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Yonv1943/Python | ecce2153892093d7a13686e4cbfd6b323cb59de8 | ElegantRL/Beta/elegantrl/AgentZoo/ElegantRL-PER/net.py | python | CriticTwin.__init__ | (self, mid_dim, state_dim, action_dim, if_use_dn=False) | Not need to use both SpectralNorm and TwinCritic
I choose TwinCritc instead of SpectralNorm,
because SpectralNorm is conflict with soft target update,
if is_spectral_norm:
self.net1[1] = nn.utils.spectral_norm(self.dec_q1[1])
self.net2[1] = nn.utils.spectral_norm(self.d... | Not need to use both SpectralNorm and TwinCritic
I choose TwinCritc instead of SpectralNorm,
because SpectralNorm is conflict with soft target update, | [
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super().__init__()
if if_use_dn: # use DenseNet (DenseNet has both shallow and deep linear layer)
nn_dense = DenseNet(mid_dim)
lay_dim = nn_dense.out_dim
self.net_sa = nn.Sequential(nn.Linear(state... | [
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martsberger/django-pivot | be6efdea5bb009d6ccc697b3c62d7e539e9fee7f | django_pivot/histogram.py | python | multi_histogram | (queryset, column, bins, slice_on, choices) | return _zero_fill(qs, bins, field_values) | Returns a table of histograms, one for each unique value of field in queryset.
:param queryset: A Queryet, Model, or Manager
:param column: The column we are aggregating into a histogram
:param bins: An ordered iterable of left endpoints of the bins. Must have at least two elements.
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Returns a table of histograms, one for each unique value of field in queryset.
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deepdrive/deepdrive | 11adb9480ffeba832231e15eb545ec9aba1f7d65 | vendor/openai/baselines/common/math_util.py | python | explained_variance | (ypred,y) | return np.nan if vary==0 else 1 - np.var(y-ypred)/vary | Computes fraction of variance that ypred explains about y.
Returns 1 - Var[y-ypred] / Var[y]
interpretation:
ev=0 => might as well have predicted zero
ev=1 => perfect prediction
ev<0 => worse than just predicting zero | Computes fraction of variance that ypred explains about y.
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"""
Computes fraction of variance that ypred explains about y.
Returns 1 - Var[y-ypred] / Var[y]
interpretation:
ev=0 => might as well have predicted zero
ev=1 => perfect prediction
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home-assistant/core | 265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1 | homeassistant/components/aemet/sensor.py | python | AemetForecastSensor.__init__ | (
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description: SensorEntityDescription,
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weather_coordinator: WeatherUpdateCoordinator,
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"""Initialize the sensor."""
super().__init__(
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yuanxiaosc/BERT-for-Sequence-Labeling-and-Text-Classification | 2a6d2f9c732a362458030643e131540e7d1cdcca | bert/run_squad.py | python | model_fn_builder | (bert_config, init_checkpoint, learning_rate,
num_train_steps, num_warmup_steps, use_tpu,
use_one_hot_embeddings) | return model_fn | Returns `model_fn` closure for TPUEstimator. | Returns `model_fn` closure for TPUEstimator. | [
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] | def model_fn_builder(bert_config, init_checkpoint, learning_rate,
num_train_steps, num_warmup_steps, use_tpu,
use_one_hot_embeddings):
"""Returns `model_fn` closure for TPUEstimator."""
def model_fn(features, labels, mode, params): # pylint: disable=unused-argument
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tensorflow/lingvo | ce10019243d954c3c3ebe739f7589b5eebfdf907 | lingvo/jax/optimizers.py | python | sharded_sgd | (learning_rate_fn: optax.Schedule, momentum: Optional[float],
nesterov: bool) | return ShardedGradientTransformation(
init=count_init_fn,
update=update_fn,
init_partition_spec=count_init_partition_spec_fn) | A canonical Stochastic Gradient Descent optimiser that supports spmd ...
sharding.
This implements stochastic gradient descent. It also includes support for
momentum, and nesterov acceleration, as these are standard practice when
using stochastic gradient descent to train deep neural networks.
References:
... | A canonical Stochastic Gradient Descent optimiser that supports spmd ... | [
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nesterov: bool) -> ShardedGradientTransformation:
"""A canonical Stochastic Gradient Descent optimiser that supports spmd ...
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This implements stochastic gradient descent. It also includes support for
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duo-labs/py_webauthn | fe97b9841328aa84559bd2a282c07d20145845c1 | webauthn/helpers/decode_credential_public_key.py | python | decode_credential_public_key | (
key: bytes,
) | Decode a CBOR-encoded public key and turn it into a data structure.
Supports OKP, EC2, and RSA public keys | Decode a CBOR-encoded public key and turn it into a data structure. | [
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key: bytes,
) -> Union[DecodedOKPPublicKey, DecodedEC2PublicKey, DecodedRSAPublicKey]:
"""
Decode a CBOR-encoded public key and turn it into a data structure.
Supports OKP, EC2, and RSA public keys
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IJDykeman/wangTiles | 7c1ee2095ebdf7f72bce07d94c6484915d5cae8b | experimental_code/tiles_3d/venv/lib/python2.7/site-packages/pip/req.py | python | parse_editable | (editable_req, default_vcs=None) | return package, url, options | Parses svn+http://blahblah@rev#egg=Foobar into a requirement
(Foobar) and a URL | Parses svn+http://blahblah | [
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] | def parse_editable(editable_req, default_vcs=None):
"""Parses svn+http://blahblah@rev#egg=Foobar into a requirement
(Foobar) and a URL"""
url = editable_req
extras = None
# If a file path is specified with extras, strip off the extras.
m = re.match(r'^(.+)(\[[^\]]+\])$', url)
if m:
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yangxue0827/R-DFPN_FPN_Tensorflow | fa69b1c176fc5eb9835e9ac46663c81a4bf7e6ce | libs/rotation/r_minibatch.py | python | r_get_minibatch | (roidb, num_classes) | return blobs | Given a roidb, construct a minibatch sampled from it. | Given a roidb, construct a minibatch sampled from it. | [
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bbox_para_num = 5
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num_images = len(roidb)
# Sample random scales to use for each image in this batch
random_scale_inds = npr.randint(0, high=len(cfg.TRAIN.SCALES),
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bruderstein/PythonScript | df9f7071ddf3a079e3a301b9b53a6dc78cf1208f | PythonLib/min/_pyio.py | python | BufferedRWPair.readinto | (self, b) | return self.reader.readinto(b) | [] | def readinto(self, b):
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materialsproject/pymatgen | 8128f3062a334a2edd240e4062b5b9bdd1ae6f58 | pymatgen/analysis/structure_matcher.py | python | OccupancyComparator.are_equal | (self, sp1, sp2) | return set(sp1.element_composition.values()) == set(sp2.element_composition.values()) | Args:
sp1: First species. A dict of {specie/element: amt} as per the
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sp2: Second species. A dict of {specie/element: amt} as per the
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snuspl/parallax | 83791254ccd5d7a55213687a8dff4c2e04372694 | parallax/parallax/examples/nmt/scripts/rouge.py | python | _split_into_words | (sentences) | return list(itertools.chain(*[_.split(" ") for _ in sentences])) | Splits multiple sentences into words and flattens the result | Splits multiple sentences into words and flattens the result | [
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vim-scripts/UltiSnips | 5f88199e373a7eea4644b8dc1ff433688e8f2ebd | pythonx/UltiSnips/snippet/source/file/_base.py | python | SnippetFileSource._parse_snippets | (self, ft, filename) | Parse the 'filename' for the given 'ft' and watch it for changes in
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ntalekt/homeassistant | 8fb6da881564430a3324125ddc2bd43cb7c8680f | custom_components/hacs/api/hacs_config.py | python | hacs_config | (_hass, connection, msg) | Handle get media player cover command. | Handle get media player cover command. | [
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InsaneLife/dssm | 1d32e137654e03994f7ba6cfde52e1d47601027c | model/bert/modeling.py | python | BertModel.get_sequence_output | (self) | return self.sequence_output | Gets final hidden layer of encoder.
Returns:
float Tensor of shape [batch_size, seq_length, hidden_size] corresponding
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flipkart-incubator/RTA | 1559ae0f0087ec2371264ed6dd562c17dabebb84 | rta.py | python | Scan.wp_scan | (self, parent) | Launch WpScan if the techstack used is wordpress. | Launch WpScan if the techstack used is wordpress. | [
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"""
Launch WpScan if the techstack used is wordpress.
"""
collection = self.dbname['wpscan']
collection_tech = self.dbname['tech_stack']
count = self.dbname.collection.count()
# collection.create_index('domain', unique=True)
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Supervisor/supervisor | 7de6215c9677d1418e7f0a72e7065c1fa69174d4 | supervisor/rpcinterface.py | python | SupervisorNamespaceRPCInterface.addProcessGroup | (self, name) | Update the config for a running process from config file.
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perone/Pyevolve | 589b6a9b92ed1fd9ef00987bf4bfe807c4a7b7e0 | pyevolve/GTree.py | python | buildGTreeGrow | (depth, value_callback, max_siblings, max_depth) | return n | Random generates a Tree structure using the value_callback
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JiYou/openstack | 8607dd488bde0905044b303eb6e52bdea6806923 | chap19/monitor/monitor/monitor/openstack/common/timeutils.py | python | normalize_time | (timestamp) | return timestamp.replace(tzinfo=None) - offset | Normalize time in arbitrary timezone to UTC naive object | Normalize time in arbitrary timezone to UTC naive object | [
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pytroll/satpy | 09e51f932048f98cce7919a4ff8bd2ec01e1ae98 | satpy/readers/mviri_l1b_fiduceo_nc.py | python | DatasetWrapper.__getitem__ | (self, item) | return ds | Get a variable from the dataset. | Get a variable from the dataset. | [
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NervanaSystems/ngraph-python | ac032c83c7152b615a9ad129d54d350f9d6a2986 | ngraph/op_graph/comm_nodes.py | python | GatherRecvOp.hetr_axes | (self, axes, parallel_axis) | return arg_axes | Override hetr_axes function to ensure GatherRecvOp has the full length
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robotlearn/pyrobolearn | 9cd7c060723fda7d2779fa255ac998c2c82b8436 | pyrobolearn/utils/parsers/robots/data_structures.py | python | Light.specular | (self) | return self.material.specular | Return the light specular color. | Return the light specular color. | [
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securesystemslab/zippy | ff0e84ac99442c2c55fe1d285332cfd4e185e089 | zippy/benchmarks/src/benchmarks/sympy/sympy/ntheory/modular.py | python | solve_congruence | (*remainder_modulus_pairs, **hint) | Compute the integer ``n`` that has the residual ``ai`` when it is
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shadowmoose/RedditDownloader | ffe38afbee64e094fe80de2267ea049401bfb2f2 | redditdownloader/static/settings.py | python | remove_source | (source, save_after=True) | Removes the given Source from the list of sources, and resaves (if set). | Removes the given Source from the list of sources, and resaves (if set). | [
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Arachnid/bloggart | ba2b60417102fe14a77b1bcd809b9b801d3a96e2 | lib/xsrfutil.py | python | generate_token | (key, user_id, path="", when=None) | return token | Generates a URL-safe token for the given user, action, time tuple.
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deanishe/alfred-vpn-manager | f5d0dd1433ea69b1517d4866a12b1118097057b9 | src/workflow/web.py | python | Response.save_to_path | (self, filepath) | Save retrieved data to file at ``filepath``.
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pymeasure/pymeasure | b4d888e9ead85ef7f7af0031f2dbb44c9ce1825e | pymeasure/instruments/keithley/keithley2400.py | python | Keithley2400.auto_range_source | (self) | Configures the source to use an automatic range. | Configures the source to use an automatic range. | [
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ym2011/POC-EXP | 206b22d3a6b2a172359678df33bbc5b2ad04b6c3 | windows/SYNfulKnock/scapy-2.3.1/scapy/contrib/gsm_um.py | python | systemInformationType5 | () | return packet | SYSTEM INFORMATION TYPE 5 Section 9.1.37 | SYSTEM INFORMATION TYPE 5 Section 9.1.37 | [
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hyperledger/aries-cloudagent-python | 2f36776e99f6053ae92eed8123b5b1b2e891c02a | aries_cloudagent/storage/in_memory.py | python | InMemoryStorage.find_all_records | (
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rytilahti/python-miio | b6e53dd16fac77915426e7592e2528b78ef65190 | miio/airhumidifier.py | python | AirHumidifierStatus.child_lock | (self) | return self.data["child_lock"] == "on" | Return True if child lock is on. | Return True if child lock is on. | [
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miracle2k/k8s-snapshots | 9dbb5fc3a99c847f696d35549ff751f994585012 | k8s_snapshots/backends/google.py | python | get_gcloud | (ctx, version: str= 'v1') | return compute | Get a configured Google Compute API Client instance.
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Get a configured Google Compute API Client instance.
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fwenzel/django-sha2 | f4519bf0cc9b1dd7a7d78394fa4aec4504bc86e9 | django_sha2/hashers.py | python | BcryptHMACCombinedPasswordVerifier._hmac_create | (self, password, shared_key) | return hmac_value | Create HMAC value based on pwd | Create HMAC value based on pwd | [
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wwqgtxx/wwqLyParse | 33136508e52821babd9294fdecffbdf02d73a6fc | wwqLyParse/lib/aiohttp_lib/aiohttp/web_urldispatcher.py | python | UrlDispatcher.add_post | (self, path: str, handler: _WebHandler,
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Tautulli/Tautulli | 2410eb33805aaac4bd1c5dad0f71e4f15afaf742 | lib/urllib3/contrib/pyopenssl.py | python | _verify_callback | (cnx, x509, err_no, err_depth, return_code) | return err_no == 0 | [] | def _verify_callback(cnx, x509, err_no, err_depth, return_code):
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NordicSemiconductor/pc-nrfutil | d08e742128f2a3dac522601bc6b9f9b2b63952df | nordicsemi/thread/ncp_flasher.py | python | NCPFlasher.verify | (self, path) | return self.call_cmd(args) | [] | def verify(self, path):
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huggingface/transformers | 623b4f7c63f60cce917677ee704d6c93ee960b4b | examples/research_projects/longform-qa/eli5_utils.py | python | embed_passages_for_retrieval | (passages, tokenizer, qa_embedder, max_length=128, device="cuda:0") | return a_reps.numpy() | [] | def embed_passages_for_retrieval(passages, tokenizer, qa_embedder, max_length=128, device="cuda:0"):
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CGATOxford/cgat | 326aad4694bdfae8ddc194171bb5d73911243947 | obsolete/pipeline_vitaminD.py | python | runBioProspector | ( infiles, outfile ) | run bioprospector for motif discovery.
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Bioprospector is run on only the top 10% of peaks.
'''
to_cluster = True
# only use new nodes, as /bin/csh is not installed
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job_options = "-l mem_free=8000M"
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dib-lab/khmer | fb65d21eaedf0d397d49ae3debc578897f9d6eb4 | khmer/_version.py | python | git_get_keywords | (versionfile_abs) | return keywords | Extract version information from the given file. | Extract version information from the given file. | [
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fake-name/ReadableWebProxy | ed5c7abe38706acc2684a1e6cd80242a03c5f010 | WebMirror/management/rss_parser_funcs/feed_parse_extractSkinnarviksbergetWordpressCom.py | python | extractSkinnarviksbergetWordpressCom | (item) | return False | Parser for 'skinnarviksberget.wordpress.com' | Parser for 'skinnarviksberget.wordpress.com' | [
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ArunMichaelDsouza/tensorflow-image-detection | cbc4afd9bb9dfe26e6a2a6fa8a823bf556aa2367 | retrain.py | python | add_input_distortions | (flip_left_right, random_crop, random_scale,
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yahoo/open_nsfw | a4e13931465f4380742545932657eeea0a10aa48 | classify_nsfw.py | python | caffe_preprocess_and_compute | (pimg, caffe_transformer=None, caffe_net=None,
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sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/functions/other.py | python | Function_cases._print_latex_ | (self, l, **kwargs) | return str[:-2] + r"\end{cases}" | r"""
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sage: latex(ex)
\begin{cases}{\pi} & {x = 0}\\{0} & {1}\end{cases}
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andresriancho/w3af | cd22e5252243a87aaa6d0ddea47cf58dacfe00a9 | w3af/plugins/attack/xpath.py | python | IsErrorResponse.__reduce__ | (self) | return self.__class__, (self.vuln_obj, None, self.use_difflib) | @see: Shell.__reduce__ to understand why this is required. | [] | def __reduce__(self):
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log2timeline/plaso | fe2e316b8c76a0141760c0f2f181d84acb83abc2 | plaso/formatters/interface.py | python | ConditionalEventFormatter.GetMessageShort | (self, event_values) | return short_message_string | Determines the short message.
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omz/PythonistaAppTemplate | f560f93f8876d82a21d108977f90583df08d55af | PythonistaAppTemplate/PythonistaKit.framework/pylib/site-packages/html2text.py | python | google_list_style | (style) | return 'ol' | finds out whether this is an ordered or unordered list | finds out whether this is an ordered or unordered list | [
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holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/sympy/matrices/common.py | python | MatrixProperties.is_symbolic | (self) | return self._eval_is_symbolic() | Checks if any elements contain Symbols.
Examples
========
>>> from sympy.matrices import Matrix
>>> from sympy.abc import x, y
>>> M = Matrix([[x, y], [1, 0]])
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tribe29/checkmk | 6260f2512e159e311f426e16b84b19d0b8e9ad0c | cmk/gui/plugins/openapi/restful_objects/decorators.py | python | _verify_parameters | (
path: str,
path_schema: Optional[Type[Schema]],
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python-telegram-bot/python-telegram-bot | ade1529986f5b6d394a65372d6a27045a70725b2 | telegram/ext/picklepersistence.py | python | PicklePersistence.update_chat_data | (self, chat_id: int, data: CD) | Will update the chat_data and depending on :attr:`on_flush` save the pickle file.
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data (:class:`telegram.ext.utils.types.CD`): The
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llSourcell/AI_Artist | 3038c06c2e389b9c919c881c9a169efe2fd7810e | lib/python2.7/site-packages/pip/baseparser.py | python | ConfigOptionParser._update_defaults | (self, defaults) | return defaults | Updates the given defaults with values from the config files and
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simetenn/uncertainpy | ffb2400289743066265b9a8561cdf3b72e478a28 | src/uncertainpy/plotting/plot_uncertainty.py | python | PlotUncertainty.plot_all_sensitivities | (self) | Plot the results for all model/features, with all sensitivities.
Raises
------
ValueError
If a Datafile is not loaded. | Plot the results for all model/features, with all sensitivities. | [
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"""
Plot the results for all model/features, with all sensitivities.
Raises
------
ValueError
If a Datafile is not loaded.
"""
if self.data is None:
raise ValueError("Datafile must be loaded.")
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timonwong/OmniMarkupPreviewer | 21921ac7a99d2b5924a2219b33679a5b53621392 | OmniMarkupLib/Renderers/libs/python3/docutils/utils/math/math2html.py | python | MacroFunction.completemacro | (self, macro) | Complete the macro with the parameters read. | Complete the macro with the parameters read. | [
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makerbot/ReplicatorG | d6f2b07785a5a5f1e172fb87cb4303b17c575d5d | skein_engines/skeinforge-47/skeinforge_application/skeinforge_plugins/craft_plugins/fill.py | python | isSharpCorner | ( beginComplex, centerComplex, endComplex ) | return euclidean.getDotProduct( centerBeginComplex, centerEndComplex ) > 0.9 | Determine if the three complex points form a sharp corner. | Determine if the three complex points form a sharp corner. | [
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'Determine if the three complex points form a sharp corner.'
centerBeginComplex = beginComplex - centerComplex
centerEndComplex = endComplex - centerComplex
centerBeginLength = abs( centerBeginComplex )
centerEndLength = abs( centerEndComplex )
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microsoft/unilm | 65f15af2a307ebb64cfb25adf54375b002e6fe8d | xtune/src/transformers/data/processors/xglue.py | python | NcProcessor.get_labels | (self) | return ['foodanddrink', 'sports', 'news', 'entertainment', 'health', 'video', 'finance', 'travel', 'lifestyle',
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"""See base class."""
return ['foodanddrink', 'sports', 'news', 'entertainment', 'health', 'video', 'finance', 'travel', 'lifestyle',
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pwnieexpress/pwn_plug_sources | 1a23324f5dc2c3de20f9c810269b6a29b2758cad | src/metagoofil/downloader.py | python | downloader.down | (self) | [] | def down(self):
if os.path.exists(self.dir+"/"+self.filename):
pass
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IronLanguages/ironpython3 | 7a7bb2a872eeab0d1009fc8a6e24dca43f65b693 | Src/StdLib/Lib/mailbox.py | python | Mailbox.__delitem__ | (self, key) | [] | def __delitem__(self, key):
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jgagneastro/coffeegrindsize | 22661ebd21831dba4cf32bfc6ba59fe3d49f879c | App/dist/coffeegrindsize.app/Contents/Resources/lib/python3.7/pandas/core/indexing.py | python | _iLocIndexer._validate_integer | (self, key, axis) | Check that 'key' is a valid position in the desired axis.
Parameters
----------
key : int
Requested position
axis : int
Desired axis
Returns
-------
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Raises
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"""
Check that 'key' is a valid position in the desired axis.
Parameters
----------
key : int
Requested position
axis : int
Desired axis
Returns
-------
None
Raises
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svpcom/wifibroadcast | 51251b8c484b8c4f548aa3bbb1633e0edbb605dc | telemetry/mavlink.py | python | MAVLink.orbit_execution_status_send | (self, time_usec, radius, frame, x, y, z, force_mavlink1=False) | return self.send(self.orbit_execution_status_encode(time_usec, radius, frame, x, y, z), force_mavlink1=force_mavlink1) | Vehicle status report that is sent out while orbit execution is in
progress (see MAV_CMD_DO_ORBIT).
time_usec : Timestamp (UNIX Epoch time or time since system boot). The receiving end can infer timestamp format (since 1.1.1970 or since system boot) by checking for the m... | Vehicle status report that is sent out while orbit execution is in
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'''
Vehicle status report that is sent out while orbit execution is in
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RaRe-Technologies/gensim | 8b8203d8df354673732dff635283494a33d0d422 | gensim/similarities/termsim.py | python | _normalize_sparse_corpus | (corpus, matrix, normalization) | return normalized_corpus | Normalize a sparse corpus after a change of basis.
Parameters
----------
corpus : MxN :class:`scipy.sparse.csc_matrix`
A sparse corpus.
matrix : NxN :class:`scipy.sparse.csc_matrix`
A change-of-basis matrix.
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] | def _normalize_sparse_corpus(corpus, matrix, normalization):
"""Normalize a sparse corpus after a change of basis.
Parameters
----------
corpus : MxN :class:`scipy.sparse.csc_matrix`
A sparse corpus.
matrix : NxN :class:`scipy.sparse.csc_matrix`
A change-of-basis matrix.
normali... | [
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paramiko/paramiko | 88f35a537428e430f7f26eee8026715e357b55d6 | paramiko/util.py | python | lookup_ssh_host_config | (hostname, config) | return config.lookup(hostname) | Provided only as a backward-compatible wrapper around `.SSHConfig`. | Provided only as a backward-compatible wrapper around `.SSHConfig`. | [
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Provided only as a backward-compatible wrapper around `.SSHConfig`.
"""
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haiwen/seafile-docker | 2d2461d4c8cab3458ec9832611c419d47506c300 | scripts_8.0/setup-seafile-mysql.py | python | InvalidParams.__init__ | (self, msg) | [] | def __init__(self, msg):
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tomplus/kubernetes_asyncio | f028cc793e3a2c519be6a52a49fb77ff0b014c9b | kubernetes_asyncio/client/models/v1_pod_list.py | python | V1PodList.to_str | (self) | return pprint.pformat(self.to_dict()) | Returns the string representation of the model | Returns the string representation of the model | [
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KalleHallden/AutoTimer | 2d954216700c4930baa154e28dbddc34609af7ce | env/lib/python2.7/site-packages/objc/_properties.py | python | set_proxy.symmetric_difference_update | (self, other) | [] | def symmetric_difference_update(self, other):
# NOTE: This method does not call the corresponding method
# of the wrapped set to ensure that we generate the right
# notifications.
if self._ro:
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entropy1337/infernal-twin | 10995cd03312e39a48ade0f114ebb0ae3a711bb8 | Modules/build/pillow/PIL/Image.py | python | Image.rotate | (self, angle, resample=NEAREST, expand=0) | return self._new(self.im.rotate(angle, resample)) | Returns a rotated copy of this image. This method returns a
copy of this image, rotated the given number of degrees counter
clockwise around its centre.
:param angle: In degrees counter clockwise.
:param resample: An optional resampling filter. This can be
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Returns a rotated copy of this image. This method returns a
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django/channels | 6af1bc3ab45f55e3f47d0d1d059d5db0a18a9581 | channels/generic/websocket.py | python | AsyncWebsocketConsumer.websocket_receive | (self, message) | Called when a WebSocket frame is received. Decodes it and passes it
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"""
Called when a WebSocket frame is received. Decodes it and passes it
to receive().
"""
if "text" in message:
await self.receive(text_data=message["text"])
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fake-name/ReadableWebProxy | ed5c7abe38706acc2684a1e6cd80242a03c5f010 | WebMirror/management/rss_parser_funcs/feed_parse_extractImemotranslationsCom.py | python | extractImemotranslationsCom | (item) | return False | Parser for 'imemotranslations.com' | Parser for 'imemotranslations.com' | [
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] | def extractImemotranslationsCom(item):
'''
Parser for 'imemotranslations.com'
'''
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
tagmap = [
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chribsen/simple-machine-learning-examples | dc94e52a4cebdc8bb959ff88b81ff8cfeca25022 | venv/lib/python2.7/site-packages/pandas/core/groupby.py | python | Grouper._get_grouper | (self, obj) | return self.binner, self.grouper, self.obj | Parameters
----------
obj : the subject object
Returns
-------
a tuple of binner, grouper, obj (possibly sorted) | Parameters
----------
obj : the subject object | [
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"""
Parameters
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obj : the subject object
Returns
-------
a tuple of binner, grouper, obj (possibly sorted)
"""
self._set_grouper(obj)
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home-assistant/core | 265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1 | homeassistant/helpers/entity_registry.py | python | EntityRegistry.async_clear_area_id | (self, area_id: str) | Clear area id from registry entries. | Clear area id from registry entries. | [
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for entity_id, entry in self.entities.items():
if area_id == entry.area_id:
self.async_update_entity(entity_id, area_id=None) | [
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... | https://github.com/home-assistant/core/blob/265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1/homeassistant/helpers/entity_registry.py#L656-L660 | ||
twilio/twilio-python | 6e1e811ea57a1edfadd5161ace87397c563f6915 | twilio/rest/preview/wireless/rate_plan.py | python | RatePlanPage.get_instance | (self, payload) | return RatePlanInstance(self._version, payload, ) | Build an instance of RatePlanInstance
:param dict payload: Payload response from the API
:returns: twilio.rest.preview.wireless.rate_plan.RatePlanInstance
:rtype: twilio.rest.preview.wireless.rate_plan.RatePlanInstance | Build an instance of RatePlanInstance | [
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"""
Build an instance of RatePlanInstance
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:returns: twilio.rest.preview.wireless.rate_plan.RatePlanInstance
:rtype: twilio.rest.preview.wireless.rate_plan.RatePlanInstance
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adobe/ops-cli | 2384257c4199b3ff37e366f48b4dfce3ac282524 | src/ops/terraform/terraform_cmd_generator.py | python | TerraformCommandGenerator.set_current_working_dir | (self) | [] | def set_current_working_dir(self):
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rembo10/headphones | b3199605be1ebc83a7a8feab6b1e99b64014187c | lib/feedparser.py | python | _MicroformatsParser.normalize | (self, s) | return re.sub(r'\s+', ' ', s).strip() | [] | def normalize(self, s):
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kuri65536/python-for-android | 26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891 | python3-alpha/python-libs/gdata/apps/emailsettings/data.py | python | EmailSettingsSendAsAlias.__init__ | (self, uri=None, name=None, address=None, reply_to=None,
make_default=None, *args, **kwargs) | Constructs a new EmailSettingsSendAsAlias object with the given
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twilio/twilio-python | 6e1e811ea57a1edfadd5161ace87397c563f6915 | twilio/rest/chat/v2/credential.py | python | CredentialInstance.update | (self, friendly_name=values.unset, certificate=values.unset,
private_key=values.unset, sandbox=values.unset, api_key=values.unset,
secret=values.unset) | return self._proxy.update(
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api_key=api_key,
secret=secret,
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:param unicode friendly_name: A string to describe the resource
:param unicode certificate: [APN only] The URL encoded representation of the certificate
:param unicode private_key: [APN only] The URL encoded representation of the private key
:param bool san... | Update the CredentialInstance | [
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"""
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cylc/cylc-flow | 5ec221143476c7c616c156b74158edfbcd83794a | cylc/flow/network/publisher.py | python | WorkflowPublisher.__init__ | (self, workflow, context=None, barrier=None,
threaded=True, daemon=False) | [] | def __init__(self, workflow, context=None, barrier=None,
threaded=True, daemon=False):
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caiiiac/Machine-Learning-with-Python | 1a26c4467da41ca4ebc3d5bd789ea942ef79422f | MachineLearning/venv/lib/python3.5/site-packages/scipy/optimize/nonlin.py | python | LowRankMatrix.restart_reduce | (self, rank) | Reduce the rank of the matrix by dropping all vectors. | Reduce the rank of the matrix by dropping all vectors. | [
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Reduce the rank of the matrix by dropping all vectors.
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if self.collapsed is not None:
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mrkipling/maraschino | c6be9286937783ae01df2d6d8cebfc8b2734a7d7 | lib/sqlalchemy/sql/expression.py | python | extract | (field, expr) | return _Extract(field, expr) | Return the clause ``extract(field FROM expr)``. | Return the clause ``extract(field FROM expr)``. | [
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buildbot/buildbot | b9c558217c72e4c2463eedc7ec6d56736f7b01a8 | master/buildbot/util/__init__.py | python | flattened_iterator | (l, types=(list, tuple)) | Generator for a list/tuple that potentially contains nested/lists/tuples of arbitrary nesting
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# [(5, 6, [8, 3]), 2, [2, 1, (3, 4)]] will yield 5, 6, 8, 3, 2, 2, 1, 3, 4
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spyder-ide/spyder | 55da47c032dfcf519600f67f8b30eab467f965e7 | spyder/plugins/workingdirectory/plugin.py | python | WorkingDirectory.load_history | (self, workdir=None) | return history | Load history from a text file located in Spyder configuration folder
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workdir: str
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Load history from a text file located in Spyder configuration folder
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workdir: str
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mystor/git-revise | c06c8003870c776376e5f7bc4dd9f4dc97714b7c | gitrevise/odb.py | python | Signature.signing_key | (self) | return match.group("signing_key").strip() | user name <email> | user name <email> | [
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] | def signing_key(self) -> bytes:
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assert match, "invalid signature"
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theotherp/nzbhydra | 4b03d7f769384b97dfc60dade4806c0fc987514e | libs/threading.py | python | _BoundedSemaphore.release | (self) | Release a semaphore, incrementing the internal counter by one.
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tensorflow/lingvo | ce10019243d954c3c3ebe739f7589b5eebfdf907 | lingvo/jax/optimizers.py | python | _ShardedAdamHelper.bias_corrected_decay | (self, step: JTensor, decay: float) | return decay * (1. - jnp.power(decay, t - 1.)) / (1. - jnp.power(decay, t)) | Incorporates bias correction into decay.
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without fur... | Incorporates bias correction into decay. | [
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cloudera/hue | 23f02102d4547c17c32bd5ea0eb24e9eadd657a4 | desktop/core/ext-py/boto-2.46.1/boto/route53/zone.py | python | Zone.add_a | (self, name, value, ttl=None, identifier=None, comment="") | return self.add_record(resource_type='A',
name=name,
value=value,
ttl=ttl,
identifier=identifier,
comment=comment) | Add a new A record to this Zone. See _new_record for
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Add a new A record to this Zone. See _new_record for
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ttl = ttl or default_ttl
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kubernetes-client/python | 47b9da9de2d02b2b7a34fbe05afb44afd130d73a | kubernetes/client/models/v1_delete_options.py | python | V1DeleteOptions.api_version | (self) | return self._api_version | Gets the api_version of this V1DeleteOptions. # noqa: E501
APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-arc... | Gets the api_version of this V1DeleteOptions. # noqa: E501 | [
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SteveDoyle2/pyNastran | eda651ac2d4883d95a34951f8a002ff94f642a1a | pyNastran/bdf/cards/aero/aero.py | python | AELINK.cross_reference | (self, model: BDF) | We're simply going to validate the labels | We're simply going to validate the labels | [
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sid_ref = model.trims[self.aelink_id]
independent_label_ref = model.AESurf(self.label, msg=f'which is required by {str(self)}') | [
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openshift/openshift-tools | 1188778e728a6e4781acf728123e5b356380fe6f | openshift/installer/vendored/openshift-ansible-3.9.40/roles/lib_vendored_deps/library/oc_pvc.py | python | Yedit.get_curr_value | (invalue, val_type) | return curr_value | return the current value | return the current value | [
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omz/PythonistaAppTemplate | f560f93f8876d82a21d108977f90583df08d55af | PythonistaAppTemplate/PythonistaKit.framework/pylib_ext/numpy/matlib.py | python | empty | (shape, dtype=None, order='C') | return ndarray.__new__(matrix, shape, dtype, order=order) | Return a new matrix of given shape and type, without initializing entries.
Parameters
----------
shape : int or tuple of int
Shape of the empty matrix.
dtype : data-type, optional
Desired output data-type.
order : {'C', 'F'}, optional
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Return a new matrix of given shape and type, without initializing entries.
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shape : int or tuple of int
Shape of the empty matrix.
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llSourcell/AI_Artist | 3038c06c2e389b9c919c881c9a169efe2fd7810e | lib/python2.7/site-packages/pip/_vendor/pkg_resources/__init__.py | python | _macosx_arch | (machine) | return {'PowerPC': 'ppc', 'Power_Macintosh': 'ppc'}.get(machine, machine) | [] | def _macosx_arch(machine):
return {'PowerPC': 'ppc', 'Power_Macintosh': 'ppc'}.get(machine, machine) | [
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plaid/plaid-python | 8c60fca608e426f3ff30da8857775946d29e122c | plaid/model/item_get_request.py | python | ItemGetRequest.openapi_types | () | return {
'access_token': (str,), # noqa: E501
'client_id': (str,), # noqa: E501
'secret': (str,), # noqa: E501
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wanggrun/Adaptively-Connected-Neural-Networks | e27066ef52301bdafa5932f43af8feeb23647edb | tensorpack-installed/tensorpack/utils/timer.py | python | print_total_timer | () | Print the content of the TotalTimer, if it's not empty. This function will automatically get
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] | def print_total_timer():
"""
Print the content of the TotalTimer, if it's not empty. This function will automatically get
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"""
if len(_TOTAL_TIMER_DATA) == 0:
return
for k, v in six.iteritems(_TOTAL_TIMER_DATA):
logger.info("Total Time: {} -> {:.2f} sec,... | [
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redis/redis-py | 0affa0ed3f3cbcb6dec29b34a580f769f69ae9f7 | redis/cluster.py | python | ClusterPipeline.pipeline_execute_command | (self, *args, **options) | return self | Appends the executed command to the pipeline's command stack | Appends the executed command to the pipeline's command stack | [
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"""
Appends the executed command to the pipeline's command stack
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self.command_stack.append(
PipelineCommand(args, options, len(self.command_stack))
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andresriancho/w3af | cd22e5252243a87aaa6d0ddea47cf58dacfe00a9 | w3af/plugins/crawl/oracle_discovery.py | python | oracle_discovery.send_and_check | (self, url) | [] | def send_and_check(self, url):
response = self.http_get_and_parse(url)
for regex in self.ORACLE_RE:
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PolyAI-LDN/conversational-datasets | 50f626ad0d0e825835bd054f6a58006afa95a8e5 | baselines/vector_based.py | python | VectorMappingMethod._create_train_and_dev | (self, contexts, responses) | return train_test_split(
context_encodings, response_encodings,
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glog.info("Encoding the train set.")
context_encodings = []
response_encodings = []
for i in tqdm(range(0, len(contexts), self._ENCODING_BATCH_SIZE)):
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openshift/openshift-tools | 1188778e728a6e4781acf728123e5b356380fe6f | scripts/monitoring/cron-send-docker-grpc.py | python | parse_args | () | return arg | parse the args from the cli | parse the args from the cli | [
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parser.add_argument('--debug', action='store_true', default=None, help='Debug?')
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cournape/Bento | 37de23d784407a7c98a4a15770ffc570d5f32d70 | bento/private/_yaku/yaku/context.py | python | ConfigureContext.start_message | (self, msg) | [] | def start_message(self, msg):
_OUTPUT.write(msg + "... ")
self.log.write("=" * 79 + "\n")
self.log.write("%s\n" % msg) | [
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saltstack/salt | fae5bc757ad0f1716483ce7ae180b451545c2058 | salt/utils/memcached.py | python | _check_stats | (conn) | return stats | Helper function to check the stats data passed into it, and raise an
exception if none are returned. Otherwise, the stats are returned. | Helper function to check the stats data passed into it, and raise an
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] | def _check_stats(conn):
"""
Helper function to check the stats data passed into it, and raise an
exception if none are returned. Otherwise, the stats are returned.
"""
stats = conn.get_stats()
if not stats:
raise CommandExecutionError("memcached server is down or does not exist")
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mayank93/Twitter-Sentiment-Analysis | f095c6ca6bf69787582b5dabb140fefaf278eb37 | front-end/web2py/gluon/contrib/gateways/fcgi.py | python | Connection._do_stdin | (self, inrec) | Handle the FCGI_STDIN stream. | Handle the FCGI_STDIN stream. | [
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] | def _do_stdin(self, inrec):
"""Handle the FCGI_STDIN stream."""
req = self._requests.get(inrec.requestId)
if req is not None:
req.stdin.add_data(inrec.contentData) | [
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Fantomas42/django-blog-zinnia | 881101a9d1d455b2fc581d6f4ae0947cdd8126c6 | zinnia/preview.py | python | HTMLPreview.has_more | (self) | return bool(self.content and self.preview != self.content) | Boolean telling if the preview has hidden content. | Boolean telling if the preview has hidden content. | [
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"""
Boolean telling if the preview has hidden content.
"""
return bool(self.content and self.preview != self.content) | [
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vulscanteam/vulscan | 787397e267c4e6469522ee0abe55b3e98f968d4a | pocsuite/thirdparty/requests/sessions.py | python | Session.mount | (self, prefix, adapter) | Registers a connection adapter to a prefix.
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self.adapters[prefix] = adapter
keys_to_move = [k for k in self.adapters if len(k) < len(prefix)]
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natashamjaques/neural_chat | ddb977bb4602a67c460d02231e7bbf7b2cb49a97 | ParlAI/parlai/core/torch_agent.py | python | TorchAgent._get_init_model | (self, opt, shared) | return init_model, is_finetune | Get model file to initialize with.
If `init_model` exits, we will return the path to that file and maybe
load dict file from that path. Otherwise, use `model_file.`
:return: path to load model from, whether we loaded from `init_model`
or not | Get model file to initialize with. | [
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] | def _get_init_model(self, opt, shared):
"""
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awslabs/deeplearning-benchmark | 3e9a906422b402869537f91056ae771b66487a8e | tensorflow_benchmark/tf_cnn_benchmarks/cnn_util.py | python | ImageProducer.start | (self) | Start the image producer. | Start the image producer. | [
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self.thread = threading.Thread(target=self._loop_producer)
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self.thread.daemon = True
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neulab/xnmt | d93f8f3710f986f36eb54e9ff3976a6b683da2a4 | xnmt/thirdparty/charcut/charcut.py | python | read_gz8 | (filename) | Read a utf8, possibly gzipped, file into memory, as a list of lines. | Read a utf8, possibly gzipped, file into memory, as a list of lines. | [
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] | def read_gz8(filename):
"""Read a utf8, possibly gzipped, file into memory, as a list of lines."""
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return [line for line in f] | [
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