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647f594b1d03d31d1e230c66200c22b7fad4a48d | 0a16415a4e7657570b95e96c16a9bffbeeddd279 | /tools/kapture_import_nvm.py | 51630405a5daa7db60b1f532cab574f15d4a7757 | [
"MIT",
"BSD-3-Clause"
] | permissive | naver/kapture | 13fda56217751ac12c77f0be658815ea6a598fa8 | 392677fb974aaa7c9c7c65d05c09abdb8a681124 | refs/heads/main | 2023-08-24T16:25:20.195565 | 2023-03-29T15:58:07 | 2023-03-29T15:58:07 | 275,164,995 | 386 | 64 | BSD-3-Clause | 2023-09-04T15:48:49 | 2020-06-26T13:40:30 | Python | UTF-8 | Python | false | false | 16,410 | py | kapture_import_nvm.py | #!/usr/bin/env python3
# Copyright 2020-present NAVER Corp. Under BSD 3-clause license
"""
This script imports an NVM model in the kapture format.
VisualSFM saves SfM workspaces into NVM files, which contain input image paths and multiple 3D models.
Below is the format description
NVM_V3 [optional calibration] ... |
ec19c205bb8d30cfcd469351f321e88872ca4542 | bb33e6be8316f35decbb2b81badf2b6dcf7df515 | /source/res/scripts/client/gui/impl/gen/view_models/views/lobby/battle_matters/battle_matters_exchange_rewards_model.py | 2049d1de7682e1e458d4a583f79410dd76c233cf | [] | no_license | StranikS-Scan/WorldOfTanks-Decompiled | 999c9567de38c32c760ab72c21c00ea7bc20990c | d2fe9c195825ececc728e87a02983908b7ea9199 | refs/heads/1.18 | 2023-08-25T17:39:27.718097 | 2022-09-22T06:49:44 | 2022-09-22T06:49:44 | 148,696,315 | 103 | 39 | null | 2022-09-14T17:50:03 | 2018-09-13T20:49:11 | Python | UTF-8 | Python | false | false | 933 | py | battle_matters_exchange_rewards_model.py | # Python bytecode 2.7 (decompiled from Python 2.7)
# Embedded file name: scripts/client/gui/impl/gen/view_models/views/lobby/battle_matters/battle_matters_exchange_rewards_model.py
from frameworks.wulf import ViewModel
class BattleMattersExchangeRewardsModel(ViewModel):
__slots__ = ()
def __init__(self, prope... |
0675ec33b47501852a2d6528b1dd5964a4a33e92 | 050fc5ca698dfd7612dee42aa980fc7b5eee40a2 | /skywalking/plugins/sw_happybase.py | 0df76ae1ccfb4b92531ba7c647401acc5610d99e | [
"Apache-2.0"
] | permissive | apache/skywalking-python | 8ac6ce06630c519f9984a45e74c1fcc88cf5b9d6 | 1a360228c63cd246dd4c5dd8e1f09bdd5556ad7d | refs/heads/master | 2023-09-05T02:45:56.225937 | 2023-08-28T22:19:24 | 2023-08-28T22:19:24 | 261,456,329 | 178 | 122 | Apache-2.0 | 2023-08-28T22:19:26 | 2020-05-05T12:13:49 | Python | UTF-8 | Python | false | false | 4,734 | py | sw_happybase.py | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... |
388a4851404674362e3720ac81fc7fa27b7334b3 | b1f587ee6eed481af0e453903e1c1ae7a2e7ef87 | /pyxtal/miscellaneous/test_get_csd.py | 284e1b350b8c7109701709dc1003b43a933bd132 | [
"MIT"
] | permissive | qzhu2017/PyXtal | cdae49664c876c8d2b452b0c3f0db36587c34532 | 9fdb4ec509da6a97a239a3ae4fcfa427dcf32eff | refs/heads/master | 2023-08-20T08:20:37.452641 | 2023-08-11T15:15:36 | 2023-08-11T15:15:36 | 128,165,891 | 194 | 62 | MIT | 2023-07-01T13:00:11 | 2018-04-05T06:08:04 | Python | UTF-8 | Python | false | false | 2,054 | py | test_get_csd.py | import warnings
warnings.filterwarnings('ignore')
from ase.db import connect
from pyxtal import pyxtal
from pyxtal.util import search_csd_entries_by_code
strucs = []
for csd in [#'GLYCIN01', 'HUSVUM', 'HIHDUZ', 'DOPSIK', 'TABQOG03', 'DUPXOD',
#'GLYMSN10', 'GOBFAF', 'GOBZOO', 'ARAZEZ','HMBENZ21', 'BEMQUF... |
93758fe9ec323250f80daac9bc1155046cb3e452 | ea57d267ab31480d8d731b2c095e9da9ad989133 | /aea/test_tools/generic.py | 0f5f8c36a26f44cf224a9603c7dc02ee43c5cf42 | [
"Apache-2.0"
] | permissive | fetchai/agents-aea | 6d034f1db6f3beacf31dac2f5a1baaa60c8edb7d | bec49adaeba661d8d0f03ac9935dc89f39d95a0d | refs/heads/main | 2023-08-08T23:19:06.276643 | 2023-02-04T10:46:39 | 2023-02-04T10:46:39 | 203,558,879 | 192 | 58 | Apache-2.0 | 2023-07-19T04:45:26 | 2019-08-21T10:12:47 | Python | UTF-8 | Python | false | false | 7,470 | py | generic.py | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2023 Fetch.AI Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the ... |
8a7898c3cd1b03df464d24a9eddca810d037851a | 6267a009f15f15381e7c35417f47afe64f13b618 | /hvac/api/system_backend/wrapping.py | 142561c1a5c869bfc6c31ade1244004a762e115d | [
"Apache-2.0"
] | permissive | hvac/hvac | f46b114d34067a1563a31c8888dd791a11e52c3c | 1f88016df7d8d882d154c491e351bac15b4093b5 | refs/heads/main | 2023-08-16T22:39:11.126707 | 2023-08-14T20:22:10 | 2023-08-14T20:22:10 | 35,126,062 | 731 | 304 | Apache-2.0 | 2023-09-11T19:02:21 | 2015-05-05T21:56:50 | Python | UTF-8 | Python | false | false | 1,146 | py | wrapping.py | from hvac.api.system_backend.system_backend_mixin import SystemBackendMixin
class Wrapping(SystemBackendMixin):
def unwrap(self, token=None):
"""Return the original response inside the given wrapping token.
Unlike simply reading cubbyhole/response (which is deprecated), this endpoint provides add... |
2efdaf67b0d250387cc7b8843ecab1818cbf11e0 | 50dd46b8ece33f3cdd174284b15d1d51f89669d4 | /third_party/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/lib2to3/fixes/fix_xrange.py | 109c5ca2d08bfd9477085ed7a5ec2ff734a058e8 | [
"LicenseRef-scancode-other-copyleft",
"LicenseRef-scancode-python-cwi",
"LicenseRef-scancode-free-unknown",
"Python-2.0",
"GPL-1.0-or-later",
"LicenseRef-scancode-generic-cla",
"Apache-2.0",
"BSD-2-Clause",
"OpenSSL"
] | permissive | google/google-ctf | f99da1ee07729bbccb869fff1cbaed6a80e43bcc | df02323eaf945d15e124801c74abaadca2749dc7 | refs/heads/master | 2023-08-31T14:30:27.548081 | 2023-08-29T13:04:20 | 2023-08-29T13:04:20 | 131,317,137 | 4,136 | 607 | Apache-2.0 | 2023-08-30T22:17:02 | 2018-04-27T15:56:03 | Go | UTF-8 | Python | false | false | 2,772 | py | fix_xrange.py | # Copyright 2007 Google, Inc. All Rights Reserved.
# Licensed to PSF under a Contributor Agreement.
"""Fixer that changes xrange(...) into range(...)."""
# Local imports
from .. import fixer_base
from ..fixer_util import Name, Call, consuming_calls
from .. import patcomp
class FixXrange(fixer_base.BaseFi... |
8dac53d737a127da99f45cc55316e1315453fab8 | be815aacbd7b06ac0ce3f412831639aa0297b988 | /pipe-cli/src/utilities/permissions_operations.py | 0744d403b96cad6713d843a354509c02d9bcee24 | [
"Apache-2.0"
] | permissive | epam/cloud-pipeline | 8a861dae60d0f86089ff55e2f278e8593fc5e112 | 570dd898e96de931b96e584c86e72296b0e40607 | refs/heads/develop | 2023-08-30T08:03:18.672866 | 2023-08-29T17:07:13 | 2023-08-29T17:07:13 | 174,065,041 | 155 | 73 | Apache-2.0 | 2023-09-14T13:36:36 | 2019-03-06T03:34:40 | Java | UTF-8 | Python | false | false | 1,013 | py | permissions_operations.py | # Copyright 2017-2020 EPAM Systems, Inc. (https://www.epam.com/)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
c68d82581cfc277c65f4e9ea858566452472a04b | baa2c6f22ff563d417e34692bf3345077eb8fa5f | /IPython/core/tests/print_argv.py | 4ec9e2799ede8f83053fbe20df50b0ee097dda77 | [
"BSD-3-Clause"
] | permissive | ipython/ipython | c42ea223b6e391bb7dd39888cb959d4d5d6b21a1 | e5103f971233fd66b558585cce7a4f52a716cd56 | refs/heads/main | 2023-08-30T18:27:18.436521 | 2023-08-29T12:16:00 | 2023-08-29T12:16:00 | 658,518 | 13,673 | 4,729 | BSD-3-Clause | 2023-09-12T20:22:09 | 2010-05-10T04:46:06 | Python | UTF-8 | Python | false | false | 32 | py | print_argv.py | import sys
print(sys.argv[1:])
|
9c8683a4ee6778b0861f5631e3da4e3d578d1988 | bb33e6be8316f35decbb2b81badf2b6dcf7df515 | /source/res/common_ext/scripts/client/__init__.py | 4b276f151ec1424b1bd76fd0fa7ead27c752ef40 | [] | no_license | StranikS-Scan/WorldOfTanks-Decompiled | 999c9567de38c32c760ab72c21c00ea7bc20990c | d2fe9c195825ececc728e87a02983908b7ea9199 | refs/heads/1.18 | 2023-08-25T17:39:27.718097 | 2022-09-22T06:49:44 | 2022-09-22T06:49:44 | 148,696,315 | 103 | 39 | null | 2022-09-14T17:50:03 | 2018-09-13T20:49:11 | Python | UTF-8 | Python | false | false | 116 | py | __init__.py | # Python bytecode 2.7 (decompiled from Python 2.7)
# Embedded file name: common_ext/scripts/client/__init__.py
pass
|
bdb55db5e0f341f9d1c04b6cdacf00035f9050d0 | 479a9c76b19b84d6cde69305828031cd2531aa56 | /testing/classifier_test_err_on_empty_sets.py | 9b596ec9d5118fae54919ef7779d2c0809c08bf4 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | mldbai/mldb | d36801bd99dd3f82d7557cd0f438b0121f63f22c | 19bc4bc92a41ee8ad4eab0979dffd9c985d95758 | refs/heads/master | 2023-09-03T22:59:11.621839 | 2022-12-30T18:42:24 | 2022-12-30T18:42:24 | 47,634,692 | 701 | 107 | Apache-2.0 | 2023-02-10T23:08:05 | 2015-12-08T16:34:16 | C++ | UTF-8 | Python | false | false | 3,314 | py | classifier_test_err_on_empty_sets.py | #
# classifier_test_err_on_empty_sets.py
# Mich, 2016-06-07
# This file is part of MLDB. Copyright 2016 mldb.ai inc. All rights reserved.
#
from mldb import mldb, MldbUnitTest, ResponseException
import os
tmp_dir=os.getenv("TMP")
class ClassifierTestErrorWhenNoDataTest(MldbUnitTest): # noqa
@classmethod
def... |
40092c1ca67dff26c5d470fb40c42c1871e93323 | 3abc1fef99ac6ce0b845a1090fae7f6875fee729 | /src/ralph/data_center/migrations/0014_custom_move_managment_to_networks.py | 0d8d7301db8c0d89a8c00ad7d932e1210b2b7d72 | [
"Apache-2.0"
] | permissive | allegro/ralph | 5ff9165a202e836061c99e8af20214e0d651622f | b4a72356f527b1f12c7babd7465d2d7fa3ffb0d3 | refs/heads/ng | 2023-09-02T01:13:43.672554 | 2023-09-01T09:48:38 | 2023-09-01T09:48:38 | 4,359,038 | 1,970 | 617 | Apache-2.0 | 2023-09-01T09:44:39 | 2012-05-17T14:04:57 | Python | UTF-8 | Python | false | false | 2,325 | py | 0014_custom_move_managment_to_networks.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import ipaddress
from django.db import migrations, models
def move_to_networks(apps, schema_editor):
DataCenterAsset = apps.get_model('data_center', 'DataCenterAsset')
IPAddress = apps.get_model('networks', 'IPAddress')
assets = DataCenterA... |
9e2f111209554ff43f64f473dbb562d12ed90183 | 2f1e3f24f2798507c9eb73185a955c9bfb735140 | /libreco/algorithms/rnn4rec.py | 6217dcbb1765bc92c7425ae443118d9452277283 | [
"MIT"
] | permissive | massquantity/LibRecommender | e4f55b06b2208c794a3f97f7ff89413fa9beaffa | 8d5fbe9c177f5b91c2b6f19a155a83320dd0e20c | refs/heads/master | 2023-08-31T23:48:37.634663 | 2023-08-20T11:58:15 | 2023-08-20T11:58:15 | 174,493,761 | 251 | 55 | MIT | 2023-08-20T11:58:16 | 2019-03-08T07:58:27 | Python | UTF-8 | Python | false | false | 9,365 | py | rnn4rec.py | """Implementation of RNN4Rec model."""
from ..bases import DynEmbedBase, ModelMeta
from ..layers import embedding_lookup, normalize_embeds, tf_dense, tf_rnn
from ..tfops import dropout_config, reg_config, tf
from ..torchops import hidden_units_config
from ..utils.misc import count_params
class RNN4Rec(DynEmbedBase, m... |
4efdc34a94c6f5cc5f4b217374c44bae682394d0 | 751fe2de18f00596e4f1ed342b56bd6f38ee2053 | /wisdem/rotorse/rotor_power.py | d34f691fd49c2f52091a66578d7ae81824fdc68b | [
"Apache-2.0"
] | permissive | WISDEM/WISDEM | 42fa780915d62fd4e4203050e886093ecc806c8a | d7270ebe1c554293a9d36730d67ab555c071cb17 | refs/heads/master | 2023-08-04T01:22:43.215105 | 2023-06-22T23:36:07 | 2023-06-22T23:36:07 | 23,678,280 | 120 | 86 | Apache-2.0 | 2023-06-22T19:26:34 | 2014-09-04T20:30:24 | Python | UTF-8 | Python | false | false | 47,627 | py | rotor_power.py | """
Script that computes the regulation trajectory of the rotor and the annual energy production
Nikhar J. Abbas, Pietro Bortolotti
January 2020
"""
import logging
import numpy as np
from openmdao.api import Group, ExplicitComponent
from scipy.optimize import brentq, minimize, minimize_scalar
from scipy.interpolate ... |
9aa7fa4963d7e54db9d917f1f9322015b71c3ebe | e04a5b20f946c5033f24d4dd8acda395a98747c5 | /h2o/custom-recipes/h2o-build-model/recipe.py | 0d5a7646838446942407d4380b65ee888bfbdea9 | [
"LicenseRef-scancode-free-unknown",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-other-permissive"
] | permissive | dataiku/dataiku-contrib | 2a2f2fb420d7f2ab49b82d80659cc6f6ec1d8f61 | 9a9f189e8a544a81c205d8a8b3779d4517b88653 | refs/heads/master | 2023-09-04T03:33:58.625093 | 2023-04-26T08:17:34 | 2023-04-26T08:17:34 | 45,074,604 | 103 | 94 | Apache-2.0 | 2023-06-08T21:29:07 | 2015-10-27T22:41:00 | Python | UTF-8 | Python | false | false | 3,962 | py | recipe.py | # coding: utf-8
import dataiku
from dataiku.customrecipe import *
import pandas as pd
import os, sys, json, shutil
import h2o
from h2o_utils import DSS_dataset_to_H2O_frame, saved_model_folder
## init h2o
ip = get_plugin_config()['h2o_server_ip']
port = int(get_plugin_config()['h2o_server_port'])
h2o.init(ip, port)
#... |
5336fb2fc5f663884881e6ec71ce361087510092 | 40282fc3afc28166ce01cdf2240d445a1930f2b0 | /docs/sections/section5/solutions/breakout_1_sol.py | 003975ee8e69ce82e64900a0fb14ea887ffb7b23 | [
"MIT"
] | permissive | Harvard-IACS/2020-CS109A | 7dac61f88aefe9647fe7e3eabb3dc6ef85cc8d73 | 665100fec24309edb818a51bc8c29db2912d370f | refs/heads/master | 2022-07-31T18:05:47.127653 | 2021-11-17T22:30:00 | 2021-11-17T22:30:00 | 287,811,847 | 114 | 123 | MIT | 2022-05-04T06:26:14 | 2020-08-15T19:28:34 | Jupyter Notebook | UTF-8 | Python | false | false | 937 | py | breakout_1_sol.py | # init breakout 1 solution
# Train model
model1_wine = LogisticRegression(penalty='none').fit(X_wine_train, y_wine_train)
# Score model
train_score = model1_wine.score(X_wine_train, y_wine_train)
test_score = model1_wine.score(X_wine_test, y_wine_test)
# Print scores
print("Training Set Accuracy: {:.4f}".format(trai... |
e0da69acd1b096f5475b650be74766344cd7511b | 6a85191d6c2ae1e0db5873e7c6cb5d341eb72253 | /benchs/bench_speed.py | 6709e121c14fd4195aa06b4d859040aac920dbca | [
"MIT"
] | permissive | KinglittleQ/torch-batch-svd | 3875b182ec2b496fda46dacbbb4e972b741d8223 | c0a96119187f7d55f939d2ff2b92942c6d6ca930 | refs/heads/master | 2022-10-23T06:23:39.906646 | 2022-10-10T05:27:37 | 2022-10-10T05:27:37 | 171,496,660 | 356 | 36 | MIT | 2022-05-04T02:51:00 | 2019-02-19T15:17:40 | C++ | UTF-8 | Python | false | false | 837 | py | bench_speed.py | import torch
from torch_batch_svd import svd
def bench_speed(N, H, W):
start = torch.cuda.Event(enable_timing=True)
end = torch.cuda.Event(enable_timing=True)
torch.manual_seed(0)
a = torch.randn(N, H, W).cuda()
b = a.clone().cuda()
torch.cuda.synchronize()
start.record()
for i in ra... |
dd73a6754441408b1a4f5ad1b7e3558d638e9101 | d110546d747d7e3865ce5742d5fca09f404623c0 | /tests/pytests/functional/cli/test_batch.py | e721b729cfe4ea93ae8c4b249ab4713abeeb9d80 | [
"Apache-2.0",
"MIT",
"BSD-2-Clause"
] | permissive | saltstack/salt | 354fc86a7be1f69514b3dd3b2edb9e6f66844c1d | 1ef90cbdc7203f97775edb7666db86a41eb9fc15 | refs/heads/master | 2023-07-19T20:56:20.210556 | 2023-06-29T23:12:28 | 2023-07-19T11:47:47 | 1,390,248 | 11,026 | 6,296 | Apache-2.0 | 2023-09-14T20:45:37 | 2011-02-20T20:16:56 | Python | UTF-8 | Python | false | false | 6,639 | py | test_batch.py | """
tests.pytests.functional.cli.test_batch
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
"""
import salt.cli.batch
import salt.config
import salt.utils.jid
from tests.support.mock import Mock, patch
class MockPub:
"""
Mock salt.client.LocalClient.pub method
"""
calls = 0
initial_ping = False
batch... |
7b9b11f5f7d3a5a8406787721a4fdba4305924d8 | 12f0bd77926127cdacc2452d6f9cfed91806b2fe | /idaes/models_extra/gas_distribution/properties/natural_gas.py | b972d431cc493c1ea43d9b25c80a8eea42f78399 | [
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | IDAES/idaes-pse | e03d2583ae1ba968a7099f9f439fd8c3efa12904 | deacf4c422bc9e50cb347e11a8cbfa0195bd4274 | refs/heads/main | 2023-08-16T19:13:00.355572 | 2023-08-04T04:19:29 | 2023-08-04T04:19:29 | 168,622,088 | 173 | 227 | NOASSERTION | 2023-09-11T16:04:55 | 2019-02-01T01:12:51 | Python | UTF-8 | Python | false | false | 16,502 | py | natural_gas.py | #################################################################################
# The Institute for the Design of Advanced Energy Systems Integrated Platform
# Framework (IDAES IP) was produced under the DOE Institute for the
# Design of Advanced Energy Systems (IDAES).
#
# Copyright (c) 2018-2023 by the software own... |
71fef814f2176bb56c5a64cd711d59869c097434 | 0c3cf82c1f3f4dfe3f7d3a3d0f5912a25c821264 | /pandasdmx/urn.py | aec252a27a0555d3b6b332e54859059b108176b4 | [
"LicenseRef-scancode-warranty-disclaimer",
"Python-2.0",
"Apache-2.0"
] | permissive | dr-leo/pandaSDMX | ae9ac430433afa0e57a574ba0aea416fdb3c399f | c72224efd2219db9b926de9c7ca8d312132ab592 | refs/heads/master | 2023-03-10T17:40:08.026395 | 2023-02-25T19:23:44 | 2023-02-25T19:23:44 | 21,954,882 | 128 | 60 | Apache-2.0 | 2023-02-25T13:33:19 | 2014-07-17T19:33:42 | Python | UTF-8 | Python | false | false | 1,655 | py | urn.py | import re
from typing import Dict
from pandasdmx.model import PACKAGE, MaintainableArtefact
# Regular expression for URNs
URN = re.compile(
r"urn:sdmx:org\.sdmx\.infomodel"
r"\.(?P<package>[^\.]*)"
r"\.(?P<class>[^=]*)=((?P<agency>[^:]*):)?"
r"(?P<id>[^\(\.]*)(\((?P<version>[\d\.]*)\))?"
r"(\.(?P<... |
fd3b5f22ee2a1b6a36abe98888fa8ef6b1e1282a | 019f03d6713a2bc5344b644aeb5ebe70aaf7cfd0 | /src/super_gradients/common/exceptions/sg_trainer_exceptions.py | 73202c50a13df2418ef7fc23fa20bb5ee5c3a241 | [
"LicenseRef-scancode-proprietary-license",
"Apache-2.0"
] | permissive | Deci-AI/super-gradients | 6f52cd15bc2f9f39e3cdc6067292b6512aba5dd0 | 7240726cf6425b53a26ed2faec03672f30fee6be | refs/heads/master | 2023-08-25T17:47:02.595029 | 2023-08-24T11:50:50 | 2023-08-24T11:50:50 | 432,652,408 | 3,237 | 331 | Apache-2.0 | 2023-09-14T11:24:46 | 2021-11-28T07:58:02 | Jupyter Notebook | UTF-8 | Python | false | false | 1,268 | py | sg_trainer_exceptions.py | class UnsupportedTrainingParameterFormat(Exception):
"""Exception raised illegal training param format.
:param desc: Explanation of the error
"""
def __init__(self, desc: str):
self.message = "Unsupported training parameter format: " + desc
super().__init__(self.message)
class Unsupp... |
69b6b2065f5e70111452420d2ea2d5889446f83b | 92b2002d90f4a3d8d7ae2e10c3dc9df3145e6e80 | /examples/minimal.py | 01087600256f70fb90c86c36a5c439f5a0037aed | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | sciter-sdk/pysciter | 62cc25d75f9630c84ad446316effae91592e339c | a32b2cee5e6ada5c2bd210bf790710671668cbe1 | refs/heads/master | 2023-08-17T08:23:46.645047 | 2022-08-27T00:48:52 | 2022-08-27T03:24:46 | 51,951,031 | 403 | 49 | MIT | 2022-08-27T03:24:47 | 2016-02-17T19:57:51 | Python | UTF-8 | Python | false | false | 298 | py | minimal.py | """Minimalistic PySciter sample for Windows."""
import sciter
if __name__ == '__main__':
sciter.runtime_features(file_io=True, allow_sysinfo=True)
frame = sciter.Window(ismain=True, uni_theme=True)
frame.minimal_menu()
frame.load_file("examples/minimal.htm")
frame.run_app()
|
0d5ee2af7245061d495ab3b5f5e19fcae85ca42f | 4124e6d1a99b40e3e990915969899ba0ddfa9390 | /kaldi/matrix/packed.py | 17f3206e1624f32f143cad09faec49385b0f47e4 | [
"LicenseRef-scancode-proprietary-license",
"Apache-2.0"
] | permissive | pykaldi/pykaldi | 23f0554072e99fbfa036be27a1b4d1e08f719525 | b482f79a334383a16a3805d658aa221ca3d23c6d | refs/heads/master | 2023-03-10T06:02:38.465779 | 2022-05-29T21:24:42 | 2022-05-29T21:24:42 | 94,806,200 | 1,019 | 283 | Apache-2.0 | 2022-09-18T13:34:33 | 2017-06-19T18:05:19 | Python | UTF-8 | Python | false | false | 9,317 | py | packed.py | from . import _kaldi_matrix
import _matrix_common # FIXME: Relative/absolute import is buggy in Python 3.
from . import _packed_matrix
from . import _sp_matrix
from . import _tp_matrix
################################################################################
# single precision packed matrix types
##############... |
9a9bff98d86e84402ffa9854fd3ff33b11ca04d1 | bb33e6be8316f35decbb2b81badf2b6dcf7df515 | /source/res/scripts/client/gui/Scaleform/daapi/view/lobby/prb_windows/__init__.py | aaa15e299059770892415dbb4e89b99363571a8e | [] | no_license | StranikS-Scan/WorldOfTanks-Decompiled | 999c9567de38c32c760ab72c21c00ea7bc20990c | d2fe9c195825ececc728e87a02983908b7ea9199 | refs/heads/1.18 | 2023-08-25T17:39:27.718097 | 2022-09-22T06:49:44 | 2022-09-22T06:49:44 | 148,696,315 | 103 | 39 | null | 2022-09-14T17:50:03 | 2018-09-13T20:49:11 | Python | UTF-8 | Python | false | false | 4,177 | py | __init__.py | # Python bytecode 2.7 (decompiled from Python 2.7)
# Embedded file name: scripts/client/gui/Scaleform/daapi/view/lobby/prb_windows/__init__.py
from frameworks.wulf import WindowLayer
from gui.Scaleform.daapi.settings.views import VIEW_ALIAS
from gui.Scaleform.framework import ScopeTemplates, ComponentSettings, GroupedV... |
5606e56d8675469ac42ba379db7dc888ddfdbddc | 279f415dd1e06c594c6c87deda57e201c73c4542 | /test/espnet2/utils/test_eer.py | 8c44c334b4153ac1e343a5018efdae88b75d294b | [
"Apache-2.0"
] | permissive | espnet/espnet | f7ba47271c1a6b1ed606dbbfb04a7f14220bb585 | bcd20948db7846ee523443ef9fd78c7a1248c95e | refs/heads/master | 2023-08-28T23:43:34.238336 | 2023-08-23T02:51:39 | 2023-08-23T02:51:39 | 114,054,873 | 7,242 | 2,244 | Apache-2.0 | 2023-09-14T08:01:11 | 2017-12-13T00:45:11 | Python | UTF-8 | Python | false | false | 591 | py | test_eer.py | import pytest
from espnet2.utils.eer import ComputeErrorRates, ComputeMinDcf, tuneThresholdfromScore
@pytest.mark.parametrize(
"scores, labels, eer",
[([0.0, 1.0], [0, 1], 0.0), ([0.7, 0.2, 0.9, 0.3], [0, 1, 0, 1], 100.0)],
)
def test_eer_computation(scores, labels, eer):
results = tuneThresholdfromScore... |
8ca81420eb4a07b62d8b3b742e299c1efa39e5d9 | 0ae45f428c4ad4c5a5e4861e68380b451d11132f | /trench/backends/aws.py | 7d8cfaed3f1ae583a5d208353ebd4b01cda96c31 | [
"MIT"
] | permissive | merixstudio/django-trench | 09645d38b40dccf3b3db19b1c020a8ea8c35d741 | b7f0eb4f0031e6013826e59a38ebd7010661cfd9 | refs/heads/develop | 2023-06-10T21:21:30.426789 | 2023-03-17T08:18:30 | 2023-03-17T08:18:30 | 151,680,451 | 270 | 53 | NOASSERTION | 2023-05-25T02:33:36 | 2018-10-05T06:39:47 | Python | UTF-8 | Python | false | false | 1,460 | py | aws.py | from django.utils.translation import gettext_lazy as _
import logging
import boto3
import botocore.exceptions
from trench.backends.base import AbstractMessageDispatcher
from trench.responses import (
DispatchResponse,
FailedDispatchResponse,
SuccessfulDispatchResponse,
)
from trench.settings import AWS_AC... |
7f1ae740797336605ae009af3208d4d6dca930d3 | 432ea480327c3e0ce37d605d1c4ac29a8b653853 | /src/visions/typesets/typeset.py | f42fa302178044f52a7f0c8a7ded1e21d5169dd3 | [
"BSD-4-Clause",
"BSD-2-Clause"
] | permissive | dylan-profiler/visions | 3f7f99b06cc8a7b90cb4df988dbbec6c329a8e0a | a0b55bbf95e6efe001195e4b497358d6283966b5 | refs/heads/develop | 2022-11-27T01:17:01.735418 | 2022-10-30T10:44:37 | 2022-10-30T10:44:37 | 227,633,867 | 188 | 23 | NOASSERTION | 2022-10-05T23:06:31 | 2019-12-12T15:09:01 | Python | UTF-8 | Python | false | false | 15,020 | py | typeset.py | import warnings
from functools import singledispatch
from pathlib import Path
from typing import (
Any,
Dict,
Iterable,
List,
Optional,
Sequence,
Set,
Tuple,
Type,
TypeVar,
Union,
)
import networkx as nx
import pandas as pd
from visions.types.generic import Generic
from vis... |
6ff8b6a6f28bcc1e77853be40c923520aadc5f95 | 51819802a13fbf4c71ea0f6ee3771b86fcf1834c | /srsly/tests/ruamel_yaml/test_fail.py | 02cef0b11f5ecb59408ecb0eeac299c049de26d3 | [
"MIT"
] | permissive | explosion/srsly | 1860eda76b79bce49e46a8edeb39828774d1d900 | 1aa4ae1b690b513092ce1e58257427cddf38e97f | refs/heads/master | 2023-08-23T00:56:04.762619 | 2023-07-24T11:40:07 | 2023-07-24T11:40:07 | 159,904,634 | 383 | 43 | MIT | 2023-07-25T12:13:06 | 2018-12-01T03:21:56 | Python | UTF-8 | Python | false | false | 6,290 | py | test_fail.py | # coding: utf-8
# there is some work to do
# provide a failing test xyz and a non-failing xyz_no_fail ( to see
# what the current failing output is.
# on fix of srsly.ruamel_yaml, move the marked test to the appropriate test (without mark)
# and remove remove the xyz_no_fail
import pytest
from .roundtrip import roun... |
0835da7cedca8f7ab911ceca733269288141afa2 | bed34365a9dab825fd9f4a4ff1b0863f441266ac | /neutron/api/v2/base.py | 4dffbed7c43d3434f2cb63405480932939645e29 | [
"Apache-2.0"
] | permissive | openstack/neutron | 0913ee3cd69d5bdb9c10aa084d4e1803abee320c | dde31aae392b80341f6440eb38db1583563d7d1f | refs/heads/master | 2023-08-31T13:09:41.831598 | 2023-08-31T11:37:30 | 2023-08-31T11:37:30 | 2,400,289 | 1,174 | 1,325 | Apache-2.0 | 2022-06-29T08:00:05 | 2011-09-16T16:04:08 | Python | UTF-8 | Python | false | false | 38,420 | py | base.py | # Copyright (c) 2012 OpenStack Foundation.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... |
3fe267d37c2a2bdde093c6098cd591609956cbe4 | 2337351b228818e41be3002bd38f68f77c2aa074 | /sa/profiles/Huawei/VRP3/get_config.py | 0535150e9cb761312a0874ad37bff71b275ed4dc | [
"BSD-3-Clause"
] | permissive | nocproject/noc | 57d40c680a1499374463e472434f9595ed6d1374 | 6e6d71574e9b9d822bec572cc629a0ea73604a59 | refs/heads/master | 2023-08-31T01:11:33.544573 | 2023-08-30T17:31:11 | 2023-08-30T17:31:11 | 107,815,776 | 105 | 33 | BSD-3-Clause | 2023-07-31T07:57:45 | 2017-10-21T21:04:33 | Python | UTF-8 | Python | false | false | 950 | py | get_config.py | # ---------------------------------------------------------------------
# Huawei.VRP3.get_config
# sergey.sadovnikov@gmail.com
# ---------------------------------------------------------------------
# Copyright (C) 2007-2019 The NOC Project
# See LICENSE for details
# ---------------------------------------------------... |
f948c90a2ad774777e348ade41d56aa7d9b65453 | 4fb35218d67890a6e011b149be391dfd78d931b7 | /self_instruct/src/data_processing/generate_char_image_prompts.py | 231055635444f2de8e0d463ae5866c79a9d8cc3b | [
"Apache-2.0"
] | permissive | IlyaGusev/rulm | 8d76dc9f1b230e314412673b3b3ed7312b1de3db | ede656a2fa6cd68af8ae3dfecde300758a9bae6f | refs/heads/master | 2023-07-28T10:31:47.336766 | 2023-07-26T19:03:23 | 2023-07-26T19:03:23 | 148,945,566 | 204 | 23 | Apache-2.0 | 2023-08-26T13:07:05 | 2018-09-15T22:45:08 | Jupyter Notebook | UTF-8 | Python | false | false | 2,852 | py | generate_char_image_prompts.py | import json
import os
import shutil
import fire
from jinja2 import Template
from tqdm import tqdm
from src.util.io import read_jsonl, write_jsonl
from src.util.openai import openai_batch_completion, OpenAIDecodingArguments
def encode_prompt(char, template_path):
with open(template_path) as f:
template =... |
bcf2c78d58dbedbcc7a2d9e792e0ec6c93e7ca0d | 09557f76830b73d95ac1c7175833bc74280db53b | /dmb/utils/dist_utils.py | 249c42feb428e5d54f3d41b2a98e251a8499deb8 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | DeepMotionAIResearch/DenseMatchingBenchmark | e32c6c0846dcb4103289d539be28ef7382b70c8e | 010aeb66e3ceaf3d866036b0ca751861df39432d | refs/heads/master | 2021-11-11T18:56:05.160934 | 2021-11-08T10:28:47 | 2021-11-08T10:28:47 | 222,069,511 | 183 | 39 | null | null | null | null | UTF-8 | Python | false | false | 3,042 | py | dist_utils.py | from collections import OrderedDict
import torch.distributed as dist
from torch._utils import (
_flatten_dense_tensors, _unflatten_dense_tensors, _take_tensors
)
from mmcv.runner import OptimizerHook
try:
from apex import amp
import apex
except ImportError:
raise ImportError('Use APEX for multi-precis... |
fb2b0f739ab1ad22597faf3a1c5d59a3764404d0 | 95b4a15808b9c412c8364db80fd619a65dd587e0 | /src/compas/geometry/_core/predicates_3.py | 55560cdf7a9f675f965a06b1f27ce75bb64b8d32 | [
"MIT"
] | permissive | compas-dev/compas | 11d5c4d9afd554833297b4a5dbe6a975e6940ce3 | 486e2e9332553240bcbd80e100d26bff58071709 | refs/heads/main | 2023-08-31T15:49:32.430570 | 2023-08-17T10:19:52 | 2023-08-17T10:19:52 | 104,857,648 | 286 | 116 | MIT | 2023-09-12T13:53:36 | 2017-09-26T08:28:01 | Python | UTF-8 | Python | false | false | 17,563 | py | predicates_3.py | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
from math import fabs
from compas.utilities import window
from compas.geometry import subtract_vectors
from compas.geometry import cross_vectors
from compas.geometry import dot_vectors
from compas.geometry im... |
0b92fdcbde539dba413e965eb06dc0debf7c1664 | 4506d81df5ae98078e5cbe79f613514ad12b1c83 | /nipype/interfaces/slicer/registration/specialized.py | e03f1a95b1686f5c4ba2800d7d0bcbf55494ccf9 | [
"BSD-3-Clause",
"Apache-2.0"
] | permissive | nipy/nipype | d52eba1b98fda68e24d006ac0d5701fc8a531b9c | 03a236320fa229299d637ff9af97865a6ae76aca | refs/heads/master | 2023-08-28T10:36:07.020541 | 2023-08-25T13:40:09 | 2023-08-25T13:40:09 | 791,477 | 692 | 569 | NOASSERTION | 2023-09-11T06:04:51 | 2010-07-22T17:06:49 | Python | UTF-8 | Python | false | false | 25,701 | py | specialized.py | """Autogenerated file - DO NOT EDIT
If you spot a bug, please report it on the mailing list and/or change the generator."""
from nipype.interfaces.base import (
CommandLine,
CommandLineInputSpec,
SEMLikeCommandLine,
TraitedSpec,
File,
Directory,
traits,
isdefined,
InputMultiPath,
... |
89cf808962ee35982e6ea2b77b1a1e5ea997cc5d | bec3ad1268b2b45941a2f4277ccd8e2a0860952e | /2020/KAPO/Child_Beubmi/config.py | 0e7363311e68c327e8357b72be93152e89498b55 | [] | no_license | pcw109550/write-up | 7a5e19e6c52f7831c6c7709331eb84b9a67cfd2c | bf6ab22619a107c8eb4011861a3c1ea80ac1c9f8 | refs/heads/master | 2023-07-08T18:10:56.780156 | 2023-07-04T17:28:12 | 2023-07-04T17:28:12 | 186,902,436 | 168 | 34 | null | 2023-02-08T05:21:24 | 2019-05-15T21:03:53 | Sage | UTF-8 | Python | false | false | 1,170 | py | config.py | (N, e, ct) = (463082806219936580883135666334369918679238281446351110278776719661479088673665544319208959694407590613953423024929195611477219164472874962273346765831858927593487925977518628492905858122061607836951556625898739173918175634438349489053081163089035828510864774700923582441063158846702096255234134036013036677... |
f617a19ca804c92fe834ce7fc2946085dafed5d0 | ec85250addb7357dfe7bb3e0680d53fc7b0fd8fb | /python_modules/libraries/dagster-azure/dagster_azure_tests/adls2_tests/test_io_manager.py | 93701dd7fe8d03d6c69ff3e6632aaaa7c3be4ad4 | [
"Apache-2.0"
] | permissive | dagster-io/dagster | 6adb5deee8bcf3ea1866a6a64f2ed81e1db5e73a | fe21995e0402878437a828c6a4244025eac8c43b | refs/heads/master | 2023-09-05T20:46:08.203794 | 2023-09-05T19:54:52 | 2023-09-05T19:54:52 | 131,619,646 | 8,565 | 1,154 | Apache-2.0 | 2023-09-14T21:57:37 | 2018-04-30T16:30:04 | Python | UTF-8 | Python | false | false | 12,272 | py | test_io_manager.py | from uuid import uuid4
import pytest
from azure.storage.filedatalake import DataLakeLeaseClient
from dagster import (
AssetIn,
AssetKey,
DagsterInstance,
DagsterRun,
DynamicOut,
DynamicOutput,
GraphOut,
In,
Int,
Out,
asset,
build_input_context,
build_output_context,
... |
c5f51fd472d21caabf4836f8f0093a4ec2d8b6b0 | d6aae799e18e907fb413b715200c7832252a87e5 | /responsible_ai/data_cleansing/datasets/create_cifar10_csv.py | 5c0e4010ec658ff2c623e2527eaa1795cc380761 | [
"BSD-3-Clause",
"MIT",
"LicenseRef-scancode-proprietary-license",
"Apache-2.0",
"CC-BY-NC-4.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | sony/nnabla-examples | 0d0bbd5df3028996e790bcf07248fdb0932697d1 | 41f71faa6efff7774a76bbd5af3198322a90a6ab | refs/heads/master | 2023-09-04T03:45:54.023899 | 2023-08-22T03:31:21 | 2023-08-22T03:31:21 | 109,625,584 | 308 | 108 | Apache-2.0 | 2023-08-22T03:31:23 | 2017-11-05T23:30:40 | Python | UTF-8 | Python | false | false | 7,610 | py | create_cifar10_csv.py | # Copyright 2021 Sony Corporation.
# Copyright 2021 Sony Group Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... |
e975437d8e08f014c028d73e896b04089bbcc6ff | 6b6d42eadf53e90b08ce564fb188a9a4b126ef12 | /testsuite/tests/properties/imprecise_is_dot_call/test.py | 4b914051ea65f2aa64e7f6f48e4bc9cd4219142d | [
"Apache-2.0",
"LLVM-exception",
"NCSA"
] | permissive | AdaCore/libadalang | f97b95d1672cb1e5083c49ee632c6f9c787d36c2 | 50d658afa70ccbf46b8f7d9d43a21d45d56b206c | refs/heads/master | 2023-09-01T18:34:26.976692 | 2023-08-25T15:53:43 | 2023-08-25T15:53:43 | 47,627,172 | 158 | 49 | Apache-2.0 | 2022-12-14T10:29:45 | 2015-12-08T14:28:22 | Ada | UTF-8 | Python | false | false | 556 | py | test.py | import sys
import libadalang as lal
for filename in sys.argv[1:]:
print('== {} =='.format(filename))
u = lal.AnalysisContext().get_from_file(filename)
assert not u.diagnostics
for n in u.root.findall(lal.DottedName):
is_dot_call_precise = n.p_is_dot_call(imprecise_fallback=False)
is_... |
7ef63801e9b67b597ad1f02ae48d429b7c2d8a41 | ec120a737f147a0e5c495ede305098345a1055a8 | /niftymic/application/register_image.py | bddcc793a7e1391a701f3939a328b40bf4edf76a | [
"BSD-3-Clause",
"LicenseRef-scancode-free-unknown"
] | permissive | gift-surg/NiftyMIC | bbc56009f300d4572b92177098ebe319e646a613 | 553bce0824e7b40cd221897b683142d9aeee77d8 | refs/heads/master | 2022-03-08T06:18:29.877635 | 2022-02-15T12:58:45 | 2022-02-15T12:58:45 | 108,846,947 | 118 | 31 | BSD-3-Clause | 2020-11-26T17:47:34 | 2017-10-30T12:21:38 | Python | UTF-8 | Python | false | false | 10,207 | py | register_image.py | ##
# \file register_image.py
# \brief Script to register the obtained reconstruction to a template
# space.
#
# \author Michael Ebner (michael.ebner.14@ucl.ac.uk)
# \date October 2017
#
import re
import os
import numpy as np
import SimpleITK as sitk
import pysitk.python_helper as ph
import ... |
f6c2b712ba5ad5340544139ac8a437bec567b4b4 | 10cb11f83e1c8b51b9d72c28d6259a56ff1a97c8 | /tests/unit/lib/utils/test_boto_utils.py | 626d9d1ab2578ae7ae8b10693e01d9759da10c25 | [
"Apache-2.0",
"BSD-3-Clause",
"MIT",
"BSD-2-Clause"
] | permissive | aws/aws-sam-cli | 6d4411aacf7f861e75e5cf4882a32858797a276d | b297ff015f2b69d7c74059c2d42ece1c29ea73ee | refs/heads/develop | 2023-08-30T23:28:36.179932 | 2023-08-30T21:58:26 | 2023-08-30T21:58:26 | 92,205,085 | 1,402 | 470 | Apache-2.0 | 2023-09-14T21:14:23 | 2017-05-23T18:16:23 | Python | UTF-8 | Python | false | false | 5,290 | py | test_boto_utils.py | from unittest import TestCase
from unittest.mock import patch, Mock
from parameterized import parameterized
from samcli.lib.utils.boto_utils import (
get_boto_config_with_user_agent,
get_boto_client_provider_with_config,
get_boto_resource_provider_with_config,
get_boto_resource_provider_from_session_w... |
0474c1216340f5a96572bb5924fbec4f134cfaa4 | 6e235014528acc05996e6a4ef2b33e348bbc5114 | /json_to_models/models/string_converters.py | 988abdd0e80e619f739d351b346816ca6c85ab25 | [
"MIT"
] | permissive | bogdandm/json2python-models | f7cf02417c38de587d86aa045756c6b61aa42cb1 | e2606e8f2c22d3bc11b09f5eb2bc73323ce151c5 | refs/heads/master | 2023-01-13T03:47:47.135160 | 2023-01-02T12:28:47 | 2023-01-02T12:28:47 | 144,019,032 | 153 | 12 | MIT | 2023-01-02T12:18:26 | 2018-08-08T13:40:00 | Python | UTF-8 | Python | false | false | 6,197 | py | string_converters.py | from functools import wraps
from inspect import isclass
from typing import Any, Callable, List, Optional, Tuple
from . import ClassType
from ..dynamic_typing import (
BaseType,
DDict,
DList,
DOptional,
DUnion,
MetaData,
ModelMeta,
ModelPtr,
StringLiteral,
StringSerializable
)
fr... |
7826ab481bd46145aedaa5af279da3048327cf84 | f80ef3a3cf859b13e8af8433af549b6b1043bf6e | /pyobjc-framework-IOBluetoothUI/setup.py | d6348366ee9147205b7a01c47f3420d8ae26ca04 | [
"MIT"
] | permissive | ronaldoussoren/pyobjc | 29dc9ca0af838a56105a9ddd62fb38ec415f0b86 | 77b98382e52818690449111cd2e23cd469b53cf5 | refs/heads/master | 2023-09-01T05:15:21.814504 | 2023-06-13T20:00:17 | 2023-06-13T20:00:17 | 243,933,900 | 439 | 49 | null | 2023-06-25T02:49:07 | 2020-02-29T08:43:12 | Python | UTF-8 | Python | false | false | 825 | py | setup.py | """
Wrappers for the "IOBluetoothUI" framework on macOS.
These wrappers don't include documentation, please check Apple's documentation
for information on how to use this framework and PyObjC's documentation
for general tips and tricks regarding the translation between Python
and (Objective-)C frameworks
"""
import o... |
59c49eaf756c01fae0fffa3756d2b8fd6d4ea950 | c641636e184c0ec1dcc7b851bad678c898cdd05d | /legacy/examples/SAGPool/layers.py | 3dfa0822ece9e564adfbc9b15e0a62e1e1f4b08d | [
"Apache-2.0"
] | permissive | PaddlePaddle/PGL | d8f0a82854a141bee1afdddd9a77bdd723c83ed8 | 7a55649d46d7ad93de31eb9b3ebf71b82d1fcffb | refs/heads/main | 2023-08-17T10:33:02.425526 | 2023-08-04T02:52:06 | 2023-08-04T02:52:06 | 191,286,408 | 1,719 | 341 | Apache-2.0 | 2023-08-04T02:52:07 | 2019-06-11T03:23:28 | Python | UTF-8 | Python | false | false | 5,024 | py | layers.py | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
a353f873272b601c3a1090f0b1c8c5f91146f789 | 04b020de6a2bc96bc8b30b369c4440e360f60e88 | /tests/unit/server/server_tests.py | 07dc7bf985e0d2d1008ea3df2ff22979b167b88f | [
"BSD-2-Clause",
"LicenseRef-scancode-warranty-disclaimer",
"BSD-3-Clause",
"CC-BY-SA-3.0",
"LicenseRef-scancode-proprietary-license",
"BSD-3-Clause-Modification",
"LicenseRef-scancode-other-copyleft",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | reddit/baseplate.py | 5dbfaac91dafab31078f44b3d3438669c9ddeac0 | 114248987ce0e8a0ddd102c80b00ef43f4dbf14e | refs/heads/develop | 2023-09-05T15:34:26.476934 | 2023-08-07T21:52:49 | 2023-08-07T21:52:49 | 44,694,978 | 237 | 125 | BSD-3-Clause | 2023-09-05T19:22:27 | 2015-10-21T18:07:55 | Python | UTF-8 | Python | false | false | 6,766 | py | server_tests.py | import io
import socket
import sys
import unittest
from unittest import mock
import pytest
from baseplate import server
from baseplate.lib import config
EXAMPLE_ENDPOINT = config.EndpointConfiguration(socket.AF_INET, ("127.0.0.1", 1234))
class ParseArgsTests(unittest.TestCase):
def test_no_args(self):
... |
6dc7c3da9af6f34bc37700d143dfebfa2e88625b | 52245910f830dbfb2b1432ad2a967df7321ee6de | /panel/theme/__init__.py | 80b6d93a7cf824640223ad2e5bfb47ea503cc1bb | [
"BSD-3-Clause"
] | permissive | holoviz/panel | 92c19f979353d456512abbce5a027dff6ddb3a5c | 2c6e165e2bba96c0cb97947aa072d4429133cf7a | refs/heads/main | 2023-08-17T11:28:06.581979 | 2023-08-17T11:23:09 | 2023-08-17T11:23:09 | 145,848,899 | 2,544 | 373 | BSD-3-Clause | 2023-09-14T17:13:31 | 2018-08-23T12:14:24 | Python | UTF-8 | Python | false | false | 627 | py | __init__.py | """
The theme module contains Design and Theme components.
Each Design applies a coherent design system (e.g. bootstrap or
material) to a template or a set of components, while Theme objects
implement different color palettes (e.g. dark or default).
"""
from .base import ( # noqa
THEMES, DarkTheme, DefaultTheme,... |
04c9f14aa427f8f19fc1f37bafd6d2ee8f443f63 | a79c7c01b97e391bcd833a8b7b1dfd7cf982d59c | /tests/unit/experience_replay_tests.py | 50f61a69cae5bf0fe570de4ab1cc87cc3cc00a98 | [
"Apache-2.0"
] | permissive | learnables/cherry | 32f3a545563e0446ad3b0243a5cc8225033c0a7f | f4164a53dcc762ac5ce53a761fb54f3f69847f90 | refs/heads/master | 2023-06-27T14:20:06.027516 | 2023-06-26T01:34:54 | 2023-06-26T01:34:54 | 159,752,575 | 185 | 33 | Apache-2.0 | 2023-06-26T01:34:56 | 2018-11-30T01:46:38 | Python | UTF-8 | Python | false | false | 21,118 | py | experience_replay_tests.py | #!/usr/bin/env python3
import unittest
import random
import numpy as np
import torch as th
import cherry as ch
import os
import copy
NUM_SAMPLES = 100
VECTOR_SIZE = 5
def close(a, b):
return (a-b).norm(p=2) <= 1e-8
class TestExperienceReplay(unittest.TestCase):
def setUp(self):
self.replay = ch.... |
45973df7debe7c5b0f52bf00a6989cb4cb83faa6 | 87d9e6c0606ec9b18d2016fe4e21601c7b37b216 | /src/postmarker/models/domains.py | b44280d3722b5ebb73658ae65d9e02f106cd3caf | [
"Python-2.0",
"MIT"
] | permissive | Stranger6667/postmarker | d693f1b4d03f8770c5415048ad896601ba618a04 | c5717014b6c837502353a8a5361832cb3bc49d7b | refs/heads/master | 2023-06-22T01:57:01.797338 | 2022-01-15T14:09:43 | 2022-01-15T14:09:43 | 69,878,276 | 116 | 28 | MIT | 2023-06-20T20:17:31 | 2016-10-03T14:24:07 | Python | UTF-8 | Python | false | false | 2,119 | py | domains.py | from .base import Model, ModelManager
class Domain(Model):
def __str__(self):
return "{}: {} ({})".format(
self.__class__.__name__,
self._data.get("Name"),
self._data.get("ID"),
)
def get(self):
new_instance = self._manager.get(self.ID)
self... |
d2c778f4bf398e89bae51307d1abf0d9dd4563dd | b4faab9b904d155ce6e781a675f972dcb810c008 | /nunif/modules/charbonnier_loss.py | 4149bd784782a6f99ca7426aef64ee5a97c2ca5b | [
"MIT",
"CC-BY-NC-4.0",
"Apache-2.0"
] | permissive | nagadomi/nunif | 0c595d3e61f3c89082ce7481cfba139b85ac863d | 6d4b92da09801572e984b05f6733d460b60250aa | refs/heads/master | 2023-08-31T21:29:56.460275 | 2023-08-21T18:16:01 | 2023-08-21T18:16:01 | 202,088,108 | 486 | 59 | MIT | 2023-08-04T05:51:17 | 2019-08-13T07:23:32 | Python | UTF-8 | Python | false | false | 622 | py | charbonnier_loss.py | from torch import nn
import torch
def charbonnier_loss(input, target, reduction="mean", eps=1.0e-6):
loss = torch.sqrt(((input - target) ** 2) + eps ** 2)
if reduction is None or reduction == "none":
return loss
elif reduction == "mean":
return loss.mean()
else:
return loss.sum... |
02145d5e509634892ea13491ac95d3e4d6f67dbc | 74164811083a502d294d970ade1ec81aa49e130c | /MicroTokenizer/ensemble/merge_solutions.py | 8f8e4337ab4bdf24c09c72173d5c395ace888f04 | [
"MIT"
] | permissive | howl-anderson/MicroTokenizer | 51d89a52edd84f863e8f06426a8da5517b2b9c1a | f0ad19ee42fc947f432dfcbe687a474ccc78c7c8 | refs/heads/master | 2023-01-05T12:42:27.294464 | 2021-09-28T10:32:02 | 2021-09-28T10:32:02 | 137,062,055 | 153 | 19 | MIT | 2022-12-26T20:40:49 | 2018-06-12T11:28:38 | Python | UTF-8 | Python | false | false | 2,856 | py | merge_solutions.py | import networkx as nx
class MergeSolutions(object):
def __init__(self):
self.G = nx.DiGraph()
self.start_node = "<start>"
self.G.add_node(self.start_node, label=self.start_node)
self.end_node = "<end>"
self.G.add_node(self.end_node, label=self.end_node)
self.existi... |
53c4e89784ea79247256eedb1dc4d6ed13ea8b66 | 568fa58296378fa129ab3349adf010daa44ed45b | /tests/common/test_run/ascend/prelu_run.py | ac8101af8ba5acba9887263f551f12d6db146a04 | [
"Apache-2.0",
"BSD-3-Clause",
"NCSA",
"X11-distribute-modifications-variant",
"Zlib",
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"Unlicense",
"LLVM-exception",
"BSD-2-Clause"
] | permissive | mindspore-ai/akg | 37f471badc66de6a831f1f45ad84344f34d23ef2 | 99f33858d6972741748cbfc9ab0bf9600428fef7 | refs/heads/master | 2023-07-25T23:03:17.672665 | 2023-07-11T07:33:57 | 2023-07-11T07:33:57 | 274,077,856 | 319 | 36 | Apache-2.0 | 2021-12-30T13:43:08 | 2020-06-22T08:09:05 | Python | UTF-8 | Python | false | false | 3,218 | py | prelu_run.py | # Copyright 2019-2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... |
f83267d1fc636e99cbf1b3b104a834af0a1b3017 | 96dcea595e7c16cec07b3f649afd65f3660a0bad | /tests/components/automation/test_recorder.py | 4aa84dbd6027eeee50828515f325a0225861adaf | [
"Apache-2.0"
] | permissive | home-assistant/core | 3455eac2e9d925c92d30178643b1aaccf3a6484f | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | refs/heads/dev | 2023-08-31T15:41:06.299469 | 2023-08-31T14:50:53 | 2023-08-31T14:50:53 | 12,888,993 | 35,501 | 20,617 | Apache-2.0 | 2023-09-14T21:50:15 | 2013-09-17T07:29:48 | Python | UTF-8 | Python | false | false | 2,199 | py | test_recorder.py | """The tests for automation recorder."""
from __future__ import annotations
import pytest
from homeassistant.components import automation
from homeassistant.components.automation import (
ATTR_CUR,
ATTR_LAST_TRIGGERED,
ATTR_MAX,
ATTR_MODE,
CONF_ID,
)
from homeassistant.components.recorder import R... |
4212a4edb1893a80b545e6994ddf43b1c2e9501a | 2dd26e031162e75f37ecb1f7dd7f675eeb634c63 | /nemo/collections/nlp/models/language_modeling/megatron_gpt_peft_models.py | c32c9a8c5d237090ba4c325076c309b770897bb5 | [
"Apache-2.0"
] | permissive | NVIDIA/NeMo | 1b001fa2ae5d14defbfd02f3fe750c5a09e89dd1 | c20a16ea8aa2a9d8e31a98eb22178ddb9d5935e7 | refs/heads/main | 2023-08-21T15:28:04.447838 | 2023-08-21T00:49:36 | 2023-08-21T00:49:36 | 200,722,670 | 7,957 | 1,986 | Apache-2.0 | 2023-09-14T18:49:54 | 2019-08-05T20:16:42 | Python | UTF-8 | Python | false | false | 24,598 | py | megatron_gpt_peft_models.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... |
54c6354058966ea39fddc399ce65ad91ab5718cb | 811f4cdb25e26f3b27640aaa2e2bca93e660d2d7 | /tools/benchmarking/utils/__init__.py | b9eebfed7836c8126a66de81f48d7e1ee64757fc | [
"CC-BY-SA-4.0",
"CC-BY-SA-3.0",
"CC-BY-NC-SA-4.0",
"Python-2.0",
"Apache-2.0"
] | permissive | openvinotoolkit/anomalib | 4467dfc392398845e816387267cdf979ff76fe15 | 4abfa93dcfcb98771bc768b334c929ff9a02ce8b | refs/heads/main | 2023-09-03T16:49:05.019269 | 2023-08-28T14:22:19 | 2023-08-28T14:22:19 | 423,775,360 | 2,325 | 454 | Apache-2.0 | 2023-09-14T11:21:33 | 2021-11-02T09:11:38 | Python | UTF-8 | Python | false | false | 269 | py | __init__.py | """Utils specific to running benchmarking scripts."""
# Copyright (C) 2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
from .metrics import upload_to_comet, upload_to_wandb, write_metrics
__all__ = ["write_metrics", "upload_to_comet", "upload_to_wandb"]
|
8e7439bbfa2655c6d8deb5074f0ac35c55bbe3eb | 7e844c1b6f06941285a91bd488700a90ce142216 | /tests/conftest.py | 530a4c2a5f9917d62ffed2e2eecfdb8164655740 | [
"Apache-2.0"
] | permissive | psf/requests | 8e0ae54deb392c335de687522394ffb8445292e7 | 8b560ecb24ee4fa4e839272dcf2653a4fa525a34 | refs/heads/main | 2023-09-04T15:46:56.978881 | 2023-08-29T14:27:10 | 2023-08-29T14:27:10 | 1,362,490 | 13,941 | 3,733 | Apache-2.0 | 2023-09-14T09:01:08 | 2011-02-13T18:38:17 | Python | UTF-8 | Python | false | false | 1,581 | py | conftest.py | try:
from http.server import HTTPServer, SimpleHTTPRequestHandler
except ImportError:
from BaseHTTPServer import HTTPServer
from SimpleHTTPServer import SimpleHTTPRequestHandler
import ssl
import threading
import pytest
from requests.compat import urljoin
def prepare_url(value):
# Issue #1483: Make... |
aeadc457adde8c5a5a1074465fa3785d889fe25b | 5e9576c368e98927e2965bd2fb23bd35d9993d69 | /featuretools/primitives/standard/aggregation/last.py | 45728cb3fed49f36a2a4d8c76e8925e94fa89811 | [
"BSD-3-Clause"
] | permissive | alteryx/featuretools | c6e319e063e8e84e7684bf232376f95dc5272160 | c284c2d27a95b81e0bae913ac90df2b02c8f3b37 | refs/heads/main | 2023-08-25T12:21:33.945418 | 2023-08-23T16:30:25 | 2023-08-23T16:30:25 | 102,908,804 | 1,783 | 201 | BSD-3-Clause | 2023-09-07T18:53:19 | 2017-09-08T22:15:17 | Python | UTF-8 | Python | false | false | 656 | py | last.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.aggregation_primitive_base import AggregationPrimitive
from featuretools.utils.gen_utils import Library
class Last(AggregationPrimitive):
"""Determines the last value in a list.
Examples:
>>> last = Last()
>>> ... |
dcb8ada4ce86a1053dff4ca05e41cf422b2839bc | 5dc77586e3e0f9de1f032fd2ca68494d8e58928f | /great_expectations/dataset/pandas_dataset.py | 979294410278cfd94e1337aa0887ada654abbac5 | [
"Apache-2.0"
] | permissive | great-expectations/great_expectations | dd7c22e6277d6b08bee3ff38a015e6e8cd434df6 | b0290e2fd2aa05aec6d7d8871b91cb4478e9501d | refs/heads/develop | 2023-09-04T09:30:26.395518 | 2023-09-02T00:00:13 | 2023-09-02T00:00:13 | 103,071,520 | 8,931 | 1,535 | Apache-2.0 | 2023-09-14T19:57:16 | 2017-09-11T00:18:46 | Python | UTF-8 | Python | false | false | 68,612 | py | pandas_dataset.py | import inspect
import json
import logging
from datetime import datetime
from functools import wraps
from operator import ge, gt, le, lt
from typing import List
import jsonschema
import numpy as np
import pandas as pd
from dateutil.parser import parse
from scipy import stats
from great_expectations.compatibility.typin... |
4746eb98546fcdab2d925c17c06c1bd8a8181433 | 375a222af8a11353c86d4bcdfbcb5e6ac1b81a41 | /perceiver/data/text/collator.py | f32854b48dd24ff31ddd280c49b19e09b0f3f0c6 | [
"Apache-2.0"
] | permissive | krasserm/perceiver-io | 5a1ac14ea399d46c0331d82d11d8924b91265a31 | 4ac9b2c43164cf0372abf7d0239eba74ef3658e8 | refs/heads/main | 2023-06-25T07:28:11.173330 | 2023-06-12T11:02:45 | 2023-06-12T11:02:45 | 413,288,566 | 334 | 34 | Apache-2.0 | 2023-06-12T11:00:26 | 2021-10-04T05:42:06 | Python | UTF-8 | Python | false | false | 5,753 | py | collator.py | from collections import defaultdict
from typing import Optional
import numpy as np
import torch
from transformers import (
DataCollatorForLanguageModeling,
DataCollatorWithPadding,
DefaultDataCollator,
PreTrainedTokenizerFast,
)
from transformers.utils import PaddingStrategy
class Collator:
def ... |
cebe3db025e8533d23250302394f7131a5ceee86 | 6e56e6b4bb562cd1db6e38b5f089b863b77e087f | /dragonfly/exd/domains.py | 0b0130d34188bcdf460f14e273b79023dd2c199d | [
"MIT"
] | permissive | dragonfly/dragonfly | aa5f3a64bfe7800c44c32e58b487b5733c40035d | 3eef7d30bcc2e56f2221a624bd8ec7f933f81e40 | refs/heads/master | 2023-08-06T08:34:29.317771 | 2022-10-01T22:21:50 | 2022-10-01T22:21:50 | 130,418,835 | 868 | 374 | MIT | 2023-06-19T20:23:17 | 2018-04-20T22:19:50 | Python | UTF-8 | Python | false | false | 19,702 | py | domains.py | """
Harness to manage optimisation domains.
-- kandasamy@cs.cmu.edu
"""
# pylint: disable=invalid-name
# pylint: disable=arguments-differ
import numpy as np
from numbers import Number
from scipy.spatial.distance import cdist
class Domain(object):
""" Domain class. An abstract class which implements domains. ""... |
253b97c01f0e75944f29f05790ff224aca5935a0 | 6d54a7b26d0eb82152a549a6a9dfde656687752c | /scripts/py_matter_yamltests/matter_yamltests/pseudo_clusters/clusters/equality_commands.py | 30f6c80b8dea0fa0a16fb2f648483f7b873a8c93 | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | project-chip/connectedhomeip | 81a123d675cf527773f70047d1ed1c43be5ffe6d | ea3970a7f11cd227ac55917edaa835a2a9bc4fc8 | refs/heads/master | 2023-09-01T11:43:37.546040 | 2023-09-01T08:01:32 | 2023-09-01T08:01:32 | 244,694,174 | 6,409 | 1,789 | Apache-2.0 | 2023-09-14T20:56:31 | 2020-03-03T17:05:10 | C++ | UTF-8 | Python | false | false | 2,227 | py | equality_commands.py | #
# Copyright (c) 2023 Project CHIP Authors
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
740d7596120f1863668bbfe8b58da002604aa9b1 | aaabf5c6cea75fb6649fafff57d4e92e9b7142b8 | /smote_variants/_version.py | 270ce0483a784da82e5a31930c91ef037421e040 | [
"MIT"
] | permissive | analyticalmindsltd/smote_variants | febcdad7c64c5d6bce5a69a51d7228ea629aa7c4 | 708568e5b44abdc798d9329f993ac6561ad1439d | refs/heads/master | 2023-05-12T21:24:57.222534 | 2023-04-17T10:43:06 | 2023-04-17T10:43:06 | 151,773,885 | 434 | 106 | MIT | 2023-05-04T14:18:28 | 2018-10-05T20:21:54 | Jupyter Notebook | UTF-8 | Python | false | false | 141 | py | _version.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 28 17:21:13 2018
@author: gykovacs
"""
__version__= '0.7.1'
|
fb8d5cdb4b53966d71e0d06167c3ab2f5d9be19a | f8dee139258b7d971bd1cfa16bd16e356537bbac | /Contents/Libraries/Shared/subliminal/providers/addic7ed.py | 2926081e0d5644343d839c20dfd8276d66d42b83 | [
"MIT"
] | permissive | pannal/Sub-Zero.bundle | 79673016ae68d1f2e9886fd30b8763b73a8f6cf8 | 4ced7d8c8f9f5fb47d12410f87fa33d782e9f0f4 | refs/heads/master | 2023-07-27T23:04:32.925845 | 2023-07-09T13:07:38 | 2023-07-09T13:08:04 | 21,959,699 | 1,820 | 178 | NOASSERTION | 2022-11-28T03:23:13 | 2014-07-17T22:19:13 | Python | UTF-8 | Python | false | false | 12,524 | py | addic7ed.py | # -*- coding: utf-8 -*-
import logging
import re
from babelfish import Language, language_converters
from guessit import guessit
from requests import Session
from . import ParserBeautifulSoup, Provider
from .. import __short_version__
from ..cache import SHOW_EXPIRATION_TIME, region
from ..exceptions import Authentic... |
3584cdd944ab91f1b991a6bb3deab618a1a3343f | c7fda71ef70a7ffcc59ba648e164f5b7666d3fc8 | /test/parser/unit_operators/create_testcases/onnx_runner_generator.py | af350a1363496adbb4b8e7d1c59eef267fda0a77 | [
"Apache-2.0"
] | permissive | ai-techsystems/deepC | 6c7df32ba61f2e85fc1eab5af4ef4f5c1368cf71 | 064a7cc04f96e20013ad7ae26a6abd6ef16ab77c | refs/heads/master | 2023-08-04T06:08:20.817613 | 2022-10-29T15:12:26 | 2022-10-29T15:12:26 | 193,276,319 | 343 | 69 | Apache-2.0 | 2021-08-19T19:39:50 | 2019-06-22T20:23:12 | C++ | UTF-8 | Python | false | false | 1,782 | py | onnx_runner_generator.py | import os
def generate_onnx_runner(op_name, inputs):
py_file = '''
# Copyright 2018 The DNNC Authors. All Rights Reserved.
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding c... |
53d8af48707d94d482cc250ce94cc1fb52089dd2 | f53d2df2c979063c48ecf1e751d002c8a389c15c | /test/test_samples/pytest/test/inner_fixture_test.py | 6bb875efa1d88c8b4da9dada7e86c5c210152000 | [
"MIT"
] | permissive | kondratyev-nv/vscode-python-test-adapter | b5c98653d197dbf58de02070f627ca74e148e9e7 | 2d3a15a174ea48d19f9978d7942874eafc95107a | refs/heads/master | 2023-08-17T17:02:20.643958 | 2023-08-13T09:16:08 | 2023-08-13T09:16:08 | 147,100,981 | 120 | 33 | MIT | 2023-09-09T10:26:30 | 2018-09-02T16:08:33 | TypeScript | UTF-8 | Python | false | false | 1,178 | py | inner_fixture_test.py | import pytest
import unittest
class Test_CheckMyApp:
@unittest.skip("demonstrating skipping")
def test_simple_check_skipped(self):
pass
def test_complex_check_passed(self):
pass
class Test_NestedClassB:
class Test_nested_classC_Of_B:
def test_e_passed(self):
... |
cb407ded0e3d9a38d2023b81de55dcc43ef186ef | 0d6e9c15edafe14b5d373f2180809b94786cdb88 | /torch_mimicry/datasets/imagenet/imagenet.py | 4c3540ad70a70fc840898c14095ebf3ca5acea5e | [
"MIT"
] | permissive | kwotsin/mimicry | 6190e159f96418e9773a453aa17450f372767ffa | a7fda06c4aff1e6af8dc4c4a35ed6636e434c766 | refs/heads/master | 2023-08-02T21:49:54.864461 | 2022-08-07T18:28:05 | 2022-08-07T18:28:05 | 251,697,485 | 621 | 70 | MIT | 2022-08-07T18:30:23 | 2020-03-31T18:35:55 | Python | UTF-8 | Python | false | false | 7,704 | py | imagenet.py | """
Modified version of imagenet torchvision dataset source code to allow customised token
for automatic download.
"""
from __future__ import print_function
import os
import shutil
import tempfile
import torch
from torchvision.datasets import ImageFolder
from torchvision.datasets.utils import check_integrity, downlo... |
2eb22a2a7c62c893a979c6ce8f460f9cb1d554ea | 32809f6f425bf5665fc19de2bc929bacc3eeb469 | /src/0945-Minimum-Increment-to-Make-Array-Unique/0945.py | 2de851d68712850986a9c4c51a53a5ade9f835c8 | [] | no_license | luliyucoordinate/Leetcode | 9f6bf01f79aa680e2dff11e73e4d10993467f113 | bcc04d49969654cb44f79218a7ef2fd5c1e5449a | refs/heads/master | 2023-05-25T04:58:45.046772 | 2023-05-24T11:57:20 | 2023-05-24T11:57:20 | 132,753,892 | 1,575 | 569 | null | 2023-05-24T11:57:22 | 2018-05-09T12:30:59 | C++ | UTF-8 | Python | false | false | 579 | py | 0945.py | class Solution:
def minIncrementForUnique(self, A):
"""
:type A: List[int]
:rtype: int
"""
box, result, max_A = [0]*40000, 0, 0
for a in A:
box[a] += 1
if max_A < a:
max_A = a
for i in range(max_A):
... |
d5396da83f13c99ad0e15eb74d21acdce3291e1e | 3c6b36eb1f4f9760c52903f6d0ec4a501f948c90 | /osp/test/citations/utils/test_clean_field.py | 6b56816a35ced7eac7df62ca9313a0c89a1f6938 | [
"Apache-2.0"
] | permissive | davidmcclure/open-syllabus-project | 38444249af845013e3f281a7a713dca83159c56e | 078cfd4c5a257fbfb0901d43bfbc6350824eed4e | refs/heads/master | 2021-06-30T21:47:07.636558 | 2021-06-27T15:15:35 | 2021-06-27T15:15:35 | 50,152,020 | 220 | 14 | Apache-2.0 | 2021-06-27T15:11:15 | 2016-01-22T02:29:57 | Python | UTF-8 | Python | false | false | 373 | py | test_clean_field.py |
import pytest
from osp.citations.utils import clean_field
@pytest.mark.parametrize('raw,clean', [
('War and Peace', 'War and Peace'),
# Strip whitespace.
(' War and Peace ', 'War and Peace'),
# Empty -> None.
(None, None),
('', None),
(' ', None),
])
def test_clean_field(raw, cle... |
cbe9305740f7e0a9e8c7be9dbfcb606f8abb2758 | da1500e0d3040497614d5327d2461a22e934b4d8 | /third_party/web_platform_tests/XMLHttpRequest/resources/auth2/auth.py | 8b6682686c8709994a19ae430ed2120a047f9398 | [
"BSD-3-Clause",
"GPL-1.0-or-later",
"LGPL-2.0-or-later",
"Apache-2.0",
"MIT"
] | permissive | youtube/cobalt | 34085fc93972ebe05b988b15410e99845efd1968 | acefdaaadd3ef46f10f63d1acae2259e4024d383 | refs/heads/main | 2023-09-01T13:09:47.225174 | 2023-09-01T08:54:54 | 2023-09-01T08:54:54 | 50,049,789 | 169 | 80 | BSD-3-Clause | 2023-09-14T21:50:50 | 2016-01-20T18:11:34 | null | UTF-8 | Python | false | false | 309 | py | auth.py | import imp
import os
here = os.path.split(os.path.abspath(__file__))[0]
def main(request, response):
auth = imp.load_source("", os.path.join(here,
"..",
"authentication.py"))
return auth.main(request, response)
|
11be347a938f5c901b7ccf57ca56b023b6988126 | fb1e852da0a026fb59c8cb24aeb40e62005501f1 | /infoxlm/fairseq/fairseq/tasks/semisupervised_translation.py | 612ea48c46b1e28a4ab39522ac6f3323d0e6316a | [
"LicenseRef-scancode-unknown-license-reference",
"LGPL-2.1-or-later",
"LicenseRef-scancode-free-unknown",
"Apache-2.0",
"MIT"
] | permissive | microsoft/unilm | 134aa44867c5ed36222220d3f4fd9616d02db573 | b60c741f746877293bb85eed6806736fc8fa0ffd | refs/heads/master | 2023-08-31T04:09:05.779071 | 2023-08-29T14:07:57 | 2023-08-29T14:07:57 | 198,350,484 | 15,313 | 2,192 | MIT | 2023-08-19T11:33:20 | 2019-07-23T04:15:28 | Python | UTF-8 | Python | false | false | 19,504 | py | semisupervised_translation.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from collections import OrderedDict
import os
from fairseq.data import (
BacktranslationDataset,
IndexedCachedDataset,
IndexedDat... |
00131fab13b704870de4a2453e7aa99e38d101fc | e3cfab409afb5ff9a0b3812bf848be6ca9239cee | /pygeodesy/auxilats/_CX_4.py | 8f0be523af660c0f819c189cb7568d29290f9271 | [
"MIT"
] | permissive | mrJean1/PyGeodesy | 565266a4f7f6cda5abe98e915bbd868f6cbe1760 | eba35704b248a7a0388b30f3cea19793921e99b7 | refs/heads/master | 2023-08-23T13:58:20.069917 | 2023-08-20T18:50:45 | 2023-08-20T18:50:45 | 68,028,481 | 283 | 66 | null | 2022-04-09T00:40:52 | 2016-09-12T16:49:10 | Python | UTF-8 | Python | false | false | 8,662 | py | _CX_4.py |
# -*- coding: utf-8 -*-
u'''Coeficients for C{_AUXLATITUDE_ORDER} 4 from I{Karney}'s C++ class U{AuxLatitude
<https://GeographicLib.SourceForge.io/C++/doc/classGeographicLib_1_1AuxLatitude.html>}
trancoded to a double, uniquified Python C{dict[auxout][auxin]}.
Copyright (C) Charles Karney (2022-2023) Karney@Alum.MIT... |
7467182243f7e13e03f50be1eb53f31f8e21229d | f86c72ebd4a46d12cf8c750c1f7526c42e40111d | /utils/hershey_to_py.py | 1f1d396bf20004f36b3098daebf8878539bdf5ec | [
"MIT"
] | permissive | russhughes/st7789_mpy | 65e5052d4ca28db6423af38d24a3c90622a39cea | 47db47361eb89719cbc1c59b36e31cb69be03911 | refs/heads/master | 2023-07-24T10:32:43.458118 | 2023-06-11T06:26:28 | 2023-06-11T06:26:28 | 237,678,059 | 404 | 103 | NOASSERTION | 2023-07-13T04:30:05 | 2020-02-01T21:07:38 | Python | UTF-8 | Python | false | false | 7,189 | py | hershey_to_py.py | #!/usr/bin/env python3
"""
Convert Hershey font data to python module.
Usage: hershey_to_py.py <glyph_file> [map_file]
The glyph_file (hf) is the Hershey font data file. The map_file (hmp) is an optional file that maps
the Hershey font data to a character set. The hershey_to_py.py script is compatible with the outp... |
920117c4e439d7bda4b90683be3b7bd5fa33da1d | b95d2aef1da5489d20b0d068ef7cece1ae32466f | /src/auditwheel/repair.py | 23f172e90d7cfa11cae05d448d3bb8c38c2df9b0 | [
"MIT",
"BSD-3-Clause",
"BSD-2-Clause"
] | permissive | pypa/auditwheel | 55fc242ebc541b7fb24ddd65acafba08aa742344 | ebd4bc0de49394adcad557532eb19fe6598cd886 | refs/heads/main | 2023-09-02T19:51:37.625078 | 2023-07-17T23:27:37 | 2023-07-25T08:17:53 | 49,615,802 | 375 | 136 | NOASSERTION | 2023-09-12T08:58:06 | 2016-01-14T02:05:24 | Python | UTF-8 | Python | false | false | 7,967 | py | repair.py | from __future__ import annotations
import itertools
import logging
import os
import platform
import re
import shutil
import stat
from collections import OrderedDict
from os.path import abspath, basename, dirname, exists, isabs
from os.path import join as pjoin
from subprocess import check_call
from typing import Itera... |
2a80395ae29fc481fb79d3f3f1bb27507fc392e2 | 8f4db78e562ab88ef6eadf991c340829f2c67217 | /doc/examples/type_hints_notemplate.py | 6677dd247b8149992d1485257548adda025b55dd | [
"BSD-3-Clause"
] | permissive | fluiddyn/transonic | 3df606abda7f98c9958a8964ce1c6ab442167574 | 40329915cb277645c0a54286ef9e1d400e29719f | refs/heads/branch/default | 2023-08-30T14:00:12.851327 | 2023-08-24T09:16:38 | 2023-08-24T09:16:38 | 164,679,098 | 107 | 1 | BSD-3-Clause | 2021-12-30T11:58:11 | 2019-01-08T15:34:10 | Python | UTF-8 | Python | false | false | 257 | py | type_hints_notemplate.py | import numpy as np
from transonic import Type, NDim, Array, boost
T = Type(int, np.complex128)
N = NDim(1, 3)
A = Array[T, N]
A1 = Array[np.float32, N + 1]
@boost
def compute(a: A, b: A, c: T, d: A1, e: str):
print(e)
tmp = a + b
return tmp
|
be01c96d76b27836ba00087fb8665c92b7389455 | 3257372291236aac1737b057c9ac6c61da9ccca0 | /tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_582d22a1.py | c1b15f9357dbee6334574295b7cd465df9633786 | [
"CC-BY-4.0",
"BSD-3-Clause",
"MIT"
] | permissive | NeuromatchAcademy/precourse | 230ead0d11ae7b0dba21c8df97695a1796e9797d | b7f2432c6a68a7984ca923ceed8e07d5cfdb77c3 | refs/heads/main | 2023-07-26T11:18:24.493966 | 2023-07-09T14:42:49 | 2023-07-09T14:42:49 | 256,327,558 | 639 | 174 | MIT | 2023-07-09T14:42:50 | 2020-04-16T20:54:03 | Jupyter Notebook | UTF-8 | Python | false | false | 455 | py | W0D5_Tutorial2_Solution_582d22a1.py |
# Transition matrix
transition_matrix = np.array([[ 0.2, 0.6, 0.2], [ .6, 0.3, 0.1], [0.8, 0.2, 0]])
# Initial state, p0
p0 = np.array([0, 1, 0])
# Compute the probabilities 4 transitions later (use np.linalg.matrix_power to raise a matrix a power)
p4 = p0 @ np.linalg.matrix_power(transition_matrix, 4)
# The second... |
a18b3c1110d5717071b0976c928b91adbcc143f7 | e73547787354afd9b717ea57fe8dd0695d161821 | /tools/splat_ext/pm_msg.py | 7fce2326b5011f7ca9326458a7920731cad042fe | [] | no_license | pmret/papermario | 8b514b19653cef8d6145e47499b3636b8c474a37 | 9774b26d93f1045dd2a67e502b6efc9599fb6c31 | refs/heads/main | 2023-08-31T07:09:48.951514 | 2023-08-21T18:07:08 | 2023-08-21T18:07:08 | 287,151,133 | 904 | 139 | null | 2023-09-14T02:44:23 | 2020-08-13T01:22:57 | C | UTF-8 | Python | false | false | 14,244 | py | pm_msg.py | import shutil
from segtypes.n64.segment import N64Segment
from pathlib import Path
from util import options
import re
import pylibyaml
import yaml as yaml_loader
CHARSET = {
0x00: "[NOTE]",
0x01: "!",
0x02: '"',
0x03: "#",
0x04: "$",
0x05: "%",
0x06: "&",
0x07: "'",
0x08: "(",
... |
673fbf3ed565b8c77c12d7ba3e74f8cb4bef5dc1 | 2ae0b8d95d439ccfd55ea7933ad4a2994ad0f6c5 | /tools/pot/openvino/tools/pot/graph/model_utils.py | 2d1b660e9a000f761ee542c015cf9de901c002d1 | [
"Apache-2.0"
] | permissive | openvinotoolkit/openvino | 38ea745a247887a4e14580dbc9fc68005e2149f9 | e4bed7a31c9f00d8afbfcabee3f64f55496ae56a | refs/heads/master | 2023-08-18T03:47:44.572979 | 2023-08-17T21:24:59 | 2023-08-17T21:24:59 | 153,097,643 | 3,953 | 1,492 | Apache-2.0 | 2023-09-14T21:42:24 | 2018-10-15T10:54:40 | C++ | UTF-8 | Python | false | false | 6,221 | py | model_utils.py | # Copyright (C) 2020-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import networkx as nx
from openvino.tools.mo.graph.graph import Node
from openvino.tools.mo.middle.passes.infer import type_infer
from openvino.tools.mo.middle.pattern_match import for_graph_and_each_sub_graph_recursively
from . import ... |
c907c81913ae13806093ee10db66f78d316197ba | fa89ef4a8eb06dc2015d7116637f230b6891eb8d | /refinery/units/__init__.py | 1d11b20c75ae852b0aa0659b33b10e101fcb0285 | [
"BSD-3-Clause"
] | permissive | binref/refinery | f61878d9fddf616fee8edf226df22f6a35238940 | 4c7c3717ae45543b9d7bae60a4af4c00993cf719 | refs/heads/master | 2023-08-17T17:02:34.357138 | 2023-08-14T08:43:05 | 2023-08-14T08:43:05 | 228,019,736 | 439 | 48 | NOASSERTION | 2023-09-11T10:26:02 | 2019-12-14T12:32:06 | Python | UTF-8 | Python | false | false | 71,597 | py | __init__.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
This package contains all refinery units. To write an executable refinery unit,
it is sufficient to write a class that inherits from `refinery.units.Unit` and
implements `refinery.units.Unit.process`. If the operation implemented by this
unit should be reversible, then... |
bb21759b911bdf8d86aa131270b3933c52a1933a | dd0d1e578321adb92a865b302b3180d4c34cc514 | /Hackathon2022/calibrator.py | de6cacbca4ed9ce607a093f9ca0d0be93d4e4aa7 | [] | no_license | LitLeo/TensorRT_Tutorial | a99055160cea88109ad2a5561fabf0fdd02f1c0e | 0abd8ed708ea97ff598923fbfd9cb65c5dee1fff | refs/heads/master | 2023-06-08T00:36:52.974872 | 2023-05-29T07:57:02 | 2023-05-29T07:57:02 | 89,451,146 | 819 | 170 | null | 2017-05-01T11:46:31 | 2017-04-26T07:25:35 | null | UTF-8 | Python | false | false | 4,212 | py | calibrator.py | import tensorrt as trt
import os
import numpy as np
import pycuda.driver as cuda
import pycuda.autoinit
from sys import getsizeof
# import pycuda.driver as cuda
# import pycuda.autoinit
# import numpy as np
# import helpers.tokenization as tokenization
# import helpers.data_processing as dp
class EncoderCalibrator(t... |
69f2292d36545c20e27d0b796317d19e1c055608 | 8f2c55a2530c3e59dab5907c0044c618b88dd09b | /_pydevd_bundle/pydevconsole_code.py | e6ba3002378115f9286357b747a3534dccc8ae48 | [
"Apache-2.0",
"EPL-1.0"
] | permissive | fabioz/PyDev.Debugger | 5a9c6d4c09be85a0e2d9fb93567fd65faf04c81d | 26864816cbfcf002a99913bcc31ebef48042a4ac | refs/heads/main | 2023-08-18T01:08:34.323363 | 2023-04-15T11:15:47 | 2023-04-15T11:15:47 | 21,870,144 | 363 | 126 | Apache-2.0 | 2023-07-30T23:03:31 | 2014-07-15T18:01:12 | Python | UTF-8 | Python | false | false | 19,014 | py | pydevconsole_code.py | """
A copy of the code module in the standard library with some changes to work with
async evaluation.
Utilities needed to emulate Python's interactive interpreter.
"""
# Inspired by similar code by Jeff Epler and Fredrik Lundh.
import sys
import traceback
import inspect
# START --------------------------- from cod... |
412da4ba9807ae3a47955dc6a75f350cf4fb7b0b | 6146e33102797407ede06ce2daa56c28fdfa2812 | /python/GafferSceneUITest/ParameterInspectorTest.py | f1f2cb9c082fe5b5b8eb2552273029b403222ece | [
"BSD-3-Clause"
] | permissive | GafferHQ/gaffer | e1eb78ba8682bfbb7b17586d6e7b47988c3b7d64 | 59cab96598c59b90bee6d3fc1806492a5c03b4f1 | refs/heads/main | 2023-09-01T17:36:45.227956 | 2023-08-30T09:10:56 | 2023-08-30T09:10:56 | 9,043,124 | 707 | 144 | BSD-3-Clause | 2023-09-14T09:05:37 | 2013-03-27T00:04:53 | Python | UTF-8 | Python | false | false | 31,878 | py | ParameterInspectorTest.py | ##########################################################################
#
# Copyright (c) 2021, Cinesite VFX Ltd. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions ... |
3ca3778822636998a0f468e0946aac58ebf80c24 | c80df697c0b66cd58a039c928574926bd6161a36 | /tools/dom/scripts/databasebuilder_test.py | 840e6dd4c6c8ed663530576a2b44362718e0e442 | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-unknown"
] | permissive | dart-lang/sdk | d4e50700dfc54b33c0a7a09fab1aa9623ebc84e5 | b25873f11c68772408f6a4aea5f5c961f31ac9f7 | refs/heads/master | 2023-08-31T11:13:09.400940 | 2023-08-31T09:10:57 | 2023-08-31T09:10:57 | 35,726,310 | 10,701 | 2,079 | BSD-3-Clause | 2023-09-14T10:34:15 | 2015-05-16T14:14:58 | Dart | UTF-8 | Python | false | false | 13,259 | py | databasebuilder_test.py | #!/usr/bin/env python3
# Copyright (c) 2011, the Dart project authors. Please see the AUTHORS file
# for details. All rights reserved. Use of this source code is governed by a
# BSD-style license that can be found in the LICENSE file.
import database
import idlparser
import logging.config
import os
import os.path
imp... |
b39679a0b338659172bffcf3e9147ae358d9bfa8 | b8dad2a51911f71c3f4946b98573a487d9e4c29e | /custom_components/ble_monitor/test/test_mikrotik.py | eee21b368e044986fe5cfcde2bb33f7a4e28a049 | [
"MIT"
] | permissive | custom-components/ble_monitor | 2b9dfc99f740314130fb21a29f070d21ec0d5a37 | f52860aed1b2791e2b4643a25f73157694d8c3a2 | refs/heads/master | 2023-08-23T10:48:16.567468 | 2023-07-25T17:53:34 | 2023-07-25T17:53:34 | 223,993,584 | 1,294 | 215 | MIT | 2023-09-11T06:54:43 | 2019-11-25T16:30:04 | Python | UTF-8 | Python | false | false | 2,854 | py | test_mikrotik.py | """The tests for the Laica Smart Scale ble_parser."""
from ble_monitor.ble_parser import BleParser
class TestLaica:
"""Tests for the Mikrotik parser"""
def test_mikrotik_tg_bt5_in(self):
"""Test Mikrotik TG-BT5-IN parser."""
data_string = "043E2202010300DD7B146E2CDC1615FF4F09010010A90000FDFF01... |
546e21e229bbe621439ec1e4c67cdb1d6f4c199c | 4a5681a81c8720087291bcf6caacef083cb7af16 | /src/python/strelka/tests/test_scan_msi.py | 702f2c5027fca4ec0015b6b8c932f314a9ccba5e | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | target/strelka | 8d0801dbca270c46bd2ea998c0cf72f80e741cee | e42800362535a8fec956689e4de81235231022db | refs/heads/master | 2023-08-18T15:35:01.150070 | 2023-08-15T12:05:07 | 2023-08-15T12:05:07 | 149,654,117 | 739 | 114 | NOASSERTION | 2023-09-12T18:18:25 | 2018-09-20T18:38:12 | Python | UTF-8 | Python | false | false | 1,700 | py | test_scan_msi.py | from pathlib import Path
from unittest import TestCase, mock
from strelka.scanners.scan_msi import ScanMsi as ScanUnderTest
from strelka.tests import run_test_scan
def test_scan_msi(mocker):
"""
Pass: Sample event matches output of scanner.
Failure: Unable to load file or sample event fails to match.
... |
0b1060caacfb96d3b19dbacb54bb7ad0028a0ba4 | e384f5467d8bcfd70845997bcbd68d950e874a61 | /example/python/mesh/mesh_002_torus/torus.py | 5385cfcac897b4b13f99ed6c0d3da07ddb925777 | [] | no_license | Rabbid76/graphics-snippets | ee642f1ed9ceafc6d320e467d3a084d2446d22c2 | fa187afeabb9630bc1d988304fb5787e95a91385 | refs/heads/master | 2023-08-04T04:32:06.884318 | 2023-07-21T09:15:43 | 2023-07-21T09:15:43 | 109,126,544 | 177 | 12 | null | 2023-04-11T20:05:52 | 2017-11-01T12:05:56 | C++ | UTF-8 | Python | false | false | 3,389 | py | torus.py | import os
import sys
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), os.pardir, os.pardir))
os.chdir(os.path.dirname(os.path.abspath(__file__)))
import math
# PyOpenGL import
from OpenGL.GL import *
from OpenGL.GLUT import *
from OpenGL.GLU import *
# MyLibOGL import
from MyLibOGL.math imp... |
9baa2dfba778aa90fe8a0160867a9fde2cc8438e | d4412fbe37540e2c4cbe59ed6503d3661ccb7d9c | /applications/Chat/examples/community/peft/train_peft_prompts.py | 9385e457d852ff042a42439c467bc5b02b7c6e73 | [
"BSD-3-Clause",
"LicenseRef-scancode-warranty-disclaimer",
"Apache-2.0",
"BSD-2-Clause",
"MIT"
] | permissive | hpcaitech/ColossalAI | a082ed08a3807b53c49d1f86835b9808590d9042 | c7b60f75470f067d1342705708810a660eabd684 | refs/heads/main | 2023-09-01T04:13:13.834565 | 2023-08-30T15:07:21 | 2023-08-30T15:07:21 | 422,274,596 | 32,044 | 4,084 | Apache-2.0 | 2023-09-14T15:19:54 | 2021-10-28T16:19:44 | Python | UTF-8 | Python | false | false | 10,275 | py | train_peft_prompts.py | import argparse
import pandas as pd
import torch
import torch.distributed as dist
from coati.dataset import DataCollatorForSupervisedDataset, PromptDataset, SupervisedDataset
from coati.models.bloom import BLOOMRM, BLOOMCritic
from coati.models.gpt import GPTRM, GPTActor, GPTCritic
from coati.models.llama import Llama... |
a956f6af550c7d0460f5acc9d6d60751e3c55cef | 76dee2c21e55c69d62c5413a4629b3f7b4450051 | /qmk_cli/helpers.py | 90767fa13d87f517bd659d44b437b8babf20ee1c | [
"MIT"
] | permissive | qmk/qmk_cli | 865d624b58166b14d0fb3a997a2f38814089a206 | 1c72e1e564239e47634c0f1173add6b73927a2b6 | refs/heads/master | 2023-06-21T22:12:58.143930 | 2023-06-13T18:16:53 | 2023-06-13T18:16:53 | 194,550,935 | 113 | 42 | MIT | 2023-09-12T17:41:03 | 2019-06-30T19:00:33 | Python | UTF-8 | Python | false | false | 1,559 | py | helpers.py | """Useful helper functions.
"""
import os
from functools import lru_cache
from importlib.util import find_spec
from pathlib import Path
from milc import cli
def is_qmk_firmware(qmk_firmware):
"""Returns True if the given Path() is a qmk_firmware clone.
"""
paths = [
qmk_firmware,
qmk_firm... |
1e60f810cb4bdccac387b43d5333e0a2a0f215e3 | 67cc5db4593e2cdd109e589e13fb07074bcff5d9 | /dace/transformation/passes/dead_state_elimination.py | a5ff0ba71a7c58e18b00d54cbb761db3e6e3ff24 | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | spcl/dace | 39849b1488e8f59f880fc0e2572687556c51847d | c5ca99ad37e7ceef6da71026c3c8bb579f64117f | refs/heads/master | 2023-08-31T10:45:09.480018 | 2023-08-30T06:05:10 | 2023-08-30T06:05:10 | 172,703,996 | 402 | 114 | BSD-3-Clause | 2023-09-14T15:18:29 | 2019-02-26T12:05:50 | Python | UTF-8 | Python | false | false | 7,062 | py | dead_state_elimination.py | # Copyright 2019-2022 ETH Zurich and the DaCe authors. All rights reserved.
import collections
import sympy as sp
from typing import Optional, Set, Tuple, Union
from dace import SDFG, InterstateEdge, SDFGState, symbolic, properties
from dace.properties import CodeBlock
from dace.sdfg.graph import Edge
from dace.sdfg.... |
7523cdf7101e19534a18c4e1729bc0b4103f538d | 9472c7d1608e318e46214f231773fbb3f33de0f1 | /kats/models/ensemble/kats_ensemble.py | 2f063131bfff14c0fe6af6db7fb919d9c5812f84 | [
"MIT"
] | permissive | facebookresearch/Kats | 16eee984bc1c482bd709cb5d62c226d4ad85f216 | 00ab9a3db27218b4817eae2e05dc602e437f634f | refs/heads/main | 2023-08-30T23:33:12.654847 | 2023-08-25T16:02:04 | 2023-08-25T16:02:04 | 342,388,745 | 4,514 | 517 | MIT | 2023-09-14T15:28:43 | 2021-02-25T21:51:06 | Python | UTF-8 | Python | false | false | 30,751 | py | kats_ensemble.py | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Kats ensemble model
Implementation of the Kats ensemble model. It starts from seasonality detection, if seasonality detected, it
continu... |
ee0869ff9f07e01e58e70f23b93d2487cb19612d | 10ddfb2d43a8ec5d47ce35dc0b8acf4fd58dea94 | /Python/find-critical-and-pseudo-critical-edges-in-minimum-spanning-tree.py | 341d2f701f5033d357f190d33aae34e0e4f2c98e | [
"MIT"
] | permissive | kamyu104/LeetCode-Solutions | f54822059405ef4df737d2e9898b024f051fd525 | 4dc4e6642dc92f1983c13564cc0fd99917cab358 | refs/heads/master | 2023-09-02T13:48:26.830566 | 2023-08-28T10:11:12 | 2023-08-28T10:11:12 | 152,631,182 | 4,549 | 1,651 | MIT | 2023-05-31T06:10:33 | 2018-10-11T17:38:35 | C++ | UTF-8 | Python | false | false | 1,673 | py | find-critical-and-pseudo-critical-edges-in-minimum-spanning-tree.py | # Time: O(nlogn)
# Space: O(n)
class UnionFind(object):
def __init__(self, n):
self.set = range(n)
self.count = n
def find_set(self, x):
if self.set[x] != x:
self.set[x] = self.find_set(self.set[x]) # path compression.
return self.set[x]
def union_set(self, x... |
44e3af5599164fd723a6fc660b9ec0f410941320 | cd8a9ac708be8f559da1e9cadc1d5ad457226364 | /mods/Paint.py | cfae7a23db04e74699c2f674a87c07c80cecbbed | [
"Unlicense"
] | permissive | Mrmaxmeier/BombSquad-Community-Mod-Manager | 078d0c95f326979989b8a9338c89724a08bcf077 | aeba3f6858335aa08243c02ea29d4d4c807d43cc | refs/heads/master | 2023-01-25T05:38:15.945963 | 2023-01-22T11:20:19 | 2023-01-22T11:20:19 | 28,673,893 | 143 | 155 | Unlicense | 2020-04-10T10:43:37 | 2014-12-31T19:54:47 | Python | UTF-8 | Python | false | false | 6,252 | py | Paint.py | #Canvas
import bs
import random
def bsGetAPIVersion():
return 4
def bsGetGames():
return [Paint]
def bsGetLevels():
return [bs.Level('Paint',
displayName='${GAME}',
gameType=Paint,
settings={},
previewTexName='courtyardP... |
fe621391ac7f38d59256b2fc2003d677dbd116c6 | 3420cceca75758b7d0b54da3a550456234bdbe05 | /scripts/sgdml_datasets_from_model.py | 5fc2a1a77c6bc0f588876d5fea3ab2fe8a3cae46 | [
"MIT"
] | permissive | stefanch/sGDML | 8663c3791bd7521c6cc7e320f493d96240bc07f3 | b8e88de09301a8b3c35b4aee390138dec1b42521 | refs/heads/master | 2023-08-18T23:27:19.739089 | 2023-06-08T12:49:46 | 2023-06-08T12:49:46 | 140,593,875 | 127 | 41 | MIT | 2023-08-31T09:40:09 | 2018-07-11T15:20:30 | Python | UTF-8 | Python | false | false | 3,388 | py | sgdml_datasets_from_model.py | #!/usr/bin/python
# MIT License
#
# Copyright (c) 2018 Stefan Chmiela
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use,... |
33d1d1e4ecb6fa9e1427f35d1fd46bee148ee425 | 6630694f401f6f475dd81bb01ff9368db844ccff | /tests/test_models/test_backbones/test_tinyvit.py | 9747b76b3a465069fe66eb41e0a51dac28f9bd5f | [
"Apache-2.0"
] | permissive | open-mmlab/mmpretrain | 98a4d6b3bb747efc3d50decebf84fc3ffa41076a | d2ccc44a2c8e5d49bb26187aff42f2abc90aee28 | refs/heads/main | 2023-08-30T19:11:24.771498 | 2023-08-23T02:45:18 | 2023-08-23T02:45:18 | 278,415,292 | 652 | 186 | Apache-2.0 | 2023-09-08T08:01:40 | 2020-07-09T16:25:04 | Python | UTF-8 | Python | false | false | 2,284 | py | test_tinyvit.py | # Copyright (c) OpenMMLab. All rights reserved.
# Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmpretrain.models.backbones import TinyViT
def test_assertion():
with pytest.raises(AssertionError):
TinyViT(arch='unknown')
with pytest.raises(AssertionError):
# M... |
61e35536f99a74ffdeabcffe73d0772e33ffa0e1 | 8110781934e5ac078ace2430aa5d8d4c91837562 | /tests/tools/txt2tikztiming.py | 9c6cd3a19e54acf9c65a48f0b6f477d9ff3505fb | [
"ISC",
"MIT",
"LicenseRef-scancode-other-copyleft",
"BSD-2-Clause"
] | permissive | YosysHQ/yosys | 91acb592cb47b8298b115572faa02edfa468c1f0 | 72bec94ef4f0ce8090f22c16cd5163b816e8c698 | refs/heads/master | 2023-09-01T17:46:13.846954 | 2023-09-01T08:15:51 | 2023-09-01T08:15:51 | 7,454,197 | 2,389 | 769 | ISC | 2023-09-13T15:43:31 | 2013-01-05T10:10:48 | C++ | UTF-8 | Python | false | false | 3,144 | py | txt2tikztiming.py | #!/usr/bin/env python3
import argparse
import fileinput
import sys
parser = argparse.ArgumentParser(description='Convert vcd2txt output to tikz-timing line.')
parser.add_argument('filename', metavar='FILE', help='input txt file')
parser.add_argument('signame', metavar='SIG', help='Signal name')
parser.add_argument('-... |
15ce364ac740f2d322f003355b9a5414991cc548 | 5ef6c8d47864f471e26b9902d61f8c687e941f05 | /src/genie/libs/parser/iosxe/tests/ShowLispEthernetMapCachePrefix/cli/equal/golden_output2_expected.py | 224c39f248a399c2d61e5f9a9bb1772bba502025 | [
"Apache-2.0"
] | permissive | CiscoTestAutomation/genieparser | 169c196558f1c1a0f0d10650876096f993224917 | b531eff760b2e44cd69d7a2716db6f866907c239 | refs/heads/master | 2023-09-03T08:56:18.831340 | 2023-08-29T22:32:02 | 2023-08-29T22:32:02 | 131,621,824 | 247 | 409 | Apache-2.0 | 2023-08-29T22:32:04 | 2018-04-30T16:51:50 | Python | UTF-8 | Python | false | false | 2,257 | py | golden_output2_expected.py | expected_output = {
"lisp_id": {
0: {
"instance_id": {
8188: {
"eid_table": "Vlan 210",
"entries": 1,
"eid_prefix": {
"0017.0100.0001/48": {
"uptime": "01:10:28",
... |
81ce63b46a70e72e76b10a5a40b1de97d3a494e9 | 41db6c672362ccafdd28af40ecf7df51ffa90a15 | /guppy/heapy/test/test_gsl.py | b6714add5a5776ba9b4b5ab88a702b747ac76a39 | [
"LicenseRef-scancode-warranty-disclaimer",
"MIT"
] | permissive | zhuyifei1999/guppy3 | e5649a066199a92dc3bf8e77bdd6ffb44e790449 | 1b2db87af36388e43afd6ce5774b869bcc4a9452 | refs/heads/master | 2023-06-24T23:03:52.612921 | 2023-06-17T01:18:06 | 2023-06-17T01:54:06 | 202,611,372 | 371 | 24 | MIT | 2023-06-17T01:54:09 | 2019-08-15T21:05:15 | Python | UTF-8 | Python | false | false | 421 | py | test_gsl.py | # Test the gsl subpackage
# Ideally this should be a top level test.
def test_main(debug=0):
from guppy import Root
gsl = Root().guppy.gsl
gsl.Document._test_main_()
gsl.DottedTree.test_main()
gsl.FileIO.set_test_mode()
gsl.Filer._test_main_()
gsl.Gsml._test_main_()
gsl.Main._test_main... |
830bf432012579c11a4cfadb60a58821706e30e9 | f576f0ea3725d54bd2551883901b25b863fe6688 | /sdk/confidentialledger/azure-confidentialledger/azure/confidentialledger/_patch.py | 399b716b05f79f354afe8ea4498b9243013a53e9 | [
"LicenseRef-scancode-generic-cla",
"MIT",
"LGPL-2.1-or-later"
] | permissive | Azure/azure-sdk-for-python | 02e3838e53a33d8ba27e9bcc22bd84e790e4ca7c | c2ca191e736bb06bfbbbc9493e8325763ba990bb | refs/heads/main | 2023-09-06T09:30:13.135012 | 2023-09-06T01:08:06 | 2023-09-06T01:08:06 | 4,127,088 | 4,046 | 2,755 | MIT | 2023-09-14T21:48:49 | 2012-04-24T16:46:12 | Python | UTF-8 | Python | false | false | 5,013 | py | _patch.py | # ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""Customize generated code here.
Follow our quickstart for examples: https://aka.ms/azsdk/python/dpcodegen/python/customize
"""
import os
from typing import Any, List,... |
d12f2762dbdc7e90d78983c5c0c33ebb77339f75 | d7fd46dfd8aab520c4958fa065367e168b6bfee7 | /benchmarks/parallelization_load_test_test.py | 35d73ad27b0fff729b0dd37e81f314a36dfa2915 | [
"MIT"
] | permissive | facebookresearch/CompilerGym | f04a79fbfdbaf8afd6920ec205db6f1b6003d073 | 9e0c0beb12da1e1ea82ae6ce920713ee28dda4c9 | refs/heads/development | 2023-08-31T09:17:48.967970 | 2023-03-10T19:29:56 | 2023-03-10T19:29:56 | 312,059,069 | 787 | 126 | MIT | 2023-03-10T19:29:58 | 2020-11-11T18:44:35 | Python | UTF-8 | Python | false | false | 1,473 | py | parallelization_load_test_test.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Smoke test for //benchmarks:parallelization_load_test."""
from pathlib import Path
from absl import flags
from benchmarks.parallelization_... |
4bf8228d7babb3c4ef3e48fd7bf2db4ffa3af8a6 | 9efca95a55cb4df52d895d42f1ec10331516a734 | /tools/c7n_azure/c7n_azure/resources/cdn.py | 373c6539df944c4269ca803a51f64d63a7662289 | [
"Apache-2.0"
] | permissive | cloud-custodian/cloud-custodian | 519e602abe00c642786441b64cc40857ef5bc9de | 27563cf4571040f923124e1acb2463f11e372225 | refs/heads/main | 2023-09-04T10:54:55.963703 | 2023-09-01T17:40:17 | 2023-09-01T17:40:17 | 52,837,350 | 3,327 | 1,096 | Apache-2.0 | 2023-09-14T14:03:30 | 2016-03-01T01:11:20 | Python | UTF-8 | Python | false | false | 2,110 | py | cdn.py | # Copyright The Cloud Custodian Authors.
# SPDX-License-Identifier: Apache-2.0
from c7n_azure.provider import resources
from c7n_azure.resources.arm import ArmResourceManager
from c7n.filters import Filter
from c7n.utils import type_schema
@resources.register('cdnprofile')
class CdnProfile(ArmResourceManager):
"... |
69abe278aad4a93518ad7da0664237549f49bf95 | 2b74dd623e2fd02167b74c8d1df29e53a8c95ce9 | /docs/source/examples/client_paged_search_results.py | 8497a2a44aec9842e257044fe4cf9e6acf7836b1 | [
"MIT"
] | permissive | twisted/ldaptor | 19d6e5d38832a804e01444a30e9b24f415b83f7a | 4bfe2897c8b9b510d647fb1c2a5b50c88d492ab1 | refs/heads/master | 2023-08-31T12:29:40.539819 | 2022-02-04T11:09:23 | 2022-02-04T11:09:23 | 21,404,464 | 153 | 57 | MIT | 2022-07-28T18:51:00 | 2014-07-01T22:43:43 | Python | UTF-8 | Python | false | false | 3,769 | py | client_paged_search_results.py | #! /usr/bin/env python
import argparse
import sys
from twisted.internet import defer
from twisted.internet.endpoints import clientFromString, connectProtocol
from twisted.internet.task import react
from ldaptor.protocols.ldap.ldapclient import LDAPClient
from ldaptor.protocols.ldap.ldapsyntax import LDAPEntry
from ld... |
9a2297cd87580f230df294bed552c5c403e14a4b | 1bc67a91d85a7106106ca31307ef9ee93f1d1a20 | /src/py/flwr/client/secure_aggregation/secaggplus_handler.py | d05fd61878a3f303acd106831d5c2fba9a344a29 | [
"Apache-2.0"
] | permissive | adap/flower | 4915d143c674eb675504d585e1e90ed06833812f | 55be690535e5f3feb33c888c3e4a586b7bdbf489 | refs/heads/main | 2023-08-17T01:18:12.168723 | 2023-08-16T17:17:48 | 2023-08-16T17:17:48 | 241,095,326 | 2,999 | 658 | Apache-2.0 | 2023-09-14T15:43:22 | 2020-02-17T11:51:29 | Python | UTF-8 | Python | false | false | 18,910 | py | secaggplus_handler.py | # Copyright 2020 Adap GmbH. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... |
6095df6d4bde6ebdfbd99069d0504eeee6051e35 | 932ea8ba9b39bc2f37347d04d74c618f1bd37535 | /lm_val_fns.py | 8b34d1b47c6fd165f57c62315884f5407eb26c90 | [] | no_license | sgugger/Adam-experiments | 03224552defb1c8ff45e98c1e3eaff53f5535af5 | b1ede770e6403e3d555d80280538def63e69a8da | refs/heads/master | 2020-03-22T04:26:49.166001 | 2018-09-05T17:30:03 | 2018-09-05T17:30:03 | 139,499,459 | 191 | 36 | null | 2018-09-05T17:30:04 | 2018-07-02T22:03:11 | Python | UTF-8 | Python | false | false | 3,763 | py | lm_val_fns.py | from fastai.text import *
class TextReader():
""" Returns a language model iterator that iterates through batches that are of length N(bptt,5)
The first batch returned is always bptt+25; the max possible width. This is done because of they way that pytorch
allocates cuda memory in order to prevent multipl... |
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