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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
512a494d92fbf1e23d34b24734f317d3aec4e3c3 | 1,458 | py | Python | python/coursera_python/MICHIGAN/WEB/test/re_1.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/coursera_python/MICHIGAN/WEB/test/re_1.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/coursera_python/MICHIGAN/WEB/test/re_1.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | # To use the re function
import re
hand = open('test.txt')
for line in hand:
line=line.rstrip()
# To find if a line contains a 'from' and print it
if re.search("from",line):
print("\nTo find if a line contains a 'from' and print it\n")
print(line)
# To find if the line starts... | 29.16 | 125 | 0.654321 |
5138951bcd0c69061f2809b634041058061897c2 | 1,038 | py | Python | checklisten/tests/test_urls.py | mribrgr/StuRa-Mitgliederdatenbank | 87a261d66c279ff86056e315b05e6966b79df9fa | [
"MIT"
] | 8 | 2019-11-26T13:34:46.000Z | 2021-06-21T13:41:57.000Z | src/checklisten/tests/test_urls.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | 93 | 2019-12-16T09:29:10.000Z | 2021-04-24T12:03:33.000Z | src/checklisten/tests/test_urls.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | 2 | 2020-12-03T12:43:19.000Z | 2020-12-22T21:48:47.000Z | from django.test import SimpleTestCase
from django.urls import reverse, resolve
from checklisten.views import *
class TestUrls(SimpleTestCase):
def test_main_screen_url_resolves(self):
url = reverse('checklisten:main_screen')
self.assertEqual(resolve(url).func, main_screen)
def test_abhaken_ur... | 31.454545 | 59 | 0.702312 |
7a216ac140a8792d415caca521c5845aad159a3a | 471 | py | Python | Packs/MajorBreachesInvestigationandResponse/Scripts/RapidBreachResponseParseBlog/RapidBreachResponseParseBlog.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/MajorBreachesInvestigationandResponse/Scripts/RapidBreachResponseParseBlog/RapidBreachResponseParseBlog.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/MajorBreachesInvestigationandResponse/Scripts/RapidBreachResponseParseBlog/RapidBreachResponseParseBlog.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto # noqa: F401
from bs4 import BeautifulSoup
from CommonServerPython import * # noqa: F401
args = demisto.args()
response = requests.get(args.get("url"))
soup = BeautifulSoup(response.content, "html.parser")
article = soup.find("article").get_text()
_, article = article.split("Phishing Em... | 36.230769 | 93 | 0.749469 |
8fe9124ccbaa7c4af6dca4b2a0eeaa3e566dc3cb | 2,723 | py | Python | software/supervisor/receiver.py | ghsecuritylab/project-powerline | 6c0ec13bbfc11c3790c506f644db4fe45021440a | [
"MIT"
] | null | null | null | software/supervisor/receiver.py | ghsecuritylab/project-powerline | 6c0ec13bbfc11c3790c506f644db4fe45021440a | [
"MIT"
] | null | null | null | software/supervisor/receiver.py | ghsecuritylab/project-powerline | 6c0ec13bbfc11c3790c506f644db4fe45021440a | [
"MIT"
] | 1 | 2020-03-08T01:50:58.000Z | 2020-03-08T01:50:58.000Z | # imports
import time
from database import Panels, Strings, session, panels, strings
# todo While Schleife mit delay und Abfrage beim IC oder falls moeglich auf Meldung von IC warten ob neue Daten gekommen sind
# todo ev. Interrupt um angekickt zu werden
# todo Wenn Daten gekommen sind:
# todo I^2C entschluesseln
# ... | 34.0375 | 161 | 0.739258 |
8f4f0e1d3e25244ee885910263b3f5f9b211e497 | 443 | py | Python | marsyas-vamp/marsyas/src/django/birdsong/application/birdsong/annotations/models.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/django/birdsong/application/birdsong/annotations/models.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/django/birdsong/application/birdsong/annotations/models.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | from django.db import models
from recordings.models import Recording
# Create your models here.
class Annotation(models.Model):
start_time_ms = models.IntegerField(default = 0)
end_time_ms = models.IntegerField(default = 0)
label = models.CharField(max_length = 200)
recording = models.ForeignKey(Recor... | 31.642857 | 90 | 0.724605 |
8efc21fb05db623003cc35301755f8de360a8752 | 1,631 | py | Python | examples/example_sma.py | NewLanded/swbt | 8b8e8609cea060d6f124dc3c4bd99cb6243501dc | [
"Apache-2.0"
] | null | null | null | examples/example_sma.py | NewLanded/swbt | 8b8e8609cea060d6f124dc3c4bd99cb6243501dc | [
"Apache-2.0"
] | null | null | null | examples/example_sma.py | NewLanded/swbt | 8b8e8609cea060d6f124dc3c4bd99cb6243501dc | [
"Apache-2.0"
] | 1 | 2019-11-28T16:29:49.000Z | 2019-11-28T16:29:49.000Z | """简单移动平均线示例, 五日线上穿十日线则买入, 五日线下穿十日线则卖出"""
import datetime
import talib as ta
import pandas as pd
from core.back_test import BackTest
class MyBackTest(BackTest):
def sizer(self):
if self.bs_flag == "B":
self.trans_amount = (self.cash // (self.price + self.commission)) // 2
elif self.bs... | 39.780488 | 191 | 0.6168 |
f10f3b720844b90f3b1df10b6533c22bada595b9 | 45 | py | Python | src/cory/dao/reminder_dao.py | MBogert/ReminderCory | a687c70a12f49a807d9fb023d45f799292a37f26 | [
"MIT"
] | null | null | null | src/cory/dao/reminder_dao.py | MBogert/ReminderCory | a687c70a12f49a807d9fb023d45f799292a37f26 | [
"MIT"
] | null | null | null | src/cory/dao/reminder_dao.py | MBogert/ReminderCory | a687c70a12f49a807d9fb023d45f799292a37f26 | [
"MIT"
] | null | null | null |
class ReminderDao:
def __init__(self):
| 9 | 20 | 0.688889 |
f14aef6c02208f9e4ddc9f53a91f3a6e7a0f08dd | 17,550 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/contributed/sumopy/agilepy/lib_wx/toolbox.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/sumopy/agilepy/lib_wx/toolbox.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/sumopy/agilepy/lib_wx/toolbox.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | # Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2016-2020 German Aerospace Center (DLR) and others.
# SUMOPy module
# Copyright (C) 2012-2017 University of Bologna - DICAM
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public ... | 32.025547 | 117 | 0.591909 |
f180725a67e0f18a5aa21168ec71ba46b0daf5cf | 331 | py | Python | Problems/Dynamic Programming/Easy/MinCostClimbingStair/climbing_stairs.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Problems/Dynamic Programming/Easy/MinCostClimbingStair/climbing_stairs.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Dynamic Programming/Easy/MinCostClimbingStair/climbing_stairs.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from typing import List
def minCostClimbingStairs(cost: List[int]) -> int:
n = len(cost)
if not cost:
return 0
dt = [0 for _ in range(n)]
dt[0] = cost[0]
if n >= 2:
dt[1] = cost[1]
for i in range(2, n):
dt[i] = cost[i] + min(dt[i - 1], dt[i - 2])
return min(dt[-... | 18.388889 | 51 | 0.495468 |
24779c38d7ae66ffe9af7faafd5076fef8341abb | 7,520 | py | Python | x2paddle/optimizer/pytorch_code_optimizer/subgraphs_union.py | usertianqin/X2Paddle | b554a8094ca3e255ef4bd2e80337222a35625133 | [
"Apache-2.0"
] | 559 | 2019-01-14T06:01:55.000Z | 2022-03-31T02:52:43.000Z | x2paddle/optimizer/pytorch_code_optimizer/subgraphs_union.py | usertianqin/X2Paddle | b554a8094ca3e255ef4bd2e80337222a35625133 | [
"Apache-2.0"
] | 353 | 2019-05-07T13:20:03.000Z | 2022-03-31T05:30:12.000Z | x2paddle/optimizer/pytorch_code_optimizer/subgraphs_union.py | usertianqin/X2Paddle | b554a8094ca3e255ef4bd2e80337222a35625133 | [
"Apache-2.0"
] | 241 | 2018-12-25T02:13:51.000Z | 2022-03-27T23:21:43.000Z | # -*- coding:UTF-8 -*-
# Copyright (c) 2020 PaddlePaddle 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
#
# ... | 48.205128 | 132 | 0.63484 |
3b29ff066ca13ce397f305f577e8cb4642dbca08 | 1,793 | py | Python | python/en/archive/topics/command_line_arguments/TODOs/04-cmd_line_args_parsing2.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/topics/command_line_arguments/TODOs/04-cmd_line_args_parsing2.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/topics/command_line_arguments/TODOs/04-cmd_line_args_parsing2.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import sys, getopt
def usage():
print("usage: python3 04-cmd_line_args_parsing2.py arg1 arg2 arg3")
def print_opts():
print("file_name =", file_name )
print("argc =", argc )
print("argv =", argv )
print("opts =", opts )
print("args =", args )
print("input_file... | 26.367647 | 88 | 0.560513 |
3b7ea78abb9f5498d5b75b4c449c53937d1747fe | 358 | py | Python | 05_fibinacci/example.py | wuyueCreator/python-test | 6072ac9264a257c89925469238c14fff3bda5630 | [
"MIT"
] | 1 | 2019-03-25T03:44:54.000Z | 2019-03-25T03:44:54.000Z | 05_fibinacci/example.py | wuyueCreator/python-test | 6072ac9264a257c89925469238c14fff3bda5630 | [
"MIT"
] | null | null | null | 05_fibinacci/example.py | wuyueCreator/python-test | 6072ac9264a257c89925469238c14fff3bda5630 | [
"MIT"
] | null | null | null | import math
import profile
def fibonacci(n):
return int(1 / math.sqrt(5) * (((1 + math.sqrt(5)) / 2) ** n - ((1 - math.sqrt(5)) / 2) ** n))
def fibonacci2(n):
a, b = 0, 1
while n:
a, b = b, a + b
n -= 1
return a
def main():
fibonacci(1474)
fibonacci2(1474)
if __name__ == ... | 14.916667 | 98 | 0.511173 |
d9723e9a68baa8f046126f72a03c5da9b45f1837 | 576 | py | Python | rabbitmq/tutorial/new_task.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | rabbitmq/tutorial/new_task.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | rabbitmq/tutorial/new_task.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | import sys
import pika
credentials = pika.PlainCredentials('admin', '1q2w3e')
parameters = pika.ConnectionParameters('192.168.1.197', 5672, '/', credentials)
connection = pika.BlockingConnection(parameters)
channel = connection.channel()
channel.queue_declare(queue='task_queue', durable=True)
message = ' '.join(sys.... | 28.8 | 79 | 0.729167 |
8db51bc16dbab990ff9228de53b1906a0da4969e | 8,392 | py | Python | defis/helper.py | lehr-laemp/kiga-webapp-V2 | 1d35dd1deb82962e166169245fa0d4e5f265af22 | [
"Unlicense"
] | null | null | null | defis/helper.py | lehr-laemp/kiga-webapp-V2 | 1d35dd1deb82962e166169245fa0d4e5f265af22 | [
"Unlicense"
] | null | null | null | defis/helper.py | lehr-laemp/kiga-webapp-V2 | 1d35dd1deb82962e166169245fa0d4e5f265af22 | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Begonnen am 12.03.2022
@author: HM
helper.py
- alle nötigen Funktionen
"""
# ---------------------------------------------------------
import datetime
import os
import pickle
import shutil
import smtplib # für Mail
import ssl # für Mail
from email.message import EmailMessage
f... | 27.605263 | 97 | 0.596163 |
d68f402a96a70f5e448461903c08393ab7d4363c | 1,628 | py | Python | solutions/pedestrian_search/webserver/src/service/models/model.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | 1 | 2021-04-06T06:13:20.000Z | 2021-04-06T06:13:20.000Z | solutions/pedestrian_search/webserver/src/service/models/model.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | null | null | null | solutions/pedestrian_search/webserver/src/service/models/model.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | null | null | null | import torch.nn as nn
from .bi_lstm import BiLSTM
from .mobilenet import MobileNetV1
from .resnet import resnet50
class Model(nn.Module):
def __init__(self, args):
super(Model, self).__init__()
if args.image_model == 'mobilenet_v1':
self.image_model = MobileNetV1()
self.ima... | 36.177778 | 101 | 0.679361 |
ba9499f6452662b5f5c804d2f00576ceace5f45e | 25,166 | py | Python | hihope_neptune-oh_hid/00_src/v0.1/third_party/LVM2/daemons/lvmdbusd/lv.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | 1 | 2022-02-15T08:51:55.000Z | 2022-02-15T08:51:55.000Z | hihope_neptune-oh_hid/00_src/v0.3/third_party/LVM2/daemons/lvmdbusd/lv.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | hihope_neptune-oh_hid/00_src/v0.3/third_party/LVM2/daemons/lvmdbusd/lv.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2015-2016 Red Hat, Inc. All rights reserved.
#
# This copyrighted material is made available to anyone wishing to use,
# modify, copy, or redistribute it subject to the terms and conditions
# of the GNU General Public License v.2.
#
# You should have received a copy of the GNU General Public License
# a... | 30.247596 | 79 | 0.710522 |
036fb7b6cbbad0bc47fd87c70ccf51053854b213 | 548 | py | Python | jumeaux/addons/models.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 11 | 2017-10-02T01:29:12.000Z | 2022-03-31T08:37:22.000Z | jumeaux/addons/models.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 79 | 2017-07-16T14:47:17.000Z | 2022-03-31T08:49:14.000Z | jumeaux/addons/models.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 2 | 2019-01-28T06:11:58.000Z | 2021-01-25T07:21:21.000Z | # -*- coding: utf-8 -*-
from owlmixin import OwlMixin, TOption, TList
class Addon(OwlMixin):
name: str
cls_name: str = "Executor"
config: TOption[dict]
include: TOption[str]
tags: TOption[TList[str]]
# List is None...
class Addons(OwlMixin):
log2reqs: Addon
reqs2reqs: TList[Addon] = []
... | 22.833333 | 45 | 0.614964 |
037b15551d166c8c16f7ab353f07ce460a9c9d1e | 4,696 | py | Python | FuzzyMachine.py | siej88/FuzzyACO | 989a58049c8417cd023cfc312fb99d2649333ca7 | [
"MIT"
] | null | null | null | FuzzyMachine.py | siej88/FuzzyACO | 989a58049c8417cd023cfc312fb99d2649333ca7 | [
"MIT"
] | null | null | null | FuzzyMachine.py | siej88/FuzzyACO | 989a58049c8417cd023cfc312fb99d2649333ca7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
UNIVERSIDAD DE CONCEPCION
Departamento de Ingenieria Informatica y
Ciencias de la Computacion
Memoria de Titulo Ingenieria Civil Informatica
DETECCION DE BORDES EN IMAGENES DGGE USANDO UN
SISTEMA HIBRIDO ACO CON LOGICA DIFUSA
Autor: Sebastian Ignacio Espinoza Jimenez
Patrocinant... | 45.592233 | 117 | 0.619676 |
00266780457269454f028a075438fc674e350e31 | 1,505 | py | Python | pages/extensions/amp_example_preview/util/preview_test.py | ericandrewlewis/amp.dev | cf8e3d34a5582696ead97563c0809036804ab5c7 | [
"Apache-2.0"
] | 300 | 2015-12-09T20:35:37.000Z | 2019-07-16T06:41:29.000Z | pages/extensions/amp_example_preview/util/preview_test.py | ericandrewlewis/amp.dev | cf8e3d34a5582696ead97563c0809036804ab5c7 | [
"Apache-2.0"
] | 2,099 | 2019-07-16T13:24:27.000Z | 2022-03-26T12:31:51.000Z | pages/extensions/amp_example_preview/util/preview_test.py | ericandrewlewis/amp.dev | cf8e3d34a5582696ead97563c0809036804ab5c7 | [
"Apache-2.0"
] | 543 | 2019-07-18T09:06:14.000Z | 2022-03-31T02:43:10.000Z | """Tests for the source code extractor."""
import unittest
import sys
import os
sys.path.extend([os.path.join(os.path.dirname(__file__), '.')])
from preview import ExamplePreview, ExamplePreviewMatch
class PreviewTestCase(unittest.TestCase):
def test_preview_wrap_and_extract(self):
example_code = '<h1>test... | 31.354167 | 80 | 0.663787 |
cc5f0dc491a1c6ec70913655d806751ad73db3fc | 388 | py | Python | PINp/2014/Platonova Olga/task_2_21.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PINp/2014/Platonova Olga/task_2_21.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PINp/2014/Platonova Olga/task_2_21.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 2. Вариант 21.
#Напишите программу, которая будет выводить на экран наиболее понравившееся вам высказывание, автором которого является Леонардо да Винчи. Не забудьте о том, что автор должен быть упомянут на отдельной строке.
# Platonova O. A.
# 29.05.2016
print("Истина была единственной дочерью времени.\n\t\... | 43.111111 | 209 | 0.775773 |
4e3f760bed76b655bdf6c28d45247b833f2f0db2 | 319 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v5_0/is_group.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | frappe-bench/apps/erpnext/erpnext/patches/v5_0/is_group.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v5_0/is_group.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | from __future__ import unicode_literals
import frappe
def execute():
frappe.reload_doctype("Account")
frappe.reload_doctype("Cost Center")
frappe.db.sql("update tabAccount set is_group = if(group_or_ledger='Group', 1, 0)")
frappe.db.sql("update `tabCost Center` set is_group = if(group_or_ledger='Group', 1, 0)")
| 31.9 | 90 | 0.758621 |
ae3e6b56ca14287a054210c4def72bed4b5418c6 | 638 | py | Python | Kapitel_2/_2_classmethods.py | Geralonx/Classes_Tutorial | 9499db8159efce1e3c38975b66a9c649631c6727 | [
"MIT"
] | 1 | 2020-12-24T15:42:54.000Z | 2020-12-24T15:42:54.000Z | Kapitel_2/_2_classmethods.py | Geralonx/Classes_Tutorial | 9499db8159efce1e3c38975b66a9c649631c6727 | [
"MIT"
] | null | null | null | Kapitel_2/_2_classmethods.py | Geralonx/Classes_Tutorial | 9499db8159efce1e3c38975b66a9c649631c6727 | [
"MIT"
] | null | null | null | # --- Deklaration einer Klasse mit Konstruktor und Factory/Class-Method als alternative Instanziierungsmöglichkeit --- #
class Circle:
def __init__(self, radius):
self.radius = radius
# --- Facorymethod, um eine Instanz der 'Cricle' Klasse mittels dem Durchmesse zu erstellen --- #
@classmethod
... | 27.73913 | 120 | 0.703762 |
ee0e435fca44bec4eaeb0484af61116ce2b6a586 | 1,606 | py | Python | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/56_dicionarios/dicionario.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/56_dicionarios/dicionario.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/56_dicionarios/dicionario.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | """
Dicionários
"""
"""
parte 1
dicionario = {1: 'Valor 1', 2: 'Valor 2', 3: 'Valor3'}
dicionario['str'] = 'valor'
dicionario['1'] = 'Agora existe'
if dicionario.get('str') is not None: # Retorna um valor none, mas como existe nn retorna um valor None
print(dicionario.get('str'))
print(dicionario)
del dicionario['... | 27.220339 | 120 | 0.629514 |
c9e37eee7feaad158cc918f0c8d44eb747a75acf | 4,114 | py | Python | experiments/extract_arguments.py | habecker/transfer-gan | b935e69d0fa0d37ba80aab091ce59e1657eacb1e | [
"BSD-3-Clause"
] | null | null | null | experiments/extract_arguments.py | habecker/transfer-gan | b935e69d0fa0d37ba80aab091ce59e1657eacb1e | [
"BSD-3-Clause"
] | 5 | 2021-03-19T14:21:08.000Z | 2022-03-12T00:42:00.000Z | experiments/extract_arguments.py | habecker/transfer-gan | b935e69d0fa0d37ba80aab091ce59e1657eacb1e | [
"BSD-3-Clause"
] | null | null | null | import glob
import re
import yaml
import os
from collections import OrderedDict
ignore_files = {'./train_classifier.sh'}
options_set = set()
options_possibilities = {}
options_for_file = OrderedDict()
experiments = []
train_regex = re.compile(r'^[ ]*python3? train\.py[ ]*(?P<options>.*)$')
test_regex = re.compile(r'^... | 34.571429 | 101 | 0.563928 |
11de5f6f23f811d80a89019be05c5475357fc7bb | 8,067 | py | Python | lib/SPDbCall.py | TechLabCommunity/SaintPeterTalent | eb80237de4d73f3a99e82e02edb714f5057bd559 | [
"MIT"
] | 1 | 2019-01-03T12:59:19.000Z | 2019-01-03T12:59:19.000Z | lib/SPDbCall.py | TechLabCommunity/SaintPeterTalent | eb80237de4d73f3a99e82e02edb714f5057bd559 | [
"MIT"
] | null | null | null | lib/SPDbCall.py | TechLabCommunity/SaintPeterTalent | eb80237de4d73f3a99e82e02edb714f5057bd559 | [
"MIT"
] | null | null | null | from enum import IntEnum
from lib.AbstractSQL import AbstractSQL
class TypeEnter(IntEnum):
NOTHING = 0,
ENTER = 1,
EXIT = 2
class TypeAlarmAction(IntEnum):
NOTHING = 0,
ACTIVATE = 1,
DEACTIVATE = 2
class SPDbCall:
@staticmethod
def exists_access_code(access_code):
query = Abs... | 35.537445 | 107 | 0.621669 |
e10c2ef51435bb629627c237835b659150cabfe6 | 2,145 | py | Python | bot/booking.py | kopytjuk/uni-unterkunft | c81664e0070f97f45baa6eaff6a71039a267fd37 | [
"MIT"
] | null | null | null | bot/booking.py | kopytjuk/uni-unterkunft | c81664e0070f97f45baa6eaff6a71039a267fd37 | [
"MIT"
] | null | null | null | bot/booking.py | kopytjuk/uni-unterkunft | c81664e0070f97f45baa6eaff6a71039a267fd37 | [
"MIT"
] | null | null | null | import dotenv
dotenv.load_dotenv()
from datetime import datetime, date
import argparse
import logging
import os
from typing import Union
import requests
import shapely
from pyproj import Transformer
from flatdict import FlatDict
import pandas as pd
DT_FORMAT = "%Y-%m-%d"
def get_cheapest_nearby_hotels(loc: Union[s... | 28.986486 | 111 | 0.666667 |
61f6c12ca46613d73115b3bc502b0d10ecdc2982 | 405 | py | Python | languages/python/exercises/concept/list_methods/list_methods.py | AlexLeSang/v3 | 3d35961a961b5a2129b1d42f1d118972d9665357 | [
"MIT"
] | null | null | null | languages/python/exercises/concept/list_methods/list_methods.py | AlexLeSang/v3 | 3d35961a961b5a2129b1d42f1d118972d9665357 | [
"MIT"
] | 45 | 2020-01-24T17:04:52.000Z | 2020-11-24T17:50:18.000Z | languages/python/exercises/concept/list_methods/list_methods.py | AlexLeSang/v3 | 3d35961a961b5a2129b1d42f1d118972d9665357 | [
"MIT"
] | null | null | null | def add_me_to_the_queue(express_queue, normal_queue, ticket_type, person_name):
pass
def find_his_friend(queue, friend_name):
pass
def add_person_with_his_friends(queue, index, person_name):
pass
def remove_the_mean_person(queue, person_name):
pass
def how_many_dopplegangers(queue, person_name):
... | 20.25 | 79 | 0.775309 |
c9148be425e76bc7a0d06155a23a2bc1cbc2459c | 3,716 | py | Python | src/aijack/collaborative/fedmd/api.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | 1 | 2022-03-17T21:17:44.000Z | 2022-03-17T21:17:44.000Z | src/aijack/collaborative/fedmd/api.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | null | null | null | src/aijack/collaborative/fedmd/api.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | 1 | 2022-03-17T21:17:46.000Z | 2022-03-17T21:17:46.000Z | import copy
from ..core.api import BaseFLKnowledgeDistillationAPI
class FedMDAPI(BaseFLKnowledgeDistillationAPI):
def __init__(
self,
server,
clients,
public_dataloader,
local_dataloaders,
validation_dataloader,
criterion,
client_optimizers,
... | 33.477477 | 88 | 0.569699 |
c97111e3f8b9a3d6d078bc3dd074e625d02ce72c | 6,207 | py | Python | frappe-bench/apps/erpnext/erpnext/regional/report/fichier_des_ecritures_comptables_[fec]/fichier_des_ecritures_comptables_[fec].py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/regional/report/fichier_des_ecritures_comptables_[fec]/fichier_des_ecritures_comptables_[fec].py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/regional/report/fichier_des_ecritures_comptables_[fec]/fichier_des_ecritures_comptables_[fec].py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # Copyright (c) 2018, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.utils import format_datetime
from frappe import _
def execute(filters=None):
account_details = {}
for acc in frappe.db.sql("""selec... | 34.870787 | 159 | 0.688739 |
c2f719203b3a0529afd0b1b28d46936d6815d2db | 2,753 | py | Python | python_playground/data/LowRank.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 8 | 2020-04-14T23:17:00.000Z | 2021-06-21T12:34:04.000Z | python_playground/data/LowRank.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | null | null | null | python_playground/data/LowRank.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 1 | 2021-01-17T16:26:50.000Z | 2021-01-17T16:26:50.000Z | # the low-rank method for simrank
# Fast computation of SimRank for static and dynamic information networks (EDBT'10)
from memory_profiler import profile
from simrank import *
from utils import make_index_of_vec_n
np.set_printoptions(precision=2)
def preprocess(AT, k=5, IE=False, c=0.6):
'''
AT: A.T, csr sp... | 29.923913 | 83 | 0.614239 |
666c35295c51c3f212b7fc8179a29dbc8f1d7e70 | 777 | py | Python | Python/Exercícios_Python/038_conversor_de_bases_numéricas.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | Python/Exercícios_Python/038_conversor_de_bases_numéricas.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | Python/Exercícios_Python/038_conversor_de_bases_numéricas.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""038 - Conversor de Bases Numéricas
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1pIfJpkGhz-bPEbuO2ea93R6Ba18s437l
"""
n = int(input('Digite um valor decimal: '))
escolha = int(input('Digite: \n- 1 para binário: \n- 2 para ... | 40.894737 | 127 | 0.676963 |
dd538e9575b667e388101cfd07c63c814e56ae91 | 746 | py | Python | prune_tree.py | YueYvetteHao/Sandbox | db2b8b0e751bfb7d86e7f2506fb81a75f8c3a3e5 | [
"MIT"
] | null | null | null | prune_tree.py | YueYvetteHao/Sandbox | db2b8b0e751bfb7d86e7f2506fb81a75f8c3a3e5 | [
"MIT"
] | null | null | null | prune_tree.py | YueYvetteHao/Sandbox | db2b8b0e751bfb7d86e7f2506fb81a75f8c3a3e5 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import dendropy
import sys
treefile = str(sys.argv[1])
tree = dendropy.Tree.get(path=treefile, schema="newick")
#print("Before:")
#print(tree.as_string(schema='newick'))
#print(tree.as_ascii_plot())
subspp = ["RRRR","PSEX", "PJEN", "PBIA", "PTET", "PQUA"]
#, "PTET", "PQUA"
taxons = []
for taxon in... | 26.642857 | 124 | 0.715818 |
dd632ca1b8502767c1e572e2ad094813b01c037e | 1,341 | py | Python | src/onegov/org/models/publication.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/org/models/publication.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/org/models/publication.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import sedate
from datetime import datetime
from onegov.core.collection import GenericCollection
from onegov.file import File
from sqlalchemy import and_, text
class PublicationCollection(GenericCollection):
def __init__(self, session, year=None):
super().__init__(session)
self.year = year
... | 27.9375 | 77 | 0.625652 |
c6b98708c364897c069ab80620efcd99afb5edcb | 368 | py | Python | source/pkgsrc/games/py-renpy/patches/patch-module_setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/games/py-renpy/patches/patch-module_setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/games/py-renpy/patches/patch-module_setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-module_setup.py,v 1.2 2017/06/24 19:39:47 adam Exp $
* png from pkgsrc is libpng16.so
--- module/setup.py.orig 2014-08-05 01:19:58.000000000 +0000
+++ module/setup.py
@@ -75,7 +75,7 @@ include("libswscale/swscale.h")
include("GL/glew.h")
library("SDL")
-library("png")
+library("png16")
library("av... | 23 | 67 | 0.679348 |
c6c5ae95e75f590240d1fa37e17a600041652dd2 | 330 | py | Python | ___Python/Michael/p07_file_io_MA/m01_count_files.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Michael/p07_file_io_MA/m01_count_files.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Michael/p07_file_io_MA/m01_count_files.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | from pathlib import Path
# Anzahl Ordner inkl. Unterordner
def count_dirs(path):
subdirs = [subdir for subdir in path.iterdir() if subdir.is_dir()]
return len(subdirs)
path = Path("O:\Spielwiese")
def alldirs(path):
if len(subdirs(path)) == 0:
return
return subdirs(path)
prin... | 20.625 | 71 | 0.651515 |
05dcef9566df8c6588f858a036fd4fa4467a78bc | 1,217 | py | Python | Problems/Depth-First Search/medium/AllNodesDistanceKBT/all_nodes_distance_k_in_bt.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Problems/Depth-First Search/medium/AllNodesDistanceKBT/all_nodes_distance_k_in_bt.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Depth-First Search/medium/AllNodesDistanceKBT/all_nodes_distance_k_in_bt.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from typing import List
# Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def distanceK(self, root: TreeNode, target: TreeNode, k: int) -> List[int]:
ans = []
self.left, self.righ... | 25.893617 | 86 | 0.537387 |
af6ea748ade41afec09a7f0db0075d7bf098bcf6 | 448 | py | Python | config.py | meerkat-code/meerkat_consul | 983851b360f330ad258e15d45d98251e0fe21100 | [
"MIT"
] | null | null | null | config.py | meerkat-code/meerkat_consul | 983851b360f330ad258e15d45d98251e0fe21100 | [
"MIT"
] | 1 | 2018-07-18T16:36:12.000Z | 2018-07-18T16:36:12.000Z | config.py | fjelltopp/meerkat_consul | 983851b360f330ad258e15d45d98251e0fe21100 | [
"MIT"
] | null | null | null | class Config(object):
DEBUG = False
TESTING = False
PRODUCTION = False
LOGGING_LEVEL = "ERROR"
LOGGING_FORMAT = '%(asctime)s - %(levelname)-7s - %(module)s:%(filename)s:%(lineno)d - %(message)s'
COUNTRY_LOCATION_ID = 1
class Production(Config):
PRODUCTION = True
class Development(Conf... | 15.448276 | 103 | 0.645089 |
af801afc38b1483bab4022ddc1eca05c64fd7dee | 247 | py | Python | Verzweigungen/Einfach/u_einfach.py | DietrichPaul/Einstieg-in-Python | 0d28402f962773274d85e6bb169ae631c91f66ce | [
"CC0-1.0"
] | null | null | null | Verzweigungen/Einfach/u_einfach.py | DietrichPaul/Einstieg-in-Python | 0d28402f962773274d85e6bb169ae631c91f66ce | [
"CC0-1.0"
] | null | null | null | Verzweigungen/Einfach/u_einfach.py | DietrichPaul/Einstieg-in-Python | 0d28402f962773274d85e6bb169ae631c91f66ce | [
"CC0-1.0"
] | null | null | null | # Eingabe
print("Geben Sie Ihr Bruttogehalt in Euro ein:")
brutto = float(input())
# Berechnung
if brutto > 2500:
steuer = brutto * 0.22
else:
steuer = brutto * 0.18
# Ausgabe
print("Es ergibt sich ein Steuerbetrag von", steuer, "Euro")
| 19 | 60 | 0.680162 |
a5b2e2336d105289cb8635838685c5ec230e2b9d | 350 | py | Python | config.py | ponyatov/ST | 4aab2004608fe5f85366870c8387451f05451adc | [
"MIT"
] | null | null | null | config.py | ponyatov/ST | 4aab2004608fe5f85366870c8387451f05451adc | [
"MIT"
] | null | null | null | config.py | ponyatov/ST | 4aab2004608fe5f85366870c8387451f05451adc | [
"MIT"
] | null | null | null | import os
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = b'\x80<C\x83\xf7\xb3Z\xfa\xedu,>\xbc\xec\xa1\xb1\r@i\x8b\x91)\xe7\x1f\xaat\xa6\xfb\x13\xea\x14\xa1\x10\xc4'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
HOST = os.getenv('HOST', '127.0.0.1')
PO... | 31.818182 | 120 | 0.714286 |
59e01f315e48991105e3e55d9a955fdadfdc784e | 15,691 | py | Python | Packs/Pcysys/Integrations/Pcysys/Pcysys.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Pcysys/Integrations/Pcysys/Pcysys.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Pcysys/Integrations/Pcysys/Pcysys.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
import jwt
import requests
import csv
import io
import json
from typing import List
from enum import Enum
# Disable insecure warnings
requests.packages.urllib3.disable_warnings()
HEADERS = {'Accept': 'application/jso... | 40.968668 | 115 | 0.641132 |
758143c8edb9ac7caeb03ce2169a369f0c3f1c03 | 899 | py | Python | codeit/algorithm/max_profit_memo.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | codeit/algorithm/max_profit_memo.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | codeit/algorithm/max_profit_memo.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | def max_profit_memo(price_list, count, cache):
# base case
if count in [0, 1]:
return price_list[count]
if count in cache:
return cache[count]
if count < len(price_list):
profit = price_list[count]
else:
profit = 0
# recursive case
for i in ... | 25.685714 | 74 | 0.596218 |
dde4ccb40e6afb779d2bf1b372bce3d68a2e2d61 | 266 | py | Python | Crashkurs TensorFlow/09_range.py | slogslog/Kurzgeschichten-in-CSharp | 3918c4174220e558cdeeada0edac941811418b93 | [
"Unlicense"
] | 2 | 2019-03-15T20:48:34.000Z | 2019-04-22T15:24:09.000Z | Crashkurs TensorFlow/09_range.py | slogslog/Coding-Kurzgeschichten | 9b08237038147c6c348d4cf4c69567178e07dd1d | [
"Unlicense"
] | null | null | null | Crashkurs TensorFlow/09_range.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
a = tf.range(1,21)
print(a.numpy())
b = tf.range(10,0,-2)
print(b.numpy())
c = tf.range(5., 13., 0.5)
print(c.numpy())
d = tf.linspace(-2., 3., 20)
print(d)
| 14.777778 | 38 | 0.650376 |
fb24e3d9d3f133d9100fe9d04185373d283d05ff | 4,917 | py | Python | packages/watchmen-storage/src/watchmen_storage/competitive_worker_id_generator.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-storage/src/watchmen_storage/competitive_worker_id_generator.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-storage/src/watchmen_storage/competitive_worker_id_generator.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from abc import abstractmethod
from datetime import datetime
from enum import Enum
from logging import getLogger
from os import getpid
from random import randrange
from socket import AF_INET, SOCK_DGRAM, socket
from threading import Thread
from typing import Callable, List, Optional
from time import sleep
from watchm... | 26.435484 | 101 | 0.767541 |
fb39e81cc76189e1ff84b8f4859a0a5d79c71246 | 23,315 | py | Python | Packs/PhishLabs/Integrations/PhishLabsIOC_DRP/PhishLabsIOC_DRP.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/PhishLabs/Integrations/PhishLabsIOC_DRP/PhishLabsIOC_DRP.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/PhishLabs/Integrations/PhishLabsIOC_DRP/PhishLabsIOC_DRP.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | """ IMPORTS """
# Std imports
from datetime import datetime
# 3-rd party imports
from typing import Dict, Tuple, Union, Optional, List, Any, AnyStr
import urllib3
# Local imports
import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
"""GLOBALS/PARAMS
Attributes:
INT... | 41.119929 | 121 | 0.567532 |
34d7c7c5eb13220926df4c119b7410eecc7ea9c7 | 7,951 | py | Python | MapMaker.py | Turidus/Minecraft-MapMaker | 16e4015d03d67f04cfd247c11c9e3e2a5429b79f | [
"MIT"
] | 1 | 2018-10-24T16:02:08.000Z | 2018-10-24T16:02:08.000Z | MapMaker.py | Turidus/Minecraft-MapMaker | 16e4015d03d67f04cfd247c11c9e3e2a5429b79f | [
"MIT"
] | 2 | 2018-07-16T19:04:00.000Z | 2018-07-29T11:43:53.000Z | MapMaker.py | Turidus/Minecraft-MapMaker | 16e4015d03d67f04cfd247c11c9e3e2a5429b79f | [
"MIT"
] | null | null | null | """
Manger for the differnt calculations needed to provided the requestet data.
See Readme for details.
Can be used directly with a command line tool or with a GUI.
Made by Turidus https://github.com/Turidus/Minecraft-MapMaker
Copyright (c) 2018 Turidus
Permission is hereby granted, free of charge, to any person obta... | 38.97549 | 182 | 0.667337 |
1f4593ac5b700281a13ab944e7c95b90804f0e53 | 425 | py | Python | doc/examples/using_jit.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 88 | 2019-01-08T16:39:08.000Z | 2022-02-06T14:19:23.000Z | doc/examples/using_jit.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 13 | 2019-06-20T15:53:10.000Z | 2021-02-09T11:03:29.000Z | doc/examples/using_jit.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 1 | 2019-11-05T03:03:14.000Z | 2019-11-05T03:03:14.000Z | import numpy as np
from transonic import jit
def func0(a, b):
return a + b
@jit
def func1(a: int, b: int):
print("b", b)
return np.exp(a) * b * func0(a, b)
if __name__ == "__main__":
from time import sleep
a = b = np.zeros([2, 3])
for i in range(20):
print(f"{i}, call with arra... | 15.178571 | 40 | 0.531765 |
23bcd4ffaefa3e89e34bce80ced4b456a28dde6b | 445 | py | Python | year_3/databases_sem1/lab3/api/migrations/0003_auto_20171226_2034.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | null | null | null | year_3/databases_sem1/lab3/api/migrations/0003_auto_20171226_2034.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | 21 | 2020-03-24T16:26:04.000Z | 2022-02-18T15:56:16.000Z | year_3/databases_sem1/lab3/api/migrations/0003_auto_20171226_2034.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | null | null | null | # Generated by Django 2.0 on 2017-12-26 17:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0002_payroll'),
]
operations = [
migrations.AlterField(
model_name='payment',
name='method',
field=... | 23.421053 | 125 | 0.593258 |
f1d6c9f1c379c7963cc254399f3d882b86e0a5b5 | 2,153 | py | Python | tests/test_rechnungsposition.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 1 | 2022-03-02T12:49:44.000Z | 2022-03-02T12:49:44.000Z | tests/test_rechnungsposition.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 21 | 2022-02-04T07:38:46.000Z | 2022-03-28T14:01:53.000Z | tests/test_rechnungsposition.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | null | null | null | from datetime import datetime, timezone
import pytest # type:ignore[import]
from bo4e.com.rechnungsposition import Rechnungsposition, RechnungspositionSchema
from bo4e.enum.artikelid import ArtikelId
from bo4e.enum.bdewartikelnummer import BDEWArtikelnummer
from bo4e.enum.zeiteinheit import Zeiteinheit
from tests.se... | 42.215686 | 92 | 0.665583 |
7b0257e77974e2bc48d09f8e4dd6b072d78240ee | 455 | py | Python | Programming Languages/Python/Theory/100_Python_Challenges/Section_2_String/38. remove all occurrences of a given character from an input string.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | Programming Languages/Python/Theory/100_Python_Challenges/Section_2_String/38. remove all occurrences of a given character from an input string.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | Programming Languages/Python/Theory/100_Python_Challenges/Section_2_String/38. remove all occurrences of a given character from an input string.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | """
Write a function that accepts a string and a character.
The function should remove all occurrences of the given character from the input string and return the string.
Example:
input_string = 'technique'
char = 'e'
Expected output = 'tchniqu'
"""
def remove_char(input_string, char):
new_str = ""
for i ... | 20.681818 | 110 | 0.635165 |
19a5557b63c35974cdea0c529a2c4b4e7ccc56e9 | 2,319 | py | Python | research/cv/SRGAN/preprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/SRGAN/preprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/SRGAN/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... | 39.982759 | 99 | 0.663217 |
271670ccee1d88305179d71e574ad1cc94902fd0 | 1,090 | py | Python | nz_crawl_demo/day5/demo2.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | null | null | null | nz_crawl_demo/day5/demo2.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 27 | 2020-02-12T07:55:58.000Z | 2022-03-12T00:19:09.000Z | nz_crawl_demo/day5/demo2.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 2 | 2020-02-18T01:54:55.000Z | 2020-02-21T11:36:28.000Z | from selenium import webdriver
from lxml import etree
import time
from selenium.webdriver.common.by import By
driver = webdriver.Chrome()
# driver.get("https://www.zhihu.com/signin?next=%2F")
# driver.get("https://www.baidu.com/")
driver.get("https://v3.bootcss.com/examples/signin/")
html = driver.page_source
# html =... | 35.16129 | 83 | 0.738532 |
2786572b449ddc1407f3069c88529370b47fc8e0 | 6,737 | py | Python | spider/get_HKProtest.py | iecasszyjy/tweet_search-master | e4978521a39964c22ae46bf35d6ff17710e8e6c6 | [
"MIT"
] | null | null | null | spider/get_HKProtest.py | iecasszyjy/tweet_search-master | e4978521a39964c22ae46bf35d6ff17710e8e6c6 | [
"MIT"
] | 2 | 2021-03-31T18:54:16.000Z | 2021-12-13T19:49:08.000Z | spider/get_HKProtest.py | iecasszyjy/tweet_search-master | e4978521a39964c22ae46bf35d6ff17710e8e6c6 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
# '2019香港'事件获取
import pymongo
from pymongo import InsertOne
from pymongo.errors import BulkWriteError
import random
from pprint import pprint
from tqdm import tqdm
client = pymongo.MongoClient('mongodb://3.220.111.222:27017/')
client.admin.authenticate("aircas", "aircas@2018", mechanism='SCRAM-... | 81.168675 | 2,232 | 0.659641 |
9a2534954721c24643d91d34abc0efe06b17e9c4 | 3,015 | py | Python | ts2panda/scripts/run.py | openharmony-sig-ci/ark_ts2abc | 1d6fac6447760fce2e81c3738ac735b4424eed31 | [
"Apache-2.0"
] | null | null | null | ts2panda/scripts/run.py | openharmony-sig-ci/ark_ts2abc | 1d6fac6447760fce2e81c3738ac735b4424eed31 | [
"Apache-2.0"
] | null | null | null | ts2panda/scripts/run.py | openharmony-sig-ci/ark_ts2abc | 1d6fac6447760fce2e81c3738ac735b4424eed31 | [
"Apache-2.0"
] | 2 | 2021-09-13T11:32:30.000Z | 2021-09-13T12:12:06.000Z | #!/usr/bin/env python3
# coding: utf-8
"""
Copyright (c) 2021 Huawei Device 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... | 30.765306 | 73 | 0.643781 |
9a6ea1ca15de37cc3b3d5f33f269730b46239e7a | 7,983 | py | Python | mongo_cache/__init__.py | pricez/werkzeug_cache_mongodb | 039a7cf6f70ac0a7f36ef3885b1012e014e638c6 | [
"MIT"
] | null | null | null | mongo_cache/__init__.py | pricez/werkzeug_cache_mongodb | 039a7cf6f70ac0a7f36ef3885b1012e014e638c6 | [
"MIT"
] | 5 | 2015-07-08T00:58:13.000Z | 2015-07-20T21:34:38.000Z | mongo_cache/__init__.py | pricez/werkzeug_cache_mongodb | 039a7cf6f70ac0a7f36ef3885b1012e014e638c6 | [
"MIT"
] | null | null | null | # coding: UTF-8
import pickle
from werkzeug.contrib.cache import BaseCache
from pymongo import MongoClient
from pymongo.errors import PyMongoError
from time import time
from bson.binary import Binary
class MongoCache(BaseCache):
"""Cache that uses MongoDB to store data.
:param default_timeout: the default t... | 35.638393 | 91 | 0.57635 |
ef72fcac0c9daefe02a1acaf326730e174aa3246 | 1,318 | py | Python | src/bo4e/com/betrag.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 1 | 2022-03-02T12:49:44.000Z | 2022-03-02T12:49:44.000Z | src/bo4e/com/betrag.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 21 | 2022-02-04T07:38:46.000Z | 2022-03-28T14:01:53.000Z | src/bo4e/com/betrag.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | null | null | null | """
Contains Betrag class
and corresponding marshmallow schema for de-/serialization
"""
from decimal import Decimal
import attr
from marshmallow import fields
from marshmallow_enum import EnumField # type:ignore[import]
from bo4e.com.com import COM, COMSchema
from bo4e.enum.waehrungscode import Waehrungscode
# p... | 29.954545 | 167 | 0.743551 |
ef5c7f42535bdc7001316bd2f0ff713f7ae21b7e | 38,735 | py | Python | SLIX/toolbox.py | oliviaguest/SLIX | 2f19382c650267d0a76456c796cd3e0afe04d880 | [
"MIT"
] | null | null | null | SLIX/toolbox.py | oliviaguest/SLIX | 2f19382c650267d0a76456c796cd3e0afe04d880 | [
"MIT"
] | null | null | null | SLIX/toolbox.py | oliviaguest/SLIX | 2f19382c650267d0a76456c796cd3e0afe04d880 | [
"MIT"
] | null | null | null | import multiprocessing
import nibabel
import numpy
import pymp
import tifffile
import tqdm
import time
from scipy.signal import peak_widths, savgol_filter, find_peaks, peak_prominences
pymp.config.nested = True
# DEFAULT PARAMETERS
BACKGROUND_COLOR = -1
CPU_COUNT = min(16, multiprocessing.cpu_count())
MAX_DISTANCE_F... | 47.065614 | 266 | 0.685865 |
322c3cadec788710b2de57173c1bc8e648bd6fc7 | 3,731 | py | Python | IdeaProjects/PandasProj/PandasCourse2.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | 1 | 2018-12-30T14:07:42.000Z | 2018-12-30T14:07:42.000Z | IdeaProjects/PandasProj/PandasCourse2.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | IdeaProjects/PandasProj/PandasCourse2.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | # encoding: utf-8
import pandas as pd
import numpy as np
# 二、Pandas 常见的基本方法
#
# 2.1 数据读取与存储
#
# Pandas 支持大部分常见数据文件读取与存储。一般清楚下，读取文件的方法以 pd.read_ 开头，而写入文件的方法以 pd.to_ 开头。详细的表格如下。
#
# 此处输入图片的描述
#
# 拿刚刚下载好的数据文件举例，如果没有下载，请看 1.5 小节。
df = pd.read_csv("los_census.csv") #读取 csv 文件
print df
# 可以看到，文件已经读取出来了。由于列数太多，所以分段显示了。输出... | 22.612121 | 128 | 0.691236 |
0889fa2aa3e3f7524a17275a5e401ed854c8c3f3 | 592 | py | Python | Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 82/82.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 82/82.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 82/82.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | #Use Python to calculate the distance (in AU units) between Jupiter and Sun on January 1, 1230.
#A: I didn't know this so I did some internet research and reveal that ephem is used for astronomical clculations.
#The ephem library was installed with pip, and for Windows a precompiled library from http://www.lfd.uci.edu/... | 49.333333 | 159 | 0.793919 |
08f612cde2c2fa73d6466afe8e1bd9db483c0d2f | 8,139 | py | Python | hihope_neptune-oh_hid/00_src/v0.1/third_party/LVM2/test/dbus/testlib.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | 1 | 2022-02-15T08:51:55.000Z | 2022-02-15T08:51:55.000Z | hihope_neptune-oh_hid/00_src/v0.3/third_party/LVM2/test/dbus/testlib.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | hihope_neptune-oh_hid/00_src/v0.3/third_party/LVM2/test/dbus/testlib.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
# Copyright (C) 2015-2016 Red Hat, Inc. All rights reserved.
#
# This copyrighted material is made available to anyone wishing to use,
# modify, copy, or redistribute it subject to the terms and conditions
# of the GNU General Public License v.2.
#
# You should have received a copy of the GNU Genera... | 27.220736 | 77 | 0.675513 |
eb014668e291f4c33e5d7b62d8f19a18367dba12 | 921 | py | Python | Algorithms/2_Implementation/62.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | 1 | 2021-11-25T13:39:30.000Z | 2021-11-25T13:39:30.000Z | Algorithms/2_Implementation/62.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | null | null | null | Algorithms/2_Implementation/62.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | null | null | null | # https://www.hackerrank.com/challenges/3d-surface-area/problem
#!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'surfaceArea' function below.
#
# The function is expected to return an INTEGER.
# The function accepts 2D_INTEGER_ARRAY A as parameter.
#
def surfaceArea(A):
... | 22.463415 | 110 | 0.618893 |
debfc54ae8cddc984ade037ca457a6cafe80a638 | 2,648 | py | Python | test/test_npu/test_network_ops/test_confusion_transpose_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_confusion_transpose_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_confusion_transpose_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020 Huawei Technologies Co., Ltd
# Copyright (c) 2019, Facebook CORPORATION.
# 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/licen... | 44.133333 | 93 | 0.672961 |
def32a8fceaa7d1439b301e7160c0245a2e3ec89 | 1,786 | py | Python | x/fetch/main.py | miku/lc-extra | afeb3cb5f532069be17c54d6508aa7c0c8373c2a | [
"MIT"
] | null | null | null | x/fetch/main.py | miku/lc-extra | afeb3cb5f532069be17c54d6508aa7c0c8373c2a | [
"MIT"
] | null | null | null | x/fetch/main.py | miku/lc-extra | afeb3cb5f532069be17c54d6508aa7c0c8373c2a | [
"MIT"
] | 1 | 2020-02-04T08:09:01.000Z | 2020-02-04T08:09:01.000Z | #!/usr/bin/env python
#
# https://sigel.staatsbibliothek-berlin.de/api/hydra/?q=*
#
# {
# "@context": "https://sigel.staatsbibliothek-berlin.de/typo3conf/ext/zdb_json_api/Resources/Public/context.jsonld",
# "id": "https://sigel.staatsbibliothek-berlin.de/api/hydra/?q=%2A",
# "type": "Collection",
# ... | 25.15493 | 122 | 0.583987 |
9d5efb9dc24f0c0de4631e494d44ffebde7322d1 | 2,423 | py | Python | jumeaux/commands/server/main.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 11 | 2017-10-02T01:29:12.000Z | 2022-03-31T08:37:22.000Z | jumeaux/commands/server/main.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 79 | 2017-07-16T14:47:17.000Z | 2022-03-31T08:49:14.000Z | jumeaux/commands/server/main.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 2 | 2019-01-28T06:11:58.000Z | 2021-01-25T07:21:21.000Z | """Boot mock API server
Usage:
{cli} [--port <port>] [-v|-vv|-vvv]
{cli} (-h | --help)
Options:
--port <port> Running port [default: 8000]
-v Logger level (`-v` or `-vv` or `-vvv`)
-h --help Show this screen.
"""
import json
import socketserver
i... | 30.2875 | 101 | 0.57078 |
261d2c174d707e9450cd0b7fd3995fbb4fec6e28 | 112 | py | Python | scripts/hello_world_Oliver.py | breezage/Hacktoberfest-1 | 6f6d52248c79c0e72fd13b599500318fce3f9ab0 | [
"MIT"
] | null | null | null | scripts/hello_world_Oliver.py | breezage/Hacktoberfest-1 | 6f6d52248c79c0e72fd13b599500318fce3f9ab0 | [
"MIT"
] | null | null | null | scripts/hello_world_Oliver.py | breezage/Hacktoberfest-1 | 6f6d52248c79c0e72fd13b599500318fce3f9ab0 | [
"MIT"
] | 1 | 2019-10-24T06:45:21.000Z | 2019-10-24T06:45:21.000Z | // LANGUAGE: Python
// AUTHOR: Justin Oliver
// GITHUB: https://github.com/justinoliver
print('Hello, World!')
| 18.666667 | 42 | 0.705357 |
13ffeb5f50c02edce4a3a5eacd3e988666c5e7f9 | 1,457 | py | Python | tag_generator.py | 5nizza/5nizza.github.io | 234cb066164648715f5440be29ff55507b8d2999 | [
"CC-BY-3.0"
] | null | null | null | tag_generator.py | 5nizza/5nizza.github.io | 234cb066164648715f5440be29ff55507b8d2999 | [
"CC-BY-3.0"
] | null | null | null | tag_generator.py | 5nizza/5nizza.github.io | 234cb066164648715f5440be29ff55507b8d2999 | [
"CC-BY-3.0"
] | null | null | null | #!/usr/bin/env python
"""
This script creates tags for jekyll blog.
Source:
Inspired by http://longqian.me/2017/02/09/github-jekyll-tag/
"""
import glob
import os
post_dir = '_posts/'
tag_dir = 'tag/'
file_names = glob.glob(post_dir + '**/*.md', recursive=True)
tags = set()
for file in file_names:
f = open(fil... | 26.981481 | 109 | 0.540151 |
26e766c55c5afa429c8e1e08831eac89a2455913 | 958 | py | Python | Interview Preparation Kits/Interview Preparation Kit/String Manipulation/Special String Again/special_string_count.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | 1 | 2021-02-22T17:37:45.000Z | 2021-02-22T17:37:45.000Z | Interview Preparation Kits/Interview Preparation Kit/String Manipulation/Special String Again/special_string_count.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | Interview Preparation Kits/Interview Preparation Kit/String Manipulation/Special String Again/special_string_count.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the substrCount function below.
def substrCount(n, s):
counts = []
current = None
count = 0
ans = 0
for i in range(n):
if s[i] == current:
count += 1
else:
if current is ... | 19.16 | 66 | 0.516701 |
f87081fefdd7a7c218bb1c70ed69788ca2e01c52 | 3,942 | py | Python | train.py | PMingEli/FDSR | 73563b5e148647fff2712602b1fc8720b8739589 | [
"MIT"
] | null | null | null | train.py | PMingEli/FDSR | 73563b5e148647fff2712602b1fc8720b8739589 | [
"MIT"
] | null | null | null | train.py | PMingEli/FDSR | 73563b5e148647fff2712602b1fc8720b8739589 | [
"MIT"
] | null | null | null | import os
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
import torch
import numpy as np
import cv2
import argparse
from models import *
from nyu_dataloader import *
from torch.utils.data import Dataset, DataLoader
from PIL import Image
from torchvision import transforms, utils
import torch.optim as optim
import torch.o... | 32.578512 | 109 | 0.659056 |
3e19cc404d78a16c21bc9cdc7262fa7acc665fbb | 2,269 | py | Python | 3_DeepLearning-CNNs/03_CNN_MNIST_Classification/1-CNN_MNIST_Model.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 3_DeepLearning-CNNs/03_CNN_MNIST_Classification/1-CNN_MNIST_Model.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 3_DeepLearning-CNNs/03_CNN_MNIST_Classification/1-CNN_MNIST_Model.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | import os
import numpy as np
from tensorflow.keras.datasets import mnist
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.layers import *
from tensorflow.keras.activations import *
from tensorflow.keras.models import *
from tensorflow.keras.optimizers import *
from tensorflow.keras.initializers... | 25.494382 | 91 | 0.749229 |
3985796a0bec60a952235752d6d89eea89e17ace | 11,917 | py | Python | src/onegov/directory/migration.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/directory/migration.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/directory/migration.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.directory.models.directory_entry import DirectoryEntry
from onegov.form import as_internal_id
from onegov.form import flatten_fieldsets
from onegov.form import parse_form
from onegov.form import parse_formcode
from sqlalchemy.orm import object_session, joinedload, undefer
from sqlalchemy.orm.attributes impo... | 32.829201 | 79 | 0.619619 |
39a67bb7385d264d8d2a6627d7b47e4e5048a380 | 859 | py | Python | Backtracking/GenerateParanthesis.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | null | null | null | Backtracking/GenerateParanthesis.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | null | null | null | Backtracking/GenerateParanthesis.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | 1 | 2020-02-12T16:57:46.000Z | 2020-02-12T16:57:46.000Z | """
Given n pairs of parentheses, write a function to generate all combinations of
well-formed parentheses.
"""
class Solution(object):
def generateParanthesisHelper(self, left, right, current, result, n):
if right == 0:
result.append(current)
if left > 0:
self.generatePara... | 28.633333 | 79 | 0.576251 |
8a2afa8b1aef55b0683647413167ec45f9dfffd7 | 806 | py | Python | setup.py | FrieAT/MD_CompressedWavelet | 82bd10edd611485cd5f0b81da744e07a3b7c98eb | [
"MIT"
] | 2 | 2020-03-28T11:50:45.000Z | 2020-12-08T13:36:26.000Z | setup.py | FrieAT/MD_CompressedWavelet | 82bd10edd611485cd5f0b81da744e07a3b7c98eb | [
"MIT"
] | 2 | 2020-04-20T11:12:59.000Z | 2020-05-11T05:37:36.000Z | setup.py | FrieAT/MD_CompressedWavelet | 82bd10edd611485cd5f0b81da744e07a3b7c98eb | [
"MIT"
] | null | null | null | import os
from setuptools import setup
# Utility function to read the README file.
# Used for the long_description. It's nice, because now 1) we have a top level
# README file and 2) it's easier to type in the README file than to put a raw
# string in below ...
def read(fname):
return open(os.path.join(os.path.di... | 29.851852 | 79 | 0.630273 |
8a6114b61e2c65ee0b7fd099bedb0a958a8541ac | 8,478 | py | Python | Packs/UnifiVideoNVR/Integrations/UnifiVideo/UnifiVideo.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/UnifiVideoNVR/Integrations/UnifiVideo/UnifiVideo.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/UnifiVideoNVR/Integrations/UnifiVideo/UnifiVideo.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import cv2
import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
from unifi_video import UnifiVideoAPI
import dateparser
import json
demisto_format = '%Y-%m-%dT%H:%M:%SZ'
params = demisto.params()
args = demisto.args()
api_key = params.get('api_key')
address = params.get('addr')
po... | 41.558824 | 128 | 0.647087 |
0a5f60eefe99ceb4ed28a5c98f6f2dedba8d805f | 455 | py | Python | 118-pascals-triangle/118-pascals-triangle.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | pascals-triangle/pascals-triangle.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | pascals-triangle/pascals-triangle.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def generate(self, numRows: int) -> List[List[int]]:
if numRows==1:
return [[1]]
else:
output=[[1], [1,1]]
for i in range(numRows-2):
dp=[1]
for idx in range(len(output[-1])-1):
dp.append(output[-... | 35 | 64 | 0.415385 |
6a61ccfc3516cfd051605ca670e7b43162efd089 | 4,111 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/ipa_config.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/ipa_config.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/ipa_config.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright: (c) 2018, Fran Fitzpatrick <francis.x.fitzpatrick@gmail.com>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'me... | 28.748252 | 103 | 0.705911 |
7c19d60f2d7db293ba8e9b27b5522bb04175668d | 324 | py | Python | Python/Courses/Python-Tutorials.Telusko/01.Object-Oriented-Programming/15.03-Constructor-Inheritance.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/01.Object-Oriented-Programming/15.03-Constructor-Inheritance.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/01.Object-Oriented-Programming/15.03-Constructor-Inheritance.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | class A:
def __init__(self):
print("At A init")
def feature1(self):
print("Feature 1 working")
def feature2(self):
print("Feature 2 working")
class B(A):
def feature3(self):
print("Feature 3 working")
def feature4(self):
print("Feature 4 working")
b1 = ... | 15.428571 | 34 | 0.564815 |
7c3b09cd1be045ceff75c8e2d57e18eea020fc59 | 872 | py | Python | python/oneflow/compatible/single_client/unittest/__init__.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/unittest/__init__.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/unittest/__init__.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... | 30.068966 | 72 | 0.772936 |
7c58ba4aebffcc1fa56edd7c43d697cbbf88678c | 930 | py | Python | python/en/_matplotlib/gallery/text_labels_and_annotations/composing_custom_legends.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_matplotlib/gallery/text_labels_and_annotations/composing_custom_legends.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_matplotlib/gallery/text_labels_and_annotations/composing_custom_legends.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
text_labels_and_annotations/composing_custom_legends.py
Matplotlib > Gallery > Text, labels and annotations> Composing Custom Legends
https://matplotlib.org/3.1.1/gallery/text_labels_and_annotations/custom_legends.html#sphx-glr-gallery-text-labels-and-annotations-custo... | 34.444444 | 147 | 0.762366 |
6b05a198af42a360d93fe96744515315528adc10 | 3,803 | py | Python | Python/Buch_ATBS/Teil_1/Kapitel_06_Stringbearbeitung/10_molare_masse.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | Python/Buch_ATBS/Teil_1/Kapitel_06_Stringbearbeitung/10_molare_masse.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Buch_ATBS/Teil_1/Kapitel_06_Stringbearbeitung/10_molare_masse.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | # Berechne molare Masse anhand chemischer Summenformel
periodensystem={ 'H' : 1.0079, 'He' : 4.0026,
'Li' : 6.941, 'Be' : 9.0122, 'B' : 10.811, 'C' : 12.011, 'N' : 14.007, 'O' : 15.999, 'F' : 18.988, 'Ne' : 20.180,
'Na' : 22.990, 'Mg' : 24.305, 'Al' : 26.982, 'Si' : 28.086, 'P' : 30.9... | 50.039474 | 281 | 0.506179 |
868d1e021d5b45d47108767f8f7aa79bc8b8371d | 1,791 | py | Python | apps/multivers/migrations/0010_conceptorder_conceptorderdrink_conceptorderdrinkline.py | LvanArkel/sbzwebsite | a26efbb050585312c53010f14f86c23616a8071f | [
"BSD-3-Clause"
] | 1 | 2017-01-08T13:21:43.000Z | 2017-01-08T13:21:43.000Z | apps/multivers/migrations/0010_conceptorder_conceptorderdrink_conceptorderdrinkline.py | LvanArkel/sbzwebsite | a26efbb050585312c53010f14f86c23616a8071f | [
"BSD-3-Clause"
] | 17 | 2018-12-03T14:22:14.000Z | 2021-07-14T15:15:12.000Z | apps/multivers/migrations/0010_conceptorder_conceptorderdrink_conceptorderdrinkline.py | LvanArkel/sbzwebsite | a26efbb050585312c53010f14f86c23616a8071f | [
"BSD-3-Clause"
] | 2 | 2018-12-03T14:58:49.000Z | 2019-12-01T13:24:42.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.14 on 2018-07-04 14:22
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('multivers', '0009_auto_20180704_1144'),
]
operati... | 40.704545 | 124 | 0.598548 |
07d57dbd387d64d3f3800858f9a51e88000932d4 | 8,040 | py | Python | src/onegov/file/upgrade.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/file/upgrade.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/file/upgrade.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | """ Contains upgrade tasks that are executed when the application is being
upgraded on the server. See :class:`onegov.core.upgrade.upgrade_task`.
"""
import multiprocessing
from concurrent.futures import ThreadPoolExecutor
from copy import copy
from onegov.core.orm import as_selectable
from onegov.core.orm.types impo... | 31.042471 | 79 | 0.651493 |
07f36396019c9f26deab72fab94dbd2d8ca01c06 | 547 | py | Python | crawlab/worker.py | anhilo/crawlab | 363f4bf7a4ccc192a99850998c1bd0fc363832a1 | [
"BSD-3-Clause"
] | 1 | 2019-08-20T14:26:39.000Z | 2019-08-20T14:26:39.000Z | crawlab/worker.py | anhilo/crawlab | 363f4bf7a4ccc192a99850998c1bd0fc363832a1 | [
"BSD-3-Clause"
] | null | null | null | crawlab/worker.py | anhilo/crawlab | 363f4bf7a4ccc192a99850998c1bd0fc363832a1 | [
"BSD-3-Clause"
] | null | null | null | import sys
import os
# make sure the working directory is in system path
file_dir = os.path.dirname(os.path.realpath(__file__))
root_path = os.path.abspath(os.path.join(file_dir, '..'))
sys.path.append(root_path)
from tasks.celery import celery_app
# import necessary tasks
import tasks.spider
import tasks.deploy
if... | 27.35 | 88 | 0.678245 |
ed42b186ba3ca9f281d95a201823fcbdc0bbf605 | 2,376 | py | Python | research/nlp/seq2seq/src/utils/loss_monitor.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/nlp/seq2seq/src/utils/loss_monitor.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/nlp/seq2seq/src/utils/loss_monitor.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... | 35.462687 | 120 | 0.630471 |
ed885b8c33209e84bb25fde1cdadb83524732f1d | 6,663 | py | Python | notebooks_and_scripts/graph_miner/repositories/kg_obo_graph_repository.py | LucaCappelletti94/EnsmallenGraph | 572532b6d3f4352bf58f9ccca955376acd95fd89 | [
"MIT"
] | null | null | null | notebooks_and_scripts/graph_miner/repositories/kg_obo_graph_repository.py | LucaCappelletti94/EnsmallenGraph | 572532b6d3f4352bf58f9ccca955376acd95fd89 | [
"MIT"
] | null | null | null | notebooks_and_scripts/graph_miner/repositories/kg_obo_graph_repository.py | LucaCappelletti94/EnsmallenGraph | 572532b6d3f4352bf58f9ccca955376acd95fd89 | [
"MIT"
] | null | null | null | """Sub-module handling the retrieval and building of graphs from KG-OBO."""
from typing import List, Dict
import os
import requests
from bs4 import BeautifulSoup
import yaml
from .graph_repository import GraphRepository
import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin
class KGOBOGraphRep... | 30.705069 | 121 | 0.512382 |
71ffefff6d77a99b588f62a319efabc2857435d2 | 4,461 | py | Python | Project3/test_main.py | veronikadim99/Wissenschaftliches-Rechnen | 3b7c86e9488bf434f3ad1d590f5b9bb9b4cdf218 | [
"Apache-2.0"
] | null | null | null | Project3/test_main.py | veronikadim99/Wissenschaftliches-Rechnen | 3b7c86e9488bf434f3ad1d590f5b9bb9b4cdf218 | [
"Apache-2.0"
] | null | null | null | Project3/test_main.py | veronikadim99/Wissenschaftliches-Rechnen | 3b7c86e9488bf434f3ad1d590f5b9bb9b4cdf218 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import unittest
from main import power_iteration, load_images, setup_data_matrix, calculate_pca, accumulated_energy, project_faces, \
identify_faces
from lib import visualize_eigenfaces, plot_singular_values_and_energy, plot_identified_faces
class Tests(unittest... | 41.691589 | 120 | 0.635956 |
92bb9babe840d176a211d0b6f3653a9fa6fad339 | 11,633 | py | Python | Packs/MailListener_-_POP3/Integrations/MailListener_POP3/MailListener_POP3.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/MailListener_-_POP3/Integrations/MailListener_POP3/MailListener_POP3.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/MailListener_-_POP3/Integrations/MailListener_POP3/MailListener_POP3.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
import poplib
import base64
import quopri
from email.parser import Parser
from htmlentitydefs import name2codepoint
from HTMLParser import HTMLParser, HTMLParseError
''' GLOBALS/PARAMS '''
SERVER = demisto.params().g... | 31.611413 | 112 | 0.581621 |
13a56c1a124274ac135fb4660130f866c08d3e0b | 733 | py | Python | tests/onegov/core/test_datamanager.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/core/test_datamanager.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/core/test_datamanager.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import os
import transaction
from onegov.core.datamanager import FileDataManager
def test_file_data_manager_commit(temporary_directory):
data = 'data'.encode('utf-8')
path = '{}/a.txt'.format(temporary_directory)
FileDataManager.write_file(data, path)
assert not os.path.exists(path)
transaction... | 22.212121 | 55 | 0.706685 |
b9abc0d330e08eb91d69a0e9a1e877248f5ddf1a | 7,382 | py | Python | applications/sentiment_analysis/pp_minilm/train.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | applications/sentiment_analysis/pp_minilm/train.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | applications/sentiment_analysis/pp_minilm/train.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 45.850932 | 135 | 0.643999 |
bc7cfd5b8651bca24d23beb4c20091b29ec53fac | 2,275 | py | Python | pySchloss/schloss_config.py | ruum42/pySchloss | f1415b48187ef0966019051e7681ae59a274215b | [
"Apache-2.0"
] | 12 | 2015-02-14T15:15:40.000Z | 2020-06-23T12:32:05.000Z | pySchloss/schloss_config.py | hassoon1986/pySchloss | f1415b48187ef0966019051e7681ae59a274215b | [
"Apache-2.0"
] | null | null | null | pySchloss/schloss_config.py | hassoon1986/pySchloss | f1415b48187ef0966019051e7681ae59a274215b | [
"Apache-2.0"
] | 7 | 2015-07-29T18:54:37.000Z | 2021-01-27T17:24:37.000Z | #!/usr/bin/python2
# -*- coding: utf-8 -*-
from itertools import combinations
__schloss_data_directory__ = '../data/'
schloss_pickle_file = 'pySchloss.pkl'
schloss_ini_file = 'config.ini'
ini_section_alias = 'Alias'
import os
import os.path
import pickle
import ConfigParser
import re
class ProjectPathNotFound(Excep... | 27.743902 | 75 | 0.62989 |
bc9a6425655ae894a596fddd4da8d573705aaa16 | 3,729 | py | Python | parser/Parser.py | weidler/tyrex | 76a3d2c36405b1213f230a7a414c2741237933f8 | [
"MIT"
] | 1 | 2015-12-08T15:11:15.000Z | 2015-12-08T15:11:15.000Z | parser/Parser.py | weidler/tyrex | 76a3d2c36405b1213f230a7a414c2741237933f8 | [
"MIT"
] | null | null | null | parser/Parser.py | weidler/tyrex | 76a3d2c36405b1213f230a7a414c2741237933f8 | [
"MIT"
] | null | null | null | import re
from html2text import *
class Parser():
"""
Parser class that contains basic functionality for file reading and the main normalization method.
Can be used to parse a single file and get the result. To process multiple Files use MultiParser (subclass)
@parameters
filename string the name/path of the fil... | 30.818182 | 110 | 0.621614 |
4c11e5baccb94977cda069e361af3664723d83d0 | 474 | py | Python | documents/normal-distribution-z/generate_numbers.py | RalfGuder/LaTeX-examples | a1bf9fe422969be1ca4674394ebd2170c07f7693 | [
"MIT"
] | 1,231 | 2015-01-07T04:04:25.000Z | 2022-03-31T17:43:29.000Z | documents/normal-distribution-z/generate_numbers.py | DoubleL61/LaTeX-examples | cd0d97f85fadb59b7c6e9062b37a8bf7d725ba0c | [
"MIT"
] | 5 | 2015-05-10T13:10:47.000Z | 2021-05-02T21:28:49.000Z | documents/normal-distribution-z/generate_numbers.py | DoubleL61/LaTeX-examples | cd0d97f85fadb59b7c6e9062b37a8bf7d725ba0c | [
"MIT"
] | 400 | 2015-01-05T06:22:18.000Z | 2022-03-19T04:07:59.000Z | #!/usr/bin/env python
"""
Generate the LaTeX code for a table of the PPF of a normal distribution.
PPF stands for Percent point function (inverse of cdf - percentiles).
"""
from scipy.stats import norm
from numpy import arange
for x in arange(0.0, 1.0, 0.1):
line = "\\textbf{%0.1f} & " % x
values = [norm.pp... | 26.333333 | 73 | 0.618143 |
d5d931ddc81a15284e6bbab913da86a367341866 | 1,620 | py | Python | sentinel/vpn/utils.py | allagog0x01/sentwg | 52285ecf2b03c30a78901a29a7af96c8ab5764c8 | [
"Apache-2.0"
] | null | null | null | sentinel/vpn/utils.py | allagog0x01/sentwg | 52285ecf2b03c30a78901a29a7af96c8ab5764c8 | [
"Apache-2.0"
] | null | null | null | sentinel/vpn/utils.py | allagog0x01/sentwg | 52285ecf2b03c30a78901a29a7af96c8ab5764c8 | [
"Apache-2.0"
] | null | null | null | import re
import subprocess
def convert_to_seconds(time_in_words):
secs = 0
def to_secs(s):
mat = re.match(r"((?P<hours>\d+)\s?hour)?\s?((?P<minutes>\d+)\s?min)?\s?((?P<seconds>\d+)\s?sec)?", s)
secs = 0
secs += int(mat.group("hours")) * 3600 if mat.group("hours") else 0
secs +... | 30.566038 | 110 | 0.511111 |
fc4905d6abd1cf0caa00831384e676c94e297162 | 2,109 | py | Python | software/supervisor/views/HandyNbView.py | ghsecuritylab/project-powerline | 6c0ec13bbfc11c3790c506f644db4fe45021440a | [
"MIT"
] | null | null | null | software/supervisor/views/HandyNbView.py | ghsecuritylab/project-powerline | 6c0ec13bbfc11c3790c506f644db4fe45021440a | [
"MIT"
] | null | null | null | software/supervisor/views/HandyNbView.py | ghsecuritylab/project-powerline | 6c0ec13bbfc11c3790c506f644db4fe45021440a | [
"MIT"
] | 1 | 2020-03-08T01:50:58.000Z | 2020-03-08T01:50:58.000Z | """
comment
"""
from PyQt5.QtWidgets import QWidget, QPushButton, QGridLayout, QLineEdit
class HandyNbView(QWidget):
def __init__(self, parent):
super(HandyNbView, self).__init__(parent)
self.handy_nb = '' #saved handynumber
self.grid = QGridLayout()
self.grid.setSpacing(2)
... | 31.477612 | 72 | 0.598388 |
53a3256e928332e13e9971b0e14d74510bc2fb51 | 3,786 | py | Python | 20-hs-redez-sem/groups/01-decentFS/misc/bacnet1/event.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 8 | 2020-03-17T21:12:18.000Z | 2021-12-12T15:55:54.000Z | 20-hs-redez-sem/groups/01-decentFS/misc/bacnet1/event.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 2 | 2021-07-19T06:18:43.000Z | 2022-02-10T12:17:58.000Z | 20-hs-redez-sem/groups/01-decentFS/misc/bacnet1/event.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | #!/usr/bin/env python3
# lib/event.py
# Jan 2020 <christian.tschudin@unibas.ch>
''' event data structure (="log entry")
+-event------------------------------------------------------------------+
| +-meta---------------------------------------+ |
| | feed_id, seq_no, h_prev, sign_info, h... | 29.811024 | 80 | 0.506075 |
ab189e4fdea78e471d1598412dbe5435326aa0b3 | 3,138 | py | Python | src/onegov/town6/views/resource.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/town6/views/resource.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/town6/views/resource.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.core.security import Public, Private
from onegov.org.views.resource import view_resources, get_room_form, \
get_daypass_form, handle_new_room, handle_new_daypass, \
get_resource_form, handle_edit_resource, view_resource, \
handle_cleanup_allocations, view_occupancy, \
view_resource_subscrib... | 40.753247 | 79 | 0.758445 |
db61ecd69f978e84c7f3a5a9f70e95563d333e02 | 235 | py | Python | 7-assets/_SNIPPETS/bryan-guner-gists/pyenum2string/enum-2-string.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/_SNIPPETS/bryan-guner-gists/pyenum2string/enum-2-string.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/_SNIPPETS/bryan-guner-gists/pyenum2string/enum-2-string.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | # Converts an enumeration to a printable string.
#
def enumToString(constants, enum, elem):
all = constants.all_values(enum)
for e in all.keys():
if str(elem) == str(all[e]):
return e
return "<unknown>"
| 26.111111 | 48 | 0.621277 |
91e5ffdbcbeb8fd8095cb23f7f2b1bf4d5539098 | 5,806 | py | Python | paddlenlp/datasets/wmt14ende.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | paddlenlp/datasets/wmt14ende.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | paddlenlp/datasets/wmt14ende.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | import collections
import os
import warnings
from paddle.io import Dataset
from paddle.dataset.common import md5file
from paddle.utils.download import get_path_from_url
from paddlenlp.utils.env import DATA_HOME
from . import DatasetBuilder
__all__ = ['WMT14ende']
class WMT14ende(DatasetBuilder):
'''
This da... | 43.007407 | 80 | 0.573028 |
72bf9863fc14133026673011d872899fc96220c8 | 690 | py | Python | _get_realized_.py | paulowiz/AiesecBot | ac77cc5426ed6382772603afa8015208020c0fba | [
"MIT"
] | 6 | 2019-10-18T17:47:30.000Z | 2021-03-18T06:04:06.000Z | _get_realized_.py | paulowiz/AiesecBot | ac77cc5426ed6382772603afa8015208020c0fba | [
"MIT"
] | 1 | 2020-09-24T08:17:29.000Z | 2020-09-28T08:16:39.000Z | _get_realized_.py | paulowiz/AiesecBot | ac77cc5426ed6382772603afa8015208020c0fba | [
"MIT"
] | 3 | 2019-10-20T18:40:20.000Z | 2021-04-15T01:27:59.000Z | import psycopg2.extras
from controller import RobotRotine as rr
from api import graphqlconsume, querygraphql
import time
import datetime
import numpy as np
import schedule
def job():
robo2 = rr.RobotRotine()
dtfim = np.datetime64(datetime.datetime.now())
dtinit = np.datetime64(dtfim) - np.timedelta64(110,... | 25.555556 | 60 | 0.688406 |
72ced540713909e5a3fb6f18cdbe13858a40b871 | 28,056 | py | Python | Packs/Workday/Integrations/WorkdayIAMEventsGenerator/WorkdayIAMEventsGenerator.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Workday/Integrations/WorkdayIAMEventsGenerator/WorkdayIAMEventsGenerator.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Workday/Integrations/WorkdayIAMEventsGenerator/WorkdayIAMEventsGenerator.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | # noqa: F401
from flask import Flask, jsonify
from gevent.pywsgi import WSGIServer
from CommonServerPython import *
FIRST_RUN_REPORT = {
"Report_Entry": [
{
"Employee_Type": "Regular",
"Leadership": "Yes-HQ",
"Work_Country_Code": "840",
"Street_Address": "300... | 40.838428 | 116 | 0.559524 |
be9f272fbb8ad4237daf7d8186aa07fed9c5e8af | 53 | py | Python | src/mvg/__init__.py | dfrommi/alfred-mvv | 5310f80ca3e17686fb534db0e53a613043a1b352 | [
"MIT"
] | 2 | 2019-07-07T19:24:15.000Z | 2019-10-16T09:07:25.000Z | src/mvg/__init__.py | dfrommi/alfred-mvv | 5310f80ca3e17686fb534db0e53a613043a1b352 | [
"MIT"
] | 1 | 2020-06-05T16:49:17.000Z | 2020-06-05T16:49:17.000Z | src/mvg/__init__.py | dfrommi/alfred-mvv | 5310f80ca3e17686fb534db0e53a613043a1b352 | [
"MIT"
] | 2 | 2017-04-03T11:47:59.000Z | 2019-10-16T09:09:26.000Z | from .api import MVG
from .favorites import Favorites | 26.5 | 32 | 0.830189 |
43d39546ea2d1046b2d090b13c9a78e4f68b1b01 | 246 | py | Python | Python/B2-Wuerfel/Wuerfel.py | frankyhub/Calliope | 335f0ef5ca9bcf57e14166319501ec9086bc09bf | [
"MIT"
] | null | null | null | Python/B2-Wuerfel/Wuerfel.py | frankyhub/Calliope | 335f0ef5ca9bcf57e14166319501ec9086bc09bf | [
"MIT"
] | null | null | null | Python/B2-Wuerfel/Wuerfel.py | frankyhub/Calliope | 335f0ef5ca9bcf57e14166319501ec9086bc09bf | [
"MIT"
] | null | null | null | def on_button_pressed_a():
basic.show_number(randint(1, 6))
input.on_button_pressed(Button.A, on_button_pressed_a)
def on_button_pressed_b():
basic.show_number(randint(1, 4))
input.on_button_pressed(Button.B, on_button_pressed_b)
| 30.75 | 55 | 0.772358 |
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