code stringlengths 4 4.48k | docstring stringlengths 1 6.45k | _id stringlengths 24 24 |
|---|---|---|
def date_greater_than_or_equal_to(d1, d2) -> bool: <NEW_LINE> <INDENT> d10 = np_datetime_to_datetime(d1) <NEW_LINE> d20 = np_datetime_to_datetime(d2) <NEW_LINE> return (d10 - d20).days >= 0 | d1, d2 are datetime objects
Returns True iff d1 >= d2 | 625941cf8e05c05ec3eea4c1 |
def create_listen_socket(self, ip='localhost', port=8999): <NEW_LINE> <INDENT> sock = socket.socket() <NEW_LINE> sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) <NEW_LINE> sock.bind((ip, port)) <NEW_LINE> sock.listen() <NEW_LINE> return SocketWrapper(sock=sock, loop=self) | 创建listen的套接字
| 625941cf293b9510aa2c33e1 |
def zeroAdjust(self): <NEW_LINE> <INDENT> currSignal = self.get_signalValue() <NEW_LINE> currBias = self.get_signalBias() <NEW_LINE> return self.set_signalBias(currSignal + currBias) | Adjusts the signal bias so that the current signal value is need
precisely as zero. Remember to call the saveToFlash()
method of the module if the modification must be kept.
@return YAPI.SUCCESS if the call succeeds.
On failure, throws an exception or returns a negative error code. | 625941cf5f7d997b87174be4 |
def _normalize_fourier_coefficients(fourier_coefficients): <NEW_LINE> <INDENT> U, _, V_transpose = np.linalg.svd( _reshape(fourier_coefficients), full_matrices=False) <NEW_LINE> return np.matmul(U, V_transpose) | Normalizes a group of fourier coefficients by power within group
Parameters
----------
fourier_coefficients : array, shape (n_time_windows, n_trials,
n_tapers, n_fft_samples,
n_signals)
Returns
-------
normalized_fourier_coefficients : array, s... | 625941cfd18da76e23532622 |
def insert(self, loc, item): <NEW_LINE> <INDENT> code = self.categories.get_indexer([item]) <NEW_LINE> if (code == -1) and not (is_scalar(item) and isna(item)): <NEW_LINE> <INDENT> raise TypeError("cannot insert an item into a CategoricalIndex " "that is not already an existing category") <NEW_LINE> <DEDENT> codes = se... | Make new Index inserting new item at location. Follows
Python list.append semantics for negative values
Parameters
----------
loc : int
item : object
Returns
-------
new_index : Index
Raises
------
ValueError if the item is not in the categories | 625941cfaad79263cf390b8d |
def multipass_disparity(img_left, img_right, outlier_percent=3, range_pad_percent=10): <NEW_LINE> <INDENT> disp_img = disparity(img_left, img_right) <NEW_LINE> border = 20 <NEW_LINE> disp_img = disp_img[border:-border, border:-border] <NEW_LINE> valid = disp_img >= 0 <NEW_LINE> valid_data = disp_img[valid] <NEW_LINE> l... | Compute dispartity in two passes
The first pass obtains a robust estimate of the disparity range
The second pass limits the search to the estimated range for better
coverage.
The outlier_percent variable controls which percentange of extreme
values to ignore when computing the range after the first pass
The range_pa... | 625941cf4e696a04525c9597 |
def fifth_screen(self, *args): <NEW_LINE> <INDENT> if self.load_or_change == 'CHANGE': <NEW_LINE> <INDENT> _title = roboprinter.lang.pack['Filament_Wizard']['Title_45'] <NEW_LINE> back_dest = self.name+'[3]' <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> _title = roboprinter.lang.pack['Filament_Wizard']['Title_34'] <NEW... | Final screen / Confirm successful load:
Extrude filament
Display instruction to user -- Press okay when you see plastic extruding
Display button that will move_to_main() AND stop extruding filament | 625941cfcad5886f8bd27125 |
def load_classes(path): <NEW_LINE> <INDENT> with open(path, 'r') as fcls: <NEW_LINE> <INDENT> names = fcls.readlines() <NEW_LINE> <DEDENT> names = [name.strip() for name in names if name.strip()] <NEW_LINE> return names | Loads class labels at 'path' | 625941cf57b8e32f524835e7 |
def write_cubes_emission(self): <NEW_LINE> <INDENT> log.info("Writing the emission cubes ...") <NEW_LINE> if self.do_write_cube_earth_emission: self.write_cube_earth_emission() <NEW_LINE> if self.do_write_cube_faceon_emission: self.write_cube_faceon_emission() <NEW_LINE> if self.do_write_cube_edgeon_emission: self.writ... | This function ...
:return: | 625941cfac7a0e7691ed4218 |
def histogram(input, bins=100, min=0, max=0): <NEW_LINE> <INDENT> if in_dygraph_mode(): <NEW_LINE> <INDENT> return _C_ops.histogram(input, "bins", bins, "min", min, "max", max) <NEW_LINE> <DEDENT> helper = LayerHelper('histogram', **locals()) <NEW_LINE> check_variable_and_dtype( input, 'X', ['int32', 'int64', 'float32'... | Computes the histogram of a tensor. The elements are sorted into equal width bins between min and max.
If min and max are both zero, the minimum and maximum values of the data are used.
Args:
input (Tensor): A Tensor(or LoDTensor) with shape :math:`[N_1, N_2,..., N_k]` . The data type of the input Tensor
s... | 625941cf4f88993c3716c1b3 |
def get_user_input(prompt, validator=None): <NEW_LINE> <INDENT> reply = None <NEW_LINE> while reply is None: <NEW_LINE> <INDENT> reply = input(prompt) <NEW_LINE> if reply == 'Q' or reply == 'quit': <NEW_LINE> <INDENT> main() <NEW_LINE> <DEDENT> if validator: <NEW_LINE> <INDENT> if validator(reply) is None: <NEW_LINE> <... | Handle asking for user input and validation. | 625941cff8510a7c17cf9847 |
def dummy(in0): <NEW_LINE> <INDENT> return in0 | Just return input | 625941cfe5267d203edcdde9 |
def pairs(items): <NEW_LINE> <INDENT> arr = [[np.array([])]] <NEW_LINE> for i in items: <NEW_LINE> <INDENT> for j in items: <NEW_LINE> <INDENT> if i.name == j.name: <NEW_LINE> <INDENT> continue <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> arr.append([i,j]) <NEW_LINE> <DEDENT> <DEDENT> <DEDENT> return arr | takes a list of items of length m and returns a 2*m^2 array of all
possible pairs of items, omitting self pairs eg (i,i) | 625941cfe1aae11d1e749e03 |
def __code_executor(self): <NEW_LINE> <INDENT> try: <NEW_LINE> <INDENT> exec(open(self.py_file).read()) <NEW_LINE> <DEDENT> except Exception as e: <NEW_LINE> <INDENT> url = "http://stackoverflow.com/search?q=[python]+" + str(e) <NEW_LINE> webbrowser.open(url, new=2) <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> print("... | This function execute code hook all the errors and open browser with results. | 625941cfcc0a2c11143dcfdc |
def extract_urls(text: str, extract_urls_without_protocol: bool = True) -> List[str]: <NEW_LINE> <INDENT> return [dic['url'] for dic in extract_urls_with_indices(text, extract_urls_without_protocol)] | Extract valid URLs present in ``text``.
>>> extract_urls('http://twitter.com/これは日本語です。example.com中国語')
["url": "http://twitter.com/", "example.com"] | 625941cfd164cc6175782e9a |
def set_sundir(self,t): <NEW_LINE> <INDENT> self.sundir = self.orbit.sun_coords_at(t) <NEW_LINE> self.sunl = distant_light(direction=self.sundir,color=color.white) <NEW_LINE> self.sunl2 = distant_light(direction=self.sundir,color=color.white) <NEW_LINE> self.disp.lights=[self.sunl,self.sunl2] <NEW_LINE> if self.umbra i... | Sets the direction of the sun/lighting tp where it should be at
time t. | 625941cfb5575c28eb68e14d |
def _add_dataset_labels(self, train_index, val_index, test_index): <NEW_LINE> <INDENT> self.labels['dataset'] = np.nan <NEW_LINE> self.labels.loc[train_index, 'dataset'] = 'train' <NEW_LINE> self.labels.loc[val_index, 'dataset'] = 'val' <NEW_LINE> self.labels.loc[test_index, 'dataset'] = 'test' <NEW_LINE> self.labels['... | Add to dataset split to labels DataFrame. | 625941cfbe7bc26dc91cd74b |
def set_people (self, people): <NEW_LINE> <INDENT> self.persons = people | Sets the people, that are represented by this proxy object.
@param people: a schedule container object | 625941cf5510c4643540f52f |
def delete(key): <NEW_LINE> <INDENT> if key in CACHE: <NEW_LINE> <INDENT> del CACHE[key] | delete key from cache | 625941cf460517430c3942d0 |
def build_score_offset_targets(default_boxes, gt_boxes, gt_corner_type_ids, config): <NEW_LINE> <INDENT> num_default_boxes = default_boxes.size()[0] <NEW_LINE> target_scores = torch.zeros((num_default_boxes, config.NUM_CORNER_TYPES * 2), requires_grad=False).long() <NEW_LINE> target_offsets = torch.zeros((num_default_b... | default_boxes: 所有的boxes,假设是输入是在图像域坐标
gt_boxes: 真实的点的标记，每个点都是一个正方形的box, 并且附带这个点的类别信息,假设是在图像域的坐标 这里的两个应该都要是tensor
gt_type_ids: 1，2，3，4 top_left, top_right, bottom_right, bottom_left | 625941cf711fe17d825424b7 |
def setUp(self): <NEW_LINE> <INDENT> options = Options() <NEW_LINE> self.fitting_problem = FittingProblem(options) <NEW_LINE> self.fitting_problem.function = f_ls <NEW_LINE> self.fitting_problem.jacobian = J_ls <NEW_LINE> self.fitting_problem.hessian = H_ls <NEW_LINE> self.fitting_problem.data_x = np.array([1, 2, 3, 4,... | Setting up tests | 625941cf96565a6dacc8f817 |
def test_MultipleClips(self): <NEW_LINE> <INDENT> stage = Usd.Stage.Open('multiclip/root.usda') <NEW_LINE> stage.SetInterpolationType(Usd.InterpolationTypeHeld) <NEW_LINE> model = stage.GetPrimAtPath('/Model_1') <NEW_LINE> attr = model.GetAttribute('size') <NEW_LINE> self.assertTrue(attr.ValueMightBeTimeVarying()) <NEW... | Verifies behavior with multiple clips being applied to a single prim | 625941cfec188e330fd5a8ea |
def get_single_data_and_metadata(id_number): <NEW_LINE> <INDENT> query = 'select x, y from xy_values_stm312 where measurement = {} order by id desc' <NEW_LINE> query = query.format(id_number) <NEW_LINE> cursor.execute(query) <NEW_LINE> data = np.array(cursor.fetchall()) <NEW_LINE> fields = ['id', 'time', 'comment'] <NE... | Get data and metadata based by id | 625941cf23e79379d52ee6b0 |
def clear_all_cookies(self): <NEW_LINE> <INDENT> list( map( self.clear_cookie, self.setcookies.keys() )) <NEW_LINE> return None | :meth:`pluggdapps.web.webinterfaces.IHTTPResponse.clear_all_cookies`
interface method. | 625941cf956e5f7376d70fb9 |
def all_consumed_offsets(self): <NEW_LINE> <INDENT> all_consumed = {} <NEW_LINE> for partition, state in six.iteritems(self.assignment): <NEW_LINE> <INDENT> if state.has_valid_position: <NEW_LINE> <INDENT> all_consumed[partition] = OffsetAndMetadata(state.position, '') <NEW_LINE> <DEDENT> <DEDENT> return all_consumed | Returns consumed offsets as {TopicPartition: OffsetAndMetadata} | 625941cf091ae356686670aa |
def __eq__(self, other): <NEW_LINE> <INDENT> if not isinstance(other, RecurrenceRead): <NEW_LINE> <INDENT> return False <NEW_LINE> <DEDENT> return self.to_dict() == other.to_dict() | Returns true if both objects are equal | 625941cffff4ab517eb2f588 |
def _create_lun_meta(self, lun): <NEW_LINE> <INDENT> LOG.debug("Calling check_is_naelement(%s)", lun) <NEW_LINE> self.client.check_is_naelement(lun) <NEW_LINE> meta_dict = {} <NEW_LINE> meta_dict['Path'] = lun.get_child_content('path') <NEW_LINE> meta_dict['Volume'] = lun.get_child_content('path').split('/')[2] <NEW_LI... | Creates LUN metadata dictionary. | 625941cfcc0a2c11143dcfdd |
def register(self): <NEW_LINE> <INDENT> self.app.bind('User', User) | Registers The User Into The Service Container | 625941cf8c0ade5d55d3eb08 |
def copy_from_db(self, srcdb): <NEW_LINE> <INDENT> self.drop_all_tables() <NEW_LINE> self.metadata.create_all() <NEW_LINE> for tbl in srcdb.metadata.sorted_tables: <NEW_LINE> <INDENT> data = [dict((col.key, x[col.name]) for col in tbl.c) for x in srcdb.engine.execute(tbl.select())] <NEW_LINE> if data: <NEW_LINE> <INDEN... | Make a complete copy from srcdb into this instance of MetricsDb
This drops all tables in this instance and then recreates them, and then populates all tables with data from
srcdb
Args:
srcdb(MetricsDb): The src db to copy from | 625941cfd8ef3951e324368a |
def _do_get_field_widget_args(self, field_name, field): <NEW_LINE> <INDENT> args = super(RecordViewBase, self)._do_get_field_widget_args( field_name, field) <NEW_LINE> args['field_name'] = field_name <NEW_LINE> if self.__provider__.is_relation(self.__entity__, field_name): <NEW_LINE> <INDENT> args['entity'] = self.__en... | Override this method do define how this class gets the field
widget arguemnts | 625941cfec188e330fd5a8eb |
def delete_quotas_users( self, file_systems=None, references=None, users=None, file_system_names=None, file_system_ids=None, names=None, uids=None, user_names=None, async_req=False, _return_http_data_only=False, _preload_content=True, _request_timeout=None, ): <NEW_LINE> <INDENT> kwargs = dict( file_system_names=file_s... | Delete a hard limit file system quota for a user.
Args:
file_systems (list[FixedReference], optional):
A list of file_systems to query for. Overrides file_system_names and file_system_ids keyword arguments.
references (list[FixedReference], optional):
A list of references to query for. Override... | 625941cf97e22403b379d0e6 |
@register.inclusion_tag("planet/posts/full_details.html") <NEW_LINE> def post_full_details(post): <NEW_LINE> <INDENT> return {"post": post} | Displays full info about a post: title, date, feed, authors and tags,
and it also displays external links to post and blog. | 625941cf009cb60464c634fe |
def main(): <NEW_LINE> <INDENT> string = input() <NEW_LINE> count_ = 0 <NEW_LINE> for i in range(len(string)-2): <NEW_LINE> <INDENT> if (string[i] == "b" and string[i+1] == "o" and string[i+2] == "b"): <NEW_LINE> <INDENT> count_ = count_+1 <NEW_LINE> <DEDENT> <DEDENT> print(count_) | "This program is used to count the 'bob' in a given string. | 625941cf9c8ee82313fbb8c2 |
def test_delistPlayer(self): <NEW_LINE> <INDENT> self.setUp() <NEW_LINE> players = Players() <NEW_LINE> ref_players = [] <NEW_LINE> for pp in refPlayers(): <NEW_LINE> <INDENT> ref_players.append(player_format_DB(pp)) <NEW_LINE> <DEDENT> gameID1 = ref_players[0]['gameID'] <NEW_LINE> gameID2 = ref_players[2]['gameID'] <N... | Test players.delistPlayer | 625941cf96565a6dacc8f818 |
def setup(self, node: rclpy.node.Node): <NEW_LINE> <INDENT> self.node = node <NEW_LINE> for service_name, service_type in [ ("get_variables", py_trees_srvs.GetBlackboardVariables), ("open", py_trees_srvs.OpenBlackboardStream), ("close", py_trees_srvs.CloseBlackboardStream) ]: <NEW_LINE> <INDENT> self.services[service_n... | This is where the ros initialisation of publishers and services happens. It is kept
outside of the constructor for the same reasons that the familiar py_trees
:meth:`~py_trees.trees.BehaviourTree.setup` method has - to enable construction
of behaviours and trees offline (away from their execution environment) so that
d... | 625941cf2c8b7c6e89b3590d |
def store_token(self, match): <NEW_LINE> <INDENT> current_token_idx = len(self.tokens) <NEW_LINE> self.tokens.append(match.group(1)) <NEW_LINE> self.tokens_by_type[self.current_pattern_name].append(current_token_idx) <NEW_LINE> replacement_text = ''.join([self.placeholder_prefix, self.current_pattern_name, str(current_... | Replace the matched token with an appropriate mask and store it for
later retrieval. | 625941cfc4546d3d9de72b81 |
def get_time_control_ascii_filename(scene, pps_control_path): <NEW_LINE> <INDENT> infiles = get_time_control_ascii_filename_candidates(scene, pps_control_path) <NEW_LINE> LOG.info("Time control ascii file candidates: " + str(infiles)) <NEW_LINE> if len(infiles) == 0: <NEW_LINE> <INDENT> raise FindTimeControlFileError("... | From the scene object and a file path get the time-control-ascii-filename (with path). | 625941cfad47b63b2c50a0cc |
def set_assists(info, p1=None, p2=None): <NEW_LINE> <INDENT> assists = get_assists(info) <NEW_LINE> if len(assists) == 0: <NEW_LINE> <INDENT> pass <NEW_LINE> <DEDENT> elif len(assists) == 1: <NEW_LINE> <INDENT> if len(info[0]) == 5: <NEW_LINE> <INDENT> info[11].replace(assists[0], p1) <NEW_LINE> <DEDENT> return info[10... | Changes assisting players of info | 625941cff7d966606f6aa151 |
def bridgesPerResponse(hashring): <NEW_LINE> <INDENT> pass | Get the current number of bridges to return in a response. | 625941cf16aa5153ce3625c5 |
def write(self, *a, **kw): <NEW_LINE> <INDENT> self.response.out.write(*a, **kw) | write: Write response
Args:
*a:
**kw: | 625941cfd10714528d5ffe31 |
def model_offers_stat(self, model_id, geo_id=None, remote_ip=None): <NEW_LINE> <INDENT> params = {} <NEW_LINE> if geo_id is None and remote_ip is None: <NEW_LINE> <INDENT> raise NoGeoIdOrIP( "You must provide either geo_id or remote_ip") <NEW_LINE> <DEDENT> if geo_id: <NEW_LINE> <INDENT> params['geo_id'] = geo_id <NEW_... | Количество товарных предложений на модель по регионам
:param model_id: Идентификатор модели
:type model_id: int or str
:param geo_id: Идентификатор региона
:type geo_id: int or str
:param remote_ip: IP-адрес пользователя
:type remote_ip: str
:raises NoGeoIdOrIP: не передан обязательный параметр geo_id или remote_ip
... | 625941cf44b2445a339321e2 |
def connect_transport(protocol, factory=None): <NEW_LINE> <INDENT> if factory is None: <NEW_LINE> <INDENT> factory = ClientFactory() <NEW_LINE> <DEDENT> transport = StringTransportWithDisconnection() <NEW_LINE> protocol.makeConnection(transport) <NEW_LINE> transport.protocol = protocol <NEW_LINE> protocol.factory = fac... | Connect a StringTransport to a client protocol. | 625941cf99cbb53fe6792d33 |
def apply_cmvn_sliding(feat, center=False, window=600, min_window=100, norm_vars=False): <NEW_LINE> <INDENT> feat = apply_cmvn_sliding_internal( feat=feat.astype(np.float64), center=center, window=window, min_window=min_window, norm_vars=norm_vars ).astype(feat.dtype) <NEW_LINE> return feat | Apply sliding-window cepstral mean (and optionally variance) normalization
:param feat: Cepstrum.
:param center: If true, use a window centered on the current frame (to the extent possible, modulo end effects). If false, window is to the left. (bool, default = false)
:param window: Window in frames for running average... | 625941cfa8370b77170529ec |
def find_path(self, init_pos, time_limit=5 * 60): <NEW_LINE> <INDENT> self.reset() <NEW_LINE> if time_limit > 0: <NEW_LINE> <INDENT> self.end_time = timer.time() + time_limit <NEW_LINE> for planner in self.sub_search.itervalues(): <NEW_LINE> <INDENT> if hasattr(planner, 'end_time'): <NEW_LINE> <INDENT> planner.end_time... | Finds a path from init_pos to the goal specified when self
was instantiated.
init_pos - ((x1, y1), (x2, y2), ...) coordinates of initial
position
time_limit - time allocated to find a solution. Will raise an
exception if a path cannot be found within this time
period | 625941cf21a7993f00bc7e3d |
def _ingest_config_from_file(self): <NEW_LINE> <INDENT> config = configparser.ConfigParser() <NEW_LINE> for filename in self.__class__.CONFIG_FILE_LOCATIONS: <NEW_LINE> <INDENT> if os.path.isfile(filename): <NEW_LINE> <INDENT> try: <NEW_LINE> <INDENT> config.read(filename) <NEW_LINE> break <NEW_LINE> <DEDENT> except (c... | pull in config variables from a system file | 625941cf85dfad0860c3afa8 |
@app.route("/wfreq/<sample>") <NEW_LINE> def sample_wfreq(sample): <NEW_LINE> <INDENT> sel = [ Samples_Metadata.sample, Samples_Metadata.ETHNICITY, Samples_Metadata.GENDER, Samples_Metadata.AGE, Samples_Metadata.LOCATION, Samples_Metadata.BBTYPE, Samples_Metadata.WFREQ, ] <NEW_LINE> results = db.session.query(*sel).fil... | Return the MetaData for a given sample. | 625941cfbf627c535bc1331c |
def multibox_layer(end_points,size = (300,300)): <NEW_LINE> <INDENT> multibox_params = mp.get_multibox_parameters(size) <NEW_LINE> classifications = [] <NEW_LINE> logits = [] <NEW_LINE> localizations = [] <NEW_LINE> for i, layer in enumerate(multibox_params.feat_layers): <NEW_LINE> <INDENT> with tf.variable_scope(layer... | Generate several branches from the net trunk, each branch has a multibox head
which can transform feature layer into localizations and classification layer.
:param end_points: the collections from the main stream network
:param size: the mark of this type of ssd
:return: localizations and classification from each bran... | 625941cf0a50d4780f666fe0 |
def GetPointer(self): <NEW_LINE> <INDENT> return _itkIntensityWindowingImageFilterPython.itkIntensityWindowingImageFilterIUL3IUS3_Superclass_GetPointer(self) | GetPointer(self) -> itkIntensityWindowingImageFilterIUL3IUS3_Superclass | 625941cf60cbc95b062c6690 |
def configure_options(self): <NEW_LINE> <INDENT> super(MROutputExoduswithSVD, self).configure_options() <NEW_LINE> self.add_passthrough_option( '--variable', dest='variable', help='--variable VAR, the variable need to be inserted in the exodus file' ) <NEW_LINE> self.add_passthrough_option( '--outputname', dest='output... | Add command-line options specific to this script. | 625941cfbe7bc26dc91cd74c |
def calculate_mutual_information(X, u, v): <NEW_LINE> <INDENT> if u > v: <NEW_LINE> <INDENT> u, v = v, u <NEW_LINE> <DEDENT> marginal_u = marginal_distribution(X, u) <NEW_LINE> marginal_v = marginal_distribution(X, v) <NEW_LINE> marginal_uv = marginal_pair_distribution(X, u, v) <NEW_LINE> I = 0. <NEW_LINE> for x_u, p_x... | X are the data points.
u and v are the indices of the features to calculate the mutual information for. | 625941cf24f1403a92600cb2 |
def createClusterDict_old(proteinList): <NEW_LINE> <INDENT> from operator import attrgetter <NEW_LINE> cluster = '' <NEW_LINE> clusterDict = {} <NEW_LINE> proteinCluster = [] <NEW_LINE> for aProtein in sorted(proteinList, key=attrgetter('cluster', 'pKd', 'ECnum'), reverse = True): <NEW_LINE> <INDENT> if aProtein.cluste... | create a dict of cluster, with each entry is the protein IDs of this cluster | 625941cf460517430c3942d1 |
def healpix_to_image(healpix_data, coord_system_in, wcs_out, shape_out, order='bilinear', nested=False): <NEW_LINE> <INDENT> healpix_data = np.asarray(healpix_data, dtype=float) <NEW_LINE> yinds, xinds = np.indices(shape_out) <NEW_LINE> lon_out, lat_out = wcs_out.wcs_pix2world(xinds, yinds, 0) <NEW_LINE> coord_system_i... | Convert image in HEALPIX format to a normal FITS projection image (e.g.
CAR or AIT).
Parameters
----------
healpix_data : `numpy.ndarray`
HEALPIX data array
coord_system_in : str or `~astropy.coordinates.BaseCoordinateFrame`
The coordinate system for the input HEALPIX data, as an Astropy
coordinate frame o... | 625941cf7b25080760e395a6 |
def network_values_for(field): <NEW_LINE> <INDENT> return [_format_value(field, nv[field]) for nv in NETWORK_DEFINITIONS.values()] | Return all prefixes for field, i.e.: prefix_wif, prefix_address_p2sh, etc
>>> network_values_for('prefix_wif')
[b'\x99', b'\x80', b'\xef', b'\xb0', b'\xb0', b'\xef', b'\xcc', b'\xef', b'\x9e', b'\xf1']
>>> network_values_for('prefix_address_p2sh')
[b'\x95', b'\x05', b'\xc4', b'2', b'\x05', b':', b'\x10', b'\x13', b'\x... | 625941cf73bcbd0ca4b2c1c3 |
def read_cfg(f): <NEW_LINE> <INDENT> if isinstance(f, str): <NEW_LINE> <INDENT> f = open(f) <NEW_LINE> <DEDENT> nat = read_int_key(f, 'Number of particles') <NEW_LINE> unit = read_float_key(f, 'A') <NEW_LINE> cell = np.zeros( [ 3, 3 ] ) <NEW_LINE> for i in range(3): <NEW_LINE> <INDENT> for j in range(3): <NEW_LINE... | Read atomic configuration from a CFG-file (native AtomEye format).
See: http://mt.seas.upenn.edu/Archive/Graphics/A/ | 625941cfeab8aa0e5d26dca5 |
def __init__(self, qty, price_per_share, action, strategy, order, avg_price_per_share, commission=0.0, trade_date=None, ticker=None): <NEW_LINE> <INDENT> if trade_date: <NEW_LINE> <INDENT> self.trade_date = dt_utils.parse_date(trade_date) <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> self.trade_date = pd.Timestamp(date... | :param datetime trade_date: corresponding to the date and time of the
trade date
:param int qty: number of shares traded
:param float price_per_share: price per individual share in the trade
or the average share price in the trade
:param Asset ticker: a :py:class:`~.ticker.Asset`, the ``ticker``
object t... | 625941cf97e22403b379d0e7 |
def assignF(self, *args): <NEW_LINE> <INDENT> return _pyUni10.Qnum_assignF(self, *args) | assignF(Qnum self, uni10::parityFType _prtF, int _U1=0, uni10::parityType _prt=PRT_EVEN) -> Qnum
assignF(Qnum self, uni10::parityFType _prtF, int _U1=0) -> Qnum
assignF(Qnum self, uni10::parityFType _prtF) -> Qnum | 625941cfd164cc6175782e9b |
def ensure_default_setup(self): <NEW_LINE> <INDENT> p=Path(self._config_dir) <NEW_LINE> if not(p.exists()): <NEW_LINE> <INDENT> p.mkdir(parents=True) <NEW_LINE> <DEDENT> if not Path(self.config_file).exists(): <NEW_LINE> <INDENT> self.LOGGER.info("Creating default configuration file.") <NEW_LINE> self.create_config_fil... | Make sure that all the required files and directories exist,
creating them if not.
Breakdown of what will be done here:
* Check that the main configuration directory for the
application exists; if not, create it.
* Likewise, check that the main configuration file exists
within that dir, and create... | 625941cf24f1403a92600cb3 |
def set_fence_mode(self, on): <NEW_LINE> <INDENT> return self._arm.set_fense_mode(on) | Set the fence mode,turn on/off fense mode
Note:
1. This interface relies on Firmware 1.2.11 or above
:param on: True/False
:return: code
code: See the API code documentation for details. | 625941cf63d6d428bbe4463c |
def test_unknown_provider_in_url_scheme(providerstore: ProviderStore, url: URL) -> None: <NEW_LINE> <INDENT> packagepath = Path(filesystem=DictFilesystem({})) <NEW_LINE> package = Package("example", packagepath) <NEW_LINE> factories = [ConstProviderFactory(constprovider("default", package))] <NEW_LINE> registry = Provi... | It invokes providers with the original scheme. | 625941cfa17c0f6771cbe19d |
def extract_single_data_type(reader_list, feature='Symbol'): <NEW_LINE> <INDENT> d = [] <NEW_LINE> for row in reader_list: <NEW_LINE> <INDENT> x = row[feature] <NEW_LINE> if feature == 'Symbol': <NEW_LINE> <INDENT> xm = x.replace(" ", "") <NEW_LINE> d.append(xm) <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> pass <NEW_L... | Read in dict and return a single data type (feature)
from the list of dicts. | 625941cf956e5f7376d70fba |
def svm_sci(): <NEW_LINE> <INDENT> corpus, y = load_data() <NEW_LINE> vectorizer = TfidfVectorizer(corpus, max_features=4000) <NEW_LINE> X = vectorizer.fit_transform(corpus).toarray() <NEW_LINE> X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2) <NEW_LINE> svm = SVC(gamma="scale") <NEW_LINE> svm.f... | 通过 scikit-learn 库的 svm 工具进行分析
:return: | 625941cf7d43ff24873a2ded |
def pca_show(labels, embedding, uid_file): <NEW_LINE> <INDENT> import matplotlib.pyplot as plt <NEW_LINE> from sklearn.decomposition import PCA <NEW_LINE> from collections import Counter <NEW_LINE> uids=[line.strip() for line in open(uid_file)] <NEW_LINE> X = numpy.array(map(lambda uid: embedding[uid], uids)) <NEW_LINE... | simple_evaluate function uses default params without any params tuning | 625941cf3539df3088e2e498 |
def setup_apns_client(use_sandbox): <NEW_LINE> <INDENT> try: <NEW_LINE> <INDENT> apns_key = environment_vars.APNS_PROD_KEY_CONTENT <NEW_LINE> f = open('./apns_key.pem', 'w') <NEW_LINE> f.write(apns_key) <NEW_LINE> f.close() <NEW_LINE> <DEDENT> except Exception as e: <NEW_LINE> <INDENT> os.remove('./apns_key.pem') <NEW_... | Configura um cliente do servico apns2. Para mais informacoes, olhar a documentacao e o codigo dessa biblioteca.
:param use_sandbox:
:return: um objeto do tipo APNsClient para enviar push notifications. | 625941cf287bf620b61d3bb1 |
def processCell(self,cell,cells): <NEW_LINE> <INDENT> pass | Abstract method: default does nothing | 625941cf5f7d997b87174be5 |
def update(self): <NEW_LINE> <INDENT> for virus in list(self.getViruses()): <NEW_LINE> <INDENT> if virus.doesClear(): <NEW_LINE> <INDENT> self.viruses.remove(virus) <NEW_LINE> <DEDENT> <DEDENT> pop_density = float(self.getTotalPop()) / self.maxPop <NEW_LINE> for virus in list(self.getViruses()): <NEW_LINE> <INDENT> try... | Update the state of the virus population in this patient for a single
time step. update() should execute these actions in order:
- Determine whether each virus particle survives and update the list of
virus particles accordingly
- The current population density is calculated. This population density
value is used... | 625941cf1f037a2d8b94634b |
def efficientnet(width_coefficient=None, depth_coefficient=None, dropout_rate=0.2, drop_connect_rate=0.2): <NEW_LINE> <INDENT> blocks_args = [ 'r1_k3_s11_e1_i32_o16_se0.25', 'r2_k3_s22_e6_i16_o24_se0.25', 'r2_k5_s22_e6_i24_o40_se0.25', 'r3_k3_s22_e6_i40_o80_se0.25', 'r3_k5_s11_e6_i80_o112_se0.25', 'r4_k5_s22_e6_i112_o1... | Creates a efficientnet model. | 625941cf21a7993f00bc7e3e |
def action(self, req, id, body): <NEW_LINE> <INDENT> ctxt = req.environ['nova.context'] <NEW_LINE> common.instance_exists(ctxt, id, self.compute_api) <NEW_LINE> _actions = { 'restart': self._action_restart, 'resize': self._action_resize } <NEW_LINE> for key in body: <NEW_LINE> <INDENT> if key in _actions: <NEW_LINE> <I... | Multi-purpose method used to take actions on an instance. | 625941cf50485f2cf553cee8 |
def _decode(self, item): <NEW_LINE> <INDENT> return item | Decodes an item. | 625941cf3c8af77a43ae38ee |
@xl.register() <NEW_LINE> @xl.validate_args <NEW_LINE> def INT( number: func_xltypes.XlNumber ) -> func_xltypes.XlNumber: <NEW_LINE> <INDENT> if number < 0: <NEW_LINE> <INDENT> return _round(number, 0, _rounding=decimal.ROUND_UP) <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> return _round(number, 0, _rounding=decimal.R... | Rounds a number down to the nearest integer.
https://support.office.com/en-us/article/
int-function-a6c4af9e-356d-4369-ab6a-cb1fd9d343ef | 625941cf91f36d47f21ac641 |
def get_profiles(ids, VK_TOKEN=None): <NEW_LINE> <INDENT> if __param_cheker_vk_token(VK_TOKEN): <NEW_LINE> <INDENT> if VK_TOKEN is None: <NEW_LINE> <INDENT> VK_TOKEN = __ask_credentials() <NEW_LINE> <DEDENT> <DEDENT> ids_str = ', '.join([str(i) for i in ids]) <NEW_LINE> url_post = f'https://api.vk.com/method/users.get?... | Получаем расширенную информацию с профилей VK
* ids: список id профилей, не более 100 за раз
* return: сообщение об успешном выполнении | 625941cf8c3a873295158508 |
def process_historical_ntdb(self, vendor_lod_items): <NEW_LINE> <INDENT> rev_1_1 = self[vendor_lod_items.cvs_branch.source_id] <NEW_LINE> rev_1_2_id = rev_1_1.next_id <NEW_LINE> if rev_1_2_id is None: <NEW_LINE> <INDENT> rev_1_2_timestamp = None <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> rev_1_2_timestamp = self[rev... | There appears to have been a non-trunk default branch in the past.
There is currently no default branch, but the branch described by
file appears to have been imported. So our educated guess is that
all revisions on the '1.1.1' branch (described by
VENDOR_LOD_ITEMS) with timestamps prior to the timestamp of '1.2'
wer... | 625941cf498bea3a759b9bfc |
def fib_list(n): <NEW_LINE> <INDENT> fib_list = [] <NEW_LINE> n1 = 0 <NEW_LINE> n2 = 1 <NEW_LINE> while n > 0: <NEW_LINE> <INDENT> fib_list.append(n1) <NEW_LINE> n1, n2 = n2, n1+n2 <NEW_LINE> n = n-1 <NEW_LINE> <DEDENT> return fib_list | Generate the first n fibonacci numbers, return the full list. | 625941cf0a366e3fb873e968 |
def test_video_end_time_with_default_start_time(self): <NEW_LINE> <INDENT> data = {'end_time': '00:00:02'} <NEW_LINE> self.metadata = self.metadata_for_mode('youtube', additional_data=data) <NEW_LINE> self.navigate_to_video() <NEW_LINE> self.video.click_player_button('play') <NEW_LINE> self.video.wait_for_state('pause'... | Scenario: End time works for Youtube video if starts playing from beginning.
Given we have a video in "Youtube" mode with end time set to 00:00:02
And I click video button "play"
And I wait until video stop playing
Then I see video slider at "0:02" position | 625941cf3617ad0b5ed68045 |
def clean_vertex(adj, vertex): <NEW_LINE> <INDENT> for i in adj.values(): <NEW_LINE> <INDENT> if vertex in i: <NEW_LINE> <INDENT> i.remove(vertex) | Remove `vertex` from the neighbour nodes of every node in `adj`
Given an adjacency list, it will remove an specific vertex from every
list of neighbour vertexes in the adjacency list. | 625941cf7cff6e4e81117ad3 |
def errorValidGraph(self, localRes, outputWitness): <NEW_LINE> <INDENT> validity = LogicalOr( LogicalAnd( Test(localRes, specifier=Test.IsNaN, precision=ML_Bool), Test(outputWitness, specifier=Test.IsNaN, precision=ML_Bool), precision=ML_Bool), LogicalNot(LogicalOr( Test(localRes, specifier=Test.IsNaN, precision=ML_Boo... | generation an operation graph to evaluate the validity of evaluation
error expression | 625941cfad47b63b2c50a0cd |
def tocsr(self, copy=False): <NEW_LINE> <INDENT> return self.tocoo(copy=copy).tocsr(copy=False) | Convert this matrix to Compressed Sparse Row format.
With copy=False, the data/indices may be shared between this matrix and
the resultant csr_matrix. | 625941cf9b70327d1c4e0f23 |
@register.filter <NEW_LINE> def gravatar(email, size="75"): <NEW_LINE> <INDENT> gravatar_url = "//www.gravatar.com/avatar/" + hashlib.md5(email.encode('utf-8')).hexdigest() + "?" <NEW_LINE> gravatar_url += urlencode({'d': 'retro', 's': str(size)}) <NEW_LINE> return gravatar_url | {% load gravatar_tags %}
{{ request.user.email|gravatar:"75" }} | 625941cfe64d504609d7498d |
def check_callable(x: object) -> ResultComparison: <NEW_LINE> <INDENT> return compare_results(callable, x) | post: _ | 625941cfde87d2750b85fee1 |
def encrypt_message(self, message): <NEW_LINE> <INDENT> key = self.load_key() <NEW_LINE> encoded_message = message.encode() <NEW_LINE> f = Fernet(key) <NEW_LINE> encrypted_message = f.encrypt(encoded_message) <NEW_LINE> print(encrypted_message) <NEW_LINE> return encrypted_message | Encrypts a message | 625941cf0fa83653e4657108 |
def doDoc_GetDocMeta(self,docUri): <NEW_LINE> <INDENT> params = {} <NEW_LINE> params['context'] = self.context <NEW_LINE> params['docUri'] = self.fixTypes(docUri) <NEW_LINE> ret= self.runMultipart("/doc", "GETDOCMETA", params) <NEW_LINE> return ret['response'] | Retrieves only the meta data associated with a document, including version and user
information. If the storage does notsupport metadata, this method returns a dummy
object. | 625941cfdd821e528d63b2f6 |
def test_generate_frames_all_servers_discovered(self): <NEW_LINE> <INDENT> pass | Test generate_frames() on a list of events
that defines each server with a status by the end
(so when the final frame is generated, no servers
should be UNDISCOVERED) | 625941cfcad5886f8bd27127 |
def _center_text(text): <NEW_LINE> <INDENT> spacing_left = (TextDocument.MAX_LINE_LEN - len(text)) // 2 <NEW_LINE> spacing_right = TextDocument.MAX_LINE_LEN - len(text) - spacing_left <NEW_LINE> centre_text = ' ' * spacing_left + text + ' ' * spacing_right <NEW_LINE> return centre_text | Centres text on the page. | 625941cf21bff66bcd684aa0 |
def get_ipaddr(self): <NEW_LINE> <INDENT> if (len(self.loopbacks)): <NEW_LINE> <INDENT> for lo in self.loopbacks: <NEW_LINE> <INDENT> ips = lo.ips <NEW_LINE> if (len(ips)): <NEW_LINE> <INDENT> if ips[0].startswith('127.0.0.1'): <NEW_LINE> <INDENT> continue <NEW_LINE> <DEDENT> ips.sort() <NEW_LINE> return util.strip_sla... | Return the best IP address for this device.
Returns the first matching IP:
- Lowest Loopback interface
- Lowest SVI address/known IP | 625941cf26238365f5f0efbc |
def start(self): <NEW_LINE> <INDENT> self.create_workers(self._num_workers) <NEW_LINE> self._logger.info('Thread Pool Started with {} workers.'.format(self._num_workers)) | 创建线程池，开始运行
:return: | 625941cf0c0af96317bb8336 |
def run(self, auto_start=True): <NEW_LINE> <INDENT> if auto_start: <NEW_LINE> <INDENT> for process in self.processes: <NEW_LINE> <INDENT> process.start() <NEW_LINE> <DEDENT> <DEDENT> self.is_running = True <NEW_LINE> while self.is_running: <NEW_LINE> <INDENT> for process in self.processes: <NEW_LINE> <INDENT> if proces... | Run processes at their defined intervals.
Args:
auto_start: Start all assigned processes (optional). | 625941cfb5575c28eb68e14e |
def _retrieve(self,seq,i): <NEW_LINE> <INDENT> if i == len(seq): <NEW_LINE> <INDENT> return list(self.null) <NEW_LINE> <DEDENT> dig = seq[i] <NEW_LINE> if "2" <= dig and dig <= "9": <NEW_LINE> <INDENT> index = int(dig) - 2 <NEW_LINE> if self.children[index] is None: <NEW_LINE> <INDENT> return [] <NEW_LINE> <DEDENT> ret... | Recursively traces through to the node representing
the ith digit of the sequence, or returns that there is
no such path, indicating that no words match.
Raises:
ValueError: The sequence has an illegal character. | 625941cf925a0f43d2549fc5 |
def set_current_level(self, new_logging_level): <NEW_LINE> <INDENT> if new_logging_level in self.config.logging_levels: <NEW_LINE> <INDENT> self.current_logging_level = new_logging_level <NEW_LINE> return True <NEW_LINE> <DEDENT> else: <NEW_LINE> <INDENT> return False | Changes the current logging level
Verify that the new logging level is valid and change the current logging level
to the new logging level.
Args:
new_logging_level (str): the name of the new logging level
Returns:
bool: whether the operation was successful or not | 625941cfd8ef3951e324368b |
def __calc_ft(self, theta, coeffs): <NEW_LINE> <INDENT> ft = 0.0 <NEW_LINE> try: <NEW_LINE> <INDENT> for i, c in enumerate(coeffs): <NEW_LINE> <INDENT> ft += c * math.cos(theta * i * math.pi / 180) <NEW_LINE> <DEDENT> return ft <NEW_LINE> <DEDENT> except Exception as e: <NEW_LINE> <INDENT> raise | 所要値の計算
* θ, 係数配列から次式により所要値を計算する。
f(t) = C_0 + C_1 * cos(θ) + C_2 * cos(2θ) + ... + C_N * cos(Nθ)
:param float theta: θ
:param list coeffs: 係数配列
:return float ft: 所要値 | 625941cf5e10d32532c5f075 |
def extended_attributes_to_constructors(extended_attributes): <NEW_LINE> <INDENT> constructor_list = extended_attributes.get('Constructors', []) <NEW_LINE> constructors = [ IdlOperation.constructor_from_arguments_node('Constructor', arguments_node) for arguments_node in constructor_list] <NEW_LINE> custom_constructor_l... | Returns constructors and custom_constructors (lists of IdlOperations).
Auxiliary function for IdlInterface.__init__. | 625941cf85dfad0860c3afa9 |
def __iter__(self): <NEW_LINE> <INDENT> def iter_wrapper(): <NEW_LINE> <INDENT> while True: <NEW_LINE> <INDENT> yield self.generator.send(self.pop()) <NEW_LINE> <DEDENT> <DEDENT> return iter_wrapper() | Return the iterator for this class | 625941cf5fcc89381b1e180d |
def freq_str(_str): <NEW_LINE> <INDENT> print(f'Введенная строка: {_str}') <NEW_LINE> while len(_str) != 0: <NEW_LINE> <INDENT> print(f'Символ {_str[0]} используется {_str.count(_str[0])} раз(а)') <NEW_LINE> _str = _str.replace(_str[0],'') <NEW_LINE> print(_str) | Функция для определения частоты использования использования
символов в тексте.
Пользователь вводит строку, состоящую из любого набора букв/символов.
Далее поэлементно пробегаем по каждому символу,и на экране происходит
вывод каждого символа и частота его использования в введенной строке. | 625941cf566aa707497f46b6 |
def write_max_min_ca_resi_versions(fname,ref_pdb_fname,non_ca_resis=[160,],overwrite=False): <NEW_LINE> <INDENT> fnames = {'max':'_resi_max'.join(os.path.splitext(fname))+'.bz2', 'min':'_resi_min'.join(os.path.splitext(fname))+'.bz2', 'abs':'_resi_abs'.join(os.path.splitext(fname))+'.bz2', 'ca' :'_resi_ca'.join( os.pat... | fname is the .dat file, a simple matrix file output by ptraj.
ref_pdb_fname is used to get atom names and resi names, so that we can
properly select the max,min,abs,ca atoms from each resi.
overwrite tells us whether or not to overwrite existing files.
non_ca_resis is a list of resis that do not contain a... | 625941cf046cf37aa974ce95 |
def delete_block_from_canonical_chain(self, block_hash: Hash32) -> None: <NEW_LINE> <INDENT> try: <NEW_LINE> <INDENT> header_to_remove = self.get_block_header_by_hash(block_hash) <NEW_LINE> canonical_block_hash = self.get_canonical_block_hash(header_to_remove.block_number, header_to_remove.chain_address) <NEW_LINE> if ... | warning, this will only delete the block and transactions, it will not set the current head number of the chain. | 625941cfe1aae11d1e749e05 |
def enter(self,key,val): <NEW_LINE> <INDENT> self[key] = val | add key=val to the table | 625941cf6e29344779a62760 |
def reset_stats(self): <NEW_LINE> <INDENT> self.pads_left = self.ai_settings.pads_limit <NEW_LINE> self.score = 0 <NEW_LINE> self.level = 1 | Initialize statistics that can change during the game. | 625941cf3317a56b86939da5 |
def log_dot_mv(logM, logb): <NEW_LINE> <INDENT> return special.logsumexp(logM + np.expand_dims(logb, axis=0), axis=1) | 通过log向量和log矩阵，计算log(矩阵 点乘 向量) | 625941cf5510c4643540f531 |
def next(comp, min_length, max_length, floor, ceiling, min_slope, max_slope): <NEW_LINE> <INDENT> stopgap("Next uses the old implementation of IntegerListsLex, which does not allow for arbitrary input;" " non-allowed input can return wrong results," " please see the documentation for IntegerListsLex for details.", 1754... | Returns the next integer list after ``comp`` that satisfies the
constraints.
.. WARNING::
INTERNAL FUNCTION! DO NOT USE DIRECTLY!
EXAMPLES::
sage: from sage.combinat.integer_list_old import next
sage: IV = sage.combinat.integer_list_old.IntegerListsLex(n=2,length=3,min_slope=0)
sage: next([0,1,1], 3,... | 625941cfcc40096d61595a9e |
def core_names(self): <NEW_LINE> <INDENT> valid_cores = list(self.cores.keys()) <NEW_LINE> if 'test' in valid_cores: <NEW_LINE> <INDENT> valid_cores.remove('test') <NEW_LINE> <DEDENT> return valid_cores | Returns a list of known valid cores in the Solr instance without
making a request to Solr - this request excludes cores used for testing. | 625941cf442bda511e8be566 |
def read_data(): <NEW_LINE> <INDENT> f = open(os.path.join(os.path.dirname(sys.argv[0]), r'./badCritiques.txt'), 'r') <NEW_LINE> bad = f.read().split('|') <NEW_LINE> bad = [sentence.replace('\n', '') for sentence in bad] <NEW_LINE> f.close() <NEW_LINE> f = open(os.path.join(os.path.dirname(sys.argv[0]), r'.\goodCritiqu... | reads data files and returns lists of comments and labels | 625941cf92d797404e3042d8 |
def _get_list_item(self, st, li, key): <NEW_LINE> <INDENT> for i, item in enumerate(li): <NEW_LINE> <INDENT> if item[key] == st: <NEW_LINE> <INDENT> return i | returns index | 625941cfec188e330fd5a8ec |
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