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graphcore/examples | 46d2b7687b829778369fc6328170a7b14761e5c6 | applications/tensorflow/detection/yolov3/core/utils.py | python | postprocess_boxes | (pred_bbox, org_img_shape, input_size, score_threshold) | return np.concatenate([coors, scores[:, np.newaxis], classes[:, np.newaxis]], axis=-1) | Turn predicted boxes to image relative coordinate and remove invalid parts
Args:
pred_bbox: tensor of predicted boxes
org_image_shape: original image shape (h,w)
input_size: network input size, one integer, network input is a square image
score_threshold: box score threshold, boxes b... | Turn predicted boxes to image relative coordinate and remove invalid parts
Args:
pred_bbox: tensor of predicted boxes
org_image_shape: original image shape (h,w)
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XX-net/XX-Net | a9898cfcf0084195fb7e69b6bc834e59aecdf14f | code/default/lib/noarch/hyper/packages/rfc3986/uri.py | python | URIReference.scheme_is_valid | (self, require=False) | return self._is_valid(self.scheme, SCHEME_MATCHER, require) | Determines if the scheme component is valid.
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nadineproject/nadine | c41c8ef7ffe18f1853029c97eecc329039b4af6c | doors/core.py | python | TestDoorController.test_connection | (self) | return True | [] | def test_connection(self):
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21dotco/two1-python | 4e833300fd5a58363e3104ed4c097631e5d296d3 | two1/bitcoin/coinbase.py | python | CoinbaseTransactionBuilder.build | (self, enonce1, enonce2, bitshare=True) | return tx_type(Transaction.DEFAULT_TRANSACTION_VERSION,
[cb_input],
self.outputs,
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512-bit boundary.
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open-cogsci/OpenSesame | c4a3641b097a80a76937edbd8c365f036bcc9705 | opensesame_extensions/help/help.py | python | help.populate_help_menu | (self) | desc:
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adonno/Home-AssistantConfig | 8038c0143c6a990e409951202bb1bda149fcbaf7 | custom_components/hacs/hacsbase/__init__.py | python | Hacs.register_repository | (self, full_name, category, check=True) | Register a repository. | Register a repository. | [
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PhoenixDL/rising | 6de193375dcaac35605163c35cec259c9a2116d1 | rising/utils/affine.py | python | matrix_to_homogeneous | (batch: torch.Tensor) | return torch.cat([batch, missing], dim=-2) | Transforms a given transformation matrix to a homogeneous
transformation matrix.
Args:
batch: the batch of matrices to convert [N, dim, dim]
Returns:
torch.Tensor: the converted batch of matrices | Transforms a given transformation matrix to a homogeneous
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"""
Transforms a given transformation matrix to a homogeneous
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Args:
batch: the batch of matrices to convert [N, dim, dim]
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gramps-project/gramps | 04d4651a43eb210192f40a9f8c2bad8ee8fa3753 | gramps/plugins/db/dbapi/dbapi.py | python | DBAPI._txn_commit | (self) | Lowlevel interface to the backend transaction.
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sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/geometry/hyperplane_arrangement/hyperplane.py | python | Hyperplane.dimension | (self) | return self.linear_part().dimension() | r"""
The dimension of the hyperplane.
OUTPUT:
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The dimension of the hyperplane. | [
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The dimension of the hyperplane.
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edfungus/Crouton | ada98b3930192938a48909072b45cb84b945f875 | clients/esp8266_clients/venv/lib/python2.7/site-packages/setuptools/dist.py | python | Distribution.handle_display_options | (self, option_order) | If there were any non-global "display-only" options
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apache/libcloud | 90971e17bfd7b6bb97b2489986472c531cc8e140 | libcloud/compute/drivers/kamatera.py | python | KamateraNodeDriver.ex_get_node | (
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private_ips=None,
size=None,
image=None,
created_at=None,
location=None,
dailybackup=None,
managed=None,
billingcycle=None,
generated_pass... | return Node(
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name=name,
state=state,
public_ips=public_ips,
private_ips=private_ips,
driver=self,
size=size,
image=image,
created_at=created_at,
extra=extra,
) | Get a Kamatera node object.
:param id: Node ID (optional)
:type id: ``str``
:param name: Node name (optional)
:type name: ``str``
:param state: Node state (optional)
:type state: :class:`libcloud.compute.types.NodeState`
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private_ips=None,
size=None,
image=None,
created_at=None,
location=None,
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voxelmorph/voxelmorph | 92641b4808aefd3762bb2680d2b2aa8a491298ac | voxelmorph/py/utils.py | python | vol_to_sdt | (X_label, sdt=True, sdt_vol_resize=1) | return X_dt | Computes the signed distance transform from a volume. | Computes the signed distance transform from a volume. | [
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"""
Computes the signed distance transform from a volume.
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X_dt = signed_dist_trf(X_label)
if not (sdt_vol_resize == 1):
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SanPen/GridCal | d3f4566d2d72c11c7e910c9d162538ef0e60df31 | src/GridCal/Gui/GridEditorWidget/transformer2w_graphics.py | python | TransformerGraphicItem.setEndPos | (self, endpos) | Set the starting position
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JulianEberius/SublimePythonIDE | d70e40abc0c9f347af3204c7b910e0d6bfd6e459 | server/lib/python2/rope/contrib/generate.py | python | create_generate | (kind, project, resource, offset) | return generate(project, resource, offset) | A factory for creating `Generate` objects
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generate = eval('Generate' + kind.title())
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mesonbuild/meson | a22d0f9a0a787df70ce79b05d0c45de90a970048 | mesonbuild/build.py | python | Executable.get_import_filename | (self) | return self.import_filename | The name of the import library that will be outputted by the compiler
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grow/grow | 97fc21730b6a674d5d33948d94968e79447ce433 | grow/documents/document_fields.py | python | DocumentFields.__getitem__ | (self, key) | return self._data[key] | [] | def __getitem__(self, key):
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googleads/google-ads-python | 2a1d6062221f6aad1992a6bcca0e7e4a93d2db86 | google/ads/googleads/v9/services/services/topic_constant_service/client.py | python | TopicConstantServiceClient.topic_constant_path | (topic_id: str,) | return "topicConstants/{topic_id}".format(topic_id=topic_id,) | Return a fully-qualified topic_constant string. | Return a fully-qualified topic_constant string. | [
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frenetic-lang/pyretic | 30462692f3e9675158862755955b44f3a37ea21c | pyretic/core/netkat.py | python | netkat_backend.generate_classifier | (cls, pol, switch_cnt, multistage, print_json=False,
return_json=False, server_port=NETKAT_PORT) | Generate JSON or classifier output from compiling an input policy. | Generate JSON or classifier output from compiling an input policy. | [
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return_json=False, server_port=NETKAT_PORT):
""" Generate JSON or classifier output from compiling an input policy. """
def use_explicit_switches(pol):
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Raytone-D/puppet | 6212d4306d520c60f5f168aec3b79ee56071ee6b | puppet/util.py | python | go_to_top | (h_root: int, timeout: float = 1.0, interval: float = 0.01) | 窗口置顶 | 窗口置顶 | [
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"""窗口置顶"""
keyboard.send('alt') # ! enables calls to SwitchToThisWindow
if user32.SwitchToThisWindow(h_root, True) != 0:
stop = int(timeout/interval)
for _ in range(stop):
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mysql/mysql-connector-python | c5460bcbb0dff8e4e48bf4af7a971c89bf486d85 | lib/mysqlx/statement.py | python | Statement.exec_counter | (self) | return self._exec_counter | int: The number of times this statement was executed. | int: The number of times this statement was executed. | [
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boto/boto | b2a6f08122b2f1b89888d2848e730893595cd001 | boto/sts/__init__.py | python | regions | () | return get_regions('sts', connection_cls=STSConnection) | Get all available regions for the STS service.
:rtype: list
:return: A list of :class:`boto.regioninfo.RegionInfo` instances | Get all available regions for the STS service. | [
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"""
Get all available regions for the STS service.
:rtype: list
:return: A list of :class:`boto.regioninfo.RegionInfo` instances
"""
return get_regions('sts', connection_cls=STSConnection) | [
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heynemann/pyvows | 5b0e2a202603c1fc00d1fa0c6134c92c15b7e2b7 | pyvows/reporting/coverage.py | python | VowsCoverageReporter.format_class_coverage | (self, cover_character, klass, space1, progress, coverage, space2, lines, cover_threshold) | return ' {0} {klass}{space1}\t{progress}{coverage}{space2} {lines}'.format(
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'''Accepts coverage data for a class and returns a formatted string (intended for
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frappe/frappe | b64cab6867dfd860f10ccaf41a4ec04bc890b583 | frappe/client.py | python | insert_many | (docs=None) | return out | Insert multiple documents
:param docs: JSON or list of dict objects to be inserted in one request | Insert multiple documents | [
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out = []
if len(docs) > 200:
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for doc in docs:
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PaddlePaddle/PGL | e48545f2814523c777b8a9a9188bf5a7f00d6e52 | apps/Graph4KG/dataset/trigraph.py | python | TriGraph.ents | (self) | return np.arange(0, self._num_ents) | All entity ids from 0 to :code:`num_ents - 1` (np.ndarray). | All entity ids from 0 to :code:`num_ents - 1` (np.ndarray). | [
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uqfoundation/mystic | 154e6302d1f2f94e8f13e88ecc5f24241cc28ac7 | mystic/math/discrete.py | python | product_measure.flatten | (self) | return params | convert a product measure to a single list of parameters
Args:
None
Returns:
a list of parameters
Notes:
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Args:
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Returns:
a list of parameters
Notes:
Given ``product_measure.pts = (M, N, ...)``, then the returned list is
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DSE-MSU/DeepRobust | 2bcde200a5969dae32cddece66206a52c87c43e8 | deeprobust/graph/utils.py | python | tensor2onehot | (labels) | return onehot_mx.to(labels.device) | Convert label tensor to label onehot tensor.
Parameters
----------
labels : torch.LongTensor
node labels
Returns
-------
torch.LongTensor
onehot labels tensor | Convert label tensor to label onehot tensor. | [
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] | def tensor2onehot(labels):
"""Convert label tensor to label onehot tensor.
Parameters
----------
labels : torch.LongTensor
node labels
Returns
-------
torch.LongTensor
onehot labels tensor
"""
eye = torch.eye(labels.max() + 1)
onehot_mx = eye[labels]
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Dozed12/df-style-worldgen | 937455d54f4b02df9c4b10ae6418f4c932fd97bf | libtcodpy.py | python | console_put_char | (con, x, y, c, flag=BKGND_DEFAULT) | [] | def console_put_char(con, x, y, c, flag=BKGND_DEFAULT):
if type(c) == str or type(c) == bytes:
_lib.TCOD_console_put_char(con, x, y, ord(c), flag)
else:
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sethmlarson/virtualbox-python | 984a6e2cb0e8996f4df40f4444c1528849f1c70d | virtualbox/library.py | python | ISystemProperties.max_guest_vram | (self) | return ret | Get int value for 'maxGuestVRAM'
Maximum guest video memory in Megabytes. | Get int value for 'maxGuestVRAM'
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"""Get int value for 'maxGuestVRAM'
Maximum guest video memory in Megabytes.
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ret = self._get_attr("maxGuestVRAM")
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akamai-threat-research/mqtt-pwn | 40368e531660339fca1562a6c609c35f7ae4f989 | mqtt_pwn/connection/brute_forcer.py | python | ConnectionResult.set_return_code | (self, return_code) | Sets the return code field | Sets the return code field | [
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hatRiot/zarp | 2e772350a01c2aeed3f4da9685cd0cc5d6b3ecad | src/lib/scapy/layers/sctp.py | python | _SCTPChunkGuessPayload.default_payload_class | (self,p) | [] | def default_payload_class(self,p):
if len(p) < 4:
return conf.padding_layer
else:
t = ord(p[0])
return globals().get(sctpchunktypescls.get(t, "Raw"), conf.raw_layer) | [
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LinkedInAttic/naarad | 261e2c0760fd6a6b0ee59064180bd8e3674311fe | src/naarad/metrics/metric.py | python | Metric.calc_key_stats | (self, metric_store) | Calculate stats such as percentile and mean
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Calculate stats such as percentile and mean
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"""
stats_to_calculate = ['mean', 'std', 'min', 'max'] # TODO: get input from user
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enthought/mayavi | 2103a273568b8f0bd62328801aafbd6252543ae8 | mayavi/sources/array_source.py | python | ArraySource.remove_attribute | (self, name, category='point') | Remove an attribute by its name and optional category (point and
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home-assistant/core | 265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1 | homeassistant/components/alexa/capabilities.py | python | AlexaPowerController.properties_proactively_reported | (self) | return True | Return True if properties asynchronously reported. | Return True if properties asynchronously reported. | [
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GoogleCloudPlatform/professional-services | 0c707aa97437f3d154035ef8548109b7882f71da | examples/vertex_pipeline/components/component_base/src/preprocess.py | python | executor_main | () | Main executor. | Main executor. | [
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"""Main executor."""
parser = argparse.ArgumentParser()
parser.add_argument('--executor_input', type=str)
parser.add_argument('--function_to_execute', type=str)
args, _ = parser.parse_known_args()
executor_input = json.loads(args.executor_input)
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kuri65536/python-for-android | 26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891 | python-modules/twisted/twisted/internet/selectreactor.py | python | SelectReactor.addReader | (self, reader) | Add a FileDescriptor for notification of data available to read. | Add a FileDescriptor for notification of data available to read. | [
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fuzzbunch/fuzzbunch | 4b60a6c7cf9f84cf389d3fcdb9281de84ffb5802 | fuzzbunch/plugin.py | python | Plugin.execute | (self, session, mode) | Execute the plugin | Execute the plugin | [
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SebKuzminsky/pycam | 55e3129f518e470040e79bb00515b4bfcf36c172 | pycam/Plugins/ParallelProcessing.py | python | ParallelProcessing.setup | (self) | return True | [] | def setup(self):
if self.gui and self._gtk:
box = self.gui.get_object("MultiprocessingFrame")
box.unparent()
self.core.register_ui("preferences", "Parallel processing", box, 60)
# "process pool" window
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pyg-team/pytorch_geometric | b920e9a3a64e22c8356be55301c88444ff051cae | benchmark/citation/gat.py | python | Net.forward | (self, data) | return F.log_softmax(x, dim=1) | [] | def forward(self, data):
x, edge_index = data.x, data.edge_index
x = F.dropout(x, p=args.dropout, training=self.training)
x = F.elu(self.conv1(x, edge_index))
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tjweir/liftbook | e977a7face13ade1a4558e1909a6951d2f8928dd | elyxer.py | python | FormulaFactory.clearany | (self, pos) | return None | Cleary any ignored type. | Cleary any ignored type. | [
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Source-Python-Dev-Team/Source.Python | d0ffd8ccbd1e9923c9bc44936f20613c1c76b7fb | addons/source-python/Python3/configparser.py | python | RawConfigParser._unify_values | (self, section, vars) | return _ChainMap(vardict, sectiondict, self._defaults) | Create a sequence of lookups with 'vars' taking priority over
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openstack/tempest | fe0ac89a5a1c43fa908a76759cd99eea3b1f9853 | tempest/lib/common/rest_client.py | python | RestClient.put | (self, url, body, headers=None, extra_headers=False, chunked=False) | return self.request('PUT', url, extra_headers, headers, body, chunked) | Send a HTTP PUT request using keystone service catalog and auth
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InvestmentSystems/static-frame | 0b19d6969bf6c17fb0599871aca79eb3b52cf2ed | static_frame/core/bus.py | python | Bus.to_series | (self) | return Series(self.values,
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pret/pokemon-reverse-engineering-tools | 5e0715f2579adcfeb683448c9a7826cfd3afa57d | pokemontools/map_editor.py | python | MapRenderer.__init__ | (self, config=config, **kwargs) | [] | def __init__(self, config=config, **kwargs):
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rucio/rucio | 6d0d358e04f5431f0b9a98ae40f31af0ddff4833 | lib/rucio/db/sqla/migrate_repo/versions/2af3291ec4c_added_replicas_history_table.py | python | upgrade | () | Upgrade the database to this revision | Upgrade the database to this revision | [
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LGE-ARC-AdvancedAI/auptimizer | 50f6e3b4e0cb9146ca90fd74b9b24ca97ae22617 | src/aup/Proposer/hyperopt/mongoexp.py | python | MongoJobs.set_attachment | (self, doc, blob, name, collection=None) | Attach potentially large data string `blob` to `doc` by name `name`
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doc must have been saved in some collection (must have an _id), but not
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exercism/python | f79d44ef6c9cf68d8c76cb94017a590f04391635 | exercises/practice/run-length-encoding/.meta/example.py | python | encode | (string) | return ''.join(single_helper(key, group) for key, group in groupby(string)) | [] | def encode(string):
def single_helper(key, group):
size = len(list(group))
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replit-archive/empythoned | 977ec10ced29a3541a4973dc2b59910805695752 | cpython/Lib/plat-mac/lib-scriptpackages/StdSuites/AppleScript_Suite.py | python | AppleScript_Suite_Events.ends_with | (self, _object, _attributes={}, **_arguments) | ends with: Ends with
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danecjensen/subscribely | 4d6ac60358b5fe26f0c01be68f1ba063df3b1ea0 | src/flask/app.py | python | Flask.try_trigger_before_first_request_functions | (self) | Called before each request and will ensure that it triggers
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cooelf/SemBERT | f849452f864b5dd47f94e2911cffc15e9f6a5a2a | run_classifier.py | python | QnliProcessor.get_train_examples | (self, data_dir) | return self._create_examples(
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Cadene/tensorflow-model-zoo.torch | 990b10ffc22d4c8eacb2a502f20415b4f70c74c2 | models/research/cognitive_mapping_and_planning/tfcode/tf_utils.py | python | add_value_to_summary | (metric_summary, tag, val, log=True, tag_str=None) | Adds a scalar summary to the summary object. Optionally also logs to
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pypa/flit | a4524758604107bde8c77b5816612edb76a604aa | flit_core/flit_core/vendor/tomli/_re.py | python | match_to_datetime | (match: "re.Match") | return datetime(year, month, day, hour, minute, sec, micros, tzinfo=tz) | Convert a `RE_DATETIME` match to `datetime.datetime` or `datetime.date`.
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fake-name/ChromeController | 6c70d855e33e06463516b263bf9e6f34c48e29e8 | ChromeController/Generator/Generated.py | python | ChromeRemoteDebugInterface.Database_disable | (self) | return subdom_funcs | Function path: Database.disable
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aliyun/aliyun-odps-python-sdk | 20b391c8d6eb1a689eedf950c2fc702be5f057c9 | odps/lib/six.py | python | _SixMetaPathImporter.get_code | (self, fullname) | return None | Return None
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alshedivat/keras-gp | 742019c428948673920284215058a0c284491b80 | kgp/backend/gpml.py | python | GPML.get_dlik_dx | (self, which_set, verbose=0) | return dlik_dx | Get derivative of the log marginal likelihood w.r.t. the kernel. | Get derivative of the log marginal likelihood w.r.t. the kernel. | [
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"""Get derivative of the log marginal likelihood w.r.t. the kernel.
"""
assert which_set in {'tr', 'tst', 'val', 'tmp'}
X_name, y_name = 'X_' + which_set, 'y_' + which_set
self.config.update({'X': X_name, 'y': y_name})
self.eng... | [
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openelections/openelections-core | 3c516d8c4cf1166b1868b738a248d48f3378c525 | openelex/us/wa/transform/__init__.py | python | CreateResultsTransform._parse_winner | (self, raw_result) | Converts raw winner value into boolean | Converts raw winner value into boolean | [
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"""
Converts raw winner value into boolean
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if raw_result.winner == 'Y':
# Winner in post-2002 contest
return True
elif raw_result.winner == 1:
# Winner in 2002 contest
return True
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williballenthin/INDXParse | 454d70645b2d01f75ac4346bc2410fbe047d090c | INDXParse.py | python | NTATTR_STANDARD_INDEX_HEADER.deleted_entries | (self) | A generator that yields INDX entries found in the slack space
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bowenbaker/metaqnn | a25847f635e9545455f83405453e740646038f7a | libs/input_modules/get_datasets.py | python | get_mnist | (save_dir=None, root_path=None) | return Xtr, Ytr, Xte, Yte | If root_path is None, we download the data set from internet.
Either save path or root path must not be None and not both.
Returns Xtr, Ytr, Xte, Yte as numpy arrays | If root_path is None, we download the data set from internet. | [
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] | def get_mnist(save_dir=None, root_path=None):
''' If root_path is None, we download the data set from internet.
Either save path or root path must not be None and not both.
Returns Xtr, Ytr, Xte, Yte as numpy arrays
'''
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cisco-sas/kitty | cb0760989dcdfe079e43ac574d872d0b18953a32 | kitty/model/low_level/aliases.py | python | BitMaskNotSet | (field, comp_value) | return Compare(field, '&=0', comp_value) | Condition applies if the given bitmask is equal to 0 in the value of the field
:rtype: :class:`~kitty.model.low_level.condition.Compare` | Condition applies if the given bitmask is equal to 0 in the value of the field | [
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'''
Condition applies if the given bitmask is equal to 0 in the value of the field
:rtype: :class:`~kitty.model.low_level.condition.Compare`
'''
return Compare(field, '&=0', comp_value) | [
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ambakick/Person-Detection-and-Tracking | f925394ac29b5cf321f1ce89a71b193381519a0b | utils/np_box_mask_list_ops.py | python | iou | (box_mask_list1, box_mask_list2) | return np_mask_ops.iou(box_mask_list1.get_masks(),
box_mask_list2.get_masks()) | Computes pairwise intersection-over-union between box and mask collections.
Args:
box_mask_list1: BoxMaskList holding N boxes and masks
box_mask_list2: BoxMaskList holding M boxes and masks
Returns:
a numpy array with shape [N, M] representing pairwise iou scores. | Computes pairwise intersection-over-union between box and mask collections. | [
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] | def iou(box_mask_list1, box_mask_list2):
"""Computes pairwise intersection-over-union between box and mask collections.
Args:
box_mask_list1: BoxMaskList holding N boxes and masks
box_mask_list2: BoxMaskList holding M boxes and masks
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horazont/aioxmpp | c701e6399c90a6bb9bec0349018a03bd7b644cde | aioxmpp/security_layer.py | python | make | (
password_provider,
*,
pin_store=None,
pin_type=PinType.PUBLIC_KEY,
post_handshake_deferred_failure=None,
anonymous=False,
ssl_context_factory=default_ssl_context,
no_verify=False) | return SecurityLayer(
ssl_context_factory,
certificate_verifier_factory,
True,
tuple(sasl_providers),
) | Construct a :class:`SecurityLayer`. Depending on the arguments passed,
different features are enabled or disabled.
.. warning::
When using any argument except `password_provider`, be sure to read
its documentation below the following overview **carefully**. Many
arguments can be used t... | Construct a :class:`SecurityLayer`. Depending on the arguments passed,
different features are enabled or disabled. | [
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password_provider,
*,
pin_store=None,
pin_type=PinType.PUBLIC_KEY,
post_handshake_deferred_failure=None,
anonymous=False,
ssl_context_factory=default_ssl_context,
no_verify=False):
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MozillaSecurity/grizzly | 1c41478e32f323189a2c322ec041c3e0902a158a | grizzly/replay/crash.py | python | modify_args | (args, crash, bucket) | return args | Arguments:
args (argparse.Namespace): Result from `ReplayArgs.parse_args`.
Returns:
args (argparse.Namespace): Modified arguments. | [] | def modify_args(args, crash, bucket):
"""
Arguments:
args (argparse.Namespace): Result from `ReplayArgs.parse_args`.
Returns:
args (argparse.Namespace): Modified arguments.
"""
args.original_crash_id = args.input
args.input = str(crash.testcase_path())
if args.tool is Non... | [
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mandarjoshi90/coref | bd04f2e19b9dcc0b8bba848a335e4af3be50741c | bert/modeling.py | python | reshape_to_matrix | (input_tensor) | return output_tensor | Reshapes a >= rank 2 tensor to a rank 2 tensor (i.e., a matrix). | Reshapes a >= rank 2 tensor to a rank 2 tensor (i.e., a matrix). | [
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"""Reshapes a >= rank 2 tensor to a rank 2 tensor (i.e., a matrix)."""
ndims = input_tensor.shape.ndims
if ndims < 2:
raise ValueError("Input tensor must have at least rank 2. Shape = %s" %
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if ndims == 2:
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replit-archive/empythoned | 977ec10ced29a3541a4973dc2b59910805695752 | dist/lib/python2.7/imaplib.py | python | Time2Internaldate | (date_time) | return '"' + dt + " %+03d%02d" % divmod(zone//60, 60) + '"' | Convert date_time to IMAP4 INTERNALDATE representation.
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date_time argument can be a number (int or float) representing
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"""Convert date_time to IMAP4 INTERNALDATE representation.
Return string in form: '"DD-Mmm-YYYY HH:MM:SS +HHMM"'. The
date_time argument can be a number (int or float) representing
seconds since epoch (as returned by time.time()), a 9-tuple
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tdamdouni/Pythonista | 3e082d53b6b9b501a3c8cf3251a8ad4c8be9c2ad | stash/autopep8.py | python | standard_deviation | (numbers) | return (sum((n - mean) ** 2 for n in numbers) /
len(numbers)) ** .5 | Return standard devation. | Return standard devation. | [
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] | def standard_deviation(numbers):
"""Return standard devation."""
numbers = list(numbers)
if not numbers:
return 0
mean = sum(numbers) / len(numbers)
return (sum((n - mean) ** 2 for n in numbers) /
len(numbers)) ** .5 | [
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google/grr | 8ad8a4d2c5a93c92729206b7771af19d92d4f915 | grr/server/grr_response_server/gui/api_call_router_with_approval_checks.py | python | ApiCallRouterWithApprovalChecks.GetFleetspeakPendingMessageCount | (
self,
args: api_client.ApiGetFleetspeakPendingMessageCountArgs,
context: Optional[api_call_context.ApiCallContext] = None
) | return self.delegate.GetFleetspeakPendingMessageCount(args, context=context) | [] | def GetFleetspeakPendingMessageCount(
self,
args: api_client.ApiGetFleetspeakPendingMessageCountArgs,
context: Optional[api_call_context.ApiCallContext] = None
) -> api_client.ApiGetFleetspeakPendingMessageCountHandler:
self.access_checker.CheckClientAccess(context, args.client_id)
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awslabs/deeplearning-benchmark | 3e9a906422b402869537f91056ae771b66487a8e | word_language_model/lstm_bucketing.py | python | tokenize_text | (fname, vocab=None, invalid_label=-1, start_label=0) | return sentences, vocab | [] | def tokenize_text(fname, vocab=None, invalid_label=-1, start_label=0):
try:
assert os.path.exists(fname)
except AssertionError:
subprocess.call(['{}/get_ptb_data.sh'.format(os.path.dirname(__file__))])
assert os.path.exists(fname)
lines = open(fname).readlines()
lines = [filter(N... | [
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scipy/scipy | e0a749f01e79046642ccfdc419edbf9e7ca141ad | scipy/_lib/_uarray/_backend.py | python | generate_multimethod | (
argument_extractor: ArgumentExtractorType,
argument_replacer: ArgumentReplacerType,
domain: str,
default: typing.Optional[typing.Callable] = None,
) | return functools.update_wrapper(ua_func, argument_extractor) | Generates a multimethod.
Parameters
----------
argument_extractor : ArgumentExtractorType
A callable which extracts the dispatchable arguments. Extracted arguments
should be marked by the :obj:`Dispatchable` class. It has the same signature
as the desired multimethod.
argument_r... | Generates a multimethod. | [
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] | def generate_multimethod(
argument_extractor: ArgumentExtractorType,
argument_replacer: ArgumentReplacerType,
domain: str,
default: typing.Optional[typing.Callable] = None,
):
"""
Generates a multimethod.
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----------
argument_extractor : ArgumentExtractorType
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akfamily/akshare | 590e50eece9ec067da3538c7059fd660b71f1339 | akshare/futures/cons.py | python | get_json_path | (name, module_file) | return module_json_path | 获取 JSON 配置文件的路径(从模块所在目录查找)
:param name: 文件名
:param module_file: filename
:return: str json_file_path | 获取 JSON 配置文件的路径(从模块所在目录查找)
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:return: str json_file_path | [
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"""
获取 JSON 配置文件的路径(从模块所在目录查找)
:param name: 文件名
:param module_file: filename
:return: str json_file_path
"""
module_folder = os.path.abspath(os.path.dirname(os.path.dirname(module_file)))
module_json_path = os.path.join(module_folder, "file_fold", na... | [
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YichenGong/Densely-Interactive-Inference-Network | cb2c23bc1aca7cafb523104b0db07df2332a877a | python/my/tensorflow/rnn_cell.py | python | TreeRNNCell.__call__ | (self, inputs, state, scope=None) | :param inputs: [N*B, I + B]
:param state: [N*B, d]
:param scope:
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numenta/nupic | b9ebedaf54f49a33de22d8d44dff7c765cdb5548 | external/linux32/lib/python2.6/site-packages/matplotlib/axes.py | python | Axes.__pick | (self, x, y, trans=None, among=None) | return ds[0][1] | Return the artist under point that is closest to the *x*, *y*.
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deluge-torrent/deluge | 2316088f5c0dd6cb044d9d4832fa7d56dcc79cdc | deluge/maketorrent.py | python | TorrentMetadata.set_pad_files | (self, pad) | Enable padding files for the torrent.
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shunyaoshih/TPA-LSTM | 598cfc90f778856084f0ca80b463894e7ea26481 | lib/data_generator.py | python | DataGenerator._float_list_feature | (self, value) | return tf.train.Feature(float_list=tf.train.FloatList(value=value)) | [] | def _float_list_feature(self, value):
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IntelPython/sdc | 1ebf55c00ef38dfbd401a70b3945e352a5a38b87 | sdc/utilities/utils.py | python | gen_getitem | (out_var, in_var, ind, calltypes, nodes) | [] | def gen_getitem(out_var, in_var, ind, calltypes, nodes):
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dowjones/hammer | 674028a067cad91ce1a84577d30afe7b895f2a6a | hammer/reporting-remediation/reporting/create_s3bucket_acl_issue_tickets.py | python | CreateS3BucketsTickets.create_tickets_s3buckets | (self) | Class method to create jira tickets | Class method to create jira tickets | [
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mdiazcl/fuzzbunch-debian | 2b76c2249ade83a389ae3badb12a1bd09901fd2c | windows/Resources/Python/Core/Lib/email/feedparser.py | python | FeedParser.__init__ | (self, _factory=message.Message) | return | _factory is called with no arguments to create a new message obj | _factory is called with no arguments to create a new message obj | [
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suavecode/SUAVE | 4f83c467c5662b6cc611ce2ab6c0bdd25fd5c0a5 | trunk/SUAVE/Plots/Performance/Mission_Plots.py | python | plot_battery_pack_conditions | (results, line_color = 'bo-', line_color2 = 'rs--', save_figure = False, save_filename = "Battery_Pack_Conditions", file_type = ".png") | return | This plots the battery pack conditions of the network
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zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_flaskbb/lib/python2.7/site-packages/jinja2/environment.py | python | TemplateExpression.__init__ | (self, template, undefined_to_none) | [] | def __init__(self, template, undefined_to_none):
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tobegit3hub/deep_image_model | 8a53edecd9e00678b278bb10f6fb4bdb1e4ee25e | java_predict_client/src/main/proto/tensorflow/python/ops/rnn.py | python | _reverse_seq | (input_seq, lengths) | return results | Reverse a list of Tensors up to specified lengths.
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IronLanguages/ironpython3 | 7a7bb2a872eeab0d1009fc8a6e24dca43f65b693 | Src/StdLib/Lib/encodings/charmap.py | python | StreamWriter.__init__ | (self,stream,errors='strict',mapping=None) | [] | def __init__(self,stream,errors='strict',mapping=None):
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GMvandeVen/continual-learning | a02db26d3b10754abdc4a549bdcde6af488c94e0 | callbacks.py | python | _sample_cb | (log, config, visdom=None, test_datasets=None, sample_size=64, iters_per_task=None) | return sample_cb if (visdom is not None) else None | Initiates function for evaluating samples of generative model.
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sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/combinat/root_system/type_relabel.py | python | CartanType.ascii_art | (self, label=lambda i: i, node=None) | return self._type.ascii_art(lambda i: label(self._relabelling[i]), node) | Return an ascii art representation of this Cartan type.
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sage: print(CartanType(["B", 3, 1]).relabel([1,3,2,0]).ascii_art())
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hyperledger/aries-cloudagent-python | 2f36776e99f6053ae92eed8123b5b1b2e891c02a | aries_cloudagent/utils/classloader.py | python | ClassLoader.load_subclass_of | (cls, base_class: Type, mod_path: str, package: str = None) | return imported_class | Resolve an implementation of a base path within a module.
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zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_flaskbb/lib/python2.7/site-packages/dateutil/tz/win.py | python | tzwin.__repr__ | (self) | return "tzwin(%s)" % repr(self._name) | [] | def __repr__(self):
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andabi/music-source-separation | ba9aa531ccca08437f1efe5dec1871faebf5c840 | mir_eval/hierarchy.py | python | _hierarchy_bounds | (intervals_hier) | return min(boundaries), max(boundaries) | Compute the covered time range of a hierarchical segmentation.
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PySimpleGUI/PySimpleGUI | 6c0d1fb54f493d45e90180b322fbbe70f7a5af3c | PySimpleGUIQt/PySimpleGUIQt.py | python | Output.write | (self, m) | MUST be called write. Don't mess with. It's called by Python itself because of reroute
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linxid/Machine_Learning_Study_Path | 558e82d13237114bbb8152483977806fc0c222af | Machine Learning In Action/Chapter5-LogisticRegression/venv/Lib/_dummy_thread.py | python | LockType.__init__ | (self) | [] | def __init__(self):
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IronLanguages/main | a949455434b1fda8c783289e897e78a9a0caabb5 | External.LCA_RESTRICTED/Languages/IronPython/repackage/pip/pip/_vendor/requests/utils.py | python | default_user_agent | (name="python-requests") | return '%s/%s' % (name, __version__) | Return a string representing the default user agent. | Return a string representing the default user agent. | [
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"""Return a string representing the default user agent."""
return '%s/%s' % (name, __version__) | [
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enthought/comtypes | 8f3abc93c213fccdf9cae54aa88bfc1dfc17b8e9 | comtypes/client/dynamic.py | python | _Dispatch.QueryInterface | (self, *args) | return self._comobj.QueryInterface(*args) | QueryInterface is forwarded to the real com object. | QueryInterface is forwarded to the real com object. | [
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home-assistant/core | 265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1 | homeassistant/components/panasonic_viera/media_player.py | python | PanasonicVieraTVEntity.device_class | (self) | return MediaPlayerDeviceClass.TV | Return the device class of the device. | Return the device class of the device. | [
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tebelorg/RPA-Python | 9e8b2b417777a0780a0d19c9f880a9bb8ac2e976 | tagui.py | python | _tagui_output | () | return tagui_output_text | function to wait for tagui output file to read and delete it | function to wait for tagui output file to read and delete it | [
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global _tagui_delay, _tagui_init_directory
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init_directory_output_file = os.path.join(_tagui_init_directory, 'rpa_python.txt')
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upyun/python-sdk | dabff535df78d5beba4c989a6b8a046977079cdc | examples/upload.py | python | rest_upload | () | rest文件上传 | rest文件上传 | [
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"""
rest文件上传
"""
with open(local_file, "rb") as f:
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evennia/evennia | fa79110ba6b219932f22297838e8ac72ebc0be0e | evennia/comms/comms.py | python | DefaultChannel.at_channel_creation | (self) | Called once, when the channel is first created. | Called once, when the channel is first created. | [
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Called once, when the channel is first created.
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edisonlz/fastor | 342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3 | base/site-packages/debug_toolbar/views.py | python | sql_profile | (request) | Returns the output of running the SQL and getting the profiling statistics.
Expected GET variables:
sql: urlencoded sql with positional arguments
params: JSON encoded parameter values
duration: time for SQL to execute passed in from toolbar just for redisplay
hash: the hash of (secr... | Returns the output of running the SQL and getting the profiling statistics. | [
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Returns the output of running the SQL and getting the profiling statistics.
Expected GET variables:
sql: urlencoded sql with positional arguments
params: JSON encoded parameter values
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mrlesmithjr/Ansible | d44f0dc0d942bdf3bf7334b307e6048f0ee16e36 | roles/ansible-vsphere-management/scripts/pdns/lib/python2.7/site-packages/pip/download.py | python | get_file_content | (url, comes_from=None, session=None) | return url, content | Gets the content of a file; it may be a filename, file: URL, or
http: URL. Returns (location, content). Content is unicode. | Gets the content of a file; it may be a filename, file: URL, or
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"""Gets the content of a file; it may be a filename, file: URL, or
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if session is None:
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cgat-developers/ruffus | fc8fa8dcf7b5f4b877e5bb712146e87abd26d046 | ruffus/task.py | python | Pipeline.set_tail_tasks | (self, tail_tasks) | Specifies tasks at the tail of the pipeline,
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"""
Specifies tasks at the tail of the pipeline,
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"""
self.tail_tasks = tail_tasks | [
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fabtools/fabtools | 5fdc7174c3fae5e93a16d677d0466f41dc2be175 | fabtools/python.py | python | is_installed | (package, python_cmd='python', pip_cmd='pip') | return (package.lower() in packages) | Check if a Python package is installed (using pip).
Package names are case insensitive.
Example::
from fabtools.python import virtualenv
import fabtools
with virtualenv('/path/to/venv'):
fabtools.python.install('Flask')
assert fabtools.python.is_installed('fla... | Check if a Python package is installed (using pip). | [
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] | def is_installed(package, python_cmd='python', pip_cmd='pip'):
"""
Check if a Python package is installed (using pip).
Package names are case insensitive.
Example::
from fabtools.python import virtualenv
import fabtools
with virtualenv('/path/to/venv'):
fabtools.p... | [
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awslabs/aws-data-wrangler | 548f5197bacd91bd50ebc66a0173eff9c56f69b1 | awswrangler/_config.py | python | _Config.concurrent_partitioning | (self) | return cast(bool, self["concurrent_partitioning"]) | Property concurrent_partitioning. | Property concurrent_partitioning. | [
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] | def concurrent_partitioning(self) -> bool:
"""Property concurrent_partitioning."""
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andresriancho/w3af | cd22e5252243a87aaa6d0ddea47cf58dacfe00a9 | w3af/plugins/attack/db/sqlmap/lib/core/option.py | python | _adjustLoggingFormatter | () | Solves problem of line deletition caused by overlapping logging messages
and retrieved data info in inference mode | Solves problem of line deletition caused by overlapping logging messages
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"""
Solves problem of line deletition caused by overlapping logging messages
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if hasattr(FORMATTER, '_format'):
return
def format(record):
message = FORMATTER._format(record)
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llSourcell/AI_Artist | 3038c06c2e389b9c919c881c9a169efe2fd7810e | lib/python2.7/site-packages/pip/_vendor/pkg_resources/__init__.py | python | _SetuptoolsVersionMixin.__getitem__ | (self, key) | return tuple(self)[key] | [] | def __getitem__(self, key):
return tuple(self)[key] | [
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tensorflow/tensor2tensor | 2a33b152d7835af66a6d20afe7961751047e28dd | tensor2tensor/utils/metrics.py | python | padded_sequence_accuracy | (predictions,
labels,
weights_fn=common_layers.weights_nonzero) | Percentage of times that predictions matches labels everywhere (non-0). | Percentage of times that predictions matches labels everywhere (non-0). | [
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] | def padded_sequence_accuracy(predictions,
labels,
weights_fn=common_layers.weights_nonzero):
"""Percentage of times that predictions matches labels everywhere (non-0)."""
# If the last dimension is 1 then we're using L1/L2 loss.
if common_layers.shape_list... | [
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