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fd191f1c5da210ada72d3d2402ec8aabc3981132 | a63d907ad63ba6705420a6fb2788196d1bd3763c | /src/datamgr/datamanager/collection/cmdb/base.py | 91d97111556602a33806e86c1221d0ff056a629e | [
"MIT"
] | permissive | Tencent/bk-base | a38461072811667dc2880a13a5232004fe771a4b | 6d483b4df67739b26cc8ecaa56c1d76ab46bd7a2 | refs/heads/master | 2022-07-30T04:24:53.370661 | 2022-04-02T10:30:55 | 2022-04-02T10:30:55 | 381,257,882 | 101 | 51 | NOASSERTION | 2022-04-02T10:30:56 | 2021-06-29T06:10:01 | Python | UTF-8 | Python | false | false | 8,137 | py | base.py | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available.
Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
BK-BASE 蓝鲸基础平台 is licensed under the MIT License.
License for BK-BASE 蓝鲸基础平台:
---------------------------------------------... |
75f8e9237ffbb5bbe27e4ea79d10948782caafb6 | c7a993dcd7efa07038a77ba7057b04b9450be550 | /marching_cube/val.py | e2feeda6da81a082b83e4a33f3c149945ca788d7 | [
"MIT"
] | permissive | yiyiliao/deep_marching_cubes | 6d5f889a45367239c719892c426bfd8a7865a4db | e6efeb4da828403442b930709666f51a2476636c | refs/heads/master | 2023-03-10T19:21:12.207458 | 2023-02-28T01:50:51 | 2023-02-28T01:50:51 | 137,336,879 | 256 | 36 | null | 2020-09-17T19:00:11 | 2018-06-14T09:29:27 | Python | UTF-8 | Python | false | false | 3,077 | py | val.py | import numpy as np
import torch
from torch.autograd import Variable
import sys
import os
sys.path.append(os.path.join(os.getcwd(), 'model/cffi'))
import matplotlib as mpl
mpl.use('Agg')
from utils.visualize import save_occupancy_fig, save_mesh_fig
from utils.config import parse_args
from model.table import get_accept_t... |
b572663262a4786a27825cdfcbee90d528499456 | 807438e6974bf68762208ec24cf824dd0e5fabd6 | /libcloud/test/storage/test_digitalocean_spaces.py | 4c8146a68c01fb705405152b3ec1f6ca8121a37e | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | apache/libcloud | 019c5bd839dedd2423f9604936886eaff252e04b | abba8c1719a8bda6db8efde2d46fd1b423ae4304 | refs/heads/trunk | 2023-08-31T20:14:22.369970 | 2023-08-21T20:17:57 | 2023-08-21T20:17:57 | 419,555 | 1,644 | 968 | Apache-2.0 | 2023-09-13T19:34:44 | 2009-12-11T09:00:14 | Python | UTF-8 | Python | false | false | 5,303 | py | test_digitalocean_spaces.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 use ... |
7f4da01c743ea3907df701a06c4d71fd3840c0e3 | 7ebb2f0458d3813737dd045473d7c1398d08392d | /pyclesperanto_prototype/_tier0/_array_operators.py | cb7d95b3fbf1ca36ad4c10157175916ff54f1602 | [
"Python-2.0",
"BSD-3-Clause"
] | permissive | clEsperanto/pyclesperanto_prototype | b3192d6984f45571fe0a7dfcceee2058bc4debbe | b465c8669f8e9326874139cf4b9c9af22c22757c | refs/heads/master | 2023-09-04T11:07:55.828329 | 2023-08-25T17:18:30 | 2023-08-25T17:18:30 | 248,206,619 | 152 | 36 | BSD-3-Clause | 2023-05-23T09:44:51 | 2020-03-18T10:56:29 | Jupyter Notebook | UTF-8 | Python | false | false | 20,045 | py | _array_operators.py | import numpy as np
cl_buffer_datatype_dict = {
bool: "bool",
np.uint8: "uchar",
np.uint16: "ushort",
np.uint32: "uint",
np.uint64: "ulong",
np.int8: "char",
np.int16: "short",
np.int32: "int",
np.int64: "long",
np.float32: "float",
np.complex64: "cfloat_t",
int: "int",
... |
ab9de67ab0739dfa2d824f85aa93470dc49828fc | 6ffc81125d6bb5f8476f95b2334a27807b8290de | /flexneuart/ranker/bm25py.py | d41873bad0d97717e0a1c8ac8bf044bb7365d5d8 | [
"BSD-2-Clause",
"Apache-2.0"
] | permissive | oaqa/FlexNeuART | 4cb341ca3c3f94fa28a7cfd4aef5451de3a4a2cb | 0bd3e06735ff705731fb6cee62d3486276beccdf | refs/heads/master | 2023-09-01T00:19:33.980081 | 2023-05-26T19:19:30 | 2023-05-26T19:19:30 | 64,071,121 | 156 | 21 | Apache-2.0 | 2023-09-10T01:27:05 | 2016-07-24T15:08:03 | Java | UTF-8 | Python | false | false | 5,434 | py | bm25py.py | #
# Copyright 2014+ Carnegie Mellon University
#
# 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... |
9a9f82ed13e2bad28b3673612606906a9976a696 | e4816b15dc8b82610676aae3a853eef1cd29a13b | /bigsi/__init__.py | 147ef65ee679b8e7c7d5016cc1d07112fddea7c8 | [
"MIT"
] | permissive | Phelimb/BIGSI | eae3f1fc42aac0eb615d791597e66e0ab6f73668 | bf34abbb9d6f72a9f0c64c40eefc44d810a2502e | refs/heads/master | 2023-09-03T22:27:18.099341 | 2021-08-31T17:23:22 | 2021-08-31T17:23:22 | 66,791,051 | 113 | 20 | MIT | 2023-08-24T20:12:06 | 2016-08-28T21:12:24 | Python | UTF-8 | Python | false | false | 112 | py | __init__.py | # from bigsi import version
from bigsi.utils import *
from bigsi.graph.bigsi import BIGSI
# from main import *
|
06225360e29932dbebe4c75cb1bde087c9a080c1 | dc387b1d0c247aca4d6227a2dcc34c30cd2558fd | /loadgen/demos/lon/py_demo_server_lon.py | bee0b2f8b4a62d152dbb48e1dfecd8e0f4d79e28 | [
"Apache-2.0"
] | permissive | mlcommons/inference | 6f0c725fb3a8d65c349bbd60be23e1db7f8dea74 | c540fcc99eeacfb5c51de8daa0f8cca339f50799 | refs/heads/master | 2023-08-29T11:09:18.621119 | 2023-08-25T16:22:26 | 2023-08-25T16:22:26 | 148,566,613 | 575 | 253 | Apache-2.0 | 2023-09-11T11:26:45 | 2018-09-13T01:53:57 | Python | UTF-8 | Python | false | false | 6,566 | py | py_demo_server_lon.py | # Copyright 2019 The MLPerf 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 applicable ... |
f6ec38876a9b115cd1e56eda29003924b786b1ed | d6712c5008277098937ac90cfe42533ed9ee55a0 | /tests/providers/test_ultradns.py | fdb37d7b257c55fec351c17268dd769002455d5e | [
"MIT"
] | permissive | AnalogJ/lexicon | 50492bccc304c6d703d29382d6d18359a8a171eb | 55914350aa28851b0c4df487bc5176b5a4841b88 | refs/heads/master | 2023-08-17T00:52:46.893312 | 2023-08-16T14:11:46 | 2023-08-16T14:11:46 | 50,903,853 | 1,397 | 402 | MIT | 2023-09-14T14:41:41 | 2016-02-02T07:53:04 | Python | UTF-8 | Python | false | false | 648 | py | test_ultradns.py | """Integration tests for UltraDNS"""
from unittest import TestCase
from integration_tests import IntegrationTestsV2
# Hook into testing framework by inheriting unittest.TestCase and reuse
# the tests which *each and every* implementation of the interface must
# pass, by inheritance from integration_tests.Integration... |
79dc85dee81ae5da150effeb7ce15143f4b66bb5 | fa1ad2e2ac7e376fc7cb3b3a6e1bb88eed3e80be | /ai/modelscope/modelscope/trainers/nlp/space/trainer/intent_trainer.py | dc6b317b0d198e915f822f64e9f2d1c0fc9c5f69 | [
"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 | 29,570 | py | intent_trainer.py | # Copyright (c) Alibaba, Inc. and its affiliates.
import os
import time
from collections import OrderedDict
import json
import numpy as np
import torch
from tqdm import tqdm
from transformers.optimization import AdamW, get_linear_schedule_with_warmup
from modelscope.trainers.nlp.space.metrics.metrics_tracker import ... |
f49451496d86d3b8216eeedf7352fc234f30f75e | 7a6b4705293709e32a6927ad4f76eb0549f3bea9 | /orchestra/workflow/directory.py | 438f9aa7d57e416bb700f22f2782178effde7aeb | [
"Apache-2.0",
"CC-BY-3.0"
] | permissive | b12io/orchestra | a71941d80d1eeddb73f301da8f601b2c31a4b279 | ee8a29122a3491feae1e1c2c4699142726ae6c21 | refs/heads/main | 2023-08-20T17:46:36.360755 | 2023-06-27T13:32:46 | 2023-06-27T13:32:46 | 42,593,972 | 459 | 66 | Apache-2.0 | 2023-06-27T13:32:48 | 2015-09-16T14:55:16 | Python | UTF-8 | Python | false | false | 1,506 | py | directory.py | import json
import os
from orchestra.core.errors import WorkflowError
def parse_workflow_directory(workflow_directory):
parsed = {
'versions': [],
}
# Verify that the directory exists.
if not os.path.exists(workflow_directory):
raise WorkflowError('Workflow directory does not exist.'... |
4d54c3a1643c77ad041a935e99daad8e775a7fa4 | 9c6fb2c163307c267dc62f4bb14fadb088f199eb | /tests/trainers/test_key_checking.py | 04235416855606ae6aece16e7301b380a8b46120 | [
"MIT"
] | permissive | KevinMusgrave/pytorch-metric-learning | ca67a64bcef29f4f1b1e6b5617ddbb4746bfd170 | ac607007dc62666f9de850cd5b8e5694ff0da1c2 | refs/heads/master | 2023-08-31T10:08:03.878425 | 2023-07-25T15:00:08 | 2023-07-25T15:00:08 | 217,113,590 | 5,552 | 688 | MIT | 2023-09-12T08:32:14 | 2019-10-23T17:20:35 | Python | UTF-8 | Python | false | false | 2,678 | py | test_key_checking.py | import copy
import logging
import unittest
import torch
from torchvision import datasets
from pytorch_metric_learning.losses import NTXentLoss, TripletMarginLoss
from pytorch_metric_learning.trainers import (
DeepAdversarialMetricLearning,
MetricLossOnly,
TrainWithClassifier,
TwoStreamMetricLoss,
)
fr... |
cc40fff7aff65967055ef0b0d8a0196674b9379d | c6f236361649a4bf56576fcb499ca80b4b00bc7f | /tests/my_dict_test.py | bfab349b14b1745c495ff2be291aabb3b43128d9 | [
"MIT"
] | permissive | kaste/mockito-python | e3ae81630f3123aed5ef1cbcb247e61a6bf63f9d | 7483a5f76c7e7fb8121c2dc129bfb147a24e8eca | refs/heads/master | 2022-10-09T04:37:02.227871 | 2022-09-30T21:07:49 | 2022-09-30T21:07:49 | 56,911,241 | 111 | 18 | MIT | 2022-08-25T20:46:41 | 2016-04-23T09:23:52 | Python | UTF-8 | Python | false | false | 1,194 | py | my_dict_test.py |
import pytest
from mockito.mock_registry import _Dict
from mockito.mocking import Mock
class TestCustomDictLike:
def testAssignKeyValuePair(self):
td = _Dict()
obj = {}
mock = Mock(None)
td[obj] = mock
def testGetValueForKey(self):
td = _Dict()
obj = {}
... |
5d6199d22c23195b4d54323e0efb1b236260a2ec | 06955f6c7f2a0ce54413fcb9ed10453298e36dcf | /fsspec/implementations/webhdfs.py | cc595934f9a0161be24d3e300260fb73d4fd9784 | [
"BSD-3-Clause"
] | permissive | fsspec/filesystem_spec | aba07f52331dc380370af326ea79a0f2061816c0 | 212c26f34ada124e3d6ff9b2b520fdadc4903094 | refs/heads/master | 2023-09-01T00:02:37.323404 | 2023-08-31T19:14:12 | 2023-08-31T19:14:12 | 130,727,736 | 308 | 135 | BSD-3-Clause | 2023-09-14T20:25:47 | 2018-04-23T16:45:08 | Python | UTF-8 | Python | false | false | 15,391 | py | webhdfs.py | # https://hadoop.apache.org/docs/r1.0.4/webhdfs.html
import logging
import os
import secrets
import shutil
import tempfile
import uuid
from contextlib import suppress
from urllib.parse import quote
import requests
from ..spec import AbstractBufferedFile, AbstractFileSystem
from ..utils import infer_storage_options, ... |
afa4b070e97f153354edfd14728ee4342df8b8de | 5f1881006aaf4f3c2515f375ad29c15fd6612de2 | /poset_decoding/traversal_path_prediction/MatchZoo-py/matchzoo/datasets/embeddings/__init__.py | d6c86f24920089cc80579f3c1fe2310e4a5199eb | [
"MIT",
"LicenseRef-scancode-generic-cla",
"LicenseRef-scancode-proprietary-license",
"LicenseRef-scancode-free-unknown",
"LicenseRef-scancode-unknown-license-reference",
"LGPL-2.1-or-later",
"Apache-2.0",
"LicenseRef-scancode-public-domain",
"BSD-2-Clause"
] | permissive | microsoft/ContextualSP | 4edb598d40f683f9a1143b92a9d24e1066d51ec4 | 4198ebce942f4afe7ddca6a96ab6f4464ade4518 | refs/heads/master | 2023-08-02T22:08:40.503853 | 2023-07-14T07:22:50 | 2023-07-14T07:22:50 | 255,534,819 | 332 | 70 | MIT | 2023-07-25T19:23:48 | 2020-04-14T07:01:54 | Python | UTF-8 | Python | false | false | 339 | py | __init__.py | from pathlib import Path
from .load_glove_embedding import load_glove_embedding
from .load_fasttext_embedding import load_fasttext_embedding
DATA_ROOT = Path(__file__).parent
EMBED_RANK = DATA_ROOT.joinpath('embed_rank.txt')
EMBED_10 = DATA_ROOT.joinpath('embed_10_word2vec.txt')
EMBED_10_GLOVE = DATA_ROOT.joinpath('em... |
b0d0354ffc263868500becfd50a367a2fc8dcf5a | 5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d | /alipay/aop/api/response/AlipayCommerceTransportAdStocktaskresultQueryResponse.py | fe5cd62d612b8d2834d9ea43b963f18d47517de7 | [
"Apache-2.0"
] | permissive | alipay/alipay-sdk-python-all | 8bd20882852ffeb70a6e929038bf88ff1d1eff1c | 1fad300587c9e7e099747305ba9077d4cd7afde9 | refs/heads/master | 2023-08-27T21:35:01.778771 | 2023-08-23T07:12:26 | 2023-08-23T07:12:26 | 133,338,689 | 247 | 70 | Apache-2.0 | 2023-04-25T04:54:02 | 2018-05-14T09:40:54 | Python | UTF-8 | Python | false | false | 1,056 | py | AlipayCommerceTransportAdStocktaskresultQueryResponse.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.StockTaskResult import StockTaskResult
class AlipayCommerceTransportAdStocktaskresultQueryResponse(AlipayResponse):
def __init__(self):
super(AlipayComme... |
38210eae33191f3349f6661779a61e9b241922b5 | 4091caecbc727e6d6ae0d827afce11c5979a84fd | /tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/custom_evaluators/sr_evaluator.py | fda66de078bc92e80dd15058412ba323ce56bf87 | [
"Apache-2.0"
] | permissive | openvinotoolkit/open_model_zoo | fdb03dd40bfccb854e4ed4f7b9beaa90596963cd | 7929adbe91e9cfe8dc5dc1daad5ae7392f9719a0 | refs/heads/master | 2023-08-18T18:03:47.254427 | 2023-08-18T10:54:31 | 2023-08-18T10:54:31 | 153,097,694 | 1,712 | 730 | Apache-2.0 | 2023-09-11T11:31:20 | 2018-10-15T10:55:02 | Python | UTF-8 | Python | false | false | 11,741 | py | sr_evaluator.py | """
Copyright (c) 2018-2023 Intel 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 required by applicable law or agreed to in wri... |
1a3c5a56c02301fb027f8a6d0094e5b0c95b32c1 | cd99fe697ce43e30a64df9cc1df9470d1b0712ab | /forge/ethyr/torch/stim.py | d8b0f3fd65fc74f1fdb42c128ebb69e667d88e01 | [
"MIT"
] | permissive | openai/neural-mmo | ecde7382aa06123b9951cd78712e5eb1497204aa | 38fd0310bc784de9b86e5144d0e78f4d31005e6b | refs/heads/v1.0 | 2023-08-05T02:48:18.988444 | 2019-09-13T23:46:13 | 2019-09-13T23:46:13 | 173,154,826 | 1,607 | 203 | MIT | 2023-07-21T13:04:40 | 2019-02-28T17:17:24 | Python | UTF-8 | Python | false | false | 375 | py | stim.py | from forge.ethyr.torch import utils as tu
from forge.ethyr import stim
from pdb import set_trace as T
class Stim:
def __init__(self, ent, env, config):
sz = config.STIM
flat = stim.entity(ent, ent, config)
conv, ents = stim.environment(env, ent, sz, config)
self.flat = tu.var(flat)
s... |
b3a43edb033fbc19c681f822e51da2f60f8c2942 | ac235a23f22be0d6f1818bb53902177f9969813a | /tests/contrib/gunicorn/test_gunicorn.py | e3335ca87fd948bdbd8313ceb8431cf21cda87c5 | [
"Apache-2.0",
"BSD-3-Clause"
] | permissive | DataDog/dd-trace-py | f09d6d48c4c69aea68f999fc8a458ade5c6150cf | 1e3bd6d4edef5cda5a0831a6a7ec8e4046659d17 | refs/heads/1.x | 2023-09-01T20:25:26.746324 | 2023-09-01T18:54:37 | 2023-09-01T18:54:37 | 61,572,326 | 461 | 426 | NOASSERTION | 2023-09-14T20:38:57 | 2016-06-20T18:52:23 | Python | UTF-8 | Python | false | false | 7,261 | py | test_gunicorn.py | from contextlib import contextmanager
import json
import os
import subprocess
import sys
import time
from typing import Dict
from typing import NamedTuple
from typing import Optional
import pytest
from ddtrace.internal import compat
from ddtrace.internal.utils.retry import RetryError # noqa
from tests.utils import s... |
05bab4c4a0c3e1667974e0799d68e396e612b87d | aac83d1162f41ed6de230ebb8eb9dfa760017443 | /crawler/tools/legacy/export.py | b812a12ab9bc52d3ff5d007ba7755a195ab2648f | [
"MIT"
] | permissive | g0v/tw-rental-house-data | e4e405f98cc5a38a635ba1e1593a67f23638455f | 28957d50a47945c75b7138120b6eca5570744b69 | refs/heads/master | 2023-08-28T11:29:32.263983 | 2023-08-27T05:26:22 | 2023-08-27T05:26:22 | 133,367,858 | 142 | 30 | MIT | 2023-02-08T02:16:37 | 2018-05-14T13:50:37 | Python | UTF-8 | Python | false | false | 12,187 | py | export.py | import sys
import os
import csv
import argparse
import json
from datetime import datetime, timedelta
from django.utils import timezone
from django.core.paginator import Paginator
sys.path.append('{}/..'.format(
os.path.dirname(os.path.realpath(__file__))))
from tools.utils import load_django
load_django()
from t... |
88590916661ef5f570a814467f6bcd9d33ca7ff2 | 469c1754788d8637a74e6306ae3a4e536dba88b0 | /astroML/density_estimation/xdeconv.py | 31e2baed6e7608675e486db5174d953ae979817c | [
"BSD-2-Clause",
"BSD-3-Clause"
] | permissive | astroML/astroML | 17bbbfdbd9da06407d727c6e032d23c5a63ec098 | 3ec75de08cddd59577e8c2a79be354c5eaebf9db | refs/heads/main | 2023-08-07T11:54:17.311594 | 2022-12-12T08:52:31 | 2022-12-12T08:52:31 | 6,269,799 | 878 | 300 | BSD-2-Clause | 2023-05-09T14:41:47 | 2012-10-17T22:33:50 | Python | UTF-8 | Python | false | false | 7,199 | py | xdeconv.py | """
Extreme deconvolution solver
This follows Bovy et al.
http://arxiv.org/pdf/0905.2979v2.pdf
Arbitrary mixing matrices R are not yet implemented: currently, this only
works with R = I.
"""
from time import time
import numpy as np
from scipy import linalg
try: # SciPy >= 0.19
from scipy.special import logsumex... |
4759d3b8b301784b1e0a5b21e1cdc2bd998c0558 | 20d4aac372684501ce6d1b35b8d0beeb20769341 | /pyart/aux_io/pattern.py | fb3e7871fc849d929118e29ac6e4644d0e594887 | [
"BSD-3-Clause"
] | permissive | ARM-DOE/pyart | c108dd28a2d6eb1eaaa414408757feefac9515c3 | 172bbcf1cf3bcdb953c76ebae72c27c95dc2e606 | refs/heads/main | 2023-08-18T07:41:28.137014 | 2023-08-17T15:58:24 | 2023-08-17T15:58:24 | 6,248,645 | 455 | 255 | NOASSERTION | 2023-09-14T20:09:51 | 2012-10-16T17:51:30 | Python | UTF-8 | Python | false | false | 3,822 | py | pattern.py | """
Routines for reading files from the X-band radar from the PATTERN_ project.
.. _PATTERN: http://www.mi.uni-hamburg.de/PATTERN-Pre.6763.0.html
"""
import datetime
import netCDF4
import numpy as np
from ..config import FileMetadata
from ..core.radar import Radar
from ..io.common import _test_arguments, make_time... |
677ca3b5fb5beffd7bceb5db0a95699192737137 | 767c07db1fb131047af3d9b0a065b8fdc8aac9ab | /74-sns/sns_facets_multiple.py | 41b25a5a7b598249e64c6500e00917bd78e42fc8 | [] | no_license | DUanalytics/pyAnalytics | e52c5469da30a5f436ec0f3120d9f15fb82fd9b3 | 107a08bebe46ea51afccfeae4a666213bb405d41 | refs/heads/master | 2023-07-08T04:32:54.758902 | 2023-07-03T14:37:04 | 2023-07-03T14:37:04 | 202,094,535 | 394 | 31 | null | null | null | null | UTF-8 | Python | false | false | 3,829 | py | sns_facets_multiple.py | #Facet PLot
#https://seaborn.pydata.org/tutorial/axis_grids.html
#-----------------------------
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style="ticks")
#
sns.FacetGrid?
sns.FacetGrid( data, row=None, col=None, hue=None, col_wrap=None, sharex=True, sharey=True,height=3, aspect=1, palette=None, ro... |
ceb592f23e5ebda698f79ca3e0533d5b27f95e76 | ed80826b0e9f4ae360fa50d33bb82b4abb618f2e | /ipydatagrid/datagrid.py | 556698028291de716d55d8524e6ac96a415106da | [
"BSD-3-Clause"
] | permissive | bloomberg/ipydatagrid | a2fc2b3b928bb18bcb47be4a95670883be8e1791 | 5720115b158abd286678e35b6c9e9714746573cc | refs/heads/main | 2023-07-25T14:50:19.410607 | 2023-05-22T15:26:46 | 2023-05-22T15:56:06 | 197,740,704 | 422 | 49 | BSD-3-Clause | 2023-09-08T18:11:48 | 2019-07-19T09:06:19 | TypeScript | UTF-8 | Python | false | false | 29,575 | py | datagrid.py | # Copyright (c) Bloomberg.
# Distributed under the terms of the Modified BSD License.
import datetime
import decimal
from collections.abc import Iterator
from copy import deepcopy
from math import floor
import numpy as np
import pandas as pd
from ipywidgets import CallbackDispatcher, DOMWidget, widget_serialization
f... |
4ab445ade110777f073a014fa1dab2c092afe6a2 | 02462a2fdf4ecb06a7d0493ad08e60003775a74b | /loompy/view_manager.py | e21a38a5c97c2097187055f96f015a3642e05493 | [
"BSD-2-Clause"
] | permissive | linnarsson-lab/loompy | 135fe7ffc9124bc47a96f2fdfdd71ed62a7dd8aa | 07d5ad7bda1b140f05b0d294dcf11de64351acc8 | refs/heads/master | 2023-07-19T07:58:19.950741 | 2023-07-10T10:51:27 | 2023-07-10T10:51:27 | 86,575,060 | 121 | 40 | BSD-2-Clause | 2022-03-05T08:39:57 | 2017-03-29T11:38:54 | Python | UTF-8 | Python | false | false | 1,009 | py | view_manager.py | import numpy as np
import loompy
from typing import *
class ViewManager:
"""
Create views by slicing an underlying LoomConnection or LoomView
"""
def __init__(self, ds: Any) -> None:
self.ds = ds
def __getitem__(self, slice_: Tuple[Union[slice, np.ndarray, int], Union[slice, np.ndarray, int]]) -> loompy.LoomV... |
c41c404b0e7b5e454548bc01828ec8455265bf76 | e1bc3f6ba4b5be07eacb7447897e04f6bd292f4b | /cookiecutter_template/{{cookiecutter.project_name}}/rastervision_{{cookiecutter.project_name}}/rastervision/{{cookiecutter.project_name}}/configs/test.py | f4de7b1aa59dbfa75b5ae290513ccbb1431517cb | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] | permissive | azavea/raster-vision | 15bcab9cbc88dce7ebcb6dfe741d482018718e40 | 4f0ab5f04769a7eb5e677cbfa73f2391f4ab7d39 | refs/heads/master | 2023-08-30T10:19:09.204623 | 2023-08-28T19:46:08 | 2023-08-28T19:46:08 | 80,733,109 | 1,941 | 384 | NOASSERTION | 2023-09-14T20:35:16 | 2017-02-02T14:31:54 | Python | UTF-8 | Python | false | false | 253 | py | test.py | from rastervision.{{cookiecutter.project_name}}.test_pipeline_config import (
TestPipelineConfig)
def get_config(runner, root_uri='/opt/data/test-pipeline', message='hello world'):
return TestPipelineConfig(root_uri=root_uri, message=message)
|
023833fdc8cb7e6a2e53e41ba310e10bbb62d928 | 9882a8d98429fe0f227b062b0e89da9b881e902c | /losses/alignment.py | e7d233c334fed2541ceae8cd881dc6005d022f47 | [
"Apache-2.0"
] | permissive | grib0ed0v/face_recognition.pytorch | 87306a5b8c7ded2bf61ddaf2166bb868be8e72cc | 05cb9b30e8220445fcb27988926d88f330091c12 | refs/heads/develop | 2020-04-26T04:11:51.213924 | 2019-04-10T11:04:21 | 2019-04-10T11:04:21 | 173,293,569 | 170 | 23 | Apache-2.0 | 2019-04-10T11:04:22 | 2019-03-01T11:49:14 | Python | UTF-8 | Python | false | false | 2,786 | py | alignment.py | """
Copyright (c) 2018 Intel 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 required by applicable law or agreed to in writin... |
502b02d1c61d4e86509630f79c837a98d579e3d2 | 39d3a01f30dd24be11f284a6fd25aae3c3ac56e5 | /pixeldefend/models/pixelcnn_cifar.py | 2bd1d74b9beec39dd65d303e28781ab2cafd0007 | [] | no_license | anishathalye/obfuscated-gradients | a94470ad4ca7a9f16f2856f7fbab558e2e4c891e | 9ef8b37ae985183f1cd37a40d126af7ab6c8d057 | refs/heads/master | 2023-06-21T19:37:43.648545 | 2023-06-10T14:11:29 | 2023-06-10T14:11:29 | 119,627,984 | 917 | 187 | null | 2018-11-04T23:15:52 | 2018-01-31T03:13:46 | Jupyter Notebook | UTF-8 | Python | false | false | 2,166 | py | pixelcnn_cifar.py | import models.pixel_cnn_pp.nn as nn
from models.pixel_cnn_pp.model import model_spec
from utils import optimistic_restore
import tensorflow as tf
import numpy as np
import os
_PIXELCNN_CHECKPOINT_NAME = 'params_cifar.ckpt'
DATA_DIR = os.path.join(
os.path.dirname(__file__),
os.pardir,
'data'
)
_obs_shape ... |
94ba1ac5ca4e96bbfe8db89ae86087b430ab254f | 7ae27ce9a8c477855f8fd5fac54685716d868349 | /invokeai/app/invocations/noise.py | 1f1d9fe3ce8d3d85b870dcbed792c14b724d599d | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | invoke-ai/InvokeAI | 5f7a2c1f19b1f686099a8cf4cec85aa9c7b6d81d | 2bd3cf28eabff2dcf3339669be222061dd208cb8 | refs/heads/main | 2023-08-31T07:06:56.721576 | 2023-08-30T19:05:17 | 2023-08-30T19:05:17 | 525,592,995 | 15,987 | 1,678 | Apache-2.0 | 2023-09-14T20:29:39 | 2022-08-17T01:04:27 | TypeScript | UTF-8 | Python | false | false | 3,386 | py | noise.py | # Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654) & the InvokeAI Team
import torch
from pydantic import validator
from invokeai.app.invocations.latent import LatentsField
from invokeai.app.util.misc import SEED_MAX, get_random_seed
from ...backend.util.devices import choose_torch_device, torch_dty... |
ccfdd7514aa9113dc237e829c156d16759018eca | 60ba5cc2f817471dd0ff84a15996b46b1dbfa6ba | /park/unittest/test_multi_dim_index.py | 044efa666beac88fd27e218f4dafb1248c2e604c | [
"MIT"
] | permissive | park-project/park | dd15d27e5859fe421c878a90627716623892b6f9 | 08f8f7f0dea14e011af2d5ce2a72410084eb8713 | refs/heads/master | 2023-06-28T11:38:30.359938 | 2022-04-07T14:42:21 | 2022-04-07T14:42:21 | 184,142,889 | 216 | 55 | MIT | 2023-06-14T16:10:38 | 2019-04-29T20:55:25 | Python | UTF-8 | Python | false | false | 472 | py | test_multi_dim_index.py | import sys
sys.path.append('/home/ubuntu/park')
import unittest
from park.unittest.run_env import run_env_with_random_agent
class TestMultiDimIndex(unittest.TestCase):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.env_name = 'multi_dim_index'
def test_run_env_n_t... |
3ff8d14a1652271308d12774bdbc2afbf41b2635 | 6436d1e6c23f9f43a8025889dc4414a3ad66acf2 | /Assets/Python/BUG/Tabs/BugCityScreenOptionsTab.py | 5e78f26838546355a735b97c4c554c2ab9108d53 | [
"MIT"
] | permissive | dguenms/Dawn-of-Civilization | b710195c4f46fe11d9229182c3b1e07b77f42637 | a305e7846d085d6edf1e9c472e8dfceee1c07dd4 | refs/heads/develop | 2023-09-04T04:57:00.086384 | 2023-09-01T15:24:28 | 2023-09-01T15:24:28 | 45,362,597 | 116 | 121 | MIT | 2023-02-08T00:18:53 | 2015-11-01T23:52:28 | C++ | UTF-8 | Python | false | false | 6,908 | py | BugCityScreenOptionsTab.py | ## BugCityScreenOptionsTab
##
## Tab for the BUG City Screen Options.
##
## Copyright (c) 2007-2008 The BUG Mod.
##
## Author: EmperorFool
import BugOptionsTab
class BugCityScreenOptionsTab(BugOptionsTab.BugOptionsTab):
"BUG City Screen Options Screen Tab"
def __init__(self, screen):
BugOptionsTab... |
e90049026804e7436f9e7b962052cf3072cd9cda | b8bbdfc593b6d816e67a344f720f90ec05236778 | /airflow/providers/apache/sqoop/operators/sqoop.py | 8aaae63dabda4458722ed4d66c766f17c66a2b0e | [
"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 | 11,027 | py | sqoop.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... |
2f90a5bdb40b8fd4f3230a6328d9a6aaeb7dbccb | d50ec43131be668368200315d1d9d307071d5385 | /keanu-python/nd4j/nd4j/__version__.py | 190d5b391a8f259545044fe6289da6c8f5469ecb | [
"MIT"
] | permissive | improbable-research/keanu | 605e4dc6a2f90f095c2c1ec91fa1222ae8d04530 | 99de10a15e0d4b33d323093a5cc2dd10b31c9954 | refs/heads/develop | 2023-04-14T01:17:29.130975 | 2021-09-21T10:24:48 | 2021-09-21T10:24:48 | 128,393,918 | 155 | 47 | MIT | 2023-04-12T00:18:07 | 2018-04-06T12:48:36 | Java | UTF-8 | Python | false | false | 28 | py | __version__.py | __version__ = '1.0.0-beta3'
|
e08fc5ccd9cb56f4548c7ba2abaebd54451c1bea | f305f84ea6f721c2391300f0a60e21d2ce14f2a5 | /19_数学/计算几何/六边形蜂巢距离.py | 95359bc7f5b4982e148d5bfbc84d8fcdda15db12 | [] | 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 | 578 | py | 六边形蜂巢距离.py | # 六边形距离公式(蜂巢距离公式)
def hexagon_distance(x1: int, y1: int, x2: int, y2: int) -> int:
"""蜂巢六边形中两点(x1, y1)和(x2, y2)的距离(移动步数)"""
dx, dy = x1 - x2, y1 - y2
return max(abs(dx), abs(dy), abs(dx - dy)) # 注意这也是三维空间中到原点的切比雪夫距离
assert hexagon_distance(0, 0, 1, 1) == 1
assert hexagon_distance(1, 1, 2, 0) ... |
dcbdaba607a880fdb4dd7b6fe79b15fa4a824aa2 | a689769a760105bfae0feba6bbab0111eddedd5b | /tests/inputs/config.py | 6da1f887d52ae6225416fb696bbacf2841ee3c67 | [
"MIT"
] | permissive | danielgtaylor/python-betterproto | b7ee67f19700de3c31047568d2edf2d52d333d7d | 4cdf1bb9e0651b0604c1cc21172e13053da7653c | refs/heads/master | 2023-08-24T14:47:15.068858 | 2023-07-29T11:06:56 | 2023-07-29T11:06:56 | 214,084,028 | 1,207 | 188 | MIT | 2023-09-02T10:12:28 | 2019-10-10T04:09:03 | Python | UTF-8 | Python | false | false | 996 | py | config.py | # Test cases that are expected to fail, e.g. unimplemented features or bug-fixes.
# Remove from list when fixed.
xfail = {
"namespace_keywords", # 70
"googletypes_struct", # 9
"googletypes_value", # 9
"import_capitalized_package",
"example", # This is the example in the readme. Not a test.
}
se... |
869d14dde146ab10443dd1a78212033034c84109 | 476f16f7af921e53287efad025ae3ce32f38a4fa | /external/bloodhound/enumeration/outputworker.py | 34ef92ae93e6e2e5517222cf7d3604a7a55995fa | [
"MIT"
] | permissive | CasperGN/ActiveDirectoryEnumeration | dcf760ac7193d4de99449f77a633ef75404b3d0a | 49641f7edd451fb07ebdada8b60b0451a1a38c16 | refs/heads/master | 2023-08-21T15:05:54.151817 | 2023-02-17T12:31:37 | 2023-02-17T12:31:37 | 245,241,283 | 133 | 40 | MIT | 2023-08-03T00:17:19 | 2020-03-05T18:41:59 | Python | UTF-8 | Python | false | false | 3,941 | py | outputworker.py | ####################
#
# Copyright (c) 2018 Fox-IT
#
# 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, copy, modify, merge... |
997e91c1cf3d507747abd7556c59c7b269adc437 | 119fd34e3481b78b90f76ac1ea2829aa3ba670b0 | /ktrain/text/ner/anago/models.py | 7a66f9e4736d0653302d26c0505c413675d0f3e1 | [
"Apache-2.0",
"CC-BY-NC-4.0",
"MIT"
] | permissive | amaiya/ktrain | 7b7862faa37909c038640177ae504b4869738e48 | ab03ae68053b727cb8907e08c35f265531d1cb3a | refs/heads/master | 2023-08-28T06:42:41.111198 | 2023-08-17T10:51:40 | 2023-08-17T10:51:40 | 169,442,310 | 1,217 | 309 | Apache-2.0 | 2023-03-30T14:33:43 | 2019-02-06T17:01:39 | Jupyter Notebook | UTF-8 | Python | false | false | 6,478 | py | models.py | """
Model definition.
"""
from .... import utils as U
from ....imports import *
# if U.is_tf_keras():
# from .layers import CRF
# else:
# from .layers_standalone import CRF
def save_model(model, weights_file, params_file):
with open(params_file, "w") as f:
params = model.to_json()
json.dump(json.... |
b8489f2deba2091748bf104259489729b44f2aa7 | 3d8951322db8a6251ec9d73cab45b56d8d4f06de | /ops.py | 9b574663f6138cd2eda98854980afcd56800471a | [
"Apache-2.0"
] | permissive | linjieyangsc/video_seg | f67e47e5ec9cfdea0e01805817e71c4a01165780 | b956142691660f02bd72fad936879fc156ee5b47 | refs/heads/master | 2021-05-04T15:40:11.729445 | 2020-05-12T18:44:58 | 2020-05-12T18:44:58 | 120,236,287 | 172 | 28 | null | null | null | null | UTF-8 | Python | false | false | 2,826 | py | ops.py | import tensorflow as tf
import os
slim = tf.contrib.slim
def instance_normalization(inputs,reuse=None, variables_collections=None,output_collections=None,
use_biases=True, trainable=True, scope=None):
with tf.variable_scope(scope, 'InstanceNorm', [inputs],
reuse=reuse) as sc:
... |
abd2936b419aa87361bc847005c214abb27ce588 | 00f950030a550cfd7e972794ee993d94a92d75be | /ck/ck/repo/module/package/template-git-soft-customize.py | d2c27dd07a28ff3326907bb39b4011d1f88de019 | [
"Apache-2.0",
"CC-BY-SA-3.0",
"MIT",
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | mlcommons/ck | 6261de6a99934cdd84c413de01d2ee4df6f9217a | e4306117546ea01f688afc7540c0ae2e1c007470 | refs/heads/master | 2023-09-01T23:26:28.195951 | 2023-09-01T17:26:00 | 2023-09-01T17:26:00 | 26,230,485 | 122 | 33 | Apache-2.0 | 2023-09-13T12:01:35 | 2014-11-05T17:14:43 | Python | UTF-8 | Python | false | false | 653 | py | template-git-soft-customize.py | #
# Automatically generated
#
import os
##############################################################################
# setup environment
def setup(i):
s=''
cus=i['customize']
env=i['env']
fp=cus.get('full_path','')
ep=cus.get('env_prefix','')
if ep=='':
re... |
f4fb59423eeb2e8d128543b03b0d629a6842d81d | 2066e9e86a81291ef25029a37719a10d519c6545 | /tasks/glue/data.py | d96f6962d97cee1d1b4b7948b906b01af0724cfb | [
"MIT",
"Apache-2.0"
] | permissive | NVIDIA/Megatron-LM | 143cd64258191390a369442b705d5b348083c685 | 99b044bff07f8e5d48b45223ed4bb11bd4e884e6 | refs/heads/main | 2023-09-04T05:57:16.169810 | 2023-08-30T18:25:58 | 2023-08-30T18:25:58 | 176,982,014 | 6,315 | 1,136 | NOASSERTION | 2023-09-14T11:34:29 | 2019-03-21T16:15:52 | Python | UTF-8 | Python | false | false | 1,994 | py | data.py | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
"""GLUE dataset."""
from abc import ABC
from abc import abstractmethod
from torch.utils.data import Dataset
from megatron import print_rank_0
from tasks.data_utils import build_sample
from tasks.data_utils import build_tokens_types_paddings_from_text
... |
13894b214e3740b6a073540424c5ab59f9c8e8dc | 8c39ba92cc71ff78242477d3256f6ee3daa872c7 | /conans/test/integration/package_id/python_requires_package_id_test.py | 3648dd8cf3faee57c4af70ac3878befd1998ff9e | [
"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 | 6,041 | py | python_requires_package_id_test.py | import textwrap
import unittest
from conans.test.utils.tools import TestClient, GenConanfile
from conans.util.files import save
PKG_ID_1 = "47b42eaf657374a3d040394f03961b66c53bda5e"
PKG_ID_2 = "8b7006bf91e5b52cc1ac24a7a4d9c326ee954bb2"
class PythonRequiresPackageIDTest(unittest.TestCase):
def setUp(self):
... |
785c4e1b10e973b28e2b3629d572577ae4022857 | e196fe807b2720eb7f08ad9ca914887341bd9b44 | /src/streamlink/utils/path.py | daba580dd4a0240ec40a626124c8a7098da629f5 | [
"BSD-2-Clause"
] | permissive | streamlink/streamlink | ab2ce4a8d71d2abd67f300628f04ce960e7696d0 | 561f7ef854e3ec076e5bd3efb3e7f8efe5df32df | refs/heads/master | 2023-08-29T15:03:17.008502 | 2023-08-26T19:24:39 | 2023-08-27T11:02:30 | 68,402,336 | 9,529 | 1,385 | BSD-2-Clause | 2023-09-13T13:37:33 | 2016-09-16T17:52:50 | Python | UTF-8 | Python | false | false | 491 | py | path.py | from pathlib import Path
from shutil import which
from typing import List, Optional, Union
def resolve_executable(
custom: Optional[Union[str, Path]] = None,
names: Optional[List[str]] = None,
fallbacks: Optional[List[Union[str, Path]]] = None,
) -> Optional[Union[str, Path]]:
if custom:
retur... |
9fcffa6d22cf9430819095180c91525f6943c098 | 23895eba556353a116d97a3e9fa60f7ed9c9f693 | /Paths/Find Near Vertical Misses.py | d58d11239a608e3275849cae202528b4908fe9f8 | [
"Apache-2.0"
] | permissive | mekkablue/Glyphs-Scripts | 9970200e6b7223be58ff9122dd519af176f210de | fe09b4cf3754bc10c3037c3312a19c1b909a74d6 | refs/heads/master | 2023-08-28T15:02:21.931491 | 2023-08-25T17:12:34 | 2023-08-25T17:12:34 | 2,517,418 | 322 | 108 | Apache-2.0 | 2023-08-15T15:24:50 | 2011-10-05T07:12:37 | Python | UTF-8 | Python | false | false | 21,532 | py | Find Near Vertical Misses.py | #MenuTitle: Find Near Vertical Misses
# -*- coding: utf-8 -*-
from __future__ import division, print_function, unicode_literals
__doc__ = """
Finds nodes that are close but not exactly on vertical metrics.
"""
import vanilla
class FindNearVerticalMisses(object):
marker = "❌"
heightsToCheck = []
prefID = "com.mek... |
4982073ff0217be3395b4d90730b3ee7ee87df0d | af20739e34a39f0a0a99537ce047f502a3531ea5 | /tests/extension/test_serverextension.py | b0c0fa446e126ed4373f6c7278c70022b9db60d6 | [
"BSD-3-Clause"
] | permissive | jupyter-server/jupyter_server | 66cf0ac45804aa5dd6bf8dff7050db02f3696b92 | 93fde1ad9fece22607960184501f5c9c80cd3765 | refs/heads/main | 2023-09-04T03:44:41.696097 | 2023-08-31T08:20:36 | 2023-08-31T08:20:36 | 68,849,978 | 237 | 186 | BSD-3-Clause | 2023-09-09T02:42:25 | 2016-09-21T19:18:45 | Python | UTF-8 | Python | false | false | 4,680 | py | test_serverextension.py | from collections import OrderedDict
import pytest
try:
from jupyter_core.paths import prefer_environment_over_user
except ImportError:
prefer_environment_over_user = None # type:ignore
from traitlets.tests.utils import check_help_all_output
from jupyter_server.config_manager import BaseJSONConfigManager
fr... |
fc7e33251ad2b3f08da50291d2fb65d5600cd7f6 | e8846f706a428a91659ac6e24974dc696089fe4a | /pandapower/test/timeseries/test_data_source.py | 46d7a690d721c8745f9ee4ecaeff7b94bdf1a8de | [
"BSD-3-Clause"
] | permissive | e2nIEE/pandapower | 3e434bf81b29e9c88905abbd82fd0309e2191ffb | 5592ba1f6fcd727053a37dcf246b9bf36874c24a | refs/heads/develop | 2023-09-03T23:21:25.979973 | 2023-08-31T11:00:17 | 2023-08-31T11:00:17 | 78,748,060 | 608 | 481 | NOASSERTION | 2023-09-14T18:22:08 | 2017-01-12T13:27:53 | Python | UTF-8 | Python | false | false | 1,290 | py | test_data_source.py | # -*- coding: utf-8 -*-
# Copyright (c) 2016-2023 by University of Kassel and Fraunhofer Institute for Energy Economics
# and Energy System Technology (IEE), Kassel. All rights reserved.
import os
import pandas as pd
import pytest
import copy
import pandapower.control
import pandapower.timeseries
from pand... |
6cf79b9ae3f5000310893309f9d3140c4e6c3780 | fbbffcc0c0d689b0bca759c37399374c3772f922 | /weChatApi/testwechatsendfilemessage.py | 0a834fa09b14d404ad4568e0f81507bf40d0b529 | [] | no_license | holdyeah/wechat-pc-hook-python | 147872ce9818541e367319ea63eba40ddbb90ad5 | 763a882de5c8aa4f9bb71855a74e02ee66a9e563 | refs/heads/master | 2023-03-17T06:17:30.988003 | 2023-03-04T08:44:37 | 2023-03-04T08:44:37 | 204,273,242 | 284 | 86 | null | null | null | null | UTF-8 | Python | false | false | 329 | py | testwechatsendfilemessage.py | import requests
import urllib
url = "http://127.0.0.1:2020/file"
test_str = "D:/2.mp4"
test22 = urllib.parse.quote(test_str)
payload='wxid=filehelper&msg='+ test22
print(payload)
headers = {'Content-Type': 'application/x-www-form-urlencoded'}
response = requests.post(url, headers=headers, data=payload)
print(response... |
5f30588fbd449735adae1498b9a396eb12a3bbec | 6f54ba22cf13c8168ecdae96bce068bcc74c1ecc | /uatest/reconnection_server.py | b41efa817d2bfce163644794a420014b20fe833d | [
"MIT"
] | permissive | gopcua/opcua | b318aeea308cb41de1fdb2ea713e747a78ad577d | 10b83a76e2e7eebbdf9417f20f479594da5e5e76 | refs/heads/main | 2023-08-31T09:32:47.680706 | 2023-08-29T12:19:53 | 2023-08-29T12:19:53 | 142,013,463 | 693 | 236 | MIT | 2023-09-05T09:20:41 | 2018-07-23T12:48:35 | Go | UTF-8 | Python | false | false | 2,533 | py | reconnection_server.py | #!/usr/bin/env python3
from opcua import ua, Server
from opcua.common.callback import CallbackType
from opcua.ua.ua_binary import struct_to_binary, header_to_binary
server = None
# HACK: opcua does not support sending error message
def send_error_message(status_code, reason="test bench simulation"):
# take the fir... |
fd7890609838f0a3601716f0bebb0dea1fe526d3 | 028ddc5e85d89c26f8320b70d8ffe80f3d5aec52 | /src/UQpy/surrogates/polynomial_chaos/polynomials/PolynomialsND.py | 31e6a2b5b019efff44463619cfba95f970cdb0a9 | [
"MIT"
] | permissive | SURGroup/UQpy | 3b516706e9072c6fac80da0bdfbd23e2193f5844 | 9e98a6279aa5a2ec2d6d4c61226c34712547bcc6 | refs/heads/master | 2023-09-04T03:38:35.294389 | 2023-08-04T12:55:02 | 2023-08-04T12:55:02 | 112,795,497 | 215 | 70 | MIT | 2023-09-14T14:18:22 | 2017-12-01T23:05:13 | Python | UTF-8 | Python | false | false | 1,868 | py | PolynomialsND.py | import numpy as np
from UQpy.surrogates.polynomial_chaos.polynomials.baseclass.Polynomials import Polynomials
class PolynomialsND(Polynomials):
def __init__(self, distributions, multi_index):
"""
Class for multivariate Wiener-Askey chaos polynomials.
:param distributions: Joint probabil... |
a2a3d4566a563a2654c71a2a872bf537c85604bd | 9f8bfd5e566a6e69beb9d3f695ee048a63237f79 | /nornir/core/plugins/register.py | f28553d69e12a4b5d990dd6a261127db7f998d07 | [
"Apache-2.0"
] | permissive | nornir-automation/nornir | 4ae96909d06210e2493113d6f42f8ed6a91bbe6f | 719b57c770aa72127578a13bbc3162f0b797e54a | refs/heads/main | 2023-08-30T10:30:42.075614 | 2023-08-30T07:39:32 | 2023-08-30T07:39:32 | 76,636,028 | 1,206 | 279 | Apache-2.0 | 2023-08-30T07:39:34 | 2016-12-16T08:27:09 | Python | UTF-8 | Python | false | false | 2,334 | py | register.py | import sys
from typing import Dict, TypeVar, Generic
from nornir.core.exceptions import (
PluginAlreadyRegistered,
PluginNotRegistered,
)
if sys.version_info >= (3, 10):
from importlib import metadata
else:
import importlib_metadata as metadata
T = TypeVar("T")
class PluginRegister(Generic[T]):
... |
d4f623d9d9c8cf5367d396381ca7bfe27e72f724 | 3782e25b6db35d82d63bb81e398deab85ef2236e | /Autocoders/Python/src/fprime_ac/utils/DictTypeConverter.py | e757226a7b8a5f1b99887ea8387b40673215cd49 | [
"Apache-2.0"
] | permissive | nasa/fprime | e0c8d45dfc0ff08b5ef6c42a31f47430ba92c956 | a56426adbb888ce4f5a8c6a2be3071a25b11da16 | refs/heads/devel | 2023-09-03T15:10:33.578646 | 2023-08-29T15:39:59 | 2023-08-29T15:39:59 | 95,114,723 | 10,071 | 1,426 | Apache-2.0 | 2023-09-08T14:31:00 | 2017-06-22T12:45:27 | C++ | UTF-8 | Python | false | false | 2,804 | py | DictTypeConverter.py | import sys
class DictTypeConverter:
def __init__(self):
pass
def convert(self, t, size):
# check for various type variations
type_string = ""
type_name = t
ser_import = None
use_size = not size is None
# check for enums
if isinstance(t, tuple):... |
9d4ad2c5918a03dec5538585b880351eeb33e16c | 620323fc090cebaf7aca456ff3f7fbbe1e210394 | /Decorators__examples/hello_world.py | 38ae2dfa60df4644e2f546afa1941e8c63362aa9 | [
"CC-BY-4.0"
] | permissive | gil9red/SimplePyScripts | bd2733372728bf9b9f00570e90316fa12116516b | 773c2c9724edd8827a1dbd91694d780e03fcb05a | refs/heads/master | 2023-08-31T04:26:09.120173 | 2023-08-30T17:22:59 | 2023-08-30T17:22:59 | 22,650,442 | 157 | 46 | null | 2023-09-08T17:51:33 | 2014-08-05T16:19:52 | Python | UTF-8 | Python | false | false | 738 | py | hello_world.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = "ipetrash"
import functools
def makebold(func):
@functools.wraps(func)
def wrapped(*args, **kwargs):
return "<b>" + func(*args, **kwargs) + "</b>"
return wrapped
def makeitalic(func):
@functools.wraps(func)
def wrapped(*args... |
1a5e21c52a3374d47c21da28dc081385444fbf6f | 46732d613208ee4096fbbd3fd74f22146471d1ce | /wechat-friends_info/weixin朋友城市.py | d5629d3bc30dd56f76a76b99abb87a0b34b2b7e0 | [] | no_license | cassieeric/python_crawler | 7cb02f612382801ae024e2cee70e0c2bcdba927c | 6d2b4db3d34183d729f6fd30555c6d6f04514260 | refs/heads/master | 2022-11-30T20:30:50.031960 | 2022-11-27T02:53:22 | 2022-11-27T02:53:22 | 118,204,154 | 322 | 283 | null | 2022-12-21T09:33:08 | 2018-01-20T03:17:14 | HTML | UTF-8 | Python | false | false | 440 | py | weixin朋友城市.py | # -*- coding: utf-8 -*-
import itchat
import pandas as pd
def get_info():
itchat.login()
friends = itchat.get_friends(update=True)
df_friends = pd.DataFrame(friends)
City = df_friends.City
City_count = City.value_counts()
# 有一些好友地理信息为空，过滤掉这一部分人。
City_count = City_count[City_count.index != '']
... |
b349db98ad26231abf0fd65f1c22a97668220688 | 2c6e9374fe1216a99d833354213ca676407e1197 | /mqtt_as/mqtt_as_timeout.py | 8927ace56289f52cc086542de32292ab7a1224ab | [
"MIT"
] | permissive | peterhinch/micropython-mqtt | 7729d2b00ad2e41440fe278a0aec938537edebf8 | 041b0213caee0d990cb0eb454b9e627bf515edde | refs/heads/master | 2023-09-01T08:37:26.372051 | 2023-08-24T09:52:42 | 2023-08-24T09:52:42 | 94,690,722 | 456 | 118 | MIT | 2023-02-03T14:54:07 | 2017-06-18T14:00:48 | Python | UTF-8 | Python | false | false | 2,173 | py | mqtt_as_timeout.py | # mqtt_as_timeout.py Implementation of a timeout on publication.
# (C) Copyright 2019 Kevin Köck.
# Released under the MIT licence.
# This solution detects the case where a publication is delayed by lack of
# connectivity and cancels it if the delay exceeds a timeout.
# Note that it blocks other attempts at publicat... |
d2f8fd03512c7f457e3ec452968ff07411fae9da | 94c1805df5a09c39159d502f420d19ad54b567fc | /runtime/deps/gyp/test/win/gyptest-asm-files.py | 007b52eb267688b6827356620a8f2a885bf29e20 | [
"Apache-2.0",
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | permissive | tmikov/jscomp | 9805a5a4d06520549c57380f0df4a1c0aa0dab56 | 83828441cb38ec96603a6a60be06977d4852940a | refs/heads/develop | 2021-01-19T02:56:35.102659 | 2016-04-12T06:19:30 | 2016-04-12T06:19:30 | 36,981,674 | 237 | 13 | Apache-2.0 | 2018-10-14T09:48:12 | 2015-06-06T13:49:26 | C | UTF-8 | Python | false | false | 722 | py | gyptest-asm-files.py | #!/usr/bin/env python
# Copyright (c) 2012 Google Inc. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
Make sure .s files aren't passed to cl.
"""
import TestGyp
import sys
if sys.platform == 'win32':
test = TestGyp.TestGyp(formats=['... |
b4c7d34e7a25100f6cc72b599a28f27178c51a4a | 43c870b240a807db330a7abf53758c1fef924432 | /cloudkitty/api/v1/__init__.py | 1f1cfcb74b06e4d7ac7a3f3d3cf2968268ae879f | [
"Apache-2.0"
] | permissive | openstack/cloudkitty | fb3cb83d8d89b27efe64768862f07781a2ef3b5a | 94630b97cd1fb4bdd9a638070ffbbe3625de8aa2 | refs/heads/master | 2023-08-31T15:10:44.524252 | 2023-08-23T16:27:35 | 2023-08-23T20:01:01 | 20,042,606 | 103 | 57 | Apache-2.0 | 2017-11-29T15:39:28 | 2014-05-22T00:52:38 | Python | UTF-8 | Python | false | false | 1,694 | py | __init__.py | # Copyright 2018 Objectif Libre
#
# 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 agr... |
b86d091d5840e02a11baafdd3c70f06fd51428d6 | bbfc9f05efefe29b6ce9832bb3506efb900c1c93 | /tests/integration/cvm/test_describe_instances_common_client.py | 4b46898144887b42b0e3e46aa6681c12a8d9781e | [
"Apache-2.0"
] | permissive | TencentCloud/tencentcloud-sdk-python | a2fab235926b0a27e9cfdf55e085a8bb15b3f506 | 6baf00a5a56ba58b6a1123423e0a1422d17a0201 | refs/heads/master | 2023-09-04T10:52:28.060438 | 2023-09-01T03:09:16 | 2023-09-01T03:09:16 | 130,147,399 | 594 | 300 | Apache-2.0 | 2023-09-06T07:03:24 | 2018-04-19T02:23:12 | Python | UTF-8 | Python | false | false | 483 | py | test_describe_instances_common_client.py | # -*- coding: utf8 -*-
import os
from tencentcloud.common import credential
from tencentcloud.common.common_client import CommonClient
def test_describe_instances():
cred = credential.Credential(
os.environ.get("TENCENTCLOUD_SECRET_ID"),
os.environ.get("TENCENTCLOUD_SECRET_KEY"))
client = Co... |
834ab86782541177a9362fa79ae2658df2240153 | f576f0ea3725d54bd2551883901b25b863fe6688 | /sdk/eventhub/azure-eventhub-checkpointstoreblob/azure/eventhub/extensions/checkpointstoreblob/_vendor/storage/blob/_generated/models/_azure_blob_storage_enums.py | 2df7b1ad6219c5d1b4156c9741e71bf46f189e43 | [
"MIT",
"LicenseRef-scancode-generic-cla",
"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 | 12,339 | py | _azure_blob_storage_enums.py | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... |
77d5c6cfaab90084443347a86e80d377ce912af9 | 1228750f9b95c5c2fb9a1d5cb339275db979356b | /petridish/data/misc.py | 7d0300014373746a9be4932f5560a3fb1acf8ca1 | [
"MIT"
] | permissive | microsoft/petridishnn | be0236b9385c7523ca71cfd171f95beaca5d851a | 0e0431a56db893ef8ee14501f12bf7046d4d6024 | refs/heads/master | 2023-06-29T20:58:01.980267 | 2023-06-12T18:22:32 | 2023-06-12T18:22:32 | 180,651,701 | 123 | 24 | MIT | 2023-06-12T18:22:33 | 2019-04-10T19:39:36 | Python | UTF-8 | Python | false | false | 4,116 | py | misc.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import numpy as np
import scipy.io.arff as arff
import bisect
import os, sys
import json
from tensorpack.dataflow import RNGDataFlow, BatchData, PrefetchData, imgaug
from tensorpack.callbacks import Inferencer
def preprocess_data_flow(ds, optio... |
1f230d7edf05fca8047a87b3298d5200e7752e67 | abb035c51b15464d2caa454ecc439b883a726c59 | /utils.py | 1693bfeeed7195c82edb09f8ac9a28aabf6c67f6 | [
"Apache-2.0"
] | permissive | allenai/tpu_pretrain | 03c2532882a48ae5bfd533b423cb90ba778b5918 | 10e8f262b9a28d3bef51a103ce6f7003e8bc19a9 | refs/heads/master | 2023-07-07T12:39:20.609724 | 2019-10-24T00:41:57 | 2019-10-24T00:41:57 | 207,008,877 | 136 | 13 | Apache-2.0 | 2019-10-24T00:41:58 | 2019-09-07T18:21:12 | Python | UTF-8 | Python | false | false | 12,675 | py | utils.py | from argparse import ArgumentParser
import os
from pathlib import Path
import shutil
import glob
import logging
import json
import random
import numpy as np
from tempfile import TemporaryDirectory
from collections import namedtuple
from tqdm import tqdm
import torch
from torch.utils.data import Dataset
from pytorch_tra... |
ba8205e9cb9a6efc3ece9b373d132ef0947499bc | f314fb70c20eee3baf5dc7b7258964e4ff6a397b | /vidaug/augmentors/group.py | 560ed2b9d4064295199ddf1034fe945931a4af61 | [
"MIT"
] | permissive | okankop/vidaug | 14d11942c8d6cbc0ea27430885585435529e1481 | 1c1ddf2640fe4a9171267d64ae5e3bd70c24d54a | refs/heads/master | 2021-10-11T11:50:49.620375 | 2021-09-27T09:05:27 | 2021-09-27T09:05:27 | 136,959,442 | 357 | 81 | MIT | 2021-10-05T18:45:16 | 2018-06-11T17:32:27 | Python | UTF-8 | Python | false | false | 3,704 | py | group.py | """
Augmenters that apply to a group of augmentations, like selecting
an augmentation from a list, or applying all the augmentations in
a list sequentially
To use the augmenters, clone the complete repo and use
`from vidaug import augmenters as va`
and then e.g. :
seq = va.Sequential([ va.HorizontalFlip(),
... |
ecb0b24546e423dfae1b9f49a7fa4c2931508e3e | 1e1f444c97bfef8c6831b820822cc94c89b8c20a | /mlfinlab/networks/graph.py | b2d247c8d9afbae846400f2e96bad33c7aed73e8 | [
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | hudson-and-thames/mlfinlab | 4fa7be033a7be9725a577fd25e1d590648eb344b | 79dcc7120ec84110578f75b025a75850eb72fc73 | refs/heads/master | 2023-03-28T11:58:55.171692 | 2021-12-01T08:04:50 | 2021-12-01T08:04:50 | 170,544,934 | 3,763 | 1,024 | NOASSERTION | 2023-03-25T00:52:55 | 2019-02-13T16:57:25 | Python | UTF-8 | Python | false | false | 2,741 | py | graph.py | """
This file contains Graph classes, which create NetworkX's Graph objects from matrices.
"""
from abc import ABC
import networkx as nx
from matplotlib import pyplot as plt
class Graph(ABC):
"""
This Graph class is a parent class for different types of graphs such as a MST.
"""
def __init__(self, ... |
7908b622d4f80e5d98b4db86b3abaff6ab867a61 | 98c372a42cb7f04ad52e6630c0bb3d1eecd30e16 | /testing/test_python.py | bad2904a81687e53411e32535093f051d218481b | [
"Apache-2.0"
] | permissive | zippy84/vtkbool | 73b9e6bd78ad1798e6aebf178025f5fe46500c7f | dca2f7cc9a242f5c33482ca7bbf6afa3bd4c0c7c | refs/heads/master | 2023-09-05T02:58:37.643374 | 2023-08-31T20:45:22 | 2023-08-31T20:45:22 | 14,350,407 | 129 | 38 | Apache-2.0 | 2022-08-21T20:26:51 | 2013-11-13T01:25:57 | C++ | UTF-8 | Python | false | false | 1,069 | py | test_python.py | #!/usr/bin/env python
# *-* coding: UTF-8 *-*
# Copyright 2012-2023 Ronald Römer
#
# 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 ... |
3cbca638e76cf2391859bb1a6b4b24da6c46f664 | 0744dcc5394cebf57ebcba343747af6871b67017 | /external/iotivity/iotivity_1.2-rel/resource/csdk/security/unittest/SConscript | 3c3339eef416c86db9c14b623dd8594ba79bd5d8 | [
"Apache-2.0",
"GPL-2.0-only",
"MIT",
"BSD-3-Clause"
] | permissive | Samsung/TizenRT | 96abf62f1853f61fcf91ff14671a5e0c6ca48fdb | 1a5c2e00a4b1bbf4c505bbf5cc6a8259e926f686 | refs/heads/master | 2023-08-31T08:59:33.327998 | 2023-08-08T06:09:20 | 2023-08-31T04:38:20 | 82,517,252 | 590 | 719 | Apache-2.0 | 2023-09-14T06:54:49 | 2017-02-20T04:38:30 | C | UTF-8 | Python | false | false | 6,200 | SConscript | # //******************************************************************
# //
# // Copyright 2015 Intel Mobile Communications GmbH All Rights Reserved.
# //
# //-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
# //
# // Licensed under the Apache License, Version 2.0 (the "License");
# // you may not use t... | |
f865ba70bf49a81592ed92375186c24baeffb443 | 6c8305ea1df9687df1c0d2b0ace56733516c6322 | /readthedocs/telemetry/migrations/0001_initial.py | 6171a9529b80dbedab536e69692b403fcc2251fb | [
"MIT"
] | permissive | readthedocs/readthedocs.org | 9806083aa744c2308267919480a692e1e003e45d | bf88ce6d1085d922322a5fadce63a22c5544c830 | refs/heads/main | 2023-09-05T20:22:34.281891 | 2023-09-05T12:41:52 | 2023-09-05T12:41:52 | 841,835 | 2,894 | 1,509 | MIT | 2023-09-14T20:36:00 | 2010-08-16T19:18:06 | Python | UTF-8 | Python | false | false | 1,234 | py | 0001_initial.py | # Generated by Django 3.2.13 on 2022-04-26 18:56
import django_extensions.db.fields
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = []
operations = [
migrations.CreateModel(
name="BuildData",
fields=[
... |
d12b47d47318c55d50a40b9a5530e2b25099b786 | 863bfa36852b84e2e2834abb67171e37d48b9b81 | /returns/contrib/mypy/_structures/types.py | df9a004fdf1ba4b70850adf69b6f188f2328c718 | [
"BSD-2-Clause"
] | permissive | dry-python/returns | 33f763a34439cb6aa5419f16c6f45f27610d82d4 | ae8d9ffaf20c459296337b78ba5ecb2f98870f61 | refs/heads/master | 2023-09-04T07:33:39.768675 | 2023-09-01T20:45:59 | 2023-09-01T20:45:59 | 167,689,891 | 2,967 | 130 | BSD-2-Clause | 2023-09-11T15:18:58 | 2019-01-26T13:08:38 | Python | UTF-8 | Python | false | false | 214 | py | types.py | from typing import Union
from mypy.plugin import FunctionContext, MethodContext
#: We treat them equally when working with functions or methods.
CallableContext = Union[
FunctionContext,
MethodContext,
]
|
371ee716165321bc2506620e672541e8e7634a18 | 10dde921afb622b58054260ccddb61ca1c1fb3a7 | /mask2polygons.py | 3741623674c6e4ddd7b74f14f54948e26e5c01b4 | [] | no_license | ryouchinsa/Rectlabel-support | db8d4e995405f28a66dc717cc37c1a513a05cbce | 6a328c93deaf9725ecfd322d70559ef0295aa084 | refs/heads/master | 2023-09-04T17:41:07.799819 | 2023-09-02T10:39:54 | 2023-09-02T10:39:54 | 86,496,548 | 486 | 76 | null | 2023-05-04T05:08:25 | 2017-03-28T19:00:03 | Python | UTF-8 | Python | false | false | 657 | py | mask2polygons.py | import cv2
import numpy as np
mask_path = 'grayscale_mask.png'
image = cv2.imread(mask_path, cv2.IMREAD_GRAYSCALE)
h, w = image.shape
line_width = int((h + w) * 0.5 * 0.0025)
contours, _ = cv2.findContours(image, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_KCOS)
contours_approx = []
polygons = []
for contour in contours... |
4bf89c7dde8de8e2cd59533d924fc5e6db0aab80 | e4fb3fba8bab17ab18587ce1dfa8414fa4074cdb | /partition/visualize.py | 56b7c6743bd83a7fb864094284db73557d73ad68 | [
"MIT"
] | permissive | loicland/superpoint_graph | 787f60a367cafdbd79b6b35d11f464e1b3de4488 | 0209777339327c9b327b6947af6c89b20bb45981 | refs/heads/ssp+spg | 2023-08-03T17:14:45.417753 | 2023-07-19T20:50:48 | 2023-07-19T20:50:48 | 111,715,635 | 747 | 241 | MIT | 2023-07-19T20:50:49 | 2017-11-22T17:52:02 | Python | UTF-8 | Python | false | false | 5,663 | py | visualize.py | """
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
http://arxiv.org/abs/1711.09869
2017 Loic Landrieu, Martin Simonovsky
this functions outputs varied ply file to visualize the different steps
"""
import os.path
import numpy as np
import argparse
import sys
sys.path.append("./part... |
db1d50f9d980d330c4dc6b2adc80f414d2444af1 | 59a05ac6f169fbc5a98a76707b4c31ea446e5d6a | /examples/kinematic_styles.py | 32dcb73f1aeb79043c9abda5440303602f0826ce | [
"MIT"
] | permissive | joferkington/mplstereonet | 68afd6d3585e19257f70103a2d43eb3a9ceff6b1 | 89a3b5a028703452bfc5dbfc3d77af355f645485 | refs/heads/master | 2023-01-06T02:06:45.078929 | 2022-12-29T23:05:50 | 2022-12-29T23:05:50 | 4,018,357 | 143 | 55 | MIT | 2022-12-29T23:05:51 | 2012-04-13T17:16:28 | Python | UTF-8 | Python | false | false | 1,872 | py | kinematic_styles.py | """
Demonstrating more control on the parameters (e.g. friction angle and lateral
limits) of the analysis and plotting style for planar sliding and toppling
failure. Similar for wedge failure.
"""
import matplotlib.pyplot as plt
import mplstereonet
import mplstereonet.kinematic_analysis as kinematic
# Set up the a... |
e86906546d5709bb143c540a3d02b9fb77e10673 | 27b86f422246a78704e0e84983b2630533a47db6 | /tests/test_05_tools/test_534_dwg_info.py | 3b9e92c3d0eced9c637c8286aceef1c82a2dbdfa | [
"MIT"
] | permissive | mozman/ezdxf | 7512decd600896960660f0f580cab815bf0d7a51 | ba6ab0264dcb6833173042a37b1b5ae878d75113 | refs/heads/master | 2023-09-01T11:55:13.462105 | 2023-08-15T11:50:05 | 2023-08-15T12:00:04 | 79,697,117 | 750 | 194 | MIT | 2023-09-14T09:40:41 | 2017-01-22T05:55:55 | Python | UTF-8 | Python | false | false | 988 | py | test_534_dwg_info.py | # Copyright (c) 2022, Manfred Moitzi
# License: MIT License
import pytest
from ezdxf.dwginfo import dwg_info
R12 = "41 43 31 30 30 39"
R2000 = "41 43 31 30 31 35"
R2018 = "41 43 31 30 33 32"
R20XX = "41 43 31 30 33 33"
unknown1 = "32 32 31 30 33 32"
unknown2 = ""
def data(s) -> bytes:
return bytes(int(x, 16) ... |
fede20e0b036ccaf8efcd9c0e757fd5781bc174b | f324cd2cbebd303fd34cd2e26fe1a51c44202d55 | /test/acceptance/test_cli.py | dbe2cf42a290cd8019fb7705d1c6be5f689eaa1b | [
"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 | 5,707 | py | test_cli.py | import unittest
from pathlib import Path
import json
import subprocess
import sys
class TestCLI(unittest.TestCase):
if sys.version_info <= (3,):
def assertRegex(self, string, pattern):
return super(TestCLI, self).assertRegexpMatches(string, pattern)
def assertReturnedStdoutEqual(self, ex... |
3f4924f2b8935823d10794ee379085b65107da42 | 1742b6719b988e5519373002305e31d28b8bd691 | /sdk/python/pulumi_aws/sagemaker/device.py | 08660dc770390e2d180cb913ee62c081571807d9 | [
"MPL-2.0",
"BSD-3-Clause",
"Apache-2.0"
] | permissive | pulumi/pulumi-aws | 4f7fdb4a816c5ea357cff2c2e3b613c006e49f1a | 42b0a0abdf6c14da248da22f8c4530af06e67b98 | refs/heads/master | 2023-08-03T23:08:34.520280 | 2023-08-01T18:09:58 | 2023-08-01T18:09:58 | 97,484,940 | 384 | 171 | Apache-2.0 | 2023-09-14T14:48:40 | 2017-07-17T14:20:33 | Java | UTF-8 | Python | false | false | 11,104 | py | device.py | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import copy
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
fr... |
ce340b629000a517bc21617bdcb6fd2702cd8c60 | a5a99f646e371b45974a6fb6ccc06b0a674818f2 | /CondCore/CondHDF5ESSource/scripts/condhdf5tohdf5.py | 470febaa9bdddce527ecaad9d242d40a97c1c14f | [
"Apache-2.0"
] | permissive | cms-sw/cmssw | 4ecd2c1105d59c66d385551230542c6615b9ab58 | 19c178740257eb48367778593da55dcad08b7a4f | refs/heads/master | 2023-08-23T21:57:42.491143 | 2023-08-22T20:22:40 | 2023-08-22T20:22:40 | 10,969,551 | 1,006 | 3,696 | Apache-2.0 | 2023-09-14T19:14:28 | 2013-06-26T14:09:07 | C++ | UTF-8 | Python | false | false | 5,461 | py | condhdf5tohdf5.py | #!/usr/bin/env python3
import argparse
import sys
import logging
import copy
import h5py
import numpy as np
from collections import OrderedDict
import zlib
import lzma
from CondCore.CondHDF5ESSource.hdf5Writer import writeH5File
#Global tags hold a list of Tags
# Tags give the
# record name,
# list of data p... |
5d61c32bcfc60573f79893c7ef237c5e5f909424 | a5a99f646e371b45974a6fb6ccc06b0a674818f2 | /RecoTracker/SiTrackerMRHTools/python/SiTrackerMultiRecHitUpdator_cfi.py | 1c68e75127c60c25a2b54632d350e558f1679f7d | [
"Apache-2.0"
] | permissive | cms-sw/cmssw | 4ecd2c1105d59c66d385551230542c6615b9ab58 | 19c178740257eb48367778593da55dcad08b7a4f | refs/heads/master | 2023-08-23T21:57:42.491143 | 2023-08-22T20:22:40 | 2023-08-22T20:22:40 | 10,969,551 | 1,006 | 3,696 | Apache-2.0 | 2023-09-14T19:14:28 | 2013-06-26T14:09:07 | C++ | UTF-8 | Python | false | false | 570 | py | SiTrackerMultiRecHitUpdator_cfi.py | import FWCore.ParameterSet.Config as cms
siTrackerMultiRecHitUpdator = cms.ESProducer("SiTrackerMultiRecHitUpdatorESProducer",
ComponentName = cms.string('SiTrackerMultiRecHitUpdator'),
TTRHBuilder = cms.string('WithAngleAndTemplate'),
HitPropagator = cms.string('trackingRecHitPropagator'),
#AnnealingP... |
f88601ec913a399405997749144e8367643651cf | 8bd6ebb097edf536db657c963247bbf493cbba52 | /cmasher/colormaps/savanna/savanna.py | d1a88d54554b64148314511555e55b845d30f5ed | [
"BSD-3-Clause"
] | permissive | 1313e/CMasher | 3a5f70b2238a2f4494de60d492c71b5fa1da1630 | 1e76ef900557e1a3aa40a7fe85a356d296f8379b | refs/heads/master | 2023-08-22T10:51:44.778752 | 2021-11-30T12:20:02 | 2021-11-30T12:20:02 | 222,056,142 | 346 | 28 | BSD-3-Clause | 2023-08-07T16:59:40 | 2019-11-16T06:15:58 | Python | UTF-8 | Python | false | false | 13,142 | py | savanna.py | # %% IMPORTS
# Package imports
from matplotlib.cm import register_cmap
from matplotlib.colors import ListedColormap
# All declaration
__all__ = ['cmap']
# Author declaration
__author__ = "Ellert van der Velden (@1313e)"
# Package declaration
__package__ = 'cmasher'
# %% GLOBALS AND DEFINITIONS
# Type of this color... |
e2b46bb6c93b0e0e75c9e206f7db7d5236b4ca84 | bb33e6be8316f35decbb2b81badf2b6dcf7df515 | /source/res/scripts/client/gui/battle_results/reusable/economics.py | e52048ccc4ad11d6f74727c934d3bdfe4efd56c5 | [] | 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 | 23,914 | py | economics.py | # Python bytecode 2.7 (decompiled from Python 2.7)
# Embedded file name: scripts/client/gui/battle_results/reusable/economics.py
import typing
import itertools
from collections import namedtuple
from constants import PREMIUM_TYPE, ARENA_BONUS_TYPE
from gui.battle_results.reusable import shared
from gui.battle_results.r... |
474e694a47d4b0fa66865715ac0a4e90c210b698 | 493d86071bb96ef33a38623a144fe55e49a0aa44 | /socceraction/data/opta/parsers/f9_json.py | 5d6b66966fcb0de68d90cfafb5f41a9d0c880979 | [
"MIT"
] | permissive | ML-KULeuven/socceraction | 3b8d2411333114436239850d02278785ea0ed83b | 1261a31cf99d0c9a819b67f568549aa47df83f08 | refs/heads/master | 2023-08-31T02:25:42.349813 | 2023-08-30T08:53:01 | 2023-08-30T08:53:01 | 194,881,505 | 517 | 131 | MIT | 2023-09-14T09:46:42 | 2019-07-02T14:38:30 | Python | UTF-8 | Python | false | false | 11,898 | py | f9_json.py | """JSON parser for Opta F9 feeds."""
from datetime import datetime
from typing import Any, Dict, List, Optional, Tuple
from ...base import MissingDataError
from .base import OptaJSONParser, assertget
class F9JSONParser(OptaJSONParser):
"""Extract data from a Opta F9 data stream.
Parameters
----------
... |
7438a6554c52f8ef8f6930f8e44a0bd8c9012dc0 | 568a2667a1b6ec33a0dec9ac01844ef74e11ab2b | /landlab/utils/window_statistic.py | 9d9fe118463b6eb83b9adcaf9bfb52a6b4e61c48 | [
"MIT"
] | permissive | landlab/landlab | 0bcc9b7b1d8c4d7f79bad687e1526b80ebc83728 | 1cd72e5832ece1aa922cd1b239e2e94ed0f11f8b | refs/heads/master | 2023-08-31T07:24:21.545523 | 2023-08-29T18:51:06 | 2023-08-29T18:51:06 | 19,599,383 | 326 | 313 | MIT | 2023-09-14T19:12:23 | 2014-05-09T04:52:50 | Python | UTF-8 | Python | false | false | 8,643 | py | window_statistic.py | """Function to calculate node statistics in a moving window."""
import numpy as np
from landlab import FieldError
def calculate_window_statistic(
grid, field, func, search_radius, calc_on_closed_nodes=True, **kwargs
):
"""Calculate a statistic using a function within a search window.
.. note::
... |
d2449e6fbaca8d369761f09997a6603b8c279e2e | e07fc7e64c91c4026d931528a41b67b3eb5918c2 | /rl_agents/trainer/graphics.py | f5e6c79ab93537c2d53e78fdb29f4536bf08bdbe | [
"MIT"
] | permissive | eleurent/rl-agents | 18a854f753780d80945048c9a7fb4dc63ea885f6 | 63d3734123fffcfcc84d9fc84195256a94d74638 | refs/heads/master | 2023-08-15T05:05:13.132900 | 2023-07-25T10:12:06 | 2023-07-25T10:12:06 | 93,446,064 | 490 | 150 | MIT | 2023-08-07T13:16:32 | 2017-06-05T20:53:59 | Python | UTF-8 | Python | false | false | 670 | py | graphics.py | from __future__ import division, print_function
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
sns.set()
class RewardViewer(object):
def __init__(self):
self.rewards = []
def update(self, reward):
self.rewards.append(reward)
self.display()
def display(s... |
27b72da12a82d98a13c42143da209e0955352063 | fe85b4811c93510006b666858d6029156f167f89 | /bin/mtag/audio-bpm.py | d7f2c1c54a2ca243538fcf08e12450dbac859f62 | [
"MIT",
"GPL-1.0-or-later",
"LGPL-2.0-or-later",
"GPL-1.0-only",
"GPL-3.0-only",
"GPL-2.0-only",
"Artistic-2.0"
] | permissive | 9001/copyparty | 39207421ccdc501566105da562a168996e0f9b4c | 48a3898aa692770735a926b0c18300d7da8b021f | refs/heads/hovudstraum | 2023-08-18T15:19:36.934124 | 2023-08-16T19:57:19 | 2023-08-16T19:57:19 | 188,700,274 | 273 | 21 | MIT | 2023-08-09T20:50:27 | 2019-05-26T15:28:33 | Python | UTF-8 | Python | false | false | 2,033 | py | audio-bpm.py | #!/usr/bin/env python
import os
import sys
import vamp
import tempfile
import numpy as np
import subprocess as sp
from copyparty.util import fsenc
"""
dep: vamp
dep: beatroot-vamp
dep: ffmpeg
"""
# save beat timestamps to ".beats/filename.txt"
SAVE = False
def det(tf):
# fmt: off
sp.check_call([
... |
a8f0a3ac18fdba5b5fc2da221958540a8e1436b8 | a88b87b745ba50287c0d44dc6ac06b4f3a27624a | /C++指标计算引擎/py版本/hqchartpy2_tushare_test.py | 7d680626d648c72db987aac8b994edce76c3a4de | [
"Apache-2.0"
] | permissive | jones2000/HQChart | 1739d93300babbb3967d8cb1746bbcc49432a1ee | 3e490ccc044aa41c240fbb9b913a764419fd9e99 | refs/heads/master | 2023-09-04T00:20:02.134641 | 2023-09-01T02:09:02 | 2023-09-01T02:09:02 | 125,995,921 | 2,675 | 716 | Apache-2.0 | 2023-05-17T04:57:55 | 2018-03-20T09:51:48 | JavaScript | UTF-8 | Python | false | false | 3,357 | py | hqchartpy2_tushare_test.py | #############################################################
## hqchartPy2使用tushare数据对接测试用例
##
##
#############################################################
from hqchartpy2_fast import FastHQChart,PERIOD_ID
from hqchartpy2_pandas import HQChartPy2Helper
from hqchartpy2_tushare import TushareHQChartData, TushareKLo... |
3aaac58ab339aa65c57a500455b92da9cc8ba6f0 | a00ceae7fc625dc8a76341f32c76569090ca8489 | /examples/low_level/login_with_auth.py | c11aa9f2cb48d0e08b58f8f741acf64ec4aa9e59 | [
"MIT"
] | permissive | pycontribs/jenkinsapi | 23be879b284437f1b061dede69d782634da3c171 | 44942789b912de3d4952cc3c517562e92259a409 | refs/heads/master | 2023-08-28T16:43:22.641088 | 2023-06-16T09:18:19 | 2023-08-19T03:18:18 | 3,111,557 | 606 | 335 | MIT | 2023-08-19T03:18:20 | 2012-01-05T16:43:13 | Python | UTF-8 | Python | false | false | 245 | py | login_with_auth.py | """
A lower level example of how we login with authentication
"""
from __future__ import print_function
from jenkinsapi import jenkins
J = jenkins.Jenkins("http://localhost:8080", username="sal", password="foobar")
J.poll()
print(J.items())
|
ecb83fa2a24f223c29e6cb3ed024bec5675935c6 | 532e3f4530353fdf9b6befb8a88c1dd450f42c36 | /query_freshness.py | 8dca2fd511817a6d033b02b61c5a5b5de8a3139f | [
"BSD-3-Clause"
] | permissive | DataDog/Miscellany | 9aad31b7ac2d635c1a9dd9af8f4ab927c9914e3a | b55849ab0b2ec95642d4082a834218b32276884e | refs/heads/master | 2023-08-10T20:20:41.437060 | 2022-09-23T06:40:40 | 2022-09-23T06:40:40 | 48,389,989 | 204 | 149 | BSD-3-Clause | 2023-07-21T13:35:55 | 2015-12-21T19:27:04 | Python | UTF-8 | Python | false | false | 1,052 | py | query_freshness.py | #########################################################################
#Use a cronjob to submit regularily the Metric
#
#crontab -e
#(vim) */1 * * * * cd <path_to_the_script> ; python query_freshness.py
#(vim) !wq
#crontab -l
#########... |
cfae5aaa39347e3afae3a3677dac804417e18929 | a5a99f646e371b45974a6fb6ccc06b0a674818f2 | /Validation/RecoHI/test/step2_RAW2DIGI_RECO_VALIDATION.py | 96c7aaeaed22b4dad06089c925c99a36941413d1 | [
"Apache-2.0"
] | permissive | cms-sw/cmssw | 4ecd2c1105d59c66d385551230542c6615b9ab58 | 19c178740257eb48367778593da55dcad08b7a4f | refs/heads/master | 2023-08-23T21:57:42.491143 | 2023-08-22T20:22:40 | 2023-08-22T20:22:40 | 10,969,551 | 1,006 | 3,696 | Apache-2.0 | 2023-09-14T19:14:28 | 2013-06-26T14:09:07 | C++ | UTF-8 | Python | false | false | 2,680 | py | step2_RAW2DIGI_RECO_VALIDATION.py | # Auto generated configuration file
# using:
# Revision: 1.173
# Source: /cvs_server/repositories/CMSSW/CMSSW/Configuration/PyReleaseValidation/python/ConfigBuilder.py,v
# with command line options: step2 -s RAW2DIGI,RECO,VALIDATION -n 2 --filein file:step1_HLT.root --eventcontent RECOSIM --conditions MC_37Y_V0::All... |
f760f3bdf68bed0862c4a586d78be0f11e67a2f1 | fbbe424559f64e9a94116a07eaaa555a01b0a7bb | /pytorch/source/caffe2/python/models/__sym_init__.py | 79f045879ebcd445282402b560e651e0a289c283 | [
"MIT"
] | permissive | ryfeus/lambda-packs | 6544adb4dec19b8e71d75c24d8ed789b785b0369 | cabf6e4f1970dc14302f87414f170de19944bac2 | refs/heads/master | 2022-12-07T16:18:52.475504 | 2022-11-29T13:35:35 | 2022-11-29T13:35:35 | 71,386,735 | 1,283 | 263 | MIT | 2022-11-26T05:02:14 | 2016-10-19T18:22:39 | Python | UTF-8 | Python | false | false | 639 | py | __sym_init__.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
from caffe2.proto import caffe2_pb2
def _parseFile(filename):
out_net = caffe2_pb2.NetDef()
# TODO(bwasti): A more robust handler for pathnames.
di... |
63305545ad7f1d1d3c797317cad5e910a8d49e9d | bb33e6be8316f35decbb2b81badf2b6dcf7df515 | /source/res/scripts/client/gui/Scaleform/daapi/view/meta/MissionsPremiumViewMeta.py | 1199ef1cfbe5aa394c443abd645494a2289f1968 | [] | 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 | 292 | py | MissionsPremiumViewMeta.py | # Python bytecode 2.7 (decompiled from Python 2.7)
# Embedded file name: scripts/client/gui/Scaleform/daapi/view/meta/MissionsPremiumViewMeta.py
from gui.Scaleform.daapi.view.meta.MissionsViewBaseMeta import MissionsViewBaseMeta
class MissionsPremiumViewMeta(MissionsViewBaseMeta):
pass
|
482149c3df0a65bb8eb5f7181744e79c082227e1 | 5fa348b53191cc8d8cb8df2d213d1a0d1a07a820 | /hls4ml/utils/plot.py | e3424bb1ad53bacfdafa38a8ac947d159f94d2ea | [
"Apache-2.0"
] | permissive | fastmachinelearning/hls4ml | 29496536ca5a63a51e009d246019680bd4950007 | 4b4b5a0cf0bc59801e94b2bb64d63d8734645c3b | refs/heads/main | 2023-08-31T15:52:18.564650 | 2023-08-28T22:57:50 | 2023-08-28T23:25:36 | 108,329,371 | 562 | 199 | Apache-2.0 | 2023-09-13T17:19:05 | 2017-10-25T21:43:56 | C++ | UTF-8 | Python | false | false | 8,204 | py | plot.py | # Heavily inspired by Keras's plot_model
"""Utilities related to model visualization."""
import os
import sys
try:
import pydot
except ImportError:
pydot = None
def check_pydot():
"""Returns True if PyDot and Graphviz are available."""
if pydot is None:
return False
try:
# Attemp... |
e496a6013e2a0cc0cd6ba3f344f5d669f1b070ff | d8aabbc108b074817cb05eba4acff68d4f5c2d6c | /tensorwatch/saliency/deeplift.py | f8e208550933cea4c2a8c36fcad0927c272d4083 | [
"MIT",
"BSD-2-Clause",
"LGPL-2.1-or-later",
"BSD-3-Clause",
"LicenseRef-scancode-free-unknown",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | microsoft/tensorwatch | e5e868795bd1536f9f2e3cb56b34a97a82e6704e | f59730dc7a8735232ef417685800652372c3b5dd | refs/heads/master | 2023-06-29T21:52:27.900779 | 2023-06-12T18:21:59 | 2023-06-12T18:21:59 | 186,783,422 | 3,626 | 394 | MIT | 2023-08-30T06:59:14 | 2019-05-15T08:29:34 | Jupyter Notebook | UTF-8 | Python | false | false | 2,713 | py | deeplift.py | from .backprop import GradxInputExplainer
import types
import torch.nn.functional as F
from torch.autograd import Variable
# Based on formulation in DeepExplain, https://arxiv.org/abs/1711.06104
# https://github.com/marcoancona/DeepExplain/blob/master/deepexplain/tensorflow/methods.py#L221-L272
class DeepLIFTRescaleEx... |
fc2ee86d9a38b0a5a44fde05a276bf29d7bb63de | b71a6e7050b0a4368007350d91ee078288a7318c | /examples/1_tree.py | 937d410963c8ec297194da5252ab5abe8b933597 | [
"Apache-2.0"
] | permissive | jarvisteach/appJar | 2dfd0da6cb85ea3535379ed000efd97fb42fe4f8 | 0b59ce041da2197dcff3410e20f298676f1f7266 | refs/heads/appJar | 2023-08-29T09:42:01.812005 | 2019-09-28T18:34:06 | 2019-09-28T18:34:06 | 39,996,518 | 696 | 103 | NOASSERTION | 2023-02-20T01:01:16 | 2015-07-31T08:59:20 | Python | UTF-8 | Python | false | false | 371 | py | 1_tree.py | import sys
sys.path.append("../")
from appJar import gui
def press(btn): print(btn)
def press2(btn): print("EDIT", btn)
app=gui()
data="<people><person><name>Richard</name><age>21</age></person><person><name>kh</name><age>44</age></person></people>"
app.addTree("tree", data)
app.setTreeDoubleClickFunction("tree", press... |
32b3fb2fa1b74fa2ccb36c9b553574e0f7125450 | 368960cc5dc09284dff33129b2b8c31773705b81 | /src/icalendar/cal.py | 35a288bfffe8f490caabc473a9bd25aed3c3f9f4 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | permissive | collective/icalendar | 802f70ecaa325cc5a8ce65e0c41bfcbdccf0a97b | 8fb3353408df94d54b74a7e05586fd6c99eed7ef | refs/heads/master | 2023-09-01T08:50:59.574456 | 2023-08-31T06:05:59 | 2023-08-31T06:05:59 | 2,222,138 | 716 | 166 | NOASSERTION | 2023-09-06T17:54:06 | 2011-08-17T14:16:35 | Python | UTF-8 | Python | false | false | 26,597 | py | cal.py | """Calendar is a dictionary like Python object that can render itself as VCAL
files according to rfc2445.
These are the defined components.
"""
from datetime import datetime, timedelta
from icalendar.caselessdict import CaselessDict
from icalendar.parser import Contentline
from icalendar.parser import Contentlines
fro... |
47578e8c9a4c34c9af096881f360db701ba24c9d | 576764ad37667f8da2c63aaa1a9f96da211795a6 | /tests/forte/data/datapack_type_infer_test.py | c2949f896adaa2c4e31102b30bbfbea84c815208 | [
"Apache-2.0"
] | permissive | asyml/forte | 96f852601647836dda3bccf3bd7900b9d10e6fcb | 13e50aebe2afd79a7a8b3c01f0bb2568addea54f | refs/heads/master | 2023-04-09T17:52:31.203644 | 2023-04-06T15:04:49 | 2023-04-06T15:04:49 | 201,518,876 | 233 | 73 | Apache-2.0 | 2023-04-06T15:04:51 | 2019-08-09T18:12:12 | Python | UTF-8 | Python | false | false | 1,486 | py | datapack_type_infer_test.py | import unittest
from ddt import data, ddt
from forte.data.caster import MultiPackBoxer, MultiPackUnboxer
from forte.data.data_pack import DataPack
from forte.data.multi_pack import MultiPack
from forte.data.readers.misc_readers import RawPackReader, RawMultiPackReader
from forte.data.readers.multipack_sentence_reader ... |
e198cc386a775751d9de1fbdba4acf6f48e18287 | 45ba55b4fbdaf1657fde92beaeba4f173265afcd | /tests/extensions/test_custom_objects_for_setting_attribute.py | 48a4b0ea4962ea9e4f40a4dbedf65dcdb9f9a27a | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | strawberry-graphql/strawberry | af96afd4edd1788c59e150597a12501fbc7bf444 | 6d86d1c08c1244e00535840d9d87925431bc6a1c | refs/heads/main | 2023-08-30T03:34:12.929874 | 2023-08-24T12:01:09 | 2023-08-24T12:01:09 | 162,690,887 | 3,408 | 529 | MIT | 2023-09-14T21:49:44 | 2018-12-21T08:56:55 | Python | UTF-8 | Python | false | false | 3,759 | py | test_custom_objects_for_setting_attribute.py | import pytest
from strawberry.extensions.tracing.opentelemetry import OpenTelemetryExtension
@pytest.fixture
def otel_ext():
return OpenTelemetryExtension()
class SimpleObject:
def __init__(self, value):
self.value = value
def __str__(self):
return f"SimpleObject({self.value})"
class... |
707621419f6a581693712630fbf9cc4d983499ba | 5a4ff4e0a07ac57eead862a21d33fd441d89f05b | /proximal/prox_fns/__init__.py | a3ba9858774b3ff4381e8e750e55aefa8dc54e9a | [
"MIT"
] | permissive | comp-imaging/ProxImaL | 758b25a41fb008a49236ed893b38b244968a0afa | 3437814f70b45669aab5a44f7da02ee2da5751db | refs/heads/master | 2023-08-18T15:22:10.030926 | 2023-07-23T17:26:31 | 2023-08-09T18:16:14 | 63,992,576 | 114 | 33 | MIT | 2023-09-13T21:42:35 | 2016-07-23T01:12:16 | Python | UTF-8 | Python | false | false | 506 | py | __init__.py | from .prox_fn import ProxFn
from .diff_fn import diff_fn
from .nonneg import nonneg, weighted_nonneg, masked_nonneg
from .norm1 import norm1, weighted_norm1
from .sum_squares import sum_squares, weighted_sum_squares, least_squares, lsqr_options, cg_options
from .group_norm1 import group_norm1, weighted_group_norm1
from... |
6cfb8f790c345904cb3c7679ab19a3cb6029dbba | 19f76203bbd176fe5a5ff7a2470ada9fb9af7c39 | /taskflow/types/graph.py | 5d6912797ee9c67d6f626d229b4108c7b4753733 | [
"Apache-2.0"
] | permissive | openstack/taskflow | 19f1c614f2fc175b6e57ac9280dc510e402c9f56 | 3b40c04594fb49ab17f8834f2f0df294a1f3e996 | refs/heads/master | 2023-09-04T23:38:07.154364 | 2023-08-16T13:57:37 | 2023-08-16T13:57:37 | 16,626,961 | 338 | 75 | Apache-2.0 | 2018-10-29T14:30:27 | 2014-02-07T20:45:53 | Python | UTF-8 | Python | false | false | 10,504 | py | graph.py | # -*- coding: utf-8 -*-
# Copyright (C) 2012 Yahoo! 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... |
079e0d8c14f1752bd8a70fc23d4426739619c61b | 304b690ca83b82ec52dae5f53146981860f799e1 | /BasicLevel_Python/1009 说反话 （20 分).py | d0f6c480fa5df341b33437bc20d7d8f339354f9f | [] | no_license | liuchuo/PAT | 53e6a01a5c54ebe0d8c575e10173d16b7d7cc91d | fe7a01b3ef233ac9f03b732b08947a85efe44a2a | refs/heads/master | 2023-08-03T20:42:01.980531 | 2022-08-22T04:35:31 | 2022-08-22T04:35:31 | 49,113,721 | 3,713 | 1,168 | null | 2023-05-11T15:36:10 | 2016-01-06T05:06:34 | C++ | UTF-8 | Python | false | false | 76 | py | 1009 说反话 （20 分).py | i=input().split()
a=(i[::-1])
b=''
for c in a:
b=b+c+' '
print(b[0:-1])
|
aefadd6d2ce4cf56175000f83f93cb30e7288506 | 98dbb9cd9523809b4ee0e6b92334fa6a2a6af2a3 | /bingads/v13/bulk/bulk_service_manager.py | 1f9b33b47c09a12745caecd97fdd4b61a4a91a75 | [
"MIT"
] | permissive | BingAds/BingAds-Python-SDK | a2f9b0c099b574a4495d0052218f263af55cdb32 | 373a586402bf24af7137b7c49321dbc70c859fce | refs/heads/main | 2023-07-27T15:31:41.354708 | 2023-07-10T03:21:03 | 2023-07-10T03:21:03 | 31,927,550 | 105 | 182 | NOASSERTION | 2023-09-04T06:51:20 | 2015-03-09T23:09:01 | Python | UTF-8 | Python | false | false | 21,490 | py | bulk_service_manager.py | import tempfile
import uuid
import codecs
import csv
import io
from .bulk_operation import *
from .upload_parameters import *
from .file_reader import *
from .file_writer import *
from bingads.manifest import *
from bingads.service_client import ServiceClient
from bingads.authorization import *
from bingads.util impo... |
65faf6d1b9d2b7c2c348ad115c20fc840e0dcd4c | 5c1746c4ae9f5eb4c94c9b3a70a4d3feb966ceda | /pcapkit/const/hip/esp_transform_suite.py | e9782ce8c45e9fdbd20a2c4f79eeeac2de3de635 | [
"BSD-3-Clause"
] | permissive | JarryShaw/PyPCAPKit | 8b53c76cf54f2ef1a9e4d0a7aeb3d52605dc1d5a | a6fe49ec58f09e105bec5a00fb66d9b3f22730d9 | refs/heads/main | 2023-08-29T12:49:58.611378 | 2023-08-28T14:05:43 | 2023-08-28T14:05:43 | 109,791,841 | 204 | 29 | BSD-3-Clause | 2023-09-11T17:09:06 | 2017-11-07T05:41:56 | Python | UTF-8 | Python | false | false | 2,727 | py | esp_transform_suite.py | # -*- coding: utf-8 -*-
# pylint: disable=line-too-long,consider-using-f-string
"""ESP Transform Suite IDs
=============================
.. module:: pcapkit.const.hip.esp_transform_suite
This module contains the constant enumeration for **ESP Transform Suite IDs**,
which is automatically generated from :class:`pcapki... |
42df663e70e5b0d8a6202f3334f164d6be1a1779 | 5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d | /alipay/aop/api/domain/TbapiQueryAmountResponse.py | c393dfb78ced614cb7e963299f230d57a60906b4 | [
"Apache-2.0"
] | permissive | alipay/alipay-sdk-python-all | 8bd20882852ffeb70a6e929038bf88ff1d1eff1c | 1fad300587c9e7e099747305ba9077d4cd7afde9 | refs/heads/master | 2023-08-27T21:35:01.778771 | 2023-08-23T07:12:26 | 2023-08-23T07:12:26 | 133,338,689 | 247 | 70 | Apache-2.0 | 2023-04-25T04:54:02 | 2018-05-14T09:40:54 | Python | UTF-8 | Python | false | false | 1,494 | py | TbapiQueryAmountResponse.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class TbapiQueryAmountResponse(object):
def __init__(self):
self._amt_map = None
self._available_group_amt = None
@property
def amt_map(self):
return self._amt_map
... |
4a4a0fc7cf6bc9107c44724cb87bebff85815371 | 9e417620383442e018a677179fa09cebb2ff8c6f | /tests/test_model.py | dae8d28cc2a79dd207d1e59adb4a1a2bf9f3cb85 | [
"MIT"
] | permissive | rgc99/irrigation_unlimited | 12375871953af7fb5ccedd231560d946c51be2d2 | 21345ec6775b3d36eced42aa75178de451fc22b1 | refs/heads/master | 2023-08-23T09:22:56.898275 | 2023-08-19T02:00:11 | 2023-08-19T02:00:11 | 332,911,333 | 241 | 48 | MIT | 2023-07-30T23:21:42 | 2021-01-25T23:17:04 | Python | UTF-8 | Python | false | false | 2,509 | py | test_model.py | """irrigation_unlimited model test template"""
# pylint: disable=unused-import
from datetime import timedelta
import json
import pytest
import homeassistant.core as ha
from custom_components.irrigation_unlimited.const import (
SERVICE_TIME_ADJUST,
)
from tests.iu_test_support import IUExam, mk_utc, mk_local
IUExam... |
bee3c7ed1e26631b70701b916fefa2830bf89b26 | cc819c6f09f522547c256056e6e5183dd1549755 | /crossview_dataset/visualization/visualizer_3d.py | 60fc76f5b47370ba0aa432f041c1df71121148fa | [] | no_license | longcw/crossview_3d_pose_tracking | f826a1a2fe1c0783860f47948b8edf187ea8702e | 718e5ca5628f1dac01dfd693043f3bb6b6604dfa | refs/heads/master | 2023-03-18T20:36:32.884028 | 2023-03-09T02:52:15 | 2023-03-09T02:52:15 | 248,119,205 | 129 | 22 | null | null | null | null | UTF-8 | Python | false | false | 5,035 | py | visualizer_3d.py | from vispy import scene
from vispy.scene import cameras, visuals
from vispy.visuals.line import LineVisual
from threading import Thread
from multiprocessing import Process, Queue
from queue import Full
import time
import numpy as np
import copy
class XYZAxisVisual(LineVisual):
"""
Simple 3D axis for indicati... |
801d3ba21a7cf9704d3ef59d5f9477b3eb83f65e | 05643b9b4d20db912c3dbfbc191cadea3143016c | /instrumentation/opentelemetry-instrumentation-pymongo/tests/test_pymongo.py | 8eab3b701c8bdb7a124fca8a4782e94b847dc425 | [
"Apache-2.0"
] | permissive | open-telemetry/opentelemetry-python-contrib | 35566cd088aa0b23ca977109fcd435ee480784b9 | 0871dd455c0adfa125a2f258a0b55c47a5da5227 | refs/heads/main | 2023-08-26T07:30:40.212226 | 2023-08-21T16:42:12 | 2023-08-21T16:42:12 | 220,524,743 | 476 | 401 | Apache-2.0 | 2023-09-14T21:36:33 | 2019-11-08T18:23:43 | Python | UTF-8 | Python | false | false | 7,983 | py | test_pymongo.py | # Copyright The OpenTelemetry 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 ... |
8e930c4743f456593ba84c72408f7b78f5e0cef2 | 29bd0e9b5bdef7e2b4ff79edda3be258d5bde63c | /tests/test_lazyjson.py | f29482f0748b89041275f956933a41f1191d338a | [
"BSD-2-Clause"
] | permissive | xonsh/xonsh | 4dec5e4c14a4a82f81277a89d8ab6091869fc29e | 60f0145ed893cb73bbfcf336c448238981010d41 | refs/heads/main | 2023-08-31T03:37:57.786839 | 2023-08-23T15:30:20 | 2023-08-23T15:30:20 | 29,620,400 | 6,374 | 684 | NOASSERTION | 2023-09-11T02:52:37 | 2015-01-21T22:05:27 | Python | UTF-8 | Python | false | false | 3,736 | py | test_lazyjson.py | """Tests lazy json functionality."""
from io import StringIO
from xonsh.lazyjson import LazyJSON, LJNode, index, ljdump
def test_index_int():
exp = {"offsets": 0, "sizes": 2}
s, obs = index(42)
assert exp == obs
def test_index_str():
exp = {"offsets": 0, "sizes": 7}
s, obs = index("wakka")
... |
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