hexsha stringlengths 40 40 | size int64 6 782k | ext stringclasses 7
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 237 | max_stars_repo_name stringlengths 6 72 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses list | max_stars_count int64 1 53k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 184 | max_issues_repo_name stringlengths 6 72 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses list | max_issues_count int64 1 27.1k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 184 | max_forks_repo_name stringlengths 6 72 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses list | max_forks_count int64 1 12.2k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 6 782k | avg_line_length float64 2.75 664k | max_line_length int64 5 782k | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b0291c9e56f5d150a762606c9455d10fa3524e3e | 3,071 | py | Python | nlpl/sampling.py | nemanja-m/nlpl | 9e34564a5b7e2b5b957cd09f96bcd1292403cd1b | [
"MIT"
] | null | null | null | nlpl/sampling.py | nemanja-m/nlpl | 9e34564a5b7e2b5b957cd09f96bcd1292403cd1b | [
"MIT"
] | 4 | 2021-04-30T21:07:54.000Z | 2022-02-10T01:23:11.000Z | nlpl/sampling.py | nemanja-m/nlpl | 9e34564a5b7e2b5b957cd09f96bcd1292403cd1b | [
"MIT"
] | null | null | null | from typing import Dict, Tuple, List
import numpy as np
class Sampler:
def __init__(
self,
word_counts: Dict[str, int],
index_word: Dict[int, str],
sample_rate: float = 1e-3,
word_prob_power: float = 0.75, # 3/4 as in the original word2vec paper.
):
self.index... | 33.380435 | 82 | 0.616412 |
05be8f0d03977b79a23ed5b0683562883c28b2eb | 584 | py | Python | tag_0/p_1_4_dividiere_zwei_zahlen.py | techrabbit58/uebung_informatik_vorkurs | e99312ae66ccccd6bfe45bfd3c3f43c01690659c | [
"Unlicense"
] | null | null | null | tag_0/p_1_4_dividiere_zwei_zahlen.py | techrabbit58/uebung_informatik_vorkurs | e99312ae66ccccd6bfe45bfd3c3f43c01690659c | [
"Unlicense"
] | null | null | null | tag_0/p_1_4_dividiere_zwei_zahlen.py | techrabbit58/uebung_informatik_vorkurs | e99312ae66ccccd6bfe45bfd3c3f43c01690659c | [
"Unlicense"
] | null | null | null | """
1 Einstieg (Tag 0)
1.4 Dividiere 2 Zahlen. Was passiert, wenn Du durch Null teilst?
"""
from hilfprogramme import float_number_input
if __name__ == '__main__':
print('Division von zwei Zahlen: x = a / b.')
a = float_number_input('a? ')
b = float_number_input('b? ')
try:
x = a / b
except... | 30.736842 | 83 | 0.601027 |
a55878e892b213a53502328bd3f7d4abb37eb82a | 712 | py | Python | qdviewer/tests.py | FlorianTimm/quer2qgis | 4ff6542fa9d26e4e37170b3437408f00547b7efd | [
"MIT"
] | null | null | null | qdviewer/tests.py | FlorianTimm/quer2qgis | 4ff6542fa9d26e4e37170b3437408f00547b7efd | [
"MIT"
] | null | null | null | qdviewer/tests.py | FlorianTimm/quer2qgis | 4ff6542fa9d26e4e37170b3437408f00547b7efd | [
"MIT"
] | null | null | null | db654 = QgsVectorLayer("D:\TTSIB\ESS\EXPORT\DB000654.DBF", "db654", "ogr")
db695 = QgsVectorLayer("D:\TTSIB\ESS\EXPORT\DB000695.DBF", "db695", "ogr")
db142 = QgsVectorLayer("D:\TTSIB\ESS\EXPORT\DB000142.DBF", "db142", "ogr")
QgsVectorFileWriter.writeAsVectorFormat(db654, "D:\TTSIB\ESS\EXPORT\db12.sqlite", "utf-8",... | 118.666667 | 160 | 0.75 |
b1c6e72db9cdbf21dd03849e889e31609eaa2684 | 95 | py | Python | mitglieder/apps.py | mribrgr/StuRa-Mitgliederdatenbank | 87a261d66c279ff86056e315b05e6966b79df9fa | [
"MIT"
] | 8 | 2019-11-26T13:34:46.000Z | 2021-06-21T13:41:57.000Z | src/mitglieder/apps.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | 93 | 2019-12-16T09:29:10.000Z | 2021-04-24T12:03:33.000Z | src/mitglieder/apps.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | 2 | 2020-12-03T12:43:19.000Z | 2020-12-22T21:48:47.000Z | from django.apps import AppConfig
class MitgliederConfig(AppConfig):
name = 'mitglieder'
| 15.833333 | 34 | 0.768421 |
5941a2a68ed44aae787d4c006f647a496d17b57a | 892 | pyde | Python | sketches/datetime/application.macosx/datetime.app/Contents/Processing/source/datetime.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/datetime/datetime.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/datetime/datetime.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | import datetime as dt
def setup():
size(640, 540)
this.surface.setTitle("Turhans Rentenuhr")
font = createFont("Coda-Heavy.ttf", 96)
textFont(font)
def draw():
background("#000000")
myNow = dt.datetime.now()
myHour = str(myNow.hour)
myMinute = str(myNow.minute).rjust(2, "0")
mySeco... | 29.733333 | 61 | 0.615471 |
abf49698677ea5f122b10e142f58866b7a568b12 | 401 | py | Python | scripts/repeat_until_success.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 2,816 | 2018-06-26T18:52:52.000Z | 2021-04-06T10:39:15.000Z | scripts/repeat_until_success.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 1,310 | 2021-04-06T16:04:52.000Z | 2022-03-31T13:52:53.000Z | scripts/repeat_until_success.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 270 | 2021-04-09T06:18:28.000Z | 2022-03-31T11:55:37.000Z | import os
import sys
import time
if len(sys.argv) <= 1:
print("Expected usage: python3 repeat_until_success.py [command]")
exit(1)
ntries = 10
sleep_duration = 3
cmd = sys.argv[1]
for i in range(ntries):
ret = os.system(cmd)
if ret is None or ret == 0:
exit(0)
print("Command {{ " + cmd + " }} failed, retrying... | 19.095238 | 93 | 0.640898 |
bd1b262b08345aee97a830d7062045584ce66bc8 | 1,261 | py | Python | packages/watchmen-pipeline-kernel/src/watchmen_pipeline_kernel/pipeline/pipelines_dispatcher.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-pipeline-kernel/src/watchmen_pipeline_kernel/pipeline/pipelines_dispatcher.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-pipeline-kernel/src/watchmen_pipeline_kernel/pipeline/pipelines_dispatcher.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from typing import Callable, List, Optional
from watchmen_model.pipeline_kernel import PipelineMonitorLog
from watchmen_pipeline_kernel.common import PipelineKernelException
from watchmen_pipeline_kernel.pipeline_schema import RuntimePipelineContext
from watchmen_pipeline_kernel.topic import RuntimeTopicStorages
cla... | 35.027778 | 92 | 0.789849 |
85f9e723ba72b692f444684ba391ff389f3c905c | 3,253 | py | Python | src/python/BI/PandasDemo.py | coulsonzero/webProject | 46ba2456620496f376ed954a6469381b8142e0f6 | [
"MIT"
] | null | null | null | src/python/BI/PandasDemo.py | coulsonzero/webProject | 46ba2456620496f376ed954a6469381b8142e0f6 | [
"MIT"
] | null | null | null | src/python/BI/PandasDemo.py | coulsonzero/webProject | 46ba2456620496f376ed954a6469381b8142e0f6 | [
"MIT"
] | null | null | null | import pandas as pd
data = {
"ages" : [14, 18, 24, 42],
"height" : [165, 180, 176, 184]
}
df = pd.DataFrame(data)
# print(df["ages"])
"""
0 14
1 18
2 24
3 42
"""
# print(df[["ages","height"]])
"""
Name: ages, dtype: int64
ages height
0 14 165
1 18 180
2 24 176
3 42 ... | 21.543046 | 75 | 0.468491 |
23acd95b7875cad8d0454c9b55f881380165cf27 | 28,119 | py | Python | code/01_phenotype_engineering/CCU013_01_create_table_aliases.py | BHFDSC/CCU013_01_ENG-COVID-19_event_phenotyping | 83afef23f96c7b31fef64c6f735737d1afa3082d | [
"Apache-2.0"
] | null | null | null | code/01_phenotype_engineering/CCU013_01_create_table_aliases.py | BHFDSC/CCU013_01_ENG-COVID-19_event_phenotyping | 83afef23f96c7b31fef64c6f735737d1afa3082d | [
"Apache-2.0"
] | null | null | null | code/01_phenotype_engineering/CCU013_01_create_table_aliases.py | BHFDSC/CCU013_01_ENG-COVID-19_event_phenotyping | 83afef23f96c7b31fef64c6f735737d1afa3082d | [
"Apache-2.0"
] | null | null | null | # Databricks notebook source
# MAGIC %md
# MAGIC # Creating table aliases
# MAGIC
# MAGIC **Description**
# MAGIC
# MAGIC This notebook creates input tables for the main datasets required for the COVID phenotyping work. After discussion with Sam this was deemed to be the best approach to parameterising the datas... | 58.58125 | 465 | 0.746684 |
f1a37c799a144295dc98569aef7d53f9150dc857 | 2,624 | py | Python | research/gnn/dgcn/preprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/gnn/dgcn/preprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/gnn/dgcn/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... | 42.322581 | 119 | 0.720274 |
f1f8bdcb12788587bd61468f5ccee4be34b10c36 | 279 | py | Python | Curso-Em-Video-Python/1Materias/08_Utilizando_Modulos/#08 - Utilizando Módulos A import.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/1Materias/08_Utilizando_Modulos/#08 - Utilizando Módulos A import.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/1Materias/08_Utilizando_Modulos/#08 - Utilizando Módulos A import.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | '''import math
num = int(input('Digite um numero: '))
raiz = math.sqrt(num)
print('a raiz de {} é igual a {}'.format(num, math.floor(raiz)))'''
'''from time import sleep
print('OK...')
sleep(1)'''
from math import factorial
n = int(input('Numero: '))
f = factorial(n)
print(f)
| 19.928571 | 67 | 0.637993 |
7b51b0698ee8f87a1bfd43db9b917cec62fc9fe4 | 796 | py | Python | main.py | Shahibur50/Smart_FizzBuzz | 5a66cc158a73eebb0c22b2edeb462ba995402085 | [
"BSD-3-Clause"
] | null | null | null | main.py | Shahibur50/Smart_FizzBuzz | 5a66cc158a73eebb0c22b2edeb462ba995402085 | [
"BSD-3-Clause"
] | null | null | null | main.py | Shahibur50/Smart_FizzBuzz | 5a66cc158a73eebb0c22b2edeb462ba995402085 | [
"BSD-3-Clause"
] | null | null | null | '''
Smart_FizzBuzz
Copyright (c) 2021, Shahibur Rahaman
All rights reserved.
'''
# Type as much fizzing rules you want ;-)
fizzing_rules = {
3: "Fizz",
5: "Buzz",
7: "Fuzz",
11: "Bizz",
13: "Biff"
}
def main(dictionary):
print("Current Fizzing Rules: ", end="")
for multiple, value in fi... | 19.414634 | 54 | 0.528894 |
7bb4be28bd43682caa2b8d557475c5453e653c1d | 578 | py | Python | OpenCVPython/websocket.py | mbHAW/AVPRG | 1de43c775ce471409b72fd68ce1053e9578c8874 | [
"MIT"
] | null | null | null | OpenCVPython/websocket.py | mbHAW/AVPRG | 1de43c775ce471409b72fd68ce1053e9578c8874 | [
"MIT"
] | null | null | null | OpenCVPython/websocket.py | mbHAW/AVPRG | 1de43c775ce471409b72fd68ce1053e9578c8874 | [
"MIT"
] | null | null | null | import asyncio
import websockets
import json
import opencv_python_object_detection_3 as video
async def show_time(websocket):
while websocket.open:
await websocket.send(json.dumps(video.coords))
await asyncio.sleep(0.2)
async def main():
loop = asyncio.get_event_loop()
... | 24.083333 | 63 | 0.66436 |
a81ff30b8f3aab6048791e3908375e8292d5841d | 1,109 | py | Python | DataProcess/auto_rotation/cal_rotation_cycle_time/cal_rotation_cycle_time_detail.py | zhangupkai/RFID_Script | 9e05fad86e71dc6bd5dd12650d369f13d5a835c8 | [
"MIT"
] | null | null | null | DataProcess/auto_rotation/cal_rotation_cycle_time/cal_rotation_cycle_time_detail.py | zhangupkai/RFID_Script | 9e05fad86e71dc6bd5dd12650d369f13d5a835c8 | [
"MIT"
] | null | null | null | DataProcess/auto_rotation/cal_rotation_cycle_time/cal_rotation_cycle_time_detail.py | zhangupkai/RFID_Script | 9e05fad86e71dc6bd5dd12650d369f13d5a835c8 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import find_peaks
# 计算当前转速下 B016_B023 转一圈的 所需时长
def cal_rotation_cycle_time_B016_B023(timestamp, phase):
# 定位 B016_B023 时间序列中的峰值，前三个峰（height > 0.4）对应 degree_0, degree_180, degree_360
# height=0.4 => 峰值最小高度为0.4
# dista... | 29.184211 | 81 | 0.706041 |
b58a0405f7425feb477daf1c06748b26a8a3568c | 142 | py | Python | set_difference.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | set_difference.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | set_difference.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | n_a = int(input())
a = set(input().split())
n_b = int(input())
b = set(input().split())
diff = ((set(a)).difference(set(b)))
print(len(diff)) | 20.285714 | 36 | 0.591549 |
8da8ddc362dade071c0ba52bd041957116a4c4bc | 709 | py | Python | Python/Buch_ATBS/Teil_1/Kapitel_01_bis_04/13_8Ball.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | Python/Buch_ATBS/Teil_1/Kapitel_01_bis_04/13_8Ball.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Buch_ATBS/Teil_1/Kapitel_01_bis_04/13_8Ball.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | # Kleines Zufallsspiel bei welchem man eine Frage stellen kann und evt die richtige Antwort kriegt
from random import randint as rng
print('Kennst du 8-Ball? Die Kugel die dir die Zukunft voraussagen soll? \nNein? Dann versuchs doch gleich mal')
print('Stelle der Magischen Kugel nun deine Frage')
frage=str(input())
a... | 37.315789 | 112 | 0.667137 |
573dc6d6eafee863c0f98fa0a2e3fe693a068c88 | 1,936 | py | Python | imwievaluation/tests/test_student.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | null | null | null | imwievaluation/tests/test_student.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | null | null | null | imwievaluation/tests/test_student.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | 1 | 2019-10-19T10:11:17.000Z | 2019-10-19T10:11:17.000Z | from tests.database_test import DatabaseTest
from sqlalchemy.exc import IntegrityError
from student import Student
class TestStudent(DatabaseTest):
def test_duplicate_student_not_added(self):
s1 = Student('Max', 'Mustermann', 'max@mustermann.de')
s2 = Student('Max', 'Mustermann', 'max@mustermann.... | 43.022222 | 78 | 0.678202 |
f5531d590b662cf261167ae1382377b7a5886f58 | 1,313 | py | Python | rattler/views.py | OpenAdaptronik/Rattler | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | 2 | 2018-05-18T08:38:29.000Z | 2018-05-22T08:26:09.000Z | rattler/views.py | IT-PM-OpenAdaptronik/Webapp | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | 118 | 2017-10-31T13:45:09.000Z | 2018-02-24T20:51:42.000Z | rattler/views.py | OpenAdaptronik/Rattler | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | null | null | null | from django.shortcuts import render, HttpResponseRedirect, HttpResponse
from django.contrib.auth.decorators import login_required
from django.contrib.auth.forms import AuthenticationForm
from django.templatetags.static import static
@login_required
def dashboard(request):
return render(request, 'dashboard/index.h... | 24.773585 | 71 | 0.729627 |
e31ab465203bd45e917f5e583019f8086ba4901c | 478 | py | Python | python/p006.py | tlming16/Projec_Euler | 797824c5159fae67493de9eba24c22cc7512d95d | [
"MIT"
] | 4 | 2018-11-14T12:03:05.000Z | 2019-09-03T14:33:28.000Z | python/p006.py | tlming16/Projec_Euler | 797824c5159fae67493de9eba24c22cc7512d95d | [
"MIT"
] | null | null | null | python/p006.py | tlming16/Projec_Euler | 797824c5159fae67493de9eba24c22cc7512d95d | [
"MIT"
] | 1 | 2018-11-17T14:39:22.000Z | 2018-11-17T14:39:22.000Z | #!/usr/bin/python3
# -*- coding:utf-8 -*-
class solution:
__slots__=('num')
def __init__(self,n:int):
self.num=n
def diff(self):
sum_sq=0
sq_sum=0
for v in range(self.num+1):
sq_sum+=v**2
sum_sq+=v
return sum_sq**2-sq_sum
if __name_... | 17.071429 | 35 | 0.5 |
8b5c23b1aaf1c1a79aa4c4f6022962b41d34bf3d | 141 | py | Python | 02_Python/sequences.py | DaviNakamuraCardoso/Harvard-CS50-Web-Programming | afec745eede41f7b294c3ee6ebaff9ac042e5e4c | [
"MIT"
] | null | null | null | 02_Python/sequences.py | DaviNakamuraCardoso/Harvard-CS50-Web-Programming | afec745eede41f7b294c3ee6ebaff9ac042e5e4c | [
"MIT"
] | null | null | null | 02_Python/sequences.py | DaviNakamuraCardoso/Harvard-CS50-Web-Programming | afec745eede41f7b294c3ee6ebaff9ac042e5e4c | [
"MIT"
] | null | null | null | def main():
name = "Brian"
print(name[0])
print(name[:3])
print(name[3:])
return
if __name__ == '__main__':
main()
| 12.818182 | 26 | 0.524823 |
47ca2be2864f06b4b15be89b007df25a2f40d68b | 5,399 | py | Python | SC101_Assignments/SC101_Assignment0/blur.py | JIllchen487/StanCode101 | 8025dd4e4cf0cb3d14d7314ef4ea6dfff3e5b5cc | [
"MIT"
] | null | null | null | SC101_Assignments/SC101_Assignment0/blur.py | JIllchen487/StanCode101 | 8025dd4e4cf0cb3d14d7314ef4ea6dfff3e5b5cc | [
"MIT"
] | null | null | null | SC101_Assignments/SC101_Assignment0/blur.py | JIllchen487/StanCode101 | 8025dd4e4cf0cb3d14d7314ef4ea6dfff3e5b5cc | [
"MIT"
] | null | null | null | """
File: blur.py
Name:
-------------------------------
This file shows the original image first,
smiley-face.png, and then compare to its
blurred image. The blur algorithm uses the
average RGB values of a pixel's nearest neighbors.
"""
from simpleimage import SimpleImage
BLUR_INDEX = 5
def main():
"""
TODO: ... | 38.564286 | 66 | 0.408039 |
9a16e59e990d0cde3b781e19b4bae26ff4cf63d3 | 221 | py | Python | nz_django/day5/class_view_demo_01/front/models.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | null | null | null | nz_django/day5/class_view_demo_01/front/models.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 27 | 2020-02-12T07:55:58.000Z | 2022-03-12T00:19:09.000Z | nz_django/day5/class_view_demo_01/front/models.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 2 | 2020-02-18T01:54:55.000Z | 2020-02-21T11:36:28.000Z | from django.db import models
# Create your models here.
class Article(models.Model):
title = models.CharField(max_length=100)
content = models.TextField()
create_time = models.DateTimeField(auto_now_add=True) | 31.571429 | 57 | 0.760181 |
d0132ace8174135dc59a1e5999a0a799513e3d55 | 24,414 | py | Python | energielenker/energielenker/project/project.py | libracore/energielenker | 97169f2f7b21f636ab473c7561cc8e147c4b12ab | [
"MIT"
] | null | null | null | energielenker/energielenker/project/project.py | libracore/energielenker | 97169f2f7b21f636ab473c7561cc8e147c4b12ab | [
"MIT"
] | null | null | null | energielenker/energielenker/project/project.py | libracore/energielenker | 97169f2f7b21f636ab473c7561cc8e147c4b12ab | [
"MIT"
] | 1 | 2021-08-14T22:22:57.000Z | 2021-08-14T22:22:57.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2021, libracore and contributors
# For license information, please see license.txt
import frappe
from energielenker.energielenker.timesheet_manager import get_employee_rate_external, get_employee_rate_internal
from frappe import _
from frappe.model.naming import make_autoname
fr... | 36.657658 | 180 | 0.60027 |
4bdcbaa181112d654f54f98de0ab762cb49319f7 | 379 | py | Python | Packs/Confluera/Scripts/ConflueraProgressionsCount/ConflueraProgressionsCount.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Confluera/Scripts/ConflueraProgressionsCount/ConflueraProgressionsCount.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Confluera/Scripts/ConflueraProgressionsCount/ConflueraProgressionsCount.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | from CommonServerPython import *
from CommonServerUserPython import *
# Executes confluera-fetch-progressions command/script
progressions_data = demisto.executeCommand('confluera-fetch-progressions', {'hours': '72'})
prog_count = 0
if progressions_data[1] and progressions_data[1]['Contents']:
prog_count = len(pro... | 31.583333 | 91 | 0.794195 |
4be50814dac5fc74f8cfc644bbcb0f28d9e689c7 | 133 | py | Python | Warrior.py | Mathias-Mo/Zauberwald_v05 | 7c67b7ed086feb8e3897f4b6c2122b8b66256331 | [
"MIT"
] | null | null | null | Warrior.py | Mathias-Mo/Zauberwald_v05 | 7c67b7ed086feb8e3897f4b6c2122b8b66256331 | [
"MIT"
] | null | null | null | Warrior.py | Mathias-Mo/Zauberwald_v05 | 7c67b7ed086feb8e3897f4b6c2122b8b66256331 | [
"MIT"
] | null | null | null | from FighterClass import FighterClass
class Warrior(FighterClass):
def __init__(self, params):
super().__init__(params) | 22.166667 | 37 | 0.736842 |
de1a49b5651c6505673a8c14637ce33637fb834b | 1,067 | py | Python | pegasus-loki-rat-master/agent/config.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | pegasus-loki-rat-master/agent/config.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | pegasus-loki-rat-master/agent/config.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | SERVER = "http://localhost:8080"
HELLO_INTERVAL = 2
IDLE_TIME = 60
MAX_FAILED_CONNECTIONS = 10
PERSIST = True
HELP = """
<any shell command>
Executes the command in a shell and return its output.
upload <local_file>
Uploads <local_file> to server.
download <url> <destination>
Downloads a file through HTTP(S).
zip <a... | 20.519231 | 68 | 0.659794 |
deba3a9b55424c9cedb56f060f8a8a07f1b2c1b1 | 4,942 | py | Python | tests/conftest.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 11 | 2017-10-02T01:29:12.000Z | 2022-03-31T08:37:22.000Z | tests/conftest.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 79 | 2017-07-16T14:47:17.000Z | 2022-03-31T08:49:14.000Z | tests/conftest.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 2 | 2019-01-28T06:11:58.000Z | 2021-01-25T07:21:21.000Z | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import pytest
from typing import Iterator, Callable
@pytest.fixture
def create_tmpfile_from(tmpdir) -> Callable[[str], str]:
def func(content: str) -> str:
tmpfile = tmpdir.join("tmpfile")
with tmpfile.open("w", encoding="utf-8") as f:
f.wri... | 18.578947 | 61 | 0.598948 |
9d1f42cb5ee5f579c0741caa43a6f0ba76c04681 | 351 | py | Python | python_project/python/ModifyIp.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | 1 | 2018-12-30T14:07:42.000Z | 2018-12-30T14:07:42.000Z | python_project/python/ModifyIp.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | python_project/python/ModifyIp.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | def modifyip(tfile,sstr,rstr):
try:
lines=open(tfile,'r').readlines()
flen=len(lines)-1
for i in range(flen):
if sstr in lines[i]:
lines[i]=lines[i].replace(sstr,rstr)
open(tfile,'w').writelines(lines)
except Exception,e:
print e
... | 23.4 | 52 | 0.51567 |
26614d86157de50d6a766f815112e46280d1c71d | 4,440 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/contributed/saga/generateAmitranFromTAZWeights.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/contributed/saga/generateAmitranFromTAZWeights.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/contributed/saga/generateAmitranFromTAZWeights.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | #!/usr/bin/env python3
""" Generate the default Amitran OD-matrix from TAZ weights.
Author: Lara CODECA
This program and the accompanying materials are made available under the
terms of the Eclipse Public License 2.0 which is available at
http://www.eclipse.org/legal/epl-2.0.
"""
import argparse
imp... | 38.275862 | 154 | 0.570721 |
2661a82df569d424bce5ac7075453bad4b4f4468 | 743 | py | Python | Worker/KerasCallback.py | th-nuernberg/ml-cloud | 6d7527cbf6cceb7062e74dbc43d51998381aa6c8 | [
"MIT"
] | null | null | null | Worker/KerasCallback.py | th-nuernberg/ml-cloud | 6d7527cbf6cceb7062e74dbc43d51998381aa6c8 | [
"MIT"
] | 7 | 2020-07-19T03:29:21.000Z | 2022-03-02T06:46:12.000Z | Worker/KerasCallback.py | th-nuernberg/ml-cloud | 6d7527cbf6cceb7062e74dbc43d51998381aa6c8 | [
"MIT"
] | null | null | null | from keras.callbacks import Callback
from RestAPI import RestAPI
class StatusCallback(Callback):
def __init__(self, api: RestAPI, job_id):
super().__init__()
self.job_id = job_id
self.api = api
def on_epoch_end(self, epoch, logs=None):
self.api.update_job_progress(job_id=sel... | 30.958333 | 156 | 0.679677 |
39a4b77326cef68f3ce9ae3a5af1bc5f123dd058 | 1,905 | py | Python | display/_audio_menu_view.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | display/_audio_menu_view.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | display/_audio_menu_view.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | from ._button_lights import ButtonLights
from ._view import View
from ._display import Display
from config import AudioConfig
audio_menu_view_name = "audio_menu_view"
active_cursor_value = 1
file_cursor_value = 2
min_cursor_value = active_cursor_value
max_cursor_value = file_cursor_value
class AudioMenuView(View):
... | 25.743243 | 78 | 0.594226 |
ffd7a688cda17b6e2544aaf0d679d4875b9e5bba | 132 | py | Python | 41A.py | cbarnson/UVa | 0dd73fae656613e28b5aaf5880c5dad529316270 | [
"Unlicense",
"MIT"
] | 2 | 2019-09-07T17:00:26.000Z | 2020-08-05T02:08:35.000Z | 41A.py | cbarnson/UVa | 0dd73fae656613e28b5aaf5880c5dad529316270 | [
"Unlicense",
"MIT"
] | null | null | null | 41A.py | cbarnson/UVa | 0dd73fae656613e28b5aaf5880c5dad529316270 | [
"Unlicense",
"MIT"
] | null | null | null | #! python
# Problem # : 41A
# Created on : 2019-01-15 20:56:09
def Main():
pass
if __name__ == '__main__':
Main()
| 10.153846 | 36 | 0.545455 |
4b5148b34051b432a84ae7caca168e4ecde8dc1e | 356 | py | Python | packages/watchmen-model/src/watchmen_model/chart/chart_types.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-model/src/watchmen_model/chart/chart_types.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-model/src/watchmen_model/chart/chart_types.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from enum import Enum
from typing import TypeVar
ChartColor = TypeVar("ChartColor", bound=str)
class ChartType(str, Enum):
COUNT = 'count'
BAR = 'bar'
LINE = 'line'
SCATTER = 'scatter'
PIE = 'pie'
DOUGHNUT = 'doughnut'
NIGHTINGALE = 'nightingale'
SUNBURST = 'sunburst'
TREE = 'tree'
TREEMAP = 'treemap'
MAP... | 17.8 | 45 | 0.682584 |
4b8916c861700c2634bb2b440c8137074e5b4253 | 313 | py | Python | send_text.py | judekuti/SMS-Sender | 4c0a81c8f6ac7d4a5efcc910c97991e49e22a99b | [
"Python-2.0"
] | null | null | null | send_text.py | judekuti/SMS-Sender | 4c0a81c8f6ac7d4a5efcc910c97991e49e22a99b | [
"Python-2.0"
] | null | null | null | send_text.py | judekuti/SMS-Sender | 4c0a81c8f6ac7d4a5efcc910c97991e49e22a99b | [
"Python-2.0"
] | null | null | null | from twilio.rest import Client
account_sid=""
auth_token=""
client=Client(account_sid, auth_token)
message=client.messages.create(
to="+19726706437",
from_="+19724585557",
body="Hey Jude, what about showing off your sms sender app!!!")
print (message.sid)
| 20.866667 | 67 | 0.629393 |
8a07cea05189839c38d08483a2972039bde927b8 | 625 | py | Python | Imaginary/2021/web/Sinking_Calculator/app.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | Imaginary/2021/web/Sinking_Calculator/app.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | Imaginary/2021/web/Sinking_Calculator/app.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from flask import Flask, render_template_string, request
app = Flask(__name__)
@app.route('/')
def index():
return open('templates/index.html').read()
@app.route('/calc')
def calc():
query = request.args['query']
request.args = {}
request.headers = {} # no outside help!
re... | 25 | 83 | 0.6128 |
0a11e3f26a74cc17811331703979b8030ab1db2f | 127 | py | Python | gestionResultadosProtocolo/apps.py | AnuTor/UniNeuroLab | 5825f440d4663650f038083f3da05229cc5ada4f | [
"Apache-2.0"
] | 1 | 2021-01-09T01:20:45.000Z | 2021-01-09T01:20:45.000Z | gestionResultadosProtocolo/apps.py | AnuTor/UniNeuroLab | 5825f440d4663650f038083f3da05229cc5ada4f | [
"Apache-2.0"
] | 1 | 2021-01-09T00:53:55.000Z | 2021-01-09T00:53:55.000Z | gestionResultadosProtocolo/apps.py | AnuTor/UniNeuroLab | 5825f440d4663650f038083f3da05229cc5ada4f | [
"Apache-2.0"
] | 1 | 2021-01-07T23:57:28.000Z | 2021-01-07T23:57:28.000Z | from django.apps import AppConfig
class GestionresultadosprotocoloConfig(AppConfig):
name = 'gestionResultadosProtocolo'
| 21.166667 | 50 | 0.826772 |
0a5fa68553b4e61c3ec72c607ea7ff1d5398634b | 1,047 | py | Python | python/en/archive/dropbox/udacity-ds_and_algos/udacity-ds_and_algos-lesson2-python_refresher-function_and_generator-exercise1.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/udacity-ds_and_algos/udacity-ds_and_algos-lesson2-python_refresher-function_and_generator-exercise1.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/udacity-ds_and_algos/udacity-ds_and_algos-lesson2-python_refresher-function_and_generator-exercise1.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | # udacity-ds_and_algos-lesson2-python_refresher-function_and_generator-exercise1.py
# solution.py
def prod(a,b):
# TODO change output to the product of a and b
return a * b
def fact_gen():
i = 1
n = i
while True:
output = prod(n, i)
yield output
# TODO: update i and n
... | 17.745763 | 83 | 0.579752 |
6a62c8da67830801d4c6acb47af1349139f32ef5 | 9,514 | py | Python | phypidaq/DataGraphs.py | RMGrau/PhyPiDAQ | e7ea08a0d5de9772a1a5e32ccd0ab1bfddf9ff54 | [
"BSD-2-Clause"
] | 7 | 2018-11-30T13:38:27.000Z | 2021-03-10T15:37:56.000Z | phypidaq/DataGraphs.py | RMGrau/PhyPiDAQ | e7ea08a0d5de9772a1a5e32ccd0ab1bfddf9ff54 | [
"BSD-2-Clause"
] | 5 | 2020-11-11T09:19:00.000Z | 2022-02-06T09:04:55.000Z | phypidaq/DataGraphs.py | RMGrau/PhyPiDAQ | e7ea08a0d5de9772a1a5e32ccd0ab1bfddf9ff54 | [
"BSD-2-Clause"
] | 16 | 2019-04-16T10:15:45.000Z | 2021-12-15T14:59:31.000Z | # -*- coding: utf-8 -*-
from __future__ import print_function, division, unicode_literals
from __future__ import absolute_import
import time, numpy as np
import matplotlib.pyplot as plt
class DataGraphs(object):
''' Bar graph display, history plot and XY-display
forked from picoDAQ.DataGraphs
'''
def... | 34.596364 | 88 | 0.578831 |
6a80d75b67eb9e1d7ac086ea3bd4deab605bade3 | 3,073 | py | Python | zencad/__init__.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | 5 | 2018-04-11T14:11:40.000Z | 2018-09-12T19:03:36.000Z | zencad/__init__.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | zencad/__init__.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from zencad.version import __occt_version__, __pythonocc_version__
import os
import sys
from zencad.version import __occt_version__
# Libraries loading test. Starts with gui mode only.
if (
(True
# sys.platform == "win32" or
# sys.argv[0][-7:] == "/zencad"
# ... | 28.990566 | 83 | 0.649854 |
7c26783d4abc01191a2786baa5d01080f10c85e2 | 1,789 | py | Python | NN/Test/TF/Tensorboard.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 1,107 | 2016-09-21T02:18:36.000Z | 2022-03-29T02:52:12.000Z | NN/Test/TF/Tensorboard.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 18 | 2016-12-22T10:24:47.000Z | 2022-03-11T23:18:43.000Z | NN/Test/TF/Tensorboard.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 776 | 2016-12-21T12:08:08.000Z | 2022-03-21T06:12:08.000Z | from NN.TF.Networks import *
from Util.Util import DataUtil
def main():
save = False
load = False
show_loss = True
train_only = False
verbose = 2
lr = 0.001
lb = 0.001
epoch = 10
record_period = 1
x, y = DataUtil.get_dataset("mnist", "../../../_Data/mnist.tx... | 28.396825 | 112 | 0.491336 |
7cf70c8954d0999e5c072b0a63dbdf3ab1f4ac4f | 658 | py | Python | exam_notes/exam_notes/web/urls.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | 1 | 2022-03-03T10:16:14.000Z | 2022-03-03T10:16:14.000Z | exam_notes/exam_notes/web/urls.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | null | null | null | exam_notes/exam_notes/web/urls.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | null | null | null | from django.urls import path
from exam_notes.web.views import show_home, create_profile, profile_details, add_note, edit_note, delete_note, \
note_details, delete_profile
urlpatterns = (
path('', show_home, name='index'),
path('create/', create_profile, name='create profile'),
path('profile/delete/', ... | 36.555556 | 112 | 0.68845 |
6b1e7a0c6b083f9637836b22afd806164f3ee031 | 4,498 | py | Python | packages/watchmen-dqc/src/watchmen_dqc/monitor/rule/rules_controller.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-dqc/src/watchmen_dqc/monitor/rule/rules_controller.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-dqc/src/watchmen_dqc/monitor/rule/rules_controller.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from datetime import datetime
from logging import getLogger
from typing import Dict, List, Tuple
from watchmen_data_kernel.storage import TopicDataService
from watchmen_model.dqc import MonitorRule, MonitorRuleCode
from watchmen_utilities import ArrayHelper
from .disabled_rules import disabled_rules
from .factor_and_a... | 43.25 | 107 | 0.850156 |
6b24b8e6cce09a14f0388333befee832aedcb104 | 7,997 | py | Python | python/oneflow/compatible/single_client/test/ops/test_pool_padding.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 3,285 | 2020-07-31T05:51:22.000Z | 2022-03-31T15:20:16.000Z | python/oneflow/compatible/single_client/test/ops/test_pool_padding.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 2,417 | 2020-07-31T06:28:58.000Z | 2022-03-31T23:04:14.000Z | python/oneflow/compatible/single_client/test/ops/test_pool_padding.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 520 | 2020-07-31T05:52:42.000Z | 2022-03-29T02:38:11.000Z | """
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... | 31.988 | 88 | 0.50744 |
862366b934f01566730b96f779916cf668ae7bb9 | 5,404 | py | Python | task_1/main.py | christopher-besch/bwinf39 | e5394b37894a56608312057d179029d8a5df98fd | [
"MIT"
] | 1 | 2021-03-17T09:24:21.000Z | 2021-03-17T09:24:21.000Z | task_1/main.py | christopher-besch/bwinf39 | e5394b37894a56608312057d179029d8a5df98fd | [
"MIT"
] | null | null | null | task_1/main.py | christopher-besch/bwinf39 | e5394b37894a56608312057d179029d8a5df98fd | [
"MIT"
] | null | null | null | import re
import sys
def load_file(filepath):
with open(filepath, "r", encoding="utf-8") as file:
# first line is text
text = file.readline().strip()
# second line is word bank
word_bank = file.readline().strip().split(" ")
return text, word_bank
def cut_words(te... | 37.268966 | 121 | 0.637676 |
07f2ec69877bccb491f9f32c1da1005c9f84127c | 315 | py | Python | pacman-termux/test/pacman/tests/ldconfig002.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/tests/ldconfig002.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/tests/ldconfig002.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "Make sure ldconfig runs on an upgrade operation"
lp = pmpkg("dummy")
self.addpkg2db("local", lp)
p = pmpkg("dummy", "1.0-2")
self.addpkg(p)
self.args = "-U %s" % p.filename()
self.addrule("PACMAN_RETCODE=0")
self.addrule("PKG_VERSION=dummy|1.0-2")
self.addrule("FILE_EXIST=etc/ld.so.cache")
| 22.5 | 68 | 0.698413 |
ed0cd6e15fe5c2588f25000a2063132589072597 | 2,296 | py | Python | frappe-bench/env/lib/python2.7/site-packages/stdnum/nl/onderwijsnummer.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/env/lib/python2.7/site-packages/stdnum/nl/onderwijsnummer.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/env/lib/python2.7/site-packages/stdnum/nl/onderwijsnummer.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # onderwijsnummer.py - functions for handling onderwijsnummers
#
# Copyright (C) 2012, 2013 Arthur de Jong
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the Li... | 30.613333 | 77 | 0.716899 |
92efe5e8ab7faaa20f676b5db2ae44cac2551980 | 748 | py | Python | tests/onegov/winterthur/test_views.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/winterthur/test_views.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/winterthur/test_views.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import transaction
from onegov.winterthur.collections import AddressCollection
from tests.shared import Client as BaseClient
class Client(BaseClient):
skip_first_form = True
def test_view_addresses(winterthur_app, streets_csv, addresses_csv):
client = Client(winterthur_app)
page = client.get('/streets... | 24.129032 | 68 | 0.744652 |
b9579f9c53f42dbeaa5bab302d3773cebeec4793 | 29,785 | py | Python | rasa/utils/tensorflow/models.py | chaneyjd/rasa | 104a9591fc10b96eaa7fe402b6d64ca652b7ebe2 | [
"Apache-2.0"
] | 1 | 2020-10-14T18:09:10.000Z | 2020-10-14T18:09:10.000Z | rasa/utils/tensorflow/models.py | chaneyjd/rasa | 104a9591fc10b96eaa7fe402b6d64ca652b7ebe2 | [
"Apache-2.0"
] | 187 | 2020-02-25T16:07:06.000Z | 2022-03-01T13:42:41.000Z | rasa/utils/tensorflow/models.py | chaneyjd/rasa | 104a9591fc10b96eaa7fe402b6d64ca652b7ebe2 | [
"Apache-2.0"
] | null | null | null | import datetime
import tensorflow as tf
import numpy as np
import logging
import os
import shutil
from collections import defaultdict
from pathlib import Path
from typing import (
List,
Text,
Dict,
Tuple,
Union,
Optional,
Callable,
TYPE_CHECKING,
Any,
)
from tqdm import tqdm
from r... | 35.041176 | 113 | 0.601779 |
b99110647ef908dfaec2b700d47081ab21a6f066 | 1,158 | py | Python | DataStructures/Trie/NoPrefix.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | DataStructures/Trie/NoPrefix.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | DataStructures/Trie/NoPrefix.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | #coding:utf-8
N = int(raw_input())
root = {}
for _ in xrange(N):
s = raw_input()
node = root
is_added = False
if s[0] not in root:
for char in s:
node[char] = {}
node = node[char]
is_added = True
continue
is_added = False
for char i... | 17.815385 | 57 | 0.450777 |
b9f5aac014e039a1e5b065ef94fcc571c4bf854e | 818 | py | Python | python/asyncio/framework/exception.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/asyncio/framework/exception.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/asyncio/framework/exception.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | from .response import Response
class HTTPException(Response, Exception):
status_code = None
def __init__(self, reason=None, content_type=None):
self._reason = reason
self._content_type = content_type
Response.__init__(
self,
body=self._reason,
stat... | 22.108108 | 66 | 0.672372 |
e024075d7ecfaa0fe485dee206857587d5eb0405 | 17,375 | py | Python | Packs/CohesityHelios/Integrations/CohesityHelios/CohesityHelios.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CohesityHelios/Integrations/CohesityHelios/CohesityHelios.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CohesityHelios/Integrations/CohesityHelios/CohesityHelios.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | """Cohesity Helios Integration for Cortex XSOAR (aka Demisto).
"""
import demistomock as demisto
from CommonServerPython import * # noqa # pylint: disable=unused-wildcard-import
from CommonServerUserPython import * # noqa
from datetime import datetime, timedelta
from dateparser import parse
from typing import Dict, ... | 34.270217 | 111 | 0.645986 |
e028a60989777b87a78ad1a147a4ec6f52d95fbc | 720 | py | Python | data-pipeline/src/data_pipeline/data_types/variant/annotate_variants.py | broadinstitute/gnomadjs | 00da72cdc2cb0753f822c51456ec15147c024a1d | [
"MIT"
] | 38 | 2018-02-24T02:33:52.000Z | 2020-03-03T23:17:04.000Z | data-pipeline/src/data_pipeline/data_types/variant/annotate_variants.py | broadinstitute/gnomadjs | 00da72cdc2cb0753f822c51456ec15147c024a1d | [
"MIT"
] | 385 | 2018-02-21T16:53:13.000Z | 2020-03-04T00:52:40.000Z | data-pipeline/src/data_pipeline/data_types/variant/annotate_variants.py | broadinstitute/gnomadjs | 00da72cdc2cb0753f822c51456ec15147c024a1d | [
"MIT"
] | 13 | 2020-05-01T13:03:54.000Z | 2022-02-28T13:12:57.000Z | import hail as hl
def annotate_variants(variants_path, exome_coverage_path=None, genome_coverage_path=None, caids_path=None):
ds = hl.read_table(variants_path)
ds = ds.annotate(coverage=hl.struct())
if exome_coverage_path:
exome_coverage = hl.read_table(exome_coverage_path)
ds = ds.annota... | 36 | 107 | 0.723611 |
e05af5da782da57fa538b1d6c6fc6c2cefab2fb7 | 807 | py | Python | examples/pcf8591_joystick.py | Elecrow-RD/Raspberry-Pi-Starter-Kit | 9adad7bfb403a697119bf80bbc2290bc3832750d | [
"MIT"
] | 1 | 2020-08-11T23:39:23.000Z | 2020-08-11T23:39:23.000Z | examples/pcf8591_joystick.py | Elecrow-RD/Raspberry-Pi-Starter-Kit | 9adad7bfb403a697119bf80bbc2290bc3832750d | [
"MIT"
] | null | null | null | examples/pcf8591_joystick.py | Elecrow-RD/Raspberry-Pi-Starter-Kit | 9adad7bfb403a697119bf80bbc2290bc3832750d | [
"MIT"
] | 1 | 2020-08-05T18:30:45.000Z | 2020-08-05T18:30:45.000Z | #!/usr/bin/python
# -*- coding:utf-8 -*-
# www.elecrow.com
import smbus
import time
# NOTE: This PCF8591 script is used with the joystick example because we will need to use more than 1 analog input
# please follow up the instructions on the PCF8591 schematic to connect the right sensors in the right way.
address = ... | 23.057143 | 114 | 0.675341 |
e06224a3e4da4429d818edbebe5ad60286fd4fba | 767 | py | Python | Kapitel 2/Caesar.py | mqng/HS-CO_WS2122_IF_FProg | b52470e0991bdbaeba22b154c4029e6cded51fd7 | [
"MIT"
] | null | null | null | Kapitel 2/Caesar.py | mqng/HS-CO_WS2122_IF_FProg | b52470e0991bdbaeba22b154c4029e6cded51fd7 | [
"MIT"
] | null | null | null | Kapitel 2/Caesar.py | mqng/HS-CO_WS2122_IF_FProg | b52470e0991bdbaeba22b154c4029e6cded51fd7 | [
"MIT"
] | null | null | null | def caesar_encode(src, dist):
cipher = ""
for c in src:
if (c.isupper()):
a = ord('A')
z = ord('Z')
cipher += chr(((ord(c) - a + dist) % 26) + a)
elif (c == " "):
cipher += c
elif (c.islower()):
a = ord('a')
z = or... | 21.305556 | 57 | 0.517601 |
163a6df7e72821ed8938c23e5d0143289c5c65e5 | 8,199 | py | Python | home-assistant/custom_components/burze_dzis_net/binary_sensor.py | square-spade/SmartHouse | 1566fe6153321908ff4cda48f6ff5cdf5de8fe67 | [
"MIT"
] | 136 | 2019-06-27T08:11:47.000Z | 2022-03-11T12:26:53.000Z | home-assistant/custom_components/burze_dzis_net/binary_sensor.py | Venkysgithu/SmartHouse | d4e42dbbbb1f535f1684d507de411a4421b92e4d | [
"MIT"
] | 13 | 2019-08-07T05:49:44.000Z | 2022-03-17T09:07:22.000Z | home-assistant/custom_components/burze_dzis_net/binary_sensor.py | Venkysgithu/SmartHouse | d4e42dbbbb1f535f1684d507de411a4421b92e4d | [
"MIT"
] | 63 | 2019-07-15T21:11:58.000Z | 2022-03-13T09:43:24.000Z | from datetime import timedelta
import voluptuous as vol
import logging
from homeassistant.util import Throttle
from homeassistant.util.dt import parse_datetime
from homeassistant.components.binary_sensor import PLATFORM_SCHEMA, ENTITY_ID_FORMAT
from homeassistant.const import CONF_NAME, CONF_RADIUS, CONF_API_KEY, ATTR... | 37.958333 | 138 | 0.680937 |
16698969cd714903efbd4e6523d9959460704f12 | 1,761 | py | Python | methods/transformers/tests/test_modeling_flax_roberta.py | INK-USC/RiddleSense | a3d57eaf084da9cf6b77692c608e2cd2870fbd97 | [
"MIT"
] | 3 | 2021-07-06T20:02:31.000Z | 2022-03-27T13:13:01.000Z | methods/transformers/tests/test_modeling_flax_roberta.py | INK-USC/RiddleSense | a3d57eaf084da9cf6b77692c608e2cd2870fbd97 | [
"MIT"
] | null | null | null | methods/transformers/tests/test_modeling_flax_roberta.py | INK-USC/RiddleSense | a3d57eaf084da9cf6b77692c608e2cd2870fbd97 | [
"MIT"
] | null | null | null | import unittest
from numpy import ndarray
from transformers import TensorType, is_flax_available, is_torch_available
from transformers.testing_utils import require_flax, require_torch
from transformers.tokenization_roberta_fast import RobertaTokenizerFast
if is_flax_available():
from transformers.mode... | 40.953488 | 117 | 0.683702 |
167177cb34a6cfb16660a194f0225003a488355b | 3,788 | py | Python | tests/test_volume_migrate_sync.py | cloudmesh/cloudmesh-volume | a7502d077f2fb7c6b1b7986da9595a36591b06cd | [
"Apache-2.0"
] | 1 | 2020-03-12T09:49:53.000Z | 2020-03-12T09:49:53.000Z | tests/test_volume_migrate_sync.py | cloudmesh/cloudmesh-volume | a7502d077f2fb7c6b1b7986da9595a36591b06cd | [
"Apache-2.0"
] | 1 | 2020-03-25T00:47:12.000Z | 2020-03-30T23:32:00.000Z | tests/test_volume_migrate_sync.py | cloudmesh/cloudmesh-volume | a7502d077f2fb7c6b1b7986da9595a36591b06cd | [
"Apache-2.0"
] | 5 | 2020-02-20T01:04:24.000Z | 2020-05-05T14:36:30.000Z | ###############################################################
# pytest -v --capture=no tests/test_volume_migrate_sync.py
###############################################################
import pytest
import json
import os
from time import sleep
from cloudmesh.common.Benchmark import Benchmark
from cloudmesh.common.Sh... | 32.93913 | 76 | 0.63094 |
16b8f434f4ec07bfa976665a26630dc5328a3e7e | 446 | py | Python | reports/migrations/0004_auto_20161126_1300.py | Daniel-Hoerauf/cs3240-f16-team11 | 0377bcb8ede9599c04daf7683b065abb2a47f893 | [
"MIT"
] | null | null | null | reports/migrations/0004_auto_20161126_1300.py | Daniel-Hoerauf/cs3240-f16-team11 | 0377bcb8ede9599c04daf7683b065abb2a47f893 | [
"MIT"
] | null | null | null | reports/migrations/0004_auto_20161126_1300.py | Daniel-Hoerauf/cs3240-f16-team11 | 0377bcb8ede9599c04daf7683b065abb2a47f893 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2016-11-26 18:00
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('reports', '0003_auto_20161126_1251'),
]
operations = [
migrations.AlterFiel... | 21.238095 | 48 | 0.61435 |
bce9221ecc1c444a518fad69cdd0a34ffb8409f3 | 26,198 | py | Python | Packs/BigFix/Integrations/BigFix/BigFix.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/BigFix/Integrations/BigFix/BigFix.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/BigFix/Integrations/BigFix/BigFix.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import requests
import demistomock as demisto
from CommonServerPython import *
requests.packages.urllib3.disable_warnings()
BASE_URL = demisto.params().get('url')
VERIFY_CERTIFICATE = not demisto.params().get('unsecure')
USERNAME = demisto.params()['credentials']['identifier']
PASSWORD = demisto.params()['credentia... | 32.994962 | 120 | 0.611802 |
d5d639e36646a1339b25563e9d4d9b0653575020 | 2,094 | py | Python | python/odml/scripts/rdf_subclass_query.py | mpsonntag/snippets | fc3cc42ea49b885c1f29c0aef1379055a931a978 | [
"BSD-3-Clause"
] | null | null | null | python/odml/scripts/rdf_subclass_query.py | mpsonntag/snippets | fc3cc42ea49b885c1f29c0aef1379055a931a978 | [
"BSD-3-Clause"
] | null | null | null | python/odml/scripts/rdf_subclass_query.py | mpsonntag/snippets | fc3cc42ea49b885c1f29c0aef1379055a931a978 | [
"BSD-3-Clause"
] | null | null | null | """
This script tests how to load an RDF file to an rdflib graph
and query the content.
Meant to test various additional libraries for their RDF inference/reasoning
since the basic rdflib implementation does not supply inference.
"""
import os
import pathlib
from odml.tools.rdf_converter import ODML_NS
from rdflib im... | 30.347826 | 90 | 0.755969 |
e6b9d2c51647ecead9eebc4b4098e090b921f11d | 1,502 | py | Python | Book/Python/speed-test.py | mrprogrammer2938/YouTube-Book | c56b8c02e0c7e3814c979d24b7f3719e6cf67f87 | [
"Apache-2.0"
] | null | null | null | Book/Python/speed-test.py | mrprogrammer2938/YouTube-Book | c56b8c02e0c7e3814c979d24b7f3719e6cf67f87 | [
"Apache-2.0"
] | null | null | null | Book/Python/speed-test.py | mrprogrammer2938/YouTube-Book | c56b8c02e0c7e3814c979d24b7f3719e6cf67f87 | [
"Apache-2.0"
] | null | null | null | # pip install tk-tools
# pip install speedtest-cli
from tkinter import *
from speedtest import Speedtest
class myapp(object):
def __init__(self):
super().__init__()
self.root = Tk()
self.root.title('Speed Test')
self.photo = PhotoImage(file = 'speedtest-logo.png')
self.s... | 25.033333 | 93 | 0.60719 |
e6bdc1483e40f3fa0e4a3a056981e4acef0deb00 | 842 | py | Python | Chapter6_Images/digitalImages.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | Chapter6_Images/digitalImages.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | Chapter6_Images/digitalImages.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | import numpy as np
from matplotlib import pyplot as plt
if __name__ == "__main__":
# Black/White Image (1d)
image = np.array(
[0, 1, 1, 1, 1, 1, 0, 0, 0, ],
dtype=np.uint8,
)
print(f"B/W (1D):\n{image}")
plt.imshow(image.reshape((3, 3)), cmap="gray")
plt.show()
# Grayscale... | 24.057143 | 56 | 0.454869 |
e6cc0cd68c8ac4033f41b0711170bbf7b4eac8ac | 3,565 | py | Python | Licence 1/I21/TP1/Parcours/parcours.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 8 | 2020-11-26T20:45:12.000Z | 2021-11-29T15:46:22.000Z | Licence 1/I21/TP1/Parcours/parcours.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | null | null | null | Licence 1/I21/TP1/Parcours/parcours.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 6 | 2020-10-23T15:29:24.000Z | 2021-05-05T19:10:45.000Z | #
# FIchier à compléter: parcours.py
#
# Chaque fonction retourne la liste des paires d'indices correspondant
# au parcours nommé.
#
def parcours_ligne(n):
"""Retourne la liste des indices (colonne,ligne) (!!attention ici
ligne et colonne sont inversées!!) des cases correspondant à un
parcours tableau de ... | 31.27193 | 86 | 0.568583 |
f8d3f0bb1482c289385a5c15e4bd66baa6b2d732 | 3,941 | py | Python | hisim/components/smart_controller.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | null | null | null | hisim/components/smart_controller.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | null | null | null | hisim/components/smart_controller.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | 1 | 2022-03-13T16:15:36.000Z | 2022-03-13T16:15:36.000Z | # Generic/Built-in
# Owned
from hisim.component import Component, SingleTimeStepValues, ComponentInput, ComponentOutput
from hisim.components.heat_pump import HeatPumpController
from hisim.components.ev_charger import EVChargerController
from typing import List
from hisim import loadtypes as lt
from abc import ABC, ab... | 49.2625 | 178 | 0.693733 |
9906763e94fc27ee5410e39af2ec715b155d9d80 | 897 | py | Python | Lec3.py | JSliman948/IA241 | 57e8441ed0a8236e08308c6ed18b7555d76fd739 | [
"MIT"
] | null | null | null | Lec3.py | JSliman948/IA241 | 57e8441ed0a8236e08308c6ed18b7555d76fd739 | [
"MIT"
] | null | null | null | Lec3.py | JSliman948/IA241 | 57e8441ed0a8236e08308c6ed18b7555d76fd739 | [
"MIT"
] | null | null | null | '''
Lec 3
'''
my_list = [1, 2, 3, 4, 5]
print(my_list)
my_nested_list = [1, 2, 3, my_list]
print(my_nested_list)
my_list[0] = 6
print(my_list)
print(my_list[0])
print(my_list[-1])
print(my_list[1])
print(my_list[1:3])
print(my_list[:3])
print(my_list[3:])
print(my_list[:])
x,y = ["a","b"]
print(x)
print(y)
my_list.appe... | 20.386364 | 43 | 0.698997 |
4adba5940057babc061d5488bbfdd500729c3c44 | 619 | py | Python | sdiff/renderer.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 3 | 2016-05-10T13:57:14.000Z | 2016-09-29T21:01:53.000Z | sdiff/renderer.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 3 | 2015-10-20T22:29:37.000Z | 2022-01-18T18:20:06.000Z | sdiff/renderer.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 1 | 2016-11-05T04:23:05.000Z | 2016-11-05T04:23:05.000Z | from sdiff.model import Root, Node
class HtmlRenderer(object):
def render(self, tree: Root):
result = tree.original(self)
return '<pre>\n%s\n</pre>' % result.strip()
def render_node(self, node, text):
if node.meta.get('style') == 'ins':
return '<ins>%s</ins>' % text
... | 23.807692 | 51 | 0.573506 |
37e09fc0e0321f89c627658b4921ded26ebd5ed6 | 222 | py | Python | datenfinder/gui/models.py | digitalfabrik/buergerinnendatenfinder | ff0a27b068f568e9e8c6a8a70b81251dbde0b7e6 | [
"Apache-2.0"
] | 2 | 2021-05-12T21:52:48.000Z | 2021-10-30T13:01:03.000Z | datenfinder/gui/models.py | digitalfabrik/buergerinnendatenfinder | ff0a27b068f568e9e8c6a8a70b81251dbde0b7e6 | [
"Apache-2.0"
] | null | null | null | datenfinder/gui/models.py | digitalfabrik/buergerinnendatenfinder | ff0a27b068f568e9e8c6a8a70b81251dbde0b7e6 | [
"Apache-2.0"
] | null | null | null | from django.db import models
class CitizenDate(models.Model):
type_hash = models.CharField(max_length=200)
date = models.DateTimeField('date published', auto_now=True)
owner = models.CharField(max_length=200)
| 31.714286 | 64 | 0.761261 |
72b7ffe81071bfaa75f4e3de8021259df2793b9d | 553 | py | Python | qmk_firmware/lib/python/qmk/cli/clean.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | qmk_firmware/lib/python/qmk/cli/clean.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | qmk_firmware/lib/python/qmk/cli/clean.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | """Clean the QMK firmware folder of build artifacts.
"""
from subprocess import DEVNULL
from qmk.commands import create_make_target
from milc import cli
@cli.argument('-a', '--all', arg_only=True, action='store_true', help='Remove *.hex and *.bin files in the QMK root as well.')
@cli.subcommand('Clean the QMK firmwa... | 36.866667 | 126 | 0.723327 |
f42a9106619d7856c21d4fd1550c35568e99f74e | 92 | py | Python | tests/onegov/town6/common.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/town6/common.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/town6/common.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null |
def step_class(page, step):
return page.pyquery(f'[data-step="{step}"]').attr('class')
| 23 | 62 | 0.652174 |
fe539f125dc5f1726d5a16d99da039050c9249ff | 842 | py | Python | solutions/item_based_recommend/service/src/search.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | 1 | 2021-01-11T18:40:22.000Z | 2021-01-11T18:40:22.000Z | solutions/item_based_recommend/service/src/search.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | null | null | null | solutions/item_based_recommend/service/src/search.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | null | null | null | import numpy as np
from bert_serving.client import BertClient
from src.milvus import milvus_search
from src.mysql_toolkits import search_by_milvus_ids, get_categories, get_texts_by_category
def do_search(query_text,index_client,conn,cursor,bc):
vec = bc.encode([query_text])
# vec = vec.tolist()
vec = [(... | 28.066667 | 91 | 0.73753 |
fe704c8db334644019c8c35b8974f08e72bcbe9d | 689 | py | Python | language/python/bokeh/test.py | mkmayank/quest | dbdde9e62c0b2c2b0cd5d16304793291d8400248 | [
"Apache-2.0"
] | null | null | null | language/python/bokeh/test.py | mkmayank/quest | dbdde9e62c0b2c2b0cd5d16304793291d8400248 | [
"Apache-2.0"
] | null | null | null | language/python/bokeh/test.py | mkmayank/quest | dbdde9e62c0b2c2b0cd5d16304793291d8400248 | [
"Apache-2.0"
] | null | null | null | from pylib.data_process.plotter import Plotter
import pandas as pd
import numpy as np
b = Plotter(basenames = 'SBIN,SBIN_FUT',
date = '20190913',
sep_scales = True,
book_depth = 10,
top_size = [10, 10],
models = ['MID', 'MID'],
o... | 24.607143 | 56 | 0.587808 |
fe0109ecbfe658237fcefb7b1ac548178ad899dc | 337 | py | Python | Python/Buch_ATBS/Teil_1/Kapitel_01_bis_04/03_lokaler_zu_globaler_variable.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | Python/Buch_ATBS/Teil_1/Kapitel_01_bis_04/03_lokaler_zu_globaler_variable.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Buch_ATBS/Teil_1/Kapitel_01_bis_04/03_lokaler_zu_globaler_variable.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | # Verwerten und Überschreiben von globalen und lokalen Variablen
def chgglob():
global var # Variable von Funktion an globale Variable übergeben
var = 'Overwritten'
def locvar():
var = 'Wrong method' # Lokale, nur für diese Funktion gültige Variable
var = 'Overwrite me'
print(var)
chgglob()
loc... | 22.466667 | 78 | 0.709199 |
4ab007565a15e91f490819aa12c2baf6016987f4 | 3,694 | py | Python | oneflow/python/test/ops/test_initializer.py | ncnnnnn/oneflow | f6e81f65eed1d87c3125e7a78247cfaa72220020 | [
"Apache-2.0"
] | 2 | 2021-09-10T00:19:49.000Z | 2021-11-16T11:27:20.000Z | oneflow/python/test/ops/test_initializer.py | duijiudanggecl/oneflow | d2096ae14cf847509394a3b717021e2bd1d72f62 | [
"Apache-2.0"
] | null | null | null | oneflow/python/test/ops/test_initializer.py | duijiudanggecl/oneflow | d2096ae14cf847509394a3b717021e2bd1d72f62 | [
"Apache-2.0"
] | null | null | null | """
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... | 32.403509 | 85 | 0.664862 |
600d83478184e525ae90f0cc7388c2a949da6613 | 364 | py | Python | lintcode/153-159-Find-Minimum-in-Rotated-Sorted-Array/FindMinimuminRotatedSortedArray.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | lintcode/153-159-Find-Minimum-in-Rotated-Sorted-Array/FindMinimuminRotatedSortedArray.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | lintcode/153-159-Find-Minimum-in-Rotated-Sorted-Array/FindMinimuminRotatedSortedArray.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution:
# @param num: a rotated sorted array
# @return: the minimum number in the array
def findMin(self, num):
# write your code here
l, r = 0, len(num) - 1
while l <= r:
m = (l + r) / 2
if num[m] < num[r]:
r = m
else:
... | 26 | 46 | 0.428571 |
60af33e362d942f91f8b01a1220625aaea6b06c6 | 1,460 | py | Python | Packs/MalwareInvestigationAndResponse/Scripts/InvestigationSummaryToTable/InvestigationSummaryToTable_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 1 | 2021-11-02T05:36:38.000Z | 2021-11-02T05:36:38.000Z | Packs/MalwareInvestigationAndResponse/Scripts/InvestigationSummaryToTable/InvestigationSummaryToTable_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 61 | 2021-10-07T08:54:38.000Z | 2022-03-31T10:25:35.000Z | Packs/MalwareInvestigationAndResponse/Scripts/InvestigationSummaryToTable/InvestigationSummaryToTable_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | import json
from pathlib import Path
from InvestigationSummaryToTable import Result, get_findings, findings_to_command_results
TEST_DATA_DIR = Path(__file__).parent / 'test_data'
def _load_test_file(file_name: str):
return json.loads((TEST_DATA_DIR / file_name).read_text())
def _dump_test_file(file_name: str,... | 37.435897 | 105 | 0.714384 |
8810241a7e0b16064b6fe1f39d3d7a632835f1e9 | 77 | py | Python | python/coursera_python/TORONTO/test/9.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/coursera_python/TORONTO/test/9.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/coursera_python/TORONTO/test/9.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | values = []
for num in range(1, 3):
values.append(num * 3)
print(values)
| 15.4 | 26 | 0.623377 |
71715a7b728e996e7ed57fa768fe715935382949 | 12,162 | py | Python | TEG/current_works/Steiner Tree/steiner.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 10 | 2020-12-08T20:18:15.000Z | 2021-06-07T20:00:07.000Z | TEG/current_works/Steiner Tree/steiner.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 2 | 2021-06-28T03:42:13.000Z | 2021-06-28T16:53:13.000Z | TEG/current_works/Steiner Tree/steiner.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 2 | 2021-01-14T19:59:20.000Z | 2021-06-15T11:53:21.000Z | import collections
import itertools
import random
from pprint import pprint
import graphviz
import time
################################################
# Autores: Vinicius Gasparini e Filipe Cattoni
# Nome: Arvore de Steiner
################################################
# Estruturas:
# Node: str
# Graph: {N... | 31.426357 | 104 | 0.523269 |
718fd6ebc8f3591edf9c7ce5ee97a2b0ce0239a6 | 3,300 | py | Python | src/test/tests/databases/singlemulti.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/tests/databases/singlemulti.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/databases/singlemulti.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: singlemulti.py
#
# Tests: mesh - 3D, curvilinear, single domain
# plots - Pseudocolor
# databases - Silo
#
# Purpose: This test case tests the ability of VisIt... | 28.448276 | 78 | 0.664242 |
1ce402500829f9e4527b2947111b3bd9f8de155e | 4,205 | py | Python | research/cv/TNT/src/pet_dataset.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 2 | 2021-07-08T13:10:42.000Z | 2021-11-08T02:48:57.000Z | research/cv/TNT/src/pet_dataset.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | null | null | null | research/cv/TNT/src/pet_dataset.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 2 | 2019-09-01T06:17:04.000Z | 2019-10-04T08:39:45.000Z | # 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... | 42.908163 | 103 | 0.657551 |
e81efaa834aa296567b0e80b825772fdec8a1c0a | 4,838 | py | Python | paper_evaluation/IV.F_sensitivity_geographic_location/testWithLocError.py | rafaspadilha/timestampVerificationTIFS | bad325e676b0b6087e54f2e280c3600c3b0b767f | [
"MIT"
] | 5 | 2022-03-11T18:08:32.000Z | 2022-03-31T13:47:49.000Z | paper_evaluation/IV.F_sensitivity_geographic_location/testWithLocError.py | rafaspadilha/timestampVerificationTIFS | bad325e676b0b6087e54f2e280c3600c3b0b767f | [
"MIT"
] | null | null | null | paper_evaluation/IV.F_sensitivity_geographic_location/testWithLocError.py | rafaspadilha/timestampVerificationTIFS | bad325e676b0b6087e54f2e280c3600c3b0b767f | [
"MIT"
] | null | null | null | #####################################################
# Content-Aware Detection of Timestamp Manipulation #
# IEEE Trans. on Information Forensics and Security #
# R. Padilha, T. Salem, S. Workman, #
# F. A. Andalo, A. Rocha, N. Jacobs #
##################################################... | 28.458824 | 115 | 0.627325 |
c7100262698b15aaa5b036cfc4738a1cde74613f | 1,485 | py | Python | retro/cores/gba/src/platform/python/cinema/movie.py | MatPoliquin/retro | c70c174a9818d1e97bc36e61abb4694d28fc68e1 | [
"MIT-0",
"MIT"
] | 2,706 | 2018-04-05T18:28:50.000Z | 2022-03-29T16:56:59.000Z | retro/cores/gba/src/platform/python/cinema/movie.py | MatPoliquin/retro | c70c174a9818d1e97bc36e61abb4694d28fc68e1 | [
"MIT-0",
"MIT"
] | 242 | 2018-04-05T22:30:42.000Z | 2022-03-19T01:55:11.000Z | retro/cores/gba/src/platform/python/cinema/movie.py | MatPoliquin/retro | c70c174a9818d1e97bc36e61abb4694d28fc68e1 | [
"MIT-0",
"MIT"
] | 464 | 2018-04-05T19:10:34.000Z | 2022-03-28T13:33:32.000Z | from mgba.image import Image
from collections import namedtuple
from . import VideoFrame
Output = namedtuple('Output', ['video'])
class Tracer(object):
def __init__(self, core):
self.core = core
self.fb = Image(*core.desiredVideoDimensions())
self.core.setVideoBuffer(self.fb)
self.... | 30.9375 | 75 | 0.550168 |
c71ac6ac6ddbdd8a32e8e8ec29e226cddb3c8d00 | 1,484 | py | Python | src/onegov/wtfs/forms/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/wtfs/forms/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/wtfs/forms/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.wtfs.forms.daily_list import DailyListSelectionForm
from onegov.wtfs.forms.invoice import CreateInvoicesForm
from onegov.wtfs.forms.municipality import DeleteMunicipalityDatesForm
from onegov.wtfs.forms.municipality import ImportMunicipalityDataForm
from onegov.wtfs.forms.municipality import MunicipalityFor... | 38.051282 | 70 | 0.822102 |
90baeeb82304a24a03dd16e9b7992f885a54899b | 1,247 | py | Python | SOP/05/uebung.py | chfrank-cgn/FOM | 72ada98bb287b00807911a070a390964b681f099 | [
"CC-BY-4.0"
] | null | null | null | SOP/05/uebung.py | chfrank-cgn/FOM | 72ada98bb287b00807911a070a390964b681f099 | [
"CC-BY-4.0"
] | null | null | null | SOP/05/uebung.py | chfrank-cgn/FOM | 72ada98bb287b00807911a070a390964b681f099 | [
"CC-BY-4.0"
] | null | null | null | import os
# Open logfile
try:
logfile = open("node_13.81.173.84_09.log", "r", encoding="utf-8")
except (IOError) as e:
print("File open error", e.args[1])
os.exit(1)
# Uebung 1
loglist = logfile.readlines()
print("Number of lines:", len(loglist))
print("First ten entries: \n", loglist[:10])
# Close logfile
log... | 21.5 | 73 | 0.609463 |
46524bfe3fdb2c12b030eab6d8833271d3278421 | 1,363 | py | Python | server.py | SUMSC/SudaSSO | cd33e899a1e538903835a3568182ce3825405c8d | [
"MIT"
] | null | null | null | server.py | SUMSC/SudaSSO | cd33e899a1e538903835a3568182ce3825405c8d | [
"MIT"
] | null | null | null | server.py | SUMSC/SudaSSO | cd33e899a1e538903835a3568182ce3825405c8d | [
"MIT"
] | null | null | null | from gevent import monkey
monkey.patch_all()
import falcon
from app.sso import checkMyauth
import ujson as json
with open('.hash.conf','r') as fp:
passwd=json.load(fp)['pass']
keys=set(['id_tag','secret','timestamp'])
# checkMyauth(id_tag: str, secret: str, clienttime: str, passwd: str) -> bool
class sudaaut... | 32.452381 | 99 | 0.647102 |
d3d60ac51d67efb2c695c957b76bb60e9f275dc1 | 221 | py | Python | STIX/getCount.py | EnjoyFitness92/Praxisseminar-SS2020 | b5baba5d1512a5fad3391efc42f3ab232d79c4e2 | [
"MIT"
] | null | null | null | STIX/getCount.py | EnjoyFitness92/Praxisseminar-SS2020 | b5baba5d1512a5fad3391efc42f3ab232d79c4e2 | [
"MIT"
] | 2 | 2020-06-24T13:01:22.000Z | 2020-06-24T13:10:07.000Z | STIX/getCount.py | EnjoyFitness92/Praxisseminar-SS2020 | b5baba5d1512a5fad3391efc42f3ab232d79c4e2 | [
"MIT"
] | null | null | null | # Funktion die abprüft wie oft das Elementenpaar in der Liste vorkommt
def getCount(e3, e1, e2, liste):
c = 0
for e in liste:
if e1 in e[3] and e2 in e[2] and e3 in e[1]:
c += 1
return c
| 22.1 | 70 | 0.579186 |
310247a70e2a994414ac7dcf170099b693fd08df | 382 | py | Python | cs/lambda_cs/06_graphs/notes/islands/island_generator.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | cs/lambda_cs/06_graphs/notes/islands/island_generator.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | 8 | 2020-03-24T17:47:23.000Z | 2022-03-12T00:33:21.000Z | cs/lambda_cs/06_graphs/notes/islands/island_generator.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null |
import random
def generate_island_matrix(width, height, density):
matrix = []
for h in range(height):
matrix.append([0] * width)
for x in range(width):
for y in range(height):
print(random.random() < density)
if random.random() < density:
matrix[y]... | 25.466667 | 51 | 0.58377 |
3114179435ef6f985b271a252fb0c5d7eac0fc13 | 4,948 | py | Python | venv/Lib/site-packages/pynance/data/feat.py | LeonardoHMS/imobi | 6b2b97a05df67ea7d493f7b601382f65c6629cc2 | [
"MIT"
] | 35 | 2015-03-12T04:16:14.000Z | 2020-12-17T18:10:15.000Z | venv/Lib/site-packages/pynance/data/feat.py | LeonardoHMS/imobi | 6b2b97a05df67ea7d493f7b601382f65c6629cc2 | [
"MIT"
] | 31 | 2015-03-16T21:31:04.000Z | 2021-01-26T00:12:34.000Z | venv/Lib/site-packages/pynance/data/feat.py | LeonardoHMS/imobi | 6b2b97a05df67ea7d493f7b601382f65c6629cc2 | [
"MIT"
] | 18 | 2015-09-30T10:40:26.000Z | 2021-01-25T21:20:44.000Z | """
.. Copyright (c) 2014 Marshall Farrier
license http://opensource.org/licenses/MIT
Data - building features (:mod:`pynance.data.feat`)
==============================================================
.. currentmodule:: pynance.data.feat
These functions are intended to be used in conjunction
with `functools.parti... | 33.890411 | 107 | 0.644907 |
31b520a8cc65005686a9f05d261bdc9b8ab24d9b | 326 | py | Python | pacman-arch/test/pacman/tests/sync300.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/tests/sync300.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/tests/sync300.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "Sync with corrupt database (broken deps)"
sp1 = pmpkg("pkg1")
sp1.depends = ["pkg2=1.1"]
self.addpkg2db("sync", sp1)
sp2 = pmpkg("pkg2", "1.0-1")
self.addpkg2db("sync", sp2)
self.args = "-S %s" % sp1.name
self.addrule("PACMAN_RETCODE=1")
self.addrule("!PKG_EXIST=pkg1")
self.addrule("!PKG_EXIST=p... | 21.733333 | 61 | 0.680982 |
b421d65cdc82655aae546a2a74e15ac048dc8550 | 1,372 | py | Python | python/python_new/Python 3/sine.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/python_new/Python 3/sine.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/python_new/Python 3/sine.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | from pylab import *
from math import atan2
def fitSine(tList,yList,freq):
'''
freq in Hz
tList in sec
returns
phase in degrees
'''
b = matrix(yList).T
rows = [ [sin(freq*2*pi*t), cos(freq*2*pi*t), 1] for t in tList]
A = matrix(rows)
(w,residuals,rank,sing_vals) = lstsq(A,b)
... | 29.191489 | 76 | 0.643586 |
8179659dfe689c120667eb17a416d7886a2508e3 | 1,293 | py | Python | tests/test_sdiff.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 3 | 2016-05-10T13:57:14.000Z | 2016-09-29T21:01:53.000Z | tests/test_sdiff.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 3 | 2015-10-20T22:29:37.000Z | 2022-01-18T18:20:06.000Z | tests/test_sdiff.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 1 | 2016-11-05T04:23:05.000Z | 2016-11-05T04:23:05.000Z | from unittest import TestCase
import os
import sdiff
from pathlib import Path
from sdiff import ZendeskHelpMdParser
def _load_fixture(*path):
return open(os.path.join('tests/fixtures', *path)).read()
def _read_test_files(dirpath):
path = Path(os.path.join('tests/fixtures', dirpath))
filenames = set(f.... | 33.153846 | 111 | 0.591647 |
481b8c6a67b99aa109a10d80ec0f071bc38ebd6a | 910 | py | Python | reverse/HolyGrenade/script.py | killua4564/2019-AIS3-preexam | b13b5c9d3a2ec8beef7cca781154655bb51605e3 | [
"MIT"
] | 1 | 2019-06-15T11:45:41.000Z | 2019-06-15T11:45:41.000Z | reverse/HolyGrenade/script.py | killua4564/2019-AIS3-preexam | b13b5c9d3a2ec8beef7cca781154655bb51605e3 | [
"MIT"
] | null | null | null | reverse/HolyGrenade/script.py | killua4564/2019-AIS3-preexam | b13b5c9d3a2ec8beef7cca781154655bb51605e3 | [
"MIT"
] | null | null | null | import string
import itertools
from hashlib import md5
A = string.printable[:-5]
flag = u"""ba3a7f3bd92a5d418f5e16886db62674
33e4500b205b80e52dd52e796cba8b7d
7d1c09bbf2025facf6bd0fec0ec6a780
9cedd8dee7b5b87838d7a9bed76df8e5
764d30cb4807c5a870a47b53be6cf662
f1e8fda6c3ff87e43905ea1690624c64
d7939cb11edaa9b1fb05efb4e294... | 24.594595 | 48 | 0.728571 |
4840b199d940df8074731ad41bcb9fabf67d0870 | 4,018 | py | Python | kollektiv5gui/generators/SpammingGenerator.py | MateRyze/InformatiCup-2019 | eeca3ff7f8a102f4093697c6badee21ce25e2e87 | [
"MIT"
] | 3 | 2019-03-21T17:02:55.000Z | 2019-04-04T18:16:10.000Z | kollektiv5gui/generators/SpammingGenerator.py | MateRyze/InformatiCup-2019 | eeca3ff7f8a102f4093697c6badee21ce25e2e87 | [
"MIT"
] | 11 | 2019-10-30T12:05:39.000Z | 2022-03-11T23:43:54.000Z | kollektiv5gui/generators/SpammingGenerator.py | MateRyze/InformatiCup-2019 | eeca3ff7f8a102f4093697c6badee21ce25e2e87 | [
"MIT"
] | 1 | 2019-10-30T12:04:00.000Z | 2019-10-30T12:04:00.000Z | import requests
import os
import tempfile
import math
import time
import random
import copy
import json
import io
from PIL import Image, ImageDraw
from kollektiv5gui.util import api, logging
from kollektiv5gui.generators.AbstractGenerator import AbstractGenerator
class SpammingGenerator(AbstractGenerator):
"""
... | 29.115942 | 77 | 0.574913 |
6f7f6d08796da434d094c5dc6f72df153c8b810b | 849 | py | Python | Utils/py/text2speech/text-to-speach.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | 15 | 2015-01-12T10:46:29.000Z | 2022-03-28T05:13:14.000Z | Utils/py/text2speech/text-to-speach.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2019-01-20T21:07:50.000Z | 2020-01-22T14:00:28.000Z | Utils/py/text2speech/text-to-speach.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | 5 | 2018-02-07T18:18:10.000Z | 2019-10-15T17:01:41.000Z | #!/usr/bin/python
# imports
import naoqi
import argparse
import random
parser = argparse.ArgumentParser(description='Text-to-speech')
parser.add_argument('text', help='Text (string) that should be converted to speech.')
args = parser.parse_args()
print args
if args.text:
# init text-to-speech module
tts = naoqi.A... | 26.53125 | 85 | 0.712603 |
6fa4bdbf2aee112a7dc13443cd08d186cdcd855a | 1,098 | py | Python | exercises/de/solution_02_15.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/de/solution_02_15.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/de/solution_02_15.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
from spacy.matcher import PhraseMatcher
from spacy.tokens import Span
import json
with open("exercises/de/countries.json", encoding="utf8") as f:
COUNTRIES = json.loads(f.read())
with open("exercises/de/country_text.txt", encoding="utf8") as f:
TEXT = f.read()
nlp = spacy.load("de_core_news_sm")
... | 31.371429 | 74 | 0.712204 |
d2291f5768a53fd1cd8e5ab8112191582895451e | 97 | py | Python | Caffe/net.py | JasperMorrison/PytorchToCaffe | 04f0066cdc8a9da92591d7361907c3ea53271707 | [
"MIT"
] | 794 | 2018-09-06T07:38:41.000Z | 2022-03-16T06:30:37.000Z | Caffe/net.py | JasperMorrison/PytorchToCaffe | 04f0066cdc8a9da92591d7361907c3ea53271707 | [
"MIT"
] | 111 | 2018-12-04T11:18:27.000Z | 2022-03-31T07:39:11.000Z | Caffe/net.py | JasperMorrison/PytorchToCaffe | 04f0066cdc8a9da92591d7361907c3ea53271707 | [
"MIT"
] | 221 | 2018-11-22T08:11:03.000Z | 2022-03-16T07:11:43.000Z | raise ImportError,'the nn_tools.Caffe.net is no longer used, please use nn_tools.Caffe.caffe_net' | 97 | 97 | 0.824742 |
fbd0d47bc962ad8da6f698a002939f91faf2ed97 | 3,207 | py | Python | PyStellar/stellar/psguser/views.py | psgstellar/Stellar | 947d4b3d9d6b9c74d4c9ebd29683793a8d86fad2 | [
"Apache-2.0"
] | 3 | 2021-01-24T17:07:55.000Z | 2021-02-20T20:11:13.000Z | PyStellar/stellar/psguser/views.py | psgstellar/Stellar | 947d4b3d9d6b9c74d4c9ebd29683793a8d86fad2 | [
"Apache-2.0"
] | 61 | 2021-01-10T12:59:01.000Z | 2021-06-24T09:19:20.000Z | PyStellar/stellar/psguser/views.py | psgstellar/Stellar | 947d4b3d9d6b9c74d4c9ebd29683793a8d86fad2 | [
"Apache-2.0"
] | 1 | 2021-01-14T05:23:32.000Z | 2021-01-14T05:23:32.000Z | from drf_yasg import openapi
from drf_yasg.utils import swagger_auto_schema
from rest_framework.generics import ListAPIView
from rest_framework.permissions import AllowAny
from rest_framework.response import Response
from rest_framework.views import APIView
from psguser.psgSerializer import psgserializer
from psguser... | 29.694444 | 81 | 0.522607 |
f7aba1a0aeb872d831b7fb0155592d13c2a26585 | 3,351 | py | Python | autojail/config/board_info.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 6 | 2020-08-12T08:16:15.000Z | 2022-03-05T02:25:53.000Z | autojail/config/board_info.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-03-30T10:34:51.000Z | 2021-06-09T11:24:00.000Z | autojail/config/board_info.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-11-21T09:30:58.000Z | 2021-11-21T09:30:58.000Z | from typing import Tuple
from ..model import (
Board,
HexInt,
IntegerList,
IRQChip,
JailhouseConfig,
PlatformInfo,
PlatformInfoArm,
)
from ..utils.logging import getLogger
from .passes import BasePass
class TransferBoardInfoPass(BasePass):
def __init__(self) -> None:
self.logg... | 32.852941 | 78 | 0.5661 |
f72bda1f9861b327f93273a74d2beaf0c1884dd9 | 1,026 | py | Python | INBa/2015/Sarocvashin_M/task_4_23.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/Sarocvashin_M/task_4_23.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/Sarocvashin_M/task_4_23.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 4. Вариант 23
# Напишите программу, которая выводит имя, под которым скрывается Илья Арнольдович Файзильберг. Дополнительно необходимо вывести область интересов указанной личности, место рождения, годы рождения и смерти (если человек умер), вычислить возраст на данный момент (или момент смерти). Для хранения в... | 46.636364 | 449 | 0.783626 |
f763eee82b463be774a2732d917809592a132c79 | 5,084 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/storage/netapp/test_netapp_e_syslog.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/storage/netapp/test_netapp_e_syslog.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/storage/netapp/test_netapp_e_syslog.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | # (c) 2018, NetApp Inc.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from ansible_collections.community.general.plugins.modules.storage.netapp.netapp_e_syslog import Syslog
from ansible_collections.community.general.tests.unit.modules.utils import AnsibleFailJson, Module... | 41 | 123 | 0.54406 |
f7a0ceeda6a28240bf30dcedf1add00a49c53c66 | 197 | py | Python | src/onegov/event/collections/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/event/collections/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/event/collections/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.event.collections.events import EventCollection
from onegov.event.collections.occurrences import OccurrenceCollection
__all__ = (
'EventCollection',
'OccurrenceCollection',
)
| 21.888889 | 69 | 0.80203 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.