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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
633d6db47ffd3a0bfb75a0fe45f30235b4e37486 | 834 | py | Python | Apriori/src/main.py | ranery/Courses-only | 8bc1254076c75b55b536498037ff0594a951d18f | [
"MIT"
] | 2 | 2021-03-31T21:46:58.000Z | 2021-04-04T08:59:50.000Z | Apriori/src/main.py | ranery/Courses-only | 8bc1254076c75b55b536498037ff0594a951d18f | [
"MIT"
] | null | null | null | Apriori/src/main.py | ranery/Courses-only | 8bc1254076c75b55b536498037ff0594a951d18f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@author : Haoran You
"""
import sys
import data
from Apriori import Apriori
from optparse import OptionParser
optparser = OptionParser()
optparser.add_option('--inputFile', dest='input', help='filename containing csv', default='goods.csv')
optparser.add_option('--minSupport', dest='minS', ... | 30.888889 | 112 | 0.736211 |
633d88c667ff815677d77f4463db3ccad4431980 | 8,791 | py | Python | extra/slothclasses/agares.py | Tirithel/sloth-bot | de1f9cc60196d9cd389cdbf38223fa3c35f62eb4 | [
"MIT"
] | null | null | null | extra/slothclasses/agares.py | Tirithel/sloth-bot | de1f9cc60196d9cd389cdbf38223fa3c35f62eb4 | [
"MIT"
] | null | null | null | extra/slothclasses/agares.py | Tirithel/sloth-bot | de1f9cc60196d9cd389cdbf38223fa3c35f62eb4 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
import os
from .player import Player
from extra.menu import ConfirmSkill
import os
from datetime import datetime
bots_and_commands_channel_id = int(os.getenv('BOTS_AND_COMMANDS_CHANNEL_ID'))
| 46.760638 | 173 | 0.663406 |
633fea310c7ede3fcdb48e65d6529aca3feaa371 | 300 | py | Python | WhatsAppManifest/automator/android/__init__.py | riquedev/WhatsAppManifest | bcbbd48f6f9152024a54172886876d3a725a3a62 | [
"MIT"
] | 15 | 2020-03-11T17:31:12.000Z | 2021-11-19T03:26:09.000Z | WhatsAppManifest/automator/android/__init__.py | riquedev/WhatsAppManifest | bcbbd48f6f9152024a54172886876d3a725a3a62 | [
"MIT"
] | 5 | 2021-03-31T19:43:15.000Z | 2022-03-12T00:18:38.000Z | WhatsAppManifest/automator/android/__init__.py | riquedev/WhatsAppManifest | bcbbd48f6f9152024a54172886876d3a725a3a62 | [
"MIT"
] | 4 | 2020-03-11T01:52:57.000Z | 2021-03-16T04:14:33.000Z | """
Module responsible for all automation related to the device
"""
__author__ = 'Henrique da Silva Santos'
__copyright__ = 'Copyright 2020, WhatsAppManifest'
from WhatsAppManifest.automator.android.phone import AndroidPhone
from WhatsAppManifest.automator.android.contacts import AndroidContacts
| 27.272727 | 71 | 0.826667 |
6341b0389a7fba7d8c81d28e1d7d34cd6e28e72b | 1,968 | py | Python | threp_example.py | wasupandceacar/threp_fucker | d6879ce613e189131ff994a41d5d828a3e3b527d | [
"MIT"
] | 24 | 2018-02-12T13:44:57.000Z | 2021-12-16T09:49:54.000Z | threp_example.py | wasupandceacar/threp_fucker | d6879ce613e189131ff994a41d5d828a3e3b527d | [
"MIT"
] | 4 | 2018-03-14T12:16:29.000Z | 2021-12-22T12:03:23.000Z | threp_example.py | wasupandceacar/threp_fucker | d6879ce613e189131ff994a41d5d828a3e3b527d | [
"MIT"
] | 3 | 2020-02-01T12:03:38.000Z | 2021-12-15T18:02:32.000Z | from threp import THReplay
if __name__ == '__main__':
# replay
tr = THReplay('rep_tst/th13_01.rpy')
# rep
# etc. Reimu A Normal All
print(tr.getBaseInfo())
# rep
# character shottype rank stage
# etc. Reimu A Normal All
print(tr.getBaseInfoDic())
# repstagelist
# etc. [1... | 28.521739 | 325 | 0.521341 |
634233844cc354ce43c07fa8d4b0af235345aaef | 901 | py | Python | web/api/tests/test_health_check.py | marcelomansur/maria-quiteria | 953ac1e2caf69e9f44c670d3c4a69e00fff404e4 | [
"MIT"
] | 151 | 2019-11-10T02:18:25.000Z | 2022-01-18T14:28:25.000Z | web/api/tests/test_health_check.py | marcelomansur/maria-quiteria | 953ac1e2caf69e9f44c670d3c4a69e00fff404e4 | [
"MIT"
] | 202 | 2019-11-09T16:27:19.000Z | 2022-03-22T12:41:27.000Z | web/api/tests/test_health_check.py | marcelomansur/maria-quiteria | 953ac1e2caf69e9f44c670d3c4a69e00fff404e4 | [
"MIT"
] | 69 | 2020-02-05T01:33:35.000Z | 2022-03-30T10:39:27.000Z | import pytest
from django.urls import reverse
| 34.653846 | 83 | 0.702553 |
63428481e47a4cce5e89935d6ef0c546574044b9 | 2,768 | py | Python | examples/client-gen/tictactoe/types/game_state.py | kevinheavey/anchorpy | d4cc28365c6adaeaec7f5001fa6b8a3e719b41ad | [
"MIT"
] | 87 | 2021-09-26T18:14:07.000Z | 2022-03-28T08:22:24.000Z | examples/client-gen/tictactoe/types/game_state.py | kevinheavey/anchorpy | d4cc28365c6adaeaec7f5001fa6b8a3e719b41ad | [
"MIT"
] | 15 | 2021-10-07T16:12:23.000Z | 2022-03-20T21:04:40.000Z | examples/client-gen/tictactoe/types/game_state.py | kevinheavey/anchorpy | d4cc28365c6adaeaec7f5001fa6b8a3e719b41ad | [
"MIT"
] | 16 | 2021-10-16T04:40:28.000Z | 2022-03-18T16:49:40.000Z | from __future__ import annotations
import typing
from dataclasses import dataclass
from solana.publickey import PublicKey
from anchorpy.borsh_extension import EnumForCodegen, BorshPubkey
import borsh_construct as borsh
GameStateKind = typing.Union[Active, Tie, Won]
GameStateJSON = typing.Union[ActiveJSON, Tie... | 21.292308 | 64 | 0.58237 |
6342acf3483b4a05386806c72b9900a8869e9d07 | 1,196 | py | Python | test/test_cli.py | yxmanfred/optimesh | b85f48d1559a51a01cc3df6214c61ca8ad5ed786 | [
"MIT"
] | 1 | 2019-04-12T01:23:17.000Z | 2019-04-12T01:23:17.000Z | test/test_cli.py | yxmanfred/optimesh | b85f48d1559a51a01cc3df6214c61ca8ad5ed786 | [
"MIT"
] | null | null | null | test/test_cli.py | yxmanfred/optimesh | b85f48d1559a51a01cc3df6214c61ca8ad5ed786 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
import pytest
import optimesh
from helpers import download_mesh
if __name__ == "__main__":
test_cli("odt")
| 24.916667 | 85 | 0.576923 |
6344c1a546dfde9307cede5f7a6e9805a1f7479b | 385 | py | Python | roles/lib_openshift/src/lib/import.py | ramkrsna/openshift-ansible | fc96d8d22f6c277b599e6e2fa4e9cc06814a9460 | [
"Apache-2.0"
] | null | null | null | roles/lib_openshift/src/lib/import.py | ramkrsna/openshift-ansible | fc96d8d22f6c277b599e6e2fa4e9cc06814a9460 | [
"Apache-2.0"
] | null | null | null | roles/lib_openshift/src/lib/import.py | ramkrsna/openshift-ansible | fc96d8d22f6c277b599e6e2fa4e9cc06814a9460 | [
"Apache-2.0"
] | null | null | null | # pylint: skip-file
# flake8: noqa
'''
OpenShiftCLI class that wraps the oc commands in a subprocess
'''
# pylint: disable=too-many-lines
from __future__ import print_function
import atexit
import json
import os
import re
import shutil
import subprocess
import tempfile
# pylint: disable=import-error
import ruamel.y... | 20.263158 | 64 | 0.8 |
6344f2d6da2847a70b255b03f0e6dc740b751d0e | 1,025 | py | Python | ngsutils/bam/t/test_stats.py | bgruening/ngsutils | 417e90dc1918fb553dd84990f2c54bd8cea8f44d | [
"BSD-3-Clause"
] | 57 | 2015-03-09T01:26:45.000Z | 2022-02-22T07:26:01.000Z | ngsutils/bam/t/test_stats.py | bgruening/ngsutils | 417e90dc1918fb553dd84990f2c54bd8cea8f44d | [
"BSD-3-Clause"
] | 33 | 2015-02-03T23:24:46.000Z | 2022-03-16T20:08:10.000Z | ngsutils/bam/t/test_stats.py | bgruening/ngsutils | 417e90dc1918fb553dd84990f2c54bd8cea8f44d | [
"BSD-3-Clause"
] | 33 | 2015-01-18T16:47:47.000Z | 2022-02-22T07:28:09.000Z | #!/usr/bin/env python
'''
Tests for bamutils stats
'''
import os
import unittest
import ngsutils.bam
import ngsutils.bam.stats
if __name__ == '__main__':
unittest.main()
| 27.702703 | 93 | 0.660488 |
6345129d5bc1da3f7a4ddae9ce0115d6922c7000 | 2,042 | py | Python | test/gcp/test_gcs.py | bavard-ai/bavard-ml-utils | 00b6575d5c74c66f57ca1da753b91d3ceef6d1e4 | [
"MIT"
] | 1 | 2022-02-24T21:25:02.000Z | 2022-02-24T21:25:02.000Z | test/gcp/test_gcs.py | bavard-ai/bavard-ml-utils | 00b6575d5c74c66f57ca1da753b91d3ceef6d1e4 | [
"MIT"
] | null | null | null | test/gcp/test_gcs.py | bavard-ai/bavard-ml-utils | 00b6575d5c74c66f57ca1da753b91d3ceef6d1e4 | [
"MIT"
] | null | null | null | from unittest import TestCase
from bavard_ml_utils.gcp.gcs import GCSClient
from test.utils import DirSpec, FileSpec
| 36.464286 | 105 | 0.658668 |
63456d2b7e536035a7766de0ff9f77efbb0f499a | 357 | py | Python | utils.py | cyborg00222/kowalsky.at | 090778863625b67bce942fe85716941c3bf75a4b | [
"MIT"
] | null | null | null | utils.py | cyborg00222/kowalsky.at | 090778863625b67bce942fe85716941c3bf75a4b | [
"MIT"
] | null | null | null | utils.py | cyborg00222/kowalsky.at | 090778863625b67bce942fe85716941c3bf75a4b | [
"MIT"
] | null | null | null | # Peter Kowalsky - 10.06.19
import os
| 17.85 | 38 | 0.638655 |
63468acc0ac6a4997496eeb95bb3c0c24a04aa45 | 2,746 | py | Python | formain.py | GenBill/Maple_2K | e82df2c2d549d91a1d53cc8b8b688949a5280792 | [
"MIT"
] | null | null | null | formain.py | GenBill/Maple_2K | e82df2c2d549d91a1d53cc8b8b688949a5280792 | [
"MIT"
] | null | null | null | formain.py | GenBill/Maple_2K | e82df2c2d549d91a1d53cc8b8b688949a5280792 | [
"MIT"
] | null | null | null | from fim_mission import *
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import torch.optim as optim
from torch.optim import lr_scheduler
import torchvision.transforms as transforms
from torchvision import datasets, models
import matplo... | 32.305882 | 84 | 0.633285 |
6346bc83f256deb2c811a42a3cf69e8067d988ea | 4,337 | py | Python | sleep_staging_methods/multitaper/train_8m.py | GuanLab/DeepSleep | 220ae1348aaaba115b82d89a9a5ab5bb6f569062 | [
"MIT"
] | 27 | 2019-04-26T21:12:52.000Z | 2022-03-13T15:51:18.000Z | sleep_staging_methods/multitaper/train_8m.py | Hongyang449/DeepSleep | f779e050e4ad1ba7b96ddf0c9aef421770bbbd53 | [
"MIT"
] | 3 | 2021-07-20T15:35:07.000Z | 2021-11-12T15:35:52.000Z | sleep_staging_methods/multitaper/train_8m.py | GuanLab/DeepSleep | 220ae1348aaaba115b82d89a9a5ab5bb6f569062 | [
"MIT"
] | 9 | 2019-06-12T20:10:24.000Z | 2021-12-08T12:45:36.000Z | from __future__ import print_function
import os
import sys
import numpy as np
from keras.models import Model
from keras.layers import Input, concatenate, Conv1D, MaxPooling1D, Conv2DTranspose,Lambda
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint
from keras import backend as K
import tens... | 32.609023 | 93 | 0.685958 |
6346c2addc2cf35274df3428a19c76028b86eba4 | 252 | py | Python | Sprachanalyse/versuch.py | DemonicStorm/LitBlogRepo | 0fe436071840f3b9af59f4363967cfc6eb397865 | [
"MIT"
] | 2 | 2022-02-15T19:18:12.000Z | 2022-02-16T08:06:20.000Z | Sprachanalyse/versuch.py | DemonicStorm/LitBlogRepo | 0fe436071840f3b9af59f4363967cfc6eb397865 | [
"MIT"
] | null | null | null | Sprachanalyse/versuch.py | DemonicStorm/LitBlogRepo | 0fe436071840f3b9af59f4363967cfc6eb397865 | [
"MIT"
] | null | null | null | import spacy
from spacy_langdetect import LanguageDetector
import en_core_web_sm
from glob import glob
nlp = en_core_web_sm.load()
#nlp = spacy.load('en')
nlp.add_pipe(LanguageDetector(), name='language_detector', last=True)
print(LanguageDetector) | 21 | 69 | 0.805556 |
63494cbde2d85460ac5f8725fc7d01e2aee00fe5 | 43,623 | py | Python | usr/lib/tuquito/tuquito-software-manager/widgets/pathbar2.py | emmilinuxorg/emmi-aplicativos | ae84dcc8b9441dd6c735f70a9b1a8ec91871955d | [
"MIT"
] | null | null | null | usr/lib/tuquito/tuquito-software-manager/widgets/pathbar2.py | emmilinuxorg/emmi-aplicativos | ae84dcc8b9441dd6c735f70a9b1a8ec91871955d | [
"MIT"
] | null | null | null | usr/lib/tuquito/tuquito-software-manager/widgets/pathbar2.py | emmilinuxorg/emmi-aplicativos | ae84dcc8b9441dd6c735f70a9b1a8ec91871955d | [
"MIT"
] | null | null | null | # Copyright (C) 2009 Matthew McGowan
#
# Authors:
# Matthew McGowan
#
# 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 version.
... | 30.763752 | 86 | 0.562799 |
6349977120b1f7e73c34cb0ef18c1955caa9b170 | 5,971 | py | Python | .venv/lib/python3.8/site-packages/rmtest/disposableredis/__init__.py | nuruddinsayeed/ru102py | ef43464a93dd74e24f9447ed5014acb35b9a650e | [
"MIT"
] | null | null | null | .venv/lib/python3.8/site-packages/rmtest/disposableredis/__init__.py | nuruddinsayeed/ru102py | ef43464a93dd74e24f9447ed5014acb35b9a650e | [
"MIT"
] | null | null | null | .venv/lib/python3.8/site-packages/rmtest/disposableredis/__init__.py | nuruddinsayeed/ru102py | ef43464a93dd74e24f9447ed5014acb35b9a650e | [
"MIT"
] | null | null | null | import subprocess
import socket
import redis
import time
import os
import os.path
import sys
import warnings
import random
REDIS_DEBUGGER = os.environ.get('REDIS_DEBUGGER', None)
REDIS_SHOW_OUTPUT = int(os.environ.get(
'REDIS_VERBOSE', 1 if REDIS_DEBUGGER else 0))
| 28.433333 | 80 | 0.54212 |
634aec23f0d6252efab55e311a6bc96d9c7f0eb3 | 16,843 | py | Python | disco_aws_automation/disco_autoscale.py | Angakkuq/asiaq-aws | f7ddec9fc60aef685f372cbaefee2b08ae18b6a0 | [
"BSD-2-Clause"
] | null | null | null | disco_aws_automation/disco_autoscale.py | Angakkuq/asiaq-aws | f7ddec9fc60aef685f372cbaefee2b08ae18b6a0 | [
"BSD-2-Clause"
] | 4 | 2016-03-22T17:04:04.000Z | 2016-03-23T18:03:45.000Z | disco_aws_automation/disco_autoscale.py | Angakkuit/asiaq-aws | f7ddec9fc60aef685f372cbaefee2b08ae18b6a0 | [
"BSD-2-Clause"
] | null | null | null | '''Contains DiscoAutoscale class that orchestrates AWS Autoscaling'''
import logging
import random
import boto
import boto.ec2
import boto.ec2.autoscale
import boto.ec2.autoscale.launchconfig
import boto.ec2.autoscale.group
from boto.ec2.autoscale.policy import ScalingPolicy
from boto.exception import BotoServerError
... | 46.271978 | 110 | 0.657543 |
634b0fccab27c3552b1794373b64b0eabd3f0b1b | 17,621 | py | Python | rrlfd/residual/train.py | shaun95/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | 1 | 2022-03-13T21:48:52.000Z | 2022-03-13T21:48:52.000Z | rrlfd/residual/train.py | shaun95/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | null | null | null | rrlfd/residual/train.py | shaun95/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | 1 | 2022-03-30T07:20:29.000Z | 2022-03-30T07:20:29.000Z | # coding=utf-8
# Copyright 2022 The Google Research 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 applicab... | 43.616337 | 80 | 0.684524 |
634b7d80c5c9288d78d5d9a43bb5596a0c00f3ab | 438 | py | Python | doc/python_study_code/fibc.py | beiliwenxiao/vimrc | eb38fc769f3f5f78000060dac674b5c49d63c24c | [
"MIT"
] | null | null | null | doc/python_study_code/fibc.py | beiliwenxiao/vimrc | eb38fc769f3f5f78000060dac674b5c49d63c24c | [
"MIT"
] | null | null | null | doc/python_study_code/fibc.py | beiliwenxiao/vimrc | eb38fc769f3f5f78000060dac674b5c49d63c24c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
__metaclass__ = type
fibs = Fibs()
for f in fibs:
if f > 9999999999999999999999999L:
print 'End Numbers is:',f
break
else:
print f
| 19.043478 | 46 | 0.561644 |
634dbb7f297045c79fe90538f214e33393d57c93 | 517 | py | Python | Python/turtle_drawer_seanyboi.py | nskesav/Hacktoberfest-Beginner-level | 7f834acb0fd3d4556fb2696a2a7d1e82307f0baf | [
"MIT"
] | 59 | 2019-10-03T07:02:22.000Z | 2021-09-30T18:24:10.000Z | Python/turtle_drawer_seanyboi.py | nskesav/Hacktoberfest-Beginner-level | 7f834acb0fd3d4556fb2696a2a7d1e82307f0baf | [
"MIT"
] | 94 | 2019-10-03T06:58:50.000Z | 2020-09-30T08:08:45.000Z | Python/turtle_drawer_seanyboi.py | nskesav/Hacktoberfest-Beginner-level | 7f834acb0fd3d4556fb2696a2a7d1e82307f0baf | [
"MIT"
] | 267 | 2019-10-03T07:09:30.000Z | 2021-09-30T18:24:11.000Z | # draws a shape and fills with a colour
import turtle
import math
import colorsys
phi = 180 * (3 - math.sqrt(5))
# initialises the turtle Pen
t = turtle.Pen()
t.speed()
# defines the shape to be drawn
num = 200
for x in reversed(range(0, num)):
t.fillcolor(colorsys.hsv_to_rgb(x/num, 1.0, 1.0))
t.begin_fill()
t.... | 15.666667 | 50 | 0.667311 |
634f60b0c83c6e710d6ef16e4bf19157169871cf | 12,073 | py | Python | mininext/util.py | vikaskamath/miniNExT | 6dcf959eec26df50787099a3913a492ba0b35756 | [
"MIT"
] | 36 | 2015-02-02T15:02:15.000Z | 2022-01-14T22:54:58.000Z | mininext/util.py | RS1999ent/miniNExT_evolvability | 1328ea38db507598a430e9f8b547dce06a4374bb | [
"MIT"
] | 15 | 2015-02-21T09:05:13.000Z | 2021-08-31T13:04:00.000Z | mininext/util.py | RS1999ent/miniNExT_evolvability | 1328ea38db507598a430e9f8b547dce06a4374bb | [
"MIT"
] | 29 | 2015-02-27T02:33:00.000Z | 2021-11-21T12:15:31.000Z | """
Additional utilities and patches for MiniNExT.
"""
from os.path import isdir
import os
import pwd
import grp
import shutil
from mininet.util import quietRun
from mininext.mount import ObjectPermissions
# Patches #
def isShellBuiltin(cmd):
"""Override to replace MiniNExT's existing isShellBuiltin() function... | 33.350829 | 79 | 0.629173 |
634f8edffeec0c94f327111a1a56115127590074 | 2,575 | py | Python | volaupload/utils.py | RealDolos/volaupload | 9705bbc4fcd1dbc59abde092ee48dce1cb0bd3e5 | [
"MIT"
] | 8 | 2017-02-19T00:24:24.000Z | 2021-02-08T23:52:42.000Z | volaupload/utils.py | RealDolos/volaupload | 9705bbc4fcd1dbc59abde092ee48dce1cb0bd3e5 | [
"MIT"
] | 4 | 2015-01-19T08:09:07.000Z | 2018-09-11T21:57:06.000Z | volaupload/utils.py | RealDolos/volaupload | 9705bbc4fcd1dbc59abde092ee48dce1cb0bd3e5 | [
"MIT"
] | 2 | 2015-12-19T11:04:48.000Z | 2017-04-20T12:55:33.000Z | """ RealDolos' funky volafile upload tool"""
# pylint: disable=broad-except
import math
import re
import sys
# pylint: disable=no-name-in-module
try:
from os import posix_fadvise, POSIX_FADV_WILLNEED
except ImportError:
def posix_fadvise(*args, **kw):
"""Mock implementation for systems not supporting... | 26.010101 | 74 | 0.568155 |
63530b2bd1708f0bb4a3378fe01c2c5c65a9b0bc | 3,801 | py | Python | openquake/hazardlib/tests/source/non_parametric_test.py | gfzriesgos/shakyground-lfs | 2caf67cc32e6800286eded2df1efb05973ccf41b | [
"BSD-3-Clause"
] | 1 | 2019-08-01T00:28:24.000Z | 2019-08-01T00:28:24.000Z | openquake/hazardlib/tests/source/non_parametric_test.py | gfzriesgos/shakyground-lfs | 2caf67cc32e6800286eded2df1efb05973ccf41b | [
"BSD-3-Clause"
] | 4 | 2018-08-31T14:14:35.000Z | 2021-10-11T12:53:13.000Z | openquake/hazardlib/tests/source/non_parametric_test.py | gfzriesgos/shakyground-lfs | 2caf67cc32e6800286eded2df1efb05973ccf41b | [
"BSD-3-Clause"
] | 3 | 2018-08-31T14:11:00.000Z | 2019-07-17T10:06:02.000Z | # The Hazard Library
# Copyright (C) 2013-2018 GEM Foundation
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#... | 40.43617 | 78 | 0.675612 |
6353fd03f408a3e420c9272508ec8a75165d4ec5 | 2,395 | py | Python | tmc/config.py | jgke/tmc.py | a061d199ecce0274c1fa554fb065e13647d9862b | [
"MIT"
] | null | null | null | tmc/config.py | jgke/tmc.py | a061d199ecce0274c1fa554fb065e13647d9862b | [
"MIT"
] | null | null | null | tmc/config.py | jgke/tmc.py | a061d199ecce0274c1fa554fb065e13647d9862b | [
"MIT"
] | null | null | null | import os
from os import path, environ
from configparser import ConfigParser
from collections import OrderedDict
| 31.513158 | 78 | 0.622547 |
635559b738e5f1db17c5a1b948064af180ddd5b4 | 819 | py | Python | code/main.py | RoshanTanisha/covid19 | cdea60b84b2232e84efa0803a9b633d938247590 | [
"MIT"
] | 1 | 2020-05-20T03:47:01.000Z | 2020-05-20T03:47:01.000Z | code/main.py | RoshanTanisha/covid19 | cdea60b84b2232e84efa0803a9b633d938247590 | [
"MIT"
] | null | null | null | code/main.py | RoshanTanisha/covid19 | cdea60b84b2232e84efa0803a9b633d938247590 | [
"MIT"
] | null | null | null | import h5py
import numpy as np
from code.model import UNetClassifier
if __name__ == '__main__':
model = Classifier((512, 512, 1), 2, True)
all_images, all_labels = load_dataset()
print(all_images.shape, all_labels.shape)
model.train(all_images, all_labels, 15, 16, 0.2)
| 27.3 | 76 | 0.708181 |
6355c736188798e18f8ebe25d3c958a69c9cea68 | 54,947 | py | Python | main.py | openmindednewby/Tool-for-creating-lip-recognition-datasets | d8bd97cfa112e8e2fb1f4cca20a7093493e3ed9d | [
"MIT"
] | 4 | 2020-07-22T16:10:55.000Z | 2021-11-25T08:32:34.000Z | main.py | openmindednewby/Tool-for-creating-lip-recognition-datasets | d8bd97cfa112e8e2fb1f4cca20a7093493e3ed9d | [
"MIT"
] | null | null | null | main.py | openmindednewby/Tool-for-creating-lip-recognition-datasets | d8bd97cfa112e8e2fb1f4cca20a7093493e3ed9d | [
"MIT"
] | 2 | 2020-12-30T22:07:54.000Z | 2021-02-02T01:12:13.000Z | ''' Every type you encounter ##EDIT_ME## you will need to adjust these settings '''
import pandas as pd
import numpy as np
import module_youtube_extract
import module_convert_audio_to_wav
import module_process_subtitles
import module_save_variables
import module_video_processing
import module_sample_name
import module_... | 70.80799 | 1,331 | 0.834804 |
63561f96997f9bab466f2fe72890e847cd62196a | 9,462 | py | Python | datmo/core/storage/local/dal.py | awesome-archive/datmo | 72ea51c28a9947e24a464395bb0136b39eb6001a | [
"Apache-2.0"
] | 331 | 2018-03-30T14:33:59.000Z | 2022-01-10T19:43:32.000Z | datmo/core/storage/local/dal.py | KIMS-Github/datmo | a456d196006b67ce56af96cb4900682eab747bef | [
"MIT"
] | 274 | 2018-04-08T17:12:44.000Z | 2020-07-29T02:45:22.000Z | datmo/core/storage/local/dal.py | KIMS-Github/datmo | a456d196006b67ce56af96cb4900682eab747bef | [
"MIT"
] | 28 | 2018-05-03T21:57:22.000Z | 2020-12-31T04:18:42.000Z | import os
from kids.cache import cache
from datetime import datetime
from datmo.core.util.i18n import get as __
from datmo.core.entity.model import Model
from datmo.core.entity.code import Code
from datmo.core.entity.environment import Environment
from datmo.core.entity.file_collection import FileCollection
from datmo... | 29.84858 | 123 | 0.629148 |
635954cccfa45bc4cb0b41a99fdee38be3ae1775 | 358 | py | Python | CodeForces/StonesOnTheTable/StonesonTheTable.py | GeorgianBadita/algorithmic-problems | 6b260050b7a1768b5e47a1d7d4ef7138a52db210 | [
"MIT"
] | 1 | 2021-07-05T16:32:14.000Z | 2021-07-05T16:32:14.000Z | CodeForces/StonesOnTheTable/StonesonTheTable.py | GeorgianBadita/algorithmic-problems | 6b260050b7a1768b5e47a1d7d4ef7138a52db210 | [
"MIT"
] | null | null | null | CodeForces/StonesOnTheTable/StonesonTheTable.py | GeorgianBadita/algorithmic-problems | 6b260050b7a1768b5e47a1d7d4ef7138a52db210 | [
"MIT"
] | 1 | 2021-05-14T15:40:09.000Z | 2021-05-14T15:40:09.000Z |
print(main())
| 15.565217 | 35 | 0.432961 |
635a1b194d242f8ac83aa8d4f19dfd8d49c42b24 | 573 | py | Python | app/routes.py | valtemirprocopio/forms | 05d819aad3d8c32c87b0f62a3c8e2b6fda8aa26e | [
"MIT"
] | null | null | null | app/routes.py | valtemirprocopio/forms | 05d819aad3d8c32c87b0f62a3c8e2b6fda8aa26e | [
"MIT"
] | null | null | null | app/routes.py | valtemirprocopio/forms | 05d819aad3d8c32c87b0f62a3c8e2b6fda8aa26e | [
"MIT"
] | null | null | null | from app import app
from flask import render_template, flash, redirect, url_for
from app.forms import LoginForm
| 22.92 | 63 | 0.678883 |
635c827babc0af053e69c6189ed75cae75ad2a0f | 336 | py | Python | Python/Math/Armstrong-Number/armstrong-number.py | manoj-paramsetti-testing/Algorithm-Warehouse | 89c41146a1c444605830016319e00c343fdbe154 | [
"MIT"
] | 4 | 2021-04-23T06:16:52.000Z | 2022-01-03T14:36:51.000Z | Python/Math/Armstrong-Number/armstrong-number.py | manoj-paramsetti-testing/Algorithm-Warehouse | 89c41146a1c444605830016319e00c343fdbe154 | [
"MIT"
] | 9 | 2021-04-12T02:56:35.000Z | 2021-06-19T00:43:04.000Z | Python/Math/Armstrong-Number/armstrong-number.py | manoj-paramsetti-testing/Algorithm-Warehouse | 89c41146a1c444605830016319e00c343fdbe154 | [
"MIT"
] | 2 | 2021-04-13T06:09:04.000Z | 2021-04-13T10:59:15.000Z | num = int(input("Enter a number: "))
sum = 0; size = 0; temp = num; temp2 = num
while(temp2!=0):
size += 1
temp2 = int(temp2/10)
while(temp!=0):
remainder = temp%10
sum += remainder**size
temp = int(temp/10)
if(sum == num):
print("It's an armstrong number")
else:
print("It's not an arms... | 17.684211 | 42 | 0.58631 |
635cce5473f8750091e7f18d6db45331eaca5c07 | 174,251 | py | Python | sdk/python/pulumi_spotinst/aws/mr_scalar.py | pulumi/pulumi-spotinst | 75592d6293d63f6cec703722f2e02ff1fb1cca44 | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2019-12-21T20:50:43.000Z | 2021-12-01T20:57:38.000Z | sdk/python/pulumi_spotinst/aws/mr_scalar.py | pulumi/pulumi-spotinst | 75592d6293d63f6cec703722f2e02ff1fb1cca44 | [
"ECL-2.0",
"Apache-2.0"
] | 103 | 2019-12-09T22:03:16.000Z | 2022-03-30T17:07:34.000Z | sdk/python/pulumi_spotinst/aws/mr_scalar.py | pulumi/pulumi-spotinst | 75592d6293d63f6cec703722f2e02ff1fb1cca44 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # 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 warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 52.88346 | 338 | 0.679738 |
6361591f69d6d58dde012798f78f229535fcd8bf | 4,189 | py | Python | python-backend/app/api/mines/variances/resources/variance_document_upload.py | ActionAnalytics/mds | 7ac61b0b73b1d310db7dcf2d830b5746b851fe4a | [
"Apache-2.0"
] | null | null | null | python-backend/app/api/mines/variances/resources/variance_document_upload.py | ActionAnalytics/mds | 7ac61b0b73b1d310db7dcf2d830b5746b851fe4a | [
"Apache-2.0"
] | null | null | null | python-backend/app/api/mines/variances/resources/variance_document_upload.py | ActionAnalytics/mds | 7ac61b0b73b1d310db7dcf2d830b5746b851fe4a | [
"Apache-2.0"
] | null | null | null | import base64
import requests
from werkzeug.exceptions import BadRequest, NotFound
from flask import request, current_app, Response
from flask_restplus import Resource
from app.extensions import api
from ...mine.models.mine import Mine
from ....documents.mines.models.mine_document import MineDocument
from ....documen... | 39.518868 | 95 | 0.681308 |
63625b735919dfc4cb5cbf688dbf97a5a8eb7672 | 2,709 | py | Python | src/generated-spec/data_pipeline.py | wheerd/cloudformation-to-terraform | 5411b33293e1f7d7673bb5d4cb52ff0537240db3 | [
"MIT"
] | null | null | null | src/generated-spec/data_pipeline.py | wheerd/cloudformation-to-terraform | 5411b33293e1f7d7673bb5d4cb52ff0537240db3 | [
"MIT"
] | null | null | null | src/generated-spec/data_pipeline.py | wheerd/cloudformation-to-terraform | 5411b33293e1f7d7673bb5d4cb52ff0537240db3 | [
"MIT"
] | null | null | null | from . import *
| 42.328125 | 132 | 0.741602 |
63644d194b8d4b983a5942a1f10e9cd725bc6bed | 2,295 | py | Python | rl_algorithms/utils/config.py | medipixel/rl_algorithms | 96bceb9d65c6d66fca59c4115cd7947f87b87ebc | [
"MIT"
] | 466 | 2019-02-14T15:06:01.000Z | 2022-03-28T03:08:10.000Z | rl_algorithms/utils/config.py | blakcapple/rl_algorithms | 96bceb9d65c6d66fca59c4115cd7947f87b87ebc | [
"MIT"
] | 138 | 2019-02-15T05:44:17.000Z | 2021-12-15T06:00:55.000Z | rl_algorithms/utils/config.py | medipixel/reinforcement_learning_examples | c5f7d1d60dcefb3050d75c5c657207183bd8db65 | [
"MIT"
] | 86 | 2019-02-25T15:52:29.000Z | 2022-03-08T06:30:36.000Z | import collections.abc as collections_abc
import os.path as osp
from addict import Dict
import yaml
| 30.6 | 79 | 0.568192 |
63645da097f4e87f2edd1db2b89287cf483492a1 | 7,748 | py | Python | elit/components/amr/amr_parser/amr_graph.py | emorynlp/el | dbe73d1ce6f2296a64fb013775d2691ae1ed90d4 | [
"Apache-2.0"
] | 40 | 2017-02-27T20:16:44.000Z | 2022-03-25T04:58:01.000Z | elit/components/amr/amr_parser/amr_graph.py | emorynlp/el | dbe73d1ce6f2296a64fb013775d2691ae1ed90d4 | [
"Apache-2.0"
] | 12 | 2017-02-16T23:50:38.000Z | 2022-01-19T21:29:59.000Z | elit/components/amr/amr_parser/amr_graph.py | emorynlp/levi-graph-amr-parser | f71f1056c13181b8db31d6136451fb8d57114819 | [
"Apache-2.0"
] | 6 | 2017-05-05T08:02:18.000Z | 2021-11-03T23:47:23.000Z | # MIT License
#
# Copyright (c) 2020 Deng Cai
#
# 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, pub... | 38.934673 | 116 | 0.576278 |
636a9b71316125fb79b3ddc33da9e14bd47d75ca | 5,252 | py | Python | passage/preprocessing.py | vishalbelsare/Passage | af6e100804dfe332c88bd2cd192e93a807377887 | [
"MIT"
] | 597 | 2015-01-15T19:23:32.000Z | 2021-08-29T17:53:22.000Z | passage/preprocessing.py | v-mk-s/Passage | af6e100804dfe332c88bd2cd192e93a807377887 | [
"MIT"
] | 34 | 2015-01-22T13:50:21.000Z | 2018-06-13T14:58:45.000Z | passage/preprocessing.py | v-mk-s/Passage | af6e100804dfe332c88bd2cd192e93a807377887 | [
"MIT"
] | 152 | 2015-01-17T02:19:22.000Z | 2022-02-05T15:10:04.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import string
from collections import Counter
import numpy as np
import theano
import theano.tensor as T
punctuation = set(string.punctuation)
punctuation.add('\n')
punctuation.add('\t')
punctuation.add(u'')
punctuation.add(u'')
punctuation.add(u'')
punctuation.add(u'')
p... | 30.894118 | 98 | 0.592917 |
636d48cb9b81c8aa18e1903f64ee3f997f6ae04e | 155 | py | Python | agendamentos/apps.py | afnmachado/univesp_pi_1 | e6f2b545faaf53d14d17f751d2fb32e6618885b7 | [
"MIT"
] | null | null | null | agendamentos/apps.py | afnmachado/univesp_pi_1 | e6f2b545faaf53d14d17f751d2fb32e6618885b7 | [
"MIT"
] | null | null | null | agendamentos/apps.py | afnmachado/univesp_pi_1 | e6f2b545faaf53d14d17f751d2fb32e6618885b7 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
| 22.142857 | 56 | 0.774194 |
636de814ecdedb3663dd101d8eaad27c3d18f26b | 3,443 | py | Python | app/mods/calculator.py | MzB-Teaching/calculator | 2de5f554a6cfb4a5f4047c7779b29808563d99bb | [
"Unlicense"
] | null | null | null | app/mods/calculator.py | MzB-Teaching/calculator | 2de5f554a6cfb4a5f4047c7779b29808563d99bb | [
"Unlicense"
] | null | null | null | app/mods/calculator.py | MzB-Teaching/calculator | 2de5f554a6cfb4a5f4047c7779b29808563d99bb | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
"""This is a simple python3 calculator for demonstration purposes
some to-do's but we'll get to that"""
__author__ = "Sebastian Meier zu Biesen"
__copyright__ = "2000-2019 by MzB Solutions"
__email__ = "smzb@mitos-kalandiel.me"
def add(self):
"""This functions adds two numbers"""
... | 24.949275 | 65 | 0.577984 |
636ec0c0514935bf57f2ac6d68a3f04a9e9ec222 | 1,001 | py | Python | tcp_syn_flood.py | r3k4t/tcp_syn_flood | b0ccf8199ea9253ad882afb505071e9d01693be8 | [
"MIT"
] | null | null | null | tcp_syn_flood.py | r3k4t/tcp_syn_flood | b0ccf8199ea9253ad882afb505071e9d01693be8 | [
"MIT"
] | null | null | null | tcp_syn_flood.py | r3k4t/tcp_syn_flood | b0ccf8199ea9253ad882afb505071e9d01693be8 | [
"MIT"
] | 1 | 2021-08-08T09:07:31.000Z | 2021-08-08T09:07:31.000Z | import os
import sys
import time
import pyfiglet
from scapy.all import*
os.system("clear")
print (chr(27)+"[36m")
import pyfiglet
banner = pyfiglet.figlet_format("Tcp Syn Flood",font="slant")
print (banner)
print (chr(27)+"[33m")
print (" Author : Rahat Khan Tusar(RKT)")
print (" Github... | 16.966102 | 61 | 0.597403 |
636ed44c67488a2bf87f694de36be6eb15ddd7e0 | 1,957 | py | Python | tests/test_models.py | lmacaya/oddt | bfbf9ea99768b556684dc99c6ac87a9f16b16f80 | [
"BSD-3-Clause"
] | 264 | 2015-02-20T11:11:51.000Z | 2022-03-28T06:44:00.000Z | tests/test_models.py | lmacaya/oddt | bfbf9ea99768b556684dc99c6ac87a9f16b16f80 | [
"BSD-3-Clause"
] | 106 | 2015-06-22T19:31:27.000Z | 2022-03-25T17:21:42.000Z | tests/test_models.py | lmacaya/oddt | bfbf9ea99768b556684dc99c6ac87a9f16b16f80 | [
"BSD-3-Clause"
] | 106 | 2015-06-23T22:10:55.000Z | 2022-01-21T05:02:32.000Z | import pickle
import numpy as np
from numpy.testing import assert_array_almost_equal, assert_array_equal
import pytest
from oddt.scoring.models import classifiers, regressors
| 31.564516 | 80 | 0.599898 |
636f4efb035fdaa64cb9b8922b6256a38b910e41 | 9,570 | py | Python | data/fech_data.py | wangjiehui11235/panther | cf1ca2f0c7107c5cdacf2f7ff4002d43427d9b07 | [
"Apache-2.0"
] | 3 | 2020-01-23T22:23:08.000Z | 2020-10-12T20:02:16.000Z | data/fech_data.py | wangjiehui11235/panther | cf1ca2f0c7107c5cdacf2f7ff4002d43427d9b07 | [
"Apache-2.0"
] | 1 | 2019-10-28T05:53:08.000Z | 2019-10-28T05:53:08.000Z | data/fech_data.py | wangjiehui11235/panther | cf1ca2f0c7107c5cdacf2f7ff4002d43427d9b07 | [
"Apache-2.0"
] | 9 | 2019-08-21T07:48:32.000Z | 2020-04-04T09:17:54.000Z | # -*- coding: utf-8 -*-
import pdb, six, importlib
import pandas as pd
from PyFin.api import makeSchedule, BizDayConventions
from sqlalchemy import create_engine, select, and_, or_
from utilities.singleton import Singleton
import sys
sys.path.append('..')
import config
#
if __name__ == "__main__":
... | 42.914798 | 116 | 0.646186 |
636fae94296d077704f838d5bc8a253de68b535f | 549 | py | Python | models/collaborator.py | phil-lopreiato/frc-notebook-server | 35e79dbcca45f0257a138ca2834b0b6e57b814f1 | [
"MIT"
] | null | null | null | models/collaborator.py | phil-lopreiato/frc-notebook-server | 35e79dbcca45f0257a138ca2834b0b6e57b814f1 | [
"MIT"
] | null | null | null | models/collaborator.py | phil-lopreiato/frc-notebook-server | 35e79dbcca45f0257a138ca2834b0b6e57b814f1 | [
"MIT"
] | null | null | null | from google.appengine.ext import ndb
| 30.5 | 64 | 0.744991 |
6371f69bd422691fe8339fc5e5157ce5b0079115 | 327 | py | Python | genomics_geek/graphql/mixins.py | genomics-geek/genomics-geek.com | ba24be4a0e3d569859a5378d4e7054d58c88728e | [
"MIT"
] | null | null | null | genomics_geek/graphql/mixins.py | genomics-geek/genomics-geek.com | ba24be4a0e3d569859a5378d4e7054d58c88728e | [
"MIT"
] | 2 | 2018-10-15T20:37:03.000Z | 2018-10-15T20:37:21.000Z | earsie_eats_blog/graphql/mixins.py | genomics-geek/earsie-eats.com | b2d1e6626daa44b5e03198bdc9362758803fd3ee | [
"MIT"
] | 1 | 2019-05-16T03:54:21.000Z | 2019-05-16T03:54:21.000Z | from graphene import Int
from .decorators import require_authenication
| 20.4375 | 64 | 0.740061 |
637274d6c48599470c2d5a70eb69d9b7d03629a5 | 1,237 | py | Python | oops_fhir/r4/code_system/flag_priority_codes.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/code_system/flag_priority_codes.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/code_system/flag_priority_codes.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | from pathlib import Path
from fhir.resources.codesystem import CodeSystem
from oops_fhir.utils import CodeSystemConcept
__all__ = ["FlagPriorityCodes"]
_resource = CodeSystem.parse_file(Path(__file__).with_suffix(".json"))
| 19.030769 | 86 | 0.606306 |
63740319cbdd9993b7493ee891f9371a9c6e02c1 | 256 | py | Python | components/collector/src/source_collectors/sonarqube/duplicated_lines.py | kargaranamir/quality-time | 1c427c61bee9d31c3526f0a01be2218a7e167c23 | [
"Apache-2.0"
] | 33 | 2016-01-20T07:35:48.000Z | 2022-03-14T09:20:51.000Z | components/collector/src/source_collectors/sonarqube/duplicated_lines.py | kargaranamir/quality-time | 1c427c61bee9d31c3526f0a01be2218a7e167c23 | [
"Apache-2.0"
] | 2,410 | 2016-01-22T18:13:01.000Z | 2022-03-31T16:57:34.000Z | components/collector/src/source_collectors/sonarqube/duplicated_lines.py | kargaranamir/quality-time | 1c427c61bee9d31c3526f0a01be2218a7e167c23 | [
"Apache-2.0"
] | 21 | 2016-01-16T11:49:23.000Z | 2022-01-14T21:53:22.000Z | """SonarQube duplicated lines collector."""
from .base import SonarQubeMetricsBaseClass
| 23.272727 | 58 | 0.765625 |
63763ebb1e4d5814f4a75ddf0793dd74b59fa669 | 370 | py | Python | myapp/migrations/0002_studentmodel_dob.py | RajapandiR/Student | b0da4a04394381fda52f75234f6347c43958454a | [
"MIT"
] | null | null | null | myapp/migrations/0002_studentmodel_dob.py | RajapandiR/Student | b0da4a04394381fda52f75234f6347c43958454a | [
"MIT"
] | null | null | null | myapp/migrations/0002_studentmodel_dob.py | RajapandiR/Student | b0da4a04394381fda52f75234f6347c43958454a | [
"MIT"
] | null | null | null | # Generated by Django 3.2.9 on 2021-11-23 16:24
from django.db import migrations, models
| 19.473684 | 47 | 0.581081 |
63783927c365abff6927c69ef8abf31d89e8cbab | 6,159 | py | Python | sl_cutscenes/camera.py | AIS-Bonn/sl-cutscenes | d50128b86a9c808cbe5943e737a4974f0a8d3982 | [
"MIT"
] | 2 | 2022-03-25T08:24:10.000Z | 2022-03-29T09:06:47.000Z | sl_cutscenes/camera.py | AIS-Bonn/sl-scenes | d50128b86a9c808cbe5943e737a4974f0a8d3982 | [
"MIT"
] | null | null | null | sl_cutscenes/camera.py | AIS-Bonn/sl-scenes | d50128b86a9c808cbe5943e737a4974f0a8d3982 | [
"MIT"
] | null | null | null | import numpy as np
import torch
from typing import List
from sl_cutscenes.constants import SCENARIO_DEFAULTS
from sl_cutscenes.utils.camera_utils import ConstFunc, LinFunc, LinFuncOnce, SinFunc, TanhFunc
camera_movement_constraints = SCENARIO_DEFAULTS["camera_movement"]
def get_pos(self, stereo_position="mono"):... | 45.962687 | 119 | 0.670401 |
63785e4a628f813a35572751a22a0fef1e469f30 | 23,016 | py | Python | dpoll/polls/views.py | tymmesyde/dpoll.xyz | d3b6b204026f05b3b7a8e0baccf23dee6a41d679 | [
"MIT"
] | null | null | null | dpoll/polls/views.py | tymmesyde/dpoll.xyz | d3b6b204026f05b3b7a8e0baccf23dee6a41d679 | [
"MIT"
] | null | null | null | dpoll/polls/views.py | tymmesyde/dpoll.xyz | d3b6b204026f05b3b7a8e0baccf23dee6a41d679 | [
"MIT"
] | null | null | null | import copy
import uuid
import json
from datetime import timedelta
from dateutil.parser import parse
from django.conf import settings
from django.contrib import messages
from django.contrib.auth import authenticate, login
from django.contrib.auth.views import auth_logout
from django.core.paginator import Paginator
fro... | 30.728972 | 87 | 0.60849 |
637b49097674b4c3f8587181a185a473471f7b03 | 2,251 | py | Python | e2e/Tests/Merit/MultiplePacketsTest.py | kayabaNerve/Currency | 260ebc20f1704f42ad6183fee39ad58ec6d07961 | [
"CC0-1.0"
] | 66 | 2019-01-14T08:39:52.000Z | 2022-01-06T11:39:15.000Z | e2e/Tests/Merit/MultiplePacketsTest.py | kayabaNerve/Currency | 260ebc20f1704f42ad6183fee39ad58ec6d07961 | [
"CC0-1.0"
] | 228 | 2019-01-16T15:42:44.000Z | 2022-02-05T07:48:07.000Z | e2e/Tests/Merit/MultiplePacketsTest.py | kayabaNerve/Currency | 260ebc20f1704f42ad6183fee39ad58ec6d07961 | [
"CC0-1.0"
] | 19 | 2019-01-14T08:53:04.000Z | 2021-11-03T20:19:28.000Z | #Tests that blocks can't have multiple verification packets for the same transaction.
from typing import Dict, Any
import json
from pytest import raises
from e2e.Libs.Minisketch import Sketch
from e2e.Classes.Transactions.Data import Data
from e2e.Classes.Consensus.VerificationPacket import VerificationPacket
from e... | 32.623188 | 92 | 0.702355 |
637c926e9fd9828afed3a289b40e1b60ecb64afd | 2,891 | py | Python | skworkorders/test_websocket.py | ZhaoUncle/skstack | 9e00305f50fdd60125ec37884247b94b70a9020c | [
"Apache-2.0"
] | null | null | null | skworkorders/test_websocket.py | ZhaoUncle/skstack | 9e00305f50fdd60125ec37884247b94b70a9020c | [
"Apache-2.0"
] | null | null | null | skworkorders/test_websocket.py | ZhaoUncle/skstack | 9e00305f50fdd60125ec37884247b94b70a9020c | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
'''
Created on 2018417 @author: encodingl
'''
from django.shortcuts import render
#from dwebsocket.decorators import accept_websocket, require_websocket
from django.http import HttpResponse
import paramiko
from django.contrib.auth.decorators import login_required
fro... | 26.522936 | 99 | 0.625735 |
637cc4770c5d2eb1b7ce98fc871fe7b1224b66d6 | 9,482 | py | Python | src/Analyse/views.py | Hash-It-Out/MeetingMinutes | 73fc4650ca2bacba09ab3d6c0134f175025342d8 | [
"Apache-2.0"
] | 3 | 2021-03-14T23:35:59.000Z | 2021-12-16T12:28:40.000Z | src/Analyse/views.py | Hack-Overflow/HackOverflow | cff0a50c794e2c70ca65be8a8b9c7420e7a1927c | [
"Apache-2.0"
] | null | null | null | src/Analyse/views.py | Hack-Overflow/HackOverflow | cff0a50c794e2c70ca65be8a8b9c7420e7a1927c | [
"Apache-2.0"
] | 2 | 2018-10-06T06:18:22.000Z | 2018-10-06T17:51:39.000Z | from __future__ import print_function
from django.shortcuts import render
from django.http import HttpResponse, Http404, HttpResponseRedirect
from django.contrib.auth import get_user_model
import os
from django.core.mail import send_mail
import nltk
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.st... | 28.053254 | 133 | 0.640793 |
637cdb4f017832b717342e2928773f70e1670584 | 316 | py | Python | 000000stepikProgBasKirFed/Stepik000000ProgBasKirFedсh01p01st07TASK07_20210205_print.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | 000000stepikProgBasKirFed/Stepik000000ProgBasKirFedсh01p01st07TASK07_20210205_print.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | 000000stepikProgBasKirFed/Stepik000000ProgBasKirFedсh01p01st07TASK07_20210205_print.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | '''
, : "name" "Python".
, :
"name"
"name"
3
8.5
Sample Input:
Sample Output:
name Python 3 8.5
'''
name = 'Python'
print('name', name, 3, 8.5)
| 19.75 | 92 | 0.743671 |
637e1e9bf118d9a1429a4df90953398c25b3dbcc | 24,568 | py | Python | cross_loss_influence/helpers/influence_function.py | CORE-Robotics-Lab/Cross_Loss_Influence_Functions | 6f0fa45f8896cd6c238c143eca6ddebef97b642c | [
"MIT"
] | 1 | 2022-03-08T05:59:17.000Z | 2022-03-08T05:59:17.000Z | cross_loss_influence/helpers/influence_function.py | CORE-Robotics-Lab/Cross_Loss_Influence_Functions | 6f0fa45f8896cd6c238c143eca6ddebef97b642c | [
"MIT"
] | null | null | null | cross_loss_influence/helpers/influence_function.py | CORE-Robotics-Lab/Cross_Loss_Influence_Functions | 6f0fa45f8896cd6c238c143eca6ddebef97b642c | [
"MIT"
] | null | null | null | # Created by Andrew Silva
# Extensions to https://github.com/nimarb/pytorch_influence_functions
import torch
import time
import datetime
import numpy as np
import copy
import logging
from torch.autograd import grad
import random
from cross_loss_influence.helpers.bolukbasi_prior_work.prior_pca_debiasing import extract_... | 46.26742 | 124 | 0.591379 |
637fe0e94faeee830062160453c7c20c39eeaafb | 6,189 | py | Python | tests/test_rtfit_dumps.py | ndraeger/rt1 | 8cf30a3b3604b78b1422388e479b28c921d01c09 | [
"Apache-2.0"
] | null | null | null | tests/test_rtfit_dumps.py | ndraeger/rt1 | 8cf30a3b3604b78b1422388e479b28c921d01c09 | [
"Apache-2.0"
] | null | null | null | tests/test_rtfit_dumps.py | ndraeger/rt1 | 8cf30a3b3604b78b1422388e479b28c921d01c09 | [
"Apache-2.0"
] | null | null | null | """
Test the fits-module by loading a dumped rtfits result and performing
all actions again
"""
import unittest
import numpy as np
import cloudpickle
import matplotlib.pyplot as plt
import copy
import os
if __name__ == "__main__":
unittest.main() | 40.45098 | 108 | 0.487801 |
637feac03a2aafd17dc15fa959b7227bdea86a08 | 3,234 | py | Python | tests/test_bus_model.py | romainsacchi/carculator_bus | 5db105db4223b2f58509fa19b1fccafa16313458 | [
"BSD-3-Clause"
] | 1 | 2021-05-31T08:43:06.000Z | 2021-05-31T08:43:06.000Z | tests/test_bus_model.py | romainsacchi/carculator_bus | 5db105db4223b2f58509fa19b1fccafa16313458 | [
"BSD-3-Clause"
] | 2 | 2021-05-27T09:21:52.000Z | 2021-06-09T21:35:26.000Z | tests/test_bus_model.py | romainsacchi/carculator_bus | 5db105db4223b2f58509fa19b1fccafa16313458 | [
"BSD-3-Clause"
] | 1 | 2021-05-31T08:43:12.000Z | 2021-05-31T08:43:12.000Z | import numpy as np
from carculator_bus import *
tip = BusInputParameters()
tip.static()
_, array = fill_xarray_from_input_parameters(tip)
tm = BusModel(array, country="CH")
tm.set_all()
# The fuel cell stack mass must be in a given interval
| 28.368421 | 104 | 0.624613 |
6380b2f2030ee551fa4870964c341464ca8bdcf7 | 2,828 | py | Python | Ej-Lab8-MoisesSanjurjo-UO270824/ejercicio2-MoisesSanjurjo-UO270824.py | moiSS00/CN | 1e30b43ee2167d15fbc8c472ff9637c2b920c3d4 | [
"MIT"
] | null | null | null | Ej-Lab8-MoisesSanjurjo-UO270824/ejercicio2-MoisesSanjurjo-UO270824.py | moiSS00/CN | 1e30b43ee2167d15fbc8c472ff9637c2b920c3d4 | [
"MIT"
] | null | null | null | Ej-Lab8-MoisesSanjurjo-UO270824/ejercicio2-MoisesSanjurjo-UO270824.py | moiSS00/CN | 1e30b43ee2167d15fbc8c472ff9637c2b920c3d4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Ejercicio 2: Aproximacin numrica de orden 1 y de orden 2 de la
derivada de la funcin f(x) = 1/x.
"""
import numpy as np
import matplotlib.pyplot as plt
# Funcin f(x)= 1/x y su derivada f'
f = lambda x:1/x # funcin f
df = lambda x:(-1)/x**2 # derivada exacta f'
#----------------... | 43.507692 | 110 | 0.631542 |
6381338cf437e2f23817a23137a8ed44d42f412e | 1,982 | py | Python | examples/multi_client_example.py | ondewo/ondewo-csi-client-python | 5ba00402d7d28374f49eb485dd6ed661ebc446f2 | [
"Apache-2.0"
] | null | null | null | examples/multi_client_example.py | ondewo/ondewo-csi-client-python | 5ba00402d7d28374f49eb485dd6ed661ebc446f2 | [
"Apache-2.0"
] | 2 | 2021-05-25T09:18:32.000Z | 2021-07-02T10:14:29.000Z | examples/multi_client_example.py | ondewo/ondewo-csi-client-python | 5ba00402d7d28374f49eb485dd6ed661ebc446f2 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
#
# Copyright 2021 ONDEWO GmbH
#
# 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 ap... | 41.291667 | 108 | 0.799697 |
63819767d87fb2523fcafd5031ccca5b56c6122d | 4,149 | py | Python | chrome/tools/extract_actions.py | zachlatta/chromium | c4625eefca763df86471d798ee5a4a054b4716ae | [
"BSD-3-Clause"
] | 1 | 2021-09-24T22:49:10.000Z | 2021-09-24T22:49:10.000Z | chrome/tools/extract_actions.py | changbai1980/chromium | c4625eefca763df86471d798ee5a4a054b4716ae | [
"BSD-3-Clause"
] | null | null | null | chrome/tools/extract_actions.py | changbai1980/chromium | c4625eefca763df86471d798ee5a4a054b4716ae | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
# Copyright 2007 Google Inc. All rights reserved.
"""Extract UserMetrics "actions" strings from the Chrome source.
This program generates the list of known actions we expect to see in the
user behavior logs. It walks the Chrome source, looking for calls to
UserMetrics functions, extracting actions... | 33.192 | 78 | 0.699446 |
6381feead03b8bd48b3416770eed49408794f57c | 1,817 | py | Python | hamgr/bin/hamgr-manage.py | platform9/pf9-ha | 7d64f9fe6b72fb4c1e5ed5d23e372a62c9e218a8 | [
"Apache-2.0"
] | 11 | 2016-09-06T09:59:29.000Z | 2021-10-02T07:24:07.000Z | hamgr/bin/hamgr-manage.py | platform9/pf9-ha | 7d64f9fe6b72fb4c1e5ed5d23e372a62c9e218a8 | [
"Apache-2.0"
] | 5 | 2017-10-16T06:47:14.000Z | 2020-07-06T07:20:13.000Z | hamgr/bin/hamgr-manage.py | platform9/pf9-ha | 7d64f9fe6b72fb4c1e5ed5d23e372a62c9e218a8 | [
"Apache-2.0"
] | 3 | 2016-09-01T06:20:51.000Z | 2017-10-16T02:27:07.000Z | #!/bin/env python
# Copyright (c) 2019 Platform9 Systems 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 applica... | 33.036364 | 74 | 0.698954 |
638271269c493149415ea03cdea0dc60c36a233d | 2,898 | py | Python | src/nerb/named_entities.py | johnnygreco/nerb | 1ea395bade7d58b176c965d062987284a2d6f590 | [
"MIT"
] | null | null | null | src/nerb/named_entities.py | johnnygreco/nerb | 1ea395bade7d58b176c965d062987284a2d6f590 | [
"MIT"
] | null | null | null | src/nerb/named_entities.py | johnnygreco/nerb | 1ea395bade7d58b176c965d062987284a2d6f590 | [
"MIT"
] | null | null | null | from __future__ import annotations
# Standard library
import re
from copy import deepcopy
from dataclasses import dataclass
from typing import Callable, Optional
__all__ = ['NamedEntity', 'NamedEntityList']
| 32.561798 | 111 | 0.622498 |
63864bd0c8cd0935d04afd12f3430b88b366b42e | 8,792 | py | Python | sources/rnt/mediane/process.py | bryan-brancotte/rank-aggregation-with-ties | 15fffb0b1bee3d6cef7090486a7c910e5f51195d | [
"Apache-2.0"
] | null | null | null | sources/rnt/mediane/process.py | bryan-brancotte/rank-aggregation-with-ties | 15fffb0b1bee3d6cef7090486a7c910e5f51195d | [
"Apache-2.0"
] | 11 | 2018-04-04T08:24:30.000Z | 2021-03-19T21:45:04.000Z | sources/rnt/mediane/process.py | bryan-brancotte/rank-aggregation-with-ties | 15fffb0b1bee3d6cef7090486a7c910e5f51195d | [
"Apache-2.0"
] | 1 | 2018-10-25T09:13:41.000Z | 2018-10-25T09:13:41.000Z | from django.utils import timezone
from django.utils.translation import ugettext
from mediane.algorithms.enumeration import get_name_from
from mediane.algorithms.lri.BioConsert import BioConsert
from mediane.algorithms.lri.ExactAlgorithm import ExactAlgorithm
from mediane.algorithms.misc.borda_count import BordaCount
f... | 35.595142 | 116 | 0.66242 |
6389dbaa2631db7b30ed8767e0e5b57b31566133 | 399 | py | Python | restaurantapp/mainapp/migrations/0003_auto_20200508_1206.py | ShubhamJain0/ShubhamJain0.github.io | bf73d2a8f55c3362908c8102d1788a34627dba44 | [
"MIT"
] | null | null | null | restaurantapp/mainapp/migrations/0003_auto_20200508_1206.py | ShubhamJain0/ShubhamJain0.github.io | bf73d2a8f55c3362908c8102d1788a34627dba44 | [
"MIT"
] | 4 | 2021-04-08T21:52:50.000Z | 2022-02-10T09:29:03.000Z | restaurantapp/mainapp/migrations/0003_auto_20200508_1206.py | ShubhamJain0/Restaurant-App | bf73d2a8f55c3362908c8102d1788a34627dba44 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.2 on 2020-05-08 12:06
from django.db import migrations, models
| 21 | 61 | 0.60401 |
6389dc63d6c399ed10f73f80566508686888935c | 82 | py | Python | pybomberman/__init__.py | pybomberman/pybomberman | 8c7582ec52bf0dd1d77a3e98f5867ffa97233653 | [
"MIT"
] | 2 | 2021-03-29T08:44:54.000Z | 2021-05-03T23:34:06.000Z | pybomberman/__init__.py | pybomberman/pybomberman | 8c7582ec52bf0dd1d77a3e98f5867ffa97233653 | [
"MIT"
] | null | null | null | pybomberman/__init__.py | pybomberman/pybomberman | 8c7582ec52bf0dd1d77a3e98f5867ffa97233653 | [
"MIT"
] | null | null | null | from .map import Map
print("Soon... https://github.com/pybomberman/pybomberman")
| 20.5 | 59 | 0.743902 |
638b620923dedf797dae35ba43746969775844b6 | 3,935 | py | Python | cd2h_repo_project/modules/doi/schemas.py | galterlibrary/InvenioRDM-at-NU | 5aff6ac7c428c9a61bdf221627bfc05f2280d1a3 | [
"MIT"
] | 6 | 2019-09-02T00:01:50.000Z | 2021-11-04T08:23:40.000Z | cd2h_repo_project/modules/doi/schemas.py | galterlibrary/InvenioRDM-at-NU | 5aff6ac7c428c9a61bdf221627bfc05f2280d1a3 | [
"MIT"
] | 72 | 2019-09-04T18:52:35.000Z | 2020-07-21T19:58:15.000Z | cd2h_repo_project/modules/doi/schemas.py | galterlibrary/InvenioRDM-at-NU | 5aff6ac7c428c9a61bdf221627bfc05f2280d1a3 | [
"MIT"
] | null | null | null | """JSON Schemas."""
import csv
from collections import defaultdict
from datetime import date
from os.path import dirname, join, realpath
from flask import current_app
from marshmallow import Schema, fields
from cd2h_repo_project.modules.records.resource_type import ResourceType
| 30.503876 | 78 | 0.653621 |
638ca1bd53358131bd94d7e2bbba9486f9304c18 | 1,068 | py | Python | python/dazl/model/__init__.py | DACH-NY/dazl-client | 56c8b1be047415b2bcb35b6558de4a780a402458 | [
"Apache-2.0"
] | null | null | null | python/dazl/model/__init__.py | DACH-NY/dazl-client | 56c8b1be047415b2bcb35b6558de4a780a402458 | [
"Apache-2.0"
] | null | null | null | python/dazl/model/__init__.py | DACH-NY/dazl-client | 56c8b1be047415b2bcb35b6558de4a780a402458 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017-2022 Digital Asset (Switzerland) GmbH and/or its affiliates. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
"""
:mod:`dazl.model` package
=========================
This module is deprecated. These types have generally moved to :mod:`dazl.client` (for the API
introduced in dazl v5) or ... | 30.514286 | 102 | 0.712547 |
638cb4fc9dbdd295d6a3f3e2773674502d0d5ab5 | 1,559 | py | Python | paxes_cinder/scheduler/filters/storage_protocol_filter.py | windskyer/k_cinder | 000ee539ee4842a158071d26ee99d12c7c0a87da | [
"Apache-2.0"
] | null | null | null | paxes_cinder/scheduler/filters/storage_protocol_filter.py | windskyer/k_cinder | 000ee539ee4842a158071d26ee99d12c7c0a87da | [
"Apache-2.0"
] | null | null | null | paxes_cinder/scheduler/filters/storage_protocol_filter.py | windskyer/k_cinder | 000ee539ee4842a158071d26ee99d12c7c0a87da | [
"Apache-2.0"
] | null | null | null | from cinder.openstack.common import log as logging
from cinder.openstack.common.scheduler import filters
from cinder.openstack.common.scheduler.filters import extra_specs_ops
LOG = logging.getLogger(__name__)
| 38.02439 | 84 | 0.62925 |
6390b3aacb002c83ef8bc4d3f72ff626a4abe7f1 | 1,771 | py | Python | Bioinformatics IV/Week IV/PeptideSequencingProblem.py | egeulgen/Bioinformatics_Specialization | 38581b471a54c41d780d9eeb26a7033eb57f3a01 | [
"MIT"
] | 3 | 2021-04-03T23:46:42.000Z | 2021-08-08T01:19:32.000Z | Bioinformatics IV/Week IV/PeptideSequencingProblem.py | egeulgen/Bioinformatics_Specialization | 38581b471a54c41d780d9eeb26a7033eb57f3a01 | [
"MIT"
] | null | null | null | Bioinformatics IV/Week IV/PeptideSequencingProblem.py | egeulgen/Bioinformatics_Specialization | 38581b471a54c41d780d9eeb26a7033eb57f3a01 | [
"MIT"
] | null | null | null | import sys
from copy import deepcopy
mass_file=open('integer_mass_table.txt')
mass_table = {}
for line in mass_file:
aa, mass = line.rstrip().split(' ')
mass_table[int(mass)] = aa
# mass_table[4] = 'X'
# mass_table[5] = 'Z'
if __name__ == "__main__":
spectral_vector = [int(x) for x in sys.stdin.read().rs... | 28.564516 | 76 | 0.539243 |
6390c12244c07615289c789c791dd14d31ca59c7 | 2,465 | py | Python | test/likelihoods/test_multitask_gaussian_likelihood.py | llguo95/gpytorch | 1fa69935104565c377ce95d2c581c9eedfb55817 | [
"MIT"
] | 2,673 | 2018-02-19T22:28:58.000Z | 2022-03-31T13:22:28.000Z | test/likelihoods/test_multitask_gaussian_likelihood.py | llguo95/gpytorch | 1fa69935104565c377ce95d2c581c9eedfb55817 | [
"MIT"
] | 1,415 | 2018-02-19T20:38:20.000Z | 2022-03-30T12:53:13.000Z | test/likelihoods/test_multitask_gaussian_likelihood.py | llguo95/gpytorch | 1fa69935104565c377ce95d2c581c9eedfb55817 | [
"MIT"
] | 467 | 2018-03-07T02:06:05.000Z | 2022-03-27T07:05:44.000Z | #!/usr/bin/env python3
import unittest
import torch
from gpytorch.distributions import MultitaskMultivariateNormal
from gpytorch.lazy import KroneckerProductLazyTensor, RootLazyTensor
from gpytorch.likelihoods import MultitaskGaussianLikelihood
from gpytorch.test.base_likelihood_test_case import BaseLikelihoodTestCa... | 35.214286 | 92 | 0.708722 |
639138968935973bda9f7100f85f9fc9166454f1 | 399 | py | Python | zip/unzip_print.py | juarezhenriquelisboa/Python | 5c5498b33e7cba4e3bfa322a6a76bed74b68e6bf | [
"MIT"
] | 1 | 2021-01-01T14:46:28.000Z | 2021-01-01T14:46:28.000Z | zip/unzip_print.py | juarezhenriquelisboa/Python | 5c5498b33e7cba4e3bfa322a6a76bed74b68e6bf | [
"MIT"
] | null | null | null | zip/unzip_print.py | juarezhenriquelisboa/Python | 5c5498b33e7cba4e3bfa322a6a76bed74b68e6bf | [
"MIT"
] | null | null | null | import zipfile
import sys
for arg in sys.argv[1:]:
senha = str(arg)
z = zipfile.ZipFile("protegido.zip")
files = z.namelist()
z.setpassword(senha)
z.extractall()
z.close()
for extracted_file in files:
print "Nome do arquivo: "+extracted_file+"\n\nConteudo: "
with open(extracted_file) as f:
... | 16.625 | 61 | 0.639098 |
6392f325bfe2c22484f1ffe055193199e29b8c30 | 948 | py | Python | awards/forms.py | JKimani77/awards | 8cdfaadbd4aca5ef2031966496ebcb5c3c3ea49e | [
"MIT"
] | null | null | null | awards/forms.py | JKimani77/awards | 8cdfaadbd4aca5ef2031966496ebcb5c3c3ea49e | [
"MIT"
] | null | null | null | awards/forms.py | JKimani77/awards | 8cdfaadbd4aca5ef2031966496ebcb5c3c3ea49e | [
"MIT"
] | null | null | null | from django import forms
from django.contrib.auth.forms import UserCreationForm,AuthenticationForm
from django.contrib.auth.models import User
from .models import Profile,Project,Review
| 26.333333 | 75 | 0.681435 |
63941acd5ea7c627eccf6daf6a03aa134aea7caf | 1,269 | py | Python | setup.py | aaren/pharminv | b3d3d11c81bafa40a72583aa98f51b05acec9835 | [
"BSD-3-Clause"
] | 12 | 2015-05-12T21:02:44.000Z | 2021-04-24T23:05:16.000Z | setup.py | aaren/pharminv | b3d3d11c81bafa40a72583aa98f51b05acec9835 | [
"BSD-3-Clause"
] | 5 | 2015-04-05T17:05:09.000Z | 2022-02-11T16:46:57.000Z | setup.py | aaren/pharminv | b3d3d11c81bafa40a72583aa98f51b05acec9835 | [
"BSD-3-Clause"
] | 3 | 2018-04-27T20:10:10.000Z | 2022-02-16T13:12:02.000Z | import subprocess
from setuptools import setup, Extension
try:
pandoc = subprocess.Popen(['pandoc', 'README.md', '--to', 'rst'],
stdout=subprocess.PIPE)
readme = pandoc.communicate()[0].decode()
except OSError:
with open('README.md') as f:
readme = f.read()
cmdclass... | 23.943396 | 69 | 0.618597 |
63945460f91035ee579fbea1f037bd4fecb49b1e | 8,830 | py | Python | RiskQuantLib/Tool/databaseTool.py | SyuyaMurakami/RiskQuantLib-Doc | 2503befc24c2e422e51f8b9f468c8d8439e11c65 | [
"MIT"
] | 1 | 2021-12-29T12:18:45.000Z | 2021-12-29T12:18:45.000Z | RiskQuantLib/Tool/databaseTool.py | SyuyaMurakami/RiskQuantLib-Doc | 2503befc24c2e422e51f8b9f468c8d8439e11c65 | [
"MIT"
] | null | null | null | RiskQuantLib/Tool/databaseTool.py | SyuyaMurakami/RiskQuantLib-Doc | 2503befc24c2e422e51f8b9f468c8d8439e11c65 | [
"MIT"
] | 1 | 2021-12-08T02:14:34.000Z | 2021-12-08T02:14:34.000Z | #!/usr/bin/python
#coding = utf-8
import numpy as np
import pandas as pd
import mysql.connector | 40.504587 | 160 | 0.723669 |
63947c1901639950a3d0a9a8e03f0f05a930b237 | 270 | py | Python | subset_train.py | sngweicong/DeepCTR-Torch | 67d4e9d0c8a13aa4d614b2d04397a7f6e7a0e9af | [
"Apache-2.0"
] | null | null | null | subset_train.py | sngweicong/DeepCTR-Torch | 67d4e9d0c8a13aa4d614b2d04397a7f6e7a0e9af | [
"Apache-2.0"
] | null | null | null | subset_train.py | sngweicong/DeepCTR-Torch | 67d4e9d0c8a13aa4d614b2d04397a7f6e7a0e9af | [
"Apache-2.0"
] | null | null | null | data_size_plus_header = 1000001
train_dir = 'train'
subset_train_dir = 'sub_train.txt'
fullfile = open(train_dir, 'r')
subfile = open(subset_train_dir,'w')
for i in range(data_size_plus_header):
subfile.write(fullfile.readline())
fullfile.close()
subfile.close()
| 20.769231 | 38 | 0.759259 |
6396512d9916e7db0610bee423d4d3ccdc2c336e | 12,095 | py | Python | packages/validate_and_forward/lambda_handler.py | NHSDigital/list-reconciliation | 37b1ebe99a64275e23b0e7fb6a89415b92d14306 | [
"MIT"
] | 4 | 2021-06-25T08:28:54.000Z | 2021-12-16T11:03:42.000Z | packages/validate_and_forward/lambda_handler.py | NHSDigital/list-reconciliation | 37b1ebe99a64275e23b0e7fb6a89415b92d14306 | [
"MIT"
] | 184 | 2021-06-24T15:27:08.000Z | 2022-03-17T12:44:28.000Z | packages/validate_and_forward/lambda_handler.py | NHSDigital/list-reconciliation | 37b1ebe99a64275e23b0e7fb6a89415b92d14306 | [
"MIT"
] | 3 | 2021-11-05T10:21:44.000Z | 2022-03-04T14:29:24.000Z | import json
import os
import traceback
from datetime import datetime
from uuid import uuid4
import boto3
from aws.ssm import get_ssm_params
from database import Jobs
from gp_file_parser.parser import parse_gp_extract_file_s3
from jobs.statuses import InputFolderType, InvalidErrorType, JobStatus, ParseStatus
from lr_lo... | 33.136986 | 113 | 0.556676 |
6396bfd17554b072db271a588e4203eb7b87b54a | 1,258 | py | Python | src/ucar/unidata/apps/noaapsd/default.py | mhiley/IDV | bf45573c008f4b1d155d42fbb078bd99578d69d3 | [
"CNRI-Jython"
] | null | null | null | src/ucar/unidata/apps/noaapsd/default.py | mhiley/IDV | bf45573c008f4b1d155d42fbb078bd99578d69d3 | [
"CNRI-Jython"
] | null | null | null | src/ucar/unidata/apps/noaapsd/default.py | mhiley/IDV | bf45573c008f4b1d155d42fbb078bd99578d69d3 | [
"CNRI-Jython"
] | null | null | null | """
NOAA/ESRL/PSD Jython functions
"""
def calcMonAnom(monthly, ltm, normalize=0):
""" Calculate the monthly anomaly from a long term mean.
The number of timesteps in ltm must be 12
"""
from visad import VisADException
monAnom = monthly.clone()
months = len(ltm)
if (not months == 12):
raise VisAD... | 29.952381 | 74 | 0.670111 |
639892302eb62bb4521dec46165a447fd1bb4884 | 370 | py | Python | bitmovin_api_sdk/account/organizations/groups/__init__.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 11 | 2019-07-03T10:41:16.000Z | 2022-02-25T21:48:06.000Z | bitmovin_api_sdk/account/organizations/groups/__init__.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 8 | 2019-11-23T00:01:25.000Z | 2021-04-29T12:30:31.000Z | bitmovin_api_sdk/account/organizations/groups/__init__.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 13 | 2020-01-02T14:58:18.000Z | 2022-03-26T12:10:30.000Z | from bitmovin_api_sdk.account.organizations.groups.groups_api import GroupsApi
from bitmovin_api_sdk.account.organizations.groups.tenants.tenants_api import TenantsApi
from bitmovin_api_sdk.account.organizations.groups.invitations.invitations_api import InvitationsApi
from bitmovin_api_sdk.account.organizations.groups.... | 74 | 100 | 0.905405 |
6398ccc3c667be7698d1809b95c494572f689685 | 1,268 | py | Python | 08.py | brianfl/project-euler | 9f83a3c2da04fd0801a4a575081add665edccd5f | [
"MIT"
] | null | null | null | 08.py | brianfl/project-euler | 9f83a3c2da04fd0801a4a575081add665edccd5f | [
"MIT"
] | null | null | null | 08.py | brianfl/project-euler | 9f83a3c2da04fd0801a4a575081add665edccd5f | [
"MIT"
] | null | null | null | long_number = "73167176531330624919225119674426574742355349194934969835203127745063262395783180169848018694788518438586156078911294949545950173795833195285320880551112540698747158523863050715693290963295227443043557668966489504452445231617318564030987111217223831136222989342338030813533627661428280644448664523874930358... | 105.666667 | 1,016 | 0.932177 |
639a14e502ea586296e65639c8a98f05735475db | 272 | py | Python | app/views.py | we-race-here/wrh-brac | 6dcd6bb23c86f98896127c89b24e6dc30af9648a | [
"MIT"
] | null | null | null | app/views.py | we-race-here/wrh-brac | 6dcd6bb23c86f98896127c89b24e6dc30af9648a | [
"MIT"
] | 9 | 2022-01-13T13:11:03.000Z | 2022-01-17T19:12:17.000Z | app/views.py | we-race-here/wrh-brac | 6dcd6bb23c86f98896127c89b24e6dc30af9648a | [
"MIT"
] | null | null | null | from django.shortcuts import render
# Create your views here.
from django.views.generic import TemplateView
from . import models, serializers
| 20.923077 | 45 | 0.775735 |
639b330d716e55cdf8a6ae33248c52fa4f302a3c | 755 | py | Python | perceptron/gen-data.py | KellyHwong/MIT-ML | 0305208956f89cb039292c7cce175852f0783336 | [
"MIT"
] | 15 | 2020-02-03T20:28:36.000Z | 2021-10-05T14:11:56.000Z | perceptron/gen-data.py | KellyHwong/MIT-ML | 0305208956f89cb039292c7cce175852f0783336 | [
"MIT"
] | null | null | null | perceptron/gen-data.py | KellyHwong/MIT-ML | 0305208956f89cb039292c7cce175852f0783336 | [
"MIT"
] | 10 | 2019-08-13T12:54:54.000Z | 2021-02-10T20:24:43.000Z | import numpy as np
import random
N = 10
if __name__ == '__main__':
X, y, w = gen_data(10)
print(X)
| 18.414634 | 78 | 0.531126 |
639db7a427799c489966370121dcda273bf83fd4 | 4,431 | py | Python | forgot_password/tests/test_settings.py | oursky/forgot_password | 9afde8b9d39a2837676628f12c9b6f2c45da592a | [
"Apache-2.0"
] | 1 | 2017-02-09T10:17:50.000Z | 2017-02-09T10:17:50.000Z | forgot_password/tests/test_settings.py | oursky/forgot_password | 9afde8b9d39a2837676628f12c9b6f2c45da592a | [
"Apache-2.0"
] | 54 | 2016-09-07T11:01:32.000Z | 2020-02-12T06:15:43.000Z | forgot_password/tests/test_settings.py | oursky/forgot_password | 9afde8b9d39a2837676628f12c9b6f2c45da592a | [
"Apache-2.0"
] | 14 | 2016-09-20T05:36:49.000Z | 2019-04-02T15:42:37.000Z | # Copyright 2018 Oursky Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 39.918919 | 77 | 0.679982 |
639f69e88bb9e0f52e4c78779eac5ba9a648e432 | 9,213 | py | Python | cosa/analyzers/bmc_temporal.py | zsisco/CoSA | b7a5107fcbae9b3ed3726fbcf9240b39252ef551 | [
"BSD-3-Clause"
] | 52 | 2018-02-26T19:01:03.000Z | 2022-02-24T08:30:00.000Z | cosa/analyzers/bmc_temporal.py | zsisco/CoSA | b7a5107fcbae9b3ed3726fbcf9240b39252ef551 | [
"BSD-3-Clause"
] | 28 | 2018-06-07T22:18:23.000Z | 2020-10-27T01:21:01.000Z | cosa/analyzers/bmc_temporal.py | zsisco/CoSA | b7a5107fcbae9b3ed3726fbcf9240b39252ef551 | [
"BSD-3-Clause"
] | 12 | 2018-08-16T20:02:46.000Z | 2021-01-20T18:17:45.000Z | # Copyright 2018 Cristian Mattarei
#
# Licensed under the modified BSD (3-clause BSD) License.
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the ... | 35.709302 | 130 | 0.551069 |
63a0482e773f0b1712ad551a2e29a76da9779874 | 6,767 | py | Python | sdk/python/pulumi_azure/blueprint/get_published_version.py | aangelisc/pulumi-azure | 71dd9c75403146e16f7480e5a60b08bc0329660e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/blueprint/get_published_version.py | aangelisc/pulumi-azure | 71dd9c75403146e16f7480e5a60b08bc0329660e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/blueprint/get_published_version.py | aangelisc/pulumi-azure | 71dd9c75403146e16f7480e5a60b08bc0329660e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # 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 warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 36.578378 | 192 | 0.661741 |
63a05e17f1457914002ddf440d5d635997035ff1 | 2,952 | py | Python | basetrainer/scheduler/MultiStepLR.py | PanJinquan/pytorch-base-trainer | 37799c948f72b2f9d3771ff469e06cdbff4a1d07 | [
"MIT"
] | 11 | 2022-01-18T10:07:52.000Z | 2022-03-16T02:40:31.000Z | basetrainer/scheduler/MultiStepLR.py | PanJinquan/pytorch-base-trainer | 37799c948f72b2f9d3771ff469e06cdbff4a1d07 | [
"MIT"
] | null | null | null | basetrainer/scheduler/MultiStepLR.py | PanJinquan/pytorch-base-trainer | 37799c948f72b2f9d3771ff469e06cdbff4a1d07 | [
"MIT"
] | 1 | 2022-01-26T06:31:29.000Z | 2022-01-26T06:31:29.000Z | # -*-coding: utf-8 -*-
"""
@Author : panjq
@E-mail : pan_jinquan@163.com
@Date : 2021-07-28 15:32:44
"""
import torch
import torch.optim as optim
import torch.nn as nn
import numpy as np
from .WarmUpLR import WarmUpLR
from ..callbacks.callbacks import Callback
| 33.545455 | 97 | 0.572493 |
63a0b6c965482e6900cbc411399d6b33e24bcb3d | 1,232 | py | Python | common/inspect.py | skying0527/pull-Demo | 5744e31e22ca27d43e04bfbce37e7af251a0fe76 | [
"Apache-2.0"
] | null | null | null | common/inspect.py | skying0527/pull-Demo | 5744e31e22ca27d43e04bfbce37e7af251a0fe76 | [
"Apache-2.0"
] | null | null | null | common/inspect.py | skying0527/pull-Demo | 5744e31e22ca27d43e04bfbce37e7af251a0fe76 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
import os
import yaml
from tools.times import timestamp
from config.conf import ELEMENT_PATH, LOCATE_MODE
def inspect_element():
""""""
start_time = timestamp()
for i in os.listdir(ELEMENT_PATH):
_path = os.path.join(ELEMENT_PATH, i)
if os.path... | 35.2 | 78 | 0.491071 |
63a0d5586584f64ab1bee33fc68bb0c0fc21fe84 | 7,201 | py | Python | client/starwhale/swds/store.py | goldenxinxing/starwhale | 2fbb72b0ce5e135b432120c779440e53942be3b5 | [
"Apache-2.0"
] | 1 | 2022-03-24T02:03:48.000Z | 2022-03-24T02:03:48.000Z | client/starwhale/swds/store.py | goldenxinxing/starwhale | 2fbb72b0ce5e135b432120c779440e53942be3b5 | [
"Apache-2.0"
] | null | null | null | client/starwhale/swds/store.py | goldenxinxing/starwhale | 2fbb72b0ce5e135b432120c779440e53942be3b5 | [
"Apache-2.0"
] | null | null | null | from pathlib import Path
import sys
import yaml
import typing as t
import click
import requests
from rich.panel import Panel
from rich.pretty import Pretty
from fs import open_fs
from starwhale.base.store import LocalStorage
from starwhale.consts import (
DEFAULT_DATASET_YAML_NAME,
DEFAULT_MANIFEST_NAME,
... | 33.337963 | 87 | 0.539786 |
63a2bc2fc9589a6a626eb31088dda639a15a9368 | 2,578 | py | Python | stx-metrics/footprint/tests/send_data_test.py | gaponcec/tools-contrib | 3e0d14040eec54de969dee22919c4d54c4d7c630 | [
"Apache-2.0"
] | 1 | 2019-03-25T19:21:57.000Z | 2019-03-25T19:21:57.000Z | stx-metrics/footprint/tests/send_data_test.py | gaponcec/tools-contrib | 3e0d14040eec54de969dee22919c4d54c4d7c630 | [
"Apache-2.0"
] | 3 | 2019-04-03T01:45:24.000Z | 2019-07-25T15:22:31.000Z | stx-metrics/footprint/tests/send_data_test.py | gaponcec/tools-contrib | 3e0d14040eec54de969dee22919c4d54c4d7c630 | [
"Apache-2.0"
] | 7 | 2019-03-25T18:53:44.000Z | 2020-02-18T09:17:03.000Z | #!/usr/bin/env python
__author__ = "Mario Carrillo"
import random
import time
import argparse
from influxdb import InfluxDBClient
INFLUX_SERVER = ""
INFLUX_PORT = ""
INFLUX_PASS = ""
INFLUX_USER = ""
if __name__ == '__main__':
main()
| 24.320755 | 70 | 0.572149 |
63a41385fdcc3fd156087362665083c0f3d04e78 | 1,767 | py | Python | roll_the_dice/cli.py | pluralsight/tech-blog-roll-the-dice | 68ec0aa01f6becaca1ab72e8aff1141e8f253eaa | [
"Apache-2.0"
] | 11 | 2020-02-20T22:33:39.000Z | 2022-03-23T11:57:50.000Z | roll_the_dice/cli.py | pluralsight/tech-blog-roll-the-dice | 68ec0aa01f6becaca1ab72e8aff1141e8f253eaa | [
"Apache-2.0"
] | null | null | null | roll_the_dice/cli.py | pluralsight/tech-blog-roll-the-dice | 68ec0aa01f6becaca1ab72e8aff1141e8f253eaa | [
"Apache-2.0"
] | 6 | 2020-04-01T01:41:37.000Z | 2021-11-17T11:14:53.000Z | import typer
from .dice import roll, roll_from_string
app = typer.Typer()
def main():
app()
| 25.985294 | 87 | 0.634975 |
63a60dfdf997ba92340c90aeb0a57c1998260210 | 2,311 | py | Python | scripts/dfh.py | ldamewood/figures | 5a6ee60d308f1726afe491469db3ec6cde9e6d5c | [
"MIT"
] | 5 | 2015-03-06T07:49:43.000Z | 2022-03-22T19:52:42.000Z | scripts/dfh.py | ldamewood/figures | 5a6ee60d308f1726afe491469db3ec6cde9e6d5c | [
"MIT"
] | null | null | null | scripts/dfh.py | ldamewood/figures | 5a6ee60d308f1726afe491469db3ec6cde9e6d5c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import numpy
import itertools
from pymatgen.core.lattice import Lattice
from pymatgen.core.operations import SymmOp
from pymatgen.core.structure import Structure
from crystal import fillcell, tikz_atoms
atoms = dfh(single = True)
atoms_full = fillcell(atoms)
bondatoms = []
snsite = numpy.array(... | 33.492754 | 100 | 0.603635 |
63a6da93520ef33e9f9ab1ed832d591668deed60 | 3,458 | py | Python | instasave/__main__.py | hnrkcode/InstaSave | 81dd1638a20d8191566ad30772f652a6781d6c81 | [
"MIT"
] | 1 | 2020-07-05T19:42:44.000Z | 2020-07-05T19:42:44.000Z | instasave/__main__.py | hnrkcode/InstaSave | 81dd1638a20d8191566ad30772f652a6781d6c81 | [
"MIT"
] | null | null | null | instasave/__main__.py | hnrkcode/InstaSave | 81dd1638a20d8191566ad30772f652a6781d6c81 | [
"MIT"
] | 2 | 2019-09-10T20:21:35.000Z | 2019-09-19T09:43:03.000Z | import argparse
import os.path
from .instagram.post import Downloader
from .instagram.url import URLScraper
from .utils.webaddr import get_url, validate_url
from .web.client import HTTPHeaders
from .web.geckoloader import GeckoLoader
def get_arguments():
"""Get arguments passed to the program by the user."""
... | 27.664 | 79 | 0.628687 |
63aa46352916f59092337f4bb1b5c13be2e2644b | 649 | py | Python | modules/dbnd-airflow/src/dbnd_airflow/web/airflow_app.py | dmytrostriletskyi/dbnd | d4a5f5167523e80439c9d64182cdc87b40cbc48f | [
"Apache-2.0"
] | 224 | 2020-01-02T10:46:37.000Z | 2022-03-02T13:54:08.000Z | modules/dbnd-airflow/src/dbnd_airflow/web/airflow_app.py | dmytrostriletskyi/dbnd | d4a5f5167523e80439c9d64182cdc87b40cbc48f | [
"Apache-2.0"
] | 16 | 2020-03-11T09:37:58.000Z | 2022-01-26T10:22:08.000Z | modules/dbnd-airflow/src/dbnd_airflow/web/airflow_app.py | dmytrostriletskyi/dbnd | d4a5f5167523e80439c9d64182cdc87b40cbc48f | [
"Apache-2.0"
] | 24 | 2020-03-24T13:53:50.000Z | 2022-03-22T11:55:18.000Z | import logging
| 28.217391 | 76 | 0.753467 |
63ac6d028038f4c5c0f57741dd002fb5b4dacbf1 | 3,793 | py | Python | runway/lookups/handlers/random_string.py | onicagroup/runway | d50cac0e4878ff0691943029aa4f5b85d426a3b0 | [
"Apache-2.0"
] | 134 | 2018-02-26T21:35:23.000Z | 2022-03-03T00:30:27.000Z | runway/lookups/handlers/random_string.py | onicagroup/runway | d50cac0e4878ff0691943029aa4f5b85d426a3b0 | [
"Apache-2.0"
] | 937 | 2018-03-08T22:04:35.000Z | 2022-03-30T12:21:47.000Z | runway/lookups/handlers/random_string.py | onicagroup/runway | d50cac0e4878ff0691943029aa4f5b85d426a3b0 | [
"Apache-2.0"
] | 70 | 2018-02-26T23:48:11.000Z | 2022-03-02T18:44:30.000Z | """Generate a random string."""
# pyright: reportIncompatibleMethodOverride=none
from __future__ import annotations
import logging
import secrets
import string
from typing import TYPE_CHECKING, Any, Callable, List, Sequence, Union
from typing_extensions import Final, Literal
from ...utils import BaseModel
from .base... | 30.58871 | 80 | 0.631426 |
63adc83e9b99bdc20e56c3462b56c6b2c4cdbcd3 | 4,523 | py | Python | FinBot/intent/Loki_Exchange.py | Lanlanluuu/LokiHub | aae3efb566d2383e78eaa8dc1e8b3f1bb097f2a6 | [
"MIT"
] | 17 | 2020-11-25T07:40:18.000Z | 2022-03-07T03:29:18.000Z | FinBot/intent/Loki_Exchange.py | Lanlanluuu/LokiHub | aae3efb566d2383e78eaa8dc1e8b3f1bb097f2a6 | [
"MIT"
] | 8 | 2020-12-18T13:23:59.000Z | 2021-10-03T21:41:50.000Z | FinBot/intent/Loki_Exchange.py | Lanlanluuu/LokiHub | aae3efb566d2383e78eaa8dc1e8b3f1bb097f2a6 | [
"MIT"
] | 43 | 2020-12-02T09:03:57.000Z | 2021-12-23T03:30:25.000Z | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
"""
Loki module for Exchange
Input:
inputSTR str,
utterance str,
args str[],
resultDICT dict
Output:
resultDICT dict
"""
DEBUG_Exchange = True
userDefinedDICT = {"":"EUR",
... | 28.446541 | 78 | 0.516914 |
63ae1f61f819018618faf981a6a8c7128684233e | 1,396 | py | Python | venv/Lib/site-packages/win32comext/directsound/test/ds_record.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 150 | 2021-11-02T05:31:51.000Z | 2022-03-24T06:22:22.000Z | venv/Lib/site-packages/win32comext/directsound/test/ds_record.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 4 | 2021-12-01T11:55:58.000Z | 2022-02-24T16:14:37.000Z | venv/Lib/site-packages/win32comext/directsound/test/ds_record.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 33 | 2021-11-03T00:29:41.000Z | 2022-03-15T13:15:56.000Z | import pywintypes
import struct
import win32event, win32api
import os
import win32com.directsound.directsound as ds
d = ds.DirectSoundCaptureCreate(None, None)
sdesc = ds.DSCBUFFERDESC()
sdesc.dwBufferBytes = 352800 # 2 seconds
sdesc.lpwfxFormat = pywintypes.WAVEFORMATEX()
sdesc.lpwfxFormat.wFormatTag = pywintypes... | 23.661017 | 75 | 0.722779 |
63af8fc8ef5f415eb14f6ce6760e2d9eadfd7966 | 5,322 | py | Python | _unittests/ut_df/test_pandas_groupbynan.py | Pandinosaurus/pandas_streaming | 03008b63545e3634290ef0c041e920d94d454ccf | [
"MIT"
] | 20 | 2017-09-23T03:23:13.000Z | 2022-02-21T09:10:48.000Z | _unittests/ut_df/test_pandas_groupbynan.py | Pandinosaurus/pandas_streaming | 03008b63545e3634290ef0c041e920d94d454ccf | [
"MIT"
] | 19 | 2017-09-24T17:10:39.000Z | 2021-12-29T11:02:58.000Z | _unittests/ut_df/test_pandas_groupbynan.py | Pandinosaurus/pandas_streaming | 03008b63545e3634290ef0c041e920d94d454ccf | [
"MIT"
] | 7 | 2018-11-09T08:15:20.000Z | 2021-09-17T07:39:44.000Z | # coding: utf-8
"""
@brief test log(time=1s)
"""
import unittest
import pandas
import numpy
from scipy.sparse.linalg import lsqr as sparse_lsqr
from pyquickhelper.pycode import ExtTestCase, ignore_warnings
from pandas_streaming.df import pandas_groupby_nan, numpy_types
if __name__ == "__main__":
unittest.ma... | 37.216783 | 85 | 0.485908 |
63afd781a3f83b4472e5cc0102407a1faccfc8c4 | 6,769 | py | Python | ros/src/tl_detector/tl_detector.py | irt24/Udacity-CarND-FinalProject | 0516a39a544f5a90c3b12b44f7ae200d53d8c375 | [
"MIT"
] | null | null | null | ros/src/tl_detector/tl_detector.py | irt24/Udacity-CarND-FinalProject | 0516a39a544f5a90c3b12b44f7ae200d53d8c375 | [
"MIT"
] | null | null | null | ros/src/tl_detector/tl_detector.py | irt24/Udacity-CarND-FinalProject | 0516a39a544f5a90c3b12b44f7ae200d53d8c375 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import rospy
from std_msgs.msg import Int32
from geometry_msgs.msg import PoseStamped, Pose
from styx_msgs.msg import TrafficLightArray, TrafficLight
from styx_msgs.msg import Lane
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from light_classification.tl_classifier import TLCla... | 36.989071 | 108 | 0.646033 |
63aff24134f0357f39793f17fa4ba1b4b87cbb8d | 1,601 | py | Python | initGame.py | Sabsterrexx/PingPongGame | 61e22838e3f48fcb7ffb4d83cf7c5d793766110b | [
"MIT"
] | null | null | null | initGame.py | Sabsterrexx/PingPongGame | 61e22838e3f48fcb7ffb4d83cf7c5d793766110b | [
"MIT"
] | null | null | null | initGame.py | Sabsterrexx/PingPongGame | 61e22838e3f48fcb7ffb4d83cf7c5d793766110b | [
"MIT"
] | null | null | null | #Import required Modules:
import pygame
import constants
from paddle import Paddle
from ball import Ball
from score import Score
from text import Text
from screenState import ScreenState
#This function basically executes everything in the "screenState" module's class
| 26.245902 | 123 | 0.658339 |
63b1672cda5a034b03a601fa6667760f80b9ca78 | 1,965 | py | Python | minmax.py | patello/subtracting_squares | 53ecfbfe96e2ddb9cb82307bae9c779a4d7d7b4d | [
"MIT"
] | null | null | null | minmax.py | patello/subtracting_squares | 53ecfbfe96e2ddb9cb82307bae9c779a4d7d7b4d | [
"MIT"
] | null | null | null | minmax.py | patello/subtracting_squares | 53ecfbfe96e2ddb9cb82307bae9c779a4d7d7b4d | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
game=Game()
result=game.calculate()
print(str(result[-1])) | 50.384615 | 124 | 0.603562 |
63b20249148e887bf399bbe4138aaff1329b132a | 983 | py | Python | fwl-automation-decisions/domain/src/domain/model/firewall/Firewall.py | aherculano/fwl-project | 6d4c4d40393b76d45cf13b572b5aabc0696e9285 | [
"MIT"
] | null | null | null | fwl-automation-decisions/domain/src/domain/model/firewall/Firewall.py | aherculano/fwl-project | 6d4c4d40393b76d45cf13b572b5aabc0696e9285 | [
"MIT"
] | null | null | null | fwl-automation-decisions/domain/src/domain/model/firewall/Firewall.py | aherculano/fwl-project | 6d4c4d40393b76d45cf13b572b5aabc0696e9285 | [
"MIT"
] | null | null | null | from .FirewallName import FirewallName
from .FirewallUUID import FirewallUUID
from .FirewallAccessLayer import FirewallAccessLayer
| 23.97561 | 98 | 0.670397 |
63b23605e301a71e7c5288370291d963f9333dd6 | 3,479 | py | Python | other_scripts/check_status.py | seyros/python_training | 15a5a3fa471d8ff63ccdd03c13bd09997a8b5794 | [
"Apache-2.0"
] | null | null | null | other_scripts/check_status.py | seyros/python_training | 15a5a3fa471d8ff63ccdd03c13bd09997a8b5794 | [
"Apache-2.0"
] | null | null | null | other_scripts/check_status.py | seyros/python_training | 15a5a3fa471d8ff63ccdd03c13bd09997a8b5794 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
__author__ = 'ivanov'
import pymysql
#
connection = pymysql.connect(host="localhost", user="root", passwd="1112223334", db="testdb", charset='utf8', cursorclass=pymysql.cursors.DictCursor)
try:
with connection.cursor() as cursor:
#create new record
# sql = "INSERT INTO C... | 89.205128 | 1,360 | 0.678068 |
63b3ca6cdf03796cdc1925b2b477724000dd42e8 | 3,461 | py | Python | inria/helloworld/datamodules.py | hernanlira/inria-anomaly_detection | f1dd980f7245c388f2ab583083ee72fb64d60a17 | [
"MIT"
] | null | null | null | inria/helloworld/datamodules.py | hernanlira/inria-anomaly_detection | f1dd980f7245c388f2ab583083ee72fb64d60a17 | [
"MIT"
] | null | null | null | inria/helloworld/datamodules.py | hernanlira/inria-anomaly_detection | f1dd980f7245c388f2ab583083ee72fb64d60a17 | [
"MIT"
] | null | null | null | from torchvision.datasets import MNIST
from torchvision import transforms
import pytorch_lightning as pl
from torch.utils.data import DataLoader, random_split
from multiprocessing import cpu_count
from typing import Any, Optional, Union
from pl_bolts.datamodules import CIFAR10DataModule
from pl_bolts.transforms.datas... | 36.431579 | 122 | 0.647501 |