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values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
27970246169 | # coding=utf-8
import logging
import os
import uuid
import xlwt
from django.core.cache import cache
from django.core.urlresolvers import reverse
from django.db import IntegrityError
from django.db import transaction
from BanBanTong import constants
from BanBanTong.db import models
from BanBanTong.db import utils as db_... | xiaolin0199/bbt | apps/BanBanTong/views/system/lesson_teacher.py | lesson_teacher.py | py | 11,751 | python | en | code | 0 | github-code | 1 |
22720982859 | #!/usr/bin/env python3
from __future__ import annotations
import torch
from .. import settings
from ..utils.broadcasting import _matmul_broadcast_shape, _mul_broadcast_shape
from ..utils.deprecation import bool_compat
from ..utils.getitem import _noop_index
from .dense_linear_operator import DenseLinearOperator, to_... | cornellius-gp/linear_operator.old | linear_operator/operators/cat_linear_operator.py | cat_linear_operator.py | py | 18,489 | python | en | code | 18 | github-code | 1 |
2347070900 | from django.core.exceptions import ValidationError
from django.db import transaction
from rest_framework import exceptions, status, viewsets
from rest_framework.decorators import action
from rest_framework.response import Response
from ESSArch_Core.ip.models import Agent, InformationPackage
from ESSArch_Core.ip.permis... | ESSolutions/ESSArch_Tools_Producer | ESSArch_TP/profiles/views.py | views.py | py | 5,722 | python | en | code | 4 | github-code | 1 |
19360145371 | import logging
import pandas as pd
from zenml import step
class IngestData:
"""
Ingesting data from the data_path provided.
"""
def __init__(self, path: str):
"""
Args:
data_path: path to the data.
"""
self.path = path
def get_data(self):
"""
... | MaruthiKo/customer-satisfaction_mlops | steps/ingest_data.py | ingest_data.py | py | 987 | python | en | code | 0 | github-code | 1 |
2949776160 | from selenium.webdriver.firefox.options import Options as FirefoxOptions
import filesHandler as fh
import lpCrawler as lp
def scrape_charts(filepath):
""" Scrape the data of all the charts of Polish Radio Program 3. """
ff_options = FirefoxOptions()
ff_options.add_argument('--headless')
driver = lp.LP... | magdalena-natalia/PR3TimeMachine | lpJson.py | lpJson.py | py | 434 | python | en | code | 0 | github-code | 1 |
71873135395 | import re
import sys
from deep_translator import GoogleTranslator
# Split the text into smaller groups up to 5000 characters without breaking lines so need to split on new lines
def split_text(text, max_len=4500):
# Split the text into lines
lines = text.split("\n")
# List of chunks
chunks = [... | BaseMax/UnlimitedAutoTranslate | UnlimitedAutoTranslate.py | UnlimitedAutoTranslate.py | py | 2,207 | python | en | code | 10 | github-code | 1 |
24870806650 | #!/usr/bin/env python3
import lib.exitcode
import lib.utilities as utilities
import os
import shutil
import sys
from lib.database import Database
from lib.database_lib.config import Config
from lib.lorisgetopt import LorisGetOpt
__license__ = 'GPLv3'
def main():
usage = (
"\n"
"***************... | aces/Loris-MRI | tools/correct_blake2b_and_md5_hashes_in_database.py | correct_blake2b_and_md5_hashes_in_database.py | py | 18,913 | python | en | code | 10 | github-code | 1 |
39546171687 | '''
爬虫主程序
从工信部获取并下载《免征车辆购置税的新能源汽车车型目录》，《新能源汽车推广应用推荐车型目录》，《道路机动车辆生产企业及产品》文件，文件储存至 './data/origin_data'
@Author: KivenChen
@Date: 2019-04-10
'''
import os
import asyncio
from . import output
from .spider import spider_1, spider_2
def main():
base_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
... | KivenCkl/New_Energy_Vehicles_Info_Crawler | Spider/main.py | main.py | py | 1,597 | python | zh | code | 28 | github-code | 1 |
35008997186 | import math
import stdio
import sys
# Read four floats x1, y1, x2, and y2 as command-line arguments.
x1 = float(sys.argv[1])
y1 = float(sys.argv[2])
x2 = float(sys.argv[3])
y2 = float(sys.argv[4])
sinx1 = math.sin(math.radians(x1))
sinx2 = math.sin(math.radians(x2))
cosx1 = math.cos(math.radians(x1))
cosx2 = math.... | amandakwong898/cs110-project1 | great_circle.py | great_circle.py | py | 534 | python | en | code | 0 | github-code | 1 |
13261468913 | import websocket, json, pprint,talib, numpy
SOCKET = "wss://stream.binance.com:9443/ws/ethusdt@kline_1m"
avg = 0
open_total = []
closed_total = []
high_total = []
low_total = []
SSL_PERIOD = 14
STOCK = "ETHUSD"
PAY = 100.00
POSTION = False
TRADE_QUANTITY = 0
profit = 0
def on_open(webS):
print(" opened conn... | TDysart1/botbot | ethrium.py | ethrium.py | py | 4,606 | python | en | code | 0 | github-code | 1 |
38920515345 | from flask import Flask
from flask import request # `request` is a global object that can be used to access the query string of a url
# Create a new Flask instance (passing the current namespace to the Flask initializer)
app = Flask(__name__)
# Create a route
# Note this uses 'pie syntax' to implement a decorator
# ... | Crossroadsman/FlaskProject | simple_app.py | simple_app.py | py | 2,440 | python | en | code | 0 | github-code | 1 |
18096921378 | import requests
from bs4 import BeautifulSoup as bs
import arrow
import csv
import pandas as pd
from time import sleep
def forager():
venue = "Forager"
prices = "NaN"
month = input("Please enter the number of the month in the form '1': ")
for l in range(1, 13):
if month == str(l):
... | Astatham98/EventWebScrape | webscrape1/forager.py | forager.py | py | 2,955 | python | en | code | 0 | github-code | 1 |
15871446797 | # coding=utf-8
from openpyxl import Workbook
#在内存中创建一个workbook对象
wb = Workbook()
ws = wb.get_active_sheet()
print(ws.title)
ws.title = u'99乘法表'
#设置单元格的值
for row in range(1,10):
for col in range(1,10):
ws.cell(row = row, column = col).value = row * col
#最后保存
wb.save(filename='99乘法表.xls')
| stella-chmt/daily_scripts | python/practise_for_yingl_lessons/lesson_1/multiply_sheet.py | multiply_sheet.py | py | 359 | python | en | code | 0 | github-code | 1 |
29539726668 | from traceback import print_tb
from matplotlib import pyplot as pl
import numpy as np
import re
def poly_regression(dataset1):
x1 = np.arange(dataset1.size)
z1 = np.polyfit(x1, np.log(dataset1),1)
exp_1 = np.exp(z1[1])
plot_p1 = [exp_1*np.exp(z1[0]*x) for x in range(50)]
return plot_p1
# ... | MatheusMenezes/latent_learning_app | plot_codes/plot_grid.py | plot_grid.py | py | 14,212 | python | en | code | 0 | github-code | 1 |
11274134402 | import z3
import random
special_var_table = {}
_var_count = 0
def new_variable(var_type):
global _var_count
_var_count += 1
if var_type == "Bool":
return z3.Bool("Bool" + str(_var_count))
elif var_type == "Int":
return z3.Int("Int" + str(_var_count))
else:
assert False
def... | hsh814/ExtractFix | src/synthesis/second_order/util/common.py | common.py | py | 2,587 | python | en | code | 0 | github-code | 1 |
14851062460 | import os
import sys
import numpy as np
import cv2 as cv
import matplotlib.pyplot as plt
def homography_function(x, y, H): # x&y-> N-by-1, H-> 3-by-3, return-> (N-by-1,N-by-1)
D = (H[2,0] * x + H[2,1] * y + 1)
xs = (H[0,0] * x + H[0,1] * y + H[0,2]) / D
ys = (H[1,0] * x + H[1,1] * y + H[1,2]) / D
return xs, ... | burakkunkcu/image-stitching | image-stitching.py | image-stitching.py | py | 12,882 | python | en | code | 1 | github-code | 1 |
20059712231 | import os
from setuptools import setup, find_packages
exec(open('hops/version.py').read())
def read(fname):
try:
return open(os.path.join(os.path.dirname(__file__), fname), encoding='utf8').read() #python3
except:
return open(os.path.join(os.path.dirname(__file__), fname)).read() #python2
se... | logicalclocks/hopsworks-cloud-sdk | setup.py | setup.py | py | 1,664 | python | en | code | 1 | github-code | 1 |
22861823283 | import json
import requests
import argparse
import sys
import os
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
chrom... | PFE-Attack-client/PFE-Attaques-client | platform/my-vuln-app/bot-victim/main.py | main.py | py | 2,034 | python | en | code | 0 | github-code | 1 |
3028681836 | import numpy as np
import tensorflow as tf
import extra_keras_datasets.emnist as centr_emnist # See https://github.com/machinecurve/extra_keras_datasets
import nest_asyncio
nest_asyncio.apply()
tf.compat.v1.enable_v2_behavior()
tf.compat.v1.graph_util.extract_sub_graph
# Final evaluation in test dataset
print("Eval... | fwilhelmi/blockchain_enabled_federated_learning | Code & Results/TensorFlow code/evaluate_models_test_dataset.py | evaluate_models_test_dataset.py | py | 1,279 | python | en | code | 27 | github-code | 1 |
20920450281 | #!/usr/bin/env python3
# publisher for a specific img folder
import rospy
from std_msgs.msg import String
from detection_only.msg import Bbox_6, Bbox6Array
from sensor_msgs.msg import Image
import json
import time
import cv2
from os import listdir
from os.path import isfile, join
from cv_bridge import CvBridge
import ... | ziyan0302/Yolov5_DeepSort_Pytorch_ros | src/detection_only/src/img_pubtest.py | img_pubtest.py | py | 1,994 | python | en | code | 5 | github-code | 1 |
43216431795 | # Imprimir los 20 años bisiestos siguientes a 2016
"""
Para que un año sea bisiesto debe ser divisible por 4, excepto aquellos divisibles entre 100 pero no entre 400
"""
maxBisiestos = 20
n = 2017
for i in range(maxBisiestos):
bisiesto = False
while not bisiesto:
if n % 4 == 0 or n % 400 == 0 and not n ... | gasparpd/SGEM-python | EjerciciosIniciales/practica/ej10.py | ej10.py | py | 473 | python | es | code | 0 | github-code | 1 |
14685003387 |
def load_caves(filename):
file = open(filename, "r")
lines = file.readlines()
caves = CaveSystem()
for line in lines:
passage = line.strip().split("-")
caves.add_passage(passage[0], passage[1])
return caves
class CaveSystem:
def __init__(self):
self.caves = {}
def... | sea36/aoc-2021 | aoc_12.py | aoc_12.py | py | 2,496 | python | en | code | 0 | github-code | 1 |
17977450408 | # implementation based on DeepLTL https://github.com/reactive-systems/deepltl
import sys
import importlib
import os.path as path
import subprocess
import re
from timeit import default_timer as timer
from typing import Tuple
import multiexit
from dlsgs.utils import ltl_parser
DEFAULT_BINARY_PATH = "bin"
def solve_... | ju-kreber/Transformers-and-GANs-for-LTL-sat | impl/dlsgs/data_generation/ltl.py | ltl.py | py | 8,473 | python | en | code | 1 | github-code | 1 |
74081283232 | from unittest.mock import patch, Mock
import pytest
from item_db import ItemDB
from shopping_cart import ShoppingCart
@pytest.fixture
def cart():
return ShoppingCart(4)
def mock_get_price(item: str):
if item == 'pear':
return 2
if item == 'banana':
return 3
def test_can_add_item_to_c... | lorencmateusz/learning-tests | test_shopping_cart.py | test_shopping_cart.py | py | 1,091 | python | en | code | 0 | github-code | 1 |
8980871742 | import glob
import os
import sys
if not os.geteuid() == 0:
sys.exit('You must be root to run this application, please use sudo and try again.')
# fix input def in python2
try:
input = raw_input
except NameError:
pass
PATHS = ['.'];
for path in PATHS:
path = os.path.abspath(path)
projects = glob.gl... | MHMcz/docker-project-run | docker-project-run.py | docker-project-run.py | py | 818 | python | en | code | 0 | github-code | 1 |
16538322007 | import plotly.express as px
import pandas as pd
from datastructure import *
from sklearn.decomposition import PCA
import plotly.graph_objects as go
def createSPLOM(data, idx, indexRange, maxComp):
O = np.transpose(data.series[idx].orientations, (1, 0, 2))[indexRange[0]:indexRange[1]]
O = O.reshape(O.shape[0],... | marinaevers/asevis | Components/splom.py | splom.py | py | 1,208 | python | en | code | 0 | github-code | 1 |
40086162188 | import argparse
import pprint
import shutil
from pathlib import Path
import tensorflow as tf
import yaml
from tensorflow import keras
from dataset_factory import DatasetBuilder
from losses import CTCLoss
from metrics import SequenceAccuracy
from models import build_model
parser = argparse.ArgumentParser()
parser.add... | FLming/CRNN.tf2 | crnn/train.py | train.py | py | 2,049 | python | en | code | 144 | github-code | 1 |
1972302698 | # This demo shows how to plot the contour plot for given function, with resultant of the partial derivatives displayed
# as arrows
import numpy as np
import matplotlib.pyplot as plt
import math
def func(x, y):
z = y - x - 2 * x ** 2 - 2 * x * y - y ** 2
return z
x = np.linspace(-2, 0, 20)
y = np.linspace(1... | Homingdung/numerical_analysis_py | fieldsVisualize.py | fieldsVisualize.py | py | 521 | python | en | code | 0 | github-code | 1 |
34013737364 | from heapq import *
from collections import deque
from collections import Counter
def schedule_tasks(tasks, k):
# We should always try to schedule the task with the highest count.
# So, we can get the counts for each task and add to max Heap.
# Then, pop from maxHeap to schedule (k + 1) tasks
# For each task,... | kjingers/Leetcode | Problems/TaskScheduler/TaskScheduler.py | TaskScheduler.py | py | 1,856 | python | en | code | 0 | github-code | 1 |
25191387496 | import os
import pathlib
import gzip
from itertools import groupby
from typing import List, Dict, TextIO, Tuple, Union
import numpy as np
import pandas as pd
import plot
# type aliases
NX_DICT = Dict[str, List[int]]
AUN_DICT = Dict[str, float]
class AssemblyCollection:
def __init__(
self,
pat... | W-L/pauNy | pauNy/lib.py | lib.py | py | 10,096 | python | en | code | 1 | github-code | 1 |
70852654755 | import csv
from collections import OrderedDict
from statistics import mean
def calculate_averages(input_file_name, output_file_name):
f1 = open(input_file_name)
reader = csv.reader(f1)
for row in reader:
name = row[0]
grd = list()
for grade in row[1:]:
grd.append(float(... | NafisehAbrishami/Python_and_C_Projects | Project-Source1.py | Project-Source1.py | py | 3,671 | python | en | code | 0 | github-code | 1 |
33310802794 | # Command tool to view system statisitics
from commands import Command
import psutil
import math
def convert_size(size_bytes):
"""Converts a number of bytes to its respective unit such as GB or MB"""
if size_bytes == 0:
return "0B"
size_name = ("B", "KB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB")
i ... | grqphical07/Phosphate | commands/stats.py | stats.py | py | 2,047 | python | en | code | 0 | github-code | 1 |
26443195131 | import pymongo
import os
from datetime import datetime
import math
import re
import pymongo
import keys # .gitgnored file
from bson.objectid import ObjectId
from bson.son import SON
import atexit
import math
CONNECTION = None
PAGESIZE = 10
def date_now():
"""
Needed to keep the same date in python and mong... | ssi-dk/BeONE-old-version | bifrost/bifrost_mongo_interface.py | bifrost_mongo_interface.py | py | 8,965 | python | en | code | 0 | github-code | 1 |
42951189825 | """
Created on Jan 4, 2017
Inception V3 2 Tower model implementation
@author: Levan Tsinadze
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
map1 = 32
map2 = 64
num_fc1 = 700 # 1028
num_fc2 = 10
reduce1x1 = 16
dropout = 0.5
... | ChelovekHe/tensorflow_ann_modules | cnn/inceptions/network_config.py | network_config.py | py | 6,101 | python | en | code | null | github-code | 1 |
39884501056 | """Flame graph module."""
import inspect
import runpy
import signal
import time
from collections import defaultdict
from vprof import base_profiler
_SAMPLE_INTERVAL = 0.001
class _StatProfiler:
"""Statistical profiler.
Samples call stack at regular intervals specified by _SAMPLE_INTERVAL.
"""
def ... | nvdv/vprof | vprof/flame_graph.py | flame_graph.py | py | 6,376 | python | en | code | 3,934 | github-code | 1 |
2371194732 | import json
import os
from datetime import timedelta, date, datetime
from flask import render_template, request, redirect, Response, send_from_directory, session, url_for, abort
from flask.views import MethodView
from flask_admin.contrib import sqla
from flask_security import current_user
from clocking.models import ... | eaudeweb/mac-logging | clocking/api/view.py | view.py | py | 6,160 | python | en | code | 0 | github-code | 1 |
26355834775 | import json, os, platform, subprocess, sys, time
from datetime import datetime, timedelta
from operator import itemgetter
isPy3 = True
try:
from colorama import init
init()
except ImportError as e:
pass
scripts_lib_path = os.path.join(os.path.dirname(__file__), "lib")
this_platform_system = str(platform... | pgEdge/nodectl | cli/scripts/api.py | api.py | py | 20,709 | python | en | code | 7 | github-code | 1 |
75108619553 | #!/usr/bin/python3
"""
江西水库信息
Author: cg
Date: 2020/7/11 15:58
"""
import json
import urllib.request
from crawl.spiders.base_spider import BaseSpider
from operate.schedulermgr import SchedulerMgr
from db.mapping.jiangxi_reservoir.jiangxi_reservoir import JiangxiReservoir
from db.mapping.jiangxi_reservoir.jiangxi_r... | 0827cg/cgspiders | crawl/spiders/jiangxi_reservoir.py | jiangxi_reservoir.py | py | 3,313 | python | en | code | 0 | github-code | 1 |
35483658265 | from nltk.compat import gutenberg
gutenberg.fileids()
dir(gutenberg)
JM_book = gutenberg.words('milton-paradise.txt')
len(JM_book)
sample_JM = JM_book[100:150]
sample_JM
len(sample_JM)
set_JM = set(sample_JM)
set_JM
len(set(set_JM))
type(set_JM)
sorteSet_JM = sorted(set_JM)
sorteSet_JM
len(sorteSet_JM)
print("mil... | FernandoMartinezJara/Nltk | curso2/2 Organizing Words by Set and Sorted.py | 2 Organizing Words by Set and Sorted.py | py | 376 | python | en | code | 0 | github-code | 1 |
13967642156 | import boto3
from colorama import Fore, Back, Style
from functions import create_client
def help():
print(Fore.YELLOW + "\n================================================================================================" + Style.RESET_ALL)
print("[+] Module Description:\n")
print("\tThis module will enumer... | MiedzinskiBuck/Kintoun | modules/enumeration/s3_enumerate_buckets.py | s3_enumerate_buckets.py | py | 2,776 | python | en | code | 6 | github-code | 1 |
7065938845 | """
Původní návrh:
class Board
- grid
* reset
* draw
* score - z pohledu hráče
* score_wnd5
* wintie - globálně, 0 = jedeme dál, 1/-1 win hráč, jinak = tie
* wintie_wnd5
"""
import pygame
import random
import math
from pyshqorky.players import *
class Board:
""" Třída pro práci s herní deskou. Jsou zde informace ... | zdenekkhol/pyshqorky | pyshqorky/board.py | board.py | py | 14,134 | python | cs | code | 0 | github-code | 1 |
15554588830 | import os
import smtplib
import ssl
from email.message import EmailMessage
from email.utils import formataddr
from dotenv import load_dotenv
from pathlib import Path
# Load the environment variables
current_dir = Path(__file__).resolve().parent if "__file__" in locals() else Path.cwd()
envars = current_dir / ".env"
l... | martgjepali/E-mail-Automation | send_email.py | send_email.py | py | 2,464 | python | en | code | 0 | github-code | 1 |
36170383161 | from volatility3.framework import exceptions, renderers
from volatility3.framework.configuration import requirements
from volatility3.framework.interfaces import plugins
from volatility3.framework.objects import utility
from volatility3.framework.symbols import mac
class Ifconfig(plugins.PluginInterface):
"""List... | volatilityfoundation/volatility3 | volatility3/framework/plugins/mac/ifconfig.py | ifconfig.py | py | 2,047 | python | en | code | 1,879 | github-code | 1 |
38812425841 | import numpy as np
import cv2
img=cv2.imread('img4.png',0)
alto,ancho=img.shape[:2]
img1=np.zeros([alto, ancho], np.uint8)
img2=np.zeros([alto, ancho], np.uint8)
img3=np.zeros([alto, ancho], np.uint8)
k = np.array([[0, 1, 0], [1, 6, 1], [0, 1, 0]])/10
k1 = np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]])
img... | jaime1315321/VisionArtificial2022_2 | andres_carpeta/MATERAIAL COMPARTIDO/vision/sebas/Punto_e.py | Punto_e.py | py | 1,991 | python | es | code | 0 | github-code | 1 |
34154846862 | #!/usr/bin/python
# -*- coding: iso-8859-1 -*-
from Tkinter import *
import Tkinter as tk
from math import cos,sin,pi,ceil
import sys, time
from random import randrange
class smallGauge2(Frame):
def __init__(self,master,size,minValue,maxValue,stepValue):
Frame.__init__(self,master,borderwidth=5,relief=GRO... | bwhitelock/elmobd | smallGauge2.py | smallGauge2.py | py | 3,618 | python | en | code | 1 | github-code | 1 |
17716143801 | import unittest
from dosma.models import util as m_util
class TestUtil(unittest.TestCase):
def test_aliases_exist(self):
# Verify that none of the supported segmentation models have overlapping aliases
models = m_util.__SUPPORTED_MODELS__
alias_to_model = {} # noqa: F841
for m i... | ad12/DOSMA | tests/models/test_util.py | test_util.py | py | 1,135 | python | en | code | 49 | github-code | 1 |
31551591291 | # This code is written to extract electronic band structure data from V.A.S.P. calculation results.
import codecs
import re
import linecache # 这个模块非常适合根据给出的行号， 从文本文件中读取指定行的数据
import numpy as np
class vasp:
def __init__(self):
self.name = vasp
##############################################... | MajestyV/VASPWheels | VaspWheels/GetElectronicBands.py | GetElectronicBands.py | py | 17,172 | python | zh | code | 5 | github-code | 1 |
6022783824 | import time
import multiprocessing
from functools import partial
from app import App
CPU_COUNT = 4 # multiprocessing.cpu_count()
TEST_TIME = 60 * 1
def run_application(index: int, test_time: int) -> int:
print("Starting application:", index)
app = App()
app.start()
# queue_sizes = []
for i in ... | EvgeniiTitov/naive-events-processing | run_app_multicore.py | run_app_multicore.py | py | 889 | python | en | code | 0 | github-code | 1 |
37191536675 | load("//:python.bzl", "PYTHON2", "PYTHON3")
def _pytest_main_impl(ctx):
substitutions = {
"@@INTERPRETER@@": ctx.attr.interpreter,
"@@TEST_PATH@@": ctx.file.src.short_path,
}
ctx.actions.expand_template(
template = ctx.file._template,
output = ctx.outputs.main,
subs... | apt-itude/rules_pip | tools/pytest/rules.bzl | rules.bzl | bzl | 1,477 | python | en | code | 30 | github-code | 1 |
26813527429 | import os
import numpy as np
import pandas as pd
from tqdm import *
def label2csv(input_file, output_file, labels_file, train_dir):
with open(labels_file, 'r', encoding='utf-8') as f:
labels = f.readlines()
labels = [a.strip() for a in labels]
n_labels = len(labels)
with open(input_file, 'r... | gen0924/ECG-HEFEI | round2/code/prep/ecg_prep.py | ecg_prep.py | py | 7,039 | python | en | code | 6 | github-code | 1 |
72409330274 | N = int(input())
magic = list(map(int, input().split()))
Q = int(input())
target_stones = [int(input()) for _ in range(Q)]
magic_graph = {n + 1: [magic[n], magic.count(n + 1)] for n in range(N)}
states = [-1] * (N + 1)
moves = 0
states[N] = 0
change = True
while change:
change = False
remove = []
for n... | HliasOuzounis/xtreme | Magic Stones I (unsolved)/parents.py | parents.py | py | 726 | python | en | code | 1 | github-code | 1 |
16735200242 | # coding=utf-8
from charm.toolbox.pairinggroup import *
from utils.newsecretutils import Utils
from charm.toolbox.ABEncMultiAuth import ABEncMultiAuth
import re
# from newjson import ElementEncoder, ElementDecoder
import utils.newjson as newjson
import queue
import time
import threading
debug = False
import newma
impo... | scottocs/OFE-ABE | Alice.py | Alice.py | py | 4,244 | python | en | code | 0 | github-code | 1 |
15948730497 | from datetime import datetime
from django.contrib import messages
from django.contrib.auth import get_user_model
from django.db.models import F, Subquery, Count, Q
from django.http.response import JsonResponse
from django.shortcuts import render, get_object_or_404, redirect
from django.contrib.auth.decorators import lo... | NirushaaaR/CTF-platform-final-project | src/game/views.py | views.py | py | 5,996 | python | en | code | 0 | github-code | 1 |
41755387984 | # Server program
import socket
from _thread import *
# *****************************************************
# ADD the IP-address of your computer and pick a Port:
IP = '192.168.1.18'
PORT = 2345
# *****************************************************
# List of all the sockets connected to the server.
connections =... | Marhav/Computer-Network-and-Cloudservices-Portfolio-1 | server.py | server.py | py | 1,281 | python | en | code | 0 | github-code | 1 |
22048063398 | import re
from tkinter import Tk, Button, Entry, Label, Radiobutton, StringVar, Text
from voiceAtis import VoiceAtis
class VoiceAtisGUI(object):
STEP_INTERVAL = 25
def __init__(self):
# Init attributes.
# Gui master.
self.master = None
# Gui elements.
self.source = N... | Sowintuu/voiceAtis | voiceAtis/voiceAtisGUI.py | voiceAtisGUI.py | py | 6,016 | python | en | code | 1 | github-code | 1 |
38841332585 | import sqlalchemy
from sqlalchemy.ext.declarative import declarative_base
#Crear engine
engine = sqlalchemy.create_engine("sqlite:///slangs2.db")
Base = declarative_base()
#Crear diccionario
class Diccionario(Base):
__tablename__ = "diccionario"
id = sqlalchemy.Column(sqlalchemy.Integer, primary... | mtamburrelli/slangsSQLAlchemy | Slangs2(SqlAlchemy)/slangsTarea2(SQLALCHEMY).py | slangsTarea2(SQLALCHEMY).py | py | 4,417 | python | es | code | 0 | github-code | 1 |
6127715262 | from bs4 import BeautifulSoup
import re
from random_uk_bank_account.client.vocalink import VocalinkApi
from random_uk_bank_account.utils.exceptions import ErrorInferringVocalinkVersions
SORT_CODE_SUB_LINK_TEXT = "Sorting Code Substitution Data"
MODULUS_WEIGHT_TABLE_LINK_TEXT = "Modulus weight table data"
def _extrac... | j-puri/random-uk-bank-account | random_uk_bank_account/vocalink/vocalink_version.py | vocalink_version.py | py | 978 | python | en | code | 0 | github-code | 1 |
18709087270 | # Dictionary and counter in Python to find winner of election
print("======== Counter + Sorted + Slicing ========")
from collections import Counter
def winner(input):
votes = Counter(input)
dic = {}
# output : {4: [], 2: [], 3: []}
for value in votes.values():
dic[value] = []
# output : ... | dilipksahu/Python-Programming-Example | Dictionary Programs/findElectionWinner.py | findElectionWinner.py | py | 1,507 | python | en | code | 0 | github-code | 1 |
4517271354 | # Допустим, что self. labell и self. label2 ссылаются на два элемента интерфейса Label.
# Напишите фрагмент кода, который упаковывает эти два элемента таким образом, чтобы
# они были расположены в своем родительском элементе интерфейса максимально слева.
import tkinter
class MyGUI:
def __init__(self):
se... | su1gen/python-homework | lesson08HW/task02.py | task02.py | py | 957 | python | ru | code | 0 | github-code | 1 |
3294429630 | import time
from matplotlib import pyplot as plt
from util import make_random
import algorithms
class Config:
SORTING_ALGORITHMS = algorithms.__all__
# SORTING_ALGORITHMS = [algorithms.bubble_sort, algorithms.insertion_sort, algorithms.selection_sort, algorithms.merge_sort, algorithms.quick_sort]
NUM_RA... | michael-lesirge/intermediate-programming-class | sorting/time_complexity_graph.py | time_complexity_graph.py | py | 1,565 | python | en | code | 0 | github-code | 1 |
39925854328 | from tkinter import *
from tkinter import ttk
class MyApp(Tk):
def __init__(self):
super().__init__()
self.geometry('950x500+100+100')
self.NewTree = []
label = Label(self,text='Table with some data', font=("Arial Bold", 25))
label.pack()
self.addLi... | vytautasmatukynas/Python-Random-Learning-Testing | DESKTOP_DEV/tkinter/test_add_entryboxes_tk.py | test_add_entryboxes_tk.py | py | 2,675 | python | en | code | 0 | github-code | 1 |
31980288440 | from django.urls import path
from . import views
app_name = 'pages'
urlpatterns = [
path('', views.index, name='index'),
path('fare/', views.fare, name='fare'),
path('about-us/', views.about, name='aboutus'),
path('contact-us/', views.contactus, name='contactus'),
path('complaints/', views.complai... | saidulroney/nuist-pms | pages/urls.py | urls.py | py | 347 | python | en | code | 0 | github-code | 1 |
29591673257 | #
# Author: Dillon Barr
# Description: This program takes user input and builds
# a neubulon ship to the desired length and layers.
largeLayers = int(input("Large Layers on bottom: \n"))
mediumLayers = int(input("Medium Layers on bottom: \n"))
smallLayers = int(input("Small Layers on bottom: \n"))
frontLe... | DIllon-bot5000/CSC110-Projects | nebulon.py | nebulon.py | py | 1,761 | python | en | code | 0 | github-code | 1 |
6160180783 | class NewAlbum:
def leastAmountOfCDs(self, nSongs, length, cdCapacity):
canFill = cdCapacity / (length + 1)
while (canFill + 1) * length + canFill <= cdCapacity:
canFill += 1
if canFill % 13 == 0:
canFill -= 1
dp = [0 for x in range(nSongs+1)]
for i in range(1, nSongs+1):
canTry = min(i, canFill)
... | yabincui/topcoder | dp/NewAlbum.py | NewAlbum.py | py | 487 | python | en | code | 0 | github-code | 1 |
34541456179 | import praw
import gspread
from oauth2client.service_account import ServiceAccountCredentials
import bmemcached
import re
import time
import os
import json
import threading
ARTIST_COL = 0
ALBUM_COL = 1
SCORE_COL = 2
SUBREDDITS = 'fantanoforever+hiphopheads'
COMMAND = re.compile('!fantanobot (.*)', re.IGNORECASE)
U... | itsjackgardner/FantanoBot | responder.py | responder.py | py | 5,602 | python | en | code | 0 | github-code | 1 |
43513383768 | '''
剑指 Offer 07. 重建二叉树
输入某二叉树的前序遍历和中序遍历的结果，请重建该二叉树。假设输入的前序遍历和中序遍历的结果中都不含重复的数字。
例如，给出
前序遍历 preorder = [3,9,20,15,7]
中序遍历 inorder = [9,3,15,20,7]
返回如下的二叉树：
3
/ \
9 20
/ \
15 7
'''
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# ... | km1994/leetcode | topic13_tree/offer07_buildTree/interview.py | interview.py | py | 3,102 | python | zh | code | 24 | github-code | 1 |
8594332187 | ## The descriptor checksum functions are taken from Andrew Chow's repository
## Thanks Andrew <3
## https://github.com/achow101/output-descriptors
def PolyMod(c, val):
c0 = c >> 35
c = ((c & 0x7ffffffff) << 5) ^ val
if (c0 & 1):
c ^= 0xf5dee51989
if (c0 & 2):
c ^= 0xa9fdca3312
if (c... | PulpCattel/Spawn | advanced/watch_only.py | watch_only.py | py | 2,306 | python | en | code | 2 | github-code | 1 |
22352902088 | # a case has a number of stones, value a and value b
class Case:
def __init__(self, number_of_stones, a, b):
self.number_of_stones = number_of_stones
self.a = a
self.b = b
def find_last_stones(self):
result = []
# we already have the first stone which is always 0
... | gianglp/hackerrank | manasastones/src/Solution.py | Solution.py | py | 1,766 | python | en | code | 0 | github-code | 1 |
17125680639 | '''
Author: Theo_hui
Date: 2021-08-17 10:18:10
Descripttion:
'''
#
# @lc app=leetcode.cn id=3 lang=python3
#
# [3] 无重复字符的最长子串
#
# @lc code=start
class Solution:
# 双指针 滑动窗口法
def lengthOfLongestSubstring(self, s: str) -> int:
res,left,c_dicts = 0,-1,{} #结果 左指针 字符最右下标
for right,c in enumerate(s)... | HTmonster/LeetcodeRepo | Codes/003_lengthOfLongestSubstring/3.无重复字符的最长子串.py | 3.无重复字符的最长子串.py | py | 778 | python | zh | code | 0 | github-code | 1 |
28096738039 | import requests
from text2speech.modules import RemoteTTS, TTSValidator
class MaryTTS(RemoteTTS):
PARAMS = {
'INPUT_TYPE': 'TEXT',
'AUDIO': 'WAVE_FILE',
'OUTPUT_TYPE': 'AUDIO'
}
def __init__(self, config=None):
config = config or {"lang": "en-us",
... | HelloChatterbox/text2speech | text2speech/modules/mary_tts.py | mary_tts.py | py | 2,017 | python | en | code | 2 | github-code | 1 |
16572439195 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
sns.set(style="whitegrid")
sns.set_context("paper", font_scale=1.5)
# read entire results
data = pd.read_csv("../CSV/jmh-result.csv")
# filter Benchmarks
data = data.loc[data['Benchmark'].str.contains("OneShot")]
# names ar... | huti26/project-loom-analysis | Plots/Seaborn/JMH/Scripts/OneShot-stackDepths-as-columns.py | OneShot-stackDepths-as-columns.py | py | 1,252 | python | en | code | 0 | github-code | 1 |
8404044280 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Класс управления картой 2GIS.
"""
import jinja2
from . import double_gis_util
from ic.utils import extfunc
__version__ = (0, 1, 1, 1)
# Шаблон результирующего HTML документа
HTML_TEMPLATE = '''<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
... | XHermitOne/defis3 | analitic/analitic/double_gis/double_gis_map.py | double_gis_map.py | py | 5,543 | python | ru | code | 0 | github-code | 1 |
36390024180 | import os
import numpy as np
import torch
import torch.utils.data as data
from torch.utils.tensorboard import SummaryWriter
from torchvision import transforms
from tqdm.notebook import tqdm
from dataset import MolecularDataset
from pointnet import PointNetCls
writer = SummaryWriter()
# hyper parameters
LR = 0.001... | HeatEnergists/PointNet | regression/train.py | train.py | py | 3,150 | python | en | code | 1 | github-code | 1 |
26661711808 | #!/usr/bin/env python3
""" Exemplo de funções """
"""
f(x) = 5 *x/2
"""
__version__ = "0.0.1"
__author__ = "Rafael Freitas"
__license__ = "Unlicense"
def f(x):
return 5 * (x/2)
print(f(10))
print(f(10) == 25)
def double(x):
return x * 2
def print_in_super(text):
print(text.upper())
print_in_super(... | rafaelhfreitas/python_base | funcoes.py | funcoes.py | py | 902 | python | en | code | 0 | github-code | 1 |
10867699789 | import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from sklearn.cluster import KMeans
df = pd.read_csv('dataset.csv')
X = np.array(df)
c_x = np.array([0.1,0.3])
c_y = np.array([0.6,0.2])
centroids = np.array(list(zip(c_x,c_y)))
print(centroids)
model = KMeans()
model.fit(X, centroids)
pl... | yogeshwarram/LP3-2 | Kmeans.py | Kmeans.py | py | 491 | python | en | code | 0 | github-code | 1 |
10220722502 | import types, sys
from . import termcap
# somewhat arbitrary to look at stdout, but that's what the log module uses
if sys.stdout.isatty():
class Module(types.ModuleType):
def __init__(self):
self.__file__ = __file__
self.__name__ = __name__
self.num_colors = termcap.get... | 17twenty/pwntools | pwnlib/term/text.py | text.py | py | 2,775 | python | en | code | null | github-code | 1 |
11344865437 | from itertools import permutations
import math
# 소수 판별 함수
def is_prime_number(x):
if x < 2:
return False
for i in range(2, int(math.sqrt(x)) + 1):
if x % i == 0:
return False
return True
def solution(numbers):
answer = set()
for length in range(1, len(numbers) + 1):
... | CHOJUNGHO96/algorithm | 프로그래머스_고득점kit/완전탐색/2단계_소수찾기2.py | 2단계_소수찾기2.py | py | 560 | python | en | code | 0 | github-code | 1 |
33499976948 | import numpy as np
import pandas as pd
from scoit import sc_multi_omics
import time
def load_data():
expression_data = pd.read_csv("data/PEA_STA/expression_data.csv", index_col=0)
protein_data = pd.read_csv("data/PEA_STA/protein_data.csv", index_col=0)
cell_stage = np.array(pd.read_csv("data/PEA_STA/cell_s... | deepomicslab/SCOIT | examples/case_studies/PEA_STA_analysis.py | PEA_STA_analysis.py | py | 1,299 | python | en | code | 2 | github-code | 1 |
71015673315 | # Title: 원영이는 ZOAC과 영원하고 싶다
# Link: https://www.acmicpc.net/problem/16723
import sys
import math
sys.setrecursionlimit(10 ** 6)
read_single_int = lambda: int(sys.stdin.readline().strip())
def solution(n: int):
s = 0
bin_num = bin(n)[2:]
sums = [2, 4]
for i in range(2, len(bin_num... | yskang/AlgorithmPractice | baekjoon/python/wonyoung_want_to_be_with_zoac_forever_16723.py | wonyoung_want_to_be_with_zoac_forever_16723.py | py | 1,182 | python | en | code | 1 | github-code | 1 |
72111655074 | import re
import math
#File input helpers
def pretty_print_answer(part, answer):
print('Answer to part {num}: {ans}'.format(num=part, ans=answer))
def read_lines(file_name, is_strip=True):
file = open(file_name)
lines = [s for s in file.readlines()]
file.close()
if is_strip:
lines = [s.str... | akaps/advent_of_code | utils.py | utils.py | py | 1,577 | python | en | code | 0 | github-code | 1 |
22504405759 | import sys
from collections import deque
input = sys.stdin.readline
d = [(-1, 0), (1, 0), (0, -1), (0, 1)]
def dfs(r, c, llst):
global max_
if lst[r][c] not in llst:
llst.add(lst[r][c])
for dr, dc in d:
nr = r + dr
nc = c + dc
if 0 <= nr < R and 0 <= nc... | Kminwo-o/BaekJoon-Algorithm | 백준/Gold/1987. 알파벳/알파벳.py | 알파벳.py | py | 637 | python | en | code | 0 | github-code | 1 |
72799954595 | import unittest
from django.contrib.auth.models import User
from django_reputation.models import (Reputation, ReputationAction, UserReputationAction,
Permission, ReputationContent)
import django_reputation.config as config
from django_reputation.decorators import ReputationRequire... | genghisu/eruditio | eruditio/shared_apps/django_reputation/tests.py | tests.py | py | 6,802 | python | en | code | 0 | github-code | 1 |
72115275875 | """Misc Migration."""
from masoniteorm.migrations import Migration
class Misc(Migration):
def up(self):
"""
Run the migrations.
"""
with self.schema.create("miscs") as table:
table.increments("id")
table.string("misc_name")
table.string("misc_im... | knguyen111601/TINKER_Backend | databases/migrations/2021_12_09_073254_Misc.py | 2021_12_09_073254_Misc.py | py | 505 | python | en | code | 1 | github-code | 1 |
33520509892 | import os
import sys
import time
import pytest
def test_modules():
topdir = os.path.dirname(__file__)
for dirpath, _, filenames in os.walk(topdir):
for fname in filenames:
if _is_test_module(fname):
yield os.path.join(dirpath, fname)
def _is_test_module(fname):
return... | robotframework/RIDE | utest/time_tests.py | time_tests.py | py | 1,321 | python | en | code | 910 | github-code | 1 |
27701560902 | import json
import argparse
from typing import Text, Dict, List
def render_embedding(active: List[int], height: int, width: int) -> None:
for row in range(height):
print("|", end="")
for col in range(width):
i = row * width + col
print("X" if i in active else " ", end="")
... | RasaHQ/semantic-map-embedding | scripts/view_smap.py | view_smap.py | py | 1,651 | python | en | code | 0 | github-code | 1 |
6908770297 | import json
from django.http import HttpResponse
from django.shortcuts import render
from django.template.loader import render_to_string
from django.views.decorators.csrf import csrf_exempt
from django.views.generic.base import View
from hipsterboard.board.models import Player
from hipsterboard.board.models import It... | Olivia5k/hipsterboard | hipsterboard/board/views.py | views.py | py | 1,530 | python | en | code | 0 | github-code | 1 |
27211792693 | from generic.object import Object
class NapsterTrackQuality(Object):
@staticmethod
def from_raw_data(raw_data):
# qualities = [
# {}
# ]
track_qualities = []
for quality in raw_data['formats']:
track_qualities.append('{}_{}'.format(quality['name'].split... | KGTasa/chimera | napster/track_quality.py | track_quality.py | py | 667 | python | en | code | 18 | github-code | 1 |
20248326794 | import os
import h3.api.numpy_int as h3
import numpy as np
from scipy import stats
from grids_toolbox import H3Grids
from indicator_toolbox import Indicator, dist_unit_converter
class ProximityIndicator(Indicator):
def __init__(self, H3, name='proximity', Table=None):
super().__init__(H3, name, Table)
... | csl-hcmc/SaiGon-Peninsula | Software/L3_SZ_CityScope-cw_dev/backend/proximity_indicator.py | proximity_indicator.py | py | 8,841 | python | en | code | 2 | github-code | 1 |
21099703898 | # coding: utf8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from copy import deepcopy
import gc
gc.enable()
import time
import numpy as np
from pyensemble.utils_const import DTY_FLT, DTY_BOL, GAP_MID, GAP_INF
#==================================
# \ci... | eustomaqua/PyEnsemble | pyensemble/pruning/optimization_based/DREP.py | DREP.py | py | 3,875 | python | en | code | 8 | github-code | 1 |
8249401658 | import inspect
import types
__all__ = ["aliases", "expose", "make_callable", "AWSpiderPlugin"]
EXPOSED_FUNCTIONS = {}
CALLABLE_FUNCTIONS = {}
MEMOIZED_FUNCTIONS = {}
FUNCTION_ALIASES = {}
def aliases(*args):
def decorator(f):
FUNCTION_ALIASES[id(f)] = args
return f
return decorator
def ... | wehriam/awspider | awspider/plugin.py | plugin.py | py | 2,859 | python | en | code | 19 | github-code | 1 |
75249726112 |
# coding: utf-8
# In[4]:
import sys
get_ipython().system('{sys.executable} -m pip install tweepy')
#Import the necessary methods from tweepy library
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
#Variables that contains the user credentials to access Twitter... | hameedmf/news_app | TwitterExtraction.py | TwitterExtraction.py | py | 1,245 | python | en | code | 0 | github-code | 1 |
39726016923 | SRCLANGUAGES = {
'Afrikaans': 'afr',
'Amharic': 'amh',
'Arabic': 'ara',
'Assamese': 'asm',
'Azerbaijani': 'aze',
'Belarusian': 'bel',
'Bengali': 'ben',
'Tibetan': 'bod',
'Bosnian': 'bos',
'Breton': 'bre',
'Bulgarian': 'bul',
'Catalan; Valencian': 'cat',
'C... | Shin-Hansol/TheMenu | server/TheMenu/sourceLanguage.py | sourceLanguage.py | py | 2,562 | python | ne | code | 0 | github-code | 1 |
36921040940 | import requests, os, json, time, argparse, threading, urllib
from bs4 import BeautifulSoup
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
def create_job(result):
from pandas.io.json import json_normalize
try:
address = result['jobLocation']['address']['addressLocali... | sdf94/jobsearchtool | jobsearch/jobsearch/glassdoor.py | glassdoor.py | py | 3,299 | python | en | code | 0 | github-code | 1 |
18325913004 | #import dependencies
import csv
from ctypes import cast
import os
#declare variables
candidate =[]
diana_votes = 0
raymon_votes =0
caspar_votes=0
total = 0
#set path to csv
path = os.path.join('Resources','election_data.csv')
output_path = os.path.join('analysis','output.txt')
#loop through file
with open(path) as cs... | joshuasamuel4825/python-challenge | PyPoll/main.py | main.py | py | 2,423 | python | en | code | 0 | github-code | 1 |
13734252379 | # -*- coding: utf-8 -*-
from django.db import models, migrations
import accounts.models
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('base', '0001_initial'),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
... | domino14/Webolith | djAerolith/accounts/migrations/0001_initial.py | 0001_initial.py | py | 1,684 | python | en | code | 32 | github-code | 1 |
36250660749 | def prime_search():
# N의 최대 수는 1000이므로 리스트의 갯수는 1001개 까지 생성해야한다.
prime = [False, False] + [True] * 999
for i in range(2, int(1001 ** 0.5) + 1):
if prime[i]: # 소수일 때, 그 수의 배수는 모두 False 로 변환
for j in range(i * i, 1001, i):
prime[j] = False
r... | Choisiz/coding-test-Team | 김정호/소수 찾기/소수 찾기.py | 소수 찾기.py | py | 513 | python | ko | code | 0 | github-code | 1 |
74394572512 | from launch_ros.actions import Node
from launch.actions import DeclareLaunchArgument, ExecuteProcess
from launch import LaunchDescription
from launch.substitutions import LaunchConfiguration, FindExecutable
from launch.conditions import IfCondition
"""@brief Generate the launch descriptions for ROS
"""
def generate_la... | lorocks/beginner_tutorials | src/cpp_pubsub/launch/cpp_launch_bag.py | cpp_launch_bag.py | py | 1,474 | python | en | code | 0 | github-code | 1 |
2712157705 | import glob
import os
input_script = '/scratch/users/anniz44/scripts/covid/SNPcalling/'
def time_sec(realtime):
timeinsec = 0
if 'h' in realtime:
timeinsec += float(realtime.split('h')[0])*360
realtime = realtime.split('h')[1]
if 'm' in realtime:
timeinsec += float(realtime.split('m... | caozhichongchong/covid_finder | bin/timecovsum.py | timecovsum.py | py | 1,776 | python | en | code | 0 | github-code | 1 |
30211460192 | import pytest
import src.message as message
class TestMessage:
def test_create_message(self):
message_obj = message.Message()
assert message_obj.channel == ""
assert message_obj.text == ("Category\n"
">%s\n"
"Summarized article sent to Google NLP\n"... | smile-eh/unnamed-slack-nlp-bot | tests/test_message.py | test_message.py | py | 707 | python | en | code | 0 | github-code | 1 |
12017136703 | # 연결리스트의 구현
class Node:
def __init__(self,data):
self.data = data
self.link = None
def print_nodes(start):
current = start
if current.link == None:
# print("원형 연결 리스트의 마지막 노드입니다.")
return
print(current.data, end=" ")
while current.link != start:
current = cu... | swm9283/Data_Structure | DataStructure/chapter05_circular_linked_list.py | chapter05_circular_linked_list.py | py | 2,352 | python | ko | code | 1 | github-code | 1 |
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