seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
22265028586 | from mensajes import separador_chats
from usuarios import inicio_sesion
from parametros import VOLVER_FRASE, ABANDONAR_FRASE
from datetime import datetime, date
def lista_grupos():
#lee el archivo
with open('grupos.csv', 'rt') as archivo_grupos:
lista_grupos = archivo_grupos.readlines()
for x in ra... | Alzvil/IIC2233-Progra-Avanzada-Tareas-2021-1 | Tareas/T0/grupos.py | grupos.py | py | 6,884 | python | es | code | 0 | github-code | 36 |
23268928678 | #import sys, os
#sys.path.append(os.path.abspath(""))
from functionsDB.ConnectionDB import abrirconexion, cerrarconexion
from functionsDB.entity.comentario import Comentario
from datetime import datetime
def altacomentario(comentario):
cur,con = abrirconexion()
sql = "insert into comentario(fecha,hora,conteni... | exegonzalez/Taller-de-Integracion | App/src/functionsDB/ABMComentario.py | ABMComentario.py | py | 2,295 | python | es | code | 1 | github-code | 36 |
11545489040 | from logging import INFO, getLogger, StreamHandler, Formatter, DEBUG, INFO
from os import environ
from urlparse import urlparse
from gunicorn.glogging import Logger
from log4mongo.handlers import MongoHandler, MongoFormatter
# parse the MONGOLAB_URI environment variable to get the auth/db info
MONGOLAB_URI_PARSED =... | mapio/heroku-log4mongo | heroku-log4mongo/logger.py | logger.py | py | 2,096 | python | en | code | 5 | github-code | 36 |
939034143 | from datetime import datetime
from src.app import db, app
import uuid
from src.models.mixins import BaseMixin
from src.helpers import *
from sqlalchemy import exc
class BookRating(BaseMixin, db.Model):
__tablename__ = "book_ratings"
rating_id = db.Column(db.String(50), primary_key=True, default=lambda: uuid.u... | Aaronh3k/book-status-api | src/models/book_ratings.py | book_ratings.py | py | 7,769 | python | en | code | 0 | github-code | 36 |
150466023 | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse, HttpResponseRedirect
from django.urls import reverse, reverse_lazy
from django.views import generic
from django.views import View
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from .models import Pla... | edbranson/scorekeeping | scorekeeping/play/views.py | views.py | py | 3,501 | python | en | code | 0 | github-code | 36 |
17613529074 | import pandas as pd, numpy as np
import pytzer as pz
from pytzer.libraries import Moller88
# Import data and prepare for tests
pz = Moller88.set_func_J(pz)
data = pd.read_csv("tests/data/M88 Table 4.csv").set_index("point")
m_cols = ["Na", "Ca", "Cl", "SO4"]
params = Moller88.get_parameters(solutes=m_cols, temperature... | mvdh7/pytzer | tests/test_M88.py | test_M88.py | py | 984 | python | en | code | 15 | github-code | 36 |
23923499833 | import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, concatenate, Conv2D, UpSampling2D
from tensorflow.keras.layers import GlobalAveragePooling2D, Dense, LeakyReLU
from tensorflow.keras import backend as K
from keras.layers.core import Activation
from keras.utils.... | vosps/tropical_cyclone | wgan_no_rain/models.py | models.py | py | 15,850 | python | en | code | 8 | github-code | 36 |
18877148508 | # coding=utf-8
import frontik.handler
class Page(frontik.handler.PageHandler):
def get_page(self):
self_uri = self.request.host + self.request.path
invalid_json = self.get_argument('invalid', 'false')
data = {
'req1': self.post_url(self_uri, data={'param': 1}),
'r... | nekanek/frontik-without-testing | tests/projects/test_app/pages/json_page.py | json_page.py | py | 936 | python | en | code | 1 | github-code | 36 |
40761258837 | # Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution(object):
def addTwoNumbers(self, l1, l2):
"""
:type l1: ListNode
:type l2: ListNode
:rtype: ListNode
"... | QingbiaoLi/LeetCodeFighter | List/445_AddTwoNumberII.py | 445_AddTwoNumberII.py | py | 1,371 | python | en | code | 0 | github-code | 36 |
28090834284 | import pytest
import config
import random
from datetime import datetime
from flask.testing import FlaskClient
from webapp import create_app, db
from flask import current_app
from webapp.models import Theme, Timebox, Task, Project
@pytest.fixture(scope='function')
def models():
return {'timebox': Timebox}
@pytest.... | thekitbag/todoodleoo-server | tests/conftest.py | conftest.py | py | 5,630 | python | en | code | 0 | github-code | 36 |
35416395710 | import mnml
from wiki import Wiki
from tmpl import Tmpl, quote, unquote
wiki = Wiki()
class T(Tmpl):
_base = """<html>
<head><title>Wiki</title></head>
<body><h1>${block t}${endblock}</h1>${block c}${endblock}</body>
</html>"""
_index = """${extends base}
${block t}All Pages${endblock}
... | sma/microwebframeworks | mnml-tmpl.py | mnml-tmpl.py | py | 1,863 | python | en | code | 6 | github-code | 36 |
2911463134 | import torch.nn as nn
import torch.nn.functional as F
class NeuralNet(nn.Module):
def __init__(self):
super(NeuralNet, self).__init__()
self.conv1 = nn.Conv2d(1, 3, kernel_size=(3, 3), stride=1, padding=0)
self.conv2 = nn.Conv2d(3, 6, kernel_size=(4, 4), stride=1, padding=0)
sel... | arunsanknar/AlectioExamples | image_classification/fashion-mnist-and-mnist/model.py | model.py | py | 870 | python | en | code | 0 | github-code | 36 |
2762523271 | from flask import Flask, request, abort
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError
)
from linebot.models import (
MessageEvent, TextMessage, TextSendMessage,
)
app = Flask(__name__)
line_bot_api = LineBotApi('1l6c8hOlVNiLh23YRFrdl1TxJxK4KUZpp... | vacharich1/testme | bot_test.py | bot_test.py | py | 1,126 | python | en | code | 0 | github-code | 36 |
9045055933 | from typing import Optional
from xml.etree.ElementTree import Element, Comment
from api.mvc.model.data.content_model import ContentModel
from api.mvc.model.data.data_model import DataModel
from api.mvc.model.data.data_type import DataType
from api_core.exception.api_exception import ApiException
from api_core.helper.f... | seedbaobab/alfresco_helper | api/mvc/model/service/file/content_model_service.py | content_model_service.py | py | 30,329 | python | en | code | 0 | github-code | 36 |
5929748102 | from flask_restx import Namespace, Resource, reqparse
from main.model.ORM import *
search_ns = Namespace('searching', description='search recipes by either recipe\'s name or ingredients list')
search_name_rep = reqparse.RequestParser()
search_name_rep.add_argument('name', type=str)
search_name_rep.add_argument... | SHFeMIX/Comp3900 | backend/main/controller/search.py | search.py | py | 4,399 | python | en | code | 3 | github-code | 36 |
28517096997 | # Opus/UrbanSim urban simulation software.
# Copyright (C) 2010-2011 University of California, Berkeley, 2005-2009 University of Washington
# See opus_core/LICENSE
from opus_core.variables.variable import Variable, ln
from variable_functions import my_attribute_label
class county_id(Variable):
"""county ... | psrc/urbansim | psrc/household/county_id.py | county_id.py | py | 1,610 | python | en | code | 4 | github-code | 36 |
18515443128 | from sets import Set
from collections import defaultdict
class MagicDictionary(object):
def __init__(self):
"""
Initialize your data structure here.
"""
def buildDict(self, dict):
"""
Build a dictionary through a list of words
:type dict: List[str]
:rtyp... | jimmy623/LeetCode | Solutions/Implement Magic Dictionary.py | Implement Magic Dictionary.py | py | 1,413 | python | en | code | 0 | github-code | 36 |
28519396947 | # PopGen 1.1 is A Synthetic Population Generator for Advanced
# Microsimulation Models of Travel Demand
# Copyright (C) 2009, Arizona State University
# See PopGen/License
DEFAULT_PERSON_PUMS2000_QUERIES = [ "alter table person_pums add column agep bigint",
"alter table person_pu... | psrc/urbansim | synthesizer/gui/default_census_cat_transforms.py | default_census_cat_transforms.py | py | 42,838 | python | en | code | 4 | github-code | 36 |
29403005622 | import rooms
import asyncio
from asgiref.sync import async_to_sync
import json as encoder
class WebsocketFireClass():
@async_to_sync
async def new_chat_message(self, state):
encoded_state = encoder.dumps({'type': 'new_chat_message', 'data': state})
print("NEW CHAT MESSAGE, START FIRING...")
... | anotherrandomnickname/ffms-websocket-py | wsfire.py | wsfire.py | py | 532 | python | en | code | 0 | github-code | 36 |
25540372658 | def run():
mi_diccionario = {
"llave1": 1,
"llave2": 2,
"llave3": 3,
}
# print(mi_diccionario["llave1"])
# print(mi_diccionario["llave2"])
# print(mi_diccionario["llave3"])
poblacion_paises = {
"Argentina" : 40234658,
"Brasil" : 70548621,
"Chile" ... | MorenoChristian/Curso-Basico-de-Python-Platzi | Diccionarios.py | Diccionarios.py | py | 901 | python | es | code | 0 | github-code | 36 |
17774181352 | from rest_framework.permissions import BasePermission
from noticeboard.utils.notices import (
user_allowed_banners,
has_super_upload_right,
)
class IsUploader(BasePermission):
"""
A custom Django REST permission layer to check authorization
over different actions on notices.
"""
def has_... | IMGIITRoorkee/omniport-app-noticeboard | permissions/uploader.py | uploader.py | py | 1,591 | python | en | code | 6 | github-code | 36 |
5049475129 | # Configuration file for the Sphinx documentation builder.
#
# For the full list of built-in configuration values, see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Project information -----------------------------------------------------
# https://www.sphinx-doc.org/en/master... | NVIDIA/TensorRT-LLM | docs/source/conf.py | conf.py | py | 2,943 | python | en | code | 3,328 | github-code | 36 |
43343758366 | def hanoi(n, src, via, dst) :
global cnt
if n == 1 :
cnt += 1
# print(f"{src} -> {dst}")
else :
hanoi(n - 1, src, dst, via)
hanoi(1, src, via, dst)
hanoi(n - 1, via, src, dst)
N = int(input())
cnt = 0
hanoi(N, "A", "B", "C")
print(cnt) | RelexSun/python-jupyter-notebook | PythonAlgorithm/Alg.2.4/solve.py | solve.py | py | 262 | python | en | code | 0 | github-code | 36 |
18745919637 | from telegram import Bot, Update, ParseMode
from telegram.ext import run_async
import time
from bot.modules.helper_funcs.extraction import extract_user
from bot import dispatcher
from bot.modules.disable import DisableAbleCommandHandler
@run_async
def gdpr(bot: Bot, update: Update):
message = update.effective_... | koppiesttiajaykumar/bot | bot/modules/gdpr.py | gdpr.py | py | 914 | python | en | code | 0 | github-code | 36 |
71075117545 | import collections
class Solution:
def removeStones(self, stones: List[List[int]]) -> int:
stones = list(map(tuple, stones))
s = set(stones)
dx = collections.defaultdict(set)
dy = collections.defaultdict(set)
for i,j in s:
dx[i].add(j)
... | nango94213/Leetcode-solution | 0947-most-stones-removed-with-same-row-or-column/0947-most-stones-removed-with-same-row-or-column.py | 0947-most-stones-removed-with-same-row-or-column.py | py | 879 | python | en | code | 2 | github-code | 36 |
41224759283 | '''
Created on 15-Oct-2013
@author: Kashaj
'''
import re, sqlite3,os
db = sqlite3.connect('Train_Database.db')
db.text_factory = str
db.row_factory = sqlite3.Row
db.execute('drop table if exists TrainStationNode')
db.execute('create table TrainStationNode(Train_Num char[6],stn_code char[6],route int,arr_time text,dep... | ShaikAsifullah/Indian-Railways-Informal | getEdges.py | getEdges.py | py | 2,447 | python | en | code | 1 | github-code | 36 |
75138929384 | from loja.models import Produto
from loja.models import Pedido
from loja.models import CATEGORIAS
from rest_framework import serializers
class ProdutoSerializer(serializers.ModelSerializer):
class Meta:
model = Produto
fields = (
'id',
'nome',
'descricao',
... | jonasfsilva/desafio_intmed | loja/serializers.py | serializers.py | py | 1,298 | python | pt | code | 0 | github-code | 36 |
20780721557 | import os #to access files
from PIL import Image #to open JPEGs
import numpy as np
#-------------------------------Custom INCLUDES-------------------------------
import lookupTables as lT
#-------------------------------Function DEFINITIONS----------------------------
def fittingEstimator(inDir, file_name, ... | nowaythatsok/GNU_lapser | version_01/estimators.py | estimators.py | py | 1,924 | python | en | code | 0 | github-code | 36 |
2671289236 | import os
import shutil
from fastapi import UploadFile
# UPLOAD_DIR = "model_upload_dir"
def upload_file(upload_dirname: str, file: UploadFile, filename: str):
if file and filename:
fileobj = file.file
target_path = os.path.join(upload_dirname, filename)
target_dir = os.path.dirname(targe... | w-okada/voice-changer | server/restapi/mods/FileUploader.py | FileUploader.py | py | 1,402 | python | en | code | 12,673 | github-code | 36 |
19567593432 | import requests
import csv
from bs4 import BeautifulSoup
import json
from collections import namedtuple
from typing import List, Dict
TOPICS_NUMBER = 6
LEVELS_NUMBER = 5
MIN_LEVEL_CONTEST_ID = "030813"
MAX_LEVEL_CONTEST_ID = "030817"
TABLE_URL = ("https://ejudge.lksh.ru/standings/dk/stand.php"
"?from={}&t... | daniil-konovalenko/Cprime-practice-results | load_results.py | load_results.py | py | 3,803 | python | en | code | 0 | github-code | 36 |
24401528809 | """Handles the creating of obstacles within the game instance."""
import pygame
from src.scripts.coordinate import Coordinate
class Obstacle:
"""Class for handling the creating of obstables."""
def __init__(self) -> None:
self.size = (50, 300)
self.position = [
Coordinate(700, 400)... | Carson-Fletcher/PY_Flappy_Bird | src/scripts/obstacle.py | obstacle.py | py | 1,007 | python | en | code | 0 | github-code | 36 |
43431199600 | #!/usr/bin/env python3
import unittest
from game import *
TEST_BOARD01 = [
# 0123456789ABCDEFGHI
" W W W W ", # 0
" ", # 1
"W W W W", # 2
" W W W ", # 3
" W P P W ", # 4
"W W W W W W", # 5
" W P W ", # 6
" W ... | AquaSpare/Alea-Evangelii-group-g | tests.py | tests.py | py | 14,013 | python | en | code | 0 | github-code | 36 |
24925255734 | import pygame
pygame.init()
screen_width = 480
screen_height = 640
screen = pygame.display.set_mode((screen_width, screen_height))
background = pygame.image.load("D:/coding/python/pygame_basic/background.png")
pygame.display.set_caption("offRo")
running = True
while running:
for event in pygame.event.get():
... | pla2n/python_practice | python/pygame_basic/2_background.py | 2_background.py | py | 496 | python | en | code | 0 | github-code | 36 |
25946850418 | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def maxDepth(self, root: Optional[TreeNode]) -> int:
result = 0
stack = [(root, 1)]
... | dzaytsev91/leetcode-algorithms | easy/104_maximum_depth_binary_tree.py | 104_maximum_depth_binary_tree.py | py | 631 | python | en | code | 2 | github-code | 36 |
41483919268 | import json
import requests
from MGP_SDK import process
from MGP_SDK.auth.auth import Auth
class Pipelines:
def __init__(self, auth: Auth):
self.auth = auth
self.api_version = self.auth.api_version
self.base_url = f'{self.auth.api_base_url}/ordering/{self.api_version}/pipelines'
... | Maxar-Corp/maxar-geospatial-platform | src/MGP_SDK/ordering_service/pipelines.py | pipelines.py | py | 3,242 | python | en | code | 2 | github-code | 36 |
14963550829 | import shutil
import logging
from logging.config import fileConfig
import sys
import socket
fileConfig('log.ini', defaults={'logfilename': 'bee.log'})
logger = logging.getLogger('health')
# get hard drive space
total, used, free = shutil.disk_usage("/")
percent_used = used / total * 100.0
percent_used = '{:0.2f}'.fo... | jenkinsbe/hivekeepers | get_server_health.py | get_server_health.py | py | 1,049 | python | en | code | 0 | github-code | 36 |
41560046268 | # -*- coding: utf-8 -*-
# @Time : 2018/5/6 20:21
# @Author : Narata
# @Project : android_app
# @File : insert_comment.py
# @Software : PyCharm
import pymysql
import json
db = pymysql.connect('localhost', 'root', 'narata', 'android', charset='utf8')
cursor = db.cursor()
with open('../dataset/review.json',... | narata/android_app | databases/mysql/insert_comment.py | insert_comment.py | py | 874 | python | en | code | 0 | github-code | 36 |
17793632581 | n = int(input())
s = input()
ans = 0
for i in range(n):
if i + ans*2 > n:
break
for j in range(ans, n - i // 2):
print(s[i:j+1], end='=')
print(s[i + j+1:i + j + j])
if s[i:j+1] == s[i + j+1:i + j + j]:
ans = max(ans, j-i+1)
print(ans)
if i + ... | fastso/learning-python | atcoder/contest/abc141_e.py | abc141_e.py | py | 364 | python | en | code | 0 | github-code | 36 |
4115074101 | from util import *
if __name__ == '__main__':
# pass
getAllLoadChange()
getLoadChangeFile()
f=open('initLoad.log','w')
for i in range(1, 9):
for j in range(1, 10):
leo,load = getLoad('{}{}'.format(i, j))
f.write('{},{}\n'.format(leo,load))
print([1,2... | LaputaRobot/STK_MATLAB | PMetis/getSatLoad.py | getSatLoad.py | py | 329 | python | en | code | 0 | github-code | 36 |
28984387817 | import sys
input = sys.stdin.readline
score = []
s_score = []
answer = []
for i in range(8):
score.append(int(input()))
s_score = sorted(score, reverse=True)
s_score = s_score[:5]
for i in s_score:
answer.append(score.index(i)+1)
answer.sort()
print(sum(s_score))
print(*answer) | youkyoungJung/solved_baekjoon | 백준/Silver/2822. 점수 계산/점수 계산.py | 점수 계산.py | py | 311 | python | en | code | 0 | github-code | 36 |
6071785481 | """Create multi-level pandas dataframe for kinematic data in OpenSim style.
"""
__author__ = "Marcos Duarte, https://github.com/BMClab/"
__version__ = "1.0.0"
__license__ = "MIT"
import numpy as np
import pandas as pd
def dfmlevel(x, labels=None, index=None, n_ini=0, names=['Marker', 'Coordinate'],
... | BMClab/BMC | functions/dfmlevel.py | dfmlevel.py | py | 1,523 | python | en | code | 398 | github-code | 36 |
22169474472 | import memcache, random, string
mc = memcache.Client(['127.0.0.1:11211'], debug=0)
HEAD_KEY = "mqueueheadpointer"
TAIL_KEY = "mqueuetailpointer"
SEPARATOR = "___"
VALUE_KEY = "value"
LINK_KEY = "link"
def random_id():
rid = ''
for x in range(8): rid += random.choice(string.ascii_letters + string.digits)
return ri... | codescrapper/mqueue | mqueue.py | mqueue.py | py | 1,142 | python | en | code | 1 | github-code | 36 |
18792168810 | import sys
from fractions import Fraction
prog, name, reps, lead = sys.argv[:4]
lead, reps = int(lead), int(reps)
L = [Fraction(s) for s in sys.argv[4:]]
L = L * reps
pL = []
def add_invert(n,d):
p = 1/d
q = n + p
pL.append((str(d), str(p), str(n), str(q)))
return q
def evaluate(L):
d = L.pop()
... | telliott99/short_takes | contd_fracs.py | contd_fracs.py | py | 604 | python | en | code | 0 | github-code | 36 |
71578859943 | #!/usr/bin/env python
import vtk
def main():
font_size = 24
# Create the text mappers and the associated Actor2Ds.
# The font and text properties (except justification) are the same for
# each single line mapper. Let's create a common text property object
singleLineTextProp = vtk.vtkTextProperty... | lorensen/VTKExamples | src/Python/Annotation/MultiLineText.py | MultiLineText.py | py | 7,461 | python | en | code | 319 | github-code | 36 |
19856862641 | # -*-- encoding=utf-8 --*-
import pandas as pd
import xlsxwriter
import os
import platform
from pandas import ExcelWriter
from util import main_function,plot_trend
def __read_one_csv_file(inCsvFileName):
try:
callFailData=pd.read_csv(inCsvFileName,
dtype={'呼叫对方号码': ob... | sundaygeek/bigdata-cloud-analysis | cloud_in_callfail.py | cloud_in_callfail.py | py | 18,222 | python | en | code | 0 | github-code | 36 |
74551607144 | """
Operadores Lógicos
and, or, not
in e not in
"""
"""
nome = "Juliana"
if 'Ju' not in nome:
print('Executei.')
else:
print("Existe o texto.")
"""
usuario = input('Nome de usuário: ')
senha = input('Senha do usuário: ')
usuario_bd = 'Juliana'
senha_bd = '123456'
if usuario_bd == usuario and senha_bd == sen... | JudyCoelho/exerciciosCursoPython | aula12/aula12.py | aula12.py | py | 424 | python | pt | code | 0 | github-code | 36 |
20756086605 | """
Created on Thu Sep 8 14:37:34 2016
@author: Patrick Trainor
@course: Artificial Intelligence
@title: Project 2
Code for embedding of figure in tk credited to:
http://matplotlib.org/examples/user_interfaces/embedding_in_tk.html
Code for labeling points on figure credited to "unknown" @
http://stackov... | trainorp/srch | TSP_BFS_DFS.py | TSP_BFS_DFS.py | py | 6,501 | python | en | code | 0 | github-code | 36 |
13670330701 | import random
from random import choice
import discord
import asyncio
from discord.ext import commands
import requests
bot = commands.Bot(command_prefix='.')
class games(commands.Cog):
def __init__(self, bot):
self.bot = bot
determine_flip = [1, 0]
@commands.command()
async d... | BrandonLee28/Cardinal4 | games.py | games.py | py | 4,082 | python | en | code | 0 | github-code | 36 |
32489489942 | #-*-coding:utf-8 -*-
from django.db import models
from django.utils.translation import ugettext_lazy as _
__all__ = ['Department']
class Department(models.Model):
name = models.CharField(max_length=30,unique=True,blank=False,default='guest',verbose_name=_('Department'))
# principal = models.ManyToManyField(U... | opnms/opnms | users/models/department.py | department.py | py | 614 | python | en | code | 0 | github-code | 36 |
71362096425 | import os
import logging
from logging.handlers import RotatingFileHandler
#Bot token @Botfather
TG_BOT_TOKEN = os.environ.get("TG_BOT_TOKEN", "")
#Your API ID from my.telegram.org
APP_ID = int(os.environ.get("APP_ID", ""))
#Your API Hash from my.telegram.org
API_HASH = os.environ.get("API_HASH", "")
#Your db channe... | RymOfficial/HackerFileShare | config.py | config.py | py | 3,331 | python | en | code | 2 | github-code | 36 |
15066809328 | # This file is part of ZNC-Signal <https://github.com/poppyschmo/znc-signal>,
# licensed under Apache 2.0 <http://www.apache.org/licenses/LICENSE-2.0>.
import pytest
from copy import deepcopy
from collections import namedtuple
from conftest import signal_stub, signal_stub_debug, all_in
signal_stub = signal_stub # qui... | poppyschmo/znc-signal | tests/test_hooks.py | test_hooks.py | py | 13,691 | python | en | code | 1 | github-code | 36 |
41756790109 | # Implementation of pseudocode for generating instances for
# Discrete Knapsack Problem (Chapter 2.5)
# Link:
# http://radoslaw.idzikowski.staff.iiar.pwr.wroc.pl/instruction/zto/problemy.pdf
from RandomNumberGenerator import RandomNumberGenerator
if __name__ == "__main__":
# Step 0, initalization of used variable... | F3mte/L-Zaawansowane-techniki-optymalizacji | DoubleKnapsackProblemGenerator.py | DoubleKnapsackProblemGenerator.py | py | 962 | python | en | code | 0 | github-code | 36 |
35398230138 | from __future__ import (nested_scopes, generators, division, absolute_import, with_statement,
print_function, unicode_literals)
import os
import subprocess
from contextlib import closing
from StringIO import StringIO
from twitter.common.collections import maybe_list
from pants.backend.core.t... | fakeNetflix/square-repo-pants | tests/python/pants_test/tasks/test_base.py | test_base.py | py | 8,440 | python | en | code | 0 | github-code | 36 |
4578617525 | n,m,k = [int(x) for x in input().split()]
area = []
for i in range(k):
x,y,r = [int(a) for a in input().split()]
area.append([[x-r,x+r],[y-r,y+r]])
dx,dy = 0,0
for x in range(n):
cx = 0
for i in range(k):
if area[i][0][0] <= x <= area[i][0][1]:
cx +=1
dx = max(cx,dx)
for y in ran... | naphattar/Betaprogramming | Chapter 1/1042.py | 1042.py | py | 485 | python | en | code | 0 | github-code | 36 |
17952105925 | """ This file defines a mesh as a tuple of (vertices, triangles)
All operations are based on numpy ndarray
- vertices: np ndarray of shape (n, 3) np.float32
- triangles: np ndarray of shape (n_, 3) np.uint32
"""
import numpy as np
def box_trimesh(
size, # float [3] for x, y, z axis length (in meter) under box ... | ZiwenZhuang/parkour | legged_gym/legged_gym/utils/trimesh.py | trimesh.py | py | 2,093 | python | en | code | 301 | github-code | 36 |
23049817329 | ##Remove tax from a payment - start with the gross
def onePercent(taxValue, num):
value = 100 + float(taxValue)
onePC = num/value
return onePC
def desiredPercentage(onePC, desired):
value = onePC * desired
return value
def calcTax(tax, num, desired):
onePC = onePercent(tax, num)
total... | idwesar/vat-calculator | reverse_vat_calc.py | reverse_vat_calc.py | py | 701 | python | en | code | 1 | github-code | 36 |
11045288759 | from datetime import datetime
from django.shortcuts import get_object_or_404
from rest_framework import status
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticated
from rest_framework.decorators import action
from rest_framework.viewsets import GenericViewSet, ModelViewSet... | mohsen-hassani-org/teamche | todo_list/api.py | api.py | py | 3,846 | python | en | code | 0 | github-code | 36 |
72973366503 | # coded by h4sski
'''
https://adriann.github.io/programming_problems.html
Write three functions that compute the sum of the numbers
in a list: using a for-loop, a while-loop and recursion.
(Subject to availability of these constructs in your
language of choice.)
'''
list_input = [1, 2, 3, 4, 5, 6, 7]
def for_loop(... | h4sski-programming/Python | py2220.py | py2220.py | py | 866 | python | en | code | 0 | github-code | 36 |
24214471653 | from lib.api_lib import *
faker = Factory.create()
BILLING_FIRST_NAME = faker.firstName()
BILLING_LAST_NAME = faker.lastName()
BILLING_COMPANY = faker.company()
BILLING_STREET_ADD1 = faker.buildingNumber().lstrip("0")
BILLING_STREET_ADD2 = faker.streetName()
BILLING_CITY = faker.city()
BILLING_PHONE = faker.phoneNumb... | testing-sravan/tests-scripts-worked | Regression_suite_bigc/fixtures/order_coupons.py | order_coupons.py | py | 3,006 | python | en | code | 0 | github-code | 36 |
25404288175 | # -*- coding: utf-8 -*-
import torch.nn as nn
from network import Decomposition,MultiscaleDiscriminator,downsample
from utils import gradient
from ssim import SSIM
import torch
import torch.optim as optim
import torchvision
import os
import torch.nn.functional as F
from contiguous_params import ContiguousParams
class... | thfylsty/ImageFusion_DeepDecFusion | model.py | model.py | py | 11,325 | python | en | code | 5 | github-code | 36 |
73225167144 | from extra_streamlit_tools._logging import logging as logger
import streamlit as st
from typing import Any, Optional
def clear_cache(keep_keys: Optional[list[str]] = None) -> None:
"""
Resets the Streamlit cache.
Parameters
----------
keep_keys:Optional[list[str]]
Keys to not be c... | sTomerG/extra-streamlit-tools | src/extra_streamlit_tools/utils.py | utils.py | py | 2,324 | python | en | code | 0 | github-code | 36 |
29945890561 | from enaml.core.enaml_compiler import EnamlCompiler
from enaml.core.parser import parse
def compile_source(source, item, filename="<test>", namespace=None):
"""Compile Enaml source code and return the target item.
Parameters
----------
source : str
The Enaml source code string to compile.
... | codelv/enaml-web | tests/utils.py | utils.py | py | 855 | python | en | code | 99 | github-code | 36 |
36812069772 | # Code by @AmirMotefaker
# projecteuler.net
# https://projecteuler.net/problem=25
# 1000-digit Fibonacci number
# Problem 25
# The Fibonacci sequence is defined by the recurrence relation:
# Fn = Fn−1 + Fn−2, where F1 = 1 and F2 = 1.
# Hence the first 12 terms will be:
# F1 = 1
# F2 = 1
# F3 = 2
# F4 = 3
# F5... | AmirMotefaker/ProjectEuler | Problem25.py | Problem25.py | py | 1,293 | python | en | code | 1 | github-code | 36 |
8890345896 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jan 20 15:50:56 2018
@author: vitorhadad
"""
#
import numpy as np
import networkx as nx
import os
from tqdm import trange
from matching.solver.kidney_solver2 import optimal, greedy, get_two_cycles
from matching.utils.data_utils import clock_seed, evalu... | halflearned/organ-matching-rl | matching/temp/temp.py | temp.py | py | 3,852 | python | en | code | 2 | github-code | 36 |
21437705635 | from computer import TogglePuter
class BadSignal(Exception):
def __init__(self, signal):
self.message = str(signal)
class InfiniteLoop(Exception):
pass
class SignalPuter(TogglePuter):
def __init__(self):
super().__init__()
self.signal = []
def out(self, x):
value =... | philipdouglas/adventofcode | 2016/25.py | 25.py | py | 1,108 | python | en | code | 1 | github-code | 36 |
35779416431 | import time
import netsvc
from osv import fields,osv
class purchase_requisition(osv.osv):
_inherit = "purchase.requisition"
_description="Purchase Requisition"
_columns = {
'state': fields.selection([('draft','Draft'),('lv_approve2','Waitting Manager Approve'),('in_progress','In Progress'... | aryaadiputra/addons60_ptgbu_2013 | ad_purchase_requisition_double_validation/purchase_requisition.py | purchase_requisition.py | py | 2,365 | python | en | code | 0 | github-code | 36 |
7535403822 | from __future__ import print_function
#
# -*- coding: utf-8 -*-#
# eso.org
# Copyright 2011 ESO
# Authors:
# Lars Holm Nielsen <lnielsen@eso.org>
# Dirk Neumayer <dirk.neumayer@gmail.com>
#
#
# Mantis 12175: Fix release dates for images and videos
#
#
# Find wrong release_dates:
# 1) Check id with release_date - e.... | esawebb/esawebb | scripts/correct_dates.py | correct_dates.py | py | 4,493 | python | en | code | 0 | github-code | 36 |
28068719892 | stones = [2, 4, 5, 3, 2, 1, 4, 2, 5, 1]
k = 3
def check(stones, k, mid):
count = 0
for i in stones:
if i < mid:
count += 1
else:
count = 0
if count == k: # 뛰어 넘어야 하는 stone의 개수가 k개가 되면 건널 수 없다.
return 0
return 1
def solution(stones, k):
answe... | hwanginbeom/algorithm_study | 2.algorithm_test/21.03.21/징검다리 건너기_sejin.py | 징검다리 건너기_sejin.py | py | 987 | python | ko | code | 3 | github-code | 36 |
35751230673 | from util.data_util import read_energy_data
# best fit algorithm, which consistently choose the least frequency if applicable.
class bestReward():
def __init__(self, env, max_episode, ep_long):
self.env = env
self.last_deploy_core = 0
self.max_episode = max_episode
self.ep_long = ... | Tahuubinh/Adaptive_processor_frequency_IoT_offloading | code/schedule/best_reward.py | best_reward.py | py | 1,907 | python | en | code | 0 | github-code | 36 |
10535469198 | import pygame
import os
from sys import exit
WIDTH, HEIGHT = 1600, 900
pygame.init()
WIN = pygame.display.set_mode((WIDTH, HEIGHT))
pygame.display.set_caption("Buildings")
WHITE = (255, 255, 255)
FPS = 60
indx = 0
font = pygame.font.Font(None, 50)
class Building():
def __init__(self, name, offset_x, offset_y):
... | Hemant-29/pygame-project | building.py | building.py | py | 2,913 | python | en | code | 0 | github-code | 36 |
41198927211 | import logging
import json
from lxml import etree
def get_field_text(tree, path):
nsmap = {"n1": tree.getroot().nsmap['n1']}
node = tree.xpath(path, namespaces=nsmap)
if len(node) > 0:
return node[0].text
return ''
def parse_metadata(scene, xml_filename, json_filename):
logger = logging.ge... | amy-langley/irma-import | xml_operations.py | xml_operations.py | py | 1,267 | python | en | code | 0 | github-code | 36 |
16435010481 | import unittest
from selectors.NumbersFormRangeSelector import NumbersFormRangeSelector
class TestNumbersFormRangeSelector(unittest.TestCase):
def test_should_return_empty_sequence_when_empty_sequence_is_given(self):
empty_sequence = []
selector = NumbersFormRangeSelector(1, 10)
self.ass... | stardreamer/patterns | Behavioral/strategy/examples/selection/Python/Selector/tests/NumbersFormRangeSelectorTests.py | NumbersFormRangeSelectorTests.py | py | 1,106 | python | en | code | 0 | github-code | 36 |
13015450298 | import asyncio
import websockets
HOST = '0.0.0.0'
WS_PORT = 3333
TCP_PORT = 8888
loop = asyncio.get_event_loop()
websocket_connections = []
tcp_connections = []
async def send_status(status: str):
data = status.encode()
for c in tcp_connections:
try:
writer = c[1]
writer.write(data)
await writer.drai... | DeadMorose777/UE4_SpeechController | speech_controller-main/host2.py | host2.py | py | 2,119 | python | en | code | 0 | github-code | 36 |
36779117268 | # NOTE: mini function for testing your UDP connection w the computer running the server and MAX
from pythonosc import udp_client
PORT_TO_MAX = 5002
IP = "192.168.2.2"
global client
client = udp_client.SimpleUDPClient(IP, PORT_TO_MAX)
input("hello")
while True:
print("sent")
client.send_message("/point", 1)
... | mshen63/RoboticMusicianship_CV_Project | oldReferenceFiles/socketTrial.py | socketTrial.py | py | 336 | python | en | code | 0 | github-code | 36 |
37486686803 | import random
def find_duplicate(xs):
mini, maxi, acc = xs[0], xs[0], xs[0]
for i in range(1, len(xs)):
mini = min(mini, xs[i])
maxi = max(maxi, xs[i])
acc = acc ^ xs[i]
mask = mini
for i in range(mini + 1, maxi + 1):
mask = mask ^ i
return mask ^ acc
xs = [5, 3, 4,... | tvl-fyi/depot | users/wpcarro/scratch/facebook/find-unique-int-among-duplicates.py | find-unique-int-among-duplicates.py | py | 382 | python | en | code | 0 | github-code | 36 |
11032982168 | """
Given a singly linked list, determine if it is a palindrome
"""
class Solution(object):
def isPalindrome(self, head):
fast = slow = head
# Move slow to the middle of the list
while fast and slow:
fast = fast.next.next
slow = slow.next
# Reverse second half
node = None
while slow:
nxt = sl... | tonydelanuez/python-ds-algos | probs/palindrome-linked-list.py | palindrome-linked-list.py | py | 523 | python | en | code | 0 | github-code | 36 |
34898939242 | import numpy as np
import librosa
from typing import List
import matplotlib.pyplot as plt
from scipy import signal
from scipy.fft import rfft, rfftfreq
import os
TECHNIQUES = ['High', 'Tasto', 'Bend', 'Harm', 'Strum', 'Pont', 'Ord', 'Chord', 'Smack', 'Palm', 'TEST', 'SILENCE']
#TECHNIQUES = os.listdir("samples/manual... | trian-gles/ai-technique-classification | utilities/analysis.py | analysis.py | py | 4,193 | python | en | code | 0 | github-code | 36 |
73175113705 | import pandas as pd
import numpy as np
from warnings import simplefilter
simplefilter(action="ignore", category=pd.errors.PerformanceWarning)
aaLi = ['A', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'K', 'L', 'M', 'N', 'P', 'Q', 'R', 'S', 'T', 'V', 'W', 'Y']
aaChargeDi = {'A': 0, 'C': 0, 'D': -1, 'E': -1, 'F': 0, 'G': 0,... | comics-asiis/ToxicPeptidePrediction | program_resource/extractfeature.py | extractfeature.py | py | 10,874 | python | en | code | 0 | github-code | 36 |
21334783707 | from os.path import join, dirname
from pandas import read_csv
from pathlib import Path
from climateeconomics.core.core_agriculture.crop import Crop
from sostrades_core.execution_engine.execution_engine import ExecutionEngine
from sostrades_core.tests.core.abstract_jacobian_unit_test import AbstractJacobianUnittest
fro... | os-climate/witness-core | climateeconomics/tests/l1_test_gradient_crop_discipline.py | l1_test_gradient_crop_discipline.py | py | 10,121 | python | en | code | 7 | github-code | 36 |
21787505234 | import json
from datetime import date,timedelta
path = '/Users/evcu/GitHub/evcu.github.io//assets/nyc365blog/data.json'
data = {}
newel = {}
newel[u'date'] = str(date.today()-timedelta(days=365))
newel[u'mood'] = str(input("Enter mood -1/0/1:\n"))
print(newel)
newel[u'high'] = str(input("Highlights\n"))
newel[u'low'] ... | evcu/evcu.github.io | assets/nyc365blog/newDay.py | newDay.py | py | 704 | python | en | code | 1 | github-code | 36 |
21570782786 | class Solution:
def deleteAndEarn(self, nums: List[int]) -> int:
#storing preprocessed nums
nums = sorted(nums)
hashmap = defaultdict(int)
maxnumber = 0
for i in nums:
hashmap[i] += i
maxnumber = max(i, maxnumber)
@cache
def m... | gourab337/leetcode | DP/deleteAndEarn.py | deleteAndEarn.py | py | 562 | python | en | code | 0 | github-code | 36 |
23597687031 | import sieve
from typing import Dict, List
import os
from dotenv import load_dotenv
load_dotenv()
api_key = os.environ.get('SIEVE_API_KEY')
sieve.SIEVE_API_KEY = os.getenv('SIEVE_API_KEY')
sieve.SIEVE_API_URL = os.getenv('SIEVE_API_URL')
@sieve.Model(
name="deepface-emotion-detector",
gpu = True,
python_pack... | GauravMohan1/sieve_emotion_face_tracker | main.py | main.py | py | 3,571 | python | en | code | 0 | github-code | 36 |
38568004929 | '''
113
Given a binary tree and a sum, find all root-to-leaf paths where each path's sum equals the given sum.
Note: A leaf is a node with no children.
Example:
Given the below binary tree and sum = 22,
5
/ \
4 8
/ / \
11 13 4
/ \ / \
7 2 5 1
Return:
[
[5,4,11,2],
[5,8,... | archanakalburgi/Algorithms | binary_tree/pathsum2.py | pathsum2.py | py | 2,490 | python | en | code | 1 | github-code | 36 |
16321882534 | import logging
from mmpose.apis.inference import inference_top_down_pose_model, init_pose_model, vis_pose_result
from mmpose.datasets import DatasetInfo
logger = logging.getLogger(__name__)
def loadModel(configPath, ckptPath, device, half):
model = init_pose_model(configPath, ckptPath, str(device).lower())
da... | ideguchi92/assignment | src/vitposeModule.py | vitposeModule.py | py | 1,323 | python | en | code | 0 | github-code | 36 |
38715427758 | light_matrix_string = "00000:00000:00000:00000:00000"
# Convert light matrix to a multidimensional array
def convert_light_string_to_array(array_str):
outer_demension = array_str.split(':')
multi_dimension_array = []
for inner in outer_demension:
inner_list = [int(char) for char in inner]
... | igMike-V/kids-python-challenges | legoDimensions/lightMatrix.py | lightMatrix.py | py | 1,159 | python | en | code | 0 | github-code | 36 |
35196657682 | import os
import dataclasses
import unittest
import torch
import math
import copy
import numpy as np
import lpips
from dataset.co3d_dataset import Co3dDataset, FrameData
from dataset.dataset_zoo import DATASET_ROOT
from tools.utils import dataclass_to_cuda_
from evaluation.evaluate_new_view_synthesis import eval_batc... | eldar/snes | 3rdparty/co3d/tests/test_evaluation.py | test_evaluation.py | py | 10,050 | python | en | code | 59 | github-code | 36 |
11704013339 | # -*- coding: utf-8 -*-
"""Translator module"""
from __future__ import division
from data import NUMBERS
class Translator(object):
"""Translator class"""
@classmethod
def translate(cls, data):
"""The method for converting a input data to number instance """
if isinstance(data, str):
... | russtanevich/num_converter | translator.py | translator.py | py | 2,596 | python | en | code | 0 | github-code | 36 |
1124194920 | #!/usr/bin/python3
from models.rectangle import Rectangle
class Square(Rectangle):
"""This represents a Square, inheriting from Rectangle."""
def __init__(personal, size, x=0, y=0, id=None):
"""This initializes a new Square.
Args:
size (int): The size of the Square.
... | Fran6ixneymar/alx-higher_level_programming | 0x0C-python-almost_a_circle/models/square.py | square.py | py | 2,094 | python | en | code | 0 | github-code | 36 |
74260920742 | import numpy as np
import torch
import copy
from pathlib import Path
from torch_scatter import scatter
from typing import Dict, Tuple
from pcdet.datasets.v2x_sim.v2x_sim_dataset_ego import V2XSimDataset_EGO, get_pseudo_sweeps_of_1lidar, get_nuscenes_sensor_pose_in_global, apply_se3_
from pcdet.datasets.v2x_sim.v2x_sim... | quan-dao/practical-collab-perception | pcdet/datasets/v2x_sim/v2x_sim_dataset_ego_late.py | v2x_sim_dataset_ego_late.py | py | 6,411 | python | en | code | 5 | github-code | 36 |
42037688043 | """
Signal characteristics animation
"""
import os
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from matplotlib import gridspec
matplotlib.use('TkAgg')
class sigCharacterAnimation:
'''
Animation for signal characteristics
'''
# si... | PenroseWang/SimGPS | code/utils/signal_characteristic.py | signal_characteristic.py | py | 6,216 | python | en | code | 11 | github-code | 36 |
3206852190 | """ Provides the different Bounds that are used by the Table to determine
the Cells that are adjacent to the Table. """
from __future__ import annotations
from _operator import attrgetter
from itertools import cycle
from typing import Callable, cast, Iterable, NamedTuple, Protocol, TypeVar
from pdf2gtfs.config impor... | heijul/pdf2gtfs | src/pdf2gtfs/datastructures/table/bounds.py | bounds.py | py | 13,748 | python | en | code | 1 | github-code | 36 |
8639831743 | SHAPE = "shapeBean"
COLOR = "colorBean"
SIZE_X = "sizeXBean"
SIZE_Y = "sizeYBean"
SIZE_Z = "sizeZBean"
RADIUS = "radiusBean"
POSITION_X = "positionXBean"
POSITION_Y = "positionYBean"
POSITION_Z = "positionZBean"
ROTATION_X = "rotationXBean"
ROTATION_Y = "rotationYBean"
ROTATION_Z = "rotationZBean"
GEOMETRY = "geometryF... | virtualsatellite/VirtualSatellite4-FreeCAD-mod | VirtualSatelliteCAD/plugins/VirtualSatelliteRestPlugin/virsat_constants.py | virsat_constants.py | py | 525 | python | en | code | 9 | github-code | 36 |
43008955586 | import os
import sys
from sqlobject.compat import load_module_from_file
def load_module(module_name):
mod = __import__(module_name)
components = module_name.split('.')
for comp in components[1:]:
mod = getattr(mod, comp)
return mod
def load_module_from_name(filename, module_name):
if mod... | sqlobject/sqlobject | sqlobject/util/moduleloader.py | moduleloader.py | py | 1,175 | python | en | code | 140 | github-code | 36 |
20078827999 | from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from api.serializers import BookSerializer
from books.models import Book, PublicationLanguage, Author
from django.test import Client
client = Client()
class TestBookList(APITestCase):
def setUp(self) ->... | tomasz-rzesikowski/books_poc | api/tests/tests_views.py | tests_views.py | py | 2,504 | python | en | code | 0 | github-code | 36 |
33133914412 | # Google Question
# Given an array = [2, 5, 1, 2, 3, 5, 1, 2, 4]
# It should return 2
# Given an array = [2, 1, 1, 2, 3, 5, 1, 2, 4]
# It should return 1
# Given an array = [2, 3, 4, 5]
# It should return undefined
# input:
# array - always an array of integers
# negative and positive
# no size limit... | Iuri-Almeida/ZTM-Data-Structures-and-Algorithms | data-structures/hash-tables/first_recurring_character.py | first_recurring_character.py | py | 1,238 | python | en | code | 0 | github-code | 36 |
73339180903 | import asyncio
import json
from datetime import datetime
import aiohttp
from pydantic import BaseModel, Field, NonNegativeFloat
from faststream import ContextRepo, FastStream, Logger
from faststream.kafka import KafkaBroker
broker = KafkaBroker("localhost:9092")
app = FastStream(broker)
class CryptoPrice(BaseMode... | airtai/faststream-gen | docs_src/tutorial/retrieve-publish-crypto/app/application.py | application.py | py | 2,687 | python | en | code | 19 | github-code | 36 |
4705152598 | import numpy as np
import pandas as pd
import logging
logging.getLogger(__name__).addHandler(logging.NullHandler())
logger = logging.getLogger(__name__)
try:
from sklearn.base import TransformerMixin, BaseEstimator
except ImportError:
msg = "scikit-learn not installed"
logger.warning(msg)
try:
from ... | skerryvore/pyrolite | pyrolite/util/skl/impute.py | impute.py | py | 6,714 | python | en | code | null | github-code | 36 |
32413884802 | import pytest
import torch
from renate.benchmark.models.transformer import HuggingFaceSequenceClassificationTransformer
@pytest.mark.parametrize("model_name", ["distilbert-base-uncased", "bert-base-uncased"])
def test_init(model_name):
HuggingFaceSequenceClassificationTransformer(
pretrained_model_name_o... | awslabs/Renate | test/renate/benchmark/models/test_text_transformer.py | test_text_transformer.py | py | 844 | python | en | code | 251 | github-code | 36 |
71656889065 | import torch
import torchaudio
from torchaudio.transforms import MelSpectrogram, Spectrogram
def load_wav_to_torch(full_path, hop_size=0, slice_train=False):
wav, sampling_rate = torchaudio.load(full_path, normalize=True)
if not slice_train:
p = (wav.shape[-1] // hop_size + 1) * hop_size - wav.shape[... | jisang93/VISinger | utils/audio/mel_processing.py | mel_processing.py | py | 2,724 | python | en | code | 13 | github-code | 36 |
14521287997 | #imports the os package and inotify
import os
from inotify_simple import INotify, flags
#pulls in the package
inotify = INotify()
#runs the below command so this script will keep running once it's finished
os.system("while :; do python3 File-Changes.py; done")
#creates the watch flags
watch_flags = flags.CREATE | flags... | Splixxy/Cron-Job | File-Changes.py | File-Changes.py | py | 907 | python | en | code | 0 | github-code | 36 |
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