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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
20c83995292e682498e01d8809458f2de8d3b1a0 | 1,875 | py | Python | faculty/clients/auth.py | jkeelan/faculty | 3cf50f243fba1bfe7a346de88654d3616ac35b15 | [
"Apache-2.0"
] | null | null | null | faculty/clients/auth.py | jkeelan/faculty | 3cf50f243fba1bfe7a346de88654d3616ac35b15 | [
"Apache-2.0"
] | null | null | null | faculty/clients/auth.py | jkeelan/faculty | 3cf50f243fba1bfe7a346de88654d3616ac35b15 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018-2019 Faculty Science Limited
#
# 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... | 30.241935 | 74 | 0.691733 | 1,244 | 0.663467 | 0 | 0 | 0 | 0 | 0 | 0 | 1,518 | 0.8096 |
20c8dc629ba478e2775bf9fa36b8d56bb2d26c1d | 2,612 | py | Python | ward_mapping/migrations/0001_initial.py | Suraj1127/ward-mapping-application | 53fa39bab875ca47fdab814fd28ea0b7d2086c15 | [
"MIT"
] | 1 | 2019-05-16T04:08:40.000Z | 2019-05-16T04:08:40.000Z | ward_mapping/migrations/0001_initial.py | Suraj1127/ward-mapping-application | 53fa39bab875ca47fdab814fd28ea0b7d2086c15 | [
"MIT"
] | null | null | null | ward_mapping/migrations/0001_initial.py | Suraj1127/ward-mapping-application | 53fa39bab875ca47fdab814fd28ea0b7d2086c15 | [
"MIT"
] | null | null | null | # Generated by Django 2.2 on 2019-05-15 16:43
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Map2011',
fields=[
('id', models.AutoField(au... | 46.642857 | 114 | 0.584227 | 2,521 | 0.965161 | 0 | 0 | 0 | 0 | 0 | 0 | 483 | 0.184916 |
20ca4306616ba4229666606128bb772fe88420f6 | 2,704 | py | Python | hangingart/space.py | IanRichardDavies/HangingArt | 94f6321c6e3bd6c73d479a33b6b18d3bfbaf371a | [
"MIT"
] | null | null | null | hangingart/space.py | IanRichardDavies/HangingArt | 94f6321c6e3bd6c73d479a33b6b18d3bfbaf371a | [
"MIT"
] | null | null | null | hangingart/space.py | IanRichardDavies/HangingArt | 94f6321c6e3bd6c73d479a33b6b18d3bfbaf371a | [
"MIT"
] | null | null | null | """
Module concerning Space objects
"""
# Python Libraries
# First Party Imports
class Space:
"""
Class holding logic for each individual surface
upon which art can be hung.
#TODO: more documentation
"""
def __init__(
self,
max_hor_dim: float = 0.0,
min_hor_dim: float... | 29.714286 | 67 | 0.566938 | 2,620 | 0.968935 | 0 | 0 | 0 | 0 | 0 | 0 | 551 | 0.203772 |
20cc5934d839eb06728df2e30f577167bc2cdc91 | 5,443 | py | Python | main.py | yycho0108/2048_tf | b29a8a20d051a464814957e153ea7c099576bc0a | [
"MIT"
] | 1 | 2017-09-07T22:47:52.000Z | 2017-09-07T22:47:52.000Z | main.py | yycho0108/2048_tf | b29a8a20d051a464814957e153ea7c099576bc0a | [
"MIT"
] | null | null | null | main.py | yycho0108/2048_tf | b29a8a20d051a464814957e153ea7c099576bc0a | [
"MIT"
] | 1 | 2020-04-12T16:12:20.000Z | 2020-04-12T16:12:20.000Z | #!/usr/bin/python
import sys
import numpy as np
import tensorflow as tf
from memory import Memory, MultiMemory
from qnet import *
from layers import *
from game import Game
## Load Parameters
gamma = .99 #Discount factor.
num_episodes = 10000 #Total number of episodes to train network for.
test_episodes = 200 #Total... | 31.645349 | 112 | 0.570825 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 929 | 0.170678 |
20cca36f0660a5cec8d40a240e5c97178d31a054 | 5,511 | py | Python | predict.py | ciampluca/counting_perineuronal_nets | 29463a4810b74943ee5234673e9e0816716b7fee | [
"Apache-2.0"
] | 6 | 2021-12-16T13:47:56.000Z | 2022-02-05T09:49:37.000Z | predict.py | ciampluca/counting_perineuronal_nets | 29463a4810b74943ee5234673e9e0816716b7fee | [
"Apache-2.0"
] | 1 | 2021-06-28T17:09:48.000Z | 2021-06-28T18:58:04.000Z | predict.py | ciampluca/counting_perineuronal_nets | 29463a4810b74943ee5234673e9e0816716b7fee | [
"Apache-2.0"
] | null | null | null | import argparse
from pathlib import Path
import hydra
from omegaconf import OmegaConf
import torch
from torch.utils.data import DataLoader
from tqdm import tqdm
from datasets.patched_datasets import PatchedMultiImageDataset, RandomAccessMultiImageDataset
@torch.no_grad()
def score_patches(loader, model, device, cfg)... | 43.054688 | 141 | 0.678098 | 0 | 0 | 0 | 0 | 604 | 0.109599 | 0 | 0 | 1,313 | 0.238251 |
20cda404e20b8445bfe6243758a4bf304606f130 | 375 | py | Python | test/test.py | innovate-invent/configutator | 372b45c44a10171b8518e61f2a7974969304c33a | [
"MIT"
] | null | null | null | test/test.py | innovate-invent/configutator | 372b45c44a10171b8518e61f2a7974969304c33a | [
"MIT"
] | 1 | 2017-09-22T05:52:54.000Z | 2017-09-22T05:52:54.000Z | test/test.py | innovate-invent/configutator | 372b45c44a10171b8518e61f2a7974969304c33a | [
"MIT"
] | null | null | null | from configutator import ConfigMap, ArgMap, EnvMap, loadConfig
import sys
def test(param1: int, param2: str):
"""
This is a test
:param param1: An integer
:param param2: A string
:return: Print the params
"""
print(param1, param2)
if __name__ == '__main__':
for argMap in loadConfig(sys... | 22.058824 | 62 | 0.642667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 134 | 0.357333 |
20cdadc43f7f0fbddcc40c1c7b51c46475d844b7 | 2,384 | py | Python | app/ecommerce/admin.py | nguyenanhtuan21/ecommerce-django | df29b31073b8e24ae9fbb294ca0c3ba8c81c09ae | [
"MIT"
] | 1 | 2019-12-16T16:45:11.000Z | 2019-12-16T16:45:11.000Z | app/ecommerce/admin.py | nguyenanhtuan21/ecommerce-django | df29b31073b8e24ae9fbb294ca0c3ba8c81c09ae | [
"MIT"
] | 3 | 2021-06-04T22:05:06.000Z | 2021-09-22T18:05:05.000Z | app/ecommerce/admin.py | nguyenanhtuan21/ecommerce-django | df29b31073b8e24ae9fbb294ca0c3ba8c81c09ae | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Brand, Product, Profile, Instagram, OrderItem,Order
from django.utils.html import format_html
# Register your models here.
def make_published(modeladmin, request, queryset):
queryset.update(name='Váy')
make_published.short_description = "Mark selected stories as... | 40.40678 | 149 | 0.707215 | 1,777 | 0.745073 | 0 | 0 | 0 | 0 | 0 | 0 | 766 | 0.321174 |
20cdcbc31867bb9709b928a4acae70fbdca1641b | 3,211 | py | Python | util/dates.py | cumanachao/utopia-crm | 6d648971c427ca9f380b15ed0ceaf5767b88e8b9 | [
"BSD-3-Clause"
] | 13 | 2020-12-14T19:56:04.000Z | 2021-11-06T13:24:48.000Z | util/dates.py | cumanachao/utopia-crm | 6d648971c427ca9f380b15ed0ceaf5767b88e8b9 | [
"BSD-3-Clause"
] | 5 | 2020-12-14T19:56:30.000Z | 2021-09-22T22:09:39.000Z | util/dates.py | cumanachao/utopia-crm | 6d648971c427ca9f380b15ed0ceaf5767b88e8b9 | [
"BSD-3-Clause"
] | 3 | 2021-03-24T03:55:08.000Z | 2022-01-13T15:22:34.000Z | import calendar
from datetime import date, datetime, timedelta
from time import localtime
from django.utils.translation import ugettext_lazy as _
def add_business_days(from_date, add_days):
"""
This is just used to add business days to a function. Should be moved to util.
"""
business_days_to_add = ad... | 30.875 | 116 | 0.638742 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 886 | 0.275927 |
20cfca94bf1866157bf1f47a272c02db1e2ee2a1 | 1,211 | py | Python | leetcode/9isPalindrome.py | wanglingyun/interview-questions | 41aad1146c1cf8cfff741a0127ce973733fdcac6 | [
"Apache-2.0"
] | null | null | null | leetcode/9isPalindrome.py | wanglingyun/interview-questions | 41aad1146c1cf8cfff741a0127ce973733fdcac6 | [
"Apache-2.0"
] | null | null | null | leetcode/9isPalindrome.py | wanglingyun/interview-questions | 41aad1146c1cf8cfff741a0127ce973733fdcac6 | [
"Apache-2.0"
] | null | null | null | # Definition for singly-linked list.
import unittest
import math
class TestClass(unittest.TestCase):
def isPalindrome(self, x: int) -> bool:
if(x<0):
return False
rx = self.reverseNum(x)
return rx == x
def reverseNum(self,x: int):
rx = 0
while x>=1:
... | 22.425926 | 44 | 0.523534 | 1,097 | 0.905863 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.037985 |
20d0880440126c65c69df8c4573d843710e04d7e | 433 | py | Python | polyglot/utils.py | riccardoFasan/deeply | b025d2b85282d6934edc8c2f824ca9ad68a8ba08 | [
"MIT"
] | 2 | 2022-03-14T17:47:20.000Z | 2022-03-20T09:51:27.000Z | polyglot/utils.py | riccardoFasan/deepl-translator-script | b025d2b85282d6934edc8c2f824ca9ad68a8ba08 | [
"MIT"
] | 1 | 2022-03-31T07:00:28.000Z | 2022-03-31T07:01:05.000Z | polyglot/utils.py | riccardoFasan/deepl-translator-script | b025d2b85282d6934edc8c2f824ca9ad68a8ba08 | [
"MIT"
] | 1 | 2021-12-28T09:21:31.000Z | 2021-12-28T09:21:31.000Z | from typing import Any, Iterator, Optional
import colorama
DownloadedDocumentStream = Optional[Iterator[Any]]
def get_truncated_text(text: str, limit: int) -> str:
return text[:limit] + "..." if len(text) > limit else text
def get_color_by_percentage(percentage: int) -> str:
if percentage > 90:
retu... | 25.470588 | 62 | 0.706697 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0.011547 |
20d29550aa2f57d0c74fa67f5970acb95e350f79 | 2,771 | py | Python | LocadoraDeFilmes/funcoes_dos_filmes.py | JoaoVitorBernardino/Sistema-de-locadora-de-filmes | cf0cd0d8c9ad49fe48ab14626f241c4e0bb39846 | [
"MIT"
] | null | null | null | LocadoraDeFilmes/funcoes_dos_filmes.py | JoaoVitorBernardino/Sistema-de-locadora-de-filmes | cf0cd0d8c9ad49fe48ab14626f241c4e0bb39846 | [
"MIT"
] | null | null | null | LocadoraDeFilmes/funcoes_dos_filmes.py | JoaoVitorBernardino/Sistema-de-locadora-de-filmes | cf0cd0d8c9ad49fe48ab14626f241c4e0bb39846 | [
"MIT"
] | null | null | null | import os
from DataBase.dados_filmes import *
from DataBase.dados_aluguel import *
def cadastrar_filme():
os.system('cls' if os.name == 'nt' else 'clear')
nome = input('Digite o nome do filme: ')
ano = input('Digite o ano de lançamento do filme: ')
codigo = input('Digite o código do filme: ')
filme... | 32.6 | 103 | 0.582461 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 897 | 0.321736 |
20d2eced67b2dc37a106dd6188cfaac2ce3f1efd | 599 | py | Python | find-optional-modules/delete-pyc.py | berkut-174/salt-windows-msi | 3a0b9c891db95dfcfc5daa518305e1a5cc20d1b0 | [
"Apache-2.0"
] | null | null | null | find-optional-modules/delete-pyc.py | berkut-174/salt-windows-msi | 3a0b9c891db95dfcfc5daa518305e1a5cc20d1b0 | [
"Apache-2.0"
] | null | null | null | find-optional-modules/delete-pyc.py | berkut-174/salt-windows-msi | 3a0b9c891db95dfcfc5daa518305e1a5cc20d1b0 | [
"Apache-2.0"
] | null | null | null | ''' delete pyc except salt-minion.pyc '''
from __future__ import print_function
import os
SRCDIR = r'c:\salt'
def action(start_path):
skipped = 0
deleted = 0
for dirpath, dirnames, filenames in os.walk(start_path):
for f in filenames:
fp = os.path.join(dirpath, f)
if fp.en... | 23.038462 | 60 | 0.534224 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 98 | 0.163606 |
20d36a5f003e151ad485d22dfd0ea098ae87f73e | 387 | py | Python | DeepLearningAI/notification.py | philson-philip/harp | 8e38573cad1c3e16c062044a8f011658293d1531 | [
"MIT"
] | 1 | 2019-02-08T20:14:14.000Z | 2019-02-08T20:14:14.000Z | DeepLearningAI/notification.py | philson-philip/harp | 8e38573cad1c3e16c062044a8f011658293d1531 | [
"MIT"
] | 6 | 2021-03-18T22:10:34.000Z | 2022-03-11T23:40:16.000Z | DeepLearningAI/notification.py | philson-philip/harp | 8e38573cad1c3e16c062044a8f011658293d1531 | [
"MIT"
] | 3 | 2019-02-08T20:14:23.000Z | 2019-03-10T06:10:07.000Z | from win10toast import ToastNotifier
import time
def Notify(MessageTitle,MessageBody):
toaster = ToastNotifier()
toaster.show_toast(MessageTitle,
MessageBody,
icon_path="logo.ico",
duration=3,threaded=True)
from playsound import playsound
playsound('Notifi... | 35.181818 | 53 | 0.689922 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0.074935 |
20d57f78d8a0255a09b457d1362b139f81bf6db0 | 2,883 | py | Python | datasets/cifar10.py | killianlevacher/defenseInvGAN-src | 8fa398536773c5bc00c906562d2d9359572b8157 | [
"MIT"
] | 14 | 2019-12-12T11:28:18.000Z | 2022-03-09T11:56:04.000Z | datasets/cifar10.py | killianlevacher/defenseInvGAN-src | 8fa398536773c5bc00c906562d2d9359572b8157 | [
"MIT"
] | 7 | 2019-12-16T22:20:01.000Z | 2022-02-10T00:45:21.000Z | datasets/cifar10.py | killianlevacher/defenseInvGAN-src | 8fa398536773c5bc00c906562d2d9359572b8157 | [
"MIT"
] | 2 | 2020-04-01T09:02:00.000Z | 2021-08-01T14:27:11.000Z | import os
import numpy as np
import cPickle as pickle
from datasets.dataset import Dataset
class Cifar10(Dataset):
"""Implements the Dataset class to handle CIFAR-10.
Attributes:
y_dim: The dimension of label vectors (number of classes).
split_data: A dictionary of
{
... | 30.347368 | 101 | 0.534513 | 2,789 | 0.967395 | 0 | 0 | 0 | 0 | 0 | 0 | 979 | 0.339577 |
20d64baaf85f6901221960787dd47f6f3ae74d9b | 759 | py | Python | tests/test_collide.py | csayres/kaiju | 0b4ca4fab5322351b97b8316b2d755d91bc05c16 | [
"BSD-3-Clause"
] | null | null | null | tests/test_collide.py | csayres/kaiju | 0b4ca4fab5322351b97b8316b2d755d91bc05c16 | [
"BSD-3-Clause"
] | null | null | null | tests/test_collide.py | csayres/kaiju | 0b4ca4fab5322351b97b8316b2d755d91bc05c16 | [
"BSD-3-Clause"
] | null | null | null | import pytest
import kaiju
from kaiju.robotGrid import RobotGridNominal
from kaiju import utils
def test_collide(plot=False):
# should make a grid
rg = RobotGridNominal()
collidedRobotIDs = []
for rid, r in rg.robotDict.items():
if r.holeID == "R-13C1":
r.setAlphaBeta(90,0)
coll... | 24.483871 | 104 | 0.648221 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.084321 |
20d675e25832cd9793c5f67b4cb83f944dbf455c | 2,839 | py | Python | Lib/site-packages/psycopg/__init__.py | RosaSineSpinis/twitter_bitcon_tag_analyser | 3311022b6fd629ce85f0c4fa0516e310bed05d74 | [
"bzip2-1.0.6"
] | null | null | null | Lib/site-packages/psycopg/__init__.py | RosaSineSpinis/twitter_bitcon_tag_analyser | 3311022b6fd629ce85f0c4fa0516e310bed05d74 | [
"bzip2-1.0.6"
] | null | null | null | Lib/site-packages/psycopg/__init__.py | RosaSineSpinis/twitter_bitcon_tag_analyser | 3311022b6fd629ce85f0c4fa0516e310bed05d74 | [
"bzip2-1.0.6"
] | null | null | null | """
psycopg -- PostgreSQL database adapter for Python
"""
# Copyright (C) 2020-2021 The Psycopg Team
import logging
from . import pq # noqa: F401 import early to stabilize side effects
from . import types
from . import postgres
from .copy import Copy, AsyncCopy
from ._enums import IsolationLevel
from .cursor import... | 27.563107 | 76 | 0.738288 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,247 | 0.439239 |
20d72cb6f933da26640aaaa4fbce23b2cbb317bd | 434 | py | Python | Datasets/Terrain/us_ned_topo_diversity.py | liuxb555/earthengine-py-examples | cff5d154b15a17d6a241e3c003b7fc9a2c5903f3 | [
"MIT"
] | 75 | 2020-06-09T14:40:11.000Z | 2022-03-07T08:38:10.000Z | Datasets/Terrain/us_ned_topo_diversity.py | gentaprekazi/earthengine-py-examples | 76ae8e071a71b343f5e464077afa5b0ed2f9314c | [
"MIT"
] | 1 | 2022-03-15T02:23:45.000Z | 2022-03-15T02:23:45.000Z | Datasets/Terrain/us_ned_topo_diversity.py | gentaprekazi/earthengine-py-examples | 76ae8e071a71b343f5e464077afa5b0ed2f9314c | [
"MIT"
] | 35 | 2020-06-12T23:23:48.000Z | 2021-11-15T17:34:50.000Z | import ee
import geemap
# Create a map centered at (lat, lon).
Map = geemap.Map(center=[40, -100], zoom=4)
dataset = ee.Image('CSP/ERGo/1_0/US/topoDiversity')
usTopographicDiversity = dataset.select('constant')
usTopographicDiversityVis = {
'min': 0.0,
'max': 1.0,
}
Map.setCenter(-111.313, 39.724, 6)
Map.addLaye... | 21.7 | 54 | 0.71659 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0.306452 |
20d89580fd6577e22f09078f9105ed4eb217404f | 6,139 | py | Python | cnn_to_mlp.py | minimario/CNN-Cert | 0dd60a8e8277cfecef3ab4d1ed055e62f92fd71c | [
"Apache-2.0"
] | 54 | 2020-09-09T12:43:43.000Z | 2022-03-17T17:31:19.000Z | cnn_to_mlp.py | jinzh154/CNN-Cert | 0dd60a8e8277cfecef3ab4d1ed055e62f92fd71c | [
"Apache-2.0"
] | 9 | 2019-04-26T15:33:21.000Z | 2022-02-17T13:20:47.000Z | cnn_to_mlp.py | jinzh154/CNN-Cert | 0dd60a8e8277cfecef3ab4d1ed055e62f92fd71c | [
"Apache-2.0"
] | 16 | 2019-02-17T03:02:36.000Z | 2021-05-17T13:59:07.000Z | """
cnn_to_mlp.py
Converts CNNs to MLP networks
Copyright (C) 2018, Akhilan Boopathy <akhilan@mit.edu>
Lily Weng <twweng@mit.edu>
Pin-Yu Chen <Pin-Yu.Chen@ibm.com>
Sijia Liu <Sijia.Liu@ibm.com>
Luca Daniel <dluca@mit.edu>
"""
from tenso... | 42.93007 | 127 | 0.620948 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,971 | 0.321062 |
20da2372e14378343601425914ba9a4d487c8b91 | 5,328 | py | Python | libsymple.py | aoeftiger/PySymple | 00b887a59a107426d940aeb1e42a30a521b5729d | [
"MIT"
] | 1 | 2019-12-18T15:30:19.000Z | 2019-12-18T15:30:19.000Z | libsymple.py | aoeftiger/PySymple | 00b887a59a107426d940aeb1e42a30a521b5729d | [
"MIT"
] | null | null | null | libsymple.py | aoeftiger/PySymple | 00b887a59a107426d940aeb1e42a30a521b5729d | [
"MIT"
] | null | null | null | '''
Copyright 2014 by Adrian Oeftiger, oeftiger@cern.ch
This module provides various numerical integration methods
for Hamiltonian vector fields on (currently two-dimensional) phase space.
The integrators are separated according to symplecticity.
The method is_symple() is provided to check for symplecticity
of a given... | 45.152542 | 77 | 0.647147 | 3,974 | 0.745871 | 0 | 0 | 3,158 | 0.592718 | 0 | 0 | 2,219 | 0.416479 |
20dc7c2e8b065dfa920a34dee44b90c37f1c51a5 | 256 | py | Python | Rasp_Pi_2018/should_i_water/water_plants_task.py | BitKnitting/should_I_water | 8d849671892b7bbc9e947e0ba041c4c3527b6bbd | [
"MIT"
] | 2 | 2018-05-20T00:26:31.000Z | 2018-06-13T16:22:48.000Z | Rasp_Pi_2018/should_i_water/water_plants_task.py | BitKnitting/should_I_water | 8d849671892b7bbc9e947e0ba041c4c3527b6bbd | [
"MIT"
] | null | null | null | Rasp_Pi_2018/should_i_water/water_plants_task.py | BitKnitting/should_I_water | 8d849671892b7bbc9e947e0ba041c4c3527b6bbd | [
"MIT"
] | null | null | null | import os
import sys
LIB_PATH = os.environ['LADYBUG_LIB_PATH']
sys.path.append(LIB_PATH)
from water_plants_lib import WaterPlants
###############
if __name__ == "__main__":
water_plants = WaterPlants()
water_plants.send_start_watering_packets()
| 19.692308 | 46 | 0.734375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0.167969 |
20de1adfff69feef6f33b16295086d0f5529ee20 | 2,055 | py | Python | undp-transparency-portal-be/undp_admin/api_views.py | undp/transparencyportal | 244fbb82c05d119f0acbe7f5efbb44572d9150a0 | [
"CC-BY-3.0"
] | 5 | 2019-09-10T15:05:18.000Z | 2022-02-02T02:53:32.000Z | undp-transparency-portal-be/undp_admin/api_views.py | undp/transparencyportal | 244fbb82c05d119f0acbe7f5efbb44572d9150a0 | [
"CC-BY-3.0"
] | 4 | 2019-04-02T15:02:20.000Z | 2021-11-09T10:55:32.000Z | undp-transparency-portal-be/undp_admin/api_views.py | undp/transparencyportal | 244fbb82c05d119f0acbe7f5efbb44572d9150a0 | [
"CC-BY-3.0"
] | 2 | 2021-09-01T14:30:29.000Z | 2021-09-01T14:32:57.000Z | from django.shortcuts import render
# Create your views here.
from rest_framework.views import APIView
from rest_framework.viewsets import GenericViewSet
from undp_admin.models import AboutUs, AdminLog, JOBS, LOG_STATUSES
from undp_admin.serializers import AboutUsSerializer
from utilities.mixins import ResponseViewMi... | 39.519231 | 96 | 0.697324 | 1,600 | 0.778589 | 0 | 0 | 0 | 0 | 0 | 0 | 293 | 0.142579 |
20df1df6d17c6f6ed2e728f416d617232f800db9 | 2,681 | py | Python | COVIDSafepassage/passsystem/admin.py | VICS-CORE/safepassage_server | 58bc04dbfa55430c0218567211e5259de77518ae | [
"MIT"
] | null | null | null | COVIDSafepassage/passsystem/admin.py | VICS-CORE/safepassage_server | 58bc04dbfa55430c0218567211e5259de77518ae | [
"MIT"
] | 8 | 2020-04-25T09:42:25.000Z | 2022-03-12T00:23:32.000Z | COVIDSafepassage/passsystem/admin.py | VICS-CORE/safepassage_server | 58bc04dbfa55430c0218567211e5259de77518ae | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Pass, User, Organisation, Roles, Vehicle, Identity, Team
from treebeard.admin import TreeAdmin
from treebeard.forms import movenodeform_factory
class AdminUserView(admin.ModelAdmin):
model = User
readonly_fields = ('user_id',)
list_display = ... | 37.760563 | 121 | 0.70981 | 2,109 | 0.786647 | 0 | 0 | 0 | 0 | 0 | 0 | 1,134 | 0.422977 |
20df31b6f10759e65d52beef5fda7d1f46c80d54 | 1,592 | py | Python | python/climate_ae/data_generator/utils.py | kueddelmaier/latent-linear-adjustment-autoencoders | f180732695a6c2abd8a9ad9d8cfeed2f82f047bb | [
"MIT"
] | 3 | 2020-10-29T19:08:27.000Z | 2021-08-14T09:19:48.000Z | python/climate_ae/data_generator/utils.py | kueddelmaier/latent-linear-adjustment-autoencoders | f180732695a6c2abd8a9ad9d8cfeed2f82f047bb | [
"MIT"
] | 6 | 2020-11-13T19:01:07.000Z | 2022-01-04T09:34:05.000Z | python/climate_ae/data_generator/utils.py | kueddelmaier/latent-linear-adjustment-autoencoders | f180732695a6c2abd8a9ad9d8cfeed2f82f047bb | [
"MIT"
] | 1 | 2021-03-01T15:28:56.000Z | 2021-03-01T15:28:56.000Z | import numpy as np
import tensorflow as tf
def parse_dataset(example_proto, img_size_h, img_size_w, img_size_d, dim_anno1,
dim_anno2, dim_anno3, dtype_img=tf.float64):
features = {
'inputs': tf.io.FixedLenFeature(shape=[], dtype=tf.string),
'annotations': tf.io.FixedLenFeature(shape=[dim_anno... | 41.894737 | 84 | 0.704774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 136 | 0.085427 |
20df33ace10cb4d9d76d4f800c169534a71238a5 | 78 | py | Python | uci_janggi/__init__.py | sprinter89/uci_janggi | 1acdf8db9a186eb44be6c462329c9965f5952f7e | [
"MIT"
] | null | null | null | uci_janggi/__init__.py | sprinter89/uci_janggi | 1acdf8db9a186eb44be6c462329c9965f5952f7e | [
"MIT"
] | null | null | null | uci_janggi/__init__.py | sprinter89/uci_janggi | 1acdf8db9a186eb44be6c462329c9965f5952f7e | [
"MIT"
] | null | null | null | #this file does nothing except informing pypi that uci_janggi.py is a package
| 39 | 77 | 0.820513 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.987179 |
20e0cbef167c1c068cc1264bcbdca5e71f4391df | 8,251 | py | Python | app/app/api/views.py | dtcooper/crazyarms | 71ea0e58958233daaceb8750043f74ef1a141079 | [
"MIT"
] | 15 | 2021-01-18T17:16:51.000Z | 2022-03-28T22:16:19.000Z | app/app/api/views.py | dtcooper/carb | 71ea0e58958233daaceb8750043f74ef1a141079 | [
"MIT"
] | 4 | 2021-03-14T16:28:40.000Z | 2021-03-31T16:48:49.000Z | app/app/api/views.py | dtcooper/carb | 71ea0e58958233daaceb8750043f74ef1a141079 | [
"MIT"
] | 3 | 2021-07-15T02:24:19.000Z | 2022-03-18T11:50:05.000Z | import json
import logging
from django.conf import settings
from django.contrib.auth import authenticate
from django.http import HttpResponse, HttpResponseBadRequest, HttpResponseForbidden, JsonResponse
from django.utils.decorators import method_decorator
from django.views import View
from django.views.decorators.csrf... | 37 | 120 | 0.5769 | 7,566 | 0.91698 | 0 | 0 | 1,519 | 0.184099 | 0 | 0 | 1,533 | 0.185796 |
20e14f7ef604899504925d65072a7843fff0a6db | 40,435 | py | Python | notebooks/Users/kasri@berkeley.edu/final_project_team25_centrality.py | superli3/ucb-w261-sp2021-team25 | 102e9859e878a54f84554e66425097217a0485e7 | [
"Apache-2.0"
] | null | null | null | notebooks/Users/kasri@berkeley.edu/final_project_team25_centrality.py | superli3/ucb-w261-sp2021-team25 | 102e9859e878a54f84554e66425097217a0485e7 | [
"Apache-2.0"
] | null | null | null | notebooks/Users/kasri@berkeley.edu/final_project_team25_centrality.py | superli3/ucb-w261-sp2021-team25 | 102e9859e878a54f84554e66425097217a0485e7 | [
"Apache-2.0"
] | 1 | 2021-04-19T20:41:48.000Z | 2021-04-19T20:41:48.000Z | // Databricks notebook source
// MAGIC %md
// MAGIC
// MAGIC W261 Final Project
// MAGIC ------------------
// MAGIC ## Graph Centrality for Airline Delay Prediction
// MAGIC
// MAGIC #### Justin Trobec, Jeff Li, Sonya Chen, Karthik Srinivasan
// MAGIC #### Spring 2021, Section 5
// MAGIC #### Group 25
// COMMAN... | 35.130321 | 656 | 0.679609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15,190 | 0.375665 |
20e282771bc57317c73491a2286791812cf8bb2b | 2,715 | py | Python | microsim/column_names.py | dabreegster/RAMP-UA | 04b7473aed441080ee10b6f68eb8b9135dac6879 | [
"MIT"
] | 10 | 2020-07-01T15:04:28.000Z | 2021-11-01T17:04:27.000Z | microsim/column_names.py | dabreegster/RAMP-UA | 04b7473aed441080ee10b6f68eb8b9135dac6879 | [
"MIT"
] | 229 | 2020-05-12T12:21:57.000Z | 2022-03-22T09:40:12.000Z | microsim/column_names.py | dabreegster/RAMP-UA | 04b7473aed441080ee10b6f68eb8b9135dac6879 | [
"MIT"
] | 10 | 2020-04-29T16:17:28.000Z | 2021-12-23T13:11:30.000Z | class ColumnNames:
"""Used to record standard dataframe column names used throughout"""
LOCATION_DANGER = "Danger" # Danger associated with a location
LOCATION_NAME = "Location_Name" # Name of a location
LOCATION_ID = "ID" # Unique ID for each location
# Define the different types of activities... | 46.810345 | 115 | 0.704236 | 2,715 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1,661 | 0.611786 |
20e4504512f6f3017cd6e385cfabae07f81ee87a | 382 | py | Python | datasets/script/ds_cut_last.py | PoCInnovation/SmartShark | 2cf5eb32306fb5bd88972f44331322ae58d4bb2c | [
"MIT"
] | 26 | 2020-11-26T13:05:31.000Z | 2022-03-22T11:04:41.000Z | datasets/script/ds_cut_last.py | PoCFrance/SmartShark | 2cf5eb32306fb5bd88972f44331322ae58d4bb2c | [
"MIT"
] | 4 | 2020-09-26T16:30:47.000Z | 2022-03-06T18:02:52.000Z | datasets/script/ds_cut_last.py | PoCFrance/SmartShark | 2cf5eb32306fb5bd88972f44331322ae58d4bb2c | [
"MIT"
] | 9 | 2021-01-19T16:44:23.000Z | 2022-02-15T21:06:29.000Z | fichier = open("/run/media/Thytu/TOSHIBA EXT/PoC/Smartshark/DS/ds_benign_cleaned_div_3.csv", "r")
pos = 12 #pos to flatten
def flat_line(line, target):
index = 0
pos = 0
for l in line:
pos += 1
if (l == ','):
index += 1
if index == target:
break;
print(l... | 21.222222 | 97 | 0.552356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 97 | 0.253927 |
20e53640a34afd90bd7994b855aba3b499daef58 | 835 | py | Python | Scripts/python/setup_k8s_thirdparty.py | SnowPhoenix0105/ToolSite | c5084010665434711867b1b5cd4915fe79ab2c7b | [
"MIT"
] | null | null | null | Scripts/python/setup_k8s_thirdparty.py | SnowPhoenix0105/ToolSite | c5084010665434711867b1b5cd4915fe79ab2c7b | [
"MIT"
] | 7 | 2021-08-28T09:27:39.000Z | 2021-09-26T15:35:13.000Z | Scripts/python/setup_k8s_thirdparty.py | SnowPhoenix0105/ToolSite | c5084010665434711867b1b5cd4915fe79ab2c7b | [
"MIT"
] | null | null | null |
from python.utils.cmd_exec import cmd_exec
import json
import logging
from python.utils.path import Path, pcat
from logging import DEBUG
from python.utils.log import config_logging
_logger = logging.getLogger(__name__)
def setup_k8s_thirdparty():
list_path = Path.SCRIPTS_CONFIG_K8S_THIRD_PARTY_LIST
_logger.... | 29.821429 | 65 | 0.728144 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 0.130539 |
20e5596dc72fd005174ca47cd9087713926d0058 | 1,506 | py | Python | utils/callbacks.py | YossiAsher/utils | c389d061378fca0b5495691c999f93adfa882faf | [
"MIT"
] | null | null | null | utils/callbacks.py | YossiAsher/utils | c389d061378fca0b5495691c999f93adfa882faf | [
"MIT"
] | null | null | null | utils/callbacks.py | YossiAsher/utils | c389d061378fca0b5495691c999f93adfa882faf | [
"MIT"
] | null | null | null | import os.path
import glob
import wandb
import numpy as np
from tensorflow.keras.callbacks import Callback
class ValLog(Callback):
def __init__(self, dataset=None, table="predictions", project="svg-attention6", run=""):
super().__init__()
self.dataset = dataset
self.table_name = table
... | 40.702703 | 97 | 0.616866 | 1,395 | 0.926295 | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 0.096282 |
20e603c9bd357a4fc46fca97e132ad4376a93633 | 12,680 | py | Python | cirrocumulus/anndata_util.py | PfizerRD/cirrocumulus | c7ce0c8c3c246282046e6d373d60442af55d3f09 | [
"BSD-3-Clause"
] | null | null | null | cirrocumulus/anndata_util.py | PfizerRD/cirrocumulus | c7ce0c8c3c246282046e6d373d60442af55d3f09 | [
"BSD-3-Clause"
] | null | null | null | cirrocumulus/anndata_util.py | PfizerRD/cirrocumulus | c7ce0c8c3c246282046e6d373d60442af55d3f09 | [
"BSD-3-Clause"
] | 1 | 2022-02-06T23:08:26.000Z | 2022-02-06T23:08:26.000Z | import anndata
import numpy as np
import pandas as pd
DATA_TYPE_MODULE = 'module'
DATA_TYPE_UNS_KEY = 'data_type'
ADATA_MODULE_UNS_KEY = 'anndata_module'
def get_base(adata):
base = None
if 'log1p' in adata.uns and adata.uns['log1p']['base'] is not None:
base = adata.uns['log1p'][base]
return bas... | 41.168831 | 135 | 0.596688 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,197 | 0.173265 |
20e63d705639da49401b6833ac2f7010dc3cf8e6 | 23,612 | py | Python | apps/cumulative_gdd.py | ua-snap/usda-dash | caeab072728a5c78b63b1547985f3e6476b348fa | [
"MIT"
] | null | null | null | apps/cumulative_gdd.py | ua-snap/usda-dash | caeab072728a5c78b63b1547985f3e6476b348fa | [
"MIT"
] | 17 | 2020-01-22T00:15:52.000Z | 2021-11-04T21:35:37.000Z | apps/cumulative_gdd.py | ua-snap/usda-dash | caeab072728a5c78b63b1547985f3e6476b348fa | [
"MIT"
] | 1 | 2022-03-31T04:39:34.000Z | 2022-03-31T04:39:34.000Z | #!/usr/bin/env python3
"""
Template for SNAP Dash apps.
"""
import os
import json
import plotly.graph_objs as go
import xarray as xr
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_dangerously_set_inner_html as ddsih
import dash_table
import pandas as pd
import geopandas ... | 34.825959 | 3,692 | 0.380103 | 0 | 0 | 0 | 0 | 14,938 | 0.631895 | 0 | 0 | 10,980 | 0.464467 |
20e69aa1204b71354dd606f9dd415d38b56a677a | 15,298 | py | Python | tests/integration/test_occ.py | aavcc/taiga-openshift | 7c33284573ceed38f755b8159ad83f3f68d2f7cb | [
"MIT"
] | null | null | null | tests/integration/test_occ.py | aavcc/taiga-openshift | 7c33284573ceed38f755b8159ad83f3f68d2f7cb | [
"MIT"
] | 12 | 2019-11-25T14:08:32.000Z | 2021-06-24T10:35:51.000Z | tests/integration/test_occ.py | threefoldtech/Threefold-Circles | cbc433796b25cf7af9a295af65d665a4a279e2d6 | [
"Apache-2.0"
] | 1 | 2018-06-07T10:58:15.000Z | 2018-06-07T10:58:15.000Z | # -*- coding: utf-8 -*-
# Copyright (C) 2014-2017 Andrey Antukh <niwi@niwi.nz>
# Copyright (C) 2014-2017 Jesús Espino <jespinog@gmail.com>
# Copyright (C) 2014-2017 David Barragán <bameda@dbarragan.com>
# Copyright (C) 2014-2017 Alejandro Alonso <alejandro.alonso@kaleidos.net>
# This program is free software: you can r... | 42.376731 | 88 | 0.664727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,600 | 0.235294 |
20e7676617875b614527d964e3fa868094f4c605 | 4,450 | py | Python | python-code/dlib-learning/face_reco_from_camera.py | juxiangwu/image-processing | c644ef3386973b2b983c6b6b08f15dc8d52cd39f | [
"Apache-2.0"
] | 13 | 2018-09-07T02:29:07.000Z | 2021-06-18T08:40:09.000Z | python-code/dlib-learning/face_reco_from_camera.py | juxiangwu/image-processing | c644ef3386973b2b983c6b6b08f15dc8d52cd39f | [
"Apache-2.0"
] | null | null | null | python-code/dlib-learning/face_reco_from_camera.py | juxiangwu/image-processing | c644ef3386973b2b983c6b6b08f15dc8d52cd39f | [
"Apache-2.0"
] | 4 | 2019-06-20T00:09:39.000Z | 2021-07-15T10:14:36.000Z | # created at 2018-05-11
# updated at 2018-08-23
# support multi-faces now
# By coneypo
# Blog: http://www.cnblogs.com/AdaminXie
# GitHub: https://github.com/coneypo/Dlib_face_recognition_from_camera
import dlib # 人脸识别的库dlib
import numpy as np # 数据处理的库numpy
import cv2 # 图像处理的库OpenCv
import pandas as p... | 28.164557 | 120 | 0.634382 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,273 | 0.435608 |
20e848a5145974495ecc337b35a8d2b22c5a5616 | 340 | py | Python | tpow/examples/check_read_rom.py | sken10/tpow | 6accbfe133a41959c2d35d5c8401e622d4f9efc2 | [
"MIT"
] | 1 | 2020-10-31T05:37:41.000Z | 2020-10-31T05:37:41.000Z | tpow/examples/check_read_rom.py | sken10/tpow | 6accbfe133a41959c2d35d5c8401e622d4f9efc2 | [
"MIT"
] | null | null | null | tpow/examples/check_read_rom.py | sken10/tpow | 6accbfe133a41959c2d35d5c8401e622d4f9efc2 | [
"MIT"
] | null | null | null | """check_read_rom.py
get ROMID of 1-wire device.
assume only one 1-wire device on the bus.
"""
import tpow.usb9097
import tpow.device
import cfg
bus = tpow.usb9097.USB9097(cfg.com_port) # USB9097('COM3')
id_little = tpow.device.read_rom(bus)
id_big = [a for a in reversed(id_little)]
print(" ".join(['%02X' % ord(a) ... | 21.25 | 59 | 0.711765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 122 | 0.358824 |
20e8ac2901c046279a37346f2a01171b0a59374c | 1,522 | py | Python | common/xrd-ui-tests-python/tests/xroad_trust_view_details_cs_ca/XroadTrustViewDetailsCsCa.py | ria-ee/XTM | 6103f3f5bbba387b8b59b050c0c4f1fb2180fc37 | [
"MIT"
] | 3 | 2018-03-15T14:22:50.000Z | 2021-11-08T10:30:35.000Z | common/xrd-ui-tests-python/tests/xroad_trust_view_details_cs_ca/XroadTrustViewDetailsCsCa.py | ria-ee/XTM | 6103f3f5bbba387b8b59b050c0c4f1fb2180fc37 | [
"MIT"
] | 11 | 2017-04-06T09:25:41.000Z | 2018-06-04T09:08:48.000Z | common/xrd-ui-tests-python/tests/xroad_trust_view_details_cs_ca/XroadTrustViewDetailsCsCa.py | ria-ee/XTM | 6103f3f5bbba387b8b59b050c0c4f1fb2180fc37 | [
"MIT"
] | 20 | 2017-03-14T07:21:58.000Z | 2019-05-21T09:26:30.000Z | # coding=utf-8
import unittest
from main.maincontroller import MainController
import view_management
"""
UC TRUST_02: View the Details of a Certification Service CA
RIA URL: https://jira.ria.ee/browse/XTKB-185
Depends on finishing other test(s):
Requires helper scenarios:
X-Road version: 6.16.0
"""
class Xroad... | 31.708333 | 131 | 0.657687 | 1,212 | 0.795798 | 0 | 0 | 0 | 0 | 0 | 0 | 554 | 0.363756 |
20eb0a186ef36f16b32ac0c98a703bfa733a0d35 | 8,002 | py | Python | test/test_jarsigner_sign_command.py | fullstaq-labs/venafi-codesigning-gitlab | 0799ce7e6b74c8d1836a01b509dc5f50541356b3 | [
"Apache-2.0"
] | null | null | null | test/test_jarsigner_sign_command.py | fullstaq-labs/venafi-codesigning-gitlab | 0799ce7e6b74c8d1836a01b509dc5f50541356b3 | [
"Apache-2.0"
] | 1 | 2021-07-12T09:06:53.000Z | 2021-07-12T09:06:53.000Z | test/test_jarsigner_sign_command.py | fullstaq-labs/venafi-codesigning-gitlab | 0799ce7e6b74c8d1836a01b509dc5f50541356b3 | [
"Apache-2.0"
] | null | null | null | from venafi_codesigning_gitlab_integration.jarsigner_sign_command import JarsignerSignConfig
from venafi_codesigning_gitlab_integration.jarsigner_sign_command import JarsignerSignCommand
from venafi_codesigning_gitlab_integration import utils
import pytest
import logging
import subprocess
import os
import re
fake_tpp_... | 33.481172 | 97 | 0.676456 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,866 | 0.233192 |
20eb50420f20c4e8a8059ec57505d6d0d5ad5fae | 1,602 | py | Python | GreyNsights/utils.py | kamathhrishi/GreyNSights | 9a79b8ed04ccb4a9dd538c425ed6da00ebd1b00f | [
"MIT"
] | 19 | 2021-02-24T12:28:04.000Z | 2021-10-06T11:55:46.000Z | GreyNsights/utils.py | kamathhrishi/GreyNSights | 9a79b8ed04ccb4a9dd538c425ed6da00ebd1b00f | [
"MIT"
] | 2 | 2021-08-11T01:25:14.000Z | 2021-08-11T01:26:32.000Z | GreyNsights/utils.py | kamathhrishi/GreyNSights | 9a79b8ed04ccb4a9dd538c425ed6da00ebd1b00f | [
"MIT"
] | null | null | null | # python dependencies
import codecs
import pickle
import struct
def pickle_string_to_obj(obj):
return pickle.loads(codecs.decode(obj, "base64"))
def get_encoded_obj(obj):
return codecs.encode(pickle.dumps(obj), "base64").decode()
def log_message(msg_type: str, message: str):
"""The default style of lo... | 22.56338 | 72 | 0.637328 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 496 | 0.309613 |
20eced0df909101c4f435345f41c4866a1674f9a | 138 | py | Python | test/resources/inspectors/python/case27_using_requests.py | nihalshetty-boop/hyperstyle | 9a6d53cd1ca220d97d296c0087056b5885b26281 | [
"Apache-2.0"
] | 18 | 2020-10-05T16:48:11.000Z | 2022-03-22T04:15:38.000Z | test/resources/inspectors/python/case27_using_requests.py | nihalshetty-boop/hyperstyle | 9a6d53cd1ca220d97d296c0087056b5885b26281 | [
"Apache-2.0"
] | 60 | 2020-10-05T17:01:05.000Z | 2022-01-27T12:46:14.000Z | test/resources/inspectors/python/case27_using_requests.py | nihalshetty-boop/hyperstyle | 9a6d53cd1ca220d97d296c0087056b5885b26281 | [
"Apache-2.0"
] | 6 | 2021-02-09T09:31:19.000Z | 2021-08-13T07:45:51.000Z | import requests
def do_search(bookstore_url, params):
return requests.get(url=bookstore_url,
params=params)
| 19.714286 | 42 | 0.652174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
20ed1b39d69f2ba4a229353cc72ed388d06f0047 | 4,568 | py | Python | scripts/location_map_report.py | xperylabhub/iLEAPP | fd1b301bf2094387f51ccdbd10ed233ce9abd687 | [
"MIT"
] | null | null | null | scripts/location_map_report.py | xperylabhub/iLEAPP | fd1b301bf2094387f51ccdbd10ed233ce9abd687 | [
"MIT"
] | null | null | null | scripts/location_map_report.py | xperylabhub/iLEAPP | fd1b301bf2094387f51ccdbd10ed233ce9abd687 | [
"MIT"
] | null | null | null | # coding: utf-8
#Import the necessary Python modules
import pandas as pd
import folium
from folium.plugins import TimestampedGeoJson
from shapely.geometry import Point
import os
from datetime import datetime
from branca.element import Template, MacroElement
import html
from scripts.location_map_constants import iLEAPP_... | 35.968504 | 170 | 0.613835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 869 | 0.190236 |
20eec783eef37492901442687717aaffec487075 | 48 | py | Python | onebarangay_psql/statistics/__init__.py | PrynsTag/oneBarangay-PostgreSQL | 11d7b97b57603f4c88948905560a22a5314409ce | [
"Apache-2.0"
] | null | null | null | onebarangay_psql/statistics/__init__.py | PrynsTag/oneBarangay-PostgreSQL | 11d7b97b57603f4c88948905560a22a5314409ce | [
"Apache-2.0"
] | 43 | 2022-02-07T00:18:35.000Z | 2022-03-21T04:42:48.000Z | onebarangay_psql/statistics/__init__.py | PrynsTag/oneBarangay-PostgreSQL | 11d7b97b57603f4c88948905560a22a5314409ce | [
"Apache-2.0"
] | null | null | null | """Default init file for statistics package."""
| 24 | 47 | 0.729167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0.979167 |
20eeefc46871bc4a82ccda95a4d09005d4444a71 | 1,096 | py | Python | src/BL/test/test_RandomNumber.py | yukiYamada/ThaGame | 4f206303d60b5760452a7eab8700626657f3e39e | [
"MIT"
] | null | null | null | src/BL/test/test_RandomNumber.py | yukiYamada/ThaGame | 4f206303d60b5760452a7eab8700626657f3e39e | [
"MIT"
] | null | null | null | src/BL/test/test_RandomNumber.py | yukiYamada/ThaGame | 4f206303d60b5760452a7eab8700626657f3e39e | [
"MIT"
] | null | null | null | # third party modules
import pytest
# user modules
from BL_main.RandomNumber import Number, Numbers, InvalidArgumentExceptionOfNumber
def test_NumberClass_InvalidException_underNumber():
'''
Test argument. under number.
'''
with pytest.raises(InvalidArgumentExceptionOfNumber):
Number.create(1)
... | 24.355556 | 82 | 0.667883 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 234 | 0.213504 |
20efb6e68d19a66f29b03a03d92401ec1cbcda69 | 6,185 | py | Python | evaluate_ranking.py | aydindemircioglu/radFS | b50b2a78f7c7975751b699b6b74a2761f7fa3501 | [
"MIT",
"Unlicense"
] | 1 | 2022-02-24T02:16:55.000Z | 2022-02-24T02:16:55.000Z | evaluate_ranking.py | aydindemircioglu/radFS | b50b2a78f7c7975751b699b6b74a2761f7fa3501 | [
"MIT",
"Unlicense"
] | null | null | null | evaluate_ranking.py | aydindemircioglu/radFS | b50b2a78f7c7975751b699b6b74a2761f7fa3501 | [
"MIT",
"Unlicense"
] | null | null | null | #!/usr/bin/python3
import json
import seaborn as sns
from matplotlib import cm
from matplotlib.colors import ListedColormap, LinearSegmentedColormap
import matplotlib.colors as colors
from scipy.stats import spearmanr
import pylab
import scipy.cluster.hierarchy as sch
from scipy.stats import pearsonr, friedmanchisqu... | 30.46798 | 114 | 0.620049 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,035 | 0.16734 |
20f09232bbd39f5341bb954d6c3dd267beb0e85a | 10,058 | py | Python | venv/lib/python3.6/site-packages/ansible/module_utils/facts/hardware/aix.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 17 | 2017-06-07T23:15:01.000Z | 2021-08-30T14:32:36.000Z | ansible/ansible/module_utils/facts/hardware/aix.py | SergeyCherepanov/ansible | 875711cd2fd6b783c812241c2ed7a954bf6f670f | [
"MIT"
] | 12 | 2020-02-21T07:24:52.000Z | 2020-04-14T09:54:32.000Z | ansible/ansible/module_utils/facts/hardware/aix.py | SergeyCherepanov/ansible | 875711cd2fd6b783c812241c2ed7a954bf6f670f | [
"MIT"
] | 3 | 2018-05-26T21:31:22.000Z | 2019-09-28T17:00:45.000Z | # This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that ... | 39.754941 | 137 | 0.509644 | 9,158 | 0.910519 | 0 | 0 | 0 | 0 | 0 | 0 | 2,994 | 0.297673 |
20f0b9c08e120b15c6e37ccd433da0ddfa26dd09 | 1,148 | py | Python | servicedirectory/src/sd-api/classes/urls.py | ealogar/servicedirectory | fb4f4bfa8b499b93c03af589ef2f34c08a830b17 | [
"Apache-2.0"
] | null | null | null | servicedirectory/src/sd-api/classes/urls.py | ealogar/servicedirectory | fb4f4bfa8b499b93c03af589ef2f34c08a830b17 | [
"Apache-2.0"
] | null | null | null | servicedirectory/src/sd-api/classes/urls.py | ealogar/servicedirectory | fb4f4bfa8b499b93c03af589ef2f34c08a830b17 | [
"Apache-2.0"
] | null | null | null | '''
(c) Copyright 2013 Telefonica, I+D. Printed in Spain (Europe). All Rights
Reserved.
The copyright to the software program(s) is property of Telefonica I+D.
The program(s) may be used and or copied only with the express written
consent of Telefonica I+D or in accordance with the terms and conditions
stipulated in t... | 42.518519 | 106 | 0.743031 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 562 | 0.489547 |
20f40bb6774c781a86ff7385108395d2e004318d | 9,669 | py | Python | lib/kb_RDP_Classifier/kb_RDP_ClassifierImpl.py | kbaseapps/kb_RDP_Classifier | 7ac139db66b0291c847084e0633cb311befd05e1 | [
"MIT"
] | null | null | null | lib/kb_RDP_Classifier/kb_RDP_ClassifierImpl.py | kbaseapps/kb_RDP_Classifier | 7ac139db66b0291c847084e0633cb311befd05e1 | [
"MIT"
] | null | null | null | lib/kb_RDP_Classifier/kb_RDP_ClassifierImpl.py | kbaseapps/kb_RDP_Classifier | 7ac139db66b0291c847084e0633cb311befd05e1 | [
"MIT"
] | 1 | 2021-09-24T18:18:40.000Z | 2021-09-24T18:18:40.000Z | # -*- coding: utf-8 -*-
#BEGIN_HEADER
import logging
import os
import uuid
import shutil
from installed_clients.WorkspaceClient import Workspace
from installed_clients.DataFileUtilClient import DataFileUtil
from installed_clients.KBaseReportClient import KBaseReport
from installed_clients.GenericsAPIClient import Gene... | 28.862687 | 121 | 0.562416 | 9,102 | 0.934977 | 0 | 0 | 0 | 0 | 0 | 0 | 3,757 | 0.385927 |
20f473683e772c87b537f146508f569bdfe393ff | 4,189 | py | Python | image2text.py | minhpvwh/pytesseract-vie | 4159941a0f538845c535d090907cf230946cb4fe | [
"Leptonica",
"BSD-2-Clause"
] | null | null | null | image2text.py | minhpvwh/pytesseract-vie | 4159941a0f538845c535d090907cf230946cb4fe | [
"Leptonica",
"BSD-2-Clause"
] | null | null | null | image2text.py | minhpvwh/pytesseract-vie | 4159941a0f538845c535d090907cf230946cb4fe | [
"Leptonica",
"BSD-2-Clause"
] | null | null | null | import os
import cv2
import glob
import tqdm
import argparse
from skimage.filters import threshold_local
import pytesseract
import numpy as np
import random
def check_exist(path):
try:
if not os.path.exists(path):
os.mkdir(path)
except Exception:
raise ("please check your folder again")
pass
def median_fil... | 32.726563 | 108 | 0.610169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,216 | 0.290284 |
20f4974dbfb9b7e44a6eecfec1209588daffaa28 | 762 | py | Python | __main__.py | JeffreyTsang/Brickbreaker | 37f0d143e9f937027fc281aef1511d0e9c804b8b | [
"MIT"
] | null | null | null | __main__.py | JeffreyTsang/Brickbreaker | 37f0d143e9f937027fc281aef1511d0e9c804b8b | [
"MIT"
] | null | null | null | __main__.py | JeffreyTsang/Brickbreaker | 37f0d143e9f937027fc281aef1511d0e9c804b8b | [
"MIT"
] | null | null | null | # __main__.py
# Walker M. White (wmw2)
# November 12, 2012
"""__main__ module for Breakout
This is the module with the application code. Make sure that this module is
in a folder with the following files:
breakout.py (the primary controller class)
model.py (the model classes)
game2d.py (the view ... | 29.307692 | 83 | 0.711286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 636 | 0.834646 |
20f4bb00c3e32da2d3d3c84f05ad3e299944fc74 | 394 | py | Python | tests/__init__.py | syamasakigoodrx/astronomer | 0f1ca98bc04c46abe750bd9668aa75330601d300 | [
"Apache-2.0"
] | null | null | null | tests/__init__.py | syamasakigoodrx/astronomer | 0f1ca98bc04c46abe750bd9668aa75330601d300 | [
"Apache-2.0"
] | null | null | null | tests/__init__.py | syamasakigoodrx/astronomer | 0f1ca98bc04c46abe750bd9668aa75330601d300 | [
"Apache-2.0"
] | null | null | null | from pathlib import Path
import git
# The top-level path of this repository
git_repo = git.Repo(__file__, search_parent_directories=True)
git_root_dir = Path(git_repo.git.rev_parse("--show-toplevel"))
# This should match the major.minor version list in .circleci/generate_circleci_config.py
# Patch version should alwa... | 35.818182 | 89 | 0.763959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 211 | 0.535533 |
4545c91d0cdf7bdd633b1682893229895b5c4a88 | 2,808 | py | Python | mrkt/framework/platform/AWS.py | Tefx/Meerkat | ad9d4d3973a990406b976998dce9727b40139650 | [
"MIT"
] | null | null | null | mrkt/framework/platform/AWS.py | Tefx/Meerkat | ad9d4d3973a990406b976998dce9727b40139650 | [
"MIT"
] | null | null | null | mrkt/framework/platform/AWS.py | Tefx/Meerkat | ad9d4d3973a990406b976998dce9727b40139650 | [
"MIT"
] | null | null | null | from ...common.utils import patch;
patch()
import boto3
import urllib.request
from .PaaS import PaaS
from ..service import docker
from ...common.consts import *
COREOS_AMI_URL = "https://stable.release.core-os.net/amd64-usr/current/coreos_production_ami_hvm_{region}.txt"
COREOS_USERNAME = "core"
VM_TAG = [{"Resource... | 37.44 | 110 | 0.535613 | 2,216 | 0.789174 | 0 | 0 | 0 | 0 | 0 | 0 | 312 | 0.111111 |
45485b7021d68a5f5cea1ac732317f7615814dbe | 3,099 | py | Python | csrweb/api/resources.py | edbeard/csrweb | aecf8b6199aa6ce04a89c549ea2b970369f750e1 | [
"MIT"
] | null | null | null | csrweb/api/resources.py | edbeard/csrweb | aecf8b6199aa6ce04a89c549ea2b970369f750e1 | [
"MIT"
] | null | null | null | csrweb/api/resources.py | edbeard/csrweb | aecf8b6199aa6ce04a89c549ea2b970369f750e1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
csrweb.api.resources
~~~~~~~~~~~~~~~~~~~~
API resources.
:copyright: Copyright 2019 by Ed Beard.
:license: MIT, see LICENSE file for more details.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode... | 32.621053 | 133 | 0.700871 | 1,401 | 0.452081 | 0 | 0 | 1,581 | 0.510165 | 0 | 0 | 964 | 0.311068 |
454b01b109820104ab60f6103cb4df1d537ab584 | 1,084 | py | Python | tests/test_signer.py | led8rgb/wmsigner | fdf888220e97b260639ebc4c5c86ae144939305f | [
"MIT"
] | 5 | 2017-05-28T03:13:17.000Z | 2019-12-17T11:34:16.000Z | tests/test_signer.py | led8rgb/wmsigner | fdf888220e97b260639ebc4c5c86ae144939305f | [
"MIT"
] | 2 | 2016-01-03T03:22:27.000Z | 2018-11-29T19:55:49.000Z | tests/test_signer.py | led8rgb/wmsigner | fdf888220e97b260639ebc4c5c86ae144939305f | [
"MIT"
] | 3 | 2016-08-28T11:39:32.000Z | 2019-09-17T10:47:17.000Z | import unittest
from wmsigner import Signer
# Для запуска тестов эти данные должны быть заполнены
signer = Signer(wmid='000000000000',
keys='/home/egor/000000000000.kwm',
password='**********')
class TestWMSigner(unittest.TestCase):
def test_equal(self):
"""
Получ... | 26.439024 | 78 | 0.606089 | 885 | 0.73201 | 0 | 0 | 0 | 0 | 0 | 0 | 616 | 0.509512 |
454b47b3f84be1c2c230d352ee328c9b29ca854a | 676 | py | Python | test/test.py | jinjunnn/cloud1 | 629016594b61cd7404da45f7c54e1d9c1bc3b69d | [
"MIT"
] | null | null | null | test/test.py | jinjunnn/cloud1 | 629016594b61cd7404da45f7c54e1d9c1bc3b69d | [
"MIT"
] | null | null | null | test/test.py | jinjunnn/cloud1 | 629016594b61cd7404da45f7c54e1d9c1bc3b69d | [
"MIT"
] | null | null | null | import os, sys
import csv
import leancloud
from leancloud import cloud
import requests
import re
leancloud.init("ELXEVn8IoKWzNVU52gmYKnn6-gzGzoHsz", master_key="kYWSFq2AwQyBhujn5oIBo64n")
data_info = {'id': 2017718538, 'user_name': 'js999986', 'first_name': '一手引流工作室', 'last_name': None, 'userName': None, 'url': None,... | 35.578947 | 200 | 0.720414 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 483 | 0.606023 |
454c3029fdf43b8fecffd75acd0e4868c4a676d6 | 273 | py | Python | src/submarine/submarine.py | mokshasoul/aoc-2021-python | 6e6f24659c45f32eab5302075c3c2c0a0a876a60 | [
"MIT"
] | null | null | null | src/submarine/submarine.py | mokshasoul/aoc-2021-python | 6e6f24659c45f32eab5302075c3c2c0a0a876a60 | [
"MIT"
] | null | null | null | src/submarine/submarine.py | mokshasoul/aoc-2021-python | 6e6f24659c45f32eab5302075c3c2c0a0a876a60 | [
"MIT"
] | null | null | null | import re
import numpy as np
class Submarine:
def __init__(self) -> None:
self.depth = 0
self.aim_depth = 0
self.gamma_rate = 0
self.epsilon_rate = 0
self.oxygen_generator_rate = 0
self.carbon_dioxide_scrubber = 0
| 21 | 40 | 0.608059 | 236 | 0.864469 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
454ca970a91a509b88675311e18e5508a0f457e1 | 1,729 | py | Python | python/spark/ctr_logistic.py | zzhou9/google-searchAds | 6fed04a624cc637f472f866e91e465ebe11102d3 | [
"Apache-2.0"
] | null | null | null | python/spark/ctr_logistic.py | zzhou9/google-searchAds | 6fed04a624cc637f472f866e91e465ebe11102d3 | [
"Apache-2.0"
] | null | null | null | python/spark/ctr_logistic.py | zzhou9/google-searchAds | 6fed04a624cc637f472f866e91e465ebe11102d3 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
from pyspark import SparkContext
from pyspark.mllib.classification import LogisticRegressionWithLBFGS, LogisticRegressionModel
from pyspark.mllib.regression import LabeledPoint
from pyspark.mllib.util import MLUtils
#(' 101356, 101356, 32714, 32714, 5963, 10594, 21240, 34825, 5963... | 36.787234 | 99 | 0.685367 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 459 | 0.265471 |
45502c36194120822d47a489bb35792d7a4b090d | 754 | py | Python | matplotlib/axessetting.py | mk43/python-practice-project | 4260456c1006c1f3e2a6f00bcb2639d6e8a71e5e | [
"Apache-2.0"
] | 7 | 2018-05-29T07:14:22.000Z | 2020-03-05T06:45:04.000Z | matplotlib/axessetting.py | mk43/python-practice-project | 4260456c1006c1f3e2a6f00bcb2639d6e8a71e5e | [
"Apache-2.0"
] | null | null | null | matplotlib/axessetting.py | mk43/python-practice-project | 4260456c1006c1f3e2a6f00bcb2639d6e8a71e5e | [
"Apache-2.0"
] | 5 | 2018-11-08T04:03:48.000Z | 2020-03-05T06:45:06.000Z | import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(-10, 10, 40)
y1 = 10 * x + 50
y2 = x**2
plt.figure()
plt.plot(x, y1, 'b-')
plt.plot(x, y2, 'b--')
plt.xlim((-20, 20))
plt.ylim((-60, 160))
plt.xlabel('I am x')
plt.ylabel('I am y')
plt.xticks(np.linspace(-20, 20, 5))
plt.yticks([0, 50, 100], [r'$bad$... | 24.322581 | 60 | 0.690981 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0.159151 |
4552844d1989cd409ab97253e0c1d21d415c08b6 | 1,943 | py | Python | Xgam/__init__.py | aurelio-amerio/Xgam | fb65ed009bb35984eadd0c576aa385ca3702c8ce | [
"MIT"
] | 1 | 2021-06-14T20:27:30.000Z | 2021-06-14T20:27:30.000Z | Xgam/__init__.py | aurelio-amerio/Xgam | fb65ed009bb35984eadd0c576aa385ca3702c8ce | [
"MIT"
] | null | null | null | Xgam/__init__.py | aurelio-amerio/Xgam | fb65ed009bb35984eadd0c576aa385ca3702c8ce | [
"MIT"
] | 1 | 2021-06-14T20:27:55.000Z | 2021-06-14T20:27:55.000Z | #!/usr/bin/env python #
# #
# Autor: Michela Negro, GSFC/CRESST/UMBC . #
# On behalf of the Fermi-LAT Collaboration. ... | 36.660377 | 80 | 0.507463 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,307 | 0.672671 |
4554d96aff6eab12cf01ea18c66f303bf1e65edd | 3,008 | py | Python | tests/test_clouds.py | cc-daveloper/mist.io_mist.api | d3f9b8d478f23bf811c0bc6d3078e512aa975f86 | [
"Apache-2.0"
] | 1 | 2019-04-10T11:37:25.000Z | 2019-04-10T11:37:25.000Z | tests/test_clouds.py | d-mo/mist.api | d3f9b8d478f23bf811c0bc6d3078e512aa975f86 | [
"Apache-2.0"
] | 3 | 2021-04-07T23:15:17.000Z | 2021-09-23T23:21:45.000Z | tests/test_clouds.py | cc-daveloper/mist.io_mist.api | d3f9b8d478f23bf811c0bc6d3078e512aa975f86 | [
"Apache-2.0"
] | null | null | null | """Tests Cloud models and Controllers"""
import os
import uuid
import json
from deepdiff import DeepDiff
from pprint import pprint
def unicode_to_str(data):
if isinstance(data, dict):
return {unicode_to_str(key): unicode_to_str(value)
for key, value in data.iteritems()}
elif isinstanc... | 29.782178 | 78 | 0.628657 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 459 | 0.152593 |
4555138ee889d6a8eb7274ba38acfdb8b6a01114 | 36,944 | py | Python | adapt/jedparse/jedParser.py | aeschylus/Adapt | 3a769e621c7cdb9ca201bb1a75484fdeb84105ea | [
"MIT"
] | null | null | null | adapt/jedparse/jedParser.py | aeschylus/Adapt | 3a769e621c7cdb9ca201bb1a75484fdeb84105ea | [
"MIT"
] | null | null | null | adapt/jedparse/jedParser.py | aeschylus/Adapt | 3a769e621c7cdb9ca201bb1a75484fdeb84105ea | [
"MIT"
] | 1 | 2021-01-20T21:26:10.000Z | 2021-01-20T21:26:10.000Z | # $ANTLR 3.1 jed.g 2014-02-17 18:49:15
import sys
from antlr3 import *
from antlr3.compat import set, frozenset
import os
import sys
from bitarray import bitarray
# for convenience in actions
HIDDEN = BaseRecognizer.HIDDEN
# token types
F=9
STAR=19
OTHER=5
C=18
L=11
N=12
J=10
V=15
ONE=7
Q=14
P=13
EOF=-1
... | 27.570149 | 151 | 0.481242 | 36,075 | 0.976478 | 0 | 0 | 0 | 0 | 0 | 0 | 5,914 | 0.16008 |
4555aaa5efb8e9633d6c3233732fefd9345316e0 | 41 | py | Python | Python/Tests/TestData/FormattingTests/linereduction.py | nanshuiyu/pytools | 9f9271fe8cf564b4f94e9456d400f4306ea77c23 | [
"Apache-2.0"
] | null | null | null | Python/Tests/TestData/FormattingTests/linereduction.py | nanshuiyu/pytools | 9f9271fe8cf564b4f94e9456d400f4306ea77c23 | [
"Apache-2.0"
] | null | null | null | Python/Tests/TestData/FormattingTests/linereduction.py | nanshuiyu/pytools | 9f9271fe8cf564b4f94e9456d400f4306ea77c23 | [
"Apache-2.0"
] | null | null | null | (a +
b +
c +
d+
e+
f
)
| 4.555556 | 8 | 0.146341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4555f8bdea823e3c6bf72f128d96fb3a61fb035f | 6,542 | py | Python | day_10.py | JeffHanna/Advent_of_Code_2018 | a47f7c5dc1ef28df41a26a21fc16626cb2a9c922 | [
"MIT"
] | null | null | null | day_10.py | JeffHanna/Advent_of_Code_2018 | a47f7c5dc1ef28df41a26a21fc16626cb2a9c922 | [
"MIT"
] | null | null | null | day_10.py | JeffHanna/Advent_of_Code_2018 | a47f7c5dc1ef28df41a26a21fc16626cb2a9c922 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
--- Day 10: The Stars Align ---
It's no use; your navigation system simply isn't capable of providing walking directions in the arctic circle, and certainly not in 1018.
The Elves suggest an alternative. In times like these, North Pole rescue operations will arrange points of light in the s... | 32.068627 | 419 | 0.486854 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,089 | 0.777897 |
4556270ed64165ee50af5ad0e7a8aeb1bf232a5f | 302 | py | Python | torrents/urls.py | kevincornish/Genesis | 6bc424fe97be954776dec2bdc4c7d214992cc3e2 | [
"MIT"
] | null | null | null | torrents/urls.py | kevincornish/Genesis | 6bc424fe97be954776dec2bdc4c7d214992cc3e2 | [
"MIT"
] | null | null | null | torrents/urls.py | kevincornish/Genesis | 6bc424fe97be954776dec2bdc4c7d214992cc3e2 | [
"MIT"
] | null | null | null | from django.conf.urls import url, include
from django.contrib import admin
from torrents import views
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
url(r'^upload/$', views.upload, name='upload'),
url(r'^browse/$', views.browse, name='browse'),
] | 25.166667 | 51 | 0.735099 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0.13245 |
45563edf7177293ae810f1142fc2457d7d0c9f98 | 170,658 | py | Python | TACT.py | CFARS/TACT | 1b2bbf1f9d0a45cff232ec447286419faac66b58 | [
"BSD-3-Clause"
] | 1 | 2022-03-23T11:50:53.000Z | 2022-03-23T11:50:53.000Z | TACT.py | CFARS/TACT | 1b2bbf1f9d0a45cff232ec447286419faac66b58 | [
"BSD-3-Clause"
] | 4 | 2021-12-18T04:01:41.000Z | 2022-03-10T16:13:18.000Z | TACT.py | CFARS/TACT | 1b2bbf1f9d0a45cff232ec447286419faac66b58 | [
"BSD-3-Clause"
] | null | null | null | """
This is the main script to analyze projects without an NDA in place.
Authors: Nikhil Kondabala, Alexandra Arntsen, Andrew Black, Barrett Goudeau, Nigel Swytink-Binnema, Nicolas Jolin
Updated: 7/01/2021
Example command line execution:
python TACT.py -in /Users/aearntsen/cfarsMASTER/CFARSPhase3/test/518Tower... | 55.211258 | 372 | 0.607127 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45,819 | 0.268475 |
4557176f3d49e4358253305342218dd4750b9adc | 1,343 | py | Python | FileStorage/language/LanguagePack.py | Thiefxt/FileStorage | db2882b2ea861f4412cb453edef6439501b13705 | [
"MIT"
] | 1 | 2020-07-15T10:02:40.000Z | 2020-07-15T10:02:40.000Z | FileStorage/language/LanguagePack.py | Thiefxt/FileStorage | db2882b2ea861f4412cb453edef6439501b13705 | [
"MIT"
] | null | null | null | FileStorage/language/LanguagePack.py | Thiefxt/FileStorage | db2882b2ea861f4412cb453edef6439501b13705 | [
"MIT"
] | null | null | null | """
@Author : xiaotao
@Email : 18773993654@163.com
@Lost modifid : 2020/4/24 10:18
@Filename : LanguagePack.py
@Description :
@Software : PyCharm
"""
class RET:
"""
语言类包
"""
OK = "200"
DBERR = "501"
NODATA = "462"
DATAEXIST = "433"
DATAERR = "499"
REQERR = "521"
... | 19.463768 | 52 | 0.531646 | 757 | 0.488072 | 0 | 0 | 421 | 0.271438 | 0 | 0 | 613 | 0.395229 |
45582f74d0d0ee28b2acea145b7197bbf28904ac | 1,414 | py | Python | app/core/tests/test_model.py | rahulsudhakar10/receipe-api-project | 29f205607905bbee347ea9ca505751f4d4cd508a | [
"MIT"
] | null | null | null | app/core/tests/test_model.py | rahulsudhakar10/receipe-api-project | 29f205607905bbee347ea9ca505751f4d4cd508a | [
"MIT"
] | null | null | null | app/core/tests/test_model.py | rahulsudhakar10/receipe-api-project | 29f205607905bbee347ea9ca505751f4d4cd508a | [
"MIT"
] | null | null | null | from django.test import TestCase
from django.contrib.auth import get_user_model
from core import models
def sample_user(email='test@londonappdev.com', password='testpass'):
"""Create a sample user"""
return get_user_model().objects.create_user(email, password)
class ModelTest(TestCase):
def test_user_wi... | 28.28 | 68 | 0.642857 | 1,140 | 0.806223 | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 0.102546 |
4558b0a8efff5ece908e59c6b9303248612636c0 | 2,427 | py | Python | validate_binary_tree/solution_2.py | nunezpaul/practice_problems | 22449c014046b702a4284bb66548f3a70c265622 | [
"MIT"
] | null | null | null | validate_binary_tree/solution_2.py | nunezpaul/practice_problems | 22449c014046b702a4284bb66548f3a70c265622 | [
"MIT"
] | null | null | null | validate_binary_tree/solution_2.py | nunezpaul/practice_problems | 22449c014046b702a4284bb66548f3a70c265622 | [
"MIT"
] | null | null | null | class TreeNode(object):
def __str__(self):
left = self.left.val if self.left else 'N'
right = self.right.val if self.right else 'N'
return "{left} {val} {right}".format(val=self.val, left=left, right=right)
def __init__(self, val):
self.val = val
self.right = None
... | 22.682243 | 82 | 0.651834 | 338 | 0.139267 | 0 | 0 | 0 | 0 | 0 | 0 | 69 | 0.02843 |
455a1e9bca84b3eaa5bb4b8f7d096c8385e30f66 | 307 | py | Python | Chapter 11/B05385_11_xx_runping.py | jef-n/Mastering-QGIS-Second-Edition | 96ae03293dd8d54c9ef916962580b69758cf8287 | [
"MIT"
] | 18 | 2016-11-10T06:18:45.000Z | 2022-02-27T14:49:00.000Z | Chapter 11/B05385_11_xx_runping.py | jef-n/Mastering-QGIS-Second-Edition | 96ae03293dd8d54c9ef916962580b69758cf8287 | [
"MIT"
] | null | null | null | Chapter 11/B05385_11_xx_runping.py | jef-n/Mastering-QGIS-Second-Edition | 96ae03293dd8d54c9ef916962580b69758cf8287 | [
"MIT"
] | 13 | 2017-10-24T21:21:51.000Z | 2020-06-27T15:41:54.000Z | import subprocess
import time
proc = subprocess.Popen(
["ping", "-c", "10", "localhost"],
stdout=subprocess.PIPE,
stdin=subprocess.PIPE,
stderr=subprocess.PIPE)
counter = 0
for line in iter(proc.stdout.readline, ''):
print line
progress.setPercentage( counter )
counter +=10
| 18.058824 | 43 | 0.667752 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.087948 |
455a97ef8134576551c4ea049b3b9d369f2092fc | 630 | py | Python | for_short.py | deepakxyz/get-earth | eb4e594d499452b711966a819237e4d6160d2a17 | [
"MIT"
] | 2 | 2021-05-21T07:03:14.000Z | 2021-08-05T14:35:37.000Z | for_short.py | deepakxyz/get-earth | eb4e594d499452b711966a819237e4d6160d2a17 | [
"MIT"
] | null | null | null | for_short.py | deepakxyz/get-earth | eb4e594d499452b711966a819237e4d6160d2a17 | [
"MIT"
] | null | null | null | from get_earth import GetEarth
# 835 , 1416
# p11 = (835, 1416)
# p12 = (885,1516)
# p1 = (886,1416)
# p2 = (935,1516)
# p1 = (885, 1415)
# p2 = (890, 1420)
# p1 = (890,1415)
# p2 = (895,1420)
# p1 = (835, 1416)
# p2 = (885,1516) # start where you end it
# p1 = (885, 1416)
# p2 = (935,1516)
# p1 = (835,1516)
# ... | 14.318182 | 43 | 0.555556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 465 | 0.738095 |
455c1d1f7a5c452b8ffe6f08ac4dbcdcc3e74500 | 562 | py | Python | algo/lc.118.py | cdluminate/MyNotes | cf28f2a3fa72723153147e21fed5e7b598baf44f | [
"CC0-1.0"
] | null | null | null | algo/lc.118.py | cdluminate/MyNotes | cf28f2a3fa72723153147e21fed5e7b598baf44f | [
"CC0-1.0"
] | null | null | null | algo/lc.118.py | cdluminate/MyNotes | cf28f2a3fa72723153147e21fed5e7b598baf44f | [
"CC0-1.0"
] | null | null | null | class Solution(object):
def generate(self, numRows):
"""
:type numRows: int
:rtype: List[List[int]]
"""
# first pass: empty triangle
tria = [
[0 for j in range(i+1)] for i in range(numRows)
]
print(tria)
# second pass: fill in value... | 28.1 | 60 | 0.451957 | 561 | 0.998221 | 0 | 0 | 0 | 0 | 0 | 0 | 131 | 0.233096 |
455cfcd1a4533c63cce20863058bc3230fd98394 | 2,076 | py | Python | aoc_cqkh42/year_2020/day_12.py | cqkh42/advent-of-code | bcf31cf8973a5b6d67492c412dce10df742e04d1 | [
"MIT"
] | null | null | null | aoc_cqkh42/year_2020/day_12.py | cqkh42/advent-of-code | bcf31cf8973a5b6d67492c412dce10df742e04d1 | [
"MIT"
] | null | null | null | aoc_cqkh42/year_2020/day_12.py | cqkh42/advent-of-code | bcf31cf8973a5b6d67492c412dce10df742e04d1 | [
"MIT"
] | null | null | null | """
Solutions for day 12 of 2020's Advent of Code
"""
from typing import Tuple
def _rotate_right(n, e) -> Tuple[int, int]:
return -e, n
def _rotate_left(n, e) -> Tuple[int, int]:
return e, -n
def part_a(data) -> int:
"""
Solution for part a
Parameters
----------
data: str
Return... | 21.625 | 65 | 0.461464 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 363 | 0.174855 |
455d6ce36a65cf0610f2586646f75e04d7e70b2f | 138 | py | Python | test.py | loremcookie/_logging_module | c24f962ad321b8b2d7ac362e65dbd6d259686ebc | [
"MIT"
] | null | null | null | test.py | loremcookie/_logging_module | c24f962ad321b8b2d7ac362e65dbd6d259686ebc | [
"MIT"
] | null | null | null | test.py | loremcookie/_logging_module | c24f962ad321b8b2d7ac362e65dbd6d259686ebc | [
"MIT"
] | null | null | null | import _logging as logging
logger = logging.logging()
logger.DEBUG('TEST')
logger.ERROR('TEST')
logger.INFO('TEST')
logger.WARNING('TEST') | 23 | 26 | 0.753623 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0.173913 |
455db22f99db07331fddab80325507e7476dc805 | 3,786 | py | Python | src/main/resources/python/stack.py | VAlgoLang/ManimDSLCompiler | 87020d135fa7360aaeccf7e2b9a453f6ffb0fb33 | [
"BSD-3-Clause"
] | 19 | 2020-11-05T13:55:45.000Z | 2021-01-08T13:19:40.000Z | src/main/resources/python/stack.py | VAlgoLang/ManimDSLCompiler | 87020d135fa7360aaeccf7e2b9a453f6ffb0fb33 | [
"BSD-3-Clause"
] | 29 | 2020-10-13T10:29:21.000Z | 2021-01-10T18:34:06.000Z | src/main/resources/python/stack.py | VAlgoLang/ManimDSLCompiler | 87020d135fa7360aaeccf7e2b9a453f6ffb0fb33 | [
"BSD-3-Clause"
] | 6 | 2021-03-20T07:04:11.000Z | 2022-03-22T02:39:03.000Z | class Stack(DataStructure, ABC):
def __init__(self, ul, ur, ll, lr, aligned_edge, color=WHITE, text_color=WHITE, text_weight=NORMAL,
font="Times New Roman"):
super().__init__(ul, ur, ll, lr, aligned_edge, color, text_color, text_weight, font)
self.empty = None
def create_init(s... | 46.740741 | 120 | 0.626519 | 3,737 | 0.987058 | 0 | 0 | 0 | 0 | 0 | 0 | 117 | 0.030903 |
455ecf77b284ae23c05aaa297b5a0ed55da0477f | 1,519 | py | Python | notebooks_for_development/phase_fold_bh_peg.py | mwanakijiji/rrlfe2 | 0637b348b8d3e54ff34c56caa8b4c6fdac1c699e | [
"MIT"
] | null | null | null | notebooks_for_development/phase_fold_bh_peg.py | mwanakijiji/rrlfe2 | 0637b348b8d3e54ff34c56caa8b4c6fdac1c699e | [
"MIT"
] | null | null | null | notebooks_for_development/phase_fold_bh_peg.py | mwanakijiji/rrlfe2 | 0637b348b8d3e54ff34c56caa8b4c6fdac1c699e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# Reads in photometry from different sources, normalizes them, and puts them
# onto a BJD time scale
# Created 2021 Dec. 28 by E.S.
import numpy as np
import pandas as pd
from astropy.time import Time
import matplotlib.pyplot as plt
from sklearn.preprocessing import MinMaxScaler... | 33.021739 | 120 | 0.75181 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 624 | 0.410797 |
455edc273b8a123c3adfc56630705426d3b15ce0 | 356 | py | Python | djelectionguard/migrations/0010_auto_20210308_0939.py | Joneswn/Baloti | c499666dd9e2553fac88130dea2b6e9df8278234 | [
"MIT"
] | 1 | 2022-02-24T17:30:53.000Z | 2022-02-24T17:30:53.000Z | djelectionguard/migrations/0010_auto_20210308_0939.py | Joneswn/Baloti | c499666dd9e2553fac88130dea2b6e9df8278234 | [
"MIT"
] | null | null | null | djelectionguard/migrations/0010_auto_20210308_0939.py | Joneswn/Baloti | c499666dd9e2553fac88130dea2b6e9df8278234 | [
"MIT"
] | 2 | 2021-10-06T11:52:41.000Z | 2022-01-20T11:07:27.000Z | # Generated by Django 3.1.7 on 2021-03-08 09:39
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('djelectionguard', '0009_decentralized_default_false'),
]
operations = [
migrations.RemoveField(
model_name='contest',
name='... | 19.777778 | 64 | 0.623596 | 271 | 0.761236 | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 0.351124 |
456020c6f80bf546826faf9d3db7db5ef4399eed | 4,012 | py | Python | history/predict.py | Snipa22/pytrader | 5a730435332a159e68ba13ec01b4b7bfa380ec82 | [
"MIT"
] | 3 | 2016-04-11T13:51:07.000Z | 2022-03-10T15:42:24.000Z | history/predict.py | Snipa22/pytrader | 5a730435332a159e68ba13ec01b4b7bfa380ec82 | [
"MIT"
] | null | null | null | history/predict.py | Snipa22/pytrader | 5a730435332a159e68ba13ec01b4b7bfa380ec82 | [
"MIT"
] | null | null | null | from history.tools import normalization, filter_by_mins, create_sample_row
from history.models import Price, PredictionTest
import time
from history.tools import print_and_log
def predict_v2(ticker,hidden_layers=15,NUM_MINUTES_BACK=1000,NUM_EPOCHS=1000,granularity_minutes=15,datasetinputs=5,learningrate=0.005,bias=F... | 48.337349 | 380 | 0.692423 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 496 | 0.123629 |
45604bd1b05655ed30e4f3d8cdc52c6f47f66f14 | 16,129 | py | Python | master_cGAN_mnist_useLabel.py | tanlinc/opticalFlowGAN | f568e531265029f2f25f223ee92e1f53c0bb52f6 | [
"MIT"
] | 1 | 2018-07-24T05:40:44.000Z | 2018-07-24T05:40:44.000Z | master_cGAN_mnist_useLabel.py | tanlinc/opticalFlowGAN | f568e531265029f2f25f223ee92e1f53c0bb52f6 | [
"MIT"
] | null | null | null | master_cGAN_mnist_useLabel.py | tanlinc/opticalFlowGAN | f568e531265029f2f25f223ee92e1f53c0bb52f6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Nov 18 12:06:09 2018
@author: linkermann
Wasserstein GAN simplified
"""
import os, sys
sys.path.append(os.getcwd())
import tflib.save_images as imsaver
import tflib.plot as plotter
#import tflib.mnist as mnistloader
import time
import numpy as np
impor... | 49.627692 | 150 | 0.684915 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,255 | 0.387811 |
456368c28972d08c5777b27f3941bd69bf9f4b4c | 2,786 | py | Python | rl_teacher/selector.py | oguzserbetci/rl-teacher-atari | fd6c399921d347333d7c5b4b12c63f1a955cea5c | [
"MIT"
] | null | null | null | rl_teacher/selector.py | oguzserbetci/rl-teacher-atari | fd6c399921d347333d7c5b4b12c63f1a955cea5c | [
"MIT"
] | 5 | 2018-10-15T11:52:05.000Z | 2018-10-30T12:58:53.000Z | rl_teacher/selector.py | oguzserbetci/rl-teacher-atari | fd6c399921d347333d7c5b4b12c63f1a955cea5c | [
"MIT"
] | null | null | null | from rl_teacher.segment_sampling import segments_from_rand_rollout, sample_segment_from_path, basic_segment_from_null_action
import numpy as np
class Selector(object):
def __init__(self):
print("Selector initialized")
def select(self, segments):
print("Selector.select()")
return segmen... | 37.648649 | 169 | 0.66224 | 2,632 | 0.944724 | 0 | 0 | 0 | 0 | 0 | 0 | 386 | 0.13855 |
45636a74d98ccc7ab3ff22be9c83602f958559c0 | 9,474 | py | Python | pynet/models/vae/vunet.py | CorentinAmbroise/pynet | c353e5f80e75f785a460422ab7b39fa8f776991a | [
"CECILL-B"
] | null | null | null | pynet/models/vae/vunet.py | CorentinAmbroise/pynet | c353e5f80e75f785a460422ab7b39fa8f776991a | [
"CECILL-B"
] | null | null | null | pynet/models/vae/vunet.py | CorentinAmbroise/pynet | c353e5f80e75f785a460422ab7b39fa8f776991a | [
"CECILL-B"
] | null | null | null | # -*- coding: utf-8 -*-
##########################################################################
# NSAp - Copyright (C) CEA, 2020
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
#... | 34.830882 | 79 | 0.576947 | 8,603 | 0.908064 | 0 | 0 | 7,002 | 0.739075 | 0 | 0 | 4,432 | 0.467807 |
456499cb6f4f56978c9d9e33ec8c47f7702e105f | 1,161 | py | Python | api/subparts/alpha/alpha.py | schana/swagger-based-api | 964cd549e73a81a0a72037cb8f75271708d061db | [
"Apache-2.0"
] | null | null | null | api/subparts/alpha/alpha.py | schana/swagger-based-api | 964cd549e73a81a0a72037cb8f75271708d061db | [
"Apache-2.0"
] | null | null | null | api/subparts/alpha/alpha.py | schana/swagger-based-api | 964cd549e73a81a0a72037cb8f75271708d061db | [
"Apache-2.0"
] | null | null | null | import collections
import flask_restplus
from flask_restplus import fields
from flask_restplus import reqparse
from api import util
api = util.build_api('alpha', __name__, url_prefix='/subparts/alpha')
v1 = util.build_namespace(api, 'v1', description='Version 1')
AlphaSpec = collections.namedtuple('Alpha', ['x_and_... | 32.25 | 77 | 0.707149 | 395 | 0.340224 | 0 | 0 | 416 | 0.358312 | 0 | 0 | 181 | 0.1559 |
4566cf4e6c09c759fddb48cfdd14738b0604abb8 | 4,612 | py | Python | fast_automl/baseline.py | dsbowen/fast-automl | 0799849859eec015eaa0a9e78936724b8ae300e9 | [
"MIT"
] | null | null | null | fast_automl/baseline.py | dsbowen/fast-automl | 0799849859eec015eaa0a9e78936724b8ae300e9 | [
"MIT"
] | null | null | null | fast_automl/baseline.py | dsbowen/fast-automl | 0799849859eec015eaa0a9e78936724b8ae300e9 | [
"MIT"
] | null | null | null | """# Baseline classifier and regressor"""
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, ClassifierMixin, RegressorMixin
from sklearn.utils.multiclass import check_classification_targets
from sklearn.utils.validation import _check_sample_weight
class BaselineClassifier(ClassifierMixin... | 28.645963 | 96 | 0.597572 | 4,329 | 0.938638 | 0 | 0 | 0 | 0 | 0 | 0 | 3,061 | 0.663703 |
456a57330f91e998b987f4f3389f029412491435 | 268 | py | Python | code/client/05_year/client.py | honzajavorek/co-je-api | f24538d2c1f6a3fe7a3fcf33575d3b241e4ff62f | [
"MIT"
] | 11 | 2018-07-13T14:40:56.000Z | 2021-07-09T07:27:37.000Z | code/client/05_year/client.py | honzajavorek/co-je-api | f24538d2c1f6a3fe7a3fcf33575d3b241e4ff62f | [
"MIT"
] | 167 | 2018-06-30T13:40:18.000Z | 2021-07-27T06:27:54.000Z | code/client/05_year/client.py | honzajavorek/co-je-api | f24538d2c1f6a3fe7a3fcf33575d3b241e4ff62f | [
"MIT"
] | 2 | 2018-11-07T12:19:39.000Z | 2018-11-10T10:03:21.000Z | import requests
response = requests.get("https://cojeapi.honzajavorek.now.sh/movies")
movies = response.json()
for movie in movies:
response = requests.get(movie['url'])
movie_details = response.json()
print(movie_details['name'], movie_details['year'])
| 26.8 | 69 | 0.720149 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.227612 |
456b9d36efdf097837bfdedc583dac092dcbd61c | 4,927 | py | Python | EDGAR/Generic_Parser.py | laurakchen/Intended-Use-Of_Proceeds | 4d958fbeddb3eb20b6a3ab1166ad918673408ddc | [
"Apache-2.0"
] | null | null | null | EDGAR/Generic_Parser.py | laurakchen/Intended-Use-Of_Proceeds | 4d958fbeddb3eb20b6a3ab1166ad918673408ddc | [
"Apache-2.0"
] | null | null | null | EDGAR/Generic_Parser.py | laurakchen/Intended-Use-Of_Proceeds | 4d958fbeddb3eb20b6a3ab1166ad918673408ddc | [
"Apache-2.0"
] | 4 | 2021-01-10T02:22:24.000Z | 2021-01-29T07:01:16.000Z | """
Program to provide generic parsing for all files in user-specified directory.
The program assumes the input files have been scrubbed,
i.e., HTML, ASCII-encoded binary, and any other embedded document structures that are not
intended to be analyzed have been deleted from the file.
Dependencies:
Pytho... | 38.795276 | 104 | 0.629592 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,394 | 0.485598 |
456ce9a81e255b4fb4013dc47630ffa6a975e439 | 1,542 | py | Python | sound.py | TWoolhouse/Libraries | 26079ed387cb800cb97f20980720ae094008c7bf | [
"MIT"
] | 1 | 2020-10-11T15:34:56.000Z | 2020-10-11T15:34:56.000Z | sound.py | TWoolhouse/Libraries | 26079ed387cb800cb97f20980720ae094008c7bf | [
"MIT"
] | null | null | null | sound.py | TWoolhouse/Libraries | 26079ed387cb800cb97f20980720ae094008c7bf | [
"MIT"
] | null | null | null | import sinput
import keys
class Volume:
__volume = None
def __init__(self, sync: int=0):
if sync != False or self.__volume is None:
self.sync(sync)
def __constrain(self, val: int, min: int=0, max: int=100):
return (min if val < min else (max if val > max else val))
def _... | 24.09375 | 66 | 0.559663 | 1,512 | 0.980545 | 0 | 0 | 214 | 0.138781 | 0 | 0 | 0 | 0 |
456d5f84b2506b512723f3a37ab5b953c8eded00 | 4,882 | py | Python | Code/techne_library_code.py | uk-gov-mirror/nationalarchives.TechneTraining | aabb15f2bfe6bbbcc824dbdaa7f8c59632fea21a | [
"MIT"
] | null | null | null | Code/techne_library_code.py | uk-gov-mirror/nationalarchives.TechneTraining | aabb15f2bfe6bbbcc824dbdaa7f8c59632fea21a | [
"MIT"
] | null | null | null | Code/techne_library_code.py | uk-gov-mirror/nationalarchives.TechneTraining | aabb15f2bfe6bbbcc824dbdaa7f8c59632fea21a | [
"MIT"
] | null | null | null | import os
from sklearn.model_selection import train_test_split
import numpy as np
from operator import itemgetter
from math import log
import random
from gensim.summarization.summarizer import summarize
from sklearn.naive_bayes import BernoulliNB
from sklearn.metrics import accuracy_score
from sklearn.metrics import co... | 33.902778 | 140 | 0.670012 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 252 | 0.051618 |
456d637d0c21bbaf1dc386e6ddbca0f048272275 | 785 | py | Python | Max/Max_0295_20200201.py | Morek999/OMSCS_Taiwan_Leetcode | 8ec18e08e9313bc3326846ca6ef6e569380a133f | [
"MIT"
] | 1 | 2020-01-08T14:10:24.000Z | 2020-01-08T14:10:24.000Z | Max/Max_0295_20200201.py | Morek999/OMSCS_Taiwan_Leetcode | 8ec18e08e9313bc3326846ca6ef6e569380a133f | [
"MIT"
] | null | null | null | Max/Max_0295_20200201.py | Morek999/OMSCS_Taiwan_Leetcode | 8ec18e08e9313bc3326846ca6ef6e569380a133f | [
"MIT"
] | null | null | null | """
295. Find Median from Data Stream
https://leetcode.com/problems/find-median-from-data-stream/
Time complexity: O()
Space complexity: O()
Solution:
"""
from typing import List
class MedianFinder:
def __init__(self):
"""
initialize your data structure here.
"""
se... | 23.787879 | 68 | 0.559236 | 437 | 0.556688 | 0 | 0 | 0 | 0 | 0 | 0 | 363 | 0.46242 |
456e07cc6bba172145470a41d9133e6c7f291230 | 2,701 | py | Python | sensor/src/upload_metrics.py | tubone24/raspi_plant_checker | e80ccd61c50cbba883f4af8fafafc0404bdf8978 | [
"MIT"
] | null | null | null | sensor/src/upload_metrics.py | tubone24/raspi_plant_checker | e80ccd61c50cbba883f4af8fafafc0404bdf8978 | [
"MIT"
] | null | null | null | sensor/src/upload_metrics.py | tubone24/raspi_plant_checker | e80ccd61c50cbba883f4af8fafafc0404bdf8978 | [
"MIT"
] | 1 | 2021-12-03T05:28:20.000Z | 2021-12-03T05:28:20.000Z | from gql import gql, Client
from gql.transport.requests import RequestsHTTPTransport
import requests
from datetime import datetime, timedelta, timezone
import os
from os.path import join, dirname
from dotenv import load_dotenv
dotenv_path = join(dirname(__file__), "../../", '.env')
load_dotenv(dotenv_path)
RASPI_URL ... | 28.135417 | 90 | 0.583858 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 891 | 0.329878 |
456e575a68c8ec3a64ef628b7c4703459442d23a | 199 | py | Python | python-fundamental/unit03/01.py | sharebook-kr/learningspoons-bootcamp-finance | 0288f3f3b39f54420e4e9987f1de12892dc680ea | [
"MIT"
] | 9 | 2020-10-25T15:13:32.000Z | 2022-03-26T11:27:21.000Z | python-fundamental/unit03/01.py | sharebook-kr/learningspoons-bootcamp-finance | 0288f3f3b39f54420e4e9987f1de12892dc680ea | [
"MIT"
] | null | null | null | python-fundamental/unit03/01.py | sharebook-kr/learningspoons-bootcamp-finance | 0288f3f3b39f54420e4e9987f1de12892dc680ea | [
"MIT"
] | 7 | 2021-03-01T11:06:45.000Z | 2022-03-14T07:06:04.000Z | import requests
import pandas as pd
url = "http://comp.fnguide.com/SVO2/common/lookup_data.asp?mkt_gb=1&comp_gb=1"
resp = requests.get(url)
data = resp.json()
df = pd.DataFrame(data=data)
df.head() | 22.111111 | 78 | 0.738693 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0.361809 |
4570e2df961c67f0b695d56e2b1d04a5a28131d6 | 7,316 | py | Python | tank-wars/game/instruction_view.py | isabelaranguren/cse210-project | 62c7812e7c592030cdfd4b08a91eea225c2820f6 | [
"MIT"
] | 1 | 2021-04-23T21:04:57.000Z | 2021-04-23T21:04:57.000Z | tank-wars/game/instruction_view.py | isabelaranguren/cse210-project | 62c7812e7c592030cdfd4b08a91eea225c2820f6 | [
"MIT"
] | 2 | 2021-03-04T19:48:38.000Z | 2021-03-07T06:39:55.000Z | tank-wars/game/instruction_view.py | isabelaranguren/cse210-project | 62c7812e7c592030cdfd4b08a91eea225c2820f6 | [
"MIT"
] | 2 | 2021-03-27T17:28:07.000Z | 2021-04-23T21:05:05.000Z | import arcade
from arcade.gui import UIImageButton, UIManager, UIToggle
import game.constants as constants
from game.gameview import GameView
class MainView(arcade.View):
""" View to show start screen. The responsibility of this class is to
offer the user to either play or view the instructions
Stereotype:... | 33.254545 | 122 | 0.613313 | 7,166 | 0.979497 | 0 | 0 | 0 | 0 | 0 | 0 | 4,215 | 0.576134 |
4571550f6f8b64310d107516d99e19dee198a41b | 2,711 | py | Python | src/api/datamanage/lite/dmonitor/filters.py | Chromico/bk-base | be822d9bbee544a958bed4831348185a75604791 | [
"MIT"
] | 84 | 2021-06-30T06:20:23.000Z | 2022-03-22T03:05:49.000Z | src/api/datamanage/lite/dmonitor/filters.py | Chromico/bk-base | be822d9bbee544a958bed4831348185a75604791 | [
"MIT"
] | 7 | 2021-06-30T06:21:16.000Z | 2022-03-29T07:36:13.000Z | src/api/datamanage/lite/dmonitor/filters.py | Chromico/bk-base | be822d9bbee544a958bed4831348185a75604791 | [
"MIT"
] | 40 | 2021-06-30T06:21:26.000Z | 2022-03-29T12:42:26.000Z | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available.
Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
BK-BASE 蓝鲸基础平台 is licensed under the MIT License.
License for BK-BASE 蓝鲸基础平台:
---------------------------------------------... | 41.707692 | 111 | 0.727407 | 1,040 | 0.378595 | 0 | 0 | 0 | 0 | 0 | 0 | 1,545 | 0.562432 |
4571c0f5a311380362a2ed94f464b2d2bf10f14f | 1,162 | py | Python | project/concept_recog.py | hskang9/HelloWorld | 50b09f710176f082c5dac955bc7ea3578a42bd40 | [
"MIT"
] | null | null | null | project/concept_recog.py | hskang9/HelloWorld | 50b09f710176f082c5dac955bc7ea3578a42bd40 | [
"MIT"
] | null | null | null | project/concept_recog.py | hskang9/HelloWorld | 50b09f710176f082c5dac955bc7ea3578a42bd40 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import json
from watson_developer_cloud import NaturalLanguageUnderstandingV1 as nlu
import watson_developer_cloud.natural_language_understanding.features.v1 \
as Features
def concept_recog(path='./test.txt'):
#with open(path, 'rt', encoding='utf-8') as f:
# inputs = f.read()
... | 28.341463 | 74 | 0.605852 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 325 | 0.27969 |
45723f2ab738ef71e49f0975850a3b605e12c203 | 2,120 | py | Python | tests/test_utils_math.py | kevinddchen/Cirq-PrimeFactorization | 9104a60b983b345595c8016205dd0dd616483eaa | [
"MIT"
] | null | null | null | tests/test_utils_math.py | kevinddchen/Cirq-PrimeFactorization | 9104a60b983b345595c8016205dd0dd616483eaa | [
"MIT"
] | null | null | null | tests/test_utils_math.py | kevinddchen/Cirq-PrimeFactorization | 9104a60b983b345595c8016205dd0dd616483eaa | [
"MIT"
] | null | null | null | import pytest
from factor import modular_inverse, continued_fraction, approximate_fraction, is_prime
def test_modular_inverse():
assert modular_inverse(a=1, N=2) == 1
assert modular_inverse(a=1, N=5) == 1
assert modular_inverse(a=2, N=5) == 3
assert modular_inverse(a=3, N=5) == 2
assert modular_i... | 34.193548 | 86 | 0.64717 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4573153b3fe512c2a5e16ccae54eb2974cf42494 | 6,242 | py | Python | i7app/__main__.py | eblade/images7 | 7fa7c961e046a178243c866fd1f3b82f7e58c73d | [
"BSD-3-Clause",
"MIT"
] | null | null | null | i7app/__main__.py | eblade/images7 | 7fa7c961e046a178243c866fd1f3b82f7e58c73d | [
"BSD-3-Clause",
"MIT"
] | null | null | null | i7app/__main__.py | eblade/images7 | 7fa7c961e046a178243c866fd1f3b82f7e58c73d | [
"BSD-3-Clause",
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
import os
import zmq
import time
import logging
from PyQt5 import QtWidgets as W, QtCore as C, QtGui as G
from qtzevents.bus import Pub, Push
from qtzevents.background import Background
from images7.config import Config
from images7.system import System
from .grid import ThumbView
... | 27.257642 | 103 | 0.630567 | 5,114 | 0.819289 | 0 | 0 | 0 | 0 | 0 | 0 | 525 | 0.084108 |
45754cc8939f2ca8f5551df60c1a102df61680b5 | 2,049 | py | Python | week01/day01/shopping.py | GsQxZz/fullstack | 9010c0c69aec901fd0e0b4434445e822f682c367 | [
"Apache-2.0"
] | null | null | null | week01/day01/shopping.py | GsQxZz/fullstack | 9010c0c69aec901fd0e0b4434445e822f682c367 | [
"Apache-2.0"
] | null | null | null | week01/day01/shopping.py | GsQxZz/fullstack | 9010c0c69aec901fd0e0b4434445e822f682c367 | [
"Apache-2.0"
] | null | null | null |
iphone_price = 5800
mac_price = 9000
coffee_price = 32
python_price = 80
bicyle_price = 1500
list = []
salary = int(input("Please input your salary:"))
print("**********欢迎来到购物车系统**********")
while True:
print("1. iPhone 11 ————%d元" % iphone_price)
print("2. Mac book ————%d" % mac_price)
print("3. cof... | 28.859155 | 60 | 0.537823 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 880 | 0.363486 |
45756f7f3335ea9abab94df669ff19ff707b1db9 | 1,079 | py | Python | test/test_edit_contact.py | Zaichkov/python_training | be8aff0b38c5a93c5574762ce5c8c27e6fe11b5a | [
"Apache-2.0"
] | null | null | null | test/test_edit_contact.py | Zaichkov/python_training | be8aff0b38c5a93c5574762ce5c8c27e6fe11b5a | [
"Apache-2.0"
] | null | null | null | test/test_edit_contact.py | Zaichkov/python_training | be8aff0b38c5a93c5574762ce5c8c27e6fe11b5a | [
"Apache-2.0"
] | null | null | null | from model.contact import Contact
import random
def test_edit_some_contact(app, orm, check_ui):
if len(orm.get_contact_list()) == 0:
app.contact.create(Contact(firstname="St_Claus"))
old_contacts = orm.get_contact_list()
contact_for_edit = random.choice(old_contacts)
contact = Contact(firstnam... | 46.913043 | 107 | 0.720111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 119 | 0.110287 |
4576b3475ac0244bd672a11541f51bd060fa0ab8 | 1,555 | py | Python | dowsing/maturin.py | thatch/dowsing | ee81fb26ea4ac67bb951652706107d7f40a546bd | [
"MIT"
] | 1 | 2022-03-21T22:41:58.000Z | 2022-03-21T22:41:58.000Z | dowsing/maturin.py | thatch/dowsing | ee81fb26ea4ac67bb951652706107d7f40a546bd | [
"MIT"
] | 47 | 2020-10-02T20:33:58.000Z | 2022-03-31T19:10:18.000Z | dowsing/maturin.py | thatch/dowsing | ee81fb26ea4ac67bb951652706107d7f40a546bd | [
"MIT"
] | 4 | 2020-05-25T04:50:51.000Z | 2022-02-04T15:20:28.000Z | from pathlib import Path
from typing import Sequence
import tomlkit
from .types import BaseReader, Distribution
class MaturinReader(BaseReader):
def __init__(self, path: Path):
self.path = path
def get_requires_for_build_sdist(self) -> Sequence[str]:
return [] # TODO
def get_requires_... | 29.339623 | 91 | 0.534405 | 1,438 | 0.924759 | 0 | 0 | 0 | 0 | 0 | 0 | 357 | 0.229582 |
457919564bdf80b71f716bf686e0ed54de0bb593 | 9,424 | py | Python | pytype/overlays/typed_dict.py | hboshnak/pytype | b6b6448dc562a7200326c92e75efeed203984e16 | [
"Apache-2.0"
] | null | null | null | pytype/overlays/typed_dict.py | hboshnak/pytype | b6b6448dc562a7200326c92e75efeed203984e16 | [
"Apache-2.0"
] | null | null | null | pytype/overlays/typed_dict.py | hboshnak/pytype | b6b6448dc562a7200326c92e75efeed203984e16 | [
"Apache-2.0"
] | null | null | null | """Implementation of TypedDict."""
import dataclasses
from typing import Any, Dict, Set
from pytype.abstract import abstract
from pytype.abstract import abstract_utils
from pytype.abstract import function
from pytype.overlays import classgen
from pytype.pytd import pytd
@dataclasses.dataclass
class TypedDictProper... | 34.520147 | 80 | 0.694822 | 9,115 | 0.967211 | 0 | 0 | 704 | 0.074703 | 0 | 0 | 2,111 | 0.224003 |
4579450f7ab9dcd55c2527f2db1b882e121fbb78 | 4,962 | py | Python | esmvaltool/cmorizers/obs/cmorize_obs_aphro_ma.py | cffbots/ESMValTool | a9b6592a02f2085634a214ff5f36a736fa18ff47 | [
"Apache-2.0"
] | 148 | 2017-02-07T13:16:03.000Z | 2022-03-26T02:21:56.000Z | esmvaltool/cmorizers/obs/cmorize_obs_aphro_ma.py | cffbots/ESMValTool | a9b6592a02f2085634a214ff5f36a736fa18ff47 | [
"Apache-2.0"
] | 2,026 | 2017-02-03T12:57:13.000Z | 2022-03-31T15:11:51.000Z | esmvaltool/cmorizers/obs/cmorize_obs_aphro_ma.py | cffbots/ESMValTool | a9b6592a02f2085634a214ff5f36a736fa18ff47 | [
"Apache-2.0"
] | 113 | 2017-01-27T13:10:19.000Z | 2022-02-03T13:42:11.000Z | """ESMValTool CMORizer for APHRODITE Monsoon Asia (APHRO-MA) data.
Tier
Tier 3: restricted dataset.
Source
http://aphrodite.st.hirosaki-u.ac.jp/download/
Last access
20200306
Download and processing instructions
Register at
http://aphrodite.st.hirosaki-u.ac.jp/download/create/
Download the ... | 33.08 | 77 | 0.620919 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,430 | 0.489525 |
457e24632a032a8570bd0202286ce93c186089e2 | 1,285 | py | Python | tests/test_init.py | Oprax/backup-utils | 8de928d5257c9a67c65ca906e49596abe1e3b1ba | [
"MIT"
] | null | null | null | tests/test_init.py | Oprax/backup-utils | 8de928d5257c9a67c65ca906e49596abe1e3b1ba | [
"MIT"
] | null | null | null | tests/test_init.py | Oprax/backup-utils | 8de928d5257c9a67c65ca906e49596abe1e3b1ba | [
"MIT"
] | null | null | null | import sys
import json
from pathlib import Path
from unittest.mock import patch
import pytest
from conftest import FakeFile, config
@patch.object(sys, "argv", ["backup_utils", "-v"])
def test_version(capsys):
from backup_utils import main, __version__
with pytest.raises(SystemExit):
main()
cap... | 25.7 | 68 | 0.650584 | 0 | 0 | 0 | 0 | 659 | 0.51284 | 0 | 0 | 584 | 0.454475 |
457e2b38d8a451c8e775c1c394ef7b2670d5e8bd | 5,074 | py | Python | tests/walkers/enum_values_test.py | yyang08/swagger-spec-compatibility | e7a6ba6fc53c6a8a92ba26016219a595a8cecbbe | [
"Apache-2.0"
] | 18 | 2019-04-30T21:07:30.000Z | 2021-12-16T17:56:08.000Z | tests/walkers/enum_values_test.py | yyang08/swagger-spec-compatibility | e7a6ba6fc53c6a8a92ba26016219a595a8cecbbe | [
"Apache-2.0"
] | 30 | 2019-02-26T11:25:44.000Z | 2021-04-16T00:12:11.000Z | tests/walkers/enum_values_test.py | yyang08/swagger-spec-compatibility | e7a6ba6fc53c6a8a92ba26016219a595a8cecbbe | [
"Apache-2.0"
] | 6 | 2019-02-25T22:12:29.000Z | 2020-12-23T00:24:48.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
from copy import deepcopy
import mock
import pytest
from swagger_spec_compatibility.spec_utils import load_spec_from_spec_dict
from swagger_spec_compatibility.util import Entit... | 38.732824 | 136 | 0.522862 | 0 | 0 | 0 | 0 | 999 | 0.196886 | 0 | 0 | 1,296 | 0.25542 |
457e798e0ae1080ec8d8cbb20b32459584d047c1 | 4,997 | py | Python | src/logisimpy/multiplexer.py | Kingorgg/logisimpy | de8764c931b42c04a2f6341a1d3811226b90c425 | [
"MIT"
] | null | null | null | src/logisimpy/multiplexer.py | Kingorgg/logisimpy | de8764c931b42c04a2f6341a1d3811226b90c425 | [
"MIT"
] | null | null | null | src/logisimpy/multiplexer.py | Kingorgg/logisimpy | de8764c931b42c04a2f6341a1d3811226b90c425 | [
"MIT"
] | null | null | null | from logisimpy.circuit import Circuit, Wire
from logisimpy.logic import AND, AND3, NOT, OR
class MUX2x1(Circuit):
"""
2x1 Multiplexer logic.
The MUX element has two data inputs, one select input and one data output.
If the select input is 0, the data from the first input is transfered
to the outp... | 26.721925 | 86 | 0.336202 | 4,900 | 0.980588 | 0 | 0 | 0 | 0 | 0 | 0 | 3,023 | 0.604963 |