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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5861890f40c195d9d9cd8464fdd3da892466f679 | 8,080 | py | Python | python/mxnet/context.py | feevos/incubator-mxnet | 275378a49a6035fd5bdead4a74ac36b6070295a7 | [
"Apache-2.0"
] | null | null | null | python/mxnet/context.py | feevos/incubator-mxnet | 275378a49a6035fd5bdead4a74ac36b6070295a7 | [
"Apache-2.0"
] | null | null | null | python/mxnet/context.py | feevos/incubator-mxnet | 275378a49a6035fd5bdead4a74ac36b6070295a7 | [
"Apache-2.0"
] | null | null | null | # 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... | 30.490566 | 91 | 0.627104 |
58618a4465a15f955aaa88fd0bac8fbce9ce5c48 | 3,422 | py | Python | theory/model/tconfig.py | ralfonso/theory | 41684969313cfc545d74b306e409fd5bf21387b3 | [
"MIT"
] | 4 | 2015-07-03T19:53:59.000Z | 2016-04-25T03:03:56.000Z | theory/model/tconfig.py | ralfonso/theory | 41684969313cfc545d74b306e409fd5bf21387b3 | [
"MIT"
] | null | null | null | theory/model/tconfig.py | ralfonso/theory | 41684969313cfc545d74b306e409fd5bf21387b3 | [
"MIT"
] | 2 | 2020-03-29T22:02:29.000Z | 2021-07-13T07:17:19.000Z | # theory MPD client
# Copyright (C) 2008 Ryan Roemmich <ralfonso@gmail.com>
#
# 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 3 of the License, or
# (at your option) any later ve... | 34.918367 | 108 | 0.630333 |
5861aaa87e16980cf7f95fd4b748950ec3d44176 | 5,055 | py | Python | tests/test_error.py | iotanbo/iotanbo_py_utils | 96a2728e051b5e5ee601459b4c449b5495768ba8 | [
"MIT"
] | null | null | null | tests/test_error.py | iotanbo/iotanbo_py_utils | 96a2728e051b5e5ee601459b4c449b5495768ba8 | [
"MIT"
] | 14 | 2021-06-07T17:36:02.000Z | 2021-06-07T18:02:37.000Z | tests/test_error.py | iotanbo/iotanbo_py_utils | 96a2728e051b5e5ee601459b4c449b5495768ba8 | [
"MIT"
] | null | null | null | """Test `iotanbo_py_utils.error.py`."""
from iotanbo_py_utils.error import Error
from iotanbo_py_utils.error import ErrorKind
| 28.240223 | 76 | 0.669041 |
58641c0b89af2618e34db3686e77a3a4237fbad3 | 651 | py | Python | setup.py | wontonst/orvibo | 72722b16caa929ae3f07b0a6789a0f18cd3ebad3 | [
"MIT"
] | null | null | null | setup.py | wontonst/orvibo | 72722b16caa929ae3f07b0a6789a0f18cd3ebad3 | [
"MIT"
] | null | null | null | setup.py | wontonst/orvibo | 72722b16caa929ae3f07b0a6789a0f18cd3ebad3 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
from os import path
from io import open
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='orvibo',
version='1.5.0... | 27.125 | 108 | 0.725038 |
58652e385a1acfda94718bdec15c5a91dde6b8c7 | 3,053 | py | Python | autograder-master/autograder/test_runner.py | Diana1320622/AILabs | 315a6f4b8f8dd60e4f53d348e06e23b4d827d179 | [
"MIT"
] | null | null | null | autograder-master/autograder/test_runner.py | Diana1320622/AILabs | 315a6f4b8f8dd60e4f53d348e06e23b4d827d179 | [
"MIT"
] | null | null | null | autograder-master/autograder/test_runner.py | Diana1320622/AILabs | 315a6f4b8f8dd60e4f53d348e06e23b4d827d179 | [
"MIT"
] | null | null | null | import glob, os
import subprocess
from difflib import context_diff
| 33.184783 | 83 | 0.556174 |
5865c20624359a297b3a450c2e37573f88fc2710 | 245 | py | Python | amazon/model/admin.py | Lakshmivijaykrishnan/mini-amazon | 89ce7c5e2af127a2e8e027c87cb245fa82d184d6 | [
"Unlicense"
] | null | null | null | amazon/model/admin.py | Lakshmivijaykrishnan/mini-amazon | 89ce7c5e2af127a2e8e027c87cb245fa82d184d6 | [
"Unlicense"
] | null | null | null | amazon/model/admin.py | Lakshmivijaykrishnan/mini-amazon | 89ce7c5e2af127a2e8e027c87cb245fa82d184d6 | [
"Unlicense"
] | null | null | null | from amazon.model import db
| 22.272727 | 43 | 0.669388 |
58672ac219aa158da24cd5ab42129bffccff6013 | 2,429 | py | Python | tests/fixtures/test_abstracts/content_03_expected.py | elifesciences/elife-tools | ee345bf0e6703ef0f7e718355e85730abbdfd117 | [
"MIT"
] | 9 | 2015-04-16T08:13:31.000Z | 2020-05-18T14:03:06.000Z | tests/fixtures/test_abstracts/content_03_expected.py | elifesciences/elife-tools | ee345bf0e6703ef0f7e718355e85730abbdfd117 | [
"MIT"
] | 310 | 2015-02-11T00:30:09.000Z | 2021-07-14T23:58:50.000Z | tests/fixtures/test_abstracts/content_03_expected.py | elifesciences/elife-tools | ee345bf0e6703ef0f7e718355e85730abbdfd117 | [
"MIT"
] | 9 | 2015-02-04T01:21:28.000Z | 2021-06-15T12:50:47.000Z | expected = [
{
"abstract_type": None,
"content": "RET can be activated in cis or trans by its co-receptors and ligands in vitro, but the physiological roles of trans signaling are unclear. Rapidly adapting (RA) mechanoreceptors in dorsal root ganglia (DRGs) express Ret and the co-receptor Gfr\u03b12... | 303.625 | 1,326 | 0.792096 |
5868165c78c75470f0c193bcf63d0eb76394d605 | 5,059 | py | Python | NER-BiLSTM-CRF-PyTorch-main/src/eval.py | OscarChang46/de-identify-sensitive-data-for-cybersecurity-use-cases-e.g.-PII-and-PHI-data-in-unstructured-text-an | e77ca0d5c19206a349ecc94fc71febdc10824482 | [
"MIT"
] | 22 | 2021-04-28T04:19:04.000Z | 2022-03-20T17:17:57.000Z | NER-BiLSTM-CRF-PyTorch-main/src/eval.py | OscarChang46/de-identify-sensitive-data-for-cybersecurity-use-cases-e.g.-PII-and-PHI-data-in-unstructured-text-an | e77ca0d5c19206a349ecc94fc71febdc10824482 | [
"MIT"
] | 3 | 2021-09-03T12:14:36.000Z | 2022-03-07T10:43:51.000Z | NER-BiLSTM-CRF-PyTorch-main/src/eval.py | OscarChang46/de-identify-sensitive-data-for-cybersecurity-use-cases-e.g.-PII-and-PHI-data-in-unstructured-text-an | e77ca0d5c19206a349ecc94fc71febdc10824482 | [
"MIT"
] | 9 | 2021-03-25T13:44:51.000Z | 2022-02-19T03:56:38.000Z | # coding=utf-8
import optparse
import torch
import time
import pickle
from torch.autograd import Variable
from loader import *
from utils import *
# python -m visdom.server
optparser = optparse.OptionParser()
optparser.add_option(
"-t", "--test", default="data/eng.testb",
help="Test set location"
)
optparse... | 32.22293 | 94 | 0.613758 |
586904d063488a1bde40ac6c380144e572f09389 | 789 | py | Python | src/openbiolink/graph_creation/metadata_db_file/edge/dbMetaEdgeSiderInd.py | cthoyt/OpenBioLink | c5f85b99f9104f70493136c343e4554261e990a5 | [
"MIT"
] | null | null | null | src/openbiolink/graph_creation/metadata_db_file/edge/dbMetaEdgeSiderInd.py | cthoyt/OpenBioLink | c5f85b99f9104f70493136c343e4554261e990a5 | [
"MIT"
] | null | null | null | src/openbiolink/graph_creation/metadata_db_file/edge/dbMetaEdgeSiderInd.py | cthoyt/OpenBioLink | c5f85b99f9104f70493136c343e4554261e990a5 | [
"MIT"
] | null | null | null | from openbiolink.graph_creation.metadata_db_file.edge.dbMetadataEdge import DbMetadataEdge
from openbiolink.graph_creation.types.dbType import DbType
| 43.833333 | 90 | 0.69455 |
586a480b0504292a0e113f2a2851c35d28765f0b | 377 | py | Python | rename_files.py | ssinhaleite/util | b65a6e0d7ff270cc2bbdbc09b7894ffc77edaf8d | [
"MIT"
] | 1 | 2018-10-10T11:37:45.000Z | 2018-10-10T11:37:45.000Z | rename_files.py | ssinhaleite/util | b65a6e0d7ff270cc2bbdbc09b7894ffc77edaf8d | [
"MIT"
] | null | null | null | rename_files.py | ssinhaleite/util | b65a6e0d7ff270cc2bbdbc09b7894ffc77edaf8d | [
"MIT"
] | null | null | null | import mahotas as mh
import glob
import os
# rename files from 0 to number of files.
files = glob.glob("/path/*")
files.sort()
if not os.path.isdir("/path/renamed/"):
os.mkdir("/path/renamed/")
for i in range(len(files)):
print("Processing " + files[i])
renamedFile = mh.imread(files[i])
mh.imsave("... | 20.944444 | 71 | 0.649867 |
586b210947d0b950e98da84e776f0d34d976b0d2 | 1,749 | py | Python | scripts/download_lookml.py | orf/lkml | 2175a22e0fe8a894ef9312c73c6a062df2447795 | [
"MIT"
] | 110 | 2019-06-25T14:26:41.000Z | 2022-02-01T13:27:19.000Z | scripts/download_lookml.py | orf/lkml | 2175a22e0fe8a894ef9312c73c6a062df2447795 | [
"MIT"
] | 56 | 2019-06-26T22:11:43.000Z | 2022-03-15T20:37:30.000Z | scripts/download_lookml.py | orf/lkml | 2175a22e0fe8a894ef9312c73c6a062df2447795 | [
"MIT"
] | 28 | 2019-07-08T17:34:49.000Z | 2022-03-25T14:36:00.000Z | import os
import re
from base64 import b64decode
from pathlib import Path
import requests
username = os.environ["GITHUB_USERNAME"]
password = os.environ["GITHUB_PERSONAL_ACCESS_TOKEN"]
auth = requests.auth.HTTPBasicAuth(username, password)
directory = Path(__file__).resolve().parent.parent / "github"
directory.mkdir... | 26.5 | 71 | 0.573471 |
586cd0144d170eb0711f6999768b768351ab3215 | 579 | py | Python | docs/conf.py | RTBHOUSE/carreralib | 1daa959ef411b29601c92f86c0f6876fe8367837 | [
"MIT"
] | null | null | null | docs/conf.py | RTBHOUSE/carreralib | 1daa959ef411b29601c92f86c0f6876fe8367837 | [
"MIT"
] | null | null | null | docs/conf.py | RTBHOUSE/carreralib | 1daa959ef411b29601c92f86c0f6876fe8367837 | [
"MIT"
] | 1 | 2020-02-25T20:40:50.000Z | 2020-02-25T20:40:50.000Z | import os
import sys
sys.path.insert(0, os.path.abspath('..'))
project = 'carreralib'
copyright = '2015-2017 Thomas Kemmer'
version = get_version(b'../carreralib/__init__.py')
release = version
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.coverage',
'sphinx.ext.doctest',
'sphinx.ext.todo'
]
exc... | 20.678571 | 71 | 0.658031 |
586d9bd962737e276a73a87798d6fdc63e31cd16 | 503 | py | Python | algos/lcs.py | asaini/algo-py | e9d18ef82d14e6304430bbd8b065430e76aa7eb8 | [
"MIT"
] | 1 | 2015-10-01T21:17:10.000Z | 2015-10-01T21:17:10.000Z | algos/lcs.py | asaini/algo-py | e9d18ef82d14e6304430bbd8b065430e76aa7eb8 | [
"MIT"
] | null | null | null | algos/lcs.py | asaini/algo-py | e9d18ef82d14e6304430bbd8b065430e76aa7eb8 | [
"MIT"
] | null | null | null | def lcs(x, y):
"""
Longest Common Subsequence
"""
n = len(x) + 1
m = len(y) + 1
table = [ [0]*m for i in range(n) ]
for i in range(n):
for j in range(m):
# If either string is empty, then lcs = 0
if i == 0 or j == 0:
table[i][j] = 0
elif x[i - 1] == y[j - 1]:
table[i][j] = 1 + table[i-1]... | 16.225806 | 51 | 0.499006 |
586f8df02b72779b1db755aeb20b5f85e4d788d2 | 350 | py | Python | app/models/methods/set_device_info_method.py | luisalvesmartins/TAPO-P100 | 02bc929a87bbe4681739b14a716f6cef2b159fd1 | [
"MIT"
] | null | null | null | app/models/methods/set_device_info_method.py | luisalvesmartins/TAPO-P100 | 02bc929a87bbe4681739b14a716f6cef2b159fd1 | [
"MIT"
] | 1 | 2021-06-23T09:21:40.000Z | 2021-07-02T17:21:12.000Z | app/models/methods/set_device_info_method.py | luisalvesmartins/TAPO-P100 | 02bc929a87bbe4681739b14a716f6cef2b159fd1 | [
"MIT"
] | null | null | null | from models.methods import method
from typing import Any
| 25 | 51 | 0.708571 |
586fa3eca62dcbd41023f2732e592c80e6a5d80c | 3,077 | py | Python | projects/InterpretationReID/train_net.py | SheldongChen/AMD.github.io | 5f3018f239127949b2d3995162ffe033dcf8051a | [
"Apache-2.0"
] | 17 | 2021-11-01T01:14:06.000Z | 2022-03-02T14:59:39.000Z | projects/InterpretationReID/train_net.py | SheldongChen/AMD.github.io | 5f3018f239127949b2d3995162ffe033dcf8051a | [
"Apache-2.0"
] | 2 | 2021-12-22T07:56:13.000Z | 2022-03-18T10:26:21.000Z | projects/InterpretationReID/train_net.py | SheldongChen/AMD.github.io | 5f3018f239127949b2d3995162ffe033dcf8051a | [
"Apache-2.0"
] | 2 | 2022-02-18T07:42:38.000Z | 2022-02-18T10:16:26.000Z | #!/usr/bin/env python
# encoding: utf-8
"""
@author: sherlock
@contact: sherlockliao01@gmail.com
"""
import logging
import os
import sys
sys.path.append('.')
from fastreid.config import get_cfg
from projects.InterpretationReID.interpretationreid.engine import DefaultTrainer, default_argument_parser, default_setup, ... | 26.756522 | 128 | 0.677283 |
586fc6bf6803a3f84dbc2e58fa7867211fee503b | 826 | py | Python | asynciomeasures/collectors.py | Poogles/aiomeasures | d62482e8de56a00bce310e7c422d1a1e7a114ef7 | [
"MIT"
] | 2 | 2018-12-27T22:01:41.000Z | 2019-04-29T11:51:15.000Z | asynciomeasures/collectors.py | Poogles/aiomeasures | d62482e8de56a00bce310e7c422d1a1e7a114ef7 | [
"MIT"
] | null | null | null | asynciomeasures/collectors.py | Poogles/aiomeasures | d62482e8de56a00bce310e7c422d1a1e7a114ef7 | [
"MIT"
] | null | null | null | from collections import deque
from asynciomeasures.events import Event
| 28.482759 | 63 | 0.457627 |
58708500568a55067da2b5aa34b23852b3efa570 | 1,576 | py | Python | hardware/testbenches/common/drivers/state/driver.py | Intuity/nexus | 0d1414fa2ea518dae9f031930c40692ebac5d154 | [
"Apache-2.0"
] | 6 | 2021-06-28T05:52:15.000Z | 2022-03-27T20:45:28.000Z | hardware/testbenches/common/drivers/state/driver.py | Intuity/nexus | 0d1414fa2ea518dae9f031930c40692ebac5d154 | [
"Apache-2.0"
] | null | null | null | hardware/testbenches/common/drivers/state/driver.py | Intuity/nexus | 0d1414fa2ea518dae9f031930c40692ebac5d154 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021, Peter Birch, mailto:peter@lightlogic.co.uk
#
# 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 l... | 37.52381 | 74 | 0.692259 |
5870b28965fe63f49e7e9e53bb51b1566ea6452e | 1,463 | py | Python | python/primsAlgo.py | Ayushd70/RetartedCodes | 301ced178a0ec352b2d127e19028845de950551d | [
"MIT"
] | null | null | null | python/primsAlgo.py | Ayushd70/RetartedCodes | 301ced178a0ec352b2d127e19028845de950551d | [
"MIT"
] | null | null | null | python/primsAlgo.py | Ayushd70/RetartedCodes | 301ced178a0ec352b2d127e19028845de950551d | [
"MIT"
] | null | null | null | # Prim's Algorithm in Python
INF = 9999999
# number of vertices in graph
V = 5
# create a 2d array of size 5x5
# for adjacency matrix to represent graph
G = [
[0, 9, 75, 0, 0],
[9, 0, 95, 19, 42],
[75, 95, 0, 51, 66],
[0, 19, 51, 0, 31],
[0, 42, 66, 31, 0],
]
# create a array to track... | 31.12766 | 68 | 0.546822 |
5870fd20f646ac17e765716a8a7674f3e6c452db | 13,449 | py | Python | tests/test_likelihood.py | sa2c/care-home-fit | 58a2639c74b53e24f062d0dfc3e21df6d53b3077 | [
"MIT"
] | null | null | null | tests/test_likelihood.py | sa2c/care-home-fit | 58a2639c74b53e24f062d0dfc3e21df6d53b3077 | [
"MIT"
] | null | null | null | tests/test_likelihood.py | sa2c/care-home-fit | 58a2639c74b53e24f062d0dfc3e21df6d53b3077 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
'''Tests for the likelihood.py module'''
from time import perf_counter_ns
import pytest
import numpy as np
from numpy.testing import assert_array_equal, assert_almost_equal
from scipy.stats import gamma
import likelihood
SMALL_FIT_PARAMS = {
'baseline_intensities': np.asarray([1, 2, np.na... | 32.485507 | 79 | 0.693509 |
5871c92a8c31f58780367e72dd645d194490519d | 266 | py | Python | HalleyComet/bit/models.py | ryanduan/Halley_Comet | bd3263e4575c820dd14c265c2c0d4b6b44197682 | [
"Apache-2.0"
] | null | null | null | HalleyComet/bit/models.py | ryanduan/Halley_Comet | bd3263e4575c820dd14c265c2c0d4b6b44197682 | [
"Apache-2.0"
] | null | null | null | HalleyComet/bit/models.py | ryanduan/Halley_Comet | bd3263e4575c820dd14c265c2c0d4b6b44197682 | [
"Apache-2.0"
] | null | null | null | from django.db import models
| 26.6 | 56 | 0.740602 |
587220b8fa00eda9456728bff03e4461bf290254 | 2,411 | py | Python | data-structure/queue.py | 66chenbiao/sleepace_verification_tool | 6271312d9d78ee50703e27a75787510cab4c7f4d | [
"Apache-2.0"
] | null | null | null | data-structure/queue.py | 66chenbiao/sleepace_verification_tool | 6271312d9d78ee50703e27a75787510cab4c7f4d | [
"Apache-2.0"
] | null | null | null | data-structure/queue.py | 66chenbiao/sleepace_verification_tool | 6271312d9d78ee50703e27a75787510cab4c7f4d | [
"Apache-2.0"
] | null | null | null | import unittest
if __name__ == "__main__":
unittest.main()
| 27.397727 | 84 | 0.561178 |
58731f101956f7789a536c381812a3703830d466 | 262 | py | Python | m2-modified/ims/common/agentless-system-crawler/crawler/plugins/emitters/http_emitter.py | CCI-MOC/ABMI | 955c12ae9d2dc7afe7323f6c25f2af120f5b281a | [
"Apache-2.0"
] | 108 | 2015-07-21T10:40:36.000Z | 2021-07-01T06:54:51.000Z | m2-modified/ims/common/agentless-system-crawler/crawler/plugins/emitters/http_emitter.py | CCI-MOC/ABMI | 955c12ae9d2dc7afe7323f6c25f2af120f5b281a | [
"Apache-2.0"
] | 320 | 2015-07-21T01:33:20.000Z | 2020-07-21T15:57:02.000Z | m2-modified/ims/common/agentless-system-crawler/crawler/plugins/emitters/http_emitter.py | CCI-MOC/ABMI | 955c12ae9d2dc7afe7323f6c25f2af120f5b281a | [
"Apache-2.0"
] | 61 | 2015-07-20T18:26:37.000Z | 2021-03-17T01:18:54.000Z | import logging
from iemit_plugin import IEmitter
from plugins.emitters.base_http_emitter import BaseHttpEmitter
logger = logging.getLogger('crawlutils')
| 20.153846 | 62 | 0.793893 |
58733d23c2ee586468a2e3bd18d3eae0569b7613 | 1,946 | py | Python | frequency_domain/dwt.py | StephenTaylor1998/Research | 193dc88d368caf5a458be24456c4f6d5045d341f | [
"Apache-2.0"
] | null | null | null | frequency_domain/dwt.py | StephenTaylor1998/Research | 193dc88d368caf5a458be24456c4f6d5045d341f | [
"Apache-2.0"
] | null | null | null | frequency_domain/dwt.py | StephenTaylor1998/Research | 193dc88d368caf5a458be24456c4f6d5045d341f | [
"Apache-2.0"
] | 1 | 2022-03-27T14:04:46.000Z | 2022-03-27T14:04:46.000Z | import torch
import torch.nn as nn
import numpy as np
import torch.nn.functional as F
import pywt
| 38.156863 | 81 | 0.571429 |
58747a38ec4c868ae85caa7d4f7a021b2a655030 | 7,973 | py | Python | facebook_messenger_conversation.py | davidkrantz/FacebookChatStatistics | 01fc2a022d45ed695fa7f4ad53d6532a160379db | [
"MIT"
] | 35 | 2018-02-22T09:04:21.000Z | 2022-03-21T18:28:21.000Z | facebook_messenger_conversation.py | davidkrantz/FacebookChatStatistics | 01fc2a022d45ed695fa7f4ad53d6532a160379db | [
"MIT"
] | 5 | 2018-05-03T17:56:35.000Z | 2022-02-24T08:19:58.000Z | facebook_messenger_conversation.py | davidkrantz/FacebookChatStatistics | 01fc2a022d45ed695fa7f4ad53d6532a160379db | [
"MIT"
] | 12 | 2018-05-15T19:15:25.000Z | 2022-02-24T08:20:15.000Z | import sys
import numpy as np
import json
import matplotlib.pyplot as plt
from matplotlib.dates import DateFormatter
from matplotlib.backends.backend_pdf import PdfPages
from datetime import datetime, timedelta
import matplotlib.dates as mdates
import emoji
| 34.07265 | 82 | 0.56014 |
5876eec474b4c0410b6e104f6c352d08e47e01ce | 1,758 | py | Python | setup.py | stevearc/pyramid_duh | af14b185533d00b69dfdb8ab1cab6f1d1d8d4647 | [
"MIT"
] | 5 | 2015-12-15T09:27:16.000Z | 2017-12-12T12:56:04.000Z | setup.py | stevearc/pyramid_duh | af14b185533d00b69dfdb8ab1cab6f1d1d8d4647 | [
"MIT"
] | null | null | null | setup.py | stevearc/pyramid_duh | af14b185533d00b69dfdb8ab1cab6f1d1d8d4647 | [
"MIT"
] | null | null | null | """ Setup file """
import os
import sys
from setuptools import setup, find_packages
HERE = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(HERE, 'README.rst')).read()
CHANGES = open(os.path.join(HERE, 'CHANGES.rst')).read()
REQUIREMENTS = [
'pyramid',
'six',
]
TEST_REQUIREMENTS = [
... | 30.310345 | 61 | 0.580205 |
5877683380ccf730fab956e05f9d48490796920d | 555 | py | Python | telegramhelpers.py | olgamirete/log-public-ip | 0e53c27e62f0709a9d0adf52c860b407a841a252 | [
"MIT"
] | null | null | null | telegramhelpers.py | olgamirete/log-public-ip | 0e53c27e62f0709a9d0adf52c860b407a841a252 | [
"MIT"
] | null | null | null | telegramhelpers.py | olgamirete/log-public-ip | 0e53c27e62f0709a9d0adf52c860b407a841a252 | [
"MIT"
] | null | null | null | import requests, os
from dotenv import load_dotenv
load_dotenv()
API_TOKEN = os.getenv('API_TOKEN') | 24.130435 | 64 | 0.572973 |
58793e76d3fcb25dfcdd3339f4cd5621aa988f33 | 1,880 | py | Python | datawinners/questionnaire/tests/test_questionnaire_template.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | 1 | 2015-11-02T09:11:12.000Z | 2015-11-02T09:11:12.000Z | datawinners/questionnaire/tests/test_questionnaire_template.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | datawinners/questionnaire/tests/test_questionnaire_template.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | from unittest import TestCase
from mock import patch, MagicMock
from mangrove.datastore.database import DatabaseManager
from datawinners.questionnaire.library import QuestionnaireLibrary
| 47 | 100 | 0.643617 |
58795121905bb3b21c3853525b46782e8fe333ee | 2,826 | py | Python | chainer_chemistry/links/update/ggnn_update.py | pfnet/chainerchem | efe323aa21f63a815130d673781e7cca1ccb72d2 | [
"MIT"
] | 184 | 2019-11-27T12:59:01.000Z | 2022-03-29T19:18:54.000Z | chainer_chemistry/links/update/ggnn_update.py | pfnet/chainerchem | efe323aa21f63a815130d673781e7cca1ccb72d2 | [
"MIT"
] | 21 | 2019-12-08T01:53:33.000Z | 2020-10-23T01:19:56.000Z | chainer_chemistry/links/update/ggnn_update.py | pfnet/chainerchem | efe323aa21f63a815130d673781e7cca1ccb72d2 | [
"MIT"
] | 45 | 2019-11-28T09:59:54.000Z | 2022-02-07T02:42:46.000Z | import chainer
from chainer import functions
from chainer import links
import chainer_chemistry
from chainer_chemistry.links.connection.graph_linear import GraphLinear
from chainer_chemistry.utils import is_sparse
| 36.230769 | 79 | 0.624204 |
587a404ecb9909eff07171e4499fcb5702d3abd5 | 78 | py | Python | samples/ast/test.py | Ryoich/python_zero | fe4a5fd8b11c8c059d82b797cd1668f96d54e541 | [
"CC-BY-4.0"
] | 203 | 2018-12-14T10:16:33.000Z | 2022-03-10T07:23:34.000Z | samples/ast/test.py | Ryoich/python_zero | fe4a5fd8b11c8c059d82b797cd1668f96d54e541 | [
"CC-BY-4.0"
] | 39 | 2019-06-21T12:28:03.000Z | 2022-01-17T10:41:53.000Z | samples/ast/test.py | Ryoich/python_zero | fe4a5fd8b11c8c059d82b797cd1668f96d54e541 | [
"CC-BY-4.0"
] | 29 | 2018-12-30T06:48:59.000Z | 2022-03-10T07:43:42.000Z |
print("Hello")
| 8.666667 | 16 | 0.538462 |
587a892ea698fcb43f251688aa0bd017aec53e6b | 1,621 | py | Python | badboids/test/test_simulation_parameters.py | RiannaK/Coursework2 | 471589593fd09c61fae39cb5975cc88fee36971c | [
"MIT"
] | null | null | null | badboids/test/test_simulation_parameters.py | RiannaK/Coursework2 | 471589593fd09c61fae39cb5975cc88fee36971c | [
"MIT"
] | 2 | 2017-01-02T11:11:31.000Z | 2017-01-02T22:09:15.000Z | badboids/test/test_simulation_parameters.py | RiannaK/Coursework2 | 471589593fd09c61fae39cb5975cc88fee36971c | [
"MIT"
] | null | null | null | from numpy.testing import assert_array_almost_equal as array_assert
from badboids.boids import SimulationParameters
def test_simulation_parameters_init():
"""Tests Simulation Parameters constructor"""
# Arrange
formation_flying_distance = 800
formation_flying_strength = 0.10
alert_distance = 8
... | 33.770833 | 100 | 0.779766 |
587e704ad57d09ab05a6f91557e90faddd8fb439 | 3,247 | py | Python | django_town/oauth2/models.py | uptown/django-town | 4c3b078a8ce5dcc275d65faa4a1cdfb7ebc74a50 | [
"MIT"
] | null | null | null | django_town/oauth2/models.py | uptown/django-town | 4c3b078a8ce5dcc275d65faa4a1cdfb7ebc74a50 | [
"MIT"
] | null | null | null | django_town/oauth2/models.py | uptown/django-town | 4c3b078a8ce5dcc275d65faa4a1cdfb7ebc74a50 | [
"MIT"
] | null | null | null | #-*- coding: utf-8 -*-
from django_town.core.settings import OAUTH2_SETTINGS
try:
if not OAUTH2_SETTINGS.ACCESS_TOKEN_SECRET_KEY:
raise ImportError
except KeyError:
# import traceback
# traceback.print_exc()
raise ImportError
from django.db import models
from django.conf import settings
from ... | 33.132653 | 92 | 0.73206 |
587e7271e86565dcf7c4f99ca8d0228de3d2839e | 265 | py | Python | util_list_files.py | jhu-alistair/image_utilities | 07fcf2fb78b57b3e8ac798daffa9f4d7b05d9063 | [
"Apache-2.0"
] | null | null | null | util_list_files.py | jhu-alistair/image_utilities | 07fcf2fb78b57b3e8ac798daffa9f4d7b05d9063 | [
"Apache-2.0"
] | null | null | null | util_list_files.py | jhu-alistair/image_utilities | 07fcf2fb78b57b3e8ac798daffa9f4d7b05d9063 | [
"Apache-2.0"
] | null | null | null | # List files in a directory. Useful for testing the path
from local_tools import *
from image_renamer import ImageRenamer
if confirm_config('path'):
img_path = get_config('path')
fl = ImageRenamer(img_path)
for ff in fl.image_files():
print(ff)
| 29.444444 | 56 | 0.720755 |
587f22d6d391706fced03d26fcfcf342a5722cf3 | 1,394 | py | Python | deepmedic_config.py | farrokhkarimi/deepmedic_project | b0c916171673ce3259d2458146f2db941f0bf270 | [
"MIT"
] | 2 | 2021-07-15T18:40:18.000Z | 2021-08-03T17:10:12.000Z | deepmedic_config.py | farrokhkarimi/deepmedic_project | b0c916171673ce3259d2458146f2db941f0bf270 | [
"MIT"
] | null | null | null | deepmedic_config.py | farrokhkarimi/deepmedic_project | b0c916171673ce3259d2458146f2db941f0bf270 | [
"MIT"
] | 1 | 2022-01-17T12:11:51.000Z | 2022-01-17T12:11:51.000Z | import os
| 48.068966 | 137 | 0.636298 |
587fce66d43c23ddc2eed105e1033650f3ef5080 | 174 | py | Python | configs/models/aott.py | yoxu515/aot-benchmark | 5a7665fc8e0f0e64bc8ba6028b15d9ab32f4c56a | [
"BSD-3-Clause"
] | 105 | 2021-11-16T12:43:59.000Z | 2022-03-31T08:05:11.000Z | configs/models/aott.py | lingyunwu14/aot-benchmark | 99f74f051c91ac221e44f3edab3534ae4dd233f7 | [
"BSD-3-Clause"
] | 14 | 2021-11-18T09:52:36.000Z | 2022-03-31T16:26:32.000Z | configs/models/aott.py | lingyunwu14/aot-benchmark | 99f74f051c91ac221e44f3edab3534ae4dd233f7 | [
"BSD-3-Clause"
] | 17 | 2021-11-16T13:28:29.000Z | 2022-03-29T02:14:48.000Z | import os
from .default import DefaultModelConfig
| 21.75 | 39 | 0.706897 |
58803dca4ce3bbdf62d3eb2aca41861e7c2239d8 | 1,125 | py | Python | main.py | philipperemy/tensorflow-fifo-queue-example | 1e38e6e907b7856e954caeeb01d52f7d66e54de0 | [
"MIT"
] | 42 | 2017-03-17T07:22:30.000Z | 2022-03-31T16:11:50.000Z | main.py | afcarl/tensorflow-fifo-queue-example | 885bcfe417f6d3a9beb4180922cd221d95abc1ef | [
"MIT"
] | 2 | 2017-08-15T19:23:26.000Z | 2017-08-18T02:49:11.000Z | main.py | afcarl/tensorflow-fifo-queue-example | 885bcfe417f6d3a9beb4180922cd221d95abc1ef | [
"MIT"
] | 15 | 2017-05-04T07:27:24.000Z | 2022-03-31T16:26:28.000Z | from __future__ import print_function
import time
import tensorflow as tf
from data import DataGenerator
if __name__ == '__main__':
main()
| 25 | 95 | 0.683556 |
58803eeb0ae16d220e9ed2f74395fa7c80ff5afa | 1,285 | py | Python | Chapter_3/OO_DimmerSwitch_Model1.py | zjwillie/Object-Oriented-Python-Code | 017b07084c7937c870926b96a856f60b9d7077aa | [
"BSD-2-Clause"
] | 38 | 2021-11-16T03:04:42.000Z | 2022-03-27T05:57:50.000Z | Chapter_3/OO_DimmerSwitch_Model1.py | zjwillie/Object-Oriented-Python-Code | 017b07084c7937c870926b96a856f60b9d7077aa | [
"BSD-2-Clause"
] | null | null | null | Chapter_3/OO_DimmerSwitch_Model1.py | zjwillie/Object-Oriented-Python-Code | 017b07084c7937c870926b96a856f60b9d7077aa | [
"BSD-2-Clause"
] | 22 | 2021-11-11T15:57:58.000Z | 2022-03-18T12:58:07.000Z | # Dimmer Switch class
# Main code
# Create first DimmerSwitch, turn on and raise level twice
oDimmer1 = DimmerSwitch('Dimmer1')
oDimmer1.turnOn()
oDimmer1.raiseLevel()
oDimmer1.raiseLevel()
# Create second DimmerSwitch, turn on and raise level 3 times
oDimmer2 = DimmerSwitch('Dimmer2')
oDimmer2.turnOn()
oDimmer... | 23.363636 | 61 | 0.654475 |
5881480162c7fded411cf84766484caa36fe07ea | 2,101 | py | Python | python/vosk/transcriber/cli.py | madkote/vosk-api | 8cf64ee93e5cc21a6d53595c6a80fc638a45b1d7 | [
"Apache-2.0"
] | 33 | 2019-09-03T23:21:14.000Z | 2020-01-02T10:18:15.000Z | python/vosk/transcriber/cli.py | madkote/vosk-api | 8cf64ee93e5cc21a6d53595c6a80fc638a45b1d7 | [
"Apache-2.0"
] | 7 | 2019-09-11T09:40:03.000Z | 2019-12-31T10:04:21.000Z | python/vosk/transcriber/cli.py | madkote/vosk-api | 8cf64ee93e5cc21a6d53595c6a80fc638a45b1d7 | [
"Apache-2.0"
] | 10 | 2019-09-05T05:30:16.000Z | 2020-01-02T10:18:17.000Z | #!/usr/bin/env python3
import logging
import argparse
from pathlib import Path
from vosk import list_models, list_languages
from vosk.transcriber.transcriber import Transcriber
parser = argparse.ArgumentParser(
description = 'Transcribe audio file and save result in selected format')
parser.add_argument(
... | 28.013333 | 113 | 0.634936 |
58816407aff8c18d528cadd21c391b1d398c40c2 | 2,923 | py | Python | OCR-Flask-app-master/tesseract.py | ChungNPH/OCR | 06a78fa5f2c8f5891db1969ac2076ef8d20b74a8 | [
"MIT"
] | null | null | null | OCR-Flask-app-master/tesseract.py | ChungNPH/OCR | 06a78fa5f2c8f5891db1969ac2076ef8d20b74a8 | [
"MIT"
] | null | null | null | OCR-Flask-app-master/tesseract.py | ChungNPH/OCR | 06a78fa5f2c8f5891db1969ac2076ef8d20b74a8 | [
"MIT"
] | null | null | null | import numpy as np
import cv2
from imutils.object_detection import non_max_suppression
import pytesseract
from matplotlib import pyplot as plt
print(ocr(["./images/car_wash.png"])) | 30.134021 | 109 | 0.485118 |
5882bcb6d8e741c3012ffb7ce72cd027f9aee6d9 | 727 | py | Python | Scripts/autotest/bug/migrations/0003_auto_20180128_2144.py | ludechu/DJevn | ee97447da3f6f55c92bfa1b6a20436a4f3098150 | [
"bzip2-1.0.6"
] | null | null | null | Scripts/autotest/bug/migrations/0003_auto_20180128_2144.py | ludechu/DJevn | ee97447da3f6f55c92bfa1b6a20436a4f3098150 | [
"bzip2-1.0.6"
] | null | null | null | Scripts/autotest/bug/migrations/0003_auto_20180128_2144.py | ludechu/DJevn | ee97447da3f6f55c92bfa1b6a20436a4f3098150 | [
"bzip2-1.0.6"
] | null | null | null | # Generated by Django 2.0 on 2018-01-28 21:44
from django.db import migrations, models
| 30.291667 | 153 | 0.558459 |
5882ce3c784a4517fd7838c8665ee9d1be914598 | 17,439 | py | Python | tests/test_validators.py | STYLER-Inc/styler-validation | 73e6e3ac241cf26ca3ccee070f2736778d3d4849 | [
"MIT"
] | null | null | null | tests/test_validators.py | STYLER-Inc/styler-validation | 73e6e3ac241cf26ca3ccee070f2736778d3d4849 | [
"MIT"
] | null | null | null | tests/test_validators.py | STYLER-Inc/styler-validation | 73e6e3ac241cf26ca3ccee070f2736778d3d4849 | [
"MIT"
] | null | null | null | """ Tests for validators
"""
from decimal import Decimal
from unittest.mock import Mock
import random
import string
from styler_validation import validators as va
from styler_validation import messages as msg
| 23.159363 | 68 | 0.565113 |
5883b253d513cb80bd2362de5b0a8311d18ca8c7 | 3,305 | py | Python | blog/models.py | Libor03/django-final | e29dc3237252c7b0fcfea13d948ed54ffe6d0339 | [
"CC0-1.0"
] | null | null | null | blog/models.py | Libor03/django-final | e29dc3237252c7b0fcfea13d948ed54ffe6d0339 | [
"CC0-1.0"
] | null | null | null | blog/models.py | Libor03/django-final | e29dc3237252c7b0fcfea13d948ed54ffe6d0339 | [
"CC0-1.0"
] | null | null | null | from django.core.files.storage import FileSystemStorage
from django.db import models
# Create your models here.
from datetime import date
from django.urls import reverse #Used to generate URLs by reversing the URL patterns
from django.contrib.auth.models import User #Blog author or commenter
""" Metoda vrac cestu k... | 36.722222 | 135 | 0.698033 |
5884a5b1746cc453a881292d3b4f5da9a92c1838 | 369 | py | Python | 1c. beginner_path_3_How to Think Like a Computer Scientist Learning with Python 3/thinkcs-python3-solutions/Chapter 11/E1.py | codeclubbentleigh/Python | 94d6a937aa3520b201ee1641c2009bd90566d52a | [
"MIT"
] | 12 | 2018-11-14T03:55:58.000Z | 2021-12-12T01:13:05.000Z | 1c. beginner_path_3_How to Think Like a Computer Scientist Learning with Python 3/thinkcs-python3-solutions/Chapter 11/E1.py | codeclubbentleigh/Python | 94d6a937aa3520b201ee1641c2009bd90566d52a | [
"MIT"
] | null | null | null | 1c. beginner_path_3_How to Think Like a Computer Scientist Learning with Python 3/thinkcs-python3-solutions/Chapter 11/E1.py | codeclubbentleigh/Python | 94d6a937aa3520b201ee1641c2009bd90566d52a | [
"MIT"
] | 7 | 2019-10-10T06:28:58.000Z | 2022-02-15T07:18:12.000Z | print(list(range(10, 0, -2)))
# if start > end and step > 0:
# a list generated from start to no more than end with step as constant increment
# if start > end and step < 0:
# an empty list generated
# if start < end and step > 0:
# an empty list generated
# if start < end and step < 0
# a list generated from start to ... | 36.9 | 81 | 0.704607 |
588580ba517b618b5770a81ab628f3858c9ed41b | 3,141 | py | Python | DeepModels/KerasConvNetMNIST.py | amingolnari/Deep-Learning-Course | 00d4fe10db8d1dde3d9b2a94fe93531e8f836cbc | [
"MIT"
] | 17 | 2018-12-05T06:50:34.000Z | 2021-05-26T04:03:18.000Z | DeepModels/KerasConvNetMNIST.py | amingolnari/Deep-Learning-Course | 00d4fe10db8d1dde3d9b2a94fe93531e8f836cbc | [
"MIT"
] | null | null | null | DeepModels/KerasConvNetMNIST.py | amingolnari/Deep-Learning-Course | 00d4fe10db8d1dde3d9b2a94fe93531e8f836cbc | [
"MIT"
] | 3 | 2018-12-08T14:59:47.000Z | 2019-12-26T17:52:09.000Z | """
github : https://github.com/amingolnari/Deep-Learning-Course
Author : Amin Golnari
Keras Version : 2.2.4
Date : 4/12/2018
Keras CNN Classification on MNIST Data
Code 301
"""
## If your GPU is AMD , you can use PlaidML Backend
# import os
# os.environ["KERAS_BACKEND"] = "plaidml.keras.backend"
from keras.models i... | 32.381443 | 97 | 0.61127 |
588a0eb119fc13cdd266d6e4d090c38c400126a9 | 526 | py | Python | armstrong.py | Sanchr-sys/Letsupgrade_python7 | f130cb1dff259878193fb65dd414fc936a7c760d | [
"Apache-2.0"
] | null | null | null | armstrong.py | Sanchr-sys/Letsupgrade_python7 | f130cb1dff259878193fb65dd414fc936a7c760d | [
"Apache-2.0"
] | null | null | null | armstrong.py | Sanchr-sys/Letsupgrade_python7 | f130cb1dff259878193fb65dd414fc936a7c760d | [
"Apache-2.0"
] | null | null | null | start = 104200
end = 702648265
for arm1 in range(start, end + 1):
exp = len(str(arm1))
num_sum = 0
c = arm1
while c > 0:
num = c % 10
num_sum += num ** exp
c //= 10
if arm1 != num_sum:
continue
else:
if arm1 == num_sum:
... | 17.533333 | 70 | 0.503802 |
588a5c56f6208237e504aa5b6fa4afab73e5300c | 787 | py | Python | neji.py | NejiViraj/Viraj | d5bfc60e29100e00a87596b5e16961ab97a3dc4c | [
"BSD-2-Clause"
] | null | null | null | neji.py | NejiViraj/Viraj | d5bfc60e29100e00a87596b5e16961ab97a3dc4c | [
"BSD-2-Clause"
] | null | null | null | neji.py | NejiViraj/Viraj | d5bfc60e29100e00a87596b5e16961ab97a3dc4c | [
"BSD-2-Clause"
] | null | null | null | import requests
import json
| 24.59375 | 125 | 0.645489 |
588aa8a3b88a98a9d49032a085a9b2d4f04e667f | 9,731 | py | Python | xmaintnote/ticketing.py | 0xmc/maint-notification | bdf27f7b863a45d2191068c46f729db3c94386d1 | [
"BSD-2-Clause"
] | null | null | null | xmaintnote/ticketing.py | 0xmc/maint-notification | bdf27f7b863a45d2191068c46f729db3c94386d1 | [
"BSD-2-Clause"
] | null | null | null | xmaintnote/ticketing.py | 0xmc/maint-notification | bdf27f7b863a45d2191068c46f729db3c94386d1 | [
"BSD-2-Clause"
] | null | null | null | #!/bin/env python3
"""Handling events as tickets
The goal here is, provided a maintenance event, create an event if not a
duplicate. To determine if not duplicate, use some combination of values to
form a key. Methods to delete, update, and otherwise transform the ticket
should be available
A base class, Ticket, is ... | 33.439863 | 79 | 0.582468 |
588c8d695d5770a68e19da667343fb316670eec3 | 195 | py | Python | tests/commands/types/test_flag_param.py | cicdenv/cicdenv | 5b72fd9ef000bf07c2052471b59edaa91af18778 | [
"MIT"
] | 8 | 2020-08-10T20:57:24.000Z | 2021-08-08T10:46:20.000Z | tests/commands/types/test_flag_param.py | cicdenv/cicdenv | 5b72fd9ef000bf07c2052471b59edaa91af18778 | [
"MIT"
] | null | null | null | tests/commands/types/test_flag_param.py | cicdenv/cicdenv | 5b72fd9ef000bf07c2052471b59edaa91af18778 | [
"MIT"
] | 1 | 2020-08-10T20:42:09.000Z | 2020-08-10T20:42:09.000Z | from cicdctl.commands.types.flag import FlagParamType
| 24.375 | 72 | 0.702564 |
588fc576880c0f000634f775d5b9b45b44869222 | 7,957 | py | Python | tools/merge_messages.py | cclauss/personfinder | 62417192e79c9711d0c6c7cfc042f6d6b0dc2dc2 | [
"Apache-2.0"
] | 1 | 2021-11-18T20:09:09.000Z | 2021-11-18T20:09:09.000Z | tools/merge_messages.py | ZhengC1/personfinder | 7e40f2783ac89b91efd1d8497f1acc5b006361fa | [
"Apache-2.0"
] | null | null | null | tools/merge_messages.py | ZhengC1/personfinder | 7e40f2783ac89b91efd1d8497f1acc5b006361fa | [
"Apache-2.0"
] | 1 | 2022-01-05T07:06:43.000Z | 2022-01-05T07:06:43.000Z | #!/usr/bin/env python
# Copyright 2010 Google Inc.
#
# 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 ... | 39.004902 | 80 | 0.662184 |
5890360ab5457f3e208d3176b19465a1fa0b29ad | 621 | py | Python | misc/derwin.py | ssebs/nccsv | f5e94dab833a5f0822308299e154f13fd68d88f6 | [
"MIT"
] | null | null | null | misc/derwin.py | ssebs/nccsv | f5e94dab833a5f0822308299e154f13fd68d88f6 | [
"MIT"
] | null | null | null | misc/derwin.py | ssebs/nccsv | f5e94dab833a5f0822308299e154f13fd68d88f6 | [
"MIT"
] | null | null | null | # derwin.py - testing a window within a window
import curses
# main
if __name__ == "__main__":
curses.wrapper(main)
| 20.7 | 52 | 0.653784 |
589099f22121deb7215ea93a44c6ab088a52a57b | 1,110 | py | Python | test/z_emulator_autoload.py | DXCyber409/AndroidNativeEmulator | 11a0360a947114375757724eecd9bd9dbca43a56 | [
"Apache-2.0"
] | 3 | 2020-05-21T09:15:11.000Z | 2022-01-12T13:52:20.000Z | test/z_emulator_autoload.py | DXCyber409/AndroidNativeEmulator | 11a0360a947114375757724eecd9bd9dbca43a56 | [
"Apache-2.0"
] | null | null | null | test/z_emulator_autoload.py | DXCyber409/AndroidNativeEmulator | 11a0360a947114375757724eecd9bd9dbca43a56 | [
"Apache-2.0"
] | null | null | null | import sys
import logging
from unicorn import *
from unicorn.arm_const import *
from androidemu.emulator import Emulator
from UnicornTraceDebugger import udbg
logging.basicConfig(stream=sys.stdout,
level=logging.DEBUG,
format="%(asctime)s %(levelname)7s %(name)34s | %(message)s")
logger = logging.getLogger(__n... | 29.210526 | 72 | 0.73964 |
58919030577b20ce04be8ee22121a25618dfdeb8 | 816 | py | Python | community_ext/__init__.py | altsoph/community_loglike | ea8800217097575558f8bfb97f7737d12cad2339 | [
"BSD-3-Clause"
] | 16 | 2018-02-14T23:14:32.000Z | 2021-09-15T09:38:47.000Z | community_ext/__init__.py | altsoph/community_loglike | ea8800217097575558f8bfb97f7737d12cad2339 | [
"BSD-3-Clause"
] | null | null | null | community_ext/__init__.py | altsoph/community_loglike | ea8800217097575558f8bfb97f7737d12cad2339 | [
"BSD-3-Clause"
] | 7 | 2019-05-09T10:25:24.000Z | 2020-06-06T09:37:18.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
This package implements several community detection.
Originally based on community aka python-louvain library from Thomas Aynaud
(https://github.com/taynaud/python-louvain)
"""
from .community_ext import (
partition_at_level,
modularity,
best_partition,
ge... | 24.727273 | 83 | 0.72549 |
589531a8cfe2795a9b90146b7a85879eaadf036f | 895 | py | Python | youbot_gazebo_publisher/src/listener.py | ingjavierpinilla/youBot-Gazebo-Publisher | 9314f5c471cde91127d76ba205ce6259e595145a | [
"MIT"
] | null | null | null | youbot_gazebo_publisher/src/listener.py | ingjavierpinilla/youBot-Gazebo-Publisher | 9314f5c471cde91127d76ba205ce6259e595145a | [
"MIT"
] | null | null | null | youbot_gazebo_publisher/src/listener.py | ingjavierpinilla/youBot-Gazebo-Publisher | 9314f5c471cde91127d76ba205ce6259e595145a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import rospy
from std_msgs.msg import String
from nav_msgs.msg import Odometry
from trajectory_msgs.msg import JointTrajectory
from control_msgs.msg import JointTrajectoryControllerState
if __name__ == "__main__":
listener()
| 24.861111 | 102 | 0.746369 |
5895c3e0dafc21f11b778b930d6d27f00014cab8 | 75,699 | py | Python | main.py | hustleer/Discord-Encouragement-Bot | 4105d1e81fa0e76ade7cfd293dd82ea610064f58 | [
"Apache-2.0"
] | null | null | null | main.py | hustleer/Discord-Encouragement-Bot | 4105d1e81fa0e76ade7cfd293dd82ea610064f58 | [
"Apache-2.0"
] | null | null | null | main.py | hustleer/Discord-Encouragement-Bot | 4105d1e81fa0e76ade7cfd293dd82ea610064f58 | [
"Apache-2.0"
] | null | null | null | #Botpic:https://upload.wikimedia.org/wikipedia/commons/thumb/b/b8/Red_Rose_Photography.jpg/800px-Red_Rose_Photography.jpg
#Botpic:https://commons.wikimedia.org/wiki/File:Red_Rose_Photography.jpg
#reference:https://www.youtube.com/watch?v=SPTfmiYiuok
import discord
import os
import requests
import json
import math, ra... | 34.03732 | 253 | 0.588462 |
589634be0915da002b383091ea3d6a080249430a | 9,862 | py | Python | mwp_solver/module/Layer/transformer_layer.py | max-stack/MWP-SS-Metrics | 01268f2d6da716596216b04de4197e345b96c219 | [
"MIT"
] | null | null | null | mwp_solver/module/Layer/transformer_layer.py | max-stack/MWP-SS-Metrics | 01268f2d6da716596216b04de4197e345b96c219 | [
"MIT"
] | null | null | null | mwp_solver/module/Layer/transformer_layer.py | max-stack/MWP-SS-Metrics | 01268f2d6da716596216b04de4197e345b96c219 | [
"MIT"
] | null | null | null | # Code Taken from https://github.com/LYH-YF/MWPToolkit
# -*- encoding: utf-8 -*-
# @Author: Yihuai Lan
# @Time: 2021/08/29 22:05:03
# @File: transformer_layer.py
import torch
import math
from torch import nn
from torch.nn import functional as F
from transformers.activations import gelu_new as gelu_bert
from module... | 43.831111 | 205 | 0.688806 |
5897a699b6d877a1d06ab69aa68b4566e5a0268c | 6,564 | py | Python | tests/4_ckks_basics.py | TimTam725/SEAL-true | 87c3f3f345b7dc5f49380556c55a85a7efa45bb6 | [
"MIT"
] | null | null | null | tests/4_ckks_basics.py | TimTam725/SEAL-true | 87c3f3f345b7dc5f49380556c55a85a7efa45bb6 | [
"MIT"
] | null | null | null | tests/4_ckks_basics.py | TimTam725/SEAL-true | 87c3f3f345b7dc5f49380556c55a85a7efa45bb6 | [
"MIT"
] | null | null | null | import math
from seal import *
from seal_helper import *
if __name__ == '__main__':
example_ckks_basics()
| 35.673913 | 84 | 0.655088 |
5899ee9d789144345b8642bab6672fe498055f42 | 2,422 | py | Python | FigureTable/NeuroPathRegions/barplots.py | vkola-lab/multi-task | 6a61db4223e1812744f13028747b07e2f840cc0b | [
"MIT"
] | 1 | 2021-12-19T01:45:01.000Z | 2021-12-19T01:45:01.000Z | FigureTable/NeuroPathRegions/barplots.py | vkola-lab/multi-task | 6a61db4223e1812744f13028747b07e2f840cc0b | [
"MIT"
] | null | null | null | FigureTable/NeuroPathRegions/barplots.py | vkola-lab/multi-task | 6a61db4223e1812744f13028747b07e2f840cc0b | [
"MIT"
] | 1 | 2022-03-14T18:30:23.000Z | 2022-03-14T18:30:23.000Z | from correlate import *
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
from matplotlib import rc, rcParams
rc('axes', linewidth=1)
rc('font', weight='bold', size=10)
if __name__ == "__main__":
years = 2
layername = 'block2BN'
time_threshold, type = 365*years, 'COG'
folder = ty... | 36.69697 | 143 | 0.627168 |
589a8463ce8f13fdbedded623d8ccbad3c17d953 | 4,549 | py | Python | examples/distributed_autofaiss_n_indices.py | Rexiome/autofaiss | 79d7c396819ffd6859edde17c6958c1c3338b29b | [
"Apache-2.0"
] | null | null | null | examples/distributed_autofaiss_n_indices.py | Rexiome/autofaiss | 79d7c396819ffd6859edde17c6958c1c3338b29b | [
"Apache-2.0"
] | null | null | null | examples/distributed_autofaiss_n_indices.py | Rexiome/autofaiss | 79d7c396819ffd6859edde17c6958c1c3338b29b | [
"Apache-2.0"
] | null | null | null | """
An example of running autofaiss by pyspark to produce N indices.
You need to install pyspark before using the following example.
"""
from typing import Dict
import faiss
import numpy as np
from autofaiss import build_index
# You'd better create a spark session before calling build_index,
# otherwise, a spark se... | 34.992308 | 135 | 0.675533 |
589dcbc08792dc79d40776858af24dca67ad7bfe | 4,170 | py | Python | rbkcli/core/handlers/callback.py | rubrikinc/rbkcli | 62bbb20d15c78d2554d7258bdae655452ac826c7 | [
"MIT"
] | 10 | 2019-07-23T13:13:16.000Z | 2022-03-04T17:48:10.000Z | rbkcli/core/handlers/callback.py | rubrikinc/rbkcli | 62bbb20d15c78d2554d7258bdae655452ac826c7 | [
"MIT"
] | 19 | 2019-08-22T06:23:09.000Z | 2021-12-28T04:04:52.000Z | rbkcli/core/handlers/callback.py | rubrikinc/rbkcli | 62bbb20d15c78d2554d7258bdae655452ac826c7 | [
"MIT"
] | 5 | 2019-08-06T14:29:35.000Z | 2021-06-17T20:35:17.000Z | """Callback module for rbkcli."""
import json
from rbkcli.core.handlers.inputs import InputHandler
from rbkcli.base.essentials import DotDict, RbkcliException
from rbkcli.core.handlers import ApiTargetTools
from rbkcli.core.handlers.outputs import OutputHandler
| 37.232143 | 90 | 0.591367 |
589e413db07bdd7cf6dcd6e3ab66ffc0b716eb5c | 1,001 | py | Python | portrait/webapp/migrations/0001_initial.py | andela-sjames/Portrait | 83074e3d16d8009a71b674b6859f7c276b8d6537 | [
"MIT"
] | null | null | null | portrait/webapp/migrations/0001_initial.py | andela-sjames/Portrait | 83074e3d16d8009a71b674b6859f7c276b8d6537 | [
"MIT"
] | null | null | null | portrait/webapp/migrations/0001_initial.py | andela-sjames/Portrait | 83074e3d16d8009a71b674b6859f7c276b8d6537 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.1 on 2019-05-16 23:28
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| 34.517241 | 152 | 0.631369 |
589e51c361515efc2c983bdbd855621e6ab93aac | 9,950 | py | Python | src/greenbudget/app/group/serializers.py | nickmflorin/django-proper-architecture-testing | da7c4019697e85f921695144375d2f548f1e98ad | [
"MIT"
] | null | null | null | src/greenbudget/app/group/serializers.py | nickmflorin/django-proper-architecture-testing | da7c4019697e85f921695144375d2f548f1e98ad | [
"MIT"
] | null | null | null | src/greenbudget/app/group/serializers.py | nickmflorin/django-proper-architecture-testing | da7c4019697e85f921695144375d2f548f1e98ad | [
"MIT"
] | null | null | null | from rest_framework import serializers, exceptions
from greenbudget.lib.rest_framework_utils.serializers import (
EnhancedModelSerializer)
from greenbudget.app.account.models import BudgetAccount, TemplateAccount
from greenbudget.app.tagging.serializers import ColorField
from greenbudget.app.subaccount.models imp... | 37.689394 | 80 | 0.63206 |
58a0bffac08dce61ed79b44c63defce1adefa9d1 | 12,103 | py | Python | objects/CSCG/_2d/mesh/domain/inputs/base.py | mathischeap/mifem | 3242e253fb01ca205a76568eaac7bbdb99e3f059 | [
"MIT"
] | 1 | 2020-10-14T12:48:35.000Z | 2020-10-14T12:48:35.000Z | objects/CSCG/_2d/mesh/domain/inputs/base.py | mathischeap/mifem | 3242e253fb01ca205a76568eaac7bbdb99e3f059 | [
"MIT"
] | null | null | null | objects/CSCG/_2d/mesh/domain/inputs/base.py | mathischeap/mifem | 3242e253fb01ca205a76568eaac7bbdb99e3f059 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
INTRO
@author: Yi Zhang. Created on Tue May 21 11:57:52 2019
Department of Aerodynamics
Faculty of Aerospace Engineering
TU Delft,
Delft, the Netherlands
"""
import inspect
from screws.freeze.main import FrozenOnly
from typing import Dict, Union
import ... | 36.345345 | 125 | 0.629513 |
58a1f761a8b86a42b461b76e20b0ebb5fa21fa7a | 4,098 | py | Python | src/sage/modules/vector_symbolic_dense.py | sloebrich/sage | b8f53f72e817e78722ad1b40d70aa9071426700b | [
"BSL-1.0"
] | 1 | 2020-05-19T22:34:03.000Z | 2020-05-19T22:34:03.000Z | src/sage/modules/vector_symbolic_dense.py | sbt4104/sage | 2cbd93e0b78dec701f4b7ad9271d3b1e967bcd6c | [
"BSL-1.0"
] | null | null | null | src/sage/modules/vector_symbolic_dense.py | sbt4104/sage | 2cbd93e0b78dec701f4b7ad9271d3b1e967bcd6c | [
"BSL-1.0"
] | 3 | 2020-03-29T17:13:36.000Z | 2021-05-03T18:11:28.000Z | """
Vectors over the symbolic ring.
Implements vectors over the symbolic ring.
AUTHORS:
- Robert Bradshaw (2011-05-25): Added more element-wise simplification methods
- Joris Vankerschaver (2011-05-15): Initial version
EXAMPLES::
sage: x, y = var('x, y')
sage: u = vector([sin(x)^2 + cos(x)^2, log(2*y) + l... | 34.728814 | 108 | 0.59346 |
58a347a92a051b6eeb3be14043e523039fd31e40 | 784 | py | Python | backend/app/models/weather.py | francoiscolombo/webnews | 2f4c3fa5343919e6c658d97aebec4997d4d7ea48 | [
"MIT"
] | null | null | null | backend/app/models/weather.py | francoiscolombo/webnews | 2f4c3fa5343919e6c658d97aebec4997d4d7ea48 | [
"MIT"
] | 4 | 2021-03-10T12:26:29.000Z | 2022-02-27T02:00:32.000Z | backend/app/models/weather.py | francoiscolombo/webnews | 2f4c3fa5343919e6c658d97aebec4997d4d7ea48 | [
"MIT"
] | null | null | null | from app import db
from app.models.serializer import Serializer
| 32.666667 | 70 | 0.672194 |
58a3ad8eacd907942afee36829131b2e139101c4 | 894 | py | Python | conu/backend/nspawn/constants.py | lslebodn/conu | dee6fd958471f77d1c0511b031ea136dfaf8a77a | [
"MIT"
] | 95 | 2018-05-19T14:35:08.000Z | 2022-01-08T23:31:40.000Z | conu/backend/nspawn/constants.py | lslebodn/conu | dee6fd958471f77d1c0511b031ea136dfaf8a77a | [
"MIT"
] | 179 | 2017-09-12T11:14:30.000Z | 2018-04-26T05:36:13.000Z | conu/backend/nspawn/constants.py | lslebodn/conu | dee6fd958471f77d1c0511b031ea136dfaf8a77a | [
"MIT"
] | 16 | 2018-05-09T14:15:32.000Z | 2021-08-02T21:11:33.000Z | # -*- coding: utf-8 -*-
#
# Copyright Contributors to the Conu project.
# SPDX-License-Identifier: MIT
#
# TODO: move this line to some generic constants, instead of same in
# docker and nspawn
CONU_ARTIFACT_TAG = 'CONU.'
CONU_IMAGES_STORE = "/opt/conu-nspawn-images/"
CONU_NSPAWN_BASEPACKAGES = [
"dnf",
"ipro... | 22.35 | 68 | 0.587248 |
58a653052f6df764ec062ee02680225f5a15d5ec | 805 | py | Python | onnxruntime/python/tools/quantization/operators/qdq_base_operator.py | mszhanyi/onnxruntime | 6f85d3e5c81c919022ac4a77e5a051da8518b15d | [
"MIT"
] | 669 | 2018-12-03T22:00:31.000Z | 2019-05-06T19:42:49.000Z | onnxruntime/python/tools/quantization/operators/qdq_base_operator.py | mszhanyi/onnxruntime | 6f85d3e5c81c919022ac4a77e5a051da8518b15d | [
"MIT"
] | 440 | 2018-12-03T21:09:56.000Z | 2019-05-06T20:47:23.000Z | onnxruntime/python/tools/quantization/operators/qdq_base_operator.py | mszhanyi/onnxruntime | 6f85d3e5c81c919022ac4a77e5a051da8518b15d | [
"MIT"
] | 140 | 2018-12-03T21:15:28.000Z | 2019-05-06T18:02:36.000Z | import itertools
from ..quant_utils import QuantizedValue, QuantizedValueType, attribute_to_kwarg, quantize_nparray
from .base_operator import QuantOperatorBase
| 32.2 | 106 | 0.719255 |
58a66b1c1e9cbe9103fe7260fec4a45f53280f13 | 495 | py | Python | baya/tests/models.py | hrichards/baya | f319cef5e95cd6a166265d51ae0ea236b6f65be3 | [
"MIT"
] | null | null | null | baya/tests/models.py | hrichards/baya | f319cef5e95cd6a166265d51ae0ea236b6f65be3 | [
"MIT"
] | 1 | 2018-12-28T16:53:42.000Z | 2018-12-28T16:53:42.000Z | baya/tests/models.py | hrichards/baya | f319cef5e95cd6a166265d51ae0ea236b6f65be3 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
| 21.521739 | 47 | 0.711111 |
58a67e64a1b78dbe199317a20cf65d4984a16e33 | 7,598 | py | Python | code/rec_eval.py | dawenl/content_wmf | b3e0a8eeb1b28836f280997c47444786afe91d3f | [
"MIT"
] | 24 | 2016-09-18T10:28:07.000Z | 2021-08-21T14:48:01.000Z | code/rec_eval.py | dawenl/content_wmf | b3e0a8eeb1b28836f280997c47444786afe91d3f | [
"MIT"
] | null | null | null | code/rec_eval.py | dawenl/content_wmf | b3e0a8eeb1b28836f280997c47444786afe91d3f | [
"MIT"
] | 15 | 2015-10-29T14:46:03.000Z | 2020-03-12T09:35:55.000Z | import bottleneck as bn
import numpy as np
from scipy import sparse
"""
All the data should be in the shape of (n_users, n_items)
All the latent factors should in the shape of (n_users/n_items, n_components)
1. train_data refers to the data that was used to train the model
2. heldout_data refers to the data that wa... | 37.613861 | 79 | 0.633325 |
58a6b4335eac35be6ee8f5597bc84e5d66427621 | 1,295 | py | Python | pgdrive/tests/vis_block/vis_std_t_intersection.py | decisionforce/pgdrive | 19af5d09a40a68a2a5f8b3ac8b40f109e71c26ee | [
"Apache-2.0"
] | 97 | 2020-12-25T06:02:17.000Z | 2022-01-16T06:58:39.000Z | pgdrive/tests/vis_block/vis_std_t_intersection.py | decisionforce/pgdrive | 19af5d09a40a68a2a5f8b3ac8b40f109e71c26ee | [
"Apache-2.0"
] | 192 | 2020-12-25T07:58:17.000Z | 2021-08-28T10:13:59.000Z | pgdrive/tests/vis_block/vis_std_t_intersection.py | decisionforce/pgdrive | 19af5d09a40a68a2a5f8b3ac8b40f109e71c26ee | [
"Apache-2.0"
] | 11 | 2020-12-29T11:23:44.000Z | 2021-12-06T23:25:49.000Z | from pgdrive.component.blocks.curve import Curve
from pgdrive.component.blocks.first_block import FirstPGBlock
from pgdrive.component.blocks.std_t_intersection import StdTInterSection
from pgdrive.component.blocks.straight import Straight
from pgdrive.component.road.road_network import RoadNetwork
from pgdrive.tests.vi... | 40.46875 | 86 | 0.766023 |
58a742e0b8ad8aa4381262e4194d124ffb86733b | 6,241 | py | Python | version/v 4.0/spider/config.py | zhong-yan/neteasenews | 4dda8ef13d44f08e90e3869f4a7d972fb4b9feed | [
"Apache-2.0"
] | null | null | null | version/v 4.0/spider/config.py | zhong-yan/neteasenews | 4dda8ef13d44f08e90e3869f4a7d972fb4b9feed | [
"Apache-2.0"
] | null | null | null | version/v 4.0/spider/config.py | zhong-yan/neteasenews | 4dda8ef13d44f08e90e3869f4a7d972fb4b9feed | [
"Apache-2.0"
] | null | null | null | from selenium import webdriver
BASE_URL = 'http://news.163.com/'
# ajax,ajax,?callback=data_callback'
# json?..json
JSON_INDEX_URLS = [
'http://temp.163.com/special/00804KVA/cm_yaowen.js?callback=data_callback',
'http://house.163.com/special/00078GU7/guangzhou_xw_news_v1.js?callback=data_callback',
'http:/... | 54.745614 | 92 | 0.737863 |
58a7437e24bf8faeb840154530f279b8c6eee778 | 2,044 | py | Python | assignments/10_conserved/conserved.py | brianUA/be434-fall-2021 | bf0bb3f1c8129599818b98b7ee25b39aa926fd1f | [
"MIT"
] | null | null | null | assignments/10_conserved/conserved.py | brianUA/be434-fall-2021 | bf0bb3f1c8129599818b98b7ee25b39aa926fd1f | [
"MIT"
] | null | null | null | assignments/10_conserved/conserved.py | brianUA/be434-fall-2021 | bf0bb3f1c8129599818b98b7ee25b39aa926fd1f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Author : Brian Scott <brianscott@email.arizona.edu>
Date : 2021-11-09
Purpose: FInd the similarities between sequences.
"""
import argparse
# --------------------------------------------------
def get_args():
"""Get command-line arguments"""
parser = argparse.ArgumentParser(
... | 27.621622 | 73 | 0.54501 |
58a9853e032d70b843b4faffe8df15e8491bea40 | 13,999 | py | Python | ldss_spec/tools/spec_red.py | dsanmartim/ldss_specred | 8274ce0cf0eddfc7649106d7b9d0ce733e69c722 | [
"MIT"
] | null | null | null | ldss_spec/tools/spec_red.py | dsanmartim/ldss_specred | 8274ce0cf0eddfc7649106d7b9d0ce733e69c722 | [
"MIT"
] | null | null | null | ldss_spec/tools/spec_red.py | dsanmartim/ldss_specred | 8274ce0cf0eddfc7649106d7b9d0ce733e69c722 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf8 -*-
# Loading a few python packages
import os
import glob
import warnings
from astropy import log
from astropy.io import fits as pyfits
import json
# Loading iraf packages
from pyraf import iraf
from pyraf.iraf import onedspec
from pyraf.iraf import twodspec, apextract
d... | 37.733154 | 129 | 0.572541 |
58a9c2475f1d862dde62daacb24c84dc06c0e208 | 1,667 | py | Python | lookupService/helpers/job_scheduler.py | selfjell/MirMachine | b61b555e7d0942f6fdcc53634469fffea2b92f4c | [
"MIT"
] | 1 | 2021-11-11T12:47:20.000Z | 2021-11-11T12:47:20.000Z | lookupService/helpers/job_scheduler.py | selfjell/MirMachine | b61b555e7d0942f6fdcc53634469fffea2b92f4c | [
"MIT"
] | null | null | null | lookupService/helpers/job_scheduler.py | selfjell/MirMachine | b61b555e7d0942f6fdcc53634469fffea2b92f4c | [
"MIT"
] | null | null | null | from ..models import Job
from engine.scripts.mirmachine_args import run_mirmachine
from .socket_helper import announce_status_change, announce_queue_position, announce_initiation, announce_completed
from .maintainer import clean_up_temporary_files
from django.utils import timezone
from MirMachineWebapp import user_conf... | 30.309091 | 115 | 0.718056 |
542d0bbb398d02e9717cfe574c3d52048a5a205b | 836 | py | Python | Exercicios Colecoes Python/exercicio 33 - secao 7 - p1.py | cristinamais/exercicios_python | 8a09b0b68ffaa62d13afb952998e890a79667c7e | [
"MIT"
] | null | null | null | Exercicios Colecoes Python/exercicio 33 - secao 7 - p1.py | cristinamais/exercicios_python | 8a09b0b68ffaa62d13afb952998e890a79667c7e | [
"MIT"
] | null | null | null | Exercicios Colecoes Python/exercicio 33 - secao 7 - p1.py | cristinamais/exercicios_python | 8a09b0b68ffaa62d13afb952998e890a79667c7e | [
"MIT"
] | null | null | null | """
33 - Faca um programa que leia um vetor de 15 posicoes e o compacte, ou seja, elimine as posicoes com valor zero.
Para isso, todos os elementos a frente do valor zero, devem ser movidos uma posicao para tras no vetor.
"""
"""
vetor = []
count = 0
for x in range(1, 16):
vetor.append(int(input(f'Digite o {x}/15... | 22 | 113 | 0.626794 |
542d7e740031b1e39b6ee826c5f6675358cb832c | 533 | py | Python | multimedia/Pygame/02-plot_pixels.py | vicente-gonzalez-ruiz/python-tutorial | e6a79510a0b3663786d6476a40e79fc8e8726f61 | [
"CC0-1.0"
] | 4 | 2017-03-06T09:49:11.000Z | 2019-10-16T00:09:38.000Z | multimedia/Pygame/02-plot_pixels.py | vicente-gonzalez-ruiz/python-tutorial | e6a79510a0b3663786d6476a40e79fc8e8726f61 | [
"CC0-1.0"
] | null | null | null | multimedia/Pygame/02-plot_pixels.py | vicente-gonzalez-ruiz/python-tutorial | e6a79510a0b3663786d6476a40e79fc8e8726f61 | [
"CC0-1.0"
] | 7 | 2017-11-02T11:00:30.000Z | 2020-01-31T22:41:27.000Z | import pygame
import my_colors as color
pygame.init()
screen_width = 800
screen_height = 600
screen_size = (screen_width, screen_height)
screen = pygame.display.set_mode(screen_size)
pygame.display.set_caption("Search the green pixel at the coordinates (x=10, y=100)")
running = True
while running:
screen.set_at((... | 24.227273 | 85 | 0.718574 |
542ed8915929d9082655f10271231d6e8237f5b5 | 2,848 | py | Python | bin/models_vs_uniprot_check/ViPhOG_chunks_rank_summ.py | alexcorm/emg-viral-pipeline | f367002f0e1e375840e5696323bde65f7accb31f | [
"Apache-2.0"
] | 30 | 2020-05-18T14:02:34.000Z | 2022-03-16T20:04:25.000Z | bin/models_vs_uniprot_check/ViPhOG_chunks_rank_summ.py | lynceuslq/emg-viral-pipeline | 53a99b84ed93428ee88d61e529bcf6799f5eec94 | [
"Apache-2.0"
] | 45 | 2020-04-30T09:45:03.000Z | 2022-03-21T09:10:21.000Z | bin/models_vs_uniprot_check/ViPhOG_chunks_rank_summ.py | lynceuslq/emg-viral-pipeline | 53a99b84ed93428ee88d61e529bcf6799f5eec94 | [
"Apache-2.0"
] | 12 | 2020-06-02T12:43:49.000Z | 2022-02-22T13:09:13.000Z | #!/usr/bin/env python3
import os
import re
import glob
import sys
import operator
import ast
import argparse
###############################################################################################
# This script was written as part of the analysis conducted on the output generated by #
# hmmsearch, when... | 45.935484 | 293 | 0.652388 |
54318f46c52690013bfe7cc4791a2d7dcc84bf04 | 6,349 | py | Python | bika/lims/permissions.py | hocinebendou/bika.gsoc | 85bc0c587de7f52073ae0e89bddbc77bf875f295 | [
"MIT"
] | null | null | null | bika/lims/permissions.py | hocinebendou/bika.gsoc | 85bc0c587de7f52073ae0e89bddbc77bf875f295 | [
"MIT"
] | null | null | null | bika/lims/permissions.py | hocinebendou/bika.gsoc | 85bc0c587de7f52073ae0e89bddbc77bf875f295 | [
"MIT"
] | null | null | null | """ All permissions are defined here.
They are also defined in permissions.zcml.
The two files must be kept in sync.
bika.lims.__init__ imports * from this file, so
bika.lims.PermName or bika.lims.permissions.PermName are
both valid.
"""
from Products.CMFCore.permissions import AddPortalContent
#... | 34.505435 | 79 | 0.695228 |
5431f5aaf571f8d48be62c018da65e8a8b984c28 | 5,140 | py | Python | python/venv/lib/python2.7/site-packages/openstack/tests/unit/telemetry/v2/test_sample.py | sjsucohort6/openstack | 8471e6e599c3f52319926a582358358ef84cbadb | [
"MIT"
] | null | null | null | python/venv/lib/python2.7/site-packages/openstack/tests/unit/telemetry/v2/test_sample.py | sjsucohort6/openstack | 8471e6e599c3f52319926a582358358ef84cbadb | [
"MIT"
] | null | null | null | python/venv/lib/python2.7/site-packages/openstack/tests/unit/telemetry/v2/test_sample.py | sjsucohort6/openstack | 8471e6e599c3f52319926a582358358ef84cbadb | [
"MIT"
] | null | null | null | # 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, software
# distributed under the Li... | 36.978417 | 75 | 0.637743 |
54324dc90f9df188cfe21f89b7c0b9336f381fe0 | 7,645 | py | Python | data_convert/convert_text_to_tree.py | wlof-2/Text2Relation | a1321e3627fee4714d2c39c964d93d12d0802467 | [
"MIT"
] | null | null | null | data_convert/convert_text_to_tree.py | wlof-2/Text2Relation | a1321e3627fee4714d2c39c964d93d12d0802467 | [
"MIT"
] | null | null | null | data_convert/convert_text_to_tree.py | wlof-2/Text2Relation | a1321e3627fee4714d2c39c964d93d12d0802467 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import os
import json
from collections import Counter, defaultdict
from data_convert.format.text2tree import Entity_Type, Text2Tree
from data_convert.task_format.event_extraction import Event, DyIEPP, Conll04
from data_convert.utils import read_file, check_output, data_count... | 45.778443 | 138 | 0.597515 |
5432a871244c2f1064853af01dd1344e9304f2e3 | 1,246 | py | Python | arachnado/utils/spiders.py | wigginzz/arachnado | 8de92625262958e886263b4ccb189f4fc62d7400 | [
"MIT"
] | 2 | 2017-12-26T14:50:14.000Z | 2018-06-12T07:04:08.000Z | arachnado/utils/spiders.py | wigginzz/arachnado | 8de92625262958e886263b4ccb189f4fc62d7400 | [
"MIT"
] | null | null | null | arachnado/utils/spiders.py | wigginzz/arachnado | 8de92625262958e886263b4ccb189f4fc62d7400 | [
"MIT"
] | null | null | null | from scrapy.utils.misc import walk_modules
from scrapy.utils.spider import iter_spider_classes
def get_spider_cls(url, spider_packages, default):
"""
Return spider class based on provided url.
:param url: if it looks like `spider://spidername` it tries to load spider
named `spidername`, otherwise... | 35.6 | 78 | 0.690209 |
543307112090d54acedcff9238e2cea7185b6c19 | 1,165 | py | Python | Social_Encoders.py | Haroon96/GraphRec-WWW19 | fc28eee70fad927d761c15cab97de52f5955dcfd | [
"MIT"
] | null | null | null | Social_Encoders.py | Haroon96/GraphRec-WWW19 | fc28eee70fad927d761c15cab97de52f5955dcfd | [
"MIT"
] | null | null | null | Social_Encoders.py | Haroon96/GraphRec-WWW19 | fc28eee70fad927d761c15cab97de52f5955dcfd | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
from torch.nn import init
import torch.nn.functional as F
| 32.361111 | 103 | 0.654936 |
5433996009680b5160e896f44a3bff1c9d65a2bb | 3,280 | py | Python | deephub/utils/__main__.py | deeplab-ai/deephub | b1d271436fab69cdfad14f19fa2e29c5338f18d6 | [
"Apache-2.0"
] | 8 | 2019-10-17T12:46:13.000Z | 2020-03-12T08:09:40.000Z | deephub/utils/__main__.py | deeplab-ai/deephub | b1d271436fab69cdfad14f19fa2e29c5338f18d6 | [
"Apache-2.0"
] | 12 | 2019-10-22T13:11:56.000Z | 2022-02-10T00:23:30.000Z | deephub/utils/__main__.py | deeplab-ai/deephub | b1d271436fab69cdfad14f19fa2e29c5338f18d6 | [
"Apache-2.0"
] | 1 | 2019-10-17T13:21:27.000Z | 2019-10-17T13:21:27.000Z | import click
import time
from deephub.common.io import resolve_glob_pattern
from deephub.models.feeders.tfrecords.meta import generate_fileinfo, get_fileinfo, TFRecordValidationError, \
TFRecordInfoMissingError
| 33.814433 | 115 | 0.633232 |
543471083e8ed6e6fd0d08082e7de83061292ab1 | 10,072 | py | Python | utils_mit_im.py | putama/visualcomposition | ada3d8e71b79a5f3e239718f3cdac58eca5e1327 | [
"MIT"
] | null | null | null | utils_mit_im.py | putama/visualcomposition | ada3d8e71b79a5f3e239718f3cdac58eca5e1327 | [
"MIT"
] | null | null | null | utils_mit_im.py | putama/visualcomposition | ada3d8e71b79a5f3e239718f3cdac58eca5e1327 | [
"MIT"
] | null | null | null | import numpy as np
import cPickle
import os
from scipy.io import loadmat
import time
import h5py
import json
import copy
import bz2
#extension with "." e.g. .jpg
def mkdir_if_missing(output_dir):
"""
def mkdir_if_missing(output_dir)
"""
if not os.path.exists(output_dir):
try:
os.makedirs(output_dir... | 32.807818 | 141 | 0.652502 |
5435607e763096b9e0e81fbf68d44b9c31b6852e | 1,085 | py | Python | python_teste/python_aulas/aula_94.py | BrunoDantasMoreira/projectsPython | bd73ab0b3c067456407f227ed2ece42e7f21ddfc | [
"MIT"
] | 1 | 2020-07-27T14:18:08.000Z | 2020-07-27T14:18:08.000Z | python_teste/python_aulas/aula_94.py | BrunoDantasMoreira/projectsPython | bd73ab0b3c067456407f227ed2ece42e7f21ddfc | [
"MIT"
] | null | null | null | python_teste/python_aulas/aula_94.py | BrunoDantasMoreira/projectsPython | bd73ab0b3c067456407f227ed2ece42e7f21ddfc | [
"MIT"
] | null | null | null | dict = {}
lista = []
soma = 0
while True:
dict['nome'] = str(input('Nome: ')).capitalize()
dict['sexo'] = str(input('Sexo: ')).strip().upper()[0]
while dict['sexo'] not in 'MF':
print('ERRO! Por favor, digite apenas M ou F')
dict['sexo'] = str(input('Sexo: ')).strip().upper()[0]
dict['id... | 33.90625 | 65 | 0.562212 |
543805ee596eba6c41f93710a63dc5eaf28196da | 7,894 | py | Python | nlp/layers/linears.py | zhihao-chen/NLP-experiments | c7512276050f5b8489adb4c745fa970ea8119646 | [
"MIT"
] | 4 | 2021-11-10T03:49:28.000Z | 2022-03-24T02:18:44.000Z | nlp/layers/linears.py | zhihao-chen/NLP-experiments | c7512276050f5b8489adb4c745fa970ea8119646 | [
"MIT"
] | null | null | null | nlp/layers/linears.py | zhihao-chen/NLP-experiments | c7512276050f5b8489adb4c745fa970ea8119646 | [
"MIT"
] | 1 | 2021-11-14T18:01:18.000Z | 2021-11-14T18:01:18.000Z | # -*- coding: utf8 -*-
"""
======================================
Project Name: NLP
File Name: linears
Author: czh
Create Date: 2021/11/15
--------------------------------------
Change Activity:
======================================
"""
import math
import torch
import torch.nn as nn
import torch.... | 38.8867 | 117 | 0.673676 |
5438824c4ced393aa643d5e74bfabb01555d5d5c | 2,037 | py | Python | components/siren.py | TalaoDAO/ecole42 | 2236f24527966195c953f222f9715ee967348b0f | [
"Apache-2.0"
] | 1 | 2021-09-22T16:30:57.000Z | 2021-09-22T16:30:57.000Z | components/siren.py | TalaoDAO/credential-repository | d36c694d9e90ead8a35bd8cc5be47c6d951474ba | [
"Apache-2.0"
] | null | null | null | components/siren.py | TalaoDAO/credential-repository | d36c694d9e90ead8a35bd8cc5be47c6d951474ba | [
"Apache-2.0"
] | null | null | null | import requests
| 55.054054 | 370 | 0.571919 |
5438db8d908a649df431fff16b0d49559bcdf6d6 | 2,036 | py | Python | Week 2/medt_opdracht_9.py | zowie93/ISCRIPT | fa3e5122be8ef47b23c23554ec9e1c04b37da562 | [
"MIT"
] | null | null | null | Week 2/medt_opdracht_9.py | zowie93/ISCRIPT | fa3e5122be8ef47b23c23554ec9e1c04b37da562 | [
"MIT"
] | null | null | null | Week 2/medt_opdracht_9.py | zowie93/ISCRIPT | fa3e5122be8ef47b23c23554ec9e1c04b37da562 | [
"MIT"
] | null | null | null | """
Opdracht 9 - Loonbrief
https://dodona.ugent.be/nl/exercises/990750894/
"""
# functie voor start amount
# functie voor salaris
# functie voor gemiddeld salaris
if __name__ == '__main__':
main()
| 24.238095 | 71 | 0.651768 |
543993f4662d66952cafe8284d07a22ac01ccee7 | 1,845 | py | Python | 4.1.1-simple-object-tracking-video.py | CleverYh/opencv_py | 20b28e8ef20fa3015f4f7c20ed69fed954c16805 | [
"MIT"
] | 2 | 2020-04-05T13:44:13.000Z | 2020-07-06T08:53:58.000Z | 4.1.1-simple-object-tracking-video.py | CleverYh/opencv_py | 20b28e8ef20fa3015f4f7c20ed69fed954c16805 | [
"MIT"
] | null | null | null | 4.1.1-simple-object-tracking-video.py | CleverYh/opencv_py | 20b28e8ef20fa3015f4f7c20ed69fed954c16805 | [
"MIT"
] | null | null | null | # coding: utf-8
from cv2 import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while(1):
# Take each frame
_, frame = cap.read()
# Convert BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# define range of blue color in HSV
lower_blue = np.array([110,50,50])
upper_blue = np.arr... | 37.653061 | 256 | 0.701897 |
5439f19ce894429f825edd092b433b960bae49d4 | 9,411 | py | Python | src/peering/azext_peering/custom.py | michimune/azure-cli-extensions | 697e2c674e5c0825d44c72d714542fe01331e107 | [
"MIT"
] | 1 | 2022-03-22T15:02:32.000Z | 2022-03-22T15:02:32.000Z | src/peering/azext_peering/custom.py | michimune/azure-cli-extensions | 697e2c674e5c0825d44c72d714542fe01331e107 | [
"MIT"
] | 1 | 2021-02-10T22:04:59.000Z | 2021-02-10T22:04:59.000Z | src/peering/azext_peering/custom.py | michimune/azure-cli-extensions | 697e2c674e5c0825d44c72d714542fe01331e107 | [
"MIT"
] | 1 | 2021-06-03T19:31:10.000Z | 2021-06-03T19:31:10.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 42.013393 | 154 | 0.604824 |
543ac48e108696b4125575c0e8b5fa9098b4ddb3 | 830 | py | Python | votes/migrations/0004_team.py | aiventimptner/horizon | 6e2436bfa81cad55fefd4c0bb67df3c36a9b6deb | [
"MIT"
] | null | null | null | votes/migrations/0004_team.py | aiventimptner/horizon | 6e2436bfa81cad55fefd4c0bb67df3c36a9b6deb | [
"MIT"
] | 1 | 2021-06-10T19:59:07.000Z | 2021-06-10T19:59:07.000Z | votes/migrations/0004_team.py | aiventimptner/horizon | 6e2436bfa81cad55fefd4c0bb67df3c36a9b6deb | [
"MIT"
] | null | null | null | # Generated by Django 3.1.4 on 2020-12-30 00:27
from django.conf import settings
from django.db import migrations, models
| 31.923077 | 114 | 0.609639 |
543ac83c6ae50796c548f885ed09b3775131b174 | 576 | py | Python | Python/Day 21/score.py | Aswinpkrishnan94/Fabulous-Python | bafba6d5b3889008299c012625b4a9e1b63b1d44 | [
"MIT"
] | null | null | null | Python/Day 21/score.py | Aswinpkrishnan94/Fabulous-Python | bafba6d5b3889008299c012625b4a9e1b63b1d44 | [
"MIT"
] | null | null | null | Python/Day 21/score.py | Aswinpkrishnan94/Fabulous-Python | bafba6d5b3889008299c012625b4a9e1b63b1d44 | [
"MIT"
] | null | null | null | from turtle import Turtle
FONT = ("Arial", 10, "normal")
ALIGN = "center" | 23.04 | 67 | 0.553819 |
543c4f51f177e890cbcf4f4101beb26f2ee15486 | 81 | py | Python | tests/integration/testdata/buildcmd/PyLayerMake/layer.py | renanmontebelo/aws-sam-cli | b5cfc46aa9726b5cd006df8ecc08d1b4eedeb9ea | [
"BSD-2-Clause",
"Apache-2.0"
] | 2,959 | 2018-05-08T21:48:56.000Z | 2020-08-24T14:35:39.000Z | tests/integration/testdata/buildcmd/PyLayerMake/layer.py | renanmontebelo/aws-sam-cli | b5cfc46aa9726b5cd006df8ecc08d1b4eedeb9ea | [
"BSD-2-Clause",
"Apache-2.0"
] | 1,469 | 2018-05-08T22:44:28.000Z | 2020-08-24T20:19:24.000Z | tests/integration/testdata/buildcmd/PyLayerMake/layer.py | renanmontebelo/aws-sam-cli | b5cfc46aa9726b5cd006df8ecc08d1b4eedeb9ea | [
"BSD-2-Clause",
"Apache-2.0"
] | 642 | 2018-05-08T22:09:19.000Z | 2020-08-17T09:04:37.000Z | import numpy
| 13.5 | 45 | 0.617284 |
543cd354a10448d8c328281db21e317c63dd0072 | 5,520 | py | Python | bcbio/qc/coverage.py | markdunning/bcbio-nextgen | 37b69efcc5b2b3713b8d5cd207cece4cb343380d | [
"MIT"
] | null | null | null | bcbio/qc/coverage.py | markdunning/bcbio-nextgen | 37b69efcc5b2b3713b8d5cd207cece4cb343380d | [
"MIT"
] | null | null | null | bcbio/qc/coverage.py | markdunning/bcbio-nextgen | 37b69efcc5b2b3713b8d5cd207cece4cb343380d | [
"MIT"
] | null | null | null | """Coverage based QC calculations.
"""
import glob
import os
import subprocess
from bcbio.bam import ref, readstats, utils
from bcbio.distributed import transaction
from bcbio.heterogeneity import chromhacks
import bcbio.pipeline.datadict as dd
from bcbio.provenance import do
from bcbio.variation import coverage as co... | 46.386555 | 115 | 0.664312 |
543cef330851534694d86f1be5bca5d7e8614e34 | 1,210 | py | Python | shrike-examples/contoso/utils/arg_utils.py | lynochka/azure-ml-problem-sets | e7e69de763444c5603e4455e35e69e917081a4cc | [
"MIT"
] | 3 | 2021-07-27T16:28:51.000Z | 2021-11-15T18:29:02.000Z | shrike-examples/contoso/utils/arg_utils.py | lynochka/azure-ml-problem-sets | e7e69de763444c5603e4455e35e69e917081a4cc | [
"MIT"
] | null | null | null | shrike-examples/contoso/utils/arg_utils.py | lynochka/azure-ml-problem-sets | e7e69de763444c5603e4455e35e69e917081a4cc | [
"MIT"
] | 7 | 2021-08-09T15:04:03.000Z | 2022-03-09T05:48:56.000Z | """
Utility functions for argument parsing
"""
import argparse
def str2bool(val):
"""
Resolving boolean arguments if they are not given in the standard format
Arguments:
val (bool or string): boolean argument type
Returns:
bool: the desired value {True, False}
"""
if isinstan... | 25.744681 | 100 | 0.638017 |
543dd03030508ee683df7a6d3985dc5051235db5 | 277 | py | Python | tests/test_learner.py | luksurious/faster-teaching | 1493311d5b723ca3f216f537bda8db5907196443 | [
"MIT"
] | 2 | 2020-08-06T13:21:51.000Z | 2021-04-15T04:29:03.000Z | tests/test_learner.py | luksurious/faster-teaching | 1493311d5b723ca3f216f537bda8db5907196443 | [
"MIT"
] | null | null | null | tests/test_learner.py | luksurious/faster-teaching | 1493311d5b723ca3f216f537bda8db5907196443 | [
"MIT"
] | null | null | null | from concepts.letter_addition import LetterAddition
from learners.sim_memoryless_learner import SimMemorylessLearner
| 27.7 | 64 | 0.776173 |
543dded51722ade60b4b464e9cde6ba374678fe4 | 2,536 | py | Python | piper/jde.py | miketarpey/piper | d1620727889228d61fbe448f4747cef9351ede59 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | piper/jde.py | miketarpey/piper | d1620727889228d61fbe448f4747cef9351ede59 | [
"BSD-2-Clause-FreeBSD"
] | 24 | 2021-02-03T17:06:13.000Z | 2021-04-02T13:09:13.000Z | piper/jde.py | miketarpey/piper | d1620727889228d61fbe448f4747cef9351ede59 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | import logging
import pandas as pd
from datetime import datetime
from typing import (
Any,
Callable,
Dict,
Hashable,
Iterable,
List,
NamedTuple,
Optional,
Pattern,
Set,
Tuple,
Union,
)
logger = logging.getLogger(__name__)
# add_jde_batch() {{{1... | 27.868132 | 109 | 0.542587 |
543e07ad4f4ef4e280a96b2a4575d3e61db5448a | 2,159 | py | Python | codes/utils.py | epfml/byzantine-robust-noniid-optimizer | 0e27349ac99235251110d54dd102fda0091bf274 | [
"MIT"
] | 7 | 2021-06-22T03:12:15.000Z | 2022-01-06T16:11:14.000Z | codes/utils.py | epfml/byzantine-robust-noniid-optimizer | 0e27349ac99235251110d54dd102fda0091bf274 | [
"MIT"
] | null | null | null | codes/utils.py | epfml/byzantine-robust-noniid-optimizer | 0e27349ac99235251110d54dd102fda0091bf274 | [
"MIT"
] | 2 | 2021-12-12T13:28:02.000Z | 2022-02-18T13:22:20.000Z | import os
import shutil
import logging
def accuracy(output, target, topk=(1,)):
"""Computes the precision@k for the specified values of k"""
maxk = max(topk)
batch_size = target.size(0)
_, pred = output.topk(maxk, 1, True, True)
pred = pred.t()
correct = pred.eq(target.view(1, -1).expand_a... | 25.104651 | 64 | 0.642427 |
543e913c7932efd8a58e4692b8be276e0e6a692e | 2,090 | py | Python | setup.py | robertjanes/drawbot | 5a0a2ce55cda3f87624ae8c028d9d59aceee3897 | [
"BSD-2-Clause"
] | null | null | null | setup.py | robertjanes/drawbot | 5a0a2ce55cda3f87624ae8c028d9d59aceee3897 | [
"BSD-2-Clause"
] | null | null | null | setup.py | robertjanes/drawbot | 5a0a2ce55cda3f87624ae8c028d9d59aceee3897 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
from __future__ import division, absolute_import, print_function
from setuptools import setup
import os
import re
import shutil
_versionRE = re.compile(r'__version__\s*=\s*\"([^\"]+)\"')
# read the version number for the settings file
with open('drawBot/drawBotSettings.py', "r") as settings:
... | 32.65625 | 247 | 0.688517 |
543fd7e53080b049a8ec4e7ace7dac2f370068e8 | 38,634 | py | Python | pysnmp-with-texts/ZHONE-COM-IP-FILTER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/ZHONE-COM-IP-FILTER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/ZHONE-COM-IP-FILTER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module ZHONE-COM-IP-FILTER-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ZHONE-COM-IP-FILTER-MIB
# Produced by pysmi-0.3.4 at Wed May 1 15:47:04 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 ... | 168.707424 | 2,566 | 0.786354 |
5442d7409922b392e57d7544f376052f8505514b | 11,160 | py | Python | watertap/examples/flowsheets/case_studies/municipal_treatment/municipal_treatment.py | avdudchenko/watertap | ac8d59e015688ff175a8087d2d52272e4f1fe84f | [
"BSD-3-Clause-LBNL"
] | 4 | 2021-11-06T01:13:22.000Z | 2022-02-08T21:16:38.000Z | watertap/examples/flowsheets/case_studies/municipal_treatment/municipal_treatment.py | avdudchenko/watertap | ac8d59e015688ff175a8087d2d52272e4f1fe84f | [
"BSD-3-Clause-LBNL"
] | 233 | 2021-10-13T12:53:44.000Z | 2022-03-31T21:59:50.000Z | watertap/examples/flowsheets/case_studies/municipal_treatment/municipal_treatment.py | avdudchenko/watertap | ac8d59e015688ff175a8087d2d52272e4f1fe84f | [
"BSD-3-Clause-LBNL"
] | 12 | 2021-11-01T19:11:03.000Z | 2022-03-08T22:20:58.000Z | ###############################################################################
# WaterTAP Copyright (c) 2021, The Regents of the University of California,
# through Lawrence Berkeley National Laboratory, Oak Ridge National
# Laboratory, National Renewable Energy Laboratory, and National Energy
# Technology Laboratory ... | 32.631579 | 88 | 0.66819 |
54439c9a0c52b928b7dce1ab1fcc8ffac580ad8b | 2,680 | py | Python | lib/googlecloudsdk/sql/tools/instances/delete.py | IsaacHuang/google-cloud-sdk | 52afa5d1a75dff08f4f5380c5cccc015bf796ca5 | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/sql/tools/instances/delete.py | IsaacHuang/google-cloud-sdk | 52afa5d1a75dff08f4f5380c5cccc015bf796ca5 | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/sql/tools/instances/delete.py | IsaacHuang/google-cloud-sdk | 52afa5d1a75dff08f4f5380c5cccc015bf796ca5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 Google Inc. All Rights Reserved.
"""Deletes a Cloud SQL instance."""
from googlecloudapis.apitools.base import py as apitools_base
from googlecloudsdk.calliope import base
from googlecloudsdk.calliope import exceptions
from googlecloudsdk.core import log
from googlecloudsdk.core.util import console_io... | 31.904762 | 79 | 0.701493 |