blob_id large_string | language large_string | repo_name large_string | path large_string | src_encoding large_string | length_bytes int64 | score float64 | int_score int64 | detected_licenses large list | license_type large_string | text string | download_success bool |
|---|---|---|---|---|---|---|---|---|---|---|---|
28fa8cae1e39309d07173657d7c0bcbccc125cd2 | Python | alisson-fs/POO-II | /Lista de exercicios 1/Q6.py | UTF-8 | 1,622 | 3.953125 | 4 | [] | no_license | #Aluno: Alisson Fabra da Silva Matricula: 19200409
'''Neste exercício criei apenas a classe baralho que recebe uma lista de cartas, para que
possa ser utilizado para qualquer tipo de baralho. Criei um metodo para distribuir as
cartas e outro para mostrar a carta de cada jogador.'''
from random import randin... | true |
63ca5d9e9eee13486456639b77f0c0c95a86d6a7 | Python | dingdian110/alpha-ml | /alphaml/datasets/cls_dataset/mushroom.py | UTF-8 | 337 | 2.6875 | 3 | [
"BSD-3-Clause"
] | permissive | import pandas as pd
def load_mushroom(data_folder):
file_path = data_folder + 'dataset_24_mushroom.csv'
data = pd.read_csv(file_path, delimiter=',').values
return data[:, 1:], data[:, 0]
if __name__ == '__main__':
x, y = load_mushroom('/home/thomas/PycharmProjects/alpha-ml/data/cls_data/mushroom/')
... | true |
95f1d6bc9e121484487a245c1c47237f1593f658 | Python | DmitryChitalov/Interview | /lesson_2/task_3.py | UTF-8 | 883 | 3.78125 | 4 | [] | no_license | # 3. Усовершенствовать родительский класс таким образом, чтобы получить доступ к защищенным переменным.
# Результат выполнения заданий 1 и 2 должен быть идентичным.
data = dict(name='Bred', price=42)
class ItemDiscount:
def __init__(self, name, price):
self.__name = name
self.__price = price
... | true |
64f512827d311b6fa54f98f9c5aca4161d843984 | Python | a01633908/m-todosn | /vowel.py | UTF-8 | 133 | 3.65625 | 4 | [] | no_license | def count_vowels(txt):
vowels = ['a','e','i','o','u']
v = 0
for p in txt:
if p in vowels:
v += 1
return v
| true |
027bd9447a7b8ad66065475cc9916ceba37da3cc | Python | Nooralwachi/runtime | /runtime.py | UTF-8 | 885 | 2.59375 | 3 | [] | no_license | from datetime import datetime, timedelta
def runtime(filename):
process ={}
with open(filename) as file:
file.readline()
for line in file:
result = []
time,date, pid, status = line.split()
process_time = datetime.strptime(time+ ' '+date, '%H:%M:%S %m/%d/%Y')
#print(process_time, pid, status)
if s... | true |
098e10680eacbe906cb1c83770f452aa847d29f5 | Python | Corona-/Tower-of-dragon | /shop_window.py | UTF-8 | 23,316 | 2.640625 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pygame
from pygame.locals import *
import window
import system_notify
import character_view
import item
import shop
TITLE, CITY, BAR, INN, SHOP, TEMPLE, CASTLE, TOWER, STATUS_CHECK, GAMEOVER = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9)
CHARACTER_MAKE = 10
NO_EXT... | true |
6f12b3563910501a611476d4325cf7373e9c91d2 | Python | DylanDelucenauag/cspp10 | /unit3/ddelucena_numguess.py | UTF-8 | 650 | 4.0625 | 4 | [] | no_license | import random
comp_number = random.randint(1,100)
player_guess = int(input("Guess a number from 1 to 100: "))
while (player_guess != comp_number):
if player_guess > comp_number:
print ("Too high!")
print ("Try again")
player_guess = int(input("Guess again: "))
elif player_guess... | true |
23cceda111798bbc64df18a91c91f9ba6ed0fce7 | Python | TakahiroSono/atcoder | /contest/ABC171/python/A.py | UTF-8 | 85 | 2.90625 | 3 | [] | no_license | upper = "QWERTYUIOPASDFGHJKLZXCVBNM"
A = input()
print('A' if A in upper else 'a')
| true |
64ded8624318d508b1dce3d36b242797591d1ed8 | Python | wanghan79/2019_Python_Tech | /2016010484-张旻政/2016010484-张旻政-第二次作业/第二次作业类运算运行.py | UTF-8 | 341 | 3 | 3 | [] | no_license | from Statistic import Statistic # 导入Statistic类
a = Statistic('students.txt')
sum = a.statistic_sum() # 求和
print('the sum is ', sum)
ava = a.statistic_average() # 求平均值
print('the average is ', ava... | true |
cc511f623c747a3834728de4e462309560657ddd | Python | parekh0711/library-system | /main.py | UTF-8 | 2,643 | 2.828125 | 3 | [] | no_license | from tables import *
from insert import *
from create import *
import sqlite3
from sqlite3 import Error
import pandas as pd
def create_connection(db_file):
conn = None
try:
conn = sqlite3.connect(db_file)
return conn
except Error as e:
print(e)
return conn
def execute_instruct... | true |
aac9e85746021583216a85846531980835ac75e4 | Python | ArturoBarrios/MusicClassification | /PredictorScripts/CustomFeatureSet.py | UTF-8 | 28,646 | 2.78125 | 3 | [] | no_license | from music21 import *
from collections import Counter
import re
from collections import OrderedDict
class CustomFeatures:
def __init__(self):
print(self," doesn't have any arguments")
# def maxDensity(self,score):
#advanced rhythmic similarity
#how similar is each measure in comparison to... | true |
2fd69435ee7e7989c09685df961880aa65bc9c4f | Python | AnnanShu/LeetCode | /231-280_py/269-AlienDictionary.py | UTF-8 | 1,474 | 3.21875 | 3 | [] | no_license | from collections import deque
from functools import reduce
class Solution:
def alienOrder(self, words: str):
indegree = [0] * 26
neibour = [[] for _ in range(26)]
m = len(words)
for row in range(m-1):
if len(words[row]) > len(words[row+1]) and words[row][:len(word... | true |
f98f9876241baf48a432e2d9e2d63013d468b214 | Python | GIS-PuppetMaster/DQN-QuantTrade | /ActorNetwork.py | UTF-8 | 4,250 | 2.5625 | 3 | [] | no_license | import numpy as np
from keras.callbacks import *
import tensorflow as tf
import keras.backend as K
from keras.models import Model
from keras.layers import Dense, Flatten, Conv1D, Input, Concatenate, BatchNormalization, Activation
from keras.utils import plot_model
import glo
from math import *
class ActorNetwork(obje... | true |
1c1b6aaf45e616cb2f1468814df5c39a1df2a05a | Python | jonatanwestholm/garageofcode | /garageofcode/other/kmp.py | UTF-8 | 480 | 3.34375 | 3 | [
"MIT"
] | permissive | def make_table(W):
N = len(W)
T = [0]*N
T[0] = -1
i = 1
candidate = 0
while i < N:
print(i, candidate)
if W[i] == W[candidate]:
T[i] = T[candidate]
else:
T[i] = candidate
while candidate >= 0 and W[i] != W[candidate]:
c... | true |
116fff7723b2173b2523d68349cddf14d260693e | Python | HazardDede/machine-learning | /ml/repository/datasets/__init__.py | UTF-8 | 2,413 | 2.90625 | 3 | [
"MIT"
] | permissive | """Provides convenience stuff to fetch datasets for training / experimenting."""
import os
from typing import Any, List, Optional
from ml.repository import Sets
from ml.repository.datasets.catalog import Catalog
from ml.repository.datasets.loader import BBCNews, Iris, CatsVsDogs
from ml.utils import LogMixin
class ... | true |
c86072ac929087cedf951a27086daf9ff8eab161 | Python | habahnow/332L | /Ghost.py | UTF-8 | 2,375 | 3.296875 | 3 | [] | no_license | import os
import pygame
from spritesheet_functions import SpriteSheet
import sys
debugging = False
class Ghost(pygame.sprite.Sprite):
__gravity = 1
__movement_frames = []
__current_frame_reference = 0
__movement_counter = 0
__movement_counter_boundary = 2
__movement_speed = 24
... | true |
381e52cf73d6660778304cd3b9fc9db55af8f793 | Python | sciapp/sampledb | /tests/logic/test_units.py | UTF-8 | 856 | 2.890625 | 3 | [
"MIT"
] | permissive | # coding: utf-8
"""
"""
import sampledb.logic
def test_unit_registry():
meter = sampledb.logic.units.ureg.Unit("m")
inch = sampledb.logic.units.ureg.Unit("in")
assert meter.dimensionality == inch.dimensionality
def test_custom_units():
sccm = sampledb.logic.units.ureg.Unit("sccm")
cubic_centim... | true |
8fbd79b8ff3b60133bf09e17d2267cf34e0e4f2c | Python | khotiashova7/- | /solution.py | UTF-8 | 1,240 | 2.640625 | 3 | [] | no_license | import sys
from PyQt5 import uic # Импортируем uic
from PyQt5.QtWidgets import QApplication, QMainWindow
import sqlite3
class MyWidget(QMainWindow):
def __init__(self):
super().__init__()
uic.loadUi('solution.ui', self)
self.connection = sqlite3.connect('solution.db')
... | true |
604febde80e37c3d2b2f8e700973b850522a24bb | Python | KellyJason/Python-Tkinter-example. | /Tkinter_Walkthrough_3.py | UTF-8 | 1,394 | 3.859375 | 4 | [] | no_license | import os
import tkinter as tk
#begining of the window
root= tk.Tk()
#this creates an area for the labes and button to go in
canvas1 = tk.Canvas(root, width = 350, height = 400, bg = 'lightsteelblue2', relief = 'raised')
canvas1.pack()
# this is the label
label1 = tk.Label(root, text='Hello Kelly Girls,''... | true |
55c43e1e11ea08da7f4d1fe4213d4a017afc4b3d | Python | sri85/coderbyte | /wordCount.py | UTF-8 | 73 | 2.640625 | 3 | [] | no_license | def Wordcount(str):
print len(str.split())
Wordcount("one 22 three") | true |
1671ba0767798e29bff9d96a576ca3a58913388d | Python | kajetant/adventofcode2018 | /AOC06/app06.py | UTF-8 | 2,473 | 3.265625 | 3 | [] | no_license | import re
from itertools import count, groupby, product
from functools import reduce
from datetime import datetime
import operator
from typing import List
class Point:
def __init__(self, x: int, y: int):
self.x = x
self.y = y
def dist(a: Point, b: Point):
return abs(a.x - b.x) + abs(a.y - b.... | true |
1616eb367541152f7b95e8d935ba296a81ed88cc | Python | kharithomas/GuessingGame | /guess_game.py | UTF-8 | 570 | 4.8125 | 5 | [] | no_license | # Implement a guessing game in python
import random
class Game:
def guess(self):
max_num = int(input('Set a max: '))
random_number = random.randint(1, max_num)
guess = 0
# loop
while guess != random_number:
guess = int(input(f'Guess a number between 1 and {max... | true |
926ba8b0c406580cb8e3796786a6371eeda34e39 | Python | dalelyunas/MusicAggr | /LastFm.py | UTF-8 | 2,376 | 2.5625 | 3 | [] | no_license | import pylast
import time
import SpotifyHandler
import json
import os
# API information for last.fm
API_KEY = os.getenv("LAST_FM_API_KEY")
API_SECRET = os.getenv("LAST_FM_API_SECRET")
# Seconds in a week
WEEK_SECONDS = 604800
cur_time = time.time()
# Authentication for the user
username = os.getenv("USERNAME")
passw... | true |
4addf1c249a93fb19878c41f451b5ced6c5045cf | Python | gen0083/atcoder_python | /python/src/abc151/b_achieve_the_goal.py | UTF-8 | 402 | 2.6875 | 3 | [] | no_license | # https://atcoder.jp/contests/abc151/tasks/abc151_b
def main():
n, k, m = map(int, input().split(" "))
total = 0
for i in input().split(" "):
point = int(i)
total += point
target = m * n
remain = target - total
if remain <= 0:
print("0")
elif remain <= k:
pr... | true |
17dcfe4c9262ae3eb81f9edc83b884579ab73309 | Python | meharbhatia/MIDAS_KG_Construction | /working_code/rest_code/t3.py | UTF-8 | 10,511 | 2.9375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import unicodedata
import nltk
import re
from nltk.tokenize import word_tokenize
from nltk.tag import pos_tag
from nltk import sent_tokenize
import csv
ex = 'BYD debuted its E-SEED GT concept car and Song Pro SUV alongside its all-new e-series models at the Shanghai International Automobile Ind... | true |
ac8a7cea7b483445a7eeacf55879268da0dc2f6f | Python | YuxiG-ba/codingworks | /NLP URL.py | UTF-8 | 3,349 | 2.71875 | 3 | [] | no_license | #!/usr/bin/env python
# coding: utf-8
# In[17]:
import pandas as pd
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import statsmodels.formula.api as smf
#import urllib2
df = pd.read_csv('https://raw.githubusercontent.com/resbaz/r-novice-gapminder-files/master/data/gapminder-FiveYearData.cs... | true |
956202b9d2d42d33a20d1a4891f3d1770e1b7164 | Python | Santiago-Gallego/holbertonschool-higher_level_programming | /0x07-python-test_driven_development/2-matrix_divided.py | UTF-8 | 1,468 | 3.671875 | 4 | [] | no_license | #!/usr/bin/python3
"""matrix_divided module"""
def matrix_divided(matrix, div):
"""divides all elements of a matrix"""
def check_samesize_lists_in_matrix(matrix):
"""checks if lists in matrix are same size"""
size = len(matrix[0])
for i in range(1, len(matrix)):
if len(mat... | true |
1f64736c1c783a560cbe176342c627a0599ed0ce | Python | phantax/microtags | /plotting.py | UTF-8 | 5,559 | 2.515625 | 3 | [] | no_license | #!/usr/bin/python3
import sys
import base64
import binascii
import microtags
import matplotlib
import math
import numpy as np
from scipy import optimize
#
# _____________________________________________________________________________
#
def main(argv):
import matplotlib.pyplot as plot
globals()['plot'] = pl... | true |
eb5f96040b28117c9eb9ba2de75148ae7612f202 | Python | RiceeeChang/PythonPractice | /newTest.py | UTF-8 | 137 | 3.28125 | 3 | [] | no_license | class Some:
def __init__(self, number):
self.number = number
def printSome(self):
print(self.number+5)
s = Some(10)
s.printSome() | true |
19b8f0b2cfa88ca64a75f9cffd0d2d90ea9a116c | Python | dxl2016/Leetcode-Contest | /Weekly Contest 183/1404. Number of Steps to Reduce a Number in Binary Representation to One.py | UTF-8 | 296 | 3.09375 | 3 | [] | no_license | class Solution:
def numSteps(self, s: str) -> int:
s_int = int(s, 2)
ans = 0
while(s_int != 1):
if s_int%2 == 1:
s_int += 1
ans += 1
else:
s_int //= 2
ans += 1
return ans
| true |
a5f6f88eec1d9fd4156205eeb5716c03d16114a9 | Python | heidonomm/mhopRL | /DQNAnalyser.py | UTF-8 | 5,813 | 2.53125 | 3 | [] | no_license | import json
from collections import defaultdict
import nltk
import torch
from utils import words_to_ids
from dqn import DQNTrainer
class DQNAnalyser(DQNTrainer):
def __init__(self):
super().__init__()
self.model.load_state_dict(torch.load('constrained_verb_only.pt'))
self.action_predic... | true |
8c173b57c9754f022876a283c8cd8549530469b0 | Python | m-L-0/17b-Wangshuyun-2015 | /FashionMNIST Challenge/code/cnn.py | UTF-8 | 4,987 | 2.625 | 3 | [
"MIT"
] | permissive | import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
import numpy as np
#训练集数据的引入
reader = tf.TFRecordReader()
filename_queue = tf.train.string_input_producer(["/home/srhyme/ML project/DS/train.tfrecords"])
_, example = reader.read(filename_queue)
features = tf.parse_single_example(
... | true |
fbf4e28a040a9615e2ea31e13f7d5d9221307483 | Python | sachinyar/Python_Machine-Learning_Codes | /sna/word.py | UTF-8 | 306 | 2.9375 | 3 | [] | no_license | fp=open("title.txt",'r')
fp1=open("word_freqYEAR.csv",'w')
fp1.write("Word, Year\n")
while True:
line=fp.readline()
if not line:
break
tk=line.split('@')
tk1=tk[0].split(' ')
for i in range(0,len(tk1)-1):
fp1.write(str(tk1[i])+","+str(tk[1])+"\n")
fp.close()
fp1.close() | true |
c70a37d563376b65682b2ac5750702012b16ca3e | Python | tobarg/python | /outbrain.py | UTF-8 | 1,051 | 3.234375 | 3 | [] | no_license | outbrain = open('ob2015.txt')
keywords = list()
counts = dict()
for line in outbrain:
line = line.rstrip()
line = line.split()
for word in line:
word = word.lower()
#replace characters
word = word.replace('-',' ').replace('"','').replace(":",'').replace('?','').replace(',','')
... | true |
9bfe27e1f2e2d1085c5f381d80ff81a490284882 | Python | x10-utils/nlpaug | /nlpaug/augmenter/word/word_embs.py | UTF-8 | 6,834 | 2.609375 | 3 | [
"MIT"
] | permissive | """
Augmenter that apply operation to textual input based on word embeddings.
"""
from nlpaug.augmenter.word import WordAugmenter
from nlpaug.util import Action
import nlpaug.model.word_embs as nmw
from nlpaug.util.exception.warning import WarningMessage
WORD2VEC_MODEL = None
GLOVE_MODEL = {}
FASTTEXT_MODEL = {}... | true |
f42cd7d8e8d96a6a1fa930161f443b3e3504fd2a | Python | lowks/python-prompt-toolkit | /prompt_toolkit/code.py | UTF-8 | 3,672 | 3.109375 | 3 | [
"BSD-3-Clause"
] | permissive | """
The `Code` object is responsible for parsing a document, received from the `Line` class.
It's usually tokenized, using a Pygments lexer.
"""
from __future__ import unicode_literals
from pygments.token import Token
__all__ = (
'Code',
'CodeBase',
'Completion'
'ValidationError',
)
class Completion(... | true |
9e069b61a4f9ac34ceccec8920882762e0b6776a | Python | tartarica/Mephisto | /src/scripts/mephisto-clicker.py | UTF-8 | 1,517 | 2.90625 | 3 | [] | no_license | from random import random
import pyautogui
import argparse
from flask import Flask, request
app = Flask(__name__)
parser = argparse.ArgumentParser(description='A simple backend to perform simulated clicks for the Mephisto chrome extension.')
parser.add_argument('--port', '-p', dest='port', action='store', default=808... | true |
12d9bed08cfd2f284a1899cf671256f7a5fcb8de | Python | Dranoxgithub/covid-webscraping | /Colorado/scripts/douglas.py | UTF-8 | 1,728 | 2.875 | 3 | [] | no_license | #!/usr/bin/env python
# coding: utf-8
# In[114]:
import urllib.request
from urllib.request import Request, urlopen
import re
from bs4 import BeautifulSoup as soup
url = 'https://www.douglas.co.us/douglascovid19/'
req = Request(url , headers={'User-Agent': 'Mozilla/5.0'})
webpage = urlopen(req).read()
page_soup = so... | true |
feae72433ddb7d7e310d4b308941ddeb7af8efb8 | Python | lakshmanboddoju/Deep_Learning_Prerequisites_The_Numpy_Stack_in_Python | /3/19-values_vs_as_matrix.py | UTF-8 | 146 | 3.203125 | 3 | [] | no_license | #! python3
import pandas as pd
import numpy as np
df = pd.DataFrame([[1, 2], [3, 4]])
print(df)
print(df.as_matrix())
print(df.values)
| true |
227fee901daede38870669fb9801f5e39daf84f0 | Python | diversen/project-euler | /54.py | UTF-8 | 4,414 | 3.421875 | 3 | [] | no_license | """
Python solution to project euler problem 54
"""
class Poker(object):
def read_file (self, file_name = None):
file_name = 'resources/p054_poker.txt'
f = open(file_name)
fc = f.read()
return fc
def convert_hand(self, hand):
""" convert T to A from 10 to 14. Convert t... | true |
77e7b890d247f74cc76c17cc9c70e9c151c32ac9 | Python | pronobility/Laci | /guiablak.py | UTF-8 | 201 | 2.640625 | 3 | [] | no_license | from tkinter import *
abl1 = Tk()
tex1 = Label(abl1, text='Jó napot kívánok!', fg='red')
tex1.pack()
gomb1 = Button(abl1, text='Kilép', command = abl1.destroy)
gomb1.pack()
abl1.mainloop()
| true |
c79836c5bed2ac7049cba677cbf9d86a8d2a3f2b | Python | russelldmatt/brain-teasers | /brain-teasers/reverse-birthday-problem/solve.py | UTF-8 | 638 | 3.40625 | 3 | [] | no_license | import math
from memoize import memoize
@memoize
def factorial(n):
return math.factorial(n)
@memoize
def choose(n, k):
return factorial(n)/factorial(k)/factorial(n-k)
@memoize
def f(n, k):
return k**n - sum([choose(k,i) * f(n, i) for i in xrange(1, k)])
def enough(N): return f(N, 365) > 365**N / 2
def ... | true |
9e6534888e7ced5ca4b8c6f51d00551f30e0efb7 | Python | aparecida-gui/learning-python | /exercicios/multiplicao.py | UTF-8 | 479 | 4.375 | 4 | [
"MIT"
] | permissive | """
Você recebe um integer positivo. Sua função deve calcular o produto dos digitos excluindo qualquer Zeros.
Por exemplo: O numero dado é 123405. O resultado será 1*2*3*4*5=120 (Não esquece de excluir os Zeros).
"""
def checkio(number: int) -> int:
produtoDaMultiplicacao = 1
number = str(number)
for t i... | true |
7dff54c2fa8d6417d1b479db60142a8da80a725b | Python | Win-Htet-Aung/kattis-solutions | /datum.py | UTF-8 | 226 | 3.59375 | 4 | [
"MIT"
] | permissive | import calendar
weekdays = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
s = input()
d = int(s.split()[0])
m = int(s.split()[1])
y = 2009
wd = calendar.weekday(y, m, d)
print(weekdays[wd])
| true |
a4cb01b106d8a8d01c9799cf46ff63b98dfb772d | Python | shshivam/SFWRTECH3RQ3_Project_Tests | /tests/test_accountregistration.py | UTF-8 | 5,051 | 2.515625 | 3 | [] | no_license | import datetime
from dinnerisserved.account import Account
from dinnerisserved.address import Address
from dinnerisserved.discountcoupon import DiscountCoupon
from dinnerisserved.history import History
from dinnerisserved.order import Order
from dinnerisserved.paymentinfo import PaymentInfo
from dinnerisserved.profile... | true |
4323543aedc17123538b0e5f190ab219fea8866d | Python | Zacros7164/Algorithm-Friday | /11:16:18/is-prime.py | UTF-8 | 1,196 | 3.578125 | 4 | [] | no_license | # in this universe, 2 and 3 are ALWAY prime
known_primes = [2,3]
finalPrime = 2
# a function that will find if a number is prime
def is_prime(n):
# print n
total_known_primes = len(known_primes)
for i in xrange(0, total_known_primes):
if(n % known_primes[i] == 0):
# THIS IS DIVISIBLE BY ... | true |
42d80a74006cb9cd3289f5b324f2c323b8758231 | Python | Kito-vini/curso-python | /Meus projetos/YouTube_Downloader/YT_Downloader.py | UTF-8 | 1,966 | 3.234375 | 3 | [] | no_license | from pytube import YouTube
import PySimpleGUI as sg
# Criando as janelas e layouts
def janelaInicial():
sg.theme('reddit')
layout = [
[sg.Text('Bem vindo ao YouTube Downloader'), sg.Text(' '), sg.Text('By Kito-Vini')],
[sg.Text('Digite o link do vídeo: '), sg.Input(key='url1')],
... | true |
da608053da2917b6e3dfe5ce04b4ffa890c8440d | Python | roei-birger/Ex3 | /src/DiGraph.py | UTF-8 | 5,017 | 3.40625 | 3 | [] | no_license | from GraphInterface import GraphInterface
from NodeData import NodeData
class DiGraph(GraphInterface):
"""This class implements a directed weighted graph.
Every graph contains a map of all its vertexes,
a counter of the number of the vertex in the graph,
a counter of the number of edges
an... | true |
e8e16702da3a76d91cdd29586b7b4d117721b856 | Python | BillMaZengou/nature_of_code | /0_Introduction/03_gaussian_distribution/visual_gaussian_distribution.py | UTF-8 | 710 | 3.21875 | 3 | [] | no_license | import numpy as np
from turtle import *
home()
std = 100
initial_colour = (0.98, 0.98, 0.98)
number_occur = []
while True:
h = np.random.randn()
h *= std
if h not in number_occur:
color_factor = number_occur - np.ones_like(number_occur) * h
color_factor = [abs(x) <= 10 for x in color_factor... | true |
33b0e3184fddb3e49b4225d46c28208f3bb5077f | Python | melissabaljeet/melissabaljeet.github.io | /sensor.py | UTF-8 | 387 | 2.828125 | 3 | [] | no_license | us_dist(15)
from gopigo import *
def turn_right():
enc_tgt(0,1,2)
time.sleep(.1)
fwd()
time.sleep(5)
def turn_left():
enc_tgt(1,0, 2)
time.sleep(.1)
fwd()
time.sleep(5)
print us_dist(15)
for i in range(1, 10):
while us_dist(15) >= 20:
servo(90)
fwd()
if us_dist(15) > 20:
servo(180)
... | true |
e345a738c72d688a104e15b2082cb7cbcd7d5c8d | Python | ShlokMohanty/python | /interacting_with_files.py | UTF-8 | 1,216 | 3.53125 | 4 | [] | no_license | #interacting with files
#its pretty common to need to read
xmen_file = open('xmen_base.txt', 'r')
xmen_file
xmen_file.read()
xmen_file.seek(0)
xmen_file.read()
for line in xmen_file :
print(line, end="")
#storm
#wolverine
#Cyclops
#Bishop
#Nightcrawler
xmen_file.close()
xmen_base = open('xmen_base.txt')
new... | true |
1fb98df3e0bcc56a78295f430c661a7d17130869 | Python | royam0820/Python-Course-Tutorial | /files/gettingSleepy.py | UTF-8 | 145 | 3.65625 | 4 | [] | no_license | from time import sleep
duration = 5
print("Getting sleepy. See you in", duration, "seconds")
sleep(duration)
print("I'm back. What did I miss?")
| true |
571db98bbbad0db3f90e522e7574449592d37268 | Python | jegerima/ProyectoSIIGrupo6 | /fst.py | UTF-8 | 162 | 3.34375 | 3 | [] | no_license | def multiply() :
print str(2 * 5)
def modulo() :
print str(5%2)
def main():
print str(2 + 5)
print str(5-2)
modulo()
if __name__ == "__main__":
main()
| true |
91428b045807bfec174e61ddfdc93f6cadba7366 | Python | SmallLogin/UAV-hybrid-motion-planning-with-privacy-concerns | /GA/mapTools.py | UTF-8 | 5,228 | 2.734375 | 3 | [] | no_license | # map generation tools
import numpy as np
from random import randint
import math
# 隐私部分的初始化
def privacy_init(grid_x, grid_y, grid_z, occ_grid, radius):
#print(radius[0])
pri_grid = np.zeros((grid_x, grid_y, grid_z))
for i in range(grid_x):
for j in range(grid_y):
for k in range(grid_z... | true |
9a5536b40a44eab1dc0d48a4c10e08b61da1f1ad | Python | kevinrodbe/json2html-flask | /main.py | UTF-8 | 2,910 | 3.03125 | 3 | [
"MIT"
] | permissive | '''
JSON 2 HTML convertor
=====================
(c) Varun Malhotra 2013
http://softvar.github.io
Source Code: https://github.com/softvar/json2html-flask
------------
LICENSE: MIT
--------
'''
# -*- coding: utf-8 -*-
import ordereddict
import HTMLParser
from flask import json
from flask import Flask
from flask imp... | true |
56bf28b4a65708eb6c71625c35ffb83ab7fb596a | Python | srushti-coding-projects/CS-562-NLP | /part3.py | UTF-8 | 3,075 | 3.375 | 3 | [] | no_license | '''
Counting and Comparing
'''
from nltk.corpus import stopwords
from collections import Counter
from nltk.collocations import BigramCollocationFinder
import matplotlib.pyplot as plt
import string
word_output = open('word_tokenize.txt', 'r')
words = word_output.read()
word_list = words.split()
# Print uniques type... | true |
9a1f4fd44352cdfbda27f80d376db96665d67d8a | Python | saswatpp/cupy | /cupyx/scipy/special/_statistics.py | UTF-8 | 2,086 | 3.078125 | 3 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | from cupy import _core
logit_definition = """
template <typename T>
static __device__ T logit(T x) {
x /= 1 - x;
return log(x);
}
"""
logit = _core.create_ufunc(
'cupy_logit',
('e->f', 'f->f', 'd->d'),
'out0 = logit(in0)',
preamble=logit_definition,
doc='''Logit function.
Args:
... | true |
4eb41e0e12b51847ee1a7df4de518dd3a1dc3dc8 | Python | Ji-sunny/farmAiPython | /module/box.py | UTF-8 | 1,010 | 2.8125 | 3 | [] | no_license | import pandas as pd
import datetime
def box(data, table_name):
def AddDays(sourceDate, count):
targetDate = sourceDate + datetime.timedelta(days = count)
return targetDate
def GetWeekLastDate(sourceDate):
temporaryDate = datetime.datetime(sourceDate.year, sourceDate.month, sourceDate.... | true |
bbb6ba38e7884bd66d4e32d35fa23928f4b05947 | Python | sosuke-k/naruhodo | /naruhodo/utils/misc.py | UTF-8 | 6,278 | 3 | 3 | [
"MIT"
] | permissive | """
Module for miscellaneous utility functions.
"""
import re
import json
from math import sqrt
import numpy as np
import networkx as nx
from nxpd import draw
from naruhodo.utils.dicts import NodeType2StyleDict, NodeType2ColorDict, NodeType2FontColorDict, EdgeType2StyleDict, EdgeType2ColorDict
_re_sent = re.compile(r... | true |
579554c31ef4059285fdfa445c3d996c0e8bdc7d | Python | Rk85/Stock-Watcher | /models/quote_history.py | UTF-8 | 871 | 2.640625 | 3 | [] | no_license | from db_base import Base, engine
from sqlalchemy import Column, Integer, String, DATETIME, Boolean, DATE
from sqlalchemy.sql.expression import and_, func
class TradeHistory(Base):
"""Contains history of the trades for each symbols
"""
__tablename__ = 'TradeHistory'
__table_args__ = {'useexisting' : T... | true |
db713cc2eb7c02a7b10d5129ac7083cd846d5f97 | Python | ZnGaP/python_learning | /module.py | UTF-8 | 340 | 2.65625 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'a test mo'
__author__ = 'linjx'
import sys
def test():
args = sys.argv
if len(args) == 1:
print('hello world!')
elif len(args) == 2:
print('hello, %s' % args)
else:
print('Too much argument!')
if __name__ == "__... | true |
275dcf7021081b228b8e57006804cd8f067b4e0c | Python | computingForSocialScience/cfss-homework-DanyaLagos | /Assignment5/csvUtils.py | UTF-8 | 1,732 | 3.421875 | 3 | [] | no_license | from io import open
import csv
def writeArtistsTable(artist_info_list):
"""Given a list of dictionries, each as returned from
fetchArtistInfo(), write a csv file 'artists.csv'.
The csv file should have a header line that looks like this:
ARTIST_ID,ARTIST_NAME,ARTIST_FOLLOWERS,ARTIST_POPULARITY
"... | true |
f316df1f0c671f0a00fd1f971ee37fd50b3a1af5 | Python | FMsunyh/RetinaNet | /core/backend/tensorflow_backend.py | UTF-8 | 9,799 | 2.625 | 3 | [
"Apache-2.0"
] | permissive | import tensorflow
import keras
import core.backend
def scatter_nd(*args, **kwargs):
return tensorflow.scatter_nd(*args, **kwargs)
def matmul(*args, **kwargs):
return tensorflow.matmul(*args, **kwargs)
def range(*args, **kwargs):
return tensorflow.range(*args, **kwargs)
def gather_nd(params, indices):
return ... | true |
f328ec242745a0d619e549c4c82fd1df7a7df577 | Python | kevinch2008/SublimePlayer | /SublimePlayer.py | UTF-8 | 2,243 | 2.671875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import sublime, sublime_plugin
import subprocess
import threading
class RunAsync(threading.Thread):
def __init__(self, cb):
self.cb = cb
threading.Thread.__init__(self)
def run(self):
self.cb()
def run_async(cb):
res = RunAsync(cb)
res.start()
retu... | true |
5e3d0f9bbac9becd02f61d5c0d3a55dd1c0d56c0 | Python | patjenk/dummydb | /dummydb/ddb.py | UTF-8 | 2,851 | 3.3125 | 3 | [] | no_license | from .serializer import dumps, loads
class DummyDBException(Exception):
pass
class DummyDB():
data = None
def __init__(self, filename=None):
if filename is not None:
self.data = self.load_from_disk(filename)
else:
self.data = {}
def load_from_disk(self, filen... | true |
1f3f25de7b5eabab93339da5000a001ecf59ea87 | Python | scholer/rsenv | /rsenv/rsfavmodules.py | UTF-8 | 3,848 | 2.53125 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2011 Rasmus Scholer Sorensen, rasmusscholer@gmail.com
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of... | true |
a64528a25d320523afa6fd6edf0b0a80d21e6c55 | Python | kapnan/AdventOfCode | /AoC_2019/Final_Completed/Day_5.py | UTF-8 | 4,519 | 3.015625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 1 11:15:50 2020
@author: kriti
"""
#import math
import numpy as np
import os
import sys
import time
if __name__ = '__main__':
print('Hello, I am Day_5 :)')
def Day_5():
t = time.time()
os.chdir("C:/Users/kriti/Documents/Learning Python/AdventOf... | true |
ab2c2ec41b358e6b5e1938ba72a6880a21071ef7 | Python | ropert911/study01_python | /pythoTest/function/namedtuple.py | UTF-8 | 348 | 2.8125 | 3 | [] | no_license | from collections import namedtuple
user1 = {'userId': 1, 'topAreaList': [12, 13, 14]}
user2 = {'userId': 2, 'topAreaList': [22, 23, 24]};
user_list = [user1, user2];
UserWithArea = namedtuple('UserWithArea', ('id', 'top_areas'))
user_list = [UserWithArea(user['userId'], [_ for _ in user['topAreaList']]) for user in u... | true |
7a168605be529e6872f4eef2f2073d0ee6ddf2e3 | Python | czs108/LeetCode-Solutions | /Medium/256. Paint House/solution (1).py | UTF-8 | 1,113 | 3.40625 | 3 | [
"MIT"
] | permissive | # 256. Paint House
# Runtime: 68 ms, faster than 42.13% of Python3 online submissions for Paint House.
# Memory Usage: 14.9 MB, less than 7.26% of Python3 online submissions for Paint House.
class Solution:
# Recursive Tree
def minCost(self, costs: list[list[int]]) -> int:
Red, Green, Blue = 0, 1, 2... | true |
af081807f141e02a8e1b67a2dcf5eff5fbe0b048 | Python | MasterfulDingo/spells | /sqlformat.py | UTF-8 | 4,276 | 3.546875 | 4 | [] | no_license | #this list contains a number of lists which have the database column name in the first position and the possible values of the entry following.
entfields = [['level','0','1','2','3','4','5','6','7','8','9'],['school','abjuration','conjuration','divination','enchantment','evocation','illusion','necromancy','transmutatio... | true |
5d0c08b4054b36604ac0c381e3fe879bee6890d7 | Python | J216/snake-engine | /snakec.py | UTF-8 | 9,991 | 2.90625 | 3 | [
"MIT"
] | permissive |
#execfile('./snakec.py')
from math import sin, cos, radians
from random import randrange, choice
from time import sleep
import os
class Engine:
def __init__(self, location=[-1,-1], engine_type=-1):
self.location = location
if engine_type == -1:
self.item_type = choice([0])
els... | true |
716bc3cfe3d90b8db97a5424e0bab30b71f4bbef | Python | diegoponciano/challenge-for-developers | /githubstars/core/management/commands/createuser.py | UTF-8 | 1,707 | 2.53125 | 3 | [] | no_license | import sys
from django.contrib.auth import get_user_model
from django.core.management.base import BaseCommand, CommandError
from django.contrib.auth.hashers import make_password
from getpass import getpass
User = get_user_model()
class Command(BaseCommand):
help = 'Creates user'
requires_migrations_checks =... | true |
2c57eecf0efc5290e81d1d5e2fb9640862cafa44 | Python | blueones/LeetcodePractices | /backpack92lintcode.py | UTF-8 | 1,465 | 2.921875 | 3 | [] | no_license | class Solution:
"""
@param m: An integer m denotes the size of a backpack
@param A: Given n items with size A[i]
@return: The maximum size
"""
def backPack(self, m, A):
# write your code
self.max_res = 0
self.memo = [[None for i in range(m+1)] for j in range(len(A))]
... | true |
6fcf57b6173a2fee165a945352592e7137a24df9 | Python | glantucan/Pi-learning | /PyGame/basicMovement.py | UTF-8 | 1,356 | 3.625 | 4 | [] | no_license | #!/usr/bin/env/ python3
# -*- coding: utf-8 -*-
import pygame
# Define colors
white = (255, 255, 255)
black = (0, 0, 0)
red = (255, 0 , 0)
gameExit = False
lead_x = 300
lead_y = 300
# Initialize pygame
pygame.init()
# Setup the pygame canvas (called surface)
gameDisplay = pygame.display.set_mode((800, 600)) #The par... | true |
0f7253e1925913a3e20548778615d8a748c99c5e | Python | venkatvi/Kaggle | /Titanic/predictWOCabinGridSearchRF.py | UTF-8 | 3,141 | 2.875 | 3 | [] | no_license | import pandas as pd
import numpy as np
import math
import re
from sklearn.ensemble import RandomForestClassifier
from sklearn.cross_validation import train_test_split
from sklearn.grid_search import GridSearchCV
from sklearn.metrics import accuracy_score
def mapTitle(titleStr):
if titleStr == 'MASTER':
return 1
... | true |
db937f15f5d68df139eaadab5fb5baebcf38e371 | Python | SebGeek/Kenobi | /motor/motor.py | UTF-8 | 4,496 | 2.640625 | 3 | [] | no_license | #!/usr/bin/python
# -*- coding: utf-8 -*-
import time
from rrb3 import RRB3
import multiprocessing
import signal
import syslog
'''
https://github.com/simonmonk/raspirobotboard3
'''
class ThreadMotor(multiprocessing.Process):
''' Create a thread '''
def __init__(self, com_queue_RX, com_queue_TX):
sel... | true |
97b90caf20a2abd3072336a1d01b9aacccb47928 | Python | Tauror/VxRailSentimentAanalysis | /mTest/timeline_bar_4.7.xx.py | UTF-8 | 5,957 | 2.59375 | 3 | [] | no_license | import xlrd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from datetime import datetime
def get_excel_date(t):
t_as_datetime = datetime(*xlrd.xldate_as_tuple(t, workbook.datemode))
date = str(t_as_datetime.year)+'-'+str(t_as_datetime.month)+'-'+str(t_as_datetime.day)
... | true |
6ed7c66c3dd8ee2ef7516151392dce85aab87711 | Python | jhoeksem/SE_with_drones | /01_gettingstarted/hello_drone.py | UTF-8 | 1,479 | 2.71875 | 3 | [
"MIT"
] | permissive | # Import DroneKit-Python
from dronekit import connect, VehicleMode, time
#Setup option parsing to get connection string
import argparse
parser = argparse.ArgumentParser(description='Print out vehicle state information')
parser.add_argument('--connect',help="vehicle connection target string. If not specified, SITL aut... | true |
02bfd63aad6189c0267ac1f566ac803e1c8ff0da | Python | dlwns147/Projects | /python/10.py | UTF-8 | 190 | 3.640625 | 4 | [] | no_license | sum = 0
n = 1
print("덧셈을 하고 싶은 양의 정수들을 입력하세요. 0 입력시 종료.")
while n != 0 :
n=int(input())
sum += n
print("총합은", sum, "입니다.")
| true |
a6acdd8bb2cece07b58649ded00f086a313f843e | Python | Dhadhazi/PD52-InstagramFollowerBot | /main.py | UTF-8 | 1,793 | 2.546875 | 3 | [] | no_license | from selenium import webdriver
from selenium.common.exceptions import ElementClickInterceptedException
import time
chrome_driver_path = ""
ACCOUNT_TO_FOLLOW_FOLLOWERS = ""
USERNAME = ""
PASSWORD = ""
driver = webdriver.Chrome(executable_path=chrome_driver_path)
driver.get("https://www.instagram.com/")
def login()... | true |
8ba5836cc4bab9c20f3eaede4210da1f7fb88aa7 | Python | fun-math/Autumn-of-Automation | /OpenCV/Q1,3.py | UTF-8 | 549 | 2.640625 | 3 | [
"MIT"
] | permissive | import cv2
import numpy as np
img=cv2.imread("meme.jpg",1)
rows,cols,channels=img.shape
img_hsv=cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
mask=cv2.inRange(img_hsv,(-5,50,70),(5,255,255))
mask_inv=cv2.bitwise_not(mask)
dst_bg=cv2.bitwise_and(img,img,mask=mask_inv)
blue=np.zeros([rows,cols,channels])
blue[:,:,0]=255*np.one... | true |
a6777a969158aece3f8527fa2253c34197fc1069 | Python | jaymax01/web_scraping | /taking screenshots with selenium/scraping_excersise.py | UTF-8 | 1,084 | 3.109375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 12 13:58:56 2021
@author: Max
"""
import re
from bs4 import BeautifulSoup
import requests
url = 'https://www.marketwatch.com/investing/stock/amzn?mod=over_search'
page = requests.get(url)
#print(page.text)
soup = BeautifulSoup(page.text, 'lxml')
#print(soup)
# Price o... | true |
d9f35b277d9df2c77f61f7f8f1811abce78efc3f | Python | sgk-000/algorithm | /Ex08/huhman.py | UTF-8 | 1,365 | 3.34375 | 3 | [] | no_license | import sys
import heapq
class Node:
def __init__(self, x):
self.data = x
self.left = None
self.right = None
def insert(self,node, x):
if node is None: return Node(x)
elif x == node.data: return node
elif x < node.data:
node.left = self.insert(node... | true |
14b1adffb349cc954952b0ce4c156dd3235bbe02 | Python | davidwparker/csci5606-numcomp | /final.py | UTF-8 | 21,526 | 3.328125 | 3 | [] | no_license | from __future__ import division
import math
class final:
epsilon = 0.0
""" final project class """
def __init__(self):
self.epsilon = self.machineEpsilon()
def printHeader(self):
""" Prints the header for the class """
print '\nPrinciples of Numerical Computation'
p... | true |
b8a2bcec279d315338dc2692ead7f0135d4cb7f9 | Python | BrachystochroneSD/machine_learning | /session1/a_star.py | UTF-8 | 6,637 | 3.640625 | 4 | [] | no_license | # Based on the wiki page and pseudocode : https://en.wikipedia.org/wiki/A*_search_algorithm
import matplotlib as mpl
from matplotlib import pyplot
import numpy as np
class Node:
# initialise an object NODE characterized by :
# pos : position in the grid
# statut : state, opened, blocked... (to k... | true |
4fb9fefea278dc4dd50c91d6e5e7f333622d8fbd | Python | akapkotel/introduction_to_algorithms | /sorting/sorting_algorithms.py | UTF-8 | 1,915 | 3.984375 | 4 | [] | no_license | #!/usr/bin/env python
from typing import List
def insertion_sort(list_to_sort: List) -> List:
list_to_sort = [e for e in list_to_sort] # to avoid sorting in place, comment this to change original list
for j in range(1, len(list_to_sort)):
sorted_element = list_to_sort[j]
# print('sorted eleme... | true |
7e8b43271c259460765d9b8496d61eec55702a15 | Python | pratul2789/CS6360-database | /00-test-packing.py | UTF-8 | 524 | 2.515625 | 3 | [] | no_license | from file.valuetype import *
from binascii import hexlify
import datetime
dt = DateTime(0)
ddt = Date(100000000000000)
tm = Time(23, 1, 2, 103)
tm2 = Time(4359084)
yr = Year(2016)
print(dt, ddt, tm, tm2)
data = vpack([0, 1, 2, 3, 6, 10, 11, 9, 9, 8, 0xc],
NULLVAL, 23, 267, 234524, 4.5654, dt, ddt, tm, tm2, y... | true |
110b5a808833c6b315f851bc1c3ed3b00928791b | Python | ArturTask/Mathan6 | /drawAnswer.py | UTF-8 | 518 | 3.28125 | 3 | [] | no_license | import matplotlib.pyplot as plt
def drawPls(answer,title):
fig = plt.figure()
axes = fig.add_subplot(111)
plt.grid()
x = []
y = []
for i in range(len(answer)):
x.append(answer[i][1])
y.append(answer[i][2])
axes.plot(x,y,c="black",label="полученное решение")
y = []
... | true |
df61a3fb43977f034dabad8eaa804ddd981f02dc | Python | gijswobben/pydow-2 | /pydow/store/tiny.py | UTF-8 | 702 | 2.90625 | 3 | [
"MIT"
] | permissive | from tinydb import TinyDB, Query
class Store(object):
def __init__(self: object, *args: list, **kwargs: dict) -> None:
self._db = TinyDB("database.json")
def getState(self: object, key: str, default=None, session_id: str = None, identifier: str = None):
"""
"""
pass
def ... | true |
5f8bc8bebfa3673348b3883ef5051b52683e280b | Python | acc-cosc-1336/cosc-1336-fall-2017-mmontemayor1 | /frames/AboutFrame.py | UTF-8 | 266 | 3.34375 | 3 | [
"MIT"
] | permissive | from tkinter import Frame, Label
class AboutFrame(Frame):
"""Frame container for About screen"""
def __init__(self, parent):
Frame.__init__(self, parent)
Label(self, text="About Frame").grid(row=0, column=0, sticky="w")
| true |
68c437b3dbcf305a82baebe00c4155887180e329 | Python | kashewnuts/python-school-ja | /src/downloader.py | UTF-8 | 1,353 | 2.65625 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""%prog url [, url [, ... ]]
Download contents from given URL list.
"""
import logging
import os
import urllib
from urlparse import urlparse
# Check the document about version differences.
# http://docs.python.org/library/urlparse.html#urlparse.parse_qs
# New in ve... | true |
f3636acbbaa2781258954d99e9b762556fbd747a | Python | amanshuraikwar/pr-assignment-2 | /code.py | UTF-8 | 14,489 | 2.671875 | 3 | [] | no_license | import funcs
import sys
import math
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import matplotlib.pyplot as plt
import random
THRESHOLD=0.001
MAXITERATIONS=50
EMMAXITERATIONS=50
EMTHRESHOLD=0.1
TRAININGDATALIMIT=0.75
CURRENTNOOFCLUS... | true |
53ba6f1fefa410fcf5c4c63ead11dcfc5091e74f | Python | patvdheyden/CvoDeVerdieping | /LesVariabelen.py | UTF-8 | 1,544 | 3.671875 | 4 | [] | no_license | from termcolor import colored
def avg(l):
return sum(l, 0.0) / len(l)
print ("Oefening 4.1")
lijst = [15,26,36]
print ("Het gemiddelde van " + str(lijst) + " is " + str("{:.2f}".format(avg(lijst)))) # afronden print 2 dec
print("")
print ("Oefening 4.2")
straal = 5
PI = 3.14159
oppervlakte = (straal**2)*PI
print... | true |
9f88dd15317c38b6f3abda99e4ac61470c416a22 | Python | soriapinnow/Python | /app_python/aula11.py | UTF-8 | 610 | 3.609375 | 4 | [] | no_license | lista = [1, 10]
try:
arquivo = open('teste.txt', 'r')
texto = arquivo.read()
divisao = 10/1
numero = lista[1]
#x = a
except ZeroDivisionError:
print('Não é possível realizar uma divisão por 0')
except ArithmeticError:
print('Houve um erro au realizar uma operação aritmética!')
except IndexE... | true |
4f1c523d93299c39c8fad9e487e0478dd216cac1 | Python | Laurox/ZealotBot | /requirements.py | UTF-8 | 2,994 | 2.640625 | 3 | [] | no_license | import requests
import util.uuid_util
import leaderboard
import util.converter
import time
from dotenv import load_dotenv
import os
load_dotenv()
token = os.getenv('API_TOKEN')
rq = requests.get("https://api.hypixel.net/guild?key=" + token + "&id=5d2e186677ce8415c3fd0074")
c = 0
for member in rq.json()['guild']['memb... | true |
d25689642e1f0ee1417a53314ea8e1bf1a176c54 | Python | maxim5helopugin/Portfolio | /AntiBullying/src/preproc/emoji.py | UTF-8 | 868 | 3.484375 | 3 | [
"MIT",
"LicenseRef-scancode-public-domain"
] | permissive | # -*- coding: utf-8 -*-
"""Module that contains utilities useful for dealing with emojis in text."""
KNOWN_EMOJIS = {
':)': 'smile',
':-)': 'smile',
':(': 'sad',
':-(': 'sad',
'<3': 'heart',
'>:(': 'angry',
'>:-(': 'angry',
':\'(': 'cry',
}
def replace_emojis(orig_text):
"""
Replace known emo... | true |
58ab0735423d344d6a46b7181dc3e468520af777 | Python | XihangJ/leetcode | /BFS/752_Open the Lock.py | UTF-8 | 1,720 | 3.625 | 4 | [] | no_license | '''
You have a lock in front of you with 4 circular wheels. Each wheel has 10 slots: '0', '1', '2', '3', '4', '5', '6', '7', '8', '9'. The wheels can rotate freely and wrap around: for example we can turn '9' to be '0', or '0' to be '9'. Each move consists of turning one wheel one slot.
The lock initially starts at '0... | true |
46717a02784fd4893462976ce74b4257e11fa949 | Python | aliakatas/SKIRON_analysis_pack | /task_reader.py | UTF-8 | 14,526 | 2.65625 | 3 | [
"MIT"
] | permissive | """
Module to define the Task class
responsible for parsing the input
of users.
It performs sanity checks on what
is asked from the application.
"""
import os
import ntpath
from dateutil.parser import parse
from support_data import FILE, NODATA, VEC, SCAL, HISTO, SCATT, ROSE, HEAT, STATS, SERIES, SAVE, FTYPE, METEO, D... | true |
8ff86d5c92b599240b7482adeb0d1cea895212a5 | Python | Leoberium/CS | /stepik_data_structures/bst_feature.py | UTF-8 | 1,545 | 3.328125 | 3 | [] | no_license | import sys
def check_feature(bst: list):
if not bst:
return "CORRECT"
stack = []
current = 0 # root
key_previous = -sys.maxsize - 1
while True:
if current != -1:
stack.append(current)
current = bst[current][1] # left child
elif stack:
... | true |
1943507ad7b39735d5f228073321a687c77cdb07 | Python | abhishekgupta9807/GIES | /gies.py | UTF-8 | 50,852 | 2.515625 | 3 | [] | no_license | #!/usr/bin/env python3
""""
********************************************************************
//File name: gies.py
//Creator: Abhishek gupta
//Stand alone GUI Desktop aplliction
//Last chang: 05/08/2018
********************************************************************
"""
# importing external modules into our a... | true |