blob_id stringlengths 40 40 | language stringclasses 1
value | repo_name stringlengths 5 133 | path stringlengths 2 333 | src_encoding stringclasses 30
values | length_bytes int64 18 5.47M | score float64 2.52 5.81 | int_score int64 3 5 | detected_licenses listlengths 0 67 | license_type stringclasses 2
values | text stringlengths 12 5.47M | download_success bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|
69a33aea15566621a5ffc1ac28d4fa08db97cdd7 | Python | gabriellaec/desoft-analise-exercicios | /backup/user_188/ch9_2019_04_04_22_16_24_603709.py | UTF-8 | 214 | 3.25 | 3 | [] | no_license | def lista_sufixos(frase):
lista = []
contador = len(frase) - 1
soma = ""
while contador >= 0 :
soma += frase[contador]
lista.append(soma[::-1])
contador -= 1
return lista | true |
b6f21a9664406de1e2e5d113393b51ee97f849f9 | Python | bridge-ai-inc/pymc | /other_files/multiproc_test2.py | UTF-8 | 1,370 | 2.96875 | 3 | [] | no_license | import os
import pandas as pd
from multiprocessing import Process, current_process
# Change to dir containing matlab code, c code and data
path_data = './src_data'
os.chdir(path_data)
MAX_NUM_CORES_TO_USE = 6
def mc_simulation(name):
d = os.system('./mcxyz ' + name)
print('simulating tissue ' + name)
p... | true |
345d2673e844c49c3b4a7d22a0aa8db557ca1ec0 | Python | PritKalariya/Python-practice-problems-and-exercises | /The Basics - Loops/Loop over colors.py | UTF-8 | 142 | 4.15625 | 4 | [] | no_license | # Loop over the color items and print out the item in every loop
colors = [11, 34, 98, 43, 45, 54, 54]
for color in colors:
print(color) | true |
85fb3bfa733d9ec10a1558a9de1f18360112e9dc | Python | tre3x/FloodScraper | /glidenumber/desc.py | UTF-8 | 3,582 | 2.640625 | 3 | [
"MIT"
] | permissive | import os
from sys import platform
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.firefox.options import Options
def descriptionscrap(cont, startdate, endda... | true |
c147896730babcd0a5b06475091d1506d5059995 | Python | momennezhad/Web-Projects | /samples-server-master/startup.py | UTF-8 | 1,028 | 3.03125 | 3 | [] | no_license | #
# MDN Sample Server
# Start up samples as needed.
#
import os
import sys
import subprocess
#
# startService
#
# Given a path, start up the service contained in that directory.
# This is done by running the "startup.sh" script in each directory.
# The bash shell is used.
#
def startService(path):
print("Starting s... | true |
7490d1ec897c07e7309628013f4a23d371472a2c | Python | benhoyle/benhoyle.github.io-src | /content/notebooks/title_generation/cb_model.py | UTF-8 | 5,380 | 3.21875 | 3 | [] | no_license | """This module contains a class to model a sequence to sequence
model based on blogposts from Chollet and Brownlee
"""
from base_seq2seq import SharedGlove
import numpy as np
from keras.models import Model
from keras.layers import Input, LSTM, Dense, Embedding
def sample(preds, temperature=1.0):
""" Helper funct... | true |
f30304c408069fdfaa8ee045995f64b672937209 | Python | HuangXiongjin/python_study | /python基础/2.变量和运算符/code/example.py | UTF-8 | 171 | 2.765625 | 3 | [] | no_license | """---author==hxj"""
summation = 0
num = 1
while num <= 100:
if (num % 3 == 0 or num % 7 == 0) and num % 21 != 0:
summation += 1
num += 1
print(summation)
| true |
e16fad02d74b281a29d0856c174c03dfc3a28c35 | Python | RHAF05/python-exercise | /files.py | UTF-8 | 456 | 3.09375 | 3 | [] | no_license | def read():
numbers = []
with open('./files/numbers.txt','r',encoding='UTF-8') as f:
for line in f:
numbers.append(int(line))
print(numbers)
def write():
names = ["Mi mujé", "Puto amo", "Kembarquiladiva"]
with open("./files/names.txt","w", encoding="UTF-(") as f:
for na... | true |
a1ad2862d9dcf82d38da895baa296937e83fdb72 | Python | YousefYA/Blue-teaming | /ARP_Detector.py | UTF-8 | 1,214 | 2.6875 | 3 | [] | no_license | from termcolor import colored
import os
import winsound
import pyfiglet
def get_mac(ip):
arp = scapy.ARP(pdst = ip)
broadcast = scapy.Ether(dst = 'ff:ff:ff:ff:ff:ff')
packet = broadcast/arp
answered = scapy.srp(packet , timeout = 1 , verbose = False)[0]
return answered[0][1].hwsrc
def ... | true |
266edb321dac83546555c55312f593c624aeb41e | Python | lbmendes/lucas-api | /sync.py | UTF-8 | 561 | 2.8125 | 3 | [
"Unlicense"
] | permissive | import asyncio
sleep = asyncio.sleep
async def fazer_burguer(senha, n):
print(f'Fazendo burguer {n} para cliente {senha}')
await sleep(2)
return b"[|O]"
async def app(scope, receive, send):
await send({'type': 'http.response.start', 'status': 200})
senha = scope.get('path')
burguer1 ... | true |
104033cb80fa702194ff28f468ea4f9ca0a52bbd | Python | gongjiqin/Data_Engine_SVW | /Action/Action2.py | UTF-8 | 592 | 3.359375 | 3 | [] | no_license | import pandas as pd
from pandas import DataFrame
df = DataFrame(data={'语文': [68, 95, 98, 90, 80], '数学': [65, 76, 86, 88, 90], '英语': [30, 98, 88, 77, 90]},
index=['张飞', '关羽', '刘备', '典韦', '许诸'], columns=['语文', '数学', '英语'])
# print(df.describe())
print(df)
print('平均成绩：', '\n', df.mean())
print('最小成... | true |
480b5868f82c55f4841e8cd3772b8f6af8b9f930 | Python | aamanrebello/Burner-Controller-Software | /Remote/ML/multiple_regression.py | UTF-8 | 6,977 | 3.453125 | 3 | [] | no_license | from sklearn import linear_model
from sklearn.metrics import r2_score
from sklearn.preprocessing import StandardScaler
import pandas as pd
import os
from math import sqrt
# MR_predictor: This class is used to predict the required gas aperture size using multiple regression with
# the relevant variables i.e. supply p... | true |
0964f0d5d46ac0777492ada895df66bdde5b8aeb | Python | d-millard/rec-rep | /FUNDEMENTALS/Module 7/encrypt_exercise.py | UTF-8 | 4,512 | 3.5 | 4 | [] | no_license | from random import random as ran
import os
def run():
"""
Main function for program.
Brings together files, all symbols, the unicode hexadecimal, and the key.
"""
while True:
try:
user_data = user_file("Please enter a valid file name you would like to encrypt: ")
... | true |
d138de0b5aceea3240a4034dbdd3124293dcd8a1 | Python | H33525/Check-your-age | /Check your age.py | UTF-8 | 101 | 3.5 | 4 | [] | no_license | birth_year=input("What year were you born? ")
age=2019- int (birth_year)
print(f'your age is:{age}) | true |
fb62fc532090e7e052ae2cb05d7a6c69367e47d3 | Python | codycollier/netropy | /test/functional/test_beacon.py | UTF-8 | 3,055 | 3.0625 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
import unittest
import beacon
class TestBeacon(unittest.TestCase):
def setUp(self):
unittest.TestCase.setUp(self)
# this is the standard frequency in the nist beacon right now
self.frequency = 60
def tearDown(self):
unittest.TestCase.tearDown(self)
... | true |
fa47353914dc0382149b5649a394e42c13add927 | Python | i-cluster/Study | /1014_지뢰찾기.py | UTF-8 | 1,362 | 3.171875 | 3 | [] | no_license | # SWEA 1868
import sys
sys.stdin = open('sample.txt', 'r')
d = [0, 1, -1, 1, 1, 0, -1, -1, 0]
for tc in range(1, int(input())+1):
n = int(input())
land = [list(input()) for _ in range(n)]
for i in range(n):
for j in range(n):
if land[i][j] == '*':
for k in range(8):
... | true |
0d8c0466e8530db41a27ffb62ac9e0f89c769ded | Python | abbhowmik/PYTHON-Course | /chapter 9.py/09_pr.py | UTF-8 | 205 | 3.34375 | 3 | [] | no_license |
with open('this.rb') as f:
content1 = f.read()
with open('copy.rb') as f:
content2 = f.read()
if content1 == content2:
print('Files are identical')
else:
print("Files are not identical")
| true |
db0c8c44a7228b5da1b2fb4add5c5e458f4e444f | Python | alexandremr01/MinesweeperAI | /single_evaluator.py | UTF-8 | 2,944 | 3.0625 | 3 | [] | no_license | import numpy as np
import random
from minesweeper_environment import MinesweeperEnvironment
from minesweeper import MinesweeperCore
from agents.csp import MinesweeperAgent
import matplotlib.pyplot as plt
import os
from agents.L4MSAgent import L4MSAgent
# This script runs an actor and evaluates it.
# Some PCs needed t... | true |
86bc5e5de9e76ce3440fea6a44803be1e2544064 | Python | ElementsProject/lightning | /tests/plugins/reject_odd_funding_amounts.py | UTF-8 | 1,005 | 2.828125 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
"""Simple plugin to test the openchannel_hook.
We just refuse to let them open channels with an odd amount of millisatoshis.
"""
from pyln.client import Plugin, Millisatoshi
plugin = Plugin()
def run_check(funding_amt_str):
if Millisatoshi(funding_amt_str).to_satoshi() % 2 == 1:
... | true |
2fdc4e5cf56b2f8cfaa5721354e05e8e0f71a87b | Python | kait-takanolab/1785005_tsukiji_slackAPI | /get_slacklog.py | UTF-8 | 1,401 | 2.734375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
#APIを使って対象のチャンネルのログをjson形式で取得するプログラム
import sys,codecs,json
from slacker import Slacker
# API token tokenが入ったファイルの読み込みをして取得(セキュリティ回避)
token = codecs.open("../slackapi_token.txt", "r","utf-8")
# 対象のチャンネル名
# general:C0J8KM6KF
# 2017-sotsuken:C18JT8ZNY
# report:C0XMH9F0Q
# master-chat:C4W2R... | true |
fc1f69b9d76c198781c672c41da57090bd9b8d83 | Python | IlkoMihov/411-Project | /app.py | UTF-8 | 13,527 | 2.53125 | 3 | [] | no_license | # coding: utf-8
from flask import Flask
from flask import g, session, request, url_for, flash
from flask import redirect, render_template
from flask_oauthlib.client import OAuth
from get_tweets import getTweet
import random
app = Flask(__name__)
app.debug = True
app.secret_key = 'cs411'
oauth = OAuth(app)
# twitte... | true |
c00136eaa870cca58a469264366dbdf4494be3ee | Python | zukerr/method-of-war | /MethodOfWar/method_of_war/ui/persistent_ui/units_view.py | UTF-8 | 2,082 | 3.046875 | 3 | [] | no_license | from mini_engine.ui import border_rect
from mini_engine.ui.a_view import *
class UnitsView(View):
__maxUnitTypes: int = 11
__currentY: int = 240
__elementHeight: int = 24
__currentElementCount: int = 0
__unitsDict: dict
def updateUnits(self, unitsDict: dict):
self.drawView()
s... | true |
223bf148b1b9c7aa005b0369f7f2c61a4a5dac9b | Python | st4rck19981/Topicos-Grafica | /INDIVIDUAL/Jeferson Poma/BitwiseMascara.py | UTF-8 | 615 | 2.734375 | 3 | [] | no_license | import cv2
import numpy as np
image=cv2.imread('image4.jpg')
person=cv2.imread('perfil.jpg')
person=cv2.resize(person,(400,400),interpolation=cv2.INTER_CUBIC)
T=np.float32([[1,0,550],[0,1,50]])
person=cv2.warpAffine(person,T,(1000,500))
mask=np.zeros((500,1000),dtype=np.uint8)
mask=cv2.circle(mask,(750,25... | true |
bea48a2c75e711275dbf093af4b1fada11b34b0e | Python | tvarney/dotnet-nrbf-deserializer | /dotnet/io/base.py | UTF-8 | 1,139 | 2.765625 | 3 | [
"MIT"
] | permissive |
from abc import ABC, abstractmethod
import dotnet.exceptions as exceptions
import typing
if typing.TYPE_CHECKING:
from typing import IO
from dotnet.object import Instance
class Reader(ABC):
@classmethod
@abstractmethod
def binary(cls) -> bool:
raise exceptions.ClassMeth... | true |
08aa4a88d5998247bc3e2a128debb1454acaf50a | Python | leoflorov/python1 | /lesson_1_hw_easy.py | UTF-8 | 2,258 | 4.46875 | 4 | [] | no_license | __author__ = 'Флоров Леонид Сергеевич'
# Задача-1: Дано произвольное целое число (число заранее неизвестно).
# Вывести поочередно цифры исходного числа (порядок вывода цифр неважен).
# Подсказки:
# * постарайтесь решить задачу с применением арифметики и цикла while;
# * при желании решите задачу с применением цикла fo... | true |
396f0ae26b8def1c9ee692a3728b46cbccc6d44a | Python | ashishkr619/dukaan_main | /products/models.py | UTF-8 | 1,331 | 2.609375 | 3 | [
"MIT"
] | permissive | import uuid
from django.db import models
from stores.models import Store
class TimestampedModel(models.Model):
""" An abstract timestamp model when this object was
created or updated"""
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class... | true |
40f5a8b7bd0fbfedf416ec9251bdafd87a680510 | Python | souryou/py_excel | /excel.py | UTF-8 | 4,343 | 2.625 | 3 | [] | no_license | #!/usr/bin/python3
import openpyxl as xl
import tkinter as tk
from tkinter import filedialog
from tkinter.ttk import *
from tkinter import messagebox
title = "窗口标题"
window=tk.Tk()
window.title(title)
window.geometry("600x300")
fn = tk.StringVar()
startRow = tk.StringVar()
sheet_name = tk.StringVar()
tabShow = tk.Stri... | true |
1bf7d9c86dd3b7f35fa9deaa39fcbe593aeca01e | Python | dtbinh/15-112 | /hw8b.py | UTF-8 | 5,833 | 3.703125 | 4 | [] | no_license | # hw8.py
# Hanzhou Lu / hanzhoul / II
def isPrime(n, factor=2):
if (n < 2): return False
elif (factor*factor > n): return True
elif (n % factor == 0): return False
else: return isPrime(n, factor+1)
def countDigit(n):
if n == 0: return 0 #base case
return 1 + countDigit(n//10)
... | true |
5f8c9e445019dcb8edb4eee17bcb3d29a50a5de6 | Python | count-chocolatin/Ejem-Programation | /example c/class-example.py | UTF-8 | 416 | 3.421875 | 3 | [] | no_license | class Humano():
def __init__(self, edad, nombre, ocupacion):
self.edad = edad
self.nombre = nombre
self.ocupacion = ocupacion
def suma(self):
presentacion = self.edad + self.nombre + self.ocupacion
print(presentacion )
def resta(self):
... | true |
b80966f612e4d633657b3094fa2076e766e32846 | Python | aloverso/git-learning | /factorial.py | UTF-8 | 465 | 3.671875 | 4 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 15 15:35:02 2015
@author: aloverso & Luciano & sarahwalters
"""
# Calculates the factorial of a number
def factorial(n):
"""
Testing the factorial
>>> factorial(3)
6
>>> factorial(5)
120
"""
if n == 1: # base case
return 1
else... | true |
e3265ab75b1c31cf28b68180426e021caa169259 | Python | DanieleF98/Python_Exercises | /Esercizi Python/ex_08_05.py | UTF-8 | 1,029 | 3.953125 | 4 | [] | no_license | #Open the file mbox-short.txt and read it line by line. When you find a line that starts with 'From ' like the following line:
#From stephen.marquard@uct.ac.za Sat Jan 5 09:14:16 2008
#You will parse the From line using split() and print out the second word in the line
#(i.e. the entire address of the person who sent... | true |
176400286229b47f79c97b42310d7db5e93ee039 | Python | JimTheToaster/pvs-bot | /current-pvs.py | UTF-8 | 29,411 | 2.859375 | 3 | [
"MIT"
] | permissive | #!/usr/bin/python3
import asyncio
import discord
import requests
import id
client = discord.Client()
URL = {
'base': 'https://{proxy}.api.pvp.net/api/lol/{region}/{url}',
'summoner_by_name': 'v{version}/summoner/by-name/{names}',
'get_league': 'v{version}/league/by-summoner/{id}/entry',
'g... | true |
6b10bad5c4c7d57d377cd11192a70f0b6a712f9f | Python | ilijavucetic/AnomalyDetection | /SimulateTemperature/simulate_temperature.py | UTF-8 | 1,806 | 3.5 | 4 | [] | no_license | import calendar
from datetime import datetime, timedelta
import random
class SimulateTemperatures:
months = range(1, 12)
min_temperature = [1, 2, 6, 9, 13, 17, 20, 19, 16, 11, 6, 2]
max_temperature = [9, 11, 15, 19, 23, 28, 32, 32, 27, 21, 15, 10]
avg_temperature = []
offset = 2
humidity_mx... | true |
eaa9c5ede19214fb1fef994b1135020c3c3e421c | Python | vladiulianbogdan/MasterThesisVUB-Prediction-Using-Importance-Sampling | /Transition.py | UTF-8 | 3,370 | 2.921875 | 3 | [] | no_license | import re
import math
class Transition:
def __init__(self, tokens):
token = tokens.next_token()
match = re.match(r'--n(\d+)x(\d+)', token)
self.is_active = True
self.source = int(match.group(1))
self.transition_index = int(match.group(2))
self.target = Transition.co... | true |
c029e844a63865f4fde863fdf6431bcf339a67f4 | Python | mylog00/hadoopExamples | /streaming/tf_idf/inverseDocumentFrequencyReducer.py | UTF-8 | 860 | 2.796875 | 3 | [] | no_license | # Sample Input:
# aut 1;4;1
# aut 2;2;1
# bene 2;1;1
# de 2;1;1
# mortuis 2;1;1
# nihil 1;1;1
# nihil 2;1;1
# Caesar 1;1;1
# Sample Output:
# aut#1 4 2
# aut#2 2 2
# bene#2 1 1
# de#2 1 1
# mortuis#2 1 1
# nihil#1 1 2
# nihil#2 1 2
# Caesar#1 1 1
import sys
docTfList = []
lastWord = None
counter = 0
for line in sys.... | true |
cf9ffef0be6b1dcb50e101829c7fac0adc133293 | Python | elms1990/random_terrain | /heightmaps/terrain/terrain_converter.py | UTF-8 | 320 | 3.328125 | 3 | [] | no_license | class TerrainConverter:
def __init__(self):
self.intervals = []
def add(self, lower, upper, t, value):
self.intervals.append((lower, upper, t, value))
def get(self, value):
for x in self.intervals:
if value >= x[0] and value <= x[1]:
return (x[2], x[3])
| true |
462de88ace213e1b7c876d550ef8cb9b6d8ec694 | Python | jooo000hn/cetech | /scripts/loggrep.py | UTF-8 | 3,134 | 2.59375 | 3 | [
"CC0-1.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | #!/usr/bin/env python
""" CETech log grep
"""
###########
# IMPORTS #
########################################################################################################################
import argparse
import os
import sqlite3
import tabulate
from argparse import RawTextHelpFormatter
###########
# GLOBALS #
###... | true |
22ba33e53c4035a703db4701ced9715333b580a1 | Python | IrishPhone/decorators | /time.py | UTF-8 | 515 | 3.625 | 4 | [] | no_license | import time
NUM_RUNS = 10
def time_this(func):
def wrapp():
results = []
for i in range(NUM_RUNS):
t0 = time.time()
func()
t1 = time.time()
results.append(t1 - t0)
print("Average time for {0} passes is {1} s.".format(NUM_RUNS, sum(results) / ... | true |
40246a3fbe17bc1fbd970434a4993b5708d6397d | Python | seve-26/vincentvanbot | /vincentvanbot/fromtitle/train.py | UTF-8 | 1,559 | 2.6875 | 3 | [] | no_license | ### WORK IN PROGRESS! Currently not used by the api
"""This file trains a KNN model based on the output of vincentvanbot.fromtitle.data"""
import os
from sklearn.neighbors import NearestNeighbors
import joblib
from google.cloud import storage
from vincentvanbot.params import BUCKET_NAME
def train_model(joined_images... | true |
99bec785306398c6ac577acc4f5094fda651bfba | Python | mergeMingJ/boj_basic_algo | /배열/1475. 방 번호.py | UTF-8 | 394 | 3.140625 | 3 | [] | no_license | import sys
sys.stdin = open('input/1475.txt', 'r')
import math
room = list(str(input()))
check = {}
for i in range(10):
check[i] = 0
for n in room:
check[int(n)] += 1
count = math.ceil((check[6]+check[9])/2)
for i in range(10):
if i == 6 or i == 9:
pass
else:
if count >= check[i]:
... | true |
d2e9ef380cf4fbbf64c60488bb91a241d8ea51ec | Python | mairaminaks/Share-Study-Material | /index.py | UTF-8 | 12,328 | 2.921875 | 3 | [] | no_license | #import modules
from tkinter import *
import tkinter as tk
from tkinter import ttk
from tkinter import messagebox
from tkinter import filedialog
import sqlite3 as sq
import os
# Designing window for registration
def register():
global register_screen
register_screen = Toplevel(main_screen)
... | true |
0f0738122d20607f26711a17a2bd68dfc48d2ecb | Python | mzalota/crabs-video-analysis | /lib/data/CrabsData.py | UTF-8 | 7,885 | 2.6875 | 3 | [] | no_license | from __future__ import annotations
from typing import List, Dict
import pandas as pd
from datetime import datetime
from lib.FolderStructure import FolderStructure
from lib.common import Box
from lib.data.PandasWrapper import PandasWrapper
from lib.data.SeeFloor import SeeFloor
from lib.infra.DataframeWrapper import D... | true |
6639b32df872810ea31492795177713134804ac5 | Python | sz-o/Zadania-Ansta | /zadanie_2.py | UTF-8 | 542 | 3.21875 | 3 | [] | no_license | def brakujace_elementy(istniejace, n):
return [x for x in list(range(1, n + 1)) if x not in istniejace]
# Poniżej testy
def test_gdy_dodaje_pusta_liste_i_3_to_zwracana_jest_pelna_lista_od_1_do_3():
assert brakujace_elementy([], 3) == [1, 2, 3]
def test_gdy_dodaje_pusta_liste_i_4_to_zwracana_jest_... | true |
8d747c5f0c3da1ece46d578a567b73e68b26c014 | Python | dmitricus/SpamFilter | /db/models.py | UTF-8 | 2,352 | 2.609375 | 3 | [
"MIT"
] | permissive | import datetime
import os
from sqlalchemy import Column, Integer, String, BOOLEAN, BIGINT, INT, TEXT, FLOAT, DATE, ForeignKey, DateTime, VARCHAR, create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, sessionmaker
Base = declarative_base()
# заносим в БД спамме... | true |
9b8b26fc63d9a5aa1b6fc9f7a4796b83babbe110 | Python | kenilpatel/Analysis-of-search-algorithm | /RBTREE.py | UTF-8 | 10,250 | 2.90625 | 3 | [] | no_license | rootval=0
tree=None
class rbtree:
def __init__(self):
self.root=None
class rbnode:
def __init__(self,val,color="r",root=False):
self.key=val
self.left=None
self.right=None
self.parent=None
self.root=root
self.color=color
def print(self):
print(self.key,self.color,self.root)
def add... | true |
da2ce55c90d6890b1bdc8e7aae59a5fc0fc81bd5 | Python | manisha-217/Assignment4 | /set.py | UTF-8 | 71 | 2.765625 | 3 | [] | no_license | s1=set([6,8,0,6])
s2=set([9,4,0,7])
print(s1-s2)
print(s1&s2)
print(s)
| true |
d2da38e21dd1e00174cd9db340d892bb42b681cc | Python | shreyasandal05/HelloWorld | /files_and_directories.py | UTF-8 | 122 | 2.515625 | 3 | [] | no_license | from pathlib import Path
path = Path("ecommerce")
print(path.exists()) # o/p-True
path2 = Path("emails")
path2.rmdir()
| true |
5f24d7ccde81587dfc4e801d9a9f2c583f744a00 | Python | whitebumblebee/face-tracker-pyjs | /text.py | UTF-8 | 2,992 | 3.03125 | 3 | [
"MIT"
] | permissive | #!/usr/bin/python3.4
import pygame, sys
from core_funcs import *
from clip import clip
def load_font_img(path, font_color):
fg_color = (255, 0, 0)
bg_color = (0, 0, 0)
font_img = pygame.image.load(path).convert()
font_img = swap_color(font_img, fg_color, font_color)
last_x = 0
letter... | true |
b43d6aac36316d8809c43b2a3731014b416705cc | Python | Internet-SmokeAlarm/core | /dependencies/python/fmlaas/model/experiment.py | UTF-8 | 3,816 | 2.546875 | 3 | [] | no_license | from .db_object import DBObject
from .model import Model
class Experiment(DBObject):
def __init__(self,
id,
jobs,
hyperparameters,
current_job,
start_model,
current_model,
is_active):
""... | true |
3356677e47259861ece755c17f54a28e1df0bd05 | Python | super1337/Super1337-CTF | /questionnaire/management/commands/addquestions.py | UTF-8 | 679 | 2.609375 | 3 | [
"MIT"
] | permissive | from django.core.management.base import BaseCommand
from questionnaire.questions import questions
class Command(BaseCommand):
help = 'Adds the questions from input JSON file to Database.'
def add_arguments(self, parser):
parser.add_argument(
'--inputfile',
dest='inputfile',
... | true |
7e404edf8d302e33958be666039026385973d8dc | Python | junwei-wang/project-euler | /001-100/47/47.py | UTF-8 | 1,342 | 3.640625 | 4 | [
"MIT"
] | permissive | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from math import sqrt, ceil
def get_primes_under_n(num):
length = int(ceil(num/2.0))
sevie = [True] * length # 1, 3, 5, 7, ..., n-1
sevie[0] = False
# a number has at most one factor than its squre
sqr = int(ceil(sqrt(num)))
sqr_idx = (sqr+1)/2
... | true |
34debc2c97ad474a31cea95dd381be0cffe5bd97 | Python | arby1108/IntelliTrader | /Attention.py | UTF-8 | 8,204 | 2.765625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 2 19:09:10 2020
@author: RB
"""
import tensorflow as tf
import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import mean_squared_error
from datetime import datetime
from datetime import timedelta
impor... | true |
2493f97065589c464504567e24cd711f0dbee8a7 | Python | yordanovagabriela/Cinema-Reservation-System | /commands.py | UTF-8 | 3,010 | 2.796875 | 3 | [] | no_license | import sqlite3
class Commands:
OCCUPIED_SEAT = 'X'
def __init__(self, database):
self.connection = sqlite3.connect(database)
self.connection.row_factory = sqlite3.Row
self.cursor = self.connection.cursor()
def show_movies(self):
return self.cursor.execute("""SELECT movie... | true |
775f0e125adf801c2b6ae3bf3bb488a075153d3f | Python | samdfonseca/presentations | /airflow-custom-macros-talk/code/bigquery_weekend_example2.py | UTF-8 | 542 | 2.625 | 3 | [] | no_license | # Select from `proj.dataset.table1` when execution_date is a weekday,
# from `proj.dataset.table2` when execution_date is a weekend.
def determine_table(execution_date: pendulum.Pendulum) -> str:
if execution_date.weekday() >= 5:
return 'proj.dataset.table2'
return 'proj.dataset.table1'
with DAG(...,
... | true |
ea44747694bc6baff207b63d29875d0dbc48771c | Python | daren996/HCI_AI_Med | /Analysis/AnlyzNoRst.py | UTF-8 | 4,554 | 2.703125 | 3 | [] | no_license |
import Utils
import json
import matplotlib.pylab as plt
import numpy as np
import math
from collections import Counter
import csv
source_path = "../DataSet/"
data_set = "dial_no_rst.txt"
with open(source_path + data_set, "r") as in_file:
lines = in_file.readlines()
service_needed = Utils.findServices(lines)... | true |
730b5f47c49a785f5fbb42a8c16b8f6c78d59e96 | Python | jakovlev-fedor/tms_python_fedor_jakovlev | /02_lesson/08_conditional_operators.py | UTF-8 | 2,456 | 3.6875 | 4 | [] | no_license | """"""
"""
---------------------------------
1. Используя функцию > придумать:
3 примера когда результат будет равен True
3 примера когда результат будет равен False
"""
print('#01---------------')
print(100 > 1)
print(1000 > 100)
print(1 > 0.1)
print(1 > 100)
print(100 > 1000)
print(0.1 > 1)
print()
"""
----... | true |
7be137826000637cf30560c358f517bdac31d517 | Python | BeardedPlatypus/thesis-data | /scripts/light_exporter.py | UTF-8 | 6,640 | 3.375 | 3 | [] | no_license | import os
import bpy
from enum import Enum
# -----------------------------------------------------------------------------
# Supporting classes
class LightType(Enum):
"""
Enum representing the different possible options for light types.
"""
PointLight = 1
class Position(object):
... | true |
85234483ae32d59ee23afd03484258e76fd67601 | Python | sapnanil7/IOT_Projects | /firstdemo.py | UTF-8 | 159 | 2.875 | 3 | [] | no_license | print("This is our First Demonstration on Security using CV and IOT")
a=2+3
print(a)
print("Our First Project")
print("HEllo World")
print("HI")
print("Jio") | true |
dc2c4c9f0c1fabb637cddb20b76b3ddfce360773 | Python | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_97/556.py | UTF-8 | 335 | 2.796875 | 3 | [] | no_license | c, C = 0, int(input())
while c != C:
c += 1
A, B = input().split()
L = len(A)
a = len(set( (n,n[i:]+n[:i])
for n in map(str,range(int(A),int(B)+1))
for i in range(1,L)
if n<n[i:]+n[:i]<=B
))
print("Case #%d:" % c, a)
... | true |
f94219345fc4beaf95bc13209d31db914e4fade1 | Python | shincap8/holbertonschool-machine_learning | /supervised_learning/0x08-deep_cnns/test.py | UTF-8 | 229 | 2.9375 | 3 | [] | no_license | #!/usr/bin/env python3
con = 0
linesB = {hash(line) for line in open('intranet.txt')}
for line in open('output.txt'):
if hash(line) not in linesB:
print('line: {}'.format(con))
print('diferente')
con += 1
| true |
25ccd0ad8bd28b4f47715d0c94940b06cbd6bfc8 | Python | tetrismegistus/minutia | /exercises/guided_tutorials/advent17/16_1.py | UTF-8 | 1,284 | 3.25 | 3 | [] | no_license | def load_steps(filename):
with open(filename) as f:
file = f.read().strip('\n').split(',')
steps = []
for instruction in file:
step = [instruction[0]] + instruction[1:].split('/')
steps.append(step)
return steps
def spin(string, number):
index = -(number % ... | true |
e84a4efc0de6f36494c6a9e9f2c9a47072f5cbcd | Python | Eric-Wonbin-Sang/CS110Manager | /2020F_hw5_submissions/liethan/ethanlip95.py | UTF-8 | 501 | 4.09375 | 4 | [] | no_license | #1
def numberlist():
ui = input("Enter a list of numbers. Please put a space between each number ")
List = list(int(num) for num in ui.strip().split())
for i in range(len(List)):
List[i] = List[i] ** 2
print(List)
numberlist()
#2
def numberlist2():
print("\n")
ui2 = input("Enter a list ... | true |
28ca058acf45ea186c624619a162f4a683333f1f | Python | Conan1985/facial-landmarks | /facial_landmarks.py | UTF-8 | 1,125 | 2.59375 | 3 | [] | no_license | from imutils import face_utils
import argparse
import imutils
import dlib
import cv2
argsParser = argparse.ArgumentParser()
argsParser.add_argument("-p", "--shape-predictor", required=True)
argsParser.add_argument("-i", "--image", required=True)
args = vars(argsParser.parse_args())
detector = dlib.get_frontal_face_de... | true |
a4aea4af7c467cc9258c8aa2694bd1e8e9c5caad | Python | pereverges/EXC-MapReduce-using-Hadoop-Streaming | /task3/combiner2.py | UTF-8 | 1,026 | 3.578125 | 4 | [] | no_license | #!/usr/bin/env python2
# Combiner in: [decade:int|genre:str|averageRating:float|primaryTitle:str] out: [decade:int|genre:str|averageRating:float|primaryTitle:str] [decade:int|genre:str|title:str]
import sys
last_decade = None
last_genre = None
# Since the input comes ordered we ouput the best title of each genre and ... | true |
144be9caf117e0b1464e6b2be369a789a18f836b | Python | bschweiz/codewars | /python/unique_in_order.py | UTF-8 | 216 | 3.171875 | 3 | [] | no_license | # my solution
def unique_in_order(iterable):
unique = []
for i in iterable:
if len(unique) < 1 or i != unique[len(unique) - 1]:
unique.append(i)
return unique
| true |
a62309cb3906eaa1c35ce6a653f9d47cc14c9643 | Python | manno23/Discrete-Optimisations | /coloring/colouring.py | UTF-8 | 5,520 | 2.84375 | 3 | [] | no_license | #!/usr/bin/python
# -#- coding: utf-8 -*-
from ortools.constraint_solver import pywrapcp
def readData(input_data):
# Read in the file
lines = input_data.split('\n')
first_line = lines[0].split()
node_count = int(first_line[0])
edge_count = int(first_line[1])
edges = []
for i in range(1... | true |
5528fc0a757fd6428aa8c9c076cbc1dadbaa2df7 | Python | Kurolox/AdventOfCode17 | /Python/12/part2.py | UTF-8 | 600 | 3.1875 | 3 | [] | no_license | def check_childrens(node):
"""Check each clild of a node."""
for child in id_dict[node]:
if child not in zero_list:
zero_list.append(child)
check_childrens(child)
id_dict = {}
group_list = []
with open("input") as the_input:
for line in the_input:
id_dict[int(line.... | true |
c3188ec12412f2e86807751330af87dd9c8266fd | Python | bhumadhi/MyPythonFolder | /Queue.py | UTF-8 | 1,849 | 4.1875 | 4 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri May 3 10:39:48 2019
@author: bhuwan.madhikarmi
"""
"""Make a Queue class using a list!
Hint: You can use any Python list method
you'd like! Try to write each one in as
few lines as possible.
Make sure you pass the test cases too!"""
class Element(object):
... | true |
b6ce2652ee9fb01a7a06c25338b5c0adbe1081fa | Python | RemcoWalsteijn/PythonCursusBlok1 | /PythonLes5/pe5_5.py | UTF-8 | 231 | 3.375 | 3 | [] | no_license | def gemiddelde():
willekeurigezin = input('Vul alstublieft een willekeurige zin in: ')
woorden = willekeurigezin.split()
gemiddeld = sum(len(woord) for woord in woorden) / len(woorden)
print(gemiddeld)
gemiddelde() | true |
9c6d9cf1dd0152c25ebbcd6ce6b4058bed76b2cb | Python | mlz000/Algorithms | /leetcode/72.py | UTF-8 | 508 | 2.59375 | 3 | [] | no_license | class Solution(object):
def minDistance(self, s, t):
n, m = len(s), len(t)
dp = [[10**6] * (m + 1) for i in xrange(n + 1)]
for i in xrange(n + 1): dp[i][0] = i
for j in xrange(m + 1): dp[0][j] = j
for i in xrange(1, n + 1):
for j in xrange(1, m + 1):
... | true |
5d3ee1defe26787b2b5e4a067ce1d2e67b4ee7f0 | Python | deltaori0/Python-Algorithm | /programmers/완전탐색/소수찾기.py | UTF-8 | 740 | 3.625 | 4 | [] | no_license | import itertools
def is_prime(n):
if n < 2:
return False
for i in range(2, n):
if n % i == 0:
return False
return True
def solution(numbers):
# numbers 문자열을 각각의 문자로 분리
# permutation
# int로 바꾸기 (맨 앞에 0인 애들은 자동으로 똑같이 되겠지?)
# set을 이용해서 고유 숫자 뽑아내기
# 소수 찾기 함... | true |
e851f987bf8b35f178c3828e8ce86fbde89fa415 | Python | AlanJYLi/leetcode_practice_python | /week_14/2020_08_17.py | UTF-8 | 4,102 | 3.1875 | 3 | [] | no_license | # 361. Bomb Enemy
class Solution:
def maxKilledEnemies(self, grid: List[List[str]]) -> int:
if grid == []:
return 0
r = len(grid)
c = len(grid[0])
dp_l = [[0] * c for _ in range(r)] # 'e' on the left
dp_r = [[0] * c for _ in range(r)] # 'e' on th... | true |
bcfe72fd485934bf105373fa7b6931b795f1a66e | Python | bhuveshgautam/codeforcomp | /.gitignore/code1.py | UTF-8 | 786 | 2.9375 | 3 | [] | no_license | n = int(input())
for x in range(0, n):
numPeople = int(input())
assert(numPeople >= 2)
A = input()
AiList = A.split()
for i in range(0,len(AiList)) :
AiList[i] = int(AiList[i])
day = 0
people = 1
peoplek=0
peoplej=0
while(people < numPeople):
... | true |
863754f46bfa179b5c5283a81d106d86949d0c6b | Python | Kamata-kun/Nomads | /03_18_occurrence.py | UTF-8 | 448 | 4.71875 | 5 | [] | no_license | '''
Write a script that takes a string from the user and creates a dictionary of letter that exist
in the string and the number of times they occur. For example:
user_input = "hello"
result = {"h": 1, "e": 1, "l": 2, "o": 1}
'''
user_string = input("Please enter a string of characters!\n: ")
new_dict = {}
for i i... | true |
5e5dbd7307d791833b9d5842c2cc85f8d3c2b9bb | Python | euriion/code_snippets | /datafeed/wikipedia_pagecount/wikipeida_pagecount.puller.py | UTF-8 | 5,606 | 2.59375 | 3 | [] | no_license | __author__ = 'aiden.hong'
import os
import urllib
import re
import gzip
from optparse import OptionParser
class WikipediaPVImpoter:
website_path_prefix = "http://dumps.wikimedia.org/other/pagecounts-raw"
base_archiving_directory = "/data/aiden.hong/feeding/wikipedia_pagecount"
origin_filelist = []
delimiter =... | true |
059825c5efa74326d469095b5a882d1a35a2132a | Python | DT021/data_structures_and_algorithms | /sorting/merge_sort.py | UTF-8 | 795 | 3.4375 | 3 | [] | no_license | def merge_sort(data):
if len(data) > 1:
mid_point = len(data)//2
left = data[:mid_point]
right = data[mid_point:]
merge_sort(left)
merge_sort(right)
i,j,k = 0,0,0
while (i < len(left)) and (j < len(right)):
if (left[i] < right[j]):
... | true |
9e778ee0972cda7ea671057f8a386bcbd3892d84 | Python | simrankaushik/pythonCodes | /BMI_calculator.py | UTF-8 | 183 | 3.609375 | 4 | [] | no_license | h=input("enter the height: ")
w=input("enter the weight: ")
print(type(h))
print(type(w))
a=float(h)
b=int(w)
print(type(a))
print(type(b))
g= b/(a**2)
c=round(g,2)
print(c) | true |
4e58fe5c2fe5d1e37534b95c4b4b702d78bf4067 | Python | lxchavez/Yeezy-Taught-Me | /src/MSongsDB/Tasks_Demos/Lyrics/split_mxm_dataset.py | UTF-8 | 5,069 | 2.625 | 3 | [
"GPL-1.0-or-later",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-public-domain",
"CC-BY-NC-SA-2.0",
"LicenseRef-scancode-proprietary-license",
"MIT"
] | permissive | #!/usr/bin/env python
"""
Thierry Bertin-Mahieux (2011) Columbia University
tb2332@columbia.edu
This code splits the full musiXmatch dataset into train and
test using the same split as for automatic tagging.
This is part of the Million Song Dataset project from
LabROSA (Columbia University) and The Echo Nest.
http://... | true |
445b9c4de5f3776fee019af6ecaff1cf0bd5d36f | Python | gsherwin74/PiFire | /distance_vl53l0x.py | UTF-8 | 1,771 | 3.09375 | 3 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | #!/usr/bin/env python3
# *****************************************
# PiFire vl53l0x Interface Library
# *****************************************
#
# Description: This library supports getting the hopper level from the distance sensor
#
# Install Dependancies:
#
# sudo apt install python3-smbus
# sudo pip3 inst... | true |
666dc909e03fac1ef8abf35ae5e6fde6b1efb52d | Python | Brainsucker92/friday_finder | /friday_finder.py | UTF-8 | 870 | 3.921875 | 4 | [] | no_license | #!/bin/python3
import datetime
class FridayFinder:
def __init__(self, date):
self.__date = date
def get_days_to_friday(self):
weekday = self.__date.weekday()
return (4 - weekday) % 7
def get_next_friday(self):
days_to_friday = self.get_days_to_friday()
... | true |
fdf1c365100b858b3e0466516f46059c0ad6a811 | Python | flashlightli/math_question | /leetcode_question/mid_question/402_Remove_K_Digits.py | UTF-8 | 626 | 3.25 | 3 | [] | no_license | class Solution:
def removeKdigits(self, num: str, k: int) -> str:
stack = [] # 栈的知识
remain = len(num) - k
for i in num:
# 数字从左到右 最左边的数字小 数字整体才会小
# 从左到右遍历 比栈最后一个数字小的话替换栈最后一个数字 可移除的个数减一 直到移除的数字达到限制
while k and stack and stack[-1] > i:
stack.... | true |
fac8381df87c4837fa5fcc76518b624c0f44fda9 | Python | q2git/JsApp | /01_OrderLog/server/singleinstance.py | UTF-8 | 1,800 | 3.21875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
http://outofmemory.cn/code-snippet/1494/
python使用Mutex保证程序只有一个实例运行
在开始时，程序创建了一个命名的mutex，这个mutex可以被其他进程检测到。
这样如果程序已经启动，再次运行时的进程就可以检测到程序已运行，
从而不会继续运行。
"""
from win32event import CreateMutex
from win32api import CloseHandle, GetLastError
from winerror import ERROR_ALREADY_EXISTS
class s... | true |
9b98c8ebdbda0be9bc48979404339fae1d16427d | Python | Wal1d/MovieReview | /api/api.py | UTF-8 | 588 | 2.6875 | 3 | [
"Apache-2.0"
] | permissive | import flask
from flask import jsonify, request
from utils import predictReview
app = flask.Flask(__name__)
app.config["DEBUG"] = True
@app.route('/', methods=['GET'])
def home():
return "<h1>mMvie review sentiment classification</h1><p>This is a test, call /predict.</p>"
@app.route('/predict', methods=['GET... | true |
78241b18d5c0505a6e3b140dfe3c5a3733296df4 | Python | zerorock1312/lt-maker-master | /app/engine/skill_system.py | UTF-8 | 16,733 | 2.90625 | 3 | [
"MIT"
] | permissive | class Defaults():
@staticmethod
def can_select(unit) -> bool:
return unit.team == 'player'
@staticmethod
def check_ally(unit1, unit2) -> bool:
if unit1 is unit2:
return True
elif unit1.team == 'player' or unit1.team == 'other':
return unit2.team == 'playe... | true |
d6190b88947363b9be1cb78c4bffe11abcc93f90 | Python | Francisco-HI/mecatronica | /creditos.py | UTF-8 | 1,253 | 3 | 3 | [] | no_license | """
Nombre: dashboard.py
objetivo: Construye el menu principal de la aplicacion de base de datos
Autor: Jose Francisco Garcia Fuentes
Fecha: 10 de octubre de 2019
"""
#cramos clase
from tkinter import *
from tkinter import ttk
from tkinter import messagebox
#Enlazar otro archivo y extrar una clase
from ins... | true |
666f490a11bb81dd3ea012874e1f4f465c713484 | Python | AmaurX/duckietown-visualodo | /lib-visualodo/src/duckietown_visualodo/algo/data_plotter.py | UTF-8 | 9,349 | 2.578125 | 3 | [] | no_license | from __future__ import division
import matplotlib.pyplot as plt
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
import cv2
import numpy as np
from cv_bridge import CvBridge
from sensor_msgs.msg import CompressedImage
from match_filters import Histogr... | true |
8ca0a31c800066a6d2cff5e3ccf0436ca8867887 | Python | FrankYang3110/Simple_baidu_baike_spider | /Simple_baidu_baike/baike_spider/downloader.py | UTF-8 | 500 | 2.703125 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import requests
from fake_useragent import UserAgent
class Downloader(object):
def __init__(self):
self.headers = {'User-Agent': UserAgent().random}
def down(self, url):
if url is None:
return None
r = requests.get(url, headers... | true |
65530345f183ee81b6eed0d0dd01bcfcfa78fa13 | Python | PerilousApricot/WMCore | /src/python/WMCore/Services/TagCollector/XMLUtils.py | UTF-8 | 3,944 | 2.765625 | 3 | [] | no_license | #!/usr/bin/env python
#-*- coding: utf-8 -*-
#pylint: disable=
"""
File : XMLUtils.py
Author : Valentin Kuznetsov <vkuznet AT gmail dot com>
Description: Set of utilities for RequestManager code
"""
from __future__ import (division, print_function)
# system modules
import re
import cStringIO as StringIO
impo... | true |
3cdebe479f62bc52bd6956ddb935ab438ad96627 | Python | fernandolobato/balarco | /clients/tests_models.py | UTF-8 | 1,707 | 2.875 | 3 | [
"MIT"
] | permissive | from django.test import TestCase
from .models import Client, Contact
class ClientTestCase(TestCase):
def setUp(self):
Client.objects.create(name='Test Starbucks', address='Felipe Ángeles 225')
Client.objects.create(name='Test OXXO', address='Reforma 190')
def test_client_names(self):
... | true |
46904e1d2fef802ce0d82a32bf8de2aa12413461 | Python | LotusLine/filefetching | /pandas/main.py | UTF-8 | 2,440 | 4.15625 | 4 | [] | no_license | import pandas as pd
print('---------------------------------------------------------')
#create a dictionary which contains information about fruits
fruit_dict = {"Name":['Mango', 'Apple','Banana','Peach'], "Quantity": [1,4,8,12]}
#create a dataframe
df = pd.DataFrame(fruit_dict, index=['Series1','Series2','Series3',... | true |
b3d9c098ba688e630a8f6dcb9a0ca80feb958c5d | Python | dysomni/Chladni-Laser | /src/timer.py | UTF-8 | 796 | 2.703125 | 3 | [] | no_license | #######################################################################################################################
# timer.py
#
# Simple timer class that is currently not being used. Meant to stop people from accidentally taking multiple pictures
#
# Created by James Brock for Scott Hawley's Physics for AET class
... | true |
013484635dc05ebfac74753b52112bfee314d4d0 | Python | redwingsdan/python-tests | /diceroll.py | UTF-8 | 368 | 3.625 | 4 | [] | no_license | import random
def start_dice_roll():
min = 1
max = 6
roll_again = 'yes'
while roll_again == 'y' or roll_again == 'yes':
diceroll = random.randint(min, max)
print('Roll 1: ' + str(diceroll))
diceroll = random.randint(min, max)
print('Roll 2: ' + str(diceroll))
rol... | true |
2ad9373b1ec5ed88421c756e3333e6d8444fd5f1 | Python | Slangoij/PlayData_Algorithm_Study | /알고리즘 스터디 1차/03.서울에서 김서방 찾기.py | UTF-8 | 170 | 3.03125 | 3 | [] | no_license | def solution(seoul):
for idx,i in enumerate(seoul):
if(i=='Kim'):
answer='김서방은 '+str(idx)+'에 있다'
break
return answer | true |
6753c1f6656f9c9dd1d47162978de21e592100e0 | Python | nurjanat/winx_club | /bbb.py | UTF-8 | 304 | 3.328125 | 3 | [] | no_license | # list1 = [1,2,3,4,5]
# i = 0
# result = 0
# while i < len(list1):
# result = result + list1[i]
# i = i + 1
# print(result)
# x = 9
# list1 = [1,2,3,4,5,6,7,8,9,9,9]
# i = 0
# count_9 = 0
# while i < len(list1):
# if list1[i] == x:
# count_9 +=1
# i = i + 1
# print(count_9)
| true |
52582f17e8a6d4005d0714ab631bc05164f544dc | Python | Harshahg20/color-recognition-in-an-image | /colorDetection.py | UTF-8 | 5,547 | 3.1875 | 3 | [] | no_license | import cv2
import numpy as np
import pandas as pd
import os
import shutil
import sys
# Stores every drive connected on PC in a list.
drives = [chr(x) + ':' for x in range(65, 90) if os.path.exists(chr(x) + ':')]
# Lists each folder and file present in the current working directory
def listDirectories():
listdir =... | true |
487e1b65563ee4502403216662ee64a4f119d78b | Python | DmytroLopushanskyy/lab11_part2 | /polynomial/polynomial.py | UTF-8 | 5,656 | 3.671875 | 4 | [] | no_license | """
Implementation of the Polynomial ADT using a sorted linked list.
"""
class Polynomial:
"""
Create a new polynomial object.
"""
def __init__(self, degree=None, coefficient=None):
"""
Polynomial initialisation.
:param degree: float
:param coefficient: float
""... | true |
d487d12137f629169affef0f458ff840103c2039 | Python | thydungeonsean/Shinar_Genesis | /src/data_structures/dijkstra_map.py | UTF-8 | 899 | 3.59375 | 4 | [] | no_license |
class DijkstraMap(object):
def __init__(self, parent_map):
self.parent_map = parent_map
def spread(self, match_value):
edge = set()
for point in self.parent_map.get_all(match_value):
self.add_neighbours(point, edge, match_value)
return edge
def add_neigh... | true |
38f1b04d0ae3a6460ca90376a55656492cb4d75a | Python | ReubenGoodridge/Space-Invaders | /Space Invaders.py | UTF-8 | 4,211 | 3.359375 | 3 | [] | no_license | import turtle
from turtle import Turtle, Screen
import math
import random
import winsound
import time
# Define Globals
player = Turtle()
wn = Screen()
score = 0
scorestring = 'Score: %s' %score
# Register Graphics
turtle.register_shape('enemy.gif')
turtle.register_shape('player.gif')
wn.setup(700, 7... | true |
9ced1f5b77e914cd183e9010fc22cf83a896027a | Python | LifeMoroz/ES1 | /logic.py | UTF-8 | 1,265 | 2.78125 | 3 | [] | no_license | from models import Question, Answer, Actor, Link
def print_question(question: Question) -> Answer:
print(question.text)
result_dict = {}
for i, a in enumerate(question.get_answers(), 1):
print("{}) {}".format(i, a.text))
result_dict[i] = a
while 1:
try:
s = int(inp... | true |
0217f7f9b2e641302fdefdf9b70a94fb74e545c2 | Python | UCSD-SEELab/ContextEngine27 | /test/DStreamIITest.py | UTF-8 | 3,067 | 2.6875 | 3 | [] | no_license | import csv
import datetime
import math
import numpy as np
import sys, os
import pickle
import time
## Append the paths to your algorithms here.
sys.path.insert(1, os.path.join(sys.path[0], '../python/D-StreamII'));
sys.path.insert(1, os.path.join(sys.path[0], '../python'));
## Import your algorithms here.... | true |