repo stringlengths 7 54 | path stringlengths 4 192 | url stringlengths 87 284 | code stringlengths 78 104k | code_tokens list | docstring stringlengths 1 46.9k | docstring_tokens list | language stringclasses 1
value | partition stringclasses 3
values |
|---|---|---|---|---|---|---|---|---|
hardbyte/python-can | can/interfaces/systec/ucan.py | https://github.com/hardbyte/python-can/blob/cdc5254d96072df7739263623f3e920628a7d214/can/interfaces/systec/ucan.py#L548-L559 | def get_msg_pending(self, channel, flags):
"""
Returns the number of pending CAN messages.
:param int channel: CAN channel, to be used (:data:`Channel.CHANNEL_CH0` or :data:`Channel.CHANNEL_CH1`).
:param int flags: Flags specifies which buffers should be checked (see enum :class:`Pendin... | [
"def",
"get_msg_pending",
"(",
"self",
",",
"channel",
",",
"flags",
")",
":",
"count",
"=",
"DWORD",
"(",
"0",
")",
"UcanGetMsgPending",
"(",
"self",
".",
"_handle",
",",
"channel",
",",
"flags",
",",
"byref",
"(",
"count",
")",
")",
"return",
"count"... | Returns the number of pending CAN messages.
:param int channel: CAN channel, to be used (:data:`Channel.CHANNEL_CH0` or :data:`Channel.CHANNEL_CH1`).
:param int flags: Flags specifies which buffers should be checked (see enum :class:`PendingFlags`).
:return: The number of pending messages.
... | [
"Returns",
"the",
"number",
"of",
"pending",
"CAN",
"messages",
"."
] | python | train |
minhhoit/yacms | yacms/accounts/views.py | https://github.com/minhhoit/yacms/blob/2921b706b7107c6e8c5f2bbf790ff11f85a2167f/yacms/accounts/views.py#L103-L111 | def profile(request, username, template="accounts/account_profile.html",
extra_context=None):
"""
Display a profile.
"""
lookup = {"username__iexact": username, "is_active": True}
context = {"profile_user": get_object_or_404(User, **lookup)}
context.update(extra_context or {})
re... | [
"def",
"profile",
"(",
"request",
",",
"username",
",",
"template",
"=",
"\"accounts/account_profile.html\"",
",",
"extra_context",
"=",
"None",
")",
":",
"lookup",
"=",
"{",
"\"username__iexact\"",
":",
"username",
",",
"\"is_active\"",
":",
"True",
"}",
"conte... | Display a profile. | [
"Display",
"a",
"profile",
"."
] | python | train |
tk0miya/tk.phpautodoc | src/phply/phpparse.py | https://github.com/tk0miya/tk.phpautodoc/blob/cf789f64abaf76351485cee231a075227e665fb6/src/phply/phpparse.py#L477-L483 | def p_class_declaration_statement(p):
'''class_declaration_statement : class_entry_type STRING extends_from implements_list LBRACE class_statement_list RBRACE
| INTERFACE STRING interface_extends_list LBRACE class_statement_list RBRACE'''
if len(p) == 8:
p[0] = ast.Cla... | [
"def",
"p_class_declaration_statement",
"(",
"p",
")",
":",
"if",
"len",
"(",
"p",
")",
"==",
"8",
":",
"p",
"[",
"0",
"]",
"=",
"ast",
".",
"Class",
"(",
"p",
"[",
"2",
"]",
",",
"p",
"[",
"1",
"]",
",",
"p",
"[",
"3",
"]",
",",
"p",
"["... | class_declaration_statement : class_entry_type STRING extends_from implements_list LBRACE class_statement_list RBRACE
| INTERFACE STRING interface_extends_list LBRACE class_statement_list RBRACE | [
"class_declaration_statement",
":",
"class_entry_type",
"STRING",
"extends_from",
"implements_list",
"LBRACE",
"class_statement_list",
"RBRACE",
"|",
"INTERFACE",
"STRING",
"interface_extends_list",
"LBRACE",
"class_statement_list",
"RBRACE"
] | python | train |
takuti/flurs | flurs/datasets/movielens.py | https://github.com/takuti/flurs/blob/a998fc180b45db7eaf38dbbbf8125a93100b8a8c/flurs/datasets/movielens.py#L151-L167 | def delta(d1, d2, opt='d'):
"""Compute difference between given 2 dates in month/day.
"""
delta = 0
if opt == 'm':
while True:
mdays = monthrange(d1.year, d1.month)[1]
d1 += timedelta(days=mdays)
if d1 <= d2:
delta += 1
else:
... | [
"def",
"delta",
"(",
"d1",
",",
"d2",
",",
"opt",
"=",
"'d'",
")",
":",
"delta",
"=",
"0",
"if",
"opt",
"==",
"'m'",
":",
"while",
"True",
":",
"mdays",
"=",
"monthrange",
"(",
"d1",
".",
"year",
",",
"d1",
".",
"month",
")",
"[",
"1",
"]",
... | Compute difference between given 2 dates in month/day. | [
"Compute",
"difference",
"between",
"given",
"2",
"dates",
"in",
"month",
"/",
"day",
"."
] | python | train |
cackharot/suds-py3 | suds/bindings/rpc.py | https://github.com/cackharot/suds-py3/blob/7387ec7806e9be29aad0a711bea5cb3c9396469c/suds/bindings/rpc.py#L89-L98 | def unmarshaller(self, typed=True):
"""
Get the appropriate XML decoder.
@return: Either the (basic|typed) unmarshaller.
@rtype: L{UmxTyped}
"""
if typed:
return UmxEncoded(self.schema())
else:
return RPC.unmarshaller(self, typed) | [
"def",
"unmarshaller",
"(",
"self",
",",
"typed",
"=",
"True",
")",
":",
"if",
"typed",
":",
"return",
"UmxEncoded",
"(",
"self",
".",
"schema",
"(",
")",
")",
"else",
":",
"return",
"RPC",
".",
"unmarshaller",
"(",
"self",
",",
"typed",
")"
] | Get the appropriate XML decoder.
@return: Either the (basic|typed) unmarshaller.
@rtype: L{UmxTyped} | [
"Get",
"the",
"appropriate",
"XML",
"decoder",
"."
] | python | train |
saltstack/salt | salt/modules/kubernetesmod.py | https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/modules/kubernetesmod.py#L1551-L1560 | def __dict_to_pod_spec(spec):
'''
Converts a dictionary into kubernetes V1PodSpec instance.
'''
spec_obj = kubernetes.client.V1PodSpec()
for key, value in iteritems(spec):
if hasattr(spec_obj, key):
setattr(spec_obj, key, value)
return spec_obj | [
"def",
"__dict_to_pod_spec",
"(",
"spec",
")",
":",
"spec_obj",
"=",
"kubernetes",
".",
"client",
".",
"V1PodSpec",
"(",
")",
"for",
"key",
",",
"value",
"in",
"iteritems",
"(",
"spec",
")",
":",
"if",
"hasattr",
"(",
"spec_obj",
",",
"key",
")",
":",
... | Converts a dictionary into kubernetes V1PodSpec instance. | [
"Converts",
"a",
"dictionary",
"into",
"kubernetes",
"V1PodSpec",
"instance",
"."
] | python | train |
woolfson-group/isambard | isambard/ampal/base_ampal.py | https://github.com/woolfson-group/isambard/blob/ebc33b48a28ad217e18f93b910dfba46e6e71e07/isambard/ampal/base_ampal.py#L22-L39 | def find_atoms_within_distance(atoms, cutoff_distance, point):
"""Returns atoms within the distance from the point.
Parameters
----------
atoms : [ampal.atom]
A list of `ampal.atoms`.
cutoff_distance : float
Maximum distance from point.
point : (float, float, float)
Refe... | [
"def",
"find_atoms_within_distance",
"(",
"atoms",
",",
"cutoff_distance",
",",
"point",
")",
":",
"return",
"[",
"x",
"for",
"x",
"in",
"atoms",
"if",
"distance",
"(",
"x",
",",
"point",
")",
"<=",
"cutoff_distance",
"]"
] | Returns atoms within the distance from the point.
Parameters
----------
atoms : [ampal.atom]
A list of `ampal.atoms`.
cutoff_distance : float
Maximum distance from point.
point : (float, float, float)
Reference point, 3D coordinate.
Returns
-------
filtered_atom... | [
"Returns",
"atoms",
"within",
"the",
"distance",
"from",
"the",
"point",
"."
] | python | train |
CityOfZion/neo-python | neo/Core/TX/Transaction.py | https://github.com/CityOfZion/neo-python/blob/fe90f62e123d720d4281c79af0598d9df9e776fb/neo/Core/TX/Transaction.py#L124-L133 | def Serialize(self, writer):
"""
Serialize object.
Args:
writer (neo.IO.BinaryWriter):
"""
writer.WriteUInt256(self.AssetId)
writer.WriteFixed8(self.Value)
writer.WriteUInt160(self.ScriptHash) | [
"def",
"Serialize",
"(",
"self",
",",
"writer",
")",
":",
"writer",
".",
"WriteUInt256",
"(",
"self",
".",
"AssetId",
")",
"writer",
".",
"WriteFixed8",
"(",
"self",
".",
"Value",
")",
"writer",
".",
"WriteUInt160",
"(",
"self",
".",
"ScriptHash",
")"
] | Serialize object.
Args:
writer (neo.IO.BinaryWriter): | [
"Serialize",
"object",
"."
] | python | train |
floydhub/floyd-cli | floyd/cli/auth.py | https://github.com/floydhub/floyd-cli/blob/ea6b9521119cbde2dfc71ce0cc87c0d9c143fc6c/floyd/cli/auth.py#L77-L98 | def login(token, apikey, username, password):
"""
Login to FloydHub.
"""
if manual_login_success(token, username, password):
return
if not apikey:
if has_browser():
apikey = wait_for_apikey()
else:
floyd_logger.error(
"No browser found... | [
"def",
"login",
"(",
"token",
",",
"apikey",
",",
"username",
",",
"password",
")",
":",
"if",
"manual_login_success",
"(",
"token",
",",
"username",
",",
"password",
")",
":",
"return",
"if",
"not",
"apikey",
":",
"if",
"has_browser",
"(",
")",
":",
"... | Login to FloydHub. | [
"Login",
"to",
"FloydHub",
"."
] | python | train |
jxtech/wechatpy | wechatpy/client/api/tag.py | https://github.com/jxtech/wechatpy/blob/4df0da795618c0895a10f1c2cde9e9d5c0a93aaa/wechatpy/client/api/tag.py#L169-L185 | def get_black_list(self, begin_openid=None):
"""
获取公众号的黑名单列表
详情请参考
https://mp.weixin.qq.com/wiki?id=mp1471422259_pJMWA
:param begin_openid: 起始的 OpenID,传空则默认从头开始拉取
:return: 返回的 JSON 数据包
:rtype: dict
"""
data = {}
if begin_openid:
... | [
"def",
"get_black_list",
"(",
"self",
",",
"begin_openid",
"=",
"None",
")",
":",
"data",
"=",
"{",
"}",
"if",
"begin_openid",
":",
"data",
"[",
"'begin_openid'",
"]",
"=",
"begin_openid",
"return",
"self",
".",
"_post",
"(",
"'tags/members/getblacklist'",
"... | 获取公众号的黑名单列表
详情请参考
https://mp.weixin.qq.com/wiki?id=mp1471422259_pJMWA
:param begin_openid: 起始的 OpenID,传空则默认从头开始拉取
:return: 返回的 JSON 数据包
:rtype: dict | [
"获取公众号的黑名单列表",
"详情请参考",
"https",
":",
"//",
"mp",
".",
"weixin",
".",
"qq",
".",
"com",
"/",
"wiki?id",
"=",
"mp1471422259_pJMWA"
] | python | train |
aboSamoor/polyglot | polyglot/downloader.py | https://github.com/aboSamoor/polyglot/blob/d0d2aa8d06cec4e03bd96618ae960030f7069a17/polyglot/downloader.py#L1280-L1344 | def build_index(root, base_url):
"""
Create a new data.xml index file, by combining the xml description
files for various packages and collections. ``root`` should be the
path to a directory containing the package xml and zip files; and
the collection xml files. The ``root`` directory is expected to
have ... | [
"def",
"build_index",
"(",
"root",
",",
"base_url",
")",
":",
"# Find all packages.",
"packages",
"=",
"[",
"]",
"for",
"pkg_xml",
",",
"zf",
",",
"subdir",
"in",
"_find_packages",
"(",
"os",
".",
"path",
".",
"join",
"(",
"root",
",",
"'packages'",
")",... | Create a new data.xml index file, by combining the xml description
files for various packages and collections. ``root`` should be the
path to a directory containing the package xml and zip files; and
the collection xml files. The ``root`` directory is expected to
have the following subdirectories::
root/... | [
"Create",
"a",
"new",
"data",
".",
"xml",
"index",
"file",
"by",
"combining",
"the",
"xml",
"description",
"files",
"for",
"various",
"packages",
"and",
"collections",
".",
"root",
"should",
"be",
"the",
"path",
"to",
"a",
"directory",
"containing",
"the",
... | python | train |
HazyResearch/fonduer | src/fonduer/learning/disc_models/sparse_logistic_regression.py | https://github.com/HazyResearch/fonduer/blob/4520f86a716f03dcca458a9f4bddac75b4e7068f/src/fonduer/learning/disc_models/sparse_logistic_regression.py#L134-L150 | def _update_settings(self, X):
"""
Update the model argument.
:param X: The input data of the model.
:type X: list of (candidate, features) pair
"""
self.logger.info("Loading default parameters for Sparse Logistic Regression")
config = get_config()["learning"]["... | [
"def",
"_update_settings",
"(",
"self",
",",
"X",
")",
":",
"self",
".",
"logger",
".",
"info",
"(",
"\"Loading default parameters for Sparse Logistic Regression\"",
")",
"config",
"=",
"get_config",
"(",
")",
"[",
"\"learning\"",
"]",
"[",
"\"SparseLogisticRegressi... | Update the model argument.
:param X: The input data of the model.
:type X: list of (candidate, features) pair | [
"Update",
"the",
"model",
"argument",
"."
] | python | train |
rapidpro/expressions | python/temba_expressions/evaluator.py | https://github.com/rapidpro/expressions/blob/b03d91ec58fc328960bce90ecb5fa49dcf467627/python/temba_expressions/evaluator.py#L475-L481 | def visitConcatenation(self, ctx):
"""
expression: expression AMPERSAND expression
"""
arg1 = conversions.to_string(self.visit(ctx.expression(0)), self._eval_context)
arg2 = conversions.to_string(self.visit(ctx.expression(1)), self._eval_context)
return arg1 + arg2 | [
"def",
"visitConcatenation",
"(",
"self",
",",
"ctx",
")",
":",
"arg1",
"=",
"conversions",
".",
"to_string",
"(",
"self",
".",
"visit",
"(",
"ctx",
".",
"expression",
"(",
"0",
")",
")",
",",
"self",
".",
"_eval_context",
")",
"arg2",
"=",
"conversion... | expression: expression AMPERSAND expression | [
"expression",
":",
"expression",
"AMPERSAND",
"expression"
] | python | train |
ArduPilot/MAVProxy | MAVProxy/modules/mavproxy_map/srtm.py | https://github.com/ArduPilot/MAVProxy/blob/f50bdeff33064876f7dc8dc4683d278ff47f75d5/MAVProxy/modules/mavproxy_map/srtm.py#L121-L131 | def createFileList(self):
"""SRTM data is split into different directories, get a list of all of
them and create a dictionary for easy lookup."""
global childFileListDownload
global filelistDownloadActive
mypid = os.getpid()
if mypid not in childFileListDownload or no... | [
"def",
"createFileList",
"(",
"self",
")",
":",
"global",
"childFileListDownload",
"global",
"filelistDownloadActive",
"mypid",
"=",
"os",
".",
"getpid",
"(",
")",
"if",
"mypid",
"not",
"in",
"childFileListDownload",
"or",
"not",
"childFileListDownload",
"[",
"myp... | SRTM data is split into different directories, get a list of all of
them and create a dictionary for easy lookup. | [
"SRTM",
"data",
"is",
"split",
"into",
"different",
"directories",
"get",
"a",
"list",
"of",
"all",
"of",
"them",
"and",
"create",
"a",
"dictionary",
"for",
"easy",
"lookup",
"."
] | python | train |
bcbio/bcbio-nextgen | bcbio/pipeline/variation.py | https://github.com/bcbio/bcbio-nextgen/blob/6a9348c0054ccd5baffd22f1bb7d0422f6978b20/bcbio/pipeline/variation.py#L65-L75 | def _normalize_vc_input(data):
"""Normalize different types of variant calling inputs.
Handles standard and ensemble inputs.
"""
if data.get("ensemble"):
for k in ["batch_samples", "validate", "vrn_file"]:
data[k] = data["ensemble"][k]
data["config"]["algorithm"]["variantcal... | [
"def",
"_normalize_vc_input",
"(",
"data",
")",
":",
"if",
"data",
".",
"get",
"(",
"\"ensemble\"",
")",
":",
"for",
"k",
"in",
"[",
"\"batch_samples\"",
",",
"\"validate\"",
",",
"\"vrn_file\"",
"]",
":",
"data",
"[",
"k",
"]",
"=",
"data",
"[",
"\"en... | Normalize different types of variant calling inputs.
Handles standard and ensemble inputs. | [
"Normalize",
"different",
"types",
"of",
"variant",
"calling",
"inputs",
"."
] | python | train |
lsst-sqre/documenteer | documenteer/sphinxext/lssttasks/taskutils.py | https://github.com/lsst-sqre/documenteer/blob/75f02901a80042b28d074df1cc1dca32eb8e38c8/documenteer/sphinxext/lssttasks/taskutils.py#L82-L103 | def get_subtask_fields(config_class):
"""Get all configurable subtask fields from a Config class.
Parameters
----------
config_class : ``lsst.pipe.base.Config``-type
The configuration class (not an instance) corresponding to a Task.
Returns
-------
subtask_fields : `dict`
M... | [
"def",
"get_subtask_fields",
"(",
"config_class",
")",
":",
"from",
"lsst",
".",
"pex",
".",
"config",
"import",
"ConfigurableField",
",",
"RegistryField",
"def",
"is_subtask_field",
"(",
"obj",
")",
":",
"return",
"isinstance",
"(",
"obj",
",",
"(",
"Configur... | Get all configurable subtask fields from a Config class.
Parameters
----------
config_class : ``lsst.pipe.base.Config``-type
The configuration class (not an instance) corresponding to a Task.
Returns
-------
subtask_fields : `dict`
Mapping where keys are the config attribute na... | [
"Get",
"all",
"configurable",
"subtask",
"fields",
"from",
"a",
"Config",
"class",
"."
] | python | train |
IdentityPython/fedoidcmsg | src/fedoidcmsg/utils.py | https://github.com/IdentityPython/fedoidcmsg/blob/d30107be02521fa6cdfe285da3b6b0cdd153c8cc/src/fedoidcmsg/utils.py#L15-L33 | def self_sign_jwks(keyjar, iss, kid='', lifetime=3600):
"""
Create a signed JWT containing a JWKS. The JWT is signed by one of the
keys in the JWKS.
:param keyjar: A KeyJar instance with at least one private signing key
:param iss: issuer of the JWT, should be the owner of the keys
:param kid: ... | [
"def",
"self_sign_jwks",
"(",
"keyjar",
",",
"iss",
",",
"kid",
"=",
"''",
",",
"lifetime",
"=",
"3600",
")",
":",
"# _json = json.dumps(jwks)",
"_jwt",
"=",
"JWT",
"(",
"keyjar",
",",
"iss",
"=",
"iss",
",",
"lifetime",
"=",
"lifetime",
")",
"jwks",
"... | Create a signed JWT containing a JWKS. The JWT is signed by one of the
keys in the JWKS.
:param keyjar: A KeyJar instance with at least one private signing key
:param iss: issuer of the JWT, should be the owner of the keys
:param kid: A key ID if a special key should be used otherwise one
is pi... | [
"Create",
"a",
"signed",
"JWT",
"containing",
"a",
"JWKS",
".",
"The",
"JWT",
"is",
"signed",
"by",
"one",
"of",
"the",
"keys",
"in",
"the",
"JWKS",
"."
] | python | test |
Crunch-io/crunch-cube | src/cr/cube/crunch_cube.py | https://github.com/Crunch-io/crunch-cube/blob/a837840755690eb14b2ec8e8d93b4104e01c854f/src/cr/cube/crunch_cube.py#L1401-L1416 | def population_fraction(self):
"""The filtered/unfiltered ratio for cube response.
This value is required for properly calculating population on a cube
where a filter has been applied. Returns 1.0 for an unfiltered cube.
Returns `np.nan` if the unfiltered count is zero, which would
... | [
"def",
"population_fraction",
"(",
"self",
")",
":",
"numerator",
"=",
"self",
".",
"_cube_dict",
"[",
"\"result\"",
"]",
".",
"get",
"(",
"\"filtered\"",
",",
"{",
"}",
")",
".",
"get",
"(",
"\"weighted_n\"",
")",
"denominator",
"=",
"self",
".",
"_cube... | The filtered/unfiltered ratio for cube response.
This value is required for properly calculating population on a cube
where a filter has been applied. Returns 1.0 for an unfiltered cube.
Returns `np.nan` if the unfiltered count is zero, which would
otherwise result in a divide-by-zero e... | [
"The",
"filtered",
"/",
"unfiltered",
"ratio",
"for",
"cube",
"response",
"."
] | python | train |
draperjames/qtpandas | qtpandas/models/DataFrameModelManager.py | https://github.com/draperjames/qtpandas/blob/64294fb69f1839e53dee5ea453337266bfaf24f4/qtpandas/models/DataFrameModelManager.py#L164-L173 | def remove_file(self, filepath):
"""
Removes the DataFrameModel from being registered.
:param filepath: (str)
The filepath to delete from the DataFrameModelManager.
:return: None
"""
self._models.pop(filepath)
self._updates.pop(filepath, default=None)
... | [
"def",
"remove_file",
"(",
"self",
",",
"filepath",
")",
":",
"self",
".",
"_models",
".",
"pop",
"(",
"filepath",
")",
"self",
".",
"_updates",
".",
"pop",
"(",
"filepath",
",",
"default",
"=",
"None",
")",
"self",
".",
"signalModelDestroyed",
".",
"e... | Removes the DataFrameModel from being registered.
:param filepath: (str)
The filepath to delete from the DataFrameModelManager.
:return: None | [
"Removes",
"the",
"DataFrameModel",
"from",
"being",
"registered",
".",
":",
"param",
"filepath",
":",
"(",
"str",
")",
"The",
"filepath",
"to",
"delete",
"from",
"the",
"DataFrameModelManager",
".",
":",
"return",
":",
"None"
] | python | train |
pandas-dev/pandas | pandas/core/series.py | https://github.com/pandas-dev/pandas/blob/9feb3ad92cc0397a04b665803a49299ee7aa1037/pandas/core/series.py#L540-L580 | def nonzero(self):
"""
Return the *integer* indices of the elements that are non-zero.
.. deprecated:: 0.24.0
Please use .to_numpy().nonzero() as a replacement.
This method is equivalent to calling `numpy.nonzero` on the
series data. For compatibility with NumPy, the... | [
"def",
"nonzero",
"(",
"self",
")",
":",
"msg",
"=",
"(",
"\"Series.nonzero() is deprecated \"",
"\"and will be removed in a future version.\"",
"\"Use Series.to_numpy().nonzero() instead\"",
")",
"warnings",
".",
"warn",
"(",
"msg",
",",
"FutureWarning",
",",
"stacklevel",... | Return the *integer* indices of the elements that are non-zero.
.. deprecated:: 0.24.0
Please use .to_numpy().nonzero() as a replacement.
This method is equivalent to calling `numpy.nonzero` on the
series data. For compatibility with NumPy, the return value is
the same (a tu... | [
"Return",
"the",
"*",
"integer",
"*",
"indices",
"of",
"the",
"elements",
"that",
"are",
"non",
"-",
"zero",
"."
] | python | train |
rbarrois/restricted_pkg | restricted_pkg/base.py | https://github.com/rbarrois/restricted_pkg/blob/abbd3cb33ed85af02fbb531fd85dda9c1b070c85/restricted_pkg/base.py#L137-L146 | def prompt_auth(self):
"""Prompt the user for login/pass, if needed."""
if self.username and self.password:
return
sys.stdout.write("Please insert your credentials for %s\n" % self.url.base_url)
while not self.username:
self.username = raw_input("Username [%s]: " ... | [
"def",
"prompt_auth",
"(",
"self",
")",
":",
"if",
"self",
".",
"username",
"and",
"self",
".",
"password",
":",
"return",
"sys",
".",
"stdout",
".",
"write",
"(",
"\"Please insert your credentials for %s\\n\"",
"%",
"self",
".",
"url",
".",
"base_url",
")",... | Prompt the user for login/pass, if needed. | [
"Prompt",
"the",
"user",
"for",
"login",
"/",
"pass",
"if",
"needed",
"."
] | python | train |
pydanny-archive/django-uni-form | uni_form/layout.py | https://github.com/pydanny-archive/django-uni-form/blob/159f539e2fb98752b7964d75e955fc62881c28fb/uni_form/layout.py#L95-L99 | def render(self, form, form_style, context):
"""
Renders an `<input />` if container is used as a Layout object
"""
return render_to_string(self.template, Context({'input': self})) | [
"def",
"render",
"(",
"self",
",",
"form",
",",
"form_style",
",",
"context",
")",
":",
"return",
"render_to_string",
"(",
"self",
".",
"template",
",",
"Context",
"(",
"{",
"'input'",
":",
"self",
"}",
")",
")"
] | Renders an `<input />` if container is used as a Layout object | [
"Renders",
"an",
"<input",
"/",
">",
"if",
"container",
"is",
"used",
"as",
"a",
"Layout",
"object"
] | python | train |
spotify/luigi | luigi/contrib/hdfs/snakebite_client.py | https://github.com/spotify/luigi/blob/c5eca1c3c3ee2a7eb612486192a0da146710a1e9/luigi/contrib/hdfs/snakebite_client.py#L110-L126 | def rename_dont_move(self, path, dest):
"""
Use snakebite.rename_dont_move, if available.
:param path: source path (single input)
:type path: string
:param dest: destination path
:type dest: string
:return: True if succeeded
:raises: snakebite.errors.File... | [
"def",
"rename_dont_move",
"(",
"self",
",",
"path",
",",
"dest",
")",
":",
"from",
"snakebite",
".",
"errors",
"import",
"FileAlreadyExistsException",
"try",
":",
"self",
".",
"get_bite",
"(",
")",
".",
"rename2",
"(",
"path",
",",
"dest",
",",
"overwrite... | Use snakebite.rename_dont_move, if available.
:param path: source path (single input)
:type path: string
:param dest: destination path
:type dest: string
:return: True if succeeded
:raises: snakebite.errors.FileAlreadyExistsException | [
"Use",
"snakebite",
".",
"rename_dont_move",
"if",
"available",
"."
] | python | train |
cloud9ers/gurumate | environment/lib/python2.7/site-packages/nose/config.py | https://github.com/cloud9ers/gurumate/blob/075dc74d1ee62a8c6b7a8bf2b271364f01629d1e/environment/lib/python2.7/site-packages/nose/config.py#L423-L568 | def getParser(self, doc=None):
"""Get the command line option parser.
"""
if self.parser:
return self.parser
env = self.env
parser = self.parserClass(doc)
parser.add_option(
"-V","--version", action="store_true",
dest="version", default... | [
"def",
"getParser",
"(",
"self",
",",
"doc",
"=",
"None",
")",
":",
"if",
"self",
".",
"parser",
":",
"return",
"self",
".",
"parser",
"env",
"=",
"self",
".",
"env",
"parser",
"=",
"self",
".",
"parserClass",
"(",
"doc",
")",
"parser",
".",
"add_o... | Get the command line option parser. | [
"Get",
"the",
"command",
"line",
"option",
"parser",
"."
] | python | test |
Contraz/demosys-py | demosys/timers/clock.py | https://github.com/Contraz/demosys-py/blob/6466128a3029c4d09631420ccce73024025bd5b6/demosys/timers/clock.py#L57-L69 | def get_time(self) -> float:
"""
Get the current time in seconds
Returns:
The current time in seconds
"""
if self.pause_time is not None:
curr_time = self.pause_time - self.offset - self.start_time
return curr_time
curr_time = time.ti... | [
"def",
"get_time",
"(",
"self",
")",
"->",
"float",
":",
"if",
"self",
".",
"pause_time",
"is",
"not",
"None",
":",
"curr_time",
"=",
"self",
".",
"pause_time",
"-",
"self",
".",
"offset",
"-",
"self",
".",
"start_time",
"return",
"curr_time",
"curr_time... | Get the current time in seconds
Returns:
The current time in seconds | [
"Get",
"the",
"current",
"time",
"in",
"seconds"
] | python | valid |
bitesofcode/projexui | projexui/widgets/xloggerwidget/xloggerwidget.py | https://github.com/bitesofcode/projexui/blob/f18a73bec84df90b034ca69b9deea118dbedfc4d/projexui/widgets/xloggerwidget/xloggerwidget.py#L479-L486 | def setConfigurable(self, state):
"""
Sets whether or not this logger widget is configurable.
:param state | <bool>
"""
self._configurable = state
self._configButton.setVisible(state) | [
"def",
"setConfigurable",
"(",
"self",
",",
"state",
")",
":",
"self",
".",
"_configurable",
"=",
"state",
"self",
".",
"_configButton",
".",
"setVisible",
"(",
"state",
")"
] | Sets whether or not this logger widget is configurable.
:param state | <bool> | [
"Sets",
"whether",
"or",
"not",
"this",
"logger",
"widget",
"is",
"configurable",
".",
":",
"param",
"state",
"|",
"<bool",
">"
] | python | train |
fishtown-analytics/dbt | plugins/bigquery/dbt/adapters/bigquery/impl.py | https://github.com/fishtown-analytics/dbt/blob/aa4f771df28b307af0cf9fe2fc24432f10a8236b/plugins/bigquery/dbt/adapters/bigquery/impl.py#L196-L207 | def _get_dbt_columns_from_bq_table(self, table):
"Translates BQ SchemaField dicts into dbt BigQueryColumn objects"
columns = []
for col in table.schema:
# BigQuery returns type labels that are not valid type specifiers
dtype = self.Column.translate_type(col.field_type)
... | [
"def",
"_get_dbt_columns_from_bq_table",
"(",
"self",
",",
"table",
")",
":",
"columns",
"=",
"[",
"]",
"for",
"col",
"in",
"table",
".",
"schema",
":",
"# BigQuery returns type labels that are not valid type specifiers",
"dtype",
"=",
"self",
".",
"Column",
".",
... | Translates BQ SchemaField dicts into dbt BigQueryColumn objects | [
"Translates",
"BQ",
"SchemaField",
"dicts",
"into",
"dbt",
"BigQueryColumn",
"objects"
] | python | train |
openstack/proliantutils | proliantutils/redfish/redfish.py | https://github.com/openstack/proliantutils/blob/86ef3b47b4eca97c221577e3570b0240d6a25f22/proliantutils/redfish/redfish.py#L269-L282 | def press_pwr_btn(self):
"""Simulates a physical press of the server power button.
:raises: IloError, on an error from iLO.
"""
sushy_system = self._get_sushy_system(PROLIANT_SYSTEM_ID)
try:
sushy_system.push_power_button(sys_cons.PUSH_POWER_BUTTON_PRESS)
exc... | [
"def",
"press_pwr_btn",
"(",
"self",
")",
":",
"sushy_system",
"=",
"self",
".",
"_get_sushy_system",
"(",
"PROLIANT_SYSTEM_ID",
")",
"try",
":",
"sushy_system",
".",
"push_power_button",
"(",
"sys_cons",
".",
"PUSH_POWER_BUTTON_PRESS",
")",
"except",
"sushy",
"."... | Simulates a physical press of the server power button.
:raises: IloError, on an error from iLO. | [
"Simulates",
"a",
"physical",
"press",
"of",
"the",
"server",
"power",
"button",
"."
] | python | train |
cokelaer/spectrum | src/spectrum/yulewalker.py | https://github.com/cokelaer/spectrum/blob/bad6c32e3f10e185098748f67bb421b378b06afe/src/spectrum/yulewalker.py#L23-L116 | def aryule(X, order, norm='biased', allow_singularity=True):
r"""Compute AR coefficients using Yule-Walker method
:param X: Array of complex data values, X(1) to X(N)
:param int order: Order of autoregressive process to be fitted (integer)
:param str norm: Use a biased or unbiased correlation.
:par... | [
"def",
"aryule",
"(",
"X",
",",
"order",
",",
"norm",
"=",
"'biased'",
",",
"allow_singularity",
"=",
"True",
")",
":",
"assert",
"norm",
"in",
"[",
"'biased'",
",",
"'unbiased'",
"]",
"r",
"=",
"CORRELATION",
"(",
"X",
",",
"maxlags",
"=",
"order",
... | r"""Compute AR coefficients using Yule-Walker method
:param X: Array of complex data values, X(1) to X(N)
:param int order: Order of autoregressive process to be fitted (integer)
:param str norm: Use a biased or unbiased correlation.
:param bool allow_singularity:
:return:
* AR coefficient... | [
"r",
"Compute",
"AR",
"coefficients",
"using",
"Yule",
"-",
"Walker",
"method"
] | python | valid |
gwastro/pycbc | pycbc/filter/matchedfilter.py | https://github.com/gwastro/pycbc/blob/7a64cdd104d263f1b6ea0b01e6841837d05a4cb3/pycbc/filter/matchedfilter.py#L1318-L1364 | def match(vec1, vec2, psd=None, low_frequency_cutoff=None,
high_frequency_cutoff=None, v1_norm=None, v2_norm=None):
""" Return the match between the two TimeSeries or FrequencySeries.
Return the match between two waveforms. This is equivelant to the overlap
maximized over time and phase.
Par... | [
"def",
"match",
"(",
"vec1",
",",
"vec2",
",",
"psd",
"=",
"None",
",",
"low_frequency_cutoff",
"=",
"None",
",",
"high_frequency_cutoff",
"=",
"None",
",",
"v1_norm",
"=",
"None",
",",
"v2_norm",
"=",
"None",
")",
":",
"htilde",
"=",
"make_frequency_serie... | Return the match between the two TimeSeries or FrequencySeries.
Return the match between two waveforms. This is equivelant to the overlap
maximized over time and phase.
Parameters
----------
vec1 : TimeSeries or FrequencySeries
The input vector containing a waveform.
vec2 : TimeSeries ... | [
"Return",
"the",
"match",
"between",
"the",
"two",
"TimeSeries",
"or",
"FrequencySeries",
"."
] | python | train |
skymill/automated-ebs-snapshots | automated_ebs_snapshots/volume_manager.py | https://github.com/skymill/automated-ebs-snapshots/blob/9595bc49d458f6ffb93430722757d2284e878fab/automated_ebs_snapshots/volume_manager.py#L210-L222 | def unwatch_from_file(connection, file_name):
""" Start watching a new volume
:type connection: boto.ec2.connection.EC2Connection
:param connection: EC2 connection object
:type file_name: str
:param file_name: path to config file
:returns: None
"""
with open(file_name, 'r') as filehandl... | [
"def",
"unwatch_from_file",
"(",
"connection",
",",
"file_name",
")",
":",
"with",
"open",
"(",
"file_name",
",",
"'r'",
")",
"as",
"filehandle",
":",
"for",
"line",
"in",
"filehandle",
".",
"xreadlines",
"(",
")",
":",
"volume",
",",
"interval",
",",
"r... | Start watching a new volume
:type connection: boto.ec2.connection.EC2Connection
:param connection: EC2 connection object
:type file_name: str
:param file_name: path to config file
:returns: None | [
"Start",
"watching",
"a",
"new",
"volume"
] | python | train |
ARMmbed/mbed-cloud-sdk-python | src/mbed_cloud/_backends/iam/apis/aggregator_account_admin_api.py | https://github.com/ARMmbed/mbed-cloud-sdk-python/blob/c0af86fb2cdd4dc7ed26f236139241067d293509/src/mbed_cloud/_backends/iam/apis/aggregator_account_admin_api.py#L1744-L1765 | def get_account_certificate(self, account_id, cert_id, **kwargs): # noqa: E501
"""Get trusted certificate by ID. # noqa: E501
An endpoint for retrieving a trusted certificate by ID. **Example usage:** `curl https://api.us-east-1.mbedcloud.com/v3/accounts/{accountID}/trusted-certificates/{cert-id} -... | [
"def",
"get_account_certificate",
"(",
"self",
",",
"account_id",
",",
"cert_id",
",",
"*",
"*",
"kwargs",
")",
":",
"# noqa: E501",
"kwargs",
"[",
"'_return_http_data_only'",
"]",
"=",
"True",
"if",
"kwargs",
".",
"get",
"(",
"'asynchronous'",
")",
":",
"re... | Get trusted certificate by ID. # noqa: E501
An endpoint for retrieving a trusted certificate by ID. **Example usage:** `curl https://api.us-east-1.mbedcloud.com/v3/accounts/{accountID}/trusted-certificates/{cert-id} -H 'Authorization: Bearer API_KEY'` # noqa: E501
This method makes a synchronous HT... | [
"Get",
"trusted",
"certificate",
"by",
"ID",
".",
"#",
"noqa",
":",
"E501"
] | python | train |
saltstack/salt | salt/modules/vboxmanage.py | https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/modules/vboxmanage.py#L404-L494 | def clonemedium(medium,
uuid_in=None,
file_in=None,
uuid_out=None,
file_out=None,
mformat=None,
variant=None,
existing=False,
**kwargs):
'''
Clone a new VM from an existing VM
CLI... | [
"def",
"clonemedium",
"(",
"medium",
",",
"uuid_in",
"=",
"None",
",",
"file_in",
"=",
"None",
",",
"uuid_out",
"=",
"None",
",",
"file_out",
"=",
"None",
",",
"mformat",
"=",
"None",
",",
"variant",
"=",
"None",
",",
"existing",
"=",
"False",
",",
"... | Clone a new VM from an existing VM
CLI Example:
.. code-block:: bash
salt 'hypervisor' vboxmanage.clonemedium <name> <new_name> | [
"Clone",
"a",
"new",
"VM",
"from",
"an",
"existing",
"VM"
] | python | train |
RedFantom/ttkwidgets | ttkwidgets/itemscanvas.py | https://github.com/RedFantom/ttkwidgets/blob/02150322060f867b6e59a175522ef84b09168019/ttkwidgets/itemscanvas.py#L220-L243 | def cget(self, key):
"""
Query widget option.
:param key: option name
:type key: str
:return: value of the option
To get the list of options for this widget, call the method :meth:`~ItemsCanvas.keys`.
"""
if key is "canvaswidth":
return self.... | [
"def",
"cget",
"(",
"self",
",",
"key",
")",
":",
"if",
"key",
"is",
"\"canvaswidth\"",
":",
"return",
"self",
".",
"_canvaswidth",
"elif",
"key",
"is",
"\"canvasheight\"",
":",
"return",
"self",
".",
"_canvasheight",
"elif",
"key",
"is",
"\"function_new\"",... | Query widget option.
:param key: option name
:type key: str
:return: value of the option
To get the list of options for this widget, call the method :meth:`~ItemsCanvas.keys`. | [
"Query",
"widget",
"option",
"."
] | python | train |
ga4gh/ga4gh-client | ga4gh/client/client.py | https://github.com/ga4gh/ga4gh-client/blob/d23b00b89112ef0930d45ee75aa3c6de3db615c5/ga4gh/client/client.py#L814-L826 | def search_rna_quantifications(self, rna_quantification_set_id=""):
"""
Returns an iterator over the RnaQuantification objects from the server
:param str rna_quantification_set_id: The ID of the
:class:`ga4gh.protocol.RnaQuantificationSet` of interest.
"""
request = ... | [
"def",
"search_rna_quantifications",
"(",
"self",
",",
"rna_quantification_set_id",
"=",
"\"\"",
")",
":",
"request",
"=",
"protocol",
".",
"SearchRnaQuantificationsRequest",
"(",
")",
"request",
".",
"rna_quantification_set_id",
"=",
"rna_quantification_set_id",
"request... | Returns an iterator over the RnaQuantification objects from the server
:param str rna_quantification_set_id: The ID of the
:class:`ga4gh.protocol.RnaQuantificationSet` of interest. | [
"Returns",
"an",
"iterator",
"over",
"the",
"RnaQuantification",
"objects",
"from",
"the",
"server"
] | python | train |
Diviyan-Kalainathan/CausalDiscoveryToolbox | cdt/utils/graph.py | https://github.com/Diviyan-Kalainathan/CausalDiscoveryToolbox/blob/be228b078ba9eb76c01b3ccba9a1c0ad9e9e5ed1/cdt/utils/graph.py#L176-L213 | def aracne(m, **kwargs):
"""Implementation of the ARACNE algorithm.
Args:
mat (numpy.ndarray): matrix, if it is a square matrix, the program assumes
it is a relevance matrix where mat(i,j) represents the similarity content
between nodes i and j. Elements of matrix should be
non-... | [
"def",
"aracne",
"(",
"m",
",",
"*",
"*",
"kwargs",
")",
":",
"I0",
"=",
"kwargs",
".",
"get",
"(",
"'I0'",
",",
"0.0",
")",
"# No default thresholding",
"W0",
"=",
"kwargs",
".",
"get",
"(",
"'W0'",
",",
"0.05",
")",
"# thresholding",
"m",
"=",
"n... | Implementation of the ARACNE algorithm.
Args:
mat (numpy.ndarray): matrix, if it is a square matrix, the program assumes
it is a relevance matrix where mat(i,j) represents the similarity content
between nodes i and j. Elements of matrix should be
non-negative.
Returns:
mat_... | [
"Implementation",
"of",
"the",
"ARACNE",
"algorithm",
"."
] | python | valid |
boriel/zxbasic | zxb.py | https://github.com/boriel/zxbasic/blob/23b28db10e41117805bdb3c0f78543590853b132/zxb.py#L74-L351 | def main(args=None):
""" Entry point when executed from command line.
You can use zxb.py as a module with import, and this
function won't be executed.
"""
api.config.init()
zxbpp.init()
zxbparser.init()
arch.zx48k.backend.init()
arch.zx48k.Translator.reset()
asmparse.init()
... | [
"def",
"main",
"(",
"args",
"=",
"None",
")",
":",
"api",
".",
"config",
".",
"init",
"(",
")",
"zxbpp",
".",
"init",
"(",
")",
"zxbparser",
".",
"init",
"(",
")",
"arch",
".",
"zx48k",
".",
"backend",
".",
"init",
"(",
")",
"arch",
".",
"zx48k... | Entry point when executed from command line.
You can use zxb.py as a module with import, and this
function won't be executed. | [
"Entry",
"point",
"when",
"executed",
"from",
"command",
"line",
".",
"You",
"can",
"use",
"zxb",
".",
"py",
"as",
"a",
"module",
"with",
"import",
"and",
"this",
"function",
"won",
"t",
"be",
"executed",
"."
] | python | train |
deepmipt/DeepPavlov | deeppavlov/metrics/squad_metrics.py | https://github.com/deepmipt/DeepPavlov/blob/f3e4a69a3764d25d2f5bad4f1f1aebc872b00f9c/deeppavlov/metrics/squad_metrics.py#L68-L100 | def squad_v2_f1(y_true: List[List[str]], y_predicted: List[str]) -> float:
""" Calculates F-1 score between y_true and y_predicted
F-1 score uses the best matching y_true answer
The same as in SQuAD-v2.0
Args:
y_true: list of correct answers (correct answers are represented by list of stri... | [
"def",
"squad_v2_f1",
"(",
"y_true",
":",
"List",
"[",
"List",
"[",
"str",
"]",
"]",
",",
"y_predicted",
":",
"List",
"[",
"str",
"]",
")",
"->",
"float",
":",
"f1_total",
"=",
"0.0",
"for",
"ground_truth",
",",
"prediction",
"in",
"zip",
"(",
"y_tru... | Calculates F-1 score between y_true and y_predicted
F-1 score uses the best matching y_true answer
The same as in SQuAD-v2.0
Args:
y_true: list of correct answers (correct answers are represented by list of strings)
y_predicted: list of predicted answers
Returns:
F-1 score... | [
"Calculates",
"F",
"-",
"1",
"score",
"between",
"y_true",
"and",
"y_predicted",
"F",
"-",
"1",
"score",
"uses",
"the",
"best",
"matching",
"y_true",
"answer"
] | python | test |
Yipit/eventlib | eventlib/listener.py | https://github.com/Yipit/eventlib/blob/0cf29e5251a59fcbfc727af5f5157a3bb03832e2/eventlib/listener.py#L21-L37 | def listen_for_events():
"""Pubsub event listener
Listen for events in the pubsub bus and calls the process function
when somebody comes to play.
"""
import_event_modules()
conn = redis_connection.get_connection()
pubsub = conn.pubsub()
pubsub.subscribe("eventlib")
for message in pu... | [
"def",
"listen_for_events",
"(",
")",
":",
"import_event_modules",
"(",
")",
"conn",
"=",
"redis_connection",
".",
"get_connection",
"(",
")",
"pubsub",
"=",
"conn",
".",
"pubsub",
"(",
")",
"pubsub",
".",
"subscribe",
"(",
"\"eventlib\"",
")",
"for",
"messa... | Pubsub event listener
Listen for events in the pubsub bus and calls the process function
when somebody comes to play. | [
"Pubsub",
"event",
"listener"
] | python | train |
Spinmob/spinmob | _pylab_tweaks.py | https://github.com/Spinmob/spinmob/blob/f037f5df07f194bcd4a01f4d9916e57b9e8fb45a/_pylab_tweaks.py#L472-L506 | def image_neighbor_smooth(xlevel=0.2, ylevel=0.2, image="auto"):
"""
This will bleed nearest neighbor pixels into each other with
the specified weight factors.
"""
if image == "auto": image = _pylab.gca().images[0]
Z = _n.array(image.get_array())
# store this image in the undo list
glo... | [
"def",
"image_neighbor_smooth",
"(",
"xlevel",
"=",
"0.2",
",",
"ylevel",
"=",
"0.2",
",",
"image",
"=",
"\"auto\"",
")",
":",
"if",
"image",
"==",
"\"auto\"",
":",
"image",
"=",
"_pylab",
".",
"gca",
"(",
")",
".",
"images",
"[",
"0",
"]",
"Z",
"=... | This will bleed nearest neighbor pixels into each other with
the specified weight factors. | [
"This",
"will",
"bleed",
"nearest",
"neighbor",
"pixels",
"into",
"each",
"other",
"with",
"the",
"specified",
"weight",
"factors",
"."
] | python | train |
kmmbvnr/django-any | django_any/models.py | https://github.com/kmmbvnr/django-any/blob/6f64ebd05476e2149e2e71deeefbb10f8edfc412/django_any/models.py#L213-L235 | def any_file_field(field, **kwargs):
"""
Lookup for nearest existing file
"""
def get_some_file(path):
subdirs, files = field.storage.listdir(path)
if files:
result_file = random.choice(files)
instance = field.storage.open("%s/%s" % (path, result_file)... | [
"def",
"any_file_field",
"(",
"field",
",",
"*",
"*",
"kwargs",
")",
":",
"def",
"get_some_file",
"(",
"path",
")",
":",
"subdirs",
",",
"files",
"=",
"field",
".",
"storage",
".",
"listdir",
"(",
"path",
")",
"if",
"files",
":",
"result_file",
"=",
... | Lookup for nearest existing file | [
"Lookup",
"for",
"nearest",
"existing",
"file"
] | python | test |
deontologician/restnavigator | restnavigator/utils.py | https://github.com/deontologician/restnavigator/blob/453b9de4e70e602009d3e3ffafcf77d23c8b07c5/restnavigator/utils.py#L205-L216 | def get_by(self, prop, val, raise_exc=False):
'''Retrieve an item from the dictionary with the given metadata
properties. If there is no such item, None will be returned, if there
are multiple such items, the first will be returned.'''
try:
val = self.serialize(val)
... | [
"def",
"get_by",
"(",
"self",
",",
"prop",
",",
"val",
",",
"raise_exc",
"=",
"False",
")",
":",
"try",
":",
"val",
"=",
"self",
".",
"serialize",
"(",
"val",
")",
"return",
"self",
".",
"_meta",
"[",
"prop",
"]",
"[",
"val",
"]",
"[",
"0",
"]"... | Retrieve an item from the dictionary with the given metadata
properties. If there is no such item, None will be returned, if there
are multiple such items, the first will be returned. | [
"Retrieve",
"an",
"item",
"from",
"the",
"dictionary",
"with",
"the",
"given",
"metadata",
"properties",
".",
"If",
"there",
"is",
"no",
"such",
"item",
"None",
"will",
"be",
"returned",
"if",
"there",
"are",
"multiple",
"such",
"items",
"the",
"first",
"w... | python | train |
mitsei/dlkit | dlkit/json_/assessment/objects.py | https://github.com/mitsei/dlkit/blob/445f968a175d61c8d92c0f617a3c17dc1dc7c584/dlkit/json_/assessment/objects.py#L3042-L3058 | def get_assessment_taken(self):
"""Gets the ``AssessmentTakeb``.
return: (osid.assessment.AssessmentTaken) - the assessment taken
raise: OperationFailed - unable to complete request
*compliance: mandatory -- This method must be implemented.*
"""
# Implemented from temp... | [
"def",
"get_assessment_taken",
"(",
"self",
")",
":",
"# Implemented from template for osid.learning.Activity.get_objective",
"if",
"not",
"bool",
"(",
"self",
".",
"_my_map",
"[",
"'assessmentTakenId'",
"]",
")",
":",
"raise",
"errors",
".",
"IllegalState",
"(",
"'as... | Gets the ``AssessmentTakeb``.
return: (osid.assessment.AssessmentTaken) - the assessment taken
raise: OperationFailed - unable to complete request
*compliance: mandatory -- This method must be implemented.* | [
"Gets",
"the",
"AssessmentTakeb",
"."
] | python | train |
pybel/pybel | src/pybel/manager/cache_manager.py | https://github.com/pybel/pybel/blob/c8a7a1bdae4c475fa2a8c77f3a9a5f6d79556ca0/src/pybel/manager/cache_manager.py#L1175-L1189 | def _make_property_from_dict(self, property_def: Dict) -> Property:
"""Build an edge property from a dictionary."""
property_hash = hash_dump(property_def)
edge_property_model = self.object_cache_property.get(property_hash)
if edge_property_model is None:
edge_property_model... | [
"def",
"_make_property_from_dict",
"(",
"self",
",",
"property_def",
":",
"Dict",
")",
"->",
"Property",
":",
"property_hash",
"=",
"hash_dump",
"(",
"property_def",
")",
"edge_property_model",
"=",
"self",
".",
"object_cache_property",
".",
"get",
"(",
"property_... | Build an edge property from a dictionary. | [
"Build",
"an",
"edge",
"property",
"from",
"a",
"dictionary",
"."
] | python | train |
minrk/findspark | findspark.py | https://github.com/minrk/findspark/blob/20c945d5136269ca56b1341786c49087faa7c75e/findspark.py#L68-L98 | def edit_ipython_profile(spark_home, spark_python, py4j):
"""Adds a startup file to the current IPython profile to import pyspark.
The startup file sets the required environment variables and imports pyspark.
Parameters
----------
spark_home : str
Path to Spark installation.
spark_pyth... | [
"def",
"edit_ipython_profile",
"(",
"spark_home",
",",
"spark_python",
",",
"py4j",
")",
":",
"from",
"IPython",
"import",
"get_ipython",
"ip",
"=",
"get_ipython",
"(",
")",
"if",
"ip",
":",
"profile_dir",
"=",
"ip",
".",
"profile_dir",
".",
"location",
"els... | Adds a startup file to the current IPython profile to import pyspark.
The startup file sets the required environment variables and imports pyspark.
Parameters
----------
spark_home : str
Path to Spark installation.
spark_python : str
Path to python subdirectory of Spark installatio... | [
"Adds",
"a",
"startup",
"file",
"to",
"the",
"current",
"IPython",
"profile",
"to",
"import",
"pyspark",
"."
] | python | train |
cslarsen/crianza | crianza/tokenizer.py | https://github.com/cslarsen/crianza/blob/fa044f9d491f37cc06892bad14b2c80b8ac5a7cd/crianza/tokenizer.py#L141-L152 | def tokentype(self, s):
"""Parses string and returns a (Tokenizer.TYPE, value) tuple."""
a = s[0] if len(s)>0 else ""
b = s[1] if len(s)>1 else ""
if a.isdigit() or (a in ["+","-"] and b.isdigit()):
return self.parse_number(s)
elif a == '"': return self.parse_string(... | [
"def",
"tokentype",
"(",
"self",
",",
"s",
")",
":",
"a",
"=",
"s",
"[",
"0",
"]",
"if",
"len",
"(",
"s",
")",
">",
"0",
"else",
"\"\"",
"b",
"=",
"s",
"[",
"1",
"]",
"if",
"len",
"(",
"s",
")",
">",
"1",
"else",
"\"\"",
"if",
"a",
".",... | Parses string and returns a (Tokenizer.TYPE, value) tuple. | [
"Parses",
"string",
"and",
"returns",
"a",
"(",
"Tokenizer",
".",
"TYPE",
"value",
")",
"tuple",
"."
] | python | train |
fracpete/python-weka-wrapper3 | python/weka/core/converters.py | https://github.com/fracpete/python-weka-wrapper3/blob/d850ab1bdb25fbd5a8d86e99f34a397975425838/python/weka/core/converters.py#L299-L340 | def ndarray_to_instances(array, relation, att_template="Att-#", att_list=None):
"""
Converts the numpy matrix into an Instances object and returns it.
:param array: the numpy ndarray to convert
:type array: numpy.darray
:param relation: the name of the dataset
:type relation: str
:param att... | [
"def",
"ndarray_to_instances",
"(",
"array",
",",
"relation",
",",
"att_template",
"=",
"\"Att-#\"",
",",
"att_list",
"=",
"None",
")",
":",
"if",
"len",
"(",
"numpy",
".",
"shape",
"(",
"array",
")",
")",
"!=",
"2",
":",
"raise",
"Exception",
"(",
"\"... | Converts the numpy matrix into an Instances object and returns it.
:param array: the numpy ndarray to convert
:type array: numpy.darray
:param relation: the name of the dataset
:type relation: str
:param att_template: the prefix to use for the attribute names, "#" is the 1-based index,
... | [
"Converts",
"the",
"numpy",
"matrix",
"into",
"an",
"Instances",
"object",
"and",
"returns",
"it",
"."
] | python | train |
rfosterslo/wagtailplus | wagtailplus/wagtailrelations/templatetags/wagtailrelations_tags.py | https://github.com/rfosterslo/wagtailplus/blob/22cac857175d8a6f77e470751831c14a92ccd768/wagtailplus/wagtailrelations/templatetags/wagtailrelations_tags.py#L33-L50 | def get_related_entry_admin_url(entry):
"""
Returns admin URL for specified entry instance.
:param entry: the entry instance.
:return: str.
"""
namespaces = {
Document: 'wagtaildocs:edit',
Link: 'wagtaillinks:edit',
Page: 'wagtailadmin_pages:edit',
}
... | [
"def",
"get_related_entry_admin_url",
"(",
"entry",
")",
":",
"namespaces",
"=",
"{",
"Document",
":",
"'wagtaildocs:edit'",
",",
"Link",
":",
"'wagtaillinks:edit'",
",",
"Page",
":",
"'wagtailadmin_pages:edit'",
",",
"}",
"for",
"cls",
",",
"url",
"in",
"namesp... | Returns admin URL for specified entry instance.
:param entry: the entry instance.
:return: str. | [
"Returns",
"admin",
"URL",
"for",
"specified",
"entry",
"instance",
"."
] | python | train |
DataONEorg/d1_python | lib_common/src/d1_common/type_conversions.py | https://github.com/DataONEorg/d1_python/blob/3ac4d4f3ca052d3e8641a6a329cab526c8ddcb0d/lib_common/src/d1_common/type_conversions.py#L455-L468 | def pyxb_is_v1(pyxb_obj):
"""
Args:
pyxb_obj : PyXB object
PyXB object holding an unknown type.
Returns:
bool: **True** if ``pyxb_obj`` holds an API v1 type.
"""
# TODO: Will not detect v1.2 as v1.
return (
pyxb_obj._element().name().namespace()
== d1_common.types.dataon... | [
"def",
"pyxb_is_v1",
"(",
"pyxb_obj",
")",
":",
"# TODO: Will not detect v1.2 as v1.",
"return",
"(",
"pyxb_obj",
".",
"_element",
"(",
")",
".",
"name",
"(",
")",
".",
"namespace",
"(",
")",
"==",
"d1_common",
".",
"types",
".",
"dataoneTypes_v1",
".",
"Nam... | Args:
pyxb_obj : PyXB object
PyXB object holding an unknown type.
Returns:
bool: **True** if ``pyxb_obj`` holds an API v1 type. | [
"Args",
":",
"pyxb_obj",
":",
"PyXB",
"object",
"PyXB",
"object",
"holding",
"an",
"unknown",
"type",
"."
] | python | train |
bkg/django-spillway | spillway/query.py | https://github.com/bkg/django-spillway/blob/c488a62642430b005f1e0d4a19e160d8d5964b67/spillway/query.py#L161-L175 | def arrays(self, field_name=None):
"""Returns a list of ndarrays.
Keyword args:
field_name -- raster field name as str
"""
fieldname = field_name or self.raster_field.name
arrays = []
for obj in self:
arr = getattr(obj, fieldname)
if isins... | [
"def",
"arrays",
"(",
"self",
",",
"field_name",
"=",
"None",
")",
":",
"fieldname",
"=",
"field_name",
"or",
"self",
".",
"raster_field",
".",
"name",
"arrays",
"=",
"[",
"]",
"for",
"obj",
"in",
"self",
":",
"arr",
"=",
"getattr",
"(",
"obj",
",",
... | Returns a list of ndarrays.
Keyword args:
field_name -- raster field name as str | [
"Returns",
"a",
"list",
"of",
"ndarrays",
"."
] | python | train |
kennethreitz/bucketstore | bucketstore.py | https://github.com/kennethreitz/bucketstore/blob/2d79584d44b9c422192d7fdf08a85a49addf83d5/bucketstore.py#L180-L186 | def temp_url(self, duration=120):
"""Returns a temporary URL for the given key."""
return self.bucket._boto_s3.meta.client.generate_presigned_url(
'get_object',
Params={'Bucket': self.bucket.name, 'Key': self.name},
ExpiresIn=duration
) | [
"def",
"temp_url",
"(",
"self",
",",
"duration",
"=",
"120",
")",
":",
"return",
"self",
".",
"bucket",
".",
"_boto_s3",
".",
"meta",
".",
"client",
".",
"generate_presigned_url",
"(",
"'get_object'",
",",
"Params",
"=",
"{",
"'Bucket'",
":",
"self",
"."... | Returns a temporary URL for the given key. | [
"Returns",
"a",
"temporary",
"URL",
"for",
"the",
"given",
"key",
"."
] | python | train |
OSSOS/MOP | src/jjk/preproc/verifyDetection.py | https://github.com/OSSOS/MOP/blob/94f91d32ad5ec081d5a1ebd67604a838003465af/src/jjk/preproc/verifyDetection.py#L34-L43 | def get_file_ids(object):
"""Get the exposure for a particular line in the meausre table"""
import MOPdbaccess
mysql = MOPdbaccess.connect('cfeps','cfhls',dbSystem='MYSQL')
cfeps=mysql.cursor()
sql="SELECT file_id FROM measure WHERE provisional LIKE %s"
cfeps.execute(sql,(object, ))
file_ids... | [
"def",
"get_file_ids",
"(",
"object",
")",
":",
"import",
"MOPdbaccess",
"mysql",
"=",
"MOPdbaccess",
".",
"connect",
"(",
"'cfeps'",
",",
"'cfhls'",
",",
"dbSystem",
"=",
"'MYSQL'",
")",
"cfeps",
"=",
"mysql",
".",
"cursor",
"(",
")",
"sql",
"=",
"\"SEL... | Get the exposure for a particular line in the meausre table | [
"Get",
"the",
"exposure",
"for",
"a",
"particular",
"line",
"in",
"the",
"meausre",
"table"
] | python | train |
QuantEcon/QuantEcon.py | quantecon/optimize/root_finding.py | https://github.com/QuantEcon/QuantEcon.py/blob/26a66c552f2a73967d7efb6e1f4b4c4985a12643/quantecon/optimize/root_finding.py#L297-L374 | def bisect(f, a, b, args=(), xtol=_xtol,
rtol=_rtol, maxiter=_iter, disp=True):
"""
Find root of a function within an interval adapted from Scipy's bisect.
Basic bisection routine to find a zero of the function `f` between the
arguments `a` and `b`. `f(a)` and `f(b)` cannot have the same sig... | [
"def",
"bisect",
"(",
"f",
",",
"a",
",",
"b",
",",
"args",
"=",
"(",
")",
",",
"xtol",
"=",
"_xtol",
",",
"rtol",
"=",
"_rtol",
",",
"maxiter",
"=",
"_iter",
",",
"disp",
"=",
"True",
")",
":",
"if",
"xtol",
"<=",
"0",
":",
"raise",
"ValueEr... | Find root of a function within an interval adapted from Scipy's bisect.
Basic bisection routine to find a zero of the function `f` between the
arguments `a` and `b`. `f(a)` and `f(b)` cannot have the same signs.
`f` must be jitted via numba.
Parameters
----------
f : jitted and callable
... | [
"Find",
"root",
"of",
"a",
"function",
"within",
"an",
"interval",
"adapted",
"from",
"Scipy",
"s",
"bisect",
"."
] | python | train |
OTL/jps | jps/security.py | https://github.com/OTL/jps/blob/2c5a438d59611fffca6853072c822ef22665ed87/jps/security.py#L37-L41 | def set_client_key(self, zmq_socket, client_secret_key_path, server_public_key_path):
'''must call before bind'''
load_and_set_key(zmq_socket, client_secret_key_path)
server_public, _ = zmq.auth.load_certificate(server_public_key_path)
zmq_socket.curve_serverkey = server_public | [
"def",
"set_client_key",
"(",
"self",
",",
"zmq_socket",
",",
"client_secret_key_path",
",",
"server_public_key_path",
")",
":",
"load_and_set_key",
"(",
"zmq_socket",
",",
"client_secret_key_path",
")",
"server_public",
",",
"_",
"=",
"zmq",
".",
"auth",
".",
"lo... | must call before bind | [
"must",
"call",
"before",
"bind"
] | python | train |
jeffh/sniffer | sniffer/scanner/__init__.py | https://github.com/jeffh/sniffer/blob/8e4c3e77743aef08109ea0225b4a6536d4e60270/sniffer/scanner/__init__.py#L18-L31 | def _import(module, cls):
"""
A messy way to import library-specific classes.
TODO: I should really make a factory class or something, but I'm lazy.
Plus, factories remind me a lot of java...
"""
global Scanner
try:
cls = str(cls)
mod = __import__(str(module), globals(), loc... | [
"def",
"_import",
"(",
"module",
",",
"cls",
")",
":",
"global",
"Scanner",
"try",
":",
"cls",
"=",
"str",
"(",
"cls",
")",
"mod",
"=",
"__import__",
"(",
"str",
"(",
"module",
")",
",",
"globals",
"(",
")",
",",
"locals",
"(",
")",
",",
"[",
"... | A messy way to import library-specific classes.
TODO: I should really make a factory class or something, but I'm lazy.
Plus, factories remind me a lot of java... | [
"A",
"messy",
"way",
"to",
"import",
"library",
"-",
"specific",
"classes",
".",
"TODO",
":",
"I",
"should",
"really",
"make",
"a",
"factory",
"class",
"or",
"something",
"but",
"I",
"m",
"lazy",
".",
"Plus",
"factories",
"remind",
"me",
"a",
"lot",
"o... | python | train |
wummel/linkchecker | linkcheck/director/aggregator.py | https://github.com/wummel/linkchecker/blob/c2ce810c3fb00b895a841a7be6b2e78c64e7b042/linkcheck/director/aggregator.py#L134-L144 | def wait_for_host(self, host):
"""Throttle requests to one host."""
t = time.time()
if host in self.times:
due_time = self.times[host]
if due_time > t:
wait = due_time - t
time.sleep(wait)
t = time.time()
wait_time =... | [
"def",
"wait_for_host",
"(",
"self",
",",
"host",
")",
":",
"t",
"=",
"time",
".",
"time",
"(",
")",
"if",
"host",
"in",
"self",
".",
"times",
":",
"due_time",
"=",
"self",
".",
"times",
"[",
"host",
"]",
"if",
"due_time",
">",
"t",
":",
"wait",
... | Throttle requests to one host. | [
"Throttle",
"requests",
"to",
"one",
"host",
"."
] | python | train |
inasafe/inasafe | safe/gui/tools/shake_grid/shake_grid.py | https://github.com/inasafe/inasafe/blob/831d60abba919f6d481dc94a8d988cc205130724/safe/gui/tools/shake_grid/shake_grid.py#L493-L519 | def _run_command(self, command):
"""Run a command and raise any error as needed.
This is a simple runner for executing gdal commands.
:param command: A command string to be run.
:type command: str
:raises: Any exceptions will be propagated.
"""
try:
... | [
"def",
"_run_command",
"(",
"self",
",",
"command",
")",
":",
"try",
":",
"my_result",
"=",
"call",
"(",
"command",
",",
"shell",
"=",
"True",
")",
"del",
"my_result",
"except",
"CalledProcessError",
"as",
"e",
":",
"LOGGER",
".",
"exception",
"(",
"'Run... | Run a command and raise any error as needed.
This is a simple runner for executing gdal commands.
:param command: A command string to be run.
:type command: str
:raises: Any exceptions will be propagated. | [
"Run",
"a",
"command",
"and",
"raise",
"any",
"error",
"as",
"needed",
"."
] | python | train |
pgmpy/pgmpy | pgmpy/factors/distributions/GaussianDistribution.py | https://github.com/pgmpy/pgmpy/blob/9381a66aba3c3871d3ccd00672b148d17d63239e/pgmpy/factors/distributions/GaussianDistribution.py#L323-L362 | def copy(self):
"""
Return a copy of the distribution.
Returns
-------
GaussianDistribution: copy of the distribution
Examples
--------
>>> import numpy as np
>>> from pgmpy.factors.distributions import GaussianDistribution as GD
>>> gaus... | [
"def",
"copy",
"(",
"self",
")",
":",
"copy_distribution",
"=",
"GaussianDistribution",
"(",
"variables",
"=",
"self",
".",
"variables",
",",
"mean",
"=",
"self",
".",
"mean",
".",
"copy",
"(",
")",
",",
"cov",
"=",
"self",
".",
"covariance",
".",
"cop... | Return a copy of the distribution.
Returns
-------
GaussianDistribution: copy of the distribution
Examples
--------
>>> import numpy as np
>>> from pgmpy.factors.distributions import GaussianDistribution as GD
>>> gauss_dis = GD(variables=['x1', 'x2', 'x... | [
"Return",
"a",
"copy",
"of",
"the",
"distribution",
"."
] | python | train |
ksbg/sparklanes | sparklanes/_submit/submit.py | https://github.com/ksbg/sparklanes/blob/62e70892e6ae025be2f4c419f4afc34714d6884c/sparklanes/_submit/submit.py#L19-L47 | def _package_and_submit(args):
"""
Packages and submits a job, which is defined in a YAML file, to Spark.
Parameters
----------
args (List): Command-line arguments
"""
args = _parse_and_validate_args(args)
logging.debug(args)
dist = __make_tmp_dir()
try:
__package_depen... | [
"def",
"_package_and_submit",
"(",
"args",
")",
":",
"args",
"=",
"_parse_and_validate_args",
"(",
"args",
")",
"logging",
".",
"debug",
"(",
"args",
")",
"dist",
"=",
"__make_tmp_dir",
"(",
")",
"try",
":",
"__package_dependencies",
"(",
"dist_dir",
"=",
"d... | Packages and submits a job, which is defined in a YAML file, to Spark.
Parameters
----------
args (List): Command-line arguments | [
"Packages",
"and",
"submits",
"a",
"job",
"which",
"is",
"defined",
"in",
"a",
"YAML",
"file",
"to",
"Spark",
"."
] | python | train |
Rapptz/discord.py | discord/abc.py | https://github.com/Rapptz/discord.py/blob/05d4f7f9620ef33635d6ac965b26528e09cdaf5b/discord/abc.py#L488-L510 | async def delete(self, *, reason=None):
"""|coro|
Deletes the channel.
You must have :attr:`~.Permissions.manage_channels` permission to use this.
Parameters
-----------
reason: Optional[:class:`str`]
The reason for deleting this channel.
Shows ... | [
"async",
"def",
"delete",
"(",
"self",
",",
"*",
",",
"reason",
"=",
"None",
")",
":",
"await",
"self",
".",
"_state",
".",
"http",
".",
"delete_channel",
"(",
"self",
".",
"id",
",",
"reason",
"=",
"reason",
")"
] | |coro|
Deletes the channel.
You must have :attr:`~.Permissions.manage_channels` permission to use this.
Parameters
-----------
reason: Optional[:class:`str`]
The reason for deleting this channel.
Shows up on the audit log.
Raises
------... | [
"|coro|"
] | python | train |
tonioo/sievelib | sievelib/parser.py | https://github.com/tonioo/sievelib/blob/88822d1f1daf30ef3dd9ac74911301b0773ef3c8/sievelib/parser.py#L251-L285 | def __argument(self, ttype, tvalue):
"""Argument parsing method
This method acts as an entry point for 'argument' parsing.
Syntax:
string-list / number / tag
:param ttype: current token type
:param tvalue: current token value
:return: False if an error is e... | [
"def",
"__argument",
"(",
"self",
",",
"ttype",
",",
"tvalue",
")",
":",
"if",
"ttype",
"in",
"[",
"\"multiline\"",
",",
"\"string\"",
"]",
":",
"return",
"self",
".",
"__curcommand",
".",
"check_next_arg",
"(",
"\"string\"",
",",
"tvalue",
".",
"decode",
... | Argument parsing method
This method acts as an entry point for 'argument' parsing.
Syntax:
string-list / number / tag
:param ttype: current token type
:param tvalue: current token value
:return: False if an error is encountered, True otherwise | [
"Argument",
"parsing",
"method"
] | python | train |
tanghaibao/goatools | goatools/grouper/grprobj_init.py | https://github.com/tanghaibao/goatools/blob/407682e573a108864a79031f8ca19ee3bf377626/goatools/grouper/grprobj_init.py#L143-L155 | def get_go2nt(self, usr_go2nt):
"""Combine user namedtuple fields, GO object fields, and format_txt."""
gos_all = self.get_gos_all()
# Minimum set of namedtuple fields available for use with Sorter on grouped GO IDs
prt_flds_all = get_hdridx_flds() + self.gosubdag.prt_attr['flds']
... | [
"def",
"get_go2nt",
"(",
"self",
",",
"usr_go2nt",
")",
":",
"gos_all",
"=",
"self",
".",
"get_gos_all",
"(",
")",
"# Minimum set of namedtuple fields available for use with Sorter on grouped GO IDs",
"prt_flds_all",
"=",
"get_hdridx_flds",
"(",
")",
"+",
"self",
".",
... | Combine user namedtuple fields, GO object fields, and format_txt. | [
"Combine",
"user",
"namedtuple",
"fields",
"GO",
"object",
"fields",
"and",
"format_txt",
"."
] | python | train |
jingw/pyhdfs | pyhdfs.py | https://github.com/jingw/pyhdfs/blob/b382b34f7cb28b41559f5be73102beb1732cd933/pyhdfs.py#L433-L445 | def append(self, path, data, **kwargs):
"""Append to the given file.
:param data: ``bytes`` or a ``file``-like object
:param buffersize: The size of the buffer used in transferring data.
:type buffersize: int
"""
metadata_response = self._post(
path, 'APPEND'... | [
"def",
"append",
"(",
"self",
",",
"path",
",",
"data",
",",
"*",
"*",
"kwargs",
")",
":",
"metadata_response",
"=",
"self",
".",
"_post",
"(",
"path",
",",
"'APPEND'",
",",
"expected_status",
"=",
"httplib",
".",
"TEMPORARY_REDIRECT",
",",
"*",
"*",
"... | Append to the given file.
:param data: ``bytes`` or a ``file``-like object
:param buffersize: The size of the buffer used in transferring data.
:type buffersize: int | [
"Append",
"to",
"the",
"given",
"file",
"."
] | python | train |
savvastj/nbashots | nbashots/charts.py | https://github.com/savvastj/nbashots/blob/76ece28d717f10b25eb0fc681b317df6ef6b5157/nbashots/charts.py#L15-L103 | def draw_court(ax=None, color='gray', lw=1, outer_lines=False):
"""Returns an axes with a basketball court drawn onto to it.
This function draws a court based on the x and y-axis values that the NBA
stats API provides for the shot chart data. For example the center of the
hoop is located at the (0,0) ... | [
"def",
"draw_court",
"(",
"ax",
"=",
"None",
",",
"color",
"=",
"'gray'",
",",
"lw",
"=",
"1",
",",
"outer_lines",
"=",
"False",
")",
":",
"if",
"ax",
"is",
"None",
":",
"ax",
"=",
"plt",
".",
"gca",
"(",
")",
"# Create the various parts of an NBA bask... | Returns an axes with a basketball court drawn onto to it.
This function draws a court based on the x and y-axis values that the NBA
stats API provides for the shot chart data. For example the center of the
hoop is located at the (0,0) coordinate. Twenty-two feet from the left of
the center of the hoo... | [
"Returns",
"an",
"axes",
"with",
"a",
"basketball",
"court",
"drawn",
"onto",
"to",
"it",
"."
] | python | train |
allenai/allennlp | allennlp/semparse/domain_languages/wikitables_language.py | https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/wikitables_language.py#L737-L745 | def average(self, rows: List[Row], column: NumberColumn) -> Number:
"""
Takes a list of rows and a column and returns the mean of the values under that column in
those rows.
"""
cell_values = [row.values[column.name] for row in rows]
if not cell_values:
return... | [
"def",
"average",
"(",
"self",
",",
"rows",
":",
"List",
"[",
"Row",
"]",
",",
"column",
":",
"NumberColumn",
")",
"->",
"Number",
":",
"cell_values",
"=",
"[",
"row",
".",
"values",
"[",
"column",
".",
"name",
"]",
"for",
"row",
"in",
"rows",
"]",... | Takes a list of rows and a column and returns the mean of the values under that column in
those rows. | [
"Takes",
"a",
"list",
"of",
"rows",
"and",
"a",
"column",
"and",
"returns",
"the",
"mean",
"of",
"the",
"values",
"under",
"that",
"column",
"in",
"those",
"rows",
"."
] | python | train |
zhmcclient/python-zhmcclient | zhmcclient/_cpc.py | https://github.com/zhmcclient/python-zhmcclient/blob/9657563e5d9184c51d3c903442a58b9725fdf335/zhmcclient/_cpc.py#L769-L815 | def get_wwpns(self, partitions):
"""
Return the WWPNs of the host ports (of the :term:`HBAs <HBA>`) of the
specified :term:`Partitions <Partition>` of this CPC.
This method performs the HMC operation "Export WWPN List".
Authorization requirements:
* Object-access permi... | [
"def",
"get_wwpns",
"(",
"self",
",",
"partitions",
")",
":",
"body",
"=",
"{",
"'partitions'",
":",
"[",
"p",
".",
"uri",
"for",
"p",
"in",
"partitions",
"]",
"}",
"result",
"=",
"self",
".",
"manager",
".",
"session",
".",
"post",
"(",
"self",
".... | Return the WWPNs of the host ports (of the :term:`HBAs <HBA>`) of the
specified :term:`Partitions <Partition>` of this CPC.
This method performs the HMC operation "Export WWPN List".
Authorization requirements:
* Object-access permission to this CPC.
* Object-access permission... | [
"Return",
"the",
"WWPNs",
"of",
"the",
"host",
"ports",
"(",
"of",
"the",
":",
"term",
":",
"HBAs",
"<HBA",
">",
")",
"of",
"the",
"specified",
":",
"term",
":",
"Partitions",
"<Partition",
">",
"of",
"this",
"CPC",
"."
] | python | train |
juju/python-libjuju | juju/model.py | https://github.com/juju/python-libjuju/blob/58f0011f4c57cd68830258952fa952eaadca6b38/juju/model.py#L164-L169 | def entity_data(self, entity_type, entity_id, history_index):
"""Return the data dict for an entity at a specific index of its
history.
"""
return self.entity_history(entity_type, entity_id)[history_index] | [
"def",
"entity_data",
"(",
"self",
",",
"entity_type",
",",
"entity_id",
",",
"history_index",
")",
":",
"return",
"self",
".",
"entity_history",
"(",
"entity_type",
",",
"entity_id",
")",
"[",
"history_index",
"]"
] | Return the data dict for an entity at a specific index of its
history. | [
"Return",
"the",
"data",
"dict",
"for",
"an",
"entity",
"at",
"a",
"specific",
"index",
"of",
"its",
"history",
"."
] | python | train |
dr-leo/pandaSDMX | pandasdmx/reader/__init__.py | https://github.com/dr-leo/pandaSDMX/blob/71dd81ebb0d5169e5adcb8b52d516573d193f2d6/pandasdmx/reader/__init__.py#L33-L52 | def read_identifiables(self, cls, sdmxobj, offset=None):
'''
If sdmxobj inherits from dict: update it with modelized elements.
These must be instances of model.IdentifiableArtefact,
i.e. have an 'id' attribute. This will be used as dict keys.
If sdmxobj does not inherit fr... | [
"def",
"read_identifiables",
"(",
"self",
",",
"cls",
",",
"sdmxobj",
",",
"offset",
"=",
"None",
")",
":",
"path",
"=",
"self",
".",
"_paths",
"[",
"cls",
"]",
"if",
"offset",
":",
"try",
":",
"base",
"=",
"self",
".",
"_paths",
"[",
"offset",
"]"... | If sdmxobj inherits from dict: update it with modelized elements.
These must be instances of model.IdentifiableArtefact,
i.e. have an 'id' attribute. This will be used as dict keys.
If sdmxobj does not inherit from dict: return a new DictLike. | [
"If",
"sdmxobj",
"inherits",
"from",
"dict",
":",
"update",
"it",
"with",
"modelized",
"elements",
".",
"These",
"must",
"be",
"instances",
"of",
"model",
".",
"IdentifiableArtefact",
"i",
".",
"e",
".",
"have",
"an",
"id",
"attribute",
".",
"This",
"will"... | python | train |
saltstack/salt | salt/modules/kerberos.py | https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/modules/kerberos.py#L119-L144 | def list_policies():
'''
List policies
CLI Example:
.. code-block:: bash
salt 'kdc.example.com' kerberos.list_policies
'''
ret = {}
cmd = __execute_kadmin('list_policies')
if cmd['retcode'] != 0 or cmd['stderr']:
ret['comment'] = cmd['stderr'].splitlines()[-1]
... | [
"def",
"list_policies",
"(",
")",
":",
"ret",
"=",
"{",
"}",
"cmd",
"=",
"__execute_kadmin",
"(",
"'list_policies'",
")",
"if",
"cmd",
"[",
"'retcode'",
"]",
"!=",
"0",
"or",
"cmd",
"[",
"'stderr'",
"]",
":",
"ret",
"[",
"'comment'",
"]",
"=",
"cmd",... | List policies
CLI Example:
.. code-block:: bash
salt 'kdc.example.com' kerberos.list_policies | [
"List",
"policies"
] | python | train |
ucfopen/canvasapi | canvasapi/canvas.py | https://github.com/ucfopen/canvasapi/blob/319064b5fc97ba54250af683eb98723ef3f76cf8/canvasapi/canvas.py#L901-L926 | def get_user_participants(self, appointment_group, **kwargs):
"""
List user participants in this appointment group.
:calls: `GET /api/v1/appointment_groups/:id/users \
<https://canvas.instructure.com/doc/api/appointment_groups.html#method.appointment_groups.users>`_
:param appo... | [
"def",
"get_user_participants",
"(",
"self",
",",
"appointment_group",
",",
"*",
"*",
"kwargs",
")",
":",
"from",
"canvasapi",
".",
"appointment_group",
"import",
"AppointmentGroup",
"from",
"canvasapi",
".",
"user",
"import",
"User",
"appointment_group_id",
"=",
... | List user participants in this appointment group.
:calls: `GET /api/v1/appointment_groups/:id/users \
<https://canvas.instructure.com/doc/api/appointment_groups.html#method.appointment_groups.users>`_
:param appointment_group: The object or ID of the appointment group.
:type appointmen... | [
"List",
"user",
"participants",
"in",
"this",
"appointment",
"group",
"."
] | python | train |
jasonrbriggs/proton | python/proton/xmlutils.py | https://github.com/jasonrbriggs/proton/blob/e734734750797ef0caaa1680379e07b86d7a53e3/python/proton/xmlutils.py#L29-L39 | def replaceelement(oldelem, newelem):
'''
Given a parent element, replace oldelem with newelem.
'''
parent = oldelem.getparent()
if parent is not None:
size = len(parent.getchildren())
for x in range(0, size):
if parent.getchildren()[x] == oldelem:
parent.... | [
"def",
"replaceelement",
"(",
"oldelem",
",",
"newelem",
")",
":",
"parent",
"=",
"oldelem",
".",
"getparent",
"(",
")",
"if",
"parent",
"is",
"not",
"None",
":",
"size",
"=",
"len",
"(",
"parent",
".",
"getchildren",
"(",
")",
")",
"for",
"x",
"in",... | Given a parent element, replace oldelem with newelem. | [
"Given",
"a",
"parent",
"element",
"replace",
"oldelem",
"with",
"newelem",
"."
] | python | train |
yyuu/botornado | boto/connection.py | https://github.com/yyuu/botornado/blob/fffb056f5ff2324d1d5c1304014cfb1d899f602e/boto/connection.py#L267-L285 | def clean(self):
"""
Clean up the stale connections in all of the pools, and then
get rid of empty pools. Pools clean themselves every time a
connection is fetched; this cleaning takes care of pools that
aren't being used any more, so nothing is being gotten from
them.
... | [
"def",
"clean",
"(",
"self",
")",
":",
"with",
"self",
".",
"mutex",
":",
"now",
"=",
"time",
".",
"time",
"(",
")",
"if",
"self",
".",
"last_clean_time",
"+",
"self",
".",
"CLEAN_INTERVAL",
"<",
"now",
":",
"to_remove",
"=",
"[",
"]",
"for",
"(",
... | Clean up the stale connections in all of the pools, and then
get rid of empty pools. Pools clean themselves every time a
connection is fetched; this cleaning takes care of pools that
aren't being used any more, so nothing is being gotten from
them. | [
"Clean",
"up",
"the",
"stale",
"connections",
"in",
"all",
"of",
"the",
"pools",
"and",
"then",
"get",
"rid",
"of",
"empty",
"pools",
".",
"Pools",
"clean",
"themselves",
"every",
"time",
"a",
"connection",
"is",
"fetched",
";",
"this",
"cleaning",
"takes"... | python | train |
sergei-maertens/django-systemjs | systemjs/templatetags/system_tags.py | https://github.com/sergei-maertens/django-systemjs/blob/efd4a3862a39d9771609a25a5556f36023cf6e5c/systemjs/templatetags/system_tags.py#L27-L56 | def render(self, context):
"""
Build the filepath by appending the extension.
"""
module_path = self.path.resolve(context)
if not settings.SYSTEMJS_ENABLED:
if settings.SYSTEMJS_DEFAULT_JS_EXTENSIONS:
name, ext = posixpath.splitext(module_path)
... | [
"def",
"render",
"(",
"self",
",",
"context",
")",
":",
"module_path",
"=",
"self",
".",
"path",
".",
"resolve",
"(",
"context",
")",
"if",
"not",
"settings",
".",
"SYSTEMJS_ENABLED",
":",
"if",
"settings",
".",
"SYSTEMJS_DEFAULT_JS_EXTENSIONS",
":",
"name",... | Build the filepath by appending the extension. | [
"Build",
"the",
"filepath",
"by",
"appending",
"the",
"extension",
"."
] | python | test |
getfleety/coralillo | coralillo/datamodel.py | https://github.com/getfleety/coralillo/blob/9cac101738a0fa7c1106f129604c00ef703370e1/coralillo/datamodel.py#L39-L60 | def distance(self, loc):
"""
Calculate the great circle distance between two points
on the earth (specified in decimal degrees)
"""
assert type(loc) == type(self)
# convert decimal degrees to radians
lon1, lat1, lon2, lat2 = map(radians, [
self.lon,
... | [
"def",
"distance",
"(",
"self",
",",
"loc",
")",
":",
"assert",
"type",
"(",
"loc",
")",
"==",
"type",
"(",
"self",
")",
"# convert decimal degrees to radians",
"lon1",
",",
"lat1",
",",
"lon2",
",",
"lat2",
"=",
"map",
"(",
"radians",
",",
"[",
"self"... | Calculate the great circle distance between two points
on the earth (specified in decimal degrees) | [
"Calculate",
"the",
"great",
"circle",
"distance",
"between",
"two",
"points",
"on",
"the",
"earth",
"(",
"specified",
"in",
"decimal",
"degrees",
")"
] | python | train |
yahoo/TensorFlowOnSpark | examples/imagenet/inception/inception_export.py | https://github.com/yahoo/TensorFlowOnSpark/blob/5e4b6c185ab722fd0104ede0377e1149ea8d6f7c/examples/imagenet/inception/inception_export.py#L30-L115 | def export(_):
FLAGS = tf.app.flags.FLAGS
"""Evaluate model on Dataset for a number of steps."""
#with tf.Graph().as_default():
tf.reset_default_graph()
def preprocess_image(image_buffer):
"""Preprocess JPEG encoded bytes to 3D float Tensor."""
# Decode the string as an RGB JPEG.
# Note that th... | [
"def",
"export",
"(",
"_",
")",
":",
"FLAGS",
"=",
"tf",
".",
"app",
".",
"flags",
".",
"FLAGS",
"#with tf.Graph().as_default():",
"tf",
".",
"reset_default_graph",
"(",
")",
"def",
"preprocess_image",
"(",
"image_buffer",
")",
":",
"\"\"\"Preprocess JPEG encode... | Evaluate model on Dataset for a number of steps. | [
"Evaluate",
"model",
"on",
"Dataset",
"for",
"a",
"number",
"of",
"steps",
"."
] | python | train |
riggsd/davies | examples/wx_compass.py | https://github.com/riggsd/davies/blob/8566c626202a875947ad01c087300108c68d80b5/examples/wx_compass.py#L262-L268 | def OnInit(self):
"""Initialize by creating the split window with the tree"""
project = compass.CompassProjectParser(sys.argv[1]).parse()
frame = MyFrame(None, -1, 'wxCompass', project)
frame.Show(True)
self.SetTopWindow(frame)
return True | [
"def",
"OnInit",
"(",
"self",
")",
":",
"project",
"=",
"compass",
".",
"CompassProjectParser",
"(",
"sys",
".",
"argv",
"[",
"1",
"]",
")",
".",
"parse",
"(",
")",
"frame",
"=",
"MyFrame",
"(",
"None",
",",
"-",
"1",
",",
"'wxCompass'",
",",
"proj... | Initialize by creating the split window with the tree | [
"Initialize",
"by",
"creating",
"the",
"split",
"window",
"with",
"the",
"tree"
] | python | train |
rosenbrockc/ci | pyci/msg.py | https://github.com/rosenbrockc/ci/blob/4d5a60291424a83124d1d962d17fb4c7718cde2b/pyci/msg.py#L74-L78 | def vms(message, level=1):
"""Writes the specified message *only* if verbose output is enabled."""
if verbose is not None and verbose != False:
if isinstance(verbose, bool) or (isinstance(verbose, int) and level <= verbose):
std(message) | [
"def",
"vms",
"(",
"message",
",",
"level",
"=",
"1",
")",
":",
"if",
"verbose",
"is",
"not",
"None",
"and",
"verbose",
"!=",
"False",
":",
"if",
"isinstance",
"(",
"verbose",
",",
"bool",
")",
"or",
"(",
"isinstance",
"(",
"verbose",
",",
"int",
"... | Writes the specified message *only* if verbose output is enabled. | [
"Writes",
"the",
"specified",
"message",
"*",
"only",
"*",
"if",
"verbose",
"output",
"is",
"enabled",
"."
] | python | train |
loli/medpy | medpy/graphcut/wrapper.py | https://github.com/loli/medpy/blob/95216b9e22e7ce301f0edf953ee2a2f1b6c6aee5/medpy/graphcut/wrapper.py#L42-L72 | def split_marker(marker, fg_id = 1, bg_id = 2):
"""
Splits an integer marker image into two binary image containing the foreground and
background markers respectively.
All encountered 1's are hereby treated as foreground, all 2's as background, all 0's
as neutral marker and all others are ignored.
... | [
"def",
"split_marker",
"(",
"marker",
",",
"fg_id",
"=",
"1",
",",
"bg_id",
"=",
"2",
")",
":",
"img_marker",
"=",
"scipy",
".",
"asarray",
"(",
"marker",
")",
"img_fgmarker",
"=",
"scipy",
".",
"zeros",
"(",
"img_marker",
".",
"shape",
",",
"scipy",
... | Splits an integer marker image into two binary image containing the foreground and
background markers respectively.
All encountered 1's are hereby treated as foreground, all 2's as background, all 0's
as neutral marker and all others are ignored.
This behaviour can be changed by supplying the fg_id and/... | [
"Splits",
"an",
"integer",
"marker",
"image",
"into",
"two",
"binary",
"image",
"containing",
"the",
"foreground",
"and",
"background",
"markers",
"respectively",
".",
"All",
"encountered",
"1",
"s",
"are",
"hereby",
"treated",
"as",
"foreground",
"all",
"2",
... | python | train |
tdryer/hangups | hangups/conversation.py | https://github.com/tdryer/hangups/blob/85c0bf0a57698d077461283895707260f9dbf931/hangups/conversation.py#L476-L506 | async def leave(self):
"""Leave this conversation.
Raises:
.NetworkError: If conversation cannot be left.
"""
is_group_conversation = (self._conversation.type ==
hangouts_pb2.CONVERSATION_TYPE_GROUP)
try:
if is_group_conve... | [
"async",
"def",
"leave",
"(",
"self",
")",
":",
"is_group_conversation",
"=",
"(",
"self",
".",
"_conversation",
".",
"type",
"==",
"hangouts_pb2",
".",
"CONVERSATION_TYPE_GROUP",
")",
"try",
":",
"if",
"is_group_conversation",
":",
"await",
"self",
".",
"_cli... | Leave this conversation.
Raises:
.NetworkError: If conversation cannot be left. | [
"Leave",
"this",
"conversation",
"."
] | python | valid |
Locu/chronology | kronos/kronos/storage/router.py | https://github.com/Locu/chronology/blob/0edf3ee3286c76e242cbf92436ffa9c836b428e2/kronos/kronos/storage/router.py#L101-L109 | def backends_to_mutate(self, namespace, stream):
"""
Return all the backends enabled for writing for `stream`.
"""
if namespace not in self.namespaces:
raise NamespaceMissing('`{}` namespace is not configured'
.format(namespace))
return self.prefix_confs[namespace]... | [
"def",
"backends_to_mutate",
"(",
"self",
",",
"namespace",
",",
"stream",
")",
":",
"if",
"namespace",
"not",
"in",
"self",
".",
"namespaces",
":",
"raise",
"NamespaceMissing",
"(",
"'`{}` namespace is not configured'",
".",
"format",
"(",
"namespace",
")",
")"... | Return all the backends enabled for writing for `stream`. | [
"Return",
"all",
"the",
"backends",
"enabled",
"for",
"writing",
"for",
"stream",
"."
] | python | train |
twilio/twilio-python | twilio/rest/video/v1/composition_hook.py | https://github.com/twilio/twilio-python/blob/c867895f55dcc29f522e6e8b8868d0d18483132f/twilio/rest/video/v1/composition_hook.py#L104-L139 | def page(self, enabled=values.unset, date_created_after=values.unset,
date_created_before=values.unset, friendly_name=values.unset,
page_token=values.unset, page_number=values.unset,
page_size=values.unset):
"""
Retrieve a single page of CompositionHookInstance rec... | [
"def",
"page",
"(",
"self",
",",
"enabled",
"=",
"values",
".",
"unset",
",",
"date_created_after",
"=",
"values",
".",
"unset",
",",
"date_created_before",
"=",
"values",
".",
"unset",
",",
"friendly_name",
"=",
"values",
".",
"unset",
",",
"page_token",
... | Retrieve a single page of CompositionHookInstance records from the API.
Request is executed immediately
:param bool enabled: Only show Composition Hooks enabled or disabled.
:param datetime date_created_after: Only show Composition Hooks created on or after this ISO8601 date-time with timezone.... | [
"Retrieve",
"a",
"single",
"page",
"of",
"CompositionHookInstance",
"records",
"from",
"the",
"API",
".",
"Request",
"is",
"executed",
"immediately"
] | python | train |
wavefrontHQ/python-client | wavefront_api_client/api/derived_metric_api.py | https://github.com/wavefrontHQ/python-client/blob/b0f1046a8f68c2c7d69e395f7167241f224c738a/wavefront_api_client/api/derived_metric_api.py#L143-L163 | def create_derived_metric(self, **kwargs): # noqa: E501
"""Create a specific derived metric definition # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_... | [
"def",
"create_derived_metric",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"# noqa: E501",
"kwargs",
"[",
"'_return_http_data_only'",
"]",
"=",
"True",
"if",
"kwargs",
".",
"get",
"(",
"'async_req'",
")",
":",
"return",
"self",
".",
"create_derived_metric... | Create a specific derived metric definition # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_derived_metric(async_req=True)
>>> result = thread.get()
... | [
"Create",
"a",
"specific",
"derived",
"metric",
"definition",
"#",
"noqa",
":",
"E501"
] | python | train |
PmagPy/PmagPy | pmagpy/contribution_builder.py | https://github.com/PmagPy/PmagPy/blob/c7984f8809bf40fe112e53dcc311a33293b62d0b/pmagpy/contribution_builder.py#L177-L206 | def propagate_measurement_info(self):
"""
Take a contribution with a measurement table.
Create specimen, sample, site, and location tables
using the unique names in the measurement table to fill in
the index.
"""
meas_df = self.tables['measurements'].df
na... | [
"def",
"propagate_measurement_info",
"(",
"self",
")",
":",
"meas_df",
"=",
"self",
".",
"tables",
"[",
"'measurements'",
"]",
".",
"df",
"names_list",
"=",
"[",
"'specimen'",
",",
"'sample'",
",",
"'site'",
",",
"'location'",
"]",
"# add in any tables that you ... | Take a contribution with a measurement table.
Create specimen, sample, site, and location tables
using the unique names in the measurement table to fill in
the index. | [
"Take",
"a",
"contribution",
"with",
"a",
"measurement",
"table",
".",
"Create",
"specimen",
"sample",
"site",
"and",
"location",
"tables",
"using",
"the",
"unique",
"names",
"in",
"the",
"measurement",
"table",
"to",
"fill",
"in",
"the",
"index",
"."
] | python | train |
guaix-ucm/numina | numina/array/nirproc.py | https://github.com/guaix-ucm/numina/blob/6c829495df8937f77c2de9383c1038ffb3e713e3/numina/array/nirproc.py#L135-L202 | def ramp_array(rampdata, ti, gain=1.0, ron=1.0,
badpixels=None, dtype='float64',
saturation=65631, blank=0, nsig=None, normalize=False):
"""Loop over the first axis applying ramp processing.
*rampdata* is assumed to be a 3D numpy.ndarray containing the
result of a nIR observat... | [
"def",
"ramp_array",
"(",
"rampdata",
",",
"ti",
",",
"gain",
"=",
"1.0",
",",
"ron",
"=",
"1.0",
",",
"badpixels",
"=",
"None",
",",
"dtype",
"=",
"'float64'",
",",
"saturation",
"=",
"65631",
",",
"blank",
"=",
"0",
",",
"nsig",
"=",
"None",
",",... | Loop over the first axis applying ramp processing.
*rampdata* is assumed to be a 3D numpy.ndarray containing the
result of a nIR observation in folow-up-the-ramp mode.
The shape of the array must be of the form N_s x M x N, with N_s being
the number of samples.
:param fowlerdata: Convertible to a ... | [
"Loop",
"over",
"the",
"first",
"axis",
"applying",
"ramp",
"processing",
"."
] | python | train |
wummel/patool | patoolib/__init__.py | https://github.com/wummel/patool/blob/d7e64d9fd60faaa4b3f824bd97c43ce59b185c40/patoolib/__init__.py#L317-L322 | def check_archive_format (format, compression):
"""Make sure format and compression is known."""
if format not in ArchiveFormats:
raise util.PatoolError("unknown archive format `%s'" % format)
if compression is not None and compression not in ArchiveCompressions:
raise util.PatoolError("unko... | [
"def",
"check_archive_format",
"(",
"format",
",",
"compression",
")",
":",
"if",
"format",
"not",
"in",
"ArchiveFormats",
":",
"raise",
"util",
".",
"PatoolError",
"(",
"\"unknown archive format `%s'\"",
"%",
"format",
")",
"if",
"compression",
"is",
"not",
"No... | Make sure format and compression is known. | [
"Make",
"sure",
"format",
"and",
"compression",
"is",
"known",
"."
] | python | train |
bokeh/bokeh | bokeh/protocol/message.py | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/protocol/message.py#L248-L281 | def send(self, conn):
''' Send the message on the given connection.
Args:
conn (WebSocketHandler) : a WebSocketHandler to send messages
Returns:
int : number of bytes sent
'''
if conn is None:
raise ValueError("Cannot send to connection None... | [
"def",
"send",
"(",
"self",
",",
"conn",
")",
":",
"if",
"conn",
"is",
"None",
":",
"raise",
"ValueError",
"(",
"\"Cannot send to connection None\"",
")",
"with",
"(",
"yield",
"conn",
".",
"write_lock",
".",
"acquire",
"(",
")",
")",
":",
"sent",
"=",
... | Send the message on the given connection.
Args:
conn (WebSocketHandler) : a WebSocketHandler to send messages
Returns:
int : number of bytes sent | [
"Send",
"the",
"message",
"on",
"the",
"given",
"connection",
"."
] | python | train |
PolyJIT/benchbuild | benchbuild/reports/status.py | https://github.com/PolyJIT/benchbuild/blob/9ad2ec54d96e97b642b1f06eddcbad9ba7aeaf58/benchbuild/reports/status.py#L82-L100 | def generate(self):
"""
Fetch all rows associated with this experiment.
This will generate a huge .csv.
"""
exp_name = self.exp_name()
fname = os.path.basename(self.out_path)
fname = "{exp}_{prefix}_{name}{ending}".format(
exp=exp_name,
p... | [
"def",
"generate",
"(",
"self",
")",
":",
"exp_name",
"=",
"self",
".",
"exp_name",
"(",
")",
"fname",
"=",
"os",
".",
"path",
".",
"basename",
"(",
"self",
".",
"out_path",
")",
"fname",
"=",
"\"{exp}_{prefix}_{name}{ending}\"",
".",
"format",
"(",
"exp... | Fetch all rows associated with this experiment.
This will generate a huge .csv. | [
"Fetch",
"all",
"rows",
"associated",
"with",
"this",
"experiment",
"."
] | python | train |
StackStorm/pybind | pybind/nos/v7_2_0/rbridge_id/resource_monitor/memory/__init__.py | https://github.com/StackStorm/pybind/blob/44c467e71b2b425be63867aba6e6fa28b2cfe7fb/pybind/nos/v7_2_0/rbridge_id/resource_monitor/memory/__init__.py#L163-L184 | def _set_action_memory(self, v, load=False):
"""
Setter method for action_memory, mapped from YANG variable /rbridge_id/resource_monitor/memory/action_memory (resource-monitor-actiontype)
If this variable is read-only (config: false) in the
source YANG file, then _set_action_memory is considered as a pr... | [
"def",
"_set_action_memory",
"(",
"self",
",",
"v",
",",
"load",
"=",
"False",
")",
":",
"if",
"hasattr",
"(",
"v",
",",
"\"_utype\"",
")",
":",
"v",
"=",
"v",
".",
"_utype",
"(",
"v",
")",
"try",
":",
"t",
"=",
"YANGDynClass",
"(",
"v",
",",
"... | Setter method for action_memory, mapped from YANG variable /rbridge_id/resource_monitor/memory/action_memory (resource-monitor-actiontype)
If this variable is read-only (config: false) in the
source YANG file, then _set_action_memory is considered as a private
method. Backends looking to populate this varia... | [
"Setter",
"method",
"for",
"action_memory",
"mapped",
"from",
"YANG",
"variable",
"/",
"rbridge_id",
"/",
"resource_monitor",
"/",
"memory",
"/",
"action_memory",
"(",
"resource",
"-",
"monitor",
"-",
"actiontype",
")",
"If",
"this",
"variable",
"is",
"read",
... | python | train |
gwastro/pycbc | pycbc/waveform/generator.py | https://github.com/gwastro/pycbc/blob/7a64cdd104d263f1b6ea0b01e6841837d05a4cb3/pycbc/waveform/generator.py#L545-L594 | def generate(self, **kwargs):
"""Generates a waveform, applies a time shift and the detector response
function from the given kwargs.
"""
self.current_params.update(kwargs)
rfparams = {param: self.current_params[param]
for param in kwargs if param not in self.location... | [
"def",
"generate",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"self",
".",
"current_params",
".",
"update",
"(",
"kwargs",
")",
"rfparams",
"=",
"{",
"param",
":",
"self",
".",
"current_params",
"[",
"param",
"]",
"for",
"param",
"in",
"kwargs",
... | Generates a waveform, applies a time shift and the detector response
function from the given kwargs. | [
"Generates",
"a",
"waveform",
"applies",
"a",
"time",
"shift",
"and",
"the",
"detector",
"response",
"function",
"from",
"the",
"given",
"kwargs",
"."
] | python | train |
streamlink/streamlink | src/streamlink/plugins/abweb.py | https://github.com/streamlink/streamlink/blob/c8ed1daff14ac03195870238b9b900c1109dd5c1/src/streamlink/plugins/abweb.py#L93-L135 | def _login(self, username, password):
'''login and update cached cookies'''
self.logger.debug('login ...')
res = self.session.http.get(self.login_url)
input_list = self._input_re.findall(res.text)
if not input_list:
raise PluginError('Missing input data on login webs... | [
"def",
"_login",
"(",
"self",
",",
"username",
",",
"password",
")",
":",
"self",
".",
"logger",
".",
"debug",
"(",
"'login ...'",
")",
"res",
"=",
"self",
".",
"session",
".",
"http",
".",
"get",
"(",
"self",
".",
"login_url",
")",
"input_list",
"="... | login and update cached cookies | [
"login",
"and",
"update",
"cached",
"cookies"
] | python | test |
juju/charm-helpers | charmhelpers/contrib/openstack/templating.py | https://github.com/juju/charm-helpers/blob/aa785c40c3b7a8c69dbfbc7921d6b9f30142e171/charmhelpers/contrib/openstack/templating.py#L121-L128 | def complete_contexts(self):
'''
Return a list of interfaces that have satisfied contexts.
'''
if self._complete_contexts:
return self._complete_contexts
self.context()
return self._complete_contexts | [
"def",
"complete_contexts",
"(",
"self",
")",
":",
"if",
"self",
".",
"_complete_contexts",
":",
"return",
"self",
".",
"_complete_contexts",
"self",
".",
"context",
"(",
")",
"return",
"self",
".",
"_complete_contexts"
] | Return a list of interfaces that have satisfied contexts. | [
"Return",
"a",
"list",
"of",
"interfaces",
"that",
"have",
"satisfied",
"contexts",
"."
] | python | train |
drdoctr/doctr | doctr/local.py | https://github.com/drdoctr/doctr/blob/0f19ff78c8239efcc98d417f36b0a31d9be01ba5/doctr/local.py#L86-L109 | def encrypt_to_file(contents, filename):
"""
Encrypts ``contents`` and writes it to ``filename``.
``contents`` should be a bytes string. ``filename`` should end with
``.enc``.
Returns the secret key used for the encryption.
Decrypt the file with :func:`doctr.travis.decrypt_file`.
"""
... | [
"def",
"encrypt_to_file",
"(",
"contents",
",",
"filename",
")",
":",
"if",
"not",
"filename",
".",
"endswith",
"(",
"'.enc'",
")",
":",
"raise",
"ValueError",
"(",
"\"%s does not end with .enc\"",
"%",
"filename",
")",
"key",
"=",
"Fernet",
".",
"generate_key... | Encrypts ``contents`` and writes it to ``filename``.
``contents`` should be a bytes string. ``filename`` should end with
``.enc``.
Returns the secret key used for the encryption.
Decrypt the file with :func:`doctr.travis.decrypt_file`. | [
"Encrypts",
"contents",
"and",
"writes",
"it",
"to",
"filename",
"."
] | python | train |
ConsenSys/mythril-classic | mythril/mythril/mythril_config.py | https://github.com/ConsenSys/mythril-classic/blob/27af71c34b2ce94f4fae5613ec457f93df1a8f56/mythril/mythril/mythril_config.py#L215-L226 | def _set_rpc(self, rpc_type: str) -> None:
"""
Sets rpc based on the type
:param rpc_type: The type of connection: like infura, ganache, localhost
:return:
"""
if rpc_type == "infura":
self.set_api_rpc_infura()
elif rpc_type == "localhost":
... | [
"def",
"_set_rpc",
"(",
"self",
",",
"rpc_type",
":",
"str",
")",
"->",
"None",
":",
"if",
"rpc_type",
"==",
"\"infura\"",
":",
"self",
".",
"set_api_rpc_infura",
"(",
")",
"elif",
"rpc_type",
"==",
"\"localhost\"",
":",
"self",
".",
"set_api_rpc_localhost",... | Sets rpc based on the type
:param rpc_type: The type of connection: like infura, ganache, localhost
:return: | [
"Sets",
"rpc",
"based",
"on",
"the",
"type",
":",
"param",
"rpc_type",
":",
"The",
"type",
"of",
"connection",
":",
"like",
"infura",
"ganache",
"localhost",
":",
"return",
":"
] | python | train |
bcbio/bcbio-nextgen | bcbio/bam/callable.py | https://github.com/bcbio/bcbio-nextgen/blob/6a9348c0054ccd5baffd22f1bb7d0422f6978b20/bcbio/bam/callable.py#L32-L57 | def sample_callable_bed(bam_file, ref_file, data):
"""Retrieve callable regions for a sample subset by defined analysis regions.
"""
from bcbio.heterogeneity import chromhacks
CovInfo = collections.namedtuple("CovInfo", "callable, raw_callable, depth_files")
noalt_calling = "noalt_calling" in dd.get... | [
"def",
"sample_callable_bed",
"(",
"bam_file",
",",
"ref_file",
",",
"data",
")",
":",
"from",
"bcbio",
".",
"heterogeneity",
"import",
"chromhacks",
"CovInfo",
"=",
"collections",
".",
"namedtuple",
"(",
"\"CovInfo\"",
",",
"\"callable, raw_callable, depth_files\"",
... | Retrieve callable regions for a sample subset by defined analysis regions. | [
"Retrieve",
"callable",
"regions",
"for",
"a",
"sample",
"subset",
"by",
"defined",
"analysis",
"regions",
"."
] | python | train |
markchil/gptools | gptools/utils.py | https://github.com/markchil/gptools/blob/225db52bfe6baef1516529ad22177aa2cf7b71e4/gptools/utils.py#L1070-L1079 | def random_draw(self, size=None):
"""Draw random samples of the hyperparameters.
Parameters
----------
size : None, int or array-like, optional
The number/shape of samples to draw. If None, only one sample is
returned. Default is None.
"""
... | [
"def",
"random_draw",
"(",
"self",
",",
"size",
"=",
"None",
")",
":",
"return",
"scipy",
".",
"asarray",
"(",
"[",
"scipy",
".",
"stats",
".",
"gamma",
".",
"rvs",
"(",
"a",
",",
"loc",
"=",
"0",
",",
"scale",
"=",
"1.0",
"/",
"b",
",",
"size"... | Draw random samples of the hyperparameters.
Parameters
----------
size : None, int or array-like, optional
The number/shape of samples to draw. If None, only one sample is
returned. Default is None. | [
"Draw",
"random",
"samples",
"of",
"the",
"hyperparameters",
".",
"Parameters",
"----------",
"size",
":",
"None",
"int",
"or",
"array",
"-",
"like",
"optional",
"The",
"number",
"/",
"shape",
"of",
"samples",
"to",
"draw",
".",
"If",
"None",
"only",
"one"... | python | train |
Spinmob/spinmob | _pylab_colormap.py | https://github.com/Spinmob/spinmob/blob/f037f5df07f194bcd4a01f4d9916e57b9e8fb45a/_pylab_colormap.py#L406-L420 | def _signal_load(self):
"""
Load the selected cmap.
"""
# set our name
self.set_name(str(self._combobox_cmaps.currentText()))
# load the colormap
self.load_colormap()
# rebuild the interface
self._build_gui()
self._button_save.setEnable... | [
"def",
"_signal_load",
"(",
"self",
")",
":",
"# set our name",
"self",
".",
"set_name",
"(",
"str",
"(",
"self",
".",
"_combobox_cmaps",
".",
"currentText",
"(",
")",
")",
")",
"# load the colormap",
"self",
".",
"load_colormap",
"(",
")",
"# rebuild the inte... | Load the selected cmap. | [
"Load",
"the",
"selected",
"cmap",
"."
] | python | train |
peterbe/gg | gg/builtins/bugzilla.py | https://github.com/peterbe/gg/blob/2aace5bdb4a9b1cb65bea717784edf54c63b7bad/gg/builtins/bugzilla.py#L69-L76 | def logout(config):
"""Remove and forget your Bugzilla credentials"""
state = read(config.configfile)
if state.get("BUGZILLA"):
remove(config.configfile, "BUGZILLA")
success_out("Forgotten")
else:
error_out("No stored Bugzilla credentials") | [
"def",
"logout",
"(",
"config",
")",
":",
"state",
"=",
"read",
"(",
"config",
".",
"configfile",
")",
"if",
"state",
".",
"get",
"(",
"\"BUGZILLA\"",
")",
":",
"remove",
"(",
"config",
".",
"configfile",
",",
"\"BUGZILLA\"",
")",
"success_out",
"(",
"... | Remove and forget your Bugzilla credentials | [
"Remove",
"and",
"forget",
"your",
"Bugzilla",
"credentials"
] | python | train |
googlefonts/ufo2ft | Lib/ufo2ft/outlineCompiler.py | https://github.com/googlefonts/ufo2ft/blob/915b986558e87bee288765d9218cc1cd4ebf7f4c/Lib/ufo2ft/outlineCompiler.py#L739-L760 | def setupTable_vmtx(self):
"""
Make the vmtx table.
**This should not be called externally.** Subclasses
may override or supplement this method to handle the
table creation in a different way if desired.
"""
if "vmtx" not in self.tables:
return
... | [
"def",
"setupTable_vmtx",
"(",
"self",
")",
":",
"if",
"\"vmtx\"",
"not",
"in",
"self",
".",
"tables",
":",
"return",
"self",
".",
"otf",
"[",
"\"vmtx\"",
"]",
"=",
"vmtx",
"=",
"newTable",
"(",
"\"vmtx\"",
")",
"vmtx",
".",
"metrics",
"=",
"{",
"}",... | Make the vmtx table.
**This should not be called externally.** Subclasses
may override or supplement this method to handle the
table creation in a different way if desired. | [
"Make",
"the",
"vmtx",
"table",
"."
] | python | train |
CEA-COSMIC/ModOpt | modopt/base/transform.py | https://github.com/CEA-COSMIC/ModOpt/blob/019b189cb897cbb4d210c44a100daaa08468830c/modopt/base/transform.py#L63-L113 | def map2cube(data_map, layout):
r"""Map to cube
This method transforms the input data from a 2D map with given layout to
a 3D cube
Parameters
----------
data_map : np.ndarray
Input data map, 2D array
layout : tuple
2D layout of 2D images
Returns
-------
np.ndar... | [
"def",
"map2cube",
"(",
"data_map",
",",
"layout",
")",
":",
"if",
"np",
".",
"all",
"(",
"np",
".",
"array",
"(",
"data_map",
".",
"shape",
")",
"%",
"np",
".",
"array",
"(",
"layout",
")",
")",
":",
"raise",
"ValueError",
"(",
"'The desired layout ... | r"""Map to cube
This method transforms the input data from a 2D map with given layout to
a 3D cube
Parameters
----------
data_map : np.ndarray
Input data map, 2D array
layout : tuple
2D layout of 2D images
Returns
-------
np.ndarray 3D cube
Raises
------
... | [
"r",
"Map",
"to",
"cube"
] | python | train |
asphalt-framework/asphalt | asphalt/core/context.py | https://github.com/asphalt-framework/asphalt/blob/4114b3ac9743cbd9facb374a3f53e19d3afef22d/asphalt/core/context.py#L504-L521 | def call_in_executor(self, func: Callable, *args, executor: Union[Executor, str] = None,
**kwargs) -> Awaitable:
"""
Call the given callable in an executor.
:param func: the callable to call
:param args: positional arguments to call the callable with
:pa... | [
"def",
"call_in_executor",
"(",
"self",
",",
"func",
":",
"Callable",
",",
"*",
"args",
",",
"executor",
":",
"Union",
"[",
"Executor",
",",
"str",
"]",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
"->",
"Awaitable",
":",
"assert",
"check_argument_types",
... | Call the given callable in an executor.
:param func: the callable to call
:param args: positional arguments to call the callable with
:param executor: either an :class:`~concurrent.futures.Executor` instance, the resource
name of one or ``None`` to use the event loop's default execu... | [
"Call",
"the",
"given",
"callable",
"in",
"an",
"executor",
"."
] | python | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.