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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GiulioRossetti/cdlib | b2c6311b99725bb2b029556f531d244a2af14a2a | cdlib/algorithms/crisp_partition.py | python | rb_pots | (
g_original: object,
initial_membership: list = None,
weights: list = None,
resolution_parameter: float = 1,
) | return NodeClustering(
coms,
g_original,
"RB Pots",
method_parameters={
"initial_membership": initial_membership,
"weights": weights,
"resolution_parameter": resolution_parameter,
},
) | Rb_pots is a model where the quality function to optimize is:
.. math:: Q = \\sum_{ij} \\left(A_{ij} - \\gamma \\frac{k_i k_j}{2m} \\right)\\delta(\\sigma_i, \\sigma_j)
where :math:`A` is the adjacency matrix, :math:`k_i` is the (weighted) degree of node :math:`i`, :math:`m` is the total number of edges (or t... | Rb_pots is a model where the quality function to optimize is: | [
"Rb_pots",
"is",
"a",
"model",
"where",
"the",
"quality",
"function",
"to",
"optimize",
"is",
":"
] | def rb_pots(
g_original: object,
initial_membership: list = None,
weights: list = None,
resolution_parameter: float = 1,
) -> NodeClustering:
"""
Rb_pots is a model where the quality function to optimize is:
.. math:: Q = \\sum_{ij} \\left(A_{ij} - \\gamma \\frac{k_i k_j}{2m} \\right)\\delt... | [
"def",
"rb_pots",
"(",
"g_original",
":",
"object",
",",
"initial_membership",
":",
"list",
"=",
"None",
",",
"weights",
":",
"list",
"=",
"None",
",",
"resolution_parameter",
":",
"float",
"=",
"1",
",",
")",
"->",
"NodeClustering",
":",
"if",
"ig",
"is... | https://github.com/GiulioRossetti/cdlib/blob/b2c6311b99725bb2b029556f531d244a2af14a2a/cdlib/algorithms/crisp_partition.py#L598-L672 | |
CoinAlpha/hummingbot | 36f6149c1644c07cd36795b915f38b8f49b798e7 | hummingbot/connector/exchange/okex/okex_api_user_stream_data_source.py | python | OkexAPIUserStreamDataSource._authenticate_client | (self) | Sends an Authentication request to OKEx's WebSocket API Server | Sends an Authentication request to OKEx's WebSocket API Server | [
"Sends",
"an",
"Authentication",
"request",
"to",
"OKEx",
"s",
"WebSocket",
"API",
"Server"
] | async def _authenticate_client(self):
"""
Sends an Authentication request to OKEx's WebSocket API Server
"""
await self._websocket_connection.send(json.dumps(self._auth.generate_ws_auth()))
resp = await self._websocket_connection.recv()
msg = json.loads(resp)
if... | [
"async",
"def",
"_authenticate_client",
"(",
"self",
")",
":",
"await",
"self",
".",
"_websocket_connection",
".",
"send",
"(",
"json",
".",
"dumps",
"(",
"self",
".",
"_auth",
".",
"generate_ws_auth",
"(",
")",
")",
")",
"resp",
"=",
"await",
"self",
".... | https://github.com/CoinAlpha/hummingbot/blob/36f6149c1644c07cd36795b915f38b8f49b798e7/hummingbot/connector/exchange/okex/okex_api_user_stream_data_source.py#L50-L62 | ||
tomplus/kubernetes_asyncio | f028cc793e3a2c519be6a52a49fb77ff0b014c9b | kubernetes_asyncio/client/models/v2beta1_resource_metric_status.py | python | V2beta1ResourceMetricStatus.current_average_utilization | (self) | return self._current_average_utilization | Gets the current_average_utilization of this V2beta1ResourceMetricStatus. # noqa: E501
currentAverageUtilization is the current value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods. It will only be present if `ta... | Gets the current_average_utilization of this V2beta1ResourceMetricStatus. # noqa: E501 | [
"Gets",
"the",
"current_average_utilization",
"of",
"this",
"V2beta1ResourceMetricStatus",
".",
"#",
"noqa",
":",
"E501"
] | def current_average_utilization(self):
"""Gets the current_average_utilization of this V2beta1ResourceMetricStatus. # noqa: E501
currentAverageUtilization is the current value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the reso... | [
"def",
"current_average_utilization",
"(",
"self",
")",
":",
"return",
"self",
".",
"_current_average_utilization"
] | https://github.com/tomplus/kubernetes_asyncio/blob/f028cc793e3a2c519be6a52a49fb77ff0b014c9b/kubernetes_asyncio/client/models/v2beta1_resource_metric_status.py#L64-L72 | |
alanhamlett/pip-update-requirements | ce875601ef278c8ce00ad586434a978731525561 | pur/packages/pip/_vendor/ipaddress.py | python | _split_optional_netmask | (address) | return addr | Helper to split the netmask and raise AddressValueError if needed | Helper to split the netmask and raise AddressValueError if needed | [
"Helper",
"to",
"split",
"the",
"netmask",
"and",
"raise",
"AddressValueError",
"if",
"needed"
] | def _split_optional_netmask(address):
"""Helper to split the netmask and raise AddressValueError if needed"""
addr = _compat_str(address).split('/')
if len(addr) > 2:
raise AddressValueError("Only one '/' permitted in %r" % address)
return addr | [
"def",
"_split_optional_netmask",
"(",
"address",
")",
":",
"addr",
"=",
"_compat_str",
"(",
"address",
")",
".",
"split",
"(",
"'/'",
")",
"if",
"len",
"(",
"addr",
")",
">",
"2",
":",
"raise",
"AddressValueError",
"(",
"\"Only one '/' permitted in %r\"",
"... | https://github.com/alanhamlett/pip-update-requirements/blob/ce875601ef278c8ce00ad586434a978731525561/pur/packages/pip/_vendor/ipaddress.py#L278-L283 | |
bernwang/latte | b30ea4ee95efdbf52a274f504cb9920c5695acf9 | app/Mask_RCNN/model.py | python | generate_random_rois | (image_shape, count, gt_class_ids, gt_boxes) | return rois | Generates ROI proposals similar to what a region proposal network
would generate.
image_shape: [Height, Width, Depth]
count: Number of ROIs to generate
gt_class_ids: [N] Integer ground truth class IDs
gt_boxes: [N, (y1, x1, y2, x2)] Ground truth boxes in pixels.
Returns: [count, (y1, x1, y2, x... | Generates ROI proposals similar to what a region proposal network
would generate. | [
"Generates",
"ROI",
"proposals",
"similar",
"to",
"what",
"a",
"region",
"proposal",
"network",
"would",
"generate",
"."
] | def generate_random_rois(image_shape, count, gt_class_ids, gt_boxes):
"""Generates ROI proposals similar to what a region proposal network
would generate.
image_shape: [Height, Width, Depth]
count: Number of ROIs to generate
gt_class_ids: [N] Integer ground truth class IDs
gt_boxes: [N, (y1, x1... | [
"def",
"generate_random_rois",
"(",
"image_shape",
",",
"count",
",",
"gt_class_ids",
",",
"gt_boxes",
")",
":",
"# placeholder",
"rois",
"=",
"np",
".",
"zeros",
"(",
"(",
"count",
",",
"4",
")",
",",
"dtype",
"=",
"np",
".",
"int32",
")",
"# Generate r... | https://github.com/bernwang/latte/blob/b30ea4ee95efdbf52a274f504cb9920c5695acf9/app/Mask_RCNN/model.py#L1469-L1540 | |
akaraspt/deepsleepnet | d4906b4875547a45175eaba8bdde280b7b1496f1 | tensorlayer/files.py | python | maybe_download_and_extract | (filename, working_directory, url_source, extract=False, expected_bytes=None) | return filepath | Checks if file exists in working_directory otherwise tries to dowload the file,
and optionally also tries to extract the file if format is ".zip" or ".tar"
Parameters
----------
filename : string
The name of the (to be) dowloaded file.
working_directory : string
A folder path to sea... | Checks if file exists in working_directory otherwise tries to dowload the file,
and optionally also tries to extract the file if format is ".zip" or ".tar" | [
"Checks",
"if",
"file",
"exists",
"in",
"working_directory",
"otherwise",
"tries",
"to",
"dowload",
"the",
"file",
"and",
"optionally",
"also",
"tries",
"to",
"extract",
"the",
"file",
"if",
"format",
"is",
".",
"zip",
"or",
".",
"tar"
] | def maybe_download_and_extract(filename, working_directory, url_source, extract=False, expected_bytes=None):
"""Checks if file exists in working_directory otherwise tries to dowload the file,
and optionally also tries to extract the file if format is ".zip" or ".tar"
Parameters
----------
filename ... | [
"def",
"maybe_download_and_extract",
"(",
"filename",
",",
"working_directory",
",",
"url_source",
",",
"extract",
"=",
"False",
",",
"expected_bytes",
"=",
"None",
")",
":",
"# We first define a download function, supporting both Python 2 and 3.",
"def",
"_download",
"(",
... | https://github.com/akaraspt/deepsleepnet/blob/d4906b4875547a45175eaba8bdde280b7b1496f1/tensorlayer/files.py#L791-L858 | |
emesene/emesene | 4548a4098310e21b16437bb36223a7f632a4f7bc | emesene/gui/qt4ui/widgets/NickEdit.py | python | QLabelEmph.text | (self) | return self._text | Returns the text | Returns the text | [
"Returns",
"the",
"text"
] | def text(self):
'''Returns the text'''
return self._text | [
"def",
"text",
"(",
"self",
")",
":",
"return",
"self",
".",
"_text"
] | https://github.com/emesene/emesene/blob/4548a4098310e21b16437bb36223a7f632a4f7bc/emesene/gui/qt4ui/widgets/NickEdit.py#L130-L132 | |
threat9/routersploit | 3fd394637f5566c4cf6369eecae08c4d27f93cda | routersploit/core/exploit/exploit.py | python | BaseExploit.options | (self) | return list(self.exploit_attributes.keys()) | Returns list of options that user can set.
Returns list of options aggregated by
ExploitionOptionsAggegator metaclass that user can set.
:return: list of options that user can set | Returns list of options that user can set. | [
"Returns",
"list",
"of",
"options",
"that",
"user",
"can",
"set",
"."
] | def options(self):
""" Returns list of options that user can set.
Returns list of options aggregated by
ExploitionOptionsAggegator metaclass that user can set.
:return: list of options that user can set
"""
return list(self.exploit_attributes.keys()) | [
"def",
"options",
"(",
"self",
")",
":",
"return",
"list",
"(",
"self",
".",
"exploit_attributes",
".",
"keys",
"(",
")",
")"
] | https://github.com/threat9/routersploit/blob/3fd394637f5566c4cf6369eecae08c4d27f93cda/routersploit/core/exploit/exploit.py#L60-L69 | |
kra3/py-ga-mob | 523de72dbf4070d9de3e9b78aee8c9777bc53107 | pyga/entities.py | python | CustomVariable.validate | (self) | According to the GA documentation, there is a limit to the combined size of
name and value of 64 bytes after URL encoding,
see http://code.google.com/apis/analytics/docs/tracking/gaTrackingCustomVariables.html#varTypes
and http://xahlee.org/js/google_analytics_tracker_2010-07-01_expanded.js line... | According to the GA documentation, there is a limit to the combined size of
name and value of 64 bytes after URL encoding,
see http://code.google.com/apis/analytics/docs/tracking/gaTrackingCustomVariables.html#varTypes
and http://xahlee.org/js/google_analytics_tracker_2010-07-01_expanded.js line... | [
"According",
"to",
"the",
"GA",
"documentation",
"there",
"is",
"a",
"limit",
"to",
"the",
"combined",
"size",
"of",
"name",
"and",
"value",
"of",
"64",
"bytes",
"after",
"URL",
"encoding",
"see",
"http",
":",
"//",
"code",
".",
"google",
".",
"com",
"... | def validate(self):
'''
According to the GA documentation, there is a limit to the combined size of
name and value of 64 bytes after URL encoding,
see http://code.google.com/apis/analytics/docs/tracking/gaTrackingCustomVariables.html#varTypes
and http://xahlee.org/js/google_analy... | [
"def",
"validate",
"(",
"self",
")",
":",
"if",
"len",
"(",
"'%s%s'",
"%",
"(",
"self",
".",
"name",
",",
"self",
".",
"value",
")",
")",
">",
"128",
":",
"raise",
"exceptions",
".",
"ValidationError",
"(",
"'Custom Variable combined name and value length mu... | https://github.com/kra3/py-ga-mob/blob/523de72dbf4070d9de3e9b78aee8c9777bc53107/pyga/entities.py#L173-L183 | ||
googleads/google-ads-python | 2a1d6062221f6aad1992a6bcca0e7e4a93d2db86 | google/ads/googleads/v9/services/services/ad_group_criterion_customizer_service/client.py | python | AdGroupCriterionCustomizerServiceClient.parse_customizer_attribute_path | (path: str) | return m.groupdict() if m else {} | Parse a customizer_attribute path into its component segments. | Parse a customizer_attribute path into its component segments. | [
"Parse",
"a",
"customizer_attribute",
"path",
"into",
"its",
"component",
"segments",
"."
] | def parse_customizer_attribute_path(path: str) -> Dict[str, str]:
"""Parse a customizer_attribute path into its component segments."""
m = re.match(
r"^customers/(?P<customer_id>.+?)/customizerAttributes/(?P<customizer_attribute_id>.+?)$",
path,
)
return m.groupdi... | [
"def",
"parse_customizer_attribute_path",
"(",
"path",
":",
"str",
")",
"->",
"Dict",
"[",
"str",
",",
"str",
"]",
":",
"m",
"=",
"re",
".",
"match",
"(",
"r\"^customers/(?P<customer_id>.+?)/customizerAttributes/(?P<customizer_attribute_id>.+?)$\"",
",",
"path",
",",
... | https://github.com/googleads/google-ads-python/blob/2a1d6062221f6aad1992a6bcca0e7e4a93d2db86/google/ads/googleads/v9/services/services/ad_group_criterion_customizer_service/client.py#L236-L242 | |
kanzure/nanoengineer | 874e4c9f8a9190f093625b267f9767e19f82e6c4 | cad/src/graphics/drawing/ColorSortedDisplayList.py | python | ColorSortedDisplayList.__del__ | (self) | return | Called by Python when an object is being freed. | Called by Python when an object is being freed. | [
"Called",
"by",
"Python",
"when",
"an",
"object",
"is",
"being",
"freed",
"."
] | def __del__(self): # Russ 080915
"""
Called by Python when an object is being freed.
"""
self.destroy()
return | [
"def",
"__del__",
"(",
"self",
")",
":",
"# Russ 080915",
"self",
".",
"destroy",
"(",
")",
"return"
] | https://github.com/kanzure/nanoengineer/blob/874e4c9f8a9190f093625b267f9767e19f82e6c4/cad/src/graphics/drawing/ColorSortedDisplayList.py#L975-L980 | |
letmaik/rawpy | 183b36ee49268d2f9097ceb88d573b552e4f5919 | rawpy/__init__.py | python | imread | (pathOrFile) | return d | Convenience function that creates a :class:`rawpy.RawPy` instance, opens the given file,
and returns the :class:`rawpy.RawPy` instance for further processing.
:param str|file pathOrFile: path or file object of RAW image that will be read
:rtype: :class:`rawpy.RawPy` | Convenience function that creates a :class:`rawpy.RawPy` instance, opens the given file,
and returns the :class:`rawpy.RawPy` instance for further processing.
:param str|file pathOrFile: path or file object of RAW image that will be read
:rtype: :class:`rawpy.RawPy` | [
"Convenience",
"function",
"that",
"creates",
"a",
":",
"class",
":",
"rawpy",
".",
"RawPy",
"instance",
"opens",
"the",
"given",
"file",
"and",
"returns",
"the",
":",
"class",
":",
"rawpy",
".",
"RawPy",
"instance",
"for",
"further",
"processing",
".",
":... | def imread(pathOrFile):
"""
Convenience function that creates a :class:`rawpy.RawPy` instance, opens the given file,
and returns the :class:`rawpy.RawPy` instance for further processing.
:param str|file pathOrFile: path or file object of RAW image that will be read
:rtype: :class:`rawpy.RawPy`
... | [
"def",
"imread",
"(",
"pathOrFile",
")",
":",
"d",
"=",
"RawPy",
"(",
")",
"if",
"hasattr",
"(",
"pathOrFile",
",",
"'read'",
")",
":",
"d",
".",
"open_buffer",
"(",
"pathOrFile",
")",
"else",
":",
"d",
".",
"open_file",
"(",
"pathOrFile",
")",
"retu... | https://github.com/letmaik/rawpy/blob/183b36ee49268d2f9097ceb88d573b552e4f5919/rawpy/__init__.py#L8-L21 | |
tensorflow/privacy | 867f3d4c5566b21433a6a1bed998094d1479b4d5 | tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query.py | python | QuantileAdaptiveClipSumQuery.initial_sample_state | (self, template) | return self._SampleState(
self._sum_query.initial_sample_state(template),
self._quantile_estimator_query.initial_sample_state()) | Implements `tensorflow_privacy.DPQuery.initial_sample_state`. | Implements `tensorflow_privacy.DPQuery.initial_sample_state`. | [
"Implements",
"tensorflow_privacy",
".",
"DPQuery",
".",
"initial_sample_state",
"."
] | def initial_sample_state(self, template):
"""Implements `tensorflow_privacy.DPQuery.initial_sample_state`."""
return self._SampleState(
self._sum_query.initial_sample_state(template),
self._quantile_estimator_query.initial_sample_state()) | [
"def",
"initial_sample_state",
"(",
"self",
",",
"template",
")",
":",
"return",
"self",
".",
"_SampleState",
"(",
"self",
".",
"_sum_query",
".",
"initial_sample_state",
"(",
"template",
")",
",",
"self",
".",
"_quantile_estimator_query",
".",
"initial_sample_sta... | https://github.com/tensorflow/privacy/blob/867f3d4c5566b21433a6a1bed998094d1479b4d5/tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query.py#L109-L113 | |
Jenyay/outwiker | 50530cf7b3f71480bb075b2829bc0669773b835b | plugins/updatenotifier/updatenotifier/libs/jinja2/bccache.py | python | BytecodeCache.get_cache_key | (self, name, filename=None) | return hash.hexdigest() | Returns the unique hash key for this template name. | Returns the unique hash key for this template name. | [
"Returns",
"the",
"unique",
"hash",
"key",
"for",
"this",
"template",
"name",
"."
] | def get_cache_key(self, name, filename=None):
"""Returns the unique hash key for this template name."""
hash = sha1(name.encode('utf-8'))
if filename is not None:
filename = '|' + filename
if isinstance(filename, text_type):
filename = filename.encode('utf... | [
"def",
"get_cache_key",
"(",
"self",
",",
"name",
",",
"filename",
"=",
"None",
")",
":",
"hash",
"=",
"sha1",
"(",
"name",
".",
"encode",
"(",
"'utf-8'",
")",
")",
"if",
"filename",
"is",
"not",
"None",
":",
"filename",
"=",
"'|'",
"+",
"filename",
... | https://github.com/Jenyay/outwiker/blob/50530cf7b3f71480bb075b2829bc0669773b835b/plugins/updatenotifier/updatenotifier/libs/jinja2/bccache.py#L166-L174 | |
1040003585/WebScrapingWithPython | a770fa5b03894076c8c9539b1ffff34424ffc016 | ResourceCode/wswp-places-c573d29efa3a/web2py/scripts/sync_languages.py | python | sync_language | (d, data) | return d | this function makes sure a translated string will be prefered over an untranslated
string when syncing languages between apps. when both are translated, it prefers the
latter app, as did the original script | this function makes sure a translated string will be prefered over an untranslated
string when syncing languages between apps. when both are translated, it prefers the
latter app, as did the original script | [
"this",
"function",
"makes",
"sure",
"a",
"translated",
"string",
"will",
"be",
"prefered",
"over",
"an",
"untranslated",
"string",
"when",
"syncing",
"languages",
"between",
"apps",
".",
"when",
"both",
"are",
"translated",
"it",
"prefers",
"the",
"latter",
"... | def sync_language(d, data):
''' this function makes sure a translated string will be prefered over an untranslated
string when syncing languages between apps. when both are translated, it prefers the
latter app, as did the original script
'''
for key in data:
# if this string is not in the ... | [
"def",
"sync_language",
"(",
"d",
",",
"data",
")",
":",
"for",
"key",
"in",
"data",
":",
"# if this string is not in the allready translated data, add it",
"if",
"key",
"not",
"in",
"d",
":",
"d",
"[",
"key",
"]",
"=",
"data",
"[",
"key",
"]",
"# see if the... | https://github.com/1040003585/WebScrapingWithPython/blob/a770fa5b03894076c8c9539b1ffff34424ffc016/ResourceCode/wswp-places-c573d29efa3a/web2py/scripts/sync_languages.py#L14-L34 | |
pythondigest/pythondigest | 38acb6a04cfaf16fad48b31d0f7f4602a641165f | jobs/management/commands/import_jobs.py | python | is_not_excl | (words: list, item: dict) | return not bool([i for _, x in item.items() for i in words if i in str(x)]) | Возвращает True если ни один из элементов item
не содержит слов из списка на исключения
:param words:
:param item:
:return: | Возвращает True если ни один из элементов item
не содержит слов из списка на исключения
:param words:
:param item:
:return: | [
"Возвращает",
"True",
"если",
"ни",
"один",
"из",
"элементов",
"item",
"не",
"содержит",
"слов",
"из",
"списка",
"на",
"исключения",
":",
"param",
"words",
":",
":",
"param",
"item",
":",
":",
"return",
":"
] | def is_not_excl(words: list, item: dict) -> bool:
"""
Возвращает True если ни один из элементов item
не содержит слов из списка на исключения
:param words:
:param item:
:return:
"""
return not bool([i for _, x in item.items() for i in words if i in str(x)]) | [
"def",
"is_not_excl",
"(",
"words",
":",
"list",
",",
"item",
":",
"dict",
")",
"->",
"bool",
":",
"return",
"not",
"bool",
"(",
"[",
"i",
"for",
"_",
",",
"x",
"in",
"item",
".",
"items",
"(",
")",
"for",
"i",
"in",
"words",
"if",
"i",
"in",
... | https://github.com/pythondigest/pythondigest/blob/38acb6a04cfaf16fad48b31d0f7f4602a641165f/jobs/management/commands/import_jobs.py#L99-L107 | |
JaniceWuo/MovieRecommend | 4c86db64ca45598917d304f535413df3bc9fea65 | movierecommend/venv1/Lib/site-packages/django/db/models/functions/base.py | python | Substr.as_sqlite | (self, compiler, connection) | return super(Substr, self).as_sql(compiler, connection, function='SUBSTR') | [] | def as_sqlite(self, compiler, connection):
return super(Substr, self).as_sql(compiler, connection, function='SUBSTR') | [
"def",
"as_sqlite",
"(",
"self",
",",
"compiler",
",",
"connection",
")",
":",
"return",
"super",
"(",
"Substr",
",",
"self",
")",
".",
"as_sql",
"(",
"compiler",
",",
"connection",
",",
"function",
"=",
"'SUBSTR'",
")"
] | https://github.com/JaniceWuo/MovieRecommend/blob/4c86db64ca45598917d304f535413df3bc9fea65/movierecommend/venv1/Lib/site-packages/django/db/models/functions/base.py#L216-L217 | |||
iGio90/Dwarf | bb3011cdffd209c7e3f5febe558053bf649ca69c | dwarf_debugger/ui/panels/panel_objc_inspector.py | python | ObjCInspector._on_enumerate_objc_modules | (self, modules) | Fills the ModulesList with data | Fills the ModulesList with data | [
"Fills",
"the",
"ModulesList",
"with",
"data"
] | def _on_enumerate_objc_modules(self, modules):
""" Fills the ModulesList with data
"""
if self._ObjC_modules is None:
return
self._ObjC_modules.clear()
for module in modules:
self.add_module(module) | [
"def",
"_on_enumerate_objc_modules",
"(",
"self",
",",
"modules",
")",
":",
"if",
"self",
".",
"_ObjC_modules",
"is",
"None",
":",
"return",
"self",
".",
"_ObjC_modules",
".",
"clear",
"(",
")",
"for",
"module",
"in",
"modules",
":",
"self",
".",
"add_modu... | https://github.com/iGio90/Dwarf/blob/bb3011cdffd209c7e3f5febe558053bf649ca69c/dwarf_debugger/ui/panels/panel_objc_inspector.py#L267-L275 | ||
demisto/content | 5c664a65b992ac8ca90ac3f11b1b2cdf11ee9b07 | Packs/BmcHelixRemedyForce/Integrations/BmcHelixRemedyForce/BMCHelixRemedyforce.py | python | remove_extra_space_from_args | (args: Dict[str, str]) | return {key: value.strip() for (key, value) in args.items() if value and len(value.strip()) > 0} | Remove leading and trailing spaces from all the arguments and remove empty arguments
:param args: Dictionary of arguments
:return: Dictionary of arguments | Remove leading and trailing spaces from all the arguments and remove empty arguments
:param args: Dictionary of arguments
:return: Dictionary of arguments | [
"Remove",
"leading",
"and",
"trailing",
"spaces",
"from",
"all",
"the",
"arguments",
"and",
"remove",
"empty",
"arguments",
":",
"param",
"args",
":",
"Dictionary",
"of",
"arguments",
":",
"return",
":",
"Dictionary",
"of",
"arguments"
] | def remove_extra_space_from_args(args: Dict[str, str]) -> Dict[str, str]:
"""
Remove leading and trailing spaces from all the arguments and remove empty arguments
:param args: Dictionary of arguments
:return: Dictionary of arguments
"""
return {key: value.strip() for (key, value) in args.items()... | [
"def",
"remove_extra_space_from_args",
"(",
"args",
":",
"Dict",
"[",
"str",
",",
"str",
"]",
")",
"->",
"Dict",
"[",
"str",
",",
"str",
"]",
":",
"return",
"{",
"key",
":",
"value",
".",
"strip",
"(",
")",
"for",
"(",
"key",
",",
"value",
")",
"... | https://github.com/demisto/content/blob/5c664a65b992ac8ca90ac3f11b1b2cdf11ee9b07/Packs/BmcHelixRemedyForce/Integrations/BmcHelixRemedyForce/BMCHelixRemedyforce.py#L1499-L1505 | |
securesystemslab/zippy | ff0e84ac99442c2c55fe1d285332cfd4e185e089 | zippy/benchmarks/src/benchmarks/sympy/sympy/utilities/autowrap.py | python | binary_function | (symfunc, expr, **kwargs) | return implemented_function(symfunc, binary) | Returns a sympy function with expr as binary implementation
This is a convenience function that automates the steps needed to
autowrap the SymPy expression and attaching it to a Function object
with implemented_function().
>>> from sympy.abc import x, y
>>> from sympy.utilities.autowrap import bin... | Returns a sympy function with expr as binary implementation | [
"Returns",
"a",
"sympy",
"function",
"with",
"expr",
"as",
"binary",
"implementation"
] | def binary_function(symfunc, expr, **kwargs):
"""Returns a sympy function with expr as binary implementation
This is a convenience function that automates the steps needed to
autowrap the SymPy expression and attaching it to a Function object
with implemented_function().
>>> from sympy.abc import ... | [
"def",
"binary_function",
"(",
"symfunc",
",",
"expr",
",",
"*",
"*",
"kwargs",
")",
":",
"binary",
"=",
"autowrap",
"(",
"expr",
",",
"*",
"*",
"kwargs",
")",
"return",
"implemented_function",
"(",
"symfunc",
",",
"binary",
")"
] | https://github.com/securesystemslab/zippy/blob/ff0e84ac99442c2c55fe1d285332cfd4e185e089/zippy/benchmarks/src/benchmarks/sympy/sympy/utilities/autowrap.py#L409-L428 | |
Q2h1Cg/CMS-Exploit-Framework | 6bc54e33f316c81f97e16e10b12c7da589efbbd4 | lib/requests/sessions.py | python | Session.head | (self, url, **kwargs) | return self.request('HEAD', url, **kwargs) | Sends a HEAD request. Returns :class:`Response` object.
:param url: URL for the new :class:`Request` object.
:param \*\*kwargs: Optional arguments that ``request`` takes. | Sends a HEAD request. Returns :class:`Response` object. | [
"Sends",
"a",
"HEAD",
"request",
".",
"Returns",
":",
"class",
":",
"Response",
"object",
"."
] | def head(self, url, **kwargs):
"""Sends a HEAD request. Returns :class:`Response` object.
:param url: URL for the new :class:`Request` object.
:param \*\*kwargs: Optional arguments that ``request`` takes.
"""
kwargs.setdefault('allow_redirects', False)
return self.reque... | [
"def",
"head",
"(",
"self",
",",
"url",
",",
"*",
"*",
"kwargs",
")",
":",
"kwargs",
".",
"setdefault",
"(",
"'allow_redirects'",
",",
"False",
")",
"return",
"self",
".",
"request",
"(",
"'HEAD'",
",",
"url",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/Q2h1Cg/CMS-Exploit-Framework/blob/6bc54e33f316c81f97e16e10b12c7da589efbbd4/lib/requests/sessions.py#L407-L415 | |
arizvisa/ida-minsc | 8627a60f047b5e55d3efeecde332039cd1a16eea | base/instruction.py | python | size | () | return size(ui.current.address()) | Returns the length of the instruction at the current address. | Returns the length of the instruction at the current address. | [
"Returns",
"the",
"length",
"of",
"the",
"instruction",
"at",
"the",
"current",
"address",
"."
] | def size():
'''Returns the length of the instruction at the current address.'''
return size(ui.current.address()) | [
"def",
"size",
"(",
")",
":",
"return",
"size",
"(",
"ui",
".",
"current",
".",
"address",
"(",
")",
")"
] | https://github.com/arizvisa/ida-minsc/blob/8627a60f047b5e55d3efeecde332039cd1a16eea/base/instruction.py#L123-L125 | |
RasaHQ/rasa | 54823b68c1297849ba7ae841a4246193cd1223a1 | rasa/engine/recipes/recipe.py | python | Recipe.graph_config_for_recipe | (
self,
config: Dict,
cli_parameters: Dict[Text, Any],
training_type: TrainingType = TrainingType.BOTH,
is_finetuning: bool = False,
) | Converts a config to a graph compatible model configuration.
Args:
config: The config which the `Recipe` is supposed to convert.
cli_parameters: Potential CLI params which should be interpolated into the
components configs.
training_type: The current training... | Converts a config to a graph compatible model configuration. | [
"Converts",
"a",
"config",
"to",
"a",
"graph",
"compatible",
"model",
"configuration",
"."
] | def graph_config_for_recipe(
self,
config: Dict,
cli_parameters: Dict[Text, Any],
training_type: TrainingType = TrainingType.BOTH,
is_finetuning: bool = False,
) -> GraphModelConfiguration:
"""Converts a config to a graph compatible model configuration.
Args:... | [
"def",
"graph_config_for_recipe",
"(",
"self",
",",
"config",
":",
"Dict",
",",
"cli_parameters",
":",
"Dict",
"[",
"Text",
",",
"Any",
"]",
",",
"training_type",
":",
"TrainingType",
"=",
"TrainingType",
".",
"BOTH",
",",
"is_finetuning",
":",
"bool",
"=",
... | https://github.com/RasaHQ/rasa/blob/54823b68c1297849ba7ae841a4246193cd1223a1/rasa/engine/recipes/recipe.py#L53-L76 | ||
thmoa/octopus | cb9e6b68b9d995241c3d30538d4f33740a446353 | smpl/batch_smpl.py | python | undo_chumpy | (x) | return x if isinstance(x, np.ndarray) else x.r | [] | def undo_chumpy(x):
return x if isinstance(x, np.ndarray) else x.r | [
"def",
"undo_chumpy",
"(",
"x",
")",
":",
"return",
"x",
"if",
"isinstance",
"(",
"x",
",",
"np",
".",
"ndarray",
")",
"else",
"x",
".",
"r"
] | https://github.com/thmoa/octopus/blob/cb9e6b68b9d995241c3d30538d4f33740a446353/smpl/batch_smpl.py#L56-L57 | |||
scour-project/scour | 0609c596766ec98e4e2092b49bd03b802702ba1a | scour/svg_regex.py | python | SVGPathParser.rule_coordinate | (self, next_val_fn, token) | return x, token | [] | def rule_coordinate(self, next_val_fn, token):
if token[0] not in self.number_tokens:
raise SyntaxError("expecting a number; got %r" % (token,))
x = getcontext().create_decimal(token[1])
token = next_val_fn()
return x, token | [
"def",
"rule_coordinate",
"(",
"self",
",",
"next_val_fn",
",",
"token",
")",
":",
"if",
"token",
"[",
"0",
"]",
"not",
"in",
"self",
".",
"number_tokens",
":",
"raise",
"SyntaxError",
"(",
"\"expecting a number; got %r\"",
"%",
"(",
"token",
",",
")",
")"... | https://github.com/scour-project/scour/blob/0609c596766ec98e4e2092b49bd03b802702ba1a/scour/svg_regex.py#L282-L287 | |||
minerllabs/minerl | 0123527c334c96ebb3f0cf313df1552fa4302691 | minerl/herobraine/hero/handlers/agent/action.py | python | Action.__init__ | (self, command: str, space: spaces.MineRLSpace) | Initializes the space of the handler with a gym.spaces.Dict
of all of the spaces for each individual command. | Initializes the space of the handler with a gym.spaces.Dict
of all of the spaces for each individual command. | [
"Initializes",
"the",
"space",
"of",
"the",
"handler",
"with",
"a",
"gym",
".",
"spaces",
".",
"Dict",
"of",
"all",
"of",
"the",
"spaces",
"for",
"each",
"individual",
"command",
"."
] | def __init__(self, command: str, space: spaces.MineRLSpace):
"""
Initializes the space of the handler with a gym.spaces.Dict
of all of the spaces for each individual command.
"""
self._command = command
super().__init__(space) | [
"def",
"__init__",
"(",
"self",
",",
"command",
":",
"str",
",",
"space",
":",
"spaces",
".",
"MineRLSpace",
")",
":",
"self",
".",
"_command",
"=",
"command",
"super",
"(",
")",
".",
"__init__",
"(",
"space",
")"
] | https://github.com/minerllabs/minerl/blob/0123527c334c96ebb3f0cf313df1552fa4302691/minerl/herobraine/hero/handlers/agent/action.py#L23-L29 | ||
xonsh/xonsh | b76d6f994f22a4078f602f8b386f4ec280c8461f | xonsh/parsers/base.py | python | BaseParser.p_subproc_atoms_single | (self, p) | subproc_atoms : subproc_atom | subproc_atoms : subproc_atom | [
"subproc_atoms",
":",
"subproc_atom"
] | def p_subproc_atoms_single(self, p):
"""subproc_atoms : subproc_atom"""
p[0] = [p[1]] | [
"def",
"p_subproc_atoms_single",
"(",
"self",
",",
"p",
")",
":",
"p",
"[",
"0",
"]",
"=",
"[",
"p",
"[",
"1",
"]",
"]"
] | https://github.com/xonsh/xonsh/blob/b76d6f994f22a4078f602f8b386f4ec280c8461f/xonsh/parsers/base.py#L3130-L3132 | ||
WenmuZhou/DBNet.pytorch | 678b2ae55e018c6c16d5ac182558517a154a91ed | data_loader/modules/make_border_map.py | python | MakeBorderMap.draw_border_map | (self, polygon, canvas, mask) | [] | def draw_border_map(self, polygon, canvas, mask):
polygon = np.array(polygon)
assert polygon.ndim == 2
assert polygon.shape[1] == 2
polygon_shape = Polygon(polygon)
if polygon_shape.area <= 0:
return
distance = polygon_shape.area * (1 - np.power(self.shrink_r... | [
"def",
"draw_border_map",
"(",
"self",
",",
"polygon",
",",
"canvas",
",",
"mask",
")",
":",
"polygon",
"=",
"np",
".",
"array",
"(",
"polygon",
")",
"assert",
"polygon",
".",
"ndim",
"==",
"2",
"assert",
"polygon",
".",
"shape",
"[",
"1",
"]",
"==",... | https://github.com/WenmuZhou/DBNet.pytorch/blob/678b2ae55e018c6c16d5ac182558517a154a91ed/data_loader/modules/make_border_map.py#L37-L85 | ||||
ywangd/stash | 773d15b8fb3853a65c15fe160bf5584c99437170 | system/shhistory.py | python | ShHistory.add | (self, line, always=False) | Add a line to the history.
:param line: line to add to history
:type line: str
:param always: always add this line, regardless of config
:type always: bool | Add a line to the history.
:param line: line to add to history
:type line: str
:param always: always add this line, regardless of config
:type always: bool | [
"Add",
"a",
"line",
"to",
"the",
"history",
".",
":",
"param",
"line",
":",
"line",
"to",
"add",
"to",
"history",
":",
"type",
"line",
":",
"str",
":",
"param",
"always",
":",
"always",
"add",
"this",
"line",
"regardless",
"of",
"config",
":",
"type"... | def add(self, line, always=False):
"""
Add a line to the history.
:param line: line to add to history
:type line: str
:param always: always add this line, regardless of config
:type always: bool
"""
if self._current not in self._histories:
self... | [
"def",
"add",
"(",
"self",
",",
"line",
",",
"always",
"=",
"False",
")",
":",
"if",
"self",
".",
"_current",
"not",
"in",
"self",
".",
"_histories",
":",
"self",
".",
"_histories",
"[",
"self",
".",
"_current",
"]",
"=",
"[",
"]",
"stripped",
"=",... | https://github.com/ywangd/stash/blob/773d15b8fb3853a65c15fe160bf5584c99437170/system/shhistory.py#L100-L126 | ||
sfu-db/dataprep | 6dfb9c659e8bf73f07978ae195d0372495c6f118 | dataprep/clean/clean_date.py | python | _transform_timezone | (
result_str: str,
timezone_token: str,
timezone: str,
utc_add: str,
utc_offset_hours: int,
utc_offset_minutes: int,
) | return result | This function transform parsed month into target format
Parameters
----------
result_str
result string
timezone_token
token of timezone in target format
timezone
value of timezone string
tz_info
information of timezone, including offset hours and mins comparing to... | This function transform parsed month into target format
Parameters
----------
result_str
result string
timezone_token
token of timezone in target format
timezone
value of timezone string
tz_info
information of timezone, including offset hours and mins comparing to... | [
"This",
"function",
"transform",
"parsed",
"month",
"into",
"target",
"format",
"Parameters",
"----------",
"result_str",
"result",
"string",
"timezone_token",
"token",
"of",
"timezone",
"in",
"target",
"format",
"timezone",
"value",
"of",
"timezone",
"string",
"tz_... | def _transform_timezone(
result_str: str,
timezone_token: str,
timezone: str,
utc_add: str,
utc_offset_hours: int,
utc_offset_minutes: int,
) -> str:
"""
This function transform parsed month into target format
Parameters
----------
result_str
result string
timezon... | [
"def",
"_transform_timezone",
"(",
"result_str",
":",
"str",
",",
"timezone_token",
":",
"str",
",",
"timezone",
":",
"str",
",",
"utc_add",
":",
"str",
",",
"utc_offset_hours",
":",
"int",
",",
"utc_offset_minutes",
":",
"int",
",",
")",
"->",
"str",
":",... | https://github.com/sfu-db/dataprep/blob/6dfb9c659e8bf73f07978ae195d0372495c6f118/dataprep/clean/clean_date.py#L1046-L1082 | |
rhinstaller/anaconda | 63edc8680f1b05cbfe11bef28703acba808c5174 | pyanaconda/modules/boss/install_manager/install_manager.py | python | InstallManager.collect_requirements | (self) | return requirements | Collect requirements of the modules.
:return: a list of requirements | Collect requirements of the modules. | [
"Collect",
"requirements",
"of",
"the",
"modules",
"."
] | def collect_requirements(self):
"""Collect requirements of the modules.
:return: a list of requirements
"""
requirements = []
for observer in self._module_observers:
if not observer.is_service_available:
log.warning("Module %s not available!", observ... | [
"def",
"collect_requirements",
"(",
"self",
")",
":",
"requirements",
"=",
"[",
"]",
"for",
"observer",
"in",
"self",
".",
"_module_observers",
":",
"if",
"not",
"observer",
".",
"is_service_available",
":",
"log",
".",
"warning",
"(",
"\"Module %s not available... | https://github.com/rhinstaller/anaconda/blob/63edc8680f1b05cbfe11bef28703acba808c5174/pyanaconda/modules/boss/install_manager/install_manager.py#L42-L62 | |
pytransitions/transitions | 9663094f4566c016b11563e7a7d6d3802593845c | transitions/extensions/locking.py | python | LockedMachine.remove_model | (self, model) | return _super(LockedMachine, self).remove_model(models) | Extends `transitions.core.Machine.remove_model` by removing model specific context maps
from the machine when the model itself is removed. | Extends `transitions.core.Machine.remove_model` by removing model specific context maps
from the machine when the model itself is removed. | [
"Extends",
"transitions",
".",
"core",
".",
"Machine",
".",
"remove_model",
"by",
"removing",
"model",
"specific",
"context",
"maps",
"from",
"the",
"machine",
"when",
"the",
"model",
"itself",
"is",
"removed",
"."
] | def remove_model(self, model):
""" Extends `transitions.core.Machine.remove_model` by removing model specific context maps
from the machine when the model itself is removed. """
models = listify(model)
for mod in models:
del self.model_context_map[id(mod)]
retur... | [
"def",
"remove_model",
"(",
"self",
",",
"model",
")",
":",
"models",
"=",
"listify",
"(",
"model",
")",
"for",
"mod",
"in",
"models",
":",
"del",
"self",
".",
"model_context_map",
"[",
"id",
"(",
"mod",
")",
"]",
"return",
"_super",
"(",
"LockedMachin... | https://github.com/pytransitions/transitions/blob/9663094f4566c016b11563e7a7d6d3802593845c/transitions/extensions/locking.py#L154-L162 | |
user-cont/conu | 0d8962560f6f7f17fe1be0d434a4809e2a0ea51d | conu/backend/origin/backend.py | python | OpenshiftBackend.import_image | (self, imported_image_name, image_name) | return imported_image_name | Import image using `oc import-image` command.
:param imported_image_name: str, short name of an image in internal registry, example:
- hello-openshift:latest
:param image_name: full repository name, example:
- docker.io/openshift/hello-openshift:latest
:return: str, shor... | Import image using `oc import-image` command. | [
"Import",
"image",
"using",
"oc",
"import",
"-",
"image",
"command",
"."
] | def import_image(self, imported_image_name, image_name):
"""Import image using `oc import-image` command.
:param imported_image_name: str, short name of an image in internal registry, example:
- hello-openshift:latest
:param image_name: full repository name, example:
- d... | [
"def",
"import_image",
"(",
"self",
",",
"imported_image_name",
",",
"image_name",
")",
":",
"c",
"=",
"self",
".",
"_oc_command",
"(",
"[",
"\"import-image\"",
",",
"imported_image_name",
",",
"\"--from=%s\"",
"%",
"image_name",
",",
"\"--confirm\"",
"]",
")",
... | https://github.com/user-cont/conu/blob/0d8962560f6f7f17fe1be0d434a4809e2a0ea51d/conu/backend/origin/backend.py#L233-L254 | |
TencentCloud/tencentcloud-sdk-python | 3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2 | tencentcloud/cls/v20201016/models.py | python | DescribeExportsRequest.__init__ | (self) | r"""
:param TopicId: 日志主题ID
:type TopicId: str
:param Offset: 分页的偏移量，默认值为0
:type Offset: int
:param Limit: 分页单页限制数目，默认值为20，最大值100
:type Limit: int | r"""
:param TopicId: 日志主题ID
:type TopicId: str
:param Offset: 分页的偏移量，默认值为0
:type Offset: int
:param Limit: 分页单页限制数目，默认值为20，最大值100
:type Limit: int | [
"r",
":",
"param",
"TopicId",
":",
"日志主题ID",
":",
"type",
"TopicId",
":",
"str",
":",
"param",
"Offset",
":",
"分页的偏移量，默认值为0",
":",
"type",
"Offset",
":",
"int",
":",
"param",
"Limit",
":",
"分页单页限制数目，默认值为20，最大值100",
":",
"type",
"Limit",
":",
"int"
] | def __init__(self):
r"""
:param TopicId: 日志主题ID
:type TopicId: str
:param Offset: 分页的偏移量，默认值为0
:type Offset: int
:param Limit: 分页单页限制数目，默认值为20，最大值100
:type Limit: int
"""
self.TopicId = None
self.Offset = None
self.Limit = None | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"TopicId",
"=",
"None",
"self",
".",
"Offset",
"=",
"None",
"self",
".",
"Limit",
"=",
"None"
] | https://github.com/TencentCloud/tencentcloud-sdk-python/blob/3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2/tencentcloud/cls/v20201016/models.py#L2241-L2252 | ||
IronLanguages/ironpython2 | 51fdedeeda15727717fb8268a805f71b06c0b9f1 | Src/StdLib/Lib/Cookie.py | python | BaseCookie.js_output | (self, attrs=None) | return _nulljoin(result) | Return a string suitable for JavaScript. | Return a string suitable for JavaScript. | [
"Return",
"a",
"string",
"suitable",
"for",
"JavaScript",
"."
] | def js_output(self, attrs=None):
"""Return a string suitable for JavaScript."""
result = []
items = self.items()
items.sort()
for K,V in items:
result.append( V.js_output(attrs) )
return _nulljoin(result) | [
"def",
"js_output",
"(",
"self",
",",
"attrs",
"=",
"None",
")",
":",
"result",
"=",
"[",
"]",
"items",
"=",
"self",
".",
"items",
"(",
")",
"items",
".",
"sort",
"(",
")",
"for",
"K",
",",
"V",
"in",
"items",
":",
"result",
".",
"append",
"(",... | https://github.com/IronLanguages/ironpython2/blob/51fdedeeda15727717fb8268a805f71b06c0b9f1/Src/StdLib/Lib/Cookie.py#L623-L630 | |
replit-archive/empythoned | 977ec10ced29a3541a4973dc2b59910805695752 | cpython/Lib/idlelib/configHandler.py | python | IdleConf.GetHighlight | (self, theme, element, fgBg=None) | return individual highlighting theme elements.
fgBg - string ('fg'or'bg') or None, if None return a dictionary
containing fg and bg colours (appropriate for passing to Tkinter in,
e.g., a tag_config call), otherwise fg or bg colour only as specified. | return individual highlighting theme elements.
fgBg - string ('fg'or'bg') or None, if None return a dictionary
containing fg and bg colours (appropriate for passing to Tkinter in,
e.g., a tag_config call), otherwise fg or bg colour only as specified. | [
"return",
"individual",
"highlighting",
"theme",
"elements",
".",
"fgBg",
"-",
"string",
"(",
"fg",
"or",
"bg",
")",
"or",
"None",
"if",
"None",
"return",
"a",
"dictionary",
"containing",
"fg",
"and",
"bg",
"colours",
"(",
"appropriate",
"for",
"passing",
... | def GetHighlight(self, theme, element, fgBg=None):
"""
return individual highlighting theme elements.
fgBg - string ('fg'or'bg') or None, if None return a dictionary
containing fg and bg colours (appropriate for passing to Tkinter in,
e.g., a tag_config call), otherwise fg or bg ... | [
"def",
"GetHighlight",
"(",
"self",
",",
"theme",
",",
"element",
",",
"fgBg",
"=",
"None",
")",
":",
"if",
"self",
".",
"defaultCfg",
"[",
"'highlight'",
"]",
".",
"has_section",
"(",
"theme",
")",
":",
"themeDict",
"=",
"self",
".",
"GetThemeDict",
"... | https://github.com/replit-archive/empythoned/blob/977ec10ced29a3541a4973dc2b59910805695752/cpython/Lib/idlelib/configHandler.py#L282-L307 | ||
dimagi/commcare-hq | d67ff1d3b4c51fa050c19e60c3253a79d3452a39 | corehq/apps/app_manager/models.py | python | CachedStringProperty.__init__ | (self, key) | [] | def __init__(self, key):
self.get_key = key | [
"def",
"__init__",
"(",
"self",
",",
"key",
")",
":",
"self",
".",
"get_key",
"=",
"key"
] | https://github.com/dimagi/commcare-hq/blob/d67ff1d3b4c51fa050c19e60c3253a79d3452a39/corehq/apps/app_manager/models.py#L745-L746 | ||||
facebookresearch/pyrobot | 27ffd64bbb7ce3ff6ec4b2122d84b438d5641d0f | src/pyrobot/sawyer/arm.py | python | SawyerArm._pub_joint_torques | (self, torques) | [] | def _pub_joint_torques(self, torques):
command_msg = JointCommand()
command_msg.names = self.arm_joint_names
command_msg.effort = torques
command_msg.mode = JointCommand.TORQUE_MODE
command_msg.header.stamp = rospy.Time.now()
self.joint_pub.publish(command_msg) | [
"def",
"_pub_joint_torques",
"(",
"self",
",",
"torques",
")",
":",
"command_msg",
"=",
"JointCommand",
"(",
")",
"command_msg",
".",
"names",
"=",
"self",
".",
"arm_joint_names",
"command_msg",
".",
"effort",
"=",
"torques",
"command_msg",
".",
"mode",
"=",
... | https://github.com/facebookresearch/pyrobot/blob/27ffd64bbb7ce3ff6ec4b2122d84b438d5641d0f/src/pyrobot/sawyer/arm.py#L89-L95 | ||||
jchanvfx/NodeGraphQt | 8b810ef469f839176f9c26bdd6496ff34d9b64a2 | NodeGraphQt/widgets/properties.py | python | NodePropWidget._on_close | (self) | called by the close button. | called by the close button. | [
"called",
"by",
"the",
"close",
"button",
"."
] | def _on_close(self):
"""
called by the close button.
"""
self.property_closed.emit(self.__node_id) | [
"def",
"_on_close",
"(",
"self",
")",
":",
"self",
".",
"property_closed",
".",
"emit",
"(",
"self",
".",
"__node_id",
")"
] | https://github.com/jchanvfx/NodeGraphQt/blob/8b810ef469f839176f9c26bdd6496ff34d9b64a2/NodeGraphQt/widgets/properties.py#L861-L865 | ||
iclavera/learning_to_adapt | bd7d99ba402521c96631e7d09714128f549db0f1 | learning_to_adapt/mujoco_py/mjtypes.py | python | MjDataWrapper.efc_margin | (self) | return arr | [] | def efc_margin(self):
arr = np.reshape(np.fromiter(self._wrapped.contents.efc_margin, dtype=np.double, count=(self._size_src.njmax*1)), (self._size_src.njmax, 1, ))
arr.setflags(write=False)
return arr | [
"def",
"efc_margin",
"(",
"self",
")",
":",
"arr",
"=",
"np",
".",
"reshape",
"(",
"np",
".",
"fromiter",
"(",
"self",
".",
"_wrapped",
".",
"contents",
".",
"efc_margin",
",",
"dtype",
"=",
"np",
".",
"double",
",",
"count",
"=",
"(",
"self",
".",... | https://github.com/iclavera/learning_to_adapt/blob/bd7d99ba402521c96631e7d09714128f549db0f1/learning_to_adapt/mujoco_py/mjtypes.py#L2932-L2935 | |||
tensorflow/neural-structured-learning | a43fcfca1f97ecc0ee99e688e5c8bf16c8fb6629 | research/kg_hyp_emb/datasets/process.py | python | to_np_array | (dataset_file, ent2idx, rel2idx) | return np.array(examples).astype('int64') | Map raw dataset file to numpy array with unique ids.
Args:
dataset_file: Path to file contatining raw triples in a split.
ent2idx: Dictionary mapping raw entities to unique ids.
rel2idx: Dictionary mapping raw relations to unique ids.
Returns:
Numpy array of size n_examples x 3 mapping the raw dat... | Map raw dataset file to numpy array with unique ids. | [
"Map",
"raw",
"dataset",
"file",
"to",
"numpy",
"array",
"with",
"unique",
"ids",
"."
] | def to_np_array(dataset_file, ent2idx, rel2idx):
"""Map raw dataset file to numpy array with unique ids.
Args:
dataset_file: Path to file contatining raw triples in a split.
ent2idx: Dictionary mapping raw entities to unique ids.
rel2idx: Dictionary mapping raw relations to unique ids.
Returns:
... | [
"def",
"to_np_array",
"(",
"dataset_file",
",",
"ent2idx",
",",
"rel2idx",
")",
":",
"examples",
"=",
"[",
"]",
"with",
"open",
"(",
"dataset_file",
",",
"'r'",
")",
"as",
"lines",
":",
"for",
"line",
"in",
"lines",
":",
"lhs",
",",
"rel",
",",
"rhs"... | https://github.com/tensorflow/neural-structured-learning/blob/a43fcfca1f97ecc0ee99e688e5c8bf16c8fb6629/research/kg_hyp_emb/datasets/process.py#L51-L70 | |
tp4a/teleport | 1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad | server/www/packages/packages-windows/x86/mako/cache.py | python | Cache._get_cache_kw | (self, kw, context) | return tmpl_kw | [] | def _get_cache_kw(self, kw, context):
defname = kw.pop("__M_defname", None)
if not defname:
tmpl_kw = self.template.cache_args.copy()
tmpl_kw.update(kw)
elif defname in self._def_regions:
tmpl_kw = self._def_regions[defname]
else:
tmpl_kw =... | [
"def",
"_get_cache_kw",
"(",
"self",
",",
"kw",
",",
"context",
")",
":",
"defname",
"=",
"kw",
".",
"pop",
"(",
"\"__M_defname\"",
",",
"None",
")",
"if",
"not",
"defname",
":",
"tmpl_kw",
"=",
"self",
".",
"template",
".",
"cache_args",
".",
"copy",
... | https://github.com/tp4a/teleport/blob/1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad/server/www/packages/packages-windows/x86/mako/cache.py#L167-L181 | |||
kubeflow-kale/kale | bda9d296822e56ba8fe76b0072e656005da04905 | backend/kale/common/utils.py | python | comment_magic_commands | (code) | return re.sub(magic_pattern, r'#\1', code.strip()) | Comment the magic commands in a code block. | Comment the magic commands in a code block. | [
"Comment",
"the",
"magic",
"commands",
"in",
"a",
"code",
"block",
"."
] | def comment_magic_commands(code):
"""Comment the magic commands in a code block."""
magic_pattern = re.compile(r'^(\s*%%?.*)$', re.MULTILINE)
return re.sub(magic_pattern, r'#\1', code.strip()) | [
"def",
"comment_magic_commands",
"(",
"code",
")",
":",
"magic_pattern",
"=",
"re",
".",
"compile",
"(",
"r'^(\\s*%%?.*)$'",
",",
"re",
".",
"MULTILINE",
")",
"return",
"re",
".",
"sub",
"(",
"magic_pattern",
",",
"r'#\\1'",
",",
"code",
".",
"strip",
"(",... | https://github.com/kubeflow-kale/kale/blob/bda9d296822e56ba8fe76b0072e656005da04905/backend/kale/common/utils.py#L101-L104 | |
dictation-toolbox/dragonfly | a2b8f8e8ed1182465b831205b9804323beea112a | dragonfly/engines/backend_natlink/__init__.py | python | get_engine | (**kwargs) | return _engine | Retrieve the Natlink back-end engine object.
:param \\**kwargs: optional keyword arguments passed through to the
engine for engine-specific configuration. | Retrieve the Natlink back-end engine object. | [
"Retrieve",
"the",
"Natlink",
"back",
"-",
"end",
"engine",
"object",
"."
] | def get_engine(**kwargs):
"""
Retrieve the Natlink back-end engine object.
:param \\**kwargs: optional keyword arguments passed through to the
engine for engine-specific configuration.
"""
global _engine
if not _engine:
from .engine import NatlinkEngine
_engi... | [
"def",
"get_engine",
"(",
"*",
"*",
"kwargs",
")",
":",
"global",
"_engine",
"if",
"not",
"_engine",
":",
"from",
".",
"engine",
"import",
"NatlinkEngine",
"_engine",
"=",
"NatlinkEngine",
"(",
"*",
"*",
"kwargs",
")",
"return",
"_engine"
] | https://github.com/dictation-toolbox/dragonfly/blob/a2b8f8e8ed1182465b831205b9804323beea112a/dragonfly/engines/backend_natlink/__init__.py#L111-L122 | |
cogitas3d/OrtogOnBlender | 881e93f5beb2263e44c270974dd0e81deca44762 | BooleanaOsteo.py | python | BooleanaOsteoInter.execute | (self, context) | return {'FINISHED'} | [] | def execute(self, context):
BooleanaOsteoInterDef(self, context)
# bpy.ops.object.collection_link(collection='Collection')
return {'FINISHED'} | [
"def",
"execute",
"(",
"self",
",",
"context",
")",
":",
"BooleanaOsteoInterDef",
"(",
"self",
",",
"context",
")",
"# bpy.ops.object.collection_link(collection='Collection')",
"return",
"{",
"'FINISHED'",
"}"
] | https://github.com/cogitas3d/OrtogOnBlender/blob/881e93f5beb2263e44c270974dd0e81deca44762/BooleanaOsteo.py#L946-L949 | |||
Khan/gae_mini_profiler | 275e6e67c751b621f1e65c24c9a8a15631799fa4 | profiler.py | python | RequestProfiler.appstats_results | (self) | return results | Return the RPC profiler (appstats) results for this request, if any.
This will return a dictionary containing results from appstats or an
empty result set if appstats profiling is disabled. | Return the RPC profiler (appstats) results for this request, if any. | [
"Return",
"the",
"RPC",
"profiler",
"(",
"appstats",
")",
"results",
"for",
"this",
"request",
"if",
"any",
"."
] | def appstats_results(self):
"""Return the RPC profiler (appstats) results for this request, if any.
This will return a dictionary containing results from appstats or an
empty result set if appstats profiling is disabled."""
results = {
"calls": [],
"tota... | [
"def",
"appstats_results",
"(",
"self",
")",
":",
"results",
"=",
"{",
"\"calls\"",
":",
"[",
"]",
",",
"\"total_time\"",
":",
"0",
",",
"}",
"if",
"self",
".",
"appstats_prof",
":",
"results",
".",
"update",
"(",
"self",
".",
"appstats_prof",
".",
"re... | https://github.com/Khan/gae_mini_profiler/blob/275e6e67c751b621f1e65c24c9a8a15631799fa4/profiler.py#L441-L455 | |
softlayer/softlayer-python | cdef7d63c66413197a9a97b0414de9f95887a82a | SoftLayer/CLI/firewall/cancel.py | python | cli | (env, identifier) | Cancels a firewall. | Cancels a firewall. | [
"Cancels",
"a",
"firewall",
"."
] | def cli(env, identifier):
"""Cancels a firewall."""
mgr = SoftLayer.FirewallManager(env.client)
firewall_type, firewall_id = firewall.parse_id(identifier)
if not (env.skip_confirmations or
formatting.confirm("This action will cancel a firewall from your "
"ac... | [
"def",
"cli",
"(",
"env",
",",
"identifier",
")",
":",
"mgr",
"=",
"SoftLayer",
".",
"FirewallManager",
"(",
"env",
".",
"client",
")",
"firewall_type",
",",
"firewall_id",
"=",
"firewall",
".",
"parse_id",
"(",
"identifier",
")",
"if",
"not",
"(",
"env"... | https://github.com/softlayer/softlayer-python/blob/cdef7d63c66413197a9a97b0414de9f95887a82a/SoftLayer/CLI/firewall/cancel.py#L16-L34 | ||
chengzhengxin/groupsoftmax-simpledet | 3f63a00998c57fee25241cf43a2e8600893ea462 | config/resnet_v1b/tridentnet_r152v1bc4_c5_1x.py | python | get_config | (is_train) | return General, KvstoreParam, RpnParam, RoiParam, BboxParam, DatasetParam, \
ModelParam, OptimizeParam, TestParam, \
transform, data_name, label_name, metric_list | [] | def get_config(is_train):
class General:
log_frequency = 10
name = __name__.rsplit("/")[-1].rsplit(".")[-1]
batch_image = 1 if is_train else 1
fp16 = False
class Trident:
num_branch = 3
train_scaleaware = True
test_scaleaware = True
branch_ids = r... | [
"def",
"get_config",
"(",
"is_train",
")",
":",
"class",
"General",
":",
"log_frequency",
"=",
"10",
"name",
"=",
"__name__",
".",
"rsplit",
"(",
"\"/\"",
")",
"[",
"-",
"1",
"]",
".",
"rsplit",
"(",
"\".\"",
")",
"[",
"-",
"1",
"]",
"batch_image",
... | https://github.com/chengzhengxin/groupsoftmax-simpledet/blob/3f63a00998c57fee25241cf43a2e8600893ea462/config/resnet_v1b/tridentnet_r152v1bc4_c5_1x.py#L11-L307 | |||
Kozea/WeasyPrint | 6cce2978165134e37683cb5b3d156cac6a11a7f9 | weasyprint/svg/utils.py | python | point | (svg, string, font_size) | Pop first two size values from a string. | Pop first two size values from a string. | [
"Pop",
"first",
"two",
"size",
"values",
"from",
"a",
"string",
"."
] | def point(svg, string, font_size):
"""Pop first two size values from a string."""
match = re.match('(.*?) (.*?)(?: |$)', string)
if match:
x, y = match.group(1, 2)
string = string[match.end():]
return (*svg.point(x, y, font_size), string)
else:
raise PointError | [
"def",
"point",
"(",
"svg",
",",
"string",
",",
"font_size",
")",
":",
"match",
"=",
"re",
".",
"match",
"(",
"'(.*?) (.*?)(?: |$)'",
",",
"string",
")",
"if",
"match",
":",
"x",
",",
"y",
"=",
"match",
".",
"group",
"(",
"1",
",",
"2",
")",
"str... | https://github.com/Kozea/WeasyPrint/blob/6cce2978165134e37683cb5b3d156cac6a11a7f9/weasyprint/svg/utils.py#L62-L70 | ||
tribe29/checkmk | 6260f2512e159e311f426e16b84b19d0b8e9ad0c | cmk/gui/plugins/userdb/htpasswd.py | python | Htpasswd.load | (self) | return entries | Loads the contents of a valid htpasswd file into a dictionary and returns the dictionary | Loads the contents of a valid htpasswd file into a dictionary and returns the dictionary | [
"Loads",
"the",
"contents",
"of",
"a",
"valid",
"htpasswd",
"file",
"into",
"a",
"dictionary",
"and",
"returns",
"the",
"dictionary"
] | def load(self) -> dict[UserId, str]:
"""Loads the contents of a valid htpasswd file into a dictionary and returns the dictionary"""
entries = {}
with self._path.open(encoding="utf-8") as f:
for l in f:
if ":" not in l:
continue
us... | [
"def",
"load",
"(",
"self",
")",
"->",
"dict",
"[",
"UserId",
",",
"str",
"]",
":",
"entries",
"=",
"{",
"}",
"with",
"self",
".",
"_path",
".",
"open",
"(",
"encoding",
"=",
"\"utf-8\"",
")",
"as",
"f",
":",
"for",
"l",
"in",
"f",
":",
"if",
... | https://github.com/tribe29/checkmk/blob/6260f2512e159e311f426e16b84b19d0b8e9ad0c/cmk/gui/plugins/userdb/htpasswd.py#L48-L60 | |
andresriancho/w3af | cd22e5252243a87aaa6d0ddea47cf58dacfe00a9 | w3af/core/data/kb/info.py | python | Info.add_to_highlight | (self, *str_match) | [] | def add_to_highlight(self, *str_match):
for s in str_match:
if not isinstance(s, basestring):
raise TypeError('Only able to highlight strings.')
self._string_matches.add(s) | [
"def",
"add_to_highlight",
"(",
"self",
",",
"*",
"str_match",
")",
":",
"for",
"s",
"in",
"str_match",
":",
"if",
"not",
"isinstance",
"(",
"s",
",",
"basestring",
")",
":",
"raise",
"TypeError",
"(",
"'Only able to highlight strings.'",
")",
"self",
".",
... | https://github.com/andresriancho/w3af/blob/cd22e5252243a87aaa6d0ddea47cf58dacfe00a9/w3af/core/data/kb/info.py#L627-L632 | ||||
mu-editor/mu | 5a5d7723405db588f67718a63a0ec0ecabebae33 | mu/__main__.py | python | main | () | [] | def main():
run() | [
"def",
"main",
"(",
")",
":",
"run",
"(",
")"
] | https://github.com/mu-editor/mu/blob/5a5d7723405db588f67718a63a0ec0ecabebae33/mu/__main__.py#L4-L5 | ||||
realpython/book2-exercises | cde325eac8e6d8cff2316601c2e5b36bb46af7d0 | web2py/gluon/contrib/pypyodbc.py | python | Cursor.columns | (self, table=None, catalog=None, schema=None, column=None) | return self | Return a list with all columns | Return a list with all columns | [
"Return",
"a",
"list",
"with",
"all",
"columns"
] | def columns(self, table=None, catalog=None, schema=None, column=None):
"""Return a list with all columns"""
if not self.connection:
self.close()
l_catalog = l_schema = l_table = l_column = 0
if unicode in [type(x) for x in (table, catalog, schema,colu... | [
"def",
"columns",
"(",
"self",
",",
"table",
"=",
"None",
",",
"catalog",
"=",
"None",
",",
"schema",
"=",
"None",
",",
"column",
"=",
"None",
")",
":",
"if",
"not",
"self",
".",
"connection",
":",
"self",
".",
"close",
"(",
")",
"l_catalog",
"=",
... | https://github.com/realpython/book2-exercises/blob/cde325eac8e6d8cff2316601c2e5b36bb46af7d0/web2py/gluon/contrib/pypyodbc.py#L2047-L2090 | |
kupferlauncher/kupfer | 1c1e9bcbce05a82f503f68f8b3955c20b02639b3 | kupfer/pretty.py | python | OutputMixin.output_exc | (self, exc_info=None) | Output current exception, or use @exc_info if given | Output current exception, or use | [
"Output",
"current",
"exception",
"or",
"use"
] | def output_exc(self, exc_info=None):
"""Output current exception, or use @exc_info if given"""
etype, value, tb = (exc_info or sys.exc_info())
if debug:
self._output_core("Exception in ", "", "\n", sys.stderr)
traceback.print_exception(etype, value, tb, file=sys.stderr)
... | [
"def",
"output_exc",
"(",
"self",
",",
"exc_info",
"=",
"None",
")",
":",
"etype",
",",
"value",
",",
"tb",
"=",
"(",
"exc_info",
"or",
"sys",
".",
"exc_info",
"(",
")",
")",
"if",
"debug",
":",
"self",
".",
"_output_core",
"(",
"\"Exception in \"",
... | https://github.com/kupferlauncher/kupfer/blob/1c1e9bcbce05a82f503f68f8b3955c20b02639b3/kupfer/pretty.py#L30-L38 | ||
braincorp/PVM | 3de2683634f372d2ac5aaa8b19e8ff23420d94d1 | PVM_framework/CoreUtils.py | python | run_model | (prop_dict, manager, port=9000) | Simplified way of running a model.
:param prop_dict: model dictionary
:param manager: execution manager
:param port: port for setting up a debugging server
:return: | Simplified way of running a model.
:param prop_dict: model dictionary
:param manager: execution manager
:param port: port for setting up a debugging server
:return: | [
"Simplified",
"way",
"of",
"running",
"a",
"model",
".",
":",
"param",
"prop_dict",
":",
"model",
"dictionary",
":",
"param",
"manager",
":",
"execution",
"manager",
":",
"param",
"port",
":",
"port",
"for",
"setting",
"up",
"a",
"debugging",
"server",
":"... | def run_model(prop_dict, manager, port=9000):
"""
Simplified way of running a model.
:param prop_dict: model dictionary
:param manager: execution manager
:param port: port for setting up a debugging server
:return:
"""
executor = ModelExecution(prop_dict=prop_dict, manager=manager, port=... | [
"def",
"run_model",
"(",
"prop_dict",
",",
"manager",
",",
"port",
"=",
"9000",
")",
":",
"executor",
"=",
"ModelExecution",
"(",
"prop_dict",
"=",
"prop_dict",
",",
"manager",
"=",
"manager",
",",
"port",
"=",
"port",
")",
"executor",
".",
"start",
"(",... | https://github.com/braincorp/PVM/blob/3de2683634f372d2ac5aaa8b19e8ff23420d94d1/PVM_framework/CoreUtils.py#L452-L462 | ||
awslabs/autogluon | 7309118f2ab1c9519f25acf61a283a95af95842b | core/src/autogluon/core/models/ensemble/stacker_ensemble_model.py | python | StackerEnsembleModel._set_default_params | (self) | [] | def _set_default_params(self):
default_params = {'use_orig_features': True, 'max_base_models': 25, 'max_base_models_per_type': 5}
for param, val in default_params.items():
self._set_default_param_value(param, val)
super()._set_default_params() | [
"def",
"_set_default_params",
"(",
"self",
")",
":",
"default_params",
"=",
"{",
"'use_orig_features'",
":",
"True",
",",
"'max_base_models'",
":",
"25",
",",
"'max_base_models_per_type'",
":",
"5",
"}",
"for",
"param",
",",
"val",
"in",
"default_params",
".",
... | https://github.com/awslabs/autogluon/blob/7309118f2ab1c9519f25acf61a283a95af95842b/core/src/autogluon/core/models/ensemble/stacker_ensemble_model.py#L97-L101 | ||||
CGATOxford/cgat | 326aad4694bdfae8ddc194171bb5d73911243947 | obsolete/pipeline_proj012_chipseq.py | python | full | () | run the full pipeline. | run the full pipeline. | [
"run",
"the",
"full",
"pipeline",
"."
] | def full():
'''run the full pipeline.'''
pass | [
"def",
"full",
"(",
")",
":",
"pass"
] | https://github.com/CGATOxford/cgat/blob/326aad4694bdfae8ddc194171bb5d73911243947/obsolete/pipeline_proj012_chipseq.py#L1155-L1157 | ||
wucng/TensorExpand | 4ea58f64f5c5082b278229b799c9f679536510b7 | TensorExpand/Object detection/Mask RCNN/CharlesShang_FastMaskRCNN/libs/boxes/gprof2dot.py | python | DotWriter.end_graph | (self) | [] | def end_graph(self):
self.write('}\n') | [
"def",
"end_graph",
"(",
"self",
")",
":",
"self",
".",
"write",
"(",
"'}\\n'",
")"
] | https://github.com/wucng/TensorExpand/blob/4ea58f64f5c5082b278229b799c9f679536510b7/TensorExpand/Object detection/Mask RCNN/CharlesShang_FastMaskRCNN/libs/boxes/gprof2dot.py#L3034-L3035 | ||||
EPFL-LCN/neuronaldynamics-exercises | 18c0d573c943eeff1bfa496f3dcbbf358aed5b62 | neurodynex3/tools/spike_tools.py | python | get_averaged_single_neuron_power_spectrum | (spike_monitor, sampling_frequency,
window_t_min, window_t_max,
nr_neurons_average=100, subtract_mean=False) | return freq, mean_ps, all_ps_dict, mean_firing_rate, mean_firing_freqs_per_neuron | averaged power-spectrum of spike trains in the time window [window_t_min, window_t_max).
The power spectrum of every single neuron's spike train is computed. Then the average
across all single-neuron powers is computed. In order to limit the compuation time, the
number of neurons taken to comput... | averaged power-spectrum of spike trains in the time window [window_t_min, window_t_max).
The power spectrum of every single neuron's spike train is computed. Then the average
across all single-neuron powers is computed. In order to limit the compuation time, the
number of neurons taken to comput... | [
"averaged",
"power",
"-",
"spectrum",
"of",
"spike",
"trains",
"in",
"the",
"time",
"window",
"[",
"window_t_min",
"window_t_max",
")",
".",
"The",
"power",
"spectrum",
"of",
"every",
"single",
"neuron",
"s",
"spike",
"train",
"is",
"computed",
".",
"Then",
... | def get_averaged_single_neuron_power_spectrum(spike_monitor, sampling_frequency,
window_t_min, window_t_max,
nr_neurons_average=100, subtract_mean=False):
"""
averaged power-spectrum of spike trains in the time window [w... | [
"def",
"get_averaged_single_neuron_power_spectrum",
"(",
"spike_monitor",
",",
"sampling_frequency",
",",
"window_t_min",
",",
"window_t_max",
",",
"nr_neurons_average",
"=",
"100",
",",
"subtract_mean",
"=",
"False",
")",
":",
"assert",
"isinstance",
"(",
"spike_monito... | https://github.com/EPFL-LCN/neuronaldynamics-exercises/blob/18c0d573c943eeff1bfa496f3dcbbf358aed5b62/neurodynex3/tools/spike_tools.py#L307-L374 | |
Xavier-Lam/wechat-django | 258e193e9ec9558709e889fd105c9bf474b013e6 | wechat_django/oauth/authentication.py | python | WeChatOAuthSessionAuthentication.authenticate | (self, request) | return rv | [] | def authenticate(self, request):
session_key = request.wechat.session_key
request.wechat._openid = request.session.get(session_key)
rv = super(WeChatOAuthSessionAuthentication, self).authenticate(
request)
if rv is not None:
request.session[session_key] = rv[1]
... | [
"def",
"authenticate",
"(",
"self",
",",
"request",
")",
":",
"session_key",
"=",
"request",
".",
"wechat",
".",
"session_key",
"request",
".",
"wechat",
".",
"_openid",
"=",
"request",
".",
"session",
".",
"get",
"(",
"session_key",
")",
"rv",
"=",
"sup... | https://github.com/Xavier-Lam/wechat-django/blob/258e193e9ec9558709e889fd105c9bf474b013e6/wechat_django/oauth/authentication.py#L66-L73 | |||
nschloe/pygmsh | 3e7eea6fae3b4cd5e9f2c2d52b3686d3e5a1a725 | src/pygmsh/common/geometry.py | python | CommonGeometry.add_physical | (self, entities, label: str | None = None) | [] | def add_physical(self, entities, label: str | None = None):
if label in [label for _, label in self._PHYSICAL_QUEUE]:
raise ValueError(f'Label "{label}" already exists.')
if not isinstance(entities, list):
entities = [entities]
# make sure the dimensionality is the same... | [
"def",
"add_physical",
"(",
"self",
",",
"entities",
",",
"label",
":",
"str",
"|",
"None",
"=",
"None",
")",
":",
"if",
"label",
"in",
"[",
"label",
"for",
"_",
",",
"label",
"in",
"self",
".",
"_PHYSICAL_QUEUE",
"]",
":",
"raise",
"ValueError",
"("... | https://github.com/nschloe/pygmsh/blob/3e7eea6fae3b4cd5e9f2c2d52b3686d3e5a1a725/src/pygmsh/common/geometry.py#L103-L125 | ||||
robinhood/faust | 01b4c0ad8390221db71751d80001b0fd879291e2 | faust/transport/consumer.py | python | ThreadDelegateConsumer.close | (self) | Close consumer for graceful shutdown. | Close consumer for graceful shutdown. | [
"Close",
"consumer",
"for",
"graceful",
"shutdown",
"."
] | def close(self) -> None:
"""Close consumer for graceful shutdown."""
self._thread.close() | [
"def",
"close",
"(",
"self",
")",
"->",
"None",
":",
"self",
".",
"_thread",
".",
"close",
"(",
")"
] | https://github.com/robinhood/faust/blob/01b4c0ad8390221db71751d80001b0fd879291e2/faust/transport/consumer.py#L1328-L1330 | ||
bcbio/bcbio-nextgen | c80f9b6b1be3267d1f981b7035e3b72441d258f2 | bcbio/pipeline/genome.py | python | _get_galaxy_loc_file | (name, galaxy_dt, ref_dir, galaxy_base) | return loc_file, need_remap | Retrieve Galaxy *.loc file for the given reference/aligner name.
First tries to find an aligner specific *.loc file. If not defined
or does not exist, then we need to try and remap it from the
default reference file | Retrieve Galaxy *.loc file for the given reference/aligner name. | [
"Retrieve",
"Galaxy",
"*",
".",
"loc",
"file",
"for",
"the",
"given",
"reference",
"/",
"aligner",
"name",
"."
] | def _get_galaxy_loc_file(name, galaxy_dt, ref_dir, galaxy_base):
"""Retrieve Galaxy *.loc file for the given reference/aligner name.
First tries to find an aligner specific *.loc file. If not defined
or does not exist, then we need to try and remap it from the
default reference file
"""
if "fil... | [
"def",
"_get_galaxy_loc_file",
"(",
"name",
",",
"galaxy_dt",
",",
"ref_dir",
",",
"galaxy_base",
")",
":",
"if",
"\"file\"",
"in",
"galaxy_dt",
"and",
"os",
".",
"path",
".",
"exists",
"(",
"os",
".",
"path",
".",
"join",
"(",
"galaxy_base",
",",
"galax... | https://github.com/bcbio/bcbio-nextgen/blob/c80f9b6b1be3267d1f981b7035e3b72441d258f2/bcbio/pipeline/genome.py#L117-L136 | |
LinkedInAttic/indextank-service | 880c6295ce8e7a3a55bf9b3777cc35c7680e0d7e | storefront/boto/rds/__init__.py | python | RDSConnection.get_all_events | (self, source_identifier=None, source_type=None,
start_time=None, end_time=None,
max_records=None, marker=None) | return self.get_list('DescribeEvents', params, [('Event', Event)]) | Get information about events related to your DBInstances,
DBSecurityGroups and DBParameterGroups.
:type source_identifier: str
:param source_identifier: If supplied, the events returned will be
limited to those that apply to the identified
... | Get information about events related to your DBInstances,
DBSecurityGroups and DBParameterGroups.
:type source_identifier: str
:param source_identifier: If supplied, the events returned will be
limited to those that apply to the identified
... | [
"Get",
"information",
"about",
"events",
"related",
"to",
"your",
"DBInstances",
"DBSecurityGroups",
"and",
"DBParameterGroups",
".",
":",
"type",
"source_identifier",
":",
"str",
":",
"param",
"source_identifier",
":",
"If",
"supplied",
"the",
"events",
"returned",... | def get_all_events(self, source_identifier=None, source_type=None,
start_time=None, end_time=None,
max_records=None, marker=None):
"""
Get information about events related to your DBInstances,
DBSecurityGroups and DBParameterGroups.
... | [
"def",
"get_all_events",
"(",
"self",
",",
"source_identifier",
"=",
"None",
",",
"source_type",
"=",
"None",
",",
"start_time",
"=",
"None",
",",
"end_time",
"=",
"None",
",",
"max_records",
"=",
"None",
",",
"marker",
"=",
"None",
")",
":",
"params",
"... | https://github.com/LinkedInAttic/indextank-service/blob/880c6295ce8e7a3a55bf9b3777cc35c7680e0d7e/storefront/boto/rds/__init__.py#L756-L811 | |
benadida/helios-server | 19555c3e5e86b4301264ccb26587c51aec8cbbd2 | helios/crypto/elgamal.py | python | SecretKey.prove_sk | (self, challenge_generator) | return DLogProof(commitment, challenge, response) | Generate a PoK of the secret key
Prover generates w, a random integer modulo q, and computes commitment = g^w mod p.
Verifier provides challenge modulo q.
Prover computes response = w + x*challenge mod q, where x is the secret key. | Generate a PoK of the secret key
Prover generates w, a random integer modulo q, and computes commitment = g^w mod p.
Verifier provides challenge modulo q.
Prover computes response = w + x*challenge mod q, where x is the secret key. | [
"Generate",
"a",
"PoK",
"of",
"the",
"secret",
"key",
"Prover",
"generates",
"w",
"a",
"random",
"integer",
"modulo",
"q",
"and",
"computes",
"commitment",
"=",
"g^w",
"mod",
"p",
".",
"Verifier",
"provides",
"challenge",
"modulo",
"q",
".",
"Prover",
"com... | def prove_sk(self, challenge_generator):
"""
Generate a PoK of the secret key
Prover generates w, a random integer modulo q, and computes commitment = g^w mod p.
Verifier provides challenge modulo q.
Prover computes response = w + x*challenge mod q, where x is the secret key.
"""
... | [
"def",
"prove_sk",
"(",
"self",
",",
"challenge_generator",
")",
":",
"w",
"=",
"random",
".",
"mpz_lt",
"(",
"self",
".",
"pk",
".",
"q",
")",
"commitment",
"=",
"pow",
"(",
"self",
".",
"pk",
".",
"g",
",",
"w",
",",
"self",
".",
"pk",
".",
"... | https://github.com/benadida/helios-server/blob/19555c3e5e86b4301264ccb26587c51aec8cbbd2/helios/crypto/elgamal.py#L205-L217 | |
adulau/Forban | 4b06c8a2e2f18ff872ca20a534587a5f15a692fa | lib/ext/cherrypy/lib/httpauth.py | python | md5SessionKey | (params, password) | return _A1 (params_copy, password) | If the "algorithm" directive's value is "MD5-sess", then A1
[the session key] is calculated only once - on the first request by the
client following receipt of a WWW-Authenticate challenge from the server.
This creates a 'session key' for the authentication of subsequent
requests and responses which i... | If the "algorithm" directive's value is "MD5-sess", then A1
[the session key] is calculated only once - on the first request by the
client following receipt of a WWW-Authenticate challenge from the server. | [
"If",
"the",
"algorithm",
"directive",
"s",
"value",
"is",
"MD5",
"-",
"sess",
"then",
"A1",
"[",
"the",
"session",
"key",
"]",
"is",
"calculated",
"only",
"once",
"-",
"on",
"the",
"first",
"request",
"by",
"the",
"client",
"following",
"receipt",
"of",... | def md5SessionKey (params, password):
"""
If the "algorithm" directive's value is "MD5-sess", then A1
[the session key] is calculated only once - on the first request by the
client following receipt of a WWW-Authenticate challenge from the server.
This creates a 'session key' for the authenticatio... | [
"def",
"md5SessionKey",
"(",
"params",
",",
"password",
")",
":",
"keys",
"=",
"(",
"\"username\"",
",",
"\"realm\"",
",",
"\"nonce\"",
",",
"\"cnonce\"",
")",
"params_copy",
"=",
"{",
"}",
"for",
"key",
"in",
"keys",
":",
"params_copy",
"[",
"key",
"]",... | https://github.com/adulau/Forban/blob/4b06c8a2e2f18ff872ca20a534587a5f15a692fa/lib/ext/cherrypy/lib/httpauth.py#L188-L213 | |
JasperSnoek/spearmint | b37a541be1ea035f82c7c82bbd93f5b4320e7d91 | spearmint/spearmint/chooser/cma.py | python | FitnessFunctions.rosen_nesterov | (self, x, rho=100) | return f | needs exponential number of steps in a non-increasing f-sequence.
x_0 = (-1,1,...,1)
See Jarre (2011) "On Nesterov's Smooth Chebyshev-Rosenbrock Function" | needs exponential number of steps in a non-increasing f-sequence. | [
"needs",
"exponential",
"number",
"of",
"steps",
"in",
"a",
"non",
"-",
"increasing",
"f",
"-",
"sequence",
"."
] | def rosen_nesterov(self, x, rho=100):
"""needs exponential number of steps in a non-increasing f-sequence.
x_0 = (-1,1,...,1)
See Jarre (2011) "On Nesterov's Smooth Chebyshev-Rosenbrock Function"
"""
f = 0.25 * (x[0] - 1)**2
f += rho * sum((x[1:] - 2 * x[:-1]**2 + 1)**2... | [
"def",
"rosen_nesterov",
"(",
"self",
",",
"x",
",",
"rho",
"=",
"100",
")",
":",
"f",
"=",
"0.25",
"*",
"(",
"x",
"[",
"0",
"]",
"-",
"1",
")",
"**",
"2",
"f",
"+=",
"rho",
"*",
"sum",
"(",
"(",
"x",
"[",
"1",
":",
"]",
"-",
"2",
"*",
... | https://github.com/JasperSnoek/spearmint/blob/b37a541be1ea035f82c7c82bbd93f5b4320e7d91/spearmint/spearmint/chooser/cma.py#L6697-L6706 | |
emmetio/livestyle-sublime-old | c42833c046e9b2f53ebce3df3aa926528f5a33b5 | lsutils/diff.py | python | _on_diff_editor_sources | (data, sender) | [] | def _on_diff_editor_sources(data, sender):
logger.debug('Received diff sources response: %s' % ws.format_message(data))
if not data['success']:
logger.error('[ws] %s' % data.get('result', ''))
_on_diff_complete(data.get('file'), None, None)
else:
r = data.get('result', {})
_on_diff_complete(data.get('file'),... | [
"def",
"_on_diff_editor_sources",
"(",
"data",
",",
"sender",
")",
":",
"logger",
".",
"debug",
"(",
"'Received diff sources response: %s'",
"%",
"ws",
".",
"format_message",
"(",
"data",
")",
")",
"if",
"not",
"data",
"[",
"'success'",
"]",
":",
"logger",
"... | https://github.com/emmetio/livestyle-sublime-old/blob/c42833c046e9b2f53ebce3df3aa926528f5a33b5/lsutils/diff.py#L241-L248 | ||||
zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_flaskbb/Python-2.7.9/Lib/lib2to3/fixes/fix_import.py | python | FixImport.start_tree | (self, tree, name) | [] | def start_tree(self, tree, name):
super(FixImport, self).start_tree(tree, name)
self.skip = "absolute_import" in tree.future_features | [
"def",
"start_tree",
"(",
"self",
",",
"tree",
",",
"name",
")",
":",
"super",
"(",
"FixImport",
",",
"self",
")",
".",
"start_tree",
"(",
"tree",
",",
"name",
")",
"self",
".",
"skip",
"=",
"\"absolute_import\"",
"in",
"tree",
".",
"future_features"
] | https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_flaskbb/Python-2.7.9/Lib/lib2to3/fixes/fix_import.py#L47-L49 | ||||
jgagneastro/coffeegrindsize | 22661ebd21831dba4cf32bfc6ba59fe3d49f879c | App/venv/lib/python3.7/site-packages/setuptools/msvc.py | python | SystemInfo.WindowsSdkDir | (self) | return sdkdir | Microsoft Windows SDK directory. | Microsoft Windows SDK directory. | [
"Microsoft",
"Windows",
"SDK",
"directory",
"."
] | def WindowsSdkDir(self):
"""
Microsoft Windows SDK directory.
"""
sdkdir = ''
for ver in self.WindowsSdkVersion:
# Try to get it from registry
loc = os.path.join(self.ri.windows_sdk, 'v%s' % ver)
sdkdir = self.ri.lookup(loc, 'installationfolder... | [
"def",
"WindowsSdkDir",
"(",
"self",
")",
":",
"sdkdir",
"=",
"''",
"for",
"ver",
"in",
"self",
".",
"WindowsSdkVersion",
":",
"# Try to get it from registry",
"loc",
"=",
"os",
".",
"path",
".",
"join",
"(",
"self",
".",
"ri",
".",
"windows_sdk",
",",
"... | https://github.com/jgagneastro/coffeegrindsize/blob/22661ebd21831dba4cf32bfc6ba59fe3d49f879c/App/venv/lib/python3.7/site-packages/setuptools/msvc.py#L607-L642 | |
mihaip/mail-trends | 312b5be7f8f0a5933b05c75e229eda8e44c3c920 | stats/group.py | python | StatColumnGroup.__init__ | (self, *args) | [] | def __init__(self, *args):
StatGroup.__init__(self)
for stat in args:
self._AddStat(stat) | [
"def",
"__init__",
"(",
"self",
",",
"*",
"args",
")",
":",
"StatGroup",
".",
"__init__",
"(",
"self",
")",
"for",
"stat",
"in",
"args",
":",
"self",
".",
"_AddStat",
"(",
"stat",
")"
] | https://github.com/mihaip/mail-trends/blob/312b5be7f8f0a5933b05c75e229eda8e44c3c920/stats/group.py#L115-L118 | ||||
WikidPad/WikidPad | 558109638807bc76b4672922686e416ab2d5f79c | WikidPad/lib/aui/tabart.py | python | ChromeTabArt.DrawTab | (self, dc, wnd, page, in_rect, close_button_state, paint_control=False) | return out_tab_rect, out_button_rect, x_extent | Draws a single tab.
:param `dc`: a :class:`wx.DC` device context;
:param `wnd`: a :class:`wx.Window` instance object;
:param `page`: the tab control page associated with the tab;
:param wx.Rect `in_rect`: rectangle the tab should be confined to;
:param integer `close_button_stat... | Draws a single tab. | [
"Draws",
"a",
"single",
"tab",
"."
] | def DrawTab(self, dc, wnd, page, in_rect, close_button_state, paint_control=False):
"""
Draws a single tab.
:param `dc`: a :class:`wx.DC` device context;
:param `wnd`: a :class:`wx.Window` instance object;
:param `page`: the tab control page associated with the tab;
:par... | [
"def",
"DrawTab",
"(",
"self",
",",
"dc",
",",
"wnd",
",",
"page",
",",
"in_rect",
",",
"close_button_state",
",",
"paint_control",
"=",
"False",
")",
":",
"# Chrome tab style",
"control",
"=",
"page",
".",
"control",
"# figure out the size of the tab",
"tab_siz... | https://github.com/WikidPad/WikidPad/blob/558109638807bc76b4672922686e416ab2d5f79c/WikidPad/lib/aui/tabart.py#L2639-L2801 | |
YouChouNoBB/data-mining-introduction | 8cbbeccaa7200d5e6a7f0d259393794feae3151e | randomForest-base.py | python | DecisionTree.predict | (self,X) | return X.apply(lambda x:self.id3c45_predict(self.tree,x),axis=1).values | [] | def predict(self,X):
if self.method=='gini':
return X.apply(lambda x:self.cart_predict(self.tree,x),axis=1).values
return X.apply(lambda x:self.id3c45_predict(self.tree,x),axis=1).values | [
"def",
"predict",
"(",
"self",
",",
"X",
")",
":",
"if",
"self",
".",
"method",
"==",
"'gini'",
":",
"return",
"X",
".",
"apply",
"(",
"lambda",
"x",
":",
"self",
".",
"cart_predict",
"(",
"self",
".",
"tree",
",",
"x",
")",
",",
"axis",
"=",
"... | https://github.com/YouChouNoBB/data-mining-introduction/blob/8cbbeccaa7200d5e6a7f0d259393794feae3151e/randomForest-base.py#L205-L208 | |||
sentinel-hub/eo-learn | cf964eaf173668d6a374675dbd7c1d244264c11d | mask/eolearn/mask/cloud_mask.py | python | CloudMaskTask._map_sequence | (data, func2d) | return output | Iterate over time and band dimensions and apply a function to each slice.
Returns a new array with the combined results.
:param data: input array
:type data: array of shape (timestamps, rows, columns, channels)
:param func2d: Mapping function that is applied on each 2d image slice. All ... | Iterate over time and band dimensions and apply a function to each slice.
Returns a new array with the combined results. | [
"Iterate",
"over",
"time",
"and",
"band",
"dimensions",
"and",
"apply",
"a",
"function",
"to",
"each",
"slice",
".",
"Returns",
"a",
"new",
"array",
"with",
"the",
"combined",
"results",
"."
] | def _map_sequence(data, func2d):
""" Iterate over time and band dimensions and apply a function to each slice.
Returns a new array with the combined results.
:param data: input array
:type data: array of shape (timestamps, rows, columns, channels)
:param func2d: Mapping function... | [
"def",
"_map_sequence",
"(",
"data",
",",
"func2d",
")",
":",
"# Map over channel dimension on 3d tensor",
"def",
"func3d",
"(",
"dim",
")",
":",
"return",
"map_over_axis",
"(",
"dim",
",",
"func2d",
",",
"axis",
"=",
"2",
")",
"# Map over time dimension on 4d ten... | https://github.com/sentinel-hub/eo-learn/blob/cf964eaf173668d6a374675dbd7c1d244264c11d/mask/eolearn/mask/cloud_mask.py#L322-L341 | |
e2nIEE/pandapower | 12bd83d7c4e1bf3fa338dab2db649c3cd3db0cfb | pandapower/pypower/fdpf.py | python | fdpf | (Ybus, Sbus, V0, Bp, Bpp, ref, pv, pq, ppopt=None) | return V, converged, i | Solves the power flow using a fast decoupled method.
Solves for bus voltages given the full system admittance matrix (for
all buses), the complex bus power injection vector (for all buses),
the initial vector of complex bus voltages, the FDPF matrices B prime
and B double prime, and column vectors with... | Solves the power flow using a fast decoupled method. | [
"Solves",
"the",
"power",
"flow",
"using",
"a",
"fast",
"decoupled",
"method",
"."
] | def fdpf(Ybus, Sbus, V0, Bp, Bpp, ref, pv, pq, ppopt=None):
"""Solves the power flow using a fast decoupled method.
Solves for bus voltages given the full system admittance matrix (for
all buses), the complex bus power injection vector (for all buses),
the initial vector of complex bus voltages, the FD... | [
"def",
"fdpf",
"(",
"Ybus",
",",
"Sbus",
",",
"V0",
",",
"Bp",
",",
"Bpp",
",",
"ref",
",",
"pv",
",",
"pq",
",",
"ppopt",
"=",
"None",
")",
":",
"if",
"ppopt",
"is",
"None",
":",
"ppopt",
"=",
"ppoption",
"(",
")",
"## options",
"tol",
"=",
... | https://github.com/e2nIEE/pandapower/blob/12bd83d7c4e1bf3fa338dab2db649c3cd3db0cfb/pandapower/pypower/fdpf.py#L16-L142 | |
pydata/xarray | 9226c7ac87b3eb246f7a7e49f8f0f23d68951624 | xarray/util/generate_ops.py | python | render | (ops_info, is_module) | Render the module or stub file. | Render the module or stub file. | [
"Render",
"the",
"module",
"or",
"stub",
"file",
"."
] | def render(ops_info, is_module):
"""Render the module or stub file."""
yield MODULE_PREAMBLE if is_module else STUBFILE_PREAMBLE
for cls_name, method_blocks in ops_info.items():
yield CLASS_PREAMBLE.format(cls_name=cls_name, newline="\n" * is_module)
yield from _render_classbody(method_bloc... | [
"def",
"render",
"(",
"ops_info",
",",
"is_module",
")",
":",
"yield",
"MODULE_PREAMBLE",
"if",
"is_module",
"else",
"STUBFILE_PREAMBLE",
"for",
"cls_name",
",",
"method_blocks",
"in",
"ops_info",
".",
"items",
"(",
")",
":",
"yield",
"CLASS_PREAMBLE",
".",
"f... | https://github.com/pydata/xarray/blob/9226c7ac87b3eb246f7a7e49f8f0f23d68951624/xarray/util/generate_ops.py#L232-L238 | ||
peterdsharpe/AeroSandbox | ded68b0465f2bfdcaf4bc90abd8c91be0addcaba | aerosandbox/aerodynamics/aero_3D/aero_buildup_submodels/fuselage_aerodynamics.py | python | fuselage_aerodynamics | (
fuselage: Fuselage,
op_point: OperatingPoint,
) | return {
"F_g": F_g,
"F_b": F_b,
"F_w": F_w,
"M_g": M_g,
"M_b": M_b,
"M_w": M_w,
"L" : -F_w[2],
"Y" : F_w[1],
"D" : -F_w[0],
"l_b": M_b[0],
"m_b": M_b[1],
"n_b": M_b[2]
} | Estimates the aerodynamic forces, moments, and derivatives on a fuselage in isolation.
Assumes:
* The fuselage is a body of revolution aligned with the x_b axis.
* The angle between the nose and the freestream is less than 90 degrees.
Moments are given with the reference at Fuselage [0, 0, 0].... | Estimates the aerodynamic forces, moments, and derivatives on a fuselage in isolation. | [
"Estimates",
"the",
"aerodynamic",
"forces",
"moments",
"and",
"derivatives",
"on",
"a",
"fuselage",
"in",
"isolation",
"."
] | def fuselage_aerodynamics(
fuselage: Fuselage,
op_point: OperatingPoint,
):
"""
Estimates the aerodynamic forces, moments, and derivatives on a fuselage in isolation.
Assumes:
* The fuselage is a body of revolution aligned with the x_b axis.
* The angle between the nose and ... | [
"def",
"fuselage_aerodynamics",
"(",
"fuselage",
":",
"Fuselage",
",",
"op_point",
":",
"OperatingPoint",
",",
")",
":",
"fuselage",
".",
"Re",
"=",
"op_point",
".",
"reynolds",
"(",
"reference_length",
"=",
"fuselage",
".",
"length",
"(",
")",
")",
"#######... | https://github.com/peterdsharpe/AeroSandbox/blob/ded68b0465f2bfdcaf4bc90abd8c91be0addcaba/aerosandbox/aerodynamics/aero_3D/aero_buildup_submodels/fuselage_aerodynamics.py#L32-L193 | |
ucsb-seclab/karonte | 427ac313e596f723e40768b95d13bd7a9fc92fd8 | tool/bdg/binary_dependency_graph.py | python | BinaryDependencyGraph.run | (self) | Run the Binary Dependency Graph analysis
:return: the binary dependency graph | Run the Binary Dependency Graph analysis
:return: the binary dependency graph | [
"Run",
"the",
"Binary",
"Dependency",
"Graph",
"analysis",
":",
"return",
":",
"the",
"binary",
"dependency",
"graph"
] | def run(self):
"""
Run the Binary Dependency Graph analysis
:return: the binary dependency graph
"""
self._start_time = time.time()
self._build_dependency_graph()
self._end_time = time.time() | [
"def",
"run",
"(",
"self",
")",
":",
"self",
".",
"_start_time",
"=",
"time",
".",
"time",
"(",
")",
"self",
".",
"_build_dependency_graph",
"(",
")",
"self",
".",
"_end_time",
"=",
"time",
".",
"time",
"(",
")"
] | https://github.com/ucsb-seclab/karonte/blob/427ac313e596f723e40768b95d13bd7a9fc92fd8/tool/bdg/binary_dependency_graph.py#L887-L895 | ||
HymanLiuTS/flaskTs | 286648286976e85d9b9a5873632331efcafe0b21 | flasky/lib/python2.7/site-packages/pkg_resources/__init__.py | python | Distribution.egg_name | (self) | return filename | Return what this distribution's standard .egg filename should be | Return what this distribution's standard .egg filename should be | [
"Return",
"what",
"this",
"distribution",
"s",
"standard",
".",
"egg",
"filename",
"should",
"be"
] | def egg_name(self):
"""Return what this distribution's standard .egg filename should be"""
filename = "%s-%s-py%s" % (
to_filename(self.project_name), to_filename(self.version),
self.py_version or PY_MAJOR
)
if self.platform:
filename += '-' + self.pl... | [
"def",
"egg_name",
"(",
"self",
")",
":",
"filename",
"=",
"\"%s-%s-py%s\"",
"%",
"(",
"to_filename",
"(",
"self",
".",
"project_name",
")",
",",
"to_filename",
"(",
"self",
".",
"version",
")",
",",
"self",
".",
"py_version",
"or",
"PY_MAJOR",
")",
"if"... | https://github.com/HymanLiuTS/flaskTs/blob/286648286976e85d9b9a5873632331efcafe0b21/flasky/lib/python2.7/site-packages/pkg_resources/__init__.py#L2560-L2569 | |
open-mmlab/mmdetection3d | c7272063e818bcf33aebc498a017a95c8d065143 | tools/create_data.py | python | nuscenes_data_prep | (root_path,
info_prefix,
version,
dataset_name,
out_dir,
max_sweeps=10) | Prepare data related to nuScenes dataset.
Related data consists of '.pkl' files recording basic infos,
2D annotations and groundtruth database.
Args:
root_path (str): Path of dataset root.
info_prefix (str): The prefix of info filenames.
version (str): Dataset version.
data... | Prepare data related to nuScenes dataset. | [
"Prepare",
"data",
"related",
"to",
"nuScenes",
"dataset",
"."
] | def nuscenes_data_prep(root_path,
info_prefix,
version,
dataset_name,
out_dir,
max_sweeps=10):
"""Prepare data related to nuScenes dataset.
Related data consists of '.pkl' files recording basic in... | [
"def",
"nuscenes_data_prep",
"(",
"root_path",
",",
"info_prefix",
",",
"version",
",",
"dataset_name",
",",
"out_dir",
",",
"max_sweeps",
"=",
"10",
")",
":",
"nuscenes_converter",
".",
"create_nuscenes_infos",
"(",
"root_path",
",",
"info_prefix",
",",
"version"... | https://github.com/open-mmlab/mmdetection3d/blob/c7272063e818bcf33aebc498a017a95c8d065143/tools/create_data.py#L47-L82 | ||
PINTO0309/PINTO_model_zoo | 2924acda7a7d541d8712efd7cc4fd1c61ef5bddd | 201_CityscapesSOTA/demo/demo_CityscapesSOTA_onnx.py | python | main | () | [] | def main():
parser = argparse.ArgumentParser()
parser.add_argument("--device", type=int, default=0)
parser.add_argument("--movie", type=str, default=None)
parser.add_argument(
"--model",
type=str,
default='saved_model_180x320/model_float32.onnx',
)
parser.add_argument(
... | [
"def",
"main",
"(",
")",
":",
"parser",
"=",
"argparse",
".",
"ArgumentParser",
"(",
")",
"parser",
".",
"add_argument",
"(",
"\"--device\"",
",",
"type",
"=",
"int",
",",
"default",
"=",
"0",
")",
"parser",
".",
"add_argument",
"(",
"\"--movie\"",
",",
... | https://github.com/PINTO0309/PINTO_model_zoo/blob/2924acda7a7d541d8712efd7cc4fd1c61ef5bddd/201_CityscapesSOTA/demo/demo_CityscapesSOTA_onnx.py#L42-L104 | ||||
Sprytile/Sprytile | 6b68d0069aef5bfed6ab40d1d5a94a3382b41619 | rx/linq/observable/reduce.py | python | reduce | (self, accumulator, seed=None) | Applies an accumulator function over an observable sequence,
returning the result of the aggregation as a single element in the
result sequence. The specified seed value is used as the initial
accumulator value.
For aggregation behavior with incremental intermediate results, see
Observable.scan.
... | Applies an accumulator function over an observable sequence,
returning the result of the aggregation as a single element in the
result sequence. The specified seed value is used as the initial
accumulator value. | [
"Applies",
"an",
"accumulator",
"function",
"over",
"an",
"observable",
"sequence",
"returning",
"the",
"result",
"of",
"the",
"aggregation",
"as",
"a",
"single",
"element",
"in",
"the",
"result",
"sequence",
".",
"The",
"specified",
"seed",
"value",
"is",
"us... | def reduce(self, accumulator, seed=None):
"""Applies an accumulator function over an observable sequence,
returning the result of the aggregation as a single element in the
result sequence. The specified seed value is used as the initial
accumulator value.
For aggregation behavior with incremental ... | [
"def",
"reduce",
"(",
"self",
",",
"accumulator",
",",
"seed",
"=",
"None",
")",
":",
"if",
"seed",
"is",
"not",
"None",
":",
"return",
"self",
".",
"scan",
"(",
"accumulator",
",",
"seed",
"=",
"seed",
")",
".",
"start_with",
"(",
"seed",
")",
"."... | https://github.com/Sprytile/Sprytile/blob/6b68d0069aef5bfed6ab40d1d5a94a3382b41619/rx/linq/observable/reduce.py#L6-L32 | ||
tensorflow/graphics | 86997957324bfbdd85848daae989b4c02588faa0 | tensorflow_graphics/projects/points_to_3Dobjects/utils/tf_utils.py | python | get_next_sample_dataset | (dataset_iter) | return sample | Get next sample. | Get next sample. | [
"Get",
"next",
"sample",
"."
] | def get_next_sample_dataset(dataset_iter):
"""Get next sample."""
try:
sample = next(dataset_iter)
except (StopIteration, RuntimeError) as e:
if "Can't copy Tensor with type" in str(e):
sample = None
elif isinstance(e, StopIteration):
sample = None
else:
raise e
return sample | [
"def",
"get_next_sample_dataset",
"(",
"dataset_iter",
")",
":",
"try",
":",
"sample",
"=",
"next",
"(",
"dataset_iter",
")",
"except",
"(",
"StopIteration",
",",
"RuntimeError",
")",
"as",
"e",
":",
"if",
"\"Can't copy Tensor with type\"",
"in",
"str",
"(",
"... | https://github.com/tensorflow/graphics/blob/86997957324bfbdd85848daae989b4c02588faa0/tensorflow_graphics/projects/points_to_3Dobjects/utils/tf_utils.py#L115-L126 | |
sympy/sympy | d822fcba181155b85ff2b29fe525adbafb22b448 | sympy/logic/boolalg.py | python | anf_coeffs | (truthvalues) | return coeffs[0] | Convert a list of truth values of some boolean expression
to the list of coefficients of the polynomial mod 2 (exclusive
disjunction) representing the boolean expression in ANF
(i.e., the "Zhegalkin polynomial").
There are `2^n` possible Zhegalkin monomials in `n` variables, since
each monomial is ... | Convert a list of truth values of some boolean expression
to the list of coefficients of the polynomial mod 2 (exclusive
disjunction) representing the boolean expression in ANF
(i.e., the "Zhegalkin polynomial"). | [
"Convert",
"a",
"list",
"of",
"truth",
"values",
"of",
"some",
"boolean",
"expression",
"to",
"the",
"list",
"of",
"coefficients",
"of",
"the",
"polynomial",
"mod",
"2",
"(",
"exclusive",
"disjunction",
")",
"representing",
"the",
"boolean",
"expression",
"in"... | def anf_coeffs(truthvalues):
"""
Convert a list of truth values of some boolean expression
to the list of coefficients of the polynomial mod 2 (exclusive
disjunction) representing the boolean expression in ANF
(i.e., the "Zhegalkin polynomial").
There are `2^n` possible Zhegalkin monomials in `... | [
"def",
"anf_coeffs",
"(",
"truthvalues",
")",
":",
"s",
"=",
"'{:b}'",
".",
"format",
"(",
"len",
"(",
"truthvalues",
")",
")",
"n",
"=",
"len",
"(",
"s",
")",
"-",
"1",
"if",
"len",
"(",
"truthvalues",
")",
"!=",
"2",
"**",
"n",
":",
"raise",
... | https://github.com/sympy/sympy/blob/d822fcba181155b85ff2b29fe525adbafb22b448/sympy/logic/boolalg.py#L2543-L2595 | |
LGE-ARC-AdvancedAI/auptimizer | 50f6e3b4e0cb9146ca90fd74b9b24ca97ae22617 | src/aup/Proposer/hyperopt/fmin.py | python | space_eval | (space, hp_assignment) | return rval | Compute a point in a search space from a hyperparameter assignment.
Parameters:
-----------
space - a pyll graph involving hp nodes (see `pyll_utils`).
hp_assignment - a dictionary mapping hp node labels to values. | Compute a point in a search space from a hyperparameter assignment. | [
"Compute",
"a",
"point",
"in",
"a",
"search",
"space",
"from",
"a",
"hyperparameter",
"assignment",
"."
] | def space_eval(space, hp_assignment):
"""Compute a point in a search space from a hyperparameter assignment.
Parameters:
-----------
space - a pyll graph involving hp nodes (see `pyll_utils`).
hp_assignment - a dictionary mapping hp node labels to values.
"""
space = pyll.as_apply(space)
... | [
"def",
"space_eval",
"(",
"space",
",",
"hp_assignment",
")",
":",
"space",
"=",
"pyll",
".",
"as_apply",
"(",
"space",
")",
"nodes",
"=",
"pyll",
".",
"toposort",
"(",
"space",
")",
"memo",
"=",
"{",
"}",
"for",
"node",
"in",
"nodes",
":",
"if",
"... | https://github.com/LGE-ARC-AdvancedAI/auptimizer/blob/50f6e3b4e0cb9146ca90fd74b9b24ca97ae22617/src/aup/Proposer/hyperopt/fmin.py#L383-L401 | |
MishaLaskin/curl | 8416d6e3869e38ca0e46fcbc54a2f784dc09d7fc | curl_sac.py | python | CURL.encode | (self, x, detach=False, ema=False) | return z_out | Encoder: z_t = e(x_t)
:param x: x_t, x y coordinates
:return: z_t, value in r2 | Encoder: z_t = e(x_t)
:param x: x_t, x y coordinates
:return: z_t, value in r2 | [
"Encoder",
":",
"z_t",
"=",
"e",
"(",
"x_t",
")",
":",
"param",
"x",
":",
"x_t",
"x",
"y",
"coordinates",
":",
"return",
":",
"z_t",
"value",
"in",
"r2"
] | def encode(self, x, detach=False, ema=False):
"""
Encoder: z_t = e(x_t)
:param x: x_t, x y coordinates
:return: z_t, value in r2
"""
if ema:
with torch.no_grad():
z_out = self.encoder_target(x)
else:
z_out = self.encoder(x)
... | [
"def",
"encode",
"(",
"self",
",",
"x",
",",
"detach",
"=",
"False",
",",
"ema",
"=",
"False",
")",
":",
"if",
"ema",
":",
"with",
"torch",
".",
"no_grad",
"(",
")",
":",
"z_out",
"=",
"self",
".",
"encoder_target",
"(",
"x",
")",
"else",
":",
... | https://github.com/MishaLaskin/curl/blob/8416d6e3869e38ca0e46fcbc54a2f784dc09d7fc/curl_sac.py#L201-L215 | |
sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/arith/misc.py | python | random_prime | (n, proof=None, lbound=2) | r"""
Return a random prime `p` between ``lbound`` and `n`.
The returned prime `p` satisfies ``lbound`` `\leq p \leq n`.
The returned prime `p` is chosen uniformly at random from the set
of prime numbers less than or equal to `n`.
INPUT:
- ``n`` - an integer >= 2.
- ``proof`` - bool or... | r"""
Return a random prime `p` between ``lbound`` and `n`. | [
"r",
"Return",
"a",
"random",
"prime",
"p",
"between",
"lbound",
"and",
"n",
"."
] | def random_prime(n, proof=None, lbound=2):
r"""
Return a random prime `p` between ``lbound`` and `n`.
The returned prime `p` satisfies ``lbound`` `\leq p \leq n`.
The returned prime `p` is chosen uniformly at random from the set
of prime numbers less than or equal to `n`.
INPUT:
- ``n``... | [
"def",
"random_prime",
"(",
"n",
",",
"proof",
"=",
"None",
",",
"lbound",
"=",
"2",
")",
":",
"# since we do not want current_randstate to get",
"# pulled when you say \"from sage.arith.misc import *\".",
"from",
"sage",
".",
"structure",
".",
"proof",
".",
"proof",
... | https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/arith/misc.py#L1317-L1426 | ||
ChineseGLUE/ChineseGLUE | 1591b85cf5427c2ff60f718d359ecb71d2b44879 | baselines/models_pytorch/classifier_pytorch/transformers/tokenization_bert.py | python | BertTokenizer.convert_tokens_to_string | (self, tokens) | return out_string | Converts a sequence of tokens (string) in a single string. | Converts a sequence of tokens (string) in a single string. | [
"Converts",
"a",
"sequence",
"of",
"tokens",
"(",
"string",
")",
"in",
"a",
"single",
"string",
"."
] | def convert_tokens_to_string(self, tokens):
""" Converts a sequence of tokens (string) in a single string. """
out_string = ' '.join(tokens).replace(' ##', '').strip()
return out_string | [
"def",
"convert_tokens_to_string",
"(",
"self",
",",
"tokens",
")",
":",
"out_string",
"=",
"' '",
".",
"join",
"(",
"tokens",
")",
".",
"replace",
"(",
"' ##'",
",",
"''",
")",
".",
"strip",
"(",
")",
"return",
"out_string"
] | https://github.com/ChineseGLUE/ChineseGLUE/blob/1591b85cf5427c2ff60f718d359ecb71d2b44879/baselines/models_pytorch/classifier_pytorch/transformers/tokenization_bert.py#L191-L194 | |
ctypesgen/ctypesgen | cef9a7ac58a50d0ae4f260abdeb75e0a71398187 | ctypesgen/parser/cgrammar.py | python | p_member_declarator_list | (p) | member_declarator_list : member_declarator
| member_declarator_list COMMA member_declarator | member_declarator_list : member_declarator
| member_declarator_list COMMA member_declarator | [
"member_declarator_list",
":",
"member_declarator",
"|",
"member_declarator_list",
"COMMA",
"member_declarator"
] | def p_member_declarator_list(p):
""" member_declarator_list : member_declarator
| member_declarator_list COMMA member_declarator
"""
if len(p) == 2:
p[0] = (p[1],)
else:
p[0] = p[1] + (p[3],) | [
"def",
"p_member_declarator_list",
"(",
"p",
")",
":",
"if",
"len",
"(",
"p",
")",
"==",
"2",
":",
"p",
"[",
"0",
"]",
"=",
"(",
"p",
"[",
"1",
"]",
",",
")",
"else",
":",
"p",
"[",
"0",
"]",
"=",
"p",
"[",
"1",
"]",
"+",
"(",
"p",
"[",... | https://github.com/ctypesgen/ctypesgen/blob/cef9a7ac58a50d0ae4f260abdeb75e0a71398187/ctypesgen/parser/cgrammar.py#L839-L846 | ||
zaxlct/imooc-django | daf1ced745d3d21989e8191b658c293a511b37fd | extra_apps/xadmin/plugins/actions.py | python | ActionPlugin.get_list_display | (self, list_display) | return list_display | [] | def get_list_display(self, list_display):
if self.actions:
list_display.insert(0, 'action_checkbox')
self.admin_view.action_checkbox = action_checkbox
return list_display | [
"def",
"get_list_display",
"(",
"self",
",",
"list_display",
")",
":",
"if",
"self",
".",
"actions",
":",
"list_display",
".",
"insert",
"(",
"0",
",",
"'action_checkbox'",
")",
"self",
".",
"admin_view",
".",
"action_checkbox",
"=",
"action_checkbox",
"return... | https://github.com/zaxlct/imooc-django/blob/daf1ced745d3d21989e8191b658c293a511b37fd/extra_apps/xadmin/plugins/actions.py#L144-L148 | |||
realpython/book2-exercises | cde325eac8e6d8cff2316601c2e5b36bb46af7d0 | web2py-rest/gluon/contrib/aes.py | python | AES.mix_columns_inv | (self, block) | Similar to mix_columns above, but performed in inverse for decryption. | Similar to mix_columns above, but performed in inverse for decryption. | [
"Similar",
"to",
"mix_columns",
"above",
"but",
"performed",
"in",
"inverse",
"for",
"decryption",
"."
] | def mix_columns_inv(self, block):
"""Similar to mix_columns above, but performed in inverse for decryption."""
# Cache global multiplication tables (see below)
mul_9 = gf_mul_by_9
mul_11 = gf_mul_by_11
mul_13 = gf_mul_by_13
mul_14 = gf_mul_by_14
# Since we're d... | [
"def",
"mix_columns_inv",
"(",
"self",
",",
"block",
")",
":",
"# Cache global multiplication tables (see below)",
"mul_9",
"=",
"gf_mul_by_9",
"mul_11",
"=",
"gf_mul_by_11",
"mul_13",
"=",
"gf_mul_by_13",
"mul_14",
"=",
"gf_mul_by_14",
"# Since we're dealing with a transpo... | https://github.com/realpython/book2-exercises/blob/cde325eac8e6d8cff2316601c2e5b36bb46af7d0/web2py-rest/gluon/contrib/aes.py#L236-L257 | ||
androguard/androguard | 8d091cbb309c0c50bf239f805cc1e0931b8dcddc | androguard/decompiler/dad/util.py | python | create_png | (cls_name, meth_name, graph, dir_name='graphs2') | Creates a PNG from a given :class:`~androguard.decompiler.dad.graph.Graph`.
:param str cls_name: name of the class
:param str meth_name: name of the method
:param androguard.decompiler.dad.graph.Graph graph:
:param str dir_name: output directory | Creates a PNG from a given :class:`~androguard.decompiler.dad.graph.Graph`. | [
"Creates",
"a",
"PNG",
"from",
"a",
"given",
":",
"class",
":",
"~androguard",
".",
"decompiler",
".",
"dad",
".",
"graph",
".",
"Graph",
"."
] | def create_png(cls_name, meth_name, graph, dir_name='graphs2'):
"""
Creates a PNG from a given :class:`~androguard.decompiler.dad.graph.Graph`.
:param str cls_name: name of the class
:param str meth_name: name of the method
:param androguard.decompiler.dad.graph.Graph graph:
:param str dir_name... | [
"def",
"create_png",
"(",
"cls_name",
",",
"meth_name",
",",
"graph",
",",
"dir_name",
"=",
"'graphs2'",
")",
":",
"m_name",
"=",
"''",
".",
"join",
"(",
"x",
"for",
"x",
"in",
"meth_name",
"if",
"x",
".",
"isalnum",
"(",
")",
")",
"name",
"=",
"''... | https://github.com/androguard/androguard/blob/8d091cbb309c0c50bf239f805cc1e0931b8dcddc/androguard/decompiler/dad/util.py#L202-L213 | ||
DIYer22/boxx | d271bc375a33e01e616a0f74ce028e6d77d1820e | boxx/tool/toolLog.py | python | getNameFromCodeObj | (code, pretty=True) | return name | [] | def getNameFromCodeObj(code, pretty=True):
name = code.co_name
filee = code.co_filename
if pretty:
if name == '<module>':
if filee.startswith('<ipython-input-'):
name = 'ipython-input'
else:
name = '%s'%os.path.basename(filee)
name ... | [
"def",
"getNameFromCodeObj",
"(",
"code",
",",
"pretty",
"=",
"True",
")",
":",
"name",
"=",
"code",
".",
"co_name",
"filee",
"=",
"code",
".",
"co_filename",
"if",
"pretty",
":",
"if",
"name",
"==",
"'<module>'",
":",
"if",
"filee",
".",
"startswith",
... | https://github.com/DIYer22/boxx/blob/d271bc375a33e01e616a0f74ce028e6d77d1820e/boxx/tool/toolLog.py#L1016-L1028 | |||
buke/GreenOdoo | 3d8c55d426fb41fdb3f2f5a1533cfe05983ba1df | runtime/python/lib/python2.7/distutils/core.py | python | run_setup | (script_name, script_args=None, stop_after="run") | return _setup_distribution | Run a setup script in a somewhat controlled environment, and
return the Distribution instance that drives things. This is useful
if you need to find out the distribution meta-data (passed as
keyword args from 'script' to 'setup()', or the contents of the
config files or command-line.
'script_name'... | Run a setup script in a somewhat controlled environment, and
return the Distribution instance that drives things. This is useful
if you need to find out the distribution meta-data (passed as
keyword args from 'script' to 'setup()', or the contents of the
config files or command-line. | [
"Run",
"a",
"setup",
"script",
"in",
"a",
"somewhat",
"controlled",
"environment",
"and",
"return",
"the",
"Distribution",
"instance",
"that",
"drives",
"things",
".",
"This",
"is",
"useful",
"if",
"you",
"need",
"to",
"find",
"out",
"the",
"distribution",
"... | def run_setup(script_name, script_args=None, stop_after="run"):
"""Run a setup script in a somewhat controlled environment, and
return the Distribution instance that drives things. This is useful
if you need to find out the distribution meta-data (passed as
keyword args from 'script' to 'setup()', or t... | [
"def",
"run_setup",
"(",
"script_name",
",",
"script_args",
"=",
"None",
",",
"stop_after",
"=",
"\"run\"",
")",
":",
"if",
"stop_after",
"not",
"in",
"(",
"'init'",
",",
"'config'",
",",
"'commandline'",
",",
"'run'",
")",
":",
"raise",
"ValueError",
",",... | https://github.com/buke/GreenOdoo/blob/3d8c55d426fb41fdb3f2f5a1533cfe05983ba1df/runtime/python/lib/python2.7/distutils/core.py#L174-L242 | |
smart-mobile-software/gitstack | d9fee8f414f202143eb6e620529e8e5539a2af56 | python/Lib/site-packages/django/core/mail/message.py | python | EmailMessage.attach_file | (self, path, mimetype=None) | Attaches a file from the filesystem. | Attaches a file from the filesystem. | [
"Attaches",
"a",
"file",
"from",
"the",
"filesystem",
"."
] | def attach_file(self, path, mimetype=None):
"""Attaches a file from the filesystem."""
filename = os.path.basename(path)
content = open(path, 'rb').read()
self.attach(filename, content, mimetype) | [
"def",
"attach_file",
"(",
"self",
",",
"path",
",",
"mimetype",
"=",
"None",
")",
":",
"filename",
"=",
"os",
".",
"path",
".",
"basename",
"(",
"path",
")",
"content",
"=",
"open",
"(",
"path",
",",
"'rb'",
")",
".",
"read",
"(",
")",
"self",
"... | https://github.com/smart-mobile-software/gitstack/blob/d9fee8f414f202143eb6e620529e8e5539a2af56/python/Lib/site-packages/django/core/mail/message.py#L265-L269 | ||
googleads/google-ads-python | 2a1d6062221f6aad1992a6bcca0e7e4a93d2db86 | google/ads/googleads/v9/services/services/campaign_service/transports/grpc.py | python | CampaignServiceGrpcTransport.get_campaign | (
self,
) | return self._stubs["get_campaign"] | r"""Return a callable for the get campaign method over gRPC.
Returns the requested campaign in full detail.
List of thrown errors: `AuthenticationError <>`__
`AuthorizationError <>`__ `HeaderError <>`__
`InternalError <>`__ `QuotaError <>`__ `RequestError <>`__
Returns:
... | r"""Return a callable for the get campaign method over gRPC. | [
"r",
"Return",
"a",
"callable",
"for",
"the",
"get",
"campaign",
"method",
"over",
"gRPC",
"."
] | def get_campaign(
self,
) -> Callable[[campaign_service.GetCampaignRequest], campaign.Campaign]:
r"""Return a callable for the get campaign method over gRPC.
Returns the requested campaign in full detail.
List of thrown errors: `AuthenticationError <>`__
`AuthorizationError... | [
"def",
"get_campaign",
"(",
"self",
",",
")",
"->",
"Callable",
"[",
"[",
"campaign_service",
".",
"GetCampaignRequest",
"]",
",",
"campaign",
".",
"Campaign",
"]",
":",
"# Generate a \"stub function\" on-the-fly which will actually make",
"# the request.",
"# gRPC handle... | https://github.com/googleads/google-ads-python/blob/2a1d6062221f6aad1992a6bcca0e7e4a93d2db86/google/ads/googleads/v9/services/services/campaign_service/transports/grpc.py#L216-L243 | |
mdiazcl/fuzzbunch-debian | 2b76c2249ade83a389ae3badb12a1bd09901fd2c | windows/Resources/Python/Core/Lib/lib-tk/tkFont.py | python | Font.actual | (self, option=None) | Return actual font attributes | Return actual font attributes | [
"Return",
"actual",
"font",
"attributes"
] | def actual(self, option=None):
"""Return actual font attributes"""
if option:
return self._call('font', 'actual', self.name, '-' + option)
else:
return self._mkdict(self._split(self._call('font', 'actual', self.name))) | [
"def",
"actual",
"(",
"self",
",",
"option",
"=",
"None",
")",
":",
"if",
"option",
":",
"return",
"self",
".",
"_call",
"(",
"'font'",
",",
"'actual'",
",",
"self",
".",
"name",
",",
"'-'",
"+",
"option",
")",
"else",
":",
"return",
"self",
".",
... | https://github.com/mdiazcl/fuzzbunch-debian/blob/2b76c2249ade83a389ae3badb12a1bd09901fd2c/windows/Resources/Python/Core/Lib/lib-tk/tkFont.py#L111-L116 | ||
ricequant/rqalpha-mod-ctp | bfd40801f9a182226a911cac74660f62993eb6db | rqalpha_mod_ctp/ctp/pyctp/linux64_36/__init__.py | python | TraderApi.ReqOrderAction | (self, pInputOrderAction, nRequestID) | return 0 | 报单操作请求 | 报单操作请求 | [
"报单操作请求"
] | def ReqOrderAction(self, pInputOrderAction, nRequestID):
"""报单操作请求"""
return 0 | [
"def",
"ReqOrderAction",
"(",
"self",
",",
"pInputOrderAction",
",",
"nRequestID",
")",
":",
"return",
"0"
] | https://github.com/ricequant/rqalpha-mod-ctp/blob/bfd40801f9a182226a911cac74660f62993eb6db/rqalpha_mod_ctp/ctp/pyctp/linux64_36/__init__.py#L265-L267 | |
JacquesLucke/animation_nodes | b1e3ace8dcb0a771fd882fc3ac4e490b009fa0d1 | animation_nodes/nodes/mesh/get_linked_vertices.py | python | GetLinkedVerticesNode.create | (self) | [] | def create(self):
self.newInput("Mesh", "Mesh", "mesh")
self.newInput("Integer", "Vextex Index", "vertexIndex")
self.newOutput("Integer List", "Vertices", "vertexIndices")
self.newOutput("Integer List", "Edges", "edgeIndices")
self.newOutput("Integer", "Amount", "amount") | [
"def",
"create",
"(",
"self",
")",
":",
"self",
".",
"newInput",
"(",
"\"Mesh\"",
",",
"\"Mesh\"",
",",
"\"mesh\"",
")",
"self",
".",
"newInput",
"(",
"\"Integer\"",
",",
"\"Vextex Index\"",
",",
"\"vertexIndex\"",
")",
"self",
".",
"newOutput",
"(",
"\"In... | https://github.com/JacquesLucke/animation_nodes/blob/b1e3ace8dcb0a771fd882fc3ac4e490b009fa0d1/animation_nodes/nodes/mesh/get_linked_vertices.py#L10-L16 | ||||
tdamdouni/Pythonista | 3e082d53b6b9b501a3c8cf3251a8ad4c8be9c2ad | _2016/mysql-connector-pythonista/conversion.py | python | MySQLConverter._DATETIME_to_python | (self, v, dsc=None) | return pv | Returns DATETIME column type as datetime.datetime type. | Returns DATETIME column type as datetime.datetime type. | [
"Returns",
"DATETIME",
"column",
"type",
"as",
"datetime",
".",
"datetime",
"type",
"."
] | def _DATETIME_to_python(self, v, dsc=None):
"""
Returns DATETIME column type as datetime.datetime type.
"""
pv = None
try:
(sd, st) = v.split(' ')
if len(st) > 8:
(hms, fs) = st.split('.')
fs = int(fs.ljust(6, '0'))
... | [
"def",
"_DATETIME_to_python",
"(",
"self",
",",
"v",
",",
"dsc",
"=",
"None",
")",
":",
"pv",
"=",
"None",
"try",
":",
"(",
"sd",
",",
"st",
")",
"=",
"v",
".",
"split",
"(",
"' '",
")",
"if",
"len",
"(",
"st",
")",
">",
"8",
":",
"(",
"hms... | https://github.com/tdamdouni/Pythonista/blob/3e082d53b6b9b501a3c8cf3251a8ad4c8be9c2ad/_2016/mysql-connector-pythonista/conversion.py#L344-L363 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.