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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d5f72b6bb8de932265e3494ed6520e23b33d2b72 | 705 | py | Python | p6e8.py | yannickbf-prog/python | da4bd2c8668966359b829a8ac2a896afeca2b150 | [
"MIT"
] | null | null | null | p6e8.py | yannickbf-prog/python | da4bd2c8668966359b829a8ac2a896afeca2b150 | [
"MIT"
] | null | null | null | p6e8.py | yannickbf-prog/python | da4bd2c8668966359b829a8ac2a896afeca2b150 | [
"MIT"
] | null | null | null | #Yannick p6e8 Escribe un programa que te pida primero un número y luego te pida números hasta que la suma de los números introducidos coincida con el número inicial. El programa termina escribiendo la lista de números.
limite = int(input("Escribe limite:"))
valores = int(input("Escribe un valor:"))
listavalore... | 30.652174 | 219 | 0.704965 | 100 | 705 | 4.97 | 0.51 | 0.04829 | 0.090543 | 0.044266 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003521 | 0.194326 | 705 | 22 | 220 | 32.045455 | 0.871479 | 0.307801 | 0 | 0.181818 | 0 | 0 | 0.340564 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.272727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d5f73b66aea43800edd9e2977d37ade872174872 | 1,574 | py | Python | .venv/lib/python3.8/site-packages/cleo/application.py | RivtLib/replit01 | ce1ae18b446a9c844f40e88a51c71fbc45ab3ad7 | [
"MIT"
] | 1 | 2020-08-07T16:09:57.000Z | 2020-08-07T16:09:57.000Z | .venv/lib/python3.8/site-packages/cleo/application.py | RivtLib/replit01 | ce1ae18b446a9c844f40e88a51c71fbc45ab3ad7 | [
"MIT"
] | null | null | null | .venv/lib/python3.8/site-packages/cleo/application.py | RivtLib/replit01 | ce1ae18b446a9c844f40e88a51c71fbc45ab3ad7 | [
"MIT"
] | null | null | null | from typing import Optional
from typing import Tuple
from clikit.console_application import ConsoleApplication
from .commands import BaseCommand
from .commands.completions_command import CompletionsCommand
from .config import ApplicationConfig
class Application(ConsoleApplication, object):
"""
A... | 29.148148 | 77 | 0.623888 | 168 | 1,574 | 5.75 | 0.375 | 0.021739 | 0.033126 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003509 | 0.275731 | 1,574 | 53 | 78 | 29.698113 | 0.84386 | 0.250953 | 0 | 0 | 0 | 0 | 0.00094 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.214286 | 0 | 0.464286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d5f7c879e6735f223e0344e0abf1f6975431be03 | 1,009 | py | Python | watcher/fly.py | cog-isa/htm-rl | baf5b67a11283d37165bf6a29d6808a234d6d98c | [
"MIT"
] | 1 | 2021-12-09T22:09:24.000Z | 2021-12-09T22:09:24.000Z | watcher/fly.py | cog-isa/htm-rl | baf5b67a11283d37165bf6a29d6808a234d6d98c | [
"MIT"
] | null | null | null | watcher/fly.py | cog-isa/htm-rl | baf5b67a11283d37165bf6a29d6808a234d6d98c | [
"MIT"
] | 1 | 2021-11-18T08:54:20.000Z | 2021-11-18T08:54:20.000Z | from utils.drawer import Drawer
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("name", help="the name of the datafile")
parser.add_argument("--size", help="width,height")
args = parser.parse_args()
if args.size is None:
width, height = 128... | 36.035714 | 120 | 0.663033 | 130 | 1,009 | 5.038462 | 0.384615 | 0.164886 | 0.091603 | 0.061069 | 0.177099 | 0.094656 | 0 | 0 | 0 | 0 | 0 | 0.013906 | 0.216056 | 1,009 | 27 | 121 | 37.37037 | 0.814159 | 0.024777 | 0 | 0 | 0 | 0 | 0.061162 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.095238 | 0 | 0.095238 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d5f85a460ddcb48e089b11f2309816efd46bb61e | 3,263 | py | Python | test/unit/test_structures.py | ourobouros/aws-encryption-sdk-python | 1d0e40de7fef1b1131127a6f8626ef6a60739289 | [
"Apache-2.0"
] | null | null | null | test/unit/test_structures.py | ourobouros/aws-encryption-sdk-python | 1d0e40de7fef1b1131127a6f8626ef6a60739289 | [
"Apache-2.0"
] | 1 | 2019-05-30T22:14:47.000Z | 2019-05-30T22:14:47.000Z | test/unit/test_structures.py | ourobouros/aws-encryption-sdk-python | 1d0e40de7fef1b1131127a6f8626ef6a60739289 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompa... | 37.505747 | 120 | 0.70426 | 388 | 3,263 | 5.695876 | 0.368557 | 0.044344 | 0.036199 | 0.045249 | 0.423077 | 0.320814 | 0.238009 | 0.217195 | 0.148869 | 0.148869 | 0 | 0.014296 | 0.185412 | 3,263 | 86 | 121 | 37.94186 | 0.817156 | 0.179896 | 0 | 0.163934 | 0 | 0 | 0.162091 | 0 | 0 | 0 | 0 | 0 | 0.016393 | 1 | 0.04918 | false | 0 | 0.065574 | 0 | 0.114754 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d5f884d302908ab9fba8e534f212148aba1c42a3 | 1,745 | py | Python | codes/utils/mygraph.py | CristianLazoQuispe/Datathon-Interbank-2020 | 54f5d11fe83eb5a8ea8284be13d96e9e12978354 | [
"MIT"
] | null | null | null | codes/utils/mygraph.py | CristianLazoQuispe/Datathon-Interbank-2020 | 54f5d11fe83eb5a8ea8284be13d96e9e12978354 | [
"MIT"
] | null | null | null | codes/utils/mygraph.py | CristianLazoQuispe/Datathon-Interbank-2020 | 54f5d11fe83eb5a8ea8284be13d96e9e12978354 | [
"MIT"
] | null | null | null | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
path_results = '../results/images/'
# this function receives a dataset with binary target and it will graph a hist of values
def graph_target(data,name="target",figsize=(6,4),title_name=None,color_text="white",save=False,name... | 51.323529 | 140 | 0.671633 | 281 | 1,745 | 4.060498 | 0.448399 | 0.039439 | 0.028922 | 0.022787 | 0.117441 | 0.08589 | 0.08589 | 0.08589 | 0.08589 | 0.08589 | 0 | 0.029472 | 0.163897 | 1,745 | 34 | 141 | 51.323529 | 0.75257 | 0.256734 | 0 | 0 | 0 | 0 | 0.109642 | 0 | 0.037037 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.148148 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d5f8c3fa603dfdb79ab13ebb13d4e8e23422a12c | 1,134 | py | Python | src/pretix/base/validators.py | td00/pretix | e31bd7600c85598de135f2eb5012e2f33fdb1d11 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/pretix/base/validators.py | td00/pretix | e31bd7600c85598de135f2eb5012e2f33fdb1d11 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/pretix/base/validators.py | td00/pretix | e31bd7600c85598de135f2eb5012e2f33fdb1d11 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2017-08-09T17:11:28.000Z | 2017-08-09T17:11:28.000Z | from django.core.exceptions import ValidationError
from django.utils.deconstruct import deconstructible
from django.utils.translation import ugettext_lazy as _
class BlacklistValidator:
blacklist = []
def __call__(self, value):
# Validation logic
if value in self.blacklist:
raise... | 20.618182 | 64 | 0.552028 | 82 | 1,134 | 7.426829 | 0.585366 | 0.049261 | 0.049261 | 0.151067 | 0.298851 | 0.19376 | 0 | 0 | 0 | 0 | 0 | 0.00534 | 0.339506 | 1,134 | 54 | 65 | 21 | 0.807744 | 0.014109 | 0 | 0.55814 | 0 | 0 | 0.197133 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0 | 0.069767 | 0 | 0.232558 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d5f8e7bbb353d3c7f7fae4eb9baaff7822b54512 | 32,192 | py | Python | fortnitepy/ext/commands/bot.py | gfdb/fortnitepy | 1cedbddee1f81c96fc60b586cd2c16398bc2d45f | [
"MIT"
] | 127 | 2019-07-15T15:55:30.000Z | 2022-03-22T07:39:29.000Z | fortnitepy/ext/commands/bot.py | xMistt/fortnitepy | c64d72572e188a938e0b39a6d1fd1e8ee4842d31 | [
"MIT"
] | 65 | 2019-07-15T22:48:35.000Z | 2022-01-30T05:18:36.000Z | fortnitepy/ext/commands/bot.py | xMistt/fortnitepy | c64d72572e188a938e0b39a6d1fd1e8ee4842d31 | [
"MIT"
] | 83 | 2019-07-18T12:37:58.000Z | 2022-03-19T20:56:47.000Z | """
The MIT License (MIT)
Copyright (c) 2015-present Rapptz
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the "Software"),
to deal in the Software without restriction, including without limitation
the rights to use, copy, modify, merg... | 35.02938 | 91 | 0.584493 | 3,747 | 32,192 | 4.906592 | 0.160128 | 0.017949 | 0.009791 | 0.004079 | 0.235409 | 0.199728 | 0.184607 | 0.162143 | 0.139951 | 0.127223 | 0 | 0.000375 | 0.337351 | 32,192 | 918 | 92 | 35.067538 | 0.861476 | 0.343191 | 0 | 0.218905 | 0 | 0 | 0.050784 | 0.001322 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067164 | false | 0.012438 | 0.054726 | 0.00995 | 0.18408 | 0.014925 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d5fa6f305d9e54a79de33a61c7eebe1b7c16b303 | 657 | py | Python | LeetCodeSolutions/python/64_Minimum_Path_Sum.py | ChuanleiGuo/AlgorithmsPlayground | 90b6287b742c8bfd3797540c408d679be2821a40 | [
"MIT"
] | 1 | 2017-03-27T13:38:37.000Z | 2017-03-27T13:38:37.000Z | LeetCodeSolutions/python/64_Minimum_Path_Sum.py | ChuanleiGuo/AlgorithmsPlayground | 90b6287b742c8bfd3797540c408d679be2821a40 | [
"MIT"
] | null | null | null | LeetCodeSolutions/python/64_Minimum_Path_Sum.py | ChuanleiGuo/AlgorithmsPlayground | 90b6287b742c8bfd3797540c408d679be2821a40 | [
"MIT"
] | null | null | null | class Solution(object):
def minPathSum(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
m, n = len(grid), len(grid[0])
dp = [[0] * n for _ in range(m)]
for i in range(m):
for j in range(n):
if i == 0 and j == 0:
... | 31.285714 | 75 | 0.340944 | 98 | 657 | 2.27551 | 0.285714 | 0.080717 | 0.107623 | 0.143498 | 0.255605 | 0.219731 | 0.125561 | 0.125561 | 0.125561 | 0 | 0 | 0.04023 | 0.47032 | 657 | 20 | 76 | 32.85 | 0.600575 | 0.059361 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d5fad574122cf8647545ad83e7dc43147679cc22 | 1,129 | py | Python | paths_win.py | tankbusta/rescache | 86ca7f3fb66e28a8761f0995a300f57a73a9561d | [
"MIT"
] | 15 | 2015-03-05T17:03:08.000Z | 2022-01-28T07:49:38.000Z | paths_win.py | tankbusta/rescache | 86ca7f3fb66e28a8761f0995a300f57a73a9561d | [
"MIT"
] | null | null | null | paths_win.py | tankbusta/rescache | 86ca7f3fb66e28a8761f0995a300f57a73a9561d | [
"MIT"
] | 9 | 2015-03-06T09:56:30.000Z | 2017-11-07T00:24:17.000Z | import _winreg
import os
def get_shared_cache_folder():
"""
Look in the registry for the configured cache folder.
If there is no entry, then we create one.
:return:
"""
_winreg.aReg = _winreg.ConnectRegistry(None, _winreg.HKEY_CURRENT_USER)
try:
key = _winreg.OpenKey(_winreg.aReg, ... | 30.513514 | 84 | 0.70062 | 146 | 1,129 | 5.143836 | 0.417808 | 0.106525 | 0.043941 | 0.075899 | 0.23968 | 0.23968 | 0.186418 | 0 | 0 | 0 | 0 | 0.002212 | 0.199291 | 1,129 | 36 | 85 | 31.361111 | 0.82854 | 0.092117 | 0 | 0.173913 | 0 | 0 | 0.126873 | 0.064935 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.086957 | 0.043478 | 0.347826 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d5fd3faa9866127caab32ba61fdd34ab4ec39ea3 | 36,968 | py | Python | pyclicker/lib/python3.7/site-packages/Xlib/display.py | JayRovacsek/pyautoclick | e136a58c129332933eb8455dd7c8e16222d54fb2 | [
"MIT"
] | 1 | 2022-01-25T22:52:58.000Z | 2022-01-25T22:52:58.000Z | Xlib/display.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | Xlib/display.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | # Xlib.display -- high level display object
#
# Copyright (C) 2000 Peter Liljenberg <petli@ctrl-c.liu.se>
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public License
# as published by the Free Software Foundation; either version 2.1
# of the ... | 38.872766 | 123 | 0.599681 | 4,461 | 36,968 | 4.866174 | 0.171038 | 0.039525 | 0.033168 | 0.024185 | 0.215819 | 0.148747 | 0.113645 | 0.092731 | 0.072968 | 0.05187 | 0 | 0.005636 | 0.332801 | 36,968 | 950 | 124 | 38.913684 | 0.874478 | 0.425422 | 0 | 0.18797 | 0 | 0 | 0.015041 | 0 | 0 | 0 | 0 | 0 | 0.005013 | 1 | 0.172932 | false | 0.002506 | 0.035088 | 0 | 0.325815 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d5fd49cbaa7ded4b224914739446f1a0434a93af | 657 | py | Python | Others/qupc/qupc2014/c/main.py | KATO-Hiro/AtCoder | cbbdb18e95110b604728a54aed83a6ed6b993fde | [
"CC0-1.0"
] | 2 | 2020-06-12T09:54:23.000Z | 2021-05-04T01:34:07.000Z | Others/qupc/qupc2014/c/main.py | KATO-Hiro/AtCoder | cbbdb18e95110b604728a54aed83a6ed6b993fde | [
"CC0-1.0"
] | 961 | 2020-06-23T07:26:22.000Z | 2022-03-31T21:34:52.000Z | Others/qupc/qupc2014/c/main.py | KATO-Hiro/AtCoder | cbbdb18e95110b604728a54aed83a6ed6b993fde | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
def main():
from string import ascii_uppercase
n, m, q_large = map(int, input().split())
s = [list(input()) for _ in range(n)]
q = [input() for _ in range(q_large)]
pos = [None for _ in range(26)]
for i in range(n):
for j in range(m):
sij = s[i][j]... | 21.193548 | 50 | 0.47032 | 93 | 657 | 3.150538 | 0.430108 | 0.119454 | 0.102389 | 0.102389 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017073 | 0.375951 | 657 | 30 | 51 | 21.9 | 0.697561 | 0.031963 | 0 | 0 | 0 | 0 | 0.01735 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.047619 | 0 | 0.095238 | 0.095238 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d5fedd3bf29602a1334d3dbff567321747bbca26 | 4,652 | py | Python | analysis/notebooks/helper/anova.py | dpedrosac/DBSgait | 6df44cf975d43f9e932ef10144bfb7c1b5390b7b | [
"MIT"
] | 1 | 2021-09-29T05:53:38.000Z | 2021-09-29T05:53:38.000Z | analysis/notebooks/helper/anova.py | dpedrosac/DBSgait | 6df44cf975d43f9e932ef10144bfb7c1b5390b7b | [
"MIT"
] | null | null | null | analysis/notebooks/helper/anova.py | dpedrosac/DBSgait | 6df44cf975d43f9e932ef10144bfb7c1b5390b7b | [
"MIT"
] | 1 | 2021-09-22T08:48:47.000Z | 2021-09-22T08:48:47.000Z | import numpy as np
import pandas as pd
from scipy.stats import f_oneway
from typing import Dict, Tuple, Set
def extract_significant_p(df: pd.DataFrame, p_value_limit: float):
"""Return a df, which replaces values that are above p_value_limit with `None`"""
return (
df.loc(axis=1)[f"p-value"]
... | 36.34375 | 117 | 0.589209 | 521 | 4,652 | 5.084453 | 0.289827 | 0.05889 | 0.024915 | 0.035108 | 0.040015 | 0.040015 | 0 | 0 | 0 | 0 | 0 | 0.011501 | 0.308469 | 4,652 | 127 | 118 | 36.629921 | 0.811937 | 0.239897 | 0 | 0.022222 | 0 | 0 | 0.085872 | 0.006382 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044444 | false | 0 | 0.044444 | 0 | 0.133333 | 0.011111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d5ff5d19a2e1fbd8c3dcb000fc779bc359c47c61 | 2,251 | py | Python | bux_recorder/utils.py | roaldarbol/bux | 356817bbc7139c972d640c64fb8fcba27b70b3f7 | [
"MIT"
] | null | null | null | bux_recorder/utils.py | roaldarbol/bux | 356817bbc7139c972d640c64fb8fcba27b70b3f7 | [
"MIT"
] | 9 | 2021-12-09T18:07:25.000Z | 2022-03-30T23:22:45.000Z | bux_recorder/utils.py | roaldarbol/bux | 356817bbc7139c972d640c64fb8fcba27b70b3f7 | [
"MIT"
] | null | null | null | import os
import platform
import time
import csv
import serial
import cv2
import tkinter as tk
from tkinter.filedialog import askdirectory
from serial.tools import list_ports
# From https://raspberrypi.stackexchange.com/a/118473
def is_raspberrypi():
try:
with io.open('/sys/firmware/devicetree/base/model',... | 30.835616 | 103 | 0.631719 | 322 | 2,251 | 4.270186 | 0.406832 | 0.045818 | 0.047273 | 0.039273 | 0.112 | 0.075636 | 0.075636 | 0.075636 | 0.075636 | 0.075636 | 0 | 0.012666 | 0.263438 | 2,251 | 73 | 104 | 30.835616 | 0.816647 | 0.234118 | 0 | 0.089286 | 0 | 0 | 0.04468 | 0.020576 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0.017857 | 0.160714 | 0.017857 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d5fff25cf4828ce6ee852dfb013719288c2e6acf | 1,712 | py | Python | a2e/optimizer/hpbandster/_model_worker.py | maechler/a2e | c28f546ca5fc3fdb9c740ea5f0f85d2aca044a00 | [
"MIT"
] | 1 | 2021-03-19T09:09:41.000Z | 2021-03-19T09:09:41.000Z | a2e/optimizer/hpbandster/_model_worker.py | maechler/a2e | c28f546ca5fc3fdb9c740ea5f0f85d2aca044a00 | [
"MIT"
] | null | null | null | a2e/optimizer/hpbandster/_model_worker.py | maechler/a2e | c28f546ca5fc3fdb9c740ea5f0f85d2aca044a00 | [
"MIT"
] | null | null | null | from hpbandster.core.worker import Worker
from a2e.model import AbstractModel
from a2e.optimizer import EvaluationResultAggregator
from a2e.utility import inf_nan_to_float_max
class ModelWorker(Worker):
def __init__(
self,
model: AbstractModel,
evaluation_result_aggregator: EvaluationResul... | 31.703704 | 138 | 0.657126 | 195 | 1,712 | 5.430769 | 0.276923 | 0.181303 | 0.098206 | 0.065156 | 0.109537 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002377 | 0.26285 | 1,712 | 53 | 139 | 32.301887 | 0.836767 | 0 | 0 | 0 | 0 | 0 | 0.028037 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.086957 | 0 | 0.173913 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9101c6f835f7bccd8700b747bc71f0d2474bb905 | 1,245 | py | Python | xagents/__init__.py | schissmantics/xagents | 04f1b96f767903c62138b7d63986f16edfe5f240 | [
"MIT"
] | 37 | 2021-08-05T16:31:54.000Z | 2022-01-16T11:49:46.000Z | xagents/__init__.py | schissmantics/xagents | 04f1b96f767903c62138b7d63986f16edfe5f240 | [
"MIT"
] | 1 | 2022-01-08T17:22:53.000Z | 2022-01-08T17:22:53.000Z | xagents/__init__.py | schissmantics/xagents | 04f1b96f767903c62138b7d63986f16edfe5f240 | [
"MIT"
] | 3 | 2021-08-13T06:25:22.000Z | 2021-08-20T01:37:15.000Z | from xagents import a2c, acer, ddpg, dqn, ppo, td3, trpo
from xagents.a2c.agent import A2C
from xagents.acer.agent import ACER
from xagents.base import OffPolicy
from xagents.ddpg.agent import DDPG
from xagents.dqn.agent import DQN
from xagents.ppo.agent import PPO
from xagents.td3.agent import TD3
from xagents.trpo.ag... | 30.365854 | 85 | 0.658635 | 162 | 1,245 | 4.91358 | 0.283951 | 0.15201 | 0.037688 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01497 | 0.195181 | 1,245 | 40 | 86 | 31.125 | 0.779441 | 0 | 0 | 0.052632 | 0 | 0 | 0.261847 | 0.02008 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.289474 | 0 | 0.289474 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91031df628ba0d6e12adf7ed9e0154be2d4256a3 | 3,794 | py | Python | examples/MMPT/mmpt_cli/localjob.py | Este1le/fairseq | 0fa073e0e0ddd90ff6850588e655c9566bb222ff | [
"MIT"
] | null | null | null | examples/MMPT/mmpt_cli/localjob.py | Este1le/fairseq | 0fa073e0e0ddd90ff6850588e655c9566bb222ff | [
"MIT"
] | null | null | null | examples/MMPT/mmpt_cli/localjob.py | Este1le/fairseq | 0fa073e0e0ddd90ff6850588e655c9566bb222ff | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from mmpt.utils import recursive_config
class BaseJob(object):
def __init__(self, yaml_file, dryrun=False):
self.yaml_... | 32.152542 | 120 | 0.524512 | 419 | 3,794 | 4.536993 | 0.293556 | 0.044187 | 0.034719 | 0.031562 | 0.207785 | 0.187796 | 0.118885 | 0.118885 | 0.118885 | 0.118885 | 0 | 0.006822 | 0.343173 | 3,794 | 117 | 121 | 32.42735 | 0.756019 | 0.055878 | 0 | 0.241758 | 0 | 0 | 0.155245 | 0.013427 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.032967 | 0.065934 | 0.32967 | 0.021978 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9103b4aa5d2e6a5156212d03a9f3245d1c26b5fe | 1,154 | py | Python | tron/Nubs/deprecated/tcc25m-old.py | sdss/tron | 886c5c5fb6341ad85e4a9f5d6f5ecb6bbc0d8322 | [
"BSD-3-Clause"
] | null | null | null | tron/Nubs/deprecated/tcc25m-old.py | sdss/tron | 886c5c5fb6341ad85e4a9f5d6f5ecb6bbc0d8322 | [
"BSD-3-Clause"
] | null | null | null | tron/Nubs/deprecated/tcc25m-old.py | sdss/tron | 886c5c5fb6341ad85e4a9f5d6f5ecb6bbc0d8322 | [
"BSD-3-Clause"
] | null | null | null | import os.path
from tron import g, hub
from tron.Hub.Command.Encoders.ASCIICmdEncoder import ASCIICmdEncoder
from tron.Hub.Nub.TCCShellNub import TCCShellNub
from tron.Hub.Reply.Decoders.ASCIIReplyDecoder import ASCIIReplyDecoder
name = 'tcc'
def start(poller):
stop()
initCmds = ('show version', 'show us... | 25.644444 | 97 | 0.598787 | 141 | 1,154 | 4.900709 | 0.48227 | 0.04631 | 0.047757 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006857 | 0.241768 | 1,154 | 44 | 98 | 26.227273 | 0.782857 | 0 | 0 | 0 | 0 | 0 | 0.180243 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.15625 | 0 | 0.21875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9106509f9ec5a979f79cad4305026bbe9239af41 | 9,920 | py | Python | python/arch/api/table/session.py | GentleWang1011/eggroll | 417b029958e0e0ec6f0e1eb03d9ecdf4d5cff47c | [
"Apache-2.0"
] | 1 | 2020-10-23T03:18:54.000Z | 2020-10-23T03:18:54.000Z | python/arch/api/table/session.py | GentleWang1011/eggroll | 417b029958e0e0ec6f0e1eb03d9ecdf4d5cff47c | [
"Apache-2.0"
] | null | null | null | python/arch/api/table/session.py | GentleWang1011/eggroll | 417b029958e0e0ec6f0e1eb03d9ecdf4d5cff47c | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2019 The FATE Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 39.055118 | 113 | 0.541431 | 987 | 9,920 | 5.213779 | 0.192503 | 0.073455 | 0.021376 | 0.017489 | 0.425379 | 0.361251 | 0.339487 | 0.32841 | 0.29382 | 0.267198 | 0 | 0.002849 | 0.398589 | 9,920 | 253 | 114 | 39.209486 | 0.859705 | 0.164315 | 0 | 0.494118 | 0 | 0 | 0.020501 | 0.006792 | 0 | 0 | 0 | 0 | 0 | 1 | 0.094118 | false | 0.041176 | 0.1 | 0.005882 | 0.264706 | 0.005882 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91085824641d29cf6a64bb1d7961d3c8c9b1d9df | 10,481 | py | Python | experiments/vitchyr/vaes/learn_swirl_vae.py | Asap7772/rail-rl-franka-eval | 4bf99072376828193d05b53cf83c7e8f4efbd3ba | [
"MIT"
] | null | null | null | experiments/vitchyr/vaes/learn_swirl_vae.py | Asap7772/rail-rl-franka-eval | 4bf99072376828193d05b53cf83c7e8f4efbd3ba | [
"MIT"
] | null | null | null | experiments/vitchyr/vaes/learn_swirl_vae.py | Asap7772/rail-rl-franka-eval | 4bf99072376828193d05b53cf83c7e8f4efbd3ba | [
"MIT"
] | null | null | null | """
VAE on the swirl task.
Basically, VAEs don't work. It's probably because the prior isn't very good
and/or because the learning signal is pretty weak when both the encoder and
decoder change quickly. However, I tried also alternating between the two,
and that didn't seem to help.
"""
from torch.distributions import... | 30.556851 | 100 | 0.621983 | 1,461 | 10,481 | 4.239562 | 0.134839 | 0.053277 | 0.030998 | 0.04133 | 0.705037 | 0.652083 | 0.603972 | 0.589603 | 0.572812 | 0.572812 | 0 | 0.017868 | 0.241771 | 10,481 | 342 | 101 | 30.646199 | 0.761545 | 0.090736 | 0 | 0.589552 | 0 | 0 | 0.026876 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044776 | false | 0 | 0.026119 | 0.003731 | 0.11194 | 0.003731 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91087a71b49d992aa86f465838203ca33ae315a2 | 893 | py | Python | litex/build/openfpgaloader.py | JosephBushagour/litex | 2b49430f2c53c4a8caa66b678af4660127b546e4 | [
"ADSL"
] | null | null | null | litex/build/openfpgaloader.py | JosephBushagour/litex | 2b49430f2c53c4a8caa66b678af4660127b546e4 | [
"ADSL"
] | null | null | null | litex/build/openfpgaloader.py | JosephBushagour/litex | 2b49430f2c53c4a8caa66b678af4660127b546e4 | [
"ADSL"
] | null | null | null | #
# This file is part of LiteX.
#
# Copyright (c) 2020 Florent Kermarrec <florent@enjoy-digital.fr>
# SPDX-License-Identifier: BSD-2-Clause
from litex.build.tools import write_to_file
from litex.build.generic_programmer import GenericProgrammer
# openFPGAloader --------------------------------------------------------... | 31.892857 | 107 | 0.603583 | 94 | 893 | 5.595745 | 0.510638 | 0.068441 | 0.079848 | 0.098859 | 0.13308 | 0.13308 | 0 | 0 | 0 | 0 | 0 | 0.006849 | 0.182531 | 893 | 27 | 108 | 33.074074 | 0.713699 | 0.263158 | 0 | 0.133333 | 0 | 0 | 0.130568 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.133333 | 0 | 0.466667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9108d9fb9a94a37ce1d64b6c7561be3aaeaa3b32 | 10,557 | py | Python | NutriBuddiAPIServices/ImageClassifier/NutriBuddiClassifier/Classifier/FoodClassifier.py | NutriBuddi/NutriBuddi | b4343216cbc99b17a1faf4df50b681465418291f | [
"MIT"
] | 2 | 2017-12-11T03:47:14.000Z | 2017-12-16T01:29:03.000Z | NutriBuddiAPIServices/ImageClassifier/NutriBuddiClassifier/Classifier/FoodClassifier.py | NutriBuddi/NutriBuddi | b4343216cbc99b17a1faf4df50b681465418291f | [
"MIT"
] | null | null | null | NutriBuddiAPIServices/ImageClassifier/NutriBuddiClassifier/Classifier/FoodClassifier.py | NutriBuddi/NutriBuddi | b4343216cbc99b17a1faf4df50b681465418291f | [
"MIT"
] | null | null | null | class FoodClassifier:
#Class Attributes:
#model - the underlying keras model
#labels - the labels to be associated with the activation of each output neuron.
#Labels must be the same size as the output layer of the neural network.
def __init__(self, modelpath, labels, min_confidence =... | 33.728435 | 180 | 0.626883 | 1,365 | 10,557 | 4.738462 | 0.216117 | 0.016698 | 0.006184 | 0.009895 | 0.182746 | 0.148887 | 0.142239 | 0.120903 | 0.107607 | 0.097712 | 0 | 0.015212 | 0.283887 | 10,557 | 312 | 181 | 33.836538 | 0.840344 | 0.242683 | 0 | 0.25731 | 0 | 0 | 0.063076 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070175 | false | 0 | 0.157895 | 0.017544 | 0.304094 | 0.070175 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9109df56e39b2986de46c0b2bc4cedc05e614932 | 5,234 | py | Python | exchange_sockets/bitstamp_websocket.py | SpiralDevelopment/crypto-hft-data | 205f01fd555eab4f636ffbb701dfcde53d27becc | [
"MIT"
] | 31 | 2020-07-20T14:11:39.000Z | 2022-03-17T03:18:33.000Z | exchange_sockets/bitstamp_websocket.py | SpiralDevelopment/crypto-hft-data | 205f01fd555eab4f636ffbb701dfcde53d27becc | [
"MIT"
] | null | null | null | exchange_sockets/bitstamp_websocket.py | SpiralDevelopment/crypto-hft-data | 205f01fd555eab4f636ffbb701dfcde53d27becc | [
"MIT"
] | 11 | 2020-07-20T14:11:52.000Z | 2022-03-14T04:20:19.000Z | from exchange_sockets.exchange_websocket import ExchangeWebSocket
from singletones.custom_logger import MyLogger
import websocket
import threading
from time import sleep
from time import time
import json
import ssl
logger = MyLogger()
class BitstampWebsocket(ExchangeWebSocket):
def __init__(self, pairs_n_stream... | 35.364865 | 108 | 0.488154 | 526 | 5,234 | 4.652091 | 0.262357 | 0.026972 | 0.017981 | 0.023294 | 0.130772 | 0.11606 | 0.11606 | 0.11606 | 0.11606 | 0.11606 | 0 | 0.00547 | 0.40619 | 5,234 | 147 | 109 | 35.605442 | 0.781853 | 0.006496 | 0 | 0.163793 | 0 | 0 | 0.075606 | 0.00404 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086207 | false | 0 | 0.068966 | 0 | 0.172414 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
910a76a4ae610e5e78371c5e387ad8044c415dcd | 2,509 | py | Python | src/data_loading.py | katerakelly/pytorch-maml | 75907aca148ad053dfaf75fc138319f0d89534a8 | [
"MIT"
] | 565 | 2017-08-29T02:02:30.000Z | 2022-03-28T13:44:55.000Z | src/data_loading.py | lolinkun/pytorch-maml | 75907aca148ad053dfaf75fc138319f0d89534a8 | [
"MIT"
] | 20 | 2017-10-23T02:19:51.000Z | 2021-06-02T07:17:28.000Z | src/data_loading.py | lolinkun/pytorch-maml | 75907aca148ad053dfaf75fc138319f0d89534a8 | [
"MIT"
] | 140 | 2017-09-09T09:18:15.000Z | 2022-03-28T04:15:26.000Z | import numpy as np
import random
import torch
from torch.utils.data import DataLoader
from torch.utils.data.sampler import Sampler
import torchvision.transforms as transforms
from dataset import Omniglot, MNIST
'''
Helpers for loading class-balanced few-shot tasks
from datasets
'''
class ClassBalancedSampler(Sample... | 39.825397 | 121 | 0.697489 | 358 | 2,509 | 4.765363 | 0.340782 | 0.023447 | 0.021102 | 0.024619 | 0.166471 | 0.101993 | 0.101993 | 0.078546 | 0.078546 | 0 | 0 | 0.038326 | 0.209645 | 2,509 | 62 | 122 | 40.467742 | 0.821987 | 0.232363 | 0 | 0 | 0 | 0 | 0.008301 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.205882 | 0.029412 | 0.441176 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
910af5706d2a9981705d65b7f790c5595e73aa3e | 1,823 | py | Python | DoChaP-db/UnusedScripts/main.py | Tal-Shay-Group/DoChaP | e721c6742fdff5f771bb947d92fa6cf66831939a | [
"MIT"
] | 2 | 2021-05-28T04:59:17.000Z | 2021-09-03T13:25:40.000Z | DoChaP-db/UnusedScripts/main.py | Tal-Shay-Group/DoChaP | e721c6742fdff5f771bb947d92fa6cf66831939a | [
"MIT"
] | null | null | null | DoChaP-db/UnusedScripts/main.py | Tal-Shay-Group/DoChaP | e721c6742fdff5f771bb947d92fa6cf66831939a | [
"MIT"
] | null | null | null | #!/usr/bin/python
import sys
import os
sys.path.append(os.getcwd())
from Director import Director
from OrthologsBuilder import *
from SpeciesDB import *
if __name__ == "__main__":
inputDict = {}
for inarg in sys.argv[1:]:
try:
splitArg = inarg.strip("-").split("=")
if splitArg[... | 37.979167 | 106 | 0.638508 | 196 | 1,823 | 5.826531 | 0.443878 | 0.028021 | 0.031524 | 0.036778 | 0.154116 | 0.070053 | 0 | 0 | 0 | 0 | 0 | 0.004979 | 0.228744 | 1,823 | 47 | 107 | 38.787234 | 0.807255 | 0.008777 | 0 | 0.046512 | 0 | 0 | 0.199889 | 0.014396 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.116279 | 0 | 0.116279 | 0.139535 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
910ba6c11fb3b85edca95edcb1ac441727f03f60 | 16,258 | py | Python | TWLight/settings/base.py | amire80/TWLight | 063a385ea46c61a4889ba88e3fded4183c3a6bd3 | [
"MIT"
] | null | null | null | TWLight/settings/base.py | amire80/TWLight | 063a385ea46c61a4889ba88e3fded4183c3a6bd3 | [
"MIT"
] | 56 | 2021-07-03T12:34:47.000Z | 2022-03-29T12:20:08.000Z | TWLight/settings/base.py | amire80/TWLight | 063a385ea46c61a4889ba88e3fded4183c3a6bd3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Base settings for twlight project.
This is not intended to be used as the live settings file for a project and will
not work as one. You should instead use production.py, local.py, heroku.py, or
another file that you write. These files should live in the settings directory;
start with 'from... | 35.969027 | 165 | 0.60807 | 1,690 | 16,258 | 5.701183 | 0.302367 | 0.018682 | 0.024909 | 0.016814 | 0.113129 | 0.078568 | 0.058433 | 0.058433 | 0.037571 | 0.014323 | 0 | 0.003831 | 0.181142 | 16,258 | 451 | 166 | 36.04878 | 0.719898 | 0.430373 | 0 | 0.070248 | 0 | 0 | 0.37761 | 0.230239 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008264 | false | 0.008264 | 0.028926 | 0 | 0.045455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
910c31b853b8a837a994aa06e68742ed3449818b | 19,836 | py | Python | modelator_py/util/tla/_optable.py | informalsystems/modelator-py | d66464096c022799e680e6201590a2ead69be32d | [
"Apache-2.0"
] | null | null | null | modelator_py/util/tla/_optable.py | informalsystems/modelator-py | d66464096c022799e680e6201590a2ead69be32d | [
"Apache-2.0"
] | 3 | 2022-03-30T16:01:49.000Z | 2022-03-31T13:40:03.000Z | modelator_py/util/tla/_optable.py | informalsystems/modelator-py | d66464096c022799e680e6201590a2ead69be32d | [
"Apache-2.0"
] | null | null | null | """Table of operators."""
# Copyright 2020 by California Institute of Technology
# Copyright (c) 2008-2013 INRIA and Microsoft Corporation
# All rights reserved. Licensed under 3-clause BSD.
#
# This module is based on the file:
#
# <https://github.com/tlaplus/tlapm/blob/main/src/optable.ml>
#
import pprint
from .ast... | 41.497908 | 87 | 0.354658 | 1,793 | 19,836 | 3.907975 | 0.139989 | 0.122164 | 0.06993 | 0.0999 | 0.477951 | 0.26445 | 0.173969 | 0.149565 | 0.139147 | 0.107036 | 0 | 0.047663 | 0.392872 | 19,836 | 477 | 88 | 41.584906 | 0.534169 | 0.557219 | 0 | 0.089385 | 0 | 0 | 0.074971 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039106 | false | 0.044693 | 0.011173 | 0.005587 | 0.134078 | 0.005587 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
910cebe2f9c8f06e688c3bb7c05c5907ea9954d5 | 40,599 | py | Python | DIE/UI/FunctionViewEx.py | a1ext/DIE | 1a3a19f016f44cf611847ce4f0d126b136040cb6 | [
"MIT"
] | 5 | 2017-05-17T21:53:46.000Z | 2019-07-12T20:05:20.000Z | DIE/UI/FunctionViewEx.py | a1ext/DIE | 1a3a19f016f44cf611847ce4f0d126b136040cb6 | [
"MIT"
] | null | null | null | DIE/UI/FunctionViewEx.py | a1ext/DIE | 1a3a19f016f44cf611847ce4f0d126b136040cb6 | [
"MIT"
] | 1 | 2020-03-15T21:25:14.000Z | 2020-03-15T21:25:14.000Z | import networkx as nx
from awesome.context import ignored
import sark
import idaapi
import idautils
import idc
from idaapi import PluginForm
from sark.qt import QtGui, QtCore, QtWidgets, form_to_widget, use_qt5
if use_qt5:
_QSortFilterProxyModel = QtCore.QSortFilterProxyModel
_MatchRecursive = QtC... | 40.885196 | 176 | 0.610828 | 4,565 | 40,599 | 5.148302 | 0.10011 | 0.04289 | 0.013786 | 0.011233 | 0.48749 | 0.419539 | 0.352396 | 0.286444 | 0.243766 | 0.214748 | 0 | 0.005301 | 0.307618 | 40,599 | 992 | 177 | 40.926411 | 0.830772 | 0.122097 | 0 | 0.244556 | 0 | 0 | 0.038721 | 0.004052 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065327 | false | 0 | 0.026801 | 0.001675 | 0.142379 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
910e142fb045682f0db143a5a746598a72de10d6 | 1,103 | py | Python | peerbot/PeerBot.py | danerprog/PeerHostedDiscordBot | 310467d8f123826a20ed92174666beb46fe35d02 | [
"Apache-2.0"
] | null | null | null | peerbot/PeerBot.py | danerprog/PeerHostedDiscordBot | 310467d8f123826a20ed92174666beb46fe35d02 | [
"Apache-2.0"
] | null | null | null | peerbot/PeerBot.py | danerprog/PeerHostedDiscordBot | 310467d8f123826a20ed92174666beb46fe35d02 | [
"Apache-2.0"
] | null | null | null | from peerbot.PeerBotStateMachine import PeerBotStateMachine
from utils.Logger import Logger
import discord
class PeerBot(discord.Client):
def __init__(self, args):
self.args = args
self.isBotReady = False
super().__init__()
async def on_ready(self):
stringifiedUse... | 34.46875 | 91 | 0.637353 | 110 | 1,103 | 6.236364 | 0.390909 | 0.058309 | 0.034985 | 0.049563 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.260199 | 1,103 | 32 | 92 | 34.46875 | 0.840686 | 0 | 0 | 0 | 0 | 0 | 0.087862 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.12 | 0 | 0.24 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9111af8dea9204ecc79252d0615a08b9fa56ab3b | 4,998 | py | Python | tests/apps/persons/test_cms_plugins_person.py | lunika/richie | b0b04d0ffc0b16f2f1b8a8201418b8f86941e45f | [
"MIT"
] | null | null | null | tests/apps/persons/test_cms_plugins_person.py | lunika/richie | b0b04d0ffc0b16f2f1b8a8201418b8f86941e45f | [
"MIT"
] | null | null | null | tests/apps/persons/test_cms_plugins_person.py | lunika/richie | b0b04d0ffc0b16f2f1b8a8201418b8f86941e45f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Unit tests for the Person plugin and its model
"""
from django import forms
from django.conf import settings
from django.test import TestCase
from cms.api import add_plugin, create_page
from cmsplugin_plain_text.cms_plugins import PlaintextPlugin
from djangocms_picture.cms_plugins import Pi... | 36.75 | 91 | 0.62585 | 557 | 4,998 | 5.452424 | 0.262118 | 0.023708 | 0.068489 | 0.023708 | 0.320053 | 0.249588 | 0.156734 | 0.156734 | 0.156734 | 0.119197 | 0 | 0.003871 | 0.276311 | 4,998 | 135 | 92 | 37.022222 | 0.835776 | 0.173069 | 0 | 0.391304 | 0 | 0 | 0.117676 | 0.04623 | 0 | 0 | 0 | 0 | 0.108696 | 1 | 0.021739 | false | 0 | 0.119565 | 0 | 0.173913 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91124d593f9dcda3e366e95378c8d482f7f013ee | 9,295 | py | Python | mathics/core/subexpression.py | Mathics3/mathics-core | 54dc3c00a42cd893c6430054e125291b6eb55ead | [
"Apache-2.0"
] | 90 | 2021-09-11T14:14:00.000Z | 2022-03-29T02:08:29.000Z | mathics/core/subexpression.py | Mathics3/mathics-core | 54dc3c00a42cd893c6430054e125291b6eb55ead | [
"Apache-2.0"
] | 187 | 2021-09-13T01:00:41.000Z | 2022-03-31T11:52:52.000Z | mathics/core/subexpression.py | Mathics3/mathics-core | 54dc3c00a42cd893c6430054e125291b6eb55ead | [
"Apache-2.0"
] | 10 | 2021-10-05T15:44:26.000Z | 2022-03-21T12:34:33.000Z | # cython: language_level=3
# -*- coding: utf-8 -*-
from mathics.core.expression import Expression
from mathics.core.symbols import Atom, Symbol
from mathics.core.atoms import Integer
from mathics.builtin.base import MessageException
"""
This module provides some infrastructure to deal with SubExpressions.
"""
def... | 30.276873 | 94 | 0.563636 | 1,131 | 9,295 | 4.532272 | 0.16092 | 0.033164 | 0.010925 | 0.012876 | 0.238588 | 0.152946 | 0.117441 | 0.095981 | 0.067109 | 0.044089 | 0 | 0.007174 | 0.340183 | 9,295 | 306 | 95 | 30.375817 | 0.828632 | 0.1773 | 0 | 0.368932 | 0 | 0 | 0.051905 | 0.006283 | 0 | 0 | 0 | 0 | 0 | 1 | 0.131068 | false | 0 | 0.019417 | 0.058252 | 0.296117 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9112d9a09ef3e419ea9c838421fb6d27323a5f4c | 1,960 | py | Python | lib/python/treadmill/tests/api/cell_test.py | vrautela/treadmill | 05e47fa8acdf8bad7af78e737efb26ea6488de82 | [
"Apache-2.0"
] | 1 | 2019-04-14T20:17:07.000Z | 2019-04-14T20:17:07.000Z | lib/python/treadmill/tests/api/cell_test.py | vrautela/treadmill | 05e47fa8acdf8bad7af78e737efb26ea6488de82 | [
"Apache-2.0"
] | 1 | 2017-09-18T10:36:12.000Z | 2017-09-18T10:36:12.000Z | lib/python/treadmill/tests/api/cell_test.py | evreng/treadmill | 05e47fa8acdf8bad7af78e737efb26ea6488de82 | [
"Apache-2.0"
] | null | null | null | """Cell API tests.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
import mock
from treadmill import admin
from treadmill.api import cell
class ApiCellTest(unittest.TestCase):
"""treadmill.... | 32.131148 | 72 | 0.628061 | 238 | 1,960 | 4.97479 | 0.226891 | 0.053209 | 0.106419 | 0.096284 | 0.5625 | 0.539696 | 0.517736 | 0.38598 | 0.325169 | 0.325169 | 0 | 0.004627 | 0.228061 | 1,960 | 60 | 73 | 32.666667 | 0.777925 | 0.084694 | 0 | 0.317073 | 0 | 0 | 0.1794 | 0.116016 | 0 | 0 | 0 | 0 | 0.073171 | 1 | 0.121951 | false | 0.02439 | 0.195122 | 0 | 0.341463 | 0.02439 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9116cf95f3505891c20808a9297cb4047c9dcb7a | 776 | py | Python | sandbox/pdp2/arbitrary_data/zip_files.py | projectpai/paipass | 8b8e70b6808bf026cf957e240c7eed7bfcf4c55d | [
"MIT"
] | 3 | 2021-04-17T10:20:26.000Z | 2022-03-08T07:36:13.000Z | sandbox/pdp2/arbitrary_data/zip_files.py | projectpai/paipass | 8b8e70b6808bf026cf957e240c7eed7bfcf4c55d | [
"MIT"
] | null | null | null | sandbox/pdp2/arbitrary_data/zip_files.py | projectpai/paipass | 8b8e70b6808bf026cf957e240c7eed7bfcf4c55d | [
"MIT"
] | null | null | null | import zipfile
import random
RAND_INT_RANGE = (1,100)
def wrf(fname):
with open(fname, 'w') as f:
for i in range(100):
f.write(str(random.randint(*RAND_INT_RANGE)))
fnames = []
for i in range(10):
fname = 'file' + str(i) + '.txt'
wrf(fname)
fnames.append(fname)
dirpaths = set()
wi... | 26.758621 | 79 | 0.636598 | 106 | 776 | 4.575472 | 0.415094 | 0.057732 | 0.098969 | 0.123711 | 0.230928 | 0.230928 | 0.173196 | 0.173196 | 0 | 0 | 0 | 0.014851 | 0.219072 | 776 | 28 | 80 | 27.714286 | 0.785479 | 0.043814 | 0 | 0.090909 | 0 | 0 | 0.067568 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.090909 | 0 | 0.136364 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
911750f22693957597b2ca1cf0ab39d191230dfc | 1,497 | py | Python | tests/testproject/testproject/tests/test_middleware.py | mwesterhof/wagtail_managed404 | a961271c7fc70accb43ec329da9defe36e3dab3c | [
"MIT"
] | 1 | 2021-03-11T10:06:04.000Z | 2021-03-11T10:06:04.000Z | tests/testproject/testproject/tests/test_middleware.py | mwesterhof/wagtail_managed404 | a961271c7fc70accb43ec329da9defe36e3dab3c | [
"MIT"
] | null | null | null | tests/testproject/testproject/tests/test_middleware.py | mwesterhof/wagtail_managed404 | a961271c7fc70accb43ec329da9defe36e3dab3c | [
"MIT"
] | null | null | null | import unittest
from django.test import Client
from wagtail.core.models import Page
from wagtail_managed404.models import PageNotFoundEntry
class TestMiddleware(unittest.TestCase):
"""Tests for `wagtail_app_pages` package."""
def setUp(self):
self.client = Client()
self.invalid_url = '/defi... | 34.022727 | 76 | 0.706079 | 187 | 1,497 | 5.363636 | 0.304813 | 0.069791 | 0.083749 | 0.084746 | 0.437687 | 0.329013 | 0.255234 | 0.255234 | 0.255234 | 0.255234 | 0 | 0.016611 | 0.195725 | 1,497 | 43 | 77 | 34.813953 | 0.816445 | 0.025384 | 0 | 0.1875 | 0 | 0 | 0.032347 | 0.020647 | 0 | 0 | 0 | 0 | 0.125 | 1 | 0.15625 | false | 0 | 0.125 | 0 | 0.34375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
911a60720a34ab009d3e5702a34a60c445eb65cc | 5,827 | py | Python | kronos/kronos.py | jinified/kronos | 1f110372a025d28ccc407372320491ee818c893d | [
"MIT"
] | null | null | null | kronos/kronos.py | jinified/kronos | 1f110372a025d28ccc407372320491ee818c893d | [
"MIT"
] | null | null | null | kronos/kronos.py | jinified/kronos | 1f110372a025d28ccc407372320491ee818c893d | [
"MIT"
] | null | null | null | """
Kronos: A simple scheduler for graduate training programme
Entities: User, Schedule, Rotation
"""
from operator import itemgetter
from datetime import datetime, timedelta
def getRotationCapacity(rotationId, startDate, endDate, assignments):
""" Calculate number of users assigned to a particular rotation dur... | 33.107955 | 97 | 0.60151 | 654 | 5,827 | 5.311927 | 0.238532 | 0.047496 | 0.044905 | 0.01871 | 0.127807 | 0.084053 | 0.064479 | 0.050086 | 0.050086 | 0.050086 | 0 | 0.021947 | 0.28059 | 5,827 | 175 | 98 | 33.297143 | 0.806775 | 0.27098 | 0 | 0.073395 | 0 | 0 | 0.040303 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06422 | false | 0.009174 | 0.018349 | 0 | 0.146789 | 0.036697 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
911aa9326eb51bb9ac375b836bec89f414a26904 | 2,384 | py | Python | personal_env/lib/python3.8/site-packages/pylint/lint/utils.py | jestinmwilson/personal-website | 6e47a7f33ed3b1ca5c1d42c89c5380d22992ed74 | [
"MIT"
] | null | null | null | personal_env/lib/python3.8/site-packages/pylint/lint/utils.py | jestinmwilson/personal-website | 6e47a7f33ed3b1ca5c1d42c89c5380d22992ed74 | [
"MIT"
] | null | null | null | personal_env/lib/python3.8/site-packages/pylint/lint/utils.py | jestinmwilson/personal-website | 6e47a7f33ed3b1ca5c1d42c89c5380d22992ed74 | [
"MIT"
] | null | null | null | # Licensed under the GPL: https://www.gnu.org/licenses/old-licenses/gpl-2.0.html
# For details: https://github.com/PyCQA/pylint/blob/master/COPYING
import contextlib
import sys
from pylint.utils import utils
class ArgumentPreprocessingError(Exception):
"""Raised if an error occurs during argument prep... | 30.961039 | 81 | 0.557047 | 284 | 2,384 | 4.623239 | 0.46831 | 0.053313 | 0.016756 | 0.019802 | 0.080731 | 0.080731 | 0.080731 | 0 | 0 | 0 | 0 | 0.005219 | 0.356963 | 2,384 | 76 | 82 | 31.368421 | 0.851272 | 0.280621 | 0 | 0.22449 | 0 | 0 | 0.039141 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061224 | false | 0 | 0.081633 | 0 | 0.183673 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
911ae3a32af48a82692eb10be784caaac6d3d48a | 4,847 | py | Python | mol_dqn/experimental/multi_obj.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 23,901 | 2018-10-04T19:48:53.000Z | 2022-03-31T21:27:42.000Z | mol_dqn/experimental/multi_obj.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 891 | 2018-11-10T06:16:13.000Z | 2022-03-31T10:42:34.000Z | mol_dqn/experimental/multi_obj.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 6,047 | 2018-10-12T06:31:02.000Z | 2022-03-31T13:59:28.000Z | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 30.484277 | 78 | 0.704766 | 725 | 4,847 | 4.546207 | 0.314483 | 0.007282 | 0.007282 | 0.023058 | 0.349211 | 0.342536 | 0.272451 | 0.272451 | 0.272451 | 0.272451 | 0 | 0.020419 | 0.201774 | 4,847 | 158 | 79 | 30.677215 | 0.831481 | 0.340004 | 0 | 0.197531 | 0 | 0 | 0.055144 | 0.011609 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049383 | false | 0 | 0.197531 | 0 | 0.37037 | 0.024691 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
911c431b68da1378ffaf6b7b804e393825322dec | 1,770 | py | Python | examples/cli-solver/cli_solver.py | danagle/boggled | 13fea4c31b5dff72093c38d1ad368dec9d44f4d0 | [
"MIT"
] | null | null | null | examples/cli-solver/cli_solver.py | danagle/boggled | 13fea4c31b5dff72093c38d1ad368dec9d44f4d0 | [
"MIT"
] | null | null | null | examples/cli-solver/cli_solver.py | danagle/boggled | 13fea4c31b5dff72093c38d1ad368dec9d44f4d0 | [
"MIT"
] | null | null | null | # cli_solver.py
import argparse
import os
from boggled import BoggleBoard, BoggleSolver, BoggleWords
def solve_board(board, words):
solver = BoggleSolver(board, words)
solver.solve()
return solver
def display_board_details(board):
print("Board details:")
print("Columns: ", board.columns)
pr... | 30 | 82 | 0.589266 | 204 | 1,770 | 4.985294 | 0.372549 | 0.054081 | 0.066863 | 0.039331 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001581 | 0.285311 | 1,770 | 58 | 83 | 30.517241 | 0.802372 | 0.007345 | 0 | 0.065217 | 0 | 0 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.065217 | 0 | 0.130435 | 0.173913 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
911cc6fdfec9f96a292bbbfc6b3b0ac51752840f | 45,086 | py | Python | src/wepy/orchestration/orchestrator.py | gitter-badger/wepy-1 | 9bc619aeae178ad5d10f658fae2abfd2c7aeb18a | [
"MIT"
] | 35 | 2017-08-22T15:39:06.000Z | 2022-03-20T15:17:52.000Z | src/wepy/orchestration/orchestrator.py | gitter-badger/wepy-1 | 9bc619aeae178ad5d10f658fae2abfd2c7aeb18a | [
"MIT"
] | 33 | 2017-10-02T22:04:45.000Z | 2022-03-02T22:19:08.000Z | src/wepy/orchestration/orchestrator.py | stxinsite/wepy | 352d4c1316b20e839aae8824eedd66f0f2d0b456 | [
"MIT"
] | 17 | 2018-07-14T15:33:30.000Z | 2022-01-18T16:30:55.000Z | from copy import copy, deepcopy
import sqlite3
from hashlib import md5
import time
import os
import os.path as osp
from base64 import b64encode, b64decode
from zlib import compress, decompress
import itertools as it
import logging
# instead of pickle we use dill, so we can save dynamically defined
# classes
import dil... | 32.319713 | 125 | 0.595883 | 5,164 | 45,086 | 5.030015 | 0.114253 | 0.018364 | 0.010626 | 0.014167 | 0.334052 | 0.272608 | 0.227911 | 0.196843 | 0.154533 | 0.144485 | 0 | 0.001885 | 0.341148 | 45,086 | 1,394 | 126 | 32.342898 | 0.872547 | 0.308455 | 0 | 0.23689 | 0 | 0 | 0.124179 | 0.009513 | 0 | 0 | 0 | 0.000717 | 0.001808 | 1 | 0.099458 | false | 0.001808 | 0.028933 | 0.014467 | 0.24774 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
911d2626da51dec7964f3f20d1a80f93b2a0e8f3 | 2,681 | py | Python | src/generate_class_specific_samples.py | HesterLim/pytorch-cnn-visualizations | 59ddf0ef6ea2c9d4d69c1ac6b260cb399867d178 | [
"MIT"
] | 6,725 | 2017-10-25T08:00:25.000Z | 2022-03-31T15:25:46.000Z | src/generate_class_specific_samples.py | woojoo99/pytorch-cnn-visualizations | 16eddfa055a9c618ba548e9fb4529e2ccbc79c35 | [
"MIT"
] | 105 | 2017-11-26T11:59:24.000Z | 2022-01-11T01:37:00.000Z | src/generate_class_specific_samples.py | woojoo99/pytorch-cnn-visualizations | 16eddfa055a9c618ba548e9fb4529e2ccbc79c35 | [
"MIT"
] | 1,419 | 2017-10-25T08:00:27.000Z | 2022-03-30T08:28:35.000Z | """
Created on Thu Oct 26 14:19:44 2017
@author: Utku Ozbulak - github.com/utkuozbulak
"""
import os
import numpy as np
import torch
from torch.optim import SGD
from torchvision import models
from misc_functions import preprocess_image, recreate_image, save_image
class ClassSpecificImageGeneration():
"""
... | 34.818182 | 125 | 0.613577 | 322 | 2,681 | 4.934783 | 0.425466 | 0.069226 | 0.056639 | 0.052863 | 0.085588 | 0.085588 | 0.025173 | 0.025173 | 0 | 0 | 0 | 0.037902 | 0.281611 | 2,681 | 76 | 126 | 35.276316 | 0.787124 | 0.218202 | 0 | 0.051282 | 0 | 0 | 0.049205 | 0 | 0.025641 | 0 | 0 | 0 | 0 | 1 | 0.051282 | false | 0 | 0.153846 | 0 | 0.25641 | 0.025641 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
911d31b9a8a7937bf3f3cbbfb6a83e53d58e13d7 | 16,673 | py | Python | sumo/tools/net/visum_mapDistricts.py | iltempe/osmosi | c0f54ecdbb7c7b5602d587768617d0dc50f1d75d | [
"MIT"
] | null | null | null | sumo/tools/net/visum_mapDistricts.py | iltempe/osmosi | c0f54ecdbb7c7b5602d587768617d0dc50f1d75d | [
"MIT"
] | null | null | null | sumo/tools/net/visum_mapDistricts.py | iltempe/osmosi | c0f54ecdbb7c7b5602d587768617d0dc50f1d75d | [
"MIT"
] | 2 | 2017-12-14T16:41:59.000Z | 2020-10-16T17:51:27.000Z | #!/usr/bin/env python
"""
@file visum_mapDistricts.py
@author Daniel Krajzewicz
@author Michael Behrisch
@date 2007-10-25
@version $Id$
This script reads a network and a dump file and
draws the network, coloring it by the values
found within the dump-file.
SUMO, Simulation of Urban MObility; see http://sum... | 33.346 | 138 | 0.537156 | 2,038 | 16,673 | 4.317959 | 0.153091 | 0.016705 | 0.008182 | 0.016705 | 0.349432 | 0.245682 | 0.226591 | 0.19625 | 0.187955 | 0.170227 | 0 | 0.054722 | 0.31608 | 16,673 | 499 | 139 | 33.412826 | 0.717004 | 0.051101 | 0 | 0.417249 | 0 | 0 | 0.066759 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013986 | false | 0 | 0.018648 | 0 | 0.037296 | 0.041958 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
911d404601c245497e0b927e48a8d554d335993b | 42,222 | py | Python | BKPMediaDetector.py | bkpifc/BKPMediaDetector | 51858b45e218e0c4b5ed4d6aac6d751e029d850e | [
"Apache-2.0"
] | 5 | 2019-04-03T08:04:06.000Z | 2019-10-01T12:08:30.000Z | BKPMediaDetector.py | bkpifc/BKPMediaDetector | 51858b45e218e0c4b5ed4d6aac6d751e029d850e | [
"Apache-2.0"
] | 13 | 2019-04-08T14:24:15.000Z | 2022-03-11T23:50:32.000Z | BKPMediaDetector.py | bkpifc/BKPMediaDetector | 51858b45e218e0c4b5ed4d6aac6d751e029d850e | [
"Apache-2.0"
] | 2 | 2019-04-04T11:20:27.000Z | 2019-04-04T14:51:11.000Z | #!/usr/bin/env python3
######
# General Detector
# 06.12.2018 / Last Update: 20.05.2021
# LRB
######
import numpy as np
import os
import sys
import tensorflow as tf
import hashlib
import cv2
import magic
import PySimpleGUI as sg
import csv
import imagehash
import face_recognition
import subprocess
from itertools impo... | 40.676301 | 238 | 0.613093 | 5,107 | 42,222 | 4.914431 | 0.158606 | 0.012551 | 0.007172 | 0.010997 | 0.330823 | 0.272372 | 0.240617 | 0.199139 | 0.150928 | 0.118496 | 0 | 0.017518 | 0.27398 | 42,222 | 1,037 | 239 | 40.715526 | 0.801233 | 0.157525 | 0 | 0.231951 | 0 | 0 | 0.115759 | 0.013083 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018433 | false | 0 | 0.039939 | 0 | 0.073733 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
911e4f54a8e9fbbfd53aa376d04e2f253bbddbd8 | 2,252 | py | Python | src/BruteForce.py | stevenwalton/Retro-Learner | 74586c57b5dd5f6e82abaff99344285731f1fc56 | [
"MIT"
] | null | null | null | src/BruteForce.py | stevenwalton/Retro-Learner | 74586c57b5dd5f6e82abaff99344285731f1fc56 | [
"MIT"
] | null | null | null | src/BruteForce.py | stevenwalton/Retro-Learner | 74586c57b5dd5f6e82abaff99344285731f1fc56 | [
"MIT"
] | null | null | null | import time
import retro
import FrameSkip
import TimeLimit
import Brute
class BruteForce():
def __init__(self,
game='Airstriker-Genesis',
max_episode_steps=4500,
timestep_limit=100_000_000,
state=retro.State.DEFAULT,
scenario=Non... | 34.121212 | 98 | 0.525311 | 239 | 2,252 | 4.799163 | 0.301255 | 0.061029 | 0.091543 | 0.049695 | 0.071491 | 0.071491 | 0.071491 | 0.071491 | 0.071491 | 0 | 0 | 0.013738 | 0.385879 | 2,252 | 65 | 99 | 34.646154 | 0.815618 | 0 | 0 | 0.033898 | 0 | 0 | 0.059059 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033898 | false | 0 | 0.084746 | 0 | 0.135593 | 0.050847 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
911fe80423c3725cffb5c649027000c3b8755a5f | 5,429 | py | Python | tutorials/04-advanced/03-super-resolution-onnx/main.py | yakhyo/PyTorch-Tutorials | 163287bc735b09c366dbdfa3989e81acaef6fa1f | [
"MIT"
] | 7 | 2021-05-16T14:36:20.000Z | 2021-12-30T07:07:31.000Z | tutorials/04-advanced/03-super-resolution-onnx/main.py | yakhyo/PyTorch-Tutorials | 163287bc735b09c366dbdfa3989e81acaef6fa1f | [
"MIT"
] | null | null | null | tutorials/04-advanced/03-super-resolution-onnx/main.py | yakhyo/PyTorch-Tutorials | 163287bc735b09c366dbdfa3989e81acaef6fa1f | [
"MIT"
] | 3 | 2021-05-17T12:11:11.000Z | 2021-11-25T10:06:14.000Z | import io
import numpy as np
import torch.utils.model_zoo as model_zoo
import torch.onnx
import torch.nn as nn
import torch.nn.init as init
# ================================================================ #
# Building the Model #
# ====================================... | 40.514925 | 120 | 0.592374 | 679 | 5,429 | 4.559647 | 0.318115 | 0.020672 | 0.013566 | 0.023256 | 0.209625 | 0.187985 | 0.165698 | 0.126938 | 0.062016 | 0.062016 | 0 | 0.022775 | 0.215509 | 5,429 | 133 | 121 | 40.819549 | 0.704156 | 0.315528 | 0 | 0.027027 | 0 | 0 | 0.095614 | 0.032961 | 0 | 0 | 0 | 0 | 0.013514 | 1 | 0.054054 | false | 0 | 0.135135 | 0.013514 | 0.22973 | 0.013514 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91209eac140dfeb3483e2df389892eaa71a76d66 | 8,963 | py | Python | features/steps/section.py | revvsales/python-docx-1 | 5b3ff2b828cc30f1567cb1682a8cb399143732d7 | [
"MIT"
] | 3,031 | 2015-01-02T11:11:24.000Z | 2022-03-30T00:57:17.000Z | features/steps/section.py | revvsales/python-docx-1 | 5b3ff2b828cc30f1567cb1682a8cb399143732d7 | [
"MIT"
] | 934 | 2015-01-06T20:53:56.000Z | 2022-03-28T10:08:03.000Z | features/steps/section.py | revvsales/python-docx-1 | 5b3ff2b828cc30f1567cb1682a8cb399143732d7 | [
"MIT"
] | 901 | 2015-01-07T18:22:07.000Z | 2022-03-31T18:38:51.000Z | # encoding: utf-8
"""
Step implementations for section-related features
"""
from __future__ import absolute_import, print_function, unicode_literals
from behave import given, then, when
from docx import Document
from docx.enum.section import WD_ORIENT, WD_SECTION
from docx.section import Section
from docx.shared im... | 34.340996 | 88 | 0.716278 | 1,197 | 8,963 | 5.015038 | 0.103592 | 0.058304 | 0.030318 | 0.018324 | 0.712477 | 0.666 | 0.53923 | 0.402299 | 0.334666 | 0.239547 | 0 | 0.003337 | 0.164119 | 8,963 | 260 | 89 | 34.473077 | 0.797918 | 0.027111 | 0 | 0.326203 | 0 | 0 | 0.255827 | 0.047652 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.15508 | false | 0 | 0.037433 | 0 | 0.192513 | 0.005348 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9120d4c7c58950a1c79165874f5716c1d3e76e4c | 4,421 | py | Python | scipy/sparse/csgraph/_laplacian.py | seberg/scipy | d8081cdd40ed8cbebd5905c0ad6c323c57d5da6e | [
"BSD-3-Clause"
] | 1 | 2018-10-04T15:34:14.000Z | 2018-10-04T15:34:14.000Z | scipy/sparse/csgraph/_laplacian.py | seberg/scipy | d8081cdd40ed8cbebd5905c0ad6c323c57d5da6e | [
"BSD-3-Clause"
] | null | null | null | scipy/sparse/csgraph/_laplacian.py | seberg/scipy | d8081cdd40ed8cbebd5905c0ad6c323c57d5da6e | [
"BSD-3-Clause"
] | null | null | null | """
Laplacian of a compressed-sparse graph
"""
# Authors: Aric Hagberg <hagberg@lanl.gov>
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# Jake Vanderplas <vanderplas@astro.washington.edu>
# License: BSD
import numpy as np
from scipy.sparse import isspmatrix, coo_matrix
#########################... | 32.507353 | 86 | 0.570007 | 605 | 4,421 | 4.072727 | 0.276033 | 0.044643 | 0.00974 | 0.00974 | 0.261364 | 0.163961 | 0.133117 | 0.092532 | 0.06737 | 0.06737 | 0 | 0.025232 | 0.291789 | 4,421 | 135 | 87 | 32.748148 | 0.761737 | 0.406922 | 0 | 0.393443 | 0 | 0 | 0.018251 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04918 | false | 0 | 0.032787 | 0 | 0.180328 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
912495f93184573b9203df22fc8bb27548652827 | 14,605 | py | Python | coltran/run.py | DionysisChristopoulos/google-research | 7f59ef421beef32ca16c2a7215be74f7eba01a0f | [
"Apache-2.0"
] | 23,901 | 2018-10-04T19:48:53.000Z | 2022-03-31T21:27:42.000Z | coltran/run.py | DionysisChristopoulos/google-research | 7f59ef421beef32ca16c2a7215be74f7eba01a0f | [
"Apache-2.0"
] | 891 | 2018-11-10T06:16:13.000Z | 2022-03-31T10:42:34.000Z | coltran/run.py | admariner/google-research | 7cee4b22b925581d912e8d993625c180da2a5a4f | [
"Apache-2.0"
] | 6,047 | 2018-10-12T06:31:02.000Z | 2022-03-31T13:59:28.000Z | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 34.940191 | 135 | 0.692503 | 1,912 | 14,605 | 5.065377 | 0.190377 | 0.023748 | 0.011564 | 0.018172 | 0.317914 | 0.299226 | 0.2508 | 0.218379 | 0.179866 | 0.14951 | 0 | 0.005181 | 0.180692 | 14,605 | 417 | 136 | 35.023981 | 0.804195 | 0.106676 | 0 | 0.228956 | 0 | 0.003367 | 0.114146 | 0.007499 | 0 | 0 | 0 | 0 | 0.003367 | 1 | 0.043771 | false | 0 | 0.057239 | 0.006734 | 0.127946 | 0.006734 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9125319261fb94bc69a897401585fdd40320b1d2 | 25,070 | py | Python | train_multi_human.py | wenliangdai/sunets-reproduce | d92efa80e8314aea153d498cce3c9c6e30c252bd | [
"MIT"
] | 2 | 2018-07-02T16:03:07.000Z | 2018-07-02T16:03:07.000Z | train_multi_human.py | wenliangdai/sunets-reproduce | d92efa80e8314aea153d498cce3c9c6e30c252bd | [
"MIT"
] | null | null | null | train_multi_human.py | wenliangdai/sunets-reproduce | d92efa80e8314aea153d498cce3c9c6e30c252bd | [
"MIT"
] | null | null | null | import argparse
import math
import os
import pickle
import random
import sys
import numpy as np
import torch
import torch.backends.cudnn as cudnn
from torch import nn
from torch.optim import lr_scheduler
from torch.utils import data
import torchvision.transforms as transforms
import transforms as extended_transforms
... | 55.835189 | 210 | 0.657359 | 3,311 | 25,070 | 4.704017 | 0.098762 | 0.047769 | 0.076276 | 0.048411 | 0.657785 | 0.608411 | 0.574767 | 0.538299 | 0.506196 | 0.451043 | 0 | 0.025395 | 0.206781 | 25,070 | 448 | 211 | 55.959821 | 0.75782 | 0.081611 | 0 | 0.129032 | 0 | 0 | 0.065947 | 0.003306 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008798 | false | 0 | 0.055718 | 0 | 0.064516 | 0.014663 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9125a2258a5cbeeafce52644773c51a924d107ac | 392 | py | Python | exemplos/exemplo-aula-14-01.py | quitaiskiluisf/TI4F-2021-LogicaProgramacao | d12e5c389a43c98f27726df5618fe529183329a8 | [
"Unlicense"
] | null | null | null | exemplos/exemplo-aula-14-01.py | quitaiskiluisf/TI4F-2021-LogicaProgramacao | d12e5c389a43c98f27726df5618fe529183329a8 | [
"Unlicense"
] | null | null | null | exemplos/exemplo-aula-14-01.py | quitaiskiluisf/TI4F-2021-LogicaProgramacao | d12e5c389a43c98f27726df5618fe529183329a8 | [
"Unlicense"
] | null | null | null | # Apresentação
print('Programa para somar 8 valores utilizando vetores/listas')
print()
# Declaração do vetor
valores = [0, 0, 0, 0, 0, 0, 0, 0]
# Solicita os valores
for i in range(len(valores)):
valores[i] = int(input('Informe o valor: '))
# Cálculo da soma
soma = 0
for i in range(len(valores)):
soma += va... | 20.631579 | 64 | 0.67602 | 64 | 392 | 4.140625 | 0.546875 | 0.05283 | 0.067925 | 0.075472 | 0.188679 | 0.188679 | 0.030189 | 0 | 0 | 0 | 0 | 0.031447 | 0.188776 | 392 | 18 | 65 | 21.777778 | 0.801887 | 0.229592 | 0 | 0.222222 | 0 | 0 | 0.334459 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9125c9f61c337477b68228ea1ba426e48ce06b1a | 333 | py | Python | day3/p1.py | pwicks86/adventofcode2015 | fba7cc8f6942f43f5b0226a0ac70365630f14cbd | [
"MIT"
] | null | null | null | day3/p1.py | pwicks86/adventofcode2015 | fba7cc8f6942f43f5b0226a0ac70365630f14cbd | [
"MIT"
] | null | null | null | day3/p1.py | pwicks86/adventofcode2015 | fba7cc8f6942f43f5b0226a0ac70365630f14cbd | [
"MIT"
] | null | null | null | from collections import defaultdict
f = open("input.txt")
d = f.read()
houses = defaultdict(int,{(0,0):1})
cur = [0,0]
for c in d:
if c == "<":
cur[0] -= 1
if c == ">":
cur[0] += 1
if c == "v":
cur[1] += 1
if c == "^":
cur[1] -= 1
houses[tuple(cur)]+=1
print(len(hou... | 18.5 | 35 | 0.456456 | 53 | 333 | 2.867925 | 0.45283 | 0.078947 | 0.118421 | 0.092105 | 0.125 | 0.125 | 0.125 | 0 | 0 | 0 | 0 | 0.061135 | 0.312312 | 333 | 17 | 36 | 19.588235 | 0.60262 | 0 | 0 | 0 | 0 | 0 | 0.039039 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 0.0625 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91266dc2fa03da47339e3882e71342b1ee45462b | 2,326 | py | Python | pbr/config/blend_config.py | NUbots/NUpbr | 49b0d2abd15512a93bfe21157269288c9ec4c54d | [
"MIT"
] | 1 | 2019-03-25T04:37:06.000Z | 2019-03-25T04:37:06.000Z | pbr/config/blend_config.py | NUbots/NUpbr | 49b0d2abd15512a93bfe21157269288c9ec4c54d | [
"MIT"
] | 3 | 2020-07-24T11:55:48.000Z | 2022-02-20T20:49:17.000Z | pbr/config/blend_config.py | NUbots/NUpbr | 49b0d2abd15512a93bfe21157269288c9ec4c54d | [
"MIT"
] | null | null | null | # Blender-specific Configuration Settings
from math import pi
render = {
"render_engine": "CYCLES",
"render": {"cycles_device": "GPU"},
"dimensions": {"resolution": [1280, 1024], "percentage": 100.0},
"sampling": {"cycles_samples": 256, "cycles_preview_samples": 16},
"light_paths": {
"tran... | 31.432432 | 85 | 0.503439 | 296 | 2,326 | 3.817568 | 0.429054 | 0.033628 | 0.013274 | 0.050442 | 0.214159 | 0.141593 | 0.102655 | 0 | 0 | 0 | 0 | 0.115362 | 0.258383 | 2,326 | 73 | 86 | 31.863014 | 0.53971 | 0.016767 | 0 | 0.03125 | 0 | 0 | 0.377243 | 0.020569 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.015625 | 0 | 0.015625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
912692288f987cd8f54127db16d2b577edc80fc1 | 7,022 | py | Python | simglucose/controller/basal_bolus_ctrller.py | mia-jingyi/simglucose | a90bd8750fce362be91668ed839b3b252bc0d58d | [
"MIT"
] | null | null | null | simglucose/controller/basal_bolus_ctrller.py | mia-jingyi/simglucose | a90bd8750fce362be91668ed839b3b252bc0d58d | [
"MIT"
] | null | null | null | simglucose/controller/basal_bolus_ctrller.py | mia-jingyi/simglucose | a90bd8750fce362be91668ed839b3b252bc0d58d | [
"MIT"
] | null | null | null | from .base import Controller
from .base import Action
import numpy as np
import pandas as pd
import logging
from collections import namedtuple
from tqdm import tqdm
logger = logging.getLogger(__name__)
CONTROL_QUEST = 'simglucose/params/Quest.csv'
PATIENT_PARA_FILE = 'simglucose/params/vpatient_params.csv'
ParamTup = ... | 38.582418 | 99 | 0.602108 | 929 | 7,022 | 4.386437 | 0.234661 | 0.013252 | 0.01227 | 0.011779 | 0.11681 | 0.063313 | 0.037301 | 0 | 0 | 0 | 0 | 0.014783 | 0.296782 | 7,022 | 182 | 100 | 38.582418 | 0.81045 | 0.182569 | 0 | 0.139706 | 0 | 0 | 0.043393 | 0.011476 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0.007353 | 0.051471 | 0.007353 | 0.213235 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
912788fe05c2b0029d03454b315f2758ce890c5a | 6,025 | py | Python | ceilometer/event/trait_plugins.py | redhat-openstack/ceilometer | 9e503d7068889e52e9144079de331ed51676e535 | [
"Apache-2.0"
] | 1 | 2016-03-10T06:55:45.000Z | 2016-03-10T06:55:45.000Z | ceilometer/event/trait_plugins.py | redhat-openstack/ceilometer | 9e503d7068889e52e9144079de331ed51676e535 | [
"Apache-2.0"
] | null | null | null | ceilometer/event/trait_plugins.py | redhat-openstack/ceilometer | 9e503d7068889e52e9144079de331ed51676e535 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2013 Rackspace Hosting.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 37.42236 | 77 | 0.550539 | 685 | 6,025 | 4.748905 | 0.308029 | 0.0332 | 0.013526 | 0.020904 | 0.070704 | 0.052874 | 0.044882 | 0.044882 | 0.044882 | 0.030741 | 0 | 0.007966 | 0.374938 | 6,025 | 160 | 78 | 37.65625 | 0.855815 | 0.616266 | 0 | 0.195652 | 0 | 0 | 0.010274 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.043478 | 0 | 0.326087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
912c4617e4d0718d34c2b278ca0d1aef755136f4 | 59,222 | py | Python | nonlinear/aorta/nonlinearCasesCreation_aorta.py | HaolinCMU/Soft_tissue_tracking | 8592b87066ddec84a3aefc18240303cb085cf34c | [
"MIT"
] | 3 | 2020-08-25T05:10:34.000Z | 2020-09-18T01:50:33.000Z | nonlinear/aorta/nonlinearCasesCreation_aorta.py | HaolinCMU/Soft_tissue_tracking | 8592b87066ddec84a3aefc18240303cb085cf34c | [
"MIT"
] | null | null | null | nonlinear/aorta/nonlinearCasesCreation_aorta.py | HaolinCMU/Soft_tissue_tracking | 8592b87066ddec84a3aefc18240303cb085cf34c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 25 13:08:16 2020
@author: haolinl
"""
import copy
import os
import time
import numpy as np
import random
import scipy.io # For extracting data from .mat file
class inputFileGenerator(object):
"""
Generate input file for Abaqus.
Unit s... | 46.594807 | 238 | 0.590473 | 6,689 | 59,222 | 4.923456 | 0.095829 | 0.017369 | 0.01166 | 0.009717 | 0.390338 | 0.294507 | 0.233079 | 0.197796 | 0.175812 | 0.156196 | 0 | 0.010634 | 0.30926 | 59,222 | 1,270 | 239 | 46.631496 | 0.794436 | 0.322228 | 0 | 0.121442 | 0 | 0 | 0.075736 | 0.009897 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051233 | false | 0 | 0.011385 | 0 | 0.096774 | 0.001898 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
912ed2b516655605fdb89fa39bcc4f1ec0c3ed2a | 2,306 | py | Python | Packs/HealthCheck/Scripts/HealthCheckIncidentsCreatedMonthly/HealthCheckIncidentsCreatedMonthly.py | mazmat-panw/content | 024a65c1dea2548e2637a9cbbe54966e9e34a722 | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | Packs/HealthCheck/Scripts/HealthCheckIncidentsCreatedMonthly/HealthCheckIncidentsCreatedMonthly.py | mazmat-panw/content | 024a65c1dea2548e2637a9cbbe54966e9e34a722 | [
"MIT"
] | 87 | 2022-02-23T12:10:53.000Z | 2022-03-31T11:29:05.000Z | Packs/HealthCheck/Scripts/HealthCheckIncidentsCreatedMonthly/HealthCheckIncidentsCreatedMonthly.py | henry-sue-pa/content | 043c6badfb4f9c80673cad9242fdea72efe301f7 | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
ctx = demisto.context()
dataFromCtx = ctx.get("widgets")
if not dataFromCtx:
incident = demisto.incidents()[0]
accountName = incident.get('account')
accountName = f"acc_{accountName}" if accountName != "" else ""
... | 27.452381 | 110 | 0.423677 | 158 | 2,306 | 6.14557 | 0.493671 | 0.046344 | 0.030896 | 0.07415 | 0.084449 | 0.084449 | 0.084449 | 0 | 0 | 0 | 0 | 0.02392 | 0.437988 | 2,306 | 83 | 111 | 27.783133 | 0.725309 | 0.019081 | 0 | 0.30137 | 0 | 0 | 0.234825 | 0.040319 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.027397 | 0 | 0.027397 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
912f4cb2d5b6031823d833fa3533c0b3fca9c0fd | 13,099 | py | Python | Bert_training.py | qzlydao/Bert_Sentiment_Analysis | 2da2d0c6da2cdb55f37ff0a7e95f0ea4876b2d61 | [
"Apache-2.0"
] | null | null | null | Bert_training.py | qzlydao/Bert_Sentiment_Analysis | 2da2d0c6da2cdb55f37ff0a7e95f0ea4876b2d61 | [
"Apache-2.0"
] | null | null | null | Bert_training.py | qzlydao/Bert_Sentiment_Analysis | 2da2d0c6da2cdb55f37ff0a7e95f0ea4876b2d61 | [
"Apache-2.0"
] | null | null | null | from torch.utils.data import DataLoader
from dataset.wiki_dataset import BERTDataset
from models.bert_model import *
from tqdm import tqdm
import numpy as np
import pandas as pd
import os
config = {}
config['train_corpus_path'] = './corpus/train_wiki.txt'
config['test_corpus_path'] = './corpus/test_wiki.txt'
config[... | 41.062696 | 130 | 0.579128 | 1,641 | 13,099 | 4.310786 | 0.176722 | 0.029686 | 0.017812 | 0.012723 | 0.283291 | 0.192112 | 0.162567 | 0.119452 | 0.104891 | 0.086231 | 0 | 0.011248 | 0.314528 | 13,099 | 318 | 131 | 41.191824 | 0.77659 | 0.066875 | 0 | 0.157658 | 0 | 0.004505 | 0.114819 | 0.014383 | 0 | 0 | 0 | 0.003145 | 0 | 1 | 0.054054 | false | 0 | 0.031532 | 0 | 0.126126 | 0.022523 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
913073679e4abf540c0706db4723633ae6619d7d | 5,757 | py | Python | python/triton/language/random.py | appliedml85/triton | 8bedcce9befbbe95d8fe0a082718edc4050e2831 | [
"MIT"
] | 1 | 2021-09-03T15:58:49.000Z | 2021-09-03T15:58:49.000Z | python/triton/language/random.py | appliedml85/triton | 8bedcce9befbbe95d8fe0a082718edc4050e2831 | [
"MIT"
] | null | null | null | python/triton/language/random.py | appliedml85/triton | 8bedcce9befbbe95d8fe0a082718edc4050e2831 | [
"MIT"
] | null | null | null | import triton
import triton.language as tl
# Notes
# 1. triton doesn't support uint32, so we use int32 instead and benefit from the fact that two's complement operations are equivalent to uint operations.
# 2. multiply_low_high is currently inefficient.
# 3. Even though technically philox sampling outputs int, in man... | 27.545455 | 153 | 0.639396 | 916 | 5,757 | 3.911572 | 0.220524 | 0.034608 | 0.038515 | 0.051354 | 0.500419 | 0.469718 | 0.448228 | 0.448228 | 0.433715 | 0.433715 | 0 | 0.089436 | 0.238666 | 5,757 | 208 | 154 | 27.677885 | 0.72804 | 0.394303 | 0 | 0.398148 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00245 | 0 | 0 | 1 | 0.157407 | false | 0 | 0.018519 | 0.064815 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9130e2a60db5f7dd70d5dc6252d49d770a1edb17 | 6,567 | py | Python | platypush/backend/joystick/linux/__init__.py | BlackLight/platypush | 6c0a8bf2599eb4ab41a6122dbd988075d8b1a63a | [
"MIT"
] | 228 | 2018-01-30T11:17:09.000Z | 2022-03-24T11:22:26.000Z | platypush/backend/joystick/linux/__init__.py | BlackLight/platypush | 6c0a8bf2599eb4ab41a6122dbd988075d8b1a63a | [
"MIT"
] | 167 | 2017-12-11T19:35:38.000Z | 2022-03-27T14:45:30.000Z | platypush/backend/joystick/linux/__init__.py | BlackLight/runbullet | 8d26c8634d2677b4402f0a21b9ab8244b44640db | [
"MIT"
] | 16 | 2018-05-03T07:31:56.000Z | 2021-12-05T19:27:37.000Z | import array
import struct
import time
from fcntl import ioctl
from typing import IO
from platypush.backend import Backend
from platypush.message.event.joystick import JoystickConnectedEvent, JoystickDisconnectedEvent, \
JoystickButtonPressedEvent, JoystickButtonReleasedEvent, JoystickAxisEvent
class JoystickLin... | 34.563158 | 115 | 0.536166 | 681 | 6,567 | 5.057269 | 0.433186 | 0.029036 | 0.036585 | 0.050523 | 0.117305 | 0.013357 | 0.013357 | 0 | 0 | 0 | 0 | 0.076202 | 0.350541 | 6,567 | 189 | 116 | 34.746032 | 0.731301 | 0.198873 | 0 | 0.057143 | 0 | 0 | 0.092263 | 0 | 0 | 0 | 0.069052 | 0 | 0 | 1 | 0.021429 | false | 0 | 0.05 | 0 | 0.092857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91319c7d1f44146497a5047e81aae4b710f7a353 | 10,043 | py | Python | src/modules/sensors/vehicle_magnetometer/mag_compensation/python/mag_compensation.py | SaxionMechatronics/Firmware | 7393d5d7610dc8d2cb64d90a5359b6c561fb642a | [
"BSD-3-Clause"
] | 4,224 | 2015-01-02T11:51:02.000Z | 2020-10-27T23:42:28.000Z | src/modules/sensors/vehicle_magnetometer/mag_compensation/python/mag_compensation.py | SaxionMechatronics/Firmware | 7393d5d7610dc8d2cb64d90a5359b6c561fb642a | [
"BSD-3-Clause"
] | 11,736 | 2015-01-01T11:59:16.000Z | 2020-10-28T17:13:38.000Z | src/modules/sensors/vehicle_magnetometer/mag_compensation/python/mag_compensation.py | SaxionMechatronics/Firmware | 7393d5d7610dc8d2cb64d90a5359b6c561fb642a | [
"BSD-3-Clause"
] | 11,850 | 2015-01-02T14:54:47.000Z | 2020-10-28T16:42:47.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
File: mag_compensation.py
Author: Tanja Baumann
Email: tanja@auterion.com
Github: https://github.com/baumanta
Description:
Computes linear coefficients for mag compensation from thrust and current
Usage:
python mag_compensation.py /path/to/log/logfile.ulg curr... | 36.787546 | 279 | 0.685054 | 1,582 | 10,043 | 4.138432 | 0.183312 | 0.028868 | 0.039713 | 0.048877 | 0.502062 | 0.436689 | 0.319383 | 0.242859 | 0.242859 | 0.219032 | 0 | 0.02804 | 0.154834 | 10,043 | 272 | 280 | 36.922794 | 0.743285 | 0.082346 | 0 | 0.137056 | 0 | 0 | 0.180661 | 0.004786 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010152 | false | 0.005076 | 0.040609 | 0 | 0.071066 | 0.045685 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
913206ffbcd62d973e6003afaac405c6a7ea1d3b | 524 | py | Python | portfolio_optimization/constants.py | AI-Traiding-Team/paired_trading | 72d4dd0071314e2f0efaa26931ca7339199fc998 | [
"MIT"
] | 1 | 2022-03-26T23:21:51.000Z | 2022-03-26T23:21:51.000Z | portfolio_optimization/constants.py | AI-Traiding-Team/paired_trading | 72d4dd0071314e2f0efaa26931ca7339199fc998 | [
"MIT"
] | null | null | null | portfolio_optimization/constants.py | AI-Traiding-Team/paired_trading | 72d4dd0071314e2f0efaa26931ca7339199fc998 | [
"MIT"
] | 3 | 2021-12-07T07:39:43.000Z | 2022-01-24T05:05:55.000Z | import os
path1 = "outputs"
path2 = "outputs/_imgs"
path3 = "outputs/max_sharpe_weights"
path4 = "outputs/opt_portfolio_trades"
try:
os.mkdir(path1)
except OSError:
print ("Директория %s уже создана" % path1)
else:
print ("Успешно создана директория %s " % path1)
try:
os.makedirs(path2)
os.makedi... | 20.153846 | 52 | 0.704198 | 66 | 524 | 5.469697 | 0.515152 | 0.083102 | 0.099723 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025463 | 0.175573 | 524 | 26 | 53 | 20.153846 | 0.810185 | 0 | 0 | 0.285714 | 0 | 0 | 0.39619 | 0.102857 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.047619 | 0 | 0.047619 | 0.190476 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91329b52b2eb8891b64c02d1b241dca7cd47466e | 26,007 | py | Python | mypy/transformtype.py | silky/mypy | de6a8d3710df9f49109cb682f2092e4967bfb92c | [
"PSF-2.0"
] | 1 | 2019-06-27T11:34:27.000Z | 2019-06-27T11:34:27.000Z | mypy/transformtype.py | silky/mypy | de6a8d3710df9f49109cb682f2092e4967bfb92c | [
"PSF-2.0"
] | null | null | null | mypy/transformtype.py | silky/mypy | de6a8d3710df9f49109cb682f2092e4967bfb92c | [
"PSF-2.0"
] | null | null | null | """Transform classes for runtime type checking."""
from typing import Undefined, List, Set, Any, cast, Tuple, Dict
from mypy.nodes import (
TypeDef, Node, FuncDef, VarDef, Block, Var, ExpressionStmt,
TypeInfo, SuperExpr, NameExpr, CallExpr, MDEF, MemberExpr, ReturnStmt,
AssignmentStmt, TypeExpr, PassStmt,... | 39.285498 | 79 | 0.560541 | 2,971 | 26,007 | 4.742174 | 0.129586 | 0.011924 | 0.012492 | 0.008517 | 0.27305 | 0.231812 | 0.196891 | 0.165519 | 0.144723 | 0.119881 | 0 | 0.002001 | 0.346714 | 26,007 | 661 | 80 | 39.344932 | 0.827251 | 0.245742 | 0 | 0.232984 | 0 | 0 | 0.017701 | 0.004146 | 0 | 0 | 0 | 0.003026 | 0.007853 | 1 | 0.073298 | false | 0.007853 | 0.041885 | 0.005236 | 0.196335 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9134284163c48ec784f6cf8bb5ff49c9902c49ec | 2,760 | py | Python | classification/imaterialist_challenge_furniture_2018/configs/train/train_inceptionresnetv2_350_ssd_like_v3.py | vfdev-5/ignite-examples | fb15b59e2b159e1e2bc4628f8756055e9154f5c8 | [
"MIT"
] | 11 | 2018-04-07T17:49:58.000Z | 2022-03-15T07:18:18.000Z | classification/imaterialist_challenge_furniture_2018/configs/train/train_inceptionresnetv2_350_ssd_like_v3.py | vfdev-5/ignite-examples | fb15b59e2b159e1e2bc4628f8756055e9154f5c8 | [
"MIT"
] | null | null | null | classification/imaterialist_challenge_furniture_2018/configs/train/train_inceptionresnetv2_350_ssd_like_v3.py | vfdev-5/ignite-examples | fb15b59e2b159e1e2bc4628f8756055e9154f5c8 | [
"MIT"
] | null | null | null | # Basic training configuration file
from torch.optim import RMSprop
from torch.optim.lr_scheduler import MultiStepLR
from torchvision.transforms import RandomHorizontalFlip, Compose
from torchvision.transforms import RandomResizedCrop, RandomAffine, RandomApply
from torchvision.transforms import ColorJitter, ToTensor, ... | 30 | 87 | 0.659058 | 323 | 2,760 | 5.44582 | 0.396285 | 0.010233 | 0.066515 | 0.009096 | 0.308698 | 0.232518 | 0.210347 | 0.129619 | 0.078454 | 0.078454 | 0 | 0.06221 | 0.219565 | 2,760 | 91 | 88 | 30.32967 | 0.75441 | 0.02029 | 0 | 0.095238 | 0 | 0 | 0.068123 | 0.028878 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.126984 | 0 | 0.126984 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
913439b2a09a820bfc3faefc3e105469f128a1a8 | 1,352 | py | Python | examples/qmmm/02-mcscf.py | QuESt-Calculator/pyscf | 0ed03633b699505c7278f1eb501342667d0aa910 | [
"Apache-2.0"
] | 501 | 2018-12-06T23:48:17.000Z | 2022-03-31T11:53:18.000Z | examples/qmmm/02-mcscf.py | QuESt-Calculator/pyscf | 0ed03633b699505c7278f1eb501342667d0aa910 | [
"Apache-2.0"
] | 710 | 2018-11-26T22:04:52.000Z | 2022-03-30T03:53:12.000Z | examples/qmmm/02-mcscf.py | QuESt-Calculator/pyscf | 0ed03633b699505c7278f1eb501342667d0aa910 | [
"Apache-2.0"
] | 273 | 2018-11-26T10:10:24.000Z | 2022-03-30T12:25:28.000Z | #!/usr/bin/env python
#
# Author: Qiming Sun <osirpt.sun@gmail.com>
#
'''
A simple example to run MCSCF with background charges.
'''
import numpy
from pyscf import gto, scf, mcscf, qmmm
mol = gto.M(atom='''
C 1.1879 -0.3829 0.0000
C 0.0000 0.5526 0.0000
O -1.1867 -0.2472 0.0000
H -1.9237 0... | 22.915254 | 76 | 0.637574 | 242 | 1,352 | 3.533058 | 0.400826 | 0.035088 | 0.018713 | 0.02807 | 0.283041 | 0.276023 | 0.250292 | 0.14152 | 0.102924 | 0.102924 | 0 | 0.147619 | 0.223373 | 1,352 | 58 | 77 | 23.310345 | 0.666667 | 0.316568 | 0 | 0.375 | 0 | 0 | 0.330752 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 0.0625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9136706832c51a492458e311e9d6b0efd4abea13 | 2,931 | py | Python | vesper/mpg_ranch/nfc_detector_low_score_classifier_1_0/classifier.py | RichardLitt/Vesper | 5360844f42a06942e7684121c650b08cf8616285 | [
"MIT"
] | 29 | 2017-07-10T14:49:15.000Z | 2022-02-02T23:14:38.000Z | vesper/mpg_ranch/nfc_detector_low_score_classifier_1_0/classifier.py | Tubbz-alt/Vesper | 76e5931ca0c7fbe070c53b1362ec246ec9007beb | [
"MIT"
] | 167 | 2015-03-17T14:45:22.000Z | 2022-03-30T21:00:05.000Z | vesper/mpg_ranch/nfc_detector_low_score_classifier_1_0/classifier.py | Tubbz-alt/Vesper | 76e5931ca0c7fbe070c53b1362ec246ec9007beb | [
"MIT"
] | 4 | 2015-02-06T03:30:27.000Z | 2020-12-27T08:38:52.000Z | """
Module containing low score classifier for MPG Ranch NFC detectors.
An instance of the `Classifier` class of this module assigns the `LowScore`
classification to a clip if the clip has no `Classification` annotation and
has a `DetectorScore` annotation whose value is less than a threshold.
This classifier is inte... | 28.735294 | 77 | 0.616172 | 323 | 2,931 | 5.427245 | 0.315789 | 0.036509 | 0.034227 | 0.03765 | 0.128351 | 0.128351 | 0.10154 | 0.073018 | 0.073018 | 0.073018 | 0 | 0.017137 | 0.323098 | 2,931 | 101 | 78 | 29.019802 | 0.866431 | 0.234391 | 0 | 0.125 | 0 | 0 | 0.072197 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.104167 | false | 0 | 0.0625 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91374929866f2c29362313f46503faaf0a90ed51 | 1,506 | py | Python | setup.py | yitzikc/athena2pd | d2d6b886a70e958f51d90103600572152eaa7bb9 | [
"MIT"
] | 1 | 2020-04-05T18:41:17.000Z | 2020-04-05T18:41:17.000Z | setup.py | yitzikc/athena2pd | d2d6b886a70e958f51d90103600572152eaa7bb9 | [
"MIT"
] | null | null | null | setup.py | yitzikc/athena2pd | d2d6b886a70e958f51d90103600572152eaa7bb9 | [
"MIT"
] | 1 | 2021-04-22T09:22:31.000Z | 2021-04-22T09:22:31.000Z | from setuptools import setup, find_packages
def find_version(path):
import re
# path shall be a plain ascii tetxt file
s = open(path, 'rt').read()
version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", s, re.M)
if version_match:
return version_match.group(1)
raise RuntimeErro... | 33.466667 | 119 | 0.653386 | 183 | 1,506 | 5.224044 | 0.617486 | 0.037657 | 0.033473 | 0.050209 | 0.073222 | 0.073222 | 0.073222 | 0.073222 | 0 | 0 | 0 | 0.015075 | 0.207171 | 1,506 | 45 | 120 | 33.466667 | 0.785595 | 0.025232 | 0 | 0.051282 | 0 | 0 | 0.316973 | 0.032038 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.051282 | 0 | 0.205128 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
913761b87b7ebbbec82bddc1bdba8144eb580e3d | 436 | py | Python | PythonBasics/ExamPreparation/FamilyTrip.py | achoraev/SoftUni | 0cc7db470a096cc33bbe0ca6bd90060b79120573 | [
"Apache-2.0"
] | null | null | null | PythonBasics/ExamPreparation/FamilyTrip.py | achoraev/SoftUni | 0cc7db470a096cc33bbe0ca6bd90060b79120573 | [
"Apache-2.0"
] | null | null | null | PythonBasics/ExamPreparation/FamilyTrip.py | achoraev/SoftUni | 0cc7db470a096cc33bbe0ca6bd90060b79120573 | [
"Apache-2.0"
] | null | null | null | budget = float(input())
nights = int(input())
price_night = float(input())
percent_extra = int(input())
if nights > 7:
price_night = price_night - (price_night * 0.05)
sum = nights * price_night
total_sum = sum + (budget * percent_extra / 100)
if total_sum <= budget:
print(f"Ivanovi will be left ... | 29.066667 | 88 | 0.655963 | 63 | 436 | 4.365079 | 0.460317 | 0.181818 | 0.109091 | 0.145455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025714 | 0.197248 | 436 | 15 | 89 | 29.066667 | 0.76 | 0 | 0 | 0 | 0 | 0 | 0.264775 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91381ad1149218813852e6f68213b5362dda4a67 | 2,573 | py | Python | tex_live_package_manager/progress.py | csch0/SublimeText-TeX-Live-Package-Manager | ab21bd49a945f611250613e9cb862a7703dc534f | [
"Unlicense",
"MIT"
] | 2 | 2018-11-03T16:15:59.000Z | 2018-11-23T16:14:57.000Z | tex_live_package_manager/progress.py | csch0/SublimeText-TeX-Live-Package-Manager | ab21bd49a945f611250613e9cb862a7703dc534f | [
"Unlicense",
"MIT"
] | 1 | 2016-12-08T05:39:58.000Z | 2016-12-08T05:39:58.000Z | tex_live_package_manager/progress.py | csch0/SublimeText-TeX-Live-Package-Manager | ab21bd49a945f611250613e9cb862a7703dc534f | [
"Unlicense",
"MIT"
] | null | null | null | import sublime, sublime_plugin
import threading
class ProcessQueueManager():
__shared = {}
items = []
thread = None
# Current item details
messages = None
function = None
callback = None
# Progress Bar preferences
i = 0
size = 8
add = 1
def __new__(cls, *args, **kwargs):
inst = object.__new__(cls)
... | 23.605505 | 86 | 0.68869 | 351 | 2,573 | 4.940171 | 0.25641 | 0.05767 | 0.037486 | 0.039216 | 0.202422 | 0.153979 | 0.153979 | 0.11015 | 0.040369 | 0 | 0 | 0.011154 | 0.198601 | 2,573 | 109 | 87 | 23.605505 | 0.829777 | 0.169841 | 0 | 0.140625 | 0 | 0 | 0.028289 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.109375 | false | 0 | 0.03125 | 0 | 0.328125 | 0.015625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91382da4e9ec5e3e22d31caf7faabb09a28c2093 | 10,199 | py | Python | moscow_routes_parser/t_mos_ru.py | rscprof/moscow_routes_parser | 692627dd43d62f70e3e12a761897571c79a022a0 | [
"MIT"
] | null | null | null | moscow_routes_parser/t_mos_ru.py | rscprof/moscow_routes_parser | 692627dd43d62f70e3e12a761897571c79a022a0 | [
"MIT"
] | null | null | null | moscow_routes_parser/t_mos_ru.py | rscprof/moscow_routes_parser | 692627dd43d62f70e3e12a761897571c79a022a0 | [
"MIT"
] | null | null | null | import html
import json
import logging
import re
from abc import abstractmethod
from datetime import datetime, time
from typing import Optional
import requests
from moscow_routes_parser.model import Route, Timetable, Equipment, Timetable_builder
from moscow_routes_parser.model_impl import Timetable_builder_t_mos_ru
... | 42.144628 | 295 | 0.531817 | 1,121 | 10,199 | 4.632471 | 0.199822 | 0.02022 | 0.018486 | 0.009243 | 0.289621 | 0.219141 | 0.176776 | 0.14404 | 0.122858 | 0.067013 | 0 | 0.022978 | 0.359937 | 10,199 | 241 | 296 | 42.319502 | 0.772518 | 0.166095 | 0 | 0.285714 | 0 | 0.005714 | 0.093085 | 0.038685 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045714 | false | 0.022857 | 0.057143 | 0 | 0.148571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
913b82f09ffffabfd9cdacbe8830d13b360f655c | 6,762 | py | Python | web/api/get_summary_data.py | spudmind/spud | 86e44bca4efd3cd6358467e1511048698a45edbc | [
"MIT"
] | 2 | 2015-04-11T12:22:41.000Z | 2016-08-18T11:12:06.000Z | web/api/get_summary_data.py | spudmind/spud | 86e44bca4efd3cd6358467e1511048698a45edbc | [
"MIT"
] | 84 | 2015-01-22T14:33:49.000Z | 2015-04-01T23:15:29.000Z | web/api/get_summary_data.py | spudmind/spud | 86e44bca4efd3cd6358467e1511048698a45edbc | [
"MIT"
] | 1 | 2015-04-16T03:10:39.000Z | 2015-04-16T03:10:39.000Z | from web.api import BaseAPI
from utils import mongo
import json
class DataApi(BaseAPI):
def __init__(self):
BaseAPI.__init__(self)
self._db = mongo.MongoInterface()
self.query = {}
self.fields = {
"donation_count": "$influences.electoral_commission.donation_count",
... | 40.981818 | 102 | 0.584147 | 668 | 6,762 | 5.525449 | 0.136228 | 0.043349 | 0.052831 | 0.065023 | 0.661338 | 0.625034 | 0.597941 | 0.458683 | 0.458683 | 0.445137 | 0 | 0.000431 | 0.313665 | 6,762 | 164 | 103 | 41.231707 | 0.794872 | 0.034161 | 0 | 0.342857 | 0 | 0 | 0.247394 | 0.124157 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064286 | false | 0 | 0.021429 | 0.014286 | 0.15 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
913c3c69be248515aa6faa8629c29e1819e26c9e | 21,616 | py | Python | neutron/common/ovn/utils.py | guillermomolina/neutron | bd2933a2588d1e0b18790dd719ca1d89aa4a0c8d | [
"Apache-2.0"
] | 3 | 2021-02-17T09:49:14.000Z | 2022-01-19T08:40:34.000Z | neutron/common/ovn/utils.py | guillermomolina/neutron | bd2933a2588d1e0b18790dd719ca1d89aa4a0c8d | [
"Apache-2.0"
] | null | null | null | neutron/common/ovn/utils.py | guillermomolina/neutron | bd2933a2588d1e0b18790dd719ca1d89aa4a0c8d | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# d... | 35.320261 | 79 | 0.672141 | 3,022 | 21,616 | 4.570483 | 0.166446 | 0.01267 | 0.007095 | 0.006082 | 0.252534 | 0.17854 | 0.147191 | 0.092963 | 0.065957 | 0.059079 | 0 | 0.005789 | 0.24084 | 21,616 | 611 | 80 | 35.378069 | 0.835893 | 0.263462 | 0 | 0.125731 | 0 | 0 | 0.068229 | 0.00475 | 0 | 0 | 0 | 0 | 0 | 1 | 0.149123 | false | 0.002924 | 0.078947 | 0.070175 | 0.400585 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
913ca9c4582e3db5d9a5c8dc80fedece649fbdb9 | 1,082 | py | Python | Submods/MAS Additions/MASM/scripts/midi_input.py | CaptainHorse/MAS-Additions | 5714aaf8cfa3c57432f6231795cbe1d75df46f74 | [
"MIT"
] | 13 | 2019-09-24T00:09:17.000Z | 2022-02-26T20:24:18.000Z | Submods/MAS Additions/MASM/scripts/midi_input.py | CaptainHorse/MAS-Additions | 5714aaf8cfa3c57432f6231795cbe1d75df46f74 | [
"MIT"
] | 30 | 2019-06-28T03:16:33.000Z | 2022-01-19T11:49:59.000Z | Submods/MAS Additions/MASM/scripts/midi_input.py | CaptainHorse/MAS-Additions | 5714aaf8cfa3c57432f6231795cbe1d75df46f74 | [
"MIT"
] | 4 | 2019-10-04T01:59:17.000Z | 2022-02-26T20:24:20.000Z | import mido
from socketer import MASM
inPort = None
doReadInput = False
def Start():
global inPort
try:
print(f"MIDI inputs: {mido.get_input_names()}")
inPort = mido.open_input()
print(f"MIDI input open: {inPort}")
except Exception as e:
inPort = None
print(f"Could not open MIDI input: {e}")
def Update(... | 29.243243 | 99 | 0.677449 | 162 | 1,082 | 4.45679 | 0.395062 | 0.027701 | 0.078947 | 0.080332 | 0.252078 | 0.160665 | 0.160665 | 0.094183 | 0.094183 | 0.094183 | 0 | 0.021814 | 0.195009 | 1,082 | 37 | 100 | 29.243243 | 0.807118 | 0.07024 | 0 | 0.294118 | 0 | 0 | 0.18607 | 0.023881 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.058824 | 0 | 0.117647 | 0.088235 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
913f9ce1958e1ba194c9448681b6fa2b1b835522 | 1,668 | py | Python | baseplate_py_upgrader/docker.py | reddit/baseplate.py-upgrader | 2e4b019de7c22e2d2467eba488867fe81d7d5fc1 | [
"BSD-3-Clause"
] | 6 | 2020-07-09T02:25:23.000Z | 2021-09-24T17:28:41.000Z | baseplate_py_upgrader/docker.py | Seanpm2001-reddit/baseplate.py-upgrader | a554418c638022b461cf5cae17e894280cf76a25 | [
"BSD-3-Clause"
] | 9 | 2019-08-13T20:29:04.000Z | 2022-03-04T19:11:47.000Z | baseplate_py_upgrader/docker.py | Seanpm2001-reddit/baseplate.py-upgrader | a554418c638022b461cf5cae17e894280cf76a25 | [
"BSD-3-Clause"
] | 4 | 2020-12-11T21:59:37.000Z | 2022-03-04T00:10:43.000Z | import logging
import re
from pathlib import Path
from typing import Match
logger = logging.getLogger(__name__)
IMAGE_RE = re.compile(
r"/baseplate-py:(?P<version>[0-9.]+(\.[0-9]+)?)-py(?P<python>[23]\.[0-9]+)-(?P<distro>(bionic|buster))(?P<repo>-artifactory)?(?P<dev>-dev)?"
)
def upgrade_docker_image_refere... | 30.327273 | 144 | 0.658873 | 227 | 1,668 | 4.612335 | 0.343612 | 0.073543 | 0.100287 | 0.106972 | 0.164279 | 0.131805 | 0.131805 | 0.131805 | 0 | 0 | 0 | 0.007502 | 0.200839 | 1,668 | 54 | 145 | 30.888889 | 0.777944 | 0 | 0 | 0 | 0 | 0.051282 | 0.193645 | 0.116906 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.102564 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
913fb3fc99b72d4e97ce88b0037ce6490e6db9c1 | 1,249 | py | Python | model/swtz_ty.py | ArcherLuo233/election-s-prediction | 9da72cb855f6d61f9cdec6e15f7ca832629ba51a | [
"MIT"
] | null | null | null | model/swtz_ty.py | ArcherLuo233/election-s-prediction | 9da72cb855f6d61f9cdec6e15f7ca832629ba51a | [
"MIT"
] | 1 | 2022-01-26T01:23:26.000Z | 2022-01-26T01:23:34.000Z | model/swtz_ty.py | ArcherLuo233/election-s-prediction | 9da72cb855f6d61f9cdec6e15f7ca832629ba51a | [
"MIT"
] | 1 | 2021-11-08T10:58:23.000Z | 2021-11-08T10:58:23.000Z | from sqlalchemy import Column, ForeignKey, Integer, String, Text
from model.base import Base
class SWTZ_TY(Base):
__tablename__ = 'swtz_ty'
class_name = '商务团组-团员'
foreign_key = 'swtz_id'
export_docx = False
export_handle_file = ['identity']
field = [
'id', 'nickname', 'job', 'id_card... | 26.020833 | 73 | 0.566853 | 140 | 1,249 | 4.892857 | 0.492857 | 0.065693 | 0.116788 | 0.128467 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017917 | 0.285028 | 1,249 | 47 | 74 | 26.574468 | 0.74916 | 0 | 0 | 0 | 0 | 0 | 0.106571 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.052632 | 0 | 0.578947 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
913fde7505a4c384507f28eb2cee97a556b8c075 | 3,515 | py | Python | amy/dashboard/tests/test_autoupdate_profile.py | code-review-doctor/amy | 268c1a199510457891459f3ddd73fcce7fe2b974 | [
"MIT"
] | 53 | 2015-01-10T17:39:19.000Z | 2019-06-12T17:36:34.000Z | amy/dashboard/tests/test_autoupdate_profile.py | code-review-doctor/amy | 268c1a199510457891459f3ddd73fcce7fe2b974 | [
"MIT"
] | 1,176 | 2015-01-02T06:32:47.000Z | 2019-06-18T11:57:47.000Z | amy/dashboard/tests/test_autoupdate_profile.py | code-review-doctor/amy | 268c1a199510457891459f3ddd73fcce7fe2b974 | [
"MIT"
] | 44 | 2015-01-03T15:08:56.000Z | 2019-06-09T05:33:08.000Z | from django.urls import reverse
from consents.models import Consent, Term
from workshops.models import KnowledgeDomain, Person, Qualification
from workshops.tests.base import TestBase
class TestAutoUpdateProfile(TestBase):
def setUp(self):
self._setUpAirports()
self._setUpLessons()
self._... | 34.80198 | 83 | 0.586629 | 377 | 3,515 | 5.331565 | 0.310345 | 0.063682 | 0.027861 | 0.029851 | 0.228856 | 0.112438 | 0.082587 | 0.049751 | 0 | 0 | 0 | 0.003992 | 0.28734 | 3,515 | 100 | 84 | 35.15 | 0.798403 | 0.011664 | 0 | 0.046512 | 0 | 0 | 0.098243 | 0 | 0 | 0 | 0 | 0 | 0.116279 | 1 | 0.034884 | false | 0.023256 | 0.046512 | 0 | 0.093023 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9140f295d54089cb5cee0de94bb54febfe097979 | 4,823 | py | Python | bot/recognizer_bot/yolo/common/utils.py | kprokofi/animal-recognition-with-voice | e9e5235315255eb6e17df3dba616b2ed4c902c92 | [
"MIT"
] | 1 | 2021-03-18T05:51:10.000Z | 2021-03-18T05:51:10.000Z | bot/recognizer_bot/yolo/common/utils.py | kprokofi/animal-recognition-with-voice | e9e5235315255eb6e17df3dba616b2ed4c902c92 | [
"MIT"
] | 3 | 2021-04-11T20:52:44.000Z | 2021-06-13T13:46:08.000Z | bot/recognizer_bot/yolo/common/utils.py | kprokofi/animal-recognition-with-voice | e9e5235315255eb6e17df3dba616b2ed4c902c92 | [
"MIT"
] | null | null | null | import numpy as np
import time
import cv2
import colorsys
import tensorflow as tf
from tensorflow.keras import backend as K
from tensorflow.keras.layers import Activation, ReLU, Multiply
# Custom objects from backbones package https://github.com/david8862/keras-YOLOv3-model-set/tree/master/common/backbones
def mish(... | 28.708333 | 120 | 0.618495 | 659 | 4,823 | 4.414264 | 0.330804 | 0.030938 | 0.016501 | 0.016501 | 0.01375 | 0 | 0 | 0 | 0 | 0 | 0 | 0.041526 | 0.261041 | 4,823 | 167 | 121 | 28.88024 | 0.774691 | 0.207755 | 0 | 0.060606 | 0 | 0 | 0.014781 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.131313 | false | 0.010101 | 0.070707 | 0.030303 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91469ce6ec9fde95e8590b13e1386757a2494a57 | 1,374 | py | Python | sow_generator/tasks.py | praekelt/sow-generator | eb5dab3b3231688966254a1797ced7eec67b6e8a | [
"BSD-3-Clause"
] | 1 | 2016-04-14T08:34:48.000Z | 2016-04-14T08:34:48.000Z | sow_generator/tasks.py | praekelt/sow-generator | eb5dab3b3231688966254a1797ced7eec67b6e8a | [
"BSD-3-Clause"
] | null | null | null | sow_generator/tasks.py | praekelt/sow-generator | eb5dab3b3231688966254a1797ced7eec67b6e8a | [
"BSD-3-Clause"
] | null | null | null | from github3 import login
from github3.models import GitHubError
from celery import task
from celery.decorators import periodic_task
from celery.task.schedules import crontab
from sow_generator.models import Repository, AuthToken
def _sync_repository(obj):
dirty = False
token = AuthToken.objects.get(id=1).to... | 29.869565 | 72 | 0.621543 | 176 | 1,374 | 4.755682 | 0.403409 | 0.066906 | 0.060932 | 0.033453 | 0.188769 | 0.188769 | 0.188769 | 0.188769 | 0.188769 | 0.188769 | 0 | 0.004946 | 0.264192 | 1,374 | 45 | 73 | 30.533333 | 0.822948 | 0.051674 | 0 | 0.228571 | 0 | 0 | 0.035466 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085714 | false | 0 | 0.171429 | 0 | 0.257143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91472db15a8c58afa56167fc11db5c1a1643924e | 10,956 | py | Python | multiworld/multiworld/core/image_env.py | yufeiwang63/ROLL | aba0b4530934946eb9c41fbe5a0d6c27775596ff | [
"MIT"
] | 11 | 2020-11-04T03:15:27.000Z | 2021-11-25T16:00:41.000Z | multiworld/multiworld/core/image_env.py | yufeiwang63/ROLL | aba0b4530934946eb9c41fbe5a0d6c27775596ff | [
"MIT"
] | null | null | null | multiworld/multiworld/core/image_env.py | yufeiwang63/ROLL | aba0b4530934946eb9c41fbe5a0d6c27775596ff | [
"MIT"
] | 3 | 2020-11-19T14:16:56.000Z | 2021-11-25T16:01:13.000Z | import random
import cv2
import numpy as np
import warnings
from PIL import Image
from gym.spaces import Box, Dict
from multiworld.core.multitask_env import MultitaskEnv
from multiworld.core.wrapper_env import ProxyEnv
from multiworld.envs.env_util import concatenate_box_spaces
from multiworld.envs.env_util import ge... | 38.174216 | 104 | 0.621486 | 1,336 | 10,956 | 4.786677 | 0.170659 | 0.043784 | 0.052541 | 0.021267 | 0.247694 | 0.179672 | 0.078342 | 0.05301 | 0.05301 | 0.046286 | 0 | 0.006805 | 0.289157 | 10,956 | 286 | 105 | 38.307692 | 0.81433 | 0.08671 | 0 | 0.104348 | 0 | 0 | 0.092938 | 0.020177 | 0 | 0 | 0 | 0 | 0.013043 | 1 | 0.069565 | false | 0 | 0.043478 | 0.004348 | 0.178261 | 0.004348 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91492cd2d90ac485784d8d45eca57302464591f8 | 21,084 | py | Python | daemon/core/coreobj.py | shanv82/core | 70abb8cc1426ffceb53a03e84edc26f56f9ed4c0 | [
"BSD-2-Clause"
] | null | null | null | daemon/core/coreobj.py | shanv82/core | 70abb8cc1426ffceb53a03e84edc26f56f9ed4c0 | [
"BSD-2-Clause"
] | null | null | null | daemon/core/coreobj.py | shanv82/core | 70abb8cc1426ffceb53a03e84edc26f56f9ed4c0 | [
"BSD-2-Clause"
] | null | null | null | """
Defines the basic objects for CORE emulation: the PyCoreObj base class, along with PyCoreNode,
PyCoreNet, and PyCoreNetIf.
"""
import os
import shutil
import socket
import threading
from socket import AF_INET
from socket import AF_INET6
from core.data import NodeData, LinkData
from core.enumerations import LinkTy... | 27.852048 | 100 | 0.558338 | 2,345 | 21,084 | 4.952239 | 0.156077 | 0.019375 | 0.002325 | 0.006458 | 0.286231 | 0.247223 | 0.233015 | 0.198054 | 0.164213 | 0.15474 | 0 | 0.004872 | 0.357475 | 21,084 | 756 | 101 | 27.888889 | 0.852366 | 0.331057 | 0 | 0.262658 | 0 | 0 | 0.019024 | 0 | 0 | 0 | 0 | 0.003968 | 0 | 1 | 0.155063 | false | 0.006329 | 0.028481 | 0 | 0.281646 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
914969a6475944053d8a15e1118e2d12ecdc9855 | 349 | py | Python | abc/128/b.py | wotsushi/competitive-programming | 17ec8fd5e1c23aee626aee70b1c0da8d7f8b8c86 | [
"MIT"
] | 3 | 2019-06-25T06:17:38.000Z | 2019-07-13T15:18:51.000Z | abc/128/b.py | wotsushi/competitive-programming | 17ec8fd5e1c23aee626aee70b1c0da8d7f8b8c86 | [
"MIT"
] | null | null | null | abc/128/b.py | wotsushi/competitive-programming | 17ec8fd5e1c23aee626aee70b1c0da8d7f8b8c86 | [
"MIT"
] | null | null | null | # 入力
N = int(input())
S, P = (
zip(*(
(s, int(p))
for s, p in (input().split() for _ in range(N))
)) if N else
((), ())
)
ans = '\n'.join(
str(i)
for _, _, i in sorted(
zip(
S,
P,
range(1, N + 1)
),
key=lambda t: (t[0], -t[... | 13.96 | 55 | 0.34384 | 49 | 349 | 2.387755 | 0.510204 | 0.051282 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020833 | 0.449857 | 349 | 24 | 56 | 14.541667 | 0.588542 | 0.014327 | 0 | 0 | 0 | 0 | 0.005865 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
914b520c0a97da68019f1f6058aa11f3ec987d8a | 1,915 | py | Python | additional/hashcat_crack.py | mmmds/WirelessDiscoverCrackScan | 2eda9bd7c474d91ea08511a7322f5ba14d034f3d | [
"MIT"
] | 2 | 2020-02-09T15:35:05.000Z | 2020-04-15T10:01:24.000Z | additional/hashcat_crack.py | mmmds/WirelessDiscoverCrackScan | 2eda9bd7c474d91ea08511a7322f5ba14d034f3d | [
"MIT"
] | null | null | null | additional/hashcat_crack.py | mmmds/WirelessDiscoverCrackScan | 2eda9bd7c474d91ea08511a7322f5ba14d034f3d | [
"MIT"
] | null | null | null | # External cracking script, part of https://github.com/mmmds/WirelessDiscoverCrackScan
import datetime
import subprocess
import os
### CONFIGURATION
HASHCAT_DIR = "C:\\hashcat-5.1.0"
HASHCAT_EXE = "hashcat64.exe"
LOG_FILE = "crack_log.txt"
DICT_DIR = "./dicts"
def load_dict_list():
for r,d,f in os.walk(DICT_DIR)... | 27.357143 | 170 | 0.518538 | 254 | 1,915 | 3.807087 | 0.330709 | 0.010341 | 0.021717 | 0.031024 | 0.020683 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026529 | 0.291384 | 1,915 | 69 | 171 | 27.753623 | 0.686072 | 0.051175 | 0 | 0.035714 | 0 | 0 | 0.09106 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089286 | false | 0.017857 | 0.053571 | 0 | 0.196429 | 0.089286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
914cfd2421dd20bdadd6d7150cecf300e7699605 | 13,463 | py | Python | lbrynet/file_manager/EncryptedFileManager.py | shyba/lbry | ab3278c50a8b7b5a8e9486a1c52be3d5e0c18297 | [
"MIT"
] | 1 | 2018-12-08T04:42:11.000Z | 2018-12-08T04:42:11.000Z | lbrynet/file_manager/EncryptedFileManager.py | mrlucky9/lbry | bf6bc02828ed55e98a3002f487041acbd7841883 | [
"MIT"
] | null | null | null | lbrynet/file_manager/EncryptedFileManager.py | mrlucky9/lbry | bf6bc02828ed55e98a3002f487041acbd7841883 | [
"MIT"
] | null | null | null | """
Keep track of which LBRY Files are downloading and store their LBRY File specific metadata
"""
import logging
import os
from twisted.enterprise import adbapi
from twisted.internet import defer, task, reactor
from twisted.python.failure import Failure
from lbrynet.reflector.reupload import reflect_stream
from lbr... | 40.18806 | 100 | 0.672733 | 1,695 | 13,463 | 5.021829 | 0.157522 | 0.078008 | 0.014803 | 0.015977 | 0.37453 | 0.239074 | 0.140625 | 0.104558 | 0.086466 | 0.080122 | 0 | 0.00199 | 0.253584 | 13,463 | 334 | 101 | 40.308383 | 0.845059 | 0.063507 | 0 | 0.18677 | 0 | 0 | 0.086035 | 0.003505 | 0 | 0 | 0 | 0.002994 | 0 | 1 | 0.14786 | false | 0.003891 | 0.054475 | 0.031128 | 0.291829 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
914ea6fbc1fedc5c88691906b2f1c1f56a6d040c | 5,907 | py | Python | fhir/immunizations_demo/models/trainer/model.py | kourtneyshort/healthcare | 1d1e2375304ac99f43a8b6aee7374fcdf641eb6f | [
"Apache-2.0"
] | null | null | null | fhir/immunizations_demo/models/trainer/model.py | kourtneyshort/healthcare | 1d1e2375304ac99f43a8b6aee7374fcdf641eb6f | [
"Apache-2.0"
] | 22 | 2019-12-16T22:18:37.000Z | 2022-03-12T00:04:43.000Z | fhir/immunizations_demo/models/trainer/model.py | kourtneyshort/healthcare | 1d1e2375304ac99f43a8b6aee7374fcdf641eb6f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
#
# Copyright 2018 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 34.54386 | 78 | 0.744033 | 838 | 5,907 | 5.088305 | 0.332936 | 0.0197 | 0.033537 | 0.025797 | 0.154081 | 0.089353 | 0.06637 | 0.046435 | 0.046435 | 0.046435 | 0 | 0.011838 | 0.156255 | 5,907 | 170 | 79 | 34.747059 | 0.8437 | 0.344507 | 0 | 0.023256 | 0 | 0 | 0.154311 | 0.01367 | 0 | 0 | 0 | 0 | 0 | 1 | 0.104651 | false | 0 | 0.023256 | 0 | 0.22093 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91504bbaea6d8835c5bee931052df81b48164c98 | 8,305 | py | Python | src/ychaos/core/verification/controller.py | sushilkar/ychaos | 6801390f0faf553789e3384440a72a0705310738 | [
"Apache-2.0"
] | null | null | null | src/ychaos/core/verification/controller.py | sushilkar/ychaos | 6801390f0faf553789e3384440a72a0705310738 | [
"Apache-2.0"
] | null | null | null | src/ychaos/core/verification/controller.py | sushilkar/ychaos | 6801390f0faf553789e3384440a72a0705310738 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021, Yahoo
# Licensed under the terms of the Apache 2.0 license. See the LICENSE file in the project root for terms
import time
from typing import Dict, List, Optional, Type
from pydantic import validate_arguments
from ...app_logger import AppLogger
from ...testplan import SystemState
from ...testplan.... | 37.40991 | 125 | 0.656352 | 906 | 8,305 | 5.846578 | 0.249448 | 0.064565 | 0.013593 | 0.016991 | 0.253162 | 0.201246 | 0.162356 | 0.111761 | 0.094393 | 0.058146 | 0 | 0.002651 | 0.273329 | 8,305 | 221 | 126 | 37.579186 | 0.875062 | 0.389043 | 0 | 0.056604 | 0 | 0 | 0.069456 | 0.013389 | 0 | 0 | 0 | 0 | 0.009434 | 1 | 0.04717 | false | 0 | 0.150943 | 0.009434 | 0.235849 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
915138c1e205dea19655e55c824d89b847b800d5 | 6,160 | py | Python | labgraph/graphs/node_test_harness.py | Yunusbcr/labgraph | a00ae7098b7b0e0eda8ce2e7e62dae86854616fb | [
"MIT"
] | 124 | 2021-07-14T21:25:59.000Z | 2022-03-08T20:40:16.000Z | labgraph/graphs/node_test_harness.py | Yunusbcr/labgraph | a00ae7098b7b0e0eda8ce2e7e62dae86854616fb | [
"MIT"
] | 46 | 2021-07-16T18:41:11.000Z | 2022-03-31T20:53:00.000Z | labgraph/graphs/node_test_harness.py | Yunusbcr/labgraph | a00ae7098b7b0e0eda8ce2e7e62dae86854616fb | [
"MIT"
] | 22 | 2021-07-16T18:34:56.000Z | 2022-03-31T15:12:06.000Z | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import asyncio
import functools
import inspect
from contextlib import contextmanager
from typing import (
Any,
AsyncIterable,
Awaitable,
Callable,
Generic,
Iterator,
List,
Mapping,
Optional,
Sequence,... | 30.49505 | 88 | 0.65276 | 827 | 6,160 | 4.70133 | 0.218863 | 0.040123 | 0.086934 | 0.013374 | 0.456276 | 0.401235 | 0.333076 | 0.291409 | 0.252058 | 0.210905 | 0 | 0.001308 | 0.255195 | 6,160 | 201 | 89 | 30.646766 | 0.84612 | 0.316396 | 0 | 0.296 | 0 | 0 | 0.044955 | 0.005245 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072 | false | 0 | 0.096 | 0 | 0.216 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9151eafe84027e81a61010f1c158d9786b978a93 | 837 | py | Python | pygamelearning/lrud.py | edward70/2021Computing | df8fb818480a6e23f2eac736744294871ec0e38c | [
"MIT"
] | null | null | null | pygamelearning/lrud.py | edward70/2021Computing | df8fb818480a6e23f2eac736744294871ec0e38c | [
"MIT"
] | null | null | null | pygamelearning/lrud.py | edward70/2021Computing | df8fb818480a6e23f2eac736744294871ec0e38c | [
"MIT"
] | null | null | null | import pygame
import sys
pygame.init()
clock = pygame.time.Clock()
screen = pygame.display.set_mode([500, 500])
gameOn = True
x1 = 0
y1 = 100
x2 = 100
y2 = 0
while gameOn == True:
screen.fill([255,255,255])
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
... | 17.808511 | 52 | 0.520908 | 117 | 837 | 3.717949 | 0.367521 | 0.018391 | 0.022989 | 0.041379 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.127273 | 0.342891 | 837 | 46 | 53 | 18.195652 | 0.663636 | 0 | 0 | 0.108108 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.054054 | 0 | 0.054054 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91522a760e718a02b548df8a5987a17cb9ed54b7 | 3,198 | py | Python | pytorch/xor/training_a_perceptron.py | e93fem/PyTorchNLPBook | c9ea9e0b3d1b8bba6a983b425c6c03dd79d3d6b0 | [
"Apache-2.0"
] | null | null | null | pytorch/xor/training_a_perceptron.py | e93fem/PyTorchNLPBook | c9ea9e0b3d1b8bba6a983b425c6c03dd79d3d6b0 | [
"Apache-2.0"
] | null | null | null | pytorch/xor/training_a_perceptron.py | e93fem/PyTorchNLPBook | c9ea9e0b3d1b8bba6a983b425c6c03dd79d3d6b0 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import torch
import matplotlib.pyplot as plt
from torch import optim, nn
from pytorch.xor.multilayer_perceptron import MultilayerPerceptron
from pytorch.xor.utils import LABELS, get_toy_data, visualize_results, plot_intermediate_representations
input_size = 2
output_size = len(set(LABELS))
num_hidd... | 30.169811 | 104 | 0.688555 | 451 | 3,198 | 4.629712 | 0.32816 | 0.038314 | 0.021073 | 0.022989 | 0.220785 | 0.202586 | 0.191571 | 0.157088 | 0.157088 | 0.104406 | 0 | 0.028899 | 0.210131 | 3,198 | 106 | 105 | 30.169811 | 0.797704 | 0.089118 | 0 | 0.055556 | 0 | 0 | 0.105372 | 0.054063 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013889 | false | 0 | 0.083333 | 0 | 0.111111 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
91539993c3d566be3d6ad8bdfd6ab2f85574f003 | 8,157 | py | Python | mysite/api/v0/tests.py | raccoongang/socraticqs2 | 06201005136ee139846f857dbb2f518736e441de | [
"Apache-2.0"
] | 3 | 2015-11-20T07:33:28.000Z | 2017-01-15T23:33:50.000Z | mysite/api/v0/tests.py | raccoongang/socraticqs2 | 06201005136ee139846f857dbb2f518736e441de | [
"Apache-2.0"
] | 28 | 2015-07-14T11:33:24.000Z | 2017-11-17T15:21:22.000Z | mysite/api/v0/tests.py | raccoongang/socraticqs2 | 06201005136ee139846f857dbb2f518736e441de | [
"Apache-2.0"
] | 4 | 2015-04-29T09:04:59.000Z | 2017-07-19T14:11:16.000Z | import json
import mock
from django.core.urlresolvers import reverse
from pymongo.errors import ServerSelectionTimeoutError
from analytics.models import CourseReport
from core.common.mongo import c_onboarding_status, _conn
from core.common import onboarding
from ct.models import UnitLesson, StudentError
from ctms.t... | 32.369048 | 113 | 0.674635 | 991 | 8,157 | 5.350151 | 0.177598 | 0.045266 | 0.061109 | 0.055451 | 0.541305 | 0.501886 | 0.490192 | 0.482459 | 0.45794 | 0.423991 | 0 | 0.014697 | 0.207552 | 8,157 | 251 | 114 | 32.498008 | 0.805538 | 0.032365 | 0 | 0.371951 | 0 | 0 | 0.064138 | 0.023416 | 0 | 0 | 0 | 0 | 0.164634 | 1 | 0.134146 | false | 0.018293 | 0.054878 | 0 | 0.268293 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9153c783ea6530b33a82747aab7d0a7d6aae69be | 8,934 | py | Python | signbank/settings/base.py | anthonymark33/Global-signbank | ae61984a24f1cc0801d4621c81b882154ce99098 | [
"BSD-3-Clause"
] | null | null | null | signbank/settings/base.py | anthonymark33/Global-signbank | ae61984a24f1cc0801d4621c81b882154ce99098 | [
"BSD-3-Clause"
] | 2 | 2021-06-10T23:11:53.000Z | 2021-12-13T20:44:56.000Z | signbank/settings/base.py | anthonymark33/Global-signbank | ae61984a24f1cc0801d4621c81b882154ce99098 | [
"BSD-3-Clause"
] | null | null | null | # Django settings for signbank project.
import os
from signbank.settings.server_specific import *
from datetime import datetime
DEBUG = True
PROJECT_DIR = os.path.dirname(BASE_DIR)
MANAGERS = ADMINS
TIME_ZONE = 'Europe/Amsterdam'
LOCALE_PATHS = [BASE_DIR+'conf/locale']
# in the database, SITE_ID 1 is example.com
... | 31.020833 | 123 | 0.694426 | 1,015 | 8,934 | 5.95468 | 0.42266 | 0.036565 | 0.020847 | 0.030774 | 0.041363 | 0.007942 | 0 | 0 | 0 | 0 | 0 | 0.010481 | 0.199015 | 8,934 | 288 | 124 | 31.020833 | 0.834125 | 0.312066 | 0 | 0.011976 | 0 | 0.005988 | 0.443733 | 0.267784 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.023952 | 0 | 0.023952 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e66c3efb17fe57a58924ade4ac24258abd570c92 | 50,042 | py | Python | ocs_ci/ocs/cluster.py | crombus/ocs-ci | 20340365882bdd06ddb6cd65bbd7df0ba7e2c2d8 | [
"MIT"
] | null | null | null | ocs_ci/ocs/cluster.py | crombus/ocs-ci | 20340365882bdd06ddb6cd65bbd7df0ba7e2c2d8 | [
"MIT"
] | null | null | null | ocs_ci/ocs/cluster.py | crombus/ocs-ci | 20340365882bdd06ddb6cd65bbd7df0ba7e2c2d8 | [
"MIT"
] | null | null | null | """
A module for all rook functionalities and abstractions.
This module has rook related classes, support for functionalities to work with
rook cluster. This works with assumptions that an OCP cluster is already
functional and proper configurations are made for interaction.
"""
import base64
import logging
import ran... | 33.56271 | 105 | 0.624675 | 6,633 | 50,042 | 4.5049 | 0.104779 | 0.018741 | 0.012516 | 0.009839 | 0.395536 | 0.312573 | 0.272749 | 0.241759 | 0.213647 | 0.193166 | 0 | 0.009078 | 0.291215 | 50,042 | 1,490 | 106 | 33.585235 | 0.833376 | 0.271952 | 0 | 0.285528 | 0 | 0 | 0.142667 | 0.006108 | 0 | 0 | 0 | 0.003356 | 0.015645 | 1 | 0.092568 | false | 0.002608 | 0.024772 | 0.006519 | 0.207301 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e66d5e1f08dc9a4e5c8cb49651bf2a219e4f50a8 | 3,621 | py | Python | scenic/projects/baselines/detr/configs/detr_config.py | techthiyanes/scenic | 05585b1189364e29d82413b9d4a50ffa8c246f0c | [
"Apache-2.0"
] | null | null | null | scenic/projects/baselines/detr/configs/detr_config.py | techthiyanes/scenic | 05585b1189364e29d82413b9d4a50ffa8c246f0c | [
"Apache-2.0"
] | null | null | null | scenic/projects/baselines/detr/configs/detr_config.py | techthiyanes/scenic | 05585b1189364e29d82413b9d4a50ffa8c246f0c | [
"Apache-2.0"
] | null | null | null | # pylint: disable=line-too-long
r"""Default configs for COCO detection using DETR.
"""
# pylint: enable=line-too-long
import copy
import ml_collections
_COCO_TRAIN_SIZE = 118287
NUM_EPOCHS = 300
def get_config():
"""Returns the configuration for COCO detection using DETR."""
config = ml_collections.ConfigDict()... | 34.160377 | 111 | 0.775753 | 491 | 3,621 | 5.421589 | 0.358452 | 0.030428 | 0.039444 | 0.05447 | 0.12284 | 0.045455 | 0 | 0 | 0 | 0 | 0 | 0.028865 | 0.138912 | 3,621 | 105 | 112 | 34.485714 | 0.824888 | 0.182546 | 0 | 0 | 0 | 0 | 0.053657 | 0.019822 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013514 | false | 0 | 0.027027 | 0 | 0.054054 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e66dd9b0c4524178c41ae4349d387915dbfbc5a0 | 2,105 | py | Python | prepare_cicero_peaks.py | lab-medvedeva/SCABFA-feature-selection | d5cd7568e667a75f75e753d9ab9dc645f3166902 | [
"MIT"
] | null | null | null | prepare_cicero_peaks.py | lab-medvedeva/SCABFA-feature-selection | d5cd7568e667a75f75e753d9ab9dc645f3166902 | [
"MIT"
] | null | null | null | prepare_cicero_peaks.py | lab-medvedeva/SCABFA-feature-selection | d5cd7568e667a75f75e753d9ab9dc645f3166902 | [
"MIT"
] | null | null | null | from scale.dataset import read_mtx
from argparse import ArgumentParser
import pandas as pd
import numpy as np
import os
def parse_args():
parser = ArgumentParser('Preparing raw peaks from cicero pipeline')
parser.add_argument('--dataset_path', help='Path to Scale dataset: count, feature, barcode folder')
... | 40.480769 | 113 | 0.669359 | 291 | 2,105 | 4.591065 | 0.309278 | 0.047904 | 0.068114 | 0.031437 | 0.167665 | 0.13997 | 0.13997 | 0.083832 | 0.083832 | 0.083832 | 0 | 0.008125 | 0.181473 | 2,105 | 51 | 114 | 41.27451 | 0.767266 | 0.045131 | 0 | 0 | 0 | 0.025 | 0.207773 | 0.035376 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.125 | 0 | 0.2 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e670e0b486388fd350ec3090250f4bbe49211d07 | 6,225 | py | Python | wasch/tests.py | waschag-tvk/pywaschedv | 8f0428827c4c1c7e9462eaa94ba02290db1c340f | [
"MIT"
] | 1 | 2020-01-17T16:35:10.000Z | 2020-01-17T16:35:10.000Z | wasch/tests.py | waschag-tvk/pywaschedv | 8f0428827c4c1c7e9462eaa94ba02290db1c340f | [
"MIT"
] | 6 | 2018-06-01T15:02:11.000Z | 2018-09-04T15:33:05.000Z | wasch/tests.py | waschag-tvk/pywaschedv | 8f0428827c4c1c7e9462eaa94ba02290db1c340f | [
"MIT"
] | null | null | null | import datetime
from django.utils import timezone
from django.test import TestCase
from django.contrib.auth.models import (
User,
)
from wasch.models import (
Appointment,
WashUser,
WashParameters,
# not models:
AppointmentError,
StatusRights,
)
from wasch import tvkutils, payment
class Wa... | 42.060811 | 79 | 0.676948 | 591 | 6,225 | 7.040609 | 0.204738 | 0.064888 | 0.050228 | 0.071377 | 0.504206 | 0.416246 | 0.416246 | 0.355203 | 0.267243 | 0.163422 | 0 | 0.007566 | 0.235663 | 6,225 | 147 | 80 | 42.346939 | 0.866961 | 0.031165 | 0 | 0.382353 | 0 | 0 | 0.005482 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.051471 | false | 0 | 0.044118 | 0 | 0.154412 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e672d8fb22849a3e49b4cf1505ef89fb8d62430d | 2,018 | py | Python | day17/module.py | arcadecoffee/advent-2021 | 57d24cd6ba6e2b4d7e68ea492b955b73eaad7b6a | [
"MIT"
] | null | null | null | day17/module.py | arcadecoffee/advent-2021 | 57d24cd6ba6e2b4d7e68ea492b955b73eaad7b6a | [
"MIT"
] | null | null | null | day17/module.py | arcadecoffee/advent-2021 | 57d24cd6ba6e2b4d7e68ea492b955b73eaad7b6a | [
"MIT"
] | null | null | null | """
Advent of Code 2021 - Day 17
https://adventofcode.com/2021/day/17
"""
import re
from math import ceil, sqrt
from typing import List, Tuple
DAY = 17
FULL_INPUT_FILE = f'../inputs/day{DAY:02d}/input.full.txt'
TEST_INPUT_FILE = f'../inputs/day{DAY:02d}/input.test.txt'
def load_data(infile_path: str) -> Tuple[int,... | 29.246377 | 92 | 0.617939 | 335 | 2,018 | 3.486567 | 0.268657 | 0.05137 | 0.03339 | 0.046233 | 0.239726 | 0.239726 | 0.171233 | 0.171233 | 0.085616 | 0.085616 | 0 | 0.05304 | 0.233895 | 2,018 | 68 | 93 | 29.676471 | 0.702458 | 0.03221 | 0 | 0.043478 | 0 | 0 | 0.096144 | 0.048843 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.065217 | 0.021739 | 0.347826 | 0.043478 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e67406a638efa86479227542aee6a924595e4826 | 4,235 | py | Python | src/main/python/depysible/domain/rete.py | stefano-bragaglia/DePYsible | 6b53ede459a10f5e24da89d3ebaa05f08ec7af12 | [
"BSD-2-Clause"
] | 4 | 2018-09-24T23:51:05.000Z | 2021-01-06T09:13:52.000Z | src/main/python/depysible/domain/rete.py | stefano-bragaglia/DefeasiblePython | 6b53ede459a10f5e24da89d3ebaa05f08ec7af12 | [
"BSD-2-Clause"
] | 1 | 2020-05-26T01:14:44.000Z | 2020-05-27T07:54:15.000Z | src/main/python/depysible/domain/rete.py | stefano-bragaglia/DePYsible | 6b53ede459a10f5e24da89d3ebaa05f08ec7af12 | [
"BSD-2-Clause"
] | null | null | null | from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
Payload = Tuple[List['Literal'], 'Substitutions']
class Root:
def __init__(self):
self.children = set()
def notify(self, ground: 'Literal'):
for child in self.children:
child.not... | 32.083333 | 100 | 0.563872 | 515 | 4,235 | 4.514563 | 0.130097 | 0.025806 | 0.036129 | 0.04086 | 0.327742 | 0.284301 | 0.260215 | 0.233548 | 0.196989 | 0.196989 | 0 | 0.013236 | 0.322078 | 4,235 | 131 | 101 | 32.328244 | 0.796587 | 0.033766 | 0 | 0.267327 | 0 | 0 | 0.051872 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108911 | false | 0 | 0.049505 | 0 | 0.237624 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e6751ce031099f22bcc8f169d0324a7aff0147ed | 15,501 | py | Python | pythonbot_1.0/GameData.py | jeffreyzli/pokerbot-2017 | df2aa31d6aaf0e3162d24ae5f4c2a918ab19831f | [
"MIT"
] | 1 | 2017-01-18T21:25:21.000Z | 2017-01-18T21:25:21.000Z | pythonbot_1.0/GameData.py | jeffreyzli/pokerbot-2017 | df2aa31d6aaf0e3162d24ae5f4c2a918ab19831f | [
"MIT"
] | null | null | null | pythonbot_1.0/GameData.py | jeffreyzli/pokerbot-2017 | df2aa31d6aaf0e3162d24ae5f4c2a918ab19831f | [
"MIT"
] | 3 | 2017-02-06T04:35:02.000Z | 2020-03-08T18:56:25.000Z | import HandRankings as Hand
from deuces.deuces import Card, Evaluator
class GameData:
def __init__(self, name, opponent_name, stack_size, bb):
# match stats
self.name = name
self.opponent_name = opponent_name
self.starting_stack_size = int(stack_size)
self.num_hands = 0
... | 43.298883 | 102 | 0.48055 | 1,701 | 15,501 | 4.100529 | 0.068783 | 0.098065 | 0.053333 | 0.048746 | 0.698351 | 0.629247 | 0.588387 | 0.535771 | 0.499211 | 0.493047 | 0 | 0.016226 | 0.451326 | 15,501 | 357 | 103 | 43.420168 | 0.80388 | 0.007741 | 0 | 0.657817 | 0 | 0 | 0.015936 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014749 | false | 0 | 0.0059 | 0 | 0.035398 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e675c9e19056933d226c148a0c8e55351caf07f1 | 20,377 | py | Python | examples/Tutorial/Example/app.py | DrewLazzeriKitware/trame | fdc73f07f17d2601e1b1d3934d2d6326a3c0281e | [
"BSD-3-Clause"
] | null | null | null | examples/Tutorial/Example/app.py | DrewLazzeriKitware/trame | fdc73f07f17d2601e1b1d3934d2d6326a3c0281e | [
"BSD-3-Clause"
] | null | null | null | examples/Tutorial/Example/app.py | DrewLazzeriKitware/trame | fdc73f07f17d2601e1b1d3934d2d6326a3c0281e | [
"BSD-3-Clause"
] | null | null | null | import os
from trame import change, update_state
from trame.layouts import SinglePageWithDrawer
from trame.html import vtk, vuetify, widgets
from vtkmodules.vtkCommonDataModel import vtkDataObject
from vtkmodules.vtkFiltersCore import vtkContourFilter
from vtkmodules.vtkIOXML import vtkXMLUnstructuredGridReader
from ... | 31.739875 | 81 | 0.55332 | 1,855 | 20,377 | 5.863073 | 0.162803 | 0.00423 | 0.019309 | 0.025745 | 0.334958 | 0.297812 | 0.250736 | 0.224255 | 0.190051 | 0.184075 | 0 | 0.01246 | 0.224125 | 20,377 | 641 | 82 | 31.789392 | 0.675459 | 0.171517 | 0 | 0.360262 | 0 | 0 | 0.097857 | 0.010952 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050218 | false | 0 | 0.024017 | 0 | 0.098253 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e6773e141755afe2a0e2167251aa0bc85bd1863f | 2,849 | py | Python | webots_ros2_tutorials/webots_ros2_tutorials/master.py | AleBurzio11/webots_ros2 | 99fa4a1a9d467e4ba71eff17ddf4e82444c78938 | [
"Apache-2.0"
] | 1 | 2021-09-09T13:11:15.000Z | 2021-09-09T13:11:15.000Z | webots_ros2_tutorials/webots_ros2_tutorials/master.py | fmrico/webots_ros2 | 38d88e01fe174a8a00731f554f1a8646b9127bd2 | [
"Apache-2.0"
] | 1 | 2021-07-08T08:29:26.000Z | 2021-10-01T07:57:12.000Z | webots_ros2_tutorials/webots_ros2_tutorials/master.py | fmrico/webots_ros2 | 38d88e01fe174a8a00731f554f1a8646b9127bd2 | [
"Apache-2.0"
] | null | null | null | # Copyright 1996-2021 Soft_illusion.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 29.677083 | 88 | 0.657073 | 383 | 2,849 | 4.720627 | 0.375979 | 0.060841 | 0.033186 | 0.039823 | 0.191372 | 0.084624 | 0 | 0 | 0 | 0 | 0 | 0.024125 | 0.257985 | 2,849 | 95 | 89 | 29.989474 | 0.831126 | 0.274833 | 0 | 0.076923 | 0 | 0 | 0.026921 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.076923 | 0 | 0.211538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e67851bbe8e0d15c96340d34374c9950c15106d4 | 13,892 | py | Python | favorite_files.py | jasondavis/FavoriteFiles | be088259ac36383399eebe85d8d5b35e235d25b0 | [
"MIT",
"Unlicense"
] | 1 | 2019-04-27T20:13:19.000Z | 2019-04-27T20:13:19.000Z | favorite_files.py | jasondavis/FavoriteFiles | be088259ac36383399eebe85d8d5b35e235d25b0 | [
"MIT",
"Unlicense"
] | null | null | null | favorite_files.py | jasondavis/FavoriteFiles | be088259ac36383399eebe85d8d5b35e235d25b0 | [
"MIT",
"Unlicense"
] | null | null | null | '''
Favorite Files
Licensed under MIT
Copyright (c) 2012 Isaac Muse <isaacmuse@gmail.com>
'''
import sublime
import sublime_plugin
from os.path import join, exists, normpath
from favorites import Favorites
Favs = Favorites(join(sublime.packages_path(), 'User', 'favorite_files_list.json'))
class Refresh:
dummy_f... | 37.444744 | 136 | 0.500864 | 1,532 | 13,892 | 4.413185 | 0.140339 | 0.042893 | 0.026623 | 0.019672 | 0.450081 | 0.391066 | 0.315338 | 0.301435 | 0.281467 | 0.239018 | 0 | 0.008734 | 0.414843 | 13,892 | 370 | 137 | 37.545946 | 0.822979 | 0.115678 | 0 | 0.512727 | 0 | 0 | 0.061008 | 0.006788 | 0 | 0 | 0 | 0.002703 | 0 | 1 | 0.065455 | false | 0 | 0.014545 | 0.003636 | 0.127273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e679989ea74254d7fd372bced3748665b5351845 | 4,361 | py | Python | sc2clanman/views.py | paskausks/sc2cm | 9c80e581933531496333d4a54c40174d4fb583a5 | [
"MIT"
] | null | null | null | sc2clanman/views.py | paskausks/sc2cm | 9c80e581933531496333d4a54c40174d4fb583a5 | [
"MIT"
] | null | null | null | sc2clanman/views.py | paskausks/sc2cm | 9c80e581933531496333d4a54c40174d4fb583a5 | [
"MIT"
] | null | null | null | #!/bin/env python3
from collections import Counter
from django.conf import settings
from django.contrib.auth.decorators import login_required, permission_required
from django.db import models as dm
from django.shortcuts import get_object_or_404, render
from django.views.generic.list import BaseListView
from django.vie... | 33.037879 | 110 | 0.661546 | 532 | 4,361 | 5.244361 | 0.315789 | 0.043369 | 0.040143 | 0.024373 | 0.239427 | 0.21828 | 0.189247 | 0.189247 | 0.141935 | 0.141935 | 0 | 0.006807 | 0.225178 | 4,361 | 131 | 111 | 33.290076 | 0.818881 | 0.120385 | 0 | 0.179487 | 0 | 0 | 0.105639 | 0.012444 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064103 | false | 0.025641 | 0.115385 | 0.012821 | 0.423077 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e67c1789de35ce33eb29e291ba0e431b4c1c574b | 4,002 | py | Python | tacker/api/v1/resource.py | mail2nsrajesh/tacker | dce6690659836c2885f1cf8227c19be234f8fe25 | [
"Apache-2.0"
] | null | null | null | tacker/api/v1/resource.py | mail2nsrajesh/tacker | dce6690659836c2885f1cf8227c19be234f8fe25 | [
"Apache-2.0"
] | null | null | null | tacker/api/v1/resource.py | mail2nsrajesh/tacker | dce6690659836c2885f1cf8227c19be234f8fe25 | [
"Apache-2.0"
] | null | null | null | # Copyright 2012 OpenStack Foundation.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... | 33.630252 | 78 | 0.613193 | 449 | 4,002 | 5.318486 | 0.400891 | 0.032245 | 0.010888 | 0.0134 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011761 | 0.298851 | 4,002 | 118 | 79 | 33.915254 | 0.839273 | 0.235382 | 0 | 0.028169 | 0 | 0 | 0.081842 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042254 | false | 0.014085 | 0.056338 | 0 | 0.183099 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e67c30a42d5e25d4e6e974aeebd81a4f702b3cd2 | 5,417 | py | Python | akinator/utils.py | GitHubEmploy/akinator.py | 67c688b0332f4caa72bacc8fbc8f95abfe2290c9 | [
"MIT"
] | null | null | null | akinator/utils.py | GitHubEmploy/akinator.py | 67c688b0332f4caa72bacc8fbc8f95abfe2290c9 | [
"MIT"
] | null | null | null | akinator/utils.py | GitHubEmploy/akinator.py | 67c688b0332f4caa72bacc8fbc8f95abfe2290c9 | [
"MIT"
] | null | null | null | """
MIT License
Copyright (c) 2019 NinjaSnail1080
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
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