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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
89fe3f0295ebf82b45fd715b5386857dc5394ba6 | Python | josiah-bennett/mp3p | /mp3p/time_manipulation.py | UTF-8 | 1,686 | 3.484375 | 3 | [
"MIT"
] | permissive | from mp3p.time_util import TimeUtil
def goto_help(cmd):
"""display the help screen for the goto method."""
print('The goto command takes a timestamp and jumps to that location in the audio.')
print('Syntax: goto timestamp')
print('timestamp: hour:minutes:seconds')
print(' minutes:seconds')
print(' ... | true |
ffd58bc32ac7880558cdd9405c1737dee465feb4 | Python | pvigier/lpc-scripts | /apply_palette.py | UTF-8 | 753 | 2.9375 | 3 | [
"MIT"
] | permissive | import sys
import time
import numpy as np
from PIL import Image
def color_image(indices, palette):
print(indices.shape, palette.shape)
return Image.fromarray(palette[0,indices], mode='RGBA')
if __name__ == '__main__':
if len(sys.argv) < 3:
print('Too few arguments: a greyscale image and a palette ... | true |
12cbad83d2bbc01d506131d4db5f9120fa4c0abd | Python | Wanqianxn/refugees-say | /helpers.py | UTF-8 | 4,671 | 2.890625 | 3 | [] | no_license | import random
import pandas as pd
import numpy as np
class MatchingAlgo:
def __init__(self, cases, sites):
self.cases = cases
self.sites = sites
# Takes community's details (city, state) and returns dict of relevant info.
def communityInfo(self, city, state):
comDf = self.sites[(s... | true |
03ebcf5ea77d0c9a8f5670c8d744f8a22a8be0d0 | Python | loveAlakazam/Homeworks2019 | /ProgramTraining/SW_Expert_Academy/1284/수도요금경쟁.py | UTF-8 | 283 | 2.84375 | 3 | [] | no_license | #13분14초
T=int(input())
for t in range(1,T+1):
P,Q,R,S,W= map(int, input().split())
A= W*P #A사: 1리터당 P원, W리터당=> P*W원
#B사: (W<=R) Q원 (W>R) Q+(W-R)*S
B=Q
if(W>R):
B+=S*(W-R)
result=min(A,B)
print('#{} {}'.format(t, result))
| true |
0775c1cbf181f32510c4ecdc0c17d1ab0c6f247b | Python | reddyonlinenow/codebreakers-solutions | /leetcode/142/142.py | UTF-8 | 1,045 | 3.796875 | 4 | [] | no_license | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def detectCycle(self, head: ListNode) -> ListNode:
# check to see if head is None or of length 1
if not head or not head.next:
return Non... | true |
214029d2049d7faddad3649690b541b973cb5fa1 | Python | Lukdes/ATM-project | /main.py | UTF-8 | 1,213 | 3.25 | 3 | [] | no_license | from Banksystem import Bank
Luke = Bank("Luke", "1234" , "4321" )
go = Luke.Login()
while go:
#once acess is granted, you need to choose one of the seven choices and then hit enter. If something else is typed you are told to choose a number from 1 to 7
print "_________________________________________________... | true |
1a170e0fe6fa3a81f2c9159275d4af16c9aa1caf | Python | pawelczapla/gameofcheckers | /checkers/constants.py | UTF-8 | 543 | 2.921875 | 3 | [] | no_license | import pygame
# Dimensions
WIDTH, HEIGHT = 800, 800
ROWS, COLS = 8, 8
square_size = 100
# Colors
RED = (255, 0, 0)
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
BLUE = (0, 0, 255)
GREY = (128, 128, 128)
# Assets
circle = pygame.image.load('assets/circle.png')
background = pygame.image.load('assets/black.jpg')
tile = pyg... | true |
ece28d6043f3c38ab3f403232d87dd06648f0ea6 | Python | PyrosCoffee/KBA-iot-portfolio | /monitor_ii/db.py | UTF-8 | 1,154 | 2.5625 | 3 | [] | no_license | """
Edited the db.py that was in the base components to suit the needs of the project
"""
import os
from sqlalchemy import Column, DateTime, Float, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from datetime import datetime
# data folder doesnt get things added to it, fix later
db_folder = ... | true |
fe29ea0ad32892dc9f3b87d211a9622e0900befd | Python | TheHa1fBloodPrince/formautofill | /FormAutoFill.py | UTF-8 | 2,208 | 3.3125 | 3 | [] | no_license | #Created by: TheHalfBloodPrince
from selenium import webdriver
import pyautogui
from datetime import datetime
from threading import Timer
print ('Executing Order 66...')
option = webdriver.ChromeOptions()
browser = webdriver .Chrome('/usr/bin/chromedriver')
browser.get ("Insert form link")
#Function that ma... | true |
fc4d345dc456d380ced074d053837d533651f082 | Python | adarshsingh994/Practice | /Python/MaximisingXor.py | UTF-8 | 382 | 3.03125 | 3 | [] | no_license | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the maximizingXor function below.
def maximizingXor(l, r):
maxXor = 0
for i in range(l, r + 1):
for j in range(i, r + 1):
curXor = i ^ j
if curXor > maxXor:
maxXor = curXor
print(maxXor)
if __name__ == '__main__':
l... | true |
639d69e2e9b3e5c77a1cc63ee40c45db6cdb8c3a | Python | songcq/mammoth | /tube_wrap.py | UTF-8 | 2,285 | 2.796875 | 3 | [] | no_license | import solid as sc
import math
from solid.utils import Point2
import utils
def f(x):
l = x
a = x
p = Point2(math.cos(a), math.sin(a))
p.set_length(l)
return p
points = [f(i * 0.3) for i in range(100)]
# d = _sp.catmull_rom_polygon(points, subdivisions=10)
d = sc.text("hi", halign="center", val... | true |
e8603fb188666256208b4440113f0f39d83671ba | Python | durbanie/ProjectEuler | /src/P1/Problem25.py | UTF-8 | 2,036 | 4.125 | 4 | [] | no_license | '''
Problem: Find the index of the first 1000 digit fibonacci number.
Strategy: Brute-force & Mathematical
Notes: Implementing this as an array with each digit as an entry in the array.
In Python, this is actually not necessary (python allows an arbitrary number
of digits in an integer), but in other langu... | true |
8af18bb462c1a194394b1126f32ebe170d827b73 | Python | guptaabhishekknp/algorithms_project-graphs | /allcode/Map.py | UTF-8 | 28,498 | 3.125 | 3 | [] | no_license | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import math
import sys
# In[2]:
#functions for heap data structure
#adjacency lists are implemented as python dictionaries
def PARENT(i,D):
n = len(D)
if i>0:
return math.floor((i-1)/2)
else:
return -1
def LCHILD... | true |
4774c9f8023d73bbea0a50f30f5849ba2ca1a610 | Python | newfull5/Baekjoon-Online-Judge | /[11399] ATM.py | UTF-8 | 158 | 3.046875 | 3 | [] | no_license | input()
cost = list(map(int, input().split()))
cost = sorted(cost)
answer = 0
for i in range(1,len(cost)+1):
answer += sum(cost[:i])
print(answer)
| true |
6a122314914452ee9d4d921c4069fbadaf9404ef | Python | operfly/distribute_scpider | /test_2.py | UTF-8 | 1,994 | 3.65625 | 4 | [] | no_license | # -*-coding:utf-8-*-
import threading
mutex_lock = threading.RLock() # 互斥锁的声明
ticket = 100000 # 总票数
# 用于统计各个线程的得票数
ticket_stastics = []
class myThread(threading.Thread): # 线程处理函数
def __init__(self, name):
threading.Thread.__init__(self) # 线程类必须的初始化
self.thread_name = name # 将传递过来的name构造到类中的n... | true |
bf859c72db9b4e519f2c4623e64f716e11df32f1 | Python | MonchoG/Computer-Vision | /modules/face_recognition/Server.py | UTF-8 | 3,091 | 2.65625 | 3 | [] | no_license | import base64
import pickle
import socket
import struct
import sys
import time
from _thread import start_new_thread
import cv2
import modules.face_recognition.recognize_faces as recognizer
def string_to_image(string, title):
fh = open("{}.png".format(title), "wb")
fh.write(base64.b64decode(string))
prin... | true |
99983da8be525ee89e20e4c9a95ba2cc3a4ac471 | Python | GriffinPeirce/Aquabot_Streaming | /udpServer_pi.py | UTF-8 | 814 | 3.21875 | 3 | [] | no_license | import socket
def main():
#host = '192.168.1.101'
#port = 22 #port for server
#pass tuple of host and port
#DGRAM = datagram
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) #by default, socket is TCP so we should specify it is UDP
host = '192.168.1.101'
port = 5000
#bind sock... | true |
c6910f5ccefea5b2a641830d9dc8603254f64f62 | Python | ambv/aiotone | /aiotone/uspectro.py | UTF-8 | 3,841 | 2.671875 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
from __future__ import annotations
from functools import lru_cache
import os
from pathlib import Path
import click
import numpy
from PIL import Image
from aiotone import audiofile
from aiotone.colors import get_color, colors_to_buckets, convert_html_to_hsv
BETA = 3.14159265359 * 2.55
def ... | true |
15e82493228fb5e225f8d4a3089f689bb8cfeba1 | Python | Sho-Tamura-Create/LearningPY | /pyxel/test00.py | UTF-8 | 1,611 | 2.96875 | 3 | [] | no_license | import pyxel
alphaChanel = 11
charset = {'A':0,'B':1,'C':2,'D':3,'E':4,'F':5,'G':6,'H':7,'I':8,'J':9,'K':10,'L':11,'M':12,'N':13,'O':14,'P':15,'Q':16,'R':17,'S':18,'T':19,'U':20,'V':21,'W':22,'X':23,'Y':24,'Z':25,'.':26,':':27,'!':28,'?':39,'0':0,'1':1,'2':2,'3':3,'4':4,'5':5,'6':6,'7':7,'8':8,'9':9}
s = 0
class App:
... | true |
801beb7d522948ed45d8c59b1929a0a8e58d1db2 | Python | DevMayurJ/Duplicate-File-Finder | /DuplicateFileFinder.py | UTF-8 | 2,090 | 3.328125 | 3 | [] | no_license | from sys import *
import os;
import hashlib;
def hashfile(path, blocksize = 1024):
fd = open(path, 'rb')
hasher = hashlib.md5()
buff = fd.read(blocksize)
while len(buff) > 0:
hasher.update(buff)
buff = fd.read(blocksize)
fd.close()
return hasher.hexdigest()
... | true |
55ba7e5f885c735a1352a557d239f433c75ba1e5 | Python | RaymondZano/MBAN-Python-Course | /6_pandas and matplotlib essentials.py | UTF-8 | 2,670 | 3.625 | 4 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 10 18:11:26 2018
@author: chase.kusterer
Working Directory:
/Users/chase.kusterer/Desktop/PyCourse
Purpose:
To introduce pandas and matplotlib
"""
###############################################################################
# Importing lib... | true |
8602ab26cba7c4992d475b5fc0024141f5c0016b | Python | ArdelH/spaceGame | /classes.py | UTF-8 | 7,237 | 2.953125 | 3 | [] | no_license | import pygame as pg
from PIL import ImageFont
pg.font.init()
# Parent
class buttons_and_labels():
def __init__(self, game_display, rectX, rectY, rectW, rectH, rectC, text, textC, font, size, bold, italic):
self.game_display = game_display
self.rectX = rectX
self.rectY = rectY
... | true |
fa5ded646961aa362414beafda4b7ea8136f28a5 | Python | lettergram/DataProfiler | /dataprofiler/validators/base_validators.py | UTF-8 | 4,684 | 3.28125 | 3 | [
"Apache-2.0"
] | permissive | #!/usr/bin/env python
"""
coding=utf-8
Build model for a dataset by identifying type of column along with its
respective parameters.
"""
from __future__ import print_function
from __future__ import division
def is_in_range(x, config):
"""
Checks to see x is in the range of the config.
:param x: number
... | true |
55959cb38abe6244116ea968c4ec9e830590b4ca | Python | mingzeng8/ionization_calculator | /ADK_calculator.py | UTF-8 | 3,260 | 3.078125 | 3 | [] | no_license | #calculate the parameters in ADK model
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from scipy.special import gamma
from scipy.constants import c, e, m_e, physical_constants
from fbpic.particles.elementary_process.ionization.read_atomic_data import get_ionization_energies
class ADK_cal... | true |
aca8078a350790d5cceb7626e0e9e266d3aca80d | Python | shamoldas/pythonBasic | /numpy/empty.py | UTF-8 | 269 | 3.796875 | 4 | [] | no_license | # Python Programming illustrating
# numpy.empty method
import numpy as geek
b = geek.empty(2, dtype = int)
print("Matrix b : \n", b)
a = geek.empty([2, 2], dtype = int)
print("\nMatrix a : \n", a)
c = geek.empty([3, 3])
print("\nMatrix c : \n", c)
| true |
dd1b6a3bd78415bd3d49561510c29f385b950ca9 | Python | Deadlysmurf/Code-Scraps | /t_test_summary_stats.py | UTF-8 | 1,276 | 2.8125 | 3 | [] | no_license | ### For t-test hypothesis testing when only summary statistics are provided
## DEPENDANCIES:
## import numpy as np
## import scipy.stats as ss
def t_test(sample_mean, mu, sd, n, alpha, tails):
if tails == 1:
t_critical = (sample_mean-mu)/(sd/(np.sqrt(n)))
pval = ss.t.sf(np.abs(t_critical), n-1)
... | true |
9ee6f4db7e25a239e2725a8c95d7cc841b3d9015 | Python | Iammagneat/gl_test_numbers1 | /count_numbers.py | UTF-8 | 170 | 3.3125 | 3 | [] | no_license | with open('numbers.txt') as file:
text_list = [line.rstrip() for line in file]
x = 0
for i in text_list:
if not i.startswith('#'):
x += float(i)
print(x)
| true |
734175ef5d647a7f807616e06a1cd73c3c482606 | Python | impelfin/rpi_with_iot | /python/p17_if.py | UTF-8 | 161 | 3.828125 | 4 | [] | no_license | a = int(input("Input the First number : "))
b = int(input("Input the Second number : "))
if a > b:
print("Max is %d" % a)
else:
print("Max is %d" % b)
| true |
c2c6506fcfaa21c79ce94e1b2db30218f6d062dd | Python | Bootstrap360/RL | /environments/gridworld2.py | UTF-8 | 10,105 | 2.859375 | 3 | [] | no_license | import numpy as np
import random, copy, math
import itertools
import scipy.misc
import matplotlib.pyplot as plt
from PIL import Image
import cv2
class gameOb():
def __init__(self,coordinates,size,color,reward,name):
self.x = coordinates[0]
self.y = coordinates[1]
self.size = size
s... | true |
db71ec188766bf306982476b1f7c1715afe7a993 | Python | Teenspirit-Hao/Discrete-Event-Simulator | /model.py | UTF-8 | 1,660 | 2.671875 | 3 | [] | no_license | import numpy as np
import os
import random
"""
Machines are created here
Whenever you use the machine release it
"""
class Machine(object):
def __init__(self, name):
self.machineID = int(name)
self.machineName = "Machine_"+str(name)
self.machineBusy = False
self.jobO... | true |
09044b8a8fcc699a61a9bc9fbf7a6d39f10fa07b | Python | pbharathkoundinya/CSD-LAB | /CSD LAB/Lab 1/problem4.py | UTF-8 | 252 | 3.234375 | 3 | [] | no_license | l=[]
n=int(input("enter no.of elements :"))
for i in range(n):
i=int(input("enter element :"))
l.append(i)
d=max(l)
a=[]
l.remove(max(l))
for i in l:
a.append(i)
s=2*max(a)
if d>=s:
print("true")
else:
print("false") | true |
10febffda3220a7edaf2fe9c65f3d6fe7edd3937 | Python | laiy/Distributed_Computing | /wsgi/wsgi_app_on_tornado.py | UTF-8 | 433 | 2.515625 | 3 | [] | no_license | import tornado.web
import tornado.httpserver
import tornado.wsgi
def simple_app(environ, start_response):
status = "200 OK"
response_headers = [("Content-type", "text/plain")]
start_response(status, response_headers)
return ["Hello world!\n"]
container = tornado.wsgi.WSGIContainer(simple_app)
http_se... | true |
536e1643495f44085345c591facd6f46371452e2 | Python | Dwape/domotics | /back/webapp/read_db.py | UTF-8 | 2,896 | 3.1875 | 3 | [] | no_license | #!/usr/bin/python
#import MySQLdb
import pymysql
pymysql.install_as_MySQLdb()
import datetime
#cur = None # Database cursor
db = None # A reference to the database
def connect():
'''
Connects to the database use to store sensore values.
'''
global db
db = pymysql.connect(host="localhost", # y... | true |
073336cf5dafa02e3eef78460604fb7ec33d0945 | Python | Moenupa/MINEWORLDY | /titanic/sklearnimputer.py | UTF-8 | 2,209 | 2.609375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
# @Author: Moenupa 2019/05/21
import pandas as pd
import numpy as np
from sklearn.experimental import enable_iterative_imputer
from sklearn.impute import IterativeImputer, SimpleImputer
from sklearn.impute import KNNImputer
def func_procs():
try:
dir = "C:\\Github\\MINEWORLDY\\titan... | true |
da7348722198a214518ffb9dc426529b8a862c6f | Python | shazack/LeetCode-Pythonsolns- | /reverseVowels.py | UTF-8 | 1,186 | 3.578125 | 4 | [] | no_license | class Solution(object):
def reverseVowels(self, s):
vowels = ('a','e','i','o','u','A','E','I','O','U')
if len(s)==0:
return ""
r = list(s)
start=0
end=len(s)-1
while start!=end or start+1==end:
#both consonants
if r[start] ... | true |
fd12bbd584d6976f93c98517494ed4ea1d40eb50 | Python | renukadeshmukh/Leetcode_Solutions | /142_LinkedListCycleII.py | UTF-8 | 1,974 | 4.25 | 4 | [] | no_license | '''
142. Linked List Cycle II
Given a linked list, return the node where the cycle begins. If there is no
cycle, return null.
To represent a cycle in the given linked list, we use an integer pos which
represents the position (0-indexed) in the linked list where tail connects to.
If pos is -1, then there is no cycl... | true |
b54efff3d63c72f2d7678de530f8727c6ea9b594 | Python | harshit0810/Acadview-Python-Assignments | /Assignment-4/solution.py | UTF-8 | 774 | 4.21875 | 4 | [] | no_license | #QUESTION-1
list1=[23,34,553,542]
print(list1[::-1])
#QUESTION-2
string1='Game Of Thrones'
for i in string1:
if(i.isupper()):
print(i,end=' ')
print()
#QUESTION-3
string2=input("Enter the list:- ")
string2=string2.split(',')
list2=[]
for i in string2:
list2.append(int(i))
print(list2)
#QUESTION-4
s... | true |
af2bce3e12318369dcd612b306c39d93518901b5 | Python | joanaosoriosousa/small-python-projects | /tic-tac-toe.py | UTF-8 | 6,230 | 4.375 | 4 | [
"MIT"
] | permissive | import random
game_board = """
{} | {} | {}
---------
{} | {} | {}
---------
{} | {} | {}
"""
def display_board(board):
print(game_board.format(*board))
def ask_player_name():
player1 = input("Player 1, what's your name? \n")
player2 = input("Player 2, what's your name? \n")
return player1, playe... | true |
006ca52082311ef223ecdb1ebb36ecb59e540c04 | Python | EduardoAlbert/python-exercises | /Mundo 2 - Estruturas de controle/057-065 Estrutura de repetição while/ex065.py | UTF-8 | 449 | 3.71875 | 4 | [] | no_license | opcao = ''
c = 0
soma = 0
lista = []
media = 0
while opcao in 'S':
valor = int(input('\033[36mDigite um número: '))
lista.append(valor)
c += 1
soma += valor
opcao = str(input('\033[30mQuer continuar [S|N]? ')).strip().upper()[0]
media = soma / c
print('\033[31mA média entre todos o valores é {}'.f... | true |
e2d3d22f35f4c8c976941e4a3a082eb6de73133d | Python | peskin55/PythonProgramming1 | /Zachary_Peskin_Final_Programming_Assignment.py | UTF-8 | 3,185 | 2.96875 | 3 | [] | no_license | #!/usr/bin/env python
from bs4 import BeautifulSoup
from re import findall
from urllib.parse import urljoin
from urllib.parse import urlparse
from html.parser import HTMLParser
from urllib.request import urlopen
class Vocab(HTMLParser):
def __init__(self, url):
HTMLParser.__init__(self)
self.url = ... | true |
b4a42fb58d1ef59e54a3be25ac257f0b53bd33cf | Python | amolpandit38/fingercursor | /handTrackingModule.py | UTF-8 | 4,363 | 3.140625 | 3 | [] | no_license | """------------------Creating Hand trackig Package----------------------------"""
import cv2
import mediapipe as np
import time
import math
"""-------------------------------Creation of Hand_Detection Class---------------------------------"""
"""
Methods inside Hand Detection Class
... | true |
e0c5795434c4aec4a669371f5cc6dbe6f6c79d33 | Python | RJHarvest/book-web-scraper | /scrapeInfo.py | UTF-8 | 1,244 | 3.328125 | 3 | [] | no_license | import requests
import pandas as pd
from bs4 import BeautifulSoup
def main():
titles = []
prices = []
ratings = []
for i in range(1,51):
html_page = requests.get(f'http://books.toscrape.com/catalogue/page-{i}.html')
content = html_page.content
soup = BeautifulSoup(content, 'htm... | true |
b593f6e13c384045c0dcdb719d6fa4003551caf8 | Python | ypark54/Python | /discord_test/keyboard_test.py | UTF-8 | 95 | 2.703125 | 3 | [] | no_license | import keyboard
while True:
a = keyboard.read_key()
#print(a) | true |
ade8e27ddc455e3e6d82dec3ecf0b01988ba42d1 | Python | matiasimc/RedesNeuronales | /tarea1/src/Network.py | UTF-8 | 1,497 | 2.9375 | 3 | [] | no_license | from Layer import *
class NeuralNetwork:
def __init__(self, opts):
self.learningRate = opts.learningRate
self.iterations = opts.iterations
self.layers = []
self.layers.append(Layer(opts.input_size, opts.input_size))
for (i, c) in enumerate(opts.hidden_layers):
se... | true |
b02714461499f2c5976014c7d94bb4bfaf84a1b1 | Python | LakhanShanker/TextConvertor | /speechToText.py | UTF-8 | 975 | 3.375 | 3 | [] | no_license | import speech_recognition as speech
def takeCommand(): #method to take audio
r = speech.Recognizer() #recognizer class of speech recognition
with speech.Microphone() as source: #taking input through microphone
r.adjust_for_ambient_noise(source) #adjusting noise
print("Listening........ | true |
ebc456fcb0bf5c1381cb041a38b34ca24caef050 | Python | kbala42ylv/ebabot | /classes/browser.py | UTF-8 | 2,250 | 2.515625 | 3 | [] | no_license | from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import TimeoutException
from selenium.common.exceptions import StaleElementReferenceException
from selenium.webdriver.support.ui import WebDriverWait
import classes.log as log
import settings
ch... | true |
b9ff020e560202b96093a4d1844f6f4e428a79a4 | Python | Data-Tach/ML-4-e | /operations-on-opencv/ex2.py | UTF-8 | 207 | 2.5625 | 3 | [
"MIT"
] | permissive | # Blur image
import cv2
import imutils
img = cv2.imread("resizeImg.png")
gaussianBlur = cv2.GaussianBlur(img, (21,21), 0)
cv2.imshow("gaussianBlur.png", gaussianBlur)
cv2.waitKey(0)
cv2.destroyAllWindows() | true |
fcbd4a19dc0269f8b94b3b1b1000b79ae3a2ad7a | Python | yangyuxiang1996/leetcode | /out/production/leetcode/225.用队列实现栈.py | UTF-8 | 1,305 | 3.75 | 4 | [] | no_license | #
# @lc app=leetcode.cn id=225 lang=python3
#
# [225] 用队列实现栈
#
# @lc code=start
from collections import deque
class MyStack:
def __init__(self):
"""
Initialize your data structure here.
"""
self.deque1 = deque()
self.deque2 = deque()
def push(self, x: int) -> None:
... | true |
7ab93dbabb0b11f2e22e6bb98cbee14e33a7c288 | Python | qiufengdiewu/LPInsider | /039description2POS.py | UTF-8 | 2,441 | 2.734375 | 3 | [
"Apache-2.0"
] | permissive | # coding=utf-8
import stanfordcorenlp
import pandas as pd
"""
注释一是将lncrinter的正样本作为训练集
"""
def precess(description):
description = description.replace('(', ' ')
description = description.replace(',', ' ')
description = description.replace(')', ' ')
description = description.replace('.', ' ')
... | true |
806bb757144b41b9e12627e25277317dcea6ba31 | Python | c18gour/K_book | /chapter8/8-printTime.py | UTF-8 | 452 | 3.625 | 4 | [] | no_license | class Time:
pass
def printTime(time):
print(str(time.hours)+':'+str(time.minutes)+':'+str(time.seconds))
currentTime = Time()
currentTime.hours = 9
currentTime.minutes = 14
currentTime.seconds = 30
printTime(currentTime)
class Time:
def printTime(time):
print(str(time.hours)+':'+str(time.minutes)+':'+str... | true |
ab477d85c8ff0a2b42799f6745ee6db12150118c | Python | joordan/greyhound-bus-scraper | /scrape.py | UTF-8 | 2,032 | 2.828125 | 3 | [] | no_license | import numpy as np
from selenium import webdriver
from selenium.webdriver.support.ui import Select
outputfile = open("output.txt","w+",encoding='utf-8')
options = webdriver.ChromeOptions()
options.add_argument('headless')
#driver = webdriver.Chrome()
driver = webdriver.Chrome(chrome_options=options)
#driver.get("... | true |
a139822cec07ad589557b6938ea59d9305582c7c | Python | mohrobati/JS-Buxter | /repair/live_variables_extractor.py | UTF-8 | 3,265 | 2.75 | 3 | [
"MIT"
] | permissive | from copy import deepcopy
class LiveVariablesExtractor:
def __init__(self, program):
self.__program = program
self.__live_variable_elements = self.__getLiveVariableElements('./configs/live_variable_elements.txt')
self.__variables = []
def __getLiveVariableElements(self, path):
... | true |
f2f745d476bba9cd17b9ffefdce7018a9af41e01 | Python | jdpatt/AoC | /2020/day_8/day_8.py | UTF-8 | 2,310 | 3.65625 | 4 | [] | no_license | """Day 8"""
import copy
from os import read
from pathlib import Path
from typing import Tuple
class BootCodeError(Exception):
...
def read_in_boot_code():
"""Each line consists of an operation and an argument."""
with open(Path(__file__).parent.joinpath("input.txt")) as puzzle_input:
instruction... | true |
aa4650835a8287ce9ed7c7a6b097cabde1f18a71 | Python | nickliqian/keep_learning | /KnowledgeMapping/SpiderExp/1-Code/panyu.goodjob.cn/run.py | UTF-8 | 699 | 2.6875 | 3 | [
"MIT"
] | permissive | import requests
from lxml import etree
import csv
url = "http://panyu.goodjob.cn/job/pos970735.html"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.108 Safari/537.36",
}
r = requests.get(url=url)
html = etree.HTML(r.text)
l... | true |
1d530679716fe70c37d8e34991cce9d5045e162f | Python | piotrszleg/symbolic_manipulation | /expression.py | UTF-8 | 1,325 | 2.90625 | 3 | [] | no_license | from itertools import zip_longest, product, accumulate
from blist import sorteddict
from dataclasses import dataclass, field
@dataclass(unsafe_hash=True)
class Expression:
def matches(self, other, variables):
return True
def cost(self):
return 1
def __lt__(self, other):
return self.... | true |
32a77271e31d021b0af76d9c43df900a813f7d38 | Python | 1MT3J45/pyprog | /max.py | UTF-8 | 79 | 2.90625 | 3 | [] | no_license | a = [8,5,9,6,8,4]
max1 = a[0]
for i in a :
if i < max1:
max1=i
print max1
| true |
2596fc8ea7ceadae2dc5e3e49808bc7e00547a17 | Python | jmslip/clever-historical-data | /service/calculos_geral.py | UTF-8 | 3,055 | 2.796875 | 3 | [
"MIT"
] | permissive | from datetime import datetime, timedelta
import pandas as pd
from service.historico import HistoricoService
from utils.clever_generics import CleverGenerics
class CalculosGeral:
def __init__(self) -> None:
self.historico_service = HistoricoService()
self.clever_generics = CleverGenerics()
... | true |
c3459f21f5be23e39a8cd31008b0b8f4bfa8d405 | Python | bitgrease/python_bases_exercises_1 | /Chapter10Ex/10.3Ex/Dog.py | UTF-8 | 444 | 4.125 | 4 | [] | no_license | class Dog:
species = "Canis Familiaris"
def __init__(self, age, name):
self.age = age
self.name = name
def __str__(self):
return f"{self.name} is {self.age} years old."
def speak(self, sound):
return f"{self.name} says {sound}."
class GoldenRetriever(Dog):
def s... | true |
c7fd0888b68ae03ac5597c632dd23fd0a5c7f337 | Python | gurlwithcurlz/hackday_django_test | /backend/power_analysis/models.py | UTF-8 | 1,502 | 2.765625 | 3 | [] | no_license | from django.db import models
import numpy as np
from scipy.stats import norm, ttest_ind, ttest_ind_from_stats
def binomial_std(n, p):
"""Calculate the standard deviation of the sample i.e. sqrt( var(X/n) ) or standard error."""
return np.sqrt(p*(1 - p)/n)
# Create your models here.
class PowerAnalysis(model... | true |
05f3075883fb76081dab850a71ca33c2162d4a6a | Python | talkowski-lab/rCNV2 | /data_curation/other/curate_gnomad_sv_gene_counts.py | UTF-8 | 3,058 | 2.578125 | 3 | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | permissive | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2020 Ryan L. Collins <rlcollins@g.harvard.edu>
# and the Talkowski Laboratory
# Distributed under terms of the MIT license.
"""
Curates counts of functional SVs from gnomAD-SV VCF
"""
import pandas as pd
import numpy as np
import argparse
from os.path i... | true |
cf8a29c6366c0759d6b1c4c33dda9e658af5c03c | Python | ArakelyanEdgar/MachineLearningAlgorithms | /SVR/svr.py | UTF-8 | 1,089 | 3.125 | 3 | [] | no_license | #SVR
#importing libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import statsmodels.formula.api as sm
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import OneHotEncoder
from sklearn.preprocessing import Polyno... | true |
34dc9e5bc782e41718c86374e453af8f6c266a12 | Python | simuxs123/Python | /exercise/exercise9.py | UTF-8 | 522 | 3.734375 | 4 | [] | no_license | import random
a = random.randint(1, 9)
kiek=0;
while True:
inpt=input("Guess the number:")
if inpt=="exit":
break
if inpt.isnumeric():
if a==int(inpt):
print("Corect, you did",kiek,"guesses")
print("Play again")
a = random.randint(1, 9)
kiek=0... | true |
7607d066f6dcd9cd9fd4efb25191d435f69f6135 | Python | lukas-manduch/spoj | /ADDREV/adding_reversed_numbers.py | UTF-8 | 132 | 3.296875 | 3 | [] | no_license | i = int(input())
while i > 0:
i -= 1
arr = input().split()
print(int(str(int(arr[0][::-1]) + int(arr[1][::-1]))[::-1]))
| true |
491619af3190e0edbde90d9c3e045578a84704f4 | Python | rodrigocarlos2/TermoGeralPA | /source.py | UTF-8 | 183 | 3.5 | 4 | [] | no_license |
a1 = input('Write the first name: ')
r = input('Write the reason: ')
n = input('Write the wished element number: ')
an = a1+(n-1)*r
print(an)
while a1<=an:
print(a1),
a1 += r
| true |
906ebfcb9c624728e45a9f57ec87d4f99d6657a8 | Python | marcosD67/HackerEarth | /MayEasy/subsets.py | UTF-8 | 101 | 2.734375 | 3 | [] | no_license | #Result: 60/100
#Solved: 2:06:45
#Mainly meant to test their testcases.
n = int(input())
print(n) | true |
79b5ae6675325b55477fca9f6c7a5b59fa37a2ab | Python | dbgithub/recommender-systems | /recommendationasaservice/utils.py | UTF-8 | 1,719 | 3 | 3 | [] | no_license | """
This module is called 'utils' because it owns miscellaneous methods that can come in handy
in different scenarios throughout the project/application.
For instance, statistics methods, subroutines for main methods in main, etc.
"""
__author__ = "Aitor De Blas Granja"
__email__ = "aitor.deblas@ugent.be"
from main ... | true |
a28b98295caac98462e1e408e94ac1067aa84078 | Python | rgommers/scipy | /scipy/stats/tests/test_odds_ratio.py | UTF-8 | 6,705 | 2.609375 | 3 | [
"BSL-1.0",
"BSD-2-Clause",
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"Qhull",
"BSD-3-Clause"
] | permissive | import pytest
import numpy as np
from numpy.testing import assert_equal, assert_allclose
from .._discrete_distns import nchypergeom_fisher, hypergeom
from scipy.stats._odds_ratio import odds_ratio
from .data.fisher_exact_results_from_r import data
class TestOddsRatio:
@pytest.mark.parametrize('parameters, rresul... | true |
22118959ff67e0105463724ec921e4874058ea06 | Python | marchampson/cbir_api | /cbir/quantize_example.py | UTF-8 | 1,222 | 2.703125 | 3 | [] | no_license | from __future__ import print_function
from mainwaring.ir import BagOfVisualWords
from sklearn.metrics import pairwise
import numpy as np
# rand gen vocabular/cluster centers along with the feature vectors, we'll generate 10 FV containing
# 6 real-valued entries, along with a codebook containing 3 'visual words'
np.ran... | true |
958a6d467305cfa427ee92c93773ebd60f38d986 | Python | RVaishnavi-999/Advanced-Python-Programs | /Employee payroll programpy.py | UTF-8 | 701 | 3.890625 | 4 | [] | no_license | # -*- coding: utf-8 -*-
"""
@author: Vaishnavi R
"""
"""8. Program to calculate the employee weekly payroll using method
overloading concept."""
class emp:
def weekly_pay(self,whrs=None,pay=None,ohrs=None):
if whrs!=None and pay!=None and ohrs!=None:
total=whrs*pay+ohrs*pay
print("t... | true |
ad0ed6bfab03bb63177aaba00ed38c565acfe944 | Python | jnaneshjain/PythonProjects | /com/underscorepython/pythonunderscoreinterpretor.py | UTF-8 | 165 | 3.0625 | 3 | [] | no_license | '''
>>> 5 + 4
9
>>> _ # stores the result of the above expression
9
>>> _ + 6
15
>>> _
15
>>> a = _ # assigning the value of _ to another variable
>>> a
15
''' | true |
971fef3cce531b8247a4d35a8d3ea1e5cf30fb80 | Python | gitman00/Pygame | /Demo Collision/collision_file.py | UTF-8 | 952 | 2.953125 | 3 | [] | no_license | import pygame as p
p.init()
SCREEN_WIDTH,SCREEN_HEIGHT=1100,2250
SCREEN=p.display.set_mode((SCREEN_WIDTH,SCREEN_HEIGHT))
rect1=p.Rect(500,500,200,200)
x_speed,y_speed=5,-4
rect2=p.Rect(400,1000,200,400)
rect2_speed=2
def moving_rect():
global x_speed,y_speed
rect1.x += x_speed
rect1.y += y_speed
if rect1.r... | true |
ab0061747c4085c779edaba1567fb455198e9acf | Python | JZDBB/tensorflow | /basis/session_basis.py | UTF-8 | 597 | 3.421875 | 3 | [] | no_license | # tf.Session()
# 创建一个会话，当上下文管理器退出时会话关闭和资源释放自动完成。
#
# tf.Session().as_default()
# 创建一个默认会话，当上下文管理器退出时会话没有关闭，还可以通过调用会话进行run()和eval()操作.
import tensorflow as tf
a = tf.constant(1.0)
b = tf.constant(2.0)
with tf.Session() as sess:
print(a.eval())
print(b.eval(session=sess))
a = tf.constant(1.0)
b = tf.constant(2.0)
wit... | true |
bf847af14dbea2c27ea4ab879d495b3e6da0134c | Python | JY-Justin/pydailynotes | /pach/test_002.py | UTF-8 | 2,442 | 3.734375 | 4 | [] | no_license | # python 解析库 lxml
from lxml import etree
text = '''
<div>
<ul>
<li class="item-0"><a href="link1.html">first item</a></li>
<li class="item-1"><a href="link2.html">second item</a></li>
<li class="item-inactive"><a href="link3.html">third item</a></li>
<li class="item-1"><a href="... | true |
2bfee52174d8686c1042c2d372a6c78f8a38b48b | Python | Hanler/Project-bio-beta | /animation.py | UTF-8 | 819 | 2.875 | 3 | [] | no_license | from PyQt5 import QtCore
class Animation():
@property
def center(self):
return self._center
def animation(self, lb, x_center, y_center, parent):
initial_rect = QtCore.QRect(
x_center,
y_center,
171,
171
)
zoom_factor... | true |
185b94d18e39bcbdbeb5e11dfb31169eb8a75e3e | Python | pulakanamnikitha/nikki | /21.py | UTF-8 | 56 | 2.828125 | 3 | [] | no_license | a,b,c=map(int,raw_input().split())
s=b+c
c=s*a
print(c)
| true |
14852021adb74dfdc2a3ec52f39119ec2d759e15 | Python | JosiahRooney/Python | /sum.py | UTF-8 | 99 | 3.3125 | 3 | [
"MIT"
] | permissive | def sumArray(arr):
sum = 0
for x in arr:
sum += x
return sum
print sumArray([1,2,5,10,255,3]) | true |
afa89c20f7c3dd75db788dc8d325363bb72c369b | Python | SuperZG/MyPythonLearning | /my_first_project/day3/chapter9/demo4（持续追加）.py | UTF-8 | 373 | 3.328125 | 3 | [] | no_license | with open('D:\\inout9\\multi2.txt', 'w') as example:
flag = True
while flag:
message = input('Input anything, quit to exit:\n')
if message == 'quit':
flag = False
else:
message = message + '\n'
example.write(message)
with open('D:\\inout9\\multi2.txt'... | true |
a0bd848d8d6b45213fe6788efab634ecc4cec125 | Python | SahilMund/A_ML_Cheatsheets | /Machine Learning A-Z Template Folder/Part 1 - Data Preprocessing/datapreprocessingtamplete.py | UTF-8 | 616 | 2.921875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
#importing the data set
dataset = pd.read_csv("Data.csv")
#distinguishing bn independent and dependent coloumns in dataset
X = dataset.iloc [:, :-1].values
Y=dataset.iloc[:,3]
#splitting data into test and train sets
from ... | true |
d1f788d554e9cea1f9656901af308bca0d431cb5 | Python | chui101/covid-vis | /calculate_trends.py | UTF-8 | 2,982 | 3.171875 | 3 | [] | no_license | #!/usr/bin/python3
import numpy
from states import state_info, state_historic_data
from matplotlib import pyplot
def growth_rate(data, data_name='positive'):
values = map(lambda x: 0 if (data_name not in x or x[data_name] is None) else x[data_name], data)
nonzero = filter(lambda x: x > 0, values)
y = numpy... | true |
783648533d356a7e8db1e3e04e55b2fc61f0332a | Python | neilrobertson/BICRCode | /Baselib/genemapping/genelookup.py | UTF-8 | 2,683 | 3.09375 | 3 | [] | no_license | # class for looking up information about a gene
# so far includes:
# - coordinate lookup (what coord for gene x?)
# - name lookup (given gene id, provide common name?)
# - interval overlap (given interval, what genes overlap?)
from genemapping.coordlookup import *
from datastructures.genomicintervalfinder import *
cl... | true |
40a64286d5cd10347dc43c6f6dbd8eefa8b2edaa | Python | shujji/iot | /snk/AnalogLight/al2.py | UTF-8 | 1,166 | 2.78125 | 3 | [] | no_license | #!/usr/bin/env python
# Example for RC timing reading for Raspberry Pi
# Must be used with GPIO 0.3.1a or later - earlier verions
# are not fast enough!
import RPi.GPIO as GPIO, time, os
import requests
import time
import datetime
from time import gmtime, strftime
DEBUG = 1
GPIO.setmode(GPIO.BCM)
today = dat... | true |
ec4018b16a5f78247377ce139b7117969499d5d2 | Python | abhishek8899/Space-Invaders | /classes.py | UTF-8 | 362 | 2.984375 | 3 | [] | no_license | class freeze():
def __init__(self, x, y, ti):
self.x = x
self.y = y
self.t = ti
class fire():
def __init__(self, x, y):
self.x = x
self.y = y
class fire1(fire):
def __init__(self, x, y):
fire.__init__(self, x, y)
class fire2(fire):
def __init__(self,... | true |
0a3eb7fbfb6dd0731c4f17f065d8c8e206abe293 | Python | F1schGott/CSC108 | /A1/admission_functions.py | UTF-8 | 4,545 | 3.9375 | 4 | [] | no_license | """Starter code for Assignment 1 CSC108 Summer 2018"""
SPECIAL_CASE_SCHOOL_1 = 'Fort McMurray Composite High'
SPECIAL_CASE_SCHOOL_2 = 'Father Mercredi High School'
SPECIAL_CASE_YEAR = '2017'
# Add other constants here
DEGREE_LEN = 6
COURSE_LEN = 9
def is_special_case(record: str) -> bool:
"""Return True iff the... | true |
6bc6815baa190c14aa42dd41a854930f3e6c61e2 | Python | facelessuser/sublime-markdown-popups | /st3/mdpopups/coloraide/spaces/ipt.py | UTF-8 | 2,871 | 2.65625 | 3 | [
"MIT"
] | permissive | """
The IPT color space.
https://www.researchgate.net/publication/\
221677980_Development_and_Testing_of_a_Color_Space_IPT_with_Improved_Hue_Uniformity.
"""
from ..spaces import Space, Labish
from ..channels import Channel, FLG_MIRROR_PERCENT
from ..cat import WHITES
from .. import algebra as alg
from ..types import V... | true |
1c4b589a00eea38377806ffdcba657aac40f3261 | Python | khua19/k | /flower.py | UTF-8 | 261 | 3.84375 | 4 | [] | no_license | import turtle
window = turtle.Screen()
flower=turtle.Turtle()
for i in range(25):
flower.forward(150)
flower.left(90)
flower.forward(150)
flower.left(90)
flower.forward(150)
flower.left(90)
flower.forward(150)
flower.left(75)
| true |
5140804f171aa8d6e8306c338549ee4d7f1b2dbe | Python | rootcoma/imageglitch | /image_glitch.py | UTF-8 | 24,387 | 2.734375 | 3 | [
"MIT"
] | permissive | import ctypes
from OpenGL import GL as gl
from PIL import Image
import sdl2
from shader_filters import *
import random
DEF_WINDOW_WIDTH = 1024
DEF_WINDOW_HEIGHT = 768
class View:
"""
Holds coordinates for navigating ortho view
"""
offset = (0.0, 0.0)
zoom = 1
def reset(se... | true |
119bcc198438a5c304bba7d3824e007f12b828d5 | Python | avielb/DevOps0803 | /11.py | UTF-8 | 356 | 3.15625 | 3 | [] | no_license | myfile = open("read_my_contents.txt", "r")
all_lines = myfile.readlines()
for line in all_lines:
print(line, end='')
myfile.close()
my_new_file = open("my_file.txt", "w")
my_new_file.write("Hello my file....")
my_new_file.close()
my_other_file = open("read_my_contents.txt", "a")
my_other_file.write("\nthis is th... | true |
2cdeb1295969b6e9d21e01202713432f050a021f | Python | turner3467/football_scores | /scripts/download.py | UTF-8 | 1,206 | 2.765625 | 3 | [] | no_license | #! /usr/bin/env python
import csv
import urllib.request as req
import io
base_url = "http://football-data.co.uk/mmz4281/" # 1516/E0.csv
seasons = [str(i % 100).zfill(2) + str((i + 1) % 100).zfill(2)
for i in range(100, 116)]
leagues = [1, 2]
cntry = {"eng": "E",
"ger": "D",
"fra": "F",
... | true |
60d40adc65941e4f13ab2a1daac1ed64b71fde5e | Python | iCodeIN/pe | /test/test__parse.py | UTF-8 | 3,317 | 2.84375 | 3 | [
"MIT"
] | permissive |
from pe.operators import (
Dot,
Literal,
Class,
Sequence,
Choice,
Optional,
Star,
Plus,
Nonterminal,
And,
Not,
Capture,
Bind,
)
from pe._parse import loads
def eloads(s):
start, defmap = loads(s)
return defmap[start]
def test_loads_dot():
assert eload... | true |
34055eba8478acc8b7fe99b62b1268a1855f1cbc | Python | nathantheinventor/solved-problems | /URI Online Judge/Beginner/1017 Fuel Spent/fuel.py | UTF-8 | 56 | 2.546875 | 3 | [] | no_license | print("{:.3f}".format(int(input()) * int(input()) / 12)) | true |
113dd3323512d928c75262939970dfb2d43d69f6 | Python | ChanceQZ/rs-img-classification | /src/readTif.py | UTF-8 | 353 | 2.5625 | 3 | [] | no_license |
import cv2
import numpy as np
import tifffile
img = tifffile.imread('678.tif')
a = img[:,:,0]+img[:,:,1]+img[:,:,2]
b = np.zeros(a.shape, dtype=np.uint8)
b[np.where(a == 0)] = 255
print(img.shape, np.max(img))
cv2.namedWindow("Image")
cv2.imshow("Image", cv2.resize(b, (img.shape[0]//10, img.shape[1]//10)))
cv2.wai... | true |
6188784782489cd05bc1e843a03216e728968647 | Python | StasyaZlato/Home-Work | /2016-2017/classworks/programming_test.py | UTF-8 | 1,528 | 3.671875 | 4 | [] | no_license | #Задание1. Открыть файл и вывести на экран строчки, содержащие союз
with open ('freq.txt', 'r', encoding = 'utf-8') as f:
lines = f.readlines ()
for line in lines:
if 'союз' in line:
print (line)
#Задание2. Распечатать через запятую все существительные женского рода
#единственного числа и... | true |
142077bb9333312704700bde57afb717423c0017 | Python | emarahimself/mnist-pytorch | /dataset.py | UTF-8 | 3,654 | 2.875 | 3 | [] | no_license | import idx2numpy
from sklearn import preprocessing
from sklearn.datasets import load_iris, load_digits, make_blobs
from sklearn.model_selection import train_test_split
import numpy as np
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA
class DatasetBase:
x_train = None
x_test = None
y_... | true |
8ffb9e82c988e8a26e41b8f39025f79e25df8327 | Python | AleksanderKarmazin/Test_july_2020 | /test.py | UTF-8 | 10,710 | 2.953125 | 3 | [
"Apache-2.0"
] | permissive | import time
from selenium import webdriver
import pytest
from selenium.common.exceptions import ElementClickInterceptedException, NoSuchElementException
from loginPage import LoginPage
from homePage import HomePage
@pytest.mark.usefixtures("driver_init")
class Test_Class_01():
# ТС_1.1. Логин с корректным ID по... | true |
77ad1958758f8a399d137006b7eab0b92f900673 | Python | davidcolton/bitesofpy | /304/max_letter.py | UTF-8 | 1,258 | 3.765625 | 4 | [] | no_license | from typing import Tuple
from collections import Counter
import re
def max_letter_word(text) -> Tuple[str, str, int]:
"""
Find the word in text with the most repeated letters. If more than one word
has the highest number of repeated letters choose the first one. Return a
tuple of the word, th... | true |
dba44ccc13d136c8a703806e079aa30b96b2d197 | Python | levit123/Basic-Python-Projects | /Budget/Budget.py | UTF-8 | 579 | 4.03125 | 4 | [] | no_license | #new function named "calcBills"
def calcBills():
#creates a variable with the following properties
myBills = {'Electric': 120.00, 'Rent': 1200.00, 'Water_Sewer': 60.00, 'Car_Insurance': 75.00, 'Phone': 65.00}
#creates an integer and sets its value to 0
total = 0
#uses a for loop to add all the numbe... | true |
62b37d7d3843b46916ad86b61a882f1e1bdc2f9d | Python | otak007/RailNL | /code/algorithms/depth_first.py | UTF-8 | 6,128 | 2.90625 | 3 | [] | no_license | from code.classes.map import Map
from code.classes.stations import Station
from code.classes.traject import Traject
import copy
import csv
import matplotlib.pyplot as plt
def all_stations(distance, color, map, all_critical, max_time, crit_stations, steps):
## Goes over all start stations and chooses best traject... | true |
81aa66e73d243eae8768e1461f83acbeab3591d2 | Python | DanielBaudry/makemegreen | /engine/footprint.py | UTF-8 | 4,481 | 2.59375 | 3 | [] | no_license | """ Footprint """
from models import BaseObject, Footprint, User, FootprintType
from engine import dictionnary as info
from flask import current_app as app
class BadUserException(Exception):
pass
class BadArgException(Exception):
pass
class ComputeFootprint:
def __init__(self):
pass
def ge... | true |
72c304aa7723b031632e35521b6b044ca579ac55 | Python | erasta/blockly-cv2 | /prj/water/code.py | UTF-8 | 274 | 2.609375 | 3 | [] | no_license |
import cv2
import numpy as np
image = cv2.imread('media/lena.jpg',1)
markers = [(10,10), (100,100), None]
water = cv2.watershed(image,markers)
print(water)
cv2.imshow('mywin',image)
cv2.imshow('watershed',water)
if cv2.waitKey(0)&0xff == 27:
pass
cv2.destroyAllWindows() | true |
1900ebf9d609ac767d5e0349077683068fa1055e | Python | tuxmsantos/exemple02 | /operations.py | UTF-8 | 129 | 3.515625 | 4 | [] | no_license | num1 = input("digite o primeiro numero....:")
num2 = input("digite o segundo numero.....:")
total = int(num1 / num2)
print total | true |