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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
07ecf6e35de80815108408166a2377f418337a31 | 5,910 | py | Python | bach_code/clean.py | glasperfan/thesis | aead2dfb8052afbff4d05203a0be5b0b7ef69462 | [
"Apache-2.0"
] | 5 | 2015-12-08T21:47:41.000Z | 2020-10-28T12:39:08.000Z | bach_code/clean.py | glasperfan/thesis | aead2dfb8052afbff4d05203a0be5b0b7ef69462 | [
"Apache-2.0"
] | null | null | null | bach_code/clean.py | glasperfan/thesis | aead2dfb8052afbff4d05203a0be5b0b7ef69462 | [
"Apache-2.0"
] | 1 | 2020-10-28T12:39:09.000Z | 2020-10-28T12:39:09.000Z | #########
#
## File: clean.py
## Author: Hugh Zabriskie (c) 2015
## Description: Clean and quantize the Bach chorales.
#
#
# Total 4-voice chorales cleaned: 326
#
# TODO: write a script to go through all of the chorales and find any where key_sig.mode == None
#
#########
from helpers import *
# Remove all slurs from... | 28.550725 | 101 | 0.672589 |
71f39d8683d3da4dafb35b4e6b3f0e75fa654ab4 | 3,438 | py | Python | brainfuck/txttobf.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2017-12-12T13:58:08.000Z | 2017-12-12T13:58:08.000Z | brainfuck/txttobf.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | null | null | null | brainfuck/txttobf.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2019-11-03T10:16:35.000Z | 2019-11-03T10:16:35.000Z | def gcd(a, b):
if(b is 0):
return a
else:
return gcd(b, a % b)
def inverse_mod(n, m):
inv1 = 1
inv2 = 0
while(m):
tmp = inv1
inv1 = inv2
inv2 = tmp - inv2 * (n / m | 0)
tmp = n
n = m
m = tmp % m
return inv1
def shortest_str(arr)... | 14.445378 | 95 | 0.463933 |
9c798113e25340f14976700747cbedc54734174a | 905 | py | Python | sketches/codingtrain_unicorn_rainbow_3/codingtrain.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/codingtrain_unicorn_rainbow_3/codingtrain.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/codingtrain_unicorn_rainbow_3/codingtrain.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | class CodingTrain:
def __init__(self, x):
self.im = loadImage("train.png")
self.d = 90 # Durchmesser
self.pos = PVector(width + x, random(height - 100))
self.speed = 5
self.reset = False
def update(self):
self.pos.x -= self.speed
if self.pos.x < -100... | 30.166667 | 67 | 0.519337 |
92c6878a5acce05545d3ae9a9edae36c53fb889f | 7,234 | py | Python | lib/functions.py | bsolano/Alzheimer-Resnets | b7b4f0d240f932513ef3427924894358b87dd68f | [
"MIT"
] | 3 | 2020-04-01T08:13:31.000Z | 2020-10-30T01:01:41.000Z | lib/functions.py | bsolano/Alzheimer-Resnets | b7b4f0d240f932513ef3427924894358b87dd68f | [
"MIT"
] | null | null | null | lib/functions.py | bsolano/Alzheimer-Resnets | b7b4f0d240f932513ef3427924894358b87dd68f | [
"MIT"
] | 1 | 2021-01-27T11:46:49.000Z | 2021-01-27T11:46:49.000Z | from sklearn.metrics import classification_report
from sklearn.metrics import accuracy_score
from sklearn.metrics import precision_score
from sklearn.metrics import recall_score
from sklearn.metrics import confusion_matrix
from sklearn.metrics import auc
from sklearn.metrics import roc_curve
from sklearn.metrics import... | 33.646512 | 141 | 0.626071 |
b9c949da6299905afaf218c146efd7eee7578a68 | 2,173 | py | Python | source-code/Pseudocode/Calculate-Legendre/calculate_legendre.py | RalfGuder/LaTeX-examples | a1bf9fe422969be1ca4674394ebd2170c07f7693 | [
"MIT"
] | 1,231 | 2015-01-07T04:04:25.000Z | 2022-03-31T17:43:29.000Z | source-code/Pseudocode/Calculate-Legendre/calculate_legendre.py | DoubleL61/LaTeX-examples | cd0d97f85fadb59b7c6e9062b37a8bf7d725ba0c | [
"MIT"
] | 5 | 2015-05-10T13:10:47.000Z | 2021-05-02T21:28:49.000Z | source-code/Pseudocode/Calculate-Legendre/calculate_legendre.py | DoubleL61/LaTeX-examples | cd0d97f85fadb59b7c6e9062b37a8bf7d725ba0c | [
"MIT"
] | 400 | 2015-01-05T06:22:18.000Z | 2022-03-19T04:07:59.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
def is_prime(a):
"""
Check if `a` is a prime number.
Parameters
----------
a : int, a >= 2
"""
return all(a % i for i in xrange(2, a))
# http://stackoverflow.com/a/14793082/562769
def factorize(n):
factors = []
p = 2
while True:... | 22.873684 | 79 | 0.52324 |
163e4cbbe95a5c4280f76e3560f81971a8a8ed4f | 344 | py | Python | ZbjDjChannels/chatroom/views.py | zbjlala/ZbjDjChannels | c4da2339574e2e398bd452eef4d026eab309752c | [
"MIT"
] | null | null | null | ZbjDjChannels/chatroom/views.py | zbjlala/ZbjDjChannels | c4da2339574e2e398bd452eef4d026eab309752c | [
"MIT"
] | null | null | null | ZbjDjChannels/chatroom/views.py | zbjlala/ZbjDjChannels | c4da2339574e2e398bd452eef4d026eab309752c | [
"MIT"
] | null | null | null | import json
from django.shortcuts import render
# Create your views here.
from django.utils.safestring import mark_safe
def index(request):
return render(request, 'chatroom/index.html', {})
def room(request, room_name):
return render(request, 'chatroom/room.html', {
'room_name_json': mark_safe(json.... | 24.571429 | 58 | 0.726744 |
1653d7ea5484067db7a7cbeef7d0efd413abe9bb | 1,769 | py | Python | v602/python/emission.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | 2 | 2019-12-10T10:25:11.000Z | 2021-01-26T13:59:40.000Z | v602/python/emission.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | null | null | null | v602/python/emission.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | 1 | 2020-12-06T21:24:58.000Z | 2020-12-06T21:24:58.000Z | import numpy as np
import matplotlib.pyplot as plt
import scipy.constants as const
from scipy.stats import sem
h = const.Planck
c = const.speed_of_light
q = const.elementary_charge
d = 201.4*10**(-12) #m
u = 35*10**3 #eV
thetamin = 5*np.pi/180
lmint = (h*c)/(q*u)
print('Theorie lmin', lmint)
lmin = 2*d*np.sin(thetami... | 18.819149 | 65 | 0.623516 |
4c319119bfb8f09541ae5c59d13e766d509f1af3 | 1,824 | py | Python | Caesar_Cipher/c_cipher.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 4 | 2021-04-23T15:39:17.000Z | 2021-12-27T22:53:24.000Z | Caesar_Cipher/c_cipher.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | null | null | null | Caesar_Cipher/c_cipher.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 2 | 2021-04-19T08:28:54.000Z | 2022-01-19T13:23:29.000Z | #!/usr/bin/python2
#-*- coding:utf-8 -*-
import string
import collections
import sys
def caesar_encrypt_decrypt(rotate_string,rotate_number):
upper = collections.deque(string.ascii_uppercase)
lower = collections.deque(string.ascii_lowercase)
upper.rotate(rotate_number)
lower.rotate(rotate_number)
... | 32 | 145 | 0.572368 |
4c40a38756ee564d3740da20cad65e11b41b8c94 | 7,254 | py | Python | huTools/calendar/formats.py | gadventures/huTools | 8bc58d63491bcd3cfc3e78d219be703d943ffeb5 | [
"BSD-3-Clause"
] | null | null | null | huTools/calendar/formats.py | gadventures/huTools | 8bc58d63491bcd3cfc3e78d219be703d943ffeb5 | [
"BSD-3-Clause"
] | null | null | null | huTools/calendar/formats.py | gadventures/huTools | 8bc58d63491bcd3cfc3e78d219be703d943ffeb5 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
"""
formats.py - formating and parsing of timestamps.
Created by Maximillian Dornseif on 2007-06-24.
Copyright (c) 2007, 2010 HUDORA GmbH. All rights reserved.
"""
from __future__ import unicode_literals
from past.builtins import basestring
import unittest
import datetime
impor... | 38.585106 | 107 | 0.598153 |
5d8b8934cd339139c8e4874d45b1f5848ff86deb | 2,941 | py | Python | src/visuanalytics/analytics/thumbnail/thumbnail.py | mxsph/Data-Analytics | c82ff54b78f50b6660d7640bfee96ea68bef598f | [
"MIT"
] | 3 | 2020-08-24T19:02:09.000Z | 2021-05-27T20:22:41.000Z | src/visuanalytics/analytics/thumbnail/thumbnail.py | mxsph/Data-Analytics | c82ff54b78f50b6660d7640bfee96ea68bef598f | [
"MIT"
] | 342 | 2020-08-13T10:24:23.000Z | 2021-08-12T14:01:52.000Z | src/visuanalytics/analytics/thumbnail/thumbnail.py | visuanalytics/visuanalytics | f9cce7bc9e3227568939648ddd1dd6df02eac752 | [
"MIT"
] | 8 | 2020-09-01T07:11:18.000Z | 2021-04-09T09:02:11.000Z | """
Modul, welches Thumbnails erzeugt.
"""
import numbers
import os
import shutil
from PIL import Image
from visuanalytics.analytics.control.procedures.step_data import StepData
from visuanalytics.analytics.processing.image.visualization import IMAGE_TYPES
from visuanalytics.analytics.util.step_errors import raise_s... | 35.865854 | 113 | 0.732744 |
5d5946471e2f61dc238f80f73d15bb52a31eed67 | 395 | py | Python | Chapter3_DeepLearning/mnistDnn.py | derfabs/UdemyGAN_Template | 1c7d263d22ccf1ba580c71befe71e3bf6e2facb6 | [
"MIT"
] | null | null | null | Chapter3_DeepLearning/mnistDnn.py | derfabs/UdemyGAN_Template | 1c7d263d22ccf1ba580c71befe71e3bf6e2facb6 | [
"MIT"
] | null | null | null | Chapter3_DeepLearning/mnistDnn.py | derfabs/UdemyGAN_Template | 1c7d263d22ccf1ba580c71befe71e3bf6e2facb6 | [
"MIT"
] | null | null | null | from tensorflow.keras.layers import Activation
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential
from tensorflow.keras.optimizers import Adamax
from mnistData1 import MNIST
mnist_data = MNIST()
x_train, y_train = mnist_data.get_train_set()
x_test, y_test = mnist_data.get_test_se... | 30.384615 | 69 | 0.805063 |
07456147664201ad4d8406edd2dd7aa702068c23 | 1,997 | py | Python | research/cv/ghostnet/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/ghostnet/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/ghostnet/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 44.377778 | 104 | 0.696044 |
919451da453cb49a9c9e68da275f88947f126e04 | 3,074 | py | Python | docs/tutorial-integration/YodaSpeak/Integrations/YodaSpeak/YodaSpeak_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | docs/tutorial-integration/YodaSpeak/Integrations/YodaSpeak/YodaSpeak_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 87 | 2022-02-23T12:10:53.000Z | 2022-03-31T11:29:05.000Z | docs/tutorial-integration/YodaSpeak/Integrations/YodaSpeak/YodaSpeak_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | import io
import json
import pytest
from CommonServerPython import (CommandResults, DemistoException,
tableToMarkdown, urljoin)
from YodaSpeak import TRANSLATE_OUTPUT_PREFIX
def util_load_json(path: str):
with io.open(path, mode='r', encoding='utf-8') as f:
return json.lo... | 35.333333 | 105 | 0.662004 |
91beb89ccc67a4754ce37156a3682bfd13c57c28 | 390 | py | Python | Crashkurs TensorFlow/06_Reshape.py | slogslog/Kurzgeschichten-in-CSharp | 3918c4174220e558cdeeada0edac941811418b93 | [
"Unlicense"
] | 2 | 2019-03-15T20:48:34.000Z | 2019-04-22T15:24:09.000Z | Crashkurs TensorFlow/06_Reshape.py | slogslog/Coding-Kurzgeschichten | 9b08237038147c6c348d4cf4c69567178e07dd1d | [
"Unlicense"
] | null | null | null | Crashkurs TensorFlow/06_Reshape.py | slogslog/Coding-Kurzgeschichten | 9b08237038147c6c348d4cf4c69567178e07dd1d | [
"Unlicense"
] | null | null | null | # Unterdrückt die AVX2 Warnung
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
# Liste
r = tf.range(1,28)
print(r)
print(r.numpy())
# 2d-Array (Tensor mit Rang 2)
r2 = tf.reshape(r, [3, -1])
print(r2)
print(r2.numpy())
# 3d-Array (Tensor mit Rang 3)
r3 = tf.reshape(r, [3, 3, -1])
print(r3)
... | 16.25 | 38 | 0.648718 |
91dc97183370fbd4966f71a5528ef229c07d0adb | 92 | py | Python | 2014/05/commoncore-states/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2014/05/commoncore-states/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2014/05/commoncore-states/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 7 | 2015-04-04T04:45:54.000Z | 2021-02-18T11:12:48.000Z | #!/usr/bin/env python
COPY_GOOGLE_DOC_KEY = '1M3pZ2kI8yDtLw8aYNv9vXHOg1zZariiq-_RMMtB1Rug'
| 23 | 68 | 0.836957 |
534168c79f98ee8dcc4ffc3c848871722868d01a | 296 | py | Python | pandemie/util/encoding.py | marvinsxtr/informaticup-2020-pandemie | 0d37d5236eadfe7bb3cbd7cbfd0e1b7afca74c89 | [
"MIT"
] | null | null | null | pandemie/util/encoding.py | marvinsxtr/informaticup-2020-pandemie | 0d37d5236eadfe7bb3cbd7cbfd0e1b7afca74c89 | [
"MIT"
] | null | null | null | pandemie/util/encoding.py | marvinsxtr/informaticup-2020-pandemie | 0d37d5236eadfe7bb3cbd7cbfd0e1b7afca74c89 | [
"MIT"
] | 1 | 2020-03-28T00:02:41.000Z | 2020-03-28T00:02:41.000Z | import string
def filter_unicode(data):
"""
Function to remove all non-printable characters from a string
:param data: str: String to be analysed
:return: String with all non-printable characters removed
"""
return "".join(c for c in str(data) if c in string.printable)
| 26.909091 | 65 | 0.699324 |
726626e2f02f1264337afc0c6a2aad448b58c024 | 7,348 | py | Python | oneflow/python/benchmarks/cnn_benchmark/alexnet.py | wanghongsheng01/framework_enflame | debf613e05e3f5ea8084c3e79b60d0dd9e349526 | [
"Apache-2.0"
] | 2 | 2021-09-10T00:19:49.000Z | 2021-11-16T11:27:20.000Z | oneflow/python/benchmarks/cnn_benchmark/alexnet.py | duijiudanggecl/oneflow | d2096ae14cf847509394a3b717021e2bd1d72f62 | [
"Apache-2.0"
] | 1 | 2021-06-16T08:37:50.000Z | 2021-06-16T08:37:50.000Z | oneflow/python/benchmarks/cnn_benchmark/alexnet.py | duijiudanggecl/oneflow | d2096ae14cf847509394a3b717021e2bd1d72f62 | [
"Apache-2.0"
] | 1 | 2021-11-10T07:57:01.000Z | 2021-11-10T07:57:01.000Z | """
Copyright 2020 The OneFlow 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 applicable law or agr... | 29.15873 | 86 | 0.63092 |
72a3f63f60861f30e63a40b6b3f8063618ddb6fd | 25,524 | py | Python | hotspot/code/package/utils.py | FudanYuan/faultLocalization | 5133ee5af48f7d4c8ba05ef9a545139a38f417da | [
"Apache-2.0"
] | 13 | 2019-03-13T06:07:18.000Z | 2022-02-22T03:34:35.000Z | hotspot/code/package/utils.py | FudanYuan/faultLocalization | 5133ee5af48f7d4c8ba05ef9a545139a38f417da | [
"Apache-2.0"
] | null | null | null | hotspot/code/package/utils.py | FudanYuan/faultLocalization | 5133ee5af48f7d4c8ba05ef9a545139a38f417da | [
"Apache-2.0"
] | 4 | 2019-03-13T06:07:32.000Z | 2019-06-11T11:35:52.000Z | # coding: utf-8
import itertools
import pickle
import numpy as np
import os
from sklearn.externals import joblib
'''
笛卡尔积
'''
class cartesian(object):
def __init__(self):
self._data_list = []
self._res_list = []
def add_data(self, data=[]): # 添加生成笛卡尔积的数据列表
self._data_list.append(data)... | 36.462857 | 130 | 0.54964 |
beb3640f3ff9eed9f9478885e6ce695a31bcb8b6 | 1,702 | py | Python | hist_db/config.py | apragacz/hist-db | a2631a7eab004499dae98a0495bc17ee78c6be8a | [
"MIT"
] | 1 | 2021-12-14T22:52:46.000Z | 2021-12-14T22:52:46.000Z | hist_db/config.py | apragacz/hist-db | a2631a7eab004499dae98a0495bc17ee78c6be8a | [
"MIT"
] | null | null | null | hist_db/config.py | apragacz/hist-db | a2631a7eab004499dae98a0495bc17ee78c6be8a | [
"MIT"
] | null | null | null | from __future__ import absolute_import, print_function, unicode_literals
import os
from collections import OrderedDict
import six
from six.moves.configparser import ConfigParser, NoSectionError
CONFIG_DEFAULTS = {
'logging': {
'file': '~/.hist-db.log',
'append': True,
'level': 'error',
... | 32.113208 | 78 | 0.69389 |
22c04b0d65bccdb81c0a0c2c14b3069c3ed6fbb0 | 7,198 | py | Python | Tic-Tac-Toe.py | BenzyBM/Tic-Tac-Toe_by_Benzy | 00bd8ff583b11b20e10786566f89cdf6bc61190d | [
"MIT"
] | null | null | null | Tic-Tac-Toe.py | BenzyBM/Tic-Tac-Toe_by_Benzy | 00bd8ff583b11b20e10786566f89cdf6bc61190d | [
"MIT"
] | null | null | null | Tic-Tac-Toe.py | BenzyBM/Tic-Tac-Toe_by_Benzy | 00bd8ff583b11b20e10786566f89cdf6bc61190d | [
"MIT"
] | null | null | null | import random as rand
# globale Variablen
print("Bitte geben Sie die Göße des Spielfelds ein: ")
groesse_spielfeld = int(input())
# COINFLIP FÜR RUNDENSTART
def Ermittlung_Rundenstart():
spieler_coin = input("Kopf oder Zahl? : ")
# Kopf hat den Wert 0 und Zahl hat den Wert 1. Wenn der Spieler
# Kopf oder... | 32.86758 | 99 | 0.532092 |
43aaf2c40fb47335efc0eaea8bd9ad48433cd997 | 1,612 | py | Python | tests/login/test_microsoft_login.py | scottyellis/fence | 012ba76a58853169e9ee8e3f44a0dc510f4b2543 | [
"Apache-2.0"
] | 31 | 2018-01-05T22:49:33.000Z | 2022-02-02T10:30:23.000Z | tests/login/test_microsoft_login.py | scottyellis/fence | 012ba76a58853169e9ee8e3f44a0dc510f4b2543 | [
"Apache-2.0"
] | 737 | 2017-12-11T17:42:11.000Z | 2022-03-29T22:42:52.000Z | tests/login/test_microsoft_login.py | scottyellis/fence | 012ba76a58853169e9ee8e3f44a0dc510f4b2543 | [
"Apache-2.0"
] | 46 | 2018-02-23T09:04:23.000Z | 2022-02-09T18:29:51.000Z | """
Tests for fence.resources.openid.microsoft_oauth2.MicrosoftOauth2Client
"""
from unittest.mock import patch
def test_get_auth_url(microsoft_oauth2_client):
"""
Test call to Get authorization uri from discovery doc
"""
url = microsoft_oauth2_client.get_auth_url()
assert url # nosec
def test... | 31 | 85 | 0.709057 |
43de91aded3d53591feb2dcc2f5e43fcaed94031 | 605 | py | Python | tokenizer/python/python_tokenizer.py | Submitty/Lichen | a45457ed5e46ef12216bdf6c7051209bc00c4dff | [
"BSD-3-Clause"
] | 5 | 2019-03-04T12:59:53.000Z | 2022-03-25T03:07:00.000Z | tokenizer/python/python_tokenizer.py | Submitty/Lichen | a45457ed5e46ef12216bdf6c7051209bc00c4dff | [
"BSD-3-Clause"
] | 12 | 2018-06-05T16:35:31.000Z | 2022-02-14T21:43:40.000Z | tokenizer/python/python_tokenizer.py | Submitty/Lichen | a45457ed5e46ef12216bdf6c7051209bc00c4dff | [
"BSD-3-Clause"
] | 2 | 2018-06-05T18:00:09.000Z | 2019-03-04T12:59:57.000Z | from parso.python.tokenize import tokenize
import json
import sys
file = open(sys.argv[1], 'r')
file_content = file.read()
tokens = []
for token in tokenize(file_content, version_info=(3, 6)):
if (str(token.string) != ""):
tmp = dict()
tmp["line"] = (token.start_pos)[0]
tmp["char"] = ((to... | 27.5 | 57 | 0.571901 |
7198f4d8d5e56b0cc3b75161e401a03c98b2e3cb | 19,976 | py | Python | official/cv/deeptext/src/dataset.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/deeptext/src/dataset.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/deeptext/src/dataset.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 38.122137 | 119 | 0.604325 |
71c3a1a509e17c3ceac9f86e59a0bbb5e227da66 | 842 | py | Python | tests/test_identity_type.py | sabanawaf/user-sync.py | 51a7f9165d1740120b172edf507f1b3b3d5e57f8 | [
"MIT"
] | 82 | 2017-02-25T00:41:37.000Z | 2022-02-21T04:30:23.000Z | tests/test_identity_type.py | sabanawaf/user-sync.py | 51a7f9165d1740120b172edf507f1b3b3d5e57f8 | [
"MIT"
] | 562 | 2017-01-20T20:50:31.000Z | 2022-03-29T21:07:59.000Z | tests/test_identity_type.py | sabanawaf/user-sync.py | 51a7f9165d1740120b172edf507f1b3b3d5e57f8 | [
"MIT"
] | 81 | 2017-02-06T13:16:38.000Z | 2022-03-15T16:46:20.000Z | import pytest
from user_sync.error import AssertionException
from user_sync.identity_type import parse_identity_type
def test_parse_valid():
assert parse_identity_type('federatedID') == 'federatedID'
assert parse_identity_type('adobeID') == 'adobeID'
assert parse_identity_type('enterpriseID') == 'enterpri... | 38.272727 | 87 | 0.752969 |
e0d5cf988b7b8124b0f88cafe004fc2c0720d943 | 584 | py | Python | IS201/eratoshenes.py | czx99/my_IScourse | 24a63c6a1874a89df1e48fe558df37e2fa777083 | [
"MIT"
] | 2 | 2020-10-29T16:25:37.000Z | 2020-11-22T11:19:19.000Z | IS201/eratoshenes.py | Snowfall99/my_IScourse | 24a63c6a1874a89df1e48fe558df37e2fa777083 | [
"MIT"
] | null | null | null | IS201/eratoshenes.py | Snowfall99/my_IScourse | 24a63c6a1874a89df1e48fe558df37e2fa777083 | [
"MIT"
] | 1 | 2020-09-17T14:36:23.000Z | 2020-09-17T14:36:23.000Z | import numpy as np
def eratoshenes(N):
array = []
p = int(np.sqrt(N))
result = []
for i in range(2,N):
result.append(i)
for i in range(2,p+1):
flag = True
for j in range(2, i):
if i % j == 0:
flag = False
if flag:
array.appen... | 18.25 | 34 | 0.441781 |
1c12d78e4cc2bca30d54a8c41bc19dae8b8de50e | 639 | py | Python | raspberry-code/kaffee.py | maschnetwork/raspberry-alexa-iot | e75d1f1363010beacc105536cf6866e4f9fe9f7f | [
"MIT"
] | null | null | null | raspberry-code/kaffee.py | maschnetwork/raspberry-alexa-iot | e75d1f1363010beacc105536cf6866e4f9fe9f7f | [
"MIT"
] | null | null | null | raspberry-code/kaffee.py | maschnetwork/raspberry-alexa-iot | e75d1f1363010beacc105536cf6866e4f9fe9f7f | [
"MIT"
] | null | null | null | from gpiozero import LED
from cloud import Cloud
from time import sleep
def make_coffee():
i = 0
while(i < 200):
s.on()
sleep(0.0019)
s.off()
sleep(0.0015)
i += 1
sleep(1)
while(i > 0):
s.on()
sleep(0.0023)
s.off()
sleep(0.0015)
... | 17.75 | 42 | 0.525822 |
c7339f9c9e952d74e0528d03cc48c2003d595bfd | 11,136 | py | Python | chord_rec/datasets/krn2vec.py | TianxueHu/ChordSymbolRec | d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac | [
"Unlicense",
"MIT"
] | null | null | null | chord_rec/datasets/krn2vec.py | TianxueHu/ChordSymbolRec | d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac | [
"Unlicense",
"MIT"
] | null | null | null | chord_rec/datasets/krn2vec.py | TianxueHu/ChordSymbolRec | d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac | [
"Unlicense",
"MIT"
] | null | null | null | import os
import pandas as pd
import numpy as np
from chord_rec.utils import to_21d_vec, get_beat_vector, specialChords, specialChordsABC
import re
from chord_rec.harmalysis.inputRN2Chord import inputRN
import pickle
import psutil
import h5py
#import sys
#sys.path.insert(0, './harmalysis')
#from inputRN2Chord import in... | 40.791209 | 153 | 0.541936 |
297e8c406e93fe9115a139a672478c622d285489 | 249 | py | Python | S4CTF/2021/crypto/Baby-Xor/baby_xor.py | mystickev/ctf-archives | 89e99a5cd5fb6b2923cad3fe1948d3ff78649b4e | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | S4CTF/2021/crypto/Baby-Xor/baby_xor.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | S4CTF/2021/crypto/Baby-Xor/baby_xor.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-12-19T11:06:24.000Z | 2021-12-19T11:06:24.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from flag import flag
def xor(u, v):
return ''.join(chr(ord(cu) ^ ord(cv)) for cu, cv in zip(u, v))
u = flag
v = flag[1:] + flag[0]
enc = open('flag.enc', 'w')
enc.write(xor(u, v))
enc.close()
| 16.6 | 63 | 0.566265 |
d3ea99aef59df6ec6a71fcf54891d7fb389883a5 | 4,535 | py | Python | src/onegov/activity/collections/invoice.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/activity/collections/invoice.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/activity/collections/invoice.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from cached_property import cached_property
from decimal import Decimal
from onegov.activity.models import Invoice, InvoiceItem
from onegov.activity.models.invoice import sync_invoice_items
from onegov.activity.models.invoice_reference import KNOWN_SCHEMAS
from onegov.core.collection import GenericCollection
from sqlal... | 31.93662 | 78 | 0.641235 |
315cdbbea44c4956115c49ff018010f51d4bb30b | 792 | py | Python | Sorting/algos/quick.py | CandleStein/VAlg | 43aecdd351954d316f132793cf069b70bf2e5cc2 | [
"MIT"
] | null | null | null | Sorting/algos/quick.py | CandleStein/VAlg | 43aecdd351954d316f132793cf069b70bf2e5cc2 | [
"MIT"
] | null | null | null | Sorting/algos/quick.py | CandleStein/VAlg | 43aecdd351954d316f132793cf069b70bf2e5cc2 | [
"MIT"
] | 1 | 2020-09-25T18:31:34.000Z | 2020-09-25T18:31:34.000Z | import numpy as np
import matplotlib.pyplot as plt
def partition(arr, start, end):
i = start - 1
pivot = arr[end]
for j in range(start, end):
if arr[j] <= pivot:
i += 1
arr[i], arr[j] = arr[j], arr[i]
arr[i + 1], arr[end] = arr[end], arr[i + 1]
return i + 1
def ... | 19.8 | 47 | 0.539141 |
732b7a19e55c3a7ccb7e0ecbd65ba6c2df1c3fef | 3,126 | py | Python | 7-assets/past-student-repos/LambdaSchool-master/m6/61c1/src/cityreader/test_cityreader.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/past-student-repos/LambdaSchool-master/m6/61c1/src/cityreader/test_cityreader.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 8 | 2020-03-24T17:47:23.000Z | 2022-03-12T00:33:21.000Z | cs/lambda_cs/01_intro_python/Sprint-Challenge--Intro-Python/src/cityreader/test_cityreader.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | import unittest
from cityreader import City, cityreader
def check_city(inp, exp):
if inp.name != exp.name:
return False
if inp.lat != exp.lat:
return False
if inp.lon != exp.lon:
return False
return True
class CityreaderTests(unittest.TestCase):
def setUp(self):
self.cities = c... | 36.776471 | 67 | 0.589571 |
734f3a7c44dd33cab18bd7fcc06d96f4401211f6 | 33,143 | py | Python | Packs/Cylance_Protect/Integrations/Cylance_Protect_v2/Cylance_Protect_v2_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 1 | 2021-11-02T05:36:38.000Z | 2021-11-02T05:36:38.000Z | Packs/Cylance_Protect/Integrations/Cylance_Protect_v2/Cylance_Protect_v2_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 61 | 2021-10-07T08:54:38.000Z | 2022-03-31T10:25:35.000Z | Packs/Cylance_Protect/Integrations/Cylance_Protect_v2/Cylance_Protect_v2_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | import json
import demistomock as demisto
from CommonServerPython import Common
from Cylance_Protect_v2 import create_dbot_score_entry, translate_score, FILE_THRESHOLD, \
get_device, get_device_by_hostname, update_device, get_device_threats, get_policies, create_zone, get_zones, \
get_zone, update_zone, get_th... | 41.480601 | 130 | 0.587183 |
c34213d4712f8dfa0c2ca06f2b1e3cdbe61c14f1 | 8,444 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/network/ingate/test_ig_config.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/network/ingate/test_ig_config.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/network/ingate/test_ig_config.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2018, Ingate Systems AB
#
# 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 opti... | 34.892562 | 90 | 0.51433 |
4899e3e5dadaac17eff4e866de93db0c5c709bb5 | 1,324 | py | Python | RedBook/ch2/download_image.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | RedBook/ch2/download_image.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | RedBook/ch2/download_image.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | import os
from http.client import HTTPConnection
from urllib.parse import urljoin, urlunparse
from urllib.request import urlretrieve
from html.parser import HTMLParser
class ImageParser(HTMLParser):
def handle_starttag(self, tag, attrs):
if tag != 'img':
return
if not hasattr(self, 'res... | 25.960784 | 55 | 0.614804 |
7da447c2e9b0662db9191675ef628b06a934d98e | 623 | py | Python | Python/Exercícios_Python/026_ocorrências_dentro_de_um_texto.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | Python/Exercícios_Python/026_ocorrências_dentro_de_um_texto.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | Python/Exercícios_Python/026_ocorrências_dentro_de_um_texto.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""026 - Ocorrências dentro de um texto
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1qCo1QhSuGv420DSHqq5TLVUnonJO84LK
"""
frase = str(input('Digite uma frase: ')).strip().lower().replace(' ',"").replace('ã','a').replace('á',... | 47.923077 | 140 | 0.680578 |
7de8ad701a8cd31a6c5415bac55a5d8f08e0568a | 1,525 | py | Python | kollektiv5gui/models/Dataset.py | MateRyze/InformatiCup-2019 | eeca3ff7f8a102f4093697c6badee21ce25e2e87 | [
"MIT"
] | 3 | 2019-03-21T17:02:55.000Z | 2019-04-04T18:16:10.000Z | kollektiv5gui/models/Dataset.py | MateRyze/InformatiCup-2019 | eeca3ff7f8a102f4093697c6badee21ce25e2e87 | [
"MIT"
] | 11 | 2019-10-30T12:05:39.000Z | 2022-03-11T23:43:54.000Z | kollektiv5gui/models/Dataset.py | MateRyze/InformatiCup-2019 | eeca3ff7f8a102f4093697c6badee21ce25e2e87 | [
"MIT"
] | 1 | 2019-10-30T12:04:00.000Z | 2019-10-30T12:04:00.000Z | import json
import os
from collections import namedtuple
class Dataset():
DatasetClass = namedtuple('DatasetClass', [
'id',
'name',
'thumbnailPath',
'known'
])
def __init__(self):
self.__classes = []
def getClasses(self):
return self.__classes
def... | 30.5 | 72 | 0.542295 |
8158fde567d1100c23d0cc5e9ec3e8f6e340fdf4 | 526 | py | Python | Webpage/arbeitsstunden/utils.py | ASV-Aachen/Website | bbfc02d71dde67fdf89a4b819b795a73435da7cf | [
"Apache-2.0"
] | null | null | null | Webpage/arbeitsstunden/utils.py | ASV-Aachen/Website | bbfc02d71dde67fdf89a4b819b795a73435da7cf | [
"Apache-2.0"
] | 46 | 2022-01-08T12:03:24.000Z | 2022-03-30T08:51:05.000Z | Webpage/arbeitsstunden/utils.py | ASV-Aachen/Website | bbfc02d71dde67fdf89a4b819b795a73435da7cf | [
"Apache-2.0"
] | null | null | null | import datetime
from django.shortcuts import redirect
from arbeitsstunden.models import Saison
SEASON_BEGIN_MONTH = 7 # Juli
def get_aktuelle_saison():
now = datetime.datetime.now()
year = now.year
month = now.month
season_year = year if month >= SEASON_BEGIN_MONTH else year - 1
saison = Saiso... | 23.909091 | 75 | 0.749049 |
c4ac3abdd8a76ebe3596d56e6af9a72e202548a6 | 8,193 | py | Python | official/cv/nasnet/eval.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/nasnet/eval.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/nasnet/eval.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2020-2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 40.965 | 103 | 0.633712 |
f20611720c9b83566abcd90b290faaf19403e772 | 169,445 | py | Python | Jadwal-Sholat-main/jadwal-sholat.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | Jadwal-Sholat-main/jadwal-sholat.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | Jadwal-Sholat-main/jadwal-sholat.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | # coding=utf-8
# Obfuscate BY Aldi Bachtiar Rifa
Aldi=['00000000000000000000000000000000000', '000000000000000000000000000000000', '00000000000000000000000000000000000000000000000', '000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000', '000000000000000... | 24,206.428571 | 169,340 | 0.956954 |
6ff513697fbb9c6bf0054be3aa4e96348252dcea | 138 | py | Python | src/onegov/quill/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/quill/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/quill/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.quill.fields import QuillField
from onegov.quill.integration import QuillApp
__all__ = [
'QuillApp',
'QuillField'
]
| 15.333333 | 45 | 0.73913 |
82fcf6824963ae9e885394aabf590fdc552a2a27 | 486 | py | Python | verto/errors/PanelMissingTitleError.py | uccser/verto | d36aa88b208f1700fafc033679bd1e9775496d25 | [
"MIT"
] | 4 | 2017-04-10T06:09:54.000Z | 2019-05-04T02:07:40.000Z | verto/errors/PanelMissingTitleError.py | uccser/verto | d36aa88b208f1700fafc033679bd1e9775496d25 | [
"MIT"
] | 268 | 2017-04-03T20:40:46.000Z | 2022-02-04T20:10:08.000Z | verto/errors/PanelMissingTitleError.py | uccser/kordac | d36aa88b208f1700fafc033679bd1e9775496d25 | [
"MIT"
] | 1 | 2019-01-07T15:46:31.000Z | 2019-01-07T15:46:31.000Z | from verto.errors.Error import Error
class PanelMissingTitleError(Error):
'''Exception raised when a panel is missing a title.
Attributes:
tag: tag which was not matched
block: block where tag was not matched
argument: the argument that was not found
'''
def __init__(self, ta... | 27 | 56 | 0.654321 |
d22b3575d6952511b6653a86c94813499586ce8c | 1,921 | py | Python | 4_DeepLearning-Advanced/Verbesserung der Netzwerke/TaxiFahrten/Taxi_DNN.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 4_DeepLearning-Advanced/Verbesserung der Netzwerke/TaxiFahrten/Taxi_DNN.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 4_DeepLearning-Advanced/Verbesserung der Netzwerke/TaxiFahrten/Taxi_DNN.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | import os
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow.keras.datasets import boston_housing
from tensorflow.keras.layers import *
from tensorflow.keras.activations import *
from tensorflow.keras.models import *
from tensorflow.keras.optimizers impor... | 29.553846 | 91 | 0.760021 |
d272c3503f1d7ffa46b3ba910955f08358282a70 | 427 | py | Python | exercises/fr/exc_03_09_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/exc_03_09_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/exc_03_09_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | import spacy
from spacy.tokens import Token
nlp = spacy.blank("fr")
# Déclare l'extension d'attribut de Token "is_country"
# avec la valeur par défaut False
____.____(____, ____=____)
# Traite le texte et définis l'attribut is_country à True pour le token "Suisse"
doc = nlp("J'habite en Suisse.")
____ = True
# Affi... | 26.6875 | 80 | 0.744731 |
962af0fc206b4ab256790c114cf8eeeffab23b86 | 1,252 | py | Python | oneflow/python/framework/python_interpreter_util.py | caishenghang/oneflow | db239cc9f98e551823bf6ce2d4395bd5c339b1c5 | [
"Apache-2.0"
] | 2 | 2021-09-10T00:19:49.000Z | 2021-11-16T11:27:20.000Z | oneflow/python/framework/python_interpreter_util.py | duijiudanggecl/oneflow | d2096ae14cf847509394a3b717021e2bd1d72f62 | [
"Apache-2.0"
] | null | null | null | oneflow/python/framework/python_interpreter_util.py | duijiudanggecl/oneflow | d2096ae14cf847509394a3b717021e2bd1d72f62 | [
"Apache-2.0"
] | 1 | 2021-11-10T07:57:01.000Z | 2021-11-10T07:57:01.000Z | """
Copyright 2020 The OneFlow 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 applicable law or agr... | 31.3 | 73 | 0.761981 |
73bc10c10f1f7512c5c592efef7ee4174edf423c | 1,480 | py | Python | source/pkgsrc/finance/electrum/patches/patch-electrum-ecc_fast.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/finance/electrum/patches/patch-electrum-ecc_fast.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/finance/electrum/patches/patch-electrum-ecc_fast.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-electrum-ecc_fast.py,v 1.1 2020/11/04 20:45:46 js Exp $
Don't assume libsecp256k1 is in site-packages/electrum.
--- electrum/ecc_fast.py.orig 2000-11-11 11:11:11.000000000 +0000
+++ electrum/ecc_fast.py
@@ -9,6 +9,7 @@ from ctypes import (
byref, c_byte, c_int, c_uint, c_char_p, c_size_t, c_void_p... | 42.285714 | 100 | 0.645946 |
73c35230a171b668d2129a8cfd747253947d809a | 337 | py | Python | Licence 1/I11/TP3/tp3_3_3.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 8 | 2020-11-26T20:45:12.000Z | 2021-11-29T15:46:22.000Z | Licence 1/I11/TP3/tp3_3_3.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | null | null | null | Licence 1/I11/TP3/tp3_3_3.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 6 | 2020-10-23T15:29:24.000Z | 2021-05-05T19:10:45.000Z | n_text = input("entrez une chaine de caracteres : ")
isPalindromic = n_text[0] == n_text[len(n_text) - 1]
i, j = 0, len(n_text)- 1
while i < j and isPalindromic:
if n_text[i] == " ": i += 1
elif n_text[j] == " ": j -= 1
else:
isPalindromic = n_text[i] == n_text[j]
i, j = i + 1, j - 1
prin... | 24.071429 | 52 | 0.560831 |
fbcf274ef74c6cecfa4f64389ff041c711164a1a | 3,042 | py | Python | tensorforce/contrib/maze_explorer.py | gian1312/suchen | df863140fd8df1ac2e195cbdfa4756f09f962270 | [
"Apache-2.0"
] | null | null | null | tensorforce/contrib/maze_explorer.py | gian1312/suchen | df863140fd8df1ac2e195cbdfa4756f09f962270 | [
"Apache-2.0"
] | null | null | null | tensorforce/contrib/maze_explorer.py | gian1312/suchen | df863140fd8df1ac2e195cbdfa4756f09f962270 | [
"Apache-2.0"
] | 1 | 2019-11-29T12:28:33.000Z | 2019-11-29T12:28:33.000Z | # Copyright 2017 reinforce.io. 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 applicable law or... | 36.214286 | 110 | 0.679487 |
541e2860e74dd53b84b7760ae79b5c6aa627e2a8 | 4,514 | py | Python | chillow/view/graphical_view.py | jonashellmann/informaticup21-team-chillow | f2e519af0a5d9a9368d62556703cfb1066ebb58f | [
"MIT"
] | 3 | 2021-01-17T23:32:07.000Z | 2022-01-30T14:49:16.000Z | chillow/view/graphical_view.py | jonashellmann/informaticup21-team-chillow | f2e519af0a5d9a9368d62556703cfb1066ebb58f | [
"MIT"
] | 2 | 2021-01-17T13:37:56.000Z | 2021-04-14T12:28:49.000Z | chillow/view/graphical_view.py | jonashellmann/informaticup21-team-chillow | f2e519af0a5d9a9368d62556703cfb1066ebb58f | [
"MIT"
] | 2 | 2021-04-02T14:53:38.000Z | 2021-04-20T11:10:17.000Z | import sys
import time
from chillow.model.action import Action
from chillow.model.cell import Cell
from chillow.model.game import Game
from chillow.view.view import View
class GraphicalView(View):
"""Provides a graphical UI using PyGame."""
RECT_SIZE = 10
CLOCK_TICK = 60
def __init__(self, pygame):... | 42.186916 | 112 | 0.512406 |
58936f086c1dbf2d659e997e3f82cb47e9aed6dc | 1,260 | py | Python | notebooks/utils.py | ZiningZhu/InfoProbe | 0bf241356c5bfcfc4760a195eecf7c80f75379aa | [
"MIT"
] | 1 | 2021-02-06T01:52:00.000Z | 2021-02-06T01:52:00.000Z | notebooks/utils.py | SPOClab-ca/InfoProbe | 0bf241356c5bfcfc4760a195eecf7c80f75379aa | [
"MIT"
] | null | null | null | notebooks/utils.py | SPOClab-ca/InfoProbe | 0bf241356c5bfcfc4760a195eecf7c80f75379aa | [
"MIT"
] | null | null | null | from functools import wraps
import os, time, sys
import pandas as pd
import numpy as np
def timed_func(foo):
def wrapper(*args, **kwargs):
start_time = time.time()
results = foo(*args, **kwargs)
print ("{} done in {:.2f} seconds.".format(foo.__name__, time.time() - start_time))
ret... | 28 | 91 | 0.597619 |
547f386d44701a0d552d334114644cd05cb3f3a6 | 968 | py | Python | save-post-master/save-post.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | save-post-master/save-post.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | save-post-master/save-post.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | import argparse
import re
import sys
import requests
def fetchDP(username):
url = "https://www.instagram.com/{}/?__a=1".format(username)
r = requests.get(url)
if r.ok:
data = r.json()
return data['graphql']['user']['profile_pic_url_hd']
else:
print("\033[1;31m✘ Cannot find ... | 21.043478 | 99 | 0.610537 |
4d4d4d6a63058fea171f52ad08311606bb981a2b | 3,026 | py | Python | Simplification/Grid_Creation.py | Klark007/Selbstfahrendes-Auto-im-Modell | d7fe81392de2b29b7dbc7c9d929fa0031b89900b | [
"MIT"
] | null | null | null | Simplification/Grid_Creation.py | Klark007/Selbstfahrendes-Auto-im-Modell | d7fe81392de2b29b7dbc7c9d929fa0031b89900b | [
"MIT"
] | null | null | null | Simplification/Grid_Creation.py | Klark007/Selbstfahrendes-Auto-im-Modell | d7fe81392de2b29b7dbc7c9d929fa0031b89900b | [
"MIT"
] | null | null | null | """
converts the data gathered by the image recognition to a 2d numpy array
representing the image. The array contains integers:
0: free space
1: block
2: car
"""
import numpy as np
import U_Generate_Image as generate_image
class GridThresholding:
def __init__(self, img_shape, car, rectangles,... | 33.622222 | 104 | 0.596827 |
db00981f448bcb223e6d370019896f6cdee208b4 | 6,082 | py | Python | Packs/Lokpath_Keylight/Integrations/Lockpath_KeyLight_v2/Lockpath_KeyLight_v2_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Lokpath_Keylight/Integrations/Lockpath_KeyLight_v2/Lockpath_KeyLight_v2_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Lokpath_Keylight/Integrations/Lockpath_KeyLight_v2/Lockpath_KeyLight_v2_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import pytest
import demistomock as demisto
import time
def test_filter_creator():
from Lockpath_KeyLight_v2 import create_filter
filt = create_filter('Starts With', 'Blue', '3881')
check = {
"FieldPath": [
3881
],
"FilterType": "3",
"Value": "Blue"
}
a... | 39.23871 | 109 | 0.552779 |
97dfdd88af089923e6e8533a26658b5aef0af43d | 4,138 | py | Python | KnowledgeQuizTool/MillionHeroAssistant/main.py | JianmingXia/StudyTest | 66d688ad41bbce619f44359ea126ff07a923f97b | [
"MIT"
] | null | null | null | KnowledgeQuizTool/MillionHeroAssistant/main.py | JianmingXia/StudyTest | 66d688ad41bbce619f44359ea126ff07a923f97b | [
"MIT"
] | 68 | 2020-09-05T04:22:49.000Z | 2022-03-25T18:47:08.000Z | KnowledgeQuizTool/MillionHeroAssistant/main.py | JianmingXia/StudyTest | 66d688ad41bbce619f44359ea126ff07a923f97b | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
"""
Xi Gua video Million Heroes
"""
import time
from argparse import ArgumentParser
import operator
from functools import partial
from terminaltables import SingleTable
from config import api_version
from config import app_id
from config import app_key
from config import app_secret
from... | 26.189873 | 93 | 0.607298 |
58b8e305c91bd6009d1804d17937ea188b9aed82 | 1,781 | py | Python | content/labs/lab10/solutions/bo2.py | tteenathankachan/2021-CS109A | 9349749539f439deff280ceb25621fc61a337253 | [
"MIT"
] | 19 | 2021-08-29T21:23:48.000Z | 2022-03-16T14:38:25.000Z | content/labs/lab10/solutions/bo2.py | SBalas/2021-CS109A | 0f57c3d80b7cef99d660f6a77c0166cffc1253e8 | [
"MIT"
] | null | null | null | content/labs/lab10/solutions/bo2.py | SBalas/2021-CS109A | 0f57c3d80b7cef99d660f6a77c0166cffc1253e8 | [
"MIT"
] | 22 | 2021-09-01T13:03:05.000Z | 2022-03-31T14:34:36.000Z | from tqdm.notebook import trange
#logarithmic values:
exp_powers = list(range(-6,1))
exp_vals = list(np.exp(exp_powers))
#Find Optimal Learning Rate for Ada-Boosting
staged_train_scores, staged_test_scores = {}, {}
score_train, score_test = {}, {}
for i in trange(len(exp_vals)):
model = AdaBoostClassifier(
... | 33.603774 | 88 | 0.697361 |
58e828199845f0d457098c90af787591f6fdd0b7 | 722 | py | Python | Backend/ElastiCleaner/ElastiCleaner.py | BackInBash/ZeroToHero | 36d5ba91e52c1167cac9c34e4e26789ebf20ca5d | [
"MIT"
] | null | null | null | Backend/ElastiCleaner/ElastiCleaner.py | BackInBash/ZeroToHero | 36d5ba91e52c1167cac9c34e4e26789ebf20ca5d | [
"MIT"
] | null | null | null | Backend/ElastiCleaner/ElastiCleaner.py | BackInBash/ZeroToHero | 36d5ba91e52c1167cac9c34e4e26789ebf20ca5d | [
"MIT"
] | null | null | null | #!/usr/bin/python
import json, requests, subprocess
ELASTICSEARCH="http://localhost:9200/_cat/indices?format=json&pretty&s=index:asc"
def Cleanup():
# Request data from link as 'str'
data = requests.get(ELASTICSEARCH).text
# convert 'str' to Json
data = json.loads(data)
for i in data:
if(i['index'].startswi... | 25.785714 | 81 | 0.65374 |
e178e4a4f904ac97f65b1ca5c0fd9554c94379a4 | 6,095 | py | Python | web/src/nodemgr.py | liukai0322/docklet | 9e4d1f4fc2e523423b0e94406242a29b20643788 | [
"BSD-3-Clause"
] | 1 | 2016-05-31T06:52:53.000Z | 2016-05-31T06:52:53.000Z | web/src/nodemgr.py | liukai0322/docklet | 9e4d1f4fc2e523423b0e94406242a29b20643788 | [
"BSD-3-Clause"
] | null | null | null | web/src/nodemgr.py | liukai0322/docklet | 9e4d1f4fc2e523423b0e94406242a29b20643788 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python3
import threading, random, time, xmlrpc.client, sys
import network
from log import logger
import env
##########################################
# NodeMgr
# Description : manage the physical nodes
# 1. list running nodes now
# 2. update node list when new no... | 42.922535 | 101 | 0.516325 |
8318faefa6371c2ed713927cccfd1fe6a18df13a | 4,523 | py | Python | test/test_npu/test_network_ops/test_smooth_l1_loss_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_network_ops/test_smooth_l1_loss_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_network_ops/test_smooth_l1_loss_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Huawei Technologies.All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law... | 46.153061 | 92 | 0.624143 |
36c12b26393d08a02a84d0135f4dc7461bfd2984 | 1,903 | py | Python | old_blog_posts.py | karrot-dev/yunity.org | a71d13e39979f21c3b90bd3c9ebc16a85ee98aa4 | [
"MIT"
] | 2 | 2017-05-10T13:23:16.000Z | 2018-07-14T09:59:33.000Z | old_blog_posts.py | karrot-dev/yunity.org | a71d13e39979f21c3b90bd3c9ebc16a85ee98aa4 | [
"MIT"
] | 23 | 2017-04-27T10:29:19.000Z | 2018-07-05T16:53:03.000Z | old_blog_posts.py | karrot-dev/yunity.org | a71d13e39979f21c3b90bd3c9ebc16a85ee98aa4 | [
"MIT"
] | 6 | 2017-08-07T14:40:29.000Z | 2021-04-25T05:03:55.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
A quick & dirty script to convert the OctoberCMS blog posts from a CSV export
Needs to download the images from the live page
"""
import os
import requests
import shutil
from bs4 import BeautifulSoup
import subprocess
import re
def create_post(row):
# ID,Title,C... | 26.068493 | 115 | 0.589595 |
7febf05cf15232b136db022da2d49259be91fb50 | 241 | py | Python | exercises/es/solution_04_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/es/solution_04_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/es/solution_04_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
#Crea un modelo "es" en blanco
nlp = spacy.blank("es")
# Crea un nuevo entity recognizer y añádelo al pipeline
ner = nlp.create_pipe("ner")
nlp.add_pipe(ner)
# Añade el label "ROPA" al entity recognizer
ner.add_label("ROPA")
| 20.083333 | 55 | 0.73444 |
3d0c8d7c0e4611d02cdcaec688aa5dd40703e783 | 3,627 | py | Python | etl/event-server/event-sqs-server.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 6 | 2018-06-27T00:09:55.000Z | 2019-03-07T14:06:53.000Z | etl/event-server/event-sqs-server.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2021-03-31T18:37:46.000Z | 2021-06-01T21:49:41.000Z | etl/event-server/event-sqs-server.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2020-01-24T16:40:49.000Z | 2021-09-30T02:28:55.000Z | import os
import sys
import json
import asyncio
import asyncpg
import logging
import traceback
import aiobotocore
import botocore.exceptions
import etllib
import event
QUEUE_NAME = os.environ['queue_name']
log_consumer = os.environ['log_consumer'] == 'true' if 'log_consumer' in os.environ else False
terminated = Fal... | 26.093525 | 125 | 0.692308 |
43e9dcafa2b3459732b9e72dd9e87ef8473c83de | 441 | py | Python | PYTHON/Collections/collections_namedtuple.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | PYTHON/Collections/collections_namedtuple.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | PYTHON/Collections/collections_namedtuple.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
from collections import namedtuple
if __name__ == '__main__':
N = int(input())
category = input().split()
for i, c in enumerate(category):
if c == 'MARKS':
idx_marks = i
# print('->>>', idx_marks)
infos = []
for _ in range(N):
info ... | 24.5 | 44 | 0.553288 |
a181ba705e36d4662aa3e35108361d87a22ab5e1 | 4,042 | py | Python | bar.py | tainanpopo/ProgressBar-test | 46100ea1ada5722425eb8a8ba4fb97362e8cb1b1 | [
"MIT"
] | null | null | null | bar.py | tainanpopo/ProgressBar-test | 46100ea1ada5722425eb8a8ba4fb97362e8cb1b1 | [
"MIT"
] | null | null | null | bar.py | tainanpopo/ProgressBar-test | 46100ea1ada5722425eb8a8ba4fb97362e8cb1b1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'bar.ui'
#
# Created by: PyQt5 UI code generator 5.10.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.... | 48.119048 | 75 | 0.689015 |
9ac733b3fd765f983b9f53217c8c64a6dbd4077d | 6,393 | py | Python | python_gui_tkinter/Tkinter/TkinterCourse/color_master.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python_gui_tkinter/Tkinter/TkinterCourse/color_master.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python_gui_tkinter/Tkinter/TkinterCourse/color_master.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | from tkinter import *
from tkinter.messagebox import *
import random
from combinatorics import all_colours
def inconsistent(p, guesses):
""" the function checks, if a permutation p, i.e. a list of
colours like p = ['pink', 'yellow', 'green', 'red'] is consistent
with the previous colours. Each previous colour per... | 33.647368 | 82 | 0.634913 |
9af76f9fafa3d71b726fa56f458f013540482e81 | 1,737 | py | Python | SoSe-21/Uebung-4/A4-Taschenrechner-advanced.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | 1 | 2022-03-23T09:40:39.000Z | 2022-03-23T09:40:39.000Z | SoSe-21/Uebung-4/A4-Taschenrechner-advanced.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | SoSe-21/Uebung-4/A4-Taschenrechner-advanced.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | # Aufgabe 4 - Übung 4
#
# Implementieren Sie einen einfachen Taschenrechner mit den Grundrechenoperationen (+- */).
# Sollten Sie bei der Grundrechenoperation ein q eingeben, dann endet das Programm.
# Bei allen anderen Grundrechenoperationen wird eine Fehlermeldung ausgegeben.
# Erste Eingabe einer Zahl
gueltige_ers... | 40.395349 | 91 | 0.697755 |
b1931a1a1f7d977333b8468820e55ca9d438291a | 1,068 | py | Python | readpipe.py | stefankugler/print-qrk-json | 955dfd5460137d70e385981439dd9dab4d3a0bd7 | [
"MIT"
] | 2 | 2018-03-02T14:56:53.000Z | 2020-03-24T07:58:53.000Z | readpipe.py | stefankugler/print-qrk-json | 955dfd5460137d70e385981439dd9dab4d3a0bd7 | [
"MIT"
] | 1 | 2017-06-30T10:13:17.000Z | 2017-10-01T17:47:31.000Z | readpipe.py | stefankugler/print-qrk-json | 955dfd5460137d70e385981439dd9dab4d3a0bd7 | [
"MIT"
] | null | null | null | import os
import time
import re
FIFO = '/opt/chromis.pipe'
while True:
print("Opening FIFO...")
filename = time.strftime("%Y%m%d-%H%M%S")
outfile = open('/opt/json/' + filename + '.txt','w')
with open(FIFO) as fifo:
print("FIFO opened")
while True:
data = fifo.read()
... | 33.375 | 112 | 0.472846 |
b1ac91fa4ab28ae537d56da8bea47da9b00fa392 | 1,422 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/doc_fragments/opennebula.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | 17 | 2017-06-07T23:15:01.000Z | 2021-08-30T14:32:36.000Z | ansible/ansible/plugins/doc_fragments/opennebula.py | SergeyCherepanov/ansible | 875711cd2fd6b783c812241c2ed7a954bf6f670f | [
"MIT"
] | 9 | 2017-06-25T03:31:52.000Z | 2021-05-17T23:43:12.000Z | ansible/ansible/plugins/doc_fragments/opennebula.py | SergeyCherepanov/ansible | 875711cd2fd6b783c812241c2ed7a954bf6f670f | [
"MIT"
] | 3 | 2018-05-26T21:31:22.000Z | 2019-09-28T17:00:45.000Z | # -*- coding: utf-8 -*-
# Copyright: (c) 2018, www.privaz.io Valletech AB
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
class ModuleDocFragment(object):
# OpenNebula common documentation
DOCUMENTATION = r'''
options:
api_url:
description:
... | 33.857143 | 104 | 0.623769 |
497e49b0aaa758ba875648872bdd95f6d998f745 | 115 | py | Python | python/coursera_python/TORONTO/test/3.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/coursera_python/TORONTO/test/3.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/coursera_python/TORONTO/test/3.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | def mystery(s):
i = 0
result = ''
while not s[i].isdigit():
result = result + s[i]
i = i + 1
return result
| 14.375 | 26 | 0.565217 |
499db1882aa9e3a4940b663450addaf27b71eaae | 565,105 | py | Python | Decrypt-main/Contoh.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | Decrypt-main/Contoh.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | Decrypt-main/Contoh.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | # ECRYPT BY Boy HamzaH
# Subscribe Cok Chanel YouTube Gua Anjing
# Dan Jangan Lupa Follow Github Gua
exec(eval((lambda ____,__,_ : ____.join([_(___) for ___ in __]))('',[95, 95, 105, 109, 112, 111, 114, 116, 95, 95, 40, 39, 109, 97, 114, 115, 104, 97, 108, 39, 41, 46, 108, 111, 97, 100, 115],chr))(eval((lambda ____,__,... | 141,276.25 | 565,004 | 0.966861 |
02a7829ade0f8be96a44d53b06c94ff952f71805 | 546 | py | Python | exercises/pt/test_02_05_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/pt/test_02_05_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/pt/test_02_05_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | def test():
assert (
"from spacy.tokens import Doc" in __solution__
), "Você fez a importação da classe Doc corretamente?"
assert (
len(spaces) == 5
), "Parece que o número de espaços não coincide com o número de palavras..."
assert all(isinstance(s, bool) for s in spaces), "Os espaç... | 45.5 | 91 | 0.642857 |
b87fdac9b7d0d126b9322cd60bdd4900975dfe71 | 6,044 | py | Python | scripts/dim-reduction/nasalcoda-pca-lda.py | jenniferxkuo/ultramisc | 65bff53c97715eb9a24acc62b77460f22e0dabc6 | [
"MIT"
] | null | null | null | scripts/dim-reduction/nasalcoda-pca-lda.py | jenniferxkuo/ultramisc | 65bff53c97715eb9a24acc62b77460f22e0dabc6 | [
"MIT"
] | null | null | null | scripts/dim-reduction/nasalcoda-pca-lda.py | jenniferxkuo/ultramisc | 65bff53c97715eb9a24acc62b77460f22e0dabc6 | [
"MIT"
] | null | null | null | import os, sys, glob, re
import argparse
import numpy as np
import pandas as pd
from hashlib import sha1
from sklearn.decomposition import PCA
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as LDA
import matplotlib.pyplot as plt
from imgphon.imgphon.ultrasound import reconstruct_frame
... | 39.246753 | 97 | 0.678855 |
a75880bf6e855efe589b9d54ee5a271789755db7 | 320 | py | Python | tests/utils/hub_utils_test.py | groadabike/asteroid | 276d98346ab791d904fbfe79b9b8e374392dd128 | [
"MIT"
] | 3 | 2020-09-30T02:32:08.000Z | 2021-02-05T04:48:01.000Z | tests/utils/hub_utils_test.py | groadabike/asteroid | 276d98346ab791d904fbfe79b9b8e374392dd128 | [
"MIT"
] | 1 | 2020-09-17T08:55:12.000Z | 2020-09-17T08:55:12.000Z | tests/utils/hub_utils_test.py | groadabike/asteroid | 276d98346ab791d904fbfe79b9b8e374392dd128 | [
"MIT"
] | 1 | 2021-02-05T04:48:05.000Z | 2021-02-05T04:48:05.000Z | import os
from asteroid.utils import hub_utils
def test_download():
# We download
path1 = hub_utils.cached_download("mpariente/ConvTasNet_WHAM!_sepclean")
assert os.path.isfile(path1)
# We use cache
path2 = hub_utils.cached_download("mpariente/ConvTasNet_WHAM!_sepclean")
assert path1 == path2
| 26.666667 | 76 | 0.746875 |
a78f079d45dea6fbd99035f4ed13705c858f414f | 504 | py | Python | exercises/en/test_02_14.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/en/test_02_14.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/en/test_02_14.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | def test():
assert (
"from spacy.matcher import PhraseMatcher" in __solution__
), "Did you import the PhraseMatcher correctly?"
assert (
"PhraseMatcher(nlp.vocab)" in __solution__
), "Did you initialize the PhraseMatcher correctly?"
assert "matcher(doc)" in __solution__, "Did you cal... | 45.818182 | 82 | 0.69246 |
ce32b1ec5d4435bf3cef04b8073e531a01543ffd | 1,043 | py | Python | tests/onegov/election_day/layouts/test_detail_layout.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/election_day/layouts/test_detail_layout.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/election_day/layouts/test_detail_layout.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from textwrap import dedent
from onegov.ballot import ElectionCompound, Election, Vote
from onegov.election_day.layouts.detail import DetailLayout
from onegov.election_day.models import Principal
from tests.onegov.election_day.common import DummyRequest
def test_hidden_tabs_mixin():
principal = Principal.from_ya... | 28.972222 | 59 | 0.596357 |
ce7e520eb64fa2d1750332afa13cf2e10829fc3d | 5,862 | py | Python | cloud/global/lambda/behavior-monitor/log_extractor.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 6 | 2018-06-27T00:09:55.000Z | 2019-03-07T14:06:53.000Z | cloud/global/lambda/behavior-monitor/log_extractor.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2021-03-31T18:37:46.000Z | 2021-06-01T21:49:41.000Z | cloud/global/lambda/behavior-monitor/log_extractor.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2020-01-24T16:40:49.000Z | 2021-09-30T02:28:55.000Z | import os
import sys
import base64
import datetime
import logging
import json
import random
import time
import traceback
import urllib.parse
import zlib
import sqlalchemy
from sqlalchemy.sql import text
logger = logging.getLogger()
logger.setLevel(logging.INFO)
# Configuration.
extract_log_entry = os.environ['EXTRAC... | 38.565789 | 151 | 0.650461 |
0c76151c527d54395635d00873ead12d6638d02e | 690 | py | Python | software/supervisor/threadtest.py | ghsecuritylab/project-powerline | 6c0ec13bbfc11c3790c506f644db4fe45021440a | [
"MIT"
] | null | null | null | software/supervisor/threadtest.py | ghsecuritylab/project-powerline | 6c0ec13bbfc11c3790c506f644db4fe45021440a | [
"MIT"
] | null | null | null | software/supervisor/threadtest.py | ghsecuritylab/project-powerline | 6c0ec13bbfc11c3790c506f644db4fe45021440a | [
"MIT"
] | 1 | 2020-03-08T01:50:58.000Z | 2020-03-08T01:50:58.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import threading
import atexit
import logging
class powerline_prototype(threading.Thread):
def __init__(self, dbScoped, semCtrl, semNext):
super(powerline_prototype, self).__init__(name='prototype')
self.log = logging.getLogger("MasterLog")
s... | 25.555556 | 67 | 0.628986 |
0c9c5d97bd5f19c32fa5561a277068a643729260 | 432 | py | Python | Packs/ApiModules/Scripts/AnsibleApiModule/TestsInput/ansible_inventory.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/ApiModules/Scripts/AnsibleApiModule/TestsInput/ansible_inventory.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/ApiModules/Scripts/AnsibleApiModule/TestsInput/ansible_inventory.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | ANSIBLE_INVENTORY_HOSTS_LIST = {'host': ['123.123.123.123', 'example-host1', 'host.example.com']}
ANSIBLE_INVENTORY_HOSTS_CSV_LIST = {'host': "123.123.123.123, host.example.com"}
ANSIBLE_INVENTORY_HOST_w_PORT = {'host': "123.123.123.123:45678"}
ANSIBLE_INVENTORY_INT_PARAMS = {'port': 22, 'creds': {'credentials': {
... | 72 | 115 | 0.699074 |
0ba0b29e81c9e38b9a48769201872d09f9386cf7 | 322 | py | Python | 3DNet/util/file_process.py | BhaveshJP25/RSNA | 48d85faf82651b1ae4fdcd829ce2d4978a858d3f | [
"MIT"
] | 1,451 | 2019-07-17T07:45:51.000Z | 2022-03-31T16:44:59.000Z | utils/file_process.py | cshwhale/MedicalNet | 765fd404e313efa1ee285c6f149fabc46bc6a287 | [
"MIT"
] | 66 | 2019-07-19T17:43:59.000Z | 2022-03-25T08:16:23.000Z | utils/file_process.py | cshwhale/MedicalNet | 765fd404e313efa1ee285c6f149fabc46bc6a287 | [
"MIT"
] | 395 | 2019-07-17T08:05:33.000Z | 2022-03-30T14:32:05.000Z | #!/usr/bin/env python
# coding: utf-8
import os
import os.path as osp
def load_lines(file_path):
"""Read file into a list of lines.
Input
file_path: file path
Output
lines: an array of lines
"""
with open(file_path, 'r') as fio:
lines = fio.read().splitlines()
return line... | 16.947368 | 39 | 0.618012 |
e7f49bdbc873bdb2efbf4f07d154c2bf17afa5ad | 2,045 | py | Python | model/topoml_util/LoggerCallback.py | Empythy/geometry-learning | 5300d421ef848c2748a2ba41ced5c6e2fba93200 | [
"MIT"
] | 21 | 2018-10-09T08:15:29.000Z | 2022-03-16T08:23:08.000Z | model/topoml_util/LoggerCallback.py | reinvantveer/Topology-Learning | 5300d421ef848c2748a2ba41ced5c6e2fba93200 | [
"MIT"
] | 31 | 2017-09-20T13:30:37.000Z | 2018-03-01T13:24:58.000Z | model/topoml_util/LoggerCallback.py | reinvantveer/Topology-Learning | 5300d421ef848c2748a2ba41ced5c6e2fba93200 | [
"MIT"
] | 7 | 2018-11-29T11:39:02.000Z | 2022-01-12T07:10:26.000Z | import pprint
from keras.callbacks import Callback
import random
from datetime import datetime
import numpy as np
pp = pprint.PrettyPrinter()
class EpochLogger(Callback):
def __init__(self, input_func=None, target_func=None, predict_func=None, aggregate_func=None, sample_size=3,
stdout=False, in... | 39.326923 | 112 | 0.646944 |
b2feb20c0a65b39595496ac92d4b5af375efad04 | 3,224 | py | Python | haas_lib_bundles/python/docs/examples/fall_detection/esp32/code/main.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | haas_lib_bundles/python/docs/examples/fall_detection/esp32/code/main.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | haas_lib_bundles/python/docs/examples/fall_detection/esp32/code/main.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | import utime # 延时函数在utime
from driver import I2C # 驱动库
import mpu6886
import network # Wi-Fi功能所在库
import ujson # json字串解析库
from aliyunIoT import Device # iot组件是连接阿里云物联网平台的组件
import fall_detection
i2cObj = None
mpu6886Dev = None
# 物联网平台连接标志位
iot_connected = Fal... | 24.610687 | 75 | 0.623139 |
6520075aeaf62f214222e13482d242f27d16dff0 | 6,523 | py | Python | src/pfun/maybe.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 126 | 2019-09-16T15:28:20.000Z | 2022-03-20T10:57:53.000Z | src/pfun/maybe.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 54 | 2019-09-30T08:44:01.000Z | 2022-03-20T11:10:00.000Z | src/pfun/maybe.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 11 | 2020-01-02T08:32:46.000Z | 2022-03-20T11:10:24.000Z | from abc import ABC
from functools import wraps
from typing import (Any, Callable, Generic, Iterable, Optional, Sequence,
TypeVar, Union, cast)
from typing_extensions import Literal
from .either import Either, Left
from .functions import curry
from .immutable import Immutable
from .list import Lis... | 23.379928 | 74 | 0.565077 |
686c3adff2e57742826d8ca954968f299b354635 | 493 | py | Python | aoc2020/day_15/part_1.py | en0/aoc2020 | a2f41b909dffe1f366682b3d03fd5fbdbc924ec0 | [
"MIT"
] | null | null | null | aoc2020/day_15/part_1.py | en0/aoc2020 | a2f41b909dffe1f366682b3d03fd5fbdbc924ec0 | [
"MIT"
] | null | null | null | aoc2020/day_15/part_1.py | en0/aoc2020 | a2f41b909dffe1f366682b3d03fd5fbdbc924ec0 | [
"MIT"
] | null | null | null | from aoc2020 import *
class Solution(SolutionABC):
expected = 436
def solve(self) -> any:
return self.spoken_at(2020)
def spoken_at(self, t):
i, i_map = 0, {}
for val in self.resource_lines("input", int):
i += 1
i_map[val] = i
said = val
de... | 22.409091 | 57 | 0.496957 |
68b66b808f4f80c6462119fdcc70ad3273e3a7de | 1,985 | py | Python | hotspot/code/KPIPredict.py | FudanYuan/faultLocalization | 5133ee5af48f7d4c8ba05ef9a545139a38f417da | [
"Apache-2.0"
] | 13 | 2019-03-13T06:07:18.000Z | 2022-02-22T03:34:35.000Z | hotspot/code/KPIPredict.py | FudanYuan/faultLocalization | 5133ee5af48f7d4c8ba05ef9a545139a38f417da | [
"Apache-2.0"
] | null | null | null | hotspot/code/KPIPredict.py | FudanYuan/faultLocalization | 5133ee5af48f7d4c8ba05ef9a545139a38f417da | [
"Apache-2.0"
] | 4 | 2019-03-13T06:07:32.000Z | 2019-06-11T11:35:52.000Z | # coding: utf-8
import pandas as pd
import numpy as np
import time
import math
from tqdm import tqdm
import matplotlib.pyplot as plt
from package.utils import KPIPoint
from package.utils import KPISet
# 可视化
def visualize(ts1, ts2):
plt.figure(figsize=(80, 10))
# 真实值
plt.subplot(211)
plt.xlabel('times... | 28.357143 | 116 | 0.657935 |
50289135328557dfa0888d26618d070d01b9994d | 425 | py | Python | diversos/arquivos.py | lcarlin/guppe | a0ee7b85e8687e8fb8243fbb509119a94bc6460f | [
"Apache-2.0"
] | 1 | 2021-12-18T15:29:24.000Z | 2021-12-18T15:29:24.000Z | diversos/arquivos.py | lcarlin/guppe | a0ee7b85e8687e8fb8243fbb509119a94bc6460f | [
"Apache-2.0"
] | null | null | null | diversos/arquivos.py | lcarlin/guppe | a0ee7b85e8687e8fb8243fbb509119a94bc6460f | [
"Apache-2.0"
] | 3 | 2021-08-23T22:45:20.000Z | 2022-02-17T13:17:09.000Z | # -*- coding: utf-8 -*-
Arquivo = open("C:\TEMP\python\Meu Filé2.txt")
print(Arquivo)
print ("-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=")
linhas = Arquivo.readlines()
# for linha_atual in linhas:
#print (linha_atual)
print ("-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=")
textoCompleto = Arquivo.read()
print (textoCo... | 23.611111 | 50 | 0.541176 |
505fedac2adf138fff7c233682e2e966b6870012 | 1,304 | py | Python | research/cv/StackedHourglass/src/models/loss.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/StackedHourglass/src/models/loss.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/StackedHourglass/src/models/loss.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 31.047619 | 78 | 0.631902 |
acf69592d80507bba0d511163933e7f4a769c0b7 | 9,064 | py | Python | official/cv/c3d/src/tools/dataset_preprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/c3d/src/tools/dataset_preprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/c3d/src/tools/dataset_preprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 40.464286 | 112 | 0.6015 |
8c84b6737c8b32460c54b691f9cf7d6ad5b5adee | 2,969 | py | Python | Python/pyBitwiseAutomation/PegaDevice.py | jimwaschura/Automation | f655feeea74ff22ebe44d8b68374ba6983748f60 | [
"BSL-1.0"
] | null | null | null | Python/pyBitwiseAutomation/PegaDevice.py | jimwaschura/Automation | f655feeea74ff22ebe44d8b68374ba6983748f60 | [
"BSL-1.0"
] | null | null | null | Python/pyBitwiseAutomation/PegaDevice.py | jimwaschura/Automation | f655feeea74ff22ebe44d8b68374ba6983748f60 | [
"BSL-1.0"
] | 1 | 2020-08-16T00:11:55.000Z | 2020-08-16T00:11:55.000Z | # PegaDevice.py
# ================================================================================
# BOOST SOFTWARE LICENSE
#
# Copyright 2020 BitWise Laboratories Inc.
# Original Author.......Jim Waschura
# Contact...............info@bitwiselabs.com
#
# Permission is hereby granted, free of charge, to any person or or... | 39.065789 | 82 | 0.645672 |
508df44ab634abecfda1e485aefedc4d913671b9 | 32,636 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/module_utils/gcp.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | 17 | 2017-06-07T23:15:01.000Z | 2021-08-30T14:32:36.000Z | ansible/ansible/module_utils/gcp.py | SergeyCherepanov/ansible | 875711cd2fd6b783c812241c2ed7a954bf6f670f | [
"MIT"
] | 9 | 2017-06-25T03:31:52.000Z | 2021-05-17T23:43:12.000Z | ansible/ansible/module_utils/gcp.py | SergeyCherepanov/ansible | 875711cd2fd6b783c812241c2ed7a954bf6f670f | [
"MIT"
] | 3 | 2018-05-26T21:31:22.000Z | 2019-09-28T17:00:45.000Z | # This code is part of Ansible, but is an independent component.
# This particular file snippet, and this file snippet only, is BSD licensed.
# Modules you write using this snippet, which is embedded dynamically by Ansible
# still belong to the author of the module, and may assign their own license
# to the complete wo... | 39.995098 | 115 | 0.606079 |
0fc2c71bca88666443d0c80d10ee68daa872b3a3 | 3,171 | py | Python | Packs/ThinkstCanary/Integrations/ThinkstCanary/ThinkstCanary_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/ThinkstCanary/Integrations/ThinkstCanary/ThinkstCanary_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/ThinkstCanary/Integrations/ThinkstCanary/ThinkstCanary_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
MOCK_PARAMS = {
'access-key': 'fake_access_key',
'secret-key': 'fake_access_key',
'server': 'http://123-fake-api.com/',
'unsecure': True,
'proxy': True
}
def test_fetch_incidents(mocker, requests_mock):
"""
Given: An existing last run time.
When: Running... | 48.045455 | 120 | 0.648061 |
fa649cc0110eb33fe7dfdc79bde451b5136d5831 | 17,762 | py | Python | Website/main.py | NeonCrafter13/easyvoc | 605f3394565df8192615bc9ced27c0fa8d1ee51a | [
"MIT"
] | null | null | null | Website/main.py | NeonCrafter13/easyvoc | 605f3394565df8192615bc9ced27c0fa8d1ee51a | [
"MIT"
] | null | null | null | Website/main.py | NeonCrafter13/easyvoc | 605f3394565df8192615bc9ced27c0fa8d1ee51a | [
"MIT"
] | null | null | null | # Pre Installed Imports
import os
from flask import Flask, templating, request, escape, session, redirect, make_response
from flask_wtf import FlaskForm
from flask_wtf.recaptcha import RecaptchaField
from wtforms import StringField, SubmitField, PasswordField
from wtforms.validators import DataRequired, Email, Eq... | 29.165846 | 109 | 0.575949 |
0f1cfc796f07be11fcc03d3c0a89abc240b694fb | 443 | py | Python | Curso-Em-Video-Python/1Materias/012_Condicoes_Aninhadas/#012 - Condições Aninhadas.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/1Materias/012_Condicoes_Aninhadas/#012 - Condições Aninhadas.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/1Materias/012_Condicoes_Aninhadas/#012 - Condições Aninhadas.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | #if:
#elif: pode usar quantos quiser
#else:
nome = str(input('Qual o seu nome: '))
if nome == 'Pedro':
print('Que belo nome {}'.format(nome))
elif nome == 'Gustavo' or nome == 'Maria':
print('Seu nome é bem popular no Brasil'.format(nome))
else:
print('Que nome sem graça {}'.format(nome))
print('Tenha um bo... | 26.058824 | 58 | 0.607223 |
0f8803e119fb8eb55277b67a3a92a07b8f522831 | 2,927 | py | Python | bawwab/tos.py | leibniz-psychology/bawwab | 2e7129bf59b33c0ee22a960e7b2835888068fd1a | [
"MIT"
] | 2 | 2021-07-06T06:00:22.000Z | 2022-01-15T09:29:44.000Z | bawwab/tos.py | leibniz-psychology/bawwab | 2e7129bf59b33c0ee22a960e7b2835888068fd1a | [
"MIT"
] | 11 | 2020-11-26T10:53:44.000Z | 2022-03-31T09:42:51.000Z | bawwab/tos.py | leibniz-psychology/bawwab | 2e7129bf59b33c0ee22a960e7b2835888068fd1a | [
"MIT"
] | 1 | 2022-01-15T09:30:46.000Z | 2022-01-15T09:30:46.000Z | # Copyright 2021 Leibniz Institute for Psychology
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge... | 30.810526 | 98 | 0.743765 |
adb23e40254d75128927741ccb06d2d0b9aa5140 | 4,654 | py | Python | CuteNewsRCE-master/RCE.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | CuteNewsRCE-master/RCE.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | CuteNewsRCE-master/RCE.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | #! /bin/env python3
import requests
from base64 import b64decode
import io
import re
import string
import random
import sys
banner = """
_____ __ _ __ ___ ___ ___
/ ___/_ __/ /____ / |/ /__ _ _____ |_ | < / |_ |
/ /__/ // / __/ -_) / -_... | 40.824561 | 205 | 0.45939 |
2a96e5d041b0b76c42fa4a9c324fc2dd7a8c523b | 278 | py | Python | 2023-number-of-pairs-of-strings-with-concatenation-equal-to-target/2023-number-of-pairs-of-strings-with-concatenation-equal-to-target.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 2023-number-of-pairs-of-strings-with-concatenation-equal-to-target/2023-number-of-pairs-of-strings-with-concatenation-equal-to-target.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 2023-number-of-pairs-of-strings-with-concatenation-equal-to-target/2023-number-of-pairs-of-strings-with-concatenation-equal-to-target.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def numOfPairs(self, nums: List[str], target: str) -> int:
output=0
for i, num1 in enumerate(nums):
for j, num2 in enumerate(nums):
if i!=j and num1+num2==target:
output+=1
return output | 34.75 | 62 | 0.52518 |
aace679bca4621bcd900d9a04127ad4155fb5590 | 3,485 | py | Python | 2016/day07_internet_protocol_version_7/python/src/test_solutions.py | tlake/advent-of-code | 17c729af2af5f1d95ba6ff68771a82ca6d00b05d | [
"MIT"
] | null | null | null | 2016/day07_internet_protocol_version_7/python/src/test_solutions.py | tlake/advent-of-code | 17c729af2af5f1d95ba6ff68771a82ca6d00b05d | [
"MIT"
] | null | null | null | 2016/day07_internet_protocol_version_7/python/src/test_solutions.py | tlake/advent-of-code | 17c729af2af5f1d95ba6ff68771a82ca6d00b05d | [
"MIT"
] | null | null | null | """Tests."""
import pytest
from part1 import TLSTester
from part2 import SSLTester
class TestPart1UnitTests:
"""."""
@pytest.mark.parametrize("test_input, expected", [
("abba", True),
("abcd", False),
("aaaa", False),
("ioxxoj", True)
])
def test_contains_abba(self, t... | 30.304348 | 80 | 0.54835 |
937d44305ea3bcb3d4c509aa4bbdcc6d28e9998d | 6,582 | py | Python | test/test_npu/test_conv_transpose2d_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_conv_transpose2d_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_conv_transpose2d_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Huawei Technologies.All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law... | 48.397059 | 95 | 0.609085 |
fa87772084dadd2eb434b44c2433696247b59d34 | 5,126 | py | Python | fbtor/test/test_set.py | Aimmig/FloatingBoolector | 039ca8be5e9527613a26ce423c6e4817a0b3a2cd | [
"MIT"
] | null | null | null | fbtor/test/test_set.py | Aimmig/FloatingBoolector | 039ca8be5e9527613a26ce423c6e4817a0b3a2cd | [
"MIT"
] | null | null | null | fbtor/test/test_set.py | Aimmig/FloatingBoolector | 039ca8be5e9527613a26ce423c6e4817a0b3a2cd | [
"MIT"
] | null | null | null | from fbtor.BitVecConvert import BitVecConvStatic
from fbtor.FBoolectorTypes import FPType, RMode, WIDTH
from pyboolector import Boolector
t = FPType.single
d = FPType.double
r = RMode.to_zero
n = RMode.to_nearest
set_fEq= [ ("-0","+0",Boolector.SAT,t,r), ("-1","+1",Boolector.UNSAT,t,r), ("5e17","5e17",Boolector.SAT,... | 62.512195 | 267 | 0.473859 |
108a45b7cf576b6c8813f5ed4fb22704d197872b | 1,512 | py | Python | src/test/tests/simulation/var.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/tests/simulation/var.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/test/tests/simulation/var.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: var.py
#
# Tests: libsim - connecting to simulation and retrieving data from it.
#
# Programmer: Kathleen Biagas
# Date: June 6, 2014
#
# Modifications:
#
# ------------------------------... | 25.2 | 78 | 0.596561 |
d82550d783c8ef9af5a5144f4332213888462ce9 | 655 | py | Python | session4/03_widgets_c.py | NeumannSven/pyshb_programmierkurs | 518da3766dff36e938b36c49d410edb52c0cb32c | [
"MIT"
] | 2 | 2019-10-26T12:47:05.000Z | 2020-07-07T16:36:19.000Z | session4/03_widgets_c.py | NeumannSven/pyshb_programmierkurs | 518da3766dff36e938b36c49d410edb52c0cb32c | [
"MIT"
] | null | null | null | session4/03_widgets_c.py | NeumannSven/pyshb_programmierkurs | 518da3766dff36e938b36c49d410edb52c0cb32c | [
"MIT"
] | 4 | 2020-02-28T13:43:05.000Z | 2020-12-02T10:39:46.000Z | import tkinter as tk
# Hauptfenster erzeugen
root = tk.Tk()
root.geometry('500x500')
# Texteingabefeld erzeugen
v = tk.StringVar()
e = tk.Entry(root, textvariable=v)
e.grid(row=0, column=0)
# Slider erzeugen
sterne = tk.IntVar()
s = tk.Scale(root, from_=1, to=5, variable=sterne, orient="horizontal")
s.grid(row=1, co... | 22.586207 | 78 | 0.731298 |
bfe44b608bbcdc3a4e7acfb9716387443b4d08ac | 24,138 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/net/netdiff.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 4 | 2020-11-13T02:35:56.000Z | 2021-03-29T20:15:54.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/net/netdiff.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 9 | 2020-12-09T02:12:39.000Z | 2021-02-18T00:15:28.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/net/netdiff.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | #!/usr/bin/env python
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2011-2020 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.ec... | 40.70489 | 118 | 0.590273 |
5e4fd479ead416f27069c62c1e174eef3e8ce4dc | 3,112 | py | Python | src/validator.py | Haus4/studienarbeit-stau | 10921f8850df67c797cf174b42fbc5dcec257251 | [
"MIT"
] | 2 | 2018-10-16T08:09:13.000Z | 2019-02-18T13:33:11.000Z | src/validator.py | Haus4/studienarbeit-stau | 10921f8850df67c797cf174b42fbc5dcec257251 | [
"MIT"
] | 7 | 2019-02-28T18:10:44.000Z | 2019-03-04T21:09:03.000Z | src/validator.py | Haus4/studienarbeit-stau | 10921f8850df67c797cf174b42fbc5dcec257251 | [
"MIT"
] | 1 | 2020-04-05T08:53:13.000Z | 2020-04-05T08:53:13.000Z | import os
import cv2
import json
import time
import random
import image_utils
import email.utils as eut
def loadCameras():
path = "data/"
cameras = [f for f in os.listdir(path) if os.path.isdir(os.path.join(path, f))]
return cameras
def loadImage(camera, name, masks):
path = "data/" + ca... | 26.827586 | 193 | 0.585154 |
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