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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6ea869001bb831aa67afe2e798624becb8124601 | 4,535 | py | Python | scripts/bcbb_helpers/process_run_info.py | parlundin/scilifelab | e5f4be45e2e9ff6c0756be46ad34dfb7d20a4b4a | [
"MIT"
] | 1 | 2016-03-21T14:04:09.000Z | 2016-03-21T14:04:09.000Z | scripts/bcbb_helpers/process_run_info.py | parlundin/scilifelab | e5f4be45e2e9ff6c0756be46ad34dfb7d20a4b4a | [
"MIT"
] | 35 | 2015-01-22T08:25:02.000Z | 2020-02-17T12:09:12.000Z | scripts/bcbb_helpers/process_run_info.py | parlundin/scilifelab | e5f4be45e2e9ff6c0756be46ad34dfb7d20a4b4a | [
"MIT"
] | 6 | 2015-01-16T15:32:08.000Z | 2020-01-30T14:34:40.000Z | #!/usr/bin/env python
import os
import sys
import yaml
from optparse import OptionParser
if __name__ == "__main__":
parser = OptionParser()
parser.add_option("-l", "--lane", dest="lane", default=0)
parser.add_option("-o", "--out_file", dest="out_file", default=None)
parser.add_option("-g", "-... | 44.460784 | 132 | 0.622712 |
6ea886c1faad67e0969ccc2de41ff81ea08b3480 | 196 | py | Python | app/forms.py | haibincoder/DjangoTensorflow | 7fc606fa5121f0c48d7c8e649775094d86e6387a | [
"MIT"
] | 17 | 2018-07-21T04:14:09.000Z | 2022-03-09T08:32:49.000Z | app/forms.py | haibincoder/DjangoTensorflow | 7fc606fa5121f0c48d7c8e649775094d86e6387a | [
"MIT"
] | 24 | 2020-01-28T22:11:42.000Z | 2022-03-11T23:47:43.000Z | app/forms.py | haibincoder/DjangoTensorflow | 7fc606fa5121f0c48d7c8e649775094d86e6387a | [
"MIT"
] | 7 | 2018-12-13T08:55:07.000Z | 2021-06-26T08:08:01.000Z | from django import forms
#from app.models import Image
# class ImageForm(forms.ModelForm):
# class Meta:
# model = Image
# name = ['name']
# location = ['location']
| 17.818182 | 35 | 0.591837 |
6ea8ed0768136e88f53d0dbb5391ad2ceecced0d | 3,914 | py | Python | python/create_account_with_captcha.py | shivanshbindal9/MediaWiki-Action-API-Code-Samples | 7d673e73d7cabbf4342a18d275b271e7d4456808 | [
"MIT"
] | null | null | null | python/create_account_with_captcha.py | shivanshbindal9/MediaWiki-Action-API-Code-Samples | 7d673e73d7cabbf4342a18d275b271e7d4456808 | [
"MIT"
] | null | null | null | python/create_account_with_captcha.py | shivanshbindal9/MediaWiki-Action-API-Code-Samples | 7d673e73d7cabbf4342a18d275b271e7d4456808 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""
create_account_with_captcha.py
MediaWiki Action API Code Samples
Demo of `createaccount` module: Create an account on a wiki with a special
authentication extension installed. This example considers a case of a wiki
where captcha is enabled through extensions like ConfirmEdi... | 29.428571 | 94 | 0.625447 |
6ea998dc1fdefa4215c75aefbef6ea7363fe98e0 | 2,396 | py | Python | main.py | smartsnake/PasswordGenerator | 985f05b81271d7a18c0f99fc77870754c48102d5 | [
"MIT"
] | null | null | null | main.py | smartsnake/PasswordGenerator | 985f05b81271d7a18c0f99fc77870754c48102d5 | [
"MIT"
] | null | null | null | main.py | smartsnake/PasswordGenerator | 985f05b81271d7a18c0f99fc77870754c48102d5 | [
"MIT"
] | null | null | null | import sys,os
import argparse
from util.MongoUtil import MongoUtil
from util.Generator import Generator
#Custom help messages
if __name__ == '__main__':
#Argument requirments
parser = argparse.ArgumentParser(description='Creates new passwords and adds them to mondodb.', usage=help_msg())
parser.add_argume... | 34.724638 | 117 | 0.603506 |
6eaaaf9c78bb564348f5f92937368a9dbc35cca5 | 66 | py | Python | src/clusto/drivers/devices/networkswitches/__init__.py | rongoro/clusto | d6425433e5132e8778feeb9db4b8dd80b933b030 | [
"BSD-3-Clause"
] | 5 | 2015-07-19T08:28:01.000Z | 2021-07-08T14:49:27.000Z | src/clusto/drivers/devices/networkswitches/__init__.py | wt/clusto | c114ce7c42dcfa33c1e79f4d3b49313115fea06b | [
"BSD-3-Clause"
] | null | null | null | src/clusto/drivers/devices/networkswitches/__init__.py | wt/clusto | c114ce7c42dcfa33c1e79f4d3b49313115fea06b | [
"BSD-3-Clause"
] | 5 | 2015-01-06T07:57:07.000Z | 2021-11-10T18:01:33.000Z | from basicnetworkswitch import *
from cisconetworkswitch import *
| 22 | 32 | 0.848485 |
6eabff19e23935994d6606bc2eb537d62eca55d2 | 498 | py | Python | referralnote/urls.py | fahimfarhan/cancer-web-app | 6c5d8c5c90b0909cbd161d2ae87b4f12549bdfef | [
"MIT"
] | null | null | null | referralnote/urls.py | fahimfarhan/cancer-web-app | 6c5d8c5c90b0909cbd161d2ae87b4f12549bdfef | [
"MIT"
] | 5 | 2021-03-18T20:13:38.000Z | 2022-01-13T00:35:37.000Z | referralnote/urls.py | fahimfarhan/cancer-web-app | 6c5d8c5c90b0909cbd161d2ae87b4f12549bdfef | [
"MIT"
] | null | null | null | from django.conf.urls import url
from referralnote import views
app_name = 'referral_note'
#view_obj = views.ReferralNotes()
urlpatterns = [
url(r'^(?P<p_id>[0-9]+)/delete_referralnote/(?P<notenum>[0-9]+)$', views.delete_refnote,
name='delete_referralnote'),
url(r'^(?P<p_id>[0-9]+)/edit_referralnote... | 31.125 | 120 | 0.688755 |
6eac2fd4f481feb51a0c938cf7a2f928ddd2ec46 | 742 | py | Python | beetlesafari/io/_imread_raw.py | haesleinhuepf/beetle-safari | a6c90d10b6b4d67c153f87c83c02bd23f2b13843 | [
"BSD-3-Clause"
] | null | null | null | beetlesafari/io/_imread_raw.py | haesleinhuepf/beetle-safari | a6c90d10b6b4d67c153f87c83c02bd23f2b13843 | [
"BSD-3-Clause"
] | null | null | null | beetlesafari/io/_imread_raw.py | haesleinhuepf/beetle-safari | a6c90d10b6b4d67c153f87c83c02bd23f2b13843 | [
"BSD-3-Clause"
] | null | null | null | # thanks to max9111, https://stackoverflow.com/questions/41651998/python-read-and-convert-raw-3d-image-file
import numpy as np
from functools import lru_cache | 27.481481 | 107 | 0.663073 |
6eaca75829400aaa4a8f204a5c147dfdc9d105dc | 655 | py | Python | brain_games/games/gcd.py | belousovromnik/python-project-lvl1 | 11b4160b083b38c64b42ddd529d1379538eb9230 | [
"MIT"
] | null | null | null | brain_games/games/gcd.py | belousovromnik/python-project-lvl1 | 11b4160b083b38c64b42ddd529d1379538eb9230 | [
"MIT"
] | null | null | null | brain_games/games/gcd.py | belousovromnik/python-project-lvl1 | 11b4160b083b38c64b42ddd529d1379538eb9230 | [
"MIT"
] | null | null | null | import random
from brain_games.constants import MINIMAL_RANDOM, MAXIMAL_RANDOM
| 24.259259 | 64 | 0.728244 |
6eaef18c836b626ea67de2012928ab0468afa91b | 10,336 | py | Python | highest_iso.py | chem-william/helix_fit | b9921b0068f1a3084985ca820094a0db15b6aac2 | [
"MIT"
] | null | null | null | highest_iso.py | chem-william/helix_fit | b9921b0068f1a3084985ca820094a0db15b6aac2 | [
"MIT"
] | null | null | null | highest_iso.py | chem-william/helix_fit | b9921b0068f1a3084985ca820094a0db15b6aac2 | [
"MIT"
] | null | null | null | import os
from ase.visualize import view
from mpl_toolkits.mplot3d import Axes3D # noqa
from scipy.optimize import curve_fit
from tqdm import tqdm
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
sns.set(
style="ticks",
rc={
"font.family": "Arial",
"font.size": 40,
... | 31.039039 | 95 | 0.544601 |
6eb0570098060d342879612db34c154166a28bf0 | 477 | py | Python | adlibre_dms/views.py | adlibre/Adlibre-DMS | 96ce41b5699e2ea58e3ca560d46d481e954f17a4 | [
"BSD-3-Clause"
] | 48 | 2015-02-25T03:20:35.000Z | 2022-03-11T09:02:42.000Z | adlibre_dms/views.py | adlibre/Adlibre-DMS | 96ce41b5699e2ea58e3ca560d46d481e954f17a4 | [
"BSD-3-Clause"
] | 6 | 2015-01-09T08:30:53.000Z | 2016-12-05T15:03:01.000Z | adlibre_dms/views.py | adlibre/Adlibre-DMS | 96ce41b5699e2ea58e3ca560d46d481e954f17a4 | [
"BSD-3-Clause"
] | 24 | 2015-01-15T11:41:40.000Z | 2022-03-17T20:31:06.000Z | from django.conf import settings
from django import http
from django.template import RequestContext, loader
def server_error(request, template_name='500.html'):
"""
500 error handler.
Templates: `500.html`
Context:
MEDIA_URL
Path of static media (e.g. "media.example.org")
"""
... | 26.5 | 65 | 0.685535 |
6eb100cce3b9fcde7fec2f63e9fe107b7c59b8c7 | 372 | py | Python | operations/fleet_management/migrations/0005_merge_20171213_1548.py | kaizer88/emps | 2669b32c46befcf1a19390fb25013817e6b00980 | [
"MIT"
] | null | null | null | operations/fleet_management/migrations/0005_merge_20171213_1548.py | kaizer88/emps | 2669b32c46befcf1a19390fb25013817e6b00980 | [
"MIT"
] | null | null | null | operations/fleet_management/migrations/0005_merge_20171213_1548.py | kaizer88/emps | 2669b32c46befcf1a19390fb25013817e6b00980 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2017-12-13 13:48
from __future__ import unicode_literals
from django.db import migrations
| 21.882353 | 67 | 0.693548 |
6eb3861496ef592c07af6ae7b192e47f4452b309 | 1,481 | py | Python | secure_ml/attack/model_inversion.py | Koukyosyumei/secure_ml | 9da24f4ce4782ec2f6dd63b0437f657a0e190e40 | [
"MIT"
] | 10 | 2021-02-23T01:32:48.000Z | 2021-11-16T06:02:26.000Z | secure_ml/attack/model_inversion.py | Koukyosyumei/secure_ml | 9da24f4ce4782ec2f6dd63b0437f657a0e190e40 | [
"MIT"
] | 2 | 2021-05-16T08:38:19.000Z | 2021-06-20T09:01:45.000Z | secure_ml/attack/model_inversion.py | Koukyosyumei/secure_ml | 9da24f4ce4782ec2f6dd63b0437f657a0e190e40 | [
"MIT"
] | 4 | 2021-02-25T04:33:06.000Z | 2021-08-17T05:43:47.000Z | import torch
from ..attack.base_attack import BaseAttacker
| 30.854167 | 73 | 0.574612 |
6eb49308c616d061678bacc901cf34896446490d | 448 | py | Python | tests/integration_tests/data/service_utils_integration_test/main_service.py | ZacharyATanenbaum/service_framework | b5dde4407998350d1b7ad09284110b986fd4e12a | [
"MIT"
] | 1 | 2020-03-20T21:33:56.000Z | 2020-03-20T21:33:56.000Z | tests/integration_tests/data/service_utils_integration_test/main_service.py | ZacharyATanenbaum/service_framework | b5dde4407998350d1b7ad09284110b986fd4e12a | [
"MIT"
] | 1 | 2020-03-22T03:48:45.000Z | 2020-03-22T03:48:45.000Z | tests/integration_tests/data/service_utils_integration_test/main_service.py | ZacharyATanenbaum/service_framework | b5dde4407998350d1b7ad09284110b986fd4e12a | [
"MIT"
] | null | null | null | """ Basic service for testing the service_utils run_main """
connection_models = {
'out': {
'out_connection_1': {
'connection_type': 'requester',
'required_arguments': {
'this_is_a_test_arg': str,
},
'required_return_arguments': {
... | 22.4 | 60 | 0.517857 |
6eba09dcdf024f11f4d2e6c7da43fa66a4daf005 | 788 | py | Python | Curso de Python/Mundo 2/aula12/ex045.py | josevini/python | 45cde6d0ae8310b1d8ebb30ae1dd17c0ad0dd02a | [
"MIT"
] | null | null | null | Curso de Python/Mundo 2/aula12/ex045.py | josevini/python | 45cde6d0ae8310b1d8ebb30ae1dd17c0ad0dd02a | [
"MIT"
] | null | null | null | Curso de Python/Mundo 2/aula12/ex045.py | josevini/python | 45cde6d0ae8310b1d8ebb30ae1dd17c0ad0dd02a | [
"MIT"
] | null | null | null | from time import sleep
from random import randint
itens = ('Pedra', 'Papel', 'Tesoura')
print('Suas opes: ')
print("""[ 0 ] PEDRA
[ 1 ] PAPEL
[ 2 ] TESOURA""")
computador = randint(0,2)
jogador = int(input('Qual a sua jogada? '))
print('JO')
sleep(1)
print('KEN')
sleep(1)
print('PO!!!')
print('-=' * 11)
print('Computa... | 29.185185 | 110 | 0.651015 |
6eba2b9c96279d6bf89fd584cbe501fd83d1e0c7 | 2,708 | py | Python | wtdb_test.py | hughgrigg/wtdb | 6614053cbbc0086d5470ee7e9f2d6a68fdb9ed94 | [
"MIT"
] | null | null | null | wtdb_test.py | hughgrigg/wtdb | 6614053cbbc0086d5470ee7e9f2d6a68fdb9ed94 | [
"MIT"
] | null | null | null | wtdb_test.py | hughgrigg/wtdb | 6614053cbbc0086d5470ee7e9f2d6a68fdb9ed94 | [
"MIT"
] | null | null | null | import wtdb
import unittest
if __name__ == '__main__':
import doctest
doctest.testmod(wtdb)
unittest.main()
| 28.505263 | 77 | 0.531388 |
6ebb9230b1ec2e150157978f3bf6129f5b2db4e9 | 5,423 | py | Python | envisionpy/processor_network/BandstructureNetworkHandler.py | Vevn/ENVISIoN | d0e48a5ec38ed95375f632eafdc5814415f0f570 | [
"BSD-2-Clause"
] | null | null | null | envisionpy/processor_network/BandstructureNetworkHandler.py | Vevn/ENVISIoN | d0e48a5ec38ed95375f632eafdc5814415f0f570 | [
"BSD-2-Clause"
] | null | null | null | envisionpy/processor_network/BandstructureNetworkHandler.py | Vevn/ENVISIoN | d0e48a5ec38ed95375f632eafdc5814415f0f570 | [
"BSD-2-Clause"
] | 1 | 2020-05-15T14:52:19.000Z | 2020-05-15T14:52:19.000Z | # ENVISIoN
#
# Copyright (c) 2019 Jesper Ericsson
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list o... | 47.570175 | 130 | 0.650009 |
6ebdf946af2b4bf33b3b815af562307b2b1a73fd | 26,442 | py | Python | smt/decoder/stackdecoder.py | kenkov/smt | db0a9fff15876442f1895b3ef730e91f7c84ad9b | [
"MIT"
] | 83 | 2015-01-12T14:40:08.000Z | 2022-01-07T09:41:09.000Z | smt/decoder/stackdecoder.py | HimmelStein/smt | db0a9fff15876442f1895b3ef730e91f7c84ad9b | [
"MIT"
] | 1 | 2016-12-08T21:22:23.000Z | 2016-12-08T21:22:23.000Z | smt/decoder/stackdecoder.py | HimmelStein/smt | db0a9fff15876442f1895b3ef730e91f7c84ad9b | [
"MIT"
] | 38 | 2015-04-08T04:39:13.000Z | 2021-11-14T13:16:19.000Z | #! /usr/bin/env python
# coding:utf-8
from __future__ import division, print_function
import math
# sqlalchemy
import sqlalchemy
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy import Column, TEXT, REAL, INTEGER
from sqlalchemy.orm import sessionmaker
from s... | 32.444172 | 79 | 0.514182 |
6ebe31c36f436e8ae484085447aaa84df7e9db45 | 6,711 | py | Python | amoebaelib/generate_histogram_plot.py | laelbarlow/amoebae | 3c6607bcb64a60baee2f19f0a25e14b325e9725d | [
"Apache-2.0"
] | 8 | 2020-07-16T21:36:38.000Z | 2021-11-28T08:32:05.000Z | amoebaelib/generate_histogram_plot.py | laelbarlow/amoebae | 3c6607bcb64a60baee2f19f0a25e14b325e9725d | [
"Apache-2.0"
] | null | null | null | amoebaelib/generate_histogram_plot.py | laelbarlow/amoebae | 3c6607bcb64a60baee2f19f0a25e14b325e9725d | [
"Apache-2.0"
] | 1 | 2020-07-31T21:21:15.000Z | 2020-07-31T21:21:15.000Z | #!/usr/bin/env python3
# Copyright 2018 Lael D. Barlow
#
# 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 ... | 31.069444 | 119 | 0.58203 |
6ebfe39e2bd770fe4ca5a9e9da4a3af5efa9f58a | 12,838 | py | Python | fast_segmentation/core/evaluate.py | eilonshi/tevel-segmentation | bf9168fafa181ff4eac1d1eba0b0f8a06f5daae1 | [
"MIT"
] | null | null | null | fast_segmentation/core/evaluate.py | eilonshi/tevel-segmentation | bf9168fafa181ff4eac1d1eba0b0f8a06f5daae1 | [
"MIT"
] | null | null | null | fast_segmentation/core/evaluate.py | eilonshi/tevel-segmentation | bf9168fafa181ff4eac1d1eba0b0f8a06f5daae1 | [
"MIT"
] | null | null | null | import os
import os.path as osp
import logging
import argparse
import math
import yaml
from tabulate import tabulate
from torch.utils.data import Dataset
from tqdm import tqdm
from typing import Tuple, List
import torch
import torch.nn as nn
import torch.nn.functional as functional
import torch.distributed as dist
f... | 38.668675 | 119 | 0.621436 |
6ec38b237400c36dd79206a7de24521d924c26b5 | 940 | py | Python | talent/urls.py | flannerykj/urbanapplause | c9b6c0f9a2f65b869fe1e6fa921972e7236e4fe5 | [
"MIT"
] | null | null | null | talent/urls.py | flannerykj/urbanapplause | c9b6c0f9a2f65b869fe1e6fa921972e7236e4fe5 | [
"MIT"
] | null | null | null | talent/urls.py | flannerykj/urbanapplause | c9b6c0f9a2f65b869fe1e6fa921972e7236e4fe5 | [
"MIT"
] | null | null | null | from django.conf.urls import url
from . import views
app_name = 'talent'
urlpatterns = [
url(r'^$', views.IndexView.as_view(), name='index'),
url(r'^musicians/$', views.MusicianIndex.as_view(), name='musicians'),
url(r'^musicians/(?P<pk>[0-9]+)/$', views.MusicianDetail.as_view(), name='musician-detail'),
... | 55.294118 | 98 | 0.659574 |
6ec48fdaa8687076f0c91144e66c1442f92aee33 | 402 | py | Python | examples/modular_bot/bot.py | fuzzysearch404/discord-ext-modules | f97406dedee6cd8862bcc1f15ff994dde79f4c90 | [
"MIT"
] | null | null | null | examples/modular_bot/bot.py | fuzzysearch404/discord-ext-modules | f97406dedee6cd8862bcc1f15ff994dde79f4c90 | [
"MIT"
] | null | null | null | examples/modular_bot/bot.py | fuzzysearch404/discord-ext-modules | f97406dedee6cd8862bcc1f15ff994dde79f4c90 | [
"MIT"
] | null | null | null | import discord
from discord.ext.modules import ModularCommandClient
if __name__ == "__main__":
client = ModularCommandClient(intents=discord.Intents.none())
client.load_extension("commands.hello_module")
client.load_extension("commands.advanced_module")
client.run("your_bot_token")
| 26.8 | 65 | 0.731343 |
6ec4b74ab4db122d30b5b736d0e106eb22df1a59 | 11,282 | py | Python | plazma.py | caos21/Grodi | 3ae09f9283f3e1afdd641943e2244afc78511053 | [
"Apache-2.0"
] | 2 | 2019-12-11T16:19:46.000Z | 2020-08-19T20:14:18.000Z | plazma.py | caos21/Grodi | 3ae09f9283f3e1afdd641943e2244afc78511053 | [
"Apache-2.0"
] | null | null | null | plazma.py | caos21/Grodi | 3ae09f9283f3e1afdd641943e2244afc78511053 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Benjamin Santos
#
# 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... | 34.713846 | 87 | 0.576139 |
6ec6806b3360ba70b659e8d4a38b4d380d150247 | 1,842 | py | Python | sftpgo_client/base/models/crypt_fs_config.py | ramnes/sftpgo-client | 016da5e11274362eb2e4c2d0e78e2b88c25ea515 | [
"MIT"
] | 5 | 2021-03-23T15:59:30.000Z | 2021-06-30T09:50:55.000Z | sftpgo_client/base/models/crypt_fs_config.py | ramnes/sftpgo-client | 016da5e11274362eb2e4c2d0e78e2b88c25ea515 | [
"MIT"
] | 2 | 2021-03-24T22:06:12.000Z | 2021-07-28T11:59:52.000Z | sftpgo_client/base/models/crypt_fs_config.py | ramnes/sftpgo-client | 016da5e11274362eb2e4c2d0e78e2b88c25ea515 | [
"MIT"
] | 1 | 2022-01-18T17:04:32.000Z | 2022-01-18T17:04:32.000Z | from typing import Any, Dict, List, Type, TypeVar, Union
import attr
from ..models.secret import Secret
from ..types import UNSET, Unset
T = TypeVar("T", bound="CryptFsConfig")
| 29.238095 | 77 | 0.647123 |
6ec843c15f7247a66d7807de9b1b0eb37d884ff5 | 3,598 | py | Python | venvs/sitio_web/restaurantes/views.py | mmaguero/MII-SSBW16-17 | 25b6c340c63a2fbe8342b48ec7f730b68c58d1bc | [
"MIT"
] | 1 | 2017-04-22T11:02:38.000Z | 2017-04-22T11:02:38.000Z | venvs/sitio_web/restaurantes/views.py | mmaguero/MII-SSBW16-17 | 25b6c340c63a2fbe8342b48ec7f730b68c58d1bc | [
"MIT"
] | 4 | 2017-06-17T16:10:45.000Z | 2022-02-13T20:23:04.000Z | venvs/sitio_web/restaurantes/views.py | mmaguero/MII-SSBW16-17 | 25b6c340c63a2fbe8342b48ec7f730b68c58d1bc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from django.shortcuts import render, HttpResponse,redirect
from django.http import JsonResponse
from .forms import RestaurantesForm
from .models import restaurants, addr#, image
from django.contrib.auth.decorators import login_required
import logging
log = logging.getLogger(__name__)
# Create... | 30.491525 | 248 | 0.636465 |
6ec8b33e8b06b3f5e838904586efee4b116849d8 | 3,705 | py | Python | networking-master/CodeBlue.py | Marzooq13579/Hack-Gadgets | 4b9351c4465f3e01fb0390b1e86dfe7c26237a19 | [
"MIT"
] | 8 | 2019-02-17T20:11:46.000Z | 2019-10-18T06:27:16.000Z | networking-master/CodeBlue.py | Marzooq13579/Hack-Gadgets | 4b9351c4465f3e01fb0390b1e86dfe7c26237a19 | [
"MIT"
] | null | null | null | networking-master/CodeBlue.py | Marzooq13579/Hack-Gadgets | 4b9351c4465f3e01fb0390b1e86dfe7c26237a19 | [
"MIT"
] | 4 | 2019-02-17T23:00:18.000Z | 2019-10-18T06:27:14.000Z | import cb, time, struct, sys, random, string
try:
import console
console.set_color(0.0,0.2,1)
print """
_____ _ _____ _
| |___ _| |___| __ | |_ _ ___
| --| . | . | -_| __ -| | | | -_|
|_____|___|___|___|_____|_|___|___|
_____
_ __/ ___/
... | 23.301887 | 98 | 0.57139 |
6ecb10199a77a73ed62e4b61289eba8a812c02c6 | 342 | py | Python | products/urls.py | Tsatsubii/tsatsubii-helpdesk | baee05b4fd1aedfda8e4039c45f182f29e8db348 | [
"MIT"
] | null | null | null | products/urls.py | Tsatsubii/tsatsubii-helpdesk | baee05b4fd1aedfda8e4039c45f182f29e8db348 | [
"MIT"
] | null | null | null | products/urls.py | Tsatsubii/tsatsubii-helpdesk | baee05b4fd1aedfda8e4039c45f182f29e8db348 | [
"MIT"
] | null | null | null | from django.urls import path
from .views import *
app_name = 'products'
urlpatterns = [
path('create', CreateProduct.as_view(), name='create'),
path('view/<int:pk>', ProductDetail.as_view(), name='detail'),
path('list', ProductList.as_view(), name='list'),
path('<int:pk>/update', ProductUpdate.as_view... | 28.5 | 68 | 0.666667 |
6ecb7c2943ca6eaec822d4f6b7669ca1cd39c2c1 | 13,004 | py | Python | src/panoramic/cli/errors.py | kubamahnert/panoramic-cli | 036f45a05d39f5762088ce23dbe367b938192f79 | [
"MIT"
] | 5 | 2020-11-13T17:26:59.000Z | 2021-03-19T15:11:26.000Z | src/panoramic/cli/errors.py | kubamahnert/panoramic-cli | 036f45a05d39f5762088ce23dbe367b938192f79 | [
"MIT"
] | 5 | 2020-10-28T10:22:35.000Z | 2021-01-27T17:33:58.000Z | src/panoramic/cli/errors.py | kubamahnert/panoramic-cli | 036f45a05d39f5762088ce23dbe367b938192f79 | [
"MIT"
] | 3 | 2021-01-26T07:58:03.000Z | 2021-03-11T13:28:34.000Z | import functools
import os
import signal
import sys
from abc import ABC
from enum import Enum
from pathlib import Path
from typing import Callable, ClassVar, List, Optional
from jsonschema.exceptions import ValidationError as JsonSchemaValidationError
from requests.exceptions import RequestException
from yaml.error im... | 30.383178 | 119 | 0.661181 |
6ecd09c39c02e164cec80cd3178067eb0c5adcdc | 336 | py | Python | server/src/__init__.py | dmitrijbozhkov/zno-library | 888ccde7163f8ac6746e4065f47d5070eadff5a7 | [
"Apache-2.0"
] | null | null | null | server/src/__init__.py | dmitrijbozhkov/zno-library | 888ccde7163f8ac6746e4065f47d5070eadff5a7 | [
"Apache-2.0"
] | null | null | null | server/src/__init__.py | dmitrijbozhkov/zno-library | 888ccde7163f8ac6746e4065f47d5070eadff5a7 | [
"Apache-2.0"
] | null | null | null | """ Builds and runs application """
from app import app, user_datastore, db
from api_module.api_routes import api
from auth_module.auth_routes import auth
app.register_blueprint(api)
app.register_blueprint(auth)
if __name__ == "__main__":
# database = create_db(connection_str)
# attach_db(g, database)
app... | 25.846154 | 42 | 0.758929 |
6ecdc7cb0a885b814b6a6f30cd78f9066a128b3b | 381 | py | Python | flask_miracle/__init__.py | tdpsk/flask-miracle-acl | 426a9845854678d00108cf5f91ada9323968b524 | [
"BSD-2-Clause"
] | 2 | 2018-01-17T15:57:38.000Z | 2018-02-06T00:03:16.000Z | flask_miracle/__init__.py | tdpsk/flask-miracle-acl | 426a9845854678d00108cf5f91ada9323968b524 | [
"BSD-2-Clause"
] | null | null | null | flask_miracle/__init__.py | tdpsk/flask-miracle-acl | 426a9845854678d00108cf5f91ada9323968b524 | [
"BSD-2-Clause"
] | null | null | null | '''
flask_miracle
-------------
This module provides a fabric layer between the Flask framework and the
Miracle ACL library.
:copyright: (c) 2017 by Timo Puschkasch.
:license: BSD, see LICENSE for more details.
'''
from .base import Acl
from .functions import check_all, check_any, set_current_... | 27.214286 | 75 | 0.716535 |
6ecea48303630a92cce0c4706954968c1cd05d0f | 134 | py | Python | sopy/tags/__init__.py | AlexFrazer/sopython-site | 4ede64cf6d04def596be13feeaa4d84ce8503ef3 | [
"BSD-3-Clause"
] | 81 | 2015-02-17T17:07:27.000Z | 2021-08-15T17:46:13.000Z | sopy/tags/__init__.py | AlexFrazer/sopython-site | 4ede64cf6d04def596be13feeaa4d84ce8503ef3 | [
"BSD-3-Clause"
] | 81 | 2015-02-17T17:04:16.000Z | 2021-02-21T03:52:55.000Z | sopy/tags/__init__.py | AlexFrazer/sopython-site | 4ede64cf6d04def596be13feeaa4d84ce8503ef3 | [
"BSD-3-Clause"
] | 29 | 2015-01-18T18:28:06.000Z | 2022-02-05T03:11:04.000Z | from flask import Blueprint
bp = Blueprint('tags', __name__)
| 14.888889 | 32 | 0.746269 |
6eceaf402774f48fd5e753b9693ff245ec9cc7ae | 152 | py | Python | {{cookiecutter.project_slug}}/backend/api/v1/handlers/__init__.py | devalv/cookiecutter-fastapi | c7cfd3caa14b40dcc5d8ff6bdb6e25cfed3c9d00 | [
"MIT"
] | 2 | 2021-12-26T00:10:19.000Z | 2022-01-30T21:24:31.000Z | {{cookiecutter.project_slug}}/backend/api/v1/handlers/__init__.py | devalv/cookiecutter-fastapi | c7cfd3caa14b40dcc5d8ff6bdb6e25cfed3c9d00 | [
"MIT"
] | 1 | 2021-10-10T17:38:30.000Z | 2021-10-10T18:30:24.000Z | {{cookiecutter.project_slug}}/backend/api/v1/handlers/__init__.py | devalv/cookiecutter-fastapi | c7cfd3caa14b40dcc5d8ff6bdb6e25cfed3c9d00 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""{{ cookiecutter.project_slug }} rest-api handlers."""
from .security import security_router
__all__ = ("security_router",)
| 21.714286 | 56 | 0.684211 |
6eceb56b5b2b3973a3c6557e579442305e42471b | 3,374 | py | Python | asyncspotify/album.py | minibox24/asyncspotify | 3767cf19cf598fb179883cffd878e2440c16a57c | [
"MIT"
] | 7 | 2020-06-16T21:24:42.000Z | 2022-03-10T20:23:29.000Z | asyncspotify/album.py | minibox24/asyncspotify | 3767cf19cf598fb179883cffd878e2440c16a57c | [
"MIT"
] | 13 | 2020-03-22T12:07:04.000Z | 2021-08-15T19:06:57.000Z | asyncspotify/album.py | minibox24/asyncspotify | 3767cf19cf598fb179883cffd878e2440c16a57c | [
"MIT"
] | 5 | 2020-03-22T18:21:55.000Z | 2021-10-03T06:30:30.000Z | from datetime import datetime
from .mixins import ArtistMixin, ExternalIDMixin, ExternalURLMixin, ImageMixin, TrackMixin
from .object import SpotifyObject
from .track import SimpleTrack
| 31.830189 | 224 | 0.727623 |
6ecf4bd8dbec5f43c3a5dbb66ff367208ec1e14c | 73 | py | Python | virustotal_intelligence/__init__.py | elastic/opencti-connector-vti | 52bd6e8c40a8b96f34316b87d4550f308844abbe | [
"Apache-2.0"
] | 1 | 2022-02-11T13:36:11.000Z | 2022-02-11T13:36:11.000Z | virustotal_intelligence/__init__.py | elastic/opencti-connector-vti | 52bd6e8c40a8b96f34316b87d4550f308844abbe | [
"Apache-2.0"
] | null | null | null | virustotal_intelligence/__init__.py | elastic/opencti-connector-vti | 52bd6e8c40a8b96f34316b87d4550f308844abbe | [
"Apache-2.0"
] | null | null | null | __version__ = "5.1.3"
LOGGER_NAME = "connector.virustotal_intelligence"
| 18.25 | 49 | 0.780822 |
6ed12b3edc7505ed891b2d8f3913b9e4dec71522 | 152 | py | Python | training/config_interface/__init__.py | khoehlein/CNNs-for-Wind-Field-Downscaling | eb8418d4d893fcb2beb929abb241281b7a9b6a95 | [
"MIT"
] | 5 | 2021-05-05T06:08:52.000Z | 2022-03-24T04:57:52.000Z | training/config_interface/__init__.py | khoehlein/CNNs-for-Wind-Field-Downscaling | eb8418d4d893fcb2beb929abb241281b7a9b6a95 | [
"MIT"
] | null | null | null | training/config_interface/__init__.py | khoehlein/CNNs-for-Wind-Field-Downscaling | eb8418d4d893fcb2beb929abb241281b7a9b6a95 | [
"MIT"
] | 2 | 2021-08-07T05:18:05.000Z | 2022-03-31T03:48:37.000Z | from training.config_interface.BaseTrainingProcess import BaseTrainingProcess
from training.config_interface.BaseTrainingEpoch import BaseTrainingEpoch
| 50.666667 | 77 | 0.921053 |
6ed14769a9b989c5617ba6fd0d9b5db6ab25f970 | 2,948 | py | Python | tools_box/_hr/doctype/stationaries_log/stationaries_log.py | maisonarmani/Tools_Box | 4f8cc3a0deac1be50a3ac80758a10608faf58454 | [
"MIT"
] | 4 | 2017-09-25T23:34:08.000Z | 2020-07-17T23:52:26.000Z | tools_box/_hr/doctype/stationaries_log/stationaries_log.py | maisonarmani/Tools_Box | 4f8cc3a0deac1be50a3ac80758a10608faf58454 | [
"MIT"
] | null | null | null | tools_box/_hr/doctype/stationaries_log/stationaries_log.py | maisonarmani/Tools_Box | 4f8cc3a0deac1be50a3ac80758a10608faf58454 | [
"MIT"
] | 5 | 2017-06-02T01:58:32.000Z | 2022-02-22T16:59:01.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2017, masonarmani38@gmail.com and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
| 30.708333 | 123 | 0.640095 |
6ed16212d719203dc9c8b385ee044edff5accf55 | 205 | py | Python | html/semantics/scripting-1/the-script-element/module/resources/delayed-modulescript.py | ziransun/wpt | ab8f451eb39eb198584d547f5d965ef54df2a86a | [
"BSD-3-Clause"
] | 8 | 2019-04-09T21:13:05.000Z | 2021-11-23T17:25:18.000Z | html/semantics/scripting-1/the-script-element/module/resources/delayed-modulescript.py | ziransun/wpt | ab8f451eb39eb198584d547f5d965ef54df2a86a | [
"BSD-3-Clause"
] | 21 | 2021-03-31T19:48:22.000Z | 2022-03-12T00:24:53.000Z | html/semantics/scripting-1/the-script-element/module/resources/delayed-modulescript.py | ziransun/wpt | ab8f451eb39eb198584d547f5d965ef54df2a86a | [
"BSD-3-Clause"
] | 11 | 2019-04-12T01:20:16.000Z | 2021-11-23T17:25:02.000Z | import time
| 25.625 | 84 | 0.663415 |
6ed320ed0b2ababd92ec43fa0249838c7f41091f | 1,119 | py | Python | build_scripts/yariv_shaders/yariv_to_hex.py | danilw/vulkan-shadertoy-launcher | 8a8a00f2f32d5c4dc64b625a9bdfe4adcdc5c4ec | [
"MIT"
] | 37 | 2020-03-16T00:21:03.000Z | 2022-03-04T23:30:30.000Z | build_scripts/yariv_shaders/yariv_to_hex.py | danilw/vulkan-shadertoy-launcher | 8a8a00f2f32d5c4dc64b625a9bdfe4adcdc5c4ec | [
"MIT"
] | 1 | 2020-06-04T12:29:24.000Z | 2021-03-14T21:31:55.000Z | example_game/shaders/yariv_to_hex.py | danilw/vulkan_shader_launcher | e41c5a9c0f35a72e12a5300f194e9faff83aa684 | [
"MIT"
] | 2 | 2021-03-27T06:28:53.000Z | 2021-09-05T20:29:36.000Z | import struct
import os
import sys
import subprocess
if len(sys.argv) != 2:
print('Usage: python %s filename \n output is *.spv *.yariv and *.hex file \n' % sys.argv[0])
quit()
inputfilepath = sys.argv[1]
outputname = os.path.basename(inputfilepath)
outdir = os.path.dirname(inputfilepath)
ginfile = os.path.basen... | 23.808511 | 98 | 0.670241 |
6ed529dee684fd60fac1d8d89d7b4a98c0265b6b | 3,672 | py | Python | gui/cli.py | HaoZeke/prest | eec6b34bde4e060f52a391662347918995ded245 | [
"BSD-3-Clause"
] | null | null | null | gui/cli.py | HaoZeke/prest | eec6b34bde4e060f52a391662347918995ded245 | [
"BSD-3-Clause"
] | null | null | null | gui/cli.py | HaoZeke/prest | eec6b34bde4e060f52a391662347918995ded245 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import sys
import logging
import argparse
import tqdm
import dataset.budgetary
from model import *
from test import MockWorker
from dataset import load_raw_csv
from gui.estimation import Options as EstimationOpts
from dataset.experimental_data import ExperimentalData
logging.basicConfig(level... | 31.655172 | 106 | 0.659586 |
6ed7f888ecc9bba08e6a0dcd86d63bb68f3e4ae3 | 12,156 | py | Python | KML.py | ncareol/PlanFlight | c38b3e1a99f52655cae9e1b4f4c2ee06e56833eb | [
"BSD-3-Clause"
] | 1 | 2021-06-16T01:10:35.000Z | 2021-06-16T01:10:35.000Z | KML.py | NCAR/PlanFlight | c38b3e1a99f52655cae9e1b4f4c2ee06e56833eb | [
"BSD-3-Clause"
] | null | null | null | KML.py | NCAR/PlanFlight | c38b3e1a99f52655cae9e1b4f4c2ee06e56833eb | [
"BSD-3-Clause"
] | null | null | null | # file KML.py
#
"Produces a kml file from the track as defined in ModuleConstructor.Track."
# Strategy here is to produce two .kml files, one that references
# google.com and one that references acserver.raf.ucar.edu, the latter
# for use on the aircraft to avoid remote connections to google.com
# in flight. The latter... | 48.430279 | 116 | 0.618707 |
6ed8e2ed4b2704d5c1be4866ec0fcfee29634e45 | 1,932 | py | Python | api.py | amagrabi/oeb-importer-proto | f93b1ac1834e10595c8d89e23cde1fadfc88d009 | [
"Apache-2.0"
] | null | null | null | api.py | amagrabi/oeb-importer-proto | f93b1ac1834e10595c8d89e23cde1fadfc88d009 | [
"Apache-2.0"
] | null | null | null | api.py | amagrabi/oeb-importer-proto | f93b1ac1834e10595c8d89e23cde1fadfc88d009 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Functions to make API calls.
@author: amagrabi
"""
import requests
def login(client_id, client_secret, project_key, scope, host = 'EU'):
'''Authentification
Args:
client_id: client_id.
client_secret: client_secret.
project_key... | 29.272727 | 104 | 0.59058 |
6ed978e5e0ccff6910a7ff36922b214818cfc125 | 769 | py | Python | model/addParams.py | thegricean/modals | 9bb267a64542ee30e2770d79d9cd5d9cce890be8 | [
"MIT"
] | null | null | null | model/addParams.py | thegricean/modals | 9bb267a64542ee30e2770d79d9cd5d9cce890be8 | [
"MIT"
] | null | null | null | model/addParams.py | thegricean/modals | 9bb267a64542ee30e2770d79d9cd5d9cce890be8 | [
"MIT"
] | null | null | null | import sys, re, string, numpy
p_strongs = numpy.arange(0.1, 0.9, 0.1)
costs = range(3, 10, 1)
for p_s in p_strongs:
p_meds = numpy.arange(0.1, 1-p_s, 0.1)
for p_m in p_meds:
p_w = 1 - p_s - p_m
for cost in costs:
filename = str(p_s) + "_" + str(p_m) + "_" + str(p_w) + "_" + str(cos... | 40.473684 | 186 | 0.461638 |
6ed9b7c639af766ee8c222459a703935071b14fd | 1,625 | py | Python | shuttl/Storage.py | shuttl-io/shuttl-cms | 50c85db0de42e901c371561270be6425cc65eccc | [
"MIT"
] | 2 | 2017-06-26T18:06:58.000Z | 2017-10-11T21:45:29.000Z | shuttl/Storage.py | shuttl-io/shuttl-cms | 50c85db0de42e901c371561270be6425cc65eccc | [
"MIT"
] | null | null | null | shuttl/Storage.py | shuttl-io/shuttl-cms | 50c85db0de42e901c371561270be6425cc65eccc | [
"MIT"
] | null | null | null | import boto3 as aws
import botocore
from shuttl import app
## Class for AWS S3 storage
| 28.508772 | 93 | 0.603692 |
6edba8dc188676342b22f5209b14d0e344cc743f | 21,822 | py | Python | util/process_results.py | blackoutjack/jamweaver | 31533556617e9190e565b2c9edd7e7752ce71f32 | [
"BSD-3-Clause"
] | 2 | 2015-08-14T12:34:27.000Z | 2015-10-15T04:07:17.000Z | util/process_results.py | blackoutjack/jamweaver | 31533556617e9190e565b2c9edd7e7752ce71f32 | [
"BSD-3-Clause"
] | null | null | null | util/process_results.py | blackoutjack/jamweaver | 31533556617e9190e565b2c9edd7e7752ce71f32 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
#
# This script is used to analyze, tabulate, and graph data generated by
# the JAM weaver and by JAMScript performance instrumentation. It was
# used to produce figures presented in the experimental results section
# of ``Efficient Runtime Enforcement Techniques for Policy Weaving,''
# published at F... | 32.091176 | 242 | 0.645129 |
6edbba4a74356991de5aa46330579ce20ab0026e | 245 | py | Python | Controller/hone_control.py | pupeng/hone | 8fb2618a51478049c73158f1d54e7165a37dffcf | [
"BSD-3-Clause"
] | 5 | 2017-02-18T12:39:13.000Z | 2021-03-29T09:21:58.000Z | Controller/hone_control.py | pupeng/hone | 8fb2618a51478049c73158f1d54e7165a37dffcf | [
"BSD-3-Clause"
] | null | null | null | Controller/hone_control.py | pupeng/hone | 8fb2618a51478049c73158f1d54e7165a37dffcf | [
"BSD-3-Clause"
] | 7 | 2015-08-12T10:08:21.000Z | 2018-08-30T12:55:25.000Z | # Copyright (c) 2011-2013 Peng Sun. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the COPYRIGHT file.
# hone_control.py
# a placeholder file for any control jobs HONE runtime generates
| 35 | 72 | 0.767347 |
6edc5a13e61a1bdcdf25bd7cc6d12ff98125bfdd | 39 | py | Python | Python/Tests/TestData/SendToInteractiveWorkspace/PrintInterpreter.py | techkey/PTVS | 8355e67eedd8e915ca49bd38a2f36172696fd903 | [
"Apache-2.0"
] | 404 | 2019-05-07T02:21:57.000Z | 2022-03-31T17:03:04.000Z | Python/Tests/TestData/SendToInteractiveWorkspace/PrintInterpreter.py | techkey/PTVS | 8355e67eedd8e915ca49bd38a2f36172696fd903 | [
"Apache-2.0"
] | 1,672 | 2019-05-06T21:09:38.000Z | 2022-03-31T23:16:04.000Z | Python/Tests/TestData/SendToInteractiveWorkspace/PrintInterpreter.py | techkey/PTVS | 8355e67eedd8e915ca49bd38a2f36172696fd903 | [
"Apache-2.0"
] | 186 | 2019-05-13T03:17:37.000Z | 2022-03-31T16:24:05.000Z | import sys
print(sys.version_info[:2])
| 13 | 27 | 0.769231 |
6eddc54b10cac9432a4ae367a239a6cc76b7801e | 2,467 | py | Python | datename/filetime.py | tekemperor/datename | 6e2d27c6e64ecb8e07a673c2aa10ed1e661aad03 | [
"MIT"
] | null | null | null | datename/filetime.py | tekemperor/datename | 6e2d27c6e64ecb8e07a673c2aa10ed1e661aad03 | [
"MIT"
] | null | null | null | datename/filetime.py | tekemperor/datename | 6e2d27c6e64ecb8e07a673c2aa10ed1e661aad03 | [
"MIT"
] | null | null | null | """This module is designed to build timestrings from file metadata.
Everything is done in seconds since the unix epoch or UTC.
Author: Brian Lindsay
Author Email: tekemperor@gmail.com
"""
import sys
import os
import datetime
def filetime(file_path):
"""Returns formatted time string from file metadata.
Uses mo... | 34.746479 | 130 | 0.631131 |
6ee3a4796a1381dccf1edb9593a4f340f39bac8a | 9,750 | py | Python | main_cifar10.py | snu-ccl/approxCNN | 49cc0e6635682f678f8501424063102fe30d7dd6 | [
"CECILL-B"
] | 1 | 2022-01-16T03:45:43.000Z | 2022-01-16T03:45:43.000Z | main_cifar10.py | snu-ccl/approxCNN | 49cc0e6635682f678f8501424063102fe30d7dd6 | [
"CECILL-B"
] | null | null | null | main_cifar10.py | snu-ccl/approxCNN | 49cc0e6635682f678f8501424063102fe30d7dd6 | [
"CECILL-B"
] | null | null | null | from __future__ import print_function
from tqdm import *
import sys
import argparse
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
from torch.utils.data import DataLoader
from torch.optim import lr_scheduler
import torch.utils.data.distributed
import torchvision.tran... | 41.489362 | 136 | 0.643282 |
6ee540409b07f789b14091c60316fa04528be96a | 1,355 | py | Python | annotation_predictor/concat_detection_records.py | Inch4Tk/label_server | 3d0c39dd5a0c456794a1375051ca4f93a438ebf6 | [
"MIT"
] | null | null | null | annotation_predictor/concat_detection_records.py | Inch4Tk/label_server | 3d0c39dd5a0c456794a1375051ca4f93a438ebf6 | [
"MIT"
] | null | null | null | annotation_predictor/concat_detection_records.py | Inch4Tk/label_server | 3d0c39dd5a0c456794a1375051ca4f93a438ebf6 | [
"MIT"
] | null | null | null | import argparse
import json
import os
from datetime import datetime
from settings import annotation_predictor_metadata_dir
def concat_detection_record(record1: str, record2: str):
"""
Concatenates two detection records and saves them in a new file.
Args:
record1: Path to first record, saved in a ... | 32.261905 | 81 | 0.678967 |
6ee63c9ba38d1ce17bcb6d0ca426d297c79f4912 | 2,579 | py | Python | OPTIMAQS/controller/controller/device.py | jeremyforest/whole_optic_gui | 7af257e739da90b8ce8b2531aa1c520959fa7bff | [
"MIT"
] | null | null | null | OPTIMAQS/controller/controller/device.py | jeremyforest/whole_optic_gui | 7af257e739da90b8ce8b2531aa1c520959fa7bff | [
"MIT"
] | 6 | 2021-02-02T23:09:14.000Z | 2022-03-12T00:52:01.000Z | OPTIMAQS/controller/controller/device.py | jeremyforest/whole_optic_gui | 7af257e739da90b8ce8b2531aa1c520959fa7bff | [
"MIT"
] | null | null | null | """
Generic Device class for manipulators.
To make a new device, one must implement at least:
* position
* absolute_move
"""
from numpy import array
import time
__all__ = ['Device'] | 23.66055 | 81 | 0.535479 |
6ee9460f4f92c18fd62442a8f5aa3304ac1ef00f | 9,068 | py | Python | phot/command_test.py | SilverRon/gppy | 0ee56ca270af62afe1702fce37bef30add14f12a | [
"MIT"
] | 4 | 2019-05-08T08:08:59.000Z | 2021-12-22T08:57:46.000Z | phot/command_test.py | SilverRon/gppy | 0ee56ca270af62afe1702fce37bef30add14f12a | [
"MIT"
] | null | null | null | phot/command_test.py | SilverRon/gppy | 0ee56ca270af62afe1702fce37bef30add14f12a | [
"MIT"
] | 2 | 2019-05-08T08:09:02.000Z | 2019-06-27T13:41:44.000Z | # PHOTOMETRY CODE (TEST) FOR PYTHON 3.X
# 2019.03.09
# GREGORY S.H. PAEK
#============================================================
import os, glob
import numpy as np
import matplotlib.pyplot as plt
from astropy.io import ascii
from astropy.io import fits
#from imsng import zpcal
#===================================... | 41.031674 | 168 | 0.585686 |
6eec71c6872297c8b70027ce91c50b56182bea2c | 5,440 | py | Python | LetsCook/recipes/views.py | ivo-bass/iCook | c45f97ac3d8da0c52ccd85ecac0bab51bc4c8048 | [
"MIT"
] | 1 | 2021-08-05T07:15:59.000Z | 2021-08-05T07:15:59.000Z | LetsCook/recipes/views.py | ivo-bass/iCook | c45f97ac3d8da0c52ccd85ecac0bab51bc4c8048 | [
"MIT"
] | null | null | null | LetsCook/recipes/views.py | ivo-bass/iCook | c45f97ac3d8da0c52ccd85ecac0bab51bc4c8048 | [
"MIT"
] | null | null | null | from django.db import transaction
from django.shortcuts import render, redirect
from django.urls import reverse_lazy, reverse
from django.views.generic import CreateView, ListView, DeleteView, UpdateView, DetailView
from django.contrib.auth.mixins import LoginRequiredMixin
from LetsCook.common.forms import CommentForm... | 35.096774 | 96 | 0.662316 |
6eeeabe42368fcdd5282d7697a76a1888678e252 | 4,540 | py | Python | myhoodApp/forms.py | MutuaFranklin/MyHood | 6ddd21c4a67936c8926d6f5a8665a06edf81f39e | [
"MIT"
] | null | null | null | myhoodApp/forms.py | MutuaFranklin/MyHood | 6ddd21c4a67936c8926d6f5a8665a06edf81f39e | [
"MIT"
] | null | null | null | myhoodApp/forms.py | MutuaFranklin/MyHood | 6ddd21c4a67936c8926d6f5a8665a06edf81f39e | [
"MIT"
] | null | null | null |
from . models import Profile, Business,Myhood, PolicePosts, HealthFacilities, UserPost
from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django.forms import widgets
| 35.46875 | 160 | 0.586344 |
6eef0375ed02fe1987ef09d32e826630ef2e2fef | 4,599 | py | Python | ponyo/train_vae_modules.py | ajlee21/ponyo | f68a461b2edd4ab3d9c0699a1e5e8dcd1308cc75 | [
"BSD-3-Clause"
] | 1 | 2020-12-17T17:34:53.000Z | 2020-12-17T17:34:53.000Z | ponyo/train_vae_modules.py | ajlee21/ponyo | f68a461b2edd4ab3d9c0699a1e5e8dcd1308cc75 | [
"BSD-3-Clause"
] | 37 | 2020-06-15T18:15:10.000Z | 2022-02-10T02:34:29.000Z | ponyo/train_vae_modules.py | ajlee21/ponyo | f68a461b2edd4ab3d9c0699a1e5e8dcd1308cc75 | [
"BSD-3-Clause"
] | 3 | 2020-06-12T19:56:16.000Z | 2021-04-21T15:22:33.000Z | """
Author: Alexandra Lee
Date Created: 11 March 2020
Scripts related to training the VAE including
1. Normalizing gene expression data
2. Wrapper function to input training parameters and run vae
training in `vae.tybalt_2layer_model`
"""
from ponyo import vae, utils
import os
import pickle
import pandas as pd
from s... | 27.375 | 112 | 0.68928 |
42b27e1114addb6efa22983ea1b8536333e5b90e | 3,096 | py | Python | datar/forcats/misc.py | stjordanis/datar | 4e2b5db026ad35918954576badef9951928c0cb1 | [
"MIT"
] | 110 | 2021-03-09T04:10:40.000Z | 2022-03-13T10:28:20.000Z | datar/forcats/misc.py | sthagen/datar | 1218a549e2f0547c7b5a824ca6d9adf1bf96ba46 | [
"MIT"
] | 54 | 2021-06-20T18:53:44.000Z | 2022-03-29T22:13:07.000Z | datar/forcats/misc.py | sthagen/datar | 1218a549e2f0547c7b5a824ca6d9adf1bf96ba46 | [
"MIT"
] | 11 | 2021-06-18T03:03:14.000Z | 2022-02-25T11:48:26.000Z | """Provides other helper functions for factors"""
from typing import Any, Iterable
import numpy
from pandas import Categorical, DataFrame
from pipda import register_verb
from pipda.utils import CallingEnvs
from ..core.types import ForcatsRegType, ForcatsType, is_null, is_scalar
from ..core.utils import Array
from ..co... | 25.377049 | 78 | 0.622739 |
42b41a2f0adeb62c8c1ac936436eafb38cf4632a | 71 | py | Python | gnn_fw/__init__.py | krzysztoffiok/gnn-classification-pipeline | b0bfb209bcf8856e68d2714b04bada9104e3c75b | [
"MIT"
] | 1 | 2021-12-14T20:14:58.000Z | 2021-12-14T20:14:58.000Z | gnn_fw/__init__.py | krzysztoffiok/gnn-classification-pipeline | b0bfb209bcf8856e68d2714b04bada9104e3c75b | [
"MIT"
] | null | null | null | gnn_fw/__init__.py | krzysztoffiok/gnn-classification-pipeline | b0bfb209bcf8856e68d2714b04bada9104e3c75b | [
"MIT"
] | null | null | null | from . import utils
from . import models
__all__ = ['utils', 'models']
| 17.75 | 29 | 0.690141 |
42b603082633608e2a31d1e0d368cdcfc8b30d98 | 6,585 | py | Python | qucumber/utils/training_statistics.py | silky/QuCumber | f0dd8725b8dd3a0c94f10f1a3b88a769c63a567f | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2019-06-27T11:26:29.000Z | 2019-06-27T11:26:29.000Z | qucumber/utils/training_statistics.py | silky/QuCumber | f0dd8725b8dd3a0c94f10f1a3b88a769c63a567f | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | qucumber/utils/training_statistics.py | silky/QuCumber | f0dd8725b8dd3a0c94f10f1a3b88a769c63a567f | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright 2018 PIQuIL - All Rights Reserved
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache Licens... | 39.431138 | 88 | 0.603037 |
42b6226b2537a6c2f5c9d9708d383f584b883497 | 214 | py | Python | tests/test0.py | Rfys/ConcreteStructures | a6cf18dc4697643bc6acffe6d228c4f9fc55f127 | [
"MIT"
] | 1 | 2021-08-20T19:28:11.000Z | 2021-08-20T19:28:11.000Z | tests/test0.py | arifyunando/ConcreteStructures | a6cf18dc4697643bc6acffe6d228c4f9fc55f127 | [
"MIT"
] | null | null | null | tests/test0.py | arifyunando/ConcreteStructures | a6cf18dc4697643bc6acffe6d228c4f9fc55f127 | [
"MIT"
] | null | null | null | cond = True
while cond:
x = int(input("Input X Value :"))
y = 10 if (x > 10) else 5 if (x < 5) else x
print("{} is the Y value".format(y))
cond = True if input("continue? y/n :") == "y" else False
| 26.75 | 61 | 0.546729 |
42b7e07ad45d9d0be2cad9161c36276cb3b1762f | 1,433 | py | Python | 14.py | niharikasingh/aoc2018 | 21d430d393321e6066eca22d7c6b49e5eb42d756 | [
"MIT"
] | null | null | null | 14.py | niharikasingh/aoc2018 | 21d430d393321e6066eca22d7c6b49e5eb42d756 | [
"MIT"
] | null | null | null | 14.py | niharikasingh/aoc2018 | 21d430d393321e6066eca22d7c6b49e5eb42d756 | [
"MIT"
] | null | null | null | import copy
# assert next10(5) == [0,1,2,4,5,1,5,8,9,1]
# assert next10(9) == [5,1,5,8,9,1,6,7,7,9]
# assert next10(18) == [9,2,5,1,0,7,1,0,8,5]
# assert next10(2018) == [5,9,4,1,4,2,9,8,8,2]
# print(next10(760221))
assert next10([0,1,2,4,5]) == 5
assert next10([5,1,5,8,9]) == 9
assert next10([9,2,5,1,0]) == 18
asser... | 31.844444 | 66 | 0.491975 |
42b83fe05de3f7690454c9ae7844d6d5c0896fb0 | 892 | py | Python | rpc inv matriz/ServerRPC.py | Aldair47x/DISTRIBUIDOS-UTP | 182f143b3a5d73744f78eb4fe1428cbca22387c2 | [
"MIT"
] | null | null | null | rpc inv matriz/ServerRPC.py | Aldair47x/DISTRIBUIDOS-UTP | 182f143b3a5d73744f78eb4fe1428cbca22387c2 | [
"MIT"
] | null | null | null | rpc inv matriz/ServerRPC.py | Aldair47x/DISTRIBUIDOS-UTP | 182f143b3a5d73744f78eb4fe1428cbca22387c2 | [
"MIT"
] | null | null | null | import xmlrpclib
from SimpleXMLRPCServer import SimpleXMLRPCServer
from SimpleXMLRPCServer import SimpleXMLRPCRequestHandler
import numpy as np
from io import StringIO
from numpy.linalg import inv
from scipy.linalg import *
# Restrict to a particular path.
# Create server
server = SimpleXMLRPCServer(("loca... | 27.030303 | 59 | 0.734305 |
42b8718fafc7a5efe59718792e559a9ba4afb7ac | 38 | py | Python | jetbrains-academy/Zookeeper/Problems/Print an integer/task.py | robinpatra/ML-Study-3 | 6f401706a8da4cac5e63304ce09ff6ff62756d0b | [
"MIT"
] | null | null | null | jetbrains-academy/Zookeeper/Problems/Print an integer/task.py | robinpatra/ML-Study-3 | 6f401706a8da4cac5e63304ce09ff6ff62756d0b | [
"MIT"
] | null | null | null | jetbrains-academy/Zookeeper/Problems/Print an integer/task.py | robinpatra/ML-Study-3 | 6f401706a8da4cac5e63304ce09ff6ff62756d0b | [
"MIT"
] | null | null | null | # put your python code here
print(10)
| 12.666667 | 27 | 0.736842 |
42ba676a4b1855f63fba242958ff64fc7b10d468 | 1,524 | py | Python | damq/api/management/commands/check_settings.py | zhanghui9700/clouddam | 18c7c7578fb727bcab50737b51b8fb5c09070b48 | [
"Apache-2.0"
] | null | null | null | damq/api/management/commands/check_settings.py | zhanghui9700/clouddam | 18c7c7578fb727bcab50737b51b8fb5c09070b48 | [
"Apache-2.0"
] | null | null | null | damq/api/management/commands/check_settings.py | zhanghui9700/clouddam | 18c7c7578fb727bcab50737b51b8fb5c09070b48 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
from smtplib import SMTPException
from django.conf import settings
from django.core.management import BaseCommand
from django.core.mail import send_mail
| 30.48 | 84 | 0.57874 |
42ba9ea7e400e5ef293ccdc589dfbbce586a2405 | 4,113 | py | Python | sidomo/sidomo.py | noajshu/sdpm | b70825d9017eb0c2c6b6389345cccbcbd52cf669 | [
"Unlicense"
] | 358 | 2016-02-24T01:36:55.000Z | 2022-02-20T00:10:22.000Z | sidomo/sidomo.py | noajshu/sdpm | b70825d9017eb0c2c6b6389345cccbcbd52cf669 | [
"Unlicense"
] | 5 | 2016-02-24T22:50:25.000Z | 2017-01-30T07:58:00.000Z | sidomo/sidomo.py | noajshu/sdpm | b70825d9017eb0c2c6b6389345cccbcbd52cf669 | [
"Unlicense"
] | 27 | 2016-02-24T13:40:22.000Z | 2021-06-30T12:04:41.000Z | """Manages the lifecycle of a docker container.
Use via the with statement:
with Container(some_image) as c:
for line in c.run("some_command"):
print line
"""
import docker
import click, os
# sets the docker host from your environment variables
client = docker.Client(
**docker.utils.kwargs_from_env(a... | 33.713115 | 125 | 0.623389 |
42bb4531b3deb62a4952ce2f40bb5fa396ce9810 | 4,321 | py | Python | scripts/utils/prepare_data.py | Harshs27/mGLAD | f85d5a7cb2091a4528c762dc550d8c9b35d190b1 | [
"MIT"
] | null | null | null | scripts/utils/prepare_data.py | Harshs27/mGLAD | f85d5a7cb2091a4528c762dc550d8c9b35d190b1 | [
"MIT"
] | null | null | null | scripts/utils/prepare_data.py | Harshs27/mGLAD | f85d5a7cb2091a4528c762dc550d8c9b35d190b1 | [
"MIT"
] | null | null | null | import networkx as nx
import numpy as np
from sklearn import covariance
import torch
def convertToTorch(data, req_grad=False, use_cuda=False):
"""Convert data from numpy to torch variable, if the req_grad
flag is on then the gradient calculation is turned on.
"""
if not torch.is_tensor(data):
d... | 33.757813 | 78 | 0.649618 |
42bc62f46cb6d0412a2527cc37f497de098a673f | 1,475 | py | Python | Exercicios/multplica_matriz.py | eduardodarocha/Introducao_Ciencia_da_Computacao_com_Python_Parte_2_Coursera | b5b9198e16b4b67894b85766eb521ae96010accf | [
"MIT"
] | 1 | 2020-08-28T20:29:23.000Z | 2020-08-28T20:29:23.000Z | Exercicios/multplica_matriz.py | eduardodarocha/Introducao_Ciencia_da_Computacao_com_Python_Parte_2_Coursera | b5b9198e16b4b67894b85766eb521ae96010accf | [
"MIT"
] | null | null | null | Exercicios/multplica_matriz.py | eduardodarocha/Introducao_Ciencia_da_Computacao_com_Python_Parte_2_Coursera | b5b9198e16b4b67894b85766eb521ae96010accf | [
"MIT"
] | null | null | null | def multiplica_matrizes(m1, m2):
'''Minha soluo para multiplicao de matrizes'''
matriz = []
cont = 0
b1 = 0
for t in range(len(m1)): # nmeros de linhas mat1
linhanova = []
for t1 in range(len(m2[0])): #nmeros de colunas mat2
while cont < len(m2):
#a1 = m1[... | 28.921569 | 70 | 0.492203 |
42be5593e5ad34672a3cc8c35480ab8277503b75 | 366 | py | Python | zoo_checks/migrations/0016_auto_20190609_2337.py | falkben/zoo-checks | b1d6cf980088664b1feded4a1e08a82c6f358c33 | [
"Apache-2.0"
] | null | null | null | zoo_checks/migrations/0016_auto_20190609_2337.py | falkben/zoo-checks | b1d6cf980088664b1feded4a1e08a82c6f358c33 | [
"Apache-2.0"
] | 3 | 2019-06-01T14:56:19.000Z | 2019-06-03T13:53:27.000Z | zoo_checks/migrations/0016_auto_20190609_2337.py | falkben/zoo-checks | b1d6cf980088664b1feded4a1e08a82c6f358c33 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.2 on 2019-06-10 03:37
from django.db import migrations
| 19.263158 | 50 | 0.587432 |
42c012688f03cf2033f2ea77e4e8d937fb973de4 | 996 | py | Python | bifacialvf/tests/test_vf.py | shirubana/bifacialvf | 7cd1c4c658bb7a68f0815b2bd1a6d5c492ca7300 | [
"BSD-3-Clause"
] | 16 | 2018-01-17T06:03:23.000Z | 2021-11-08T18:54:20.000Z | bifacialvf/tests/test_vf.py | shirubana/bifacialvf | 7cd1c4c658bb7a68f0815b2bd1a6d5c492ca7300 | [
"BSD-3-Clause"
] | 36 | 2018-03-16T15:17:58.000Z | 2022-03-18T17:54:49.000Z | bifacialvf/tests/test_vf.py | shirubana/bifacialvf | 7cd1c4c658bb7a68f0815b2bd1a6d5c492ca7300 | [
"BSD-3-Clause"
] | 15 | 2018-01-11T09:11:13.000Z | 2022-03-21T11:37:42.000Z | """
Tests of the view factors module
"""
import pytest
import numpy as np
from bifacialvf.vf import getSkyConfigurationFactors
from bifacialvf.tests import (
SKY_BETA160_C05_D1, SKY_BETA20_C05_D1, SKY_BETA20_C0_D1, SKY_BETA160_C0_D1,
SKY_BETA160_C1_D1, SKY_BETA20_C1_D1, SKY_BETA20_C1_D0, SKY_BETA160_C1_D0,
... | 39.84 | 79 | 0.715863 |
42c0646e767e46f559cbd944cee5d0ed57e7deeb | 732 | py | Python | test_horovod.py | lu-wang-dl/test-horovod | 0b1699057fe03f84bbea46c3e63197a6c9e21c14 | [
"Apache-2.0"
] | null | null | null | test_horovod.py | lu-wang-dl/test-horovod | 0b1699057fe03f84bbea46c3e63197a6c9e21c14 | [
"Apache-2.0"
] | null | null | null | test_horovod.py | lu-wang-dl/test-horovod | 0b1699057fe03f84bbea46c3e63197a6c9e21c14 | [
"Apache-2.0"
] | null | null | null | # Databricks notebook source
import horovod.tensorflow.keras as hvd
# COMMAND ----------
from sparkdl import HorovodRunner
hr = HorovodRunner(np=-spark.sparkContext.defaultParallelism, driver_log_verbosity="all")
hr.run(run_training_horovod)
# COMMAND ----------
from sparkdl import HorovodRunner
hr = HorovodRunne... | 24.4 | 89 | 0.715847 |
42c257f8e741fb7454d04ca5e731e44ef13939f5 | 1,973 | py | Python | scripts/upload_certificates_to_ssm.py | ministryofjustice/bichard7-next-shared-infrastructure | 97ca93e00494e0e7df37dbf03dc6639a60fef956 | [
"MIT"
] | 2 | 2021-12-17T10:42:44.000Z | 2022-03-02T11:05:57.000Z | scripts/upload_certificates_to_ssm.py | ministryofjustice/bichard7-next-shared-infrastructure | 97ca93e00494e0e7df37dbf03dc6639a60fef956 | [
"MIT"
] | 4 | 2022-01-24T17:25:29.000Z | 2022-03-07T10:20:52.000Z | scripts/upload_certificates_to_ssm.py | ministryofjustice/bichard7-next-shared-infrastructure | 97ca93e00494e0e7df37dbf03dc6639a60fef956 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import boto3
import os
import base64
"""
Uploads pre-generated certificates to SSM for the ci to consume
example
WORKSPACE=dev-next ENVIRONMENT=sandbox aws-vault exec sandbox-shared -- make upload-certificates
"""
if __name__ == "__main__":
uploader = UploadCertificates()
uploader.r... | 29.893939 | 108 | 0.598074 |
42c29f19d671bb8c233ec4e951db0332a942d9aa | 1,709 | py | Python | OPManager.py | eduze/GenerativeDetector | 4aa85e1977abe0e400962dff12b3d0a26900bfd3 | [
"Apache-2.0"
] | 1 | 2018-05-11T03:12:11.000Z | 2018-05-11T03:12:11.000Z | OPManager.py | eduze/GenerativeDetector | 4aa85e1977abe0e400962dff12b3d0a26900bfd3 | [
"Apache-2.0"
] | null | null | null | OPManager.py | eduze/GenerativeDetector | 4aa85e1977abe0e400962dff12b3d0a26900bfd3 | [
"Apache-2.0"
] | null | null | null | import multiprocessing
from multiprocessing import Queue
from OpenPersonDetector import OpenPersonDetector
from newgen.GenerativeDetector import AbstractDetectorGenerator
| 32.245283 | 98 | 0.693973 |
42c3250899086a2d423b9d8448bed7aa2e3d35b4 | 1,832 | py | Python | datasets.py | Liuhongzhi2018/Car_detection | f32fea9c348c691ccc30b9804a4f3fa32732bbae | [
"MIT"
] | 1 | 2022-03-05T04:20:46.000Z | 2022-03-05T04:20:46.000Z | datasets.py | Liuhongzhi2018/Car_detection | f32fea9c348c691ccc30b9804a4f3fa32732bbae | [
"MIT"
] | null | null | null | datasets.py | Liuhongzhi2018/Car_detection | f32fea9c348c691ccc30b9804a4f3fa32732bbae | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 12 10:11:09 2020
@author: NAT
"""
import torch
from torch.utils.data import Dataset
import json
import os
from PIL import Image
from utils import transform
| 33.309091 | 105 | 0.543668 |
42c34955df6c0e7aa377ac0cc57e813a5826e6fa | 7,564 | py | Python | roles/gitlab_runner/filter_plugins/from_toml.py | wikimedia/operations-gitlab-ansible | f6433674ff812ea6e07ee192ff6fd848ba252aaa | [
"MIT"
] | 17 | 2019-03-08T15:33:46.000Z | 2021-11-02T18:22:47.000Z | roles/gitlab_runner/filter_plugins/from_toml.py | wikimedia/operations-gitlab-ansible | f6433674ff812ea6e07ee192ff6fd848ba252aaa | [
"MIT"
] | 8 | 2018-12-23T21:17:36.000Z | 2019-12-10T13:52:13.000Z | roles/gitlab_runner/filter_plugins/from_toml.py | wikimedia/operations-gitlab-ansible | f6433674ff812ea6e07ee192ff6fd848ba252aaa | [
"MIT"
] | 12 | 2019-01-26T15:00:32.000Z | 2022-03-15T08:04:17.000Z | #!/usr/bin/python
DOCUMENTATION = '''
---
module: to_toml, from_toml
version_added: "2.8"
short_description: Converts Python data to TOML and TOML to Python data.
author:
- "Samy Coenen (contact@samycoenen.be)"
'''
import datetime
import sys
from collections import OrderedDict
#pip3 install python-toml
def to_to... | 22.714715 | 77 | 0.504098 |
42c37f3f064078bde91e95903b77950bc9bd114f | 414 | py | Python | ABC190/D.py | shimomura314/AtcoderCodes | db1d62a7715f5f1b3c40eceff8d34f0f34839f41 | [
"MIT"
] | null | null | null | ABC190/D.py | shimomura314/AtcoderCodes | db1d62a7715f5f1b3c40eceff8d34f0f34839f41 | [
"MIT"
] | null | null | null | ABC190/D.py | shimomura314/AtcoderCodes | db1d62a7715f5f1b3c40eceff8d34f0f34839f41 | [
"MIT"
] | null | null | null |
n = int(input())
divisors = divisor(2*n)
answer = 0
for integer in divisors:
pair = 2*n // integer
a2 = pair + 1 - integer
if a2 % 2 == 0:
answer += 1
print(answer) | 21.789474 | 43 | 0.562802 |
42c55d5c799cf1af35cb63cb32b363a33a23a6ae | 862 | py | Python | TV/models/episode.py | viswas163/Parse-bot | 881df2767cc5bdf88ff5dcc451a97c2ed96fc073 | [
"MIT"
] | null | null | null | TV/models/episode.py | viswas163/Parse-bot | 881df2767cc5bdf88ff5dcc451a97c2ed96fc073 | [
"MIT"
] | null | null | null | TV/models/episode.py | viswas163/Parse-bot | 881df2767cc5bdf88ff5dcc451a97c2ed96fc073 | [
"MIT"
] | null | null | null | from mongoengine import Document, IntField, StringField, FloatField, connect
from pymongo import UpdateOne
| 29.724138 | 93 | 0.611369 |
42c5815338a4f22f9d03e6f124f41c7f94882e58 | 5,702 | py | Python | tests/__init__.py | open-contracting/pelican-backend | dee9afb48f7485f94544bcfbb977558d638098cd | [
"BSD-3-Clause"
] | 1 | 2021-07-21T15:23:22.000Z | 2021-07-21T15:23:22.000Z | tests/__init__.py | open-contracting/pelican-backend | dee9afb48f7485f94544bcfbb977558d638098cd | [
"BSD-3-Clause"
] | 40 | 2021-06-29T23:53:14.000Z | 2022-02-23T20:14:11.000Z | tests/__init__.py | open-contracting/pelican-backend | dee9afb48f7485f94544bcfbb977558d638098cd | [
"BSD-3-Clause"
] | null | null | null | import json
import os
from contextlib import AbstractContextManager
from tools import settings
# I'm not sure if the below can be accomplished with pytest, so using unittest with pytest-subtests. At first glance,
# we would need to auto-generate parametrized `test_` functions, with the module as a bound variable.... | 29.853403 | 117 | 0.452999 |
42c7d640438be57526485791184f5fce55d31e34 | 276 | py | Python | setup.py | pystatgen/sgk | f39e1b1bc3b16d05c5043ab5d445076424dad229 | [
"Apache-2.0"
] | 74 | 2020-06-16T18:08:24.000Z | 2022-02-10T06:42:30.000Z | setup.py | pystatgen/sgk | f39e1b1bc3b16d05c5043ab5d445076424dad229 | [
"Apache-2.0"
] | 677 | 2020-06-18T15:57:33.000Z | 2022-03-31T16:20:50.000Z | setup.py | pystatgen/sgk | f39e1b1bc3b16d05c5043ab5d445076424dad229 | [
"Apache-2.0"
] | 20 | 2020-06-22T13:40:10.000Z | 2022-03-05T03:33:13.000Z | #!/usr/bin/env python
from setuptools import setup
setup(
# The package name along with all the other metadata is specified in setup.cfg
# However, GitHub's dependency graph can't see the package unless we put this here.
name="sgkit",
use_scm_version=True,
)
| 27.6 | 87 | 0.728261 |
42c7fd5ab2f8f92a26fe730d8bb3070bbc988e18 | 238 | py | Python | Python/5. Math/exercise2.py | mukeshmithrakumar/HackerRankSolutions | cd9e71be5e8703287b9f4efc042df8827175af1b | [
"MIT"
] | 12 | 2019-10-29T09:49:26.000Z | 2022-02-21T09:43:41.000Z | Python/5. Math/exercise2.py | ozturkosu/HackerRankSolutions | cd9e71be5e8703287b9f4efc042df8827175af1b | [
"MIT"
] | null | null | null | Python/5. Math/exercise2.py | ozturkosu/HackerRankSolutions | cd9e71be5e8703287b9f4efc042df8827175af1b | [
"MIT"
] | 10 | 2019-12-22T03:18:50.000Z | 2021-09-23T16:55:25.000Z | # Mod Divmod "https://www.hackerrank.com/challenges/python-mod-divmod/problem"
# Enter your code here. Read input from STDIN. Print output to STDOUT
a, b = (int(input()) for _ in range(2))
print(a // b)
print(a % b)
print(divmod(a, b))
| 26.444444 | 78 | 0.693277 |
42caa75d97d78a5da176444b0c283b314888e8e5 | 4,161 | py | Python | BasicReport.py | nikneural/Report | 414b08c157ef14345372fd5b84f134eb7c911fe4 | [
"MIT"
] | null | null | null | BasicReport.py | nikneural/Report | 414b08c157ef14345372fd5b84f134eb7c911fe4 | [
"MIT"
] | null | null | null | BasicReport.py | nikneural/Report | 414b08c157ef14345372fd5b84f134eb7c911fe4 | [
"MIT"
] | null | null | null | import subprocess
import docx.table
import pandas as pd
from docx import Document
from docx.enum.text import WD_PARAGRAPH_ALIGNMENT
from docx.oxml import OxmlElement
from docx.oxml import ns
from docx.oxml.ns import qn
from docx.shared import Inches, Pt
from docx.table import _Cell
from docx2pdf import convert
| 32.76378 | 77 | 0.59553 |
42cafc4dfa6b35f9ab782a932c1fbfc6c8a9e175 | 357 | py | Python | src/tests/test_import.py | williamsardar/pythonnet | a97a7768e0289e1b53ffc1ab67d89343d15bca44 | [
"MIT"
] | 1 | 2019-03-09T21:03:07.000Z | 2019-03-09T21:03:07.000Z | src/tests/test_import.py | williamsardar/pythonnet | a97a7768e0289e1b53ffc1ab67d89343d15bca44 | [
"MIT"
] | null | null | null | src/tests/test_import.py | williamsardar/pythonnet | a97a7768e0289e1b53ffc1ab67d89343d15bca44 | [
"MIT"
] | 1 | 2018-06-27T10:04:11.000Z | 2018-06-27T10:04:11.000Z | # -*- coding: utf-8 -*-
"""Test the import statement."""
import pytest
def test_relative_missing_import():
"""Test that a relative missing import doesn't crash.
Some modules use this to check if a package is installed.
Relative import in the site-packages folder"""
with pytest.raises(ImportError):
... | 25.5 | 61 | 0.703081 |
42cb33c39eef7cfef0c1bffc6049d2b0b685ecd4 | 2,879 | py | Python | src/metrics/metrics.py | koonn/bunseki | deb397e40a02bb709825c70c9be81f54449ac195 | [
"BSD-3-Clause"
] | null | null | null | src/metrics/metrics.py | koonn/bunseki | deb397e40a02bb709825c70c9be81f54449ac195 | [
"BSD-3-Clause"
] | null | null | null | src/metrics/metrics.py | koonn/bunseki | deb397e40a02bb709825c70c9be81f54449ac195 | [
"BSD-3-Clause"
] | null | null | null | """
y_truey_pred_proba
"""
import sklearn.metrics as skm
import numpy as np
def auc(y_true, y_pred_proba):
"""AUC
Args:
y_true(1-D array-like shape of [n_samples, ]): 2(01)
y_pred_proba(1-D array-like shape of [n_samples, ]): (1)
Returns:
float: (ROC)AUC
"""
return skm... | 27.951456 | 91 | 0.688086 |
42ccc44e8009b96f149e5a73b46e05451f065677 | 19,759 | py | Python | google/ads/google_ads/v2/proto/services/campaign_criterion_service_pb2.py | jiulongw/google-ads-python | 6f5256eb1eeb5a9a95c8cdb9b97988d3a676282e | [
"Apache-2.0"
] | 1 | 2019-11-30T23:42:39.000Z | 2019-11-30T23:42:39.000Z | google/ads/google_ads/v2/proto/services/campaign_criterion_service_pb2.py | jiulongw/google-ads-python | 6f5256eb1eeb5a9a95c8cdb9b97988d3a676282e | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v2/proto/services/campaign_criterion_service_pb2.py | jiulongw/google-ads-python | 6f5256eb1eeb5a9a95c8cdb9b97988d3a676282e | [
"Apache-2.0"
] | 1 | 2020-03-13T00:14:31.000Z | 2020-03-13T00:14:31.000Z | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/ads/googleads_v2/proto/services/campaign_criterion_service.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.pr... | 48.787654 | 2,321 | 0.78673 |
42cd0e4c33a465776d2f55cc4beb83f4edfc71a6 | 4,568 | py | Python | main.py | meaug/indoor_air_quality_dht22_sgp30 | a746a9955903de1f7ce5e5d84493f860c1fd0b16 | [
"MIT"
] | null | null | null | main.py | meaug/indoor_air_quality_dht22_sgp30 | a746a9955903de1f7ce5e5d84493f860c1fd0b16 | [
"MIT"
] | null | null | null | main.py | meaug/indoor_air_quality_dht22_sgp30 | a746a9955903de1f7ce5e5d84493f860c1fd0b16 | [
"MIT"
] | null | null | null | from network import WLAN
import urequests as requests # from ubidots tutorial https://help.ubidots.com/en/articles/961994-connect-any-pycom-board-to-ubidots-using-wi-fi-over-http
from machine import I2C
import adafruit_sgp30 # from https://github.com/alexmrqt/micropython-sgp30
from machine import Pin
from dht import DH... | 31.722222 | 153 | 0.668345 |
42cd2ea8378c0d8edecc4b1ef21bb286fd030c27 | 5,278 | py | Python | drivers/get_imu_data.py | ndkjing/usv | 132e021432a0344a22914aaf68da7d7955d7331f | [
"MIT"
] | null | null | null | drivers/get_imu_data.py | ndkjing/usv | 132e021432a0344a22914aaf68da7d7955d7331f | [
"MIT"
] | null | null | null | drivers/get_imu_data.py | ndkjing/usv | 132e021432a0344a22914aaf68da7d7955d7331f | [
"MIT"
] | 1 | 2021-09-04T10:27:30.000Z | 2021-09-04T10:27:30.000Z | # coding:UTF-8
import queue
import serial
import time
import threading
ACCData = [0.0] * 8
GYROData = [0.0] * 8
AngleData = [0.0] * 8
FrameState = 0 # 0x
Bytenum = 0 #
CheckSum = 0 #
a = [0.0] * 3
w = [0.0] * 3
Angle = [0.0] * 3
count=0
start_time = time.time()
interval=0.01
if __name__ == '__main__':
... | 26.656566 | 122 | 0.48939 |
42cdb0ad159342fdea9a675f50b583e29f8c7d2a | 3,082 | py | Python | test/test_utils.py | dilettacal/nmt_seq2seq_evo | 1de7647fb50445d17aa0eab8f300fdcbe6b8145e | [
"MIT"
] | null | null | null | test/test_utils.py | dilettacal/nmt_seq2seq_evo | 1de7647fb50445d17aa0eab8f300fdcbe6b8145e | [
"MIT"
] | null | null | null | test/test_utils.py | dilettacal/nmt_seq2seq_evo | 1de7647fb50445d17aa0eab8f300fdcbe6b8145e | [
"MIT"
] | null | null | null | import os
import unittest
from torchtext.data import Field, Iterator
from project.utils.utils_metrics import AverageMeter
from project.utils.utils_logging import Logger
from project.utils.datasets import Seq2SeqDataset
data_dir = os.path.join(".", "test", "test_data") | 36.690476 | 110 | 0.621999 |
42d1b2020952de616b4d4ac7d2ca23c0bbc1bae9 | 144 | py | Python | tests/test_sass-director.py | Sass-Director/Sass-Director_Sublime | 57dff551213b4884c603cb69700fa2583f646202 | [
"MIT"
] | 4 | 2015-07-08T14:25:24.000Z | 2021-01-20T22:11:09.000Z | tests/test_sass-director.py | Sass-Director/Sass-Director_Sublime | 57dff551213b4884c603cb69700fa2583f646202 | [
"MIT"
] | 4 | 2015-06-16T19:48:59.000Z | 2020-06-23T17:17:38.000Z | tests/test_sass-director.py | Sass-Director/Sass-Director_Sublime | 57dff551213b4884c603cb69700fa2583f646202 | [
"MIT"
] | 2 | 2015-01-24T17:38:48.000Z | 2017-04-18T13:23:46.000Z | # Load in test framework
from sublime_plugin_tests import framework
| 18 | 42 | 0.75 |
42d1f1c104a654530b6968dd6b6bff5cdf01c509 | 2,156 | py | Python | networks/cifar_net.py | DQle38/Fair-Feature-Distillation-for-Visual-Recognition | f0f98728f36528218bf19dce9a26d6ee1ba96e58 | [
"MIT"
] | 5 | 2021-09-07T13:33:45.000Z | 2022-02-12T18:56:45.000Z | networks/cifar_net.py | DQle38/Fair-Feature-Distillation-for-Visual-Recognition | f0f98728f36528218bf19dce9a26d6ee1ba96e58 | [
"MIT"
] | null | null | null | networks/cifar_net.py | DQle38/Fair-Feature-Distillation-for-Visual-Recognition | f0f98728f36528218bf19dce9a26d6ee1ba96e58 | [
"MIT"
] | 4 | 2021-09-25T06:56:38.000Z | 2022-03-24T18:06:08.000Z | import torch
import torch.nn as nn
import numpy as np
| 35.933333 | 101 | 0.574212 |
42d24e6e9b4725307355ace50aeaa70550864c9b | 82 | py | Python | pypi_generation_files/build/lib/cab-dynamic-pricing/__init__.py | nayantaramohan/cab-dynamic-pricing | 803cfaf9d1ef1d8d20e90dfdfd741b1411750328 | [
"MIT"
] | 5 | 2022-03-08T02:06:16.000Z | 2022-03-17T22:04:30.000Z | pypi_generation_files/build/lib/cab-dynamic-pricing/__init__.py | nayantaramohan/cab-dynamic-pricing | 803cfaf9d1ef1d8d20e90dfdfd741b1411750328 | [
"MIT"
] | null | null | null | pypi_generation_files/build/lib/cab-dynamic-pricing/__init__.py | nayantaramohan/cab-dynamic-pricing | 803cfaf9d1ef1d8d20e90dfdfd741b1411750328 | [
"MIT"
] | 1 | 2022-03-01T02:55:45.000Z | 2022-03-01T02:55:45.000Z | # __init__.py
# Version of the cab-dynamic-pricing package
__version__ = "1.0.0"
| 16.4 | 44 | 0.731707 |
42d4aca626e7056c3cd312d444ec2606808efc07 | 1,207 | py | Python | solutions/python3/problem654.py | tjyiiuan/LeetCode | abd10944c6a1f7a7f36bd9b6218c511cf6c0f53e | [
"MIT"
] | null | null | null | solutions/python3/problem654.py | tjyiiuan/LeetCode | abd10944c6a1f7a7f36bd9b6218c511cf6c0f53e | [
"MIT"
] | null | null | null | solutions/python3/problem654.py | tjyiiuan/LeetCode | abd10944c6a1f7a7f36bd9b6218c511cf6c0f53e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
654. Maximum Binary Tree
Given an integer array with no duplicates. A maximum tree building on this array is defined as follow:
The root is the maximum number in the array.
The left subtree is the maximum tree constructed from left part subarray divided by the maximum number.
The right sub... | 30.948718 | 105 | 0.666114 |
42d54535865b205f51d1935bf40792c7ce95c829 | 5,189 | py | Python | pparser.py | deadsurgeon42/StarryPy3k | 9291e5a7ca97004675a4868165ce5690c111c492 | [
"WTFPL"
] | 44 | 2015-11-18T07:45:11.000Z | 2022-03-30T06:32:18.000Z | pparser.py | deadsurgeon42/StarryPy3k | 9291e5a7ca97004675a4868165ce5690c111c492 | [
"WTFPL"
] | 110 | 2016-08-01T06:45:13.000Z | 2021-11-30T18:45:36.000Z | pparser.py | deadsurgeon42/StarryPy3k | 9291e5a7ca97004675a4868165ce5690c111c492 | [
"WTFPL"
] | 32 | 2015-01-31T09:54:38.000Z | 2022-03-31T06:12:21.000Z | import asyncio
import traceback
from configuration_manager import ConfigurationManager
from data_parser import *
parse_map = {
0: ProtocolRequest,
1: ProtocolResponse,
2: ServerDisconnect,
3: ConnectSuccess,
4: ConnectFailure,
5: HandshakeChallenge,
6: ChatReceived,
7: None,
8: Non... | 27.167539 | 79 | 0.578724 |
42d61bf690c775be557f3dd6decdfb665b54a7c4 | 4,224 | py | Python | template_capture_performance.py | Dino-s26/f5_web_gui_capture | 5dd00d6d84e9dd7c79f90446133c99190cbee1b0 | [
"MIT"
] | null | null | null | template_capture_performance.py | Dino-s26/f5_web_gui_capture | 5dd00d6d84e9dd7c79f90446133c99190cbee1b0 | [
"MIT"
] | null | null | null | template_capture_performance.py | Dino-s26/f5_web_gui_capture | 5dd00d6d84e9dd7c79f90446133c99190cbee1b0 | [
"MIT"
] | null | null | null | # Import Selenium Module
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
# Import Path
from pathlib import Path
# Import Base Module for Code
import os
import datetime
#... | 39.111111 | 149 | 0.766335 |
42d72c0c58e56c65e8f873c5b25c452eaaf9e7cc | 3,032 | py | Python | deploy/testData.py | yaoguxiao/insightface | 731f9ec7503cda3a5f3433525aa57709a78b2118 | [
"MIT"
] | null | null | null | deploy/testData.py | yaoguxiao/insightface | 731f9ec7503cda3a5f3433525aa57709a78b2118 | [
"MIT"
] | null | null | null | deploy/testData.py | yaoguxiao/insightface | 731f9ec7503cda3a5f3433525aa57709a78b2118 | [
"MIT"
] | null | null | null | import sys
import os
import mxnet as mx
import argparse
sys.path.append(os.path.join(os.getcwd(), "../src/common"))
sys.path.append(os.path.join(os.getcwd(), "../src/eval"))
import verification
# class faceMode:
# def __init__(self, args):
# self.arts = args
# modelid = args.model.split(',')
# ... | 41.534247 | 125 | 0.632256 |
42dc77f7900d79cb250ea17552132e0f738917bd | 4,482 | py | Python | test/test_plugin_spontit.py | NiNiyas/apprise | 8d96e95acd7cb89f082685ae161bd0e268203f0c | [
"MIT"
] | 1 | 2022-01-19T01:40:04.000Z | 2022-01-19T01:40:04.000Z | test/test_plugin_spontit.py | NiNiyas/apprise | 8d96e95acd7cb89f082685ae161bd0e268203f0c | [
"MIT"
] | null | null | null | test/test_plugin_spontit.py | NiNiyas/apprise | 8d96e95acd7cb89f082685ae161bd0e268203f0c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2021 Chris Caron <lead2gold@gmail.com>
# All rights reserved.
#
# This code is licensed under the MIT License.
#
# 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 th... | 37.663866 | 79 | 0.629407 |
42dc9cb1aa466dc4d81d1303416d9c0741104c68 | 2,751 | py | Python | img_striper.py | tacensi/image_striper | d361c5c4b7e9b8588b50d8f992b90d14fd64d4f0 | [
"MIT"
] | null | null | null | img_striper.py | tacensi/image_striper | d361c5c4b7e9b8588b50d8f992b90d14fd64d4f0 | [
"MIT"
] | null | null | null | img_striper.py | tacensi/image_striper | d361c5c4b7e9b8588b50d8f992b90d14fd64d4f0 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
import argparse
import textwrap
import math
from PIL import Image
parser = argparse.ArgumentParser(
prog='img_striper.py',
formatter_class=argparse.RawDescriptionHelpFormatter,
description=textwrap.dedent('''\
Image striper
This is a simple program to make stripes ... | 25.472222 | 67 | 0.607779 |
42dcb97d77131e74ecfe71c62c27b3b22cca853a | 7,590 | py | Python | ds/web/views.py | brainmorsel/python-dhcp-sprout | c8da1b19558e404fdfef24304e1996c696fc13b1 | [
"MIT"
] | null | null | null | ds/web/views.py | brainmorsel/python-dhcp-sprout | c8da1b19558e404fdfef24304e1996c696fc13b1 | [
"MIT"
] | 1 | 2019-05-03T07:54:57.000Z | 2019-05-03T07:54:57.000Z | ds/web/views.py | brainmorsel/python-dhcp-sprout | c8da1b19558e404fdfef24304e1996c696fc13b1 | [
"MIT"
] | null | null | null | import datetime
from aiohttp import web
from aiohttp_jinja2 import template
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql as pg
import psycopg2
from ds import db
from . import forms
def _cast_str_to_inet_arr(ip_list_str):
return sa.cast(map(str, forms.str_to_ip_list(ip_list_str)), pg.ARRA... | 35.633803 | 113 | 0.548221 |
42dd96f3e39ccca7beaece3559fe4cb2d0d639e4 | 488 | py | Python | django_fastapi/api/migrations/0008_test1.py | ehddn5252/FastAPI_Django | a179aedb62c28d1700578882e681002a61576060 | [
"MIT"
] | null | null | null | django_fastapi/api/migrations/0008_test1.py | ehddn5252/FastAPI_Django | a179aedb62c28d1700578882e681002a61576060 | [
"MIT"
] | null | null | null | django_fastapi/api/migrations/0008_test1.py | ehddn5252/FastAPI_Django | a179aedb62c28d1700578882e681002a61576060 | [
"MIT"
] | 1 | 2021-11-26T08:22:57.000Z | 2021-11-26T08:22:57.000Z | # Generated by Django 3.2.9 on 2021-11-19 15:57
from django.db import migrations, models
| 23.238095 | 94 | 0.567623 |
42ddb2012f057cfc1204b7ac846fc3824c272f11 | 47,110 | py | Python | tb_paddle/proto/api_pb2.py | GT-AcerZhang/tb-paddle | a129520339f4d4e7a9bed05feb733f2565673960 | [
"MIT"
] | null | null | null | tb_paddle/proto/api_pb2.py | GT-AcerZhang/tb-paddle | a129520339f4d4e7a9bed05feb733f2565673960 | [
"MIT"
] | null | null | null | tb_paddle/proto/api_pb2.py | GT-AcerZhang/tb-paddle | a129520339f4d4e7a9bed05feb733f2565673960 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tb_paddle/proto/api.proto
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _... | 41.912811 | 4,591 | 0.751221 |
42e0044ddc8db8684b032fa92b309e589628c115 | 6,123 | py | Python | etsyapi/__init__.py | DempDemp/etsyapi | 995250d2f76dcac7edf3b2404bfbce1df732765e | [
"BSD-3-Clause"
] | 1 | 2021-02-19T01:45:49.000Z | 2021-02-19T01:45:49.000Z | etsyapi/__init__.py | DempDemp/etsyapi | 995250d2f76dcac7edf3b2404bfbce1df732765e | [
"BSD-3-Clause"
] | null | null | null | etsyapi/__init__.py | DempDemp/etsyapi | 995250d2f76dcac7edf3b2404bfbce1df732765e | [
"BSD-3-Clause"
] | 2 | 2016-04-10T21:28:05.000Z | 2019-09-20T19:51:37.000Z | import six
import json
import logging
import requests
from requests_oauthlib import OAuth1
if six.PY3:
from urllib.parse import parse_qs
from urllib.parse import urlencode
else:
from urlparse import parse_qs
from urllib import urlencode
log = logging.getLogger(__name__)
| 36.230769 | 112 | 0.594806 |
42e109eb76a25424069247c9b529582b0044ded2 | 2,996 | py | Python | SatTrack/tle.py | ed-ortizm/satellite-tracking | 9eb2b4a7f31b43035a425d8e2e51044f2e80712d | [
"MIT"
] | 2 | 2021-10-05T10:04:56.000Z | 2021-10-13T18:31:35.000Z | SatTrack/tle.py | ed-ortizm/satellite-tracking | 9eb2b4a7f31b43035a425d8e2e51044f2e80712d | [
"MIT"
] | 14 | 2021-09-01T12:30:59.000Z | 2022-02-14T18:53:44.000Z | SatTrack/tle.py | ed-ortizm/satellite-tracking | 9eb2b4a7f31b43035a425d8e2e51044f2e80712d | [
"MIT"
] | null | null | null | import datetime
import os
import re
import sys
import urllib
from SatTrack.superclasses import FileDirectory
###############################################################################
# CONSTANTS
TLE_URL = f"https://celestrak.com/NORAD/elements/supplemental"
######################################################... | 32.215054 | 79 | 0.496996 |
42e13e620ce8965d49cd0e6e2ae37165c0735674 | 21,970 | py | Python | vinfo/dataset.py | john-hewitt/conditional-probing | bebc90aa0c910395e2370910409076a945279fe0 | [
"Apache-2.0"
] | 13 | 2021-09-21T11:07:33.000Z | 2022-03-25T08:46:46.000Z | vinfo/dataset.py | john-hewitt/conditional-probing | bebc90aa0c910395e2370910409076a945279fe0 | [
"Apache-2.0"
] | 2 | 2021-09-25T15:45:19.000Z | 2021-12-10T15:57:35.000Z | vinfo/dataset.py | john-hewitt/conditional-probing | bebc90aa0c910395e2370910409076a945279fe0 | [
"Apache-2.0"
] | 2 | 2021-09-27T01:21:49.000Z | 2021-09-28T06:08:19.000Z | import os
import h5py
import torch
import torch.nn as nn
from torch.utils.data import Dataset, IterableDataset, DataLoader
import Levenshtein as levenshtein
from tqdm import tqdm
from yaml import YAMLObject
from transformers import AutoTokenizer, AutoModel
from allennlp.modules.elmo import batch_to_ids
from utils im... | 40.238095 | 188 | 0.697679 |
42e5f4e73286a21248ce1ddfed9d74e5f150cd54 | 7,012 | py | Python | accelbyte_py_sdk/api/basic/models/a_dto_object_for_equ8_user_status.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | null | null | null | accelbyte_py_sdk/api/basic/models/a_dto_object_for_equ8_user_status.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | 1 | 2021-10-13T03:46:58.000Z | 2021-10-13T03:46:58.000Z | accelbyte_py_sdk/api/basic/models/a_dto_object_for_equ8_user_status.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | null | null | null | # Copyright (c) 2021 AccelByte Inc. All Rights Reserved.
# This is licensed software from AccelByte Inc, for limitations
# and restrictions contact your company contract manager.
#
# Code generated. DO NOT EDIT!
# template file: justice_py_sdk_codegen/__main__.py
# justice-basic-service (1.36.3)
# pylint: disable=d... | 35.06 | 202 | 0.592698 |
42e6a0854dc4ea36c5a33692e83aa3d38c0f49cc | 2,505 | py | Python | function/python/brightics/function/statistics/test/correlation_test.py | parkjh80/studio | 6d8d8384272e5e1b2838b12e5557272a19408e89 | [
"Apache-2.0"
] | 202 | 2018-10-23T04:37:35.000Z | 2022-01-27T05:51:10.000Z | function/python/brightics/function/statistics/test/correlation_test.py | data-weirdo/studio | 48852c4f097f773ce3d408b59f79fda2e2d60470 | [
"Apache-2.0"
] | 444 | 2018-11-07T08:41:14.000Z | 2022-03-16T06:48:57.000Z | function/python/brightics/function/statistics/test/correlation_test.py | data-weirdo/studio | 48852c4f097f773ce3d408b59f79fda2e2d60470 | [
"Apache-2.0"
] | 99 | 2018-11-08T04:12:13.000Z | 2022-03-30T05:36:27.000Z | """
Copyright 2019 Samsung SDS
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 ... | 41.065574 | 155 | 0.683433 |