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
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
18475202709 | from flask import Blueprint, render_template, request, session, redirect, Response, make_response
from twilio.twiml.voice_response import Dial, VoiceResponse, Say
from twilio_client import sid, auth
voice = Blueprint("voice", __name__, template_folder="templates", static_folder="static")
@voice.route("/voice/", metho... | R-Ligier/AiHackathon | voice.py | voice.py | py | 517 | python | en | code | 0 | github-code | 1 |
28135008759 | from datetime import datetime
from mitmproxy.flow import Flow
class Intercept(object):
def __init__(self, flow: Flow, connection) -> None:
self.flow = flow
self.connection = connection
self.updated_at = datetime.now()
self.session_id = None
self.user_id = None
self.m... | tarnacious/debugproxy | proxyserver/intercept.py | intercept.py | py | 511 | python | en | code | 2 | github-code | 1 |
20910717859 | # -*- coding: utf-8 -*-
# DISCLAIMER
# This code file is forked and adapted from https://github.com/hwwang55/DKN/blob/master/src/main.py
#import libraries
import argparse
import numpy as np
# import custom code
from src.dkn_data_loader import load_data
from src.dkn import train, evaluate
from src.util.logger import... | andreeaiana/geneg_benchmarking | src/run_dkn.py | run_dkn.py | py | 1,767 | python | en | code | 2 | github-code | 1 |
24812248218 | '''
This is trying to fix simple1.py issues
'''
def myfunc():
'''
A Simple function
'''
first = 1
second = 2
print(first)
print(second)
myfunc()
'''
Again; this was run in Pylint and I got:
(base) Desktop>python simple2.py
1
2
(base) Desktop>pylint simple2.py
************* Module simpl... | lucas-schranck/Python-Coding-Lessons | 2022-11-10 Using Pylint in CMD/simple2.py | simple2.py | py | 1,273 | python | en | code | 0 | github-code | 1 |
41283693798 | from typing import Iterable
import pytest
from zepben.evolve import assign_equipment_to_feeders, Equipment, TestNetworkBuilder, Feeder, BaseVoltage
def validate_equipment(equipment: Iterable[Equipment], *expected_mrids: str):
equip_mrids = [e.mrid for e in equipment]
for mrid in expected_mrids:
asser... | zepben/evolve-sdk-python | test/services/network/tracing/test_assign_to_feeders.py | test_assign_to_feeders.py | py | 3,820 | python | en | code | 3 | github-code | 1 |
33032277585 | import numpy as np
import math
class Config:
#########################################################################
# Game configuration
# Time step size
TIME_STEP = 0.2
# The world boundary, as a square
WORLD_X_BOUND = 10
WORLD_Y_BOUND = 10
# Target area, a circle for now (TODO:... | FloraHF/2DSI | 2DSI/Config.py | Config.py | py | 3,988 | python | en | code | 0 | github-code | 1 |
2325252310 | import os
import shutil
from flask import request, jsonify
from flask_restful import Resource
from flask_uploads import UploadNotAllowed
from db import db
from libs import image_helper
from models.category import CategoryModel
from models.subcategory import SubCategoryModel, SubCategoryImageModel
from schemas.catego... | Emir99/city-service | resources/subcategory.py | subcategory.py | py | 7,847 | python | en | code | 0 | github-code | 1 |
75184000353 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 2 00:04:48 2023
@author: allen
請查詢附錄X的表格，將以下句子全部輸出成小寫，
"PLEASE CONVERT THIS SENTENCE TO LOWER CASE."
"""
x = input()
for i in range(len(x)):
if(ord(x[i]) > 64 and ord(x[i]) <91):
print(chr(ord(x[i]) + 32), end = "")
else:
print(x[i], end = "")
... | zhanallen/zero-judge | 講義練習題/2.8.4.1. Ex. 1.py | 2.8.4.1. Ex. 1.py | py | 427 | python | en | code | 0 | github-code | 1 |
37442174729 | # Import from other files https://stackoverflow.com/a/49480246
if __package__ is None or __package__ == '':
from subscript import sum
else:
from .subscript import sum
#########Function implementation#############
def main(json_input):
input1 = json_input["input1"]
# Processing
sum_result = sum(inp... | Apollo-Tools/resource-manager | backend/faas-templates/python38/apollorm/main.py | main.py | py | 539 | python | en | code | 1 | github-code | 1 |
35298556855 | from fastapi import FastAPI, Request, Response, BackgroundTasks
from fastapi.responses import JSONResponse, StreamingResponse, RedirectResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
from pathlib import Path
import os
import cv2
import time
import subprocess
app = Fa... | prabal01pathak/directory_video_player | app.py | app.py | py | 2,900 | python | en | code | 0 | github-code | 1 |
31532664375 | from flask import Flask, request
from flask.templating import render_template
from model import summariser
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/results', methods=["POST"])
def summary():
if request.method == "POST":
data = request.form.t... | UnpredictablePrashant/MachineLearninginFlask | summariserAI/app.py | app.py | py | 574 | python | en | code | 4 | github-code | 1 |
23737668358 | import dask.dataframe as dd
from lightgbm import LGBMClassifier
import joblib
import json
import pandas as pd
from sklearn.metrics import accuracy_score
def lightgbm_model(X_train_file, y_train_file, X_validation_file, y_validation_file, params_file, col_names, model_output_file):
# Read from parquet file
X_tr... | Asad1287/AutoML-for-Predictive-Maintenance | src/Data_Modeling/model_creation_lightgbm.py | model_creation_lightgbm.py | py | 1,823 | python | en | code | 1 | github-code | 1 |
4149696396 | import cv2
import numpy as np
import matplotlib.pyplot as plt
def conv2d(ori,kernal):
dimension = ori.shape
# ori = np.pad(ori,1,'constant',constant_values = 0)
result = np.zeros((dimension[0],dimension[1]))
for i in range(0,dimension[0]-2):
for j in range(0,dimension[1]-2):
ori_1 =... | ch3coch3/opencv_dl_hw | P3/P3.py | P3.py | py | 2,279 | python | en | code | 0 | github-code | 1 |
36360318683 | """
Unit tests for optimization routines from minpack.py.
"""
from numpy.testing import *
import numpy as np
from numpy import array, float64
from scipy import optimize
from scipy.optimize.minpack import fsolve, leastsq, curve_fit
class TestFSolve(TestCase):
def pressure_network(self, flow_rates, Qtot, k):
... | decarlin/stuartlab-scripts | python/scipy-0.8.0/scipy/optimize/tests/test_minpack.py | test_minpack.py | py | 5,138 | python | en | code | 6 | github-code | 1 |
24376449211 | #!/usr/bin/env python
# coding: utf-8
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision.transforms as transforms
import torchvision.datasets as datasets
from torch.utils.data import DataLoader
from torch.nn import Sequential, Conv2d,MaxPool2d,Flatten,Linear
import torchvision
import cv2... | faiimea/WDAD | PRP_demo/net/ty3.py | ty3.py | py | 8,545 | python | en | code | 6 | github-code | 1 |
21196188643 | from flask import Flask,redirect,render_template,url_for,request
app = Flask(__name__)
@app.route('/')
def Home():
return render_template('index.html')
@app.route('/report/<float:marks>')
def report(marks):
if marks >= 35 :
return render_template('pass.html',result = marks)
else:
... | BHARATH970438/RasultChecker_API | Result_API/main.py | main.py | py | 904 | python | en | code | 0 | github-code | 1 |
70556971235 | from glob import glob
from itertools import repeat
from matplotlib import gridspec as gs
from matplotlib import pyplot as plt
from matplotlib.patches import Rectangle
from matplotlib.ticker import MultipleLocator
import json
import numpy as np
import seaborn as sns
from copy import copy
from os import path
from six imp... | BrainsOnBoard/procedural_paper | scripts/plot_multi_area.py | plot_multi_area.py | py | 10,715 | python | en | code | 22 | github-code | 1 |
44385920232 | import logging
import re
from JsonReplace import JsonReplace
def Position_strController(json_data):
list_length = len(json_data)
count = 0
for i in range(0, list_length):
if re.search(JsonReplace().init_date, str(json_data[i].get('position_str'))):
count = count + 1
if count == 0:... | SmallSky7/JsonReplace | Function/Position_strController.py | Position_strController.py | py | 1,018 | python | en | code | 0 | github-code | 1 |
11514147052 | # Released under the MIT License. See LICENSE for details.
#
"""Functionality for importing, exporting, and validating dataclasses.
This allows complex nested dataclasses to be flattened to json-compatible
data and restored from said data. It also gracefully handles and preserves
unrecognized attribute data, allowing ... | efroemling/ballistica | tools/efro/dataclassio/__init__.py | __init__.py | py | 1,385 | python | en | code | 468 | github-code | 1 |
14122440992 | import random
# Hero Class
class Hero:
def __init__(self, name, starting_health=100):
self.name = name
self.abilities = list()
self.starting_health = starting_health
self.current_health = starting_health
self.armors = list()
self.deaths = 0
self.kills ... | AnniePawl/Superheroes | superhero.py | superhero.py | py | 8,893 | python | en | code | 0 | github-code | 1 |
33594433609 | #This file is designed to have all the functions for preprocess data in both the product df and the review data frames
#It will act as the library to import from functions needed in the preprocess_data.py
import pandas as pd
import numpy as np
from collections import Counter
##########################################... | stuartong/amazon-product-prediction | preprocess_data_module.py | preprocess_data_module.py | py | 11,042 | python | en | code | 0 | github-code | 1 |
44494706441 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @Time : 2018/5/23 14:15
# @Author : zhouyuyao
# @File : demon1.py
import multiprocessing
import os
import time
from datetime import datetime
def subprocess(number):
# 子进程
print('这是第{0}个子进程'.format(number))
pid = os.getpid() # 得到当前进程号
pr... | zyyxydwl/Python-Learning | LIVE_PYTHON/2018-05-22/demon1.py | demon1.py | py | 1,049 | python | en | code | 0 | github-code | 1 |
39434606704 | from django.shortcuts import render, get_object_or_404
from .models import Download, Item
# Create your views here.
def list_page(request):
queryset = Download.objects.all()
context = {
'object_list': queryset
}
return render(request, 'downloads/list.html', context)
def detail_page(request, ... | pramod0021a/proutj | src/downloads/views.py | views.py | py | 483 | python | en | code | 0 | github-code | 1 |
4978143849 | print("========== LOJAS AMERICANAS ==========")
valor = float(input("Valor das compras? R$"))
print("[1] á vista dinheiro/cheque")
print("[2] á vista no cartão")
print("[3] em até 2x no cartão")
print("[4] 3x ou mais no cartão")
opcao = int(input("Qual a sua opção? "))
if opcao == 1:
novo = valor * 10/100
p... | nicolasdonada/Exerc-ciosEmPython | DESAFIOS/desafio44.py | desafio44.py | py | 1,333 | python | pt | code | 2 | github-code | 1 |
31097782837 | """
Hold the functionality of Image Recognition and Verification
"""
import face_recognition
import numpy as np
from PIL import Image, ImageDraw
class Image_recog:
""" Holds the functionality of testing similarity between two images """
def __init__(self, im1, im_smiling, im_not_smiling):
self.im_kn... | yohanguez/Hackathon_2018 | image_recognition/image_recog.py | image_recog.py | py | 8,201 | python | en | code | 1 | github-code | 1 |
11367251439 | # Menu drive banking app
# PAN number is considered as Primary key for all banking operations
# Customer Name,Account Number,Balance, Date of Birth, Phone Number, Address are stored as customer details
import datetime
import os,sys
import re
import random
import csv
import pandas as pd
def create_acc():
... | aravind51097/Menu_Driven_Bank_management_system | BankingApp.py | BankingApp.py | py | 6,395 | python | en | code | 0 | github-code | 1 |
32486212791 | ############## 주의 ##############
# 입력을 받기위한 input 함수는 절대 사용하지 않습니다.
# 내장 함수 sum, min, max, len 함수를 사용하지 않습니다.
# 사용시 감점처리 되니 반드시 확인 바랍니다.
def get_row_col_maxsum(matrix):
length_r = 0 # 행의 크기
length_c = 0 # 열의 크기
flag = 0 # 최대값이 나온 줄이 행인지 열인지 판단
ans = -int(... | CrimsonTheLegoBuilder/MyBaekjoonSolve | hw/test230731/problem11.py | problem11.py | py | 2,358 | python | ko | code | 0 | github-code | 1 |
36656597894 | #!/usr/bin/env python3
def main():
with open('input.txt') as f:
lines = [x.strip() for x in f.readlines()]
output_sum = 0
for l in lines:
print(l)
(pattern, output) = l.split(' | ')
pattern = pattern.split()
output = output.split()
known_pat = {}
k... | gerrowadat/adventofcode | 2021/8/2.py | 2.py | py | 2,857 | python | en | code | 1 | github-code | 1 |
30328203424 | class Solution:
def maxScore(self, cardPoints: List[int], k: int) -> int:
cumaltativeSum = [0]
count = 0
for i in cardPoints:
count+=i
cumaltativeSum.append(count)
count = 0
backsum = [0]
for i in cardPoints[::-1]:
count+=i
... | simratsingh14/algorithmns | 1423-maximum-points-you-can-obtain-from-cards/1423-maximum-points-you-can-obtain-from-cards.py | 1423-maximum-points-you-can-obtain-from-cards.py | py | 559 | python | en | code | 0 | github-code | 1 |
22725518291 | from scipy.ndimage import label as bwlabel
from computeNsSystem import computeNsSystem
from computeLinesDC import computeLinesDC, compute_lines_data_cost
from computeLinesLabelCost import computeLineLabelCost
import numpy as np
from LineExtraction_GC_MRFminimization import LineExtraction_GC_MRFminimization, line_extrac... | mishanius/handwriten-multi-skew-line-extraction | PostProcessByMRF.py | PostProcessByMRF.py | py | 2,758 | python | en | code | 3 | github-code | 1 |
36262588213 | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 7 21:37:25 2022
@author: Han
"""
import torch
import numpy as np
import pandas as pd
import warnings
import time
from utils import mapping, normalization
from ATCNN_model import ATCNN, switch, to_binary, ATCNN_9LiFi
warnings.filterwarnings("ignore")
# t... | HanJi-UCD/ATCNN | ATCNN_acc_test.py | ATCNN_acc_test.py | py | 6,470 | python | en | code | 0 | github-code | 1 |
38941150416 | import abc
from typing import (
Callable,
TypeVar,
Any,
NamedTuple,
Optional,
Union,
Set,
List,
Dict,
Type,
Tuple,
)
from livestatus import SiteId
from marshmallow import Schema # type: ignore[import]
from marshmallow.fields import ( # type: ignore[import]
List as MLis... | superbjorn09/checkmk | cmk/utils/bi/bi_lib.py | bi_lib.py | py | 15,623 | python | en | code | null | github-code | 1 |
13482944607 | def drill(canvas):
canvas = canvas.lstrip("´`:")
canvas = canvas.rstrip(".")
power = 0
speed = 0
surface = []
cycle = 0
for item in canvas:
if item == '-':
power += 1
elif item == '=':
power += 2
elif item == ">":
speed += 1
... | SabigBenmumin/PythonPractice | normal_day/before_pee1/lunar_drilling.py | lunar_drilling.py | py | 1,152 | python | en | code | 0 | github-code | 1 |
36544529710 | # 力扣面试题10.10. 数字流的秩
"""
假设你正在读取一串整数。每隔一段时间，你希望能找出数字 x 的秩(小于或等于 x 的值的个数)。
请实现数据结构和算法来支持这些操作，也就是说：
实现 track(int x) 方法，每读入一个数字都会调用该方法；
实现 getRankOfNumber(int x) 方法，返回小于或等于 x 的值的个数。
"""
class TreeNode:
def __init__(self, x, rank=0) -> None:
self.val = x
self.rank = rank
self.right = None
... | buxucixingztx/cpp_learning | leetcode/leetcode_interview_10-10/interview_10_10.py | interview_10_10.py | py | 1,602 | python | zh | code | 0 | github-code | 1 |
41303685951 | from pickle import GET
from flask import Flask, render_template, request, redirect, url_for, session
import requests
from bs4 import BeautifulSoup
import datetime
app = Flask(__name__)
@app.route('/' , methods=['GET', 'POST'])
def index():
return render_template('index.html')
# Create route that displays t... | davidbardales17/music_traveler | music_traveler/webapp.py | webapp.py | py | 1,478 | python | en | code | 0 | github-code | 1 |
7015619706 | import re
from mock import Mock, patch
from nose.tools import assert_equal
from nose.tools import assert_is_instance
from unittest import TestCase
from flask import request
from twilio import twiml
from strowger import switch
TEST_TWILIO_REQUEST_DATA = {
'From': '+14155551234',
'To': '+14158675309',
'Num... | skimbrel/strowger | tests/test_switch.py | test_switch.py | py | 4,458 | python | en | code | 9 | github-code | 1 |
74045510113 | import random
from not_last import last_but_one
PUPILS_LIST = [
("Вася Пупкин", 3.2),
("Петя Дудкин", 3.9),
('Юра Баранкин', 4.100_01),
("Костя Малинин", 3.141_592),
("Зина Фокина", 4.8),
("Артур Пирожков", 3.2),
("Гадя Петрович", 3.141_592)
]
def test_vasya_wins():
pupils = list(PUP... | intyamo/dz | not_last/test_not_last.py | test_not_last.py | py | 931 | python | ru | code | 1 | github-code | 1 |
2011552662 | import datetime
import requests
from io import BytesIO
from PIL import Image, ImageEnhance
import discord
from discord.ext import commands
from lynxie.config import IMAGE_EXTENSIONS, IMAGE_OVERLAYS
from lynxie.utils import error_message
class Img(commands.Cog):
def __init__(self, bot):
self.bot = bot
... | Fluffy-Bean/Lynxie | Bot/lynxie/commands/image.py | image.py | py | 9,728 | python | en | code | 0 | github-code | 1 |
35316999320 | #!/usr/bin/env python
import sys
for line in sys.stdin:
line = line.strip()
key_value = line.split(",")
key_in = key_value[0].split(" ")
value_in = key_value[1]
if value_in[0:3]=='ABC':
print( '%s\t%s' % (key_in[0], value_in) )
elif value_in.isdigit():
print( '%s\t%s' %... | mandichen/data-ramblings | Hadoop/join2_mapper.py | join2_mapper.py | py | 345 | python | en | code | 0 | github-code | 1 |
70270029795 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
def _float_feature(values):
"""Helper for creating a Float Feature."""
return tf.train.Feature(float_list=tf.train.FloatList(value=values))
def _int64_feature(... | brain-research/hyperbolictext | nli/tfrecord_creator.py | tfrecord_creator.py | py | 2,155 | python | en | code | 8 | github-code | 1 |
29317981995 | import matplotlib.pyplot as plt
xlabels = ['64', '128', '256', '512', '1024', '2048', '4096']
x = range(len(xlabels))
y = [0.0679, 0.0766, 0.0786, 0.0793, 0.0788, 0.076, 0.0688]
y1 = [0.0220, 0.02654, 0.02707, 0.02747, 0.02729, 0.02709, 0.0229]
coefficients = np.polyfit(x, y, 2) # 2表示2次项拟合
p = np.poly1d(coefficients... | Lisennlp/paxml_praxis | paxml/my_scripts/plot_example.py | plot_example.py | py | 1,344 | python | en | code | 0 | github-code | 1 |
37369014887 | # sumar pares mayores a cero
print("Suma de números mayores a cero y pares")
n1 = int(input("ingrese 1er número:"))
n2 = int(input("ingrese 2do número:"))
n3 = int(input("ingrese 3er número:"))
contador = 0
suma = 0
if n1 > 0 and n1 % 2 == 0:
suma += n1 # suma = suma + n1
else:
contador+=1
if n2 > 0 and n2 % 2... | patricioyanez/Algoritmos2023_04 | EA2/Ejercicio6SumarPares.py | Ejercicio6SumarPares.py | py | 530 | python | es | code | 0 | github-code | 1 |
7602666475 | class Solution:
def isHappy(self, n: int, visited= None) -> bool:
if visited is None:
visited = set()
if n == 1:
return True
if n in visited:
return False
visited.add(n)
new_num = sum(int(digit)**2 for digit in str(n))
return se... | nelson123-lab/Leetcode_solved_problems_solutions | Top 150 interview questions/HashMap/202. Happy Number.py | 202. Happy Number.py | py | 745 | python | en | code | 0 | github-code | 1 |
34763790059 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('algo', '0002_auto_20170629_1511'),
]
operations = [
migrations.AddField(
model_name='results',
name=... | HSISeg/HSISeg | algo/migrations/0003_results_status_text.py | 0003_results_status_text.py | py | 426 | python | en | code | 4 | github-code | 1 |
8513263835 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
""" Given a User ID, returns the list of user templates and associated strengths
"""
import sys
import traceback
import barbante.config as config
from barbante.context import init_session
import barbante.maintenance.user_templates as user_templates
import barbante.utils... | hypermindr/barbante | barbante/api/get_user_templates.py | get_user_templates.py | py | 1,140 | python | en | code | 10 | github-code | 1 |
28234953103 | import time
import urllib
import pandas as pd
url = 'http://localhost:5001/download'
raw_data_path = 'data/raw/'
raw_data_file_name = 'creditcard.csv'
if __name__ == '__main__':
start = time.time()
print('PROCESS STARTED')
print(f'\nGET data from {url}...')
try:
df = pd.read_csv(url)
... | gprzy/real-time-fraud-detection | etl/airflow/scripts/extract.py | extract.py | py | 719 | python | en | code | 1 | github-code | 1 |
42585287863 | """Converter."""
def dec_to_binary(dec: int) -> str:
"""
Convert decimal number into binary.
:param dec: decimal number to convert
:return: number in binary
"""
if dec == 0:
return str(0)
elif dec < 0:
return False
else:
binary = ""
while dec > 0:
... | IPSPoDD/iti0102-2019 | ex02_binary/binary.py | binary.py | py | 740 | python | en | code | 0 | github-code | 1 |
6187045808 | import os
import math
import pandas as pd
# load our data
twitter_data_filename = "clean_tweets_pred.csv"
twitter_data = pd.read_csv(twitter_data_filename)
black_white_characters = pd.read_csv("black_white_characters.csv")
black_chars = list(black_white_characters["black"])
white_chars = list(black_white_characters["... | kingsman142/cs6474-reddit-collection | twitter_analysis.py | twitter_analysis.py | py | 2,640 | python | en | code | 0 | github-code | 1 |
25695942727 | import os
import cv2
import numpy as np
import imutils
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
from tqdm import tqdm
DATA = 'task-2'
BASE_FRAME = 'frame_0.jpg'
HSVLOW = tuple([17, 34, 146])
HSVHIGH = tuple([51, 217, 226])
area = []
table_centers = []
table_rectangles = []
counter_dict... | prasadsawant5/person-counter | main.py | main.py | py | 4,480 | python | en | code | 0 | github-code | 1 |
71823933475 | import re
from functools import reduce
from enum import Enum
class Error_ID(Enum):
OK = 0
ERR_EMPTY_INPUT = 1
ERR_INVALID_COMMAND = 2
ERR_INVALID_DOC_INDEX = 3
ERR_NO_DOC_ID = 4
ERR_NO_TOKENS = 5
ERR_KEY_NOT_FOUND_IN_DB = 6
ERR_DB_ENTRY = 7
ERR_TOKENS_NON_ALPHA = 8
ERR_EMPTY_DB = 9
ERR_NO_EXP = 1... | NAVEENMN/PersonalArchives | simple_sengine/utils.py | utils.py | py | 4,799 | python | en | code | 0 | github-code | 1 |
3177425387 |
#Part 1
with open('day1input.txt') as in_file:
count = 0
prev = None
for line in in_file:
cur = int(line.strip())
if prev != None and cur > prev:
count+=1
prev = cur
print(count)
#PART 2
import sys
with open('day1input.txt') as in_file:
count = 0
prev = None
... | qzcx/AoC2021 | day1.py | day1.py | py | 656 | python | en | code | 0 | github-code | 1 |
6053089190 | import os
from qutebrowser.config.configfiles import ConfigAPI
from qutebrowser.config.config import ConfigContainer
config: ConfigAPI = config
c: ConfigContainer = c
config.unbind("d", mode="normal")
config.unbind("r", mode="normal")
config.unbind("<Ctrl-w>", mode="normal")
config.set("content.javascript.enabled", ... | ewok/dotfiles | roles/browser/templates/config/qutebrowser.py | qutebrowser.py | py | 24,084 | python | en | code | 1 | github-code | 1 |
24085619860 | # -*- encoding: utf8 -*-
import db
from db.util import *
from libs.cache import mem_cache
default_group_permission = {
"add_task": True,
"add_anonymous_task": True,
"add_task_limit_size": 20,
"add_task_limit": True,
"mod_task": True,
"view_tasklist": True,
"view... | binux/lixian.xunlei | libs/user_manager.py | user_manager.py | py | 4,492 | python | en | code | 361 | github-code | 1 |
10546935939 | from PyQt5.QtWidgets import QWidget, QApplication
from PyQt5.QtCore import Qt, QPoint, QRect, pyqtSignal
from PyQt5.QtGui import QMouseEvent, QPixmap, QPainter, QBrush, QColor
class RectangleSelectionBackground(QWidget):
left_clicked = pyqtSignal()
right_clicked = pyqtSignal(QMouseEvent)
rectangle_select ... | Snaiel/dbx-interface | package/ui/widgets/explorers/base/selection_background.py | selection_background.py | py | 2,055 | python | en | code | 2 | github-code | 1 |
5306291392 | import urllib.parse
import requests
main_api = "https://www.mapquestapi.com/directions/v2/route?"
orig = "Rome, Italy"
dest = "Frascati, Italy"
key = "8qyd7dX1sai7AoMT2RmrXALq5a2T5u2a" #your own key
url = main_api + urllib.parse.urlencode({"key":key, "from":orig, "to":dest})
json_data = requests.get(url).json()
prin... | BenjamssOdisee/Devnet-Skills-2022-2023 | labs/devnet-src/mapquest/mapquest_parse-json_1.py | mapquest_parse-json_1.py | py | 334 | python | en | code | 0 | github-code | 1 |
70711738913 | import base64
import json
import pickle
from django_redis import get_redis_connection
from utils.cookiesecret import CookieSecret
# def merge_cart_cookie_to_redis(request, user, response):
# """
# 登录后合并cookie购物车数据到Redis
# :param request: 本次请求对象，获取cookie中的数据
# :param response: 本次响应对象，清除cookie中的数据
# ... | libin-c/Meiduo | meiduo/apps/carts/utils.py | utils.py | py | 2,909 | python | en | code | 0 | github-code | 1 |
42631149842 | import time
from threading import Thread
from tkinter import *
from PIL import Image,ImageTk
import cv2
class LiveCameraWindow(Frame):
def __init__(self, camera, parent):
self.lmain = None
self.window = None
self.parent = parent
self.camera = camera
self.test_frame = None
... | TIS2022-FMFI/spektroskop-mikroskop | gui_widgets/LiveCameraWindow.py | LiveCameraWindow.py | py | 1,654 | python | en | code | 0 | github-code | 1 |
19877897744 | import numpy as np
from random import random,randint,choice,uniform,shuffle,randrange
from operator import itemgetter
from collections import deque
def gnp(n,p):
a=[[0 for i in range(n)] for j in range(n)]
for i in range(1,n):
for j in range(i):
if(random()<=p):
a[... | plaskod/ok | Evocol/tabu.py | tabu.py | py | 6,584 | python | en | code | 0 | github-code | 1 |
10603092475 | from _collections import deque
import sys
sys.stdin = open('노드.txt')
def prin(a):
for i in range(len(a)):
print(*a[i])
def bfs(x, end):
que = deque()
que.append(x)
visited[x] = 1
while que:
x = que.popleft()
for y in range(1, V+1):
if G[x][y] == 1 and visited[y]... | nopasanadamindy/Algorithms | 10. Queue/노드3.py | 노드3.py | py | 1,089 | python | en | code | 0 | github-code | 1 |
10651399398 | class Solution(object):
def calculate(self, s):
numbers,opts,i= [],[],0 #分别存数字列表,运算符列表和索引
while i < len(s):
if s[i] == " ": #忽略空格
i += 1
elif s[i] == "+" or s[i] == "-" or s[i] == "*" or s[i] == "/": #加减乘除加入运算符列表
opts.append(s[i])
... | radarcly/leetcode-cn-python | 227.基本计算器2/answer.py | answer.py | py | 1,377 | python | en | code | 0 | github-code | 1 |
4892480619 |
import numpy as np
from scipy.io.wavfile import write
import matplotlib.pyplot as plt
# Set the parameters for the sine wave
frequency = 440 # Hz
duration = 2.0 # seconds
amplitude = 0.5 # amplitude of the sine wave
# Generate the time points for the sine wave
t = np.linspace(0, duration, int(duration * 44100))... | axeldav/synth | sine.py | sine.py | py | 635 | python | en | code | 0 | github-code | 1 |
27488738949 | import os
import json
import random
SPLIT_FILES = {
# 'train': ['train_data_1_train.json', 'train_data_2_train.json', 'train_data_3_train.json',
# 'train_data_4_train.json', 'train_data_5_train.json', 'train_data_6_train.json'],
# 'val': ['val_data_val.json'],
'test5': ['test_data_5_test.js... | FJsRepo/InfML-HDD | lib/datasets/HorizonSet.py | HorizonSet.py | py | 2,793 | python | en | code | 2 | github-code | 1 |
17407307596 | # -*- coding: utf-8 -*-
# Adam Thompson 2018
import yaml
import os
class ConfigReader:
def __init__(self, job_path):
"""Initialize configReader class with a path to the root of the job"""
self.job_path = job_path
self.ymlFileName = "config.yml"
self.configPath = os.path.join(self.job_path, self.ymlFileName)... | akoeste3dpu/projectLauncher | ConfigReader.py | ConfigReader.py | py | 3,199 | python | en | code | 1 | github-code | 1 |
2990352123 | import numpy as np , pandas as pd
import csv
from math import sqrt
import sklearn.linear_model as lm
from sklearn.model_selection import KFold
from sklearn.metrics import mean_squared_error
#init
lamda_ = [.01, .1 , 1 , 10, 100]
RMSE = np.zeros(5)
data = pd.read_csv("train.csv").set_index("Id")
X = np.arra... | rafisondi/CourseProjects | Introduction to Machine Learning/Task 1/Task_1a/Task_1a.py | Task_1a.py | py | 994 | python | en | code | 0 | github-code | 1 |
10110351631 | from time import sleep
from adafruit_servokit import ServoKit
kit = ServoKit(channels=16)
def calibration_cycle():
for i in range(5):
kit.servo[i].angle = 0
def movement(finger, motion):
servono = int(finger) - 1
if motion == "close" or motion == "Close":
angle = 180
elif motion == "open" or motion == "Open"... | abhiramra/3d-prosthetic-hand | servo.py | servo.py | py | 651 | python | en | code | 0 | github-code | 1 |
26663471242 | # pyright: reportMissingImports=false
import time
from threading import Thread
import numpy as np
import logging
import traceback
import ms5837
import os
import shlex # TODO pip3 install this if not default
import re
from datetime import datetime, timezone
logging.basicConfig(level=logging.DEBUG, filename="/home/pi/dat... | noahaosman/MeltStake | Operations.py | Operations.py | py | 12,508 | python | en | code | 0 | github-code | 1 |
32485949171 | def cover(r, c):
t = town[r][c]
for x in range(1, towers[t]+1): # 기지국의 종류에 따라 범위가 달라짐
for o in range(4):
nr = r + drc[o][0] * x
nc = c + drc[o][1] * x
if 0 <= nr < N and 0 <= nc < N and town[nr][nc] == 'H':
town[nr][nc] = 'X' # 커버되는 곳은 전부 X로 바꿔버리기
... | CrimsonTheLegoBuilder/MyBaekjoonSolve | hw/sw11671.py | sw11671.py | py | 1,102 | python | ko | code | 0 | github-code | 1 |
11185509756 | from .basemodel import BaseModel
class Associado(BaseModel):
def __init__(self, content):
super().__init__(content)
[self.codigo, self.nome, self.codigoFoto, self.codigoEquipe, self.username, self.numeroDigito, self.dataNascimento, self.dataValidade, self.nomeAbreviado, self.sexo, self.codigoRamo... | escoteirando/escoteirando.org | src/backend/infra/mappa_hack/mappa/associado.py | associado.py | py | 1,301 | python | pt | code | 0 | github-code | 1 |
40888234114 | import re
import sys
import string
from collections import Counter
punctuation_regex = re.compile("[" + re.escape(string.punctuation) + "]")
def extract_words(line):
no_punctuation = re.sub(punctuation_regex, "\n", line)
lowered = no_punctuation.lower()
return lowered.split()
def main():
counter = Counter()... | Mequrel/pjn | lab1/python.py | python.py | py | 577 | python | en | code | 0 | github-code | 1 |
5593091123 | n,m = map(int, input().split())
arr = []
d = {'.':0,'-':1,'B':2,'W':3}
rd = {0:'.',1:'-',2:'B',3:'W'}
for i in range(n):
temp = input()
t = []
for j in temp:
t.append(d[j])
arr.append(t)
for i in range(n):
for j in range(m):
if arr[i][j]==1:
arr[i][j]=rd[1]
elif... | mayank-kumar-giri/Competitive-Coding | A2OJ/(lt) 1300/dzy_loves_chessboard.py | dzy_loves_chessboard.py | py | 658 | python | en | code | 0 | github-code | 1 |
71715189153 | #my first python project
#it is a calculator
a = input ("give the first number: ")
b = input ("give the sceond number: ")
c = input ("give the operator ")
if c == "+" :
x=a+b
print ("it is summation")
elif c == "-" :
x= a-b
print ("it is minus")
elif c == "/" :
x= a/b
print ("it is division")
... | ayon121/My-Python-Projects | python_project_1.py | python_project_1.py | py | 473 | python | en | code | 0 | github-code | 1 |
41283279538 | from hypothesis import given
from hypothesis.strategies import lists, builds
from cim.collection_validator import validate_collection_unordered
from cim.iec61970.base.core.test_identified_object import identified_object_kwargs, verify_identified_object_constructor_default, \
verify_identified_object_constructor_kw... | zepben/evolve-sdk-python | test/cim/iec61970/base/core/test_sub_geographical_region.py | test_sub_geographical_region.py | py | 2,324 | python | en | code | 3 | github-code | 1 |
42943055341 | class Item: # This creates a class with name Item
def __init__(self, name: str, price: int, quantity=0):
"""
1. __init__(self)
Is auto called whenever an instance of the class is called
(self) argument is any and all instances created. eg. item1, item2
2. Al... | okiromosh/OOP-In-Python-Lessons | L2-Using__init__Method.py | L2-Using__init__Method.py | py | 2,071 | python | en | code | 0 | github-code | 1 |
34837455714 | import argparse
import logging
import hashlib
import nltk
from nltk.corpus import stopwords
logging.basicConfig(level=logging.INFO)
from urllib.parse import urlparse
import pandas as pd
logger = logging.getLogger(__name__)
def main(filename):
logger.info('Starting cleanig process')
df = _read_data(filename)
... | crizleo/proceso_de_ETL | transform/news_paper_recipe.py | news_paper_recipe.py | py | 3,674 | python | en | code | 0 | github-code | 1 |
12234701121 | class Solution:
def coinChange(self, coins: List[int], amount: int) -> int:
cache = [inf] * (amount + 1)
cache[0] = 0
for i in range(1,amount + 1):
for coin in coins:
if i - coin >=0:
cache[i] = min(cache[i],1+cache[i-... | amanyih/Competitive-Programming | 0322-coin-change/0322-coin-change.py | 0322-coin-change.py | py | 446 | python | en | code | 2 | github-code | 1 |
21838208246 | __author__ = 'Ricardo Del Río'
from loggers import MyLogger
# -------------------------------------------------------------------------------------------------------------- LOGGERS
log_i = MyLogger(__name__, name='SERVIDOR',
formatter='%(name)s[{0}]: %(message)s'.format(__name__))
log_w = MyLogge... | RickyCode/ProgramacionAvanzada | Tareas/T06/Servidor/chat.py | chat.py | py | 1,344 | python | es | code | 0 | github-code | 1 |
1816097182 | # See readme.md for instructions on running this code.
import random
from typing import Any, Dict, List
from zulip_bots.lib import BotHandler, use_storage
class CodeExquisHandler:
def initialize(self, bot_handler: BotHandler) -> None:
storage = bot_handler.storage
if not storage.contains("line... | eviau/code-exquis | code_exquis.py | code_exquis.py | py | 7,354 | python | en | code | 0 | github-code | 1 |
36368439793 | import json
import datetime
import matplotlib.pyplot as plt
import pytz
with open('/Users/decarlo/conda/steelyards/camera_garage.jsonl', 'r') as json_file:
json_list = list(json_file)
car_list = []
person_list = []
bike_list = []
t_list = []
tp_list = []
tb_list = []
for json_str in json_list:
result = js... | decarlof/steelyards | garage/garage.py | garage.py | py | 1,473 | python | en | code | 0 | github-code | 1 |
33516111574 | import json
from django.http import JsonResponse
from django.views import View
from django.db.models import Avg
from homes.models import Home
from users.models import User
from bookmarks.models import BookMark
from users.utils import ConfirmLogin
class BookmarkView(View):
@Co... | wecode-bootcamp-korea/15-2nd-CodeBnB-backend | bookmarks/views.py | views.py | py | 3,575 | python | en | code | 0 | github-code | 1 |
12092507814 | # 导入若干工具包
import torch
import torch.nn as nn
import torch.nn.functional as F
# 定义一个简单的网络类
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
# 定义第一层卷积神经网络, 输入通道维度=1, 输出通道维度=6, 卷积核大小3*3
self.conv1 = nn.Conv2d(1, 6, 3)
# 定义第二层卷积神经网络, 输入通道维度=6, 输出通道维度=16, 卷积核大小3*3
... | Eye-Wuppertal/NLP_Learning | test/t_01pytorch_base/torchnn.py | torchnn.py | py | 1,761 | python | en | code | 1 | github-code | 1 |
71082068835 | import string
import random
import re
import datetime
from tornado_json.requesthandlers import APIHandler
from python_mysql_dbconfig import getconnection
class LinksAPIHandler(APIHandler):# pylint: disable=too-few-public-methods
__url_names__ = ["links"]
class GetLinks(LinksAPIHandler):# pylint:... | Evgen174/api | slink/api.py | api.py | py | 3,503 | python | en | code | 0 | github-code | 1 |
4533876898 | #references : https://youtu.be/pp61TbhJOTg
#ieee paper link : https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=brain+tumor+detection&oq=brain+#d=gs_qabs&u=%23p%3DVe4XM0A9CzEJ
import os
import cv2
import tensorflow as tf
from tensorflow import keras
from PIL import Image
import numpy as np
import pandas a... | oskorp/_detANNFL_Brain_tumor | main.py | main.py | py | 4,050 | python | en | code | 0 | github-code | 1 |
7572142954 | import logging
logging.basicConfig(level=logging.INFO, format='%(message)s')
def addition(x, y):
logging.info(f"Dodaję {x} i {y}")
return x + y
def subtraction(x, y):
logging.info(f"Odejmuję {y} od {x}")
return x - y
def multiplication(x, y):
logging.info(f"Mnożę {x} razy {y}")
return x *... | qrnik/Kodilla | 4.4zad_improved.py | 4.4zad_improved.py | py | 1,240 | python | pl | code | 0 | github-code | 1 |
29626850568 | from cpu import CPU
if __name__ == "__main__":
cpu = CPU()
cpu.parse_instruction_definitions(["instructions/core.instr"])
interrupts = [
]
while not cpu.halt:
cpu.run(1)
if len(interrupts) > 0:
cpu.devices[interrupts[0][0]].interrupt(cpu, interrupts[0][1])
i... | tommasopeduzzi/TDP-11 | emulator/main.py | main.py | py | 352 | python | en | code | 0 | github-code | 1 |
32005544758 | import logging
import requests
import pandas as pd
from datetime import date
from datetime import datetime
def main():
logging.basicConfig(filename='app.log', filemode='a', format='%(asctime)s - %(message)s', level=logging.INFO)
df = pd.DataFrame(
columns=['district', 'city', 'county', 'instructional... | trackman1111/School-Opening-Scraper | illinois.py | illinois.py | py | 2,116 | python | en | code | 2 | github-code | 1 |
1039238635 | from torch import cuda
USE_CUDA = cuda.is_available()
LOAD_IMAGES_TO_MEMORY = False
# Files
CAPTIONS_DIR = '../data/coco/annotations/captions_{}2014.json'
KARPATHY_SPLIT_DIR = '../data/karpathy_splits/karpathy_{}_images.txt'
FEATURES_DIR = '../data/features/extracts/{}.npy'
CAPTION_VECTORS_DIR = '../data/caption_vecto... | chipbautista/295-deeprl-captioning | settings.py | settings.py | py | 1,419 | python | en | code | 2 | github-code | 1 |
24525843835 | '''
add data to dataset
'''
import os
import re
import sys
import time
import fcntl
import datetime
import commands
import brokerage.broker
from dataservice import DynDataDistributer
from dataservice.MailUtils import MailUtils
from dataservice.Notifier import Notifier
from taskbuffer.JobSpec import JobSpec
from datas... | edquist/panda-server | pandaserver/dataservice/EventPicker.py | EventPicker.py | py | 12,282 | python | en | code | null | github-code | 1 |
12802998686 | # -*- coding: utf-8 -*-
"""
Created on Fri May 18 10:25:58 2018
@author: 刘闯
欧几里得算法 求解公约数
"""
#A=Q*B+R if A>B
def GCD(A,B):
if A==0:
gcd=B
elif B==0:
gcd=A
else:
return GCD(B,A%B)
return gcd
print(GCD(27,123))
| LiuChuang0059/python_practise | graph algorithm/GCD.py | GCD.py | py | 302 | python | en | code | 43 | github-code | 1 |
45645092924 | from celery import states
from celery.task import Task
from celery.exceptions import Ignore
from vigil.celery import app
class LambdaBotInsufficientFundsTask(Task):
"""
Pre-process data from Lambda Bot when reporting
insufficient funds to place total walls
"""
expected_data = {
'exchange'... | inuitwallet/vigil | vigil/tasks/preprocessors/lambdabot_insufficient_funds.py | lambdabot_insufficient_funds.py | py | 1,859 | python | en | code | 0 | github-code | 1 |
11868818076 | import pandas as pd
import numpy as np
import sys
sys.path.append(".")
import unittest
import doctest
from func_analises import reindexacao_e_filtragem, df
class TestReindexacaoEFiltragem(unittest.TestCase):
# teste com parâmetro válido
def test_reindexacao_e_filtragem_com_dataframe(self):
# ... | AnaJAPR/Trabalho-A1-LP-2023.2 | tests/test_reindexacao_e_filtragem.py | test_reindexacao_e_filtragem.py | py | 1,278 | python | pt | code | 1 | github-code | 1 |
11631638088 | import flask
import json
import os
import alsaaudio
import mpv
import threading
import requests
import signal
import subprocess
app = flask.Flask(__name__, static_folder = '../gui/build/', static_url_path="/")
if os.environ.get('PIRADIO_DEV') is not None:
from flask_cors import CORS
CORS(app)
conf = json.loa... | titulebolide/Juicebox | api/app.py | app.py | py | 4,193 | python | en | code | 1 | github-code | 1 |
17566582575 |
from rest_framework.test import APIClient
# import status_code
from rest_framework import status
import pytest
from model_bakery import baker as Baker
from store.models import Collection ,Product ,Cart
# THIS FIXTURE IS SPECIFIC TO THIS TEST FILE
# RETURN THE API CALL FUNCTION
@pytest.fixture
# we cant not take param... | md-armaan13/storefront | store/tests/test_products.py | test_products.py | py | 2,806 | python | en | code | 0 | github-code | 1 |
37848324292 | import os
import re
from difflib import SequenceMatcher, get_close_matches
from typing import Tuple, Union
import pandas as pd
_src_path = os.path.dirname(__file__)
_data = pd.read_feather(os.path.join(_src_path, "data/state.ft"))
_states = list(_data["State"])
_data = pd.read_feather(os.path.join(_src_path, "data/... | sonesuke/nayose | nayose/address.py | address.py | py | 2,875 | python | en | code | 0 | github-code | 1 |
12121070236 | import matplotlib.pyplot as plt
import numpy as np
# Datenfile erzeugen
data_x = np.linspace(0, 10, 50)
data_y = 10 * np.exp(-data_x)
np.savetxt("3.txt", np.column_stack([data_x, data_y]), header="x y")
x, y = np.genfromtxt("3.txt", unpack=True)
fig, (ax1, ax2) = plt.subplots(1, 2, layout="constrained")
ax1.plot(x,... | pep-dortmund/toolbox-workshop | exercises-toolbox/3-matplotlib/3/loesung.py | loesung.py | py | 492 | python | en | code | 25 | github-code | 1 |
71721971875 | import torch
import torch.nn as nn
import numpy as np
import sys
import os
sys.path.append(os.path.join(os.getcwd(), "lib")) # HACK add the lib folder
# from models.backbone_module import Pointnet2Backbone
from lib.pointnet2.pointnet2_modules import PointnetSAModuleVotes, PointnetFPModule
from models.voting_module imp... | daveredrum/Scan2Cap | models/mask_votenet.py | mask_votenet.py | py | 10,906 | python | en | code | 89 | github-code | 1 |
40664832390 | import sys
sys.stdin = open("A1_input.txt")
def BubbleSort_sort(n): # O(n^2)
# for k in range(n-1):
for i in range(2):
for j in range(i+1, n):
if a[i] > a[j]:
a[i], a[j] = a[j], a[i]
n = int(input())
a = list(map(int, input().split()))
res = 0
a.sort()
while len(a) != 1:
... | manuck/Algorithm | codexpert(AD)/A1-최소비용으로 포장 다시하기.py | A1-최소비용으로 포장 다시하기.py | py | 451 | python | en | code | 0 | github-code | 1 |
20798577228 | """
File: logger.py
Modified by: Senthil Purushwalkam
Code referenced from https://gist.github.com/gyglim/1f8dfb1b5c82627ae3efcfbbadb9f514
Email: spurushw<at>andrew<dot>cmu<dot>edu
Github: https://github.com/senthilps8
Description:
"""
#import tensorflow as tf
from torch.autograd import Variable
import numpy as np
imp... | WeLoveKiraboshi/DeepTiltedDepthEstimation | utils/tb_logger.py | tb_logger.py | py | 5,043 | python | en | code | 0 | github-code | 1 |
4351575598 |
from dataclasses import dataclass
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from diffusers import DDIMScheduler
from diffusers.utils import BaseOutput
@dataclass
class NestedSchedulerOutput(BaseOutput):
"""
Output class for the scheduler's step function output.
Ar... | noamelata/NestedDiffusion | NestedScheduler.py | NestedScheduler.py | py | 8,833 | python | en | code | 13 | github-code | 1 |
41057279091 | import sys
import os
import shutil
import zipfile
from cx_Freeze import setup, Executable
APP_NAME = "MergeLogs"
# ビルドに含めるパッケージとモジュールを指定
packages = ['module']
includes = []
excludes = []
# 実行ファイルの設定
exe = Executable(
script='main.py', # 実行ファイルとなるスクリプト
targetName=(APP_NAME + '.exe'), # 出力ファイル名
base=Non... | pinfu-jp/MergeFilesByPython | setup.py | setup.py | py | 1,732 | python | ja | code | 2 | github-code | 1 |
1084288061 | #!/usr/bin/env python3
# Requires python3 >= 3.4, and stress-ng to be installed.
import subprocess
import sys
from statistics import stdev, mean
def measure():
time_seconds = float(str(subprocess.check_output("stress-ng -c2 --cpu-method ackermann --cpu-ops 10 | grep -o '[0-9][0-9\.]*s'", shell=True), encoding="utf... | nh2/linux-bad-core-scheduling-investigation | test.py | test.py | py | 645 | python | en | code | 2 | github-code | 1 |
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