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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
kubernetes-client/python | 47b9da9de2d02b2b7a34fbe05afb44afd130d73a | kubernetes/client/api/batch_v1_api.py | python | BatchV1Api.read_namespaced_job_status_with_http_info | (self, name, namespace, **kwargs) | return self.api_client.call_api(
'/apis/batch/v1/namespaces/{namespace}/jobs/{name}/status', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='V... | read_namespaced_job_status # noqa: E501
read status of the specified Job # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.read_namespaced_job_status_with_http_info(name, namespace, a... | read_namespaced_job_status # noqa: E501 | [
"read_namespaced_job_status",
"#",
"noqa",
":",
"E501"
] | def read_namespaced_job_status_with_http_info(self, name, namespace, **kwargs): # noqa: E501
"""read_namespaced_job_status # noqa: E501
read status of the specified Job # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please ... | [
"def",
"read_namespaced_job_status_with_http_info",
"(",
"self",
",",
"name",
",",
"namespace",
",",
"*",
"*",
"kwargs",
")",
":",
"# noqa: E501",
"local_var_params",
"=",
"locals",
"(",
")",
"all_params",
"=",
"[",
"'name'",
",",
"'namespace'",
",",
"'pretty'",... | https://github.com/kubernetes-client/python/blob/47b9da9de2d02b2b7a34fbe05afb44afd130d73a/kubernetes/client/api/batch_v1_api.py#L2757-L2856 | |
sqlfluff/sqlfluff | c2278f41f270a29ef5ffc6b179236abf32dc18e1 | src/sqlfluff/core/linter/linted_file.py | python | LintedFile.ignore_masked_violations | (
cls, violations: List[SQLBaseError], ignore_mask: List[NoQaDirective]
) | return violations | Remove any violations specified by ignore_mask.
This involves two steps:
1. Filter out violations affected by single-line "noqa" directives.
2. Filter out violations affected by disable/enable "noqa" directives. | Remove any violations specified by ignore_mask. | [
"Remove",
"any",
"violations",
"specified",
"by",
"ignore_mask",
"."
] | def ignore_masked_violations(
cls, violations: List[SQLBaseError], ignore_mask: List[NoQaDirective]
) -> List[SQLBaseError]:
"""Remove any violations specified by ignore_mask.
This involves two steps:
1. Filter out violations affected by single-line "noqa" directives.
2. Fil... | [
"def",
"ignore_masked_violations",
"(",
"cls",
",",
"violations",
":",
"List",
"[",
"SQLBaseError",
"]",
",",
"ignore_mask",
":",
"List",
"[",
"NoQaDirective",
"]",
")",
"->",
"List",
"[",
"SQLBaseError",
"]",
":",
"ignore_specific",
"=",
"[",
"ignore",
"for... | https://github.com/sqlfluff/sqlfluff/blob/c2278f41f270a29ef5ffc6b179236abf32dc18e1/src/sqlfluff/core/linter/linted_file.py#L176-L191 | |
tensorflow/models | 6b8bb0cbeb3e10415c7a87448f08adc3c484c1d3 | official/vision/beta/ops/augment.py | python | AutoAugment.distort | (self, image: tf.Tensor) | return image | See base class. | See base class. | [
"See",
"base",
"class",
"."
] | def distort(self, image: tf.Tensor) -> tf.Tensor:
"""See base class."""
input_image_type = image.dtype
if input_image_type != tf.uint8:
image = tf.clip_by_value(image, 0.0, 255.0)
image = tf.cast(image, dtype=tf.uint8)
tf_policies = self._make_tf_policies()
image, _ = select_and_apply_r... | [
"def",
"distort",
"(",
"self",
",",
"image",
":",
"tf",
".",
"Tensor",
")",
"->",
"tf",
".",
"Tensor",
":",
"input_image_type",
"=",
"image",
".",
"dtype",
"if",
"input_image_type",
"!=",
"tf",
".",
"uint8",
":",
"image",
"=",
"tf",
".",
"clip_by_value... | https://github.com/tensorflow/models/blob/6b8bb0cbeb3e10415c7a87448f08adc3c484c1d3/official/vision/beta/ops/augment.py#L1657-L1666 | |
celery/billiard | 269ef67354a3a205cea780aa8ea451e0d17cd37c | billiard/managers.py | python | Server.serve_client | (self, conn) | Handle requests from the proxies in a particular process/thread | Handle requests from the proxies in a particular process/thread | [
"Handle",
"requests",
"from",
"the",
"proxies",
"in",
"a",
"particular",
"process",
"/",
"thread"
] | def serve_client(self, conn):
'''
Handle requests from the proxies in a particular process/thread
'''
util.debug('starting server thread to service %r',
threading.current_thread().name)
recv = conn.recv
send = conn.send
id_to_obj = self.id_to_o... | [
"def",
"serve_client",
"(",
"self",
",",
"conn",
")",
":",
"util",
".",
"debug",
"(",
"'starting server thread to service %r'",
",",
"threading",
".",
"current_thread",
"(",
")",
".",
"name",
")",
"recv",
"=",
"conn",
".",
"recv",
"send",
"=",
"conn",
".",... | https://github.com/celery/billiard/blob/269ef67354a3a205cea780aa8ea451e0d17cd37c/billiard/managers.py#L232-L304 | ||
openedx/edx-platform | 68dd185a0ab45862a2a61e0f803d7e03d2be71b5 | common/djangoapps/edxmako/template.py | python | Template.render | (self, context=None, request=None) | return self.mako_template.render_unicode(**context_dictionary) | This takes a render call with a context (from Django) and translates
it to a render call on the mako template.
When rendering a large sequence of XBlocks, we may end up rendering
hundreds of small templates. Even if context processors aren't very
expensive individually, they will quickl... | This takes a render call with a context (from Django) and translates
it to a render call on the mako template. | [
"This",
"takes",
"a",
"render",
"call",
"with",
"a",
"context",
"(",
"from",
"Django",
")",
"and",
"translates",
"it",
"to",
"a",
"render",
"call",
"on",
"the",
"mako",
"template",
"."
] | def render(self, context=None, request=None):
"""
This takes a render call with a context (from Django) and translates
it to a render call on the mako template.
When rendering a large sequence of XBlocks, we may end up rendering
hundreds of small templates. Even if context proce... | [
"def",
"render",
"(",
"self",
",",
"context",
"=",
"None",
",",
"request",
"=",
"None",
")",
":",
"context_object",
"=",
"self",
".",
"_get_context_object",
"(",
"request",
")",
"request_cache",
"=",
"RequestCache",
"(",
"'context_processors'",
")",
"cache_res... | https://github.com/openedx/edx-platform/blob/68dd185a0ab45862a2a61e0f803d7e03d2be71b5/common/djangoapps/edxmako/template.py#L48-L82 | |
TensorMSA/tensormsa | c36b565159cd934533636429add3c7d7263d622b | master/workflow/preprocess/workflow_feed_fr2wv.py | python | WorkflowFeedFr2Wv.get_column_list | (self) | return self.conf['col_list'] | :param node_id:
:return: | [] | def get_column_list(self):
"""
:param node_id:
:return:
"""
if('conf' not in self.__dict__) :
self.conf = self.get_view_obj(self.key)
return self.conf['col_list'] | [
"def",
"get_column_list",
"(",
"self",
")",
":",
"if",
"(",
"'conf'",
"not",
"in",
"self",
".",
"__dict__",
")",
":",
"self",
".",
"conf",
"=",
"self",
".",
"get_view_obj",
"(",
"self",
".",
"key",
")",
"return",
"self",
".",
"conf",
"[",
"'col_list'... | https://github.com/TensorMSA/tensormsa/blob/c36b565159cd934533636429add3c7d7263d622b/master/workflow/preprocess/workflow_feed_fr2wv.py#L18-L26 | ||
openedx/edx-platform | 68dd185a0ab45862a2a61e0f803d7e03d2be71b5 | lms/djangoapps/courseware/plugins.py | python | TextbooksCourseApp.set_enabled | (cls, course_key: CourseKey, enabled: bool, user: 'User') | The textbook app can be globally enabled/disabled.
Currently, it isn't possible to enable/disable this app on a per-course basis. | The textbook app can be globally enabled/disabled. | [
"The",
"textbook",
"app",
"can",
"be",
"globally",
"enabled",
"/",
"disabled",
"."
] | def set_enabled(cls, course_key: CourseKey, enabled: bool, user: 'User') -> bool:
"""
The textbook app can be globally enabled/disabled.
Currently, it isn't possible to enable/disable this app on a per-course basis.
"""
raise ValueError("The textbook app can not be enabled/disab... | [
"def",
"set_enabled",
"(",
"cls",
",",
"course_key",
":",
"CourseKey",
",",
"enabled",
":",
"bool",
",",
"user",
":",
"'User'",
")",
"->",
"bool",
":",
"raise",
"ValueError",
"(",
"\"The textbook app can not be enabled/disabled for a single course.\"",
")"
] | https://github.com/openedx/edx-platform/blob/68dd185a0ab45862a2a61e0f803d7e03d2be71b5/lms/djangoapps/courseware/plugins.py#L97-L103 | ||
renskiy/fabricio | 030b1d6e8050628fcfce78615a056e27e8e56324 | fabricio/docker/service.py | python | RemovableOption.__init__ | (self, func=None, path=None, force_add=None, force_rm=None, **kwargs) | [] | def __init__(self, func=None, path=None, force_add=None, force_rm=None, **kwargs): # noqa
super(RemovableOption, self).__init__(func=func, **kwargs)
self.path = path or self.path
self.force_add = force_add if force_add is not None else self.force_add
self.force_rm = force_rm if force_rm... | [
"def",
"__init__",
"(",
"self",
",",
"func",
"=",
"None",
",",
"path",
"=",
"None",
",",
"force_add",
"=",
"None",
",",
"force_rm",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"# noqa",
"super",
"(",
"RemovableOption",
",",
"self",
")",
".",
"_... | https://github.com/renskiy/fabricio/blob/030b1d6e8050628fcfce78615a056e27e8e56324/fabricio/docker/service.py#L49-L53 | ||||
owtf/owtf | 22d6d35fb2a232fcc56bf5ed504ec52fd65f15b6 | owtf/managers/target.py | python | TargetManager.get_target_urls | (self) | return get_all_targets(self.session, "target_url") | Return target URLs
:return: List of target urls
:rtype: `list` | Return target URLs
:return: List of target urls
:rtype: `list` | [
"Return",
"target",
"URLs",
":",
"return",
":",
"List",
"of",
"target",
"urls",
":",
"rtype",
":",
"list"
] | def get_target_urls(self):
"""Return target URLs
:return: List of target urls
:rtype: `list`
"""
return get_all_targets(self.session, "target_url") | [
"def",
"get_target_urls",
"(",
"self",
")",
":",
"return",
"get_all_targets",
"(",
"self",
".",
"session",
",",
"\"target_url\"",
")"
] | https://github.com/owtf/owtf/blob/22d6d35fb2a232fcc56bf5ed504ec52fd65f15b6/owtf/managers/target.py#L186-L191 | |
meijieru/AtomNAS | a3ea885c5e94269c6a95140e1ee30ed750b314e8 | utils/rmsprop.py | python | RMSprop.compress_drop | (self, info, verbose=False) | Remove unused parameters for dynamic network shrinkage. | Remove unused parameters for dynamic network shrinkage. | [
"Remove",
"unused",
"parameters",
"for",
"dynamic",
"network",
"shrinkage",
"."
] | def compress_drop(self, info, verbose=False):
"""Remove unused parameters for dynamic network shrinkage."""
var_old = info['var_old']
if verbose:
logging.info('RMSProp drop: {}'.format(info['var_old_name']))
assert info['type'] == 'variable'
found = False
for... | [
"def",
"compress_drop",
"(",
"self",
",",
"info",
",",
"verbose",
"=",
"False",
")",
":",
"var_old",
"=",
"info",
"[",
"'var_old'",
"]",
"if",
"verbose",
":",
"logging",
".",
"info",
"(",
"'RMSProp drop: {}'",
".",
"format",
"(",
"info",
"[",
"'var_old_n... | https://github.com/meijieru/AtomNAS/blob/a3ea885c5e94269c6a95140e1ee30ed750b314e8/utils/rmsprop.py#L167-L182 | ||
Parsl/parsl | af2535341152b2640fdd1a3b73b891992bf1b3ea | parsl/monitoring/db_manager.py | python | DatabaseManager.start | (self,
priority_queue: "queue.Queue[Tuple[MessageType, Dict[str, Any]]]",
node_queue: "queue.Queue[Dict[str, Any]]",
block_queue: "queue.Queue[Dict[str, Any]]",
resource_queue: "queue.Queue[Dict[str, Any]]") | maintain a set to track the tasks that are already INSERTed into database
to prevent race condition that the first resource message (indicate 'running' state)
arrives before the first task message. In such a case, the resource table
primary key would be violated.
If that happens, the mes... | maintain a set to track the tasks that are already INSERTed into database
to prevent race condition that the first resource message (indicate 'running' state)
arrives before the first task message. In such a case, the resource table
primary key would be violated.
If that happens, the mes... | [
"maintain",
"a",
"set",
"to",
"track",
"the",
"tasks",
"that",
"are",
"already",
"INSERTed",
"into",
"database",
"to",
"prevent",
"race",
"condition",
"that",
"the",
"first",
"resource",
"message",
"(",
"indicate",
"running",
"state",
")",
"arrives",
"before",... | def start(self,
priority_queue: "queue.Queue[Tuple[MessageType, Dict[str, Any]]]",
node_queue: "queue.Queue[Dict[str, Any]]",
block_queue: "queue.Queue[Dict[str, Any]]",
resource_queue: "queue.Queue[Dict[str, Any]]") -> None:
self._kill_event = threading.... | [
"def",
"start",
"(",
"self",
",",
"priority_queue",
":",
"\"queue.Queue[Tuple[MessageType, Dict[str, Any]]]\"",
",",
"node_queue",
":",
"\"queue.Queue[Dict[str, Any]]\"",
",",
"block_queue",
":",
"\"queue.Queue[Dict[str, Any]]\"",
",",
"resource_queue",
":",
"\"queue.Queue[Dict... | https://github.com/Parsl/parsl/blob/af2535341152b2640fdd1a3b73b891992bf1b3ea/parsl/monitoring/db_manager.py#L281-L521 | ||
flyyufelix/DenseNet-Keras | 8c42d8092b2616a9fbf025c756b14c67be708685 | densenet169.py | python | conv_block | (x, stage, branch, nb_filter, dropout_rate=None, weight_decay=1e-4) | return x | Apply BatchNorm, Relu, bottleneck 1x1 Conv2D, 3x3 Conv2D, and option dropout
# Arguments
x: input tensor
stage: index for dense block
branch: layer index within each dense block
nb_filter: number of filters
dropout_rate: dropout rate
weigh... | Apply BatchNorm, Relu, bottleneck 1x1 Conv2D, 3x3 Conv2D, and option dropout
# Arguments
x: input tensor
stage: index for dense block
branch: layer index within each dense block
nb_filter: number of filters
dropout_rate: dropout rate
weigh... | [
"Apply",
"BatchNorm",
"Relu",
"bottleneck",
"1x1",
"Conv2D",
"3x3",
"Conv2D",
"and",
"option",
"dropout",
"#",
"Arguments",
"x",
":",
"input",
"tensor",
"stage",
":",
"index",
"for",
"dense",
"block",
"branch",
":",
"layer",
"index",
"within",
"each",
"dense... | def conv_block(x, stage, branch, nb_filter, dropout_rate=None, weight_decay=1e-4):
'''Apply BatchNorm, Relu, bottleneck 1x1 Conv2D, 3x3 Conv2D, and option dropout
# Arguments
x: input tensor
stage: index for dense block
branch: layer index within each dense block
... | [
"def",
"conv_block",
"(",
"x",
",",
"stage",
",",
"branch",
",",
"nb_filter",
",",
"dropout_rate",
"=",
"None",
",",
"weight_decay",
"=",
"1e-4",
")",
":",
"eps",
"=",
"1.1e-5",
"conv_name_base",
"=",
"'conv'",
"+",
"str",
"(",
"stage",
")",
"+",
"'_'"... | https://github.com/flyyufelix/DenseNet-Keras/blob/8c42d8092b2616a9fbf025c756b14c67be708685/densenet169.py#L80-L114 | |
eirannejad/pyRevit | 49c0b7eb54eb343458ce1365425e6552d0c47d44 | site-packages/sqlalchemy/sql/type_api.py | python | TypeDecorator._has_bind_processor | (self) | return self.__class__.process_bind_param.__code__ \
is not TypeDecorator.process_bind_param.__code__ | memoized boolean, check if process_bind_param is implemented.
Allows the base process_bind_param to raise
NotImplementedError without needing to test an expensive
exception throw. | memoized boolean, check if process_bind_param is implemented. | [
"memoized",
"boolean",
"check",
"if",
"process_bind_param",
"is",
"implemented",
"."
] | def _has_bind_processor(self):
"""memoized boolean, check if process_bind_param is implemented.
Allows the base process_bind_param to raise
NotImplementedError without needing to test an expensive
exception throw.
"""
return self.__class__.process_bind_param.__code__ \... | [
"def",
"_has_bind_processor",
"(",
"self",
")",
":",
"return",
"self",
".",
"__class__",
".",
"process_bind_param",
".",
"__code__",
"is",
"not",
"TypeDecorator",
".",
"process_bind_param",
".",
"__code__"
] | https://github.com/eirannejad/pyRevit/blob/49c0b7eb54eb343458ce1365425e6552d0c47d44/site-packages/sqlalchemy/sql/type_api.py#L983-L993 | |
cloudbase/cloudbase-init | 300dabb36e91502f4ae93640136ad7a804aebd88 | cloudbaseinit/metadata/services/packet.py | python | PacketService.get_user_data | (self) | return self._get_cache_data("userdata") | Get the available user data for the current instance. | Get the available user data for the current instance. | [
"Get",
"the",
"available",
"user",
"data",
"for",
"the",
"current",
"instance",
"."
] | def get_user_data(self):
"""Get the available user data for the current instance."""
return self._get_cache_data("userdata") | [
"def",
"get_user_data",
"(",
"self",
")",
":",
"return",
"self",
".",
"_get_cache_data",
"(",
"\"userdata\"",
")"
] | https://github.com/cloudbase/cloudbase-init/blob/300dabb36e91502f4ae93640136ad7a804aebd88/cloudbaseinit/metadata/services/packet.py#L86-L88 | |
hyperledger/aries-cloudagent-python | 2f36776e99f6053ae92eed8123b5b1b2e891c02a | aries_cloudagent/protocols/issue_credential/v2_0/routes.py | python | credential_exchange_create_free_offer | (request: web.BaseRequest) | return web.json_response(result) | Request handler for creating free credential offer.
Unlike with `send-offer`, this credential exchange is not tied to a specific
connection. It must be dispatched out-of-band by the controller.
Args:
request: aiohttp request object
Returns:
The credential exchange record | Request handler for creating free credential offer. | [
"Request",
"handler",
"for",
"creating",
"free",
"credential",
"offer",
"."
] | async def credential_exchange_create_free_offer(request: web.BaseRequest):
"""
Request handler for creating free credential offer.
Unlike with `send-offer`, this credential exchange is not tied to a specific
connection. It must be dispatched out-of-band by the controller.
Args:
request: ai... | [
"async",
"def",
"credential_exchange_create_free_offer",
"(",
"request",
":",
"web",
".",
"BaseRequest",
")",
":",
"r_time",
"=",
"get_timer",
"(",
")",
"context",
":",
"AdminRequestContext",
"=",
"request",
"[",
"\"context\"",
"]",
"profile",
"=",
"context",
".... | https://github.com/hyperledger/aries-cloudagent-python/blob/2f36776e99f6053ae92eed8123b5b1b2e891c02a/aries_cloudagent/protocols/issue_credential/v2_0/routes.py#L820-L879 | |
caiiiac/Machine-Learning-with-Python | 1a26c4467da41ca4ebc3d5bd789ea942ef79422f | MachineLearning/venv/lib/python3.5/site-packages/pandas/io/sql.py | python | read_sql | (sql, con, index_col=None, coerce_float=True, params=None,
parse_dates=None, columns=None, chunksize=None) | Read SQL query or database table into a DataFrame.
Parameters
----------
sql : string SQL query or SQLAlchemy Selectable (select or text object)
to be executed, or database table name.
con : SQLAlchemy connectable(engine/connection) or database string URI
or DBAPI2 connection (fallback ... | Read SQL query or database table into a DataFrame. | [
"Read",
"SQL",
"query",
"or",
"database",
"table",
"into",
"a",
"DataFrame",
"."
] | def read_sql(sql, con, index_col=None, coerce_float=True, params=None,
parse_dates=None, columns=None, chunksize=None):
"""
Read SQL query or database table into a DataFrame.
Parameters
----------
sql : string SQL query or SQLAlchemy Selectable (select or text object)
to be exe... | [
"def",
"read_sql",
"(",
"sql",
",",
"con",
",",
"index_col",
"=",
"None",
",",
"coerce_float",
"=",
"True",
",",
"params",
"=",
"None",
",",
"parse_dates",
"=",
"None",
",",
"columns",
"=",
"None",
",",
"chunksize",
"=",
"None",
")",
":",
"pandas_sql",... | https://github.com/caiiiac/Machine-Learning-with-Python/blob/1a26c4467da41ca4ebc3d5bd789ea942ef79422f/MachineLearning/venv/lib/python3.5/site-packages/pandas/io/sql.py#L335-L416 | ||
sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/combinat/posets/poset_examples.py | python | Posets.CoxeterGroupAbsoluteOrderPoset | (W, use_reduced_words=True) | return Poset({s: s.absolute_covers() for s in W}) | r"""
Return the poset of elements of a Coxeter group with respect
to absolute order.
INPUT:
- ``W`` -- a Coxeter group
- ``use_reduced_words`` -- boolean (default: ``True``); if
``True``, then the elements are labeled by their lexicographically
minimal reduc... | r"""
Return the poset of elements of a Coxeter group with respect
to absolute order. | [
"r",
"Return",
"the",
"poset",
"of",
"elements",
"of",
"a",
"Coxeter",
"group",
"with",
"respect",
"to",
"absolute",
"order",
"."
] | def CoxeterGroupAbsoluteOrderPoset(W, use_reduced_words=True):
r"""
Return the poset of elements of a Coxeter group with respect
to absolute order.
INPUT:
- ``W`` -- a Coxeter group
- ``use_reduced_words`` -- boolean (default: ``True``); if
``True``, then the ... | [
"def",
"CoxeterGroupAbsoluteOrderPoset",
"(",
"W",
",",
"use_reduced_words",
"=",
"True",
")",
":",
"if",
"use_reduced_words",
":",
"element_labels",
"=",
"{",
"s",
":",
"tuple",
"(",
"s",
".",
"reduced_word",
"(",
")",
")",
"for",
"s",
"in",
"W",
"}",
"... | https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/combinat/posets/poset_examples.py#L1285-L1310 | |
iagcl/watchmen | d329b357e6fde3ad91e972988b160a33c12afc2a | elasticsearch/roll_indexes/packages/elasticsearch/client/cluster.py | python | ClusterClient.reroute | (self, body=None, params=None) | return self.transport.perform_request('POST', '/_cluster/reroute',
params=params, body=body) | Explicitly execute a cluster reroute allocation command including specific commands.
`<http://www.elastic.co/guide/en/elasticsearch/reference/current/cluster-reroute.html>`_
:arg body: The definition of `commands` to perform (`move`, `cancel`,
`allocate`)
:arg dry_run: Simulate the ... | Explicitly execute a cluster reroute allocation command including specific commands.
`<http://www.elastic.co/guide/en/elasticsearch/reference/current/cluster-reroute.html>`_ | [
"Explicitly",
"execute",
"a",
"cluster",
"reroute",
"allocation",
"command",
"including",
"specific",
"commands",
".",
"<http",
":",
"//",
"www",
".",
"elastic",
".",
"co",
"/",
"guide",
"/",
"en",
"/",
"elasticsearch",
"/",
"reference",
"/",
"current",
"/",... | def reroute(self, body=None, params=None):
"""
Explicitly execute a cluster reroute allocation command including specific commands.
`<http://www.elastic.co/guide/en/elasticsearch/reference/current/cluster-reroute.html>`_
:arg body: The definition of `commands` to perform (`move`, `cance... | [
"def",
"reroute",
"(",
"self",
",",
"body",
"=",
"None",
",",
"params",
"=",
"None",
")",
":",
"return",
"self",
".",
"transport",
".",
"perform_request",
"(",
"'POST'",
",",
"'/_cluster/reroute'",
",",
"params",
"=",
"params",
",",
"body",
"=",
"body",
... | https://github.com/iagcl/watchmen/blob/d329b357e6fde3ad91e972988b160a33c12afc2a/elasticsearch/roll_indexes/packages/elasticsearch/client/cluster.py#L102-L122 | |
vmware/vsphere-automation-sdk-python | ba7d4e0742f58a641dfed9538ecbbb1db4f3891e | samples/vsphere/logforwarding/log_forwarding.py | python | LogForwarding.__init__ | (self) | [] | def __init__(self):
self.loghost = None
self.protocol = None
self.port = None
self.stub_config = None
self.log_forwarding_client = None | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"loghost",
"=",
"None",
"self",
".",
"protocol",
"=",
"None",
"self",
".",
"port",
"=",
"None",
"self",
".",
"stub_config",
"=",
"None",
"self",
".",
"log_forwarding_client",
"=",
"None"
] | https://github.com/vmware/vsphere-automation-sdk-python/blob/ba7d4e0742f58a641dfed9538ecbbb1db4f3891e/samples/vsphere/logforwarding/log_forwarding.py#L35-L40 | ||||
samgranger/EQGRP | fa0a1e1460767b8312839dc4be922f26ecdd250b | Firewall/EXPLOITS/EPBA/EPICBANANA/pexpect.py | python | spawn.__interact_writen | (self, fd, data) | This is used by the interact() method. | This is used by the interact() method. | [
"This",
"is",
"used",
"by",
"the",
"interact",
"()",
"method",
"."
] | def __interact_writen(self, fd, data):
"""This is used by the interact() method.
"""
while data != '' and self.isalive():
n = os.write(fd, data)
data = data[n:] | [
"def",
"__interact_writen",
"(",
"self",
",",
"fd",
",",
"data",
")",
":",
"while",
"data",
"!=",
"''",
"and",
"self",
".",
"isalive",
"(",
")",
":",
"n",
"=",
"os",
".",
"write",
"(",
"fd",
",",
"data",
")",
"data",
"=",
"data",
"[",
"n",
":",... | https://github.com/samgranger/EQGRP/blob/fa0a1e1460767b8312839dc4be922f26ecdd250b/Firewall/EXPLOITS/EPBA/EPICBANANA/pexpect.py#L1496-L1503 | ||
sedthh/pyxelate | fbbcfbc2894c8bbf825b0667923dca45d617b523 | pyxelate/pal.py | python | BasePalette.__len__ | (self) | return len(self.value) | Number of colors in palette | Number of colors in palette | [
"Number",
"of",
"colors",
"in",
"palette"
] | def __len__(self):
"""Number of colors in palette"""
return len(self.value) | [
"def",
"__len__",
"(",
"self",
")",
":",
"return",
"len",
"(",
"self",
".",
"value",
")"
] | https://github.com/sedthh/pyxelate/blob/fbbcfbc2894c8bbf825b0667923dca45d617b523/pyxelate/pal.py#L7-L9 | |
bendmorris/static-python | 2e0f8c4d7ed5b359dc7d8a75b6fb37e6b6c5c473 | Lib/idlelib/AutoComplete.py | python | AutoComplete.autocomplete_event | (self, event) | Happens when the user wants to complete his word, and if necessary,
open a completion list after that (if there is more than one
completion) | Happens when the user wants to complete his word, and if necessary,
open a completion list after that (if there is more than one
completion) | [
"Happens",
"when",
"the",
"user",
"wants",
"to",
"complete",
"his",
"word",
"and",
"if",
"necessary",
"open",
"a",
"completion",
"list",
"after",
"that",
"(",
"if",
"there",
"is",
"more",
"than",
"one",
"completion",
")"
] | def autocomplete_event(self, event):
"""Happens when the user wants to complete his word, and if necessary,
open a completion list after that (if there is more than one
completion)
"""
if hasattr(event, "mc_state") and event.mc_state:
# A modifier was pressed along wi... | [
"def",
"autocomplete_event",
"(",
"self",
",",
"event",
")",
":",
"if",
"hasattr",
"(",
"event",
",",
"\"mc_state\"",
")",
"and",
"event",
".",
"mc_state",
":",
"# A modifier was pressed along with the tab, continue as usual.",
"return",
"if",
"self",
".",
"autocomp... | https://github.com/bendmorris/static-python/blob/2e0f8c4d7ed5b359dc7d8a75b6fb37e6b6c5c473/Lib/idlelib/AutoComplete.py#L78-L92 | ||
AIChallenger/AI_Challenger_2017 | 52014e0defbbdd85bf94ab05d308300d5764022f | Baselines/caption_baseline/build_tfrecord.py | python | _process_dataset | (name, images, vocab, num_shards) | Processes a complete data set and saves it as a TFRecord.
Args:
name: Unique identifier specifying the dataset.
images: List of ImageMetadata.
vocab: A Vocabulary object.
num_shards: Integer number of shards for the output files. | Processes a complete data set and saves it as a TFRecord.
Args:
name: Unique identifier specifying the dataset.
images: List of ImageMetadata.
vocab: A Vocabulary object.
num_shards: Integer number of shards for the output files. | [
"Processes",
"a",
"complete",
"data",
"set",
"and",
"saves",
"it",
"as",
"a",
"TFRecord",
".",
"Args",
":",
"name",
":",
"Unique",
"identifier",
"specifying",
"the",
"dataset",
".",
"images",
":",
"List",
"of",
"ImageMetadata",
".",
"vocab",
":",
"A",
"V... | def _process_dataset(name, images, vocab, num_shards):
"""Processes a complete data set and saves it as a TFRecord.
Args:
name: Unique identifier specifying the dataset.
images: List of ImageMetadata.
vocab: A Vocabulary object.
num_shards: Integer number of shards for the output files.
... | [
"def",
"_process_dataset",
"(",
"name",
",",
"images",
",",
"vocab",
",",
"num_shards",
")",
":",
"# Break up each image into a separate entity for each caption.",
"images",
"=",
"[",
"ImageMetadata",
"(",
"image",
".",
"id",
",",
"image",
".",
"filename",
",",
"[... | https://github.com/AIChallenger/AI_Challenger_2017/blob/52014e0defbbdd85bf94ab05d308300d5764022f/Baselines/caption_baseline/build_tfrecord.py#L228-L270 | ||
fake-name/ReadableWebProxy | ed5c7abe38706acc2684a1e6cd80242a03c5f010 | WebMirror/management/rss_parser_funcs/feed_parse_extractCayuruyuBlogspotCom.py | python | extractCayuruyuBlogspotCom | (item) | return False | Parser for 'cayuruyu.blogspot.com' | Parser for 'cayuruyu.blogspot.com' | [
"Parser",
"for",
"cayuruyu",
".",
"blogspot",
".",
"com"
] | def extractCayuruyuBlogspotCom(item):
'''
Parser for 'cayuruyu.blogspot.com'
'''
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
tagmap = [
('PRC', 'PRC', 'translated'),
('Loiterous'... | [
"def",
"extractCayuruyuBlogspotCom",
"(",
"item",
")",
":",
"vol",
",",
"chp",
",",
"frag",
",",
"postfix",
"=",
"extractVolChapterFragmentPostfix",
"(",
"item",
"[",
"'title'",
"]",
")",
"if",
"not",
"(",
"chp",
"or",
"vol",
")",
"or",
"\"preview\"",
"in"... | https://github.com/fake-name/ReadableWebProxy/blob/ed5c7abe38706acc2684a1e6cd80242a03c5f010/WebMirror/management/rss_parser_funcs/feed_parse_extractCayuruyuBlogspotCom.py#L2-L21 | |
holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/networkx/algorithms/connectivity/edge_kcomponents.py | python | general_k_edge_subgraphs | (G, k) | General algorithm to find all maximal k-edge-connected subgraphs in G.
Returns
-------
k_edge_subgraphs : a generator of nx.Graphs that are k-edge-subgraphs
Each k-edge-subgraph is a maximal set of nodes that defines a subgraph
of G that is k-edge-connected.
Notes
-----
Impleme... | General algorithm to find all maximal k-edge-connected subgraphs in G. | [
"General",
"algorithm",
"to",
"find",
"all",
"maximal",
"k",
"-",
"edge",
"-",
"connected",
"subgraphs",
"in",
"G",
"."
] | def general_k_edge_subgraphs(G, k):
"""General algorithm to find all maximal k-edge-connected subgraphs in G.
Returns
-------
k_edge_subgraphs : a generator of nx.Graphs that are k-edge-subgraphs
Each k-edge-subgraph is a maximal set of nodes that defines a subgraph
of G that is k-edge-... | [
"def",
"general_k_edge_subgraphs",
"(",
"G",
",",
"k",
")",
":",
"if",
"k",
"<",
"1",
":",
"raise",
"ValueError",
"(",
"'k cannot be less than 1'",
")",
"# Node pruning optimization (incorporates early return)",
"# find_ccs is either connected_components/strongly_connected_comp... | https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/networkx/algorithms/connectivity/edge_kcomponents.py#L519-L596 | ||
pyparallel/pyparallel | 11e8c6072d48c8f13641925d17b147bf36ee0ba3 | Lib/site-packages/pandas-0.17.0-py3.3-win-amd64.egg/pandas/core/generic.py | python | NDFrame.to_clipboard | (self, excel=None, sep=None, **kwargs) | Attempt to write text representation of object to the system clipboard
This can be pasted into Excel, for example.
Parameters
----------
excel : boolean, defaults to True
if True, use the provided separator, writing in a csv
format for allowing easy pasti... | Attempt to write text representation of object to the system clipboard
This can be pasted into Excel, for example. | [
"Attempt",
"to",
"write",
"text",
"representation",
"of",
"object",
"to",
"the",
"system",
"clipboard",
"This",
"can",
"be",
"pasted",
"into",
"Excel",
"for",
"example",
"."
] | def to_clipboard(self, excel=None, sep=None, **kwargs):
"""
Attempt to write text representation of object to the system clipboard
This can be pasted into Excel, for example.
Parameters
----------
excel : boolean, defaults to True
if True, use the provide... | [
"def",
"to_clipboard",
"(",
"self",
",",
"excel",
"=",
"None",
",",
"sep",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"from",
"pandas",
".",
"io",
"import",
"clipboard",
"clipboard",
".",
"to_clipboard",
"(",
"self",
",",
"excel",
"=",
"excel",
... | https://github.com/pyparallel/pyparallel/blob/11e8c6072d48c8f13641925d17b147bf36ee0ba3/Lib/site-packages/pandas-0.17.0-py3.3-win-amd64.egg/pandas/core/generic.py#L1016-L1039 | ||
aiidateam/aiida-core | c743a335480f8bb3a5e4ebd2463a31f9f3b9f9b2 | aiida/cmdline/params/options/commands/computer.py | python | should_call_default_mpiprocs_per_machine | (ctx) | return job_resource_cls.accepts_default_mpiprocs_per_machine() | Return True if the scheduler can accept 'default_mpiprocs_per_machine',
False otherwise.
If there is a problem in determining the scheduler, return True to
avoid exceptions. | Return True if the scheduler can accept 'default_mpiprocs_per_machine',
False otherwise. | [
"Return",
"True",
"if",
"the",
"scheduler",
"can",
"accept",
"default_mpiprocs_per_machine",
"False",
"otherwise",
"."
] | def should_call_default_mpiprocs_per_machine(ctx): # pylint: disable=invalid-name
"""
Return True if the scheduler can accept 'default_mpiprocs_per_machine',
False otherwise.
If there is a problem in determining the scheduler, return True to
avoid exceptions.
"""
from aiida.common.exceptio... | [
"def",
"should_call_default_mpiprocs_per_machine",
"(",
"ctx",
")",
":",
"# pylint: disable=invalid-name",
"from",
"aiida",
".",
"common",
".",
"exceptions",
"import",
"ValidationError",
"scheduler_ep",
"=",
"ctx",
".",
"params",
"[",
"'scheduler'",
"]",
"if",
"schedu... | https://github.com/aiidateam/aiida-core/blob/c743a335480f8bb3a5e4ebd2463a31f9f3b9f9b2/aiida/cmdline/params/options/commands/computer.py#L18-L44 | |
chainer/chainercv | 7159616642e0be7c5b3ef380b848e16b7e99355b | examples/instance_segmentation/eval_instance_segmentation.py | python | main | () | [] | def main():
parser = argparse.ArgumentParser()
parser.add_argument('--dataset', choices=('sbd', 'coco'))
parser.add_argument('--model', choices=sorted(models.keys()))
parser.add_argument('--pretrained-model')
parser.add_argument('--batchsize', type=int)
parser.add_argument('--gpu', type=int, def... | [
"def",
"main",
"(",
")",
":",
"parser",
"=",
"argparse",
".",
"ArgumentParser",
"(",
")",
"parser",
".",
"add_argument",
"(",
"'--dataset'",
",",
"choices",
"=",
"(",
"'sbd'",
",",
"'coco'",
")",
")",
"parser",
".",
"add_argument",
"(",
"'--model'",
",",... | https://github.com/chainer/chainercv/blob/7159616642e0be7c5b3ef380b848e16b7e99355b/examples/instance_segmentation/eval_instance_segmentation.py#L96-L120 | ||||
mailpile/Mailpile | b5e4b85fd1e584951d6d13af362ab28821466eea | mailpile/spambayes/OptionsClass.py | python | OptionsClass.display_name | (self, sect, opt) | return self._options[sect, opt.lower()].display_name() | A name for the option suitable for display to a user. | A name for the option suitable for display to a user. | [
"A",
"name",
"for",
"the",
"option",
"suitable",
"for",
"display",
"to",
"a",
"user",
"."
] | def display_name(self, sect, opt):
'''A name for the option suitable for display to a user.'''
return self._options[sect, opt.lower()].display_name() | [
"def",
"display_name",
"(",
"self",
",",
"sect",
",",
"opt",
")",
":",
"return",
"self",
".",
"_options",
"[",
"sect",
",",
"opt",
".",
"lower",
"(",
")",
"]",
".",
"display_name",
"(",
")"
] | https://github.com/mailpile/Mailpile/blob/b5e4b85fd1e584951d6d13af362ab28821466eea/mailpile/spambayes/OptionsClass.py#L614-L616 | |
python-acoustics/python-acoustics | af72e7f88003f0bba06934ea38c98e8993c4a6c6 | acoustics/signal.py | python | phase_spectrum | (x, fs, N=None) | return f, np.unwrap(a) | Phase spectrum of instantaneous signal :math:`x(t)`.
:param x: Instantaneous signal :math:`x(t)`.
:param fs: Sample frequency :math:`f_s`.
:param N: Amount of FFT bins.
This function returns a single-sided unwrapped phase spectrum.
.. seealso:: :func:`angle_spectrum` for wrapped phase angle. | Phase spectrum of instantaneous signal :math:`x(t)`. | [
"Phase",
"spectrum",
"of",
"instantaneous",
"signal",
":",
"math",
":",
"x",
"(",
"t",
")",
"."
] | def phase_spectrum(x, fs, N=None):
"""
Phase spectrum of instantaneous signal :math:`x(t)`.
:param x: Instantaneous signal :math:`x(t)`.
:param fs: Sample frequency :math:`f_s`.
:param N: Amount of FFT bins.
This function returns a single-sided unwrapped phase spectrum.
.. seealso:: :func... | [
"def",
"phase_spectrum",
"(",
"x",
",",
"fs",
",",
"N",
"=",
"None",
")",
":",
"f",
",",
"a",
"=",
"angle_spectrum",
"(",
"x",
",",
"fs",
",",
"N",
"=",
"None",
")",
"return",
"f",
",",
"np",
".",
"unwrap",
"(",
"a",
")"
] | https://github.com/python-acoustics/python-acoustics/blob/af72e7f88003f0bba06934ea38c98e8993c4a6c6/acoustics/signal.py#L677-L691 | |
Tautulli/Tautulli | 2410eb33805aaac4bd1c5dad0f71e4f15afaf742 | lib/importlib_resources/_legacy.py | python | deprecated | (func) | return wrapper | [] | def deprecated(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
warnings.warn(
f"{func.__name__} is deprecated. Use files() instead. "
"Refer to https://importlib-resources.readthedocs.io"
"/en/latest/using.html#migrating-from-legacy for migration advice.",... | [
"def",
"deprecated",
"(",
"func",
")",
":",
"@",
"functools",
".",
"wraps",
"(",
"func",
")",
"def",
"wrapper",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"warnings",
".",
"warn",
"(",
"f\"{func.__name__} is deprecated. Use files() instead. \"",
"\... | https://github.com/Tautulli/Tautulli/blob/2410eb33805aaac4bd1c5dad0f71e4f15afaf742/lib/importlib_resources/_legacy.py#L15-L27 | |||
napalm-automation/napalm | ad1ff72000d0de59f25c8847694f51a4ad5aca86 | napalm/eos/utils/versions.py | python | EOSVersion._parse | (self, version) | Parse version string
:param version: str: version
:return: None | Parse version string
:param version: str: version
:return: None | [
"Parse",
"version",
"string",
":",
"param",
"version",
":",
"str",
":",
"version",
":",
"return",
":",
"None"
] | def _parse(self, version):
"""
Parse version string
:param version: str: version
:return: None
"""
m = re.match(r"^(?P<numbers>\d[\d.]+\d)", version)
if m:
self.numbers = m.group("numbers").split(".") | [
"def",
"_parse",
"(",
"self",
",",
"version",
")",
":",
"m",
"=",
"re",
".",
"match",
"(",
"r\"^(?P<numbers>\\d[\\d.]+\\d)\"",
",",
"version",
")",
"if",
"m",
":",
"self",
".",
"numbers",
"=",
"m",
".",
"group",
"(",
"\"numbers\"",
")",
".",
"split",
... | https://github.com/napalm-automation/napalm/blob/ad1ff72000d0de59f25c8847694f51a4ad5aca86/napalm/eos/utils/versions.py#L21-L30 | ||
Calysto/calysto_scheme | 15bf81987870bcae1264e5a0a06feb9a8ee12b8b | calysto_scheme/scheme.py | python | cddr_hat | (asexp) | return cdr_hat(cdr_hat(asexp)) | [] | def cddr_hat(asexp):
return cdr_hat(cdr_hat(asexp)) | [
"def",
"cddr_hat",
"(",
"asexp",
")",
":",
"return",
"cdr_hat",
"(",
"cdr_hat",
"(",
"asexp",
")",
")"
] | https://github.com/Calysto/calysto_scheme/blob/15bf81987870bcae1264e5a0a06feb9a8ee12b8b/calysto_scheme/scheme.py#L6258-L6259 | |||
nengo/keras-lmu | c871bb561c54f38e477fc4895f198ac157187c45 | keras_lmu/layers.py | python | LMU.call | (self, inputs, training=None) | return self.layer.call(inputs, training=training) | Apply this layer to inputs.
Notes
-----
This method should not be called manually; rather, use the implicit layer
callable behaviour (like ``my_layer(inputs)``), which will apply this method
with some additional bookkeeping. | Apply this layer to inputs. | [
"Apply",
"this",
"layer",
"to",
"inputs",
"."
] | def call(self, inputs, training=None):
"""
Apply this layer to inputs.
Notes
-----
This method should not be called manually; rather, use the implicit layer
callable behaviour (like ``my_layer(inputs)``), which will apply this method
with some additional bookkeep... | [
"def",
"call",
"(",
"self",
",",
"inputs",
",",
"training",
"=",
"None",
")",
":",
"return",
"self",
".",
"layer",
".",
"call",
"(",
"inputs",
",",
"training",
"=",
"training",
")"
] | https://github.com/nengo/keras-lmu/blob/c871bb561c54f38e477fc4895f198ac157187c45/keras_lmu/layers.py#L582-L593 | |
makerbot/ReplicatorG | d6f2b07785a5a5f1e172fb87cb4303b17c575d5d | skein_engines/skeinforge-50/skeinforge_application/skeinforge_plugins/craft_plugins/cleave.py | python | writeOutput | (fileName, shouldAnalyze=True) | Cleave a GNU Triangulated Surface file. | Cleave a GNU Triangulated Surface file. | [
"Cleave",
"a",
"GNU",
"Triangulated",
"Surface",
"file",
"."
] | def writeOutput(fileName, shouldAnalyze=True):
"Cleave a GNU Triangulated Surface file."
startTime = time.time()
print('File ' + archive.getSummarizedFileName(fileName) + ' is being cleaved.')
repository = CleaveRepository()
settings.getReadRepository(repository)
cleaveGcode = getCraftedText( fileName, '', reposi... | [
"def",
"writeOutput",
"(",
"fileName",
",",
"shouldAnalyze",
"=",
"True",
")",
":",
"startTime",
"=",
"time",
".",
"time",
"(",
")",
"print",
"(",
"'File '",
"+",
"archive",
".",
"getSummarizedFileName",
"(",
"fileName",
")",
"+",
"' is being cleaved.'",
")"... | https://github.com/makerbot/ReplicatorG/blob/d6f2b07785a5a5f1e172fb87cb4303b17c575d5d/skein_engines/skeinforge-50/skeinforge_application/skeinforge_plugins/craft_plugins/cleave.py#L121-L138 | ||
django-oscar/django-oscar | ffcc530844d40283b6b1552778a140536b904f5f | src/oscar/core/validators.py | python | URLDoesNotExistValidator.__call__ | (self, value) | Validate that the URL does not already exist.
The URL will be verified first and raises ``ValidationError`` when
it is invalid. A valid URL is checked for existence and raises
``ValidationError`` if the URL already exists.
This validation uses two calls to ExtendedURLValidator which ca... | Validate that the URL does not already exist. | [
"Validate",
"that",
"the",
"URL",
"does",
"not",
"already",
"exist",
"."
] | def __call__(self, value):
"""
Validate that the URL does not already exist.
The URL will be verified first and raises ``ValidationError`` when
it is invalid. A valid URL is checked for existence and raises
``ValidationError`` if the URL already exists.
This validation ... | [
"def",
"__call__",
"(",
"self",
",",
"value",
")",
":",
"try",
":",
"self",
".",
"validate_local_url",
"(",
"value",
")",
"except",
"ValidationError",
":",
"# Page exists - that is what we want",
"return",
"raise",
"ValidationError",
"(",
"_",
"(",
"'Specified pag... | https://github.com/django-oscar/django-oscar/blob/ffcc530844d40283b6b1552778a140536b904f5f/src/oscar/core/validators.py#L87-L106 | ||
junyanz/VON | 2bd39d0c11dd318a45ecda7b2125caa1c0dd93e8 | render_module/render_sketch.py | python | CroppingLayer.forward | (self, exp_sil, exp_depth) | return sil, depth | [] | def forward(self, exp_sil, exp_depth):
sil, depth, _, _ = self.crop_depth_sil(exp_sil, exp_depth)
return sil, depth | [
"def",
"forward",
"(",
"self",
",",
"exp_sil",
",",
"exp_depth",
")",
":",
"sil",
",",
"depth",
",",
"_",
",",
"_",
"=",
"self",
".",
"crop_depth_sil",
"(",
"exp_sil",
",",
"exp_depth",
")",
"return",
"sil",
",",
"depth"
] | https://github.com/junyanz/VON/blob/2bd39d0c11dd318a45ecda7b2125caa1c0dd93e8/render_module/render_sketch.py#L137-L140 | |||
gem/oq-engine | 1bdb88f3914e390abcbd285600bfd39477aae47c | openquake/server/db/actions.py | python | set_status | (db, job_id, status) | return cursor.rowcount | Set the status 'created', 'executing', 'complete', 'failed', 'aborted'
consistently with `is_running`.
:param db: a :class:`openquake.server.dbapi.Db` instance
:param job_id: ID of the current job
:param status: status string | Set the status 'created', 'executing', 'complete', 'failed', 'aborted'
consistently with `is_running`. | [
"Set",
"the",
"status",
"created",
"executing",
"complete",
"failed",
"aborted",
"consistently",
"with",
"is_running",
"."
] | def set_status(db, job_id, status):
"""
Set the status 'created', 'executing', 'complete', 'failed', 'aborted'
consistently with `is_running`.
:param db: a :class:`openquake.server.dbapi.Db` instance
:param job_id: ID of the current job
:param status: status string
"""
assert status in ... | [
"def",
"set_status",
"(",
"db",
",",
"job_id",
",",
"status",
")",
":",
"assert",
"status",
"in",
"(",
"'created'",
",",
"'submitted'",
",",
"'executing'",
",",
"'complete'",
",",
"'aborted'",
",",
"'failed'",
",",
"'deleted'",
")",
",",
"status",
"if",
... | https://github.com/gem/oq-engine/blob/1bdb88f3914e390abcbd285600bfd39477aae47c/openquake/server/db/actions.py#L64-L87 | |
pantsbuild/pants | 2e126e78ffc40cb108408316b90e8beebee1df9e | src/python/pants/util/contextutil.py | python | pushd | (directory: str) | A with-context that encapsulates pushd/popd. | A with-context that encapsulates pushd/popd. | [
"A",
"with",
"-",
"context",
"that",
"encapsulates",
"pushd",
"/",
"popd",
"."
] | def pushd(directory: str) -> Iterator[str]:
"""A with-context that encapsulates pushd/popd."""
cwd = os.getcwd()
os.chdir(directory)
try:
yield directory
finally:
os.chdir(cwd) | [
"def",
"pushd",
"(",
"directory",
":",
"str",
")",
"->",
"Iterator",
"[",
"str",
"]",
":",
"cwd",
"=",
"os",
".",
"getcwd",
"(",
")",
"os",
".",
"chdir",
"(",
"directory",
")",
"try",
":",
"yield",
"directory",
"finally",
":",
"os",
".",
"chdir",
... | https://github.com/pantsbuild/pants/blob/2e126e78ffc40cb108408316b90e8beebee1df9e/src/python/pants/util/contextutil.py#L208-L215 | ||
huggingface/transformers | 623b4f7c63f60cce917677ee704d6c93ee960b4b | src/transformers/utils/dummy_pt_objects.py | python | LongformerForMaskedLM.forward | (self, *args, **kwargs) | [] | def forward(self, *args, **kwargs):
requires_backends(self, ["torch"]) | [
"def",
"forward",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"requires_backends",
"(",
"self",
",",
"[",
"\"torch\"",
"]",
")"
] | https://github.com/huggingface/transformers/blob/623b4f7c63f60cce917677ee704d6c93ee960b4b/src/transformers/utils/dummy_pt_objects.py#L2960-L2961 | ||||
shiweibsw/Translation-Tools | 2fbbf902364e557fa7017f9a74a8797b7440c077 | venv/Lib/site-packages/xlwt/Worksheet.py | python | Worksheet.get_dialogue_sheet | (self) | return bool(self.__dialogue_sheet) | [] | def get_dialogue_sheet(self):
return bool(self.__dialogue_sheet) | [
"def",
"get_dialogue_sheet",
"(",
"self",
")",
":",
"return",
"bool",
"(",
"self",
".",
"__dialogue_sheet",
")"
] | https://github.com/shiweibsw/Translation-Tools/blob/2fbbf902364e557fa7017f9a74a8797b7440c077/venv/Lib/site-packages/xlwt/Worksheet.py#L509-L510 | |||
Blizzard/heroprotocol | 3d36eaf44fc4c8ff3331c2ae2f1dc08a94535f1c | heroprotocol/versions/protocol66182.py | python | decode_replay_attributes_events | (contents) | return attributes | Decodes and yields each attribute from the contents byte string. | Decodes and yields each attribute from the contents byte string. | [
"Decodes",
"and",
"yields",
"each",
"attribute",
"from",
"the",
"contents",
"byte",
"string",
"."
] | def decode_replay_attributes_events(contents):
"""Decodes and yields each attribute from the contents byte string."""
buffer = BitPackedBuffer(contents, 'little')
attributes = {}
if not buffer.done():
attributes['source'] = buffer.read_bits(8)
attributes['mapNamespace'] = buffer.read_bit... | [
"def",
"decode_replay_attributes_events",
"(",
"contents",
")",
":",
"buffer",
"=",
"BitPackedBuffer",
"(",
"contents",
",",
"'little'",
")",
"attributes",
"=",
"{",
"}",
"if",
"not",
"buffer",
".",
"done",
"(",
")",
":",
"attributes",
"[",
"'source'",
"]",
... | https://github.com/Blizzard/heroprotocol/blob/3d36eaf44fc4c8ff3331c2ae2f1dc08a94535f1c/heroprotocol/versions/protocol66182.py#L450-L470 | |
jgagneastro/coffeegrindsize | 22661ebd21831dba4cf32bfc6ba59fe3d49f879c | App/dist/coffeegrindsize.app/Contents/Resources/lib/python3.7/matplotlib/colorbar.py | python | ColorbarBase._extend_upper | (self) | return self.extend in ('both', 'max') | Returns whether the uper limit is open ended. | Returns whether the uper limit is open ended. | [
"Returns",
"whether",
"the",
"uper",
"limit",
"is",
"open",
"ended",
"."
] | def _extend_upper(self):
"""Returns whether the uper limit is open ended."""
return self.extend in ('both', 'max') | [
"def",
"_extend_upper",
"(",
"self",
")",
":",
"return",
"self",
".",
"extend",
"in",
"(",
"'both'",
",",
"'max'",
")"
] | https://github.com/jgagneastro/coffeegrindsize/blob/22661ebd21831dba4cf32bfc6ba59fe3d49f879c/App/dist/coffeegrindsize.app/Contents/Resources/lib/python3.7/matplotlib/colorbar.py#L419-L421 | |
DataBiosphere/toil | 2e148eee2114ece8dcc3ec8a83f36333266ece0d | src/toil/provisioners/abstractProvisioner.py | python | AbstractProvisioner.addVolumesService | (self, config: InstanceConfiguration) | Add a service to prepare and mount local scratch volumes. | Add a service to prepare and mount local scratch volumes. | [
"Add",
"a",
"service",
"to",
"prepare",
"and",
"mount",
"local",
"scratch",
"volumes",
"."
] | def addVolumesService(self, config: InstanceConfiguration):
"""
Add a service to prepare and mount local scratch volumes.
"""
config.addFile("/home/core/volumes.sh", contents=textwrap.dedent("""\
#!/bin/bash
set -x
ephemeral_count=0
drives=... | [
"def",
"addVolumesService",
"(",
"self",
",",
"config",
":",
"InstanceConfiguration",
")",
":",
"config",
".",
"addFile",
"(",
"\"/home/core/volumes.sh\"",
",",
"contents",
"=",
"textwrap",
".",
"dedent",
"(",
"\"\"\"\\\n #!/bin/bash\n set -x\n ... | https://github.com/DataBiosphere/toil/blob/2e148eee2114ece8dcc3ec8a83f36333266ece0d/src/toil/provisioners/abstractProvisioner.py#L586-L665 | ||
python/cpython | e13cdca0f5224ec4e23bdd04bb3120506964bc8b | Lib/_pydecimal.py | python | Context.divmod | (self, a, b) | Return (a // b, a % b).
>>> ExtendedContext.divmod(Decimal(8), Decimal(3))
(Decimal('2'), Decimal('2'))
>>> ExtendedContext.divmod(Decimal(8), Decimal(4))
(Decimal('2'), Decimal('0'))
>>> ExtendedContext.divmod(8, 4)
(Decimal('2'), Decimal('0'))
>>> ExtendedConte... | Return (a // b, a % b). | [
"Return",
"(",
"a",
"//",
"b",
"a",
"%",
"b",
")",
"."
] | def divmod(self, a, b):
"""Return (a // b, a % b).
>>> ExtendedContext.divmod(Decimal(8), Decimal(3))
(Decimal('2'), Decimal('2'))
>>> ExtendedContext.divmod(Decimal(8), Decimal(4))
(Decimal('2'), Decimal('0'))
>>> ExtendedContext.divmod(8, 4)
(Decimal('2'), Deci... | [
"def",
"divmod",
"(",
"self",
",",
"a",
",",
"b",
")",
":",
"a",
"=",
"_convert_other",
"(",
"a",
",",
"raiseit",
"=",
"True",
")",
"r",
"=",
"a",
".",
"__divmod__",
"(",
"b",
",",
"context",
"=",
"self",
")",
"if",
"r",
"is",
"NotImplemented",
... | https://github.com/python/cpython/blob/e13cdca0f5224ec4e23bdd04bb3120506964bc8b/Lib/_pydecimal.py#L4418-L4437 | ||
pyparallel/pyparallel | 11e8c6072d48c8f13641925d17b147bf36ee0ba3 | Lib/tarfile.py | python | TarFile._dbg | (self, level, msg) | Write debugging output to sys.stderr. | Write debugging output to sys.stderr. | [
"Write",
"debugging",
"output",
"to",
"sys",
".",
"stderr",
"."
] | def _dbg(self, level, msg):
"""Write debugging output to sys.stderr.
"""
if level <= self.debug:
print(msg, file=sys.stderr) | [
"def",
"_dbg",
"(",
"self",
",",
"level",
",",
"msg",
")",
":",
"if",
"level",
"<=",
"self",
".",
"debug",
":",
"print",
"(",
"msg",
",",
"file",
"=",
"sys",
".",
"stderr",
")"
] | https://github.com/pyparallel/pyparallel/blob/11e8c6072d48c8f13641925d17b147bf36ee0ba3/Lib/tarfile.py#L2377-L2381 | ||
pymedusa/Medusa | 1405fbb6eb8ef4d20fcca24c32ddca52b11f0f38 | ext/feedparser/api.py | python | parse | (url_file_stream_or_string, etag=None, modified=None, agent=None, referrer=None, handlers=None, request_headers=None, response_headers=None, resolve_relative_uris=None, sanitize_html=None) | return result | Parse a feed from a URL, file, stream, or string.
:param url_file_stream_or_string:
File-like object, URL, file path, or string. Both byte and text strings
are accepted. If necessary, encoding will be derived from the response
headers or automatically detected.
Note that strings ma... | Parse a feed from a URL, file, stream, or string. | [
"Parse",
"a",
"feed",
"from",
"a",
"URL",
"file",
"stream",
"or",
"string",
"."
] | def parse(url_file_stream_or_string, etag=None, modified=None, agent=None, referrer=None, handlers=None, request_headers=None, response_headers=None, resolve_relative_uris=None, sanitize_html=None):
"""Parse a feed from a URL, file, stream, or string.
:param url_file_stream_or_string:
File-like object,... | [
"def",
"parse",
"(",
"url_file_stream_or_string",
",",
"etag",
"=",
"None",
",",
"modified",
"=",
"None",
",",
"agent",
"=",
"None",
",",
"referrer",
"=",
"None",
",",
"handlers",
"=",
"None",
",",
"request_headers",
"=",
"None",
",",
"response_headers",
"... | https://github.com/pymedusa/Medusa/blob/1405fbb6eb8ef4d20fcca24c32ddca52b11f0f38/ext/feedparser/api.py#L151-L269 | |
openai/universe | cc9ce6ec241821bfb0f3b85dd455bd36e4ee7a8c | universe/vncdriver/vendor/pydes.py | python | _baseDes.setPadding | (self, pad) | setPadding() -> bytes of length 1. Padding character. | setPadding() -> bytes of length 1. Padding character. | [
"setPadding",
"()",
"-",
">",
"bytes",
"of",
"length",
"1",
".",
"Padding",
"character",
"."
] | def setPadding(self, pad):
"""setPadding() -> bytes of length 1. Padding character."""
if pad is not None:
pad = self._guardAgainstUnicode(pad)
self._padding = pad | [
"def",
"setPadding",
"(",
"self",
",",
"pad",
")",
":",
"if",
"pad",
"is",
"not",
"None",
":",
"pad",
"=",
"self",
".",
"_guardAgainstUnicode",
"(",
"pad",
")",
"self",
".",
"_padding",
"=",
"pad"
] | https://github.com/openai/universe/blob/cc9ce6ec241821bfb0f3b85dd455bd36e4ee7a8c/universe/vncdriver/vendor/pydes.py#L147-L151 | ||
marshmallow-code/marshmallow | 58c2045b8f272c2f1842458aa79f5c079a01429f | src/marshmallow/fields.py | python | Field.context | (self) | return self.parent.context | The context dictionary for the parent :class:`Schema`. | The context dictionary for the parent :class:`Schema`. | [
"The",
"context",
"dictionary",
"for",
"the",
"parent",
":",
"class",
":",
"Schema",
"."
] | def context(self):
"""The context dictionary for the parent :class:`Schema`."""
return self.parent.context | [
"def",
"context",
"(",
"self",
")",
":",
"return",
"self",
".",
"parent",
".",
"context"
] | https://github.com/marshmallow-code/marshmallow/blob/58c2045b8f272c2f1842458aa79f5c079a01429f/src/marshmallow/fields.py#L430-L432 | |
nortikin/sverchok | 7b460f01317c15f2681bfa3e337c5e7346f3711b | utils/geom.py | python | CircleEquation3D.get_projections | (self, vertices) | return self.radius * normalized + self.center | Calculate projections of vertices to the
circle. This method works with 3D circles only
(i.e., requires `normal` to be specified).
input: list of 3-tuples, or list of Vectors, or np.ndarray of shape (n,3).
returns: np.ndarray of shape (n,3). | Calculate projections of vertices to the
circle. This method works with 3D circles only
(i.e., requires `normal` to be specified). | [
"Calculate",
"projections",
"of",
"vertices",
"to",
"the",
"circle",
".",
"This",
"method",
"works",
"with",
"3D",
"circles",
"only",
"(",
"i",
".",
"e",
".",
"requires",
"normal",
"to",
"be",
"specified",
")",
"."
] | def get_projections(self, vertices):
"""
Calculate projections of vertices to the
circle. This method works with 3D circles only
(i.e., requires `normal` to be specified).
input: list of 3-tuples, or list of Vectors, or np.ndarray of shape (n,3).
returns: np.ndarray of s... | [
"def",
"get_projections",
"(",
"self",
",",
"vertices",
")",
":",
"vertices",
"=",
"np",
".",
"array",
"(",
"vertices",
")",
"plane",
"=",
"PlaneEquation",
".",
"from_normal_and_point",
"(",
"self",
".",
"normal",
",",
"self",
".",
"center",
")",
"projecte... | https://github.com/nortikin/sverchok/blob/7b460f01317c15f2681bfa3e337c5e7346f3711b/utils/geom.py#L2235-L2250 | |
KvasirSecurity/Kvasir | a5b3775184a8343240e1154a1f762f75df04dc0a | modules/xlsxwriter/format.py | python | Format.set_bold | (self, bold=1) | Set the Format bold property.
Args:
bold: Default is 1, turns property on.
Returns:
Nothing. | Set the Format bold property. | [
"Set",
"the",
"Format",
"bold",
"property",
"."
] | def set_bold(self, bold=1):
"""
Set the Format bold property.
Args:
bold: Default is 1, turns property on.
Returns:
Nothing.
"""
self.bold = bold | [
"def",
"set_bold",
"(",
"self",
",",
"bold",
"=",
"1",
")",
":",
"self",
".",
"bold",
"=",
"bold"
] | https://github.com/KvasirSecurity/Kvasir/blob/a5b3775184a8343240e1154a1f762f75df04dc0a/modules/xlsxwriter/format.py#L155-L166 | ||
HymanLiuTS/flaskTs | 286648286976e85d9b9a5873632331efcafe0b21 | flasky/lib/python2.7/site-packages/pip/download.py | python | is_archive_file | (name) | return False | Return True if `name` is a considered as an archive file. | Return True if `name` is a considered as an archive file. | [
"Return",
"True",
"if",
"name",
"is",
"a",
"considered",
"as",
"an",
"archive",
"file",
"."
] | def is_archive_file(name):
"""Return True if `name` is a considered as an archive file."""
ext = splitext(name)[1].lower()
if ext in ARCHIVE_EXTENSIONS:
return True
return False | [
"def",
"is_archive_file",
"(",
"name",
")",
":",
"ext",
"=",
"splitext",
"(",
"name",
")",
"[",
"1",
"]",
".",
"lower",
"(",
")",
"if",
"ext",
"in",
"ARCHIVE_EXTENSIONS",
":",
"return",
"True",
"return",
"False"
] | https://github.com/HymanLiuTS/flaskTs/blob/286648286976e85d9b9a5873632331efcafe0b21/flasky/lib/python2.7/site-packages/pip/download.py#L469-L474 | |
django-nonrel/django-nonrel | 4fbfe7344481a5eab8698f79207f09124310131b | django/db/backends/oracle/base.py | python | DatabaseOperations.combine_expression | (self, connector, sub_expressions) | return super(DatabaseOperations, self).combine_expression(connector, sub_expressions) | Oracle requires special cases for %% and & operators in query expressions | Oracle requires special cases for %% and & operators in query expressions | [
"Oracle",
"requires",
"special",
"cases",
"for",
"%%",
"and",
"&",
"operators",
"in",
"query",
"expressions"
] | def combine_expression(self, connector, sub_expressions):
"Oracle requires special cases for %% and & operators in query expressions"
if connector == '%%':
return 'MOD(%s)' % ','.join(sub_expressions)
elif connector == '&':
return 'BITAND(%s)' % ','.join(sub_expressions)
... | [
"def",
"combine_expression",
"(",
"self",
",",
"connector",
",",
"sub_expressions",
")",
":",
"if",
"connector",
"==",
"'%%'",
":",
"return",
"'MOD(%s)'",
"%",
"','",
".",
"join",
"(",
"sub_expressions",
")",
"elif",
"connector",
"==",
"'&'",
":",
"return",
... | https://github.com/django-nonrel/django-nonrel/blob/4fbfe7344481a5eab8698f79207f09124310131b/django/db/backends/oracle/base.py#L358-L366 | |
ronreiter/interactive-tutorials | d026d1ae58941863d60eb30a8a94a8650d2bd4bf | suds/xsd/sxbasic.py | python | Include.open | (self, options) | return result | Open and include the refrenced schema.
@param options: An options dictionary.
@type options: L{options.Options}
@return: The referenced schema.
@rtype: L{Schema} | Open and include the refrenced schema. | [
"Open",
"and",
"include",
"the",
"refrenced",
"schema",
"."
] | def open(self, options):
"""
Open and include the refrenced schema.
@param options: An options dictionary.
@type options: L{options.Options}
@return: The referenced schema.
@rtype: L{Schema}
"""
if self.opened:
return
self.opened = True... | [
"def",
"open",
"(",
"self",
",",
"options",
")",
":",
"if",
"self",
".",
"opened",
":",
"return",
"self",
".",
"opened",
"=",
"True",
"log",
".",
"debug",
"(",
"'%s, including location=\"%s\"'",
",",
"self",
".",
"id",
",",
"self",
".",
"location",
")"... | https://github.com/ronreiter/interactive-tutorials/blob/d026d1ae58941863d60eb30a8a94a8650d2bd4bf/suds/xsd/sxbasic.py#L593-L607 | |
larryhastings/gilectomy | 4315ec3f1d6d4f813cc82ce27a24e7f784dbfc1a | Lib/_pydecimal.py | python | Decimal.is_canonical | (self) | return True | Return True if self is canonical; otherwise return False.
Currently, the encoding of a Decimal instance is always
canonical, so this method returns True for any Decimal. | Return True if self is canonical; otherwise return False. | [
"Return",
"True",
"if",
"self",
"is",
"canonical",
";",
"otherwise",
"return",
"False",
"."
] | def is_canonical(self):
"""Return True if self is canonical; otherwise return False.
Currently, the encoding of a Decimal instance is always
canonical, so this method returns True for any Decimal.
"""
return True | [
"def",
"is_canonical",
"(",
"self",
")",
":",
"return",
"True"
] | https://github.com/larryhastings/gilectomy/blob/4315ec3f1d6d4f813cc82ce27a24e7f784dbfc1a/Lib/_pydecimal.py#L3149-L3155 | |
lululxvi/deepxde | 730c97282636e86c845ce2ba3253482f2178469e | deepxde/nn/tensorflow_compat_v1/nn.py | python | NN.apply_output_transform | (self, transform) | Apply a transform to the network outputs, i.e.,
outputs = transform(inputs, outputs). | Apply a transform to the network outputs, i.e.,
outputs = transform(inputs, outputs). | [
"Apply",
"a",
"transform",
"to",
"the",
"network",
"outputs",
"i",
".",
"e",
".",
"outputs",
"=",
"transform",
"(",
"inputs",
"outputs",
")",
"."
] | def apply_output_transform(self, transform):
"""Apply a transform to the network outputs, i.e.,
outputs = transform(inputs, outputs).
"""
self._output_transform = transform | [
"def",
"apply_output_transform",
"(",
"self",
",",
"transform",
")",
":",
"self",
".",
"_output_transform",
"=",
"transform"
] | https://github.com/lululxvi/deepxde/blob/730c97282636e86c845ce2ba3253482f2178469e/deepxde/nn/tensorflow_compat_v1/nn.py#L68-L72 | ||
devitocodes/devito | 6abd441e3f5f091775ad332be6b95e017b8cbd16 | devito/symbolics/search.py | python | Search.__init__ | (self, query, mode, deep=False) | Search objects in an expression. This is much quicker than the more
general SymPy's find.
Parameters
----------
query
Any query from :mod:`queries`.
mode : str
Either 'unique' or 'all' (catch all instances).
deep : bool, optional
If Tr... | Search objects in an expression. This is much quicker than the more
general SymPy's find. | [
"Search",
"objects",
"in",
"an",
"expression",
".",
"This",
"is",
"much",
"quicker",
"than",
"the",
"more",
"general",
"SymPy",
"s",
"find",
"."
] | def __init__(self, query, mode, deep=False):
"""
Search objects in an expression. This is much quicker than the more
general SymPy's find.
Parameters
----------
query
Any query from :mod:`queries`.
mode : str
Either 'unique' or 'all' (catc... | [
"def",
"__init__",
"(",
"self",
",",
"query",
",",
"mode",
",",
"deep",
"=",
"False",
")",
":",
"self",
".",
"query",
"=",
"query",
"self",
".",
"collection",
"=",
"self",
".",
"modes",
"[",
"mode",
"]",
"self",
".",
"deep",
"=",
"deep"
] | https://github.com/devitocodes/devito/blob/6abd441e3f5f091775ad332be6b95e017b8cbd16/devito/symbolics/search.py#L32-L48 | ||
holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/astropy-4.0-py3.7-macosx-10.9-x86_64.egg/astropy/timeseries/periodograms/bls/core.py | python | BoxLeastSquares._format_results | (self, objective, period, results) | return BoxLeastSquaresResults(
objective, period, power, depth, depth_err, duration, transit_time,
depth_snr, log_likelihood) | A private method used to wrap and add units to the periodogram
Parameters
----------
objective : str
The name of the objective used in the optimization.
period : array_like or `~astropy.units.Quantity`
The set of trial periods.
results : tuple
... | A private method used to wrap and add units to the periodogram | [
"A",
"private",
"method",
"used",
"to",
"wrap",
"and",
"add",
"units",
"to",
"the",
"periodogram"
] | def _format_results(self, objective, period, results):
"""A private method used to wrap and add units to the periodogram
Parameters
----------
objective : str
The name of the objective used in the optimization.
period : array_like or `~astropy.units.Quantity`
... | [
"def",
"_format_results",
"(",
"self",
",",
"objective",
",",
"period",
",",
"results",
")",
":",
"(",
"power",
",",
"depth",
",",
"depth_err",
",",
"duration",
",",
"transit_time",
",",
"depth_snr",
",",
"log_likelihood",
")",
"=",
"results",
"if",
"has_u... | https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/astropy-4.0-py3.7-macosx-10.9-x86_64.egg/astropy/timeseries/periodograms/bls/core.py#L701-L741 | |
PyWavelets/pywt | 9a72143be347481e2276371efb41ae0266b9c808 | pywt/_mra.py | python | imra | (mra_coeffs) | return reduce(lambda x, y: x + y, mra_coeffs) | Inverse 1D multiresolution analysis via summation.
Parameters
----------
mra_coeffs : list of ndarray
Multiresolution analysis coefficients as returned by `mra`.
Returns
-------
rec : ndarray
The reconstructed signal.
See Also
--------
mra
References
-----... | Inverse 1D multiresolution analysis via summation. | [
"Inverse",
"1D",
"multiresolution",
"analysis",
"via",
"summation",
"."
] | def imra(mra_coeffs):
"""Inverse 1D multiresolution analysis via summation.
Parameters
----------
mra_coeffs : list of ndarray
Multiresolution analysis coefficients as returned by `mra`.
Returns
-------
rec : ndarray
The reconstructed signal.
See Also
--------
... | [
"def",
"imra",
"(",
"mra_coeffs",
")",
":",
"return",
"reduce",
"(",
"lambda",
"x",
",",
"y",
":",
"x",
"+",
"y",
",",
"mra_coeffs",
")"
] | https://github.com/PyWavelets/pywt/blob/9a72143be347481e2276371efb41ae0266b9c808/pywt/_mra.py#L116-L140 | |
csuldw/AntSpider | d5fac11379c471079f13a1f159a3377a7eec27d6 | scrapy/douban/pipelines.py | python | CoverPipeline.process_item | (self, item, spider) | return dfd.addCallback(self.item_completed, item, info) | [] | def process_item(self, item, spider):
if 'meta' not in spider.name:
return item
info = self.spiderinfo
requests = arg_to_iter(self.get_media_requests(item, info))
dlist = [self._process_request(r, info) for r in requests]
dfd = DeferredList(dlist, consumeErrors=1)
... | [
"def",
"process_item",
"(",
"self",
",",
"item",
",",
"spider",
")",
":",
"if",
"'meta'",
"not",
"in",
"spider",
".",
"name",
":",
"return",
"item",
"info",
"=",
"self",
".",
"spiderinfo",
"requests",
"=",
"arg_to_iter",
"(",
"self",
".",
"get_media_requ... | https://github.com/csuldw/AntSpider/blob/d5fac11379c471079f13a1f159a3377a7eec27d6/scrapy/douban/pipelines.py#L214-L221 | |||
softlayer/softlayer-python | cdef7d63c66413197a9a97b0414de9f95887a82a | SoftLayer/managers/block.py | python | BlockStorageManager.create_or_update_lun_id | (self, volume_id, lun_id) | return self.client.call('Network_Storage', 'createOrUpdateLunId', lun_id, id=volume_id) | Set the LUN ID on a volume.
:param integer volume_id: The id of the volume
:param integer lun_id: LUN ID to set on the volume
:return: a SoftLayer_Network_Storage_Property object | Set the LUN ID on a volume. | [
"Set",
"the",
"LUN",
"ID",
"on",
"a",
"volume",
"."
] | def create_or_update_lun_id(self, volume_id, lun_id):
"""Set the LUN ID on a volume.
:param integer volume_id: The id of the volume
:param integer lun_id: LUN ID to set on the volume
:return: a SoftLayer_Network_Storage_Property object
"""
return self.client.call('Networ... | [
"def",
"create_or_update_lun_id",
"(",
"self",
",",
"volume_id",
",",
"lun_id",
")",
":",
"return",
"self",
".",
"client",
".",
"call",
"(",
"'Network_Storage'",
",",
"'createOrUpdateLunId'",
",",
"lun_id",
",",
"id",
"=",
"volume_id",
")"
] | https://github.com/softlayer/softlayer-python/blob/cdef7d63c66413197a9a97b0414de9f95887a82a/SoftLayer/managers/block.py#L184-L191 | |
rwth-i6/returnn | f2d718a197a280b0d5f0fd91a7fcb8658560dddb | returnn/tf/layers/basic.py | python | SeqLenMaskLayer.transform_config_dict | (cls, d, network, get_layer) | :param dict[str] d:
:param returnn.tf.network.TFNetwork network:
:param get_layer: | :param dict[str] d:
:param returnn.tf.network.TFNetwork network:
:param get_layer: | [
":",
"param",
"dict",
"[",
"str",
"]",
"d",
":",
":",
"param",
"returnn",
".",
"tf",
".",
"network",
".",
"TFNetwork",
"network",
":",
":",
"param",
"get_layer",
":"
] | def transform_config_dict(cls, d, network, get_layer):
"""
:param dict[str] d:
:param returnn.tf.network.TFNetwork network:
:param get_layer:
"""
super(SeqLenMaskLayer, cls).transform_config_dict(d, network=network, get_layer=get_layer)
if d.get("seq_len_source", None):
d["seq_len_sour... | [
"def",
"transform_config_dict",
"(",
"cls",
",",
"d",
",",
"network",
",",
"get_layer",
")",
":",
"super",
"(",
"SeqLenMaskLayer",
",",
"cls",
")",
".",
"transform_config_dict",
"(",
"d",
",",
"network",
"=",
"network",
",",
"get_layer",
"=",
"get_layer",
... | https://github.com/rwth-i6/returnn/blob/f2d718a197a280b0d5f0fd91a7fcb8658560dddb/returnn/tf/layers/basic.py#L2191-L2206 | ||
aaPanel/BaoTa | 9bb1336f31ae2893ab513af7a3efed633338c64b | class/pyotp/totp.py | python | TOTP.now | (self) | return self.generate_otp(self.timecode(datetime.datetime.now())) | Generate the current time OTP
:returns: OTP value
:rtype: str | Generate the current time OTP | [
"Generate",
"the",
"current",
"time",
"OTP"
] | def now(self):
"""
Generate the current time OTP
:returns: OTP value
:rtype: str
"""
return self.generate_otp(self.timecode(datetime.datetime.now())) | [
"def",
"now",
"(",
"self",
")",
":",
"return",
"self",
".",
"generate_otp",
"(",
"self",
".",
"timecode",
"(",
"datetime",
".",
"datetime",
".",
"now",
"(",
")",
")",
")"
] | https://github.com/aaPanel/BaoTa/blob/9bb1336f31ae2893ab513af7a3efed633338c64b/class/pyotp/totp.py#L37-L44 | |
p2pool/p2pool | 53c438bbada06b9d4a9a465bc13f7694a7a322b7 | SOAPpy/Types.py | python | compoundType._aslist | (self, item=None) | [] | def _aslist(self, item=None):
if item is not None:
return self.__dict__[self._keyord[item]]
else:
return map( lambda x: self.__dict__[x], self._keyord) | [
"def",
"_aslist",
"(",
"self",
",",
"item",
"=",
"None",
")",
":",
"if",
"item",
"is",
"not",
"None",
":",
"return",
"self",
".",
"__dict__",
"[",
"self",
".",
"_keyord",
"[",
"item",
"]",
"]",
"else",
":",
"return",
"map",
"(",
"lambda",
"x",
":... | https://github.com/p2pool/p2pool/blob/53c438bbada06b9d4a9a465bc13f7694a7a322b7/SOAPpy/Types.py#L1260-L1264 | ||||
rlgraph/rlgraph | 428fc136a9a075f29a397495b4226a491a287be2 | rlgraph/graphs/__init__.py | python | backend_executor | () | Returns default class for backend.
Returns: Executioner for the specified backend. | Returns default class for backend.
Returns: Executioner for the specified backend. | [
"Returns",
"default",
"class",
"for",
"backend",
".",
"Returns",
":",
"Executioner",
"for",
"the",
"specified",
"backend",
"."
] | def backend_executor():
"""
Returns default class for backend.
Returns: Executioner for the specified backend.
"""
if get_backend() == "tf":
return TensorFlowExecutor
elif get_backend() == "pytorch":
return PyTorchExecutor | [
"def",
"backend_executor",
"(",
")",
":",
"if",
"get_backend",
"(",
")",
"==",
"\"tf\"",
":",
"return",
"TensorFlowExecutor",
"elif",
"get_backend",
"(",
")",
"==",
"\"pytorch\"",
":",
"return",
"PyTorchExecutor"
] | https://github.com/rlgraph/rlgraph/blob/428fc136a9a075f29a397495b4226a491a287be2/rlgraph/graphs/__init__.py#L29-L37 | ||
ankitects/anki | 4360fd16fb20b647ca2597d38129024d952f996e | qt/aqt/browser/table/model.py | python | DataModel.get_cached_row | (self, index: QModelIndex) | return self._rows.get(self.get_item(index)) | Get row if it is cached, regardless of staleness. | Get row if it is cached, regardless of staleness. | [
"Get",
"row",
"if",
"it",
"is",
"cached",
"regardless",
"of",
"staleness",
"."
] | def get_cached_row(self, index: QModelIndex) -> CellRow | None:
"""Get row if it is cached, regardless of staleness."""
return self._rows.get(self.get_item(index)) | [
"def",
"get_cached_row",
"(",
"self",
",",
"index",
":",
"QModelIndex",
")",
"->",
"CellRow",
"|",
"None",
":",
"return",
"self",
".",
"_rows",
".",
"get",
"(",
"self",
".",
"get_item",
"(",
"index",
")",
")"
] | https://github.com/ankitects/anki/blob/4360fd16fb20b647ca2597d38129024d952f996e/qt/aqt/browser/table/model.py#L121-L123 | |
catap/namebench | 9913a7a1a7955a3759eb18cbe73b421441a7a00f | nb_third_party/dns/resolver.py | python | Cache.flush | (self, key=None) | Flush the cache.
If I{key} is specified, only that item is flushed. Otherwise
the entire cache is flushed.
@param key: the key to flush
@type key: (dns.name.Name, int, int) tuple or None | Flush the cache. | [
"Flush",
"the",
"cache",
"."
] | def flush(self, key=None):
"""Flush the cache.
If I{key} is specified, only that item is flushed. Otherwise
the entire cache is flushed.
@param key: the key to flush
@type key: (dns.name.Name, int, int) tuple or None
"""
if not key is None:
if self... | [
"def",
"flush",
"(",
"self",
",",
"key",
"=",
"None",
")",
":",
"if",
"not",
"key",
"is",
"None",
":",
"if",
"self",
".",
"data",
".",
"has_key",
"(",
"key",
")",
":",
"del",
"self",
".",
"data",
"[",
"key",
"]",
"else",
":",
"self",
".",
"da... | https://github.com/catap/namebench/blob/9913a7a1a7955a3759eb18cbe73b421441a7a00f/nb_third_party/dns/resolver.py#L226-L241 | ||
andresriancho/w3af | cd22e5252243a87aaa6d0ddea47cf58dacfe00a9 | w3af/plugins/attack/db/sqlmap/plugins/dbms/informix/enumeration.py | python | Enumeration.__init__ | (self) | [] | def __init__(self):
GenericEnumeration.__init__(self) | [
"def",
"__init__",
"(",
"self",
")",
":",
"GenericEnumeration",
".",
"__init__",
"(",
"self",
")"
] | https://github.com/andresriancho/w3af/blob/cd22e5252243a87aaa6d0ddea47cf58dacfe00a9/w3af/plugins/attack/db/sqlmap/plugins/dbms/informix/enumeration.py#L12-L13 | ||||
collinsctk/PyQYT | 7af3673955f94ff1b2df2f94220cd2dab2e252af | ExtentionPackages/tornado/concurrent.py | python | Future.running | (self) | return not self._done | Returns True if this operation is currently running. | Returns True if this operation is currently running. | [
"Returns",
"True",
"if",
"this",
"operation",
"is",
"currently",
"running",
"."
] | def running(self):
"""Returns True if this operation is currently running."""
return not self._done | [
"def",
"running",
"(",
"self",
")",
":",
"return",
"not",
"self",
".",
"_done"
] | https://github.com/collinsctk/PyQYT/blob/7af3673955f94ff1b2df2f94220cd2dab2e252af/ExtentionPackages/tornado/concurrent.py#L206-L208 | |
google/coursebuilder-core | 08f809db3226d9269e30d5edd0edd33bd22041f4 | coursebuilder/controllers/sites.py | python | ApplicationRequestHandler._dispatch | (self, handler, verb, path) | Dispatch the verb, path to a given handler. | Dispatch the verb, path to a given handler. | [
"Dispatch",
"the",
"verb",
"path",
"to",
"a",
"given",
"handler",
"."
] | def _dispatch(self, handler, verb, path):
"""Dispatch the verb, path to a given handler."""
# these need to be empty, or dispatch() will attempt to use them; we
# don't want them to be set or used because routing phase if over by now
self.request.route_args = []
self.request.rout... | [
"def",
"_dispatch",
"(",
"self",
",",
"handler",
",",
"verb",
",",
"path",
")",
":",
"# these need to be empty, or dispatch() will attempt to use them; we",
"# don't want them to be set or used because routing phase if over by now",
"self",
".",
"request",
".",
"route_args",
"=... | https://github.com/google/coursebuilder-core/blob/08f809db3226d9269e30d5edd0edd33bd22041f4/coursebuilder/controllers/sites.py#L1546-L1569 | ||
ambujraj/hacktoberfest2018 | 53df2cac8b3404261131a873352ec4f2ffa3544d | MAC_changer/venv/lib/python3.7/site-packages/pip-10.0.1-py3.7.egg/pip/_vendor/pyparsing.py | python | delimitedList | ( expr, delim=",", combine=False ) | Helper to define a delimited list of expressions - the delimiter defaults to ','.
By default, the list elements and delimiters can have intervening whitespace, and
comments, but this can be overridden by passing C{combine=True} in the constructor.
If C{combine} is set to C{True}, the matching tokens are ret... | Helper to define a delimited list of expressions - the delimiter defaults to ','.
By default, the list elements and delimiters can have intervening whitespace, and
comments, but this can be overridden by passing C{combine=True} in the constructor.
If C{combine} is set to C{True}, the matching tokens are ret... | [
"Helper",
"to",
"define",
"a",
"delimited",
"list",
"of",
"expressions",
"-",
"the",
"delimiter",
"defaults",
"to",
".",
"By",
"default",
"the",
"list",
"elements",
"and",
"delimiters",
"can",
"have",
"intervening",
"whitespace",
"and",
"comments",
"but",
"thi... | def delimitedList( expr, delim=",", combine=False ):
"""
Helper to define a delimited list of expressions - the delimiter defaults to ','.
By default, the list elements and delimiters can have intervening whitespace, and
comments, but this can be overridden by passing C{combine=True} in the constructor.... | [
"def",
"delimitedList",
"(",
"expr",
",",
"delim",
"=",
"\",\"",
",",
"combine",
"=",
"False",
")",
":",
"dlName",
"=",
"_ustr",
"(",
"expr",
")",
"+",
"\" [\"",
"+",
"_ustr",
"(",
"delim",
")",
"+",
"\" \"",
"+",
"_ustr",
"(",
"expr",
")",
"+",
... | https://github.com/ambujraj/hacktoberfest2018/blob/53df2cac8b3404261131a873352ec4f2ffa3544d/MAC_changer/venv/lib/python3.7/site-packages/pip-10.0.1-py3.7.egg/pip/_vendor/pyparsing.py#L4428-L4445 | ||
TencentCloud/tencentcloud-sdk-python | 3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2 | tencentcloud/ump/v20200918/models.py | python | CreateProgramStateResponse.__init__ | (self) | r"""
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str | r"""
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str | [
"r",
":",
"param",
"RequestId",
":",
"唯一请求",
"ID，每次请求都会返回。定位问题时需要提供该次请求的",
"RequestId。",
":",
"type",
"RequestId",
":",
"str"
] | def __init__(self):
r"""
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str
"""
self.RequestId = None | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"RequestId",
"=",
"None"
] | https://github.com/TencentCloud/tencentcloud-sdk-python/blob/3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2/tencentcloud/ump/v20200918/models.py#L713-L718 | ||
carpedm20/SPIRAL-tensorflow | 2cca458f5d0d856c7bb73e877eea24906eda522f | agent.py | python | Agent.prepare_local_network | (self) | [] | def prepare_local_network(self):
self.local_network = models.Policy(
self.args, self.env, "local",
self.input_shape, self.action_sizes,
data_format='channels_last')
##########################
# Trajectory queue
##########################
... | [
"def",
"prepare_local_network",
"(",
"self",
")",
":",
"self",
".",
"local_network",
"=",
"models",
".",
"Policy",
"(",
"self",
".",
"args",
",",
"self",
".",
"env",
",",
"\"local\"",
",",
"self",
".",
"input_shape",
",",
"self",
".",
"action_sizes",
","... | https://github.com/carpedm20/SPIRAL-tensorflow/blob/2cca458f5d0d856c7bb73e877eea24906eda522f/agent.py#L242-L290 | ||||
pillone/usntssearch | 24b5e5bc4b6af2589d95121c4d523dc58cb34273 | NZBmegasearch/beautifulsoup.py | python | Tag._convertEntities | (self, match) | Used in a call to re.sub to replace HTML, XML, and numeric
entities with the appropriate Unicode characters. If HTML
entities are being converted, any unrecognized entities are
escaped. | Used in a call to re.sub to replace HTML, XML, and numeric
entities with the appropriate Unicode characters. If HTML
entities are being converted, any unrecognized entities are
escaped. | [
"Used",
"in",
"a",
"call",
"to",
"re",
".",
"sub",
"to",
"replace",
"HTML",
"XML",
"and",
"numeric",
"entities",
"with",
"the",
"appropriate",
"Unicode",
"characters",
".",
"If",
"HTML",
"entities",
"are",
"being",
"converted",
"any",
"unrecognized",
"entiti... | def _convertEntities(self, match):
"""Used in a call to re.sub to replace HTML, XML, and numeric
entities with the appropriate Unicode characters. If HTML
entities are being converted, any unrecognized entities are
escaped."""
x = match.group(1)
if self.convertHTMLEntitie... | [
"def",
"_convertEntities",
"(",
"self",
",",
"match",
")",
":",
"x",
"=",
"match",
".",
"group",
"(",
"1",
")",
"if",
"self",
".",
"convertHTMLEntities",
"and",
"x",
"in",
"name2codepoint",
":",
"return",
"unichr",
"(",
"name2codepoint",
"[",
"x",
"]",
... | https://github.com/pillone/usntssearch/blob/24b5e5bc4b6af2589d95121c4d523dc58cb34273/NZBmegasearch/beautifulsoup.py#L510-L533 | ||
securesystemslab/zippy | ff0e84ac99442c2c55fe1d285332cfd4e185e089 | zippy/lib-python/3/platform.py | python | _syscmd_file | (target,default='') | Interface to the system's file command.
The function uses the -b option of the file command to have it
omit the filename in its output. Follow the symlinks. It returns
default in case the command should fail. | Interface to the system's file command. | [
"Interface",
"to",
"the",
"system",
"s",
"file",
"command",
"."
] | def _syscmd_file(target,default=''):
""" Interface to the system's file command.
The function uses the -b option of the file command to have it
omit the filename in its output. Follow the symlinks. It returns
default in case the command should fail.
"""
if sys.platform in ('dos','... | [
"def",
"_syscmd_file",
"(",
"target",
",",
"default",
"=",
"''",
")",
":",
"if",
"sys",
".",
"platform",
"in",
"(",
"'dos'",
",",
"'win32'",
",",
"'win16'",
",",
"'os2'",
")",
":",
"# XXX Others too ?",
"return",
"default",
"target",
"=",
"_follow_symlinks... | https://github.com/securesystemslab/zippy/blob/ff0e84ac99442c2c55fe1d285332cfd4e185e089/zippy/lib-python/3/platform.py#L986-L1008 | ||
ronreiter/interactive-tutorials | d026d1ae58941863d60eb30a8a94a8650d2bd4bf | suds/sax/element.py | python | PrefixNormalizer.skip | (self, ns) | return ns in (None, Namespace.default, Namespace.xsdns, Namespace.xsins, Namespace.xmlns) | Get whether the I{ns} is to B{not} be normalized.
@param ns: A namespace.
@type ns: (p,u)
@return: True if to be skipped.
@rtype: boolean | Get whether the I{ns} is to B{not} be normalized. | [
"Get",
"whether",
"the",
"I",
"{",
"ns",
"}",
"is",
"to",
"B",
"{",
"not",
"}",
"be",
"normalized",
"."
] | def skip(self, ns):
"""
Get whether the I{ns} is to B{not} be normalized.
@param ns: A namespace.
@type ns: (p,u)
@return: True if to be skipped.
@rtype: boolean
"""
return ns in (None, Namespace.default, Namespace.xsdns, Namespace.xsins, Namespace.xmlns) | [
"def",
"skip",
"(",
"self",
",",
"ns",
")",
":",
"return",
"ns",
"in",
"(",
"None",
",",
"Namespace",
".",
"default",
",",
"Namespace",
".",
"xsdns",
",",
"Namespace",
".",
"xsins",
",",
"Namespace",
".",
"xmlns",
")"
] | https://github.com/ronreiter/interactive-tutorials/blob/d026d1ae58941863d60eb30a8a94a8650d2bd4bf/suds/sax/element.py#L1138-L1146 | |
nathanlopez/Stitch | 8e22e91c94237959c02d521aab58dc7e3d994cea | Application/stitch_help.py | python | st_help_sudo | () | [] | def st_help_sudo():
st_print("[*] Runs the preceding command with admin priveleges.")
usage_sudo() | [
"def",
"st_help_sudo",
"(",
")",
":",
"st_print",
"(",
"\"[*] Runs the preceding command with admin priveleges.\"",
")",
"usage_sudo",
"(",
")"
] | https://github.com/nathanlopez/Stitch/blob/8e22e91c94237959c02d521aab58dc7e3d994cea/Application/stitch_help.py#L382-L384 | ||||
rgerum/pylustrator | b01825bc3de75ac127291647729fa7b0e6f8b821 | pylustrator/change_tracker.py | python | setFigureVariableNames | (figure: Figure) | get the global variable names that refer to the given figure | get the global variable names that refer to the given figure | [
"get",
"the",
"global",
"variable",
"names",
"that",
"refer",
"to",
"the",
"given",
"figure"
] | def setFigureVariableNames(figure: Figure):
""" get the global variable names that refer to the given figure """
import inspect
mpl_figure = _pylab_helpers.Gcf.figs[figure].canvas.figure
calling_globals = inspect.stack()[2][0].f_globals
fig_names = [
name
for name, val in calling_glo... | [
"def",
"setFigureVariableNames",
"(",
"figure",
":",
"Figure",
")",
":",
"import",
"inspect",
"mpl_figure",
"=",
"_pylab_helpers",
".",
"Gcf",
".",
"figs",
"[",
"figure",
"]",
".",
"canvas",
".",
"figure",
"calling_globals",
"=",
"inspect",
".",
"stack",
"("... | https://github.com/rgerum/pylustrator/blob/b01825bc3de75ac127291647729fa7b0e6f8b821/pylustrator/change_tracker.py#L152-L165 | ||
Zulko/moviepy | 8eaf3f02c5cf812e89f03e925cb2fa5e05b8d29a | setup.py | python | PyTest.initialize_options | (self) | Initialize the PyTest options. | Initialize the PyTest options. | [
"Initialize",
"the",
"PyTest",
"options",
"."
] | def initialize_options(self):
"""Initialize the PyTest options."""
TestCommand.initialize_options(self)
self.pytest_args = "" | [
"def",
"initialize_options",
"(",
"self",
")",
":",
"TestCommand",
".",
"initialize_options",
"(",
"self",
")",
"self",
".",
"pytest_args",
"=",
"\"\""
] | https://github.com/Zulko/moviepy/blob/8eaf3f02c5cf812e89f03e925cb2fa5e05b8d29a/setup.py#L31-L34 | ||
openshift/openshift-tools | 1188778e728a6e4781acf728123e5b356380fe6f | openshift/installer/vendored/openshift-ansible-3.11.28-1/roles/lib_vendored_deps/library/oc_serviceaccount.py | python | OCServiceAccount.run_ansible | (params, check_mode) | return {'failed': True,
'changed': False,
'msg': 'Unknown state passed. %s' % state,
'state': 'unknown'} | run the oc_serviceaccount module | run the oc_serviceaccount module | [
"run",
"the",
"oc_serviceaccount",
"module"
] | def run_ansible(params, check_mode):
'''run the oc_serviceaccount module'''
rconfig = ServiceAccountConfig(params['name'],
params['namespace'],
params['kubeconfig'],
params['secrets'],
... | [
"def",
"run_ansible",
"(",
"params",
",",
"check_mode",
")",
":",
"rconfig",
"=",
"ServiceAccountConfig",
"(",
"params",
"[",
"'name'",
"]",
",",
"params",
"[",
"'namespace'",
"]",
",",
"params",
"[",
"'kubeconfig'",
"]",
",",
"params",
"[",
"'secrets'",
"... | https://github.com/openshift/openshift-tools/blob/1188778e728a6e4781acf728123e5b356380fe6f/openshift/installer/vendored/openshift-ansible-3.11.28-1/roles/lib_vendored_deps/library/oc_serviceaccount.py#L1671-L1755 | |
whiteclover/white | 633c5f0c7e9e9518f495b0afddf06786d4e229c4 | white/lib/memoize.py | python | LRUCacheDict.__contains__ | (self, key) | return self.__values.has_key(key) | This method should almost NEVER be used. The reason is that between the time
has_key is called, and the key is accessed, the key might vanish.
You should ALWAYS use a try: ... except KeyError: ... block. | This method should almost NEVER be used. The reason is that between the time
has_key is called, and the key is accessed, the key might vanish.
You should ALWAYS use a try: ... except KeyError: ... block. | [
"This",
"method",
"should",
"almost",
"NEVER",
"be",
"used",
".",
"The",
"reason",
"is",
"that",
"between",
"the",
"time",
"has_key",
"is",
"called",
"and",
"the",
"key",
"is",
"accessed",
"the",
"key",
"might",
"vanish",
".",
"You",
"should",
"ALWAYS",
... | def __contains__(self, key):
"""
This method should almost NEVER be used. The reason is that between the time
has_key is called, and the key is accessed, the key might vanish.
You should ALWAYS use a try: ... except KeyError: ... block.
"""
return self.__values.has_key(ke... | [
"def",
"__contains__",
"(",
"self",
",",
"key",
")",
":",
"return",
"self",
".",
"__values",
".",
"has_key",
"(",
"key",
")"
] | https://github.com/whiteclover/white/blob/633c5f0c7e9e9518f495b0afddf06786d4e229c4/white/lib/memoize.py#L215-L221 | |
caiiiac/Machine-Learning-with-Python | 1a26c4467da41ca4ebc3d5bd789ea942ef79422f | MachineLearning/venv/lib/python3.5/site-packages/pandas/core/indexes/multi.py | python | MultiIndex.is_monotonic_decreasing | (self) | return False | return if the index is monotonic decreasing (only equal or
decreasing) values. | return if the index is monotonic decreasing (only equal or
decreasing) values. | [
"return",
"if",
"the",
"index",
"is",
"monotonic",
"decreasing",
"(",
"only",
"equal",
"or",
"decreasing",
")",
"values",
"."
] | def is_monotonic_decreasing(self):
"""
return if the index is monotonic decreasing (only equal or
decreasing) values.
"""
return False | [
"def",
"is_monotonic_decreasing",
"(",
"self",
")",
":",
"return",
"False"
] | https://github.com/caiiiac/Machine-Learning-with-Python/blob/1a26c4467da41ca4ebc3d5bd789ea942ef79422f/MachineLearning/venv/lib/python3.5/site-packages/pandas/core/indexes/multi.py#L697-L702 | |
ni/nidaqmx-python | 62fc6b48cbbb330fe1bcc9aedadc86610a1269b6 | nidaqmx/_task_modules/channels/ai_channel.py | python | AIChannel.ai_sound_pressure_units | (self) | return SoundPressureUnits(val.value) | :class:`nidaqmx.constants.SoundPressureUnits`: Specifies the
units to use to return sound pressure measurements from the
channel. | :class:`nidaqmx.constants.SoundPressureUnits`: Specifies the
units to use to return sound pressure measurements from the
channel. | [
":",
"class",
":",
"nidaqmx",
".",
"constants",
".",
"SoundPressureUnits",
":",
"Specifies",
"the",
"units",
"to",
"use",
"to",
"return",
"sound",
"pressure",
"measurements",
"from",
"the",
"channel",
"."
] | def ai_sound_pressure_units(self):
"""
:class:`nidaqmx.constants.SoundPressureUnits`: Specifies the
units to use to return sound pressure measurements from the
channel.
"""
val = ctypes.c_int()
cfunc = lib_importer.windll.DAQmxGetAISoundPressureUnits
... | [
"def",
"ai_sound_pressure_units",
"(",
"self",
")",
":",
"val",
"=",
"ctypes",
".",
"c_int",
"(",
")",
"cfunc",
"=",
"lib_importer",
".",
"windll",
".",
"DAQmxGetAISoundPressureUnits",
"if",
"cfunc",
".",
"argtypes",
"is",
"None",
":",
"with",
"cfunc",
".",
... | https://github.com/ni/nidaqmx-python/blob/62fc6b48cbbb330fe1bcc9aedadc86610a1269b6/nidaqmx/_task_modules/channels/ai_channel.py#L6848-L6868 | |
AwesomeTTS/awesometts-anki-addon | c7c2c94479b610b9767ec44cdbb825002bc0c2b7 | awesometts/service/base.py | python | Service.util_merge | (self, input_files, output_file) | Given several input files, dumbly merge together into a single
output file. | Given several input files, dumbly merge together into a single
output file. | [
"Given",
"several",
"input",
"files",
"dumbly",
"merge",
"together",
"into",
"a",
"single",
"output",
"file",
"."
] | def util_merge(self, input_files, output_file):
"""
Given several input files, dumbly merge together into a single
output file.
"""
self._logger.debug("Merging %s into %s", input_files, output_file)
with open(output_file, 'wb') as output_stream:
for input_fil... | [
"def",
"util_merge",
"(",
"self",
",",
"input_files",
",",
"output_file",
")",
":",
"self",
".",
"_logger",
".",
"debug",
"(",
"\"Merging %s into %s\"",
",",
"input_files",
",",
"output_file",
")",
"with",
"open",
"(",
"output_file",
",",
"'wb'",
")",
"as",
... | https://github.com/AwesomeTTS/awesometts-anki-addon/blob/c7c2c94479b610b9767ec44cdbb825002bc0c2b7/awesometts/service/base.py#L790-L800 | ||
MeanEYE/Sunflower | 1024bbdde3b8e202ddad3553b321a7b6230bffc9 | sunflower/plugins/gvim_viewer/plugin.py | python | GVimViewer.__socket_realized | (self, widget, data=None) | Connect process when socket is realized | Connect process when socket is realized | [
"Connect",
"process",
"when",
"socket",
"is",
"realized"
] | def __socket_realized(self, widget, data=None):
"""Connect process when socket is realized"""
socket_id = self._socket.get_id()
# generate command string
command = (
'gvim',
'--socketid', str(socket_id),
'-R', self._parent.path
)
# create new process
self._process = subprocess.Popen(command... | [
"def",
"__socket_realized",
"(",
"self",
",",
"widget",
",",
"data",
"=",
"None",
")",
":",
"socket_id",
"=",
"self",
".",
"_socket",
".",
"get_id",
"(",
")",
"# generate command string",
"command",
"=",
"(",
"'gvim'",
",",
"'--socketid'",
",",
"str",
"(",... | https://github.com/MeanEYE/Sunflower/blob/1024bbdde3b8e202ddad3553b321a7b6230bffc9/sunflower/plugins/gvim_viewer/plugin.py#L36-L48 | ||
pdpipe/pdpipe | 69502436d2a4ce70c6123d7a9db02cbf10f56cf2 | pdpipe/skintegrate.py | python | PdPipelineAndSklearnEstimator.fit | (self, X, y) | return self | A reference implementation of a fitting function.
Parameters
----------
X : pandas.DataFrame, shape (n_samples, n_features)
The training input samples.
y : array-like, shape (n_samples,) or (n_samples, n_outputs)
The target values (class labels in classification,... | A reference implementation of a fitting function. | [
"A",
"reference",
"implementation",
"of",
"a",
"fitting",
"function",
"."
] | def fit(self, X, y):
"""A reference implementation of a fitting function.
Parameters
----------
X : pandas.DataFrame, shape (n_samples, n_features)
The training input samples.
y : array-like, shape (n_samples,) or (n_samples, n_outputs)
The target values ... | [
"def",
"fit",
"(",
"self",
",",
"X",
",",
"y",
")",
":",
"# X, y = check_X_y(X, y, accept_sparse=True)",
"post_X",
"=",
"self",
".",
"pipeline",
".",
"fit_transform",
"(",
"X",
"=",
"X",
",",
"y",
"=",
"y",
")",
"self",
".",
"estimator",
".",
"fit",
"(... | https://github.com/pdpipe/pdpipe/blob/69502436d2a4ce70c6123d7a9db02cbf10f56cf2/pdpipe/skintegrate.py#L183-L203 | |
smokeleeteveryday/CTF_WRITEUPS | 4683f0d41c92c4ed407cc3dd3b1760c68a05943f | 2015/POLICTF/reversing/johnthepacker/solution/john_keygen.py | python | key_gen | () | return key | [] | def key_gen():
magic_table_0 = "\x15\x00\x00\x00\x00\x80\x00\x00\x15\x00\x00\x00\x00\x00\x08\x00\x15\x00\x00\x00\x00\x00\x80\x00\x15\x00\x00\x00\x00\x80\x00\x00\x15\x00\x00\x00\x00\x00\x40\x00\x15\x00\x00\x00\x00\x80\x00\x00\x15\x00\x00\x00\x00\x00\x00\x00\x15\x00\x00\x00\x00\x00\x40\x00\x15\x00\x00\x00\x00\x00\x08\x0... | [
"def",
"key_gen",
"(",
")",
":",
"magic_table_0",
"=",
"\"\\x15\\x00\\x00\\x00\\x00\\x80\\x00\\x00\\x15\\x00\\x00\\x00\\x00\\x00\\x08\\x00\\x15\\x00\\x00\\x00\\x00\\x00\\x80\\x00\\x15\\x00\\x00\\x00\\x00\\x80\\x00\\x00\\x15\\x00\\x00\\x00\\x00\\x00\\x40\\x00\\x15\\x00\\x00\\x00\\x00\\x80\\x00\\x00\\x1... | https://github.com/smokeleeteveryday/CTF_WRITEUPS/blob/4683f0d41c92c4ed407cc3dd3b1760c68a05943f/2015/POLICTF/reversing/johnthepacker/solution/john_keygen.py#L28-L55 | |||
galaxyproject/galaxy | 4c03520f05062e0f4a1b3655dc0b7452fda69943 | lib/galaxy/managers/sharable.py | python | SharableModelManager.get_sharing_extra_information | (
self, trans, item, users: Set[User], errors: Set[str], option: Optional[SharingOptions] = None
) | return None | Returns optional extra information about the shareability of the given item.
This function should be overridden in the particular manager class that wants
to provide the extra information, otherwise, it will be None by default. | Returns optional extra information about the shareability of the given item. | [
"Returns",
"optional",
"extra",
"information",
"about",
"the",
"shareability",
"of",
"the",
"given",
"item",
"."
] | def get_sharing_extra_information(
self, trans, item, users: Set[User], errors: Set[str], option: Optional[SharingOptions] = None
) -> Optional[ShareWithExtra]:
"""Returns optional extra information about the shareability of the given item.
This function should be overridden in the particul... | [
"def",
"get_sharing_extra_information",
"(",
"self",
",",
"trans",
",",
"item",
",",
"users",
":",
"Set",
"[",
"User",
"]",
",",
"errors",
":",
"Set",
"[",
"str",
"]",
",",
"option",
":",
"Optional",
"[",
"SharingOptions",
"]",
"=",
"None",
")",
"->",
... | https://github.com/galaxyproject/galaxy/blob/4c03520f05062e0f4a1b3655dc0b7452fda69943/lib/galaxy/managers/sharable.py#L238-L245 | |
tendenci/tendenci | 0f2c348cc0e7d41bc56f50b00ce05544b083bf1d | tendenci/apps/forms_builder/forms/forms.py | python | FormForForm.clean_pricing_option | (self) | return pricing_option | [] | def clean_pricing_option(self):
pricing_pk = int(self.cleaned_data['pricing_option'])
[pricing_option] = self.form.pricing_set.filter(pk=pricing_pk)[:1] or [None]
custom_price = self.data.get('custom_price_%s' % pricing_pk)
# if not price set
if not pricing_option or pricing_opt... | [
"def",
"clean_pricing_option",
"(",
"self",
")",
":",
"pricing_pk",
"=",
"int",
"(",
"self",
".",
"cleaned_data",
"[",
"'pricing_option'",
"]",
")",
"[",
"pricing_option",
"]",
"=",
"self",
".",
"form",
".",
"pricing_set",
".",
"filter",
"(",
"pk",
"=",
... | https://github.com/tendenci/tendenci/blob/0f2c348cc0e7d41bc56f50b00ce05544b083bf1d/tendenci/apps/forms_builder/forms/forms.py#L197-L215 | |||
TencentCloud/tencentcloud-sdk-python | 3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2 | tencentcloud/lighthouse/v20200324/models.py | python | DescribeCcnAttachedInstancesResponse.__init__ | (self) | r"""
:param CcnAttachedInstanceSet: 云联网关联的实例列表。
注意：此字段可能返回 null，表示取不到有效值。
:type CcnAttachedInstanceSet: list of CcnAttachedInstance
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str | r"""
:param CcnAttachedInstanceSet: 云联网关联的实例列表。
注意：此字段可能返回 null，表示取不到有效值。
:type CcnAttachedInstanceSet: list of CcnAttachedInstance
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str | [
"r",
":",
"param",
"CcnAttachedInstanceSet",
":",
"云联网关联的实例列表。",
"注意：此字段可能返回",
"null，表示取不到有效值。",
":",
"type",
"CcnAttachedInstanceSet",
":",
"list",
"of",
"CcnAttachedInstance",
":",
"param",
"RequestId",
":",
"唯一请求",
"ID，每次请求都会返回。定位问题时需要提供该次请求的",
"RequestId。",
":",
"ty... | def __init__(self):
r"""
:param CcnAttachedInstanceSet: 云联网关联的实例列表。
注意：此字段可能返回 null，表示取不到有效值。
:type CcnAttachedInstanceSet: list of CcnAttachedInstance
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str
"""
self.CcnAttachedInstanceSe... | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"CcnAttachedInstanceSet",
"=",
"None",
"self",
".",
"RequestId",
"=",
"None"
] | https://github.com/TencentCloud/tencentcloud-sdk-python/blob/3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2/tencentcloud/lighthouse/v20200324/models.py#L1276-L1285 | ||
slinderman/pyhawkes | 0df433a40c5e6d8c1dcdb98ffc88fe3a403ac223 | pyhawkes/internals/parents.py | python | DiscreteTimeParents._mf_update_Z | (self) | Update the mean field parameters for the latent parents
:return: | Update the mean field parameters for the latent parents
:return: | [
"Update",
"the",
"mean",
"field",
"parameters",
"for",
"the",
"latent",
"parents",
":",
"return",
":"
] | def _mf_update_Z(self):
"""
Update the mean field parameters for the latent parents
:return:
"""
bias_model, weight_model, impulse_model = \
self.model.bias_model, self.model.weight_model, self.model.impulse_model
K, B = self.K, self.B
exp_E_log_lambd... | [
"def",
"_mf_update_Z",
"(",
"self",
")",
":",
"bias_model",
",",
"weight_model",
",",
"impulse_model",
"=",
"self",
".",
"model",
".",
"bias_model",
",",
"self",
".",
"model",
".",
"weight_model",
",",
"self",
".",
"model",
".",
"impulse_model",
"K",
",",
... | https://github.com/slinderman/pyhawkes/blob/0df433a40c5e6d8c1dcdb98ffc88fe3a403ac223/pyhawkes/internals/parents.py#L382-L402 | ||
cobbler/cobbler | eed8cdca3e970c8aa1d199e80b8c8f19b3f940cc | cobbler/cobbler_collections/images.py | python | Images.factory_produce | (self, api, item_dict) | return new_image | Return a Distro forged from item_dict | Return a Distro forged from item_dict | [
"Return",
"a",
"Distro",
"forged",
"from",
"item_dict"
] | def factory_produce(self, api, item_dict):
"""
Return a Distro forged from item_dict
"""
new_image = image.Image(api)
new_image.from_dict(item_dict)
return new_image | [
"def",
"factory_produce",
"(",
"self",
",",
"api",
",",
"item_dict",
")",
":",
"new_image",
"=",
"image",
".",
"Image",
"(",
"api",
")",
"new_image",
".",
"from_dict",
"(",
"item_dict",
")",
"return",
"new_image"
] | https://github.com/cobbler/cobbler/blob/eed8cdca3e970c8aa1d199e80b8c8f19b3f940cc/cobbler/cobbler_collections/images.py#L34-L40 | |
ricequant/rqalpha-mod-ctp | bfd40801f9a182226a911cac74660f62993eb6db | rqalpha_mod_ctp/ctp/pyctp/linux64_35/__init__.py | python | TraderApi.ReqQryTrade | (self, pQryTrade, nRequestID) | return 0 | 请求查询成交 | 请求查询成交 | [
"请求查询成交"
] | def ReqQryTrade(self, pQryTrade, nRequestID):
"""请求查询成交"""
return 0 | [
"def",
"ReqQryTrade",
"(",
"self",
",",
"pQryTrade",
",",
"nRequestID",
")",
":",
"return",
"0"
] | https://github.com/ricequant/rqalpha-mod-ctp/blob/bfd40801f9a182226a911cac74660f62993eb6db/rqalpha_mod_ctp/ctp/pyctp/linux64_35/__init__.py#L313-L315 | |
huawei-noah/vega | d9f13deede7f2b584e4b1d32ffdb833856129989 | vega/networks/tensorflow/gcn/layers.py | python | get_a_cell | (hidden_size, keep_prob) | return drop | Get helper function to construct a gru cell.
:param hidden_size: int, dimension of the gru cell
:param keep_prob: placeholder, drop out probability
:return: tensor: rnn cell tensor | Get helper function to construct a gru cell. | [
"Get",
"helper",
"function",
"to",
"construct",
"a",
"gru",
"cell",
"."
] | def get_a_cell(hidden_size, keep_prob):
"""Get helper function to construct a gru cell.
:param hidden_size: int, dimension of the gru cell
:param keep_prob: placeholder, drop out probability
:return: tensor: rnn cell tensor
"""
cell = tf.contrib.rnn.GRUCell(hidden_size)
drop = tf.nn.rnn_cel... | [
"def",
"get_a_cell",
"(",
"hidden_size",
",",
"keep_prob",
")",
":",
"cell",
"=",
"tf",
".",
"contrib",
".",
"rnn",
".",
"GRUCell",
"(",
"hidden_size",
")",
"drop",
"=",
"tf",
".",
"nn",
".",
"rnn_cell",
".",
"DropoutWrapper",
"(",
"cell",
",",
"output... | https://github.com/huawei-noah/vega/blob/d9f13deede7f2b584e4b1d32ffdb833856129989/vega/networks/tensorflow/gcn/layers.py#L220-L229 | |
mozilla/kitsune | 7c7cf9baed57aa776547aea744243ccad6ca91fb | kitsune/messages/context_processors.py | python | unread_message_count | (request) | return {"unread_message_count": count} | Adds the unread private messages count to the context.
* Returns 0 for anonymous users.
* Returns 0 if waffle flag is off. | Adds the unread private messages count to the context. | [
"Adds",
"the",
"unread",
"private",
"messages",
"count",
"to",
"the",
"context",
"."
] | def unread_message_count(request):
"""Adds the unread private messages count to the context.
* Returns 0 for anonymous users.
* Returns 0 if waffle flag is off.
"""
count = 0
if hasattr(request, "user") and request.user.is_authenticated:
count = unread_count_for(request.user)
return... | [
"def",
"unread_message_count",
"(",
"request",
")",
":",
"count",
"=",
"0",
"if",
"hasattr",
"(",
"request",
",",
"\"user\"",
")",
"and",
"request",
".",
"user",
".",
"is_authenticated",
":",
"count",
"=",
"unread_count_for",
"(",
"request",
".",
"user",
"... | https://github.com/mozilla/kitsune/blob/7c7cf9baed57aa776547aea744243ccad6ca91fb/kitsune/messages/context_processors.py#L4-L13 | |
pytransitions/transitions | 9663094f4566c016b11563e7a7d6d3802593845c | transitions/extensions/nesting.py | python | HierarchicalMachine.__init__ | (self, *args, **kwargs) | [] | def __init__(self, *args, **kwargs):
assert issubclass(self.state_cls, NestedState)
assert issubclass(self.event_cls, NestedEvent)
assert issubclass(self.transition_cls, NestedTransition)
self._stack = []
self.prefix_path = []
self.scoped = self
_super(Hierarchica... | [
"def",
"__init__",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"assert",
"issubclass",
"(",
"self",
".",
"state_cls",
",",
"NestedState",
")",
"assert",
"issubclass",
"(",
"self",
".",
"event_cls",
",",
"NestedEvent",
")",
"assert",... | https://github.com/pytransitions/transitions/blob/9663094f4566c016b11563e7a7d6d3802593845c/transitions/extensions/nesting.py#L386-L393 | ||||
sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/rings/asymptotic/asymptotic_ring.py | python | AsymptoticRingFunctor.__eq__ | (self, other) | return (type(self) == type(other)
and self.growth_group == other.growth_group
and self._default_prec_ == other._default_prec_
and self._category_ == other._category_
and self.cls == other.cls) | r"""
Return whether this functor is equal to ``other``.
INPUT:
- ``other`` -- a functor.
OUTPUT:
A boolean.
EXAMPLES::
sage: X = AsymptoticRing(growth_group='x^ZZ', coefficient_ring=QQ)
sage: Y = AsymptoticRing(growth_group='y^ZZ', coefficien... | r"""
Return whether this functor is equal to ``other``. | [
"r",
"Return",
"whether",
"this",
"functor",
"is",
"equal",
"to",
"other",
"."
] | def __eq__(self, other):
r"""
Return whether this functor is equal to ``other``.
INPUT:
- ``other`` -- a functor.
OUTPUT:
A boolean.
EXAMPLES::
sage: X = AsymptoticRing(growth_group='x^ZZ', coefficient_ring=QQ)
sage: Y = AsymptoticRin... | [
"def",
"__eq__",
"(",
"self",
",",
"other",
")",
":",
"return",
"(",
"type",
"(",
"self",
")",
"==",
"type",
"(",
"other",
")",
"and",
"self",
".",
"growth_group",
"==",
"other",
".",
"growth_group",
"and",
"self",
".",
"_default_prec_",
"==",
"other",... | https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/rings/asymptotic/asymptotic_ring.py#L4974-L5001 | |
makerbot/ReplicatorG | d6f2b07785a5a5f1e172fb87cb4303b17c575d5d | skein_engines/skeinforge-50/skeinforge_application/skeinforge_plugins/craft_plugins/export_plugins/gcode_time_segment.py | python | GcodeTimeSegmentSkein.__init__ | (self) | Initialize. | Initialize. | [
"Initialize",
"."
] | def __init__(self):
'Initialize.'
self.feedRateMinute = None
self.isExtruderActive = False
self.oldFeedRateString = None
self.oldLocation = None
self.oldZString = None
self.operatingFlowRate = None
self.output = cStringIO.StringIO() | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"feedRateMinute",
"=",
"None",
"self",
".",
"isExtruderActive",
"=",
"False",
"self",
".",
"oldFeedRateString",
"=",
"None",
"self",
".",
"oldLocation",
"=",
"None",
"self",
".",
"oldZString",
"=",
"No... | https://github.com/makerbot/ReplicatorG/blob/d6f2b07785a5a5f1e172fb87cb4303b17c575d5d/skein_engines/skeinforge-50/skeinforge_application/skeinforge_plugins/craft_plugins/export_plugins/gcode_time_segment.py#L155-L163 | ||
open-io/oio-sds | 16041950b6056a55d5ce7ca77795defe6dfa6c61 | oio/common/redis_conn.py | python | RedisConnection.release_lock | (self, lockname, identifier) | return False | Release a previously acquired Lock | Release a previously acquired Lock | [
"Release",
"a",
"previously",
"acquired",
"Lock"
] | def release_lock(self, lockname, identifier):
"""Release a previously acquired Lock"""
conn = self.conn
pipe = conn.pipeline(True)
lockname = 'lock:' + lockname
while True:
try:
pipe.watch(lockname)
cur_id = pipe.get(lockname)
... | [
"def",
"release_lock",
"(",
"self",
",",
"lockname",
",",
"identifier",
")",
":",
"conn",
"=",
"self",
".",
"conn",
"pipe",
"=",
"conn",
".",
"pipeline",
"(",
"True",
")",
"lockname",
"=",
"'lock:'",
"+",
"lockname",
"while",
"True",
":",
"try",
":",
... | https://github.com/open-io/oio-sds/blob/16041950b6056a55d5ce7ca77795defe6dfa6c61/oio/common/redis_conn.py#L193-L215 | |
phimpme/phimpme-generator | ba6d11190b9016238f27672e1ad55e6a875b74a0 | Phimpme/site-packages/nose/case.py | python | Test.run | (self, result) | Modified run for the test wrapper.
From here we don't call result.startTest or stopTest or
addSuccess. The wrapper calls addError/addFailure only if its
own setup or teardown fails, or running the wrapped test fails
(eg, if the wrapped "test" is not callable).
Two additional m... | Modified run for the test wrapper. | [
"Modified",
"run",
"for",
"the",
"test",
"wrapper",
"."
] | def run(self, result):
"""Modified run for the test wrapper.
From here we don't call result.startTest or stopTest or
addSuccess. The wrapper calls addError/addFailure only if its
own setup or teardown fails, or running the wrapped test fails
(eg, if the wrapped "test" is not ca... | [
"def",
"run",
"(",
"self",
",",
"result",
")",
":",
"if",
"self",
".",
"resultProxy",
":",
"result",
"=",
"self",
".",
"resultProxy",
"(",
"result",
",",
"self",
")",
"try",
":",
"try",
":",
"self",
".",
"beforeTest",
"(",
"result",
")",
"self",
".... | https://github.com/phimpme/phimpme-generator/blob/ba6d11190b9016238f27672e1ad55e6a875b74a0/Phimpme/site-packages/nose/case.py#L115-L140 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.