repo stringlengths 7 54 | path stringlengths 4 192 | url stringlengths 87 284 | code stringlengths 78 104k | code_tokens list | docstring stringlengths 1 46.9k | docstring_tokens list | language stringclasses 1
value | partition stringclasses 3
values |
|---|---|---|---|---|---|---|---|---|
DLR-RM/RAFCON | source/rafcon/gui/mygaphas/utils/gap_draw_helper.py | https://github.com/DLR-RM/RAFCON/blob/24942ef1a904531f49ab8830a1dbb604441be498/source/rafcon/gui/mygaphas/utils/gap_draw_helper.py#L416-L445 | def draw_label_path(context, width, height, arrow_height, distance_to_port, port_offset):
"""Draws the path for an upright label
:param context: The Cairo context
:param float width: Width of the label
:param float height: Height of the label
:param float distance_to_port: Distance to the port rela... | [
"def",
"draw_label_path",
"(",
"context",
",",
"width",
",",
"height",
",",
"arrow_height",
",",
"distance_to_port",
",",
"port_offset",
")",
":",
"c",
"=",
"context",
"# The current point is the port position",
"# Mover to outer border of state",
"c",
".",
"rel_move_to... | Draws the path for an upright label
:param context: The Cairo context
:param float width: Width of the label
:param float height: Height of the label
:param float distance_to_port: Distance to the port related to the label
:param float port_offset: Distance from the port center to its border
:p... | [
"Draws",
"the",
"path",
"for",
"an",
"upright",
"label"
] | python | train |
spyder-ide/spyder | spyder/plugins/projects/projecttypes/python.py | https://github.com/spyder-ide/spyder/blob/f76836ce1b924bcc4efd3f74f2960d26a4e528e0/spyder/plugins/projects/projecttypes/python.py#L51-L60 | def remove_from_pythonpath(self, path):
"""Remove path from project's PYTHONPATH
Return True if path was removed, False if it was not found"""
pathlist = self.get_pythonpath()
if path in pathlist:
pathlist.pop(pathlist.index(path))
self.set_pythonpath(pathli... | [
"def",
"remove_from_pythonpath",
"(",
"self",
",",
"path",
")",
":",
"pathlist",
"=",
"self",
".",
"get_pythonpath",
"(",
")",
"if",
"path",
"in",
"pathlist",
":",
"pathlist",
".",
"pop",
"(",
"pathlist",
".",
"index",
"(",
"path",
")",
")",
"self",
".... | Remove path from project's PYTHONPATH
Return True if path was removed, False if it was not found | [
"Remove",
"path",
"from",
"project",
"s",
"PYTHONPATH",
"Return",
"True",
"if",
"path",
"was",
"removed",
"False",
"if",
"it",
"was",
"not",
"found"
] | python | train |
OLC-LOC-Bioinformatics/GenomeQAML | genomeqaml/extract_features.py | https://github.com/OLC-LOC-Bioinformatics/GenomeQAML/blob/2953e574c185afab23075641da4ce5392bc003e9/genomeqaml/extract_features.py#L313-L334 | def find_l50(contig_lengths_dict, genome_length_dict):
"""
Calculate the L50 for each strain. L50 is defined as the number of contigs required to achieve the N50
:param contig_lengths_dict: dictionary of strain name: reverse-sorted list of all contig lengths
:param genome_length_dict: dictionary of stra... | [
"def",
"find_l50",
"(",
"contig_lengths_dict",
",",
"genome_length_dict",
")",
":",
"# Initialise the dictionary",
"l50_dict",
"=",
"dict",
"(",
")",
"for",
"file_name",
",",
"contig_lengths",
"in",
"contig_lengths_dict",
".",
"items",
"(",
")",
":",
"currentlength"... | Calculate the L50 for each strain. L50 is defined as the number of contigs required to achieve the N50
:param contig_lengths_dict: dictionary of strain name: reverse-sorted list of all contig lengths
:param genome_length_dict: dictionary of strain name: total genome length
:return: l50_dict: dictionary of s... | [
"Calculate",
"the",
"L50",
"for",
"each",
"strain",
".",
"L50",
"is",
"defined",
"as",
"the",
"number",
"of",
"contigs",
"required",
"to",
"achieve",
"the",
"N50",
":",
"param",
"contig_lengths_dict",
":",
"dictionary",
"of",
"strain",
"name",
":",
"reverse"... | python | train |
pixelogik/NearPy | nearpy/storage/storage_mongo.py | https://github.com/pixelogik/NearPy/blob/1b534b864d320d875508e95cd2b76b6d8c07a90b/nearpy/storage/storage_mongo.py#L182-L190 | def load_hash_configuration(self, hash_name):
"""
Loads and returns hash configuration
"""
conf = self.mongo_object.find_one(
{'hash_conf_name': hash_name + '_conf'}
)
return pickle.loads(conf['hash_configuration']) if conf is not None\
else None | [
"def",
"load_hash_configuration",
"(",
"self",
",",
"hash_name",
")",
":",
"conf",
"=",
"self",
".",
"mongo_object",
".",
"find_one",
"(",
"{",
"'hash_conf_name'",
":",
"hash_name",
"+",
"'_conf'",
"}",
")",
"return",
"pickle",
".",
"loads",
"(",
"conf",
"... | Loads and returns hash configuration | [
"Loads",
"and",
"returns",
"hash",
"configuration"
] | python | train |
igorcoding/asynctnt-queue | asynctnt_queue/queue.py | https://github.com/igorcoding/asynctnt-queue/blob/75719b2dd27e8314ae924aea6a7a85be8f48ecc5/asynctnt_queue/queue.py#L58-L72 | def tube(self, name):
"""
Returns tube by its name
:param name: Tube name
:returns: ``self.tube_cls`` instance
(by default :class:`asynctnt_queue.Tube`)
"""
if name in self._tubes:
return self._tubes[name]
assert name, 'Tu... | [
"def",
"tube",
"(",
"self",
",",
"name",
")",
":",
"if",
"name",
"in",
"self",
".",
"_tubes",
":",
"return",
"self",
".",
"_tubes",
"[",
"name",
"]",
"assert",
"name",
",",
"'Tube name must be specified'",
"t",
"=",
"self",
".",
"_tube_cls",
"(",
"self... | Returns tube by its name
:param name: Tube name
:returns: ``self.tube_cls`` instance
(by default :class:`asynctnt_queue.Tube`) | [
"Returns",
"tube",
"by",
"its",
"name"
] | python | train |
mlperf/training | object_detection/pytorch/maskrcnn_benchmark/modeling/rpn/inference.py | https://github.com/mlperf/training/blob/1c6ae725a81d15437a2b2df05cac0673fde5c3a4/object_detection/pytorch/maskrcnn_benchmark/modeling/rpn/inference.py#L123-L150 | def forward(self, anchors, objectness, box_regression, targets=None):
"""
Arguments:
anchors: list[list[BoxList]]
objectness: list[tensor]
box_regression: list[tensor]
Returns:
boxlists (list[BoxList]): the post-processed anchors, after
... | [
"def",
"forward",
"(",
"self",
",",
"anchors",
",",
"objectness",
",",
"box_regression",
",",
"targets",
"=",
"None",
")",
":",
"sampled_boxes",
"=",
"[",
"]",
"num_levels",
"=",
"len",
"(",
"objectness",
")",
"anchors",
"=",
"list",
"(",
"zip",
"(",
"... | Arguments:
anchors: list[list[BoxList]]
objectness: list[tensor]
box_regression: list[tensor]
Returns:
boxlists (list[BoxList]): the post-processed anchors, after
applying box decoding and NMS | [
"Arguments",
":",
"anchors",
":",
"list",
"[",
"list",
"[",
"BoxList",
"]]",
"objectness",
":",
"list",
"[",
"tensor",
"]",
"box_regression",
":",
"list",
"[",
"tensor",
"]"
] | python | train |
VisTrails/tej | tej/submission.py | https://github.com/VisTrails/tej/blob/b8dedaeb6bdeb650b46cfe6d85e5aa9284fc7f0b/tej/submission.py#L52-L62 | def escape_queue(s):
"""Escapes the path to a queue, e.g. preserves ~ at the begining.
"""
if isinstance(s, PosixPath):
s = unicode_(s)
elif isinstance(s, bytes):
s = s.decode('utf-8')
if s.startswith('~/'):
return '~/' + shell_escape(s[2:])
else:
return shell_esc... | [
"def",
"escape_queue",
"(",
"s",
")",
":",
"if",
"isinstance",
"(",
"s",
",",
"PosixPath",
")",
":",
"s",
"=",
"unicode_",
"(",
"s",
")",
"elif",
"isinstance",
"(",
"s",
",",
"bytes",
")",
":",
"s",
"=",
"s",
".",
"decode",
"(",
"'utf-8'",
")",
... | Escapes the path to a queue, e.g. preserves ~ at the begining. | [
"Escapes",
"the",
"path",
"to",
"a",
"queue",
"e",
".",
"g",
".",
"preserves",
"~",
"at",
"the",
"begining",
"."
] | python | train |
xflr6/graphviz | graphviz/backend.py | https://github.com/xflr6/graphviz/blob/7376095ef1e47abad7e0b0361b6c9720b706e7a0/graphviz/backend.py#L164-L184 | def render(engine, format, filepath, renderer=None, formatter=None, quiet=False):
"""Render file with Graphviz ``engine`` into ``format``, return result filename.
Args:
engine: The layout commmand used for rendering (``'dot'``, ``'neato'``, ...).
format: The output format used for rendering (`... | [
"def",
"render",
"(",
"engine",
",",
"format",
",",
"filepath",
",",
"renderer",
"=",
"None",
",",
"formatter",
"=",
"None",
",",
"quiet",
"=",
"False",
")",
":",
"cmd",
",",
"rendered",
"=",
"command",
"(",
"engine",
",",
"format",
",",
"filepath",
... | Render file with Graphviz ``engine`` into ``format``, return result filename.
Args:
engine: The layout commmand used for rendering (``'dot'``, ``'neato'``, ...).
format: The output format used for rendering (``'pdf'``, ``'png'``, ...).
filepath: Path to the DOT source file to render.
... | [
"Render",
"file",
"with",
"Graphviz",
"engine",
"into",
"format",
"return",
"result",
"filename",
"."
] | python | train |
sony/nnabla | python/src/nnabla/experimental/graph_converters/fixed_point_weight.py | https://github.com/sony/nnabla/blob/aaf3d33b7cbb38f2a03aa754178ba8f7c8481320/python/src/nnabla/experimental/graph_converters/fixed_point_weight.py#L44-L69 | def convert(self, vroot, entry_variables):
"""
All functions are replaced with the same `new` function.
Args:
vroot (:obj:`Variable`): NNabla Variable
entry_variables (:obj:`Variable`): Entry variable from which the conversion starts.
"""
self.graph_info ... | [
"def",
"convert",
"(",
"self",
",",
"vroot",
",",
"entry_variables",
")",
":",
"self",
".",
"graph_info",
"=",
"GraphInfo",
"(",
"vroot",
")",
"self",
".",
"entry_variables",
"=",
"entry_variables",
"with",
"nn",
".",
"parameter_scope",
"(",
"self",
".",
"... | All functions are replaced with the same `new` function.
Args:
vroot (:obj:`Variable`): NNabla Variable
entry_variables (:obj:`Variable`): Entry variable from which the conversion starts. | [
"All",
"functions",
"are",
"replaced",
"with",
"the",
"same",
"new",
"function",
"."
] | python | train |
ScottDuckworth/python-anyvcs | anyvcs/svn.py | https://github.com/ScottDuckworth/python-anyvcs/blob/9eb09defbc6b7c99d373fad53cbf8fc81b637923/anyvcs/svn.py#L778-L811 | def load(
self, stream, progress=None, ignore_uuid=False, force_uuid=False,
use_pre_commit_hook=False, use_post_commit_hook=False, parent_dir=None
):
"""Load a dumpfile stream into the repository.
:param stream: A file stream from which the dumpfile is read
:param progress: ... | [
"def",
"load",
"(",
"self",
",",
"stream",
",",
"progress",
"=",
"None",
",",
"ignore_uuid",
"=",
"False",
",",
"force_uuid",
"=",
"False",
",",
"use_pre_commit_hook",
"=",
"False",
",",
"use_post_commit_hook",
"=",
"False",
",",
"parent_dir",
"=",
"None",
... | Load a dumpfile stream into the repository.
:param stream: A file stream from which the dumpfile is read
:param progress: A file stream to which progress is written
See ``svnadmin help load`` for details on the other arguments. | [
"Load",
"a",
"dumpfile",
"stream",
"into",
"the",
"repository",
"."
] | python | train |
DLR-RM/RAFCON | source/rafcon/core/states/state.py | https://github.com/DLR-RM/RAFCON/blob/24942ef1a904531f49ab8830a1dbb604441be498/source/rafcon/core/states/state.py#L407-L420 | def remove_input_data_port(self, data_port_id, force=False, destroy=True):
"""Remove an input data port from the state
:param int data_port_id: the id or the output data port to remove
:param bool force: if the removal should be forced without checking constraints
:raises exceptions.Att... | [
"def",
"remove_input_data_port",
"(",
"self",
",",
"data_port_id",
",",
"force",
"=",
"False",
",",
"destroy",
"=",
"True",
")",
":",
"if",
"data_port_id",
"in",
"self",
".",
"_input_data_ports",
":",
"if",
"destroy",
":",
"self",
".",
"remove_data_flows_with_... | Remove an input data port from the state
:param int data_port_id: the id or the output data port to remove
:param bool force: if the removal should be forced without checking constraints
:raises exceptions.AttributeError: if the specified input data port does not exist | [
"Remove",
"an",
"input",
"data",
"port",
"from",
"the",
"state"
] | python | train |
cggh/scikit-allel | allel/io/vcf_read.py | https://github.com/cggh/scikit-allel/blob/3c979a57a100240ba959dd13f98839349530f215/allel/io/vcf_read.py#L74-L100 | def _chunk_iter_progress(it, log, prefix):
"""Wrap a chunk iterator for progress logging."""
n_variants = 0
before_all = time.time()
before_chunk = before_all
for chunk, chunk_length, chrom, pos in it:
after_chunk = time.time()
elapsed_chunk = after_chunk - before_chunk
elaps... | [
"def",
"_chunk_iter_progress",
"(",
"it",
",",
"log",
",",
"prefix",
")",
":",
"n_variants",
"=",
"0",
"before_all",
"=",
"time",
".",
"time",
"(",
")",
"before_chunk",
"=",
"before_all",
"for",
"chunk",
",",
"chunk_length",
",",
"chrom",
",",
"pos",
"in... | Wrap a chunk iterator for progress logging. | [
"Wrap",
"a",
"chunk",
"iterator",
"for",
"progress",
"logging",
"."
] | python | train |
materialsproject/pymatgen | pymatgen/apps/borg/queen.py | https://github.com/materialsproject/pymatgen/blob/4ca558cf72f8d5f8a1f21dfdfc0181a971c186da/pymatgen/apps/borg/queen.py#L64-L83 | def parallel_assimilate(self, rootpath):
"""
Assimilate the entire subdirectory structure in rootpath.
"""
logger.info('Scanning for valid paths...')
valid_paths = []
for (parent, subdirs, files) in os.walk(rootpath):
valid_paths.extend(self._drone.get_valid_p... | [
"def",
"parallel_assimilate",
"(",
"self",
",",
"rootpath",
")",
":",
"logger",
".",
"info",
"(",
"'Scanning for valid paths...'",
")",
"valid_paths",
"=",
"[",
"]",
"for",
"(",
"parent",
",",
"subdirs",
",",
"files",
")",
"in",
"os",
".",
"walk",
"(",
"... | Assimilate the entire subdirectory structure in rootpath. | [
"Assimilate",
"the",
"entire",
"subdirectory",
"structure",
"in",
"rootpath",
"."
] | python | train |
deployed/django-emailtemplates | emailtemplates/email.py | https://github.com/deployed/django-emailtemplates/blob/0e95139989dbcf7e624153ddcd7b5b66b48eb6eb/emailtemplates/email.py#L150-L164 | def send(self, to, attachment_paths=None, *args, **kwargs):
"""This function does all the operations on eft object, that are necessary to send email.
Usually one would use eft object like this:
eft = EmailFromTemplate(name='sth/sth.html')
eft.get_object()
... | [
"def",
"send",
"(",
"self",
",",
"to",
",",
"attachment_paths",
"=",
"None",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"self",
".",
"get_object",
"(",
")",
"self",
".",
"render_message",
"(",
")",
"self",
".",
"send_email",
"(",
"to",
",... | This function does all the operations on eft object, that are necessary to send email.
Usually one would use eft object like this:
eft = EmailFromTemplate(name='sth/sth.html')
eft.get_object()
eft.render_message()
eft.send_email(['email@example.... | [
"This",
"function",
"does",
"all",
"the",
"operations",
"on",
"eft",
"object",
"that",
"are",
"necessary",
"to",
"send",
"email",
".",
"Usually",
"one",
"would",
"use",
"eft",
"object",
"like",
"this",
":",
"eft",
"=",
"EmailFromTemplate",
"(",
"name",
"="... | python | train |
cloud9ers/gurumate | environment/lib/python2.7/site-packages/IPython/core/completer.py | https://github.com/cloud9ers/gurumate/blob/075dc74d1ee62a8c6b7a8bf2b271364f01629d1e/environment/lib/python2.7/site-packages/IPython/core/completer.py#L626-L640 | def alias_matches(self, text):
"""Match internal system aliases"""
#print 'Completer->alias_matches:',text,'lb',self.text_until_cursor # dbg
# if we are not in the first 'item', alias matching
# doesn't make sense - unless we are starting with 'sudo' command.
main_text = self.te... | [
"def",
"alias_matches",
"(",
"self",
",",
"text",
")",
":",
"#print 'Completer->alias_matches:',text,'lb',self.text_until_cursor # dbg",
"# if we are not in the first 'item', alias matching",
"# doesn't make sense - unless we are starting with 'sudo' command.",
"main_text",
"=",
"self",
... | Match internal system aliases | [
"Match",
"internal",
"system",
"aliases"
] | python | test |
tornadoweb/tornado | tornado/iostream.py | https://github.com/tornadoweb/tornado/blob/b8b481770bcdb333a69afde5cce7eaa449128326/tornado/iostream.py#L1148-L1219 | def connect(
self: _IOStreamType, address: tuple, server_hostname: str = None
) -> "Future[_IOStreamType]":
"""Connects the socket to a remote address without blocking.
May only be called if the socket passed to the constructor was
not previously connected. The address parameter is... | [
"def",
"connect",
"(",
"self",
":",
"_IOStreamType",
",",
"address",
":",
"tuple",
",",
"server_hostname",
":",
"str",
"=",
"None",
")",
"->",
"\"Future[_IOStreamType]\"",
":",
"self",
".",
"_connecting",
"=",
"True",
"future",
"=",
"Future",
"(",
")",
"# ... | Connects the socket to a remote address without blocking.
May only be called if the socket passed to the constructor was
not previously connected. The address parameter is in the
same format as for `socket.connect <socket.socket.connect>` for
the type of socket passed to the IOStream c... | [
"Connects",
"the",
"socket",
"to",
"a",
"remote",
"address",
"without",
"blocking",
"."
] | python | train |
gwastro/pycbc | pycbc/io/record.py | https://github.com/gwastro/pycbc/blob/7a64cdd104d263f1b6ea0b01e6841837d05a4cb3/pycbc/io/record.py#L1828-L1831 | def spin_sy(self):
"""Returns the y-component of the spin of the secondary mass."""
return conversions.secondary_spin(self.mass1, self.mass2, self.spin1y,
self.spin2y) | [
"def",
"spin_sy",
"(",
"self",
")",
":",
"return",
"conversions",
".",
"secondary_spin",
"(",
"self",
".",
"mass1",
",",
"self",
".",
"mass2",
",",
"self",
".",
"spin1y",
",",
"self",
".",
"spin2y",
")"
] | Returns the y-component of the spin of the secondary mass. | [
"Returns",
"the",
"y",
"-",
"component",
"of",
"the",
"spin",
"of",
"the",
"secondary",
"mass",
"."
] | python | train |
gawel/aiocron | aiocron/__init__.py | https://github.com/gawel/aiocron/blob/949870b2f7fe1e10e4220f3243c9d4237255d203/aiocron/__init__.py#L63-L69 | def initialize(self):
"""Initialize croniter and related times"""
if self.croniter is None:
self.time = time.time()
self.datetime = datetime.now(self.tz)
self.loop_time = self.loop.time()
self.croniter = croniter(self.spec, start_time=self.datetime) | [
"def",
"initialize",
"(",
"self",
")",
":",
"if",
"self",
".",
"croniter",
"is",
"None",
":",
"self",
".",
"time",
"=",
"time",
".",
"time",
"(",
")",
"self",
".",
"datetime",
"=",
"datetime",
".",
"now",
"(",
"self",
".",
"tz",
")",
"self",
".",... | Initialize croniter and related times | [
"Initialize",
"croniter",
"and",
"related",
"times"
] | python | train |
manahl/arctic | arctic/chunkstore/chunkstore.py | https://github.com/manahl/arctic/blob/57e110b6e182dbab00e7e214dc26f7d9ec47c120/arctic/chunkstore/chunkstore.py#L614-L630 | def write_metadata(self, symbol, metadata):
'''
writes user defined metadata for the given symbol
Parameters
----------
symbol: str
symbol for the given item in the DB
metadata: ?
metadata to write
'''
sym = self._get_symbol_info(s... | [
"def",
"write_metadata",
"(",
"self",
",",
"symbol",
",",
"metadata",
")",
":",
"sym",
"=",
"self",
".",
"_get_symbol_info",
"(",
"symbol",
")",
"if",
"not",
"sym",
":",
"raise",
"NoDataFoundException",
"(",
"\"Symbol does not exist.\"",
")",
"sym",
"[",
"US... | writes user defined metadata for the given symbol
Parameters
----------
symbol: str
symbol for the given item in the DB
metadata: ?
metadata to write | [
"writes",
"user",
"defined",
"metadata",
"for",
"the",
"given",
"symbol"
] | python | train |
jeremylow/pyshk | pyshk/api.py | https://github.com/jeremylow/pyshk/blob/3ab92f6706397cde7a18367266eba9e0f1ada868/pyshk/api.py#L384-L402 | def save_shared_file(self, sharekey=None):
"""
Save a SharedFile to your Shake.
Args:
sharekey (str): Sharekey for the file to save.
Returns:
SharedFile saved to your shake.
"""
endpoint = '/api/sharedfile/{sharekey}/save'.format(sharekey=shareke... | [
"def",
"save_shared_file",
"(",
"self",
",",
"sharekey",
"=",
"None",
")",
":",
"endpoint",
"=",
"'/api/sharedfile/{sharekey}/save'",
".",
"format",
"(",
"sharekey",
"=",
"sharekey",
")",
"data",
"=",
"self",
".",
"_make_request",
"(",
"\"POST\"",
",",
"endpoi... | Save a SharedFile to your Shake.
Args:
sharekey (str): Sharekey for the file to save.
Returns:
SharedFile saved to your shake. | [
"Save",
"a",
"SharedFile",
"to",
"your",
"Shake",
"."
] | python | train |
danielholmstrom/dictalchemy | dictalchemy/utils.py | https://github.com/danielholmstrom/dictalchemy/blob/038b8822b0ed66feef78a80b3af8f3a09f795b5a/dictalchemy/utils.py#L44-L183 | def asdict(model, exclude=None, exclude_underscore=None, exclude_pk=None,
follow=None, include=None, only=None, method='asdict', **kwargs):
"""Get a dict from a model
Using the `method` parameter makes it possible to have multiple methods
that formats the result.
Additional keyword argument... | [
"def",
"asdict",
"(",
"model",
",",
"exclude",
"=",
"None",
",",
"exclude_underscore",
"=",
"None",
",",
"exclude_pk",
"=",
"None",
",",
"follow",
"=",
"None",
",",
"include",
"=",
"None",
",",
"only",
"=",
"None",
",",
"method",
"=",
"'asdict'",
",",
... | Get a dict from a model
Using the `method` parameter makes it possible to have multiple methods
that formats the result.
Additional keyword arguments will be passed to all relationships that are
followed. This can be used to pass on things like request or context.
:param follow: List or dict of r... | [
"Get",
"a",
"dict",
"from",
"a",
"model"
] | python | train |
saltstack/salt | salt/modules/chocolatey.py | https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/modules/chocolatey.py#L51-L57 | def _clear_context(context):
'''
Clear variables stored in __context__. Run this function when a new version
of chocolatey is installed.
'''
for var in (x for x in __context__ if x.startswith('chocolatey.')):
context.pop(var) | [
"def",
"_clear_context",
"(",
"context",
")",
":",
"for",
"var",
"in",
"(",
"x",
"for",
"x",
"in",
"__context__",
"if",
"x",
".",
"startswith",
"(",
"'chocolatey.'",
")",
")",
":",
"context",
".",
"pop",
"(",
"var",
")"
] | Clear variables stored in __context__. Run this function when a new version
of chocolatey is installed. | [
"Clear",
"variables",
"stored",
"in",
"__context__",
".",
"Run",
"this",
"function",
"when",
"a",
"new",
"version",
"of",
"chocolatey",
"is",
"installed",
"."
] | python | train |
alex-kostirin/pyatomac | atomac/ldtpd/table.py | https://github.com/alex-kostirin/pyatomac/blob/3f46f6feb4504315eec07abb18bb41be4d257aeb/atomac/ldtpd/table.py#L250-L275 | def selectlastrow(self, window_name, object_name):
"""
Select last row
@param window_name: Window name to type in, either full name,
LDTP's name convention, or a Unix glob.
@type window_name: string
@param object_name: Object name to type in, either full name,
LD... | [
"def",
"selectlastrow",
"(",
"self",
",",
"window_name",
",",
"object_name",
")",
":",
"object_handle",
"=",
"self",
".",
"_get_object_handle",
"(",
"window_name",
",",
"object_name",
")",
"if",
"not",
"object_handle",
".",
"AXEnabled",
":",
"raise",
"LdtpServer... | Select last row
@param window_name: Window name to type in, either full name,
LDTP's name convention, or a Unix glob.
@type window_name: string
@param object_name: Object name to type in, either full name,
LDTP's name convention, or a Unix glob.
@type object_name: strin... | [
"Select",
"last",
"row"
] | python | valid |
jwodder/javaproperties | javaproperties/xmlprops.py | https://github.com/jwodder/javaproperties/blob/8b48f040305217ebeb80c98c4354691bbb01429b/javaproperties/xmlprops.py#L43-L77 | def loads_xml(s, object_pairs_hook=dict):
r"""
Parse the contents of the string ``s`` as an XML properties document and
return a `dict` of the key-value pairs.
Beyond basic XML well-formedness, `loads_xml` only checks that the root
element is named "``properties``" and that all of its ``<entry>`` c... | [
"def",
"loads_xml",
"(",
"s",
",",
"object_pairs_hook",
"=",
"dict",
")",
":",
"elem",
"=",
"ET",
".",
"fromstring",
"(",
"s",
")",
"return",
"object_pairs_hook",
"(",
"_fromXML",
"(",
"elem",
")",
")"
] | r"""
Parse the contents of the string ``s`` as an XML properties document and
return a `dict` of the key-value pairs.
Beyond basic XML well-formedness, `loads_xml` only checks that the root
element is named "``properties``" and that all of its ``<entry>`` children
have ``key`` attributes. No furth... | [
"r",
"Parse",
"the",
"contents",
"of",
"the",
"string",
"s",
"as",
"an",
"XML",
"properties",
"document",
"and",
"return",
"a",
"dict",
"of",
"the",
"key",
"-",
"value",
"pairs",
"."
] | python | train |
jupyterhub/kubespawner | kubespawner/spawner.py | https://github.com/jupyterhub/kubespawner/blob/46a4b109c5e657a4c3d5bfa8ea4731ec6564ea13/kubespawner/spawner.py#L1303-L1376 | def get_pod_manifest(self):
"""
Make a pod manifest that will spawn current user's notebook pod.
"""
if callable(self.uid):
uid = yield gen.maybe_future(self.uid(self))
else:
uid = self.uid
if callable(self.gid):
gid = yield gen.maybe_... | [
"def",
"get_pod_manifest",
"(",
"self",
")",
":",
"if",
"callable",
"(",
"self",
".",
"uid",
")",
":",
"uid",
"=",
"yield",
"gen",
".",
"maybe_future",
"(",
"self",
".",
"uid",
"(",
"self",
")",
")",
"else",
":",
"uid",
"=",
"self",
".",
"uid",
"... | Make a pod manifest that will spawn current user's notebook pod. | [
"Make",
"a",
"pod",
"manifest",
"that",
"will",
"spawn",
"current",
"user",
"s",
"notebook",
"pod",
"."
] | python | train |
haifengat/hf_ctp_py_proxy | py_ctp/quote.py | https://github.com/haifengat/hf_ctp_py_proxy/blob/c2dc6dbde45aa6b097f75380474e91510d3f5d12/py_ctp/quote.py#L62-L69 | def ReqUserLogout(self):
"""退出接口(正常退出,不会触发OnFrontDisconnected)"""
self.q.Release()
# 确保隔夜或重新登录时的第1个tick不被发送到客户端
self.inst_tick.clear()
self.logined = False
threading.Thread(target=self.OnDisConnected, args=(self, 0)).start() | [
"def",
"ReqUserLogout",
"(",
"self",
")",
":",
"self",
".",
"q",
".",
"Release",
"(",
")",
"# 确保隔夜或重新登录时的第1个tick不被发送到客户端",
"self",
".",
"inst_tick",
".",
"clear",
"(",
")",
"self",
".",
"logined",
"=",
"False",
"threading",
".",
"Thread",
"(",
"target",
... | 退出接口(正常退出,不会触发OnFrontDisconnected) | [
"退出接口",
"(",
"正常退出",
"不会触发OnFrontDisconnected",
")"
] | python | train |
pudo/googlesheets | googlesheets/sheet.py | https://github.com/pudo/googlesheets/blob/c38725d79bfe048c0519a674019ba313dfc5bfb0/googlesheets/sheet.py#L75-L81 | def insert(self, row):
""" Insert a new row. The row will be added to the end of the
spreadsheet. Before inserting, the field names in the given
row will be normalized and values with empty field names
removed. """
data = self._convert_value(row)
self._service.InsertRow... | [
"def",
"insert",
"(",
"self",
",",
"row",
")",
":",
"data",
"=",
"self",
".",
"_convert_value",
"(",
"row",
")",
"self",
".",
"_service",
".",
"InsertRow",
"(",
"data",
",",
"self",
".",
"_ss",
".",
"id",
",",
"self",
".",
"id",
")"
] | Insert a new row. The row will be added to the end of the
spreadsheet. Before inserting, the field names in the given
row will be normalized and values with empty field names
removed. | [
"Insert",
"a",
"new",
"row",
".",
"The",
"row",
"will",
"be",
"added",
"to",
"the",
"end",
"of",
"the",
"spreadsheet",
".",
"Before",
"inserting",
"the",
"field",
"names",
"in",
"the",
"given",
"row",
"will",
"be",
"normalized",
"and",
"values",
"with",
... | python | train |
thanethomson/statik | setup.py | https://github.com/thanethomson/statik/blob/56b1b5a2cb05a97afa81f428bfcefc833e935b8d/setup.py#L22-L49 | def read_requirements(filename):
"""
Parse a requirements file.
Accepts vcs+ links, and places the URL into
`DEPENDENCY_LINKS`.
:return: list of str for each package
"""
data = []
for line in read_file(filename):
line = line.strip()
if not line or line.startswith('#'):
... | [
"def",
"read_requirements",
"(",
"filename",
")",
":",
"data",
"=",
"[",
"]",
"for",
"line",
"in",
"read_file",
"(",
"filename",
")",
":",
"line",
"=",
"line",
".",
"strip",
"(",
")",
"if",
"not",
"line",
"or",
"line",
".",
"startswith",
"(",
"'#'",
... | Parse a requirements file.
Accepts vcs+ links, and places the URL into
`DEPENDENCY_LINKS`.
:return: list of str for each package | [
"Parse",
"a",
"requirements",
"file",
"."
] | python | train |
brocade/pynos | pynos/versions/ver_6/ver_6_0_1/yang/brocade_threshold_monitor.py | https://github.com/brocade/pynos/blob/bd8a34e98f322de3fc06750827d8bbc3a0c00380/pynos/versions/ver_6/ver_6_0_1/yang/brocade_threshold_monitor.py#L539-L550 | def threshold_monitor_hidden_threshold_monitor_Memory_actions(self, **kwargs):
"""Auto Generated Code
"""
config = ET.Element("config")
threshold_monitor_hidden = ET.SubElement(config, "threshold-monitor-hidden", xmlns="urn:brocade.com:mgmt:brocade-threshold-monitor")
threshold_m... | [
"def",
"threshold_monitor_hidden_threshold_monitor_Memory_actions",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"config",
"=",
"ET",
".",
"Element",
"(",
"\"config\"",
")",
"threshold_monitor_hidden",
"=",
"ET",
".",
"SubElement",
"(",
"config",
",",
"\"thresh... | Auto Generated Code | [
"Auto",
"Generated",
"Code"
] | python | train |
brocade/pynos | pynos/versions/base/yang/brocade_fcoe.py | https://github.com/brocade/pynos/blob/bd8a34e98f322de3fc06750827d8bbc3a0c00380/pynos/versions/base/yang/brocade_fcoe.py#L161-L171 | def fcoe_fcoe_fcf_map_fcf_map_name(self, **kwargs):
"""Auto Generated Code
"""
config = ET.Element("config")
fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe")
fcoe_fcf_map = ET.SubElement(fcoe, "fcoe-fcf-map")
fcf_map_name = ET.SubElement(fco... | [
"def",
"fcoe_fcoe_fcf_map_fcf_map_name",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"config",
"=",
"ET",
".",
"Element",
"(",
"\"config\"",
")",
"fcoe",
"=",
"ET",
".",
"SubElement",
"(",
"config",
",",
"\"fcoe\"",
",",
"xmlns",
"=",
"\"urn:brocade.co... | Auto Generated Code | [
"Auto",
"Generated",
"Code"
] | python | train |
pyviz/param | param/version.py | https://github.com/pyviz/param/blob/8f0dafa78defa883247b40635f96cc6d5c1b3481/param/version.py#L743-L764 | def verify(self, string_version=None):
"""
Check that the version information is consistent with the VCS
before doing a release. If supplied with a string version,
this is also checked against the current version. Should be
called from setup.py with the declared package version b... | [
"def",
"verify",
"(",
"self",
",",
"string_version",
"=",
"None",
")",
":",
"if",
"string_version",
"and",
"string_version",
"!=",
"str",
"(",
"self",
")",
":",
"raise",
"Exception",
"(",
"\"Supplied string version does not match current version.\"",
")",
"if",
"s... | Check that the version information is consistent with the VCS
before doing a release. If supplied with a string version,
this is also checked against the current version. Should be
called from setup.py with the declared package version before
releasing to PyPI. | [
"Check",
"that",
"the",
"version",
"information",
"is",
"consistent",
"with",
"the",
"VCS",
"before",
"doing",
"a",
"release",
".",
"If",
"supplied",
"with",
"a",
"string",
"version",
"this",
"is",
"also",
"checked",
"against",
"the",
"current",
"version",
"... | python | train |
pypa/pipenv | pipenv/vendor/distlib/_backport/tarfile.py | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/vendor/distlib/_backport/tarfile.py#L2414-L2458 | def next(self):
"""Return the next member of the archive as a TarInfo object, when
TarFile is opened for reading. Return None if there is no more
available.
"""
self._check("ra")
if self.firstmember is not None:
m = self.firstmember
self.firs... | [
"def",
"next",
"(",
"self",
")",
":",
"self",
".",
"_check",
"(",
"\"ra\"",
")",
"if",
"self",
".",
"firstmember",
"is",
"not",
"None",
":",
"m",
"=",
"self",
".",
"firstmember",
"self",
".",
"firstmember",
"=",
"None",
"return",
"m",
"# Read the next ... | Return the next member of the archive as a TarInfo object, when
TarFile is opened for reading. Return None if there is no more
available. | [
"Return",
"the",
"next",
"member",
"of",
"the",
"archive",
"as",
"a",
"TarInfo",
"object",
"when",
"TarFile",
"is",
"opened",
"for",
"reading",
".",
"Return",
"None",
"if",
"there",
"is",
"no",
"more",
"available",
"."
] | python | train |
clach04/python-tuya | pytuya/__init__.py | https://github.com/clach04/python-tuya/blob/7b89d38c56f6e25700e2a333000d25bc8d923622/pytuya/__init__.py#L316-L336 | def set_timer(self, num_secs):
"""
Set a timer.
Args:
num_secs(int): Number of seconds
"""
# FIXME / TODO support schemas? Accept timer id number as parameter?
# Dumb heuristic; Query status, pick last device id as that is probably the timer
... | [
"def",
"set_timer",
"(",
"self",
",",
"num_secs",
")",
":",
"# FIXME / TODO support schemas? Accept timer id number as parameter?",
"# Dumb heuristic; Query status, pick last device id as that is probably the timer",
"status",
"=",
"self",
".",
"status",
"(",
")",
"devices",
"=",... | Set a timer.
Args:
num_secs(int): Number of seconds | [
"Set",
"a",
"timer",
".",
"Args",
":",
"num_secs",
"(",
"int",
")",
":",
"Number",
"of",
"seconds"
] | python | train |
ic-labs/django-icekit | icekit_events/forms.py | https://github.com/ic-labs/django-icekit/blob/c507ea5b1864303732c53ad7c5800571fca5fa94/icekit_events/forms.py#L99-L125 | def render(self, name, value, attrs=None):
"""
Render the ``icekit_events/recurrence_rule_widget/render.html``
template with the following context:
rendered_widgets
The rendered widgets.
id
The ``id`` attribute from the ``attrs`` keyword a... | [
"def",
"render",
"(",
"self",
",",
"name",
",",
"value",
",",
"attrs",
"=",
"None",
")",
":",
"rendered_widgets",
"=",
"super",
"(",
"RecurrenceRuleWidget",
",",
"self",
")",
".",
"render",
"(",
"name",
",",
"value",
",",
"attrs",
")",
"template",
"=",... | Render the ``icekit_events/recurrence_rule_widget/render.html``
template with the following context:
rendered_widgets
The rendered widgets.
id
The ``id`` attribute from the ``attrs`` keyword argument.
recurrence_rules
A JSON ob... | [
"Render",
"the",
"icekit_events",
"/",
"recurrence_rule_widget",
"/",
"render",
".",
"html",
"template",
"with",
"the",
"following",
"context",
":"
] | python | train |
tomduck/pandoc-fignos | pandoc_fignos.py | https://github.com/tomduck/pandoc-fignos/blob/44776d885b8101d9d6aeb6845b17ad1625e88e6f/pandoc_fignos.py#L121-L201 | def _process_figure(value, fmt):
"""Processes the figure. Returns a dict containing figure properties."""
# pylint: disable=global-statement
global Nreferences # Global references counter
global has_unnumbered_figures # Flags unnumbered figures were found
global cursec ... | [
"def",
"_process_figure",
"(",
"value",
",",
"fmt",
")",
":",
"# pylint: disable=global-statement",
"global",
"Nreferences",
"# Global references counter",
"global",
"has_unnumbered_figures",
"# Flags unnumbered figures were found",
"global",
"cursec",
"# Current section",
"# Par... | Processes the figure. Returns a dict containing figure properties. | [
"Processes",
"the",
"figure",
".",
"Returns",
"a",
"dict",
"containing",
"figure",
"properties",
"."
] | python | train |
pytorch/text | torchtext/utils.py | https://github.com/pytorch/text/blob/26bfce6869dc704f1d86792f9a681d453d7e7bb8/torchtext/utils.py#L60-L72 | def unicode_csv_reader(unicode_csv_data, **kwargs):
"""Since the standard csv library does not handle unicode in Python 2, we need a wrapper.
Borrowed and slightly modified from the Python docs:
https://docs.python.org/2/library/csv.html#csv-examples"""
if six.PY2:
# csv.py doesn't do Unicode; e... | [
"def",
"unicode_csv_reader",
"(",
"unicode_csv_data",
",",
"*",
"*",
"kwargs",
")",
":",
"if",
"six",
".",
"PY2",
":",
"# csv.py doesn't do Unicode; encode temporarily as UTF-8:",
"csv_reader",
"=",
"csv",
".",
"reader",
"(",
"utf_8_encoder",
"(",
"unicode_csv_data",
... | Since the standard csv library does not handle unicode in Python 2, we need a wrapper.
Borrowed and slightly modified from the Python docs:
https://docs.python.org/2/library/csv.html#csv-examples | [
"Since",
"the",
"standard",
"csv",
"library",
"does",
"not",
"handle",
"unicode",
"in",
"Python",
"2",
"we",
"need",
"a",
"wrapper",
".",
"Borrowed",
"and",
"slightly",
"modified",
"from",
"the",
"Python",
"docs",
":",
"https",
":",
"//",
"docs",
".",
"p... | python | train |
ozgurgunes/django-manifest | manifest/accounts/utils.py | https://github.com/ozgurgunes/django-manifest/blob/9873bbf2a475b76284ad7e36b2b26c92131e72dd/manifest/accounts/utils.py#L54-L77 | def login_redirect(redirect=None, user=None):
"""
Redirect user after successful sign in.
First looks for a ``requested_redirect``. If not supplied will fall-back
to the user specific account page. If all fails, will fall-back to the
standard Django ``LOGIN_REDIRECT_URL`` setting. Returns a strin... | [
"def",
"login_redirect",
"(",
"redirect",
"=",
"None",
",",
"user",
"=",
"None",
")",
":",
"if",
"redirect",
":",
"return",
"redirect",
"elif",
"user",
"is",
"not",
"None",
":",
"return",
"defaults",
".",
"ACCOUNTS_LOGIN_REDIRECT_URL",
"%",
"{",
"'username'"... | Redirect user after successful sign in.
First looks for a ``requested_redirect``. If not supplied will fall-back
to the user specific account page. If all fails, will fall-back to the
standard Django ``LOGIN_REDIRECT_URL`` setting. Returns a string defining
the URI to go next.
:param redirect:
... | [
"Redirect",
"user",
"after",
"successful",
"sign",
"in",
"."
] | python | train |
tensorflow/tensorboard | tensorboard/plugins/graph/keras_util.py | https://github.com/tensorflow/tensorboard/blob/8e5f497b48e40f2a774f85416b8a35ac0693c35e/tensorboard/plugins/graph/keras_util.py#L180-L239 | def keras_model_to_graph_def(keras_layer):
"""Returns a GraphDef representation of the Keras model in a dict form.
Note that it only supports models that implemented to_json().
Args:
keras_layer: A dict from Keras model.to_json().
Returns:
A GraphDef representation of the layers in the model.
"""
... | [
"def",
"keras_model_to_graph_def",
"(",
"keras_layer",
")",
":",
"input_to_layer",
"=",
"{",
"}",
"model_name_to_output",
"=",
"{",
"}",
"g",
"=",
"GraphDef",
"(",
")",
"# Sequential model layers do not have a field \"inbound_nodes\" but",
"# instead are defined implicitly vi... | Returns a GraphDef representation of the Keras model in a dict form.
Note that it only supports models that implemented to_json().
Args:
keras_layer: A dict from Keras model.to_json().
Returns:
A GraphDef representation of the layers in the model. | [
"Returns",
"a",
"GraphDef",
"representation",
"of",
"the",
"Keras",
"model",
"in",
"a",
"dict",
"form",
"."
] | python | train |
Erotemic/utool | utool/util_dev.py | https://github.com/Erotemic/utool/blob/3b27e1f4e6e6fb23cd8744af7b7195b57d99e03a/utool/util_dev.py#L2926-L2932 | def map_column(self, keys, func):
"""
Args:
keys (list or str): the column name(s) to apply the `func` to
func (callable): applied to each element in the specified columns
"""
return [[func(v) for v in self[key]] for key in keys] | [
"def",
"map_column",
"(",
"self",
",",
"keys",
",",
"func",
")",
":",
"return",
"[",
"[",
"func",
"(",
"v",
")",
"for",
"v",
"in",
"self",
"[",
"key",
"]",
"]",
"for",
"key",
"in",
"keys",
"]"
] | Args:
keys (list or str): the column name(s) to apply the `func` to
func (callable): applied to each element in the specified columns | [
"Args",
":",
"keys",
"(",
"list",
"or",
"str",
")",
":",
"the",
"column",
"name",
"(",
"s",
")",
"to",
"apply",
"the",
"func",
"to",
"func",
"(",
"callable",
")",
":",
"applied",
"to",
"each",
"element",
"in",
"the",
"specified",
"columns"
] | python | train |
fossasia/knittingpattern | knittingpattern/Mesh.py | https://github.com/fossasia/knittingpattern/blob/8e608896b0ab82fea1ca9fbfa2b4ee023d8c8027/knittingpattern/Mesh.py#L304-L316 | def connect_to(self, other_mesh):
"""Create a connection to an other mesh.
.. warning:: Both meshes need to be disconnected and one needs to be
a consumed and the other a produced mesh. You can check if a
connection is possible using :meth:`can_connect_to`.
.. seealso:: :me... | [
"def",
"connect_to",
"(",
"self",
",",
"other_mesh",
")",
":",
"other_mesh",
".",
"disconnect",
"(",
")",
"self",
".",
"disconnect",
"(",
")",
"self",
".",
"_connect_to",
"(",
"other_mesh",
")"
] | Create a connection to an other mesh.
.. warning:: Both meshes need to be disconnected and one needs to be
a consumed and the other a produced mesh. You can check if a
connection is possible using :meth:`can_connect_to`.
.. seealso:: :meth:`is_consumed`, :meth:`is_produced`,
... | [
"Create",
"a",
"connection",
"to",
"an",
"other",
"mesh",
"."
] | python | valid |
pypa/pipenv | pipenv/vendor/distlib/util.py | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/vendor/distlib/util.py#L988-L1006 | def add(self, event, subscriber, append=True):
"""
Add a subscriber for an event.
:param event: The name of an event.
:param subscriber: The subscriber to be added (and called when the
event is published).
:param append: Whether to append or prepend th... | [
"def",
"add",
"(",
"self",
",",
"event",
",",
"subscriber",
",",
"append",
"=",
"True",
")",
":",
"subs",
"=",
"self",
".",
"_subscribers",
"if",
"event",
"not",
"in",
"subs",
":",
"subs",
"[",
"event",
"]",
"=",
"deque",
"(",
"[",
"subscriber",
"]... | Add a subscriber for an event.
:param event: The name of an event.
:param subscriber: The subscriber to be added (and called when the
event is published).
:param append: Whether to append or prepend the subscriber to an
existing subscriber list ... | [
"Add",
"a",
"subscriber",
"for",
"an",
"event",
"."
] | python | train |
hvac/hvac | hvac/api/secrets_engines/transit.py | https://github.com/hvac/hvac/blob/cce5b86889193f622c2a72a4a1b7e1c9c8aff1ce/hvac/api/secrets_engines/transit.py#L334-L374 | def decrypt_data(self, name, ciphertext, context="", nonce="", batch_input=None, mount_point=DEFAULT_MOUNT_POINT):
"""Decrypt the provided ciphertext using the named key.
Supported methods:
POST: /{mount_point}/decrypt/{name}. Produces: 200 application/json
:param name: Specifies t... | [
"def",
"decrypt_data",
"(",
"self",
",",
"name",
",",
"ciphertext",
",",
"context",
"=",
"\"\"",
",",
"nonce",
"=",
"\"\"",
",",
"batch_input",
"=",
"None",
",",
"mount_point",
"=",
"DEFAULT_MOUNT_POINT",
")",
":",
"params",
"=",
"{",
"'ciphertext'",
":",
... | Decrypt the provided ciphertext using the named key.
Supported methods:
POST: /{mount_point}/decrypt/{name}. Produces: 200 application/json
:param name: Specifies the name of the encryption key to decrypt against. This is specified as part of the URL.
:type name: str | unicode
... | [
"Decrypt",
"the",
"provided",
"ciphertext",
"using",
"the",
"named",
"key",
"."
] | python | train |
nitmir/django-cas-server | cas_server/views.py | https://github.com/nitmir/django-cas-server/blob/d106181b94c444f1946269da5c20f6c904840ad3/cas_server/views.py#L606-L617 | def get(self, request, *args, **kwargs):
"""
method called on GET request on this view
:param django.http.HttpRequest request: The current request object
"""
# initialize class parameters
self.init_get(request)
# process the GET request
self.proce... | [
"def",
"get",
"(",
"self",
",",
"request",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"# initialize class parameters",
"self",
".",
"init_get",
"(",
"request",
")",
"# process the GET request",
"self",
".",
"process_get",
"(",
")",
"# call the GET/PO... | method called on GET request on this view
:param django.http.HttpRequest request: The current request object | [
"method",
"called",
"on",
"GET",
"request",
"on",
"this",
"view"
] | python | train |
googleapis/google-cloud-python | bigquery/google/cloud/bigquery/client.py | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/bigquery/google/cloud/bigquery/client.py#L1716-L1798 | def insert_rows_json(
self,
table,
json_rows,
row_ids=None,
skip_invalid_rows=None,
ignore_unknown_values=None,
template_suffix=None,
retry=DEFAULT_RETRY,
):
"""Insert rows into a table without applying local type conversions.
See
... | [
"def",
"insert_rows_json",
"(",
"self",
",",
"table",
",",
"json_rows",
",",
"row_ids",
"=",
"None",
",",
"skip_invalid_rows",
"=",
"None",
",",
"ignore_unknown_values",
"=",
"None",
",",
"template_suffix",
"=",
"None",
",",
"retry",
"=",
"DEFAULT_RETRY",
",",... | Insert rows into a table without applying local type conversions.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/tabledata/insertAll
table (Union[ \
:class:`~google.cloud.bigquery.table.Table` \
:class:`~google.cloud.bigquery.table.TableReference`, \
... | [
"Insert",
"rows",
"into",
"a",
"table",
"without",
"applying",
"local",
"type",
"conversions",
"."
] | python | train |
elastic/elasticsearch-py | elasticsearch/client/xpack/rollup.py | https://github.com/elastic/elasticsearch-py/blob/2aab285c8f506f3863cbdaba3c90a685c510ba00/elasticsearch/client/xpack/rollup.py#L19-L28 | def get_jobs(self, id=None, params=None):
"""
`<>`_
:arg id: The ID of the job(s) to fetch. Accepts glob patterns, or left
blank for all jobs
"""
return self.transport.perform_request(
"GET", _make_path("_rollup", "job", id), params=params
) | [
"def",
"get_jobs",
"(",
"self",
",",
"id",
"=",
"None",
",",
"params",
"=",
"None",
")",
":",
"return",
"self",
".",
"transport",
".",
"perform_request",
"(",
"\"GET\"",
",",
"_make_path",
"(",
"\"_rollup\"",
",",
"\"job\"",
",",
"id",
")",
",",
"param... | `<>`_
:arg id: The ID of the job(s) to fetch. Accepts glob patterns, or left
blank for all jobs | [
"<",
">",
"_"
] | python | train |
IceflowRE/unidown | unidown/core/manager.py | https://github.com/IceflowRE/unidown/blob/2a6f82ab780bb825668bfc55b67c11c4f72ec05c/unidown/core/manager.py#L163-L178 | def check_update():
"""
Check for app updates and print/log them.
"""
logging.info('Check for app updates.')
try:
update = updater.check_for_app_updates()
except Exception:
logging.exception('Check for updates failed.')
return
if update:
print("!!! UPDATE AVAI... | [
"def",
"check_update",
"(",
")",
":",
"logging",
".",
"info",
"(",
"'Check for app updates.'",
")",
"try",
":",
"update",
"=",
"updater",
".",
"check_for_app_updates",
"(",
")",
"except",
"Exception",
":",
"logging",
".",
"exception",
"(",
"'Check for updates fa... | Check for app updates and print/log them. | [
"Check",
"for",
"app",
"updates",
"and",
"print",
"/",
"log",
"them",
"."
] | python | train |
sibirrer/lenstronomy | lenstronomy/ImSim/image_model.py | https://github.com/sibirrer/lenstronomy/blob/4edb100a4f3f4fdc4fac9b0032d2b0283d0aa1d6/lenstronomy/ImSim/image_model.py#L163-L175 | def linear_response_matrix(self, kwargs_lens=None, kwargs_source=None, kwargs_lens_light=None, kwargs_ps=None):
"""
computes the linear response matrix (m x n), with n beeing the data size and m being the coefficients
:param kwargs_lens:
:param kwargs_source:
:param kwargs_lens_... | [
"def",
"linear_response_matrix",
"(",
"self",
",",
"kwargs_lens",
"=",
"None",
",",
"kwargs_source",
"=",
"None",
",",
"kwargs_lens_light",
"=",
"None",
",",
"kwargs_ps",
"=",
"None",
")",
":",
"A",
"=",
"self",
".",
"_response_matrix",
"(",
"self",
".",
"... | computes the linear response matrix (m x n), with n beeing the data size and m being the coefficients
:param kwargs_lens:
:param kwargs_source:
:param kwargs_lens_light:
:param kwargs_ps:
:return: | [
"computes",
"the",
"linear",
"response",
"matrix",
"(",
"m",
"x",
"n",
")",
"with",
"n",
"beeing",
"the",
"data",
"size",
"and",
"m",
"being",
"the",
"coefficients"
] | python | train |
BD2KGenomics/toil-scripts | src/toil_scripts/exome_variant_pipeline/exome_variant_pipeline.py | https://github.com/BD2KGenomics/toil-scripts/blob/f878d863defcdccaabb7fe06f991451b7a198fb7/src/toil_scripts/exome_variant_pipeline/exome_variant_pipeline.py#L46-L57 | def reference_preprocessing(job, samples, config):
"""
Spawn the jobs that create index and dict file for reference
:param JobFunctionWrappingJob job: passed automatically by Toil
:param Namespace config: Argparse Namespace object containing argument inputs
:param list[list] samples: A nested list ... | [
"def",
"reference_preprocessing",
"(",
"job",
",",
"samples",
",",
"config",
")",
":",
"job",
".",
"fileStore",
".",
"logToMaster",
"(",
"'Processed reference files'",
")",
"config",
".",
"fai",
"=",
"job",
".",
"addChildJobFn",
"(",
"run_samtools_faidx",
",",
... | Spawn the jobs that create index and dict file for reference
:param JobFunctionWrappingJob job: passed automatically by Toil
:param Namespace config: Argparse Namespace object containing argument inputs
:param list[list] samples: A nested list of samples containing sample information | [
"Spawn",
"the",
"jobs",
"that",
"create",
"index",
"and",
"dict",
"file",
"for",
"reference"
] | python | train |
sosreport/sos | sos/plugins/foreman.py | https://github.com/sosreport/sos/blob/2ebc04da53dc871c8dd5243567afa4f8592dca29/sos/plugins/foreman.py#L163-L177 | def build_query_cmd(self, query, csv=False):
"""
Builds the command needed to invoke the pgsql query as the postgres
user.
The query requires significant quoting work to satisfy both the
shell and postgres parsing requirements. Note that this will generate
a large amount ... | [
"def",
"build_query_cmd",
"(",
"self",
",",
"query",
",",
"csv",
"=",
"False",
")",
":",
"_cmd",
"=",
"\"su postgres -c %s\"",
"if",
"not",
"csv",
":",
"_dbcmd",
"=",
"\"psql foreman -c %s\"",
"else",
":",
"_dbcmd",
"=",
"\"psql foreman -A -F , -X -c %s\"",
"dbq... | Builds the command needed to invoke the pgsql query as the postgres
user.
The query requires significant quoting work to satisfy both the
shell and postgres parsing requirements. Note that this will generate
a large amount of quoting in sos logs referencing the command being run | [
"Builds",
"the",
"command",
"needed",
"to",
"invoke",
"the",
"pgsql",
"query",
"as",
"the",
"postgres",
"user",
".",
"The",
"query",
"requires",
"significant",
"quoting",
"work",
"to",
"satisfy",
"both",
"the",
"shell",
"and",
"postgres",
"parsing",
"requireme... | python | train |
titusjan/argos | argos/qt/registry.py | https://github.com/titusjan/argos/blob/20d0a3cae26c36ea789a5d219c02ca7df21279dd/argos/qt/registry.py#L296-L305 | def removeItem(self, regItem):
""" Removes a ClassRegItem object to the registry.
Will raise a KeyError if the regItem is not registered.
"""
check_class(regItem, ClassRegItem)
logger.info("Removing {!r} containing {}".format(regItem.identifier, regItem.fullClassName))
... | [
"def",
"removeItem",
"(",
"self",
",",
"regItem",
")",
":",
"check_class",
"(",
"regItem",
",",
"ClassRegItem",
")",
"logger",
".",
"info",
"(",
"\"Removing {!r} containing {}\"",
".",
"format",
"(",
"regItem",
".",
"identifier",
",",
"regItem",
".",
"fullClas... | Removes a ClassRegItem object to the registry.
Will raise a KeyError if the regItem is not registered. | [
"Removes",
"a",
"ClassRegItem",
"object",
"to",
"the",
"registry",
".",
"Will",
"raise",
"a",
"KeyError",
"if",
"the",
"regItem",
"is",
"not",
"registered",
"."
] | python | train |
maartenbreddels/ipyvolume | ipyvolume/pylab.py | https://github.com/maartenbreddels/ipyvolume/blob/e68b72852b61276f8e6793bc8811f5b2432a155f/ipyvolume/pylab.py#L1206-L1263 | def use(style):
"""Set the style of the current figure/visualization.
:param style: matplotlib style name, or dict with values, or a sequence of these, where the last value overrides previous
:return:
"""
def valid(value): # checks if json'able
return isinstance(val... | [
"def",
"use",
"(",
"style",
")",
":",
"def",
"valid",
"(",
"value",
")",
":",
"# checks if json'able",
"return",
"isinstance",
"(",
"value",
",",
"six",
".",
"string_types",
")",
"def",
"translate",
"(",
"mplstyle",
")",
":",
"style",
"=",
"{",
"}",
"m... | Set the style of the current figure/visualization.
:param style: matplotlib style name, or dict with values, or a sequence of these, where the last value overrides previous
:return: | [
"Set",
"the",
"style",
"of",
"the",
"current",
"figure",
"/",
"visualization",
"."
] | python | train |
cloud9ers/gurumate | environment/lib/python2.7/site-packages/IPython/frontend/qt/console/completion_widget.py | https://github.com/cloud9ers/gurumate/blob/075dc74d1ee62a8c6b7a8bf2b271364f01629d1e/environment/lib/python2.7/site-packages/IPython/frontend/qt/console/completion_widget.py#L83-L101 | def show_items(self, cursor, items):
""" Shows the completion widget with 'items' at the position specified
by 'cursor'.
"""
text_edit = self._text_edit
point = text_edit.cursorRect(cursor).bottomRight()
point = text_edit.mapToGlobal(point)
height = self.sizeH... | [
"def",
"show_items",
"(",
"self",
",",
"cursor",
",",
"items",
")",
":",
"text_edit",
"=",
"self",
".",
"_text_edit",
"point",
"=",
"text_edit",
".",
"cursorRect",
"(",
"cursor",
")",
".",
"bottomRight",
"(",
")",
"point",
"=",
"text_edit",
".",
"mapToGl... | Shows the completion widget with 'items' at the position specified
by 'cursor'. | [
"Shows",
"the",
"completion",
"widget",
"with",
"items",
"at",
"the",
"position",
"specified",
"by",
"cursor",
"."
] | python | test |
DLR-RM/RAFCON | source/rafcon/gui/controllers/state_editor/data_flows.py | https://github.com/DLR-RM/RAFCON/blob/24942ef1a904531f49ab8830a1dbb604441be498/source/rafcon/gui/controllers/state_editor/data_flows.py#L833-L859 | def register_view(self, view):
"""Called when the View was registered
Can be used e.g. to connect signals. Here, the destroy signal is connected to close the application
"""
super(StateDataFlowsEditorController, self).register_view(view)
view['add_d_button'].connect('clicked', s... | [
"def",
"register_view",
"(",
"self",
",",
"view",
")",
":",
"super",
"(",
"StateDataFlowsEditorController",
",",
"self",
")",
".",
"register_view",
"(",
"view",
")",
"view",
"[",
"'add_d_button'",
"]",
".",
"connect",
"(",
"'clicked'",
",",
"self",
".",
"d... | Called when the View was registered
Can be used e.g. to connect signals. Here, the destroy signal is connected to close the application | [
"Called",
"when",
"the",
"View",
"was",
"registered"
] | python | train |
saltstack/salt | salt/modules/zabbix.py | https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/modules/zabbix.py#L1226-L1273 | def host_get(host=None, name=None, hostids=None, **kwargs):
'''
.. versionadded:: 2016.3.0
Retrieve hosts according to the given parameters
.. note::
This function accepts all optional host.get parameters: keyword
argument names differ depending on your zabbix version, see here__.
... | [
"def",
"host_get",
"(",
"host",
"=",
"None",
",",
"name",
"=",
"None",
",",
"hostids",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"conn_args",
"=",
"_login",
"(",
"*",
"*",
"kwargs",
")",
"ret",
"=",
"{",
"}",
"try",
":",
"if",
"conn_args",
... | .. versionadded:: 2016.3.0
Retrieve hosts according to the given parameters
.. note::
This function accepts all optional host.get parameters: keyword
argument names differ depending on your zabbix version, see here__.
.. __: https://www.zabbix.com/documentation/2.4/manual/api/referenc... | [
"..",
"versionadded",
"::",
"2016",
".",
"3",
".",
"0"
] | python | train |
numenta/nupic | src/nupic/data/file_record_stream.py | https://github.com/numenta/nupic/blob/5922fafffdccc8812e72b3324965ad2f7d4bbdad/src/nupic/data/file_record_stream.py#L609-L659 | def _updateSequenceInfo(self, r):
"""Keep track of sequence and make sure time goes forward
Check if the current record is the beginning of a new sequence
A new sequence starts in 2 cases:
1. The sequence id changed (if there is a sequence id field)
2. The reset field is 1 (if there is a reset fie... | [
"def",
"_updateSequenceInfo",
"(",
"self",
",",
"r",
")",
":",
"# Get current sequence id (if any)",
"newSequence",
"=",
"False",
"sequenceId",
"=",
"(",
"r",
"[",
"self",
".",
"_sequenceIdIdx",
"]",
"if",
"self",
".",
"_sequenceIdIdx",
"is",
"not",
"None",
"e... | Keep track of sequence and make sure time goes forward
Check if the current record is the beginning of a new sequence
A new sequence starts in 2 cases:
1. The sequence id changed (if there is a sequence id field)
2. The reset field is 1 (if there is a reset field)
Note that if there is no sequenc... | [
"Keep",
"track",
"of",
"sequence",
"and",
"make",
"sure",
"time",
"goes",
"forward"
] | python | valid |
awslabs/mxboard | python/mxboard/event_file_writer.py | https://github.com/awslabs/mxboard/blob/36057ff0f05325c9dc2fe046521325bf9d563a88/python/mxboard/event_file_writer.py#L102-L107 | def close(self):
"""Flushes the pending events and closes the writer after it is done."""
self.flush()
if self._recordio_writer is not None:
self._recordio_writer.close()
self._recordio_writer = None | [
"def",
"close",
"(",
"self",
")",
":",
"self",
".",
"flush",
"(",
")",
"if",
"self",
".",
"_recordio_writer",
"is",
"not",
"None",
":",
"self",
".",
"_recordio_writer",
".",
"close",
"(",
")",
"self",
".",
"_recordio_writer",
"=",
"None"
] | Flushes the pending events and closes the writer after it is done. | [
"Flushes",
"the",
"pending",
"events",
"and",
"closes",
"the",
"writer",
"after",
"it",
"is",
"done",
"."
] | python | train |
inveniosoftware-attic/invenio-comments | invenio_comments/views.py | https://github.com/inveniosoftware-attic/invenio-comments/blob/62bb6e07c146baf75bf8de80b5896ab2a01a8423/invenio_comments/views.py#L189-L213 | def comments(recid):
"""Display comments."""
from invenio_access.local_config import VIEWRESTRCOLL
from invenio_access.mailcookie import \
mail_cookie_create_authorize_action
from .api import check_user_can_view_comments
auth_code, auth_msg = check_user_can_view_comments(current_user, recid)... | [
"def",
"comments",
"(",
"recid",
")",
":",
"from",
"invenio_access",
".",
"local_config",
"import",
"VIEWRESTRCOLL",
"from",
"invenio_access",
".",
"mailcookie",
"import",
"mail_cookie_create_authorize_action",
"from",
".",
"api",
"import",
"check_user_can_view_comments",... | Display comments. | [
"Display",
"comments",
"."
] | python | train |
ejeschke/ginga | ginga/doc/download_doc.py | https://github.com/ejeschke/ginga/blob/a78c893ec6f37a837de851947e9bb4625c597915/ginga/doc/download_doc.py#L15-L52 | def _find_rtd_version():
"""Find closest RTD doc version."""
vstr = 'latest'
try:
import ginga
from bs4 import BeautifulSoup
except ImportError:
return vstr
# No active doc build before this release, just use latest.
if not minversion(ginga, '2.6.0'):
return vstr... | [
"def",
"_find_rtd_version",
"(",
")",
":",
"vstr",
"=",
"'latest'",
"try",
":",
"import",
"ginga",
"from",
"bs4",
"import",
"BeautifulSoup",
"except",
"ImportError",
":",
"return",
"vstr",
"# No active doc build before this release, just use latest.",
"if",
"not",
"mi... | Find closest RTD doc version. | [
"Find",
"closest",
"RTD",
"doc",
"version",
"."
] | python | train |
Microsoft/azure-devops-python-api | azure-devops/azure/devops/v5_1/git/git_client_base.py | https://github.com/Microsoft/azure-devops-python-api/blob/4777ffda2f5052fabbaddb2abe9cb434e0cf1aa8/azure-devops/azure/devops/v5_1/git/git_client_base.py#L886-L930 | def get_items(self, repository_id, project=None, scope_path=None, recursion_level=None, include_content_metadata=None, latest_processed_change=None, download=None, include_links=None, version_descriptor=None):
"""GetItems.
[Preview API] Get Item Metadata and/or Content for a collection of items. The dow... | [
"def",
"get_items",
"(",
"self",
",",
"repository_id",
",",
"project",
"=",
"None",
",",
"scope_path",
"=",
"None",
",",
"recursion_level",
"=",
"None",
",",
"include_content_metadata",
"=",
"None",
",",
"latest_processed_change",
"=",
"None",
",",
"download",
... | GetItems.
[Preview API] Get Item Metadata and/or Content for a collection of items. The download parameter is to indicate whether the content should be available as a download or just sent as a stream in the response. Doesn't apply to zipped content which is always returned as a download.
:param str rep... | [
"GetItems",
".",
"[",
"Preview",
"API",
"]",
"Get",
"Item",
"Metadata",
"and",
"/",
"or",
"Content",
"for",
"a",
"collection",
"of",
"items",
".",
"The",
"download",
"parameter",
"is",
"to",
"indicate",
"whether",
"the",
"content",
"should",
"be",
"availab... | python | train |
adobe-apiplatform/umapi-client.py | umapi_client/functional.py | https://github.com/adobe-apiplatform/umapi-client.py/blob/1c446d79643cc8615adaa23e12dce3ac5782cf76/umapi_client/functional.py#L182-L205 | def add_to_groups(self, groups=None, all_groups=False, group_type=None):
"""
Add user to some (typically PLC) groups. Note that, if you add to no groups, the effect
is simply to do an "add to organization Everybody group", so we let that be done.
:param groups: list of group names the u... | [
"def",
"add_to_groups",
"(",
"self",
",",
"groups",
"=",
"None",
",",
"all_groups",
"=",
"False",
",",
"group_type",
"=",
"None",
")",
":",
"if",
"all_groups",
":",
"if",
"groups",
"or",
"group_type",
":",
"raise",
"ArgumentError",
"(",
"\"When adding to all... | Add user to some (typically PLC) groups. Note that, if you add to no groups, the effect
is simply to do an "add to organization Everybody group", so we let that be done.
:param groups: list of group names the user should be added to
:param all_groups: a boolean meaning add to all (don't specify... | [
"Add",
"user",
"to",
"some",
"(",
"typically",
"PLC",
")",
"groups",
".",
"Note",
"that",
"if",
"you",
"add",
"to",
"no",
"groups",
"the",
"effect",
"is",
"simply",
"to",
"do",
"an",
"add",
"to",
"organization",
"Everybody",
"group",
"so",
"we",
"let",... | python | train |
hardbyte/python-can | can/interfaces/usb2can/usb2canInterface.py | https://github.com/hardbyte/python-can/blob/cdc5254d96072df7739263623f3e920628a7d214/can/interfaces/usb2can/usb2canInterface.py#L162-L174 | def _detect_available_configs(serial_matcher=None):
"""
Uses the Windows Management Instrumentation to identify serial devices.
:param str serial_matcher (optional):
search string for automatic detection of the device serial
"""
if serial_matcher:
channel... | [
"def",
"_detect_available_configs",
"(",
"serial_matcher",
"=",
"None",
")",
":",
"if",
"serial_matcher",
":",
"channels",
"=",
"find_serial_devices",
"(",
"serial_matcher",
")",
"else",
":",
"channels",
"=",
"find_serial_devices",
"(",
")",
"return",
"[",
"{",
... | Uses the Windows Management Instrumentation to identify serial devices.
:param str serial_matcher (optional):
search string for automatic detection of the device serial | [
"Uses",
"the",
"Windows",
"Management",
"Instrumentation",
"to",
"identify",
"serial",
"devices",
"."
] | python | train |
tadashi-aikawa/owlmixin | owlmixin/__init__.py | https://github.com/tadashi-aikawa/owlmixin/blob/7c4a042c3008abddc56a8e8e55ae930d276071f5/owlmixin/__init__.py#L605-L619 | def from_csvf(cls, fpath: str, fieldnames: Optional[Sequence[str]]=None, encoding: str='utf8',
force_snake_case: bool=True, restrict: bool=True) -> TList[T]:
"""From csv file path to list of instance
:param fpath: Csv file path
:param fieldnames: Specify csv header names if no... | [
"def",
"from_csvf",
"(",
"cls",
",",
"fpath",
":",
"str",
",",
"fieldnames",
":",
"Optional",
"[",
"Sequence",
"[",
"str",
"]",
"]",
"=",
"None",
",",
"encoding",
":",
"str",
"=",
"'utf8'",
",",
"force_snake_case",
":",
"bool",
"=",
"True",
",",
"res... | From csv file path to list of instance
:param fpath: Csv file path
:param fieldnames: Specify csv header names if not included in the file
:param encoding: Csv file encoding
:param force_snake_case: Keys are transformed to snake case in order to compliant PEP8 if True
:param res... | [
"From",
"csv",
"file",
"path",
"to",
"list",
"of",
"instance"
] | python | train |
inveniosoftware/invenio-files-rest | invenio_files_rest/serializer.py | https://github.com/inveniosoftware/invenio-files-rest/blob/59a950da61cc8d5882a03c6fde6db2e2ed10befd/invenio_files_rest/serializer.py#L69-L97 | def dump_links(self, o):
"""Dump links."""
params = {'versionId': o.version_id}
data = {
'self': url_for(
'.object_api',
bucket_id=o.bucket_id,
key=o.key,
_external=True,
**(params if not o.is_head or o.d... | [
"def",
"dump_links",
"(",
"self",
",",
"o",
")",
":",
"params",
"=",
"{",
"'versionId'",
":",
"o",
".",
"version_id",
"}",
"data",
"=",
"{",
"'self'",
":",
"url_for",
"(",
"'.object_api'",
",",
"bucket_id",
"=",
"o",
".",
"bucket_id",
",",
"key",
"="... | Dump links. | [
"Dump",
"links",
"."
] | python | train |
lacava/few | few/variation.py | https://github.com/lacava/few/blob/5c72044425e9a5d73b8dc2cbb9b96e873dcb5b4a/few/variation.py#L206-L223 | def is_valid_program(self,p):
"""checks whether program p makes a syntactically valid tree.
checks that the accumulated program length is always greater than the
accumulated arities, indicating that the appropriate number of arguments is
alway present for functions. It then checks that ... | [
"def",
"is_valid_program",
"(",
"self",
",",
"p",
")",
":",
"# print(\"p:\",p)",
"arities",
"=",
"list",
"(",
"a",
".",
"arity",
"[",
"a",
".",
"in_type",
"]",
"for",
"a",
"in",
"p",
")",
"accu_arities",
"=",
"list",
"(",
"accumulate",
"(",
"arities",
... | checks whether program p makes a syntactically valid tree.
checks that the accumulated program length is always greater than the
accumulated arities, indicating that the appropriate number of arguments is
alway present for functions. It then checks that the sum of arties +1
exactly equa... | [
"checks",
"whether",
"program",
"p",
"makes",
"a",
"syntactically",
"valid",
"tree",
"."
] | python | train |
marcotcr/lime | lime/lime_text.py | https://github.com/marcotcr/lime/blob/08133d47df00ed918e22005e0c98f6eefd5a1d71/lime/lime_text.py#L420-L469 | def __data_labels_distances(self,
indexed_string,
classifier_fn,
num_samples,
distance_metric='cosine'):
"""Generates a neighborhood around a prediction.
Generates neighborhoo... | [
"def",
"__data_labels_distances",
"(",
"self",
",",
"indexed_string",
",",
"classifier_fn",
",",
"num_samples",
",",
"distance_metric",
"=",
"'cosine'",
")",
":",
"def",
"distance_fn",
"(",
"x",
")",
":",
"return",
"sklearn",
".",
"metrics",
".",
"pairwise",
"... | Generates a neighborhood around a prediction.
Generates neighborhood data by randomly removing words from
the instance, and predicting with the classifier. Uses cosine distance
to compute distances between original and perturbed instances.
Args:
indexed_string: document (Ind... | [
"Generates",
"a",
"neighborhood",
"around",
"a",
"prediction",
"."
] | python | train |
kubernetes-client/python | kubernetes/client/apis/coordination_v1_api.py | https://github.com/kubernetes-client/python/blob/5e512ff564c244c50cab780d821542ed56aa965a/kubernetes/client/apis/coordination_v1_api.py#L153-L180 | def delete_collection_namespaced_lease(self, namespace, **kwargs):
"""
delete collection of Lease
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_collection_namespaced_lease(namespac... | [
"def",
"delete_collection_namespaced_lease",
"(",
"self",
",",
"namespace",
",",
"*",
"*",
"kwargs",
")",
":",
"kwargs",
"[",
"'_return_http_data_only'",
"]",
"=",
"True",
"if",
"kwargs",
".",
"get",
"(",
"'async_req'",
")",
":",
"return",
"self",
".",
"dele... | delete collection of Lease
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_collection_namespaced_lease(namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
... | [
"delete",
"collection",
"of",
"Lease",
"This",
"method",
"makes",
"a",
"synchronous",
"HTTP",
"request",
"by",
"default",
".",
"To",
"make",
"an",
"asynchronous",
"HTTP",
"request",
"please",
"pass",
"async_req",
"=",
"True",
">>>",
"thread",
"=",
"api",
"."... | python | train |
Valassis-Digital-Media/spylon | spylon/spark/launcher.py | https://github.com/Valassis-Digital-Media/spylon/blob/ac00e285fa1c790674606b793819c3e5baee0d48/spylon/spark/launcher.py#L552-L580 | def with_spark_context(application_name, conf=None):
"""Context manager for a spark context
Parameters
----------
application_name : string
conf : string, optional
Returns
-------
sc : SparkContext
Examples
--------
Used within a context manager
>>> with with_spark_con... | [
"def",
"with_spark_context",
"(",
"application_name",
",",
"conf",
"=",
"None",
")",
":",
"if",
"conf",
"is",
"None",
":",
"conf",
"=",
"default_configuration",
"assert",
"isinstance",
"(",
"conf",
",",
"SparkConfiguration",
")",
"sc",
"=",
"conf",
".",
"spa... | Context manager for a spark context
Parameters
----------
application_name : string
conf : string, optional
Returns
-------
sc : SparkContext
Examples
--------
Used within a context manager
>>> with with_spark_context("MyApplication") as sc:
... # Your Code here
... | [
"Context",
"manager",
"for",
"a",
"spark",
"context"
] | python | train |
RudolfCardinal/pythonlib | cardinal_pythonlib/rnc_db.py | https://github.com/RudolfCardinal/pythonlib/blob/0b84cb35f38bd7d8723958dae51b480a829b7227/cardinal_pythonlib/rnc_db.py#L2126-L2159 | def insert_record_by_dict(self,
table: str,
valuedict: Dict[str, Any]) -> Optional[int]:
"""Inserts a record into database, table "table", using a dictionary
containing field/value mappings. Returns the new PK (or None)."""
if not value... | [
"def",
"insert_record_by_dict",
"(",
"self",
",",
"table",
":",
"str",
",",
"valuedict",
":",
"Dict",
"[",
"str",
",",
"Any",
"]",
")",
"->",
"Optional",
"[",
"int",
"]",
":",
"if",
"not",
"valuedict",
":",
"return",
"None",
"n",
"=",
"len",
"(",
"... | Inserts a record into database, table "table", using a dictionary
containing field/value mappings. Returns the new PK (or None). | [
"Inserts",
"a",
"record",
"into",
"database",
"table",
"table",
"using",
"a",
"dictionary",
"containing",
"field",
"/",
"value",
"mappings",
".",
"Returns",
"the",
"new",
"PK",
"(",
"or",
"None",
")",
"."
] | python | train |
andymccurdy/redis-py | redis/sentinel.py | https://github.com/andymccurdy/redis-py/blob/cdfe2befbe00db4a3c48c9ddd6d64dea15f6f0db/redis/sentinel.py#L109-L125 | def rotate_slaves(self):
"Round-robin slave balancer"
slaves = self.sentinel_manager.discover_slaves(self.service_name)
if slaves:
if self.slave_rr_counter is None:
self.slave_rr_counter = random.randint(0, len(slaves) - 1)
for _ in xrange(len(slaves)):
... | [
"def",
"rotate_slaves",
"(",
"self",
")",
":",
"slaves",
"=",
"self",
".",
"sentinel_manager",
".",
"discover_slaves",
"(",
"self",
".",
"service_name",
")",
"if",
"slaves",
":",
"if",
"self",
".",
"slave_rr_counter",
"is",
"None",
":",
"self",
".",
"slave... | Round-robin slave balancer | [
"Round",
"-",
"robin",
"slave",
"balancer"
] | python | train |
cpenv/cpenv | cpenv/cli.py | https://github.com/cpenv/cpenv/blob/afbb569ae04002743db041d3629a5be8c290bd89/cpenv/cli.py#L144-L205 | def activate(paths, skip_local, skip_shared):
'''Activate an environment'''
if not paths:
ctx = click.get_current_context()
if cpenv.get_active_env():
ctx.invoke(info)
return
click.echo(ctx.get_help())
examples = (
'\nExamples: \n'
... | [
"def",
"activate",
"(",
"paths",
",",
"skip_local",
",",
"skip_shared",
")",
":",
"if",
"not",
"paths",
":",
"ctx",
"=",
"click",
".",
"get_current_context",
"(",
")",
"if",
"cpenv",
".",
"get_active_env",
"(",
")",
":",
"ctx",
".",
"invoke",
"(",
"inf... | Activate an environment | [
"Activate",
"an",
"environment"
] | python | valid |
fermiPy/fermipy | fermipy/jobs/job_archive.py | https://github.com/fermiPy/fermipy/blob/9df5e7e3728307fd58c5bba36fd86783c39fbad4/fermipy/jobs/job_archive.py#L690-L705 | def main_browse():
"""Entry point for command line use for browsing a JobArchive """
parser = argparse.ArgumentParser(usage="job_archive.py [options]",
description="Browse a job archive")
parser.add_argument('--jobs', action='store', dest='job_archive_table',
... | [
"def",
"main_browse",
"(",
")",
":",
"parser",
"=",
"argparse",
".",
"ArgumentParser",
"(",
"usage",
"=",
"\"job_archive.py [options]\"",
",",
"description",
"=",
"\"Browse a job archive\"",
")",
"parser",
".",
"add_argument",
"(",
"'--jobs'",
",",
"action",
"=",
... | Entry point for command line use for browsing a JobArchive | [
"Entry",
"point",
"for",
"command",
"line",
"use",
"for",
"browsing",
"a",
"JobArchive"
] | python | train |
bitesofcode/projexui | projexui/widgets/xwalkthroughwidget/xwalkthroughgraphics.py | https://github.com/bitesofcode/projexui/blob/f18a73bec84df90b034ca69b9deea118dbedfc4d/projexui/widgets/xwalkthroughwidget/xwalkthroughgraphics.py#L179-L196 | def load(self, graphic):
"""
Loads information for this item from the xml data.
:param graphic | <XWalkthroughItem>
"""
for prop in graphic.properties():
key = prop.name()
value = prop.value()
if key == 'cap... | [
"def",
"load",
"(",
"self",
",",
"graphic",
")",
":",
"for",
"prop",
"in",
"graphic",
".",
"properties",
"(",
")",
":",
"key",
"=",
"prop",
".",
"name",
"(",
")",
"value",
"=",
"prop",
".",
"value",
"(",
")",
"if",
"key",
"==",
"'caption'",
":",
... | Loads information for this item from the xml data.
:param graphic | <XWalkthroughItem> | [
"Loads",
"information",
"for",
"this",
"item",
"from",
"the",
"xml",
"data",
".",
":",
"param",
"graphic",
"|",
"<XWalkthroughItem",
">"
] | python | train |
lablup/backend.ai-client-py | src/ai/backend/client/cli/files.py | https://github.com/lablup/backend.ai-client-py/blob/a063d774fea6f4350b89498c40d3c837ec3029a7/src/ai/backend/client/cli/files.py#L43-L62 | def download(sess_id_or_alias, files, dest):
"""
Download files from a running container.
\b
SESSID: Session ID or its alias given when creating the session.
FILES: Paths inside container.
"""
if len(files) < 1:
return
with Session() as session:
try:
print_wa... | [
"def",
"download",
"(",
"sess_id_or_alias",
",",
"files",
",",
"dest",
")",
":",
"if",
"len",
"(",
"files",
")",
"<",
"1",
":",
"return",
"with",
"Session",
"(",
")",
"as",
"session",
":",
"try",
":",
"print_wait",
"(",
"'Downloading file(s) from {}...'",
... | Download files from a running container.
\b
SESSID: Session ID or its alias given when creating the session.
FILES: Paths inside container. | [
"Download",
"files",
"from",
"a",
"running",
"container",
"."
] | python | train |
ministryofjustice/money-to-prisoners-common | mtp_common/build_tasks/tasks.py | https://github.com/ministryofjustice/money-to-prisoners-common/blob/33c43a2912cb990d9148da7c8718f480f07d90a1/mtp_common/build_tasks/tasks.py#L317-L323 | def additional_assets(context: Context):
"""
Collects assets from GOV.UK frontend toolkit
"""
rsync_flags = '-avz' if context.verbosity == 2 else '-az'
for path in context.app.additional_asset_paths:
context.shell('rsync %s %s %s/' % (rsync_flags, path, context.app.asset_build_path)) | [
"def",
"additional_assets",
"(",
"context",
":",
"Context",
")",
":",
"rsync_flags",
"=",
"'-avz'",
"if",
"context",
".",
"verbosity",
"==",
"2",
"else",
"'-az'",
"for",
"path",
"in",
"context",
".",
"app",
".",
"additional_asset_paths",
":",
"context",
".",... | Collects assets from GOV.UK frontend toolkit | [
"Collects",
"assets",
"from",
"GOV",
".",
"UK",
"frontend",
"toolkit"
] | python | train |
jtwhite79/pyemu | pyemu/utils/helpers.py | https://github.com/jtwhite79/pyemu/blob/c504d8e7a4097cec07655a6318d275739bd8148a/pyemu/utils/helpers.py#L2901-L2920 | def write_forward_run(self):
""" write the forward run script forward_run.py
"""
with open(os.path.join(self.m.model_ws,self.forward_run_file),'w') as f:
f.write("import os\nimport numpy as np\nimport pandas as pd\nimport flopy\n")
f.write("import pyemu\n")
f... | [
"def",
"write_forward_run",
"(",
"self",
")",
":",
"with",
"open",
"(",
"os",
".",
"path",
".",
"join",
"(",
"self",
".",
"m",
".",
"model_ws",
",",
"self",
".",
"forward_run_file",
")",
",",
"'w'",
")",
"as",
"f",
":",
"f",
".",
"write",
"(",
"\... | write the forward run script forward_run.py | [
"write",
"the",
"forward",
"run",
"script",
"forward_run",
".",
"py"
] | python | train |
RRZE-HPC/kerncraft | kerncraft/kernel.py | https://github.com/RRZE-HPC/kerncraft/blob/c60baf8043e4da8d8d66da7575021c2f4c6c78af/kerncraft/kernel.py#L84-L107 | def transform_multidim_to_1d_ref(aref, dimension_dict):
"""
Transform ast of multidimensional reference to a single dimension reference.
In-place operation!
"""
dims = []
name = aref
while type(name) is c_ast.ArrayRef:
dims.append(name.subscript)
name = name.name
subscr... | [
"def",
"transform_multidim_to_1d_ref",
"(",
"aref",
",",
"dimension_dict",
")",
":",
"dims",
"=",
"[",
"]",
"name",
"=",
"aref",
"while",
"type",
"(",
"name",
")",
"is",
"c_ast",
".",
"ArrayRef",
":",
"dims",
".",
"append",
"(",
"name",
".",
"subscript",... | Transform ast of multidimensional reference to a single dimension reference.
In-place operation! | [
"Transform",
"ast",
"of",
"multidimensional",
"reference",
"to",
"a",
"single",
"dimension",
"reference",
"."
] | python | test |
nats-io/asyncio-nats | nats/aio/client.py | https://github.com/nats-io/asyncio-nats/blob/39e840be0b12ce326edac0bba69aeb1be930dcb8/nats/aio/client.py#L735-L763 | def timed_request(self, subject, payload, timeout=0.5):
"""
Implements the request/response pattern via pub/sub
using an ephemeral subscription which will be published
with a limited interest of 1 reply returning the response
or raising a Timeout error.
->> SUB _INBOX.... | [
"def",
"timed_request",
"(",
"self",
",",
"subject",
",",
"payload",
",",
"timeout",
"=",
"0.5",
")",
":",
"next_inbox",
"=",
"INBOX_PREFIX",
"[",
":",
"]",
"next_inbox",
".",
"extend",
"(",
"self",
".",
"_nuid",
".",
"next",
"(",
")",
")",
"inbox",
... | Implements the request/response pattern via pub/sub
using an ephemeral subscription which will be published
with a limited interest of 1 reply returning the response
or raising a Timeout error.
->> SUB _INBOX.2007314fe0fcb2cdc2a2914c1 90
->> UNSUB 90 1
->> PUB hell... | [
"Implements",
"the",
"request",
"/",
"response",
"pattern",
"via",
"pub",
"/",
"sub",
"using",
"an",
"ephemeral",
"subscription",
"which",
"will",
"be",
"published",
"with",
"a",
"limited",
"interest",
"of",
"1",
"reply",
"returning",
"the",
"response",
"or",
... | python | test |
Kortemme-Lab/klab | klab/bio/pdb.py | https://github.com/Kortemme-Lab/klab/blob/6d410ad08f1bd9f7cbbb28d7d946e94fbaaa2b6b/klab/bio/pdb.py#L2340-L2347 | def getAtomLinesForResidueInRosettaStructure(self, resid):
'''We assume a Rosetta-generated structure where residues are uniquely identified by number.'''
lines = [line for line in self.lines if line[0:4] == "ATOM" and resid == int(line[22:27])]
if not lines:
#print('Failed searching... | [
"def",
"getAtomLinesForResidueInRosettaStructure",
"(",
"self",
",",
"resid",
")",
":",
"lines",
"=",
"[",
"line",
"for",
"line",
"in",
"self",
".",
"lines",
"if",
"line",
"[",
"0",
":",
"4",
"]",
"==",
"\"ATOM\"",
"and",
"resid",
"==",
"int",
"(",
"li... | We assume a Rosetta-generated structure where residues are uniquely identified by number. | [
"We",
"assume",
"a",
"Rosetta",
"-",
"generated",
"structure",
"where",
"residues",
"are",
"uniquely",
"identified",
"by",
"number",
"."
] | python | train |
duniter/duniter-python-api | duniterpy/api/endpoint.py | https://github.com/duniter/duniter-python-api/blob/3a1e5d61a2f72f5afaf29d010c6cf4dff3648165/duniterpy/api/endpoint.py#L506-L513 | def inline(self) -> str:
"""
Return endpoint string
:return:
"""
inlined = [str(info) for info in (self.server, self.port) if info]
return ESSubscribtionEndpoint.API + " " + " ".join(inlined) | [
"def",
"inline",
"(",
"self",
")",
"->",
"str",
":",
"inlined",
"=",
"[",
"str",
"(",
"info",
")",
"for",
"info",
"in",
"(",
"self",
".",
"server",
",",
"self",
".",
"port",
")",
"if",
"info",
"]",
"return",
"ESSubscribtionEndpoint",
".",
"API",
"+... | Return endpoint string
:return: | [
"Return",
"endpoint",
"string"
] | python | train |
brean/python-pathfinding | pathfinding/finder/bi_a_star.py | https://github.com/brean/python-pathfinding/blob/b857bf85e514a1712b40e29ccb5a473cd7fd5c80/pathfinding/finder/bi_a_star.py#L38-L77 | def find_path(self, start, end, grid):
"""
find a path from start to end node on grid using the A* algorithm
:param start: start node
:param end: end node
:param grid: grid that stores all possible steps/tiles as 2D-list
:return:
"""
self.start_time = time... | [
"def",
"find_path",
"(",
"self",
",",
"start",
",",
"end",
",",
"grid",
")",
":",
"self",
".",
"start_time",
"=",
"time",
".",
"time",
"(",
")",
"# execution time limitation",
"self",
".",
"runs",
"=",
"0",
"# count number of iterations",
"start_open_list",
... | find a path from start to end node on grid using the A* algorithm
:param start: start node
:param end: end node
:param grid: grid that stores all possible steps/tiles as 2D-list
:return: | [
"find",
"a",
"path",
"from",
"start",
"to",
"end",
"node",
"on",
"grid",
"using",
"the",
"A",
"*",
"algorithm",
":",
"param",
"start",
":",
"start",
"node",
":",
"param",
"end",
":",
"end",
"node",
":",
"param",
"grid",
":",
"grid",
"that",
"stores",... | python | train |
iotile/coretools | iotilebuild/iotile/build/config/scons-local-3.0.1/SCons/Tool/link.py | https://github.com/iotile/coretools/blob/2d794f5f1346b841b0dcd16c9d284e9bf2f3c6ec/iotilebuild/iotile/build/config/scons-local-3.0.1/SCons/Tool/link.py#L180-L221 | def _versioned_lib_symlinks(env, libnode, version, prefix, suffix, name_func, soname_func):
"""Generate link names that should be created for a versioned shared lirbrary.
Returns a dictionary in the form { linkname : linktarget }
"""
Verbose = False
if Verbose:
print("_versioned_lib_syml... | [
"def",
"_versioned_lib_symlinks",
"(",
"env",
",",
"libnode",
",",
"version",
",",
"prefix",
",",
"suffix",
",",
"name_func",
",",
"soname_func",
")",
":",
"Verbose",
"=",
"False",
"if",
"Verbose",
":",
"print",
"(",
"\"_versioned_lib_symlinks: libnode={:r}\"",
... | Generate link names that should be created for a versioned shared lirbrary.
Returns a dictionary in the form { linkname : linktarget } | [
"Generate",
"link",
"names",
"that",
"should",
"be",
"created",
"for",
"a",
"versioned",
"shared",
"lirbrary",
".",
"Returns",
"a",
"dictionary",
"in",
"the",
"form",
"{",
"linkname",
":",
"linktarget",
"}"
] | python | train |
ransford/sllurp | sllurp/llrp.py | https://github.com/ransford/sllurp/blob/d744b7e17d7ba64a24d9a31bde6cba65d91ad9b1/sllurp/llrp.py#L1201-L1220 | def setTxPower(self, tx_power):
"""Set the transmission power for one or more antennas.
@param tx_power: index into self.tx_power_table
"""
tx_pow_validated = self.get_tx_power(tx_power)
logger.debug('tx_pow_validated: %s', tx_pow_validated)
needs_update = False
... | [
"def",
"setTxPower",
"(",
"self",
",",
"tx_power",
")",
":",
"tx_pow_validated",
"=",
"self",
".",
"get_tx_power",
"(",
"tx_power",
")",
"logger",
".",
"debug",
"(",
"'tx_pow_validated: %s'",
",",
"tx_pow_validated",
")",
"needs_update",
"=",
"False",
"for",
"... | Set the transmission power for one or more antennas.
@param tx_power: index into self.tx_power_table | [
"Set",
"the",
"transmission",
"power",
"for",
"one",
"or",
"more",
"antennas",
"."
] | python | train |
spyder-ide/spyder-kernels | spyder_kernels/customize/spydercustomize.py | https://github.com/spyder-ide/spyder-kernels/blob/2c5b36cdb797b8aba77bc406ca96f5e079c4aaca/spyder_kernels/customize/spydercustomize.py#L731-L758 | def post_mortem_excepthook(type, value, tb):
"""
For post mortem exception handling, print a banner and enable post
mortem debugging.
"""
clear_post_mortem()
ipython_shell = get_ipython()
ipython_shell.showtraceback((type, value, tb))
p = pdb.Pdb(ipython_shell.colors)
if not type ==... | [
"def",
"post_mortem_excepthook",
"(",
"type",
",",
"value",
",",
"tb",
")",
":",
"clear_post_mortem",
"(",
")",
"ipython_shell",
"=",
"get_ipython",
"(",
")",
"ipython_shell",
".",
"showtraceback",
"(",
"(",
"type",
",",
"value",
",",
"tb",
")",
")",
"p",
... | For post mortem exception handling, print a banner and enable post
mortem debugging. | [
"For",
"post",
"mortem",
"exception",
"handling",
"print",
"a",
"banner",
"and",
"enable",
"post",
"mortem",
"debugging",
"."
] | python | train |
IdentityPython/oidcendpoint | src/oidcendpoint/oidc/token.py | https://github.com/IdentityPython/oidcendpoint/blob/6c1d729d51bfb6332816117fe476073df7a1d823/src/oidcendpoint/oidc/token.py#L137-L164 | def _post_parse_request(self, request, client_id='', **kwargs):
"""
This is where clients come to get their access tokens
:param request: The request
:param authn: Authentication info, comes from HTTP header
:returns:
"""
if 'state' in request:
try:
... | [
"def",
"_post_parse_request",
"(",
"self",
",",
"request",
",",
"client_id",
"=",
"''",
",",
"*",
"*",
"kwargs",
")",
":",
"if",
"'state'",
"in",
"request",
":",
"try",
":",
"sinfo",
"=",
"self",
".",
"endpoint_context",
".",
"sdb",
"[",
"request",
"["... | This is where clients come to get their access tokens
:param request: The request
:param authn: Authentication info, comes from HTTP header
:returns: | [
"This",
"is",
"where",
"clients",
"come",
"to",
"get",
"their",
"access",
"tokens"
] | python | train |
benhoff/pluginmanager | pluginmanager/module_manager.py | https://github.com/benhoff/pluginmanager/blob/a8a184f9ebfbb521703492cb88c1dbda4cd04c06/pluginmanager/module_manager.py#L122-L131 | def add_module_plugin_filters(self, module_plugin_filters):
"""
Adds `module_plugin_filters` to the internal module filters.
May be a single object or an iterable.
Every module filters must be a callable and take in
a list of plugins and their associated names.
"""
... | [
"def",
"add_module_plugin_filters",
"(",
"self",
",",
"module_plugin_filters",
")",
":",
"module_plugin_filters",
"=",
"util",
".",
"return_list",
"(",
"module_plugin_filters",
")",
"self",
".",
"module_plugin_filters",
".",
"extend",
"(",
"module_plugin_filters",
")"
] | Adds `module_plugin_filters` to the internal module filters.
May be a single object or an iterable.
Every module filters must be a callable and take in
a list of plugins and their associated names. | [
"Adds",
"module_plugin_filters",
"to",
"the",
"internal",
"module",
"filters",
".",
"May",
"be",
"a",
"single",
"object",
"or",
"an",
"iterable",
"."
] | python | train |
saltstack/salt | salt/modules/boto3_sns.py | https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/modules/boto3_sns.py#L99-L127 | def describe_topic(name, region=None, key=None, keyid=None, profile=None):
'''
Returns details about a specific SNS topic, specified by name or ARN.
CLI example::
salt my_favorite_client boto3_sns.describe_topic a_sns_topic_of_my_choice
'''
topics = list_topics(region=region, key=key, keyi... | [
"def",
"describe_topic",
"(",
"name",
",",
"region",
"=",
"None",
",",
"key",
"=",
"None",
",",
"keyid",
"=",
"None",
",",
"profile",
"=",
"None",
")",
":",
"topics",
"=",
"list_topics",
"(",
"region",
"=",
"region",
",",
"key",
"=",
"key",
",",
"k... | Returns details about a specific SNS topic, specified by name or ARN.
CLI example::
salt my_favorite_client boto3_sns.describe_topic a_sns_topic_of_my_choice | [
"Returns",
"details",
"about",
"a",
"specific",
"SNS",
"topic",
"specified",
"by",
"name",
"or",
"ARN",
"."
] | python | train |
rodricios/eatiht | eatiht/etv2.py | https://github.com/rodricios/eatiht/blob/7341c46327cfe7e0c9f226ef5e9808975c4d43da/eatiht/etv2.py#L209-L235 | def get_textnode_subtrees(html_tree,
xpath_to_text=TEXT_FINDER_XPATH):
"""A modification of get_sentence_xpath_tuples: some code was
refactored-out, variable names are slightly different. This function
does wrap the ltml.tree construction, so a file path, file-like
structu... | [
"def",
"get_textnode_subtrees",
"(",
"html_tree",
",",
"xpath_to_text",
"=",
"TEXT_FINDER_XPATH",
")",
":",
"try",
":",
"xpath_finder",
"=",
"html_tree",
".",
"getroot",
"(",
")",
".",
"getroottree",
"(",
")",
".",
"getpath",
"except",
"(",
"AttributeError",
"... | A modification of get_sentence_xpath_tuples: some code was
refactored-out, variable names are slightly different. This function
does wrap the ltml.tree construction, so a file path, file-like
structure, or URL is required. | [
"A",
"modification",
"of",
"get_sentence_xpath_tuples",
":",
"some",
"code",
"was",
"refactored",
"-",
"out",
"variable",
"names",
"are",
"slightly",
"different",
".",
"This",
"function",
"does",
"wrap",
"the",
"ltml",
".",
"tree",
"construction",
"so",
"a",
"... | python | train |
saltstack/salt | salt/cloud/clouds/opennebula.py | https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/cloud/clouds/opennebula.py#L4301-L4384 | def vn_release(call=None, kwargs=None):
'''
Releases a virtual network lease that was previously on hold.
.. versionadded:: 2016.3.0
vn_id
The ID of the virtual network from which to release the lease. Can be
used instead of ``vn_name``.
vn_name
The name of the virtual net... | [
"def",
"vn_release",
"(",
"call",
"=",
"None",
",",
"kwargs",
"=",
"None",
")",
":",
"if",
"call",
"!=",
"'function'",
":",
"raise",
"SaltCloudSystemExit",
"(",
"'The vn_reserve function must be called with -f or --function.'",
")",
"if",
"kwargs",
"is",
"None",
"... | Releases a virtual network lease that was previously on hold.
.. versionadded:: 2016.3.0
vn_id
The ID of the virtual network from which to release the lease. Can be
used instead of ``vn_name``.
vn_name
The name of the virtual network from which to release the lease.
Can be... | [
"Releases",
"a",
"virtual",
"network",
"lease",
"that",
"was",
"previously",
"on",
"hold",
"."
] | python | train |
buildbot/buildbot | master/buildbot/www/service.py | https://github.com/buildbot/buildbot/blob/5df3cfae6d760557d99156633c32b1822a1e130c/master/buildbot/www/service.py#L122-L134 | def uid(self):
"""uid is now generated automatically according to the claims.
This should actually only be used for cookie generation
"""
exp = datetime.datetime.utcnow() + self.expDelay
claims = {
'user_info': self.user_info,
# Note that we use JWT stand... | [
"def",
"uid",
"(",
"self",
")",
":",
"exp",
"=",
"datetime",
".",
"datetime",
".",
"utcnow",
"(",
")",
"+",
"self",
".",
"expDelay",
"claims",
"=",
"{",
"'user_info'",
":",
"self",
".",
"user_info",
",",
"# Note that we use JWT standard 'exp' field to implemen... | uid is now generated automatically according to the claims.
This should actually only be used for cookie generation | [
"uid",
"is",
"now",
"generated",
"automatically",
"according",
"to",
"the",
"claims",
"."
] | python | train |
juju/charm-helpers | charmhelpers/contrib/openstack/utils.py | https://github.com/juju/charm-helpers/blob/aa785c40c3b7a8c69dbfbc7921d6b9f30142e171/charmhelpers/contrib/openstack/utils.py#L1255-L1296 | def check_actually_paused(services=None, ports=None):
"""Check that services listed in the services object and ports
are actually closed (not listened to), to verify that the unit is
properly paused.
@param services: See _extract_services_list_helper
@returns status, : string for status (None if ok... | [
"def",
"check_actually_paused",
"(",
"services",
"=",
"None",
",",
"ports",
"=",
"None",
")",
":",
"state",
"=",
"None",
"message",
"=",
"None",
"messages",
"=",
"[",
"]",
"if",
"services",
"is",
"not",
"None",
":",
"services",
"=",
"_extract_services_list... | Check that services listed in the services object and ports
are actually closed (not listened to), to verify that the unit is
properly paused.
@param services: See _extract_services_list_helper
@returns status, : string for status (None if okay)
message : string for problem for status_set | [
"Check",
"that",
"services",
"listed",
"in",
"the",
"services",
"object",
"and",
"ports",
"are",
"actually",
"closed",
"(",
"not",
"listened",
"to",
")",
"to",
"verify",
"that",
"the",
"unit",
"is",
"properly",
"paused",
"."
] | python | train |
apache/incubator-heron | heron/instance/src/python/utils/tuple.py | https://github.com/apache/incubator-heron/blob/ad10325a0febe89ad337e561ebcbe37ec5d9a5ac/heron/instance/src/python/utils/tuple.py#L62-L74 | def make_tuple(stream, tuple_key, values, roots=None):
"""Creates a HeronTuple
:param stream: protobuf message ``StreamId``
:param tuple_key: tuple id
:param values: a list of values
:param roots: a list of protobuf message ``RootId``
"""
component_name = stream.component_name
stream_id... | [
"def",
"make_tuple",
"(",
"stream",
",",
"tuple_key",
",",
"values",
",",
"roots",
"=",
"None",
")",
":",
"component_name",
"=",
"stream",
".",
"component_name",
"stream_id",
"=",
"stream",
".",
"id",
"gen_task",
"=",
"roots",
"[",
"0",
"]",
".",
"taskid... | Creates a HeronTuple
:param stream: protobuf message ``StreamId``
:param tuple_key: tuple id
:param values: a list of values
:param roots: a list of protobuf message ``RootId`` | [
"Creates",
"a",
"HeronTuple"
] | python | valid |
juju/python-libjuju | juju/application.py | https://github.com/juju/python-libjuju/blob/58f0011f4c57cd68830258952fa952eaadca6b38/juju/application.py#L332-L342 | async def set_config(self, config):
"""Set configuration options for this application.
:param config: Dict of configuration to set
"""
app_facade = client.ApplicationFacade.from_connection(self.connection)
log.debug(
'Setting config for %s: %s', self.name, config)
... | [
"async",
"def",
"set_config",
"(",
"self",
",",
"config",
")",
":",
"app_facade",
"=",
"client",
".",
"ApplicationFacade",
".",
"from_connection",
"(",
"self",
".",
"connection",
")",
"log",
".",
"debug",
"(",
"'Setting config for %s: %s'",
",",
"self",
".",
... | Set configuration options for this application.
:param config: Dict of configuration to set | [
"Set",
"configuration",
"options",
"for",
"this",
"application",
"."
] | python | train |
IdentityPython/pysaml2 | src/saml2/mdstore.py | https://github.com/IdentityPython/pysaml2/blob/d3aa78eeb7d37c12688f783cb4db1c7263a14ad6/src/saml2/mdstore.py#L388-L428 | def certs(self, entity_id, descriptor, use="signing"):
'''
Returns certificates for the given Entity
'''
ent = self[entity_id]
def extract_certs(srvs):
res = []
for srv in srvs:
if "key_descriptor" in srv:
for key in sr... | [
"def",
"certs",
"(",
"self",
",",
"entity_id",
",",
"descriptor",
",",
"use",
"=",
"\"signing\"",
")",
":",
"ent",
"=",
"self",
"[",
"entity_id",
"]",
"def",
"extract_certs",
"(",
"srvs",
")",
":",
"res",
"=",
"[",
"]",
"for",
"srv",
"in",
"srvs",
... | Returns certificates for the given Entity | [
"Returns",
"certificates",
"for",
"the",
"given",
"Entity"
] | python | train |
dmcc/PyStanfordDependencies | StanfordDependencies/StanfordDependencies.py | https://github.com/dmcc/PyStanfordDependencies/blob/43d8f38a19e40087f273330087918c87df6d4d8f/StanfordDependencies/StanfordDependencies.py#L92-L116 | def convert_trees(self, ptb_trees, representation='basic', universal=True,
include_punct=True, include_erased=False, **kwargs):
"""Convert a list of Penn Treebank formatted strings (ptb_trees)
into Stanford Dependencies. The dependencies are represented
as a list of sentenc... | [
"def",
"convert_trees",
"(",
"self",
",",
"ptb_trees",
",",
"representation",
"=",
"'basic'",
",",
"universal",
"=",
"True",
",",
"include_punct",
"=",
"True",
",",
"include_erased",
"=",
"False",
",",
"*",
"*",
"kwargs",
")",
":",
"kwargs",
".",
"update",... | Convert a list of Penn Treebank formatted strings (ptb_trees)
into Stanford Dependencies. The dependencies are represented
as a list of sentences (CoNLL.Corpus), where each sentence
(CoNLL.Sentence) is itself a list of CoNLL.Token objects.
Currently supported representations are 'basic'... | [
"Convert",
"a",
"list",
"of",
"Penn",
"Treebank",
"formatted",
"strings",
"(",
"ptb_trees",
")",
"into",
"Stanford",
"Dependencies",
".",
"The",
"dependencies",
"are",
"represented",
"as",
"a",
"list",
"of",
"sentences",
"(",
"CoNLL",
".",
"Corpus",
")",
"wh... | python | train |
NICTA/revrand | revrand/slm.py | https://github.com/NICTA/revrand/blob/4c1881b6c1772d2b988518e49dde954f165acfb6/revrand/slm.py#L219-L244 | def predict_moments(self, X):
"""
Full predictive distribution from Bayesian linear regression.
Parameters
----------
X : ndarray
(N*,d) array query input dataset (N* samples, d dimensions).
Returns
-------
Ey : ndarray
The expect... | [
"def",
"predict_moments",
"(",
"self",
",",
"X",
")",
":",
"check_is_fitted",
"(",
"self",
",",
"[",
"'var_'",
",",
"'regularizer_'",
",",
"'weights_'",
",",
"'covariance_'",
",",
"'hypers_'",
"]",
")",
"X",
"=",
"check_array",
"(",
"X",
")",
"Phi",
"=",... | Full predictive distribution from Bayesian linear regression.
Parameters
----------
X : ndarray
(N*,d) array query input dataset (N* samples, d dimensions).
Returns
-------
Ey : ndarray
The expected value of y* for the query inputs, X* of shape (... | [
"Full",
"predictive",
"distribution",
"from",
"Bayesian",
"linear",
"regression",
"."
] | python | train |
numenta/htmresearch | htmresearch/regions/RawSensor.py | https://github.com/numenta/htmresearch/blob/70c096b09a577ea0432c3f3bfff4442d4871b7aa/htmresearch/regions/RawSensor.py#L104-L126 | def compute(self, inputs, outputs):
"""
Get the next record from the queue and encode it. The fields for inputs and
outputs are as defined in the spec above.
"""
if len(self.queue) > 0:
# Take the top element of the data queue
data = self.queue.pop()
else:
raise Exception("Raw... | [
"def",
"compute",
"(",
"self",
",",
"inputs",
",",
"outputs",
")",
":",
"if",
"len",
"(",
"self",
".",
"queue",
")",
">",
"0",
":",
"# Take the top element of the data queue",
"data",
"=",
"self",
".",
"queue",
".",
"pop",
"(",
")",
"else",
":",
"raise... | Get the next record from the queue and encode it. The fields for inputs and
outputs are as defined in the spec above. | [
"Get",
"the",
"next",
"record",
"from",
"the",
"queue",
"and",
"encode",
"it",
".",
"The",
"fields",
"for",
"inputs",
"and",
"outputs",
"are",
"as",
"defined",
"in",
"the",
"spec",
"above",
"."
] | python | train |
jepegit/cellpy | cellpy/utils/batch_tools/batch_plotters.py | https://github.com/jepegit/cellpy/blob/9f4a84cdd11f72cfa02cda8c2d7b5174abbb7370/cellpy/utils/batch_tools/batch_plotters.py#L464-L483 | def run_dumper(self, dumper):
"""run dumber (once pr. engine)
Args:
dumper: dumper to run (function or method).
The dumper takes the attributes experiments, farms, and barn as input.
It does not return anything. But can, if the dumper designer feels in
a bad and nas... | [
"def",
"run_dumper",
"(",
"self",
",",
"dumper",
")",
":",
"logging",
".",
"debug",
"(",
"\"start dumper::\"",
")",
"dumper",
"(",
"experiments",
"=",
"self",
".",
"experiments",
",",
"farms",
"=",
"self",
".",
"farms",
",",
"barn",
"=",
"self",
".",
"... | run dumber (once pr. engine)
Args:
dumper: dumper to run (function or method).
The dumper takes the attributes experiments, farms, and barn as input.
It does not return anything. But can, if the dumper designer feels in
a bad and nasty mood, modify the input objects
... | [
"run",
"dumber",
"(",
"once",
"pr",
".",
"engine",
")"
] | python | train |
kovacsbalu/WazeRouteCalculator | WazeRouteCalculator/WazeRouteCalculator.py | https://github.com/kovacsbalu/WazeRouteCalculator/blob/13ddb064571bb2bc0ceec51b5b317640b2bc3fb2/WazeRouteCalculator/WazeRouteCalculator.py#L88-L113 | def address_to_coords(self, address):
"""Convert address to coordinates"""
base_coords = self.BASE_COORDS[self.region]
get_cord = self.COORD_SERVERS[self.region]
url_options = {
"q": address,
"lang": "eng",
"origin": "livemap",
"lat": base... | [
"def",
"address_to_coords",
"(",
"self",
",",
"address",
")",
":",
"base_coords",
"=",
"self",
".",
"BASE_COORDS",
"[",
"self",
".",
"region",
"]",
"get_cord",
"=",
"self",
".",
"COORD_SERVERS",
"[",
"self",
".",
"region",
"]",
"url_options",
"=",
"{",
"... | Convert address to coordinates | [
"Convert",
"address",
"to",
"coordinates"
] | python | train |
bhmm/bhmm | bhmm/output_models/discrete.py | https://github.com/bhmm/bhmm/blob/9804d18c2ddb684fb4d90b544cc209617a89ca9a/bhmm/output_models/discrete.py#L130-L157 | def p_obs(self, obs, out=None):
"""
Returns the output probabilities for an entire trajectory and all hidden states
Parameters
----------
obs : ndarray((T), dtype=int)
a discrete trajectory of length T
Return
------
p_o : ndarray (T,N)
... | [
"def",
"p_obs",
"(",
"self",
",",
"obs",
",",
"out",
"=",
"None",
")",
":",
"if",
"out",
"is",
"None",
":",
"out",
"=",
"self",
".",
"_output_probabilities",
"[",
":",
",",
"obs",
"]",
".",
"T",
"# out /= np.sum(out, axis=1)[:,None]",
"return",
"self",
... | Returns the output probabilities for an entire trajectory and all hidden states
Parameters
----------
obs : ndarray((T), dtype=int)
a discrete trajectory of length T
Return
------
p_o : ndarray (T,N)
the probability of generating the symbol at ti... | [
"Returns",
"the",
"output",
"probabilities",
"for",
"an",
"entire",
"trajectory",
"and",
"all",
"hidden",
"states"
] | python | train |
LonamiWebs/Telethon | telethon/tl/custom/chatgetter.py | https://github.com/LonamiWebs/Telethon/blob/1ead9757d366b58c1e0567cddb0196e20f1a445f/telethon/tl/custom/chatgetter.py#L27-L40 | async def get_chat(self):
"""
Returns `chat`, but will make an API call to find the
chat unless it's already cached.
"""
# See `get_sender` for information about 'min'.
if (self._chat is None or getattr(self._chat, 'min', None))\
and await self.get_input_c... | [
"async",
"def",
"get_chat",
"(",
"self",
")",
":",
"# See `get_sender` for information about 'min'.",
"if",
"(",
"self",
".",
"_chat",
"is",
"None",
"or",
"getattr",
"(",
"self",
".",
"_chat",
",",
"'min'",
",",
"None",
")",
")",
"and",
"await",
"self",
".... | Returns `chat`, but will make an API call to find the
chat unless it's already cached. | [
"Returns",
"chat",
"but",
"will",
"make",
"an",
"API",
"call",
"to",
"find",
"the",
"chat",
"unless",
"it",
"s",
"already",
"cached",
"."
] | python | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.