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3b069538dfe981f0fa7968f67f5bda04646284dd | 152,330 | py | Python | google/ads/google_ads/v4/types.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | 1 | 2021-04-09T04:28:47.000Z | 2021-04-09T04:28:47.000Z | google/ads/google_ads/v4/types.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v4/types.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 82.698154 | 167 | 0.808029 | 0 | 0 | 189 | 0.001241 | 0 | 0 | 0 | 0 | 137,814 | 0.904707 |
3b08aa7fb58998cc3b6424f138688be5f547dfe9 | 15,841 | py | Python | minecraftcogs/chatrelay.py | jinkhya/Charfred_Cogs | d6afc4c02e668c046ba40e9a7afae68004658f6d | [
"MIT"
] | null | null | null | minecraftcogs/chatrelay.py | jinkhya/Charfred_Cogs | d6afc4c02e668c046ba40e9a7afae68004658f6d | [
"MIT"
] | null | null | null | minecraftcogs/chatrelay.py | jinkhya/Charfred_Cogs | d6afc4c02e668c046ba40e9a7afae68004658f6d | [
"MIT"
] | null | null | null | import logging
import asyncio
from concurrent.futures import CancelledError
from discord.ext import commands
from utils import Config, permission_node
log = logging.getLogger('charfred')
formats = {
'MSG': '[**{}**] {}: {}',
'STF': '**{}**: {}',
'DTH': '[**{}**] {} {}',
'ME': '[**{}**] {}: {}',
'S... | 40.307888 | 99 | 0.540496 | 15,195 | 0.95922 | 0 | 0 | 8,010 | 0.50565 | 13,482 | 0.851083 | 5,065 | 0.31974 |
3b0aff3db58f48e9ba786715261c204ed5990700 | 7,504 | py | Python | Code/SubwayMap.py | VGarK/Mapz | e09654b261ae25fbc73c677432aff5e26f43e42f | [
"MIT"
] | null | null | null | Code/SubwayMap.py | VGarK/Mapz | e09654b261ae25fbc73c677432aff5e26f43e42f | [
"MIT"
] | null | null | null | Code/SubwayMap.py | VGarK/Mapz | e09654b261ae25fbc73c677432aff5e26f43e42f | [
"MIT"
] | null | null | null | # This file has all the functions required to load the information of a city.
# - Definition of the class Station
# - Definition of the class CityInfo
# - Read functions from files
# - Structure of the information
#
__authors__='TO_BE_FILLED'
__group__='DL01'
# __________________________________________________________... | 41.458564 | 136 | 0.597415 | 2,198 | 0.29291 | 0 | 0 | 0 | 0 | 0 | 0 | 2,776 | 0.369936 |
3b0ce22e9f3f3849e6cb4645ba1ee7779174285d | 5,290 | py | Python | deprecated/converters/gw100_converter.py | materials-data-facility/connect | 9ec5b61750bf6fa579bf3ec122f31880d3c049b8 | [
"Apache-2.0"
] | 1 | 2019-09-13T18:35:56.000Z | 2019-09-13T18:35:56.000Z | deprecated/converters/gw100_converter.py | materials-data-facility/connect_server | 9ec5b61750bf6fa579bf3ec122f31880d3c049b8 | [
"Apache-2.0"
] | 15 | 2018-11-01T18:08:11.000Z | 2021-12-06T17:55:03.000Z | deprecated/converters/gw100_converter.py | materials-data-facility/connect | 9ec5b61750bf6fa579bf3ec122f31880d3c049b8 | [
"Apache-2.0"
] | 1 | 2020-11-30T17:02:41.000Z | 2020-11-30T17:02:41.000Z | import json
import sys
import os
from tqdm import tqdm
from mdf_refinery.validator import Validator
from mdf_refinery.parsers.tab_parser import parse_tab
# VERSION 0.3.0
# This is the converter for the GW100 dataset.
# Arguments:
# input_path (string): The file or directory where the data resides.
# NOTE: D... | 31.488095 | 548 | 0.520038 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,169 | 0.598942 |
3b0e593188304a562ee695aad90eb0041fcdd4ae | 112 | py | Python | utils/__init__.py | valschneider/lauzhack2017 | 36fe0bb043165fa788a28863298332d70a95a57a | [
"MIT"
] | null | null | null | utils/__init__.py | valschneider/lauzhack2017 | 36fe0bb043165fa788a28863298332d70a95a57a | [
"MIT"
] | null | null | null | utils/__init__.py | valschneider/lauzhack2017 | 36fe0bb043165fa788a28863298332d70a95a57a | [
"MIT"
] | null | null | null | from abstract_keyboard import KeyData, AbstractKeyboard, Colours
from physical_keyboard import PhysicalKeyboard
| 37.333333 | 64 | 0.892857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3b1083dfb47666192fcefb6373fe2fcf7bc0a2fb | 9,098 | py | Python | backend/backend.py | Mishelles/vk-spotify-playlist-transfer | 4c15a9e35b1ff9aa81c7d36c53ef69b54d5a6914 | [
"MIT"
] | 1 | 2021-04-16T21:48:21.000Z | 2021-04-16T21:48:21.000Z | backend/backend.py | Mishelles/vk-spotify-playlist-transfer | 4c15a9e35b1ff9aa81c7d36c53ef69b54d5a6914 | [
"MIT"
] | 8 | 2021-04-05T17:16:10.000Z | 2021-10-12T13:31:19.000Z | backend/backend.py | Mishelles/vk-spotify-playlist-transfer | 4c15a9e35b1ff9aa81c7d36c53ef69b54d5a6914 | [
"MIT"
] | null | null | null | import os
import uuid
import json
import yaml
import re
from nltk.tokenize import RegexpTokenizer
import requests
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from get_root_access_token_for_sp import get_token
from pydantic import BaseModel
from vkaudiotoken import (... | 30.530201 | 125 | 0.62783 | 163 | 0.017916 | 0 | 0 | 3,494 | 0.38404 | 0 | 0 | 2,105 | 0.23137 |
3b121f96edfab2bb880eeea95628f1c1be9789b4 | 8,616 | py | Python | src/Noncircular/Calculations/_Appendix13_7_c.py | thepvguy/calctoys | f7ef4e422d8a27cc387c1a24b5fb6e318d774f57 | [
"Unlicense"
] | 7 | 2018-07-17T08:01:34.000Z | 2021-06-14T03:33:58.000Z | src/Noncircular/Calculations/_Appendix13_7_c.py | thepvguy/calctoys | f7ef4e422d8a27cc387c1a24b5fb6e318d774f57 | [
"Unlicense"
] | null | null | null | src/Noncircular/Calculations/_Appendix13_7_c.py | thepvguy/calctoys | f7ef4e422d8a27cc387c1a24b5fb6e318d774f57 | [
"Unlicense"
] | 6 | 2018-10-01T10:29:58.000Z | 2022-01-24T22:34:16.000Z | import math
# TODO: Implement acceptibility tests
class Appendix13_7_cParams:
def __init__(
self,
internal_pressure,
corner_radius,
short_side_half_length,
long_side_half_length,
thickness,
eval_at_outer_walls = False):
... | 32.636364 | 163 | 0.558264 | 5,676 | 0.658774 | 0 | 0 | 0 | 0 | 0 | 0 | 2,928 | 0.339833 |
3b1344dd323e948e9f6017df3b1661af235dfa13 | 1,619 | py | Python | tests/api_resources/test_file_link.py | bhch/async-stripe | 75d934a8bb242f664e7be30812c12335cf885287 | [
"MIT",
"BSD-3-Clause"
] | 8 | 2021-05-29T08:57:58.000Z | 2022-02-19T07:09:25.000Z | tests/api_resources/test_file_link.py | bhch/async-stripe | 75d934a8bb242f664e7be30812c12335cf885287 | [
"MIT",
"BSD-3-Clause"
] | 5 | 2021-05-31T10:18:36.000Z | 2022-01-25T11:39:03.000Z | tests/api_resources/test_file_link.py | bhch/async-stripe | 75d934a8bb242f664e7be30812c12335cf885287 | [
"MIT",
"BSD-3-Clause"
] | 1 | 2021-05-29T13:27:10.000Z | 2021-05-29T13:27:10.000Z | from __future__ import absolute_import, division, print_function
import stripe
import pytest
pytestmark = pytest.mark.asyncio
TEST_RESOURCE_ID = "link_123"
class TestFileLink(object):
async def test_is_listable(self, request_mock):
resources = await stripe.FileLink.list()
request_mock.assert... | 33.040816 | 67 | 0.683138 | 1,454 | 0.898085 | 0 | 0 | 0 | 0 | 1,398 | 0.863496 | 161 | 0.099444 |
3b15a52f6be4dc16088c1fb00a71fbd34c59ea53 | 762 | py | Python | L1Trigger/GlobalTriggerAnalyzer/python/l1GtBeamModeFilter_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | L1Trigger/GlobalTriggerAnalyzer/python/l1GtBeamModeFilter_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | L1Trigger/GlobalTriggerAnalyzer/python/l1GtBeamModeFilter_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
l1GtBeamModeFilter = cms.EDFilter("L1GtBeamModeFilter",
# input tag for input tag for ConditionInEdm products
CondInEdmInputTag = cms.InputTag("conditionsInEdm"),
# input tag for the L1 GT EVM product
L1GtEvmReadoutRecordTag = cms.InputTag("gtEvmDigis"),
... | 34.636364 | 71 | 0.675853 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 463 | 0.607612 |
3b165d213b6fd767dcbf91f3605c40167feda0ae | 421 | py | Python | Livermore/PythonNumpy/kernel_01_hydro.py | quepas/polyglot-scientific-kernels | 11012732c923957c5ed54715a32badb12a5527ab | [
"MIT"
] | null | null | null | Livermore/PythonNumpy/kernel_01_hydro.py | quepas/polyglot-scientific-kernels | 11012732c923957c5ed54715a32badb12a5527ab | [
"MIT"
] | null | null | null | Livermore/PythonNumpy/kernel_01_hydro.py | quepas/polyglot-scientific-kernels | 11012732c923957c5ed54715a32badb12a5527ab | [
"MIT"
] | null | null | null | def kernel_01_hydro(LEN_1D):
#! init
import numpy as np
r = np.random.randn(1)
t = np.random.randn(1)
q = np.random.randn(1)
x = np.zeros(LEN_1D)
y = np.random.randn(LEN_1D)
zx = np.random.randn(LEN_1D + 11)
#! loop
for k in range(LEN_1D):
x[k] = q + y[k] * (r * zx[k+10... | 23.388889 | 65 | 0.522565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0.059382 |
3b168867b6c2192e22d3fb03d5618d1c3ca2e893 | 3,177 | py | Python | python/Day11/seating.py | joelbygger/adventofcode20 | 35f9f4fa9bf051f420a22400c896bc7d26dc44d7 | [
"MIT"
] | null | null | null | python/Day11/seating.py | joelbygger/adventofcode20 | 35f9f4fa9bf051f420a22400c896bc7d26dc44d7 | [
"MIT"
] | null | null | null | python/Day11/seating.py | joelbygger/adventofcode20 | 35f9f4fa9bf051f420a22400c896bc7d26dc44d7 | [
"MIT"
] | null | null | null | import copy
def _direction():
# If array index start at 0, 0 and we say that is top left, (x, y)
yield -1, -1 # UL
yield -1, 0 # L
yield -1, 1 # UR
yield 0, -1 # U
yield 0, 1 # D
yield 1, -1 # DL
yield 1, 0 # R
yield 1, 1 # DR
# def _in_matrix(pos, seats):
# return 0 <... | 28.621622 | 103 | 0.537299 | 2,800 | 0.881335 | 258 | 0.081209 | 188 | 0.059175 | 0 | 0 | 233 | 0.07334 |
3b1770ba8b608be4e3ab9c20fe2c9cb9f117e749 | 1,408 | py | Python | main.py | LucioC/sortable | 4301188933eeec96b7da3f906d80fc35ad154032 | [
"Apache-2.0"
] | null | null | null | main.py | LucioC/sortable | 4301188933eeec96b7da3f906d80fc35ad154032 | [
"Apache-2.0"
] | null | null | null | main.py | LucioC/sortable | 4301188933eeec96b7da3f906d80fc35ad154032 | [
"Apache-2.0"
] | null | null | null | import os
import json
from challenge import FileReader, Product, Listing, MatchSearch
import challenge
reader = FileReader()
search = MatchSearch()
products = reader.read_products('products.txt');
listings = reader.read_listings('listings.txt');
listings = listings[0:1000]
result = search.match_listings(listings, pro... | 22.709677 | 78 | 0.734375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 235 | 0.166903 |
3b17829d2a52135864702c72229a5562364d0705 | 130 | py | Python | src/cascade/input_data/configuration/sex.py | adolgert/cascade | 2084e07c9ee5e901dd407b817220de882c7246a3 | [
"MIT"
] | null | null | null | src/cascade/input_data/configuration/sex.py | adolgert/cascade | 2084e07c9ee5e901dd407b817220de882c7246a3 | [
"MIT"
] | null | null | null | src/cascade/input_data/configuration/sex.py | adolgert/cascade | 2084e07c9ee5e901dd407b817220de882c7246a3 | [
"MIT"
] | null | null | null | SEX_ID_TO_NAME = {
1: "male",
2: "female",
3: "both",
}
SEX_NAME_TO_ID = {v: k for (k, v) in SEX_ID_TO_NAME.items()}
| 16.25 | 60 | 0.561538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0.153846 |
3b1818292a74a7d0a408bdab02e5f3c26aa5c07c | 1,431 | py | Python | squidward/tools/download_logs_sftp.py | wirrja/squidward | 72945f6898f567e577aa74680b2a518b8e9a2b59 | [
"Apache-2.0"
] | null | null | null | squidward/tools/download_logs_sftp.py | wirrja/squidward | 72945f6898f567e577aa74680b2a518b8e9a2b59 | [
"Apache-2.0"
] | null | null | null | squidward/tools/download_logs_sftp.py | wirrja/squidward | 72945f6898f567e577aa74680b2a518b8e9a2b59 | [
"Apache-2.0"
] | null | null | null | import paramiko
from django.conf import settings
remotepath = settings.SQUID_LOGDIR_REMOTE
remotepath_messages = settings.PPTP_LOGDIR_REMOTE
username = settings.SQUID_USERNAME
password = settings.SQUID_PASSWORD
# local path for both log types and programs
localpath = settings.SQUID_LOGDIR
log_filename = s... | 28.62 | 91 | 0.639413 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 172 | 0.120196 |
3b19ff6520a92cbe9bced32400b4df1a8b799dfb | 1,057 | py | Python | Executables/PythonScriptTakingArguments.py | SimioLLC/RunExecutableStep | 377fde62b3ce022a54c7f60d8d1fe70880ce610c | [
"MIT"
] | 2 | 2021-12-12T14:30:51.000Z | 2022-02-08T07:31:50.000Z | Executables/PythonScriptTakingArguments.py | SimioLLC/RunExecutableStep | 377fde62b3ce022a54c7f60d8d1fe70880ce610c | [
"MIT"
] | 2 | 2021-05-20T17:17:11.000Z | 2022-02-09T06:58:22.000Z | Executables/PythonScriptTakingArguments.py | SimioLLC/RunExecutableStep | 377fde62b3ce022a54c7f60d8d1fe70880ce610c | [
"MIT"
] | null | null | null | import sys
import datetime
# Sample program to be initiated by the Simio Step RunExecutable with "Python" ArgumentLogic.
# This runs python scripts with argument convention of: 1st arg is the script name, followed
# by arguments. All args are surrounded with a double-quote.
# The script append-prints the arguments it ... | 30.2 | 93 | 0.639546 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 523 | 0.494797 |
3b1a2bad79b0569b3ffa94c11cc30ebadfab7c45 | 139 | py | Python | python/dragonradio/dragonradio/net/__init__.py | drexelwireless/dragonradio | 885abd68d56af709e7a53737352641908005c45b | [
"MIT"
] | 8 | 2020-12-05T20:30:54.000Z | 2022-01-22T13:32:14.000Z | python/dragonradio/dragonradio/net/__init__.py | drexelwireless/dragonradio | 885abd68d56af709e7a53737352641908005c45b | [
"MIT"
] | 3 | 2020-10-28T22:15:27.000Z | 2021-01-27T14:43:41.000Z | python/dragonradio/dragonradio/net/__init__.py | drexelwireless/dragonradio | 885abd68d56af709e7a53737352641908005c45b | [
"MIT"
] | null | null | null | # Copyright 2021 Drexel University
# Author: Geoffrey Mainland <mainland@drexel.edu>
try:
from _dragonradio.net import *
except:
pass
| 17.375 | 49 | 0.76259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 0.597122 |
3b1ca3b503a037398aebee47693ea3fd4611ebf6 | 8,712 | py | Python | app/handlers/gear_handlers.py | lik33v3n/Tower-of-God | 1e6c86939f053739f9e73d56fd1c04d7fb444e8b | [
"MIT"
] | 3 | 2020-06-28T18:04:12.000Z | 2022-02-15T19:46:47.000Z | app/handlers/gear_handlers.py | lik33v3n/Tower-of-God | 1e6c86939f053739f9e73d56fd1c04d7fb444e8b | [
"MIT"
] | null | null | null | app/handlers/gear_handlers.py | lik33v3n/Tower-of-God | 1e6c86939f053739f9e73d56fd1c04d7fb444e8b | [
"MIT"
] | null | null | null | import logging
from contextlib import suppress
from math import fabs
from aiogram.dispatcher import FSMContext
from aiogram.types import CallbackQuery, Message, ReplyKeyboardRemove
from aiogram.utils.exceptions import (MessageToDeleteNotFound,
MessageToEditNotFound)
from app.__ma... | 44.676923 | 184 | 0.609734 | 0 | 0 | 0 | 0 | 0 | 0 | 8,880 | 0.928967 | 2,338 | 0.244586 |
3b1ce50f7d1f70a241cbdefb23a5cd91698686da | 206 | py | Python | Mundo1/ex021-import.playsound.py | YuriBraga/Python_Course | 1f72ec02e9fa911ddbf28830542374a419d15a6c | [
"MIT"
] | null | null | null | Mundo1/ex021-import.playsound.py | YuriBraga/Python_Course | 1f72ec02e9fa911ddbf28830542374a419d15a6c | [
"MIT"
] | null | null | null | Mundo1/ex021-import.playsound.py | YuriBraga/Python_Course | 1f72ec02e9fa911ddbf28830542374a419d15a6c | [
"MIT"
] | null | null | null | '''from pygame import mixer
mixer.init()
mixer.music.load('ex021.mp3')
mixer.music.play()
input('Agora dá para escutar')'''
# Pode ser feito assim também:
import playsound
playsound.playsound('ex021.mp3')
| 20.6 | 33 | 0.742718 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 166 | 0.798077 |
3b1d65a917c8c063a1bd09d9e9f6843cb500fb33 | 701 | py | Python | app/project/config.py | caulagi/shakuni | f027810bc72b55da302d6672cd64fdf7c92f1661 | [
"MIT"
] | null | null | null | app/project/config.py | caulagi/shakuni | f027810bc72b55da302d6672cd64fdf7c92f1661 | [
"MIT"
] | null | null | null | app/project/config.py | caulagi/shakuni | f027810bc72b55da302d6672cd64fdf7c92f1661 | [
"MIT"
] | null | null | null | """
project.conf
Configuration module holding all the options
"""
DEBUG = True
import os
BASE_DIR = os.path.abspath(os.path.dirname(__file__))
MONGO_DBNAME = os.environ.get("MONGOHQ_URL") or "mongodb://localhost:27017/shakuni"
THREADS_PER_PAGE = 2
CSRF_ENABLED = True
CSRF_SESSION_KEY = "secret"
SECRET_KEY = "sec... | 21.90625 | 97 | 0.723252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 326 | 0.46505 |
3b1d776e41dc299f7cabc58c3c4496054743240c | 310 | py | Python | __init__.py | jamespacileo/packaginator | d4b51ae16e0658fade91e1a6c4ce987ee747b053 | [
"MIT"
] | 14 | 2015-10-03T07:34:28.000Z | 2021-09-20T07:10:29.000Z | __init__.py | pythonchelle/opencomparison | b39d279e25527520c66335e51455d1f9ba749c9b | [
"MIT"
] | 23 | 2019-10-25T08:47:23.000Z | 2022-01-30T02:00:45.000Z | __init__.py | pythonchelle/opencomparison | b39d279e25527520c66335e51455d1f9ba749c9b | [
"MIT"
] | 7 | 2016-10-04T08:10:36.000Z | 2021-09-20T07:10:33.000Z | # -*- coding: utf-8 -*-
__about__ = """
This project comes with the bare minimum set of applications and templates
to get you started. It includes no extra tabs, only the profile and notices
tabs are included by default. From here you can add any extra functionality
and applications that you would like.
"""
| 34.444444 | 75 | 0.758065 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 0.951613 |
3b1def38d43dac35f2085935c4181e7f579d703d | 209 | py | Python | src/ikazuchi/core/handler/__init__.py | t2y/ikazuchi | 7023111e92fa47360c50cfefd1398c554475f2c6 | [
"Apache-2.0"
] | null | null | null | src/ikazuchi/core/handler/__init__.py | t2y/ikazuchi | 7023111e92fa47360c50cfefd1398c554475f2c6 | [
"Apache-2.0"
] | null | null | null | src/ikazuchi/core/handler/__init__.py | t2y/ikazuchi | 7023111e92fa47360c50cfefd1398c554475f2c6 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from base import BaseHandler, LanguageHandler, NullHandler
from text import SingleSentenceHandler
__all__ = [
"LanguageHandler",
"NullHandler",
"SingleSentenceHandler",
]
| 19 | 58 | 0.717703 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 76 | 0.363636 |
3b1e0e175fb077fad4c9db8318a631de85c5f035 | 2,934 | py | Python | Script/train_w2v.py | zrfan/Tencent-Ads-Algo-Comp-2020 | 8b52df4b86b95de581549e61d15a1403f636d530 | [
"MIT"
] | null | null | null | Script/train_w2v.py | zrfan/Tencent-Ads-Algo-Comp-2020 | 8b52df4b86b95de581549e61d15a1403f636d530 | [
"MIT"
] | null | null | null | Script/train_w2v.py | zrfan/Tencent-Ads-Algo-Comp-2020 | 8b52df4b86b95de581549e61d15a1403f636d530 | [
"MIT"
] | 2 | 2020-06-18T05:05:55.000Z | 2020-12-21T06:30:08.000Z | import os
import sys
import numpy as np
import pandas as pd
import logging
import gc
import tqdm
import pickle
import json
import time
import tempfile
from gensim.models import Word2Vec
cwd = os.getcwd()
embed_path = os.path.join(cwd, 'embed_artifact')
# Training corpus for w2v model
corpus_dic = {
'creative': os.p... | 31.212766 | 130 | 0.719496 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 803 | 0.273688 |
3b1f18f1cb1193facb4ab6b88b9e77bb24dc04a6 | 8,632 | py | Python | src/utils.py | huyhoang17/DB_text_minimal | 0d1466889b21cb74a0571a0fb3856902739ea523 | [
"MIT"
] | 30 | 2020-07-20T12:13:27.000Z | 2022-03-08T06:30:31.000Z | src/utils.py | huyhoang17/DB_text_minimal | 0d1466889b21cb74a0571a0fb3856902739ea523 | [
"MIT"
] | 10 | 2020-08-11T10:21:11.000Z | 2022-03-07T15:27:49.000Z | src/utils.py | huyhoang17/DB_text_minimal | 0d1466889b21cb74a0571a0fb3856902739ea523 | [
"MIT"
] | 6 | 2020-09-02T10:58:00.000Z | 2021-08-13T01:43:47.000Z | import os
import gc
import glob
import time
import random
import imageio
import logging
from functools import wraps
import cv2
import numpy as np
import matplotlib.pyplot as plt
import torch
import torchvision.utils as torch_utils
from postprocess import SegDetectorRepresenter
# device = torch.device("cuda" if torch... | 30.394366 | 79 | 0.597544 | 0 | 0 | 0 | 0 | 235 | 0.027224 | 0 | 0 | 900 | 0.104263 |
3b1f289d94d22713713a02c29b3bffd65bfda6e1 | 45,021 | py | Python | example/demos/views.py | bashu/django-uncharted | b285b4dfc8310cb62e7535fb39326916e2c81159 | [
"MIT"
] | 9 | 2015-06-07T06:50:42.000Z | 2020-09-04T05:57:20.000Z | example/demos/views.py | bashu/django-uncharted | b285b4dfc8310cb62e7535fb39326916e2c81159 | [
"MIT"
] | 1 | 2015-09-24T08:17:25.000Z | 2019-03-31T03:51:00.000Z | example/demos/views.py | bashu/django-uncharted | b285b4dfc8310cb62e7535fb39326916e2c81159 | [
"MIT"
] | 2 | 2018-11-13T22:56:05.000Z | 2020-11-18T07:18:49.000Z | # -*- coding: utf-8 -*-
from random import random
from datetime import timedelta
from django.conf import settings
from django.utils import timezone
from django.views.generic import TemplateView
from uncharted.chart import *
class Area100PercentStacked(TemplateView):
template_name = 'area/chart.html'
chart... | 26.420775 | 103 | 0.49046 | 43,912 | 0.975367 | 0 | 0 | 367 | 0.008152 | 0 | 0 | 10,109 | 0.22454 |
3b1feff132bdd5118a48fe91a841752101d30350 | 2,930 | py | Python | bot.py | ktrieu/idea-bot | ad02dc21d320b73027e09d4d123df8e6ee139f7c | [
"MIT"
] | null | null | null | bot.py | ktrieu/idea-bot | ad02dc21d320b73027e09d4d123df8e6ee139f7c | [
"MIT"
] | null | null | null | bot.py | ktrieu/idea-bot | ad02dc21d320b73027e09d4d123df8e6ee139f7c | [
"MIT"
] | null | null | null | from dotenv import load_dotenv
import os
import discord
from generator import (
GeneratorProcess,
GenerateRequest,
StopRequest,
ResponseType,
)
from multiprocessing import Pipe
import util
import asyncio
load_dotenv()
ALLOWED_CHANNELS = {"secret-channel-name", "beyond-ideas"}
TEST_SERVER_ID = 74822840... | 29.897959 | 92 | 0.617747 | 2,204 | 0.752218 | 0 | 0 | 0 | 0 | 1,513 | 0.516382 | 409 | 0.13959 |
3b21bc3e72739e8aa2087fd962b62ceaa0418fc1 | 7,090 | py | Python | jerml/transformers.py | jmann277/jers_ml_tools | faaaa202b1f5406ff47821474bd8eb14bce22f77 | [
"MIT"
] | null | null | null | jerml/transformers.py | jmann277/jers_ml_tools | faaaa202b1f5406ff47821474bd8eb14bce22f77 | [
"MIT"
] | 3 | 2021-06-08T22:12:54.000Z | 2022-01-13T03:09:06.000Z | jerml/transformers.py | jmann277/jers_ml_tools | faaaa202b1f5406ff47821474bd8eb14bce22f77 | [
"MIT"
] | null | null | null | '''
This module contains a medley of sklearn transformers which can be integrated
into a pipeline.
'''
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.decomposition import PCA
from scipy.stats import kstat
from homcv import betti_numbers
class CumulantsExtractor(BaseEstimator... | 30.560345 | 89 | 0.596474 | 6,797 | 0.958674 | 0 | 0 | 0 | 0 | 0 | 0 | 4,109 | 0.579549 |
3b2534c0418b9126bf14031fac35d279d4d24036 | 2,220 | py | Python | experiment1_meantime.py | mcsosa121/KSRFILS | 75995933771d8338de33cc9bbb5e9416e4242c6b | [
"MIT"
] | null | null | null | experiment1_meantime.py | mcsosa121/KSRFILS | 75995933771d8338de33cc9bbb5e9416e4242c6b | [
"MIT"
] | null | null | null | experiment1_meantime.py | mcsosa121/KSRFILS | 75995933771d8338de33cc9bbb5e9416e4242c6b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import time
import numpy
from krypy.linsys import LinearSystem, Cg
from krypy.deflation import DeflatedCg, DeflatedGmres, Ritz
from krypy.utils import Arnoldi, ritz, BoundCG
from krypy.recycling import RecyclingCg
from krypy.recycling.factories import RitzFactory,RitzFactorySimple
from k... | 32.647059 | 93 | 0.644144 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 182 | 0.081982 |
3b26b3c9eed01d7a7107dd173072da3799bc96a8 | 417 | py | Python | catkin_ws/bbinstance/src/bbinstance/robotInstance2.py | fontysrobotics/Blackboard_based_distributed_fleet_manager | a6b44738fe67f4948a69f8d45da58d981c6724e0 | [
"BSD-3-Clause"
] | null | null | null | catkin_ws/bbinstance/src/bbinstance/robotInstance2.py | fontysrobotics/Blackboard_based_distributed_fleet_manager | a6b44738fe67f4948a69f8d45da58d981c6724e0 | [
"BSD-3-Clause"
] | null | null | null | catkin_ws/bbinstance/src/bbinstance/robotInstance2.py | fontysrobotics/Blackboard_based_distributed_fleet_manager | a6b44738fe67f4948a69f8d45da58d981c6724e0 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#need to point to classes inorder to import
import rospy
from blackboard.Robot import Robot
from blackboard.RosCommunication import Talker
from rosnode import rosnode_ping
from blackboard.Blackboard import Blackboard
from blackboard.Battery import Battery
bat = Battery(100,500,100)
talker = Talk... | 24.529412 | 68 | 0.786571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0.239808 |
3b272c4081ff788cf0e7635f139e4a72c7417fd5 | 3,935 | py | Python | club_crm/api/backend/restaurant.py | VivekChamp/clubcrm | 82036360d867d3dc5406bc71445a98841b5bffbf | [
"MIT"
] | null | null | null | club_crm/api/backend/restaurant.py | VivekChamp/clubcrm | 82036360d867d3dc5406bc71445a98841b5bffbf | [
"MIT"
] | null | null | null | club_crm/api/backend/restaurant.py | VivekChamp/clubcrm | 82036360d867d3dc5406bc71445a98841b5bffbf | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import frappe
from datetime import datetime, date
from club_crm.club_crm.utils.sms_notification import send_sms
from club_crm.club_crm.utils.push_notification import send_push
from frappe.utils import getdate, get_time, flt
from frappe.utils import escape_html
from frappe import ... | 34.823009 | 148 | 0.581194 | 0 | 0 | 0 | 0 | 3,591 | 0.912579 | 0 | 0 | 870 | 0.221093 |
3b28f0284102a05a1095c18ed52c32ed434b06cb | 5,448 | py | Python | keras_vgg_16.py | henniekim/python_keras_vgg_16 | 46f86f8737244cf10155b08eaebe0d5232199215 | [
"MIT"
] | null | null | null | keras_vgg_16.py | henniekim/python_keras_vgg_16 | 46f86f8737244cf10155b08eaebe0d5232199215 | [
"MIT"
] | null | null | null | keras_vgg_16.py | henniekim/python_keras_vgg_16 | 46f86f8737244cf10155b08eaebe0d5232199215 | [
"MIT"
] | null | null | null | from keras.models import Sequential
from keras.layers import Dense, Activation
from keras.layers.pooling import MaxPooling2D
from keras.layers.convolutional import Conv2D
from keras.initializers import he_normal
from keras.initializers import Zeros
from keras.activations import relu
from keras.layers import Flatten
fro... | 34.481013 | 112 | 0.606094 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,334 | 0.24486 |
3b2dfadc0723866c776dd2e832a0bd0837f7b239 | 246 | py | Python | run/depla/experiment/__init__.py | KinakomochiBotan/depla | e2c530f7fe5fc8fe185f0f789738fa7fc52bdeca | [
"MIT"
] | null | null | null | run/depla/experiment/__init__.py | KinakomochiBotan/depla | e2c530f7fe5fc8fe185f0f789738fa7fc52bdeca | [
"MIT"
] | null | null | null | run/depla/experiment/__init__.py | KinakomochiBotan/depla | e2c530f7fe5fc8fe185f0f789738fa7fc52bdeca | [
"MIT"
] | null | null | null | from .experiment import Experiment
from .experiment1 import Experiment1
from .experiment2 import Experiment21, Experiment22, Experiment23
from .experiment3 import Experiment31, Experiment32, Experiment33, Experiment34, Experiment35, Experiment36
| 49.2 | 107 | 0.861789 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3b2fc312f99460590373adcc92790f19e8fa24fd | 2,149 | py | Python | posts/migrations/0001_initial.py | yashgo0018/django_blog | c742e632c8657582952fe27589fd8a704c9ebfbf | [
"MIT"
] | null | null | null | posts/migrations/0001_initial.py | yashgo0018/django_blog | c742e632c8657582952fe27589fd8a704c9ebfbf | [
"MIT"
] | null | null | null | posts/migrations/0001_initial.py | yashgo0018/django_blog | c742e632c8657582952fe27589fd8a704c9ebfbf | [
"MIT"
] | null | null | null | # Generated by Django 2.1.7 on 2019-03-24 05:27
import ckeditor_uploader.fields
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('categories', '0001_initial'),
m... | 38.375 | 120 | 0.579805 | 1,958 | 0.911121 | 0 | 0 | 0 | 0 | 0 | 0 | 356 | 0.165658 |
3b3016e674b62043a2e132fe78e7e8b49b36eeef | 1,231 | py | Python | tests/test_user.py | kangangi/blogIP | 70494f73e5e89fb3d844c728b8feaeba56397718 | [
"MIT"
] | null | null | null | tests/test_user.py | kangangi/blogIP | 70494f73e5e89fb3d844c728b8feaeba56397718 | [
"MIT"
] | null | null | null | tests/test_user.py | kangangi/blogIP | 70494f73e5e89fb3d844c728b8feaeba56397718 | [
"MIT"
] | null | null | null | import unittest
from app import db
from app.models import User
class TestUser(unittest.TestCase):
'''
Class that tests the User class
'''
def setUp(self):
self.new_user = User(username = "Diana",fullname = "Diana",email = "diana@gmail.com", bio= "A girl", profile_pic_url="imageurl", password =... | 34.194444 | 155 | 0.676686 | 1,166 | 0.947197 | 0 | 0 | 0 | 0 | 0 | 0 | 159 | 0.129163 |
3b3377ab3bbbbe4087d48dd851a3fad3ecbb9f4d | 7,284 | py | Python | tests/unit/orders/manual/test_manual_sell_orders.py | dastra/hargreaves-sdk-python | 8099d775c6a70ac415690c0322fe1b964356f6ff | [
"MIT"
] | null | null | null | tests/unit/orders/manual/test_manual_sell_orders.py | dastra/hargreaves-sdk-python | 8099d775c6a70ac415690c0322fe1b964356f6ff | [
"MIT"
] | null | null | null | tests/unit/orders/manual/test_manual_sell_orders.py | dastra/hargreaves-sdk-python | 8099d775c6a70ac415690c0322fe1b964356f6ff | [
"MIT"
] | null | null | null | import http
from pathlib import Path
from urllib.parse import urlencode
from hargreaves.search.models import InvestmentCategoryTypes
from hargreaves.session.mocks import MockSessionClient
from hargreaves.orders.manual.clients import ManualOrderClient
from hargreaves.orders.manual.models import ManualOrder, ManualOrder... | 35.705882 | 109 | 0.62905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,486 | 0.204009 |
3b3429811d85f7005761b8ac7ab0e4ba8f27c361 | 10,675 | py | Python | disco/cli/config_time_series.py | NREL/disco | 19afa1c397c6c24e37222f6cbf027eb88833beda | [
"BSD-3-Clause"
] | 2 | 2022-03-11T20:04:34.000Z | 2022-03-14T22:25:29.000Z | disco/cli/config_time_series.py | NREL/disco | 19afa1c397c6c24e37222f6cbf027eb88833beda | [
"BSD-3-Clause"
] | 4 | 2022-03-11T17:48:50.000Z | 2022-03-17T21:39:47.000Z | disco/cli/config_time_series.py | NREL/disco | 19afa1c397c6c24e37222f6cbf027eb88833beda | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""Creates JADE configuration for stage 1 of pydss_simulation pipeline."""
import logging
import sys
import click
from jade.common import CONFIG_FILE
from jade.loggers import setup_logging
from jade.utils.utils import load_data
from PyDSS.reports.pv_reports import PF1_SCENARIO, CONTROL_MODE_SC... | 34.214744 | 102 | 0.662857 | 0 | 0 | 0 | 0 | 5,599 | 0.524496 | 0 | 0 | 3,329 | 0.31185 |
3b342af0c0a09204758f2297725b146938b7b68d | 1,236 | py | Python | example/client/sampleclient.py | Pizaid/pizaid-controller | b4945d06efe3f12b90f9c917a53a95753ef3c477 | [
"MIT"
] | null | null | null | example/client/sampleclient.py | Pizaid/pizaid-controller | b4945d06efe3f12b90f9c917a53a95753ef3c477 | [
"MIT"
] | 1 | 2020-04-16T08:12:00.000Z | 2020-04-16T08:12:00.000Z | example/client/sampleclient.py | Pizaid/pizaid-controller | b4945d06efe3f12b90f9c917a53a95753ef3c477 | [
"MIT"
] | 1 | 2020-04-14T09:48:07.000Z | 2020-04-14T09:48:07.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim: set fileencoding=utf-8 :
#
# Author: Makoto Shimazu <makoto.shimaz@gmail.com>
# URL: https://github.com/Pizaid
# License: 2-Clause BSD License
# Created: 2014-08-09
#
import sys
sys.path.append('gen-py')
from Pizaid import ControllerService
from Pizaid.tty... | 29.428571 | 57 | 0.733819 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 543 | 0.43932 |
3b34ddac11a67c7eb3731fd10bcd57b32d475cfe | 660 | py | Python | moralizer/moralizer.py | npmontgomery/moralizer | 3a1d452c273b8a999ec1ce233e74831e1a89c13d | [
"MIT"
] | 3 | 2019-07-25T01:56:20.000Z | 2020-10-02T22:30:36.000Z | moralizer/moralizer.py | npmontgomery/moralizer | 3a1d452c273b8a999ec1ce233e74831e1a89c13d | [
"MIT"
] | null | null | null | moralizer/moralizer.py | npmontgomery/moralizer | 3a1d452c273b8a999ec1ce233e74831e1a89c13d | [
"MIT"
] | 1 | 2020-04-17T22:10:24.000Z | 2020-04-17T22:10:24.000Z | from auxilliary_functions import *
def read_file(filename):
"""
Reads in a file as utf-8.
:param filename: Filepath to the file to be read.
"""
with open(filename, 'r',encoding='utf-8') as file:
return file.read()
def moralize(input_text, output_format='pydict'):
"""
Takes input t... | 27.5 | 101 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 361 | 0.54697 |
3b35fe45e80f54b97695c26773ce24d2dd23c8ca | 519 | py | Python | convert_shu_json.py | ksiomelo/cubix | cd9e6dda6696b302a7c0d383259a9d60b15b0d55 | [
"Apache-2.0"
] | 3 | 2015-09-07T00:16:16.000Z | 2019-01-11T20:27:56.000Z | convert_shu_json.py | ksiomelo/cubix | cd9e6dda6696b302a7c0d383259a9d60b15b0d55 | [
"Apache-2.0"
] | null | null | null | convert_shu_json.py | ksiomelo/cubix | cd9e6dda6696b302a7c0d383259a9d60b15b0d55 | [
"Apache-2.0"
] | null | null | null | import os
import json
from pprint import pprint
def convert(inputfile,outputfile):
json_data=open(inputfile)
data = json.load(json_data)
#pprint(data)
json_data.close()
# copy to file
f = open(outputfile, 'w')
for line in data:
f.write(line +'\n')
f.close()
... | 22.565217 | 110 | 0.622351 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 192 | 0.369942 |
3b36647274e28645db368fe1412571e540dc57c9 | 1,919 | py | Python | vcfp_attack/trainByBayes.py | kenneds6/VCFingerprinting | 2de88766e2b2beeed44a4267c370fe755b5db90d | [
"MIT"
] | null | null | null | vcfp_attack/trainByBayes.py | kenneds6/VCFingerprinting | 2de88766e2b2beeed44a4267c370fe755b5db90d | [
"MIT"
] | null | null | null | vcfp_attack/trainByBayes.py | kenneds6/VCFingerprinting | 2de88766e2b2beeed44a4267c370fe755b5db90d | [
"MIT"
] | null | null | null | #!/usr/bin/python
import os
import sys
import sklearn
from sklearn.naive_bayes import GaussianNB
from sklearn.externals import joblib
import argparse
import numpy as np
import fileUtils
import tools
def saveModel(modelData, fpath):
joblib.dump(modelData, fpath)
def readfile(fpath):
tmpList = []
for li... | 24.922078 | 81 | 0.682126 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 0.074518 |
3b3666930d6995caea754b79c0c21bae3db8e9e7 | 2,472 | py | Python | hosting-scripts/leaseweb_invoices.py | sromanenko/hand-tools | 50be74f07c8f8f6bb89e6470c4370c62c2fbc2e0 | [
"MIT"
] | null | null | null | hosting-scripts/leaseweb_invoices.py | sromanenko/hand-tools | 50be74f07c8f8f6bb89e6470c4370c62c2fbc2e0 | [
"MIT"
] | null | null | null | hosting-scripts/leaseweb_invoices.py | sromanenko/hand-tools | 50be74f07c8f8f6bb89e6470c4370c62c2fbc2e0 | [
"MIT"
] | 1 | 2020-10-05T08:11:13.000Z | 2020-10-05T08:11:13.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import requests
import gspread
import config
from oauth2client.service_account import ServiceAccountCredentials as Account
api_url = 'https://api.leaseweb.com/invoices/v1/invoices'
def api_request(url, headers, params=None):
try:
conn = requests.get(url=url... | 28.413793 | 77 | 0.637136 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 621 | 0.246918 |
3b377d3baccb78698043aba61e68c933edadec23 | 2,499 | py | Python | scrapy_ddiy/utils/common.py | LZC6244/scrapy_ddiy | 1bf7cdd382afd471af0bf7069b377fb364dc4730 | [
"MIT"
] | 9 | 2021-05-17T02:55:16.000Z | 2022-03-28T08:36:50.000Z | scrapy_ddiy/utils/common.py | LZC6244/scrapy_ddiy | 1bf7cdd382afd471af0bf7069b377fb364dc4730 | [
"MIT"
] | null | null | null | scrapy_ddiy/utils/common.py | LZC6244/scrapy_ddiy | 1bf7cdd382afd471af0bf7069b377fb364dc4730 | [
"MIT"
] | 1 | 2022-01-23T06:28:31.000Z | 2022-01-23T06:28:31.000Z | # -*- coding: utf-8 -*-
import ast
import redis
import socket
import hashlib
import pymongo
from scrapy import Request
from w3lib.url import canonicalize_url
from scrapy.utils.python import to_bytes
def get_str_md5(string: str, encoding='utf-8'):
"""
计算字符串的 MD5 值
:param string:
:param encoding:
:r... | 27.163043 | 113 | 0.612245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 863 | 0.325292 |
3b380e0ffaac00c93adb248541f24f62ceacc3dd | 7,392 | py | Python | src/ctc/toolbox/amm_utils/cpmm/cpmm_trade.py | fei-protocol/checkthechain | ec838f3d0d44af228f45394d9ba8d8eb7f677520 | [
"MIT"
] | 94 | 2022-02-15T19:34:49.000Z | 2022-03-26T19:26:22.000Z | src/ctc/toolbox/amm_utils/cpmm/cpmm_trade.py | fei-protocol/checkthechain | ec838f3d0d44af228f45394d9ba8d8eb7f677520 | [
"MIT"
] | 7 | 2022-03-03T02:58:47.000Z | 2022-03-11T18:41:05.000Z | src/ctc/toolbox/amm_utils/cpmm/cpmm_trade.py | fei-protocol/checkthechain | ec838f3d0d44af228f45394d9ba8d8eb7f677520 | [
"MIT"
] | 7 | 2022-02-15T17:53:07.000Z | 2022-03-17T19:14:17.000Z | from __future__ import annotations
import decimal
from ctc.toolbox import validate_utils
from . import cpmm_spec
def trade(
x_reserves: int | float,
y_reserves: int | float,
x_sold: int | float | None = None,
x_bought: int | float | None = None,
y_sold: int | float | None = None,
y_bought: i... | 28.875 | 80 | 0.597673 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,354 | 0.183171 |
3b38ef2961c998d8a6b7e0cf700fee710c14fe96 | 4,245 | py | Python | part2_streaming/ingestion/load_data.py | jkielbaey/coursera-cloud-computing-capstone | 616ac5e9a58140e104b65162ca5073d507792e46 | [
"MIT"
] | 3 | 2019-12-26T15:17:54.000Z | 2022-03-23T09:54:02.000Z | part2_streaming/ingestion/load_data.py | jkielbaey/coursera-cloud-computing-capstone | 616ac5e9a58140e104b65162ca5073d507792e46 | [
"MIT"
] | null | null | null | part2_streaming/ingestion/load_data.py | jkielbaey/coursera-cloud-computing-capstone | 616ac5e9a58140e104b65162ca5073d507792e46 | [
"MIT"
] | 2 | 2019-10-04T08:28:35.000Z | 2020-06-27T18:49:45.000Z | #!/usr/bin/env python3
import boto3
import csv
import json
import re
import os
import logging
from multiprocessing import Pool
import sys
sys.path.insert(0, './lib')
from kafka import KafkaProducer
lambda_client = boto3.client('lambda')
bucket_name = None
kafka_topic = None
logging.basicConfig(format='%(levelname)s... | 30.321429 | 75 | 0.619552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 942 | 0.221908 |
3b399f0d24af2651e241a2dbc09d0bd6f463382a | 119 | py | Python | campus_app/admin.py | VSSantana/APP-Campus-Online-v5.0 | 19e74832527e5a3beb479d4fe8a595caa319f914 | [
"MIT"
] | 1 | 2021-04-12T13:34:00.000Z | 2021-04-12T13:34:00.000Z | campus_app/admin.py | VSSantana/APP-Campus-Online-v5.0 | 19e74832527e5a3beb479d4fe8a595caa319f914 | [
"MIT"
] | 19 | 2021-05-14T20:56:29.000Z | 2022-02-10T11:59:33.000Z | APP-Campus-Online-v6.0/campus_app/admin.py | Benedito-Medeiros-Neto-UnB/TacProgWeb | c7d795a69524e428988d4ed796f4a1c2ded035e3 | [
"MIT"
] | 10 | 2021-05-13T16:18:53.000Z | 2021-11-08T14:30:08.000Z | from django.contrib import admin
from .models import Noticia
# Register your models here.
admin.site.register(Noticia) | 23.8 | 32 | 0.815126 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.235294 |
3b39d14aa460ee7aad9a34f8b5f86ea2f7ba1e12 | 5,144 | py | Python | main_simV4.py | iexarchos/motion_imitation | ea9004f77405c8eb1e8a53650dffa723f86018d9 | [
"Apache-2.0"
] | null | null | null | main_simV4.py | iexarchos/motion_imitation | ea9004f77405c8eb1e8a53650dffa723f86018d9 | [
"Apache-2.0"
] | null | null | null | main_simV4.py | iexarchos/motion_imitation | ea9004f77405c8eb1e8a53650dffa723f86018d9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 6 14:09:05 2020
@author: yannis
"""
import torch
import random
from pdb import set_trace as bp
from a2c_ppo_acktr.envs import make_vec_envs
from a2c_ppo_acktr.utils import get_vec_normalize
import motion_imitation
import time
import numpy as np
... | 32.974359 | 137 | 0.565708 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,038 | 0.201788 |
3b3fd98acac07ed593a7ca205f7cd51abad26fa3 | 1,585 | py | Python | setup.py | NaturalCycles/hailstorms | 779fb9a2d3d291ec3a51f17302e3c709054aa78a | [
"MIT"
] | 2 | 2018-12-21T12:42:02.000Z | 2021-05-12T09:01:22.000Z | setup.py | NaturalCycles/hailstorms | 779fb9a2d3d291ec3a51f17302e3c709054aa78a | [
"MIT"
] | null | null | null | setup.py | NaturalCycles/hailstorms | 779fb9a2d3d291ec3a51f17302e3c709054aa78a | [
"MIT"
] | 1 | 2018-12-06T10:12:18.000Z | 2018-12-06T10:12:18.000Z | # -*- coding: utf-8 -*-
import ast
import os
import re
from setuptools import find_packages, setup
setup(
name='hailstorms',
version='1.0.5',
description="Distributed load testing framework",
long_description="""Hailstorm is a simplified config based, distributed load testing framework""",
classif... | 33.020833 | 102 | 0.603155 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 972 | 0.613249 |
3b40b53be905051fc29376c809a528f0f56e00ed | 3,747 | py | Python | distribution/src/assembly/test/test.py | aliyun/alibabacloud-maxcompute-tool-migrate | 22ba9d36c0fe9b79b3d91766a22ec43372b6c540 | [
"Apache-2.0"
] | 19 | 2019-12-17T10:00:59.000Z | 2022-03-20T03:20:42.000Z | distribution/src/assembly/test/test.py | aliyun/alibabacloud-maxcompute-tool-migrate | 22ba9d36c0fe9b79b3d91766a22ec43372b6c540 | [
"Apache-2.0"
] | 73 | 2020-08-13T10:40:16.000Z | 2022-03-21T06:57:36.000Z | distribution/src/assembly/test/test.py | aliyun/alibabacloud-maxcompute-tool-migrate | 22ba9d36c0fe9b79b3d91766a22ec43372b6c540 | [
"Apache-2.0"
] | 6 | 2020-08-13T10:42:21.000Z | 2022-01-13T04:04:24.000Z | #
# Copyright 1999-2021 Alibaba Group Holding 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... | 30.966942 | 76 | 0.631705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,093 | 0.2917 |
3b429026656499e942a38341d6e198b9bfc94595 | 1,740 | py | Python | src/muses/search_index/documents/helpers.py | Aincient/cleo | 933ef372fa7847d943206d72bfb03c201dbafbd6 | [
"Apache-2.0"
] | null | null | null | src/muses/search_index/documents/helpers.py | Aincient/cleo | 933ef372fa7847d943206d72bfb03c201dbafbd6 | [
"Apache-2.0"
] | null | null | null | src/muses/search_index/documents/helpers.py | Aincient/cleo | 933ef372fa7847d943206d72bfb03c201dbafbd6 | [
"Apache-2.0"
] | 3 | 2018-10-01T12:04:36.000Z | 2021-01-07T09:30:50.000Z | import csv
import logging
__all__ = (
'read_synonyms',
)
LOGGER = logging.getLogger(__name__)
def read_synonyms(path):
"""Read synonyms.
Read synonyms from the following format:
word_id;preferred_EN;variant1;variant2;variant3;variant4;variant5
1;Anatolia;anatolia;anatolie;anatolien;;
... | 28.064516 | 75 | 0.543678 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 848 | 0.487356 |
3b46710ce31a8de493b043c80a7fb418b77deda4 | 5,503 | py | Python | GxbManager.py | moonmagian/GxbManager | fb6c31ce6b53f049ca1b40129e57ab04189d1a28 | [
"MIT"
] | 3 | 2018-08-31T07:33:12.000Z | 2019-06-10T14:21:38.000Z | GxbManager.py | moonmagian/GxbManager | fb6c31ce6b53f049ca1b40129e57ab04189d1a28 | [
"MIT"
] | null | null | null | GxbManager.py | moonmagian/GxbManager | fb6c31ce6b53f049ca1b40129e57ab04189d1a28 | [
"MIT"
] | 2 | 2018-08-20T14:45:11.000Z | 2018-08-24T09:12:47.000Z | from selenium import webdriver
import selenium
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.common.exceptions import TimeoutException
import re
STATUS_OUTPUT = \
'''Video: {0}
Status... | 32.952096 | 105 | 0.652008 | 330 | 0.059967 | 0 | 0 | 0 | 0 | 0 | 0 | 1,390 | 0.252589 |
3b46ed8634fc704f45f15531d6f71a175564ad9b | 16,090 | py | Python | statey/fsm.py | cfeenstra67/statey | 6d127ed48265e2e072fbb26486458a4b28a333ec | [
"MIT"
] | 4 | 2021-02-16T19:34:38.000Z | 2022-01-31T16:44:14.000Z | statey/fsm.py | cfeenstra67/statey | 6d127ed48265e2e072fbb26486458a4b28a333ec | [
"MIT"
] | null | null | null | statey/fsm.py | cfeenstra67/statey | 6d127ed48265e2e072fbb26486458a4b28a333ec | [
"MIT"
] | null | null | null | import abc
import dataclasses as dc
import enum
import types as pytypes
from collections import Counter
from functools import wraps, partial
from typing import Sequence, Callable, Type as PyType, Dict, Any, Optional
import networkx as nx
import statey as st
from statey import resource, task, exc
from statey.provider ... | 32.374245 | 97 | 0.636482 | 13,923 | 0.86532 | 0 | 0 | 5,441 | 0.33816 | 8,066 | 0.501305 | 4,631 | 0.287819 |
3b4761fe2b3dfb5179be295baf3be2ef36b02d3e | 2,555 | py | Python | aicup-python/model/unit.py | arijitgupta42/RAIC-2019 | e17828a4a6ac7990fe340b56276378be2297397f | [
"MIT"
] | null | null | null | aicup-python/model/unit.py | arijitgupta42/RAIC-2019 | e17828a4a6ac7990fe340b56276378be2297397f | [
"MIT"
] | null | null | null | aicup-python/model/unit.py | arijitgupta42/RAIC-2019 | e17828a4a6ac7990fe340b56276378be2297397f | [
"MIT"
] | null | null | null | from .vec2_double import Vec2Double
from .vec2_double import Vec2Double
from .jump_state import JumpState
from .weapon import Weapon
class Unit:
def __init__(self, player_id, id, health, position, size, jump_state, walked_right, stand, on_ground, on_ladder, mines, weapon):
self.player_id = player_id
... | 37.028986 | 132 | 0.585127 | 2,421 | 0.947554 | 0 | 0 | 720 | 0.2818 | 0 | 0 | 43 | 0.01683 |
3b4829ba1c98a7bf3d58887a33bd74f5459ae8e5 | 457 | py | Python | tvempresa/src/apps/web/urls.py | ddvloayza/str3am-app | 89c844cf8cfcc3c40e696db0feedfd1b21682989 | [
"MIT"
] | null | null | null | tvempresa/src/apps/web/urls.py | ddvloayza/str3am-app | 89c844cf8cfcc3c40e696db0feedfd1b21682989 | [
"MIT"
] | null | null | null | tvempresa/src/apps/web/urls.py | ddvloayza/str3am-app | 89c844cf8cfcc3c40e696db0feedfd1b21682989 | [
"MIT"
] | null | null | null | from django.urls import path
from django.conf.urls import url
from .views import (home, capitulo_detalle, buscador, app, app_ios)
from .api import CapitulosList, CapitulosDetail
app_name = 'web'
urlpatterns = [
url(r'^$', home, name='home'),
url(r'^capitulo/(?P<slug>[-\w]+)/$', capitulo_detalle, name='capitulo_det... | 26.882353 | 81 | 0.68709 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 122 | 0.266958 |
3b4832ce003abf03eb474b13d67edabb8d78412f | 305 | py | Python | Python3/Lucky Numbers in a Matrix.py | olma2077/LeetCode | 6a229ae23c5a211bc44de51178ced5bef6a44233 | [
"MIT"
] | 1 | 2020-04-12T09:34:52.000Z | 2020-04-12T09:34:52.000Z | Python3/Lucky Numbers in a Matrix.py | olma2077/LeetCode | 6a229ae23c5a211bc44de51178ced5bef6a44233 | [
"MIT"
] | null | null | null | Python3/Lucky Numbers in a Matrix.py | olma2077/LeetCode | 6a229ae23c5a211bc44de51178ced5bef6a44233 | [
"MIT"
] | null | null | null | class Solution:
def luckyNumbers (self, matrix: List[List[int]]) -> List[int]:
nums = []
for row in matrix:
num = min(row)
i = row.index(num)
if num == max([line[i] for line in matrix]):
nums.append(num)
return nums
| 27.727273 | 66 | 0.478689 | 295 | 0.967213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3b489c9ebfe89f6bd772777f5f5df11e70f892e2 | 26,402 | py | Python | gmusicapi/metadata_pb2.py | antimatter15/Unofficial-Google-Music-API | 4c7531dc49d17f421ec542aec0a43d4fdf5b5acc | [
"BSD-3-Clause"
] | 1 | 2016-11-01T15:24:21.000Z | 2016-11-01T15:24:21.000Z | gmusicapi/metadata_pb2.py | odiroot/Unofficial-Google-Music-API | d192908ec636c4a252ffe232d873924eb56e47df | [
"BSD-3-Clause"
] | null | null | null | gmusicapi/metadata_pb2.py | odiroot/Unofficial-Google-Music-API | d192908ec636c4a252ffe232d873924eb56e47df | [
"BSD-3-Clause"
] | 1 | 2018-04-05T18:37:35.000Z | 2018-04-05T18:37:35.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
from google.protobuf import descriptor
from google.protobuf import message
from google.protobuf import reflection
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
DESCRIPTOR = descriptor.FileDescriptor(
name='metadata.proto',
... | 37.609687 | 2,401 | 0.715703 | 1,985 | 0.075184 | 0 | 0 | 0 | 0 | 0 | 0 | 4,967 | 0.18813 |
3b48b5c6b0beab4348ea4b329be5dc752fd9b9ac | 992 | py | Python | tests/pages/mobile/article.py | navgurukul-shivani18/kitsune | a7cf49ab1bfcf4e770938116968824b2b0fa5bb1 | [
"BSD-3-Clause"
] | 4 | 2021-05-17T11:38:08.000Z | 2021-08-19T06:42:39.000Z | tests/pages/mobile/article.py | navgurukul-shivani18/kitsune | a7cf49ab1bfcf4e770938116968824b2b0fa5bb1 | [
"BSD-3-Clause"
] | 32 | 2021-04-15T22:35:58.000Z | 2022-01-04T21:30:05.000Z | tests/pages/mobile/article.py | navgurukul-shivani18/kitsune | a7cf49ab1bfcf4e770938116968824b2b0fa5bb1 | [
"BSD-3-Clause"
] | 3 | 2020-06-14T06:59:46.000Z | 2020-06-15T14:45:56.000Z | # This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from pages.mobile.b... | 36.740741 | 84 | 0.745968 | 653 | 0.658266 | 0 | 0 | 127 | 0.128024 | 0 | 0 | 242 | 0.243952 |
3b4a40f899a77b427cfbccdfdad28f929fa2fc9b | 10,008 | py | Python | modules/jwtoken/handlers/jwtokenhandler.py | umbros/spid-sp-sapspid | 5546aeb2bc968d26537732af8e7aee52d1896e99 | [
"MIT"
] | 6 | 2017-09-30T11:10:22.000Z | 2022-02-04T19:42:28.000Z | modules/jwtoken/handlers/jwtokenhandler.py | umbros/spid-sp-sapspid | 5546aeb2bc968d26537732af8e7aee52d1896e99 | [
"MIT"
] | 4 | 2019-01-30T13:38:42.000Z | 2021-03-28T14:51:31.000Z | modules/jwtoken/handlers/jwtokenhandler.py | umbros/spid-sp-sapspid | 5546aeb2bc968d26537732af8e7aee52d1896e99 | [
"MIT"
] | 4 | 2017-10-06T14:17:50.000Z | 2021-02-18T08:38:19.000Z | from response import ResponseObj
from response import RequestHandler
from request import RequestObjNew
import tornado.web
import traceback
import tornado.gen
import tornado.ioloop
import tornado.concurrent
import logging
from lib.customException import ApplicationException
import globalsObj
import re
import jwtoken.li... | 42.769231 | 135 | 0.611511 | 9,661 | 0.965328 | 0 | 0 | 0 | 0 | 1,213 | 0.121203 | 2,113 | 0.211131 |
3b4ade8bc607cded2275ae6b39e470674d788698 | 481 | py | Python | chat/routing.py | yccye/CT_AI_web | 267553d3aaaef78f7dbdd652c0f1868ec60862c2 | [
"MulanPSL-1.0"
] | 5 | 2021-05-25T07:53:36.000Z | 2021-11-23T13:04:51.000Z | chat/routing.py | yccye/CT_AI_web | 267553d3aaaef78f7dbdd652c0f1868ec60862c2 | [
"MulanPSL-1.0"
] | 1 | 2021-11-07T14:41:52.000Z | 2021-11-07T15:34:28.000Z | chat/routing.py | yccye/CT_AI_web | 267553d3aaaef78f7dbdd652c0f1868ec60862c2 | [
"MulanPSL-1.0"
] | 2 | 2021-11-07T13:29:13.000Z | 2022-03-10T12:13:04.000Z | """配置通往consumer的路由，即配置websocket路由"""
from django.conf.urls import url
from django.urls import path
from . import consumers
websocket_urlpatterns = [
# url(r'^ws/chat/(?P<room_name>[^/]+)/$', consumers.ChatConsumer),
path('ws/chat/<room_name>/', consumers.ChatConsumer),
path('wss/chat/<room_name>/', consu... | 32.066667 | 70 | 0.717256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 230 | 0.453649 |
3b4b9354311551bc2bc10d92b23b0b7e560e5d2c | 510 | py | Python | pylon/aws/ssm.py | ch41rmn/pylon-oss | c9ad06438e4d6c8b496b92eabd07d2b12e661e6e | [
"Apache-2.0"
] | 3 | 2020-09-27T02:09:52.000Z | 2022-02-25T02:30:24.000Z | pylon/aws/ssm.py | ch41rmn/pylon-oss | c9ad06438e4d6c8b496b92eabd07d2b12e661e6e | [
"Apache-2.0"
] | 8 | 2020-09-24T07:47:14.000Z | 2020-10-16T08:48:38.000Z | pylon/aws/ssm.py | ch41rmn/pylon-oss | c9ad06438e4d6c8b496b92eabd07d2b12e661e6e | [
"Apache-2.0"
] | 4 | 2020-09-24T07:41:23.000Z | 2020-09-27T02:07:01.000Z | import boto3
import typing
import functools
from ._bases import BaseMixin
from ..utils import logging
@functools.lru_cache(maxsize=1)
def ssmClient():
return boto3.client('ssm')
class ParameterStore(BaseMixin):
def __init__(self):
super().__init__(name='')
@classmethod
def get(cls, key: st... | 22.173913 | 75 | 0.692157 | 323 | 0.633333 | 0 | 0 | 305 | 0.598039 | 0 | 0 | 56 | 0.109804 |
3b4dd016a5a62e889caf8de8f14b9ed9c6e05dee | 3,020 | py | Python | src/main.py | Maffey/pomelo-discord-bot | 22ea6d9547faf086c2eeb669a983fe3fffea0b29 | [
"MIT"
] | 3 | 2020-07-02T18:08:02.000Z | 2021-12-11T11:08:18.000Z | src/main.py | Maffey/PomeloDiscordBot | 7a79d2cfddc46821d216af715933d314c654812b | [
"MIT"
] | 1 | 2022-02-23T21:41:16.000Z | 2022-02-23T21:41:16.000Z | src/main.py | Maffey/pomelo-discord-bot | 22ea6d9547faf086c2eeb669a983fe3fffea0b29 | [
"MIT"
] | null | null | null | import logging
import os
import sys
import traceback
from itertools import cycle
import discord
from discord.ext import commands, tasks
# Log information about bot operations.
logging.basicConfig(level=logging.INFO)
# Get Discord token from environmental variable.
DISCORD_BOT_TOKEN = os.getenv("DISCORD_BOT_TOKEN")
... | 32.473118 | 120 | 0.705629 | 0 | 0 | 0 | 0 | 1,599 | 0.52947 | 1,533 | 0.507616 | 1,521 | 0.503642 |
3b54a297ca4333bc469b722207d046594617f664 | 14,209 | py | Python | explainer.py | bohemian-ai/POS-Tag-Humanizer | d95f347cfde36ae3565a7b1d9b7293bf2aa87f44 | [
"MIT"
] | null | null | null | explainer.py | bohemian-ai/POS-Tag-Humanizer | d95f347cfde36ae3565a7b1d9b7293bf2aa87f44 | [
"MIT"
] | null | null | null | explainer.py | bohemian-ai/POS-Tag-Humanizer | d95f347cfde36ae3565a7b1d9b7293bf2aa87f44 | [
"MIT"
] | null | null | null | from termcolor import cprint, colored
# Reference: https://ufal.mff.cuni.cz/pdt/Morphology_and_Tagging/Doc/hmptagqr.html
# Morphodita online demo: http://lindat.mff.cuni.cz/services/morphodita/
categories = [
{'POS': 'Part of Speech'},
{'SUBPOS': 'Detailed Part of Speech'},
{'GENDER': 'Gender'},
{'NUM... | 48.166102 | 243 | 0.589767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10,425 | 0.729174 |
3b56c27371d7864fd9724c051669c52b7b5c54a4 | 1,796 | py | Python | humans.py | AlexTaguchi/image-segmentation | a0cff755d5b6478bb70e30c623fb62a676cc851a | [
"MIT"
] | null | null | null | humans.py | AlexTaguchi/image-segmentation | a0cff755d5b6478bb70e30c623fb62a676cc851a | [
"MIT"
] | null | null | null | humans.py | AlexTaguchi/image-segmentation | a0cff755d5b6478bb70e30c623fb62a676cc851a | [
"MIT"
] | null | null | null | # Real-time human segmentation with a web camera
# Modules
import cv2
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import time
import torch
from torchvision import transforms
# Use GPU if available
device = 'cuda' if torch.cuda.is_available() else 'cpu'
# Load Pretrained DeepLabV3
model =... | 26.411765 | 87 | 0.678174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 537 | 0.298998 |
3b579891ec54a7eaab385d732105f141cf6b521b | 2,276 | py | Python | telesignenterprise/telebureau.py | Coffee-Meets-Bagel/python_telesign_enterprise | 7a9fbed581967c4c2fb9f9d3c1f8853dd67df58d | [
"MIT"
] | 3 | 2021-06-04T22:55:49.000Z | 2021-12-29T00:21:00.000Z | telesignenterprise/telebureau.py | Coffee-Meets-Bagel/python_telesign_enterprise | 7a9fbed581967c4c2fb9f9d3c1f8853dd67df58d | [
"MIT"
] | 2 | 2019-10-30T20:04:51.000Z | 2022-01-04T09:26:18.000Z | telesignenterprise/telebureau.py | Coffee-Meets-Bagel/python_telesign_enterprise | 7a9fbed581967c4c2fb9f9d3c1f8853dd67df58d | [
"MIT"
] | 1 | 2021-07-23T23:34:15.000Z | 2021-07-23T23:34:15.000Z | from __future__ import unicode_literals
from telesign.rest import RestClient
TELEBUREAU_CREATE_RESOURCE = "/v1/telebureau/event"
TELEBUREAU_RETRIEVE_RESOURCE = "/v1/telebureau/event/{reference_id}"
TELEBUREAU_DELETE_RESOURCE = "/v1/telebureau/event/{reference_id}"
class TelebureauClient(RestClient):
"""
Tel... | 44.627451 | 119 | 0.692882 | 2,006 | 0.881371 | 0 | 0 | 0 | 0 | 0 | 0 | 1,182 | 0.519332 |
3b590c3afdc8778783a821b7e7abd8d729518eda | 6,099 | py | Python | old_combine_chrX.py | nikbaya/chrX | 9d7859c60ecf35a5db13b973a7d2e44472a08ca6 | [
"MIT"
] | null | null | null | old_combine_chrX.py | nikbaya/chrX | 9d7859c60ecf35a5db13b973a7d2e44472a08ca6 | [
"MIT"
] | null | null | null | old_combine_chrX.py | nikbaya/chrX | 9d7859c60ecf35a5db13b973a7d2e44472a08ca6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 24 11:26:20 2018
@author: nbaya
"""
import os
import glob
import re
import pandas as pd
from subprocess import call
from joblib import Parallel, delayed
import multiprocessing
import sys
import numpy as np
v3_path = "/Users/nbaya/Documents/lab/u... | 42.950704 | 178 | 0.61174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,820 | 0.626332 |
3b59fa3ba836f14bb8c826edd251c3f03ed8f395 | 120 | py | Python | 2019_skoltech_ISP/01_beginning/sec03/code/s3/code.py | Lavton/latexLectures | f8491351b2f74884689db24bbce2aa2270fa556a | [
"MIT"
] | 5 | 2019-01-11T08:19:44.000Z | 2020-11-24T11:30:48.000Z | 2019_skoltech_ISP/01_beginning/sec03/code/s3/code.py | Lavton/latexLectures | f8491351b2f74884689db24bbce2aa2270fa556a | [
"MIT"
] | null | null | null | 2019_skoltech_ISP/01_beginning/sec03/code/s3/code.py | Lavton/latexLectures | f8491351b2f74884689db24bbce2aa2270fa556a | [
"MIT"
] | 1 | 2019-01-20T17:52:16.000Z | 2019-01-20T17:52:16.000Z | import time
def f(x):
pass
if __name__ == "__main__":
# execute only if
# run as a script
f("oo") | 13.333333 | 26 | 0.541667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 0.408333 |
3b5c8b09c6cb6d3ec45d0c7c7a5e7ddb300c6483 | 749 | py | Python | Number of Connected Components in an Undirected Graph.py | quake0day/oj | c09333d1738f8735de0d5d825db6f4b707585670 | [
"MIT"
] | null | null | null | Number of Connected Components in an Undirected Graph.py | quake0day/oj | c09333d1738f8735de0d5d825db6f4b707585670 | [
"MIT"
] | null | null | null | Number of Connected Components in an Undirected Graph.py | quake0day/oj | c09333d1738f8735de0d5d825db6f4b707585670 | [
"MIT"
] | null | null | null | class Solution(object):
def countComponents(self, n, edges):
"""
:type n: int
:type edges: List[List[int]]
:rtype: int
"""
id_ = [i for i in xrange(n)]
start = 0
for edge in edges:
i = self.root(id_, edge[0])
j = self.root... | 23.40625 | 60 | 0.432577 | 615 | 0.821095 | 0 | 0 | 0 | 0 | 0 | 0 | 93 | 0.124166 |
3b5cff844879ff6c055ff9188fef15716ede158b | 315 | py | Python | 0x03-python-data_structures/10-divisible_by_2.py | oluwaseun-ebenezer/holbertonschool-higher_level_programming | e830f969d3ca71abf0a2f6d4f7c64a82337eccd7 | [
"MIT"
] | null | null | null | 0x03-python-data_structures/10-divisible_by_2.py | oluwaseun-ebenezer/holbertonschool-higher_level_programming | e830f969d3ca71abf0a2f6d4f7c64a82337eccd7 | [
"MIT"
] | null | null | null | 0x03-python-data_structures/10-divisible_by_2.py | oluwaseun-ebenezer/holbertonschool-higher_level_programming | e830f969d3ca71abf0a2f6d4f7c64a82337eccd7 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# 10-divisible_by_2.py
def divisible_by_2(my_list=[]):
"""Find all multiples of 2 in a list."""
multiples = []
for i in range(len(my_list)):
if my_list[i] % 2 == 0:
multiples.append(True)
else:
multiples.append(False)
return (multiples)
| 21 | 44 | 0.574603 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0.253968 |
3b5ddff9ef42a515de33ea1b93647ccd8e085a02 | 270 | py | Python | sema/gen-arm.py | ychen306/vegen | fb979a9d55f95110cc56ac54b1becf88de5ef6d0 | [
"MIT"
] | 10 | 2021-05-27T20:31:36.000Z | 2022-02-21T20:48:12.000Z | sema/gen-arm.py | ychen306/intrinsics-semantics | 517cc090bdec89b254370cf652752e82de19a3f8 | [
"MIT"
] | 19 | 2021-05-27T18:58:02.000Z | 2021-05-27T18:58:05.000Z | sema/gen-arm.py | ychen306/vegen | fb979a9d55f95110cc56ac54b1becf88de5ef6d0 | [
"MIT"
] | 6 | 2021-06-03T05:41:05.000Z | 2021-12-24T09:21:36.000Z | import codegen
from arm.insts import arm_insts
with open('InstSema.arm.cpp', 'w') as f:
codegen.emit_instruction_bindings(arm_insts, 'ArmInsts', f)
with open('InstWrappers.arm.c', 'w') as f:
f.write('#include <arm_neon.h>\n')
codegen.emit_wrappers(arm_insts, f)
| 27 | 61 | 0.72963 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 79 | 0.292593 |
3b5e8dad9b7d75c51ac3e7b6542b8df80237881b | 5,045 | py | Python | catalyst_utils/views/api.py | uw-it-aca/catalyst-utils | 8f529758098021a76c28caa71f78a4b2d3232c1a | [
"Apache-2.0"
] | null | null | null | catalyst_utils/views/api.py | uw-it-aca/catalyst-utils | 8f529758098021a76c28caa71f78a4b2d3232c1a | [
"Apache-2.0"
] | 107 | 2021-11-10T01:13:22.000Z | 2022-03-31T18:07:49.000Z | catalyst_utils/views/api.py | uw-it-aca/catalyst-utils | 8f529758098021a76c28caa71f78a4b2d3232c1a | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 UW-IT, University of Washington
# SPDX-License-Identifier: Apache-2.0
from django.http import HttpResponse
from django.views import View
from django.utils.decorators import method_decorator
from django.contrib.auth.decorators import login_required
from django.core.exceptions import ObjectDoesNotExist
... | 36.294964 | 78 | 0.619425 | 4,415 | 0.875124 | 0 | 0 | 1,337 | 0.265015 | 0 | 0 | 490 | 0.097126 |
3b5ebc48c31589e68720d58ebad1837a1abc4854 | 19,172 | py | Python | src/Common/Constants.py | rpgauthier/ComputationalThematicAnalysisToolkit | b615cd92565dcc197f156c0b792fec6892ffe9a4 | [
"MIT"
] | null | null | null | src/Common/Constants.py | rpgauthier/ComputationalThematicAnalysisToolkit | b615cd92565dcc197f156c0b792fec6892ffe9a4 | [
"MIT"
] | 24 | 2021-11-15T17:07:31.000Z | 2022-02-09T22:38:50.000Z | src/Common/Constants.py | rpgauthier/ComputationalThematicAnalysisToolkit | b615cd92565dcc197f156c0b792fec6892ffe9a4 | [
"MIT"
] | null | null | null | '''Constants for MachineThematicAnalysis Toolkit'''
import sys
import os
import shutil
import platform
import wx
#import wx.lib.agw.flatnotebook as FNB
import External.wxPython.flatnotebook_fix as FNB
CUR_VER = '0.8.11'
#Variables to configure GUI
FNB_STYLE = FNB.FNB_DEFAULT_STYLE|FNB.FNB_HIDE_ON_SINGLE_TAB|FNB.FNB_N... | 38.575453 | 146 | 0.573075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9,960 | 0.519508 |
3b5ef9b26978b78dba17bd6822a33ab2c317e67a | 2,421 | py | Python | src/pylol_simulator/champion.py | ABostrom/pylol-simulator | 1e47dd277a1c61782e6eb9a6edc4fd9512431dbe | [
"MIT"
] | 1 | 2021-05-17T17:33:52.000Z | 2021-05-17T17:33:52.000Z | src/pylol_simulator/champion.py | ABostrom/pylol-simulator | 1e47dd277a1c61782e6eb9a6edc4fd9512431dbe | [
"MIT"
] | null | null | null | src/pylol_simulator/champion.py | ABostrom/pylol-simulator | 1e47dd277a1c61782e6eb9a6edc4fd9512431dbe | [
"MIT"
] | 1 | 2021-03-26T14:49:51.000Z | 2021-03-26T14:49:51.000Z | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Any
from .stats import Stats
from functools import partial
class Champion:
def __init__(self, name, level=1, ad=0, ap=0,base_aspd=0, as_ratio=0, cs=0, csd=175, ar=0, mr=0, hp=0,
ad_grow... | 34.585714 | 112 | 0.64684 | 1,624 | 0.670797 | 0 | 0 | 0 | 0 | 0 | 0 | 257 | 0.106154 |
3b5f690aac3be1062b2477233f74cd76f3202d48 | 2,816 | py | Python | plugin.video.unified.search/search_db.py | mrstealth/kodi-isengard | 2f37ba5320c1618fbe635f5683e7329a63195c16 | [
"MIT"
] | null | null | null | plugin.video.unified.search/search_db.py | mrstealth/kodi-isengard | 2f37ba5320c1618fbe635f5683e7329a63195c16 | [
"MIT"
] | null | null | null | plugin.video.unified.search/search_db.py | mrstealth/kodi-isengard | 2f37ba5320c1618fbe635f5683e7329a63195c16 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Writer (c) 2012, MrStealth
# Rev. 1.1.1
# License: Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
# -*- coding: utf-8 -*-
import os
import sqlite3 as sqlite
import xbmcaddon
__addon__ = xbmcaddon.Addon(id='plugin.video.unified.search')
addon_path = __addon__.getAddonInfo('path... | 32.744186 | 109 | 0.627486 | 2,490 | 0.884233 | 0 | 0 | 0 | 0 | 0 | 0 | 767 | 0.272372 |
3b5f835cc06515c390b13c5d1221de5dc5ebb27d | 784 | py | Python | examples/longify.py | hmckenzie/tea-lang | d88d63ea600c387d086d19bcb0c9ae54cc78cb68 | [
"Apache-2.0"
] | null | null | null | examples/longify.py | hmckenzie/tea-lang | d88d63ea600c387d086d19bcb0c9ae54cc78cb68 | [
"Apache-2.0"
] | null | null | null | examples/longify.py | hmckenzie/tea-lang | d88d63ea600c387d086d19bcb0c9ae54cc78cb68 | [
"Apache-2.0"
] | null | null | null | '''
Author: Eunice Jun (@emjun)
Date created: November, 4, 2019
Purpose: Transform a wide format dataset into long format
Use: python3 longify.py <data_in_wide_format.csv>
'''
import sys
import csv
import pandas as pd
if __name__ == "__main__":
if len(sys.argv) != 2:
print("Misusing script. Must include... | 29.037037 | 114 | 0.640306 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 408 | 0.520408 |
3b607bc698224eb54df1cdcf13257fe7d16f4a93 | 2,241 | py | Python | akhelpers/Resnet_AK.py | sahilparekh/autokeras-models | 237b9900fbe83ef8f9882b257f01986289647797 | [
"MIT"
] | null | null | null | akhelpers/Resnet_AK.py | sahilparekh/autokeras-models | 237b9900fbe83ef8f9882b257f01986289647797 | [
"MIT"
] | null | null | null | akhelpers/Resnet_AK.py | sahilparekh/autokeras-models | 237b9900fbe83ef8f9882b257f01986289647797 | [
"MIT"
] | null | null | null | import autokeras as ak
from tensorflow.python.util import nest
from tf2cv.models.resnet import ResNet
LAYER_OPTIONS = [[1, 1, 1, 1], [2, 1, 1, 1], [2, 2, 1, 1], [2, 2, 2, 1], [2, 2, 2, 2], [3, 3, 3, 3],
[3, 4, 6, 3]]
class CustomResnetBlock(ak.Block):
def __init__(self, in_size=(224, 22... | 36.737705 | 106 | 0.599732 | 1,994 | 0.889781 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0.059349 |
3b60d399770654bd26d7c840b7fc93de1223aa09 | 766 | py | Python | Codes/data_convertor/change_text_labels.py | AmiirGholamii/semantic-segmentation | 16426afdcf9ef2449d5bc3cb86ca1c269e517dab | [
"MIT"
] | 2 | 2021-05-14T07:44:24.000Z | 2021-05-19T04:48:03.000Z | Codes/data_convertor/change_text_labels.py | AmiirGholamii/semantic-segmentation | 16426afdcf9ef2449d5bc3cb86ca1c269e517dab | [
"MIT"
] | null | null | null | Codes/data_convertor/change_text_labels.py | AmiirGholamii/semantic-segmentation | 16426afdcf9ef2449d5bc3cb86ca1c269e517dab | [
"MIT"
] | null | null | null | import os
import cv2
import numpy as np
directory = "/home/rider/DataSets/Images/Development/humanoid_soccer_dataset/ScreenshotMasks"
for filename in os.listdir(directory):
if filename.endswith(".txt"):
blank_image = np.zeros((480,640), np.uint8)
with open(os.path.join(directory, filename)) as f:
... | 38.3 | 93 | 0.614883 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 144 | 0.18799 |
3b63d4b72d8214c1ed9a2a8335427946263ee241 | 3,524 | py | Python | src/python/serif/theory/serif_entity_theory.py | BBN-E/text-open | c508f6caeaa51a43cdb0bc27d8ed77e5750fdda9 | [
"Apache-2.0"
] | 2 | 2022-03-24T14:37:51.000Z | 2022-03-24T19:56:45.000Z | src/python/serif/theory/serif_entity_theory.py | BBN-E/text-open | c508f6caeaa51a43cdb0bc27d8ed77e5750fdda9 | [
"Apache-2.0"
] | null | null | null | src/python/serif/theory/serif_entity_theory.py | BBN-E/text-open | c508f6caeaa51a43cdb0bc27d8ed77e5750fdda9 | [
"Apache-2.0"
] | null | null | null | import sys, os
from serif.theory.serif_theory import SerifTheory
from serif.theory.enumerated_type import MentionType
from serif.util.serifxml_utils import CountryIdentifier
class SerifEntityTheory(SerifTheory):
def num_mentions(self):
"""Returns the number or mentions in this Entity"""
return l... | 37.094737 | 77 | 0.619467 | 3,346 | 0.949489 | 0 | 0 | 0 | 0 | 0 | 0 | 780 | 0.221339 |
3b64724299180dfee117b079d18e0e4f7989c571 | 169 | py | Python | 1 - Beginner/2763.py | andrematte/uri-submissions | 796e7fee56650d9e882880318d6e7734038be2dc | [
"MIT"
] | 1 | 2020-09-09T12:48:09.000Z | 2020-09-09T12:48:09.000Z | 1 - Beginner/2763.py | andrematte/uri-submissions | 796e7fee56650d9e882880318d6e7734038be2dc | [
"MIT"
] | null | null | null | 1 - Beginner/2763.py | andrematte/uri-submissions | 796e7fee56650d9e882880318d6e7734038be2dc | [
"MIT"
] | null | null | null | # URI Online Judge
CPF = input().split('.')
XXX, YYY = CPF[0], CPF[1]
ZZZ, DD = CPF[2].split('-')[0], CPF[2].split('-')[1]
print(XXX)
print(YYY)
print(ZZZ)
print(DD)
| 14.083333 | 52 | 0.573964 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.159763 |
3b64d23b87d1099b18fa084331257778ef9465f0 | 1,655 | py | Python | scripts/bing-images-downloader.py | ZZY2357/auto-workflow | bea6f0c67da524fd08cbf282ea72d821f8d1c9ea | [
"MIT"
] | null | null | null | scripts/bing-images-downloader.py | ZZY2357/auto-workflow | bea6f0c67da524fd08cbf282ea72d821f8d1c9ea | [
"MIT"
] | null | null | null | scripts/bing-images-downloader.py | ZZY2357/auto-workflow | bea6f0c67da524fd08cbf282ea72d821f8d1c9ea | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import requests
from bs4 import BeautifulSoup
import os
import base64
keyword = input('What do you want? ')
save_floder = input('Where do you want to save images?(Default as the current directory) ')
if save_floder == '': save_floder = os.getcwd()
if not os.path.exists(save_floder): os.mkdir(sa... | 34.479167 | 135 | 0.647734 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 725 | 0.438066 |
3b6ac29e4ec13d34dbb79b65c428b5255729e775 | 7,313 | py | Python | webex_adaptive_card.py | oborys/webex_card_bot | 823a2a1eca356a5f9e2a1158209c6ce8f715a5cf | [
"MIT"
] | null | null | null | webex_adaptive_card.py | oborys/webex_card_bot | 823a2a1eca356a5f9e2a1158209c6ce8f715a5cf | [
"MIT"
] | null | null | null | webex_adaptive_card.py | oborys/webex_card_bot | 823a2a1eca356a5f9e2a1158209c6ce8f715a5cf | [
"MIT"
] | null | null | null | from flask import Flask, request
import requests
import json
import configparser
from api_interaction import *
# read variables from config
credential = configparser.ConfigParser()
credential.read('cred.prod')
# Import credential
bearer_bot = credential['Webex']['WEBEX_TEAMS_TOKEN']
botEmail = credential['Webex']['... | 41.551136 | 188 | 0.633803 | 0 | 0 | 0 | 0 | 2,900 | 0.396554 | 0 | 0 | 2,595 | 0.354848 |
3b6b8fe5725c66cf7e2178e79e839a7f75612950 | 453 | py | Python | handlers/file_handler.py | jstriebel/ai-car | 9e4a3b10053effa0660077d97f1ad119dcfb0174 | [
"MIT"
] | 1 | 2017-08-14T16:22:15.000Z | 2017-08-14T16:22:15.000Z | handlers/file_handler.py | jstriebel/ai-car | 9e4a3b10053effa0660077d97f1ad119dcfb0174 | [
"MIT"
] | 1 | 2017-08-12T16:44:46.000Z | 2017-08-13T15:54:00.000Z | handlers/file_handler.py | jstriebel/ai-car | 9e4a3b10053effa0660077d97f1ad119dcfb0174 | [
"MIT"
] | 3 | 2017-10-07T14:56:30.000Z | 2021-04-09T15:47:01.000Z | from aiohttp import web, WSMsgType
import asyncio
from handlers.handler import Handler
class FileHandler(Handler):
def __init__(self, file):
self.file = file
@asyncio.coroutine
def handle(self, request):
with open(self.file, "rt") as file:
return web.Response(text=file.read(),... | 22.65 | 75 | 0.660044 | 363 | 0.801325 | 0 | 0 | 169 | 0.373068 | 0 | 0 | 15 | 0.033113 |
3b6b9817cbd176268a7a34bd88ce4df0849e1e97 | 798 | py | Python | library/ftx/asyncronous/account.py | danyanyam/ftx | 32076bc1135e5a1e2bc800f4fff8dff9d7da18f1 | [
"MIT"
] | 2 | 2021-09-23T22:59:24.000Z | 2021-09-24T05:49:35.000Z | library/ftx/asyncronous/account.py | danyanyam/ftx | 32076bc1135e5a1e2bc800f4fff8dff9d7da18f1 | [
"MIT"
] | null | null | null | library/ftx/asyncronous/account.py | danyanyam/ftx | 32076bc1135e5a1e2bc800f4fff8dff9d7da18f1 | [
"MIT"
] | null | null | null | from library.ftx.base import AsyncBaseApiClass
class Account(AsyncBaseApiClass):
"""https://docs.ftx.com/#account"""
def __init__(self, api_key: str, secret_key: str, subaccount_name: str = None):
super().__init__(api_key, secret_key, subaccount_name)
async def get_account_information(self):
... | 38 | 84 | 0.669173 | 749 | 0.938596 | 0 | 0 | 0 | 0 | 510 | 0.639098 | 247 | 0.309524 |
3b709158cf14b1839d6b152a591a9ecf2fc0b0d2 | 141 | py | Python | torchexpo/nlp/sentiment_analysis/__init__.py | torchexpo/torchexpo | 88c875358e830065ee23f49f47d4995b5b2d3e3c | [
"Apache-2.0"
] | 23 | 2020-09-08T05:08:46.000Z | 2021-08-12T07:16:53.000Z | torchexpo/nlp/sentiment_analysis/__init__.py | torchexpo/torchexpo | 88c875358e830065ee23f49f47d4995b5b2d3e3c | [
"Apache-2.0"
] | 1 | 2021-12-05T06:15:18.000Z | 2021-12-20T08:10:19.000Z | torchexpo/nlp/sentiment_analysis/__init__.py | torchexpo/torchexpo | 88c875358e830065ee23f49f47d4995b5b2d3e3c | [
"Apache-2.0"
] | 2 | 2021-01-12T06:10:53.000Z | 2021-07-24T08:21:59.000Z | from torchexpo.nlp.sentiment_analysis.electra import (electra_imdb)
from torchexpo.nlp.sentiment_analysis.distilbert import (distilbert_imdb) | 70.5 | 73 | 0.879433 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3b70d07c097a322f4e0382c3338d3a649bb81b52 | 14,185 | py | Python | itracker/pipeline/preprocess.py | djpetti/isl-gazecapture | de0d955d25640facc5d72099fa92a4391643b405 | [
"MIT"
] | 12 | 2018-04-14T11:27:52.000Z | 2020-11-11T09:18:04.000Z | itracker/pipeline/preprocess.py | Misby/isl-gazecapture | de0d955d25640facc5d72099fa92a4391643b405 | [
"MIT"
] | 6 | 2018-11-10T22:07:16.000Z | 2020-07-23T09:30:18.000Z | itracker/pipeline/preprocess.py | Misby/isl-gazecapture | de0d955d25640facc5d72099fa92a4391643b405 | [
"MIT"
] | 5 | 2018-11-10T21:04:43.000Z | 2020-08-21T03:14:02.000Z | import collections
import copy
import tensorflow as tf
class Pipeline(object):
""" A linear sequence of stages that perform operations on an input. """
# Magic number that we use to differentiate pipeline instances. For our
# purposes, if two references point to the same underlying object, they are
# the sa... | 30.439914 | 81 | 0.683609 | 14,096 | 0.993726 | 0 | 0 | 0 | 0 | 0 | 0 | 6,481 | 0.456891 |
3b70e4c1e7bc801d960c67b7f02acbf422800456 | 11,178 | py | Python | consensus_and_profile.py | ivanmilevtues/BioInformatic | 5cb8f3a51f08d6a39732ec2feecc531e11f97797 | [
"MIT"
] | null | null | null | consensus_and_profile.py | ivanmilevtues/BioInformatic | 5cb8f3a51f08d6a39732ec2feecc531e11f97797 | [
"MIT"
] | null | null | null | consensus_and_profile.py | ivanmilevtues/BioInformatic | 5cb8f3a51f08d6a39732ec2feecc531e11f97797 | [
"MIT"
] | null | null | null | import pprint
def parse_input(data):
result = {}
for el in data.split('>'):
if el =='\n':
continue
result[el[:14]] = el[14:].strip().replace('\n', '')
pprint.pprint(result)
return result
def make_profile(data):
dna_strings = []
for _, v in data.items():
... | 47.364407 | 60 | 0.926552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9,896 | 0.88531 |
3b711e81bde81605c4cf014bb035a361cda07ea2 | 1,083 | py | Python | backend/tests/python_api_mulltiuser_check/User.py | prisms-center/materialscommons.org | 421bd977dc83dc572a60606b5e3c1d8f2b0a7566 | [
"MIT"
] | 6 | 2015-09-25T20:07:30.000Z | 2021-03-07T02:41:35.000Z | backend/tests/python_api_mulltiuser_check/User.py | materials-commons/materialscommons.org | 421bd977dc83dc572a60606b5e3c1d8f2b0a7566 | [
"MIT"
] | 770 | 2015-03-04T17:13:31.000Z | 2019-05-03T13:55:57.000Z | backend/tests/python_api_mulltiuser_check/User.py | prisms-center/materialscommons.org | 421bd977dc83dc572a60606b5e3c1d8f2b0a7566 | [
"MIT"
] | 3 | 2016-06-23T19:36:20.000Z | 2020-09-06T12:26:00.000Z | import rethinkdb as r
from pbkdf2 import crypt
import uuid
class User(object):
def __init__(self, name, email, password):
self.name = name
self.email = email
self.fullname = name
self.password = password
self.id = email
self.apikey = uuid.uuid1().hex
self.bi... | 25.785714 | 62 | 0.591874 | 697 | 0.643583 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0.023084 |
3b71296702232873c1e4f5d1eea517c841d75064 | 2,980 | py | Python | slixmpp/plugins/xep_0319/idle.py | anirudhrata/slixmpp | 1fcee0e80a212eeb274d2f560e69099d8a61bf7f | [
"BSD-3-Clause"
] | 86 | 2016-07-04T13:26:02.000Z | 2022-02-19T10:26:21.000Z | slixmpp/plugins/xep_0319/idle.py | anirudhrata/slixmpp | 1fcee0e80a212eeb274d2f560e69099d8a61bf7f | [
"BSD-3-Clause"
] | 10 | 2016-09-30T18:55:41.000Z | 2020-05-01T14:22:47.000Z | slixmpp/plugins/xep_0319/idle.py | anirudhrata/slixmpp | 1fcee0e80a212eeb274d2f560e69099d8a61bf7f | [
"BSD-3-Clause"
] | 45 | 2016-09-30T18:48:41.000Z | 2022-03-18T21:39:33.000Z |
# Slixmpp: The Slick XMPP Library
# Copyright (C) 2013 Nathanael C. Fritz, Lance J.T. Stout
# This file is part of Slixmpp.
# See the file LICENSE for copying permission.
from datetime import datetime, timezone
from typing import Optional
from slixmpp import JID
from slixmpp.stanza import Presence
from slixmpp.plugi... | 33.483146 | 84 | 0.655034 | 2,357 | 0.79094 | 0 | 0 | 0 | 0 | 1,130 | 0.379195 | 688 | 0.230872 |
3b713daf543427117e79a8f8e7805cb3d4baae6c | 4,687 | py | Python | modules/ImageMagickInterface.py | CollinHeist/TitleCardMaker | a5e90b81177e47d565bb47ed429dbf46d8d696f0 | [
"MIT"
] | 5 | 2022-01-09T09:51:39.000Z | 2022-03-05T15:00:07.000Z | modules/ImageMagickInterface.py | CollinHeist/TitleCardMaker | a5e90b81177e47d565bb47ed429dbf46d8d696f0 | [
"MIT"
] | 17 | 2022-02-14T17:50:51.000Z | 2022-03-30T03:44:06.000Z | modules/ImageMagickInterface.py | CollinHeist/TitleCardMaker | a5e90b81177e47d565bb47ed429dbf46d8d696f0 | [
"MIT"
] | 1 | 2022-01-14T15:08:08.000Z | 2022-01-14T15:08:08.000Z | from shlex import split as command_split
from subprocess import Popen, PIPE
from modules.Debug import log
class ImageMagickInterface:
"""
This class describes an interface to ImageMagick. If initialized with a
valid docker container (name or ID), then all given ImageMagick commands
will be run through... | 33.241135 | 82 | 0.590356 | 4,575 | 0.976104 | 0 | 0 | 613 | 0.130787 | 0 | 0 | 2,904 | 0.619586 |
3b71dd0e376b1aea6b14bf0dfc56584ed3214480 | 3,939 | py | Python | domainbed/lib/Dataset_All.py | zhaoxin94/DomainBed | f880b13a6be82829c7b7c519a7cca54439bda524 | [
"MIT"
] | null | null | null | domainbed/lib/Dataset_All.py | zhaoxin94/DomainBed | f880b13a6be82829c7b7c519a7cca54439bda524 | [
"MIT"
] | null | null | null | domainbed/lib/Dataset_All.py | zhaoxin94/DomainBed | f880b13a6be82829c7b7c519a7cca54439bda524 | [
"MIT"
] | null | null | null | import random
from math import sqrt
import numpy as np
from torch.utils.data import ConcatDataset, Dataset
from torchvision import transforms
class DatasetAll_FDA(Dataset):
"""
Combine Seperated Datasets
"""
def __init__(self, data_list, alpha=1.0):
self.data = ConcatDataset(data_list)
... | 32.553719 | 117 | 0.561056 | 3,790 | 0.962173 | 0 | 0 | 0 | 0 | 0 | 0 | 233 | 0.059152 |
3b7212e943144c40fd414a0c21cddccd27fe23a0 | 5,108 | py | Python | vision/follow-line/actions.py | ThePBone/RobomasterCheatsheet | 14089f4a20d72700e653e291137a4cbc9d13b694 | [
"MIT"
] | 4 | 2022-02-08T21:53:57.000Z | 2022-03-27T21:28:20.000Z | vision/follow-line/actions.py | ThePBone/RobomasterCheatsheet | 14089f4a20d72700e653e291137a4cbc9d13b694 | [
"MIT"
] | null | null | null | vision/follow-line/actions.py | ThePBone/RobomasterCheatsheet | 14089f4a20d72700e653e291137a4cbc9d13b694 | [
"MIT"
] | null | null | null | import math
import time
from scipy import interpolate
from threading import Lock
from abc import abstractmethod
from library.pid import PID
from stack import ActionStack
class BaseAction:
@abstractmethod
def undo(self):
pass
@staticmethod
def is_checkpoint():
return False
class Chec... | 27.462366 | 115 | 0.583594 | 4,921 | 0.96226 | 0 | 0 | 309 | 0.060422 | 0 | 0 | 981 | 0.191826 |
3b722402e45e22ead2f85ea3f8f782a3a420b3f1 | 19,001 | py | Python | Main.py | PositivePeriod/Touchable | 8ecb69bd72f16bc0c244c2e983316659d2db1eb5 | [
"MIT"
] | 1 | 2020-07-24T19:29:24.000Z | 2020-07-24T19:29:24.000Z | Main.py | PositivePeriod/Touchable | 8ecb69bd72f16bc0c244c2e983316659d2db1eb5 | [
"MIT"
] | 2 | 2022-01-13T03:01:41.000Z | 2022-03-12T00:40:55.000Z | Main.py | PositivePeriod/Touchable | 8ecb69bd72f16bc0c244c2e983316659d2db1eb5 | [
"MIT"
] | null | null | null | from Canvas import Canvas
from Detector import Detector
from GUI import GUI
from Tracker import Tracker
from Function import *
from Video import Video
from Pen import Pens
from Key import Key
from Image import ImageManager
import tkinter
import tkinter.messagebox
import tkinter.font
import tkinter.simpledialog
import ... | 48.471939 | 131 | 0.495132 | 18,634 | 0.980479 | 0 | 0 | 0 | 0 | 0 | 0 | 2,026 | 0.106604 |
3b735bebda012e00718401bc8e40ce311fbf1c60 | 2,292 | py | Python | backend/app/main.py | jonitoh/anonymizer-standalone | 46335e84cfa7e44aef299b087b6b4adad6380169 | [
"MIT"
] | null | null | null | backend/app/main.py | jonitoh/anonymizer-standalone | 46335e84cfa7e44aef299b087b6b4adad6380169 | [
"MIT"
] | null | null | null | backend/app/main.py | jonitoh/anonymizer-standalone | 46335e84cfa7e44aef299b087b6b4adad6380169 | [
"MIT"
] | null | null | null | """Main entry point of the application"""
from fastapi import FastAPI
from fastapi.responses import RedirectResponse
from fastapi.staticfiles import StaticFiles
from fastapi.middleware.cors import CORSMiddleware
from pymongo import MongoClient
from app.core.config import get_settings
from app.internal import create_ap... | 26.964706 | 86 | 0.676702 | 0 | 0 | 0 | 0 | 215 | 0.093805 | 0 | 0 | 759 | 0.331152 |
3b737ca1f860daa1879d93647b7707dac737931f | 1,057 | py | Python | SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Geometry/Two_Dimensional/Planform/wing_fuel_volume.py | Vinicius-Tanigawa/Undergraduate-Research-Project | e92372f07882484b127d7affe305eeec2238b8a9 | [
"MIT"
] | null | null | null | SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Geometry/Two_Dimensional/Planform/wing_fuel_volume.py | Vinicius-Tanigawa/Undergraduate-Research-Project | e92372f07882484b127d7affe305eeec2238b8a9 | [
"MIT"
] | null | null | null | SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Geometry/Two_Dimensional/Planform/wing_fuel_volume.py | Vinicius-Tanigawa/Undergraduate-Research-Project | e92372f07882484b127d7affe305eeec2238b8a9 | [
"MIT"
] | null | null | null | ## @ingroup Methods-Geometry-Two_Dimensional-Cross_Section-Planform
# wing_fuel_volume.py
#
# Created: Apr 2014, T. Orra
# Modified: Sep 2016, E. Botero
# ----------------------------------------------------------------------
# Correlation-based methods for wing fuel capacity estimation
# ---------------------------... | 25.166667 | 72 | 0.545885 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 801 | 0.757805 |
3b73dd9af423cd6336a9986151cd7a7b2c788948 | 4,559 | py | Python | bycycle/cyclepoints/zerox.py | ryanhammonds/bycycle | c285c5b1bf5de985cea3f0898bf8e2b01171feca | [
"Apache-2.0"
] | 48 | 2019-03-04T22:37:15.000Z | 2022-03-28T16:55:52.000Z | bycycle/cyclepoints/zerox.py | ryanhammonds/bycycle | c285c5b1bf5de985cea3f0898bf8e2b01171feca | [
"Apache-2.0"
] | 83 | 2019-02-01T19:09:23.000Z | 2022-01-10T20:27:29.000Z | bycycle/cyclepoints/zerox.py | ryanhammonds/bycycle | c285c5b1bf5de985cea3f0898bf8e2b01171feca | [
"Apache-2.0"
] | 15 | 2019-06-04T23:22:37.000Z | 2021-12-21T07:49:31.000Z | """Find zero-crossings for individual cycles."""
from operator import gt, lt
import numpy as np
###################################################################################################
###################################################################################################
def find_zerox(sig, ... | 34.022388 | 99 | 0.622286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,032 | 0.665058 |
3b748dc3c04a8889510b5571b932a02c2a3fcf64 | 334 | py | Python | OpenGLES/GLES/gles1.py | pome-ta/pystaGLES | f52b51dd1364f87b22a12d7527482b76e7fab0bb | [
"MIT"
] | null | null | null | OpenGLES/GLES/gles1.py | pome-ta/pystaGLES | f52b51dd1364f87b22a12d7527482b76e7fab0bb | [
"MIT"
] | null | null | null | OpenGLES/GLES/gles1.py | pome-ta/pystaGLES | f52b51dd1364f87b22a12d7527482b76e7fab0bb | [
"MIT"
] | null | null | null | # coding: utf-8
import ctypes
# from objc_util import *
#import headers.gl_c
#import headers.glext_c
from OpenGLES.GLES.headers.gl_c import *
from OpenGLES.GLES.headers.glext_c import *
#reload(headers.gl_c)
# reload(headers.glext_c)
# ObjCClass("NSBundle").bundleWithPath_("/System/Library/Frameworks/OpenGLES.framew... | 22.266667 | 95 | 0.778443 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 224 | 0.670659 |
3b78751e748e0c28eb4574bc2ceb68edf1932467 | 209 | py | Python | doc/_themes/__init__.py | embedded-devops/Flask-MQTT | bc3a625f14fb4ec8290bf151072c147497f3a0a0 | [
"MIT"
] | 64 | 2016-12-10T16:55:32.000Z | 2021-01-25T02:15:01.000Z | doc/_themes/__init__.py | embedded-devops/Flask-MQTT | bc3a625f14fb4ec8290bf151072c147497f3a0a0 | [
"MIT"
] | 2 | 2017-09-22T09:36:16.000Z | 2021-03-22T17:15:52.000Z | doc/_themes/__init__.py | embedded-devops/Flask-MQTT | bc3a625f14fb4ec8290bf151072c147497f3a0a0 | [
"MIT"
] | 10 | 2016-12-11T03:19:36.000Z | 2021-05-02T14:53:16.000Z | import os
__version__ = '1.0.1'
def get_path():
return os.path.abspath(os.path.dirname(__file__))
def setup(app):
return {
'version': __version__,
'parallel_read_safe': True
}
| 13.933333 | 53 | 0.62201 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0.172249 |
3b7983d4fc08bdb8cabe5630c5fbe52bc0adfdab | 552 | py | Python | Python-Files/PlotConsole2.py | edwinprojects/DotNet-Matplotlib-Wrapper | df5f9a3d2d0bc9d79dfb62e9690b9a12e3676efa | [
"Apache-2.0"
] | 1 | 2018-11-19T21:46:23.000Z | 2018-11-19T21:46:23.000Z | Python-Files/PlotConsole2.py | edwinprojects/DotNet-Matplotlib-Wrapper | df5f9a3d2d0bc9d79dfb62e9690b9a12e3676efa | [
"Apache-2.0"
] | null | null | null | Python-Files/PlotConsole2.py | edwinprojects/DotNet-Matplotlib-Wrapper | df5f9a3d2d0bc9d79dfb62e9690b9a12e3676efa | [
"Apache-2.0"
] | null | null | null | import matplotlib.pyplot as plt
fig = plt.figure(facecolor="#979899")
ax = plt.gca()
ax.set_facecolor("#d1d1d1")
plt.xticks([1,2,3,4,5],["11/13\nTue","11/14\nWed","11/15\nThu","11/16\nFri","11/17\nSat"])
plt.yticks([0.0,0.1,0.2,0.3,0.4,0.5],["0 %","0.1 %","0.2 %","0.3 %","0.4 %","0.5 %"])
x = [1,2,3,4,5]
y = [0.31,0... | 23 | 90 | 0.567029 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 172 | 0.311594 |
3b7ada4d94b476f49373c95f6b93102fb37d26b1 | 1,327 | py | Python | SampleModels/BasicModel/AnalyseDrifters.py | fearghalodonncha/DeepCurrent | 8dfb19b701a225ead61d6015d95c703478035ce0 | [
"MIT"
] | 32 | 2018-03-31T22:19:25.000Z | 2022-03-14T01:35:23.000Z | SampleModels/BasicModel/AnalyseDrifters.py | fearghalodonncha/DeepCurrent | 8dfb19b701a225ead61d6015d95c703478035ce0 | [
"MIT"
] | 2 | 2020-04-02T06:13:13.000Z | 2021-06-10T07:15:07.000Z | SampleModels/BasicModel/AnalyseDrifters.py | fearghalodonncha/DeepCurrent | 8dfb19b701a225ead61d6015d95c703478035ce0 | [
"MIT"
] | 15 | 2018-06-27T02:55:23.000Z | 2021-09-09T07:51:23.000Z | import numpy as np
import matplotlib.pyplot as plt
def read_drifter(filename):
with open(filename) as f:
lines = f.readlines()
NPD = float(lines[3].split()[0]) ## NPD, number of particles specified on line 4
times_list = lines[4::2]
drifter_list = lines[5::2]
times_np = np.zeros([len(time... | 32.365854 | 86 | 0.568953 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 73 | 0.055011 |
3b7b8443e086f193aae994977d55ad1ff72e4870 | 9,013 | py | Python | src/trading_algorithm.py | Blocksize-Capital-GmbH/Quant-VM---Crypto-Arbitrage-Software | aefdab0a4a2ded2556bbf0289bdeb21a91da0b91 | [
"Apache-2.0"
] | 1 | 2022-03-20T14:34:51.000Z | 2022-03-20T14:34:51.000Z | src/trading_algorithm.py | Blocksize-Capital-GmbH/Quant-VM---Crypto-Arbitrage-Software | aefdab0a4a2ded2556bbf0289bdeb21a91da0b91 | [
"Apache-2.0"
] | null | null | null | src/trading_algorithm.py | Blocksize-Capital-GmbH/Quant-VM---Crypto-Arbitrage-Software | aefdab0a4a2ded2556bbf0289bdeb21a91da0b91 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import os
import json
import psycopg2
from typing import Dict, List, Tuple, Union
from abc import abstractmethod
import src.helpers
import src.util
from src.base_with_database_logger import BaseWithDatabaseAndLogger
from src.client.custom_sdk_client import CustomClient
from... | 39.704846 | 167 | 0.606235 | 8,640 | 0.958615 | 0 | 0 | 693 | 0.076889 | 0 | 0 | 1,202 | 0.133363 |
3b7be34d2eae28558aea122046d2a25855c0c455 | 3,705 | py | Python | tests/simulated_population.py | samplics-org/samplics | b5f49d075194cc24208f567e6a00e86aa24bec26 | [
"MIT"
] | 14 | 2021-05-03T19:59:58.000Z | 2022-03-27T18:58:36.000Z | tests/simulated_population.py | samplics-org/samplics | b5f49d075194cc24208f567e6a00e86aa24bec26 | [
"MIT"
] | 8 | 2021-06-17T01:13:01.000Z | 2022-03-27T18:31:15.000Z | tests/simulated_population.py | survey-methods/samplics | 4a0f6ea6168afb74c2ea2c958fb76c7d27dfba83 | [
"MIT"
] | 2 | 2020-05-28T20:09:48.000Z | 2021-01-19T17:34:22.000Z | import numpy as np
population_size = 35000000
admin1_nb = 10
admin1_share = np.array([0.005, 0.020, 0.045, 0.075, 0.095, 0.105, 0.125, 0.130, 0.150, 0.250])
admin1_size = admin1_share * population_size
if sum(admin1_share) != 1.000:
raise AssertionError("The admin level 1 shares must sum to 1")
# admin1 = np.r... | 23.449367 | 96 | 0.54386 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,034 | 0.279082 |
3b7c8242f0a3f98aedead8405d5ecb15fb807c54 | 1,656 | py | Python | scripts/merge_translations.py | okfde/eucopyright | fb17931eb04f62aac49d5c42a853b85341c00bdd | [
"MIT"
] | 1 | 2020-06-28T21:45:27.000Z | 2020-06-28T21:45:27.000Z | scripts/merge_translations.py | okfde/eucopyright | fb17931eb04f62aac49d5c42a853b85341c00bdd | [
"MIT"
] | null | null | null | scripts/merge_translations.py | okfde/eucopyright | fb17931eb04f62aac49d5c42a853b85341c00bdd | [
"MIT"
] | 1 | 2015-01-28T10:04:58.000Z | 2015-01-28T10:04:58.000Z | import sys
import yaml
def persona(old, new, overwrite_language):
old_t = old['translations']
new_t = new['translations']
for key in old_t:
if key in new_t and overwrite_language in new_t[key]:
old_t[key][overwrite_language] = new_t[key][overwrite_language]
def questions(old, new, ... | 36.8 | 118 | 0.650362 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 0.150966 |
3b7d46a7d84bbcd253aef586d838c02ab0106a29 | 449 | py | Python | page/views.py | YUND4/standar_herokuapp | a91981c236062721f32b76e4a61145800a481d64 | [
"MIT"
] | null | null | null | page/views.py | YUND4/standar_herokuapp | a91981c236062721f32b76e4a61145800a481d64 | [
"MIT"
] | null | null | null | page/views.py | YUND4/standar_herokuapp | a91981c236062721f32b76e4a61145800a481d64 | [
"MIT"
] | null | null | null | from django.views.generic import TemplateView, CreateView
from django.urls import reverse_lazy
from .models import Contact
class HomeView(TemplateView):
template_name = 'page/home.html'
class AboutView(TemplateView):
template_name = 'page/about.html'
class ContactView(CreateView):
template_name = 'page... | 24.944444 | 71 | 0.730512 | 318 | 0.708241 | 0 | 0 | 0 | 0 | 0 | 0 | 103 | 0.229399 |