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google-research/rigl
f18abc7d82ae3acc6736068408a0186c9efa575c
rigl/experimental/jax/pruning/masked.py
python
_PerNeuronShuffle.__init__
(self, init_rng, sparsity)
Creates the per-neuron shuffle class, with initial RNG state. Args: init_rng: The initial random number generator state to use. sparsity: The per-layer sparsity of the mask (i.e. % of zeroes), 1.0 will mask all weights, while 0 will mask none.
Creates the per-neuron shuffle class, with initial RNG state.
[ "Creates", "the", "per", "-", "neuron", "shuffle", "class", "with", "initial", "RNG", "state", "." ]
def __init__(self, init_rng, sparsity): """Creates the per-neuron shuffle class, with initial RNG state. Args: init_rng: The initial random number generator state to use. sparsity: The per-layer sparsity of the mask (i.e. % of zeroes), 1.0 will mask all weights, while 0 will mask none. ...
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https://github.com/google-research/rigl/blob/f18abc7d82ae3acc6736068408a0186c9efa575c/rigl/experimental/jax/pruning/masked.py#L380-L389
facebookresearch/pytorch_GAN_zoo
b75dee40918caabb4fe7ec561522717bf096a8cb
models/trainer/DCGAN_trainer.py
python
DCGANTrainer.initModel
(self)
[]
def initModel(self): self.model = DCGAN(useGPU=self.useGPU, **vars(self.modelConfig))
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https://github.com/facebookresearch/pytorch_GAN_zoo/blob/b75dee40918caabb4fe7ec561522717bf096a8cb/models/trainer/DCGAN_trainer.py#L33-L35
biopython/biopython
2dd97e71762af7b046d7f7f8a4f1e38db6b06c86
Bio/SearchIO/HmmerIO/hmmer3_tab.py
python
Hmmer3TabWriter.write_file
(self, qresults)
return qresult_counter, hit_counter, hsp_counter, frag_counter
Write to the handle. Returns a tuple of how many QueryResult, Hit, and HSP objects were written.
Write to the handle.
[ "Write", "to", "the", "handle", "." ]
def write_file(self, qresults): """Write to the handle. Returns a tuple of how many QueryResult, Hit, and HSP objects were written. """ handle = self.handle qresult_counter, hit_counter, hsp_counter, frag_counter = 0, 0, 0, 0 try: first_qresult = next(qresu...
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https://github.com/biopython/biopython/blob/2dd97e71762af7b046d7f7f8a4f1e38db6b06c86/Bio/SearchIO/HmmerIO/hmmer3_tab.py#L222-L247
nansencenter/nansat
5700ec673fbf522c19b8dedcb01cc15f7cd29a6a
nansat/vrt.py
python
VRT.fix_global_metadata
(self, rm_metadata)
Remove unwanted global metadata and escape special characters
Remove unwanted global metadata and escape special characters
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def fix_global_metadata(self, rm_metadata): """Remove unwanted global metadata and escape special characters""" metadata = remove_keys(self.dataset.GetMetadata(), rm_metadata) # Apply escaping to metadata strings to preserve special characters (in XML/HTML format) metadata_escaped = {} ...
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https://github.com/nansencenter/nansat/blob/5700ec673fbf522c19b8dedcb01cc15f7cd29a6a/nansat/vrt.py#L801-L810
zhl2008/awd-platform
0416b31abea29743387b10b3914581fbe8e7da5e
web_flaskbb/lib/python2.7/site-packages/pkg_resources/_vendor/packaging/_structures.py
python
Infinity.__eq__
(self, other)
return isinstance(other, self.__class__)
[]
def __eq__(self, other): return isinstance(other, self.__class__)
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https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_flaskbb/lib/python2.7/site-packages/pkg_resources/_vendor/packaging/_structures.py#L21-L22
TencentCloud/tencentcloud-sdk-python
3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2
tencentcloud/tci/v20190318/models.py
python
ModifyLibraryResponse.__init__
(self)
r""" :param LibraryId: 人员库唯一标识符 :type LibraryId: str :param LibraryName: 人员库名称 :type LibraryName: str :param RequestId: 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str
r""" :param LibraryId: 人员库唯一标识符 :type LibraryId: str :param LibraryName: 人员库名称 :type LibraryName: str :param RequestId: 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str
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def __init__(self): r""" :param LibraryId: 人员库唯一标识符 :type LibraryId: str :param LibraryName: 人员库名称 :type LibraryName: str :param RequestId: 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。 :type RequestId: str """ self.LibraryId = None self.Libra...
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https://github.com/TencentCloud/tencentcloud-sdk-python/blob/3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2/tencentcloud/tci/v20190318/models.py#L3152-L3163
phonopy/phonopy
816586d0ba8177482ecf40e52f20cbdee2260d51
phonopy/api_phonopy.py
python
Phonopy._shape_supercell_matrix
(self, smat)
return shape_supercell_matrix(smat)
[]
def _shape_supercell_matrix(self, smat): return shape_supercell_matrix(smat)
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https://github.com/phonopy/phonopy/blob/816586d0ba8177482ecf40e52f20cbdee2260d51/phonopy/api_phonopy.py#L3543-L3544
openshift/openshift-tools
1188778e728a6e4781acf728123e5b356380fe6f
openshift/installer/vendored/openshift-ansible-3.10.0-0.29.0/roles/lib_openshift/library/oc_adm_policy_group.py
python
SecurityContextConstraints.groups
(self)
return self._groups
groups property getter
groups property getter
[ "groups", "property", "getter" ]
def groups(self): ''' groups property getter ''' if self._groups is None: self._groups = self.get_groups() return self._groups
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https://github.com/openshift/openshift-tools/blob/1188778e728a6e4781acf728123e5b356380fe6f/openshift/installer/vendored/openshift-ansible-3.10.0-0.29.0/roles/lib_openshift/library/oc_adm_policy_group.py#L1872-L1876
cournape/Bento
37de23d784407a7c98a4a15770ffc570d5f32d70
bento/private/version.py
python
NormalizedVersion.__eq__
(self, other)
return self.parts == other.parts
[]
def __eq__(self, other): if not isinstance(other, NormalizedVersion): self._cannot_compare(other) return self.parts == other.parts
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https://github.com/cournape/Bento/blob/37de23d784407a7c98a4a15770ffc570d5f32d70/bento/private/version.py#L197-L200
david8862/keras-YOLOv3-model-set
e9f0f94109430973525219e66eeafe8a2f51363d
common/backbones/shufflenet.py
python
ShuffleNet
(include_top=True, input_tensor=None, scale_factor=1.0, pooling=None, input_shape=None, groups=1, weights='imagenet', num_shuffle_units=[3, 7, 3], bottleneck_ratio=0.25, classes=1000, ...
return model
ShuffleNet implementation for Keras 2 ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, Jian Sun https://arxiv.org/pdf/1707.01083.pdf Note that only TensorFlow is supported for now, therefore it only works with the data format...
ShuffleNet implementation for Keras 2 ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, Jian Sun https://arxiv.org/pdf/1707.01083.pdf Note that only TensorFlow is supported for now, therefore it only works with the data format...
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def ShuffleNet(include_top=True, input_tensor=None, scale_factor=1.0, pooling=None, input_shape=None, groups=1, weights='imagenet', num_shuffle_units=[3, 7, 3], bottleneck_ratio=0.25, c...
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https://github.com/david8862/keras-YOLOv3-model-set/blob/e9f0f94109430973525219e66eeafe8a2f51363d/common/backbones/shufflenet.py#L23-L181
tp4a/teleport
1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad
server/www/packages/packages-darwin/x64/PIL/ImageDraw.py
python
_color_diff
(rgb1, rgb2)
return abs(rgb1[0]-rgb2[0]) + abs(rgb1[1]-rgb2[1]) + abs(rgb1[2]-rgb2[2])
Uses 1-norm distance to calculate difference between two rgb values.
Uses 1-norm distance to calculate difference between two rgb values.
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def _color_diff(rgb1, rgb2): """ Uses 1-norm distance to calculate difference between two rgb values. """ return abs(rgb1[0]-rgb2[0]) + abs(rgb1[1]-rgb2[1]) + abs(rgb1[2]-rgb2[2])
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https://github.com/tp4a/teleport/blob/1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad/server/www/packages/packages-darwin/x64/PIL/ImageDraw.py#L383-L387
intel/IntelSEAPI
7997a782fd3fa5621e275bd31060f9795564e6ca
runtool/exporters/DGML.py
python
DGML.get_targets
(self)
return [self.args.output + ".dgml"]
[]
def get_targets(self): return [self.args.output + ".dgml"]
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https://github.com/intel/IntelSEAPI/blob/7997a782fd3fa5621e275bd31060f9795564e6ca/runtool/exporters/DGML.py#L15-L16
pwnieexpress/pwn_plug_sources
1a23324f5dc2c3de20f9c810269b6a29b2758cad
src/wifitap/scapy.py
python
PacketListField.do_copy
(self, x)
return map(lambda p:p.copy(), x)
[]
def do_copy(self, x): return map(lambda p:p.copy(), x)
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https://github.com/pwnieexpress/pwn_plug_sources/blob/1a23324f5dc2c3de20f9c810269b6a29b2758cad/src/wifitap/scapy.py#L4029-L4030
boto/boto
b2a6f08122b2f1b89888d2848e730893595cd001
boto/gs/bucket.py
python
Bucket.set_def_xml_acl
(self, acl_str, headers=None)
return self.set_xml_acl(acl_str, '', headers, query_args=DEF_OBJ_ACL)
Sets a bucket's default ACL to an XML string. :type acl_str: string :param acl_str: A string containing the ACL XML. :type headers: dict :param headers: Additional headers to set during the request.
Sets a bucket's default ACL to an XML string.
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def set_def_xml_acl(self, acl_str, headers=None): """Sets a bucket's default ACL to an XML string. :type acl_str: string :param acl_str: A string containing the ACL XML. :type headers: dict :param headers: Additional headers to set during the request. """ return...
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https://github.com/boto/boto/blob/b2a6f08122b2f1b89888d2848e730893595cd001/boto/gs/bucket.py#L574-L584
twilio/twilio-python
6e1e811ea57a1edfadd5161ace87397c563f6915
twilio/rest/api/v2010/account/usage/record/__init__.py
python
RecordInstance.uri
(self)
return self._properties['uri']
:returns: The URI of the resource, relative to `https://api.twilio.com` :rtype: unicode
:returns: The URI of the resource, relative to `https://api.twilio.com` :rtype: unicode
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def uri(self): """ :returns: The URI of the resource, relative to `https://api.twilio.com` :rtype: unicode """ return self._properties['uri']
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https://github.com/twilio/twilio-python/blob/6e1e811ea57a1edfadd5161ace87397c563f6915/twilio/rest/api/v2010/account/usage/record/__init__.py#L687-L692
Bitmessage/PyBitmessage
97612b049e0453867d6d90aa628f8e7b007b4d85
src/network/tcp.py
python
TCPConnection.antiIntersectionDelay
(self, initial=False)
This is a defense against the so called intersection attacks. It is called when you notice peer is requesting non-existing objects, or right after the connection is established. It will estimate how long an object will take to propagate across the network, and skip processing "getdata" ...
This is a defense against the so called intersection attacks.
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def antiIntersectionDelay(self, initial=False): """ This is a defense against the so called intersection attacks. It is called when you notice peer is requesting non-existing objects, or right after the connection is established. It will estimate how long an object will take to ...
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https://github.com/Bitmessage/PyBitmessage/blob/97612b049e0453867d6d90aa628f8e7b007b4d85/src/network/tcp.py#L96-L127
Axelrod-Python/Axelrod
00e18323c1b1af74df873773e44f31e1b9a299c6
axelrod/strategy_transformers.py
python
mixed_reclassifier
(original_classifier, probability, m_player)
return original_classifier
Function to reclassify the strategy
Function to reclassify the strategy
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def mixed_reclassifier(original_classifier, probability, m_player): """Function to reclassify the strategy""" # If a single probability, player is passed if isinstance(probability, float) or isinstance(probability, int): m_player = [m_player] probability = [probability] if min(probabili...
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https://github.com/Axelrod-Python/Axelrod/blob/00e18323c1b1af74df873773e44f31e1b9a299c6/axelrod/strategy_transformers.py#L621-L638
google/grr
8ad8a4d2c5a93c92729206b7771af19d92d4f915
grr/server/grr_response_server/gui/api_labels_restricted_call_router.py
python
ApiLabelsRestrictedCallRouter.ListClientApprovals
(self, args, context=None)
return self.delegate.ListClientApprovals(args, context=context)
[]
def ListClientApprovals(self, args, context=None): # Everybody can list their own user client approvals. return self.delegate.ListClientApprovals(args, context=context)
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https://github.com/google/grr/blob/8ad8a4d2c5a93c92729206b7771af19d92d4f915/grr/server/grr_response_server/gui/api_labels_restricted_call_router.py#L265-L268
makelove/OpenCV-Python-Tutorial
e428d648f7aa50d6a0fb4f4d0fb1bd1a600fef41
cv-Tkinter-GUI/kivy-GUI/kivy_cv1.py
python
KivyCamera.__init__
(self, capture, fps, **kwargs)
[]
def __init__(self, capture, fps, **kwargs): super(KivyCamera, self).__init__(**kwargs) self.capture = capture Clock.schedule_interval(self.update, 1.0 / fps)
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https://github.com/makelove/OpenCV-Python-Tutorial/blob/e428d648f7aa50d6a0fb4f4d0fb1bd1a600fef41/cv-Tkinter-GUI/kivy-GUI/kivy_cv1.py#L27-L30
gkrizek/bash-lambda-layer
703b0ade8174022d44779d823172ab7ac33a5505
bin/docutils/utils/math/math2html.py
python
Newline.process
(self)
Process contents
Process contents
[ "Process", "contents" ]
def process(self): "Process contents" self.html = ['<br/>\n']
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https://github.com/gkrizek/bash-lambda-layer/blob/703b0ade8174022d44779d823172ab7ac33a5505/bin/docutils/utils/math/math2html.py#L3718-L3720
gpodder/mygpo
7a028ad621d05d4ca0d58fd22fb92656c8835e43
mygpo/search/index.py
python
search_podcasts
(query)
return results
Search for podcasts according to 'query
Search for podcasts according to 'query
[ "Search", "for", "podcasts", "according", "to", "query" ]
def search_podcasts(query): """Search for podcasts according to 'query'""" if is_query_too_short(query): logger.debug('Found no podcasts for "{query}". Query is too short', query=query) return Podcast.objects.none() logger.debug('Searching for "{query}" podcasts"', query=query) query =...
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https://github.com/gpodder/mygpo/blob/7a028ad621d05d4ca0d58fd22fb92656c8835e43/mygpo/search/index.py#L24-L50
n1nj4sec/pupy
a5d766ea81fdfe3bc2c38c9bdaf10e9b75af3b39
pupy/network/lib/rpc/core/protocol.py
python
Connection._handle_getattr
(self, oid, name)
return self._access_attr(oid, name, (), "_rpyc_getattr", "allow_getattr", getattr)
[]
def _handle_getattr(self, oid, name): return self._access_attr(oid, name, (), "_rpyc_getattr", "allow_getattr", getattr)
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https://github.com/n1nj4sec/pupy/blob/a5d766ea81fdfe3bc2c38c9bdaf10e9b75af3b39/pupy/network/lib/rpc/core/protocol.py#L662-L663
zhanghe06/python
a678ce38a3770c91ad12e617810bf9f5ccf7898b
fuck/pconline.py
python
get_link
(url, token)
return down_link
组装下载链接
组装下载链接
[ "组装下载链接" ]
def get_link(url, token): """ 组装下载链接 """ file_name = url.split('/')[-1] print file_name print token down_link = url.rstrip(file_name)+token+'/'+file_name print down_link return down_link
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https://github.com/zhanghe06/python/blob/a678ce38a3770c91ad12e617810bf9f5ccf7898b/fuck/pconline.py#L43-L52
sagemath/sage
f9b2db94f675ff16963ccdefba4f1a3393b3fe0d
src/sage/geometry/polyhedron/plot.py
python
Projection.tikz
(self, view=[0, 0, 1], angle=0, scale=1, edge_color='blue!95!black', facet_color='blue!95!black', opacity=0.8, vertex_color='green', axis=False)
r""" Return a string ``tikz_pic`` consisting of a tikz picture of ``self`` according to a projection ``view`` and an angle ``angle`` obtained via Jmol through the current state property. INPUT: - ``view`` - list (default: [0,0,1]) representing the rotation axis (see note below)...
r""" Return a string ``tikz_pic`` consisting of a tikz picture of ``self`` according to a projection ``view`` and an angle ``angle`` obtained via Jmol through the current state property.
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def tikz(self, view=[0, 0, 1], angle=0, scale=1, edge_color='blue!95!black', facet_color='blue!95!black', opacity=0.8, vertex_color='green', axis=False): r""" Return a string ``tikz_pic`` consisting of a tikz picture of ``self`` according to a projection ``view`` and an...
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https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/geometry/polyhedron/plot.py#L1181-L1309
SymbiFlow/prjxray
5349556bc2c230801d6df0cf11bccb9cfd171639
prjxray/tile_segbits.py
python
parsebit
(val)
return Bit( word_column=int(seg_word_column), word_bit=int(word_bit_n), isset=isset, )
Return "!012_23" => (12, 23, False)
Return "!012_23" => (12, 23, False)
[ "Return", "!012_23", "=", ">", "(", "12", "23", "False", ")" ]
def parsebit(val): '''Return "!012_23" => (12, 23, False)''' isset = True # Default is 0. Skip explicit call outs if val[0] == '!': isset = False val = val[1:] # 28_05 => 28, 05 parts = val.split('_') assert len(parts) == 2, val seg_word_column, word_bit_n = parts re...
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https://github.com/SymbiFlow/prjxray/blob/5349556bc2c230801d6df0cf11bccb9cfd171639/prjxray/tile_segbits.py#L41-L57
researchmm/tasn
5dba8ccc096cedc63913730eeea14a9647911129
tasn-mxnet/python/mxnet/symbol/symbol.py
python
Symbol.broadcast_like
(self, *args, **kwargs)
return op.broadcast_like(self, *args, **kwargs)
Convenience fluent method for :py:func:`broadcast_like`. The arguments are the same as for :py:func:`broadcast_like`, with this array as data.
Convenience fluent method for :py:func:`broadcast_like`.
[ "Convenience", "fluent", "method", "for", ":", "py", ":", "func", ":", "broadcast_like", "." ]
def broadcast_like(self, *args, **kwargs): """Convenience fluent method for :py:func:`broadcast_like`. The arguments are the same as for :py:func:`broadcast_like`, with this array as data. """ return op.broadcast_like(self, *args, **kwargs)
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https://github.com/researchmm/tasn/blob/5dba8ccc096cedc63913730eeea14a9647911129/tasn-mxnet/python/mxnet/symbol/symbol.py#L2018-L2024
miyakogi/pyppeteer
f5313d0e7f973c57ed31fa443cea1834e223a96c
pyppeteer/dialog.py
python
Dialog.accept
(self, promptText: str = '')
Accept the dialog. * ``promptText`` (str): A text to enter in prompt. If the dialog's type is not prompt, this does not cause any effect.
Accept the dialog.
[ "Accept", "the", "dialog", "." ]
async def accept(self, promptText: str = '') -> None: """Accept the dialog. * ``promptText`` (str): A text to enter in prompt. If the dialog's type is not prompt, this does not cause any effect. """ self._handled = True await self._client.send('Page.handleJavaScriptDia...
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https://github.com/miyakogi/pyppeteer/blob/f5313d0e7f973c57ed31fa443cea1834e223a96c/pyppeteer/dialog.py#L71-L81
AI-ON/Multitask-and-Transfer-Learning
31e0798d436e314ddbc64c4a6b935df1b2160e50
architectures/chainer/models/predictive_autoencoder.py
python
normalize_2d
(x)
return exp / denominator
[]
def normalize_2d(x): exp = F.exp(x[0]) sums = F.sum(F.sum(exp, axis=-1), axis=-1) expanded = F.expand_dims(F.expand_dims(sums, axis=-1), axis=-1) denominator = F.tile(expanded, (1, 160, 210)) return exp / denominator
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https://github.com/AI-ON/Multitask-and-Transfer-Learning/blob/31e0798d436e314ddbc64c4a6b935df1b2160e50/architectures/chainer/models/predictive_autoencoder.py#L247-L252
Tencent/bk-bcs-saas
2b437bf2f5fd5ce2078f7787c3a12df609f7679d
bcs-app/backend/container_service/clusters/views/node.py
python
NodeLabelQueryCreateViewSet.create_node_labels
(self, request, project_id)
return Response({"code": 0, "message": _("创建成功!")})
添加节点标签
添加节点标签
[ "添加节点标签" ]
def create_node_labels(self, request, project_id): """添加节点标签""" # 解析参数 node_id_list, node_label_info = self.get_create_label_params(request) # 校验label中key和value self.label_regex(node_label_info) # 获取数据库中节点的label # NOTE: 节点为正常状态时,才允许设置标签 project_node_info =...
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https://github.com/Tencent/bk-bcs-saas/blob/2b437bf2f5fd5ce2078f7787c3a12df609f7679d/bcs-app/backend/container_service/clusters/views/node.py#L725-L767
guildai/guildai
1665985a3d4d788efc1a3180ca51cc417f71ca78
guild/external/setuptools/command/sdist.py
python
sdist.make_distribution
(self)
Workaround for #516
Workaround for #516
[ "Workaround", "for", "#516" ]
def make_distribution(self): """ Workaround for #516 """ with self._remove_os_link(): orig.sdist.make_distribution(self)
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https://github.com/guildai/guildai/blob/1665985a3d4d788efc1a3180ca51cc417f71ca78/guild/external/setuptools/command/sdist.py#L73-L78
jython/frozen-mirror
b8d7aa4cee50c0c0fe2f4b235dd62922dd0f3f99
lib-python/2.7/hotshot/__init__.py
python
Profile.stop
(self)
Stop the profiler.
Stop the profiler.
[ "Stop", "the", "profiler", "." ]
def stop(self): """Stop the profiler.""" self._prof.stop()
[ "def", "stop", "(", "self", ")", ":", "self", ".", "_prof", ".", "stop", "(", ")" ]
https://github.com/jython/frozen-mirror/blob/b8d7aa4cee50c0c0fe2f4b235dd62922dd0f3f99/lib-python/2.7/hotshot/__init__.py#L38-L40
fossasia/x-mario-center
fe67afe28d995dcf4e2498e305825a4859566172
build/lib.linux-i686-2.7/softwarecenter/ui/gtk3/app.py
python
SoftwareCenterAppGtk3.show_available_packages
(self, packages)
Show packages given as arguments in the available_pane If the list of packages is only one element long show that, otherwise turn it into a comma seperated search
Show packages given as arguments in the available_pane If the list of packages is only one element long show that, otherwise turn it into a comma seperated search
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def show_available_packages(self, packages): """ Show packages given as arguments in the available_pane If the list of packages is only one element long show that, otherwise turn it into a comma seperated search """ try: search_text, app = parse_packages_args(...
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https://github.com/fossasia/x-mario-center/blob/fe67afe28d995dcf4e2498e305825a4859566172/build/lib.linux-i686-2.7/softwarecenter/ui/gtk3/app.py#L1324-L1350
NervanaSystems/ngraph-python
ac032c83c7152b615a9ad129d54d350f9d6a2986
ngraph/transformers/exop.py
python
TensorViewDecl.key
(self)
return self.tensor_description.parameter_key
Returns: A tuple unique to this view of the tensor.
Returns: A tuple unique to this view of the tensor.
[ "Returns", ":", "A", "tuple", "unique", "to", "this", "view", "of", "the", "tensor", "." ]
def key(self): """ Returns: A tuple unique to this view of the tensor. """ return self.tensor_description.parameter_key
[ "def", "key", "(", "self", ")", ":", "return", "self", ".", "tensor_description", ".", "parameter_key" ]
https://github.com/NervanaSystems/ngraph-python/blob/ac032c83c7152b615a9ad129d54d350f9d6a2986/ngraph/transformers/exop.py#L1175-L1180
Tautulli/Tautulli
2410eb33805aaac4bd1c5dad0f71e4f15afaf742
lib/html5lib/treebuilders/base.py
python
TreeBuilder.elementInActiveFormattingElements
(self, name)
return False
Check if an element exists between the end of the active formatting elements and the last marker. If it does, return it, else return false
Check if an element exists between the end of the active formatting elements and the last marker. If it does, return it, else return false
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def elementInActiveFormattingElements(self, name): """Check if an element exists between the end of the active formatting elements and the last marker. If it does, return it, else return false""" for item in self.activeFormattingElements[::-1]: # Check for Marker first becau...
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https://github.com/Tautulli/Tautulli/blob/2410eb33805aaac4bd1c5dad0f71e4f15afaf742/lib/html5lib/treebuilders/base.py#L269-L281
ducksboard/libsaas
615981a3336f65be9d51ae95a48aed9ad3bd1c3c
libsaas/services/bitbucket/issues.py
python
RepoIssues.filter
(self, filters)
return http.Request('GET', url), parsers.parse_json
Search through the issues applying filters. Look at https://confluence.atlassian.com/display/BITBUCKET/Issues to get a complete list of possible filters. :var filters: A dictionary of filters. Keys are strings corresponding to the filter names and values are ether string filter val...
Search through the issues applying filters.
[ "Search", "through", "the", "issues", "applying", "filters", "." ]
def filter(self, filters): """ Search through the issues applying filters. Look at https://confluence.atlassian.com/display/BITBUCKET/Issues to get a complete list of possible filters. :var filters: A dictionary of filters. Keys are strings corresponding to the filt...
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https://github.com/ducksboard/libsaas/blob/615981a3336f65be9d51ae95a48aed9ad3bd1c3c/libsaas/services/bitbucket/issues.py#L128-L157
openstack/cinder
23494a6d6c51451688191e1847a458f1d3cdcaa5
cinder/zonemanager/utils.py
python
get_formatted_wwn
(wwn_str)
Utility API that formats WWN to insert ':'.
Utility API that formats WWN to insert ':'.
[ "Utility", "API", "that", "formats", "WWN", "to", "insert", ":", "." ]
def get_formatted_wwn(wwn_str): """Utility API that formats WWN to insert ':'.""" if (len(wwn_str) != 16): return wwn_str.lower() else: return (':'.join([wwn_str[i:i + 2] for i in range(0, len(wwn_str), 2)])).lower()
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https://github.com/openstack/cinder/blob/23494a6d6c51451688191e1847a458f1d3cdcaa5/cinder/zonemanager/utils.py#L67-L73
ailabx/ailabx
4a8c701a3604bbc34157167224588041944ac1a2
codes/qlib-main/qlib/workflow/online/utils.py
python
OnlineToolR.get_online_tag
(self, recorder: Recorder)
return tags.get(self.ONLINE_KEY, self.OFFLINE_TAG)
Given a model recorder and return its online tag. Args: recorder (Recorder): an instance of recorder Returns: str: the online tag
Given a model recorder and return its online tag.
[ "Given", "a", "model", "recorder", "and", "return", "its", "online", "tag", "." ]
def get_online_tag(self, recorder: Recorder) -> str: """ Given a model recorder and return its online tag. Args: recorder (Recorder): an instance of recorder Returns: str: the online tag """ tags = recorder.list_tags() return tags.get(sel...
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https://github.com/ailabx/ailabx/blob/4a8c701a3604bbc34157167224588041944ac1a2/codes/qlib-main/qlib/workflow/online/utils.py#L118-L129
bruceyang2012/Face-detection-with-mobilenet-ssd
58fafb6e93d28531797aac1e9a4436730c8cee7c
keras_ssd_loss.py
python
SSDLoss.compute_loss
(self, y_true, y_pred)
return total_loss
Compute the loss of the SSD model prediction against the ground truth. Arguments: y_true (array): A Numpy array of shape `(batch_size, #boxes, #classes + 8)`, where `#boxes` is the total number of boxes that the model predicts per image. Be careful to make sure that ...
Compute the loss of the SSD model prediction against the ground truth.
[ "Compute", "the", "loss", "of", "the", "SSD", "model", "prediction", "against", "the", "ground", "truth", "." ]
def compute_loss(self, y_true, y_pred): ''' Compute the loss of the SSD model prediction against the ground truth. Arguments: y_true (array): A Numpy array of shape `(batch_size, #boxes, #classes + 8)`, where `#boxes` is the total number of boxes that the model predi...
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https://github.com/bruceyang2012/Face-detection-with-mobilenet-ssd/blob/58fafb6e93d28531797aac1e9a4436730c8cee7c/keras_ssd_loss.py#L101-L215
getting-things-gnome/gtg
4b02c43744b32a00facb98174f04ec5953bd055d
GTG/core/datastore.py
python
TaskSource.get_task_filter_for_backend
(self)
return lambda task: backend_filter(self.requester, task, {"tags": set(attached_tags)})
Filter that checks if the task should be stored in this backend. @returns function: a function that accepts a task and returns True/False whether the task should be stored or not
Filter that checks if the task should be stored in this backend.
[ "Filter", "that", "checks", "if", "the", "task", "should", "be", "stored", "in", "this", "backend", "." ]
def get_task_filter_for_backend(self): """ Filter that checks if the task should be stored in this backend. @returns function: a function that accepts a task and returns True/False whether the task should be stored or not """ def backend_filter(req, task, param...
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https://github.com/getting-things-gnome/gtg/blob/4b02c43744b32a00facb98174f04ec5953bd055d/GTG/core/datastore.py#L699-L726
kobiso/CBAM-keras
796ae9ea31253d87f46ac4908e94ad5d799fbdd5
models/.ipynb_checkpoints/mobilenets-checkpoint.py
python
_depthwise_conv_block
(inputs, pointwise_conv_filters, alpha, depth_multiplier=1, strides=(1, 1), block_id=1, attention_module=None)
return x
Adds a depthwise convolution block. A depthwise convolution block consists of a depthwise conv, batch normalization, relu6, pointwise convolution, batch normalization and relu6 activation. # Arguments inputs: Input tensor of shape `(rows, cols, channels)` (with `channels_last` data f...
Adds a depthwise convolution block. A depthwise convolution block consists of a depthwise conv, batch normalization, relu6, pointwise convolution, batch normalization and relu6 activation. # Arguments inputs: Input tensor of shape `(rows, cols, channels)` (with `channels_last` data f...
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def _depthwise_conv_block(inputs, pointwise_conv_filters, alpha, depth_multiplier=1, strides=(1, 1), block_id=1, attention_module=None): """Adds a depthwise convolution block. A depthwise convolution block consists of a depthwise conv, batch normalization, relu6, pointwise convolut...
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https://github.com/kobiso/CBAM-keras/blob/796ae9ea31253d87f46ac4908e94ad5d799fbdd5/models/.ipynb_checkpoints/mobilenets-checkpoint.py#L477-L546
microsoft/unilm
65f15af2a307ebb64cfb25adf54375b002e6fe8d
infoxlm/fairseq/fairseq/progress_bar.py
python
simple_progress_bar.print
(self, stats, tag='', step=None)
Print end-of-epoch stats.
Print end-of-epoch stats.
[ "Print", "end", "-", "of", "-", "epoch", "stats", "." ]
def print(self, stats, tag='', step=None): """Print end-of-epoch stats.""" postfix = self._str_pipes(self._format_stats(stats)) print('{} | {}'.format(self.prefix, postfix), flush=True)
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https://github.com/microsoft/unilm/blob/65f15af2a307ebb64cfb25adf54375b002e6fe8d/infoxlm/fairseq/fairseq/progress_bar.py#L194-L197
Yelp/mrjob
091572e87bc24cc64be40278dd0f5c3617c98d4b
mrjob/emr.py
python
EMRJobRunner.get_cluster_id
(self)
return self._cluster_id
Get the ID of the cluster our job is running on, or ``None``.
Get the ID of the cluster our job is running on, or ``None``.
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def get_cluster_id(self): """Get the ID of the cluster our job is running on, or ``None``.""" return self._cluster_id
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https://github.com/Yelp/mrjob/blob/091572e87bc24cc64be40278dd0f5c3617c98d4b/mrjob/emr.py#L2388-L2390
Komodo/KomodoEdit
61edab75dce2bdb03943b387b0608ea36f548e8e
contrib/paramiko/paramiko/transport.py
python
Transport.open_channel
(self, kind, dest_addr=None, src_addr=None, window_size=None, max_packet_size=None, timeout=None)
Request a new channel to the server. `Channels <.Channel>` are socket-like objects used for the actual transfer of data across the session. You may only request a channel after negotiating encryption (using `connect` or `start_client`) and authenticating. .. note:: Modifying the the win...
Request a new channel to the server. `Channels <.Channel>` are socket-like objects used for the actual transfer of data across the session. You may only request a channel after negotiating encryption (using `connect` or `start_client`) and authenticating.
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def open_channel(self, kind, dest_addr=None, src_addr=None, window_size=None, max_packet_size=None, timeout=None): """ Request a new channel to the server. `Channels <.Channel>` ...
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https://github.com/Komodo/KomodoEdit/blob/61edab75dce2bdb03943b387b0608ea36f548e8e/contrib/paramiko/paramiko/transport.py#L746-L836
AppScale/gts
46f909cf5dc5ba81faf9d81dc9af598dcf8a82a9
AppTaskQueue/appscale/taskqueue/queue.py
python
PostgresPullQueue.get_task
(self, task, omit_payload=False)
return self._task_from_row(columns, row, id=task.id)
Gets a task from the queue. Args: task: A Task object. omit_payload: A boolean indicating that the payload should not be fetched. Returns: A task object or None.
Gets a task from the queue.
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def get_task(self, task, omit_payload=False): """ Gets a task from the queue. Args: task: A Task object. omit_payload: A boolean indicating that the payload should not be fetched. Returns: A task object or None. """ if omit_payload: columns = ['task_name', 'time_enqu...
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https://github.com/AppScale/gts/blob/46f909cf5dc5ba81faf9d81dc9af598dcf8a82a9/AppTaskQueue/appscale/taskqueue/queue.py#L313-L345
andresriancho/w3af
cd22e5252243a87aaa6d0ddea47cf58dacfe00a9
w3af/core/ui/gui/tools/proxywin.py
python
ProxiedRequests.reload_options
(self)
Reload options. 1. Stop proxy 2. Try to start proxy with new params 3. If can't => alert 4. If everything is ok then start proxy 5. Set Trap options 6. Save options
Reload options. 1. Stop proxy 2. Try to start proxy with new params 3. If can't => alert 4. If everything is ok then start proxy 5. Set Trap options 6. Save options
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def reload_options(self): """Reload options. 1. Stop proxy 2. Try to start proxy with new params 3. If can't => alert 4. If everything is ok then start proxy 5. Set Trap options 6. Save options """ new_port = self.pref.get_v...
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https://github.com/andresriancho/w3af/blob/cd22e5252243a87aaa6d0ddea47cf58dacfe00a9/w3af/core/ui/gui/tools/proxywin.py#L238-L291
mathics/Mathics
318e06dea8f1c70758a50cb2f95c9900150e3a68
mathics/builtin/structure.py
python
Apply.apply_invalidlevel
(self, f, expr, ls, evaluation, options={})
Apply[f_, expr_, ls_, OptionsPattern[Apply]]
Apply[f_, expr_, ls_, OptionsPattern[Apply]]
[ "Apply", "[", "f_", "expr_", "ls_", "OptionsPattern", "[", "Apply", "]]" ]
def apply_invalidlevel(self, f, expr, ls, evaluation, options={}): "Apply[f_, expr_, ls_, OptionsPattern[Apply]]" evaluation.message("Apply", "level", ls)
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https://github.com/mathics/Mathics/blob/318e06dea8f1c70758a50cb2f95c9900150e3a68/mathics/builtin/structure.py#L434-L437
Trusted-AI/adversarial-robustness-toolbox
9fabffdbb92947efa1ecc5d825d634d30dfbaf29
art/attacks/evasion/pe_malware_attack.py
python
MalwareGDTensorFlow.check_valid_size
( self, y: np.ndarray, sample_sizes: np.ndarray, append_perturbation_size: np.ndarray, )
return adv_label_vector
Checks that we can append the l0 perturbation to the malware sample and not exceed the maximum file size. A new label vector with just the valid files indicated is created. :param y: Labels. :param sample_sizes: The size of the original file, before it was padded to the input size required by M...
Checks that we can append the l0 perturbation to the malware sample and not exceed the maximum file size. A new label vector with just the valid files indicated is created.
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def check_valid_size( self, y: np.ndarray, sample_sizes: np.ndarray, append_perturbation_size: np.ndarray, ) -> np.ndarray: """ Checks that we can append the l0 perturbation to the malware sample and not exceed the maximum file size. A new label vector with ju...
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https://github.com/Trusted-AI/adversarial-robustness-toolbox/blob/9fabffdbb92947efa1ecc5d825d634d30dfbaf29/art/attacks/evasion/pe_malware_attack.py#L170-L194
python/cpython
e13cdca0f5224ec4e23bdd04bb3120506964bc8b
Lib/importlib/metadata/__init__.py
python
distributions
(**kwargs)
return Distribution.discover(**kwargs)
Get all ``Distribution`` instances in the current environment. :return: An iterable of ``Distribution`` instances.
Get all ``Distribution`` instances in the current environment.
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def distributions(**kwargs): """Get all ``Distribution`` instances in the current environment. :return: An iterable of ``Distribution`` instances. """ return Distribution.discover(**kwargs)
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https://github.com/python/cpython/blob/e13cdca0f5224ec4e23bdd04bb3120506964bc8b/Lib/importlib/metadata/__init__.py#L956-L961
nitishsrivastava/deepnet
f4e4ff207923e01552c96038a1e2c29eb5d16160
eigenmat/eigenmat.py
python
EigenMatrix.overwrite
(self, array)
Overwrites self with array. 'array' should have a size smaller than that of the array used to initialize the EigenMatrix. The method will not throw an Exception just yet if this is not true. It will throw exceptions or behave in strange ways later on.
Overwrites self with array. 'array' should have a size smaller than that of the array used to initialize the EigenMatrix. The method will not throw an Exception just yet if this is not true. It will throw exceptions or behave in strange ways later on.
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def overwrite(self, array): """Overwrites self with array. 'array' should have a size smaller than that of the array used to initialize the EigenMatrix. The method will not throw an Exception just yet if this is not true. It will throw exceptions or behave in strange ways later on. """ ...
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https://github.com/nitishsrivastava/deepnet/blob/f4e4ff207923e01552c96038a1e2c29eb5d16160/eigenmat/eigenmat.py#L88-L99
XUSean0118/DVSNet
2b67d991ca13de0a1210fbfbab4ad68f8c2f193a
inference.py
python
get_arguments
()
return parser.parse_args()
Parse all the arguments provided from the CLI. Returns: A list of parsed arguments.
Parse all the arguments provided from the CLI. Returns: A list of parsed arguments.
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def get_arguments(): """Parse all the arguments provided from the CLI. Returns: A list of parsed arguments. """ parser = argparse.ArgumentParser(description="Dynamic Video Segmentation Network") parser.add_argument("--data_dir", type=str, default=DATA_DIRECTORY, he...
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https://github.com/XUSean0118/DVSNet/blob/2b67d991ca13de0a1210fbfbab4ad68f8c2f193a/inference.py#L29-L54
pallets/werkzeug
9efe8c00dcb2b6fc086961ba304729db01912652
src/werkzeug/datastructures.py
python
MultiDict.getlist
(self, key, type=None)
return result
Return the list of items for a given key. If that key is not in the `MultiDict`, the return value will be an empty list. Just like `get`, `getlist` accepts a `type` parameter. All items will be converted with the callable defined there. :param key: The key to be looked up. :pa...
Return the list of items for a given key. If that key is not in the `MultiDict`, the return value will be an empty list. Just like `get`, `getlist` accepts a `type` parameter. All items will be converted with the callable defined there.
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def getlist(self, key, type=None): """Return the list of items for a given key. If that key is not in the `MultiDict`, the return value will be an empty list. Just like `get`, `getlist` accepts a `type` parameter. All items will be converted with the callable defined there. :p...
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https://github.com/pallets/werkzeug/blob/9efe8c00dcb2b6fc086961ba304729db01912652/src/werkzeug/datastructures.py#L395-L419
TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
5bb97d7e3ffd913abddb4cfa7d78a1b4c868890e
tensorflow_dl_models/research/lfads/synth_data/synthetic_data_utils.py
python
spikify_data
(data_e, rng, dt=1.0, max_firing_rate=100)
return spikes_e
Apply spikes to a continuous dataset whose values are between 0.0 and 1.0 Args: data_e: nexamples length list of NxT trials dt: how often the data are sampled max_firing_rate: the firing rate that is associated with a value of 1.0 Returns: spikified_e: a list of length b of the data represented as s...
Apply spikes to a continuous dataset whose values are between 0.0 and 1.0 Args: data_e: nexamples length list of NxT trials dt: how often the data are sampled max_firing_rate: the firing rate that is associated with a value of 1.0 Returns: spikified_e: a list of length b of the data represented as s...
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def spikify_data(data_e, rng, dt=1.0, max_firing_rate=100): """ Apply spikes to a continuous dataset whose values are between 0.0 and 1.0 Args: data_e: nexamples length list of NxT trials dt: how often the data are sampled max_firing_rate: the firing rate that is associated with a value of 1.0 Returns...
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https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/5bb97d7e3ffd913abddb4cfa7d78a1b4c868890e/tensorflow_dl_models/research/lfads/synth_data/synthetic_data_utils.py#L128-L151
nosmokingbandit/watcher
dadacd21a5790ee609058a98a17fcc8954d24439
lib/sqlalchemy/orm/strategy_options.py
python
subqueryload
(loadopt, attr)
return loadopt.set_relationship_strategy(attr, {"lazy": "subquery"})
Indicate that the given attribute should be loaded using subquery eager loading. This function is part of the :class:`.Load` interface and supports both method-chained and standalone operation. examples:: # subquery-load the "orders" collection on "User" query(User).options(subquerylo...
Indicate that the given attribute should be loaded using subquery eager loading.
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def subqueryload(loadopt, attr): """Indicate that the given attribute should be loaded using subquery eager loading. This function is part of the :class:`.Load` interface and supports both method-chained and standalone operation. examples:: # subquery-load the "orders" collection on "User...
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https://github.com/nosmokingbandit/watcher/blob/dadacd21a5790ee609058a98a17fcc8954d24439/lib/sqlalchemy/orm/strategy_options.py#L770-L801
gem/oq-engine
1bdb88f3914e390abcbd285600bfd39477aae47c
openquake/calculators/base.py
python
create_gmf_data
(dstore, prim_imts, sec_imts=(), data=None)
Create and possibly populate the datasets in the gmf_data group
Create and possibly populate the datasets in the gmf_data group
[ "Create", "and", "possibly", "populate", "the", "datasets", "in", "the", "gmf_data", "group" ]
def create_gmf_data(dstore, prim_imts, sec_imts=(), data=None): """ Create and possibly populate the datasets in the gmf_data group """ oq = dstore['oqparam'] R = dstore['full_lt'].get_num_rlzs() M = len(prim_imts) n = 0 if data is None else len(data['sid']) items = [('sid', U32 if n == ...
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https://github.com/gem/oq-engine/blob/1bdb88f3914e390abcbd285600bfd39477aae47c/openquake/calculators/base.py#L1141-L1171
linxid/Machine_Learning_Study_Path
558e82d13237114bbb8152483977806fc0c222af
Machine Learning In Action/Chapter4-NaiveBayes/venv/Lib/site-packages/pip/_vendor/ipaddress.py
python
_BaseNetwork.hostmask
(self)
return x
[]
def hostmask(self): x = self._cache.get('hostmask') if x is None: x = self._address_class(int(self.netmask) ^ self._ALL_ONES) self._cache['hostmask'] = x return x
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https://github.com/linxid/Machine_Learning_Study_Path/blob/558e82d13237114bbb8152483977806fc0c222af/Machine Learning In Action/Chapter4-NaiveBayes/venv/Lib/site-packages/pip/_vendor/ipaddress.py#L826-L831
dropbox/dropbox-sdk-python
015437429be224732990041164a21a0501235db1
dropbox/base.py
python
DropboxBase.sharing_create_shared_link
(self, path, short_url=False, pending_upload=None)
return r
Create a shared link. If a shared link already exists for the given path, that link is returned. Previously, it was technically possible to break a shared link by moving or renaming the corresponding file or folder. In the future, this will no longer be the case, so your app shouldn't re...
Create a shared link. If a shared link already exists for the given path, that link is returned. Previously, it was technically possible to break a shared link by moving or renaming the corresponding file or folder. In the future, this will no longer be the case, so your app shouldn't re...
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def sharing_create_shared_link(self, path, short_url=False, pending_upload=None): """ Create a shared link. If a shared link already exists for the given path, that link is returned. Previous...
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https://github.com/dropbox/dropbox-sdk-python/blob/015437429be224732990041164a21a0501235db1/dropbox/base.py#L4071-L4109
cisco/mindmeld
809c36112e9ea8019fe29d54d136ca14eb4fd8db
mindmeld/system_entity_recognizer.py
python
SystemEntityRecognizer.load_from_app_path
(app_path)
If the application configuration is empty, we do not use Duckling. Otherwise, we return the Duckling recognizer with the URL defined in the application's config, default to the DEFAULT_DUCKLING_URL. Args: app_path (str): Application path Returns: (SystemEnt...
If the application configuration is empty, we do not use Duckling.
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def load_from_app_path(app_path): """If the application configuration is empty, we do not use Duckling. Otherwise, we return the Duckling recognizer with the URL defined in the application's config, default to the DEFAULT_DUCKLING_URL. Args: app_path (str): Application ...
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https://github.com/cisco/mindmeld/blob/809c36112e9ea8019fe29d54d136ca14eb4fd8db/mindmeld/system_entity_recognizer.py#L118-L139
Delta-ML/delta
31dfebc8f20b7cb282b62f291ff25a87e403cc86
delta/utils/solver/utils/callbacks.py
python
ParallelModelCheckpoint.__init__
(self, model, filepath, monitor='val_loss', verbose=0, save_best_only=False, save_weights_only=False, mode='auto', save_freq='epoch', load_weights_on_restart=False, perio...
[]
def __init__(self, model, filepath, monitor='val_loss', verbose=0, save_best_only=False, save_weights_only=False, mode='auto', save_freq='epoch', load_weights_on_restart=False, ...
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https://github.com/Delta-ML/delta/blob/31dfebc8f20b7cb282b62f291ff25a87e403cc86/delta/utils/solver/utils/callbacks.py#L160-L181
vmware/vsphere-automation-sdk-python
ba7d4e0742f58a641dfed9538ecbbb1db4f3891e
samples/vmc/draas/site_recovery_activation_ops.py
python
SiteRecoveryActivationOperations.deactivate_srm
(self)
[]
def deactivate_srm(self): if self.cleanup: try: srm_deactivation_task = self.vmc_client.draas.SiteRecovery.delete(self.org_id, self.sddc_id, ...
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https://github.com/vmware/vsphere-automation-sdk-python/blob/ba7d4e0742f58a641dfed9538ecbbb1db4f3891e/samples/vmc/draas/site_recovery_activation_ops.py#L81-L95
chainer/chainer-chemistry
efe323aa21f63a815130d673781e7cca1ccb72d2
chainer_chemistry/dataset/networkx_preprocessors/reddit_coo.py
python
get_reddit_coo_data
(dirpath)
return PaddingGraphData( x=reddit_data['feature'].astype(numpy.float32), adj=adj, y=reddit_data['label'].astype(numpy.int32), label_num=41 )
Temporary function to obtain reddit coo data for GIN (because it takes to much time to convert it to networkx) Returns: PaddingGraphData: `PaddingGraphData` of reddit
Temporary function to obtain reddit coo data for GIN
[ "Temporary", "function", "to", "obtain", "reddit", "coo", "data", "for", "GIN" ]
def get_reddit_coo_data(dirpath): """Temporary function to obtain reddit coo data for GIN (because it takes to much time to convert it to networkx) Returns: PaddingGraphData: `PaddingGraphData` of reddit """ print("Loading node feature and label") reddit_data = numpy.load(os.path.join...
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https://github.com/chainer/chainer-chemistry/blob/efe323aa21f63a815130d673781e7cca1ccb72d2/chainer_chemistry/dataset/networkx_preprocessors/reddit_coo.py#L11-L46
Symbo1/wsltools
0b6e536fc85c707a1c81f0296c4e91ca835396a1
wsltools/utils/faker/providers/address/fr_FR/__init__.py
python
Provider.street_prefix
(self)
return self.random_element(self.street_prefixes)
:example 'rue'
:example 'rue'
[ ":", "example", "rue" ]
def street_prefix(self): """ :example 'rue' """ return self.random_element(self.street_prefixes)
[ "def", "street_prefix", "(", "self", ")", ":", "return", "self", ".", "random_element", "(", "self", ".", "street_prefixes", ")" ]
https://github.com/Symbo1/wsltools/blob/0b6e536fc85c707a1c81f0296c4e91ca835396a1/wsltools/utils/faker/providers/address/fr_FR/__init__.py#L141-L145
chribsen/simple-machine-learning-examples
dc94e52a4cebdc8bb959ff88b81ff8cfeca25022
venv/lib/python2.7/site-packages/numpy/ma/core.py
python
asanyarray
(a, dtype=None)
return masked_array(a, dtype=dtype, copy=False, keep_mask=True, subok=True)
Convert the input to a masked array, conserving subclasses. If `a` is a subclass of `MaskedArray`, its class is conserved. No copy is performed if the input is already an `ndarray`. Parameters ---------- a : array_like Input data, in any form that can be converted to an array. dtype : ...
Convert the input to a masked array, conserving subclasses.
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def asanyarray(a, dtype=None): """ Convert the input to a masked array, conserving subclasses. If `a` is a subclass of `MaskedArray`, its class is conserved. No copy is performed if the input is already an `ndarray`. Parameters ---------- a : array_like Input data, in any form that...
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https://github.com/chribsen/simple-machine-learning-examples/blob/dc94e52a4cebdc8bb959ff88b81ff8cfeca25022/venv/lib/python2.7/site-packages/numpy/ma/core.py#L7566-L7609
mesalock-linux/mesapy
ed546d59a21b36feb93e2309d5c6b75aa0ad95c9
lib-python/2.7/mailbox.py
python
MH.get_message
(self, key)
return msg
Return a Message representation or raise a KeyError.
Return a Message representation or raise a KeyError.
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def get_message(self, key): """Return a Message representation or raise a KeyError.""" try: if self._locked: f = open(os.path.join(self._path, str(key)), 'r+') else: f = open(os.path.join(self._path, str(key)), 'r') except IOError, e: ...
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https://github.com/mesalock-linux/mesapy/blob/ed546d59a21b36feb93e2309d5c6b75aa0ad95c9/lib-python/2.7/mailbox.py#L1004-L1029
seppius-xbmc-repo/ru
d0879d56ec8243b2c7af44fda5cf3d1ff77fd2e2
plugin.video.torrent.gnu/resources/lib/torr2xbmc.py
python
stream
(params)
[]
def stream (params): torr_link='f4a94963c11a47f213b145697f494b5fc5485b02' TSplayer=tsengine() out=TSplayer.load_torrent(torr_link,'INFOHASH',port=aceport) if out=='Ok': TSplayer.play_url_ind(0,'stream',None) TSplayer.end()
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https://github.com/seppius-xbmc-repo/ru/blob/d0879d56ec8243b2c7af44fda5cf3d1ff77fd2e2/plugin.video.torrent.gnu/resources/lib/torr2xbmc.py#L112-L118
plaid/plaid-python
8c60fca608e426f3ff30da8857775946d29e122c
plaid/model/payment_initiation_optional_restriction_bacs.py
python
PaymentInitiationOptionalRestrictionBacs.openapi_types
()
return { 'account': (str,), # noqa: E501 'sort_code': (str,), # noqa: E501 }
This must be a method because a model may have properties that are of type self, this must run after the class is loaded Returns openapi_types (dict): The key is attribute name and the value is attribute type.
This must be a method because a model may have properties that are of type self, this must run after the class is loaded
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def openapi_types(): """ This must be a method because a model may have properties that are of type self, this must run after the class is loaded Returns openapi_types (dict): The key is attribute name and the value is attribute type. """ lazy...
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https://github.com/plaid/plaid-python/blob/8c60fca608e426f3ff30da8857775946d29e122c/plaid/model/payment_initiation_optional_restriction_bacs.py#L82-L95
zhl2008/awd-platform
0416b31abea29743387b10b3914581fbe8e7da5e
web_hxb2/lib/python3.5/site-packages/django/utils/feedgenerator.py
python
SyndicationFeed.root_attributes
(self)
return {}
Return extra attributes to place on the root (i.e. feed/channel) element. Called from write().
Return extra attributes to place on the root (i.e. feed/channel) element. Called from write().
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def root_attributes(self): """ Return extra attributes to place on the root (i.e. feed/channel) element. Called from write(). """ return {}
[ "def", "root_attributes", "(", "self", ")", ":", "return", "{", "}" ]
https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_hxb2/lib/python3.5/site-packages/django/utils/feedgenerator.py#L170-L175
CGATOxford/cgat
326aad4694bdfae8ddc194171bb5d73911243947
CGAT/Genomics.py
python
CalculatePairIndices
(seq1, seq2, gap_char="-", with_codons=False)
return result
returns number of idential and transitions/transversions substitutions in the alignment. If with-codons = True, synonymous and nonsynonymous changes will be recorded as well. The routine assumes no frame-shifts and will count more than one change as non-synonymous.
returns number of idential and transitions/transversions substitutions in the alignment.
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def CalculatePairIndices(seq1, seq2, gap_char="-", with_codons=False): """returns number of idential and transitions/transversions substitutions in the alignment. If with-codons = True, synonymous and nonsynonymous changes will be recorded as well. The routine assumes no frame-shifts and will count...
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https://github.com/CGATOxford/cgat/blob/326aad4694bdfae8ddc194171bb5d73911243947/CGAT/Genomics.py#L1478-L1542
hongyuanmei/neurawkes
808d3ec28c3aebd907c63616e133acd52380246f
run_models.py
python
test_neural_hawkes_ctsm_and_save_time
(input_test)
this function is called to test neural hawkes ctsm with time encoder
this function is called to test neural hawkes ctsm with time encoder
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def test_neural_hawkes_ctsm_and_save_time(input_test): ''' this function is called to test neural hawkes ctsm with time encoder ''' #TODO: pre-settings like random states numpy.random.seed( input_test['seed_random'] ) # log_dict = { 'log_file': None, 'save_file_pa...
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https://github.com/hongyuanmei/neurawkes/blob/808d3ec28c3aebd907c63616e133acd52380246f/run_models.py#L3473-L3680
SCons/scons
309f0234d1d9cc76955818be47c5c722f577dac6
SCons/Tool/ninja/Methods.py
python
get_command
(env, node, action)
return ninja_build
Get the command to execute for node.
Get the command to execute for node.
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def get_command(env, node, action): # pylint: disable=too-many-branches """Get the command to execute for node.""" if node.env: sub_env = node.env else: sub_env = env executor = node.get_executor() tlist, slist = get_targets_sources(node) # Generate a real CommandAction if ...
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https://github.com/SCons/scons/blob/309f0234d1d9cc76955818be47c5c722f577dac6/SCons/Tool/ninja/Methods.py#L121-L213
scipy/scipy
e0a749f01e79046642ccfdc419edbf9e7ca141ad
scipy/stats/_stats_py.py
python
tmin
(a, lowerlimit=None, axis=0, inclusive=True, nan_policy='propagate')
return res
Compute the trimmed minimum. This function finds the miminum value of an array `a` along the specified axis, but only considering values greater than a specified lower limit. Parameters ---------- a : array_like Array of values. lowerlimit : None or float, optional Values i...
Compute the trimmed minimum.
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def tmin(a, lowerlimit=None, axis=0, inclusive=True, nan_policy='propagate'): """Compute the trimmed minimum. This function finds the miminum value of an array `a` along the specified axis, but only considering values greater than a specified lower limit. Parameters ---------- a : array_li...
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https://github.com/scipy/scipy/blob/e0a749f01e79046642ccfdc419edbf9e7ca141ad/scipy/stats/_stats_py.py#L621-L680
4shadoww/hakkuframework
409a11fc3819d251f86faa3473439f8c19066a21
lib/scapy/arch/windows/__init__.py
python
NetworkInterface_Win.setmonitor
(self, enable=True)
return tmp if enable else (not tmp)
Alias for setmode('monitor') or setmode('managed') Only available with Npcap
Alias for setmode('monitor') or setmode('managed') Only available with Npcap
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def setmonitor(self, enable=True): """Alias for setmode('monitor') or setmode('managed') Only available with Npcap""" # We must reset the monitor cache if enable: res = self.setmode('monitor') else: res = self.setmode('managed') if not res: ...
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https://github.com/4shadoww/hakkuframework/blob/409a11fc3819d251f86faa3473439f8c19066a21/lib/scapy/arch/windows/__init__.py#L383-L395
ales-tsurko/cells
4cf7e395cd433762bea70cdc863a346f3a6fe1d0
packaging/macos/python/lib/python3.7/site-packages/pip/_vendor/distro.py
python
LinuxDistribution.distro_release_attr
(self, attribute)
return self._distro_release_info.get(attribute, '')
Return a single named information item from the distro release file data source of the OS distribution. For details, see :func:`distro.distro_release_attr`.
Return a single named information item from the distro release file data source of the OS distribution.
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def distro_release_attr(self, attribute): """ Return a single named information item from the distro release file data source of the OS distribution. For details, see :func:`distro.distro_release_attr`. """ return self._distro_release_info.get(attribute, '')
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https://github.com/ales-tsurko/cells/blob/4cf7e395cd433762bea70cdc863a346f3a6fe1d0/packaging/macos/python/lib/python3.7/site-packages/pip/_vendor/distro.py#L901-L908
openhatch/oh-mainline
ce29352a034e1223141dcc2f317030bbc3359a51
vendor/packages/Django/django/contrib/gis/geos/geometry.py
python
GEOSGeometry.transform
(self, ct, clone=False)
Requires GDAL. Transforms the geometry according to the given transformation object, which may be an integer SRID, and WKT or PROJ.4 string. By default, the geometry is transformed in-place and nothing is returned. However if the `clone` keyword is set, then this geometry will not be mod...
Requires GDAL. Transforms the geometry according to the given transformation object, which may be an integer SRID, and WKT or PROJ.4 string. By default, the geometry is transformed in-place and nothing is returned. However if the `clone` keyword is set, then this geometry will not be mod...
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def transform(self, ct, clone=False): """ Requires GDAL. Transforms the geometry according to the given transformation object, which may be an integer SRID, and WKT or PROJ.4 string. By default, the geometry is transformed in-place and nothing is returned. However if the `clone` ...
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https://github.com/openhatch/oh-mainline/blob/ce29352a034e1223141dcc2f317030bbc3359a51/vendor/packages/Django/django/contrib/gis/geos/geometry.py#L487-L526
flow-project/flow
a511c41c48e6b928bb2060de8ad1ef3c3e3d9554
flow/envs/multiagent/traffic_light_grid.py
python
MultiTrafficLightGridPOEnv.get_state
(self)
return obs
Observations for each traffic light agent. :return: dictionary which contains agent-wise observations as follows: - For the self.num_observed number of vehicles closest and incoming towards traffic light agent, gives the vehicle velocity, distance to intersection, edge number. -...
Observations for each traffic light agent.
[ "Observations", "for", "each", "traffic", "light", "agent", "." ]
def get_state(self): """Observations for each traffic light agent. :return: dictionary which contains agent-wise observations as follows: - For the self.num_observed number of vehicles closest and incoming towards traffic light agent, gives the vehicle velocity, distance to inte...
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https://github.com/flow-project/flow/blob/a511c41c48e6b928bb2060de8ad1ef3c3e3d9554/flow/envs/multiagent/traffic_light_grid.py#L90-L200
chribsen/simple-machine-learning-examples
dc94e52a4cebdc8bb959ff88b81ff8cfeca25022
venv/lib/python2.7/site-packages/numpy/lib/recfunctions.py
python
izip_records
(seqarrays, fill_value=None, flatten=True)
Returns an iterator of concatenated items from a sequence of arrays. Parameters ---------- seqarrays : sequence of arrays Sequence of arrays. fill_value : {None, integer} Value used to pad shorter iterables. flatten : {True, False}, Whether to
Returns an iterator of concatenated items from a sequence of arrays.
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def izip_records(seqarrays, fill_value=None, flatten=True): """ Returns an iterator of concatenated items from a sequence of arrays. Parameters ---------- seqarrays : sequence of arrays Sequence of arrays. fill_value : {None, integer} Value used to pad shorter iterables. fla...
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https://github.com/chribsen/simple-machine-learning-examples/blob/dc94e52a4cebdc8bb959ff88b81ff8cfeca25022/venv/lib/python2.7/site-packages/numpy/lib/recfunctions.py#L265-L295
cloudera/hue
23f02102d4547c17c32bd5ea0eb24e9eadd657a4
desktop/core/ext-py/pysaml2-4.9.0/src/saml2/client.py
python
Saml2Client.handle_logout_request
(self, request, name_id, binding, sign=False, sign_alg=None, relay_state="")
return self.apply_binding(rinfo["binding"], response, rinfo["destination"], relay_state, response=True, sign=sign)
Deal with a LogoutRequest :param request: The request as text string :param name_id: The id of the current user :param binding: Which binding the message came in over :param sign: Whether the response will be signed or not :return: Keyword arguments which can be used to send the...
Deal with a LogoutRequest
[ "Deal", "with", "a", "LogoutRequest" ]
def handle_logout_request(self, request, name_id, binding, sign=False, sign_alg=None, relay_state=""): """ Deal with a LogoutRequest :param request: The request as text string :param name_id: The id of the current user :param binding: Which binding ...
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https://github.com/cloudera/hue/blob/23f02102d4547c17c32bd5ea0eb24e9eadd657a4/desktop/core/ext-py/pysaml2-4.9.0/src/saml2/client.py#L485-L538
SeldonIO/alibi
ce961caf995d22648a8338857822c90428af4765
alibi/explainers/shap_wrappers.py
python
KernelShap._
(self, background_data, *args, **kwargs)
Initialises background data if the user passes an `np.ndarray` object as input. If the user specifies feature grouping then a `shap_utils.DenseData` object is returned. Weights are handled separately to avoid triggering assertion correct inside `shap` library. Otherwise, the original data is ret...
Initialises background data if the user passes an `np.ndarray` object as input. If the user specifies feature grouping then a `shap_utils.DenseData` object is returned. Weights are handled separately to avoid triggering assertion correct inside `shap` library. Otherwise, the original data is ret...
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def _(self, background_data, *args, **kwargs) -> Union[np.ndarray, shap_utils.Data]: """ Initialises background data if the user passes an `np.ndarray` object as input. If the user specifies feature grouping then a `shap_utils.DenseData` object is returned. Weights are handled separately...
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https://github.com/SeldonIO/alibi/blob/ce961caf995d22648a8338857822c90428af4765/alibi/explainers/shap_wrappers.py#L580-L594
MrGiovanni/UNetPlusPlus
e145ba63862982bf1099cf2ec11d5466b434ae0b
keras/segmentation_models/pspnet/model.py
python
PSPNet
(backbone_name='vgg16', input_shape=(384, 384, 3), input_tensor=None, encoder_weights='imagenet', freeze_encoder=False, downsample_factor=8, psp_conv_filters=512, psp_pooling_type='avg', use_batchnorm=True, dropout=None, ...
return model
Exploit the capability of global context information by different-regionbased context aggregation through pyramid pooling module together with the proposed pyramid scene parsing network (PSPNet). https://arxiv.org/pdf/1612.01105.pdf Args: backbone_name: (str) look at list of available backbone...
Exploit the capability of global context information by different-regionbased context aggregation through pyramid pooling module together with the proposed pyramid scene parsing network (PSPNet).
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def PSPNet(backbone_name='vgg16', input_shape=(384, 384, 3), input_tensor=None, encoder_weights='imagenet', freeze_encoder=False, downsample_factor=8, psp_conv_filters=512, psp_pooling_type='avg', use_batchnorm=True, drop...
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https://github.com/MrGiovanni/UNetPlusPlus/blob/e145ba63862982bf1099cf2ec11d5466b434ae0b/keras/segmentation_models/pspnet/model.py#L47-L121
facebookresearch/ParlAI
e4d59c30eef44f1f67105961b82a83fd28d7d78b
parlai/agents/rag/rag.py
python
RagAgent._convert_model
(self, opt: Opt)
return self._generation_agent._convert_model(self, opt)
Override BartAgent._convert_model to use RagConversionScript.
Override BartAgent._convert_model to use RagConversionScript.
[ "Override", "BartAgent", ".", "_convert_model", "to", "use", "RagConversionScript", "." ]
def _convert_model(self, opt: Opt) -> Opt: """ Override BartAgent._convert_model to use RagConversionScript. """ return self._generation_agent._convert_model(self, opt)
[ "def", "_convert_model", "(", "self", ",", "opt", ":", "Opt", ")", "->", "Opt", ":", "return", "self", ".", "_generation_agent", ".", "_convert_model", "(", "self", ",", "opt", ")" ]
https://github.com/facebookresearch/ParlAI/blob/e4d59c30eef44f1f67105961b82a83fd28d7d78b/parlai/agents/rag/rag.py#L271-L275
leancloud/satori
701caccbd4fe45765001ca60435c0cb499477c03
satori-rules/plugin/libs/requests/api.py
python
post
(url, data=None, json=None, **kwargs)
return request('post', url, data=data, json=json, **kwargs)
Sends a POST request. :param url: URL for the new :class:`Request` object. :param data: (optional) Dictionary, bytes, or file-like object to send in the body of the :class:`Request`. :param json: (optional) json data to send in the body of the :class:`Request`. :param \*\*kwargs: Optional arguments tha...
Sends a POST request.
[ "Sends", "a", "POST", "request", "." ]
def post(url, data=None, json=None, **kwargs): """Sends a POST request. :param url: URL for the new :class:`Request` object. :param data: (optional) Dictionary, bytes, or file-like object to send in the body of the :class:`Request`. :param json: (optional) json data to send in the body of the :class:`R...
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https://github.com/leancloud/satori/blob/701caccbd4fe45765001ca60435c0cb499477c03/satori-rules/plugin/libs/requests/api.py#L96-L107
openstack/barbican
a9d2b133c8dc3307974f119f9a2b23a4ba82e8ce
barbican/tasks/resources.py
python
BeginTypeOrder.get_name
(self)
return u._('Process TypeOrder')
[]
def get_name(self): return u._('Process TypeOrder')
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https://github.com/openstack/barbican/blob/a9d2b133c8dc3307974f119f9a2b23a4ba82e8ce/barbican/tasks/resources.py#L231-L232
pytroll/satpy
09e51f932048f98cce7919a4ff8bd2ec01e1ae98
satpy/resample.py
python
_LegacySatpyEWAResampler.resample
(self, *args, **kwargs)
return super(_LegacySatpyEWAResampler, self).resample(*args, **kwargs)
Run precompute and compute methods. .. note:: This sets the default of 'mask_area' to False since it is not needed in EWA resampling currently.
Run precompute and compute methods.
[ "Run", "precompute", "and", "compute", "methods", "." ]
def resample(self, *args, **kwargs): """Run precompute and compute methods. .. note:: This sets the default of 'mask_area' to False since it is not needed in EWA resampling currently. """ kwargs.setdefault('mask_area', False) return super(_LegacySatpyEW...
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https://github.com/pytroll/satpy/blob/09e51f932048f98cce7919a4ff8bd2ec01e1ae98/satpy/resample.py#L683-L693
bjmayor/hacker
e3ce2ad74839c2733b27dac6c0f495e0743e1866
venv/lib/python3.5/site-packages/pip/_vendor/retrying.py
python
retry
(*dargs, **dkw)
Decorator function that instantiates the Retrying object @param *dargs: positional arguments passed to Retrying object @param **dkw: keyword arguments passed to the Retrying object
Decorator function that instantiates the Retrying object
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def retry(*dargs, **dkw): """ Decorator function that instantiates the Retrying object @param *dargs: positional arguments passed to Retrying object @param **dkw: keyword arguments passed to the Retrying object """ # support both @retry and @retry() as valid syntax if len(dargs) == 1 and cal...
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https://github.com/bjmayor/hacker/blob/e3ce2ad74839c2733b27dac6c0f495e0743e1866/venv/lib/python3.5/site-packages/pip/_vendor/retrying.py#L26-L53
Tencent/GAutomator
0ac9f849d1ca2c59760a91c5c94d3db375a380cd
GAutomatorIos/ga2/cloud/httptools/remote_connection.py
python
Request.get_method
(self)
return self._method
Returns the HTTP method used by this request.
Returns the HTTP method used by this request.
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def get_method(self): """ Returns the HTTP method used by this request. """ return self._method
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https://github.com/Tencent/GAutomator/blob/0ac9f849d1ca2c59760a91c5c94d3db375a380cd/GAutomatorIos/ga2/cloud/httptools/remote_connection.py#L67-L71
chribsen/simple-machine-learning-examples
dc94e52a4cebdc8bb959ff88b81ff8cfeca25022
venv/lib/python2.7/site-packages/scipy/stats/_multivariate.py
python
multivariate_normal_gen.entropy
(self, mean=None, cov=1)
return 0.5 * logdet
Compute the differential entropy of the multivariate normal. Parameters ---------- %(_mvn_doc_default_callparams)s Returns ------- h : scalar Entropy of the multivariate normal distribution Notes ----- %(_mvn_doc_callparams_note)s
Compute the differential entropy of the multivariate normal.
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def entropy(self, mean=None, cov=1): """ Compute the differential entropy of the multivariate normal. Parameters ---------- %(_mvn_doc_default_callparams)s Returns ------- h : scalar Entropy of the multivariate normal distribution No...
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https://github.com/chribsen/simple-machine-learning-examples/blob/dc94e52a4cebdc8bb959ff88b81ff8cfeca25022/venv/lib/python2.7/site-packages/scipy/stats/_multivariate.py#L536-L556
ninja-ide/ninja-ide
87d91131bd19fdc3dcfd91eb97ad1e41c49c60c0
ninja_ide/gui/editor/editor.py
python
NEditor.__manage_key_home
(self, event)
Performs home key action
Performs home key action
[ "Performs", "home", "key", "action" ]
def __manage_key_home(self, event): """Performs home key action""" cursor = self.textCursor() indent = self.line_indent() # For selection move = QTextCursor.MoveAnchor if event.modifiers() == Qt.ShiftModifier: move = QTextCursor.KeepAnchor # Operation ...
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https://github.com/ninja-ide/ninja-ide/blob/87d91131bd19fdc3dcfd91eb97ad1e41c49c60c0/ninja_ide/gui/editor/editor.py#L477-L494
hirofumi0810/tensorflow_end2end_speech_recognition
65b9728089d5e92b25b92384a67419d970399a64
examples/timit/data/load_dataset_joint_ctc_attention.py
python
Dataset.__init__
(self, data_type, label_type, batch_size, map_file_path, max_epoch=None, splice=1, num_stack=1, num_skip=1, shuffle=False, sort_utt=False, sort_stop_epoch=None, progressbar=False)
A class for loading dataset. Args: data_type (string): train or dev or test label_type (string): phone39 or phone48 or phone61 or character or character_capital_divide batch_size (int): the size of mini-batch map_file_path (string): path to the map...
A class for loading dataset. Args: data_type (string): train or dev or test label_type (string): phone39 or phone48 or phone61 or character or character_capital_divide batch_size (int): the size of mini-batch map_file_path (string): path to the map...
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def __init__(self, data_type, label_type, batch_size, map_file_path, max_epoch=None, splice=1, num_stack=1, num_skip=1, shuffle=False, sort_utt=False, sort_stop_epoch=None, progressbar=False): """A class for loading dataset. Args: ...
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https://github.com/hirofumi0810/tensorflow_end2end_speech_recognition/blob/65b9728089d5e92b25b92384a67419d970399a64/examples/timit/data/load_dataset_joint_ctc_attention.py#L22-L97
akanazawa/hmr
f149abeb0a7e2a3412eb68274a94a9232f7cb667
src/tf_smpl/batch_lbs.py
python
batch_skew
(vec, batch_size=None)
vec is N x 3, batch_size is int returns N x 3 x 3. Skew_sym version of each matrix.
vec is N x 3, batch_size is int
[ "vec", "is", "N", "x", "3", "batch_size", "is", "int" ]
def batch_skew(vec, batch_size=None): """ vec is N x 3, batch_size is int returns N x 3 x 3. Skew_sym version of each matrix. """ with tf.name_scope("batch_skew", [vec]): if batch_size is None: batch_size = vec.shape.as_list()[0] col_inds = tf.constant([1, 2, 3, 5, 6, 7]...
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https://github.com/akanazawa/hmr/blob/f149abeb0a7e2a3412eb68274a94a9232f7cb667/src/tf_smpl/batch_lbs.py#L15-L39
jgagneastro/coffeegrindsize
22661ebd21831dba4cf32bfc6ba59fe3d49f879c
App/dist/coffeegrindsize.app/Contents/Resources/lib/python3.7/matplotlib/text.py
python
TextWithDash.draw
(self, renderer)
Draw the :class:`TextWithDash` object to the given *renderer*.
Draw the :class:`TextWithDash` object to the given *renderer*.
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def draw(self, renderer): """ Draw the :class:`TextWithDash` object to the given *renderer*. """ self.update_coords(renderer) Text.draw(self, renderer) if self.get_dashlength() > 0.0: self.dashline.draw(renderer) self.stale = False
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https://github.com/jgagneastro/coffeegrindsize/blob/22661ebd21831dba4cf32bfc6ba59fe3d49f879c/App/dist/coffeegrindsize.app/Contents/Resources/lib/python3.7/matplotlib/text.py#L1410-L1418
replit-archive/empythoned
977ec10ced29a3541a4973dc2b59910805695752
dist/lib/python2.7/decimal.py
python
Decimal._compare_check_nans
(self, other, context)
return 0
Version of _check_nans used for the signaling comparisons compare_signal, __le__, __lt__, __ge__, __gt__. Signal InvalidOperation if either self or other is a (quiet or signaling) NaN. Signaling NaNs take precedence over quiet NaNs. Return 0 if neither operand is a NaN.
Version of _check_nans used for the signaling comparisons compare_signal, __le__, __lt__, __ge__, __gt__.
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def _compare_check_nans(self, other, context): """Version of _check_nans used for the signaling comparisons compare_signal, __le__, __lt__, __ge__, __gt__. Signal InvalidOperation if either self or other is a (quiet or signaling) NaN. Signaling NaNs take precedence over quiet N...
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https://github.com/replit-archive/empythoned/blob/977ec10ced29a3541a4973dc2b59910805695752/dist/lib/python2.7/decimal.py#L760-L791
roclark/sportsipy
c19f545d3376d62ded6304b137dc69238ac620a9
sportsipy/ncaab/boxscore.py
python
Boxscore.home_points
(self)
return self._home_points
Returns an ``int`` of the number of points the home team scored.
Returns an ``int`` of the number of points the home team scored.
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def home_points(self): """ Returns an ``int`` of the number of points the home team scored. """ return self._home_points
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https://github.com/roclark/sportsipy/blob/c19f545d3376d62ded6304b137dc69238ac620a9/sportsipy/ncaab/boxscore.py#L1467-L1471
numba/numba
bf480b9e0da858a65508c2b17759a72ee6a44c51
numba/np/npyfuncs.py
python
np_real_log_impl
(context, builder, sig, args)
return mathimpl.log_impl(context, builder, sig, args)
[]
def np_real_log_impl(context, builder, sig, args): _check_arity_and_homogeneity(sig, args, 1) return mathimpl.log_impl(context, builder, sig, args)
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https://github.com/numba/numba/blob/bf480b9e0da858a65508c2b17759a72ee6a44c51/numba/np/npyfuncs.py#L626-L628
jina-ai/jina
c77a492fcd5adba0fc3de5347bea83dd4e7d8087
jina/peapods/pods/k8slib/kubernetes_tools.py
python
_patch_deployment_with_device_plugins
(yaml_content: str, params: Dict)
return json.dumps(deployment)
[]
def _patch_deployment_with_device_plugins(yaml_content: str, params: Dict): import yaml device_plugins = _create_device_plugins(params['device_plugins']) deployment = yaml.safe_load(yaml_content) deployment['spec']['template']['spec']['containers'][0][ 'resources' ] = device_plugins re...
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https://github.com/jina-ai/jina/blob/c77a492fcd5adba0fc3de5347bea83dd4e7d8087/jina/peapods/pods/k8slib/kubernetes_tools.py#L142-L151
TencentCloud/tencentcloud-sdk-python
3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2
tencentcloud/ecm/v20190719/models.py
python
SetSecurityGroupForLoadbalancersRequest.__init__
(self)
r""" :param LoadBalancerIds: 负载均衡实例ID数组 :type LoadBalancerIds: list of str :param SecurityGroup: 安全组ID,如 esg-12345678 :type SecurityGroup: str :param OperationType: ADD 绑定安全组; DEL 解绑安全组 :type OperationType: str
r""" :param LoadBalancerIds: 负载均衡实例ID数组 :type LoadBalancerIds: list of str :param SecurityGroup: 安全组ID,如 esg-12345678 :type SecurityGroup: str :param OperationType: ADD 绑定安全组; DEL 解绑安全组 :type OperationType: str
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def __init__(self): r""" :param LoadBalancerIds: 负载均衡实例ID数组 :type LoadBalancerIds: list of str :param SecurityGroup: 安全组ID,如 esg-12345678 :type SecurityGroup: str :param OperationType: ADD 绑定安全组; DEL 解绑安全组 :type OperationType: str """ self.LoadBala...
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https://github.com/TencentCloud/tencentcloud-sdk-python/blob/3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2/tencentcloud/ecm/v20190719/models.py#L11399-L11411
omz/PythonistaAppTemplate
f560f93f8876d82a21d108977f90583df08d55af
PythonistaAppTemplate/PythonistaKit.framework/pylib/sysconfig.py
python
get_config_h_filename
()
return os.path.join(inc_dir, 'pyconfig.h')
Returns the path of pyconfig.h.
Returns the path of pyconfig.h.
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def get_config_h_filename(): """Returns the path of pyconfig.h.""" if _PYTHON_BUILD: if os.name == "nt": inc_dir = os.path.join(_PROJECT_BASE, "PC") else: inc_dir = _PROJECT_BASE else: inc_dir = get_path('platinclude') return os.path.join(inc_dir, 'pyconfi...
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https://github.com/omz/PythonistaAppTemplate/blob/f560f93f8876d82a21d108977f90583df08d55af/PythonistaAppTemplate/PythonistaKit.framework/pylib/sysconfig.py#L401-L410
python-social-auth/social-core
1ea27e8989657bb35dd37b6ee2e038e1358fbc96
social_core/backends/weibo.py
python
WeiboOAuth2.get_uid
(self, access_token)
return data['uid']
Return uid by access_token
Return uid by access_token
[ "Return", "uid", "by", "access_token" ]
def get_uid(self, access_token): """Return uid by access_token""" data = self.get_json( 'https://api.weibo.com/oauth2/get_token_info', method='POST', params={'access_token': access_token} ) return data['uid']
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https://github.com/python-social-auth/social-core/blob/1ea27e8989657bb35dd37b6ee2e038e1358fbc96/social_core/backends/weibo.py#L41-L48
googleads/google-ads-python
2a1d6062221f6aad1992a6bcca0e7e4a93d2db86
google/ads/googleads/v9/services/services/language_constant_service/client.py
python
LanguageConstantServiceClient.get_language_constant
( self, request: Union[ language_constant_service.GetLanguageConstantRequest, dict ] = None, *, resource_name: str = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), )
return response
r"""Returns the requested language constant. List of thrown errors: `AuthenticationError <>`__ `AuthorizationError <>`__ `HeaderError <>`__ `InternalError <>`__ `QuotaError <>`__ `RequestError <>`__ Args: request (Union[google.ads.googleads.v9.services.types.GetLanguageCons...
r"""Returns the requested language constant.
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def get_language_constant( self, request: Union[ language_constant_service.GetLanguageConstantRequest, dict ] = None, *, resource_name: str = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[...
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https://github.com/googleads/google-ads-python/blob/2a1d6062221f6aad1992a6bcca0e7e4a93d2db86/google/ads/googleads/v9/services/services/language_constant_service/client.py#L375-L457
sacmehta/EdgeNets
2b232d3f7fb60658755dad1ebca0ffc895cc795e
model/detection/ssd.py
python
SSD300.init_params
(self)
Function to initialze the parameters
Function to initialze the parameters
[ "Function", "to", "initialze", "the", "parameters" ]
def init_params(self): ''' Function to initialze the parameters ''' print_info_message('Initializaing Conv Layers with Xavier Unifrom') # initializing matters a lot # changing to Kaiming He's init functionaity, does not let the model to converge. # probably becaus...
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https://github.com/sacmehta/EdgeNets/blob/2b232d3f7fb60658755dad1ebca0ffc895cc795e/model/detection/ssd.py#L47-L58
jelmer/xandikos
3149a633c388a6f1dffbc6686763fca00f72e3bc
xandikos/scheduling.py
python
ScheduleInbox.get_max_date_time
(self)
Return maximum datetime property.
Return maximum datetime property.
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def get_max_date_time(self): """Return maximum datetime property.""" raise NotImplementedError(self.get_max_date_time)
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https://github.com/jelmer/xandikos/blob/3149a633c388a6f1dffbc6686763fca00f72e3bc/xandikos/scheduling.py#L91-L93
networkx/networkx
1620568e36702b1cfeaf1c0277b167b6cb93e48d
networkx/linalg/bethehessianmatrix.py
python
bethe_hessian_matrix
(G, r=None, nodelist=None)
return (r ** 2 - 1) * I - r * A + D
r"""Returns the Bethe Hessian matrix of G. The Bethe Hessian is a family of matrices parametrized by r, defined as H(r) = (r^2 - 1) I - r A + D where A is the adjacency matrix, D is the diagonal matrix of node degrees, and I is the identify matrix. It is equal to the graph laplacian when the regularize...
r"""Returns the Bethe Hessian matrix of G.
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def bethe_hessian_matrix(G, r=None, nodelist=None): r"""Returns the Bethe Hessian matrix of G. The Bethe Hessian is a family of matrices parametrized by r, defined as H(r) = (r^2 - 1) I - r A + D where A is the adjacency matrix, D is the diagonal matrix of node degrees, and I is the identify matrix. It...
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https://github.com/networkx/networkx/blob/1620568e36702b1cfeaf1c0277b167b6cb93e48d/networkx/linalg/bethehessianmatrix.py#L10-L76