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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|---|---|---|---|---|---|---|---|---|---|---|---|---|
19350701790 | import logging
import json
from scraper.components import *
#https://coralogix.com/log-analytics-blog/python-logging-best-practices-tips/#id.1ksv4uv
#https://gist.github.com/nguyenkims/e92df0f8bd49973f0c94bddf36ed7fd0
#https://towardsdatascience.com/get-your-own-data-building-a-scalable-web-scraper-with-aws-654feb9fd... | bilalansari-fr/aws_codepipeline | scraper/__init__.py | __init__.py | py | 1,517 | python | en | code | 0 | github-code | 50 |
4593109013 | from __future__ import division, print_function, absolute_import
import math
import hypothesis.internal.conjecture.utils as d
import hypothesis.internal.conjecture.floats as flt
from hypothesis.control import assume
from hypothesis.internal.compat import int_from_bytes
from hypothesis.internal.floats import sign
from... | pareksha/Friend-recommendation-system | pyta/hypothesis/searchstrategy/numbers.py | numbers.py | py | 5,357 | python | en | code | 14 | github-code | 50 |
4641407882 |
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
from sklearn.metrics import confusion_matrix
class ClassificationBinary(object):
def __init__(self, X, Y):
self.X = X
... | mibrahimniz/eeg-python | classification/ClassificationSklearn.py | ClassificationSklearn.py | py | 1,729 | python | en | code | 0 | github-code | 50 |
21917817328 | from weakref import WeakKeyDictionary
class NonNegativeInteger(object):
def __init__(self):
self.data = WeakKeyDictionary()
def __get__(self, instance, owner):
if instance is None:
return self
return self.data[instance]
def __set__(self, instance, value):
if n... | mattjegan/describing-descriptors | slide39_errormessages.py | slide39_errormessages.py | py | 791 | python | en | code | 5 | github-code | 50 |
15055409438 | import random
moves = ['rock', 'paper', 'scissors']
class Player:
def __init__(self):
self.my_move = None
self.their_move = None
def move(self):
return 'rock'
def learn(self, my_move, their_move):
self.my_move = my_move
self.their_move = their_move
def beats(on... | mohamedszaina/Udacity-RPS-Game-Project | rps.py | rps.py | py | 3,420 | python | en | code | 0 | github-code | 50 |
2484807979 | from anime_module import M3U8, Myself, MyselfAnime, MyselfAnimeTable
from configs import MYSELF_URL
from swap import VIDEO_QUEUE
from asyncio import gather, create_task
from pydantic import BaseModel, Field
from typing import Literal
class CacheData(BaseModel):
from_cache: bool = Field(True, alias="from-cache")
... | AloneAlongLife/MyselfAnimeDownloader_WebUI | api/api.py | api.py | py | 5,338 | python | en | code | 4 | github-code | 50 |
35548426584 | from coinmarketcap import Market
from tkinter import *
from tkinter import font as tkfont
import pandas as pd
from tkinter import ttk
from PIL import Image, ImageTk
test = []
#############################################FRONTEND#############################################################################... | Cryptovisor/CryptoVisor | CryptoVisor-main.py | CryptoVisor-main.py | py | 6,924 | python | en | code | 2 | github-code | 50 |
21452619484 | # -*- coding: utf-8 -*-
import datetime
import json
import logging
import os.path
import Var
from Broker import Rest
logger = logging.getLogger()
class indicateur(object):
""" docstring for indicateur:
temps = datetime
Midpoint= Milieu Bid/ask
"""
... | boulton/IGTradingAlgo | Algorithme/Indicateur.py | Indicateur.py | py | 9,911 | python | en | code | 4 | github-code | 50 |
36694404235 | #!/usr/bin/env python3
import getpass ## required if prompting for XIQ crednetials
import json
import requests
from colored import fg, bg, attr
############################################################################################################
## written by: Mike Rieben
## e-mail: mrieben@extremenetw... | MibenSmmod/Multicast-Detector | XIQ-MulticastDetector.py | XIQ-MulticastDetector.py | py | 13,717 | python | en | code | 0 | github-code | 50 |
25417265230 | """Data models"""
import flask_wtf
import wtforms
UPLOAD_FOLDER = r'uploads/'
ALLOWED_EXTENSIONS = {'py'}
class Code():
"""Code object to store code"""
def __init__(self, code) -> None:
self.code = code
class FormFile(flask_wtf.FlaskForm):
"""Form"""
file = wtforms.FileField('Python file t... | Benzy-Louis/pyflowchart-gui | pyflowchart_web/app/models.py | models.py | py | 1,134 | python | en | code | 0 | github-code | 50 |
35787425005 | from linguist.models import Word, GlobalWord, Language, Category
from random import randint, choice
from linguist.utils import LinguistTranslator
class LinguistHQ:
def __init__(self, student=None):
self.student = student
self.langs = Language.objects.all()
self.global_words = GlobalWord.ob... | stPhoenix/project_osirius | linguist/core.py | core.py | py | 6,139 | python | en | code | 0 | github-code | 50 |
73508785434 | #
# (c) 2023 RENware Software Systems
# cosana system
#
# ============================================
# ADS General Data
#
import json, os, sys
from flask import jsonify
import sqlalchemy as sa
from sqlalchemy.orm import declarative_base, relationship, backref
from libutil.utils import genpk, getusr
import pendulum... | petre-renware/cosana | data_models/ads_general_data_data_models.py | ads_general_data_data_models.py | py | 3,126 | python | en | code | 1 | github-code | 50 |
22427357015 | from socket import *
s = socket ()
mensagem = "https://github.com/mjoaojr/Sistemas-Distribuidos.git"
IP="10.10.13.1"
PORTA=8753
CONVERTER = str.encode(mensagem, "UTF-8")
s.connect((IP,PORTA))
while True:
s.send(CONVERTER)
while True:
x = s.recv (4096)
if not x:
break
print(x.decode("UTF-8"))
respos... | M4theusz/Projetos_Faculdade | Python_Sistemas_Distribuidos/con2.py | con2.py | py | 401 | python | en | code | 0 | github-code | 50 |
2745813376 |
from itertools import product
import networkx as nx
default_nodes = ['Stephen', 'Sinnie', 'Elaine']
default_edges = [('Stephen', 'Sinnie', 0.2),
('Sinnie', 'Stephen', 0.2),
('Sinnie', 'Elaine', 0.3),
('Elaine', 'Sinnie', 0.2),
('Stephen', 'Elaine',... | stephenhky/GraphFlow | graphflow/simvoltage/SocialNetworkSimVoltage.py | SocialNetworkSimVoltage.py | py | 7,928 | python | en | code | 8 | github-code | 50 |
15134237198 | import re
from pprint import pprint
import nltk
import spacy
from detoxify import Detoxify
from nltk.sentiment import SentimentIntensityAnalyzer
from nltk.corpus import stopwords
from langdetect import detect
#nltk.download([
# "names",
# "stopwords",
# "state_union",
# "twitter_samples",
# "movie... | Eggoser/SuperFlexMessengerAssistant | backend/app/neural_english.py | neural_english.py | py | 2,979 | python | en | code | 2 | github-code | 50 |
22452949747 | import sys, os
import math
from lxml import etree
import numpy as np
from sklearn.pipeline import Pipeline, FeatureUnion
try: #to ease the use without proper Python installation
import TranskribusDU_version
except ImportError:
sys.path.append( os.path.dirname(os.path.dirname( os.path.abspath(sys.argv[0]) )) )... | Transkribus/TranskribusDU | TranskribusDU/tasks/TablePrototypes/DU_ABPTableRG2.py | DU_ABPTableRG2.py | py | 8,726 | python | en | code | 21 | github-code | 50 |
1713453289 | import array as arr
def predictCoord(point0, point1, timeDiff):
xVel = (point1[0]-point0[0])/timeDiff
yVel = (point1[1]-point0[1])/timeDiff
a = -9.81
time1 = (-yVel - (yVel*yVel - 2 * a * point1[1]) ** 0.5)/a
time2 = (-yVel + (yVel*yVel - 2 * a * point1[1]) ** 0.5)/a
time = time1.real
... | Yangmchuyue/ITrash | TargetTrajectoryTracker.py | TargetTrajectoryTracker.py | py | 500 | python | en | code | 1 | github-code | 50 |
71826171356 | from pymongo import MongoClient
import json
import jsonpickle
import time
def loadFromDB():
stocks = []
client = MongoClient('localhost', 27017)
db = client["test"]
coll = db['stocks']
results = coll.find({}, {'_id': 0})
strValues = []
for r in results:
... | fengwu2004/stock | serialization.py | serialization.py | py | 503 | python | en | code | 0 | github-code | 50 |
1247897561 | import webapp2
import datetime
from collections import defaultdict
from google.appengine.ext.webapp import blobstore_handlers
from models import Entry, Attachment, ToDo
from templates import (attachmentTemplate, indexTemplate,
entryEditTemplate, backupTemplate)
from mail import EntryReminder, M... | Mononofu/infinite-diary | diary.py | diary.py | py | 6,006 | python | en | code | 4 | github-code | 50 |
71016801114 | from django.core.management.base import BaseCommand, CommandError
import pandas as pd
import re
import requests
import json
from blog.models import latest_transactions,last_blocks
class Command(BaseCommand):
def handle(self, *args, **options):
def get_blocks():
sats_conversion = 100000000
... | spookiestevie/my-django-site | blog/management/commands/get_blocks_cmd.py | get_blocks_cmd.py | py | 2,234 | python | en | code | 0 | github-code | 50 |
3310309804 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from datetime import datetime
from typing import List
from cdp_backend.pipeline.ingestion_models import EventIngestionModel
from cdp_scrapers.legistar_utils import LegistarScraper
###############################################################################
def get_e... | CouncilDataProject/long-beach | python/cdp_long_beach_backend/scraper.py | scraper.py | py | 1,357 | python | en | code | 0 | github-code | 50 |
37510404975 | from Crypto.Cipher import AES
from Crypto.Util.Padding import pad
def random_bytes(range):
with open("/dev/urandom", 'rb') as f:
return f.read(range)
def encrypt_aes_ecb(data, key):
cipher = AES.new(key, AES.MODE_ECB)
ciphertext = cipher.encrypt(data)
return ciphertext
def encrypt_aes_cbc(... | iliayg/cracking-bytes | 6.py | 6.py | py | 2,127 | python | en | code | 0 | github-code | 50 |
10203246578 | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 14 16:15:01 2014
@author: Eric
Houses all plot functions for county_data_analysis
Suffixes at the end of variable names:
a: numpy array
b: boolean
d: dictionary
df: pandas DataFrame
l: list
s: string
t: tuple
Underscores indicate chaining: for instance, "foo_t_t" is a t... | EricMichaelSmith/county_data_analysis | plotting.py | plotting.py | py | 13,967 | python | en | code | 0 | github-code | 50 |
38813537744 | from flask import Flask, app, render_template, request, redirect
# from collections import defaultdict
from uuid import uuid4
from db import VoteDB
from model import db,Votes,Topics
app = Flask(__name__)
# db = VoteDB()
@app.route('/')
def index():
# topics = db.get_topic_name()
topics = list(Topics.select()... | Slth1811/vote-app | app.py | app.py | py | 1,811 | python | en | code | 0 | github-code | 50 |
41907756053 | import re
import textwrap
class Color:
'''A representation of a single color value.
This color can be of the following formats:
- #RRGGBB
- rgb(r, g, b)
- rgba(r, g, b, a)
- $other_color
- rgb($other_color_rgb)
- rgba($other_color_rgb, a)
NB: The color components that refer to ot... | RSATom/Qt | qtwebengine/src/3rdparty/chromium/tools/style_variable_generator/color.py | color.py | py | 3,714 | python | en | code | 50 | github-code | 50 |
26210543538 | import logging
from typing import List
import re
import sys
import tiktoken
import openai
from .base import Engine
from .mixin.openai import OpenAIMixin
from .settings import SYMAI_CONFIG
from ..strategy import InvalidRequestErrorRemedyChatStrategy
from ..utils import encode_frames_file
logging.getLogger("openai").s... | kpister/prompt-linter | data/scraping/repos/ExtensityAI~symbolicai/symai~backend~engine_gptX_chat.py | symai~backend~engine_gptX_chat.py | py | 12,371 | python | en | code | 0 | github-code | 50 |
32489181037 | import asyncio
import traceback
from duckysvc.duckysvc import DuckySvc
async def amain(args):
try:
dsvc = DuckySvc(args.server_ip, args.server_port, lang = args.lang, keyboard_device = args.device)
print('DuckySvc running %s:%s' % (args.server_ip, args.server_port))
await dsvc.run()
except:
traceback.print_e... | skelsec/duckysvc | duckysvc/__main__.py | __main__.py | py | 920 | python | en | code | 4 | github-code | 50 |
31081910231 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.preprocessing import LabelEncoder, StandardScaler
from sklearn.model_selection import train_test_split, KFold, cross_val_score
from sklearn.linear_model import Line... | ARRathod/Medical-Insurance-Cost | Untitled.py | Untitled.py | py | 5,109 | python | en | code | 0 | github-code | 50 |
9881334201 |
class DVD:
def __init__(self, title, year, director) -> None:
self.title = title
self.year = year
self.director = director
def disclose(self):
print(self.title + "," + self.director )
mydvd1 = DVD ("Avengers", 2018, "Hulk")
mydvd2 = DVD ("Avengers", 2018, "Iron Man")
dvdColle... | francman/dailies | python/dvdbox.py | dvdbox.py | py | 388 | python | en | code | 0 | github-code | 50 |
41901975280 | # -*- coding: utf-8 -*-
from five import grok
from z3c.form import group, field
from zope import schema
from zope.interface import invariant, Invalid
from zope.schema.interfaces import IContextSourceBinder
from z3c.relationfield.schema import RelationList, RelationChoice
from plone.formwidget.autocomplete import Au... | crdistefano/sinanet.gelso | sinanet/gelso/scheda_progetto.py | scheda_progetto.py | py | 10,254 | python | it | code | 0 | github-code | 50 |
14435176102 | import csv
import sqlite3
import urllib.request
from datetime import datetime
import numpy as np
import pandas as pd
import checkDB
# Crea la BD donde se guardaran los datos en caso de que aún no exista la BD.
print('Verificando la base de datos...')
con = sqlite3.connect('covid.sqlite')
cur = con.cursor()
cur.execute... | iepenaranda/Capstone-Retrieving-Processing-and-Visualizing-Data-with-Python | leer2.py | leer2.py | py | 2,561 | python | es | code | 1 | github-code | 50 |
1870837114 | import numpy as np
import pandas as pd
from sklearn.preprocessing import LabelEncoder
import json
from sklearn.preprocessing import MinMaxScaler
from sklearn import svm, datasets
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
import os
import re
import string
from te... | shrouk535r/Movie_Popularity_Prediction | preprocessing.py | preprocessing.py | py | 18,715 | python | en | code | 0 | github-code | 50 |
72014085594 | from django.urls import path
from .views import *
urlpatterns=[
path('superregister/',superRegister),
path('superlogin/',superLogin),
path('superprofile/',superProfile),
path('adminregister/',adminRegister),
path('verify/<auth_token>',verify),
path('adminlogin/',adminLogin),
path('a... | AshikR7/zybo | zybo/zyboapp/urls.py | urls.py | py | 896 | python | de | code | 0 | github-code | 50 |
30205180047 | import os
from flask import Flask, render_template, request, url_for, send_file, redirect, flash
from iok import AwesomeClient, KnowledgeGraph, NodeType, ResourceType
from networkx.readwrite import json_graph
import networkx as nx
import matplotlib.pyplot as plt
from flask_github import GitHub
from dotenv import load_d... | indexofknowledge/iok | legacy/main.py | main.py | py | 3,579 | python | en | code | 9 | github-code | 50 |
38021332858 | """
*packageName :
* fileName : 11728.배열 합치기(2)
* author : ipeac
* date : 2022-10-05
* description :
* ===========================================================
* DATE AUTHOR NOTE
* -----------------------------------------------------------
* 2022-10-0... | guqtls14/python-algorism-study | 박상준/solved/투포인터/11728.배열 합치기(2).py | 11728.배열 합치기(2).py | py | 1,068 | python | en | code | 0 | github-code | 50 |
38627596872 | # thanks to www.cs.uml.edu/~cgao
import smbus
import sys
import getopt
import time
import pigpio
servos = [23, 24]
u = 1.2
x = 600
y = 1900
limit_y_bottom = 1900
limit_y_top = 1300
limit_y_level = 1900
limit_x_left = 600
limit_x_right = 2400
pi = pigpio.pi()
def head(y):
while y > limit_y_top:
pi.set_... | chutasano/laser_controller | pi.py | pi.py | py | 1,456 | python | en | code | 0 | github-code | 50 |
20223870527 | from django.urls import path
from cafe.api import views as api_views
urlpatterns = [
path('urunler/',api_views.UrunListCreateAPIView.as_view(),name='urun-listesi'),
path('urunler/<int:pk>',api_views.UrunDetailAPIView.as_view(),name='urun-bilgileri'),
path('siparisler/',api_views.SiparisListCreateAPIView.a... | hasanbakirci/django-heroku-deploy | cafe/api/urls.py | urls.py | py | 454 | python | en | code | 0 | github-code | 50 |
40653836761 | import argparse
import json
import os
import os.path as osp
import numpy as np
from cityscapesscripts.preparation.json2labelImg import json2labelImg
from PIL import Image
def convert_json_to_label(json_file):
label_file = json_file.replace('_polygons.json', '_labelTrainIds.png')
json2labelImg(json_file, labe... | brdav/refign | tools/convert_cityscapes.py | convert_cityscapes.py | py | 3,645 | python | en | code | 66 | github-code | 50 |
42634397603 | import time
import queue
import threading
q = queue.Queue(10)
def productor(i):
while True:
q.put("厨师 {} 做的包子！".format(i))
time.sleep(2)
def consumer(j):
while True:
print("顾客 {} 吃了一个 {}".format(j, q.get()))
time.sleep(1)
for i in range(3):
t = threading.Thread(target=... | AaronYang2333/CSCI_570 | records/07-24/productor_customer.py | productor_customer.py | py | 470 | python | en | code | 107 | github-code | 50 |
39326730641 |
'''
https://www.practicepython.org/exercise/2014/03/12/06-string-lists.html
Exercise 6 (and Solution)
Ask the user for a string and print out whether this string is a palindrome or not. (A palindrome is a string that reads the same forwards and backwards.)
'''
value = str(input("Enter a beautiful string: "))
... | 0xhuesca/PracticePython | 06-string-lists.py | 06-string-lists.py | py | 452 | python | en | code | 0 | github-code | 50 |
10510692099 | #!/usr/bin/env python
#-*- coding: utf-8 -*-
"""TermFeed 0.0.11
Usage:
feed
feed <rss-url>
feed -b
feed -a <rss-url> [<category>]
feed -d <rss-url>
feed -t [<category>]
feed -D <category>
feed -R
feed (-h | --help)
feed --version
Options:
List feeds from the ... | iamaziz/TermFeed | termfeed/feed.py | feed.py | py | 6,913 | python | en | code | 249 | github-code | 50 |
35808692145 | from enum import Enum
Color = Enum("Color", "WHITE GREY BLACK")
class Vertex:
color = Color.WHITE
def __init__(self, n):
self.name = n
def search(vList, vListItem, v:Vertex):
v.color = Color.GREY
for vi in vListItem:
if vi.color == Color.WHITE: return str(v.name)+ " " + search(vList... | stPhoenix/algoritms_lab2 | main.py | main.py | py | 772 | python | en | code | 0 | github-code | 50 |
21161588387 | USE_LATEX = False
import sys
if USE_LATEX:
sys.path.append("../FresnelFDTD/")
import mplLaTeX
import matplotlib as mpl
mpl.rcParams.update(mplLaTeX.params)
from matplotlib import pyplot as plt
import numpy as np
from scipy import stats
import json
def computeKy( data, fdir ):
y = np.array( d... | davidkleiven/OptiX | SlabGuide/analyse.py | analyse.py | py | 2,539 | python | en | code | 1 | github-code | 50 |
74367003354 | # This is just a basic pyspark "smoke" test
import os
from pyspark.sql import SparkSession
# os.environ['SPARK_MASTER_IP'] = "127.0.0.1"
os.environ['SPARK_LOCAL_IP'] = "127.0.0.1"
# os.environ['HADOOP_HOME'] = ''
spark = SparkSession\
.builder\
.getOrCreate()
print("Let's sum the numbers from... | ivangeorgiev/pytest_dbconnect | try_pyspark.py | try_pyspark.py | py | 410 | python | en | code | 2 | github-code | 50 |
39722434942 | # Carter Strate
# CSCI 102 - Section D
# Week 10 Lab
# References: None
# Time: 40 minutes
import csv
l = []
with open('formations.csv','r') as file:
fileReader = csv.reader(file)
for row in fileReader:
l.append(row)
for line in l:
if line == l[0]:
line.insert(1,'Start Depth')
line.i... | cjstrate/IntroToPython | 102/Depth/Week10-depth_range.py | Week10-depth_range.py | py | 812 | python | en | code | 0 | github-code | 50 |
26378238100 | #
'''
1. 아이디어 :
2. 시간복잡도 :
3. 자료구조 :
'''
"""
# Definition for a Node.
class Node:
def __init__(self, val=None, children=None):
self.val = val
self.children = children if children is not None else []
"""
class Solution:
def cloneTree(self, root: 'Node') -> 'Node':
if not root:
... | 724thomas/CodingChallenge_Python | LeetCode/1490CloneNaryTree.py | 1490CloneNaryTree.py | py | 695 | python | en | code | 0 | github-code | 50 |
21745678736 | # Microsoft Cognitive services
#
# https://azure.microsoft.com/en-us/services/cognitive-services/
# Get API key: https://azure.microsoft.com/en-us/try/cognitive-services/?api=computer-vision
# CV API Documentation: https://goo.gl/sc2Rb3
import json
import os
import requests
api_key = "xx"
api_url = "https://westeurop... | Slawecky/Python | Day_15/ms_cv.py | ms_cv.py | py | 1,657 | python | en | code | 0 | github-code | 50 |
75130563355 | # Standard imports
import numpy as np
import cv2
winName = "Cell fish"
def onTunaFishTrackbar(im, brightness, useEqualize=1, blursSize=21, th1=None):
winName = "Cell fish"
tmp = brightness
if (blursSize >= 3):
blursSize += (1 - blursSize % 2)
tmp = cv2.GaussianBlur(tmp, (blursSize, blursS... | jev26/Hackuarium-GenomicIntegrity-2018 | NucleusDetection/Trash/Tuna.py | Tuna.py | py | 3,394 | python | en | code | 0 | github-code | 50 |
42093156148 | import gtk
import gtkhex
import gobject
from umit.pm.core.i18n import _
from umit.pm.core.logger import log
class HexDocument(gtkhex.Document):
__gtype_name__ = "PyGtkHexDocument"
__gsignals__ = {
'changed' : (gobject.SIGNAL_RUN_LAST,
gobject.TYPE_NONE, (gobject.TYPE_PYOBJECT,
... | umitproject/packet-manipulator | umit/pm/gui/widgets/pygtkhexview.py | pygtkhexview.py | py | 5,865 | python | en | code | 16 | github-code | 50 |
5111657659 | import os
from logging import ERROR
import boto3
import pytest
from _pytest.logging import LogCaptureFixture
from app.src.env import Env, get_env, get_env_by_key
from moto import mock_ssm
@pytest.fixture
def set_env() -> None:
os.environ["LINE_CHANNEL_SECRET"] = "lcs"
os.environ["LINE_CHANNEL_ACCESS_TOKEN"] ... | pep299/dbd_line_bot | app/tests/test_env.py | test_env.py | py | 2,116 | python | en | code | 2 | github-code | 50 |
42258636998 | #This file contains the python implementation of shadow detector for satellite imagery
#Author: Bhavan Vasu
import cv2 as cv2
from skimage import io, color
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
filename1='./Im7.tiff'
rgb = Image.open(filename1)
rgb = np.asarray(rgb)
plt.figure()
plt.... | vbhavank/Shadow-detection-using-LAB-color-space | lab.py | lab.py | py | 1,322 | python | en | code | 16 | github-code | 50 |
29776638837 | import json
from defi_services.lending_pools.cream_service import CreamService
if __name__ == "__main__":
cream = CreamService("0x38", "https://bsc-dataseed1.binance.org/")
pool_token = cream.get_pool_token()
wrapped_native_token = cream.get_wrapped_native_token()
apy = cream.get_apy_defi_app(pool_tok... | phamvietbang/defi-services-lib | examples/lending_pools/bsc/cream.py | cream.py | py | 957 | python | en | code | 0 | github-code | 50 |
12522666835 | import os
from tumor_utils.wsi import WSI # custom WSI class
from tumor_utils.tile import Tile # custom Tile class
def tile_wsi_list(wsi_file_list:list, tile_dir:str, tile_size:int=256, level:int=0):
# generate a WSI object for each WSI in list
for wsi_file in wsi_file_list:
print(f"\nTiling file:... | amcrabtree/tumor-finder | scripts/tumor_utils/tiling.py | tiling.py | py | 771 | python | en | code | 1 | github-code | 50 |
3547406521 | import logging
from threading import TIMEOUT_MAX
import boto3
from botocore.exceptions import ClientError
import os
import argparse
import sys
import json
import time
sys.path.append('../')
from arg_satcomp_solver_base.sqs_queue.sqs_queue import SqsQueue
class SolverTimeoutException(Exception):
pass
class S... | aws-samples/aws-batch-comp-infrastructure-sample | docker/satcomp-images/satcomp-solver-resources/arg_satcomp_solver_base/satcomp_solver_driver.py | satcomp_solver_driver.py | py | 6,975 | python | en | code | 8 | github-code | 50 |
39673132700 | from PIL import Image, ImageDraw
import numpy as np
import os
# 指定要处理的目录和查找的关键字
directory = "../111"
search_keyword1 = "1.2m_2.5m"
search_keyword2 = "1.5m_2.5m"
# 循环遍历目录中的所有文件
for filename in os.listdir(directory):
if filename.endswith(".jpg") or filename.endswith(".JPG"):
if search_keyword2 in filename:
... | HunterCQu/python_tools | python4image/add_a_cover.py | add_a_cover.py | py | 1,164 | python | en | code | 0 | github-code | 50 |
6312277173 | import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
INFORMATIONAL_SEVERITY_COLOR = "rgb(64,65,66)" # Black
LOW_SEVERITY_COLOR = "rgb(29,184,70)" # Green
MEDIUM_SEVERITY_COLOR = "rgb(209,125,0)" # Orange
HIGH_SEVERITY_COLOR = "rgb(209,60,60)" # Red
CRITICAL_SEVERITY_COLOR = "... | demisto/content | Packs/Campaign/Scripts/ShowCampaignHighestSeverity/ShowCampaignHighestSeverity.py | ShowCampaignHighestSeverity.py | py | 2,242 | python | en | code | 1,023 | github-code | 50 |
75131560155 | products = {
"shelf_one": "beer",
"shelf_two": "coffee",
"shelf_three": "water",
"shelf_four": "banana"
}
products_values = products.values()
products_keys = products.keys()
items = products.items()
print(f"declaration: {products}")
print(f"type: {type(products)}")
print(f"values: {products_values}")
... | hotequil/learning-python | dictionaries.py | dictionaries.py | py | 1,385 | python | en | code | 0 | github-code | 50 |
40160477350 | from __future__ import absolute_import
import sys
from builtins import range
from .Mixins import _ConfigureComponent, PrintOptions
from .Mixins import _Labelable, _Unlabelable
from .Mixins import _ValidatingParameterListBase
from .ExceptionHandling import *
from .OrderedSet import OrderedSet
class _HardDependency(obj... | cms-sw/cmssw | FWCore/ParameterSet/python/SequenceTypes.py | SequenceTypes.py | py | 128,875 | python | en | code | 985 | github-code | 50 |
40905109656 | import datetime
import os
import re
import sys
from collections import OrderedDict
import numpy
from . import units
from .colormap import ColorMap
from .Point import Point
from .Qt import QtCore
GLOBAL_PATH = None # so not thread safe.
class ParseError(Exception):
def __init__(self, message, lineNum, line, fil... | pyqtgraph/pyqtgraph | pyqtgraph/configfile.py | configfile.py | py | 5,806 | python | en | code | 3,463 | github-code | 50 |
10166043804 | '''
去重和排序：
随机生成1～10之间的20个随机数，存入列表中
先输出原始的列表数据
对列表进行去重、排序后输出新列表
'''
import random
my_list = []
for n in range(20):
rand = random.randint(1,10)
my_list.append(rand) # append在末尾添加一个元素
#输出原始列表
for n in my_list:
print(n,end=' ')
#去重
my_list2 = []
for n in my_list:
if n not in my_list2: # 判断是否不存在
my_l... | evynlau/pythonDemo | day4/列表案例2.py | 列表案例2.py | py | 646 | python | zh | code | 0 | github-code | 50 |
591733928 | import h5py
import os
import numpy as np
import cv2
import glob
import h5py
import keras
from sklearn.model_selection import train_test_split
Normal_dir = './Normal/'
Glaucoam_dir = './Glaucoma/'
INPUT_DATA = './RIM-ONE2/'
test_DATA = './RIM-ONE2_test/'
def create_image_lists():
# f = h5py.File("... | manal-asdg/CNNs_medical | TCNN/finetune_alexnet_with_tensorflow/input_data_3.py | input_data_3.py | py | 2,169 | python | en | code | 0 | github-code | 50 |
28322419385 | import math
def mean(list_of_x):
sum_of_x = sum(list_of_x)
length_of_x = len(list_of_x)
return sum_of_x/length_of_x
def variance(list_of_x, mean):
mean = mean(list_of_x)
new_list = []
for i in list_of_x:
new_list.append((i - mean)**2)
return sum(new_list)/len(new_list)
def sta... | jesulonse/Measures-of-Central-Tendency | Mean,Variance and Standard Deviation.py | Mean,Variance and Standard Deviation.py | py | 642 | python | en | code | 0 | github-code | 50 |
15074034885 | from .convert import *
from .compute_cache import compute_and_store_cached_data
import os
class StandaloneExporter(DarwinExporter):
DRW_CONVERT_FILE = os.path.abspath(os.path.splitext(__file__)[0] + ".drw")
def __init__(self, root, name, **kwargs):
os.environ["DARWIN_BROWSERDATA_PATH"] = os.path.absp... | DessimozLab/pyoma | pyoma/browser/convert_omastandalone.py | convert_omastandalone.py | py | 7,853 | python | en | code | 0 | github-code | 50 |
9828160975 | import math
import random
import pygame
from pygame import mixer
# Intialize the pygame
pygame.init()
# create the screen
screen = pygame.display.set_mode((800, 600))
# Background
background = pygame.image.load('back.png')
# # Sound
# mixer.music.load("background-music.wav")
# mixer.music.play(-1)
# Caption and I... | paulknulst/ghost-invader | main.py | main.py | py | 4,972 | python | en | code | 0 | github-code | 50 |
42244092128 | import sys
from itertools import count
grid = [list(row.strip()) for row in sys.stdin.readlines()]
def step():
moves = False
for C, (DX, DY) in [('>', (1, 0)), ('v', (0, 1))]:
tries = ( ((x, y), ((x+DX)%len(row), (y+DY)%len(grid)))
for y, row in enumerate(grid) for x, c in enumerate(row) i... | ShuP1/AoC | src/2021/25.py | 25.py | py | 641 | python | en | code | 0 | github-code | 50 |
38349050173 | """
Description:
Given an array of integers , Find the minimum sum which is obtained from summing
each Two integers product .
"""
def min_sum(arr):
arr.sort()
end = len(arr)
sum = 0
# print(arr[:end // 2], arr[-1:end // 2 - 1:-1])
for pair in zip(arr[:end // 2], arr[-1:end // 2 - 1:-1]):
su... | MaximSinyaev/CodeWars | c7kyu/minimize-sum-of-array-array-series-number-1.py | minimize-sum-of-array-array-series-number-1.py | py | 416 | python | en | code | 0 | github-code | 50 |
42584067781 | import os, stat
import numpy as np
import utils.run_analysis as ana
import datatable as dt
def read_match_timestamps(base_dir, target_fps, subject, trial, num_cameras=1):
'''
Readin timestamps from all devices and match them to a common timestamp, repeating frames if needed.
NOTE: You may need to fix ... | vdutell/st-bravo_analysis | read_match_timestamps.py | read_match_timestamps.py | py | 5,221 | python | en | code | 0 | github-code | 50 |
19811541836 | # -*- coding: utf-8 -*-
# Author: Yiqiao Wang
# Date: 27.02.2022
import mne
import os
import numpy as np
import scipy.io
def read_raw_edf(path):
"""
load in raw data that stored in the given path
:param path: string, path of raw data
:return:
"""
raw = mne.io.read_raw_edf(path, preload=Tru... | yqwang306/code | util/eeg_utils.py | eeg_utils.py | py | 5,922 | python | en | code | 1 | github-code | 50 |
13511664055 | # -*- coding: UTF-8 -*-
# Roll- drone left-right tilt. (must be in [-100:100])
# Pitch- drone front-back tilt. (must be in [-100:100])
# Gaz- drone vertical speed. (must be in [-100:100])
# Yaw- drone angular speed. (must be in [-100:100])
import olympe
from olympe.messages.ardrone3.Piloting import TakeOff, moveBy,... | Duke-XPrize-Anafi-GUI/DukeXPrizeAnafiGUI | misc/control_test.py | control_test.py | py | 1,570 | python | en | code | 5 | github-code | 50 |
12849727794 | import boto.rds
import boto.ec2
import datetime
import time
import argparse
import collections
from datetime import date, timedelta
from boto.exception import BotoServerError
def getSnapshots():
"Lists all snapshots that were created using this script"
snapshotList = []
for snapshot in dbSnapshots:
... | mminges/cf-scripts | pcf-db-script.py | pcf-db-script.py | py | 8,425 | python | en | code | 0 | github-code | 50 |
32345763727 | from pathlib import Path
import pandas as pd
from config import CsvCube, CsvCubeConfig
import csvwtools
hmrc_ots_cn8_config = CsvCubeConfig.from_info_json(Path("info.json"), "hmrc-ots-cn8")
hmrc_ots_cn8_cube = CsvCube(hmrc_ots_cn8_config)
# Alternatively we could have something like
# hmrc_ots_cn8_cube = csvwtools... | robons/cubes-chunk-proposal | example.py | example.py | py | 1,399 | python | en | code | 0 | github-code | 50 |
25457278941 | from tkinter import *
from tkinter import font
import psutil
from psutil import disk_partitions, disk_usage, virtual_memory, cpu_percent
from tabulate import tabulate
window = Tk()
window.geometry("1024x768")
window.title("CPU - RAM - DISK USAGE")
# Función para mostrar información de la CPU
def show_cpu_info():
... | JuanDQuintero/SO-FinalProject | cpu.py | cpu.py | py | 4,889 | python | en | code | 0 | github-code | 50 |
14880553944 | from pathlib import Path
from typing import List, Tuple
class InfoBase:
"""
InfoBase to construct the project
Attributes:
licenses: list of license paths
"""
def __init__(self):
self._root = Path(__file__).parent
self.templates = self._root.joinpath('templates')
s... | pradyparanjpe/pyprojstencil | pyprojstencil/read_templates.py | read_templates.py | py | 1,115 | python | en | code | 0 | github-code | 50 |
28138894249 | import requests
# define the api url
url = 'https://jsonplaceholder.typicode.com/users'
# api call
response = requests.get(url)
# get the data from the response
data = response.json()
# giving the user wanted to find
options = '\n*** id - name - username - website - email - address - phone - company *** \n'
input = inp... | aliakbarzohour/python-api | api.py | api.py | py | 914 | python | en | code | 0 | github-code | 50 |
21874387158 | from typing import List
# https://leetcode.com/problems/word-search/
class Solution79:
def exist(self, board: List[List[str]], word: str) -> bool: # O(m*n* 3^L)
m, n = len(board), len(board[0])
nw = len(word)
seen = set()
directions = [[0, 1], [0, -1], [1, 0], [-1, 0]]
de... | sunjianbo945/leetcode | src/data_structure/search/dfs_find_specific_path.py | dfs_find_specific_path.py | py | 3,033 | python | en | code | 0 | github-code | 50 |
26176041593 | import numpy as np
from Averages import *
class LCFS:
'''
Klasa odpoweidzialna za policzenie czasu oczekiwania (metoda waitingTime) i czasu przetwarzania
(metoda processing time) dla algorytmu LCFS
'''
def __init__(self,arr,wt,pt):
'''
Konstruktor klasy przyjmuje 4 argumenty, odpowi... | BartoszSochacki/Process-scheduling-simulation | LCFS.py | LCFS.py | py | 2,639 | python | pl | code | 0 | github-code | 50 |
18018350288 | """
URLs for `admin_dashboard.applications` app
"""
from django.urls import include, path
from openedx.adg.admin_dashboard.applications.views import ApplicationDetailView, ApplicationListingView
from openedx.adg.lms.applications.models import UserApplication
from .views import ApplicationsDashboardView
urlpatterns =... | OmnipreneurshipAcademy/edx-platform | openedx/adg/admin_dashboard/applications/urls.py | urls.py | py | 1,106 | python | en | code | null | github-code | 50 |
16548413203 | import pandas as pd
import matplotlib.pyplot as plt
from tabulate import tabulate
import statsmodels.api as sm
import numbers
def print_tabulate(df: pd.DataFrame):
print(tabulate(df, headers=df.columns, tablefmt='orgtbl'))
# Regresión Linear
def transform_variable(df: pd.DataFrame, x:str)->pd.Series:
if isin... | JuanD254/Mineriadatos | Practica6Regresion.py | Practica6Regresion.py | py | 1,350 | python | en | code | 0 | github-code | 50 |
29007126713 | filename = 'pi_million_digits.txt'
with open(filename) as file_object: # open()返回的对象只在with代码块内可用
lines = file_object.readlines()
pi_string = ''
for line in lines:
pi_string += line.strip()
# print(len(pi_string))
birthday = input("Please input your birthday, in the form mmddyy: ")
if birthday in pi_string:
... | wngq/PythonCrashCourse | chapter10/pi_birthday.py | pi_birthday.py | py | 384 | python | en | code | 0 | github-code | 50 |
9076575089 | #services/users/manage.py
import unittest
import coverage # new
from flask.cli import FlaskGroup
from project import create_app, db # new
from project.api.models import User, Document, Documententity, Entity # new
COV = coverage.coverage(
branch=True,
include='project/*',
omit=[
'project/tests/... | Poeteta/Aplication_Arq | services/documents/manage.py | manage.py | py | 2,623 | python | en | code | 0 | github-code | 50 |
74906671835 | from io import BytesIO
import xlsxwriter
def get_format(workbook, bold=False):
f = workbook.add_format()
if bold:
f.set_bold()
f.set_font_name('Arial')
f.set_font_size(11)
f.set_align('left')
f.set_align('vcenter')
f.set_font_color('black')
return f
def build_sheet(workbook,... | Haner27/open-box | open_box/xlsx/writer.py | writer.py | py | 1,160 | python | en | code | 1 | github-code | 50 |
8083088150 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import math
import numpy as np
# def fun(x,y,z,d,a1,a2):
# pass
def getDistanceAngle(pixel_x, pixel_y, real_z):
camera_fx = 383.599
camera_fy = 383.599
camera_cx = 320.583
camera_cy = 238.327
z = np.float(real_z)
x = (pixel_x-camera_cx)*z/ca... | Kester-Broatch/DroneAlgos | CA_functions.py | CA_functions.py | py | 767 | python | en | code | 0 | github-code | 50 |
33543354383 | import cv2
import matplotlib.pyplot as plt
# Matching 2 Images better than simple template matching
template = cv2.imread('Pic-11.png')
img = cv2.imread('Pic-12.png')
orb = cv2.ORB_create()
kp1, des1 = orb.detectAndCompute(template, None)
kp2, des2 = orb.detectAndCompute(img, None)
bf = cv2.BFMatcher(cv... | MordredGit/OpenCV-Codes | 10. featureMatchingUsingOrb.py | 10. featureMatchingUsingOrb.py | py | 553 | python | en | code | 0 | github-code | 50 |
14063219075 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from DDPG_agent import *
from ReplayBuffer import *
from configs import *
class MADDPG_agent:
def __init__(self,env,brain_name,buffer_size = BUFFER_SIZE,batch_size = BATCH_SIZE,update_every = UPDATE_EVERY,
learn... | mojishoki/DRL-Multi-Agent-Collaboration-Competition-P3 | MADDPG/MADDPG_agent.py | MADDPG_agent.py | py | 5,990 | python | en | code | 0 | github-code | 50 |
18445820766 | from pymongo import MongoClient
from bson import ObjectId
import os
client = MongoClient('localhost', 27017)
root = client.root
print("Connected to db")
basedir = os.getcwd()
for dir in os.listdir(basedir):
if dir != 'insert-image-names.py':
print(dir)
dbQuery1 = root.grounds.find({'_id': ObjectId(dir)})
gr... | nishank-jain/profile | migrations/insert-image-names.py | insert-image-names.py | py | 759 | python | en | code | 0 | github-code | 50 |
19348907679 | from flask import Flask, jsonify
from flask import request
from flask_cors import CORS
import util.personal_opinion as personal_opinion
# configuration
DEBUG = True
app = Flask(__name__)
app.config.from_object(__name__)
CORS(app, resources={r'/*': {'origins': '*'}})
@app.route('/extract-opinion', methods=['POST'])
d... | LiamWahahaha/opinion-extraction | server/app.py | app.py | py | 531 | python | en | code | 0 | github-code | 50 |
13449476635 | import numpy as np
import pandas as pd
import streamlit as st
st.set_page_config(page_title='Titanic Survival Prediction App',
layout='wide')
import csv
st.title("App to Predict Survival Chances in Titanic")
def mode(lum):
train = pd.read_csv('C:/Users/rocki/OneDrive/Desktop/mlapp/train.csv')
... | ravi3507/titanic_prediction_app | titanic.py | titanic.py | py | 6,860 | python | en | code | 0 | github-code | 50 |
32403932172 | # time complexity = O(nk)
from collections import deque
def max_in_sliding_window_1(array, k):
if not array:
return []
if len(array) < k:
return [max(array)]
result = []
for i in range(len(array) - k + 1):
max_in_array = array[i]
for j in range(i, i + k):
... | sudhirsinghshekhawat/problem_solving | algoexpert/maxinslidingwindow.py | maxinslidingwindow.py | py | 974 | python | en | code | 0 | github-code | 50 |
18223839390 | def palabras(lista):
lista.sort()
texto = "Las palabras ordenadas son:\n"
for i in range (0,len(lista)):
if i != len(lista)-1:
texto = texto + lista[i] + ", "
else:
texto = texto + lista[i]
print(texto)
if __name__ == "__main__":
lista = []
palabra = input("Ingrese palabra: (ingreso vacio terminara la ... | PedroArr/info175_-Pedro_Arriagada- | Ejercicio2.py | Ejercicio2.py | py | 435 | python | es | code | 0 | github-code | 50 |
42372133362 | import tensorflow as tf
import numpy as np
import argparse
import sys
from flask import Flask, request, Response, jsonify
app = Flask(__name__)
predict = None
def pre_processing(pixels):
#standarize pixels
# pixels = pixels - pixels.mean(axis=1).reshape(-1, 1)
# pixels = np.multiply(pixels, 100.0/255.0)
... | Whoseop-Song/Emotion-Reader-Service | predict.py | predict.py | py | 1,764 | python | en | code | 0 | github-code | 50 |
11310958908 | import numpy as np
def dimensional_stacking(data, x_dims, y_dims):
"""
Stack an n-dimensional ndarray in two dimensions according to the
dimensional ordering expressed by x_dims and y_dims.
See LeBlanc, Ward, Wittels 1990, 'Exploring N-Dimensional
Databases'.
* data: n-dimensional ndarray (e.... | epiasini/dimstack | core.py | core.py | py | 1,009 | python | en | code | 3 | github-code | 50 |
536115605 | import time
import requests
import hashlib
import hmac
import datetime as dt
import os
api_key = os.getenv('binance_api_key')
secret_key = os.getenv('binance_secret_key')
BALANCE_URL = 'https://fapi.binance.com/fapi/v2/balance?{}&signature={}'
ACCOUNT_URL = 'https://fapi.binance.com/fapi/v2/account?{}&signature={}'
P... | 99products/MyBinanceBot | mybinance.py | mybinance.py | py | 3,726 | python | en | code | 1 | github-code | 50 |
71994980635 | num = [[],[]]
p = 's'
for i in range(0,6):
no = int(input('Valor:'))
if no % 2 == 0:
num[0].append(no)
else:
num[1].append(no)
print(f'Todos os valores {sorted(num)}')
print(f'Numeros pares {sorted(num[0])}')
print(f'Numeros ímpares {sorted(num[1])}')
| ArthPx/learning-code | d 85.py | d 85.py | py | 292 | python | pt | code | 0 | github-code | 50 |
5916683078 | import requests
import json
ENDPOINT: str = 'https://api.spacexdata.com/v5/launches/latest'
my_request = requests.get(ENDPOINT)
status_code: int = my_request.status_code
message: str = json.loads(my_request.content)
if (status_code == 200):
print("THE API WORKS")
else:
print(':*(')
print(message)
print(mes... | KCarey91/python-practice | APIs/test.py | test.py | py | 453 | python | en | code | 0 | github-code | 50 |
17904977429 | # *Input a collection of employee names with their salary, calculate average salary in organisation,
# get the employee with highest salary, get the employee with lowest salary print results.
employee = {'Anny': 60000, 'Avo': 50000, 'Vars': 25000, 'Sed': 100000}
limit = int(input('Input a limit count for employee`s len... | TatevAgh/Python_lessons | homeworks/Python homework 6/Ex5.py | Ex5.py | py | 766 | python | en | code | 0 | github-code | 50 |
40825386129 | import os
import collections
import random
import numpy as np
import torch
from torch import optim
from torch.utils.tensorboard import SummaryWriter
from typing import Optional, List
from agents.spectral.configs import get_laprepr_args
from agents.spectral.utils import torch_tools, timer_tools, summary_tools
from agen... | LucasCJYSDL/Scalable_MAOD_based_on_KP | continuous/MADO_n_agent_force/agents/spectral/learners/laprepr.py | laprepr.py | py | 17,869 | python | en | code | 0 | github-code | 50 |
3212200237 | from flask import render_template, redirect, session, url_for, request
from flask.views import View
from src.models import User
from src.config import db, app, mail, lang
from flask_login import login_user, current_user, login_required
from wtforms.validators import InputRequired
from src.models import User, Particip... | invite-me/invite.me | src/declarate/create/views.py | views.py | py | 3,651 | python | en | code | 0 | github-code | 50 |
8652550275 | import sys
sys.stdin = open("input3.txt", "r")
from pandas import DataFrame
# 기본 남 북 동 서
# 0 1 3 0 0
# 4 1 5 4 2 5 4 0 5 1 5 3 3 4 1
# 2 3 1 2 2
# 3 0 2 4 5
def move(go, dice):
... | TValgoStudy/algo_study | 쌔피맨조/다은/BOJ14499/BOJ14499.py | BOJ14499.py | py | 1,670 | python | ko | code | 3 | github-code | 50 |
5965945056 | import numpy as np
import json
def compute_bounding_box_dimensions(vertices):
min_coords = np.min(vertices, axis=0)
max_coords = np.max(vertices, axis=0)
dimensions = max_coords - min_coords
return dimensions
def load_obj(file_path):
vertices = []
with open(file_path, 'r') as obj_file:
... | puiyu11/Hackathon | bounding_box_dimensions.py | bounding_box_dimensions.py | py | 1,534 | python | en | code | 0 | github-code | 50 |
70344464474 | # -*- coding: utf-8 -*-
"""
Created on Tue May 12 14:56:26 2020
@author: jvan1
"""
import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn.linear_model import LinearRegression
from sklearn.cluster import KMeans
def bostonCoefficient():
data = datasets.load_boston()
x = data.data
y = da... | Vansantj/FE595-SKLearn | sklearn_introduction.py | sklearn_introduction.py | py | 1,325 | python | en | code | 0 | github-code | 50 |
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