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wistbean/learn_python3_spider | 73c873f4845f4385f097e5057407d03dd37a117b | stackoverflow/venv/lib/python3.6/site-packages/zope/interface/advice.py | python | isClassAdvisor | (ob) | return isinstance(ob,FunctionType) and hasattr(ob,'previousMetaclass') | True if 'ob' is a class advisor function | True if 'ob' is a class advisor function | [
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SHI-Labs/Decoupled-Classification-Refinement | 16202b48eb9cbf79a9b130a98e8c209d4f24693e | fpn_dcr/core/module.py | python | MutableModule.fit | (self, train_data, eval_data=None, eval_metric='acc',
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oilshell/oil | 94388e7d44a9ad879b12615f6203b38596b5a2d3 | Python-2.7.13/Parser/asdl_c.py | python | StaticVisitor.visit | (self, object) | [] | def visit(self, object):
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sourmash-bio/sourmash | 73aeb155befd7c94042ddb8ca277a69986f25a55 | src/sourmash/minhash.py | python | MinHash.to_mutable | (self) | return self.__copy__() | Return a copy of this MinHash that can be changed. | Return a copy of this MinHash that can be changed. | [
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LinkedInAttic/naarad | 261e2c0760fd6a6b0ee59064180bd8e3674311fe | src/naarad/utils.py | python | init_logging | (logger, log_file, log_level) | return CONSTANTS.OK | Initialize the naarad logger.
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tdamdouni/Pythonista | 3e082d53b6b9b501a3c8cf3251a8ad4c8be9c2ad | ui/viewcontroller.py | python | ViewController.bind_actions | (self, view_name, actions) | return | Binds view actions (button presses, etc) to methods of the derived class.
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buke/GreenOdoo | 3d8c55d426fb41fdb3f2f5a1533cfe05983ba1df | runtime/python/lib/python2.7/email/message.py | python | Message.set_default_type | (self, ctype) | Set the `default' content type.
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GalSim-developers/GalSim | a05d4ec3b8d8574f99d3b0606ad882cbba53f345 | galsim/phase_screens.py | python | UserScreen.wavefront_gradient | (self, u, v, t=None, theta=None) | return self.table.gradient(u, v) | Evaluate gradient of wavefront from lookup table.
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google/grr | 8ad8a4d2c5a93c92729206b7771af19d92d4f915 | grr/config/grr_response_templates/setup.py | python | Sdist.make_release_tree | (self, base_dir, files) | [] | def make_release_tree(self, base_dir, files):
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sdist_version_ini = os.path.join(base_dir, "version.ini")
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pyscf/pyscf | 0adfb464333f5ceee07b664f291d4084801bae64 | pyscf/pbc/tools/pywannier90.py | python | W90.get_M_mat | (self) | return M_matrix_loc | r'''
Construct the ovelap matrix: M_{m,n}^{(\mathbf{k,b})}
Equation (25) in MV, Phys. Rev. B 56, 12847 | r'''
Construct the ovelap matrix: M_{m,n}^{(\mathbf{k,b})}
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deepgully/me | f7ad65edc2fe435310c6676bc2e322cfe5d4c8f0 | libs/sqlalchemy/sql/elements.py | python | AnnotatedColumnElement.name | (self) | return self._Annotated__element.name | pull 'name' from parent, if not present | pull 'name' from parent, if not present | [
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securesystemslab/zippy | ff0e84ac99442c2c55fe1d285332cfd4e185e089 | zippy/lib-python/3/zipfile.py | python | ZipExtFile.close | (self) | [] | def close(self):
try:
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self._fileobj.close()
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PaddlePaddle/PARL | 5fb7a5d2b5d0f0dac57fdf4acb9e79485c7efa96 | examples/Baselines/Halite_competition/paddle/rl_trainer/algorithm.py | python | PPO.learn | (self, obs_batch, actions_batch, value_preds_batch, return_batch,
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actions_batch (paddle.tensor): a batch of actions
value_preds_batch (paddle.tensor): a batch of predicted state value
return_batch (paddle.tensor): a batch of discounted return
... | Update rule for ppo algorithm
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actions_batch (paddle.tensor): a batch of actions
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caiiiac/Machine-Learning-with-Python | 1a26c4467da41ca4ebc3d5bd789ea942ef79422f | MachineLearning/venv/lib/python3.5/site.py | python | fixclasspath | () | Adjust the special classpath sys.path entries for Jython. These
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dragonfly/dragonfly | a579b5eadf452e23b07d4caf27b402703b0012b7 | dragonfly/opt/opt_method_evaluator.py | python | OptMethodEvaluator._print_method_result | (self, method, comp_opt_val, num_evals) | Prints the result for this method. | Prints the result for this method. | [
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laspy/laspy | c9d9b9c0e8d84288134c02bf4ecec3964f5afa29 | laspy/lasreader.py | python | UncompressedPointReader.close | (self) | [] | def close(self):
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SanPen/GridCal | d3f4566d2d72c11c7e910c9d162538ef0e60df31 | src/GridCal/Engine/IO/cim/cim_devices.py | python | GeneralContainer.get_xml | (self, level=0) | return xml | Returns an XML representation of the object
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epiception/CalibNet | a4ae349867d6bbf13a4add671b1cb2636eb29e6f | code/utils/tf_util2.py | python | fully_connected | (inputs,
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use_xavier=True,
stddev=1e-3,
weight_decay=0.00001,
activation_fn=tf.nn.relu,
bn=False,
bn_decay=None,
use_bias... | Fully connected layer with non-linear operation.
Args:
inputs: 2-D tensor BxN
num_outputs: int
Returns:
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use_xavier=True,
stddev=1e-3,
weight_decay=0.00001,
activation_fn=tf.nn.relu,
bn=False,
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sfyc23/WechatAddGroupHelper | 2a2e83150f11d5baa7bd6b356ecad1b5b15f760c | WechatAddGroupHelper.py | python | stop_scheduler | () | 关闭定时器 | 关闭定时器 | [
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""" 关闭定时器 """
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deanishe/alfred-convert | 97407f4ec8dbca5abbc6952b2b56cf3918624177 | src/workflow/workflow.py | python | Workflow._default_datadir | (self) | return os.path.join(os.path.expanduser(
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unix121/i3wm-themer | 3ee6b6e22d259ec7a2a12b40bf9e25830a2aabce | i3wmthemer/models/theme.py | python | Theme.load | (self, configuration) | Batch apply all the themes.
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Batch apply all the themes.
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tp4a/teleport | 1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad | server/www/packages/packages-windows/x86/idna/intranges.py | python | intranges_contain | (int_, ranges) | return False | Determine if `int_` falls into one of the ranges in `ranges`. | Determine if `int_` falls into one of the ranges in `ranges`. | [
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tuple_ = _encode_range(int_, 0)
pos = bisect.bisect_left(ranges, tuple_)
# we could be immediately ahead of a tuple (start, end)
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analysiscenter/batchflow | 294747da0bca309785f925be891441fdd824e9fa | batchflow/sampler.py | python | ApplySampler.sample | (self, size) | return self.transform(self.bases[0].sample(size)) | Sampling procedure of a sampler subjugated to a transform. Check out the docstring of
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scipy/scipy | e0a749f01e79046642ccfdc419edbf9e7ca141ad | benchmarks/benchmarks/go_benchmark_functions/go_benchmark.py | python | Benchmark.N | (self) | return self._dimensions | The dimensionality of the problem.
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yoda-pa/yoda | e6b4325737b877488af4d1bf0b86eb1d98b88aed | modules/ciphers/caesar.py | python | CaesarCipher.encrypt | (self, message) | return encrypted_text | Asks the user for the alphabet shift and then encrypts the text. | Asks the user for the alphabet shift and then encrypts the text. | [
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"""
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"""
message = message.upper()
shift = int(click.prompt("The shift value"))
encryption_dictionary, _ = self.generate_alphabets(shift)
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robotlearn/pyrobolearn | 9cd7c060723fda7d2779fa255ac998c2c82b8436 | pyrobolearn/losses/loss.py | python | Loss.latex | (self) | Return a latex formula of the loss. | Return a latex formula of the loss. | [
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misterch0c/shadowbroker | e3a069bea47a2c1009697941ac214adc6f90aa8d | windows/Resources/Python/Core/Lib/decimal.py | python | Decimal.as_tuple | (self) | return DecimalTuple(self._sign, tuple(map(int, self._int)), self._exp) | Represents the number as a triple tuple.
To show the internals exactly as they are. | Represents the number as a triple tuple.
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return DecimalTuple(self._sign, tuple(map(int, self._int)), self._exp) | [
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wistbean/learn_python3_spider | 73c873f4845f4385f097e5057407d03dd37a117b | stackoverflow/venv/lib/python3.6/site-packages/pymongo/read_preferences.py | python | _ServerMode.__getstate__ | (self) | return {'mode': self.__mode,
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xolox/python-rotate-backups | 32e966c000eb657da02122ff8e478a98aa8b8d30 | rotate_backups/__init__.py | python | Location.ensure_readable | (self, override=False) | return False | Sanity check that the location exists and is readable.
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wwqgtxx/wwqLyParse | 33136508e52821babd9294fdecffbdf02d73a6fc | wwqLyParse/lib/python-3.7.2-embed-amd64/Crypto/Hash/SHA3_224.py | python | SHA3_224_Hash.new | (self) | return type(self)(None, self._update_after_digest) | Create a fresh SHA3-224 hash object. | Create a fresh SHA3-224 hash object. | [
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dsoprea/GDriveFS | d307b043ebc235d6444c8c1ae2e0bbb860e788a0 | gdrivefs/opened_file.py | python | _OpenedManager.add | (self, opened_file, fh=None) | Registered an OpenedFile object. | Registered an OpenedFile object. | [
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] | def add(self, opened_file, fh=None):
"""Registered an OpenedFile object."""
cls = self.__class__
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theotherp/nzbhydra | 4b03d7f769384b97dfc60dade4806c0fc987514e | libs/_osx_support.py | python | _find_appropriate_compiler | (_config_vars) | return _config_vars | Find appropriate C compiler for extension module builds | Find appropriate C compiler for extension module builds | [
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# Issue #13590:
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CGATOxford/cgat | 326aad4694bdfae8ddc194171bb5d73911243947 | obsolete/PipelineAnnotator.py | python | buildAnnotatorWorkSpace | (tmpdir,
outfile,
workspaces=("genomic",),
gc_control = False) | return tmpworkspaces, tmpsynonyms | write genomic workspace.
Available workspaces are:
genomic
the full genome
all
is ignored
intronic
introns (requires annotator_regions to be set)
intergenic
introns (requires annotator_regions to be set)
geneterritories
introns (requires annotator_geneterrito... | write genomic workspace. | [
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] | def buildAnnotatorWorkSpace(tmpdir,
outfile,
workspaces=("genomic",),
gc_control = False):
'''write genomic workspace.
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the full genome
all
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larryhastings/gilectomy | 4315ec3f1d6d4f813cc82ce27a24e7f784dbfc1a | Lib/ipaddress.py | python | IPv4Address.is_unspecified | (self) | return self == self._constants._unspecified_address | Test if the address is unspecified.
Returns:
A boolean, True if this is the unspecified address as defined in
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"""
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pyrocko/pyrocko | b6baefb7540fb7fce6ed9b856ec0c413961a4320 | src/moment_tensor.py | python | MomentTensor.moment_magnitude | (self) | return moment_to_magnitude(self.scalar_moment()) | Get moment magnitude of moment tensor. | Get moment magnitude of moment tensor. | [
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Get moment magnitude of moment tensor.
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quantopian/trading_calendars | 19c4b677f13147928d34be5a3da50ba4161be45d | trading_calendars/exchange_calendar_xasx.py | python | XASXExchangeCalendar.adhoc_holidays | (self) | return [EasterTuesday2011AdHoc, NYEMonday1984AdHoc,
NYEMonday1990AdHoc, Bicentennial1988, Y2KTesting] | [] | def adhoc_holidays(self):
return [EasterTuesday2011AdHoc, NYEMonday1984AdHoc,
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tanghaibao/goatools | 647e9dd833695f688cd16c2f9ea18f1692e5c6bc | goatools/gosubdag/gosubdag_init.py | python | InitGOs._init_gos | (self, go_sources_arg, relationships_arg) | Initialize GO sources. | Initialize GO sources. | [
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"""Initialize GO sources."""
# No GO sources provided
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achael/eht-imaging | bbd3aeb06bef52bf89fa1c06de71e5509a5b0015 | ehtim/image.py | python | load_fits | (fname, aipscc=False, pulse=ehc.PULSE_DEFAULT,
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fname (str): path to input fits file
aipscc (bool): if True, then AIPS CC table will be loaded
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"""Read in an image from a FITS file.
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fname (str): path to input fits file
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cloudera/hue | 23f02102d4547c17c32bd5ea0eb24e9eadd657a4 | desktop/core/ext-py/eventlet-0.24.1/eventlet/timeout.py | python | Timeout.pending | (self) | True if the timeout is scheduled to be raised. | True if the timeout is scheduled to be raised. | [
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Map-A-Droid/MAD | 81375b5c9ccc5ca3161eb487aa81469d40ded221 | mapadroid/db/DbWrapper.py | python | DbWrapper.autofetch_column | (self, sql, args=None, **kwargs) | return self._db_exec.autofetch_column(sql, args=args, **kwargs) | get one field for 0, 1, or more rows in a query and return the result in a list | get one field for 0, 1, or more rows in a query and return the result in a list | [
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googleapis/python-dialogflow | e48ea001b7c8a4a5c1fe4b162bad49ea397458e9 | google/cloud/dialogflow_v2/services/documents/pagers.py | python | ListDocumentsPager.__iter__ | (self) | [] | def __iter__(self) -> Iterator[document.Document]:
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pymedusa/Medusa | 1405fbb6eb8ef4d20fcca24c32ddca52b11f0f38 | medusa/databases/utils.py | python | backup_database | (path, version) | Back up the database. | Back up the database. | [
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"""Back up the database."""
log.info('Backing up database before upgrade')
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log.error('Database backup failed, abort upgrading database')
sys.exit(1)
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sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/interfaces/maxima_abstract.py | python | MaximaAbstract.plot2d_parametric | (self, r, var, trange, nticks=50, options=None) | r"""
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zhengye1995/Tianchi-2019-Guangdong-Intelligent-identification-of-cloth-defects-rank5 | 40cc4d35df5ff3e5063dc7dd5cc0da829c909adb | inference/convert_datasets/guangdong_round2.py | python | Fabric2COCO._get_box | (self, points, img_h, img_w) | return [min_x, min_y, w, h] | coco,[x,y,w,h] | coco,[x,y,w,h] | [
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min_x = min(min_x, x)
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galaxyproject/galaxy | 4c03520f05062e0f4a1b3655dc0b7452fda69943 | lib/galaxy/jobs/runners/pbs.py | python | PBSJobRunner.get_stage_in_out | (self, fnames, symlink=False) | return stage | Convenience function to create a stagein/stageout list | Convenience function to create a stagein/stageout list | [
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stage = ''
for fname in fnames:
if os.access(fname, os.R_OK):
if stage:
stage += ','
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mozillazg/pypy | 2ff5cd960c075c991389f842c6d59e71cf0cb7d0 | rpython/flowspace/flowcontext.py | python | FlowContext.exception_match | (self, w_exc_type, w_check_class) | return False | Checks if the given exception type matches 'w_check_class'. | Checks if the given exception type matches 'w_check_class'. | [
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"""Checks if the given exception type matches 'w_check_class'."""
if not isinstance(w_check_class, Constant):
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SFDO-Tooling/CumulusCI | 825ae1f122b25dc41761c52a4ddfa1938d2a4b6e | cumulusci/utils/yaml/model_parser.py | python | CCIDictModel.get | (self, name, default=None) | return self.__dict__.get(name, default) | Emulate dict.get(). | Emulate dict.get(). | [
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postlund/pyatv | 4ed1f5539f37d86d80272663d1f2ea34a6c41ec4 | pyatv/support/rtsp.py | python | RtspSession.setup | (
self,
headers: Optional[Dict[str, Any]] = None,
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headers: Optional[Dict[str, Any]] = None,
body: Optional[Union[str, bytes]] = None,
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Chaffelson/nipyapi | d3b186fd701ce308c2812746d98af9120955e810 | nipyapi/nifi/models/jvm_diagnostics_snapshot_dto.py | python | JVMDiagnosticsSnapshotDTO.system_diagnostics_dto | (self, system_diagnostics_dto) | Sets the system_diagnostics_dto of this JVMDiagnosticsSnapshotDTO.
System-related diagnostics information
:param system_diagnostics_dto: The system_diagnostics_dto of this JVMDiagnosticsSnapshotDTO.
:type: JVMSystemDiagnosticsSnapshotDTO | Sets the system_diagnostics_dto of this JVMDiagnosticsSnapshotDTO.
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Sets the system_diagnostics_dto of this JVMDiagnosticsSnapshotDTO.
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quantumlib/Cirq | 89f88b01d69222d3f1ec14d649b7b3a85ed9211f | cirq-core/cirq/experiments/fidelity_estimation.py | python | least_squares_xeb_fidelity_from_probabilities | (
hilbert_space_dimension: int,
observed_probabilities: Sequence[Sequence[float]],
all_probabilities: Sequence[Sequence[float]],
observable_from_probability: Optional[Callable[[float], float]] = None,
normalize_probabilities: bool = True,
) | return least_squares_xeb_fidelity_from_expectations(
measured_expectations, exact_expectations, uniform_expectations
) | Least squares fidelity estimator with observable based on probabilities.
Using the notation from the docstring of
`least_squares_xeb_fidelity_from_expectations`, this function computes the
least squares fidelity estimate when the observable O_U has eigenvalue
corresponding to the computational basis st... | Least squares fidelity estimator with observable based on probabilities. | [
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hilbert_space_dimension: int,
observed_probabilities: Sequence[Sequence[float]],
all_probabilities: Sequence[Sequence[float]],
observable_from_probability: Optional[Callable[[float], float]] = None,
normalize_probabilities: bool = True,
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pantsbuild/pex | 473c6ac732ed4bc338b4b20a9ec930d1d722c9b4 | pex/vendor/_vendored/setuptools/setuptools/command/egg_info.py | python | warn_depends_obsolete | (cmd, basename, filename) | [] | def warn_depends_obsolete(cmd, basename, filename):
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kvfrans/variational-autoencoder | e6c94c6d4cee06b22c710923c3a8bbed84b88794 | input_data.py | python | DataSet.next_batch | (self, batch_size, fake_data=False) | return self._images[start:end], self._labels[start:end] | Return the next `batch_size` examples from this data set. | Return the next `batch_size` examples from this data set. | [
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"""Return the next `batch_size` examples from this data set."""
if fake_data:
fake_image = [1.0 for _ in xrange(784)]
fake_label = 0
return [fake_image for _ in xrange(batch_size)], [
fake_label for _ ... | [
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mkusner/grammarVAE | ffffe272a8cf1772578dfc92254c55c224cddc02 | Theano-master/theano/tensor/nnet/blocksparse.py | python | SparseBlockOuter.make_node | (self, o, x, y, xIdx, yIdx, alpha=None) | return Apply(self, [o, x, y, xIdx, yIdx, alpha],
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and matrices.
The parameter types are actually their expected shapes
relative to each other.
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o : xBlocks, yBlocks, xSize, ySize
x : batch, xWin, xSize
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vitorfs/parsifal | 9386a0fb328d4880d052c94e9224ce50a9b2f6a6 | parsifal/apps/invites/views.py | python | ManageAccessView.get_success_message | (self, cleaned_data) | return _("An invitation was sent to %s.") % self.object.get_invitee_email() | [] | def get_success_message(self, cleaned_data):
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python-pillow/Pillow | fd2b07c454b20e1e9af0cea64923b21250f8f8d6 | src/PIL/ImageSequence.py | python | all_frames | (im, func=None) | return [func(im) for im in ims] if func else ims | Applies a given function to all frames in an image or a list of images.
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jhpyle/docassemble | b90c84e57af59aa88b3404d44d0b125c70f832cc | docassemble_base/docassemble/base/util.py | python | DACloudStorage.client | (self) | return server.cloud.client | This property returns a boto3.client('s3') object. | This property returns a boto3.client('s3') object. | [
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studywolf/control | 4e94cb9c10543a5f5e798c0ec2605893bb21c321 | studywolf_control/controllers/ilqr.py | python | Control.gen_target | (self, arm) | return self.target.tolist() | Generate a random target | Generate a random target | [
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robinhood/faust | 01b4c0ad8390221db71751d80001b0fd879291e2 | faust/cli/worker.py | python | worker.platform | (self) | return '{py_imp} {py_version} ({system} {machine})'.format(
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odlgroup/odl | 0b088df8dc4621c68b9414c3deff9127f4c4f11d | odl/phantom/geometric.py | python | _getshapes_3d | (center, max_radius, shape) | return tuple(idx), tuple(shapes) | Calculate indices and slices for the bounding box of a ball. | Calculate indices and slices for the bounding box of a ball. | [
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happinesslz/TANet | 2d4b2ab99b8e57c03671b0f1531eab7dca8f3c1f | pointpillars_with_TANet/torchplus/train/optim.py | python | MixedPrecisionWrapper.__setstate__ | (self, state) | return self.optimizer.__setstate__(state) | [] | def __setstate__(self, state):
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JiaweiZhuang/xESMF | 2d2e365065711337286404e36fcb23c0def9eba8 | xesmf/frontend.py | python | as_2d_mesh | (lon, lat) | return lon, lat | [] | def as_2d_mesh(lon, lat):
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nosmokingbandit/watcher | dadacd21a5790ee609058a98a17fcc8954d24439 | lib/sqlalchemy/util/langhelpers.py | python | decorator | (target) | return update_wrapper(decorate, target) | A signature-matching decorator factory. | A signature-matching decorator factory. | [
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replit-archive/empythoned | 977ec10ced29a3541a4973dc2b59910805695752 | cpython/Lib/lib2to3/patcomp.py | python | PatternCompiler.__init__ | (self, grammar_file=_PATTERN_GRAMMAR_FILE) | Initializer.
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leo-editor/leo-editor | 383d6776d135ef17d73d935a2f0ecb3ac0e99494 | leo/core/leoFrame.py | python | LeoTree.scroll_cursor | (self, p) | Scroll the cursor. | Scroll the cursor. | [
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nansencenter/DAPPER | 406f5a526919286aa73b017add507f5b0cb98233 | dapper/tools/viz.py | python | default_fig_adjustments | (tables, xticks_from_data=False) | Beautify. These settings do not generalize well. | Beautify. These settings do not generalize well. | [
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axs = np.array([table.panels for table in tables.values()]).T
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biolab/orange3 | 41685e1c7b1d1babe680113685a2d44bcc9fec0b | Orange/widgets/visualize/utils/tree/treeadapter.py | python | BaseTreeAdapter.__init__ | (self, model) | [] | def __init__(self, model):
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BlackLight/platypush | a6b552504e2ac327c94f3a28b607061b6b60cf36 | platypush/plugins/music/mpd/__init__.py | python | MusicMpdPlugin.seek | (self, position) | return self._exec('seekcur', position) | Seek to the specified position
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openedx/edx-platform | 68dd185a0ab45862a2a61e0f803d7e03d2be71b5 | lms/djangoapps/courseware/courses.py | python | date_block_key_fn | (block) | return block.date or datetime.max.replace(tzinfo=pytz.UTC) | If the block's date is None, return the maximum datetime in order
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GalSim-developers/GalSim | a05d4ec3b8d8574f99d3b0606ad882cbba53f345 | devel/external/AEGIS/functions.py | python | select_good_stars | (catalog, nstars=25) | return best_stars | Return indices of nstars with the highest SNR in catalog. | Return indices of nstars with the highest SNR in catalog. | [
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visionml/pytracking | 3e6a8980db7a2275252abcc398ed0c2494f0ceab | ltr/models/loss/lovasz_loss.py | python | binary_xloss | (logits, labels, ignore=None) | return loss | Binary Cross entropy loss
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openshift/openshift-tools | 1188778e728a6e4781acf728123e5b356380fe6f | openshift/installer/vendored/openshift-ansible-3.9.40/roles/lib_openshift/library/oc_env.py | python | DeploymentConfig.exists_env_value | (self, key, value) | return False | return whether a key, value pair exists | return whether a key, value pair exists | [
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twisted/twisted | dee676b040dd38b847ea6fb112a712cb5e119490 | src/twisted/persisted/styles.py | python | Versioned.__getstate__ | (self, dict=None) | return dct | Get state, adding a version number to it on its way out. | Get state, adding a version number to it on its way out. | [
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fastnlp/fastNLP | fb645d370f4cc1b00c7dbb16c1ff4542327c46e5 | fastNLP/core/batch.py | python | TorchLoaderIter.__init__ | (self, dataset, collate_fn, batch_size=1, sampler=None,
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nortikin/sverchok | 7b460f01317c15f2681bfa3e337c5e7346f3711b | utils/sv_mesh_utils.py | python | non_coincident_edges | (edges) | return edges_out, preseved_mask | Removes edges with repeated indices
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zhaoolee/StarsAndClown | b2d4039cad2f9232b691e5976f787b49a0a2c113 | node_modules/npmi/node_modules/npm/node_modules/node-gyp/gyp/pylib/gyp/generator/msvs.py | python | _GenerateMSBuildRulePropsFile | (props_path, msbuild_rules) | Generate the .props file. | Generate the .props file. | [
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oracle/oci-python-sdk | 3c1604e4e212008fb6718e2f68cdb5ef71fd5793 | src/oci/email/email_client.py | python | EmailClient.list_senders | (self, compartment_id, **kwargs) | Gets a collection of approved sender email addresses and sender IDs.
:param str compartment_id: (required)
The OCID for the compartment.
:param str opc_request_id: (optional)
The request ID for tracing from the system
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saltstack/salt | fae5bc757ad0f1716483ce7ae180b451545c2058 | salt/cloud/clouds/linode.py | python | list_nodes_select | (call=None) | return _get_cloud_interface().list_nodes_select(call) | Return a list of the VMs that are on the provider, with select fields. | Return a list of the VMs that are on the provider, with select fields. | [
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dagwieers/mrepo | a55cbc737d8bade92070d38e4dbb9a24be4b477f | rhn/_internal_xmlrpclib.py | python | Unmarshaller.end_dateTime | (self, data) | [] | def end_dateTime(self, data):
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Netflix/vmaf | e768a2be57116c76bf33be7f8ee3566d8b774664 | python/vmaf/core/asset.py | python | Asset.use_path_as_workpath | (self) | If True, use ref_path as ref_workfile_path, and dis_path as
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securityclippy/elasticintel | aa08d3e9f5ab1c000128e95161139ce97ff0e334 | ingest_feed_lambda/numpy/lib/nanfunctions.py | python | nancumprod | (a, axis=None, dtype=None, out=None) | return np.cumprod(a, axis=axis, dtype=dtype, out=out) | Return the cumulative product of array elements over a given axis treating Not a
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FSecureLABS/Jandroid | e31d0dab58a2bfd6ed8e0a387172b8bd7c893436 | libs/platform-tools/platform-tools_darwin/systrace/catapult/devil/devil/android/sdk/gce_adb_wrapper.py | python | GceAdbWrapper._Connect | (self, timeout=adb_wrapper.DEFAULT_TIMEOUT,
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cmd = ['connect', self._device_serial]
output = self._RunAdbCmd(cmd, timeout=timeout, retries=retries)
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mlachmish/MusicGenreClassification | 78443a86eae25fb7f943baee05fe15ab245ff4ab | mfcc/code/lib/hdf5_getters.py | python | get_sections_start | (h5,songidx=0) | return h5.root.analysis.sections_start[h5.root.analysis.songs.cols.idx_sections_start[songidx]:
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file. By default, return the array for the first song in the h5 file.
To get a regular numpy ndarray, cast the result to: numpy.array( ) | Get sections start array. Takes care of the proper indexing if we are in aggregate
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openstack/manila | 142990edc027e14839d5deaf4954dd6fc88de15e | manila/share/drivers/netapp/dataontap/client/client_cmode.py | python | NetAppCmodeClient.get_node_data_ports | (self, node) | return self._sort_data_ports_by_speed(ports) | Get applicable data ports on the node. | Get applicable data ports on the node. | [
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4shadoww/hakkuframework | 409a11fc3819d251f86faa3473439f8c19066a21 | lib/scapy/layers/tls/keyexchange.py | python | ServerECDHExplicitPrimeParams.fill_missing | (self) | Note that if it is not set by the user, the cofactor will always
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django-nonrel/django-nonrel | 4fbfe7344481a5eab8698f79207f09124310131b | django/contrib/comments/moderation.py | python | CommentModerator._get_delta | (self, now, then) | return now - then | Internal helper which will return a ``datetime.timedelta``
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PaddlePaddle/PGL | e48545f2814523c777b8a9a9188bf5a7f00d6e52 | apps/Graph4KG/models/ke_model.py | python | KGEModel.start_async_update | (self) | Initialize processes for asynchroneous update. | Initialize processes for asynchroneous update. | [
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omz/PythonistaAppTemplate | f560f93f8876d82a21d108977f90583df08d55af | PythonistaAppTemplate/PythonistaKit.framework/pylib_ext/sympy/utilities/decorator.py | python | public | (obj) | return obj | Append ``obj``'s name to global ``__all__`` variable (call site).
By using this decorator on functions or classes you achieve the same goal
as by filling ``__all__`` variables manually, you just don't have to repeat
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oasis-open/cti-python-stix2 | 17445a085cb84734900603eb8009bcc856892762 | stix2/datastore/filesystem.py | python | FileSystemSource.all_versions | (self, stix_id, version=None, _composite_filters=None) | return self.query(query, version=version, _composite_filters=_composite_filters) | Retrieve STIX object from file directory via STIX ID, all versions.
Note: Since FileSystem sources/sinks don't handle multiple versions
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wakatime/legacy-python-cli | 9b64548b16ab5ef16603d9a6c2620a16d0df8d46 | wakatime/packages/py27/pygments/styles/__init__.py | python | get_all_styles | () | Return an generator for all styles by name,
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aiidateam/aiida-core | c743a335480f8bb3a5e4ebd2463a31f9f3b9f9b2 | aiida/common/progress_reporter.py | python | ProgressReporterAbstract.total | (self) | return self._total | Return the total iterations expected. | Return the total iterations expected. | [
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pypa/pipenv | b21baade71a86ab3ee1429f71fbc14d4f95fb75d | pipenv/patched/notpip/_internal/utils/models.py | python | KeyBasedCompareMixin.__hash__ | (self) | return hash(self._compare_key) | [] | def __hash__(self):
# type: () -> int
return hash(self._compare_key) | [
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007gzs/dingtalk-sdk | 7979da2e259fdbc571728cae2425a04dbc65850a | dingtalk/client/api/taobao.py | python | TbJiuDianShangPin.taobao_xhotel_rate_get | (
self,
gid='',
rpid='',
out_rid='',
rateplan_code='',
vendor='',
rate_id=''
) | return self._top_request(
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{
"gid": gid,
"rpid": rpid,
"out_rid": out_rid,
"rateplan_code": rateplan_code,
"vendor": vendor,
"rate_id": rate_id
},
resu... | 酒店产品库rate查询
文档地址:https://open-doc.dingtalk.com/docs/api.htm?apiId=22674
:param gid: gid酒店商品id
:param rpid: 酒店RPID
:param out_rid: 卖家房型ID, 这是卖家自己系统中的房型ID 注意:需要按照规则组合
:param rateplan_code: 卖家自己系统的Code,简称RateCode
:param vendor: 用于标示该宝贝的售卖渠道信息,允许同一个卖家酒店房型在淘宝系统发布多个售卖渠道的宝贝的价格。... | 酒店产品库rate查询
文档地址:https://open-doc.dingtalk.com/docs/api.htm?apiId=22674 | [
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rpid='',
out_rid='',
rateplan_code='',
vendor='',
rate_id=''
):
"""
酒店产品库rate查询
文档地址:https://open-doc.dingtalk.com/docs/api.htm?apiId=22674
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eirannejad/pyRevit | 49c0b7eb54eb343458ce1365425e6552d0c47d44 | pyrevitlib/rpw/ui/selection.py | python | Selection.__bool__ | (self) | return super(Selection, obj).__bool__() | Returns:
bool: `False` if selection is empty, `True` otherwise
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>>> Selection() is True
True | Returns:
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Returns:
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>>> Selection() is True
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"""
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aws/sagemaker-python-sdk | 9d259b316f7f43838c16f35c10e98a110b56735b | src/sagemaker/clarify.py | python | BiasConfig.__init__ | (
self,
label_values_or_threshold,
facet_name,
facet_values_or_threshold=None,
group_name=None,
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Args:
label_values_or_threshold (Any): List of label values or threshold to indicate positive
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facet_name (str or [str]): String or List of strings of sensitive attribute(s)... | Initializes a configuration of the sensitive groups in the dataset. | [
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"""Initializes a configuration of the sensitive groups in the dataset.
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sympy/sympy | d822fcba181155b85ff2b29fe525adbafb22b448 | sympy/physics/hep/gamma_matrices.py | python | extract_type_tens | (expression, component) | return new_expr, residual_expr | Extract from a ``TensExpr`` all tensors with `component`.
Returns two tensor expressions:
* the first contains all ``Tensor`` of having `component`.
* the second contains all remaining. | Extract from a ``TensExpr`` all tensors with `component`. | [
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Extract from a ``TensExpr`` all tensors with `component`.
Returns two tensor expressions:
* the first contains all ``Tensor`` of having `component`.
* the second contains all remaining.
"""
if isinstance(expression, Tensor):
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GoogleCloudPlatform/ml-on-gcp | ffd88931674e08ef6b0b20de27700ed1da61772c | example_zoo/tensorflow/probability/latent_dirichlet_allocation_distributions/trainer/latent_dirichlet_allocation_distributions.py | python | build_fake_input_fns | (batch_size) | return train_input_fn, eval_input_fn, vocabulary | Build fake data for unit testing. | Build fake data for unit testing. | [
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] | def build_fake_input_fns(batch_size):
"""Build fake data for unit testing."""
num_words = 1000
vocabulary = [str(i) for i in range(num_words)]
random_sample = np.random.randint(
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def train_input_fn():
dataset = tf.data.Dataset.from_tensor_slices(... | [
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gaasedelen/lighthouse | 7245a2d2c4e84351cd259ed81dafa4263167909a | plugins/lighthouse/metadata.py | python | DatabaseMetadata.metadata_modified | (self, callback) | Subscribe a callback for metadata modification events. | Subscribe a callback for metadata modification events. | [
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Subscribe a callback for metadata modification events.
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pyload/pyload | 4410827ca7711f1a3cf91a0b11e967b81bbbcaa2 | src/pyload/core/utils/check.py | python | haspropriety | (obj, name) | return attr and not callable(attr) | Check if propriety `name` was defined in obj. | Check if propriety `name` was defined in obj. | [
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man-group/PythonTrainingExercises | 00a2435649fcf53fdafede2d10b40f08463728fe | Beginners/stdlib/theCEOspeech/solution.py | python | write_speech | (n) | Write a speech with the opening words followed by n random phrases
interspersed with random inserts. | Write a speech with the opening words followed by n random phrases
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changye/AutoTrade | c3e77e22217b9fe39f2d20cf6d2aa7dabea1b339 | Tools/Ocr.py | python | RClient.rk_create | (self, im, im_type, timeout=60) | return r.json() | im: 图片字节
im_type: 题目类型 | im: 图片字节
im_type: 题目类型 | [
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] | def rk_create(self, im, im_type, timeout=60):
"""
im: 图片字节
im_type: 题目类型
"""
params = {
'typeid': im_type,
'timeout': timeout,
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params.update(self.base_params)
files = {'image': ('a.jpg', im)}
r = requests.post('http://api.... | [
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