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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LinOTP/LinOTP | bb3940bbaccea99550e6c063ff824f258dd6d6d7 | linotp/lib/reply.py | python | sendResult | (response, obj, id=1, opt=None, status=True) | return Response(response=data, status=200, mimetype="application/json") | sendResult - return an json result document
:param response: the pylons response object
:type response: response object
:param obj: simple result object like dict, sting or list
:type obj: dict or list or string/unicode
:param id: id value, for future versions
:type id: ... | sendResult - return an json result document | [
"sendResult",
"-",
"return",
"an",
"json",
"result",
"document"
] | def sendResult(response, obj, id=1, opt=None, status=True):
"""
sendResult - return an json result document
:param response: the pylons response object
:type response: response object
:param obj: simple result object like dict, sting or list
:type obj: dict or list or string/unicode... | [
"def",
"sendResult",
"(",
"response",
",",
"obj",
",",
"id",
"=",
"1",
",",
"opt",
"=",
"None",
",",
"status",
"=",
"True",
")",
":",
"res",
"=",
"{",
"\"jsonrpc\"",
":",
"get_api_version",
"(",
")",
",",
"\"result\"",
":",
"{",
"\"status\"",
":",
... | https://github.com/LinOTP/LinOTP/blob/bb3940bbaccea99550e6c063ff824f258dd6d6d7/linotp/lib/reply.py#L286-L319 | |
QCoDeS/Qcodes | 3cda2cef44812e2aa4672781f2423bf5f816f9f9 | qcodes/instrument_drivers/Keysight/keysightb1500/KeysightB1517A.py | python | B1517A.setup_staircase_sweep | (
self,
v_start: float,
v_end: float,
n_steps: int,
post_sweep_voltage_val: Union[constants.WMDCV.Post,
int] = constants.WMDCV.Post.STOP,
av_coef: int = -1,
enable_filter: bool = True,
... | Setup the staircase sweep measurement using the same set of commands
(in the same order) as given in the programming manual - see pages
3-19 and 3-20.
Args:
v_start: starting voltage of staircase sweep
v_end: ending voltage of staircase sweep
n_steps: number ... | Setup the staircase sweep measurement using the same set of commands
(in the same order) as given in the programming manual - see pages
3-19 and 3-20. | [
"Setup",
"the",
"staircase",
"sweep",
"measurement",
"using",
"the",
"same",
"set",
"of",
"commands",
"(",
"in",
"the",
"same",
"order",
")",
"as",
"given",
"in",
"the",
"programming",
"manual",
"-",
"see",
"pages",
"3",
"-",
"19",
"and",
"3",
"-",
"20... | def setup_staircase_sweep(
self,
v_start: float,
v_end: float,
n_steps: int,
post_sweep_voltage_val: Union[constants.WMDCV.Post,
int] = constants.WMDCV.Post.STOP,
av_coef: int = -1,
enable_filte... | [
"def",
"setup_staircase_sweep",
"(",
"self",
",",
"v_start",
":",
"float",
",",
"v_end",
":",
"float",
",",
"n_steps",
":",
"int",
",",
"post_sweep_voltage_val",
":",
"Union",
"[",
"constants",
".",
"WMDCV",
".",
"Post",
",",
"int",
"]",
"=",
"constants",
... | https://github.com/QCoDeS/Qcodes/blob/3cda2cef44812e2aa4672781f2423bf5f816f9f9/qcodes/instrument_drivers/Keysight/keysightb1500/KeysightB1517A.py#L1082-L1160 | ||
golismero/golismero | 7d605b937e241f51c1ca4f47b20f755eeefb9d76 | thirdparty_libs/nltk/metrics/confusionmatrix.py | python | ConfusionMatrix.__getitem__ | (self, (li,lj)) | return self._confusion[i][j] | :return: The number of times that value ``li`` was expected and
value ``lj`` was given.
:rtype: int | :return: The number of times that value ``li`` was expected and
value ``lj`` was given.
:rtype: int | [
":",
"return",
":",
"The",
"number",
"of",
"times",
"that",
"value",
"li",
"was",
"expected",
"and",
"value",
"lj",
"was",
"given",
".",
":",
"rtype",
":",
"int"
] | def __getitem__(self, (li,lj)):
"""
:return: The number of times that value ``li`` was expected and
value ``lj`` was given.
:rtype: int
"""
i = self._indices[li]
j = self._indices[lj]
return self._confusion[i][j] | [
"def",
"__getitem__",
"(",
"self",
",",
"(",
"li",
",",
"lj",
")",
")",
":",
"i",
"=",
"self",
".",
"_indices",
"[",
"li",
"]",
"j",
"=",
"self",
".",
"_indices",
"[",
"lj",
"]",
"return",
"self",
".",
"_confusion",
"[",
"i",
"]",
"[",
"j",
"... | https://github.com/golismero/golismero/blob/7d605b937e241f51c1ca4f47b20f755eeefb9d76/thirdparty_libs/nltk/metrics/confusionmatrix.py#L77-L85 | |
ChineseGLUE/ChineseGLUE | 1591b85cf5427c2ff60f718d359ecb71d2b44879 | baselines/models/xlnet/xlnet.py | python | XLNetModel.get_initializer | (self) | return self.initializer | Returns:
A tf initializer. Used to initialize variables in layers on top of XLNet. | Returns:
A tf initializer. Used to initialize variables in layers on top of XLNet. | [
"Returns",
":",
"A",
"tf",
"initializer",
".",
"Used",
"to",
"initialize",
"variables",
"in",
"layers",
"on",
"top",
"of",
"XLNet",
"."
] | def get_initializer(self):
"""
Returns:
A tf initializer. Used to initialize variables in layers on top of XLNet.
"""
return self.initializer | [
"def",
"get_initializer",
"(",
"self",
")",
":",
"return",
"self",
".",
"initializer"
] | https://github.com/ChineseGLUE/ChineseGLUE/blob/1591b85cf5427c2ff60f718d359ecb71d2b44879/baselines/models/xlnet/xlnet.py#L286-L291 | |
PixarAnimationStudios/OpenTimelineIO | 990a54ccbe6488180a93753370fc87902b982962 | contrib/opentimelineio_contrib/adapters/xges.py | python | XGESOtio._serialize_track_effect_to_effect_clip | (
self, otio_effect, layer, layer_priority, start, duration,
track_types, clip_id) | Convert the effect 'otio_effect' found on an otio.schema.Track
into a GESEffectClip xges <clip> under the xges 'layer' with the
given 'layer_priority'. 'start', 'duration', 'clip_id' and
'track-types' will be used for the corresponding attributes of the
<clip>. | Convert the effect 'otio_effect' found on an otio.schema.Track
into a GESEffectClip xges <clip> under the xges 'layer' with the
given 'layer_priority'. 'start', 'duration', 'clip_id' and
'track-types' will be used for the corresponding attributes of the
<clip>. | [
"Convert",
"the",
"effect",
"otio_effect",
"found",
"on",
"an",
"otio",
".",
"schema",
".",
"Track",
"into",
"a",
"GESEffectClip",
"xges",
"<clip",
">",
"under",
"the",
"xges",
"layer",
"with",
"the",
"given",
"layer_priority",
".",
"start",
"duration",
"cli... | def _serialize_track_effect_to_effect_clip(
self, otio_effect, layer, layer_priority, start, duration,
track_types, clip_id):
"""
Convert the effect 'otio_effect' found on an otio.schema.Track
into a GESEffectClip xges <clip> under the xges 'layer' with the
given ... | [
"def",
"_serialize_track_effect_to_effect_clip",
"(",
"self",
",",
"otio_effect",
",",
"layer",
",",
"layer_priority",
",",
"start",
",",
"duration",
",",
"track_types",
",",
"clip_id",
")",
":",
"if",
"isinstance",
"(",
"otio_effect",
",",
"otio",
".",
"schema"... | https://github.com/PixarAnimationStudios/OpenTimelineIO/blob/990a54ccbe6488180a93753370fc87902b982962/contrib/opentimelineio_contrib/adapters/xges.py#L1432-L1459 | ||
scikit-image/scikit-image | ed642e2bc822f362504d24379dee94978d6fa9de | skimage/io/_plugins/matplotlib_plugin.py | python | _raise_warnings | (image_properties) | Raise the appropriate warning for each nonstandard image type.
Parameters
----------
image_properties : ImageProperties named tuple
The properties of the considered image. | Raise the appropriate warning for each nonstandard image type. | [
"Raise",
"the",
"appropriate",
"warning",
"for",
"each",
"nonstandard",
"image",
"type",
"."
] | def _raise_warnings(image_properties):
"""Raise the appropriate warning for each nonstandard image type.
Parameters
----------
image_properties : ImageProperties named tuple
The properties of the considered image.
"""
ip = image_properties
if ip.unsupported_dtype:
warn("Non-... | [
"def",
"_raise_warnings",
"(",
"image_properties",
")",
":",
"ip",
"=",
"image_properties",
"if",
"ip",
".",
"unsupported_dtype",
":",
"warn",
"(",
"\"Non-standard image type; displaying image with \"",
"\"stretched contrast.\"",
",",
"stacklevel",
"=",
"3",
")",
"if",
... | https://github.com/scikit-image/scikit-image/blob/ed642e2bc822f362504d24379dee94978d6fa9de/skimage/io/_plugins/matplotlib_plugin.py#L62-L79 | ||
AppScale/gts | 46f909cf5dc5ba81faf9d81dc9af598dcf8a82a9 | AppServer/lib/django-1.2/django/utils/datastructures.py | python | MergeDict.copy | (self) | return self.__copy__() | Returns a copy of this object. | Returns a copy of this object. | [
"Returns",
"a",
"copy",
"of",
"this",
"object",
"."
] | def copy(self):
"""Returns a copy of this object."""
return self.__copy__() | [
"def",
"copy",
"(",
"self",
")",
":",
"return",
"self",
".",
"__copy__",
"(",
")"
] | https://github.com/AppScale/gts/blob/46f909cf5dc5ba81faf9d81dc9af598dcf8a82a9/AppServer/lib/django-1.2/django/utils/datastructures.py#L76-L78 | |
iiau-tracker/SPLT | a196e603798e9be969d9d985c087c11cad1cda43 | lib/object_detection/utils/static_shape.py | python | get_width | (tensor_shape) | return tensor_shape[2].value | Returns width from the tensor shape.
Args:
tensor_shape: A rank 4 TensorShape.
Returns:
An integer representing the width of the tensor. | Returns width from the tensor shape. | [
"Returns",
"width",
"from",
"the",
"tensor",
"shape",
"."
] | def get_width(tensor_shape):
"""Returns width from the tensor shape.
Args:
tensor_shape: A rank 4 TensorShape.
Returns:
An integer representing the width of the tensor.
"""
tensor_shape.assert_has_rank(rank=4)
return tensor_shape[2].value | [
"def",
"get_width",
"(",
"tensor_shape",
")",
":",
"tensor_shape",
".",
"assert_has_rank",
"(",
"rank",
"=",
"4",
")",
"return",
"tensor_shape",
"[",
"2",
"]",
".",
"value"
] | https://github.com/iiau-tracker/SPLT/blob/a196e603798e9be969d9d985c087c11cad1cda43/lib/object_detection/utils/static_shape.py#L48-L58 | |
ines/wasabi | 4cb261ce92c435f922dcc47e625d23cf038a699a | wasabi/util.py | python | get_raw_input | (description, default=False, indent=4) | return user_input | Get user input from the command line via raw_input / input.
description (unicode): Text to display before prompt.
default (unicode or False/None): Default value to display with prompt.
indent (int): Indentation in spaces.
RETURNS (unicode): User input. | Get user input from the command line via raw_input / input. | [
"Get",
"user",
"input",
"from",
"the",
"command",
"line",
"via",
"raw_input",
"/",
"input",
"."
] | def get_raw_input(description, default=False, indent=4):
"""Get user input from the command line via raw_input / input.
description (unicode): Text to display before prompt.
default (unicode or False/None): Default value to display with prompt.
indent (int): Indentation in spaces.
RETURNS (unicode)... | [
"def",
"get_raw_input",
"(",
"description",
",",
"default",
"=",
"False",
",",
"indent",
"=",
"4",
")",
":",
"additional",
"=",
"\" (default: {})\"",
".",
"format",
"(",
"default",
")",
"if",
"default",
"else",
"\"\"",
"prompt",
"=",
"wrap",
"(",
"\"{}{}: ... | https://github.com/ines/wasabi/blob/4cb261ce92c435f922dcc47e625d23cf038a699a/wasabi/util.py#L157-L168 | |
phaethon/kamene | bf679a65d456411942ee4a907818ba3d6a183bfe | kamene/contrib/gsm_um.py | python | pagingRequestType1 | (MobileId_presence=0) | return packet | PAGING REQUEST TYPE 1 Section 9.1.22 | PAGING REQUEST TYPE 1 Section 9.1.22 | [
"PAGING",
"REQUEST",
"TYPE",
"1",
"Section",
"9",
".",
"1",
".",
"22"
] | def pagingRequestType1(MobileId_presence=0):
"""PAGING REQUEST TYPE 1 Section 9.1.22"""
#The L2 pseudo length of this message is the sum of lengths of all
#information elements present in the message except
#the P1 Rest Octets and L2 Pseudo Length information elements.
a = L2PseudoLength()
b = TpPd(pd=0x... | [
"def",
"pagingRequestType1",
"(",
"MobileId_presence",
"=",
"0",
")",
":",
"#The L2 pseudo length of this message is the sum of lengths of all",
"#information elements present in the message except",
"#the P1 Rest Octets and L2 Pseudo Length information elements.",
"a",
"=",
"L2PseudoLengt... | https://github.com/phaethon/kamene/blob/bf679a65d456411942ee4a907818ba3d6a183bfe/kamene/contrib/gsm_um.py#L846-L862 | |
seanbell/opensurfaces | 7f3e987560faa62cd37f821760683ccd1e053c7c | server/common/utils.py | python | dict_union | (a, b) | return ret | Return the union of two dictionaries without editing either.
If a key exists in both dictionaries, the second value is used. | Return the union of two dictionaries without editing either.
If a key exists in both dictionaries, the second value is used. | [
"Return",
"the",
"union",
"of",
"two",
"dictionaries",
"without",
"editing",
"either",
".",
"If",
"a",
"key",
"exists",
"in",
"both",
"dictionaries",
"the",
"second",
"value",
"is",
"used",
"."
] | def dict_union(a, b):
"""
Return the union of two dictionaries without editing either.
If a key exists in both dictionaries, the second value is used.
"""
if not a:
return b if b else {}
if not b:
return a
ret = a.copy()
ret.update(b)
return ret | [
"def",
"dict_union",
"(",
"a",
",",
"b",
")",
":",
"if",
"not",
"a",
":",
"return",
"b",
"if",
"b",
"else",
"{",
"}",
"if",
"not",
"b",
":",
"return",
"a",
"ret",
"=",
"a",
".",
"copy",
"(",
")",
"ret",
".",
"update",
"(",
"b",
")",
"return... | https://github.com/seanbell/opensurfaces/blob/7f3e987560faa62cd37f821760683ccd1e053c7c/server/common/utils.py#L636-L647 | |
dropbox/PyHive | b21c507a24ed2f2b0cf15b0b6abb1c43f31d3ee0 | TCLIService/ttypes.py | python | TStringColumn.read | (self, iprot) | [] | def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
... | [
"def",
"read",
"(",
"self",
",",
"iprot",
")",
":",
"if",
"iprot",
".",
"_fast_decode",
"is",
"not",
"None",
"and",
"isinstance",
"(",
"iprot",
".",
"trans",
",",
"TTransport",
".",
"CReadableTransport",
")",
"and",
"self",
".",
"thrift_spec",
"is",
"not... | https://github.com/dropbox/PyHive/blob/b21c507a24ed2f2b0cf15b0b6abb1c43f31d3ee0/TCLIService/ttypes.py#L2507-L2534 | ||||
gabrieleangeletti/Deep-Learning-TensorFlow | ddeb1f2848da7b7bee166ad2152b4afc46bb2086 | yadlt/models/autoencoders/denoising_autoencoder.py | python | DenoisingAutoencoder.get_parameters | (self, graph=None) | Return the model parameters in the form of numpy arrays.
Parameters
----------
graph : tf.Graph, optional (default = None)
Tensorflow graph object.
Returns
-------
dict : model parameters dictionary. | Return the model parameters in the form of numpy arrays. | [
"Return",
"the",
"model",
"parameters",
"in",
"the",
"form",
"of",
"numpy",
"arrays",
"."
] | def get_parameters(self, graph=None):
"""Return the model parameters in the form of numpy arrays.
Parameters
----------
graph : tf.Graph, optional (default = None)
Tensorflow graph object.
Returns
-------
dict : model parameters dictionary.
... | [
"def",
"get_parameters",
"(",
"self",
",",
"graph",
"=",
"None",
")",
":",
"g",
"=",
"graph",
"if",
"graph",
"is",
"not",
"None",
"else",
"self",
".",
"tf_graph",
"with",
"g",
".",
"as_default",
"(",
")",
":",
"with",
"tf",
".",
"Session",
"(",
")"... | https://github.com/gabrieleangeletti/Deep-Learning-TensorFlow/blob/ddeb1f2848da7b7bee166ad2152b4afc46bb2086/yadlt/models/autoencoders/denoising_autoencoder.py#L291-L315 | ||
fail2ban/fail2ban | 095aeda8407b433098df35424cde2764a09566a6 | fail2ban/server/strptime.py | python | validateTimeZone | (tz) | return zone2offset(tz, 0) | Validate a timezone and convert it to offset if it can (offset-based TZ).
For now this accepts the UTC[+-]hhmm format (UTC has aliases GMT/Z and optional).
Additionally it accepts all zone abbreviations mentioned below in TZ_STR.
Note that currently this zone abbreviations are offset-based and used fixed
offset wi... | Validate a timezone and convert it to offset if it can (offset-based TZ). | [
"Validate",
"a",
"timezone",
"and",
"convert",
"it",
"to",
"offset",
"if",
"it",
"can",
"(",
"offset",
"-",
"based",
"TZ",
")",
"."
] | def validateTimeZone(tz):
"""Validate a timezone and convert it to offset if it can (offset-based TZ).
For now this accepts the UTC[+-]hhmm format (UTC has aliases GMT/Z and optional).
Additionally it accepts all zone abbreviations mentioned below in TZ_STR.
Note that currently this zone abbreviations are offset-b... | [
"def",
"validateTimeZone",
"(",
"tz",
")",
":",
"if",
"tz",
"is",
"None",
":",
"return",
"None",
"m",
"=",
"FIXED_OFFSET_TZ_RE",
".",
"match",
"(",
"tz",
")",
"if",
"m",
"is",
"None",
":",
"raise",
"ValueError",
"(",
"\"Unknown or unsupported time zone: %r\"... | https://github.com/fail2ban/fail2ban/blob/095aeda8407b433098df35424cde2764a09566a6/fail2ban/server/strptime.py#L141-L158 | |
home-assistant-libs/pychromecast | d7acb9f5ae2c0daa797d78da1a1e8090b4181d21 | pychromecast/controllers/media.py | python | MediaController.queue_prev | (self) | Send the QUEUE_PREV command. | Send the QUEUE_PREV command. | [
"Send",
"the",
"QUEUE_PREV",
"command",
"."
] | def queue_prev(self):
"""Send the QUEUE_PREV command."""
self._send_command({MESSAGE_TYPE: TYPE_QUEUE_UPDATE, "jump": -1}) | [
"def",
"queue_prev",
"(",
"self",
")",
":",
"self",
".",
"_send_command",
"(",
"{",
"MESSAGE_TYPE",
":",
"TYPE_QUEUE_UPDATE",
",",
"\"jump\"",
":",
"-",
"1",
"}",
")"
] | https://github.com/home-assistant-libs/pychromecast/blob/d7acb9f5ae2c0daa797d78da1a1e8090b4181d21/pychromecast/controllers/media.py#L444-L446 | ||
robotlearn/pyrobolearn | 9cd7c060723fda7d2779fa255ac998c2c82b8436 | pyrobolearn/priorities/models/model.py | python | ModelInterface.get_joint_limits | (self) | r"""
Return the joint limits.
Returns:
np.array[float[2, N]]: lower and upper joint position limits. | r"""
Return the joint limits. | [
"r",
"Return",
"the",
"joint",
"limits",
"."
] | def get_joint_limits(self):
r"""
Return the joint limits.
Returns:
np.array[float[2, N]]: lower and upper joint position limits.
"""
pass | [
"def",
"get_joint_limits",
"(",
"self",
")",
":",
"pass"
] | https://github.com/robotlearn/pyrobolearn/blob/9cd7c060723fda7d2779fa255ac998c2c82b8436/pyrobolearn/priorities/models/model.py#L123-L130 | ||
BigBrotherBot/big-brother-bot | 848823c71413c86e7f1ff9584f43e08d40a7f2c0 | b3/tools/debug/statlib/pstat.py | python | unique | (inlist) | return uniques | Returns all unique items in the passed list. If the a list-of-lists
is passed, unique LISTS are found (i.e., items in the first dimension are
compared).
Usage: unique (inlist)
Returns: the unique elements (or rows) in inlist | Returns all unique items in the passed list. If the a list-of-lists
is passed, unique LISTS are found (i.e., items in the first dimension are
compared). | [
"Returns",
"all",
"unique",
"items",
"in",
"the",
"passed",
"list",
".",
"If",
"the",
"a",
"list",
"-",
"of",
"-",
"lists",
"is",
"passed",
"unique",
"LISTS",
"are",
"found",
"(",
"i",
".",
"e",
".",
"items",
"in",
"the",
"first",
"dimension",
"are",... | def unique (inlist):
"""
Returns all unique items in the passed list. If the a list-of-lists
is passed, unique LISTS are found (i.e., items in the first dimension are
compared).
Usage: unique (inlist)
Returns: the unique elements (or rows) in inlist
"""
uniques = []
for item in inlist:
if item n... | [
"def",
"unique",
"(",
"inlist",
")",
":",
"uniques",
"=",
"[",
"]",
"for",
"item",
"in",
"inlist",
":",
"if",
"item",
"not",
"in",
"uniques",
":",
"uniques",
".",
"append",
"(",
"item",
")",
"return",
"uniques"
] | https://github.com/BigBrotherBot/big-brother-bot/blob/848823c71413c86e7f1ff9584f43e08d40a7f2c0/b3/tools/debug/statlib/pstat.py#L660-L673 | |
oilshell/oil | 94388e7d44a9ad879b12615f6203b38596b5a2d3 | Python-2.7.13/Lib/pickle.py | python | Unpickler.load_float | (self) | [] | def load_float(self):
self.append(float(self.readline()[:-1])) | [
"def",
"load_float",
"(",
"self",
")",
":",
"self",
".",
"append",
"(",
"float",
"(",
"self",
".",
"readline",
"(",
")",
"[",
":",
"-",
"1",
"]",
")",
")"
] | https://github.com/oilshell/oil/blob/94388e7d44a9ad879b12615f6203b38596b5a2d3/Python-2.7.13/Lib/pickle.py#L960-L961 | ||||
osmr/imgclsmob | f2993d3ce73a2f7ddba05da3891defb08547d504 | pytorch/pytorchcv/models/sharesnet.py | python | sharesnet50 | (**kwargs) | return get_sharesnet(blocks=50, model_name="sharesnet50", **kwargs) | ShaResNet-50 model from 'ShaResNet: reducing residual network parameter number by sharing weights,'
https://arxiv.org/abs/1702.08782.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
Locat... | ShaResNet-50 model from 'ShaResNet: reducing residual network parameter number by sharing weights,'
https://arxiv.org/abs/1702.08782. | [
"ShaResNet",
"-",
"50",
"model",
"from",
"ShaResNet",
":",
"reducing",
"residual",
"network",
"parameter",
"number",
"by",
"sharing",
"weights",
"https",
":",
"//",
"arxiv",
".",
"org",
"/",
"abs",
"/",
"1702",
".",
"08782",
"."
] | def sharesnet50(**kwargs):
"""
ShaResNet-50 model from 'ShaResNet: reducing residual network parameter number by sharing weights,'
https://arxiv.org/abs/1702.08782.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, ... | [
"def",
"sharesnet50",
"(",
"*",
"*",
"kwargs",
")",
":",
"return",
"get_sharesnet",
"(",
"blocks",
"=",
"50",
",",
"model_name",
"=",
"\"sharesnet50\"",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/osmr/imgclsmob/blob/f2993d3ce73a2f7ddba05da3891defb08547d504/pytorch/pytorchcv/models/sharesnet.py#L475-L487 | |
faucetsdn/ryu | 537f35f4b2bc634ef05e3f28373eb5e24609f989 | ryu/services/protocols/bgp/core_managers/table_manager.py | python | TableCoreManager.learn_path | (self, path) | Inserts `path` into correct global table.
Since known paths to `Destination` has changes, we queue it for further
processing. | Inserts `path` into correct global table. | [
"Inserts",
"path",
"into",
"correct",
"global",
"table",
"."
] | def learn_path(self, path):
"""Inserts `path` into correct global table.
Since known paths to `Destination` has changes, we queue it for further
processing.
"""
# Get VPN/Global table
table = self.get_global_table_by_route_family(path.route_family)
gpath_dest = t... | [
"def",
"learn_path",
"(",
"self",
",",
"path",
")",
":",
"# Get VPN/Global table",
"table",
"=",
"self",
".",
"get_global_table_by_route_family",
"(",
"path",
".",
"route_family",
")",
"gpath_dest",
"=",
"table",
".",
"insert",
"(",
"path",
")",
"# Since destina... | https://github.com/faucetsdn/ryu/blob/537f35f4b2bc634ef05e3f28373eb5e24609f989/ryu/services/protocols/bgp/core_managers/table_manager.py#L162-L172 | ||
arnabgho/iSketchNFill | 68060a34d9f78fcc5f3a143ffc733ea6ec979d3f | ui_shadow_draw/py-thin-plate-spline/thinplate/pytorch.py | python | tps | (theta, ctrl, grid) | return z | Evaluate the thin-plate-spline (TPS) surface at xy locations arranged in a grid.
The TPS surface is a minimum bend interpolation surface defined by a set of control points.
The function value for a x,y location is given by
TPS(x,y) := theta[-3] + theta[-2]*x + theta[-1]*y + \sum_t=0,T theta[t] U(x,... | Evaluate the thin-plate-spline (TPS) surface at xy locations arranged in a grid.
The TPS surface is a minimum bend interpolation surface defined by a set of control points.
The function value for a x,y location is given by
TPS(x,y) := theta[-3] + theta[-2]*x + theta[-1]*y + \sum_t=0,T theta[t] U(x,... | [
"Evaluate",
"the",
"thin",
"-",
"plate",
"-",
"spline",
"(",
"TPS",
")",
"surface",
"at",
"xy",
"locations",
"arranged",
"in",
"a",
"grid",
".",
"The",
"TPS",
"surface",
"is",
"a",
"minimum",
"bend",
"interpolation",
"surface",
"defined",
"by",
"a",
"set... | def tps(theta, ctrl, grid):
'''Evaluate the thin-plate-spline (TPS) surface at xy locations arranged in a grid.
The TPS surface is a minimum bend interpolation surface defined by a set of control points.
The function value for a x,y location is given by
TPS(x,y) := theta[-3] + theta[-2]*x + the... | [
"def",
"tps",
"(",
"theta",
",",
"ctrl",
",",
"grid",
")",
":",
"N",
",",
"H",
",",
"W",
",",
"_",
"=",
"grid",
".",
"size",
"(",
")",
"if",
"ctrl",
".",
"dim",
"(",
")",
"==",
"2",
":",
"ctrl",
"=",
"ctrl",
".",
"expand",
"(",
"N",
",",
... | https://github.com/arnabgho/iSketchNFill/blob/68060a34d9f78fcc5f3a143ffc733ea6ec979d3f/ui_shadow_draw/py-thin-plate-spline/thinplate/pytorch.py#L8-L55 | |
etingof/pyasn1 | db8f1a7930c6b5826357646746337dafc983f953 | pyasn1/type/univ.py | python | Any.tagMap | (self) | Return a :class:`~pyasn1.type.tagmap.TagMap` object mapping
ASN.1 tags to ASN.1 objects contained within callee. | Return a :class:`~pyasn1.type.tagmap.TagMap` object mapping
ASN.1 tags to ASN.1 objects contained within callee. | [
"Return",
"a",
":",
"class",
":",
"~pyasn1",
".",
"type",
".",
"tagmap",
".",
"TagMap",
"object",
"mapping",
"ASN",
".",
"1",
"tags",
"to",
"ASN",
".",
"1",
"objects",
"contained",
"within",
"callee",
"."
] | def tagMap(self):
""""Return a :class:`~pyasn1.type.tagmap.TagMap` object mapping
ASN.1 tags to ASN.1 objects contained within callee.
"""
try:
return self._tagMap
except AttributeError:
self._tagMap = tagmap.TagMap(
{self.tagSet: self... | [
"def",
"tagMap",
"(",
"self",
")",
":",
"try",
":",
"return",
"self",
".",
"_tagMap",
"except",
"AttributeError",
":",
"self",
".",
"_tagMap",
"=",
"tagmap",
".",
"TagMap",
"(",
"{",
"self",
".",
"tagSet",
":",
"self",
"}",
",",
"{",
"eoo",
".",
"e... | https://github.com/etingof/pyasn1/blob/db8f1a7930c6b5826357646746337dafc983f953/pyasn1/type/univ.py#L3288-L3302 | ||
js3611/Deep-MRI-Reconstruction | d8a40efd892e57799c3413630e5cb92d5b035cf8 | cascadenet/network/layers/fourier.py | python | FFTLayer.transform | (self, input) | return T.stack([out_r, out_c]) | Perform fourier transform using Fourier matrix
Parameters
------------------------------
input must be of 4d tensor
with shape [n, 2, nx, ny] where [nx, ny] == self.data_shape. n means
number of data. 2 means channels for real and complex part of the input
(channel 1 == ... | Perform fourier transform using Fourier matrix | [
"Perform",
"fourier",
"transform",
"using",
"Fourier",
"matrix"
] | def transform(self, input):
'''
Perform fourier transform using Fourier matrix
Parameters
------------------------------
input must be of 4d tensor
with shape [n, 2, nx, ny] where [nx, ny] == self.data_shape. n means
number of data. 2 means channels for real and ... | [
"def",
"transform",
"(",
"self",
",",
"input",
")",
":",
"in_r",
"=",
"input",
"[",
"0",
"]",
"in_c",
"=",
"input",
"[",
"1",
"]",
"real_fft",
"=",
"self",
".",
"real_fft",
"complex_fft",
"=",
"self",
".",
"complex_fft",
"out_r",
"=",
"T",
".",
"do... | https://github.com/js3611/Deep-MRI-Reconstruction/blob/d8a40efd892e57799c3413630e5cb92d5b035cf8/cascadenet/network/layers/fourier.py#L51-L75 | |
thatbrguy/Pedestrian-Detection | b11c7d6bed0ff320811726fe1c429be26a87da9e | object_detection/builders/model_builder.py | python | _build_faster_rcnn_feature_extractor | (
feature_extractor_config, is_training, reuse_weights=None) | return feature_extractor_class(
is_training, first_stage_features_stride,
batch_norm_trainable, reuse_weights) | Builds a faster_rcnn_meta_arch.FasterRCNNFeatureExtractor based on config.
Args:
feature_extractor_config: A FasterRcnnFeatureExtractor proto config from
faster_rcnn.proto.
is_training: True if this feature extractor is being built for training.
reuse_weights: if the feature extractor should reuse ... | Builds a faster_rcnn_meta_arch.FasterRCNNFeatureExtractor based on config. | [
"Builds",
"a",
"faster_rcnn_meta_arch",
".",
"FasterRCNNFeatureExtractor",
"based",
"on",
"config",
"."
] | def _build_faster_rcnn_feature_extractor(
feature_extractor_config, is_training, reuse_weights=None):
"""Builds a faster_rcnn_meta_arch.FasterRCNNFeatureExtractor based on config.
Args:
feature_extractor_config: A FasterRcnnFeatureExtractor proto config from
faster_rcnn.proto.
is_training: True i... | [
"def",
"_build_faster_rcnn_feature_extractor",
"(",
"feature_extractor_config",
",",
"is_training",
",",
"reuse_weights",
"=",
"None",
")",
":",
"feature_type",
"=",
"feature_extractor_config",
".",
"type",
"first_stage_features_stride",
"=",
"(",
"feature_extractor_config",
... | https://github.com/thatbrguy/Pedestrian-Detection/blob/b11c7d6bed0ff320811726fe1c429be26a87da9e/object_detection/builders/model_builder.py#L177-L205 | |
GoogleCloudPlatform/professional-services | 0c707aa97437f3d154035ef8548109b7882f71da | tools/gmon/gmon/cli.py | python | parse_fields | (fields) | return fields | Parse `fields` CLI argument.
Args:
fields (list): List of fields to display.
Returns:
list: Parsed fields. | Parse `fields` CLI argument. | [
"Parse",
"fields",
"CLI",
"argument",
"."
] | def parse_fields(fields):
"""Parse `fields` CLI argument.
Args:
fields (list): List of fields to display.
Returns:
list: Parsed fields.
"""
# display all fields
if fields == ['all']:
return None
# Remove unneeded fields
to_remove = []
if fields:
# G... | [
"def",
"parse_fields",
"(",
"fields",
")",
":",
"# display all fields",
"if",
"fields",
"==",
"[",
"'all'",
"]",
":",
"return",
"None",
"# Remove unneeded fields",
"to_remove",
"=",
"[",
"]",
"if",
"fields",
":",
"# Go through fields and check for comma-delimited fiel... | https://github.com/GoogleCloudPlatform/professional-services/blob/0c707aa97437f3d154035ef8548109b7882f71da/tools/gmon/gmon/cli.py#L405-L429 | |
SHI-Labs/Decoupled-Classification-Refinement | 16202b48eb9cbf79a9b130a98e8c209d4f24693e | faster_rcnn/core/DataParallelExecutorGroup.py | python | DataParallelExecutorGroup.get_outputs | (self, merge_multi_context=True) | return outputs | Get outputs of the previous forward computation.
Parameters
----------
merge_multi_context : bool
Default is `True`. In the case when data-parallelism is used, the outputs
will be collected from multiple devices. A `True` value indicate that we
should merge t... | Get outputs of the previous forward computation. | [
"Get",
"outputs",
"of",
"the",
"previous",
"forward",
"computation",
"."
] | def get_outputs(self, merge_multi_context=True):
"""Get outputs of the previous forward computation.
Parameters
----------
merge_multi_context : bool
Default is `True`. In the case when data-parallelism is used, the outputs
will be collected from multiple devices... | [
"def",
"get_outputs",
"(",
"self",
",",
"merge_multi_context",
"=",
"True",
")",
":",
"outputs",
"=",
"[",
"[",
"exec_",
".",
"outputs",
"[",
"i",
"]",
"for",
"exec_",
"in",
"self",
".",
"execs",
"]",
"for",
"i",
"in",
"range",
"(",
"len",
"(",
"se... | https://github.com/SHI-Labs/Decoupled-Classification-Refinement/blob/16202b48eb9cbf79a9b130a98e8c209d4f24693e/faster_rcnn/core/DataParallelExecutorGroup.py#L363-L384 | |
danieljl/keras-image-captioning | cac7a99ed35ed787b473376ce5c5d189f191f578 | pycocoevalcap/bleu/bleu_scorer.py | python | cook_refs | (refs, eff=None, n=4) | return (reflen, maxcounts) | Takes a list of reference sentences for a single segment
and returns an object that encapsulates everything that BLEU
needs to know about them. | Takes a list of reference sentences for a single segment
and returns an object that encapsulates everything that BLEU
needs to know about them. | [
"Takes",
"a",
"list",
"of",
"reference",
"sentences",
"for",
"a",
"single",
"segment",
"and",
"returns",
"an",
"object",
"that",
"encapsulates",
"everything",
"that",
"BLEU",
"needs",
"to",
"know",
"about",
"them",
"."
] | def cook_refs(refs, eff=None, n=4): ## lhuang: oracle will call with "average"
'''Takes a list of reference sentences for a single segment
and returns an object that encapsulates everything that BLEU
needs to know about them.'''
reflen = []
maxcounts = {}
for ref in refs:
rl, counts = p... | [
"def",
"cook_refs",
"(",
"refs",
",",
"eff",
"=",
"None",
",",
"n",
"=",
"4",
")",
":",
"## lhuang: oracle will call with \"average\"",
"reflen",
"=",
"[",
"]",
"maxcounts",
"=",
"{",
"}",
"for",
"ref",
"in",
"refs",
":",
"rl",
",",
"counts",
"=",
"pre... | https://github.com/danieljl/keras-image-captioning/blob/cac7a99ed35ed787b473376ce5c5d189f191f578/pycocoevalcap/bleu/bleu_scorer.py#L35-L58 | |
pm4py/pm4py-core | 7807b09a088b02199cd0149d724d0e28793971bf | pm4py/objects/stochastic_petri/ctmc.py | python | get_tangible_reachability_and_q_matrix_from_dfg_performance | (dfg_performance, invisible_firing_rate=1000.0, parameters=None) | return tang_reach_graph, tang_reach_graph, stochastic_map, q_matrix | Get the tangible reachability graph and the Q matrix from the performance DFG
Parameters
-------------
dfg_performance
Performance DFG
invisible_firing_rate
Firing rate for invisible transitions
parameters
Parameters
Returns
-------------
reachab_graph
R... | Get the tangible reachability graph and the Q matrix from the performance DFG | [
"Get",
"the",
"tangible",
"reachability",
"graph",
"and",
"the",
"Q",
"matrix",
"from",
"the",
"performance",
"DFG"
] | def get_tangible_reachability_and_q_matrix_from_dfg_performance(dfg_performance, invisible_firing_rate=1000.0, parameters=None):
"""
Get the tangible reachability graph and the Q matrix from the performance DFG
Parameters
-------------
dfg_performance
Performance DFG
invisible_firing_ra... | [
"def",
"get_tangible_reachability_and_q_matrix_from_dfg_performance",
"(",
"dfg_performance",
",",
"invisible_firing_rate",
"=",
"1000.0",
",",
"parameters",
"=",
"None",
")",
":",
"if",
"parameters",
"is",
"None",
":",
"parameters",
"=",
"{",
"}",
"net",
",",
"im",... | https://github.com/pm4py/pm4py-core/blob/7807b09a088b02199cd0149d724d0e28793971bf/pm4py/objects/stochastic_petri/ctmc.py#L86-L137 | |
apigee/henchman | 13c53c66669800aaa89f1799ac974b45ec473c3d | modules/curl/curl/requests/requests/packages/urllib3/_collections.py | python | RecentlyUsedContainer.clear | (self) | [] | def clear(self):
with self.lock:
# Copy pointers to all values, then wipe the mapping
values = list(itervalues(self._container))
self._container.clear()
if self.dispose_func:
for value in values:
self.dispose_func(value) | [
"def",
"clear",
"(",
"self",
")",
":",
"with",
"self",
".",
"lock",
":",
"# Copy pointers to all values, then wipe the mapping",
"values",
"=",
"list",
"(",
"itervalues",
"(",
"self",
".",
"_container",
")",
")",
"self",
".",
"_container",
".",
"clear",
"(",
... | https://github.com/apigee/henchman/blob/13c53c66669800aaa89f1799ac974b45ec473c3d/modules/curl/curl/requests/requests/packages/urllib3/_collections.py#L85-L93 | ||||
PowerScript/KatanaFramework | 0f6ad90a88de865d58ec26941cb4460501e75496 | lib/scapy/build/lib.linux-i686-2.7/scapy/contrib/bgp.py | python | BGPOptionalParameter.extract_padding | (self, p) | return "",p | any thing after this packet is extracted is padding | any thing after this packet is extracted is padding | [
"any",
"thing",
"after",
"this",
"packet",
"is",
"extracted",
"is",
"padding"
] | def extract_padding(self, p):
"""any thing after this packet is extracted is padding"""
return "",p | [
"def",
"extract_padding",
"(",
"self",
",",
"p",
")",
":",
"return",
"\"\"",
",",
"p"
] | https://github.com/PowerScript/KatanaFramework/blob/0f6ad90a88de865d58ec26941cb4460501e75496/lib/scapy/build/lib.linux-i686-2.7/scapy/contrib/bgp.py#L74-L76 | |
ACCLAB/DABEST-python | 3ac87685a6c0859f731e9c9107bef8f32e39a61d | dabest/_stats_tools/effsize.py | python | _compute_hedges_correction_factor | (n1, n2) | return out | Computes the bias correction factor for Hedges' g.
See https://en.wikipedia.org/wiki/Effect_size#Hedges'_g
Returns
-------
j: float
References
----------
Larry V. Hedges & Ingram Olkin (1985).
Statistical Methods for Meta-Analysis. Orlando: Academic Press.
ISBN 0-12-336380-2. | Computes the bias correction factor for Hedges' g. | [
"Computes",
"the",
"bias",
"correction",
"factor",
"for",
"Hedges",
"g",
"."
] | def _compute_hedges_correction_factor(n1, n2):
"""
Computes the bias correction factor for Hedges' g.
See https://en.wikipedia.org/wiki/Effect_size#Hedges'_g
Returns
-------
j: float
References
----------
Larry V. Hedges & Ingram Olkin (1985).
Statistical Methods for Meta-... | [
"def",
"_compute_hedges_correction_factor",
"(",
"n1",
",",
"n2",
")",
":",
"from",
"scipy",
".",
"special",
"import",
"gamma",
"from",
"numpy",
"import",
"sqrt",
",",
"isinf",
"import",
"warnings",
"df",
"=",
"n1",
"+",
"n2",
"-",
"2",
"numer",
"=",
"ga... | https://github.com/ACCLAB/DABEST-python/blob/3ac87685a6c0859f731e9c9107bef8f32e39a61d/dabest/_stats_tools/effsize.py#L352-L388 | |
rembo10/headphones | b3199605be1ebc83a7a8feab6b1e99b64014187c | headphones/webserve.py | python | WebInterface.addArtist | (self, artistid) | [] | def addArtist(self, artistid):
thread = threading.Thread(target=importer.addArtisttoDB, args=[artistid])
thread.start()
thread.join(1)
raise cherrypy.HTTPRedirect("artistPage?ArtistID=%s" % artistid) | [
"def",
"addArtist",
"(",
"self",
",",
"artistid",
")",
":",
"thread",
"=",
"threading",
".",
"Thread",
"(",
"target",
"=",
"importer",
".",
"addArtisttoDB",
",",
"args",
"=",
"[",
"artistid",
"]",
")",
"thread",
".",
"start",
"(",
")",
"thread",
".",
... | https://github.com/rembo10/headphones/blob/b3199605be1ebc83a7a8feab6b1e99b64014187c/headphones/webserve.py#L165-L169 | ||||
napari/napari | dbf4158e801fa7a429de8ef1cdee73bf6d64c61e | napari/_qt/qt_viewer.py | python | QtViewer._map_canvas2world | (self, position) | return tuple(position_world) | Map position from canvas pixels into world coordinates.
Parameters
----------
position : 2-tuple
Position in canvas (x, y).
Returns
-------
coords : tuple
Position in world coordinates, matches the total dimensionality
of the viewer. | Map position from canvas pixels into world coordinates. | [
"Map",
"position",
"from",
"canvas",
"pixels",
"into",
"world",
"coordinates",
"."
] | def _map_canvas2world(self, position):
"""Map position from canvas pixels into world coordinates.
Parameters
----------
position : 2-tuple
Position in canvas (x, y).
Returns
-------
coords : tuple
Position in world coordinates, matches th... | [
"def",
"_map_canvas2world",
"(",
"self",
",",
"position",
")",
":",
"nd",
"=",
"self",
".",
"viewer",
".",
"dims",
".",
"ndisplay",
"transform",
"=",
"self",
".",
"view",
".",
"scene",
".",
"transform",
"mapped_position",
"=",
"transform",
".",
"imap",
"... | https://github.com/napari/napari/blob/dbf4158e801fa7a429de8ef1cdee73bf6d64c61e/napari/_qt/qt_viewer.py#L816-L839 | |
privacyidea/privacyidea | 9490c12ddbf77a34ac935b082d09eb583dfafa2c | privacyidea/lib/config.py | python | get_token_list | () | return module_list | get the list of the tokens
:return: list of token names from the config file | get the list of the tokens
:return: list of token names from the config file | [
"get",
"the",
"list",
"of",
"the",
"tokens",
":",
"return",
":",
"list",
"of",
"token",
"names",
"from",
"the",
"config",
"file"
] | def get_token_list():
"""
get the list of the tokens
:return: list of token names from the config file
"""
module_list = set()
module_list.add("privacyidea.lib.tokens.daplugtoken")
module_list.add("privacyidea.lib.tokens.hotptoken")
module_list.add("privacyidea.lib.tokens.motptoken")
... | [
"def",
"get_token_list",
"(",
")",
":",
"module_list",
"=",
"set",
"(",
")",
"module_list",
".",
"add",
"(",
"\"privacyidea.lib.tokens.daplugtoken\"",
")",
"module_list",
".",
"add",
"(",
"\"privacyidea.lib.tokens.hotptoken\"",
")",
"module_list",
".",
"add",
"(",
... | https://github.com/privacyidea/privacyidea/blob/9490c12ddbf77a34ac935b082d09eb583dfafa2c/privacyidea/lib/config.py#L690-L731 | |
IronLanguages/ironpython3 | 7a7bb2a872eeab0d1009fc8a6e24dca43f65b693 | Src/StdLib/Lib/email/message.py | python | _IsAttachment.__bool__ | (self) | return self.value | [] | def __bool__(self):
warnings.warn("is_attachment will be a method, not a property, in 3.5",
DeprecationWarning,
stacklevel=3)
return self.value | [
"def",
"__bool__",
"(",
"self",
")",
":",
"warnings",
".",
"warn",
"(",
"\"is_attachment will be a method, not a property, in 3.5\"",
",",
"DeprecationWarning",
",",
"stacklevel",
"=",
"3",
")",
"return",
"self",
".",
"value"
] | https://github.com/IronLanguages/ironpython3/blob/7a7bb2a872eeab0d1009fc8a6e24dca43f65b693/Src/StdLib/Lib/email/message.py#L939-L943 | |||
lebedov/scikit-cuda | 5d3c74f926fe7ce67ecfc85e9623aab7bc0b344f | skcuda/magma.py | python | magma_ssyevdx_gpu | (jobz, rnge, uplo, n, A, lda,
vl, vu, il, iu, m,
w, wa, ldwa,
work, lwork, iwork, liwork) | Compute eigenvalues of real symmetric matrix.
Single-GPU, data on device, expert mode
source: dsyedx_m.cpp | Compute eigenvalues of real symmetric matrix.
Single-GPU, data on device, expert mode | [
"Compute",
"eigenvalues",
"of",
"real",
"symmetric",
"matrix",
".",
"Single",
"-",
"GPU",
"data",
"on",
"device",
"expert",
"mode"
] | def magma_ssyevdx_gpu(jobz, rnge, uplo, n, A, lda,
vl, vu, il, iu, m,
w, wa, ldwa,
work, lwork, iwork, liwork):
"""
Compute eigenvalues of real symmetric matrix.
Single-GPU, data on device, expert mode
source: dsyedx_m.cpp
"""
# _XXX_... | [
"def",
"magma_ssyevdx_gpu",
"(",
"jobz",
",",
"rnge",
",",
"uplo",
",",
"n",
",",
"A",
",",
"lda",
",",
"vl",
",",
"vu",
",",
"il",
",",
"iu",
",",
"m",
",",
"w",
",",
"wa",
",",
"ldwa",
",",
"work",
",",
"lwork",
",",
"iwork",
",",
"liwork",... | https://github.com/lebedov/scikit-cuda/blob/5d3c74f926fe7ce67ecfc85e9623aab7bc0b344f/skcuda/magma.py#L3887-L3907 | ||
secureworks/dalton | a514a7ed5dc376a6722260910078d841017b1f80 | app/dalton.py | python | set_job_status | (jobid, status) | set's a job status code | set's a job status code | [
"set",
"s",
"a",
"job",
"status",
"code"
] | def set_job_status(jobid, status):
"""set's a job status code"""
global r
r.set("%s-statcode" % jobid, status)
# statcode keys do not expire if/when they are queued
if status != STAT_CODE_QUEUED:
if r.get("%s-teapotjob" % jobid):
r.expire("%s-statcode" % jobid, TEAPOT_REDIS_EXPIR... | [
"def",
"set_job_status",
"(",
"jobid",
",",
"status",
")",
":",
"global",
"r",
"r",
".",
"set",
"(",
"\"%s-statcode\"",
"%",
"jobid",
",",
"status",
")",
"# statcode keys do not expire if/when they are queued",
"if",
"status",
"!=",
"STAT_CODE_QUEUED",
":",
"if",
... | https://github.com/secureworks/dalton/blob/a514a7ed5dc376a6722260910078d841017b1f80/app/dalton.py#L273-L282 | ||
holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/traitlets/config/loader.py | python | Config._merge | (self, other) | deprecated alias, use Config.merge() | deprecated alias, use Config.merge() | [
"deprecated",
"alias",
"use",
"Config",
".",
"merge",
"()"
] | def _merge(self, other):
"""deprecated alias, use Config.merge()"""
self.merge(other) | [
"def",
"_merge",
"(",
"self",
",",
"other",
")",
":",
"self",
".",
"merge",
"(",
"other",
")"
] | https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/traitlets/config/loader.py#L178-L180 | ||
OpenTSDB/tcollector | 37ae920d83c1002da66b5201a5311b1714cb5c14 | collectors/0/haproxy.py | python | find_sock_file | (conf_file) | Returns the unix socket file of haproxy. | Returns the unix socket file of haproxy. | [
"Returns",
"the",
"unix",
"socket",
"file",
"of",
"haproxy",
"."
] | def find_sock_file(conf_file):
"""Returns the unix socket file of haproxy."""
try:
fd = open(conf_file)
except IOError as e:
utils.err("Error: %s. Config file path is relative: %s" % (e, conf_file))
return None
try:
for line in fd:
if line.lstrip(" \t").startswith("stats socket"):
... | [
"def",
"find_sock_file",
"(",
"conf_file",
")",
":",
"try",
":",
"fd",
"=",
"open",
"(",
"conf_file",
")",
"except",
"IOError",
"as",
"e",
":",
"utils",
".",
"err",
"(",
"\"Error: %s. Config file path is relative: %s\"",
"%",
"(",
"e",
",",
"conf_file",
")",... | https://github.com/OpenTSDB/tcollector/blob/37ae920d83c1002da66b5201a5311b1714cb5c14/collectors/0/haproxy.py#L110-L124 | ||
WerWolv/EdiZon_CheatsConfigsAndScripts | d16d36c7509c01dca770f402babd83ff2e9ae6e7 | Scripts/lib/python3.5/code.py | python | interact | (banner=None, readfunc=None, local=None) | Closely emulate the interactive Python interpreter.
This is a backwards compatible interface to the InteractiveConsole
class. When readfunc is not specified, it attempts to import the
readline module to enable GNU readline if it is available.
Arguments (all optional, all default to None):
banner... | Closely emulate the interactive Python interpreter. | [
"Closely",
"emulate",
"the",
"interactive",
"Python",
"interpreter",
"."
] | def interact(banner=None, readfunc=None, local=None):
"""Closely emulate the interactive Python interpreter.
This is a backwards compatible interface to the InteractiveConsole
class. When readfunc is not specified, it attempts to import the
readline module to enable GNU readline if it is available.
... | [
"def",
"interact",
"(",
"banner",
"=",
"None",
",",
"readfunc",
"=",
"None",
",",
"local",
"=",
"None",
")",
":",
"console",
"=",
"InteractiveConsole",
"(",
"local",
")",
"if",
"readfunc",
"is",
"not",
"None",
":",
"console",
".",
"raw_input",
"=",
"re... | https://github.com/WerWolv/EdiZon_CheatsConfigsAndScripts/blob/d16d36c7509c01dca770f402babd83ff2e9ae6e7/Scripts/lib/python3.5/code.py#L270-L292 | ||
CvvT/dumpDex | 92ab3b7e996194a06bf1dd5538a4954e8a5ee9c1 | python/idaapi.py | python | is_type_bool | (*args) | return _idaapi.is_type_bool(*args) | is_type_bool(t) -> bool | is_type_bool(t) -> bool | [
"is_type_bool",
"(",
"t",
")",
"-",
">",
"bool"
] | def is_type_bool(*args):
"""
is_type_bool(t) -> bool
"""
return _idaapi.is_type_bool(*args) | [
"def",
"is_type_bool",
"(",
"*",
"args",
")",
":",
"return",
"_idaapi",
".",
"is_type_bool",
"(",
"*",
"args",
")"
] | https://github.com/CvvT/dumpDex/blob/92ab3b7e996194a06bf1dd5538a4954e8a5ee9c1/python/idaapi.py#L28508-L28512 | |
edwardlib/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | observations/r/ant111b.py | python | ant111b | (path) | return x_train, metadata | Averages by block of corn yields, for treatment 111 only
These data frames have averages by blocks (parcels) for the treatment
`111`.
A data frame with 36 observations on 9 variables.
site
a factor with levels (`ant111b`:) `DBAN` `LFAN` `NSAN`
`ORAN` `OVAN` `TEAN` `WEAN` `WLAN`
parcel
a ... | Averages by block of corn yields, for treatment 111 only | [
"Averages",
"by",
"block",
"of",
"corn",
"yields",
"for",
"treatment",
"111",
"only"
] | def ant111b(path):
"""Averages by block of corn yields, for treatment 111 only
These data frames have averages by blocks (parcels) for the treatment
`111`.
A data frame with 36 observations on 9 variables.
site
a factor with levels (`ant111b`:) `DBAN` `LFAN` `NSAN`
`ORAN` `OVAN` `TEAN` `WEAN` `... | [
"def",
"ant111b",
"(",
"path",
")",
":",
"import",
"pandas",
"as",
"pd",
"path",
"=",
"os",
".",
"path",
".",
"expanduser",
"(",
"path",
")",
"filename",
"=",
"'ant111b.csv'",
"if",
"not",
"os",
".",
"path",
".",
"exists",
"(",
"os",
".",
"path",
"... | https://github.com/edwardlib/observations/blob/2c8b1ac31025938cb17762e540f2f592e302d5de/observations/r/ant111b.py#L14-L78 | |
selfteaching/selfteaching-python-camp | 9982ee964b984595e7d664b07c389cddaf158f1e | 19100104/zqiwj/d3_exercise_calculator .py | python | divide | (x, y) | return x / y | 相除 | 相除 | [
"相除"
] | def divide(x, y):
"""相除"""
return x / y | [
"def",
"divide",
"(",
"x",
",",
"y",
")",
":",
"return",
"x",
"/",
"y"
] | https://github.com/selfteaching/selfteaching-python-camp/blob/9982ee964b984595e7d664b07c389cddaf158f1e/19100104/zqiwj/d3_exercise_calculator .py#L17-L20 | |
home-assistant/core | 265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1 | homeassistant/components/imap_email_content/sensor.py | python | EmailContentSensor.__init__ | (self, hass, email_reader, name, allowed_senders, value_template) | Initialize the sensor. | Initialize the sensor. | [
"Initialize",
"the",
"sensor",
"."
] | def __init__(self, hass, email_reader, name, allowed_senders, value_template):
"""Initialize the sensor."""
self.hass = hass
self._email_reader = email_reader
self._name = name
self._allowed_senders = [sender.upper() for sender in allowed_senders]
self._value_template = v... | [
"def",
"__init__",
"(",
"self",
",",
"hass",
",",
"email_reader",
",",
"name",
",",
"allowed_senders",
",",
"value_template",
")",
":",
"self",
".",
"hass",
"=",
"hass",
"self",
".",
"_email_reader",
"=",
"email_reader",
"self",
".",
"_name",
"=",
"name",
... | https://github.com/home-assistant/core/blob/265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1/homeassistant/components/imap_email_content/sensor.py#L157-L167 | ||
sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/manifolds/differentiable/de_rham_cohomology.py | python | DeRhamCohomologyClass._latex_ | (self) | return rf"\left[{latex_name}\right]" | r"""
Return a LaTeX representation of the object.
TESTS::
sage: M = Manifold(2, 'M', latex_name=r'\mathcal{M}')
sage: X.<x,y> = M.chart()
sage: C = M.de_rham_complex()
sage: H = C.cohomology()
sage: omega = M.diff_form(1, [1,1], name='omega',... | r"""
Return a LaTeX representation of the object. | [
"r",
"Return",
"a",
"LaTeX",
"representation",
"of",
"the",
"object",
"."
] | def _latex_(self):
r"""
Return a LaTeX representation of the object.
TESTS::
sage: M = Manifold(2, 'M', latex_name=r'\mathcal{M}')
sage: X.<x,y> = M.chart()
sage: C = M.de_rham_complex()
sage: H = C.cohomology()
sage: omega = M.diff_f... | [
"def",
"_latex_",
"(",
"self",
")",
":",
"latex_name",
"=",
"self",
".",
"_representative",
".",
"_latex_name",
"if",
"latex_name",
"is",
"None",
":",
"latex_name",
"=",
"r'\\mathrm{unnamed form}'",
"return",
"rf\"\\left[{latex_name}\\right]\""
] | https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/manifolds/differentiable/de_rham_cohomology.py#L139-L160 | |
Komodo/KomodoEdit | 61edab75dce2bdb03943b387b0608ea36f548e8e | src/codeintel/play/core.py | python | MouseEvent.GetX | (*args, **kwargs) | return _core.MouseEvent_GetX(*args, **kwargs) | GetX() -> int | GetX() -> int | [
"GetX",
"()",
"-",
">",
"int"
] | def GetX(*args, **kwargs):
"""GetX() -> int"""
return _core.MouseEvent_GetX(*args, **kwargs) | [
"def",
"GetX",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_core",
".",
"MouseEvent_GetX",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/Komodo/KomodoEdit/blob/61edab75dce2bdb03943b387b0608ea36f548e8e/src/codeintel/play/core.py#L3417-L3419 | |
NVlabs/neuralrgbd | c8071a0bcbd4c4e7ef95c44e7de9c51353ab9764 | code/mutils/misc.py | python | indexMap2DMap | (d_range, indx_map) | return np.reshape(DMap, indx_map.shape) | [] | def indexMap2DMap(d_range, indx_map):
indx_map_flat = indx_map.flatten()
DMap = [ d_range[indx_] for indx_ in indx_map_flat]
return np.reshape(DMap, indx_map.shape) | [
"def",
"indexMap2DMap",
"(",
"d_range",
",",
"indx_map",
")",
":",
"indx_map_flat",
"=",
"indx_map",
".",
"flatten",
"(",
")",
"DMap",
"=",
"[",
"d_range",
"[",
"indx_",
"]",
"for",
"indx_",
"in",
"indx_map_flat",
"]",
"return",
"np",
".",
"reshape",
"("... | https://github.com/NVlabs/neuralrgbd/blob/c8071a0bcbd4c4e7ef95c44e7de9c51353ab9764/code/mutils/misc.py#L231-L234 | |||
biolab/orange2 | db40a9449cb45b507d63dcd5739b223f9cffb8e6 | Orange/orng/orngCA.py | python | CA.getMatrix | (self) | return self.__dataMatrix | Returns array object that is representation of contingency table. | Returns array object that is representation of contingency table. | [
"Returns",
"array",
"object",
"that",
"is",
"representation",
"of",
"contingency",
"table",
"."
] | def getMatrix(self):
"""
Returns array object that is representation of contingency table.
"""
return self.__dataMatrix | [
"def",
"getMatrix",
"(",
"self",
")",
":",
"return",
"self",
".",
"__dataMatrix"
] | https://github.com/biolab/orange2/blob/db40a9449cb45b507d63dcd5739b223f9cffb8e6/Orange/orng/orngCA.py#L80-L84 | |
ARMmbed/yotta | 82d854b43d391abb5a006b05e7beffe7d0d6ffbf | yotta/lib/cmakegen.py | python | CMakeGen.generateRecursive | (self, component, all_components, builddir=None, modbuilddir=None, processed_components=None, application=None) | generate top-level CMakeLists for this component and its
dependencies: the CMakeLists are all generated in self.buildroot,
which MUST be out-of-source
!!! NOTE: experimenting with a slightly different way of doing
things here, this function is a generator that yields any... | generate top-level CMakeLists for this component and its
dependencies: the CMakeLists are all generated in self.buildroot,
which MUST be out-of-source | [
"generate",
"top",
"-",
"level",
"CMakeLists",
"for",
"this",
"component",
"and",
"its",
"dependencies",
":",
"the",
"CMakeLists",
"are",
"all",
"generated",
"in",
"self",
".",
"buildroot",
"which",
"MUST",
"be",
"out",
"-",
"of",
"-",
"source"
] | def generateRecursive(self, component, all_components, builddir=None, modbuilddir=None, processed_components=None, application=None):
''' generate top-level CMakeLists for this component and its
dependencies: the CMakeLists are all generated in self.buildroot,
which MUST be out-of-source... | [
"def",
"generateRecursive",
"(",
"self",
",",
"component",
",",
"all_components",
",",
"builddir",
"=",
"None",
",",
"modbuilddir",
"=",
"None",
",",
"processed_components",
"=",
"None",
",",
"application",
"=",
"None",
")",
":",
"assert",
"(",
"self",
".",
... | https://github.com/ARMmbed/yotta/blob/82d854b43d391abb5a006b05e7beffe7d0d6ffbf/yotta/lib/cmakegen.py#L98-L166 | ||
sfepy/sfepy | 02ec7bb2ab39ee1dfe1eb4cd509f0ffb7dcc8b25 | sfepy/discrete/projections.py | python | create_mass_matrix | (field) | return mtx | Create scalar mass matrix corresponding to the given field.
Returns
-------
mtx : csr_matrix
The mass matrix in CSR format. | Create scalar mass matrix corresponding to the given field. | [
"Create",
"scalar",
"mass",
"matrix",
"corresponding",
"to",
"the",
"given",
"field",
"."
] | def create_mass_matrix(field):
"""
Create scalar mass matrix corresponding to the given field.
Returns
-------
mtx : csr_matrix
The mass matrix in CSR format.
"""
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
integral =... | [
"def",
"create_mass_matrix",
"(",
"field",
")",
":",
"u",
"=",
"FieldVariable",
"(",
"'u'",
",",
"'unknown'",
",",
"field",
")",
"v",
"=",
"FieldVariable",
"(",
"'v'",
",",
"'test'",
",",
"field",
",",
"primary_var_name",
"=",
"'u'",
")",
"integral",
"="... | https://github.com/sfepy/sfepy/blob/02ec7bb2ab39ee1dfe1eb4cd509f0ffb7dcc8b25/sfepy/discrete/projections.py#L16-L39 | |
macanv/BERT-BiLSTM-CRF-NER | ccf3f093f0ac803e435cb8e8598fdddc2ba1105d | bert_base/bert/create_pretraining_data.py | python | create_instances_from_document | (
all_documents, document_index, max_seq_length, short_seq_prob,
masked_lm_prob, max_predictions_per_seq, vocab_words, rng) | return instances | Creates `TrainingInstance`s for a single document. | Creates `TrainingInstance`s for a single document. | [
"Creates",
"TrainingInstance",
"s",
"for",
"a",
"single",
"document",
"."
] | def create_instances_from_document(
all_documents, document_index, max_seq_length, short_seq_prob,
masked_lm_prob, max_predictions_per_seq, vocab_words, rng):
"""Creates `TrainingInstance`s for a single document."""
document = all_documents[document_index]
# Account for [CLS], [SEP], [SEP]
max_num_toke... | [
"def",
"create_instances_from_document",
"(",
"all_documents",
",",
"document_index",
",",
"max_seq_length",
",",
"short_seq_prob",
",",
"masked_lm_prob",
",",
"max_predictions_per_seq",
",",
"vocab_words",
",",
"rng",
")",
":",
"document",
"=",
"all_documents",
"[",
... | https://github.com/macanv/BERT-BiLSTM-CRF-NER/blob/ccf3f093f0ac803e435cb8e8598fdddc2ba1105d/bert_base/bert/create_pretraining_data.py#L220-L332 | |
GalSim-developers/GalSim | a05d4ec3b8d8574f99d3b0606ad882cbba53f345 | galsim/cdmodel.py | python | _modelShiftCoeffT | (x, y, r0, t0, rx, tx, r, t, alpha) | return cc * t * rr**(-alpha) | Calculate the model shift coeff of top pixel border as a function of int pixel
position (x, y). | Calculate the model shift coeff of top pixel border as a function of int pixel
position (x, y). | [
"Calculate",
"the",
"model",
"shift",
"coeff",
"of",
"top",
"pixel",
"border",
"as",
"a",
"function",
"of",
"int",
"pixel",
"position",
"(",
"x",
"y",
")",
"."
] | def _modelShiftCoeffT(x, y, r0, t0, rx, tx, r, t, alpha):
"""Calculate the model shift coeff of top pixel border as a function of int pixel
position (x, y).
"""
# Invoke symmetry
if x < 0: return _modelShiftCoeffT(-x, y, r0, t0, rx, tx, r, t, alpha)
if y < 0: return -_modelShiftCoeffT(x, 1 - y, ... | [
"def",
"_modelShiftCoeffT",
"(",
"x",
",",
"y",
",",
"r0",
",",
"t0",
",",
"rx",
",",
"tx",
",",
"r",
",",
"t",
",",
"alpha",
")",
":",
"# Invoke symmetry",
"if",
"x",
"<",
"0",
":",
"return",
"_modelShiftCoeffT",
"(",
"-",
"x",
",",
"y",
",",
... | https://github.com/GalSim-developers/GalSim/blob/a05d4ec3b8d8574f99d3b0606ad882cbba53f345/galsim/cdmodel.py#L147-L162 | |
numenta/nupic | b9ebedaf54f49a33de22d8d44dff7c765cdb5548 | external/linux32/lib/python2.6/site-packages/matplotlib/contour.py | python | ContourLabeler.print_label | (self, linecontour,labelwidth) | if contours are too short, don't plot a label | if contours are too short, don't plot a label | [
"if",
"contours",
"are",
"too",
"short",
"don",
"t",
"plot",
"a",
"label"
] | def print_label(self, linecontour,labelwidth):
"if contours are too short, don't plot a label"
lcsize = len(linecontour)
if lcsize > 10 * labelwidth:
return 1
xmax = np.amax(linecontour[:,0])
xmin = np.amin(linecontour[:,0])
ymax = np.amax(linecontour[:,1])
... | [
"def",
"print_label",
"(",
"self",
",",
"linecontour",
",",
"labelwidth",
")",
":",
"lcsize",
"=",
"len",
"(",
"linecontour",
")",
"if",
"lcsize",
">",
"10",
"*",
"labelwidth",
":",
"return",
"1",
"xmax",
"=",
"np",
".",
"amax",
"(",
"linecontour",
"["... | https://github.com/numenta/nupic/blob/b9ebedaf54f49a33de22d8d44dff7c765cdb5548/external/linux32/lib/python2.6/site-packages/matplotlib/contour.py#L189-L204 | ||
asyml/texar | a23f021dae289a3d768dc099b220952111da04fd | examples/gpt-2/prepare_data.py | python | prepare_data | () | Builds the model and runs. | Builds the model and runs. | [
"Builds",
"the",
"model",
"and",
"runs",
"."
] | def prepare_data():
"""
Builds the model and runs.
"""
data_dir = FLAGS.data_dir
if FLAGS.tfrecord_output_dir is None:
tfrecord_output_dir = data_dir
else:
tfrecord_output_dir = FLAGS.tfrecord_output_dir
tx.utils.maybe_create_dir(tfrecord_output_dir)
# Creates a data pre... | [
"def",
"prepare_data",
"(",
")",
":",
"data_dir",
"=",
"FLAGS",
".",
"data_dir",
"if",
"FLAGS",
".",
"tfrecord_output_dir",
"is",
"None",
":",
"tfrecord_output_dir",
"=",
"data_dir",
"else",
":",
"tfrecord_output_dir",
"=",
"FLAGS",
".",
"tfrecord_output_dir",
"... | https://github.com/asyml/texar/blob/a23f021dae289a3d768dc099b220952111da04fd/examples/gpt-2/prepare_data.py#L46-L65 | ||
WPO-Foundation/wptagent | 94470f007294213f900dcd9a207678b5b9fce5d3 | internal/traffic_shaping.py | python | NetEm.apply | (self, target_id) | return | Stub for applying Chrome traffic-shaping | Stub for applying Chrome traffic-shaping | [
"Stub",
"for",
"applying",
"Chrome",
"traffic",
"-",
"shaping"
] | def apply(self, target_id):
"""Stub for applying Chrome traffic-shaping"""
return | [
"def",
"apply",
"(",
"self",
",",
"target_id",
")",
":",
"return"
] | https://github.com/WPO-Foundation/wptagent/blob/94470f007294213f900dcd9a207678b5b9fce5d3/internal/traffic_shaping.py#L629-L631 | |
twilio/twilio-python | 6e1e811ea57a1edfadd5161ace87397c563f6915 | twilio/rest/api/v2010/account/incoming_phone_number/assigned_add_on/__init__.py | python | AssignedAddOnInstance.unique_name | (self) | return self._properties['unique_name'] | :returns: An application-defined string that uniquely identifies the resource
:rtype: unicode | :returns: An application-defined string that uniquely identifies the resource
:rtype: unicode | [
":",
"returns",
":",
"An",
"application",
"-",
"defined",
"string",
"that",
"uniquely",
"identifies",
"the",
"resource",
":",
"rtype",
":",
"unicode"
] | def unique_name(self):
"""
:returns: An application-defined string that uniquely identifies the resource
:rtype: unicode
"""
return self._properties['unique_name'] | [
"def",
"unique_name",
"(",
"self",
")",
":",
"return",
"self",
".",
"_properties",
"[",
"'unique_name'",
"]"
] | https://github.com/twilio/twilio-python/blob/6e1e811ea57a1edfadd5161ace87397c563f6915/twilio/rest/api/v2010/account/incoming_phone_number/assigned_add_on/__init__.py#L407-L412 | |
richq/folders2flickr | 0b735057dbf3c0ea132668af36d30ded52e7b6d9 | f2flickr/flickr.py | python | _get_api_sig | (params) | return api_signature | Generate API signature. | Generate API signature. | [
"Generate",
"API",
"signature",
"."
] | def _get_api_sig(params):
"""Generate API signature."""
token = userToken()
parameters = ['api_key', 'auth_token']
for item in params.items():
parameters.append(item[0])
parameters.sort()
api_string = [API_SECRET]
for item in parameters:
for chocolate in params.items():
... | [
"def",
"_get_api_sig",
"(",
"params",
")",
":",
"token",
"=",
"userToken",
"(",
")",
"parameters",
"=",
"[",
"'api_key'",
",",
"'auth_token'",
"]",
"for",
"item",
"in",
"params",
".",
"items",
"(",
")",
":",
"parameters",
".",
"append",
"(",
"item",
"[... | https://github.com/richq/folders2flickr/blob/0b735057dbf3c0ea132668af36d30ded52e7b6d9/f2flickr/flickr.py#L1272-L1296 | |
buke/GreenOdoo | 3d8c55d426fb41fdb3f2f5a1533cfe05983ba1df | runtime/python/lib/python2.7/site-packages/docutils/utils/math/math2html.py | python | FormulaCommand.parsewithcommand | (self, command, pos) | return None | Parse the command type once we have the command. | Parse the command type once we have the command. | [
"Parse",
"the",
"command",
"type",
"once",
"we",
"have",
"the",
"command",
"."
] | def parsewithcommand(self, command, pos):
"Parse the command type once we have the command."
for type in FormulaCommand.types:
if command in type.commandmap:
return self.parsecommandtype(command, type, pos)
return None | [
"def",
"parsewithcommand",
"(",
"self",
",",
"command",
",",
"pos",
")",
":",
"for",
"type",
"in",
"FormulaCommand",
".",
"types",
":",
"if",
"command",
"in",
"type",
".",
"commandmap",
":",
"return",
"self",
".",
"parsecommandtype",
"(",
"command",
",",
... | https://github.com/buke/GreenOdoo/blob/3d8c55d426fb41fdb3f2f5a1533cfe05983ba1df/runtime/python/lib/python2.7/site-packages/docutils/utils/math/math2html.py#L3967-L3972 | |
fboender/ansible-cmdb | 3f3e412d2a7be91c97c5a1842f4e57cc85b06961 | lib/mako/template.py | python | Template.code | (self) | return _get_module_info_from_callable(self.callable_).code | Return the module source code for this :class:`.Template`. | Return the module source code for this :class:`.Template`. | [
"Return",
"the",
"module",
"source",
"code",
"for",
"this",
":",
"class",
":",
".",
"Template",
"."
] | def code(self):
"""Return the module source code for this :class:`.Template`."""
return _get_module_info_from_callable(self.callable_).code | [
"def",
"code",
"(",
"self",
")",
":",
"return",
"_get_module_info_from_callable",
"(",
"self",
".",
"callable_",
")",
".",
"code"
] | https://github.com/fboender/ansible-cmdb/blob/3f3e412d2a7be91c97c5a1842f4e57cc85b06961/lib/mako/template.py#L412-L415 | |
tomplus/kubernetes_asyncio | f028cc793e3a2c519be6a52a49fb77ff0b014c9b | kubernetes_asyncio/client/models/v1beta1_event.py | python | V1beta1Event.regarding | (self, regarding) | Sets the regarding of this V1beta1Event.
:param regarding: The regarding of this V1beta1Event. # noqa: E501
:type: V1ObjectReference | Sets the regarding of this V1beta1Event. | [
"Sets",
"the",
"regarding",
"of",
"this",
"V1beta1Event",
"."
] | def regarding(self, regarding):
"""Sets the regarding of this V1beta1Event.
:param regarding: The regarding of this V1beta1Event. # noqa: E501
:type: V1ObjectReference
"""
self._regarding = regarding | [
"def",
"regarding",
"(",
"self",
",",
"regarding",
")",
":",
"self",
".",
"_regarding",
"=",
"regarding"
] | https://github.com/tomplus/kubernetes_asyncio/blob/f028cc793e3a2c519be6a52a49fb77ff0b014c9b/kubernetes_asyncio/client/models/v1beta1_event.py#L396-L404 | ||
dimagi/commcare-hq | d67ff1d3b4c51fa050c19e60c3253a79d3452a39 | corehq/messaging/scheduling/forms.py | python | ConditionalAlertScheduleForm.update_start_date_type_choices | (self) | [] | def update_start_date_type_choices(self):
if (
self.is_system_admin or
self.initial.get('start_date_type') == self.START_DATE_FROM_VISIT_SCHEDULER
):
self.fields['start_date_type'].choices += [
(self.START_DATE_FROM_VISIT_SCHEDULER, _("A date from a vi... | [
"def",
"update_start_date_type_choices",
"(",
"self",
")",
":",
"if",
"(",
"self",
".",
"is_system_admin",
"or",
"self",
".",
"initial",
".",
"get",
"(",
"'start_date_type'",
")",
"==",
"self",
".",
"START_DATE_FROM_VISIT_SCHEDULER",
")",
":",
"self",
".",
"fi... | https://github.com/dimagi/commcare-hq/blob/d67ff1d3b4c51fa050c19e60c3253a79d3452a39/corehq/messaging/scheduling/forms.py#L2951-L2958 | ||||
uqfoundation/multiprocess | 028cc73f02655e6451d92e5147d19d8c10aebe50 | pypy3.6/multiprocess/connection.py | python | _ConnectionBase.closed | (self) | return self._handle is None | True if the connection is closed | True if the connection is closed | [
"True",
"if",
"the",
"connection",
"is",
"closed"
] | def closed(self):
"""True if the connection is closed"""
return self._handle is None | [
"def",
"closed",
"(",
"self",
")",
":",
"return",
"self",
".",
"_handle",
"is",
"None"
] | https://github.com/uqfoundation/multiprocess/blob/028cc73f02655e6451d92e5147d19d8c10aebe50/pypy3.6/multiprocess/connection.py#L157-L159 | |
golemhq/golem | 84f51478b169cdeab73fc7e2a22a64d0a2a29263 | golem/actions.py | python | verify_element_text_contains | (element, text) | Verify element contains text
Parameters:
element : element
text : value | Verify element contains text | [
"Verify",
"element",
"contains",
"text"
] | def verify_element_text_contains(element, text):
"""Verify element contains text
Parameters:
element : element
text : value
"""
element = browser.get_browser().find(element, timeout=0)
with _verify_step(f"Verify element {element.name} contains text '{text}'") as s:
s.error = f"expec... | [
"def",
"verify_element_text_contains",
"(",
"element",
",",
"text",
")",
":",
"element",
"=",
"browser",
".",
"get_browser",
"(",
")",
".",
"find",
"(",
"element",
",",
"timeout",
"=",
"0",
")",
"with",
"_verify_step",
"(",
"f\"Verify element {element.name} cont... | https://github.com/golemhq/golem/blob/84f51478b169cdeab73fc7e2a22a64d0a2a29263/golem/actions.py#L2125-L2135 | ||
open-mmlab/mmdetection3d | c7272063e818bcf33aebc498a017a95c8d065143 | tools/data_converter/waymo_converter.py | python | Waymo2KITTI.convert_range_image_to_point_cloud | (self,
frame,
range_images,
camera_projections,
range_image_top_pose,
ri_index=0) | return points, cp_points, intensity, elongation | Convert range images to point cloud.
Args:
frame (:obj:`Frame`): Open dataset frame.
range_images (dict): Mapping from laser_name to list of two
range images corresponding with two returns.
camera_projections (dict): Mapping from laser_name to list of two
... | Convert range images to point cloud. | [
"Convert",
"range",
"images",
"to",
"point",
"cloud",
"."
] | def convert_range_image_to_point_cloud(self,
frame,
range_images,
camera_projections,
range_image_top_pose,
... | [
"def",
"convert_range_image_to_point_cloud",
"(",
"self",
",",
"frame",
",",
"range_images",
",",
"camera_projections",
",",
"range_image_top_pose",
",",
"ri_index",
"=",
"0",
")",
":",
"calibrations",
"=",
"sorted",
"(",
"frame",
".",
"context",
".",
"laser_calib... | https://github.com/open-mmlab/mmdetection3d/blob/c7272063e818bcf33aebc498a017a95c8d065143/tools/data_converter/waymo_converter.py#L389-L495 | |
pyglet/pyglet | 2833c1df902ca81aeeffa786c12e7e87d402434b | pyglet/sprite.py | python | Sprite.rotation | (self) | return self._rotation | Clockwise rotation of the sprite, in degrees.
The sprite image will be rotated about its image's (anchor_x, anchor_y)
position.
:type: float | Clockwise rotation of the sprite, in degrees. | [
"Clockwise",
"rotation",
"of",
"the",
"sprite",
"in",
"degrees",
"."
] | def rotation(self):
"""Clockwise rotation of the sprite, in degrees.
The sprite image will be rotated about its image's (anchor_x, anchor_y)
position.
:type: float
"""
return self._rotation | [
"def",
"rotation",
"(",
"self",
")",
":",
"return",
"self",
".",
"_rotation"
] | https://github.com/pyglet/pyglet/blob/2833c1df902ca81aeeffa786c12e7e87d402434b/pyglet/sprite.py#L546-L554 | |
jesse-ai/jesse | 28759547138fbc76dff12741204833e39c93b083 | jesse/indicators/ichimoku_cloud_seq.py | python | ichimoku_cloud_seq | (candles: np.ndarray, conversion_line_period: int = 9, base_line_period: int = 26,
lagging_line_period: int = 52, displacement: int = 26,
sequential: bool = False) | Ichimoku Cloud
:param candles: np.ndarray
:param conversion_line_period: int - default: 9
:param base_line_period: int - default: 26
:param lagging_line_period: int - default: 52
:param displacement: - default: 26
:param sequential: bool - default: False
:return: IchimokuCloud | Ichimoku Cloud | [
"Ichimoku",
"Cloud"
] | def ichimoku_cloud_seq(candles: np.ndarray, conversion_line_period: int = 9, base_line_period: int = 26,
lagging_line_period: int = 52, displacement: int = 26,
sequential: bool = False) -> IchimokuCloud:
"""
Ichimoku Cloud
:param candles: np.ndarray
:param ... | [
"def",
"ichimoku_cloud_seq",
"(",
"candles",
":",
"np",
".",
"ndarray",
",",
"conversion_line_period",
":",
"int",
"=",
"9",
",",
"base_line_period",
":",
"int",
"=",
"26",
",",
"lagging_line_period",
":",
"int",
"=",
"52",
",",
"displacement",
":",
"int",
... | https://github.com/jesse-ai/jesse/blob/28759547138fbc76dff12741204833e39c93b083/jesse/indicators/ichimoku_cloud_seq.py#L14-L47 | ||
FairwindsOps/reckoner | 0acad4c3e02cf13c0983cc57d632400d7a826bd0 | reckoner/course.py | python | Course._set_chart_repository | (self, chart: dict) | _set_chart_repository will convert the string reference of a
repository into the dictionary configuration of that repository
or, if None, or if the string isn't in the repositories section,
it will leave it alone. | _set_chart_repository will convert the string reference of a
repository into the dictionary configuration of that repository
or, if None, or if the string isn't in the repositories section,
it will leave it alone. | [
"_set_chart_repository",
"will",
"convert",
"the",
"string",
"reference",
"of",
"a",
"repository",
"into",
"the",
"dictionary",
"configuration",
"of",
"that",
"repository",
"or",
"if",
"None",
"or",
"if",
"the",
"string",
"isn",
"t",
"in",
"the",
"repositories",... | def _set_chart_repository(self, chart: dict):
"""_set_chart_repository will convert the string reference of a
repository into the dictionary configuration of that repository
or, if None, or if the string isn't in the repositories section,
it will leave it alone."""
if isinstance(... | [
"def",
"_set_chart_repository",
"(",
"self",
",",
"chart",
":",
"dict",
")",
":",
"if",
"isinstance",
"(",
"chart",
".",
"get",
"(",
"'repository'",
",",
"None",
")",
",",
"str",
")",
"and",
"chart",
"[",
"'repository'",
"]",
"in",
"[",
"x",
".",
"na... | https://github.com/FairwindsOps/reckoner/blob/0acad4c3e02cf13c0983cc57d632400d7a826bd0/reckoner/course.py#L143-L150 | ||
OpenKMIP/PyKMIP | c0c980395660ea1b1a8009e97f17ab32d1100233 | kmip/pie/client.py | python | ProxyKmipClient.encrypt | (self, data, uid=None, cryptographic_parameters=None,
iv_counter_nonce=None) | Encrypt data using the specified encryption key and parameters.
Args:
data (bytes): The bytes to encrypt. Required.
uid (string): The unique ID of the encryption key to use.
Optional, defaults to None.
cryptographic_parameters (dict): A dictionary containing ... | Encrypt data using the specified encryption key and parameters. | [
"Encrypt",
"data",
"using",
"the",
"specified",
"encryption",
"key",
"and",
"parameters",
"."
] | def encrypt(self, data, uid=None, cryptographic_parameters=None,
iv_counter_nonce=None):
"""
Encrypt data using the specified encryption key and parameters.
Args:
data (bytes): The bytes to encrypt. Required.
uid (string): The unique ID of the encryption ... | [
"def",
"encrypt",
"(",
"self",
",",
"data",
",",
"uid",
"=",
"None",
",",
"cryptographic_parameters",
"=",
"None",
",",
"iv_counter_nonce",
"=",
"None",
")",
":",
"# Check input",
"if",
"not",
"isinstance",
"(",
"data",
",",
"six",
".",
"binary_type",
")",... | https://github.com/OpenKMIP/PyKMIP/blob/c0c980395660ea1b1a8009e97f17ab32d1100233/kmip/pie/client.py#L1193-L1297 | ||
CedricGuillemet/Imogen | ee417b42747ed5b46cb11b02ef0c3630000085b3 | bin/Lib/logging/__init__.py | python | Handler.setFormatter | (self, fmt) | Set the formatter for this handler. | Set the formatter for this handler. | [
"Set",
"the",
"formatter",
"for",
"this",
"handler",
"."
] | def setFormatter(self, fmt):
"""
Set the formatter for this handler.
"""
self.formatter = fmt | [
"def",
"setFormatter",
"(",
"self",
",",
"fmt",
")",
":",
"self",
".",
"formatter",
"=",
"fmt"
] | https://github.com/CedricGuillemet/Imogen/blob/ee417b42747ed5b46cb11b02ef0c3630000085b3/bin/Lib/logging/__init__.py#L910-L914 | ||
lohriialo/photoshop-scripting-python | 6b97da967a5d0a45e54f7c99631b29773b923f09 | api_reference/photoshop_2020.py | python | _GalleryBannerOptions.__iter__ | (self) | return win32com.client.util.Iterator(ob, None) | Return a Python iterator for this object | Return a Python iterator for this object | [
"Return",
"a",
"Python",
"iterator",
"for",
"this",
"object"
] | def __iter__(self):
"Return a Python iterator for this object"
try:
ob = self._oleobj_.InvokeTypes(-4,LCID,3,(13, 10),())
except pythoncom.error:
raise TypeError("This object does not support enumeration")
return win32com.client.util.Iterator(ob, None) | [
"def",
"__iter__",
"(",
"self",
")",
":",
"try",
":",
"ob",
"=",
"self",
".",
"_oleobj_",
".",
"InvokeTypes",
"(",
"-",
"4",
",",
"LCID",
",",
"3",
",",
"(",
"13",
",",
"10",
")",
",",
"(",
")",
")",
"except",
"pythoncom",
".",
"error",
":",
... | https://github.com/lohriialo/photoshop-scripting-python/blob/6b97da967a5d0a45e54f7c99631b29773b923f09/api_reference/photoshop_2020.py#L4899-L4905 | |
devstructure/blueprint | 574a9fc0dd3031c66970387f1105d8c89e61218f | blueprint/__init__.py | python | Blueprint.add_service_package | (self, manager, service, package_manager, *args) | Add package dependencies to a service resource. | Add package dependencies to a service resource. | [
"Add",
"package",
"dependencies",
"to",
"a",
"service",
"resource",
"."
] | def add_service_package(self, manager, service, package_manager, *args):
"""
Add package dependencies to a service resource.
"""
if 0 == len(args):
return
d = self.services[manager][service].setdefault('packages',
... | [
"def",
"add_service_package",
"(",
"self",
",",
"manager",
",",
"service",
",",
"package_manager",
",",
"*",
"args",
")",
":",
"if",
"0",
"==",
"len",
"(",
"args",
")",
":",
"return",
"d",
"=",
"self",
".",
"services",
"[",
"manager",
"]",
"[",
"serv... | https://github.com/devstructure/blueprint/blob/574a9fc0dd3031c66970387f1105d8c89e61218f/blueprint/__init__.py#L360-L369 | ||
exaile/exaile | a7b58996c5c15b3aa7b9975ac13ee8f784ef4689 | xlgui/widgets/dialogs.py | python | URIOpenDialog.do_uri_selected | (self, uri) | Destroys the dialog | Destroys the dialog | [
"Destroys",
"the",
"dialog"
] | def do_uri_selected(self, uri):
"""
Destroys the dialog
"""
self.destroy() | [
"def",
"do_uri_selected",
"(",
"self",
",",
"uri",
")",
":",
"self",
".",
"destroy",
"(",
")"
] | https://github.com/exaile/exaile/blob/a7b58996c5c15b3aa7b9975ac13ee8f784ef4689/xlgui/widgets/dialogs.py#L390-L394 | ||
zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_flaskbb/lib/python2.7/site-packages/sqlalchemy/dialects/oracle/cx_oracle.py | python | OracleDialect_cx_oracle.__init__ | (self,
auto_convert_lobs=True,
threaded=True,
coerce_to_unicode=False,
coerce_to_decimal=True,
arraysize=50,
**kwargs) | [] | def __init__(self,
auto_convert_lobs=True,
threaded=True,
coerce_to_unicode=False,
coerce_to_decimal=True,
arraysize=50,
**kwargs):
self._pop_deprecated_kwargs(kwargs)
OracleDialect.__init__(self, **k... | [
"def",
"__init__",
"(",
"self",
",",
"auto_convert_lobs",
"=",
"True",
",",
"threaded",
"=",
"True",
",",
"coerce_to_unicode",
"=",
"False",
",",
"coerce_to_decimal",
"=",
"True",
",",
"arraysize",
"=",
"50",
",",
"*",
"*",
"kwargs",
")",
":",
"self",
".... | https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_flaskbb/lib/python2.7/site-packages/sqlalchemy/dialects/oracle/cx_oracle.py#L624-L660 | ||||
spack/spack | 675210bd8bd1c5d32ad1cc83d898fb43b569ed74 | var/spack/repos/builtin/packages/tk/package.py | python | Tk.setup_run_environment | (self, env) | Set TK_LIBRARY to the directory containing tk.tcl.
For further info, see:
* https://www.tcl-lang.org/man/tcl/TkCmd/tkvars.htm | Set TK_LIBRARY to the directory containing tk.tcl. | [
"Set",
"TK_LIBRARY",
"to",
"the",
"directory",
"containing",
"tk",
".",
"tcl",
"."
] | def setup_run_environment(self, env):
"""Set TK_LIBRARY to the directory containing tk.tcl.
For further info, see:
* https://www.tcl-lang.org/man/tcl/TkCmd/tkvars.htm
"""
# When using tkinter from within spack provided python+tkinter,
# python will not be able to find T... | [
"def",
"setup_run_environment",
"(",
"self",
",",
"env",
")",
":",
"# When using tkinter from within spack provided python+tkinter,",
"# python will not be able to find Tk unless TK_LIBRARY is set.",
"env",
".",
"set",
"(",
"'TK_LIBRARY'",
",",
"os",
".",
"path",
".",
"dirnam... | https://github.com/spack/spack/blob/675210bd8bd1c5d32ad1cc83d898fb43b569ed74/var/spack/repos/builtin/packages/tk/package.py#L112-L121 | ||
home-assistant/core | 265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1 | homeassistant/components/eliqonline/sensor.py | python | async_setup_platform | (
hass: HomeAssistant,
config: ConfigType,
async_add_entities: AddEntitiesCallback,
discovery_info: DiscoveryInfoType | None = None,
) | Set up the ELIQ Online sensor. | Set up the ELIQ Online sensor. | [
"Set",
"up",
"the",
"ELIQ",
"Online",
"sensor",
"."
] | async def async_setup_platform(
hass: HomeAssistant,
config: ConfigType,
async_add_entities: AddEntitiesCallback,
discovery_info: DiscoveryInfoType | None = None,
) -> None:
"""Set up the ELIQ Online sensor."""
access_token = config.get(CONF_ACCESS_TOKEN)
name = config.get(CONF_NAME, DEFAULT... | [
"async",
"def",
"async_setup_platform",
"(",
"hass",
":",
"HomeAssistant",
",",
"config",
":",
"ConfigType",
",",
"async_add_entities",
":",
"AddEntitiesCallback",
",",
"discovery_info",
":",
"DiscoveryInfoType",
"|",
"None",
"=",
"None",
",",
")",
"->",
"None",
... | https://github.com/home-assistant/core/blob/265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1/homeassistant/components/eliqonline/sensor.py#L44-L65 | ||
minio/minio-py | b3ba3bf99fe6b9ff2b28855550d6ab5345c134e3 | minio/commonconfig.py | python | AndOperator.prefix | (self) | return self._prefix | Get prefix. | Get prefix. | [
"Get",
"prefix",
"."
] | def prefix(self):
"""Get prefix."""
return self._prefix | [
"def",
"prefix",
"(",
"self",
")",
":",
"return",
"self",
".",
"_prefix"
] | https://github.com/minio/minio-py/blob/b3ba3bf99fe6b9ff2b28855550d6ab5345c134e3/minio/commonconfig.py#L138-L140 | |
Kyubyong/transformer | fb023bb097e08d53baf25b46a9da490beba51a21 | tf1.2_legacy/modules.py | python | embedding | (inputs,
vocab_size,
num_units,
zero_pad=True,
scale=True,
scope="embedding",
reuse=None) | return outputs | Embeds a given tensor.
Args:
inputs: A `Tensor` with type `int32` or `int64` containing the ids
to be looked up in `lookup table`.
vocab_size: An int. Vocabulary size.
num_units: An int. Number of embedding hidden units.
zero_pad: A boolean. If True, all the values of the fist row ... | Embeds a given tensor. | [
"Embeds",
"a",
"given",
"tensor",
"."
] | def embedding(inputs,
vocab_size,
num_units,
zero_pad=True,
scale=True,
scope="embedding",
reuse=None):
'''Embeds a given tensor.
Args:
inputs: A `Tensor` with type `int32` or `int64` containing the ids
to b... | [
"def",
"embedding",
"(",
"inputs",
",",
"vocab_size",
",",
"num_units",
",",
"zero_pad",
"=",
"True",
",",
"scale",
"=",
"True",
",",
"scope",
"=",
"\"embedding\"",
",",
"reuse",
"=",
"None",
")",
":",
"with",
"tf",
".",
"variable_scope",
"(",
"scope",
... | https://github.com/Kyubyong/transformer/blob/fb023bb097e08d53baf25b46a9da490beba51a21/tf1.2_legacy/modules.py#L41-L117 | |
spectralpython/spectral | e1cd919f5f66abddc219b76926450240feaaed8f | spectral/database/usgs.py | python | USGSDatabase.get_spectrum | (self, sampleID) | return (list(x), list(y)) | Returns a spectrum from the database.
Usage:
(x, y) = usgs.get_spectrum(sampleID)
Arguments:
`sampleID` (int):
The **SampleID** value for the desired spectrum from the
**Samples** table in the database.
Returns:
`x` (list... | Returns a spectrum from the database. | [
"Returns",
"a",
"spectrum",
"from",
"the",
"database",
"."
] | def get_spectrum(self, sampleID):
'''Returns a spectrum from the database.
Usage:
(x, y) = usgs.get_spectrum(sampleID)
Arguments:
`sampleID` (int):
The **SampleID** value for the desired spectrum from the
**Samples** table in the datab... | [
"def",
"get_spectrum",
"(",
"self",
",",
"sampleID",
")",
":",
"import",
"array",
"query",
"=",
"'''SELECT ValuesArray, AssumedWLSpmeterDataID FROM Samples WHERE SampleID = ?'''",
"result",
"=",
"self",
".",
"cursor",
".",
"execute",
"(",
"query",
",",
"(",
"sampleID"... | https://github.com/spectralpython/spectral/blob/e1cd919f5f66abddc219b76926450240feaaed8f/spectral/database/usgs.py#L499-L544 | |
holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/sympy/stats/crv_types.py | python | Beta | (name, alpha, beta) | return rv(name, BetaDistribution, (alpha, beta)) | r"""
Create a Continuous Random Variable with a Beta distribution.
The density of the Beta distribution is given by
.. math::
f(x) := \frac{x^{\alpha-1}(1-x)^{\beta-1}} {\mathrm{B}(\alpha,\beta)}
with :math:`x \in [0,1]`.
Parameters
==========
alpha : Real number, `\alpha > 0`, ... | r"""
Create a Continuous Random Variable with a Beta distribution. | [
"r",
"Create",
"a",
"Continuous",
"Random",
"Variable",
"with",
"a",
"Beta",
"distribution",
"."
] | def Beta(name, alpha, beta):
r"""
Create a Continuous Random Variable with a Beta distribution.
The density of the Beta distribution is given by
.. math::
f(x) := \frac{x^{\alpha-1}(1-x)^{\beta-1}} {\mathrm{B}(\alpha,\beta)}
with :math:`x \in [0,1]`.
Parameters
==========
al... | [
"def",
"Beta",
"(",
"name",
",",
"alpha",
",",
"beta",
")",
":",
"return",
"rv",
"(",
"name",
",",
"BetaDistribution",
",",
"(",
"alpha",
",",
"beta",
")",
")"
] | https://github.com/holzschu/Carnets/blob/44effb10ddfc6aa5c8b0687582a724ba82c6b547/Library/lib/python3.7/site-packages/sympy/stats/crv_types.py#L355-L410 | |
SeldonIO/alibi-detect | b5ec53cfadcd8e3463d400259f2ea1b752ed1812 | alibi_detect/utils/saving.py | python | load_tf_hl | (filepath: Union[str, os.PathLike], model: tf.keras.Model, state_dict: dict) | return model_hl | Load hidden layer models for AdversarialAE.
Parameters
----------
filepath
Saved model directory.
model
tf.keras classification model.
state_dict
Dictionary containing the detector's parameters.
Returns
-------
List with loaded tf.keras models. | Load hidden layer models for AdversarialAE. | [
"Load",
"hidden",
"layer",
"models",
"for",
"AdversarialAE",
"."
] | def load_tf_hl(filepath: Union[str, os.PathLike], model: tf.keras.Model, state_dict: dict) -> List[tf.keras.Model]:
"""
Load hidden layer models for AdversarialAE.
Parameters
----------
filepath
Saved model directory.
model
tf.keras classification model.
state_dict
D... | [
"def",
"load_tf_hl",
"(",
"filepath",
":",
"Union",
"[",
"str",
",",
"os",
".",
"PathLike",
"]",
",",
"model",
":",
"tf",
".",
"keras",
".",
"Model",
",",
"state_dict",
":",
"dict",
")",
"->",
"List",
"[",
"tf",
".",
"keras",
".",
"Model",
"]",
"... | https://github.com/SeldonIO/alibi-detect/blob/b5ec53cfadcd8e3463d400259f2ea1b752ed1812/alibi_detect/utils/saving.py#L1089-L1115 | |
deluge-torrent/deluge | 2316088f5c0dd6cb044d9d4832fa7d56dcc79cdc | deluge/core/rpcserver.py | python | RPCServer.emit_event | (self, event) | Emits the event to interested clients.
:param event: the event to emit
:type event: :class:`deluge.event.DelugeEvent` | Emits the event to interested clients. | [
"Emits",
"the",
"event",
"to",
"interested",
"clients",
"."
] | def emit_event(self, event):
"""
Emits the event to interested clients.
:param event: the event to emit
:type event: :class:`deluge.event.DelugeEvent`
"""
log.debug('intevents: %s', self.factory.interested_events)
# Find sessions interested in this event
... | [
"def",
"emit_event",
"(",
"self",
",",
"event",
")",
":",
"log",
".",
"debug",
"(",
"'intevents: %s'",
",",
"self",
".",
"factory",
".",
"interested_events",
")",
"# Find sessions interested in this event",
"for",
"session_id",
",",
"interest",
"in",
"self",
"."... | https://github.com/deluge-torrent/deluge/blob/2316088f5c0dd6cb044d9d4832fa7d56dcc79cdc/deluge/core/rpcserver.py#L527-L542 | ||
kexinyi/ns-vqa | df357618af224723acffb66a17ce3e94298642a7 | scene_parse/mask_rcnn/lib/utils/net.py | python | load_ckpt | (model, ckpt) | Load checkpoint | Load checkpoint | [
"Load",
"checkpoint"
] | def load_ckpt(model, ckpt):
"""Load checkpoint"""
mapping, _ = model.detectron_weight_mapping
state_dict = {}
for name in ckpt:
if mapping[name]:
state_dict[name] = ckpt[name]
model.load_state_dict(state_dict, strict=False) | [
"def",
"load_ckpt",
"(",
"model",
",",
"ckpt",
")",
":",
"mapping",
",",
"_",
"=",
"model",
".",
"detectron_weight_mapping",
"state_dict",
"=",
"{",
"}",
"for",
"name",
"in",
"ckpt",
":",
"if",
"mapping",
"[",
"name",
"]",
":",
"state_dict",
"[",
"name... | https://github.com/kexinyi/ns-vqa/blob/df357618af224723acffb66a17ce3e94298642a7/scene_parse/mask_rcnn/lib/utils/net.py#L156-L163 | ||
gabrielfalcao/lettuce | f79d8f1bdbb119c423753dd958134fcef3995a93 | lettuce/fs.py | python | FileSystem.in_directory | (cls, *directories) | return decorator | Decorator to set the working directory around a function | Decorator to set the working directory around a function | [
"Decorator",
"to",
"set",
"the",
"working",
"directory",
"around",
"a",
"function"
] | def in_directory(cls, *directories):
"""Decorator to set the working directory around a function"""
def decorator(func):
@wraps(func)
def inner(*args, **kwargs):
cls.pushd(*directories)
try:
return func(*args, **kwargs)
... | [
"def",
"in_directory",
"(",
"cls",
",",
"*",
"directories",
")",
":",
"def",
"decorator",
"(",
"func",
")",
":",
"@",
"wraps",
"(",
"func",
")",
"def",
"inner",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"cls",
".",
"pushd",
"(",
"*",
... | https://github.com/gabrielfalcao/lettuce/blob/f79d8f1bdbb119c423753dd958134fcef3995a93/lettuce/fs.py#L253-L267 | |
alerta/alerta | eca06235a4402c39e3a446f0066557d3c8dc5afd | alerta/models/key.py | python | ApiKey.find_all | (query: Query = None, page: int = 1, page_size: int = 1000) | return [ApiKey.from_db(key) for key in db.get_keys(query, page, page_size)] | List all API keys. | List all API keys. | [
"List",
"all",
"API",
"keys",
"."
] | def find_all(query: Query = None, page: int = 1, page_size: int = 1000) -> List['ApiKey']:
"""
List all API keys.
"""
return [ApiKey.from_db(key) for key in db.get_keys(query, page, page_size)] | [
"def",
"find_all",
"(",
"query",
":",
"Query",
"=",
"None",
",",
"page",
":",
"int",
"=",
"1",
",",
"page_size",
":",
"int",
"=",
"1000",
")",
"->",
"List",
"[",
"'ApiKey'",
"]",
":",
"return",
"[",
"ApiKey",
".",
"from_db",
"(",
"key",
")",
"for... | https://github.com/alerta/alerta/blob/eca06235a4402c39e3a446f0066557d3c8dc5afd/alerta/models/key.py#L133-L137 | |
lxtGH/OctaveConv_pytorch | 079f7da29d55c2eeed8985d33f0b2f765d7a469e | libs/nn/resnet_srm.py | python | srm_resnet34 | (pretrained=False, **kwargs) | return model | Constructs a ResNet-34 model.
Args:
pretrained (bool): If True, returns a model pre-trained on ImageNet | Constructs a ResNet-34 model. | [
"Constructs",
"a",
"ResNet",
"-",
"34",
"model",
"."
] | def srm_resnet34(pretrained=False, **kwargs):
"""Constructs a ResNet-34 model.
Args:
pretrained (bool): If True, returns a model pre-trained on ImageNet
"""
model = ResNet(BasicBlock, [3, 4, 6, 3], **kwargs)
# if pretrained:
# model.load_state_dict(model_zoo.load_url(model_urls['res... | [
"def",
"srm_resnet34",
"(",
"pretrained",
"=",
"False",
",",
"*",
"*",
"kwargs",
")",
":",
"model",
"=",
"ResNet",
"(",
"BasicBlock",
",",
"[",
"3",
",",
"4",
",",
"6",
",",
"3",
"]",
",",
"*",
"*",
"kwargs",
")",
"# if pretrained:",
"# model.loa... | https://github.com/lxtGH/OctaveConv_pytorch/blob/079f7da29d55c2eeed8985d33f0b2f765d7a469e/libs/nn/resnet_srm.py#L238-L247 | |
convexengineering/gpkit | 3d4dd34ba4e95f1fe58fe9ea45401a6ff2fde1fa | gpkit/small_classes.py | python | _append_dict | (d_in, d_out) | return d_out | Recursively travels dict d_out and appends items found in d_in. | Recursively travels dict d_out and appends items found in d_in. | [
"Recursively",
"travels",
"dict",
"d_out",
"and",
"appends",
"items",
"found",
"in",
"d_in",
"."
] | def _append_dict(d_in, d_out):
"Recursively travels dict d_out and appends items found in d_in."
for k, v in d_in.items():
if isinstance(v, dict):
d_out[k] = _append_dict(v, d_out[k])
else:
try:
d_out[k].append(v)
except KeyError as e:
... | [
"def",
"_append_dict",
"(",
"d_in",
",",
"d_out",
")",
":",
"for",
"k",
",",
"v",
"in",
"d_in",
".",
"items",
"(",
")",
":",
"if",
"isinstance",
"(",
"v",
",",
"dict",
")",
":",
"d_out",
"[",
"k",
"]",
"=",
"_append_dict",
"(",
"v",
",",
"d_out... | https://github.com/convexengineering/gpkit/blob/3d4dd34ba4e95f1fe58fe9ea45401a6ff2fde1fa/gpkit/small_classes.py#L122-L133 | |
sethmlarson/virtualbox-python | 984a6e2cb0e8996f4df40f4444c1528849f1c70d | virtualbox/library.py | python | ISystemProperties.get_storage_controller_hotplug_capable | (self, controller_type) | return hotplug_capable | Returns whether the given storage controller supports
hot-plugging devices.
in controller_type of type :class:`StorageControllerType`
The storage controller to check the setting for.
return hotplug_capable of type bool
Returned flag indicating whether the controller is ... | Returns whether the given storage controller supports
hot-plugging devices. | [
"Returns",
"whether",
"the",
"given",
"storage",
"controller",
"supports",
"hot",
"-",
"plugging",
"devices",
"."
] | def get_storage_controller_hotplug_capable(self, controller_type):
"""Returns whether the given storage controller supports
hot-plugging devices.
in controller_type of type :class:`StorageControllerType`
The storage controller to check the setting for.
return hotplug_capabl... | [
"def",
"get_storage_controller_hotplug_capable",
"(",
"self",
",",
"controller_type",
")",
":",
"if",
"not",
"isinstance",
"(",
"controller_type",
",",
"StorageControllerType",
")",
":",
"raise",
"TypeError",
"(",
"\"controller_type can only be an instance of type StorageCont... | https://github.com/sethmlarson/virtualbox-python/blob/984a6e2cb0e8996f4df40f4444c1528849f1c70d/virtualbox/library.py#L21150-L21168 | |
meduza-corp/interstellar | 40a801ccd7856491726f5a126621d9318cabe2e1 | gsutil/gslib/commands/rsync.py | python | _FieldedListingIterator | (cls, gsutil_api, base_url_str, desc) | Iterator over base_url_str formatting output per _BuildTmpOutputLine.
Args:
cls: Command instance.
gsutil_api: gsutil Cloud API instance to use for bucket listing.
base_url_str: The top-level URL string over which to iterate.
desc: 'source' or 'destination'.
Yields:
Output line formatted per _... | Iterator over base_url_str formatting output per _BuildTmpOutputLine. | [
"Iterator",
"over",
"base_url_str",
"formatting",
"output",
"per",
"_BuildTmpOutputLine",
"."
] | def _FieldedListingIterator(cls, gsutil_api, base_url_str, desc):
"""Iterator over base_url_str formatting output per _BuildTmpOutputLine.
Args:
cls: Command instance.
gsutil_api: gsutil Cloud API instance to use for bucket listing.
base_url_str: The top-level URL string over which to iterate.
desc... | [
"def",
"_FieldedListingIterator",
"(",
"cls",
",",
"gsutil_api",
",",
"base_url_str",
",",
"desc",
")",
":",
"if",
"cls",
".",
"recursion_requested",
":",
"wildcard",
"=",
"'%s/**'",
"%",
"base_url_str",
".",
"rstrip",
"(",
"'/\\\\'",
")",
"else",
":",
"wild... | https://github.com/meduza-corp/interstellar/blob/40a801ccd7856491726f5a126621d9318cabe2e1/gsutil/gslib/commands/rsync.py#L426-L475 | ||
spack/spack | 675210bd8bd1c5d32ad1cc83d898fb43b569ed74 | lib/spack/spack/package.py | python | PackageBase.apply_macos_rpath_fixups | (self) | On Darwin, make installed libraries more easily relocatable.
Some build systems (handrolled, autotools, makefiles) can set their own
rpaths that are duplicated by spack's compiler wrapper. This fixup
interrogates, and postprocesses if necessary, all libraries installed
by the code.
... | On Darwin, make installed libraries more easily relocatable. | [
"On",
"Darwin",
"make",
"installed",
"libraries",
"more",
"easily",
"relocatable",
"."
] | def apply_macos_rpath_fixups(self):
"""On Darwin, make installed libraries more easily relocatable.
Some build systems (handrolled, autotools, makefiles) can set their own
rpaths that are duplicated by spack's compiler wrapper. This fixup
interrogates, and postprocesses if necessary, al... | [
"def",
"apply_macos_rpath_fixups",
"(",
"self",
")",
":",
"if",
"'platform=darwin'",
"not",
"in",
"self",
".",
"spec",
":",
"return",
"from",
"spack",
".",
"relocate",
"import",
"fixup_macos_rpaths",
"fixup_macos_rpaths",
"(",
"self",
".",
"spec",
")"
] | https://github.com/spack/spack/blob/675210bd8bd1c5d32ad1cc83d898fb43b569ed74/lib/spack/spack/package.py#L1972-L1987 | ||
linhaow/TextClassify | aa479ae0941c008602631c50124d8c07d159bfb1 | hubconfs/transformer_xl_hubconf.py | python | transformerXLTokenizer | (*args, **kwargs) | return tokenizer | Instantiate a Transformer-XL tokenizer adapted from Vocab class in https://github.com/kimiyoung/transformer-xl
Args:
pretrained_model_name_or_path: Path to pretrained model archive
or one of pre-trained vocab configs below.
* transfo-xl-... | Instantiate a Transformer-XL tokenizer adapted from Vocab class in https://github.com/kimiyoung/transformer-xl | [
"Instantiate",
"a",
"Transformer",
"-",
"XL",
"tokenizer",
"adapted",
"from",
"Vocab",
"class",
"in",
"https",
":",
"//",
"github",
".",
"com",
"/",
"kimiyoung",
"/",
"transformer",
"-",
"xl"
] | def transformerXLTokenizer(*args, **kwargs):
"""
Instantiate a Transformer-XL tokenizer adapted from Vocab class in https://github.com/kimiyoung/transformer-xl
Args:
pretrained_model_name_or_path: Path to pretrained model archive
or one of pre-trained vocab configs be... | [
"def",
"transformerXLTokenizer",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"tokenizer",
"=",
"TransfoXLTokenizer",
".",
"from_pretrained",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
"return",
"tokenizer"
] | https://github.com/linhaow/TextClassify/blob/aa479ae0941c008602631c50124d8c07d159bfb1/hubconfs/transformer_xl_hubconf.py#L38-L56 | |
robotlearn/pyrobolearn | 9cd7c060723fda7d2779fa255ac998c2c82b8436 | pyrobolearn/tools/bridges/controllers/robots/bridge_controller_wheeled.py | python | BridgeControllerWheeledRobot.simulator | (self) | return self._robot.simulator | Return the simulator instance. | Return the simulator instance. | [
"Return",
"the",
"simulator",
"instance",
"."
] | def simulator(self):
"""Return the simulator instance."""
return self._robot.simulator | [
"def",
"simulator",
"(",
"self",
")",
":",
"return",
"self",
".",
"_robot",
".",
"simulator"
] | https://github.com/robotlearn/pyrobolearn/blob/9cd7c060723fda7d2779fa255ac998c2c82b8436/pyrobolearn/tools/bridges/controllers/robots/bridge_controller_wheeled.py#L96-L98 | |
firedrakeproject/firedrake | 06ab4975c14c0d4dcb79be55821f8b9e41554125 | firedrake/utility_meshes.py | python | PeriodicUnitIntervalMesh | (ncells, distribution_parameters=None, comm=COMM_WORLD) | return PeriodicIntervalMesh(ncells, length=1.0, distribution_parameters=distribution_parameters, comm=comm) | Generate a periodic mesh of the unit interval
:arg ncells: The number of cells in the interval.
:kwarg comm: Optional communicator to build the mesh on (defaults to
COMM_WORLD). | Generate a periodic mesh of the unit interval | [
"Generate",
"a",
"periodic",
"mesh",
"of",
"the",
"unit",
"interval"
] | def PeriodicUnitIntervalMesh(ncells, distribution_parameters=None, comm=COMM_WORLD):
"""Generate a periodic mesh of the unit interval
:arg ncells: The number of cells in the interval.
:kwarg comm: Optional communicator to build the mesh on (defaults to
COMM_WORLD).
"""
return PeriodicInterv... | [
"def",
"PeriodicUnitIntervalMesh",
"(",
"ncells",
",",
"distribution_parameters",
"=",
"None",
",",
"comm",
"=",
"COMM_WORLD",
")",
":",
"return",
"PeriodicIntervalMesh",
"(",
"ncells",
",",
"length",
"=",
"1.0",
",",
"distribution_parameters",
"=",
"distribution_pa... | https://github.com/firedrakeproject/firedrake/blob/06ab4975c14c0d4dcb79be55821f8b9e41554125/firedrake/utility_meshes.py#L152-L159 | |
osmr/imgclsmob | f2993d3ce73a2f7ddba05da3891defb08547d504 | pytorch/pytorchcv/models/hrnet.py | python | get_hrnet | (version,
model_name=None,
pretrained=False,
root=os.path.join("~", ".torch", "models"),
**kwargs) | return net | Create HRNet model with specific parameters.
Parameters:
----------
version : str
Version of MobileNetV3 ('s' or 'm').
model_name : str or None, default None
Model name for loading pretrained model.
pretrained : bool, default False
Whether to load the pretrained weights for ... | Create HRNet model with specific parameters. | [
"Create",
"HRNet",
"model",
"with",
"specific",
"parameters",
"."
] | def get_hrnet(version,
model_name=None,
pretrained=False,
root=os.path.join("~", ".torch", "models"),
**kwargs):
"""
Create HRNet model with specific parameters.
Parameters:
----------
version : str
Version of MobileNetV3 ('s' or 'm').... | [
"def",
"get_hrnet",
"(",
"version",
",",
"model_name",
"=",
"None",
",",
"pretrained",
"=",
"False",
",",
"root",
"=",
"os",
".",
"path",
".",
"join",
"(",
"\"~\"",
",",
"\".torch\"",
",",
"\"models\"",
")",
",",
"*",
"*",
"kwargs",
")",
":",
"if",
... | https://github.com/osmr/imgclsmob/blob/f2993d3ce73a2f7ddba05da3891defb08547d504/pytorch/pytorchcv/models/hrnet.py#L381-L467 | |
xmengli/H-DenseUNet | 06cc436a43196310fe933d114a353839907cc176 | Keras-2.0.8/keras/engine/topology.py | python | Layer._node_key | (layer, node_index) | return layer.name + '_ib-' + str(node_index) | Converts a layer and its index to a unique (immutable type) name.
This function is used internally with `self.container_nodes`.
# Arguments
layer: The layer.
node_index: The layer's position (e.g. via enumerate) in a list of
nodes.
# Returns
... | Converts a layer and its index to a unique (immutable type) name.
This function is used internally with `self.container_nodes`. | [
"Converts",
"a",
"layer",
"and",
"its",
"index",
"to",
"a",
"unique",
"(",
"immutable",
"type",
")",
"name",
".",
"This",
"function",
"is",
"used",
"internally",
"with",
"self",
".",
"container_nodes",
"."
] | def _node_key(layer, node_index):
"""Converts a layer and its index to a unique (immutable type) name.
This function is used internally with `self.container_nodes`.
# Arguments
layer: The layer.
node_index: The layer's position (e.g. via enumerate) in a list of
... | [
"def",
"_node_key",
"(",
"layer",
",",
"node_index",
")",
":",
"return",
"layer",
".",
"name",
"+",
"'_ib-'",
"+",
"str",
"(",
"node_index",
")"
] | https://github.com/xmengli/H-DenseUNet/blob/06cc436a43196310fe933d114a353839907cc176/Keras-2.0.8/keras/engine/topology.py#L314-L326 | |
pythonanywhere/dirigible-spreadsheet | c771e9a391708f3b219248bf9974e05b1582fdd0 | dirigible/sheet/parser/grammar.py | python | p_if_function | (p) | if_function : IF LEFTPAREN argument COMMA argument COMMA argument RIGHTPAREN
| IF LEFTPAREN argument COMMA argument COMMA RIGHTPAREN
| IF LEFTPAREN argument COMMA argument RIGHTPAREN | if_function : IF LEFTPAREN argument COMMA argument COMMA argument RIGHTPAREN
| IF LEFTPAREN argument COMMA argument COMMA RIGHTPAREN
| IF LEFTPAREN argument COMMA argument RIGHTPAREN | [
"if_function",
":",
"IF",
"LEFTPAREN",
"argument",
"COMMA",
"argument",
"COMMA",
"argument",
"RIGHTPAREN",
"|",
"IF",
"LEFTPAREN",
"argument",
"COMMA",
"argument",
"COMMA",
"RIGHTPAREN",
"|",
"IF",
"LEFTPAREN",
"argument",
"COMMA",
"argument",
"RIGHTPAREN"
] | def p_if_function(p):
"""if_function : IF LEFTPAREN argument COMMA argument COMMA argument RIGHTPAREN
| IF LEFTPAREN argument COMMA argument COMMA RIGHTPAREN
| IF LEFTPAREN argument COMMA argument RIGHTPAREN"""
FixFunction(p) | [
"def",
"p_if_function",
"(",
"p",
")",
":",
"FixFunction",
"(",
"p",
")"
] | https://github.com/pythonanywhere/dirigible-spreadsheet/blob/c771e9a391708f3b219248bf9974e05b1582fdd0/dirigible/sheet/parser/grammar.py#L774-L778 | ||
paulwinex/pw_MultiScriptEditor | e447e99f87cb07e238baf693b7e124e50efdbc51 | multi_script_editor/jedi/evaluate/representation.py | python | Function._decorated_func | (self) | return f | Returns the function, that is to be executed in the end.
This is also the places where the decorators are processed. | Returns the function, that is to be executed in the end.
This is also the places where the decorators are processed. | [
"Returns",
"the",
"function",
"that",
"is",
"to",
"be",
"executed",
"in",
"the",
"end",
".",
"This",
"is",
"also",
"the",
"places",
"where",
"the",
"decorators",
"are",
"processed",
"."
] | def _decorated_func(self):
"""
Returns the function, that is to be executed in the end.
This is also the places where the decorators are processed.
"""
f = self.base_func
# Only enter it, if has not already been processed.
if not self.is_decorated:
fo... | [
"def",
"_decorated_func",
"(",
"self",
")",
":",
"f",
"=",
"self",
".",
"base_func",
"# Only enter it, if has not already been processed.",
"if",
"not",
"self",
".",
"is_decorated",
":",
"for",
"dec",
"in",
"reversed",
"(",
"self",
".",
"base_func",
".",
"decora... | https://github.com/paulwinex/pw_MultiScriptEditor/blob/e447e99f87cb07e238baf693b7e124e50efdbc51/multi_script_editor/jedi/evaluate/representation.py#L340-L376 | |
pgq/skytools-legacy | 8b7e6c118572a605d28b7a3403c96aeecfd0d272 | python/londiste/playback.py | python | Replicator.sync_from_main_thread | (self, cnt, src_db, dst_db) | return ret | Main thread sync logic. | Main thread sync logic. | [
"Main",
"thread",
"sync",
"logic",
"."
] | def sync_from_main_thread(self, cnt, src_db, dst_db):
"Main thread sync logic."
# This operates on all table, any amount can be in any state
ret = SYNC_OK
if cnt.do_sync:
# wait for copy thread to catch up
ret = SYNC_LOOP
# we need to do wanna-sync->do... | [
"def",
"sync_from_main_thread",
"(",
"self",
",",
"cnt",
",",
"src_db",
",",
"dst_db",
")",
":",
"# This operates on all table, any amount can be in any state",
"ret",
"=",
"SYNC_OK",
"if",
"cnt",
".",
"do_sync",
":",
"# wait for copy thread to catch up",
"ret",
"=",
... | https://github.com/pgq/skytools-legacy/blob/8b7e6c118572a605d28b7a3403c96aeecfd0d272/python/londiste/playback.py#L455-L534 | |
Gandi/gandi.cli | 5de0605126247e986f8288b467a52710a78e1794 | gandi/cli/modules/webacc.py | python | Webacc.list | (cls, options=None) | return cls.call('hosting.rproxy.list', options) | List all webaccelerator | List all webaccelerator | [
"List",
"all",
"webaccelerator"
] | def list(cls, options=None):
""" List all webaccelerator """
if not options:
options = {}
return cls.call('hosting.rproxy.list', options) | [
"def",
"list",
"(",
"cls",
",",
"options",
"=",
"None",
")",
":",
"if",
"not",
"options",
":",
"options",
"=",
"{",
"}",
"return",
"cls",
".",
"call",
"(",
"'hosting.rproxy.list'",
",",
"options",
")"
] | https://github.com/Gandi/gandi.cli/blob/5de0605126247e986f8288b467a52710a78e1794/gandi/cli/modules/webacc.py#L23-L27 | |
KalleHallden/AutoTimer | 2d954216700c4930baa154e28dbddc34609af7ce | env/lib/python2.7/site-packages/pip/_internal/download.py | python | _copy_file | (filename, location, link) | [] | def _copy_file(filename, location, link):
copy = True
download_location = os.path.join(location, link.filename)
if os.path.exists(download_location):
response = ask_path_exists(
'The file %s exists. (i)gnore, (w)ipe, (b)ackup, (a)abort' %
display_path(download_location), ('i'... | [
"def",
"_copy_file",
"(",
"filename",
",",
"location",
",",
"link",
")",
":",
"copy",
"=",
"True",
"download_location",
"=",
"os",
".",
"path",
".",
"join",
"(",
"location",
",",
"link",
".",
"filename",
")",
"if",
"os",
".",
"path",
".",
"exists",
"... | https://github.com/KalleHallden/AutoTimer/blob/2d954216700c4930baa154e28dbddc34609af7ce/env/lib/python2.7/site-packages/pip/_internal/download.py#L866-L890 | ||||
googleads/google-ads-python | 2a1d6062221f6aad1992a6bcca0e7e4a93d2db86 | google/ads/googleads/v7/services/services/recommendation_service/transports/grpc.py | python | RecommendationServiceGrpcTransport.__init__ | (
self,
*,
host: str = "googleads.googleapis.com",
credentials: credentials.Credentials = None,
credentials_file: str = None,
scopes: Sequence[str] = None,
channel: grpc.Channel = None,
api_mtls_endpoint: str = None,
client_cert_source: Callable[[]... | Instantiate the transport.
Args:
host (Optional[str]):
The hostname to connect to.
credentials (Optional[google.auth.credentials.Credentials]): The
authorization credentials to attach to requests. These
credentials identify the applicatio... | Instantiate the transport. | [
"Instantiate",
"the",
"transport",
"."
] | def __init__(
self,
*,
host: str = "googleads.googleapis.com",
credentials: credentials.Credentials = None,
credentials_file: str = None,
scopes: Sequence[str] = None,
channel: grpc.Channel = None,
api_mtls_endpoint: str = None,
client_cert_source:... | [
"def",
"__init__",
"(",
"self",
",",
"*",
",",
"host",
":",
"str",
"=",
"\"googleads.googleapis.com\"",
",",
"credentials",
":",
"credentials",
".",
"Credentials",
"=",
"None",
",",
"credentials_file",
":",
"str",
"=",
"None",
",",
"scopes",
":",
"Sequence",... | https://github.com/googleads/google-ads-python/blob/2a1d6062221f6aad1992a6bcca0e7e4a93d2db86/google/ads/googleads/v7/services/services/recommendation_service/transports/grpc.py#L45-L173 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.