nwo stringlengths 5 106 | sha stringlengths 40 40 | path stringlengths 4 174 | language stringclasses 1
value | identifier stringlengths 1 140 | parameters stringlengths 0 87.7k | argument_list stringclasses 1
value | return_statement stringlengths 0 426k | docstring stringlengths 0 64.3k | docstring_summary stringlengths 0 26.3k | docstring_tokens list | function stringlengths 18 4.83M | function_tokens list | url stringlengths 83 304 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PaddlePaddle/PaddleX | 2bab73f81ab54e328204e7871e6ae4a82e719f5d | paddlex/tools/dataset_conversion/x2coco.py | python | LabelMe2COCO.generate_images_field | (self, json_info, image_file, image_id) | return image | [] | def generate_images_field(self, json_info, image_file, image_id):
image = {}
image["height"] = json_info["imageHeight"]
image["width"] = json_info["imageWidth"]
image["id"] = image_id + 1
json_img_path = path_normalization(json_info["imagePath"])
json_info["imagePath"] = ... | [
"def",
"generate_images_field",
"(",
"self",
",",
"json_info",
",",
"image_file",
",",
"image_id",
")",
":",
"image",
"=",
"{",
"}",
"image",
"[",
"\"height\"",
"]",
"=",
"json_info",
"[",
"\"imageHeight\"",
"]",
"image",
"[",
"\"width\"",
"]",
"=",
"json_... | https://github.com/PaddlePaddle/PaddleX/blob/2bab73f81ab54e328204e7871e6ae4a82e719f5d/paddlex/tools/dataset_conversion/x2coco.py#L99-L108 | |||
solarwinds/orionsdk-python | 97168451ddbc68db1773717f592a42f78be0eefe | orionsdk/solarwinds.py | python | SolarWinds.get_node_uri | (self, node_name) | Returns the NodeURI for the given NodeName. Uses a SWIS query to the SolarWinds database to retrieve this
information.
Args:
node_name(string): A node name which should equal the caption used in SolarWinds for the node object.
Returns:
node_id (stri... | Returns the NodeURI for the given NodeName. Uses a SWIS query to the SolarWinds database to retrieve this
information. | [
"Returns",
"the",
"NodeURI",
"for",
"the",
"given",
"NodeName",
".",
"Uses",
"a",
"SWIS",
"query",
"to",
"the",
"SolarWinds",
"database",
"to",
"retrieve",
"this",
"information",
"."
] | def get_node_uri(self, node_name):
""" Returns the NodeURI for the given NodeName. Uses a SWIS query to the SolarWinds database to retrieve this
information.
Args:
node_name(string): A node name which should equal the caption used in SolarWinds for the node object.
... | [
"def",
"get_node_uri",
"(",
"self",
",",
"node_name",
")",
":",
"node_uri",
"=",
"self",
".",
"swis",
".",
"query",
"(",
"\"SELECT Caption, Uri FROM Orion.Nodes WHERE Caption = @caption\"",
",",
"caption",
"=",
"node_name",
")",
"self",
".",
"logger",
".",
"info",... | https://github.com/solarwinds/orionsdk-python/blob/97168451ddbc68db1773717f592a42f78be0eefe/orionsdk/solarwinds.py#L63-L82 | ||
dropbox/changes | 37e23c3141b75e4785cf398d015e3dbca41bdd56 | changes/lib/mesos_lib.py | python | _update_maintenance_schedule | (master, maint_data) | Overwrite maintenance schedule on a Mesos master | Overwrite maintenance schedule on a Mesos master | [
"Overwrite",
"maintenance",
"schedule",
"on",
"a",
"Mesos",
"master"
] | def _update_maintenance_schedule(master, maint_data):
"""
Overwrite maintenance schedule on a Mesos master
"""
_master_api_request(master, SCHEDULE_ENDPOINT, post_data=json.dumps(maint_data)) | [
"def",
"_update_maintenance_schedule",
"(",
"master",
",",
"maint_data",
")",
":",
"_master_api_request",
"(",
"master",
",",
"SCHEDULE_ENDPOINT",
",",
"post_data",
"=",
"json",
".",
"dumps",
"(",
"maint_data",
")",
")"
] | https://github.com/dropbox/changes/blob/37e23c3141b75e4785cf398d015e3dbca41bdd56/changes/lib/mesos_lib.py#L92-L96 | ||
statsmodels/statsmodels | debbe7ea6ba28fe5bdb78f09f8cac694bef98722 | statsmodels/duration/hazard_regression.py | python | PHRegResults.martingale_residuals | (self) | return mart_resid | The martingale residuals. | The martingale residuals. | [
"The",
"martingale",
"residuals",
"."
] | def martingale_residuals(self):
"""
The martingale residuals.
"""
surv = self.model.surv
# Initialize at NaN since rows that belong to strata with no
# events have undefined residuals.
mart_resid = np.nan*np.ones(len(self.model.endog), dtype=np.float64)
... | [
"def",
"martingale_residuals",
"(",
"self",
")",
":",
"surv",
"=",
"self",
".",
"model",
".",
"surv",
"# Initialize at NaN since rows that belong to strata with no",
"# events have undefined residuals.",
"mart_resid",
"=",
"np",
".",
"nan",
"*",
"np",
".",
"ones",
"("... | https://github.com/statsmodels/statsmodels/blob/debbe7ea6ba28fe5bdb78f09f8cac694bef98722/statsmodels/duration/hazard_regression.py#L1541-L1571 | |
python/cpython | e13cdca0f5224ec4e23bdd04bb3120506964bc8b | Lib/string.py | python | capwords | (s, sep=None) | return (sep or ' ').join(map(str.capitalize, s.split(sep))) | capwords(s [,sep]) -> string
Split the argument into words using split, capitalize each
word using capitalize, and join the capitalized words using
join. If the optional second argument sep is absent or None,
runs of whitespace characters are replaced by a single space
and leading and trailing whi... | capwords(s [,sep]) -> string | [
"capwords",
"(",
"s",
"[",
"sep",
"]",
")",
"-",
">",
"string"
] | def capwords(s, sep=None):
"""capwords(s [,sep]) -> string
Split the argument into words using split, capitalize each
word using capitalize, and join the capitalized words using
join. If the optional second argument sep is absent or None,
runs of whitespace characters are replaced by a single spac... | [
"def",
"capwords",
"(",
"s",
",",
"sep",
"=",
"None",
")",
":",
"return",
"(",
"sep",
"or",
"' '",
")",
".",
"join",
"(",
"map",
"(",
"str",
".",
"capitalize",
",",
"s",
".",
"split",
"(",
"sep",
")",
")",
")"
] | https://github.com/python/cpython/blob/e13cdca0f5224ec4e23bdd04bb3120506964bc8b/Lib/string.py#L37-L48 | |
OpenMDAO/OpenMDAO | f47eb5485a0bb5ea5d2ae5bd6da4b94dc6b296bd | openmdao/jacobians/jacobian.py | python | Jacobian._randomize_subjac | (self, subjac, key) | return r | Return a subjac that is the given subjac filled with random values.
Parameters
----------
subjac : ndarray or csc_matrix
Sub-jacobian to be randomized.
key : tuple (of, wrt)
Key for subjac within the jacobian.
Returns
-------
ndarray or c... | Return a subjac that is the given subjac filled with random values. | [
"Return",
"a",
"subjac",
"that",
"is",
"the",
"given",
"subjac",
"filled",
"with",
"random",
"values",
"."
] | def _randomize_subjac(self, subjac, key):
"""
Return a subjac that is the given subjac filled with random values.
Parameters
----------
subjac : ndarray or csc_matrix
Sub-jacobian to be randomized.
key : tuple (of, wrt)
Key for subjac within the j... | [
"def",
"_randomize_subjac",
"(",
"self",
",",
"subjac",
",",
"key",
")",
":",
"if",
"isinstance",
"(",
"subjac",
",",
"sparse_types",
")",
":",
"# sparse",
"sparse",
"=",
"subjac",
".",
"copy",
"(",
")",
"sparse",
".",
"data",
"=",
"rand",
"(",
"sparse... | https://github.com/OpenMDAO/OpenMDAO/blob/f47eb5485a0bb5ea5d2ae5bd6da4b94dc6b296bd/openmdao/jacobians/jacobian.py#L260-L299 | |
JaniceWuo/MovieRecommend | 4c86db64ca45598917d304f535413df3bc9fea65 | movierecommend/venv1/Lib/site-packages/django/views/decorators/cache.py | python | cache_control | (**kwargs) | return _cache_controller | [] | def cache_control(**kwargs):
def _cache_controller(viewfunc):
@wraps(viewfunc, assigned=available_attrs(viewfunc))
def _cache_controlled(request, *args, **kw):
response = viewfunc(request, *args, **kw)
patch_cache_control(response, **kwargs)
return response
... | [
"def",
"cache_control",
"(",
"*",
"*",
"kwargs",
")",
":",
"def",
"_cache_controller",
"(",
"viewfunc",
")",
":",
"@",
"wraps",
"(",
"viewfunc",
",",
"assigned",
"=",
"available_attrs",
"(",
"viewfunc",
")",
")",
"def",
"_cache_controlled",
"(",
"request",
... | https://github.com/JaniceWuo/MovieRecommend/blob/4c86db64ca45598917d304f535413df3bc9fea65/movierecommend/venv1/Lib/site-packages/django/views/decorators/cache.py#L39-L47 | |||
barseghyanartur/django-elasticsearch-dsl-drf | 8fe35265d44501269b2603570773be47f20fa471 | examples/simple/settings/core.py | python | project_dir | (base) | return os.path.abspath(
os.path.join(os.path.dirname(__file__), base).replace('\\', '/')
) | Absolute path to a file from current directory. | Absolute path to a file from current directory. | [
"Absolute",
"path",
"to",
"a",
"file",
"from",
"current",
"directory",
"."
] | def project_dir(base):
"""Absolute path to a file from current directory."""
return os.path.abspath(
os.path.join(os.path.dirname(__file__), base).replace('\\', '/')
) | [
"def",
"project_dir",
"(",
"base",
")",
":",
"return",
"os",
".",
"path",
".",
"abspath",
"(",
"os",
".",
"path",
".",
"join",
"(",
"os",
".",
"path",
".",
"dirname",
"(",
"__file__",
")",
",",
"base",
")",
".",
"replace",
"(",
"'\\\\'",
",",
"'/... | https://github.com/barseghyanartur/django-elasticsearch-dsl-drf/blob/8fe35265d44501269b2603570773be47f20fa471/examples/simple/settings/core.py#L10-L14 | |
tahoe-lafs/tahoe-lafs | 766a53b5208c03c45ca0a98e97eee76870276aa1 | src/allmydata/frontends/sftpd.py | python | _convert_error | (res, request) | If res is not a Failure, return it, otherwise reraise the appropriate
SFTPError. | If res is not a Failure, return it, otherwise reraise the appropriate
SFTPError. | [
"If",
"res",
"is",
"not",
"a",
"Failure",
"return",
"it",
"otherwise",
"reraise",
"the",
"appropriate",
"SFTPError",
"."
] | def _convert_error(res, request):
"""If res is not a Failure, return it, otherwise reraise the appropriate
SFTPError."""
if not isinstance(res, Failure):
logged_res = res
if isinstance(res, (bytes, str)): logged_res = "<data of length %r>" % (len(res),)
logmsg("SUCCESS %r %r" % (req... | [
"def",
"_convert_error",
"(",
"res",
",",
"request",
")",
":",
"if",
"not",
"isinstance",
"(",
"res",
",",
"Failure",
")",
":",
"logged_res",
"=",
"res",
"if",
"isinstance",
"(",
"res",
",",
"(",
"bytes",
",",
"str",
")",
")",
":",
"logged_res",
"=",... | https://github.com/tahoe-lafs/tahoe-lafs/blob/766a53b5208c03c45ca0a98e97eee76870276aa1/src/allmydata/frontends/sftpd.py#L92-L138 | ||
GoogleCloudPlatform/gsutil | 5be882803e76608e2fd29cf8c504ccd1fe0a7746 | gslib/commands/acl.py | python | AclCommand.ApplyAclChanges | (self, name_expansion_result, thread_state=None) | Applies the changes in self.changes to the provided URL.
Args:
name_expansion_result: NameExpansionResult describing the target object.
thread_state: If present, gsutil Cloud API instance to apply the changes. | Applies the changes in self.changes to the provided URL. | [
"Applies",
"the",
"changes",
"in",
"self",
".",
"changes",
"to",
"the",
"provided",
"URL",
"."
] | def ApplyAclChanges(self, name_expansion_result, thread_state=None):
"""Applies the changes in self.changes to the provided URL.
Args:
name_expansion_result: NameExpansionResult describing the target object.
thread_state: If present, gsutil Cloud API instance to apply the changes.
"""
if th... | [
"def",
"ApplyAclChanges",
"(",
"self",
",",
"name_expansion_result",
",",
"thread_state",
"=",
"None",
")",
":",
"if",
"thread_state",
":",
"gsutil_api",
"=",
"thread_state",
"else",
":",
"gsutil_api",
"=",
"self",
".",
"gsutil_api",
"url",
"=",
"name_expansion_... | https://github.com/GoogleCloudPlatform/gsutil/blob/5be882803e76608e2fd29cf8c504ccd1fe0a7746/gslib/commands/acl.py#L426-L493 | ||
buke/GreenOdoo | 3d8c55d426fb41fdb3f2f5a1533cfe05983ba1df | runtime/python/lib/python2.7/site-packages/_xmlplus/parsers/xmlproc/xmldtd.py | python | FNDABuilder.new_transition_cur2rem | (self,label) | Adds a new transition from the current state to the last remembered
state. | Adds a new transition from the current state to the last remembered
state. | [
"Adds",
"a",
"new",
"transition",
"from",
"the",
"current",
"state",
"to",
"the",
"last",
"remembered",
"state",
"."
] | def new_transition_cur2rem(self,label):
"""Adds a new transition from the current state to the last remembered
state."""
self.__transitions[self.__current].append((self.__mem[-1],label)) | [
"def",
"new_transition_cur2rem",
"(",
"self",
",",
"label",
")",
":",
"self",
".",
"__transitions",
"[",
"self",
".",
"__current",
"]",
".",
"append",
"(",
"(",
"self",
".",
"__mem",
"[",
"-",
"1",
"]",
",",
"label",
")",
")"
] | https://github.com/buke/GreenOdoo/blob/3d8c55d426fb41fdb3f2f5a1533cfe05983ba1df/runtime/python/lib/python2.7/site-packages/_xmlplus/parsers/xmlproc/xmldtd.py#L571-L574 | ||
out0fmemory/GoAgent-Always-Available | c4254984fea633ce3d1893fe5901debd9f22c2a9 | server/lib/google/appengine/ext/ndb/query.py | python | Query._fetch_page_async | (self, page_size, **q_options) | Internal version of fetch_page_async(). | Internal version of fetch_page_async(). | [
"Internal",
"version",
"of",
"fetch_page_async",
"()",
"."
] | def _fetch_page_async(self, page_size, **q_options):
"""Internal version of fetch_page_async()."""
q_options.setdefault('batch_size', page_size)
q_options.setdefault('produce_cursors', True)
it = self.iter(limit=page_size + 1, **q_options)
results = []
while (yield it.has_next_async()):
re... | [
"def",
"_fetch_page_async",
"(",
"self",
",",
"page_size",
",",
"*",
"*",
"q_options",
")",
":",
"q_options",
".",
"setdefault",
"(",
"'batch_size'",
",",
"page_size",
")",
"q_options",
".",
"setdefault",
"(",
"'produce_cursors'",
",",
"True",
")",
"it",
"="... | https://github.com/out0fmemory/GoAgent-Always-Available/blob/c4254984fea633ce3d1893fe5901debd9f22c2a9/server/lib/google/appengine/ext/ndb/query.py#L1359-L1373 | ||
holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/sympy/polys/polyclasses.py | python | DMP.compose | (f, g) | return per(dmp_compose(F, G, lev, dom)) | Computes functional composition of ``f`` and ``g``. | Computes functional composition of ``f`` and ``g``. | [
"Computes",
"functional",
"composition",
"of",
"f",
"and",
"g",
"."
] | def compose(f, g):
"""Computes functional composition of ``f`` and ``g``. """
lev, dom, per, F, G = f.unify(g)
return per(dmp_compose(F, G, lev, dom)) | [
"def",
"compose",
"(",
"f",
",",
"g",
")",
":",
"lev",
",",
"dom",
",",
"per",
",",
"F",
",",
"G",
"=",
"f",
".",
"unify",
"(",
"g",
")",
"return",
"per",
"(",
"dmp_compose",
"(",
"F",
",",
"G",
",",
"lev",
",",
"dom",
")",
")"
] | https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/sympy/polys/polyclasses.py#L723-L726 | |
Ledger-Donjon/lascar | 7a1fc2187a9b642efcdda5d9177f86ec2345d7ba | lascar/engine/engine.py | python | Engine.__init__ | (self, name) | :param name: the name chosen for the Engine | :param name: the name chosen for the Engine | [
":",
"param",
"name",
":",
"the",
"name",
"chosen",
"for",
"the",
"Engine"
] | def __init__(self, name):
"""
:param name: the name chosen for the Engine
"""
if name is None:
name = hex(id(self))[2:]
self.name = name
self.logger = logging.getLogger(__name__)
self.size_in_memory = 0
self.result = {}
self.finalize_... | [
"def",
"__init__",
"(",
"self",
",",
"name",
")",
":",
"if",
"name",
"is",
"None",
":",
"name",
"=",
"hex",
"(",
"id",
"(",
"self",
")",
")",
"[",
"2",
":",
"]",
"self",
".",
"name",
"=",
"name",
"self",
".",
"logger",
"=",
"logging",
".",
"g... | https://github.com/Ledger-Donjon/lascar/blob/7a1fc2187a9b642efcdda5d9177f86ec2345d7ba/lascar/engine/engine.py#L39-L55 | ||
josiah-wolf-oberholtzer/supriya | 5ca725a6b97edfbe016a75666d420ecfdf49592f | dev/etc/pending_ugens/DynKlank.py | python | DynKlank.specifications_array_ref | (self) | return self._inputs[index] | Gets `specifications_array_ref` input of DynKlank.
::
>>> dyn_klank = supriya.ugens.DynKlank.ar(
... decayscale=1,
... freqoffset=0,
... freqscale=1,
... input=input,
... specifications_array_ref=specifications_array_r... | Gets `specifications_array_ref` input of DynKlank. | [
"Gets",
"specifications_array_ref",
"input",
"of",
"DynKlank",
"."
] | def specifications_array_ref(self):
"""
Gets `specifications_array_ref` input of DynKlank.
::
>>> dyn_klank = supriya.ugens.DynKlank.ar(
... decayscale=1,
... freqoffset=0,
... freqscale=1,
... input=input,
... | [
"def",
"specifications_array_ref",
"(",
"self",
")",
":",
"index",
"=",
"self",
".",
"_ordered_input_names",
".",
"index",
"(",
"'specifications_array_ref'",
")",
"return",
"self",
".",
"_inputs",
"[",
"index",
"]"
] | https://github.com/josiah-wolf-oberholtzer/supriya/blob/5ca725a6b97edfbe016a75666d420ecfdf49592f/dev/etc/pending_ugens/DynKlank.py#L226-L244 | |
google-research/language | 61fa7260ac7d690d11ef72ca863e45a37c0bdc80 | language/templama/sling2facts.py | python | SlingExtractor.as_string | (self, x) | Return a string based on x.id or x.id[x.name]. | Return a string based on x.id or x.id[x.name]. | [
"Return",
"a",
"string",
"based",
"on",
"x",
".",
"id",
"or",
"x",
".",
"id",
"[",
"x",
".",
"name",
"]",
"."
] | def as_string(self, x):
"""Return a string based on x.id or x.id[x.name]."""
x_name = self.get_name(x)
if x is None:
x_str = 'None'
elif isinstance(x, sling.Frame) and 'id' in x:
x_str = x.id
else:
try:
x_str = str(x)
except UnicodeDecodeError:
x_str = 'None'
... | [
"def",
"as_string",
"(",
"self",
",",
"x",
")",
":",
"x_name",
"=",
"self",
".",
"get_name",
"(",
"x",
")",
"if",
"x",
"is",
"None",
":",
"x_str",
"=",
"'None'",
"elif",
"isinstance",
"(",
"x",
",",
"sling",
".",
"Frame",
")",
"and",
"'id'",
"in"... | https://github.com/google-research/language/blob/61fa7260ac7d690d11ef72ca863e45a37c0bdc80/language/templama/sling2facts.py#L370-L385 | ||
mozillazg/pypy | 2ff5cd960c075c991389f842c6d59e71cf0cb7d0 | pypy/module/cpyext/stubs.py | python | _PyImport_FindExtension | (space, name, filename) | For internal use only. | For internal use only. | [
"For",
"internal",
"use",
"only",
"."
] | def _PyImport_FindExtension(space, name, filename):
"""For internal use only."""
raise NotImplementedError | [
"def",
"_PyImport_FindExtension",
"(",
"space",
",",
"name",
",",
"filename",
")",
":",
"raise",
"NotImplementedError"
] | https://github.com/mozillazg/pypy/blob/2ff5cd960c075c991389f842c6d59e71cf0cb7d0/pypy/module/cpyext/stubs.py#L654-L656 | ||
rhinstaller/anaconda | 63edc8680f1b05cbfe11bef28703acba808c5174 | pyanaconda/input_checking.py | python | CheckResult.error_message | (self) | return self._error_message | Optional error message describing why the input is not valid.
:returns: why the input is bad (provided it is bad) or None
:rtype: str or None | Optional error message describing why the input is not valid. | [
"Optional",
"error",
"message",
"describing",
"why",
"the",
"input",
"is",
"not",
"valid",
"."
] | def error_message(self):
"""Optional error message describing why the input is not valid.
:returns: why the input is bad (provided it is bad) or None
:rtype: str or None
"""
return self._error_message | [
"def",
"error_message",
"(",
"self",
")",
":",
"return",
"self",
".",
"_error_message"
] | https://github.com/rhinstaller/anaconda/blob/63edc8680f1b05cbfe11bef28703acba808c5174/pyanaconda/input_checking.py#L218-L224 | |
pypr/pysph | 9cb9a859934939307c65a25cbf73e4ecc83fea4a | pysph/sph/integrator_cython_helper.py | python | IntegratorCythonHelper._check_arrays_for_properties | (self, dest, args) | Given a particle array name and a set of arguments used by an
integrator stepper method, check if the particle array has the
required props. | Given a particle array name and a set of arguments used by an
integrator stepper method, check if the particle array has the
required props. | [
"Given",
"a",
"particle",
"array",
"name",
"and",
"a",
"set",
"of",
"arguments",
"used",
"by",
"an",
"integrator",
"stepper",
"method",
"check",
"if",
"the",
"particle",
"array",
"has",
"the",
"required",
"props",
"."
] | def _check_arrays_for_properties(self, dest, args):
"""Given a particle array name and a set of arguments used by an
integrator stepper method, check if the particle array has the
required props.
"""
pa = self._particle_arrays[dest]
# Remove the 's_' or 'd_'
prop... | [
"def",
"_check_arrays_for_properties",
"(",
"self",
",",
"dest",
",",
"args",
")",
":",
"pa",
"=",
"self",
".",
"_particle_arrays",
"[",
"dest",
"]",
"# Remove the 's_' or 'd_'",
"props",
"=",
"set",
"(",
"[",
"x",
"[",
"2",
":",
"]",
"for",
"x",
"in",
... | https://github.com/pypr/pysph/blob/9cb9a859934939307c65a25cbf73e4ecc83fea4a/pysph/sph/integrator_cython_helper.py#L189-L208 | ||
openstack/octavia | 27e5b27d31c695ba72fb6750de2bdafd76e0d7d9 | octavia/db/repositories.py | python | ListenerRepository.create | (self, session, **model_kwargs) | return model.to_data_model() | Creates a new Listener with some validation. | Creates a new Listener with some validation. | [
"Creates",
"a",
"new",
"Listener",
"with",
"some",
"validation",
"."
] | def create(self, session, **model_kwargs):
"""Creates a new Listener with some validation."""
with session.begin(subtransactions=True):
listener_id = model_kwargs.get('id')
allowed_cidrs = set(model_kwargs.pop('allowed_cidrs', []) or [])
model_kwargs['allowed_cidrs'] ... | [
"def",
"create",
"(",
"self",
",",
"session",
",",
"*",
"*",
"model_kwargs",
")",
":",
"with",
"session",
".",
"begin",
"(",
"subtransactions",
"=",
"True",
")",
":",
"listener_id",
"=",
"model_kwargs",
".",
"get",
"(",
"'id'",
")",
"allowed_cidrs",
"=",... | https://github.com/openstack/octavia/blob/27e5b27d31c695ba72fb6750de2bdafd76e0d7d9/octavia/db/repositories.py#L1188-L1205 | |
saltstack/salt | fae5bc757ad0f1716483ce7ae180b451545c2058 | salt/modules/rh_ip.py | python | get_network_settings | () | return _read_file(_RH_NETWORK_FILE) | Return the contents of the global network script.
CLI Example:
.. code-block:: bash
salt '*' ip.get_network_settings | Return the contents of the global network script. | [
"Return",
"the",
"contents",
"of",
"the",
"global",
"network",
"script",
"."
] | def get_network_settings():
"""
Return the contents of the global network script.
CLI Example:
.. code-block:: bash
salt '*' ip.get_network_settings
"""
return _read_file(_RH_NETWORK_FILE) | [
"def",
"get_network_settings",
"(",
")",
":",
"return",
"_read_file",
"(",
"_RH_NETWORK_FILE",
")"
] | https://github.com/saltstack/salt/blob/fae5bc757ad0f1716483ce7ae180b451545c2058/salt/modules/rh_ip.py#L1205-L1215 | |
Komodo/KomodoEdit | 61edab75dce2bdb03943b387b0608ea36f548e8e | src/codeintel/play/core.py | python | NotifyEvent.Veto | (*args, **kwargs) | return _core.NotifyEvent_Veto(*args, **kwargs) | Veto() | Veto() | [
"Veto",
"()"
] | def Veto(*args, **kwargs):
"""Veto()"""
return _core.NotifyEvent_Veto(*args, **kwargs) | [
"def",
"Veto",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_core",
".",
"NotifyEvent_Veto",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/Komodo/KomodoEdit/blob/61edab75dce2bdb03943b387b0608ea36f548e8e/src/codeintel/play/core.py#L3180-L3182 | |
canonical/cloud-init | dc1aabfca851e520693c05322f724bd102c76364 | cloudinit/sources/helpers/openstack.py | python | ConfigDriveReader.read_v1 | (self) | return results | Reads a version 1 formatted location.
Return a dict with metadata, userdata, dsmode, files and version (1).
If not a valid path, raise a NonReadable exception. | Reads a version 1 formatted location. | [
"Reads",
"a",
"version",
"1",
"formatted",
"location",
"."
] | def read_v1(self):
"""Reads a version 1 formatted location.
Return a dict with metadata, userdata, dsmode, files and version (1).
If not a valid path, raise a NonReadable exception.
"""
found = {}
for name in FILES_V1.keys():
path = self._path_join(self.bas... | [
"def",
"read_v1",
"(",
"self",
")",
":",
"found",
"=",
"{",
"}",
"for",
"name",
"in",
"FILES_V1",
".",
"keys",
"(",
")",
":",
"path",
"=",
"self",
".",
"_path_join",
"(",
"self",
".",
"base_path",
",",
"name",
")",
"if",
"os",
".",
"path",
".",
... | https://github.com/canonical/cloud-init/blob/dc1aabfca851e520693c05322f724bd102c76364/cloudinit/sources/helpers/openstack.py#L394-L465 | |
hasanirtiza/Pedestron | 3bdcf8476edc0741f28a80dd4cb161ac532507ee | tools/ECPB/eval.py | python | evaluate_detection | (results_path, det_path, gt_path, det_method_name, eval_type='pedestrian') | [] | def evaluate_detection(results_path, det_path, gt_path, det_method_name, eval_type='pedestrian'):
# print ('Start evaluation for {}'.format(det_method_name))
results = []
for difficulty in ['reasonable', 'small', 'occluded', 'all']:
# False is the default case used by the benchmark server,
#... | [
"def",
"evaluate_detection",
"(",
"results_path",
",",
"det_path",
",",
"gt_path",
",",
"det_method_name",
",",
"eval_type",
"=",
"'pedestrian'",
")",
":",
"# print ('Start evaluation for {}'.format(det_method_name))",
"results",
"=",
"[",
"]",
"for",
"difficulty",
"in"... | https://github.com/hasanirtiza/Pedestron/blob/3bdcf8476edc0741f28a80dd4cb161ac532507ee/tools/ECPB/eval.py#L111-L121 | ||||
kerlomz/captcha_trainer | 72b0cd02c66a9b44073820098155b3278c8bde61 | optimizer/AdaBound.py | python | AdaBoundOptimizer._resource_apply_sparse | (self, grad, var, indices) | return self._apply_sparse_shared(
grad, var, indices, self._resource_scatter_add) | [] | def _resource_apply_sparse(self, grad, var, indices):
return self._apply_sparse_shared(
grad, var, indices, self._resource_scatter_add) | [
"def",
"_resource_apply_sparse",
"(",
"self",
",",
"grad",
",",
"var",
",",
"indices",
")",
":",
"return",
"self",
".",
"_apply_sparse_shared",
"(",
"grad",
",",
"var",
",",
"indices",
",",
"self",
".",
"_resource_scatter_add",
")"
] | https://github.com/kerlomz/captcha_trainer/blob/72b0cd02c66a9b44073820098155b3278c8bde61/optimizer/AdaBound.py#L240-L242 | |||
romanz/amodem | 883ecb433415a7f8398e903acbd1e2bb537bf822 | amodem/levinson.py | python | solver | (t, y) | return x | Solve Mx = y for x, where M[i,j] = t[|i-j|], in O(N^2) steps.
See http://en.wikipedia.org/wiki/Levinson_recursion for details. | Solve Mx = y for x, where M[i,j] = t[|i-j|], in O(N^2) steps.
See http://en.wikipedia.org/wiki/Levinson_recursion for details. | [
"Solve",
"Mx",
"=",
"y",
"for",
"x",
"where",
"M",
"[",
"i",
"j",
"]",
"=",
"t",
"[",
"|i",
"-",
"j|",
"]",
"in",
"O",
"(",
"N^2",
")",
"steps",
".",
"See",
"http",
":",
"//",
"en",
".",
"wikipedia",
".",
"org",
"/",
"wiki",
"/",
"Levinson_... | def solver(t, y):
""" Solve Mx = y for x, where M[i,j] = t[|i-j|], in O(N^2) steps.
See http://en.wikipedia.org/wiki/Levinson_recursion for details.
"""
N = len(t)
assert len(y) == N
t0 = np.array([1.0 / t[0]])
f = [t0] # forward vectors
b = [t0] # backward vectors
for n in ra... | [
"def",
"solver",
"(",
"t",
",",
"y",
")",
":",
"N",
"=",
"len",
"(",
"t",
")",
"assert",
"len",
"(",
"y",
")",
"==",
"N",
"t0",
"=",
"np",
".",
"array",
"(",
"[",
"1.0",
"/",
"t",
"[",
"0",
"]",
"]",
")",
"f",
"=",
"[",
"t0",
"]",
"# ... | https://github.com/romanz/amodem/blob/883ecb433415a7f8398e903acbd1e2bb537bf822/amodem/levinson.py#L4-L30 | |
mesalock-linux/mesapy | ed546d59a21b36feb93e2309d5c6b75aa0ad95c9 | lib-python/2.7/logging/__init__.py | python | Handler.close | (self) | Tidy up any resources used by the handler.
This version removes the handler from an internal map of handlers,
_handlers, which is used for handler lookup by name. Subclasses
should ensure that this gets called from overridden close()
methods. | Tidy up any resources used by the handler. | [
"Tidy",
"up",
"any",
"resources",
"used",
"by",
"the",
"handler",
"."
] | def close(self):
"""
Tidy up any resources used by the handler.
This version removes the handler from an internal map of handlers,
_handlers, which is used for handler lookup by name. Subclasses
should ensure that this gets called from overridden close()
methods.
... | [
"def",
"close",
"(",
"self",
")",
":",
"#get the module data lock, as we're updating a shared structure.",
"_acquireLock",
"(",
")",
"try",
":",
"#unlikely to raise an exception, but you never know...",
"if",
"self",
".",
"_name",
"and",
"self",
".",
"_name",
"in",
"_hand... | https://github.com/mesalock-linux/mesapy/blob/ed546d59a21b36feb93e2309d5c6b75aa0ad95c9/lib-python/2.7/logging/__init__.py#L792-L807 | ||
spesmilo/electrum | bdbd59300fbd35b01605e66145458e5f396108e8 | electrum/lnpeer.py | python | can_send_shutdown | (self, chan: Channel) | return False | [] | def can_send_shutdown(self, chan: Channel):
if chan.get_state() >= ChannelState.OPENING:
return True
if chan.constraints.is_initiator and chan.channel_id in self.funding_created_sent:
return True
if not chan.constraints.is_initiator and chan.channel_id in self.funding_sig... | [
"def",
"can_send_shutdown",
"(",
"self",
",",
"chan",
":",
"Channel",
")",
":",
"if",
"chan",
".",
"get_state",
"(",
")",
">=",
"ChannelState",
".",
"OPENING",
":",
"return",
"True",
"if",
"chan",
".",
"constraints",
".",
"is_initiator",
"and",
"chan",
"... | https://github.com/spesmilo/electrum/blob/bdbd59300fbd35b01605e66145458e5f396108e8/electrum/lnpeer.py#L1729-L1736 | |||
log2timeline/plaso | fe2e316b8c76a0141760c0f2f181d84acb83abc2 | plaso/engine/worker.py | python | EventExtractionWorker._AnalyzeDataStream | (
self, file_entry, data_stream_name, display_name, event_data_stream) | Analyzes the contents of a specific data stream of a file entry.
The results of the analyzers are set in the event data stream as
attributes that are added to produced event objects. Note that some
file systems allow directories to have data streams, such as NTFS.
Args:
file_entry (dfvfs.FileEnt... | Analyzes the contents of a specific data stream of a file entry. | [
"Analyzes",
"the",
"contents",
"of",
"a",
"specific",
"data",
"stream",
"of",
"a",
"file",
"entry",
"."
] | def _AnalyzeDataStream(
self, file_entry, data_stream_name, display_name, event_data_stream):
"""Analyzes the contents of a specific data stream of a file entry.
The results of the analyzers are set in the event data stream as
attributes that are added to produced event objects. Note that some
fi... | [
"def",
"_AnalyzeDataStream",
"(",
"self",
",",
"file_entry",
",",
"data_stream_name",
",",
"display_name",
",",
"event_data_stream",
")",
":",
"logger",
".",
"debug",
"(",
"'[AnalyzeDataStream] analyzing file: {0:s}'",
".",
"format",
"(",
"display_name",
")",
")",
"... | https://github.com/log2timeline/plaso/blob/fe2e316b8c76a0141760c0f2f181d84acb83abc2/plaso/engine/worker.py#L129-L170 | ||
wxWidgets/Phoenix | b2199e299a6ca6d866aa6f3d0888499136ead9d6 | wx/lib/agw/aui/framemanager.py | python | AuiCenterDockingGuide.HitTest | (self, x, y) | return -1 | Checks if the mouse position is inside the target windows rect.
:param integer `x`: the `x` mouse position;
:param integer `y`: the `y` mouse position. | Checks if the mouse position is inside the target windows rect. | [
"Checks",
"if",
"the",
"mouse",
"position",
"is",
"inside",
"the",
"target",
"windows",
"rect",
"."
] | def HitTest(self, x, y):
"""
Checks if the mouse position is inside the target windows rect.
:param integer `x`: the `x` mouse position;
:param integer `y`: the `y` mouse position.
"""
if not self._useAero:
if self.targetLeft.GetScreenRect().Contains((x, y))... | [
"def",
"HitTest",
"(",
"self",
",",
"x",
",",
"y",
")",
":",
"if",
"not",
"self",
".",
"_useAero",
":",
"if",
"self",
".",
"targetLeft",
".",
"GetScreenRect",
"(",
")",
".",
"Contains",
"(",
"(",
"x",
",",
"y",
")",
")",
":",
"return",
"wx",
".... | https://github.com/wxWidgets/Phoenix/blob/b2199e299a6ca6d866aa6f3d0888499136ead9d6/wx/lib/agw/aui/framemanager.py#L2411-L2438 | |
pygae/clifford | 0b6cffb9a6d44ecb7a666f6b08b1788fc94a0ab6 | clifford/tools/g3c/__init__.py | python | get_radius_from_sphere | (sphere) | return math.sqrt(abs(dual_sphere * dual_sphere)) | Returns the radius of a sphere | Returns the radius of a sphere | [
"Returns",
"the",
"radius",
"of",
"a",
"sphere"
] | def get_radius_from_sphere(sphere):
"""
Returns the radius of a sphere
"""
dual_sphere = sphere * I5
dual_sphere = dual_sphere / (-dual_sphere | ninf)[()]
return math.sqrt(abs(dual_sphere * dual_sphere)) | [
"def",
"get_radius_from_sphere",
"(",
"sphere",
")",
":",
"dual_sphere",
"=",
"sphere",
"*",
"I5",
"dual_sphere",
"=",
"dual_sphere",
"/",
"(",
"-",
"dual_sphere",
"|",
"ninf",
")",
"[",
"(",
")",
"]",
"return",
"math",
".",
"sqrt",
"(",
"abs",
"(",
"d... | https://github.com/pygae/clifford/blob/0b6cffb9a6d44ecb7a666f6b08b1788fc94a0ab6/clifford/tools/g3c/__init__.py#L992-L998 | |
twilio/twilio-python | 6e1e811ea57a1edfadd5161ace87397c563f6915 | twilio/rest/verify/v2/service/rate_limit/bucket.py | python | BucketContext.update | (self, max=values.unset, interval=values.unset) | return BucketInstance(
self._version,
payload,
service_sid=self._solution['service_sid'],
rate_limit_sid=self._solution['rate_limit_sid'],
sid=self._solution['sid'],
) | Update the BucketInstance
:param unicode max: Max number of requests.
:param unicode interval: Number of seconds that the rate limit will be enforced over.
:returns: The updated BucketInstance
:rtype: twilio.rest.verify.v2.service.rate_limit.bucket.BucketInstance | Update the BucketInstance | [
"Update",
"the",
"BucketInstance"
] | def update(self, max=values.unset, interval=values.unset):
"""
Update the BucketInstance
:param unicode max: Max number of requests.
:param unicode interval: Number of seconds that the rate limit will be enforced over.
:returns: The updated BucketInstance
:rtype: twilio... | [
"def",
"update",
"(",
"self",
",",
"max",
"=",
"values",
".",
"unset",
",",
"interval",
"=",
"values",
".",
"unset",
")",
":",
"data",
"=",
"values",
".",
"of",
"(",
"{",
"'Max'",
":",
"max",
",",
"'Interval'",
":",
"interval",
",",
"}",
")",
"pa... | https://github.com/twilio/twilio-python/blob/6e1e811ea57a1edfadd5161ace87397c563f6915/twilio/rest/verify/v2/service/rate_limit/bucket.py#L241-L261 | |
grow/grow | 97fc21730b6a674d5d33948d94968e79447ce433 | grow/translations/catalog_holder.py | python | Catalogs.init | (self, locales, include_header=None) | [] | def init(self, locales, include_header=None):
_, _, include_header, _ = \
self.get_extract_config(include_header=include_header)
for locale in locales:
catalog = self.get(locale)
catalog.init(template_path=self.template_path,
include_header=in... | [
"def",
"init",
"(",
"self",
",",
"locales",
",",
"include_header",
"=",
"None",
")",
":",
"_",
",",
"_",
",",
"include_header",
",",
"_",
"=",
"self",
".",
"get_extract_config",
"(",
"include_header",
"=",
"include_header",
")",
"for",
"locale",
"in",
"l... | https://github.com/grow/grow/blob/97fc21730b6a674d5d33948d94968e79447ce433/grow/translations/catalog_holder.py#L154-L160 | ||||
nortikin/sverchok | 7b460f01317c15f2681bfa3e337c5e7346f3711b | data_structure.py | python | socket_id | (socket) | return socket.socket_id | return an usable and semi stable hash | return an usable and semi stable hash | [
"return",
"an",
"usable",
"and",
"semi",
"stable",
"hash"
] | def socket_id(socket):
"""return an usable and semi stable hash"""
return socket.socket_id | [
"def",
"socket_id",
"(",
"socket",
")",
":",
"return",
"socket",
".",
"socket_id"
] | https://github.com/nortikin/sverchok/blob/7b460f01317c15f2681bfa3e337c5e7346f3711b/data_structure.py#L1446-L1448 | |
mjwestcott/Goodrich | dc2516591bd28488516c0337a62e64248debe47c | ch10/sorted_table_map.py | python | SortedTableMap._find_index | (self, k, low, high) | Return index of the leftmost item with key greater than or equal to k.
Return high + 1 if no such item qualifies.
That is, j will be returned such that:
all items of slice table[low:j] have key < k
all items of slice table[j:high+1] have key >= k | Return index of the leftmost item with key greater than or equal to k. | [
"Return",
"index",
"of",
"the",
"leftmost",
"item",
"with",
"key",
"greater",
"than",
"or",
"equal",
"to",
"k",
"."
] | def _find_index(self, k, low, high):
"""Return index of the leftmost item with key greater than or equal to k.
Return high + 1 if no such item qualifies.
That is, j will be returned such that:
all items of slice table[low:j] have key < k
all items of slice table[j:high+1] have key >= k
"... | [
"def",
"_find_index",
"(",
"self",
",",
"k",
",",
"low",
",",
"high",
")",
":",
"if",
"high",
"<",
"low",
":",
"return",
"high",
"+",
"1",
"# no element qualifies",
"else",
":",
"mid",
"=",
"(",
"low",
"+",
"high",
")",
"//",
"2",
"if",
"k",
"=="... | https://github.com/mjwestcott/Goodrich/blob/dc2516591bd28488516c0337a62e64248debe47c/ch10/sorted_table_map.py#L28-L46 | ||
MTG/freesound | 72f234a656ce31f5f625f0bba5376dd4160b478d | sounds/models.py | python | BulkUploadProgress.has_global_validation_errors | (self) | return False | Returns True if the validation finished with global errors | Returns True if the validation finished with global errors | [
"Returns",
"True",
"if",
"the",
"validation",
"finished",
"with",
"global",
"errors"
] | def has_global_validation_errors(self):
"""
Returns True if the validation finished with global errors
"""
if self.validation_output is not None:
return len(self.validation_output['global_errors']) > 0
return False | [
"def",
"has_global_validation_errors",
"(",
"self",
")",
":",
"if",
"self",
".",
"validation_output",
"is",
"not",
"None",
":",
"return",
"len",
"(",
"self",
".",
"validation_output",
"[",
"'global_errors'",
"]",
")",
">",
"0",
"return",
"False"
] | https://github.com/MTG/freesound/blob/72f234a656ce31f5f625f0bba5376dd4160b478d/sounds/models.py#L262-L268 | |
fandoghpaas/fandogh-cli | 8bb3e4e49ebcfea3a3defb1db1b1831e27ba8af7 | fandogh_cli/service_commands.py | python | service_destroy | (service_name, archived) | Destroy service | Destroy service | [
"Destroy",
"service"
] | def service_destroy(service_name, archived):
"""Destroy service"""
click.echo(
'you are about to destroy service with name {}.'.format(service_name))
click.echo('It might take a while!')
message = present(lambda: destroy_service(service_name, archived))
click.echo(message) | [
"def",
"service_destroy",
"(",
"service_name",
",",
"archived",
")",
":",
"click",
".",
"echo",
"(",
"'you are about to destroy service with name {}.'",
".",
"format",
"(",
"service_name",
")",
")",
"click",
".",
"echo",
"(",
"'It might take a while!'",
")",
"messag... | https://github.com/fandoghpaas/fandogh-cli/blob/8bb3e4e49ebcfea3a3defb1db1b1831e27ba8af7/fandogh_cli/service_commands.py#L135-L141 | ||
sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/modular/hecke/module.py | python | HeckeModule_free_module.system_of_eigenvalues | (self, n, name='alpha') | return [self.eigenvalue(m, name=name) for m in range(1, n + 1)] | r"""
Assuming that ``self`` is a simple space of modular symbols, return the
eigenvalues `[a_1, \ldots, a_nmax]` of the Hecke
operators on self. See ``self.eigenvalue(n)`` for more
details.
INPUT:
- ``n`` - number of eigenvalues
- ``alpha`` - name of generate... | r"""
Assuming that ``self`` is a simple space of modular symbols, return the
eigenvalues `[a_1, \ldots, a_nmax]` of the Hecke
operators on self. See ``self.eigenvalue(n)`` for more
details. | [
"r",
"Assuming",
"that",
"self",
"is",
"a",
"simple",
"space",
"of",
"modular",
"symbols",
"return",
"the",
"eigenvalues",
"[",
"a_1",
"\\",
"ldots",
"a_nmax",
"]",
"of",
"the",
"Hecke",
"operators",
"on",
"self",
".",
"See",
"self",
".",
"eigenvalue",
"... | def system_of_eigenvalues(self, n, name='alpha'):
r"""
Assuming that ``self`` is a simple space of modular symbols, return the
eigenvalues `[a_1, \ldots, a_nmax]` of the Hecke
operators on self. See ``self.eigenvalue(n)`` for more
details.
INPUT:
- ``n`` - numb... | [
"def",
"system_of_eigenvalues",
"(",
"self",
",",
"n",
",",
"name",
"=",
"'alpha'",
")",
":",
"return",
"[",
"self",
".",
"eigenvalue",
"(",
"m",
",",
"name",
"=",
"name",
")",
"for",
"m",
"in",
"range",
"(",
"1",
",",
"n",
"+",
"1",
")",
"]"
] | https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/modular/hecke/module.py#L1664-L1729 | |
edisonlz/fastor | 342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3 | base/site-packages/requests/packages/urllib3/connectionpool.py | python | HTTPSConnectionPool._prepare_conn | (self, conn) | return conn | Prepare the ``connection`` for :meth:`urllib3.util.ssl_wrap_socket`
and establish the tunnel if proxy is used. | Prepare the ``connection`` for :meth:`urllib3.util.ssl_wrap_socket`
and establish the tunnel if proxy is used. | [
"Prepare",
"the",
"connection",
"for",
":",
"meth",
":",
"urllib3",
".",
"util",
".",
"ssl_wrap_socket",
"and",
"establish",
"the",
"tunnel",
"if",
"proxy",
"is",
"used",
"."
] | def _prepare_conn(self, conn):
"""
Prepare the ``connection`` for :meth:`urllib3.util.ssl_wrap_socket`
and establish the tunnel if proxy is used.
"""
if isinstance(conn, VerifiedHTTPSConnection):
conn.set_cert(key_file=self.key_file,
cert_fi... | [
"def",
"_prepare_conn",
"(",
"self",
",",
"conn",
")",
":",
"if",
"isinstance",
"(",
"conn",
",",
"VerifiedHTTPSConnection",
")",
":",
"conn",
".",
"set_cert",
"(",
"key_file",
"=",
"self",
".",
"key_file",
",",
"cert_file",
"=",
"self",
".",
"cert_file",
... | https://github.com/edisonlz/fastor/blob/342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3/base/site-packages/requests/packages/urllib3/connectionpool.py#L716-L732 | |
chribsen/simple-machine-learning-examples | dc94e52a4cebdc8bb959ff88b81ff8cfeca25022 | venv/lib/python2.7/site-packages/pip/vcs/__init__.py | python | VersionControl.get_src_requirement | (self, dist, location) | Return a string representing the requirement needed to
redownload the files currently present in location, something
like:
{repository_url}@{revision}#egg={project_name}-{version_identifier} | Return a string representing the requirement needed to
redownload the files currently present in location, something
like:
{repository_url} | [
"Return",
"a",
"string",
"representing",
"the",
"requirement",
"needed",
"to",
"redownload",
"the",
"files",
"currently",
"present",
"in",
"location",
"something",
"like",
":",
"{",
"repository_url",
"}"
] | def get_src_requirement(self, dist, location):
"""
Return a string representing the requirement needed to
redownload the files currently present in location, something
like:
{repository_url}@{revision}#egg={project_name}-{version_identifier}
"""
raise NotImpleme... | [
"def",
"get_src_requirement",
"(",
"self",
",",
"dist",
",",
"location",
")",
":",
"raise",
"NotImplementedError"
] | https://github.com/chribsen/simple-machine-learning-examples/blob/dc94e52a4cebdc8bb959ff88b81ff8cfeca25022/venv/lib/python2.7/site-packages/pip/vcs/__init__.py#L288-L295 | ||
PaddlePaddle/PaddleX | 2bab73f81ab54e328204e7871e6ae4a82e719f5d | paddlex/ppdet/data/transform/keypoint_operators.py | python | register_keypointop | (cls) | return serializable(cls) | [] | def register_keypointop(cls):
return serializable(cls) | [
"def",
"register_keypointop",
"(",
"cls",
")",
":",
"return",
"serializable",
"(",
"cls",
")"
] | https://github.com/PaddlePaddle/PaddleX/blob/2bab73f81ab54e328204e7871e6ae4a82e719f5d/paddlex/ppdet/data/transform/keypoint_operators.py#L55-L56 | |||
csu/quora-api | 59c8bac0016a29cca1236c39410298a036341e02 | server.py | python | user_upvotes_route | (user) | return jsonify({'items': Quora.get_activity(user).upvotes}) | [] | def user_upvotes_route(user):
return jsonify({'items': Quora.get_activity(user).upvotes}) | [
"def",
"user_upvotes_route",
"(",
"user",
")",
":",
"return",
"jsonify",
"(",
"{",
"'items'",
":",
"Quora",
".",
"get_activity",
"(",
"user",
")",
".",
"upvotes",
"}",
")"
] | https://github.com/csu/quora-api/blob/59c8bac0016a29cca1236c39410298a036341e02/server.py#L85-L86 | |||
holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/sympy/polys/densearith.py | python | dmp_rr_div | (f, g, u, K) | return q, r | Multivariate division with remainder over a ring.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x,y = ring("x,y", ZZ)
>>> R.dmp_rr_div(x**2 + x*y, 2*x + 2)
(0, x**2 + x*y) | Multivariate division with remainder over a ring. | [
"Multivariate",
"division",
"with",
"remainder",
"over",
"a",
"ring",
"."
] | def dmp_rr_div(f, g, u, K):
"""
Multivariate division with remainder over a ring.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x,y = ring("x,y", ZZ)
>>> R.dmp_rr_div(x**2 + x*y, 2*x + 2)
(0, x**2 + x*y)
"""
if not u:
return dup_rr_div(f, g, K)
df... | [
"def",
"dmp_rr_div",
"(",
"f",
",",
"g",
",",
"u",
",",
"K",
")",
":",
"if",
"not",
"u",
":",
"return",
"dup_rr_div",
"(",
"f",
",",
"g",
",",
"K",
")",
"df",
"=",
"dmp_degree",
"(",
"f",
",",
"u",
")",
"dg",
"=",
"dmp_degree",
"(",
"g",
",... | https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/sympy/polys/densearith.py#L1359-L1409 | |
tensorflow/datasets | 2e496976d7d45550508395fb2f35cf958c8a3414 | tensorflow_datasets/audio/savee.py | python | Savee._generate_examples | (self, file_names) | Yields examples. | Yields examples. | [
"Yields",
"examples",
"."
] | def _generate_examples(self, file_names):
"""Yields examples."""
for fname in file_names:
folder, wavname = os.path.split(fname)
_, speaker_id = os.path.split(folder)
label_abbrev = re.match('^([a-zA-Z]+)', wavname).group(1) # pytype: disable=attribute-error
label = LABEL_MAP[label_abbr... | [
"def",
"_generate_examples",
"(",
"self",
",",
"file_names",
")",
":",
"for",
"fname",
"in",
"file_names",
":",
"folder",
",",
"wavname",
"=",
"os",
".",
"path",
".",
"split",
"(",
"fname",
")",
"_",
",",
"speaker_id",
"=",
"os",
".",
"path",
".",
"s... | https://github.com/tensorflow/datasets/blob/2e496976d7d45550508395fb2f35cf958c8a3414/tensorflow_datasets/audio/savee.py#L189-L197 | ||
gevent/gevent | ae2cb5aeb2aea8987efcb90a4c50ca4e1ee12c31 | src/gevent/_waiter.py | python | Waiter.throw | (self, *throw_args) | Switch to the greenlet with the exception. If there's no greenlet, store the exception. | Switch to the greenlet with the exception. If there's no greenlet, store the exception. | [
"Switch",
"to",
"the",
"greenlet",
"with",
"the",
"exception",
".",
"If",
"there",
"s",
"no",
"greenlet",
"store",
"the",
"exception",
"."
] | def throw(self, *throw_args):
"""Switch to the greenlet with the exception. If there's no greenlet, store the exception."""
greenlet = self.greenlet
if greenlet is None:
self._exception = throw_args
else:
if getcurrent() is not self.hub: # pylint:disable=undefined... | [
"def",
"throw",
"(",
"self",
",",
"*",
"throw_args",
")",
":",
"greenlet",
"=",
"self",
".",
"greenlet",
"if",
"greenlet",
"is",
"None",
":",
"self",
".",
"_exception",
"=",
"throw_args",
"else",
":",
"if",
"getcurrent",
"(",
")",
"is",
"not",
"self",
... | https://github.com/gevent/gevent/blob/ae2cb5aeb2aea8987efcb90a4c50ca4e1ee12c31/src/gevent/_waiter.py#L129-L141 | ||
minio/minio-py | b3ba3bf99fe6b9ff2b28855550d6ab5345c134e3 | minio/datatypes.py | python | ListMultipartUploadsResult.key_marker | (self) | return self._key_marker | Get key marker. | Get key marker. | [
"Get",
"key",
"marker",
"."
] | def key_marker(self):
"""Get key marker."""
return self._key_marker | [
"def",
"key_marker",
"(",
"self",
")",
":",
"return",
"self",
".",
"_key_marker"
] | https://github.com/minio/minio-py/blob/b3ba3bf99fe6b9ff2b28855550d6ab5345c134e3/minio/datatypes.py#L591-L593 | |
tmulc18/Distributed-TensorFlow-Guide | 8e7fec757112a3ab5dccff93e848e7617ef7ed3e | DOWNPOUR/DOWNPOUR.py | python | add_global_variables_to_local_collection | () | return r | Adds all variables from the global collection
to the local collection.
Returns the list of variables added. | Adds all variables from the global collection
to the local collection. | [
"Adds",
"all",
"variables",
"from",
"the",
"global",
"collection",
"to",
"the",
"local",
"collection",
"."
] | def add_global_variables_to_local_collection():
"""Adds all variables from the global collection
to the local collection.
Returns the list of variables added.
"""
r =[]
for var in tf.get_default_graph()._collections[tf.GraphKeys.GLOBAL_VARIABLES]:
tf.add_to_collection(tf.GraphKeys.LOCAL_VARIABLES,var)
r.appe... | [
"def",
"add_global_variables_to_local_collection",
"(",
")",
":",
"r",
"=",
"[",
"]",
"for",
"var",
"in",
"tf",
".",
"get_default_graph",
"(",
")",
".",
"_collections",
"[",
"tf",
".",
"GraphKeys",
".",
"GLOBAL_VARIABLES",
"]",
":",
"tf",
".",
"add_to_collec... | https://github.com/tmulc18/Distributed-TensorFlow-Guide/blob/8e7fec757112a3ab5dccff93e848e7617ef7ed3e/DOWNPOUR/DOWNPOUR.py#L216-L226 | |
securesystemslab/zippy | ff0e84ac99442c2c55fe1d285332cfd4e185e089 | zippy/benchmarks/src/benchmarks/whoosh/src/whoosh/matching/binary.py | python | DisjunctionMaxMatcher.skip_to_quality | (self, minquality) | return skipped | [] | def skip_to_quality(self, minquality):
a = self.a
b = self.b
# Short circuit if one matcher is inactive
if not a.is_active():
sk = b.skip_to_quality(minquality)
return sk
elif not b.is_active():
return a.skip_to_quality(minquality)
sk... | [
"def",
"skip_to_quality",
"(",
"self",
",",
"minquality",
")",
":",
"a",
"=",
"self",
".",
"a",
"b",
"=",
"self",
".",
"b",
"# Short circuit if one matcher is inactive",
"if",
"not",
"a",
".",
"is_active",
"(",
")",
":",
"sk",
"=",
"b",
".",
"skip_to_qua... | https://github.com/securesystemslab/zippy/blob/ff0e84ac99442c2c55fe1d285332cfd4e185e089/zippy/benchmarks/src/benchmarks/whoosh/src/whoosh/matching/binary.py#L390-L411 | |||
tdamdouni/Pythonista | 3e082d53b6b9b501a3c8cf3251a8ad4c8be9c2ad | stash/pep8.py | python | Checker.report_invalid_syntax | (self) | Check if the syntax is valid. | Check if the syntax is valid. | [
"Check",
"if",
"the",
"syntax",
"is",
"valid",
"."
] | def report_invalid_syntax(self):
"""Check if the syntax is valid."""
(exc_type, exc) = sys.exc_info()[:2]
if len(exc.args) > 1:
offset = exc.args[1]
if len(offset) > 2:
offset = offset[1:3]
else:
offset = (1, 0)
self.report_erro... | [
"def",
"report_invalid_syntax",
"(",
"self",
")",
":",
"(",
"exc_type",
",",
"exc",
")",
"=",
"sys",
".",
"exc_info",
"(",
")",
"[",
":",
"2",
"]",
"if",
"len",
"(",
"exc",
".",
"args",
")",
">",
"1",
":",
"offset",
"=",
"exc",
".",
"args",
"["... | https://github.com/tdamdouni/Pythonista/blob/3e082d53b6b9b501a3c8cf3251a8ad4c8be9c2ad/stash/pep8.py#L1425-L1436 | ||
caiiiac/Machine-Learning-with-Python | 1a26c4467da41ca4ebc3d5bd789ea942ef79422f | MachineLearning/venv/lib/python3.5/site-packages/sklearn/decomposition/pca.py | python | PCA.score_samples | (self, X) | return log_like | Return the log-likelihood of each sample.
See. "Pattern Recognition and Machine Learning"
by C. Bishop, 12.2.1 p. 574
or http://www.miketipping.com/papers/met-mppca.pdf
Parameters
----------
X: array, shape(n_samples, n_features)
The data.
Returns
... | Return the log-likelihood of each sample. | [
"Return",
"the",
"log",
"-",
"likelihood",
"of",
"each",
"sample",
"."
] | def score_samples(self, X):
"""Return the log-likelihood of each sample.
See. "Pattern Recognition and Machine Learning"
by C. Bishop, 12.2.1 p. 574
or http://www.miketipping.com/papers/met-mppca.pdf
Parameters
----------
X: array, shape(n_samples, n_features)
... | [
"def",
"score_samples",
"(",
"self",
",",
"X",
")",
":",
"check_is_fitted",
"(",
"self",
",",
"'mean_'",
")",
"X",
"=",
"check_array",
"(",
"X",
")",
"Xr",
"=",
"X",
"-",
"self",
".",
"mean_",
"n_features",
"=",
"X",
".",
"shape",
"[",
"1",
"]",
... | https://github.com/caiiiac/Machine-Learning-with-Python/blob/1a26c4467da41ca4ebc3d5bd789ea942ef79422f/MachineLearning/venv/lib/python3.5/site-packages/sklearn/decomposition/pca.py#L485-L512 | |
NVIDIA/NeMo | 5b0c0b4dec12d87d3cd960846de4105309ce938e | nemo/collections/asr/data/audio_to_text_dataset.py | python | get_bpe_dataset | (
config: dict, tokenizer: 'TokenizerSpec', augmentor: Optional['AudioAugmentor'] = None
) | return dataset | Instantiates a Byte Pair Encoding / Word Piece Encoding based AudioToBPEDataset.
Args:
config: Config of the AudioToBPEDataset.
tokenizer: An instance of a TokenizerSpec object.
augmentor: Optional AudioAugmentor object for augmentations on audio data.
Returns:
An instance of A... | Instantiates a Byte Pair Encoding / Word Piece Encoding based AudioToBPEDataset. | [
"Instantiates",
"a",
"Byte",
"Pair",
"Encoding",
"/",
"Word",
"Piece",
"Encoding",
"based",
"AudioToBPEDataset",
"."
] | def get_bpe_dataset(
config: dict, tokenizer: 'TokenizerSpec', augmentor: Optional['AudioAugmentor'] = None
) -> audio_to_text.AudioToBPEDataset:
"""
Instantiates a Byte Pair Encoding / Word Piece Encoding based AudioToBPEDataset.
Args:
config: Config of the AudioToBPEDataset.
tokenizer... | [
"def",
"get_bpe_dataset",
"(",
"config",
":",
"dict",
",",
"tokenizer",
":",
"'TokenizerSpec'",
",",
"augmentor",
":",
"Optional",
"[",
"'AudioAugmentor'",
"]",
"=",
"None",
")",
"->",
"audio_to_text",
".",
"AudioToBPEDataset",
":",
"dataset",
"=",
"audio_to_tex... | https://github.com/NVIDIA/NeMo/blob/5b0c0b4dec12d87d3cd960846de4105309ce938e/nemo/collections/asr/data/audio_to_text_dataset.py#L104-L131 | |
bendmorris/static-python | 2e0f8c4d7ed5b359dc7d8a75b6fb37e6b6c5c473 | Lib/pydoc.py | python | TextDoc.docdata | (self, object, name=None, mod=None, cl=None) | return self._docdescriptor(name, object, mod) | Produce text documentation for a data descriptor. | Produce text documentation for a data descriptor. | [
"Produce",
"text",
"documentation",
"for",
"a",
"data",
"descriptor",
"."
] | def docdata(self, object, name=None, mod=None, cl=None):
"""Produce text documentation for a data descriptor."""
return self._docdescriptor(name, object, mod) | [
"def",
"docdata",
"(",
"self",
",",
"object",
",",
"name",
"=",
"None",
",",
"mod",
"=",
"None",
",",
"cl",
"=",
"None",
")",
":",
"return",
"self",
".",
"_docdescriptor",
"(",
"name",
",",
"object",
",",
"mod",
")"
] | https://github.com/bendmorris/static-python/blob/2e0f8c4d7ed5b359dc7d8a75b6fb37e6b6c5c473/Lib/pydoc.py#L1354-L1356 | |
twisted/twisted | dee676b040dd38b847ea6fb112a712cb5e119490 | src/twisted/protocols/ftp.py | python | DTPFactory.__init__ | (self, pi, peerHost=None, reactor=None) | Constructor
@param pi: this factory's protocol interpreter
@param peerHost: if peerCheck is True, this is the tuple that the
generated instance will use to perform security checks | Constructor | [
"Constructor"
] | def __init__(self, pi, peerHost=None, reactor=None):
"""
Constructor
@param pi: this factory's protocol interpreter
@param peerHost: if peerCheck is True, this is the tuple that the
generated instance will use to perform security checks
"""
self.pi = pi
... | [
"def",
"__init__",
"(",
"self",
",",
"pi",
",",
"peerHost",
"=",
"None",
",",
"reactor",
"=",
"None",
")",
":",
"self",
".",
"pi",
"=",
"pi",
"self",
".",
"peerHost",
"=",
"peerHost",
"# from FTP.transport.peerHost()",
"# deferred will fire when instance is conn... | https://github.com/twisted/twisted/blob/dee676b040dd38b847ea6fb112a712cb5e119490/src/twisted/protocols/ftp.py#L590-L605 | ||
riptideio/pymodbus | c5772b35ae3f29d1947f3ab453d8d00df846459f | pymodbus/client/sync.py | python | BaseModbusClient.debug_enabled | (self) | return self._debug | Returns a boolean indicating if debug is enabled. | Returns a boolean indicating if debug is enabled. | [
"Returns",
"a",
"boolean",
"indicating",
"if",
"debug",
"is",
"enabled",
"."
] | def debug_enabled(self):
"""
Returns a boolean indicating if debug is enabled.
"""
return self._debug | [
"def",
"debug_enabled",
"(",
"self",
")",
":",
"return",
"self",
".",
"_debug"
] | https://github.com/riptideio/pymodbus/blob/c5772b35ae3f29d1947f3ab453d8d00df846459f/pymodbus/client/sync.py#L136-L140 | |
openshift/openshift-tools | 1188778e728a6e4781acf728123e5b356380fe6f | openshift/installer/vendored/openshift-ansible-3.9.40/roles/lib_openshift/src/class/oc_label.py | python | OCLabel.any_label_exists | (self) | return False | return whether any single label already exists | return whether any single label already exists | [
"return",
"whether",
"any",
"single",
"label",
"already",
"exists"
] | def any_label_exists(self):
''' return whether any single label already exists '''
for current_host_labels in self.current_labels:
for label in self.labels:
if label['key'] in current_host_labels:
return True
return False | [
"def",
"any_label_exists",
"(",
"self",
")",
":",
"for",
"current_host_labels",
"in",
"self",
".",
"current_labels",
":",
"for",
"label",
"in",
"self",
".",
"labels",
":",
"if",
"label",
"[",
"'key'",
"]",
"in",
"current_host_labels",
":",
"return",
"True",
... | https://github.com/openshift/openshift-tools/blob/1188778e728a6e4781acf728123e5b356380fe6f/openshift/installer/vendored/openshift-ansible-3.9.40/roles/lib_openshift/src/class/oc_label.py#L59-L66 | |
cognitect-labs/transducers-python | 11ac3e5c78a5a9dd30719d3aba91bf333c249a94 | transducers/transducers.py | python | take | (n) | return _take_xducer | Takes n values from a collection. | Takes n values from a collection. | [
"Takes",
"n",
"values",
"from",
"a",
"collection",
"."
] | def take(n):
"""Takes n values from a collection."""
def _take_xducer(step):
outer_vars = {"counter": n}
def _take_step(r=Missing, x=Missing):
if r is Missing: return step()
if x is Missing:
return step(r)
n = outer_vars["counter"]
... | [
"def",
"take",
"(",
"n",
")",
":",
"def",
"_take_xducer",
"(",
"step",
")",
":",
"outer_vars",
"=",
"{",
"\"counter\"",
":",
"n",
"}",
"def",
"_take_step",
"(",
"r",
"=",
"Missing",
",",
"x",
"=",
"Missing",
")",
":",
"if",
"r",
"is",
"Missing",
... | https://github.com/cognitect-labs/transducers-python/blob/11ac3e5c78a5a9dd30719d3aba91bf333c249a94/transducers/transducers.py#L123-L136 | |
lisa-lab/pylearn2 | af81e5c362f0df4df85c3e54e23b2adeec026055 | pylearn2/models/dbm/dbm.py | python | DBM.get_weights | (self) | return self.hidden_layers[0].get_weights() | .. todo::
WRITEME | .. todo:: | [
"..",
"todo",
"::"
] | def get_weights(self):
"""
.. todo::
WRITEME
"""
return self.hidden_layers[0].get_weights() | [
"def",
"get_weights",
"(",
"self",
")",
":",
"return",
"self",
".",
"hidden_layers",
"[",
"0",
"]",
".",
"get_weights",
"(",
")"
] | https://github.com/lisa-lab/pylearn2/blob/af81e5c362f0df4df85c3e54e23b2adeec026055/pylearn2/models/dbm/dbm.py#L391-L397 | |
jparkhill/TensorMol | d52104dc7ee46eec8301d332a95d672270ac0bd1 | TensorMol/ForceModifiers/Periodic.py | python | PeriodicForce.BindForce | (self, lf_, rng_) | Adds a local force to be computed when the PeriodicForce is called.
Args:
lf_: a function which takes z,x and returns atom energies, atom forces. | Adds a local force to be computed when the PeriodicForce is called. | [
"Adds",
"a",
"local",
"force",
"to",
"be",
"computed",
"when",
"the",
"PeriodicForce",
"is",
"called",
"."
] | def BindForce(self, lf_, rng_):
"""
Adds a local force to be computed when the PeriodicForce is called.
Args:
lf_: a function which takes z,x and returns atom energies, atom forces.
"""
self.LocalForces.append(LocalForce(lf_,rng_)) | [
"def",
"BindForce",
"(",
"self",
",",
"lf_",
",",
"rng_",
")",
":",
"self",
".",
"LocalForces",
".",
"append",
"(",
"LocalForce",
"(",
"lf_",
",",
"rng_",
")",
")"
] | https://github.com/jparkhill/TensorMol/blob/d52104dc7ee46eec8301d332a95d672270ac0bd1/TensorMol/ForceModifiers/Periodic.py#L368-L375 | ||
eirannejad/pyRevit | 49c0b7eb54eb343458ce1365425e6552d0c47d44 | site-packages/requests/packages/urllib3/fields.py | python | RequestField._render_part | (self, name, value) | return format_header_param(name, value) | Overridable helper function to format a single header parameter.
:param name:
The name of the parameter, a string expected to be ASCII only.
:param value:
The value of the parameter, provided as a unicode string. | Overridable helper function to format a single header parameter. | [
"Overridable",
"helper",
"function",
"to",
"format",
"a",
"single",
"header",
"parameter",
"."
] | def _render_part(self, name, value):
"""
Overridable helper function to format a single header parameter.
:param name:
The name of the parameter, a string expected to be ASCII only.
:param value:
The value of the parameter, provided as a unicode string.
"... | [
"def",
"_render_part",
"(",
"self",
",",
"name",
",",
"value",
")",
":",
"return",
"format_header_param",
"(",
"name",
",",
"value",
")"
] | https://github.com/eirannejad/pyRevit/blob/49c0b7eb54eb343458ce1365425e6552d0c47d44/site-packages/requests/packages/urllib3/fields.py#L105-L114 | |
CedricGuillemet/Imogen | ee417b42747ed5b46cb11b02ef0c3630000085b3 | bin/Lib/asyncio/events.py | python | _get_running_loop | () | Return the running event loop or None.
This is a low-level function intended to be used by event loops.
This function is thread-specific. | Return the running event loop or None. | [
"Return",
"the",
"running",
"event",
"loop",
"or",
"None",
"."
] | def _get_running_loop():
"""Return the running event loop or None.
This is a low-level function intended to be used by event loops.
This function is thread-specific.
"""
# NOTE: this function is implemented in C (see _asynciomodule.c)
running_loop, pid = _running_loop.loop_pid
if running_lo... | [
"def",
"_get_running_loop",
"(",
")",
":",
"# NOTE: this function is implemented in C (see _asynciomodule.c)",
"running_loop",
",",
"pid",
"=",
"_running_loop",
".",
"loop_pid",
"if",
"running_loop",
"is",
"not",
"None",
"and",
"pid",
"==",
"os",
".",
"getpid",
"(",
... | https://github.com/CedricGuillemet/Imogen/blob/ee417b42747ed5b46cb11b02ef0c3630000085b3/bin/Lib/asyncio/events.py#L693-L702 | ||
roglew/guppy-proxy | 01df16be71dd9f23d7de415a315821659c29bc63 | guppyproxy/macros.py | python | ActiveMacroWidget.browse_macro | (self) | [] | def browse_macro(self):
fname = open_dialog(self, filter_string="Python File (*.py)")
if not fname:
return
self.tableModel.add_macro(fname) | [
"def",
"browse_macro",
"(",
"self",
")",
":",
"fname",
"=",
"open_dialog",
"(",
"self",
",",
"filter_string",
"=",
"\"Python File (*.py)\"",
")",
"if",
"not",
"fname",
":",
"return",
"self",
".",
"tableModel",
".",
"add_macro",
"(",
"fname",
")"
] | https://github.com/roglew/guppy-proxy/blob/01df16be71dd9f23d7de415a315821659c29bc63/guppyproxy/macros.py#L666-L670 | ||||
JinpengLI/deep_ocr | 450148c0c51b3565a96ac2f3c94ee33022e55307 | deep_ocr/ocrolib/common.py | python | RegionExtractor.x1 | (self,i) | return self.bbox(i)[3] | Return x0 (column) for the end of the box. | Return x0 (column) for the end of the box. | [
"Return",
"x0",
"(",
"column",
")",
"for",
"the",
"end",
"of",
"the",
"box",
"."
] | def x1(self,i):
"""Return x0 (column) for the end of the box."""
return self.bbox(i)[3] | [
"def",
"x1",
"(",
"self",
",",
"i",
")",
":",
"return",
"self",
".",
"bbox",
"(",
"i",
")",
"[",
"3",
"]"
] | https://github.com/JinpengLI/deep_ocr/blob/450148c0c51b3565a96ac2f3c94ee33022e55307/deep_ocr/ocrolib/common.py#L351-L353 | |
learningequality/ka-lite | 571918ea668013dcf022286ea85eff1c5333fb8b | kalite/packages/bundled/django/contrib/comments/moderation.py | python | CommentModerator.moderate | (self, comment, content_object, request) | return False | Determine whether a given comment on a given object should be
allowed to show up immediately, or should be marked non-public
and await approval.
Return ``True`` if the comment should be moderated (marked
non-public), ``False`` otherwise. | Determine whether a given comment on a given object should be
allowed to show up immediately, or should be marked non-public
and await approval. | [
"Determine",
"whether",
"a",
"given",
"comment",
"on",
"a",
"given",
"object",
"should",
"be",
"allowed",
"to",
"show",
"up",
"immediately",
"or",
"should",
"be",
"marked",
"non",
"-",
"public",
"and",
"await",
"approval",
"."
] | def moderate(self, comment, content_object, request):
"""
Determine whether a given comment on a given object should be
allowed to show up immediately, or should be marked non-public
and await approval.
Return ``True`` if the comment should be moderated (marked
non-publi... | [
"def",
"moderate",
"(",
"self",
",",
"comment",
",",
"content_object",
",",
"request",
")",
":",
"if",
"self",
".",
"auto_moderate_field",
"and",
"self",
".",
"moderate_after",
"is",
"not",
"None",
":",
"moderate_after_date",
"=",
"getattr",
"(",
"content_obje... | https://github.com/learningequality/ka-lite/blob/571918ea668013dcf022286ea85eff1c5333fb8b/kalite/packages/bundled/django/contrib/comments/moderation.py#L215-L229 | |
jadore801120/attention-is-all-you-need-pytorch | 132907dd272e2cc92e3c10e6c4e783a87ff8893d | learn_bpe.py | python | replace_pair | (pair, vocab, indices) | return changes | Replace all occurrences of a symbol pair ('A', 'B') with a new symbol 'AB | Replace all occurrences of a symbol pair ('A', 'B') with a new symbol 'AB | [
"Replace",
"all",
"occurrences",
"of",
"a",
"symbol",
"pair",
"(",
"A",
"B",
")",
"with",
"a",
"new",
"symbol",
"AB"
] | def replace_pair(pair, vocab, indices):
"""Replace all occurrences of a symbol pair ('A', 'B') with a new symbol 'AB'"""
first, second = pair
pair_str = ''.join(pair)
pair_str = pair_str.replace('\\','\\\\')
changes = []
pattern = re.compile(r'(?<!\S)' + re.escape(first + ' ' + second) + r'(?!\S... | [
"def",
"replace_pair",
"(",
"pair",
",",
"vocab",
",",
"indices",
")",
":",
"first",
",",
"second",
"=",
"pair",
"pair_str",
"=",
"''",
".",
"join",
"(",
"pair",
")",
"pair_str",
"=",
"pair_str",
".",
"replace",
"(",
"'\\\\'",
",",
"'\\\\\\\\'",
")",
... | https://github.com/jadore801120/attention-is-all-you-need-pytorch/blob/132907dd272e2cc92e3c10e6c4e783a87ff8893d/learn_bpe.py#L125-L147 | |
XuezheMax/flowseq | 8cb4ae00c26fbeb3e1459e3b3b90e7e9a84c3d2b | flownmt/data/dataloader.py | python | DataIterator.get_batch | (self, batch_size) | return self.process_batch(batch) | [] | def get_batch(self, batch_size):
batch = random.sample(self.data, batch_size)
return self.process_batch(batch) | [
"def",
"get_batch",
"(",
"self",
",",
"batch_size",
")",
":",
"batch",
"=",
"random",
".",
"sample",
"(",
"self",
".",
"data",
",",
"batch_size",
")",
"return",
"self",
".",
"process_batch",
"(",
"batch",
")"
] | https://github.com/XuezheMax/flowseq/blob/8cb4ae00c26fbeb3e1459e3b3b90e7e9a84c3d2b/flownmt/data/dataloader.py#L458-L460 | |||
mozilla/MozDef | d7d4dd1cd898bb4eeb59d014bd5bcfe96554a10f | mq/plugins/parse_su.py | python | message.__init__ | (self) | takes an incoming su message
and parses it to extract data points | takes an incoming su message
and parses it to extract data points | [
"takes",
"an",
"incoming",
"su",
"message",
"and",
"parses",
"it",
"to",
"extract",
"data",
"points"
] | def __init__(self):
'''
takes an incoming su message
and parses it to extract data points
'''
self.registration = ['sshd']
self.priority = 5 | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"registration",
"=",
"[",
"'sshd'",
"]",
"self",
".",
"priority",
"=",
"5"
] | https://github.com/mozilla/MozDef/blob/d7d4dd1cd898bb4eeb59d014bd5bcfe96554a10f/mq/plugins/parse_su.py#L11-L18 | ||
landlab/landlab | a5dd80b8ebfd03d1ba87ef6c4368c409485f222c | landlab/graph/graph.py | python | NetworkGraph.angle_of_link | (self) | return get_angle_of_link(self) | Get the angle of each link.
Examples
--------
>>> import numpy as np
>>> from landlab.graph import Graph
>>> node_x, node_y = ([0, 1, 2, 0, 1, 2],
... [0, 0, 0, 1, 1, 1])
>>> links = ((0, 1), (1, 2),
... (0, 3), (1, 4), (2, 5),... | Get the angle of each link. | [
"Get",
"the",
"angle",
"of",
"each",
"link",
"."
] | def angle_of_link(self):
"""Get the angle of each link.
Examples
--------
>>> import numpy as np
>>> from landlab.graph import Graph
>>> node_x, node_y = ([0, 1, 2, 0, 1, 2],
... [0, 0, 0, 1, 1, 1])
>>> links = ((0, 1), (1, 2),
... | [
"def",
"angle_of_link",
"(",
"self",
")",
":",
"return",
"get_angle_of_link",
"(",
"self",
")"
] | https://github.com/landlab/landlab/blob/a5dd80b8ebfd03d1ba87ef6c4368c409485f222c/landlab/graph/graph.py#L566-L585 | |
securesystemslab/zippy | ff0e84ac99442c2c55fe1d285332cfd4e185e089 | zippy/benchmarks/src/benchmarks/sympy/sympy/polys/domains/old_polynomialring.py | python | GeneralizedPolynomialRing.to_sympy | (self, a) | return (basic_from_dict(a.numer().to_sympy_dict(), *self.gens) /
basic_from_dict(a.denom().to_sympy_dict(), *self.gens)) | Convert `a` to a SymPy object. | Convert `a` to a SymPy object. | [
"Convert",
"a",
"to",
"a",
"SymPy",
"object",
"."
] | def to_sympy(self, a):
"""Convert `a` to a SymPy object. """
return (basic_from_dict(a.numer().to_sympy_dict(), *self.gens) /
basic_from_dict(a.denom().to_sympy_dict(), *self.gens)) | [
"def",
"to_sympy",
"(",
"self",
",",
"a",
")",
":",
"return",
"(",
"basic_from_dict",
"(",
"a",
".",
"numer",
"(",
")",
".",
"to_sympy_dict",
"(",
")",
",",
"*",
"self",
".",
"gens",
")",
"/",
"basic_from_dict",
"(",
"a",
".",
"denom",
"(",
")",
... | https://github.com/securesystemslab/zippy/blob/ff0e84ac99442c2c55fe1d285332cfd4e185e089/zippy/benchmarks/src/benchmarks/sympy/sympy/polys/domains/old_polynomialring.py#L309-L312 | |
chribsen/simple-machine-learning-examples | dc94e52a4cebdc8bb959ff88b81ff8cfeca25022 | venv/lib/python2.7/site-packages/pandas/core/categorical.py | python | Categorical.memory_usage | (self, deep=False) | return self._codes.nbytes + self._categories.memory_usage(deep=deep) | Memory usage of my values
Parameters
----------
deep : bool
Introspect the data deeply, interrogate
`object` dtypes for system-level memory consumption
Returns
-------
bytes used
Notes
-----
Memory usage does not include ... | Memory usage of my values | [
"Memory",
"usage",
"of",
"my",
"values"
] | def memory_usage(self, deep=False):
"""
Memory usage of my values
Parameters
----------
deep : bool
Introspect the data deeply, interrogate
`object` dtypes for system-level memory consumption
Returns
-------
bytes used
No... | [
"def",
"memory_usage",
"(",
"self",
",",
"deep",
"=",
"False",
")",
":",
"return",
"self",
".",
"_codes",
".",
"nbytes",
"+",
"self",
".",
"_categories",
".",
"memory_usage",
"(",
"deep",
"=",
"deep",
")"
] | https://github.com/chribsen/simple-machine-learning-examples/blob/dc94e52a4cebdc8bb959ff88b81ff8cfeca25022/venv/lib/python2.7/site-packages/pandas/core/categorical.py#L1054-L1077 | |
google/grr | 8ad8a4d2c5a93c92729206b7771af19d92d4f915 | grr/client/grr_response_client/client_actions/memory.py | python | UnprivilegedYaraWrapper.Open | (self) | [] | def Open(self) -> None:
with contextlib.ExitStack() as stack:
file_descriptors = []
for psutil_process in self._psutil_processes:
try:
process = stack.enter_context(
client_utils.OpenProcessForMemoryAccess(psutil_process.pid))
except Exception as e: # pylint: dis... | [
"def",
"Open",
"(",
"self",
")",
"->",
"None",
":",
"with",
"contextlib",
".",
"ExitStack",
"(",
")",
"as",
"stack",
":",
"file_descriptors",
"=",
"[",
"]",
"for",
"psutil_process",
"in",
"self",
".",
"_psutil_processes",
":",
"try",
":",
"process",
"=",... | https://github.com/google/grr/blob/8ad8a4d2c5a93c92729206b7771af19d92d4f915/grr/client/grr_response_client/client_actions/memory.py#L220-L238 | ||||
GRAAL-Research/poutyne | f46e5fe610d175b96a490db24ef2d22b49cc594b | poutyne/framework/model_bundle.py | python | ModelBundle.infer_dataset | (self, dataset, **kwargs) | return self._predict(self.model.predict_dataset, dataset, **kwargs) | Returns the inferred predictions of the network given a dataset, where the tensors are
converted into Numpy arrays.
Args:
dataset (~torch.utils.data.Dataset): Dataset. Must not return ``y``, just ``x``.
checkpoint (Union[str, int]): Which model checkpoint weights to load for the... | Returns the inferred predictions of the network given a dataset, where the tensors are
converted into Numpy arrays. | [
"Returns",
"the",
"inferred",
"predictions",
"of",
"the",
"network",
"given",
"a",
"dataset",
"where",
"the",
"tensors",
"are",
"converted",
"into",
"Numpy",
"arrays",
"."
] | def infer_dataset(self, dataset, **kwargs) -> Any:
"""
Returns the inferred predictions of the network given a dataset, where the tensors are
converted into Numpy arrays.
Args:
dataset (~torch.utils.data.Dataset): Dataset. Must not return ``y``, just ``x``.
check... | [
"def",
"infer_dataset",
"(",
"self",
",",
"dataset",
",",
"*",
"*",
"kwargs",
")",
"->",
"Any",
":",
"return",
"self",
".",
"_predict",
"(",
"self",
".",
"model",
".",
"predict_dataset",
",",
"dataset",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/GRAAL-Research/poutyne/blob/f46e5fe610d175b96a490db24ef2d22b49cc594b/poutyne/framework/model_bundle.py#L1122-L1143 | |
postgres/pgadmin4 | 374c5e952fa594d749fadf1f88076c1cba8c5f64 | web/pgadmin/authenticate/__init__.py | python | get_auth_sources | (type) | return auth_source | Get the authenticated source object from the registry | Get the authenticated source object from the registry | [
"Get",
"the",
"authenticated",
"source",
"object",
"from",
"the",
"registry"
] | def get_auth_sources(type):
"""Get the authenticated source object from the registry"""
auth_sources = getattr(current_app, '_pgadmin_auth_sources', None)
if auth_sources is None or not isinstance(auth_sources, dict):
auth_sources = dict()
if type in auth_sources:
return auth_sources[... | [
"def",
"get_auth_sources",
"(",
"type",
")",
":",
"auth_sources",
"=",
"getattr",
"(",
"current_app",
",",
"'_pgadmin_auth_sources'",
",",
"None",
")",
"if",
"auth_sources",
"is",
"None",
"or",
"not",
"isinstance",
"(",
"auth_sources",
",",
"dict",
")",
":",
... | https://github.com/postgres/pgadmin4/blob/374c5e952fa594d749fadf1f88076c1cba8c5f64/web/pgadmin/authenticate/__init__.py#L258-L275 | |
demisto/content | 5c664a65b992ac8ca90ac3f11b1b2cdf11ee9b07 | Packs/PAN-OS/Integrations/Panorama/Panorama.py | python | panorama_create_edl_command | (args: Dict[str, str]) | Create an edl object | Create an edl object | [
"Create",
"an",
"edl",
"object"
] | def panorama_create_edl_command(args: Dict[str, str]):
"""
Create an edl object
"""
edl_name = args.get('name')
url = args.get('url', '').replace(' ', '%20')
type_ = args.get('type')
recurring = args.get('recurring')
certificate_profile = args.get('certificate_profile')
description =... | [
"def",
"panorama_create_edl_command",
"(",
"args",
":",
"Dict",
"[",
"str",
",",
"str",
"]",
")",
":",
"edl_name",
"=",
"args",
".",
"get",
"(",
"'name'",
")",
"url",
"=",
"args",
".",
"get",
"(",
"'url'",
",",
"''",
")",
".",
"replace",
"(",
"' '"... | https://github.com/demisto/content/blob/5c664a65b992ac8ca90ac3f11b1b2cdf11ee9b07/Packs/PAN-OS/Integrations/Panorama/Panorama.py#L3579-L3615 | ||
lspvic/CopyNet | 2cc44dd672115fe88a2d76bd59b76fb2d7389bb4 | nmt/nmt/scripts/rouge.py | python | _get_word_ngrams | (n, sentences) | return _get_ngrams(n, words) | Calculates word n-grams for multiple sentences. | Calculates word n-grams for multiple sentences. | [
"Calculates",
"word",
"n",
"-",
"grams",
"for",
"multiple",
"sentences",
"."
] | def _get_word_ngrams(n, sentences):
"""Calculates word n-grams for multiple sentences.
"""
assert len(sentences) > 0
assert n > 0
words = _split_into_words(sentences)
return _get_ngrams(n, words) | [
"def",
"_get_word_ngrams",
"(",
"n",
",",
"sentences",
")",
":",
"assert",
"len",
"(",
"sentences",
")",
">",
"0",
"assert",
"n",
">",
"0",
"words",
"=",
"_split_into_words",
"(",
"sentences",
")",
"return",
"_get_ngrams",
"(",
"n",
",",
"words",
")"
] | https://github.com/lspvic/CopyNet/blob/2cc44dd672115fe88a2d76bd59b76fb2d7389bb4/nmt/nmt/scripts/rouge.py#L42-L49 | |
Fallen-Breath/MCDReforged | fdb1d2520b35f916123f265dbd94603981bb2b0c | mcdreforged/plugin/plugin_thread.py | python | PluginThread.run | (self) | [] | def run(self):
try:
while True:
try:
if self.task is not None:
task_data = self.task
self.task = None
else:
task_data = self.thread_pool.task_queue.get(timeout=0.01) # type: TaskData
except queue.Empty:
pass
else:
plugin = task_data.plugin # type: AbstractPlugin
... | [
"def",
"run",
"(",
"self",
")",
":",
"try",
":",
"while",
"True",
":",
"try",
":",
"if",
"self",
".",
"task",
"is",
"not",
"None",
":",
"task_data",
"=",
"self",
".",
"task",
"self",
".",
"task",
"=",
"None",
"else",
":",
"task_data",
"=",
"self"... | https://github.com/Fallen-Breath/MCDReforged/blob/fdb1d2520b35f916123f265dbd94603981bb2b0c/mcdreforged/plugin/plugin_thread.py#L31-L59 | ||||
riptideio/pymodbus | c5772b35ae3f29d1947f3ab453d8d00df846459f | pymodbus/server/async_io.py | python | StartTlsServer | (context=None, identity=None, address=None,
sslctx=None,
certfile=None, keyfile=None,
allow_reuse_address=False,
allow_reuse_port=False,
custom_functions=[],
defer_start=... | return server | A factory to start and run a tls modbus server
:param context: The ModbusServerContext datastore
:param identity: An optional identify structure
:param address: An optional (interface, port) to bind to.
:param sslctx: The SSLContext to use for TLS (default None and auto create)
:param certfile: The... | A factory to start and run a tls modbus server | [
"A",
"factory",
"to",
"start",
"and",
"run",
"a",
"tls",
"modbus",
"server"
] | async def StartTlsServer(context=None, identity=None, address=None,
sslctx=None,
certfile=None, keyfile=None,
allow_reuse_address=False,
allow_reuse_port=False,
custom_functions=[],
... | [
"async",
"def",
"StartTlsServer",
"(",
"context",
"=",
"None",
",",
"identity",
"=",
"None",
",",
"address",
"=",
"None",
",",
"sslctx",
"=",
"None",
",",
"certfile",
"=",
"None",
",",
"keyfile",
"=",
"None",
",",
"allow_reuse_address",
"=",
"False",
","... | https://github.com/riptideio/pymodbus/blob/c5772b35ae3f29d1947f3ab453d8d00df846459f/pymodbus/server/async_io.py#L851-L890 | |
lisa-lab/pylearn2 | af81e5c362f0df4df85c3e54e23b2adeec026055 | pylearn2/datasets/utlc.py | python | load_ndarray_dataset | (name, normalize=True, transfer=False,
normalize_on_the_fly=False, randomize_valid=False,
randomize_test=False) | Load the train,valid,test data for the dataset `name` and return it in
ndarray format.
We suppose the data was created with ift6266h11/pretraitement/to_npy.py
that shuffle the train. So the train should already be shuffled.
Parameters
----------
name : 'avicenna', 'harry', 'rita', 'sylvester' ... | Load the train,valid,test data for the dataset `name` and return it in
ndarray format. | [
"Load",
"the",
"train",
"valid",
"test",
"data",
"for",
"the",
"dataset",
"name",
"and",
"return",
"it",
"in",
"ndarray",
"format",
"."
] | def load_ndarray_dataset(name, normalize=True, transfer=False,
normalize_on_the_fly=False, randomize_valid=False,
randomize_test=False):
"""
Load the train,valid,test data for the dataset `name` and return it in
ndarray format.
We suppose the data was c... | [
"def",
"load_ndarray_dataset",
"(",
"name",
",",
"normalize",
"=",
"True",
",",
"transfer",
"=",
"False",
",",
"normalize_on_the_fly",
"=",
"False",
",",
"randomize_valid",
"=",
"False",
",",
"randomize_test",
"=",
"False",
")",
":",
"assert",
"not",
"(",
"n... | https://github.com/lisa-lab/pylearn2/blob/af81e5c362f0df4df85c3e54e23b2adeec026055/pylearn2/datasets/utlc.py#L21-L140 | ||
Ericsson/codechecker | c4e43f62dc3acbf71d3109b337db7c97f7852f43 | tools/report-converter/codechecker_report_converter/analyzers/spotbugs/analyzer_result.py | python | AnalyzerResult.__event_from_method | (self, element) | return BugPathEvent(
message,
get_or_create_file(source_path, self.__file_cache),
line,
col) | Creates event from a Method element. | Creates event from a Method element. | [
"Creates",
"event",
"from",
"a",
"Method",
"element",
"."
] | def __event_from_method(self, element) -> Optional[BugPathEvent]:
""" Creates event from a Method element. """
message = element.find('Message').text
source_line = element.find('SourceLine')
if source_line is None:
return None
source_path = source_line.attrib.get('s... | [
"def",
"__event_from_method",
"(",
"self",
",",
"element",
")",
"->",
"Optional",
"[",
"BugPathEvent",
"]",
":",
"message",
"=",
"element",
".",
"find",
"(",
"'Message'",
")",
".",
"text",
"source_line",
"=",
"element",
".",
"find",
"(",
"'SourceLine'",
")... | https://github.com/Ericsson/codechecker/blob/c4e43f62dc3acbf71d3109b337db7c97f7852f43/tools/report-converter/codechecker_report_converter/analyzers/spotbugs/analyzer_result.py#L168-L188 | |
0vercl0k/stuffz | 2ff82f4739d7e215c6140d4987efa8310db39d55 | transmissionrpc.py | python | Client.start | (self, ids, bypass_queue=False, timeout=None) | .. WARNING::
Deprecated, please use start_torrent. | [] | def start(self, ids, bypass_queue=False, timeout=None):
"""
.. WARNING::
Deprecated, please use start_torrent.
"""
warnings.warn('start has been deprecated, please use start_torrent instead.', DeprecationWarning)
self.start_torrent(ids, bypass_queue, timeout) | [
"def",
"start",
"(",
"self",
",",
"ids",
",",
"bypass_queue",
"=",
"False",
",",
"timeout",
"=",
"None",
")",
":",
"warnings",
".",
"warn",
"(",
"'start has been deprecated, please use start_torrent instead.'",
",",
"DeprecationWarning",
")",
"self",
".",
"start_t... | https://github.com/0vercl0k/stuffz/blob/2ff82f4739d7e215c6140d4987efa8310db39d55/transmissionrpc.py#L1676-L1683 | |||
exaile/exaile | a7b58996c5c15b3aa7b9975ac13ee8f784ef4689 | xlgui/widgets/playlist.py | python | PlaylistModel._compute_row_params | (self, rowidx) | return pixbuf, sensitive, weight | :returns: pixbuf, sensitive, weight | :returns: pixbuf, sensitive, weight | [
":",
"returns",
":",
"pixbuf",
"sensitive",
"weight"
] | def _compute_row_params(self, rowidx):
"""
:returns: pixbuf, sensitive, weight
"""
pixbuf = self.clear_pixbuf.pixbuf
weight = Pango.Weight.NORMAL
sensitive = True
playlist = self.playlist
spatpos = playlist.spat_position
spat = spatpos == rowidx... | [
"def",
"_compute_row_params",
"(",
"self",
",",
"rowidx",
")",
":",
"pixbuf",
"=",
"self",
".",
"clear_pixbuf",
".",
"pixbuf",
"weight",
"=",
"Pango",
".",
"Weight",
".",
"NORMAL",
"sensitive",
"=",
"True",
"playlist",
"=",
"self",
".",
"playlist",
"spatpo... | https://github.com/exaile/exaile/blob/a7b58996c5c15b3aa7b9975ac13ee8f784ef4689/xlgui/widgets/playlist.py#L1934-L1979 | |
jiangxinyang227/NLP-Project | b11f67d8962f40e17990b4fc4551b0ea5496881c | multi_label_classifier/data_helpers/train_data.py | python | TrainData.gen_vocab | (self, words, labels) | return word_to_index, label_to_index | 生成词汇，标签等映射表
:param words: 训练集所含有的单词
:param labels: 标签
:return: | 生成词汇，标签等映射表
:param words: 训练集所含有的单词
:param labels: 标签
:return: | [
"生成词汇，标签等映射表",
":",
"param",
"words",
":",
"训练集所含有的单词",
":",
"param",
"labels",
":",
"标签",
":",
"return",
":"
] | def gen_vocab(self, words, labels):
"""
生成词汇，标签等映射表
:param words: 训练集所含有的单词
:param labels: 标签
:return:
"""
# 如果不是第一次处理，则可以直接加载生成好的词汇表和词向量
if os.path.exists(os.path.join(self._output_path, "word_vectors.npy")):
print("load word_vectors")
... | [
"def",
"gen_vocab",
"(",
"self",
",",
"words",
",",
"labels",
")",
":",
"# 如果不是第一次处理，则可以直接加载生成好的词汇表和词向量",
"if",
"os",
".",
"path",
".",
"exists",
"(",
"os",
".",
"path",
".",
"join",
"(",
"self",
".",
"_output_path",
",",
"\"word_vectors.npy\"",
")",
")",
... | https://github.com/jiangxinyang227/NLP-Project/blob/b11f67d8962f40e17990b4fc4551b0ea5496881c/multi_label_classifier/data_helpers/train_data.py#L94-L143 | |
DataDog/integrations-core | 934674b29d94b70ccc008f76ea172d0cdae05e1e | linkerd/datadog_checks/linkerd/config_models/defaults.py | python | instance_metrics | (field, value) | return get_default_field_value(field, value) | [] | def instance_metrics(field, value):
return get_default_field_value(field, value) | [
"def",
"instance_metrics",
"(",
"field",
",",
"value",
")",
":",
"return",
"get_default_field_value",
"(",
"field",
",",
"value",
")"
] | https://github.com/DataDog/integrations-core/blob/934674b29d94b70ccc008f76ea172d0cdae05e1e/linkerd/datadog_checks/linkerd/config_models/defaults.py#L193-L194 | |||
PaddlePaddle/Research | 2da0bd6c72d60e9df403aff23a7802779561c4a1 | NLP/ACL2019-KTNET/reading_comprehension/src/model/bert.py | python | BertModel.get_pooled_output | (self) | return next_sent_feat | Get the first feature of each sequence for classification | Get the first feature of each sequence for classification | [
"Get",
"the",
"first",
"feature",
"of",
"each",
"sequence",
"for",
"classification"
] | def get_pooled_output(self):
"""Get the first feature of each sequence for classification"""
next_sent_feat = fluid.layers.slice(
input=self._enc_out, axes=[1], starts=[0], ends=[1])
next_sent_feat = fluid.layers.fc(
input=next_sent_feat,
size=self._emb_size,... | [
"def",
"get_pooled_output",
"(",
"self",
")",
":",
"next_sent_feat",
"=",
"fluid",
".",
"layers",
".",
"slice",
"(",
"input",
"=",
"self",
".",
"_enc_out",
",",
"axes",
"=",
"[",
"1",
"]",
",",
"starts",
"=",
"[",
"0",
"]",
",",
"ends",
"=",
"[",
... | https://github.com/PaddlePaddle/Research/blob/2da0bd6c72d60e9df403aff23a7802779561c4a1/NLP/ACL2019-KTNET/reading_comprehension/src/model/bert.py#L151-L163 | |
oracle/oci-python-sdk | 3c1604e4e212008fb6718e2f68cdb5ef71fd5793 | src/oci/core/virtual_network_client_composite_operations.py | python | VirtualNetworkClientCompositeOperations.delete_local_peering_gateway_and_wait_for_state | (self, local_peering_gateway_id, wait_for_states=[], operation_kwargs={}, waiter_kwargs={}) | Calls :py:func:`~oci.core.VirtualNetworkClient.delete_local_peering_gateway` and waits for the :py:class:`~oci.core.models.LocalPeeringGateway` acted upon
to enter the given state(s).
:param str local_peering_gateway_id: (required)
The `OCID`__ of the local peering gateway.
__ ... | Calls :py:func:`~oci.core.VirtualNetworkClient.delete_local_peering_gateway` and waits for the :py:class:`~oci.core.models.LocalPeeringGateway` acted upon
to enter the given state(s). | [
"Calls",
":",
"py",
":",
"func",
":",
"~oci",
".",
"core",
".",
"VirtualNetworkClient",
".",
"delete_local_peering_gateway",
"and",
"waits",
"for",
"the",
":",
"py",
":",
"class",
":",
"~oci",
".",
"core",
".",
"models",
".",
"LocalPeeringGateway",
"acted",
... | def delete_local_peering_gateway_and_wait_for_state(self, local_peering_gateway_id, wait_for_states=[], operation_kwargs={}, waiter_kwargs={}):
"""
Calls :py:func:`~oci.core.VirtualNetworkClient.delete_local_peering_gateway` and waits for the :py:class:`~oci.core.models.LocalPeeringGateway` acted upon
... | [
"def",
"delete_local_peering_gateway_and_wait_for_state",
"(",
"self",
",",
"local_peering_gateway_id",
",",
"wait_for_states",
"=",
"[",
"]",
",",
"operation_kwargs",
"=",
"{",
"}",
",",
"waiter_kwargs",
"=",
"{",
"}",
")",
":",
"initial_get_result",
"=",
"self",
... | https://github.com/oracle/oci-python-sdk/blob/3c1604e4e212008fb6718e2f68cdb5ef71fd5793/src/oci/core/virtual_network_client_composite_operations.py#L1792-L1839 | ||
mpatacchiola/dissecting-reinforcement-learning | 38660b0a0d5aed077a46acb4bcb2013565304d9c | src/5/genetic_algorithm_policy_estimation.py | python | return_mutated_population | (population, gene_set, mutation_rate, elite=0) | return population | Returns a mutated population
It applies the point-mutation mechanism to each value
contained in the chromosomes.
@param population numpy array containing the chromosomes
@param gene_set a numpy array with the value to pick
@parma mutation_rate a float repesenting the probaiblity
of mutatio... | Returns a mutated population | [
"Returns",
"a",
"mutated",
"population"
] | def return_mutated_population(population, gene_set, mutation_rate, elite=0):
'''Returns a mutated population
It applies the point-mutation mechanism to each value
contained in the chromosomes.
@param population numpy array containing the chromosomes
@param gene_set a numpy array with the value to p... | [
"def",
"return_mutated_population",
"(",
"population",
",",
"gene_set",
",",
"mutation_rate",
",",
"elite",
"=",
"0",
")",
":",
"for",
"x",
"in",
"np",
".",
"nditer",
"(",
"population",
"[",
"elite",
":",
",",
":",
"]",
",",
"op_flags",
"=",
"[",
"'rea... | https://github.com/mpatacchiola/dissecting-reinforcement-learning/blob/38660b0a0d5aed077a46acb4bcb2013565304d9c/src/5/genetic_algorithm_policy_estimation.py#L74-L88 | |
kuri65536/python-for-android | 26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891 | python3-alpha/python-libs/gdata/apps/emailsettings/data.py | python | EmailSettingsVacationResponder.GetSubject | (self) | return self._GetProperty(VACATION_RESPONDER_SUBJECT) | Get the Subject value of the Vacation Responder object.
Returns:
The Subject value of this Vacation Responder object as a string or None. | Get the Subject value of the Vacation Responder object. | [
"Get",
"the",
"Subject",
"value",
"of",
"the",
"Vacation",
"Responder",
"object",
"."
] | def GetSubject(self):
"""Get the Subject value of the Vacation Responder object.
Returns:
The Subject value of this Vacation Responder object as a string or None.
"""
return self._GetProperty(VACATION_RESPONDER_SUBJECT) | [
"def",
"GetSubject",
"(",
"self",
")",
":",
"return",
"self",
".",
"_GetProperty",
"(",
"VACATION_RESPONDER_SUBJECT",
")"
] | https://github.com/kuri65536/python-for-android/blob/26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891/python3-alpha/python-libs/gdata/apps/emailsettings/data.py#L837-L844 | |
filerock/FileRock-Client | 37214f701666e76e723595f8f9ed238a42f6eb06 | filerockclient/osconfig/PlatformSettingsOSX.py | python | PlatformSettingsOSX._get_launch_agent_content | (self, enable) | return doc.toxml(encoding='utf-8') | Returns XML content of launch agent plist file | Returns XML content of launch agent plist file | [
"Returns",
"XML",
"content",
"of",
"launch",
"agent",
"plist",
"file"
] | def _get_launch_agent_content(self, enable):
"""
Returns XML content of launch agent plist file
"""
imp = getDOMImplementation()
doctype = imp.createDocumentType("plist", "-//Apple//DTD PLIST 1.0//EN", "http://www.apple.com/DTDs/PropertyList-1.0.dtd")
doc = imp.createDo... | [
"def",
"_get_launch_agent_content",
"(",
"self",
",",
"enable",
")",
":",
"imp",
"=",
"getDOMImplementation",
"(",
")",
"doctype",
"=",
"imp",
".",
"createDocumentType",
"(",
"\"plist\"",
",",
"\"-//Apple//DTD PLIST 1.0//EN\"",
",",
"\"http://www.apple.com/DTDs/Property... | https://github.com/filerock/FileRock-Client/blob/37214f701666e76e723595f8f9ed238a42f6eb06/filerockclient/osconfig/PlatformSettingsOSX.py#L91-L136 | |
CoinAlpha/hummingbot | 36f6149c1644c07cd36795b915f38b8f49b798e7 | hummingbot/connector/exchange/ndax/ndax_exchange.py | python | NdaxExchange._api_request | (self,
method: str,
path_url: str,
params: Optional[Dict[str, Any]] = None,
data: Optional[Dict[str, Any]] = None,
is_auth_required: bool = False,
limit_id: O... | return parsed_response | Sends an aiohttp request and waits for a response.
:param method: The HTTP method, e.g. get or post
:param path_url: The path url or the API end point
:param params: The query parameters of the API request
:param params: The body parameters of the API request
:param is_auth_requi... | Sends an aiohttp request and waits for a response.
:param method: The HTTP method, e.g. get or post
:param path_url: The path url or the API end point
:param params: The query parameters of the API request
:param params: The body parameters of the API request
:param is_auth_requi... | [
"Sends",
"an",
"aiohttp",
"request",
"and",
"waits",
"for",
"a",
"response",
".",
":",
"param",
"method",
":",
"The",
"HTTP",
"method",
"e",
".",
"g",
".",
"get",
"or",
"post",
":",
"param",
"path_url",
":",
"The",
"path",
"url",
"or",
"the",
"API",
... | async def _api_request(self,
method: str,
path_url: str,
params: Optional[Dict[str, Any]] = None,
data: Optional[Dict[str, Any]] = None,
is_auth_required: bool = False,
... | [
"async",
"def",
"_api_request",
"(",
"self",
",",
"method",
":",
"str",
",",
"path_url",
":",
"str",
",",
"params",
":",
"Optional",
"[",
"Dict",
"[",
"str",
",",
"Any",
"]",
"]",
"=",
"None",
",",
"data",
":",
"Optional",
"[",
"Dict",
"[",
"str",
... | https://github.com/CoinAlpha/hummingbot/blob/36f6149c1644c07cd36795b915f38b8f49b798e7/hummingbot/connector/exchange/ndax/ndax_exchange.py#L299-L356 | |
syang1993/gst-tacotron | f28635c539d6a3a9ceece7be2acf8aa2fe3477b0 | models/gmm_attention_wrapper.py | python | GMMAttentionWrapper._get_params | (self, cell_out, prev_kappa) | return alpha, beta, kappa | Compute window parameters
In GMM-based attention, the location parameters kappa are defined
as offsets from the previous locations, and that the size of the
offset is constrained to be greater than zero. Then we get:
alpha: the importance of the window within the mixture.
beta: the width of ... | Compute window parameters
In GMM-based attention, the location parameters kappa are defined
as offsets from the previous locations, and that the size of the
offset is constrained to be greater than zero. Then we get: | [
"Compute",
"window",
"parameters",
"In",
"GMM",
"-",
"based",
"attention",
"the",
"location",
"parameters",
"kappa",
"are",
"defined",
"as",
"offsets",
"from",
"the",
"previous",
"locations",
"and",
"that",
"the",
"size",
"of",
"the",
"offset",
"is",
"constrai... | def _get_params(self, cell_out, prev_kappa):
"""Compute window parameters
In GMM-based attention, the location parameters kappa are defined
as offsets from the previous locations, and that the size of the
offset is constrained to be greater than zero. Then we get:
alpha: the importance of th... | [
"def",
"_get_params",
"(",
"self",
",",
"cell_out",
",",
"prev_kappa",
")",
":",
"window_params",
"=",
"tf",
".",
"layers",
".",
"dense",
"(",
"cell_out",
",",
"units",
"=",
"3",
"*",
"self",
".",
"_num_attn_mixture",
")",
"alpha",
",",
"beta",
",",
"k... | https://github.com/syang1993/gst-tacotron/blob/f28635c539d6a3a9ceece7be2acf8aa2fe3477b0/models/gmm_attention_wrapper.py#L71-L85 | |
openstack/tempest | fe0ac89a5a1c43fa908a76759cd99eea3b1f9853 | tempest/lib/services/compute/servers_client.py | python | ServersClient.create_server | (self, **kwargs) | return rest_client.ResponseBody(resp, body) | Create server.
For a full list of available parameters, please refer to the official
API reference:
https://docs.openstack.org/api-ref/compute/#create-server
:param name: Server name
:param imageRef: Image reference (UUID)
:param flavorRef: Flavor reference (UUID or ful... | Create server. | [
"Create",
"server",
"."
] | def create_server(self, **kwargs):
"""Create server.
For a full list of available parameters, please refer to the official
API reference:
https://docs.openstack.org/api-ref/compute/#create-server
:param name: Server name
:param imageRef: Image reference (UUID)
:... | [
"def",
"create_server",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"body",
"=",
"copy",
".",
"deepcopy",
"(",
"kwargs",
")",
"if",
"body",
".",
"get",
"(",
"'disk_config'",
")",
":",
"body",
"[",
"'OS-DCF:diskConfig'",
"]",
"=",
"body",
".",
"po... | https://github.com/openstack/tempest/blob/fe0ac89a5a1c43fa908a76759cd99eea3b1f9853/tempest/lib/services/compute/servers_client.py#L80-L123 | |
numba/numba | bf480b9e0da858a65508c2b17759a72ee6a44c51 | numba/core/boxing.py | python | unbox_pyobject | (typ, obj, c) | return NativeValue(obj) | [] | def unbox_pyobject(typ, obj, c):
return NativeValue(obj) | [
"def",
"unbox_pyobject",
"(",
"typ",
",",
"obj",
",",
"c",
")",
":",
"return",
"NativeValue",
"(",
"obj",
")"
] | https://github.com/numba/numba/blob/bf480b9e0da858a65508c2b17759a72ee6a44c51/numba/core/boxing.py#L1009-L1010 | |||
CLUEbenchmark/CLUE | 5bd39732734afecb490cf18a5212e692dbf2c007 | baselines/models/albert/modeling.py | python | gelu | (x) | return x * cdf | Gaussian Error Linear Unit.
This is a smoother version of the RELU.
Original paper: https://arxiv.org/abs/1606.08415
Args:
x: float Tensor to perform activation.
Returns:
`x` with the GELU activation applied. | Gaussian Error Linear Unit. | [
"Gaussian",
"Error",
"Linear",
"Unit",
"."
] | def gelu(x):
"""Gaussian Error Linear Unit.
This is a smoother version of the RELU.
Original paper: https://arxiv.org/abs/1606.08415
Args:
x: float Tensor to perform activation.
Returns:
`x` with the GELU activation applied.
"""
cdf = 0.5 * (1.0 + tf.tanh(
(np.sqrt(2 / np.pi) * (x + 0.0447... | [
"def",
"gelu",
"(",
"x",
")",
":",
"cdf",
"=",
"0.5",
"*",
"(",
"1.0",
"+",
"tf",
".",
"tanh",
"(",
"(",
"np",
".",
"sqrt",
"(",
"2",
"/",
"np",
".",
"pi",
")",
"*",
"(",
"x",
"+",
"0.044715",
"*",
"tf",
".",
"pow",
"(",
"x",
",",
"3",
... | https://github.com/CLUEbenchmark/CLUE/blob/5bd39732734afecb490cf18a5212e692dbf2c007/baselines/models/albert/modeling.py#L286-L299 | |
TencentCloud/tencentcloud-sdk-python | 3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2 | tencentcloud/zj/v20190121/models.py | python | DescribeSmsSignListRequest.__init__ | (self) | r"""
:param License: 商户证书
:type License: str
:param SignIdSet: 签名ID数组
:type SignIdSet: list of int non-negative
:param International: 是否国际/港澳台短信：
0：表示国内短信。
1：表示国际/港澳台短信。
:type International: int | r"""
:param License: 商户证书
:type License: str
:param SignIdSet: 签名ID数组
:type SignIdSet: list of int non-negative
:param International: 是否国际/港澳台短信：
0：表示国内短信。
1：表示国际/港澳台短信。
:type International: int | [
"r",
":",
"param",
"License",
":",
"商户证书",
":",
"type",
"License",
":",
"str",
":",
"param",
"SignIdSet",
":",
"签名ID数组",
":",
"type",
"SignIdSet",
":",
"list",
"of",
"int",
"non",
"-",
"negative",
":",
"param",
"International",
":",
"是否国际",
"/",
"港澳台短信... | def __init__(self):
r"""
:param License: 商户证书
:type License: str
:param SignIdSet: 签名ID数组
:type SignIdSet: list of int non-negative
:param International: 是否国际/港澳台短信：
0：表示国内短信。
1：表示国际/港澳台短信。
:type International: int
"""
self.License = None
s... | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"License",
"=",
"None",
"self",
".",
"SignIdSet",
"=",
"None",
"self",
".",
"International",
"=",
"None"
] | https://github.com/TencentCloud/tencentcloud-sdk-python/blob/3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2/tencentcloud/zj/v20190121/models.py#L975-L988 | ||
stoq/stoq | c26991644d1affcf96bc2e0a0434796cabdf8448 | stoqlib/domain/workorder.py | python | WorkOrderPackageItem.send | (self, user: LoginUser) | Send the item to the :attr:`WorkOrderPackage.destination_branch`
This will mark the package as sent. Note that it's only possible
to call this on the same branch as :attr:`.source_branch`.
When calling this, the work orders' :attr:`WorkOrder.current_branch`
will be ``None``, since they... | Send the item to the :attr:`WorkOrderPackage.destination_branch` | [
"Send",
"the",
"item",
"to",
"the",
":",
"attr",
":",
"WorkOrderPackage",
".",
"destination_branch"
] | def send(self, user: LoginUser):
"""Send the item to the :attr:`WorkOrderPackage.destination_branch`
This will mark the package as sent. Note that it's only possible
to call this on the same branch as :attr:`.source_branch`.
When calling this, the work orders' :attr:`WorkOrder.current_... | [
"def",
"send",
"(",
"self",
",",
"user",
":",
"LoginUser",
")",
":",
"if",
"self",
".",
"package",
".",
"destination_branch",
"!=",
"self",
".",
"order",
".",
"branch",
":",
"old_execution_branch",
"=",
"self",
".",
"order",
".",
"execution_branch",
"self"... | https://github.com/stoq/stoq/blob/c26991644d1affcf96bc2e0a0434796cabdf8448/stoqlib/domain/workorder.py#L103-L119 | ||
jupyter/nbformat | dee3e4f0e97084009f8a8abc34104ad45b9b9896 | nbformat/_struct.py | python | Struct.__isub__ | (self, other) | return self | Inplace remove keys from self that are in other.
Examples
--------
>>> s1 = Struct(a=10,b=30)
>>> s2 = Struct(a=40)
>>> s1 -= s2
>>> s1
{'b': 30} | Inplace remove keys from self that are in other. | [
"Inplace",
"remove",
"keys",
"from",
"self",
"that",
"are",
"in",
"other",
"."
] | def __isub__(self, other):
"""Inplace remove keys from self that are in other.
Examples
--------
>>> s1 = Struct(a=10,b=30)
>>> s2 = Struct(a=40)
>>> s1 -= s2
>>> s1
{'b': 30}
"""
for k in other.keys():
if k in self:
... | [
"def",
"__isub__",
"(",
"self",
",",
"other",
")",
":",
"for",
"k",
"in",
"other",
".",
"keys",
"(",
")",
":",
"if",
"k",
"in",
"self",
":",
"del",
"self",
"[",
"k",
"]",
"return",
"self"
] | https://github.com/jupyter/nbformat/blob/dee3e4f0e97084009f8a8abc34104ad45b9b9896/nbformat/_struct.py#L189-L204 | |
IronLanguages/ironpython3 | 7a7bb2a872eeab0d1009fc8a6e24dca43f65b693 | Src/StdLib/Lib/pickle.py | python | _Unpickler.load_long4 | (self) | [] | def load_long4(self):
n, = unpack('<i', self.read(4))
if n < 0:
# Corrupt or hostile pickle -- we never write one like this
raise UnpicklingError("LONG pickle has negative byte count")
data = self.read(n)
self.append(decode_long(data)) | [
"def",
"load_long4",
"(",
"self",
")",
":",
"n",
",",
"=",
"unpack",
"(",
"'<i'",
",",
"self",
".",
"read",
"(",
"4",
")",
")",
"if",
"n",
"<",
"0",
":",
"# Corrupt or hostile pickle -- we never write one like this",
"raise",
"UnpicklingError",
"(",
"\"LONG ... | https://github.com/IronLanguages/ironpython3/blob/7a7bb2a872eeab0d1009fc8a6e24dca43f65b693/Src/StdLib/Lib/pickle.py#L1135-L1141 | ||||
mongodb/mongo-python-driver | c760f900f2e4109a247c2ffc8ad3549362007772 | gridfs/grid_file.py | python | GridOut.__exit__ | (self, exc_type, exc_val, exc_tb) | return False | Makes it possible to use :class:`GridOut` files
with the context manager protocol. | Makes it possible to use :class:`GridOut` files
with the context manager protocol. | [
"Makes",
"it",
"possible",
"to",
"use",
":",
"class",
":",
"GridOut",
"files",
"with",
"the",
"context",
"manager",
"protocol",
"."
] | def __exit__(self, exc_type, exc_val, exc_tb):
"""Makes it possible to use :class:`GridOut` files
with the context manager protocol.
"""
self.close()
return False | [
"def",
"__exit__",
"(",
"self",
",",
"exc_type",
",",
"exc_val",
",",
"exc_tb",
")",
":",
"self",
".",
"close",
"(",
")",
"return",
"False"
] | https://github.com/mongodb/mongo-python-driver/blob/c760f900f2e4109a247c2ffc8ad3549362007772/gridfs/grid_file.py#L694-L699 | |
meduza-corp/interstellar | 40a801ccd7856491726f5a126621d9318cabe2e1 | gsutil/third_party/httplib2/python2/httplib2/__init__.py | python | safename | (filename) | return ",".join((filename, filemd5)) | Return a filename suitable for the cache.
Strips dangerous and common characters to create a filename we
can use to store the cache in. | Return a filename suitable for the cache. | [
"Return",
"a",
"filename",
"suitable",
"for",
"the",
"cache",
"."
] | def safename(filename):
"""Return a filename suitable for the cache.
Strips dangerous and common characters to create a filename we
can use to store the cache in.
"""
try:
if re_url_scheme.match(filename):
if isinstance(filename,str):
filename = filename.decode(... | [
"def",
"safename",
"(",
"filename",
")",
":",
"try",
":",
"if",
"re_url_scheme",
".",
"match",
"(",
"filename",
")",
":",
"if",
"isinstance",
"(",
"filename",
",",
"str",
")",
":",
"filename",
"=",
"filename",
".",
"decode",
"(",
"'utf-8'",
")",
"filen... | https://github.com/meduza-corp/interstellar/blob/40a801ccd7856491726f5a126621d9318cabe2e1/gsutil/third_party/httplib2/python2/httplib2/__init__.py#L235-L260 | |
XX-net/XX-Net | a9898cfcf0084195fb7e69b6bc834e59aecdf14f | python3.8.2/Lib/asyncio/base_events.py | python | BaseEventLoop.run_forever | (self) | Run until stop() is called. | Run until stop() is called. | [
"Run",
"until",
"stop",
"()",
"is",
"called",
"."
] | def run_forever(self):
"""Run until stop() is called."""
self._check_closed()
self._check_running()
self._set_coroutine_origin_tracking(self._debug)
self._thread_id = threading.get_ident()
old_agen_hooks = sys.get_asyncgen_hooks()
sys.set_asyncgen_hooks(firstiter... | [
"def",
"run_forever",
"(",
"self",
")",
":",
"self",
".",
"_check_closed",
"(",
")",
"self",
".",
"_check_running",
"(",
")",
"self",
".",
"_set_coroutine_origin_tracking",
"(",
"self",
".",
"_debug",
")",
"self",
".",
"_thread_id",
"=",
"threading",
".",
... | https://github.com/XX-net/XX-Net/blob/a9898cfcf0084195fb7e69b6bc834e59aecdf14f/python3.8.2/Lib/asyncio/base_events.py#L557-L578 | ||
uber/causalml | ebf265156f23bba4939a7db0f635c35408324708 | causalml/optimize/utils.py | python | get_actual_value | (treatment, observed_outcome, conversion_value,
conditions, conversion_cost, impression_cost) | return actual_value | Set the conversion and impression costs based on a dict of parameters.
Calculate the actual value of targeting a user with the actual treatment group
using the above parameters.
Params
------
treatment : array, shape = (num_samples, )
Treatment array.
observed_outcome : array, shape =... | Set the conversion and impression costs based on a dict of parameters. | [
"Set",
"the",
"conversion",
"and",
"impression",
"costs",
"based",
"on",
"a",
"dict",
"of",
"parameters",
"."
] | def get_actual_value(treatment, observed_outcome, conversion_value,
conditions, conversion_cost, impression_cost):
'''
Set the conversion and impression costs based on a dict of parameters.
Calculate the actual value of targeting a user with the actual treatment group
using the abo... | [
"def",
"get_actual_value",
"(",
"treatment",
",",
"observed_outcome",
",",
"conversion_value",
",",
"conditions",
",",
"conversion_cost",
",",
"impression_cost",
")",
":",
"cost_filter",
"=",
"[",
"actual_group",
"==",
"possible_group",
"for",
"actual_group",
"in",
... | https://github.com/uber/causalml/blob/ebf265156f23bba4939a7db0f635c35408324708/causalml/optimize/utils.py#L56-L106 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.