_id stringlengths 2 7 | title stringlengths 1 88 | partition stringclasses 3
values | text stringlengths 75 19.8k | language stringclasses 1
value | meta_information dict |
|---|---|---|---|---|---|
q225700 | voxelize | train | def voxelize(obj, **kwargs):
""" Generates binary voxel representation of the surfaces and volumes.
Keyword Arguments:
* ``grid_size``: size of the voxel grid. *Default: (8, 8, 8)*
* ``padding``: voxel padding for in-outs finding. *Default: 10e-8*
* ``use_cubes``: use cube voxels instea... | python | {
"resource": ""
} |
q225701 | convert_bb_to_faces | train | def convert_bb_to_faces(voxel_grid):
""" Converts a voxel grid defined by min and max coordinates to a voxel grid defined by faces.
:param voxel_grid: voxel grid defined by the bounding box of all voxels
:return: voxel grid with face data
"""
new_vg = []
for v in voxel_grid:
# Vertices
... | python | {
"resource": ""
} |
q225702 | save_voxel_grid | train | def save_voxel_grid(voxel_grid, file_name):
""" Saves binary voxel grid as a binary file.
The binary file is structured in little-endian unsigned int format.
:param voxel_grid: binary voxel grid
:type voxel_grid: list, tuple
:param file_name: file name to save
:type file_name: str
"""
... | python | {
"resource": ""
} |
q225703 | vector_cross | train | def vector_cross(vector1, vector2):
""" Computes the cross-product of the input vectors.
:param vector1: input vector 1
:type vector1: list, tuple
:param vector2: input vector 2
:type vector2: list, tuple
:return: result of the cross product
:rtype: tuple
"""
try:
if vector1... | python | {
"resource": ""
} |
q225704 | vector_dot | train | def vector_dot(vector1, vector2):
""" Computes the dot-product of the input vectors.
:param vector1: input vector 1
:type vector1: list, tuple
:param vector2: input vector 2
:type vector2: list, tuple
:return: result of the dot product
:rtype: float
"""
try:
if vector1 is No... | python | {
"resource": ""
} |
q225705 | vector_sum | train | def vector_sum(vector1, vector2, coeff=1.0):
""" Sums the vectors.
This function computes the result of the vector operation :math:`\\overline{v}_{1} + c * \\overline{v}_{2}`, where
:math:`\\overline{v}_{1}` is ``vector1``, :math:`\\overline{v}_{2}` is ``vector2`` and :math:`c` is ``coeff``.
:param v... | python | {
"resource": ""
} |
q225706 | vector_normalize | train | def vector_normalize(vector_in, decimals=18):
""" Generates a unit vector from the input.
:param vector_in: vector to be normalized
:type vector_in: list, tuple
:param decimals: number of significands
:type decimals: int
:return: the normalized vector (i.e. the unit vector)
:rtype: list
... | python | {
"resource": ""
} |
q225707 | vector_generate | train | def vector_generate(start_pt, end_pt, normalize=False):
""" Generates a vector from 2 input points.
:param start_pt: start point of the vector
:type start_pt: list, tuple
:param end_pt: end point of the vector
:type end_pt: list, tuple
:param normalize: if True, the generated vector is normaliz... | python | {
"resource": ""
} |
q225708 | vector_magnitude | train | def vector_magnitude(vector_in):
""" Computes the magnitude of the input vector.
:param vector_in: input vector
:type vector_in: list, tuple
:return: magnitude of the vector
:rtype: float
"""
sq_sum = 0.0
for vin in vector_in:
sq_sum += vin**2
return math.sqrt(sq_sum) | python | {
"resource": ""
} |
q225709 | vector_angle_between | train | def vector_angle_between(vector1, vector2, **kwargs):
""" Computes the angle between the two input vectors.
If the keyword argument ``degrees`` is set to *True*, then the angle will be in degrees. Otherwise, it will be
in radians. By default, ``degrees`` is set to *True*.
:param vector1: vector
:t... | python | {
"resource": ""
} |
q225710 | vector_is_zero | train | def vector_is_zero(vector_in, tol=10e-8):
""" Checks if the input vector is a zero vector.
:param vector_in: input vector
:type vector_in: list, tuple
:param tol: tolerance value
:type tol: float
:return: True if the input vector is zero, False otherwise
:rtype: bool
"""
if not isin... | python | {
"resource": ""
} |
q225711 | point_translate | train | def point_translate(point_in, vector_in):
""" Translates the input points using the input vector.
:param point_in: input point
:type point_in: list, tuple
:param vector_in: input vector
:type vector_in: list, tuple
:return: translated point
:rtype: list
"""
try:
if point_in ... | python | {
"resource": ""
} |
q225712 | point_distance | train | def point_distance(pt1, pt2):
""" Computes distance between two points.
:param pt1: point 1
:type pt1: list, tuple
:param pt2: point 2
:type pt2: list, tuple
:return: distance between input points
:rtype: float
"""
if len(pt1) != len(pt2):
raise ValueError("The input points ... | python | {
"resource": ""
} |
q225713 | point_mid | train | def point_mid(pt1, pt2):
""" Computes the midpoint of the input points.
:param pt1: point 1
:type pt1: list, tuple
:param pt2: point 2
:type pt2: list, tuple
:return: midpoint
:rtype: list
"""
if len(pt1) != len(pt2):
raise ValueError("The input points should have the same d... | python | {
"resource": ""
} |
q225714 | matrix_transpose | train | def matrix_transpose(m):
""" Transposes the input matrix.
The input matrix :math:`m` is a 2-dimensional array.
:param m: input matrix with dimensions :math:`(n \\times m)`
:type m: list, tuple
:return: transpose matrix with dimensions :math:`(m \\times n)`
:rtype: list
"""
num_cols = l... | python | {
"resource": ""
} |
q225715 | triangle_center | train | def triangle_center(tri, uv=False):
""" Computes the center of mass of the input triangle.
:param tri: triangle object
:type tri: elements.Triangle
:param uv: if True, then finds parametric position of the center of mass
:type uv: bool
:return: center of mass of the triangle
:rtype: tuple
... | python | {
"resource": ""
} |
q225716 | lu_decomposition | train | def lu_decomposition(matrix_a):
""" LU-Factorization method using Doolittle's Method for solution of linear systems.
Decomposes the matrix :math:`A` such that :math:`A = LU`.
The input matrix is represented by a list or a tuple. The input matrix is **2-dimensional**, i.e. list of lists of
integers and... | python | {
"resource": ""
} |
q225717 | forward_substitution | train | def forward_substitution(matrix_l, matrix_b):
""" Forward substitution method for the solution of linear systems.
Solves the equation :math:`Ly = b` using forward substitution method
where :math:`L` is a lower triangular matrix and :math:`b` is a column matrix.
:param matrix_l: L, lower triangular mat... | python | {
"resource": ""
} |
q225718 | backward_substitution | train | def backward_substitution(matrix_u, matrix_y):
""" Backward substitution method for the solution of linear systems.
Solves the equation :math:`Ux = y` using backward substitution method
where :math:`U` is a upper triangular matrix and :math:`y` is a column matrix.
:param matrix_u: U, upper triangular ... | python | {
"resource": ""
} |
q225719 | linspace | train | def linspace(start, stop, num, decimals=18):
""" Returns a list of evenly spaced numbers over a specified interval.
Inspired from Numpy's linspace function: https://github.com/numpy/numpy/blob/master/numpy/core/function_base.py
:param start: starting value
:type start: float
:param stop: end value... | python | {
"resource": ""
} |
q225720 | convex_hull | train | def convex_hull(points):
""" Returns points on convex hull in counterclockwise order according to Graham's scan algorithm.
Reference: https://gist.github.com/arthur-e/5cf52962341310f438e96c1f3c3398b8
.. note:: This implementation only works in 2-dimensional space.
:param points: list of 2-dimensional... | python | {
"resource": ""
} |
q225721 | is_left | train | def is_left(point0, point1, point2):
""" Tests if a point is Left|On|Right of an infinite line.
Ported from the C++ version: on http://geomalgorithms.com/a03-_inclusion.html
.. note:: This implementation only works in 2-dimensional space.
:param point0: Point P0
:param point1: Point P1
:param... | python | {
"resource": ""
} |
q225722 | wn_poly | train | def wn_poly(point, vertices):
""" Winding number test for a point in a polygon.
Ported from the C++ version: http://geomalgorithms.com/a03-_inclusion.html
.. note:: This implementation only works in 2-dimensional space.
:param point: point to be tested
:type point: list, tuple
:param vertices... | python | {
"resource": ""
} |
q225723 | construct_surface | train | def construct_surface(direction, *args, **kwargs):
""" Generates surfaces from curves.
Arguments:
* ``args``: a list of curve instances
Keyword Arguments (optional):
* ``degree``: degree of the 2nd parametric direction
* ``knotvector``: knot vector of the 2nd parametric direction
... | python | {
"resource": ""
} |
q225724 | extract_curves | train | def extract_curves(psurf, **kwargs):
""" Extracts curves from a surface.
The return value is a ``dict`` object containing the following keys:
* ``u``: the curves which generate u-direction (or which lie on the v-direction)
* ``v``: the curves which generate v-direction (or which lie on the u-direction... | python | {
"resource": ""
} |
q225725 | extract_surfaces | train | def extract_surfaces(pvol):
""" Extracts surfaces from a volume.
:param pvol: input volume
:type pvol: abstract.Volume
:return: extracted surface
:rtype: dict
"""
if pvol.pdimension != 3:
raise GeomdlException("The input should be a spline volume")
if len(pvol) != 1:
rai... | python | {
"resource": ""
} |
q225726 | extract_isosurface | train | def extract_isosurface(pvol):
""" Extracts the largest isosurface from a volume.
The following example illustrates one of the usage scenarios:
.. code-block:: python
:linenos:
from geomdl import construct, multi
from geomdl.visualization import VisMPL
# Assuming that "myv... | python | {
"resource": ""
} |
q225727 | check_trim_curve | train | def check_trim_curve(curve, parbox, **kwargs):
""" Checks if the trim curve was closed and sense was set.
:param curve: trim curve
:param parbox: parameter space bounding box of the underlying surface
:return: a tuple containing the status of the operation and list of extra trim curves generated
:r... | python | {
"resource": ""
} |
q225728 | get_par_box | train | def get_par_box(domain, last=False):
""" Returns the bounding box of the surface parametric domain in ccw direction.
:param domain: parametric domain
:type domain: list, tuple
:param last: if True, adds the first vertex to the end of the return list
:type last: bool
:return: edges of the parame... | python | {
"resource": ""
} |
q225729 | detect_sense | train | def detect_sense(curve, tol):
""" Detects the sense, i.e. clockwise or counter-clockwise, of the curve.
:param curve: 2-dimensional trim curve
:type curve: abstract.Curve
:param tol: tolerance value
:type tol: float
:return: True if detection is successful, False otherwise
:rtype: bool
... | python | {
"resource": ""
} |
q225730 | intersect | train | def intersect(ray1, ray2, **kwargs):
""" Finds intersection of 2 rays.
This functions finds the parameter values for the 1st and 2nd input rays and returns a tuple of
``(parameter for ray1, parameter for ray2, intersection status)``.
``status`` value is a enum type which reports the case which the inte... | python | {
"resource": ""
} |
q225731 | Freeform.evaluate | train | def evaluate(self, **kwargs):
""" Sets points that form the geometry.
Keyword Arguments:
* ``points``: sets the points
"""
self._eval_points = kwargs.get('points', self._init_array())
self._dimension = len(self._eval_points[0]) | python | {
"resource": ""
} |
q225732 | export_polydata | train | def export_polydata(obj, file_name, **kwargs):
""" Exports control points or evaluated points in VTK Polydata format.
Please see the following document for details: http://www.vtk.org/VTK/img/file-formats.pdf
Keyword Arguments:
* ``point_type``: **ctrlpts** for control points or **evalpts** for ev... | python | {
"resource": ""
} |
q225733 | make_zigzag | train | def make_zigzag(points, num_cols):
""" Converts linear sequence of points into a zig-zag shape.
This function is designed to create input for the visualization software. It orders the points to draw a zig-zag
shape which enables generating properly connected lines without any scanlines. Please see the belo... | python | {
"resource": ""
} |
q225734 | make_quad | train | def make_quad(points, size_u, size_v):
""" Converts linear sequence of input points into a quad structure.
:param points: list of points to be ordered
:type points: list, tuple
:param size_v: number of elements in a row
:type size_v: int
:param size_u: number of elements in a column
:type s... | python | {
"resource": ""
} |
q225735 | make_quadtree | train | def make_quadtree(points, size_u, size_v, **kwargs):
""" Generates a quadtree-like structure from surface control points.
This function generates a 2-dimensional list of control point coordinates. Considering the object-oriented
representation of a quadtree data structure, first dimension of the generated ... | python | {
"resource": ""
} |
q225736 | evaluate_bounding_box | train | def evaluate_bounding_box(ctrlpts):
""" Computes the minimum bounding box of the point set.
The (minimum) bounding box is the smallest enclosure in which all the input points lie.
:param ctrlpts: points
:type ctrlpts: list, tuple
:return: bounding box in the format [min, max]
:rtype: tuple
... | python | {
"resource": ""
} |
q225737 | make_triangle_mesh | train | def make_triangle_mesh(points, size_u, size_v, **kwargs):
""" Generates a triangular mesh from an array of points.
This function generates a triangular mesh for a NURBS or B-Spline surface on its parametric space.
The input is the surface points and the number of points on the parametric dimensions u and v... | python | {
"resource": ""
} |
q225738 | polygon_triangulate | train | def polygon_triangulate(tri_idx, *args):
""" Triangulates a monotone polygon defined by a list of vertices.
The input vertices must form a convex polygon and must be arranged in counter-clockwise order.
:param tri_idx: triangle numbering start value
:type tri_idx: int
:param args: list of Vertex o... | python | {
"resource": ""
} |
q225739 | make_quad_mesh | train | def make_quad_mesh(points, size_u, size_v):
""" Generates a mesh of quadrilateral elements.
:param points: list of points
:type points: list, tuple
:param size_u: number of points on the u-direction (column)
:type size_u: int
:param size_v: number of points on the v-direction (row)
:type si... | python | {
"resource": ""
} |
q225740 | surface_tessellate | train | def surface_tessellate(v1, v2, v3, v4, vidx, tidx, trim_curves, tessellate_args):
""" Triangular tessellation algorithm for surfaces with no trims.
This function can be directly used as an input to :func:`.make_triangle_mesh` using ``tessellate_func`` keyword
argument.
:param v1: vertex 1
:type v1... | python | {
"resource": ""
} |
q225741 | gone_online | train | def gone_online(stream):
"""
Distributes the users online status to everyone he has dialog with
"""
while True:
packet = yield from stream.get()
session_id = packet.get('session_key')
if session_id:
user_owner = get_user_from_session(session_id)
i... | python | {
"resource": ""
} |
q225742 | new_messages_handler | train | def new_messages_handler(stream):
"""
Saves a new chat message to db and distributes msg to connected users
"""
# TODO: handle no user found exception
while True:
packet = yield from stream.get()
session_id = packet.get('session_key')
msg = packet.get('message')
... | python | {
"resource": ""
} |
q225743 | users_changed_handler | train | def users_changed_handler(stream):
"""
Sends connected client list of currently active users in the chatroom
"""
while True:
yield from stream.get()
# Get list list of current active users
users = [
{'username': username, 'uuid': uuid_str}
for u... | python | {
"resource": ""
} |
q225744 | is_typing_handler | train | def is_typing_handler(stream):
"""
Show message to opponent if user is typing message
"""
while True:
packet = yield from stream.get()
session_id = packet.get('session_key')
user_opponent = packet.get('username')
typing = packet.get('typing')
if session_i... | python | {
"resource": ""
} |
q225745 | read_message_handler | train | def read_message_handler(stream):
"""
Send message to user if the opponent has read the message
"""
while True:
packet = yield from stream.get()
session_id = packet.get('session_key')
user_opponent = packet.get('username')
message_id = packet.get('message_id')
... | python | {
"resource": ""
} |
q225746 | main_handler | train | def main_handler(websocket, path):
"""
An Asyncio Task is created for every new websocket client connection
that is established. This coroutine listens to messages from the connected
client and routes the message to the proper queue.
This coroutine can be thought of as a producer.
"""
... | python | {
"resource": ""
} |
q225747 | anyword_substring_search_inner | train | def anyword_substring_search_inner(query_word, target_words):
""" return True if ANY target_word matches a query_word
"""
for target_word in target_words:
if(target_word.startswith(query_word)):
return query_word
return False | python | {
"resource": ""
} |
q225748 | anyword_substring_search | train | def anyword_substring_search(target_words, query_words):
""" return True if all query_words match
"""
matches_required = len(query_words)
matches_found = 0
for query_word in query_words:
reply = anyword_substring_search_inner(query_word, target_words)
if reply is not False:
... | python | {
"resource": ""
} |
q225749 | substring_search | train | def substring_search(query, list_of_strings, limit_results=DEFAULT_LIMIT):
""" main function to call for searching
"""
matching = []
query_words = query.split(' ')
# sort by longest word (higest probability of not finding a match)
query_words.sort(key=len, reverse=True)
counter = 0
... | python | {
"resource": ""
} |
q225750 | search_people_by_bio | train | def search_people_by_bio(query, limit_results=DEFAULT_LIMIT,
index=['onename_people_index']):
""" queries lucene index to find a nearest match, output is profile username
"""
from pyes import QueryStringQuery, ES
conn = ES()
q = QueryStringQuery(query,
... | python | {
"resource": ""
} |
q225751 | order_search_results | train | def order_search_results(query, search_results):
""" order of results should be a) query in first name, b) query in last name
"""
results = search_results
results_names = []
old_query = query
query = query.split(' ')
first_word = ''
second_word = ''
third_word = ''
if(len(que... | python | {
"resource": ""
} |
q225752 | get_data_hash | train | def get_data_hash(data_txt):
"""
Generate a hash over data for immutable storage.
Return the hex string.
"""
h = hashlib.sha256()
h.update(data_txt)
return h.hexdigest() | python | {
"resource": ""
} |
q225753 | verify_zonefile | train | def verify_zonefile( zonefile_str, value_hash ):
"""
Verify that a zonefile hashes to the given value hash
@zonefile_str must be the zonefile as a serialized string
"""
zonefile_hash = get_zonefile_data_hash( zonefile_str )
if zonefile_hash != value_hash:
log.debug("Zonefile hash mismatc... | python | {
"resource": ""
} |
q225754 | atlas_peer_table_lock | train | def atlas_peer_table_lock():
"""
Lock the global health info table.
Return the table.
"""
global PEER_TABLE_LOCK, PEER_TABLE, PEER_TABLE_LOCK_HOLDER, PEER_TABLE_LOCK_TRACEBACK
if PEER_TABLE_LOCK_HOLDER is not None:
assert PEER_TABLE_LOCK_HOLDER != threading.current_thread(), "DEADLOCK"
... | python | {
"resource": ""
} |
q225755 | atlas_peer_table_unlock | train | def atlas_peer_table_unlock():
"""
Unlock the global health info table.
"""
global PEER_TABLE_LOCK, PEER_TABLE_LOCK_HOLDER, PEER_TABLE_LOCK_TRACEBACK
try:
assert PEER_TABLE_LOCK_HOLDER == threading.current_thread()
except:
log.error("Locked by %s, unlocked by %s" % (PEER_TAB... | python | {
"resource": ""
} |
q225756 | atlasdb_format_query | train | def atlasdb_format_query( query, values ):
"""
Turn a query into a string for printing.
Useful for debugging.
"""
return "".join( ["%s %s" % (frag, "'%s'" % val if type(val) in [str, unicode] else val) for (frag, val) in zip(query.split("?"), values + ("",))] ) | python | {
"resource": ""
} |
q225757 | atlasdb_open | train | def atlasdb_open( path ):
"""
Open the atlas db.
Return a connection.
Return None if it doesn't exist
"""
if not os.path.exists(path):
log.debug("Atlas DB doesn't exist at %s" % path)
return None
con = sqlite3.connect( path, isolation_level=None )
con.row_factory = atlas... | python | {
"resource": ""
} |
q225758 | atlasdb_add_zonefile_info | train | def atlasdb_add_zonefile_info( name, zonefile_hash, txid, present, tried_storage, block_height, con=None, path=None ):
"""
Add a zonefile to the database.
Mark it as present or absent.
Keep our in-RAM inventory vector up-to-date
"""
global ZONEFILE_INV, NUM_ZONEFILES, ZONEFILE_INV_LOCK
with... | python | {
"resource": ""
} |
q225759 | atlasdb_get_lastblock | train | def atlasdb_get_lastblock( con=None, path=None ):
"""
Get the highest block height in the atlas db
"""
row = None
with AtlasDBOpen(con=con, path=path) as dbcon:
sql = "SELECT MAX(block_height) FROM zonefiles;"
args = ()
cur = dbcon.cursor()
res = atlasdb_query_execu... | python | {
"resource": ""
} |
q225760 | atlasdb_get_zonefiles_missing_count_by_name | train | def atlasdb_get_zonefiles_missing_count_by_name(name, max_index=None, indexes_exclude=[], con=None, path=None):
"""
Get the number of missing zone files for a particular name, optionally up to a maximum
zonefile index and optionally omitting particular zone files in the count.
Returns an integer
"""... | python | {
"resource": ""
} |
q225761 | atlasdb_get_zonefiles_by_hash | train | def atlasdb_get_zonefiles_by_hash(zonefile_hash, block_height=None, con=None, path=None):
"""
Find all instances of this zone file in the atlasdb.
Optionally filter on block height
Returns [{'name': ..., 'zonefile_hash': ..., 'txid': ..., 'inv_index': ..., 'block_height': ..., 'present': ..., 'tried_st... | python | {
"resource": ""
} |
q225762 | atlasdb_set_zonefile_tried_storage | train | def atlasdb_set_zonefile_tried_storage( zonefile_hash, tried_storage, con=None, path=None ):
"""
Make a note that we tried to get the zonefile from storage
"""
with AtlasDBOpen(con=con, path=path) as dbcon:
if tried_storage:
tried_storage = 1
else:
tried_storage =... | python | {
"resource": ""
} |
q225763 | atlasdb_reset_zonefile_tried_storage | train | def atlasdb_reset_zonefile_tried_storage( con=None, path=None ):
"""
For zonefiles that we don't have, re-attempt to fetch them from storage.
"""
with AtlasDBOpen(con=con, path=path) as dbcon:
sql = "UPDATE zonefiles SET tried_storage = ? WHERE present = ?;"
args = (0, 0)
cur ... | python | {
"resource": ""
} |
q225764 | atlasdb_cache_zonefile_info | train | def atlasdb_cache_zonefile_info( con=None, path=None ):
"""
Load up and cache our zonefile inventory from the database
"""
global ZONEFILE_INV, NUM_ZONEFILES, ZONEFILE_INV_LOCK
inv = None
with ZONEFILE_INV_LOCK:
inv_len = atlasdb_zonefile_inv_length( con=con, path=path )
inv... | python | {
"resource": ""
} |
q225765 | atlasdb_queue_zonefiles | train | def atlasdb_queue_zonefiles( con, db, start_block, zonefile_dir, recover=False, validate=True, end_block=None ):
"""
Queue all zonefile hashes in the BlockstackDB
to the zonefile queue
NOT THREAD SAFE
Returns the list of zonefile infos queued, and whether or not they are present.
"""
# pop... | python | {
"resource": ""
} |
q225766 | atlasdb_sync_zonefiles | train | def atlasdb_sync_zonefiles( db, start_block, zonefile_dir, atlas_state, validate=True, end_block=None, path=None, con=None ):
"""
Synchronize atlas DB with name db
NOT THREAD SAFE
"""
ret = None
with AtlasDBOpen(con=con, path=path) as dbcon:
ret = atlasdb_queue_zonefiles( dbcon, db, sta... | python | {
"resource": ""
} |
q225767 | atlasdb_add_peer | train | def atlasdb_add_peer( peer_hostport, discovery_time=None, peer_table=None, con=None, path=None, ping_on_evict=True ):
"""
Add a peer to the peer table.
If the peer conflicts with another peer, ping it first, and only insert
the new peer if the old peer is dead.
Keep the in-RAM peer table cache-cohe... | python | {
"resource": ""
} |
q225768 | atlasdb_num_peers | train | def atlasdb_num_peers( con=None, path=None ):
"""
How many peers are there in the db?
"""
with AtlasDBOpen(con=con, path=path) as dbcon:
sql = "SELECT MAX(peer_index) FROM peers;"
args = ()
cur = dbcon.cursor()
res = atlasdb_query_execute( cur, sql, args )
ret ... | python | {
"resource": ""
} |
q225769 | atlas_get_peer | train | def atlas_get_peer( peer_hostport, peer_table=None ):
"""
Get the given peer's info
"""
ret = None
with AtlasPeerTableLocked(peer_table) as ptbl:
ret = ptbl.get(peer_hostport, None)
return ret | python | {
"resource": ""
} |
q225770 | atlasdb_get_random_peer | train | def atlasdb_get_random_peer( con=None, path=None ):
"""
Select a peer from the db at random
Return None if the table is empty
"""
ret = {}
with AtlasDBOpen(con=con, path=path) as dbcon:
num_peers = atlasdb_num_peers( con=con, path=path )
if num_peers is None or num_peers == 0:
... | python | {
"resource": ""
} |
q225771 | atlasdb_get_old_peers | train | def atlasdb_get_old_peers( now, con=None, path=None ):
"""
Get peers older than now - PEER_LIFETIME
"""
with AtlasDBOpen(con=con, path=path) as dbcon:
if now is None:
now = time.time()
expire = now - atlas_peer_max_age()
sql = "SELECT * FROM peers WHERE discovery_ti... | python | {
"resource": ""
} |
q225772 | atlasdb_renew_peer | train | def atlasdb_renew_peer( peer_hostport, now, con=None, path=None ):
"""
Renew a peer's discovery time
"""
with AtlasDBOpen(con=con, path=path) as dbcon:
if now is None:
now = time.time()
sql = "UPDATE peers SET discovery_time = ? WHERE peer_hostport = ?;"
args = (now,... | python | {
"resource": ""
} |
q225773 | atlasdb_load_peer_table | train | def atlasdb_load_peer_table( con=None, path=None ):
"""
Create a peer table from the peer DB
"""
peer_table = {}
with AtlasDBOpen(con=con, path=path) as dbcon:
sql = "SELECT * FROM peers;"
args = ()
cur = dbcon.cursor()
res = atlasdb_query_execute( cur, sql, ar... | python | {
"resource": ""
} |
q225774 | atlasdb_zonefile_inv_list | train | def atlasdb_zonefile_inv_list( bit_offset, bit_length, con=None, path=None ):
"""
Get an inventory listing.
offset and length are in bits.
Return the list of zonefile information.
The list may be less than length elements.
"""
with AtlasDBOpen(con=con, path=path) as dbcon:
sql = "S... | python | {
"resource": ""
} |
q225775 | atlas_init_peer_info | train | def atlas_init_peer_info( peer_table, peer_hostport, blacklisted=False, whitelisted=False ):
"""
Initialize peer info table entry
"""
peer_table[peer_hostport] = {
"time": [],
"zonefile_inv": "",
"blacklisted": blacklisted,
"whitelisted": whitelisted
} | python | {
"resource": ""
} |
q225776 | atlas_log_socket_error | train | def atlas_log_socket_error( method_invocation, peer_hostport, se ):
"""
Log a socket exception tastefully
"""
if isinstance( se, socket.timeout ):
log.debug("%s %s: timed out (socket.timeout)" % (method_invocation, peer_hostport))
elif isinstance( se, socket.gaierror ):
log.debug("%... | python | {
"resource": ""
} |
q225777 | atlas_peer_ping | train | def atlas_peer_ping( peer_hostport, timeout=None, peer_table=None ):
"""
Ping a host
Return True if alive
Return False if not
"""
if timeout is None:
timeout = atlas_ping_timeout()
assert not atlas_peer_table_is_locked_by_me()
host, port = url_to_host_port( peer_hostport )... | python | {
"resource": ""
} |
q225778 | atlas_inventory_count_missing | train | def atlas_inventory_count_missing( inv1, inv2 ):
"""
Find out how many bits are set in inv2
that are not set in inv1.
"""
count = 0
common = min(len(inv1), len(inv2))
for i in xrange(0, common):
for j in xrange(0, 8):
if ((1 << (7 - j)) & ord(inv2[i])) != 0 and ((1 << (7... | python | {
"resource": ""
} |
q225779 | atlas_revalidate_peers | train | def atlas_revalidate_peers( con=None, path=None, now=None, peer_table=None ):
"""
Revalidate peers that are older than the maximum peer age.
Ping them, and if they don't respond, remove them.
"""
global MIN_PEER_HEALTH
if now is None:
now = time_now()
old_peer_infos = atlasdb_get_o... | python | {
"resource": ""
} |
q225780 | atlas_peer_get_request_count | train | def atlas_peer_get_request_count( peer_hostport, peer_table=None ):
"""
How many times have we contacted this peer?
"""
with AtlasPeerTableLocked(peer_table) as ptbl:
if peer_hostport not in ptbl.keys():
return 0
count = 0
for (t, r) in ptbl[peer_hostport]['time']:
... | python | {
"resource": ""
} |
q225781 | atlas_peer_get_zonefile_inventory | train | def atlas_peer_get_zonefile_inventory( peer_hostport, peer_table=None ):
"""
What's the zonefile inventory vector for this peer?
Return None if not defined
"""
inv = None
with AtlasPeerTableLocked(peer_table) as ptbl:
if peer_hostport not in ptbl.keys():
return None
... | python | {
"resource": ""
} |
q225782 | atlas_peer_set_zonefile_inventory | train | def atlas_peer_set_zonefile_inventory( peer_hostport, peer_inv, peer_table=None ):
"""
Set this peer's zonefile inventory
"""
with AtlasPeerTableLocked(peer_table) as ptbl:
if peer_hostport not in ptbl.keys():
return None
ptbl[peer_hostport]['zonefile_inv'] = peer_inv
... | python | {
"resource": ""
} |
q225783 | atlas_peer_is_whitelisted | train | def atlas_peer_is_whitelisted( peer_hostport, peer_table=None ):
"""
Is a peer whitelisted
"""
ret = None
with AtlasPeerTableLocked(peer_table) as ptbl:
if peer_hostport not in ptbl.keys():
return None
ret = ptbl[peer_hostport].get("whitelisted", False)
return ret | python | {
"resource": ""
} |
q225784 | atlas_peer_update_health | train | def atlas_peer_update_health( peer_hostport, received_response, peer_table=None ):
"""
Mark the given peer as alive at this time.
Update times at which we contacted it,
and update its health score.
Use the global health table by default,
or use the given health info if set.
"""
with A... | python | {
"resource": ""
} |
q225785 | atlas_peer_download_zonefile_inventory | train | def atlas_peer_download_zonefile_inventory( my_hostport, peer_hostport, maxlen, bit_offset=0, timeout=None, peer_table={} ):
"""
Get the zonefile inventory from the remote peer
Start from the given bit_offset
NOTE: this doesn't update the peer table health by default;
you'll have to explicitly pass... | python | {
"resource": ""
} |
q225786 | atlas_peer_sync_zonefile_inventory | train | def atlas_peer_sync_zonefile_inventory( my_hostport, peer_hostport, maxlen, timeout=None, peer_table=None ):
"""
Synchronize our knowledge of a peer's zonefiles up to a given byte length
NOT THREAD SAFE; CALL FROM ONLY ONE THREAD.
maxlen is the maximum length in bits of the expected zonefile.
Retu... | python | {
"resource": ""
} |
q225787 | atlas_peer_refresh_zonefile_inventory | train | def atlas_peer_refresh_zonefile_inventory( my_hostport, peer_hostport, byte_offset, timeout=None, peer_table=None, con=None, path=None, local_inv=None ):
"""
Refresh a peer's zonefile recent inventory vector entries,
by removing every bit after byte_offset and re-synchronizing them.
The intuition here ... | python | {
"resource": ""
} |
q225788 | atlas_peer_has_fresh_zonefile_inventory | train | def atlas_peer_has_fresh_zonefile_inventory( peer_hostport, peer_table=None ):
"""
Does the given atlas node have a fresh zonefile inventory?
"""
fresh = False
with AtlasPeerTableLocked(peer_table) as ptbl:
if peer_hostport not in ptbl.keys():
return False
now = time_no... | python | {
"resource": ""
} |
q225789 | atlas_find_missing_zonefile_availability | train | def atlas_find_missing_zonefile_availability( peer_table=None, con=None, path=None, missing_zonefile_info=None ):
"""
Find the set of missing zonefiles, as well as their popularity amongst
our neighbors.
Only consider zonefiles that are known by at least
one peer; otherwise they're missing from
... | python | {
"resource": ""
} |
q225790 | atlas_peer_has_zonefile | train | def atlas_peer_has_zonefile( peer_hostport, zonefile_hash, zonefile_bits=None, con=None, path=None, peer_table=None ):
"""
Does the given peer have the given zonefile defined?
Check its inventory vector
Return True if present
Return False if not present
Return None if we don't know about the zo... | python | {
"resource": ""
} |
q225791 | atlas_peer_get_neighbors | train | def atlas_peer_get_neighbors( my_hostport, peer_hostport, timeout=None, peer_table=None, con=None, path=None ):
"""
Ask the peer server at the given URL for its neighbors.
Update the health info in peer_table
(if not given, the global peer table will be used instead)
Return the list on success
... | python | {
"resource": ""
} |
q225792 | atlas_get_zonefiles | train | def atlas_get_zonefiles( my_hostport, peer_hostport, zonefile_hashes, timeout=None, peer_table=None ):
"""
Given a list of zonefile hashes.
go and get them from the given host.
Update node health
Return the newly-fetched zonefiles on success (as a dict mapping hashes to zonefile data)
Return N... | python | {
"resource": ""
} |
q225793 | atlas_rank_peers_by_data_availability | train | def atlas_rank_peers_by_data_availability( peer_list=None, peer_table=None, local_inv=None, con=None, path=None ):
"""
Get a ranking of peers to contact for a zonefile.
Peers are ranked by the number of zonefiles they have
which we don't have.
This is used to select neighbors.
"""
with Atl... | python | {
"resource": ""
} |
q225794 | atlas_peer_dequeue_all | train | def atlas_peer_dequeue_all( peer_queue=None ):
"""
Get all queued peers
"""
peers = []
with AtlasPeerQueueLocked(peer_queue) as pq:
while len(pq) > 0:
peers.append( pq.pop(0) )
return peers | python | {
"resource": ""
} |
q225795 | atlas_zonefile_push_enqueue | train | def atlas_zonefile_push_enqueue( zonefile_hash, name, txid, zonefile_data, zonefile_queue=None, con=None, path=None ):
"""
Enqueue the given zonefile into our "push" queue,
from which it will be replicated to storage and sent
out to other peers who don't have it.
Return True if we enqueued it
R... | python | {
"resource": ""
} |
q225796 | atlas_zonefile_push_dequeue | train | def atlas_zonefile_push_dequeue( zonefile_queue=None ):
"""
Dequeue a zonefile's information to replicate
Return None if there are none queued
"""
ret = None
with AtlasZonefileQueueLocked(zonefile_queue) as zfq:
if len(zfq) > 0:
ret = zfq.pop(0)
return ret | python | {
"resource": ""
} |
q225797 | atlas_zonefile_push | train | def atlas_zonefile_push( my_hostport, peer_hostport, zonefile_data, timeout=None, peer_table=None ):
"""
Push the given zonefile to the given peer
Return True on success
Return False on failure
"""
if timeout is None:
timeout = atlas_push_zonefiles_timeout()
zonefile_hash = get_z... | python | {
"resource": ""
} |
q225798 | atlas_node_init | train | def atlas_node_init(my_hostname, my_portnum, atlasdb_path, zonefile_dir, working_dir):
"""
Start up the atlas node.
Return a bundle of atlas state
"""
atlas_state = {}
atlas_state['peer_crawler'] = AtlasPeerCrawler(my_hostname, my_portnum, atlasdb_path, working_dir)
atlas_state['health_check... | python | {
"resource": ""
} |
q225799 | atlas_node_start | train | def atlas_node_start(atlas_state):
"""
Start up atlas threads
"""
for component in atlas_state.keys():
log.debug("Starting Atlas component '%s'" % component)
atlas_state[component].start() | python | {
"resource": ""
} |
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