nwo stringlengths 5 106 | sha stringlengths 40 40 | path stringlengths 4 174 | language stringclasses 1
value | identifier stringlengths 1 140 | parameters stringlengths 0 87.7k | argument_list stringclasses 1
value | return_statement stringlengths 0 426k | docstring stringlengths 0 64.3k | docstring_summary stringlengths 0 26.3k | docstring_tokens list | function stringlengths 18 4.83M | function_tokens list | url stringlengths 83 304 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
openvinotoolkit/open_model_zoo | 5a4232f6c35b4916eb6e8750141f4e45761237ef | demos/speech_recognition_deepspeech_demo/python/asr_utils/audio_features.py | python | AudioFeaturesSeqPipelineStage._process_blocks | (self, audio, finish=False) | audio (numpy.ndarray), this buffer is guaranteed to contain data for 1 or more blocks
(audio.shape[0]>=self._block_len+self._context_len) | audio (numpy.ndarray), this buffer is guaranteed to contain data for 1 or more blocks
(audio.shape[0]>=self._block_len+self._context_len) | [
"audio",
"(",
"numpy",
".",
"ndarray",
")",
"this",
"buffer",
"is",
"guaranteed",
"to",
"contain",
"data",
"for",
"1",
"or",
"more",
"blocks",
"(",
"audio",
".",
"shape",
"[",
"0",
"]",
">",
"=",
"self",
".",
"_block_len",
"+",
"self",
".",
"_context... | def _process_blocks(self, audio, finish=False):
"""
audio (numpy.ndarray), this buffer is guaranteed to contain data for 1 or more blocks
(audio.shape[0]>=self._block_len+self._context_len)
"""
# Cut the buffer to the end of the last frame
audio_len = audio.shape[0]
... | [
"def",
"_process_blocks",
"(",
"self",
",",
"audio",
",",
"finish",
"=",
"False",
")",
":",
"# Cut the buffer to the end of the last frame",
"audio_len",
"=",
"audio",
".",
"shape",
"[",
"0",
"]",
"processable_len",
"=",
"audio_len",
"-",
"(",
"audio_len",
"-",
... | https://github.com/openvinotoolkit/open_model_zoo/blob/5a4232f6c35b4916eb6e8750141f4e45761237ef/demos/speech_recognition_deepspeech_demo/python/asr_utils/audio_features.py#L45-L75 | ||
TencentCloud/tencentcloud-sdk-python | 3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2 | tencentcloud/vpc/v20170312/models.py | python | TemplateLimit.__init__ | (self) | r"""
:param AddressTemplateMemberLimit: 参数模板IP地址成员配额。
:type AddressTemplateMemberLimit: int
:param AddressTemplateGroupMemberLimit: 参数模板IP地址组成员配额。
:type AddressTemplateGroupMemberLimit: int
:param ServiceTemplateMemberLimit: 参数模板I协议端口成员配额。
:type ServiceTemplateMemberLimit... | r"""
:param AddressTemplateMemberLimit: 参数模板IP地址成员配额。
:type AddressTemplateMemberLimit: int
:param AddressTemplateGroupMemberLimit: 参数模板IP地址组成员配额。
:type AddressTemplateGroupMemberLimit: int
:param ServiceTemplateMemberLimit: 参数模板I协议端口成员配额。
:type ServiceTemplateMemberLimit... | [
"r",
":",
"param",
"AddressTemplateMemberLimit",
":",
"参数模板IP地址成员配额。",
":",
"type",
"AddressTemplateMemberLimit",
":",
"int",
":",
"param",
"AddressTemplateGroupMemberLimit",
":",
"参数模板IP地址组成员配额。",
":",
"type",
"AddressTemplateGroupMemberLimit",
":",
"int",
":",
"param",
... | def __init__(self):
r"""
:param AddressTemplateMemberLimit: 参数模板IP地址成员配额。
:type AddressTemplateMemberLimit: int
:param AddressTemplateGroupMemberLimit: 参数模板IP地址组成员配额。
:type AddressTemplateGroupMemberLimit: int
:param ServiceTemplateMemberLimit: 参数模板I协议端口成员配额。
:typ... | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"AddressTemplateMemberLimit",
"=",
"None",
"self",
".",
"AddressTemplateGroupMemberLimit",
"=",
"None",
"self",
".",
"ServiceTemplateMemberLimit",
"=",
"None",
"self",
".",
"ServiceTemplateGroupMemberLimit",
"=",
... | https://github.com/TencentCloud/tencentcloud-sdk-python/blob/3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2/tencentcloud/vpc/v20170312/models.py#L19116-L19130 | ||
tensorflow/mesh | 57ed4018e6a173952501b074daabad32b6449f3d | mesh_tensorflow/auto_mtf/graph_interface.py | python | GraphInterface.get_tensor_num_entries | (self, tensor_name, partial_layout=None,
mesh_dimension_to_size=None) | return num_entries | The number of entries in a tensor.
If partial_layout is specified, then mesh_dimension_to_size must also be. In
this case, the number of entries on a single device is returned.
Args:
tensor_name: a string, name of a tensor in the graph.
partial_layout: an optional {string: string}, from MTF di... | The number of entries in a tensor. | [
"The",
"number",
"of",
"entries",
"in",
"a",
"tensor",
"."
] | def get_tensor_num_entries(self, tensor_name, partial_layout=None,
mesh_dimension_to_size=None):
"""The number of entries in a tensor.
If partial_layout is specified, then mesh_dimension_to_size must also be. In
this case, the number of entries on a single device is returned.
... | [
"def",
"get_tensor_num_entries",
"(",
"self",
",",
"tensor_name",
",",
"partial_layout",
"=",
"None",
",",
"mesh_dimension_to_size",
"=",
"None",
")",
":",
"shape",
"=",
"self",
".",
"get_tensor_shape",
"(",
"tensor_name",
")",
"# We don't have to worry about divisibl... | https://github.com/tensorflow/mesh/blob/57ed4018e6a173952501b074daabad32b6449f3d/mesh_tensorflow/auto_mtf/graph_interface.py#L153-L187 | |
pinterest/mysql_utils | 7ab237699b85de8b503b09f36e0309ac807689fe | retirement_queue.py | python | get_protected_hosts | (return_type='tuple') | Get data on all protected hosts
Args:
return_type - Options are:
'set'- return a set of protected hosts
'tuple' - returns all data regarding protected hosts
Returns:
A tuple which may be empty, with entries similar to:
({'protecting_user'... | Get data on all protected hosts | [
"Get",
"data",
"on",
"all",
"protected",
"hosts"
] | def get_protected_hosts(return_type='tuple'):
""" Get data on all protected hosts
Args:
return_type - Options are:
'set'- return a set of protected hosts
'tuple' - returns all data regarding protected hosts
Returns:
A tuple which may be e... | [
"def",
"get_protected_hosts",
"(",
"return_type",
"=",
"'tuple'",
")",
":",
"if",
"return_type",
"!=",
"'tuple'",
"and",
"return_type",
"!=",
"'set'",
":",
"raise",
"Exception",
"(",
"'Unsupported return_type '",
"'{return_type}'",
".",
"format",
"(",
"return_type",... | https://github.com/pinterest/mysql_utils/blob/7ab237699b85de8b503b09f36e0309ac807689fe/retirement_queue.py#L422-L452 | ||
googleapis/python-ndb | e780c81cde1016651afbfcad8180d9912722cf1b | google/cloud/ndb/_cache.py | python | _GlobalCacheDeleteBatch.add | (self, key) | return future | Add a key to delete from the cache.
Arguments:
key (bytes): The key to delete.
Returns:
tasklets.Future: Eventual result will be ``None``. | Add a key to delete from the cache. | [
"Add",
"a",
"key",
"to",
"delete",
"from",
"the",
"cache",
"."
] | def add(self, key):
"""Add a key to delete from the cache.
Arguments:
key (bytes): The key to delete.
Returns:
tasklets.Future: Eventual result will be ``None``.
"""
future = tasklets.Future(info=self.future_info(key))
self.keys.append(key)
... | [
"def",
"add",
"(",
"self",
",",
"key",
")",
":",
"future",
"=",
"tasklets",
".",
"Future",
"(",
"info",
"=",
"self",
".",
"future_info",
"(",
"key",
")",
")",
"self",
".",
"keys",
".",
"append",
"(",
"key",
")",
"self",
".",
"futures",
".",
"appe... | https://github.com/googleapis/python-ndb/blob/e780c81cde1016651afbfcad8180d9912722cf1b/google/cloud/ndb/_cache.py#L467-L479 | |
duterscmy/ccks2019-ckbqa-4th-codes | 19784e5ffc801b0647d27286b4984e0d24087a47 | src/mention_extractor.py | python | MentionExtractor.extract_mentions | (self,question) | return entity_mention | 返回字典,实体mentions | 返回字典,实体mentions | [
"返回字典,实体mentions"
] | def extract_mentions(self,question):
'''
返回字典,实体mentions
'''
entity_mention = {}
#使用jieba粗糙分词的方式得到候选mention
mentions = []
tokens = jieba.lcut(question)
for t in tokens:
if t in self.segment_dic:
mentions.append(t)
... | [
"def",
"extract_mentions",
"(",
"self",
",",
"question",
")",
":",
"entity_mention",
"=",
"{",
"}",
"#使用jieba粗糙分词的方式得到候选mention",
"mentions",
"=",
"[",
"]",
"tokens",
"=",
"jieba",
".",
"lcut",
"(",
"question",
")",
"for",
"t",
"in",
"tokens",
":",
"if",
... | https://github.com/duterscmy/ccks2019-ckbqa-4th-codes/blob/19784e5ffc801b0647d27286b4984e0d24087a47/src/mention_extractor.py#L42-L67 | |
facebookresearch/ParlAI | e4d59c30eef44f1f67105961b82a83fd28d7d78b | parlai/utils/bpe.py | python | Gpt2BpeHelper.save | (self, dir_name: str, file_name: str) | Save appropriate files.
:param dir_name:
directory to save.
:param file_name:
file to save. | Save appropriate files. | [
"Save",
"appropriate",
"files",
"."
] | def save(self, dir_name: str, file_name: str):
"""
Save appropriate files.
:param dir_name:
directory to save.
:param file_name:
file to save.
"""
out_json_path = os.path.join(dir_name, file_name + "-vocab.json")
out_merge_path = os.path.j... | [
"def",
"save",
"(",
"self",
",",
"dir_name",
":",
"str",
",",
"file_name",
":",
"str",
")",
":",
"out_json_path",
"=",
"os",
".",
"path",
".",
"join",
"(",
"dir_name",
",",
"file_name",
"+",
"\"-vocab.json\"",
")",
"out_merge_path",
"=",
"os",
".",
"pa... | https://github.com/facebookresearch/ParlAI/blob/e4d59c30eef44f1f67105961b82a83fd28d7d78b/parlai/utils/bpe.py#L759-L777 | ||
kuri65536/python-for-android | 26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891 | python-modules/twisted/twisted/trial/reporter.py | python | Reporter._printErrors | (self) | Print all of the non-success results to the stream in full. | Print all of the non-success results to the stream in full. | [
"Print",
"all",
"of",
"the",
"non",
"-",
"success",
"results",
"to",
"the",
"stream",
"in",
"full",
"."
] | def _printErrors(self):
"""
Print all of the non-success results to the stream in full.
"""
self._write('\n')
self._printResults('[SKIPPED]', self.skips, lambda x : '%s\n' % x)
self._printResults('[TODO]', self.expectedFailures,
self._printExpec... | [
"def",
"_printErrors",
"(",
"self",
")",
":",
"self",
".",
"_write",
"(",
"'\\n'",
")",
"self",
".",
"_printResults",
"(",
"'[SKIPPED]'",
",",
"self",
".",
"skips",
",",
"lambda",
"x",
":",
"'%s\\n'",
"%",
"x",
")",
"self",
".",
"_printResults",
"(",
... | https://github.com/kuri65536/python-for-android/blob/26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891/python-modules/twisted/twisted/trial/reporter.py#L598-L611 | ||
mesalock-linux/mesapy | ed546d59a21b36feb93e2309d5c6b75aa0ad95c9 | lib-python/2.7/mutex.py | python | mutex.lock | (self, function, argument) | Lock a mutex, call the function with supplied argument
when it is acquired. If the mutex is already locked, place
function and argument in the queue. | Lock a mutex, call the function with supplied argument
when it is acquired. If the mutex is already locked, place
function and argument in the queue. | [
"Lock",
"a",
"mutex",
"call",
"the",
"function",
"with",
"supplied",
"argument",
"when",
"it",
"is",
"acquired",
".",
"If",
"the",
"mutex",
"is",
"already",
"locked",
"place",
"function",
"and",
"argument",
"in",
"the",
"queue",
"."
] | def lock(self, function, argument):
"""Lock a mutex, call the function with supplied argument
when it is acquired. If the mutex is already locked, place
function and argument in the queue."""
if self.testandset():
function(argument)
else:
self.queue.appen... | [
"def",
"lock",
"(",
"self",
",",
"function",
",",
"argument",
")",
":",
"if",
"self",
".",
"testandset",
"(",
")",
":",
"function",
"(",
"argument",
")",
"else",
":",
"self",
".",
"queue",
".",
"append",
"(",
"(",
"function",
",",
"argument",
")",
... | https://github.com/mesalock-linux/mesapy/blob/ed546d59a21b36feb93e2309d5c6b75aa0ad95c9/lib-python/2.7/mutex.py#L39-L46 | ||
carla-simulator/scenario_runner | f4d00d88eda4212a1e119515c96281a4be5c234e | srunner/scenarios/object_crash_vehicle.py | python | StationaryObjectCrossing._create_test_criteria | (self) | return criteria | A list of all test criteria will be created that is later used
in parallel behavior tree. | A list of all test criteria will be created that is later used
in parallel behavior tree. | [
"A",
"list",
"of",
"all",
"test",
"criteria",
"will",
"be",
"created",
"that",
"is",
"later",
"used",
"in",
"parallel",
"behavior",
"tree",
"."
] | def _create_test_criteria(self):
"""
A list of all test criteria will be created that is later used
in parallel behavior tree.
"""
criteria = []
collision_criterion = CollisionTest(self.ego_vehicles[0])
criteria.append(collision_criterion)
return criteri... | [
"def",
"_create_test_criteria",
"(",
"self",
")",
":",
"criteria",
"=",
"[",
"]",
"collision_criterion",
"=",
"CollisionTest",
"(",
"self",
".",
"ego_vehicles",
"[",
"0",
"]",
")",
"criteria",
".",
"append",
"(",
"collision_criterion",
")",
"return",
"criteria... | https://github.com/carla-simulator/scenario_runner/blob/f4d00d88eda4212a1e119515c96281a4be5c234e/srunner/scenarios/object_crash_vehicle.py#L109-L119 | |
edgewall/trac | beb3e4eaf1e0a456d801a50a8614ecab06de29fc | trac/util/html.py | python | TracHTMLSanitizer.sanitize | (self, html) | return Markup(transform.out.getvalue()) | Transforms the incoming HTML by removing anything's that deemed
unsafe.
:param html: the input HTML
:type: str
:return: the sanitized content
:rtype: Markup | Transforms the incoming HTML by removing anything's that deemed
unsafe. | [
"Transforms",
"the",
"incoming",
"HTML",
"by",
"removing",
"anything",
"s",
"that",
"deemed",
"unsafe",
"."
] | def sanitize(self, html):
"""Transforms the incoming HTML by removing anything's that deemed
unsafe.
:param html: the input HTML
:type: str
:return: the sanitized content
:rtype: Markup
"""
transform = HTMLSanitization(self, io.StringIO())
transf... | [
"def",
"sanitize",
"(",
"self",
",",
"html",
")",
":",
"transform",
"=",
"HTMLSanitization",
"(",
"self",
",",
"io",
".",
"StringIO",
"(",
")",
")",
"transform",
".",
"feed",
"(",
"html",
")",
"transform",
".",
"close",
"(",
")",
"return",
"Markup",
... | https://github.com/edgewall/trac/blob/beb3e4eaf1e0a456d801a50a8614ecab06de29fc/trac/util/html.py#L608-L621 | |
a312863063/seeprettyface-generator-yellow | c75b95b56c40036d00b35f3e140cc4a45598e077 | dnnlib/tflib/network.py | python | Network._init_graph | (self) | [] | def _init_graph(self) -> None:
# Collect inputs.
self.input_names = []
for param in inspect.signature(self._build_func).parameters.values():
if param.kind == param.POSITIONAL_OR_KEYWORD and param.default is param.empty:
self.input_names.append(param.name)
se... | [
"def",
"_init_graph",
"(",
"self",
")",
"->",
"None",
":",
"# Collect inputs.",
"self",
".",
"input_names",
"=",
"[",
"]",
"for",
"param",
"in",
"inspect",
".",
"signature",
"(",
"self",
".",
"_build_func",
")",
".",
"parameters",
".",
"values",
"(",
")"... | https://github.com/a312863063/seeprettyface-generator-yellow/blob/c75b95b56c40036d00b35f3e140cc4a45598e077/dnnlib/tflib/network.py#L126-L186 | ||||
WerWolv/EdiZon_CheatsConfigsAndScripts | d16d36c7509c01dca770f402babd83ff2e9ae6e7 | Scripts/lib/python3.5/lzma.py | python | LZMAFile.writable | (self) | return self._mode == _MODE_WRITE | Return whether the file was opened for writing. | Return whether the file was opened for writing. | [
"Return",
"whether",
"the",
"file",
"was",
"opened",
"for",
"writing",
"."
] | def writable(self):
"""Return whether the file was opened for writing."""
self._check_not_closed()
return self._mode == _MODE_WRITE | [
"def",
"writable",
"(",
"self",
")",
":",
"self",
".",
"_check_not_closed",
"(",
")",
"return",
"self",
".",
"_mode",
"==",
"_MODE_WRITE"
] | https://github.com/WerWolv/EdiZon_CheatsConfigsAndScripts/blob/d16d36c7509c01dca770f402babd83ff2e9ae6e7/Scripts/lib/python3.5/lzma.py#L175-L178 | |
xuanzebi/BERT-CH-NER | 24bf95411e831281ffc6c13f3ea9382870a17d64 | bert-master/extract_features.py | python | input_fn_builder | (features, seq_length) | return input_fn | Creates an `input_fn` closure to be passed to TPUEstimator. | Creates an `input_fn` closure to be passed to TPUEstimator. | [
"Creates",
"an",
"input_fn",
"closure",
"to",
"be",
"passed",
"to",
"TPUEstimator",
"."
] | def input_fn_builder(features, seq_length):
"""Creates an `input_fn` closure to be passed to TPUEstimator."""
all_unique_ids = []
all_input_ids = []
all_input_mask = []
all_input_type_ids = []
for feature in features:
all_unique_ids.append(feature.unique_id)
all_input_ids.append(feature.input_ids)... | [
"def",
"input_fn_builder",
"(",
"features",
",",
"seq_length",
")",
":",
"all_unique_ids",
"=",
"[",
"]",
"all_input_ids",
"=",
"[",
"]",
"all_input_mask",
"=",
"[",
"]",
"all_input_type_ids",
"=",
"[",
"]",
"for",
"feature",
"in",
"features",
":",
"all_uniq... | https://github.com/xuanzebi/BERT-CH-NER/blob/24bf95411e831281ffc6c13f3ea9382870a17d64/bert-master/extract_features.py#L100-L145 | |
Nuitka/Nuitka | 39262276993757fa4e299f497654065600453fc9 | nuitka/build/inline_copy/lib/scons-3.1.2/SCons/Node/FS.py | python | Dir.glob | (self, pathname, ondisk=True, source=False, strings=False, exclude=None) | return sorted(result, key=lambda a: str(a)) | Returns a list of Nodes (or strings) matching a specified
pathname pattern.
Pathname patterns follow UNIX shell semantics: * matches
any-length strings of any characters, ? matches any character,
and [] can enclose lists or ranges of characters. Matches do
not span directory s... | Returns a list of Nodes (or strings) matching a specified
pathname pattern. | [
"Returns",
"a",
"list",
"of",
"Nodes",
"(",
"or",
"strings",
")",
"matching",
"a",
"specified",
"pathname",
"pattern",
"."
] | def glob(self, pathname, ondisk=True, source=False, strings=False, exclude=None):
"""
Returns a list of Nodes (or strings) matching a specified
pathname pattern.
Pathname patterns follow UNIX shell semantics: * matches
any-length strings of any characters, ? matches any charact... | [
"def",
"glob",
"(",
"self",
",",
"pathname",
",",
"ondisk",
"=",
"True",
",",
"source",
"=",
"False",
",",
"strings",
"=",
"False",
",",
"exclude",
"=",
"None",
")",
":",
"dirname",
",",
"basename",
"=",
"os",
".",
"path",
".",
"split",
"(",
"pathn... | https://github.com/Nuitka/Nuitka/blob/39262276993757fa4e299f497654065600453fc9/nuitka/build/inline_copy/lib/scons-3.1.2/SCons/Node/FS.py#L2131-L2189 | |
biopython/biopython | 2dd97e71762af7b046d7f7f8a4f1e38db6b06c86 | Bio/Align/__init__.py | python | Alignment.__getitem__ | (self, key) | Return self[key].
Indices of the form
self[:, :]
return a copy of the Alignment object;
self[:, i:]
self[:, :j]
self[:, i:j]
self[:, iterable] (where iterable returns integers)
return a new Alignment object spanning the selected columns;
self... | Return self[key]. | [
"Return",
"self",
"[",
"key",
"]",
"."
] | def __getitem__(self, key):
"""Return self[key].
Indices of the form
self[:, :]
return a copy of the Alignment object;
self[:, i:]
self[:, :j]
self[:, i:j]
self[:, iterable] (where iterable returns integers)
return a new Alignment object spann... | [
"def",
"__getitem__",
"(",
"self",
",",
"key",
")",
":",
"import",
"numpy",
"if",
"isinstance",
"(",
"key",
",",
"slice",
")",
":",
"if",
"key",
".",
"indices",
"(",
"len",
"(",
"self",
")",
")",
"==",
"(",
"0",
",",
"2",
",",
"1",
")",
":",
... | https://github.com/biopython/biopython/blob/2dd97e71762af7b046d7f7f8a4f1e38db6b06c86/Bio/Align/__init__.py#L1245-L1592 | ||
networkx/networkx | 1620568e36702b1cfeaf1c0277b167b6cb93e48d | networkx/algorithms/isomorphism/ismags.py | python | ISMAGS._find_node_edge_color | (graph, node_colors, edge_colors) | return node_edge_colors | For every node in graph, come up with a color that combines 1) the
color of the node, and 2) the number of edges of a color to each type
of node. | For every node in graph, come up with a color that combines 1) the
color of the node, and 2) the number of edges of a color to each type
of node. | [
"For",
"every",
"node",
"in",
"graph",
"come",
"up",
"with",
"a",
"color",
"that",
"combines",
"1",
")",
"the",
"color",
"of",
"the",
"node",
"and",
"2",
")",
"the",
"number",
"of",
"edges",
"of",
"a",
"color",
"to",
"each",
"type",
"of",
"node",
"... | def _find_node_edge_color(graph, node_colors, edge_colors):
"""
For every node in graph, come up with a color that combines 1) the
color of the node, and 2) the number of edges of a color to each type
of node.
"""
counts = defaultdict(lambda: defaultdict(int))
for... | [
"def",
"_find_node_edge_color",
"(",
"graph",
",",
"node_colors",
",",
"edge_colors",
")",
":",
"counts",
"=",
"defaultdict",
"(",
"lambda",
":",
"defaultdict",
"(",
"int",
")",
")",
"for",
"node1",
",",
"node2",
"in",
"graph",
".",
"edges",
":",
"if",
"... | https://github.com/networkx/networkx/blob/1620568e36702b1cfeaf1c0277b167b6cb93e48d/networkx/algorithms/isomorphism/ismags.py#L688-L710 | |
quantumlib/Cirq | 89f88b01d69222d3f1ec14d649b7b3a85ed9211f | cirq-google/cirq_google/engine/engine_client.py | python | EngineClient.remove_job_labels | (
self, project_id: str, program_id: str, job_id: str, label_keys: List[str]
) | return job | Removes labels with given keys from the labels of a previously
created quantum job.
Args:
project_id: A project_id of the parent Google Cloud Project.
program_id: Unique ID of the program within the parent project.
job_id: Unique ID of the job within the parent progr... | Removes labels with given keys from the labels of a previously
created quantum job. | [
"Removes",
"labels",
"with",
"given",
"keys",
"from",
"the",
"labels",
"of",
"a",
"previously",
"created",
"quantum",
"job",
"."
] | def remove_job_labels(
self, project_id: str, program_id: str, job_id: str, label_keys: List[str]
) -> qtypes.QuantumJob:
"""Removes labels with given keys from the labels of a previously
created quantum job.
Args:
project_id: A project_id of the parent Google Cloud Proj... | [
"def",
"remove_job_labels",
"(",
"self",
",",
"project_id",
":",
"str",
",",
"program_id",
":",
"str",
",",
"job_id",
":",
"str",
",",
"label_keys",
":",
"List",
"[",
"str",
"]",
")",
"->",
"qtypes",
".",
"QuantumJob",
":",
"job",
"=",
"self",
".",
"... | https://github.com/quantumlib/Cirq/blob/89f88b01d69222d3f1ec14d649b7b3a85ed9211f/cirq-google/cirq_google/engine/engine_client.py#L536-L559 | |
numenta/nupic | b9ebedaf54f49a33de22d8d44dff7c765cdb5548 | external/linux32/lib/python2.6/site-packages/pkg_resources.py | python | Environment.obtain | (self, requirement, installer=None) | Obtain a distribution matching `requirement` (e.g. via download)
Obtain a distro that matches requirement (e.g. via download). In the
base ``Environment`` class, this routine just returns
``installer(requirement)``, unless `installer` is None, in which case
None is returned instead. T... | Obtain a distribution matching `requirement` (e.g. via download) | [
"Obtain",
"a",
"distribution",
"matching",
"requirement",
"(",
"e",
".",
"g",
".",
"via",
"download",
")"
] | def obtain(self, requirement, installer=None):
"""Obtain a distribution matching `requirement` (e.g. via download)
Obtain a distro that matches requirement (e.g. via download). In the
base ``Environment`` class, this routine just returns
``installer(requirement)``, unless `installer` i... | [
"def",
"obtain",
"(",
"self",
",",
"requirement",
",",
"installer",
"=",
"None",
")",
":",
"if",
"installer",
"is",
"not",
"None",
":",
"return",
"installer",
"(",
"requirement",
")"
] | https://github.com/numenta/nupic/blob/b9ebedaf54f49a33de22d8d44dff7c765cdb5548/external/linux32/lib/python2.6/site-packages/pkg_resources.py#L760-L770 | ||
mozilla/treeherder | 228750c5774cfbe7d395e10e2c84665d9122496d | treeherder/services/pulse/exchange.py | python | get_exchange | (connection, name, create=False) | return bound_exchange | Get a Kombu Exchange object using the passed in name.
Can create an Exchange but this is typically not wanted in production-like
environments and only useful for testing. | Get a Kombu Exchange object using the passed in name. | [
"Get",
"a",
"Kombu",
"Exchange",
"object",
"using",
"the",
"passed",
"in",
"name",
"."
] | def get_exchange(connection, name, create=False):
"""
Get a Kombu Exchange object using the passed in name.
Can create an Exchange but this is typically not wanted in production-like
environments and only useful for testing.
"""
exchange = Exchange(name, type="topic", passive=not create)
#... | [
"def",
"get_exchange",
"(",
"connection",
",",
"name",
",",
"create",
"=",
"False",
")",
":",
"exchange",
"=",
"Exchange",
"(",
"name",
",",
"type",
"=",
"\"topic\"",
",",
"passive",
"=",
"not",
"create",
")",
"# bind the exchange to our connection so operations... | https://github.com/mozilla/treeherder/blob/228750c5774cfbe7d395e10e2c84665d9122496d/treeherder/services/pulse/exchange.py#L4-L20 | |
KhronosGroup/glTF-Blender-Exporter | dd7a3dbd8f43a79d572e7c45f4215f770bb92a37 | scripts/addons/io_scene_gltf2/gltf2_get.py | python | get_light_index | (glTF, name) | return -1 | Return the light index in the glTF array. | Return the light index in the glTF array. | [
"Return",
"the",
"light",
"index",
"in",
"the",
"glTF",
"array",
"."
] | def get_light_index(glTF, name):
"""
Return the light index in the glTF array.
"""
if glTF.get('extensions') is None:
return -1
extensions = glTF['extensions']
if extensions.get('KHR_lights') is None:
return -1
khr_lights = extensions['KHR_lights']
if... | [
"def",
"get_light_index",
"(",
"glTF",
",",
"name",
")",
":",
"if",
"glTF",
".",
"get",
"(",
"'extensions'",
")",
"is",
"None",
":",
"return",
"-",
"1",
"extensions",
"=",
"glTF",
"[",
"'extensions'",
"]",
"if",
"extensions",
".",
"get",
"(",
"'KHR_lig... | https://github.com/KhronosGroup/glTF-Blender-Exporter/blob/dd7a3dbd8f43a79d572e7c45f4215f770bb92a37/scripts/addons/io_scene_gltf2/gltf2_get.py#L287-L314 | |
holoviz/holoviews | cc6b27f01710402fdfee2aeef1507425ca78c91f | holoviews/core/spaces.py | python | HoloMap.overlay | (self, dimensions=None, **kwargs) | Group by supplied dimension(s) and overlay each group
Groups data by supplied dimension(s) overlaying the groups
along the dimension(s).
Args:
dimensions: Dimension(s) of dimensions to group by
Returns:
NdOverlay object(s) with supplied dimensions | Group by supplied dimension(s) and overlay each group | [
"Group",
"by",
"supplied",
"dimension",
"(",
"s",
")",
"and",
"overlay",
"each",
"group"
] | def overlay(self, dimensions=None, **kwargs):
"""Group by supplied dimension(s) and overlay each group
Groups data by supplied dimension(s) overlaying the groups
along the dimension(s).
Args:
dimensions: Dimension(s) of dimensions to group by
Returns:
N... | [
"def",
"overlay",
"(",
"self",
",",
"dimensions",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"dimensions",
"=",
"self",
".",
"_valid_dimensions",
"(",
"dimensions",
")",
"if",
"len",
"(",
"dimensions",
")",
"==",
"self",
".",
"ndims",
":",
"with",... | https://github.com/holoviz/holoviews/blob/cc6b27f01710402fdfee2aeef1507425ca78c91f/holoviews/core/spaces.py#L47-L65 | ||
ruotianluo/Image_Captioning_AI_Challenger | ad230614efb8b964b4ced49a3622f4585d4de1cc | scripts/prepro_ngrams.py | python | cook_refs | (refs, n=4) | return [precook(ref, n) for ref in refs] | Takes a list of reference sentences for a single segment
and returns an object that encapsulates everything that BLEU
needs to know about them.
:param refs: list of string : reference sentences for some image
:param n: int : number of ngrams for which (ngram) representation is calculated
:return: re... | Takes a list of reference sentences for a single segment
and returns an object that encapsulates everything that BLEU
needs to know about them.
:param refs: list of string : reference sentences for some image
:param n: int : number of ngrams for which (ngram) representation is calculated
:return: re... | [
"Takes",
"a",
"list",
"of",
"reference",
"sentences",
"for",
"a",
"single",
"segment",
"and",
"returns",
"an",
"object",
"that",
"encapsulates",
"everything",
"that",
"BLEU",
"needs",
"to",
"know",
"about",
"them",
".",
":",
"param",
"refs",
":",
"list",
"... | def cook_refs(refs, n=4): ## lhuang: oracle will call with "average"
'''Takes a list of reference sentences for a single segment
and returns an object that encapsulates everything that BLEU
needs to know about them.
:param refs: list of string : reference sentences for some image
:param n: int : num... | [
"def",
"cook_refs",
"(",
"refs",
",",
"n",
"=",
"4",
")",
":",
"## lhuang: oracle will call with \"average\"",
"return",
"[",
"precook",
"(",
"ref",
",",
"n",
")",
"for",
"ref",
"in",
"refs",
"]"
] | https://github.com/ruotianluo/Image_Captioning_AI_Challenger/blob/ad230614efb8b964b4ced49a3622f4585d4de1cc/scripts/prepro_ngrams.py#L49-L57 | |
mila-iqia/myia | 56774a39579b4ec4123f44843ad4ca688acc859b | myia/monomorphize.py | python | _MonoRemapper.__init__ | (
self,
graphs,
inlines,
manager,
relation,
graph_relation,
clone_constants,
engine,
graph_repl,
fv_function,
) | Initialize the _MonoRemapper. | Initialize the _MonoRemapper. | [
"Initialize",
"the",
"_MonoRemapper",
"."
] | def __init__(
self,
graphs,
inlines,
manager,
relation,
graph_relation,
clone_constants,
engine,
graph_repl,
fv_function,
):
"""Initialize the _MonoRemapper."""
super().__init__(
graphs=graphs,
in... | [
"def",
"__init__",
"(",
"self",
",",
"graphs",
",",
"inlines",
",",
"manager",
",",
"relation",
",",
"graph_relation",
",",
"clone_constants",
",",
"engine",
",",
"graph_repl",
",",
"fv_function",
",",
")",
":",
"super",
"(",
")",
".",
"__init__",
"(",
"... | https://github.com/mila-iqia/myia/blob/56774a39579b4ec4123f44843ad4ca688acc859b/myia/monomorphize.py#L739-L763 | ||
Tautulli/Tautulli | 2410eb33805aaac4bd1c5dad0f71e4f15afaf742 | lib/pyparsing/core.py | python | ParseExpression.ignore_whitespace | (self, recursive=True) | return self | Extends ``ignore_whitespace`` defined in base class, and also invokes ``leave_whitespace`` on
all contained expressions. | Extends ``ignore_whitespace`` defined in base class, and also invokes ``leave_whitespace`` on
all contained expressions. | [
"Extends",
"ignore_whitespace",
"defined",
"in",
"base",
"class",
"and",
"also",
"invokes",
"leave_whitespace",
"on",
"all",
"contained",
"expressions",
"."
] | def ignore_whitespace(self, recursive=True):
"""
Extends ``ignore_whitespace`` defined in base class, and also invokes ``leave_whitespace`` on
all contained expressions.
"""
super().ignore_whitespace(recursive)
if recursive:
self.exprs = [e.copy() for e in ... | [
"def",
"ignore_whitespace",
"(",
"self",
",",
"recursive",
"=",
"True",
")",
":",
"super",
"(",
")",
".",
"ignore_whitespace",
"(",
"recursive",
")",
"if",
"recursive",
":",
"self",
".",
"exprs",
"=",
"[",
"e",
".",
"copy",
"(",
")",
"for",
"e",
"in"... | https://github.com/Tautulli/Tautulli/blob/2410eb33805aaac4bd1c5dad0f71e4f15afaf742/lib/pyparsing/core.py#L3619-L3629 | |
garnaat/kappa | a06a0047cc51f6a210beec4028a5fbe8ebcd5c53 | kappa/restapi.py | python | RestApi.api_exists | (self) | return self._get_api() | [] | def api_exists(self):
return self._get_api() | [
"def",
"api_exists",
"(",
"self",
")",
":",
"return",
"self",
".",
"_get_api",
"(",
")"
] | https://github.com/garnaat/kappa/blob/a06a0047cc51f6a210beec4028a5fbe8ebcd5c53/kappa/restapi.py#L197-L198 | |||
tobegit3hub/deep_image_model | 8a53edecd9e00678b278bb10f6fb4bdb1e4ee25e | java_predict_client/src/main/proto/tensorflow/python/ops/gradients_impl.py | python | _MultiDeviceAddN | (tensor_list) | return math_ops.add_n(summands) | Adds tensors from potentially multiple devices. | Adds tensors from potentially multiple devices. | [
"Adds",
"tensors",
"from",
"potentially",
"multiple",
"devices",
"."
] | def _MultiDeviceAddN(tensor_list):
"""Adds tensors from potentially multiple devices."""
# Basic function structure comes from control_flow_ops.group().
# Sort tensors according to their devices.
tensors_on_device = collections.defaultdict(lambda: [])
for tensor in tensor_list:
tensors_on_device[tensor.de... | [
"def",
"_MultiDeviceAddN",
"(",
"tensor_list",
")",
":",
"# Basic function structure comes from control_flow_ops.group().",
"# Sort tensors according to their devices.",
"tensors_on_device",
"=",
"collections",
".",
"defaultdict",
"(",
"lambda",
":",
"[",
"]",
")",
"for",
"te... | https://github.com/tobegit3hub/deep_image_model/blob/8a53edecd9e00678b278bb10f6fb4bdb1e4ee25e/java_predict_client/src/main/proto/tensorflow/python/ops/gradients_impl.py#L638-L660 | |
wikimedia/pywikibot | 81a01ffaec7271bf5b4b170f85a80388420a4e78 | scripts/welcome.py | python | WelcomeBot.define_sign | (self, force=False) | return self._random_signature | Setup signature. | Setup signature. | [
"Setup",
"signature",
"."
] | def define_sign(self, force=False) -> List[str]:
"""Setup signature."""
if hasattr(self, '_random_signature') and not force:
return self._random_signature
sign_text = ''
creg = re.compile(r'^\* ?(.*?)$', re.M)
if not globalvar.sign_file_name:
sign_page_na... | [
"def",
"define_sign",
"(",
"self",
",",
"force",
"=",
"False",
")",
"->",
"List",
"[",
"str",
"]",
":",
"if",
"hasattr",
"(",
"self",
",",
"'_random_signature'",
")",
"and",
"not",
"force",
":",
"return",
"self",
".",
"_random_signature",
"sign_text",
"=... | https://github.com/wikimedia/pywikibot/blob/81a01ffaec7271bf5b4b170f85a80388420a4e78/scripts/welcome.py#L727-L768 | |
twke18/Adaptive_Affinity_Fields | 8488aa6ad16022ab4b89fb8626386997559cb951 | pyscripts/train/train_affinity_mgpu.py | python | save | (saver, sess, logdir, step) | Save the trained weights.
Args:
saver: TensorFlow Saver object.
sess: TensorFlow session.
logdir: path to the snapshots directory.
step: current training step. | Save the trained weights.
Args:
saver: TensorFlow Saver object.
sess: TensorFlow session.
logdir: path to the snapshots directory.
step: current training step. | [
"Save",
"the",
"trained",
"weights",
".",
"Args",
":",
"saver",
":",
"TensorFlow",
"Saver",
"object",
".",
"sess",
":",
"TensorFlow",
"session",
".",
"logdir",
":",
"path",
"to",
"the",
"snapshots",
"directory",
".",
"step",
":",
"current",
"training",
"st... | def save(saver, sess, logdir, step):
"""Save the trained weights.
Args:
saver: TensorFlow Saver object.
sess: TensorFlow session.
logdir: path to the snapshots directory.
step: current training step.
"""
model_name = 'model.ckpt'
checkpoint_path = os.path.join(logdir, model_name)
if... | [
"def",
"save",
"(",
"saver",
",",
"sess",
",",
"logdir",
",",
"step",
")",
":",
"model_name",
"=",
"'model.ckpt'",
"checkpoint_path",
"=",
"os",
".",
"path",
".",
"join",
"(",
"logdir",
",",
"model_name",
")",
"if",
"not",
"os",
".",
"path",
".",
"ex... | https://github.com/twke18/Adaptive_Affinity_Fields/blob/8488aa6ad16022ab4b89fb8626386997559cb951/pyscripts/train/train_affinity_mgpu.py#L89-L104 | ||
fzlee/alipay | 0f8eab30fea7adb43284182cc6bcac08f51b2e08 | alipay/__init__.py | python | DCAliPay.load_alipay_public_key_string | (self) | return OpenSSL.crypto.dump_publickey(
OpenSSL.crypto.FILETYPE_PEM, cert.get_pubkey()
).decode("utf-8") | [] | def load_alipay_public_key_string(self):
cert = OpenSSL.crypto.load_certificate(
OpenSSL.crypto.FILETYPE_PEM, self._alipay_public_key_cert_string
)
return OpenSSL.crypto.dump_publickey(
OpenSSL.crypto.FILETYPE_PEM, cert.get_pubkey()
).decode("utf-8") | [
"def",
"load_alipay_public_key_string",
"(",
"self",
")",
":",
"cert",
"=",
"OpenSSL",
".",
"crypto",
".",
"load_certificate",
"(",
"OpenSSL",
".",
"crypto",
".",
"FILETYPE_PEM",
",",
"self",
".",
"_alipay_public_key_cert_string",
")",
"return",
"OpenSSL",
".",
... | https://github.com/fzlee/alipay/blob/0f8eab30fea7adb43284182cc6bcac08f51b2e08/alipay/__init__.py#L691-L697 | |||
home-assistant/core | 265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1 | homeassistant/components/acmeda/sensor.py | python | AcmedaBattery.name | (self) | return f"{super().name} Battery" | Return the name of roller. | Return the name of roller. | [
"Return",
"the",
"name",
"of",
"roller",
"."
] | def name(self):
"""Return the name of roller."""
return f"{super().name} Battery" | [
"def",
"name",
"(",
"self",
")",
":",
"return",
"f\"{super().name} Battery\""
] | https://github.com/home-assistant/core/blob/265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1/homeassistant/components/acmeda/sensor.py#L48-L50 | |
andresriancho/w3af | cd22e5252243a87aaa6d0ddea47cf58dacfe00a9 | w3af/plugins/attack/db/sqlmap/lib/utils/hash.py | python | vbulletin_passwd | (password, salt, **kwargs) | return "%s:%s" % (md5("%s%s" % (md5(password).hexdigest(), salt)).hexdigest(), salt) | Reference: https://stackoverflow.com/a/2202810
>>> vbulletin_passwd(password='testpass', salt='salt')
'85c4d8ea77ebef2236fb7e9d24ba9482:salt' | Reference: https://stackoverflow.com/a/2202810 | [
"Reference",
":",
"https",
":",
"//",
"stackoverflow",
".",
"com",
"/",
"a",
"/",
"2202810"
] | def vbulletin_passwd(password, salt, **kwargs):
"""
Reference: https://stackoverflow.com/a/2202810
>>> vbulletin_passwd(password='testpass', salt='salt')
'85c4d8ea77ebef2236fb7e9d24ba9482:salt'
"""
return "%s:%s" % (md5("%s%s" % (md5(password).hexdigest(), salt)).hexdigest(), salt) | [
"def",
"vbulletin_passwd",
"(",
"password",
",",
"salt",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"\"%s:%s\"",
"%",
"(",
"md5",
"(",
"\"%s%s\"",
"%",
"(",
"md5",
"(",
"password",
")",
".",
"hexdigest",
"(",
")",
",",
"salt",
")",
")",
".",
"hex... | https://github.com/andresriancho/w3af/blob/cd22e5252243a87aaa6d0ddea47cf58dacfe00a9/w3af/plugins/attack/db/sqlmap/lib/utils/hash.py#L449-L457 | |
FederatedAI/FATE | 32540492623568ecd1afcb367360133616e02fa3 | python/federatedml/util/sample_weight.py | python | SampleWeight.transform_weighted_instance | (self, data_instances, weight_loc) | return SampleWeight.assign_sample_weight(data_instances, self.class_weight_dict, weight_loc, self.normalize) | [] | def transform_weighted_instance(self, data_instances, weight_loc):
if self.class_weight and self.class_weight == 'balanced':
self.class_weight_dict = SampleWeight.get_class_weight(data_instances)
else:
if self.class_weight_dict is None:
self.class_weight_dict = se... | [
"def",
"transform_weighted_instance",
"(",
"self",
",",
"data_instances",
",",
"weight_loc",
")",
":",
"if",
"self",
".",
"class_weight",
"and",
"self",
".",
"class_weight",
"==",
"'balanced'",
":",
"self",
".",
"class_weight_dict",
"=",
"SampleWeight",
".",
"ge... | https://github.com/FederatedAI/FATE/blob/32540492623568ecd1afcb367360133616e02fa3/python/federatedml/util/sample_weight.py#L102-L108 | |||
MichiganCOG/ViP | 74776f2575bd5339ba39c784bbda4f04cc859add | train.py | python | train | (**args) | Evaluate selected model
Args:
rerun (Int): Integer indicating number of repetitions for the select experiment
seed (Int): Integer indicating set seed for random state
save_dir (String): Top level directory to generate results folder
model ... | Evaluate selected model
Args:
rerun (Int): Integer indicating number of repetitions for the select experiment
seed (Int): Integer indicating set seed for random state
save_dir (String): Top level directory to generate results folder
model ... | [
"Evaluate",
"selected",
"model",
"Args",
":",
"rerun",
"(",
"Int",
")",
":",
"Integer",
"indicating",
"number",
"of",
"repetitions",
"for",
"the",
"select",
"experiment",
"seed",
"(",
"Int",
")",
":",
"Integer",
"indicating",
"set",
"seed",
"for",
"random",
... | def train(**args):
"""
Evaluate selected model
Args:
rerun (Int): Integer indicating number of repetitions for the select experiment
seed (Int): Integer indicating set seed for random state
save_dir (String): Top level directory to generate resu... | [
"def",
"train",
"(",
"*",
"*",
"args",
")",
":",
"print",
"(",
"\"\\n############################################################################\\n\"",
")",
"print",
"(",
"\"Experimental Setup: \"",
",",
"args",
")",
"print",
"(",
"\"\\n######################################... | https://github.com/MichiganCOG/ViP/blob/74776f2575bd5339ba39c784bbda4f04cc859add/train.py#L21-L252 | ||
telegraphic/hickle | a5aac2db4e236d90990e3387c5822b466e8e84fa | hickle/loaders/load_numpy.py | python | create_np_scalar_dataset | (py_obj, h_group, name, **kwargs) | return d,() | dumps an numpy.dtype object to h5py file
Parameters
----------
py_obj (numpy.scalar):
python object to dump; should be a numpy scalar, e.g. numpy.float16(1)
h_group (h5.File.group):
group to dump data into.
name (str):
the name of the resulting dataset
kwargs (dict)... | dumps an numpy.dtype object to h5py file | [
"dumps",
"an",
"numpy",
".",
"dtype",
"object",
"to",
"h5py",
"file"
] | def create_np_scalar_dataset(py_obj, h_group, name, **kwargs):
""" dumps an numpy.dtype object to h5py file
Parameters
----------
py_obj (numpy.scalar):
python object to dump; should be a numpy scalar, e.g. numpy.float16(1)
h_group (h5.File.group):
group to dump data into.
na... | [
"def",
"create_np_scalar_dataset",
"(",
"py_obj",
",",
"h_group",
",",
"name",
",",
"*",
"*",
"kwargs",
")",
":",
"d",
"=",
"h_group",
".",
"create_dataset",
"(",
"name",
",",
"data",
"=",
"py_obj",
",",
"*",
"*",
"no_compression",
"(",
"kwargs",
")",
... | https://github.com/telegraphic/hickle/blob/a5aac2db4e236d90990e3387c5822b466e8e84fa/hickle/loaders/load_numpy.py#L21-L46 | |
avalonstrel/GatedConvolution_pytorch | 0a49013a70e77cc484ab45a5da535c2ac003b252 | data/base_dataset.py | python | NoriBaseDataset.__len__ | (self) | return len(self.nori_list) | [] | def __len__(self):
return len(self.nori_list) | [
"def",
"__len__",
"(",
"self",
")",
":",
"return",
"len",
"(",
"self",
".",
"nori_list",
")"
] | https://github.com/avalonstrel/GatedConvolution_pytorch/blob/0a49013a70e77cc484ab45a5da535c2ac003b252/data/base_dataset.py#L70-L71 | |||
tobegit3hub/deep_image_model | 8a53edecd9e00678b278bb10f6fb4bdb1e4ee25e | java_predict_client/src/main/proto/tensorflow/contrib/distributions/python/ops/normal.py | python | _kl_normal_normal | (n_a, n_b, name=None) | Calculate the batched KL divergence KL(n_a || n_b) with n_a and n_b Normal.
Args:
n_a: instance of a Normal distribution object.
n_b: instance of a Normal distribution object.
name: (optional) Name to use for created operations.
default is "kl_normal_normal".
Returns:
Batchwise KL(n_a || n_b... | Calculate the batched KL divergence KL(n_a || n_b) with n_a and n_b Normal. | [
"Calculate",
"the",
"batched",
"KL",
"divergence",
"KL",
"(",
"n_a",
"||",
"n_b",
")",
"with",
"n_a",
"and",
"n_b",
"Normal",
"."
] | def _kl_normal_normal(n_a, n_b, name=None):
"""Calculate the batched KL divergence KL(n_a || n_b) with n_a and n_b Normal.
Args:
n_a: instance of a Normal distribution object.
n_b: instance of a Normal distribution object.
name: (optional) Name to use for created operations.
default is "kl_normal... | [
"def",
"_kl_normal_normal",
"(",
"n_a",
",",
"n_b",
",",
"name",
"=",
"None",
")",
":",
"with",
"ops",
".",
"name_scope",
"(",
"name",
",",
"\"kl_normal_normal\"",
",",
"[",
"n_a",
".",
"mu",
",",
"n_b",
".",
"mu",
"]",
")",
":",
"one",
"=",
"const... | https://github.com/tobegit3hub/deep_image_model/blob/8a53edecd9e00678b278bb10f6fb4bdb1e4ee25e/java_predict_client/src/main/proto/tensorflow/contrib/distributions/python/ops/normal.py#L229-L249 | ||
TencentCloud/tencentcloud-sdk-python | 3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2 | tencentcloud/vm/v20201229/models.py | python | AudioResultDetailMoanResult.__init__ | (self) | r"""
:param Label: 该字段用于返回检测结果需要检测的内容类型,此处固定为**Moan**(呻吟)以调用呻吟检测功能。
注意:此字段可能返回 null,表示取不到有效值。
:type Label: str
:param Score: 该字段用于返回呻吟检测的置信度,取值范围:0(**置信度最低**)-100(**置信度最高**),越高代表音频越有可能属于呻吟内容。
:type Score: int
:param StartTime: 该字段用于返回对应呻吟标签的片段在音频文件内的开始时间,单位为毫秒。
:type Star... | r"""
:param Label: 该字段用于返回检测结果需要检测的内容类型,此处固定为**Moan**(呻吟)以调用呻吟检测功能。
注意:此字段可能返回 null,表示取不到有效值。
:type Label: str
:param Score: 该字段用于返回呻吟检测的置信度,取值范围:0(**置信度最低**)-100(**置信度最高**),越高代表音频越有可能属于呻吟内容。
:type Score: int
:param StartTime: 该字段用于返回对应呻吟标签的片段在音频文件内的开始时间,单位为毫秒。
:type Star... | [
"r",
":",
"param",
"Label",
":",
"该字段用于返回检测结果需要检测的内容类型,此处固定为",
"**",
"Moan",
"**",
"(呻吟)以调用呻吟检测功能。",
"注意:此字段可能返回",
"null,表示取不到有效值。",
":",
"type",
"Label",
":",
"str",
":",
"param",
"Score",
":",
"该字段用于返回呻吟检测的置信度,取值范围:0(",
"**",
"置信度最低",
"**",
")",
"-",
"100(",
... | def __init__(self):
r"""
:param Label: 该字段用于返回检测结果需要检测的内容类型,此处固定为**Moan**(呻吟)以调用呻吟检测功能。
注意:此字段可能返回 null,表示取不到有效值。
:type Label: str
:param Score: 该字段用于返回呻吟检测的置信度,取值范围:0(**置信度最低**)-100(**置信度最高**),越高代表音频越有可能属于呻吟内容。
:type Score: int
:param StartTime: 该字段用于返回对应呻吟标签的片段在音频文件内的开始... | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"Label",
"=",
"None",
"self",
".",
"Score",
"=",
"None",
"self",
".",
"StartTime",
"=",
"None",
"self",
".",
"EndTime",
"=",
"None",
"self",
".",
"SubLabelCode",
"=",
"None",
"self",
".",
"SubLab... | https://github.com/TencentCloud/tencentcloud-sdk-python/blob/3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2/tencentcloud/vm/v20201229/models.py#L167-L189 | ||
City-Bureau/city-scrapers | b295d0aa612e3979a9fccab7c5f55ecea9ed074c | city_scrapers/spiders/cook_emergency_telephone.py | python | CookEmergencyTelephoneSpider.parse | (self, response) | `parse` should always `yield` Meeting items.
Change the `_parse_title`, `_parse_start`, etc methods to fit your scraping
needs. | `parse` should always `yield` Meeting items. | [
"parse",
"should",
"always",
"yield",
"Meeting",
"items",
"."
] | def parse(self, response):
"""
`parse` should always `yield` Meeting items.
Change the `_parse_title`, `_parse_start`, etc methods to fit your scraping
needs.
"""
for link in response.css(".sliding_box a"):
link_text = link.css("*::text").get()
... | [
"def",
"parse",
"(",
"self",
",",
"response",
")",
":",
"for",
"link",
"in",
"response",
".",
"css",
"(",
"\".sliding_box a\"",
")",
":",
"link_text",
"=",
"link",
".",
"css",
"(",
"\"*::text\"",
")",
".",
"get",
"(",
")",
"if",
"\"Minutes\"",
"in",
... | https://github.com/City-Bureau/city-scrapers/blob/b295d0aa612e3979a9fccab7c5f55ecea9ed074c/city_scrapers/spiders/cook_emergency_telephone.py#L30-L53 | ||
openshift/openshift-tools | 1188778e728a6e4781acf728123e5b356380fe6f | openshift/installer/vendored/openshift-ansible-3.11.28-1/roles/lib_utils/library/yedit.py | python | Yedit.write | (self) | return (True, self.yaml_dict) | write to file | write to file | [
"write",
"to",
"file"
] | def write(self):
''' write to file '''
if not self.filename:
raise YeditException('Please specify a filename.')
if self.backup and self.file_exists():
shutil.copy(self.filename, '{}{}'.format(self.filename, self.backup_ext))
# Try to set format attributes if sup... | [
"def",
"write",
"(",
"self",
")",
":",
"if",
"not",
"self",
".",
"filename",
":",
"raise",
"YeditException",
"(",
"'Please specify a filename.'",
")",
"if",
"self",
".",
"backup",
"and",
"self",
".",
"file_exists",
"(",
")",
":",
"shutil",
".",
"copy",
"... | https://github.com/openshift/openshift-tools/blob/1188778e728a6e4781acf728123e5b356380fe6f/openshift/installer/vendored/openshift-ansible-3.11.28-1/roles/lib_utils/library/yedit.py#L434-L460 | |
DigitalSlideArchive/HistomicsTK | db2ceb4831bec0efa557cf5b18078ae790253de5 | histomicstk/annotations_and_masks/annotation_database_parser.py | python | dump_annotations_locally | (
gc, folderid, local, save_json=True,
save_sqlite=False, dbcon=None,
callback=None, callback_kwargs=None) | Dump annotations of folder and subfolders locally recursively.
This reproduces this tiered structure locally and (possibly) dumps
annotations there. Adapted from Lee A.D. Cooper
Parameters
-----------
gc : girder_client.GirderClient
authenticated girder client instance
folderid : str
... | Dump annotations of folder and subfolders locally recursively. | [
"Dump",
"annotations",
"of",
"folder",
"and",
"subfolders",
"locally",
"recursively",
"."
] | def dump_annotations_locally(
gc, folderid, local, save_json=True,
save_sqlite=False, dbcon=None,
callback=None, callback_kwargs=None):
"""Dump annotations of folder and subfolders locally recursively.
This reproduces this tiered structure locally and (possibly) dumps
annotations th... | [
"def",
"dump_annotations_locally",
"(",
"gc",
",",
"folderid",
",",
"local",
",",
"save_json",
"=",
"True",
",",
"save_sqlite",
"=",
"False",
",",
"dbcon",
"=",
"None",
",",
"callback",
"=",
"None",
",",
"callback_kwargs",
"=",
"None",
")",
":",
"callback_... | https://github.com/DigitalSlideArchive/HistomicsTK/blob/db2ceb4831bec0efa557cf5b18078ae790253de5/histomicstk/annotations_and_masks/annotation_database_parser.py#L275-L379 | ||
makerbot/ReplicatorG | d6f2b07785a5a5f1e172fb87cb4303b17c575d5d | skein_engines/skeinforge-50/skeinforge_application/skeinforge_plugins/craft_plugins/dwindle.py | python | DwindleSkein.addThread | (self) | Add the thread sections to the gcode. | Add the thread sections to the gcode. | [
"Add",
"the",
"thread",
"sections",
"to",
"the",
"gcode",
"."
] | def addThread(self):
'Add the thread sections to the gcode.'
if len(self.threadSections) == 0:
return
area = self.area
dwindlePortion = 0.0
endRateMultiplier = self.repository.endRateMultiplier.value
halfOverSteps = self.halfOverSteps
oneOverSteps = self.oneOverSteps
currentPentUpVolume = self.reposi... | [
"def",
"addThread",
"(",
"self",
")",
":",
"if",
"len",
"(",
"self",
".",
"threadSections",
")",
"==",
"0",
":",
"return",
"area",
"=",
"self",
".",
"area",
"dwindlePortion",
"=",
"0.0",
"endRateMultiplier",
"=",
"self",
".",
"repository",
".",
"endRateM... | https://github.com/makerbot/ReplicatorG/blob/d6f2b07785a5a5f1e172fb87cb4303b17c575d5d/skein_engines/skeinforge-50/skeinforge_application/skeinforge_plugins/craft_plugins/dwindle.py#L129-L148 | ||
linkchecker/linkchecker | d1078ed8480e5cfc4264d0dbf026b45b45aede4d | linkcheck/dummy.py | python | Dummy.__getitem__ | (self, key) | return self | Return self | Return self | [
"Return",
"self"
] | def __getitem__(self, key):
"""Return self"""
return self | [
"def",
"__getitem__",
"(",
"self",
",",
"key",
")",
":",
"return",
"self"
] | https://github.com/linkchecker/linkchecker/blob/d1078ed8480e5cfc4264d0dbf026b45b45aede4d/linkcheck/dummy.py#L60-L62 | |
plotly/plotly.py | cfad7862594b35965c0e000813bd7805e8494a5b | packages/python/plotly/plotly/graph_objs/funnel/_textfont.py | python | Textfont.color | (self) | return self["color"] | The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblu... | The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblu... | [
"The",
"color",
"property",
"is",
"a",
"color",
"and",
"may",
"be",
"specified",
"as",
":",
"-",
"A",
"hex",
"string",
"(",
"e",
".",
"g",
".",
"#ff0000",
")",
"-",
"An",
"rgb",
"/",
"rgba",
"string",
"(",
"e",
".",
"g",
".",
"rgb",
"(",
"255",... | def color(self):
"""
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A name... | [
"def",
"color",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"color\"",
"]"
] | https://github.com/plotly/plotly.py/blob/cfad7862594b35965c0e000813bd7805e8494a5b/packages/python/plotly/plotly/graph_objs/funnel/_textfont.py#L16-L65 | |
quantumlib/Cirq | 89f88b01d69222d3f1ec14d649b7b3a85ed9211f | cirq-ionq/cirq_ionq/ionq_client.py | python | _IonQClient.list_jobs | (
self, status: Optional[str] = None, limit: int = 100, batch_size: int = 1000
) | return self._list('jobs', params, 'jobs', limit, batch_size) | Lists jobs from the IonQ API.
Args:
status: If not None, filter to jobs with this status.
limit: The maximum number of jobs to return.
batch_size: The size of the batches requested per http GET call.
Returns:
A list of the json bodies of the job dicts.
... | Lists jobs from the IonQ API. | [
"Lists",
"jobs",
"from",
"the",
"IonQ",
"API",
"."
] | def list_jobs(
self, status: Optional[str] = None, limit: int = 100, batch_size: int = 1000
) -> List[Dict[str, Any]]:
"""Lists jobs from the IonQ API.
Args:
status: If not None, filter to jobs with this status.
limit: The maximum number of jobs to return.
... | [
"def",
"list_jobs",
"(",
"self",
",",
"status",
":",
"Optional",
"[",
"str",
"]",
"=",
"None",
",",
"limit",
":",
"int",
"=",
"100",
",",
"batch_size",
":",
"int",
"=",
"1000",
")",
"->",
"List",
"[",
"Dict",
"[",
"str",
",",
"Any",
"]",
"]",
"... | https://github.com/quantumlib/Cirq/blob/89f88b01d69222d3f1ec14d649b7b3a85ed9211f/cirq-ionq/cirq_ionq/ionq_client.py#L157-L176 | |
phantomcyber/playbooks | 9e850ecc44cb98c5dde53784744213a1ed5799bd | zscaler_hunt_and_block_url.py | python | exec_short_description | (action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs) | return | [] | def exec_short_description(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
phantom.debug('exec_short_description() called')
template = """Please Investigate Executive Workstation - {0}"""
# parameter... | [
"def",
"exec_short_description",
"(",
"action",
"=",
"None",
",",
"success",
"=",
"None",
",",
"container",
"=",
"None",
",",
"results",
"=",
"None",
",",
"handle",
"=",
"None",
",",
"filtered_artifacts",
"=",
"None",
",",
"filtered_results",
"=",
"None",
... | https://github.com/phantomcyber/playbooks/blob/9e850ecc44cb98c5dde53784744213a1ed5799bd/zscaler_hunt_and_block_url.py#L412-L426 | |||
hasegaw/IkaLog | bd476da541fcc296f792d4db76a6b9174c4777ad | ikalog/engine.py | python | IkaEngine.disble_profile | (self) | [] | def disble_profile(self):
self._enable_profile = False | [
"def",
"disble_profile",
"(",
"self",
")",
":",
"self",
".",
"_enable_profile",
"=",
"False"
] | https://github.com/hasegaw/IkaLog/blob/bd476da541fcc296f792d4db76a6b9174c4777ad/ikalog/engine.py#L51-L52 | ||||
huggingface/transformers | 623b4f7c63f60cce917677ee704d6c93ee960b4b | src/transformers/utils/dummy_tf_objects.py | python | TFDistilBertForSequenceClassification.call | (self, *args, **kwargs) | [] | def call(self, *args, **kwargs):
requires_backends(self, ["tf"]) | [
"def",
"call",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"requires_backends",
"(",
"self",
",",
"[",
"\"tf\"",
"]",
")"
] | https://github.com/huggingface/transformers/blob/623b4f7c63f60cce917677ee704d6c93ee960b4b/src/transformers/utils/dummy_tf_objects.py#L1098-L1099 | ||||
josiah-wolf-oberholtzer/supriya | 5ca725a6b97edfbe016a75666d420ecfdf49592f | supriya/intervals/Interval.py | python | Interval.intersects | (self, expr: Union["Interval", float]) | return self.start_offset <= expr < self.stop_offset | True when interval intersects ``expr``, another interval or offset:
::
>>> from supriya.intervals import Interval
>>> interval_1 = Interval(0, 10)
>>> interval_2 = Interval(5, 15)
>>> interval_3 = Interval(10, 15)
>>> interval_4 = Interval(15, 25)
... | True when interval intersects ``expr``, another interval or offset: | [
"True",
"when",
"interval",
"intersects",
"expr",
"another",
"interval",
"or",
"offset",
":"
] | def intersects(self, expr: Union["Interval", float]) -> bool:
"""
True when interval intersects ``expr``, another interval or offset:
::
>>> from supriya.intervals import Interval
>>> interval_1 = Interval(0, 10)
>>> interval_2 = Interval(5, 15)
... | [
"def",
"intersects",
"(",
"self",
",",
"expr",
":",
"Union",
"[",
"\"Interval\"",
",",
"float",
"]",
")",
"->",
"bool",
":",
"if",
"isinstance",
"(",
"expr",
",",
"Interval",
")",
":",
"return",
"(",
"expr",
".",
"start_offset",
"<=",
"self",
".",
"s... | https://github.com/josiah-wolf-oberholtzer/supriya/blob/5ca725a6b97edfbe016a75666d420ecfdf49592f/supriya/intervals/Interval.py#L488-L531 | |
fkie/multimaster_fkie | 3d23df29d25d71a75c66bbd3cc6e9cbb255724d8 | fkie_node_manager_daemon/src/fkie_node_manager_daemon/url.py | python | equal_uri | (url1, url2) | return url1.rstrip(os.path.sep) == url2.rstrip(os.path.sep) | Removes to string after remove last slash character. | Removes to string after remove last slash character. | [
"Removes",
"to",
"string",
"after",
"remove",
"last",
"slash",
"character",
"."
] | def equal_uri(url1, url2):
'''
Removes to string after remove last slash character.
'''
return url1.rstrip(os.path.sep) == url2.rstrip(os.path.sep) | [
"def",
"equal_uri",
"(",
"url1",
",",
"url2",
")",
":",
"return",
"url1",
".",
"rstrip",
"(",
"os",
".",
"path",
".",
"sep",
")",
"==",
"url2",
".",
"rstrip",
"(",
"os",
".",
"path",
".",
"sep",
")"
] | https://github.com/fkie/multimaster_fkie/blob/3d23df29d25d71a75c66bbd3cc6e9cbb255724d8/fkie_node_manager_daemon/src/fkie_node_manager_daemon/url.py#L47-L51 | |
jansel/opentuner | 070c5cef6d933eb760a2f9cd5cd08c95f27aee75 | examples/gccflags/gccflags.py | python | GccFlagsTuner.save_final_config | (self, configuration) | called at the end of tuning | called at the end of tuning | [
"called",
"at",
"the",
"end",
"of",
"tuning"
] | def save_final_config(self, configuration):
"""called at the end of tuning"""
print("Best flags written to gccflags_final_config.{json,cmd}")
self.manipulator().save_to_file(configuration.data,
'gccflags_final_config.json')
with open('gccflags_fina... | [
"def",
"save_final_config",
"(",
"self",
",",
"configuration",
")",
":",
"print",
"(",
"\"Best flags written to gccflags_final_config.{json,cmd}\"",
")",
"self",
".",
"manipulator",
"(",
")",
".",
"save_to_file",
"(",
"configuration",
".",
"data",
",",
"'gccflags_fina... | https://github.com/jansel/opentuner/blob/070c5cef6d933eb760a2f9cd5cd08c95f27aee75/examples/gccflags/gccflags.py#L345-L351 | ||
zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_flaskbb/lib/python2.7/site-packages/whoosh/codec/whoosh3.py | python | _lenfield | (fieldname) | return "_%s_len" % fieldname | [] | def _lenfield(fieldname):
return "_%s_len" % fieldname | [
"def",
"_lenfield",
"(",
"fieldname",
")",
":",
"return",
"\"_%s_len\"",
"%",
"fieldname"
] | https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_flaskbb/lib/python2.7/site-packages/whoosh/codec/whoosh3.py#L150-L151 | |||
ninja-ide/ninja-ide | 87d91131bd19fdc3dcfd91eb97ad1e41c49c60c0 | ninja_ide/gui/explorer/tabs/tree_projects_widget.py | python | ProjectTreeColumn._add_file_to_project | (self, path) | Add the file for 'path' in the project the user choose here. | Add the file for 'path' in the project the user choose here. | [
"Add",
"the",
"file",
"for",
"path",
"in",
"the",
"project",
"the",
"user",
"choose",
"here",
"."
] | def _add_file_to_project(self, path):
"""Add the file for 'path' in the project the user choose here."""
if self._projects_area.count() > 0:
path_project = [self.current_project]
_add_to_project = add_to_project.AddToProject(path_project, self)
_add_to_project.exec_()... | [
"def",
"_add_file_to_project",
"(",
"self",
",",
"path",
")",
":",
"if",
"self",
".",
"_projects_area",
".",
"count",
"(",
")",
">",
"0",
":",
"path_project",
"=",
"[",
"self",
".",
"current_project",
"]",
"_add_to_project",
"=",
"add_to_project",
".",
"Ad... | https://github.com/ninja-ide/ninja-ide/blob/87d91131bd19fdc3dcfd91eb97ad1e41c49c60c0/ninja_ide/gui/explorer/tabs/tree_projects_widget.py#L200-L232 | ||
FederatedAI/FATE | 32540492623568ecd1afcb367360133616e02fa3 | python/federatedml/statistic/data_overview.py | python | with_weight | (data_instances) | return False | [] | def with_weight(data_instances):
first_entry = data_instances.first()[1]
if isinstance(first_entry, Instance) and first_entry.weight is not None:
return True
return False | [
"def",
"with_weight",
"(",
"data_instances",
")",
":",
"first_entry",
"=",
"data_instances",
".",
"first",
"(",
")",
"[",
"1",
"]",
"if",
"isinstance",
"(",
"first_entry",
",",
"Instance",
")",
"and",
"first_entry",
".",
"weight",
"is",
"not",
"None",
":",... | https://github.com/FederatedAI/FATE/blob/32540492623568ecd1afcb367360133616e02fa3/python/federatedml/statistic/data_overview.py#L180-L184 | |||
zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_flaskbb/lib/python2.7/site-packages/urllib3/util/selectors.py | python | BaseSelector._key_from_fd | (self, fd) | Return the key associated to a given file descriptor
Return None if it is not found. | Return the key associated to a given file descriptor
Return None if it is not found. | [
"Return",
"the",
"key",
"associated",
"to",
"a",
"given",
"file",
"descriptor",
"Return",
"None",
"if",
"it",
"is",
"not",
"found",
"."
] | def _key_from_fd(self, fd):
""" Return the key associated to a given file descriptor
Return None if it is not found. """
try:
return self._fd_to_key[fd]
except KeyError:
return None | [
"def",
"_key_from_fd",
"(",
"self",
",",
"fd",
")",
":",
"try",
":",
"return",
"self",
".",
"_fd_to_key",
"[",
"fd",
"]",
"except",
"KeyError",
":",
"return",
"None"
] | https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_flaskbb/lib/python2.7/site-packages/urllib3/util/selectors.py#L270-L276 | ||
bruderstein/PythonScript | df9f7071ddf3a079e3a301b9b53a6dc78cf1208f | PythonLib/full/ssl.py | python | _inet_paton | (ipname) | Try to convert an IP address to packed binary form
Supports IPv4 addresses on all platforms and IPv6 on platforms with IPv6
support. | Try to convert an IP address to packed binary form | [
"Try",
"to",
"convert",
"an",
"IP",
"address",
"to",
"packed",
"binary",
"form"
] | def _inet_paton(ipname):
"""Try to convert an IP address to packed binary form
Supports IPv4 addresses on all platforms and IPv6 on platforms with IPv6
support.
"""
# inet_aton() also accepts strings like '1', '127.1', some also trailing
# data like '127.0.0.1 whatever'.
try:
addr =... | [
"def",
"_inet_paton",
"(",
"ipname",
")",
":",
"# inet_aton() also accepts strings like '1', '127.1', some also trailing",
"# data like '127.0.0.1 whatever'.",
"try",
":",
"addr",
"=",
"_socket",
".",
"inet_aton",
"(",
"ipname",
")",
"except",
"OSError",
":",
"# not an IPv4... | https://github.com/bruderstein/PythonScript/blob/df9f7071ddf3a079e3a301b9b53a6dc78cf1208f/PythonLib/full/ssl.py#L324-L356 | ||
TencentCloud/tencentcloud-sdk-python | 3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2 | tencentcloud/cpdp/v20190820/models.py | python | ApplyDeclareData.__init__ | (self) | r"""
:param MerchantId: 商户号
:type MerchantId: str
:param TransactionId: 第三方指令编号
:type TransactionId: str
:param Status: 受理状态
:type Status: str
:param DeclareId: 申报流水号
:type DeclareId: str
:param OriginalDeclareId: 原申报流水号
注意:此字段可能返回 null,表示取不到有效值。
... | r"""
:param MerchantId: 商户号
:type MerchantId: str
:param TransactionId: 第三方指令编号
:type TransactionId: str
:param Status: 受理状态
:type Status: str
:param DeclareId: 申报流水号
:type DeclareId: str
:param OriginalDeclareId: 原申报流水号
注意:此字段可能返回 null,表示取不到有效值。
... | [
"r",
":",
"param",
"MerchantId",
":",
"商户号",
":",
"type",
"MerchantId",
":",
"str",
":",
"param",
"TransactionId",
":",
"第三方指令编号",
":",
"type",
"TransactionId",
":",
"str",
":",
"param",
"Status",
":",
"受理状态",
":",
"type",
"Status",
":",
"str",
":",
"p... | def __init__(self):
r"""
:param MerchantId: 商户号
:type MerchantId: str
:param TransactionId: 第三方指令编号
:type TransactionId: str
:param Status: 受理状态
:type Status: str
:param DeclareId: 申报流水号
:type DeclareId: str
:param OriginalDeclareId: 原申报流水号... | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"MerchantId",
"=",
"None",
"self",
".",
"TransactionId",
"=",
"None",
"self",
".",
"Status",
"=",
"None",
"self",
".",
"DeclareId",
"=",
"None",
"self",
".",
"OriginalDeclareId",
"=",
"None",
"self",... | https://github.com/TencentCloud/tencentcloud-sdk-python/blob/3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2/tencentcloud/cpdp/v20190820/models.py#L1052-L1073 | ||
sqlalchemy/sqlalchemy | eb716884a4abcabae84a6aaba105568e925b7d27 | lib/sqlalchemy/orm/attributes.py | python | History.has_changes | (self) | return bool(self.added or self.deleted) | Return True if this :class:`.History` has changes. | Return True if this :class:`.History` has changes. | [
"Return",
"True",
"if",
"this",
":",
"class",
":",
".",
"History",
"has",
"changes",
"."
] | def has_changes(self):
"""Return True if this :class:`.History` has changes."""
return bool(self.added or self.deleted) | [
"def",
"has_changes",
"(",
"self",
")",
":",
"return",
"bool",
"(",
"self",
".",
"added",
"or",
"self",
".",
"deleted",
")"
] | https://github.com/sqlalchemy/sqlalchemy/blob/eb716884a4abcabae84a6aaba105568e925b7d27/lib/sqlalchemy/orm/attributes.py#L1828-L1831 | |
sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/graphs/generators/random.py | python | growing_subtrees | (T, k) | return S | r"""
Return a list of the vertex sets of ``n`` randomly chosen subtrees of ``T``.
For a tree of order `n`, the collection contains `n` subtrees with maximum
order `k` and average order `\frac{k + 1}{2}`.
This method is part of
:meth:`~sage.graphs.generators.random.RandomChordalGraph`.
ALGORIT... | r"""
Return a list of the vertex sets of ``n`` randomly chosen subtrees of ``T``. | [
"r",
"Return",
"a",
"list",
"of",
"the",
"vertex",
"sets",
"of",
"n",
"randomly",
"chosen",
"subtrees",
"of",
"T",
"."
] | def growing_subtrees(T, k):
r"""
Return a list of the vertex sets of ``n`` randomly chosen subtrees of ``T``.
For a tree of order `n`, the collection contains `n` subtrees with maximum
order `k` and average order `\frac{k + 1}{2}`.
This method is part of
:meth:`~sage.graphs.generators.random.R... | [
"def",
"growing_subtrees",
"(",
"T",
",",
"k",
")",
":",
"from",
"sage",
".",
"misc",
".",
"prandom",
"import",
"choice",
"n",
"=",
"T",
".",
"order",
"(",
")",
"S",
"=",
"[",
"]",
"for",
"_",
"in",
"range",
"(",
"n",
")",
":",
"ki",
"=",
"ra... | https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/graphs/generators/random.py#L857-L909 | |
openhatch/oh-mainline | ce29352a034e1223141dcc2f317030bbc3359a51 | vendor/packages/whoosh/src/whoosh/matching.py | python | FilterMatcher.__init__ | (self, child, ids, exclude=False, boost=1.0) | :param child: the child matcher.
:param ids: a set of IDs to filter by.
:param exclude: by default, only IDs from the wrapped matcher that are
**in** the set are used. If this argument is True, only IDs from
the wrapped matcher that are **not in** the set are used. | :param child: the child matcher.
:param ids: a set of IDs to filter by.
:param exclude: by default, only IDs from the wrapped matcher that are
**in** the set are used. If this argument is True, only IDs from
the wrapped matcher that are **not in** the set are used. | [
":",
"param",
"child",
":",
"the",
"child",
"matcher",
".",
":",
"param",
"ids",
":",
"a",
"set",
"of",
"IDs",
"to",
"filter",
"by",
".",
":",
"param",
"exclude",
":",
"by",
"default",
"only",
"IDs",
"from",
"the",
"wrapped",
"matcher",
"that",
"are"... | def __init__(self, child, ids, exclude=False, boost=1.0):
"""
:param child: the child matcher.
:param ids: a set of IDs to filter by.
:param exclude: by default, only IDs from the wrapped matcher that are
**in** the set are used. If this argument is True, only IDs from
... | [
"def",
"__init__",
"(",
"self",
",",
"child",
",",
"ids",
",",
"exclude",
"=",
"False",
",",
"boost",
"=",
"1.0",
")",
":",
"super",
"(",
"FilterMatcher",
",",
"self",
")",
".",
"__init__",
"(",
"child",
")",
"self",
".",
"_ids",
"=",
"ids",
"self"... | https://github.com/openhatch/oh-mainline/blob/ce29352a034e1223141dcc2f317030bbc3359a51/vendor/packages/whoosh/src/whoosh/matching.py#L737-L750 | ||
libertysoft3/saidit | 271c7d03adb369f82921d811360b00812e42da24 | r2/r2/controllers/api.py | python | ApiController.POST_subreddit_stylesheet | (self, form, jquery,
stylesheet_contents = '', prevstyle='',
op='save', reason=None) | Update a subreddit's stylesheet.
`op` should be `save` to update the contents of the stylesheet. | Update a subreddit's stylesheet. | [
"Update",
"a",
"subreddit",
"s",
"stylesheet",
"."
] | def POST_subreddit_stylesheet(self, form, jquery,
stylesheet_contents = '', prevstyle='',
op='save', reason=None):
"""Update a subreddit's stylesheet.
`op` should be `save` to update the contents of the stylesheet.
"""
... | [
"def",
"POST_subreddit_stylesheet",
"(",
"self",
",",
"form",
",",
"jquery",
",",
"stylesheet_contents",
"=",
"''",
",",
"prevstyle",
"=",
"''",
",",
"op",
"=",
"'save'",
",",
"reason",
"=",
"None",
")",
":",
"if",
"g",
".",
"css_killswitch",
":",
"retur... | https://github.com/libertysoft3/saidit/blob/271c7d03adb369f82921d811360b00812e42da24/r2/r2/controllers/api.py#L2417-L2498 | ||
tomplus/kubernetes_asyncio | f028cc793e3a2c519be6a52a49fb77ff0b014c9b | kubernetes_asyncio/client/models/v1_service_list.py | python | V1ServiceList.__ne__ | (self, other) | return self.to_dict() != other.to_dict() | Returns true if both objects are not equal | Returns true if both objects are not equal | [
"Returns",
"true",
"if",
"both",
"objects",
"are",
"not",
"equal"
] | def __ne__(self, other):
"""Returns true if both objects are not equal"""
if not isinstance(other, V1ServiceList):
return True
return self.to_dict() != other.to_dict() | [
"def",
"__ne__",
"(",
"self",
",",
"other",
")",
":",
"if",
"not",
"isinstance",
"(",
"other",
",",
"V1ServiceList",
")",
":",
"return",
"True",
"return",
"self",
".",
"to_dict",
"(",
")",
"!=",
"other",
".",
"to_dict",
"(",
")"
] | https://github.com/tomplus/kubernetes_asyncio/blob/f028cc793e3a2c519be6a52a49fb77ff0b014c9b/kubernetes_asyncio/client/models/v1_service_list.py#L200-L205 | |
CharlesBlonde/libpurecoollink | a91362c57a0bc4126279c8c51c407dd713b08e10 | libpurecoollink/dyson_360_eye.py | python | Dyson360Eye.on_message | (client, userdata, msg) | Set function Callback when message received. | Set function Callback when message received. | [
"Set",
"function",
"Callback",
"when",
"message",
"received",
"."
] | def on_message(client, userdata, msg):
# pylint: disable=unused-argument
"""Set function Callback when message received."""
payload = msg.payload.decode("utf-8")
device_msg = None
if Dyson360EyeState.is_state_message(payload):
device_msg = Dyson360EyeState(payload)
... | [
"def",
"on_message",
"(",
"client",
",",
"userdata",
",",
"msg",
")",
":",
"# pylint: disable=unused-argument",
"payload",
"=",
"msg",
".",
"payload",
".",
"decode",
"(",
"\"utf-8\"",
")",
"device_msg",
"=",
"None",
"if",
"Dyson360EyeState",
".",
"is_state_messa... | https://github.com/CharlesBlonde/libpurecoollink/blob/a91362c57a0bc4126279c8c51c407dd713b08e10/libpurecoollink/dyson_360_eye.py#L109-L134 | ||
wizyoung/googletranslate.popclipext | a3c465685a5a75213e2ec8517eb98d336984bc50 | src/httpx/_utils.py | python | peek_filelike_length | (stream: typing.IO) | Given a file-like stream object, return its length in number of bytes
without reading it into memory. | Given a file-like stream object, return its length in number of bytes
without reading it into memory. | [
"Given",
"a",
"file",
"-",
"like",
"stream",
"object",
"return",
"its",
"length",
"in",
"number",
"of",
"bytes",
"without",
"reading",
"it",
"into",
"memory",
"."
] | def peek_filelike_length(stream: typing.IO) -> int:
"""
Given a file-like stream object, return its length in number of bytes
without reading it into memory.
"""
try:
# Is it an actual file?
fd = stream.fileno()
except OSError:
# No... Maybe it's something that supports r... | [
"def",
"peek_filelike_length",
"(",
"stream",
":",
"typing",
".",
"IO",
")",
"->",
"int",
":",
"try",
":",
"# Is it an actual file?",
"fd",
"=",
"stream",
".",
"fileno",
"(",
")",
"except",
"OSError",
":",
"# No... Maybe it's something that supports random access, l... | https://github.com/wizyoung/googletranslate.popclipext/blob/a3c465685a5a75213e2ec8517eb98d336984bc50/src/httpx/_utils.py#L324-L347 | ||
facelessuser/ColorHelper | cfed17c35dbae4db49a14165ef222407c48a3014 | ch_preview.py | python | ColorHelperListener.should_update | (self, view) | return force_update | Check if an update should be performed. | Check if an update should be performed. | [
"Check",
"if",
"an",
"update",
"should",
"be",
"performed",
"."
] | def should_update(self, view):
"""Check if an update should be performed."""
force_update = False
rules = view.settings().get('color_helper.scan', None)
if rules:
last_updated = rules.get('last_updated', None)
if last_updated is None or last_updated < ch_last_upd... | [
"def",
"should_update",
"(",
"self",
",",
"view",
")",
":",
"force_update",
"=",
"False",
"rules",
"=",
"view",
".",
"settings",
"(",
")",
".",
"get",
"(",
"'color_helper.scan'",
",",
"None",
")",
"if",
"rules",
":",
"last_updated",
"=",
"rules",
".",
... | https://github.com/facelessuser/ColorHelper/blob/cfed17c35dbae4db49a14165ef222407c48a3014/ch_preview.py#L780-L800 | |
bruderstein/PythonScript | df9f7071ddf3a079e3a301b9b53a6dc78cf1208f | PythonLib/min/numbers.py | python | Real.__le__ | (self, other) | self <= other | self <= other | [
"self",
"<",
"=",
"other"
] | def __le__(self, other):
"""self <= other"""
raise NotImplementedError | [
"def",
"__le__",
"(",
"self",
",",
"other",
")",
":",
"raise",
"NotImplementedError"
] | https://github.com/bruderstein/PythonScript/blob/df9f7071ddf3a079e3a301b9b53a6dc78cf1208f/PythonLib/min/numbers.py#L241-L243 | ||
angr/angr-management | 60ae5fa483e74810fb3a3da8d37b00034d7fefab | angrmanagement/plugins/base_plugin.py | python | BasePlugin.on_workspace_initialized | (self, workspace: 'Workspace') | A handler that is called right after a workspace is initialized. | A handler that is called right after a workspace is initialized. | [
"A",
"handler",
"that",
"is",
"called",
"right",
"after",
"a",
"workspace",
"is",
"initialized",
"."
] | def on_workspace_initialized(self, workspace: 'Workspace'):
"""
A handler that is called right after a workspace is initialized.
""" | [
"def",
"on_workspace_initialized",
"(",
"self",
",",
"workspace",
":",
"'Workspace'",
")",
":"
] | https://github.com/angr/angr-management/blob/60ae5fa483e74810fb3a3da8d37b00034d7fefab/angrmanagement/plugins/base_plugin.py#L61-L64 | ||
cisco/mindmeld | 809c36112e9ea8019fe29d54d136ca14eb4fd8db | mindmeld/resource_loader.py | python | Hasher._get_algorithm | (self) | return self._algorithm | Getter for algorithm property.
Returns:
str: the hashing algorithm | Getter for algorithm property. | [
"Getter",
"for",
"algorithm",
"property",
"."
] | def _get_algorithm(self):
"""Getter for algorithm property.
Returns:
str: the hashing algorithm
"""
return self._algorithm | [
"def",
"_get_algorithm",
"(",
"self",
")",
":",
"return",
"self",
".",
"_algorithm"
] | https://github.com/cisco/mindmeld/blob/809c36112e9ea8019fe29d54d136ca14eb4fd8db/mindmeld/resource_loader.py#L956-L962 | |
Nuitka/Nuitka | 39262276993757fa4e299f497654065600453fc9 | nuitka/build/inline_copy/lib/scons-4.3.0/SCons/Taskmaster.py | python | Task.failed | (self) | Default action when a task fails: stop the build.
Note: Although this function is normally invoked on nodes in
the executing state, it might also be invoked on up-to-date
nodes when using Configure(). | Default action when a task fails: stop the build. | [
"Default",
"action",
"when",
"a",
"task",
"fails",
":",
"stop",
"the",
"build",
"."
] | def failed(self):
"""
Default action when a task fails: stop the build.
Note: Although this function is normally invoked on nodes in
the executing state, it might also be invoked on up-to-date
nodes when using Configure().
"""
self.fail_stop() | [
"def",
"failed",
"(",
"self",
")",
":",
"self",
".",
"fail_stop",
"(",
")"
] | https://github.com/Nuitka/Nuitka/blob/39262276993757fa4e299f497654065600453fc9/nuitka/build/inline_copy/lib/scons-4.3.0/SCons/Taskmaster.py#L303-L311 | ||
tensorlayer/tensorlayer | cb4eb896dd063e650ef22533ed6fa6056a71cad5 | tensorlayer/layers/normalization.py | python | LocalResponseNorm.forward | (self, inputs) | return outputs | prev_layer : :class:`Layer`
The previous layer with a 4D output shape. | prev_layer : :class:`Layer`
The previous layer with a 4D output shape. | [
"prev_layer",
":",
":",
"class",
":",
"Layer",
"The",
"previous",
"layer",
"with",
"a",
"4D",
"output",
"shape",
"."
] | def forward(self, inputs):
"""
prev_layer : :class:`Layer`
The previous layer with a 4D output shape.
"""
outputs = tf.nn.lrn(inputs, depth_radius=self.depth_radius, bias=self.bias, alpha=self.alpha, beta=self.beta)
return outputs | [
"def",
"forward",
"(",
"self",
",",
"inputs",
")",
":",
"outputs",
"=",
"tf",
".",
"nn",
".",
"lrn",
"(",
"inputs",
",",
"depth_radius",
"=",
"self",
".",
"depth_radius",
",",
"bias",
"=",
"self",
".",
"bias",
",",
"alpha",
"=",
"self",
".",
"alpha... | https://github.com/tensorlayer/tensorlayer/blob/cb4eb896dd063e650ef22533ed6fa6056a71cad5/tensorlayer/layers/normalization.py#L73-L79 | |
calmevtime/DCTNet | bd7c669b478e47fde230119045133d10e135de97 | segmentation/mmdet/core/bbox/samplers/base_sampler.py | python | BaseSampler.sample | (self,
assign_result,
bboxes,
gt_bboxes,
gt_labels=None,
**kwargs) | return SamplingResult(pos_inds, neg_inds, bboxes, gt_bboxes,
assign_result, gt_flags) | Sample positive and negative bboxes.
This is a simple implementation of bbox sampling given candidates,
assigning results and ground truth bboxes.
Args:
assign_result (:obj:`AssignResult`): Bbox assigning results.
bboxes (Tensor): Boxes to be sampled from.
g... | Sample positive and negative bboxes. | [
"Sample",
"positive",
"and",
"negative",
"bboxes",
"."
] | def sample(self,
assign_result,
bboxes,
gt_bboxes,
gt_labels=None,
**kwargs):
"""Sample positive and negative bboxes.
This is a simple implementation of bbox sampling given candidates,
assigning results and ground truth ... | [
"def",
"sample",
"(",
"self",
",",
"assign_result",
",",
"bboxes",
",",
"gt_bboxes",
",",
"gt_labels",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"bboxes",
"=",
"bboxes",
"[",
":",
",",
":",
"4",
"]",
"gt_flags",
"=",
"bboxes",
".",
"new_zeros",... | https://github.com/calmevtime/DCTNet/blob/bd7c669b478e47fde230119045133d10e135de97/segmentation/mmdet/core/bbox/samplers/base_sampler.py#L31-L78 | |
omz/PythonistaAppTemplate | f560f93f8876d82a21d108977f90583df08d55af | PythonistaAppTemplate/PythonistaKit.framework/pylib_ext/matplotlib/pyplot.py | python | colormaps | () | return sorted(cm.cmap_d.keys()) | Matplotlib provides a number of colormaps, and others can be added using
:func:`~matplotlib.cm.register_cmap`. This function documents the built-in
colormaps, and will also return a list of all registered colormaps if called.
You can set the colormap for an image, pcolor, scatter, etc,
using a keyword... | Matplotlib provides a number of colormaps, and others can be added using
:func:`~matplotlib.cm.register_cmap`. This function documents the built-in
colormaps, and will also return a list of all registered colormaps if called. | [
"Matplotlib",
"provides",
"a",
"number",
"of",
"colormaps",
"and",
"others",
"can",
"be",
"added",
"using",
":",
"func",
":",
"~matplotlib",
".",
"cm",
".",
"register_cmap",
".",
"This",
"function",
"documents",
"the",
"built",
"-",
"in",
"colormaps",
"and",... | def colormaps():
"""
Matplotlib provides a number of colormaps, and others can be added using
:func:`~matplotlib.cm.register_cmap`. This function documents the built-in
colormaps, and will also return a list of all registered colormaps if called.
You can set the colormap for an image, pcolor, scat... | [
"def",
"colormaps",
"(",
")",
":",
"return",
"sorted",
"(",
"cm",
".",
"cmap_d",
".",
"keys",
"(",
")",
")"
] | https://github.com/omz/PythonistaAppTemplate/blob/f560f93f8876d82a21d108977f90583df08d55af/PythonistaAppTemplate/PythonistaKit.framework/pylib_ext/matplotlib/pyplot.py#L1820-L2054 | |
deepmind/dm_control | 806a10e896e7c887635328bfa8352604ad0fedae | dm_control/entities/manipulators/kinova/jaco_arm.py | python | JacoArm.joints | (self) | return self._joints | List of joint elements belonging to the arm. | List of joint elements belonging to the arm. | [
"List",
"of",
"joint",
"elements",
"belonging",
"to",
"the",
"arm",
"."
] | def joints(self):
"""List of joint elements belonging to the arm."""
return self._joints | [
"def",
"joints",
"(",
"self",
")",
":",
"return",
"self",
".",
"_joints"
] | https://github.com/deepmind/dm_control/blob/806a10e896e7c887635328bfa8352604ad0fedae/dm_control/entities/manipulators/kinova/jaco_arm.py#L77-L79 | |
omz/PythonistaAppTemplate | f560f93f8876d82a21d108977f90583df08d55af | PythonistaAppTemplate/PythonistaKit.framework/pylib/site-packages/httplib2/__init__.py | python | Http.add_certificate | (self, key, cert, domain) | Add a key and cert that will be used
any time a request requires authentication. | Add a key and cert that will be used
any time a request requires authentication. | [
"Add",
"a",
"key",
"and",
"cert",
"that",
"will",
"be",
"used",
"any",
"time",
"a",
"request",
"requires",
"authentication",
"."
] | def add_certificate(self, key, cert, domain):
"""Add a key and cert that will be used
any time a request requires authentication."""
self.certificates.add(key, cert, domain) | [
"def",
"add_certificate",
"(",
"self",
",",
"key",
",",
"cert",
",",
"domain",
")",
":",
"self",
".",
"certificates",
".",
"add",
"(",
"key",
",",
"cert",
",",
"domain",
")"
] | https://github.com/omz/PythonistaAppTemplate/blob/f560f93f8876d82a21d108977f90583df08d55af/PythonistaAppTemplate/PythonistaKit.framework/pylib/site-packages/httplib2/__init__.py#L1237-L1240 | ||
IronLanguages/main | a949455434b1fda8c783289e897e78a9a0caabb5 | External.LCA_RESTRICTED/Languages/CPython/27/Lib/logging/__init__.py | python | Filterer.filter | (self, record) | return rv | Determine if a record is loggable by consulting all the filters.
The default is to allow the record to be logged; any filter can veto
this and the record is then dropped. Returns a zero value if a record
is to be dropped, else non-zero. | Determine if a record is loggable by consulting all the filters. | [
"Determine",
"if",
"a",
"record",
"is",
"loggable",
"by",
"consulting",
"all",
"the",
"filters",
"."
] | def filter(self, record):
"""
Determine if a record is loggable by consulting all the filters.
The default is to allow the record to be logged; any filter can veto
this and the record is then dropped. Returns a zero value if a record
is to be dropped, else non-zero.
"""
... | [
"def",
"filter",
"(",
"self",
",",
"record",
")",
":",
"rv",
"=",
"1",
"for",
"f",
"in",
"self",
".",
"filters",
":",
"if",
"not",
"f",
".",
"filter",
"(",
"record",
")",
":",
"rv",
"=",
"0",
"break",
"return",
"rv"
] | https://github.com/IronLanguages/main/blob/a949455434b1fda8c783289e897e78a9a0caabb5/External.LCA_RESTRICTED/Languages/CPython/27/Lib/logging/__init__.py#L594-L607 | |
memray/seq2seq-keyphrase | 9145c63ebdc4c3bc431f8091dc52547a46804012 | emolga/models/covc_encdec.py | python | AutoEncoder.__init__ | (self,
config, n_rng, rng,
mode='Evaluation') | [] | def __init__(self,
config, n_rng, rng,
mode='Evaluation'):
super(RNNLM, self).__init__()
self.config = config
self.n_rng = n_rng # numpy random stream
self.rng = rng # Theano random stream
self.mode = mode
self.name = 'vae' | [
"def",
"__init__",
"(",
"self",
",",
"config",
",",
"n_rng",
",",
"rng",
",",
"mode",
"=",
"'Evaluation'",
")",
":",
"super",
"(",
"RNNLM",
",",
"self",
")",
".",
"__init__",
"(",
")",
"self",
".",
"config",
"=",
"config",
"self",
".",
"n_rng",
"="... | https://github.com/memray/seq2seq-keyphrase/blob/9145c63ebdc4c3bc431f8091dc52547a46804012/emolga/models/covc_encdec.py#L1712-L1721 | ||||
pm4py/pm4py-core | 7807b09a088b02199cd0149d724d0e28793971bf | pm4py/write.py | python | write_xes | (log: EventLog, file_path: str) | Exports a XES log
Parameters
--------------
log
Event log
file_path
Destination path
Returns
-------------
void | Exports a XES log | [
"Exports",
"a",
"XES",
"log"
] | def write_xes(log: EventLog, file_path: str) -> None:
"""
Exports a XES log
Parameters
--------------
log
Event log
file_path
Destination path
Returns
-------------
void
"""
general_checks_classical_event_log(log)
from pm4py.objects.log.exporter.xes impo... | [
"def",
"write_xes",
"(",
"log",
":",
"EventLog",
",",
"file_path",
":",
"str",
")",
"->",
"None",
":",
"general_checks_classical_event_log",
"(",
"log",
")",
"from",
"pm4py",
".",
"objects",
".",
"log",
".",
"exporter",
".",
"xes",
"import",
"exporter",
"a... | https://github.com/pm4py/pm4py-core/blob/7807b09a088b02199cd0149d724d0e28793971bf/pm4py/write.py#L29-L46 | ||
spesmilo/electrum | bdbd59300fbd35b01605e66145458e5f396108e8 | electrum/lnpeer.py | python | close_and_cleanup | (self) | [] | def close_and_cleanup(self):
# note: This method might get called multiple times!
# E.g. if you call close_and_cleanup() to cause a disconnection from the peer,
# it will get called a second time in handle_disconnect().
try:
if self.transport:
self... | [
"def",
"close_and_cleanup",
"(",
"self",
")",
":",
"# note: This method might get called multiple times!",
"# E.g. if you call close_and_cleanup() to cause a disconnection from the peer,",
"# it will get called a second time in handle_disconnect().",
"try",
":",
"if",
"self",
"... | https://github.com/spesmilo/electrum/blob/bdbd59300fbd35b01605e66145458e5f396108e8/electrum/lnpeer.py#L493-L503 | ||||
sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/rings/asymptotic/term_monoid.py | python | GenericTerm._eq_ | (self, other) | return self.growth == other.growth | r"""
Return whether this generic term is equal to ``other``.
INPUT:
- ``other`` -- an asymptotic term.
OUTPUT:
A boolean.
.. NOTE::
This method gets called by the coercion framework, so it
can be assumed that this asymptotic term is from the
... | r"""
Return whether this generic term is equal to ``other``. | [
"r",
"Return",
"whether",
"this",
"generic",
"term",
"is",
"equal",
"to",
"other",
"."
] | def _eq_(self, other):
r"""
Return whether this generic term is equal to ``other``.
INPUT:
- ``other`` -- an asymptotic term.
OUTPUT:
A boolean.
.. NOTE::
This method gets called by the coercion framework, so it
can be assumed that th... | [
"def",
"_eq_",
"(",
"self",
",",
"other",
")",
":",
"return",
"self",
".",
"growth",
"==",
"other",
".",
"growth"
] | https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/rings/asymptotic/term_monoid.py#L1019-L1074 | |
mesonbuild/meson | a22d0f9a0a787df70ce79b05d0c45de90a970048 | mesonbuild/compilers/d.py | python | DmdLikeCompilerMixin._get_crt_args | (self, crt_val: str, buildtype: str) | [] | def _get_crt_args(self, crt_val: str, buildtype: str) -> T.List[str]:
if not self.info.is_windows():
return []
if crt_val in self.mscrt_args:
return self.mscrt_args[crt_val]
assert crt_val in ['from_buildtype', 'static_from_buildtype']
dbg = 'mdd'
rel = ... | [
"def",
"_get_crt_args",
"(",
"self",
",",
"crt_val",
":",
"str",
",",
"buildtype",
":",
"str",
")",
"->",
"T",
".",
"List",
"[",
"str",
"]",
":",
"if",
"not",
"self",
".",
"info",
".",
"is_windows",
"(",
")",
":",
"return",
"[",
"]",
"if",
"crt_v... | https://github.com/mesonbuild/meson/blob/a22d0f9a0a787df70ce79b05d0c45de90a970048/mesonbuild/compilers/d.py#L441-L468 | ||||
Delta-ML/delta | 31dfebc8f20b7cb282b62f291ff25a87e403cc86 | delta/utils/postprocess/base_postproc.py | python | PostProcABC.call | (self) | implementation func | implementation func | [
"implementation",
"func"
] | def call(self):
''' implementation func '''
raise NotImplementedError() | [
"def",
"call",
"(",
"self",
")",
":",
"raise",
"NotImplementedError",
"(",
")"
] | https://github.com/Delta-ML/delta/blob/31dfebc8f20b7cb282b62f291ff25a87e403cc86/delta/utils/postprocess/base_postproc.py#L28-L30 | ||
home-assistant/core | 265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1 | homeassistant/components/sisyphus/media_player.py | python | SisyphusPlayer.media_position_updated_at | (self) | return self._table.active_track_remaining_time_as_of | Return the last time we got a position update. | Return the last time we got a position update. | [
"Return",
"the",
"last",
"time",
"we",
"got",
"a",
"position",
"update",
"."
] | def media_position_updated_at(self):
"""Return the last time we got a position update."""
return self._table.active_track_remaining_time_as_of | [
"def",
"media_position_updated_at",
"(",
"self",
")",
":",
"return",
"self",
".",
"_table",
".",
"active_track_remaining_time_as_of"
] | https://github.com/home-assistant/core/blob/265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1/homeassistant/components/sisyphus/media_player.py#L150-L152 | |
PowerScript/KatanaFramework | 0f6ad90a88de865d58ec26941cb4460501e75496 | lib/MySQLdb/connections.py | python | Connection.show_warnings | (self) | return warnings | Return detailed information about warnings as a
sequence of tuples of (Level, Code, Message). This
is only supported in MySQL-4.1 and up. If your server
is an earlier version, an empty sequence is returned. | Return detailed information about warnings as a
sequence of tuples of (Level, Code, Message). This
is only supported in MySQL-4.1 and up. If your server
is an earlier version, an empty sequence is returned. | [
"Return",
"detailed",
"information",
"about",
"warnings",
"as",
"a",
"sequence",
"of",
"tuples",
"of",
"(",
"Level",
"Code",
"Message",
")",
".",
"This",
"is",
"only",
"supported",
"in",
"MySQL",
"-",
"4",
".",
"1",
"and",
"up",
".",
"If",
"your",
"ser... | def show_warnings(self):
"""Return detailed information about warnings as a
sequence of tuples of (Level, Code, Message). This
is only supported in MySQL-4.1 and up. If your server
is an earlier version, an empty sequence is returned."""
if self._server_version < (4,1): return ()... | [
"def",
"show_warnings",
"(",
"self",
")",
":",
"if",
"self",
".",
"_server_version",
"<",
"(",
"4",
",",
"1",
")",
":",
"return",
"(",
")",
"self",
".",
"query",
"(",
"\"SHOW WARNINGS\"",
")",
"r",
"=",
"self",
".",
"store_result",
"(",
")",
"warning... | https://github.com/PowerScript/KatanaFramework/blob/0f6ad90a88de865d58ec26941cb4460501e75496/lib/MySQLdb/connections.py#L311-L320 | |
Fizzadar/pyinfra | ff0913d6a172966760b63fe59e55dff9ea852e0d | pyinfra/api/command.py | python | FileDownloadCommand.__repr__ | (self) | return 'FileDownloadCommand({0}, {1})'.format(self.src, self.dest) | [] | def __repr__(self):
return 'FileDownloadCommand({0}, {1})'.format(self.src, self.dest) | [
"def",
"__repr__",
"(",
"self",
")",
":",
"return",
"'FileDownloadCommand({0}, {1})'",
".",
"format",
"(",
"self",
".",
"src",
",",
"self",
".",
"dest",
")"
] | https://github.com/Fizzadar/pyinfra/blob/ff0913d6a172966760b63fe59e55dff9ea852e0d/pyinfra/api/command.py#L155-L156 | |||
oracle/graalpython | 577e02da9755d916056184ec441c26e00b70145c | graalpython/lib-python/3/asyncio/trsock.py | python | TransportSocket.send | (self, *args, **kwargs) | return self._sock.send(*args, **kwargs) | [] | def send(self, *args, **kwargs):
self._na('send() method')
return self._sock.send(*args, **kwargs) | [
"def",
"send",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"self",
".",
"_na",
"(",
"'send() method'",
")",
"return",
"self",
".",
"_sock",
".",
"send",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/oracle/graalpython/blob/577e02da9755d916056184ec441c26e00b70145c/graalpython/lib-python/3/asyncio/trsock.py#L145-L147 | |||
PaloAltoNetworks/pan-os-python | 30f6cd9e29d0e3c2549d46c722f6dcb507acd437 | panos/base.py | python | PanDevice.update_connection_method | (self) | return self._xapi_private | Regenerate the xapi object used to connect to the device
This is only necessary if the API key, password, hostname, or other
connectivity information in this object has changed. In this case,
the xapi object used to communicate with the firewall must be regenerated
to use the new connec... | Regenerate the xapi object used to connect to the device | [
"Regenerate",
"the",
"xapi",
"object",
"used",
"to",
"connect",
"to",
"the",
"device"
] | def update_connection_method(self):
"""Regenerate the xapi object used to connect to the device
This is only necessary if the API key, password, hostname, or other
connectivity information in this object has changed. In this case,
the xapi object used to communicate with the firewall mu... | [
"def",
"update_connection_method",
"(",
"self",
")",
":",
"self",
".",
"_xapi_private",
"=",
"self",
".",
"generate_xapi",
"(",
")",
"return",
"self",
".",
"_xapi_private"
] | https://github.com/PaloAltoNetworks/pan-os-python/blob/30f6cd9e29d0e3c2549d46c722f6dcb507acd437/panos/base.py#L3832-L3847 | |
nilearn/nilearn | 9edba4471747efacf21260bf470a346307f52706 | nilearn/interfaces/fmriprep/load_confounds_utils.py | python | MissingConfound.__init__ | (self, params=None, keywords=None) | Set missing parameters and keywords. | Set missing parameters and keywords. | [
"Set",
"missing",
"parameters",
"and",
"keywords",
"."
] | def __init__(self, params=None, keywords=None):
"""Set missing parameters and keywords."""
self.params = params or []
self.keywords = keywords or [] | [
"def",
"__init__",
"(",
"self",
",",
"params",
"=",
"None",
",",
"keywords",
"=",
"None",
")",
":",
"self",
".",
"params",
"=",
"params",
"or",
"[",
"]",
"self",
".",
"keywords",
"=",
"keywords",
"or",
"[",
"]"
] | https://github.com/nilearn/nilearn/blob/9edba4471747efacf21260bf470a346307f52706/nilearn/interfaces/fmriprep/load_confounds_utils.py#L246-L249 | ||
MushroomRL/mushroom-rl | a0eaa2cf8001e433419234a9fc48b64170e3f61c | mushroom_rl/utils/parameters.py | python | Parameter._compute | (self, *idx, **kwargs) | return self._initial_value | Returns:
The value of the parameter in the provided index. | Returns:
The value of the parameter in the provided index. | [
"Returns",
":",
"The",
"value",
"of",
"the",
"parameter",
"in",
"the",
"provided",
"index",
"."
] | def _compute(self, *idx, **kwargs):
"""
Returns:
The value of the parameter in the provided index.
"""
return self._initial_value | [
"def",
"_compute",
"(",
"self",
",",
"*",
"idx",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"self",
".",
"_initial_value"
] | https://github.com/MushroomRL/mushroom-rl/blob/a0eaa2cf8001e433419234a9fc48b64170e3f61c/mushroom_rl/utils/parameters.py#L83-L89 | |
coherence-project/Coherence | 88016204c7778bf0d3ad1ae331b4d8fd725dd2af | coherence/extern/youtubedl/youtubedl.py | python | YoutubeIE.report_video_info_webpage_download | (self, video_id) | Report attempt to download video info webpage. | Report attempt to download video info webpage. | [
"Report",
"attempt",
"to",
"download",
"video",
"info",
"webpage",
"."
] | def report_video_info_webpage_download(self, video_id):
"""Report attempt to download video info webpage."""
self._downloader.to_stdout(u'[youtube] %s: Downloading video info webpage' % video_id) | [
"def",
"report_video_info_webpage_download",
"(",
"self",
",",
"video_id",
")",
":",
"self",
".",
"_downloader",
".",
"to_stdout",
"(",
"u'[youtube] %s: Downloading video info webpage'",
"%",
"video_id",
")"
] | https://github.com/coherence-project/Coherence/blob/88016204c7778bf0d3ad1ae331b4d8fd725dd2af/coherence/extern/youtubedl/youtubedl.py#L559-L561 | ||
Eniac-Xie/faster-rcnn-resnet | aba743e8404b47fc9bcccba4920846d1068c7e3c | lib/roi_data_layer/layer.py | python | RoIDataLayer.reshape | (self, bottom, top) | Reshaping happens during the call to forward. | Reshaping happens during the call to forward. | [
"Reshaping",
"happens",
"during",
"the",
"call",
"to",
"forward",
"."
] | def reshape(self, bottom, top):
"""Reshaping happens during the call to forward."""
pass | [
"def",
"reshape",
"(",
"self",
",",
"bottom",
",",
"top",
")",
":",
"pass"
] | https://github.com/Eniac-Xie/faster-rcnn-resnet/blob/aba743e8404b47fc9bcccba4920846d1068c7e3c/lib/roi_data_layer/layer.py#L161-L163 | ||
TheAlgorithms/Python | 9af2eef9b3761bf51580dedfb6fa7136ca0c5c2c | data_structures/binary_tree/binary_tree_traversals.py | python | zigzag | (root: Node | None) | return output | ZigZag traverse:
Returns a list of nodes value from left to right and right to left, alternatively. | ZigZag traverse:
Returns a list of nodes value from left to right and right to left, alternatively. | [
"ZigZag",
"traverse",
":",
"Returns",
"a",
"list",
"of",
"nodes",
"value",
"from",
"left",
"to",
"right",
"and",
"right",
"to",
"left",
"alternatively",
"."
] | def zigzag(root: Node | None) -> Sequence[Node | None] | list[Any]:
"""
ZigZag traverse:
Returns a list of nodes value from left to right and right to left, alternatively.
"""
if root is None:
return []
output: list[Sequence[Node | None]] = []
flag = 0
height_tree = height(root... | [
"def",
"zigzag",
"(",
"root",
":",
"Node",
"|",
"None",
")",
"->",
"Sequence",
"[",
"Node",
"|",
"None",
"]",
"|",
"list",
"[",
"Any",
"]",
":",
"if",
"root",
"is",
"None",
":",
"return",
"[",
"]",
"output",
":",
"list",
"[",
"Sequence",
"[",
"... | https://github.com/TheAlgorithms/Python/blob/9af2eef9b3761bf51580dedfb6fa7136ca0c5c2c/data_structures/binary_tree/binary_tree_traversals.py#L126-L147 | |
BigBrotherBot/big-brother-bot | 848823c71413c86e7f1ff9584f43e08d40a7f2c0 | b3/tools/debug/statlib/stats.py | python | azmap | (scores, compare, dimension=0) | return (scores - mns) / sstd | Returns an array of z-scores the shape of scores (e.g., [x,y]), compared to
array passed to compare (e.g., [time,x,y]). Assumes collapsing over dim 0
of the compare array.
Usage: azs(scores, compare, dimension=0) | Returns an array of z-scores the shape of scores (e.g., [x,y]), compared to
array passed to compare (e.g., [time,x,y]). Assumes collapsing over dim 0
of the compare array.
Usage: azs(scores, compare, dimension=0) | [
"Returns",
"an",
"array",
"of",
"z",
"-",
"scores",
"the",
"shape",
"of",
"scores",
"(",
"e",
".",
"g",
".",
"[",
"x",
"y",
"]",
")",
"compared",
"to",
"array",
"passed",
"to",
"compare",
"(",
"e",
".",
"g",
".",
"[",
"time",
"x",
"y",
"]",
"... | def azmap (scores, compare, dimension=0):
"""
Returns an array of z-scores the shape of scores (e.g., [x,y]), compared to
array passed to compare (e.g., [time,x,y]). Assumes collapsing over dim 0
of the compare array.
Usage: azs(scores, compare, dimension=0)
"""
mns = amean(compare,d... | [
"def",
"azmap",
"(",
"scores",
",",
"compare",
",",
"dimension",
"=",
"0",
")",
":",
"mns",
"=",
"amean",
"(",
"compare",
",",
"dimension",
")",
"sstd",
"=",
"asamplestdev",
"(",
"compare",
",",
"0",
")",
"return",
"(",
"scores",
"-",
"mns",
")",
"... | https://github.com/BigBrotherBot/big-brother-bot/blob/848823c71413c86e7f1ff9584f43e08d40a7f2c0/b3/tools/debug/statlib/stats.py#L2916-L2926 | |
ns2250225/py-mt4 | 60b6b98f80923289dc6a73542e4b31e34abc030c | pythonicMT4.py | python | zmq_python.get_data | (self, symbol, timeframe, start_bar, end_bar) | return price_arr | only start_bar and end_bar as int | only start_bar and end_bar as int | [
"only",
"start_bar",
"and",
"end_bar",
"as",
"int"
] | def get_data(self, symbol, timeframe, start_bar, end_bar):
'''
only start_bar and end_bar as int
'''
self.data = "DATA|"+ symbol+"|"+"PERIOD_"+timeframe+"|"+str(start_bar)+"|"+str(end_bar+1)
self.remote_send(self.reqSocket, self.data)
prices= self.remote_pull(self.pullSoc... | [
"def",
"get_data",
"(",
"self",
",",
"symbol",
",",
"timeframe",
",",
"start_bar",
",",
"end_bar",
")",
":",
"self",
".",
"data",
"=",
"\"DATA|\"",
"+",
"symbol",
"+",
"\"|\"",
"+",
"\"PERIOD_\"",
"+",
"timeframe",
"+",
"\"|\"",
"+",
"str",
"(",
"start... | https://github.com/ns2250225/py-mt4/blob/60b6b98f80923289dc6a73542e4b31e34abc030c/pythonicMT4.py#L42-L54 | |
golismero/golismero | 7d605b937e241f51c1ca4f47b20f755eeefb9d76 | thirdparty_libs/django/db/models/sql/query.py | python | Query.reset_refcounts | (self, to_counts) | This method will reset reference counts for aliases so that they match
the value passed in :param to_counts:. | This method will reset reference counts for aliases so that they match
the value passed in :param to_counts:. | [
"This",
"method",
"will",
"reset",
"reference",
"counts",
"for",
"aliases",
"so",
"that",
"they",
"match",
"the",
"value",
"passed",
"in",
":",
"param",
"to_counts",
":",
"."
] | def reset_refcounts(self, to_counts):
"""
This method will reset reference counts for aliases so that they match
the value passed in :param to_counts:.
"""
for alias, cur_refcount in self.alias_refcount.copy().items():
unref_amount = cur_refcount - to_counts.get(alias... | [
"def",
"reset_refcounts",
"(",
"self",
",",
"to_counts",
")",
":",
"for",
"alias",
",",
"cur_refcount",
"in",
"self",
".",
"alias_refcount",
".",
"copy",
"(",
")",
".",
"items",
"(",
")",
":",
"unref_amount",
"=",
"cur_refcount",
"-",
"to_counts",
".",
"... | https://github.com/golismero/golismero/blob/7d605b937e241f51c1ca4f47b20f755eeefb9d76/thirdparty_libs/django/db/models/sql/query.py#L733-L740 | ||
Chaffelson/nipyapi | d3b186fd701ce308c2812746d98af9120955e810 | nipyapi/nifi/models/reporting_task_dto.py | python | ReportingTaskDTO.scheduling_period | (self) | return self._scheduling_period | Gets the scheduling_period of this ReportingTaskDTO.
The frequency with which to schedule the reporting task. The format of the value willd epend on the valud of the schedulingStrategy.
:return: The scheduling_period of this ReportingTaskDTO.
:rtype: str | Gets the scheduling_period of this ReportingTaskDTO.
The frequency with which to schedule the reporting task. The format of the value willd epend on the valud of the schedulingStrategy. | [
"Gets",
"the",
"scheduling_period",
"of",
"this",
"ReportingTaskDTO",
".",
"The",
"frequency",
"with",
"which",
"to",
"schedule",
"the",
"reporting",
"task",
".",
"The",
"format",
"of",
"the",
"value",
"willd",
"epend",
"on",
"the",
"valud",
"of",
"the",
"sc... | def scheduling_period(self):
"""
Gets the scheduling_period of this ReportingTaskDTO.
The frequency with which to schedule the reporting task. The format of the value willd epend on the valud of the schedulingStrategy.
:return: The scheduling_period of this ReportingTaskDTO.
:rt... | [
"def",
"scheduling_period",
"(",
"self",
")",
":",
"return",
"self",
".",
"_scheduling_period"
] | https://github.com/Chaffelson/nipyapi/blob/d3b186fd701ce308c2812746d98af9120955e810/nipyapi/nifi/models/reporting_task_dto.py#L472-L480 | |
RasaHQ/rasa | 54823b68c1297849ba7ae841a4246193cd1223a1 | rasa/shared/core/events.py | python | StoryExported.__init__ | (
self,
path: Optional[Text] = None,
timestamp: Optional[float] = None,
metadata: Optional[Dict[Text, Any]] = None,
) | Creates event about story exporting.
Args:
path: Path to which story was exported to.
timestamp: When the event was created.
metadata: Additional event metadata. | Creates event about story exporting. | [
"Creates",
"event",
"about",
"story",
"exporting",
"."
] | def __init__(
self,
path: Optional[Text] = None,
timestamp: Optional[float] = None,
metadata: Optional[Dict[Text, Any]] = None,
) -> None:
"""Creates event about story exporting.
Args:
path: Path to which story was exported to.
timestamp: When... | [
"def",
"__init__",
"(",
"self",
",",
"path",
":",
"Optional",
"[",
"Text",
"]",
"=",
"None",
",",
"timestamp",
":",
"Optional",
"[",
"float",
"]",
"=",
"None",
",",
"metadata",
":",
"Optional",
"[",
"Dict",
"[",
"Text",
",",
"Any",
"]",
"]",
"=",
... | https://github.com/RasaHQ/rasa/blob/54823b68c1297849ba7ae841a4246193cd1223a1/rasa/shared/core/events.py#L1330-L1344 | ||
holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/astropy-4.0-py3.7-macosx-10.9-x86_64.egg/astropy/cosmology/core.py | python | wpwaCDM.wp | (self) | return self._wp | Dark energy equation of state at the pivot redshift zp | Dark energy equation of state at the pivot redshift zp | [
"Dark",
"energy",
"equation",
"of",
"state",
"at",
"the",
"pivot",
"redshift",
"zp"
] | def wp(self):
""" Dark energy equation of state at the pivot redshift zp"""
return self._wp | [
"def",
"wp",
"(",
"self",
")",
":",
"return",
"self",
".",
"_wp"
] | https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/astropy-4.0-py3.7-macosx-10.9-x86_64.egg/astropy/cosmology/core.py#L2999-L3001 | |
number5/cloud-init | 19948dbaf40309355e1a2dbef116efb0ce66245c | cloudinit/distros/debian.py | python | read_system_locale | (sys_path=LOCALE_CONF_FN, keyname="LANG") | return sys_val | Read system default locale setting, if present | Read system default locale setting, if present | [
"Read",
"system",
"default",
"locale",
"setting",
"if",
"present"
] | def read_system_locale(sys_path=LOCALE_CONF_FN, keyname="LANG"):
"""Read system default locale setting, if present"""
sys_val = ""
if not sys_path:
raise ValueError("Invalid path: %s" % sys_path)
if os.path.exists(sys_path):
locale_content = util.load_file(sys_path)
sys_defaults... | [
"def",
"read_system_locale",
"(",
"sys_path",
"=",
"LOCALE_CONF_FN",
",",
"keyname",
"=",
"\"LANG\"",
")",
":",
"sys_val",
"=",
"\"\"",
"if",
"not",
"sys_path",
":",
"raise",
"ValueError",
"(",
"\"Invalid path: %s\"",
"%",
"sys_path",
")",
"if",
"os",
".",
"... | https://github.com/number5/cloud-init/blob/19948dbaf40309355e1a2dbef116efb0ce66245c/cloudinit/distros/debian.py#L348-L359 | |
spotify/luigi | c3b66f4a5fa7eaa52f9a72eb6704b1049035c789 | luigi/contrib/rdbms.py | python | CopyToTable.init_copy | (self, connection) | Override to perform custom queries.
Any code here will be formed in the same transaction as the main copy, just prior to copying data.
Example use cases include truncating the table or removing all data older than X in the database
to keep a rolling window of data available in the table. | Override to perform custom queries. | [
"Override",
"to",
"perform",
"custom",
"queries",
"."
] | def init_copy(self, connection):
"""
Override to perform custom queries.
Any code here will be formed in the same transaction as the main copy, just prior to copying data.
Example use cases include truncating the table or removing all data older than X in the database
to keep a ... | [
"def",
"init_copy",
"(",
"self",
",",
"connection",
")",
":",
"# TODO: remove this after sufficient time so most people using the",
"# clear_table attribtue will have noticed it doesn't work anymore",
"if",
"hasattr",
"(",
"self",
",",
"\"clear_table\"",
")",
":",
"raise",
"Exc... | https://github.com/spotify/luigi/blob/c3b66f4a5fa7eaa52f9a72eb6704b1049035c789/luigi/contrib/rdbms.py#L237-L252 | ||
dfirtrack/dfirtrack | d405e9e2520f3f95372883e6543fa2aa7dac0121 | dfirtrack_main/exporter/markdown/write_report.py | python | write_headline | (django_report, system) | write headline | write headline | [
"write",
"headline"
] | def write_headline(django_report, system):
"""write headline"""
django_report.write("# " + system.system_name + "\n")
emptyline(django_report) | [
"def",
"write_headline",
"(",
"django_report",
",",
"system",
")",
":",
"django_report",
".",
"write",
"(",
"\"# \"",
"+",
"system",
".",
"system_name",
"+",
"\"\\n\"",
")",
"emptyline",
"(",
"django_report",
")"
] | https://github.com/dfirtrack/dfirtrack/blob/d405e9e2520f3f95372883e6543fa2aa7dac0121/dfirtrack_main/exporter/markdown/write_report.py#L9-L13 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.