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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
34801867065 | import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
# Load the dataset
file_path = './data/Retail_Investors_Focus.xlsx'
data = pd.read_excel(file_path)
# Show basic information about the dataset and the first few rows
data_info = data.info()
first_rows = data.head()
data_info... | monacosc1/makeover-monday | 2023/W41/retail_investors.py | retail_investors.py | py | 1,367 | python | en | code | 0 | github-code | 13 |
23603257269 | import numpy as np
import matplotlib.pyplot as plt
try:
import cupy as cp
except ImportError or ModuleNotFoundError:
print('CuPy is not found, using NumPy backend...')
cp = np
def draw_PSF_difference(inp_0, inp_1, diff, is_log=False, diff_clims=None, crop=None, colormap='viridis'):
from mpl_toolkits.a... | EjjeSynho/LIFT | tools/misc.py | misc.py | py | 3,990 | python | en | code | 0 | github-code | 13 |
11001981670 | import subprocess
import threading
scan_complete_event = threading.Event()
def run_pocsuite_scan(target, poc_file):
pocsuite3_command = f"pocsuite -r {poc_file} -u {target}"
print(f"Starting Pocsuite3 scan for {target} using POC file {poc_file}")
try:
result = subprocess.run(pocsuite3_command... | yuag/bgscan | pocsuite3/pocsuite3.py | pocsuite3.py | py | 1,308 | python | en | code | 9 | github-code | 13 |
2260399068 | import numpy as np
import cv2
import pyzbar.pyzbar as pyzbar
import csv
import pandas as pd
import time
import tkinter as tk
item = [0,0,0,0,0,0,0,0,0,0]
def update_items_local(data):
global item
if data == 'Item:1':
item[0] = item[0]+1
elif data == 'Item:2':
item[1]=item[1]... | adil-ammar/Smart-Inventory-Management | Updation/Trial.py | Trial.py | py | 1,972 | python | en | code | 0 | github-code | 13 |
13809080168 | from typing import List,Tuple
from simulacion import Simulacion,Metrica,crear_eventos_llegada,Evento,crear_eventos_salida
from tareas import Tarea,tareas_random,string_a_fecha
import bisect
import configuracion
from configuracion import Configuracion,print
import json
from math import ceil
from administradores ... | alexiscaspell/task-simulator | app.py | app.py | py | 3,815 | python | es | code | 0 | github-code | 13 |
74190171217 | import sys
import cv2
import re
import os
def cutSkinHead(skinPath, headPath, size=(64, 64)):
img = cv2.imread(skinPath)
img = img[8:16, 8:16]
img = cv2.resize(img, size, interpolation=cv2.INTER_AREA)
cv2.imwrite(headPath, img)
if __name__ == '__main__':
skinPath = sys.argv[1] if len(sys.argv) >... | Gura-Dev/skin-service | main.py | main.py | py | 1,643 | python | en | code | 0 | github-code | 13 |
38711658221 | print("You in cinema.Please enter your age ")
while True:
print("If you want to stop write end")
answer=input("Write your age")
if answer.lower()=="end":
break
else:
answer=int(answer)
if answer<=3:
print("For you we haven't cost")
elif answer<12>3:
... | VigularIgnat/python | mygr/Exam/pr2.py | pr2.py | py | 416 | python | en | code | 0 | github-code | 13 |
30936382696 | #coding=utf-8
import copy, numpy as np
np.random.seed(0)
# compute sigmoid nonlinearity #定义sigmoid函数
def sigmoid(x):
output = 1/(1+np.exp(-x))
return output
# convert output of sigmoid function to its derivative #计算sigmoid函数的倒数
def sigmoid_outpu... | kanuore/lstm-in-mnist | reference/exmple.py | exmple.py | py | 6,234 | python | en | code | 0 | github-code | 13 |
45622166196 | import scrapy
from dianyingPro.items import DianyingproItem
class DianyingSpider(scrapy.Spider):
name = "dianying"
# allowed_domains = ["dianyi.ng"]
start_urls = ["https://dianyi.ng/v/action.html "]
# start_urls = ["https://www.hacg.sbs/wp/anime.html"]
url = 'https://dianyi.ng/v/action-%d.html'
... | Mryaochen/python_code | dianyingPro/dianyingPro/spiders/dianying.py | dianying.py | py | 1,944 | python | en | code | 1 | github-code | 13 |
20429632741 | import collections
import os.path as osp
from itertools import repeat
import torch.utils.data
from cogdl.data import Adjacency, Graph
from cogdl.utils import makedirs
from cogdl.utils import accuracy, cross_entropy_loss
def to_list(x):
if not isinstance(x, collections.Iterable) or isinstance(x, str):
x ... | sultanalnahian/gg-principle-classifier | graphmethods/cogdl/cogdl/data/dataset.py | dataset.py | py | 9,302 | python | en | code | 0 | github-code | 13 |
25888710772 | from flask import Flask, request, jsonify
from manipulateK6 import testJarServer
app = Flask(__name__)
@app.route('/actTest/<testType>/<testApi>/<userCount>')
def testK6(testType,testApi,userCount):
print(testType)
print(testApi)
print(userCount)
#print(testType,testApi,userCount)
# res = test... | offMomySon/Spring_performance_test | ForK6/clientForK6.py | clientForK6.py | py | 641 | python | en | code | 0 | github-code | 13 |
31236858489 | def homework_5(matrix, start, end, total): # 請同學記得把檔案名稱改成自己的學號(ex.1104813.py)
# 一個矩陣存取節點到節點間的路徑，一個矩陣存取節點中插入的中轉點。
path = [[-1]*total for _ in range(total)] #設計一個n*n矩陣來填入path
A = [[0]*total for _ in range(total) ] #設計一個n*n矩陣來填入初始數對應步數
for i in range(len(matrix)): #將題目給的數值及對應步數丟到矩陣A
if i>... | daniel880423/Member_System | file/hw5/1100421/hw5_s1100421_4.py | hw5_s1100421_4.py | py | 2,071 | python | en | code | 0 | github-code | 13 |
36150509226 | # import pdb; pdb.set_trace()
import argparse
import itertools
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import numpy as np
import seaborn as sns
import pandas as pd
from seaborn_fig_2_grid import SeabornFig2Grid
from collections import defaultdict
plt.style.use('seaborn')
plt.rc('font'... | sayuj-choudhari/Causal-Inference-SURF-2023 | acc_vs_err_jointplot.py | acc_vs_err_jointplot.py | py | 8,846 | python | en | code | 0 | github-code | 13 |
42702913631 | class crud():
def __init__(self):
import os
self.os = os
print('Cadastro')
#Função para ler os dados cadastrados
def ler(self):
if not self.os.path.exists('base_dados.txt'):
escrita = open('base_dados.txt', 'w')
escrita.write('')
... | luizsouza1993/Data_Science_Python | crud.py | crud.py | py | 4,795 | python | pt | code | 0 | github-code | 13 |
7092502557 | from typing import List
class Solution:
def isMonotonic(self, nums: List[int]) -> bool:
ascendente = 'true'
for i in range(len(nums)-1):
if nums[i]>nums[i+1]:
ascendente = 'false'
break
descendente = 'true'
for i in range(len(num... | alexandreborgmann/leetcode | MonotonicArray.py | MonotonicArray.py | py | 660 | python | en | code | 0 | github-code | 13 |
31708786603 | from django.conf.urls import patterns, include, url
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.autodiscover()
#from haystack.views import SearchView
urlpatterns = patterns('',
# Examples:
url(r'^$', 'kudosapp.views.home', name='home'),
url(r'^directory/$', ... | exiao/TMKudos | kudos/kudos/urls.py | urls.py | py | 833 | python | en | code | 0 | github-code | 13 |
36333372835 | """
k 그룹으로 나눈다 -> k-1 개의 경계를 만들어야 한다.
가장 차이가 큰 숫자 사이에 경계를 만들면 최대이득이다.
=> 그 차이만큼 최종값에서 사라지고 0이 된다
"""
import sys
n, k = map(int, sys.stdin.readline().strip().split())
student = list(map(int, sys.stdin.readline().strip().split()))
# print(student)
answer = 0
if n == k:
print(answer)
sys.exit(0)
# 초기값 설정
ans... | bywindow/Algorithm | src/Greedy/백준_행복유치원_G5.py | 백준_행복유치원_G5.py | py | 694 | python | ko | code | 0 | github-code | 13 |
31722774603 | import pickle
from collections import defaultdict
import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
from matplotlib.font_manager import FontProperties
matplotlib.rcParams['font.family'] = 'Microsoft JhengHei'
font = FontProperties()
font.set_size('xx-small')
colormap = 'tab20'
pdm = 'data/draw-d... | exiaohu/multi-mode-route-rec | scripts/draw_poi_demand_pic.py | draw_poi_demand_pic.py | py | 1,362 | python | en | code | 6 | github-code | 13 |
22544026648 | import sys
input = sys.stdin.readline
stack = []
n = int(input())
for _ in range(n):
x = input().strip()
if "push" in x:
stack.append(x.split()[1])
elif x == "size":
print(len(stack))
elif x == "empty":
if len(stack) != 0:
print("0")
else:
print... | WeeYoungSeok/python_coding_study | class_2/class_2_10.py | class_2_10.py | py | 559 | python | en | code | 0 | github-code | 13 |
12617186898 |
class CreditCard:
def __init__(self, card_no, balance):
self.card_no = card_no
self.balance = balance
"""
Vinay_card_details : {
1001 : 2500,
2002 : 3000
}
"""
class InvalidCase(Exception):
def __init__(self, price, balance):
msg = "The actual price is : ", pr... | Vinaykuresi/Python_Full_Stack_Aug_2022 | Python/OOPS/Exception_handling/custom_exception.py | custom_exception.py | py | 1,659 | python | en | code | 0 | github-code | 13 |
33935961447 | # import faulthandler
import logging
import os
import sys
import time
from pathlib import Path
from typing import Union
import networkx as nx
import numpy as np
from graph_tool import Graph
from network_dismantling import dismantler_wrapper
from network_dismantling.FINDER_ND.FINDER import FINDER
from network_dismantl... | NetworkDismantling/review | network_dismantling/FINDER_ND/python_interface.py | python_interface.py | py | 4,788 | python | en | code | 6 | github-code | 13 |
40016824701 | from mpi4py import MPI
if __name__ == '__main__':
N = 10
L = []
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
nb_proc = comm.Get_size()
for i in range(int(N/nb_proc*rank), int(N/nb_proc*(rank+1))):
L.append(i)
data = comm.gather(L, root=0)
if rank == 0:
print(data)
| lechevaa/Test_NR440 | main.py | main.py | py | 318 | python | en | code | 0 | github-code | 13 |
72758493777 | CLASS_TO_COLOR = {
'f2f' : (0, 1, 0), # Green
'df' : (1, 0, 0), # Red
'fs' : (0, 1, 1), # Cyan
'icf' : (1, 0.6, 0), # Orange
'gann': (1, 0.7, 0.8), # Pink
'x2f' : (0, 0, 1) # Blue
}
CLASS_TO_LABEL = {
'real' : 'Real',
'df' : 'Deepfakes',
'f2f' : 'Face2F... | jcbrockschmidt/face-forgery-detection | scripts/visualize/common.py | common.py | py | 426 | python | fr | code | 3 | github-code | 13 |
72865887057 | import os
import glob
import cdms2
import numpy as np
import numpy.ma as ma
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import cartopy.crs as ccrs
from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter
plotTitle = {'fontsize': 11.5}
plotSideT... | zshaheen/e3sm_time_series | diff.py | diff.py | py | 4,903 | python | en | code | 1 | github-code | 13 |
73261176018 | from flask import Blueprint, render_template, request, redirect, abort
from flask.helpers import url_for
from flask_login import login_required, logout_user, login_user
from models import User
from urllib.parse import urlparse, urljoin
from dotenv import load_dotenv
import atexit
from flask_login import login_required... | YashKandalkar/eco-mart | blogs.py | blogs.py | py | 2,005 | python | en | code | 1 | github-code | 13 |
27044781406 | import factory
from unittest import mock
from .models import Submission
from .provider import get_or_create_submission_result
class SubmissionFactory(factory.django.DjangoModelFactory):
class Meta:
model = Submission
def test_get_result_if_reply_was_evaluated():
reply = "test reply"
SubmissionF... | Akay7/solving-code-problems | backend/solution_verification_provider/tests.py | tests.py | py | 2,183 | python | en | code | 0 | github-code | 13 |
35959218043 | # Rhys Dunn - 2015
# Learning image vision/OpenCV
# import libraries
import numpy as np
import cv2
# load image
img = cv2.imread("money.jpg")
# prep image - blur and convert to grey scale
grey = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(grey, (17, 17), 0)
# show blurred image and grey sca... | kineticR/Image-coin-counter | coin counter.py | coin counter.py | py | 867 | python | en | code | 10 | github-code | 13 |
31494294262 | # Faça um programa para imprimir:
# 1
# 2 2
# 3 3 3
# .....
# n n n n n n ... n
# para um n informado pelo usuário. Use uma função que receba um valor n inteiro e imprima até a n-ésima linha.
#
while True:
try:
a = int(input('Número de valores: '))
break
exc... | GuilhermeMastelini/Exercicios_documentacao_Python | Funções/Lição 1.py | Lição 1.py | py | 413 | python | pt | code | 0 | github-code | 13 |
16129665243 | #!/usr/bin/python3
from PIL import Image, ImageOps
def add_border(input_image, output_image, border):
img = Image.open(input_image)
if isinstance(border, int) or isinstance(border, tuple):
bimg = ImageOps.expand(img, border=border)
else:
raise RuntimeError("Border is not an integer or tu... | udhayprakash/PythonMaterial | python3/11_File_Operations/03_multimedia/a_image_files/13_applying_borders.py | 13_applying_borders.py | py | 1,005 | python | en | code | 7 | github-code | 13 |
18606006524 | from scenario_builder import Scenario
from scenario_builder.openbach_functions import StartJobInstance
from scenario_builder.helpers.service.dash import dash_client, dash_client_and_server
from scenario_builder.helpers.postprocessing.time_series import time_series_on_same_graph
from scenario_builder.helpers.postprocess... | CNES/openbach-extra | apis/scenario_builder/scenarios/service_video_dash.py | service_video_dash.py | py | 2,730 | python | en | code | 0 | github-code | 13 |
18998687347 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from dwave.system import DWaveSampler, EmbeddingComposite
import dwave.inspector as inspector
from mapping_qubits import *
def Merge(dict_1, dict_2):
result = dict_1 | dict_2
return result
# {(0, 0): 4, (1, 1): 3, (0, 1): 10}
def auto_embedding... | fedeFuidio/quantum_embedding | quadratic_embedding.py | quadratic_embedding.py | py | 2,071 | python | en | code | 0 | github-code | 13 |
32798979231 | """Install Dallinger as a command line utility."""
import pathlib
from setuptools import setup
# The directory containing this file
HERE = pathlib.Path(__file__).parent
README = (HERE / "README.md").read_text(encoding="utf-8")
setup_args = dict(
name="dallinger",
packages=["dallinger", "dallinger_scripts"]... | Dallinger/Dallinger | setup.py | setup.py | py | 3,751 | python | en | code | 113 | github-code | 13 |
38577954561 | import logging
from logging.handlers import TimedRotatingFileHandler
def get_standard_logger(pgm_name):
logger = logging.getLogger('eyesone')
if logger.hasHandlers():
return logger
# 로그 레벨 설정
logger.setLevel(logging.DEBUG)
# 콘솔 출력 핸들러
stream_handler = logging.Str... | mrbluesky0123/eyesone-game | score_system/common/logger.py | logger.py | py | 918 | python | ko | code | 1 | github-code | 13 |
6263396224 | import cv2
windowName = "threshold image"
trackbarValue = "threshold scale"
scaleFactor = 0
maxScale = 255
imagePath = "CoinsB.png"
src = cv2.imread(imagePath, cv2.IMREAD_GRAYSCALE)
cv2.namedWindow(windowName,cv2.WINDOW_AUTOSIZE)
def threshold_image(*args):
global scaleFactor
scaleFactor = 0 + args[0]
... | chrismarti343/coin-recognition | taskbar.py | taskbar.py | py | 686 | python | en | code | 0 | github-code | 13 |
40322204265 | import numpy as np
from utils.OfflineDataLoader import OfflineDataLoader
from base.BaseRecommender import RecommenderSystem
from base.BaseRecommender_SM import RecommenderSystem_SM
from base.RecommenderUtils import check_matrix, to_okapi, to_tfidf
try:
from base.Cython.Similarity import Similarity
except ImportEr... | yigitozgumus/PolimiRecSys2018 | models/KNN/Item_KNN_CFRecommender.py | Item_KNN_CFRecommender.py | py | 4,404 | python | en | code | 0 | github-code | 13 |
41524497173 | Data = [
"Moris",
"Male",
"Japan",
"30-06-1998",
"moriskha@gmail.com",
"017896524",
]
Data2 = [
"Rojina",
"Female",
"Japan",
"30-06-1998",
"moriskha@gmail.com",
"017896524",
]
Gender = Data[1]
if Gender == "Male":
name ... | raqib4you/Learn-Paython | class5/first.py | first.py | py | 615 | python | en | code | 1 | github-code | 13 |
15303394086 | from copy import deepcopy
from typing import List
from sortedcontainers import SortedList
class Solution:
def minAbsoluteDifference(self, nums: List[int], x: int) -> int:
if x == 0:
return 0
arr, best_dist = SortedList([]), float("inf")
for i in range(x, len(nums)):
... | JosephLYH/leetcode | leetcode/2817.py | 2817.py | py | 1,124 | python | en | code | 0 | github-code | 13 |
17040776314 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayFincoreComplianceCaasMerchantlevelConsultModel(object):
def __init__(self):
self._amount = None
self._app_name = None
self._app_token = None
self._biz_type =... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/AlipayFincoreComplianceCaasMerchantlevelConsultModel.py | AlipayFincoreComplianceCaasMerchantlevelConsultModel.py | py | 5,317 | python | en | code | 241 | github-code | 13 |
4845201132 | from flask import Blueprint, jsonify, session, request
from flask_login import login_required
from app.models import Tag, db
import json
tag_routes = Blueprint('tags', __name__)
@tag_routes.route('/', methods=['POST'])
@login_required
def createTag(userid):
req_data = json.loads(request.data)
tag_name = req_... | mjshuff23/evernote-clone | app/api/tag_routes.py | tag_routes.py | py | 899 | python | en | code | 16 | github-code | 13 |
13573393212 | import socket
import random
client = socket.socket(socket.AF_INET , socket.SOCK_STREAM)
client.connect((socket.gethostname() , 8080))
l,h,n = [int(i) for i in client.recv(1024).decode('utf-8').split('\n')]
print("You are worker number : " + str(n))
print(f"received limits : {l} {h}")
while True:
msg = client.re... | sirabas369/Socket-programming-and-Multi-threading | client.py | client.py | py | 591 | python | en | code | 0 | github-code | 13 |
74518162256 | import argparse
import csv
import simplejson
class DataTransformer(object):
def transform(self, input_file, output_file):
year_header_map = {}
output_dict = []
with open(input_file, 'rb') as in_csv_file:
csv_reader = csv.reader(in_csv_file, delimiter=',')
for row in ... | cbgaindia/parsers | municipal_budget/csv_to_json.py | csv_to_json.py | py | 2,504 | python | en | code | 14 | github-code | 13 |
26020816672 | from bs4 import BeautifulSoup as bsoup
import requests as rq
import csv
url = "http://espn.go.com/mens-college-basketball/standings"
r = rq.get(url)
soup = bsoup(r.content)
trs = soup.find_all("table", class_=True)
with open("records.csv", "wb") as ofile:
f = csv.writer(ofile)
f.writerow(["Team","Record"])
fo... | adhan06/cbb-winless | Losers.py | Losers.py | py | 801 | python | en | code | 0 | github-code | 13 |
22074723955 | #!/usr/bin/env python3
"""
"""
from npoapi import Subtitles
import os
import json
def subtitles():
client = Subtitles().command_line_client(description="Set subtitles")
client.add_argument('mid|text', type=str, nargs=1, help='The mid for wich subtitles to get. Or form description')
client.add_argument('-... | npo-poms/pyapi | src/npoapi/bin/npo_subtitles.py | npo_subtitles.py | py | 1,217 | python | en | code | 0 | github-code | 13 |
73446225298 | # -*- coding: utf-8 -*-
__author__ = 'Ivan Cherednikov'
__email__ = 'ivch@nmbu.no'
class LCGRand:
def __init__(self, seed):
self.a = 16807
self.m = (2 ** 31) - 1
self.r = seed
def rand(self):
self.r = self.a*self.r % self.m
return self.r
class ListRand:
def __in... | inoplanetka/INF200-2019-Exersices | src/ivan_cherednikov_ex/ex04/myrand.py | myrand.py | py | 921 | python | en | code | 0 | github-code | 13 |
24769767509 | from pygame.key import get_pressed
from pug.component import *
from pig import Scene
from pig.keyboard import keys
from pig.editor.agui import KeyDropdown
class Joystick_Button_To_Key( Component):
"""Convert joystick button presses to simulate keyboard key presses. This
component requires the Joystick_... | sunsp1der/pug | pig/components/scene/Joystick_Button_To_Key.py | Joystick_Button_To_Key.py | py | 3,840 | python | en | code | 0 | github-code | 13 |
13238507045 | """
Class for FileToList
"""
class FileToList(object):
"""
FileToList is a helper class used to import text files and turn them into
lists, with each index in the list representing a single line from the
text file.
"""
@staticmethod
def to_list(file_path):
"""
Static method... | samjabrahams/anchorhub | anchorhub/lib/filetolist.py | filetolist.py | py | 759 | python | en | code | 6 | github-code | 13 |
70696505939 | # Harry Potter has got the “n” number of apples. Harry has some students among whom he wants to distribute the apples. These “n” number of apples is provided to harry by his friends, and he can request for few more or a few less apples.
#
# You need to print whether a number is in range mn to mx, is a divisor of “n” or... | anant-harryfan/Python_basic_to_advance | PythonTuts/Python_Practise/Practise2.py | Practise2.py | py | 1,154 | python | en | code | 0 | github-code | 13 |
23240758168 | import torch
import math
from collections import deque
class Optim(torch.optim.Optimizer):
def __init__(self, params, lr=1e-3, betas=(0.9, 0.992, 0.9), eps=1e-7, k=4, alpha=0.5):
defaults = dict(lr=lr,
betas=betas,
eps=eps,
buffer=[[None, None, None, None] for _ in range(10)],
k=k,
a... | reeshogue/Cozminimum | optim_v2.py | optim_v2.py | py | 4,300 | python | en | code | 0 | github-code | 13 |
43165814129 | import pytest
import requests
from connector import ConnectionService
import threading
import time
PORT = 5000
def getNodeList():
return [_service._ip,"192.168.1.21","192.168.1.17","192.168.1.22"]
_service = ConnectionService()
print(_service._ip,flush=True)
print(_service._name,flush=True)
_nodes = getNodeL... | oludom/DPSproject3 | unit_test.py | unit_test.py | py | 3,565 | python | en | code | 0 | github-code | 13 |
29274420185 | from skimage.io import imread
from skimage.filters import threshold_otsu
import matplotlib.pyplot as plt
filename='video12.mp4'
import cv2
cap = cv2.VideoCapture(filename)
# cap = cv2.VideoCapture(0)
count = 0
while cap.isOpened():
ret,frame = cap.read()
if ret == True:
cv2.imshow('window-name',frame)... | rockysw/attendence1 | videocap.py | videocap.py | py | 515 | python | en | code | 0 | github-code | 13 |
268182460 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
data_train = pd.read_csv('../Datasets/titanic/train.csv')
data_test = pd.read_csv('../Datasets/titanic/test.csv')
# 利用pd返回数据的信息
# print(tra... | JoyGin/DeepLearning_inHand | Kaggle/Titanic.py | Titanic.py | py | 4,279 | python | en | code | 1 | github-code | 13 |
21264361366 | #
# @lc app=leetcode id=74 lang=python3
#
# [74] Search a 2D Matrix
#
# @lc code=start
from typing import List
class Solution:
def searchMatrix(self, matrix: List[List[int]], target: int) -> bool:
rows, cols = len(matrix), len(matrix[0])
# tansform the 2D coordinator to 1D
lt, rt = 0, ... | sundaycat/Leetcode-Practice | solution/74. search-a-2-d-matrix.py | 74. search-a-2-d-matrix.py | py | 1,069 | python | en | code | 0 | github-code | 13 |
74045578258 | '''
Psycopg2 – Insert dictionary as JSON
'''
# __________________________ PREP _____________________________
import psycopg2
from psycopg2.extras import Json
import pandas as pd
import json
import ast
import pprint
''' lcoal import '''
from Config import payload
print(payload)
def parse_config():
... | Borgerod/Telegram_surveillance | postgres_controll_panel.py | postgres_controll_panel.py | py | 10,813 | python | en | code | 0 | github-code | 13 |
24263221686 | from waflib import Configure, Errors, Utils
# TODO: make generic
CHECK_SYMBOL_EXISTS_FRAGMENT = '''
#include "build.h"
int main(int argc, char** argv)
{
(void)argv;
#ifndef %s
return ((int*)(&%s))[argc];
#else
(void)argc;
return 0;
#endif
}
'''
# generated(see comments in public/build.h)
# cat build.h | grep... | FWGS/hlsdk-portable | scripts/waifulib/library_naming.py | library_naming.py | py | 4,144 | python | en | code | 222 | github-code | 13 |
39659982749 | import random
class BankAccount:
"""
A class to respresent a bank account.
Attributes
----------
full_name : str
the first and last name of the bank account owner
account_number : int
randomly generated 8 digit number, unique per account
routing_number : int
9 digit... | matthewwei35/CS-1.1_MW_Bank_Account | bank_account.py | bank_account.py | py | 4,585 | python | en | code | 1 | github-code | 13 |
6534991885 | from tkinter import *
from PIL import ImageTk, Image
import mysql.connector
import testthirdgame
root = Tk()
root.geometry("1366x768")
root.configure(bg="#324AEE")
root.resizable(0,0)
frame=Frame(root,bg="#324AEE",height=768,width=1366)
frame.place(x=0,y=0)
img2 = Image.open("polygon1.png")
img2 = img2.res... | anazr9/kbc | gamerules.py | gamerules.py | py | 2,258 | python | en | code | 0 | github-code | 13 |
15185501956 | from flask import Flask, render_template, jsonify
from flask_socketio import SocketIO
app = Flask(__name__)
app.config['SECRET_KEY']='secret!'
socketapp = SocketIO(app)
@app.route("/")
def index():
return render_template("index.html")
@socketapp.on('message')
def handle_message(message):
print('received mess... | kirkdotcam/flasksocketexample | app.py | app.py | py | 452 | python | en | code | 0 | github-code | 13 |
38243444996 | # coding=utf-8
import re
import requests
__all__ = ('check_ver',)
session = requests.Session()
session.trust_env = False
url = 'https://raw.githubusercontent.com/animalize/ting_py/master/launcher.py'
def check_ver(current, full=True):
try:
r = session.get(url)
except:
return '无法获取GitHub上的页... | animalize/ting_py | pc/checkver.py | checkver.py | py | 1,269 | python | en | code | 0 | github-code | 13 |
33517935338 | from collections import OrderedDict
from typing import List, Dict
def classify_conversions(arrays: Dict[int, Dict[str, float]], conversion_classifications: List[dict], conversion_levels):
"""classify conversion by code and type using binned classes
Args:
arrays (dict): reach dictionaries with convers... | Riverscapes/riverscapes-tools | packages/rvd/rvd/lib/classify_conversions.py | classify_conversions.py | py | 3,031 | python | en | code | 10 | github-code | 13 |
42076318398 | import torch
import torch.nn as nn
import torch.nn.functional as F
import matplotlib.pyplot as plt
class CNN(nn.Module):
def __init__(self, args, num_layers, input_shape, channel_size, output_size1=100, output_size2=1000, bn_momentum=1e-3, dropout=0.):
super(CNN, self).__init__()
self.layers = num_... | sangminwoo/Cost-Out-Multitask-Learning | lib/models/multi_task/cnn_multitask.py | cnn_multitask.py | py | 5,499 | python | en | code | 1 | github-code | 13 |
7023662768 | # -*- coding: utf-8 -*-
import numpy as np
import time
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
from sklearn.metrics import r2_score
from scipy import stats
from sklearn.datasets import fetch_california_housing
from sklearn import neighbors
s... | chaido-porlou/NeuralNetworks | RBF/knn_regression.py | knn_regression.py | py | 1,253 | python | en | code | 0 | github-code | 13 |
34363539638 | import logging
from godzillops import Chat
def main(config):
gz_chat = Chat(config)
try:
_input = ""
while True:
_input = input("> ")
responses = gz_chat.respond(_input)
try:
for response in responses:
if isinstance(respo... | deybhayden/tokyo | platforms/text.py | text.py | py | 671 | python | en | code | 0 | github-code | 13 |
19988300684 | from django.conf.urls import url
from StoriesApp import views
urlpatterns = [
url(r'^stories/$', views.AllStoriesView.as_view()),
url(r'^stories/(?P<storie_uuid>[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12})/$',
views.ConcreteStorieView.as_view()),
url(r'^api/new_stor... | Linonse/RSOI-lab2-workers | Stories/StoriesApp/urls.py | urls.py | py | 449 | python | en | code | 0 | github-code | 13 |
13142188905 | import os
import csv
import cv2
import numpy as np
import random
import math
from keras.models import Sequential
from keras.layers import Flatten, Dense, Lambda, Conv2D, Dropout, Cropping2D
import sklearn
from sklearn.utils import shuffle
from keras.callbacks import ModelCheckpoint
from keras.optimizers import Adam
fr... | ajdhole/Udacity-Behavioral-Cloning-P3 | model.py | model.py | py | 4,708 | python | en | code | 0 | github-code | 13 |
71340824658 | import requests
from bs4 import BeautifulSoup
src_url = 'https://vjudge.net/'
def fetch(url):
headers = {'User-Agent':'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36'}
resp = requests.get(url, headers=headers)
return resp
def parse(resp):
... | civp/spider-zoo | sites.py | sites.py | py | 1,129 | python | en | code | 1 | github-code | 13 |
34177523344 | import cv2
import numpy as np
from torch.nn import functional as F
class VideoRecorder(object):
def __init__(self, num_img, output_filename="output.avi"):
self.frames = {}
self.img_frames = {}
self.num_steps = (
100 # TODO: Don't finish on hardcode value, trigger end from outs... | LuisLechugaRuiz/general_manipulation | general_manipulation/utils/video_recorder.py | video_recorder.py | py | 4,448 | python | en | code | 0 | github-code | 13 |
73644966416 | import glob, os
# https://gis.stackexchange.com/questions/227271/where-are-the-temporary-output-layers-from-qgis-processing-algorithms-stored
# https://gis.stackexchange.com/questions/169090/how-to-open-and-save-qgis-datasource-with-to-lower-case-fields
# Define path to directory of your csv files
# path_to_csv = "T... | jerbou/Python_Qgis_stuff | multi_csv.py | multi_csv.py | py | 1,233 | python | en | code | 0 | github-code | 13 |
12619882362 | from .. import db
from . import BaseModel
from sqlalchemy import Column, Date, ForeignKey, Integer, JSON, String, Float, Boolean, BigInteger
from sqlalchemy.orm import relationship, backref
class BlockchainNetwork(BaseModel):
__tablename__ = 'blockchain_network'
name = Column(String(1000), nullable=False, un... | ljrahn/digi-markets | services/server/src/models/web3.py | web3.py | py | 1,283 | python | en | code | 0 | github-code | 13 |
71913541779 | # description : makes text file of random people (first name, last name, job position, favorite color)
# author : Cédric-Antoine Ouellet
# github : www.github.com/cedricouellet
# website : cedricao.tk
import random
import os
from time import sleep
# putting OOP into practice
class Person():
'''A temp... | cedricouellet/py-random-person-generator | main.py | main.py | py | 3,017 | python | en | code | 0 | github-code | 13 |
40852798881 | import glob
import cv2
import shutil, os
import numpy as np
from matplotlib import pyplot as plt
from random import randint
def blending(pathRgb, pathSmoke):
src = cv2.imread(pathRgb)
smoke = cv2.imread(pathSmoke, cv2.IMREAD_UNCHANGED)
height, width, depth = src.shape
# print(smoke.shape)
smoke ... | thangylvp/pytorch | genSmoke/loadSmoke.py | loadSmoke.py | py | 2,449 | python | en | code | 1 | github-code | 13 |
73758952979 | # Run this file in valgrind with:
# PYTHONMALLOC=malloc valgrind --tool=memcheck --leak-check=yes --show-leak-kinds=definite --track-origins=yes --num-callers=12 --suppressions=valgrind-python.supp python3 test_memleak_granulator.py
# There should not be any definitely lost bytes.
from pyo import *
import random
s... | belangeo/pyo | tests/valgrind/test_memleak_granulator.py | test_memleak_granulator.py | py | 1,387 | python | en | code | 1,221 | github-code | 13 |
7704566220 | from swarmops.Optimize import SingleRun
from swarmops import tools
########################################################################
class LUS(SingleRun):
"""
Perform a single optimization run using Local Unimodal Sampling (LUS).
In practice, you would typically perform multiple optimizat... | Hvass-Labs/swarmops | swarmops/LUS.py | LUS.py | py | 5,244 | python | en | code | 70 | github-code | 13 |
9087543830 | #https://www.acmicpc.net/problem/20438
#백준 20438번 출석체크(그리디, 누적합)
#import sys
#input = sys.stdin.readline
n, k, q, m = map(int, input().split())
students = [0]*(n+3)
sleep = set(map(int, input().split()))
attend = list(map(int, input().split()))
attendPossible = set()
for code in attend:
if code in sleep:
... | MinsangKong/DailyProblem | 06-29/2-2.py | 2-2.py | py | 796 | python | en | code | 0 | github-code | 13 |
6589445746 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
' Simple ORM using metaclass '
# 基类
class Field(object):
def __init__(self, name, column_type):
self.name = name
self.column_type = column_type
def __str__(self):
return '<%s:%s>' % (self.__class__.__name__, self.name)
# 字符串型字段
class S... | lazzman/PythonLearn | Python3_Learn/7. 面向对象编程高级/元类案例orm.py | 元类案例orm.py | py | 2,700 | python | en | code | 4 | github-code | 13 |
42344393037 | import codecs
from pydoc import describe
import time, array
import numpy as np
import os, sys
import imageio
import cv2
from tqdm import tqdm_notebook as tqdm
from PIL import Image
import keras
from keras.layers import Input, Conv2D, MaxPooling2D, Flatten, Dropout, Dense, LSTM, TimeDistributed, RepeatVector, BatchNorma... | nebulayoon/malware-classification | cnn.py | cnn.py | py | 8,771 | python | en | code | 0 | github-code | 13 |
27702378803 | #Title: hourly_model.py
#Author: Tony Chang
#Date: 9/2/2015
#Abstract: Test code to transform daily temperature values into hourly under various algorithms
#Newton's Law of Cooling method
#dP/dt = k(P-A)
#where A is the ambient temperature, P is the phloem temperature, k is the rate of temperature transfer from tree t... | tonychangmsu/Python_Scripts | eco_models/mpb/hourly_model_09022015.py | hourly_model_09022015.py | py | 7,125 | python | en | code | 0 | github-code | 13 |
28351395019 | import torch
import torch.nn as nn
import transformers
"""
This script shows how to combine two transformer models to create a hybrid model.
This is just an experimentation and not a part of the project.
"""
bart_model_name = 'facebook/bart-base'
t5_model_name = 't5-base'
bart_model = transformers.AutoModelF... | nazhimkalam/gensum | Code/datascience/core/hybrid-combination.py | hybrid-combination.py | py | 2,127 | python | en | code | 2 | github-code | 13 |
42929142444 | '''
Write a program to sort a stack such that the smallest items are on the top.
You can use an additional temporary stack, but you may not copy
the elements into any other data structure (such as an array).
The stack supports the following operations: push, pop, peek, and isEmpty.
'''
class Stack:
def __init__(self... | lmhbali16/algorithms | CTCI/chapter_3/sort_stack.py | sort_stack.py | py | 1,549 | python | en | code | 0 | github-code | 13 |
72228452498 | # -*- coding: utf-8 -*-
"""
Created on Tue Nov 17 07:14:09 2020
@author: lcam
"""
'''
formato do Arquivo de saída:
Nome do grupo membros do grupo
[INF1025, [Kaka,Ceci,Teco]], --> INF1025 Kaka Ceci Teco
[FIS1020, [Keko]],
[FIS1212, [Tata]]
[CAL1010,[kiko]]
'''
def salvaTabGruposNoArq(tabGrupos):
arqS=ope... | luca16s/INF1025 | Arquivo/agrupamentosa.py | agrupamentosa.py | py | 1,150 | python | pt | code | 0 | github-code | 13 |
24654331541 | __author__ = 'Michael Kaldawi'
"""
Programmer: Michael Kaldawi
Class: CE 4348.501
Assignment: P01 (Program 1)
Program Description:
This program implements a prime number finder utilizing the sieve
of Eratosthenes and multi-threading.
"""
# Note: we are using numpy for our array processing to speed up
# runtime. nump... | michael-kaldawi/Prime-Number-Multiprocessing | Multithreading.py | Multithreading.py | py | 3,895 | python | en | code | 1 | github-code | 13 |
43357939306 | #!/usr/bin/python3
import sys
if __name__ == "__main__":
if len(sys.argv) != 2:
print("#usage python", sys.argv[0],"<fastq>")
sys.exit()
InFASTQ = sys.argv[1]
lLane = []
iCnt = 0
iCntA, iCntC, iCntG, iCntT = 0,0,0,0
with open(InFASTQ) as fr:
for line in fr:
iCnt += 1
if iCnt % 4 == 2:
sSeq = lin... | KennethJHan/Bioinformatics_Programming_101 | 065.py | 065.py | py | 522 | python | en | code | 0 | github-code | 13 |
24322275250 | """Choise team repair
Revision ID: 475448e80c95
Revises: cc0b9a8c6bec
Create Date: 2022-02-20 14:49:35.862420
"""
from alembic import op
import sqlalchemy as sa
from app.enums import ChoiceType
from app.choises import equipment, team_composition
# revision identifiers, used by Alembic.
revision = '475448e80c95'
do... | Pavel-Maksimov/shift_logs_flask | migrations/versions/475448e80c95_choise_team_repair.py | 475448e80c95_choise_team_repair.py | py | 1,046 | python | en | code | 0 | github-code | 13 |
40720066211 | # -*- coding: utf-8 -*-
"""
Created on Thu Feb 14 09:41:56 2019
@author: bradw
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import statsmodels.api as sm
from statsmodels.tsa import stattools
from statsmodels.graphics.tsaplots import plot_acf, plot_pacf
#Data Wrangling
#Importing data i... | BradWebb101/PPP-USD-vs-AUD | PPP USD AUD.py | PPP USD AUD.py | py | 5,738 | python | en | code | 0 | github-code | 13 |
36711030095 | import os
import argparse
import hashlib
import base64
import pathlib
def main(args):
for f in pathlib.Path(args.i).glob('**/*'):
f = str(f)
if os.path.isdir(f):
continue
filename = f.replace(args.i, '')
with open(f, 'rb') as df:
data = df.read()
hash = base64.urlsafe_b64encode(hashlib.sha256(data).... | cyberj0g/OpenCV-Custom | record_generator.py | record_generator.py | py | 657 | python | en | code | 0 | github-code | 13 |
32859345328 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from string import whitespace
import re
from .. import Unit
from ...lib.argformats import multibin
class trim(Unit):
"""
Removes byte sequences at beginning and end of input data.
"""
def interface(self, argp):
argp.add_argument('junk', type=mul... | chubbymaggie/refinery | refinery/units/strings/trim.py | trim.py | py | 1,867 | python | en | code | null | github-code | 13 |
14688656261 | import os
import numpy as np
from features.gradient_features import choose_features
#path_directory = '/content/drive/MyDrive/Dataset_Educazone_Test/'
path_directory = 'E:/Job_Internships/Educazone/Dataset_Educazone_Test/'#input("Enter the directory of data: \n")
filename = path_directory#input("Enter the path w... | SohamChattopadhyayEE/gradientfeatures-with-PCA_GMM | Codes/feature_extraction.py | feature_extraction.py | py | 889 | python | en | code | 0 | github-code | 13 |
26422748410 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 9 16:24:43 2018
@author: Olivia Hull
Calculate the percent composition of a molecular orbital
in Gaussian, specify pop=full keyword
This package is written restrictively for Ag6-N2. Any deviation from my standard Ag6-N2 coordinate input
will need... | oahull/NP-Code | MO_coefs.py | MO_coefs.py | py | 9,325 | python | en | code | 0 | github-code | 13 |
214312525 | # exercise 1:copy method
list_ = [1,1.5,'python',0b101,True,[20+10j,"india",range(10)]]
newlist_ = list_.copy()
print(list_)
print(newlist_)
# if we make any changes the parent copy it also changing in child copy why?
# what is deep copy and shallow copy?
list_[5].append("john")
print(list_)
print(newlist_)
#exercise ... | nareshchari/tasks | listexercises.py | listexercises.py | py | 2,821 | python | en | code | 0 | github-code | 13 |
34692063956 | import itertools
import scipy
import pandas as pd
from statsmodels.stats.weightstats import *
from math import sqrt
from scipy import stats
from sklearn import model_selection, metrics, linear_model, ensemble
def my_proportions_confint_diff_rel(sample1, sample2, alpha = 0.05):
z = stats.norm.ppf(1 - alpha/2.)
... | RBVV23/Coursera | Построение выводов по данным/Week_2/sandbox_2.py | sandbox_2.py | py | 11,880 | python | en | code | 0 | github-code | 13 |
21091318947 | # coding=utf-8
from dataviz import Dataviz
from altair import Chart, load_dataset, X, Y
df = load_dataset('seattle-weather')
dataviz = Dataviz("Seattle Weather")
overview_chart = Chart(df).mark_bar(stacked='normalize').encode(
X('date:T', timeUnit='month'),
Y('count(*):Q'),
color='weather',
)
dataviz.ad... | matteo-ronchetti/dataviz | test.py | test.py | py | 1,128 | python | en | code | 0 | github-code | 13 |
26945689783 | # -*- coding: utf-8 -*-
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from rq import Worker, Queue, Connection
import os
import redis
REDIS_URL = os.getenv('REDIS_URL', 'redis://localhost:6379')
listen = ['high', 'default', 'low']
conn = r... | bemau/BotyPy | worker.py | worker.py | py | 466 | python | en | code | 0 | github-code | 13 |
17049166424 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class BeikeAccountResponse(object):
def __init__(self):
self._change_amount = None
self._current_amount = None
self._outer_biz_no = None
@property
def change_amount(sel... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/BeikeAccountResponse.py | BeikeAccountResponse.py | py | 2,030 | python | en | code | 241 | github-code | 13 |
15819949312 | import sys
from PyQt6.QtCore import Qt
from PyQt6.QtWidgets import QApplication, QWidget, QVBoxLayout, QLabel, QPushButton, QFileDialog, QMessageBox, QListWidget, QListWidgetItem, QAbstractItemView
from init import get_years, get_unique_values, filter_training_dataframe, create_test_dataframe, create_model, fit_model, ... | EarlyInterventions/earlyinterventions | src/ImportData.py | ImportData.py | py | 5,633 | python | en | code | 0 | github-code | 13 |
34799712372 | # coding: utf-8
# @author: hongxin
# @date: 18-6-2
"""
参考文档： https://www.showdoc.cc/page/102098
"""
from requests import post
def check_article_suffix(article_path):
"""
检查文件格式是否为md
:param article_path:
:return:
"""
if article_path.split('.')[1] == 'md':
return True
else:
... | xiehongxin/ShowdocUpload | upload_markdown_module.py | upload_markdown_module.py | py | 3,132 | python | en | code | 1 | github-code | 13 |
41290424135 | from random import randint
def maior(* num):
print(num)
lista = []
ind = 0
for lis in range(0, randint(3, 10)):
lis = randint(1, 50)
print(lis)
lista.append(lis)
ind += 1
print(lista)
lista.sort()
quant = len(lista)
print(f'sua lista de numeros contém {quant} valores')
print(f'Os valores são: {l... | FernandoBoshy/Estudos-python | curso em video/ex099.py | ex099.py | py | 361 | python | pt | code | 0 | github-code | 13 |
24964222420 | import json
from rest_framework.decorators import api_view
from rest_framework import status
from rest_framework.response import Response
from .handleDB import *
from .serializers import *
@api_view(['POST'])
def register(request):
"""
{
"name": "Demo User8",
"email": "demouser8@gmail.com",
... | Rohitbhojwani/o1analysis | apti_backend/apti_backend/views.py | views.py | py | 26,887 | python | en | code | null | github-code | 13 |
70054678739 | # pylint: skip-file
def main():
'''
ansible oc module for registry
'''
module = AnsibleModule(
argument_spec=dict(
state=dict(default='present', type='str',
choices=['present', 'absent']),
debug=dict(default=False, type='bool'),
namesp... | openshift/openshift-tools | ansible/roles/lib_openshift_3.2/build/ansible/oadm_registry.py | oadm_registry.py | py | 5,123 | python | en | code | 161 | github-code | 13 |
7471754900 | import math
import torch
import torch.optim as optim
from .utils.kfac_utils import (ComputeCovA, ComputeCovG)
from utils.timing import Timer
from .utils.factors import ComputeI, ComputeG
from .utils.hylo_utils import EmptyBackend
def randomized_svd(B, rank):
if rank < 1:
rank = int(rank * min(B.size()))... | Mohammad-Mozaffari/mkor | bert/optimizers/hkor.py | hkor.py | py | 23,368 | python | en | code | 1 | github-code | 13 |
17041567174 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.AlipayInsDataDsbRequestImageInfo import AlipayInsDataDsbRequestImageInfo
class AlipayInsDataDsbEstimateApplyModel(object):
def __init__(self):
self._accident_area_id ... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/AlipayInsDataDsbEstimateApplyModel.py | AlipayInsDataDsbEstimateApplyModel.py | py | 11,087 | python | en | code | 241 | github-code | 13 |
14541951925 | import time
import sklearn
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
from keras.utils import np_utils
from keras.models import Sequential
from keras.layers import Dense, Activation, Conv1D, MaxPooling1D, Flatten
from keras.layers import Dro... | YT1202/DSP2020_Final-Project | Train.py | Train.py | py | 9,809 | python | en | code | 0 | github-code | 13 |
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