None:\n Q = [(c,x) for (c,x) in Q if x is not w]\n heapq.heapify(Q)\n d[w] = dcand\n p[w] = v\n #put w on the queue\n heapq.heappush(Q,(dcand,w))\n #no path found\n if verbose: print(\"Dijkstra's failed in\",nnodes,\"iterations\")\n return None,d,p","def shortestPath( self, source, target, weight = None ):\n if weight == None:\n return nx.shortest_path(self._G, source, target)\n else:\n return nx.shortest_path(self._G, source, target, weight = weight)","def dijkstra(self, s, t):\n l = []\n dist = {}\n prev = {}\n discovered = {}\n for v in self.get_vertices():\n dist[v] = float('inf')\n prev[v] = None\n discovered[v] = False\n dist[s] = 0\n l.append((s, dist[s]))\n while len(l) != 0:\n u = min(l, key=lambda x: x[1])\n l.remove(u)\n u = u[0]\n discovered[u] = True\n if u == t:\n break\n for v in self.get_adjacent_vertices_by_vertex(u):\n if not discovered[v]:\n alt = dist[u] + self.get_edge((u, v)).attr[\"WEIGHT\"]\n if alt < dist[v]:\n dist[v] = alt\n prev[v] = u\n l.append((v, dist[v]))\n # Create a graph according to visited nodes store in prev array\n u = t\n g = Graph(attr={DIRECTED: True})\n while u is not None:\n g.add_vertex(vertex.Vertex(u, {\"WEIGHT\": dist[u]}))\n if prev[u] is not None:\n g.add_vertex(vertex.Vertex(prev[u], {\"WEIGHT\": dist[prev[u]]}))\n g.add_edge(edge.Edge(prev[u], u))\n u = prev[u]\n else:\n break\n return g","def Dijkstra(node_init, node_end, graph):\n\n ### Parameter initialisation\n node_list = list(graph.vertices.keys())\n dist = np.full(len(node_list), -np.inf)\n # At the beginning we have not reached the end_node\n node_end_reached = False\n # At the beginning, we assume there is a shortest path:\n no_path = False\n\n # Initialising the distances of the nodes\n dist[node_init] = 0\n # Setting the father_node which contains the provenance of the nodes\n father_node = np.full(len(node_list), -np.inf)\n # Initialising the current node\n current_node = node_init \n # Initialising the dictionnary of fixed node which has the following shape:\n #{fixed_node: previous_node}\n # Fixing the number of iterations\n k = 0\n dict_fixed_node = {node_init:(None,k)}\n \n # In the trivial case where the two nodes are identical\n if node_init == node_end:\n cost = 0\n shortest_path = [node_init]\n no_path = False\n return cost, shortest_path, no_path\n \n # While the end node has not been reached\n while not node_end_reached:\n current_node_adj = graph.node_get_adj(current_node).copy()\n # We get rid off the node that have been fixed, except at the first iteration\n if k != 0:\n current_node_adj.remove(dict_fixed_node[current_node][0])\n ## Updating the distances : either the node are neighbors and \n # something might change, either they are not, and their distance \n # does not change.\n # For the neighbors node\n for e in current_node_adj:\n dist_temp = dist[current_node] + 1\n # We change the distance only if it is lower than it used to be\n # otherwise, we keep it\n if dist_temp < dist[e] or dist[e] == -np.inf:\n dist[e] = dist_temp\n # Setting the father node\n father_node[e] = current_node\n father_node[current_node] = None\n # We set the distance of the current node to 0\n dist[current_node] = 0 \n # Index and distances which are not 0 and not minus infty\n sub_dist_index = [i for i, e in enumerate(dist) if e > 0]\n sub_dist_value = np.array([e for i, e in enumerate(dist) if e > 0])\n # If these two lists are empty, we stop the algorithm and that means\n # that we cannot reach our point\n if not sub_dist_index or sub_dist_value.size == 0:\n no_path = True\n cost = 'impossible path'\n shortest_path = 'impossible path'\n break\n # Now we need to set our choice for the next node\n if np.array_equal(sub_dist_value, np.ones(len(sub_dist_value))):\n ## If there are only ones : we pick them up randomly\n current_node = int(random.choice(list(sub_dist_index)))\n else:\n ## If not we just pick up the one with the minimum distance.\n current_node = sub_dist_index[sub_dist_value.argmin()]\n # Adding this node to the dictionnary\n dict_fixed_node[current_node] = (int(father_node[current_node]), k)\n # If the end_node has been reached, we stop the search algorithm\n if node_end in dict_fixed_node.keys():\n node_end_reached = True\n # Incrementing the counter\n k += 1\n\n # Now we need to get the shortest path from our iterations whose information \n # are in dict_fixed_node. To do this, we need to circle back from the end_node\n # to the init_node in this dictionnary.\n # This is done only if some path between node_init and end_node exists.\n if no_path == False:\n list_father_node = list(dict_fixed_node.values())\n previous_node = list_father_node[-1][0]\n shortest_path = [node_end, previous_node]\n # While the initial node has not been reached, we add the relevant\n # nodes to our shortest path\n while previous_node != node_init:\n previous_node = dict_fixed_node[previous_node][0]\n shortest_path.append(previous_node)\n \n # Computing the cost of this shortest path in terms of weights\n cost = len(shortest_path) - 1\n \n return cost, shortest_path, no_path","def dijkstra_tree(self, s):\n l = []\n dist = {}\n prev = {}\n discovered = {}\n g = Graph(attr={DIRECTED: True})\n g.add_vertex(vertex.Vertex(s, {\"WEIGHT\": 0}))\n for v in self.get_vertices():\n dist[v] = float('inf')\n prev[v] = None\n discovered[v] = False\n dist[s] = 0\n l.append((s, dist[s]))\n while len(l) != 0:\n u = min(l, key=lambda x: x[1])\n l.remove(u)\n u = u[0]\n discovered[u] = True\n for v in self.get_adjacent_vertices_by_vertex(u):\n if not discovered[v]:\n alt = dist[u] + self.get_edge((u, v)).attr[\"WEIGHT\"]\n if alt < dist[v]:\n dist[v] = alt\n prev[v] = u\n l.append((v, dist[v]))\n g.add_vertex(vertex.Vertex(v, {\"WEIGHT\": dist[v]}))\n g.add_edge(edge.Edge(u, v, {\"WEIGHT\": dist[v]}))\n\n return g","def dijkstra(self, start, end):\n distance = {}\n path_weights = {start: (None, 0)}\n for key in self:\n distance[key] = float('inf')\n distance[start] = 0\n while distance:\n current = min(distance, key=distance.get)\n for neighbor in self[current]:\n temp_dist = distance[current] + self[current][neighbor]\n if neighbor in distance and temp_dist < distance[neighbor]:\n distance[neighbor] = temp_dist\n path_weights[neighbor] = (current, temp_dist)\n del distance[current]\n path = []\n prev = end\n while prev is not None:\n path.append(prev)\n prev = path_weights[prev][0]\n return list(reversed(path))","def dijkstra(graph, node):\n\n color = dict((n, 'white') for n in graph.nodes())\n distance = dict((n, float('inf')) for n in graph.nodes())\n distance[node] = 0\n pred = {}\n\n def visit(node):\n q = deque()\n color[node] = 'grey'\n # q.appendleft(node)\n while len(q) != 0:\n\n for adjacent in graph.outAdjacent(current_node):\n if color[adjacent] is 'white':\n color[adjacent] = 'grey'\n distance[adjacent] = distance[current_node] \\\n + graph.weight(current_node, adjacent)\n pred[adjacent] = current_node\n q.appendleft(adjacent)\n elif color[adjacent] is 'grey':\n new_path_dist = distance[current_node] + \\\n graph.weight(current_node, adjacent)\n if distance[adjacent] > new_path_dist:\n distance[adjacent] = new_path_dist\n\n color[current_node] = 'black'\n\n\n visit(node)\n\n for node, color in color.items():\n if color is 'white':\n visit(node)\n return distance","def getShortestPath(self, src, dest):\n vertices = self.floorGraph.getVertList()\n unvisitedQueue = []\n srcPath = Path()\n srcPath.addNode(src)\n srcPath.pathValue = 0\n unvisitedQueue.append(srcPath)\n connections = self.floorGraph.getVertex(src).getConnections()\n #initialisez distances\n for vertex in vertices:\n newPath = Path()\n newPath.nodeList = list(srcPath.nodeList)\n newPath.addNode(vertex)\n if self.floorGraph.getVertex(vertex) in connections:\n newPath.pathValue = self.floorGraph.getVertex(src).getWeight(self.floorGraph.getVertex(vertex))\n unvisitedQueue.append(newPath)\n else:\n newPath.pathValue = math.inf\n self.shortestDistanceMap[src+vertex] = newPath\n # updates distances as per shorter routes\n while len(unvisitedQueue) is not 0:\n unvisitedQueue = sorted(unvisitedQueue, key=functools.cmp_to_key(compareNodes))\n chkPath = unvisitedQueue.pop(0)\n chkNode = chkPath.nodeList[len(chkPath.nodeList)-1]\n for vertex in vertices:\n if(self.floorGraph.getVertex(vertex) in self.floorGraph.getVertex(chkNode).getConnections()):\n newWeight = chkPath.pathValue + self.floorGraph.getVertex(chkNode).getWeight(self.floorGraph.getVertex(vertex))\n if(newWeight < self.shortestDistanceMap[src+vertex].pathValue):\n self.shortestDistanceMap[src+vertex].pathValue = newWeight\n self.shortestDistanceMap[src+vertex].nodeList = list(chkPath.nodeList)\n self.shortestDistanceMap[src+vertex].nodeList.append(vertex)\n newPath = Path()\n newPath.nodeList = list(self.shortestDistanceMap[src+vertex].nodeList)\n newPath.pathValue = newWeight\n unvisitedQueue.append(newPath)\n print(self.shortestDistanceMap[src+dest].nodeList)\n print(self.shortestDistanceMap[src+dest].pathValue)","def tdsp_dijsktra(graphs, start_time, initial, end):\n shortest_paths = {initial: (None, 0)}\n current_node = initial\n visited = set()\n\n ts = get_timestep(time(start_time.hour, start_time.minute))\n current_time = start_time\n\n while current_node != end:\n visited.add(current_node)\n destinations = graphs[ts].edges[current_node]\n weight_to_current_node = shortest_paths[current_node][1]\n logger.debug(\"weight_to_current_node = {}\".format(weight_to_current_node))\n if weight_to_current_node > 0:\n # update the time.\n ct = convert_float_to_time(weight_to_current_node)\n current_time += timedelta(hours=ct.hour, minutes=ct.minute)\n ts = get_timestep(time(current_time.hour, current_time.minute))\n\n logger.debug(\"shortest_paths = {}\".format(shortest_paths))\n logger.debug(\"destinations = {}\".format(destinations))\n\n for next_node in destinations:\n logger.debug(\"current_node = {}\".format(current_node))\n logger.debug(\"next_node = {}\".format(next_node))\n logger.debug(\"ts = {}\".format(ts))\n graph_weight = graphs[ts].weights.get((current_node, next_node), 1.0) # Fixme: if there is no entry then default to cost of 1.0\n weight = graph_weight + weight_to_current_node\n logger.debug(\"graphs[{}].weights[({}, {})] = {}\".format(ts, current_node, next_node, graph_weight))\n logger.debug(\"weight_to_current_node = {}\".format(weight_to_current_node))\n logger.debug(\"weight = {}\".format(weight))\n if next_node not in shortest_paths:\n logger.debug(\"next_node {} not in shortest paths\".format(next_node))\n shortest_paths[next_node] = (current_node, weight)\n else:\n current_shortest_weight = shortest_paths[next_node][1]\n if current_shortest_weight > weight:\n shortest_paths[next_node] = (current_node, weight)\n\n logger.debug(\"shortest_paths = {}\".format(shortest_paths))\n\n next_destinations = {node: shortest_paths[node] for node in shortest_paths if node not in visited}\n logger.debug(\"next_destinations = {}\".format(next_destinations))\n\n if not next_destinations:\n return None\n\n current_node = min(next_destinations, key=lambda k: next_destinations[k][1])\n logger.debug(\"selected node for shortest path = {}\".format(current_node))\n\n logger.debug(\"shortest_paths = {}\".format(shortest_paths))\n\n path = []\n while current_node is not None:\n path.append(current_node)\n next_node = shortest_paths[current_node][0]\n current_node = next_node\n\n # Reverse the path\n path = path[::-1]\n return path","def Dijkstra2(node_init, node_end, graph):\n\n ### Parameter initialisation\n node_list = list(graph.vertices.keys())\n dist = np.full(len(node_list), -np.inf)\n # At the beginning we have not reached the end_node\n node_end_reached = False\n # At the beginning, we assume there is a shortest path:\n no_path = False\n \n # Initialising the distances of the nodes\n dist[node_init] = 0\n # Setting the father_node which contains the provenance of the nodes\n father_node = np.full(len(node_list), -np.inf)\n # Initialising the current node\n current_node = node_init \n # Initialising the dictionnary of fixed node which has the following shape:\n #{fixed_node: (previous_node, iteration, cost)}\n # Fixing the number of iterations\n k = 0\n dict_fixed_node = {node_init:(None,k, 0)}\n \n # In the trivial case where the two nodes are identical\n if node_init == node_end:\n cost = 0\n shortest_path = [node_init]\n no_path = False\n return cost, shortest_path, no_path\n \n # While the end node has not been reached\n while not node_end_reached:\n current_node_adj = graph.node_get_adj(current_node).copy()\n # We get rid off the nodes that have been fixed, except at the first iteration\n if k != 0:\n current_node_adj.remove(dict_fixed_node[current_node][0])\n ## Updating the distances : either the node are neighbors and \n # something might change, either they are not, and their distance \n # does not change.\n # For the neighbors node\n for e in current_node_adj:\n dist_temp = dist[current_node] + graph.weights[(current_node, e)]\n # We change the distance only if it is lower than it used to be\n # otherwise, we keep it\n if dist_temp < dist[e] or dist[e] == -np.inf:\n dist[e] = dist_temp\n # Setting the father node\n father_node[e] = current_node\n father_node[current_node] = None\n # We set the distance of the current node to 0\n dist[current_node] = 0 \n # Index and distances which are not 0 and not minus infty\n sub_dist_index = [i for i, e in enumerate(dist) if e > 0]\n sub_dist_value = np.array([e for i, e in enumerate(dist) if e > 0])\n # If these two lists are empty, we stop the algorithm and that means\n # that we cannot reach our point\n if not sub_dist_index or sub_dist_value.size == 0:\n no_path = True\n cost = 'impossible path'\n shortest_path = 'impossible path'\n break\n # Now we need to set our choice for the next node\n if np.array_equal(sub_dist_value, np.ones(len(sub_dist_value))):\n ## If there are only ones : we pick them up randomly\n current_node = int(random.choice(list(sub_dist_index)))\n min_dist = sub_dist_value.min()\n else:\n ## If not we just pick up the one with the minimum distance.\n current_node = sub_dist_index[sub_dist_value.argmin()]\n min_dist = sub_dist_value.min()\n # Adding this node to the dictionnary\n dict_fixed_node[current_node] = (int(father_node[current_node]), k, min_dist)\n # If the end_node has been reached, we stop the search algorithm\n if node_end in dict_fixed_node.keys():\n node_end_reached = True\n # Incrementing the counter\n k += 1\n #print('current_node : {}'.format(current_node))\n #print(dict_fixed_node)\n # Now we need to get the shortest path from our iterations whose information \n # are in dict_fixed_node. To do this, we need to circle back from the end_node\n # to the init_node in this dictionnary.\n # This is done only if some path between node_init and end_node exists.\n if no_path == False:\n list_father_node = list(dict_fixed_node.values())\n previous_node = list_father_node[-1][0]\n shortest_path = [node_end, previous_node]\n # While the initial node has not been reached, we add the relevant\n # nodes to our shortest path\n while previous_node != node_init:\n previous_node = dict_fixed_node[previous_node][0]\n shortest_path.append(previous_node)\n \n # Computing the cost of this shortest path in terms of weights\n cost = int(dict_fixed_node[node_end][2])\n \n return cost, shortest_path, no_path","def spDijkstra(self, node, returnPaths = False, nodeWeights = {}):\n # Initialize heap, not found nodes, and found nodes\n heap = map(lambda k:\\\n (0 if k == node else self.Inf, k,\\\n k if k == node else None), self.__nodes.keys())\n nodes = dict(map(lambda (i, n): (n[1], i), enumerate(heap)))\n found = defaultdict(lambda: None)\n \n # Set default node weight to zero\n nodeWeights = defaultdict(lambda: 0, nodeWeights)\n \n # Swap target node to beginning of heap\n Graph.__swapHeapNodes(heap, nodes, 0, nodes[node])\n \n # Iterate through nodes\n for stopPos in xrange(len(heap) - 1, -1 , -1):\n # Pop minimum node\n n = Graph.__heappop(heap, nodes, 0, stopPos)\n \n # Add to found nodes\n found[n[1]] = (n[0], n[2])\n \n # Update path length for nodes reachable from minimum node\n for e in self.__nodes[n[1]]['tails']:\n # Get edge components\n tail, head, weight = self.__edges[e]\n \n # Continue if head node already found\n if found[head] is not None: continue\n \n # Calculate new path length and update if less than current\n newLen = n[0] + weight + nodeWeights[tail] - nodeWeights[head]\n if newLen < heap[nodes[head]][0]:\n heap[nodes[head]] = (newLen, head, tail)\n Graph.__siftup(heap, nodes, nodes[head])\n \n # Remove node weights from path lenghts\n found = dict(map(lambda k:\\\n (k, (found[k][0] - nodeWeights[node] + nodeWeights[k], found[k][1])),\\\n found.keys()))\n \n # Return shortest paths\n return self.__reconstructPath(found, returnPaths)","def dijkstra_shortest_path(graph, search):\n distances_from_start = [None] * len(graph)\n\n visited_vertexes = []\n\n current_vertex = 0\n\n distances_from_start[current_vertex] = [0, 0] # [distance from start, via vertex]\n\n for row in range(len(graph)):\n\n current_vertex = row\n\n #print(\"Current vertex: \", current_vertex)\n\n # Iterate through each column in the current row in the adjacency matrix\n for col in range(len(graph[current_vertex])):\n\n if graph[current_vertex][col] is not None and distances_from_start[col] is None:\n distances_from_start[col] = [distances_from_start[current_vertex][0] + graph[current_vertex][col], current_vertex]\n\n elif graph[current_vertex][col] is not None and (graph[current_vertex][col] + distances_from_start[current_vertex][0]) < distances_from_start[col][0]:\n distances_from_start[col] = [(graph[current_vertex][col] + distances_from_start[current_vertex][0]), current_vertex]\n\n print(\"Distances from start: \", distances_from_start) # show updated distances_from_start array\n\n # Add current_vertex to visited list so that its distance from the start is calculated again in future\n if current_vertex not in visited_vertexes:\n visited_vertexes.append(current_vertex)\n\n # print(\"Visited vertexes: \", visited_vertexes)\n\n # Print the shortest path in a friendly format\n print(\"Shortest path:\")\n current_vertex = search #len(graph) - 1\n path_string = \"\"\n orderlist = []\n while current_vertex > 0:\n\n # Add the distance for the current vertex from the start in brackets after the letter of the vertex.\n path_string = \"{0}({1}) \".format(chr(current_vertex + 65), distances_from_start[current_vertex][0]) + path_string\n\n temp = [chr(current_vertex + 65), distances_from_start[current_vertex][0]]\n\n orderlist.append(temp)\n\n # Update the current vertex to be the one that the current one goes via on its way back to the start\n current_vertex = distances_from_start[current_vertex][1] # distances_from_start[vertex number, via vertex]\n\n\n # Add the start vertex to the output string as the while loop will stop before we add its details to the string\n path_string = \"{0}({1}) \".format(chr(current_vertex + 65), distances_from_start[current_vertex][0]) + path_string\n\n temp = [chr(current_vertex + 65), distances_from_start[current_vertex][0]]\n orderlist.append(temp)\n\n print(path_string)\n\n return orderlist[::-1]","def shortest_path__dijkstra__priority_queue(self, source, target=None):\n dist = {} # best distances to `v` from `source`\n prev = {} # predecessors of `v`\n Q = PriorityQueue()\n\n dist[source] = 0\n Q.add_with_priority(source, 0)\n\n for v in self.vertices:\n if v != source:\n dist[v] = self.INFINITY # unknown distance from source to `v`\n prev[v] = None # predecessor of `v`\n\n # the main loop\n reached_target = False\n while not Q.is_empty and not reached_target:\n priority, u = Q.extract_min() # remove and return best vertex\n\n # go through all `v` neighbors of `u`\n for v, edge_weight in self.neighbors_of(u):\n alt = dist[u] + edge_weight\n if alt < dist[v]:\n # current known shortest path to `v` is...\n dist[v] = alt # with distance `alt`\n prev[v] = u # through vertex `u`\n\n if not Q.contains(v):\n Q.add_with_priority(v, alt)\n\n if target is not None and u == target:\n # break as soon as `target` is reached\n # no need to calculate shortest path between every pair of vertices\n reached_target = True\n\n if target is not None and reached_target:\n S = [] # holds the shortest path, or empty if None\n u = target\n if u in prev or u == source:\n while u is not None:\n S.append(u)\n u = prev.get(u)\n\n path = S[::-1]\n distance = sum([v.weight for v in S])\n else:\n path = None\n distance = None\n\n return path, distance, dist","def shortest_route(self, src, dest):\n\n # Dijkstra with unusual start condition to prevent src -> src == 0 distance\n x_in = set()\n a = defaultdict(lambda: float('inf'))\n v = self.V.copy()\n\n for node, cost in self.G[src].items():\n a[node] = cost\n x_in.add(node)\n v.remove(node)\n\n while x_in != self.V:\n mn = float('inf')\n new = None\n for x in x_in:\n for node, cost in self.G[x].items():\n if node in v:\n if (a[x] + cost) < mn: # optimize large/dense G with pri. q\n mn = a[x] + cost\n new = (x, node, cost)\n if new is None:\n break\n x, node, cost = new\n x_in.add(node)\n v.remove(node)\n a[node] = a[x] + cost\n return a[dest]","def dijkstra(self, seed=0):\n import heapq\n if hasattr(seed, '__iter__') == False:\n seed = [seed]\n try:\n if (self.weights < 0).any():\n raise ValueError('some weights are non-positive')\n except:\n raise ValueError('undefined weights')\n dist, active = np.inf * np.ones(self.V), np.ones(self.V)\n idx, neighb, weight = self.compact_neighb()\n dist[seed] = 0\n dg = list(zip(np.zeros_like(seed), seed))\n heapq.heapify(dg)\n for j in range(self.V):\n end = False\n while True:\n if len(dg) == 0:\n end = True\n break\n node = heapq.heappop(dg)\n if active[node[1]]:\n break\n if end:\n break\n dwin, win = node\n active[win] = False\n # the folllowing loop might be vectorized\n l = neighb[idx[win]: idx[win + 1]]\n newdist = dwin + weight[idx[win]: idx[win + 1]]\n who = newdist < dist[l]\n for z in zip(newdist[who], l[who]):\n heapq.heappush(dg, z)\n dist[l[who]] = newdist[who]\n return dist","def dijkstra(wg, root):\n first = wg.index_of(root)\n distances = [None,] * wg.vertex_count\n distances[first] = 0\n paths = {}\n pq = PriorityQueue()\n\n # (1) Adds the starting node to the pq\n pq.push(DijkstraNode(first, 0))\n\n # (4) loops untill pq is empty\n while not pq.empty:\n # (2) Pop the closest vertex from the pq\n u = pq.pop().vertex\n dist_u = distances[u]\n\n # (3) Look at all of the cv's neibors\n for we in wg.edges_for_index(u):\n dist_v = distances[we.v]\n\n # (3a) If this path has not been recored, or offers a new, shorter, route\n if dist_v is None or dist_v > (we.weight + dist_u):\n # (3b) Update dist to vertex\n distances[we.v] = we.weight + dist_u\n # (3b) Update path to vertex\n paths[we.v] = we\n # (3c) add to pq\n pq.push(DijkstraNode(we.v, we.weight + dist_u))\n\n # (5) return shortest paths\n return distances, paths","def shortest_path(source, target):\n #although lecture checks for goal when a node is popped off the frontier, efficiency of search can be improved\n #by checking for a goal as nodes are ADDED. If goal detected, don't add it to frontier, just return the solution\n #immediately\n\n #create start point\n start = Node(state = source, parent = None, action = None)\n frontier = QueueFrontier()\n frontier.add(start)\n\n #create explored set\n explored = set()\n\n while True:\n #if nothing left in frontier, no path exists\n if frontier.empty():\n return None\n\n #choose a node from the frontier\n node = frontier.remove()\n #if node is goal, we have solution\n\n #add neighbors 2 frontier using function THATS ALR THERE DUMMY\n for (movie, star) in neighbors_for_person(node.state):\n newNode = Node(state = star, parent = node, action=movie)\n if not frontier.contains_state(newNode) and newNode.state not in explored:\n if newNode.state == target:\n #reverse the solution\n solution = []\n while newNode.parent is not None:\n actionTuple = (newNode.action, newNode.state)\n solution.append(actionTuple)\n newNode = newNode.parent\n solution.reverse()\n return solution\n else: frontier.add(newNode)\n\n #mark state as explored\n explored.add(node.state)","def dijkstra(grid,start,end, heuristic_cost=null_heuristic):\n return a_star(grid,start,end, heuristic_cost)","def shortest(self, from_node, to_node):\n print \"Shortest path from {} to {}\".format(from_node.name, to_node.name)\n current = from_node\n solution = {current.name: 0}\n visited = []\n if from_node.name == to_node.name:\n return \"No route necessary\"\n\n while current:\n if current.name == to_node.name:\n return \"Solution {}\".format(solution.get(to_node.name))\n\n for edge in current.edges:\n # look at routes from this node\n if edge.from_node.name != current.name:\n continue\n weight = (solution.get(edge.from_node.name) or 0) + edge.weight\n if not solution.get(edge.to_node.name):\n solution.update({edge.to_node.name: weight})\n elif solution.get(edge.to_node.name) > weight:\n solution.update({edge.to_node.name: weight})\n\n # find the lowest weight, go to that node next\n lowest = None\n next_node = None\n for node_name, weight in solution.iteritems():\n if node_name in visited:\n continue\n if lowest is None or weight < lowest:\n lowest = weight\n next_node = self.graph.nodes.get(node_name)\n visited.append(current.name)\n current = next_node\n return \"No solution\"","def solve(G):\n\n dominatingSet = nx.algorithms.approximation.dominating_set.min_weighted_dominating_set(G, weight=\"weight\")\n\n # Create the graph T and input the dominating set.\n T = nx.Graph()\n T.add_nodes_from(dominatingSet)\n\n # When the graph is fully dominated by one node, the cost is zero.\n if len(dominatingSet) == 1:\n return T\n\n # The variable defined below, apsp, stands for all pairs shortest paths from calling NetworkX built-in Dijkstra's algorithm.\n apsp = dict(nx.algorithms.shortest_paths.weighted.all_pairs_dijkstra(G, weight = \"weight\"))\n\n # In each iteration of the following for loop, we connect node to node2.\n node2 = None\n for node in dominatingSet:\n\n connected_nodes = nx.dfs_preorder_nodes(T, source=node2)\n\n print(\"Connecting \", node, \"to\", node2)\n print(node2, \"descendants: \", [n for n in connected_nodes])\n\n if node2 is not None and node2 not in list(connected_nodes):\n\n # We want to connect node to node2 in the cheapest way possible.\n # Thus, we search from all nodes connected to node2.\n # By default, we choose the shortest path from node to node2.\n shortest_path = apsp[node2][1][node]\n path_cost = apsp[node2][0][node]\n\n # Now, evaluate if there is a shorter, cheaper path from a different vertex.\n for connected_node in list(nx.dfs_preorder_nodes(T, source=node2)):\n print(\" Cheapest path from \" + str(connected_node) + \": \" + str(apsp[connected_node][0][node]))\n if apsp[connected_node][0][node] < path_cost:\n shortest_path = apsp[connected_node][1][node]\n path_cost = apsp[connected_node][0][node]\n print(\"Updating best path to \" + str(shortest_path) + \", cost \" + str(path_cost))\n\n print(\"Found path via \" + str(shortest_path) + \" of cost \" + str(path_cost))\n\n # Add all necessary vertices.\n for vertex in shortest_path:\n if vertex not in dominatingSet:\n T.add_node(vertex)\n\n # Add all necessary edges.\n for i in range(len(shortest_path) - 1):\n origin = shortest_path[i]\n terminus = shortest_path[i+1]\n T.add_edge(origin, terminus, weight=G.get_edge_data(origin, terminus)['weight'])\n #T[origin][terminus]['weight'] = G.get_edge_data(origin, terminus)['weight']\n\n node2 = node\n print()\n\n current_average = average_pairwise_distance(T)\n last_average = 4000\n print(current_average)\n\n # Until adding more edges doesn't improve the average pairwise cost\n while current_average < last_average:\n last_average = current_average\n # For every node in T\n for node in nx.dfs_preorder_nodes(T, source=list(T.nodes)[0]):\n neighbors = nx.algorithms.traversal.breadth_first_search.bfs_tree(G, node, reverse=False, depth_limit=1)\n # Get one of its neighbors NOT in T\n for node2 in neighbors:\n # and add the edge between that vertex and its neighbor\n # if it decreases the average pairwise cost.\n if node2 not in T and G.get_edge_data(node, node2)\\\n and G[node][node2]['weight'] < current_average:\n T.add_node(node2)\n T.add_edge(node, node2, weight=G.get_edge_data(node, node2)['weight'])\n new_average = average_pairwise_distance(T)\n if new_average > current_average:\n T.remove_node(node2)\n #T.remove_edge(node, node2)\n else:\n current_average = new_average\n print(\"Adding an edge between\", node, \"and\", node2, \"yields average\", new_average)\n\n\n\n print(\"Dominating vertices:\", [node for node in T])\n\n return T","def k_shortest_paths(G, source, target, k=1, weight='weight'):\n\tif source == target:\n\t\treturn ([0], [[source]]) \n\t \n\tlength, path = nx.single_source_dijkstra(G, source, target, weight=weight)\n\tif target not in length:\n\t\traise nx.NetworkXNoPath(\"node %s not reachable from %s\" % (source, target))\n\t\t\n\tlengths = [length[target]]\n\tpaths = [path[target]]\n\tc = count()\t\t\n\tB = []\t\t\t\t\t\t\n\tG_original = G.copy()\t\n\t\n\tfor i in range(1, k):\n\t\tfor j in range(len(paths[-1]) - 1):\t\t\t\n\t\t\tspur_node = paths[-1][j]\n\t\t\troot_path = paths[-1][:j + 1]\n\t\t\t\n\t\t\tedges_removed = []\n\t\t\tfor c_path in paths:\n\t\t\t\tif len(c_path) > j and root_path == c_path[:j + 1]:\n\t\t\t\t\tu = c_path[j]\n\t\t\t\t\tv = c_path[j + 1]\n\t\t\t\t\tif G.has_edge(u, v):\n\t\t\t\t\t\tedge_attr = G.edge[u][v]\n\t\t\t\t\t\tG.remove_edge(u, v)\n\t\t\t\t\t\tedges_removed.append((u, v, edge_attr))\n\t\t\t\n\t\t\tfor n in range(len(root_path) - 1):\n\t\t\t\tnode = root_path[n]\n\t\t\t\t# out-edges\n\t\t\t\tfor u, v, edge_attr in G.copy().edges_iter(node, data=True):\n\t\t\t\t\tG.remove_edge(u, v)\n\t\t\t\t\tedges_removed.append((u, v, edge_attr))\n\t\t\t\t\n\t\t\t\tif G.is_directed():\n\t\t\t\t\t# in-edges\n\t\t\t\t\tfor u, v, edge_attr in G.in_edges_iter(node, data=True):\n\t\t\t\t\t\tG.remove_edge(u, v)\n\t\t\t\t\t\tedges_removed.append((u, v, edge_attr))\n\t\t\t\n\t\t\tspur_path_length, spur_path = nx.single_source_dijkstra(G, spur_node, target, weight=weight)\t\t\t\n\t\t\tif target in spur_path and spur_path[target]:\n\t\t\t\ttotal_path = root_path[:-1] + spur_path[target]\n\t\t\t\ttotal_path_length = get_path_length(G_original, root_path, weight) + spur_path_length[target]\t\t\t\t\n\t\t\t\theappush(B, (total_path_length, next(c), total_path))\n\t\t\t\t\n\t\t\tfor e in edges_removed:\n\t\t\t\tu, v, edge_attr = e\n\t\t\t\tG.add_edge(u, v, edge_attr)\n\t\t\t\t\t \n\t\tif B:\n\t\t\t(l, _, p) = heappop(B)\n\t\t\tlengths.append(l)\n\t\t\tpaths.append(p)\n\t\telse:\n\t\t\tbreak\n\t\n\treturn (lengths, paths)","def k_shortest_paths(G, source, target, k=1, weight='weight'):\n\tif source == target:\n\t\treturn ([0], [[source]]) \n\t \n\tlength, path = nx.single_source_dijkstra(G, source, target, weight=weight)\n\tif target not in length:\n\t\traise nx.NetworkXNoPath(\"node %s not reachable from %s\" % (source, target))\n\t\t\n\tlengths = [length[target]]\n\tpaths = [path[target]]\n\tc = count()\t\t\n\tB = []\t\t\t\t\t\t\n\tG_original = G.copy()\t\n\t\n\tfor i in range(1, k):\n\t\tfor j in range(len(paths[-1]) - 1):\t\t\t\n\t\t\tspur_node = paths[-1][j]\n\t\t\troot_path = paths[-1][:j + 1]\n\t\t\t\n\t\t\tedges_removed = []\n\t\t\tfor c_path in paths:\n\t\t\t\tif len(c_path) > j and root_path == c_path[:j + 1]:\n\t\t\t\t\tu = c_path[j]\n\t\t\t\t\tv = c_path[j + 1]\n\t\t\t\t\tif G.has_edge(u, v):\n\t\t\t\t\t\tedge_attr = G.edge[u][v]\n\t\t\t\t\t\tG.remove_edge(u, v)\n\t\t\t\t\t\tedges_removed.append((u, v, edge_attr))\n\t\t\t\n\t\t\tfor n in range(len(root_path) - 1):\n\t\t\t\tnode = root_path[n]\n\t\t\t\t# out-edges\n\t\t\t\tfor u, v, edge_attr in G.copy().edges_iter(node, data=True):\n\t\t\t\t\tG.remove_edge(u, v)\n\t\t\t\t\tedges_removed.append((u, v, edge_attr))\n\t\t\t\t\n\t\t\t\tif G.is_directed():\n\t\t\t\t\t# in-edges\n\t\t\t\t\tfor u, v, edge_attr in G.in_edges_iter(node, data=True):\n\t\t\t\t\t\tG.remove_edge(u, v)\n\t\t\t\t\t\tedges_removed.append((u, v, edge_attr))\n\t\t\t\n\t\t\tspur_path_length, spur_path = nx.single_source_dijkstra(G, spur_node, target, weight=weight)\t\t\t\n\t\t\tif target in spur_path and spur_path[target]:\n\t\t\t\ttotal_path = root_path[:-1] + spur_path[target]\n\t\t\t\ttotal_path_length = get_path_length(G_original, root_path, weight) + spur_path_length[target]\t\t\t\t\n\t\t\t\theappush(B, (total_path_length, next(c), total_path))\n\t\t\t\t\n\t\t\tfor e in edges_removed:\n\t\t\t\tu, v, edge_attr = e\n\t\t\t\tG.add_edge(u, v, edge_attr)\n\t\t\t\t\t \n\t\tif B:\n\t\t\t(l, _, p) = heappop(B)\t\t\n\t\t\tlengths.append(l)\n\t\t\tpaths.append(p)\n\t\telse:\n\t\t\tbreak\n\t\n\treturn (lengths, paths)","def shortest_path(self, from_node):\n\n\t\t# add the final nodes when algorithm goes past the target prediction time \n\t\tif self.get_real_time(from_node.time) >= self.target:\n\t\t\tself.g.add_node(from_node, usage_cost=0, best_action=None, max_demand=self.starting_max_demand)\n\t\t\treturn\n\n\t\t#create the action set (0 is for do nothing, 1 is for cooling, 2 is for heating)\n\t\taction_set = self.safety.safety_actions(from_node.temps)\n\t\t\n\t\t#iterate for each available action\n\t\tfor action in action_set:\n\t\t\t\n\t\t\t# predict temperature and energy consumption of action\n\t\t\tnew_temperature = []\n\t\t\tconsumption = []\n\t\t\tfor i in range(self.noZones):\n\t\t\t\tnew_temperature.append(self.th.next_temperature(from_node.temps[i], action[i], zone=i))\n\t\t\t\tconsumption.append(self.energy.calc_cost(action[i], from_node.time/self.interval))\n\t\t\t\t\n\t\t\tif self.safety.safety_check(new_temperature) and len(action_set) > 1:\n\t\t\t\tcontinue\n\n\t\t\t# create the node that describes the predicted data\n\t\t\tnew_node = Node(\n\t\t\t\ttemps=new_temperature,\n\t\t\t\ttime=from_node.time + self.interval\n\t\t\t)\n\n\t\t\t# calculate interval costs\n\t\t\tdemand_balancer = (((self.target - self.get_real_time(from_node.time/self.interval)).total_seconds() / 60) / self.billing_period)\n\t\t\tinterval_usage_cost = sum(consumption) + self.interval_usage[int(from_node.time/self.interval)]\n\t\t\tinterval_demand = self.interval_demand[int(from_node.time/self.interval)]\n\n\t\t\t#calculate interval discomfort\n\t\t\tdiscomfort = [0] * self.noZones\n\n\t\t\tfor i in range(self.noZones):\n\t\t\t\tdiscomfort[i] = self.disc.disc(new_temperature[i], self.occ.occ(from_node.time/self.interval), from_node.time)\n\n\t\t\t# create node if the new node is not allready in graph\n\t\t\t# recursively run shortest path for the new node\n\t\t\tif new_node not in self.g:\n\t\t\t\tself.g.add_node(new_node, usage_cost=np.inf, best_action=None, max_demand=np.inf)\n\t\t\t\tself.shortest_path(new_node)\n\n\t\t\t# calculate path costs\n\t\t\tthis_path_demand = max(self.g.node[new_node]['max_demand'], interval_demand)\n\t\t\tthis_path_demand_cost = demand_balancer * this_path_demand\n\n\t\t\tinterval_overall_cost = ((1 - self.l) * (interval_usage_cost + this_path_demand_cost)) + (self.l * (sum(discomfort)))\n\n\t\t\tthis_path_cost = self.g.node[new_node]['usage_cost'] + interval_overall_cost\n\n\t\t\t# add the edge connecting this state to the previous\n\t\t\tself.g.add_edge(from_node, new_node, action=action)\n\n\t\t\t# choose the shortest path\n\t\t\tif this_path_cost <= self.g.node[from_node]['usage_cost']:\n\t\t\t\tif this_path_cost == self.g.node[from_node]['usage_cost'] and self.g.node[from_node]['best_action'] == '0':\n\t\t\t\t\tcontinue\n\t\t\t\tself.g.add_node(from_node, best_action=new_node, usage_cost=this_path_cost, max_demand=this_path_demand)","def shortest_path(self, source, target):\r\n key = self.d.keys()\r\n #check that endpoints are in graph\r\n if source not in key or target not in key:\r\n raise KeyError(str(source) + \" and \" + str(target) + \" must be in graph\")\r\n #initialize V,Q and M\r\n V = []\r\n vis = dict()\r\n Q = deque()\r\n Q.append(source)\r\n M = set(source)\r\n #while target has not been visited\r\n while target not in M:\r\n #take first element of Q\r\n current = Q.popleft()\r\n #add element to visited\r\n V.append(current)\r\n neighbors = self.d[current]\r\n #for each neighbor of element\r\n for n in neighbors:\r\n #if element has not been checked, add it to queue\r\n #also save traveled edge in visited\r\n if n not in M:\r\n Q.append(n)\r\n vis.update({n:current})\r\n M.add(n)\r\n L = [target]\r\n #reverse the order of the traveled edges\r\n while L[-1] in vis.keys():\r\n L.append(vis[L[-1]])\r\n return L[::-1]","def dijsktra(graph, initial, end):\n shortest_paths = {initial: (None, 0)}\n current_node = initial\n visited = set()\n\n while current_node != end:\n visited.add(current_node)\n destinations = graph.edges[current_node]\n weight_to_current_node = shortest_paths[current_node][1]\n logger.debug(\"shortest_paths = {}\".format(shortest_paths))\n\n for next_node in destinations:\n weight = graph.weights[(current_node, next_node)] + weight_to_current_node\n logger.debug(\"next_node = {}\".format(next_node))\n logger.debug(\"graph.weights[(current_node, next_node)] = {}\".format(graph.weights[(current_node, next_node)]))\n logger.debug(\"weight_to_current_node = {}\".format(weight_to_current_node))\n logger.debug(\"weight = {}\".format(weight))\n if next_node not in shortest_paths:\n shortest_paths[next_node] = (current_node, weight)\n else:\n current_shortest_weight = shortest_paths[next_node][1]\n if current_shortest_weight > weight:\n shortest_paths[next_node] = (current_node, weight)\n\n next_destinations = {node: shortest_paths[node] for node in shortest_paths if node not in visited}\n logger.debug(\"next_destinations = {}\".format(next_destinations))\n\n if not next_destinations:\n return \"Route not possible\"\n\n current_node = min(next_destinations, key=lambda k: next_destinations[k][1])\n logger.debug(\"current_node = {}\".format(current_node))\n\n path = []\n while current_node is not None:\n path.append(current_node)\n next_node = shortest_paths[current_node][0]\n current_node = next_node\n\n # Reverse the path\n path = path[::-1]\n return path","def dijkstras(graph_list, start):\n # for returning\n shortest_dist = dict()\n shortest_parent = dict()\n\n # create an adjacency list from the graph definition, and a dict for keeping track of parents\n graph = {} # our adjacency list dict\n parent = {} # our parents dict\n\n for fr, to, w in graph_list:\n if fr not in graph:\n graph[fr] = [(to, w)]\n else:\n graph[fr].append((to, w))\n\n if fr not in parent:\n parent[fr] = None\n if to not in parent:\n parent[to] = None\n\n # in this implementation of dijkstras, we keep track of a list of visited nodes in order to use a heap as-is,\n # without having to modify the heap's weights\n visited = set()\n heap = [(0, start, None)] # distance, node, parent\n\n while heap:\n curr_dist, node, par = heapq.heappop(heap)\n\n # only visit this node if it's not visited yet. The first time we visit a node, because of the heap, it's\n # guaranteed that it's the shortest path\n if node not in visited:\n # visit this node\n visited.add(node)\n\n # update shortest dict and parent dict\n shortest_dist[node] = curr_dist\n parent[node] = par\n\n # we won't visit this node again, so compute the parent list here\n curr_parent_list = []\n pnode = node\n # work out shortest parent\n while pnode:\n curr_parent_list.append(pnode)\n pnode = parent[pnode]\n shortest_parent[node] = curr_parent_list[::-1]\n\n # add adjacent nodes if they haven't been visited\n if node in graph:\n for to, w in graph[node]:\n if to not in visited:\n heapq.heappush(heap, (curr_dist + w, to, node))\n\n print(shortest_dist)\n print(shortest_parent)","def shortJourney(Alist,s,d):\n \"\"\"Find shortest distances to s in weighted graph, G\"\"\"\n \n #Initialize dictionaries\n dinit = 10**6\n Edict = {} #Explored nodes\n Udict = {} #Unexplored nodes\n path = [[] for l in Alist]\n\n Alen = len(Alist) #length of Alist\n dinits = [dinit]*Alen #list of airport indexes\n Udict = dict(zip(list(range(Alen)),dinits)) #zip into dictionary\n Udict[s] = 0\n path[s] = [s]\n \n #Main search\n while len(Udict)>0:\n #Find node with min d in Udict and move to Edict\n dmin = dinit\n for n,w in Udict.items():\n if w<dmin:\n dmin=w\n nmin=n\n Edict[nmin] = Udict.pop(nmin)\n print(\"moved node\", nmin)\n\n #Update provisional distances for unexplored neighbors of nmin \n for item in Alist[nmin]: #nminth element is a list of two element tuples (node, weight)\n n = item[0] #first elt of tuple is node/neighbour\n w = item[1] #2nd elt is density/weigh\n #for n,w in etc_______________________-\n \n if n in Edict:\n pass\n elif n in Udict:\n #key difference below\n dcomp = (w+dmin) #take sum as you go along\n if dcomp<Udict[n]:\n print(Udict)\n Udict[n]=dcomp\n path[n] = path[nmin] + [n]\n print(path) \n if nmin == d: #if current node is destination\n return [path[d],Edict[d]]\n return [] #no path","def shortest_path(graph, src, dest, modifiers):\r\n # Distances to source node\r\n distances = {vertex: float(\"inf\") for vertex in range(graph.num_vertices)}\r\n # Previous node in optimal path\r\n previous = {vertex: -1 for vertex in range(graph.num_vertices)}\r\n # Shortest path from source to source is 0\r\n distances[src] = 0\r\n # Initialize priority queue and vertex set\r\n pqueue = [(distances[src], src)]\r\n vertex_set = {src}\r\n\r\n while len(pqueue) != 0:\r\n vertex_added = False\r\n curr = heappop(pqueue)[1]\r\n vertex_set.remove(curr)\r\n for neighbor in graph.outgoing(curr):\r\n alt = distances[curr] + weight(neighbor, modifiers)\r\n other = neighbor.other(curr) # Opposite vertex\r\n if alt < distances[other]:\r\n distances[other] = alt\r\n previous[other] = curr\r\n if other not in vertex_set:\r\n vertex_added = True\r\n pqueue.append((alt, other))\r\n vertex_set.add(other)\r\n if vertex_added:\r\n heapify(pqueue)\r\n\r\n # Shortest path\r\n shortest_path = []\r\n shortest_path_distance = distances[dest]\r\n\r\n # Traverse previous[] to look for shortest path to target\r\n current_node = dest\r\n while previous[current_node] != -1:\r\n shortest_path.append(current_node)\r\n current_node = previous[current_node]\r\n if len(shortest_path) != 0:\r\n shortest_path.append(current_node)\r\n shortest_path.reverse()\r\n\r\n return shortest_path, shortest_path_distance","def shortestpaths(self, start, end, edgeweight=\"t_0\"):\n graph = self.graph\n shortest_nodepaths = list(\n nx.all_shortest_paths(\n graph, start, end, weight=edgeweight, method=\"dijkstra\"\n )\n )\n shortest_paths = []\n for path in shortest_nodepaths:\n edgepath = []\n for i in range(len(path) - 1):\n edgepath.append((path[i], path[i + 1]))\n shortest_paths.append(edgepath)\n\n return shortest_paths","def dijkstra_shortest_path(grid_obs, source, dest):\n #------------------------------------\n #\n # Fill and submit this code\n #\n predecessors = {source: float('inf')}\n visited_blocks = {source: 0}\n queue = PQ()\n queue.__setitem__(source, 0)\n goodIndices = []\n\n print len(grid_obs)\n\n for index in range(len(grid_obs)):\n if grid_obs[index] != \"air\":\n goodIndices.append(index)\n\n for index in goodIndices:\n if index != source:\n visited_blocks[index] = float('inf')\n\n while queue:\n blocks_to_go = []\n current_position = queue.smallest()\n del queue[current_position]\n\n for difference in [-81, -1, 1, 81]:\n if (current_position + difference) in goodIndices:\n blocks_to_go.append(current_position + difference)\n\n for block_Index in blocks_to_go:\n gap = visited_blocks[current_position] + 1\n if gap < visited_blocks[block_Index]:\n visited_blocks[block_Index] = gap\n predecessors[block_Index] = current_position\n queue.__setitem__(block_Index, gap)\n\n shortest_paths = []\n while dest != source:\n shortest_paths.append(dest)\n dest = predecessors[dest]\n shortest_paths.append(source)\n shortest_paths.reverse()\n\n return shortest_paths\n #-------------------------------------","def dijkstra_heap(graph, source_vertex):\n x = set()\n heap = []\n shortest_key = {source_vertex: 0}\n heapq.heappush(heap, (0, source_vertex))\n\n for v in graph.keys():\n if v != source_vertex:\n shortest_key[v] = float('inf')\n heapq.heappush(heap, (float('inf'), v))\n\n while heap:\n length_w, w = heapq.heappop(heap)\n x.add(w)\n for y in graph[w].dist.keys():\n idx_to_remove = search_vertex(heap, y)\n\n #################################################################################\n ### Since the graph given it not strictly directive ###\n ### idx_to_remove is None only if it comes from the opposite direction ###\n ### e.g. 1 -> 8 (already processed), but in future, we have to process 8 -> 1 ###\n #################################################################################\n if idx_to_remove is None:\n continue\n #################################################################################\n # Swap the index to be remove to the last and remove it\n heap[idx_to_remove], heap[-1] = heap[-1], heap[idx_to_remove]\n length_y, y = heap.pop()\n\n # Calculate the new length (dijkstra score)\n new_length_y = min(length_y, length_w + graph[w].dist[y])\n heapq.heappush(heap, (new_length_y, y))\n\n # Maintaining the heap invariant\n heapq.heapify(heap)\n\n # Update shortest_key\n shortest_key[y] = new_length_y\n\n return [shortest_key[i] for i in NEXT_TO_VERTICES]","def dijkstra(start, vertex_list, line_list, vertex_labels, polygons):\n # create stack Q with all vertices including the arbitrary starting point\n Q = {**vertex_labels}\n Q[0] = start\n vertex_labels_with_start = {**Q}\n dist = {}\n prev = {}\n for key, val in Q.items():\n dist[key] = 1e10\n prev[key] = None\n # start has zero distance to itself\n dist[0] = 0\n while Q:\n min_ = 1e10\n curr_vertex = None\n # simulates priority queue (min heap) with for loop\n for v in Q.keys():\n if dist[v] < min_:\n curr_vertex = v\n min_ = dist[v]\n # curr_vertex = min(dist, key=dist.get)\n if curr_vertex is None:\n print(\"Target cannot be reached!\")\n break\n Q.pop(curr_vertex)\n invalid_point = False\n for poly in polygons:\n if inside_polygon(vertex_labels_with_start[curr_vertex], poly):\n invalid_point = True\n break\n if invalid_point:\n continue\n if curr_vertex == len(vertex_list):\n break\n _, vis_labels = visibility_graph(vertex_labels_with_start[curr_vertex], vertex_list, line_list)\n # Just implement dijkstra - need a way to mark vertices with labels\n for elem in vis_labels:\n if elem in Q:\n alt = dist[curr_vertex] + np.sqrt(len2((diff_(vertex_labels_with_start[curr_vertex],\n vertex_labels_with_start[elem]))))\n if alt < dist[elem]:\n dist[elem] = alt\n prev[elem] = curr_vertex\n return dist, prev","def min_path(vs, es, source, target):\n dijkstra(vs, es, source, stop = target)\n test = target\n result = []\n while test != source:\n e = test._ss_edge\n result.append(e)\n test = e.v1 if e.v1 != test else e.v2\n assert test == source and test._ss_edge is None\n return result[::-1]","def dijkstra(graph, src, dest):\n\n distances = {}\n predecessors = {}\n Q = {}\n\n # a few sanity checks\n if src not in graph:\n raise TypeError(\"The root of the shortest path tree cannot be found\")\n if dest not in graph:\n raise TypeError(\"The target of the shortest path cannot be found\")\n for v in graph:\n distances[v] = float(\"inf\")\n predecessors[v] = None\n Q[v] = float(\"inf\")\n\n distances[src] = 0\n Q[src] = 0\n\n while Q:\n u = min(Q, key=Q.get)\n\n del Q[u]\n\n for neighbor in graph[u]:\n\n if neighbor in Q:\n\n new_distance = distances[u] + graph[u][neighbor]\n if new_distance < distances.get(neighbor):\n distances[neighbor] = new_distance\n Q[neighbor] = new_distance\n predecessors[neighbor] = u\n return (distances, predecessors)","def k_shortest_paths(\n self,\n G,\n source,\n target,\n k=1,\n weight='weight',\n ):\n\n if source == target:\n return ([0], [[source]])\n\n (length, path) = nx.single_source_dijkstra(G, source, target,\n weight=weight)\n if target not in length:\n raise nx.NetworkXNoPath('node %s not reachable from %s' % (source,\n target))\n\n lengths = [length[target]]\n paths = [path[target]]\n c = count()\n B = []\n\n # Is deep copy really required?\n # Fails due to embedded Ctype objects which can not be pickled\n # # G_original = G.copy()\n # Swapping with shallow copy...will it work?\n\n G_original = G\n if nx.is_directed(G_original):\n G = nx.DiGraph(G_original)\n else:\n G = nx.Graph(G_original)\n\n ######################################\n #TODO: wrap this up somehow\n print ''\n print term.move_up + term.move_up\n ######################################\n print 'getting K:{} paths...'.format(k),\n for i in range(1, k):\n with term.location():\n print i\n for j in range(len(paths[-1]) - 1):\n spur_node = paths[-1][j]\n root_path = (paths[-1])[:j + 1]\n\n edges_removed = []\n for c_path in paths:\n if len(c_path) > j and root_path == c_path[:j + 1]:\n u = c_path[j]\n v = c_path[j + 1]\n if G.has_edge(u, v):\n edge_attr = G.edge[u][v]\n G.remove_edge(u, v)\n edges_removed.append((u, v, edge_attr))\n\n for n in range(len(root_path) - 1):\n node = root_path[n]\n\n # out-edges\n\n for (u, v, edge_attr) in G.edges_iter(node, data=True):\n\n # print 'lala1: {} -> {}'.format(u,v)\n\n G.remove_edge(u, v)\n edges_removed.append((u, v, edge_attr))\n\n if G.is_directed():\n\n # in-edges\n\n for (u, v, edge_attr) in G.in_edges_iter(node,\n data=True):\n\n # print 'lala2: {} -> {}'.format(u,v)\n\n G.remove_edge(u, v)\n edges_removed.append((u, v, edge_attr))\n\n (spur_path_length, spur_path) = nx.single_source_dijkstra(G,\n spur_node, target, weight=weight)\n if target in spur_path and spur_path[target]:\n total_path = root_path[:-1] + spur_path[target]\n total_path_length = self.get_path_length(G_original,\n root_path, weight) + spur_path_length[target]\n heappush(B, (total_path_length, next(c), total_path))\n\n for e in edges_removed:\n (u, v, edge_attr) = e\n G.add_edge(u, v, edge_attr)\n\n if B:\n (l, _, p) = heappop(B)\n lengths.append(l)\n paths.append(p)\n else:\n break\n\n return (lengths, paths)","def dijkstra(edges):\n\n # Initializing heap\n minimizingCandidateEdges = Heap(1 * len(edges), 4)\n\n # No vertices in candidate edges heap initially\n verticesInCurrentHeap = []\n\n # Initiaizing vertices in current heap with potential candidates from\n # source vertex initially\n for directedEdge in edges:\n # From conquered(start vertex) to unconquered territory\n # (all expect start vertex)\n if (directedEdge.startVertex == startVertex) and (directedEdge.endVertex != startVertex):\n verticesInCurrentHeap.append(directedEdge.endVertex)\n dijkstraCriterion = distances[ directedEdge.startVertex ] + directedEdge.edgeWeight\n directedEdge.setDijkstraCriterion(dijkstraCriterion)\n minimizingCandidateEdges.insertElement( directedEdge, minimizingCandidateEdges.getI() )\n else:\n continue\n\n # Variable to keep track of last removed vertex\n lastRemovedVertex = None\n\n # While all vertices are not conquered\n while len(visitedVertices) != noOfVertices:\n\n # Getting minimum candidate edge from heap\n minimumDijkstraCriterionEdge = minimizingCandidateEdges.extractMinimum()\n # Updating minimum distance in distances answer accordingly\n distances[ minimumDijkstraCriterionEdge.endVertex ] = minimumDijkstraCriterionEdge.dijkstraCriterion\n # Removing that edge\n minimizingCandidateEdges.removeMinimum()\n\n # Keeping track of indices to remove due to that edge\n indicesToRemove = []\n for i in range(minimizingCandidateEdges.i):\n edge = minimizingCandidateEdges.heap[i]\n # Continue if \"NaN\"\n if type(edge) == str:\n continue\n # Remove if this condition holds true\n if edge.endVertex == minimumDijkstraCriterionEdge.endVertex:\n indicesToRemove.append(i)\n\n # Removing all those edges from heap\n for i in indicesToRemove:\n minimizingCandidateEdges.removeMinimum(i)\n\n # Updating last removed vertex, conquered territory, unconquered\n # territory and vertices in current heap\n lastRemovedVertex = minimumDijkstraCriterionEdge.endVertex\n visitedVertices.append(lastRemovedVertex)\n notVisitedVertices.remove(lastRemovedVertex)\n verticesInCurrentHeap.remove(lastRemovedVertex)\n\n # Updating heap edges and adding new potential edges\n for directedEdge in edges:\n\n # From last removed vertex to unconquered territory\n if (directedEdge.startVertex == lastRemovedVertex) and (directedEdge.endVertex in notVisitedVertices):\n\n # Required variables\n flag = True\n earlierDijkstraCriterion = None\n newDijkstraCriterion = None\n\n # If not in heap, then add edge\n if (directedEdge.endVertex not in verticesInCurrentHeap):\n\n verticesInCurrentHeap.append(directedEdge.endVertex)\n dijkstraCriterion = distances[ directedEdge.startVertex ] + directedEdge.edgeWeight\n directedEdge.setDijkstraCriterion(dijkstraCriterion)\n minimizingCandidateEdges.insertElement( directedEdge, minimizingCandidateEdges.getI() )\n\n # Else if present in heap, check for current dijkstra\n # criterion and new dijkstra criterion, update if\n # required\n else:\n\n # New possible dijkstra criterion\n newDijkstraCriterion = distances[ directedEdge.startVertex ] + directedEdge.edgeWeight\n removeIndex = None\n\n # Getting earlier dijkstra edge and its older criterion\n for i in range(minimizingCandidateEdges.i):\n edge = minimizingCandidateEdges.heap[i]\n if type(edge) == str:\n continue\n if edge.endVertex == directedEdge.endVertex:\n earlierDijkstraCriterion = edge.dijkstraCriterion\n removeIndex = i\n break\n\n # If found such an index\n if removeIndex != None:\n\n # Update if new dijkstra criterion is lesser than\n # older one\n if newDijkstraCriterion < earlierDijkstraCriterion:\n minimizingCandidateEdges.removeMinimum(removeIndex)\n directedEdge.setDijkstraCriterion(newDijkstraCriterion)\n minimizingCandidateEdges.insertElement(directedEdge, minimizingCandidateEdges.getI())\n\n # Else if not found such an index\n else:\n # If earlier dijkstra criterion is none, that is the\n # edge doesn't exist in heap, then add the edge\n if earlierDijkstraCriterion == None:\n directedEdge.setDijkstraCriterion(newDijkstraCriterion)\n minimizingCandidateEdges.insertElement(directedEdge, minimizingCandidateEdges.getI())\n\n # If earlier dijkstra criterion is smaller and the\n # edge doesn't exist in heap, then add the edge\n elif newDijkstraCriterion > earlierDijkstraCriterion:\n directedEdge.setDijkstraCriterion(earlierDijkstraCriterion)\n minimizingCandidateEdges.insertElement(directedEdge, minimizingCandidateEdges.getI())","def bellman_fords_shortest_path(graph: Graph[T], source_vertex_data: T) -> \\\n Tuple[bool, Dict[Vertex[T], int], Dict[Vertex[T], Vertex[T]]]:\n\n vertex_distance_mapping: Dict[Vertex[T], int] = defaultdict(lambda: maxsize) # vertex_weight_mapping\n vertex_parent_mapping: Dict[Vertex[T], Vertex[T]] = dict()\n source_vertex: Vertex[T] = graph.get_vertex(source_vertex_data)\n\n vertex_distance_mapping[source_vertex] = 0\n vertex_parent_mapping[source_vertex] = None\n\n # Relax all the edges (V-1)th time.\n # Why (V-1) times? - https://www.youtube.com/watch?v=-mOEd_3gTK0&feature=youtu.be&list=PLrmLmBdmIlpu2f2g8ltqaaCZiq6GJvl1j&t=785\n for i in range(0, len(graph.vertices)-1): # run it (V-1) times... for i=0: i<(V-1); i++\n relax_edges(graph.edges, vertex_distance_mapping, vertex_parent_mapping)\n\n # Relax all the edges for one more time(Vth time) to check if there is any -ve weight cycle present.\n has_negative_weight_cycle: bool = relax_edges(graph.edges, vertex_distance_mapping, vertex_parent_mapping,\n check_negative_weight_cycle=True)\n if has_negative_weight_cycle:\n return has_negative_weight_cycle, dict(), dict()\n\n return has_negative_weight_cycle, vertex_distance_mapping, vertex_parent_mapping","def connecting_graph(self, solution_graph, weight='cost', ignore_sources=False):\n debut = time.time()\n self.logger.info('start connecting graph')\n\n # we need an undirected graph\n undirected_solution_graph = solution_graph.to_undirected()\n\n if self.old_network_graph is not None and self.modify_old_network:\n undirected_solution_graph = nx.compose(nx.MultiGraph(self.old_network_graph), undirected_solution_graph)\n\n # if already connected\n if nx.is_connected(undirected_solution_graph) == True:\n self.logger.info(\"the solution graph is already connected\")\n return []\n\n # Computing the minimum sources in each component and all junction nodes in the solution graph\n nodetype = nx.get_node_attributes(undirected_solution_graph, config.NODE_TYPE_KEY)\n list_sources = [node for node in nodetype if nodetype[node] == config.SUPPLY_NODE_TYPE]\n\n # 1. Search of all connected subgraphs\n if not ignore_sources:\n reduced_list_sources = []\n while len(list_sources) > 0:\n source, is_isolated = list_sources.pop(0), True\n for i in range(len(list_sources)):\n is_isolated = is_isolated and not (nx.has_path(undirected_solution_graph, source, list_sources[i]))\n if is_isolated:\n reduced_list_sources.append(source)\n else:\n reduced_list_sources = [list(n)[0] for n in nx.connected_components(undirected_solution_graph)]\n\n # 2. Creation of all convex hulls for each source in reduced_list_sources\n hulls = {}\n for source in reduced_list_sources:\n coord_compo = {}\n nodes_connecting_source = nx.node_connected_component(undirected_solution_graph, source)\n for node in nodes_connecting_source:\n xy = tuple(self.optimization_graph.get_node_coordinates(node))\n coord_compo[xy] = node\n if len(coord_compo) > 2:\n convexhull = ConvexHull(list(coord_compo.keys())).points\n else:\n convexhull = list(coord_compo.keys())\n hulls[source] = [coord_compo[tuple(coord)] for coord in convexhull]\n\n # 3. Create list of possible list_edges_to_add\n list_edges_to_add = {} # list of {(S1, S2):(length_of_SP, edges_to_add)}\n\n for S1, S2 in combinations(reduced_list_sources, 2):\n\n # change weight of edges\n for i in range(len(hulls[S1])-1):\n u,v = hulls[S1][i], hulls[S1][i+1]\n self.optimization_graph.add_edge(u,v,key=-1,weight=0)\n self.optimization_graph.add_edge(hulls[S1][-1],hulls[S1][0],key=-1,weight=0)\n for i in range(len(hulls[S2])-1):\n u,v = hulls[S2][i], hulls[S2][i+1]\n self.optimization_graph.add_edge(u,v,key=-1,weight=0)\n self.optimization_graph.add_edge(hulls[S2][-1],hulls[S2][0],key=-1,weight=0)\n\n # find the shortest path\n source, target = hulls[S1][0], hulls[S2][0] # it's a choice to take 0, but no matter\n try:\n length, path = nx.single_source_dijkstra(self.optimization_graph, source, target=target, weight=weight)\n except nx.NetworkXNoPath:\n self.logger.info(\"Source \" + str(S1) + \" and source \" + str(S2) + \" can't be connected\")\n return []\n list_weights = nx.get_edge_attributes(self.optimization_graph, weight)\n\n # edges to add to connect S1 and S2\n edges_to_add = []\n for i in range(len(path) - 1):\n u, v = path[i], path[i + 1]\n # if the edge between (u,v) is not artificial, we add it\n if list_weights.get((u, v, -1), None) != 0 and list_weights.get((u, v, 0), None) is not None:\n edges_to_add.append((u, v, 0))\n if list_weights.get((v, u, -1), None) != 0 and list_weights.get((v, u, 0), None) is not None:\n edges_to_add.append((v, u, 0))\n list_edges_to_add[(S1, S2)] = (length, edges_to_add)\n\n # change weight of edges\n for i in range(len(hulls[S1])-1):\n u,v = hulls[S1][i], hulls[S1][i+1]\n self.optimization_graph.remove_edge(u,v,key=-1)\n self.optimization_graph.remove_edge(hulls[S1][-1],hulls[S1][0],key=-1)\n for i in range(len(hulls[S2])-1):\n u,v = hulls[S2][i], hulls[S2][i+1]\n self.optimization_graph.remove_edge(u,v,key=-1)\n self.optimization_graph.remove_edge(hulls[S2][-1],hulls[S2][0],key=-1)\n\n\n # 4. choice of best edges to add (Kruskal)\n G = nx.Graph()\n for (S1, S2) in list_edges_to_add:\n (length, _) = list_edges_to_add[(S1, S2)]\n if not G.has_node(S1):\n G.add_node(S1)\n if not G.has_node(S2):\n G.add_node(S2)\n G.add_edge(S1, S2, weight=length)\n\n reduced_list_edges_to_add = set()\n T = nx.minimum_spanning_tree(G)\n for u, v in T.edges:\n if (u, v) in list_edges_to_add:\n reduced_list_edges_to_add = reduced_list_edges_to_add.union(set(list_edges_to_add[(u, v)][1]))\n if (v, u) in list_edges_to_add:\n reduced_list_edges_to_add = reduced_list_edges_to_add.union(set(list_edges_to_add[(v, u)][1]))\n\n self.logger.info('end connecting graph in ' + str(time.time() - debut) + ' s')\n return list(reduced_list_edges_to_add)","def BreadthFirstSearch(graph, source):\r\n \r\n # Dictionary dataInfo will be used to store the information about each vertex. (Ancestors, descendants, distance from source, and color)\r\n dataInfo = {} \r\n \r\n # List queue will be used to store the vertices currently in the queue, these vertices will all be gray.\r\n queue = []\r\n \r\n # Loops through the vertices in the graph, creates a key in the dictionary for each vertice, with default values.\r\n for vertex in graph[\"V\"]:\r\n dataInfo[str(vertex)] = {\"ancestor\": \"\", \"descendants\": [], \"distance\": \"\", \"color\": \"white\"}\r\n \r\n # At key source (variable) in dataInfo dictionary, key ancestor is set to have no value other than \"NA\" (as it is the starting point), and distance to 0 (as it will always be zero as it is the source).\r\n dataInfo[str(source)][\"ancestor\"] = \"NA\"\r\n dataInfo[str(source)][\"distance\"] = 0\r\n\r\n def symmetricVertex(edge, otherVertex):\r\n \r\n \"\"\"\r\n Function symmetricVertex takes arguments edge, a list of an edge from the graph dictionary, and otherVertex, an integer that is the other vertex in the edge with the sourceVertex. The function will return the point other than the otherVertex, and will be used to find adjacent vertices relative to the current vertex in the queue. Example: edge ([1, 2]), otherVertex (1), the function will return 2.\r\n \"\"\"\r\n \r\n for num in edge:\r\n if num != otherVertex:\r\n return num\r\n \r\n\r\n def pathFinder(graph, sourceVertex):\r\n \r\n \"\"\"\r\n Function pathFinder takes arguments graph, a dictionary, with the same keys for the edges and the vertices and sourceVertex, an integer. The function will loop through all of the edges in the graph and find adjacent vertices relative to the current sourceVertex. sourceVertex values will be in the queue. The function will edit dictionaries and lists, not return any value.\r\n \"\"\"\r\n \r\n # List removeEdges will be used to store the edges that will be removed from the graph dictionary after the loop ends. Makes the code more efficient, as you don't want to loop through a million vertices every time, now do you?\r\n removeEdges = []\r\n \r\n # Loop through edges in the graph, will be used to find adjacent vertices.\r\n for edge in graph[\"E\"]:\r\n \r\n # If the sourceVertex is in the edge and the edge is not discovered yet, then edit and change values in the main dictionary, dataInfo.\r\n if (sourceVertex in edge) and (dataInfo[str(symmetricVertex(edge, sourceVertex))] != \"gray\"):\r\n otherVertex = symmetricVertex(edge, sourceVertex)\r\n \r\n # Adds variable otherVertex to the descendants of the sourceVertex.\r\n dataInfo[str(sourceVertex)][\"descendants\"].append(otherVertex)\r\n \r\n # Updates key(otherVertex) to correct values. Ancestor is always the sourceVertex, the distance is always the distance of sourceVertex incremented by one, and the color is updated to gray as it is added to the queue.\r\n dataInfo[str(otherVertex)] = {\"ancestor\": sourceVertex, \"descendants\": [], \"distance\": (dataInfo[str(sourceVertex)][\"distance\"] + 1), \"color\": \"gray\"}\r\n \r\n # Edge includes two discovered edges, so it will be removed to stop redundancy. It is added to the removeEdges list.\r\n removeEdges.append(edge)\r\n \r\n # Appends the discovered vertex to the queue.\r\n queue.append(otherVertex)\r\n \r\n # After the loop ends, the edges that contain the source vertex have been exhausted, so the color is updated to black.\r\n dataInfo[str(sourceVertex)][\"color\"] = \"black\" \r\n \r\n # If the sourceVertex is in the queue, it is removed, as all of the edges containing it have been exhausted.\r\n if sourceVertex in queue:\r\n queue.remove(sourceVertex)\r\n \r\n # Loop through the edges in the removeEdges list, each edge will be removed.\r\n for edge in removeEdges:\r\n graph[\"E\"].remove(edge)\r\n \r\n # The function pathFinder is called on the graph and the source vertex, which sets up the queue.\r\n pathFinder(graph, source)\r\n \r\n # While the list queue contains values, the pathFinder function is called on the graph, and the queue value at index 0.\r\n while len(queue) != 0:\r\n pathFinder(graph, queue[0])\r\n \r\n # Loop below is for formatting of the data, makes it easier to read.\r\n for key in dataInfo:\r\n print \"Vertex: \" + key + \", Distance: \" + str(dataInfo[key][\"distance\"]) + \", Ancestor: \" + str(dataInfo[key][\"ancestor\"]) + \", Descendants: \" + str(dataInfo[key][\"descendants\"]) + \", Color: \" + str(dataInfo[key][\"color\"]) + \".\" \r\n \r\n # Returns dictionary dataInfo.\r\n return dataInfo","def shortest_path(self, id1: int, id2: int) -> (float, list):\n\n if id1 == id2:\n return 0, [id1]\n if id1 not in self.dw_graph.nodes or id2 not in self.dw_graph.nodes:\n return math.inf, []\n\n for n in self.dw_graph.get_all_v().values(): # Set all distance to be max value.\n if n.node_id != id1:\n n.distance = sys.maxsize\n n.visited = 0\n path = []\n min_heap=[]\n self.dw_graph.nodes[id1].distance = 0\n heapq.heappush(min_heap,(self.dw_graph.nodes[id1].distance,self.dw_graph.nodes[id1]))\n\n while len(min_heap):\n node = heapq.heappop(min_heap) # pop the smallest item\n current = node[1] # Get node from tuples\n current.visited = 1 # Set the node to visited\n\n for neighbour in self.dw_graph.all_out_edges_of_node(current.node_id).values(): # Get neighbours\n if self.dw_graph.nodes[neighbour.dest].visited == 0: # if we didn't visit this neighbour\n new_dist = current.distance + neighbour.weight # Set new distance\n\n if self.dw_graph.nodes[neighbour.dest].distance > new_dist: # If new distance is smaller , update it.\n self.dw_graph.nodes[neighbour.dest].distance = new_dist\n\n heapq.heappush(min_heap,(self.dw_graph.nodes[neighbour.dest].distance,\n self.dw_graph.nodes[neighbour.dest])) # add to priority queue\n self.dw_graph.nodes[neighbour.dest].parent = current.node_id # Update parent\n\n if self.dw_graph.nodes[id2].distance == sys.maxsize: # if the distance is still max value , can't reach\n return math.inf, []\n\n\n path.append(id2)\n current = self.dw_graph.nodes[id2].parent\n self.dw_graph.nodes[id1].parent=-1\n while current != -1: # Traverse backwards until parent is -1\n path.append(current)\n current = self.dw_graph.nodes[current].parent\n path.reverse()\n return self.dw_graph.nodes[id2].distance, path","def dijkstra_search(graph, initial_node, dest_node):\n return queue_search(graph, initial_node, dest_node, queue.PriorityQueue(), True)","def shortest_path(graph, start, end):\n nodes_to_visit = {start}\n visited_nodes = set()\n # Distance from start to start is 0\n distance_from_start = {start: 0}\n predecessors = {} # Store previous node for shortest route for each node\n\n while nodes_to_visit:\n # Get node with smallest weight\n current = min(\n [(distance_from_start[node], node) for node in nodes_to_visit]\n )[1]\n\n # If the end is reached, quit\n if current == end:\n break\n\n nodes_to_visit.discard(current)\n visited_nodes.add(current)\n\n edges = graph[current]\n unvisited_neighbours = set(edges).difference(visited_nodes)\n for neighbour in unvisited_neighbours:\n neighbour_distance = distance_from_start[current] + \\\n edges[neighbour]\n if neighbour_distance < distance_from_start.get(neighbour,\n float('inf')):\n distance_from_start[neighbour] = neighbour_distance\n predecessors[neighbour] = current\n nodes_to_visit.add(neighbour)\n\n return _deconstruct_path(predecessors, end)","def shortestPath(graph, start, end, maxOutdistance, toPrint = False):\r\n return DFS(graph, start, end, [], None, sys.maxsize, sys.maxsize, 0, maxOutdistance, toPrint)","def shortestpath(graph,start,end,visited=[],distances={},predecessors={}):\r\n # detect if first time through, set current distance to zero\r\n try:\r\n if not visited: \r\n distances[start]=0\r\n # if we've found our end node, find the path to it, and return\r\n if start==end:\r\n path=[]\r\n while end != None:\r\n path.append(end)\r\n end=predecessors.get(end,None)\r\n return distances[start], path[::-1]\r\n # process neighbors as per algorithm, keep track of predecessors\r\n for neighbor in graph[start]:\r\n if neighbor not in visited:\r\n neighbordist = distances.get(neighbor,float(math.inf))\r\n tentativedist = distances[start] + graph[start][neighbor]\r\n if tentativedist < neighbordist:\r\n distances[neighbor] = tentativedist\r\n predecessors[neighbor]=start\r\n # neighbors processed, now mark the current node as visited \r\n visited.append(start)\r\n # finds the closest unvisited node to the start \r\n unvisiteds = dict((k, distances.get(k,float(math.inf))) for k in graph if k not in visited)\r\n closestnode = min(unvisiteds, key=unvisiteds.get)\r\n # now take the closest node and recurse, making it current\r\n except:\r\n pygame.time.delay(700)\r\n SCREEN.fill((0,0,0))\r\n displayText(\"Path Not Found\",400,200)\r\n displayText(\"Try Again....!!\",400,240)\r\n pygame.display.update()\r\n pygame.time.delay(1500)\r\n pygame.quit()\r\n sys.exit() \r\n return shortestpath(graph,closestnode,end,visited,distances,predecessors)","def shortest_path(self, start_node_id, end_node_id):\n # convert to lowercase \n start_node_id = start_node_id.lower()\n end_node_id = end_node_id.lower()\n\n # validate whether both node id exist \n start_node = None\n end_node = None\n \n # for loop to convert id to obj --> can be used for passing param in dijkstra method\n for x in self.__node:\n if x.getId() == start_node_id:\n start_node = x\n if x.getId() == end_node_id:\n end_node = x\n \n #validate if the id exists\n if start_node == None or end_node == None:\n print(\"The ID does not exist\")\n return\n\n # execute dikstra method\n self.__dikjstra(start_node)\n\n output_node = [end_node.getId()]\n temp_end_node = end_node # to be used to display shortest distance from start node\n\n while end_node.getId() != start_node.getId():\n end_node = end_node.getPrevNode()\n if end_node == None:\n break\n output_node.insert(0,end_node.getId())\n\n #if first element of otput_node is not the start node id, display error, other wise, display the \n if output_node[0] != start_node_id:\n print(\"Error. No path between vertex \"+start_node_id+\" and vertex \"+end_node_id)\n return \n \n # shortest path \n print(\"Shortest Path: \")\n \n for node in output_node:\n if node == end_node_id:\n print(node, end=\"\")\n break \n\n print(node+' -> ', end=\"\")\n \n # shortest distance\n print ('\\nShortest distance to '+ temp_end_node.getId() + ' = ' + str(temp_end_node.getShortestDist()) )\n\n #display table\n self.__display_table(start_node)","def Dijkstra(self, start, end):\n # Pour n parcourant noeuds\n # for each node of graph\n walked = {}\n previous = {}\n for key in self.nodes.iterkeys():\n walked[key] = -1 # infinity\n previous[key] = None\n \n #Fin pour\n #début.parcouru = 0\n #pasEncoreVu = noeuds\n walked[start] = 0\n notFoundYet = []\n for key in self.nodes.iterkeys():\n notFoundYet.append(key)\n\n #Tant que pasEncoreVu != liste vide\n # n1 = minimum(pasEncoreVu) // Le nœud dans pasEncoreVu avec parcouru le plus petit\n # pasEncoreVu.enlever(n1)\n while len(notFoundYet) > 0:\n minimalNode = self.nodeAtMinimumDistance(notFoundYet, walked)\n \n # delete minimal from notFoundYet\n tmp = []\n for node in notFoundYet:\n if node != minimalNode: tmp.append(node)\n notFoundYet = tmp\n # Pour n2 parcourant fils(n1) // Les nœuds reliés à n1 par un arc\n # Si n2.parcouru > n1.parcouru + distance(n1, n2) // distance correspond au poids de l'arc reliant n1 et n2\n # n2.parcouru = n1.parcouru + distance(n1, n2)\n # n2.précédent = n1 // Dit que pour aller à n2, il faut passer par n1\n # Fin si\n # Fin pour\n # for each successor of minimal\n for successor in self.nodes[minimalNode]:\n distance = self.distanceBetween(successor, node)\n walkToSucc = walked[successor]\n walkToNode = walked[minimalNode]\n if walkToSucc == -1 or (walkToSucc > (walkToNode + distance)):\n walked[successor] = walkToNode + distance\n previous[successor] = minimalNode\n\n # Here, all nodes are founded\n \n\n\n #Fin tant que\n #chemin = liste vide\n #n = fin\n #Tant que n != début\n path = []\n target = end\n while target != start:\n # chemin.ajouterAvant(n)\n # n = n.précédent\n path = [target] + path\n target = previous[target]\n\n #Fin tant que\n #chemin.ajouterAvant(début)\n path = [start] + path\n #Retourner chemin\n return path","def shortest_path(graph, source, target):\n return shortest_path_recursive(graph, source, target, set())","def shortest_path(self, source, target, via=None, weight='length', bbox=None):\n\n if self._graph_backend == 'networkx':\n return networkx.shortest_path(self._graph, source, target, weight=weight)\n else:\n if isinstance(via, list):\n return self._pgr.get_route(source, target, via_nodes=via, bbox_nodes=bbox)\n else:\n return self._pgr.get_route(source, target)","def _get_paths(G, nodes, edges, target, weight, available_dist, cache={}):\n\n G_succ = G.succ if G.is_directed() else G.adj\n\n output = []\n visited = set(nodes)\n path_info = []\n source = nodes[-1]\n get_weight = _create_weight_func(G, weight)\n\n for neighbor, neighbor_edge in G_succ[source].items():\n\n if neighbor in visited:\n continue\n\n new_available_dist = available_dist - get_weight(source, neighbor)\n\n if new_available_dist < 0:\n continue\n\n # shortest path key for cache\n sp_key = (source, neighbor, target)\n\n if sp_key not in cache:\n sp = dijkstra(G, neighbor, target, 'length', set([source]), \n new_available_dist)\n\n cache[sp_key] = INF if not sp else sp[1]\n\n if new_available_dist < cache[sp_key]:\n continue\n\n path_info.append((neighbor, neighbor_edge, new_available_dist))\n\n\n for (neighbor, neighbor_edge, new_available_dist) in path_info:\n new_path = nodes + [neighbor]\n new_edges = edges + [neighbor_edge]\n\n if neighbor == target:\n output.append((new_path, new_edges))\n else:\n output.extend(_get_paths(G, new_path, new_edges, target, \n weight, new_available_dist, cache))\n\n return output","def build_shortest_path(self):\n # Explore paths until all nodes have been visited\n while self.nodes_heap:\n # Grab min distance node\n current_node = heappop(self.nodes_heap)\n # Grab each valid neighbor and update distance if shorter path is found\n for node_label, edge_weight in enumerate(current_node.edges):\n if edge_weight and node_label in self.nodes_heap:\n neighbor = self.nodes_heap[self.nodes_heap.index(node_label)]\n if neighbor.distance > (current_node.distance + edge_weight):\n neighbor.distance = current_node.distance + edge_weight\n neighbor.previous = current_node\n # Make sure our min heap invariant is met before continuing\n heapify(self.nodes_heap)","def node_at_distance(G, i, k, x, weight, new_node):\n\n paths = None\n try:\n path = nx.shortest_path(G, i, k)\n except:\n print(\"warning A\")\n G.add_edge(i, k, weight=weight)\n path = nx.shortest_path(G, i, k)\n\n wtold = 0\n wt = 0\n for it in range(1, len(path)):\n wtold = wt\n wt += G[path[it - 1]][path[it]][\"weight\"]\n if wt == x:\n return path[it]\n elif wt > x:\n print(path, \"path\", path[it - 1], path[it], \"weight\", G[path[it - 1]][path[it]][\"weight\"], \"new_node\", new_node)\n\n print(\"a add_edge (%s,%s):%s\" % (path[it - 1], new_node, x - wtold))\n G.add_edge(path[it - 1], new_node, weight=x - wtold)\n\n print(\"b add_edge (%s,%s):%s\" % (new_node, path[it], wt - x))\n G.add_edge(new_node, path[it], weight=wt - x)\n\n print(\"c remove_edge (%s,%s)\" % (path[it - 1], path[it]))\n G.remove_edge(path[it - 1], path[it])\n\n return new_node\n\n print(\"return -1\")\n return -1","def shortestPath(G: Matrix,\n sourceNode: int,\n **kwargs: Dict[str, VALID_INPUT_TYPES]):\n\n params_dict = {'G': G, 'sourceNode': sourceNode}\n params_dict.update(kwargs)\n return Matrix(G.sds_context,\n 'shortestPath',\n named_input_nodes=params_dict)","def main():\n # create graph\n city = create_city()\n\n # create costs cities\n costs = create_costs()\n\n # create min path to city\n path = create_min_path()\n\n # create list not check city\n list_cities = ['biysk', 'barnaul', 'novosibirsk', 'belokurikha',\n 'tomsk', 'krasnoyarsk', 'omsk']\n\n used_city = list_cities.pop(0) # Сity that we processing\n while list_cities:\n used_costs = costs[used_city] # Cost of the current city\n used_path = path[used_city]\n for neighbor in city[used_city]:\n costs_neighbor = costs[neighbor]\n path_to_neighbor = city[used_city][neighbor]\n\n # If path on current node less then rewrite the neighbor node\n if used_costs + path_to_neighbor < costs_neighbor:\n costs[neighbor] = used_costs + path_to_neighbor\n path[neighbor] = used_path + [neighbor]\n\n # Finding the min path to the neighbor\n min_path = min(city[used_city].values())\n # Entry in used_city the city with min path to it\n used_city = find_city(city, used_city, min_path)\n # Deleting city from the uninitiated cities\n list_cities.remove(used_city)\n\n for city, value in costs.items():\n print(f'{city:13} {value:2}', end=\" \")\n print(*path[city], sep=\", \")","def findFirstShortestPath(self, source, dest):\n\n # Used to initialize or reinitialize the algorithm\n # Computes the shortest path via Dijsktra\n\n self.kPath = None\n self.pathHeap = []\n self.pathList = []\n self.source = source\n self.dest = dest\n\n # Compute the shortest path\n # nodeList = nx.dijkstra_path(self.g, source, dest, self.wt)\n\n alg = ModifiedDijkstra(self.g, self.wt)\n nodeList = alg.getPath(source, dest, as_nodes=True)\n if len(nodeList) == 0:\n return None\n deletedLinks = set()\n self.kPath = WeightedPath(nodeList, deletedLinks, self.g, wt=self.wt,\n cap=self.cap)\n self.kPath.dNode = source\n self.pathList.append(self.kPath)\n return self.kPath","def get_shortest(args_array):\n\n node, G, paths_list = args_array\n shortest_score = float(\"inf\")\n path = None\n for pred in G.predecessors(node):\n try:\n path_len,shortest_path = nx.bidirectional_dijkstra(G, node, pred, weight='cost')\n if path_len < shortest_score:\n path = shortest_path\n shortest_score = path_len\n except nx.exception.NetworkXNoPath:\n continue\n if path is not None: paths_list.append(path)\n # done","def dijkstra(start: Vector2D, goal: Vector2D, grid: Scene, *args) -> (list, list):\n\n frontier = PriorityQueue() # nodes to be explored\n\n prev_node = dict() # maps n to node that precedes it in cheapest currently-known path from start to n\n cost_so_far = dict() # maps n to cost of cheapest currently-known path from start to n\n explored = [] # keeps track of previously explored nodes, to be drawn later\n\n current_cost = 0\n\n frontier.put(start, current_cost)\n prev_node[start] = None\n cost_so_far[start] = current_cost\n\n while not frontier.empty():\n current = frontier.get()\n\n if current == goal: # solution found!\n return (reconstruct_path(goal, prev_node), explored)\n\n explored.append(current)\n\n for neighbor in grid.get_unexplored_neighbors(current):\n path_cost = cost_so_far[current] + grid.cost(neighbor) # cost of path to 'neighbor' going through 'current'\n\n if (neighbor not in cost_so_far) or (path_cost < cost_so_far[neighbor]): # if this path reaches node 'neighbor' faster than some previous path\n cost_so_far[neighbor] = path_cost\n \n frontier.put(neighbor, path_cost) # 'expected_cost' is used as a tie breaker to reduce paths to explore\n prev_node[neighbor] = current\n\n # If frontier empty but goal was never reached, no solution was found\n return ([], explored)","def dijkstra(G, s, t, heap_type):\n n = len(G.V)\n d = {} #temporary distance function\n scanned = set()\n p = {} #Optimal path\n # Initialize distances to Infinity\n for v in G.V:\n if v == s: \n d[v] = 0\n p[s] = s\n else:\n d[v] = float('inf')\n p[v] = None \n labelled = make_heap(heap_type)\n nodes = {}\n for v in G.V:\n nodes[v] = labelled.make_node(d[v])\n labelled.insert(nodes[s])\n while len(scanned) < n: \n min_node = labelled.delete_min()\n if min_node is None:\n break\n for vertex in nodes:\n if nodes[vertex] == min_node:\n u = vertex\n break\n for w in G.adj[u]: \n if w not in scanned:\n e = (u,w)\n if d[u] + G.W[e] < d[w]:\n d[w] = d[u] + G.W[e]\n p[w] = u\n # Check to see if previously inserted\n if nodes[w].value != float('inf'):\n labelled.decrease_key(nodes[w], d[w])\n else:\n nodes[w].value = d[w]\n labelled.insert(nodes[w])\n scanned.add(u)\n path = [t]\n node = t\n\n while node and node != s:\n node = p[node]\n path.append(node)\n path.reverse()\n return d, path","def wsngraph():\n G = nx.Graph()\n G.add_node(1)\n G.add_node(2)\n G.add_node(3)\n G.add_node(4)\n G.add_node(5)\n G.add_node(6)\n G.add_node(7)\n G.add_node(8)\n G.add_node(9)\n G.add_node(10)\n G.add_node(11)\n G.add_node(12)\n G.add_edge(1,3,weight=1)\n G.add_edge(1,2,weight=6)\n G.add_edge(1,12,weight=16)\n G.add_edge(2,11,weight=12)\n G.add_edge(2,6,weight=10)\n G.add_edge(2,5,weight=11)\n G.add_edge(3,4,weight=10)\n G.add_edge(3,7,weight=11)\n G.add_edge(3,8,weight=14)\n G.add_edge(3,9,weight=11)\n G.add_edge(4,7,weight=9)\n G.add_edge(5,6,weight=7)\n G.add_edge(5,9,weight=12)\n G.add_edge(6,9,weight=9)\n G.add_edge(7,10,weight=10)\n G.add_edge(8,10,weight=2)\n G.add_edge(8,11,weight=11)\n G.add_edge(8,9,weight=12)\n G.add_edge(9,11,weight=8)\n G.add_edge(10,12,weight=3)\n G.pos={}\n G.pos[1]=(6,4)\n G.pos[2]=(-1,3.7)\n G.pos[3]=(4.7,3.5)\n G.pos[4]=(5.3,3.2)\n G.pos[5]=(0,3)\n G.pos[6]=(1.4,3.4)\n G.pos[7]=(5,2.6)\n G.pos[8]=(4.7,0)\n G.pos[9]=(1.4,2.4)\n G.pos[10]=(5.2,0.5)\n G.pos[11]=(1.3,0)\n G.pos[12]=(6,2.4)\n elarge=[(u,v) for (u,v,d) in G.edges(data=True) if d['weight'] > 8]\n esmall=[(u,v) for (u,v,d) in G.edges(data=True) if d['weight'] <= 8]\n nx.draw_networkx_nodes(G,G.pos,node_color='w')\n nx.draw_networkx_edges(G,G.pos,elarge,width=3,edge_color='r',alpha=0.3)\n nx.draw_networkx_edges(G,G.pos,esmall,width=1,edge_color='b',alpha=0.3)\n nx.draw_networkx_labels(G,G.pos)\n ax=plt.gca()\n ax.axison = False\n label = {} \n for (u,v) in G.edges():\n d = G.get_edge_data(u,v)\n label[(u,v)]=d['weight']\n edge_label=nx.draw_networkx_edge_labels(G,G.pos,edge_labels=label)\n\n return(G)","def floydWarshall(graph):\n \"\"\" initializing the solution matrix same as input graph matrix\n OR we can say that the initial values of shortest distances\n are based on shortest paths considerting no \n intermedidate vertices \"\"\"\n V = len(graph[0])\n dist = [[elem for elem in line] for line in graph]\n \n \"\"\" Add all vertices one by one to the set of intermediate\n vertices.\n ---> Before start of a iteration, we have shortest distances\n between all pairs of vertices such that the shortest\n distances consider only the vertices in set \n {0, 1, 2, .. k-1} as intermediate vertices.\n ----> After the end of a iteration, vertex no. k is\n added to the set of intermediate vertices and the \n set becomes {0, 1, 2, .. k}\n \"\"\"\n for k in range(V):\n \n # pick all vertices as source one by one\n for i in range(V):\n \n # Pick all vertices as destination for the\n # above picked source\n for j in range(V):\n \n # If vertex k is on the shortest path from \n # i to j, then update the value of dist[i][j]\n dist[i][j] = min(dist[i][j], dist[i][k] + dist[k][j])\n\n for line in dist:\n print line\n\n return dist","def get_path2(self, src, dst, weight):\r\n #shortest_paths = self.awareness.shortest_paths\r\n # Create bandwidth-sensitive datapath graph.\r\n if weight == self.WEIGHT_MODEL['hop']:\r\n graph = self.awareness.graph\r\n return nx.shortest_path(graph,src,dst,method='dijkstra')\r\n\r\n elif weight == self.WEIGHT_MODEL['bw']:\r\n graph = self.monitor.graph\r\n path = nx.shortest_path(graph, src, dst, weight='bandwidth', method='dijkstra')\r\n return path\r\n else:\r\n pass","def find_path(g: Graph, start: str) -> None:\n g.dijkstra(start)","def shortest_path_tree(G,nroot):\n SPT = nx.Graph()\n SPT.pos = G.pos\n for n in G.nodes():\n if n!=nroot:\n p = nx.dijkstra_path(G,nroot,n,True)\n SPT.add_path(p)\n return(SPT)","def bfs_shortest_path(graph, start, end):\n assert not graph.weighted, 'This method will not work for weighted graphs.'\n\n parents = {}\n distances = {start: 0}\n\n queue = deque([start])\n while queue:\n node = queue.popleft()\n for next_node in (graph.adj[node] - distances.keys()):\n parents[next_node] = node\n distances[next_node] = distances[node] + 1\n if next_node == end:\n return backtrace_path(start, end, parents)\n queue.append(next_node)\n\n return None","def get_full_weight_matrix_and_minimal_distances(G,\n sink_nodes,\n use_inverse_distance_as_adjacency = False,\n return_distance_matrix = False,\n ):\n\n nodes = set(list(G.nodes()))\n N = G.number_of_nodes()\n transient_nodes = list(nodes - set(sink_nodes))\n d = dict(nx.all_pairs_dijkstra_path_length(G))\n D = np.zeros((N,N))\n\n for i in range(N-1):\n for j in range(i+1,N):\n D[i,j] = d[i][j]\n D[j,i] = d[j][i]\n\n A = nx.adjacency_matrix(G).toarray()\n A = A.astype(float)\n W = A.copy()\n\n if use_inverse_distance_as_adjacency:\n W[A>0] = 1/A[A>0]\n else:\n W[A>0] = 1\n\n min_distances = D[:,sink_nodes].min(axis=1)\n\n if return_distance_matrix:\n return A, W, min_distances, D\n else:\n return A, W, min_distances","def functionality_1(path_to_txt):\n print(\"you are invoking minimum spanning tree + Dijkstra algorithm\")\n gc = GraphConstructor()\n gc.graph_from_combined_file(path_to_txt)\n vertices, dm = gc.dijkstra_input_vertices_and_distance_matrix()\n source_vertex = 0\n start_time = time.process_time()\n got = Dijkstra_to_find_shortest_distances(source_vertex, vertices, dm)\n print(\"the result of minimum spanning tree + Dijkstra algorithm is:\")\n print(\"[{}]\".format(\", \".join([str(val) for val in got])))\n print(\"the execution takes time: {}\".format(str(time.process_time() - start_time)))","def _dijkstra(G, start, end=None):\n distances = {}\n predecessors = {}\n Q = PriorityDictionary()\n Q[start] = 0\n\n for pt in Q:\n distances[pt] = Q[pt]\n if pt == end: break\n\n for neigh in G[pt]:\n pnLength = distances[pt] + G[pt][neigh]\n if neigh in distances:\n if pnLength < distances[neigh]:\n raise ValueError, \"Dijkstra: found better path to already-final vertex\"\n elif neigh not in Q or pnLength < Q[neigh]:\n Q[neigh] = pnLength\n predecessors[neigh] = pt\n return distances, predecessors","def dijkstra(map):\n width = len(map[0])\n height = len(map)\n\n is_in_tree = [[False for _ in range(width)] for _ in range(height)]\n distance = [[MAXINT for _ in range(width)] for _ in range(height)]\n parent = [[None for _ in range(width)] for _ in range(height)]\n distance[0][0] = 0\n\n # (row, col)!!!!\n curcell = (0, 0)\n next_cell = None\n weight = 0\n best_distance_so_far = MAXINT\n\n while not is_in_tree[curcell[0]][curcell[1]]:\n is_in_tree[curcell[0]][curcell[1]] = True\n neighbors = [\n adj for adj in __get_adjacent_4c(curcell, height, width) if map[adj[0]][adj[1]] != 1\n ]\n\n for n in neighbors:\n cand_distance = distance[curcell[0]][curcell[1]] + 1\n if distance[n[0]][n[1]] > cand_distance:\n distance[n[0]][n[1]] = cand_distance\n parent[n[0]][n[1]] = curcell\n\n # Find the closest non-tree node---at least one would've been \"relaxed\"\n # by the loop above. Could be improved by a priority queue.\n best_distance_so_far = MAXINT\n for row in range(height):\n for col in range(width):\n node_dist = distance[row][col]\n if not is_in_tree[row][col] and best_distance_so_far > node_dist:\n best_distance_so_far = node_dist\n curcell = (row, col)\n\n return distance[height - 1][width - 1] + 1","def pathFinder(graph, sourceVertex):\r\n \r\n # List removeEdges will be used to store the edges that will be removed from the graph dictionary after the loop ends. Makes the code more efficient, as you don't want to loop through a million vertices every time, now do you?\r\n removeEdges = []\r\n \r\n # Loop through edges in the graph, will be used to find adjacent vertices.\r\n for edge in graph[\"E\"]:\r\n \r\n # If the sourceVertex is in the edge and the edge is not discovered yet, then edit and change values in the main dictionary, dataInfo.\r\n if (sourceVertex in edge) and (dataInfo[str(symmetricVertex(edge, sourceVertex))] != \"gray\"):\r\n otherVertex = symmetricVertex(edge, sourceVertex)\r\n \r\n # Adds variable otherVertex to the descendants of the sourceVertex.\r\n dataInfo[str(sourceVertex)][\"descendants\"].append(otherVertex)\r\n \r\n # Updates key(otherVertex) to correct values. Ancestor is always the sourceVertex, the distance is always the distance of sourceVertex incremented by one, and the color is updated to gray as it is added to the queue.\r\n dataInfo[str(otherVertex)] = {\"ancestor\": sourceVertex, \"descendants\": [], \"distance\": (dataInfo[str(sourceVertex)][\"distance\"] + 1), \"color\": \"gray\"}\r\n \r\n # Edge includes two discovered edges, so it will be removed to stop redundancy. It is added to the removeEdges list.\r\n removeEdges.append(edge)\r\n \r\n # Appends the discovered vertex to the queue.\r\n queue.append(otherVertex)\r\n \r\n # After the loop ends, the edges that contain the source vertex have been exhausted, so the color is updated to black.\r\n dataInfo[str(sourceVertex)][\"color\"] = \"black\" \r\n \r\n # If the sourceVertex is in the queue, it is removed, as all of the edges containing it have been exhausted.\r\n if sourceVertex in queue:\r\n queue.remove(sourceVertex)\r\n \r\n # Loop through the edges in the removeEdges list, each edge will be removed.\r\n for edge in removeEdges:\r\n graph[\"E\"].remove(edge)","def shortestPath(G, start, end):\n\n D, P = Dijkstra(G, start)\n print(D)\n print(P)\n Path = []\n while 1:\n Path.append(end)\n if end == start: break\n end = P[end]\n Path.reverse()\n return Path","def lazy_dijkstra(g, n, s):\n vis = [0] * n\n prev = [None] * n\n dist = [inf] * n\n dist[0] = 0\n\n pq = PriorityQueue()\n # 2nd entry in tuple is the node index\n pq.put((0, s))\n\n while pq.qsize() != 0:\n minValue, index = pq.get()\n vis[index] = 1\n # Optimization to ignore stale (dist, index) pairs\n if dist[index] < minValue:\n continue\n for edge in g[index]:\n # if we have visited that vertex then don't relax the edge\n if vis[edge.to]:\n continue\n newDist = dist[index] + edge.cost\n # update if we find a better solution\n if newDist < dist[edge.to]:\n prev[edge.to] = index\n dist[edge.to] = newDist\n pq.put((newDist, edge.to))\n return (dist, prev)","def generate_run_dijkstra(self, game_state, player_state):\r\n \r\n wall_indices = game_state.all_blocks\r\n run_dijkstra = DijkstraMap(12,10,wall_indices) \r\n \r\n for goal in game_state.opponents(player_state.id):\r\n run_dijkstra.add_goal(int(goal[0]), int(goal[1]),0)\r\n run_dijkstra.recalculate_map()\r\n run_dijkstra = -1.2*run_dijkstra\r\n run_dijkstra.recalculate_map(clear=False)\r\n return run_dijkstra","def dijkstra(\n from_node: T,\n expand: typing.Callable[[T], typing.Iterable[typing.Tuple[int, T]]],\n to_node: typing.Optional[T] = None,\n heuristic: typing.Optional[typing.Callable[[T], int]] = None,\n) -> typing.Tuple[typing.Dict[T, int], typing.Dict[T, T]]:\n if heuristic is None:\n heuristic = lambda _: 0\n seen = set() # type: typing.Set[T]\n g_values = {from_node: 0} # type: typing.Dict[T, int]\n parents = {} # type: typing.Dict[T, T]\n\n # (f, g, n)\n todo = [(0 + heuristic(from_node), 0, from_node)] # type: typing.List[typing.Tuple[int, int, T]]\n\n while todo:\n f, g, node = heapq.heappop(todo)\n\n assert node in g_values\n assert g_values[node] <= g\n\n if node in seen:\n continue\n\n assert g_values[node] == g\n if to_node is not None and node == to_node:\n break\n seen.add(node)\n\n for cost, new_node in expand(node):\n new_g = g + cost\n if new_node not in g_values or new_g < g_values[new_node]:\n parents[new_node] = node\n g_values[new_node] = new_g\n heapq.heappush(todo, (new_g + heuristic(new_node), new_g, new_node))\n \n return (g_values, parents)"],"string":"[\n \"def dijkstra(graph, source):\\n\\n if not isinstance(graph, WeightedGraph):\\n raise TypeError('dijkstra_heap(graph, source): graph must be a WeightedGraph object')\\n if source not in graph.Keys:\\n raise ValueError('dijkstra_heap(graph, source): source must be a key of the graph but {} is not a key of the graph'.format(source))\\n \\n # initialize framework\\n init_sssp(graph)\\n graph.Dictionary[source].distance = 0\\n\\n H = prepare_heap(graph, vertice_order)\\n\\n while not H.is_empty():\\n vertice_min = H.remove_min()\\n for _, vertice, weight in vertice_min.adj_list:\\n relax(H, vertice_min, graph.Dictionary[vertice], weight)\",\n \"def dijkstra(self,start):\\n path_weight = {i : float('inf') for i in range(self.n)}\\n path_weight[start] = 0\\n previous = {i : float('nan') for i in range(self.n)}\\n remaining = PriorityQueue()\\n for node,priority in path_weight.items():\\n remaining.put((priority,node))\\n\\n while not remaining.empty():\\n priority,node = remaining.get()\\n for tgt,weight in self.edges[node].items():\\n possibleNewWeight = path_weight[node] + weight\\n if (possibleNewWeight < path_weight[tgt]):\\n path_weight[tgt] = possibleNewWeight\\n previous[tgt] = node\\n \\n return path_weight, previous\",\n \"def djikstra(self, source, target):\\r\\n dist = {}\\r\\n prev = {}\\r\\n set_q = {}\\r\\n for vertex in self.vertices.keys():\\r\\n dist[vertex] = sys.maxsize\\r\\n prev[vertex] = None\\r\\n set_q[vertex] = dist[vertex]\\r\\n dist[source] = 0\\r\\n set_q[source] = 0\\r\\n while set_q:\\r\\n vertex_u = min(set_q, key=set_q.get)\\r\\n if vertex_u == target:\\r\\n break\\r\\n set_q.pop(vertex_u)\\r\\n for edge in self.edges[vertex_u]:\\r\\n alt = dist[vertex_u] + edge.distance\\r\\n if alt < dist[edge.destination]:\\r\\n dist[edge.destination] = alt\\r\\n set_q[edge.destination] = dist[edge.destination]\\r\\n prev[edge.destination] = vertex_u\\r\\n path = []\\r\\n vertex_u = target\\r\\n while prev[vertex_u]:\\r\\n path.insert(0, vertex_u)\\r\\n vertex_u = prev[vertex_u]\\r\\n path.insert(0, vertex_u)\\r\\n return path\",\n \"def djikstra(nodes,links,source,dest):\\n route = []\\n vertexes = []\\n for v in nodes:\\n v.set_dist(float(\\\"inf\\\"))\\n v.set_prev(None)\\n heappush(vertexes, v)\\n source.set_dist(0)\\n heapify(vertexes)\\n while vertexes:\\n unsorted = False\\n u = heappop(vertexes)\\n if u == dest:\\n break #because we found the destination no need to look further\\n for v in u.get_links():\\n if v.get_enabled():\\n alt = u.get_dist() + 1\\n target = v.get_target()\\n if alt < target.get_dist():\\n target.set_dist(alt)\\n target.set_prev(u)\\n unsorted = True #just a variable that help check if changes were made to the objects inside the heap\\n if unsorted: #because i updated the variables but the heap wasn't maintained, i just heapify it again\\n heapify(vertexes) \\n #this is the part that saves the distance and route \\n if dest.get_dist() == float(\\\"inf\\\"): #if there is no route then we just return None\\n return None\\n u = dest\\n while u.get_prev() != None:\\n v = u.get_prev()\\n route.insert(0, v.get_specific_link(u)) \\n u = v\\n return route\",\n \"def __dikjstra(self, start_node):\\n visited = []\\n unvisited = [x for x in self.__node]\\n shortest_dist_from_start_node = 0\\n current_node = start_node\\n\\n current_node.setShortestDist(shortest_dist_from_start_node)\\n\\n while current_node:\\n #check unvisited neighbor\\n for neighbor_node, distance in current_node.getNeighbors().items():\\n #print(neighbor_node.getId(), distance) troubleshoot je ni\\n if neighbor_node in visited:\\n continue\\n\\n #add up shortest_dist_from_start_node with distance from neighbor distance\\n calc_dist = shortest_dist_from_start_node + distance\\n\\n if calc_dist < neighbor_node.getShortestDist():\\n neighbor_node.setShortestDist(calc_dist)\\n neighbor_node.setPrevNode(current_node)\\n\\n # add current node to visited array\\n visited.append(current_node)\\n unvisited.remove(current_node)\\n \\n #update next node and next shortest distance\\n next_shortest_dist_from_start_node = inf\\n next_node = None\\n\\n for unvisited_node in unvisited:\\n if unvisited_node.getShortestDist() < next_shortest_dist_from_start_node:\\n next_shortest_dist_from_start_node = unvisited_node.getShortestDist()\\n next_node = unvisited_node\\n\\n # update current node and shortest distance from start vertex\\n if next_node:\\n current_node = next_node\\n shortest_dist_from_start_node = next_shortest_dist_from_start_node\\n #if there are left over unvisited node\\n else: \\n if unvisited:\\n current_node = unvisited[0]\\n else:\\n current_node = None\",\n \"def dijkstra(graph, start):\\n unvisited = []\\n weight = {}\\n prev = {}\\n time = {}\\n imp = {}\\n cost = {}\\n dist = {}\\n for node in graph.keys():\\n # add all nodes to 'unvisited' with no previous node and a weight of infinity\\n unvisited.append(node)\\n weight[node] = float('inf')\\n time[node] = float('inf')\\n imp[node] = float('inf')\\n cost[node] = float('inf')\\n dist[node] = float('inf')\\n prev[node] = None\\n\\n # set the starting distance to be 0\\n weight[start] = 0\\n time[start] = 0\\n imp[start] = 0\\n cost[start] = 0\\n dist[start] = 0\\n\\n # iterate until no node is left unvisited\\n while len(unvisited) > 0:\\n # get the lowest distance that has not yet been visited\\n curr_node = min(weight.viewkeys() & unvisited, key=weight.get)\\n # mark the node as visited\\n unvisited.remove(curr_node)\\n # iterate through each neighbor of the current node\\n for neighbor in graph[curr_node]:\\n # calculate distance to that node from this node\\n tmp_weight = weight[curr_node] + neighbor[WEIGHT]\\n tmp_time = time[curr_node] + neighbor[TIME]\\n tmp_imp= imp[curr_node] + neighbor[IMP]\\n tmp_cost = cost[curr_node] + neighbor[COST]\\n tmp_dist = dist[curr_node] + neighbor[DISTANCE]\\n # if this distance is less than the one already stored at that node\\n if tmp_weight < weight[neighbor[NEXT_NODE]]:\\n # we store this distance as its distance,\\n weight[neighbor[NEXT_NODE]] = tmp_weight\\n time[neighbor[NEXT_NODE]] = tmp_time\\n imp[neighbor[NEXT_NODE]] = tmp_imp\\n cost[neighbor[NEXT_NODE]] = tmp_cost\\n dist[neighbor[NEXT_NODE]] = tmp_dist\\n # and this node as its previous node\\n prev[neighbor[NEXT_NODE]] = curr_node\\n\\n return weight, prev, time, imp, cost, dist\",\n \"def dijkstra(graph,start,goal):\\n shortest_distance = {}\\n predecessor = {}\\n unseenNodes = graph\\n path = []\\n for node in unseenNodes:\\n shortest_distance[node] = infinity\\n shortest_distance[start] = 0\\n \\n while unseenNodes:\\n minNode = None\\n for node in unseenNodes:\\n if minNode is None:\\n minNode = node\\n elif shortest_distance[node] < shortest_distance[minNode]:\\n minNode = node\\n \\n for childNode, weight in graph[minNode].items():\\n \\n if weight + shortest_distance[minNode] < shortest_distance[childNode]:\\n shortest_distance[childNode] = weight + shortest_distance[minNode]\\n predecessor[childNode] = minNode\\n unseenNodes.pop(minNode)\\n \\n currentNode = goal\\n while currentNode != start:\\n try:\\n path.insert(0,currentNode)\\n currentNode = predecessor[currentNode]\\n except KeyError:\\n print('Path not reachable')\\n break\\n path.insert(0,start)\\n if shortest_distance[goal] != infinity:\\n return path\",\n \"def bidir_dijkstra(graph, source, sink):\\n\\n if source == sink:\\n return 0, []\\n\\n ''' Use two graphs: graph_1 is the same as the one passed to the function, graph_2 is obtained from graph_1\\n by flipping the orientation of every edge, and maintaining the same distances (weights). '''\\n graph_1 = graph\\n graph_2 = make_reverse_graph(graph)\\n\\n ''' Set of vertices yet to be processed, each with the current estimate of its shortest distance from the\\n source of its graph. Note that graph_2 source is graph_1 sink, and graph_2 sink is graph_1 source.'''\\n pending_1 = SortedSet([(0, source)])\\n pending_2 = SortedSet([(0, sink)])\\n\\n ''' Associate each vertex with the current estimate of its shortest distance from the source in its graph.\\n This information is redundant, as it is also contained in pending_1 and pending_2; however, having it in maps\\n like these allows to look it up in constant time. Consequently, d_1 must be kept consistent with pending_1,\\n and d_2 with pending_2: when updating the estimate for a given vertex, it must be updated in both the SortedSet\\n and the map.'''\\n d_1 = {source: 0}\\n d_2 = {sink: 0}\\n\\n ''' Set of vertices already processed. Which implies, their estimate of shortest distance from the source is\\n the exact measurement.'''\\n processed_1 = set()\\n processed_2 = set()\\n\\n ''' Will store information useful to backtrack the shortest path to source/sink.'''\\n pred_1 = {source: None}\\n pred_2 = {sink: None}\\n\\n shortest_path_found = False\\n shortest_so_far = float('inf')\\n ''' (best_vertex1, best_vertex2) will be the edge, along the shortest path, that joins the two sub-paths grown out\\n of source and sink.'''\\n best_vertex1, best_vertex2 = None, None\\n counter_at_shortest_path = None\\n step_counter = -1\\n while not shortest_path_found:\\n step_counter += 1\\n # Do one step of Dijkstra in graph_1\\n if not pending_1: # No more vertices up for processing now implies you can't reach sink from source.\\n return -1, []\\n d_f1, vertex1 = pending_1.pop(0) # Pop the minimum.\\n assert d_f1 == d_1[vertex1] # Check the invariant (pending_1 and d_1 must be consistent)\\n processed_1.add(vertex1)\\n # TODO if d_f1>shortest_so_far then could I skip the rest of processing of vertex1?\\n # Add vertices adjacent to vertex1, that have not been processed, to the pending vertices (unless already there)\\n for vertex2 in graph_1.adj[vertex1]:\\n if d_1.get(vertex2) is None:\\n assert vertex2 not in processed_1\\n d_1[vertex2] = float('inf')\\n pending_1.add((float('inf'), vertex2))\\n ''' Relax all edges outgoing from vertex1 whose other end-point hasn't been processed yet, and check if any\\n of them potentially belongs to a shortest path from source to sink '''\\n for vertex2 in graph_1.adj[vertex1]:\\n # Length of the shortest path from the source to vertex2, going through vertex1.\\n d_via_vertex1 = d_f1 + graph_1.edges[vertex1, vertex2]['weight']\\n # Relax edge (vertex1, vertex2)\\n if vertex2 not in processed_1:\\n d_f2 = d_1[vertex2]\\n if d_via_vertex1 < d_f2:\\n d_1[vertex2] = d_via_vertex1\\n pending_1.remove((d_f2, vertex2))\\n pending_1.add((d_via_vertex1, vertex2))\\n pred_1[vertex2] = vertex1\\n ''' If vertex2 has already been processed backward, then you have found a path\\n from source to sink; update information on the shortest path found so far as necessary. '''\\n if vertex2 in processed_2:\\n length = d_via_vertex1 + d_2[vertex2]\\n if length < shortest_so_far:\\n shortest_so_far = length\\n # Edge (best_vertex1, best_vertex2) is on the shortest path found so far from source to sink\\n best_vertex1 = vertex1\\n best_vertex2 = vertex2\\n counter_at_shortest_path = step_counter\\n # Check termination condition.\\n if best_vertex2 is not None and pending_1 and pending_2:\\n l1, _ = pending_1[0]\\n l2, _ = pending_2[0]\\n if l1 + l2 >= shortest_so_far:\\n shortest_path_found = True\\n ''' Trade graph_1 with grap_2 before the next step of Dijkstra: you are alternating one step in graph_1\\n with one step in graph_2. '''\\n if (not shortest_path_found):\\n graph_1, graph_2 = graph_2, graph_1\\n pending_1, pending_2 = pending_2, pending_1\\n d_1, d_2 = d_2, d_1\\n processed_1, processed_2 = processed_2, processed_1\\n pred_1, pred_2 = pred_2, pred_1\\n\\n # A shortest path from source to sink was found, and it must go through best_vertex1 and best_vertex2\\n assert best_vertex1 is not None\\n assert best_vertex2 is not None\\n\\n ''' Stitch together the shortest path as \\n source -> ... -> vertex1 -> best_vertex2 -> ... -> sink'''\\n\\n def backtrack_path(from_vertex, pred):\\n path = [from_vertex]\\n previous = pred[from_vertex]\\n while previous is not None:\\n path.append(previous)\\n previous = pred[previous]\\n return path\\n\\n if step_counter % 2 == counter_at_shortest_path % 2:\\n sub_path_1 = backtrack_path(best_vertex1, pred_1)\\n sub_path_2 = backtrack_path(best_vertex2, pred_2)\\n else:\\n sub_path_1 = backtrack_path(best_vertex2, pred_1)\\n sub_path_2 = backtrack_path(best_vertex1, pred_2)\\n shortest_path = sub_path_1[::-1] + sub_path_2\\n if step_counter % 2 == 1:\\n shortest_path = shortest_path[::-1]\\n\\n distance = d_1[best_vertex2] + d_2[best_vertex2]\\n assert distance == shortest_so_far\\n\\n return distance, shortest_path\",\n \"def dykstra(self,origin):\\n G = nx.Graph()\\n G.add_node(origin,shortest_path = 0)\\n active_nodes = [origin]\\n\\n while len(active_nodes) > 0:\\n a_n = active_nodes.pop() # active node\\n\\n for n in self.neighbors.get(a_n,[]): #catch no neighbor exception\\n d = self.difference(n, origin)**4 # increase cost of extra distance\\n this_path = G.node[a_n]['shortest_path'] + d\\n\\n if this_path < self.epsilon:\\n if n in G.node: # seen this node before\\n if this_path < G.node[n]['shortest_path']: # if this path is better than previous best path\\n G.node[n]['shortest_path'] = this_path\\n G.add_edge(a_n,n) # add edge just because\\n continue\\n\\n G.add_node(n,shortest_path = this_path) # if this is new, add it to graph\\n G.add_edge(a_n,n) # add edge just because\\n active_nodes.append(n) # add new active node\\n return G\",\n \"def dijkstra_generalized(graph, source, weight='weight'):\\n # Removed min=None\\n import math\\n\\n # Definitions consistent with Kurose & Ross\\n u = source\\n\\n def c(x, y):\\n return graph[x][y][weight]\\n\\n N = frozenset(graph.nodes())\\n NPrime = {u} # i.e. \\\"set([u])\\\"\\n D = dict.fromkeys(N, math.inf)\\n P = dict.fromkeys(N, [])\\n\\n # Initialization\\n for v in N:\\n if graph.has_edge(u, v):\\n D[v] = c(u, v)\\n P[v] = [u]\\n D[u] = 0 # over-write inf entry for source\\n\\n # Loop through all nodes\\n while NPrime != N:\\n candidates = {w: D[w] for w in N if w not in NPrime}\\n w, Dw = min(candidates.items(), key=lambda item: item[1])\\n NPrime.add(w)\\n for v in graph[w]:\\n if v not in NPrime:\\n DvNew = D[w] + c(w, v)\\n if DvNew < D[v]:\\n D[v] = DvNew\\n P[v] = [w]\\n\\n return P, D\",\n \"def getPath(\\n self,\\n source,\\n dest,\\n as_nodes=False,\\n ):\\n\\n self.dist = {} # A map from nodes to their labels (float)\\n self.predecessor = {} # A map from a node to a node\\n\\n # Initialize the distance labels to \\\"infinity\\\"\\n\\n vertices = self.g.nodes()\\n for vertex in vertices:\\n self.dist[vertex] = self.inf\\n self.predecessor[vertex] = source\\n\\n # Further set up the distance from the source to itself and\\n # to all one hops away.\\n\\n self.dist[source] = 0.0\\n if self.g.is_directed():\\n outEdges = self.g.out_edges([source])\\n else:\\n outEdges = self.g.edges([source])\\n for edge in outEdges:\\n self.dist[edge[1]] = self.g[edge[0]][edge[1]][self.wt]\\n\\n s = set(vertices)\\n s.remove(source)\\n currentMin = self._findMinNode(s)\\n if currentMin == None:\\n return None\\n s.remove(currentMin)\\n while currentMin != dest and len(s) != 0 and currentMin != None:\\n if self.g.is_directed():\\n outEdges = self.g.out_edges([currentMin])\\n else:\\n outEdges = self.g.edges([currentMin])\\n for edge in outEdges:\\n opposite = edge[1]\\n if self.dist[currentMin] + self.g[edge[0]][edge[1]][self.wt] \\\\\\n < self.dist[opposite]:\\n self.dist[opposite] = self.dist[currentMin] \\\\\\n + self.g[edge[0]][edge[1]][self.wt]\\n self.predecessor[opposite] = currentMin\\n s.add(opposite)\\n\\n currentMin = self._findMinNode(s)\\n\\n # print \\\"Current min node {}, s = {}\\\".format(currentMin, s)\\n\\n if currentMin == None:\\n return None\\n s.remove(currentMin)\\n\\n # Compute the path as a list of edges\\n\\n currentNode = dest\\n predNode = self.predecessor.get(dest)\\n node_list = [dest]\\n done = False\\n path = []\\n while not done:\\n path.append((predNode, currentNode))\\n currentNode = predNode\\n predNode = self.predecessor[predNode]\\n node_list.append(currentNode)\\n done = currentNode == source\\n node_list.reverse()\\n if as_nodes:\\n return node_list\\n else:\\n return path\",\n \"def dijkstra(G, s):\\n G.init_ss(s)\\n S = [] # Vertices whose final shortest path weight has been determined\\n\\n # In OOP version, 0th element of each list is the Vertex (not ListVertex)\\n V = [G.new_adj[v][0] for v in range(0, len(G.new_adj))] # Add all vertices to queue initially\\n print(V)\\n\\n # Heap uses distance estimates of vertices sa the key for \\\"extract_root\\\"\\n # values: vertices, keys: distance estimates\\n pq = hs.PriorityQueue(V) # Priority Queue/Heap - keyed by `d` distance estimate\\n pq.build_heap(\\\"min\\\") # Applies only to the keys `G.d`\\n # pq.print_heap() # 1-indexed\\n # pq.print_heap_idx() # 1-indexed\\n \\n while pq.heap_size is not 0:\\n u = pq.extract_root(\\\"min\\\") # Min-heap Extract-Min with lowest distance estimate\\n # print(f\\\"u: {u.u}, min_d: {u.d}\\\")\\n # print(f\\\"G.d[u]: {G.d[u]}\\\")\\n S.append(u.u)\\n # print(f\\\"---------{S}---------\\\")\\n for v_idx in range(1, len(G.new_adj[u.u])): # Begin at 1 since our Vertex `u` is at idx 0 in the same list as ListVertices `v`\\n # print(G.new_adj[u.u][v_idx])\\n G.relax(u.u, G.new_adj[u.u][v_idx].v) # w array is contained with the Graph class\\n\\n return\",\n \"def dijkstra(adj_matrix, source_node):\\n # init shortest paths table and unvisited table\\n N = len(adj_matrix)\\n shortest_paths = init_shortest_paths(N, source_node)\\n\\n visited = [False] * N\\n\\n # while there are still unvisited nodes\\n while False in visited:\\n curr_node = get_next_unvisited(visited, shortest_paths)\\n curr_dist = shortest_paths[curr_node][0]\\n neighbors = get_neighbors(adj_matrix, curr_node)\\n # for each neighbor\\n\\n for n in neighbors:\\n edge_weight = adj_matrix[curr_node][n]\\n # if the curr_dist + weight is less than what's\\n # already in the shortest path entries for that neighbor\\n # then update the shortest path entry value\\n curr_entry = shortest_paths[n][0]\\n if curr_dist + edge_weight < curr_entry:\\n shortest_paths[n] = (curr_dist + edge_weight, curr_node)\\n visited[curr_node] = True\\n\\n return shortest_paths\",\n \"def bidir_dijkstra2(graph, source, sink):\\n\\n if source == sink:\\n return 0, []\\n\\n ''' Use two graphs: graph_1 is the same as the one passed to the function, graph_2 is obtained from graph_1\\n by flipping the orientation of every edge, and maintaining the same distances (weights). '''\\n graph_1 = graph\\n graph_2 = make_reverse_graph(graph)\\n\\n ''' Set of vertices yet to be processed, each with the current estimate of its shortest distance from the\\n source of its graph. Note that graph_2 source is graph_1 sink, and graph_2 sink is graph_1 source.'''\\n pending_1 = SortedSet([(float('inf'), v) for v in graph_1.nodes if v != source])\\n pending_1.add((0, source))\\n pending_2 = SortedSet([(float('inf'), v) for v in graph_2.nodes if v != sink])\\n pending_2.add((0, sink))\\n\\n ''' Associate each vertex with the current estimate of its shortest distance from the source in its graph.\\n This information is redundant, as it is also contained in pending_1 and pending_2; however, having it in maps\\n like these allows to look it up in constant time. Consequently, d_1 must be kept consistent with pending_1,\\n and d_2 with pending_2: when updating the estimate for a given vertex, it must be updated in both the SortedSet\\n and the map.'''\\n d_1 = {v: 0 if v == source else float('inf') for v in graph_1.nodes}\\n d_2 = {v: 0 if v == sink else float('inf') for v in graph_2.nodes}\\n\\n ''' Set of vertices already processed. Which implies, their estimate of shortest distance from the source is\\n the exact measurement.'''\\n processed_1 = set()\\n processed_2 = set()\\n\\n ''' Will store information useful to backtrack the shortest path to source/sink.'''\\n pred_1 = {source: None}\\n pred_2 = {sink: None}\\n\\n def process(v1):\\n for v2 in graph_1.adj[v1]:\\n if v2 in processed_1:\\n assert ((d_1[v2], v2)) not in pending_1\\n continue\\n d_to_v2_via_v1 = d_1[v1] + graph_1.edges[v1, v2]['weight']\\n if d_to_v2_via_v1 < d_1[v2]:\\n pending_1.remove((d_1[v2], v2))\\n pending_1.add((d_to_v2_via_v1, v2))\\n d_1[v2] = d_to_v2_via_v1\\n pred_1[v2] = v1\\n # TODO If v2 is in processed_2, and d_1[v2]+d2[v2] <= pending_1[0][0]+pending_2[0][0], could we stop here?\\n\\n estimate = float('inf')\\n while pending_1 or pending_2:\\n d, v1 = pending_1.pop(0)\\n assert d == d_1[v1]\\n if d <= estimate:\\n processed_1.add(v1)\\n process(v1)\\n if v1 in processed_2 and d + d_2[v1] < estimate:\\n estimate = d + d_2[v1]\\n # Trade graph_1 with graph_2, unless this was the last iteration\\n if pending_1 or pending_2:\\n graph_1, graph_2 = graph_2, graph_1\\n pending_1, pending_2 = pending_2, pending_1\\n d_1, d_2 = d_2, d_1\\n processed_1, processed_2 = processed_2, processed_1\\n pred_1, pred_2 = pred_2, pred_1\\n\\n return estimate if estimate < float('inf') else -1, []\",\n \"def dijkstra(self, source=None, destination=None):\\n for vertex in self.vertices():\\n vertex.d = sys.maxint\\n if not source:\\n source = self.vertices()[0]\\n q = simply_python.data_structures.FIFO_dict()\\n source.d = 0\\n q.append(source)\\n while not q.isempty():\\n source = q.pop()\\n print source\\n print source.d\\n d = source.d\\n for out_vertex in self.out_vertices(source):\\n if out_vertex.d == sys.maxint:\\n out_vertex.d = d + 1\\n q.append(out_vertex)\\n if out_vertex == destination:\\n return out_vertex.d\\n return d\",\n \"def dijkstra(G, source, target, weight, blacklist=set(), max_dist=INF):\\n\\n G_succ = G.succ if G.is_directed() else G.adj\\n\\n push = heappush\\n pop = heappop\\n\\n # dictionary of optimal path to solved nodes\\n paths = { source: [ source ] }\\n # dictionary of final distances for each solved node\\n dist = {}\\n # track which nodes have been seen and the shortest path distance\\n seen = {}\\n\\n c = count()\\n fringe = []\\n\\n seen[source] = 0.0\\n push(fringe, (0.0, next(c), source))\\n\\n weight = _create_weight_func(G, 'length')\\n\\n while fringe:\\n # this is a priority queue, so will always pop minimum distance\\n d, _, v = pop(fringe)\\n \\n # ignore if node has been visited already OR is blacklisted\\n if v in dist or v in blacklist:\\n continue\\n\\n dist[v] = d\\n #\\n # path found! break\\n if v == target:\\n break\\n\\n # loop through neighbors of v\\n for u, e in G_succ[v].items():\\n vu_cost = dist[v] + weight(u, v)\\n\\n if vu_cost <= max_dist and (u not in seen or vu_cost < seen[u]):\\n seen[u] = vu_cost\\n paths[u] = paths[v] + [u]\\n push(fringe, (vu_cost, next(c), u))\\n\\n if target in paths and target in dist:\\n return paths[target], dist[target]\\n \\n return None\",\n \"def single_dijkstra(graph, start, edge_weight_name):\\r\\n distances = []\\r\\n for x in start:\\r\\n try:\\r\\n value_set = nx.single_source_dijkstra_path_length(graph, source=x, weight=edge_weight_name)\\r\\n except nx.NetworkXNoPath:\\r\\n pass\\r\\n for key in value_set:\\r\\n\\r\\n distances.append([x,key,value_set[key]])\\r\\n return distances\",\n \"def __djikstra(graph, node_name):\\n predecessors = {key: None for key in graph.keys()}\\n distances = {key: inf for key in graph.keys()}\\n distances[node_name] = 0\\n nodes_set = set(graph.values()) # type : Set[Node]\\n while len(nodes_set) != 0:\\n min_node = min(nodes_set, key=lambda x: distances[x.name]) # type: Node\\n nodes_set.remove(min_node)\\n for neighbour in min_node.neighbours:\\n if distances[neighbour.name] > distances[min_node.name] + min_node.distance_vectors[neighbour.name]:\\n distances[neighbour.name] = distances[min_node.name] + min_node.distance_vectors[neighbour.name]\\n predecessors[neighbour.name] = min_node.name\\n nodes_set.add(neighbour)\\n return distances, predecessors\",\n \"def dijkstra(self, src):\\n unvisited = MinHeap() \\n visited = set()\\n dist = []\\n for v_id in range(0, self.v):\\n if v_id != src:\\n dist.append(sys.maxsize)\\n unvisited.insert((sys.maxsize, v_id))\\n else:\\n unvisited.insert((0, src))\\n dist.append(0)\\n while unvisited.queue:\\n min_node = unvisited.extract_min()\\n visited.add(min_node)\\n for nbr,w in self.graph[min_node]:\\n new_dist = w + dist[min_node]\\n if new_dist < dist[nbr]:\\n unvisited.decrease_key((dist[nbr], nbr), new_dist)\\n dist[nbr] = new_dist \\n return dist\",\n \"def dijkstra_shortest_path(graph_object: Graph, start_node: int) -> List[float]:\\n\\n def init_distance(g: Graph, s: int) -> List[float]:\\n d = [inf] * len(g) # type: List[float]\\n d[s] = 0.0\\n return d\\n\\n # Assign a key value to all vertices in the input graph.\\n # Initial value is inf for all but the first one\\n distance = init_distance(graph_object, start_node)\\n priority_queue = MinHeap.build([(i, priority) for i, priority in enumerate(distance)])\\n\\n while priority_queue: # Priority queue has O(V) elements\\n min_index = priority_queue.pop() # O(log(V))\\n for edge in graph_object.graph[min_index]: # A graph has at most 2E Edges in adjacency list, so O(E)\\n source, destination, edge_weight = edge\\n if priority_queue.contains_item(destination) and distance[source] + edge_weight < distance[destination]:\\n distance[destination] = distance[source] + edge_weight\\n priority_queue.push(item=destination, priority=edge_weight) # O(log(V))\\n\\n return distance\",\n \"def framework(graph, source1, source2):\\n\\n if not isinstance(graph, WeightedGraph):\\n raise TypeError('bi_dijkstra(graph, start, destination): graph must be WeightedGraph object')\\n if source1 not in graph.Keys:\\n raise ValueError('bi_dijkstra(graph, source1, source2): source1 must be key of the graph')\\n if source2 not in graph.Keys:\\n raise ValueError('bi_dijkstra(graph, source1, source2): source2 must be key of the graph')\\n\\n build_shortcuts(graph)\\n update_graph(graph)\\n\\n graph_up = graph.Graph_Up()\\n\\n graph_down = graph.Graph_Down()\\n graph_down.Ancestors()\\n\\n init_sssp(graph_up)\\n init_sssp(graph_down)\\n\\n graph_up.Dictionary[source1].distance = 0\\n graph_down.Dictionary[source2].distance = 0\\n\\n H_up = prepare_heap(graph_up, vertice_order)\\n H_down = prepare_heap(graph_down, vertice_order)\\n\\n return graph_up, graph_down, H_up, H_down\",\n \"def dijkstra(graph, initial):\\n \\n visited_nodes = {initial: 0}\\n path = {}\\n\\n nodes = set(graph.nodes)\\n\\n while nodes:\\n closest_node = None\\n for node in nodes:\\n if node in visited_nodes:\\n if closest_node is None:\\n closest_node = node\\n elif visited_nodes[node] < visited_nodes[closest_node]:\\n closest_node = node\\n if closest_node is None:\\n break\\n\\n nodes.remove(closest_node)\\n current_weight = visited_nodes[closest_node]\\n\\n for edge in graph.edges[closest_node]:\\n try:\\n weight = current_weight + graph.costs[(closest_node, edge)]\\n except:\\n continue\\n if edge not in visited_nodes or weight < visited_nodes[edge]:\\n visited_nodes[edge] = weight\\n path[edge] = closest_node\\n\\n return visited_nodes, path\",\n \"def dijkstra(adj, cost, s, t):\\n\\n V = range(len(adj)) # set of nodes, sequentially numbered\\n # Note!!: this is not entirely general - there is no quarantee that\\n # the graph node list is sequentially numbered from 0 to n-1\\n\\n # for all u∈V:\\n # dist[u] ← ∞, prev[u] ← nil\\n # dist[v] will be an upper bound on the actual distance from s to v.\\n dist = [approxInf for u in V] # initialize dist to completely unknown for all u∈V\\n prev = [None for u in V]\\n # visited = [False for u in V] # this is represented as dist[u] = infinite\\n\\n dist[s] = 0 # zero distance to start node\\n\\n\\n # H ← MakeQueue(V ) {dist-values as keys} # this is the Unknown region, not(R)\\n # the set of unknown (unvisited, or not fully visited) vertices\\n H = make_queue(V) #, dist)\\n\\n while len(H) > 0: # H, set of unknown vertices is not empty:\\n # On each iteration we take a vertex outside of R (in H) with the minimal dist-value,\\n # add it to R, and relax all its outgoing edges.\\n u = extract_min(H, dist) # [u, d] = extract_min(H)\\n # Lemma: When a node u is selected via ExtractMin, dist[u] = d(S,u), actual minimum distance.\\n # First node to be extracted will be the source s (since dist[s]==0)\\n # Should we stop early if min node u == t (t is moved to known set R before unknown H is exhausted)?\\n for i in range(len(adj[u])): # for all (u,v) ∈ E: Relax(u,v) # relax all _outgoing_ edges from u\\n # edge relaxation procedure for an edge (u,v) just checks whether\\n # going from s to v through u improves the current value of dist[v].\\n v = adj[u][i] # v in adj[u]\\n if dist[v] > (dist[u] + cost[u][i]): # + w(u,v):\\n dist[v] = dist[u] + cost[u][i] # update the distance\\n prev[v] = u # update the predecessor node\\n # ChangePriority(H , v , dist[v]) # rather than priority queue, update dist and scan array for min dist\\n\\n return dist[t]\",\n \"def bi_dijkstra(graph, source1, source2):\\n\\n graph_up, graph_down, H_up, H_down = framework(graph, source1, source2)\\n\\n found_source2_after = [np.Inf, None]\\n found_source1_after = [np.Inf, None]\\n min_down = None\\n while not H_up.is_empty() or H_down.is_empty():\\n\\n min_up = H_up.remove_min()\\n\\n # if newly extracted node from H_up is equal to destination,end process,\\n # taking into account also previously stored distances and nodes of the \\n # destination found in some adjacent lists\\n if min_up == graph.Dictionary[source2]:\\n\\n return one_way_path(min_up, min_up.distance, found_source2_after, found_source1_after)\\n \\n for passage, vertice, weight in min_up.adj_list:\\n\\n bi_relax(H_up, min_up, graph_up.Dictionary[vertice], weight, passage, graph_up)\\n \\n # if destination is in the adjacent list, take that into account storing distance and node\\n if vertice == source2:\\n found_source2_after = [graph_up.Dictionary[vertice].distance, copy.deepcopy(graph_up.Dictionary[vertice])]\\n\\n if min_down is not None:\\n # if the newly extracted node from H_up is equal to the previously extracted node in H_down, end process\\n # taking into account also previously stored distances and nodes of the destination found in some adjacent lists\\n if min_up == min_down:\\n\\n return path(min_up, min_down, min_up.distance + min_down.distance, found_source2_after, found_source1_after)\\n\\n min_down = H_down.remove_min()\\n\\n # if newly extracted node from H_down is equal to destination, end process\\n # taking into account also previously stored distances and nodes of the \\n # destination found in some adjacent lists\\n if min_down == graph.Dictionary[source1]:\\n\\n return one_way_path(min_down, min_down.distance, found_source2_after, found_source1_after)\\n \\n for passage, vertice, weight in min_down.ancestors:\\n\\n bi_relax(H_down, min_down, graph_down.Dictionary[vertice], weight, passage, graph_down)\\n \\n # if destination is in the adjacent list, take that into account storing distance and node\\n if vertice == source1:\\n found_source1_after = [graph_down.Dictionary[vertice].distance, copy.deepcopy(graph_down.Dictionary[vertice])]\\n\\n # if the extracted nodes from H_up and H_down, end process taking into account also \\n # previously stored distances and nodes of the destination found in some adjacent lists\\n if min_up == min_down:\\n\\n return path(min_up, min_down, min_up.distance + min_down.distance, found_source2_after, found_source1_after)\",\n \"def djikstra(self, start_vertex):\\n \\n # Initialize a priority queue by distance to vertices\\n queue = [(0, start_vertex)]\\n heapq.heapify(queue)\\n \\n # Initialize the dictionary which will contain the answer\\n min_dists = collections.defaultdict(lambda: float('inf'))\\n min_dists[start_vertex] = 0\\n \\n # A set to keep track of visisted vertices\\n visited = set()\\n \\n # While there are elements left in the priority queue\\n while queue:\\n \\n # Pop off the vertex which is closest\\n (dist, vertex) = heapq.heappop(queue)\\n \\n # If it's seen, continue. If not, it's seen now\\n if vertex not in visited:\\n visited.add(vertex)\\n else:\\n continue\\n \\n # Go through every neighbor of the vertex\\n for neighbor, weight in self.neighbors(vertex, True):\\n \\n # The minimum distance to `neighbor` might be improved if\\n # the path going through `vertex` is smaller than the\\n # existing solution. This is the dynamic programming step.\\n min_dist_so_far = min_dists[neighbor]\\n possible_new_min = min_dists[vertex] + weight\\n min_dists[neighbor] = min(min_dist_so_far, possible_new_min)\\n \\n # Push to the queue. Prioritize by distance.\\n heapq.heappush(queue, (min_dists[neighbor], neighbor))\\n \\n return min_dists\",\n \"def shortestPath(self, source, target):\\n dist = {}\\n prev = {}\\n q = []\\n for y,a in enumerate(self.sm):\\n for x,b in enumerate(self.sm[y]):\\n dist[(x,y)] = sys.maxint\\n prev[(x,y)] = None\\n q.append((x,y))\\n dist[source] = 0\\n\\n while len(q) is not 0:\\n # find the node with minimum value (u)\\n d = deepcopy(dist)\\n while True:\\n b = dict(map(lambda item: (item[1],item[0]), d.items()))\\n u = b[min(b.keys())]\\n if u not in q:\\n d.pop(u)\\n else:\\n break\\n\\n if dist[u] == sys.maxint: # remaining nodes are inaccessible\\n break\\n\\n q.remove(u)\\n\\n\\n if u == target: # target found\\n break\\n\\n for v in self.getNeighbors(u):\\n alt = dist[u] + 1\\n if alt < dist[v]:\\n dist[v] = alt\\n prev[v] = u\\n\\n s = []\\n u = target\\n while prev[u] is not None:\\n s.append(u)\\n u = prev[u]\\n s.reverse()\\n\\n return s\",\n \"def dijkstra(self, start, end):\\n unvisited = self.nodes()\\n distance = {}\\n previous = {}\\n for node in unvisited:\\n distance[node] = sys.maxsize\\n distance[start] = 0\\n while len(unvisited) > 0:\\n node = unvisited[0]\\n smallest_curr = sys.maxsize\\n for d in distance:\\n if d in unvisited and distance[d] < smallest_curr:\\n node = d\\n smallest_curr = distance[d]\\n unvisited.remove(node)\\n for neighbor in self.neighbors(node).keys():\\n alt_path = distance[node] + self.weight(node, neighbor)\\n if alt_path < distance[neighbor]:\\n distance[neighbor] = alt_path\\n previous[neighbor] = node\\n result = []\\n result.append(end)\\n curr = end\\n while curr in previous:\\n result.append(previous[curr])\\n curr = previous[curr]\\n return result\",\n \"def dijkstra(self, v, parents, costs):\\n\\n # Initialize the vertex\\n parents[v] = v\\n # Has cost of 0\\n costs[v] = 0\\n # Add to frontier\\n frontier = [(0, v)]\\n # Create an off frontier set\\n off_frontier = set()\\n # Do this until there are items left in frontier\\n while len(frontier) > 0:\\n # Get cost and the node\\n pcost, p = heappop(frontier)\\n # If it has not yet been seen\\n if p not in off_frontier:\\n # add to off frontier\\n off_frontier.add(p)\\n # check all it's neighbors\\n for c in self.neighbors[p]:\\n # cost to node's neighbors\\n w = pcost + self.weights[(p, c)]\\n # update if cost is less or if cost has not yet been seen\\n if c not in costs or w < costs[c]:\\n # update dictionaries\\n parents[c] = p\\n costs[c] = w\\n # push onto frontier\\n heappush(frontier, (w, c))\",\n \"def dijkstras(G,s,g,cost=(lambda v,w:1),verbose=1):\\n if not callable(g):\\n gtest = lambda x,goal=g: x==g\\n else:\\n gtest = g\\n d = dict((v,float('inf')) for v in G.nodes())\\n p = dict((v,None) for v in G.nodes())\\n d[s] = 0\\n Q = [(0,s)] #each element is a tuple (c,v) with c=cost from start, v=vertex\\n nnodes = 0\\n while len(Q) > 0:\\n c,v = heapq.heappop(Q) #get the element in the queue with the least value of c\\n nnodes += 1\\n if gtest(v):\\n #found a path\\n if verbose: print(\\\"Dijkstra's succeeded in\\\",nnodes,\\\"iterations\\\")\\n return predecessor_traverse(p,s,v),d,p\\n for w in G.neighbors(v):\\n dcand = d[v] + cost(v,w) #this is the cost of going through v to w\\n if dcand < d[w]:\\n #going through v is optimal\\n #if the predecessor of w is not None, then we'll have to adjust the heap\\n if p[w] is not None:\\n Q = [(c,x) for (c,x) in Q if x is not w]\\n heapq.heapify(Q)\\n d[w] = dcand\\n p[w] = v\\n #put w on the queue\\n heapq.heappush(Q,(dcand,w))\\n #no path found\\n if verbose: print(\\\"Dijkstra's failed in\\\",nnodes,\\\"iterations\\\")\\n return None,d,p\",\n \"def shortestPath( self, source, target, weight = None ):\\n if weight == None:\\n return nx.shortest_path(self._G, source, target)\\n else:\\n return nx.shortest_path(self._G, source, target, weight = weight)\",\n \"def dijkstra(self, s, t):\\n l = []\\n dist = {}\\n prev = {}\\n discovered = {}\\n for v in self.get_vertices():\\n dist[v] = float('inf')\\n prev[v] = None\\n discovered[v] = False\\n dist[s] = 0\\n l.append((s, dist[s]))\\n while len(l) != 0:\\n u = min(l, key=lambda x: x[1])\\n l.remove(u)\\n u = u[0]\\n discovered[u] = True\\n if u == t:\\n break\\n for v in self.get_adjacent_vertices_by_vertex(u):\\n if not discovered[v]:\\n alt = dist[u] + self.get_edge((u, v)).attr[\\\"WEIGHT\\\"]\\n if alt < dist[v]:\\n dist[v] = alt\\n prev[v] = u\\n l.append((v, dist[v]))\\n # Create a graph according to visited nodes store in prev array\\n u = t\\n g = Graph(attr={DIRECTED: True})\\n while u is not None:\\n g.add_vertex(vertex.Vertex(u, {\\\"WEIGHT\\\": dist[u]}))\\n if prev[u] is not None:\\n g.add_vertex(vertex.Vertex(prev[u], {\\\"WEIGHT\\\": dist[prev[u]]}))\\n g.add_edge(edge.Edge(prev[u], u))\\n u = prev[u]\\n else:\\n break\\n return g\",\n \"def Dijkstra(node_init, node_end, graph):\\n\\n ### Parameter initialisation\\n node_list = list(graph.vertices.keys())\\n dist = np.full(len(node_list), -np.inf)\\n # At the beginning we have not reached the end_node\\n node_end_reached = False\\n # At the beginning, we assume there is a shortest path:\\n no_path = False\\n\\n # Initialising the distances of the nodes\\n dist[node_init] = 0\\n # Setting the father_node which contains the provenance of the nodes\\n father_node = np.full(len(node_list), -np.inf)\\n # Initialising the current node\\n current_node = node_init \\n # Initialising the dictionnary of fixed node which has the following shape:\\n #{fixed_node: previous_node}\\n # Fixing the number of iterations\\n k = 0\\n dict_fixed_node = {node_init:(None,k)}\\n \\n # In the trivial case where the two nodes are identical\\n if node_init == node_end:\\n cost = 0\\n shortest_path = [node_init]\\n no_path = False\\n return cost, shortest_path, no_path\\n \\n # While the end node has not been reached\\n while not node_end_reached:\\n current_node_adj = graph.node_get_adj(current_node).copy()\\n # We get rid off the node that have been fixed, except at the first iteration\\n if k != 0:\\n current_node_adj.remove(dict_fixed_node[current_node][0])\\n ## Updating the distances : either the node are neighbors and \\n # something might change, either they are not, and their distance \\n # does not change.\\n # For the neighbors node\\n for e in current_node_adj:\\n dist_temp = dist[current_node] + 1\\n # We change the distance only if it is lower than it used to be\\n # otherwise, we keep it\\n if dist_temp < dist[e] or dist[e] == -np.inf:\\n dist[e] = dist_temp\\n # Setting the father node\\n father_node[e] = current_node\\n father_node[current_node] = None\\n # We set the distance of the current node to 0\\n dist[current_node] = 0 \\n # Index and distances which are not 0 and not minus infty\\n sub_dist_index = [i for i, e in enumerate(dist) if e > 0]\\n sub_dist_value = np.array([e for i, e in enumerate(dist) if e > 0])\\n # If these two lists are empty, we stop the algorithm and that means\\n # that we cannot reach our point\\n if not sub_dist_index or sub_dist_value.size == 0:\\n no_path = True\\n cost = 'impossible path'\\n shortest_path = 'impossible path'\\n break\\n # Now we need to set our choice for the next node\\n if np.array_equal(sub_dist_value, np.ones(len(sub_dist_value))):\\n ## If there are only ones : we pick them up randomly\\n current_node = int(random.choice(list(sub_dist_index)))\\n else:\\n ## If not we just pick up the one with the minimum distance.\\n current_node = sub_dist_index[sub_dist_value.argmin()]\\n # Adding this node to the dictionnary\\n dict_fixed_node[current_node] = (int(father_node[current_node]), k)\\n # If the end_node has been reached, we stop the search algorithm\\n if node_end in dict_fixed_node.keys():\\n node_end_reached = True\\n # Incrementing the counter\\n k += 1\\n\\n # Now we need to get the shortest path from our iterations whose information \\n # are in dict_fixed_node. To do this, we need to circle back from the end_node\\n # to the init_node in this dictionnary.\\n # This is done only if some path between node_init and end_node exists.\\n if no_path == False:\\n list_father_node = list(dict_fixed_node.values())\\n previous_node = list_father_node[-1][0]\\n shortest_path = [node_end, previous_node]\\n # While the initial node has not been reached, we add the relevant\\n # nodes to our shortest path\\n while previous_node != node_init:\\n previous_node = dict_fixed_node[previous_node][0]\\n shortest_path.append(previous_node)\\n \\n # Computing the cost of this shortest path in terms of weights\\n cost = len(shortest_path) - 1\\n \\n return cost, shortest_path, no_path\",\n \"def dijkstra_tree(self, s):\\n l = []\\n dist = {}\\n prev = {}\\n discovered = {}\\n g = Graph(attr={DIRECTED: True})\\n g.add_vertex(vertex.Vertex(s, {\\\"WEIGHT\\\": 0}))\\n for v in self.get_vertices():\\n dist[v] = float('inf')\\n prev[v] = None\\n discovered[v] = False\\n dist[s] = 0\\n l.append((s, dist[s]))\\n while len(l) != 0:\\n u = min(l, key=lambda x: x[1])\\n l.remove(u)\\n u = u[0]\\n discovered[u] = True\\n for v in self.get_adjacent_vertices_by_vertex(u):\\n if not discovered[v]:\\n alt = dist[u] + self.get_edge((u, v)).attr[\\\"WEIGHT\\\"]\\n if alt < dist[v]:\\n dist[v] = alt\\n prev[v] = u\\n l.append((v, dist[v]))\\n g.add_vertex(vertex.Vertex(v, {\\\"WEIGHT\\\": dist[v]}))\\n g.add_edge(edge.Edge(u, v, {\\\"WEIGHT\\\": dist[v]}))\\n\\n return g\",\n \"def dijkstra(self, start, end):\\n distance = {}\\n path_weights = {start: (None, 0)}\\n for key in self:\\n distance[key] = float('inf')\\n distance[start] = 0\\n while distance:\\n current = min(distance, key=distance.get)\\n for neighbor in self[current]:\\n temp_dist = distance[current] + self[current][neighbor]\\n if neighbor in distance and temp_dist < distance[neighbor]:\\n distance[neighbor] = temp_dist\\n path_weights[neighbor] = (current, temp_dist)\\n del distance[current]\\n path = []\\n prev = end\\n while prev is not None:\\n path.append(prev)\\n prev = path_weights[prev][0]\\n return list(reversed(path))\",\n \"def dijkstra(graph, node):\\n\\n color = dict((n, 'white') for n in graph.nodes())\\n distance = dict((n, float('inf')) for n in graph.nodes())\\n distance[node] = 0\\n pred = {}\\n\\n def visit(node):\\n q = deque()\\n color[node] = 'grey'\\n # q.appendleft(node)\\n while len(q) != 0:\\n\\n for adjacent in graph.outAdjacent(current_node):\\n if color[adjacent] is 'white':\\n color[adjacent] = 'grey'\\n distance[adjacent] = distance[current_node] \\\\\\n + graph.weight(current_node, adjacent)\\n pred[adjacent] = current_node\\n q.appendleft(adjacent)\\n elif color[adjacent] is 'grey':\\n new_path_dist = distance[current_node] + \\\\\\n graph.weight(current_node, adjacent)\\n if distance[adjacent] > new_path_dist:\\n distance[adjacent] = new_path_dist\\n\\n color[current_node] = 'black'\\n\\n\\n visit(node)\\n\\n for node, color in color.items():\\n if color is 'white':\\n visit(node)\\n return distance\",\n \"def getShortestPath(self, src, dest):\\n vertices = self.floorGraph.getVertList()\\n unvisitedQueue = []\\n srcPath = Path()\\n srcPath.addNode(src)\\n srcPath.pathValue = 0\\n unvisitedQueue.append(srcPath)\\n connections = self.floorGraph.getVertex(src).getConnections()\\n #initialisez distances\\n for vertex in vertices:\\n newPath = Path()\\n newPath.nodeList = list(srcPath.nodeList)\\n newPath.addNode(vertex)\\n if self.floorGraph.getVertex(vertex) in connections:\\n newPath.pathValue = self.floorGraph.getVertex(src).getWeight(self.floorGraph.getVertex(vertex))\\n unvisitedQueue.append(newPath)\\n else:\\n newPath.pathValue = math.inf\\n self.shortestDistanceMap[src+vertex] = newPath\\n # updates distances as per shorter routes\\n while len(unvisitedQueue) is not 0:\\n unvisitedQueue = sorted(unvisitedQueue, key=functools.cmp_to_key(compareNodes))\\n chkPath = unvisitedQueue.pop(0)\\n chkNode = chkPath.nodeList[len(chkPath.nodeList)-1]\\n for vertex in vertices:\\n if(self.floorGraph.getVertex(vertex) in self.floorGraph.getVertex(chkNode).getConnections()):\\n newWeight = chkPath.pathValue + self.floorGraph.getVertex(chkNode).getWeight(self.floorGraph.getVertex(vertex))\\n if(newWeight < self.shortestDistanceMap[src+vertex].pathValue):\\n self.shortestDistanceMap[src+vertex].pathValue = newWeight\\n self.shortestDistanceMap[src+vertex].nodeList = list(chkPath.nodeList)\\n self.shortestDistanceMap[src+vertex].nodeList.append(vertex)\\n newPath = Path()\\n newPath.nodeList = list(self.shortestDistanceMap[src+vertex].nodeList)\\n newPath.pathValue = newWeight\\n unvisitedQueue.append(newPath)\\n print(self.shortestDistanceMap[src+dest].nodeList)\\n print(self.shortestDistanceMap[src+dest].pathValue)\",\n \"def tdsp_dijsktra(graphs, start_time, initial, end):\\n shortest_paths = {initial: (None, 0)}\\n current_node = initial\\n visited = set()\\n\\n ts = get_timestep(time(start_time.hour, start_time.minute))\\n current_time = start_time\\n\\n while current_node != end:\\n visited.add(current_node)\\n destinations = graphs[ts].edges[current_node]\\n weight_to_current_node = shortest_paths[current_node][1]\\n logger.debug(\\\"weight_to_current_node = {}\\\".format(weight_to_current_node))\\n if weight_to_current_node > 0:\\n # update the time.\\n ct = convert_float_to_time(weight_to_current_node)\\n current_time += timedelta(hours=ct.hour, minutes=ct.minute)\\n ts = get_timestep(time(current_time.hour, current_time.minute))\\n\\n logger.debug(\\\"shortest_paths = {}\\\".format(shortest_paths))\\n logger.debug(\\\"destinations = {}\\\".format(destinations))\\n\\n for next_node in destinations:\\n logger.debug(\\\"current_node = {}\\\".format(current_node))\\n logger.debug(\\\"next_node = {}\\\".format(next_node))\\n logger.debug(\\\"ts = {}\\\".format(ts))\\n graph_weight = graphs[ts].weights.get((current_node, next_node), 1.0) # Fixme: if there is no entry then default to cost of 1.0\\n weight = graph_weight + weight_to_current_node\\n logger.debug(\\\"graphs[{}].weights[({}, {})] = {}\\\".format(ts, current_node, next_node, graph_weight))\\n logger.debug(\\\"weight_to_current_node = {}\\\".format(weight_to_current_node))\\n logger.debug(\\\"weight = {}\\\".format(weight))\\n if next_node not in shortest_paths:\\n logger.debug(\\\"next_node {} not in shortest paths\\\".format(next_node))\\n shortest_paths[next_node] = (current_node, weight)\\n else:\\n current_shortest_weight = shortest_paths[next_node][1]\\n if current_shortest_weight > weight:\\n shortest_paths[next_node] = (current_node, weight)\\n\\n logger.debug(\\\"shortest_paths = {}\\\".format(shortest_paths))\\n\\n next_destinations = {node: shortest_paths[node] for node in shortest_paths if node not in visited}\\n logger.debug(\\\"next_destinations = {}\\\".format(next_destinations))\\n\\n if not next_destinations:\\n return None\\n\\n current_node = min(next_destinations, key=lambda k: next_destinations[k][1])\\n logger.debug(\\\"selected node for shortest path = {}\\\".format(current_node))\\n\\n logger.debug(\\\"shortest_paths = {}\\\".format(shortest_paths))\\n\\n path = []\\n while current_node is not None:\\n path.append(current_node)\\n next_node = shortest_paths[current_node][0]\\n current_node = next_node\\n\\n # Reverse the path\\n path = path[::-1]\\n return path\",\n \"def Dijkstra2(node_init, node_end, graph):\\n\\n ### Parameter initialisation\\n node_list = list(graph.vertices.keys())\\n dist = np.full(len(node_list), -np.inf)\\n # At the beginning we have not reached the end_node\\n node_end_reached = False\\n # At the beginning, we assume there is a shortest path:\\n no_path = False\\n \\n # Initialising the distances of the nodes\\n dist[node_init] = 0\\n # Setting the father_node which contains the provenance of the nodes\\n father_node = np.full(len(node_list), -np.inf)\\n # Initialising the current node\\n current_node = node_init \\n # Initialising the dictionnary of fixed node which has the following shape:\\n #{fixed_node: (previous_node, iteration, cost)}\\n # Fixing the number of iterations\\n k = 0\\n dict_fixed_node = {node_init:(None,k, 0)}\\n \\n # In the trivial case where the two nodes are identical\\n if node_init == node_end:\\n cost = 0\\n shortest_path = [node_init]\\n no_path = False\\n return cost, shortest_path, no_path\\n \\n # While the end node has not been reached\\n while not node_end_reached:\\n current_node_adj = graph.node_get_adj(current_node).copy()\\n # We get rid off the nodes that have been fixed, except at the first iteration\\n if k != 0:\\n current_node_adj.remove(dict_fixed_node[current_node][0])\\n ## Updating the distances : either the node are neighbors and \\n # something might change, either they are not, and their distance \\n # does not change.\\n # For the neighbors node\\n for e in current_node_adj:\\n dist_temp = dist[current_node] + graph.weights[(current_node, e)]\\n # We change the distance only if it is lower than it used to be\\n # otherwise, we keep it\\n if dist_temp < dist[e] or dist[e] == -np.inf:\\n dist[e] = dist_temp\\n # Setting the father node\\n father_node[e] = current_node\\n father_node[current_node] = None\\n # We set the distance of the current node to 0\\n dist[current_node] = 0 \\n # Index and distances which are not 0 and not minus infty\\n sub_dist_index = [i for i, e in enumerate(dist) if e > 0]\\n sub_dist_value = np.array([e for i, e in enumerate(dist) if e > 0])\\n # If these two lists are empty, we stop the algorithm and that means\\n # that we cannot reach our point\\n if not sub_dist_index or sub_dist_value.size == 0:\\n no_path = True\\n cost = 'impossible path'\\n shortest_path = 'impossible path'\\n break\\n # Now we need to set our choice for the next node\\n if np.array_equal(sub_dist_value, np.ones(len(sub_dist_value))):\\n ## If there are only ones : we pick them up randomly\\n current_node = int(random.choice(list(sub_dist_index)))\\n min_dist = sub_dist_value.min()\\n else:\\n ## If not we just pick up the one with the minimum distance.\\n current_node = sub_dist_index[sub_dist_value.argmin()]\\n min_dist = sub_dist_value.min()\\n # Adding this node to the dictionnary\\n dict_fixed_node[current_node] = (int(father_node[current_node]), k, min_dist)\\n # If the end_node has been reached, we stop the search algorithm\\n if node_end in dict_fixed_node.keys():\\n node_end_reached = True\\n # Incrementing the counter\\n k += 1\\n #print('current_node : {}'.format(current_node))\\n #print(dict_fixed_node)\\n # Now we need to get the shortest path from our iterations whose information \\n # are in dict_fixed_node. To do this, we need to circle back from the end_node\\n # to the init_node in this dictionnary.\\n # This is done only if some path between node_init and end_node exists.\\n if no_path == False:\\n list_father_node = list(dict_fixed_node.values())\\n previous_node = list_father_node[-1][0]\\n shortest_path = [node_end, previous_node]\\n # While the initial node has not been reached, we add the relevant\\n # nodes to our shortest path\\n while previous_node != node_init:\\n previous_node = dict_fixed_node[previous_node][0]\\n shortest_path.append(previous_node)\\n \\n # Computing the cost of this shortest path in terms of weights\\n cost = int(dict_fixed_node[node_end][2])\\n \\n return cost, shortest_path, no_path\",\n \"def spDijkstra(self, node, returnPaths = False, nodeWeights = {}):\\n # Initialize heap, not found nodes, and found nodes\\n heap = map(lambda k:\\\\\\n (0 if k == node else self.Inf, k,\\\\\\n k if k == node else None), self.__nodes.keys())\\n nodes = dict(map(lambda (i, n): (n[1], i), enumerate(heap)))\\n found = defaultdict(lambda: None)\\n \\n # Set default node weight to zero\\n nodeWeights = defaultdict(lambda: 0, nodeWeights)\\n \\n # Swap target node to beginning of heap\\n Graph.__swapHeapNodes(heap, nodes, 0, nodes[node])\\n \\n # Iterate through nodes\\n for stopPos in xrange(len(heap) - 1, -1 , -1):\\n # Pop minimum node\\n n = Graph.__heappop(heap, nodes, 0, stopPos)\\n \\n # Add to found nodes\\n found[n[1]] = (n[0], n[2])\\n \\n # Update path length for nodes reachable from minimum node\\n for e in self.__nodes[n[1]]['tails']:\\n # Get edge components\\n tail, head, weight = self.__edges[e]\\n \\n # Continue if head node already found\\n if found[head] is not None: continue\\n \\n # Calculate new path length and update if less than current\\n newLen = n[0] + weight + nodeWeights[tail] - nodeWeights[head]\\n if newLen < heap[nodes[head]][0]:\\n heap[nodes[head]] = (newLen, head, tail)\\n Graph.__siftup(heap, nodes, nodes[head])\\n \\n # Remove node weights from path lenghts\\n found = dict(map(lambda k:\\\\\\n (k, (found[k][0] - nodeWeights[node] + nodeWeights[k], found[k][1])),\\\\\\n found.keys()))\\n \\n # Return shortest paths\\n return self.__reconstructPath(found, returnPaths)\",\n \"def dijkstra_shortest_path(graph, search):\\n distances_from_start = [None] * len(graph)\\n\\n visited_vertexes = []\\n\\n current_vertex = 0\\n\\n distances_from_start[current_vertex] = [0, 0] # [distance from start, via vertex]\\n\\n for row in range(len(graph)):\\n\\n current_vertex = row\\n\\n #print(\\\"Current vertex: \\\", current_vertex)\\n\\n # Iterate through each column in the current row in the adjacency matrix\\n for col in range(len(graph[current_vertex])):\\n\\n if graph[current_vertex][col] is not None and distances_from_start[col] is None:\\n distances_from_start[col] = [distances_from_start[current_vertex][0] + graph[current_vertex][col], current_vertex]\\n\\n elif graph[current_vertex][col] is not None and (graph[current_vertex][col] + distances_from_start[current_vertex][0]) < distances_from_start[col][0]:\\n distances_from_start[col] = [(graph[current_vertex][col] + distances_from_start[current_vertex][0]), current_vertex]\\n\\n print(\\\"Distances from start: \\\", distances_from_start) # show updated distances_from_start array\\n\\n # Add current_vertex to visited list so that its distance from the start is calculated again in future\\n if current_vertex not in visited_vertexes:\\n visited_vertexes.append(current_vertex)\\n\\n # print(\\\"Visited vertexes: \\\", visited_vertexes)\\n\\n # Print the shortest path in a friendly format\\n print(\\\"Shortest path:\\\")\\n current_vertex = search #len(graph) - 1\\n path_string = \\\"\\\"\\n orderlist = []\\n while current_vertex > 0:\\n\\n # Add the distance for the current vertex from the start in brackets after the letter of the vertex.\\n path_string = \\\"{0}({1}) \\\".format(chr(current_vertex + 65), distances_from_start[current_vertex][0]) + path_string\\n\\n temp = [chr(current_vertex + 65), distances_from_start[current_vertex][0]]\\n\\n orderlist.append(temp)\\n\\n # Update the current vertex to be the one that the current one goes via on its way back to the start\\n current_vertex = distances_from_start[current_vertex][1] # distances_from_start[vertex number, via vertex]\\n\\n\\n # Add the start vertex to the output string as the while loop will stop before we add its details to the string\\n path_string = \\\"{0}({1}) \\\".format(chr(current_vertex + 65), distances_from_start[current_vertex][0]) + path_string\\n\\n temp = [chr(current_vertex + 65), distances_from_start[current_vertex][0]]\\n orderlist.append(temp)\\n\\n print(path_string)\\n\\n return orderlist[::-1]\",\n \"def shortest_path__dijkstra__priority_queue(self, source, target=None):\\n dist = {} # best distances to `v` from `source`\\n prev = {} # predecessors of `v`\\n Q = PriorityQueue()\\n\\n dist[source] = 0\\n Q.add_with_priority(source, 0)\\n\\n for v in self.vertices:\\n if v != source:\\n dist[v] = self.INFINITY # unknown distance from source to `v`\\n prev[v] = None # predecessor of `v`\\n\\n # the main loop\\n reached_target = False\\n while not Q.is_empty and not reached_target:\\n priority, u = Q.extract_min() # remove and return best vertex\\n\\n # go through all `v` neighbors of `u`\\n for v, edge_weight in self.neighbors_of(u):\\n alt = dist[u] + edge_weight\\n if alt < dist[v]:\\n # current known shortest path to `v` is...\\n dist[v] = alt # with distance `alt`\\n prev[v] = u # through vertex `u`\\n\\n if not Q.contains(v):\\n Q.add_with_priority(v, alt)\\n\\n if target is not None and u == target:\\n # break as soon as `target` is reached\\n # no need to calculate shortest path between every pair of vertices\\n reached_target = True\\n\\n if target is not None and reached_target:\\n S = [] # holds the shortest path, or empty if None\\n u = target\\n if u in prev or u == source:\\n while u is not None:\\n S.append(u)\\n u = prev.get(u)\\n\\n path = S[::-1]\\n distance = sum([v.weight for v in S])\\n else:\\n path = None\\n distance = None\\n\\n return path, distance, dist\",\n \"def shortest_route(self, src, dest):\\n\\n # Dijkstra with unusual start condition to prevent src -> src == 0 distance\\n x_in = set()\\n a = defaultdict(lambda: float('inf'))\\n v = self.V.copy()\\n\\n for node, cost in self.G[src].items():\\n a[node] = cost\\n x_in.add(node)\\n v.remove(node)\\n\\n while x_in != self.V:\\n mn = float('inf')\\n new = None\\n for x in x_in:\\n for node, cost in self.G[x].items():\\n if node in v:\\n if (a[x] + cost) < mn: # optimize large/dense G with pri. q\\n mn = a[x] + cost\\n new = (x, node, cost)\\n if new is None:\\n break\\n x, node, cost = new\\n x_in.add(node)\\n v.remove(node)\\n a[node] = a[x] + cost\\n return a[dest]\",\n \"def dijkstra(self, seed=0):\\n import heapq\\n if hasattr(seed, '__iter__') == False:\\n seed = [seed]\\n try:\\n if (self.weights < 0).any():\\n raise ValueError('some weights are non-positive')\\n except:\\n raise ValueError('undefined weights')\\n dist, active = np.inf * np.ones(self.V), np.ones(self.V)\\n idx, neighb, weight = self.compact_neighb()\\n dist[seed] = 0\\n dg = list(zip(np.zeros_like(seed), seed))\\n heapq.heapify(dg)\\n for j in range(self.V):\\n end = False\\n while True:\\n if len(dg) == 0:\\n end = True\\n break\\n node = heapq.heappop(dg)\\n if active[node[1]]:\\n break\\n if end:\\n break\\n dwin, win = node\\n active[win] = False\\n # the folllowing loop might be vectorized\\n l = neighb[idx[win]: idx[win + 1]]\\n newdist = dwin + weight[idx[win]: idx[win + 1]]\\n who = newdist < dist[l]\\n for z in zip(newdist[who], l[who]):\\n heapq.heappush(dg, z)\\n dist[l[who]] = newdist[who]\\n return dist\",\n \"def dijkstra(wg, root):\\n first = wg.index_of(root)\\n distances = [None,] * wg.vertex_count\\n distances[first] = 0\\n paths = {}\\n pq = PriorityQueue()\\n\\n # (1) Adds the starting node to the pq\\n pq.push(DijkstraNode(first, 0))\\n\\n # (4) loops untill pq is empty\\n while not pq.empty:\\n # (2) Pop the closest vertex from the pq\\n u = pq.pop().vertex\\n dist_u = distances[u]\\n\\n # (3) Look at all of the cv's neibors\\n for we in wg.edges_for_index(u):\\n dist_v = distances[we.v]\\n\\n # (3a) If this path has not been recored, or offers a new, shorter, route\\n if dist_v is None or dist_v > (we.weight + dist_u):\\n # (3b) Update dist to vertex\\n distances[we.v] = we.weight + dist_u\\n # (3b) Update path to vertex\\n paths[we.v] = we\\n # (3c) add to pq\\n pq.push(DijkstraNode(we.v, we.weight + dist_u))\\n\\n # (5) return shortest paths\\n return distances, paths\",\n \"def shortest_path(source, target):\\n #although lecture checks for goal when a node is popped off the frontier, efficiency of search can be improved\\n #by checking for a goal as nodes are ADDED. If goal detected, don't add it to frontier, just return the solution\\n #immediately\\n\\n #create start point\\n start = Node(state = source, parent = None, action = None)\\n frontier = QueueFrontier()\\n frontier.add(start)\\n\\n #create explored set\\n explored = set()\\n\\n while True:\\n #if nothing left in frontier, no path exists\\n if frontier.empty():\\n return None\\n\\n #choose a node from the frontier\\n node = frontier.remove()\\n #if node is goal, we have solution\\n\\n #add neighbors 2 frontier using function THATS ALR THERE DUMMY\\n for (movie, star) in neighbors_for_person(node.state):\\n newNode = Node(state = star, parent = node, action=movie)\\n if not frontier.contains_state(newNode) and newNode.state not in explored:\\n if newNode.state == target:\\n #reverse the solution\\n solution = []\\n while newNode.parent is not None:\\n actionTuple = (newNode.action, newNode.state)\\n solution.append(actionTuple)\\n newNode = newNode.parent\\n solution.reverse()\\n return solution\\n else: frontier.add(newNode)\\n\\n #mark state as explored\\n explored.add(node.state)\",\n \"def dijkstra(grid,start,end, heuristic_cost=null_heuristic):\\n return a_star(grid,start,end, heuristic_cost)\",\n \"def shortest(self, from_node, to_node):\\n print \\\"Shortest path from {} to {}\\\".format(from_node.name, to_node.name)\\n current = from_node\\n solution = {current.name: 0}\\n visited = []\\n if from_node.name == to_node.name:\\n return \\\"No route necessary\\\"\\n\\n while current:\\n if current.name == to_node.name:\\n return \\\"Solution {}\\\".format(solution.get(to_node.name))\\n\\n for edge in current.edges:\\n # look at routes from this node\\n if edge.from_node.name != current.name:\\n continue\\n weight = (solution.get(edge.from_node.name) or 0) + edge.weight\\n if not solution.get(edge.to_node.name):\\n solution.update({edge.to_node.name: weight})\\n elif solution.get(edge.to_node.name) > weight:\\n solution.update({edge.to_node.name: weight})\\n\\n # find the lowest weight, go to that node next\\n lowest = None\\n next_node = None\\n for node_name, weight in solution.iteritems():\\n if node_name in visited:\\n continue\\n if lowest is None or weight < lowest:\\n lowest = weight\\n next_node = self.graph.nodes.get(node_name)\\n visited.append(current.name)\\n current = next_node\\n return \\\"No solution\\\"\",\n \"def solve(G):\\n\\n dominatingSet = nx.algorithms.approximation.dominating_set.min_weighted_dominating_set(G, weight=\\\"weight\\\")\\n\\n # Create the graph T and input the dominating set.\\n T = nx.Graph()\\n T.add_nodes_from(dominatingSet)\\n\\n # When the graph is fully dominated by one node, the cost is zero.\\n if len(dominatingSet) == 1:\\n return T\\n\\n # The variable defined below, apsp, stands for all pairs shortest paths from calling NetworkX built-in Dijkstra's algorithm.\\n apsp = dict(nx.algorithms.shortest_paths.weighted.all_pairs_dijkstra(G, weight = \\\"weight\\\"))\\n\\n # In each iteration of the following for loop, we connect node to node2.\\n node2 = None\\n for node in dominatingSet:\\n\\n connected_nodes = nx.dfs_preorder_nodes(T, source=node2)\\n\\n print(\\\"Connecting \\\", node, \\\"to\\\", node2)\\n print(node2, \\\"descendants: \\\", [n for n in connected_nodes])\\n\\n if node2 is not None and node2 not in list(connected_nodes):\\n\\n # We want to connect node to node2 in the cheapest way possible.\\n # Thus, we search from all nodes connected to node2.\\n # By default, we choose the shortest path from node to node2.\\n shortest_path = apsp[node2][1][node]\\n path_cost = apsp[node2][0][node]\\n\\n # Now, evaluate if there is a shorter, cheaper path from a different vertex.\\n for connected_node in list(nx.dfs_preorder_nodes(T, source=node2)):\\n print(\\\" Cheapest path from \\\" + str(connected_node) + \\\": \\\" + str(apsp[connected_node][0][node]))\\n if apsp[connected_node][0][node] < path_cost:\\n shortest_path = apsp[connected_node][1][node]\\n path_cost = apsp[connected_node][0][node]\\n print(\\\"Updating best path to \\\" + str(shortest_path) + \\\", cost \\\" + str(path_cost))\\n\\n print(\\\"Found path via \\\" + str(shortest_path) + \\\" of cost \\\" + str(path_cost))\\n\\n # Add all necessary vertices.\\n for vertex in shortest_path:\\n if vertex not in dominatingSet:\\n T.add_node(vertex)\\n\\n # Add all necessary edges.\\n for i in range(len(shortest_path) - 1):\\n origin = shortest_path[i]\\n terminus = shortest_path[i+1]\\n T.add_edge(origin, terminus, weight=G.get_edge_data(origin, terminus)['weight'])\\n #T[origin][terminus]['weight'] = G.get_edge_data(origin, terminus)['weight']\\n\\n node2 = node\\n print()\\n\\n current_average = average_pairwise_distance(T)\\n last_average = 4000\\n print(current_average)\\n\\n # Until adding more edges doesn't improve the average pairwise cost\\n while current_average < last_average:\\n last_average = current_average\\n # For every node in T\\n for node in nx.dfs_preorder_nodes(T, source=list(T.nodes)[0]):\\n neighbors = nx.algorithms.traversal.breadth_first_search.bfs_tree(G, node, reverse=False, depth_limit=1)\\n # Get one of its neighbors NOT in T\\n for node2 in neighbors:\\n # and add the edge between that vertex and its neighbor\\n # if it decreases the average pairwise cost.\\n if node2 not in T and G.get_edge_data(node, node2)\\\\\\n and G[node][node2]['weight'] < current_average:\\n T.add_node(node2)\\n T.add_edge(node, node2, weight=G.get_edge_data(node, node2)['weight'])\\n new_average = average_pairwise_distance(T)\\n if new_average > current_average:\\n T.remove_node(node2)\\n #T.remove_edge(node, node2)\\n else:\\n current_average = new_average\\n print(\\\"Adding an edge between\\\", node, \\\"and\\\", node2, \\\"yields average\\\", new_average)\\n\\n\\n\\n print(\\\"Dominating vertices:\\\", [node for node in T])\\n\\n return T\",\n \"def k_shortest_paths(G, source, target, k=1, weight='weight'):\\n\\tif source == target:\\n\\t\\treturn ([0], [[source]]) \\n\\t \\n\\tlength, path = nx.single_source_dijkstra(G, source, target, weight=weight)\\n\\tif target not in length:\\n\\t\\traise nx.NetworkXNoPath(\\\"node %s not reachable from %s\\\" % (source, target))\\n\\t\\t\\n\\tlengths = [length[target]]\\n\\tpaths = [path[target]]\\n\\tc = count()\\t\\t\\n\\tB = []\\t\\t\\t\\t\\t\\t\\n\\tG_original = G.copy()\\t\\n\\t\\n\\tfor i in range(1, k):\\n\\t\\tfor j in range(len(paths[-1]) - 1):\\t\\t\\t\\n\\t\\t\\tspur_node = paths[-1][j]\\n\\t\\t\\troot_path = paths[-1][:j + 1]\\n\\t\\t\\t\\n\\t\\t\\tedges_removed = []\\n\\t\\t\\tfor c_path in paths:\\n\\t\\t\\t\\tif len(c_path) > j and root_path == c_path[:j + 1]:\\n\\t\\t\\t\\t\\tu = c_path[j]\\n\\t\\t\\t\\t\\tv = c_path[j + 1]\\n\\t\\t\\t\\t\\tif G.has_edge(u, v):\\n\\t\\t\\t\\t\\t\\tedge_attr = G.edge[u][v]\\n\\t\\t\\t\\t\\t\\tG.remove_edge(u, v)\\n\\t\\t\\t\\t\\t\\tedges_removed.append((u, v, edge_attr))\\n\\t\\t\\t\\n\\t\\t\\tfor n in range(len(root_path) - 1):\\n\\t\\t\\t\\tnode = root_path[n]\\n\\t\\t\\t\\t# out-edges\\n\\t\\t\\t\\tfor u, v, edge_attr in G.copy().edges_iter(node, data=True):\\n\\t\\t\\t\\t\\tG.remove_edge(u, v)\\n\\t\\t\\t\\t\\tedges_removed.append((u, v, edge_attr))\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif G.is_directed():\\n\\t\\t\\t\\t\\t# in-edges\\n\\t\\t\\t\\t\\tfor u, v, edge_attr in G.in_edges_iter(node, data=True):\\n\\t\\t\\t\\t\\t\\tG.remove_edge(u, v)\\n\\t\\t\\t\\t\\t\\tedges_removed.append((u, v, edge_attr))\\n\\t\\t\\t\\n\\t\\t\\tspur_path_length, spur_path = nx.single_source_dijkstra(G, spur_node, target, weight=weight)\\t\\t\\t\\n\\t\\t\\tif target in spur_path and spur_path[target]:\\n\\t\\t\\t\\ttotal_path = root_path[:-1] + spur_path[target]\\n\\t\\t\\t\\ttotal_path_length = get_path_length(G_original, root_path, weight) + spur_path_length[target]\\t\\t\\t\\t\\n\\t\\t\\t\\theappush(B, (total_path_length, next(c), total_path))\\n\\t\\t\\t\\t\\n\\t\\t\\tfor e in edges_removed:\\n\\t\\t\\t\\tu, v, edge_attr = e\\n\\t\\t\\t\\tG.add_edge(u, v, edge_attr)\\n\\t\\t\\t\\t\\t \\n\\t\\tif B:\\n\\t\\t\\t(l, _, p) = heappop(B)\\n\\t\\t\\tlengths.append(l)\\n\\t\\t\\tpaths.append(p)\\n\\t\\telse:\\n\\t\\t\\tbreak\\n\\t\\n\\treturn (lengths, paths)\",\n \"def k_shortest_paths(G, source, target, k=1, weight='weight'):\\n\\tif source == target:\\n\\t\\treturn ([0], [[source]]) \\n\\t \\n\\tlength, path = nx.single_source_dijkstra(G, source, target, weight=weight)\\n\\tif target not in length:\\n\\t\\traise nx.NetworkXNoPath(\\\"node %s not reachable from %s\\\" % (source, target))\\n\\t\\t\\n\\tlengths = [length[target]]\\n\\tpaths = [path[target]]\\n\\tc = count()\\t\\t\\n\\tB = []\\t\\t\\t\\t\\t\\t\\n\\tG_original = G.copy()\\t\\n\\t\\n\\tfor i in range(1, k):\\n\\t\\tfor j in range(len(paths[-1]) - 1):\\t\\t\\t\\n\\t\\t\\tspur_node = paths[-1][j]\\n\\t\\t\\troot_path = paths[-1][:j + 1]\\n\\t\\t\\t\\n\\t\\t\\tedges_removed = []\\n\\t\\t\\tfor c_path in paths:\\n\\t\\t\\t\\tif len(c_path) > j and root_path == c_path[:j + 1]:\\n\\t\\t\\t\\t\\tu = c_path[j]\\n\\t\\t\\t\\t\\tv = c_path[j + 1]\\n\\t\\t\\t\\t\\tif G.has_edge(u, v):\\n\\t\\t\\t\\t\\t\\tedge_attr = G.edge[u][v]\\n\\t\\t\\t\\t\\t\\tG.remove_edge(u, v)\\n\\t\\t\\t\\t\\t\\tedges_removed.append((u, v, edge_attr))\\n\\t\\t\\t\\n\\t\\t\\tfor n in range(len(root_path) - 1):\\n\\t\\t\\t\\tnode = root_path[n]\\n\\t\\t\\t\\t# out-edges\\n\\t\\t\\t\\tfor u, v, edge_attr in G.copy().edges_iter(node, data=True):\\n\\t\\t\\t\\t\\tG.remove_edge(u, v)\\n\\t\\t\\t\\t\\tedges_removed.append((u, v, edge_attr))\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif G.is_directed():\\n\\t\\t\\t\\t\\t# in-edges\\n\\t\\t\\t\\t\\tfor u, v, edge_attr in G.in_edges_iter(node, data=True):\\n\\t\\t\\t\\t\\t\\tG.remove_edge(u, v)\\n\\t\\t\\t\\t\\t\\tedges_removed.append((u, v, edge_attr))\\n\\t\\t\\t\\n\\t\\t\\tspur_path_length, spur_path = nx.single_source_dijkstra(G, spur_node, target, weight=weight)\\t\\t\\t\\n\\t\\t\\tif target in spur_path and spur_path[target]:\\n\\t\\t\\t\\ttotal_path = root_path[:-1] + spur_path[target]\\n\\t\\t\\t\\ttotal_path_length = get_path_length(G_original, root_path, weight) + spur_path_length[target]\\t\\t\\t\\t\\n\\t\\t\\t\\theappush(B, (total_path_length, next(c), total_path))\\n\\t\\t\\t\\t\\n\\t\\t\\tfor e in edges_removed:\\n\\t\\t\\t\\tu, v, edge_attr = e\\n\\t\\t\\t\\tG.add_edge(u, v, edge_attr)\\n\\t\\t\\t\\t\\t \\n\\t\\tif B:\\n\\t\\t\\t(l, _, p) = heappop(B)\\t\\t\\n\\t\\t\\tlengths.append(l)\\n\\t\\t\\tpaths.append(p)\\n\\t\\telse:\\n\\t\\t\\tbreak\\n\\t\\n\\treturn (lengths, paths)\",\n \"def shortest_path(self, from_node):\\n\\n\\t\\t# add the final nodes when algorithm goes past the target prediction time \\n\\t\\tif self.get_real_time(from_node.time) >= self.target:\\n\\t\\t\\tself.g.add_node(from_node, usage_cost=0, best_action=None, max_demand=self.starting_max_demand)\\n\\t\\t\\treturn\\n\\n\\t\\t#create the action set (0 is for do nothing, 1 is for cooling, 2 is for heating)\\n\\t\\taction_set = self.safety.safety_actions(from_node.temps)\\n\\t\\t\\n\\t\\t#iterate for each available action\\n\\t\\tfor action in action_set:\\n\\t\\t\\t\\n\\t\\t\\t# predict temperature and energy consumption of action\\n\\t\\t\\tnew_temperature = []\\n\\t\\t\\tconsumption = []\\n\\t\\t\\tfor i in range(self.noZones):\\n\\t\\t\\t\\tnew_temperature.append(self.th.next_temperature(from_node.temps[i], action[i], zone=i))\\n\\t\\t\\t\\tconsumption.append(self.energy.calc_cost(action[i], from_node.time/self.interval))\\n\\t\\t\\t\\t\\n\\t\\t\\tif self.safety.safety_check(new_temperature) and len(action_set) > 1:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\t# create the node that describes the predicted data\\n\\t\\t\\tnew_node = Node(\\n\\t\\t\\t\\ttemps=new_temperature,\\n\\t\\t\\t\\ttime=from_node.time + self.interval\\n\\t\\t\\t)\\n\\n\\t\\t\\t# calculate interval costs\\n\\t\\t\\tdemand_balancer = (((self.target - self.get_real_time(from_node.time/self.interval)).total_seconds() / 60) / self.billing_period)\\n\\t\\t\\tinterval_usage_cost = sum(consumption) + self.interval_usage[int(from_node.time/self.interval)]\\n\\t\\t\\tinterval_demand = self.interval_demand[int(from_node.time/self.interval)]\\n\\n\\t\\t\\t#calculate interval discomfort\\n\\t\\t\\tdiscomfort = [0] * self.noZones\\n\\n\\t\\t\\tfor i in range(self.noZones):\\n\\t\\t\\t\\tdiscomfort[i] = self.disc.disc(new_temperature[i], self.occ.occ(from_node.time/self.interval), from_node.time)\\n\\n\\t\\t\\t# create node if the new node is not allready in graph\\n\\t\\t\\t# recursively run shortest path for the new node\\n\\t\\t\\tif new_node not in self.g:\\n\\t\\t\\t\\tself.g.add_node(new_node, usage_cost=np.inf, best_action=None, max_demand=np.inf)\\n\\t\\t\\t\\tself.shortest_path(new_node)\\n\\n\\t\\t\\t# calculate path costs\\n\\t\\t\\tthis_path_demand = max(self.g.node[new_node]['max_demand'], interval_demand)\\n\\t\\t\\tthis_path_demand_cost = demand_balancer * this_path_demand\\n\\n\\t\\t\\tinterval_overall_cost = ((1 - self.l) * (interval_usage_cost + this_path_demand_cost)) + (self.l * (sum(discomfort)))\\n\\n\\t\\t\\tthis_path_cost = self.g.node[new_node]['usage_cost'] + interval_overall_cost\\n\\n\\t\\t\\t# add the edge connecting this state to the previous\\n\\t\\t\\tself.g.add_edge(from_node, new_node, action=action)\\n\\n\\t\\t\\t# choose the shortest path\\n\\t\\t\\tif this_path_cost <= self.g.node[from_node]['usage_cost']:\\n\\t\\t\\t\\tif this_path_cost == self.g.node[from_node]['usage_cost'] and self.g.node[from_node]['best_action'] == '0':\\n\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tself.g.add_node(from_node, best_action=new_node, usage_cost=this_path_cost, max_demand=this_path_demand)\",\n \"def shortest_path(self, source, target):\\r\\n key = self.d.keys()\\r\\n #check that endpoints are in graph\\r\\n if source not in key or target not in key:\\r\\n raise KeyError(str(source) + \\\" and \\\" + str(target) + \\\" must be in graph\\\")\\r\\n #initialize V,Q and M\\r\\n V = []\\r\\n vis = dict()\\r\\n Q = deque()\\r\\n Q.append(source)\\r\\n M = set(source)\\r\\n #while target has not been visited\\r\\n while target not in M:\\r\\n #take first element of Q\\r\\n current = Q.popleft()\\r\\n #add element to visited\\r\\n V.append(current)\\r\\n neighbors = self.d[current]\\r\\n #for each neighbor of element\\r\\n for n in neighbors:\\r\\n #if element has not been checked, add it to queue\\r\\n #also save traveled edge in visited\\r\\n if n not in M:\\r\\n Q.append(n)\\r\\n vis.update({n:current})\\r\\n M.add(n)\\r\\n L = [target]\\r\\n #reverse the order of the traveled edges\\r\\n while L[-1] in vis.keys():\\r\\n L.append(vis[L[-1]])\\r\\n return L[::-1]\",\n \"def dijsktra(graph, initial, end):\\n shortest_paths = {initial: (None, 0)}\\n current_node = initial\\n visited = set()\\n\\n while current_node != end:\\n visited.add(current_node)\\n destinations = graph.edges[current_node]\\n weight_to_current_node = shortest_paths[current_node][1]\\n logger.debug(\\\"shortest_paths = {}\\\".format(shortest_paths))\\n\\n for next_node in destinations:\\n weight = graph.weights[(current_node, next_node)] + weight_to_current_node\\n logger.debug(\\\"next_node = {}\\\".format(next_node))\\n logger.debug(\\\"graph.weights[(current_node, next_node)] = {}\\\".format(graph.weights[(current_node, next_node)]))\\n logger.debug(\\\"weight_to_current_node = {}\\\".format(weight_to_current_node))\\n logger.debug(\\\"weight = {}\\\".format(weight))\\n if next_node not in shortest_paths:\\n shortest_paths[next_node] = (current_node, weight)\\n else:\\n current_shortest_weight = shortest_paths[next_node][1]\\n if current_shortest_weight > weight:\\n shortest_paths[next_node] = (current_node, weight)\\n\\n next_destinations = {node: shortest_paths[node] for node in shortest_paths if node not in visited}\\n logger.debug(\\\"next_destinations = {}\\\".format(next_destinations))\\n\\n if not next_destinations:\\n return \\\"Route not possible\\\"\\n\\n current_node = min(next_destinations, key=lambda k: next_destinations[k][1])\\n logger.debug(\\\"current_node = {}\\\".format(current_node))\\n\\n path = []\\n while current_node is not None:\\n path.append(current_node)\\n next_node = shortest_paths[current_node][0]\\n current_node = next_node\\n\\n # Reverse the path\\n path = path[::-1]\\n return path\",\n \"def dijkstras(graph_list, start):\\n # for returning\\n shortest_dist = dict()\\n shortest_parent = dict()\\n\\n # create an adjacency list from the graph definition, and a dict for keeping track of parents\\n graph = {} # our adjacency list dict\\n parent = {} # our parents dict\\n\\n for fr, to, w in graph_list:\\n if fr not in graph:\\n graph[fr] = [(to, w)]\\n else:\\n graph[fr].append((to, w))\\n\\n if fr not in parent:\\n parent[fr] = None\\n if to not in parent:\\n parent[to] = None\\n\\n # in this implementation of dijkstras, we keep track of a list of visited nodes in order to use a heap as-is,\\n # without having to modify the heap's weights\\n visited = set()\\n heap = [(0, start, None)] # distance, node, parent\\n\\n while heap:\\n curr_dist, node, par = heapq.heappop(heap)\\n\\n # only visit this node if it's not visited yet. The first time we visit a node, because of the heap, it's\\n # guaranteed that it's the shortest path\\n if node not in visited:\\n # visit this node\\n visited.add(node)\\n\\n # update shortest dict and parent dict\\n shortest_dist[node] = curr_dist\\n parent[node] = par\\n\\n # we won't visit this node again, so compute the parent list here\\n curr_parent_list = []\\n pnode = node\\n # work out shortest parent\\n while pnode:\\n curr_parent_list.append(pnode)\\n pnode = parent[pnode]\\n shortest_parent[node] = curr_parent_list[::-1]\\n\\n # add adjacent nodes if they haven't been visited\\n if node in graph:\\n for to, w in graph[node]:\\n if to not in visited:\\n heapq.heappush(heap, (curr_dist + w, to, node))\\n\\n print(shortest_dist)\\n print(shortest_parent)\",\n \"def shortJourney(Alist,s,d):\\n \\\"\\\"\\\"Find shortest distances to s in weighted graph, G\\\"\\\"\\\"\\n \\n #Initialize dictionaries\\n dinit = 10**6\\n Edict = {} #Explored nodes\\n Udict = {} #Unexplored nodes\\n path = [[] for l in Alist]\\n\\n Alen = len(Alist) #length of Alist\\n dinits = [dinit]*Alen #list of airport indexes\\n Udict = dict(zip(list(range(Alen)),dinits)) #zip into dictionary\\n Udict[s] = 0\\n path[s] = [s]\\n \\n #Main search\\n while len(Udict)>0:\\n #Find node with min d in Udict and move to Edict\\n dmin = dinit\\n for n,w in Udict.items():\\n if w<dmin:\\n dmin=w\\n nmin=n\\n Edict[nmin] = Udict.pop(nmin)\\n print(\\\"moved node\\\", nmin)\\n\\n #Update provisional distances for unexplored neighbors of nmin \\n for item in Alist[nmin]: #nminth element is a list of two element tuples (node, weight)\\n n = item[0] #first elt of tuple is node/neighbour\\n w = item[1] #2nd elt is density/weigh\\n #for n,w in etc_______________________-\\n \\n if n in Edict:\\n pass\\n elif n in Udict:\\n #key difference below\\n dcomp = (w+dmin) #take sum as you go along\\n if dcomp<Udict[n]:\\n print(Udict)\\n Udict[n]=dcomp\\n path[n] = path[nmin] + [n]\\n print(path) \\n if nmin == d: #if current node is destination\\n return [path[d],Edict[d]]\\n return [] #no path\",\n \"def shortest_path(graph, src, dest, modifiers):\\r\\n # Distances to source node\\r\\n distances = {vertex: float(\\\"inf\\\") for vertex in range(graph.num_vertices)}\\r\\n # Previous node in optimal path\\r\\n previous = {vertex: -1 for vertex in range(graph.num_vertices)}\\r\\n # Shortest path from source to source is 0\\r\\n distances[src] = 0\\r\\n # Initialize priority queue and vertex set\\r\\n pqueue = [(distances[src], src)]\\r\\n vertex_set = {src}\\r\\n\\r\\n while len(pqueue) != 0:\\r\\n vertex_added = False\\r\\n curr = heappop(pqueue)[1]\\r\\n vertex_set.remove(curr)\\r\\n for neighbor in graph.outgoing(curr):\\r\\n alt = distances[curr] + weight(neighbor, modifiers)\\r\\n other = neighbor.other(curr) # Opposite vertex\\r\\n if alt < distances[other]:\\r\\n distances[other] = alt\\r\\n previous[other] = curr\\r\\n if other not in vertex_set:\\r\\n vertex_added = True\\r\\n pqueue.append((alt, other))\\r\\n vertex_set.add(other)\\r\\n if vertex_added:\\r\\n heapify(pqueue)\\r\\n\\r\\n # Shortest path\\r\\n shortest_path = []\\r\\n shortest_path_distance = distances[dest]\\r\\n\\r\\n # Traverse previous[] to look for shortest path to target\\r\\n current_node = dest\\r\\n while previous[current_node] != -1:\\r\\n shortest_path.append(current_node)\\r\\n current_node = previous[current_node]\\r\\n if len(shortest_path) != 0:\\r\\n shortest_path.append(current_node)\\r\\n shortest_path.reverse()\\r\\n\\r\\n return shortest_path, shortest_path_distance\",\n \"def shortestpaths(self, start, end, edgeweight=\\\"t_0\\\"):\\n graph = self.graph\\n shortest_nodepaths = list(\\n nx.all_shortest_paths(\\n graph, start, end, weight=edgeweight, method=\\\"dijkstra\\\"\\n )\\n )\\n shortest_paths = []\\n for path in shortest_nodepaths:\\n edgepath = []\\n for i in range(len(path) - 1):\\n edgepath.append((path[i], path[i + 1]))\\n shortest_paths.append(edgepath)\\n\\n return shortest_paths\",\n \"def dijkstra_shortest_path(grid_obs, source, dest):\\n #------------------------------------\\n #\\n # Fill and submit this code\\n #\\n predecessors = {source: float('inf')}\\n visited_blocks = {source: 0}\\n queue = PQ()\\n queue.__setitem__(source, 0)\\n goodIndices = []\\n\\n print len(grid_obs)\\n\\n for index in range(len(grid_obs)):\\n if grid_obs[index] != \\\"air\\\":\\n goodIndices.append(index)\\n\\n for index in goodIndices:\\n if index != source:\\n visited_blocks[index] = float('inf')\\n\\n while queue:\\n blocks_to_go = []\\n current_position = queue.smallest()\\n del queue[current_position]\\n\\n for difference in [-81, -1, 1, 81]:\\n if (current_position + difference) in goodIndices:\\n blocks_to_go.append(current_position + difference)\\n\\n for block_Index in blocks_to_go:\\n gap = visited_blocks[current_position] + 1\\n if gap < visited_blocks[block_Index]:\\n visited_blocks[block_Index] = gap\\n predecessors[block_Index] = current_position\\n queue.__setitem__(block_Index, gap)\\n\\n shortest_paths = []\\n while dest != source:\\n shortest_paths.append(dest)\\n dest = predecessors[dest]\\n shortest_paths.append(source)\\n shortest_paths.reverse()\\n\\n return shortest_paths\\n #-------------------------------------\",\n \"def dijkstra_heap(graph, source_vertex):\\n x = set()\\n heap = []\\n shortest_key = {source_vertex: 0}\\n heapq.heappush(heap, (0, source_vertex))\\n\\n for v in graph.keys():\\n if v != source_vertex:\\n shortest_key[v] = float('inf')\\n heapq.heappush(heap, (float('inf'), v))\\n\\n while heap:\\n length_w, w = heapq.heappop(heap)\\n x.add(w)\\n for y in graph[w].dist.keys():\\n idx_to_remove = search_vertex(heap, y)\\n\\n #################################################################################\\n ### Since the graph given it not strictly directive ###\\n ### idx_to_remove is None only if it comes from the opposite direction ###\\n ### e.g. 1 -> 8 (already processed), but in future, we have to process 8 -> 1 ###\\n #################################################################################\\n if idx_to_remove is None:\\n continue\\n #################################################################################\\n # Swap the index to be remove to the last and remove it\\n heap[idx_to_remove], heap[-1] = heap[-1], heap[idx_to_remove]\\n length_y, y = heap.pop()\\n\\n # Calculate the new length (dijkstra score)\\n new_length_y = min(length_y, length_w + graph[w].dist[y])\\n heapq.heappush(heap, (new_length_y, y))\\n\\n # Maintaining the heap invariant\\n heapq.heapify(heap)\\n\\n # Update shortest_key\\n shortest_key[y] = new_length_y\\n\\n return [shortest_key[i] for i in NEXT_TO_VERTICES]\",\n \"def dijkstra(start, vertex_list, line_list, vertex_labels, polygons):\\n # create stack Q with all vertices including the arbitrary starting point\\n Q = {**vertex_labels}\\n Q[0] = start\\n vertex_labels_with_start = {**Q}\\n dist = {}\\n prev = {}\\n for key, val in Q.items():\\n dist[key] = 1e10\\n prev[key] = None\\n # start has zero distance to itself\\n dist[0] = 0\\n while Q:\\n min_ = 1e10\\n curr_vertex = None\\n # simulates priority queue (min heap) with for loop\\n for v in Q.keys():\\n if dist[v] < min_:\\n curr_vertex = v\\n min_ = dist[v]\\n # curr_vertex = min(dist, key=dist.get)\\n if curr_vertex is None:\\n print(\\\"Target cannot be reached!\\\")\\n break\\n Q.pop(curr_vertex)\\n invalid_point = False\\n for poly in polygons:\\n if inside_polygon(vertex_labels_with_start[curr_vertex], poly):\\n invalid_point = True\\n break\\n if invalid_point:\\n continue\\n if curr_vertex == len(vertex_list):\\n break\\n _, vis_labels = visibility_graph(vertex_labels_with_start[curr_vertex], vertex_list, line_list)\\n # Just implement dijkstra - need a way to mark vertices with labels\\n for elem in vis_labels:\\n if elem in Q:\\n alt = dist[curr_vertex] + np.sqrt(len2((diff_(vertex_labels_with_start[curr_vertex],\\n vertex_labels_with_start[elem]))))\\n if alt < dist[elem]:\\n dist[elem] = alt\\n prev[elem] = curr_vertex\\n return dist, prev\",\n \"def min_path(vs, es, source, target):\\n dijkstra(vs, es, source, stop = target)\\n test = target\\n result = []\\n while test != source:\\n e = test._ss_edge\\n result.append(e)\\n test = e.v1 if e.v1 != test else e.v2\\n assert test == source and test._ss_edge is None\\n return result[::-1]\",\n \"def dijkstra(graph, src, dest):\\n\\n distances = {}\\n predecessors = {}\\n Q = {}\\n\\n # a few sanity checks\\n if src not in graph:\\n raise TypeError(\\\"The root of the shortest path tree cannot be found\\\")\\n if dest not in graph:\\n raise TypeError(\\\"The target of the shortest path cannot be found\\\")\\n for v in graph:\\n distances[v] = float(\\\"inf\\\")\\n predecessors[v] = None\\n Q[v] = float(\\\"inf\\\")\\n\\n distances[src] = 0\\n Q[src] = 0\\n\\n while Q:\\n u = min(Q, key=Q.get)\\n\\n del Q[u]\\n\\n for neighbor in graph[u]:\\n\\n if neighbor in Q:\\n\\n new_distance = distances[u] + graph[u][neighbor]\\n if new_distance < distances.get(neighbor):\\n distances[neighbor] = new_distance\\n Q[neighbor] = new_distance\\n predecessors[neighbor] = u\\n return (distances, predecessors)\",\n \"def k_shortest_paths(\\n self,\\n G,\\n source,\\n target,\\n k=1,\\n weight='weight',\\n ):\\n\\n if source == target:\\n return ([0], [[source]])\\n\\n (length, path) = nx.single_source_dijkstra(G, source, target,\\n weight=weight)\\n if target not in length:\\n raise nx.NetworkXNoPath('node %s not reachable from %s' % (source,\\n target))\\n\\n lengths = [length[target]]\\n paths = [path[target]]\\n c = count()\\n B = []\\n\\n # Is deep copy really required?\\n # Fails due to embedded Ctype objects which can not be pickled\\n # # G_original = G.copy()\\n # Swapping with shallow copy...will it work?\\n\\n G_original = G\\n if nx.is_directed(G_original):\\n G = nx.DiGraph(G_original)\\n else:\\n G = nx.Graph(G_original)\\n\\n ######################################\\n #TODO: wrap this up somehow\\n print ''\\n print term.move_up + term.move_up\\n ######################################\\n print 'getting K:{} paths...'.format(k),\\n for i in range(1, k):\\n with term.location():\\n print i\\n for j in range(len(paths[-1]) - 1):\\n spur_node = paths[-1][j]\\n root_path = (paths[-1])[:j + 1]\\n\\n edges_removed = []\\n for c_path in paths:\\n if len(c_path) > j and root_path == c_path[:j + 1]:\\n u = c_path[j]\\n v = c_path[j + 1]\\n if G.has_edge(u, v):\\n edge_attr = G.edge[u][v]\\n G.remove_edge(u, v)\\n edges_removed.append((u, v, edge_attr))\\n\\n for n in range(len(root_path) - 1):\\n node = root_path[n]\\n\\n # out-edges\\n\\n for (u, v, edge_attr) in G.edges_iter(node, data=True):\\n\\n # print 'lala1: {} -> {}'.format(u,v)\\n\\n G.remove_edge(u, v)\\n edges_removed.append((u, v, edge_attr))\\n\\n if G.is_directed():\\n\\n # in-edges\\n\\n for (u, v, edge_attr) in G.in_edges_iter(node,\\n data=True):\\n\\n # print 'lala2: {} -> {}'.format(u,v)\\n\\n G.remove_edge(u, v)\\n edges_removed.append((u, v, edge_attr))\\n\\n (spur_path_length, spur_path) = nx.single_source_dijkstra(G,\\n spur_node, target, weight=weight)\\n if target in spur_path and spur_path[target]:\\n total_path = root_path[:-1] + spur_path[target]\\n total_path_length = self.get_path_length(G_original,\\n root_path, weight) + spur_path_length[target]\\n heappush(B, (total_path_length, next(c), total_path))\\n\\n for e in edges_removed:\\n (u, v, edge_attr) = e\\n G.add_edge(u, v, edge_attr)\\n\\n if B:\\n (l, _, p) = heappop(B)\\n lengths.append(l)\\n paths.append(p)\\n else:\\n break\\n\\n return (lengths, paths)\",\n \"def dijkstra(edges):\\n\\n # Initializing heap\\n minimizingCandidateEdges = Heap(1 * len(edges), 4)\\n\\n # No vertices in candidate edges heap initially\\n verticesInCurrentHeap = []\\n\\n # Initiaizing vertices in current heap with potential candidates from\\n # source vertex initially\\n for directedEdge in edges:\\n # From conquered(start vertex) to unconquered territory\\n # (all expect start vertex)\\n if (directedEdge.startVertex == startVertex) and (directedEdge.endVertex != startVertex):\\n verticesInCurrentHeap.append(directedEdge.endVertex)\\n dijkstraCriterion = distances[ directedEdge.startVertex ] + directedEdge.edgeWeight\\n directedEdge.setDijkstraCriterion(dijkstraCriterion)\\n minimizingCandidateEdges.insertElement( directedEdge, minimizingCandidateEdges.getI() )\\n else:\\n continue\\n\\n # Variable to keep track of last removed vertex\\n lastRemovedVertex = None\\n\\n # While all vertices are not conquered\\n while len(visitedVertices) != noOfVertices:\\n\\n # Getting minimum candidate edge from heap\\n minimumDijkstraCriterionEdge = minimizingCandidateEdges.extractMinimum()\\n # Updating minimum distance in distances answer accordingly\\n distances[ minimumDijkstraCriterionEdge.endVertex ] = minimumDijkstraCriterionEdge.dijkstraCriterion\\n # Removing that edge\\n minimizingCandidateEdges.removeMinimum()\\n\\n # Keeping track of indices to remove due to that edge\\n indicesToRemove = []\\n for i in range(minimizingCandidateEdges.i):\\n edge = minimizingCandidateEdges.heap[i]\\n # Continue if \\\"NaN\\\"\\n if type(edge) == str:\\n continue\\n # Remove if this condition holds true\\n if edge.endVertex == minimumDijkstraCriterionEdge.endVertex:\\n indicesToRemove.append(i)\\n\\n # Removing all those edges from heap\\n for i in indicesToRemove:\\n minimizingCandidateEdges.removeMinimum(i)\\n\\n # Updating last removed vertex, conquered territory, unconquered\\n # territory and vertices in current heap\\n lastRemovedVertex = minimumDijkstraCriterionEdge.endVertex\\n visitedVertices.append(lastRemovedVertex)\\n notVisitedVertices.remove(lastRemovedVertex)\\n verticesInCurrentHeap.remove(lastRemovedVertex)\\n\\n # Updating heap edges and adding new potential edges\\n for directedEdge in edges:\\n\\n # From last removed vertex to unconquered territory\\n if (directedEdge.startVertex == lastRemovedVertex) and (directedEdge.endVertex in notVisitedVertices):\\n\\n # Required variables\\n flag = True\\n earlierDijkstraCriterion = None\\n newDijkstraCriterion = None\\n\\n # If not in heap, then add edge\\n if (directedEdge.endVertex not in verticesInCurrentHeap):\\n\\n verticesInCurrentHeap.append(directedEdge.endVertex)\\n dijkstraCriterion = distances[ directedEdge.startVertex ] + directedEdge.edgeWeight\\n directedEdge.setDijkstraCriterion(dijkstraCriterion)\\n minimizingCandidateEdges.insertElement( directedEdge, minimizingCandidateEdges.getI() )\\n\\n # Else if present in heap, check for current dijkstra\\n # criterion and new dijkstra criterion, update if\\n # required\\n else:\\n\\n # New possible dijkstra criterion\\n newDijkstraCriterion = distances[ directedEdge.startVertex ] + directedEdge.edgeWeight\\n removeIndex = None\\n\\n # Getting earlier dijkstra edge and its older criterion\\n for i in range(minimizingCandidateEdges.i):\\n edge = minimizingCandidateEdges.heap[i]\\n if type(edge) == str:\\n continue\\n if edge.endVertex == directedEdge.endVertex:\\n earlierDijkstraCriterion = edge.dijkstraCriterion\\n removeIndex = i\\n break\\n\\n # If found such an index\\n if removeIndex != None:\\n\\n # Update if new dijkstra criterion is lesser than\\n # older one\\n if newDijkstraCriterion < earlierDijkstraCriterion:\\n minimizingCandidateEdges.removeMinimum(removeIndex)\\n directedEdge.setDijkstraCriterion(newDijkstraCriterion)\\n minimizingCandidateEdges.insertElement(directedEdge, minimizingCandidateEdges.getI())\\n\\n # Else if not found such an index\\n else:\\n # If earlier dijkstra criterion is none, that is the\\n # edge doesn't exist in heap, then add the edge\\n if earlierDijkstraCriterion == None:\\n directedEdge.setDijkstraCriterion(newDijkstraCriterion)\\n minimizingCandidateEdges.insertElement(directedEdge, minimizingCandidateEdges.getI())\\n\\n # If earlier dijkstra criterion is smaller and the\\n # edge doesn't exist in heap, then add the edge\\n elif newDijkstraCriterion > earlierDijkstraCriterion:\\n directedEdge.setDijkstraCriterion(earlierDijkstraCriterion)\\n minimizingCandidateEdges.insertElement(directedEdge, minimizingCandidateEdges.getI())\",\n \"def bellman_fords_shortest_path(graph: Graph[T], source_vertex_data: T) -> \\\\\\n Tuple[bool, Dict[Vertex[T], int], Dict[Vertex[T], Vertex[T]]]:\\n\\n vertex_distance_mapping: Dict[Vertex[T], int] = defaultdict(lambda: maxsize) # vertex_weight_mapping\\n vertex_parent_mapping: Dict[Vertex[T], Vertex[T]] = dict()\\n source_vertex: Vertex[T] = graph.get_vertex(source_vertex_data)\\n\\n vertex_distance_mapping[source_vertex] = 0\\n vertex_parent_mapping[source_vertex] = None\\n\\n # Relax all the edges (V-1)th time.\\n # Why (V-1) times? - https://www.youtube.com/watch?v=-mOEd_3gTK0&feature=youtu.be&list=PLrmLmBdmIlpu2f2g8ltqaaCZiq6GJvl1j&t=785\\n for i in range(0, len(graph.vertices)-1): # run it (V-1) times... for i=0: i<(V-1); i++\\n relax_edges(graph.edges, vertex_distance_mapping, vertex_parent_mapping)\\n\\n # Relax all the edges for one more time(Vth time) to check if there is any -ve weight cycle present.\\n has_negative_weight_cycle: bool = relax_edges(graph.edges, vertex_distance_mapping, vertex_parent_mapping,\\n check_negative_weight_cycle=True)\\n if has_negative_weight_cycle:\\n return has_negative_weight_cycle, dict(), dict()\\n\\n return has_negative_weight_cycle, vertex_distance_mapping, vertex_parent_mapping\",\n \"def connecting_graph(self, solution_graph, weight='cost', ignore_sources=False):\\n debut = time.time()\\n self.logger.info('start connecting graph')\\n\\n # we need an undirected graph\\n undirected_solution_graph = solution_graph.to_undirected()\\n\\n if self.old_network_graph is not None and self.modify_old_network:\\n undirected_solution_graph = nx.compose(nx.MultiGraph(self.old_network_graph), undirected_solution_graph)\\n\\n # if already connected\\n if nx.is_connected(undirected_solution_graph) == True:\\n self.logger.info(\\\"the solution graph is already connected\\\")\\n return []\\n\\n # Computing the minimum sources in each component and all junction nodes in the solution graph\\n nodetype = nx.get_node_attributes(undirected_solution_graph, config.NODE_TYPE_KEY)\\n list_sources = [node for node in nodetype if nodetype[node] == config.SUPPLY_NODE_TYPE]\\n\\n # 1. Search of all connected subgraphs\\n if not ignore_sources:\\n reduced_list_sources = []\\n while len(list_sources) > 0:\\n source, is_isolated = list_sources.pop(0), True\\n for i in range(len(list_sources)):\\n is_isolated = is_isolated and not (nx.has_path(undirected_solution_graph, source, list_sources[i]))\\n if is_isolated:\\n reduced_list_sources.append(source)\\n else:\\n reduced_list_sources = [list(n)[0] for n in nx.connected_components(undirected_solution_graph)]\\n\\n # 2. Creation of all convex hulls for each source in reduced_list_sources\\n hulls = {}\\n for source in reduced_list_sources:\\n coord_compo = {}\\n nodes_connecting_source = nx.node_connected_component(undirected_solution_graph, source)\\n for node in nodes_connecting_source:\\n xy = tuple(self.optimization_graph.get_node_coordinates(node))\\n coord_compo[xy] = node\\n if len(coord_compo) > 2:\\n convexhull = ConvexHull(list(coord_compo.keys())).points\\n else:\\n convexhull = list(coord_compo.keys())\\n hulls[source] = [coord_compo[tuple(coord)] for coord in convexhull]\\n\\n # 3. Create list of possible list_edges_to_add\\n list_edges_to_add = {} # list of {(S1, S2):(length_of_SP, edges_to_add)}\\n\\n for S1, S2 in combinations(reduced_list_sources, 2):\\n\\n # change weight of edges\\n for i in range(len(hulls[S1])-1):\\n u,v = hulls[S1][i], hulls[S1][i+1]\\n self.optimization_graph.add_edge(u,v,key=-1,weight=0)\\n self.optimization_graph.add_edge(hulls[S1][-1],hulls[S1][0],key=-1,weight=0)\\n for i in range(len(hulls[S2])-1):\\n u,v = hulls[S2][i], hulls[S2][i+1]\\n self.optimization_graph.add_edge(u,v,key=-1,weight=0)\\n self.optimization_graph.add_edge(hulls[S2][-1],hulls[S2][0],key=-1,weight=0)\\n\\n # find the shortest path\\n source, target = hulls[S1][0], hulls[S2][0] # it's a choice to take 0, but no matter\\n try:\\n length, path = nx.single_source_dijkstra(self.optimization_graph, source, target=target, weight=weight)\\n except nx.NetworkXNoPath:\\n self.logger.info(\\\"Source \\\" + str(S1) + \\\" and source \\\" + str(S2) + \\\" can't be connected\\\")\\n return []\\n list_weights = nx.get_edge_attributes(self.optimization_graph, weight)\\n\\n # edges to add to connect S1 and S2\\n edges_to_add = []\\n for i in range(len(path) - 1):\\n u, v = path[i], path[i + 1]\\n # if the edge between (u,v) is not artificial, we add it\\n if list_weights.get((u, v, -1), None) != 0 and list_weights.get((u, v, 0), None) is not None:\\n edges_to_add.append((u, v, 0))\\n if list_weights.get((v, u, -1), None) != 0 and list_weights.get((v, u, 0), None) is not None:\\n edges_to_add.append((v, u, 0))\\n list_edges_to_add[(S1, S2)] = (length, edges_to_add)\\n\\n # change weight of edges\\n for i in range(len(hulls[S1])-1):\\n u,v = hulls[S1][i], hulls[S1][i+1]\\n self.optimization_graph.remove_edge(u,v,key=-1)\\n self.optimization_graph.remove_edge(hulls[S1][-1],hulls[S1][0],key=-1)\\n for i in range(len(hulls[S2])-1):\\n u,v = hulls[S2][i], hulls[S2][i+1]\\n self.optimization_graph.remove_edge(u,v,key=-1)\\n self.optimization_graph.remove_edge(hulls[S2][-1],hulls[S2][0],key=-1)\\n\\n\\n # 4. choice of best edges to add (Kruskal)\\n G = nx.Graph()\\n for (S1, S2) in list_edges_to_add:\\n (length, _) = list_edges_to_add[(S1, S2)]\\n if not G.has_node(S1):\\n G.add_node(S1)\\n if not G.has_node(S2):\\n G.add_node(S2)\\n G.add_edge(S1, S2, weight=length)\\n\\n reduced_list_edges_to_add = set()\\n T = nx.minimum_spanning_tree(G)\\n for u, v in T.edges:\\n if (u, v) in list_edges_to_add:\\n reduced_list_edges_to_add = reduced_list_edges_to_add.union(set(list_edges_to_add[(u, v)][1]))\\n if (v, u) in list_edges_to_add:\\n reduced_list_edges_to_add = reduced_list_edges_to_add.union(set(list_edges_to_add[(v, u)][1]))\\n\\n self.logger.info('end connecting graph in ' + str(time.time() - debut) + ' s')\\n return list(reduced_list_edges_to_add)\",\n \"def BreadthFirstSearch(graph, source):\\r\\n \\r\\n # Dictionary dataInfo will be used to store the information about each vertex. (Ancestors, descendants, distance from source, and color)\\r\\n dataInfo = {} \\r\\n \\r\\n # List queue will be used to store the vertices currently in the queue, these vertices will all be gray.\\r\\n queue = []\\r\\n \\r\\n # Loops through the vertices in the graph, creates a key in the dictionary for each vertice, with default values.\\r\\n for vertex in graph[\\\"V\\\"]:\\r\\n dataInfo[str(vertex)] = {\\\"ancestor\\\": \\\"\\\", \\\"descendants\\\": [], \\\"distance\\\": \\\"\\\", \\\"color\\\": \\\"white\\\"}\\r\\n \\r\\n # At key source (variable) in dataInfo dictionary, key ancestor is set to have no value other than \\\"NA\\\" (as it is the starting point), and distance to 0 (as it will always be zero as it is the source).\\r\\n dataInfo[str(source)][\\\"ancestor\\\"] = \\\"NA\\\"\\r\\n dataInfo[str(source)][\\\"distance\\\"] = 0\\r\\n\\r\\n def symmetricVertex(edge, otherVertex):\\r\\n \\r\\n \\\"\\\"\\\"\\r\\n Function symmetricVertex takes arguments edge, a list of an edge from the graph dictionary, and otherVertex, an integer that is the other vertex in the edge with the sourceVertex. The function will return the point other than the otherVertex, and will be used to find adjacent vertices relative to the current vertex in the queue. Example: edge ([1, 2]), otherVertex (1), the function will return 2.\\r\\n \\\"\\\"\\\"\\r\\n \\r\\n for num in edge:\\r\\n if num != otherVertex:\\r\\n return num\\r\\n \\r\\n\\r\\n def pathFinder(graph, sourceVertex):\\r\\n \\r\\n \\\"\\\"\\\"\\r\\n Function pathFinder takes arguments graph, a dictionary, with the same keys for the edges and the vertices and sourceVertex, an integer. The function will loop through all of the edges in the graph and find adjacent vertices relative to the current sourceVertex. sourceVertex values will be in the queue. The function will edit dictionaries and lists, not return any value.\\r\\n \\\"\\\"\\\"\\r\\n \\r\\n # List removeEdges will be used to store the edges that will be removed from the graph dictionary after the loop ends. Makes the code more efficient, as you don't want to loop through a million vertices every time, now do you?\\r\\n removeEdges = []\\r\\n \\r\\n # Loop through edges in the graph, will be used to find adjacent vertices.\\r\\n for edge in graph[\\\"E\\\"]:\\r\\n \\r\\n # If the sourceVertex is in the edge and the edge is not discovered yet, then edit and change values in the main dictionary, dataInfo.\\r\\n if (sourceVertex in edge) and (dataInfo[str(symmetricVertex(edge, sourceVertex))] != \\\"gray\\\"):\\r\\n otherVertex = symmetricVertex(edge, sourceVertex)\\r\\n \\r\\n # Adds variable otherVertex to the descendants of the sourceVertex.\\r\\n dataInfo[str(sourceVertex)][\\\"descendants\\\"].append(otherVertex)\\r\\n \\r\\n # Updates key(otherVertex) to correct values. Ancestor is always the sourceVertex, the distance is always the distance of sourceVertex incremented by one, and the color is updated to gray as it is added to the queue.\\r\\n dataInfo[str(otherVertex)] = {\\\"ancestor\\\": sourceVertex, \\\"descendants\\\": [], \\\"distance\\\": (dataInfo[str(sourceVertex)][\\\"distance\\\"] + 1), \\\"color\\\": \\\"gray\\\"}\\r\\n \\r\\n # Edge includes two discovered edges, so it will be removed to stop redundancy. It is added to the removeEdges list.\\r\\n removeEdges.append(edge)\\r\\n \\r\\n # Appends the discovered vertex to the queue.\\r\\n queue.append(otherVertex)\\r\\n \\r\\n # After the loop ends, the edges that contain the source vertex have been exhausted, so the color is updated to black.\\r\\n dataInfo[str(sourceVertex)][\\\"color\\\"] = \\\"black\\\" \\r\\n \\r\\n # If the sourceVertex is in the queue, it is removed, as all of the edges containing it have been exhausted.\\r\\n if sourceVertex in queue:\\r\\n queue.remove(sourceVertex)\\r\\n \\r\\n # Loop through the edges in the removeEdges list, each edge will be removed.\\r\\n for edge in removeEdges:\\r\\n graph[\\\"E\\\"].remove(edge)\\r\\n \\r\\n # The function pathFinder is called on the graph and the source vertex, which sets up the queue.\\r\\n pathFinder(graph, source)\\r\\n \\r\\n # While the list queue contains values, the pathFinder function is called on the graph, and the queue value at index 0.\\r\\n while len(queue) != 0:\\r\\n pathFinder(graph, queue[0])\\r\\n \\r\\n # Loop below is for formatting of the data, makes it easier to read.\\r\\n for key in dataInfo:\\r\\n print \\\"Vertex: \\\" + key + \\\", Distance: \\\" + str(dataInfo[key][\\\"distance\\\"]) + \\\", Ancestor: \\\" + str(dataInfo[key][\\\"ancestor\\\"]) + \\\", Descendants: \\\" + str(dataInfo[key][\\\"descendants\\\"]) + \\\", Color: \\\" + str(dataInfo[key][\\\"color\\\"]) + \\\".\\\" \\r\\n \\r\\n # Returns dictionary dataInfo.\\r\\n return dataInfo\",\n \"def shortest_path(self, id1: int, id2: int) -> (float, list):\\n\\n if id1 == id2:\\n return 0, [id1]\\n if id1 not in self.dw_graph.nodes or id2 not in self.dw_graph.nodes:\\n return math.inf, []\\n\\n for n in self.dw_graph.get_all_v().values(): # Set all distance to be max value.\\n if n.node_id != id1:\\n n.distance = sys.maxsize\\n n.visited = 0\\n path = []\\n min_heap=[]\\n self.dw_graph.nodes[id1].distance = 0\\n heapq.heappush(min_heap,(self.dw_graph.nodes[id1].distance,self.dw_graph.nodes[id1]))\\n\\n while len(min_heap):\\n node = heapq.heappop(min_heap) # pop the smallest item\\n current = node[1] # Get node from tuples\\n current.visited = 1 # Set the node to visited\\n\\n for neighbour in self.dw_graph.all_out_edges_of_node(current.node_id).values(): # Get neighbours\\n if self.dw_graph.nodes[neighbour.dest].visited == 0: # if we didn't visit this neighbour\\n new_dist = current.distance + neighbour.weight # Set new distance\\n\\n if self.dw_graph.nodes[neighbour.dest].distance > new_dist: # If new distance is smaller , update it.\\n self.dw_graph.nodes[neighbour.dest].distance = new_dist\\n\\n heapq.heappush(min_heap,(self.dw_graph.nodes[neighbour.dest].distance,\\n self.dw_graph.nodes[neighbour.dest])) # add to priority queue\\n self.dw_graph.nodes[neighbour.dest].parent = current.node_id # Update parent\\n\\n if self.dw_graph.nodes[id2].distance == sys.maxsize: # if the distance is still max value , can't reach\\n return math.inf, []\\n\\n\\n path.append(id2)\\n current = self.dw_graph.nodes[id2].parent\\n self.dw_graph.nodes[id1].parent=-1\\n while current != -1: # Traverse backwards until parent is -1\\n path.append(current)\\n current = self.dw_graph.nodes[current].parent\\n path.reverse()\\n return self.dw_graph.nodes[id2].distance, path\",\n \"def dijkstra_search(graph, initial_node, dest_node):\\n return queue_search(graph, initial_node, dest_node, queue.PriorityQueue(), True)\",\n \"def shortest_path(graph, start, end):\\n nodes_to_visit = {start}\\n visited_nodes = set()\\n # Distance from start to start is 0\\n distance_from_start = {start: 0}\\n predecessors = {} # Store previous node for shortest route for each node\\n\\n while nodes_to_visit:\\n # Get node with smallest weight\\n current = min(\\n [(distance_from_start[node], node) for node in nodes_to_visit]\\n )[1]\\n\\n # If the end is reached, quit\\n if current == end:\\n break\\n\\n nodes_to_visit.discard(current)\\n visited_nodes.add(current)\\n\\n edges = graph[current]\\n unvisited_neighbours = set(edges).difference(visited_nodes)\\n for neighbour in unvisited_neighbours:\\n neighbour_distance = distance_from_start[current] + \\\\\\n edges[neighbour]\\n if neighbour_distance < distance_from_start.get(neighbour,\\n float('inf')):\\n distance_from_start[neighbour] = neighbour_distance\\n predecessors[neighbour] = current\\n nodes_to_visit.add(neighbour)\\n\\n return _deconstruct_path(predecessors, end)\",\n \"def shortestPath(graph, start, end, maxOutdistance, toPrint = False):\\r\\n return DFS(graph, start, end, [], None, sys.maxsize, sys.maxsize, 0, maxOutdistance, toPrint)\",\n \"def shortestpath(graph,start,end,visited=[],distances={},predecessors={}):\\r\\n # detect if first time through, set current distance to zero\\r\\n try:\\r\\n if not visited: \\r\\n distances[start]=0\\r\\n # if we've found our end node, find the path to it, and return\\r\\n if start==end:\\r\\n path=[]\\r\\n while end != None:\\r\\n path.append(end)\\r\\n end=predecessors.get(end,None)\\r\\n return distances[start], path[::-1]\\r\\n # process neighbors as per algorithm, keep track of predecessors\\r\\n for neighbor in graph[start]:\\r\\n if neighbor not in visited:\\r\\n neighbordist = distances.get(neighbor,float(math.inf))\\r\\n tentativedist = distances[start] + graph[start][neighbor]\\r\\n if tentativedist < neighbordist:\\r\\n distances[neighbor] = tentativedist\\r\\n predecessors[neighbor]=start\\r\\n # neighbors processed, now mark the current node as visited \\r\\n visited.append(start)\\r\\n # finds the closest unvisited node to the start \\r\\n unvisiteds = dict((k, distances.get(k,float(math.inf))) for k in graph if k not in visited)\\r\\n closestnode = min(unvisiteds, key=unvisiteds.get)\\r\\n # now take the closest node and recurse, making it current\\r\\n except:\\r\\n pygame.time.delay(700)\\r\\n SCREEN.fill((0,0,0))\\r\\n displayText(\\\"Path Not Found\\\",400,200)\\r\\n displayText(\\\"Try Again....!!\\\",400,240)\\r\\n pygame.display.update()\\r\\n pygame.time.delay(1500)\\r\\n pygame.quit()\\r\\n sys.exit() \\r\\n return shortestpath(graph,closestnode,end,visited,distances,predecessors)\",\n \"def shortest_path(self, start_node_id, end_node_id):\\n # convert to lowercase \\n start_node_id = start_node_id.lower()\\n end_node_id = end_node_id.lower()\\n\\n # validate whether both node id exist \\n start_node = None\\n end_node = None\\n \\n # for loop to convert id to obj --> can be used for passing param in dijkstra method\\n for x in self.__node:\\n if x.getId() == start_node_id:\\n start_node = x\\n if x.getId() == end_node_id:\\n end_node = x\\n \\n #validate if the id exists\\n if start_node == None or end_node == None:\\n print(\\\"The ID does not exist\\\")\\n return\\n\\n # execute dikstra method\\n self.__dikjstra(start_node)\\n\\n output_node = [end_node.getId()]\\n temp_end_node = end_node # to be used to display shortest distance from start node\\n\\n while end_node.getId() != start_node.getId():\\n end_node = end_node.getPrevNode()\\n if end_node == None:\\n break\\n output_node.insert(0,end_node.getId())\\n\\n #if first element of otput_node is not the start node id, display error, other wise, display the \\n if output_node[0] != start_node_id:\\n print(\\\"Error. No path between vertex \\\"+start_node_id+\\\" and vertex \\\"+end_node_id)\\n return \\n \\n # shortest path \\n print(\\\"Shortest Path: \\\")\\n \\n for node in output_node:\\n if node == end_node_id:\\n print(node, end=\\\"\\\")\\n break \\n\\n print(node+' -> ', end=\\\"\\\")\\n \\n # shortest distance\\n print ('\\\\nShortest distance to '+ temp_end_node.getId() + ' = ' + str(temp_end_node.getShortestDist()) )\\n\\n #display table\\n self.__display_table(start_node)\",\n \"def Dijkstra(self, start, end):\\n # Pour n parcourant noeuds\\n # for each node of graph\\n walked = {}\\n previous = {}\\n for key in self.nodes.iterkeys():\\n walked[key] = -1 # infinity\\n previous[key] = None\\n \\n #Fin pour\\n #début.parcouru = 0\\n #pasEncoreVu = noeuds\\n walked[start] = 0\\n notFoundYet = []\\n for key in self.nodes.iterkeys():\\n notFoundYet.append(key)\\n\\n #Tant que pasEncoreVu != liste vide\\n # n1 = minimum(pasEncoreVu) // Le nœud dans pasEncoreVu avec parcouru le plus petit\\n # pasEncoreVu.enlever(n1)\\n while len(notFoundYet) > 0:\\n minimalNode = self.nodeAtMinimumDistance(notFoundYet, walked)\\n \\n # delete minimal from notFoundYet\\n tmp = []\\n for node in notFoundYet:\\n if node != minimalNode: tmp.append(node)\\n notFoundYet = tmp\\n # Pour n2 parcourant fils(n1) // Les nœuds reliés à n1 par un arc\\n # Si n2.parcouru > n1.parcouru + distance(n1, n2) // distance correspond au poids de l'arc reliant n1 et n2\\n # n2.parcouru = n1.parcouru + distance(n1, n2)\\n # n2.précédent = n1 // Dit que pour aller à n2, il faut passer par n1\\n # Fin si\\n # Fin pour\\n # for each successor of minimal\\n for successor in self.nodes[minimalNode]:\\n distance = self.distanceBetween(successor, node)\\n walkToSucc = walked[successor]\\n walkToNode = walked[minimalNode]\\n if walkToSucc == -1 or (walkToSucc > (walkToNode + distance)):\\n walked[successor] = walkToNode + distance\\n previous[successor] = minimalNode\\n\\n # Here, all nodes are founded\\n \\n\\n\\n #Fin tant que\\n #chemin = liste vide\\n #n = fin\\n #Tant que n != début\\n path = []\\n target = end\\n while target != start:\\n # chemin.ajouterAvant(n)\\n # n = n.précédent\\n path = [target] + path\\n target = previous[target]\\n\\n #Fin tant que\\n #chemin.ajouterAvant(début)\\n path = [start] + path\\n #Retourner chemin\\n return path\",\n \"def shortest_path(graph, source, target):\\n return shortest_path_recursive(graph, source, target, set())\",\n \"def shortest_path(self, source, target, via=None, weight='length', bbox=None):\\n\\n if self._graph_backend == 'networkx':\\n return networkx.shortest_path(self._graph, source, target, weight=weight)\\n else:\\n if isinstance(via, list):\\n return self._pgr.get_route(source, target, via_nodes=via, bbox_nodes=bbox)\\n else:\\n return self._pgr.get_route(source, target)\",\n \"def _get_paths(G, nodes, edges, target, weight, available_dist, cache={}):\\n\\n G_succ = G.succ if G.is_directed() else G.adj\\n\\n output = []\\n visited = set(nodes)\\n path_info = []\\n source = nodes[-1]\\n get_weight = _create_weight_func(G, weight)\\n\\n for neighbor, neighbor_edge in G_succ[source].items():\\n\\n if neighbor in visited:\\n continue\\n\\n new_available_dist = available_dist - get_weight(source, neighbor)\\n\\n if new_available_dist < 0:\\n continue\\n\\n # shortest path key for cache\\n sp_key = (source, neighbor, target)\\n\\n if sp_key not in cache:\\n sp = dijkstra(G, neighbor, target, 'length', set([source]), \\n new_available_dist)\\n\\n cache[sp_key] = INF if not sp else sp[1]\\n\\n if new_available_dist < cache[sp_key]:\\n continue\\n\\n path_info.append((neighbor, neighbor_edge, new_available_dist))\\n\\n\\n for (neighbor, neighbor_edge, new_available_dist) in path_info:\\n new_path = nodes + [neighbor]\\n new_edges = edges + [neighbor_edge]\\n\\n if neighbor == target:\\n output.append((new_path, new_edges))\\n else:\\n output.extend(_get_paths(G, new_path, new_edges, target, \\n weight, new_available_dist, cache))\\n\\n return output\",\n \"def build_shortest_path(self):\\n # Explore paths until all nodes have been visited\\n while self.nodes_heap:\\n # Grab min distance node\\n current_node = heappop(self.nodes_heap)\\n # Grab each valid neighbor and update distance if shorter path is found\\n for node_label, edge_weight in enumerate(current_node.edges):\\n if edge_weight and node_label in self.nodes_heap:\\n neighbor = self.nodes_heap[self.nodes_heap.index(node_label)]\\n if neighbor.distance > (current_node.distance + edge_weight):\\n neighbor.distance = current_node.distance + edge_weight\\n neighbor.previous = current_node\\n # Make sure our min heap invariant is met before continuing\\n heapify(self.nodes_heap)\",\n \"def node_at_distance(G, i, k, x, weight, new_node):\\n\\n paths = None\\n try:\\n path = nx.shortest_path(G, i, k)\\n except:\\n print(\\\"warning A\\\")\\n G.add_edge(i, k, weight=weight)\\n path = nx.shortest_path(G, i, k)\\n\\n wtold = 0\\n wt = 0\\n for it in range(1, len(path)):\\n wtold = wt\\n wt += G[path[it - 1]][path[it]][\\\"weight\\\"]\\n if wt == x:\\n return path[it]\\n elif wt > x:\\n print(path, \\\"path\\\", path[it - 1], path[it], \\\"weight\\\", G[path[it - 1]][path[it]][\\\"weight\\\"], \\\"new_node\\\", new_node)\\n\\n print(\\\"a add_edge (%s,%s):%s\\\" % (path[it - 1], new_node, x - wtold))\\n G.add_edge(path[it - 1], new_node, weight=x - wtold)\\n\\n print(\\\"b add_edge (%s,%s):%s\\\" % (new_node, path[it], wt - x))\\n G.add_edge(new_node, path[it], weight=wt - x)\\n\\n print(\\\"c remove_edge (%s,%s)\\\" % (path[it - 1], path[it]))\\n G.remove_edge(path[it - 1], path[it])\\n\\n return new_node\\n\\n print(\\\"return -1\\\")\\n return -1\",\n \"def shortestPath(G: Matrix,\\n sourceNode: int,\\n **kwargs: Dict[str, VALID_INPUT_TYPES]):\\n\\n params_dict = {'G': G, 'sourceNode': sourceNode}\\n params_dict.update(kwargs)\\n return Matrix(G.sds_context,\\n 'shortestPath',\\n named_input_nodes=params_dict)\",\n \"def main():\\n # create graph\\n city = create_city()\\n\\n # create costs cities\\n costs = create_costs()\\n\\n # create min path to city\\n path = create_min_path()\\n\\n # create list not check city\\n list_cities = ['biysk', 'barnaul', 'novosibirsk', 'belokurikha',\\n 'tomsk', 'krasnoyarsk', 'omsk']\\n\\n used_city = list_cities.pop(0) # Сity that we processing\\n while list_cities:\\n used_costs = costs[used_city] # Cost of the current city\\n used_path = path[used_city]\\n for neighbor in city[used_city]:\\n costs_neighbor = costs[neighbor]\\n path_to_neighbor = city[used_city][neighbor]\\n\\n # If path on current node less then rewrite the neighbor node\\n if used_costs + path_to_neighbor < costs_neighbor:\\n costs[neighbor] = used_costs + path_to_neighbor\\n path[neighbor] = used_path + [neighbor]\\n\\n # Finding the min path to the neighbor\\n min_path = min(city[used_city].values())\\n # Entry in used_city the city with min path to it\\n used_city = find_city(city, used_city, min_path)\\n # Deleting city from the uninitiated cities\\n list_cities.remove(used_city)\\n\\n for city, value in costs.items():\\n print(f'{city:13} {value:2}', end=\\\" \\\")\\n print(*path[city], sep=\\\", \\\")\",\n \"def findFirstShortestPath(self, source, dest):\\n\\n # Used to initialize or reinitialize the algorithm\\n # Computes the shortest path via Dijsktra\\n\\n self.kPath = None\\n self.pathHeap = []\\n self.pathList = []\\n self.source = source\\n self.dest = dest\\n\\n # Compute the shortest path\\n # nodeList = nx.dijkstra_path(self.g, source, dest, self.wt)\\n\\n alg = ModifiedDijkstra(self.g, self.wt)\\n nodeList = alg.getPath(source, dest, as_nodes=True)\\n if len(nodeList) == 0:\\n return None\\n deletedLinks = set()\\n self.kPath = WeightedPath(nodeList, deletedLinks, self.g, wt=self.wt,\\n cap=self.cap)\\n self.kPath.dNode = source\\n self.pathList.append(self.kPath)\\n return self.kPath\",\n \"def get_shortest(args_array):\\n\\n node, G, paths_list = args_array\\n shortest_score = float(\\\"inf\\\")\\n path = None\\n for pred in G.predecessors(node):\\n try:\\n path_len,shortest_path = nx.bidirectional_dijkstra(G, node, pred, weight='cost')\\n if path_len < shortest_score:\\n path = shortest_path\\n shortest_score = path_len\\n except nx.exception.NetworkXNoPath:\\n continue\\n if path is not None: paths_list.append(path)\\n # done\",\n \"def dijkstra(start: Vector2D, goal: Vector2D, grid: Scene, *args) -> (list, list):\\n\\n frontier = PriorityQueue() # nodes to be explored\\n\\n prev_node = dict() # maps n to node that precedes it in cheapest currently-known path from start to n\\n cost_so_far = dict() # maps n to cost of cheapest currently-known path from start to n\\n explored = [] # keeps track of previously explored nodes, to be drawn later\\n\\n current_cost = 0\\n\\n frontier.put(start, current_cost)\\n prev_node[start] = None\\n cost_so_far[start] = current_cost\\n\\n while not frontier.empty():\\n current = frontier.get()\\n\\n if current == goal: # solution found!\\n return (reconstruct_path(goal, prev_node), explored)\\n\\n explored.append(current)\\n\\n for neighbor in grid.get_unexplored_neighbors(current):\\n path_cost = cost_so_far[current] + grid.cost(neighbor) # cost of path to 'neighbor' going through 'current'\\n\\n if (neighbor not in cost_so_far) or (path_cost < cost_so_far[neighbor]): # if this path reaches node 'neighbor' faster than some previous path\\n cost_so_far[neighbor] = path_cost\\n \\n frontier.put(neighbor, path_cost) # 'expected_cost' is used as a tie breaker to reduce paths to explore\\n prev_node[neighbor] = current\\n\\n # If frontier empty but goal was never reached, no solution was found\\n return ([], explored)\",\n \"def dijkstra(G, s, t, heap_type):\\n n = len(G.V)\\n d = {} #temporary distance function\\n scanned = set()\\n p = {} #Optimal path\\n # Initialize distances to Infinity\\n for v in G.V:\\n if v == s: \\n d[v] = 0\\n p[s] = s\\n else:\\n d[v] = float('inf')\\n p[v] = None \\n labelled = make_heap(heap_type)\\n nodes = {}\\n for v in G.V:\\n nodes[v] = labelled.make_node(d[v])\\n labelled.insert(nodes[s])\\n while len(scanned) < n: \\n min_node = labelled.delete_min()\\n if min_node is None:\\n break\\n for vertex in nodes:\\n if nodes[vertex] == min_node:\\n u = vertex\\n break\\n for w in G.adj[u]: \\n if w not in scanned:\\n e = (u,w)\\n if d[u] + G.W[e] < d[w]:\\n d[w] = d[u] + G.W[e]\\n p[w] = u\\n # Check to see if previously inserted\\n if nodes[w].value != float('inf'):\\n labelled.decrease_key(nodes[w], d[w])\\n else:\\n nodes[w].value = d[w]\\n labelled.insert(nodes[w])\\n scanned.add(u)\\n path = [t]\\n node = t\\n\\n while node and node != s:\\n node = p[node]\\n path.append(node)\\n path.reverse()\\n return d, path\",\n \"def wsngraph():\\n G = nx.Graph()\\n G.add_node(1)\\n G.add_node(2)\\n G.add_node(3)\\n G.add_node(4)\\n G.add_node(5)\\n G.add_node(6)\\n G.add_node(7)\\n G.add_node(8)\\n G.add_node(9)\\n G.add_node(10)\\n G.add_node(11)\\n G.add_node(12)\\n G.add_edge(1,3,weight=1)\\n G.add_edge(1,2,weight=6)\\n G.add_edge(1,12,weight=16)\\n G.add_edge(2,11,weight=12)\\n G.add_edge(2,6,weight=10)\\n G.add_edge(2,5,weight=11)\\n G.add_edge(3,4,weight=10)\\n G.add_edge(3,7,weight=11)\\n G.add_edge(3,8,weight=14)\\n G.add_edge(3,9,weight=11)\\n G.add_edge(4,7,weight=9)\\n G.add_edge(5,6,weight=7)\\n G.add_edge(5,9,weight=12)\\n G.add_edge(6,9,weight=9)\\n G.add_edge(7,10,weight=10)\\n G.add_edge(8,10,weight=2)\\n G.add_edge(8,11,weight=11)\\n G.add_edge(8,9,weight=12)\\n G.add_edge(9,11,weight=8)\\n G.add_edge(10,12,weight=3)\\n G.pos={}\\n G.pos[1]=(6,4)\\n G.pos[2]=(-1,3.7)\\n G.pos[3]=(4.7,3.5)\\n G.pos[4]=(5.3,3.2)\\n G.pos[5]=(0,3)\\n G.pos[6]=(1.4,3.4)\\n G.pos[7]=(5,2.6)\\n G.pos[8]=(4.7,0)\\n G.pos[9]=(1.4,2.4)\\n G.pos[10]=(5.2,0.5)\\n G.pos[11]=(1.3,0)\\n G.pos[12]=(6,2.4)\\n elarge=[(u,v) for (u,v,d) in G.edges(data=True) if d['weight'] > 8]\\n esmall=[(u,v) for (u,v,d) in G.edges(data=True) if d['weight'] <= 8]\\n nx.draw_networkx_nodes(G,G.pos,node_color='w')\\n nx.draw_networkx_edges(G,G.pos,elarge,width=3,edge_color='r',alpha=0.3)\\n nx.draw_networkx_edges(G,G.pos,esmall,width=1,edge_color='b',alpha=0.3)\\n nx.draw_networkx_labels(G,G.pos)\\n ax=plt.gca()\\n ax.axison = False\\n label = {} \\n for (u,v) in G.edges():\\n d = G.get_edge_data(u,v)\\n label[(u,v)]=d['weight']\\n edge_label=nx.draw_networkx_edge_labels(G,G.pos,edge_labels=label)\\n\\n return(G)\",\n \"def floydWarshall(graph):\\n \\\"\\\"\\\" initializing the solution matrix same as input graph matrix\\n OR we can say that the initial values of shortest distances\\n are based on shortest paths considerting no \\n intermedidate vertices \\\"\\\"\\\"\\n V = len(graph[0])\\n dist = [[elem for elem in line] for line in graph]\\n \\n \\\"\\\"\\\" Add all vertices one by one to the set of intermediate\\n vertices.\\n ---> Before start of a iteration, we have shortest distances\\n between all pairs of vertices such that the shortest\\n distances consider only the vertices in set \\n {0, 1, 2, .. k-1} as intermediate vertices.\\n ----> After the end of a iteration, vertex no. k is\\n added to the set of intermediate vertices and the \\n set becomes {0, 1, 2, .. k}\\n \\\"\\\"\\\"\\n for k in range(V):\\n \\n # pick all vertices as source one by one\\n for i in range(V):\\n \\n # Pick all vertices as destination for the\\n # above picked source\\n for j in range(V):\\n \\n # If vertex k is on the shortest path from \\n # i to j, then update the value of dist[i][j]\\n dist[i][j] = min(dist[i][j], dist[i][k] + dist[k][j])\\n\\n for line in dist:\\n print line\\n\\n return dist\",\n \"def get_path2(self, src, dst, weight):\\r\\n #shortest_paths = self.awareness.shortest_paths\\r\\n # Create bandwidth-sensitive datapath graph.\\r\\n if weight == self.WEIGHT_MODEL['hop']:\\r\\n graph = self.awareness.graph\\r\\n return nx.shortest_path(graph,src,dst,method='dijkstra')\\r\\n\\r\\n elif weight == self.WEIGHT_MODEL['bw']:\\r\\n graph = self.monitor.graph\\r\\n path = nx.shortest_path(graph, src, dst, weight='bandwidth', method='dijkstra')\\r\\n return path\\r\\n else:\\r\\n pass\",\n \"def find_path(g: Graph, start: str) -> None:\\n g.dijkstra(start)\",\n \"def shortest_path_tree(G,nroot):\\n SPT = nx.Graph()\\n SPT.pos = G.pos\\n for n in G.nodes():\\n if n!=nroot:\\n p = nx.dijkstra_path(G,nroot,n,True)\\n SPT.add_path(p)\\n return(SPT)\",\n \"def bfs_shortest_path(graph, start, end):\\n assert not graph.weighted, 'This method will not work for weighted graphs.'\\n\\n parents = {}\\n distances = {start: 0}\\n\\n queue = deque([start])\\n while queue:\\n node = queue.popleft()\\n for next_node in (graph.adj[node] - distances.keys()):\\n parents[next_node] = node\\n distances[next_node] = distances[node] + 1\\n if next_node == end:\\n return backtrace_path(start, end, parents)\\n queue.append(next_node)\\n\\n return None\",\n \"def get_full_weight_matrix_and_minimal_distances(G,\\n sink_nodes,\\n use_inverse_distance_as_adjacency = False,\\n return_distance_matrix = False,\\n ):\\n\\n nodes = set(list(G.nodes()))\\n N = G.number_of_nodes()\\n transient_nodes = list(nodes - set(sink_nodes))\\n d = dict(nx.all_pairs_dijkstra_path_length(G))\\n D = np.zeros((N,N))\\n\\n for i in range(N-1):\\n for j in range(i+1,N):\\n D[i,j] = d[i][j]\\n D[j,i] = d[j][i]\\n\\n A = nx.adjacency_matrix(G).toarray()\\n A = A.astype(float)\\n W = A.copy()\\n\\n if use_inverse_distance_as_adjacency:\\n W[A>0] = 1/A[A>0]\\n else:\\n W[A>0] = 1\\n\\n min_distances = D[:,sink_nodes].min(axis=1)\\n\\n if return_distance_matrix:\\n return A, W, min_distances, D\\n else:\\n return A, W, min_distances\",\n \"def functionality_1(path_to_txt):\\n print(\\\"you are invoking minimum spanning tree + Dijkstra algorithm\\\")\\n gc = GraphConstructor()\\n gc.graph_from_combined_file(path_to_txt)\\n vertices, dm = gc.dijkstra_input_vertices_and_distance_matrix()\\n source_vertex = 0\\n start_time = time.process_time()\\n got = Dijkstra_to_find_shortest_distances(source_vertex, vertices, dm)\\n print(\\\"the result of minimum spanning tree + Dijkstra algorithm is:\\\")\\n print(\\\"[{}]\\\".format(\\\", \\\".join([str(val) for val in got])))\\n print(\\\"the execution takes time: {}\\\".format(str(time.process_time() - start_time)))\",\n \"def _dijkstra(G, start, end=None):\\n distances = {}\\n predecessors = {}\\n Q = PriorityDictionary()\\n Q[start] = 0\\n\\n for pt in Q:\\n distances[pt] = Q[pt]\\n if pt == end: break\\n\\n for neigh in G[pt]:\\n pnLength = distances[pt] + G[pt][neigh]\\n if neigh in distances:\\n if pnLength < distances[neigh]:\\n raise ValueError, \\\"Dijkstra: found better path to already-final vertex\\\"\\n elif neigh not in Q or pnLength < Q[neigh]:\\n Q[neigh] = pnLength\\n predecessors[neigh] = pt\\n return distances, predecessors\",\n \"def dijkstra(map):\\n width = len(map[0])\\n height = len(map)\\n\\n is_in_tree = [[False for _ in range(width)] for _ in range(height)]\\n distance = [[MAXINT for _ in range(width)] for _ in range(height)]\\n parent = [[None for _ in range(width)] for _ in range(height)]\\n distance[0][0] = 0\\n\\n # (row, col)!!!!\\n curcell = (0, 0)\\n next_cell = None\\n weight = 0\\n best_distance_so_far = MAXINT\\n\\n while not is_in_tree[curcell[0]][curcell[1]]:\\n is_in_tree[curcell[0]][curcell[1]] = True\\n neighbors = [\\n adj for adj in __get_adjacent_4c(curcell, height, width) if map[adj[0]][adj[1]] != 1\\n ]\\n\\n for n in neighbors:\\n cand_distance = distance[curcell[0]][curcell[1]] + 1\\n if distance[n[0]][n[1]] > cand_distance:\\n distance[n[0]][n[1]] = cand_distance\\n parent[n[0]][n[1]] = curcell\\n\\n # Find the closest non-tree node---at least one would've been \\\"relaxed\\\"\\n # by the loop above. Could be improved by a priority queue.\\n best_distance_so_far = MAXINT\\n for row in range(height):\\n for col in range(width):\\n node_dist = distance[row][col]\\n if not is_in_tree[row][col] and best_distance_so_far > node_dist:\\n best_distance_so_far = node_dist\\n curcell = (row, col)\\n\\n return distance[height - 1][width - 1] + 1\",\n \"def pathFinder(graph, sourceVertex):\\r\\n \\r\\n # List removeEdges will be used to store the edges that will be removed from the graph dictionary after the loop ends. Makes the code more efficient, as you don't want to loop through a million vertices every time, now do you?\\r\\n removeEdges = []\\r\\n \\r\\n # Loop through edges in the graph, will be used to find adjacent vertices.\\r\\n for edge in graph[\\\"E\\\"]:\\r\\n \\r\\n # If the sourceVertex is in the edge and the edge is not discovered yet, then edit and change values in the main dictionary, dataInfo.\\r\\n if (sourceVertex in edge) and (dataInfo[str(symmetricVertex(edge, sourceVertex))] != \\\"gray\\\"):\\r\\n otherVertex = symmetricVertex(edge, sourceVertex)\\r\\n \\r\\n # Adds variable otherVertex to the descendants of the sourceVertex.\\r\\n dataInfo[str(sourceVertex)][\\\"descendants\\\"].append(otherVertex)\\r\\n \\r\\n # Updates key(otherVertex) to correct values. Ancestor is always the sourceVertex, the distance is always the distance of sourceVertex incremented by one, and the color is updated to gray as it is added to the queue.\\r\\n dataInfo[str(otherVertex)] = {\\\"ancestor\\\": sourceVertex, \\\"descendants\\\": [], \\\"distance\\\": (dataInfo[str(sourceVertex)][\\\"distance\\\"] + 1), \\\"color\\\": \\\"gray\\\"}\\r\\n \\r\\n # Edge includes two discovered edges, so it will be removed to stop redundancy. It is added to the removeEdges list.\\r\\n removeEdges.append(edge)\\r\\n \\r\\n # Appends the discovered vertex to the queue.\\r\\n queue.append(otherVertex)\\r\\n \\r\\n # After the loop ends, the edges that contain the source vertex have been exhausted, so the color is updated to black.\\r\\n dataInfo[str(sourceVertex)][\\\"color\\\"] = \\\"black\\\" \\r\\n \\r\\n # If the sourceVertex is in the queue, it is removed, as all of the edges containing it have been exhausted.\\r\\n if sourceVertex in queue:\\r\\n queue.remove(sourceVertex)\\r\\n \\r\\n # Loop through the edges in the removeEdges list, each edge will be removed.\\r\\n for edge in removeEdges:\\r\\n graph[\\\"E\\\"].remove(edge)\",\n \"def shortestPath(G, start, end):\\n\\n D, P = Dijkstra(G, start)\\n print(D)\\n print(P)\\n Path = []\\n while 1:\\n Path.append(end)\\n if end == start: break\\n end = P[end]\\n Path.reverse()\\n return Path\",\n \"def lazy_dijkstra(g, n, s):\\n vis = [0] * n\\n prev = [None] * n\\n dist = [inf] * n\\n dist[0] = 0\\n\\n pq = PriorityQueue()\\n # 2nd entry in tuple is the node index\\n pq.put((0, s))\\n\\n while pq.qsize() != 0:\\n minValue, index = pq.get()\\n vis[index] = 1\\n # Optimization to ignore stale (dist, index) pairs\\n if dist[index] < minValue:\\n continue\\n for edge in g[index]:\\n # if we have visited that vertex then don't relax the edge\\n if vis[edge.to]:\\n continue\\n newDist = dist[index] + edge.cost\\n # update if we find a better solution\\n if newDist < dist[edge.to]:\\n prev[edge.to] = index\\n dist[edge.to] = newDist\\n pq.put((newDist, edge.to))\\n return (dist, prev)\",\n \"def generate_run_dijkstra(self, game_state, player_state):\\r\\n \\r\\n wall_indices = game_state.all_blocks\\r\\n run_dijkstra = DijkstraMap(12,10,wall_indices) \\r\\n \\r\\n for goal in game_state.opponents(player_state.id):\\r\\n run_dijkstra.add_goal(int(goal[0]), int(goal[1]),0)\\r\\n run_dijkstra.recalculate_map()\\r\\n run_dijkstra = -1.2*run_dijkstra\\r\\n run_dijkstra.recalculate_map(clear=False)\\r\\n return run_dijkstra\",\n \"def dijkstra(\\n from_node: T,\\n expand: typing.Callable[[T], typing.Iterable[typing.Tuple[int, T]]],\\n to_node: typing.Optional[T] = None,\\n heuristic: typing.Optional[typing.Callable[[T], int]] = None,\\n) -> typing.Tuple[typing.Dict[T, int], typing.Dict[T, T]]:\\n if heuristic is None:\\n heuristic = lambda _: 0\\n seen = set() # type: typing.Set[T]\\n g_values = {from_node: 0} # type: typing.Dict[T, int]\\n parents = {} # type: typing.Dict[T, T]\\n\\n # (f, g, n)\\n todo = [(0 + heuristic(from_node), 0, from_node)] # type: typing.List[typing.Tuple[int, int, T]]\\n\\n while todo:\\n f, g, node = heapq.heappop(todo)\\n\\n assert node in g_values\\n assert g_values[node] <= g\\n\\n if node in seen:\\n continue\\n\\n assert g_values[node] == g\\n if to_node is not None and node == to_node:\\n break\\n seen.add(node)\\n\\n for cost, new_node in expand(node):\\n new_g = g + cost\\n if new_node not in g_values or new_g < g_values[new_node]:\\n parents[new_node] = node\\n g_values[new_node] = new_g\\n heapq.heappush(todo, (new_g + heuristic(new_node), new_g, new_node))\\n \\n return (g_values, parents)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7634346","0.7473723","0.7436281","0.742487","0.7390997","0.73245585","0.72784936","0.72725034","0.7163718","0.7157089","0.70738053","0.70538944","0.7051962","0.7050298","0.70453733","0.7039171","0.7029212","0.7005062","0.7002129","0.6975575","0.6929758","0.6928794","0.6874739","0.68637526","0.6861785","0.68483365","0.68416584","0.6835801","0.6788571","0.6788398","0.6781737","0.67689824","0.67644525","0.67622274","0.6733866","0.67189187","0.67087954","0.66961825","0.66865677","0.6658754","0.6641693","0.66275096","0.66247046","0.6621204","0.66138566","0.6579984","0.65784955","0.6567072","0.656679","0.656679","0.6559679","0.6557695","0.65544975","0.6537495","0.6534445","0.65114594","0.6505967","0.65025616","0.64468443","0.6428993","0.6428466","0.6409024","0.63971716","0.6394464","0.63756716","0.6368102","0.63600856","0.6337376","0.63311076","0.63209796","0.6315302","0.63032687","0.6301949","0.62755615","0.62730455","0.62526315","0.6250928","0.62400013","0.6233614","0.61980474","0.6196441","0.6185029","0.6166705","0.6165575","0.6138485","0.6136232","0.6125477","0.6090118","0.60827804","0.6065861","0.60602856","0.6031921","0.6026636","0.6020234","0.6017755","0.60149896","0.6013712","0.60115147","0.5992502","0.59873253"],"string":"[\n \"0.7634346\",\n \"0.7473723\",\n \"0.7436281\",\n \"0.742487\",\n \"0.7390997\",\n \"0.73245585\",\n \"0.72784936\",\n \"0.72725034\",\n \"0.7163718\",\n \"0.7157089\",\n \"0.70738053\",\n \"0.70538944\",\n \"0.7051962\",\n \"0.7050298\",\n \"0.70453733\",\n \"0.7039171\",\n \"0.7029212\",\n \"0.7005062\",\n \"0.7002129\",\n \"0.6975575\",\n \"0.6929758\",\n \"0.6928794\",\n \"0.6874739\",\n \"0.68637526\",\n \"0.6861785\",\n \"0.68483365\",\n \"0.68416584\",\n \"0.6835801\",\n \"0.6788571\",\n \"0.6788398\",\n \"0.6781737\",\n \"0.67689824\",\n \"0.67644525\",\n \"0.67622274\",\n \"0.6733866\",\n \"0.67189187\",\n \"0.67087954\",\n \"0.66961825\",\n \"0.66865677\",\n \"0.6658754\",\n \"0.6641693\",\n \"0.66275096\",\n \"0.66247046\",\n \"0.6621204\",\n \"0.66138566\",\n \"0.6579984\",\n \"0.65784955\",\n \"0.6567072\",\n \"0.656679\",\n \"0.656679\",\n \"0.6559679\",\n \"0.6557695\",\n \"0.65544975\",\n \"0.6537495\",\n \"0.6534445\",\n \"0.65114594\",\n \"0.6505967\",\n \"0.65025616\",\n \"0.64468443\",\n \"0.6428993\",\n \"0.6428466\",\n \"0.6409024\",\n \"0.63971716\",\n \"0.6394464\",\n \"0.63756716\",\n \"0.6368102\",\n \"0.63600856\",\n \"0.6337376\",\n \"0.63311076\",\n \"0.63209796\",\n \"0.6315302\",\n \"0.63032687\",\n \"0.6301949\",\n \"0.62755615\",\n \"0.62730455\",\n \"0.62526315\",\n \"0.6250928\",\n \"0.62400013\",\n \"0.6233614\",\n \"0.61980474\",\n \"0.6196441\",\n \"0.6185029\",\n \"0.6166705\",\n \"0.6165575\",\n \"0.6138485\",\n \"0.6136232\",\n \"0.6125477\",\n \"0.6090118\",\n \"0.60827804\",\n \"0.6065861\",\n \"0.60602856\",\n \"0.6031921\",\n \"0.6026636\",\n \"0.6020234\",\n \"0.6017755\",\n \"0.60149896\",\n \"0.6013712\",\n \"0.60115147\",\n \"0.5992502\",\n \"0.59873253\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7355143"},"document_rank":{"kind":"string","value":"5"}}},{"rowIdx":88298,"cells":{"query":{"kind":"string","value":"for the input for indri document retrieval when all the claim and entity have been lower cased"},"document":{"kind":"string","value":"def create_entity_claim_input_file_doc_ret():\n claim_doc = open(r\"C:\\study\\technion\\MSc\\Thesis\\Y!\\rawClaim_SW.txt\").read().strip()\n \"remove the stop words from the claims\"\n SW_doc = r\"C:\\study\\technion\\MSc\\Thesis\\Y!\\stopWords.xml\"\n stopWords_list = []\n claims_no_SW_dict = {}\n with open(SW_doc, 'r') as f:\n line = f.readline()\n while line !=\"\":\n if \"<word>\" in line:\n stopWords_list.append(line.split(\"<word>\")[1].split(\"</word>\")[0])\n line = f.readline()\n \n for i,line in enumerate(claim_doc.split(\"\\n\")):\n clmLMdocLM_doc_ret_query_file = open(\"LMdocLM_doc_ret_query_file_clm_\"+str(i+1),\"wb\")\n clmLMdocLM_doc_ret_query_file.write(\"<parameters>\\n\")\n curr_claim_words = line.split(\"|\")[1].lower().split()\n curr_entity_words = line.split(\"|\")[0].lower().split()\n noSW_claim = \"\"\n noSW_entity = \"\"\n for word in curr_claim_words:\n if word not in stopWords_list: \n noSW_claim += word+\" \"\n for word in curr_entity_words:\n if word not in stopWords_list: \n noSW_entity += word+\" \"\n# clmLMdocLM_doc_ret_query_file.write(\"<query><number>\"+str(i+1)+\"</number><text>\"+noSW_entity+\"|\"+noSW_claim+\"</text></query>\\n\")\n# clmLMdocLM_doc_ret_query_file.write(\"</parameters>\")\n# clmLMdocLM_doc_ret_query_file.close()\n claims_no_SW_dict[str(i+1)] = (noSW_entity,noSW_claim)\n save_pickle(\"claims_no_SW_dict\", claims_no_SW_dict)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def _transform_to_lowercase(self, doc: str):\n processed_tweet = doc.lower()\n return processed_tweet","def lower_case_really():","def search_entity(self, name_filter):\n name_filter=name_filter.lower()\n model_reader=oc.delegator.getModelReader()\n names=model_reader.getEntityNames()\n # print(len(names))\n for name in names:\n if name_filter in name.lower():\n print(name)","def lower(self) -> str:","def test_lowercase_input(self):\n State(substance=\"water\")\n State(substance=\"r22\")\n State(substance=\"r134a\")\n State(substance=\"ammonia\")\n State(substance=\"propane\")\n State(substance=\"air\")\n State(substance=\"isobutane\")\n State(substance=\"carbondioxide\")\n State(substance=\"oxygen\")\n State(substance=\"nitrogen\")","def test_correct_dataset_found_by_case_insensitive_name(self):\n study_name = 'my_unlikely_study_name'\n study = factories.StudyFactory.create(i_study_name=study_name)\n url = self.get_url()\n response = self.client.get(url, {'q': study_name.upper()})\n returned_pks = get_autocomplete_view_ids(response)\n self.assertEqual(returned_pks, [study.i_accession])","def add_lowercase_fields(attributes, data):\n for attrib in attributes:\n if attrib['similarity'] == 'EqualIgnoreCase':\n value = data.get(attrib['name'])\n if value is not None:\n data[attrib['name']] = value.lower()\n return data","def not_capitalized(): # noqa: D416","def test_author_initials(self):\n inv_search = 'author:\"polyakov, a* m*\"'\n spi_search = 'find a a m polyakov'\n self._compare_searches(inv_search, spi_search)","def test_lower_case():\n assert TextCleaner().transform([[\"TEST\"]])[\"corpus\"][0] == \"test\"","def test_lower(self):\n results = list(Book.select(Book.title.lower() == \"a voyage in a balloon\"))\n self.assertIn(self.balloon, results)\n self.assertNotIn(self.carol, results)\n self.assertNotIn(self.miserables, results)\n self.assertNotIn(self.hunchback, results)\n self.assertNotIn(self.bellew, results)\n self.assertNotIn(self.amor, results)\n self.assertNotIn(self.eternity, results)\n\n # Test the unicode lowercase.\n results = list(Book.select(Book.title.lower() == \"le cap éternité\"))\n self.assertNotIn(self.balloon, results)\n self.assertNotIn(self.carol, results)\n self.assertNotIn(self.miserables, results)\n self.assertNotIn(self.hunchback, results)\n self.assertNotIn(self.bellew, results)\n self.assertNotIn(self.amor, results)\n self.assertIn(self.eternity, results)","def _lowercase(self, form):\n if form is None or form in ['I', 'OK'] or form.startswith('X-'):\n return form\n return form.lower()","def LegalIn(f):\n return search(field='legalities', method=HASKEY, value=f.lower())","def lowerCase(self,phrase):\n if(\"normalizeText\" in self._classes):\n return self._normalize.lowerCase(phrase)","def test_lowercases_usernames(self):\n username = \"ZiNo\"\n lowercase_username = \"zino\"\n\n issue = platform.Issue(\"Peer Review\", \"yup\", author=username)\n assert issue.author == lowercase_username","def test_exactauthor_simple(self):\n invenio_search = 'exactauthor:\"ellis, j\"'\n spires_search = 'find ea ellis, j'\n self._compare_searches(invenio_search, spires_search)","def _apply_lowercase(sentence_tokens):\n return [token.lower() for token in sentence_tokens]","def test_author_many_initials(self):\n inv_search = 'author:\"bach, p* d* q*\"'\n spi_search = 'find a p d q bach'\n self._compare_searches(inv_search, spi_search)","def test_clean_row_lowercase(self):\n\t\tobj_ut = sentiment.clean_row(\n\t\t\t'100\\tAn APPLE so GOODforme')\n\t\tself.assertEqual(obj_ut[1], \"an apple so goodforme\")","def test_case_insensitive(self):\n self.check_4_way('Container', 'Pod')","def test_author_simple(self):\n invenio_search = 'author:\"ellis, j*\"'\n spires_search = 'find a ellis, j'\n self._compare_searches(invenio_search, spires_search)","def lower(self) -> String:\n pass","def test_author_full_initial(self):\n inv_search = 'author:\"klebanov, ig* r*\" or exactauthor:\"klebanov, i r\"'\n spi_search = \"find a klebanov, ig.r.\"\n self._compare_searches(inv_search, spi_search)","def test_absorbs_naked_author_search(self):\n invenio_search = \"author:ellis\"\n spi_search = \"author ellis\"\n self._compare_searches(invenio_search, spi_search)","def test_super_short_author_name(self):\n spi_search = \"fin a er and cn cms\"\n inv_search = \"author:er collaboration:cms\"\n self._compare_searches(inv_search, spi_search)","def test_author_simplest(self):\n invenio_search = 'author:ellis'\n spires_search = 'find a ellis'\n self._compare_searches(invenio_search, spires_search)","def test_author_full_first(self):\n invenio_search = 'author:\"ellis, john*\" or exactauthor:\"ellis, j *\" or exactauthor:\"ellis, j\" or exactauthor:\"ellis, jo\" or exactauthor:\"ellis, joh\" or author:\"ellis, john, *\"'\n spires_search = 'find a ellis, john'\n self._compare_searches(invenio_search, spires_search)","def __init__(self, ransom_text, magazine_text):\n self.ransom_text = ransom_text.lower()\n self.magazine_text = magazine_text.lower()","def lowercase_names(topconstruct):\n for vn in query([is_layering([syntax.VAR_NAME])], TreeItem(topconstruct)):\n vn.construct.args[0] = vn.construct.args[0].lower()","def test_case_insensitive(self):\r\n # Generate demo tag into the system\r\n tags = [make_tag() for i in range(5)]\r\n [DBSession.add(t) for t in tags]\r\n\r\n test_str = tags[0].name[0:4].upper()\r\n suggestions = TagMgr.complete(test_str)\r\n self.assertTrue(\r\n tags[0] in suggestions,\r\n \"The sample tag was found in the completion set\")","def handle_sentence_complex(self, sentence, ctxinfo): \n global vocab\n global START_THRESHOLD \n global lower_attr\n \n for w_i, w in enumerate(sentence):\n case_class = w.get_case_class()\n # Does nothing if it's already lowercase or if it's not alphabetic\n\n if case_class != \"lowercase\" and case_class != \"?\":\n low_key = getattr(w, lower_attr).lower()\n token_stats = vocab[ low_key ]\n percents = get_percents( ctxinfo, token_stats )\n pref_form = get_preferred_form( percents )\n\n if case_class == \"UPPERCASE\" or case_class == \"MiXeD\" :\n if pref_form :\n setattr( w, lower_attr, pref_form ) \n # If the word is UPPERCASE or MiXed and does not have a \n # preferred form, what do you expect me to do about it? \n # Nothing, I just ignore it, it's a freaky weird creature! \n\n elif case_class == \"Firstupper\" :\n occurs = token_stats[ getattr( w, lower_attr) ]\n if ( w_i == 0 or\n re.match( \"[:\\.\\?!;]\", sentence[ w_i - 1 ].surface ) ) and \\\n float(occurs[ 1 ]) / float(occurs[ 0 ]) >= START_THRESHOLD :\n setattr( w, lower_attr, getattr( w, lower_attr ).lower() ) \n elif pref_form :\n setattr( w, lower_attr, pref_form )\n # Else, don't modify case, since we cannot know whether it\n # is a proper noun, a sentence start, a title word, a spell \n # error, etc.\n\n self.chain.handle_sentence(sentence, ctxinfo)","def test_is_an_element_caseinsensitive_name():\n for el in roentgen.elements['name']:\n assert is_an_element(el.upper())\n assert is_an_element(el.lower())\n assert is_an_element(el.capitalize())","def case_sensitive_names(self) -> pulumi.Output[bool]:\n return pulumi.get(self, \"case_sensitive_names\")","def case_sensitive_names(self) -> Optional[pulumi.Input[bool]]:\n return pulumi.get(self, \"case_sensitive_names\")","def case_sensitive_names(self) -> Optional[pulumi.Input[bool]]:\n return pulumi.get(self, \"case_sensitive_names\")","def case_sensitive(self):\n\n return True","def searchable(query):\n if query is None:\n return ''\n return strip_accents(query).lower().strip()","def test_spires_syntax_detected_naked_author_leading_spaces(self):\n converter = search_engine_query_parser.SpiresToInvenioSyntaxConverter()\n spi_search = converter.is_applicable(\" author ellis\")\n self.assertEqual(spi_search, True)","def test_correct_dataset_found_by_case_insensitive_name(self):\n dataset_name = 'my_unlikely_dataset_name'\n dataset = factories.SourceDatasetFactory.create(dataset_name=dataset_name)\n url = self.get_url()\n response = self.client.get(url, {'q': dataset_name.upper()})\n returned_pks = get_autocomplete_view_ids(response)\n self.assertEqual(returned_pks, [dataset.i_id])","def test_correct_dataset_found_by_case_insensitive_name(self):\n dataset_name = 'my_unlikely_dataset_name'\n dataset = factories.SourceDatasetFactory.create(dataset_name=dataset_name)\n url = self.get_url()\n response = self.client.get(url, {'q': dataset_name.upper()})\n returned_pks = get_autocomplete_view_ids(response)\n self.assertEqual(returned_pks, [dataset.i_id])","def transform_key(self, key):\n return key.lower()","def good_word(self, word):\r\n return word.strip().lower()","def test_lowercase(self):\n form_data = self.form_data('A=R7-%=K?K@B^!9Q8=C+')\n form = self.form(data=form_data, user=self.u)\n self.assertFalse(form.is_valid())","def test_first_author_full_initial(self):\n inv_search = 'firstauthor:\"klebanov, ig* r*\" or exactfirstauthor:\"klebanov, i r\"'\n spi_search = \"find fa klebanov, ig.r.\"\n self._compare_searches(inv_search, spi_search)","def test_author_reverse(self):\n invenio_search = 'author:\"ellis, j*\"'\n spires_search = 'find a j ellis'\n self._compare_searches(invenio_search, spires_search)","def keep_lowercase(str_list):","def handle_sentence_simple(self, sentence, ctxinfo):\n global text_version\n global moses_version\n global lower_attr\n \n for w in sentence :\n setattr(w, lower_attr, getattr(w, lower_attr).lower())\n self.chain.handle_sentence(sentence, ctxinfo)","def test_force_field_case(self):\n default_case = ForceField(\"smirnoff99Frosst-1.1.0.offxml\")\n lower_case = ForceField(\"smirnoff99frosst-1.1.0.offxml\")\n\n assert hash(default_case) == hash(lower_case)","def unverifiable(self, resp):\n return any(a in str(resp).lower() for a in UNVERIFIABLE_KEYWORDS)","def test_find_first_author(self):\n inv_search = 'firstauthor:ellis'\n spi_search = 'find fa ellis'\n self._compare_searches(inv_search, spi_search)","def _case_insensitive(s: str):\n return s.lower()","def str_islower__Rope(space, w_self):\n l = w_self._node.length()\n \n if l == 0:\n return space.w_False\n cased = False\n iter = rope.ItemIterator(w_self._node)\n for idx in range(l):\n c = iter.nextchar()\n if c.isupper():\n return space.w_False\n elif not cased and c.islower():\n cased = True\n return space.newbool(cased)","def islower(self) -> bool:\n pass","def test_correct_dataset_found_by_case_insensitive_name(self):\n dataset_name = 'my_unlikely_dataset_name'\n dataset = factories.SourceDatasetFactory.create(\n dataset_name=dataset_name,\n source_study_version=self.source_study_version\n )\n url = self.get_url(self.study.pk)\n response = self.client.get(url, {'q': dataset_name.upper()})\n returned_pks = get_autocomplete_view_ids(response)\n self.assertEqual(returned_pks, [dataset.i_id])","def test_correct_dataset_found_by_case_insensitive_name(self):\n dataset_name = 'my_unlikely_dataset_name'\n dataset = factories.SourceDatasetFactory.create(\n dataset_name=dataset_name,\n source_study_version=self.source_study_version\n )\n url = self.get_url(self.study.pk)\n response = self.client.get(url, {'q': dataset_name.upper()})\n returned_pks = get_autocomplete_view_ids(response)\n self.assertEqual(returned_pks, [dataset.i_id])","def proper_title_case(s):\n nocaps = [\"the\"] # This needs to be extended.","def lowercase_text(text):\n newText = format_lower_case(text)\n Text(\"%(text)s\").execute({\"text\": newText})","def test_id_and_prefix_from_different_cases_gets_both(self):\n td = self.create_testdata()\n res = self.filter([u\"pre\", unicode(td[\"cv2\"].case.id)])\n\n self.assertEqual(\n Set([x.name for x in res.all()]),\n Set([\"CV 1\", \"CV 2\"]),\n )","def LOWER(text):\n return text.lower()","def test_spires_syntax_detected_naked_author(self):\n converter = search_engine_query_parser.SpiresToInvenioSyntaxConverter()\n spi_search = converter.is_applicable(\"author ellis\")\n self.assertEqual(spi_search, True)","def clean_fields(self, *args, **kwargs):\n if self.saan:\n self.saan = self.saan.upper() # only in CWR, uppercase anyway\n super().clean_fields(*args, **kwargs)","def _lower(self, mapping):\n _mapping = {}\n for k, v in sorted(mapping.items()):\n k = k.lower()\n if k not in _mapping:\n _mapping[k] = v\n return _mapping","def force_lowercase(etl, field_names, **kwargs):\r\n import arcetl\r\n func = functools.partial(\r\n etl.transform, transformation=arcetl.attributes.update_by_function,\r\n function=value.force_lowercase, **kwargs\r\n )\r\n tuple(func(field_name=name) for name in field_names)","def LCase(text):\n return text.lower()","def test_refersto_author_multi_name(self):\n inv_search = 'author:ellis refersto:author:\"parke, s. j.\"'\n spi_search = 'find a ellis and refersto author \"parke, s. j.\"'\n self._compare_searches(inv_search, spi_search)","def lower_caser(self, sentence):\n return sentence.strip().lower()","def toLowerCase(self) -> None:\n self.text = self.text.lower()","def _ci_key(self, key: str) -> str:\n # pylint: disable=no-self-use\n return key.lower()","def _ci_key(self, key: str) -> str:\n # pylint: disable=no-self-use\n return key.lower()","def rl_s(rl):\r\n c.execute(\"SELECT * FROM personnel WHERE role=:role COLLATE NOCASE\", {'role': rl})\r\n return c.fetchall()","def applies_capitalization(self, token_list, original_sentence):\n new_token_list = []\n original_token_list = original_sentence.split(\" \")\n for idx, token in enumerate(token_list):\n if idx < len(original_token_list):\n if token.lower() == original_token_list[idx].lower():\n new_token_list.append(original_token_list[idx])\n else:\n new_token_list.append(token)\n else:\n new_token_list.append(token)\n\n return new_token_list","def change_case(word):\n return word.upper() if case == \"upper\" else word.lower()","def preprocess(text):\n return text.lower()","def entity_prefix(self):","def test_find_first_author_initial(self):\n inv_search = 'firstauthor:\"ellis, j*\"'\n spi_search = 'find fa j ellis'\n self._compare_searches(inv_search, spi_search)","def _get_fields(self):\n fields = self.table[0]\n fields = filter(None.__ne__, fields)\n return list(map(str.lower, fields))","def testEmailIsLowercase(self):\r\n res = self.app.post(\r\n '/signup_process',\r\n params={\r\n 'email': 'CAPITALTesting@Dummy.cOm'\r\n }\r\n )\r\n self.assertIn('capitaltesting@dummy.com', res.body)","def main():\n username = str(input())\n print(str.lower(username))","def lowercase(self, sent):\n SPECIAL_TAG_PREFIX = ur\"__\"\n _sent = []\n for w in sent:\n # make sure w is in network vocabulary\n if not w.startswith(SPECIAL_TAG_PREFIX) and \\\n w.lower() in self.word_vectors.getVocab():\n _sent.append(w.lower())\n elif w.startswith(SPECIAL_TAG_PREFIX) and \\\n w in self.word_vectors.getVocab():\n _sent.append(w)\n else:\n _sent.append( self.word_vectors.OOV_SYMBOL )\n return _sent","def SpssLower(*args):\n\tSpssMapToVar(\"lower\", args)\n\t# Does not perform EXECUTE","def caseSensitive(self):\n return self.__caseSensitive","def preprocess(tokens):\n result = []\n for token in tokens:\n result.append(token.lower())\n return result","def test_case_sensitive() -> None:\n tknzr = WsTknzr(is_uncased=False, max_vocab=-1, min_count=0)\n tknzr.build_vocab(['a', 'A'])\n assert tknzr.tk2id == {\n BOS_TK: BOS_TKID,\n EOS_TK: EOS_TKID,\n PAD_TK: PAD_TKID,\n UNK_TK: UNK_TKID,\n 'a': max(BOS_TKID, EOS_TKID, PAD_TKID, UNK_TKID) + 1,\n 'A': max(BOS_TKID, EOS_TKID, PAD_TKID, UNK_TKID) + 2,\n }","def test_for_case_insensitive(self):\n Pet(0, \"Fido\", \"DOG\").save()\n Pet(0, \"Kitty\", \"CAT\").save()\n pets = Pet.find_by_name(\"fido\")\n self.assertNotEqual(len(pets), 0)\n self.assertEqual(pets[0].name, \"Fido\")\n pets = Pet.find_by_category(\"cat\")\n self.assertNotEqual(len(pets), 0)\n self.assertEqual(pets[0].category, \"CAT\")","def is_case_sensitive(text):\n return text.lower() in AVRO_CASESENSITIVES","def process(self, s):\n # modified for project...\n return s.upper()","def __compare_lowercase(self, dn, dn_list):\n\t\tfor d in dn_list:\n\t\t\tif dn.lower() == d.lower():\n\t\t\t\treturn True\n\t\treturn False","def task_1_fix_names_start_letter(data: DT) -> DT:\n for dic in data:\n if dic.get('name'):\n dic['name'] = dic['name'].capitalize()\n return data","def record(aline):\n # delect the Illustration\n bodylst = aline.split('[Illustration]') \n linestr = functools.reduce(lambda x, y : x + y, bodylst) \n \n # handle punctuation & capitalization\n punclst = [i for i in string.punctuation]\n punclst.remove(\"'\") \n punclst.remove('-')\n for i in punclst:\n linestr = linestr.replace(i,' ')\n alst = linestr.split()\n txtlst = [i.lower() for i in alst]\n # Considering the capitalization\n \n # record the words found and update worddict\n for j in txtlst:\n if j not in worddict:\n worddict.update({j:1})\n else:\n worddict[j] += 1","def findentity(string):\r\n for x in entitylist:\r\n if x in string:\r\n print(f\"(Doc.{i})--Entity = {x.title()}\")\r\n break","def test_distribution_with_many_clauses(self):\n spi_search = \"find a mele and brooks and holtkamp and o'connell\"\n inv_search = \"author:mele author:brooks author:holtkamp author:o'connell\"\n self._compare_searches(inv_search, spi_search)","def snake_case(value: str, **kwargs: Any) -> str:\n return \"_\".join(map(str.lower, split_words(value)))","def get_casing(word):\n if len(word) == 0:\n return \"other\"\n elif word.isdigit(): # Is a digit\n return \"numeric\"\n elif word.islower(): # All lower case\n return \"allLower\"\n elif word.isupper(): # All upper case\n return \"allUpper\"\n # is a title, initial char upper, then all lower\n elif word[0].isupper():\n return \"initialUpper\"\n\n return \"other\"","def read_words(self):\n # If lowercase is True, it is already handled when we read the dataset.\n # If it is False, the unit must be other than word, so that we need to lowercase\n # the data since the word lookup table is for target words which are\n # always in lowercase.\n data = self.train_data\n if not self.lowercase or self.unit == \"oracle\":\n tmp_data = []\n for word in data:\n if self.unit == \"oracle\":\n if '+' in word:\n tags = word.split('+')\n word_tag = tags[0].split(':')\n word = word_tag[1]\n if self.unit == \"morpheme\":\n word = re.sub(\"@@\", \"\", word)\n word = word.lower()\n tmp_data.append(word)\n data = tmp_data\n return data","def icontains(self, other):","def test_field_code(self):\n inv_search = \"subject:p\"\n spi_search = \"f f p\"\n self._compare_searches(inv_search, spi_search)","def akronom():\n akro_str = input(\"Write a sentance with both upper case and lower case letters. \")\n akronomed_str = \"\"\n for letter in akro_str:\n if str.isupper(letter):\n akronomed_str += letter\n\n print(akronomed_str)","def test_type_code(self):\n inv_search = \"collection:review\"\n spi_search = \"find tc review\"\n self._compare_searches(inv_search, spi_search)\n inv_search = \"collection:review\"\n spi_search = \"find ps review\"\n self._compare_searches(inv_search, spi_search)\n inv_search = \"collection:review\"\n spi_search = \"find scl review\"\n self._compare_searches(inv_search, spi_search)","def test_correct_trait_found_by_case_insensitive_name(self):\n query_trait = self.source_traits[0]\n url = self.get_url(self.study.pk)\n response = self.client.get(url, {'q': query_trait.i_trait_name.upper()})\n returned_pks = get_autocomplete_view_ids(response)\n # Get traits that have the same trait name, to account for how small the word lists for faker are.\n traits_with_name = models.SourceTrait.objects.filter(i_trait_name=query_trait.i_trait_name)\n self.assertEqual(len(returned_pks), len(traits_with_name))\n for name_trait in traits_with_name:\n self.assertIn(name_trait.pk, returned_pks)","def test_correct_trait_found_by_case_insensitive_name(self):\n query_trait = self.source_traits[0]\n url = self.get_url(self.study.pk)\n response = self.client.get(url, {'q': query_trait.i_trait_name.upper()})\n returned_pks = get_autocomplete_view_ids(response)\n # Get traits that have the same trait name, to account for how small the word lists for faker are.\n traits_with_name = models.SourceTrait.objects.filter(i_trait_name=query_trait.i_trait_name)\n self.assertEqual(len(returned_pks), len(traits_with_name))\n for name_trait in traits_with_name:\n self.assertIn(name_trait.pk, returned_pks)","def isin(hi):\n return getme.lower() in hi.lowercase"],"string":"[\n \"def _transform_to_lowercase(self, doc: str):\\n processed_tweet = doc.lower()\\n return processed_tweet\",\n \"def lower_case_really():\",\n \"def search_entity(self, name_filter):\\n name_filter=name_filter.lower()\\n model_reader=oc.delegator.getModelReader()\\n names=model_reader.getEntityNames()\\n # print(len(names))\\n for name in names:\\n if name_filter in name.lower():\\n print(name)\",\n \"def lower(self) -> str:\",\n \"def test_lowercase_input(self):\\n State(substance=\\\"water\\\")\\n State(substance=\\\"r22\\\")\\n State(substance=\\\"r134a\\\")\\n State(substance=\\\"ammonia\\\")\\n State(substance=\\\"propane\\\")\\n State(substance=\\\"air\\\")\\n State(substance=\\\"isobutane\\\")\\n State(substance=\\\"carbondioxide\\\")\\n State(substance=\\\"oxygen\\\")\\n State(substance=\\\"nitrogen\\\")\",\n \"def test_correct_dataset_found_by_case_insensitive_name(self):\\n study_name = 'my_unlikely_study_name'\\n study = factories.StudyFactory.create(i_study_name=study_name)\\n url = self.get_url()\\n response = self.client.get(url, {'q': study_name.upper()})\\n returned_pks = get_autocomplete_view_ids(response)\\n self.assertEqual(returned_pks, [study.i_accession])\",\n \"def add_lowercase_fields(attributes, data):\\n for attrib in attributes:\\n if attrib['similarity'] == 'EqualIgnoreCase':\\n value = data.get(attrib['name'])\\n if value is not None:\\n data[attrib['name']] = value.lower()\\n return data\",\n \"def not_capitalized(): # noqa: D416\",\n \"def test_author_initials(self):\\n inv_search = 'author:\\\"polyakov, a* m*\\\"'\\n spi_search = 'find a a m polyakov'\\n self._compare_searches(inv_search, spi_search)\",\n \"def test_lower_case():\\n assert TextCleaner().transform([[\\\"TEST\\\"]])[\\\"corpus\\\"][0] == \\\"test\\\"\",\n \"def test_lower(self):\\n results = list(Book.select(Book.title.lower() == \\\"a voyage in a balloon\\\"))\\n self.assertIn(self.balloon, results)\\n self.assertNotIn(self.carol, results)\\n self.assertNotIn(self.miserables, results)\\n self.assertNotIn(self.hunchback, results)\\n self.assertNotIn(self.bellew, results)\\n self.assertNotIn(self.amor, results)\\n self.assertNotIn(self.eternity, results)\\n\\n # Test the unicode lowercase.\\n results = list(Book.select(Book.title.lower() == \\\"le cap éternité\\\"))\\n self.assertNotIn(self.balloon, results)\\n self.assertNotIn(self.carol, results)\\n self.assertNotIn(self.miserables, results)\\n self.assertNotIn(self.hunchback, results)\\n self.assertNotIn(self.bellew, results)\\n self.assertNotIn(self.amor, results)\\n self.assertIn(self.eternity, results)\",\n \"def _lowercase(self, form):\\n if form is None or form in ['I', 'OK'] or form.startswith('X-'):\\n return form\\n return form.lower()\",\n \"def LegalIn(f):\\n return search(field='legalities', method=HASKEY, value=f.lower())\",\n \"def lowerCase(self,phrase):\\n if(\\\"normalizeText\\\" in self._classes):\\n return self._normalize.lowerCase(phrase)\",\n \"def test_lowercases_usernames(self):\\n username = \\\"ZiNo\\\"\\n lowercase_username = \\\"zino\\\"\\n\\n issue = platform.Issue(\\\"Peer Review\\\", \\\"yup\\\", author=username)\\n assert issue.author == lowercase_username\",\n \"def test_exactauthor_simple(self):\\n invenio_search = 'exactauthor:\\\"ellis, j\\\"'\\n spires_search = 'find ea ellis, j'\\n self._compare_searches(invenio_search, spires_search)\",\n \"def _apply_lowercase(sentence_tokens):\\n return [token.lower() for token in sentence_tokens]\",\n \"def test_author_many_initials(self):\\n inv_search = 'author:\\\"bach, p* d* q*\\\"'\\n spi_search = 'find a p d q bach'\\n self._compare_searches(inv_search, spi_search)\",\n \"def test_clean_row_lowercase(self):\\n\\t\\tobj_ut = sentiment.clean_row(\\n\\t\\t\\t'100\\\\tAn APPLE so GOODforme')\\n\\t\\tself.assertEqual(obj_ut[1], \\\"an apple so goodforme\\\")\",\n \"def test_case_insensitive(self):\\n self.check_4_way('Container', 'Pod')\",\n \"def test_author_simple(self):\\n invenio_search = 'author:\\\"ellis, j*\\\"'\\n spires_search = 'find a ellis, j'\\n self._compare_searches(invenio_search, spires_search)\",\n \"def lower(self) -> String:\\n pass\",\n \"def test_author_full_initial(self):\\n inv_search = 'author:\\\"klebanov, ig* r*\\\" or exactauthor:\\\"klebanov, i r\\\"'\\n spi_search = \\\"find a klebanov, ig.r.\\\"\\n self._compare_searches(inv_search, spi_search)\",\n \"def test_absorbs_naked_author_search(self):\\n invenio_search = \\\"author:ellis\\\"\\n spi_search = \\\"author ellis\\\"\\n self._compare_searches(invenio_search, spi_search)\",\n \"def test_super_short_author_name(self):\\n spi_search = \\\"fin a er and cn cms\\\"\\n inv_search = \\\"author:er collaboration:cms\\\"\\n self._compare_searches(inv_search, spi_search)\",\n \"def test_author_simplest(self):\\n invenio_search = 'author:ellis'\\n spires_search = 'find a ellis'\\n self._compare_searches(invenio_search, spires_search)\",\n \"def test_author_full_first(self):\\n invenio_search = 'author:\\\"ellis, john*\\\" or exactauthor:\\\"ellis, j *\\\" or exactauthor:\\\"ellis, j\\\" or exactauthor:\\\"ellis, jo\\\" or exactauthor:\\\"ellis, joh\\\" or author:\\\"ellis, john, *\\\"'\\n spires_search = 'find a ellis, john'\\n self._compare_searches(invenio_search, spires_search)\",\n \"def __init__(self, ransom_text, magazine_text):\\n self.ransom_text = ransom_text.lower()\\n self.magazine_text = magazine_text.lower()\",\n \"def lowercase_names(topconstruct):\\n for vn in query([is_layering([syntax.VAR_NAME])], TreeItem(topconstruct)):\\n vn.construct.args[0] = vn.construct.args[0].lower()\",\n \"def test_case_insensitive(self):\\r\\n # Generate demo tag into the system\\r\\n tags = [make_tag() for i in range(5)]\\r\\n [DBSession.add(t) for t in tags]\\r\\n\\r\\n test_str = tags[0].name[0:4].upper()\\r\\n suggestions = TagMgr.complete(test_str)\\r\\n self.assertTrue(\\r\\n tags[0] in suggestions,\\r\\n \\\"The sample tag was found in the completion set\\\")\",\n \"def handle_sentence_complex(self, sentence, ctxinfo): \\n global vocab\\n global START_THRESHOLD \\n global lower_attr\\n \\n for w_i, w in enumerate(sentence):\\n case_class = w.get_case_class()\\n # Does nothing if it's already lowercase or if it's not alphabetic\\n\\n if case_class != \\\"lowercase\\\" and case_class != \\\"?\\\":\\n low_key = getattr(w, lower_attr).lower()\\n token_stats = vocab[ low_key ]\\n percents = get_percents( ctxinfo, token_stats )\\n pref_form = get_preferred_form( percents )\\n\\n if case_class == \\\"UPPERCASE\\\" or case_class == \\\"MiXeD\\\" :\\n if pref_form :\\n setattr( w, lower_attr, pref_form ) \\n # If the word is UPPERCASE or MiXed and does not have a \\n # preferred form, what do you expect me to do about it? \\n # Nothing, I just ignore it, it's a freaky weird creature! \\n\\n elif case_class == \\\"Firstupper\\\" :\\n occurs = token_stats[ getattr( w, lower_attr) ]\\n if ( w_i == 0 or\\n re.match( \\\"[:\\\\.\\\\?!;]\\\", sentence[ w_i - 1 ].surface ) ) and \\\\\\n float(occurs[ 1 ]) / float(occurs[ 0 ]) >= START_THRESHOLD :\\n setattr( w, lower_attr, getattr( w, lower_attr ).lower() ) \\n elif pref_form :\\n setattr( w, lower_attr, pref_form )\\n # Else, don't modify case, since we cannot know whether it\\n # is a proper noun, a sentence start, a title word, a spell \\n # error, etc.\\n\\n self.chain.handle_sentence(sentence, ctxinfo)\",\n \"def test_is_an_element_caseinsensitive_name():\\n for el in roentgen.elements['name']:\\n assert is_an_element(el.upper())\\n assert is_an_element(el.lower())\\n assert is_an_element(el.capitalize())\",\n \"def case_sensitive_names(self) -> pulumi.Output[bool]:\\n return pulumi.get(self, \\\"case_sensitive_names\\\")\",\n \"def case_sensitive_names(self) -> Optional[pulumi.Input[bool]]:\\n return pulumi.get(self, \\\"case_sensitive_names\\\")\",\n \"def case_sensitive_names(self) -> Optional[pulumi.Input[bool]]:\\n return pulumi.get(self, \\\"case_sensitive_names\\\")\",\n \"def case_sensitive(self):\\n\\n return True\",\n \"def searchable(query):\\n if query is None:\\n return ''\\n return strip_accents(query).lower().strip()\",\n \"def test_spires_syntax_detected_naked_author_leading_spaces(self):\\n converter = search_engine_query_parser.SpiresToInvenioSyntaxConverter()\\n spi_search = converter.is_applicable(\\\" author ellis\\\")\\n self.assertEqual(spi_search, True)\",\n \"def test_correct_dataset_found_by_case_insensitive_name(self):\\n dataset_name = 'my_unlikely_dataset_name'\\n dataset = factories.SourceDatasetFactory.create(dataset_name=dataset_name)\\n url = self.get_url()\\n response = self.client.get(url, {'q': dataset_name.upper()})\\n returned_pks = get_autocomplete_view_ids(response)\\n self.assertEqual(returned_pks, [dataset.i_id])\",\n \"def test_correct_dataset_found_by_case_insensitive_name(self):\\n dataset_name = 'my_unlikely_dataset_name'\\n dataset = factories.SourceDatasetFactory.create(dataset_name=dataset_name)\\n url = self.get_url()\\n response = self.client.get(url, {'q': dataset_name.upper()})\\n returned_pks = get_autocomplete_view_ids(response)\\n self.assertEqual(returned_pks, [dataset.i_id])\",\n \"def transform_key(self, key):\\n return key.lower()\",\n \"def good_word(self, word):\\r\\n return word.strip().lower()\",\n \"def test_lowercase(self):\\n form_data = self.form_data('A=R7-%=K?K@B^!9Q8=C+')\\n form = self.form(data=form_data, user=self.u)\\n self.assertFalse(form.is_valid())\",\n \"def test_first_author_full_initial(self):\\n inv_search = 'firstauthor:\\\"klebanov, ig* r*\\\" or exactfirstauthor:\\\"klebanov, i r\\\"'\\n spi_search = \\\"find fa klebanov, ig.r.\\\"\\n self._compare_searches(inv_search, spi_search)\",\n \"def test_author_reverse(self):\\n invenio_search = 'author:\\\"ellis, j*\\\"'\\n spires_search = 'find a j ellis'\\n self._compare_searches(invenio_search, spires_search)\",\n \"def keep_lowercase(str_list):\",\n \"def handle_sentence_simple(self, sentence, ctxinfo):\\n global text_version\\n global moses_version\\n global lower_attr\\n \\n for w in sentence :\\n setattr(w, lower_attr, getattr(w, lower_attr).lower())\\n self.chain.handle_sentence(sentence, ctxinfo)\",\n \"def test_force_field_case(self):\\n default_case = ForceField(\\\"smirnoff99Frosst-1.1.0.offxml\\\")\\n lower_case = ForceField(\\\"smirnoff99frosst-1.1.0.offxml\\\")\\n\\n assert hash(default_case) == hash(lower_case)\",\n \"def unverifiable(self, resp):\\n return any(a in str(resp).lower() for a in UNVERIFIABLE_KEYWORDS)\",\n \"def test_find_first_author(self):\\n inv_search = 'firstauthor:ellis'\\n spi_search = 'find fa ellis'\\n self._compare_searches(inv_search, spi_search)\",\n \"def _case_insensitive(s: str):\\n return s.lower()\",\n \"def str_islower__Rope(space, w_self):\\n l = w_self._node.length()\\n \\n if l == 0:\\n return space.w_False\\n cased = False\\n iter = rope.ItemIterator(w_self._node)\\n for idx in range(l):\\n c = iter.nextchar()\\n if c.isupper():\\n return space.w_False\\n elif not cased and c.islower():\\n cased = True\\n return space.newbool(cased)\",\n \"def islower(self) -> bool:\\n pass\",\n \"def test_correct_dataset_found_by_case_insensitive_name(self):\\n dataset_name = 'my_unlikely_dataset_name'\\n dataset = factories.SourceDatasetFactory.create(\\n dataset_name=dataset_name,\\n source_study_version=self.source_study_version\\n )\\n url = self.get_url(self.study.pk)\\n response = self.client.get(url, {'q': dataset_name.upper()})\\n returned_pks = get_autocomplete_view_ids(response)\\n self.assertEqual(returned_pks, [dataset.i_id])\",\n \"def test_correct_dataset_found_by_case_insensitive_name(self):\\n dataset_name = 'my_unlikely_dataset_name'\\n dataset = factories.SourceDatasetFactory.create(\\n dataset_name=dataset_name,\\n source_study_version=self.source_study_version\\n )\\n url = self.get_url(self.study.pk)\\n response = self.client.get(url, {'q': dataset_name.upper()})\\n returned_pks = get_autocomplete_view_ids(response)\\n self.assertEqual(returned_pks, [dataset.i_id])\",\n \"def proper_title_case(s):\\n nocaps = [\\\"the\\\"] # This needs to be extended.\",\n \"def lowercase_text(text):\\n newText = format_lower_case(text)\\n Text(\\\"%(text)s\\\").execute({\\\"text\\\": newText})\",\n \"def test_id_and_prefix_from_different_cases_gets_both(self):\\n td = self.create_testdata()\\n res = self.filter([u\\\"pre\\\", unicode(td[\\\"cv2\\\"].case.id)])\\n\\n self.assertEqual(\\n Set([x.name for x in res.all()]),\\n Set([\\\"CV 1\\\", \\\"CV 2\\\"]),\\n )\",\n \"def LOWER(text):\\n return text.lower()\",\n \"def test_spires_syntax_detected_naked_author(self):\\n converter = search_engine_query_parser.SpiresToInvenioSyntaxConverter()\\n spi_search = converter.is_applicable(\\\"author ellis\\\")\\n self.assertEqual(spi_search, True)\",\n \"def clean_fields(self, *args, **kwargs):\\n if self.saan:\\n self.saan = self.saan.upper() # only in CWR, uppercase anyway\\n super().clean_fields(*args, **kwargs)\",\n \"def _lower(self, mapping):\\n _mapping = {}\\n for k, v in sorted(mapping.items()):\\n k = k.lower()\\n if k not in _mapping:\\n _mapping[k] = v\\n return _mapping\",\n \"def force_lowercase(etl, field_names, **kwargs):\\r\\n import arcetl\\r\\n func = functools.partial(\\r\\n etl.transform, transformation=arcetl.attributes.update_by_function,\\r\\n function=value.force_lowercase, **kwargs\\r\\n )\\r\\n tuple(func(field_name=name) for name in field_names)\",\n \"def LCase(text):\\n return text.lower()\",\n \"def test_refersto_author_multi_name(self):\\n inv_search = 'author:ellis refersto:author:\\\"parke, s. j.\\\"'\\n spi_search = 'find a ellis and refersto author \\\"parke, s. j.\\\"'\\n self._compare_searches(inv_search, spi_search)\",\n \"def lower_caser(self, sentence):\\n return sentence.strip().lower()\",\n \"def toLowerCase(self) -> None:\\n self.text = self.text.lower()\",\n \"def _ci_key(self, key: str) -> str:\\n # pylint: disable=no-self-use\\n return key.lower()\",\n \"def _ci_key(self, key: str) -> str:\\n # pylint: disable=no-self-use\\n return key.lower()\",\n \"def rl_s(rl):\\r\\n c.execute(\\\"SELECT * FROM personnel WHERE role=:role COLLATE NOCASE\\\", {'role': rl})\\r\\n return c.fetchall()\",\n \"def applies_capitalization(self, token_list, original_sentence):\\n new_token_list = []\\n original_token_list = original_sentence.split(\\\" \\\")\\n for idx, token in enumerate(token_list):\\n if idx < len(original_token_list):\\n if token.lower() == original_token_list[idx].lower():\\n new_token_list.append(original_token_list[idx])\\n else:\\n new_token_list.append(token)\\n else:\\n new_token_list.append(token)\\n\\n return new_token_list\",\n \"def change_case(word):\\n return word.upper() if case == \\\"upper\\\" else word.lower()\",\n \"def preprocess(text):\\n return text.lower()\",\n \"def entity_prefix(self):\",\n \"def test_find_first_author_initial(self):\\n inv_search = 'firstauthor:\\\"ellis, j*\\\"'\\n spi_search = 'find fa j ellis'\\n self._compare_searches(inv_search, spi_search)\",\n \"def _get_fields(self):\\n fields = self.table[0]\\n fields = filter(None.__ne__, fields)\\n return list(map(str.lower, fields))\",\n \"def testEmailIsLowercase(self):\\r\\n res = self.app.post(\\r\\n '/signup_process',\\r\\n params={\\r\\n 'email': 'CAPITALTesting@Dummy.cOm'\\r\\n }\\r\\n )\\r\\n self.assertIn('capitaltesting@dummy.com', res.body)\",\n \"def main():\\n username = str(input())\\n print(str.lower(username))\",\n \"def lowercase(self, sent):\\n SPECIAL_TAG_PREFIX = ur\\\"__\\\"\\n _sent = []\\n for w in sent:\\n # make sure w is in network vocabulary\\n if not w.startswith(SPECIAL_TAG_PREFIX) and \\\\\\n w.lower() in self.word_vectors.getVocab():\\n _sent.append(w.lower())\\n elif w.startswith(SPECIAL_TAG_PREFIX) and \\\\\\n w in self.word_vectors.getVocab():\\n _sent.append(w)\\n else:\\n _sent.append( self.word_vectors.OOV_SYMBOL )\\n return _sent\",\n \"def SpssLower(*args):\\n\\tSpssMapToVar(\\\"lower\\\", args)\\n\\t# Does not perform EXECUTE\",\n \"def caseSensitive(self):\\n return self.__caseSensitive\",\n \"def preprocess(tokens):\\n result = []\\n for token in tokens:\\n result.append(token.lower())\\n return result\",\n \"def test_case_sensitive() -> None:\\n tknzr = WsTknzr(is_uncased=False, max_vocab=-1, min_count=0)\\n tknzr.build_vocab(['a', 'A'])\\n assert tknzr.tk2id == {\\n BOS_TK: BOS_TKID,\\n EOS_TK: EOS_TKID,\\n PAD_TK: PAD_TKID,\\n UNK_TK: UNK_TKID,\\n 'a': max(BOS_TKID, EOS_TKID, PAD_TKID, UNK_TKID) + 1,\\n 'A': max(BOS_TKID, EOS_TKID, PAD_TKID, UNK_TKID) + 2,\\n }\",\n \"def test_for_case_insensitive(self):\\n Pet(0, \\\"Fido\\\", \\\"DOG\\\").save()\\n Pet(0, \\\"Kitty\\\", \\\"CAT\\\").save()\\n pets = Pet.find_by_name(\\\"fido\\\")\\n self.assertNotEqual(len(pets), 0)\\n self.assertEqual(pets[0].name, \\\"Fido\\\")\\n pets = Pet.find_by_category(\\\"cat\\\")\\n self.assertNotEqual(len(pets), 0)\\n self.assertEqual(pets[0].category, \\\"CAT\\\")\",\n \"def is_case_sensitive(text):\\n return text.lower() in AVRO_CASESENSITIVES\",\n \"def process(self, s):\\n # modified for project...\\n return s.upper()\",\n \"def __compare_lowercase(self, dn, dn_list):\\n\\t\\tfor d in dn_list:\\n\\t\\t\\tif dn.lower() == d.lower():\\n\\t\\t\\t\\treturn True\\n\\t\\treturn False\",\n \"def task_1_fix_names_start_letter(data: DT) -> DT:\\n for dic in data:\\n if dic.get('name'):\\n dic['name'] = dic['name'].capitalize()\\n return data\",\n \"def record(aline):\\n # delect the Illustration\\n bodylst = aline.split('[Illustration]') \\n linestr = functools.reduce(lambda x, y : x + y, bodylst) \\n \\n # handle punctuation & capitalization\\n punclst = [i for i in string.punctuation]\\n punclst.remove(\\\"'\\\") \\n punclst.remove('-')\\n for i in punclst:\\n linestr = linestr.replace(i,' ')\\n alst = linestr.split()\\n txtlst = [i.lower() for i in alst]\\n # Considering the capitalization\\n \\n # record the words found and update worddict\\n for j in txtlst:\\n if j not in worddict:\\n worddict.update({j:1})\\n else:\\n worddict[j] += 1\",\n \"def findentity(string):\\r\\n for x in entitylist:\\r\\n if x in string:\\r\\n print(f\\\"(Doc.{i})--Entity = {x.title()}\\\")\\r\\n break\",\n \"def test_distribution_with_many_clauses(self):\\n spi_search = \\\"find a mele and brooks and holtkamp and o'connell\\\"\\n inv_search = \\\"author:mele author:brooks author:holtkamp author:o'connell\\\"\\n self._compare_searches(inv_search, spi_search)\",\n \"def snake_case(value: str, **kwargs: Any) -> str:\\n return \\\"_\\\".join(map(str.lower, split_words(value)))\",\n \"def get_casing(word):\\n if len(word) == 0:\\n return \\\"other\\\"\\n elif word.isdigit(): # Is a digit\\n return \\\"numeric\\\"\\n elif word.islower(): # All lower case\\n return \\\"allLower\\\"\\n elif word.isupper(): # All upper case\\n return \\\"allUpper\\\"\\n # is a title, initial char upper, then all lower\\n elif word[0].isupper():\\n return \\\"initialUpper\\\"\\n\\n return \\\"other\\\"\",\n \"def read_words(self):\\n # If lowercase is True, it is already handled when we read the dataset.\\n # If it is False, the unit must be other than word, so that we need to lowercase\\n # the data since the word lookup table is for target words which are\\n # always in lowercase.\\n data = self.train_data\\n if not self.lowercase or self.unit == \\\"oracle\\\":\\n tmp_data = []\\n for word in data:\\n if self.unit == \\\"oracle\\\":\\n if '+' in word:\\n tags = word.split('+')\\n word_tag = tags[0].split(':')\\n word = word_tag[1]\\n if self.unit == \\\"morpheme\\\":\\n word = re.sub(\\\"@@\\\", \\\"\\\", word)\\n word = word.lower()\\n tmp_data.append(word)\\n data = tmp_data\\n return data\",\n \"def icontains(self, other):\",\n \"def test_field_code(self):\\n inv_search = \\\"subject:p\\\"\\n spi_search = \\\"f f p\\\"\\n self._compare_searches(inv_search, spi_search)\",\n \"def akronom():\\n akro_str = input(\\\"Write a sentance with both upper case and lower case letters. \\\")\\n akronomed_str = \\\"\\\"\\n for letter in akro_str:\\n if str.isupper(letter):\\n akronomed_str += letter\\n\\n print(akronomed_str)\",\n \"def test_type_code(self):\\n inv_search = \\\"collection:review\\\"\\n spi_search = \\\"find tc review\\\"\\n self._compare_searches(inv_search, spi_search)\\n inv_search = \\\"collection:review\\\"\\n spi_search = \\\"find ps review\\\"\\n self._compare_searches(inv_search, spi_search)\\n inv_search = \\\"collection:review\\\"\\n spi_search = \\\"find scl review\\\"\\n self._compare_searches(inv_search, spi_search)\",\n \"def test_correct_trait_found_by_case_insensitive_name(self):\\n query_trait = self.source_traits[0]\\n url = self.get_url(self.study.pk)\\n response = self.client.get(url, {'q': query_trait.i_trait_name.upper()})\\n returned_pks = get_autocomplete_view_ids(response)\\n # Get traits that have the same trait name, to account for how small the word lists for faker are.\\n traits_with_name = models.SourceTrait.objects.filter(i_trait_name=query_trait.i_trait_name)\\n self.assertEqual(len(returned_pks), len(traits_with_name))\\n for name_trait in traits_with_name:\\n self.assertIn(name_trait.pk, returned_pks)\",\n \"def test_correct_trait_found_by_case_insensitive_name(self):\\n query_trait = self.source_traits[0]\\n url = self.get_url(self.study.pk)\\n response = self.client.get(url, {'q': query_trait.i_trait_name.upper()})\\n returned_pks = get_autocomplete_view_ids(response)\\n # Get traits that have the same trait name, to account for how small the word lists for faker are.\\n traits_with_name = models.SourceTrait.objects.filter(i_trait_name=query_trait.i_trait_name)\\n self.assertEqual(len(returned_pks), len(traits_with_name))\\n for name_trait in traits_with_name:\\n self.assertIn(name_trait.pk, returned_pks)\",\n \"def isin(hi):\\n return getme.lower() in hi.lowercase\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6237965","0.62361765","0.6010704","0.5874474","0.5844636","0.5814212","0.5812037","0.5754486","0.5722984","0.56905735","0.56733185","0.5665827","0.56259596","0.5613765","0.55999416","0.5576687","0.5573347","0.5565344","0.5532522","0.55220807","0.5493951","0.54656917","0.5461847","0.54539144","0.5414965","0.5404626","0.5404409","0.53974956","0.5363796","0.53629065","0.53626835","0.5340243","0.53390414","0.53348434","0.53348434","0.5313826","0.5307246","0.5305987","0.5301616","0.5301616","0.5271233","0.52656406","0.5259675","0.52589786","0.5250444","0.5248149","0.52357376","0.5219197","0.52182466","0.5216359","0.5211069","0.5209402","0.52078813","0.5205035","0.5205035","0.517981","0.5179437","0.5178341","0.51638687","0.5147578","0.51415795","0.51293623","0.5109214","0.51070166","0.51060766","0.51021284","0.50978464","0.50945824","0.50945824","0.5089768","0.5081971","0.50808376","0.5074431","0.5066992","0.50607854","0.5057047","0.50534254","0.50513023","0.5047215","0.5042814","0.50423956","0.5040339","0.503949","0.50368065","0.5035971","0.5033418","0.5032202","0.5031541","0.5030431","0.5024849","0.5022322","0.5017523","0.501423","0.50115293","0.5010957","0.50029016","0.5001216","0.49966687","0.498882","0.498882","0.49815193"],"string":"[\n \"0.6237965\",\n \"0.62361765\",\n \"0.6010704\",\n \"0.5874474\",\n \"0.5844636\",\n \"0.5814212\",\n \"0.5812037\",\n \"0.5754486\",\n \"0.5722984\",\n \"0.56905735\",\n \"0.56733185\",\n \"0.5665827\",\n \"0.56259596\",\n \"0.5613765\",\n \"0.55999416\",\n \"0.5576687\",\n \"0.5573347\",\n \"0.5565344\",\n \"0.5532522\",\n \"0.55220807\",\n \"0.5493951\",\n \"0.54656917\",\n \"0.5461847\",\n \"0.54539144\",\n \"0.5414965\",\n \"0.5404626\",\n \"0.5404409\",\n \"0.53974956\",\n \"0.5363796\",\n \"0.53629065\",\n \"0.53626835\",\n \"0.5340243\",\n \"0.53390414\",\n \"0.53348434\",\n \"0.53348434\",\n \"0.5313826\",\n \"0.5307246\",\n \"0.5305987\",\n \"0.5301616\",\n \"0.5301616\",\n \"0.5271233\",\n \"0.52656406\",\n \"0.5259675\",\n \"0.52589786\",\n \"0.5250444\",\n \"0.5248149\",\n \"0.52357376\",\n \"0.5219197\",\n \"0.52182466\",\n \"0.5216359\",\n \"0.5211069\",\n \"0.5209402\",\n \"0.52078813\",\n \"0.5205035\",\n \"0.5205035\",\n \"0.517981\",\n \"0.5179437\",\n \"0.5178341\",\n \"0.51638687\",\n \"0.5147578\",\n \"0.51415795\",\n \"0.51293623\",\n \"0.5109214\",\n \"0.51070166\",\n \"0.51060766\",\n \"0.51021284\",\n \"0.50978464\",\n \"0.50945824\",\n \"0.50945824\",\n \"0.5089768\",\n \"0.5081971\",\n \"0.50808376\",\n \"0.5074431\",\n \"0.5066992\",\n \"0.50607854\",\n \"0.5057047\",\n \"0.50534254\",\n \"0.50513023\",\n \"0.5047215\",\n \"0.5042814\",\n \"0.50423956\",\n \"0.5040339\",\n \"0.503949\",\n \"0.50368065\",\n \"0.5035971\",\n \"0.5033418\",\n \"0.5032202\",\n \"0.5031541\",\n \"0.5030431\",\n \"0.5024849\",\n \"0.5022322\",\n \"0.5017523\",\n \"0.501423\",\n \"0.50115293\",\n \"0.5010957\",\n \"0.50029016\",\n \"0.5001216\",\n \"0.49966687\",\n \"0.498882\",\n \"0.498882\",\n \"0.49815193\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":88299,"cells":{"query":{"kind":"string","value":"from the documents retrieved, score= exp(score) and then normalize according to sum normalization file is an input file claim num, alpha, beta for each alpha beta, create and than add to it the different claims' doc scores"},"document":{"kind":"string","value":"def normalize_doc_scores():\n# doc_res_files_path = base_path+r\"claimLM_docLM_doc_ret_output\"\n claims_file_counters_dict = {} #for each claim numas key, have the val a counter - if not 110 per claim -> problem!\n doc_res_files_path = linux_base_path+\"/claimLM_docLM_doc_ret_output\"\n# doc_res_files_path = base_path +\"\\\\claimLM_docLM_doc_ret_output\"\n for filename in os.listdir(doc_res_files_path):\n# filename = r\"C:\\study\\technion\\MSc\\Thesis\\Y!\\support_test\\baseline_clmLMdocLM\\claimLM_docLM_doc_ret_output\\doc_res_alpha_0_beta_0.2_clm_47\"\n print \"filename:\"+filename\n doc_score_dict = {} # key is docno, val is the exp(score)\n curr_claim = filename.split(\"_clm_\")[1]\n curr_alpha = filename.split(\"_alpha_\")[1].split(\"_beta_\")[0]\n curr_beta = filename.split(\"_beta_\")[1].split(\"_clm_\")[0]\n curr_dict_name = \"docs_scores_norm_alpha_\"+curr_alpha+\"_beta_\"+curr_beta+\"_clm_\"+curr_claim+\"_dict\"\n try:\n# if os.path.exists(base_path+\"\\\\docs_norm_scores_dicts\\\\\"+curr_dict_name+\"_sorted\"):\n# print curr_dict_name +\" already there\"\n# continue\n# else:\n# print \"applying on \"+curr_dict_name\n # check if the curr alpha beta dict exists already\n doc_file = open(doc_res_files_path+\"/\"+filename,'r')\n doc = doc_file.read().strip() # score\n scores_sum = 0.0\n if curr_claim in claims_file_counters_dict.keys():\n claims_file_counters_dict[curr_claim] += 1 \n else:\n claims_file_counters_dict[curr_claim] = 1\n for i, line in enumerate(doc.split('\\n')):\n data = line.split(' ')\n query_Id = data[0]\n doc_id = data[2]\n norm_score = math.exp(float(data[4]))\n scores_sum += norm_score\n if os.path.exists(curr_dict_name) == True:\n doc_score_dict = read_pickle(curr_dict_name)\n if doc_id in doc_score_dict:\n raise Exception(\"DOC ID %s already in dict\" % doc_id)\n doc_score_dict[query_Id,doc_id] = norm_score\n # divide by scores_sum\n for ((query_Id,doc_id),score) in doc_score_dict.items():\n new_score = float(float(score)/float(scores_sum))\n doc_score_dict[query_Id,doc_id] = new_score\n #rank according to score\n doc_score_dict_sorted = collections.OrderedDict(sorted(doc_score_dict.items(), key= lambda x: (-int(x[0][0]),x[1]),reverse=True))\n save_pickle(linux_base_path+\"/\"+\"docs_norm_scores_dicts/\"+curr_dict_name+\"_sorted\",doc_score_dict_sorted)\n# save_pickle(base_path+ \"\\\\docs_norm_scores_dicts\"+curr_dict_name+\"_sorted\",doc_score_dict_sorted)\n except Exception as err: \n sys.stderr.write('problem in normalize_doc_scores in file:'+ filename) \n print err.args \n print err \n for (claim_num,counter) in claims_file_counters_dict.items():\n if counter!=110:\n print claim_num+\" not 110 files , but \" +str(counter) +\" files\""},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def normalize_sen_scores_corpus_smoothing():\n param_len = 10*11# for alpha*beta =110 \n k_len = 1\n# sen_res_files_path = linux_base_path+r\"/claimLM_senLM_sen_ret_output_corpus_smoothing_corpus_beta_\"+str(corpus_beta)\n sen_res_files_path = base_path+r\"\\claimLM_senLM_sen_ret_output_corpus_smoothing_corpus_beta_\"+str(corpus_beta)+\"\\\\\"\n norm_sen_res_path = base_path+r\"\\sen_norm_scores_dicts_corpus_smoothing_corpus_beta_\"+str(corpus_beta)+\"\\\\\"\n \n claims_file_counters_dict = {} #for each claim numas key, have the val a counter - if not alpha_beta_len*k_lem per claim -> problem!\n claim_list = [4]#,41,42,45,46,47,50,51,53,54,55,57,58,59,60,61,62,66,69,70,79,80]\n top_k_docs_vals = [50]# ,100,500] \n for claim_num in claim_list:\n for k_val in top_k_docs_vals:\n for alpha in range(4,5,1):\n for beta in range(8,9,1):\n (alpha_f,beta_f) = turn_to_float([alpha,beta]) \n filename = \"sen_res_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_top_k_docs_\"+str(k_val)+\"_clm_\"+str(claim_num)\n sen_file = open(sen_res_files_path+filename,'r')\n print \"in filename: \"+filename\n sen_score_dict = {} # key is docno, val is the exp(score)\n curr_dict_name = \"sen_scores_norm_clm_\"+str(claim_num)+\"_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_top_k_docs_\"+str(k_val)+\"_dict\"\n sen = sen_file.read().strip() # score\n scores_sum = 0.0\n if claim_num in claims_file_counters_dict.keys():\n claims_file_counters_dict[claim_num] += 1 \n else:\n claims_file_counters_dict[claim_num] = 1\n for i, line in enumerate(sen.split('\\n')):\n if i%2==0: # a data line\n try:\n data = line.split(' ')\n query_Id = data[0]\n doc_id = data[2]\n if (data[4])!= \"nan\":\n norm_score = math.exp(float(data[4]))\n scores_sum += norm_score\n if os.path.exists(curr_dict_name) == True:\n sen_score_dict = read_pickle(curr_dict_name)\n if doc_id in sen_score_dict:\n raise Exception(\"DOC ID %s already in dict\" % doc_id)\n except Exception as err:\n sys.stderr.write('problem in filename:'+ filename +' line: '+line) \n print err.args \n print err\n else:\n if len(line) >0: \n sen_score_dict[query_Id,line] = (doc_id,norm_score)\n # divide by scores_sum\n for ((query_Id,sen),(doc_id,score)) in sen_score_dict.items():\n new_score = float(float(score)/float(scores_sum))\n sen_score_dict[query_Id,sen] = (doc_id,new_score)\n #rank according to score\n sen_score_dict_sorted = collections.OrderedDict(sorted(sen_score_dict.items(), key= lambda x: (-int(x[0][0]),x[1][1]),reverse=True))\n # save_pickle(base_path+r\"sen_norm_scores_dicts\"+\"\\\\\"+curr_dict_name+\"_sorted\",doc_score_dict_sorted)\n save_pickle(norm_sen_res_path+curr_dict_name+\"_sorted\",sen_score_dict_sorted) \n for (claim_num,counter) in claims_file_counters_dict.items():\n if counter!=(param_len*k_len):\n print str(claim_num)+\" not \"+str(param_len*k_len)+\" files , but \" +str(counter) +\" files\"\n print \"finished\"","def normalize_sen_scores_adj_sen():\n param_len = 10*11*55# alpha*beta*delta1*delta2, else just for alpha*beta =110 \n k_len = 1\n# sen_res_files_path = linux_base_path+r\"/claimLM_senLM_adjacent_sen_ret_output_corpus_beta_\"+str(corpus_beta)+\"/\"\n #norm_sen_res_path = linux_base_path+r\"/sen_norm_scores_dicts_adjacent_sen_corpus_beta_+str(corpus_beta)+\"/\"\n sen_res_files_path = base_path + r\"\\claimLM_senLM_adj_sen_ret_output_corpus_beta_\"+str(corpus_beta)+\"\\\\\" \n norm_sen_res_path = base_path + r\"\\sen_norm_scores_dicts_adjacent_sen_corpus_beta_\"+str(corpus_beta)+\"\\\\\"\n# sen_res_files_path = linux_base_path+r\"/claimLM_senLM_doc_ret_output\"\n claims_file_counters_dict = {} #for each claim numas key, have the val a counter - if not alpha_beta_len*k_lem per claim -> problem!\n claim_list = [4]#,41,42,45,46,47,50,51,53,54,55,57,58,59,60,61,62,66,69,70,79,80]\n #claim_list = [36,37,39]\n #claim_list = [40,41,42,45,46,47]\n #claim_list = [50,51,53,54]\n #claim_list = [55,57,58,59]\n #claim_list = [60,61,62,66]\n #claim_list = [70,79,80]\n top_k_docs_vals = [50]# ,100,500] \n for claim_num in claim_list:\n for k_val in top_k_docs_vals:\n for alpha in range(4,5,1):\n for beta in range(8,9,1):\n for delta_1 in range(9,10,1):\n for delta_2 in range(0,1,1):\n if not delta_1+delta_2 >9:\n (alpha_f,beta_f,delta_1_f,delta_2_f) = turn_to_float([alpha,beta,delta_1,delta_2]) \n filename = \"sen_res_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_delta1_\"+str(delta_1_f)+\"_delta2_\"+str(delta_2_f)+\"_top_k_docs_\"+str(k_val)+\"_clm_\"+str(claim_num)\n sen_file = open(sen_res_files_path+filename,'r')\n print \"in filename: \"+filename\n sen_score_dict = {} # key is docno, val is the exp(score)\n curr_dict_name = \"sen_scores_norm_clm_\"+str(claim_num)+\"_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_delta1_\"+str(delta_1_f)+\"_delta2_\"+str(delta_2_f)+\"_top_k_docs_\"+str(k_val)+\"_dict\"\n sen = sen_file.read().strip() # score\n scores_sum = 0.0\n if claim_num in claims_file_counters_dict.keys():\n claims_file_counters_dict[claim_num] += 1 \n else:\n claims_file_counters_dict[claim_num] = 1\n for i, line in enumerate(sen.split('\\n')):\n if i%2==0: # a data line\n try:\n data = line.split(' ')\n query_Id = data[0]\n doc_id = data[2]\n if (data[4])!= \"nan\":\n norm_score = math.exp(float(data[4]))\n scores_sum += norm_score\n if os.path.exists(curr_dict_name) == True:\n sen_score_dict = read_pickle(curr_dict_name)\n if doc_id in sen_score_dict:\n raise Exception(\"DOC ID %s already in dict\" % doc_id)\n except Exception as err:\n sys.stderr.write('problem in filename:'+ filename +' line: '+line) \n print err.args \n print err\n else:\n if len(line) >0: \n sen_score_dict[query_Id,line] = (doc_id,norm_score)\n # divide by scores_sum\n for ((query_Id,sen),(doc_id,score)) in sen_score_dict.items():\n new_score = float(float(score)/float(scores_sum))\n sen_score_dict[query_Id,sen] = (doc_id,new_score)\n #rank according to score\n sen_score_dict_sorted = collections.OrderedDict(sorted(sen_score_dict.items(), key= lambda x: (-int(x[0][0]),x[1][1]),reverse=True))\n # save_pickle(base_path+r\"sen_norm_scores_dicts\"+\"\\\\\"+curr_dict_name+\"_sorted\",doc_score_dict_sorted)\n save_pickle(norm_sen_res_path+curr_dict_name+\"_sorted\",sen_score_dict_sorted) \n for (claim_num,counter) in claims_file_counters_dict.items():\n if counter!=(param_len*k_len):\n print str(claim_num)+\" not \"+str(param_len*k_len)+\" files , but \" +str(counter) +\" files\"\n print \"finished\"","def writeNormScore(self,fin,fout):\n\n for line in fin:\n [sv, en, score] = re.split(r'\\t|,',line)\n self.count[sv][en] += float(score)\n self.en_sum[en] += float(score)\n self.sv_sum[sv] += float(score)\n\n for sv, ens in self.count.iteritems():\n for en in ens.keys():\n fout.write(sv + \",\" + en + \"\\t\" + str(self.count[sv][en] / self.sv_sum[sv] * self.en_sum[en]) + \"\\n\")","def merge_all_claims_norm_dicts_for_docs(): \n# docs_norm_scores_dicts_path = base_path+\"\\\\docs_norm_scores_dicts\"\n docs_norm_scores_dicts_path = linux_base_path+\"/docs_norm_scores_dicts\"\n# all_claims_norms_scores_merged_dict = base_path +\"\\\\all_claims_norms_scores_merged_dict\"\n all_claims_norms_scores_merged_dict = linux_base_path +\"/all_claims_norms_scores_merged_dict\"\n for alpha in range(0,11,1):\n for beta in range(0,10,1):\n docs_scores_all_claims = {}\n for filename in os.listdir(docs_norm_scores_dicts_path):\n (alpha_f,beta_f)=turn_to_float([alpha,beta])\n if \"_alpha_\"+str(alpha_f)+\"_\" in filename and \"_beta_\"+str(beta_f)+\"_\" in filename:\n curr_dict = read_pickle(docs_norm_scores_dicts_path+\"/\"+filename)\n docs_scores_all_claims = dict(docs_scores_all_claims.items() + curr_dict.items()) #merge dicts\n save_pickle(all_claims_norms_scores_merged_dict+\"/docs_norm_scores_all_claims_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f),docs_scores_all_claims)","def test_score_across_multiple_documents(self):\n\n \"\"\"\n Create the test data.\n \"\"\"\n tokenizer = Tokenizer(stem=False)\n posts = [\n \"Erdogan with threats to attack regime forces 'everywhere' in Syria\",\n \"Syria reacts to Erdogan's threats: Damascus says Erdogan 'disconnected from reality' after threats\",\n ]\n\n corpus = [ Document(post, tokenizer.tokenize(post)) for post in posts ]\n\n extractor = TokenExtractor(tokenizer=tokenizer)\n scorer = TFIDFScorer({ 'erdogan': 1, 'threats': 2 }, 10)\n candidates = extractor.extract(corpus)\n scores = scorer.score(candidates, normalize_scores=False)\n self.assertEqual(3 * math.log(10 / 1, 10), scores.get('erdogan'))\n self.assertEqual(3 * math.log(10 / 2, 10), scores.get('threats'))","def pseudo_relevance_feedback(bm25_doc_scores, q_dict, inv_index, new_query_filename):\n\n # Creating a copy of the dictionary passed in as argument.\n # Creating a shallow copy\n pseudo_scores = bm25_doc_scores.copy()\n\n # The parameters used in the Pseudo Relevance formula\n beta = 0.75\n gamma = 0.15\n alpha = 1\n\n # k -> Number of documents to consider for the feedback loop\n k = 10\n\n # Number of terms to be appended to the original query after\n # the query has ben enriched\n enrichment_terms = 30\n\n # NOTE: Idea behind Pseudo-relevance feedback:\n # Moves the new query being generated towards the centroid of the relevant\n # documents and away from the centroid of the non-relevant_docs\n\n # query_dict is of the form\n # {q_id: < Parsed Query >, q_id_2: < Parsed Query 2 >}\n\n # Create a file handler to the file where we will be writing all the\n # enriched queries\n fp = open(new_query_filename, \"w+\")\n\n my_query_dict = {}\n count = 1\n\n for q in q_dict:\n # print(\"Considering query \", q)\n sorted_scores = pseudo_scores[q]\n\n # Create a query vector\n # is a dictionary of the form\n query_vector = generate_query_vector(q, q_dict, inv_index)\n\n # Create a relevance vector\n relevance_vector = generate_rel_non_rel_vector(inv_index,\n sorted_scores, 0, k)\n\n corpus_len = len(sorted_scores)\n\n non_relevance_vector = generate_rel_non_rel_vector(inv_index,\n sorted_scores,\n k+1, corpus_len)\n\n # Get the magnitude of both the vectors\n rel_vec_mag = get_magnitude_vector(relevance_vector)\n non_rel_vec_mag = get_magnitude_vector(non_relevance_vector)\n\n # GENERATE THE NEW QUERY USING THE PSEUDO RELEVANCE FORMULA\n new_query = {}\n for item in inv_index:\n new_query[item] = alpha * query_vector[item] + (beta / rel_vec_mag) * relevance_vector[item] - (gamma / non_rel_vec_mag) * non_relevance_vector[item]\n\n sorted_expansion_query_terms = [(k, new_query[k]) for k in\n sorted(new_query,\n key=new_query.get,\n reverse=True)]\n\n # OK, we have now gotten the expanded query\n # There might be some terms that are not in the original query\n # We have to append such terms to the original query\n\n # Create a copy of the original query\n original_query = q_dict[q]\n new_query = original_query\n for i in range(enrichment_terms):\n term, term_freq = sorted_expansion_query_terms[i]\n if term not in original_query:\n new_query += (\" \" + term)\n\n # Write this query term to a new text_file\n my_query_dict[count] = new_query\n fp.write(new_query + \"\\n\")\n\n count += 1\n\n # Now we have gotten new queries (expanded ato a maximum of 30 terms)\n # This is query enrichment\n # Now we have to calculate BM25 scores and rank documents according\n # to these queries\n\n return redundant_pseudo_bm25(url_text_dict, inv_index, relevance_text_file, my_query_dict, rel_info_enabled=True)","def redundant_pseudo_bm25(collection_data, indexed_data, relevant_docs_fname, query_dict, rel_info_enabled=False):\n\n # Create another dictionary that will hold the doc_id and their BM25 score\n # Note: We will maintain the bm_25scores dictionary in the form\n # {query_1 : {doc_id_1 : score_for_doc_id_1, doc_id_2: score_for_doc_id_2}\n # ...query_64 : {}}\n new_bm25_scores_dict = {}\n\n # Populate the dictionary with empty inner dictionaries\n for i in range(1, 65):\n new_bm25_scores_dict[i] = {}\n\n # Note: Indexed data is of the form\n # { term : { doc_id : count_in_doc } }\n\n # Now the json data is present in the dictionaries\n # Note: There is information given about relevance in file cacm.rel.txt\n # file. We need to get the relevance information\n # rel_docs_dict i sof the form:\n # {query_numb: [ < list of all docs relevant to query 1]}\n rel_docs_dict = get_relevance_information(relevant_docs_fname)\n\n # query_dict is of the form\n # {q_id: < Parsed Query >, q_id_2: < Parsed Query 2 >}\n\n # N -> Total number of collections in the data\n N = len(collection_data)\n\n # The constants\n k1 = 1.2\n b = 0.75\n k2 = 100\n\n avg_doc_length = get_avg_doc_length(collection_data)\n\n for q in query_dict:\n # R -> Total number of relevant documents for this query\n\n if rel_info_enabled:\n # Accomodation prior( relevance information )\n # print(\"Query we are considering is \", q)\n R = len(rel_docs_dict[q])\n else:\n R = 0\n\n # Store the relevant documents in a list\n rel_docs_list = rel_docs_dict[q]\n\n # TODO: Calculate r_i -> Refer to the Piazza post( Required for Phase3)\n\n for term in query_dict[q].split():\n # If this query term is present in our index\n if term in indexed_data:\n\n # n_i -> The number of documents containing this query term\n # for each document containing this query term\n n_i = len(indexed_data[term])\n\n # q_i -> frequency of this term in the entire query\n q_fi = query_dict[q].split().count(term)\n\n # r_i -> number of relevant docs containing term i\n r_i = 0\n if rel_info_enabled:\n r_i = calculate_r_i(rel_docs_list, indexed_data, term)\n\n for doc in indexed_data[term]:\n # f_i -> frequency of this term in the document\n # NOTE: In this way we are avoiding any\n # document having f_i as 0\n f_i = indexed_data[term][doc]\n K = k1 * ((1 - b) + b * len(\n collection_data[doc].split()) / avg_doc_length)\n z = ((k1 + 1) * f_i / (K + f_i)) * ((k2 + 1) * q_fi) / (\n k2 + q_fi)\n numerator = ((r_i + 0.5) / (R - r_i + 0.5)) * z\n denominator = (\n (n_i - r_i + 0.5) / (N - n_i - R + r_i + 0.5))\n temp_score = math.log(numerator / denominator)\n\n if doc in new_bm25_scores_dict[q]:\n new_bm25_scores_dict[q][doc] += temp_score\n else:\n new_bm25_scores_dict[q][doc] = temp_score\n\n sort_dict_according_to_scores(new_bm25_scores_dict)\n return new_bm25_scores_dict","def calc_doc_ret_MAP():\n \n# docs_norm_scores_dicts_path = linux_base_path+\"/docs_norm_scores_dicts\"\n claim_rel_docno_dict = read_pickle(\"claim_rel_docno_dict\") #key is clm, value is a set of the relevant docno\n# nDCG_MAP_res = base_path +\"\\\\nDCG_MAP_res\\\\\"\n# docs_norms_path = base_path+\"\\\\docs_norm_scores_dicts\\\\\"\n docs_norms_path = linux_base_path+\"/docs_norm_scores_dicts/\"\n nDCG_MAP_res = linux_base_path +\"/nDCG_MAP_res/\"\n \n AP_cut_off = 1000\n k_val = 100\n p = 10\n log = open(\"calc_doc_avg_nDCG_MAP_log_k_top_docs_\"+str(k_val)+\"_at_\"+str(p),\"wb\")\n res_file = open(nDCG_MAP_res+\"doc_ret_nDCG_MAP_res_k_top_docs_\"+str(k_val)+\"_at_\"+str(p),\"wb\")\n# each_params_AVGnDCG_MAP_dict = {} #key is alpha,beta,k_docs,lambda and val is the avg nDCG and MAP across all claims together\n each_params_MAP_dict = {}\n# NDCG_AP_all_claims_all_param_values = {}\n AP_all_claims_all_param_values = {}\n best_avg_nDCG = 0\n best_MAP = 0 #across all claims in a given configuration, find the max measures\n \n# docs_norms_path = base_path+\"\\\\docs_norm_scores_dicts\\\\\"\n claims_dict = read_pickle(\"claim_dict\")\n #count the number of sentences that were retrived that are in the true data....sum for each claim, then average.\n \n \n for alpha in range(0,11,1): #change just for test!\n for beta in range(0,10,1):\n (alpha_f,beta_f) = turn_to_float([alpha,beta])\n NDCG_all_claims= {} #key is a claim, value is the nDCG\n AP_all_claims= {} \n AP_cut_off = 1000\n curr_filename = docs_norms_path+\"clm_key_ranked_list_of_docs_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)\n clm_key_ranked_list_of_docs_baseline = read_pickle(curr_filename) #key is qID and docid\n #need to turn it to a list of docs\n for clm in claim_list:\n try:\n# nDCG_score = utils_linux.calc_doc_emp_NDCG(curr_source,str(clm),clm_key_ranked_list_of_docs_baseline[clm],claim_rel_docno_dict[claims_dict[str(clm)]],p)\n# NDCG_all_claims[clm] = nDCG_score\n AP_score = utils_linux.calc_doc_AP_relevance(AP_cut_off,curr_source,clm,clm_key_ranked_list_of_docs_baseline[clm],claim_rel_docno_dict[claims_dict[str(clm)]])\n AP_all_claims[clm] = AP_score\n AP_all_claims_all_param_values[clm,alpha_f,beta_f,k_val] = AP_score\n except Exception as err: \n log.write('problem in calculations: in source: '+ curr_source+' in clm '+ claims_dict[str(clm)]+\" alpha:\"+str(alpha_f)+ \"beta:\"+str(beta_f)+\" \\n\" ) \n for arg in err.args:\n log.write(arg+\" \") \n log.write(\"\\n\") \n# average_NDCG = float(float(sum(NDCG_all_claims.values()))/float(len(NDCG_all_claims))) #across all claims...\n# if average_NDCG > best_avg_nDCG:\n# best_avg_nDCG = average_NDCG\n# best_avg_nDCG_configuration = (alpha_f,beta_f,k_val)\n MAP = float(float(sum(AP_all_claims.values()))/float(len(AP_all_claims)))\n if MAP > best_MAP:\n best_MAP = MAP\n best_MAP_configuration = (alpha_f,beta_f,k_val)\n each_params_MAP_dict[alpha_f,beta_f,k_val] = MAP\n utils_linux.save_pickle(nDCG_MAP_res+\"doc_ret_NDCG_all_claims_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_top_k_docs_\"+str(k_val)+\"_at_\"+str(p),NDCG_all_claims)\n utils_linux.save_pickle(nDCG_MAP_res+\"doc_ret_AP_all_claims_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_top_k_docs_\"+str(k_val),AP_all_claims)\n# res_file.write(\"alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_top_k_docs_\"+str(k_val)+\"|\"+\"AnDCG_\"+str(average_NDCG)+\"_MAP_\"+str(MAP)+\"\\n\")\n res_file.write(\"alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_top_k_docs_\"+str(k_val)+\"|_MAP_\"+str(MAP)+\"\\n\")\n save_pickle(nDCG_MAP_res+\"doc_ret_NDCG_AP_all_claims_all_param_values_k_top_docs_\"+str(k_val)+\"_at_\"+str(p),AP_all_claims_all_param_values)\n save_pickle(nDCG_MAP_res+\"doc_ret_each_params_AVGnDCG_MAP_dict_k_top_docs_\"+str(k_val)+\"_at_\"+str(p),each_params_MAP_dict)\n# best_row = \"best_avg_nDCG|\"+str(best_avg_nDCG)+\"|best_avg_nDCG_configuration|\"+str(best_avg_nDCG_configuration[0])+\",\"+str(best_avg_nDCG_configuration[1])+\",\"+str(best_avg_nDCG_configuration[3])+\",\"+str(best_avg_nDCG_configuration[2])+\"|\"\n best_row = \"best_MAP|\" +str(best_MAP)+\"|best_MAP_configuration|\"+str(best_MAP_configuration[0])+\",\"+str(best_MAP_configuration[1])+\",\"+str(best_MAP_configuration[2])\n res_file.write(best_row)\n res_file.close()\n log.close()","def normalise_es(score, distribution):\n\n # find average of all permutations from +ve distribution:\n exp_es_plus = numpy.mean([x for x in distribution if x >= 0])\n # find average of all permutations from -ve distribution:\n exp_es_minus = numpy.mean([x for x in distribution if x < 0])\n\n # normalise enrichment score:\n if score >= 0:\n nes = 1.0 * score / exp_es_plus\n else:\n nes = -1.0 * score / exp_es_minus\n\n # normalise permutation distribution:\n for res, posn in zip(distribution[:],range(len(distribution))):\n if res >= 0:\n distribution[posn] = res / exp_es_plus\n else:\n distribution[posn] = -1.0 * res / exp_es_minus\n return nes, distribution","def score(self, data):\n\n score_mappings = {\n \"0\": np.log(self.class_zero_doc_count / self.total_docs),\n \"1\": np.log(self.class_one_doc_count / self.total_docs)\n }\n\n features = self.featurize(data)\n\n for f in features:\n\n if(f[0] in self.class_zero):\n cond_prob_zero = np.log((self.class_zero[f[0]] + 1) / (self.class_zero_feature_count + len(self.vocab)))\n elif(f[0] in self.vocab):\n cond_prob_zero = np.log(1 / (self.class_zero_feature_count + len(self.vocab)))\n else:\n cond_prob_zero = 0\n\n if(f[0] in self.class_one):\n cond_prob_one = np.log((self.class_one[f[0]] + 1) / (self.class_one_feature_count + len(self.vocab)))\n elif(f[0] in self.vocab):\n cond_prob_one = np.log(1 / (self.class_one_feature_count + len(self.vocab)))\n else:\n cond_prob_one = 0\n\n score_mappings[\"0\"] += cond_prob_zero\n score_mappings[\"1\"] += cond_prob_one\n\n score_mappings[\"0\"] = np.exp(score_mappings[\"0\"])\n score_mappings[\"1\"] = np.exp(score_mappings[\"1\"])\n\n return score_mappings","def interpolate_doc_sen_score_adj_sen():\n print \"started interpolate_doc_sen_score\"\n# all_claims_norms_scores_merged_dict_docs = linux_base_path +\"/all_claims_norms_scores_merged_dict_docs\"\n# all_claims_norms_scores_merged_dict_sen = linux_base_path +\"/all_claims_norms_scores_merged_dict_adjacent_sen_corpus_beta_\"+str(corpus_beta)\n# final_sen_scores = linux_base_path + \"/final_sen_scores_adjacent_sen_corpus_beta_\"+str(corpus_beta)+\"/\"\n\n all_claims_norms_scores_merged_dict_docs = base_path +\"\\\\all_claims_norms_scores_merged_dict_docs\\\\\"\n all_claims_norms_scores_merged_dict_sen = base_path +\"\\\\all_claims_norms_scores_merged_dict_adjacent_sen_corpus_beta_\"+str(corpus_beta)+\"\\\\\"\n final_sen_scores = base_path + \"\\\\final_sen_scores_adjacent_sen_corpus_beta_\"+str(corpus_beta)+\"\\\\\"\n\n# all_claims_norms_scores_merged_dict_sen = base_path + \n top_k_docs_vals = [50]#,100,500] \n alpha_range = [0.4]#,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1]\n #alpha_range = [0.2,0.3]\n #alpha_range = [0.4,0.5]\n #alpha_range = [0.6,0.7]\n #alpha_range = [0.8]\n #alpha_range = [0.9]\n #alpha_range = [1]\n for k_val in top_k_docs_vals:\n# for alpha in range(0,11,1): #change just for test!\n for alpha_f in alpha_range:\n for beta in range(8,9,1):\n for delta_1 in range(9,10,1):\n for delta_2 in range(0,1,1):\n if not delta_1+delta_2 >9: \n (beta_f, delta_1_f,delta_2_f)=turn_to_float([beta,delta_1,delta_2])\n docs_scores_all_claims = read_pickle(all_claims_norms_scores_merged_dict_docs+\"/docs_norm_scores_all_claims_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f))\n sen_scores_all_claims = read_pickle(all_claims_norms_scores_merged_dict_sen+\"/sen_norm_scores_all_claims_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_delta1_\"+str(delta_1_f)+\"_delta2_\"+str(delta_2_f)+\"_top_k_docs_\"+str(k_val))\n# docs_scores_all_claims = read_pickle(all_claims_norms_scores_merged_dict_docs+\"docs_norm_scores_all_claims_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f))\n# sen_scores_all_claims = read_pickle(all_claims_norms_scores_merged_dict_sen+\"sen_norm_scores_all_claims_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_delta1_\"+str(delta_1_f)+\"_delta2_\"+str(delta_2_f)+\"_top_k_docs_\"+str(k_val))\n for lambda_int in range(2,3,1):\n lambda_f = turn_to_float([lambda_int])\n curr_final_sen_score_dict = {}\n# if os.path.exists(final_sen_scores+\"clm_num_key_final_ranked_list_sen_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_delta1_\"+str(delta_1_f)+\"_delta2_\"+str(delta_2_f)+\"_top_k_docs_\"+str(k_val)+\"_lambda_\"+str(lambda_f)+\"_sorted\") == True:\n# continue\n# else:\n try:\n for ((claim_num,sen),(doc_id,sen_score)) in sen_scores_all_claims.items():\n new_sen_score = lambda_f*sen_score + (1-lambda_f)*docs_scores_all_claims[claim_num,doc_id]\n curr_final_sen_score_dict[claim_num,sen] = ((doc_id,new_sen_score))\n except Exception as err: \n sys.stderr.write('problem in claim_num:' +claim_num +\" sen:\" +sen) \n print err.args \n print err\n #rank per claim according to score\n curr_final_sen_score_dict_sorted = collections.OrderedDict(sorted(curr_final_sen_score_dict.items(), key= lambda x: (-int(x[0][0]),x[1][1]),reverse=True)) \n #move directly to a ranked list:\n clm_num_key_final_ranked_list_sen = {} #key is a claim num, value is a list \n for ((clm_num,sen),(doc_id,score)) in curr_final_sen_score_dict_sorted.items():\n if (clm_num) in clm_num_key_final_ranked_list_sen.keys():\n clm_num_key_final_ranked_list_sen[clm_num].append((sen,score))\n else:\n clm_num_key_final_ranked_list_sen[clm_num]=[(sen,score)]\n # save_pickle(final_sen_scores+\"all_claims_final_sen_score_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_top_k_docs_\"+str(k_val)+\"_lambda_\"+str(lambda_f)+\"_sorted\",curr_final_sen_score_dict_sorted)\n save_pickle(final_sen_scores+\"clm_num_key_final_ranked_list_sen_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_delta1_\"+str(delta_1_f)+\"_delta2_\"+str(delta_2_f)+\"_top_k_docs_\"+str(k_val)+\"_lambda_\"+str(lambda_f)+\"_sorted\",clm_num_key_final_ranked_list_sen)\n print \"finished interpolate_doc_sen_score\"","def test_normalization(self):\n\n \"\"\"\n Create the test data.\n \"\"\"\n tokenizer = Tokenizer(stem=False)\n posts = [\n \"Erdogan with threats to attack regime forces 'everywhere' in Syria\",\n \"After Erdogan's statement, Damascus says Erdogan 'disconnected from reality' after threats\",\n ]\n\n corpus = [ Document(post, tokenizer.tokenize(post)) for post in posts ]\n\n extractor = TokenExtractor(tokenizer=tokenizer)\n scorer = TFIDFScorer({ 'erdogan': 1, 'threats': 2 }, 10)\n candidates = extractor.extract(corpus)\n scores = scorer.score(candidates, normalize_scores=True)\n self.assertEqual(1, scores.get('erdogan'))","def __calculateNormalizedScores(self):\n year_scores = {0 : []}\n for venue in self.venue_scores:\n v_scores = []\n for year in self.venue_scores[venue]:\n v_scores.append(self.venue_scores[venue][year])\n if year not in year_scores:\n year_scores[year] = []\n year_scores[year].append(self.venue_scores[venue][year])\n x_year = np.average(np.array(v_scores))\n self.venue_scores[venue][0] = x_year\n year_scores[0].append(x_year)\n \n ##for standardization\n #year_metrics = {x : (np.average(np.array(year_scores[x])), np.std(np.array(year_scores[x]))) for x in year_scores}\n ##for normalization\n year_metrics = {x: (max(year_scores[x]), min(year_scores[x])) for x in year_scores}\n \n #print year_metrics\n \n for venue in self.venue_scores:\n self.normalized_scores[venue] = dict()\n for year in self.venue_scores[venue]:\n #self.standard_scores[venue][year] = round((self.venue_scores[venue][year] - year_metrics[year][0]) / year_metrics[year][1],5)\n #self.normalized_scores[venue][year] = (self.venue_scores[venue][year] - year_metrics[year][1]) / (year_metrics[year][0] - year_metrics[year][1]) + eps\n self.normalized_scores[venue][year] = (self.venue_scores[venue][year] - year_metrics[year][1] + self.epsilon) / (year_metrics[year][0] - year_metrics[year][1] + self.epsilon)","def generateScore(self):\n totalFreq = self.lazySum(key=None)\n for file in self._candidate_files:\n filename = os.path.basename(file)\n score_file = os.path.join(self._score_dir, filename)\n with open(score_file, 'w') as ofd:\n with open(file) as ifd:\n for line in ifd:\n words = line.strip().split('\\t')\n if len(words) < 2 or any(map(lambda word:len(word)<2, words)):\n continue\n\n XFreq = self.lazySum(words[0])\n YFreq = self.lazySum(words[1])\n XYFreq = self.lazySum(line.strip())\n # frequences filter\n #if XYFreq < 2 or XYFreq > 24:\n # continue\n if YFreq == 0 or XFreq == 0 or XYFreq == 0:\n # because when generating grams, we last last words' frequency\n continue\n PX = XFreq * 1.0 / totalFreq\n PY = YFreq * 1.0 / totalFreq\n PXY = XYFreq * 1.0 / totalFreq\n score = math.log(PXY/PX/PY, 2) * XYFreq\n #print \"Freq:\", XFreq, YFreq, XYFreq\n result = \"{0}\\t{1:.2f}\\n\".format(line.strip(), score)\n ofd.write(result)","def normalize(self):\n for key in self.corpus.keys():\n sum_count = 0\n words = []\n counts = []\n for k, v in self.corpus[key].items():\n sum_count += v\n words.append(k)\n counts.append(v)\n prob = [float(count)/sum_count for count in counts]\n\n self.corpus[key] = [words, prob]","def weight_distribution(self):\n all_scores = []\n for zettel in self.lemma_tokens:\n scores = []\n for word in zettel:\n cur_tf_idf = self.tf_idf_scores[word[0]] / 3 #range: 0-3+\n if word[1] == 'NG':\n word_list = re.split(\" \", word[0])\n cur_word_score = 0\n i = 0\n for new_word in word_list:\n cur_word_score += self.word_scores[new_word]\n i += 1\n cur_word_score = cur_word_score / i / 2 #range: 0-2+\n else:\n cur_word_score = self.word_scores[word[0]] / 2 #range: 0-2+\n cur_keyword_score = self.keyword_scores[word[0]] / 4 #0-4+\n cur_text_rank = self.text_ranks[word[0]] / 10 #range: 0-12+\n cur_pos_score = self.pos_scores[word[0]]\n cur_area_score = self.z_area_scores[word[0]]\n cur_total_score = ((cur_tf_idf * self.score_weights[0]) + (cur_word_score * self.score_weights[1]) +\n (cur_keyword_score * self.score_weights[2]) + (cur_text_rank * self.score_weights[3]) +\n (cur_pos_score * self.score_weights[4]) + (cur_area_score * self.score_weights[5])) / 6\n scores.append(cur_total_score)\n all_scores.append(scores)\n return all_scores","def score_sentences(adm):\n lemma_frequencies = lemma_fd(adm)\n entity_frequencies = entity_fd(adm)\n sentences = adm['attributes']['sentence']['items']\n tokens = sorted(adm['attributes']['token']['items'], key=extent)\n mentions = sorted(entity_mentions(adm), key=extent)\n for i, sentence in enumerate(sentences):\n sentence['score'] = 0.0\n sentence['tokenLength'] = 0\n token = tokens.pop(0) if tokens else {}\n mention = mentions.pop(0) if mentions else {}\n # frequencies of contentful tokens inscrease the sentence the score\n while overlaps(token, sentence):\n sentence['score'] += score(token, lemma_frequencies, token_key)\n token = tokens.pop(0) if tokens else {}\n sentence['tokenLength'] += 1\n # frequencies of contentful entity mentions contribute to the score\n while overlaps(mention, sentence):\n sentence['score'] += score(mention, entity_frequencies, entity_key)\n mention = mentions.pop(0) if mentions else {}\n # normalize sentence score by sentence length\n sentence['score'] /= max(sentence['tokenLength'], 1)\n # penalize later sentences in the document based on their position\n # (sentences that occur later in a document get penalized more but with \n # logarithmic falloff)\n sentence['score'] *= log(len(sentences) - i + 1)","def fairness_ranking(data, ranked_list, group_file, gamma=0.5, stop_prob=0.7, verbose=False):\n author_exposure = {}\n author_relevance = {}\n\n #calculate the exposure and relevance for each author\n for query in ranked_list:\n exposure = 1.0\n for doc in query[1]:\n relevance = doc[0]\n\n authors_id = data_combining.get_data(doc[1], data = data)['authors']['corpus_author_id']\n\n for a in authors_id:\n if int(a) not in author_exposure:\n author_exposure[int(a)] = exposure\n else:\n author_exposure[int(a)] += exposure\n\n if int(a) not in author_relevance:\n author_relevance[int(a)] = stop_prob * relevance\n else:\n author_relevance[int(a)] += stop_prob * relevance\n\n exposure *= gamma\n exposure *= (1 - stop_prob * relevance)\n\n #calculate group relevance and exposure\n group_exposure_sum = {}\n group_relevance_sum = {}\n group = pd.read_csv(group_file)\n for index, row in group.iterrows():\n curr_author_exposure = author_exposure[row['author_id']] if row['author_id'] in author_exposure else 0\n curr_author_relevance = author_relevance[row['author_id']] if row['author_id'] in author_relevance else 0\n\n\n if row['gid'] not in group_exposure_sum:\n group_exposure_sum[row['gid']] = curr_author_exposure\n else:\n group_exposure_sum[row['gid']] += curr_author_exposure\n\n if row['gid'] not in group_relevance_sum:\n group_relevance_sum[row['gid']] = curr_author_relevance\n else:\n group_relevance_sum[row['gid']] += curr_author_relevance\n\n total_group_relevance = sum(group_relevance_sum.values())\n total_group_exposure = sum(group_exposure_sum.values())\n\n squared_sum = 0\n\n group_exposure_and_relevance = {}\n\n for group, relevance in group_relevance_sum.items():\n group_relevance = relevance / total_group_relevance\n group_exposure = group_exposure_sum[group] / total_group_exposure\n\n group_exposure_and_relevance[group] = (group_relevance, group_exposure)\n if verbose:\n print('{}: rel {} | exp {}'.format(group, group_relevance, group_exposure))\n\n squared_sum += (group_exposure - group_relevance) ** 2\n\n if verbose:\n print('fair exposure: {}'.format(math.sqrt(squared_sum)))\n\n return (math.sqrt(squared_sum), group_exposure_and_relevance)","def preprocess(self, documents):\n\n # Store the total number of documents\n num_docs = np.float(len(documents))\n\n # A dict storing the frequency of each word across all documents\n total_word_freq = {}\n\n # A dict storing the number of documents that word appears in\n doc_word_freq = {}\n\n # Iterate over all documents\n for doc in documents:\n # Split the string into a list of words\n words = extract_words(doc)\n\n # Update the 'total_word_freq' dict using all words in 'words'\n for w in words:\n ''' YOUR CODE HERE '''\n if w not in total_word_freq.keys():\n total_word_freq[w] = 1\n else:\n total_word_freq[w] += 1\n\n ''' END CODE FOR THIS LOOP '''\n\n # Update the 'doc_word_freq' dict. Remember to only add '1' corresponding to\n # each word in a document. In case a word appears twice in a document, then\n # it should be ignored. We use the set() data structure to achieve this.\n for w in set(words):\n ''' YOUR CODE HERE '''\n if w not in doc_word_freq:\n doc_word_freq[w] = 1\n else:\n doc_word_freq[w] += 1\n\n ''' END CODE FOR THIS LOOP '''\n\n # A set of words with total frequency less than 'self.min_freq'\n remove_words = set()\n\n ''' YOUR CODE HERE '''\n\n # Check frequency of each word and add to 'remove_words'\n for w in total_word_freq.keys():\n if total_word_freq[w] < self.min_freq:\n remove_words.add(w)\n\n # Delete the words in 'remove_words' from 'total_word_freq' and\n # 'doc_word_freq'.\n for w in remove_words:\n del total_word_freq[w]\n del doc_word_freq[w]\n\n # Create a numpy array to store frequencies from which\n # we can create the 'self.idf' preprocessed numpy array.\n word_freq_tensor = np.zeros(len(doc_word_freq))\n\n # For each word in 'doc_word_freq' dict, update\n # 'self.word_to_idx' and 'self.idx_to_word' and\n # 'word_freq_tensor'.\n i = 0\n for w in doc_word_freq.keys():\n self.word_to_idx[w] = i \n self.idx_to_word[i] = w\n word_freq_tensor[i] = doc_word_freq[w]\n i+=1\n \n #print(word_freq_tensor.shape)\n #print(word_freq_tensor)\n # Calculate 'self.idf' (see hint.pdf for formula)\n self.idf = -1*np.log(word_freq_tensor/(len(documents)))\n ''' END YOUR CODE HERE '''","def save_scores(emb_scores, emb_filename, base_scores, base_filename, output_dir):\n\n emb_file = open(Path(output_dir) / emb_filename, 'w')\n base_file = open(Path(output_dir) / base_filename, 'w')\n for word, score in emb_scores.items():\n if word in base_scores:\n print(float(score), file=emb_file)\n print(float(base_scores[word]), file=base_file)","def _compute_score(self):\n\n sgml_path = str(self.sgml_file.name)\n text_path = sgml_path.replace('.sgm', '.txt')\n ref_path = 'testsets/wmt18.ende.ref.txt'\n\n from sacrebleu import process_to_text, corpus_bleu\n from pathlib import Path\n\n if not Path(text_path).exists():\n process_to_text(sgml_path, text_path)\n\n hyp_stream = [x for x in open(text_path, encoding='utf-8')]\n ref_stream = [r for r in open(ref_path, encoding='utf-8')]\n\n bleu = corpus_bleu(hyp_stream, [ref_stream])\n\n self.score = bleu.score\n self.save()","def evaluate():\n global dictionary, wv\n count = 0\n # To save the scores by distance and similarity\n scores = np.zeros(6)\n similar = np.zeros(6)\n itr = len(dictionary)\n logging.info('running evaluation for {0} samples'.format(itr))\n for key in dictionary:\n progress = (count / itr) * 100\n d = dictionary[key].split('resource/')\n d = [idx.split()[0].translate(table).lower() for idx in d[1:]]\n try:\n r = np.array(list(map(lambda x: wv.get_vector(x), d)),\n dtype=np.float32)\n except KeyError:\n itr -= 1\n continue\n if np.any(np.isnan(r)):\n itr -= 1\n continue\n else:\n if r.ndim == 2:\n try:\n # Mean of vector containing all word vectors\n # obtained from abstract.\n r = r.mean(axis=0).reshape(1, -1)\n \n # Obtain the vectors for the entity\n mean_vec = mean_encoder(dictionary[key])\n mean_vec = mean_vec.reshape(1, -1) / norm(mean_vec)\n mean_dist_vec = distance_encoder(dictionary[key])\n mean_dist_vec = mean_dist_vec.reshape(1, -1)\n mean_dist_vec = mean_dist_vec / norm(mean_dist_vec)\n title_vec = title_mean(key)\n title_vec = title_vec.reshape(1, -1) / norm(title_vec)\n abstract_vec = abstract_encoder(key)\n abstract_vec = abstract_vec.reshape(1, -1)\n abstract_vec = abstract_vec / norm(abstract_vec)\n random_vec = np.random.randn(100).reshape(1, -1)\n zero_vec = np.zeros(100).reshape(1, -1)\n \n # Score the entity vectors\n scores[0] += norm(r - mean_vec)\n scores[1] += norm(r - mean_dist_vec)\n scores[2] += norm(r - title_vec)\n scores[3] += norm(r - abstract_vec)\n scores[4] += norm(r - random_vec)\n scores[5] += norm(r - zero_vec)\n similar[0] += cosine_similarity(r, mean_vec)\n similar[1] += cosine_similarity(r, mean_dist_vec)\n similar[2] += cosine_similarity(r, title_vec)\n similar[3] += cosine_similarity(r, abstract_vec)\n similar[4] += cosine_similarity(r, random_vec)\n similar[5] += cosine_similarity(r, zero_vec)\n count += 1\n print(count, end='\\r')\n except (ValueError, KeyError) as _:\n itr -= 1\n continue\n else:\n itr -= 1\n continue\n # Normalize the scores to get a better\n # comparison against the baselines.\n scores = scores / norm(scores)\n similar = similar / norm(similar)\n print_summary(scores, similar)","def get_scores(self, query):\n score = np.zeros(self.data['corpus_size'])\n doc_len = np.array(self.data['doc_len'])\n for q in query:\n q_freq = np.array([(doc.get(q) or 0) for doc in self.data['doc_freqs']])\n score += (self.data['idf'].get(q) or 0) * (q_freq * (self.data['k1'] + 1) /\n (q_freq + self.data['k1'] * (\n 1 - self.data['b'] + self.data['b'] * doc_len /\n self.data['average_docs_len'])))\n return score","def RM3(query, docs, external_docs, freqstats, weights, fb_original_weight, fb_terms,\n dump_term_weights=False):\n coll_len = freqstats(None)[0]\n lambda_c, lambda_d = weights\n\n query_tf = Counter(query)\n query_len = len(query)\n query_ctf = {stem: freqstats(stem)[0] for stem in query}\n\n prob_w = defaultdict(float)\n for doc in external_docs:\n doc_tf = Counter(doc)\n doc_len = len(doc)\n\n score = 0\n for stem, qtf in query_tf.items():\n stem_score = (lambda_c * query_ctf[stem] / float(coll_len) +\n lambda_d * doc_tf[stem] / float(doc_len))\n if stem_score == 0:\n score = float('-inf')\n break\n score += qtf * math.log(stem_score)\n if score == float('-inf'):\n continue\n\n for stem, dtf in doc_tf.items():\n prob_w[stem] += float(dtf) / doc_len * math.exp(score)\n\n total_mass = sum(prob_w.values())\n for k, v in prob_w.items():\n prob_w[k] = float(v) / total_mass\n\n prob_q = {stem: float(qtf) / query_len for stem, qtf in query_tf.items()}\n for stem, p in sorted(prob_w.items(), key=lambda x: x[1], reverse=True)[:fb_terms]:\n prob_q[stem] = fb_original_weight * prob_q.get(stem, 0) + (1 - fb_original_weight) * p\n\n query_ctf = {stem: freqstats(stem)[0] for stem in prob_q}\n\n scores = []\n for doc in docs:\n doc_tf = Counter(doc)\n doc_len = len(doc)\n\n score = 0\n for stem, w in prob_q.items():\n stem_score = lambda_c * query_ctf.get(stem, 1) / float(coll_len)\n stem_score += lambda_d * doc_tf.get(stem, 0) / float(doc_len) if doc_len > 0 else 0\n if stem_score == 0:\n score = float('-inf')\n break\n score += w * math.log(stem_score)\n if score == float('-inf'):\n score = -1000000.0\n scores.append(score)\n\n if dump_term_weights:\n return scores, prob_q\n else:\n return scores\n\n # msp_score = float('-inf')\n # for offset in xrange(0, max(0, doc_len - passage_size) + 1, increment):\n # passage = doc[offset:offset+passage_size]\n # passage_tf = Counter(passage)\n # passage_len = len(passage)\n\n # score = 0\n # for stem, qtf in query_tf.items():\n # term_score = (lambda_c * query_ctf[stem] / float(coll_len) +\n # lambda_d * doc_tf[stem] / float(doc_len) +\n # lambda_p * passage_tf[stem] / float(passage_len))\n # if term_score == 0:\n # score = float('-inf')\n # break\n # score += qtf * math.log(term_score)\n # if score > msp_score:\n # msp_score = score\n # yield msp_score","def compute_doc_scores_BM25F(self, query_terms, \n inverted_indexes, \n doc_length_info_bm25f,\n parameters):\n \n doc_scores = dict() # This is to contain each document's score\n for term in query_terms: # For each query term ...\n \n # Retrieve information regarding the current term\n term_info = inverted_indexes[term]\n n_docs_containing_term = len(term_info)\n \n # For each document that contains the term ...\n for cord_uid in term_info.keys():\n \n tf_field_dict = term_info[cord_uid]\n length_info = doc_length_info_bm25f[cord_uid]\n \n # Compute document's score for this term\n score = self.compute_term_BM25F(term, tf_field_dict, n_docs_containing_term, Constants.doc_count,\n length_info,\n parameters.k,\n parameters.weight_title, parameters.weight_author, parameters.weight_abstract, parameters.weight_sections,\n parameters.b_title, parameters.b_author, parameters.b_abstract, parameters.b_sections,\n Constants.avg_title_length, Constants.avg_author_length, Constants.avg_abstract_length, Constants.avg_sections_length)\n \n # Store or increment the score\n if cord_uid in doc_scores:\n doc_scores[cord_uid] += score\n else:\n doc_scores[cord_uid] = score\n \n return doc_scores","def _grade(lda_result, word_counters):\n row_list = map(_word_counter_to_matrix_row, word_counters)\n matrix = np.array(row_list, dtype = int) # paper x words\n\n output = np.dot(lda_result, matrix.T) # (topics x words) x (words x paper) --> topics x paper\n\n # Now perform normalization by paper (column): (x - mean) / std\n output = (output - np.mean(output, axis = 0)) / np.std(output, axis = 0)\n return output.T","def normalize_scores(scores):\n #print(scores)\n keys = scores.keys()\n\n sum = 0.0\n for k in keys:\n #print(\"%06f\\t\" % scores.get(k)),\n sum += scores.get(k)\n\n if sum == 1.0:\n return scores\n\n new_scores = {}\n for k in keys:\n new_scores[k] = scores.get(k)/float(sum)\n\n return new_scores","def _read_norm(self):\n # loop through all the filename\n for f5 in self.train_database:\n\n # get the precalculated data\n fdata = os.path.splitext(f5)[0] + '_norm.pckl'\n\n # if the file doesn't exist we create it\n if not os.path.isfile(fdata):\n logger.info(f\" Computing norm for {f5}\")\n norm = NormalizeData(f5, shape=self._grid_shape)\n norm.get()\n\n # read the data\n data = pickle.load(open(fdata, 'rb'))\n\n # handle the features\n for feat_type, feat_names in self.select_feature.items():\n for name in feat_names:\n mean = data['features'][feat_type][name].mean\n var = data['features'][feat_type][name].var\n if var == 0:\n logger.info(\n ' : STD is null for %s in %s' % (name, f5))\n self.param_norm['features'][feat_type][name].add(\n mean, var)\n\n # handle the target\n minv = data['targets'][self.select_target].min\n maxv = data['targets'][self.select_target].max\n self.param_norm['targets'][self.select_target].update(\n minv)\n self.param_norm['targets'][self.select_target].update(\n maxv)\n\n # process the std\n nfile = len(self.train_database)\n for feat_types, feat_dict in self.param_norm['features'].items():\n for feat in feat_dict:\n self.param_norm['features'][feat_types][feat].process(\n nfile)\n if self.param_norm['features'][feat_types][feat].std == 0:\n logger.info(\n ' Final STD Null for %s/%s. Changed it to 1' %\n (feat_types, feat))\n self.param_norm['features'][feat_types][feat].std = 1","def calc_std_nDCG_AP_corpus_smoothing(p):\n \n# nDCG_MAP_res = base_path +\"\\\\nDCG_MAP_res\\\\\"\n measures_res = linux_base_path+ \"/measures_res\"+setup+\"/\"\n k_val = 50\n NDCG_AP_all_claims_all_param_values = read_pickle(measures_res+\"NDCG_AP_prec_at_k_all_claims_all_param_values_top_k_docs_\"+str(k_val)+\"_at_\"+str(p)) #key:clm,alpha_f,beta_f,k_val,lambda_f val nDCG_score,AP_score\n each_params_AVGnDCG_MAP_dict = read_pickle(measures_res+\"each_params_AVGnDCG_MAP_prec_at_k_dict_top_k_docs_\"+str(k_val)+\"_at_\"+str(p)) #key:alpha_f,beta_f,k_val,lambda_f\n nDCG_MAP_std = {} #key is a configuration quadruplet, value is the std of the measures\n \n \n \n# for k_val in top_k_docs_values:\n for alpha in range(0,11,1): #change just for test!\n for beta in range(0,10,1):\n for lambda_int in range(0,11,1):\n lambda_f = turn_to_float([lambda_int])\n (alpha_f,beta_f) = turn_to_float([alpha,beta])\n curr_AP_var = 0\n curr_nDCG_var = 0\n curr_prec_at_5_var = 0\n curr_prec_at_10_var = 0\n for clm in claim_list:\n curr_nDCG_var += (NDCG_AP_all_claims_all_param_values[str(clm),alpha_f,beta_f,k_val,lambda_f][0] - each_params_AVGnDCG_MAP_dict[alpha_f,beta_f,k_val,lambda_f][0])**2\n curr_AP_var += (NDCG_AP_all_claims_all_param_values[str(clm),alpha_f,beta_f,k_val,lambda_f][1] - each_params_AVGnDCG_MAP_dict[alpha_f,beta_f,k_val,lambda_f][1])**2\n curr_prec_at_5_var += (NDCG_AP_all_claims_all_param_values[str(clm),alpha_f,beta_f,k_val,lambda_f][2] - each_params_AVGnDCG_MAP_dict[alpha_f,beta_f,k_val,lambda_f][2])**2\n curr_prec_at_10_var +=(NDCG_AP_all_claims_all_param_values[str(clm),alpha_f,beta_f,k_val,lambda_f][3] - each_params_AVGnDCG_MAP_dict[alpha_f,beta_f,k_val,lambda_f][3])**2\n curr_nDCG_std = float(float(math.sqrt(curr_nDCG_var))/float(len(claim_list)))\n curr_AP_std = float(float(math.sqrt(curr_AP_var))/float(len(claim_list)))\n curr_prec_at_5_std = float(float(math.sqrt(curr_prec_at_5_var))/float(len(claim_list)))\n curr_prec_at_10_std =float(float(math.sqrt(curr_prec_at_10_var))/float(len(claim_list)))\n nDCG_MAP_std[alpha_f,beta_f,k_val,lambda_f] = (curr_nDCG_std,curr_AP_std,curr_prec_at_5_std,curr_prec_at_10_std)\n save_pickle(measures_res+\"nDCG_MAP_prec_at_k_std_for_each_configuration_k_top_docs_\"+str(k_val)+\"_at_\"+str(p), nDCG_MAP_std)","def get_stats(inp_fn):\n ent_pred_cnts = []\n ent_gold_cnts = []\n ent_intr_cnts = []\n ccs = ConllCorefScores()\n jsons = [json.loads(line) for line in open(inp_fn, encoding = \"utf8\")]\n for doc_dict in jsons:\n cur_doc = nlp(\" \".join(doc_dict[\"document\"]))\n gold_clusts = doc_dict[\"gold_clusters\"]\n pred_clusts = doc_dict[\"clusters\"]\n\n gold_ent_clusts = get_entities(cur_doc, gold_clusts)\n pred_ent_clusts = get_entities(cur_doc, pred_clusts)\n\n gold_clusts_pronouns = [gold_clust\n for gold_clust, gold_ent_clust\n in zip(gold_clusts, gold_ent_clusts)\n if contains_pronoun(gold_ent_clust)]\n\n pred_clusts_pronouns = [pred_clust\n for pred_clust, pred_ent_clust\n in zip(pred_clusts, pred_ent_clusts)\n if contains_pronoun(pred_ent_clust)]\n\n update_avg_f1(ccs, gold_clusts_pronouns, pred_clusts_pronouns)\n\n pred_ents = set(map(str, flatten(pred_ent_clusts)))\n gold_ents = set(map(str, flatten(gold_ent_clusts)))\n if (not pred_ents) and (not gold_ents):\n #TODO: what's going on in these instances?\n continue\n\n ent_pred_cnts.append(len(pred_ents))\n ent_gold_cnts.append(len(gold_ents))\n ent_intr_cnts.append(len(pred_ents & gold_ents))\n\n ent_micro = micro_f1(ent_pred_cnts, ent_gold_cnts, ent_intr_cnts)\n ent_macro = macro_f1(ent_pred_cnts, ent_gold_cnts, ent_intr_cnts)\n ret_dict = {\"ent_micro\": ent_micro,\n \"ent_macro\": ent_macro,\n \"pronoun_avg_f1\": get_avg_f1(ccs)}\n\n logging.debug(f\"micro = {ent_micro['f1']:.2f}, macro = {ent_macro['f1']:.2f}\")\n\n return ret_dict","def score_integerize():\n for file_n in annual_report_indexes:\n print file_n\n\n data_frame = fu.read_file_to_df(corporation_index_file_url, file_n + '_index')\n data_frame['int_score'] = data_frame[u'企业总评分'.encode('utf-8')].apply(lambda x: round(x))\n\n fu.write_file(data_frame, corporation_index_file_url, file_n + '_index')","def main():\n \"\"\"Calculates BM25 and VSM score\"\"\"\n\n queries, docs, term_freq_corpus = io() \n DocQ = DocumentQuery(docs, queries[0].split(\" \"), [], {}, {}, set(), term_freq_corpus)\n #print(queries[0].split(\" \"))\n DocQ.init_doc_query(queries[0].split(\" \"), docs)\n DocQ.init_term_freq()\n for i, d in enumerate(docs):\n bm25 = DocQ.bm25_score(queries[0].split(\" \"), d)\n print(docs[i], bm25)\n\n vsm.document_filenames = {i:d for i, d in enumerate(docs)}\n vsm.N = len(docs)\n vsm.query = queries[0]\n vsm.initialize_terms_and_postings()\n vsm.initialize_document_frequencies()\n vsm.initialize_lengths()\n vsm.do_search()","def normal_subjects_out(sub):\n baseDIR = 'the root directory'\n ## read data (contains training data (all subjects except one) and test data (the rest subject) and corresponding labels) \n matContent = sio.loadmat(baseDIR +'/Data/' +'normal_subject_out'+str(sub+1) +'.mat')\n normal_x_train = matContent['trainingFeatures']\n y_train = np.squeeze(matContent['trainingLabels'])\n x_test = matContent['testFeatures']\n y_test = matContent['testLabels'] \n ## permute data\n rand_idx = np.random.permutation(normal_x_train.shape[0])\n normal_x_train = normal_x_train[rand_idx,:,:]\n \n ## normalize data based on StandardScaler function in Sklearn\n normal_x_train, x_test, scaler = standardization(normal_x_train, x_test)\n\n ## pick 80% of normal training data to train DAE architecture and the rest 20% is used for computing NPM and fitting GEVD\n train_perc = np.int(normal_x_train.shape[0] - np.round(0.2 * normal_x_train.shape[0]))\n normal_x_train1 = normal_x_train[0:train_perc,:]\n normal_x_train2 = normal_x_train[train_perc:,:]\n \n ## training labels are always 0s \n training_labels = y_train[0:train_perc,] \n training_labels1 = y_train[train_perc:,]\n \n ## make the inverse of standardization on both training parts \n normal_x_gevd = scaler.inverse_transform(np.reshape(normal_x_train2,[normal_x_train2.shape[0],\n normal_x_train2.shape[1]*normal_x_train2.shape[2]*normal_x_train2.shape[3]]))\n normal_x_train_inverseScale = scaler.inverse_transform(np.reshape(normal_x_train1,[normal_x_train1.shape[0],\n normal_x_train1.shape[1]*normal_x_train1.shape[2]*normal_x_train1.shape[3]]))\n \n #save data both for before and after standardization\n sio.savemat(baseDIR + 'Dropout/'+ 'normal_train_for_NPM_sub_out' + str(sub+1)+ '.mat', {'normal_train_x':normal_x_train_inverseScale,'normal_train_npm':normal_x_gevd})\n sio.savemat(baseDIR + 'Dropout/' + 'data_after_normalization' + str(sub+1) + '.mat',{'normal_x_train1':normal_x_train1,'normal_x_train2':normal_x_train2,'scaler':scaler,'x_test':x_test})\n return normal_x_train1, normal_x_train2, x_test, training_labels, training_labels1, y_test, scaler","def calc_intersection_true_data_baselines_data_cnt():\n# final_sen_scores = linux_base_path + \"/final_sen_scores/\"\n final_sen_scores = base_path + \"\\\\final_sen_scores\\\\\"\n top_k_docs_values = [50]\n lambda_f = \"1\"\n claim_sen_true_relevance_dict = read_pickle(\"claim_sen_relevance_dict_\"+curr_source)\n claims_dict = read_pickle(\"claim_dict\")\n intersection_count_avg_all_claims =0\n exclude = set(string.punctuation)\n \n for k_val in top_k_docs_values:\n intersection_count = 0\n for alpha in range(10,11,1): #change just for test!\n for beta in range(0,1,1):\n (alpha_f,beta_f) = turn_to_float([alpha,beta])\n curr_baseline_final_sen_score_dict = read_pickle(final_sen_scores+\"clm_num_key_final_ranked_list_sen_alpha_\"+str(alpha_f)+\"_beta_\"+str(beta_f)+\"_top_k_docs_\"+str(k_val)+\"_lambda_\"+str(lambda_f)+\"_sorted\")\n for clm in curr_baseline_final_sen_score_dict.keys():\n curr_clm_baseline_set = set()\n curr_true_relevance_set = set()\n for (sen,score) in curr_baseline_final_sen_score_dict[clm]:\n sen_no_punc = ''.join(ch for ch in sen if ch not in exclude)\n sen_no_space = sen_no_punc.replace(\" \",\"\")\n curr_clm_baseline_set.add(sen_no_space)\n for (sen,score) in claim_sen_true_relevance_dict[claims_dict[clm]]:\n sen_no_punc = ''.join(ch for ch in sen if ch not in exclude)\n sen_no_space = sen_no_punc.replace(\" \",\"\")\n curr_true_relevance_set.add(sen_no_space) \n intersection_count += len(curr_clm_baseline_set.intersection(curr_true_relevance_set))\n intersection_count_avg_all_claims += float(float(intersection_count)/float(110))\n intersection_count_avg_all_claims = float(float(intersection_count_avg_all_claims)/float(len(curr_baseline_final_sen_score_dict.keys())))\n print \"intersection_count_avg_all_claims:\"+str(intersection_count_avg_all_claims)","def test_compute_unnormalized_scores(self):\n # todo: implement this test!\n pass","def ari(self, doc):\n num_sentences = _get_num_sentences(doc)\n num_words = _get_num_words(doc)\n if num_words <= 0:\n return 0\n\n letter_count = sum([len(token) for token in doc if not token.is_punct])\n letter_to_words = letter_count / num_words\n words_to_sents = num_words / num_sentences\n return 4.71 * letter_to_words + 0.5 * words_to_sents - 21.43","def initialise(filename):\n normaliser = Normaliser()\n\n abs_colle_ref = db.collection('abstract')\n title_colle_ref = db.collection('title')\n author_colle_ref = db.collection('author')\n\n abs_param_ref = db.collection('param').document(\"abstract\")\n title_param_ref = db.collection('param').document(\"title\")\n author_param_ref = db.collection('param').document(\"author\")\n\n doc_total = 0\n total_title_word = 0\n total_abs_word = 0\n total_author_word = 0\n\n\n text = read(filename)\n\n for key in text.keys():\n doc_total = doc_total + 1\n doc_id = key.replace(\".\", \"-\")\n abstract = normaliser.normalise_text(text[key][\"abs\"])\n title = normaliser.normalise_text(text[key][\"title\"])\n author = normaliser.normalise_authors(text[key][\"authors\"])\n\n\n\n\n \"\"\"creating index\"\"\"\n\n file_title_cnt = init_index(doc_id, title, title_colle_ref)\n file_abs_cnt = init_index(doc_id, abstract, abs_colle_ref)\n file_author_cnt = init_index(doc_id, author, author_colle_ref)\n total_abs_word = total_abs_word + file_abs_cnt\n total_title_word = total_title_word + file_title_cnt\n total_author_word = total_author_word + file_author_cnt\n\n\n abs_param_ref.set(\n {\n 'total_doc_number': doc_total,\n 'total_document_length': total_abs_word\n }\n )\n\n title_param_ref.set(\n {\n 'total_doc_number': doc_total,\n 'total_document_length': total_title_word\n }\n )\n\n author_param_ref.set(\n {\n 'total_doc_number': doc_total,\n 'total_document_length': total_author_word\n }\n )\n return","def neural_relevance_model(ix, term_dict, ids_and_scores, corpus, fb_terms):\n\n\t# set variables\n\trm1_vec = list()\n\tvocab = set()\n\tdoc_vecs = dict()\n\n\t# create document feature vectors for each feedback doc\n\tfor doc_id in ids_and_scores.keys():\n\t\t# convert current doc to bow format\n\t\tbow = ix.doc2bow(corpus[doc_id])\n\t\t# create document feature vector\n\t\tdfv = create_feature_vector(ix, term_dict, bow)\n\t\t# keep top 'fb_terms' from dfv\n\t\tdfv = defaultdict(int, sorted(dfv, key=lambda x: (-x[1], x[0]))[:fb_terms]) # -x[1] represents descending order\n\t\t# update vocab with top 'fb_terms' terms contained within feedback docs and store document feature vectors\n\t\tvocab.update(dfv.keys())\n\t\tdoc_vecs[doc_id] = dfv\n\n\t# compute L1 norm for each document feature vector\n\tnorms = {doc_id: sum(dfv.values()) for doc_id, dfv in doc_vecs.items()}\n\n\t# loop over terms in vocab and compute RM1\n\tfor term in vocab:\n\t\tfb_weight = 0.0\n\t\t# loop over document feature vectors \n\t\tfor doc_id in doc_vecs.keys():\n\t\t\tif norms[doc_id] > 0.001: # avoids zero-length feedback docs which cause division by zero when computing term weights\n\t\t\t\t# sum the score of current term across different docs to fb_weight\n\t\t\t\tfb_weight += (doc_vecs[doc_id][term] / norms[doc_id]) * ids_and_scores[doc_id] # ids_and_scores[doc_id] is the score obtained for current doc w/ the original query\n\t\t# assign term w/ weight to RM1 feature vector\n\t\trm1_vec.append((term, fb_weight))\n\n\t# keep top 'fb_terms' from rm1_vec\n\trm1_vec = defaultdict(float, sorted(rm1_vec, key=lambda x: (-x[1], x[0]))[:fb_terms]) # -x[1] represents descending order\n\t# scale rm1_vec to L1 norm\n\treturn scale_to_L1_norm(rm1_vec)","def updateScores(rankedLists):\n docToRank = {}\n for rankedList in rankedLists:\n\n f = open(rankedList, 'r')\n for line in f:\n documentID = line.split()[2]\n docno = documentID\n score = float(line.split()[4])\n position = int(line.split()[3])\n docToRank[docno] = (position,score)\n f.close()\n client = MongoClient('asr2.iem.technion.ac.il',27017)\n db = client.asr16\n documents = db.documents.find({})\n for document in documents:\n key = document[\"query_id\"]+\"-\"+document[\"username\"]\n document['position'] = docToRank[key][0]\n document['score'] = docToRank[key][1]\n document['posted_document'] = document['current_document']\n db.documents.save(document)","def preprocess(self, documents):\n\n # A dict storing the frequency of each word\n word_freq = {}\n\n # Iterate for each document\n for doc in documents:\n # Split the document into a list of words and iterate on it\n for w in extract_words(doc):\n # Update word frequencies\n '''YOUR CODE HERE'''\n if w not in word_freq.keys():\n word_freq[w] = 1\n else:\n word_freq[w] += 1\n\n ''' END CODE FOR THIS LOOP '''\n\n\n # A set of words with frequency less than 'self.min_freq'\n remove_words = set()\n\n # Check frequency of each word and add to 'remove_words'\n # if it's frequency is below self.min_freq\n\n ''' YOUR CODE HERE '''\n for w in word_freq.keys():\n if word_freq[w] < self.min_freq:\n remove_words.add(w)\n\n # Delete the words in 'remove_words' from 'word_freq'\n for w in remove_words:\n del word_freq[w]\n\n # Fill 'self.word_to_idx' and 'self.idx_to_word' for\n # each word in 'word_freq' (dicts are explained above)\n\n i = 0\n for w in word_freq.keys():\n self.word_to_idx[w] = i\n self.idx_to_word[i] = w \n i += 1\n\n ''' END YOUR CODE HERE '''","def __init__(self):\n\n try:\n self.posFreqDict = self.load(\"posFreqDict\")\n self.neuFreqDict = self.load(\"neuFreqDict\")\n self.negFreqDict = self.load(\"negFreqDict\")\n\n except:\n\n lFileList = []\n for fFileObj in os.walk(\"movies_reviews/\"): \n lFileList = fFileObj[2]\n break\n random.shuffle(lFileList)\n \n self.train(lFileList)\n Original_d = {}\n d = {}\n correct_positives =0\n incorrect_positives=0\n correct_negatives =0\n incorrect_negatives = 0\n for file in lFileList[int(float(len(lFileList))*.9):len(lFileList)+1]:\n rating = int(file[7])\n if rating in Original_d:\n Original_d[rating] = Original_d[rating]+1\n else:\n Original_d[rating]=1\n\n fileText = self.loadFile(\"movies_reviews/\" + str(file))\n result = self.classify(fileText)\n if result in d:\n d[result]=d[result]+1\n else:\n d[result]=1\n if rating==5:\n if result ==\"positive\":\n correct_positives+=1\n else:\n incorrect_positives+=1\n else:\n if result == \"negative\":\n correct_negatives+=1\n else:\n incorrect_negatives+=1\n print Original_d\n print d\n print correct_positives #Actually positive, we said positive\n print incorrect_positives #Actually positive, we said negative\n print correct_negatives #Actually negative, we said negative\n print incorrect_negatives #Actually negative, we said positive\n \n A = float(correct_positives)\n B = float(incorrect_positives)\n C = float(incorrect_negatives)\n\n Recall = (A / (A + B)) *100.0\n Precision = (A / (A + C)) *100.0\n FScore = 2 * (Recall*Precision) / (Recall+Precision)\n\n print Recall\n print Precision\n print FScore","def rank_entity(domain_entity_file, others_entity_file, dict_file):\n score_dict = dict()\n sports_idf_dict, others_idf_dict = dict(), dict()\n domain_num, others_num = 0, 0\n with open(domain_entity_file, encoding='utf8') as f:\n for idx, line in enumerate(f):\n tokens = line.strip().split(\"\\t\")\n for word in set(tokens): # idf\n if word not in sports_idf_dict:\n sports_idf_dict[word] = 1\n else:\n sports_idf_dict[word] += 1\n domain_num = idx + 1\n print(\"domain_num: \", domain_num)\n with open(others_entity_file, encoding='utf8') as f:\n for idx, line in enumerate(f):\n tokens = line.strip().split(\"\\t\")\n for word in set(tokens): # idf\n if word not in others_idf_dict:\n others_idf_dict[word] = 1\n else:\n others_idf_dict[word] += 1\n others_num = idx + 1\n print(\"others_num: \", others_num)\n for word in sports_idf_dict:\n if word in others_idf_dict: # sub-idf * log df\n score_dict[word] = (math.log(domain_num * 1.0 / (1 + sports_idf_dict[word])) - math.log(\n others_num * 1.0 / (1 + others_idf_dict[word]))) * (math.log(1 + sports_idf_dict[word]))\n else:\n score_dict[word] = (math.log(domain_num * 1.0 / (1 + sports_idf_dict[word])) - math.log(\n others_num * 1.0)) * (math.log(1 + sports_idf_dict[word]))\n # print(len(sports_idf_dict), len(others_idf_dict))\n sorted_list = sorted(score_dict.items(), key=lambda d: d[1]) # reverse=True\n with open(dict_file, \"w\", encoding='utf8') as fw:\n for item in sorted_list:\n if item[0] in others_idf_dict:\n fw.write(item[0] + \"\\t\" + str(item[1]) + \"\\t\" + str(sports_idf_dict[item[0]]) + \"\\t\" + str(\n others_idf_dict[item[0]]) + \"\\n\")\n else:\n fw.write(item[0] + \"\\t\" + str(item[1]) + \"\\t\" + str(sports_idf_dict[item[0]]) + \"\\t\" + str(0) + \"\\n\")","def get_scores(self):\n hist = self.confusion_matrix\n # hist = [TN,FP;FN,TP]\n acc = np.diag(hist).sum() / hist.sum()\n acc_cls = np.diag(hist) / hist.sum(axis=1)\n acc_cls = np.nanmean(acc_cls)\n iu = np.diag(hist) / (hist.sum(axis=1) + hist.sum(axis=0) - np.diag(hist))\n # iou = iu.sum() / self.n_classes\n mean_iou = np.nanmean(iu) # if classes = 2: iou = miou\n freq = hist.sum(axis=1) / hist.sum()\n fwavacc = (freq[freq > 0] * iu[freq > 0]).sum()\n cls_iou = dict(zip(range(self.n_classes), iu))\n\n ##############################################\n tn = hist[0, 0]\n tp = np.diag(hist).sum() - tn\n fp = np.triu(hist, 1).sum()\n fn = np.tril(hist, -1).sum()\n precision = tp / (tp + fp)\n recall = tp / (tp + fn)\n f1 = 2 * precision * recall / (precision + recall)\n\n # for medical img, img_seg \\in [0,1]\n dice = 2 * tp / (tp + tp + fn + fp)\n # dice = f1-score\n dsc = 2 * tp / (tp + fn + fp)\n # dsc = jaccard\n # voe = 2 * abs(fp + fn) / (tp + tp + fn + fp)\n # voe = 1 - dsc\n\n k2 = {\n # \"Overall Acc: \\t\": acc,\n 'Mean Acc': float(judge_nan(acc_cls)),\n # \"FreqW Acc : \\t\": fwavacc,\n 'Mean IoU': float(judge_nan(mean_iou)),\n 'F1-score': float(judge_nan(f1)),\n 'DSC': float(judge_nan(dsc)),\n 'Precision': float(judge_nan(precision)),\n 'Recall': float(judge_nan(recall)),\n }\n\n return k2","def compute_probabilities():\n global total_spam_words, total_ham_words\n total_words = total_spam_words+total_ham_words\n unique_words = len(all_dict)\n print(\"Training Set Description: \")\n len_ham = len(ham_file_list)\n len_spam = len(spam_file_list)\n print(\"SPAM EMAILS: \",len_spam)\n print(\"HAM EMAILS: \",len_ham)\n print(\"Total words: \",total_words)\n print(\"Training...\")\n \n spam_probability = math.log((len_spam)/(len_spam+len_ham))\n ham_probability = math.log((len_ham)/(len_spam+len_ham))\n \n \n \n output_file = open(\"nbmodel.txt\", \"w+\", encoding=\"latin-1\")\n output_file.write(\"model_params \"+str(spam_probability)+\" \"+str(ham_probability)+\"\\n\")\n \n nbmodel = {}\n nbmodel[\"model_params\"] = (spam_probability,ham_probability)\n for word in all_dict.keys():\n spam_count = 1\n if word in spam_dict:\n spam_count+= spam_dict[word]\n \n word_spam_probability = math.log(spam_count / (total_spam_words+unique_words))\n \n ham_count = 1\n if word in ham_dict:\n ham_count+= ham_dict[word]\n \n word_ham_probability = math.log(ham_count / (total_ham_words+unique_words))\n \n output_file.write(word+\" \"+str(word_spam_probability)+\" \"+str(word_ham_probability)+\"\\n\")\n nbmodel[word] = (word_spam_probability, word_ham_probability) \n \n print(\"nbmodel.txt generated successfully...\")\n print(\"SPAM Probability: \",spam_probability)\n print(\"HAM Probability: \",ham_probability)\n output_file.close()","def naive_bayes_train_bis(sms_file):\n dic, list1, list2 = tokenize_and_split_bis(sms_file)\n nbr_words = len(list1) + len(list2)\n spam_ratio = len(list1) / nbr_words\n document = list1 + list2\n\n nbr_spam = 0\n for line in list1:\n for word in line:\n nbr_spam += 1\n \n nbr_ham = 0\n for line in list2:\n for word in line:\n nbr_ham += 1\n \n nbr_words = nbr_ham + nbr_spam\n sms_ratio_list = compute_frequencies(nbr_words, document)\n spam_ratio_list = compute_frequencies(nbr_words, list1)\n spamicity = [0. for i in range(nbr_words)]\n # print(sms_ratio_list)\n # print(spam_ratio_list)\n spamicity_no = [0. for i in range(nbr_words)]\n spamicity_inv = [0. for i in range(nbr_words)]\n\n product_word_dic = 1\n for i in range(nbr_words):\n if sms_ratio_list[i] != 0:\n spamicity[i] = ((spam_ratio_list[i]) / sms_ratio_list[i])\n spamicity_no[i] = 1 - ((spam_ratio_list[i]) / sms_ratio_list[i])\n spamicity_inv[i] = ((1 - (spam_ratio_list[i])) / (1 - sms_ratio_list[i]))\n # print(spamicity_inv[i])\n # if spamicity_inv[i] != 0 :\n product_word_dic *= spamicity_inv[i]\n \n return spam_ratio, dic, spamicity, spamicity_no, spamicity_inv, product_word_dic","def normalize(self):\n norm_val = self.sum2/self.sum1\n self.sum1=0\n\n for sentence in self.data_set:\n sentence.weight *= norm_val\n self.sum1 += sentence.weight","def calc_metrics(self, data, output):\n\n L1NormITAE = self.calcL1NormITAE(data)\n L1NormAbs = self.calcL1NormAbs(data)\n #\n # print 'ITAE score: ', errorIntegral\n print 'L1NormITAE: ', L1NormITAE\n print 'L1NormAbs: ', L1NormAbs\n print '\\n'\n output.update({'L1NormITAE': L1NormITAE, 'L1NormAbs': L1NormAbs})","def evaluate(predictions, documents):\n ###TODO\n x = 0.0\n y = 0 #true ham, classified spam\n z = 0 #true spam, classified ham\n \n for i in range(0,len(predictions)):\n if(documents[i].label == 'sod' and predictions[i] == 'pop'):\n z += 1\n if(documents[i].label == 'sod' and predictions[i] == 'pop'):\n y += 1 \n \n x = (len(documents) - (y+z)) / len(documents) \n return (x,y,z)\n pass","def _eed_compute(sentence_level_scores: List[Tensor]) ->Tensor:\n if len(sentence_level_scores) == 0:\n return tensor(0.0)\n average = sum(sentence_level_scores) / tensor(len(sentence_level_scores))\n return average","def Classify_Data(self):\n\n lem = lemmatization()\n\n # Get Mongo Client\n client = MongoClient()\n db = client['allMovies']\n collection = db['Movies']\n\n # Path to folder containing the training model files\n path = self.path\n\n # Get the list of doc ids trained\n trained_docs = []\n\n # Mongo queries to retrieve Horror, Romance and Crime movies\n qr1 = self.collection.find({\"content.genres.name\": \"Horror\"})\n qr2 = self.collection.find({\"content.genres.name\": \"Romance\"})\n qr3 = self.collection.find({\"content.genres.name\": \"Crime\"})\n qr4 = self.collection.find({\"content.genres.name\": \"Comedy\"})\n print(\"111\")\n print(qr3)\n\n myfile = open('doc_ids.pkl', 'rb')\n trained_docs = pickle.load(myfile)\n # Get 100 Horror, Romance and Crime movies each, which are not in the trained data set\n\n horr = []\n i = 0\n for rec in qr1:\n if rec['_id'] not in trained_docs:\n i = i + 1\n horr.append(rec)\n\n if i >= 333:\n break\n rom = []\n i = 0\n for rec in qr2:\n if rec['_id'] not in trained_docs:\n i = i + 1\n rom.append(rec)\n\n if i >= 333:\n break\n\n crime = []\n i = 0\n for rec in qr3:\n if rec['_id'] not in trained_docs:\n i = i + 1\n crime.append(rec)\n\n if i >= 334:\n break\n comedy = []\n i = 0\n for rec in qr4:\n if rec['_id'] not in trained_docs:\n i = i + 1\n comedy.append(rec)\n\n if i >= 334:\n break\n\n # Combine the query results\n query_results = []\n for rec in horr:\n query_results.append(rec)\n for rec in rom:\n query_results.append(rec)\n for rec in crime:\n query_results.append(rec)\n print(query_results)\n # Data to be classified\n test_data = []\n\n # Genres of records to be classified\n categories = []\n a = 0\n for movie in query_results:\n test_data.append(movie['content']['overview'])\n for genre in movie['content']['genres']:\n a = a + 1\n if ((genre['name'] == 'Horror') or (genre['name'] == 'Romance') or (genre['name'] == 'Crime') or (\n genre['name'] == 'Comedy') and a <= 80):\n categories.append(genre['name'])\n\n # Lists of training models and vectorizers\n models = [\"SVM\", \"LOGISTIC REGRESSION\", \"GAUSSIAN NB\",\n \"MULTINOMIAL NB\", \"BERNOULLI NB\", \"RANDOM FOREST\", \"BAGGING\", \"GRADIENT\",\n \"Voting\", \"Voting With Weights\"]\n\n vectorizers = [\"COUNT VECTORIZER\", \"TFIDF VECTORIZER\"]\n\n # Load dictionary containing terms appearing in genres\n dictionary = joblib.load(path + \"_Genre_Dictionary\")\n\n vec_1 = feature_extraction.text.CountVectorizer(vocabulary=dictionary)\n vec_2 = feature_extraction.text.TfidfVectorizer(vocabulary=dictionary)\n vec_list = [vec_1, vec_2]\n\n # List to store the classification stats for each model\n stats = []\n # Generate results\n for i in range(0, len(models)):\n for j in range(0, len(vectorizers)):\n time0 = time.process_time()\n model = joblib.load(path + models[i] + \"_\" + vectorizers[j].replace('-', '') + \".pkl\")\n vec = vec_list[j]\n Y = vec.fit_transform(test_data).toarray()\n print(\"y\", Y)\n predicted_genres = model.predict(Y)\n\n k = 0\n horror = 0\n romance = 0\n crime = 0\n\n # Keeps track of correct predictions\n y_correct = []\n\n # Keeps track of incorrect predictions\n y_predicted = []\n for pred in predicted_genres:\n if (categories[k] == \"Horror\"):\n if (pred == \"Horror\"):\n horror += 1\n y_predicted.append(0)\n elif (pred == \"Romance\"):\n y_predicted.append(1)\n else:\n y_predicted.append(2)\n y_correct.append(0)\n elif (categories[k] == \"Romance\"):\n if (pred == \"Romance\"):\n romance += 1\n y_predicted.append(1)\n elif (pred == \"Horror\"):\n y_predicted.append(0)\n else:\n y_predicted.append(2)\n y_correct.append(1)\n elif (categories[k] == \"Crime\"):\n if (pred == \"Crime\"):\n crime += 1\n y_predicted.append(2)\n elif (pred == \"Horror\"):\n y_predicted.append(0)\n else:\n y_predicted.append(1)\n y_correct.append(2)\n k = k + 1\n\n # Print results\n score = precision_recall_fscore_support(y_correct, y_predicted, average='weighted')\n # print(\"Number of records classified per second = %d\" % (round((1000/(time.process_time()-time0)),3)))\n print(\"________SCORES__________\")\n print(\"MODEL : \" + models[i])\n print(\"VECTORIZER : \" + vectorizers[j])\n print(\"Horror : %d/333\" % (horror))\n print(\"Romance : %d/333\" % (romance))\n print(\"Crime : %d/334\" % (crime))\n print(\"Precision : %.5f\" % (score[0]))\n print(\"Recall : %.5f\" % (score[1]))\n print(\"F(1) Score : %.5f\" % ((score[1] * score[0] / (score[1] + score[0])) * 2))\n print(\"F(W) Score : %.5f\" % (score[2]))\n print(\"Accuracy : %.5f\" % accuracy_score(y_correct, y_predicted))\n # print(confusion_matrix(y_correct, y_predicted))\n\n dic = {}\n dic['model'] = models[i].title()\n dic['vectorizer'] = vectorizers[j][:-11]\n dic['horror'] = str(horror) + '/' + '333'\n dic['romance'] = str(romance) + '/' + '333'\n dic['crime'] = str(crime) + '/' + '334'\n dic['precision'] = round(score[0], 3)\n dic['Recall'] = round(score[1], 3)\n dic['F(1) Score'] = round(((score[1] * score[0] / (score[1] + score[0])) * 2), 3)\n dic['F(W) Score'] = round(score[2], 3)\n dic['accuracy'] = round(accuracy_score(y_correct, y_predicted), 3)\n stats.append(dic)\n # Store stats in file\n joblib.dump(stats, path + \"classification_results.txt\")\n\n print(\"Done\")\n return stats","def postprocess_docs(self, doc_scores, docs, input_strings, add_eos, prefix, print_docs=False):\n\n def cat_input_and_doc(doc_score, domain, entity_name, doc_title, doc_text, input_string, add_eos, prefix, print_docs=False):\n # TODO(Patrick): if we train more RAG models, I want to put the input first to take advantage of effortless truncation\n # TODO(piktus): better handling of truncation\n if doc_title.startswith('\"'):\n doc_title = doc_title[1:]\n if doc_title.endswith('\"'):\n doc_title = doc_title[:-1]\n if prefix is None:\n prefix = \"\"\n if entity_name is None:\n entity_name = \"*\"\n suffix = self.generator_tokenizer.eos_token if add_eos else \"\"\n out = (\n prefix + domain + self.config.title_sep + entity_name + self.config.title_sep + doc_title + self.config.title_sep + doc_text + self.config.doc_sep + input_string + suffix\n ).replace(\" \", \" \")\n if print_docs:\n logger.info(\"{} {}\".format(doc_score, out))\n return out\n\n rag_input_strings = [\n cat_input_and_doc(\n doc_scores[i][j],\n docs[i][j]['domain'],\n docs[i][j]['entity_name'],\n docs[i][j]['doc']['title'],\n docs[i][j]['doc']['body'],\n input_strings[i],\n add_eos,\n prefix,\n print_docs,\n )\n for i in range(len(docs))\n for j in range(self.n_docs)\n ]\n\n contextualized_inputs = self.generator_tokenizer.batch_encode_plus(\n rag_input_strings,\n max_length=self.config.max_combined_length,\n return_tensors=\"pt\",\n padding=\"longest\",\n truncation=False,\n ).to(doc_scores.device)\n\n return contextualized_inputs[\"input_ids\"], contextualized_inputs[\"attention_mask\"]","def expectation_step(self,number_of_topics):\n createdDataMat = np.zeros([self.number_of_documents, number_of_topics, self.vocabulary_size], dtype=np.float)\n print(\"E step:\")\n\t\t#print(\"Initial value of createdDataMat >>>>>\"+createdDataMat)\n \n \t\n for docValue in range(0, self.number_of_documents):\n for wordValue in range(0, self.vocabulary_size):\n recordSum = 0\n for topicValue in range(0, number_of_topics):\n self.topic_prob[docValue][topicValue][wordValue] = (self.document_topic_prob[docValue][topicValue] * self.topic_word_prob[topicValue][wordValue])\n recordSum = recordSum + self.topic_prob[docValue][topicValue][wordValue]\n for topicValue in range(0, number_of_topics):\n self.topic_prob[docValue][topicValue][wordValue] = self.topic_prob[docValue][topicValue][wordValue]/recordSum","def preprocess_scores(scores):\n\tscores['user_assessment_date'] = pd.to_datetime(scores['user_assessment_date'])\n\tscores['user_assessment_age'] = pd.to_datetime(scores['user_assessment_date'].max() + pd.DateOffset(1)) - scores['user_assessment_date']\n\n\t#converting Date to days\n\tscores['user_assessment_age'] = scores['user_assessment_age'].apply(lambda x: x.days)\n\n\t#Decay factor\n\tscores['user_assessment_decay'] = 1/(scores['user_assessment_age']//30 + 1)\n\n\tscores['user_assessment_decay'] = scores['user_assessment_score'] * scores['user_assessment_decay']\n\tscores_decay_scaler = MinMaxScaler()\n\tscores['user_assessment_decay'] = scores_decay_scaler.fit_transform(scores['user_assessment_decay'].values.reshape(-1,1))\n\tscores.drop(['user_assessment_date', 'user_assessment_score', 'user_assessment_age'], axis=1, inplace=True)\n\tscores_tags = scores.groupby(by='user_handle')['assessment_tag'].apply(list).reset_index()\n\tscores_decay = scores.groupby(by='user_handle')['user_assessment_decay'].apply(list).reset_index()\n\tscores_final = pd.merge(scores_tags, scores_decay, on='user_handle')\n\n\tscores_final = scores_final.apply(expand_scores, axis=1)\n\tscores_final.fillna(value=0, inplace=True)\n\tscores_final.drop(['assessment_tag', 'user_assessment_decay'], axis=1, inplace=True)\n\treturn scores_final","def _update(self, results):\n logger = getLogger(\"problog_lfi\")\n fact_body = defaultdict(int)\n fact_par = defaultdict(int)\n\n score = 0.0\n for m, pEvidence, result in results:\n par_marg = dict()\n for fact, value in result.items():\n # use the id and the t variables as index\n index = (fact.args[0], fact.args[1])\n if fact.functor == \"lfi_body\":\n fact_body[index] += value * m\n elif fact.functor == \"lfi_par\":\n if index in par_marg:\n par_marg[index] += value\n for o_index in self._adatomc[index[0]]:\n par_marg[(o_index, *index[1:])] += value\n else:\n par_marg[index] = value\n for o_index in self._adatomc[index[0]]:\n par_marg[(o_index, *index[1:])] = value\n\n for index, value in par_marg.items():\n fact_par[index] += value * m\n try:\n score += math.log(pEvidence)\n except ValueError:\n logger.debug(\"Pr(evidence) == 0.0\")\n\n update_list = fact_body\n\n weight_changed = []\n for weight in self._weights:\n if isinstance(weight, float):\n weight_changed.append(False)\n elif isinstance(weight, dict):\n d = dict()\n for w in weight:\n d[w] = False\n weight_changed.append(d)\n\n score = 0.0\n for index in update_list:\n if float(fact_body[index]) <= 10**-15:\n # if close to zero\n prob = 0.0\n else:\n prob = float(fact_body[index]) / float(fact_par[index])\n try:\n score += math.log(prob)\n except ValueError as ex:\n # prob too close to zero\n pass\n\n logger.debug(\n \"Update probabilistic fact {}: {} / {} = {}\".format(\n index, fact_body[index], fact_par[index], prob\n )\n )\n self._set_weight(index[0], index[1], prob, weight_changed=weight_changed)\n if not index[1]:\n weight_changed[int(index[0])] = True\n elif (\n isinstance(weight_changed[int(index[0])], dict)\n and index[1] in weight_changed[int(index[0])]\n ):\n weight_changed[int(index[0])][index[1]] = True\n else:\n weight_changed[int(index[0])] = {index[1]: True}\n\n if self._enable_normalize:\n self._normalize_weights()\n\n return score","def rankDocuments(terms, docs, index, idf, tf, rt, likes, score):\n \n # init docvectors and queryvector to dict and array of 0, to be filled later\n docVectors=collections.defaultdict(lambda: [0]*len(terms)) \n queryVector=[0]*len(terms) \n\n if score == \"1\":\n # compute the norm for the query tf\n query_terms_count = collections.Counter(terms) # get the frequency of each term in the query. \n \n query_norm = np.linalg.norm(list(query_terms_count.values()))\n \n for termIndex, term in enumerate(terms): #termIndex is the index of the term in the query\n if term not in index:\n continue\n \n ## Compute tf*idf(normalize tf as done with documents)\n queryVector[termIndex] = query_terms_count[term] / query_norm * idf[term]\n\n # Generate docVectors for matching docs\n for docIndex, (doc, postings) in enumerate(index[term]):\n # in form of [docIndex, (doc, postings)] \n if doc in docs:\n docVectors[doc][termIndex]=tf[term][docIndex] * idf[term]\n # calculate the score of each doc\n # compute the cosine similarity between queyVector and each docVector:\n docScores=[ [np.dot(curDocVec, queryVector), doc] for doc, curDocVec in docVectors.items() ]\n else:\n # as we just want cosine similarity but not use tf-idf, we're using the term frequency as a weight\n # in our custom ranking\n # compute the norm for the query tf\n query_terms_count = collections.Counter(terms) # get the frequency of each term in the query. \n \n query_norm = np.linalg.norm(list(query_terms_count.values()))\n \n for termIndex, term in enumerate(terms): #termIndex is the index of the term in the query\n if term not in index:\n continue\n \n ## Compute tf (normalize tf as done with documents)\n queryVector[termIndex] = query_terms_count[term] / query_norm \n\n # Generate docVectors for matching docs\n for docIndex, (doc, postings) in enumerate(index[term]):\n # in form of [docIndex, (doc, postings)] \n if doc in docs:\n docVectors[doc][termIndex]=tf[term][docIndex]\n # calculate the score of each doc\n # compute the cosine similarity and add rt and fav score\n # rt brings to more visibility than a like, hence a higher score\n docScores=[ [np.dot(curDocVec, queryVector) + 1.5*rt[doc] + likes[doc], doc] for doc, curDocVec in docVectors.items() ]\n docScores.sort(reverse=True)\n resultDocs=[x[1] for x in docScores]\n if len(resultDocs) == 0:\n print(\"No results found, try again\")\n return None \n return resultDocs","def finalize_total_energy(self, pose, sfxn, emap):\n\t\tpose = pose ## for newer versions remove line\n\t\te_val = 0\n\t\tfor segment_idx in range(len(segment_break_list)):\n\t\t\tr_xyz = np.zeros([int(scaling_info_holder[segment_idx][4]), 3])\n\t\t\trg_sq = np.zeros([int(scaling_info_holder[segment_idx][4]), 1])\n\t\t\tstart_res = 1\n\t\t\tif segment_idx > 0:\n\t\t\t\tstart_res = segment_break_list[segment_idx-1][0] + 1\n\t\t\tend_res = segment_break_list[segment_idx][0] + 1\n\t\t\tfor res_num in range(start_res, end_res, 1):\n\t\t\t\tfor res_xyz in range(len(r_xyz[0])):\n\t\t\t\t\tr_xyz[res_num-start_res][res_xyz] = pose.residue(res_num).nbr_atom_xyz()[res_xyz]\n\t\t\tr_cen_mass = np.average(r_xyz, axis=0)\n\t\t\tfor res_num in range(len(r_xyz)):\n\t\t\t\trg_sq[res_num] = (np.linalg.norm(r_xyz[res_num] - r_cen_mass))**2\n\t\t\trg_val = np.sqrt(np.average(rg_sq))\n\t\t\trg_sf_term_potential = rg_sf_term_potential_list[segment_idx]\n\t\t\te_val = e_val + float(rg_sf_term_potential(rg_val))\n\t\temap.set(self.scoreType, e_val) ## for newer versions remove .get()","def performance(stats):\n\n def fbeta_score(precision, recall, beta=1.0):\n beta_square = beta * beta\n if (precision != 0.0) and (recall != 0.0):\n res = ((1 + beta_square) * precision * recall / (beta_square * precision + recall))\n else:\n res = 0.0\n return res\n\n def prf1(tp_, fp_, fn_, tn_):\n # 单类的\n tp_ = np.sum(tp_, axis=0) #batch*=》\n fp_ = np.sum(fp_, axis=0)\n fn_ = np.sum(fn_, axis=0)\n tn_ = np.sum(tn_, axis=0)\n # 总体的\n atp = np.sum(tp_)\n afp = np.sum(fp_)\n afn = np.sum(fn_)\n atn = np.sum(tn_)\n\n micro_p = (1.0 * atp) / (atp + afp) if (atp + afp != 0) else 0.0\n micro_r = (1.0 * atp) / (atp + afn) if (atp + afn != 0) else 0.0\n micro_f = fbeta_score(micro_p, micro_r)\n\n pp = [0]\n rr = [0]\n ff = [0]\n macro_p = np.mean(pp)\n macro_r = np.mean(rr)\n macro_f = np.mean(ff)\n\n acc = (atp + atn) / (atp + atn + afp + afn) if (atp + atn + afp + afn) else 0.0\n acc_NA = atn / (atn + afp) if (atn + afp) else 0.0\n acc_not_NA = atp / (atp + afn) if (atp + afn) else 0.0\n return {'acc': acc, 'NA_acc': acc_NA, 'not_NA_acc': acc_not_NA,\n 'micro_p': micro_p, 'micro_r': micro_r, 'micro_f': micro_f,\n 'macro_p': macro_p, 'macro_r': macro_r, 'macro_f': macro_f,\n 'tp': atp, 'true': atp + afn, 'pred': atp + afp, 'total': (atp + atn + afp + afn)}\n\n fin_loss = sum(stats['loss']) / len(stats['loss'])\n scores = prf1(stats['tp'], stats['fp'], stats['fn'], stats['tn'])\n return fin_loss, scores","def compute_doc_scores(self, query_terms, inverted_indexes,\n doc_lengths, parameters):\n \n doc_scores = dict() # This is to contain each document's score\n for term in query_terms: # For each query term ...\n \n # Retrieve information regarding the current term\n term_info = inverted_indexes[term]\n n_docs_containing_term = len(term_info)\n \n # For each document that contains the term ...\n for cord_uid in term_info.keys():\n tf = term_info[cord_uid] # Retrieve the term frequency\n doc_length = doc_lengths[cord_uid] # Retrieve the document length\n \n # Compute document's score for this term\n score = self.compute_term_BM25(term, tf, n_docs_containing_term,\n Constants.doc_count,\n Constants.avg_doc_length, doc_length,\n parameters.k, parameters.b)\n \n # Store or increment the score\n if cord_uid in doc_scores:\n doc_scores[cord_uid] += score\n else:\n doc_scores[cord_uid] = score\n \n return doc_scores","def calculateSD():\r\n evaluationSum, activitySum, potencySum = 0, 0, 0 #creates the variables that store the running sums of evaluation, activity and potency respectively\r\n arrayOfDictionaries = prepareSemanticDifferential() #reads the EPA values from the Osgood wordlist, and fills a dictionary with them. This is how the script knows to rate the EPA values of following text files.\r\n \r\n #This is the portion of the program that accepts new text files\r\n \r\n speech = readFile('PoliticalSpeech.txt') #stores obama's speech to a variable called speech, using the readFile method\r\n speechArray = getWords(speech) #turns that paragraph into an array with an index for each word, by calling the getWords method\r\n speechArrayClean = cleanWords(speechArray) #uses the cleanWords method to remove punctuation and make it case insensitive\r\n \r\n #turns the Osgood wordlist into a list of all the words, without their values, to be used as a check for whether the word in the speechArrayClean list is in the Osgood Wordlist\r\n possibleWords = []\r\n for i in range(len(arrayOfDictionaries)):\r\n whichDictionary = arrayOfDictionaries[i]\r\n possibleWords.append(whichDictionary['word'])\r\n \r\n #Iterates through the osgood wordlist. If the word from the wordlist is in the speech, add that words EPA values to the running counters\r\n for word in range(len(possibleWords)): #goes through the array that just holds the words from the Osgood wordlist\r\n currentDictionary = arrayOfDictionaries[word] #stores which dictioary in the wordlist we're using in this iteration, which is to say which word we are checking for and the values it holds\r\n if findPOS(currentDictionary['word']) == \"ADJECTIVE\" or findPOS(currentDictionary['word']) == \"ADVERB\":\r\n if currentDictionary['word'] in speechArrayClean:\r\n #if the word is an adj/adv and is in the speech, it's EPA values are added to the counters\r\n evaluationSum+=currentDictionary['evaluation']\r\n activitySum+=currentDictionary['activity']\r\n potencySum+=currentDictionary['potency']\r\n print(f\"The evaluation sum of the text file is: {evaluationSum}, the activity sum of the text file is: {activitySum}, The Potency sum of the text file is: {potencySum}\")","def score(self, doc, c):\n # >>> YOUR ANSWER HERE\n # the inner loop in the TEST NAIVE BAYES, sum up the logprior of the class and all words' loglikelihood\n sum = self.logprior[c]\n words = doc.split()\n for w in words:\n if w in self.vocabulary:\n sum += self.loglikelihood[(w, c)]\n return sum\n # >>> END YOUR ANSWER","def tf_idf_score():\n\n global final_doc_set\n global final_dictionary\n final_score = []\n\n for doc_id in final_doc_set:\n score = 0\n for query_term in final_dictionary.keys():\n if final_dictionary[query_term][1].get(doc_id):\n tf = final_dictionary[query_term][1][doc_id][0]\n df = final_dictionary[query_term][0]\n\n score += ((1 + log10(tf)) * log10(TOTAL_DOCS / df))\n\n final_score.append([doc_id, score])\n\n return final_score","def postNormBySetE(inputRunMatrix, setEScores, ms1FileList):\n\text = \"_ms1Peak.txt\"\n\t# currently assumes that post norm value is found in 4th column of file\n\twith open(setEScores,'r') as normFile:\n\t\tfor line1 in normFile:\n\t\t\tline1_sp = line1.strip().split('\\t')\n\n\t\t\tcurFile = line1_sp[0]\n\t\t\tcurFile_sp = curFile.split(\"___\")\n\n\t\t\tleftFile = curFile_sp[0]\n\t\t\trightFile = curFile_sp[1]\n\n\t\t\tleftFileIndex = ms1FileList.index(leftFile)\n\t\t\trightFileIndex = ms1FileList.index(rightFile)\n\t\t\t\n\t\t\tnormVal = float(line1_sp[3])\n\n\t\t\tif leftFileIndex == rightFileIndex:\n\t\t\t\tinputRunMatrix[leftFileIndex][rightFileIndex] = \\\n\t\t\t\tinputRunMatrix[leftFileIndex][rightFileIndex] * normVal\n\t\t\telse:\n\t\t\t\tinputRunMatrix[leftFileIndex][rightFileIndex] = \\\n\t\t\t\tinputRunMatrix[leftFileIndex][rightFileIndex] * normVal\n\n\t\t\t\tinputRunMatrix[rightFileIndex][leftFileIndex] = \\\n\t\t\t\tinputRunMatrix[rightFileIndex][leftFileIndex] * normVal","def record_em_score(record_examples: List[RecordNestedExample]):\n if not record_examples:\n return 0.\n em_scores = []\n for example in record_examples:\n example_ems = []\n for answer in example.answers:\n example_ems.append(string_f1_score(example.prediction, answer))\n if example_ems:\n em_scores.append(max(example_ems))\n return np.mean(em_scores) if em_scores else -1","def evaluate_model():\n\n # Get the processed data (in proper format to evaluate the NER model)\n data = get_json_from_file_path(PROCESSED_DATA_PATH)\n # Split the dataset for training and test as we did for training\n train_data, test_data = train_test_split(data, train_size=0.7, \n random_state=4)\n\n # Load the model trained\n try:\n ner_model = spacy.load(OUTPUT_MODEL_PATH)\n except Exception as err:\n msg = f'Could not load the model. Error: {err}'\n raise Exception(msg)\n\n # Compute evaluation scores\n print('Computing metrics...')\n scores = evaluate(ner_model, test_data)\n # General metrics of the model\n f_score = scores.get('ents_f')\n precision = scores.get('ents_p')\n recall = scores.get('ents_r')\n print('\\nScoring:')\n print(f'F-score: {f_score}')\n print(f'Precision: {precision}')\n print(f'Recall: {recall}')\n\n # Get the specific scores for each entity \n scores_per_entity = scores.get('ents_per_type')\n # Get the F-score of the entities\n f_scores_of_entities = []\n for entity_scores in scores_per_entity.values():\n f_scores_of_entities.append(entity_scores['f'])\n # Compute the macro averaged F-score\n macro_avg_f_score = sum(f_scores_of_entities)/len(f_scores_of_entities)\n print(f'Macro averaged F-score: {macro_avg_f_score}')\n \n print('\\nScores per entity;')\n print('{:<15} {:<10} {:<10} {:<10}'.format('Entity','F-score','Precision','Recall'))\n for key, value in scores_per_entity.items():\n entity = key\n f, p, r = value['f'], value['p'], value['r']\n print('{:<15} {:<10.2f} {:<10.2f} {:<10.2f}'.format(entity, f, p, r))","def _doc_update(gammad, beta_ixw, alpha, tol=1e-2, eta_ixw=None):\n # TODO: this method should see only what it should see!\n \n # index to the words appearing in the document\n \n K, N = beta_ixw.shape\n \n phi = np.zeros((K, N), dtype=float) + 1./K # only appearing words get a phi\n\n # store the previous values for convergence check\n phi_prev = phi.copy()\n gammad_prev = gammad.copy()\n \n # calculate bounds\n bound = -float(\"inf\")\n bound_prev = _doc_lowerbound(phi, gammad, beta_ixw, alpha)\n\n for ctr in xrange(200):\n # update phi\n # WARN: exp digamma underflows < 1e-3!\n # TODO: carry this to the log domain?\n log_mult = np.log(beta_ixw.T)\n if eta_ixw is not None: \n log_mult += np.log(eta_ixw.T)\n \n logphi = (log_mult + spec.digamma(gammad)).T\n logphi -= logsumexp(logphi, 0)\n phi = np.exp(logphi) + 1e-50 # normalize phi columns\n\n # update gamma\n gammad = alpha + np.sum(phi, axis=1)\n\n if ctr % 20 == 0: # check convergence\n bound = _doc_lowerbound(phi, gammad, beta_ixw, alpha, eta_ixw)\n if bound - bound_prev < tol:\n break\n bound_prev = bound\n\n bound = _doc_lowerbound(phi, gammad, beta_ixw, alpha)\n log_w = _doc_probability(gammad, beta_ixw, eta_ixw)\n return log_w, bound, gammad, phi","def evaluate(self, xml_gold_path, xml_output_path):\n\n # Go through all files in xml_gold_path directory\n for file in os.listdir(xml_gold_path):\n\n # Set path to file\n file = xml_gold_path+file\n\n # Open files only, ignore subdirectories\n if os.path.isfile(file) and file.lower().endswith('.xml'):\n\n # Open xml files\n chapter_input_gold = open(file, 'r', encoding='utf8')\n chapter_input_test = open(xml_output_path+os.path.split(file)[-1], 'r', encoding='utf8')\n\n # Check if filenams are the same\n chapter_input_gold_name = os.path.split(chapter_input_gold.name)[-1]\n chapter_input_test_name = os.path.split(chapter_input_test.name)[-1]\n\n if chapter_input_gold_name == chapter_input_test_name:\n\n # Console log\n chapter_input_gold_name = chapter_input_gold.name\n chapter_input_test_name = chapter_input_test.name\n #print('Calculating score for: ' + chapter_input_gold_name + ' and: ' + chapter_input_test_name)\n\n # Process xml input file with BeautifulSoup\n chapter_input_gold = BeautifulSoup(chapter_input_gold, 'xml')\n chapter_input_test = BeautifulSoup(chapter_input_test, 'xml')\n\n # Empty variables for collecting Target scores\n target_precision_scores = 0\n target_recall_scores = 0\n target_f1_scores = 0\n target_jaccard_scores = 0\n\n # Empty variables for collecting Focus scores\n focus_precision_scores = 0\n focus_recall_scores = 0\n focus_f1_scores = 0\n focus_jaccard_scores = 0\n\n # Empty variables for collecting Negated scores\n negated_precision_scores = 0\n negated_recall_scores = 0\n negated_f1_scores = 0\n negated_jaccard_scores = 0\n\n # Empty variables for collecting Scope scores\n scope_precision_scores = 0\n scope_recall_scores = 0\n scope_f1_scores = 0\n scope_jaccard_scores = 0\n\n # Count sentences and frames\n sentence_count = 0\n gold_frames_count = 0\n test_frames_count = 0\n\n scope_gold_frames_count = 0\n #scope_test_frames_count = 0\n\n # Find all Gold and Test Sentences\n sentences_gold = chapter_input_gold.find_all('s')\n sentences_test = chapter_input_test.find_all('s')\n\n #targets_gold = chapter_input_gold.find_all('target')\n #targets_test = chapter_input_test.find_all('target')\n\n scope_gold_frames = chapter_input_gold.find_all('fe', {'name' : SCOPE_TAG_NAME})\n scope_gold_frames_count = len(scope_gold_frames)\n\n scope_test_frames = chapter_input_test.find_all('fe', {'name' : SCOPE_TAG_NAME})\n scope_test_frames_count = len(scope_test_frames)\n\n # Exit if number of sentences != between Gold and Test files\n if len(sentences_gold) != len(sentences_test):\n raise SystemExit(print('Number of sentences between Gold and Test files does not match.\\nGold:',\n len(sentences_gold), 'Test:', len(sentences_test)))\n\n # Zip Gold and Test Sentences\n for s_gold, s_test in zip(sentences_gold, sentences_test):\n\n sentence_count = sentence_count + 1\n\n gold_frames = s_gold.find_all('frame', {'name' : NEGATION_FRAME_NAME})\n test_frames = s_test.find_all('frame', {'name' : NEGATION_FRAME_NAME})\n\n gold_frames_count = gold_frames_count + len(gold_frames)\n test_frames_count = test_frames_count + len(test_frames)\n\n for item in zip(gold_frames, test_frames):\n\n #print('\\n=========')\n #print('\\nFrame:', item[0].get('id'))\n\n target_gold_list = []\n target_test_list = []\n\n focus_gold_list = []\n focus_test_list = []\n\n negated_gold_list = []\n negated_test_list = []\n\n scope_gold_list = []\n scope_test_list = []\n\n # Flatten a nested list of fenodes\n def flatten(nested_list):\n \"\"\" Flatten a nested list of fenodes \"\"\"\n t_l = []\n for i in nested_list:\n if not isinstance(i, list):\n t_l.append(i)\n else:\n t_l.extend(flatten(i))\n return t_l\n\n # Target\n if item[0].find('target'):\n target_gold = item[0].find('target')\n target_gold_fenode_id = target_gold.find('fenode').get('idref')\n target_gold_word = s_gold.find(id=target_gold_fenode_id).get('word').lower()\n\n try:\n target_test = item[1].find('target')\n target_test_fenode__id = target_test.find('fenode').get('idref')\n target_test_word = s_test.find(id=target_test_fenode__id).get('word').lower()\n except:\n target_test_word = ''\n\n elif item[1].find('target'):\n target_test = item[1].find('target')\n target_test_fenode__id = target_test.find('fenode').get('idref')\n target_test_word = s_test.find(id=target_test_fenode__id).get('word').lower()\n\n try:\n target_gold = item[0].find('target')\n target_gold_fenode_id = target_gold.find('fenode').get('idref')\n target_gold_word = s_gold.find(id=target_gold_fenode_id).get('word').lower()\n except:\n target_gold_word = ''\n\n target_gold_list.append(target_gold_word)\n target_test_list.append(target_test_word)\n\n # Sort lists\n sorted_target_gold_list = sorted(flatten(target_gold_list))\n sorted_target_test_list = sorted(flatten(target_test_list))\n\n #print('\\nTarget [Gold]:', sorted_target_gold_list)\n #print('Target [Test]:', sorted_target_test_list)\n\n\n # Focus\n if item[0].find('fe', {'name' : FOCUS_TAG_NAME}):\n focus_gold = item[0].find('fe', {'name' : FOCUS_TAG_NAME})\n try:\n focus_gold_fenode_id = focus_gold.find('fenode').get('idref')\n focus_gold_word = s_gold.find(id=focus_gold_fenode_id).get('word').lower()\n except:\n focus_gold_word = ''\n if item[1].find('fe', {'name' : FOCUS_TAG_NAME}):\n focus_test = item[1].find('fe', {'name' : FOCUS_TAG_NAME})\n try:\n focus_test_fenode_id = focus_test.find('fenode').get('idref')\n focus_test_word = s_test.find(id=focus_test_fenode_id).get('word').lower()\n except:\n focus_test_word = ''\n else:\n focus_test_word = ''\n\n elif item[1].find('fe', {'name' : FOCUS_TAG_NAME}):\n focus_test = item[1].find('fe', {'name' : FOCUS_TAG_NAME})\n try:\n focus_test_fenode_id = focus_test.find('fenode').get('idref')\n focus_test_word = s_test.find(id=focus_test_fenode_id).get('word').lower()\n except:\n focus_test_word = ''\n if item[0].find('fe', {'name' : FOCUS_TAG_NAME}):\n focus_gold = item[0].find('fe', {'name' : FOCUS_TAG_NAME})\n focus_gold_fenode_id = focus_gold.find('fenode').get('idref')\n try:\n focus_gold_word = s_gold.find(id=focus_gold_fenode_id).get('word').lower()\n except AttributeError:\n focus_gold_word = ''\n else:\n focus_gold_word = ''\n\n focus_gold_list.append(focus_gold_word)\n focus_test_list.append(focus_test_word)\n\n # Sort lists\n sorted_focus_gold_list = sorted(flatten(focus_gold_list))\n sorted_focus_test_list = sorted(flatten(focus_test_list))\n\n #print('\\nFocus [Gold]:', sorted_focus_gold_list)\n #print('Focus [Test]:', sorted_focus_test_list)\n\n\n # Negated\n if item[0].find('fe', {'name' : NEGATED_TAG_NAME}):\n negated_gold = item[0].find('fe', {'name' : NEGATED_TAG_NAME})\n negated_gold_fenode_id = negated_gold.find('fenode').get('idref')\n try:\n negated_gold_word = s_gold.find(id=negated_gold_fenode_id).get('word').lower()\n except AttributeError:\n negated_gold_word = ''\n if item[1].find('fe', {'name' : NEGATED_TAG_NAME}):\n negated_test = item[1].find('fe', {'name' : NEGATED_TAG_NAME})\n try:\n negated_test_fenode_id = negated_test.find('fenode').get('idref')\n negated_test_word = s_test.find(id=negated_test_fenode_id).get('word').lower()\n except:\n negated_test_word = ''\n else:\n negated_test_word = ''\n\n elif item[1].find('fe', {'name' : NEGATED_TAG_NAME}):\n negated_test = item[1].find('fe', {'name' : NEGATED_TAG_NAME})\n try:\n negated_test_fenode_id = negated_test.find('fenode').get('idref')\n negated_test_word = s_test.find(id=negated_test_fenode_id).get('word').lower()\n except:\n negated_test_word = ''\n if item[0].find('fe', {'name' : NEGATED_TAG_NAME}):\n negated_gold = item[0].find('fe', {'name' : NEGATED_TAG_NAME})\n negated_gold_fenode_id = negated_gold.find('fenode').get('idref')\n try:\n negated_gold_word = s_gold.find(id=negated_gold_fenode_id).get('word').lower()\n except AttributeError:\n negated_gold_word = ''\n else:\n negated_gold_word = ''\n else:\n negated_test_word = ''\n negated_gold_word = ''\n\n negated_gold_list.append(negated_gold_word)\n negated_test_list.append(negated_test_word)\n\n # Sort lists\n sorted_negated_gold_list = sorted(flatten(negated_gold_list))\n sorted_negated_test_list = sorted(flatten(negated_test_list))\n\n #print('\\nNegated [Gold]:', sorted_negated_gold_list)\n #print('Negated [Test]:', sorted_negated_test_list)\n\n\n # Resolve Terminals if Scope on a complex graph\n def resolve_non_terminals(idref):\n \"\"\" This function resolves a complex gold graph to\n a simple flat list of tokens.\n \"\"\"\n nonterminal = s_gold.find(id=idref)\n edges = nonterminal.find_all('edge')\n edge_words = []\n for edge in edges:\n e_id = edge.get('idref')\n if s_gold.find(id=e_id).get('word') is not None:\n try:\n edge_word = s_gold.find(id=e_id).get('word').lower()\n edge_words.append(edge_word)\n except:\n pass\n if s_gold.find(id=e_id).get('word') is None:\n edge_words.append(resolve_non_terminals(e_id))\n\n return edge_words\n\n def resolve_non_terminals_test(idref):\n \"\"\" This function resolves a complex test graph to\n a simple flat list of tokens.\n \"\"\"\n nonterminal = s_test.find(id=idref)\n edges = nonterminal.find_all('edge')\n edge_words = []\n for edge in edges:\n e_id = edge.get('idref')\n if s_test.find(id=e_id).get('word') is not None:\n try:\n edge_word = s_test.find(id=e_id).get('word').lower()\n edge_words.append(edge_word)\n except:\n pass\n if s_test.find(id=e_id).get('word') is None:\n edge_words.append(resolve_non_terminals(e_id))\n\n return edge_words\n\n # Scope\n if item[0].find('fe', {'name' : SCOPE_TAG_NAME}):\n scope_gold = item[0].find('fe', {'name' : SCOPE_TAG_NAME})\n scope_gold_fenodes = scope_gold.find_all('fenode')\n for s_g in scope_gold_fenodes:\n s_id = s_g.get('idref')\n if s_gold.find(id=s_id).get('word') is not None:\n try:\n scope_word = s_gold.find(id=s_id).get('word').lower()\n scope_gold_list.append(scope_word)\n except:\n pass\n if s_gold.find(id=s_id).get('word') is None:\n scope_gold_list.append(resolve_non_terminals(s_id))\n else:\n pass\n\n if item[1].find('fe', {'name' : SCOPE_TAG_NAME}):\n scope_test = item[1].find('fe', {'name' : SCOPE_TAG_NAME})\n scope_test_fenodes = scope_test.find_all('fenode')\n for s_t in scope_test_fenodes:\n s_id = s_t.get('idref')\n if s_test.find(id=s_id).get('word') is not None:\n try:\n scope_word = s_test.find(id=s_id).get('word').lower()\n scope_test_list.append(scope_word)\n except:\n pass\n elif s_test.find(id=s_id).get('word') is None:\n scope_test_list.append(resolve_non_terminals_test(s_id))\n else:\n scope_test_list.append('')\n\n elif item[1].find('fe', {'name' : SCOPE_TAG_NAME}):\n scope_test = item[1].find('fe', {'name' : SCOPE_TAG_NAME})\n scope_test_fenodes = scope_test.find_all('fenode')\n for s_t in scope_test_fenodes:\n s_id = s_t.get('idref')\n if s_test.find(id=s_id).get('word') is not None:\n try:\n scope_word = s_test.find(id=s_id).get('word').lower()\n scope_test_list.append(scope_word)\n except:\n pass\n if s_test.find(id=s_id).get('word') is None:\n scope_test_list.append(resolve_non_terminals_test(s_id))\n else:\n pass\n\n if item[0].find('fe', {'name' : SCOPE_TAG_NAME}):\n scope_gold = item[1].find('fe', {'name' : SCOPE_TAG_NAME})\n scope_gold_fenodes = scope_gold.find_all('fenode')\n for s_g in scope_gold_fenodes:\n s_id = s_g.get('idref')\n if s_gold.find(id=s_id).get('word') is not None:\n try:\n scope_word = s_gold.find(id=s_id).get('word').lower()\n scope_gold_list.append(scope_word)\n except:\n pass\n if s_gold.find(id=s_id).get('word') is None:\n scope_gold_list.append(resolve_non_terminals(s_id))\n else:\n pass\n else:\n scope_gold_list.append('')\n\n # Sort lists\n sorted_scope_gold_list = sorted(flatten(scope_gold_list))\n sorted_scope_test_list = sorted(flatten(scope_test_list))\n\n #print('\\nScope [Gold]:', sorted_scope_gold_list)\n #print('Scope [Test]:', sorted_scope_test_list)\n\n # If lists are same length, check if items are same\n if len(sorted_scope_gold_list) == len(sorted_scope_test_list):\n sorted_scope_test_list_intersection = set(sorted_scope_gold_list).intersection(sorted_scope_test_list)\n sorted_scope_test_list_intersection = list(sorted_scope_test_list_intersection)\n if len(sorted_scope_test_list_intersection) < len(sorted_scope_test_list):\n difference = len(sorted_scope_test_list) - len(sorted_scope_test_list_intersection)\n empty_element = 0\n\n while empty_element < difference:\n sorted_scope_test_list_intersection.append('')\n empty_element = empty_element + 1\n \n sorted_scope_test_list = sorted_scope_test_list_intersection\n\n # If lists are different lengths, add empty elements\n elif len(sorted_scope_gold_list) > len(sorted_scope_test_list):\n difference = len(sorted_scope_gold_list) - len(sorted_scope_test_list)\n empty_element = 0\n\n while empty_element < difference:\n sorted_scope_test_list.append('')\n empty_element = empty_element + 1\n\n elif len(sorted_scope_test_list) > len(sorted_scope_gold_list):\n difference = len(sorted_scope_test_list) - len(sorted_scope_gold_list)\n empty_element = 0\n\n while empty_element < difference:\n sorted_scope_gold_list.append('')\n empty_element = empty_element + 1\n\n\n # Align items in the lists for sklearn, set 1 for matched items, else set 0\n sorted_target_gold_list_normalized = [1 if element in sorted_target_gold_list and not element == \"\" else 0 for element in sorted_target_gold_list]\n sorted_target_test_list_normalized = [1 if element in sorted_target_gold_list else 0 for element in sorted_target_test_list]\n\n sorted_focus_gold_list_normalized = [1 if element in sorted_focus_gold_list and not element == \"\" else 0 for element in sorted_focus_gold_list]\n sorted_focus_test_list_normalized = [1 if element in sorted_focus_gold_list else 0 for element in sorted_focus_test_list]\n\n sorted_negated_gold_list_normalized = [1 if element in sorted_negated_gold_list and not element == \"\" else 0 for element in sorted_negated_gold_list]\n sorted_negated_test_list_normalized = [1 if element in sorted_negated_gold_list else 0 for element in sorted_negated_test_list]\n\n sorted_scope_gold_list_normalized = [1 if element in sorted_scope_gold_list and not element == \"\" else 0 for element in sorted_scope_gold_list]\n sorted_scope_test_list_normalized = [1 if element in sorted_scope_gold_list else 1 if not element == \"\" else 0 for element in sorted_scope_test_list]\n\n #print(sorted_scope_gold_list_normalized)\n #print(sorted_scope_test_list_normalized)\n\n\n # Sklearn calculations\n #target_precision_scores = target_precision_scores + precision_score(sorted_target_gold_list_normalized, sorted_target_test_list_normalized, average='weighted')\n #target_recall_scores = target_recall_scores + recall_score(sorted_target_gold_list_normalized, sorted_target_test_list_normalized, average='weighted')\n target_f1_scores = target_f1_scores + f1_score(sorted_target_gold_list_normalized, sorted_target_test_list_normalized, average='weighted')\n #target_jaccard_scores = target_jaccard_scores + jaccard_similarity_score(sorted_target_gold_list, sorted_target_test_list)\n\n #focus_precision_scores = focus_precision_scores + precision_score(sorted_focus_gold_list_normalized, sorted_focus_test_list_normalized, average='weighted')\n #focus_recall_scores = focus_recall_scores + recall_score(sorted_focus_gold_list_normalized, sorted_focus_test_list_normalized, average='weighted')\n focus_f1_scores = focus_f1_scores + f1_score(sorted_focus_gold_list_normalized, sorted_focus_test_list_normalized, average='weighted')\n #focus_jaccard_scores = focus_jaccard_scores + jaccard_similarity_score(sorted_focus_gold_list, sorted_focus_test_list)\n\n #negated_precision_scores = negated_precision_scores + precision_score(sorted_negated_gold_list_normalized, sorted_negated_test_list_normalized, average='weighted')\n #negated_recall_scores = negated_recall_scores + recall_score(sorted_negated_gold_list_normalized, sorted_negated_test_list_normalized, average='weighted')\n negated_f1_scores = negated_f1_scores + f1_score(sorted_negated_gold_list_normalized, sorted_negated_test_list_normalized, average='weighted')\n #negated_jaccard_scores = negated_jaccard_scores + jaccard_similarity_score(sorted_negated_gold_list, sorted_negated_test_list)\n\n scope_precision_scores = scope_precision_scores + precision_score(sorted_scope_gold_list_normalized, sorted_scope_test_list_normalized, average='weighted')\n scope_recall_scores = scope_recall_scores + recall_score(sorted_scope_gold_list_normalized, sorted_scope_test_list_normalized, average='weighted')\n scope_f1_scores = scope_f1_scores + f1_score(sorted_scope_gold_list_normalized, sorted_scope_test_list_normalized, average='weighted')\n scope_jaccard_scores = scope_jaccard_scores + jaccard_similarity_score(sorted_scope_gold_list, sorted_scope_test_list)\n\n\n print('\\n=============================')\n print('====== EVALUATION for:', chapter_input_test_name, '======')\n print('Total Sentences:', sentence_count,\n '\\nNegation Gold frames:', gold_frames_count,\n '\\nNegation Test frames:', test_frames_count, '\\n')\n\n print('----- CUEWORDS -----')\n #print('Precision:\\t', target_precision_scores / gold_frames_count)\n #print('Recall:\\t', target_recall_scores / gold_frames_count)\n print('F1 score:\\t', target_f1_scores / gold_frames_count)\n #print('Jaccard similarity:\\t', target_jaccard_scores / gold_frames_count)\n\n print('\\n----- FOCUS -----')\n #print('Precision:\\t', focus_precision_scores / gold_frames_count)\n #print('Recall:\\t', focus_recall_scores / gold_frames_count)\n print('F1 score:\\t', focus_f1_scores / gold_frames_count)\n #print('Jaccard similarity:\\t', focus_jaccard_scores / gold_frames_count)\n\n print('\\n----- NEGATED -----')\n #print('Precision:\\t', negated_precision_scores / gold_frames_count)\n #print('Recall:\\t', negated_recall_scores / gold_frames_count)\n print('F1 score:\\t', negated_f1_scores / gold_frames_count)\n #print('Jaccard similarity:\\t', negated_jaccard_scores / gold_frames_count)\n\n print('\\n----- SCOPE -----\\nScope Gold frames:', scope_gold_frames_count, '\\nScope Test frames:', scope_test_frames_count, '\\n')\n print('Precision:\\t', scope_precision_scores / scope_test_frames_count)\n print('Recall:\\t', scope_recall_scores / scope_test_frames_count)\n print('F1 score:\\t', scope_f1_scores / scope_test_frames_count)\n print('Jaccard similarity:\\t', scope_jaccard_scores / scope_test_frames_count)\n\n print('Done!')","def learn_distributions(file_lists_by_category):\n ### TODO: Write your code here\n\n #get word frequncies in each email category\n #key:word, value: number of occurences in this email loader\n spam_dict = util.get_word_freq(file_lists_by_category[0])\n ham_dict = util.get_word_freq(file_lists_by_category[1])\n\n #get total length of each email loader\n spam_length = sum(spam_dict.values())\n ham_length = sum(ham_dict.values())\n\n #get the length of the dictionary: D\n dict_D = util.Counter()\n for key in spam_dict:\n dict_D[key] += spam_dict[key]\n for key in ham_dict:\n dict_D[key] += ham_dict[key]\n D = len(dict_D)\n\n spam_distribution = {}\n ham_distribution = {}\n #get the distributions of two email loaders\n for i in dict_D:\n spam_distribution[i] = (spam_dict[i] + 1) / (D + spam_length)\n\n for i in dict_D:\n ham_distribution[i] = (ham_dict[i] + 1) / (D + ham_length)\n #create the required tuple\n probabilities_by_category = (spam_distribution, ham_distribution)\n return probabilities_by_category","def _compute_normalised_scores(self):\n\n results = self.snapshot['results']\n assg = AssignmentConfig().get_assignment()\n\n if results:\n self.snapshot['best_average_bugs_detected'] = \\\n max([results[submitter]['average_bugs_detected'] for submitter in results])\n self.snapshot['best_average_tests_evaded'] = \\\n max([results[submitter]['average_tests_evaded'] for submitter in results])\n\n for submitter in results.keys():\n submitter_bugs_detected = float(results[submitter]['average_bugs_detected'])\n submitter_tests_escaped = float(results[submitter]['average_tests_evaded'])\n\n results[submitter]['normalised_test_score'] = assg.compute_normalised_test_score(\n submitter_bugs_detected, self.snapshot['best_average_bugs_detected'],\n self.snapshot['results'][submitter]['average_tests_per_suite']\n )\n\n results[submitter]['normalised_prog_score'] = assg.compute_normalised_prog_score(\n submitter_tests_escaped, self.snapshot['best_average_tests_evaded']\n )\n\n # The current scoring algo for tests doesn't give the best test suite a maximums score.\n # re-normalise to make this happen\n best_test_score = max([results[submitter]['normalised_test_score'] for submitter in results.keys()])\n if best_test_score == 0:\n best_test_score = 1\n for submitter in results.keys():\n new_score = round(results[submitter]['normalised_test_score'] * (2.5 / best_test_score), 2)\n results[submitter]['normalised_test_score'] = new_score","def score_sc1(self, prediction_file):\n fh = TempFile()\n gs1, _ = self.download_gs()\n script = self.classpath + os.sep + \"DREAM_Olfaction_scoring_Q1.pl\"\n cmd = \"perl %s %s %s %s\"\n cmd = cmd % (script, prediction_file, fh.name, gs1)\n shellcmd(cmd)\n df = pd.read_csv(fh.name, sep='\\t', index_col=None).ix[0]\n fh.delete()\n return df\n\n\n # score sub1 = (zint +zple +zdec)/3\n # sigma_int = 0.0787\n # sigma_ple = 0.176\n # signa_dec = 0.0042\n\n # final is average of zscores","def train(self, documents):\n X_train, X_test, Y_train, Y_test = self._read(documents) \n \n self.clf.fit(X_train,Y_train)\n \n acc = roc_auc_score(Y_test,self.clf.predict_proba(X_test)[:,1])\n \n print (\"Accuracy: \",acc)","def compute_TF(doc_info):\n tf_scores = []\n\n for idx, doc in enumerate(doc_info):\n tf_score_table = {}\n for word in doc['freq_dict'].keys():\n count = doc['freq_dict'][word]\n tf_score_table[word] = count/doc_info[idx]['doc_length']\n tf_scores.append(tf_score_table)\n\n return tf_scores","def train(self, documents):\n ###DONE\n\n #entire vocab in document set D\n vocab_sod = set()\n vocab_pop = set()\n \n #Calcuates prior probabilities\n priorSOD = 0 #how many docs are spam\n priorPOP = 0 #how many docs are ham\n \n #Cacluates Tct\n term_freq_sod = {} #{term:occur, term:occur}\n term_freq_pop = {}\n \n #Tct'\n Tct_sod = 0 #Tct' = sum of (every term occurence in class c + 1)\n Tct_pop = 0\n \n for doc in documents: \n if 'sod' in doc.label:\n priorSOD += 1\n for token in doc.tokens:\n Tct_sod += 1\n if token in term_freq_sod.keys():\n term_freq_sod[token] = term_freq_sod[token] + 1\n else:\n term_freq_sod[token] = 1\n vocab_sod.add(token) \n else:\n priorPOP += 1\n for token in doc.tokens:\n Tct_pop += 1\n if token in term_freq_pop.keys():\n term_freq_pop[token] = term_freq_pop[token] + 1\n else:\n term_freq_pop[token] = 1\n vocab_pop.add(token)\n \n \n #endfor\n # | is for set join\n self.vocab = vocab_sod | vocab_pop #gets rid of duplicate words (those in both 'ham' and 'spam') \n \n #Tct Primes\n #tct' = term freq of all terms in class c + 1*(total terms)\n Tct_sod = Tct_sod + len(self.vocab) \n Tct_pop = Tct_pop + len(self.vocab) \n \n \n print(\"PriorSod: \" + str(priorSOD))\n print(\"PriorPop: \" + str(priorPOP))\n print(\"LEN Docum: \" + str(len(documents)))\n \n self.priorSOD = priorSOD / len(documents)\n self.priorPOP = priorPOP / len(documents)\n \n for term in self.vocab:\n if term in term_freq_pop.keys():\n self.cond_prob_pop[term] = (term_freq_pop[term] + 1) / Tct_pop\n else:\n self.cond_prob_pop[term] = 1 / Tct_pop\n \n if term in term_freq_sod.keys():\n self.cond_prob_sod[term] = (term_freq_sod[term] + 1) / Tct_sod\n else:\n self.cond_prob_sod[term] = 1 / Tct_sod\n \n \n pass","def __call__(self, results):\n for key in results.get('img_fields', ['img']):\n results[key] = general_ocr.imnormalize(results[key], self.mean, self.std,\n self.to_rgb)\n results['img_norm_cfg'] = dict(\n mean=self.mean, std=self.std, to_rgb=self.to_rgb)\n return results","def refine_tokens( self, tokens ):\n k = 1.75\n b = 0.75\n stop_words_file = \"stop_words.txt\"\n all_stopwords = list()\n refined_tokens_sources = dict()\n \n # collect all the stopwords\n with open( stop_words_file ) as file:\n lines = file.read()\n all_stopwords = lines.split( \"\\n\" )\n \n for source in tokens:\n refined_tokens = dict()\n files = dict()\n inverted_frequency = dict()\n file_id = -1\n total_file_length = 0\n for item in tokens[ source ]:\n file_id += 1\n file_tokens = tokens[ source ][ item ].split(\" \")\n if source in \"name_desc_edam_help\":\n file_tokens = utils._clean_tokens( file_tokens, all_stopwords )\n total_file_length += len( file_tokens )\n term_frequency = dict()\n for token in file_tokens:\n if token is not '':\n file_ids = list()\n if token not in inverted_frequency:\n file_ids.append( file_id )\n else:\n file_ids = inverted_frequency[ token ]\n if file_id not in file_ids:\n file_ids.append( file_id )\n inverted_frequency[ token ] = file_ids\n # for term frequency\n if token not in term_frequency:\n term_frequency[ token ] = 1\n else:\n term_frequency[ token ] += 1\n files[ item ] = term_frequency\n N = len( files )\n average_file_length = float( total_file_length ) / N\n # find BM25 score for each token of each tool. It helps to determine\n # how important each word is with respect to the tool and other tools\n for item in files:\n file_item = files[ item ]\n file_length = len( file_item )\n for token in file_item:\n tf = file_item[ token ]\n # normalize the term freq of token for each document\n tf = float( tf ) / file_length\n idf = np.log2( N / len( inverted_frequency[ token ] ) )\n alpha = ( 1 - b ) + ( float( b * file_length ) / average_file_length )\n tf_star = tf * float( ( k + 1 ) ) / ( k * alpha + tf )\n tf_idf = tf_star * idf\n file_item[ token ] = tf_idf\n # filter tokens based on the BM25 scores and stop words. Not all tokens are important\n for item in files:\n file_tokens = files[ item ]\n tokens_scores = [ ( token, score ) for ( token, score ) in file_tokens.items() ]\n sorted_tokens = sorted( tokens_scores, key=operator.itemgetter( 1 ), reverse=True )\n refined_tokens[ item ] = sorted_tokens\n tokens_file_name = 'tokens_' + source + '.txt'\n token_file_path = os.path.join( os.path.dirname( self.tools_data_path ) + '/' + tokens_file_name )\n with open( token_file_path, 'w' ) as file:\n file.write( json.dumps( refined_tokens ) )\n file.close()\n refined_tokens_sources[ source ] = refined_tokens\n return refined_tokens_sources","def append_score():\n score_frame = fu.read_file_to_df(working_file_url, u'企业评分')\n score_frame = score_frame.set_index(u'企业编号'.encode('utf-8'))\n\n for file_n in annual_report_indexes:\n print file_n\n\n data_frame = fu.read_file_to_df(corporation_index_file_url, file_n + '_index')\n data_frame = data_frame.set_index('Unnamed: 0')\n\n data_frame = data_frame.join(score_frame)\n\n fu.write_file(data_frame, corporation_index_file_url, file_n + '_index', index=True)\n return","def get_score(self, query: list, index: int, e: int = 0.5) -> float:\n score = 0.0\n total = sum(self.counts[index].values())\n for token in query:\n if token not in self.counts[index]:\n continue\n idf = math.log((self.document_count + e) / (self.token_docs[token] + e))\n score += (self.counts[index][token] / total) * idf\n\n return score","def transform(self, collection: List[List[str]]) -> List[List[float]]:\n # tokenize collection\n col_tokenized = self.preprocess(collection)\n # calculate word count for potential vocabulary trunctation\n #word_count_col = self.word_count(col_tokenized)\n # calculate term frequency\n tf_col = self.tf_calc(col_tokenized)\n tf_idf = list()\n for tf in tf_col:\n if len(tf) == len(self.idf_col):\n tf_idf_tmp = [tf[i]*self.idf_col[i] for i in range(len(self.idf_col))]\n tf_idf.append(tf_idf_tmp)\n if self.l2:\n tf_idf_tmp = list()\n for vector in tf_idf:\n v_norm = math.sqrt(sum([elm ** 2 for elm in vector]))\n if v_norm == 0:\n tf_idf_tmp.append(vector)\n continue\n v_tmp = [round(elm/v_norm, 3) for elm in vector]\n tf_idf_tmp.append(v_tmp)\n tf_idf = tf_idf_tmp\n \n return tf_idf","def update_scores(read_scores, result):\n\n\t# check that there are some results for this read\n\tassert len(result) > 0\n\t# write this read to output\n\tfor sim_match in result.keys():\n\n\t\t# get type (discordant or chimeric)\n\t\tjunc_type = sim_match.split('_')[2]\n\n\t\tfor analysis_match in result[sim_match]:\n\t\t\t\n\t\t\t# get each score type\n\t\t\tfor score_type in read_scores:\n\t\t\t\tscore = analysis_match[score_type]\n\t\t\t\tread_scores[score_type][junc_type][score] += 1","def normalize(score, alpha=15):\n norm_score = score / math.sqrt((score * score) + alpha)\n if norm_score < -1.0:\n return -1.0\n elif norm_score > 1.0:\n return 1.0\n else:\n return norm_score","def __lm_scores(en_id, txt, prefix):\n feat_field_dict = {'title': econfig.TITLE, 'sAbs': econfig.SHORT_ABS, 'lAbs': econfig.LONG_ABS,\n 'links': econfig.WIKILINKS, 'cats': econfig.CATEGORIES, 'catchall': Lucene.FIELDNAME_CONTENTS}\n ftr_extractor = QuerySimFeat(txt)\n scores = dict()\n for feature_name, field in feat_field_dict.iteritems():\n lm_score = ftr_extractor.nllr_lm_score(en_id, field) # lm_score(en_id, field)\n scores[prefix + feature_name] = lm_score if lm_score is not None else 0\n return scores","def _pre_processing(self, material_probs, convertion_rules):\n # To count items and stages.\n additional_items = {\"30135\": u\"D32钢\", \"30125\": u\"双极纳米片\", \"30115\": u\"聚合剂\"}\n exp_unit = 200 * (30.0 - 0.048 * 30) / 7400\n gold_unit = 0.004\n exp_worths = {\n \"2001\": exp_unit,\n \"2002\": exp_unit * 2,\n \"2003\": exp_unit * 5,\n \"2004\": exp_unit * 10,\n \"3003\": exp_unit * 2,\n }\n gold_worths = {}\n\n item_dct = {}\n stage_dct = {}\n for dct in material_probs[\"matrix\"]:\n item_dct[dct[\"item\"][\"itemId\"]] = dct[\"item\"][\"name\"]\n stage_dct[dct[\"stage\"][\"code\"]] = dct[\"stage\"][\"code\"]\n item_dct.update(additional_items)\n\n # To construct mapping from id to item names.\n item_array = []\n item_id_array = []\n for k, v in item_dct.items():\n try:\n float(k)\n item_array.append(v)\n item_id_array.append(k)\n except ValueError:\n pass\n self.item_array = np.array(item_array)\n self.item_id_array = np.array(item_id_array)\n self.item_id_rv = {int(v): k for k, v in enumerate(item_id_array)}\n self.item_dct_rv = {v: k for k, v in enumerate(item_array)}\n\n # To construct mapping from stage id to stage names and vice versa.\n stage_array = []\n for k, v in stage_dct.items():\n stage_array.append(v)\n self.stage_array = np.array(stage_array)\n self.stage_dct_rv = {v: k for k, v in enumerate(self.stage_array)}\n\n # To format dropping records into sparse probability matrix\n probs_matrix = np.zeros([len(stage_array), len(item_array)])\n cost_lst = np.zeros(len(stage_array))\n cost_exp_offset = np.zeros(len(stage_array))\n cost_gold_offset = np.zeros(len(stage_array))\n for dct in material_probs[\"matrix\"]:\n try:\n cost_lst[self.stage_dct_rv[dct[\"stage\"][\"code\"]]] = dct[\"stage\"][\n \"apCost\"\n ]\n float(dct[\"item\"][\"itemId\"])\n probs_matrix[\n self.stage_dct_rv[dct[\"stage\"][\"code\"]],\n self.item_dct_rv[dct[\"item\"][\"name\"]],\n ] = dct[\"quantity\"] / float(dct[\"times\"])\n if cost_lst[self.stage_dct_rv[dct[\"stage\"][\"code\"]]] != 0:\n cost_gold_offset[self.stage_dct_rv[dct[\"stage\"][\"code\"]]] = -dct[\n \"stage\"\n ][\"apCost\"] * (12 * gold_unit)\n except ValueError:\n pass\n\n try:\n cost_exp_offset[self.stage_dct_rv[dct[\"stage\"][\"code\"]]] -= (\n exp_worths[dct[\"item\"][\"itemId\"]]\n * dct[\"quantity\"]\n / float(dct[\"times\"])\n )\n except (KeyError, ValueError):\n pass\n\n try:\n cost_gold_offset[self.stage_dct_rv[dct[\"stage\"][\"code\"]]] -= (\n gold_worths[dct[\"item\"][\"itemId\"]]\n * dct[\"quantity\"]\n / float(dct[\"times\"])\n )\n except (KeyError, ValueError):\n pass\n\n # Hardcoding: extra gold farmed.\n cost_gold_offset[self.stage_dct_rv[\"S4-6\"]] -= 3228 * gold_unit\n cost_gold_offset[self.stage_dct_rv[\"S5-2\"]] -= 2484 * gold_unit\n\n # To build equivalence relationship from convert_rule_dct.\n self.convertions_dct = {}\n convertion_matrix = []\n convertion_outc_matrix = []\n convertion_cost_lst = []\n for rule in convertion_rules:\n convertion = np.zeros(len(self.item_array))\n convertion[self.item_dct_rv[rule[\"name\"]]] = 1\n\n comp_dct = {comp[\"id\"]: comp[\"count\"] for comp in rule[\"costs\"]}\n self.convertions_dct[rule[\"id\"]] = comp_dct\n for item_id in comp_dct:\n convertion[self.item_id_rv[int(item_id)]] -= comp_dct[item_id]\n convertion_matrix.append(copy.deepcopy(convertion))\n\n outc_dct = {outc[\"name\"]: outc[\"count\"] for outc in rule[\"extraOutcome\"]}\n outc_wgh = {outc[\"name\"]: outc[\"weight\"] for outc in rule[\"extraOutcome\"]}\n weight_sum = float(sum(outc_wgh.values()))\n for item_id in outc_dct:\n convertion[self.item_dct_rv[item_id]] += (\n outc_dct[item_id] * 0.175 * outc_wgh[item_id] / weight_sum\n )\n convertion_outc_matrix.append(convertion)\n\n convertion_cost_lst.append(rule[\"goldCost\"] * 0.004)\n\n convertions_group = (\n np.array(convertion_matrix),\n np.array(convertion_outc_matrix),\n np.array(convertion_cost_lst),\n )\n farms_group = (probs_matrix, cost_lst, cost_exp_offset, cost_gold_offset)\n\n return convertions_group, farms_group","def runAndSave(self, args):\n self.pen.score_for_matched_lexical = args[0]\n self.pen.score_for_matched_synonym = args[1]\n self.factor_word_offset_penalty = args[2]\n self.factor_sentence_length_mismatch = args[3]\n self.factor_name_mismatch = args[4]\n self.factor_fe_offset_penalty = args[5]\n self.weight_target_frame_element = args[6]\n self.weight_frame_elements = args[7]\n self.factor_frame_offset_penalty = args[8]\n\n team_to_row = { \"newstest2014.CMU.3461.de-en\" : 0,\n \"newstest2014.DCU-ICTCAS-Tsinghua-L.3444.de-en\" : 1,\n \"newstest2014.LIMSI-KIT-Submission.3359.de-en\" : 2,\n \"newstest2014.RWTH-primary.3266.de-en\" : 3,\n \"newstest2014.eubridge.3569.de-en\" : 4,\n \"newstest2014.kit.3109.de-en\" : 5,\n \"newstest2014.onlineA.0.de-en\" : 6,\n \"newstest2014.onlineB.0.de-en\" : 7,\n \"newstest2014.onlineC.0.de-en\" : 8,\n \"newstest2014.rbmt1.0.de-en\" : 9,\n \"newstest2014.rbmt4.0.de-en\" : 10,\n \"newstest2014.uedin-syntax.3035.de-en\" : 11,\n \"newstest2014.uedin-wmt14.3025.de-en\" : 12,\n \"newstest2014-deen-ref.de-en\" : 13}\n teams = list(team_to_row.keys())\n teams.remove(\"newstest2014-deen-ref.de-en\")\n def_list = ['-' for x in range(len(team_to_row))]\n with open('ourPessimisticRankingDiff.csv', 'wb') as our_csvfile:\n with open('bleuPessimisticRankingDiff.csv', 'wb') as bleu_csvfile:\n ourwriter = csv.writer(our_csvfile)\n bleuwriter = csv.writer(bleu_csvfile)\n\n our_print_res = list(def_list)\n bleu_print_res = list(def_list)\n for team in team_to_row.iterkeys():\n if team in teams:\n our_print_res[team_to_row[team]] = team\n bleu_print_res[team_to_row[team]] = team\n\n ourwriter.writerow(our_print_res)\n bleuwriter.writerow(bleu_print_res)\n\n for row in range(self.data.get_number_of_rows()):\n print row\n ref_sentence = self.data.get_row(row)[self.data.get_gold()]\n our_print_res = list(def_list)\n bleu_print_res = list(def_list)\n our_results = {}\n bleu_results = {}\n for team, team_sentence in self.data.get_row_for_teams(self.evaluator.get_teams(row), row).iteritems():\n our = self.get_sentence_score(ref_sentence, team_sentence)\n our_results[team] = our\n bleus = bleu_score.bleu(self.data.get_sentence_for_object(team_sentence).split(), self.data.get_sentence_for_object(ref_sentence).split(), [1])\n bleu_results[team] = bleus\n\n for team, rank in self.evaluator.diffAll(row, our_results).iteritems():\n our_print_res[team_to_row[team]] = rank\n\n for team, rank in self.evaluator.diffAll(row, bleu_results).iteritems():\n bleu_print_res[team_to_row[team]] = rank\n\n ourwriter.writerow(our_print_res)\n bleuwriter.writerow(bleu_print_res)","def calculateMeasures(\n folder_gold=\"data/dev/\", folder_pred=\"data_pred/dev/\", remove_anno=\"\"\n):\n\n flist_gold = os.listdir(folder_gold)\n res_all_gold = []\n res_all_pred = []\n targets = []\n\n if type(remove_anno) == str:\n remove_anno = [remove_anno]\n if \"types\" in remove_anno:\n remove_anno.append(\"rel\")\n\n for f in flist_gold:\n # ignoring non-.ann files, should there be any\n if not str(f).endswith(\".ann\"):\n continue\n f_gold = open(os.path.join(folder_gold, f), \"r\")\n try:\n f_pred = open(os.path.join(folder_pred, f), \"r\")\n res_full_pred, res_pred, spans_pred, rels_pred = normaliseAnnotations(\n f_pred, remove_anno\n )\n except IOError:\n print(\n f\n + \" file missing in \"\n + folder_pred\n + \". Assuming no predictions are available for this file.\"\n )\n res_full_pred, res_pred, spans_pred, rels_pred = [], [], [], []\n\n res_full_gold, res_gold, spans_gold, rels_gold = normaliseAnnotations(\n f_gold, remove_anno\n )\n\n spans_all = set(spans_gold + spans_pred)\n\n for i, r in enumerate(spans_all):\n if r in spans_gold:\n target = res_gold[spans_gold.index(r)].split(\" \")[0]\n res_all_gold.append(target)\n if not target in targets:\n targets.append(target)\n else:\n # those are the false positives, contained in pred but not gold\n res_all_gold.append(\"NONE\")\n\n if r in spans_pred:\n target_pred = res_pred[spans_pred.index(r)].split(\" \")[0]\n res_all_pred.append(target_pred)\n else:\n # those are the false negatives, contained in gold but not pred\n res_all_pred.append(\"NONE\")\n\n if \"keys\" in remove_anno:\n targets = [\"Hyponym-of\", \"Synonym-of\"]\n # y_true, y_pred, labels, targets\n prec, recall, f1, support = precision_recall_fscore_support(\n res_all_gold, res_all_pred, labels=targets, average=None\n )\n # unpack the precision, recall, f1 and support\n metrics = {}\n for k, target in enumerate(targets):\n metrics[target] = {\n \"precision\": prec[k],\n \"recall\": recall[k],\n \"f1-score\": f1[k],\n \"support\": support[k],\n }\n\n # now micro-averaged\n if not \"types\" in remove_anno:\n prec, recall, f1, s = precision_recall_fscore_support(\n res_all_gold, res_all_pred, labels=targets, average=\"micro\"\n )\n metrics[\"overall\"] = {\n \"precision\": prec,\n \"recall\": recall,\n \"f1-score\": f1,\n \"support\": sum(support),\n }\n else:\n # just binary classification, nothing to average\n metrics[\"overall\"] = metrics[\"KEYPHRASE-NOTYPES\"]\n\n print_report(metrics, targets)\n return metrics","def inference(self):\n for m, doc in enumerate(self.docs):\n # Be careful followings are views\n # So self.hoge will be change, when changing variant\n zs_j = self.zs_m_j[m]\n zk_j = self.zk_m_j[m]\n n_m_zs = self.n_m_zs[m]\n n_m_zk = self.n_m_zk[m]\n for j, t in enumerate(doc):\n # discount for n-th word t with topic z\n zs = zs_j[j]\n zk = zk_j[j]\n n_m_zs[zs] -= 1\n n_m_zk[zs, zk] -= 1\n self.n_zk_t[zk, t] -= 1\n self.n_zk[zk] -= 1\n\n # sampling topic new_z for t\n \"\"\"\n n_s = n_m_zs + self.alphas # mth doc, S vec\n p_s = n_s / np.sum(n_s)\n n_k = n_m_zk + self.alphask # mth doc, SxK matrix\n p_k = n_k / n_s.reshape(len(n_s), 1)\n n_v = self.n_zk_t[:, t] + self.beta\n p_v = n_v / (self.n_zk + self.beta)\n\n p_zsk = p_s.reshape(len(p_s), 1) * p_k * p_v # SxK matrix\n \"\"\"\n\n p_zsk = (n_m_zk + self.alphask) * self.n_zk_t[:, t] \\\n / (np.sum(n_m_zs + self.alphas) * self.n_zk)\n\n p_zs = np.sum(p_zsk, axis=1) / np.sum(p_zsk)\n p_zk = np.sum(p_zsk, axis=0) / np.sum(p_zsk)\n\n new_zs = np.random.multinomial(1, p_zs).argmax()\n new_zk = np.random.multinomial(1, p_zk).argmax()\n\n # print(\"arg\", np.argmax(p_s), np.argmax(p_k, axis=1),\n # np.argmax(p_k, axis=0), np.argmax(p_zk))\n # print('probs', p_s, p_zs)\n # print('probk', p_k, p_zk)\n # print('old', zs, zk)\n # print('new', new_zs, new_zk)\n\n # set z the new topic and increment counters\n zs_j[j] = new_zs\n zk_j[j] = new_zk\n n_m_zs[new_zs] += 1\n n_m_zk[new_zs, new_zk] += 1\n self.n_zk_t[new_zk, t] += 1\n self.n_zk[new_zk] += 1","def score(self, sentence):\n score = 0.0\n V = len(self.f1) # vocabulary size\n for token in sentence:\n if token in self.f1: score += self.f1[token]\n else: score -= math.log10(self.total + V)\t\t # OOV \n return score","def relevance_feedback_exp(vec_docs, vec_queries, sim,gt,n=10):\n\n \n top_n_relevant_doc = []\n for i in range(sim.shape[1]):\n ranked_documents = np.argsort(-sim[:, i])\n top_n_relevant_doc.append(ranked_documents[:n])\n #print ('Query:', i+1, 'Top relevant n documents:', ranked_documents[:n] + 1)\n real_rel = []\n non_rel = []\n \n for i in range(len(top_n_relevant_doc)):\n \n query = i\n curr = top_n_relevant_doc[query]\n a = []\n b = []\n \n for j in range(len(gt)):\n #print('gt[j][0]',gt[j][0])\n #print('query number', query)\n if (gt[j][0] == query+1):\n \n \n if ( gt[j][1] not in list(curr)):\n a.append(gt[j][1])\n else:\n b.append(gt[j][1])\n \n real_rel.append(b)\n non_rel.append(a)\n\n #print(real_rel)\n #print(non_rel)\n \n alpha = 0.1\n beta = 1\n\n new_vec_queries = np.zeros([30,10625])\n \n for i in range(30):\n query = vec_queries.toarray()[i]\n rel_doc = real_rel[i]\n non_doc = non_rel[i]\n\n ##\n weight_up_rel = np.zeros([10625,])\n for j in rel_doc:\n weight_doc = vec_docs.toarray()[j-1]\n weight_up_rel += weight_doc\n \n weight_up_rel = alpha * weight_up_rel\n\n ##\n\n ##\n weight_up_non = np.zeros([10625,])\n for k in non_doc:\n doc_w = vec_docs.toarray()[k-1]\n weight_up_non += doc_w\n\n weight_up_non = beta * weight_up_non\n ##\n\n new_vec_queries[i] = query + weight_up_rel + weight_up_non\n\n new_vec_queries = sparse.csr_matrix(new_vec_queries)\n\n\n######## After Updating #########\n update_rank_doc = []\n for i in range(sim.shape[1]):\n ranked_documents = np.argsort(-sim[:, i])\n update_rank_doc.append(ranked_documents[:10])\n \n #print(update_rank_doc)\n up_rel = []\n up_non = []\n \n for i in range(len(update_rank_doc)):\n \n query = i\n curr = update_rank_doc[query]\n a = []\n b = []\n \n for j in range(len(gt)):\n #print('gt[j][0]',gt[j][0])\n #print('query number', query)\n if (gt[j][0] == query+1):\n \n \n if ( gt[j][1] not in list(curr)):\n a.append(gt[j][1])\n else:\n b.append(gt[j][1])\n \n up_rel.append(b)\n up_non.append(a)\n\n\n \n all_rel_doc_tfidf = []\n \n all_rel_doc_index = []\n \n \n for i in up_rel:\n \n doc_tfidf = []\n index = []\n \n for doc_num in i:\n \n ini_v_d = vec_docs.toarray()[doc_num-1]\n v_d = np.sort(ini_v_d)[::-1]\n \n for u in range(10):\n tf = v_d[u]\n ind = list(ini_v_d).index(tf)\n index.append(ind)\n doc_tfidf.append(v_d[u])\n\n all_rel_doc_tfidf.append(doc_tfidf)\n all_rel_doc_index.append(index)\n \n\n final_vec_queries = np.zeros([30,10625])\n \n for i in range(30):\n \n query = new_vec_queries.toarray()[i]\n tfidf = all_rel_doc_tfidf[i]\n index = all_rel_doc_index[i]\n\n \n for j in range(len(index)):\n query[index[j]] += tfidf[j]\n \n \n final_vec_queries[i] = query\n\n final_vec_queries = sparse.csr_matrix(final_vec_queries)\n \n \n \n sim = cosine_similarity(vec_docs, final_vec_queries) \n\n rf_sim = sim # change\n return rf_sim","def main():\n args = parse_argument()\n train_file = args['train'][0]\n test_file = args['test'][0]\n print train_file, test_file\n \n user_ratings_train, movie_ratings_train=parse_file(train_file)\n ave_ratings=compute_average_user_ratings(user_ratings_train)\n user_train=list(user_ratings_train.keys())\n with open(test_file,'r') as test:\n with open('predictions.txt', 'w') as pred:\n writer = csv.writer(pred)\n prediction=list()\n actual=list()\n for row in csv.reader(test):\n num_sum=0.0\n sim_sum=0.0\n user=int(row[1])\n movie=int(row[0])\n other_users_ratings=movie_ratings_train[movie]\n other_users=other_users_ratings.keys()\n for i in range(len(other_users)): \n other_user=other_users[i]\n similar=compute_user_similarity(user_ratings_train[user],user_ratings_train[other_user],ave_ratings[user],ave_ratings[other_user])\n num_sum=num_sum+similar*(float(movie_ratings_train[movie][other_user])-float(ave_ratings[other_user]))\n sim_sum = sim_sum+abs(similar)\n #No similar users\n try:\n pred_rating=ave_ratings[user]+num_sum/sim_sum\n except ZeroDivisionError:\n pred_rating=ave_ratings[user]\n prediction.append(pred_rating)\n actual.append(row[2])\n writer.writerow(row+[pred_rating])\n actual_np=np.array(map(float, actual))\n prediction_np=np.array(prediction)\n rmse=np.sqrt(((prediction_np - actual_np)** 2).mean())\n mae=np.absolute(prediction_np - actual_np).mean()\n print \"RMSE\",round(rmse,4)\n print \"MAE\",round(mae,4)","def compute_idf(doc_info, freq_dict_all):\n idf_scores = []\n counter = 0\n\n for temp_dict in freq_dict_all:\n counter += 1\n\n for k in temp_dict['freq_dict'].keys():\n count = sum([k in tempdict['freq_dict'] for tempdict in freq_dict_all])\n temp = {\n 'doc_id': counter,\n 'IDF_Score': math.log(len(doc_info) / count),\n 'key': k\n }\n\n idf_scores.append(temp)\n\n return idf_scores","def learn(self, docs, labels, alpha=1.0):\n assert len(docs)==len(labels)\n labelCounts = {l: 0 for l in self.CLASSES}\n wordCounts = {l: Counter() for l in self.CLASSES}\n totalWordCounts = {l: 0 for l in self.CLASSES}\n # iterate over documents in order to record\n for i in range(0, len(labels)):\n # count(y) in labelCounts\n l = labels[i]\n labelCounts[labels[i]] +=1\n # count(y,w) for all words in totalWordCounts\n totalWordCounts[labels[i]] += len(docs[i])\n words = docs[i]\n # count(y,word) in wordCounts,\n \n for word in words:\n wordCounts[labels[i]][word] += 1\n # and to store the training vocabulary in self.trainVocab\n self.trainVocab.add(word)\n # compute and store prior distribution over classes\n # (unsmoothed) in self.priorProbs\n print(\"Label,priorProbs,Label Count\", file=sys.stderr)\n for l in self.priorProbs:\n self.priorProbs[l] = np.divide(labelCounts[l], len(labels))\n print(l +\",\"+str(self.priorProbs[l])+\",\"+str(labelCounts[l]), file=sys.stderr) #This was for part one\n for word in self.trainVocab: \n self.likelihoodProbs[l][word] = np.divide(wordCounts[l][word]+self.ALPHA, totalWordCounts[l]+self.ALPHA*(len(self.trainVocab)+1))\n self.likelihoodProbs[l]['**OOV**'] = np.divide(self.ALPHA, totalWordCounts[l]+self.ALPHA*(len(self.trainVocab)+1))\n # Sanity checks--do not modify\n assert len(self.priorProbs)==len(self.likelihoodProbs)==len(self.CLASSES)>2\n assert .999 < sum(self.priorProbs.values()) < 1.001\n for y in self.CLASSES:\n assert .999 < sum(self.likelihoodProbs[y].values()) < 1.001,sum(self.likelihoodProbs[y].values())\n assert 0 <= self.likelihoodProbs[y]['**OOV**'] < 1.0,self.likelihoodProbs[y]['**OOV**']","def compute_tf(doc_info, freq_dict_all):\n tf_scores = []\n\n for temp_dict in freq_dict_all:\n id = temp_dict['doc_id']\n\n for k in temp_dict['freq_dict']:\n temp = {\n 'doc_id': id,\n 'TF_Score': temp_dict['freq_dict'][k] / doc_info[id - 1]['doc_length'],\n 'key': k\n }\n\n tf_scores.append(temp)\n\n return tf_scores","def main():\n with read_std_files(OUT_FILE) as (qrys_file, docs_file, out_file):\n doc_count, token_count, word_map = map_docs(docs_file)\n avg_doc_len = token_count / float(doc_count)\n for doc_id, doc_tokens in tokenize(docs_file):\n doc_len = len(doc_tokens)\n doc_dct = dictify(doc_tokens)\n for query_id, query_tokens in tokenize(qrys_file):\n query_dct = dictify(query_tokens)\n similarity = tfidf(query_dct, doc_dct, doc_len, doc_count, avg_doc_len, word_map)\n log(out_file, query_id, doc_id, similarity)","def __init__(self, n, sents, corpus='', beta=None, addone=True):\n self.n = n\n self.beta = beta\n self.corpus = corpus\n self.beta_flag = True\n self.addone = addone\n self.smoothingtechnique = 'Back Off (Katz) with Discounting Smoothing'\n self.counts = counts = defaultdict(int)\n self.A_set = defaultdict(set)\n voc = ['</s>']\n for s in sents:\n voc += s\n self.voc = set(voc)\n if beta is None:\n self.beta_flag = False\n\n # if no beta given, we compute it\n if not self.beta_flag:\n total_sents = len(sents)\n aux = int(total_sents * 90 / 100)\n # 90 per cent por training\n train_sents = sents[:aux]\n # 10 per cent for perplexity (held out data)\n held_out_sents = sents[-total_sents+aux:]\n\n train_sents = list(map((lambda x: ['<s>']*(n-1) + x), train_sents))\n train_sents = list(map((lambda x: x + ['</s>']), train_sents))\n for sent in train_sents:\n for j in range(n+1):\n for i in range(n-j, len(sent) - j + 1):\n ngram = tuple(sent[i: i + j])\n counts[ngram] += 1\n # for efficiency, we save the A set as a dict of sets\n if j:\n self.A_set[ngram[:-1]].add(ngram[-1])\n for i in range(1, n):\n counts[('<s>',)*i] += len(train_sents)\n counts[('</s>',)] = len(train_sents)\n\n self.tocounts = counts\n # search for the beta that gives lower perplexity\n beta_candidates = [i*0.1 for i in range(1, 10)]\n # xs is a list with (beta, perplexity)\n xs = []\n self.sents = train_sents\n for aux_beta in beta_candidates:\n self.beta = aux_beta\n aux_perx = self.perplexity(held_out_sents)\n xs.append((aux_beta, aux_perx))\n xs.sort(key=lambda x: x[1])\n self.beta = xs[0][0]\n with open('old-stuff/backoff_'+str(n)+'_parameters_'+corpus, 'a') as f:\n f.write('Order: {}\\n'.format(self.n))\n f.write('Beta: {}\\n'.format(self.beta))\n f.write('AddOne: {}\\n'.format(self.addone))\n f.write('Perplexity observed: {}\\n'.format(xs[0][1]))\n f.write('-------------------------------\\n')\n f.close()\n else:\n sents = list(map((lambda x: x + ['</s>']), sents))\n sents = list(map((lambda x: ['<s>']*(n-1) + x), sents))\n\n for sent in sents:\n for j in range(n+1):\n for i in range(n-j, len(sent) - j + 1):\n ngram = tuple(sent[i: i + j])\n counts[ngram] += 1\n # for efficiency, we save the A set as a dict of sets\n if j:\n self.A_set[ngram[:-1]].add(ngram[-1])\n for i in range(1, n):\n counts[('<s>',)*i] += len(sents)\n counts[('</s>',)] = len(sents)","def classify(self, documents):\n predictions = []\n for doc in documents:\n\n score_sod = math.log(self.priorSOD)\n score_pop = math.log(self.priorPOP)\n for term in doc.tokens:\n if term in self.cond_prob_sod.keys():\n score_sod += math.log(self.cond_prob_sod[term])\n if term in self.cond_prob_pop.keys():\n score_pop += math.log(self.cond_prob_pop[term])\n if(score_pop >= score_sod): #defaults to ham if score = even \n predictions.append('pop')\n else:\n predictions.append('sod')\n \n return predictions \n pass","def meanTest(li_pre_final,li_post_final): \r\n li_add_A_pre = li_pre_final[0][0]\r\n li_add_B_pre = li_pre_final[0][1] \r\n li_add_C_pre = li_pre_final[0][2] \r\n li_add_D_pre = li_pre_final[0][3]\r\n\r\n li_upd_A_pre = li_pre_final[1][0] \r\n li_upd_B_pre = li_pre_final[1][1]\r\n li_upd_C_pre = li_pre_final[1][2]\r\n li_upd_D_pre = li_pre_final[1][3]\r\n\r\n li_rem_A_pre = li_pre_final[2][0] \r\n li_rem_B_pre = li_pre_final[2][1]\r\n li_rem_C_pre = li_pre_final[2][2]\r\n li_rem_D_pre = li_pre_final[2][3]\r\n\r\n li_add_A_post = li_post_final[0][0]\r\n li_add_B_post = li_post_final[0][1] \r\n li_add_C_post = li_post_final[0][2] \r\n li_add_D_post = li_post_final[0][3] \r\n\r\n li_upd_A_post = li_post_final[1][0] \r\n li_upd_B_post = li_post_final[1][1]\r\n li_upd_C_post = li_post_final[1][2]\r\n li_upd_D_post = li_post_final[1][3] \r\n\r\n li_rem_A_post = li_post_final[2][0] \r\n li_rem_B_post = li_post_final[2][1]\r\n li_rem_C_post = li_post_final[2][2]\r\n li_rem_D_post = li_post_final[2][3] \r\n\r\n li_p_values = [i for i in range(12)]\r\n \r\n U1, li_p_values[0] = mannwhitneyu(li_add_A_pre,li_add_A_post)\r\n U1, li_p_values[1] = mannwhitneyu(li_add_B_pre,li_add_B_post) \r\n U1, li_p_values[2] = mannwhitneyu(li_add_C_pre,li_add_C_post)\r\n U1, li_p_values[3] = mannwhitneyu(li_add_D_pre,li_add_D_post)\r\n\r\n U1, li_p_values[4] = mannwhitneyu(li_upd_A_pre,li_upd_A_post)\r\n U1, li_p_values[5] = mannwhitneyu(li_upd_B_pre,li_upd_B_post)\r\n U1, li_p_values[6] = mannwhitneyu(li_upd_C_pre,li_upd_C_post)\r\n U1, li_p_values[7] = mannwhitneyu(li_upd_D_pre,li_upd_D_post)\r\n\r\n U1, li_p_values[8] = mannwhitneyu(li_rem_A_pre,li_rem_A_post)\r\n U1, li_p_values[9] = mannwhitneyu(li_rem_B_pre,li_rem_B_post)\r\n U1, li_p_values[10] = mannwhitneyu(li_rem_C_pre,li_rem_C_post)\r\n U1, li_p_values[11] = mannwhitneyu(li_rem_D_pre,li_rem_D_post)\r\n\r\n for p_value in li_p_values:\r\n if p_value < 0.05:\r\n print(\"reject H0: statistically different\")\r\n else:\r\n print(\"accept H0: not statistically different\")","def create_estimated_score( X_new\n ,Y_pred\n ,base\n ,time_signature_input_file\n ,key_signature_input_file\n ,score_title\n ,composer\n ):\n\n # Debug info:\n #print(\"\\n\\n\")\n #print(\"Estimated output in notes (Notename, octave and quarterLength):\")\n #for r in Y_pred:\n #\n # # round to a 0.25 resolution because input used 1/4 notes\n # t=r[2]\n # BASE=0.25\n # v=t + (BASE - t) % BASE\n # print(nc.getNoteName(int(round(r[0])), enharmonic=False),int(round(r[1])), v)\n\n\n # *** Create the score with estimated notes ***\n # *********************************************\n # https://web.mit.edu/music21/doc/usersGuide/usersGuide_06_stream2.html\n estimatedScore = m.stream.Stream()\n\n # Set Meta Data in estimated score\n meta_data = m.metadata.Metadata()\n meta_data.title = score_title\n today = date.today()\n # YYYY/mm/dd\n d1 = today.strftime(\"%d/%m/%Y\")\n meta_data.date = str(d1)\n meta_data.composer = composer+\" (\"+str(d1)+\")\"\n\n upperStaffClef=m.clef.TrebleClef()\n lowerStaffClef=m.clef.BassClef()\n\n myPart = m.stream.Part()\n myPart_UpperStaff = m.stream.Part()\n # set Clef UpperStaff\n myPart_UpperStaff.append(upperStaffClef)\n\n # set TimeSignature UpperStaff\n myPart_UpperStaff.append(time_signature_input_file)\n \n # set keySignature UpperStaff\n myPart_UpperStaff.append(key_signature_input_file)\n \n myPart_LowerStaff = m.stream.Part()\n # set Clef UpperStaff\n myPart_LowerStaff.append(lowerStaffClef)\n\n # set TimeSignature LowerStaff\n myPart_LowerStaff.append(time_signature_input_file)\n \n # set keySignature LowerStaff\n myPart_LowerStaff.append(key_signature_input_file)\n\n # Do not use a Measure object\n # If you use a Time Signature object without a Measure object\n # when adding a notes, to a stream, measures are filled\n # automatically bases on note lengths\n myNote = m.note.Note()\n\n myPart_UpperStaff.partName=\"Piano Upper\"\n myPart_LowerStaff.partName=\"Piano Lower\"\n \n print(\"\\n\\n\")\n print(\"process measures\")\n itrNote = m.note.Note()\n if (X_new.shape[0] == Y_pred.shape[0]):\n # Normal Score\n cnt=0 # counter to sync X and Y (sync time and Notes)\n curMeasure=1\n noteCount=0\n for e in X_new:\n \n # Decoding Y_pred: get note properies \n # Do the encoding as inverse of the decoding (see above) \n note_properties = Y_pred[cnt]\n #print(\"!!! note_properties[\", cnt, \"]\", note_properties)\n curNoteName=nc.getNoteName(int(round(note_properties[0])), enharmonic=False)\n print(\"curNoteName\", curNoteName)\n curNoteOctave = int(round(note_properties[1]))\n #print(\"curNoteOctave\", curNoteOctave)\n \n # Process quarterDuration\n curNotequarterDuration = roundTo(note_properties[2], base)\n \n itrMeasure=int(e[0])\n itrOffset=e[1]\n print(\"ToDo itrMeasure=\", itrMeasure, \"itrOffset:\", itrOffset)\n \n myNote=m.note.Note( name=curNoteName\n ,quarterLength=curNotequarterDuration\n ,octave=curNoteOctave\n ,offset=itrOffset\n #,type=\"quarter\" # use quarterLength or type not both\n )\n \n # if you use a time signature object without a measure object then because of\n # the time signature measures are filled automatically by notes based on\n # its note duration\n myPart_UpperStaff.insert(cnt, myNote) \n noteCount=noteCount+1 \n cnt=cnt+1\n print(\"cnt:\", cnt) \n else:\n # Unbalanced Score\n print(\"Program error: Score not balanced\") \n \n estimatedScore.insert(0, meta_data)\n estimatedScore.insert(1, myPart_UpperStaff)\n \n \n # *** Add a dummy LowerStaff with a dummy rest to create a Grand piano staff ***\n # When more staves are used, all staves\n # must be filled, before append to the total stream,\n # otherwise you get a corrupted stream when\n # empty staves are added to the total stream.\n dummyRest = m.note.Rest()\n dummyRest.duration.type='quarter'\n myPart_LowerStaff.insert(cnt, dummyRest)\n # If you do not want a grand staff comment statement below \n # ToDo problem with creating lowerStaff !!!!!!!!!!!!!!!!!!!!!!\n ##estimatedScore.insert(2, myPart_LowerStaff)\n \n return(estimatedScore) # create_estimated_score","def preprocessing():\n english_dictionary = nltk.corpus.brown.words()\n slang_vocab = pickle.load(open('vocab_pattern_match_with_freq.pkl', 'rb'))\n\n normalize_english_dict = len(english_dictionary)\n normalize_slang_vocab = 0\n for w, n in slang_vocab.items():\n normalize_slang_vocab += n\n\n words = {}\n for w, n in Counter(english_dictionary).items():\n words[w] = n/normalize_english_dict\n \n for w, n in slang_vocab.items():\n if w not in words:\n words[w] = 0.\n words[w] += n/normalize_slang_vocab\n\n words_by_freq = [w for w,_ in sorted(words.items(), key=lambda x: x[1], reverse=True)]\n\n # Build a cost dictionary, assuming Zipf's law and cost = -math.log(probability).\n #words = open(\"words_by_frequency.txt\").read().split()\n wordcost = dict((k, log((i+1)*log(len(words_by_freq)))) for i,k in enumerate(words_by_freq))\n maxword = max(len(x) for x in words_by_freq)\n return wordcost,maxword","def train(self, corpus): \n for sentence in corpus.corpus: # iterate over sentences in the corpus\n for token in sentence: # iterate over datums in the sentence\n self.unigrams[token] += 1\n self.total += 1\n V = len(self.unigrams) # vocabulary size \n for ug,count in self.unigrams.iteritems():\n \tself.f1[ug] = math.log10(count+1) - math.log10(self.total + V)","def test(self, filename: str, info_extractor: Optional[InfoExtractor]):\r\n if self.model is None:\r\n raise RatingModel.RatingModelError(\"model is not loaded or trained yet\")\r\n doc, _ = loadDocumentIntoSpacy(filename, self.parser, self.nlp)\r\n\r\n print(\"Getting rating...\")\r\n if self._type == \"fixed\":\r\n print(\"working on fixed model\")\r\n if self.keywords is None:\r\n raise RatingModel.RatingModelError(\"Keywords not found\")\r\n\r\n seen_chunks_words, all_tokens_chunks = getAllTokensAndChunks(doc)\r\n\r\n # scoring\r\n temp_out = self.__trainKMWM(list(seen_chunks_words), list(all_tokens_chunks), self.keywords)\r\n if temp_out is None:\r\n raise RatingModel.RatingModelError(\r\n \"Either parser cannot detect text or too few words in resume for analysis. Most usually the former.\"\r\n )\r\n km_scores, wm_scores = temp_out\r\n # average of km/wm scores for all keywords\r\n km_score = np.mean(km_scores)\r\n wm_score = np.mean(wm_scores)\r\n final_score = km_score * wm_score\r\n elif self._type == \"lda\":\r\n if self.lda is None or self.dictionary is None or self.top_k_words is None:\r\n raise RatingModel.RatingModelError(\"No LDA found\")\r\n\r\n seen_chunks_words, all_tokens_chunks = getAllTokensAndChunks(doc)\r\n seen_chunks_words, all_tokens_chunks = (\r\n list(seen_chunks_words),\r\n list(all_tokens_chunks),\r\n )\r\n\r\n # scoring\r\n new_seen_chunks_words = self.__keep_top_k_words(seen_chunks_words)\r\n bow = self.dictionary.doc2bow(new_seen_chunks_words)\r\n doc_distribution = np.array(\r\n [tup[1] for tup in self.lda.get_document_topics(bow=bow)]\r\n )\r\n # get keywords and weights\r\n keywords = []\r\n all_pair_scores = []\r\n all_topic_scores = []\r\n all_diff_scores = []\r\n # take top 5 topics\r\n for j in doc_distribution.argsort()[-5:][::-1]:\r\n topic_prob = doc_distribution[j]\r\n # take top 5 words for each topic\r\n st = self.lda.show_topic(topicid=j, topn=5)\r\n sum_st = np.sum(list(map(lambda x: x[1], st)))\r\n pair_scores = []\r\n for pair in st:\r\n keywords.append(pair[0])\r\n pair_scores.append(pair[1])\r\n all_pair_scores.append(np.array(pair_scores))\r\n all_topic_scores.append(np.array(topic_prob))\r\n\r\n all_pair_scores = np.array(all_pair_scores)\r\n norm_all_pair_scores = all_pair_scores.T / np.sum(all_pair_scores, axis=1)\r\n norm_all_topic_scores = all_topic_scores / np.sum(all_topic_scores)\r\n all_diff_scores = (norm_all_pair_scores * norm_all_topic_scores).flatten()\r\n weights = pd.Series(all_diff_scores, index=keywords)\r\n weights.sort_values(ascending=False, inplace=True)\r\n\r\n temp_out = self.__trainKMWM(seen_chunks_words, all_tokens_chunks, keywords)\r\n if temp_out is None:\r\n print(\r\n \"Either parser cannot detect text or too few words in resume for analysis. Most usually the former. Skip document.\"\r\n )\r\n km_scores, wm_scores = temp_out\r\n\r\n # average of km/wm scores for all keywords\r\n km_score = np.dot(weights.values, km_scores)\r\n wm_score = np.dot(weights.values, wm_scores)\r\n\r\n final_score = km_score * wm_score\r\n\r\n # max_score = self.model[\"score\"].iloc[0] - np.std(self.model[\"score\"])\r\n # min_score = self.model[\"score\"].iloc[-1]\r\n mean = np.mean(self.model[\"score\"])\r\n sd = np.std(self.model[\"score\"])\r\n\r\n rating = min(10, max(0, round(5 + (final_score-mean)/sd, 2)))\r\n if info_extractor is not None:\r\n print(\"-\" * 20)\r\n\r\n # info_extractor.extractFromFile(filename)\r\n output= info_extractor.extractFromFile(filename)\r\n\r\n print(\"output:----\",output)\r\n print(\"-\" * 20)\r\n print(\"Rating: %.1f\" % rating)\r\n # if info_extractor is not None:\r\n # print(\"info extractor is not working\")\r\n # env = os.environ\r\n # subprocess.call([sys.executable, filename], env=env)\r\n return output","def neural_rm3_prf(neu, ix, word_embs, doc_embs, corpus_name, corpus, doc_ids, queries, qfield, rank_path, run_name, es=None, fb_docs=10, fb_terms=10, qweight=0.5):\n\n\t# project queries within doc latent space\n\tproj_queries = list()\n\tquery_ids = list()\n\tfor qid, qbody in queries.items():\n\t\tproj_query = neu.query2emb(qbody[qfield], word_embs)\n\t\tif proj_query is not None: # keep query\n\t\t\tproj_queries.append(proj_query)\n\t\t\tquery_ids.append(qid)\n\n\t# compute the cosine similarity between docs and queries\n\tscores = cosine_similarity(doc_embs, proj_queries)\n\n\tif es is not None: # open ranking \n\t\tout = open(rank_path + '/' + run_name + '.txt', 'w')\n\n\t# loop over queries and perform RM3 expansion\n\texp_queries = list()\n\t# loop over the cosine similarity scores\n\tfor qix in tqdm(range(scores.shape[1])):\n\t\t# get the index of the top fb_docs documents from result list\n\t\tfirst_qres = np.argsort(-scores[:, qix])[:fb_docs]\n\t\t# store ids and scores of the retrieved feedback documents\n\t\tids_and_scores = dict()\n\t\tfor res in first_qres:\n\t\t\tif es is None: # perform RM3 using neural model after pseudo-relevance feedback\n\t\t\t\tids_and_scores[res] = scores[res][qix]\n\t\t\telse: # perform RM3 using lexical model after pseudo-relevance feedback\n\t\t\t\tids_and_scores[doc_ids[res]] = scores[res][qix]\n\n\t\tif es is None: # perform RM3 using neural model after pseudo-relevance feedback\n\t\t\t# get query feature vector and normalize to L1 norm\n\t\t\tqfv = create_query_vector(ix, word_embs.wv.vocab, ix.doc2bow(neu.tokenize_query(queries[query_ids[qix]][qfield])))\n\t\t\t# get relevance model feature vector (i.e., RM1)\n\t\t\trm1 = neural_relevance_model(ix, word_embs.wv.vocab, ids_and_scores, corpus, fb_terms)\n\t\t\t# interpolate qfv and rm1 (i.e., RM3)\n\t\t\trm3 = interpolate(qfv, rm1, qweight)\n\n\t\t\t# extract terms and scores from rm3\n\t\t\trm3_terms = list(rm3.keys())\n\t\t\trm3_scores = np.array(list(rm3.values()))\n\t\t\t# project expanded query into document latent space\n\t\t\tproj_query = np.sum(np.multiply(word_embs.wv[rm3_terms], rm3_scores[:, np.newaxis]), axis=0)\n\t\t\t# append projected query to exp_queries\n\t\t\texp_queries.append(proj_query)\n\t\telse: # perform RM3 using lexical model after pseudo-relevance feedback\n\t\t\t# get query feature vector and normalize to L1 norm\n\t\t\tqfv = es.scale_to_L1_norm(Counter(es.analyze_query(queries[query_ids[qix]][qfield])))\n\t\t\t# get relevance model feature vector (i.e., RM1)\n\t\t\trm1 = es.estimate_relevance_model(ids_and_scores, fb_terms)\n\t\t\t# interpolate qfv and rm1 (i.e., RM3)\n\t\t\trm3 = es.interpolate(qfv, rm1, qweight)\n\n\t\t\t# build boosted term queries\n\t\t\tterm_queries = [{'term': {es.field: {'value': term, 'boost': score}}} for term, score in rm3.items()]\n\t\t\t# combine term queries w/ SHOULD operator\n\t\t\texpanded_query = {'query': { 'bool': {'should': term_queries}}}\n\n\t\t\t# perform lexical search after pseudo-relevance feedback\n\t\t\tprf_qres = es.es.search(index=es.index, size=1000, body=expanded_query)\n\t\t\tfor idx, rank in enumerate(prf_qres['hits']['hits']):\n\t\t\t\tout.write('%s %s %s %d %f %s\\n' % (query_ids[qix], 'Q0', rank['_id'], idx, rank['_score'], run_name))\n\n\tif es is None: # perform neural search after pseudo-relevance feedback\n\t\tneu.semantic_search(doc_ids, doc_embs, query_ids, exp_queries, rank_path, run_name)\n\telse: # close ranking\n\t\tout.close()\n\treturn True","def normalise(self):\n total = 0\n for feat_set in self.values():\n for value in feat_set.values():\n total += value\n norm = 1/total\n for feat_set in self.values():\n for feat in feat_set:\n feat_set[feat] *= norm\n return self"],"string":"[\n \"def normalize_sen_scores_corpus_smoothing():\\n param_len = 10*11# for alpha*beta =110 \\n k_len = 1\\n# sen_res_files_path = linux_base_path+r\\\"/claimLM_senLM_sen_ret_output_corpus_smoothing_corpus_beta_\\\"+str(corpus_beta)\\n sen_res_files_path = base_path+r\\\"\\\\claimLM_senLM_sen_ret_output_corpus_smoothing_corpus_beta_\\\"+str(corpus_beta)+\\\"\\\\\\\\\\\"\\n norm_sen_res_path = base_path+r\\\"\\\\sen_norm_scores_dicts_corpus_smoothing_corpus_beta_\\\"+str(corpus_beta)+\\\"\\\\\\\\\\\"\\n \\n claims_file_counters_dict = {} #for each claim numas key, have the val a counter - if not alpha_beta_len*k_lem per claim -> problem!\\n claim_list = [4]#,41,42,45,46,47,50,51,53,54,55,57,58,59,60,61,62,66,69,70,79,80]\\n top_k_docs_vals = [50]# ,100,500] \\n for claim_num in claim_list:\\n for k_val in top_k_docs_vals:\\n for alpha in range(4,5,1):\\n for beta in range(8,9,1):\\n (alpha_f,beta_f) = turn_to_float([alpha,beta]) \\n filename = \\\"sen_res_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_top_k_docs_\\\"+str(k_val)+\\\"_clm_\\\"+str(claim_num)\\n sen_file = open(sen_res_files_path+filename,'r')\\n print \\\"in filename: \\\"+filename\\n sen_score_dict = {} # key is docno, val is the exp(score)\\n curr_dict_name = \\\"sen_scores_norm_clm_\\\"+str(claim_num)+\\\"_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_top_k_docs_\\\"+str(k_val)+\\\"_dict\\\"\\n sen = sen_file.read().strip() # score\\n scores_sum = 0.0\\n if claim_num in claims_file_counters_dict.keys():\\n claims_file_counters_dict[claim_num] += 1 \\n else:\\n claims_file_counters_dict[claim_num] = 1\\n for i, line in enumerate(sen.split('\\\\n')):\\n if i%2==0: # a data line\\n try:\\n data = line.split(' ')\\n query_Id = data[0]\\n doc_id = data[2]\\n if (data[4])!= \\\"nan\\\":\\n norm_score = math.exp(float(data[4]))\\n scores_sum += norm_score\\n if os.path.exists(curr_dict_name) == True:\\n sen_score_dict = read_pickle(curr_dict_name)\\n if doc_id in sen_score_dict:\\n raise Exception(\\\"DOC ID %s already in dict\\\" % doc_id)\\n except Exception as err:\\n sys.stderr.write('problem in filename:'+ filename +' line: '+line) \\n print err.args \\n print err\\n else:\\n if len(line) >0: \\n sen_score_dict[query_Id,line] = (doc_id,norm_score)\\n # divide by scores_sum\\n for ((query_Id,sen),(doc_id,score)) in sen_score_dict.items():\\n new_score = float(float(score)/float(scores_sum))\\n sen_score_dict[query_Id,sen] = (doc_id,new_score)\\n #rank according to score\\n sen_score_dict_sorted = collections.OrderedDict(sorted(sen_score_dict.items(), key= lambda x: (-int(x[0][0]),x[1][1]),reverse=True))\\n # save_pickle(base_path+r\\\"sen_norm_scores_dicts\\\"+\\\"\\\\\\\\\\\"+curr_dict_name+\\\"_sorted\\\",doc_score_dict_sorted)\\n save_pickle(norm_sen_res_path+curr_dict_name+\\\"_sorted\\\",sen_score_dict_sorted) \\n for (claim_num,counter) in claims_file_counters_dict.items():\\n if counter!=(param_len*k_len):\\n print str(claim_num)+\\\" not \\\"+str(param_len*k_len)+\\\" files , but \\\" +str(counter) +\\\" files\\\"\\n print \\\"finished\\\"\",\n \"def normalize_sen_scores_adj_sen():\\n param_len = 10*11*55# alpha*beta*delta1*delta2, else just for alpha*beta =110 \\n k_len = 1\\n# sen_res_files_path = linux_base_path+r\\\"/claimLM_senLM_adjacent_sen_ret_output_corpus_beta_\\\"+str(corpus_beta)+\\\"/\\\"\\n #norm_sen_res_path = linux_base_path+r\\\"/sen_norm_scores_dicts_adjacent_sen_corpus_beta_+str(corpus_beta)+\\\"/\\\"\\n sen_res_files_path = base_path + r\\\"\\\\claimLM_senLM_adj_sen_ret_output_corpus_beta_\\\"+str(corpus_beta)+\\\"\\\\\\\\\\\" \\n norm_sen_res_path = base_path + r\\\"\\\\sen_norm_scores_dicts_adjacent_sen_corpus_beta_\\\"+str(corpus_beta)+\\\"\\\\\\\\\\\"\\n# sen_res_files_path = linux_base_path+r\\\"/claimLM_senLM_doc_ret_output\\\"\\n claims_file_counters_dict = {} #for each claim numas key, have the val a counter - if not alpha_beta_len*k_lem per claim -> problem!\\n claim_list = [4]#,41,42,45,46,47,50,51,53,54,55,57,58,59,60,61,62,66,69,70,79,80]\\n #claim_list = [36,37,39]\\n #claim_list = [40,41,42,45,46,47]\\n #claim_list = [50,51,53,54]\\n #claim_list = [55,57,58,59]\\n #claim_list = [60,61,62,66]\\n #claim_list = [70,79,80]\\n top_k_docs_vals = [50]# ,100,500] \\n for claim_num in claim_list:\\n for k_val in top_k_docs_vals:\\n for alpha in range(4,5,1):\\n for beta in range(8,9,1):\\n for delta_1 in range(9,10,1):\\n for delta_2 in range(0,1,1):\\n if not delta_1+delta_2 >9:\\n (alpha_f,beta_f,delta_1_f,delta_2_f) = turn_to_float([alpha,beta,delta_1,delta_2]) \\n filename = \\\"sen_res_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_delta1_\\\"+str(delta_1_f)+\\\"_delta2_\\\"+str(delta_2_f)+\\\"_top_k_docs_\\\"+str(k_val)+\\\"_clm_\\\"+str(claim_num)\\n sen_file = open(sen_res_files_path+filename,'r')\\n print \\\"in filename: \\\"+filename\\n sen_score_dict = {} # key is docno, val is the exp(score)\\n curr_dict_name = \\\"sen_scores_norm_clm_\\\"+str(claim_num)+\\\"_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_delta1_\\\"+str(delta_1_f)+\\\"_delta2_\\\"+str(delta_2_f)+\\\"_top_k_docs_\\\"+str(k_val)+\\\"_dict\\\"\\n sen = sen_file.read().strip() # score\\n scores_sum = 0.0\\n if claim_num in claims_file_counters_dict.keys():\\n claims_file_counters_dict[claim_num] += 1 \\n else:\\n claims_file_counters_dict[claim_num] = 1\\n for i, line in enumerate(sen.split('\\\\n')):\\n if i%2==0: # a data line\\n try:\\n data = line.split(' ')\\n query_Id = data[0]\\n doc_id = data[2]\\n if (data[4])!= \\\"nan\\\":\\n norm_score = math.exp(float(data[4]))\\n scores_sum += norm_score\\n if os.path.exists(curr_dict_name) == True:\\n sen_score_dict = read_pickle(curr_dict_name)\\n if doc_id in sen_score_dict:\\n raise Exception(\\\"DOC ID %s already in dict\\\" % doc_id)\\n except Exception as err:\\n sys.stderr.write('problem in filename:'+ filename +' line: '+line) \\n print err.args \\n print err\\n else:\\n if len(line) >0: \\n sen_score_dict[query_Id,line] = (doc_id,norm_score)\\n # divide by scores_sum\\n for ((query_Id,sen),(doc_id,score)) in sen_score_dict.items():\\n new_score = float(float(score)/float(scores_sum))\\n sen_score_dict[query_Id,sen] = (doc_id,new_score)\\n #rank according to score\\n sen_score_dict_sorted = collections.OrderedDict(sorted(sen_score_dict.items(), key= lambda x: (-int(x[0][0]),x[1][1]),reverse=True))\\n # save_pickle(base_path+r\\\"sen_norm_scores_dicts\\\"+\\\"\\\\\\\\\\\"+curr_dict_name+\\\"_sorted\\\",doc_score_dict_sorted)\\n save_pickle(norm_sen_res_path+curr_dict_name+\\\"_sorted\\\",sen_score_dict_sorted) \\n for (claim_num,counter) in claims_file_counters_dict.items():\\n if counter!=(param_len*k_len):\\n print str(claim_num)+\\\" not \\\"+str(param_len*k_len)+\\\" files , but \\\" +str(counter) +\\\" files\\\"\\n print \\\"finished\\\"\",\n \"def writeNormScore(self,fin,fout):\\n\\n for line in fin:\\n [sv, en, score] = re.split(r'\\\\t|,',line)\\n self.count[sv][en] += float(score)\\n self.en_sum[en] += float(score)\\n self.sv_sum[sv] += float(score)\\n\\n for sv, ens in self.count.iteritems():\\n for en in ens.keys():\\n fout.write(sv + \\\",\\\" + en + \\\"\\\\t\\\" + str(self.count[sv][en] / self.sv_sum[sv] * self.en_sum[en]) + \\\"\\\\n\\\")\",\n \"def merge_all_claims_norm_dicts_for_docs(): \\n# docs_norm_scores_dicts_path = base_path+\\\"\\\\\\\\docs_norm_scores_dicts\\\"\\n docs_norm_scores_dicts_path = linux_base_path+\\\"/docs_norm_scores_dicts\\\"\\n# all_claims_norms_scores_merged_dict = base_path +\\\"\\\\\\\\all_claims_norms_scores_merged_dict\\\"\\n all_claims_norms_scores_merged_dict = linux_base_path +\\\"/all_claims_norms_scores_merged_dict\\\"\\n for alpha in range(0,11,1):\\n for beta in range(0,10,1):\\n docs_scores_all_claims = {}\\n for filename in os.listdir(docs_norm_scores_dicts_path):\\n (alpha_f,beta_f)=turn_to_float([alpha,beta])\\n if \\\"_alpha_\\\"+str(alpha_f)+\\\"_\\\" in filename and \\\"_beta_\\\"+str(beta_f)+\\\"_\\\" in filename:\\n curr_dict = read_pickle(docs_norm_scores_dicts_path+\\\"/\\\"+filename)\\n docs_scores_all_claims = dict(docs_scores_all_claims.items() + curr_dict.items()) #merge dicts\\n save_pickle(all_claims_norms_scores_merged_dict+\\\"/docs_norm_scores_all_claims_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f),docs_scores_all_claims)\",\n \"def test_score_across_multiple_documents(self):\\n\\n \\\"\\\"\\\"\\n Create the test data.\\n \\\"\\\"\\\"\\n tokenizer = Tokenizer(stem=False)\\n posts = [\\n \\\"Erdogan with threats to attack regime forces 'everywhere' in Syria\\\",\\n \\\"Syria reacts to Erdogan's threats: Damascus says Erdogan 'disconnected from reality' after threats\\\",\\n ]\\n\\n corpus = [ Document(post, tokenizer.tokenize(post)) for post in posts ]\\n\\n extractor = TokenExtractor(tokenizer=tokenizer)\\n scorer = TFIDFScorer({ 'erdogan': 1, 'threats': 2 }, 10)\\n candidates = extractor.extract(corpus)\\n scores = scorer.score(candidates, normalize_scores=False)\\n self.assertEqual(3 * math.log(10 / 1, 10), scores.get('erdogan'))\\n self.assertEqual(3 * math.log(10 / 2, 10), scores.get('threats'))\",\n \"def pseudo_relevance_feedback(bm25_doc_scores, q_dict, inv_index, new_query_filename):\\n\\n # Creating a copy of the dictionary passed in as argument.\\n # Creating a shallow copy\\n pseudo_scores = bm25_doc_scores.copy()\\n\\n # The parameters used in the Pseudo Relevance formula\\n beta = 0.75\\n gamma = 0.15\\n alpha = 1\\n\\n # k -> Number of documents to consider for the feedback loop\\n k = 10\\n\\n # Number of terms to be appended to the original query after\\n # the query has ben enriched\\n enrichment_terms = 30\\n\\n # NOTE: Idea behind Pseudo-relevance feedback:\\n # Moves the new query being generated towards the centroid of the relevant\\n # documents and away from the centroid of the non-relevant_docs\\n\\n # query_dict is of the form\\n # {q_id: < Parsed Query >, q_id_2: < Parsed Query 2 >}\\n\\n # Create a file handler to the file where we will be writing all the\\n # enriched queries\\n fp = open(new_query_filename, \\\"w+\\\")\\n\\n my_query_dict = {}\\n count = 1\\n\\n for q in q_dict:\\n # print(\\\"Considering query \\\", q)\\n sorted_scores = pseudo_scores[q]\\n\\n # Create a query vector\\n # is a dictionary of the form\\n query_vector = generate_query_vector(q, q_dict, inv_index)\\n\\n # Create a relevance vector\\n relevance_vector = generate_rel_non_rel_vector(inv_index,\\n sorted_scores, 0, k)\\n\\n corpus_len = len(sorted_scores)\\n\\n non_relevance_vector = generate_rel_non_rel_vector(inv_index,\\n sorted_scores,\\n k+1, corpus_len)\\n\\n # Get the magnitude of both the vectors\\n rel_vec_mag = get_magnitude_vector(relevance_vector)\\n non_rel_vec_mag = get_magnitude_vector(non_relevance_vector)\\n\\n # GENERATE THE NEW QUERY USING THE PSEUDO RELEVANCE FORMULA\\n new_query = {}\\n for item in inv_index:\\n new_query[item] = alpha * query_vector[item] + (beta / rel_vec_mag) * relevance_vector[item] - (gamma / non_rel_vec_mag) * non_relevance_vector[item]\\n\\n sorted_expansion_query_terms = [(k, new_query[k]) for k in\\n sorted(new_query,\\n key=new_query.get,\\n reverse=True)]\\n\\n # OK, we have now gotten the expanded query\\n # There might be some terms that are not in the original query\\n # We have to append such terms to the original query\\n\\n # Create a copy of the original query\\n original_query = q_dict[q]\\n new_query = original_query\\n for i in range(enrichment_terms):\\n term, term_freq = sorted_expansion_query_terms[i]\\n if term not in original_query:\\n new_query += (\\\" \\\" + term)\\n\\n # Write this query term to a new text_file\\n my_query_dict[count] = new_query\\n fp.write(new_query + \\\"\\\\n\\\")\\n\\n count += 1\\n\\n # Now we have gotten new queries (expanded ato a maximum of 30 terms)\\n # This is query enrichment\\n # Now we have to calculate BM25 scores and rank documents according\\n # to these queries\\n\\n return redundant_pseudo_bm25(url_text_dict, inv_index, relevance_text_file, my_query_dict, rel_info_enabled=True)\",\n \"def redundant_pseudo_bm25(collection_data, indexed_data, relevant_docs_fname, query_dict, rel_info_enabled=False):\\n\\n # Create another dictionary that will hold the doc_id and their BM25 score\\n # Note: We will maintain the bm_25scores dictionary in the form\\n # {query_1 : {doc_id_1 : score_for_doc_id_1, doc_id_2: score_for_doc_id_2}\\n # ...query_64 : {}}\\n new_bm25_scores_dict = {}\\n\\n # Populate the dictionary with empty inner dictionaries\\n for i in range(1, 65):\\n new_bm25_scores_dict[i] = {}\\n\\n # Note: Indexed data is of the form\\n # { term : { doc_id : count_in_doc } }\\n\\n # Now the json data is present in the dictionaries\\n # Note: There is information given about relevance in file cacm.rel.txt\\n # file. We need to get the relevance information\\n # rel_docs_dict i sof the form:\\n # {query_numb: [ < list of all docs relevant to query 1]}\\n rel_docs_dict = get_relevance_information(relevant_docs_fname)\\n\\n # query_dict is of the form\\n # {q_id: < Parsed Query >, q_id_2: < Parsed Query 2 >}\\n\\n # N -> Total number of collections in the data\\n N = len(collection_data)\\n\\n # The constants\\n k1 = 1.2\\n b = 0.75\\n k2 = 100\\n\\n avg_doc_length = get_avg_doc_length(collection_data)\\n\\n for q in query_dict:\\n # R -> Total number of relevant documents for this query\\n\\n if rel_info_enabled:\\n # Accomodation prior( relevance information )\\n # print(\\\"Query we are considering is \\\", q)\\n R = len(rel_docs_dict[q])\\n else:\\n R = 0\\n\\n # Store the relevant documents in a list\\n rel_docs_list = rel_docs_dict[q]\\n\\n # TODO: Calculate r_i -> Refer to the Piazza post( Required for Phase3)\\n\\n for term in query_dict[q].split():\\n # If this query term is present in our index\\n if term in indexed_data:\\n\\n # n_i -> The number of documents containing this query term\\n # for each document containing this query term\\n n_i = len(indexed_data[term])\\n\\n # q_i -> frequency of this term in the entire query\\n q_fi = query_dict[q].split().count(term)\\n\\n # r_i -> number of relevant docs containing term i\\n r_i = 0\\n if rel_info_enabled:\\n r_i = calculate_r_i(rel_docs_list, indexed_data, term)\\n\\n for doc in indexed_data[term]:\\n # f_i -> frequency of this term in the document\\n # NOTE: In this way we are avoiding any\\n # document having f_i as 0\\n f_i = indexed_data[term][doc]\\n K = k1 * ((1 - b) + b * len(\\n collection_data[doc].split()) / avg_doc_length)\\n z = ((k1 + 1) * f_i / (K + f_i)) * ((k2 + 1) * q_fi) / (\\n k2 + q_fi)\\n numerator = ((r_i + 0.5) / (R - r_i + 0.5)) * z\\n denominator = (\\n (n_i - r_i + 0.5) / (N - n_i - R + r_i + 0.5))\\n temp_score = math.log(numerator / denominator)\\n\\n if doc in new_bm25_scores_dict[q]:\\n new_bm25_scores_dict[q][doc] += temp_score\\n else:\\n new_bm25_scores_dict[q][doc] = temp_score\\n\\n sort_dict_according_to_scores(new_bm25_scores_dict)\\n return new_bm25_scores_dict\",\n \"def calc_doc_ret_MAP():\\n \\n# docs_norm_scores_dicts_path = linux_base_path+\\\"/docs_norm_scores_dicts\\\"\\n claim_rel_docno_dict = read_pickle(\\\"claim_rel_docno_dict\\\") #key is clm, value is a set of the relevant docno\\n# nDCG_MAP_res = base_path +\\\"\\\\\\\\nDCG_MAP_res\\\\\\\\\\\"\\n# docs_norms_path = base_path+\\\"\\\\\\\\docs_norm_scores_dicts\\\\\\\\\\\"\\n docs_norms_path = linux_base_path+\\\"/docs_norm_scores_dicts/\\\"\\n nDCG_MAP_res = linux_base_path +\\\"/nDCG_MAP_res/\\\"\\n \\n AP_cut_off = 1000\\n k_val = 100\\n p = 10\\n log = open(\\\"calc_doc_avg_nDCG_MAP_log_k_top_docs_\\\"+str(k_val)+\\\"_at_\\\"+str(p),\\\"wb\\\")\\n res_file = open(nDCG_MAP_res+\\\"doc_ret_nDCG_MAP_res_k_top_docs_\\\"+str(k_val)+\\\"_at_\\\"+str(p),\\\"wb\\\")\\n# each_params_AVGnDCG_MAP_dict = {} #key is alpha,beta,k_docs,lambda and val is the avg nDCG and MAP across all claims together\\n each_params_MAP_dict = {}\\n# NDCG_AP_all_claims_all_param_values = {}\\n AP_all_claims_all_param_values = {}\\n best_avg_nDCG = 0\\n best_MAP = 0 #across all claims in a given configuration, find the max measures\\n \\n# docs_norms_path = base_path+\\\"\\\\\\\\docs_norm_scores_dicts\\\\\\\\\\\"\\n claims_dict = read_pickle(\\\"claim_dict\\\")\\n #count the number of sentences that were retrived that are in the true data....sum for each claim, then average.\\n \\n \\n for alpha in range(0,11,1): #change just for test!\\n for beta in range(0,10,1):\\n (alpha_f,beta_f) = turn_to_float([alpha,beta])\\n NDCG_all_claims= {} #key is a claim, value is the nDCG\\n AP_all_claims= {} \\n AP_cut_off = 1000\\n curr_filename = docs_norms_path+\\\"clm_key_ranked_list_of_docs_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)\\n clm_key_ranked_list_of_docs_baseline = read_pickle(curr_filename) #key is qID and docid\\n #need to turn it to a list of docs\\n for clm in claim_list:\\n try:\\n# nDCG_score = utils_linux.calc_doc_emp_NDCG(curr_source,str(clm),clm_key_ranked_list_of_docs_baseline[clm],claim_rel_docno_dict[claims_dict[str(clm)]],p)\\n# NDCG_all_claims[clm] = nDCG_score\\n AP_score = utils_linux.calc_doc_AP_relevance(AP_cut_off,curr_source,clm,clm_key_ranked_list_of_docs_baseline[clm],claim_rel_docno_dict[claims_dict[str(clm)]])\\n AP_all_claims[clm] = AP_score\\n AP_all_claims_all_param_values[clm,alpha_f,beta_f,k_val] = AP_score\\n except Exception as err: \\n log.write('problem in calculations: in source: '+ curr_source+' in clm '+ claims_dict[str(clm)]+\\\" alpha:\\\"+str(alpha_f)+ \\\"beta:\\\"+str(beta_f)+\\\" \\\\n\\\" ) \\n for arg in err.args:\\n log.write(arg+\\\" \\\") \\n log.write(\\\"\\\\n\\\") \\n# average_NDCG = float(float(sum(NDCG_all_claims.values()))/float(len(NDCG_all_claims))) #across all claims...\\n# if average_NDCG > best_avg_nDCG:\\n# best_avg_nDCG = average_NDCG\\n# best_avg_nDCG_configuration = (alpha_f,beta_f,k_val)\\n MAP = float(float(sum(AP_all_claims.values()))/float(len(AP_all_claims)))\\n if MAP > best_MAP:\\n best_MAP = MAP\\n best_MAP_configuration = (alpha_f,beta_f,k_val)\\n each_params_MAP_dict[alpha_f,beta_f,k_val] = MAP\\n utils_linux.save_pickle(nDCG_MAP_res+\\\"doc_ret_NDCG_all_claims_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_top_k_docs_\\\"+str(k_val)+\\\"_at_\\\"+str(p),NDCG_all_claims)\\n utils_linux.save_pickle(nDCG_MAP_res+\\\"doc_ret_AP_all_claims_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_top_k_docs_\\\"+str(k_val),AP_all_claims)\\n# res_file.write(\\\"alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_top_k_docs_\\\"+str(k_val)+\\\"|\\\"+\\\"AnDCG_\\\"+str(average_NDCG)+\\\"_MAP_\\\"+str(MAP)+\\\"\\\\n\\\")\\n res_file.write(\\\"alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_top_k_docs_\\\"+str(k_val)+\\\"|_MAP_\\\"+str(MAP)+\\\"\\\\n\\\")\\n save_pickle(nDCG_MAP_res+\\\"doc_ret_NDCG_AP_all_claims_all_param_values_k_top_docs_\\\"+str(k_val)+\\\"_at_\\\"+str(p),AP_all_claims_all_param_values)\\n save_pickle(nDCG_MAP_res+\\\"doc_ret_each_params_AVGnDCG_MAP_dict_k_top_docs_\\\"+str(k_val)+\\\"_at_\\\"+str(p),each_params_MAP_dict)\\n# best_row = \\\"best_avg_nDCG|\\\"+str(best_avg_nDCG)+\\\"|best_avg_nDCG_configuration|\\\"+str(best_avg_nDCG_configuration[0])+\\\",\\\"+str(best_avg_nDCG_configuration[1])+\\\",\\\"+str(best_avg_nDCG_configuration[3])+\\\",\\\"+str(best_avg_nDCG_configuration[2])+\\\"|\\\"\\n best_row = \\\"best_MAP|\\\" +str(best_MAP)+\\\"|best_MAP_configuration|\\\"+str(best_MAP_configuration[0])+\\\",\\\"+str(best_MAP_configuration[1])+\\\",\\\"+str(best_MAP_configuration[2])\\n res_file.write(best_row)\\n res_file.close()\\n log.close()\",\n \"def normalise_es(score, distribution):\\n\\n # find average of all permutations from +ve distribution:\\n exp_es_plus = numpy.mean([x for x in distribution if x >= 0])\\n # find average of all permutations from -ve distribution:\\n exp_es_minus = numpy.mean([x for x in distribution if x < 0])\\n\\n # normalise enrichment score:\\n if score >= 0:\\n nes = 1.0 * score / exp_es_plus\\n else:\\n nes = -1.0 * score / exp_es_minus\\n\\n # normalise permutation distribution:\\n for res, posn in zip(distribution[:],range(len(distribution))):\\n if res >= 0:\\n distribution[posn] = res / exp_es_plus\\n else:\\n distribution[posn] = -1.0 * res / exp_es_minus\\n return nes, distribution\",\n \"def score(self, data):\\n\\n score_mappings = {\\n \\\"0\\\": np.log(self.class_zero_doc_count / self.total_docs),\\n \\\"1\\\": np.log(self.class_one_doc_count / self.total_docs)\\n }\\n\\n features = self.featurize(data)\\n\\n for f in features:\\n\\n if(f[0] in self.class_zero):\\n cond_prob_zero = np.log((self.class_zero[f[0]] + 1) / (self.class_zero_feature_count + len(self.vocab)))\\n elif(f[0] in self.vocab):\\n cond_prob_zero = np.log(1 / (self.class_zero_feature_count + len(self.vocab)))\\n else:\\n cond_prob_zero = 0\\n\\n if(f[0] in self.class_one):\\n cond_prob_one = np.log((self.class_one[f[0]] + 1) / (self.class_one_feature_count + len(self.vocab)))\\n elif(f[0] in self.vocab):\\n cond_prob_one = np.log(1 / (self.class_one_feature_count + len(self.vocab)))\\n else:\\n cond_prob_one = 0\\n\\n score_mappings[\\\"0\\\"] += cond_prob_zero\\n score_mappings[\\\"1\\\"] += cond_prob_one\\n\\n score_mappings[\\\"0\\\"] = np.exp(score_mappings[\\\"0\\\"])\\n score_mappings[\\\"1\\\"] = np.exp(score_mappings[\\\"1\\\"])\\n\\n return score_mappings\",\n \"def interpolate_doc_sen_score_adj_sen():\\n print \\\"started interpolate_doc_sen_score\\\"\\n# all_claims_norms_scores_merged_dict_docs = linux_base_path +\\\"/all_claims_norms_scores_merged_dict_docs\\\"\\n# all_claims_norms_scores_merged_dict_sen = linux_base_path +\\\"/all_claims_norms_scores_merged_dict_adjacent_sen_corpus_beta_\\\"+str(corpus_beta)\\n# final_sen_scores = linux_base_path + \\\"/final_sen_scores_adjacent_sen_corpus_beta_\\\"+str(corpus_beta)+\\\"/\\\"\\n\\n all_claims_norms_scores_merged_dict_docs = base_path +\\\"\\\\\\\\all_claims_norms_scores_merged_dict_docs\\\\\\\\\\\"\\n all_claims_norms_scores_merged_dict_sen = base_path +\\\"\\\\\\\\all_claims_norms_scores_merged_dict_adjacent_sen_corpus_beta_\\\"+str(corpus_beta)+\\\"\\\\\\\\\\\"\\n final_sen_scores = base_path + \\\"\\\\\\\\final_sen_scores_adjacent_sen_corpus_beta_\\\"+str(corpus_beta)+\\\"\\\\\\\\\\\"\\n\\n# all_claims_norms_scores_merged_dict_sen = base_path + \\n top_k_docs_vals = [50]#,100,500] \\n alpha_range = [0.4]#,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1]\\n #alpha_range = [0.2,0.3]\\n #alpha_range = [0.4,0.5]\\n #alpha_range = [0.6,0.7]\\n #alpha_range = [0.8]\\n #alpha_range = [0.9]\\n #alpha_range = [1]\\n for k_val in top_k_docs_vals:\\n# for alpha in range(0,11,1): #change just for test!\\n for alpha_f in alpha_range:\\n for beta in range(8,9,1):\\n for delta_1 in range(9,10,1):\\n for delta_2 in range(0,1,1):\\n if not delta_1+delta_2 >9: \\n (beta_f, delta_1_f,delta_2_f)=turn_to_float([beta,delta_1,delta_2])\\n docs_scores_all_claims = read_pickle(all_claims_norms_scores_merged_dict_docs+\\\"/docs_norm_scores_all_claims_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f))\\n sen_scores_all_claims = read_pickle(all_claims_norms_scores_merged_dict_sen+\\\"/sen_norm_scores_all_claims_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_delta1_\\\"+str(delta_1_f)+\\\"_delta2_\\\"+str(delta_2_f)+\\\"_top_k_docs_\\\"+str(k_val))\\n# docs_scores_all_claims = read_pickle(all_claims_norms_scores_merged_dict_docs+\\\"docs_norm_scores_all_claims_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f))\\n# sen_scores_all_claims = read_pickle(all_claims_norms_scores_merged_dict_sen+\\\"sen_norm_scores_all_claims_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_delta1_\\\"+str(delta_1_f)+\\\"_delta2_\\\"+str(delta_2_f)+\\\"_top_k_docs_\\\"+str(k_val))\\n for lambda_int in range(2,3,1):\\n lambda_f = turn_to_float([lambda_int])\\n curr_final_sen_score_dict = {}\\n# if os.path.exists(final_sen_scores+\\\"clm_num_key_final_ranked_list_sen_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_delta1_\\\"+str(delta_1_f)+\\\"_delta2_\\\"+str(delta_2_f)+\\\"_top_k_docs_\\\"+str(k_val)+\\\"_lambda_\\\"+str(lambda_f)+\\\"_sorted\\\") == True:\\n# continue\\n# else:\\n try:\\n for ((claim_num,sen),(doc_id,sen_score)) in sen_scores_all_claims.items():\\n new_sen_score = lambda_f*sen_score + (1-lambda_f)*docs_scores_all_claims[claim_num,doc_id]\\n curr_final_sen_score_dict[claim_num,sen] = ((doc_id,new_sen_score))\\n except Exception as err: \\n sys.stderr.write('problem in claim_num:' +claim_num +\\\" sen:\\\" +sen) \\n print err.args \\n print err\\n #rank per claim according to score\\n curr_final_sen_score_dict_sorted = collections.OrderedDict(sorted(curr_final_sen_score_dict.items(), key= lambda x: (-int(x[0][0]),x[1][1]),reverse=True)) \\n #move directly to a ranked list:\\n clm_num_key_final_ranked_list_sen = {} #key is a claim num, value is a list \\n for ((clm_num,sen),(doc_id,score)) in curr_final_sen_score_dict_sorted.items():\\n if (clm_num) in clm_num_key_final_ranked_list_sen.keys():\\n clm_num_key_final_ranked_list_sen[clm_num].append((sen,score))\\n else:\\n clm_num_key_final_ranked_list_sen[clm_num]=[(sen,score)]\\n # save_pickle(final_sen_scores+\\\"all_claims_final_sen_score_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_top_k_docs_\\\"+str(k_val)+\\\"_lambda_\\\"+str(lambda_f)+\\\"_sorted\\\",curr_final_sen_score_dict_sorted)\\n save_pickle(final_sen_scores+\\\"clm_num_key_final_ranked_list_sen_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_delta1_\\\"+str(delta_1_f)+\\\"_delta2_\\\"+str(delta_2_f)+\\\"_top_k_docs_\\\"+str(k_val)+\\\"_lambda_\\\"+str(lambda_f)+\\\"_sorted\\\",clm_num_key_final_ranked_list_sen)\\n print \\\"finished interpolate_doc_sen_score\\\"\",\n \"def test_normalization(self):\\n\\n \\\"\\\"\\\"\\n Create the test data.\\n \\\"\\\"\\\"\\n tokenizer = Tokenizer(stem=False)\\n posts = [\\n \\\"Erdogan with threats to attack regime forces 'everywhere' in Syria\\\",\\n \\\"After Erdogan's statement, Damascus says Erdogan 'disconnected from reality' after threats\\\",\\n ]\\n\\n corpus = [ Document(post, tokenizer.tokenize(post)) for post in posts ]\\n\\n extractor = TokenExtractor(tokenizer=tokenizer)\\n scorer = TFIDFScorer({ 'erdogan': 1, 'threats': 2 }, 10)\\n candidates = extractor.extract(corpus)\\n scores = scorer.score(candidates, normalize_scores=True)\\n self.assertEqual(1, scores.get('erdogan'))\",\n \"def __calculateNormalizedScores(self):\\n year_scores = {0 : []}\\n for venue in self.venue_scores:\\n v_scores = []\\n for year in self.venue_scores[venue]:\\n v_scores.append(self.venue_scores[venue][year])\\n if year not in year_scores:\\n year_scores[year] = []\\n year_scores[year].append(self.venue_scores[venue][year])\\n x_year = np.average(np.array(v_scores))\\n self.venue_scores[venue][0] = x_year\\n year_scores[0].append(x_year)\\n \\n ##for standardization\\n #year_metrics = {x : (np.average(np.array(year_scores[x])), np.std(np.array(year_scores[x]))) for x in year_scores}\\n ##for normalization\\n year_metrics = {x: (max(year_scores[x]), min(year_scores[x])) for x in year_scores}\\n \\n #print year_metrics\\n \\n for venue in self.venue_scores:\\n self.normalized_scores[venue] = dict()\\n for year in self.venue_scores[venue]:\\n #self.standard_scores[venue][year] = round((self.venue_scores[venue][year] - year_metrics[year][0]) / year_metrics[year][1],5)\\n #self.normalized_scores[venue][year] = (self.venue_scores[venue][year] - year_metrics[year][1]) / (year_metrics[year][0] - year_metrics[year][1]) + eps\\n self.normalized_scores[venue][year] = (self.venue_scores[venue][year] - year_metrics[year][1] + self.epsilon) / (year_metrics[year][0] - year_metrics[year][1] + self.epsilon)\",\n \"def generateScore(self):\\n totalFreq = self.lazySum(key=None)\\n for file in self._candidate_files:\\n filename = os.path.basename(file)\\n score_file = os.path.join(self._score_dir, filename)\\n with open(score_file, 'w') as ofd:\\n with open(file) as ifd:\\n for line in ifd:\\n words = line.strip().split('\\\\t')\\n if len(words) < 2 or any(map(lambda word:len(word)<2, words)):\\n continue\\n\\n XFreq = self.lazySum(words[0])\\n YFreq = self.lazySum(words[1])\\n XYFreq = self.lazySum(line.strip())\\n # frequences filter\\n #if XYFreq < 2 or XYFreq > 24:\\n # continue\\n if YFreq == 0 or XFreq == 0 or XYFreq == 0:\\n # because when generating grams, we last last words' frequency\\n continue\\n PX = XFreq * 1.0 / totalFreq\\n PY = YFreq * 1.0 / totalFreq\\n PXY = XYFreq * 1.0 / totalFreq\\n score = math.log(PXY/PX/PY, 2) * XYFreq\\n #print \\\"Freq:\\\", XFreq, YFreq, XYFreq\\n result = \\\"{0}\\\\t{1:.2f}\\\\n\\\".format(line.strip(), score)\\n ofd.write(result)\",\n \"def normalize(self):\\n for key in self.corpus.keys():\\n sum_count = 0\\n words = []\\n counts = []\\n for k, v in self.corpus[key].items():\\n sum_count += v\\n words.append(k)\\n counts.append(v)\\n prob = [float(count)/sum_count for count in counts]\\n\\n self.corpus[key] = [words, prob]\",\n \"def weight_distribution(self):\\n all_scores = []\\n for zettel in self.lemma_tokens:\\n scores = []\\n for word in zettel:\\n cur_tf_idf = self.tf_idf_scores[word[0]] / 3 #range: 0-3+\\n if word[1] == 'NG':\\n word_list = re.split(\\\" \\\", word[0])\\n cur_word_score = 0\\n i = 0\\n for new_word in word_list:\\n cur_word_score += self.word_scores[new_word]\\n i += 1\\n cur_word_score = cur_word_score / i / 2 #range: 0-2+\\n else:\\n cur_word_score = self.word_scores[word[0]] / 2 #range: 0-2+\\n cur_keyword_score = self.keyword_scores[word[0]] / 4 #0-4+\\n cur_text_rank = self.text_ranks[word[0]] / 10 #range: 0-12+\\n cur_pos_score = self.pos_scores[word[0]]\\n cur_area_score = self.z_area_scores[word[0]]\\n cur_total_score = ((cur_tf_idf * self.score_weights[0]) + (cur_word_score * self.score_weights[1]) +\\n (cur_keyword_score * self.score_weights[2]) + (cur_text_rank * self.score_weights[3]) +\\n (cur_pos_score * self.score_weights[4]) + (cur_area_score * self.score_weights[5])) / 6\\n scores.append(cur_total_score)\\n all_scores.append(scores)\\n return all_scores\",\n \"def score_sentences(adm):\\n lemma_frequencies = lemma_fd(adm)\\n entity_frequencies = entity_fd(adm)\\n sentences = adm['attributes']['sentence']['items']\\n tokens = sorted(adm['attributes']['token']['items'], key=extent)\\n mentions = sorted(entity_mentions(adm), key=extent)\\n for i, sentence in enumerate(sentences):\\n sentence['score'] = 0.0\\n sentence['tokenLength'] = 0\\n token = tokens.pop(0) if tokens else {}\\n mention = mentions.pop(0) if mentions else {}\\n # frequencies of contentful tokens inscrease the sentence the score\\n while overlaps(token, sentence):\\n sentence['score'] += score(token, lemma_frequencies, token_key)\\n token = tokens.pop(0) if tokens else {}\\n sentence['tokenLength'] += 1\\n # frequencies of contentful entity mentions contribute to the score\\n while overlaps(mention, sentence):\\n sentence['score'] += score(mention, entity_frequencies, entity_key)\\n mention = mentions.pop(0) if mentions else {}\\n # normalize sentence score by sentence length\\n sentence['score'] /= max(sentence['tokenLength'], 1)\\n # penalize later sentences in the document based on their position\\n # (sentences that occur later in a document get penalized more but with \\n # logarithmic falloff)\\n sentence['score'] *= log(len(sentences) - i + 1)\",\n \"def fairness_ranking(data, ranked_list, group_file, gamma=0.5, stop_prob=0.7, verbose=False):\\n author_exposure = {}\\n author_relevance = {}\\n\\n #calculate the exposure and relevance for each author\\n for query in ranked_list:\\n exposure = 1.0\\n for doc in query[1]:\\n relevance = doc[0]\\n\\n authors_id = data_combining.get_data(doc[1], data = data)['authors']['corpus_author_id']\\n\\n for a in authors_id:\\n if int(a) not in author_exposure:\\n author_exposure[int(a)] = exposure\\n else:\\n author_exposure[int(a)] += exposure\\n\\n if int(a) not in author_relevance:\\n author_relevance[int(a)] = stop_prob * relevance\\n else:\\n author_relevance[int(a)] += stop_prob * relevance\\n\\n exposure *= gamma\\n exposure *= (1 - stop_prob * relevance)\\n\\n #calculate group relevance and exposure\\n group_exposure_sum = {}\\n group_relevance_sum = {}\\n group = pd.read_csv(group_file)\\n for index, row in group.iterrows():\\n curr_author_exposure = author_exposure[row['author_id']] if row['author_id'] in author_exposure else 0\\n curr_author_relevance = author_relevance[row['author_id']] if row['author_id'] in author_relevance else 0\\n\\n\\n if row['gid'] not in group_exposure_sum:\\n group_exposure_sum[row['gid']] = curr_author_exposure\\n else:\\n group_exposure_sum[row['gid']] += curr_author_exposure\\n\\n if row['gid'] not in group_relevance_sum:\\n group_relevance_sum[row['gid']] = curr_author_relevance\\n else:\\n group_relevance_sum[row['gid']] += curr_author_relevance\\n\\n total_group_relevance = sum(group_relevance_sum.values())\\n total_group_exposure = sum(group_exposure_sum.values())\\n\\n squared_sum = 0\\n\\n group_exposure_and_relevance = {}\\n\\n for group, relevance in group_relevance_sum.items():\\n group_relevance = relevance / total_group_relevance\\n group_exposure = group_exposure_sum[group] / total_group_exposure\\n\\n group_exposure_and_relevance[group] = (group_relevance, group_exposure)\\n if verbose:\\n print('{}: rel {} | exp {}'.format(group, group_relevance, group_exposure))\\n\\n squared_sum += (group_exposure - group_relevance) ** 2\\n\\n if verbose:\\n print('fair exposure: {}'.format(math.sqrt(squared_sum)))\\n\\n return (math.sqrt(squared_sum), group_exposure_and_relevance)\",\n \"def preprocess(self, documents):\\n\\n # Store the total number of documents\\n num_docs = np.float(len(documents))\\n\\n # A dict storing the frequency of each word across all documents\\n total_word_freq = {}\\n\\n # A dict storing the number of documents that word appears in\\n doc_word_freq = {}\\n\\n # Iterate over all documents\\n for doc in documents:\\n # Split the string into a list of words\\n words = extract_words(doc)\\n\\n # Update the 'total_word_freq' dict using all words in 'words'\\n for w in words:\\n ''' YOUR CODE HERE '''\\n if w not in total_word_freq.keys():\\n total_word_freq[w] = 1\\n else:\\n total_word_freq[w] += 1\\n\\n ''' END CODE FOR THIS LOOP '''\\n\\n # Update the 'doc_word_freq' dict. Remember to only add '1' corresponding to\\n # each word in a document. In case a word appears twice in a document, then\\n # it should be ignored. We use the set() data structure to achieve this.\\n for w in set(words):\\n ''' YOUR CODE HERE '''\\n if w not in doc_word_freq:\\n doc_word_freq[w] = 1\\n else:\\n doc_word_freq[w] += 1\\n\\n ''' END CODE FOR THIS LOOP '''\\n\\n # A set of words with total frequency less than 'self.min_freq'\\n remove_words = set()\\n\\n ''' YOUR CODE HERE '''\\n\\n # Check frequency of each word and add to 'remove_words'\\n for w in total_word_freq.keys():\\n if total_word_freq[w] < self.min_freq:\\n remove_words.add(w)\\n\\n # Delete the words in 'remove_words' from 'total_word_freq' and\\n # 'doc_word_freq'.\\n for w in remove_words:\\n del total_word_freq[w]\\n del doc_word_freq[w]\\n\\n # Create a numpy array to store frequencies from which\\n # we can create the 'self.idf' preprocessed numpy array.\\n word_freq_tensor = np.zeros(len(doc_word_freq))\\n\\n # For each word in 'doc_word_freq' dict, update\\n # 'self.word_to_idx' and 'self.idx_to_word' and\\n # 'word_freq_tensor'.\\n i = 0\\n for w in doc_word_freq.keys():\\n self.word_to_idx[w] = i \\n self.idx_to_word[i] = w\\n word_freq_tensor[i] = doc_word_freq[w]\\n i+=1\\n \\n #print(word_freq_tensor.shape)\\n #print(word_freq_tensor)\\n # Calculate 'self.idf' (see hint.pdf for formula)\\n self.idf = -1*np.log(word_freq_tensor/(len(documents)))\\n ''' END YOUR CODE HERE '''\",\n \"def save_scores(emb_scores, emb_filename, base_scores, base_filename, output_dir):\\n\\n emb_file = open(Path(output_dir) / emb_filename, 'w')\\n base_file = open(Path(output_dir) / base_filename, 'w')\\n for word, score in emb_scores.items():\\n if word in base_scores:\\n print(float(score), file=emb_file)\\n print(float(base_scores[word]), file=base_file)\",\n \"def _compute_score(self):\\n\\n sgml_path = str(self.sgml_file.name)\\n text_path = sgml_path.replace('.sgm', '.txt')\\n ref_path = 'testsets/wmt18.ende.ref.txt'\\n\\n from sacrebleu import process_to_text, corpus_bleu\\n from pathlib import Path\\n\\n if not Path(text_path).exists():\\n process_to_text(sgml_path, text_path)\\n\\n hyp_stream = [x for x in open(text_path, encoding='utf-8')]\\n ref_stream = [r for r in open(ref_path, encoding='utf-8')]\\n\\n bleu = corpus_bleu(hyp_stream, [ref_stream])\\n\\n self.score = bleu.score\\n self.save()\",\n \"def evaluate():\\n global dictionary, wv\\n count = 0\\n # To save the scores by distance and similarity\\n scores = np.zeros(6)\\n similar = np.zeros(6)\\n itr = len(dictionary)\\n logging.info('running evaluation for {0} samples'.format(itr))\\n for key in dictionary:\\n progress = (count / itr) * 100\\n d = dictionary[key].split('resource/')\\n d = [idx.split()[0].translate(table).lower() for idx in d[1:]]\\n try:\\n r = np.array(list(map(lambda x: wv.get_vector(x), d)),\\n dtype=np.float32)\\n except KeyError:\\n itr -= 1\\n continue\\n if np.any(np.isnan(r)):\\n itr -= 1\\n continue\\n else:\\n if r.ndim == 2:\\n try:\\n # Mean of vector containing all word vectors\\n # obtained from abstract.\\n r = r.mean(axis=0).reshape(1, -1)\\n \\n # Obtain the vectors for the entity\\n mean_vec = mean_encoder(dictionary[key])\\n mean_vec = mean_vec.reshape(1, -1) / norm(mean_vec)\\n mean_dist_vec = distance_encoder(dictionary[key])\\n mean_dist_vec = mean_dist_vec.reshape(1, -1)\\n mean_dist_vec = mean_dist_vec / norm(mean_dist_vec)\\n title_vec = title_mean(key)\\n title_vec = title_vec.reshape(1, -1) / norm(title_vec)\\n abstract_vec = abstract_encoder(key)\\n abstract_vec = abstract_vec.reshape(1, -1)\\n abstract_vec = abstract_vec / norm(abstract_vec)\\n random_vec = np.random.randn(100).reshape(1, -1)\\n zero_vec = np.zeros(100).reshape(1, -1)\\n \\n # Score the entity vectors\\n scores[0] += norm(r - mean_vec)\\n scores[1] += norm(r - mean_dist_vec)\\n scores[2] += norm(r - title_vec)\\n scores[3] += norm(r - abstract_vec)\\n scores[4] += norm(r - random_vec)\\n scores[5] += norm(r - zero_vec)\\n similar[0] += cosine_similarity(r, mean_vec)\\n similar[1] += cosine_similarity(r, mean_dist_vec)\\n similar[2] += cosine_similarity(r, title_vec)\\n similar[3] += cosine_similarity(r, abstract_vec)\\n similar[4] += cosine_similarity(r, random_vec)\\n similar[5] += cosine_similarity(r, zero_vec)\\n count += 1\\n print(count, end='\\\\r')\\n except (ValueError, KeyError) as _:\\n itr -= 1\\n continue\\n else:\\n itr -= 1\\n continue\\n # Normalize the scores to get a better\\n # comparison against the baselines.\\n scores = scores / norm(scores)\\n similar = similar / norm(similar)\\n print_summary(scores, similar)\",\n \"def get_scores(self, query):\\n score = np.zeros(self.data['corpus_size'])\\n doc_len = np.array(self.data['doc_len'])\\n for q in query:\\n q_freq = np.array([(doc.get(q) or 0) for doc in self.data['doc_freqs']])\\n score += (self.data['idf'].get(q) or 0) * (q_freq * (self.data['k1'] + 1) /\\n (q_freq + self.data['k1'] * (\\n 1 - self.data['b'] + self.data['b'] * doc_len /\\n self.data['average_docs_len'])))\\n return score\",\n \"def RM3(query, docs, external_docs, freqstats, weights, fb_original_weight, fb_terms,\\n dump_term_weights=False):\\n coll_len = freqstats(None)[0]\\n lambda_c, lambda_d = weights\\n\\n query_tf = Counter(query)\\n query_len = len(query)\\n query_ctf = {stem: freqstats(stem)[0] for stem in query}\\n\\n prob_w = defaultdict(float)\\n for doc in external_docs:\\n doc_tf = Counter(doc)\\n doc_len = len(doc)\\n\\n score = 0\\n for stem, qtf in query_tf.items():\\n stem_score = (lambda_c * query_ctf[stem] / float(coll_len) +\\n lambda_d * doc_tf[stem] / float(doc_len))\\n if stem_score == 0:\\n score = float('-inf')\\n break\\n score += qtf * math.log(stem_score)\\n if score == float('-inf'):\\n continue\\n\\n for stem, dtf in doc_tf.items():\\n prob_w[stem] += float(dtf) / doc_len * math.exp(score)\\n\\n total_mass = sum(prob_w.values())\\n for k, v in prob_w.items():\\n prob_w[k] = float(v) / total_mass\\n\\n prob_q = {stem: float(qtf) / query_len for stem, qtf in query_tf.items()}\\n for stem, p in sorted(prob_w.items(), key=lambda x: x[1], reverse=True)[:fb_terms]:\\n prob_q[stem] = fb_original_weight * prob_q.get(stem, 0) + (1 - fb_original_weight) * p\\n\\n query_ctf = {stem: freqstats(stem)[0] for stem in prob_q}\\n\\n scores = []\\n for doc in docs:\\n doc_tf = Counter(doc)\\n doc_len = len(doc)\\n\\n score = 0\\n for stem, w in prob_q.items():\\n stem_score = lambda_c * query_ctf.get(stem, 1) / float(coll_len)\\n stem_score += lambda_d * doc_tf.get(stem, 0) / float(doc_len) if doc_len > 0 else 0\\n if stem_score == 0:\\n score = float('-inf')\\n break\\n score += w * math.log(stem_score)\\n if score == float('-inf'):\\n score = -1000000.0\\n scores.append(score)\\n\\n if dump_term_weights:\\n return scores, prob_q\\n else:\\n return scores\\n\\n # msp_score = float('-inf')\\n # for offset in xrange(0, max(0, doc_len - passage_size) + 1, increment):\\n # passage = doc[offset:offset+passage_size]\\n # passage_tf = Counter(passage)\\n # passage_len = len(passage)\\n\\n # score = 0\\n # for stem, qtf in query_tf.items():\\n # term_score = (lambda_c * query_ctf[stem] / float(coll_len) +\\n # lambda_d * doc_tf[stem] / float(doc_len) +\\n # lambda_p * passage_tf[stem] / float(passage_len))\\n # if term_score == 0:\\n # score = float('-inf')\\n # break\\n # score += qtf * math.log(term_score)\\n # if score > msp_score:\\n # msp_score = score\\n # yield msp_score\",\n \"def compute_doc_scores_BM25F(self, query_terms, \\n inverted_indexes, \\n doc_length_info_bm25f,\\n parameters):\\n \\n doc_scores = dict() # This is to contain each document's score\\n for term in query_terms: # For each query term ...\\n \\n # Retrieve information regarding the current term\\n term_info = inverted_indexes[term]\\n n_docs_containing_term = len(term_info)\\n \\n # For each document that contains the term ...\\n for cord_uid in term_info.keys():\\n \\n tf_field_dict = term_info[cord_uid]\\n length_info = doc_length_info_bm25f[cord_uid]\\n \\n # Compute document's score for this term\\n score = self.compute_term_BM25F(term, tf_field_dict, n_docs_containing_term, Constants.doc_count,\\n length_info,\\n parameters.k,\\n parameters.weight_title, parameters.weight_author, parameters.weight_abstract, parameters.weight_sections,\\n parameters.b_title, parameters.b_author, parameters.b_abstract, parameters.b_sections,\\n Constants.avg_title_length, Constants.avg_author_length, Constants.avg_abstract_length, Constants.avg_sections_length)\\n \\n # Store or increment the score\\n if cord_uid in doc_scores:\\n doc_scores[cord_uid] += score\\n else:\\n doc_scores[cord_uid] = score\\n \\n return doc_scores\",\n \"def _grade(lda_result, word_counters):\\n row_list = map(_word_counter_to_matrix_row, word_counters)\\n matrix = np.array(row_list, dtype = int) # paper x words\\n\\n output = np.dot(lda_result, matrix.T) # (topics x words) x (words x paper) --> topics x paper\\n\\n # Now perform normalization by paper (column): (x - mean) / std\\n output = (output - np.mean(output, axis = 0)) / np.std(output, axis = 0)\\n return output.T\",\n \"def normalize_scores(scores):\\n #print(scores)\\n keys = scores.keys()\\n\\n sum = 0.0\\n for k in keys:\\n #print(\\\"%06f\\\\t\\\" % scores.get(k)),\\n sum += scores.get(k)\\n\\n if sum == 1.0:\\n return scores\\n\\n new_scores = {}\\n for k in keys:\\n new_scores[k] = scores.get(k)/float(sum)\\n\\n return new_scores\",\n \"def _read_norm(self):\\n # loop through all the filename\\n for f5 in self.train_database:\\n\\n # get the precalculated data\\n fdata = os.path.splitext(f5)[0] + '_norm.pckl'\\n\\n # if the file doesn't exist we create it\\n if not os.path.isfile(fdata):\\n logger.info(f\\\" Computing norm for {f5}\\\")\\n norm = NormalizeData(f5, shape=self._grid_shape)\\n norm.get()\\n\\n # read the data\\n data = pickle.load(open(fdata, 'rb'))\\n\\n # handle the features\\n for feat_type, feat_names in self.select_feature.items():\\n for name in feat_names:\\n mean = data['features'][feat_type][name].mean\\n var = data['features'][feat_type][name].var\\n if var == 0:\\n logger.info(\\n ' : STD is null for %s in %s' % (name, f5))\\n self.param_norm['features'][feat_type][name].add(\\n mean, var)\\n\\n # handle the target\\n minv = data['targets'][self.select_target].min\\n maxv = data['targets'][self.select_target].max\\n self.param_norm['targets'][self.select_target].update(\\n minv)\\n self.param_norm['targets'][self.select_target].update(\\n maxv)\\n\\n # process the std\\n nfile = len(self.train_database)\\n for feat_types, feat_dict in self.param_norm['features'].items():\\n for feat in feat_dict:\\n self.param_norm['features'][feat_types][feat].process(\\n nfile)\\n if self.param_norm['features'][feat_types][feat].std == 0:\\n logger.info(\\n ' Final STD Null for %s/%s. Changed it to 1' %\\n (feat_types, feat))\\n self.param_norm['features'][feat_types][feat].std = 1\",\n \"def calc_std_nDCG_AP_corpus_smoothing(p):\\n \\n# nDCG_MAP_res = base_path +\\\"\\\\\\\\nDCG_MAP_res\\\\\\\\\\\"\\n measures_res = linux_base_path+ \\\"/measures_res\\\"+setup+\\\"/\\\"\\n k_val = 50\\n NDCG_AP_all_claims_all_param_values = read_pickle(measures_res+\\\"NDCG_AP_prec_at_k_all_claims_all_param_values_top_k_docs_\\\"+str(k_val)+\\\"_at_\\\"+str(p)) #key:clm,alpha_f,beta_f,k_val,lambda_f val nDCG_score,AP_score\\n each_params_AVGnDCG_MAP_dict = read_pickle(measures_res+\\\"each_params_AVGnDCG_MAP_prec_at_k_dict_top_k_docs_\\\"+str(k_val)+\\\"_at_\\\"+str(p)) #key:alpha_f,beta_f,k_val,lambda_f\\n nDCG_MAP_std = {} #key is a configuration quadruplet, value is the std of the measures\\n \\n \\n \\n# for k_val in top_k_docs_values:\\n for alpha in range(0,11,1): #change just for test!\\n for beta in range(0,10,1):\\n for lambda_int in range(0,11,1):\\n lambda_f = turn_to_float([lambda_int])\\n (alpha_f,beta_f) = turn_to_float([alpha,beta])\\n curr_AP_var = 0\\n curr_nDCG_var = 0\\n curr_prec_at_5_var = 0\\n curr_prec_at_10_var = 0\\n for clm in claim_list:\\n curr_nDCG_var += (NDCG_AP_all_claims_all_param_values[str(clm),alpha_f,beta_f,k_val,lambda_f][0] - each_params_AVGnDCG_MAP_dict[alpha_f,beta_f,k_val,lambda_f][0])**2\\n curr_AP_var += (NDCG_AP_all_claims_all_param_values[str(clm),alpha_f,beta_f,k_val,lambda_f][1] - each_params_AVGnDCG_MAP_dict[alpha_f,beta_f,k_val,lambda_f][1])**2\\n curr_prec_at_5_var += (NDCG_AP_all_claims_all_param_values[str(clm),alpha_f,beta_f,k_val,lambda_f][2] - each_params_AVGnDCG_MAP_dict[alpha_f,beta_f,k_val,lambda_f][2])**2\\n curr_prec_at_10_var +=(NDCG_AP_all_claims_all_param_values[str(clm),alpha_f,beta_f,k_val,lambda_f][3] - each_params_AVGnDCG_MAP_dict[alpha_f,beta_f,k_val,lambda_f][3])**2\\n curr_nDCG_std = float(float(math.sqrt(curr_nDCG_var))/float(len(claim_list)))\\n curr_AP_std = float(float(math.sqrt(curr_AP_var))/float(len(claim_list)))\\n curr_prec_at_5_std = float(float(math.sqrt(curr_prec_at_5_var))/float(len(claim_list)))\\n curr_prec_at_10_std =float(float(math.sqrt(curr_prec_at_10_var))/float(len(claim_list)))\\n nDCG_MAP_std[alpha_f,beta_f,k_val,lambda_f] = (curr_nDCG_std,curr_AP_std,curr_prec_at_5_std,curr_prec_at_10_std)\\n save_pickle(measures_res+\\\"nDCG_MAP_prec_at_k_std_for_each_configuration_k_top_docs_\\\"+str(k_val)+\\\"_at_\\\"+str(p), nDCG_MAP_std)\",\n \"def get_stats(inp_fn):\\n ent_pred_cnts = []\\n ent_gold_cnts = []\\n ent_intr_cnts = []\\n ccs = ConllCorefScores()\\n jsons = [json.loads(line) for line in open(inp_fn, encoding = \\\"utf8\\\")]\\n for doc_dict in jsons:\\n cur_doc = nlp(\\\" \\\".join(doc_dict[\\\"document\\\"]))\\n gold_clusts = doc_dict[\\\"gold_clusters\\\"]\\n pred_clusts = doc_dict[\\\"clusters\\\"]\\n\\n gold_ent_clusts = get_entities(cur_doc, gold_clusts)\\n pred_ent_clusts = get_entities(cur_doc, pred_clusts)\\n\\n gold_clusts_pronouns = [gold_clust\\n for gold_clust, gold_ent_clust\\n in zip(gold_clusts, gold_ent_clusts)\\n if contains_pronoun(gold_ent_clust)]\\n\\n pred_clusts_pronouns = [pred_clust\\n for pred_clust, pred_ent_clust\\n in zip(pred_clusts, pred_ent_clusts)\\n if contains_pronoun(pred_ent_clust)]\\n\\n update_avg_f1(ccs, gold_clusts_pronouns, pred_clusts_pronouns)\\n\\n pred_ents = set(map(str, flatten(pred_ent_clusts)))\\n gold_ents = set(map(str, flatten(gold_ent_clusts)))\\n if (not pred_ents) and (not gold_ents):\\n #TODO: what's going on in these instances?\\n continue\\n\\n ent_pred_cnts.append(len(pred_ents))\\n ent_gold_cnts.append(len(gold_ents))\\n ent_intr_cnts.append(len(pred_ents & gold_ents))\\n\\n ent_micro = micro_f1(ent_pred_cnts, ent_gold_cnts, ent_intr_cnts)\\n ent_macro = macro_f1(ent_pred_cnts, ent_gold_cnts, ent_intr_cnts)\\n ret_dict = {\\\"ent_micro\\\": ent_micro,\\n \\\"ent_macro\\\": ent_macro,\\n \\\"pronoun_avg_f1\\\": get_avg_f1(ccs)}\\n\\n logging.debug(f\\\"micro = {ent_micro['f1']:.2f}, macro = {ent_macro['f1']:.2f}\\\")\\n\\n return ret_dict\",\n \"def score_integerize():\\n for file_n in annual_report_indexes:\\n print file_n\\n\\n data_frame = fu.read_file_to_df(corporation_index_file_url, file_n + '_index')\\n data_frame['int_score'] = data_frame[u'企业总评分'.encode('utf-8')].apply(lambda x: round(x))\\n\\n fu.write_file(data_frame, corporation_index_file_url, file_n + '_index')\",\n \"def main():\\n \\\"\\\"\\\"Calculates BM25 and VSM score\\\"\\\"\\\"\\n\\n queries, docs, term_freq_corpus = io() \\n DocQ = DocumentQuery(docs, queries[0].split(\\\" \\\"), [], {}, {}, set(), term_freq_corpus)\\n #print(queries[0].split(\\\" \\\"))\\n DocQ.init_doc_query(queries[0].split(\\\" \\\"), docs)\\n DocQ.init_term_freq()\\n for i, d in enumerate(docs):\\n bm25 = DocQ.bm25_score(queries[0].split(\\\" \\\"), d)\\n print(docs[i], bm25)\\n\\n vsm.document_filenames = {i:d for i, d in enumerate(docs)}\\n vsm.N = len(docs)\\n vsm.query = queries[0]\\n vsm.initialize_terms_and_postings()\\n vsm.initialize_document_frequencies()\\n vsm.initialize_lengths()\\n vsm.do_search()\",\n \"def normal_subjects_out(sub):\\n baseDIR = 'the root directory'\\n ## read data (contains training data (all subjects except one) and test data (the rest subject) and corresponding labels) \\n matContent = sio.loadmat(baseDIR +'/Data/' +'normal_subject_out'+str(sub+1) +'.mat')\\n normal_x_train = matContent['trainingFeatures']\\n y_train = np.squeeze(matContent['trainingLabels'])\\n x_test = matContent['testFeatures']\\n y_test = matContent['testLabels'] \\n ## permute data\\n rand_idx = np.random.permutation(normal_x_train.shape[0])\\n normal_x_train = normal_x_train[rand_idx,:,:]\\n \\n ## normalize data based on StandardScaler function in Sklearn\\n normal_x_train, x_test, scaler = standardization(normal_x_train, x_test)\\n\\n ## pick 80% of normal training data to train DAE architecture and the rest 20% is used for computing NPM and fitting GEVD\\n train_perc = np.int(normal_x_train.shape[0] - np.round(0.2 * normal_x_train.shape[0]))\\n normal_x_train1 = normal_x_train[0:train_perc,:]\\n normal_x_train2 = normal_x_train[train_perc:,:]\\n \\n ## training labels are always 0s \\n training_labels = y_train[0:train_perc,] \\n training_labels1 = y_train[train_perc:,]\\n \\n ## make the inverse of standardization on both training parts \\n normal_x_gevd = scaler.inverse_transform(np.reshape(normal_x_train2,[normal_x_train2.shape[0],\\n normal_x_train2.shape[1]*normal_x_train2.shape[2]*normal_x_train2.shape[3]]))\\n normal_x_train_inverseScale = scaler.inverse_transform(np.reshape(normal_x_train1,[normal_x_train1.shape[0],\\n normal_x_train1.shape[1]*normal_x_train1.shape[2]*normal_x_train1.shape[3]]))\\n \\n #save data both for before and after standardization\\n sio.savemat(baseDIR + 'Dropout/'+ 'normal_train_for_NPM_sub_out' + str(sub+1)+ '.mat', {'normal_train_x':normal_x_train_inverseScale,'normal_train_npm':normal_x_gevd})\\n sio.savemat(baseDIR + 'Dropout/' + 'data_after_normalization' + str(sub+1) + '.mat',{'normal_x_train1':normal_x_train1,'normal_x_train2':normal_x_train2,'scaler':scaler,'x_test':x_test})\\n return normal_x_train1, normal_x_train2, x_test, training_labels, training_labels1, y_test, scaler\",\n \"def calc_intersection_true_data_baselines_data_cnt():\\n# final_sen_scores = linux_base_path + \\\"/final_sen_scores/\\\"\\n final_sen_scores = base_path + \\\"\\\\\\\\final_sen_scores\\\\\\\\\\\"\\n top_k_docs_values = [50]\\n lambda_f = \\\"1\\\"\\n claim_sen_true_relevance_dict = read_pickle(\\\"claim_sen_relevance_dict_\\\"+curr_source)\\n claims_dict = read_pickle(\\\"claim_dict\\\")\\n intersection_count_avg_all_claims =0\\n exclude = set(string.punctuation)\\n \\n for k_val in top_k_docs_values:\\n intersection_count = 0\\n for alpha in range(10,11,1): #change just for test!\\n for beta in range(0,1,1):\\n (alpha_f,beta_f) = turn_to_float([alpha,beta])\\n curr_baseline_final_sen_score_dict = read_pickle(final_sen_scores+\\\"clm_num_key_final_ranked_list_sen_alpha_\\\"+str(alpha_f)+\\\"_beta_\\\"+str(beta_f)+\\\"_top_k_docs_\\\"+str(k_val)+\\\"_lambda_\\\"+str(lambda_f)+\\\"_sorted\\\")\\n for clm in curr_baseline_final_sen_score_dict.keys():\\n curr_clm_baseline_set = set()\\n curr_true_relevance_set = set()\\n for (sen,score) in curr_baseline_final_sen_score_dict[clm]:\\n sen_no_punc = ''.join(ch for ch in sen if ch not in exclude)\\n sen_no_space = sen_no_punc.replace(\\\" \\\",\\\"\\\")\\n curr_clm_baseline_set.add(sen_no_space)\\n for (sen,score) in claim_sen_true_relevance_dict[claims_dict[clm]]:\\n sen_no_punc = ''.join(ch for ch in sen if ch not in exclude)\\n sen_no_space = sen_no_punc.replace(\\\" \\\",\\\"\\\")\\n curr_true_relevance_set.add(sen_no_space) \\n intersection_count += len(curr_clm_baseline_set.intersection(curr_true_relevance_set))\\n intersection_count_avg_all_claims += float(float(intersection_count)/float(110))\\n intersection_count_avg_all_claims = float(float(intersection_count_avg_all_claims)/float(len(curr_baseline_final_sen_score_dict.keys())))\\n print \\\"intersection_count_avg_all_claims:\\\"+str(intersection_count_avg_all_claims)\",\n \"def test_compute_unnormalized_scores(self):\\n # todo: implement this test!\\n pass\",\n \"def ari(self, doc):\\n num_sentences = _get_num_sentences(doc)\\n num_words = _get_num_words(doc)\\n if num_words <= 0:\\n return 0\\n\\n letter_count = sum([len(token) for token in doc if not token.is_punct])\\n letter_to_words = letter_count / num_words\\n words_to_sents = num_words / num_sentences\\n return 4.71 * letter_to_words + 0.5 * words_to_sents - 21.43\",\n \"def initialise(filename):\\n normaliser = Normaliser()\\n\\n abs_colle_ref = db.collection('abstract')\\n title_colle_ref = db.collection('title')\\n author_colle_ref = db.collection('author')\\n\\n abs_param_ref = db.collection('param').document(\\\"abstract\\\")\\n title_param_ref = db.collection('param').document(\\\"title\\\")\\n author_param_ref = db.collection('param').document(\\\"author\\\")\\n\\n doc_total = 0\\n total_title_word = 0\\n total_abs_word = 0\\n total_author_word = 0\\n\\n\\n text = read(filename)\\n\\n for key in text.keys():\\n doc_total = doc_total + 1\\n doc_id = key.replace(\\\".\\\", \\\"-\\\")\\n abstract = normaliser.normalise_text(text[key][\\\"abs\\\"])\\n title = normaliser.normalise_text(text[key][\\\"title\\\"])\\n author = normaliser.normalise_authors(text[key][\\\"authors\\\"])\\n\\n\\n\\n\\n \\\"\\\"\\\"creating index\\\"\\\"\\\"\\n\\n file_title_cnt = init_index(doc_id, title, title_colle_ref)\\n file_abs_cnt = init_index(doc_id, abstract, abs_colle_ref)\\n file_author_cnt = init_index(doc_id, author, author_colle_ref)\\n total_abs_word = total_abs_word + file_abs_cnt\\n total_title_word = total_title_word + file_title_cnt\\n total_author_word = total_author_word + file_author_cnt\\n\\n\\n abs_param_ref.set(\\n {\\n 'total_doc_number': doc_total,\\n 'total_document_length': total_abs_word\\n }\\n )\\n\\n title_param_ref.set(\\n {\\n 'total_doc_number': doc_total,\\n 'total_document_length': total_title_word\\n }\\n )\\n\\n author_param_ref.set(\\n {\\n 'total_doc_number': doc_total,\\n 'total_document_length': total_author_word\\n }\\n )\\n return\",\n \"def neural_relevance_model(ix, term_dict, ids_and_scores, corpus, fb_terms):\\n\\n\\t# set variables\\n\\trm1_vec = list()\\n\\tvocab = set()\\n\\tdoc_vecs = dict()\\n\\n\\t# create document feature vectors for each feedback doc\\n\\tfor doc_id in ids_and_scores.keys():\\n\\t\\t# convert current doc to bow format\\n\\t\\tbow = ix.doc2bow(corpus[doc_id])\\n\\t\\t# create document feature vector\\n\\t\\tdfv = create_feature_vector(ix, term_dict, bow)\\n\\t\\t# keep top 'fb_terms' from dfv\\n\\t\\tdfv = defaultdict(int, sorted(dfv, key=lambda x: (-x[1], x[0]))[:fb_terms]) # -x[1] represents descending order\\n\\t\\t# update vocab with top 'fb_terms' terms contained within feedback docs and store document feature vectors\\n\\t\\tvocab.update(dfv.keys())\\n\\t\\tdoc_vecs[doc_id] = dfv\\n\\n\\t# compute L1 norm for each document feature vector\\n\\tnorms = {doc_id: sum(dfv.values()) for doc_id, dfv in doc_vecs.items()}\\n\\n\\t# loop over terms in vocab and compute RM1\\n\\tfor term in vocab:\\n\\t\\tfb_weight = 0.0\\n\\t\\t# loop over document feature vectors \\n\\t\\tfor doc_id in doc_vecs.keys():\\n\\t\\t\\tif norms[doc_id] > 0.001: # avoids zero-length feedback docs which cause division by zero when computing term weights\\n\\t\\t\\t\\t# sum the score of current term across different docs to fb_weight\\n\\t\\t\\t\\tfb_weight += (doc_vecs[doc_id][term] / norms[doc_id]) * ids_and_scores[doc_id] # ids_and_scores[doc_id] is the score obtained for current doc w/ the original query\\n\\t\\t# assign term w/ weight to RM1 feature vector\\n\\t\\trm1_vec.append((term, fb_weight))\\n\\n\\t# keep top 'fb_terms' from rm1_vec\\n\\trm1_vec = defaultdict(float, sorted(rm1_vec, key=lambda x: (-x[1], x[0]))[:fb_terms]) # -x[1] represents descending order\\n\\t# scale rm1_vec to L1 norm\\n\\treturn scale_to_L1_norm(rm1_vec)\",\n \"def updateScores(rankedLists):\\n docToRank = {}\\n for rankedList in rankedLists:\\n\\n f = open(rankedList, 'r')\\n for line in f:\\n documentID = line.split()[2]\\n docno = documentID\\n score = float(line.split()[4])\\n position = int(line.split()[3])\\n docToRank[docno] = (position,score)\\n f.close()\\n client = MongoClient('asr2.iem.technion.ac.il',27017)\\n db = client.asr16\\n documents = db.documents.find({})\\n for document in documents:\\n key = document[\\\"query_id\\\"]+\\\"-\\\"+document[\\\"username\\\"]\\n document['position'] = docToRank[key][0]\\n document['score'] = docToRank[key][1]\\n document['posted_document'] = document['current_document']\\n db.documents.save(document)\",\n \"def preprocess(self, documents):\\n\\n # A dict storing the frequency of each word\\n word_freq = {}\\n\\n # Iterate for each document\\n for doc in documents:\\n # Split the document into a list of words and iterate on it\\n for w in extract_words(doc):\\n # Update word frequencies\\n '''YOUR CODE HERE'''\\n if w not in word_freq.keys():\\n word_freq[w] = 1\\n else:\\n word_freq[w] += 1\\n\\n ''' END CODE FOR THIS LOOP '''\\n\\n\\n # A set of words with frequency less than 'self.min_freq'\\n remove_words = set()\\n\\n # Check frequency of each word and add to 'remove_words'\\n # if it's frequency is below self.min_freq\\n\\n ''' YOUR CODE HERE '''\\n for w in word_freq.keys():\\n if word_freq[w] < self.min_freq:\\n remove_words.add(w)\\n\\n # Delete the words in 'remove_words' from 'word_freq'\\n for w in remove_words:\\n del word_freq[w]\\n\\n # Fill 'self.word_to_idx' and 'self.idx_to_word' for\\n # each word in 'word_freq' (dicts are explained above)\\n\\n i = 0\\n for w in word_freq.keys():\\n self.word_to_idx[w] = i\\n self.idx_to_word[i] = w \\n i += 1\\n\\n ''' END YOUR CODE HERE '''\",\n \"def __init__(self):\\n\\n try:\\n self.posFreqDict = self.load(\\\"posFreqDict\\\")\\n self.neuFreqDict = self.load(\\\"neuFreqDict\\\")\\n self.negFreqDict = self.load(\\\"negFreqDict\\\")\\n\\n except:\\n\\n lFileList = []\\n for fFileObj in os.walk(\\\"movies_reviews/\\\"): \\n lFileList = fFileObj[2]\\n break\\n random.shuffle(lFileList)\\n \\n self.train(lFileList)\\n Original_d = {}\\n d = {}\\n correct_positives =0\\n incorrect_positives=0\\n correct_negatives =0\\n incorrect_negatives = 0\\n for file in lFileList[int(float(len(lFileList))*.9):len(lFileList)+1]:\\n rating = int(file[7])\\n if rating in Original_d:\\n Original_d[rating] = Original_d[rating]+1\\n else:\\n Original_d[rating]=1\\n\\n fileText = self.loadFile(\\\"movies_reviews/\\\" + str(file))\\n result = self.classify(fileText)\\n if result in d:\\n d[result]=d[result]+1\\n else:\\n d[result]=1\\n if rating==5:\\n if result ==\\\"positive\\\":\\n correct_positives+=1\\n else:\\n incorrect_positives+=1\\n else:\\n if result == \\\"negative\\\":\\n correct_negatives+=1\\n else:\\n incorrect_negatives+=1\\n print Original_d\\n print d\\n print correct_positives #Actually positive, we said positive\\n print incorrect_positives #Actually positive, we said negative\\n print correct_negatives #Actually negative, we said negative\\n print incorrect_negatives #Actually negative, we said positive\\n \\n A = float(correct_positives)\\n B = float(incorrect_positives)\\n C = float(incorrect_negatives)\\n\\n Recall = (A / (A + B)) *100.0\\n Precision = (A / (A + C)) *100.0\\n FScore = 2 * (Recall*Precision) / (Recall+Precision)\\n\\n print Recall\\n print Precision\\n print FScore\",\n \"def rank_entity(domain_entity_file, others_entity_file, dict_file):\\n score_dict = dict()\\n sports_idf_dict, others_idf_dict = dict(), dict()\\n domain_num, others_num = 0, 0\\n with open(domain_entity_file, encoding='utf8') as f:\\n for idx, line in enumerate(f):\\n tokens = line.strip().split(\\\"\\\\t\\\")\\n for word in set(tokens): # idf\\n if word not in sports_idf_dict:\\n sports_idf_dict[word] = 1\\n else:\\n sports_idf_dict[word] += 1\\n domain_num = idx + 1\\n print(\\\"domain_num: \\\", domain_num)\\n with open(others_entity_file, encoding='utf8') as f:\\n for idx, line in enumerate(f):\\n tokens = line.strip().split(\\\"\\\\t\\\")\\n for word in set(tokens): # idf\\n if word not in others_idf_dict:\\n others_idf_dict[word] = 1\\n else:\\n others_idf_dict[word] += 1\\n others_num = idx + 1\\n print(\\\"others_num: \\\", others_num)\\n for word in sports_idf_dict:\\n if word in others_idf_dict: # sub-idf * log df\\n score_dict[word] = (math.log(domain_num * 1.0 / (1 + sports_idf_dict[word])) - math.log(\\n others_num * 1.0 / (1 + others_idf_dict[word]))) * (math.log(1 + sports_idf_dict[word]))\\n else:\\n score_dict[word] = (math.log(domain_num * 1.0 / (1 + sports_idf_dict[word])) - math.log(\\n others_num * 1.0)) * (math.log(1 + sports_idf_dict[word]))\\n # print(len(sports_idf_dict), len(others_idf_dict))\\n sorted_list = sorted(score_dict.items(), key=lambda d: d[1]) # reverse=True\\n with open(dict_file, \\\"w\\\", encoding='utf8') as fw:\\n for item in sorted_list:\\n if item[0] in others_idf_dict:\\n fw.write(item[0] + \\\"\\\\t\\\" + str(item[1]) + \\\"\\\\t\\\" + str(sports_idf_dict[item[0]]) + \\\"\\\\t\\\" + str(\\n others_idf_dict[item[0]]) + \\\"\\\\n\\\")\\n else:\\n fw.write(item[0] + \\\"\\\\t\\\" + str(item[1]) + \\\"\\\\t\\\" + str(sports_idf_dict[item[0]]) + \\\"\\\\t\\\" + str(0) + \\\"\\\\n\\\")\",\n \"def get_scores(self):\\n hist = self.confusion_matrix\\n # hist = [TN,FP;FN,TP]\\n acc = np.diag(hist).sum() / hist.sum()\\n acc_cls = np.diag(hist) / hist.sum(axis=1)\\n acc_cls = np.nanmean(acc_cls)\\n iu = np.diag(hist) / (hist.sum(axis=1) + hist.sum(axis=0) - np.diag(hist))\\n # iou = iu.sum() / self.n_classes\\n mean_iou = np.nanmean(iu) # if classes = 2: iou = miou\\n freq = hist.sum(axis=1) / hist.sum()\\n fwavacc = (freq[freq > 0] * iu[freq > 0]).sum()\\n cls_iou = dict(zip(range(self.n_classes), iu))\\n\\n ##############################################\\n tn = hist[0, 0]\\n tp = np.diag(hist).sum() - tn\\n fp = np.triu(hist, 1).sum()\\n fn = np.tril(hist, -1).sum()\\n precision = tp / (tp + fp)\\n recall = tp / (tp + fn)\\n f1 = 2 * precision * recall / (precision + recall)\\n\\n # for medical img, img_seg \\\\in [0,1]\\n dice = 2 * tp / (tp + tp + fn + fp)\\n # dice = f1-score\\n dsc = 2 * tp / (tp + fn + fp)\\n # dsc = jaccard\\n # voe = 2 * abs(fp + fn) / (tp + tp + fn + fp)\\n # voe = 1 - dsc\\n\\n k2 = {\\n # \\\"Overall Acc: \\\\t\\\": acc,\\n 'Mean Acc': float(judge_nan(acc_cls)),\\n # \\\"FreqW Acc : \\\\t\\\": fwavacc,\\n 'Mean IoU': float(judge_nan(mean_iou)),\\n 'F1-score': float(judge_nan(f1)),\\n 'DSC': float(judge_nan(dsc)),\\n 'Precision': float(judge_nan(precision)),\\n 'Recall': float(judge_nan(recall)),\\n }\\n\\n return k2\",\n \"def compute_probabilities():\\n global total_spam_words, total_ham_words\\n total_words = total_spam_words+total_ham_words\\n unique_words = len(all_dict)\\n print(\\\"Training Set Description: \\\")\\n len_ham = len(ham_file_list)\\n len_spam = len(spam_file_list)\\n print(\\\"SPAM EMAILS: \\\",len_spam)\\n print(\\\"HAM EMAILS: \\\",len_ham)\\n print(\\\"Total words: \\\",total_words)\\n print(\\\"Training...\\\")\\n \\n spam_probability = math.log((len_spam)/(len_spam+len_ham))\\n ham_probability = math.log((len_ham)/(len_spam+len_ham))\\n \\n \\n \\n output_file = open(\\\"nbmodel.txt\\\", \\\"w+\\\", encoding=\\\"latin-1\\\")\\n output_file.write(\\\"model_params \\\"+str(spam_probability)+\\\" \\\"+str(ham_probability)+\\\"\\\\n\\\")\\n \\n nbmodel = {}\\n nbmodel[\\\"model_params\\\"] = (spam_probability,ham_probability)\\n for word in all_dict.keys():\\n spam_count = 1\\n if word in spam_dict:\\n spam_count+= spam_dict[word]\\n \\n word_spam_probability = math.log(spam_count / (total_spam_words+unique_words))\\n \\n ham_count = 1\\n if word in ham_dict:\\n ham_count+= ham_dict[word]\\n \\n word_ham_probability = math.log(ham_count / (total_ham_words+unique_words))\\n \\n output_file.write(word+\\\" \\\"+str(word_spam_probability)+\\\" \\\"+str(word_ham_probability)+\\\"\\\\n\\\")\\n nbmodel[word] = (word_spam_probability, word_ham_probability) \\n \\n print(\\\"nbmodel.txt generated successfully...\\\")\\n print(\\\"SPAM Probability: \\\",spam_probability)\\n print(\\\"HAM Probability: \\\",ham_probability)\\n output_file.close()\",\n \"def naive_bayes_train_bis(sms_file):\\n dic, list1, list2 = tokenize_and_split_bis(sms_file)\\n nbr_words = len(list1) + len(list2)\\n spam_ratio = len(list1) / nbr_words\\n document = list1 + list2\\n\\n nbr_spam = 0\\n for line in list1:\\n for word in line:\\n nbr_spam += 1\\n \\n nbr_ham = 0\\n for line in list2:\\n for word in line:\\n nbr_ham += 1\\n \\n nbr_words = nbr_ham + nbr_spam\\n sms_ratio_list = compute_frequencies(nbr_words, document)\\n spam_ratio_list = compute_frequencies(nbr_words, list1)\\n spamicity = [0. for i in range(nbr_words)]\\n # print(sms_ratio_list)\\n # print(spam_ratio_list)\\n spamicity_no = [0. for i in range(nbr_words)]\\n spamicity_inv = [0. for i in range(nbr_words)]\\n\\n product_word_dic = 1\\n for i in range(nbr_words):\\n if sms_ratio_list[i] != 0:\\n spamicity[i] = ((spam_ratio_list[i]) / sms_ratio_list[i])\\n spamicity_no[i] = 1 - ((spam_ratio_list[i]) / sms_ratio_list[i])\\n spamicity_inv[i] = ((1 - (spam_ratio_list[i])) / (1 - sms_ratio_list[i]))\\n # print(spamicity_inv[i])\\n # if spamicity_inv[i] != 0 :\\n product_word_dic *= spamicity_inv[i]\\n \\n return spam_ratio, dic, spamicity, spamicity_no, spamicity_inv, product_word_dic\",\n \"def normalize(self):\\n norm_val = self.sum2/self.sum1\\n self.sum1=0\\n\\n for sentence in self.data_set:\\n sentence.weight *= norm_val\\n self.sum1 += sentence.weight\",\n \"def calc_metrics(self, data, output):\\n\\n L1NormITAE = self.calcL1NormITAE(data)\\n L1NormAbs = self.calcL1NormAbs(data)\\n #\\n # print 'ITAE score: ', errorIntegral\\n print 'L1NormITAE: ', L1NormITAE\\n print 'L1NormAbs: ', L1NormAbs\\n print '\\\\n'\\n output.update({'L1NormITAE': L1NormITAE, 'L1NormAbs': L1NormAbs})\",\n \"def evaluate(predictions, documents):\\n ###TODO\\n x = 0.0\\n y = 0 #true ham, classified spam\\n z = 0 #true spam, classified ham\\n \\n for i in range(0,len(predictions)):\\n if(documents[i].label == 'sod' and predictions[i] == 'pop'):\\n z += 1\\n if(documents[i].label == 'sod' and predictions[i] == 'pop'):\\n y += 1 \\n \\n x = (len(documents) - (y+z)) / len(documents) \\n return (x,y,z)\\n pass\",\n \"def _eed_compute(sentence_level_scores: List[Tensor]) ->Tensor:\\n if len(sentence_level_scores) == 0:\\n return tensor(0.0)\\n average = sum(sentence_level_scores) / tensor(len(sentence_level_scores))\\n return average\",\n \"def Classify_Data(self):\\n\\n lem = lemmatization()\\n\\n # Get Mongo Client\\n client = MongoClient()\\n db = client['allMovies']\\n collection = db['Movies']\\n\\n # Path to folder containing the training model files\\n path = self.path\\n\\n # Get the list of doc ids trained\\n trained_docs = []\\n\\n # Mongo queries to retrieve Horror, Romance and Crime movies\\n qr1 = self.collection.find({\\\"content.genres.name\\\": \\\"Horror\\\"})\\n qr2 = self.collection.find({\\\"content.genres.name\\\": \\\"Romance\\\"})\\n qr3 = self.collection.find({\\\"content.genres.name\\\": \\\"Crime\\\"})\\n qr4 = self.collection.find({\\\"content.genres.name\\\": \\\"Comedy\\\"})\\n print(\\\"111\\\")\\n print(qr3)\\n\\n myfile = open('doc_ids.pkl', 'rb')\\n trained_docs = pickle.load(myfile)\\n # Get 100 Horror, Romance and Crime movies each, which are not in the trained data set\\n\\n horr = []\\n i = 0\\n for rec in qr1:\\n if rec['_id'] not in trained_docs:\\n i = i + 1\\n horr.append(rec)\\n\\n if i >= 333:\\n break\\n rom = []\\n i = 0\\n for rec in qr2:\\n if rec['_id'] not in trained_docs:\\n i = i + 1\\n rom.append(rec)\\n\\n if i >= 333:\\n break\\n\\n crime = []\\n i = 0\\n for rec in qr3:\\n if rec['_id'] not in trained_docs:\\n i = i + 1\\n crime.append(rec)\\n\\n if i >= 334:\\n break\\n comedy = []\\n i = 0\\n for rec in qr4:\\n if rec['_id'] not in trained_docs:\\n i = i + 1\\n comedy.append(rec)\\n\\n if i >= 334:\\n break\\n\\n # Combine the query results\\n query_results = []\\n for rec in horr:\\n query_results.append(rec)\\n for rec in rom:\\n query_results.append(rec)\\n for rec in crime:\\n query_results.append(rec)\\n print(query_results)\\n # Data to be classified\\n test_data = []\\n\\n # Genres of records to be classified\\n categories = []\\n a = 0\\n for movie in query_results:\\n test_data.append(movie['content']['overview'])\\n for genre in movie['content']['genres']:\\n a = a + 1\\n if ((genre['name'] == 'Horror') or (genre['name'] == 'Romance') or (genre['name'] == 'Crime') or (\\n genre['name'] == 'Comedy') and a <= 80):\\n categories.append(genre['name'])\\n\\n # Lists of training models and vectorizers\\n models = [\\\"SVM\\\", \\\"LOGISTIC REGRESSION\\\", \\\"GAUSSIAN NB\\\",\\n \\\"MULTINOMIAL NB\\\", \\\"BERNOULLI NB\\\", \\\"RANDOM FOREST\\\", \\\"BAGGING\\\", \\\"GRADIENT\\\",\\n \\\"Voting\\\", \\\"Voting With Weights\\\"]\\n\\n vectorizers = [\\\"COUNT VECTORIZER\\\", \\\"TFIDF VECTORIZER\\\"]\\n\\n # Load dictionary containing terms appearing in genres\\n dictionary = joblib.load(path + \\\"_Genre_Dictionary\\\")\\n\\n vec_1 = feature_extraction.text.CountVectorizer(vocabulary=dictionary)\\n vec_2 = feature_extraction.text.TfidfVectorizer(vocabulary=dictionary)\\n vec_list = [vec_1, vec_2]\\n\\n # List to store the classification stats for each model\\n stats = []\\n # Generate results\\n for i in range(0, len(models)):\\n for j in range(0, len(vectorizers)):\\n time0 = time.process_time()\\n model = joblib.load(path + models[i] + \\\"_\\\" + vectorizers[j].replace('-', '') + \\\".pkl\\\")\\n vec = vec_list[j]\\n Y = vec.fit_transform(test_data).toarray()\\n print(\\\"y\\\", Y)\\n predicted_genres = model.predict(Y)\\n\\n k = 0\\n horror = 0\\n romance = 0\\n crime = 0\\n\\n # Keeps track of correct predictions\\n y_correct = []\\n\\n # Keeps track of incorrect predictions\\n y_predicted = []\\n for pred in predicted_genres:\\n if (categories[k] == \\\"Horror\\\"):\\n if (pred == \\\"Horror\\\"):\\n horror += 1\\n y_predicted.append(0)\\n elif (pred == \\\"Romance\\\"):\\n y_predicted.append(1)\\n else:\\n y_predicted.append(2)\\n y_correct.append(0)\\n elif (categories[k] == \\\"Romance\\\"):\\n if (pred == \\\"Romance\\\"):\\n romance += 1\\n y_predicted.append(1)\\n elif (pred == \\\"Horror\\\"):\\n y_predicted.append(0)\\n else:\\n y_predicted.append(2)\\n y_correct.append(1)\\n elif (categories[k] == \\\"Crime\\\"):\\n if (pred == \\\"Crime\\\"):\\n crime += 1\\n y_predicted.append(2)\\n elif (pred == \\\"Horror\\\"):\\n y_predicted.append(0)\\n else:\\n y_predicted.append(1)\\n y_correct.append(2)\\n k = k + 1\\n\\n # Print results\\n score = precision_recall_fscore_support(y_correct, y_predicted, average='weighted')\\n # print(\\\"Number of records classified per second = %d\\\" % (round((1000/(time.process_time()-time0)),3)))\\n print(\\\"________SCORES__________\\\")\\n print(\\\"MODEL : \\\" + models[i])\\n print(\\\"VECTORIZER : \\\" + vectorizers[j])\\n print(\\\"Horror : %d/333\\\" % (horror))\\n print(\\\"Romance : %d/333\\\" % (romance))\\n print(\\\"Crime : %d/334\\\" % (crime))\\n print(\\\"Precision : %.5f\\\" % (score[0]))\\n print(\\\"Recall : %.5f\\\" % (score[1]))\\n print(\\\"F(1) Score : %.5f\\\" % ((score[1] * score[0] / (score[1] + score[0])) * 2))\\n print(\\\"F(W) Score : %.5f\\\" % (score[2]))\\n print(\\\"Accuracy : %.5f\\\" % accuracy_score(y_correct, y_predicted))\\n # print(confusion_matrix(y_correct, y_predicted))\\n\\n dic = {}\\n dic['model'] = models[i].title()\\n dic['vectorizer'] = vectorizers[j][:-11]\\n dic['horror'] = str(horror) + '/' + '333'\\n dic['romance'] = str(romance) + '/' + '333'\\n dic['crime'] = str(crime) + '/' + '334'\\n dic['precision'] = round(score[0], 3)\\n dic['Recall'] = round(score[1], 3)\\n dic['F(1) Score'] = round(((score[1] * score[0] / (score[1] + score[0])) * 2), 3)\\n dic['F(W) Score'] = round(score[2], 3)\\n dic['accuracy'] = round(accuracy_score(y_correct, y_predicted), 3)\\n stats.append(dic)\\n # Store stats in file\\n joblib.dump(stats, path + \\\"classification_results.txt\\\")\\n\\n print(\\\"Done\\\")\\n return stats\",\n \"def postprocess_docs(self, doc_scores, docs, input_strings, add_eos, prefix, print_docs=False):\\n\\n def cat_input_and_doc(doc_score, domain, entity_name, doc_title, doc_text, input_string, add_eos, prefix, print_docs=False):\\n # TODO(Patrick): if we train more RAG models, I want to put the input first to take advantage of effortless truncation\\n # TODO(piktus): better handling of truncation\\n if doc_title.startswith('\\\"'):\\n doc_title = doc_title[1:]\\n if doc_title.endswith('\\\"'):\\n doc_title = doc_title[:-1]\\n if prefix is None:\\n prefix = \\\"\\\"\\n if entity_name is None:\\n entity_name = \\\"*\\\"\\n suffix = self.generator_tokenizer.eos_token if add_eos else \\\"\\\"\\n out = (\\n prefix + domain + self.config.title_sep + entity_name + self.config.title_sep + doc_title + self.config.title_sep + doc_text + self.config.doc_sep + input_string + suffix\\n ).replace(\\\" \\\", \\\" \\\")\\n if print_docs:\\n logger.info(\\\"{} {}\\\".format(doc_score, out))\\n return out\\n\\n rag_input_strings = [\\n cat_input_and_doc(\\n doc_scores[i][j],\\n docs[i][j]['domain'],\\n docs[i][j]['entity_name'],\\n docs[i][j]['doc']['title'],\\n docs[i][j]['doc']['body'],\\n input_strings[i],\\n add_eos,\\n prefix,\\n print_docs,\\n )\\n for i in range(len(docs))\\n for j in range(self.n_docs)\\n ]\\n\\n contextualized_inputs = self.generator_tokenizer.batch_encode_plus(\\n rag_input_strings,\\n max_length=self.config.max_combined_length,\\n return_tensors=\\\"pt\\\",\\n padding=\\\"longest\\\",\\n truncation=False,\\n ).to(doc_scores.device)\\n\\n return contextualized_inputs[\\\"input_ids\\\"], contextualized_inputs[\\\"attention_mask\\\"]\",\n \"def expectation_step(self,number_of_topics):\\n createdDataMat = np.zeros([self.number_of_documents, number_of_topics, self.vocabulary_size], dtype=np.float)\\n print(\\\"E step:\\\")\\n\\t\\t#print(\\\"Initial value of createdDataMat >>>>>\\\"+createdDataMat)\\n \\n \\t\\n for docValue in range(0, self.number_of_documents):\\n for wordValue in range(0, self.vocabulary_size):\\n recordSum = 0\\n for topicValue in range(0, number_of_topics):\\n self.topic_prob[docValue][topicValue][wordValue] = (self.document_topic_prob[docValue][topicValue] * self.topic_word_prob[topicValue][wordValue])\\n recordSum = recordSum + self.topic_prob[docValue][topicValue][wordValue]\\n for topicValue in range(0, number_of_topics):\\n self.topic_prob[docValue][topicValue][wordValue] = self.topic_prob[docValue][topicValue][wordValue]/recordSum\",\n \"def preprocess_scores(scores):\\n\\tscores['user_assessment_date'] = pd.to_datetime(scores['user_assessment_date'])\\n\\tscores['user_assessment_age'] = pd.to_datetime(scores['user_assessment_date'].max() + pd.DateOffset(1)) - scores['user_assessment_date']\\n\\n\\t#converting Date to days\\n\\tscores['user_assessment_age'] = scores['user_assessment_age'].apply(lambda x: x.days)\\n\\n\\t#Decay factor\\n\\tscores['user_assessment_decay'] = 1/(scores['user_assessment_age']//30 + 1)\\n\\n\\tscores['user_assessment_decay'] = scores['user_assessment_score'] * scores['user_assessment_decay']\\n\\tscores_decay_scaler = MinMaxScaler()\\n\\tscores['user_assessment_decay'] = scores_decay_scaler.fit_transform(scores['user_assessment_decay'].values.reshape(-1,1))\\n\\tscores.drop(['user_assessment_date', 'user_assessment_score', 'user_assessment_age'], axis=1, inplace=True)\\n\\tscores_tags = scores.groupby(by='user_handle')['assessment_tag'].apply(list).reset_index()\\n\\tscores_decay = scores.groupby(by='user_handle')['user_assessment_decay'].apply(list).reset_index()\\n\\tscores_final = pd.merge(scores_tags, scores_decay, on='user_handle')\\n\\n\\tscores_final = scores_final.apply(expand_scores, axis=1)\\n\\tscores_final.fillna(value=0, inplace=True)\\n\\tscores_final.drop(['assessment_tag', 'user_assessment_decay'], axis=1, inplace=True)\\n\\treturn scores_final\",\n \"def _update(self, results):\\n logger = getLogger(\\\"problog_lfi\\\")\\n fact_body = defaultdict(int)\\n fact_par = defaultdict(int)\\n\\n score = 0.0\\n for m, pEvidence, result in results:\\n par_marg = dict()\\n for fact, value in result.items():\\n # use the id and the t variables as index\\n index = (fact.args[0], fact.args[1])\\n if fact.functor == \\\"lfi_body\\\":\\n fact_body[index] += value * m\\n elif fact.functor == \\\"lfi_par\\\":\\n if index in par_marg:\\n par_marg[index] += value\\n for o_index in self._adatomc[index[0]]:\\n par_marg[(o_index, *index[1:])] += value\\n else:\\n par_marg[index] = value\\n for o_index in self._adatomc[index[0]]:\\n par_marg[(o_index, *index[1:])] = value\\n\\n for index, value in par_marg.items():\\n fact_par[index] += value * m\\n try:\\n score += math.log(pEvidence)\\n except ValueError:\\n logger.debug(\\\"Pr(evidence) == 0.0\\\")\\n\\n update_list = fact_body\\n\\n weight_changed = []\\n for weight in self._weights:\\n if isinstance(weight, float):\\n weight_changed.append(False)\\n elif isinstance(weight, dict):\\n d = dict()\\n for w in weight:\\n d[w] = False\\n weight_changed.append(d)\\n\\n score = 0.0\\n for index in update_list:\\n if float(fact_body[index]) <= 10**-15:\\n # if close to zero\\n prob = 0.0\\n else:\\n prob = float(fact_body[index]) / float(fact_par[index])\\n try:\\n score += math.log(prob)\\n except ValueError as ex:\\n # prob too close to zero\\n pass\\n\\n logger.debug(\\n \\\"Update probabilistic fact {}: {} / {} = {}\\\".format(\\n index, fact_body[index], fact_par[index], prob\\n )\\n )\\n self._set_weight(index[0], index[1], prob, weight_changed=weight_changed)\\n if not index[1]:\\n weight_changed[int(index[0])] = True\\n elif (\\n isinstance(weight_changed[int(index[0])], dict)\\n and index[1] in weight_changed[int(index[0])]\\n ):\\n weight_changed[int(index[0])][index[1]] = True\\n else:\\n weight_changed[int(index[0])] = {index[1]: True}\\n\\n if self._enable_normalize:\\n self._normalize_weights()\\n\\n return score\",\n \"def rankDocuments(terms, docs, index, idf, tf, rt, likes, score):\\n \\n # init docvectors and queryvector to dict and array of 0, to be filled later\\n docVectors=collections.defaultdict(lambda: [0]*len(terms)) \\n queryVector=[0]*len(terms) \\n\\n if score == \\\"1\\\":\\n # compute the norm for the query tf\\n query_terms_count = collections.Counter(terms) # get the frequency of each term in the query. \\n \\n query_norm = np.linalg.norm(list(query_terms_count.values()))\\n \\n for termIndex, term in enumerate(terms): #termIndex is the index of the term in the query\\n if term not in index:\\n continue\\n \\n ## Compute tf*idf(normalize tf as done with documents)\\n queryVector[termIndex] = query_terms_count[term] / query_norm * idf[term]\\n\\n # Generate docVectors for matching docs\\n for docIndex, (doc, postings) in enumerate(index[term]):\\n # in form of [docIndex, (doc, postings)] \\n if doc in docs:\\n docVectors[doc][termIndex]=tf[term][docIndex] * idf[term]\\n # calculate the score of each doc\\n # compute the cosine similarity between queyVector and each docVector:\\n docScores=[ [np.dot(curDocVec, queryVector), doc] for doc, curDocVec in docVectors.items() ]\\n else:\\n # as we just want cosine similarity but not use tf-idf, we're using the term frequency as a weight\\n # in our custom ranking\\n # compute the norm for the query tf\\n query_terms_count = collections.Counter(terms) # get the frequency of each term in the query. \\n \\n query_norm = np.linalg.norm(list(query_terms_count.values()))\\n \\n for termIndex, term in enumerate(terms): #termIndex is the index of the term in the query\\n if term not in index:\\n continue\\n \\n ## Compute tf (normalize tf as done with documents)\\n queryVector[termIndex] = query_terms_count[term] / query_norm \\n\\n # Generate docVectors for matching docs\\n for docIndex, (doc, postings) in enumerate(index[term]):\\n # in form of [docIndex, (doc, postings)] \\n if doc in docs:\\n docVectors[doc][termIndex]=tf[term][docIndex]\\n # calculate the score of each doc\\n # compute the cosine similarity and add rt and fav score\\n # rt brings to more visibility than a like, hence a higher score\\n docScores=[ [np.dot(curDocVec, queryVector) + 1.5*rt[doc] + likes[doc], doc] for doc, curDocVec in docVectors.items() ]\\n docScores.sort(reverse=True)\\n resultDocs=[x[1] for x in docScores]\\n if len(resultDocs) == 0:\\n print(\\\"No results found, try again\\\")\\n return None \\n return resultDocs\",\n \"def finalize_total_energy(self, pose, sfxn, emap):\\n\\t\\tpose = pose ## for newer versions remove line\\n\\t\\te_val = 0\\n\\t\\tfor segment_idx in range(len(segment_break_list)):\\n\\t\\t\\tr_xyz = np.zeros([int(scaling_info_holder[segment_idx][4]), 3])\\n\\t\\t\\trg_sq = np.zeros([int(scaling_info_holder[segment_idx][4]), 1])\\n\\t\\t\\tstart_res = 1\\n\\t\\t\\tif segment_idx > 0:\\n\\t\\t\\t\\tstart_res = segment_break_list[segment_idx-1][0] + 1\\n\\t\\t\\tend_res = segment_break_list[segment_idx][0] + 1\\n\\t\\t\\tfor res_num in range(start_res, end_res, 1):\\n\\t\\t\\t\\tfor res_xyz in range(len(r_xyz[0])):\\n\\t\\t\\t\\t\\tr_xyz[res_num-start_res][res_xyz] = pose.residue(res_num).nbr_atom_xyz()[res_xyz]\\n\\t\\t\\tr_cen_mass = np.average(r_xyz, axis=0)\\n\\t\\t\\tfor res_num in range(len(r_xyz)):\\n\\t\\t\\t\\trg_sq[res_num] = (np.linalg.norm(r_xyz[res_num] - r_cen_mass))**2\\n\\t\\t\\trg_val = np.sqrt(np.average(rg_sq))\\n\\t\\t\\trg_sf_term_potential = rg_sf_term_potential_list[segment_idx]\\n\\t\\t\\te_val = e_val + float(rg_sf_term_potential(rg_val))\\n\\t\\temap.set(self.scoreType, e_val) ## for newer versions remove .get()\",\n \"def performance(stats):\\n\\n def fbeta_score(precision, recall, beta=1.0):\\n beta_square = beta * beta\\n if (precision != 0.0) and (recall != 0.0):\\n res = ((1 + beta_square) * precision * recall / (beta_square * precision + recall))\\n else:\\n res = 0.0\\n return res\\n\\n def prf1(tp_, fp_, fn_, tn_):\\n # 单类的\\n tp_ = np.sum(tp_, axis=0) #batch*=》\\n fp_ = np.sum(fp_, axis=0)\\n fn_ = np.sum(fn_, axis=0)\\n tn_ = np.sum(tn_, axis=0)\\n # 总体的\\n atp = np.sum(tp_)\\n afp = np.sum(fp_)\\n afn = np.sum(fn_)\\n atn = np.sum(tn_)\\n\\n micro_p = (1.0 * atp) / (atp + afp) if (atp + afp != 0) else 0.0\\n micro_r = (1.0 * atp) / (atp + afn) if (atp + afn != 0) else 0.0\\n micro_f = fbeta_score(micro_p, micro_r)\\n\\n pp = [0]\\n rr = [0]\\n ff = [0]\\n macro_p = np.mean(pp)\\n macro_r = np.mean(rr)\\n macro_f = np.mean(ff)\\n\\n acc = (atp + atn) / (atp + atn + afp + afn) if (atp + atn + afp + afn) else 0.0\\n acc_NA = atn / (atn + afp) if (atn + afp) else 0.0\\n acc_not_NA = atp / (atp + afn) if (atp + afn) else 0.0\\n return {'acc': acc, 'NA_acc': acc_NA, 'not_NA_acc': acc_not_NA,\\n 'micro_p': micro_p, 'micro_r': micro_r, 'micro_f': micro_f,\\n 'macro_p': macro_p, 'macro_r': macro_r, 'macro_f': macro_f,\\n 'tp': atp, 'true': atp + afn, 'pred': atp + afp, 'total': (atp + atn + afp + afn)}\\n\\n fin_loss = sum(stats['loss']) / len(stats['loss'])\\n scores = prf1(stats['tp'], stats['fp'], stats['fn'], stats['tn'])\\n return fin_loss, scores\",\n \"def compute_doc_scores(self, query_terms, inverted_indexes,\\n doc_lengths, parameters):\\n \\n doc_scores = dict() # This is to contain each document's score\\n for term in query_terms: # For each query term ...\\n \\n # Retrieve information regarding the current term\\n term_info = inverted_indexes[term]\\n n_docs_containing_term = len(term_info)\\n \\n # For each document that contains the term ...\\n for cord_uid in term_info.keys():\\n tf = term_info[cord_uid] # Retrieve the term frequency\\n doc_length = doc_lengths[cord_uid] # Retrieve the document length\\n \\n # Compute document's score for this term\\n score = self.compute_term_BM25(term, tf, n_docs_containing_term,\\n Constants.doc_count,\\n Constants.avg_doc_length, doc_length,\\n parameters.k, parameters.b)\\n \\n # Store or increment the score\\n if cord_uid in doc_scores:\\n doc_scores[cord_uid] += score\\n else:\\n doc_scores[cord_uid] = score\\n \\n return doc_scores\",\n \"def calculateSD():\\r\\n evaluationSum, activitySum, potencySum = 0, 0, 0 #creates the variables that store the running sums of evaluation, activity and potency respectively\\r\\n arrayOfDictionaries = prepareSemanticDifferential() #reads the EPA values from the Osgood wordlist, and fills a dictionary with them. This is how the script knows to rate the EPA values of following text files.\\r\\n \\r\\n #This is the portion of the program that accepts new text files\\r\\n \\r\\n speech = readFile('PoliticalSpeech.txt') #stores obama's speech to a variable called speech, using the readFile method\\r\\n speechArray = getWords(speech) #turns that paragraph into an array with an index for each word, by calling the getWords method\\r\\n speechArrayClean = cleanWords(speechArray) #uses the cleanWords method to remove punctuation and make it case insensitive\\r\\n \\r\\n #turns the Osgood wordlist into a list of all the words, without their values, to be used as a check for whether the word in the speechArrayClean list is in the Osgood Wordlist\\r\\n possibleWords = []\\r\\n for i in range(len(arrayOfDictionaries)):\\r\\n whichDictionary = arrayOfDictionaries[i]\\r\\n possibleWords.append(whichDictionary['word'])\\r\\n \\r\\n #Iterates through the osgood wordlist. If the word from the wordlist is in the speech, add that words EPA values to the running counters\\r\\n for word in range(len(possibleWords)): #goes through the array that just holds the words from the Osgood wordlist\\r\\n currentDictionary = arrayOfDictionaries[word] #stores which dictioary in the wordlist we're using in this iteration, which is to say which word we are checking for and the values it holds\\r\\n if findPOS(currentDictionary['word']) == \\\"ADJECTIVE\\\" or findPOS(currentDictionary['word']) == \\\"ADVERB\\\":\\r\\n if currentDictionary['word'] in speechArrayClean:\\r\\n #if the word is an adj/adv and is in the speech, it's EPA values are added to the counters\\r\\n evaluationSum+=currentDictionary['evaluation']\\r\\n activitySum+=currentDictionary['activity']\\r\\n potencySum+=currentDictionary['potency']\\r\\n print(f\\\"The evaluation sum of the text file is: {evaluationSum}, the activity sum of the text file is: {activitySum}, The Potency sum of the text file is: {potencySum}\\\")\",\n \"def score(self, doc, c):\\n # >>> YOUR ANSWER HERE\\n # the inner loop in the TEST NAIVE BAYES, sum up the logprior of the class and all words' loglikelihood\\n sum = self.logprior[c]\\n words = doc.split()\\n for w in words:\\n if w in self.vocabulary:\\n sum += self.loglikelihood[(w, c)]\\n return sum\\n # >>> END YOUR ANSWER\",\n \"def tf_idf_score():\\n\\n global final_doc_set\\n global final_dictionary\\n final_score = []\\n\\n for doc_id in final_doc_set:\\n score = 0\\n for query_term in final_dictionary.keys():\\n if final_dictionary[query_term][1].get(doc_id):\\n tf = final_dictionary[query_term][1][doc_id][0]\\n df = final_dictionary[query_term][0]\\n\\n score += ((1 + log10(tf)) * log10(TOTAL_DOCS / df))\\n\\n final_score.append([doc_id, score])\\n\\n return final_score\",\n \"def postNormBySetE(inputRunMatrix, setEScores, ms1FileList):\\n\\text = \\\"_ms1Peak.txt\\\"\\n\\t# currently assumes that post norm value is found in 4th column of file\\n\\twith open(setEScores,'r') as normFile:\\n\\t\\tfor line1 in normFile:\\n\\t\\t\\tline1_sp = line1.strip().split('\\\\t')\\n\\n\\t\\t\\tcurFile = line1_sp[0]\\n\\t\\t\\tcurFile_sp = curFile.split(\\\"___\\\")\\n\\n\\t\\t\\tleftFile = curFile_sp[0]\\n\\t\\t\\trightFile = curFile_sp[1]\\n\\n\\t\\t\\tleftFileIndex = ms1FileList.index(leftFile)\\n\\t\\t\\trightFileIndex = ms1FileList.index(rightFile)\\n\\t\\t\\t\\n\\t\\t\\tnormVal = float(line1_sp[3])\\n\\n\\t\\t\\tif leftFileIndex == rightFileIndex:\\n\\t\\t\\t\\tinputRunMatrix[leftFileIndex][rightFileIndex] = \\\\\\n\\t\\t\\t\\tinputRunMatrix[leftFileIndex][rightFileIndex] * normVal\\n\\t\\t\\telse:\\n\\t\\t\\t\\tinputRunMatrix[leftFileIndex][rightFileIndex] = \\\\\\n\\t\\t\\t\\tinputRunMatrix[leftFileIndex][rightFileIndex] * normVal\\n\\n\\t\\t\\t\\tinputRunMatrix[rightFileIndex][leftFileIndex] = \\\\\\n\\t\\t\\t\\tinputRunMatrix[rightFileIndex][leftFileIndex] * normVal\",\n \"def record_em_score(record_examples: List[RecordNestedExample]):\\n if not record_examples:\\n return 0.\\n em_scores = []\\n for example in record_examples:\\n example_ems = []\\n for answer in example.answers:\\n example_ems.append(string_f1_score(example.prediction, answer))\\n if example_ems:\\n em_scores.append(max(example_ems))\\n return np.mean(em_scores) if em_scores else -1\",\n \"def evaluate_model():\\n\\n # Get the processed data (in proper format to evaluate the NER model)\\n data = get_json_from_file_path(PROCESSED_DATA_PATH)\\n # Split the dataset for training and test as we did for training\\n train_data, test_data = train_test_split(data, train_size=0.7, \\n random_state=4)\\n\\n # Load the model trained\\n try:\\n ner_model = spacy.load(OUTPUT_MODEL_PATH)\\n except Exception as err:\\n msg = f'Could not load the model. Error: {err}'\\n raise Exception(msg)\\n\\n # Compute evaluation scores\\n print('Computing metrics...')\\n scores = evaluate(ner_model, test_data)\\n # General metrics of the model\\n f_score = scores.get('ents_f')\\n precision = scores.get('ents_p')\\n recall = scores.get('ents_r')\\n print('\\\\nScoring:')\\n print(f'F-score: {f_score}')\\n print(f'Precision: {precision}')\\n print(f'Recall: {recall}')\\n\\n # Get the specific scores for each entity \\n scores_per_entity = scores.get('ents_per_type')\\n # Get the F-score of the entities\\n f_scores_of_entities = []\\n for entity_scores in scores_per_entity.values():\\n f_scores_of_entities.append(entity_scores['f'])\\n # Compute the macro averaged F-score\\n macro_avg_f_score = sum(f_scores_of_entities)/len(f_scores_of_entities)\\n print(f'Macro averaged F-score: {macro_avg_f_score}')\\n \\n print('\\\\nScores per entity;')\\n print('{:<15} {:<10} {:<10} {:<10}'.format('Entity','F-score','Precision','Recall'))\\n for key, value in scores_per_entity.items():\\n entity = key\\n f, p, r = value['f'], value['p'], value['r']\\n print('{:<15} {:<10.2f} {:<10.2f} {:<10.2f}'.format(entity, f, p, r))\",\n \"def _doc_update(gammad, beta_ixw, alpha, tol=1e-2, eta_ixw=None):\\n # TODO: this method should see only what it should see!\\n \\n # index to the words appearing in the document\\n \\n K, N = beta_ixw.shape\\n \\n phi = np.zeros((K, N), dtype=float) + 1./K # only appearing words get a phi\\n\\n # store the previous values for convergence check\\n phi_prev = phi.copy()\\n gammad_prev = gammad.copy()\\n \\n # calculate bounds\\n bound = -float(\\\"inf\\\")\\n bound_prev = _doc_lowerbound(phi, gammad, beta_ixw, alpha)\\n\\n for ctr in xrange(200):\\n # update phi\\n # WARN: exp digamma underflows < 1e-3!\\n # TODO: carry this to the log domain?\\n log_mult = np.log(beta_ixw.T)\\n if eta_ixw is not None: \\n log_mult += np.log(eta_ixw.T)\\n \\n logphi = (log_mult + spec.digamma(gammad)).T\\n logphi -= logsumexp(logphi, 0)\\n phi = np.exp(logphi) + 1e-50 # normalize phi columns\\n\\n # update gamma\\n gammad = alpha + np.sum(phi, axis=1)\\n\\n if ctr % 20 == 0: # check convergence\\n bound = _doc_lowerbound(phi, gammad, beta_ixw, alpha, eta_ixw)\\n if bound - bound_prev < tol:\\n break\\n bound_prev = bound\\n\\n bound = _doc_lowerbound(phi, gammad, beta_ixw, alpha)\\n log_w = _doc_probability(gammad, beta_ixw, eta_ixw)\\n return log_w, bound, gammad, phi\",\n \"def evaluate(self, xml_gold_path, xml_output_path):\\n\\n # Go through all files in xml_gold_path directory\\n for file in os.listdir(xml_gold_path):\\n\\n # Set path to file\\n file = xml_gold_path+file\\n\\n # Open files only, ignore subdirectories\\n if os.path.isfile(file) and file.lower().endswith('.xml'):\\n\\n # Open xml files\\n chapter_input_gold = open(file, 'r', encoding='utf8')\\n chapter_input_test = open(xml_output_path+os.path.split(file)[-1], 'r', encoding='utf8')\\n\\n # Check if filenams are the same\\n chapter_input_gold_name = os.path.split(chapter_input_gold.name)[-1]\\n chapter_input_test_name = os.path.split(chapter_input_test.name)[-1]\\n\\n if chapter_input_gold_name == chapter_input_test_name:\\n\\n # Console log\\n chapter_input_gold_name = chapter_input_gold.name\\n chapter_input_test_name = chapter_input_test.name\\n #print('Calculating score for: ' + chapter_input_gold_name + ' and: ' + chapter_input_test_name)\\n\\n # Process xml input file with BeautifulSoup\\n chapter_input_gold = BeautifulSoup(chapter_input_gold, 'xml')\\n chapter_input_test = BeautifulSoup(chapter_input_test, 'xml')\\n\\n # Empty variables for collecting Target scores\\n target_precision_scores = 0\\n target_recall_scores = 0\\n target_f1_scores = 0\\n target_jaccard_scores = 0\\n\\n # Empty variables for collecting Focus scores\\n focus_precision_scores = 0\\n focus_recall_scores = 0\\n focus_f1_scores = 0\\n focus_jaccard_scores = 0\\n\\n # Empty variables for collecting Negated scores\\n negated_precision_scores = 0\\n negated_recall_scores = 0\\n negated_f1_scores = 0\\n negated_jaccard_scores = 0\\n\\n # Empty variables for collecting Scope scores\\n scope_precision_scores = 0\\n scope_recall_scores = 0\\n scope_f1_scores = 0\\n scope_jaccard_scores = 0\\n\\n # Count sentences and frames\\n sentence_count = 0\\n gold_frames_count = 0\\n test_frames_count = 0\\n\\n scope_gold_frames_count = 0\\n #scope_test_frames_count = 0\\n\\n # Find all Gold and Test Sentences\\n sentences_gold = chapter_input_gold.find_all('s')\\n sentences_test = chapter_input_test.find_all('s')\\n\\n #targets_gold = chapter_input_gold.find_all('target')\\n #targets_test = chapter_input_test.find_all('target')\\n\\n scope_gold_frames = chapter_input_gold.find_all('fe', {'name' : SCOPE_TAG_NAME})\\n scope_gold_frames_count = len(scope_gold_frames)\\n\\n scope_test_frames = chapter_input_test.find_all('fe', {'name' : SCOPE_TAG_NAME})\\n scope_test_frames_count = len(scope_test_frames)\\n\\n # Exit if number of sentences != between Gold and Test files\\n if len(sentences_gold) != len(sentences_test):\\n raise SystemExit(print('Number of sentences between Gold and Test files does not match.\\\\nGold:',\\n len(sentences_gold), 'Test:', len(sentences_test)))\\n\\n # Zip Gold and Test Sentences\\n for s_gold, s_test in zip(sentences_gold, sentences_test):\\n\\n sentence_count = sentence_count + 1\\n\\n gold_frames = s_gold.find_all('frame', {'name' : NEGATION_FRAME_NAME})\\n test_frames = s_test.find_all('frame', {'name' : NEGATION_FRAME_NAME})\\n\\n gold_frames_count = gold_frames_count + len(gold_frames)\\n test_frames_count = test_frames_count + len(test_frames)\\n\\n for item in zip(gold_frames, test_frames):\\n\\n #print('\\\\n=========')\\n #print('\\\\nFrame:', item[0].get('id'))\\n\\n target_gold_list = []\\n target_test_list = []\\n\\n focus_gold_list = []\\n focus_test_list = []\\n\\n negated_gold_list = []\\n negated_test_list = []\\n\\n scope_gold_list = []\\n scope_test_list = []\\n\\n # Flatten a nested list of fenodes\\n def flatten(nested_list):\\n \\\"\\\"\\\" Flatten a nested list of fenodes \\\"\\\"\\\"\\n t_l = []\\n for i in nested_list:\\n if not isinstance(i, list):\\n t_l.append(i)\\n else:\\n t_l.extend(flatten(i))\\n return t_l\\n\\n # Target\\n if item[0].find('target'):\\n target_gold = item[0].find('target')\\n target_gold_fenode_id = target_gold.find('fenode').get('idref')\\n target_gold_word = s_gold.find(id=target_gold_fenode_id).get('word').lower()\\n\\n try:\\n target_test = item[1].find('target')\\n target_test_fenode__id = target_test.find('fenode').get('idref')\\n target_test_word = s_test.find(id=target_test_fenode__id).get('word').lower()\\n except:\\n target_test_word = ''\\n\\n elif item[1].find('target'):\\n target_test = item[1].find('target')\\n target_test_fenode__id = target_test.find('fenode').get('idref')\\n target_test_word = s_test.find(id=target_test_fenode__id).get('word').lower()\\n\\n try:\\n target_gold = item[0].find('target')\\n target_gold_fenode_id = target_gold.find('fenode').get('idref')\\n target_gold_word = s_gold.find(id=target_gold_fenode_id).get('word').lower()\\n except:\\n target_gold_word = ''\\n\\n target_gold_list.append(target_gold_word)\\n target_test_list.append(target_test_word)\\n\\n # Sort lists\\n sorted_target_gold_list = sorted(flatten(target_gold_list))\\n sorted_target_test_list = sorted(flatten(target_test_list))\\n\\n #print('\\\\nTarget [Gold]:', sorted_target_gold_list)\\n #print('Target [Test]:', sorted_target_test_list)\\n\\n\\n # Focus\\n if item[0].find('fe', {'name' : FOCUS_TAG_NAME}):\\n focus_gold = item[0].find('fe', {'name' : FOCUS_TAG_NAME})\\n try:\\n focus_gold_fenode_id = focus_gold.find('fenode').get('idref')\\n focus_gold_word = s_gold.find(id=focus_gold_fenode_id).get('word').lower()\\n except:\\n focus_gold_word = ''\\n if item[1].find('fe', {'name' : FOCUS_TAG_NAME}):\\n focus_test = item[1].find('fe', {'name' : FOCUS_TAG_NAME})\\n try:\\n focus_test_fenode_id = focus_test.find('fenode').get('idref')\\n focus_test_word = s_test.find(id=focus_test_fenode_id).get('word').lower()\\n except:\\n focus_test_word = ''\\n else:\\n focus_test_word = ''\\n\\n elif item[1].find('fe', {'name' : FOCUS_TAG_NAME}):\\n focus_test = item[1].find('fe', {'name' : FOCUS_TAG_NAME})\\n try:\\n focus_test_fenode_id = focus_test.find('fenode').get('idref')\\n focus_test_word = s_test.find(id=focus_test_fenode_id).get('word').lower()\\n except:\\n focus_test_word = ''\\n if item[0].find('fe', {'name' : FOCUS_TAG_NAME}):\\n focus_gold = item[0].find('fe', {'name' : FOCUS_TAG_NAME})\\n focus_gold_fenode_id = focus_gold.find('fenode').get('idref')\\n try:\\n focus_gold_word = s_gold.find(id=focus_gold_fenode_id).get('word').lower()\\n except AttributeError:\\n focus_gold_word = ''\\n else:\\n focus_gold_word = ''\\n\\n focus_gold_list.append(focus_gold_word)\\n focus_test_list.append(focus_test_word)\\n\\n # Sort lists\\n sorted_focus_gold_list = sorted(flatten(focus_gold_list))\\n sorted_focus_test_list = sorted(flatten(focus_test_list))\\n\\n #print('\\\\nFocus [Gold]:', sorted_focus_gold_list)\\n #print('Focus [Test]:', sorted_focus_test_list)\\n\\n\\n # Negated\\n if item[0].find('fe', {'name' : NEGATED_TAG_NAME}):\\n negated_gold = item[0].find('fe', {'name' : NEGATED_TAG_NAME})\\n negated_gold_fenode_id = negated_gold.find('fenode').get('idref')\\n try:\\n negated_gold_word = s_gold.find(id=negated_gold_fenode_id).get('word').lower()\\n except AttributeError:\\n negated_gold_word = ''\\n if item[1].find('fe', {'name' : NEGATED_TAG_NAME}):\\n negated_test = item[1].find('fe', {'name' : NEGATED_TAG_NAME})\\n try:\\n negated_test_fenode_id = negated_test.find('fenode').get('idref')\\n negated_test_word = s_test.find(id=negated_test_fenode_id).get('word').lower()\\n except:\\n negated_test_word = ''\\n else:\\n negated_test_word = ''\\n\\n elif item[1].find('fe', {'name' : NEGATED_TAG_NAME}):\\n negated_test = item[1].find('fe', {'name' : NEGATED_TAG_NAME})\\n try:\\n negated_test_fenode_id = negated_test.find('fenode').get('idref')\\n negated_test_word = s_test.find(id=negated_test_fenode_id).get('word').lower()\\n except:\\n negated_test_word = ''\\n if item[0].find('fe', {'name' : NEGATED_TAG_NAME}):\\n negated_gold = item[0].find('fe', {'name' : NEGATED_TAG_NAME})\\n negated_gold_fenode_id = negated_gold.find('fenode').get('idref')\\n try:\\n negated_gold_word = s_gold.find(id=negated_gold_fenode_id).get('word').lower()\\n except AttributeError:\\n negated_gold_word = ''\\n else:\\n negated_gold_word = ''\\n else:\\n negated_test_word = ''\\n negated_gold_word = ''\\n\\n negated_gold_list.append(negated_gold_word)\\n negated_test_list.append(negated_test_word)\\n\\n # Sort lists\\n sorted_negated_gold_list = sorted(flatten(negated_gold_list))\\n sorted_negated_test_list = sorted(flatten(negated_test_list))\\n\\n #print('\\\\nNegated [Gold]:', sorted_negated_gold_list)\\n #print('Negated [Test]:', sorted_negated_test_list)\\n\\n\\n # Resolve Terminals if Scope on a complex graph\\n def resolve_non_terminals(idref):\\n \\\"\\\"\\\" This function resolves a complex gold graph to\\n a simple flat list of tokens.\\n \\\"\\\"\\\"\\n nonterminal = s_gold.find(id=idref)\\n edges = nonterminal.find_all('edge')\\n edge_words = []\\n for edge in edges:\\n e_id = edge.get('idref')\\n if s_gold.find(id=e_id).get('word') is not None:\\n try:\\n edge_word = s_gold.find(id=e_id).get('word').lower()\\n edge_words.append(edge_word)\\n except:\\n pass\\n if s_gold.find(id=e_id).get('word') is None:\\n edge_words.append(resolve_non_terminals(e_id))\\n\\n return edge_words\\n\\n def resolve_non_terminals_test(idref):\\n \\\"\\\"\\\" This function resolves a complex test graph to\\n a simple flat list of tokens.\\n \\\"\\\"\\\"\\n nonterminal = s_test.find(id=idref)\\n edges = nonterminal.find_all('edge')\\n edge_words = []\\n for edge in edges:\\n e_id = edge.get('idref')\\n if s_test.find(id=e_id).get('word') is not None:\\n try:\\n edge_word = s_test.find(id=e_id).get('word').lower()\\n edge_words.append(edge_word)\\n except:\\n pass\\n if s_test.find(id=e_id).get('word') is None:\\n edge_words.append(resolve_non_terminals(e_id))\\n\\n return edge_words\\n\\n # Scope\\n if item[0].find('fe', {'name' : SCOPE_TAG_NAME}):\\n scope_gold = item[0].find('fe', {'name' : SCOPE_TAG_NAME})\\n scope_gold_fenodes = scope_gold.find_all('fenode')\\n for s_g in scope_gold_fenodes:\\n s_id = s_g.get('idref')\\n if s_gold.find(id=s_id).get('word') is not None:\\n try:\\n scope_word = s_gold.find(id=s_id).get('word').lower()\\n scope_gold_list.append(scope_word)\\n except:\\n pass\\n if s_gold.find(id=s_id).get('word') is None:\\n scope_gold_list.append(resolve_non_terminals(s_id))\\n else:\\n pass\\n\\n if item[1].find('fe', {'name' : SCOPE_TAG_NAME}):\\n scope_test = item[1].find('fe', {'name' : SCOPE_TAG_NAME})\\n scope_test_fenodes = scope_test.find_all('fenode')\\n for s_t in scope_test_fenodes:\\n s_id = s_t.get('idref')\\n if s_test.find(id=s_id).get('word') is not None:\\n try:\\n scope_word = s_test.find(id=s_id).get('word').lower()\\n scope_test_list.append(scope_word)\\n except:\\n pass\\n elif s_test.find(id=s_id).get('word') is None:\\n scope_test_list.append(resolve_non_terminals_test(s_id))\\n else:\\n scope_test_list.append('')\\n\\n elif item[1].find('fe', {'name' : SCOPE_TAG_NAME}):\\n scope_test = item[1].find('fe', {'name' : SCOPE_TAG_NAME})\\n scope_test_fenodes = scope_test.find_all('fenode')\\n for s_t in scope_test_fenodes:\\n s_id = s_t.get('idref')\\n if s_test.find(id=s_id).get('word') is not None:\\n try:\\n scope_word = s_test.find(id=s_id).get('word').lower()\\n scope_test_list.append(scope_word)\\n except:\\n pass\\n if s_test.find(id=s_id).get('word') is None:\\n scope_test_list.append(resolve_non_terminals_test(s_id))\\n else:\\n pass\\n\\n if item[0].find('fe', {'name' : SCOPE_TAG_NAME}):\\n scope_gold = item[1].find('fe', {'name' : SCOPE_TAG_NAME})\\n scope_gold_fenodes = scope_gold.find_all('fenode')\\n for s_g in scope_gold_fenodes:\\n s_id = s_g.get('idref')\\n if s_gold.find(id=s_id).get('word') is not None:\\n try:\\n scope_word = s_gold.find(id=s_id).get('word').lower()\\n scope_gold_list.append(scope_word)\\n except:\\n pass\\n if s_gold.find(id=s_id).get('word') is None:\\n scope_gold_list.append(resolve_non_terminals(s_id))\\n else:\\n pass\\n else:\\n scope_gold_list.append('')\\n\\n # Sort lists\\n sorted_scope_gold_list = sorted(flatten(scope_gold_list))\\n sorted_scope_test_list = sorted(flatten(scope_test_list))\\n\\n #print('\\\\nScope [Gold]:', sorted_scope_gold_list)\\n #print('Scope [Test]:', sorted_scope_test_list)\\n\\n # If lists are same length, check if items are same\\n if len(sorted_scope_gold_list) == len(sorted_scope_test_list):\\n sorted_scope_test_list_intersection = set(sorted_scope_gold_list).intersection(sorted_scope_test_list)\\n sorted_scope_test_list_intersection = list(sorted_scope_test_list_intersection)\\n if len(sorted_scope_test_list_intersection) < len(sorted_scope_test_list):\\n difference = len(sorted_scope_test_list) - len(sorted_scope_test_list_intersection)\\n empty_element = 0\\n\\n while empty_element < difference:\\n sorted_scope_test_list_intersection.append('')\\n empty_element = empty_element + 1\\n \\n sorted_scope_test_list = sorted_scope_test_list_intersection\\n\\n # If lists are different lengths, add empty elements\\n elif len(sorted_scope_gold_list) > len(sorted_scope_test_list):\\n difference = len(sorted_scope_gold_list) - len(sorted_scope_test_list)\\n empty_element = 0\\n\\n while empty_element < difference:\\n sorted_scope_test_list.append('')\\n empty_element = empty_element + 1\\n\\n elif len(sorted_scope_test_list) > len(sorted_scope_gold_list):\\n difference = len(sorted_scope_test_list) - len(sorted_scope_gold_list)\\n empty_element = 0\\n\\n while empty_element < difference:\\n sorted_scope_gold_list.append('')\\n empty_element = empty_element + 1\\n\\n\\n # Align items in the lists for sklearn, set 1 for matched items, else set 0\\n sorted_target_gold_list_normalized = [1 if element in sorted_target_gold_list and not element == \\\"\\\" else 0 for element in sorted_target_gold_list]\\n sorted_target_test_list_normalized = [1 if element in sorted_target_gold_list else 0 for element in sorted_target_test_list]\\n\\n sorted_focus_gold_list_normalized = [1 if element in sorted_focus_gold_list and not element == \\\"\\\" else 0 for element in sorted_focus_gold_list]\\n sorted_focus_test_list_normalized = [1 if element in sorted_focus_gold_list else 0 for element in sorted_focus_test_list]\\n\\n sorted_negated_gold_list_normalized = [1 if element in sorted_negated_gold_list and not element == \\\"\\\" else 0 for element in sorted_negated_gold_list]\\n sorted_negated_test_list_normalized = [1 if element in sorted_negated_gold_list else 0 for element in sorted_negated_test_list]\\n\\n sorted_scope_gold_list_normalized = [1 if element in sorted_scope_gold_list and not element == \\\"\\\" else 0 for element in sorted_scope_gold_list]\\n sorted_scope_test_list_normalized = [1 if element in sorted_scope_gold_list else 1 if not element == \\\"\\\" else 0 for element in sorted_scope_test_list]\\n\\n #print(sorted_scope_gold_list_normalized)\\n #print(sorted_scope_test_list_normalized)\\n\\n\\n # Sklearn calculations\\n #target_precision_scores = target_precision_scores + precision_score(sorted_target_gold_list_normalized, sorted_target_test_list_normalized, average='weighted')\\n #target_recall_scores = target_recall_scores + recall_score(sorted_target_gold_list_normalized, sorted_target_test_list_normalized, average='weighted')\\n target_f1_scores = target_f1_scores + f1_score(sorted_target_gold_list_normalized, sorted_target_test_list_normalized, average='weighted')\\n #target_jaccard_scores = target_jaccard_scores + jaccard_similarity_score(sorted_target_gold_list, sorted_target_test_list)\\n\\n #focus_precision_scores = focus_precision_scores + precision_score(sorted_focus_gold_list_normalized, sorted_focus_test_list_normalized, average='weighted')\\n #focus_recall_scores = focus_recall_scores + recall_score(sorted_focus_gold_list_normalized, sorted_focus_test_list_normalized, average='weighted')\\n focus_f1_scores = focus_f1_scores + f1_score(sorted_focus_gold_list_normalized, sorted_focus_test_list_normalized, average='weighted')\\n #focus_jaccard_scores = focus_jaccard_scores + jaccard_similarity_score(sorted_focus_gold_list, sorted_focus_test_list)\\n\\n #negated_precision_scores = negated_precision_scores + precision_score(sorted_negated_gold_list_normalized, sorted_negated_test_list_normalized, average='weighted')\\n #negated_recall_scores = negated_recall_scores + recall_score(sorted_negated_gold_list_normalized, sorted_negated_test_list_normalized, average='weighted')\\n negated_f1_scores = negated_f1_scores + f1_score(sorted_negated_gold_list_normalized, sorted_negated_test_list_normalized, average='weighted')\\n #negated_jaccard_scores = negated_jaccard_scores + jaccard_similarity_score(sorted_negated_gold_list, sorted_negated_test_list)\\n\\n scope_precision_scores = scope_precision_scores + precision_score(sorted_scope_gold_list_normalized, sorted_scope_test_list_normalized, average='weighted')\\n scope_recall_scores = scope_recall_scores + recall_score(sorted_scope_gold_list_normalized, sorted_scope_test_list_normalized, average='weighted')\\n scope_f1_scores = scope_f1_scores + f1_score(sorted_scope_gold_list_normalized, sorted_scope_test_list_normalized, average='weighted')\\n scope_jaccard_scores = scope_jaccard_scores + jaccard_similarity_score(sorted_scope_gold_list, sorted_scope_test_list)\\n\\n\\n print('\\\\n=============================')\\n print('====== EVALUATION for:', chapter_input_test_name, '======')\\n print('Total Sentences:', sentence_count,\\n '\\\\nNegation Gold frames:', gold_frames_count,\\n '\\\\nNegation Test frames:', test_frames_count, '\\\\n')\\n\\n print('----- CUEWORDS -----')\\n #print('Precision:\\\\t', target_precision_scores / gold_frames_count)\\n #print('Recall:\\\\t', target_recall_scores / gold_frames_count)\\n print('F1 score:\\\\t', target_f1_scores / gold_frames_count)\\n #print('Jaccard similarity:\\\\t', target_jaccard_scores / gold_frames_count)\\n\\n print('\\\\n----- FOCUS -----')\\n #print('Precision:\\\\t', focus_precision_scores / gold_frames_count)\\n #print('Recall:\\\\t', focus_recall_scores / gold_frames_count)\\n print('F1 score:\\\\t', focus_f1_scores / gold_frames_count)\\n #print('Jaccard similarity:\\\\t', focus_jaccard_scores / gold_frames_count)\\n\\n print('\\\\n----- NEGATED -----')\\n #print('Precision:\\\\t', negated_precision_scores / gold_frames_count)\\n #print('Recall:\\\\t', negated_recall_scores / gold_frames_count)\\n print('F1 score:\\\\t', negated_f1_scores / gold_frames_count)\\n #print('Jaccard similarity:\\\\t', negated_jaccard_scores / gold_frames_count)\\n\\n print('\\\\n----- SCOPE -----\\\\nScope Gold frames:', scope_gold_frames_count, '\\\\nScope Test frames:', scope_test_frames_count, '\\\\n')\\n print('Precision:\\\\t', scope_precision_scores / scope_test_frames_count)\\n print('Recall:\\\\t', scope_recall_scores / scope_test_frames_count)\\n print('F1 score:\\\\t', scope_f1_scores / scope_test_frames_count)\\n print('Jaccard similarity:\\\\t', scope_jaccard_scores / scope_test_frames_count)\\n\\n print('Done!')\",\n \"def learn_distributions(file_lists_by_category):\\n ### TODO: Write your code here\\n\\n #get word frequncies in each email category\\n #key:word, value: number of occurences in this email loader\\n spam_dict = util.get_word_freq(file_lists_by_category[0])\\n ham_dict = util.get_word_freq(file_lists_by_category[1])\\n\\n #get total length of each email loader\\n spam_length = sum(spam_dict.values())\\n ham_length = sum(ham_dict.values())\\n\\n #get the length of the dictionary: D\\n dict_D = util.Counter()\\n for key in spam_dict:\\n dict_D[key] += spam_dict[key]\\n for key in ham_dict:\\n dict_D[key] += ham_dict[key]\\n D = len(dict_D)\\n\\n spam_distribution = {}\\n ham_distribution = {}\\n #get the distributions of two email loaders\\n for i in dict_D:\\n spam_distribution[i] = (spam_dict[i] + 1) / (D + spam_length)\\n\\n for i in dict_D:\\n ham_distribution[i] = (ham_dict[i] + 1) / (D + ham_length)\\n #create the required tuple\\n probabilities_by_category = (spam_distribution, ham_distribution)\\n return probabilities_by_category\",\n \"def _compute_normalised_scores(self):\\n\\n results = self.snapshot['results']\\n assg = AssignmentConfig().get_assignment()\\n\\n if results:\\n self.snapshot['best_average_bugs_detected'] = \\\\\\n max([results[submitter]['average_bugs_detected'] for submitter in results])\\n self.snapshot['best_average_tests_evaded'] = \\\\\\n max([results[submitter]['average_tests_evaded'] for submitter in results])\\n\\n for submitter in results.keys():\\n submitter_bugs_detected = float(results[submitter]['average_bugs_detected'])\\n submitter_tests_escaped = float(results[submitter]['average_tests_evaded'])\\n\\n results[submitter]['normalised_test_score'] = assg.compute_normalised_test_score(\\n submitter_bugs_detected, self.snapshot['best_average_bugs_detected'],\\n self.snapshot['results'][submitter]['average_tests_per_suite']\\n )\\n\\n results[submitter]['normalised_prog_score'] = assg.compute_normalised_prog_score(\\n submitter_tests_escaped, self.snapshot['best_average_tests_evaded']\\n )\\n\\n # The current scoring algo for tests doesn't give the best test suite a maximums score.\\n # re-normalise to make this happen\\n best_test_score = max([results[submitter]['normalised_test_score'] for submitter in results.keys()])\\n if best_test_score == 0:\\n best_test_score = 1\\n for submitter in results.keys():\\n new_score = round(results[submitter]['normalised_test_score'] * (2.5 / best_test_score), 2)\\n results[submitter]['normalised_test_score'] = new_score\",\n \"def score_sc1(self, prediction_file):\\n fh = TempFile()\\n gs1, _ = self.download_gs()\\n script = self.classpath + os.sep + \\\"DREAM_Olfaction_scoring_Q1.pl\\\"\\n cmd = \\\"perl %s %s %s %s\\\"\\n cmd = cmd % (script, prediction_file, fh.name, gs1)\\n shellcmd(cmd)\\n df = pd.read_csv(fh.name, sep='\\\\t', index_col=None).ix[0]\\n fh.delete()\\n return df\\n\\n\\n # score sub1 = (zint +zple +zdec)/3\\n # sigma_int = 0.0787\\n # sigma_ple = 0.176\\n # signa_dec = 0.0042\\n\\n # final is average of zscores\",\n \"def train(self, documents):\\n X_train, X_test, Y_train, Y_test = self._read(documents) \\n \\n self.clf.fit(X_train,Y_train)\\n \\n acc = roc_auc_score(Y_test,self.clf.predict_proba(X_test)[:,1])\\n \\n print (\\\"Accuracy: \\\",acc)\",\n \"def compute_TF(doc_info):\\n tf_scores = []\\n\\n for idx, doc in enumerate(doc_info):\\n tf_score_table = {}\\n for word in doc['freq_dict'].keys():\\n count = doc['freq_dict'][word]\\n tf_score_table[word] = count/doc_info[idx]['doc_length']\\n tf_scores.append(tf_score_table)\\n\\n return tf_scores\",\n \"def train(self, documents):\\n ###DONE\\n\\n #entire vocab in document set D\\n vocab_sod = set()\\n vocab_pop = set()\\n \\n #Calcuates prior probabilities\\n priorSOD = 0 #how many docs are spam\\n priorPOP = 0 #how many docs are ham\\n \\n #Cacluates Tct\\n term_freq_sod = {} #{term:occur, term:occur}\\n term_freq_pop = {}\\n \\n #Tct'\\n Tct_sod = 0 #Tct' = sum of (every term occurence in class c + 1)\\n Tct_pop = 0\\n \\n for doc in documents: \\n if 'sod' in doc.label:\\n priorSOD += 1\\n for token in doc.tokens:\\n Tct_sod += 1\\n if token in term_freq_sod.keys():\\n term_freq_sod[token] = term_freq_sod[token] + 1\\n else:\\n term_freq_sod[token] = 1\\n vocab_sod.add(token) \\n else:\\n priorPOP += 1\\n for token in doc.tokens:\\n Tct_pop += 1\\n if token in term_freq_pop.keys():\\n term_freq_pop[token] = term_freq_pop[token] + 1\\n else:\\n term_freq_pop[token] = 1\\n vocab_pop.add(token)\\n \\n \\n #endfor\\n # | is for set join\\n self.vocab = vocab_sod | vocab_pop #gets rid of duplicate words (those in both 'ham' and 'spam') \\n \\n #Tct Primes\\n #tct' = term freq of all terms in class c + 1*(total terms)\\n Tct_sod = Tct_sod + len(self.vocab) \\n Tct_pop = Tct_pop + len(self.vocab) \\n \\n \\n print(\\\"PriorSod: \\\" + str(priorSOD))\\n print(\\\"PriorPop: \\\" + str(priorPOP))\\n print(\\\"LEN Docum: \\\" + str(len(documents)))\\n \\n self.priorSOD = priorSOD / len(documents)\\n self.priorPOP = priorPOP / len(documents)\\n \\n for term in self.vocab:\\n if term in term_freq_pop.keys():\\n self.cond_prob_pop[term] = (term_freq_pop[term] + 1) / Tct_pop\\n else:\\n self.cond_prob_pop[term] = 1 / Tct_pop\\n \\n if term in term_freq_sod.keys():\\n self.cond_prob_sod[term] = (term_freq_sod[term] + 1) / Tct_sod\\n else:\\n self.cond_prob_sod[term] = 1 / Tct_sod\\n \\n \\n pass\",\n \"def __call__(self, results):\\n for key in results.get('img_fields', ['img']):\\n results[key] = general_ocr.imnormalize(results[key], self.mean, self.std,\\n self.to_rgb)\\n results['img_norm_cfg'] = dict(\\n mean=self.mean, std=self.std, to_rgb=self.to_rgb)\\n return results\",\n \"def refine_tokens( self, tokens ):\\n k = 1.75\\n b = 0.75\\n stop_words_file = \\\"stop_words.txt\\\"\\n all_stopwords = list()\\n refined_tokens_sources = dict()\\n \\n # collect all the stopwords\\n with open( stop_words_file ) as file:\\n lines = file.read()\\n all_stopwords = lines.split( \\\"\\\\n\\\" )\\n \\n for source in tokens:\\n refined_tokens = dict()\\n files = dict()\\n inverted_frequency = dict()\\n file_id = -1\\n total_file_length = 0\\n for item in tokens[ source ]:\\n file_id += 1\\n file_tokens = tokens[ source ][ item ].split(\\\" \\\")\\n if source in \\\"name_desc_edam_help\\\":\\n file_tokens = utils._clean_tokens( file_tokens, all_stopwords )\\n total_file_length += len( file_tokens )\\n term_frequency = dict()\\n for token in file_tokens:\\n if token is not '':\\n file_ids = list()\\n if token not in inverted_frequency:\\n file_ids.append( file_id )\\n else:\\n file_ids = inverted_frequency[ token ]\\n if file_id not in file_ids:\\n file_ids.append( file_id )\\n inverted_frequency[ token ] = file_ids\\n # for term frequency\\n if token not in term_frequency:\\n term_frequency[ token ] = 1\\n else:\\n term_frequency[ token ] += 1\\n files[ item ] = term_frequency\\n N = len( files )\\n average_file_length = float( total_file_length ) / N\\n # find BM25 score for each token of each tool. It helps to determine\\n # how important each word is with respect to the tool and other tools\\n for item in files:\\n file_item = files[ item ]\\n file_length = len( file_item )\\n for token in file_item:\\n tf = file_item[ token ]\\n # normalize the term freq of token for each document\\n tf = float( tf ) / file_length\\n idf = np.log2( N / len( inverted_frequency[ token ] ) )\\n alpha = ( 1 - b ) + ( float( b * file_length ) / average_file_length )\\n tf_star = tf * float( ( k + 1 ) ) / ( k * alpha + tf )\\n tf_idf = tf_star * idf\\n file_item[ token ] = tf_idf\\n # filter tokens based on the BM25 scores and stop words. Not all tokens are important\\n for item in files:\\n file_tokens = files[ item ]\\n tokens_scores = [ ( token, score ) for ( token, score ) in file_tokens.items() ]\\n sorted_tokens = sorted( tokens_scores, key=operator.itemgetter( 1 ), reverse=True )\\n refined_tokens[ item ] = sorted_tokens\\n tokens_file_name = 'tokens_' + source + '.txt'\\n token_file_path = os.path.join( os.path.dirname( self.tools_data_path ) + '/' + tokens_file_name )\\n with open( token_file_path, 'w' ) as file:\\n file.write( json.dumps( refined_tokens ) )\\n file.close()\\n refined_tokens_sources[ source ] = refined_tokens\\n return refined_tokens_sources\",\n \"def append_score():\\n score_frame = fu.read_file_to_df(working_file_url, u'企业评分')\\n score_frame = score_frame.set_index(u'企业编号'.encode('utf-8'))\\n\\n for file_n in annual_report_indexes:\\n print file_n\\n\\n data_frame = fu.read_file_to_df(corporation_index_file_url, file_n + '_index')\\n data_frame = data_frame.set_index('Unnamed: 0')\\n\\n data_frame = data_frame.join(score_frame)\\n\\n fu.write_file(data_frame, corporation_index_file_url, file_n + '_index', index=True)\\n return\",\n \"def get_score(self, query: list, index: int, e: int = 0.5) -> float:\\n score = 0.0\\n total = sum(self.counts[index].values())\\n for token in query:\\n if token not in self.counts[index]:\\n continue\\n idf = math.log((self.document_count + e) / (self.token_docs[token] + e))\\n score += (self.counts[index][token] / total) * idf\\n\\n return score\",\n \"def transform(self, collection: List[List[str]]) -> List[List[float]]:\\n # tokenize collection\\n col_tokenized = self.preprocess(collection)\\n # calculate word count for potential vocabulary trunctation\\n #word_count_col = self.word_count(col_tokenized)\\n # calculate term frequency\\n tf_col = self.tf_calc(col_tokenized)\\n tf_idf = list()\\n for tf in tf_col:\\n if len(tf) == len(self.idf_col):\\n tf_idf_tmp = [tf[i]*self.idf_col[i] for i in range(len(self.idf_col))]\\n tf_idf.append(tf_idf_tmp)\\n if self.l2:\\n tf_idf_tmp = list()\\n for vector in tf_idf:\\n v_norm = math.sqrt(sum([elm ** 2 for elm in vector]))\\n if v_norm == 0:\\n tf_idf_tmp.append(vector)\\n continue\\n v_tmp = [round(elm/v_norm, 3) for elm in vector]\\n tf_idf_tmp.append(v_tmp)\\n tf_idf = tf_idf_tmp\\n \\n return tf_idf\",\n \"def update_scores(read_scores, result):\\n\\n\\t# check that there are some results for this read\\n\\tassert len(result) > 0\\n\\t# write this read to output\\n\\tfor sim_match in result.keys():\\n\\n\\t\\t# get type (discordant or chimeric)\\n\\t\\tjunc_type = sim_match.split('_')[2]\\n\\n\\t\\tfor analysis_match in result[sim_match]:\\n\\t\\t\\t\\n\\t\\t\\t# get each score type\\n\\t\\t\\tfor score_type in read_scores:\\n\\t\\t\\t\\tscore = analysis_match[score_type]\\n\\t\\t\\t\\tread_scores[score_type][junc_type][score] += 1\",\n \"def normalize(score, alpha=15):\\n norm_score = score / math.sqrt((score * score) + alpha)\\n if norm_score < -1.0:\\n return -1.0\\n elif norm_score > 1.0:\\n return 1.0\\n else:\\n return norm_score\",\n \"def __lm_scores(en_id, txt, prefix):\\n feat_field_dict = {'title': econfig.TITLE, 'sAbs': econfig.SHORT_ABS, 'lAbs': econfig.LONG_ABS,\\n 'links': econfig.WIKILINKS, 'cats': econfig.CATEGORIES, 'catchall': Lucene.FIELDNAME_CONTENTS}\\n ftr_extractor = QuerySimFeat(txt)\\n scores = dict()\\n for feature_name, field in feat_field_dict.iteritems():\\n lm_score = ftr_extractor.nllr_lm_score(en_id, field) # lm_score(en_id, field)\\n scores[prefix + feature_name] = lm_score if lm_score is not None else 0\\n return scores\",\n \"def _pre_processing(self, material_probs, convertion_rules):\\n # To count items and stages.\\n additional_items = {\\\"30135\\\": u\\\"D32钢\\\", \\\"30125\\\": u\\\"双极纳米片\\\", \\\"30115\\\": u\\\"聚合剂\\\"}\\n exp_unit = 200 * (30.0 - 0.048 * 30) / 7400\\n gold_unit = 0.004\\n exp_worths = {\\n \\\"2001\\\": exp_unit,\\n \\\"2002\\\": exp_unit * 2,\\n \\\"2003\\\": exp_unit * 5,\\n \\\"2004\\\": exp_unit * 10,\\n \\\"3003\\\": exp_unit * 2,\\n }\\n gold_worths = {}\\n\\n item_dct = {}\\n stage_dct = {}\\n for dct in material_probs[\\\"matrix\\\"]:\\n item_dct[dct[\\\"item\\\"][\\\"itemId\\\"]] = dct[\\\"item\\\"][\\\"name\\\"]\\n stage_dct[dct[\\\"stage\\\"][\\\"code\\\"]] = dct[\\\"stage\\\"][\\\"code\\\"]\\n item_dct.update(additional_items)\\n\\n # To construct mapping from id to item names.\\n item_array = []\\n item_id_array = []\\n for k, v in item_dct.items():\\n try:\\n float(k)\\n item_array.append(v)\\n item_id_array.append(k)\\n except ValueError:\\n pass\\n self.item_array = np.array(item_array)\\n self.item_id_array = np.array(item_id_array)\\n self.item_id_rv = {int(v): k for k, v in enumerate(item_id_array)}\\n self.item_dct_rv = {v: k for k, v in enumerate(item_array)}\\n\\n # To construct mapping from stage id to stage names and vice versa.\\n stage_array = []\\n for k, v in stage_dct.items():\\n stage_array.append(v)\\n self.stage_array = np.array(stage_array)\\n self.stage_dct_rv = {v: k for k, v in enumerate(self.stage_array)}\\n\\n # To format dropping records into sparse probability matrix\\n probs_matrix = np.zeros([len(stage_array), len(item_array)])\\n cost_lst = np.zeros(len(stage_array))\\n cost_exp_offset = np.zeros(len(stage_array))\\n cost_gold_offset = np.zeros(len(stage_array))\\n for dct in material_probs[\\\"matrix\\\"]:\\n try:\\n cost_lst[self.stage_dct_rv[dct[\\\"stage\\\"][\\\"code\\\"]]] = dct[\\\"stage\\\"][\\n \\\"apCost\\\"\\n ]\\n float(dct[\\\"item\\\"][\\\"itemId\\\"])\\n probs_matrix[\\n self.stage_dct_rv[dct[\\\"stage\\\"][\\\"code\\\"]],\\n self.item_dct_rv[dct[\\\"item\\\"][\\\"name\\\"]],\\n ] = dct[\\\"quantity\\\"] / float(dct[\\\"times\\\"])\\n if cost_lst[self.stage_dct_rv[dct[\\\"stage\\\"][\\\"code\\\"]]] != 0:\\n cost_gold_offset[self.stage_dct_rv[dct[\\\"stage\\\"][\\\"code\\\"]]] = -dct[\\n \\\"stage\\\"\\n ][\\\"apCost\\\"] * (12 * gold_unit)\\n except ValueError:\\n pass\\n\\n try:\\n cost_exp_offset[self.stage_dct_rv[dct[\\\"stage\\\"][\\\"code\\\"]]] -= (\\n exp_worths[dct[\\\"item\\\"][\\\"itemId\\\"]]\\n * dct[\\\"quantity\\\"]\\n / float(dct[\\\"times\\\"])\\n )\\n except (KeyError, ValueError):\\n pass\\n\\n try:\\n cost_gold_offset[self.stage_dct_rv[dct[\\\"stage\\\"][\\\"code\\\"]]] -= (\\n gold_worths[dct[\\\"item\\\"][\\\"itemId\\\"]]\\n * dct[\\\"quantity\\\"]\\n / float(dct[\\\"times\\\"])\\n )\\n except (KeyError, ValueError):\\n pass\\n\\n # Hardcoding: extra gold farmed.\\n cost_gold_offset[self.stage_dct_rv[\\\"S4-6\\\"]] -= 3228 * gold_unit\\n cost_gold_offset[self.stage_dct_rv[\\\"S5-2\\\"]] -= 2484 * gold_unit\\n\\n # To build equivalence relationship from convert_rule_dct.\\n self.convertions_dct = {}\\n convertion_matrix = []\\n convertion_outc_matrix = []\\n convertion_cost_lst = []\\n for rule in convertion_rules:\\n convertion = np.zeros(len(self.item_array))\\n convertion[self.item_dct_rv[rule[\\\"name\\\"]]] = 1\\n\\n comp_dct = {comp[\\\"id\\\"]: comp[\\\"count\\\"] for comp in rule[\\\"costs\\\"]}\\n self.convertions_dct[rule[\\\"id\\\"]] = comp_dct\\n for item_id in comp_dct:\\n convertion[self.item_id_rv[int(item_id)]] -= comp_dct[item_id]\\n convertion_matrix.append(copy.deepcopy(convertion))\\n\\n outc_dct = {outc[\\\"name\\\"]: outc[\\\"count\\\"] for outc in rule[\\\"extraOutcome\\\"]}\\n outc_wgh = {outc[\\\"name\\\"]: outc[\\\"weight\\\"] for outc in rule[\\\"extraOutcome\\\"]}\\n weight_sum = float(sum(outc_wgh.values()))\\n for item_id in outc_dct:\\n convertion[self.item_dct_rv[item_id]] += (\\n outc_dct[item_id] * 0.175 * outc_wgh[item_id] / weight_sum\\n )\\n convertion_outc_matrix.append(convertion)\\n\\n convertion_cost_lst.append(rule[\\\"goldCost\\\"] * 0.004)\\n\\n convertions_group = (\\n np.array(convertion_matrix),\\n np.array(convertion_outc_matrix),\\n np.array(convertion_cost_lst),\\n )\\n farms_group = (probs_matrix, cost_lst, cost_exp_offset, cost_gold_offset)\\n\\n return convertions_group, farms_group\",\n \"def runAndSave(self, args):\\n self.pen.score_for_matched_lexical = args[0]\\n self.pen.score_for_matched_synonym = args[1]\\n self.factor_word_offset_penalty = args[2]\\n self.factor_sentence_length_mismatch = args[3]\\n self.factor_name_mismatch = args[4]\\n self.factor_fe_offset_penalty = args[5]\\n self.weight_target_frame_element = args[6]\\n self.weight_frame_elements = args[7]\\n self.factor_frame_offset_penalty = args[8]\\n\\n team_to_row = { \\\"newstest2014.CMU.3461.de-en\\\" : 0,\\n \\\"newstest2014.DCU-ICTCAS-Tsinghua-L.3444.de-en\\\" : 1,\\n \\\"newstest2014.LIMSI-KIT-Submission.3359.de-en\\\" : 2,\\n \\\"newstest2014.RWTH-primary.3266.de-en\\\" : 3,\\n \\\"newstest2014.eubridge.3569.de-en\\\" : 4,\\n \\\"newstest2014.kit.3109.de-en\\\" : 5,\\n \\\"newstest2014.onlineA.0.de-en\\\" : 6,\\n \\\"newstest2014.onlineB.0.de-en\\\" : 7,\\n \\\"newstest2014.onlineC.0.de-en\\\" : 8,\\n \\\"newstest2014.rbmt1.0.de-en\\\" : 9,\\n \\\"newstest2014.rbmt4.0.de-en\\\" : 10,\\n \\\"newstest2014.uedin-syntax.3035.de-en\\\" : 11,\\n \\\"newstest2014.uedin-wmt14.3025.de-en\\\" : 12,\\n \\\"newstest2014-deen-ref.de-en\\\" : 13}\\n teams = list(team_to_row.keys())\\n teams.remove(\\\"newstest2014-deen-ref.de-en\\\")\\n def_list = ['-' for x in range(len(team_to_row))]\\n with open('ourPessimisticRankingDiff.csv', 'wb') as our_csvfile:\\n with open('bleuPessimisticRankingDiff.csv', 'wb') as bleu_csvfile:\\n ourwriter = csv.writer(our_csvfile)\\n bleuwriter = csv.writer(bleu_csvfile)\\n\\n our_print_res = list(def_list)\\n bleu_print_res = list(def_list)\\n for team in team_to_row.iterkeys():\\n if team in teams:\\n our_print_res[team_to_row[team]] = team\\n bleu_print_res[team_to_row[team]] = team\\n\\n ourwriter.writerow(our_print_res)\\n bleuwriter.writerow(bleu_print_res)\\n\\n for row in range(self.data.get_number_of_rows()):\\n print row\\n ref_sentence = self.data.get_row(row)[self.data.get_gold()]\\n our_print_res = list(def_list)\\n bleu_print_res = list(def_list)\\n our_results = {}\\n bleu_results = {}\\n for team, team_sentence in self.data.get_row_for_teams(self.evaluator.get_teams(row), row).iteritems():\\n our = self.get_sentence_score(ref_sentence, team_sentence)\\n our_results[team] = our\\n bleus = bleu_score.bleu(self.data.get_sentence_for_object(team_sentence).split(), self.data.get_sentence_for_object(ref_sentence).split(), [1])\\n bleu_results[team] = bleus\\n\\n for team, rank in self.evaluator.diffAll(row, our_results).iteritems():\\n our_print_res[team_to_row[team]] = rank\\n\\n for team, rank in self.evaluator.diffAll(row, bleu_results).iteritems():\\n bleu_print_res[team_to_row[team]] = rank\\n\\n ourwriter.writerow(our_print_res)\\n bleuwriter.writerow(bleu_print_res)\",\n \"def calculateMeasures(\\n folder_gold=\\\"data/dev/\\\", folder_pred=\\\"data_pred/dev/\\\", remove_anno=\\\"\\\"\\n):\\n\\n flist_gold = os.listdir(folder_gold)\\n res_all_gold = []\\n res_all_pred = []\\n targets = []\\n\\n if type(remove_anno) == str:\\n remove_anno = [remove_anno]\\n if \\\"types\\\" in remove_anno:\\n remove_anno.append(\\\"rel\\\")\\n\\n for f in flist_gold:\\n # ignoring non-.ann files, should there be any\\n if not str(f).endswith(\\\".ann\\\"):\\n continue\\n f_gold = open(os.path.join(folder_gold, f), \\\"r\\\")\\n try:\\n f_pred = open(os.path.join(folder_pred, f), \\\"r\\\")\\n res_full_pred, res_pred, spans_pred, rels_pred = normaliseAnnotations(\\n f_pred, remove_anno\\n )\\n except IOError:\\n print(\\n f\\n + \\\" file missing in \\\"\\n + folder_pred\\n + \\\". Assuming no predictions are available for this file.\\\"\\n )\\n res_full_pred, res_pred, spans_pred, rels_pred = [], [], [], []\\n\\n res_full_gold, res_gold, spans_gold, rels_gold = normaliseAnnotations(\\n f_gold, remove_anno\\n )\\n\\n spans_all = set(spans_gold + spans_pred)\\n\\n for i, r in enumerate(spans_all):\\n if r in spans_gold:\\n target = res_gold[spans_gold.index(r)].split(\\\" \\\")[0]\\n res_all_gold.append(target)\\n if not target in targets:\\n targets.append(target)\\n else:\\n # those are the false positives, contained in pred but not gold\\n res_all_gold.append(\\\"NONE\\\")\\n\\n if r in spans_pred:\\n target_pred = res_pred[spans_pred.index(r)].split(\\\" \\\")[0]\\n res_all_pred.append(target_pred)\\n else:\\n # those are the false negatives, contained in gold but not pred\\n res_all_pred.append(\\\"NONE\\\")\\n\\n if \\\"keys\\\" in remove_anno:\\n targets = [\\\"Hyponym-of\\\", \\\"Synonym-of\\\"]\\n # y_true, y_pred, labels, targets\\n prec, recall, f1, support = precision_recall_fscore_support(\\n res_all_gold, res_all_pred, labels=targets, average=None\\n )\\n # unpack the precision, recall, f1 and support\\n metrics = {}\\n for k, target in enumerate(targets):\\n metrics[target] = {\\n \\\"precision\\\": prec[k],\\n \\\"recall\\\": recall[k],\\n \\\"f1-score\\\": f1[k],\\n \\\"support\\\": support[k],\\n }\\n\\n # now micro-averaged\\n if not \\\"types\\\" in remove_anno:\\n prec, recall, f1, s = precision_recall_fscore_support(\\n res_all_gold, res_all_pred, labels=targets, average=\\\"micro\\\"\\n )\\n metrics[\\\"overall\\\"] = {\\n \\\"precision\\\": prec,\\n \\\"recall\\\": recall,\\n \\\"f1-score\\\": f1,\\n \\\"support\\\": sum(support),\\n }\\n else:\\n # just binary classification, nothing to average\\n metrics[\\\"overall\\\"] = metrics[\\\"KEYPHRASE-NOTYPES\\\"]\\n\\n print_report(metrics, targets)\\n return metrics\",\n \"def inference(self):\\n for m, doc in enumerate(self.docs):\\n # Be careful followings are views\\n # So self.hoge will be change, when changing variant\\n zs_j = self.zs_m_j[m]\\n zk_j = self.zk_m_j[m]\\n n_m_zs = self.n_m_zs[m]\\n n_m_zk = self.n_m_zk[m]\\n for j, t in enumerate(doc):\\n # discount for n-th word t with topic z\\n zs = zs_j[j]\\n zk = zk_j[j]\\n n_m_zs[zs] -= 1\\n n_m_zk[zs, zk] -= 1\\n self.n_zk_t[zk, t] -= 1\\n self.n_zk[zk] -= 1\\n\\n # sampling topic new_z for t\\n \\\"\\\"\\\"\\n n_s = n_m_zs + self.alphas # mth doc, S vec\\n p_s = n_s / np.sum(n_s)\\n n_k = n_m_zk + self.alphask # mth doc, SxK matrix\\n p_k = n_k / n_s.reshape(len(n_s), 1)\\n n_v = self.n_zk_t[:, t] + self.beta\\n p_v = n_v / (self.n_zk + self.beta)\\n\\n p_zsk = p_s.reshape(len(p_s), 1) * p_k * p_v # SxK matrix\\n \\\"\\\"\\\"\\n\\n p_zsk = (n_m_zk + self.alphask) * self.n_zk_t[:, t] \\\\\\n / (np.sum(n_m_zs + self.alphas) * self.n_zk)\\n\\n p_zs = np.sum(p_zsk, axis=1) / np.sum(p_zsk)\\n p_zk = np.sum(p_zsk, axis=0) / np.sum(p_zsk)\\n\\n new_zs = np.random.multinomial(1, p_zs).argmax()\\n new_zk = np.random.multinomial(1, p_zk).argmax()\\n\\n # print(\\\"arg\\\", np.argmax(p_s), np.argmax(p_k, axis=1),\\n # np.argmax(p_k, axis=0), np.argmax(p_zk))\\n # print('probs', p_s, p_zs)\\n # print('probk', p_k, p_zk)\\n # print('old', zs, zk)\\n # print('new', new_zs, new_zk)\\n\\n # set z the new topic and increment counters\\n zs_j[j] = new_zs\\n zk_j[j] = new_zk\\n n_m_zs[new_zs] += 1\\n n_m_zk[new_zs, new_zk] += 1\\n self.n_zk_t[new_zk, t] += 1\\n self.n_zk[new_zk] += 1\",\n \"def score(self, sentence):\\n score = 0.0\\n V = len(self.f1) # vocabulary size\\n for token in sentence:\\n if token in self.f1: score += self.f1[token]\\n else: score -= math.log10(self.total + V)\\t\\t # OOV \\n return score\",\n \"def relevance_feedback_exp(vec_docs, vec_queries, sim,gt,n=10):\\n\\n \\n top_n_relevant_doc = []\\n for i in range(sim.shape[1]):\\n ranked_documents = np.argsort(-sim[:, i])\\n top_n_relevant_doc.append(ranked_documents[:n])\\n #print ('Query:', i+1, 'Top relevant n documents:', ranked_documents[:n] + 1)\\n real_rel = []\\n non_rel = []\\n \\n for i in range(len(top_n_relevant_doc)):\\n \\n query = i\\n curr = top_n_relevant_doc[query]\\n a = []\\n b = []\\n \\n for j in range(len(gt)):\\n #print('gt[j][0]',gt[j][0])\\n #print('query number', query)\\n if (gt[j][0] == query+1):\\n \\n \\n if ( gt[j][1] not in list(curr)):\\n a.append(gt[j][1])\\n else:\\n b.append(gt[j][1])\\n \\n real_rel.append(b)\\n non_rel.append(a)\\n\\n #print(real_rel)\\n #print(non_rel)\\n \\n alpha = 0.1\\n beta = 1\\n\\n new_vec_queries = np.zeros([30,10625])\\n \\n for i in range(30):\\n query = vec_queries.toarray()[i]\\n rel_doc = real_rel[i]\\n non_doc = non_rel[i]\\n\\n ##\\n weight_up_rel = np.zeros([10625,])\\n for j in rel_doc:\\n weight_doc = vec_docs.toarray()[j-1]\\n weight_up_rel += weight_doc\\n \\n weight_up_rel = alpha * weight_up_rel\\n\\n ##\\n\\n ##\\n weight_up_non = np.zeros([10625,])\\n for k in non_doc:\\n doc_w = vec_docs.toarray()[k-1]\\n weight_up_non += doc_w\\n\\n weight_up_non = beta * weight_up_non\\n ##\\n\\n new_vec_queries[i] = query + weight_up_rel + weight_up_non\\n\\n new_vec_queries = sparse.csr_matrix(new_vec_queries)\\n\\n\\n######## After Updating #########\\n update_rank_doc = []\\n for i in range(sim.shape[1]):\\n ranked_documents = np.argsort(-sim[:, i])\\n update_rank_doc.append(ranked_documents[:10])\\n \\n #print(update_rank_doc)\\n up_rel = []\\n up_non = []\\n \\n for i in range(len(update_rank_doc)):\\n \\n query = i\\n curr = update_rank_doc[query]\\n a = []\\n b = []\\n \\n for j in range(len(gt)):\\n #print('gt[j][0]',gt[j][0])\\n #print('query number', query)\\n if (gt[j][0] == query+1):\\n \\n \\n if ( gt[j][1] not in list(curr)):\\n a.append(gt[j][1])\\n else:\\n b.append(gt[j][1])\\n \\n up_rel.append(b)\\n up_non.append(a)\\n\\n\\n \\n all_rel_doc_tfidf = []\\n \\n all_rel_doc_index = []\\n \\n \\n for i in up_rel:\\n \\n doc_tfidf = []\\n index = []\\n \\n for doc_num in i:\\n \\n ini_v_d = vec_docs.toarray()[doc_num-1]\\n v_d = np.sort(ini_v_d)[::-1]\\n \\n for u in range(10):\\n tf = v_d[u]\\n ind = list(ini_v_d).index(tf)\\n index.append(ind)\\n doc_tfidf.append(v_d[u])\\n\\n all_rel_doc_tfidf.append(doc_tfidf)\\n all_rel_doc_index.append(index)\\n \\n\\n final_vec_queries = np.zeros([30,10625])\\n \\n for i in range(30):\\n \\n query = new_vec_queries.toarray()[i]\\n tfidf = all_rel_doc_tfidf[i]\\n index = all_rel_doc_index[i]\\n\\n \\n for j in range(len(index)):\\n query[index[j]] += tfidf[j]\\n \\n \\n final_vec_queries[i] = query\\n\\n final_vec_queries = sparse.csr_matrix(final_vec_queries)\\n \\n \\n \\n sim = cosine_similarity(vec_docs, final_vec_queries) \\n\\n rf_sim = sim # change\\n return rf_sim\",\n \"def main():\\n args = parse_argument()\\n train_file = args['train'][0]\\n test_file = args['test'][0]\\n print train_file, test_file\\n \\n user_ratings_train, movie_ratings_train=parse_file(train_file)\\n ave_ratings=compute_average_user_ratings(user_ratings_train)\\n user_train=list(user_ratings_train.keys())\\n with open(test_file,'r') as test:\\n with open('predictions.txt', 'w') as pred:\\n writer = csv.writer(pred)\\n prediction=list()\\n actual=list()\\n for row in csv.reader(test):\\n num_sum=0.0\\n sim_sum=0.0\\n user=int(row[1])\\n movie=int(row[0])\\n other_users_ratings=movie_ratings_train[movie]\\n other_users=other_users_ratings.keys()\\n for i in range(len(other_users)): \\n other_user=other_users[i]\\n similar=compute_user_similarity(user_ratings_train[user],user_ratings_train[other_user],ave_ratings[user],ave_ratings[other_user])\\n num_sum=num_sum+similar*(float(movie_ratings_train[movie][other_user])-float(ave_ratings[other_user]))\\n sim_sum = sim_sum+abs(similar)\\n #No similar users\\n try:\\n pred_rating=ave_ratings[user]+num_sum/sim_sum\\n except ZeroDivisionError:\\n pred_rating=ave_ratings[user]\\n prediction.append(pred_rating)\\n actual.append(row[2])\\n writer.writerow(row+[pred_rating])\\n actual_np=np.array(map(float, actual))\\n prediction_np=np.array(prediction)\\n rmse=np.sqrt(((prediction_np - actual_np)** 2).mean())\\n mae=np.absolute(prediction_np - actual_np).mean()\\n print \\\"RMSE\\\",round(rmse,4)\\n print \\\"MAE\\\",round(mae,4)\",\n \"def compute_idf(doc_info, freq_dict_all):\\n idf_scores = []\\n counter = 0\\n\\n for temp_dict in freq_dict_all:\\n counter += 1\\n\\n for k in temp_dict['freq_dict'].keys():\\n count = sum([k in tempdict['freq_dict'] for tempdict in freq_dict_all])\\n temp = {\\n 'doc_id': counter,\\n 'IDF_Score': math.log(len(doc_info) / count),\\n 'key': k\\n }\\n\\n idf_scores.append(temp)\\n\\n return idf_scores\",\n \"def learn(self, docs, labels, alpha=1.0):\\n assert len(docs)==len(labels)\\n labelCounts = {l: 0 for l in self.CLASSES}\\n wordCounts = {l: Counter() for l in self.CLASSES}\\n totalWordCounts = {l: 0 for l in self.CLASSES}\\n # iterate over documents in order to record\\n for i in range(0, len(labels)):\\n # count(y) in labelCounts\\n l = labels[i]\\n labelCounts[labels[i]] +=1\\n # count(y,w) for all words in totalWordCounts\\n totalWordCounts[labels[i]] += len(docs[i])\\n words = docs[i]\\n # count(y,word) in wordCounts,\\n \\n for word in words:\\n wordCounts[labels[i]][word] += 1\\n # and to store the training vocabulary in self.trainVocab\\n self.trainVocab.add(word)\\n # compute and store prior distribution over classes\\n # (unsmoothed) in self.priorProbs\\n print(\\\"Label,priorProbs,Label Count\\\", file=sys.stderr)\\n for l in self.priorProbs:\\n self.priorProbs[l] = np.divide(labelCounts[l], len(labels))\\n print(l +\\\",\\\"+str(self.priorProbs[l])+\\\",\\\"+str(labelCounts[l]), file=sys.stderr) #This was for part one\\n for word in self.trainVocab: \\n self.likelihoodProbs[l][word] = np.divide(wordCounts[l][word]+self.ALPHA, totalWordCounts[l]+self.ALPHA*(len(self.trainVocab)+1))\\n self.likelihoodProbs[l]['**OOV**'] = np.divide(self.ALPHA, totalWordCounts[l]+self.ALPHA*(len(self.trainVocab)+1))\\n # Sanity checks--do not modify\\n assert len(self.priorProbs)==len(self.likelihoodProbs)==len(self.CLASSES)>2\\n assert .999 < sum(self.priorProbs.values()) < 1.001\\n for y in self.CLASSES:\\n assert .999 < sum(self.likelihoodProbs[y].values()) < 1.001,sum(self.likelihoodProbs[y].values())\\n assert 0 <= self.likelihoodProbs[y]['**OOV**'] < 1.0,self.likelihoodProbs[y]['**OOV**']\",\n \"def compute_tf(doc_info, freq_dict_all):\\n tf_scores = []\\n\\n for temp_dict in freq_dict_all:\\n id = temp_dict['doc_id']\\n\\n for k in temp_dict['freq_dict']:\\n temp = {\\n 'doc_id': id,\\n 'TF_Score': temp_dict['freq_dict'][k] / doc_info[id - 1]['doc_length'],\\n 'key': k\\n }\\n\\n tf_scores.append(temp)\\n\\n return tf_scores\",\n \"def main():\\n with read_std_files(OUT_FILE) as (qrys_file, docs_file, out_file):\\n doc_count, token_count, word_map = map_docs(docs_file)\\n avg_doc_len = token_count / float(doc_count)\\n for doc_id, doc_tokens in tokenize(docs_file):\\n doc_len = len(doc_tokens)\\n doc_dct = dictify(doc_tokens)\\n for query_id, query_tokens in tokenize(qrys_file):\\n query_dct = dictify(query_tokens)\\n similarity = tfidf(query_dct, doc_dct, doc_len, doc_count, avg_doc_len, word_map)\\n log(out_file, query_id, doc_id, similarity)\",\n \"def __init__(self, n, sents, corpus='', beta=None, addone=True):\\n self.n = n\\n self.beta = beta\\n self.corpus = corpus\\n self.beta_flag = True\\n self.addone = addone\\n self.smoothingtechnique = 'Back Off (Katz) with Discounting Smoothing'\\n self.counts = counts = defaultdict(int)\\n self.A_set = defaultdict(set)\\n voc = ['</s>']\\n for s in sents:\\n voc += s\\n self.voc = set(voc)\\n if beta is None:\\n self.beta_flag = False\\n\\n # if no beta given, we compute it\\n if not self.beta_flag:\\n total_sents = len(sents)\\n aux = int(total_sents * 90 / 100)\\n # 90 per cent por training\\n train_sents = sents[:aux]\\n # 10 per cent for perplexity (held out data)\\n held_out_sents = sents[-total_sents+aux:]\\n\\n train_sents = list(map((lambda x: ['<s>']*(n-1) + x), train_sents))\\n train_sents = list(map((lambda x: x + ['</s>']), train_sents))\\n for sent in train_sents:\\n for j in range(n+1):\\n for i in range(n-j, len(sent) - j + 1):\\n ngram = tuple(sent[i: i + j])\\n counts[ngram] += 1\\n # for efficiency, we save the A set as a dict of sets\\n if j:\\n self.A_set[ngram[:-1]].add(ngram[-1])\\n for i in range(1, n):\\n counts[('<s>',)*i] += len(train_sents)\\n counts[('</s>',)] = len(train_sents)\\n\\n self.tocounts = counts\\n # search for the beta that gives lower perplexity\\n beta_candidates = [i*0.1 for i in range(1, 10)]\\n # xs is a list with (beta, perplexity)\\n xs = []\\n self.sents = train_sents\\n for aux_beta in beta_candidates:\\n self.beta = aux_beta\\n aux_perx = self.perplexity(held_out_sents)\\n xs.append((aux_beta, aux_perx))\\n xs.sort(key=lambda x: x[1])\\n self.beta = xs[0][0]\\n with open('old-stuff/backoff_'+str(n)+'_parameters_'+corpus, 'a') as f:\\n f.write('Order: {}\\\\n'.format(self.n))\\n f.write('Beta: {}\\\\n'.format(self.beta))\\n f.write('AddOne: {}\\\\n'.format(self.addone))\\n f.write('Perplexity observed: {}\\\\n'.format(xs[0][1]))\\n f.write('-------------------------------\\\\n')\\n f.close()\\n else:\\n sents = list(map((lambda x: x + ['</s>']), sents))\\n sents = list(map((lambda x: ['<s>']*(n-1) + x), sents))\\n\\n for sent in sents:\\n for j in range(n+1):\\n for i in range(n-j, len(sent) - j + 1):\\n ngram = tuple(sent[i: i + j])\\n counts[ngram] += 1\\n # for efficiency, we save the A set as a dict of sets\\n if j:\\n self.A_set[ngram[:-1]].add(ngram[-1])\\n for i in range(1, n):\\n counts[('<s>',)*i] += len(sents)\\n counts[('</s>',)] = len(sents)\",\n \"def classify(self, documents):\\n predictions = []\\n for doc in documents:\\n\\n score_sod = math.log(self.priorSOD)\\n score_pop = math.log(self.priorPOP)\\n for term in doc.tokens:\\n if term in self.cond_prob_sod.keys():\\n score_sod += math.log(self.cond_prob_sod[term])\\n if term in self.cond_prob_pop.keys():\\n score_pop += math.log(self.cond_prob_pop[term])\\n if(score_pop >= score_sod): #defaults to ham if score = even \\n predictions.append('pop')\\n else:\\n predictions.append('sod')\\n \\n return predictions \\n pass\",\n \"def meanTest(li_pre_final,li_post_final): \\r\\n li_add_A_pre = li_pre_final[0][0]\\r\\n li_add_B_pre = li_pre_final[0][1] \\r\\n li_add_C_pre = li_pre_final[0][2] \\r\\n li_add_D_pre = li_pre_final[0][3]\\r\\n\\r\\n li_upd_A_pre = li_pre_final[1][0] \\r\\n li_upd_B_pre = li_pre_final[1][1]\\r\\n li_upd_C_pre = li_pre_final[1][2]\\r\\n li_upd_D_pre = li_pre_final[1][3]\\r\\n\\r\\n li_rem_A_pre = li_pre_final[2][0] \\r\\n li_rem_B_pre = li_pre_final[2][1]\\r\\n li_rem_C_pre = li_pre_final[2][2]\\r\\n li_rem_D_pre = li_pre_final[2][3]\\r\\n\\r\\n li_add_A_post = li_post_final[0][0]\\r\\n li_add_B_post = li_post_final[0][1] \\r\\n li_add_C_post = li_post_final[0][2] \\r\\n li_add_D_post = li_post_final[0][3] \\r\\n\\r\\n li_upd_A_post = li_post_final[1][0] \\r\\n li_upd_B_post = li_post_final[1][1]\\r\\n li_upd_C_post = li_post_final[1][2]\\r\\n li_upd_D_post = li_post_final[1][3] \\r\\n\\r\\n li_rem_A_post = li_post_final[2][0] \\r\\n li_rem_B_post = li_post_final[2][1]\\r\\n li_rem_C_post = li_post_final[2][2]\\r\\n li_rem_D_post = li_post_final[2][3] \\r\\n\\r\\n li_p_values = [i for i in range(12)]\\r\\n \\r\\n U1, li_p_values[0] = mannwhitneyu(li_add_A_pre,li_add_A_post)\\r\\n U1, li_p_values[1] = mannwhitneyu(li_add_B_pre,li_add_B_post) \\r\\n U1, li_p_values[2] = mannwhitneyu(li_add_C_pre,li_add_C_post)\\r\\n U1, li_p_values[3] = mannwhitneyu(li_add_D_pre,li_add_D_post)\\r\\n\\r\\n U1, li_p_values[4] = mannwhitneyu(li_upd_A_pre,li_upd_A_post)\\r\\n U1, li_p_values[5] = mannwhitneyu(li_upd_B_pre,li_upd_B_post)\\r\\n U1, li_p_values[6] = mannwhitneyu(li_upd_C_pre,li_upd_C_post)\\r\\n U1, li_p_values[7] = mannwhitneyu(li_upd_D_pre,li_upd_D_post)\\r\\n\\r\\n U1, li_p_values[8] = mannwhitneyu(li_rem_A_pre,li_rem_A_post)\\r\\n U1, li_p_values[9] = mannwhitneyu(li_rem_B_pre,li_rem_B_post)\\r\\n U1, li_p_values[10] = mannwhitneyu(li_rem_C_pre,li_rem_C_post)\\r\\n U1, li_p_values[11] = mannwhitneyu(li_rem_D_pre,li_rem_D_post)\\r\\n\\r\\n for p_value in li_p_values:\\r\\n if p_value < 0.05:\\r\\n print(\\\"reject H0: statistically different\\\")\\r\\n else:\\r\\n print(\\\"accept H0: not statistically different\\\")\",\n \"def create_estimated_score( X_new\\n ,Y_pred\\n ,base\\n ,time_signature_input_file\\n ,key_signature_input_file\\n ,score_title\\n ,composer\\n ):\\n\\n # Debug info:\\n #print(\\\"\\\\n\\\\n\\\")\\n #print(\\\"Estimated output in notes (Notename, octave and quarterLength):\\\")\\n #for r in Y_pred:\\n #\\n # # round to a 0.25 resolution because input used 1/4 notes\\n # t=r[2]\\n # BASE=0.25\\n # v=t + (BASE - t) % BASE\\n # print(nc.getNoteName(int(round(r[0])), enharmonic=False),int(round(r[1])), v)\\n\\n\\n # *** Create the score with estimated notes ***\\n # *********************************************\\n # https://web.mit.edu/music21/doc/usersGuide/usersGuide_06_stream2.html\\n estimatedScore = m.stream.Stream()\\n\\n # Set Meta Data in estimated score\\n meta_data = m.metadata.Metadata()\\n meta_data.title = score_title\\n today = date.today()\\n # YYYY/mm/dd\\n d1 = today.strftime(\\\"%d/%m/%Y\\\")\\n meta_data.date = str(d1)\\n meta_data.composer = composer+\\\" (\\\"+str(d1)+\\\")\\\"\\n\\n upperStaffClef=m.clef.TrebleClef()\\n lowerStaffClef=m.clef.BassClef()\\n\\n myPart = m.stream.Part()\\n myPart_UpperStaff = m.stream.Part()\\n # set Clef UpperStaff\\n myPart_UpperStaff.append(upperStaffClef)\\n\\n # set TimeSignature UpperStaff\\n myPart_UpperStaff.append(time_signature_input_file)\\n \\n # set keySignature UpperStaff\\n myPart_UpperStaff.append(key_signature_input_file)\\n \\n myPart_LowerStaff = m.stream.Part()\\n # set Clef UpperStaff\\n myPart_LowerStaff.append(lowerStaffClef)\\n\\n # set TimeSignature LowerStaff\\n myPart_LowerStaff.append(time_signature_input_file)\\n \\n # set keySignature LowerStaff\\n myPart_LowerStaff.append(key_signature_input_file)\\n\\n # Do not use a Measure object\\n # If you use a Time Signature object without a Measure object\\n # when adding a notes, to a stream, measures are filled\\n # automatically bases on note lengths\\n myNote = m.note.Note()\\n\\n myPart_UpperStaff.partName=\\\"Piano Upper\\\"\\n myPart_LowerStaff.partName=\\\"Piano Lower\\\"\\n \\n print(\\\"\\\\n\\\\n\\\")\\n print(\\\"process measures\\\")\\n itrNote = m.note.Note()\\n if (X_new.shape[0] == Y_pred.shape[0]):\\n # Normal Score\\n cnt=0 # counter to sync X and Y (sync time and Notes)\\n curMeasure=1\\n noteCount=0\\n for e in X_new:\\n \\n # Decoding Y_pred: get note properies \\n # Do the encoding as inverse of the decoding (see above) \\n note_properties = Y_pred[cnt]\\n #print(\\\"!!! note_properties[\\\", cnt, \\\"]\\\", note_properties)\\n curNoteName=nc.getNoteName(int(round(note_properties[0])), enharmonic=False)\\n print(\\\"curNoteName\\\", curNoteName)\\n curNoteOctave = int(round(note_properties[1]))\\n #print(\\\"curNoteOctave\\\", curNoteOctave)\\n \\n # Process quarterDuration\\n curNotequarterDuration = roundTo(note_properties[2], base)\\n \\n itrMeasure=int(e[0])\\n itrOffset=e[1]\\n print(\\\"ToDo itrMeasure=\\\", itrMeasure, \\\"itrOffset:\\\", itrOffset)\\n \\n myNote=m.note.Note( name=curNoteName\\n ,quarterLength=curNotequarterDuration\\n ,octave=curNoteOctave\\n ,offset=itrOffset\\n #,type=\\\"quarter\\\" # use quarterLength or type not both\\n )\\n \\n # if you use a time signature object without a measure object then because of\\n # the time signature measures are filled automatically by notes based on\\n # its note duration\\n myPart_UpperStaff.insert(cnt, myNote) \\n noteCount=noteCount+1 \\n cnt=cnt+1\\n print(\\\"cnt:\\\", cnt) \\n else:\\n # Unbalanced Score\\n print(\\\"Program error: Score not balanced\\\") \\n \\n estimatedScore.insert(0, meta_data)\\n estimatedScore.insert(1, myPart_UpperStaff)\\n \\n \\n # *** Add a dummy LowerStaff with a dummy rest to create a Grand piano staff ***\\n # When more staves are used, all staves\\n # must be filled, before append to the total stream,\\n # otherwise you get a corrupted stream when\\n # empty staves are added to the total stream.\\n dummyRest = m.note.Rest()\\n dummyRest.duration.type='quarter'\\n myPart_LowerStaff.insert(cnt, dummyRest)\\n # If you do not want a grand staff comment statement below \\n # ToDo problem with creating lowerStaff !!!!!!!!!!!!!!!!!!!!!!\\n ##estimatedScore.insert(2, myPart_LowerStaff)\\n \\n return(estimatedScore) # create_estimated_score\",\n \"def preprocessing():\\n english_dictionary = nltk.corpus.brown.words()\\n slang_vocab = pickle.load(open('vocab_pattern_match_with_freq.pkl', 'rb'))\\n\\n normalize_english_dict = len(english_dictionary)\\n normalize_slang_vocab = 0\\n for w, n in slang_vocab.items():\\n normalize_slang_vocab += n\\n\\n words = {}\\n for w, n in Counter(english_dictionary).items():\\n words[w] = n/normalize_english_dict\\n \\n for w, n in slang_vocab.items():\\n if w not in words:\\n words[w] = 0.\\n words[w] += n/normalize_slang_vocab\\n\\n words_by_freq = [w for w,_ in sorted(words.items(), key=lambda x: x[1], reverse=True)]\\n\\n # Build a cost dictionary, assuming Zipf's law and cost = -math.log(probability).\\n #words = open(\\\"words_by_frequency.txt\\\").read().split()\\n wordcost = dict((k, log((i+1)*log(len(words_by_freq)))) for i,k in enumerate(words_by_freq))\\n maxword = max(len(x) for x in words_by_freq)\\n return wordcost,maxword\",\n \"def train(self, corpus): \\n for sentence in corpus.corpus: # iterate over sentences in the corpus\\n for token in sentence: # iterate over datums in the sentence\\n self.unigrams[token] += 1\\n self.total += 1\\n V = len(self.unigrams) # vocabulary size \\n for ug,count in self.unigrams.iteritems():\\n \\tself.f1[ug] = math.log10(count+1) - math.log10(self.total + V)\",\n \"def test(self, filename: str, info_extractor: Optional[InfoExtractor]):\\r\\n if self.model is None:\\r\\n raise RatingModel.RatingModelError(\\\"model is not loaded or trained yet\\\")\\r\\n doc, _ = loadDocumentIntoSpacy(filename, self.parser, self.nlp)\\r\\n\\r\\n print(\\\"Getting rating...\\\")\\r\\n if self._type == \\\"fixed\\\":\\r\\n print(\\\"working on fixed model\\\")\\r\\n if self.keywords is None:\\r\\n raise RatingModel.RatingModelError(\\\"Keywords not found\\\")\\r\\n\\r\\n seen_chunks_words, all_tokens_chunks = getAllTokensAndChunks(doc)\\r\\n\\r\\n # scoring\\r\\n temp_out = self.__trainKMWM(list(seen_chunks_words), list(all_tokens_chunks), self.keywords)\\r\\n if temp_out is None:\\r\\n raise RatingModel.RatingModelError(\\r\\n \\\"Either parser cannot detect text or too few words in resume for analysis. Most usually the former.\\\"\\r\\n )\\r\\n km_scores, wm_scores = temp_out\\r\\n # average of km/wm scores for all keywords\\r\\n km_score = np.mean(km_scores)\\r\\n wm_score = np.mean(wm_scores)\\r\\n final_score = km_score * wm_score\\r\\n elif self._type == \\\"lda\\\":\\r\\n if self.lda is None or self.dictionary is None or self.top_k_words is None:\\r\\n raise RatingModel.RatingModelError(\\\"No LDA found\\\")\\r\\n\\r\\n seen_chunks_words, all_tokens_chunks = getAllTokensAndChunks(doc)\\r\\n seen_chunks_words, all_tokens_chunks = (\\r\\n list(seen_chunks_words),\\r\\n list(all_tokens_chunks),\\r\\n )\\r\\n\\r\\n # scoring\\r\\n new_seen_chunks_words = self.__keep_top_k_words(seen_chunks_words)\\r\\n bow = self.dictionary.doc2bow(new_seen_chunks_words)\\r\\n doc_distribution = np.array(\\r\\n [tup[1] for tup in self.lda.get_document_topics(bow=bow)]\\r\\n )\\r\\n # get keywords and weights\\r\\n keywords = []\\r\\n all_pair_scores = []\\r\\n all_topic_scores = []\\r\\n all_diff_scores = []\\r\\n # take top 5 topics\\r\\n for j in doc_distribution.argsort()[-5:][::-1]:\\r\\n topic_prob = doc_distribution[j]\\r\\n # take top 5 words for each topic\\r\\n st = self.lda.show_topic(topicid=j, topn=5)\\r\\n sum_st = np.sum(list(map(lambda x: x[1], st)))\\r\\n pair_scores = []\\r\\n for pair in st:\\r\\n keywords.append(pair[0])\\r\\n pair_scores.append(pair[1])\\r\\n all_pair_scores.append(np.array(pair_scores))\\r\\n all_topic_scores.append(np.array(topic_prob))\\r\\n\\r\\n all_pair_scores = np.array(all_pair_scores)\\r\\n norm_all_pair_scores = all_pair_scores.T / np.sum(all_pair_scores, axis=1)\\r\\n norm_all_topic_scores = all_topic_scores / np.sum(all_topic_scores)\\r\\n all_diff_scores = (norm_all_pair_scores * norm_all_topic_scores).flatten()\\r\\n weights = pd.Series(all_diff_scores, index=keywords)\\r\\n weights.sort_values(ascending=False, inplace=True)\\r\\n\\r\\n temp_out = self.__trainKMWM(seen_chunks_words, all_tokens_chunks, keywords)\\r\\n if temp_out is None:\\r\\n print(\\r\\n \\\"Either parser cannot detect text or too few words in resume for analysis. Most usually the former. Skip document.\\\"\\r\\n )\\r\\n km_scores, wm_scores = temp_out\\r\\n\\r\\n # average of km/wm scores for all keywords\\r\\n km_score = np.dot(weights.values, km_scores)\\r\\n wm_score = np.dot(weights.values, wm_scores)\\r\\n\\r\\n final_score = km_score * wm_score\\r\\n\\r\\n # max_score = self.model[\\\"score\\\"].iloc[0] - np.std(self.model[\\\"score\\\"])\\r\\n # min_score = self.model[\\\"score\\\"].iloc[-1]\\r\\n mean = np.mean(self.model[\\\"score\\\"])\\r\\n sd = np.std(self.model[\\\"score\\\"])\\r\\n\\r\\n rating = min(10, max(0, round(5 + (final_score-mean)/sd, 2)))\\r\\n if info_extractor is not None:\\r\\n print(\\\"-\\\" * 20)\\r\\n\\r\\n # info_extractor.extractFromFile(filename)\\r\\n output= info_extractor.extractFromFile(filename)\\r\\n\\r\\n print(\\\"output:----\\\",output)\\r\\n print(\\\"-\\\" * 20)\\r\\n print(\\\"Rating: %.1f\\\" % rating)\\r\\n # if info_extractor is not None:\\r\\n # print(\\\"info extractor is not working\\\")\\r\\n # env = os.environ\\r\\n # subprocess.call([sys.executable, filename], env=env)\\r\\n return output\",\n \"def neural_rm3_prf(neu, ix, word_embs, doc_embs, corpus_name, corpus, doc_ids, queries, qfield, rank_path, run_name, es=None, fb_docs=10, fb_terms=10, qweight=0.5):\\n\\n\\t# project queries within doc latent space\\n\\tproj_queries = list()\\n\\tquery_ids = list()\\n\\tfor qid, qbody in queries.items():\\n\\t\\tproj_query = neu.query2emb(qbody[qfield], word_embs)\\n\\t\\tif proj_query is not None: # keep query\\n\\t\\t\\tproj_queries.append(proj_query)\\n\\t\\t\\tquery_ids.append(qid)\\n\\n\\t# compute the cosine similarity between docs and queries\\n\\tscores = cosine_similarity(doc_embs, proj_queries)\\n\\n\\tif es is not None: # open ranking \\n\\t\\tout = open(rank_path + '/' + run_name + '.txt', 'w')\\n\\n\\t# loop over queries and perform RM3 expansion\\n\\texp_queries = list()\\n\\t# loop over the cosine similarity scores\\n\\tfor qix in tqdm(range(scores.shape[1])):\\n\\t\\t# get the index of the top fb_docs documents from result list\\n\\t\\tfirst_qres = np.argsort(-scores[:, qix])[:fb_docs]\\n\\t\\t# store ids and scores of the retrieved feedback documents\\n\\t\\tids_and_scores = dict()\\n\\t\\tfor res in first_qres:\\n\\t\\t\\tif es is None: # perform RM3 using neural model after pseudo-relevance feedback\\n\\t\\t\\t\\tids_and_scores[res] = scores[res][qix]\\n\\t\\t\\telse: # perform RM3 using lexical model after pseudo-relevance feedback\\n\\t\\t\\t\\tids_and_scores[doc_ids[res]] = scores[res][qix]\\n\\n\\t\\tif es is None: # perform RM3 using neural model after pseudo-relevance feedback\\n\\t\\t\\t# get query feature vector and normalize to L1 norm\\n\\t\\t\\tqfv = create_query_vector(ix, word_embs.wv.vocab, ix.doc2bow(neu.tokenize_query(queries[query_ids[qix]][qfield])))\\n\\t\\t\\t# get relevance model feature vector (i.e., RM1)\\n\\t\\t\\trm1 = neural_relevance_model(ix, word_embs.wv.vocab, ids_and_scores, corpus, fb_terms)\\n\\t\\t\\t# interpolate qfv and rm1 (i.e., RM3)\\n\\t\\t\\trm3 = interpolate(qfv, rm1, qweight)\\n\\n\\t\\t\\t# extract terms and scores from rm3\\n\\t\\t\\trm3_terms = list(rm3.keys())\\n\\t\\t\\trm3_scores = np.array(list(rm3.values()))\\n\\t\\t\\t# project expanded query into document latent space\\n\\t\\t\\tproj_query = np.sum(np.multiply(word_embs.wv[rm3_terms], rm3_scores[:, np.newaxis]), axis=0)\\n\\t\\t\\t# append projected query to exp_queries\\n\\t\\t\\texp_queries.append(proj_query)\\n\\t\\telse: # perform RM3 using lexical model after pseudo-relevance feedback\\n\\t\\t\\t# get query feature vector and normalize to L1 norm\\n\\t\\t\\tqfv = es.scale_to_L1_norm(Counter(es.analyze_query(queries[query_ids[qix]][qfield])))\\n\\t\\t\\t# get relevance model feature vector (i.e., RM1)\\n\\t\\t\\trm1 = es.estimate_relevance_model(ids_and_scores, fb_terms)\\n\\t\\t\\t# interpolate qfv and rm1 (i.e., RM3)\\n\\t\\t\\trm3 = es.interpolate(qfv, rm1, qweight)\\n\\n\\t\\t\\t# build boosted term queries\\n\\t\\t\\tterm_queries = [{'term': {es.field: {'value': term, 'boost': score}}} for term, score in rm3.items()]\\n\\t\\t\\t# combine term queries w/ SHOULD operator\\n\\t\\t\\texpanded_query = {'query': { 'bool': {'should': term_queries}}}\\n\\n\\t\\t\\t# perform lexical search after pseudo-relevance feedback\\n\\t\\t\\tprf_qres = es.es.search(index=es.index, size=1000, body=expanded_query)\\n\\t\\t\\tfor idx, rank in enumerate(prf_qres['hits']['hits']):\\n\\t\\t\\t\\tout.write('%s %s %s %d %f %s\\\\n' % (query_ids[qix], 'Q0', rank['_id'], idx, rank['_score'], run_name))\\n\\n\\tif es is None: # perform neural search after pseudo-relevance feedback\\n\\t\\tneu.semantic_search(doc_ids, doc_embs, query_ids, exp_queries, rank_path, run_name)\\n\\telse: # close ranking\\n\\t\\tout.close()\\n\\treturn True\",\n \"def normalise(self):\\n total = 0\\n for feat_set in self.values():\\n for value in feat_set.values():\\n total += value\\n norm = 1/total\\n for feat_set in self.values():\\n for feat in feat_set:\\n feat_set[feat] *= norm\\n return self\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.71356165","0.65784204","0.63003385","0.61383694","0.5840401","0.5776091","0.5764244","0.5727677","0.57261246","0.572611","0.57091475","0.568436","0.56770676","0.5667565","0.5643428","0.561692","0.5612546","0.5585787","0.5582222","0.55724305","0.55332166","0.552671","0.5512147","0.5495726","0.5488364","0.54824233","0.5470661","0.54385555","0.5433838","0.54274434","0.54213864","0.54185563","0.5417461","0.54134893","0.54001445","0.5387975","0.5380011","0.5371719","0.53650033","0.53532237","0.5352666","0.5350004","0.5347578","0.53199613","0.5307769","0.53026867","0.5301548","0.52835196","0.52816826","0.52777815","0.52579606","0.5256259","0.5232538","0.5230818","0.5221045","0.5214689","0.52116734","0.52111804","0.52093637","0.5206754","0.52048266","0.5196566","0.5192614","0.51912457","0.5186003","0.5181442","0.51724106","0.5170665","0.516917","0.5166592","0.51594996","0.51526093","0.51453054","0.5135828","0.5132466","0.51272595","0.5126231","0.51233643","0.51207685","0.5117983","0.50938123","0.50895566","0.5085973","0.508508","0.50811493","0.50777304","0.5068971","0.50683254","0.50634265","0.50602186","0.5059129","0.5052397","0.5048162","0.50436157","0.5034752","0.5028249","0.5022677","0.50223815","0.5021527","0.5014918"],"string":"[\n \"0.71356165\",\n \"0.65784204\",\n \"0.63003385\",\n \"0.61383694\",\n \"0.5840401\",\n \"0.5776091\",\n \"0.5764244\",\n \"0.5727677\",\n \"0.57261246\",\n \"0.572611\",\n \"0.57091475\",\n \"0.568436\",\n \"0.56770676\",\n \"0.5667565\",\n \"0.5643428\",\n \"0.561692\",\n \"0.5612546\",\n \"0.5585787\",\n \"0.5582222\",\n \"0.55724305\",\n \"0.55332166\",\n \"0.552671\",\n \"0.5512147\",\n \"0.5495726\",\n \"0.5488364\",\n \"0.54824233\",\n \"0.5470661\",\n \"0.54385555\",\n \"0.5433838\",\n \"0.54274434\",\n \"0.54213864\",\n \"0.54185563\",\n \"0.5417461\",\n \"0.54134893\",\n \"0.54001445\",\n \"0.5387975\",\n \"0.5380011\",\n \"0.5371719\",\n \"0.53650033\",\n \"0.53532237\",\n \"0.5352666\",\n \"0.5350004\",\n \"0.5347578\",\n \"0.53199613\",\n \"0.5307769\",\n \"0.53026867\",\n \"0.5301548\",\n \"0.52835196\",\n \"0.52816826\",\n \"0.52777815\",\n \"0.52579606\",\n \"0.5256259\",\n \"0.5232538\",\n \"0.5230818\",\n \"0.5221045\",\n \"0.5214689\",\n \"0.52116734\",\n \"0.52111804\",\n \"0.52093637\",\n \"0.5206754\",\n \"0.52048266\",\n \"0.5196566\",\n \"0.5192614\",\n \"0.51912457\",\n \"0.5186003\",\n \"0.5181442\",\n \"0.51724106\",\n \"0.5170665\",\n \"0.516917\",\n \"0.5166592\",\n \"0.51594996\",\n \"0.51526093\",\n \"0.51453054\",\n \"0.5135828\",\n \"0.5132466\",\n \"0.51272595\",\n \"0.5126231\",\n \"0.51233643\",\n \"0.51207685\",\n \"0.5117983\",\n \"0.50938123\",\n \"0.50895566\",\n \"0.5085973\",\n \"0.508508\",\n \"0.50811493\",\n \"0.50777304\",\n \"0.5068971\",\n \"0.50683254\",\n \"0.50634265\",\n \"0.50602186\",\n \"0.5059129\",\n \"0.5052397\",\n \"0.5048162\",\n \"0.50436157\",\n \"0.5034752\",\n \"0.5028249\",\n \"0.5022677\",\n \"0.50223815\",\n \"0.5021527\",\n \"0.5014918\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.75903165"},"document_rank":{"kind":"string","value":"0"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":882,"numItemsPerPage":100,"numTotalItems":95772,"offset":88200,"length":100}},"jwt":"eyJhbGciOiJFZERTQSIsImtpZCI6IjVHZDBvd0g5MTM2eDZjc1FvbE1zcktNWUZoRVFoUm5PVVVybEpjOUhaUEEifQ.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc4NTgyMTE1MywianRpIjoiMmNjZjU1MTItMzA3NS00N2Y3LTg0NWEtMDY1MGUzMzljNWJmIiwic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1weXRob24tdjEiLCJleHAiOjE3ODU4MjQ3NTMsImlzcyI6Imh0dHBzOi8vaHVnZ2luZ2ZhY2UuY28ifQ.tTf5m-JEYw1xj-VLW5YvHkR9w2IJfJxb14y_hxxQAg3fycUWMqLNaNqurrDJfjj847OY025sUoLWqRpQiq76Cg","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":95772,"numBytesParquet":1928375891}]},"discussionsStats":{"closed":1,"open":1,"total":2},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
query stringlengths 9 3.4k | document stringlengths 9 87.4k | metadata dict | negatives listlengths 4 101 | negative_scores listlengths 4 101 | document_score stringlengths 3 10 | document_rank stringclasses 102
values |
|---|---|---|---|---|---|---|
Update rt_import_table with current import table data. | def getImportTableData(self):
def imp_cb(ea, name, ord):
"""
Import enumeration callback function. used by idaapi.enum_import_names .
"""
tmpImports.append([self.current_module_name, ea, name, ord])
return True
# Contains static import table... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _update_import_and_file(self, import_, request, reupload):\n with transaction.atomic():\n # update all parameters from the request. Since this is a re-upload,\n # and essentially the same as creating a new import, we'll allow\n # redefinition of any user-editable paramet... | [
"0.5915137",
"0.58620447",
"0.5678288",
"0.56135076",
"0.55647236",
"0.55594844",
"0.55472755",
"0.5461735",
"0.5411304",
"0.5343037",
"0.5324755",
"0.53226554",
"0.5316948",
"0.53051794",
"0.5296203",
"0.52784353",
"0.5259197",
"0.52571213",
"0.52548677",
"0.52499926",
"0.52... | 0.5641551 | 3 |
Import enumeration callback function. used by idaapi.enum_import_names . | def imp_cb(ea, name, ord):
tmpImports.append([self.current_module_name, ea, name, ord])
return True | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def on_enum_parse(self, ctx):\n return None",
"def test_check_enumtype(self):\n self.cursor.execute(self.imp_seg)\n insert = \"\"\"\n INSERT INTO imports.import_segment(\n avancement, statut, id_import)\n VALUES (\n 'Tracé arrêté','VV', 2);\n \"\"\"... | [
"0.5975272",
"0.5569344",
"0.54526323",
"0.5431298",
"0.5389418",
"0.53656834",
"0.5266544",
"0.5242703",
"0.52237386",
"0.510992",
"0.5063832",
"0.5057315",
"0.5028027",
"0.50233865",
"0.49697566",
"0.49682066",
"0.49666214",
"0.4952617",
"0.4941182",
"0.4929306",
"0.4907129... | 0.52747524 | 6 |
Find the function location in the IAT table based on its runtime address | def find_func_iat_adrs(self, ea):
if ea in self.rt_import_table:
(module_name, iat_ea, name, ord) = self.rt_import_table[ea]
return iat_ea, module_name
return None, None | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getprocaddress(self, func):\n for _, f, n in self.exports():\n if str(n or '') == func:\n return f\n return None",
"def getFunctionAt(self, entryPoint: ghidra.program.model.address.Address) -> ghidra.program.model.listing.Function:\n ...",
"def get_function_lo... | [
"0.6508826",
"0.64521825",
"0.6380106",
"0.63773316",
"0.6261593",
"0.61946326",
"0.6187166",
"0.61593807",
"0.6145786",
"0.60551775",
"0.59359384",
"0.58871233",
"0.57870525",
"0.5758408",
"0.575537",
"0.5674694",
"0.5614836",
"0.55986655",
"0.557276",
"0.5558949",
"0.555036... | 0.5854501 | 12 |
Checks the given ea and returns True if the function is an imported function (loacted in IAT) | def is_func_imported(self, ea):
# If address is located in IAT
if ea in self.rt_import_table:
return True
return False | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_func_module(self, ea, mod_name):\n if ea in self.rt_import_table:\n (module, ea, name, ord) = self.rt_import_table[ea]\n if module == mod_name:\n return True\n\n return False",
"def is_already_import_function(self, fn):\n if isinstance(fn, basestri... | [
"0.72709537",
"0.7194983",
"0.67754626",
"0.64962727",
"0.6480057",
"0.6466913",
"0.643993",
"0.63932014",
"0.6297886",
"0.6242692",
"0.6204381",
"0.6190035",
"0.6064494",
"0.60241413",
"0.60094076",
"0.59370065",
"0.59034634",
"0.58287877",
"0.58248556",
"0.5818206",
"0.5816... | 0.8698025 | 0 |
Check if function at ea is part of the imported module | def is_func_module(self, ea, mod_name):
if ea in self.rt_import_table:
(module, ea, name, ord) = self.rt_import_table[ea]
if module == mod_name:
return True
return False | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_func_imported(self, ea):\n # If address is located in IAT\n if ea in self.rt_import_table:\n return True\n\n return False",
"def is_already_import_function(self, fn):\n if isinstance(fn, basestring):\n for descriptor in self.import_entries:\n ... | [
"0.7575263",
"0.7161951",
"0.7142891",
"0.706428",
"0.7060444",
"0.6887674",
"0.67523146",
"0.6639057",
"0.6610212",
"0.6580285",
"0.6576476",
"0.65758574",
"0.6548188",
"0.652603",
"0.64948887",
"0.6486134",
"0.64257395",
"0.6387661",
"0.6354225",
"0.6353084",
"0.63428366",
... | 0.83145916 | 0 |
Check if module has loaded functions in the IAT | def is_loaded_module(self, module_name):
for (module, ea, name, ord) in self.rt_import_table.values():
if module == module_name:
return True
return False | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_func_imported(self, ea):\n # If address is located in IAT\n if ea in self.rt_import_table:\n return True\n\n return False",
"def is_loaded(self):\n return os.path.exists(IPMIService.IPMI_DEV)",
"def module_present(module, load=True):\n with open('/proc/modules',... | [
"0.6796747",
"0.67405146",
"0.6614088",
"0.6595028",
"0.6520298",
"0.64521915",
"0.6437729",
"0.63793755",
"0.63466257",
"0.6292399",
"0.62761927",
"0.62409914",
"0.6231317",
"0.61804575",
"0.6164748",
"0.61443764",
"0.60850936",
"0.60510194",
"0.6034376",
"0.6029556",
"0.601... | 0.69943684 | 0 |
Print the debug imports | def print_debug_imports(self):
for dbgImp in self.rt_import_table:
(module_name, ea, name, ord) = self.rt_import_table[dbgImp]
idaapi.msg("ModuleName - %s,\t\tFunctionName - %s,\t\t Address in IAT - %s,\t\t Real address - %s\n" %
(module_name, name, hex(ea), hex(db... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def printImported():\r\n ll = sorted([mod for mod in sys.modules if mod.find('pubsub') >= 0])\r\n\r\n py2and3.print_('\\n'.join(ll))",
"def debug():",
"def log_imported_packages(self):\n imported_packages_dict = self.get_imported_packages()\n\n res_str = \"\\n\".join(f\"{module}: {version_n... | [
"0.69145983",
"0.68204194",
"0.6735605",
"0.6709566",
"0.6446388",
"0.64422834",
"0.63457614",
"0.6312722",
"0.6241582",
"0.6180094",
"0.6085222",
"0.6037665",
"0.6033095",
"0.600908",
"0.5980291",
"0.59514123",
"0.5940747",
"0.59297377",
"0.59286475",
"0.5924386",
"0.59223",... | 0.8112144 | 0 |
return part of dataframe. google api allows on 100 coordinates in one request | def split_df(data: pd.DataFrame, start: int, stop: int) -> pd.DataFrame:
df = data.iloc[start:stop, :].copy()
df['coord'] = df.apply(lambda x: f"{x['stopLat']}, {x['stopLon']}", axis=1)
return df.sort_values('coord') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getGPSrecords(t_start,t_end):\n client=connectionDB()\n query = '''\n select device_id as user,x as lon,y as lat,datetime\n from cadi360-sac.kovid_dev.records\n where datetime>=@t_start and datetime<=@t_end and x!=y and x is not null;\n '''\n job_config = bq.QueryJo... | [
"0.64067936",
"0.60682946",
"0.6056974",
"0.59641236",
"0.59271675",
"0.587147",
"0.58632284",
"0.5834412",
"0.5827075",
"0.5723605",
"0.5723053",
"0.5699515",
"0.56841433",
"0.567559",
"0.5663438",
"0.5655374",
"0.5646891",
"0.5600372",
"0.56001914",
"0.5598874",
"0.5590615"... | 0.5584263 | 21 |
return list of splited dataframes | def prepare_stops_to_request(df: pd.DataFrame) -> list:
return [split_df(df, i, i + 100) for i in range(0, len(df), 100)] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _split_by_filename(\n df: pd.DataFrame):\n data = namedtuple('data', ['filename', 'object'])\n gb = df.groupby('filename')\n return [data(filename, gb.get_group(x)) for filename, x in zip(gb.groups.keys(), gb.groups)]",
"def splitting_df(dataframe):\n dataframe = dataframe.dropna()\n index ... | [
"0.6931345",
"0.6758762",
"0.6697154",
"0.6572435",
"0.6540929",
"0.640965",
"0.6394982",
"0.63716984",
"0.6367447",
"0.63674307",
"0.63355523",
"0.6308027",
"0.62738186",
"0.625152",
"0.61773694",
"0.61694336",
"0.61681116",
"0.6078391",
"0.6028715",
"0.6028631",
"0.6020443"... | 0.66597307 | 3 |
requests to google api in loop by splited dataframes | def google_api_request(dfs_splited: list, time: datetime.datetime) -> list:
return [get_time_of_travel(
ORIGINS_COORD, desttination['coord'].to_list(), time)
for desttination in dfs_splited] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def download_data(base_url,\n lista_anni,\n lista_inquinanti):\n \n # Inizializziamo la lista dei df ognuno dei quali corrisponde ad un inquinante\n df_template = pd.DataFrame(columns=['jd','h','1','2','3','4','5','6','7','8','9','10','11','13','14','15','16','38','39','4... | [
"0.6280463",
"0.6077709",
"0.5982123",
"0.5944906",
"0.58843803",
"0.5806659",
"0.57939994",
"0.5791003",
"0.57313496",
"0.5685324",
"0.5681774",
"0.5666028",
"0.5626639",
"0.5623092",
"0.56218714",
"0.55747604",
"0.5573529",
"0.55312276",
"0.5520171",
"0.5489067",
"0.5487217... | 0.5099913 | 87 |
extract time from google api answers add results to splited dataframes | def add_times_of_travels(dfs_splited: list, time: datetime.datetime) -> list:
results = google_api_request(dfs_splited, time)
logger.debug("Ready answer for request")
print(results)
travel_times = [[i.get('duration', {}).get('value')
for i in result['rows'][0]['elements']]
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _extract_mql_timeseries_data(response):\n lkeys = response['timeSeriesDescriptor'].get('labelDescriptors', [])\n # (fixme): Is there a better way to fetch and extract this data?\n for result in response.get('timeSeriesData', []):\n data = {}\n lvalues = result.get('labelValues', [])\n ... | [
"0.6128631",
"0.56953675",
"0.5649638",
"0.56355083",
"0.56123745",
"0.5559543",
"0.5550473",
"0.5539186",
"0.5497718",
"0.5465875",
"0.54352415",
"0.54233277",
"0.5397615",
"0.53968203",
"0.5377205",
"0.5354905",
"0.5308679",
"0.528548",
"0.5274197",
"0.5265269",
"0.5255181"... | 0.6170402 | 0 |
save data from requests to csv file | def save_times_data(time: datetime.datetime):
df = pd.read_csv(STOPS_3CITY, index_col=0)
logger.debug("Data readed")
dfs_splited = prepare_stops_to_request(df)
logger.debug("Dataframe prepared to request")
dfs_with_times = add_times_of_travels(dfs_splited, time)
logger.debug("Added times of tr... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def generate_dataset_csv(request):\n\n response = csv_export(request,Dataset)\n return response",
"def send_csv_reply(self, request, result, tags):\n request.setHeader('Content-disposition', 'attachment; filename=%s.csv' % \n result[0]['uuid'])\n if tags[0][0]:\n ... | [
"0.6901091",
"0.6867677",
"0.6726861",
"0.6717445",
"0.671433",
"0.66691685",
"0.6638603",
"0.6592587",
"0.65718293",
"0.65369505",
"0.6473569",
"0.6468159",
"0.6452776",
"0.6426813",
"0.64249146",
"0.63594216",
"0.63071746",
"0.630669",
"0.629797",
"0.6273114",
"0.6273114",
... | 0.0 | -1 |
Create a source from path. `cached` flag activates caching. This can be used to optimize performance if no changes are expected on the filesystem after the source was created. This is usually the case with static generation (as opposed to dynamic preview). If `settings.ini` in the source contains `[paths]` section with... | def create_source(path, cached=False):
source = FileSource(path)
try:
config = source.read_config()
ap = config.get('paths', 'additional-paths').strip()
additional_paths = [_f for _f in ap.split() if _f]
except (configparser.NoSectionError, configparser.NoOptionError, IOError):
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def from_path(cls, path):\n if not os.path.exists(path):\n raise ValueError(\"Invalid path: {}\".format(path))\n\n slist = cls()\n for f in glob.glob(path + '/*.fits'):\n slist.append(cls.source_class.from_file(f))\n\n return slist",
"def _get_local_src(self, pat... | [
"0.581367",
"0.55751705",
"0.5530774",
"0.5507068",
"0.54484135",
"0.5272039",
"0.52171546",
"0.52124417",
"0.51219",
"0.5066204",
"0.50386703",
"0.5028943",
"0.5028943",
"0.5023799",
"0.50104564",
"0.49704832",
"0.49593455",
"0.49291563",
"0.49159428",
"0.4871208",
"0.486494... | 0.83463293 | 0 |
Context manager for keeping the original request data. | def keep_request_data(context):
attr_to_value = preserve_attributes(
context, [k for k, _ in default_request_data()])
yield
restore_attributes(context, attr_to_value) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def process_request(self, req):\n req.context = self.make_context(req)",
"def _stash_request_info(request, subject_id, method, version):\n request.environ['api.cache.subject_id'] = subject_id\n request.environ['api.cache.method'] = method\n request.environ['api.cache.version'] = versi... | [
"0.7468367",
"0.65382993",
"0.64844984",
"0.6480656",
"0.63075584",
"0.63048005",
"0.62223434",
"0.6155639",
"0.6112914",
"0.6082265",
"0.6061507",
"0.60148966",
"0.5995146",
"0.5915906",
"0.58799344",
"0.5822937",
"0.5812772",
"0.57544523",
"0.57509345",
"0.5732875",
"0.5718... | 0.76473796 | 0 |
a decorator to keep a copy of a list of attributes of the context before execute_steps and put the value back aftwards | def keep_attributes(context, *attributes):
attr_to_value = preserve_attributes(context, attributes)
yield
restore_attributes(context, attr_to_value) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def clean_step(step_impl):\n @functools.wraps(step_impl)\n def wrapped(context, *args, **kwargs):\n with keep_request_data(context):\n returned = step_impl(context, *args, **kwargs)\n return returned\n return wrapped",
"def wrappedFn(*args, **kw):\n setCurrent(context)\n f... | [
"0.59297305",
"0.5901005",
"0.582973",
"0.57201135",
"0.55795956",
"0.55504346",
"0.55504346",
"0.54695153",
"0.5366268",
"0.5347289",
"0.5329794",
"0.5302937",
"0.52942616",
"0.52918065",
"0.52745414",
"0.5274194",
"0.5261473",
"0.52610093",
"0.52361965",
"0.52287334",
"0.52... | 0.55476534 | 7 |
a decorator for a step definition which keeps the original request data | def clean_step(step_impl):
@functools.wraps(step_impl)
def wrapped(context, *args, **kwargs):
with keep_request_data(context):
returned = step_impl(context, *args, **kwargs)
return returned
return wrapped | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def step_impl(context):\n pass",
"def step_impl(context):\n pass",
"def step(self, func, *args):\n @wraps(func)\n def cached_func(*args):\n \"\"\"Step wise cache function\"\"\"\n try: # fails if cache is not instantiated or if it is None\n value = self.... | [
"0.6607942",
"0.6607942",
"0.6182455",
"0.60113436",
"0.59532183",
"0.58945876",
"0.5787957",
"0.57758397",
"0.57647324",
"0.5693262",
"0.56900024",
"0.5578022",
"0.5553434",
"0.5513645",
"0.5507526",
"0.5473006",
"0.5470868",
"0.54328907",
"0.54222167",
"0.54109013",
"0.5410... | 0.78688955 | 0 |
Copy the data to different keys and reset the value to default. subsequent steps | def reset_request_data(context):
for name, default in default_request_data():
setattr(context, name, default) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _restore_default(self):\n self._data = self._default",
"def DefaultData():\n return copy.deepcopy(DEFAULT_DATA)",
"def reset(self):\n self.data = self._defaults",
"def _add_missing_keys(self):\n for k, v in self.defaults.items():\n if k not in self.data:\n ... | [
"0.71549267",
"0.68383586",
"0.67272043",
"0.62640214",
"0.62245035",
"0.61204815",
"0.61100584",
"0.60556036",
"0.6049608",
"0.6048596",
"0.6044746",
"0.6024124",
"0.6011444",
"0.6009135",
"0.5993145",
"0.59137905",
"0.5899196",
"0.5864622",
"0.583439",
"0.58194613",
"0.5812... | 0.60246813 | 11 |
Execute steps with the keep_request_data context manager. Useful for calling execute_steps during request build up. | def clean_execute_steps(context, steps_text, save_response_data=None):
with keep_request_data(context):
context.reset_request_data()
context.execute_steps(steps_text)
if save_response_data:
setattr(context, save_response_data,
context.response_object.get('data... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def clean_step(step_impl):\n @functools.wraps(step_impl)\n def wrapped(context, *args, **kwargs):\n with keep_request_data(context):\n returned = step_impl(context, *args, **kwargs)\n return returned\n return wrapped",
"def handle_execution(self, data, *args, **kwargs):\n ... | [
"0.62266123",
"0.51828146",
"0.51828146",
"0.51276684",
"0.5112461",
"0.5001797",
"0.49459624",
"0.49085695",
"0.48658034",
"0.48318595",
"0.47813115",
"0.4757837",
"0.47547454",
"0.4702506",
"0.47013927",
"0.46367842",
"0.46156824",
"0.46095034",
"0.46075216",
"0.4599945",
"... | 0.6666166 | 0 |
Executes the code before all the tests are run | def before_all(context):
set_services(context)
context.api = {}
context.repositories = {}
for service, location in context.services.items():
url = urlparse.urlparse(location)
api = API(url.scheme + '://' + url.netloc, async=False)
try:
context.api[service] = getattr(... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def before_run_tests(cls):\n pass",
"def do_before(self):\r\n pass",
"def setUp(self):\r\n print('---------------------------------------------\\n')\r\n print('STARTING TEST...')",
"def setUp(self):\r\n # nothing to do, all tests use different things\r\n pass",
"de... | [
"0.8087113",
"0.7518904",
"0.7508176",
"0.7462158",
"0.7369487",
"0.73578703",
"0.7343755",
"0.7340046",
"0.7339334",
"0.7284059",
"0.72680444",
"0.7267455",
"0.72261834",
"0.71994185",
"0.71851027",
"0.71804404",
"0.71804404",
"0.71801525",
"0.7139647",
"0.7138644",
"0.71386... | 0.0 | -1 |
Generate a version number string from the specified parts | def generate_version(parts):
version = '.'.join([str(part) for part in parts[0:2]])
if len(parts) > 3:
version += parts[3]
if len(parts) > 4:
version += str(parts[4])
return version | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _build_version(self, version, num_of_digits):\n version = \"{}\".format(version).replace(\".\", \"\").replace(\" \", \"\").strip()\n num_of_digits_to_add = (num_of_digits - len(version))\n version += (\"0\" * num_of_digits_to_add)\n version = int(version)\n return version",
... | [
"0.73418146",
"0.71678543",
"0.7095713",
"0.69950414",
"0.6820756",
"0.67819726",
"0.6705109",
"0.66558605",
"0.6654782",
"0.6620144",
"0.65936625",
"0.6525427",
"0.652354",
"0.6509772",
"0.650463",
"0.64316434",
"0.64076847",
"0.6388761",
"0.63629085",
"0.63157195",
"0.63157... | 0.8655365 | 0 |
is_compatible_with(same_version) should return True | def test_equal(scraper):
assert scraper.is_compatible_with(punters_client.__version__) is True | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_compatible_version(self, version: str) -> bool:\n return compatible_go_version(compiler_version=self.version, target_version=version)",
"def python_compatible():\n result = False\n req_ver = vers.convert('3.9.5')\n pythonver = vers.convert('{major}.{minor}.{micro}'.format(major=sys.version... | [
"0.76063025",
"0.73663646",
"0.7263448",
"0.7193975",
"0.70702976",
"0.7024495",
"0.7013835",
"0.69321775",
"0.6871281",
"0.68417925",
"0.67524064",
"0.67198217",
"0.665712",
"0.6595801",
"0.65513986",
"0.65497744",
"0.6530806",
"0.65013665",
"0.64934397",
"0.6492665",
"0.647... | 0.6841602 | 10 |
is_compatible_with(new_major_version) should return False | def test_major(scraper, version_parts):
new_version_parts = list(version_parts)
new_version_parts[0] = int(new_version_parts[0]) + 1
assert scraper.is_compatible_with(generate_version(new_version_parts)) is False | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def python_compatible():\n result = False\n req_ver = vers.convert('3.9.5')\n pythonver = vers.convert('{major}.{minor}.{micro}'.format(major=sys.version_info.major,\n minor=sys.version_info.minor,\n ... | [
"0.7419889",
"0.72994316",
"0.7186177",
"0.7178467",
"0.7003777",
"0.6935396",
"0.69221586",
"0.68922585",
"0.68405575",
"0.68239206",
"0.6777351",
"0.6765998",
"0.6757105",
"0.6688952",
"0.66813433",
"0.6674605",
"0.66677177",
"0.66594785",
"0.6655677",
"0.65978026",
"0.6574... | 0.7109872 | 4 |
is_compatible_with(new_minor_version) should return True | def test_minor(scraper, version_parts):
new_version_parts = list(version_parts)
new_version_parts[1] = int(new_version_parts[1]) + 1
assert scraper.is_compatible_with(generate_version(new_version_parts)) is True | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def python_compatible():\n result = False\n req_ver = vers.convert('3.9.5')\n pythonver = vers.convert('{major}.{minor}.{micro}'.format(major=sys.version_info.major,\n minor=sys.version_info.minor,\n ... | [
"0.7431041",
"0.7178158",
"0.7127145",
"0.703042",
"0.6996341",
"0.69099504",
"0.6851447",
"0.6850589",
"0.6769176",
"0.6769176",
"0.6756499",
"0.6756499",
"0.6756499",
"0.6756499",
"0.6734679",
"0.6699222",
"0.66385555",
"0.6627716",
"0.66248006",
"0.66018736",
"0.65530646",... | 0.72599 | 1 |
is_compatible_with(new_patch_version) should return True | def test_patch(scraper, version_parts):
new_version_parts = list(version_parts)
new_version_parts[2] = int(new_version_parts[2]) + 1
assert scraper.is_compatible_with(generate_version(new_version_parts)) is True | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def compatible_version(self):\n note_version = self.py_version\n py_version = sys.version_info\n if note_version[0] != py_version[0]:\n return False\n if len(note_version) > 1 and note_version[1] > py_version[1]:\n return False\n return True",
"def python_... | [
"0.71203923",
"0.709437",
"0.7029229",
"0.6806851",
"0.6690878",
"0.6670734",
"0.6650424",
"0.66464555",
"0.6637667",
"0.66017705",
"0.65836996",
"0.65563416",
"0.65185434",
"0.64751756",
"0.64673984",
"0.64471287",
"0.6443312",
"0.64148366",
"0.6394978",
"0.6340778",
"0.6311... | 0.7072563 | 2 |
is_compatible_with(new_pre_release_version) should return True | def test_pre_release(scraper, version_parts):
new_version_parts = list(version_parts)
if len(new_version_parts) > 4:
new_version_parts[4] = int(new_version_parts[4]) + 1
elif len(new_version_parts) > 3:
new_version_parts.append(1)
else:
new_version_parts.extend(['a', 1])
as... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def python_compatible():\n result = False\n req_ver = vers.convert('3.9.5')\n pythonver = vers.convert('{major}.{minor}.{micro}'.format(major=sys.version_info.major,\n minor=sys.version_info.minor,\n ... | [
"0.69594973",
"0.69137317",
"0.68093014",
"0.68081164",
"0.6790292",
"0.67893136",
"0.6782805",
"0.6780227",
"0.6761403",
"0.6713203",
"0.6705038",
"0.6672537",
"0.6574082",
"0.6568607",
"0.6520334",
"0.65041685",
"0.6493881",
"0.64645916",
"0.64434403",
"0.6436773",
"0.64286... | 0.7485356 | 0 |
Plays FizzBuzz. Prints Fizz if number is a multiple of 3. Prints Buzz if its a multiple of 5. Prints FizzBuzz if its a multiple of both 3 and 5 or 15. Else Prints The Number Itself. >>> fizz_buzz(1,7) '1 2 Fizz 4 Buzz Fizz 7 ' >>> fizz_buzz(1,0) | def fizz_buzz(number: int, iterations: int) -> str:
if not isinstance(iterations, int):
raise ValueError("iterations must be defined as integers")
if not isinstance(number, int) or not number >= 1:
raise ValueError(
"""starting number must be
and integer and ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def fizz_buzz(num):\n \n if ((num%3 == 0) and (num%5 == 0)):\n print(\"fizzbuzz\")\n elif num%3 == 0:\n print(\"fizz\")\n elif num%5 == 0:\n print(\"buzz\")\n else:\n print(num)",
"def fizz_buzz(number: int):\n if number % 3 == 0 and number % 5 == 0:\n return ... | [
"0.8507365",
"0.8470485",
"0.8325514",
"0.8104233",
"0.79256225",
"0.765522",
"0.764915",
"0.7628422",
"0.7582326",
"0.7572446",
"0.7536319",
"0.74917835",
"0.7278464",
"0.7265207",
"0.7253029",
"0.7226124",
"0.7212974",
"0.69019777",
"0.6897921",
"0.68879646",
"0.66973746",
... | 0.74849206 | 12 |
Checks if the string representation of i has a palindrome. | def has_palindrome(i, start, length):
s = str(i)[start:start+length]
return s[::-1] == s | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def check_palindrome(s):\n return s[::-1] == s",
"def is_palindrome_v1(s):\n return reverse(s) == s",
"def isPalindrome(s):\r\n return isPal(toChars(s))",
"def isPalindrome(string):\n for i in range(len(string)//2):\n if string[i] != string[(i*-1)-1]:\n return False\n return ... | [
"0.8114155",
"0.8076034",
"0.806918",
"0.80685186",
"0.8034092",
"0.8011662",
"0.7984324",
"0.79701346",
"0.7967069",
"0.7956594",
"0.7931917",
"0.7908397",
"0.787151",
"0.7822591",
"0.7818453",
"0.78144264",
"0.7814022",
"0.78086764",
"0.774382",
"0.77328235",
"0.77241296",
... | 0.79356164 | 10 |
Checks if the integer (i) has the desired properties. | def check(i):
return (has_palindrome(i, 2, 4) and
has_palindrome(i+1, 1, 5) and
has_palindrome(i+2, 1, 4) and
has_palindrome(i+3, 0, 6)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def contains(self, i):\n return self.__qp[i] != -1",
"def isAttribute(self, p_int): # real signature unknown; restored from __doc__\n return False",
"def checkIfThereIsData(self, i):\n _, amountOfThings = self.weaviate.Get(\"/\" + i)\n if len(amountOfThings[i]) == 0:\n re... | [
"0.5835308",
"0.574011",
"0.57373244",
"0.5660355",
"0.5572718",
"0.5551574",
"0.553951",
"0.5532166",
"0.5510792",
"0.55001837",
"0.5464281",
"0.54312027",
"0.54216486",
"0.5411652",
"0.53876966",
"0.53804594",
"0.5376361",
"0.5373734",
"0.5371286",
"0.53499705",
"0.5319617"... | 0.0 | -1 |
Enumerate the sixdigit numbers and print any winners. | def check_all():
i = 100000
while i <= 999996:
if check(i):
print(i)
i = i + 1 | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def eg_six():\n\n for rx in (stats.tiles(stats.scottKnot([creation.RX([101, 100, 99, 101, 99.5, 101, 100, 99, 101, 99.5], \"rx1\"), creation.RX([101, 100, 99, 101, 100, 101, 100, 99, 101, 100], \"rx2\"), creation.RX([101, 100, 99.5, 101, 99, 101, 100, 99.5, 101, 99], \"rx3\"), creation.RX([101, 100, 99, 101, 10... | [
"0.6002012",
"0.5909295",
"0.58463585",
"0.5792474",
"0.5789559",
"0.57514817",
"0.5671586",
"0.5595201",
"0.55814606",
"0.5575328",
"0.5573297",
"0.5567866",
"0.5508778",
"0.5494734",
"0.54946303",
"0.5463247",
"0.5457922",
"0.54554546",
"0.5450795",
"0.5441073",
"0.542757",... | 0.4983409 | 99 |
Create a kame object, at the goku's current position. | def __init__(self, ai_settings, screen, goku):
super(Kame, self).__init__()
self.screen = screen
# Create kame rect at (0, 0), then set correct position.
self.image = pygame.image.load('kame.bmp')
self.rect = self.image.get_rect()
self.rect.centerx = goku.rect.cen... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create(self, pos):\n self.pos = pos",
"def create_new_game(self):\r\n global game_instance\r\n game_instance = game.Game()\r\n game_instance.set_word(db.get_random_word())\r\n print(\"\\n---------NEW GAME---------\")\r\n self.current_word = \"----\"",
"def new_object(s... | [
"0.6158132",
"0.56564254",
"0.5597445",
"0.5542725",
"0.5536095",
"0.547559",
"0.5472001",
"0.54485244",
"0.54428244",
"0.54231924",
"0.5421016",
"0.53994715",
"0.53900766",
"0.5383519",
"0.53785133",
"0.53648984",
"0.53644687",
"0.53632104",
"0.5360074",
"0.5340445",
"0.5326... | 0.6344389 | 0 |
Move the kame up the screen. | def update(self):
# Update the decimal position of the kame.
self.y -= self.speed_factor
# Update the rect position.
self.rect.y = self.y | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def move_up(self):\n if self.center.y < (self.screen_height - (self.height / 2)):\n self.center.y += 5",
"def move_up(self):\n self.move_step(-1)",
"def up(self):\n self.move(0, 1)",
"def move_up(self):\n self.move_measurement(-1)",
"def move_up(self):\n #if us... | [
"0.8090584",
"0.79983824",
"0.79516095",
"0.7819243",
"0.780271",
"0.77326506",
"0.7703528",
"0.761254",
"0.7515465",
"0.74919164",
"0.74353284",
"0.7427749",
"0.74245286",
"0.7419067",
"0.72939706",
"0.71948296",
"0.71851563",
"0.71603477",
"0.71450174",
"0.71259904",
"0.709... | 0.0 | -1 |
Draw the kame to the screen. | def draw_kame(self):
#pygame.draw.rect(self.screen, self.color, self.rect, self.image)
self.screen.blit(self.image, self.rect) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def draw(self, screen):",
"def draw():",
"def draw(self):\n\n State.screen.draw()",
"def draw(self):\n self.screen.fill(BACKGROUND_COLOR)\n self.cannon.draw(self.screen)\n self.objects.draw(self.screen)",
"def draw():\n screen.fill((0, 0, 0))\n alien.draw()",
"def draw(sel... | [
"0.8225329",
"0.7920574",
"0.78136766",
"0.77745014",
"0.7760726",
"0.76907307",
"0.7579652",
"0.75666505",
"0.75666505",
"0.75666505",
"0.75666505",
"0.7559235",
"0.75204027",
"0.75066805",
"0.7476456",
"0.74355596",
"0.7426095",
"0.7424709",
"0.7421482",
"0.7412151",
"0.740... | 0.8383208 | 0 |
Calculate Maximum Depth From Point Cloud | def fus_points2depth(points):
max_z = 0.0
min_z = 0.0
for point in points:
if point[2] > max_z: max_z = point[2]
if point[2] < min_z: min_z = point[2]
return abs(max_z-min_z) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_max_depth_val():\n data = SUNRGBDTrainDataset(True)\n return max([data[0][i][-1].flatten().item() for i in range(len(data))])",
"def get_max_dmag_from_depth(depth):\n return 2.5 * np.log10(depth)",
"def convert_pointcloud_to_depth(pointcloud, camera_intrinsics):\r\n\r\n\tassert (pointcloud.sha... | [
"0.71776944",
"0.6876848",
"0.66646206",
"0.637755",
"0.6343945",
"0.63234144",
"0.62752146",
"0.61729157",
"0.61499417",
"0.6110589",
"0.6092262",
"0.60468256",
"0.6045397",
"0.6032402",
"0.6016253",
"0.60043883",
"0.5986041",
"0.5979987",
"0.5952362",
"0.59416324",
"0.59258... | 0.69405186 | 1 |
Connect the samples and plot the results. | def test_and_plot_results(self, end, nb_samples):
self.test(end, nb_samples)
self.plot_results() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def sample_and_plot(self):\n fig = plt.figure()\n ax = plt.axes(projection = '3d')\n ax.plot_surface(self.X, self.Y, self.sample(), cmap = plt.cm.jet, rstride = 2, cstride = 2, linewidth = 1)\n plt.show()",
"def sample_plot(self, sample_pre, sample_post, circle_size=10.0):\n co... | [
"0.6899476",
"0.6625663",
"0.6500045",
"0.64235145",
"0.64233994",
"0.638161",
"0.6358623",
"0.6316563",
"0.626138",
"0.62011486",
"0.6196088",
"0.618245",
"0.6165358",
"0.604993",
"0.60285133",
"0.6001211",
"0.59983706",
"0.5995903",
"0.5995727",
"0.59925264",
"0.5990759",
... | 0.5982989 | 21 |
Generate nb_samples random states in the state space and tries to them to the same end state. Then generate calcultation and trajectory times and euclidian distance. | def test(self, end, nb_samples):
samples = self.irepa.sample(nb_samples)
print('Start in 2 seconds')
time.sleep(2)
for i, state in enumerate(samples):
sys.stdout.write("\r{}%".format(
round(100*float(i)/len(samples), 0)))
sys.stdout.... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _generate_sample_from_state(self, state):\n\n res = []\n for e in range(self.n_emissions):\n cdf = np.cumsum(self.B[e][state, :])\n res.append((cdf > np.random.rand()).argmax())\n return np.asarray(res)",
"def random_state(\n shape=(50, 50),\n time_ste... | [
"0.66748285",
"0.6663933",
"0.6628541",
"0.65802824",
"0.6540975",
"0.6481998",
"0.6442309",
"0.6438231",
"0.6438231",
"0.6406305",
"0.6406305",
"0.6398187",
"0.6374575",
"0.63287216",
"0.631714",
"0.6289932",
"0.6271172",
"0.62309885",
"0.6224919",
"0.6224919",
"0.6224919",
... | 0.56092185 | 81 |
Generate some random tweet text. | def mock_tweet():
count = random.randint(70, 140)
return ''.join([random.choice(string.letters) for i in xrange(count)]) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def generateRandomePlainText():\n randomPlainTextArray = [random.choice('0123456789abcdef')\n for n in range(24)]\n randomPlainText = \"\".join(randomPlainTextArray)\n return randomPlainText",
"def create_random_text(word_count=10):\n sample_text_lst = TEXT_BASE_RUS.replace... | [
"0.7336123",
"0.72017545",
"0.69617206",
"0.6955046",
"0.6792115",
"0.6696469",
"0.66487026",
"0.66219026",
"0.6560906",
"0.6504597",
"0.6492525",
"0.6492525",
"0.6491351",
"0.64229876",
"0.63740075",
"0.6317993",
"0.63130176",
"0.6288164",
"0.62670004",
"0.62655485",
"0.6264... | 0.7941552 | 0 |
truven 1. multihot feature list of list | def Create_truven(object):
def __init__(self, is_train = True, **config):
print(2)
pass
'''
self.is_train = is_train
filename = config['train_file'] if is_train else config['test_file']
batch_size = config['batch_size']
self.admis_dim = config['input_dim']
self.max_length = config['max_length']
wi... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def transform_multilabel_as_multihot(label_list,label_size):\n result=np.zeros(label_size)\n #set those location as 1, all else place as 0.\n result[label_list] = 1\n return result",
"def transform_multilabel_as_multihot(label_list,label_size):\n result=np.zeros(label_size)\n #set those locatio... | [
"0.712355",
"0.712355",
"0.6953274",
"0.6635199",
"0.65758747",
"0.64931434",
"0.64726764",
"0.6445082",
"0.64443076",
"0.6413668",
"0.64002377",
"0.6397476",
"0.63867146",
"0.6245102",
"0.62362224",
"0.62224424",
"0.6177844",
"0.6135584",
"0.6131204",
"0.6109852",
"0.6075764... | 0.0 | -1 |
Shows basic usage of the Gmail API. Lists the user's Gmail labels. | def main():
token = 'C:/Users/asif.rouf/PycharmProjects/pythonProject/AX_Admin_portal/Test/utils/google-api-token.json'
credential = 'C:/Users/asif.rouf/PycharmProjects/pythonProject/AX_Admin_portal/Test/utils/google-api-credentials.json'
creds = None
# The file token.json stores the user's access and r... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_labels():\n\n logging.info(\"Getting metadata about labels\")\n\n labels = []\n\n if len(args.labels) == 0:\n logging.warning(\"No labels specified, assuming all labels. If you have a lot of labels in your inbox you could hit API limits quickly.\")\n results = GMAIL_CLIENT.users().la... | [
"0.6945762",
"0.679617",
"0.6724848",
"0.6434719",
"0.6335645",
"0.6275607",
"0.6236837",
"0.57496095",
"0.5672538",
"0.55909437",
"0.5572119",
"0.55695736",
"0.5569079",
"0.55664",
"0.555801",
"0.5552047",
"0.549878",
"0.5496704",
"0.54652035",
"0.54633766",
"0.5420082",
"... | 0.5508061 | 16 |
POSTs the updated properties for a ZFS object to the webservice. zfsobjs is a list of AbstractZFS objects hostname is the hostname of this computer server is the zfs monitor server's hostname | def post_update(zfsobjs, hostname=HOSTNAME, server=ZFSMON_SERVER):
ZFS_LOG = logging.getLogger("zfsmond.http")
updated = dict()
snapshots = False
for obj in zfsobjs:
# Check if this is a pool or a dataset, and POST to the appropriate resource
if obj.type == 'pool':
rescollect... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def salesforce_collection_update(self, objects):\n for obj in objects:\n assert obj[\n \"id\"\n ], \"Should be a list of objects with Ids returned by Salesforce Collection Insert\"\n if STATUS_KEY in obj:\n del obj[STATUS_KEY]\n\n assert ... | [
"0.5676521",
"0.5214823",
"0.4971102",
"0.4907723",
"0.48414955",
"0.47924596",
"0.4694975",
"0.46478626",
"0.4644769",
"0.4640716",
"0.4635108",
"0.4612122",
"0.4593009",
"0.45898503",
"0.45867512",
"0.45853955",
"0.45830682",
"0.45690647",
"0.4535591",
"0.45307365",
"0.4529... | 0.73352444 | 0 |
Gets the active ZFS pools by calling `zpool list` and parsing the output. Returns a list of ZPool objects populated with the properties returned by zpool list H o all. | def get_pools():
poolinfostr = fork_and_get_output("zpool list -H -o all".split())
header = get_zpool_header()
poolinfo = poolinfostr.splitlines()
poolobjs = []
for poolstr in poolinfo:
poolobjs.append(DataZFS(poolstr, header, 'pool'))
return poolobjs | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_pools():\n command = 'zpool list -H'\n try:\n p = subprocess.Popen(command.split(' '), stdout=subprocess.PIPE)\n except OSError:\n raise Exception('No ZFS tools found!')\n zpout, zperr = p.communicate()\n if p.returncode:\n raise Exception(\"Error executing '%s': %d\" % ... | [
"0.80878156",
"0.73042035",
"0.7050812",
"0.67753637",
"0.66770947",
"0.65869814",
"0.6562786",
"0.6554524",
"0.64835596",
"0.644007",
"0.6365196",
"0.6321016",
"0.62798274",
"0.6219247",
"0.619906",
"0.6135923",
"0.6128194",
"0.6082088",
"0.60160434",
"0.59826976",
"0.597930... | 0.84037024 | 0 |
Gets the active ZFS mounted filesystems by calling `zfs list` and parsing the output. | def get_datasets(FIELDS='all'):
dsinfostr = fork_and_get_output("zfs list -H -o {0}".format(FIELDS).split())
header = get_zfs_ds_header()
dsinfo = dsinfostr.splitlines()
dsobjs = []
for dsstr in dsinfo:
dsobjs.append(DataZFS(dsstr, header, 'dataset'))
return dsobjs | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_mounts(self):\n return [m.split()[0] for m in self.xlist(\"get-mounts\")[1]]",
"def mounts(self) -> list[str]:\n _args: list[Arg] = []\n _ctx = self._select(\"mounts\", _args)\n return _ctx.execute_sync(list[str])",
"def fs_get_disk_list(self):\n\t\treturn Job(SDK.PrlSrv_FsG... | [
"0.68106353",
"0.6750382",
"0.65955144",
"0.65537035",
"0.6542032",
"0.61288875",
"0.612883",
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"0.61085606",
"0.6083076",
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"0.60162604",
"0.60019654",
"0.59784144",
"0.59784144",
"0.59640676",
"0.58309805",
"0.5808027",
"0.57728165",
"0.... | 0.0 | -1 |
Gets the snapshot history for each filesystem. | def get_snapshots(FIELDS='all'):
snapinfostr = fork_and_get_output("zfs list -t snapshot -H -o {0}".format(FIELDS).split())
header = get_zfs_snap_header()
snapinfo = snapinfostr.splitlines()
snapobjs = []
for snapstr in snapinfo:
snapobjs.append(DataZFS(snapstr, header, 'snapshot'))
retu... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def history(self) -> List[SnapshotLogEntry]:\n return self.metadata.snapshot_log",
"def get_history(cls, api, history):\n api_base = api.split('/')[-1]\n cursor = cls.history_index.cursor()\n cursor.execute(\n \"select filename from history where api=? and ymdh=?;\",\n ... | [
"0.7113116",
"0.65943146",
"0.63602525",
"0.62651694",
"0.6222953",
"0.6212407",
"0.62096435",
"0.6189401",
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"0.5905802",
"0.5893282",
"0.5885002",
"0.58840567",
"0.587063",
"0.58678246",
"0.5860876... | 0.6106158 | 9 |
Gets the status of each zpool by calling `zpool status` and and parsing the output. | def get_pool_status():
pools_status = split_status_pools(fork_and_get_output("zpool status".split()))
pools = []
for p in pools_status:
pools.append(status.PoolStatus(p))
return pools | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def zpool_status(p):\n # Input file\n f = '/'.join([p, 'zfs/zpool-status-dv.out'])\n check_path(f)\n\n status = {}\n\n # Match empty lines\n empty = re.compile('^\\s*$')\n\n # Match multiple underscores\n underscore = re.compile('^__')\n\n # Match dashes\n dash = re.compile('^--')\n\n... | [
"0.7154575",
"0.63748884",
"0.63549304",
"0.6191073",
"0.61175615",
"0.60634863",
"0.59149086",
"0.5862941",
"0.58497596",
"0.5841862",
"0.58097893",
"0.5675924",
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"0.55874443",
"0.5561089",
"0.5522858",
"0.55055994",
"0.54882914",
"0.54734266",
"0.54... | 0.82554597 | 0 |
Our model_fn for ResNet to be used with our Estimator. | def resnet_model_fn(features, labels, mode, params):
tf.summary.image('images', features, max_outputs=6)
network = resnet_model.imagenet_resnet_v2(
params['resnet_size'], _LABEL_CLASSES, params['data_format'])
if params['optimizer'] == 'kfac':
with kfac_layer_collection() as lc:
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _model_fn(features, labels, mode, config):\n return _transformer_model_fn(\n features=features,\n labels=labels,\n mode=mode,\n head=head_lib._regression_head_with_mean_squared_error_loss(\n label_dimension=label_dimensio... | [
"0.7539371",
"0.7372965",
"0.73378205",
"0.7212622",
"0.7001108",
"0.69828886",
"0.69495374",
"0.69107336",
"0.68893576",
"0.686631",
"0.68361133",
"0.67221636",
"0.6690993",
"0.6689671",
"0.6683788",
"0.66071296",
"0.6598074",
"0.65847665",
"0.6500494",
"0.64868957",
"0.6433... | 0.60793436 | 45 |
Check if this is the 'max context' doc span for the token. Because of the sliding window approach taken to scoring documents, a single token can appear in multiple documents. | def _check_is_max_context(doc_spans, cur_span_index, position):
best_span_index = get_best_span_index(doc_spans, position)
return cur_span_index == best_span_index | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _check_is_max_context(doc_spans, cur_span_index, position):\n\n # Because of the sliding window approach taken to scoring documents, a single\n # token can appear in multiple documents. E.g.\n # Doc: the man went to the store and bought a gallon of milk\n # Span A: the man went to the\n # Spa... | [
"0.81666505",
"0.81666505",
"0.80861664",
"0.76825464",
"0.7549702",
"0.7522705",
"0.6171613",
"0.59147215",
"0.56549305",
"0.5647985",
"0.5500991",
"0.5489646",
"0.54532236",
"0.5427922",
"0.5393629",
"0.53854585",
"0.5348451",
"0.5320114",
"0.52660835",
"0.52506053",
"0.525... | 0.7938717 | 3 |
For a particular position, identify which doc_span gives the most context around token Helper function for _check_is_max_context; see _check_is_max_context for more details | def get_best_span_index(doc_spans, position):
best_score = None
best_span_index = None
for (span_index, doc_span) in enumerate(doc_spans):
end = doc_span.start + doc_span.length - 1
if position < doc_span.start:
continue
if position > end:
continue
num... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def check_is_max_context(doc_spans, cur_span_index, position):\n # Because of the sliding window approach taken to scoring documents, a single\n # token can appear in multiple documents. E.g.\n # Doc: the man went to the store and bought a gallon of milk\n # Span A: the man went to the\n # Span B... | [
"0.8147791",
"0.8138653",
"0.8138653",
"0.79635817",
"0.7945915",
"0.79245776",
"0.7805608",
"0.61704695",
"0.593335",
"0.5877751",
"0.5864793",
"0.58527213",
"0.5708804",
"0.5672883",
"0.56393576",
"0.563058",
"0.5599426",
"0.5517616",
"0.55091864",
"0.54559445",
"0.54369414... | 0.67853326 | 7 |
Split on whitespace so that different tokens may be attributed to their original position. | def split_into_words(context_text):
doc_tokens = []
char_to_word_offset = []
prev_is_whitespace = True
for c in context_text:
if is_whitespace(c):
prev_is_whitespace = True
else:
if prev_is_whitespace:
doc_tokens... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def split_whitespace_tokens(line):\n in_quote = False\n token = \"\"\n token_start = 0\n for i, char in enumerate(line):\n if char == ' ':\n if len(token) > 0:\n yield (token_start, token)\n token = \"\"\n else:\n if len(token) == 0:\n ... | [
"0.7045275",
"0.7043285",
"0.6918881",
"0.6867487",
"0.6867487",
"0.6867487",
"0.6785408",
"0.65652114",
"0.6562608",
"0.6476699",
"0.6449644",
"0.6437914",
"0.6350325",
"0.63445187",
"0.628646",
"0.626875",
"0.6266772",
"0.62245923",
"0.622136",
"0.618018",
"0.6175212",
"0... | 0.62430656 | 17 |
Some features are obtained from hashmap to reduce CPU memory use | def __getitem__(self, idx):
feature = self.features[idx]
if self.mode == INFERENCE_MODE:
return (
np.array(feature.input_ids),
np.array(self.segment_mask_id_to_segment_mask[feature.segment_ids]),
np.array(self.input_mask_id_to_input_mask[featur... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _extract_features(self):\n # print(os.getpid())\n return {n:self._extract_feature(f) for (n,f) in self.features.items()}",
"def _extract_features(self, times):\n times[1] = time()\n data = {n:self._extract_feature(f) for (n,f) in self.features.items()} \n times[2] = time()\... | [
"0.6999594",
"0.69160664",
"0.65042967",
"0.64083487",
"0.62740165",
"0.61803263",
"0.6055717",
"0.6055717",
"0.5988632",
"0.59712344",
"0.59592384",
"0.59561235",
"0.59530663",
"0.59529215",
"0.5922952",
"0.5921372",
"0.5908347",
"0.58759946",
"0.5870978",
"0.5823859",
"0.58... | 0.0 | -1 |
Get docspans which are sliding window spans from a document | def get_docspans(all_doc_tokens, max_tokens_for_doc, doc_stride):
_DocSpan = collections.namedtuple("DocSpan", ["start", "length"])
doc_spans = []
start_offset = 0
while start_offset < len(all_doc_tokens):
length = len(all_doc_tokens) - start_offset
if length > ma... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_windows(doc, hws=5):\n length = len(doc)\n assert length > 2*hws, 'doc is too short!'\n\n inside = [(w, doc[(i - hws):i] + doc[(i + 1):(i + hws + 1)]) for i, w in enumerate(doc[hws:-hws], hws)]\n\n # for words that are near the beginning or\n # the end of a doc tuples are slightly different\... | [
"0.6421841",
"0.6292646",
"0.61049014",
"0.605424",
"0.586118",
"0.5850682",
"0.58369684",
"0.5816199",
"0.57881117",
"0.5637001",
"0.56275266",
"0.5521826",
"0.5488609",
"0.5459688",
"0.5427386",
"0.5427386",
"0.5425122",
"0.5402091",
"0.540079",
"0.53969455",
"0.5393235",
... | 0.6968376 | 0 |
Check if there is sufficient memory to prevent system from being unresponsive Otherwise system can become unresponsive as memory is slowly filled up, possibly leading to system unable to kill process Interrupts run if CPU memory use is more than 75%, to leave some capacity for model loading | def check_if_sufficient_memory():
percent_memory = psutil.virtual_memory().percent
if percent_memory > 75:
raise ValueError('Please use a device with more CPU ram or a smaller dataset') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def device_out_of_memory(self) -> bool:\n return pulumi.get(self, \"device_out_of_memory\")",
"def stop_loading(self):\n return psutil.virtual_memory()[2] >= self.max_memory",
"def stop_loading(self):\n return psutil.virtual_memory()[2] >= self.max_memory",
"def memory_check(self) -> boo... | [
"0.7235018",
"0.6932394",
"0.6932394",
"0.69066733",
"0.68662536",
"0.6822102",
"0.6819577",
"0.68071353",
"0.678367",
"0.655549",
"0.65075845",
"0.6478597",
"0.64649934",
"0.64479524",
"0.6308393",
"0.6290874",
"0.6234317",
"0.6231586",
"0.6203869",
"0.61822873",
"0.6178238"... | 0.7906733 | 0 |
Find distance between doc_span and answer_span to determine if doc_span is likely to be useful for the answer Helper function to filter out doc_spans that may not be helpful | def get_average_dist_to_tok_start_and_end(doc_span, tok_start_position, tok_end_position):
center_answer = (tok_start_position + tok_end_position) // 2
dist_to_start = abs(doc_span.start - center_answer)
dist_to_end = abs(doc_span.start + doc_span.length - 1 - center_answer)
return (dist... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _improve_answer_span(doc_tokens, input_start, input_end, tokenizer, orig_answer_text):\n tok_answer_text = \" \".join(tokenizer.tokenize(orig_answer_text))\n\n for new_start in range(input_start, input_end + 1):\n for new_end in range(input_end, new_start - 1, -1):\n text_span = \" \".j... | [
"0.69372",
"0.689471",
"0.68938667",
"0.6884405",
"0.6841682",
"0.5997177",
"0.58838403",
"0.5759059",
"0.5718888",
"0.5689685",
"0.5618187",
"0.56090003",
"0.5574064",
"0.55383235",
"0.55383235",
"0.5473617",
"0.5470104",
"0.5465339",
"0.5443799",
"0.5420908",
"0.53889644",
... | 0.5417549 | 20 |
Filters out doc_spans, which might not be relevant to answering question, which can be helpful when document is extremely long leading to many doc_spans with no answers | def keep_relevant_docspans(doc_spans, tok_start_position, tok_end_position, mode):
if mode == 'all':
return doc_spans
elif mode == 'only_positive':
if tok_start_position in [-1, None] or tok_end_position in [-1, None]:
return []
else:
r... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def filter_invalid_sents(doc):\n def is_valid(sent):\n tag_counts = Counter([pos[0] for pos in sent['pos_tags']])\n num_subjects = tag_counts['NOUN'] + tag_counts['PROPN'] \\\n + tag_counts['PRON']\n num_predicates = tag_counts['VERB'] + tag_counts['AUX']\n comp... | [
"0.62472975",
"0.5847748",
"0.583575",
"0.57769537",
"0.57591414",
"0.57234687",
"0.56612074",
"0.5646727",
"0.56322473",
"0.55924857",
"0.55790424",
"0.5574625",
"0.55640864",
"0.5542045",
"0.55394304",
"0.55327314",
"0.5477125",
"0.54676485",
"0.5460647",
"0.54581726",
"0.5... | 0.71136427 | 0 |
Loads a data file into a list of `InputBatch`s. | def convert_examples_to_features(
self,
examples: List[object],
tokenizer: object,
max_seq_length: int,
doc_stride: int,
max_query_length: int,
has_groundtruth: bool,
):
unique_id = 1000000000
features = []
text_to_tokens_dict = {}
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def LoadBatch(filename):",
"def load_batch(fpath, label_key='labels'):\n f = open(fpath, 'rb')\n if sys.version_info < (3,):\n d = cPickle.load(f)\n else:\n d = cPickle.load(f, encoding='bytes')\n # decode utf8\n d_decoded = {}\n for k, v in d.items():\n d_d... | [
"0.7116717",
"0.6971949",
"0.6867253",
"0.66187465",
"0.65909564",
"0.6522058",
"0.6507134",
"0.6502703",
"0.6472176",
"0.64224887",
"0.64197946",
"0.64197946",
"0.6409885",
"0.6405037",
"0.638099",
"0.6297901",
"0.62916416",
"0.6273321",
"0.6232164",
"0.6228044",
"0.62100035... | 0.0 | -1 |
Computes the exact and f1 scores from the examples and the model predictions | def get_raw_scores(self, preds: Dict[str, str]):
exact_scores = {}
f1_scores = {}
for example in self.examples:
qas_id = example.qas_id
gold_answers = [answer["text"] for answer in example.answers if normalize_answer(answer["text"])]
if not gold_answers:
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def f1_score_model(self, model, X, y):\n\n prediction = model.predict_classes(X)\n f1_macro = f1_score(y, prediction, average='macro')\n f1_micro = f1_score(y, prediction, average='macro')\n print(\"f1_macro: \", f1_score(y, prediction, average='macro'))\n print(\"f1_micro: \", f... | [
"0.7489836",
"0.7446351",
"0.73071194",
"0.71985704",
"0.7156627",
"0.7144628",
"0.7108001",
"0.7088692",
"0.7040526",
"0.69682926",
"0.6933514",
"0.68788725",
"0.6875764",
"0.6874872",
"0.68435127",
"0.6840598",
"0.6836643",
"0.6836643",
"0.68322575",
"0.6823149",
"0.6802116... | 0.66141135 | 54 |
Saves the passed posts object in a file. | def save_posts(posts):
with open(FILE_NAME, 'wb') as f:
pickle.dump(posts, f, pickle.HIGHEST_PROTOCOL) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def save_post(name, elements, status, current_section):\n\n try:\n\n # dealing with Posts\n if status == 4:\n extract_and_write_posts(elements, name)\n return\n\n except:\n print(\"Exception (save_to_file)\", \"Status =\",\n str(status), sys.exc_info()[... | [
"0.72536314",
"0.638276",
"0.6335936",
"0.6335127",
"0.6221393",
"0.6173248",
"0.61729234",
"0.6126923",
"0.6124318",
"0.6120573",
"0.6114257",
"0.610687",
"0.60994494",
"0.6076865",
"0.6076818",
"0.60569996",
"0.6044865",
"0.60265523",
"0.60211146",
"0.60089844",
"0.60016584... | 0.76258934 | 0 |
Reads and returns the saved posts from file. | def load_posts():
with open(FILE_NAME, 'r') as f:
return pickle.load(f) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def read_post_to_file(country_name: str, post: dict, data_path: str, order: int):\n\n logging.info(f\"[READ POST] Reading post\")\n\n raw_title = post['title']['rendered']\n raw_content = post['content']['rendered']\n\n cleaned_title = clean_html(raw_title)\n cleaned_content = clean_html(raw_content... | [
"0.6364917",
"0.6275716",
"0.6200789",
"0.60762805",
"0.5990724",
"0.592687",
"0.58093065",
"0.5789136",
"0.5750821",
"0.5750821",
"0.5740415",
"0.5698358",
"0.5657045",
"0.5597588",
"0.5574151",
"0.5571945",
"0.5571484",
"0.5565915",
"0.55373085",
"0.55215144",
"0.5486186",
... | 0.7953246 | 0 |
Queries the Product Hunt API, sorts and returns the list of posts. | def get_todays_posts():
return sorted(requests.get(TODAY_URL).json()['hunts'],
key=lambda post: post['rank']) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_posts():\n url = app.config['POSTS_ENDPOINT']\n response = requests.get(url, params={})\n if response.status_code == 200:\n return parse_posts(response.json())\n raise RuntimeError('Error in retrieving posts.')",
"def get(self):\n return get_all_posts()",
"def list():\n\n p... | [
"0.6443327",
"0.64023525",
"0.63965803",
"0.609261",
"0.6078676",
"0.6009153",
"0.59817547",
"0.595344",
"0.5912195",
"0.58770806",
"0.58570176",
"0.5808449",
"0.57762986",
"0.57613033",
"0.5755018",
"0.57533497",
"0.57342225",
"0.5722693",
"0.5719726",
"0.5706099",
"0.569451... | 0.57208765 | 18 |
Opens the permalink for post at rank rank in default browser. | def browse_rank(posts, rank):
if rank > len(posts):
click.secho(('\n\tCannot get that rank. Currently %d products have been hunted '
'with Spear.\n' % len(posts)), fg="red")
return
url = BASE_URL + posts[int(rank)-1]['permalink']
webbrowser.open(url, new=2) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def main(num, rank):\n\n file_existed = os.path.isfile(FILE_NAME)\n\n if rank:\n rank = int(rank)\n \n # if a rank is passed, we assume the user wants to open the product at the\n # rank. But if the local file doesn't exist, we query the API, and retry.\n if rank and file_existed:\n browse_rank(load_po... | [
"0.6182857",
"0.56361544",
"0.5530104",
"0.5205971",
"0.5201647",
"0.5197045",
"0.5194299",
"0.5138884",
"0.51208854",
"0.50970227",
"0.50923043",
"0.5067071",
"0.5056936",
"0.5035746",
"0.50017977",
"0.49854454",
"0.49836594",
"0.4968917",
"0.49597406",
"0.49532667",
"0.4942... | 0.78006464 | 0 |
Neatly prints all passed posts to the console. | def print_posts(posts):
click.echo()
for post in posts:
click.secho('%d. ' % post['rank'], nl=False)
click.secho('%s\t' % post['title'], bold=True, fg="red", nl=False)
click.secho('%s' % post['tagline'], fg="yellow")
click.echo() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def print_post():\n print('| | |'),",
"def print(self, *args, **kwargs):\n print(*args, **kwargs)",
"def debug_print(self, *args, **kwargs):\n print(\"APP_DEBUG_PRINT\", args, kwargs)",
"def debug_print(self, *content):\n if self.debug:\n print(*content)... | [
"0.7115943",
"0.6441518",
"0.63706803",
"0.62422836",
"0.62408924",
"0.6211438",
"0.6161924",
"0.6133616",
"0.61010075",
"0.6070248",
"0.60621244",
"0.6029152",
"0.60103685",
"0.5993028",
"0.5993028",
"0.5993028",
"0.5993028",
"0.59749794",
"0.59646165",
"0.59468657",
"0.5929... | 0.7119509 | 0 |
A CLI to Product Hunt that shows (top num) products from today and/or open the product at rank rank in web browser. | def main(num, rank):
file_existed = os.path.isfile(FILE_NAME)
if rank:
rank = int(rank)
# if a rank is passed, we assume the user wants to open the product at the
# rank. But if the local file doesn't exist, we query the API, and retry.
if rank and file_existed:
browse_rank(load_posts(), rank)
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def browse_rank(posts, rank):\n \n if rank > len(posts):\n click.secho(('\\n\\tCannot get that rank. Currently %d products have been hunted '\n 'with Spear.\\n' % len(posts)), fg=\"red\")\n return\n\n url = BASE_URL + posts[int(rank)-1]['permalink']\n webbrowser.open(url, new=2)",
"def... | [
"0.6422924",
"0.63026744",
"0.6276584",
"0.5543545",
"0.5516952",
"0.5511337",
"0.54465324",
"0.5428419",
"0.5425493",
"0.53986984",
"0.53925085",
"0.5377301",
"0.53724325",
"0.5367898",
"0.5367296",
"0.53623855",
"0.5357946",
"0.53442305",
"0.53405285",
"0.5338121",
"0.53332... | 0.60728276 | 3 |
Get the indexes on the table using a new cursor. | def get_constraints(model):
with connection.cursor() as cursor:
return connection.introspection.get_constraints(cursor, model._meta.db_table) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_indices(self):\n\n def query(rel): \n return \"\"\"SELECT pg_class.relname, pg_index.indkey\n FROM pg_class, pg_index\n WHERE (pg_index.indexrelid = pg_class.oid)\n AND (pg_index.indrelid = (SELECT pg_class.oid FROM pg_class WHERE p... | [
"0.6800074",
"0.6452354",
"0.63777584",
"0.6295344",
"0.62760967",
"0.6267213",
"0.6204597",
"0.6202955",
"0.61729",
"0.61649823",
"0.6136951",
"0.60915583",
"0.5978674",
"0.5976947",
"0.59670347",
"0.59374946",
"0.5933559",
"0.5931247",
"0.58822095",
"0.5880325",
"0.5842626"... | 0.0 | -1 |
Construct a table name by optionally adding a table name prefix. | def _table_name(self, name: AnyStr) -> bytes:
name = ensure_bytes(name)
if self.table_prefix is None:
return name
return self.table_prefix + self.table_prefix_separator + name | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def bucket_to_tablename(prefix, bucket):\n return prefix + bucket",
"def table_name() -> str:\n pass",
"def prefix():\r\n class TableA(tables.Table):\r\n name = tables.Column()\r\n\r\n class Meta:\r\n prefix = \"x\"\r\n\r\n assert \"x\" == TableA([]).prefix\r\n\r\n c... | [
"0.6983316",
"0.6868761",
"0.66902655",
"0.6644392",
"0.6616669",
"0.6526214",
"0.65251964",
"0.64713275",
"0.644586",
"0.62785625",
"0.6139798",
"0.6098526",
"0.6013983",
"0.5979652",
"0.58623594",
"0.5846383",
"0.58428425",
"0.5842715",
"0.57911444",
"0.57911444",
"0.579114... | 0.7101793 | 0 |
Create and open the underlying client to the HBase instance. This method can safely be called more than once. | async def open(self) -> None:
if self.client is not None:
return # _refresh_thrift_client opened the transport
logger.debug(f"Opening Thrift transport to {self.host}:{self.port}")
self.client = await self._client_factory(**self.client_kwargs) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def gen_heat_client(self):\n\n print \"\\t* Generating heat client\"\n # request a new auth token from keystone\n keystone = ksclient.Client(auth_url=self.auth_url,\n username=self.username,\n password=self.password,\n ... | [
"0.6232724",
"0.6101125",
"0.608096",
"0.6044116",
"0.58246213",
"0.5690355",
"0.5668486",
"0.56504655",
"0.5605735",
"0.5569847",
"0.5556541",
"0.5535542",
"0.5521138",
"0.54744536",
"0.5422871",
"0.53894156",
"0.53798336",
"0.53746945",
"0.535874",
"0.5340033",
"0.53263265"... | 0.6804419 | 0 |
Close the underlying client to the HBase instance. This method can be safely called more than once. Note that the client is destroyed after it is closed which will cause errors to occur | def close(self) -> None:
if self.client is None:
return
if logger is not None:
# If called from __del__(), module variables may no longer exist.
logger.debug(f"Closing Thrift transport to {self.host}:{self.port}")
self.client.close()
self.client = No... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def closeConnecetion(self):\n client.close()",
"def close_ssh_client(self):\n self.ssh_client.close()",
"def close(self):\n self.shutdown()\n self._client.close()",
"async def close(self) -> None:\n\n if self._client:\n await self._client.__aexit__()",
"def close(s... | [
"0.71063393",
"0.6860559",
"0.6856127",
"0.6839546",
"0.6762218",
"0.6728074",
"0.6604954",
"0.6489788",
"0.6444724",
"0.64077437",
"0.6398559",
"0.63399166",
"0.6217777",
"0.6193713",
"0.6177189",
"0.6150679",
"0.614646",
"0.6129677",
"0.61130965",
"0.60951537",
"0.6062458",... | 0.715433 | 0 |
Return a list of table names available in this HBase instance. | async def tables(self) -> List[bytes]:
names = await self.client.getTableNames()
# Filter using prefix, and strip prefix from names
if self.table_prefix is not None:
prefix = self._table_name(b'')
offset = len(prefix)
names = [n[offset:] for n in names if n.s... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def list_tables(self) -> List[str]:\n return self.dynamodb_client.list_tables()[\"TableNames\"]",
"def get_table_names(self):\n return self.engine.table_names()",
"def get_tables(self):\n return list(self._metadata['tables'].keys())",
"def list_tables(self):\n return LIST_TABLES(d... | [
"0.8007392",
"0.77783185",
"0.7701616",
"0.76757056",
"0.7655505",
"0.76370215",
"0.75866014",
"0.75735855",
"0.7444133",
"0.74050945",
"0.73407847",
"0.7325878",
"0.7299059",
"0.7193484",
"0.71326184",
"0.7120677",
"0.70863867",
"0.70375466",
"0.7023705",
"0.69402367",
"0.68... | 0.78835815 | 1 |
Delete the specified table. | async def delete_table(self, name: AnyStr, disable: bool = False) -> None:
if disable and await self.is_table_enabled(name):
await self.disable_table(name)
await self.client.deleteTable(self._table_name(name)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _delete_table(self, db, table_name):\n pass",
"def delete_table(table_name: str, **db_kwargs) -> None:\n client = boto3.client(\"dynamodb\", **db_kwargs)\n client.delete_table(TableName=table_name)\n log.info(\"Table %s has been deleted\", table_name)",
"def delete_table(self, name: str) ->... | [
"0.8149698",
"0.80803883",
"0.8062236",
"0.7985449",
"0.7985449",
"0.7971576",
"0.7836116",
"0.7702302",
"0.76736337",
"0.76590925",
"0.76508814",
"0.7580074",
"0.75614613",
"0.7554784",
"0.75464904",
"0.7518427",
"0.7448561",
"0.74042565",
"0.74024796",
"0.73500586",
"0.7339... | 0.6492718 | 58 |
Enable the specified table. | async def enable_table(self, name: AnyStr) -> None:
await self.client.enableTable(self._table_name(name)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"async def is_table_enabled(self, name: AnyStr) -> None:\n return await self.client.isTableEnabled(self._table_name(name))",
"async def disable_table(self, name: AnyStr) -> None:\n await self.client.disableTable(self._table_name(name))",
"def lock_table(self):\n\n self.status = 'Locked'",
... | [
"0.6090106",
"0.59843993",
"0.596103",
"0.59515077",
"0.59515077",
"0.58426434",
"0.5697303",
"0.5694458",
"0.56662244",
"0.5645401",
"0.56410295",
"0.56244045",
"0.55909985",
"0.5585736",
"0.55567956",
"0.5556704",
"0.55556947",
"0.55556947",
"0.55487466",
"0.5543933",
"0.55... | 0.82251936 | 0 |
Disable the specified table. | async def disable_table(self, name: AnyStr) -> None:
await self.client.disableTable(self._table_name(name)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"async def delete_table(self, name: AnyStr, disable: bool = False) -> None:\n if disable and await self.is_table_enabled(name):\n await self.disable_table(name)\n\n await self.client.deleteTable(self._table_name(name))",
"def disable(ctx):\n\n port_info = {}\n port_info['FLEX_COUNTE... | [
"0.66882545",
"0.64297634",
"0.6220911",
"0.62085795",
"0.6183498",
"0.59963304",
"0.59899276",
"0.596315",
"0.5847089",
"0.5841651",
"0.5817108",
"0.5815603",
"0.58142066",
"0.5812355",
"0.58106613",
"0.5808945",
"0.5808786",
"0.580826",
"0.5758325",
"0.57542515",
"0.5750066... | 0.8292084 | 0 |
Return whether the specified table is enabled. | async def is_table_enabled(self, name: AnyStr) -> None:
return await self.client.isTableEnabled(self._table_name(name)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def has_table(self, table):\n return table in self.get_table_list(\".\" in table)",
"def check_table(self, table_name: str) -> bool:\n try:\n if self.engine.dialect.has_table(self.engine.connect(), table_name):\n return self.get_input(table_name)\n return False\... | [
"0.6898622",
"0.6342821",
"0.63032",
"0.63032",
"0.63032",
"0.63032",
"0.63032",
"0.63032",
"0.6272063",
"0.62631357",
"0.62483656",
"0.6229805",
"0.62060714",
"0.61975765",
"0.61830944",
"0.61462283",
"0.6129225",
"0.61281174",
"0.6115581",
"0.61123234",
"0.60770994",
"0.6... | 0.7990121 | 0 |
Compact the specified table. | async def compact_table(self, name: AnyStr, major: bool = False) -> None:
name = self._table_name(name)
if major:
await self.client.majorCompact(name)
else:
await self.client.compact(name) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def clear_table(self, table: Table):\n self._requires_table(table)\n table.clear()",
"def empty_table(self, table):\n print(\"Emptying {0}...\".format(table))\n query = \"TRUNCATE TABLE {0} RESTART IDENTITY CASCADE;\".format(table)\n cursor = connection.cursor()\n cursor... | [
"0.5847997",
"0.56457794",
"0.5574597",
"0.5566873",
"0.55524355",
"0.55139095",
"0.546884",
"0.5467198",
"0.5423969",
"0.54100394",
"0.5380569",
"0.53520906",
"0.5315048",
"0.52778924",
"0.52724254",
"0.5204866",
"0.51722646",
"0.51642877",
"0.5143855",
"0.50638324",
"0.5055... | 0.7088064 | 0 |
Compares received's attributes with expected's kwargs. | def attrs_eq(received, **expected):
for k, v in expected.iteritems():
eq_(v, getattr(received, k)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_attrs(self):\n for self_attr, wrapper_attr in [(\"reactor\", \"_reactor\"),\n (\"client\", \"_client\")]:\n self.assertIdentical(getattr(self, self_attr),\n getattr(self.wrapper, wrapper_attr))",
"def test_attribute... | [
"0.6576146",
"0.6564596",
"0.6462569",
"0.6408045",
"0.6395285",
"0.6344218",
"0.6291002",
"0.6240182",
"0.62239105",
"0.61092496",
"0.607779",
"0.6026101",
"0.6014606",
"0.60038954",
"0.5952767",
"0.5885488",
"0.5867236",
"0.58600116",
"0.5829513",
"0.58288026",
"0.5824071",... | 0.7866361 | 0 |
Assert `text` starts with `substring`. | def starts_with(text, substring):
assert text.startswith(substring), "%r doesn't start with %r" % (text,
substring) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_match_start_check_at_beginning_of_string(self):\n first_letter = \"a\"\n s = \"abcdef\"\n self.assertEqual(__, re.search(first_letter, s).group())",
"def test_match_must_start_at_the_beginning(self):\n third_letter = \"c\"\n s = \"abcdef\"\n self.assertEqual(__,... | [
"0.6829674",
"0.65287787",
"0.64003766",
"0.63065535",
"0.6265803",
"0.62448704",
"0.6170393",
"0.6124493",
"0.6100281",
"0.6091578",
"0.6072728",
"0.603758",
"0.60315865",
"0.60313207",
"0.60114366",
"0.5978914",
"0.59746695",
"0.5931409",
"0.5912524",
"0.588778",
"0.5864748... | 0.8459681 | 0 |
Patch email_utils.send_messages with this in your tests to check what happens when an email fails to send. | def send_mail_raise_smtp(messages):
raise SMTPRecipientsRefused(recipients=messages[0].recipients()) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_failed_email(self):\n self.assertEqual(send_email(\"testtestcom\", \"test\", \"test\"), 'There was an error sending')",
"def test_bademail(mock_smtp):\n \n msg_values = {'sender': 'dummy@moc.org',\n 'receiver': 'newuser1@moc.org',\n 'subject': 'Test Message... | [
"0.8086304",
"0.72468615",
"0.7125777",
"0.70968163",
"0.6704975",
"0.66328955",
"0.65558076",
"0.65207565",
"0.64956194",
"0.6488341",
"0.64816576",
"0.64691323",
"0.64597386",
"0.6456591",
"0.6455369",
"0.63600177",
"0.6334171",
"0.6328927",
"0.63200766",
"0.6319092",
"0.62... | 0.6960675 | 4 |
Make a request, but prepend a locale if there isn't one already. | def request(self, **request):
# Fall back to defaults as in the superclass's implementation:
path = request.get('PATH_INFO', self.defaults.get('PATH_INFO', '/'))
locale, shortened = split_path(path)
if not locale:
request['PATH_INFO'] = '/%s/%s' % (settings.LANGUAGE_CODE,
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def patch_request(self, request):\n if 'HTTP_ACCEPT_LANGUAGE' in request.META:\n # Preserve the browser provided language just in case,\n # the underscore prefix means that you probably shouldn't be using it anyway\n request.META['_HTTP_ACCEPT_LANGUAGE'] = request.META['HTTP... | [
"0.62489927",
"0.6160046",
"0.5985905",
"0.57638955",
"0.5707318",
"0.5645025",
"0.56072253",
"0.54957044",
"0.54901606",
"0.5485183",
"0.5457616",
"0.5453435",
"0.5262661",
"0.52122664",
"0.5199306",
"0.5167903",
"0.5166903",
"0.5107756",
"0.5095502",
"0.50909346",
"0.502625... | 0.69697094 | 0 |
Return the absolute path to the migration script folder. | def _migrations_path():
return join(dirname(dirname(dirname(sumo.__file__))), 'migrations') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def migration_directory(self) -> str:\n\n with package_resources.path(\n f\"PyFunceble.data.{PyFunceble.cli.storage.ALEMBIC_DIRECTORY_NAME}\",\n \"__init__.py\",\n ) as file_path:\n result = os.path.split(file_path)[0]\n\n if PyFunceble.storage.CONFIGURATION.cl... | [
"0.771517",
"0.7598042",
"0.73491156",
"0.72787374",
"0.7230808",
"0.6944726",
"0.68556404",
"0.6811978",
"0.6753096",
"0.669813",
"0.6693428",
"0.667507",
"0.66400284",
"0.66386336",
"0.66133446",
"0.6611378",
"0.6556615",
"0.65509653",
"0.6544871",
"0.6544871",
"0.6486247",... | 0.8255686 | 0 |
Assert that the numeric prefixes of the DB migrations are unique. | def test_unique(self):
leading_digits = re.compile(r'^\d+')
seen_numbers = set()
path = self._migrations_path()
for filename in listdir(path):
match = leading_digits.match(filename)
if match:
number = match.group()
if number in seen... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_prefix(self):\n self.chck_triple('prefix')",
"def test_strip_column_prefix():\n assert strip_column_prefix(\"ts_some_name\") == \"some_name\"\n assert strip_column_prefix(\"some_name\") == \"some_name\"\n # only the prefix may be stripped\n assert strip_column_prefix(\"ts_some_ts_name... | [
"0.6097303",
"0.6040116",
"0.5913195",
"0.58292675",
"0.58030826",
"0.57863855",
"0.56782293",
"0.5632286",
"0.5627914",
"0.55827665",
"0.55247986",
"0.55160433",
"0.55130035",
"0.5502277",
"0.5491454",
"0.5479071",
"0.5462152",
"0.54441065",
"0.5438034",
"0.5420087",
"0.5418... | 0.7371309 | 0 |
Make sure each created table uses the InnoDB engine and UTF8. | def test_innodb_and_utf8(self):
# Heuristic: make sure there are at least as many "ENGINE=InnoDB"s as
# "CREATE TABLE"s. (There might be additional "InnoDB"s in ALTER TABLE
# statements, which are fine.)
path = self._migrations_path()
for filename in sorted(listdir(path)):
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def correct_db_schema_utf8(\n instance: Recorder, table_object: type[DeclarativeBase], schema_errors: set[str]\n) -> None:\n table_name = table_object.__tablename__\n if (\n f\"{table_name}.4-byte UTF-8\" in schema_errors\n or f\"{table_name}.utf8mb4_unicode_ci\" in schema_errors\n ):\n ... | [
"0.62925166",
"0.62717134",
"0.61080253",
"0.60827583",
"0.5985917",
"0.59618616",
"0.59618616",
"0.59530646",
"0.5951511",
"0.5904364",
"0.5888538",
"0.5878991",
"0.5784848",
"0.57627964",
"0.5762103",
"0.57413745",
"0.5698418",
"0.5692719",
"0.5662284",
"0.56588584",
"0.565... | 0.7256668 | 0 |
Decorate a model maker to add a `save` kwarg. If save=True, the model maker will save the object before returning it. | def with_save(func):
@wraps(func)
def saving_func(*args, **kwargs):
save = kwargs.pop('save', False)
ret = func(*args, **kwargs)
if save:
ret.save()
return ret
return saving_func | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def do_auto_save(func: Callable):\n\n @wraps(func)\n def _wrapped(self, *args, **kwargs):\n return_val = func(self, *args, **kwargs)\n if self.auto_save:\n self.save_metadata()\n return return_val\n\n return _wrapped",
"def save_model(self, *args, **kwargs):\n rais... | [
"0.6469919",
"0.5738694",
"0.572271",
"0.52655745",
"0.52434915",
"0.5209758",
"0.51709205",
"0.5067467",
"0.50492924",
"0.50204456",
"0.5005135",
"0.49688715",
"0.49463245",
"0.49134701",
"0.4888065",
"0.48869237",
"0.48869237",
"0.48869237",
"0.48597857",
"0.48505533",
"0.4... | 0.7034841 | 0 |
Shorthand for 'assert a == b, "%s %r != %r" % (msg, a, b)' | def eq_msg(a, b, msg=None):
assert a == b, (str(msg) or '') + ' (%r != %r)' % (a, b) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def assert_eq(a, b, msg=None):\n assert a == b, msg or __safe_error(\"!=\", a, b)",
"def eq_(a, b, msg=None):\n assert a == b, msg or \"%r != %r\" % (a, b)",
"def eq_(a, b, msg=None):\n assert a == b, msg or \"%r != %r\" % (a, b)",
"def assert_equal(self, first, second, msg=\"\"):\r\n assert ... | [
"0.83698875",
"0.8356181",
"0.8356181",
"0.811656",
"0.79593253",
"0.78908986",
"0.7779416",
"0.76180196",
"0.7557509",
"0.7538832",
"0.75304806",
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"0.7337403",
"0.72703254",
"0.72698164",
"0.7241174",
"0.7221724",
"0.7213975",
"0.7142231",
"0.708558... | 0.83424985 | 3 |
Create a list of requirements from given items. | def _do_install_prepare_reqs(self, action):
def _make_req(string):
try:
return Requirement(string)
except Exception:
raise YAMLException(
"Could not parse requirement {!r} from {!r}",
string,
act... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _reconstruct_requirements(req_records):\n recs = [req_record[\"r\"] for req_record in req_records]\n return [Requirement(rec[\"class\"], {k: v for k, v in rec.items() if k != \"class\"})\n for rec in recs]",
"def requirements(self):\n requirements = []\n return requirements",
... | [
"0.6201311",
"0.6112178",
"0.6092989",
"0.5920086",
"0.58888817",
"0.58846074",
"0.5810434",
"0.5724193",
"0.56695217",
"0.5665077",
"0.5657579",
"0.56431586",
"0.5634644",
"0.5563239",
"0.549878",
"0.54696786",
"0.54629296",
"0.5439147",
"0.54229116",
"0.54197514",
"0.537487... | 0.61878824 | 1 |
Compose a list of requirements and then run the resolver to install them. | def _do_install(self, provider, items):
requirements = self._do_install_prepare_reqs(items)
result = self._run_resolver(requirements, provider)
return result | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def install():\n verun('pip install -r {0}'.format(requirements))",
"def install_deps():\n default = open('requirements.txt', 'r').readlines()\n new_pkgs = []\n links = []\n for resource in default:\n if 'git+https' in resource:\n pkg = resource.split('#')[-1]\n links.... | [
"0.7091497",
"0.701064",
"0.6956623",
"0.6933346",
"0.6859309",
"0.6836508",
"0.6801119",
"0.6783575",
"0.66986865",
"0.66677105",
"0.66422904",
"0.6584691",
"0.65672284",
"0.6542947",
"0.65090275",
"0.6437916",
"0.64319324",
"0.6423555",
"0.6406795",
"0.637428",
"0.6311549",... | 0.62042755 | 27 |
General tests for all Ext versions | def test_common(self):
tree = self.cix_tree
self.assertTrue(tree is not None)
self.assertTrue(tree.tag == "codeintel" and
tree.get("version") == "2.0")
self.assertTrue(len(tree.getchildren()) == 1 and
tree.getchildren()[0].tag == "file")
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_version(self):\n pass",
"def tests():",
"def test_version():\n versions = ((2, 7, 16), (3, 5, 7), (3, 6, 8), (3, 7, 3))\n assert sys.version_info[:3] in versions",
"def test_checkers_integration():\n for project in AVAILABLE_CHECKERS.values():\n assert project.get_latest_versi... | [
"0.71570426",
"0.6804025",
"0.675813",
"0.6638585",
"0.6624765",
"0.66244006",
"0.654903",
"0.6520928",
"0.6506511",
"0.6494773",
"0.64919657",
"0.6491584",
"0.6479722",
"0.6469396",
"0.6451712",
"0.6445549",
"0.6402264",
"0.6395714",
"0.6377462",
"0.63308865",
"0.63209367",
... | 0.5866798 | 96 |
Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix inorder arguments and keyword arguments. | def __init__(self, *args, **kwds):
if args or kwds:
super(SetElectromotorsControlRequest, self).__init__(*args, **kwds)
#message fields cannot be None, assign default values for those that are
if self.ctrl is None:
self.ctrl = actuators_canopen.msg.ElectromotorsState()
else:
self... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self, *args, **kwds):\n if args or kwds:\n super(KomodoSpeechRecCommand, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.cmd is None:\n ... | [
"0.7794351",
"0.7719884",
"0.7719884",
"0.7686347",
"0.76253426",
"0.7562994",
"0.74395365",
"0.7416649",
"0.73515975",
"0.730761",
"0.7279932",
"0.72373426",
"0.72264934",
"0.7223775",
"0.7223775",
"0.72189564",
"0.72111243",
"0.72111243",
"0.72111243",
"0.72111243",
"0.7211... | 0.0 | -1 |
serialize message into buffer | def serialize(self, buff):
try:
_x = self
buff.write(_struct_3I.pack(_x.ctrl.header.seq, _x.ctrl.header.stamp.secs, _x.ctrl.header.stamp.nsecs))
_x = self.ctrl.header.frame_id
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
length = len(_x)
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_2d2q14dq.pack(_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret))\n _x = self.msg\n ... | [
"0.6972838",
"0.6802016",
"0.6796291",
"0.67317253",
"0.66948694",
"0.66847515",
"0.6658851",
"0.6626311",
"0.66227144",
"0.6618303",
"0.6607444",
"0.65361035",
"0.6529462",
"0.65220654",
"0.64863104",
"0.6467052",
"0.64530367",
"0.6438432",
"0.6427743",
"0.6426063",
"0.63947... | 0.0 | -1 |
unpack serialized message in str into this message instance | def deserialize(self, str):
try:
if self.ctrl is None:
self.ctrl = actuators_canopen.msg.ElectromotorsState()
end = 0
_x = self
start = end
end += 12
(_x.ctrl.header.seq, _x.ctrl.header.stamp.secs, _x.ctrl.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])
sta... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 152\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _stru... | [
"0.7633603",
"0.74642533",
"0.732128",
"0.73038477",
"0.72709143",
"0.7223599",
"0.72191226",
"0.7175671",
"0.71700495",
"0.709591",
"0.7095633",
"0.70419884",
"0.70281994",
"0.6962232",
"0.6956503",
"0.6955446",
"0.69451785",
"0.6942254",
"0.6942078",
"0.6912403",
"0.6894626... | 0.0 | -1 |
serialize message with numpy array types into buffer | def serialize_numpy(self, buff, numpy):
try:
_x = self
buff.write(_struct_3I.pack(_x.ctrl.header.seq, _x.ctrl.header.stamp.secs, _x.ctrl.header.stamp.nsecs))
_x = self.ctrl.header.frame_id
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
lengt... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def serialize_numpy(self, buff, numpy):\n try:\n pass\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)",
"def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_2d2q14dq.pack(_x.tcp, _x.ori, _x.zone, _x.vacuum, ... | [
"0.7994329",
"0.7972612",
"0.7893365",
"0.785495",
"0.7740611",
"0.7677824",
"0.7657543",
"0.7626826",
"0.75874037",
"0.7565361",
"0.75626636",
"0.75620574",
"0.7558187",
"0.75431186",
"0.7534563",
"0.7527763",
"0.75262064",
"0.75172293",
"0.75110817",
"0.749996",
"0.7497972"... | 0.6728073 | 96 |
unpack serialized message in str into this message instance using numpy for array types | def deserialize_numpy(self, str, numpy):
try:
if self.ctrl is None:
self.ctrl = actuators_canopen.msg.ElectromotorsState()
end = 0
_x = self
start = end
end += 12
(_x.ctrl.header.seq, _x.ctrl.header.stamp.secs, _x.ctrl.header.stamp.nsecs,) = _struct_3I.unpack(str[start:en... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 152\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.... | [
"0.80890095",
"0.797653",
"0.79170173",
"0.7906179",
"0.78933936",
"0.7831413",
"0.78118503",
"0.7809794",
"0.7784528",
"0.77587944",
"0.77402115",
"0.77145755",
"0.7714233",
"0.7696594",
"0.7692612",
"0.7685888",
"0.7672912",
"0.76391083",
"0.76368344",
"0.7628863",
"0.76240... | 0.0 | -1 |
Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix inorder arguments and keyword arguments. | def __init__(self, *args, **kwds):
if args or kwds:
super(SetElectromotorsControlResponse, self).__init__(*args, **kwds)
#message fields cannot be None, assign default values for those that are
if self.result is None:
self.result = 0
else:
self.result = 0 | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self, *args, **kwds):\n if args or kwds:\n super(KomodoSpeechRecCommand, self).__init__(*args, **kwds)\n #message fields cannot be None, assign default values for those that are\n if self.header is None:\n self.header = std_msgs.msg.Header()\n if self.cmd is None:\n ... | [
"0.77941823",
"0.7721771",
"0.7721771",
"0.76875746",
"0.7627467",
"0.75655127",
"0.7441343",
"0.7418733",
"0.7351187",
"0.73081994",
"0.72794753",
"0.72372985",
"0.7227603",
"0.7225375",
"0.7225375",
"0.72188306",
"0.7213351",
"0.7213351",
"0.7213351",
"0.7213351",
"0.721335... | 0.0 | -1 |
serialize message into buffer | def serialize(self, buff):
try:
buff.write(_struct_B.pack(self.result))
except struct.error as se: self._check_types(se)
except TypeError as te: self._check_types(te) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def serialize(self, buff):\n try:\n _x = self\n buff.write(_struct_2d2q14dq.pack(_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret))\n _x = self.msg\n ... | [
"0.6972838",
"0.6802016",
"0.6796291",
"0.67317253",
"0.66948694",
"0.6658851",
"0.6626311",
"0.66227144",
"0.6618303",
"0.6607444",
"0.65361035",
"0.6529462",
"0.65220654",
"0.64863104",
"0.6467052",
"0.64530367",
"0.6438432",
"0.6427743",
"0.6426063",
"0.63947827",
"0.63715... | 0.66847515 | 5 |
unpack serialized message in str into this message instance | def deserialize(self, str):
try:
end = 0
start = end
end += 1
(self.result,) = _struct_B.unpack(str[start:end])
return self
except struct.error as e:
raise genpy.DeserializationError(e) #most likely buffer underfill | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def deserialize(self, str):\n try:\n end = 0\n _x = self\n start = end\n end += 152\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.ret,) = _stru... | [
"0.7633603",
"0.74642533",
"0.732128",
"0.73038477",
"0.72709143",
"0.7223599",
"0.7175671",
"0.71700495",
"0.709591",
"0.7095633",
"0.70419884",
"0.70281994",
"0.6962232",
"0.6956503",
"0.6955446",
"0.69451785",
"0.6942254",
"0.6942078",
"0.6912403",
"0.6894626",
"0.68897164... | 0.72191226 | 6 |
serialize message with numpy array types into buffer | def serialize_numpy(self, buff, numpy):
try:
buff.write(_struct_B.pack(self.result))
except struct.error as se: self._check_types(se)
except TypeError as te: self._check_types(te) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def serialize_numpy(self, buff, numpy):\n try:\n pass\n except struct.error as se: self._check_types(se)\n except TypeError as te: self._check_types(te)",
"def serialize_numpy(self, buff, numpy):\n try:\n _x = self\n buff.write(_struct_2d2q14dq.pack(_x.tcp, _x.ori, _x.zone, _x.vacuum, ... | [
"0.79946846",
"0.79733205",
"0.7894134",
"0.78557587",
"0.767947",
"0.7658682",
"0.7627832",
"0.75884074",
"0.75668263",
"0.7563204",
"0.7563108",
"0.75591797",
"0.7544295",
"0.75356185",
"0.7529538",
"0.7527064",
"0.7518283",
"0.751168",
"0.750116",
"0.74992543",
"0.74847126... | 0.7741082 | 4 |
unpack serialized message in str into this message instance using numpy for array types | def deserialize_numpy(self, str, numpy):
try:
end = 0
start = end
end += 1
(self.result,) = _struct_B.unpack(str[start:end])
return self
except struct.error as e:
raise genpy.DeserializationError(e) #most likely buffer underfill | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def deserialize_numpy(self, str, numpy):\n try:\n end = 0\n _x = self\n start = end\n end += 152\n (_x.tcp, _x.ori, _x.zone, _x.vacuum, _x.workx, _x.worky, _x.workz, _x.workq0, _x.workqx, _x.workqy, _x.workqz, _x.toolx, _x.tooly, _x.toolz, _x.toolq0, _x.toolqx, _x.toolqy, _x.toolqz, _x.... | [
"0.8090556",
"0.79776967",
"0.79184276",
"0.7907259",
"0.789463",
"0.7832683",
"0.7812846",
"0.7810829",
"0.7785181",
"0.7760294",
"0.77407515",
"0.7715958",
"0.77152807",
"0.7697747",
"0.7693529",
"0.76734644",
"0.76398456",
"0.7637652",
"0.7630051",
"0.7625139",
"0.76175505... | 0.76866287 | 15 |
Construct data sets for SysRem | def sysrem_data_prepare(obs, sigs, ms_obs=True, ms_feat=False):
nds = len(obs)
nobs = len(obs[0])
# Residuals and STDs
rij = np.zeros( (nobs, nds) )
sm = np.zeros( (nobs, nds) )
if len(obs) != len(sigs):
raise(ValueError("Obs and sigs must have the same length."))
for n in ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def collectData(self):\n\n self.data.datahash = {} # dict of system data\n\n vmstat_dict = self._getvmstat()\n if vmstat_dict:\n self.data.datahash.update(vmstat_dict)\n\n uptime_dict = self._getuptime()\n if uptime_dict:\n self.data.datahash.... | [
"0.6231608",
"0.6201638",
"0.6089105",
"0.5982996",
"0.5916175",
"0.58389336",
"0.5805325",
"0.5794087",
"0.5770292",
"0.57400566",
"0.5706636",
"0.5654017",
"0.5647484",
"0.5647071",
"0.5630673",
"0.5623479",
"0.5600253",
"0.55999434",
"0.5591246",
"0.5584346",
"0.5576154",
... | 0.0 | -1 |
Subtract current model from residuals In matrix notation Tamuz et al. write (Eq. 6) R' = R c a^T. The operation here implemented corresponds to (R' = R c^T)^T > R'^T = R^T a c^T (where ^T is the transpose, R is a matrix and a and c are vectors). Returns | def sysrem_update_rij(rij, a, c):
return rij - np.outer(a,c) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def residual_of(self, z):\n return np.subtract(z, self.HJacob(self.x)@self.x_prior)",
"def residual_of(self, z):\n raise \"Not implemented yet\"\n return z - dot(self._H, self._x)",
"def back_substitution(self):\r\n for col in range(self.SIZE - 1, -1, -1):\r\n self.check_... | [
"0.597161",
"0.57674617",
"0.5653328",
"0.5619851",
"0.5587978",
"0.55241704",
"0.5420099",
"0.53882575",
"0.5380549",
"0.5333551",
"0.53246033",
"0.5320975",
"0.5320975",
"0.5320975",
"0.53125983",
"0.5295911",
"0.5267064",
"0.52474755",
"0.5243254",
"0.52172714",
"0.5211965... | 0.59686255 | 1 |
Implementation of the SysRem algorithm. SysRem was described by | def __init__(self, obs, sigs, ms_obs=True, ms_feat=False, a0=None, ms_warn=True):
# Convert into list of arrays if 2d array
if isinstance(obs, np.ndarray) and (obs.ndim == 2):
obs = [obs[::,i] for i in range(obs.shape[1])]
if isinstance(sigs, np.ndarray) and (sigs.ndim == 2):
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def rem(a, b):\n return a % b",
"def rem(self, a, b):\n raise NotImplementedError",
"def rem(self, a, b):\n return a % b",
"def rem(self, a, b):\n return a % b",
"def fn(mask, rem):\n if not mask: return 0 # done \n ans = inf \n for i, x in enumerate... | [
"0.5365042",
"0.53464013",
"0.5335688",
"0.5335688",
"0.5281327",
"0.52548957",
"0.5081097",
"0.49769276",
"0.48923093",
"0.4859301",
"0.4846898",
"0.48468667",
"0.4845998",
"0.48315325",
"0.48149613",
"0.4801941",
"0.479971",
"0.4781277",
"0.47734118",
"0.47720233",
"0.47485... | 0.0 | -1 |
Get model corresponding to a,c vector | def get_model(self, last=True, a=None, c=None):
if (a is not None) and (c is not None) and (not last):
return np.outer(a, c)
elif last and (a is None) and (c is None):
if len(self.rijs) == 0:
raise(PE.PyAValError("Last model requested, but no model exists... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def recognition_model(self, x, c):\n x = self.encoder(x)\n c = self.conditional(c)\n temp = self.recog_head(x + c)\n mu = self.mu(temp)\n logvar = self.logvar(temp)\n return mu, logvar",
"def recognition_model(self, x, c):\n x = self.encoder(x)\n c = self.c... | [
"0.5943117",
"0.5943117",
"0.59274226",
"0.5790551",
"0.57192355",
"0.56776786",
"0.5629956",
"0.5623865",
"0.55425984",
"0.5500118",
"0.5482155",
"0.54582584",
"0.5437091",
"0.5437091",
"0.54246694",
"0.5345569",
"0.5322276",
"0.527424",
"0.5258969",
"0.5258677",
"0.52557236... | 0.6103821 | 0 |
Get the cumulative model (sum of all available models) | def get_cumulative_model(self):
cm = None
for ac in self.ac:
if ac[0] is None:
continue
m = self.get_model(last=False, a=ac[0], c=ac[1])
cm = m if cm is None else cm+m
return cm | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def show_cumulative_mig(model):\r\n return sum(cumulative_mig_list)",
"def cum_sum(self):\n\n # create cdo command and runit\n cdo_command = \"cdo -timcumsum\"\n run_this(cdo_command, self, output=\"ensemble\")",
"def total_models_produced(self):\n return self._total_models_produced",
"def... | [
"0.7080301",
"0.62270474",
"0.5775094",
"0.5704546",
"0.55656356",
"0.5501783",
"0.5465801",
"0.53405565",
"0.5286122",
"0.5220785",
"0.5193036",
"0.5148923",
"0.51433724",
"0.51247233",
"0.5121645",
"0.51210314",
"0.51171476",
"0.50669336",
"0.50564367",
"0.5048346",
"0.5048... | 0.8100918 | 0 |
Create a graph and run Dijikstra algorithm to find shortest path to all the nodes from the source node. Dijikstra algorithm does not work with negative weights. | def main():
# create graph (DIRECTED), add nodes
# create graph, add nodes
api = GraphAPI()
graph = api.init_graph(graph_type=GraphTypes.DIRECTED)
api.add_node(graph, "A")
api.add_node(graph, "B")
api.add_node(graph, "C")
api.add_node(graph, "D")
api.add_node(graph, "E")
api.ad... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def dijkstra(graph, source):\n\n if not isinstance(graph, WeightedGraph):\n raise TypeError('dijkstra_heap(graph, source): graph must be a WeightedGraph object')\n if source not in graph.Keys:\n raise ValueError('dijkstra_heap(graph, source): source must be a key of the graph but {} is not a ke... | [
"0.7634346",
"0.7473723",
"0.7436281",
"0.742487",
"0.7390997",
"0.73245585",
"0.72784936",
"0.72725034",
"0.7163718",
"0.7157089",
"0.70738053",
"0.70538944",
"0.7051962",
"0.7050298",
"0.70453733",
"0.7039171",
"0.7029212",
"0.7005062",
"0.7002129",
"0.6975575",
"0.6929758"... | 0.7355143 | 5 |
for the input for indri document retrieval when all the claim and entity have been lower cased | def create_entity_claim_input_file_doc_ret():
claim_doc = open(r"C:\study\technion\MSc\Thesis\Y!\rawClaim_SW.txt").read().strip()
"remove the stop words from the claims"
SW_doc = r"C:\study\technion\MSc\Thesis\Y!\stopWords.xml"
stopWords_list = []
claims_no_SW_dict = {}
with open(SW_doc, 'r') as... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _transform_to_lowercase(self, doc: str):\n processed_tweet = doc.lower()\n return processed_tweet",
"def lower_case_really():",
"def search_entity(self, name_filter):\n name_filter=name_filter.lower()\n model_reader=oc.delegator.getModelReader()\n names=model_reader.getEn... | [
"0.6237965",
"0.62361765",
"0.6010704",
"0.5874474",
"0.5844636",
"0.5814212",
"0.5812037",
"0.5754486",
"0.5722984",
"0.56905735",
"0.56733185",
"0.5665827",
"0.56259596",
"0.5613765",
"0.55999416",
"0.5576687",
"0.5573347",
"0.5565344",
"0.5532522",
"0.55220807",
"0.5493951... | 0.0 | -1 |
from the documents retrieved, score= exp(score) and then normalize according to sum normalization file is an input file claim num, alpha, beta for each alpha beta, create and than add to it the different claims' doc scores | def normalize_doc_scores():
# doc_res_files_path = base_path+r"claimLM_docLM_doc_ret_output"
claims_file_counters_dict = {} #for each claim numas key, have the val a counter - if not 110 per claim -> problem!
doc_res_files_path = linux_base_path+"/claimLM_docLM_doc_ret_output"
# doc_res_files_path = bas... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def normalize_sen_scores_corpus_smoothing():\n param_len = 10*11# for alpha*beta =110 \n k_len = 1\n# sen_res_files_path = linux_base_path+r\"/claimLM_senLM_sen_ret_output_corpus_smoothing_corpus_beta_\"+str(corpus_beta)\n sen_res_files_path = base_path+r\"\\claimLM_senLM_sen_ret_output_corpus_smooth... | [
"0.71356165",
"0.65784204",
"0.63003385",
"0.61383694",
"0.5840401",
"0.5776091",
"0.5764244",
"0.5727677",
"0.57261246",
"0.572611",
"0.57091475",
"0.568436",
"0.56770676",
"0.5667565",
"0.5643428",
"0.561692",
"0.5612546",
"0.5585787",
"0.5582222",
"0.55724305",
"0.55332166... | 0.75903165 | 0 |
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