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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
x0rz/EQGRP_Lost_in_Translation | 6692b1486f562f027567a49523b8c151a4050988 | windows/fuzzbunch/pyreadline/console/ironpython_console.py | python | Console.pos | (self, x=None, y=None) | return x,y | Move or query the window cursor. | Move or query the window cursor. | [
"Move",
"or",
"query",
"the",
"window",
"cursor",
"."
] | def pos(self, x=None, y=None):
'''Move or query the window cursor.'''
if x is not None:
System.Console.CursorLeft=x
else:
x=System.Console.CursorLeft
if y is not None:
System.Console.CursorTop=y
else:
y=System.Console.CursorTop
... | [
"def",
"pos",
"(",
"self",
",",
"x",
"=",
"None",
",",
"y",
"=",
"None",
")",
":",
"if",
"x",
"is",
"not",
"None",
":",
"System",
".",
"Console",
".",
"CursorLeft",
"=",
"x",
"else",
":",
"x",
"=",
"System",
".",
"Console",
".",
"CursorLeft",
"... | https://github.com/x0rz/EQGRP_Lost_in_Translation/blob/6692b1486f562f027567a49523b8c151a4050988/windows/fuzzbunch/pyreadline/console/ironpython_console.py#L105-L115 | |
twisted/klein | 365f033010b76c6a060531d0abcd4146c726918f | src/klein/_plating.py | python | PlatedElement.lookupRenderMethod | (self, name) | @return: a renderer. | [] | def lookupRenderMethod(self, name):
"""
@return: a renderer.
"""
if name in self._renderers:
wrapped = self._renderers[name]
@modified("plated render wrapper", wrapped)
def renderWrapper(
request: IRequest, tag: Tag, *args: Any, **kw: ... | [
"def",
"lookupRenderMethod",
"(",
"self",
",",
"name",
")",
":",
"if",
"name",
"in",
"self",
".",
"_renderers",
":",
"wrapped",
"=",
"self",
".",
"_renderers",
"[",
"name",
"]",
"@",
"modified",
"(",
"\"plated render wrapper\"",
",",
"wrapped",
")",
"def",... | https://github.com/twisted/klein/blob/365f033010b76c6a060531d0abcd4146c726918f/src/klein/_plating.py#L162-L192 | |||
haiwen/seahub | e92fcd44e3e46260597d8faa9347cb8222b8b10d | seahub/api2/models.py | python | TokenV2.save | (self, *args, **kwargs) | return super(TokenV2, self).save(*args, **kwargs) | [] | def save(self, *args, **kwargs):
if not self.key:
self.key = self.generate_key()
return super(TokenV2, self).save(*args, **kwargs) | [
"def",
"save",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"if",
"not",
"self",
".",
"key",
":",
"self",
".",
"key",
"=",
"self",
".",
"generate_key",
"(",
")",
"return",
"super",
"(",
"TokenV2",
",",
"self",
")",
".",
"sa... | https://github.com/haiwen/seahub/blob/e92fcd44e3e46260597d8faa9347cb8222b8b10d/seahub/api2/models.py#L193-L196 | |||
achael/eht-imaging | bbd3aeb06bef52bf89fa1c06de71e5509a5b0015 | ehtim/imager.py | python | Imager.out_last | (self) | return self._out_list[-1] | Return last result. | Return last result. | [
"Return",
"last",
"result",
"."
] | def out_last(self):
"""Return last result.
"""
if self.nruns == 0:
print("No imager runs yet!")
return
return self._out_list[-1] | [
"def",
"out_last",
"(",
"self",
")",
":",
"if",
"self",
".",
"nruns",
"==",
"0",
":",
"print",
"(",
"\"No imager runs yet!\"",
")",
"return",
"return",
"self",
".",
"_out_list",
"[",
"-",
"1",
"]"
] | https://github.com/achael/eht-imaging/blob/bbd3aeb06bef52bf89fa1c06de71e5509a5b0015/ehtim/imager.py#L693-L699 | |
hakril/PythonForWindows | 61e027a678d5b87aa64fcf8a37a6661a86236589 | windows/winproxy/apis/advapi32.py | python | ConvertSecurityDescriptorToStringSecurityDescriptorW | (SecurityDescriptor, RequestedStringSDRevision, SecurityInformation, StringSecurityDescriptor, StringSecurityDescriptorLen) | return ConvertSecurityDescriptorToStringSecurityDescriptorW.ctypes_function(SecurityDescriptor, RequestedStringSDRevision, SecurityInformation, StringSecurityDescriptor, StringSecurityDescriptorLen) | [] | def ConvertSecurityDescriptorToStringSecurityDescriptorW(SecurityDescriptor, RequestedStringSDRevision, SecurityInformation, StringSecurityDescriptor, StringSecurityDescriptorLen):
return ConvertSecurityDescriptorToStringSecurityDescriptorW.ctypes_function(SecurityDescriptor, RequestedStringSDRevision, SecurityInfor... | [
"def",
"ConvertSecurityDescriptorToStringSecurityDescriptorW",
"(",
"SecurityDescriptor",
",",
"RequestedStringSDRevision",
",",
"SecurityInformation",
",",
"StringSecurityDescriptor",
",",
"StringSecurityDescriptorLen",
")",
":",
"return",
"ConvertSecurityDescriptorToStringSecurityDes... | https://github.com/hakril/PythonForWindows/blob/61e027a678d5b87aa64fcf8a37a6661a86236589/windows/winproxy/apis/advapi32.py#L216-L217 | |||
realpython/book2-exercises | cde325eac8e6d8cff2316601c2e5b36bb46af7d0 | web2py/venv/lib/python2.7/site-packages/pip/_vendor/distlib/_backport/tarfile.py | python | TarIter.__iter__ | (self) | return self | Return iterator object. | Return iterator object. | [
"Return",
"iterator",
"object",
"."
] | def __iter__(self):
"""Return iterator object.
"""
return self | [
"def",
"__iter__",
"(",
"self",
")",
":",
"return",
"self"
] | https://github.com/realpython/book2-exercises/blob/cde325eac8e6d8cff2316601c2e5b36bb46af7d0/web2py/venv/lib/python2.7/site-packages/pip/_vendor/distlib/_backport/tarfile.py#L2565-L2568 | |
bruderstein/PythonScript | df9f7071ddf3a079e3a301b9b53a6dc78cf1208f | PythonLib/min/_pydecimal.py | python | Decimal._check_nans | (self, other=None, context=None) | return 0 | Returns whether the number is not actually one.
if self, other are sNaN, signal
if self, other are NaN return nan
return 0
Done before operations. | Returns whether the number is not actually one. | [
"Returns",
"whether",
"the",
"number",
"is",
"not",
"actually",
"one",
"."
] | def _check_nans(self, other=None, context=None):
"""Returns whether the number is not actually one.
if self, other are sNaN, signal
if self, other are NaN return nan
return 0
Done before operations.
"""
self_is_nan = self._isnan()
if other is None:
... | [
"def",
"_check_nans",
"(",
"self",
",",
"other",
"=",
"None",
",",
"context",
"=",
"None",
")",
":",
"self_is_nan",
"=",
"self",
".",
"_isnan",
"(",
")",
"if",
"other",
"is",
"None",
":",
"other_is_nan",
"=",
"False",
"else",
":",
"other_is_nan",
"=",
... | https://github.com/bruderstein/PythonScript/blob/df9f7071ddf3a079e3a301b9b53a6dc78cf1208f/PythonLib/min/_pydecimal.py#L745-L775 | |
TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | 5bb97d7e3ffd913abddb4cfa7d78a1b4c868890e | deep-learning/fastai-docs/fastai_docs-master/dev_nb/nb_004b.py | python | to_fp16 | (learn:Learner, loss_scale:float=512., flat_master:bool=False) | return learn | Transforms the learner in FP16 precision | Transforms the learner in FP16 precision | [
"Transforms",
"the",
"learner",
"in",
"FP16",
"precision"
] | def to_fp16(learn:Learner, loss_scale:float=512., flat_master:bool=False)->Learner:
"Transforms the learner in FP16 precision"
learn.model = model2half(learn.model)
learn.mp_cb = MixedPrecision(learn, loss_scale=loss_scale, flat_master=flat_master)
learn.callbacks.append(learn.mp_cb)
return learn | [
"def",
"to_fp16",
"(",
"learn",
":",
"Learner",
",",
"loss_scale",
":",
"float",
"=",
"512.",
",",
"flat_master",
":",
"bool",
"=",
"False",
")",
"->",
"Learner",
":",
"learn",
".",
"model",
"=",
"model2half",
"(",
"learn",
".",
"model",
")",
"learn",
... | https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/5bb97d7e3ffd913abddb4cfa7d78a1b4c868890e/deep-learning/fastai-docs/fastai_docs-master/dev_nb/nb_004b.py#L134-L139 | |
leo-editor/leo-editor | 383d6776d135ef17d73d935a2f0ecb3ac0e99494 | leo/plugins/obsolete/wxGui.py | python | wxLeoTree.item2vnode | (self,item) | Override baseNativeTreeWidget.item2vnode. | Override baseNativeTreeWidget.item2vnode. | [
"Override",
"baseNativeTreeWidget",
".",
"item2vnode",
"."
] | def item2vnode (self,item):
'''Override baseNativeTreeWidget.item2vnode.'''
w = self.treeWidget
if item and item.IsOk():
v = self.getItemData(item)
return v
else:
return None | [
"def",
"item2vnode",
"(",
"self",
",",
"item",
")",
":",
"w",
"=",
"self",
".",
"treeWidget",
"if",
"item",
"and",
"item",
".",
"IsOk",
"(",
")",
":",
"v",
"=",
"self",
".",
"getItemData",
"(",
"item",
")",
"return",
"v",
"else",
":",
"return",
"... | https://github.com/leo-editor/leo-editor/blob/383d6776d135ef17d73d935a2f0ecb3ac0e99494/leo/plugins/obsolete/wxGui.py#L4166-L4176 | ||
holoviz/hvplot | 25f3285c8ac315e96929b57504e4674d40b947b5 | hvplot/interactive.py | python | Interactive.eval | (self) | return obj | Returns the currrent state of the interactive expression. The
returned object is no longer interactive. | Returns the currrent state of the interactive expression. The
returned object is no longer interactive. | [
"Returns",
"the",
"currrent",
"state",
"of",
"the",
"interactive",
"expression",
".",
"The",
"returned",
"object",
"is",
"no",
"longer",
"interactive",
"."
] | def eval(self):
"""
Returns the currrent state of the interactive expression. The
returned object is no longer interactive.
"""
obj = self._current
if self._method:
return getattr(obj, self._method, obj)
return obj | [
"def",
"eval",
"(",
"self",
")",
":",
"obj",
"=",
"self",
".",
"_current",
"if",
"self",
".",
"_method",
":",
"return",
"getattr",
"(",
"obj",
",",
"self",
".",
"_method",
",",
"obj",
")",
"return",
"obj"
] | https://github.com/holoviz/hvplot/blob/25f3285c8ac315e96929b57504e4674d40b947b5/hvplot/interactive.py#L370-L378 | |
numenta/numenta-apps | 02903b0062c89c2c259b533eea2df6e8bb44eaf3 | taurus_metric_collectors/taurus_metric_collectors/common_services/metric_maintenance_agent.py | python | _purgeDeprecatedCompanies | () | Purge cached data and Taurus Engine metrics/models corresponding to symbols
that are in xignite_security table, but not in metrics configuration. | Purge cached data and Taurus Engine metrics/models corresponding to symbols
that are in xignite_security table, but not in metrics configuration. | [
"Purge",
"cached",
"data",
"and",
"Taurus",
"Engine",
"metrics",
"/",
"models",
"corresponding",
"to",
"symbols",
"that",
"are",
"in",
"xignite_security",
"table",
"but",
"not",
"in",
"metrics",
"configuration",
"."
] | def _purgeDeprecatedCompanies():
"""Purge cached data and Taurus Engine metrics/models corresponding to symbols
that are in xignite_security table, but not in metrics configuration.
"""
activeCompanySymbols = set(security[0] for security in
metric_utils.getAllMetricSecurities())
... | [
"def",
"_purgeDeprecatedCompanies",
"(",
")",
":",
"activeCompanySymbols",
"=",
"set",
"(",
"security",
"[",
"0",
"]",
"for",
"security",
"in",
"metric_utils",
".",
"getAllMetricSecurities",
"(",
")",
")",
"deprecatedSymbols",
"=",
"set",
"(",
"_queryCachedCompany... | https://github.com/numenta/numenta-apps/blob/02903b0062c89c2c259b533eea2df6e8bb44eaf3/taurus_metric_collectors/taurus_metric_collectors/common_services/metric_maintenance_agent.py#L122-L138 | ||
cloudant/bigcouch | 8e9c1ec0ed1676ff152f10658f5c83a1a91fa8fe | couchjs/scons/scons-time.py | python | SConsTimer.doc_to_help | (self, obj) | return self.outdent(doc) | Translates an object's __doc__ string into help text.
This strips a consistent number of spaces from each line in the
help text, essentially "outdenting" the text to the left-most
column. | Translates an object's __doc__ string into help text. | [
"Translates",
"an",
"object",
"s",
"__doc__",
"string",
"into",
"help",
"text",
"."
] | def doc_to_help(self, obj):
"""
Translates an object's __doc__ string into help text.
This strips a consistent number of spaces from each line in the
help text, essentially "outdenting" the text to the left-most
column.
"""
doc = obj.__doc__
if doc is Non... | [
"def",
"doc_to_help",
"(",
"self",
",",
"obj",
")",
":",
"doc",
"=",
"obj",
".",
"__doc__",
"if",
"doc",
"is",
"None",
":",
"return",
"''",
"return",
"self",
".",
"outdent",
"(",
"doc",
")"
] | https://github.com/cloudant/bigcouch/blob/8e9c1ec0ed1676ff152f10658f5c83a1a91fa8fe/couchjs/scons/scons-time.py#L576-L587 | |
edisonlz/fastor | 342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3 | base/site-packages/redis_model/models/base.py | python | ModelBase._initialize_attributes | (self,model_class, name, bases, attrs) | Initialize the attributes of the model.
param:
model_class:object
name:string
bases:base model
attrs:attribute | Initialize the attributes of the model.
param:
model_class:object
name:string
bases:base model
attrs:attribute | [
"Initialize",
"the",
"attributes",
"of",
"the",
"model",
".",
"param",
":",
"model_class",
":",
"object",
"name",
":",
"string",
"bases",
":",
"base",
"model",
"attrs",
":",
"attribute"
] | def _initialize_attributes(self,model_class, name, bases, attrs):
"""
Initialize the attributes of the model.
param:
model_class:object
name:string
bases:base model
attrs:attribute
"""
#主要功能：添加属性列表
model_class.attributes = {... | [
"def",
"_initialize_attributes",
"(",
"self",
",",
"model_class",
",",
"name",
",",
"bases",
",",
"attrs",
")",
":",
"#主要功能：添加属性列表",
"model_class",
".",
"attributes",
"=",
"{",
"}",
"for",
"k",
",",
"v",
"in",
"attrs",
".",
"iteritems",
"(",
")",
":",
... | https://github.com/edisonlz/fastor/blob/342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3/base/site-packages/redis_model/models/base.py#L56-L70 | ||
pytorch/translate | 564d011b10b4cef4e110c092c2912277ed64c713 | pytorch_translate/transformer_aan.py | python | TransformerAANDecoder.max_positions | (self) | return min(self.max_target_positions, self.embed_positions.max_positions) | Maximum output length supported by the decoder. | Maximum output length supported by the decoder. | [
"Maximum",
"output",
"length",
"supported",
"by",
"the",
"decoder",
"."
] | def max_positions(self):
"""Maximum output length supported by the decoder."""
if self.embed_positions is None:
return self.max_target_positions
return min(self.max_target_positions, self.embed_positions.max_positions) | [
"def",
"max_positions",
"(",
"self",
")",
":",
"if",
"self",
".",
"embed_positions",
"is",
"None",
":",
"return",
"self",
".",
"max_target_positions",
"return",
"min",
"(",
"self",
".",
"max_target_positions",
",",
"self",
".",
"embed_positions",
".",
"max_pos... | https://github.com/pytorch/translate/blob/564d011b10b4cef4e110c092c2912277ed64c713/pytorch_translate/transformer_aan.py#L494-L498 | |
sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/coding/relative_finite_field_extension.py | python | RelativeFiniteFieldExtension._latex_ | (self) | return "\\textnormal{Relative field extension between %s and %s}" % (self.absolute_field()._latex_(),
self.relative_field()._latex_()) | r"""
Returns a latex representation of ``self``.
EXAMPLES::
sage: from sage.coding.relative_finite_field_extension import *
sage: Fqm.<aa> = GF(16)
sage: Fq.<a> = GF(4)
sage: latex(RelativeFiniteFieldExtension(Fqm, Fq))
\textnormal{Relative f... | r"""
Returns a latex representation of ``self``. | [
"r",
"Returns",
"a",
"latex",
"representation",
"of",
"self",
"."
] | def _latex_(self):
r"""
Returns a latex representation of ``self``.
EXAMPLES::
sage: from sage.coding.relative_finite_field_extension import *
sage: Fqm.<aa> = GF(16)
sage: Fq.<a> = GF(4)
sage: latex(RelativeFiniteFieldExtension(Fqm, Fq))
... | [
"def",
"_latex_",
"(",
"self",
")",
":",
"return",
"\"\\\\textnormal{Relative field extension between %s and %s}\"",
"%",
"(",
"self",
".",
"absolute_field",
"(",
")",
".",
"_latex_",
"(",
")",
",",
"self",
".",
"relative_field",
"(",
")",
".",
"_latex_",
"(",
... | https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/coding/relative_finite_field_extension.py#L153-L166 | |
thaines/helit | 04bd36ee0fb6b762c63d746e2cd8813641dceda9 | handwriting/corpus/extract_text.py | python | each_prefixed_paragraph | (lines, attribution, prefix) | Same as each_named_paragraph, but where each title has a prefix. | Same as each_named_paragraph, but where each title has a prefix. | [
"Same",
"as",
"each_named_paragraph",
"but",
"where",
"each",
"title",
"has",
"a",
"prefix",
"."
] | def each_prefixed_paragraph(lines, attribution, prefix):
"""Same as each_named_paragraph, but where each title has a prefix."""
buf = []
title = 'Unknown'
for line in lines:
line = line.strip()
line = line.replace('_','')
if has_letters(line):
buf.append(line)
elif len(buf)!=0:... | [
"def",
"each_prefixed_paragraph",
"(",
"lines",
",",
"attribution",
",",
"prefix",
")",
":",
"buf",
"=",
"[",
"]",
"title",
"=",
"'Unknown'",
"for",
"line",
"in",
"lines",
":",
"line",
"=",
"line",
".",
"strip",
"(",
")",
"line",
"=",
"line",
".",
"r... | https://github.com/thaines/helit/blob/04bd36ee0fb6b762c63d746e2cd8813641dceda9/handwriting/corpus/extract_text.py#L140-L163 | ||
hack12306/12306-booking | 726c830c2e771d5cd8e09772e7646e480dddb086 | booking/remind.py | python | remind_left_ticket | () | 有票提醒 | 有票提醒 | [
"有票提醒"
] | def remind_left_ticket():
"""
有票提醒
"""
cmd = 'open %s --hide --background' % settings.TRAIN_AUDIO_FILE
os.system(cmd) | [
"def",
"remind_left_ticket",
"(",
")",
":",
"cmd",
"=",
"'open %s --hide --background'",
"%",
"settings",
".",
"TRAIN_AUDIO_FILE",
"os",
".",
"system",
"(",
"cmd",
")"
] | https://github.com/hack12306/12306-booking/blob/726c830c2e771d5cd8e09772e7646e480dddb086/booking/remind.py#L14-L19 | ||
realpython/book2-exercises | cde325eac8e6d8cff2316601c2e5b36bb46af7d0 | web2py/venv/lib/python2.7/site-packages/pip/_vendor/requests/packages/urllib3/util/ssl_.py | python | ssl_wrap_socket | (sock, keyfile=None, certfile=None, cert_reqs=None,
ca_certs=None, server_hostname=None,
ssl_version=None, ciphers=None, ssl_context=None,
ca_cert_dir=None) | return context.wrap_socket(sock) | All arguments except for server_hostname, ssl_context, and ca_cert_dir have
the same meaning as they do when using :func:`ssl.wrap_socket`.
:param server_hostname:
When SNI is supported, the expected hostname of the certificate
:param ssl_context:
A pre-made :class:`SSLContext` object. If n... | All arguments except for server_hostname, ssl_context, and ca_cert_dir have
the same meaning as they do when using :func:`ssl.wrap_socket`. | [
"All",
"arguments",
"except",
"for",
"server_hostname",
"ssl_context",
"and",
"ca_cert_dir",
"have",
"the",
"same",
"meaning",
"as",
"they",
"do",
"when",
"using",
":",
"func",
":",
"ssl",
".",
"wrap_socket",
"."
] | def ssl_wrap_socket(sock, keyfile=None, certfile=None, cert_reqs=None,
ca_certs=None, server_hostname=None,
ssl_version=None, ciphers=None, ssl_context=None,
ca_cert_dir=None):
"""
All arguments except for server_hostname, ssl_context, and ca_cert_dir ... | [
"def",
"ssl_wrap_socket",
"(",
"sock",
",",
"keyfile",
"=",
"None",
",",
"certfile",
"=",
"None",
",",
"cert_reqs",
"=",
"None",
",",
"ca_certs",
"=",
"None",
",",
"server_hostname",
"=",
"None",
",",
"ssl_version",
"=",
"None",
",",
"ciphers",
"=",
"Non... | https://github.com/realpython/book2-exercises/blob/cde325eac8e6d8cff2316601c2e5b36bb46af7d0/web2py/venv/lib/python2.7/site-packages/pip/_vendor/requests/packages/urllib3/util/ssl_.py#L267-L320 | |
wrye-bash/wrye-bash | d495c47cfdb44475befa523438a40c4419cb386f | Mopy/bash/basher/files_links.py | python | File_Redate._perform_refresh | (self) | Refreshes the data store - | Refreshes the data store - | [
"Refreshes",
"the",
"data",
"store",
"-"
] | def _perform_refresh(self):
"""Refreshes the data store - """
self.window.data_store.refresh(refresh_infos=False) | [
"def",
"_perform_refresh",
"(",
"self",
")",
":",
"self",
".",
"window",
".",
"data_store",
".",
"refresh",
"(",
"refresh_infos",
"=",
"False",
")"
] | https://github.com/wrye-bash/wrye-bash/blob/d495c47cfdb44475befa523438a40c4419cb386f/Mopy/bash/basher/files_links.py#L345-L347 | ||
igraph/python-igraph | e9f83e8af08f24ea025596e745917197d8b44d94 | src/igraph/statistics.py | python | RunningMean.mean | (self) | return self._mean | Returns the current mean | Returns the current mean | [
"Returns",
"the",
"current",
"mean"
] | def mean(self):
"""Returns the current mean"""
return self._mean | [
"def",
"mean",
"(",
"self",
")",
":",
"return",
"self",
".",
"_mean"
] | https://github.com/igraph/python-igraph/blob/e9f83e8af08f24ea025596e745917197d8b44d94/src/igraph/statistics.py#L423-L425 | |
yhlleo/tensorflow.cifar10 | cd950323e7157e30391c123b665804b6276e38a6 | cifar10.py | python | loss | (logits, labels) | return tf.add_n(tf.get_collection('losses'), name='total_loss') | Add L2Loss to all the trainable variables.
Add summary for for "Loss" and "Loss/avg".
Args:
logits: Logits from inference().
labels: Labels from distorted_inputs or inputs(). 1-D tensor
of shape [batch_size]
Returns:
Loss tensor of type float. | Add L2Loss to all the trainable variables. | [
"Add",
"L2Loss",
"to",
"all",
"the",
"trainable",
"variables",
"."
] | def loss(logits, labels):
"""Add L2Loss to all the trainable variables.
Add summary for for "Loss" and "Loss/avg".
Args:
logits: Logits from inference().
labels: Labels from distorted_inputs or inputs(). 1-D tensor
of shape [batch_size]
Returns:
Loss tensor of type float.
"""
# Res... | [
"def",
"loss",
"(",
"logits",
",",
"labels",
")",
":",
"# Reshape the labels into a dense Tensor of",
"# shape [batch_size, NUM_CLASSES].",
"sparse_labels",
"=",
"tf",
".",
"reshape",
"(",
"labels",
",",
"[",
"FLAGS",
".",
"batch_size",
",",
"1",
"]",
")",
"# indi... | https://github.com/yhlleo/tensorflow.cifar10/blob/cd950323e7157e30391c123b665804b6276e38a6/cifar10.py#L257-L287 | |
robinhood/faust | 01b4c0ad8390221db71751d80001b0fd879291e2 | faust/channels.py | python | get_topic_name | (self) | Get the topic name, or raise if this is not a named channel. | Get the topic name, or raise if this is not a named channel. | [
"Get",
"the",
"topic",
"name",
"or",
"raise",
"if",
"this",
"is",
"not",
"a",
"named",
"channel",
"."
] | def get_topic_name(self) -> str:
"""Get the topic name, or raise if this is not a named channel."""
raise NotImplementedError('Channels are unnamed topics') | [
"def",
"get_topic_name",
"(",
"self",
")",
"->",
"str",
":",
"raise",
"NotImplementedError",
"(",
"'Channels are unnamed topics'",
")"
] | https://github.com/robinhood/faust/blob/01b4c0ad8390221db71751d80001b0fd879291e2/faust/channels.py#L191-L193 | ||
holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/sympy/solvers/ode.py | python | _nonlinear_3eq_order1_type1 | (x, y, z, t, eq) | return [sol1, sol2, sol3] | r"""
Equations:
.. math:: a x' = (b - c) y z, \enspace b y' = (c - a) z x, \enspace c z' = (a - b) x y
First Integrals:
.. math:: a x^{2} + b y^{2} + c z^{2} = C_1
.. math:: a^{2} x^{2} + b^{2} y^{2} + c^{2} z^{2} = C_2
where `C_1` and `C_2` are arbitrary constants. On solving the integrals... | r"""
Equations: | [
"r",
"Equations",
":"
] | def _nonlinear_3eq_order1_type1(x, y, z, t, eq):
r"""
Equations:
.. math:: a x' = (b - c) y z, \enspace b y' = (c - a) z x, \enspace c z' = (a - b) x y
First Integrals:
.. math:: a x^{2} + b y^{2} + c z^{2} = C_1
.. math:: a^{2} x^{2} + b^{2} y^{2} + c^{2} z^{2} = C_2
where `C_1` and `C... | [
"def",
"_nonlinear_3eq_order1_type1",
"(",
"x",
",",
"y",
",",
"z",
",",
"t",
",",
"eq",
")",
":",
"C1",
",",
"C2",
"=",
"get_numbered_constants",
"(",
"eq",
",",
"num",
"=",
"2",
")",
"u",
",",
"v",
",",
"w",
"=",
"symbols",
"(",
"'u, v, w'",
")... | https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/sympy/solvers/ode.py#L9025-L9072 | |
JinnLynn/alfred-workflows | 1fc663b00f56b4dc3f9fa2212a8600e6da616fc1 | lib/six/__init__.py | python | with_metaclass | (meta, base=object) | return meta("NewBase", (base,), {}) | Create a base class with a metaclass. | Create a base class with a metaclass. | [
"Create",
"a",
"base",
"class",
"with",
"a",
"metaclass",
"."
] | def with_metaclass(meta, base=object):
"""Create a base class with a metaclass."""
return meta("NewBase", (base,), {}) | [
"def",
"with_metaclass",
"(",
"meta",
",",
"base",
"=",
"object",
")",
":",
"return",
"meta",
"(",
"\"NewBase\"",
",",
"(",
"base",
",",
")",
",",
"{",
"}",
")"
] | https://github.com/JinnLynn/alfred-workflows/blob/1fc663b00f56b4dc3f9fa2212a8600e6da616fc1/lib/six/__init__.py#L402-L404 | |
zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_hxb2/lib/python3.5/site-packages/PIL/PngImagePlugin.py | python | PngImageFile.load_end | (self) | internal: finished reading image data | internal: finished reading image data | [
"internal",
":",
"finished",
"reading",
"image",
"data"
] | def load_end(self):
"internal: finished reading image data"
self.png.close()
self.png = None | [
"def",
"load_end",
"(",
"self",
")",
":",
"self",
".",
"png",
".",
"close",
"(",
")",
"self",
".",
"png",
"=",
"None"
] | https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_hxb2/lib/python3.5/site-packages/PIL/PngImagePlugin.py#L611-L615 | ||
WilsonWangTHU/mbbl | bb88a016de2fcd8ea0ed9c4d5c539817d2b476e7 | mbbl/env/gym_env/noise_gym_cartpole.py | python | env._set_groundtruth_api | (self) | @brief:
In this function, we could provide the ground-truth dynamics
and rewards APIs for the agent to call.
For the new environments, if we don't set their ground-truth
apis, then we cannot test the algorithm using ground-truth
dynamics or... | [] | def _set_groundtruth_api(self):
""" @brief:
In this function, we could provide the ground-truth dynamics
and rewards APIs for the agent to call.
For the new environments, if we don't set their ground-truth
apis, then we cannot test the algorithm us... | [
"def",
"_set_groundtruth_api",
"(",
"self",
")",
":",
"self",
".",
"_set_reward_api",
"(",
")",
"self",
".",
"_set_dynamics_api",
"(",
")"
] | https://github.com/WilsonWangTHU/mbbl/blob/bb88a016de2fcd8ea0ed9c4d5c539817d2b476e7/mbbl/env/gym_env/noise_gym_cartpole.py#L98-L107 | |||
ironport/shrapnel | 9496a64c46271b0c5cef0feb8f2cdf33cb752bb6 | coro/http/client.py | python | request.wake | (self) | signal that a reply to this request has been received | signal that a reply to this request has been received | [
"signal",
"that",
"a",
"reply",
"to",
"this",
"request",
"has",
"been",
"received"
] | def wake (self):
"signal that a reply to this request has been received"
if self.rfile and self.force:
self.content = self.rfile.read()
self.latch.wake_all()
if self.rfile and not self.force:
self.rfile.wait() | [
"def",
"wake",
"(",
"self",
")",
":",
"if",
"self",
".",
"rfile",
"and",
"self",
".",
"force",
":",
"self",
".",
"content",
"=",
"self",
".",
"rfile",
".",
"read",
"(",
")",
"self",
".",
"latch",
".",
"wake_all",
"(",
")",
"if",
"self",
".",
"r... | https://github.com/ironport/shrapnel/blob/9496a64c46271b0c5cef0feb8f2cdf33cb752bb6/coro/http/client.py#L41-L47 | ||
sefakilic/goodreads | 5187100d66b87c87db8b095bbf576e1b92422a23 | goodreads/event.py | python | GoodreadsEvent.start_at | (self) | return self._event_dict['start_at']['#text'] | Event starts at | Event starts at | [
"Event",
"starts",
"at"
] | def start_at(self):
"""Event starts at"""
return self._event_dict['start_at']['#text'] | [
"def",
"start_at",
"(",
"self",
")",
":",
"return",
"self",
".",
"_event_dict",
"[",
"'start_at'",
"]",
"[",
"'#text'",
"]"
] | https://github.com/sefakilic/goodreads/blob/5187100d66b87c87db8b095bbf576e1b92422a23/goodreads/event.py#L102-L104 | |
materialsproject/fireworks | 83a907c19baf2a5c9fdcf63996f9797c3c85b785 | fireworks/core/launchpad.py | python | LaunchPad.defuse_wf | (self, fw_id, defuse_all_states=True) | Defuse the workflow containing the given firework id.
Args:
fw_id (int): firework id
defuse_all_states (bool) | Defuse the workflow containing the given firework id. | [
"Defuse",
"the",
"workflow",
"containing",
"the",
"given",
"firework",
"id",
"."
] | def defuse_wf(self, fw_id, defuse_all_states=True):
"""
Defuse the workflow containing the given firework id.
Args:
fw_id (int): firework id
defuse_all_states (bool)
"""
wf = self.get_wf_by_fw_id_lzyfw(fw_id)
for fw in wf:
if fw.state ... | [
"def",
"defuse_wf",
"(",
"self",
",",
"fw_id",
",",
"defuse_all_states",
"=",
"True",
")",
":",
"wf",
"=",
"self",
".",
"get_wf_by_fw_id_lzyfw",
"(",
"fw_id",
")",
"for",
"fw",
"in",
"wf",
":",
"if",
"fw",
".",
"state",
"not",
"in",
"[",
"\"COMPLETED\"... | https://github.com/materialsproject/fireworks/blob/83a907c19baf2a5c9fdcf63996f9797c3c85b785/fireworks/core/launchpad.py#L1052-L1063 | ||
plotly/plotly.py | cfad7862594b35965c0e000813bd7805e8494a5b | packages/python/plotly/plotly/graph_objs/scatter/_legendgrouptitle.py | python | Legendgrouptitle.__init__ | (self, arg=None, font=None, text=None, **kwargs) | Construct a new Legendgrouptitle object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.scatter.Legendgrouptitle`
font
Sets this legend group's title font.
... | Construct a new Legendgrouptitle object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.scatter.Legendgrouptitle`
font
Sets this legend group's title font.
... | [
"Construct",
"a",
"new",
"Legendgrouptitle",
"object",
"Parameters",
"----------",
"arg",
"dict",
"of",
"properties",
"compatible",
"with",
"this",
"constructor",
"or",
"an",
"instance",
"of",
":",
"class",
":",
"plotly",
".",
"graph_objs",
".",
"scatter",
".",
... | def __init__(self, arg=None, font=None, text=None, **kwargs):
"""
Construct a new Legendgrouptitle object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.scatter... | [
"def",
"__init__",
"(",
"self",
",",
"arg",
"=",
"None",
",",
"font",
"=",
"None",
",",
"text",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"super",
"(",
"Legendgrouptitle",
",",
"self",
")",
".",
"__init__",
"(",
"\"legendgrouptitle\"",
")",
"if... | https://github.com/plotly/plotly.py/blob/cfad7862594b35965c0e000813bd7805e8494a5b/packages/python/plotly/plotly/graph_objs/scatter/_legendgrouptitle.py#L91-L154 | ||
robinhood/faust | 01b4c0ad8390221db71751d80001b0fd879291e2 | faust/streams.py | python | Stream.on_stop | (self) | Signal that the stream is stopping. | Signal that the stream is stopping. | [
"Signal",
"that",
"the",
"stream",
"is",
"stopping",
"."
] | async def on_stop(self) -> None:
"""Signal that the stream is stopping."""
self._passive = False
self._passive_started.clear()
for table_or_stream in self.combined:
await table_or_stream.remove_from_stream(self) | [
"async",
"def",
"on_stop",
"(",
"self",
")",
"->",
"None",
":",
"self",
".",
"_passive",
"=",
"False",
"self",
".",
"_passive_started",
".",
"clear",
"(",
")",
"for",
"table_or_stream",
"in",
"self",
".",
"combined",
":",
"await",
"table_or_stream",
".",
... | https://github.com/robinhood/faust/blob/01b4c0ad8390221db71751d80001b0fd879291e2/faust/streams.py#L740-L745 | ||
krintoxi/NoobSec-Toolkit | 38738541cbc03cedb9a3b3ed13b629f781ad64f6 | NoobSecToolkit - MAC OSX/tools/inject/plugins/generic/search.py | python | Search.searchTable | (self) | [] | def searchTable(self):
bruteForce = False
if Backend.isDbms(DBMS.MYSQL) and not kb.data.has_information_schema:
errMsg = "information_schema not available, "
errMsg += "back-end DBMS is MySQL < 5.0"
bruteForce = True
if bruteForce:
message = "do ... | [
"def",
"searchTable",
"(",
"self",
")",
":",
"bruteForce",
"=",
"False",
"if",
"Backend",
".",
"isDbms",
"(",
"DBMS",
".",
"MYSQL",
")",
"and",
"not",
"kb",
".",
"data",
".",
"has_information_schema",
":",
"errMsg",
"=",
"\"information_schema not available, \"... | https://github.com/krintoxi/NoobSec-Toolkit/blob/38738541cbc03cedb9a3b3ed13b629f781ad64f6/NoobSecToolkit - MAC OSX/tools/inject/plugins/generic/search.py#L139-L333 | ||||
jparkhill/TensorMol | d52104dc7ee46eec8301d332a95d672270ac0bd1 | TensorMol/TFNetworks/TFBehlerParinelloSymEE.py | python | MolInstance_DirectBP_Charge_SymFunction.train_step | (self, step) | return | Perform a single training step (complete processing of all input), using minibatches of size self.batch_size.
Training object including dipole, energy and gradient
Args:
step: the index of this step. | Perform a single training step (complete processing of all input), using minibatches of size self.batch_size.
Training object including dipole, energy and gradient | [
"Perform",
"a",
"single",
"training",
"step",
"(",
"complete",
"processing",
"of",
"all",
"input",
")",
"using",
"minibatches",
"of",
"size",
"self",
".",
"batch_size",
".",
"Training",
"object",
"including",
"dipole",
"energy",
"and",
"gradient"
] | def train_step(self, step):
"""
Perform a single training step (complete processing of all input), using minibatches of size self.batch_size.
Training object including dipole, energy and gradient
Args:
step: the index of this step.
"""
Ncase_train = self.TData.NTrain
start_time = time.time()
train_l... | [
"def",
"train_step",
"(",
"self",
",",
"step",
")",
":",
"Ncase_train",
"=",
"self",
".",
"TData",
".",
"NTrain",
"start_time",
"=",
"time",
".",
"time",
"(",
")",
"train_loss",
"=",
"0.0",
"num_of_mols",
"=",
"0",
"pre_output",
"=",
"np",
".",
"zeros"... | https://github.com/jparkhill/TensorMol/blob/d52104dc7ee46eec8301d332a95d672270ac0bd1/TensorMol/TFNetworks/TFBehlerParinelloSymEE.py#L2156-L2189 | |
tribe29/checkmk | 6260f2512e159e311f426e16b84b19d0b8e9ad0c | cmk/gui/livestatus_utils/commands/downtimes.py | python | delete_downtime | (connection, downtime_id) | Delete a scheduled downtime based upon the downtime id | Delete a scheduled downtime based upon the downtime id | [
"Delete",
"a",
"scheduled",
"downtime",
"based",
"upon",
"the",
"downtime",
"id"
] | def delete_downtime(connection, downtime_id):
"""Delete a scheduled downtime based upon the downtime id"""
with detailed_connection(connection) as conn:
entry = Query(
[Downtimes.is_service],
Downtimes.id == downtime_id,
).fetchone(conn)
if entry["is_service"]:
... | [
"def",
"delete_downtime",
"(",
"connection",
",",
"downtime_id",
")",
":",
"with",
"detailed_connection",
"(",
"connection",
")",
"as",
"conn",
":",
"entry",
"=",
"Query",
"(",
"[",
"Downtimes",
".",
"is_service",
"]",
",",
"Downtimes",
".",
"id",
"==",
"d... | https://github.com/tribe29/checkmk/blob/6260f2512e159e311f426e16b84b19d0b8e9ad0c/cmk/gui/livestatus_utils/commands/downtimes.py#L110-L120 | ||
Azure/azure-storage-python | 4306898850dd21617644fc537a57d025e833db74 | azure-storage-blob/azure/storage/blob/blockblobservice.py | python | BlockBlobService.__init__ | (self, account_name=None, account_key=None, sas_token=None, is_emulated=False,
protocol=DEFAULT_PROTOCOL, endpoint_suffix=SERVICE_HOST_BASE, custom_domain=None,
request_session=None, connection_string=None, socket_timeout=None, token_credential=None) | :param str account_name:
The storage account name. This is used to authenticate requests
signed with an account key and to construct the storage endpoint. It
is required unless a connection string is given, or if a custom
domain is used with anonymous authentication.
... | :param str account_name:
The storage account name. This is used to authenticate requests
signed with an account key and to construct the storage endpoint. It
is required unless a connection string is given, or if a custom
domain is used with anonymous authentication.
... | [
":",
"param",
"str",
"account_name",
":",
"The",
"storage",
"account",
"name",
".",
"This",
"is",
"used",
"to",
"authenticate",
"requests",
"signed",
"with",
"an",
"account",
"key",
"and",
"to",
"construct",
"the",
"storage",
"endpoint",
".",
"It",
"is",
"... | def __init__(self, account_name=None, account_key=None, sas_token=None, is_emulated=False,
protocol=DEFAULT_PROTOCOL, endpoint_suffix=SERVICE_HOST_BASE, custom_domain=None,
request_session=None, connection_string=None, socket_timeout=None, token_credential=None):
'''
:p... | [
"def",
"__init__",
"(",
"self",
",",
"account_name",
"=",
"None",
",",
"account_key",
"=",
"None",
",",
"sas_token",
"=",
"None",
",",
"is_emulated",
"=",
"False",
",",
"protocol",
"=",
"DEFAULT_PROTOCOL",
",",
"endpoint_suffix",
"=",
"SERVICE_HOST_BASE",
",",... | https://github.com/Azure/azure-storage-python/blob/4306898850dd21617644fc537a57d025e833db74/azure-storage-blob/azure/storage/blob/blockblobservice.py#L101-L150 | ||
PaddlePaddle/Research | 2da0bd6c72d60e9df403aff23a7802779561c4a1 | KG/DuEE_baseline/bin/utils/utils.py | python | read_by_lines | (path, encoding="utf-8") | return result | read the data by line | read the data by line | [
"read",
"the",
"data",
"by",
"line"
] | def read_by_lines(path, encoding="utf-8"):
"""read the data by line"""
result = list()
with open(path, "r") as infile:
for line in infile:
result.append(line.strip().decode(encoding))
return result | [
"def",
"read_by_lines",
"(",
"path",
",",
"encoding",
"=",
"\"utf-8\"",
")",
":",
"result",
"=",
"list",
"(",
")",
"with",
"open",
"(",
"path",
",",
"\"r\"",
")",
"as",
"infile",
":",
"for",
"line",
"in",
"infile",
":",
"result",
".",
"append",
"(",
... | https://github.com/PaddlePaddle/Research/blob/2da0bd6c72d60e9df403aff23a7802779561c4a1/KG/DuEE_baseline/bin/utils/utils.py#L9-L15 | |
caiiiac/Machine-Learning-with-Python | 1a26c4467da41ca4ebc3d5bd789ea942ef79422f | MachineLearning/venv/lib/python3.5/site-packages/sklearn/linear_model/stochastic_gradient.py | python | BaseSGDRegressor.fit | (self, X, y, coef_init=None, intercept_init=None,
sample_weight=None) | return self._fit(X, y, alpha=self.alpha, C=1.0,
loss=self.loss, learning_rate=self.learning_rate,
coef_init=coef_init,
intercept_init=intercept_init,
sample_weight=sample_weight) | Fit linear model with Stochastic Gradient Descent.
Parameters
----------
X : {array-like, sparse matrix}, shape (n_samples, n_features)
Training data
y : numpy array, shape (n_samples,)
Target values
coef_init : array, shape (n_features,)
Th... | Fit linear model with Stochastic Gradient Descent. | [
"Fit",
"linear",
"model",
"with",
"Stochastic",
"Gradient",
"Descent",
"."
] | def fit(self, X, y, coef_init=None, intercept_init=None,
sample_weight=None):
"""Fit linear model with Stochastic Gradient Descent.
Parameters
----------
X : {array-like, sparse matrix}, shape (n_samples, n_features)
Training data
y : numpy array, shape ... | [
"def",
"fit",
"(",
"self",
",",
"X",
",",
"y",
",",
"coef_init",
"=",
"None",
",",
"intercept_init",
"=",
"None",
",",
"sample_weight",
"=",
"None",
")",
":",
"return",
"self",
".",
"_fit",
"(",
"X",
",",
"y",
",",
"alpha",
"=",
"self",
".",
"alp... | https://github.com/caiiiac/Machine-Learning-with-Python/blob/1a26c4467da41ca4ebc3d5bd789ea942ef79422f/MachineLearning/venv/lib/python3.5/site-packages/sklearn/linear_model/stochastic_gradient.py#L944-L973 | |
microsoft/ptvsd | 99c8513921021d2cc7cd82e132b65c644c256768 | src/ptvsd/_vendored/pydevd/stubs/_django_manager_body.py | python | _update | (self, *args, **kwargs) | A version of update that accepts field objects instead of field names.
Used primarily for model saving and not intended for use by general
code (it requires too much poking around at model internals to be
useful at that level). | A version of update that accepts field objects instead of field names.
Used primarily for model saving and not intended for use by general
code (it requires too much poking around at model internals to be
useful at that level). | [
"A",
"version",
"of",
"update",
"that",
"accepts",
"field",
"objects",
"instead",
"of",
"field",
"names",
".",
"Used",
"primarily",
"for",
"model",
"saving",
"and",
"not",
"intended",
"for",
"use",
"by",
"general",
"code",
"(",
"it",
"requires",
"too",
"mu... | def _update(self, *args, **kwargs):
"""
A version of update that accepts field objects instead of field names.
Used primarily for model saving and not intended for use by general
code (it requires too much poking around at model internals to be
useful at that level).
""" | [
"def",
"_update",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":"
] | https://github.com/microsoft/ptvsd/blob/99c8513921021d2cc7cd82e132b65c644c256768/src/ptvsd/_vendored/pydevd/stubs/_django_manager_body.py#L68-L74 | ||
Source-Python-Dev-Team/Source.Python | d0ffd8ccbd1e9923c9bc44936f20613c1c76b7fb | addons/source-python/Python3/email/message.py | python | Message.keys | (self) | return [k for k, v in self._headers] | Return a list of all the message's header field names.
These will be sorted in the order they appeared in the original
message, or were added to the message, and may contain duplicates.
Any fields deleted and re-inserted are always appended to the header
list. | Return a list of all the message's header field names. | [
"Return",
"a",
"list",
"of",
"all",
"the",
"message",
"s",
"header",
"field",
"names",
"."
] | def keys(self):
"""Return a list of all the message's header field names.
These will be sorted in the order they appeared in the original
message, or were added to the message, and may contain duplicates.
Any fields deleted and re-inserted are always appended to the header
list.... | [
"def",
"keys",
"(",
"self",
")",
":",
"return",
"[",
"k",
"for",
"k",
",",
"v",
"in",
"self",
".",
"_headers",
"]"
] | https://github.com/Source-Python-Dev-Team/Source.Python/blob/d0ffd8ccbd1e9923c9bc44936f20613c1c76b7fb/addons/source-python/Python3/email/message.py#L430-L438 | |
holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/matplotlib-3.0.3-py3.7-macosx-10.9-x86_64.egg/matplotlib/ticker.py | python | FixedLocator.set_params | (self, nbins=None) | Set parameters within this locator. | Set parameters within this locator. | [
"Set",
"parameters",
"within",
"this",
"locator",
"."
] | def set_params(self, nbins=None):
"""Set parameters within this locator."""
if nbins is not None:
self.nbins = nbins | [
"def",
"set_params",
"(",
"self",
",",
"nbins",
"=",
"None",
")",
":",
"if",
"nbins",
"is",
"not",
"None",
":",
"self",
".",
"nbins",
"=",
"nbins"
] | https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/matplotlib-3.0.3-py3.7-macosx-10.9-x86_64.egg/matplotlib/ticker.py#L1542-L1545 | ||
general03/flask-autoindex | 424246242c9f40aeb9ac2c8c63f4d2234024256e | .eggs/Werkzeug-1.0.1-py3.7.egg/werkzeug/wrappers/base_response.py | python | BaseResponse.get_app_iter | (self, environ) | return ClosingIterator(iterable, self.close) | Returns the application iterator for the given environ. Depending
on the request method and the current status code the return value
might be an empty response rather than the one from the response.
If the request method is `HEAD` or the status code is in a range
where the HTTP specifi... | Returns the application iterator for the given environ. Depending
on the request method and the current status code the return value
might be an empty response rather than the one from the response. | [
"Returns",
"the",
"application",
"iterator",
"for",
"the",
"given",
"environ",
".",
"Depending",
"on",
"the",
"request",
"method",
"and",
"the",
"current",
"status",
"code",
"the",
"return",
"value",
"might",
"be",
"an",
"empty",
"response",
"rather",
"than",
... | def get_app_iter(self, environ):
"""Returns the application iterator for the given environ. Depending
on the request method and the current status code the return value
might be an empty response rather than the one from the response.
If the request method is `HEAD` or the status code ... | [
"def",
"get_app_iter",
"(",
"self",
",",
"environ",
")",
":",
"status",
"=",
"self",
".",
"status_code",
"if",
"(",
"environ",
"[",
"\"REQUEST_METHOD\"",
"]",
"==",
"\"HEAD\"",
"or",
"100",
"<=",
"status",
"<",
"200",
"or",
"status",
"in",
"(",
"204",
... | https://github.com/general03/flask-autoindex/blob/424246242c9f40aeb9ac2c8c63f4d2234024256e/.eggs/Werkzeug-1.0.1-py3.7.egg/werkzeug/wrappers/base_response.py#L644-L671 | |
Liusifei/UVC | 36bc6b2c99366a6d1a6033229d395f3c88ff656b | libs/vis_utils.py | python | compute_color | (u, v) | return img | compute optical flow color map
:param u: optical flow horizontal map
:param v: optical flow vertical map
:return: optical flow in color code | compute optical flow color map
:param u: optical flow horizontal map
:param v: optical flow vertical map
:return: optical flow in color code | [
"compute",
"optical",
"flow",
"color",
"map",
":",
"param",
"u",
":",
"optical",
"flow",
"horizontal",
"map",
":",
"param",
"v",
":",
"optical",
"flow",
"vertical",
"map",
":",
"return",
":",
"optical",
"flow",
"in",
"color",
"code"
] | def compute_color(u, v):
"""
compute optical flow color map
:param u: optical flow horizontal map
:param v: optical flow vertical map
:return: optical flow in color code
"""
[h, w] = u.shape
img = np.zeros([h, w, 3])
nanIdx = np.isnan(u) | np.isnan(v)
u[nanIdx] = 0
v[nanIdx] ... | [
"def",
"compute_color",
"(",
"u",
",",
"v",
")",
":",
"[",
"h",
",",
"w",
"]",
"=",
"u",
".",
"shape",
"img",
"=",
"np",
".",
"zeros",
"(",
"[",
"h",
",",
"w",
",",
"3",
"]",
")",
"nanIdx",
"=",
"np",
".",
"isnan",
"(",
"u",
")",
"|",
"... | https://github.com/Liusifei/UVC/blob/36bc6b2c99366a6d1a6033229d395f3c88ff656b/libs/vis_utils.py#L66-L107 | |
mikew/ss-plex.bundle | 031566c06205e08a8cb15c57a0c143fba5270493 | Contents/Libraries/Shared/ss/mechanize/_opener.py | python | OpenerDirector.retrieve | (self, fullurl, filename=None, reporthook=None, data=None,
timeout=_sockettimeout._GLOBAL_DEFAULT_TIMEOUT,
open=open_file) | return result | Returns (filename, headers).
For remote objects, the default filename will refer to a temporary
file. Temporary files are removed when the OpenerDirector.close()
method is called.
For file: URLs, at present the returned filename is None. This may
change in future.
If... | Returns (filename, headers). | [
"Returns",
"(",
"filename",
"headers",
")",
"."
] | def retrieve(self, fullurl, filename=None, reporthook=None, data=None,
timeout=_sockettimeout._GLOBAL_DEFAULT_TIMEOUT,
open=open_file):
"""Returns (filename, headers).
For remote objects, the default filename will refer to a temporary
file. Temporary files are... | [
"def",
"retrieve",
"(",
"self",
",",
"fullurl",
",",
"filename",
"=",
"None",
",",
"reporthook",
"=",
"None",
",",
"data",
"=",
"None",
",",
"timeout",
"=",
"_sockettimeout",
".",
"_GLOBAL_DEFAULT_TIMEOUT",
",",
"open",
"=",
"open_file",
")",
":",
"req",
... | https://github.com/mikew/ss-plex.bundle/blob/031566c06205e08a8cb15c57a0c143fba5270493/Contents/Libraries/Shared/ss/mechanize/_opener.py#L230-L298 | |
Tautulli/Tautulli | 2410eb33805aaac4bd1c5dad0f71e4f15afaf742 | lib/gntp/core.py | python | GNTPRegister.validate | (self) | Validate required headers and validate notification headers | Validate required headers and validate notification headers | [
"Validate",
"required",
"headers",
"and",
"validate",
"notification",
"headers"
] | def validate(self):
'''Validate required headers and validate notification headers'''
for header in self._requiredHeaders:
if not self.headers.get(header, False):
raise errors.ParseError('Missing Registration Header: ' + header)
for notice in self.notifications:
for header in self._requiredNotificationH... | [
"def",
"validate",
"(",
"self",
")",
":",
"for",
"header",
"in",
"self",
".",
"_requiredHeaders",
":",
"if",
"not",
"self",
".",
"headers",
".",
"get",
"(",
"header",
",",
"False",
")",
":",
"raise",
"errors",
".",
"ParseError",
"(",
"'Missing Registrati... | https://github.com/Tautulli/Tautulli/blob/2410eb33805aaac4bd1c5dad0f71e4f15afaf742/lib/gntp/core.py#L307-L315 | ||
delira-dev/delira | cd3ad277d6fad5f837d6c5147e6eee2ada648596 | delira/data_loading/augmenter.py | python | Augmenter.__iter__ | (self) | Makes the Augmenter iterable by generators
Returns
-------
Generator
a generator function yielding the arguments | Makes the Augmenter iterable by generators
Returns
-------
Generator
a generator function yielding the arguments | [
"Makes",
"the",
"Augmenter",
"iterable",
"by",
"generators",
"Returns",
"-------",
"Generator",
"a",
"generator",
"function",
"yielding",
"the",
"arguments"
] | def __iter__(self):
"""
Makes the Augmenter iterable by generators
Returns
-------
Generator
a generator function yielding the arguments
"""
yield from self._augmenter | [
"def",
"__iter__",
"(",
"self",
")",
":",
"yield",
"from",
"self",
".",
"_augmenter"
] | https://github.com/delira-dev/delira/blob/cd3ad277d6fad5f837d6c5147e6eee2ada648596/delira/data_loading/augmenter.py#L503-L511 | ||
ajinabraham/OWASP-Xenotix-XSS-Exploit-Framework | cb692f527e4e819b6c228187c5702d990a180043 | external/Scripting Engine/packages/IronPython.StdLib.2.7.4/content/Lib/mhlib.py | python | Folder.removefromallsequences | (self, list) | Remove one or more messages from all sequences (including last)
-- but not from 'cur'!!! | Remove one or more messages from all sequences (including last)
-- but not from 'cur'!!! | [
"Remove",
"one",
"or",
"more",
"messages",
"from",
"all",
"sequences",
"(",
"including",
"last",
")",
"--",
"but",
"not",
"from",
"cur",
"!!!"
] | def removefromallsequences(self, list):
"""Remove one or more messages from all sequences (including last)
-- but not from 'cur'!!!"""
if hasattr(self, 'last') and self.last in list:
del self.last
sequences = self.getsequences()
changed = 0
for name, seq in se... | [
"def",
"removefromallsequences",
"(",
"self",
",",
"list",
")",
":",
"if",
"hasattr",
"(",
"self",
",",
"'last'",
")",
"and",
"self",
".",
"last",
"in",
"list",
":",
"del",
"self",
".",
"last",
"sequences",
"=",
"self",
".",
"getsequences",
"(",
")",
... | https://github.com/ajinabraham/OWASP-Xenotix-XSS-Exploit-Framework/blob/cb692f527e4e819b6c228187c5702d990a180043/external/Scripting Engine/packages/IronPython.StdLib.2.7.4/content/Lib/mhlib.py#L630-L647 | ||
XX-net/XX-Net | a9898cfcf0084195fb7e69b6bc834e59aecdf14f | python3.8.2/Lib/_pyio.py | python | IOBase.writelines | (self, lines) | Write a list of lines to the stream.
Line separators are not added, so it is usual for each of the lines
provided to have a line separator at the end. | Write a list of lines to the stream. | [
"Write",
"a",
"list",
"of",
"lines",
"to",
"the",
"stream",
"."
] | def writelines(self, lines):
"""Write a list of lines to the stream.
Line separators are not added, so it is usual for each of the lines
provided to have a line separator at the end.
"""
self._checkClosed()
for line in lines:
self.write(line) | [
"def",
"writelines",
"(",
"self",
",",
"lines",
")",
":",
"self",
".",
"_checkClosed",
"(",
")",
"for",
"line",
"in",
"lines",
":",
"self",
".",
"write",
"(",
"line",
")"
] | https://github.com/XX-net/XX-Net/blob/a9898cfcf0084195fb7e69b6bc834e59aecdf14f/python3.8.2/Lib/_pyio.py#L593-L601 | ||
selinon/selinon | 3613153566d454022a138639f0375c63f490c4cb | selinon/selective_run_function.py | python | SelectiveRunFunction.from_dict | (cls, dict_) | return cls(name, import_path) | Instantiate selective run function based on definition in a dictionary.
:return: selective run function that will be used based on configuration
:rtype: SelectiveRunFunction | Instantiate selective run function based on definition in a dictionary. | [
"Instantiate",
"selective",
"run",
"function",
"based",
"on",
"definition",
"in",
"a",
"dictionary",
"."
] | def from_dict(cls, dict_):
"""Instantiate selective run function based on definition in a dictionary.
:return: selective run function that will be used based on configuration
:rtype: SelectiveRunFunction
"""
if not dict_:
return cls.get_default()
unknown_con... | [
"def",
"from_dict",
"(",
"cls",
",",
"dict_",
")",
":",
"if",
"not",
"dict_",
":",
"return",
"cls",
".",
"get_default",
"(",
")",
"unknown_conf",
"=",
"check_conf_keys",
"(",
"dict_",
",",
"known_conf_opts",
"=",
"(",
"'name'",
",",
"'import'",
")",
")",... | https://github.com/selinon/selinon/blob/3613153566d454022a138639f0375c63f490c4cb/selinon/selective_run_function.py#L54-L71 | |
lifting-bits/mcsema | b7492e2ffb9f2fa64b5ef269753ba1d134bdf2f2 | tools/mcsema_disass/ida7/util.py | python | get_destructor_segment | () | Returns the start address of the global destructor section | Returns the start address of the global destructor section | [
"Returns",
"the",
"start",
"address",
"of",
"the",
"global",
"destructor",
"section"
] | def get_destructor_segment():
"""Returns the start address of the global destructor section"""
for seg_ea in idautils.Segments():
seg_name = idc.get_segm_name(seg_ea).lower()
if seg_name in [".fini_array", ".dtor"]:
return seg_ea; | [
"def",
"get_destructor_segment",
"(",
")",
":",
"for",
"seg_ea",
"in",
"idautils",
".",
"Segments",
"(",
")",
":",
"seg_name",
"=",
"idc",
".",
"get_segm_name",
"(",
"seg_ea",
")",
".",
"lower",
"(",
")",
"if",
"seg_name",
"in",
"[",
"\".fini_array\"",
"... | https://github.com/lifting-bits/mcsema/blob/b7492e2ffb9f2fa64b5ef269753ba1d134bdf2f2/tools/mcsema_disass/ida7/util.py#L404-L409 | ||
armancohan/long-summarization | 1328d4f37b3a3a460f455e93e84ed4ddcd10dab1 | model.py | python | SummarizationModel._add_seq2seq | (self) | Add the whole sequence-to-sequence model to the graph. | Add the whole sequence-to-sequence model to the graph. | [
"Add",
"the",
"whole",
"sequence",
"-",
"to",
"-",
"sequence",
"model",
"to",
"the",
"graph",
"."
] | def _add_seq2seq(self):
"""Add the whole sequence-to-sequence model to the graph."""
hps = self._hps
vsize = self._vocab.size() # size of the vocabulary
with tf.variable_scope('seq2seq'):
# Some initializers
self.rand_unif_init = tf.random_uniform_initializer(-hps.rand_unif_init_mag, hp... | [
"def",
"_add_seq2seq",
"(",
"self",
")",
":",
"hps",
"=",
"self",
".",
"_hps",
"vsize",
"=",
"self",
".",
"_vocab",
".",
"size",
"(",
")",
"# size of the vocabulary",
"with",
"tf",
".",
"variable_scope",
"(",
"'seq2seq'",
")",
":",
"# Some initializers",
"... | https://github.com/armancohan/long-summarization/blob/1328d4f37b3a3a460f455e93e84ed4ddcd10dab1/model.py#L243-L519 | ||
sahana/eden | 1696fa50e90ce967df69f66b571af45356cc18da | static/scripts/tools/pep8.py | python | Checker.check_logical | (self) | Build a line from tokens and run all logical checks on it. | Build a line from tokens and run all logical checks on it. | [
"Build",
"a",
"line",
"from",
"tokens",
"and",
"run",
"all",
"logical",
"checks",
"on",
"it",
"."
] | def check_logical(self):
"""
Build a line from tokens and run all logical checks on it.
"""
options.counters['logical lines'] = \
options.counters.get('logical lines', 0) + 1
self.build_tokens_line()
first_line = self.lines[self.mapping[0][1][2][0] - 1]
... | [
"def",
"check_logical",
"(",
"self",
")",
":",
"options",
".",
"counters",
"[",
"'logical lines'",
"]",
"=",
"options",
".",
"counters",
".",
"get",
"(",
"'logical lines'",
",",
"0",
")",
"+",
"1",
"self",
".",
"build_tokens_line",
"(",
")",
"first_line",
... | https://github.com/sahana/eden/blob/1696fa50e90ce967df69f66b571af45356cc18da/static/scripts/tools/pep8.py#L577-L606 | ||
ihaveamac/ninfs | dee583ba3205c4e050e0b193a85a4177eb334159 | ninfs/mount/ncch.py | python | NCCHContainerMount.init | (self, path, _setup_romfs=True) | [] | def init(self, path, _setup_romfs=True):
decrypted_filename = '/decrypted.' + ('cxi' if self.reader.flags.executable else 'cfa')
self.files[decrypted_filename] = NCCHSection.FullDecrypted
self.files['/ncch.bin'] = NCCHSection.Header
if NCCHSection.ExtendedHeader in self.reader.sections... | [
"def",
"init",
"(",
"self",
",",
"path",
",",
"_setup_romfs",
"=",
"True",
")",
":",
"decrypted_filename",
"=",
"'/decrypted.'",
"+",
"(",
"'cxi'",
"if",
"self",
".",
"reader",
".",
"flags",
".",
"executable",
"else",
"'cfa'",
")",
"self",
".",
"files",
... | https://github.com/ihaveamac/ninfs/blob/dee583ba3205c4e050e0b193a85a4177eb334159/ninfs/mount/ncch.py#L52-L74 | ||||
securesystemslab/zippy | ff0e84ac99442c2c55fe1d285332cfd4e185e089 | zippy/lib-python/3/fileinput.py | python | isfirstline | () | return _state.isfirstline() | Returns true the line just read is the first line of its file,
otherwise returns false. | Returns true the line just read is the first line of its file,
otherwise returns false. | [
"Returns",
"true",
"the",
"line",
"just",
"read",
"is",
"the",
"first",
"line",
"of",
"its",
"file",
"otherwise",
"returns",
"false",
"."
] | def isfirstline():
"""
Returns true the line just read is the first line of its file,
otherwise returns false.
"""
if not _state:
raise RuntimeError("no active input()")
return _state.isfirstline() | [
"def",
"isfirstline",
"(",
")",
":",
"if",
"not",
"_state",
":",
"raise",
"RuntimeError",
"(",
"\"no active input()\"",
")",
"return",
"_state",
".",
"isfirstline",
"(",
")"
] | https://github.com/securesystemslab/zippy/blob/ff0e84ac99442c2c55fe1d285332cfd4e185e089/zippy/lib-python/3/fileinput.py#L167-L174 | |
svip-lab/impersonator | b041dd415157c1e7f5b46e579a1ad4dffabb2e66 | thirdparty/his_evaluators/his_evaluators/evaluators/motion_imitation.py | python | MotionImitationRunnerProcessor.post_format_metric_file_list | (self, si_preds_files, si_ref_files, ci_preds_files, ci_ref_files) | return si_preds_ref_files, ci_preds_ref_files | make [(si_pred, si_ref), ...], and [(ci_pred, ci_ref), ...]
Args:
si_preds_files:
si_ref_files:
ci_preds_files:
ci_ref_files:
Returns:
si_preds_ref_files:
ci_preds_ref_files: | make [(si_pred, si_ref), ...], and [(ci_pred, ci_ref), ...]
Args:
si_preds_files:
si_ref_files:
ci_preds_files:
ci_ref_files: | [
"make",
"[",
"(",
"si_pred",
"si_ref",
")",
"...",
"]",
"and",
"[",
"(",
"ci_pred",
"ci_ref",
")",
"...",
"]",
"Args",
":",
"si_preds_files",
":",
"si_ref_files",
":",
"ci_preds_files",
":",
"ci_ref_files",
":"
] | def post_format_metric_file_list(self, si_preds_files, si_ref_files, ci_preds_files, ci_ref_files):
"""
make [(si_pred, si_ref), ...], and [(ci_pred, ci_ref), ...]
Args:
si_preds_files:
si_ref_files:
ci_preds_files:
ci_ref_files:
Retur... | [
"def",
"post_format_metric_file_list",
"(",
"self",
",",
"si_preds_files",
",",
"si_ref_files",
",",
"ci_preds_files",
",",
"ci_ref_files",
")",
":",
"si_preds_ref_files",
"=",
"list",
"(",
"zip",
"(",
"si_preds_files",
",",
"si_ref_files",
")",
")",
"ci_preds_ref_f... | https://github.com/svip-lab/impersonator/blob/b041dd415157c1e7f5b46e579a1ad4dffabb2e66/thirdparty/his_evaluators/his_evaluators/evaluators/motion_imitation.py#L143-L159 | |
openai/multiagent-competition | b2e081a192429913b7d21a89525901d59c85e7f3 | gym-compete/gym_compete/new_envs/agents/agent.py | python | Agent.set_env | (self, env) | [] | def set_env(self, env):
self.env = env
self._env_init = True
self._set_body()
self._set_joint()
if self.n_agents > 1:
self._set_other_joint()
self.set_observation_space()
self.set_action_space() | [
"def",
"set_env",
"(",
"self",
",",
"env",
")",
":",
"self",
".",
"env",
"=",
"env",
"self",
".",
"_env_init",
"=",
"True",
"self",
".",
"_set_body",
"(",
")",
"self",
".",
"_set_joint",
"(",
")",
"if",
"self",
".",
"n_agents",
">",
"1",
":",
"se... | https://github.com/openai/multiagent-competition/blob/b2e081a192429913b7d21a89525901d59c85e7f3/gym-compete/gym_compete/new_envs/agents/agent.py#L33-L41 | ||||
BEEmod/BEE2.4 | 02767f3cf476581789425ab308ca1bea978f6a74 | src/app/sound.py | python | PygletSound.fx | (self, sound: str) | Play a sound effect. | Play a sound effect. | [
"Play",
"a",
"sound",
"effect",
"."
] | async def fx(self, sound: str) -> None:
"""Play a sound effect."""
global sounds
if play_sound:
try:
snd = self.sources[sound]
except KeyError:
# We were called before the BG thread loaded em, load it now.
LOGGER.warning('So... | [
"async",
"def",
"fx",
"(",
"self",
",",
"sound",
":",
"str",
")",
"->",
"None",
":",
"global",
"sounds",
"if",
"play_sound",
":",
"try",
":",
"snd",
"=",
"self",
".",
"sources",
"[",
"sound",
"]",
"except",
"KeyError",
":",
"# We were called before the B... | https://github.com/BEEmod/BEE2.4/blob/02767f3cf476581789425ab308ca1bea978f6a74/src/app/sound.py#L127-L144 | ||
zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_hxb2/lib/python3.5/site-packages/django/http/multipartparser.py | python | ChunkIter.__next__ | (self) | [] | def __next__(self):
try:
data = self.flo.read(self.chunk_size)
except InputStreamExhausted:
raise StopIteration()
if data:
return data
else:
raise StopIteration() | [
"def",
"__next__",
"(",
"self",
")",
":",
"try",
":",
"data",
"=",
"self",
".",
"flo",
".",
"read",
"(",
"self",
".",
"chunk_size",
")",
"except",
"InputStreamExhausted",
":",
"raise",
"StopIteration",
"(",
")",
"if",
"data",
":",
"return",
"data",
"el... | https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_hxb2/lib/python3.5/site-packages/django/http/multipartparser.py#L447-L455 | ||||
monero-ecosystem/monero-python | 9c3c841624f635a4fd154f1f278206af8a6d2c1d | monero/wallet.py | python | Wallet.address | (self) | return self.accounts[0].address() | Returns wallet's master address.
:rtype: :class:`Address <monero.address.Address>` | Returns wallet's master address. | [
"Returns",
"wallet",
"s",
"master",
"address",
"."
] | def address(self):
"""
Returns wallet's master address.
:rtype: :class:`Address <monero.address.Address>`
"""
return self.accounts[0].address() | [
"def",
"address",
"(",
"self",
")",
":",
"return",
"self",
".",
"accounts",
"[",
"0",
"]",
".",
"address",
"(",
")"
] | https://github.com/monero-ecosystem/monero-python/blob/9c3c841624f635a4fd154f1f278206af8a6d2c1d/monero/wallet.py#L180-L186 | |
Buroni/booksoup | da4470654a820e6450fdb6759d6d625c5fd3b5eb | booksoup/BookSoup.py | python | BookSoup.load_conversation | (self, search_name, interval="month") | return None | [] | def load_conversation(self, search_name, interval="month"):
# If search_name is an integer, simply get the HTML file whose name is that integer.
if isinstance(search_name, int):
contact = Conversation(os.path.join(self.__path, "messages", str(search_name)+".html"), interval=interval)
... | [
"def",
"load_conversation",
"(",
"self",
",",
"search_name",
",",
"interval",
"=",
"\"month\"",
")",
":",
"# If search_name is an integer, simply get the HTML file whose name is that integer.",
"if",
"isinstance",
"(",
"search_name",
",",
"int",
")",
":",
"contact",
"=",
... | https://github.com/Buroni/booksoup/blob/da4470654a820e6450fdb6759d6d625c5fd3b5eb/booksoup/BookSoup.py#L33-L51 | |||
returntocorp/bento | 05b365da71b65170d41fe92a702480ab76c1d17c | bento/git.py | python | user_email | (path: Optional[Path] = None) | [] | def user_email(path: Optional[Path] = None) -> Optional[str]:
r = repo(path)
if r is None:
return None
try:
return r.config_reader().get_value("user", "email").strip("\"'")
except configparser.NoSectionError:
return None
except configparser.NoOptionError:
return None | [
"def",
"user_email",
"(",
"path",
":",
"Optional",
"[",
"Path",
"]",
"=",
"None",
")",
"->",
"Optional",
"[",
"str",
"]",
":",
"r",
"=",
"repo",
"(",
"path",
")",
"if",
"r",
"is",
"None",
":",
"return",
"None",
"try",
":",
"return",
"r",
".",
"... | https://github.com/returntocorp/bento/blob/05b365da71b65170d41fe92a702480ab76c1d17c/bento/git.py#L25-L34 | ||||
nosmokingbandit/watcher | dadacd21a5790ee609058a98a17fcc8954d24439 | lib/sqlalchemy/sql/selectable.py | python | Select.self_group | (self, against=None) | return FromGrouping(self) | return a 'grouping' construct as per the ClauseElement
specification.
This produces an element that can be embedded in an expression. Note
that this method is called automatically as needed when constructing
expressions and should not require explicit use. | return a 'grouping' construct as per the ClauseElement
specification. | [
"return",
"a",
"grouping",
"construct",
"as",
"per",
"the",
"ClauseElement",
"specification",
"."
] | def self_group(self, against=None):
"""return a 'grouping' construct as per the ClauseElement
specification.
This produces an element that can be embedded in an expression. Note
that this method is called automatically as needed when constructing
expressions and should not requi... | [
"def",
"self_group",
"(",
"self",
",",
"against",
"=",
"None",
")",
":",
"if",
"isinstance",
"(",
"against",
",",
"CompoundSelect",
")",
"and",
"not",
"self",
".",
"_needs_parens_for_grouping",
"(",
")",
":",
"return",
"self",
"return",
"FromGrouping",
"(",
... | https://github.com/nosmokingbandit/watcher/blob/dadacd21a5790ee609058a98a17fcc8954d24439/lib/sqlalchemy/sql/selectable.py#L3485-L3497 | |
omz/PythonistaAppTemplate | f560f93f8876d82a21d108977f90583df08d55af | PythonistaAppTemplate/PythonistaKit.framework/pylib_ext/matplotlib/colors.py | python | LinearSegmentedColormap.__init__ | (self, name, segmentdata, N=256, gamma=1.0) | Create color map from linear mapping segments
segmentdata argument is a dictionary with a red, green and blue
entries. Each entry should be a list of *x*, *y0*, *y1* tuples,
forming rows in a table. Entries for alpha are optional.
Example: suppose you want red to increase from 0 to 1 o... | Create color map from linear mapping segments | [
"Create",
"color",
"map",
"from",
"linear",
"mapping",
"segments"
] | def __init__(self, name, segmentdata, N=256, gamma=1.0):
"""Create color map from linear mapping segments
segmentdata argument is a dictionary with a red, green and blue
entries. Each entry should be a list of *x*, *y0*, *y1* tuples,
forming rows in a table. Entries for alpha are option... | [
"def",
"__init__",
"(",
"self",
",",
"name",
",",
"segmentdata",
",",
"N",
"=",
"256",
",",
"gamma",
"=",
"1.0",
")",
":",
"# True only if all colors in map are identical; needed for contouring.",
"self",
".",
"monochrome",
"=",
"False",
"Colormap",
".",
"__init__... | https://github.com/omz/PythonistaAppTemplate/blob/f560f93f8876d82a21d108977f90583df08d55af/PythonistaAppTemplate/PythonistaKit.framework/pylib_ext/matplotlib/colors.py#L669-L720 | ||
vicariousinc/science_rcn | 821d8ce4c7d3a7bf0827fc00a5a405a9f87cc67e | science_rcn/preproc.py | python | get_gabor_filters | (size=21, filter_scale=4., num_orients=16, weights=False) | return filts | Get Gabor filter bank. See Preproc for parameters and returns. | Get Gabor filter bank. See Preproc for parameters and returns. | [
"Get",
"Gabor",
"filter",
"bank",
".",
"See",
"Preproc",
"for",
"parameters",
"and",
"returns",
"."
] | def get_gabor_filters(size=21, filter_scale=4., num_orients=16, weights=False):
"""Get Gabor filter bank. See Preproc for parameters and returns."""
def _get_sparse_gaussian():
"""Sparse Gaussian."""
size = 2 * np.ceil(np.sqrt(2.) * filter_scale) + 1
alt = np.zeros((int(size), int(size))... | [
"def",
"get_gabor_filters",
"(",
"size",
"=",
"21",
",",
"filter_scale",
"=",
"4.",
",",
"num_orients",
"=",
"16",
",",
"weights",
"=",
"False",
")",
":",
"def",
"_get_sparse_gaussian",
"(",
")",
":",
"\"\"\"Sparse Gaussian.\"\"\"",
"size",
"=",
"2",
"*",
... | https://github.com/vicariousinc/science_rcn/blob/821d8ce4c7d3a7bf0827fc00a5a405a9f87cc67e/science_rcn/preproc.py#L97-L120 | |
gwpy/gwpy | 82becd78d166a32985cb657a54d0d39f6a207739 | gwpy/io/datafind.py | python | _error_missing_channels | (required, found, gpstime, allow_tape) | Raise an exception if required channels are not found | Raise an exception if required channels are not found | [
"Raise",
"an",
"exception",
"if",
"required",
"channels",
"are",
"not",
"found"
] | def _error_missing_channels(required, found, gpstime, allow_tape):
"""Raise an exception if required channels are not found
"""
missing = set(required) - set(found)
if not missing: # success
return
# failure
msg = "Cannot locate the following channel(s) in any known frametype"
if ... | [
"def",
"_error_missing_channels",
"(",
"required",
",",
"found",
",",
"gpstime",
",",
"allow_tape",
")",
":",
"missing",
"=",
"set",
"(",
"required",
")",
"-",
"set",
"(",
"found",
")",
"if",
"not",
"missing",
":",
"# success",
"return",
"# failure",
"msg"... | https://github.com/gwpy/gwpy/blob/82becd78d166a32985cb657a54d0d39f6a207739/gwpy/io/datafind.py#L394-L410 | ||
plotly/plotly.py | cfad7862594b35965c0e000813bd7805e8494a5b | packages/python/plotly/plotly/graph_objs/layout/_xaxis.py | python | XAxis.tickformatstopdefaults | (self) | return self["tickformatstopdefaults"] | When used in a template (as
layout.template.layout.xaxis.tickformatstopdefaults), sets the
default property values to use for elements of
layout.xaxis.tickformatstops
The 'tickformatstopdefaults' property is an instance of Tickformatstop
that may be specified as:
-... | When used in a template (as
layout.template.layout.xaxis.tickformatstopdefaults), sets the
default property values to use for elements of
layout.xaxis.tickformatstops
The 'tickformatstopdefaults' property is an instance of Tickformatstop
that may be specified as:
-... | [
"When",
"used",
"in",
"a",
"template",
"(",
"as",
"layout",
".",
"template",
".",
"layout",
".",
"xaxis",
".",
"tickformatstopdefaults",
")",
"sets",
"the",
"default",
"property",
"values",
"to",
"use",
"for",
"elements",
"of",
"layout",
".",
"xaxis",
".",... | def tickformatstopdefaults(self):
"""
When used in a template (as
layout.template.layout.xaxis.tickformatstopdefaults), sets the
default property values to use for elements of
layout.xaxis.tickformatstops
The 'tickformatstopdefaults' property is an instance of Tickfo... | [
"def",
"tickformatstopdefaults",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"tickformatstopdefaults\"",
"]"
] | https://github.com/plotly/plotly.py/blob/cfad7862594b35965c0e000813bd7805e8494a5b/packages/python/plotly/plotly/graph_objs/layout/_xaxis.py#L1927-L1946 | |
nlloyd/SubliminalCollaborator | 5c619e17ddbe8acb9eea8996ec038169ddcd50a1 | libs/twisted/spread/pb.py | python | Broker.dontNotifyOnDisconnect | (self, notifier) | Remove a callback from list of disconnect callbacks. | Remove a callback from list of disconnect callbacks. | [
"Remove",
"a",
"callback",
"from",
"list",
"of",
"disconnect",
"callbacks",
"."
] | def dontNotifyOnDisconnect(self, notifier):
"""Remove a callback from list of disconnect callbacks."""
try:
self.disconnects.remove(notifier)
except ValueError:
pass | [
"def",
"dontNotifyOnDisconnect",
"(",
"self",
",",
"notifier",
")",
":",
"try",
":",
"self",
".",
"disconnects",
".",
"remove",
"(",
"notifier",
")",
"except",
"ValueError",
":",
"pass"
] | https://github.com/nlloyd/SubliminalCollaborator/blob/5c619e17ddbe8acb9eea8996ec038169ddcd50a1/libs/twisted/spread/pb.py#L678-L683 | ||
mozillazg/pypy | 2ff5cd960c075c991389f842c6d59e71cf0cb7d0 | pypy/module/cpyext/stubs.py | python | PySys_ResetWarnOptions | (space) | Reset sys.warnoptions to an empty list. | Reset sys.warnoptions to an empty list. | [
"Reset",
"sys",
".",
"warnoptions",
"to",
"an",
"empty",
"list",
"."
] | def PySys_ResetWarnOptions(space):
"""Reset sys.warnoptions to an empty list."""
raise NotImplementedError | [
"def",
"PySys_ResetWarnOptions",
"(",
"space",
")",
":",
"raise",
"NotImplementedError"
] | https://github.com/mozillazg/pypy/blob/2ff5cd960c075c991389f842c6d59e71cf0cb7d0/pypy/module/cpyext/stubs.py#L1324-L1326 | ||
AppScale/gts | 46f909cf5dc5ba81faf9d81dc9af598dcf8a82a9 | AppServer/lib/django-1.2/django/core/serializers/base.py | python | Serializer.handle_fk_field | (self, obj, field) | Called to handle a ForeignKey field. | Called to handle a ForeignKey field. | [
"Called",
"to",
"handle",
"a",
"ForeignKey",
"field",
"."
] | def handle_fk_field(self, obj, field):
"""
Called to handle a ForeignKey field.
"""
raise NotImplementedError | [
"def",
"handle_fk_field",
"(",
"self",
",",
"obj",
",",
"field",
")",
":",
"raise",
"NotImplementedError"
] | https://github.com/AppScale/gts/blob/46f909cf5dc5ba81faf9d81dc9af598dcf8a82a9/AppServer/lib/django-1.2/django/core/serializers/base.py#L93-L97 | ||
lipiji/hierarchical-encoder-decoder | fa4ab3ddfbbb55ffebafedaa17b1b22472fc0936 | utils_pg.py | python | use_gpu | (gpu_id) | [] | def use_gpu(gpu_id):
if gpu_id > -1:
theano.sandbox.cuda.use("gpu" + str(gpu_id)) | [
"def",
"use_gpu",
"(",
"gpu_id",
")",
":",
"if",
"gpu_id",
">",
"-",
"1",
":",
"theano",
".",
"sandbox",
".",
"cuda",
".",
"use",
"(",
"\"gpu\"",
"+",
"str",
"(",
"gpu_id",
")",
")"
] | https://github.com/lipiji/hierarchical-encoder-decoder/blob/fa4ab3ddfbbb55ffebafedaa17b1b22472fc0936/utils_pg.py#L9-L11 | ||||
F-Secure/mittn | 7808552dc85a7998895038fdb2fa5c5bbed90c3e | mittn/httpfuzzer/steps.py | python | step_impl | (context) | Go through responses and store any that contain a string from
user-supplied list of strings into the database | Go through responses and store any that contain a string from
user-supplied list of strings into the database | [
"Go",
"through",
"responses",
"and",
"store",
"any",
"that",
"contain",
"a",
"string",
"from",
"user",
"-",
"supplied",
"list",
"of",
"strings",
"into",
"the",
"database"
] | def step_impl(context):
"""Go through responses and store any that contain a string from
user-supplied list of strings into the database
"""
# Create a regex from the error response list
error_list = []
for row in context.table:
error_list.append(row['string'])
error_list_regex = "(... | [
"def",
"step_impl",
"(",
"context",
")",
":",
"# Create a regex from the error response list",
"error_list",
"=",
"[",
"]",
"for",
"row",
"in",
"context",
".",
"table",
":",
"error_list",
".",
"append",
"(",
"row",
"[",
"'string'",
"]",
")",
"error_list_regex",
... | https://github.com/F-Secure/mittn/blob/7808552dc85a7998895038fdb2fa5c5bbed90c3e/mittn/httpfuzzer/steps.py#L209-L231 | ||
quantopian/zipline | 014f1fc339dc8b7671d29be2d85ce57d3daec343 | zipline/utils/memoize.py | python | weak_lru_cache | (maxsize=100) | return desc | Weak least-recently-used cache decorator.
If *maxsize* is set to None, the LRU features are disabled and the cache
can grow without bound.
Arguments to the cached function must be hashable. Any that are weak-
referenceable will be stored by weak reference. Once any of the args have
been garbage c... | Weak least-recently-used cache decorator. | [
"Weak",
"least",
"-",
"recently",
"-",
"used",
"cache",
"decorator",
"."
] | def weak_lru_cache(maxsize=100):
"""Weak least-recently-used cache decorator.
If *maxsize* is set to None, the LRU features are disabled and the cache
can grow without bound.
Arguments to the cached function must be hashable. Any that are weak-
referenceable will be stored by weak reference. Once... | [
"def",
"weak_lru_cache",
"(",
"maxsize",
"=",
"100",
")",
":",
"class",
"desc",
"(",
"lazyval",
")",
":",
"def",
"__get__",
"(",
"self",
",",
"instance",
",",
"owner",
")",
":",
"if",
"instance",
"is",
"None",
":",
"return",
"self",
"try",
":",
"retu... | https://github.com/quantopian/zipline/blob/014f1fc339dc8b7671d29be2d85ce57d3daec343/zipline/utils/memoize.py#L211-L248 | |
inasafe/inasafe | 355eb2ce63f516b9c26af0c86a24f99e53f63f87 | safe/gui/tools/wizard/step_fc25_hazlayer_from_browser.py | python | StepFcHazLayerFromBrowser.get_next_step | (self) | return new_step | Find the proper step when user clicks the Next button.
:returns: The step to be switched to
:rtype: WizardStep instance or None | Find the proper step when user clicks the Next button. | [
"Find",
"the",
"proper",
"step",
"when",
"user",
"clicks",
"the",
"Next",
"button",
"."
] | def get_next_step(self):
"""Find the proper step when user clicks the Next button.
:returns: The step to be switched to
:rtype: WizardStep instance or None
"""
if self.parent.is_selected_layer_keywordless:
# insert keyword creation thread here
self.parent... | [
"def",
"get_next_step",
"(",
"self",
")",
":",
"if",
"self",
".",
"parent",
".",
"is_selected_layer_keywordless",
":",
"# insert keyword creation thread here",
"self",
".",
"parent",
".",
"parent_step",
"=",
"self",
"self",
".",
"parent",
".",
"existing_keywords",
... | https://github.com/inasafe/inasafe/blob/355eb2ce63f516b9c26af0c86a24f99e53f63f87/safe/gui/tools/wizard/step_fc25_hazlayer_from_browser.py#L46-L60 | |
ncbi-nlp/bluebert | ccc828c74e0eed942fd1ececff3638babc38269c | bert/run_classifier.py | python | MrpcProcessor._create_examples | (self, lines, set_type) | return examples | Creates examples for the training and dev sets. | Creates examples for the training and dev sets. | [
"Creates",
"examples",
"for",
"the",
"training",
"and",
"dev",
"sets",
"."
] | def _create_examples(self, lines, set_type):
"""Creates examples for the training and dev sets."""
examples = []
for (i, line) in enumerate(lines):
if i == 0:
continue
guid = "%s-%s" % (set_type, i)
text_a = tokenization.convert_to_unicode(line[3])
text_b = tokenization.conve... | [
"def",
"_create_examples",
"(",
"self",
",",
"lines",
",",
"set_type",
")",
":",
"examples",
"=",
"[",
"]",
"for",
"(",
"i",
",",
"line",
")",
"in",
"enumerate",
"(",
"lines",
")",
":",
"if",
"i",
"==",
"0",
":",
"continue",
"guid",
"=",
"\"%s-%s\"... | https://github.com/ncbi-nlp/bluebert/blob/ccc828c74e0eed942fd1ececff3638babc38269c/bert/run_classifier.py#L317-L332 | |
chribsen/simple-machine-learning-examples | dc94e52a4cebdc8bb959ff88b81ff8cfeca25022 | venv/lib/python2.7/site-packages/scipy/_lib/_util.py | python | _lazywhere | (cond, arrays, f, fillvalue=None, f2=None) | return out | np.where(cond, x, fillvalue) always evaluates x even where cond is False.
This one only evaluates f(arr1[cond], arr2[cond], ...).
For example,
>>> a, b = np.array([1, 2, 3, 4]), np.array([5, 6, 7, 8])
>>> def f(a, b):
return a*b
>>> _lazywhere(a > 2, (a, b), f, np.nan)
array([ nan, nan,... | np.where(cond, x, fillvalue) always evaluates x even where cond is False.
This one only evaluates f(arr1[cond], arr2[cond], ...).
For example,
>>> a, b = np.array([1, 2, 3, 4]), np.array([5, 6, 7, 8])
>>> def f(a, b):
return a*b
>>> _lazywhere(a > 2, (a, b), f, np.nan)
array([ nan, nan,... | [
"np",
".",
"where",
"(",
"cond",
"x",
"fillvalue",
")",
"always",
"evaluates",
"x",
"even",
"where",
"cond",
"is",
"False",
".",
"This",
"one",
"only",
"evaluates",
"f",
"(",
"arr1",
"[",
"cond",
"]",
"arr2",
"[",
"cond",
"]",
"...",
")",
".",
"For... | def _lazywhere(cond, arrays, f, fillvalue=None, f2=None):
"""
np.where(cond, x, fillvalue) always evaluates x even where cond is False.
This one only evaluates f(arr1[cond], arr2[cond], ...).
For example,
>>> a, b = np.array([1, 2, 3, 4]), np.array([5, 6, 7, 8])
>>> def f(a, b):
return a... | [
"def",
"_lazywhere",
"(",
"cond",
",",
"arrays",
",",
"f",
",",
"fillvalue",
"=",
"None",
",",
"f2",
"=",
"None",
")",
":",
"if",
"fillvalue",
"is",
"None",
":",
"if",
"f2",
"is",
"None",
":",
"raise",
"ValueError",
"(",
"\"One of (fillvalue, f2) must be... | https://github.com/chribsen/simple-machine-learning-examples/blob/dc94e52a4cebdc8bb959ff88b81ff8cfeca25022/venv/lib/python2.7/site-packages/scipy/_lib/_util.py#L26-L59 | |
cudamat/cudamat | 21baa0a82f189fae40cab3ab607c11cabfee8899 | cudamat/cudamat.py | python | CUDAMatrix.add_row_vec | (self, vec, target=None) | return target | Add vector vec to every row of the matrix. If a target is provided,
it is used to store the result instead of self. | Add vector vec to every row of the matrix. If a target is provided,
it is used to store the result instead of self. | [
"Add",
"vector",
"vec",
"to",
"every",
"row",
"of",
"the",
"matrix",
".",
"If",
"a",
"target",
"is",
"provided",
"it",
"is",
"used",
"to",
"store",
"the",
"result",
"instead",
"of",
"self",
"."
] | def add_row_vec(self, vec, target=None):
"""
Add vector vec to every row of the matrix. If a target is provided,
it is used to store the result instead of self.
"""
if not target:
target = self
err_code = _cudamat.add_row_vec(self.p_mat, vec.p_mat, target.p_... | [
"def",
"add_row_vec",
"(",
"self",
",",
"vec",
",",
"target",
"=",
"None",
")",
":",
"if",
"not",
"target",
":",
"target",
"=",
"self",
"err_code",
"=",
"_cudamat",
".",
"add_row_vec",
"(",
"self",
".",
"p_mat",
",",
"vec",
".",
"p_mat",
",",
"target... | https://github.com/cudamat/cudamat/blob/21baa0a82f189fae40cab3ab607c11cabfee8899/cudamat/cudamat.py#L557-L570 | |
deepmind/hanabi-learning-environment | 54e79594f4b6fb40ebb3004289c6db0e34a8b5fb | hanabi_learning_environment/pyhanabi.py | python | HanabiGame.hand_size | (self) | return lib.HandSize(self._game) | Returns the maximum number of cards in each player hand.
The number of cards in a player's hand may be smaller than this maximum
a) at the beginning of the game before cards are dealt out, b) after
any Play or Discard action and before the subsequent deal event, and c)
after the deck is empty and cards... | Returns the maximum number of cards in each player hand. | [
"Returns",
"the",
"maximum",
"number",
"of",
"cards",
"in",
"each",
"player",
"hand",
"."
] | def hand_size(self):
"""Returns the maximum number of cards in each player hand.
The number of cards in a player's hand may be smaller than this maximum
a) at the beginning of the game before cards are dealt out, b) after
any Play or Discard action and before the subsequent deal event, and c)
after... | [
"def",
"hand_size",
"(",
"self",
")",
":",
"return",
"lib",
".",
"HandSize",
"(",
"self",
".",
"_game",
")"
] | https://github.com/deepmind/hanabi-learning-environment/blob/54e79594f4b6fb40ebb3004289c6db0e34a8b5fb/hanabi_learning_environment/pyhanabi.py#L748-L756 | |
SirVer/ultisnips | 2c83e40ce66814bf813457bb58ea96184ab9bb81 | pythonx/UltiSnips/snippet/definition/base.py | python | SnippetDefinition._re_match | (self, trigger) | return False | Test if a the current regex trigger matches `trigger`.
If so, set _last_re and _matched. | Test if a the current regex trigger matches `trigger`. | [
"Test",
"if",
"a",
"the",
"current",
"regex",
"trigger",
"matches",
"trigger",
"."
] | def _re_match(self, trigger):
"""Test if a the current regex trigger matches `trigger`.
If so, set _last_re and _matched.
"""
for match in re.finditer(self._trigger, trigger):
if match.end() != len(trigger):
continue
else:
self._m... | [
"def",
"_re_match",
"(",
"self",
",",
"trigger",
")",
":",
"for",
"match",
"in",
"re",
".",
"finditer",
"(",
"self",
".",
"_trigger",
",",
"trigger",
")",
":",
"if",
"match",
".",
"end",
"(",
")",
"!=",
"len",
"(",
"trigger",
")",
":",
"continue",
... | https://github.com/SirVer/ultisnips/blob/2c83e40ce66814bf813457bb58ea96184ab9bb81/pythonx/UltiSnips/snippet/definition/base.py#L124-L138 | |
google/capirca | 679e3885e3a5e5e129dc2dfab204ec44d63b26a4 | capirca/lib/windows_ipsec.py | python | Term._ComposeFilter | (self, srcaddr, dstaddr, proto, srcmask, dstmask,
srcport, dstport) | return (self.CMD_PREFIX +
self._FILTER_FORMAT.substitute(
name=self.term_name + self._LIST_SUFFIX,
atoms=' '.join(atoms))) | Convert the given parameters to a netsh filter rule string. | Convert the given parameters to a netsh filter rule string. | [
"Convert",
"the",
"given",
"parameters",
"to",
"a",
"netsh",
"filter",
"rule",
"string",
"."
] | def _ComposeFilter(self, srcaddr, dstaddr, proto, srcmask, dstmask,
srcport, dstport):
"""Convert the given parameters to a netsh filter rule string."""
atoms = []
if srcmask == 0:
atoms.append(self._ADDR_ATOM.substitute(dir='src', addr='any', mask=''))
else:
mask_atom ... | [
"def",
"_ComposeFilter",
"(",
"self",
",",
"srcaddr",
",",
"dstaddr",
",",
"proto",
",",
"srcmask",
",",
"dstmask",
",",
"srcport",
",",
"dstport",
")",
":",
"atoms",
"=",
"[",
"]",
"if",
"srcmask",
"==",
"0",
":",
"atoms",
".",
"append",
"(",
"self"... | https://github.com/google/capirca/blob/679e3885e3a5e5e129dc2dfab204ec44d63b26a4/capirca/lib/windows_ipsec.py#L138-L168 | |
TencentCloud/tencentcloud-sdk-python | 3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2 | tencentcloud/tcr/v20190924/models.py | python | DescribeInstanceTokenResponse.__init__ | (self) | r"""
:param TotalCount: 长期访问凭证总数
:type TotalCount: int
:param Tokens: 长期访问凭证列表
:type Tokens: list of TcrInstanceToken
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str | r"""
:param TotalCount: 长期访问凭证总数
:type TotalCount: int
:param Tokens: 长期访问凭证列表
:type Tokens: list of TcrInstanceToken
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str | [
"r",
":",
"param",
"TotalCount",
":",
"长期访问凭证总数",
":",
"type",
"TotalCount",
":",
"int",
":",
"param",
"Tokens",
":",
"长期访问凭证列表",
":",
"type",
"Tokens",
":",
"list",
"of",
"TcrInstanceToken",
":",
"param",
"RequestId",
":",
"唯一请求",
"ID，每次请求都会返回。定位问题时需要提供该次请求的"... | def __init__(self):
r"""
:param TotalCount: 长期访问凭证总数
:type TotalCount: int
:param Tokens: 长期访问凭证列表
:type Tokens: list of TcrInstanceToken
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str
"""
self.TotalCount = None
... | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"TotalCount",
"=",
"None",
"self",
".",
"Tokens",
"=",
"None",
"self",
".",
"RequestId",
"=",
"None"
] | https://github.com/TencentCloud/tencentcloud-sdk-python/blob/3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2/tencentcloud/tcr/v20190924/models.py#L2836-L2847 | ||
tp4a/teleport | 1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad | server/www/packages/packages-linux/x64/cryptography/x509/name.py | python | RelativeDistinguishedName.get_attributes_for_oid | (self, oid) | return [i for i in self if i.oid == oid] | [] | def get_attributes_for_oid(self, oid):
return [i for i in self if i.oid == oid] | [
"def",
"get_attributes_for_oid",
"(",
"self",
",",
"oid",
")",
":",
"return",
"[",
"i",
"for",
"i",
"in",
"self",
"if",
"i",
".",
"oid",
"==",
"oid",
"]"
] | https://github.com/tp4a/teleport/blob/1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad/server/www/packages/packages-linux/x64/cryptography/x509/name.py#L162-L163 | |||
pandas-dev/pandas | 5ba7d714014ae8feaccc0dd4a98890828cf2832d | pandas/core/ops/__init__.py | python | should_reindex_frame_op | (
left: DataFrame, right, op, axis, default_axis, fill_value, level
) | return False | Check if this is an operation between DataFrames that will need to reindex. | Check if this is an operation between DataFrames that will need to reindex. | [
"Check",
"if",
"this",
"is",
"an",
"operation",
"between",
"DataFrames",
"that",
"will",
"need",
"to",
"reindex",
"."
] | def should_reindex_frame_op(
left: DataFrame, right, op, axis, default_axis, fill_value, level
) -> bool:
"""
Check if this is an operation between DataFrames that will need to reindex.
"""
assert isinstance(left, ABCDataFrame)
if op is operator.pow or op is roperator.rpow:
# GH#32685 p... | [
"def",
"should_reindex_frame_op",
"(",
"left",
":",
"DataFrame",
",",
"right",
",",
"op",
",",
"axis",
",",
"default_axis",
",",
"fill_value",
",",
"level",
")",
"->",
"bool",
":",
"assert",
"isinstance",
"(",
"left",
",",
"ABCDataFrame",
")",
"if",
"op",
... | https://github.com/pandas-dev/pandas/blob/5ba7d714014ae8feaccc0dd4a98890828cf2832d/pandas/core/ops/__init__.py#L315-L341 | |
partho-maple/coding-interview-gym | f9b28916da31935a27900794cfb8b91be3b38b9b | leetcode.com/python/21_Merge_Two_Sorted_Lists.py | python | MyLinkedList.getNode | (self, index) | return node | :type index: int
:rtype: Node | None | :type index: int
:rtype: Node | None | [
":",
"type",
"index",
":",
"int",
":",
"rtype",
":",
"Node",
"|",
"None"
] | def getNode(self, index):
"""
:type index: int
:rtype: Node | None
"""
if index >= self.size or index < 0:
return None
node = self.first
while index > 0:
node = node.next
index -= 1
return node | [
"def",
"getNode",
"(",
"self",
",",
"index",
")",
":",
"if",
"index",
">=",
"self",
".",
"size",
"or",
"index",
"<",
"0",
":",
"return",
"None",
"node",
"=",
"self",
".",
"first",
"while",
"index",
">",
"0",
":",
"node",
"=",
"node",
".",
"next",... | https://github.com/partho-maple/coding-interview-gym/blob/f9b28916da31935a27900794cfb8b91be3b38b9b/leetcode.com/python/21_Merge_Two_Sorted_Lists.py#L23-L34 | |
luispedro/milk | abc2a28b526c199414d42c0a26092938968c3caf | milk/unsupervised/nnmf/hoyer.py | python | sparse_nnmf | (V, r, sparsenessW=None, sparsenessH=None, max_iter=10000, R=None) | return W,H | W,H = hoyer.sparse_nnmf(V, r, sparsenessW = None, sparsenessH = None, max_iter=10000, R=None)
Implement sparse nonnegative matrix factorisation.
Parameters
----------
V : 2-D matrix
input feature matrix
r : integer
number of latent features
sparsenessW : double, optional
... | W,H = hoyer.sparse_nnmf(V, r, sparsenessW = None, sparsenessH = None, max_iter=10000, R=None) | [
"W",
"H",
"=",
"hoyer",
".",
"sparse_nnmf",
"(",
"V",
"r",
"sparsenessW",
"=",
"None",
"sparsenessH",
"=",
"None",
"max_iter",
"=",
"10000",
"R",
"=",
"None",
")"
] | def sparse_nnmf(V, r, sparsenessW=None, sparsenessH=None, max_iter=10000, R=None):
'''
W,H = hoyer.sparse_nnmf(V, r, sparsenessW = None, sparsenessH = None, max_iter=10000, R=None)
Implement sparse nonnegative matrix factorisation.
Parameters
----------
V : 2-D matrix
input feature mat... | [
"def",
"sparse_nnmf",
"(",
"V",
",",
"r",
",",
"sparsenessW",
"=",
"None",
",",
"sparsenessH",
"=",
"None",
",",
"max_iter",
"=",
"10000",
",",
"R",
"=",
"None",
")",
":",
"n",
",",
"m",
"=",
"V",
".",
"shape",
"R",
"=",
"get_nprandom",
"(",
"R",... | https://github.com/luispedro/milk/blob/abc2a28b526c199414d42c0a26092938968c3caf/milk/unsupervised/nnmf/hoyer.py#L75-L143 | |
astropy/photutils | 3caa48e4e4d139976ed7457dc41583fb2c56ba20 | photutils/psf/matching/windows.py | python | SplitCosineBellWindow.__call__ | (self, shape) | return f | Return a 2D split cosine bell.
Parameters
----------
shape : tuple of int
The size of the output array along each axis.
Returns
-------
result : `~numpy.ndarray`
A 2D array containing the cosine bell values. | Return a 2D split cosine bell. | [
"Return",
"a",
"2D",
"split",
"cosine",
"bell",
"."
] | def __call__(self, shape):
"""
Return a 2D split cosine bell.
Parameters
----------
shape : tuple of int
The size of the output array along each axis.
Returns
-------
result : `~numpy.ndarray`
A 2D array containing the cosine bell... | [
"def",
"__call__",
"(",
"self",
",",
"shape",
")",
":",
"radial_dist",
"=",
"_radial_distance",
"(",
"shape",
")",
"npts",
"=",
"(",
"np",
".",
"array",
"(",
"shape",
")",
".",
"min",
"(",
")",
"-",
"1.",
")",
"/",
"2.",
"r_inner",
"=",
"self",
"... | https://github.com/astropy/photutils/blob/3caa48e4e4d139976ed7457dc41583fb2c56ba20/photutils/psf/matching/windows.py#L79-L108 | |
dimagi/commcare-hq | d67ff1d3b4c51fa050c19e60c3253a79d3452a39 | corehq/apps/users/models.py | python | UserReportingMetadataStaging.add_heartbeat | (cls, domain, user_id, app_id, build_id, sync_date, device_id,
app_version, num_unsent_forms, num_quarantined_forms, commcare_version, build_profile_id) | [] | def add_heartbeat(cls, domain, user_id, app_id, build_id, sync_date, device_id,
app_version, num_unsent_forms, num_quarantined_forms, commcare_version, build_profile_id):
params = {
'domain': domain,
'user_id': user_id,
'app_id': app_id,
'build_id': build_... | [
"def",
"add_heartbeat",
"(",
"cls",
",",
"domain",
",",
"user_id",
",",
"app_id",
",",
"build_id",
",",
"sync_date",
",",
"device_id",
",",
"app_version",
",",
"num_unsent_forms",
",",
"num_quarantined_forms",
",",
"commcare_version",
",",
"build_profile_id",
")",... | https://github.com/dimagi/commcare-hq/blob/d67ff1d3b4c51fa050c19e60c3253a79d3452a39/corehq/apps/users/models.py#L2935-L2978 | ||||
Epistimio/orion | 732e739d99561020dbe620760acf062ade746006 | src/orion/core/evc/adapters.py | python | apply_if_valid | (name, trial, callback=None, raise_if_not=True) | return False | Detect a parameter in trial and call a callback on it if provided
Parameters
----------
name: str
Name of the param to look for
trial: `orion.core.worker.trial.Trial`
Instance of trial to investigate
callback: None of callable
Function to call with (trial, param) with a para... | Detect a parameter in trial and call a callback on it if provided | [
"Detect",
"a",
"parameter",
"in",
"trial",
"and",
"call",
"a",
"callback",
"on",
"it",
"if",
"provided"
] | def apply_if_valid(name, trial, callback=None, raise_if_not=True):
"""Detect a parameter in trial and call a callback on it if provided
Parameters
----------
name: str
Name of the param to look for
trial: `orion.core.worker.trial.Trial`
Instance of trial to investigate
callback:... | [
"def",
"apply_if_valid",
"(",
"name",
",",
"trial",
",",
"callback",
"=",
"None",
",",
"raise_if_not",
"=",
"True",
")",
":",
"for",
"param",
"in",
"trial",
".",
"_params",
":",
"# pylint: disable=protected-access",
"if",
"param",
".",
"name",
"==",
"name",
... | https://github.com/Epistimio/orion/blob/732e739d99561020dbe620760acf062ade746006/src/orion/core/evc/adapters.py#L228-L262 | |
optuna/optuna | 2c44c1a405ba059efd53f4b9c8e849d20fb95c0a | optuna/study/_optimize.py | python | _optimize | (
study: "optuna.Study",
func: "optuna.study.study.ObjectiveFuncType",
n_trials: Optional[int] = None,
timeout: Optional[float] = None,
n_jobs: int = 1,
catch: Tuple[Type[Exception], ...] = (),
callbacks: Optional[List[Callable[["optuna.Study", FrozenTrial], None]]] = None,
gc_after_tria... | [] | def _optimize(
study: "optuna.Study",
func: "optuna.study.study.ObjectiveFuncType",
n_trials: Optional[int] = None,
timeout: Optional[float] = None,
n_jobs: int = 1,
catch: Tuple[Type[Exception], ...] = (),
callbacks: Optional[List[Callable[["optuna.Study", FrozenTrial], None]]] = None,
... | [
"def",
"_optimize",
"(",
"study",
":",
"\"optuna.Study\"",
",",
"func",
":",
"\"optuna.study.study.ObjectiveFuncType\"",
",",
"n_trials",
":",
"Optional",
"[",
"int",
"]",
"=",
"None",
",",
"timeout",
":",
"Optional",
"[",
"float",
"]",
"=",
"None",
",",
"n_... | https://github.com/optuna/optuna/blob/2c44c1a405ba059efd53f4b9c8e849d20fb95c0a/optuna/study/_optimize.py#L40-L125 | ||||
vita-epfl/monoloco | f5e82c48e8ee5af352f2c9b1690050f4e02fc1b6 | monoloco/prep/preprocess_nu.py | python | factory | (dataset, dir_nuscenes) | return nusc, scenes, split_train, split_val | Define dataset type and split training and validation | Define dataset type and split training and validation | [
"Define",
"dataset",
"type",
"and",
"split",
"training",
"and",
"validation"
] | def factory(dataset, dir_nuscenes):
"""Define dataset type and split training and validation"""
assert dataset in ['nuscenes', 'nuscenes_mini', 'nuscenes_teaser']
if dataset == 'nuscenes_mini':
version = 'v1.0-mini'
else:
version = 'v1.0-trainval'
nusc = NuScenes(version=version, d... | [
"def",
"factory",
"(",
"dataset",
",",
"dir_nuscenes",
")",
":",
"assert",
"dataset",
"in",
"[",
"'nuscenes'",
",",
"'nuscenes_mini'",
",",
"'nuscenes_teaser'",
"]",
"if",
"dataset",
"==",
"'nuscenes_mini'",
":",
"version",
"=",
"'v1.0-mini'",
"else",
":",
"ve... | https://github.com/vita-epfl/monoloco/blob/f5e82c48e8ee5af352f2c9b1690050f4e02fc1b6/monoloco/prep/preprocess_nu.py#L185-L209 | |
yaml/pyyaml | 8cdff2c80573b8be8e8ad28929264a913a63aa33 | lib/yaml/__init__.py | python | add_multi_constructor | (tag_prefix, multi_constructor, Loader=None) | Add a multi-constructor for the given tag prefix.
Multi-constructor is called for a node if its tag starts with tag_prefix.
Multi-constructor accepts a Loader instance, a tag suffix,
and a node object and produces the corresponding Python object. | Add a multi-constructor for the given tag prefix.
Multi-constructor is called for a node if its tag starts with tag_prefix.
Multi-constructor accepts a Loader instance, a tag suffix,
and a node object and produces the corresponding Python object. | [
"Add",
"a",
"multi",
"-",
"constructor",
"for",
"the",
"given",
"tag",
"prefix",
".",
"Multi",
"-",
"constructor",
"is",
"called",
"for",
"a",
"node",
"if",
"its",
"tag",
"starts",
"with",
"tag_prefix",
".",
"Multi",
"-",
"constructor",
"accepts",
"a",
"... | def add_multi_constructor(tag_prefix, multi_constructor, Loader=None):
"""
Add a multi-constructor for the given tag prefix.
Multi-constructor is called for a node if its tag starts with tag_prefix.
Multi-constructor accepts a Loader instance, a tag suffix,
and a node object and produces the corresp... | [
"def",
"add_multi_constructor",
"(",
"tag_prefix",
",",
"multi_constructor",
",",
"Loader",
"=",
"None",
")",
":",
"if",
"Loader",
"is",
"None",
":",
"loader",
".",
"Loader",
".",
"add_multi_constructor",
"(",
"tag_prefix",
",",
"multi_constructor",
")",
"loader... | https://github.com/yaml/pyyaml/blob/8cdff2c80573b8be8e8ad28929264a913a63aa33/lib/yaml/__init__.py#L315-L327 | ||
NervanaSystems/neon | 8c3fb8a93b4a89303467b25817c60536542d08bd | neon/layers/layer.py | python | BranchNode.bprop | (self, error, alpha=1.0, beta=0.0) | Branch nodes should be skipped in bprop, since their deltas are shared
Arguments:
error (Tensor): deltas back propagated from the adjacent higher layer
alpha (float, optional): scale to apply to input for activation
gradient bprop. Defaults to 1.0
... | Branch nodes should be skipped in bprop, since their deltas are shared | [
"Branch",
"nodes",
"should",
"be",
"skipped",
"in",
"bprop",
"since",
"their",
"deltas",
"are",
"shared"
] | def bprop(self, error, alpha=1.0, beta=0.0):
"""
Branch nodes should be skipped in bprop, since their deltas are shared
Arguments:
error (Tensor): deltas back propagated from the adjacent higher layer
alpha (float, optional): scale to apply to input for activation
... | [
"def",
"bprop",
"(",
"self",
",",
"error",
",",
"alpha",
"=",
"1.0",
",",
"beta",
"=",
"0.0",
")",
":",
"pass"
] | https://github.com/NervanaSystems/neon/blob/8c3fb8a93b4a89303467b25817c60536542d08bd/neon/layers/layer.py#L417-L431 | ||
plotly/plotly.py | cfad7862594b35965c0e000813bd7805e8494a5b | packages/python/plotly/plotly/graph_objs/layout/_shape.py | python | Shape.yanchor | (self) | return self["yanchor"] | Only relevant in conjunction with `ysizemode` set to "pixel".
Specifies the anchor point on the y axis to which `y0`, `y1`
and y coordinates within `path` are relative to. E.g. useful to
attach a pixel sized shape to a certain data value. No effect
when `ysizemode` not set to "pixel".
... | Only relevant in conjunction with `ysizemode` set to "pixel".
Specifies the anchor point on the y axis to which `y0`, `y1`
and y coordinates within `path` are relative to. E.g. useful to
attach a pixel sized shape to a certain data value. No effect
when `ysizemode` not set to "pixel".
... | [
"Only",
"relevant",
"in",
"conjunction",
"with",
"ysizemode",
"set",
"to",
"pixel",
".",
"Specifies",
"the",
"anchor",
"point",
"on",
"the",
"y",
"axis",
"to",
"which",
"y0",
"y1",
"and",
"y",
"coordinates",
"within",
"path",
"are",
"relative",
"to",
".",
... | def yanchor(self):
"""
Only relevant in conjunction with `ysizemode` set to "pixel".
Specifies the anchor point on the y axis to which `y0`, `y1`
and y coordinates within `path` are relative to. E.g. useful to
attach a pixel sized shape to a certain data value. No effect
... | [
"def",
"yanchor",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"yanchor\"",
"]"
] | https://github.com/plotly/plotly.py/blob/cfad7862594b35965c0e000813bd7805e8494a5b/packages/python/plotly/plotly/graph_objs/layout/_shape.py#L528-L542 | |
nchammas/flintrock | fad4e15877a5bf7058395ecbc7be717b21ef6b85 | flintrock/flintrock.py | python | format_message | (*, message: str, indent: int=4, wrap: int=70) | return textwrap.indent(
textwrap.fill(
textwrap.dedent(text=message),
width=wrap),
prefix=' ' * indent) | Format a lengthy message for printing to screen. | Format a lengthy message for printing to screen. | [
"Format",
"a",
"lengthy",
"message",
"for",
"printing",
"to",
"screen",
"."
] | def format_message(*, message: str, indent: int=4, wrap: int=70):
"""
Format a lengthy message for printing to screen.
"""
return textwrap.indent(
textwrap.fill(
textwrap.dedent(text=message),
width=wrap),
prefix=' ' * indent) | [
"def",
"format_message",
"(",
"*",
",",
"message",
":",
"str",
",",
"indent",
":",
"int",
"=",
"4",
",",
"wrap",
":",
"int",
"=",
"70",
")",
":",
"return",
"textwrap",
".",
"indent",
"(",
"textwrap",
".",
"fill",
"(",
"textwrap",
".",
"dedent",
"("... | https://github.com/nchammas/flintrock/blob/fad4e15877a5bf7058395ecbc7be717b21ef6b85/flintrock/flintrock.py#L46-L54 | |
openstack/nova | b49b7663e1c3073917d5844b81d38db8e86d05c4 | nova/compute/manager.py | python | ComputeManager._confirm_snapshot_based_resize_delete_port_bindings | (
self, ctxt, instance) | Delete port bindings for the source host when confirming
snapshot-based resize on the source host."
:param ctxt: nova auth RequestContext
:param instance: Instance object that was resized/cold migrated | Delete port bindings for the source host when confirming
snapshot-based resize on the source host." | [
"Delete",
"port",
"bindings",
"for",
"the",
"source",
"host",
"when",
"confirming",
"snapshot",
"-",
"based",
"resize",
"on",
"the",
"source",
"host",
"."
] | def _confirm_snapshot_based_resize_delete_port_bindings(
self, ctxt, instance):
"""Delete port bindings for the source host when confirming
snapshot-based resize on the source host."
:param ctxt: nova auth RequestContext
:param instance: Instance object that was resized/cold... | [
"def",
"_confirm_snapshot_based_resize_delete_port_bindings",
"(",
"self",
",",
"ctxt",
",",
"instance",
")",
":",
"LOG",
".",
"debug",
"(",
"'Deleting port bindings for source host.'",
",",
"instance",
"=",
"instance",
")",
"try",
":",
"self",
".",
"network_api",
"... | https://github.com/openstack/nova/blob/b49b7663e1c3073917d5844b81d38db8e86d05c4/nova/compute/manager.py#L4562-L4579 | ||
assertpy/assertpy | c970c6612a80aa10769dc612324630d27019e1b5 | assertpy/string.py | python | StringMixin.contains_ignoring_case | (self, *items) | return self | Asserts that val is string and contains the given item or items.
Walks val and checks for item or items using the ``==`` operator and ``str.lower()``.
Args:
*items: the item or items expected to be contained
Examples:
Usage::
assert_that('foo').contain... | Asserts that val is string and contains the given item or items. | [
"Asserts",
"that",
"val",
"is",
"string",
"and",
"contains",
"the",
"given",
"item",
"or",
"items",
"."
] | def contains_ignoring_case(self, *items):
"""Asserts that val is string and contains the given item or items.
Walks val and checks for item or items using the ``==`` operator and ``str.lower()``.
Args:
*items: the item or items expected to be contained
Examples:
... | [
"def",
"contains_ignoring_case",
"(",
"self",
",",
"*",
"items",
")",
":",
"if",
"len",
"(",
"items",
")",
"==",
"0",
":",
"raise",
"ValueError",
"(",
"'one or more args must be given'",
")",
"if",
"isinstance",
"(",
"self",
".",
"val",
",",
"str_types",
"... | https://github.com/assertpy/assertpy/blob/c970c6612a80aa10769dc612324630d27019e1b5/assertpy/string.py#L77-L136 | |
oilshell/oil | 94388e7d44a9ad879b12615f6203b38596b5a2d3 | Python-2.7.13/Lib/urllib2.py | python | FileHandler.file_open | (self, req) | [] | def file_open(self, req):
url = req.get_selector()
if url[:2] == '//' and url[2:3] != '/' and (req.host and
req.host != 'localhost'):
req.type = 'ftp'
return self.parent.open(req)
else:
return self.open_local_file(req) | [
"def",
"file_open",
"(",
"self",
",",
"req",
")",
":",
"url",
"=",
"req",
".",
"get_selector",
"(",
")",
"if",
"url",
"[",
":",
"2",
"]",
"==",
"'//'",
"and",
"url",
"[",
"2",
":",
"3",
"]",
"!=",
"'/'",
"and",
"(",
"req",
".",
"host",
"and",... | https://github.com/oilshell/oil/blob/94388e7d44a9ad879b12615f6203b38596b5a2d3/Python-2.7.13/Lib/urllib2.py#L1329-L1336 | ||||
blurstudio/cross3d | 277968d1227de740fc87ef61005c75034420eadf | cross3d/studiomax/studiomaxscene.py | python | StudiomaxScene.renderOutputPath | (self) | return mxs.rendOutputFilename | \remarks return the render output file path for the scene
\return <str> | \remarks return the render output file path for the scene
\return <str> | [
"\\",
"remarks",
"return",
"the",
"render",
"output",
"file",
"path",
"for",
"the",
"scene",
"\\",
"return",
"<str",
">"
] | def renderOutputPath(self):
"""
\remarks return the render output file path for the scene
\return <str>
"""
return mxs.rendOutputFilename | [
"def",
"renderOutputPath",
"(",
"self",
")",
":",
"return",
"mxs",
".",
"rendOutputFilename"
] | https://github.com/blurstudio/cross3d/blob/277968d1227de740fc87ef61005c75034420eadf/cross3d/studiomax/studiomaxscene.py#L2836-L2841 | |
golismero/golismero | 7d605b937e241f51c1ca4f47b20f755eeefb9d76 | golismero/api/data/vulnerability/suspicious/header.py | python | SuspiciousHeader.name | (self) | return self.__name | :returns: Header name.
:rtype: str | :returns: Header name.
:rtype: str | [
":",
"returns",
":",
"Header",
"name",
".",
":",
"rtype",
":",
"str"
] | def name(self):
"""
:returns: Header name.
:rtype: str
"""
return self.__name | [
"def",
"name",
"(",
"self",
")",
":",
"return",
"self",
".",
"__name"
] | https://github.com/golismero/golismero/blob/7d605b937e241f51c1ca4f47b20f755eeefb9d76/golismero/api/data/vulnerability/suspicious/header.py#L79-L84 | |
ceph/ceph-ansible | 583e60af84180f0414d67ee52c3ec7cd64ddb4dd | library/ceph_key.py | python | get_key | (cluster, user, user_key, name, dest, container_image=None) | return cmd_list | Get a CephX key (write on the filesystem) | Get a CephX key (write on the filesystem) | [
"Get",
"a",
"CephX",
"key",
"(",
"write",
"on",
"the",
"filesystem",
")"
] | def get_key(cluster, user, user_key, name, dest, container_image=None):
'''
Get a CephX key (write on the filesystem)
'''
cmd_list = []
args = [
'get',
name,
'-o',
dest,
]
cmd_list.append(generate_ceph_cmd(sub_cmd=['auth'],
... | [
"def",
"get_key",
"(",
"cluster",
",",
"user",
",",
"user_key",
",",
"name",
",",
"dest",
",",
"container_image",
"=",
"None",
")",
":",
"cmd_list",
"=",
"[",
"]",
"args",
"=",
"[",
"'get'",
",",
"name",
",",
"'-o'",
",",
"dest",
",",
"]",
"cmd_lis... | https://github.com/ceph/ceph-ansible/blob/583e60af84180f0414d67ee52c3ec7cd64ddb4dd/library/ceph_key.py#L339-L360 | |
IronLanguages/ironpython3 | 7a7bb2a872eeab0d1009fc8a6e24dca43f65b693 | Src/StdLib/Lib/tkinter/__init__.py | python | Wm.wm_overrideredirect | (self, boolean=None) | return self._getboolean(self.tk.call(
'wm', 'overrideredirect', self._w, boolean)) | Instruct the window manager to ignore this widget
if BOOLEAN is given with 1. Return the current value if None
is given. | Instruct the window manager to ignore this widget
if BOOLEAN is given with 1. Return the current value if None
is given. | [
"Instruct",
"the",
"window",
"manager",
"to",
"ignore",
"this",
"widget",
"if",
"BOOLEAN",
"is",
"given",
"with",
"1",
".",
"Return",
"the",
"current",
"value",
"if",
"None",
"is",
"given",
"."
] | def wm_overrideredirect(self, boolean=None):
"""Instruct the window manager to ignore this widget
if BOOLEAN is given with 1. Return the current value if None
is given."""
return self._getboolean(self.tk.call(
'wm', 'overrideredirect', self._w, boolean)) | [
"def",
"wm_overrideredirect",
"(",
"self",
",",
"boolean",
"=",
"None",
")",
":",
"return",
"self",
".",
"_getboolean",
"(",
"self",
".",
"tk",
".",
"call",
"(",
"'wm'",
",",
"'overrideredirect'",
",",
"self",
".",
"_w",
",",
"boolean",
")",
")"
] | https://github.com/IronLanguages/ironpython3/blob/7a7bb2a872eeab0d1009fc8a6e24dca43f65b693/Src/StdLib/Lib/tkinter/__init__.py#L1776-L1781 | |
aleju/imgaug | 0101108d4fed06bc5056c4a03e2bcb0216dac326 | imgaug/augmenters/color.py | python | RemoveSaturation.__init__ | (self, mul=1, from_colorspace=CSPACE_RGB,
seed=None, name=None,
random_state="deprecated", deterministic="deprecated") | [] | def __init__(self, mul=1, from_colorspace=CSPACE_RGB,
seed=None, name=None,
random_state="deprecated", deterministic="deprecated"):
mul = iap.Subtract(
1.0,
iap.handle_continuous_param(mul, "mul",
value_range=(0.0,... | [
"def",
"__init__",
"(",
"self",
",",
"mul",
"=",
"1",
",",
"from_colorspace",
"=",
"CSPACE_RGB",
",",
"seed",
"=",
"None",
",",
"name",
"=",
"None",
",",
"random_state",
"=",
"\"deprecated\"",
",",
"deterministic",
"=",
"\"deprecated\"",
")",
":",
"mul",
... | https://github.com/aleju/imgaug/blob/0101108d4fed06bc5056c4a03e2bcb0216dac326/imgaug/augmenters/color.py#L2180-L2194 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.