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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
85e8608abec5b9d34960fdc8ad8409e40c0bf58a | 2337351b228818e41be3002bd38f68f77c2aa074 | /commands/collection.py | 4582a0846f2e5768a74b4f79ca301ce3e93f578c | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | 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 | 5,758 | py | collection.py | # ----------------------------------------------------------------------
# Collections manipulation
# ----------------------------------------------------------------------
# Copyright (C) 2007-2019 The NOC Project
# See LICENSE for details
# ----------------------------------------------------------------------
# Pyt... |
dc52d88debd70f7adf644f1dd6fe0bff6ea1d3b1 | 8fd935d0bcf03a176dc1c042602e731aab016f43 | /libvis/third_party/flann/test/memusage_clustering.py | 1b02bbd40bd9e1148d4aa8ce9d522a4607f08fd4 | [
"BSD-3-Clause"
] | permissive | ETH3D/badslam | 9ce088d96672ee5385f721928d3e6536778e1574 | c66bdc841658cc04f9feae229c746b32f4284102 | refs/heads/master | 2022-07-08T05:39:08.983448 | 2022-05-11T19:12:04 | 2022-05-11T19:12:04 | 192,239,549 | 691 | 124 | BSD-3-Clause | 2022-04-27T23:52:53 | 2019-06-16T21:43:54 | C++ | UTF-8 | Python | false | false | 1,706 | py | memusage_clustering.py | #!/usr/bin/env python
import sys
from os.path import *
from pyflann import *
from guppy import hpy
from numpy.random import rand
import os, gc
_proc_status = '/proc/%d/status' % os.getpid()
_scale = {'kB': 1024.0, 'mB': 1024.0*1024.0,
'KB': 1024.0, 'MB': 1024.0*1024.0}
def _VmB(VmKey):
'''Private.
... |
e14f775521e70f0ec4ec07dacbeee322ffe4ac10 | bed34365a9dab825fd9f4a4ff1b0863f441266ac | /neutron/pecan_wsgi/hooks/translation.py | 23af2f6647fa663c1b7ede7450c1b28aa919bb87 | [
"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 | 1,628 | py | translation.py | # Copyright (c) 2015 Mirantis, Inc.
# 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 applicabl... |
87466e65ffa35722666976b41d1c359a96c39903 | a6c05f5bea011ddce375c4a31e52e04bcb2ee053 | /dataprep/clean/components/cat_imputation/__init__.py | 65a22358e0a17e7692bca3f9e273b2b9309b7fc7 | [
"MIT"
] | permissive | sfu-db/dataprep | 8db4286f4eccfde9e00b4e4fe4ac7d0fd567d9f1 | 17eda6925b9c37200eae969813ed41583d225989 | refs/heads/develop | 2023-08-18T09:01:04.057248 | 2023-05-30T02:39:47 | 2023-08-03T04:05:43 | 186,311,346 | 1,755 | 215 | MIT | 2023-08-03T04:05:45 | 2019-05-12T22:37:24 | Python | UTF-8 | Python | false | false | 315 | py | __init__.py | """
Initialize dictionary of categorical imputers.
"""
from .constant_imputer import ConstantImputer
from .most_frequent_imputer import MostFrequentImputer
from .drop_imputer import DropImputer
operator_dic = {
"constant": ConstantImputer,
"most_frequent": MostFrequentImputer,
"drop": DropImputer,
}
|
fad673bad3b0e1f923ad445ecb2d02dbf1d4298a | a411a55762de11dc2c9d913ff33d2f1477ac02cf | /lte/gateway/python/magma/subscriberdb/main.py | a1ac6a0e0cc8edbdfaaec1db2f13576db71cc5b0 | [
"BSD-3-Clause"
] | permissive | magma/magma | 0dc48c1513d9968bd05fb7589f302c192b7c0f94 | 0e1d895dfe625681229e181fbc2dbad83e13c5cb | refs/heads/master | 2023-09-04T09:31:56.140395 | 2023-08-29T13:54:49 | 2023-08-29T13:54:49 | 170,803,235 | 1,219 | 525 | NOASSERTION | 2023-09-07T17:45:42 | 2019-02-15T04:46:24 | C++ | UTF-8 | Python | false | false | 6,299 | py | main.py | """
Copyright 2020 The Magma Authors.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree.
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES O... |
386a0814576de95345ebd70edd71b7d1b61d70a4 | 9b2e1c33a8971ecbabac34f6dce66782ac1da0ad | /pydoctor/astbuilder.py | e1fc180044e70ab850c6aabdfba5f95cc684eb6f | [
"LicenseRef-scancode-warranty-disclaimer",
"MIT",
"Apache-2.0",
"LicenseRef-scancode-other-permissive"
] | permissive | twisted/pydoctor | 16cd567617b7026f43bba68930404fb21e976ca6 | 965ed955efde6178cb68f0882a02c34a90204447 | refs/heads/master | 2023-08-31T10:46:17.459825 | 2023-06-13T15:26:45 | 2023-06-13T15:26:45 | 29,112,171 | 149 | 45 | NOASSERTION | 2023-06-15T14:48:25 | 2015-01-12T00:47:42 | Python | UTF-8 | Python | false | false | 51,574 | py | astbuilder.py | """Convert ASTs into L{pydoctor.model.Documentable} instances."""
import ast
import sys
from functools import partial
from inspect import Parameter, Signature
from itertools import chain
from pathlib import Path
from typing import (
Any, Callable, Collection, Dict, Iterable, Iterator, List, Mapping, Optional, Seq... |
4ee4e0e2eaa615564827e687639c29ca4980c727 | d36a429823199f063d3529553e68eb64839534fc | /tests/test_sanity_check.py | ae01bc79cb736cfc3c28337a865237a961c724d1 | [
"Apache-2.0"
] | permissive | trailofbits/deepstate | 9795d9dfa9c19bdd86b674fe88f24012c6f0bd49 | f37a187f453902ca4f7e0911b57ddef8f0193bb4 | refs/heads/master | 2023-09-04T01:30:01.294595 | 2023-08-28T18:59:29 | 2023-08-28T18:59:29 | 108,593,287 | 796 | 103 | Apache-2.0 | 2023-08-28T18:59:31 | 2017-10-27T20:35:54 | Python | UTF-8 | Python | false | false | 1,350 | py | test_sanity_check.py | from __future__ import print_function
import os
import deepstate_base
import logrun
class SanityCheck(deepstate_base.DeepStateTestCase):
def run_deepstate(self, deepstate):
if deepstate != "--fuzz":
return
os.mkdir("OneOf_out")
(r, output) = logrun.logrun(["build/examples/OneOf",
... |
154f1ee4a26f3d62b0c9ccd041c00f7d2a7e233d | 99bdb3251fecee538e0630f15f6574054dfc1468 | /tools/gcc.py | a3e03442007a8e640a7dd99d5b82373cadcc6c50 | [
"Apache-2.0"
] | permissive | RT-Thread/rt-thread | 03a7c52c2aeb1b06a544143b0e803d72f47d1ece | 3602f891211904a27dcbd51e5ba72fefce7326b2 | refs/heads/master | 2023-09-01T04:10:20.295801 | 2023-08-31T16:20:55 | 2023-08-31T16:20:55 | 7,408,108 | 9,599 | 5,805 | Apache-2.0 | 2023-09-14T13:37:26 | 2013-01-02T14:49:21 | C | UTF-8 | Python | false | false | 5,606 | py | gcc.py | #
# File : gcc.py
# This file is part of RT-Thread RTOS
# COPYRIGHT (C) 2006 - 2018, RT-Thread Development Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the ... |
5a818dda2042005a50ec886c5d0c43ec22b5b49a | 6f36df6219f8e50374068bb4b3e1a5387c7a2f34 | /fipy/terms/nonDiffusionTerm.py | 84a892761ffd47376ce0581b07da116625b78018 | [
"NIST-PD"
] | permissive | usnistgov/fipy | 0a3db715fea452ae710eea3999d9cd42dfe76fe7 | fdc17193bc293da7511be9021e6d4766757e1966 | refs/heads/master | 2023-08-31T21:59:36.611448 | 2023-06-27T16:28:58 | 2023-06-27T16:28:58 | 23,316,495 | 444 | 171 | NOASSERTION | 2023-09-06T19:21:19 | 2014-08-25T14:27:58 | Python | UTF-8 | Python | false | false | 5,051 | py | nonDiffusionTerm.py | from __future__ import unicode_literals
__docformat__ = 'restructuredtext'
__all__ = []
from fipy.tools import numerix
from fipy.terms.unaryTerm import _UnaryTerm
from fipy.terms import TermMultiplyError
class _NonDiffusionTerm(_UnaryTerm):
def __neg__(self):
r"""
Negate a `Term`.
>... |
ebcbfd33e5239798444bff6a261a5b6c62a39502 | 9c87c7ddaf5011cc475ec6f4343cc1c7ff290b33 | /wetterdienst/provider/dwd/mosmix/metadata/mosmix_type.py | 3de96b99304a2f653c187b7e4d99d36eaf160fea | [
"MIT"
] | permissive | earthobservations/wetterdienst | c74d80bbb4ce178f3e42936ca7364f9bee66d83b | 448fbd56b67978cf8f4215dedc02a11b89f66b01 | refs/heads/main | 2023-08-08T12:02:45.115090 | 2023-07-30T16:13:41 | 2023-07-30T16:37:09 | 160,953,150 | 283 | 42 | MIT | 2023-09-10T22:36:33 | 2018-12-08T15:39:42 | Python | UTF-8 | Python | false | false | 236 | py | mosmix_type.py | # -*- coding: utf-8 -*-
# Copyright (C) 2018-2021, earthobservations developers.
# Distributed under the MIT License. See LICENSE for more info.
from enum import Enum
class DwdMosmixType(Enum):
SMALL = "SMALL"
LARGE = "LARGE"
|
c318dd4a48f38a73d4d6db4f4553e26f18c5275d | 5ef6c8d47864f471e26b9902d61f8c687e941f05 | /src/genie/libs/parser/ios/tests/ShowIpv6RipDatabase/cli/equal/golden_output_2_expected.py | d44f870e02e41d1e7f55915adf103d5720816939 | [
"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 | 2,064 | py | golden_output_2_expected.py | expected_output = {
"vrf": {
"VRF1": {
"address_family": {
"ipv6": {
"routes": {
"2001:DB8:1:2::/64": {
"index": {
1: {
"metric": 2,
... |
bacc7ba73409f590963b2903538985f617c6aad1 | 6c37d1d2437a08e43b13d621d4a8da4da7135b3a | /yt_dlp/extractor/rts.py | 9f73d1811fa10964698fb411446e53d418929f6c | [
"Unlicense",
"GPL-2.0-or-later",
"MPL-2.0",
"BSD-3-Clause",
"GPL-3.0-or-later",
"LGPL-2.1-only",
"BSD-2-Clause",
"MIT"
] | permissive | yt-dlp/yt-dlp | be040bde10cc40258c879c75ab30215686352824 | d3d81cc98f554d0adb87d24bfd6fabaaa803944d | refs/heads/master | 2023-09-05T21:15:21.050538 | 2023-09-05T20:35:23 | 2023-09-05T20:35:23 | 307,260,205 | 52,742 | 5,376 | Unlicense | 2023-09-14T05:22:08 | 2020-10-26T04:22:55 | Python | UTF-8 | Python | false | false | 9,508 | py | rts.py | import re
from .srgssr import SRGSSRIE
from ..compat import compat_str
from ..utils import (
determine_ext,
int_or_none,
parse_duration,
parse_iso8601,
unescapeHTML,
urljoin,
)
class RTSIE(SRGSSRIE): # XXX: Do not subclass from concrete IE
IE_DESC = 'RTS.ch'
_VALID_URL = r'rts:(?P<rt... |
d77cac4226b72b8e989cbfad5bd2e7d99b2a4147 | 5ef6c8d47864f471e26b9902d61f8c687e941f05 | /src/genie/libs/parser/iosxe/show_l2vpn.py | 647a02291df409e1239b79e86750ce1623bccb2c | [
"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 | 234,790 | py | show_l2vpn.py | ''' show_l2vpn.py
IOSXE parsers for the following show commands:
* show bridge-domain
* show bridge-domain <BD_ID>
* show bridge-domain | count <WORD>
* show ethernet service instance detail
* show ethernet service instance interface <interface> detail
* show l2vpn vfi
* show l2vpn vfi nam... |
a9bf0cb0e77eaa02e1fcfd2ada85faf812eebba2 | f2034c76a11ce6296131d2bab89a5dae7d59edfe | /python/friesian/example/dlrm/dlrm_preprocessing.py | bdbfd88eb8b6716057f8a004f3b432c9ec76b48d | [
"Apache-2.0"
] | permissive | intel-analytics/BigDL | e22cd917eecc7340bda3df4356acba0623a62ef6 | 4ffa012a426e0d16ed13b707b03d8787ddca6aa4 | refs/heads/main | 2023-08-22T06:31:37.923091 | 2023-08-22T02:58:42 | 2023-08-22T02:58:42 | 66,823,715 | 4,913 | 1,327 | Apache-2.0 | 2023-09-14T10:41:50 | 2016-08-29T07:59:50 | Jupyter Notebook | UTF-8 | Python | false | false | 6,696 | py | dlrm_preprocessing.py | #
# Copyright 2016 The BigDL 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 applicable law or agreed to in ... |
6965bb340f1d411c719db72fccc48edbfebfd031 | c5ddaaa915829e946762f83a610a3ef43ad1f190 | /src/pip/_vendor/rich/_null_file.py | b659673ef3c1d5431e6699898ae4d073b4be764b | [
"MIT",
"LicenseRef-scancode-python-cwi",
"LicenseRef-scancode-other-copyleft",
"Python-2.0",
"BSD-3-Clause",
"0BSD",
"GPL-1.0-or-later",
"LicenseRef-scancode-free-unknown"
] | permissive | pypa/pip | 4cebef8b5e8f69921a4cbd37d5b2021fd3200a16 | 0778c1c153da7da457b56df55fb77cbba08dfb0c | refs/heads/main | 2023-08-15T01:51:24.039937 | 2023-08-14T06:22:21 | 2023-08-14T06:22:21 | 1,446,467 | 8,612 | 3,321 | MIT | 2023-09-12T07:08:11 | 2011-03-06T14:30:46 | Python | UTF-8 | Python | false | false | 1,387 | py | _null_file.py | from types import TracebackType
from typing import IO, Iterable, Iterator, List, Optional, Type
class NullFile(IO[str]):
def close(self) -> None:
pass
def isatty(self) -> bool:
return False
def read(self, __n: int = 1) -> str:
return ""
def readable(self) -> bool:
re... |
36edd5eb1915ad75507fe2bb51d46cf59c4b0821 | c0bd88792742f77b46a3b121e418d1190b003daa | /src/HyperDenseNet/startTesting.py | 93ea90132b16a2ab6ec235a9bc3d7b5d70ce8ad8 | [
"MIT"
] | permissive | josedolz/HyperDenseNet | c6cd95d939d64c9aad75cfe2f24413f12d21087c | c41678ff9289c9f7792fd4b29162bdb347f51f6b | refs/heads/master | 2021-04-29T19:47:13.026792 | 2019-11-20T18:00:40 | 2019-11-20T18:00:40 | 121,584,258 | 161 | 45 | null | null | null | null | UTF-8 | Python | false | false | 12,728 | py | startTesting.py | """
Copyright (c) 2017, Jose Dolz .All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice,
this list of conditions and the f... |
010a6ad53d4002b825bb8a9224373fb8ae31ae36 | 3afe7348e830a0c5139fb7cf393736e18b59ab4a | /src/clusterfuzz/_internal/tests/core/bot/tasks/update_task_test.py | 4488cf8cbaba1864bea505f3cd042c1b55cb83d0 | [
"Apache-2.0"
] | permissive | google/clusterfuzz | 00845899e081dbbb89b70a75ce0b7eba3da73b02 | 6501a839b27a264500244f32bace8bee4d5cb9a2 | refs/heads/master | 2023-09-03T17:34:17.821599 | 2023-09-01T16:11:51 | 2023-09-01T16:11:51 | 168,060,021 | 5,420 | 639 | Apache-2.0 | 2023-09-13T16:40:54 | 2019-01-29T00:19:40 | Python | UTF-8 | Python | false | false | 6,426 | py | update_task_test.py | # Copyright 2019 Google LLC
#
# 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 agreed to in writing, ... |
61eb233202765de4f2eb7dbea190563fec313dbe | 9f84d91a8ae3df53b07fe3267992fba00a99ac9e | /test/nn/models/test_mask_label.py | 51c637a88c1d756bc13eae34c55d31f80d3c664f | [
"MIT"
] | permissive | pyg-team/pytorch_geometric | ebea601eae228f3905465b5c2349d3fb3bb5cb26 | a52af694b8ce6a80811e20966fe6d08a3e7511fe | refs/heads/master | 2023-08-31T04:13:40.943308 | 2023-08-30T12:48:42 | 2023-08-30T12:48:42 | 106,024,057 | 6,775 | 1,563 | MIT | 2023-09-14T17:10:18 | 2017-10-06T16:03:03 | Python | UTF-8 | Python | false | false | 720 | py | test_mask_label.py | import torch
from torch_geometric.nn import MaskLabel
def test_mask_label():
model = MaskLabel(2, 10)
assert str(model) == 'MaskLabel()'
x = torch.rand(4, 10)
y = torch.tensor([1, 0, 1, 0])
mask = torch.tensor([False, False, True, True])
out = model(x, y, mask)
assert out.size() == (4, ... |
c4efcf3c804fe89d47028cb681ff69f23c5c8989 | 69dffe378940f9be0214f319b7374e064b94d855 | /tests/scripts/test_3dmaskave.py | 57469aa429eaedeb437b804eff6bc19569b3c2b3 | [] | no_license | afni/afni | d7aba56d6224f1bde8c1fcb06fe23026912e9d6d | 17f180ec63f90a3460551fd2e474f632e4cf49c0 | refs/heads/master | 2023-09-02T03:34:16.532719 | 2023-09-01T20:51:01 | 2023-09-01T20:51:01 | 35,209,231 | 143 | 122 | null | 2023-09-13T20:34:43 | 2015-05-07T08:50:23 | C | UTF-8 | Python | false | false | 686 | py | test_3dmaskave.py | import pytest
import sys
from afni_test_utils import tools
# Define Data
data_paths = {"mask": "mini_data/mask_3mm.nii.gz", "epi": "mini_data/aligned.nii.gz"}
@pytest.mark.skipif(
sys.platform == "darwin",
reason=("3dmaskave removes all voxels on MacOS for some reason."),
)
def test_3dmaskave_basic(data):
... |
2ccf2281d7af8cb21b0d54256b06f2b59bed6997 | f324cd2cbebd303fd34cd2e26fe1a51c44202d55 | /test/unit/vint/ast/plugin/scope_plugin/test_identifier_classifier.py | 3e78e679a1d37510df1236551a8d5b4ad0e484fe | [
"MIT"
] | permissive | Vimjas/vint | d71579154d177daf458ec68423a66055f90fa308 | e12091830f0ae7311066b9d1417951182fb32eb5 | refs/heads/master | 2023-09-02T07:31:31.299270 | 2022-10-24T13:06:33 | 2022-10-24T13:06:33 | 20,857,415 | 191 | 11 | MIT | 2022-10-24T13:10:00 | 2014-06-15T14:38:32 | Python | UTF-8 | Python | false | false | 17,083 | py | test_identifier_classifier.py | import unittest
from pathlib import Path
from pprint import pprint
from vint.ast.parsing import Parser
from vint.ast.plugin.scope_plugin.redir_assignment_parser import traverse
from vint.ast.node_type import NodeType
from vint.ast.plugin.scope_plugin.identifier_classifier import (
IdentifierClassifier,
)
from vint... |
1933c4fc7163fabc5b73f3783d42fbe9ca6f4454 | aa4a3ccd4e5572396ec737c527c3b4da71a7ec30 | /pyne/dbgen/decay.py | dbc77a9311e34d80388c7dd5f685154525028002 | [
"MIT",
"BSD-2-Clause"
] | permissive | pyne/pyne | 6c4d178eedfdeb464966e99a3d27d794a04d1add | 8a9ef7291ca5a23ec4da8794cd19cbac93f849ef | refs/heads/develop | 2023-08-31T16:00:04.363507 | 2023-08-26T14:25:38 | 2023-08-26T14:25:38 | 1,684,953 | 218 | 168 | NOASSERTION | 2023-09-12T08:21:55 | 2011-04-30T15:04:07 | C++ | UTF-8 | Python | false | false | 16,032 | py | decay.py | """This module provides a way to grab and store raw data for radioactive decay."""
from __future__ import print_function, division
import os
import glob
import shutil
from zipfile import ZipFile
from pyne.utils import QA_warn
try:
import urllib.request as urllib
except ImportError:
import urllib2 as urllib
i... |
6037c1613eb716f1a6af23d54d1bb73e2bd13575 | 75f81c32befeccc59b958cf849c777359df68d73 | /tests/python/integration/load_and_run_relayvm_model.py | c03f9396c0c4fec5f9dd672c4c441fc47c2bc192 | [
"Apache-2.0"
] | permissive | neo-ai/neo-ai-dlr | 4e20b40235e1be2d44f55b13cec3c15fc42dba2a | 457aabf677ed368aa1077093fce4517381e04038 | refs/heads/main | 2023-06-07T17:21:14.600599 | 2022-08-26T22:03:40 | 2022-08-26T22:03:40 | 161,846,808 | 490 | 125 | Apache-2.0 | 2023-05-18T05:38:28 | 2018-12-14T22:25:31 | C++ | UTF-8 | Python | false | false | 1,064 | py | load_and_run_relayvm_model.py | from dlr import DLRModel
import numpy as np
import cv2
from pathlib import Path
MODEL_PATH = Path("../../../build/ssd_mobilenet_v1").resolve()
DATA_PATH = Path("../../../build/street_small.npy").resolve()
def test_ssd_mobilenet_v2_model():
model = DLRModel(MODEL_PATH.as_posix())
data = np.load(DATA_PATH)
assert... |
6e444dd71233957c9fc6cb09c5541e3cc17fbe22 | 811f4cdb25e26f3b27640aaa2e2bca93e660d2d7 | /src/anomalib/models/reverse_distillation/torch_model.py | 5ada84573ef06060c4566f80ec04e32635e41e12 | [
"MIT",
"Apache-2.0",
"CC-BY-SA-4.0",
"CC-BY-SA-3.0",
"CC-BY-NC-SA-4.0",
"Python-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 | 2,925 | py | torch_model.py | """PyTorch model for Reverse Distillation."""
# Copyright (C) 2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
from torch import Tensor, nn
from anomalib.models.components import FeatureExtractor
from anomalib.models.reverse_distillation.anomaly_map import AnomalyMapGe... |
dc52789a631d6618dfbad6f15c699d609dc14dfd | 507103d591ed6993203db92fd8dffc992e8bcd5c | /k2/python/tests/arc_sort_test.py | 11b7ec7850d3a71544c897f74362b97ddf7d66d5 | [
"Apache-2.0"
] | permissive | k2-fsa/k2 | 6e661bd505f06583af779f4249bbb8ea87a0d662 | 2b2ac14b326d61d79d04e53fbd69b1ff6d630411 | refs/heads/master | 2023-09-03T11:57:13.505432 | 2023-08-23T21:58:26 | 2023-08-23T21:58:26 | 256,463,281 | 851 | 192 | Apache-2.0 | 2023-08-26T06:51:21 | 2020-04-17T09:44:05 | Cuda | UTF-8 | Python | false | false | 4,328 | py | arc_sort_test.py | #!/usr/bin/env python3
#
# Copyright 2020 Mobvoi Inc. (authors: Fangjun Kuang)
#
# See ../../../LICENSE for clarification regarding multiple 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... |
074f73df9d8b328dc16aa7dc518428c80f0ae2b1 | cb012762176a51f2670a8e5a4e8e1fa70bf80a7f | /segmentation_models_pytorch/base/model.py | 806f27409ee0571966f1b3e72288b6a99f44fdbe | [
"MIT"
] | permissive | qubvel/segmentation_models.pytorch | 6db68aa4210b318985cddfb3b116d886a5cc5bc5 | 6db76a1106426ac5b55f39fba68168f3bccae7f8 | refs/heads/master | 2023-09-04T22:09:19.890290 | 2023-09-04T08:15:36 | 2023-09-04T08:15:36 | 173,333,035 | 8,150 | 1,662 | MIT | 2023-09-14T08:14:52 | 2019-03-01T16:21:21 | Python | UTF-8 | Python | false | false | 1,839 | py | model.py | import torch
from . import initialization as init
class SegmentationModel(torch.nn.Module):
def initialize(self):
init.initialize_decoder(self.decoder)
init.initialize_head(self.segmentation_head)
if self.classification_head is not None:
init.initialize_head(self.classification... |
2200c766f922bcc283f482de429beea0190f8fa8 | 605020b5a89b762e0a991c84968fdaaadbe36f48 | /pipeline/pipeline.py | 73f0d268dabcbd17188bd3f060a2e08c65d446ee | [] | no_license | jackyko1991/vnet-tensorflow | 118071bb62a892ed5fc19c9af1d8d54f16ad761e | ddc04d7c25474d89620cace2a989ac6ba9cae1a2 | refs/heads/master | 2023-07-10T16:47:36.654053 | 2023-06-27T17:14:26 | 2023-06-27T17:14:26 | 121,372,654 | 157 | 72 | null | 2019-10-25T03:30:16 | 2018-02-13T11:05:02 | Python | UTF-8 | Python | false | false | 1,426 | py | pipeline.py | import NiftiDataset2D,NiftiDataset3D
import yaml
def main():
# load the yaml
with open("pipeline2D.yaml") as f:
pipeline_ = yaml.load(f)
# start preprocessing
print(pipeline_["preprocess"])
train_transform_3d = []
train_transform_2d = []
test_transform_3d = []
test_transform_2d = []
if pipeline_["prepro... |
75ac3431787e112d92b72d9ae4db12e5d22d119f | df4361db61d10a10c46ed5f18973d89e4efda82c | /armi/utils/tests/test_parsing.py | 5327f5a9fe6842a0a5effc5abe8343754abb0f1d | [
"Apache-2.0",
"GPL-1.0-or-later",
"BSD-3-Clause",
"LicenseRef-scancode-free-unknown"
] | permissive | terrapower/armi | 5524741c5e80781e136ea3422aed0db8398f76ae | 360791847227df3f3a337a996ef561e00f846a09 | refs/heads/main | 2023-09-04T05:16:29.080518 | 2023-09-01T16:10:29 | 2023-09-01T16:10:29 | 218,863,590 | 204 | 75 | Apache-2.0 | 2023-09-14T20:42:24 | 2019-10-31T21:18:34 | Python | UTF-8 | Python | false | false | 3,367 | py | test_parsing.py | # Copyright 2019 TerraPower, LLC
#
# 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 agreed to in writi... |
40df193a8f66b6b64f2aa45b9ccfeee2c7c5666d | 7a7e2201642a730460dd4d3b0441df3710898787 | /PythonWidget/plot/plot3D_cube.py | 3ccff9a20783b6eedfab556a5c893f277adbd598 | [
"BSD-3-Clause"
] | permissive | xiaodongxiexie/python-widget | 87118cbd75927f2f181fc5c9ff1a0fbd1c12af27 | 58fd929ee57884a73a1d586c7b891c82b9727f93 | refs/heads/master | 2023-04-02T03:13:51.929149 | 2023-03-23T02:17:21 | 2023-03-23T02:17:21 | 89,505,063 | 188 | 55 | null | null | null | null | UTF-8 | Python | false | false | 1,665 | py | plot3D_cube.py | # -*- coding: utf-8 -*-
# @Author: xiaodong
# @Date: just hide
# @Last Modified by: xiaodong
# @Last Modified time: just hide
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
# %matplotlib inline
plt.rcParams['axes.unicode_minus'] = False
plt.rcParams['font.sans-ser... |
07cf6288b37af7a124b6914ce49ee8b64e6f4ab8 | 9f4d24ddea8483814c030745dd35093a19269a8f | /CSIKit/util/errors.py | b2cb1edc86893b9b9db022461b211744c2030772 | [
"MIT"
] | permissive | Gi-z/CSIKit | 471ea76c72ceca155f07504f4949cc3fb33d7251 | 16df52ba5472645a8b4b6ad72ac9d30cbe6ba4f0 | refs/heads/master | 2023-05-23T04:52:50.146235 | 2022-12-21T18:00:45 | 2022-12-21T18:00:45 | 246,860,724 | 135 | 36 | MIT | 2021-12-06T13:01:07 | 2020-03-12T14:52:28 | Python | UTF-8 | Python | false | false | 843 | py | errors.py | import os
def print_length_error(length: int, data_length: int, i: int, filename: str):
"""
Prints an error to highlight a difference between the frame's stated data size and the actual size.
This usually stems from early file termination.
Parameters:
length {int} -- Stated len... |
ff1a66e31580958aa9f26babc8fd8095e445f73d | 9b72a05897dc63c1cf507023ccf3dcfd5f40748c | /mimesis/builtins/pl.py | 9bd4f4a350a5add3cb4d21083e4a63e2b2156767 | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | permissive | lk-geimfari/mimesis | 991a0a6a45010fe7dd57682ddc347573ca2325df | 653bb5a90a91ea8dfbdb08684c66deb1b23bcda9 | refs/heads/master | 2023-08-21T02:27:12.837063 | 2023-08-20T15:57:13 | 2023-08-20T15:57:13 | 67,834,502 | 3,144 | 370 | MIT | 2023-09-14T10:37:03 | 2016-09-09T21:41:22 | Python | UTF-8 | Python | false | false | 3,216 | py | pl.py | """Specific data provider for Poland (pl)."""
import typing as t
from mimesis.enums import Gender
from mimesis.locales import Locale
from mimesis.providers import BaseDataProvider, Datetime
from mimesis.types import DateTime, MissingSeed, Seed
__all__ = ["PolandSpecProvider"]
class PolandSpecProvider(BaseDataProvi... |
33ed06ad3f49d434ec2e92e1d1c49bc054c7fdf2 | 7d689ca6fa3fcea87bc636719fcc5594730057d7 | /mollie/api/objects/issuer.py | 09b737f171e508464b31382f54c281b43de3c668 | [
"BSD-3-Clause",
"BSD-2-Clause"
] | permissive | mollie/mollie-api-python | fbbb3c05a7867b122c26debc05a5a91c16169748 | e0d553aee4b52c3c7aabba2ff17ccc67e760635a | refs/heads/master | 2023-08-27T19:35:19.487382 | 2023-07-28T13:20:43 | 2023-07-28T13:20:43 | 19,978,672 | 112 | 79 | BSD-2-Clause | 2023-08-31T15:35:55 | 2014-05-20T11:42:28 | Python | UTF-8 | Python | false | false | 645 | py | issuer.py | from .base import ObjectBase
class Issuer(ObjectBase):
@property
def resource(self):
return self._get_property("resource")
@property
def id(self):
return self._get_property("id")
@property
def name(self):
return self._get_property("name")
@property
def image_... |
8de99df0c8d894fefb76dd82042111d46e9b2f11 | f576f0ea3725d54bd2551883901b25b863fe6688 | /sdk/ml/azure-ai-ml/azure/ai/ml/_schema/_feature_store_entity/feature_store_entity_schema.py | 51505430a71b88a2e240fca15d31be1ca37d1d77 | [
"LicenseRef-scancode-generic-cla",
"MIT",
"LGPL-2.1-or-later",
"LicenseRef-scancode-python-cwi",
"PSF-2.0",
"LGPL-2.0-or-later",
"GPL-3.0-or-later",
"GPL-1.0-or-later",
"LicenseRef-scancode-warranty-disclaimer",
"LGPL-2.1-only",
"Python-2.0",
"MPL-2.0",
"LicenseRef-scancode-other-copyleft",
... | 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 | 1,147 | py | feature_store_entity_schema.py | # ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from marshmallow import fields, post_dump, validate
from azure.ai.ml._schema import NestedField
from azure.ai.ml._schema.core.schema impo... |
ea86c5711309476c17594591ccc09ea76c22e909 | b8bbdfc593b6d816e67a344f720f90ec05236778 | /airflow/providers/amazon/aws/utils/sqs.py | ea0c7afea10eb81071c4f15bb6618df52fff829d | [
"Apache-2.0",
"BSD-3-Clause",
"MIT"
] | permissive | apache/airflow | ed78db0a8bab7e096990e143926e52f518e288ab | 1b122c15030e99cef9d4ff26d3781a7a9d6949bc | refs/heads/main | 2023-09-01T08:37:34.556097 | 2023-09-01T06:49:05 | 2023-09-01T06:49:05 | 33,884,891 | 22,756 | 11,558 | Apache-2.0 | 2023-09-14T20:12:36 | 2015-04-13T18:04:58 | Python | UTF-8 | Python | false | false | 3,300 | py | sqs.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 u... |
a338f06a1d07ad032ebcbd3738603a59e6a6bfec | eb9f655206c43c12b497c667ba56a0d358b6bc3a | /python/testData/debug/test_large_numpy_arrays.py | 14923031aa01243a24f56e9424b171ab52fb79b9 | [
"Apache-2.0"
] | permissive | JetBrains/intellij-community | 2ed226e200ecc17c037dcddd4a006de56cd43941 | 05dbd4575d01a213f3f4d69aa4968473f2536142 | refs/heads/master | 2023-09-03T17:06:37.560889 | 2023-09-03T11:51:00 | 2023-09-03T12:12:27 | 2,489,216 | 16,288 | 6,635 | Apache-2.0 | 2023-09-12T07:41:58 | 2011-09-30T13:33:05 | null | UTF-8 | Python | false | false | 137 | py | test_large_numpy_arrays.py | import numpy as np
import pandas as pd
nd = np.arange(1000)
s = pd.Series(name='foo', data=nd)
df = pd.DataFrame({'bar': nd})
df.size |
a8db1258369058caa0a91b50224b1c7f003c9caf | ea2e46fa06a3720c6a6708760f39746c3d5a3f70 | /ImageGoNord/GoNord_test.py | 81f8ebdf1cde9017a23283949b1f7ab603bbdeb2 | [
"MIT"
] | permissive | Schrodinger-Hat/ImageGoNord-pip | 6a3e3c61844ebe8ab8a55f4073d10f111a6b76f7 | f010982ee9ab07fc40fa48af970bd7262ac11028 | refs/heads/master | 2023-08-18T02:17:20.261417 | 2023-07-26T18:57:11 | 2023-07-26T18:57:11 | 287,203,592 | 134 | 18 | MIT | 2023-07-18T10:09:21 | 2020-08-13T06:50:29 | Python | UTF-8 | Python | false | false | 768 | py | GoNord_test.py | import pytest
from PIL import Image
from ImageGoNord import GoNord
@pytest.fixture
def image():
return Image.open("images/test-profile.jpg")
@pytest.fixture
def go_nord():
return GoNord()
@pytest.mark.skip() # this is the "old" interface
def test_resize_image_with_w_and_h(image, go_nord: GoNord):
re... |
85dc06ef680dad1b9a0201a4d6a97abf726b142b | e75c5412063078c9ea3e7c71a8dc7a2026083a34 | /astropy/wcs/tests/test_utils.py | a945aade43b76f89aa8eab0a665c76c621e0afaa | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | astropy/astropy | d6636f24acdf2b18fc3e413ca0c4b1162a63dd41 | 53188c39a23c33b72df5850ec59e31886f84e29d | refs/heads/main | 2023-08-27T18:16:44.061375 | 2023-08-27T16:07:35 | 2023-08-27T16:07:35 | 2,081,289 | 3,922 | 1,935 | BSD-3-Clause | 2023-09-14T09:23:26 | 2011-07-21T01:33:49 | Python | UTF-8 | Python | false | false | 47,923 | py | test_utils.py | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from contextlib import nullcontext
import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_almost_equal, assert_equal
from packaging.version import Version
from astropy import units as u
from astropy.coordinates import ITRS, Ea... |
ba3d74b2cc885ec785bfda9aceb8f434d5bb3f6c | 0588960cdda458d1f3d631921af96eb017591c59 | /paperboy/storage/sqla/models/job.py | 7da43a4161a359978126fd412a099a756b73c84c | [
"Apache-2.0"
] | permissive | timkpaine/paperboy | c9383ca9d1582637847a211c37f72822b2ba423b | b27bfdbb4ed27dea597ff1d6346eb831542ae81f | refs/heads/main | 2022-02-11T03:02:45.425983 | 2022-02-02T18:57:50 | 2022-02-02T18:57:50 | 152,772,708 | 245 | 29 | Apache-2.0 | 2022-02-09T18:41:39 | 2018-10-12T15:37:49 | Python | UTF-8 | Python | false | false | 2,203 | py | job.py | from sqlalchemy import Column, Integer, String, DateTime
from sqlalchemy import ForeignKey
from sqlalchemy.orm import relationship
from paperboy.config import JobConfig, JobMetadataConfig
from .base import Base
class JobSQL(Base):
__tablename__ = 'jobs'
id = Column(Integer, primary_key=True)
name = Column... |
f7fc800f8864dad76a4ba1af8e6840900786b279 | 96dcea595e7c16cec07b3f649afd65f3660a0bad | /script/scaffold/templates/config_flow_helper/tests/test_config_flow.py | d21c66797d86fd6b153fcd9bba7f66a5ed836099 | [
"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 | 3,817 | py | test_config_flow.py | """Test the NEW_NAME config flow."""
from unittest.mock import AsyncMock
import pytest
from homeassistant import config_entries
from homeassistant.components.NEW_DOMAIN.const import DOMAIN
from homeassistant.core import HomeAssistant
from homeassistant.data_entry_flow import FlowResultType
from tests.common import M... |
08a716beb8e0b94dd272f8e0e41a2e4a6c160c89 | 3afe81b3edbf3d5d09506c88b3ea43014efdf868 | /kglab/esp.py | 7cb0d926e723c73b73d6e9eea1bd203611399082 | [
"MIT"
] | permissive | DerwenAI/kglab | 4ccf674012fee64b1d86e69c457b5e3372b85c05 | 1992561f57a4669fa11ef843feb65388a3030ea3 | refs/heads/main | 2023-08-22T19:20:58.947587 | 2023-08-09T00:35:40 | 2023-08-09T00:35:40 | 307,214,458 | 517 | 62 | MIT | 2023-08-31T15:31:27 | 2020-10-25T23:34:03 | Jupyter Notebook | UTF-8 | Python | false | false | 10,703 | py | esp.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# see license https://github.com/DerwenAI/kglab#license-and-copyright
# mypy: ignore-errors
# pylint: disable-all
"""
WIP: Evolunationary Shape Prediction
"""
from collections import deque
import random
import typing
import pandas as pd # type: ignore
import rdflib # t... |
431bf7f88571d996770712cc285defd801ed83db | c19bcbc98555ef06276f9f0dcffc9ac35942a7c4 | /tests/test_vmstat_s.py | 01ed7a5695166c07629eda024fb707fe331bf332 | [
"MIT"
] | permissive | kellyjonbrazil/jc | 4e81a5421cd20be5965baf375f4a5671c2ef0410 | 4cd721be8595db52b620cc26cd455d95bf56b85b | refs/heads/master | 2023-08-30T09:53:18.284296 | 2023-07-30T17:08:39 | 2023-07-30T17:08:39 | 215,404,927 | 6,278 | 185 | MIT | 2023-09-08T14:52:22 | 2019-10-15T22:04:52 | Python | UTF-8 | Python | false | false | 6,019 | py | test_vmstat_s.py | import os
import sys
import time
import json
import unittest
from jc.exceptions import ParseError
import jc.parsers.vmstat_s
THIS_DIR = os.path.dirname(os.path.abspath(__file__))
# Set the timezone on POSIX systems. Need to manually set for Windows tests
if not sys.platform.startswith('win32'):
os.environ['TZ'] =... |
57e4ffd5f6c131f3a8fb82b92d99de7080901e7a | b74320ad439e37dfa48cd8db38dab3b7a20a36ff | /scripts/convert_unidiffuser_to_diffusers.py | 891d289d8c7601f106724f1196d5f0f0eb3f2650 | [
"Apache-2.0"
] | permissive | huggingface/diffusers | c82beba1ec5f0aba01b6744040a5accc41ec2493 | 5eeedd9e3336882d598091e191559f67433b6427 | refs/heads/main | 2023-08-29T01:22:52.237910 | 2023-08-28T18:16:27 | 2023-08-28T18:16:27 | 498,011,141 | 17,308 | 3,158 | Apache-2.0 | 2023-09-14T20:57:44 | 2022-05-30T16:04:02 | Python | UTF-8 | Python | false | false | 30,953 | py | convert_unidiffuser_to_diffusers.py | # Convert the original UniDiffuser checkpoints into diffusers equivalents.
import argparse
from argparse import Namespace
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
GPT2Tokenizer... |
5f384f22204840acf2f95117faa121c89b303ed1 | 21e56f433a800c6f3c1e7b79b04f0a27ce788a51 | /tests/unit/api/test_tasks.py | 551957d7e299d0094ad412830aee0bfce0959f73 | [
"BSD-3-Clause"
] | permissive | mher/flower | 01932e724d945650401c6482856f727f46d1d254 | 066cf497f60e1fb89b439504bd5e4e6cfec8f044 | refs/heads/master | 2023-09-03T10:00:03.702448 | 2023-07-04T14:13:43 | 2023-07-04T14:13:43 | 4,946,406 | 5,213 | 1,126 | NOASSERTION | 2023-09-13T01:31:53 | 2012-07-08T13:35:09 | Python | UTF-8 | Python | false | false | 8,174 | py | test_tasks.py | import json
import time
from collections import OrderedDict
from datetime import datetime, timedelta
from unittest.mock import Mock, PropertyMock, patch
import celery.states as states
from celery.events import Event
from celery.result import AsyncResult
from flower.events import EventsState
from tests.unit.utils impo... |
14b3ded6dcc2e46a2ae9368d47714fbe98cbaa03 | be80e20fdab949482cdd9b6148f314813b655014 | /stingray/tests/test_crossspectrum.py | 2bc0770ccf03f0c5395cdac50152e12b03dc0115 | [
"MIT"
] | permissive | StingraySoftware/stingray | 5ea2669bba46824504baf055422869cd5383b60a | f661d4513da3d24091e63337e34de9a787b7a5a1 | refs/heads/main | 2023-08-19T02:08:20.991302 | 2023-08-18T08:30:56 | 2023-08-18T08:30:56 | 43,449,839 | 171 | 148 | MIT | 2023-09-06T10:12:22 | 2015-09-30T18:04:33 | Python | UTF-8 | Python | false | false | 53,556 | py | test_crossspectrum.py | import os
import numpy as np
import pytest
import warnings
import matplotlib.pyplot as plt
import scipy.special
from astropy.io import fits
from stingray import Lightcurve
from stingray import Crossspectrum, AveragedCrossspectrum
from stingray.crossspectrum import cospectra_pvalue
from stingray.crossspectrum import nor... |
e2f882f2e338ae933f44ade3896080429808abe9 | d3f1534c62ab955d883a098d610db41c65aaacfc | /utils/dict_restore.py | 1af607e3ae6789e71b52775acacf72b999b3eba0 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | xingyul/meteornet | 6e313e36df17ec867952eda283abb7817c78c4c7 | 5e7dd5f79b764a4af7a789ed84bff4b6dfcdb121 | refs/heads/master | 2021-11-30T21:28:36.834156 | 2021-11-19T02:28:24 | 2021-11-19T02:28:24 | 218,515,132 | 148 | 21 | MIT | 2020-11-05T09:13:56 | 2019-10-30T11:47:11 | Python | UTF-8 | Python | false | false | 6,060 | py | dict_restore.py |
import os
import numpy as np
import tensorflow as tf
import six
class SessionUpdate(object):
""" Update the variables in a session """
def __init__(self, sess, vars_to_update, logger):
"""
Args:
sess (tf.Session): a session object
vars_to_update: a collection of va... |
952b72f3bb301b09039bab2f71fae16fb14cb494 | ffdc77394c5b5532b243cf3c33bd584cbdc65cb7 | /tests/st/ops/gpu/test_sparse_add_ops.py | 1598ce4306947b557029d5f782ee83ac95598fb9 | [
"Apache-2.0",
"LicenseRef-scancode-proprietary-license",
"MPL-1.0",
"OpenSSL",
"LGPL-3.0-only",
"LicenseRef-scancode-warranty-disclaimer",
"BSD-3-Clause-Open-MPI",
"MIT",
"MPL-2.0-no-copyleft-exception",
"NTP",
"BSD-3-Clause",
"GPL-1.0-or-later",
"0BSD",
"MPL-2.0",
"LicenseRef-scancode-f... | permissive | mindspore-ai/mindspore | ca7d5bb51a3451c2705ff2e583a740589d80393b | 54acb15d435533c815ee1bd9f6dc0b56b4d4cf83 | refs/heads/master | 2023-07-29T09:17:11.051569 | 2023-07-17T13:14:15 | 2023-07-17T13:14:15 | 239,714,835 | 4,178 | 768 | Apache-2.0 | 2023-07-26T22:31:11 | 2020-02-11T08:43:48 | C++ | UTF-8 | Python | false | false | 10,532 | py | test_sparse_add_ops.py | # Copyright 2022 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 agreed to... |
ec9b84984275991b40fc21320127991779e46eb8 | ee303308d85c28467a7dfe5300951d49a3866fb3 | /unit/test_uvm_report_handler.py | 3af460ec11ded3fb416b2359e5030d2935dd57ce | [
"Apache-2.0"
] | permissive | tpoikela/uvm-python | 3a66a43100a2903f91e0bb73b84c07c1003f7763 | fc5f955701b2b56c1fddac195c70cb3ebb9139fe | refs/heads/master | 2023-05-02T05:08:00.792132 | 2023-04-24T16:07:14 | 2023-04-24T16:07:14 | 232,838,902 | 199 | 43 | Apache-2.0 | 2023-04-24T16:10:44 | 2020-01-09T15:22:26 | Python | UTF-8 | Python | false | false | 923 | py | test_uvm_report_handler.py |
import unittest
from uvm.base.uvm_report_handler import UVMReportHandler
from uvm.base.uvm_object_globals import *
class TestUVMReportHandler(unittest.TestCase):
def test_handler(self):
rh = UVMReportHandler("handler")
fhandle = rh.get_severity_id_file(UVM_ERROR, "")
self.assertEqual(f... |
7f886350385772ad383d09b89db47062ab32e62c | e664468f64af8732e837a2b506c04123274b96d3 | /flare/descriptors/env.py | 2c6cb2e1d6fda98f56100e153147707a62a7fb81 | [
"MIT"
] | permissive | mir-group/flare | 94f7ad2c125870956b94193cc45ebbb055165917 | 700f2c86376a5f439483b55b7b0b2129fd0ca48e | refs/heads/master | 2023-08-08T20:33:24.480259 | 2023-05-26T02:06:09 | 2023-05-26T02:06:09 | 146,818,125 | 247 | 75 | MIT | 2023-07-20T11:31:37 | 2018-08-30T23:40:56 | Python | UTF-8 | Python | false | false | 14,106 | py | env.py | """The :class:`AtomicEnvironment` object stores information about the local
environment of an atom. :class:`AtomicEnvironment` objects are inputs to the
2-, 3-, and 2+3-body kernels."""
from typing import List, Union
from copy import deepcopy
from math import ceil
from json import dumps, loads
import pickle as pickle... |
6e27949a0220e01d400459b297c27d0047ef8412 | 49b25a6c420048e630884a3446eb0fe2eb7a0cfc | /tests/commands/heap.py | 983d4a0eae6d78cebfff593dde2fc59ea5988070 | [
"MIT",
"Python-2.0"
] | permissive | hugsy/gef | dc7a90e33bd2bcc2fada6a81dc32534e1b07461b | 6a6e2a05ca8e08ac6845dce655a432fc4e029486 | refs/heads/main | 2023-09-02T08:18:02.038475 | 2023-08-26T17:00:13 | 2023-08-26T17:00:13 | 32,955,140 | 6,152 | 920 | MIT | 2023-09-12T14:02:46 | 2015-03-26T22:25:45 | Python | UTF-8 | Python | false | false | 7,559 | py | heap.py | """
Heap commands test module
"""
from tests.utils import (ARCH, GefUnitTestGeneric, _target, findlines,
gdb_run_cmd, gdb_run_silent_cmd, gdb_start_silent_cmd,
is_32b, is_64b)
class HeapCommand(GefUnitTestGeneric):
"""Generic class for command testing, that defin... |
685e1ab9abdc7610cc857a82e64856b7490c4cd5 | 14c3c7e470e3c8048e1fa7d3466c0008577400e6 | /Chapter05/concurrent_futures_pooling.py | 10747230ed27a87f79202a94bea90fae43a73501 | [
"MIT"
] | permissive | PacktPublishing/Python-Parallel-Programming-Cookbook-Second-Edition | 7053d7c2ac6f4c53f642e5ee23335c1102398831 | a10f0b2ba69995a6a8697e68ae0b53a20f4c04c7 | refs/heads/master | 2022-10-30T19:55:23.337571 | 2022-10-28T10:13:28 | 2022-10-28T10:13:28 | 166,166,539 | 105 | 60 | MIT | 2021-04-23T04:11:29 | 2019-01-17T05:35:24 | Python | UTF-8 | Python | false | false | 1,075 | py | concurrent_futures_pooling.py | import concurrent.futures
import time
number_list = list(range(1, 11))
def count(number):
for i in range(0,10000000):
i += 1
return i*number
def evaluate(item):
result_item = count(item)
print('Item %s, result %s' % (item, result_item))
if __name__ == '__main__':
# Sequential Execution... |
0cad66a2ac91b5811531ced426a39d85ee014634 | 2a1b8a671aceda6bc446f8ce26400aa84fa444a6 | /Packs/CommonScripts/Scripts/DisplayHTMLWithImages/DisplayHTMLWithImages_test.py | f084cd2b1ab1680b26c8494a0d08030490c8edc9 | [
"MIT"
] | permissive | demisto/content | 6d4722d46f0ff0beea2748e9f7de585bf91a78b4 | 890def5a0e0ae8d6eaa538148249ddbc851dbb6b | refs/heads/master | 2023-09-04T00:02:25.618032 | 2023-09-03T21:56:22 | 2023-09-03T21:56:22 | 60,525,392 | 1,023 | 1,921 | MIT | 2023-09-14T20:55:24 | 2016-06-06T12:17:02 | Python | UTF-8 | Python | false | false | 5,169 | py | DisplayHTMLWithImages_test.py | import demistomock as demisto
import pytest
EMAIL_HTML = """
<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body><div dir="ltr">image 1:
<div><div><img src="cid:ii_kgjzy6yh0" alt="image_1.png" width="275" height="184"><br></div></div><div>image 2:
</div><div><div><img src="cid:i... |
4046f887bfd6b97e19ec14d0728f55f7984d80ba | fce81b804cae23f525a5ad4370b684bf0dc531a5 | /numpy/lib/tests/test_mixins.py | 632058763b7d9e826122af6834bb72d4bd970434 | [
"Zlib",
"BSD-3-Clause",
"MIT",
"Apache-2.0"
] | permissive | numpy/numpy | ba2abcc1d2d46affbb6aabe5aed6407b4b57507e | dc2ff125493777a1084044e6cd6857a42ee323d4 | refs/heads/main | 2023-09-05T10:10:52.767363 | 2023-09-04T18:03:29 | 2023-09-04T18:03:29 | 908,607 | 25,725 | 11,968 | BSD-3-Clause | 2023-09-14T21:26:09 | 2010-09-13T23:02:39 | Python | UTF-8 | Python | false | false | 7,030 | py | test_mixins.py | import numbers
import operator
import numpy as np
from numpy.testing import assert_, assert_equal, assert_raises
# NOTE: This class should be kept as an exact copy of the example from the
# docstring for NDArrayOperatorsMixin.
class ArrayLike(np.lib.mixins.NDArrayOperatorsMixin):
def __init__(self, value):
... |
7c69f1c776d84ef3cb424b4669ac082d92cda853 | 9472c7d1608e318e46214f231773fbb3f33de0f1 | /kats/tests/models/test_arima_model.py | da094953328e54d397a3bc06ce5de6c273e3eba2 | [
"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 | 10,947 | py | test_arima_model.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.
import unittest
from typing import Dict, Optional, Union
from unittest import TestCase
import pandas as pd
from kats.compat.pandas import a... |
436d94a513f1caf2fb143f0a7532460212452efa | eed45ab29d3b36162db3db4b0bda54ed85804f88 | /asq/test/test_join.py | c4ea9948e4ab2d12b3ec2eceadb2acb9a5166852 | [
"MIT"
] | permissive | sixty-north/asq | af46678b10d6ffea972d7abc8def1443675a0505 | facfd55d6b661bbf0d56d2d9cebd9eb3e1febbea | refs/heads/master | 2022-04-30T14:11:25.637946 | 2022-04-23T16:08:22 | 2022-04-23T16:08:22 | 39,247,948 | 183 | 17 | MIT | 2020-02-28T16:53:58 | 2015-07-17T10:04:23 | Python | UTF-8 | Python | false | false | 2,590 | py | test_join.py | import unittest
from asq.queryables import Queryable
from asq.test.test_queryable import infinite, TracingGenerator
__author__ = "Sixty North"
class TestJoin(unittest.TestCase):
def test_join(self):
a = [1, 2, 3, 4, 5]
b = [4, 5, 6, 7, 8]
c = Queryable(a).join(b).to_list()
d = [(4... |
fb2ecd4a81906c185f08d216b4f00731144e4c9d | 6e5b2eb855460fce67fd0d15180caddb2252a256 | /sahi/models/base.py | d1cd227d0fa1652b07792392f3801df04128c517 | [
"MIT"
] | permissive | obss/sahi | 60d526f1e94559737b756fa741a51231580300b7 | b115f08f0c0aeeb151adf24e47c222d3483cc931 | refs/heads/main | 2023-09-01T01:09:21.158024 | 2023-08-26T22:58:04 | 2023-08-26T22:58:04 | 334,412,452 | 2,987 | 477 | MIT | 2023-09-04T10:54:07 | 2021-01-30T12:54:53 | Python | UTF-8 | Python | false | false | 6,977 | py | base.py | # OBSS SAHI Tool
# Code written by Fatih C Akyon, 2020.
from typing import Any, Dict, List, Optional, Tuple, Union
import numpy as np
from sahi.utils.import_utils import is_available
from sahi.utils.torch import select_device as select_torch_device
class DetectionModel:
def __init__(
self,
mode... |
67dd35a8de7bc7d9068d9d9d2037b54704e62bdf | 47efb342be85bdd66426b8f393ed48e20d4beaff | /extern/blockly/i18n/status.py | 64fa98da1d5d6ee40c3efc45a2cffce91f9e76f4 | [
"Apache-2.0",
"MIT"
] | permissive | entrylabs/entryjs | c5e78bfe4c12bc5bbf49cccacf120f81c2ea37d2 | c1ac4da3340bab1b645a8744e65405f13544e06b | refs/heads/develop | 2023-08-07T18:39:43.241849 | 2023-07-28T06:12:20 | 2023-07-28T06:12:20 | 37,836,814 | 132 | 902 | Apache-2.0 | 2023-09-13T09:32:54 | 2015-06-22T04:05:07 | JavaScript | UTF-8 | Python | false | false | 8,965 | py | status.py | #!/usr/bin/python
# Gives the translation status of the specified apps and languages.
#
# Copyright 2013 Google Inc.
# https://blockly.googlecode.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 Li... |
23b9a9273711c9348339a3f6396a0f650eaa66d6 | a3d6556180e74af7b555f8d47d3fea55b94bcbda | /tools/memory/partition_allocator/plot_bucket_stats.py | 669bd6258f19d9e67e3811d7cc1b526274e1a02a | [
"BSD-3-Clause"
] | permissive | chromium/chromium | aaa9eda10115b50b0616d2f1aed5ef35d1d779d6 | a401d6cf4f7bf0e2d2e964c512ebb923c3d8832c | refs/heads/main | 2023-08-24T00:35:12.585945 | 2023-08-23T22:01:11 | 2023-08-23T22:01:11 | 120,360,765 | 17,408 | 7,102 | BSD-3-Clause | 2023-09-10T23:44:27 | 2018-02-05T20:55:32 | null | UTF-8 | Python | false | false | 3,427 | py | plot_bucket_stats.py | #!/usr/bin/env python3
# Copyright 2022 The Chromium Authors
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Plots the distribution of allocated and unallocated slots in SlotSpans.
To run this:
1. Build pa_tcache_inspect at a "close-enough" revision to the Chrom... |
566217efd925e2dc63df18e0a2d8522ff3bcf963 | 8aefc80adcb06731c5b997c4dae2b80b3bf387b4 | /tests/test_services.py | 2ddeb4bc385b334b8488df7f4cbca27b6fecaa20 | [
"Apache-2.0"
] | permissive | airbus-cert/regrippy | d97ebc5e7e701288d0d1f23fc4a22612759f5ee3 | 5a4babedb31fc1ac4699a435265da18cc60dca30 | refs/heads/master | 2022-03-21T02:34:22.300016 | 2022-03-09T08:45:37 | 2022-03-09T08:45:37 | 180,773,594 | 170 | 22 | Apache-2.0 | 2023-08-29T11:02:06 | 2019-04-11T10:59:31 | Python | UTF-8 | Python | false | false | 1,185 | py | test_services.py | import pytest
from Registry.Registry import RegSZ
from regrippy.plugins.services import Plugin as plugin
from .reg_mock import LoggerMock, RegistryKeyMock, RegistryMock, RegistryValueMock
@pytest.fixture
def mock_reg():
key = RegistryKeyMock.build("ControlSet002\\Services")
reg = RegistryMock("SYSTEM", "sys... |
306ec2dcf05b2137856ee86178c6f4e2ed5da51a | d8c44d26e0d0eb9ebba69fa5c0c44f47dcf32065 | /elasticsearch/docker/tests/toolbelt.py | f54390a0a024cc0981e7d2a6f8d185ee0b8f6e52 | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] | permissive | opendistro-for-elasticsearch/opendistro-build | d23b65bf76ca236eeb41b893347a7b5a2e7fa1ca | 2d329d4ffc9275951d3c7069ebba3ad7a4767da8 | refs/heads/main | 2023-08-29T12:21:58.835225 | 2022-03-18T23:42:13 | 2022-03-18T23:42:13 | 172,155,554 | 377 | 232 | Apache-2.0 | 2022-03-29T22:03:02 | 2019-02-23T01:07:13 | Shell | UTF-8 | Python | false | false | 3,060 | py | toolbelt.py | # Copyright 2019 Amazon.com, Inc. or its affiliates. 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.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... |
4ca7811aab3bf6cc42434bea4a67fbe184708deb | f3806d9fb54773908cd9704121a543b114470aca | /angr/procedures/win32/gethostbyname.py | ef8b5c5ab0c58b88a434a5aefc7edcaccd5ef77d | [
"BSD-2-Clause"
] | permissive | angr/angr | 8ae95fceca51b0a001de56477d984dd01193ac1d | 37e8ca1c3308ec601ad1d7c6bc8081ff38a7cffd | refs/heads/master | 2023-08-17T03:15:21.007865 | 2023-08-15T18:44:57 | 2023-08-15T18:44:57 | 40,328,394 | 7,184 | 1,306 | BSD-2-Clause | 2023-09-14T20:14:23 | 2015-08-06T21:46:55 | Python | UTF-8 | Python | false | false | 318 | py | gethostbyname.py | import angr
import logging
l = logging.getLogger("angr.procedures.win32.gethostbyname")
class gethostbyname(angr.SimProcedure):
def run(self, _): # pylint:disable=arguments-differ
ret_expr = self.state.solver.BVS("gethostbyname_retval", 32, key=("api", "gethostbyname_retval"))
return ret_expr
|
cea7bbf81b0211731307aa2e6035aa31d932a515 | d4239425234eacb647c4cc4f2f4c8537b618fca0 | /onadata/libs/utils/viewer_tools.py | 1249ee8bab91a52461582969450726fc3e8b773e | [
"BSD-2-Clause",
"BSD-3-Clause"
] | permissive | onaio/onadata | 58762d6a606870bd13d43fd27fdaa61720a745c2 | e5bdec91cb47179172b515bbcb91701262ff3377 | refs/heads/main | 2023-09-04T03:12:43.388668 | 2023-08-24T07:27:08 | 2023-08-24T07:27:08 | 12,888,897 | 177 | 149 | NOASSERTION | 2023-09-13T14:19:05 | 2013-09-17T07:25:01 | Python | UTF-8 | Python | false | false | 10,006 | py | viewer_tools.py | # -*- coding: utf-8 -*-
"""Utility functions for data views."""
import json
import os
import sys
import zipfile
from json.decoder import JSONDecodeError
from typing import Dict
from defusedxml import minidom
from django.conf import settings
from django.core.files.storage import get_storage_class
from django.utils.tran... |
a725b6fd46ee2c0847dba5bf98a711d8b067c3e4 | 03666e5f961946fc1a0ac67781ac1425562ef0d7 | /src/test/tests/queries/scf.py | e64430b74c181ec389b209086ccfc1489bedd519 | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | visit-dav/visit | e9f81b4d4b9b9930a0db9d5282cd1bcabf465e2e | 601ae46e0bef2e18425b482a755d03490ade0493 | refs/heads/develop | 2023-09-06T08:19:38.397058 | 2023-09-05T21:29:32 | 2023-09-05T21:29:32 | 165,565,988 | 335 | 120 | BSD-3-Clause | 2023-09-14T00:53:37 | 2019-01-13T23:27:26 | C | UTF-8 | Python | false | false | 4,142 | py | scf.py | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: scf.py
# Tests: queries - spherical compactness factor
#
# Defect ID: VisIt00006385
#
# Programmer: Hank Childs
# Date: July 14, 2005
#
# Modifications:
# Mark C. Miller, Fri Nov 1... |
6673ae92d65f785e8a2a8266ad1272c9e70b59ac | 8ca19f1a31070738b376c0370c4bebf6b7efcb43 | /tests/reports/test_office365_reports.py | 01caf67d158d375210be42658abb47c60558da1d | [
"MIT"
] | permissive | vgrem/Office365-REST-Python-Client | 2ef153d737c6ed5445ba1e446aeaec39c4ef4ed3 | cbd245d1af8d69e013c469cfc2a9851f51c91417 | refs/heads/master | 2023-09-02T14:20:40.109462 | 2023-08-31T19:14:05 | 2023-08-31T19:14:05 | 51,305,798 | 1,006 | 326 | MIT | 2023-08-28T05:38:02 | 2016-02-08T15:24:51 | Python | UTF-8 | Python | false | false | 441 | py | test_office365_reports.py | from tests.graph_case import GraphTestCase
class TestOffice365Reports(GraphTestCase):
@classmethod
def setUpClass(cls):
super(TestOffice365Reports, cls).setUpClass()
@classmethod
def tearDownClass(cls):
pass
def test1_get_office365_activations_user_counts(self):
result =... |
87b50a54574a7fdc6a28d47cfb367c34216ee077 | db12b990924703cd74748d8585cd9c11fafa6746 | /scripts/grabGLRMrunLogs.py | 7f73120dfc802a6519ddbdfea703fe0d7abc3f02 | [
"Apache-2.0"
] | permissive | h2oai/h2o-3 | 919019a8f297eec676011a9cfd2cc2d97891ce14 | d817ab90c8c47f6787604a0b9639b66234158228 | refs/heads/master | 2023-08-17T18:50:17.732191 | 2023-08-17T16:44:42 | 2023-08-17T16:44:42 | 17,371,412 | 6,872 | 2,345 | Apache-2.0 | 2023-09-14T18:05:40 | 2014-03-03T16:08:07 | Jupyter Notebook | UTF-8 | Python | false | false | 4,852 | py | grabGLRMrunLogs.py | #!/usr/bin/python
import sys
import os
import json
import pickle
import copy
import subprocess
"""
This script is written to grab the logs from our GLRM runs and saved them onto our local machines for
later analysis. For me, this is how I will call this script and the input arguments I will use:
python grabGLRMru... |
7127ccddaaee28075b9dc6002904e5dd0897d37c | 5da5473ff3026165a47f98744bac82903cf008e0 | /packages/google-cloud-artifact-registry/google/cloud/artifactregistry_v1/types/yum_artifact.py | 701327289f204d6aad1895d81eb582d834be7734 | [
"Apache-2.0"
] | permissive | googleapis/google-cloud-python | ed61a5f03a476ab6053870f4da7bc5534e25558b | 93c4e63408c65129422f65217325f4e7d41f7edf | refs/heads/main | 2023-09-04T09:09:07.852632 | 2023-08-31T22:49:26 | 2023-08-31T22:49:26 | 16,316,451 | 2,792 | 917 | Apache-2.0 | 2023-09-14T21:45:18 | 2014-01-28T15:51:47 | Python | UTF-8 | Python | false | false | 5,666 | py | yum_artifact.py | # -*- coding: utf-8 -*-
# Copyright 2023 Google LLC
#
# 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... |
e2565df5644adf2b6cdca1533a89dbbc741080d3 | bdf0d4d3aac186af3ad0ad6ac9f380f9a0573fba | /demo/runners/support/utils.py | 0056686fbfd1996c309b2b96040f5c4cd617154f | [
"LicenseRef-scancode-dco-1.1",
"Apache-2.0"
] | permissive | hyperledger/aries-cloudagent-python | f25d961e0717a4d703bf43df3e4b4bc8ec07b908 | 39cac36d8937ce84a9307ce100aaefb8bc05ec04 | refs/heads/main | 2023-09-01T15:37:05.353674 | 2023-08-31T14:13:06 | 2023-08-31T14:13:06 | 193,556,007 | 370 | 530 | Apache-2.0 | 2023-09-14T17:59:34 | 2019-06-24T18:12:14 | Python | UTF-8 | Python | false | false | 7,151 | py | utils.py | import functools
import json
import os
import sys
from timeit import default_timer
import prompt_toolkit
from prompt_toolkit.application import run_in_terminal
from prompt_toolkit.eventloop.defaults import use_asyncio_event_loop
from prompt_toolkit.patch_stdout import patch_stdout
from prompt_toolkit.shortcuts import ... |
f9b98e9a78eaebd06130afe0ffa6b63515776b25 | aae3c6fccb2296e4da5bb10310f5dd6baba8b7de | /activitysim/workflows/steps/error_handler.py | 97e85bb6181c789e565c45020c458e55d586c6c1 | [
"BSD-3-Clause"
] | permissive | ActivitySim/activitysim | 3d938e616452be76db1bb0c8a1212e12b9216823 | a8e755f96d0e32633a6d3657c4878e3b6a37e59a | refs/heads/main | 2023-08-08T16:02:06.275693 | 2023-05-09T13:08:23 | 2023-05-09T13:08:23 | 20,981,950 | 118 | 89 | BSD-3-Clause | 2023-07-25T14:07:16 | 2014-06-18T23:57:40 | Jupyter Notebook | UTF-8 | Python | false | false | 352 | py | error_handler.py | import logging
def error_logging(func):
def wrapper(*args, **kwargs):
try:
return func(*args, **kwargs)
except Exception as err:
logging.error(f"===== ERROR IN {func.__name__} =====")
logging.exception(f"{err}")
logging.error(f"===== / =====")
... |
fefb766f8c764c3687b21fa0627047723d88cd58 | 09d0d2143026b731ad3c906581291a3c0a83e849 | /contrib/cr3bp_DhruvJ/cr3bp_lib_calc.py | e7612101798fede0b12ddd9a8245abd5e97cef49 | [
"MIT",
"LicenseRef-scancode-proprietary-license"
] | permissive | poliastro/poliastro | 5fbfeddd44ba5af234452d42f56bbd47c90a8bc4 | 55e96432b27301c5dffb4ef6b4f383d970c6e9c0 | refs/heads/main | 2023-08-21T17:20:58.631529 | 2023-05-07T07:54:00 | 2023-05-07T07:54:00 | 11,178,845 | 814 | 357 | MIT | 2023-08-29T10:03:59 | 2013-07-04T14:14:45 | Python | UTF-8 | Python | false | false | 2,337 | py | cr3bp_lib_calc.py | # -*- coding: utf-8 -*-
"""Created on 7 Jan 22 12:24:03
Updated 20 Mar 2022.
@author: Dhruv Jain, Multi-Body Dynaminitial_guesss Research Group, MSAAE Purdue University
dhruvj9922@gmail.com
Objectve: Calculate the position [nd] of 5 libration points for a system in CR3BP
"""
import numpy as np
d... |
f216b953022c6ae0e88833b08714a4bce758c8b7 | c641636e184c0ec1dcc7b851bad678c898cdd05d | /legacy/examples/deepwalk/link_predict.py | d0f72bc501aa6169c80a459eb0822220e14968b7 | [
"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 | 8,221 | py | link_predict.py | # Copyright (c) 2019 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... |
5c0b21c6341ae28a376ea292b525731dcf4c59a0 | 028a4f23765c317bfee9a8c0434aec615428b431 | /rust/experiments/src/validation/generate_test_images.py | 25108d7e69b1e7fd8f01ba2d07f13769a38678f6 | [
"Apache-2.0",
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | mc2-project/delphi | 38e26b21bb21022f2b5d008f24fffe875b50c148 | 92bc0071fa11570df6b048ae0f6937ced249bb5a | refs/heads/master | 2022-12-17T18:07:06.230403 | 2022-11-26T23:06:42 | 2022-11-26T23:06:42 | 234,144,768 | 116 | 32 | Apache-2.0 | 2022-07-05T19:27:55 | 2020-01-15T18:23:13 | Rust | UTF-8 | Python | false | false | 4,618 | py | generate_test_images.py | """
Evaluate Keras model accuracy on generated test images
"""
import argparse
import numpy as np
import os
import random
import sys
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import tensorflow as tf
from importlib.util import spec_from_file_location, module_from_spec
from tensorflow.keras.datasets import cifar10, cifar... |
633c1a91c8afdb922338ce82b80eddbf6f91594a | 3ebbaf23f44312aa84f8eafd68db2650e9f4d741 | /bot/updater.py | 790606955f5f0edbc83a7fea02f1cb970264abf9 | [] | no_license | zeroone2numeral2/qbittorrent-bot | 3f1e2bb91ff8e24002048338930c7e236211f457 | 81b97ec9b6ac024d629861b8bd638504d6975537 | refs/heads/master | 2022-12-20T20:04:36.936274 | 2022-07-04T12:55:07 | 2022-07-04T12:55:07 | 209,236,432 | 158 | 53 | null | 2022-12-13T09:14:31 | 2019-09-18T06:38:59 | Python | UTF-8 | Python | false | false | 629 | py | updater.py | # noinspection PyPackageRequirements
from telegram.ext import Defaults
from .bot import CustomUpdater
from config import config
REQUEST_KWARGS = {}
if config.proxy.url:
REQUEST_KWARGS['proxy_url'] = config.proxy.url
if config.proxy.username:
REQUEST_KWARGS['urllib3_proxy_kwargs'] = {
'use... |
af9ab9712edf55231d0fe8a98e767cc3019fea88 | ffdc77394c5b5532b243cf3c33bd584cbdc65cb7 | /tests/st/ops/gpu/test_atan_grad_grad_op.py | 2f77e0fcac012333bf33ee77c1260049605c0da2 | [
"Apache-2.0",
"LicenseRef-scancode-proprietary-license",
"MPL-1.0",
"OpenSSL",
"LGPL-3.0-only",
"LicenseRef-scancode-warranty-disclaimer",
"BSD-3-Clause-Open-MPI",
"MIT",
"MPL-2.0-no-copyleft-exception",
"NTP",
"BSD-3-Clause",
"GPL-1.0-or-later",
"0BSD",
"MPL-2.0",
"LicenseRef-scancode-f... | permissive | mindspore-ai/mindspore | ca7d5bb51a3451c2705ff2e583a740589d80393b | 54acb15d435533c815ee1bd9f6dc0b56b4d4cf83 | refs/heads/master | 2023-07-29T09:17:11.051569 | 2023-07-17T13:14:15 | 2023-07-17T13:14:15 | 239,714,835 | 4,178 | 768 | Apache-2.0 | 2023-07-26T22:31:11 | 2020-02-11T08:43:48 | C++ | UTF-8 | Python | false | false | 2,883 | py | test_atan_grad_grad_op.py | # Copyright 2020 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 agreed to... |
919a35aa98ac4be525b97e6dce74933c7fc3f5f3 | eb9f655206c43c12b497c667ba56a0d358b6bc3a | /python/testData/refactoring/rename/renamePackageUpdatesFirstFormImports/before/a.py | da03f5cf64ee459331054f81550f36350ec81a87 | [
"Apache-2.0"
] | permissive | JetBrains/intellij-community | 2ed226e200ecc17c037dcddd4a006de56cd43941 | 05dbd4575d01a213f3f4d69aa4968473f2536142 | refs/heads/master | 2023-09-03T17:06:37.560889 | 2023-09-03T11:51:00 | 2023-09-03T12:12:27 | 2,489,216 | 16,288 | 6,635 | Apache-2.0 | 2023-09-12T07:41:58 | 2011-09-30T13:33:05 | null | UTF-8 | Python | false | false | 40 | py | a.py | import f<caret>oo.m1
print(foo.m1.f())
|
bdb9d8fea0968a95311292794ec034ec6019906b | 8c39ba92cc71ff78242477d3256f6ee3daa872c7 | /conans/test/integration/remote/test_remote_file_credentials.py | 78e0a4ba1dc922aa794548eb3c0fec2e6bfb3d45 | [
"MIT"
] | permissive | conan-io/conan | eb4427e534a0edbb1fb06c753d5d9587faaef93c | bac455d1329b6744cdc41747354a727c9233179f | refs/heads/release/2.0 | 2023-09-03T18:51:54.345761 | 2023-09-03T17:30:43 | 2023-09-03T17:30:43 | 47,190,624 | 7,754 | 1,182 | MIT | 2023-09-14T15:16:09 | 2015-12-01T13:17:02 | Python | UTF-8 | Python | false | false | 1,546 | py | test_remote_file_credentials.py | import json
import os
import pytest
from conans.test.assets.genconanfile import GenConanfile
from conans.test.utils.tools import TestClient, TestServer
from conans.util.files import save
@pytest.fixture()
def client():
test_server = TestServer()
c = TestClient(servers={"default": test_server})
c.save({"... |
1df42021bf2165b4eebe840b5c7e837fe6438e7a | 4875f7018eda5c3b2546c885cbc07e761bd21575 | /onmt/modules/Conv2Conv.py | 5a369eeb5496051845e7d027c1b55e33aa13907d | [
"MIT"
] | permissive | stanfordnlp/cocoa | 916fb787e08db894e7f0c19590e369b600c20372 | 52fb2d47a28537c7892f146a8972a75bcde4812c | refs/heads/master | 2023-08-11T00:45:49.702771 | 2022-04-19T16:34:29 | 2022-04-19T16:34:29 | 65,188,526 | 167 | 67 | MIT | 2022-10-04T17:30:31 | 2016-08-08T08:52:02 | Python | UTF-8 | Python | false | false | 7,820 | py | Conv2Conv.py | """
Implementation of "Convolutional Sequence to Sequence Learning"
"""
import torch
import torch.nn as nn
import torch.nn.init as init
import torch.nn.functional as F
from torch.autograd import Variable
import onmt.modules
from onmt.modules.WeightNorm import WeightNormConv2d
from onmt.Models import EncoderBase
from o... |
0dbf19f0d78d892d930ecf3b3ebaacfd0baf6449 | 97535f64b6e19a0458d54f9bd8611fa0d3566c2b | /tensorflow_addons/layers/tests/normalizations_test.py | 98442ca7f90a4df4cb8e4fe7ef16f386407d1d45 | [
"LicenseRef-scancode-warranty-disclaimer",
"Apache-2.0"
] | permissive | tensorflow/addons | 41880ec2a0196a9a7e2420d72ed24d3f72fdb9cf | 5dd5f65827c37e9b9b616b79ed93da856b57ffe5 | refs/heads/master | 2023-08-24T15:04:44.189313 | 2023-07-12T13:46:52 | 2023-07-12T13:46:52 | 159,249,114 | 1,779 | 761 | Apache-2.0 | 2023-09-12T20:39:49 | 2018-11-26T23:57:17 | Python | UTF-8 | Python | false | false | 20,332 | py | normalizations_test.py | # Copyright 2019 The TensorFlow 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 applica... |
24848df4aaa9894f7a5715a8e82584f758bc5e96 | 37a420e606a51195b9d82d4dd8682b6010523fee | /keras_unet_collection/_backbone_zoo.py | bd41de3b29203101a9ef4125df04bb6df40c719e | [
"MIT"
] | permissive | yingkaisha/keras-unet-collection | cee50c21dae011c5312f87b589e6058ddb4def50 | d30f14a259656d2f26ea11ed978255d6a7d0ce37 | refs/heads/main | 2023-04-18T15:55:13.460006 | 2022-07-05T21:43:04 | 2022-07-05T21:43:04 | 323,426,984 | 548 | 161 | MIT | 2023-02-22T08:58:53 | 2020-12-21T19:16:34 | Python | UTF-8 | Python | false | false | 5,193 | py | _backbone_zoo.py |
from __future__ import absolute_import
from tensorflow.keras.applications import *
from tensorflow.keras.models import Model
from keras_unet_collection.utils import freeze_model
import warnings
layer_cadidates = {
'VGG16': ('block1_conv2', 'block2_conv2', 'block3_conv3', 'block4_conv3', 'block5_conv3'),
'V... |
7c4c25c67293c807305dcf166f6b9824e6f49f95 | 4bcc9806152542ab43fc2cf47c499424f200896c | /tensorflow/python/data/experimental/ops/interleave_ops.py | 4cf61f9d5c7f9bb27b1d0ed9ebdec462fa7909d9 | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla",
"BSD-2-Clause"
] | permissive | tensorflow/tensorflow | 906276dbafcc70a941026aa5dc50425ef71ee282 | a7f3934a67900720af3d3b15389551483bee50b8 | refs/heads/master | 2023-08-25T04:24:41.611870 | 2023-08-25T04:06:24 | 2023-08-25T04:14:08 | 45,717,250 | 208,740 | 109,943 | Apache-2.0 | 2023-09-14T20:55:50 | 2015-11-07T01:19:20 | C++ | UTF-8 | Python | false | false | 10,358 | py | interleave_ops.py | # Copyright 2017 The TensorFlow 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 applica... |
d96311e6c1a3722691c5123ed3616a1e4759f96d | c429fa5d7aef02d54eb1b5399dab91ab575ae7b2 | /pyelasticsearch/exceptions.py | a89d5892af06a9f3eb419a792d28d2afe9d485b5 | [
"BSD-3-Clause"
] | permissive | pyelasticsearch/pyelasticsearch | 19dacb97dfee30729fb69d0ca7c65693c8cad340 | 7c2d3dd7dba80e36f061cd20194287ba92b8f81f | refs/heads/master | 2022-02-21T19:16:52.018591 | 2018-04-02T16:54:18 | 2018-04-02T16:54:18 | 533,328 | 162 | 61 | NOASSERTION | 2021-02-22T10:01:00 | 2010-02-24T04:19:00 | Python | UTF-8 | Python | false | false | 3,273 | py | exceptions.py | from urllib3.exceptions import TimeoutError as Timeout
try:
from urllib3.exceptions import NewConnectionError as ConnectionError
except ImportError:
from urllib3.exceptions import ConnectionError
class ElasticHttpError(Exception):
"""Exception raised when ES returns a non-OK (>=400) HTTP status code"""
... |
5399d9bab84c540abd57ef8fb0fcdfd86ba67349 | 6024e8fb79aadad36f44cd46a085cb10bba86a78 | /Chapter_3_code/ControlTurtleBot.py.py | 06c333f8290aa1aa51cadc4f161bd54811384dad | [
"MIT"
] | permissive | PacktPublishing/ROS-Robotics-By-Example | 68aadf45bdadef163403210fc5a96d4caa683aef | 3a072b549efe31318edc2c78b46d20792e49289b | refs/heads/master | 2023-02-09T15:06:52.769997 | 2023-01-30T08:12:09 | 2023-01-30T08:12:09 | 64,373,215 | 106 | 102 | MIT | 2022-05-11T05:37:04 | 2016-07-28T07:22:39 | Python | UTF-8 | Python | false | false | 1,993 | py | ControlTurtleBot.py.py | #!/usr/bin/env python
# Execute as a python script
# Set linear and angular values of TurtleBot's speed and turning.
import rospy # Needed to create a ROS node
from geometry_msgs.msg import Twist # Message that moves base
class ControlTurtleBot():
def __init__(self):
# ControlTurtleBot is... |
9a7b08d90fe7e686e20e5ca892e58d1f88b7a4d9 | 48f47ede2aa107edd1c3cf7973dc634f87eb27bd | /pseudocode/multiagent.py | fed9f9838ff257c7f59b222ac6920348dd311814 | [
"Apache-2.0"
] | permissive | kimbring2/AlphaStar_Implementation | 01c2faf9fabba902146d070cf4a5af52b0324944 | ef9a23cebfce385397e1d67273e6b86ea67a9713 | refs/heads/master | 2023-05-23T14:17:20.085234 | 2022-12-27T16:53:51 | 2022-12-27T16:53:51 | 187,962,388 | 157 | 24 | null | null | null | null | UTF-8 | Python | false | false | 16,028 | py | multiagent.py | """Library for multiagent concerns."""
import collections
import numpy as np
import random
from pysc2.lib import actions, features, units
from utils import get_entity_obs, get_upgrade_obs, get_gameloop_obs, get_race_onehot, get_agent_statistics
from network import EntityEncoder, ScalarEncoder, SpatialEncoder, Core
_... |
a79d5222b4f06e1dbe0d9ca46bd0513c1a3780cf | 503bfe863ae9e92bf940a5e8baa57c0de44f4da6 | /src/silx/gui/plot/items/histogram.py | 9b436b5d15a5d5837e6c9f1be3435ddde39d5652 | [
"MIT",
"LicenseRef-scancode-public-domain-disclaimer",
"CC0-1.0",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause",
"LicenseRef-scancode-public-domain"
] | permissive | silx-kit/silx | 58105c0ed9cd02c75543c0c67a027471ca87922b | 5e33cb69afd2a8b1cfe3183282acdd8b34c1a74f | refs/heads/main | 2023-08-24T14:33:49.732794 | 2023-07-25T07:44:02 | 2023-07-25T07:44:02 | 43,291,718 | 120 | 78 | MIT | 2023-09-14T13:07:11 | 2015-09-28T09:23:13 | Python | UTF-8 | Python | false | false | 14,163 | py | histogram.py | # /*##########################################################################
#
# Copyright (c) 2017-2023 European Synchrotron Radiation Facility
#
# 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 Sof... |
a13a9f5e6cacbf9952b1ee8fa3f95bd433841aa9 | fa1ad2e2ac7e376fc7cb3b3a6e1bb88eed3e80be | /govern/data-meta/OpenMetadata/ingestion/tests/unit/metadata/utils/test_class_helper.py | 812ccd264ec997c36964eff9a2da47a7f3d78314 | [
"Apache-2.0",
"BSD-3-Clause",
"MIT"
] | permissive | alldatacenter/alldata | 7bc7713c9f1d56ad6b8e59ea03206d1073b7e047 | 8d5f9a2d49ab8f9e85ccf058cb02c2fda287afc6 | refs/heads/master | 2023-08-05T07:32:25.442740 | 2023-08-03T13:17:24 | 2023-08-03T13:17:24 | 213,321,771 | 774 | 250 | Apache-2.0 | 2023-09-06T17:35:32 | 2019-10-07T07:36:18 | null | UTF-8 | Python | false | false | 2,104 | py | test_class_helper.py | import pytest
from metadata.generated.schema.entity.services.dashboardService import DashboardService
from metadata.generated.schema.entity.services.databaseService import DatabaseService
from metadata.generated.schema.entity.services.messagingService import MessagingService
from metadata.generated.schema.entity.servi... |
9b904b6b9a038a2726dcff22a66b489181e8d967 | dbab4ef8ab69e46beed07e06523b920bdf4f0bfd | /testing/__init__.py | 3f5c8137a84d1244c9eb1cf285f280bdf1e26303 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | chriskuehl/fluffy | 9322f240d98576169f5a4e0fe4e4cd06e381745c | d1831685fa80e105d88d8e970d54ba51e502dcc9 | refs/heads/main | 2023-08-06T21:40:24.443183 | 2023-05-14T04:34:29 | 2023-05-14T04:34:29 | 15,094,183 | 158 | 25 | NOASSERTION | 2023-06-13T06:27:57 | 2013-12-11T00:49:44 | Python | UTF-8 | Python | false | false | 1,206 | py | __init__.py | import re
import requests
PLAINTEXT_TESTCASES = (
'',
'\t\t\t',
' ',
'hello world',
'éóñəå ⊂(◉‿◉)つ(ノ≥∇≤)ノ',
'hello\nworld\n',
)
BINARY_TESTCASES = (
b'hello world\00',
b'\x43\x92\xd9\x0f\xaf\x32\x2c\x00\x12\x23',
b'\x11\x22\x33\x44\x55',
)
FILE_CONTENT_TESTCASES = tuple(
... |
bf4cac8476c379eb780aac8c1a14695cf4ba6403 | e1cddfd754d952134e72dfd03522c5ea4fb6008e | /test/test_map_br.py | ae09e9b7d7adc91e22a93f7b650d7486a7033224 | [
"Apache-2.0"
] | permissive | FDio/vpp | 0ad30fa1bec2975ffa6b66b45c9f4f32163123b6 | f234b0d4626d7e686422cc9dfd25958584f4931e | refs/heads/master | 2023-08-31T16:09:04.068646 | 2022-03-14T09:49:15 | 2023-08-31T09:50:00 | 96,556,718 | 1,048 | 630 | Apache-2.0 | 2023-06-21T05:39:17 | 2017-07-07T16:29:40 | C | UTF-8 | Python | false | false | 23,981 | py | test_map_br.py | #!/usr/bin/env python3
import ipaddress
import unittest
from framework import VppTestCase, VppTestRunner
from vpp_ip import DpoProto
from vpp_ip_route import VppIpRoute, VppRoutePath
from util import fragment_rfc791, fragment_rfc8200
import scapy.compat
from scapy.layers.l2 import Ether
from scapy.packet import Raw
... |
4cc7425eb1cf872aee38450bd9d4fbc71fca5432 | d5dcc40a62ddb018447cafaa2e7862c2bceed48a | /examples/unittest/snapshots/snap_test_demo.py | 2a663f40df870833eafdd1deadbe053ee3b99da9 | [
"MIT"
] | permissive | syrusakbary/snapshottest | fcbc5f9e6eb0c7200980ca145d6052af8f19d728 | 770b8f14cd965d923a0183a0e531e9ec0ba20192 | refs/heads/master | 2023-08-26T02:04:47.810032 | 2023-07-21T01:38:33 | 2023-07-21T01:38:33 | 87,759,082 | 520 | 99 | MIT | 2023-07-21T01:38:34 | 2017-04-10T02:45:52 | Python | UTF-8 | Python | false | false | 228 | py | snap_test_demo.py | # -*- coding: utf-8 -*-
# snapshottest: v1 - https://goo.gl/zC4yUc
from __future__ import unicode_literals
from snapshottest import Snapshot
snapshots = Snapshot()
snapshots['TestDemo::test_api_me 1'] = {
'url': '/me'
}
|
c853f5e3e587a7fe287daae8415505e5d7a26ad1 | c4b8e1e09dedbccd37ca008ecaaca4438610bbaf | /google_or_tools/set_partition_sat.py | 6a54dafbae87fe97ee82c4326a2873ff04ba6da7 | [
"MIT"
] | permissive | hakank/hakank | 4806598b98cb36dd51b24b0ab688f52dadfe9626 | c337aaf8187f15dcdc4d5b09cd2ed0dbdb2e72c2 | refs/heads/master | 2023-08-15T00:21:52.750270 | 2023-07-27T16:21:40 | 2023-07-27T16:21:40 | 11,933,517 | 336 | 97 | MIT | 2023-07-27T11:19:42 | 2013-08-06T20:12:10 | JavaScript | UTF-8 | Python | false | false | 5,299 | py | set_partition_sat.py | # Copyright 2021 Hakan Kjellerstrand hakank@gmail.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 applicable law ... |
7ddfbd0997b3bc13ceb2a8e8a46b6a1eb97e5141 | 5f32d51807618bccf199f3942f5d92a45367b9a9 | /noxfile.py | d003088216fa450bbf5fc4bce288bcfe22ca6e4e | [
"MIT"
] | permissive | PyO3/setuptools-rust | 89b1ad2bc01da47f8ed90854dd190da2822e9c41 | 322d5f8a642e66d3168025e864e68d84d8c115ea | refs/heads/main | 2023-09-03T03:00:53.325718 | 2023-09-01T13:39:15 | 2023-09-01T13:39:15 | 84,393,574 | 508 | 98 | MIT | 2023-09-05T02:55:05 | 2017-03-09T03:24:55 | Python | UTF-8 | Python | false | false | 4,671 | py | noxfile.py | import os
import tarfile
from inspect import cleandoc as heredoc
from glob import glob
from pathlib import Path
from unittest.mock import patch
import nox
@nox.session(name="test-examples", venv_backend="none")
def test_examples(session: nox.Session):
for example in glob("examples/*/noxfile.py"):
session... |
22fe3c5b0a0260e22ceb298bf6342e1bf01d6634 | 1554b551ecf51d38efd27252b52fc722ee3869af | /models/hbert/model.py | 697d5e49a11805732934454808d66c2d74b7fa8d | [
"Apache-2.0"
] | permissive | castorini/hedwig | 540c231c98f19b576e575f9d8f0a5e937832d752 | 277814c401f4d17f5489e3c8c6deefc1af9eeffd | refs/heads/master | 2023-08-03T08:54:01.015424 | 2022-05-07T20:01:54 | 2022-05-07T20:01:54 | 174,762,036 | 603 | 140 | Apache-2.0 | 2023-07-21T16:23:09 | 2019-03-10T00:44:37 | Python | UTF-8 | Python | false | false | 2,871 | py | model.py | import torch
import torch.nn.functional as F
from torch import nn
from models.hbert.sentence_encoder import BertSentenceEncoder
class HierarchicalBert(nn.Module):
def __init__(self, args, **kwargs):
super().__init__()
self.args = args
input_channels = 1
ks = 3
self.sente... |
45127ae7280b7d3513c2ecddc35611e6e111f1b1 | 8383cd5031e03657a006e05ca229c59f55625c07 | /deepwalk/__init__.py | b110c917226d8ae8f9927ce7cdb7c4b7826cdcbc | [
"MIT"
] | permissive | xgfs/deepwalk-c | 1288fab41022943f1d23be3c3a9c3b16f30d44a0 | 73958672002e2ad2756d567ab868701829ab53e0 | refs/heads/master | 2022-08-08T19:01:06.155093 | 2020-05-15T18:12:37 | 2020-05-15T18:12:37 | 101,648,610 | 101 | 18 | MIT | 2022-12-06T02:40:24 | 2017-08-28T13:57:45 | C++ | UTF-8 | Python | false | false | 35 | py | __init__.py | # encoding: utf8
# __init__.py
|
bd0e5f98c340052b6c224c3980cc2cd89a076a03 | 753cd066a9bd26b6c37c8d53a86c7a9c659ec18c | /nlp/bert/popxl/run_squad_training.py | f89022c8bec28ba1acd3ba4415326701ae76685b | [
"CC-BY-SA-3.0",
"CC-BY-4.0",
"MIT"
] | permissive | graphcore/examples | ac872015808ed2a913d4d7bf0d63202ce15ebbae | e2f834dd60e7939672c1795b4ac62e89ad0bca49 | refs/heads/master | 2023-08-05T02:08:12.341836 | 2023-07-27T11:13:10 | 2023-07-27T11:13:10 | 143,977,106 | 311 | 80 | MIT | 2023-09-11T16:42:56 | 2018-08-08T07:29:17 | Python | UTF-8 | Python | false | false | 6,640 | py | run_squad_training.py | #!/usr/bin/env python3
# Copyright (c) 2021 Graphcore Ltd. All rights reserved.
import logging
import time
import wandb
import torch
import numpy as np
from tqdm import tqdm
from datasets import load_dataset, load_metric
import popxl
from popxl.utils import to_numpy
from squad_inference import squad_inference_phased... |
a7f94a913f2605daf9a187c8108431f4ee78cb1c | eb9f655206c43c12b497c667ba56a0d358b6bc3a | /python/testData/quickFixes/PyRenameElementQuickFixTest/pep8Function.py | 7a358d7e74048395dcee29975827a4e62de5a789 | [
"Apache-2.0"
] | permissive | JetBrains/intellij-community | 2ed226e200ecc17c037dcddd4a006de56cd43941 | 05dbd4575d01a213f3f4d69aa4968473f2536142 | refs/heads/master | 2023-09-03T17:06:37.560889 | 2023-09-03T11:51:00 | 2023-09-03T12:12:27 | 2,489,216 | 16,288 | 6,635 | Apache-2.0 | 2023-09-12T07:41:58 | 2011-09-30T13:33:05 | null | UTF-8 | Python | false | false | 22 | py | pep8Function.py | def Fo<caret>o(): pass |
323e08a38d51cb4a686ee24c757d5b0067ef8423 | d5a3d1197f75b3a0092c370d87f249b1934339bb | /lora_diffusion/preprocess_files.py | bedb89f54dd8ad2b2a5b8b3f3eb69ffb763d38b4 | [
"Apache-2.0"
] | permissive | cloneofsimo/lora | 5b892b4aa4bcd0ee7a86eaf9d0576e5eb112b4c0 | bdd51b04c49fa90a88919a19850ec3b4cf3c5ecd | refs/heads/master | 2023-08-31T12:34:50.029052 | 2023-02-13T09:06:41 | 2023-02-13T09:06:41 | 575,628,616 | 5,410 | 399 | Apache-2.0 | 2023-08-29T17:57:31 | 2022-12-08T00:09:05 | Jupyter Notebook | UTF-8 | Python | false | false | 9,962 | py | preprocess_files.py | # Have SwinIR upsample
# Have BLIP auto caption
# Have CLIPSeg auto mask concept
from typing import List, Literal, Union, Optional, Tuple
import os
from PIL import Image, ImageFilter
import torch
import numpy as np
import fire
from tqdm import tqdm
import glob
from transformers import CLIPSegProcessor, CLIPSegForImage... |
f722625f5b28aac63c36415a17913cf1d1e8003f | 2a71a577dd2a4f235a70b6e54cdfff9c38764081 | /Utils/agent.py | 30d82122a57dfff98cf24ef4f70ae91dc5184544 | [
"MIT"
] | permissive | mkorman90/VolatilityBot | 0ad8ca9f50196b1f92616de7e8b739745bf9deda | b31ef29e42fa820d2e1afc99e9e7c318174bb591 | refs/heads/master | 2021-06-19T13:13:37.347055 | 2021-06-15T05:31:06 | 2021-06-15T05:31:06 | 30,304,847 | 275 | 64 | null | 2021-06-15T05:31:06 | 2015-02-04T15:13:46 | Python | UTF-8 | Python | false | false | 3,530 | py | agent.py | import hashlib
import os
import base64
import json
import subprocess
from flask import Flask, request
from subprocess import Popen
DETACHED_PROCESS = 0x00000008
app = Flask(__name__)
class AgentInstance:
DEST_PATH = 'C:\\temp'
AGENT_KEY = 'ZZ4UNX4MGVSSCQ920O5CFCXR4UOYZ0S1UW70CLF9BC83E1VHA9W9MX0APTQ0WV0G'
... |
b2c9ef4ab11188dcd48b99fee2fc8c2a04acfb69 | 010279e2ba272d09e9d2c4e903722e5faba2cf7a | /contrib/python/scipy/py3/scipy/linalg/special_matrices.py | c862b58d7757b09ac2f2a8d0da8f887570f1ac5f | [
"Apache-2.0",
"Python-2.0",
"LicenseRef-scancode-unknown-license-reference",
"MIT",
"Qhull",
"BSD-3-Clause",
"BSL-1.0",
"BSD-2-Clause"
] | permissive | catboost/catboost | 854c1a1f439a96f1ae6b48e16644be20aa04dba2 | f5042e35b945aded77b23470ead62d7eacefde92 | refs/heads/master | 2023-09-01T12:14:14.174108 | 2023-09-01T10:01:01 | 2023-09-01T10:22:12 | 97,556,265 | 8,012 | 1,425 | Apache-2.0 | 2023-09-11T03:32:32 | 2017-07-18T05:29:04 | Python | UTF-8 | Python | false | false | 39,925 | py | special_matrices.py | import math
import numpy as np
from numpy.lib.stride_tricks import as_strided
__all__ = ['tri', 'tril', 'triu', 'toeplitz', 'circulant', 'hankel',
'hadamard', 'leslie', 'kron', 'block_diag', 'companion',
'helmert', 'hilbert', 'invhilbert', 'pascal', 'invpascal', 'dft',
'fiedler', 'fied... |
f4785e9091ccc3a655f029ca53481dfd1b9749b1 | f305f84ea6f721c2391300f0a60e21d2ce14f2a5 | /前端笔记/牛客/牛客网前端笔试题/算法题/美团2016研发工程师编程题/tempCodeRunnerFile.py | d555b4f3147f32ddfbe90906b3a2ded382a005d6 | [] | no_license | 981377660LMT/algorithm-study | f2ada3e6959338ae1bc21934a84f7314a8ecff82 | 7e79e26bb8f641868561b186e34c1127ed63c9e0 | refs/heads/master | 2023-09-01T18:26:16.525579 | 2023-09-01T12:21:58 | 2023-09-01T12:21:58 | 385,861,235 | 225 | 24 | null | null | null | null | UTF-8 | Python | false | false | 222 | py | tempCodeRunnerFile.py | n(n: int) -> None:
# res = 1
# while res <= n:
# res <<= 1
# print((res >> 1) - 1)
# while True:
# try:
# n = int(input())
# main(n)
# except EOFError:
# br |
524c8e90df87845940c493bbc13e009fa659d14f | 96dcea595e7c16cec07b3f649afd65f3660a0bad | /tests/components/blueprint/test_models.py | b2d3ce517d89c22877344b099a70a1b04ddec9f6 | [
"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 | 9,114 | py | test_models.py | """Test blueprint models."""
import logging
from unittest.mock import patch
import pytest
from homeassistant.components.blueprint import errors, models
from homeassistant.core import HomeAssistant
from homeassistant.util.yaml import Input
@pytest.fixture
def blueprint_1():
"""Blueprint fixture."""
return mo... |
d22a4c6fa17af1e7e860e9f43293629c00fa8cda | db43055180800e54526affb7941fc77e0226c4b3 | /city_scrapers/spiders/chi_ssa_60.py | 306612a2424ae2405ca9fb5ee2962cb7086353ab | [
"MIT"
] | permissive | City-Bureau/city-scrapers | 53724d4e973d71ec331cd9749e350c460aa6fb9d | 611fce6a2705446e25a2fc33e32090a571eb35d1 | refs/heads/main | 2023-08-15T01:06:49.336847 | 2023-07-01T20:39:28 | 2023-07-01T20:39:28 | 97,890,025 | 308 | 366 | MIT | 2023-09-07T07:30:12 | 2017-07-21T00:45:13 | Python | UTF-8 | Python | false | false | 4,270 | py | chi_ssa_60.py | import html
import json
import re
from datetime import datetime
from city_scrapers_core.constants import ADVISORY_COMMITTEE, COMMISSION, COMMITTEE
from city_scrapers_core.items import Meeting
from city_scrapers_core.spiders import CityScrapersSpider
from dateutil.relativedelta import relativedelta
from scrapy import R... |
878826dcd1e6bb8613d0cfb1406b1c8d357d599a | aee26a4c731a84481a499679c3d4cef9ec954aed | /tacker/db/common_services/common_services_db.py | 33a5948249e4c796edc7d4a38bc61061beeb3b58 | [
"Apache-2.0"
] | permissive | openstack/tacker | 6976cbee3afadfd9390849b56da2837feb93e912 | 9c7918f0b501cdeaffae40f585b76fc92b8e196e | refs/heads/master | 2023-09-04T01:22:43.106241 | 2023-08-31T00:06:42 | 2023-08-31T00:42:20 | 21,259,951 | 125 | 172 | Apache-2.0 | 2021-05-09T06:13:08 | 2014-06-27T01:11:56 | Python | UTF-8 | Python | false | false | 1,209 | py | common_services_db.py | # Copyright 2016 Brocade Communications System, Inc.
# 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
#... |
44c37ff693fd9030c0575630b4b4b4e044c81785 | 71b8b60c5627ace1bbda39f679f93f60b55543ca | /tensorflow_federated/python/core/backends/xla/runtime_test.py | 0df53892a144d924b7fc0525ef79a7c5d1ed5282 | [
"Apache-2.0"
] | permissive | tensorflow/federated | ff94b63e9f4af448795bae77cee5b627dcae9051 | ad4bca66f4b483e09d8396e9948630813a343d27 | refs/heads/main | 2023-08-31T11:46:28.559047 | 2023-08-31T02:04:38 | 2023-08-31T02:09:59 | 161,556,784 | 2,297 | 631 | Apache-2.0 | 2023-09-13T22:54:14 | 2018-12-12T23:15:35 | Python | UTF-8 | Python | false | false | 3,348 | py | runtime_test.py | # Copyright 2021, The TensorFlow Federated 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 applicable law o... |
9483452ca2fbdc58f27db3409d526a0b9d9b709f | d12e1825321c6d275ec55f869311d2f3e30cfdab | /libs/deep_models/flow/hd3/models/vgg.py | 2c1a5ecb7002ef2b78510ad7069ea77d67ba62d4 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | Huangying-Zhan/DF-VO | b369e6a00ae0745288acf9d61460f633aa116875 | 50e6ffa9b5164a0dfb34d3215e86cc2288df256d | refs/heads/master | 2022-12-11T18:29:42.457460 | 2022-03-14T00:34:29 | 2022-03-14T00:34:29 | 212,502,276 | 494 | 128 | MIT | 2022-11-22T15:29:20 | 2019-10-03T05:18:35 | Python | UTF-8 | Python | false | false | 2,085 | py | vgg.py | import torch.nn as nn
BatchNorm = nn.BatchNorm2d
class BasicBlock(nn.Module):
def __init__(self, in_planes, out_planes):
super(BasicBlock, self).__init__()
self.conv1 = nn.Conv2d(
in_planes,
out_planes,
kernel_size=3,
stride=2,
padding=... |
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