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values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
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39761904162 | import json
import os
from time import sleep
from aviso_monitoring import logger
from aviso_monitoring.collector.config import Config
from aviso_monitoring.collector.time_collector import TimeCollector
from aviso_monitoring.udp_server import UdpServer
def take_some_time(seconds=0.1, flag=False, flag2=True):
slee... | ecmwf/aviso | aviso-server/monitoring/tests/test_time_collector.py | test_time_collector.py | py | 2,449 | python | en | code | 9 | github-code | 13 |
37966286118 | import commands
###########################################################################
include("LArCalibProcessing/LArCalib_Flags.py")
include("RecExCommission/GetInputFiles.py")
#######################################################
# Run properties
#######################################################... | rushioda/PIXELVALID_athena | athena/LArCalorimeter/LArCalibTools/share/LArParamsFromDB2NTuple_jobOptions.py | LArParamsFromDB2NTuple_jobOptions.py | py | 6,957 | python | en | code | 1 | github-code | 13 |
41823447719 | import numpy as np
from PIL import Image
beta, eta, h =1e-3,2.1e-3,0.0
def E(x,y):
xxm=np.zeros_like(x)
xxm[:-1, :]=x[1:, :]
xxm[1:, :]+=x[:-1, :]
xxm[:, :-1] += x[:, 1:] # right
xxm[:, 1:] += x[:, :-1] # left
xx = np.sum(xxm * x)
xy = np.sum(x * y)
xsum = np.sum(x)
return h * xs... | imwebson/learn | image/image.py | image.py | py | 1,589 | python | en | code | 0 | github-code | 13 |
17350992302 | '''This application connects to the USGS and OpenCage API's to collect earthquake data and store it in
a csv file that is overwritten whenever the app is ran'''
import requests, xmltodict, json, csv, toTime, creds
response = requests.get("https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_hour.geojson"... | JosephABB/earthquake_data_pub | main.py | main.py | py | 3,291 | python | en | code | 0 | github-code | 13 |
29753234806 | # 함수 실습 p.2
def personal_info(file, save, search):
def file_open():
f = open(file, "r")
data = f.read()
data = data.split("\n")
f.close()
return data
def name(data):
i = 0
lst = []
while i <len(data):
if "Name" in data[i]:
... | 1000hyehyang/Advanced-Python-Programming | week15/Ex07_01.py | Ex07_01.py | py | 1,394 | python | en | code | 0 | github-code | 13 |
11628410045 | #!/usr/bin/env python
# ===============================================================================
from . import Logger, __home__, __scratch__
from .campaigns import Campaign
from .databases import Database
from .datasets import Dataset
from .emulators import Emulator
from .evaluators import Evaluator
from .obje... | aspuru-guzik-group/olympus | src/olympus/olympus.py | olympus.py | py | 5,968 | python | en | code | 70 | github-code | 13 |
26390923019 | #!/usr/bin/env python
"""
Constructs a PNG graph of workout data
"""
#from pylab import *
from datetime import datetime
class DataReader(object):
"""
In charge of reading in a csv file with workout data
"""
def __init__(self):
self.data = {}
def read_data(self, file_name)... | mjgpy3/ExerciseManager | build_progress_graph.py | build_progress_graph.py | py | 3,209 | python | en | code | 0 | github-code | 13 |
32591192681 | import random
import requests
from .globals import bitcoin
def get_fee(tx):
# multiply stuff by 100000000 because bitcoind returns values in btc
inputsum = sum(
[
int(
bitcoin.getrawtransaction(inp["txid"], True)["vout"][inp["vout"]][
"value"
... | fiatjaf/lnchannels | getdata/utils.py | utils.py | py | 1,065 | python | en | code | 23 | github-code | 13 |
23886654065 | #!/usr/bin/env python3
import colorsys, io, logging, math, pantilthat, picamera, random, socketserver, sys, threading, time
from http import server
HTML_PAGE = """<!doctype html>
<html lang="en">
<head>
<meta name="charset" value="utf-8">
<title> Raspberry Webcam </title>
<style type="... | hacker-bastl/raspberry | ansible/roles/camera/files/webcam.py | webcam.py | py | 5,540 | python | en | code | 2 | github-code | 13 |
39637045120 | """
Module of manager for managing multiple bulbs.
"""
import logging
import platform
import subprocess
import threading
import time
from copy import copy
from queue import Queue
from typing import List
import ifaddr
from sqlalchemy import func
from yeelight import discover_bulbs, BulbException
from .bulb import Bulb... | NikSavilov/yeelight-atmosphere | src/yeelight_atmosphere/manager.py | manager.py | py | 11,882 | python | en | code | 0 | github-code | 13 |
12229802582 | from aiogram import Bot, types
import logging
from datetime import datetime
import asyncio
from aiogram.dispatcher import Dispatcher
from aiogram.utils import executor
from aiogram.types import *
from zqmpwork import Parcer
from time import sleep
bot = Bot(token='YOUR TOKKEN')
dp = Dispatcher(bot)
logging.basicConfi... | prn-ic/myfsttgbot | bot.py | bot.py | py | 4,360 | python | ru | code | 0 | github-code | 13 |
38760984852 | # import necessary modules
from bs4 import BeautifulSoup
import requests
import datetime
import pandas as pd
# create the file
writer = pd.ExcelWriter('data.xlsx', engine='xlsxwriter')
# data source
url = "https://coinmarketcap.com/"
# get the data from the source
result = requests.get(url).text
doc ... | GKK7/Projects | Web projects/Crypto.py | Crypto.py | py | 1,613 | python | en | code | 2 | github-code | 13 |
74632619216 | # Jason Morris
# Work in progress
# June 1, 2016
import json, requests
print('')
#load all json data from json dump
data_in_file = open('airQualityIn.json')
dataIn = json.load(data_in_file)
data_in_file.close()
#form data from waterQualityRaw.json into arrays of objects per-site location
dataOut = {}
for row in d... | blayne/atxgreenatlas | public/data/airQualityParser.py | airQualityParser.py | py | 1,570 | python | en | code | 0 | github-code | 13 |
17733262827 | '''pmf.py: probabilistic matrix factorization using variational inference
Model:
U: user vectors of rank n, Ixn
V: item vectors of rank n, Jxn
M: Ratings matrix, IxJ
m_ij = rating for item j given by user i.
Likelihood:
P(m_ij | u_i, v_j) = N((u_i)^T v_j, tau^2)
Priors:
P(u_i) = prod_l=1^n N(u_il, diag(nu_il^2)... | saurabhmathur96/variational-collaborative-filtering | pmf.py | pmf.py | py | 3,398 | python | en | code | 0 | github-code | 13 |
37951534158 |
# Input files
import AthenaPoolCnvSvc.ReadAthenaPool
ServiceMgr.EventSelector.InputCollections = ["aod.pool.root"]
# Number of events to be processed (default is 10)
theApp.EvtMax = -1
ToolSvc = Service('ToolSvc')
# Select Vertex or Track Algorithms
useVertex = True
# Do Histogramming
doHists = False
if us... | rushioda/PIXELVALID_athena | athena/InnerDetector/InDetCalibAlgs/InDetBeamSpotFinder/share/InDetBeamSpotFinder_jobOptions.py | InDetBeamSpotFinder_jobOptions.py | py | 2,856 | python | en | code | 1 | github-code | 13 |
21871943494 | import RPi.GPIO as GPIO
import time
leds = [24]
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.setup(leds, GPIO.OUT)
p = GPIO.PWM(24, 120)
for n in range(10):
for i in range(100):
p.start(i)
time.sleep(0.003)
p.stop()
for i in range(100):
p.start(100 - i)
time.s... | mershavka/get | examples/4-3-dac-pwm.py | 4-3-dac-pwm.py | py | 364 | python | en | code | 0 | github-code | 13 |
71130597139 | import numpy as np
x = np.array([[3,3],[4,3],[1,1]])
x_0 = np.array([[3,4,1],[3,3,1]])
y = np.array([1,1,-1])
N,M = x.shape
w = np.ones(M)
b = 0.0
import sympy as sp
w1,w2,B,lam1,lam2,lam3 = sp.symbols('w1 w2 B lam1 lam2 lam3')
f = (w1**2+w2**2)/2
st1 = 1 - (3*w1 + 3*w2 + B)
st2 = 1 - (4*w1 + 3*w2 + B)
st3 = 1 - (... | patricklan2/test | SVM/SVM2.py | SVM2.py | py | 1,216 | python | en | code | 0 | github-code | 13 |
1029823680 | # Program to check if a sentence is Pangram or not.
"""
A pangram is a sentence where every letter of the English alphabet appears at least once.
Given a string sentence containing only lowercase English letters, return true if sentence is a pangram, or false otherwise.
"""
class Solution(object):
def checkIfPan... | kumarvaibhav2003/LeetCodeProblems | pangram_check.py | pangram_check.py | py | 897 | python | en | code | 0 | github-code | 13 |
27014271335 | # Sample Gunicorn configuration file.
import multiprocessing
#
# Server socket
#
bind = "127.0.0.1:8018"
# bind = 'unix:/tmp/gunicorn.api-nethub.sock'
backlog = 2048
#
# Worker processes
#
workers = multiprocessing.cpu_count() * 2 + 1
worker_class = 'gevent'
timeout = 120
keepalive = 2
#
# Debugging
#
debug = True
s... | arleincho/publish | facenew/gunicorn.py | gunicorn.py | py | 758 | python | en | code | 0 | github-code | 13 |
3721174060 | '''
A transformation sequence from word beginWord to word endWord using a dictionary wordList is a sequence of words beginWord -> s1 -> s2 -> ... -> sk such that:
Every adjacent pair of words differs by a single letter.
Every si for 1 <= i <= k is in wordList. Note that beginWord does not need to be in wordList.
sk ==... | JaeEon-Ryu/Coding_test | LeetCode/0127_ Word Ladder.py | 0127_ Word Ladder.py | py | 2,324 | python | en | code | 1 | github-code | 13 |
73693523217 | # -*- coding: utf-8 -*-
'''
Escreva a sua solução aqui
Code your solution here
Escriba su solución aquí
'''
func_num = int(input())
horas_trab = int(input())
valor_hora = float(input())
salario = horas_trab * valor_hora
print(f"NUMBER = {func_num}")
print(f"SALARY = U$ {salario:.2f}") | AkiraTorres/beecrowd | Respostas/Python/1008.py | 1008.py | py | 293 | python | pt | code | 3 | github-code | 13 |
29718420631 | import numpy as np
import cv2
img = cv2.imread('watch.jpg',cv2.IMREAD_COLOR)# read
#cv2.line(img,(0,0),(200,300),(255,255,255),50) #line
cv2.rectangle(img,(500,250),(1000,500),(0,0,255),15) # rectangle
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(img,'YOLO',(-100,100), font, 6, (200,255,155), 13, cv2.LINE_AA)
cv2.i... | aman15012/stuffPrecog | opencv/code3.py | code3.py | py | 377 | python | en | code | 0 | github-code | 13 |
18994412933 | import disnake
from disnake.ext import commands
from utils import database, checks
class CloseSession(commands.Cog):
def __init__(self, bot: disnake.ext.commands.Bot):
self.bot = bot
@commands.slash_command(
guild_only=True,
name="закрыть-активную-сессию",
description="Закрыть... | Komo4ekoI/DiscordCasinoBot | cogs/commands/close_session.py | close_session.py | py | 1,812 | python | ru | code | 0 | github-code | 13 |
10569109750 | n = int(input())
numbers = list(map(int,input().split()))
dp = [0 for _ in range(n)]
dp[0] = numbers[0]
maxx = dp[0]
# dp[n] = n + dp[n-1]
for i in range(1,n):
if dp[i-1] < 0:
dp[i] = max(dp[i-1], numbers[i])
elif dp[i-1] + numbers[i] > 0 :
dp[i] = numbers[i] + dp[i-1]
if maxx < dp[i]:
... | sossont/Pycharmpractice | Baekjoon Online Judge/다이나믹 프로그래밍/1912 연속합.py | 1912 연속합.py | py | 349 | python | en | code | 1 | github-code | 13 |
35448583315 | records = ["Enter uid1234 Muzi", "Enter uid4567 Prodo","Leave uid1234","Enter uid1234 Prodo","Change uid4567 Ryan"]
def solution(records):
answer = []
dic = dict()
l = []
for record in records:
split = record.split()
verb, uid = split[0], split[1]
if verb == 'Enter':
... | xjayleex/problem_solving | programmers/오픈채팅방.py | 오픈채팅방.py | py | 882 | python | en | code | 0 | github-code | 13 |
17403751467 | import time
import datetime as dt
from pytz import timezone
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import dbAdapter
da = dbAdapter.adapter()
videoData = {
'id': '',
'title': '',
'description': '',
'videoThumbnail': '',
'in... | tohlh/Summer2021-Homework-2-Scraper | videoPage.py | videoPage.py | py | 4,166 | python | en | code | 0 | github-code | 13 |
33020320416 | BASE_TEMP_ADR = 5
PUSH_CMD = "push"
POP_CMD = "pop"
POSSIBLE_COMMANDS = [PUSH_CMD, POP_CMD]
SOLID_MEMORY_segmentS = {"local": "LCL",
"argument": "ARG",
"this": "THIS",
"that": "THAT"}
VIRTUAL_MEMORY_segmentS = ["constant", "static", "poi... | damebrown/NAND_ex8 | memory_parser.py | memory_parser.py | py | 2,651 | python | en | code | 0 | github-code | 13 |
27977355893 | """Demo app using SQLAlchemy."""
from flask_debugtoolbar import DebugToolbarExtension
from flask import Flask, request, redirect, render_template
from models import db, connect_db, Pet
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql:///pet_shop_db'
app.config['SQLALCHEMY_TRACK_MODIFI... | petitepirate/sqlAlchemyFundamentals | petsDemo/app.py | app.py | py | 1,413 | python | en | code | 0 | github-code | 13 |
17062296314 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class ZhimaMerchantOrderCreditCreateModel(object):
def __init__(self):
self._amount = None
self._category = None
self._channel = None
self._deposit = None
self._... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/ZhimaMerchantOrderCreditCreateModel.py | ZhimaMerchantOrderCreditCreateModel.py | py | 5,343 | python | en | code | 241 | github-code | 13 |
38131554534 | import numpy as np
adjacencymatrix=np.loadtxt("3adjacencymatrix.dat")
clustersperframe=np.zeros((len(adjacencymatrix),60))
Nmono=60
for ts in range(len(adjacencymatrix)):
nclu = 0
clu=np.zeros(60,dtype=int)
todo=np.zeros(60,dtype=int)
for i in range(60):
if clu[i] == 0:
nclu+=1
... | mccullaghlab/FFInitialAggregationOrdering | MakeTreeOfDimerClusters.py | MakeTreeOfDimerClusters.py | py | 1,388 | python | en | code | 0 | github-code | 13 |
43348328023 | class Solution:
def getRow(self, rowIndex: int) -> List[int]:
answer = [0 for _ in range(rowIndex+1)]
answer[0] = 1
for i in range(1, rowIndex+1):
tmp_answer = [0 for _ in range(i+1)]
for j in range(i):
tmp_answer[j] ... | W00SUNGLEE/leetcode | 119-pascals-triangle-ii/119-pascals-triangle-ii.py | 119-pascals-triangle-ii.py | py | 474 | python | en | code | 0 | github-code | 13 |
73996341138 | from imutils import paths
from sklearn.cluster import DBSCAN
from imutils import build_montages
import face_recognition
import numpy as np
import argparse
import pickle
import cv2
import os
img_path='all'
enc_path='./pkl/dsface.pkl'
def face_cfg():
if os.path.exists(enc_path):
data = pickle.loads(open(en... | hry8310/ai | ml/same_face/dsc_face.py | dsc_face.py | py | 2,008 | python | en | code | 2 | github-code | 13 |
26621894489 | import pandas as pd
import numpy as np
import re
import os
import sys
import transformers
from transformers import AutoTokenizer, AutoModelForSequenceClassification
from transformers import RobertaTokenizer, RobertaForSequenceClassification
import torch
import torch.nn.functional as F
from torch.utils.data import Datas... | hyomin14/Classifying-false-alarm | app.py | app.py | py | 7,486 | python | en | code | 0 | github-code | 13 |
19121052760 | import torch
from torch import nn
from torch.nn import functional as F
class PositionWiseFeedForward(nn.Module):
'''
Position-wise feed forward layer
'''
def __init__(self, config) -> None:
super(PositionWiseFeedForward, self).__init__()
d_model = config.D_MODEL
d_ff = config.... | hieunghia-pat/OpenViVQA | models/modules/positionwise_feed_forward.py | positionwise_feed_forward.py | py | 796 | python | en | code | 8 | github-code | 13 |
17057561914 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class OutputInvoiceRedApplyVO(object):
def __init__(self):
self._blue_invoice_code = None
self._blue_invoice_no = None
self._invoice_material = None
self._invoice_type =... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/OutputInvoiceRedApplyVO.py | OutputInvoiceRedApplyVO.py | py | 5,360 | python | en | code | 241 | github-code | 13 |
21831128126 | # python debug
import pdb
def doubleval(argsum, val):
argsum = 0
newval = argsum + val
return newval
pdb.set_trace() # break point
values = [1,2,3,4,5]
mysum = 0
for val in values:
mysum = 0
mysum = doubleval(mysum, val)
print(mysum)
# c or continue to go to next step of loop
... | cepheus87/pythonStuff | pdbExample.py | pdbExample.py | py | 527 | python | en | code | 0 | github-code | 13 |
40289098625 | # 1.Write a program to loop through a list of numbers and add +2 to every value to elements in list
list = [2,3,5,6,9,6,10]
New_list = [x + 2 for x in list]
print(New_list)
# 2.Write a program to get the below pattern
rows = int(input("Enter the number of rows: "))
for i in range(0, rows + 1):
# inne... | abhishekkumar116/python-internship-code-expreance | Day9_solution.py | Day9_solution.py | py | 2,834 | python | en | code | 0 | github-code | 13 |
12703191666 | import argparse
import warnings
import cv2
import torch
from matplotlib import pyplot as plt
from tqdm import tqdm
from detector import (
distance_calculation,
height_calculation,
input_handling,
output_creation,
pose_estimation,
synchrony_detection,
visualization,
)
from models.with_mobil... | StrgFJojo/diid2 | main.py | main.py | py | 5,425 | python | en | code | 0 | github-code | 13 |
383217623 | from __future__ import absolute_import, unicode_literals
import logging
import os
from abc import ABCMeta
from six import add_metaclass
from virtualenv.info import fs_supports_symlink
from virtualenv.util.path import Path
from virtualenv.util.zipapp import ensure_file_on_disk
from ..creator import Creator, CreatorM... | alexnathanson/solar-protocol | backend/createHTML/venv-bk/lib/python3.7/site-packages/virtualenv/create/via_global_ref/api.py | api.py | py | 3,500 | python | en | code | 207 | github-code | 13 |
25902876216 | import os
from datetime import datetime
from web2qgis.tinycss.color3 import parse_color_string
from PyQt5.QtCore import QDir
def getTempDir():
tempDir = os.path.join(
unicode(QDir.tempPath()),
'web2qgis',
datetime.now().strftime("%Y_%m_%d-%H_%M_%S_%f"))
if not QDir(tempDir).exists():
... | tomchadwin/web2qgis | utils.py | utils.py | py | 815 | python | en | code | 15 | github-code | 13 |
20645607564 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function, division
from collections import Counter
from tqdm import tqdm
from sentencepiece import SentencePieceTrainer
import dill
import sentencepiece as sp
# ==================================================
class Sen... | seujung/electra_pytorch_kr | tokenizer.py | tokenizer.py | py | 6,073 | python | en | code | 1 | github-code | 13 |
19623020290 | # -*- coding: utf-8 -*-
class elevator:
def processData(self, fileName):
count = 0
fp = open(fileName, 'r')
lines = fp.readlines()
if len(lines) > 2:
maxCil = int(lines[0])
curCil = int(lines[1])
entries = []
for line in lines[2:]:
... | streeg/pseudo-os | inout/elevator.py | elevator.py | py | 796 | python | en | code | 0 | github-code | 13 |
36492502562 | import threading
from homealone import *
# import whichever gpio library is installed
try:
import RPi.GPIO as gpio
gpioLibrary = "RPi.GPIO"
except ImportError:
import RPIO as gpio
gpioLibrary = "RPIO"
# dictionary of MCP23017Interfaces indexed by their interrupt pins
gpioInterfaces = {}
# initial inte... | jbuehl/homealone | homealone/interfaces/mcp23017Interface.py | mcp23017Interface.py | py | 7,639 | python | en | code | 0 | github-code | 13 |
74607400976 | # Smoothing tool for solar neutrino spectra
# Davide Basilico - Dec 2020 - davide.basilico@mi.infn.it
import plotly.graph_objects as go
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scipy
import matplotlib.pylab as pylab
from scipy import signal
from scipy import interpolate
from scipy ... | davidebas/SmoothingPDFs | SmoothingTool.py | SmoothingTool.py | py | 8,266 | python | en | code | 0 | github-code | 13 |
73078923539 | from grabscreen import grab_screen
from cs_model import load_model
import cv2
import win32gui
import win32con
import torch
import numpy as np
from utils.general import non_max_suppression, scale_coords, xyxy2xywh
from utils.augmentations import letterbox
import pynput
from mouse_control import lock, recoil_co... | MacroXie/CSGO-Copilot | aim-csgo/main.py | main.py | py | 6,050 | python | en | code | 1 | github-code | 13 |
72915524498 | import io
import struct
import pytest
import hypothesis
from hypothesis import strategies as hst
from qutebrowser.misc import elf
from qutebrowser.utils import utils
@pytest.mark.parametrize('fmt, expected', [
(elf.Ident._FORMAT, 0x10),
(elf.Header._FORMATS[elf.Bitness.x64], 0x30),
(elf.Header._FORMATS... | qutebrowser/qutebrowser | tests/unit/misc/test_elf.py | test_elf.py | py | 4,115 | python | en | code | 9,084 | github-code | 13 |
39976980609 | # -*- coding: utf-8 -*-
CURRENT_STAGE = {
"no":29,
"date":"2014/5/7 - 5/26",
"manager":u"鄭安琪"}
APP_URL="http://ntulifeguardapp.appspot.com/"
APP_ADMIN_EMAIL="ntulifeguard@gmail.com"
APP_LOGIN_MAX_RETRY=3
APP_NOTICE_EMAIL="ntulifeguardreg@groups.facebook.com"
APP_EMAIL_GREETING=u"[ntulifeguard] ... | timchen86/ntulifeguardapp | ntulifeguardapp/globals.py | globals.py | py | 603 | python | en | code | 0 | github-code | 13 |
71139097619 | import argparse
import math
import random
import os
from types import GeneratorType
import numpy as np
import torch
from torch import nn, autograd, optim
from torch.nn import functional as F
from torch.utils import data
import torchvision
from tqdm import tqdm
import pdb
import wandb
import sys
sys.path.append("../")... | klory/MPG2 | sefa_new/train_cs.py | train_cs.py | py | 26,949 | python | en | code | 5 | github-code | 13 |
7178569110 | """
Code for day 4 of the 2021 Advent of Code challenge :)
"""
# SYSTEM IMPORTS
# THIRD PARTY IMPORTS
# LOCAL APPLICATION IMPORTS
def read_input():
# Read input file
input_data = open("day_04_input", "r")
cleaned_input = []
for item in input_data:
line = item.split("\n")[0]
if line... | CatAndDogSoup/AdventOfCode_2021 | day_04.py | day_04.py | py | 730 | python | en | code | 1 | github-code | 13 |
33021737942 | from abc import ABC, abstractmethod
import pytube
import os
from os import path
from config import DOWNLOAD_PATH
from utils.logging.logger import logger
import json
class VideoDownloadBase(ABC):
@abstractmethod
def download(self, href, config):
pass
class VideoDownload(VideoDownloadBase):
def... | timothyxp/Text2VideoServer | utils/video_download.py | video_download.py | py | 2,538 | python | en | code | 1 | github-code | 13 |
25579204842 | """
Converting DIMACS to Z3 expr
"""
from typing import List
import z3
def int_clauses_to_z3(clauses: List[List[int]]) -> z3.BoolRef:
"""
The int_clauses_to_z3 function takes a list of clauses, where each clause is a list of integers.
The function returns the conjunction (AND) of all clauses in the input... | ZJU-Automated-Reasoning-Group/arlib | arlib/translator/intclauses2z3.py | intclauses2z3.py | py | 893 | python | en | code | 6 | github-code | 13 |
43850061252 | # -*- coding: utf-8 -*-
import os
import django
# Scrapy settings for scraper project
#
# For simplicity, this file contains only the most important settings by
# default. All the other settings are documented here:
#
# http://doc.scrapy.org/en/latest/topics/settings.html
#
BOT_NAME = 'scraper'
SPIDER_MODULES ... | dillonko/jobboardscraper | jobboardscraper/scraper/settings.py | settings.py | py | 1,073 | python | en | code | 1 | github-code | 13 |
26934741384 | from setuptools import setup, find_packages
from codecs import open
from os import path
from pyway.version import __version__
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
#... | sergiosbx/pyway | setup.py | setup.py | py | 1,400 | python | en | code | null | github-code | 13 |
865050232 | def encrypt(message: str, rails: int) -> str:
"""
Encrypts a message using the Rail Fence Cipher with the specified number of rails.
Args:
message (str): The message to encrypt.
rails (int): The number of rails to use.
Returns:
str: The encrypted message.
Raises:
V... | eshabaweja/classicciphers | classicciphers/railfence.py | railfence.py | py | 1,862 | python | en | code | 0 | github-code | 13 |
8417704054 | '''
上传头像 将一个图片从客户端发送给服务端
思路：客户端 读取头像图片内容 --》通过网络发送给服务端
服务端 先从网络中接收内容--》写入到服务端的文件
'''
from socket import *
import time
ADDR = ('127.0.0.1', 8888)
# 创建套接字
s = socket()
# 发起连接
s.connect(ADDR)
# 发送文件
f=open('TCP.png','rb')
while True:
data=f.read(1024)
if not data:
time.sleep(1)
s.send('文件发送完... | FAREWELLblue/AID1912_personal | day05/send_file.py | send_file.py | py | 554 | python | zh | code | 0 | github-code | 13 |
36783910266 | from pyramid.config import Configurator
from pyramid.session import SignedCookieSessionFactory
def main(global_config, **settings):
""" This function returns a Pyramid WSGI application.
"""
my_session_factory = SignedCookieSessionFactory('itsaseekreet')
config = Configurator(settings=settings, session... | ontiyonke/scrape_wikipedia | scrape_wikipedia/__init__.py | __init__.py | py | 621 | python | en | code | 0 | github-code | 13 |
42705253850 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
get_ipython().run_line_magic('matplotlib', 'inline')
# In[2]:
train=pd.read_csv('train_IQ.csv')
test=pd.read_csv('test_IQ.csv')
# In[3]:
print(test.shape)
print(train.sh... | sskatti/Income-Qualification | Income Qualification Project.py | Income Qualification Project.py | py | 11,503 | python | en | code | 0 | github-code | 13 |
42051957648 | import sys
sys.setrecursionlimit(10 ** 8)
ini = lambda: int(sys.stdin.readline())
inm = lambda: map(int, sys.stdin.readline().split())
inl = lambda: list(inm())
ins = lambda: sys.stdin.readline().rstrip()
debug = lambda *a, **kw: print("\033[33m", *a, "\033[0m", **dict(file=sys.stderr, **kw))
N = ini()
def solve():... | keijak/comp-pub | atcoder/abc173/F/main.py | main.py | py | 569 | python | en | code | 0 | github-code | 13 |
30113998690 | import os
import sys
import io
import zipfile
import math as Math
CWD = os.path.dirname(__file__)
sys.path.append(CWD)
from get_config import SCRIPT_FILE
import parse_lua as PL
def get_tunings():
with zipfile.ZipFile(SCRIPT_FILE) as zip:
content = zip.read("scripts/tuning.lua")
fp = io.StringIO(conte... | NullOnSpace/dst-qq | utils/dst/manage_server/parse_tunings.py | parse_tunings.py | py | 1,879 | python | en | code | 0 | github-code | 13 |
39789223802 | import torch
from functools import lru_cache
from unicore.data import BaseWrapperDataset
class PrependAndAppend2DDataset(BaseWrapperDataset):
def __init__(self, dataset, token=None):
super().__init__(dataset)
self.token = token
@lru_cache(maxsize=16)
def __getitem__(self, idx):
it... | dptech-corp/Uni-Mol | unimol/unimol/data/prepend_and_append_2d_dataset.py | prepend_and_append_2d_dataset.py | py | 590 | python | en | code | 453 | github-code | 13 |
31234364859 | def homework_1(nums): # 請同學記得把檔案名稱改成自己的學號(ex.1104813.py)
length = len(nums)#計算長度
count = 0#累計個數
ans=0#最大連續次數
for i in range(1,length):
if nums[i-1] != nums[i]:
n=i-count
count +=n
if n >ans:
ans = n
last = length-count
if last>ans:
... | daniel880423/Member_System | file/hw1/1100342/s1100342_1.py | s1100342_1.py | py | 522 | python | en | code | 0 | github-code | 13 |
4742946263 | #!/usr/bin/python
# -*- coding: utf-8 -*-
'''
Function to load data from CKAN object classes.
'''
import app.utilities.load as Load
from app.classes.user import User
from app.classes.country import Country
from app.classes.dataset import Dataset
from app.classes.revision import Revision
from app.classes.resource impo... | luiscape/hdx-monitor-sql-collect | app/functions/fetch_class_data.py | fetch_class_data.py | py | 1,269 | python | en | code | 0 | github-code | 13 |
42834416786 | from bisect import bisect, insort
from ..cores import ICore
from ..util import coerce_to_uri
_IMPL_REG_KEYS = []
_IMPL_REGISTRY = {}
def register_implementation(uri_prefix):
"""Registers a subclass of :class:`.interface.ICore`.
This is to be used as a decorator generator, as in::
@register_impleme... | ktbs/ktbs | lib/rdfrest/cores/factory.py | factory.py | py | 3,781 | python | en | code | 24 | github-code | 13 |
26010444038 | """Account DTO"""""
from src.dtos.transactions_dto import TransactionDTO
class AccountDTO:
"""Account Data Transfer Object class"""
def __init__(self, name: str, account_id: int, account_uuid: str, balance: int, currency: str, transactions: list[TransactionDTO]):
self.name = name
self.account_... | razvanmarinn/expense-tracker | src/dtos/accounts_dto.py | accounts_dto.py | py | 884 | python | en | code | 0 | github-code | 13 |
72929070417 | #! /usr/bin/env python2
import numpy as np
from scipy import interpolate
import cv2
import sys,os
import time
# Local imports
import parameters as defaults
cpath = os.path.split(os.path.abspath(__file__))[0]
print(cpath)
sys.path.append(cpath)
from utils import pcautils
from utils.cprint import cprint
libviso_a... | jswulff/pcaflow | pcaflow/PCAFlow.py | PCAFlow.py | py | 14,213 | python | en | code | 83 | github-code | 13 |
36308673254 | import math
# For a = 2.3, find the ceil of a
a = 2.3
ceil_result = math.ceil(a)
print(f"The ceil of {a} is: {ceil_result}")
# For a = 2.3, find the floor of a
floor_result = math.floor(a)
print(f"The floor of {a} is: {floor_result}")
# For a = 5, find the factorial of a
b = 5
factorial_result = math.factorial(b)
pr... | debsicat22/AdvanceProgramming | Assessment1/Chapter 6/Exercise1.py | Exercise1.py | py | 633 | python | en | code | 0 | github-code | 13 |
9521303457 | from __future__ import absolute_import
from django.test import override_settings
from rest_framework import status
from rest_framework.reverse import reverse
from rest_framework.test import APITestCase
from silver.fixtures.factories import AdminUserFactory
from silver.fixtures.test_fixtures import PAYMENT_PROCESSORS... | silverapp/silver | silver/tests/api/test_payment_processors.py | test_payment_processors.py | py | 2,326 | python | en | code | 292 | github-code | 13 |
72033244178 | from __future__ import annotations
from typing import TYPE_CHECKING, List
from ..ns import *
from .SpatialObject import SpatialObject
if TYPE_CHECKING:
from rdflib import Graph, Literal
from ..Thing import Thing
from .GeometryType import GeometryType
class Geometry(SpatialObject):
__type__ = CLV["... | luca-martinelli-09/ontopia-py | ontopia_py/clv/Geometry.py | Geometry.py | py | 1,559 | python | en | code | 0 | github-code | 13 |
29977147523 | import torch
from torchvision import transforms as T
from torchvision.transforms import functional as F
import cv2 as cv
import numpy as np
def box_cxcywh_to_xyxy(x):
x_c, y_c, w, h = x.unbind(1)
b = [(x_c - 0.5 * w), (y_c - 0.5 * h),
(x_c + 0.5 * w), (y_c + 0.5 * h)]
return torch.... | OneMagicKey/TwoStageSegmentation | utilities/bbox_generators.py | bbox_generators.py | py | 2,882 | python | en | code | 0 | github-code | 13 |
28561661642 | # -*- coding: utf-8 -*-
import sys
import threading
import functools
import contextlib
import click
from ._compat import reraise
try:
import queue
except ImportError:
import Queue as queue
# The docs state that "Future should not be instantiated directly, only by
# Executors", but since I'm basically implem... | ag1455/OpenPLi-PC | pre/python/lib/python2.7/dist-packages/click_threading/__init__.py | __init__.py | py | 4,625 | python | en | code | 19 | github-code | 13 |
20215645929 | import os
import argparse
import os.path as osp
import pickle
import sys
import numpy as np
from tqdm import tqdm
from opt import opt
from PIL import Image
import cv2
import torch
from torch.autograd import Variable
import torch.nn.functional as F
import torchvision.transforms as transforms
import torch.nn as nn
import... | linye-boli/boli-tracking-0.0.1 | tracking_pj/tracking-multi-thread/main.py | main.py | py | 9,543 | python | en | code | 0 | github-code | 13 |
5419166620 | from shiny import *
from pathlib import Path
from test import treatment_file, data_separation, data_split, LR, evaluate_linear_regression, train_and_evaluate_random_forest, plot_linear_regression_results, create_shap_waterfall_chart, shap_beeswarm_plot, shap_violin_plot, Split_and_Shap,create_and_display_graph_test, Jo... | karlcise222/Cancer_Care_Dashboard | app.py | app.py | py | 14,598 | python | en | code | 0 | github-code | 13 |
74638119376 | n = int(input())
arr = []
# 문장 입력
for i in range(n):
arr.append(input())
# 문장 개수만큼 반복
for i in range(len(arr)):
# 현재 위치, x,y 저장 배열, 방향 초기화
cur=[0,0]
x,y =[0],[0]
move = [0,1]
# 문장길이만큼 반복
for j in range(len(arr[i])):
#이동 거리 초기화
distance = 0
# 90도 이동
if arr[i][j]=='R':
move[0],mov... | Coding-Test-Study-Group/Coding-Test-Study | yunhwan/백준 8911 거북이.py | 백준 8911 거북이.py | py | 967 | python | ko | code | 4 | github-code | 13 |
16426891221 | """
@author Mrinal Pandey
@date: 2nd April, 2019
@day_time Tuesday 22:31
"""
def displayData(a, n):
#Loop to print data
for i in range(n):
print (a[i], end = '\t')
print() #To change line
#Sub-routine to sort elements in the array using Selection Sort
def selectionSort(a, n):
#Outer loop
... | primyt/SelectionSort | SelectionSort.py | SelectionSort.py | py | 1,020 | python | en | code | 0 | github-code | 13 |
15220681772 | import random
import discord
from discord.ext import commands
class Speech(commands.Cog):
"""Speech Cog"""
def __init__(self, client):
# sets client variable so it can be used in cog
self.client = client
self._last_member = None
@commands.command()
async def hello(self, ctx,... | solorzao/wolf-pack-bot | cogs/speech.py | speech.py | py | 3,158 | python | en | code | 0 | github-code | 13 |
2686500447 | """Trains a simple deep NN on the MNIST dataset.
Gets to 98.40% test accuracy after 20 epochs
(there is *a lot* of margin for parameter tuning).
2 seconds per epoch on a K520 GPU.
"""
from keras import Sequential
from keras.datasets import mnist
from keras.layers import Dense, Dropout
from keras.optimizers import RMSp... | mcai/Tidbits.Foresight | predictor_mlp.py | predictor_mlp.py | py | 1,788 | python | en | code | 0 | github-code | 13 |
20691864807 | #!/usr/bin/python3.6
import os, sys, time, datetime, subprocess
import shutil
import yaml
AB_PATH = os.path.abspath(__file__)
CUR_DIR = os.getcwd()
timestr = time.strftime("%Y%m%d-%H%M%S")
now_time = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
def load_yaml_list(target_yaml='vid_config.yaml', the_key='vid... | maxnotmin/uotuw | dl.py | dl.py | py | 2,571 | python | en | code | 0 | github-code | 13 |
32466199242 | import PythonNmap as nmap
import json
import datetime
import time
import utils
def callback_print_and_record(host, ports, scan_data, output_file):
print("--------------------")
print(host)
print(ports)
print(scan_data)
if output_file:
with open(output_file, "a") as file:
... | FlyTweety/ExtendNmapMetasploit | AsyncNmap.py | AsyncNmap.py | py | 3,627 | python | en | code | 0 | github-code | 13 |
71471438417 | import numpy as np
import onnx
from onnx.backend.test.case.base import Base
from onnx.backend.test.case.node import expect
class StringConcat(Base):
@staticmethod
def export() -> None:
node = onnx.helper.make_node(
"StringConcat",
inputs=["x", "y"],
outputs=["resul... | onnx/onnx | onnx/backend/test/case/node/string_concat.py | string_concat.py | py | 1,862 | python | en | code | 15,924 | github-code | 13 |
3532010382 | import matplotlib.pyplot as plt
import numpy as np
import math
def show_histogram(data, bins=100, title=None, x_axis_label=None, y_axis_label=None):
"""
Show the histogram of the data
:param data: data with ND-array
:param bins: num of bins in the histogram
:param title: figure title
:param x_a... | sfu-gruvi-3dv/sanet_relocal_demo | visualizer/visualizer_2d.py | visualizer_2d.py | py | 2,683 | python | en | code | 51 | github-code | 13 |
10687571889 | import random
import copy
POPULATION_SIZE = 100
TOPK= 10
QUEENS = int(input("Enter The Number Of Queens: "))
gen = 1
def InitialPopulation(PoP):
for i in range(POPULATION_SIZE):
temp = []
for i in range(QUEENS):
temp.append(random.randint(1,QUEENS))
PoP.append(temp)
return ... | vineetjoshi253/CSE-643-Artificial-Intelligence | Assignment-1/N-Queen/GeneticN.py | GeneticN.py | py | 3,607 | python | en | code | 1 | github-code | 13 |
13614130570 | class Solution(object):
# solution1, need O(n) extra space and O(nlog n) running time
def wiggleSort(self, nums):
temp = sorted(nums)
mid = (len(temp) + 1) / 2
k = 0
for i in reversed(xrange(mid)):
nums[k] = temp[i]
k += 2
j = 1
... | clovery410/mycode | leetcode_review2/324wiggle_sort2.py | 324wiggle_sort2.py | py | 502 | python | en | code | 1 | github-code | 13 |
32417951408 |
import numpy as np
import seaborn as sn
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import matplotlib.patches as mpatches
from matplotlib.dates import DateFormatter
import datetime
def plot_test_train_splits(train, test):
"""
Plots test train splits... | rymc/bHealth | bhealth/visualisations.py | visualisations.py | py | 21,861 | python | en | code | 2 | github-code | 13 |
585556547 | from pyowm import OWM
from pyowm.utils import config
from pyowm.utils import timestamps
owm = OWM('4f1d4d06b8d0c706cbd6971dfd330188')
mgr = owm.weather_manager()
from pyowm.utils.config import get_default_config
config_dict = get_default_config()
config_dict['language'] = 'ru'
place = input("Введи город "... | TheSnow1/pogoda | mmm.py | mmm.py | py | 1,161 | python | ru | code | 0 | github-code | 13 |
24044234166 | # 在运行前或运行后替换
# 如果想在父类中定义的内容运行之前或者之后再修改行为.
# 可以覆盖函数,再接着用super来调用父类的版本
class Parent(object):
def altered(self):
print("PARENT altered()")
class Child(Parent):
def altered(self):
print("CHILD, BEFORE PARENT altered()")
super(Child, self).altered()
print("CHILD, AFTER PARENT alte... | NullPointerC/Learn-Python-The-Hard-Way-Source-Code | ex44c.py | ex44c.py | py | 494 | python | zh | code | 0 | github-code | 13 |
12522775863 | from enum import Enum
import pandas as pd
import tkinter as tk
from tkinter import ttk
from matplotlib.backends.backend_tkagg import (
FigureCanvasTkAgg, NavigationToolbar2Tk)
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
from matplotlib import gridspec
from dataclasses import dataclass
fro... | David-Durst/csknow | learn_bot/learn_bot/recoil/vis.py | vis.py | py | 14,690 | python | en | code | 13 | github-code | 13 |
40177493213 | import turtle as t
import random
def turn_up(): #위에 키 눌렀을 때 호출되는 함수
t.left(2) #거북이를 왼쪽으로 2도 돌림
def turn_down(): #아래 키 눌렀을 때 호출되는 함수
t.right(2) #거북이를 오른쪽으로 2도 돌림
def fire(): #스페이스바 눌렀을 때 호출되는 함수
ang = t.heading() #현재 거북이가 바라보는 각도를 기억
while t.ycor() > 0: #거북이가 땅 위에 있는 동안 반복
t.forward(15... | mongsil0219/2023.01.18 | 16A_cannon.py | 16A_cannon.py | py | 1,825 | python | ko | code | 0 | github-code | 13 |
31740649655 | import numpy as np
from machinelearn.linear_model_03.closed_form_sol.LinearRegression_CFSol import LinearRegressionClosedFormSol
from machinelearn.model_evaluation_selection_02.Polynomial_feature import PolynomialFeatureData
import matplotlib.pyplot as plt
def objective_fun(x):
# return 0.5 * x ** 2 + x + 2
r... | lixixi89055465/py_stu | machinelearn/model_evaluation_selection_02/learning_curve/test_polynomial_fit.py | test_polynomial_fit.py | py | 2,643 | python | en | code | 1 | github-code | 13 |
12210404993 | import os
import urllib
from google.appengine.api import users
from google.appengine.ext import ndb
import jinja2
from bottle import Bottle, request, redirect, debug
debug(True)
bottle = Bottle()
JINJA_ENVIRONMENT = jinja2.Environment(
loader=jinja2.FileSystemLoader(os.path.dirname(__file__)),
extensions=['... | Durell/appengine | bottle_guestbook/guestbook.py | guestbook.py | py | 2,529 | python | en | code | 0 | github-code | 13 |
2005403290 | import nibabel as nib
import glob as glob
import numpy as np
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
import os
from keras.models import *
from keras.layers import *
from keras.optimizers import *
from keras.callbacks import ModelChe... | rutugandhi/MDA-Net | Sagittal/Proposed/mda_net_144.py | mda_net_144.py | py | 26,277 | python | en | code | 0 | github-code | 13 |
9556335324 | class Solution:
def findMaxAverage(self, nums: List[int], k: int) -> float:
s=sum(nums[:k])
ans=s/k
j=k
i=0
while(j<len(nums)):
s+=(nums[j]-nums[i])
ans=(max(ans,s/k))
i+=1
j+=1
return ans | eyoaab/Solution-_pack | maxAverage.py | maxAverage.py | py | 303 | python | en | code | 0 | github-code | 13 |
35644404655 | import pandas as pd
from sqli_detect import getFeatures
import time
import pickle
if __name__ == '__main__':
while 1:
payload = input("please input your url:")
print('start process data')
start = time.time()
result = pd.DataFrame(columns=('sql','length','key_num','capital_f','num_f'... | scusec/Data-Mining-for-Cybersecurity | Homework/2019/Task5/12/code/predict_sql.py | predict_sql.py | py | 868 | python | en | code | 66 | github-code | 13 |
72337985619 | """Adversarial attack class
"""
import os
import torch
class Attack(object):
"""Base class for attacks
Arguments:
object {[type]} -- [description]
"""
def __init__(self, attack_type, model):
self.attack_name = attack_type
self.model = model.eval()
self.device = next(mod... | lepoeme20/Adversarial-Detection | attacks.py | attacks.py | py | 2,230 | python | en | code | 0 | github-code | 13 |
74218108176 | def is_matrix_rectangular(matrix):
return all(len(row) == len(matrix[0]) for row in matrix)
def count_non_zero_columns(matrix):
if not matrix:
return 0
if not is_matrix_rectangular(matrix):
return -1 #не прямоугольная, возвращаем -1
num_rows = len(matrix)
num_cols = len(matrix[0])... | lkrvtsk/Python | Лабораторная №2/Лаб_2_задание_3.py | Лаб_2_задание_3.py | py | 1,778 | python | ru | code | 0 | github-code | 13 |
73772401937 | def anima():#Animação
from random import randint
import colorama
from time import sleep
from colorama import Fore, Back, Style
colorama.init(autoreset=True)
lista = [Fore.RED, Fore.YELLOW, Fore.BLUE, Fore.MAGENTA, Fore.GREEN, Fore.CYAN, Fore.WHITE, Fore.LIGHTRED_EX]
nome = ["L", "u", "c... | Firestormant/Alguns-projetos-que-eu-gostei | Animação*1000.py | Animação*1000.py | py | 648 | python | en | code | 1 | github-code | 13 |
29245575126 | import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import pandas as pd
import seaborn as sns
from sklearn.decomposition import PCA, SparsePCA
from sklearn.cluster import DBSCAN, KMeans, AgglomerativeClustering
from sklearn.preprocessing import StandardScaler, MinMaxScaler
from scipy.stats import po... | JohnSegerstedt/DATX02-19-81 | Fredrik_Hs_mapp/Methods.py | Methods.py | py | 35,432 | python | en | code | 4 | github-code | 13 |
23422879323 | from lib.coefficients import Coefficients
from utils.menu import main_menu
while True:
combustible = main_menu()
if combustible:
coefficients = Coefficients(*combustible)
print(f"Mean specific heat of {coefficients.combustible.name.title()} at {coefficients.t_gh + 273.15}°C is:\n"
f"... | KoteTheInnkeeper/cp_flue_gas | app.py | app.py | py | 367 | python | en | code | 0 | github-code | 13 |
2349306340 | import botsdk.util.HttpRequest
import json
from botsdk.BotModule.Adapter import Adapter
class MiraiAdapter(Adapter):
def init(self, data):
self.url = data["path"]
async def get(self, parameter, **kwargs):
return json.loads(
await botsdk.util.HttpRequest.get(
(self.... | f88af65a/XyzB0ts | bot/Mirai/Adapter.py | Adapter.py | py | 603 | python | en | code | 6 | github-code | 13 |
34919425339 | import pandas as pd
import scipy.sparse as sp
import os
def create_URM_matrix(ratings_df):
URM_all = sp.csr_matrix((ratings_df["data"].values,
(ratings_df["user_id"].values, ratings_df["item_id"].values)))
return URM_all
def create_ICM_matrix(dataframe):
csr_matrix = sp.csr... | redaellimattia/RecSys-Competition-2022-Polimi | utils/data_util.py | data_util.py | py | 4,702 | python | en | code | 0 | github-code | 13 |
43142128576 | # -*- coding: utf-8 -*-
#################################################################################################
import logging
import sqlite3
import sys
import traceback
import xbmc
import xbmcgui
import xbmcplugin
import xbmcvfs
from views import Playlist, VideoNodes
from utils import wind... | CaoZ/plugin.video.emby | resources/lib/database.py | database.py | py | 8,342 | python | en | code | 0 | github-code | 13 |
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