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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
7b62691a1c877d01e69fc89db89745678495039e | Python | ankan17/popper | /cli/popper/commands/cmd_parameters.py | UTF-8 | 2,491 | 2.5625 | 3 | [
"MIT"
] | permissive | import click
import popper.utils as pu
import sys
from popper.cli import pass_context
from popper.exceptions import UsageError
@click.command('parameters', short_help='Parametrize a pipeline pipeline.')
@click.argument('pipeline', required=False)
@click.option(
'--add',
multiple=True,
help='Add a set of ... | true |
c4571a920987e85e13fba28e7a3eaf9d5c119662 | Python | wolfdale/10MinutesEmailWrapper | /tinker.py | UTF-8 | 157 | 2.625 | 3 | [
"MIT"
] | permissive | //USe this to copy to clipboard
from Tkinter import Tk
r = Tk()
r.withdraw()
r.clipboard_clear()
r.clipboard_append('i can copy to clipboardz?')
r.destroy()
| true |
33a2b73840a156308c375037b36e3e07bbd52218 | Python | zuzinmeko/Python_lessons | /Chapter1/numError.py | UTF-8 | 231 | 3.125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri Sep 3 12:16:58 2021
@author: hp
"""
from math import sinh, exp, e, pi
x = 2*pi
r1 = sinh(x)
r2 = 0.5*(exp(x) - exp(-x))
r3 = 0.5*(e**x - e**(-x))
print('%.16f %.16f %.16f' % (r1,r2,r3)) | true |
900dcfbea1790d43f3c68324dcf3df3afa194321 | Python | WalLee2/holbertonschool-higher_level_programming | /0x04-python-more_data_structures/10-best_score.py | UTF-8 | 145 | 2.71875 | 3 | [] | no_license | #!/usr/bin/python3
def best_score(my_dict):
if not my_dict:
return None
winner = max(my_dict, key=my_dict.get)
return winner
| true |
1da265d06ef1143bdeefcc36b22892e52c39b6f0 | Python | leekyeongm727/pythonProject | /chapter4/4-4.py | UTF-8 | 132 | 2.921875 | 3 | [] | no_license | n,m = map(int, input().split())
x,y,d = map(int, input().split()) #캐릭터가 서 있는 위치 (x,y), 바라보고 있는 방향
| true |
26938f2bd4d9e5b010bffa0251d4041bf6639f72 | Python | MellaLee/hello-vue-django | /backend/algorithm/step/preprocessing.py | UTF-8 | 525 | 2.734375 | 3 | [
"Unlicense"
] | permissive | #暂时无需对数据进行预处理，此文件不需要运行
import pandas as pd
import os
date = '2018.06.04'
csv_file_path = r'D:\GraduationThesis\graduation-code\hello-vue-django\backend/algorithm/download/originData/' + date
def startRun():
os.chdir(csv_file_path)
files = os.listdir(csv_file_path)
for filename in files:
print (f... | true |
1dfe1b4973d6a482a4ccc9583213e7b494e3a9c8 | Python | basaima/----------- | /定义函数.py | UTF-8 | 803 | 3.8125 | 4 | [] | no_license | '''def mya(x):
# x=int(input(':>'))
if not isinstance(x,(int,float)):#对参数类型做检查，只允许整数和浮点数类型的参数数据类型检查可以用内置函数isinstance()实现
raise TypeError('bad op type')
#if not isinstance(x, (int, float)):
# raise TypeError('bad operand type')#
if x>=0:
print (x)
return x
else:
p... | true |
3e638d3e84875ece33777569bdcb102d9173e217 | Python | tiqwab/atcoder | /abc214/c/main.py | UTF-8 | 561 | 2.53125 | 3 | [] | no_license | def main():
N = int(input())
ss = [int(x) for x in input().split(' ')]
ts = [int(x) for x in input().split(' ')]
min_idx = -1
min_t = 1000 * 1000 * 1000 + 10
for i, t in enumerate(ts):
if t < min_t:
min_idx = i
min_t = t
acc = min_t
i = min_idx
ans =... | true |
7f4e29b658017688565963c06b3b2880ca11c58d | Python | ronnyandersson/zignal | /examples/ex_chunks.py | UTF-8 | 2,547 | 3.40625 | 3 | [
"MIT"
] | permissive | '''
Created on 12 Apr 2020
@author: Ronny Andersson (ronny@andersson.tk)
@copyright: (c) 2020 Ronny Andersson
@license: MIT
Demo of how to iterate over an instance of the Audio class, for chunk-based
processing. Typically the chunks have a size that is a power of two, for
example 256, 1024 or 4096. In this example th... | true |
e418f6cc0874131a6f6354e7b847fde0281ed10e | Python | lumc-python/functions-bdmvantol | /Functions_Exercise 1.py | UTF-8 | 233 | 3.4375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 27 10:37:28 2019
@author: Bianca
"""
def max(number1, number2):
if number1 > number2:
return(number1)
else:
return(number2)
print(max(13,16))
print(max(25,3)) | true |
424c0377c193a830799020c8a43b8879ad397bc0 | Python | fernandaassi/minicurso-python | /minicurso-Python/aula-2/listas/ex-6.py | UTF-8 | 420 | 4.5 | 4 | [] | no_license | '''
***** Exercício 6 *****
Dada a seguinte lista: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] imprima somente os números pares
dessa lista.
'''
# Cria a lista
lista = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
# Armazena os números pares na lista "pares"
# Para isso é usado a indexação, começando no index 0, indo até o index 10 e pulando
... | true |
3f6ff09a8bd21d80a95ad5474b8cd6bf76c0cf9b | Python | luisa-brueser/OSESM_1st-Homework | /function.py | UTF-8 | 1,034 | 2.828125 | 3 | [
"Apache-2.0"
] | permissive | # -*- coding: utf-8 -*-
"""
Created on Wed May 6 09:32:28 2020
@author: zwickl-nb
"""
# function from the lecture for testing
def add(a, b):
return a + b
# check whether enough capacities are available
# note: yet not able to include a panda framework to test_validate
# that is why data type int ... | true |
ffd70d93a5121222a71190938f4a85b88f8cd8a1 | Python | shengng325/LeetCode.py | /subsetSum.py | UTF-8 | 470 | 3.125 | 3 | [] | no_license | def allSubsetSum(array):
subsetSumArray = []
allSubsetSumHelper(array, 0, subsetSumArray, 0)
return subsetSumArray
def allSubsetSumHelper(array, idx, subsetSumArray, curSum):
if idx >= len(array):
subsetSumArray.append(curSum)
return
allSubsetSumHelper(array, idx + 1, subsetSumArra... | true |
cf9f6e3dc97b16a0136d233d5597e0f7583ef4cc | Python | littlebai3618/bspider | /bspider/master/controller/node.py | UTF-8 | 2,750 | 2.828125 | 3 | [
"BSD-3-Clause"
] | permissive | """
所有和 Agent 进行交互的操作收缩到 node 蓝图下
1. 提供注册接口用于注册新 node
2. 删除接口删除节点 node 停止节点下所有work => 删除worker 表中节点对应的所有信息 => 停止Agent进程(supervisor)
4. 查询接口查询 节点信息 返回节点和节点下已经注册的所有worker信息
5. 停止节点
6. 启动节点
5. 在节点下启动并在master注册一个worker 启动进程 => 成功后注册进表单
6. 在节点下停止一个 worker 停止进程 status 设置为0
7. 在节点下重启一个 worker 停止进程、启动进程
8. 删除一个 worker 停止进程并删除... | true |
249876f932451357a66c1a97efe3eccf161e3124 | Python | drewvlaz/CODE2RACE | /SOLUTIONS/yP_ASCIIProduct.py | UTF-8 | 92 | 3.375 | 3 | [] | no_license | var= input()
lvar= list(var)
x=1
for a in range(0, len(lvar)):
x= x*ord(lvar[a])
print(x)
| true |
92989873a31ff82a1f6b57c7f5fa369b7c63e5b0 | Python | HitanshuSoni/Python_practice | /DemoTupleToList.py | UTF-8 | 265 | 3.109375 | 3 | [] | no_license | tup1=(32,43,65,67,[54,89],98,76,(65,94,92));
lst1=list(tup1)
lst2=[]
i=0
for val in lst1:
if isinstance(val,tuple):
lst2=list(val)
lst2[0]=99
tup2=tuple(lst2)
lst1[i]=tup2
i+=1
tup1=tuple(lst1)
print(tup1)
| true |
884ad78ec019f27a3121d8740188285fbf3de707 | Python | 13scoobie/advent-of-code | /2020/day3/problem_3_part_1.py | UTF-8 | 1,381 | 3.796875 | 4 | [] | no_license | # Turns out you get greeted with this message:
# Puzzle inputs differ by user. Please log in to get your puzzle input.
# which is pretty cool :)
# might look later at cookie or something, just use browser and copy for now
"""
import requests
def get_puzzle():
resp = requests.get("https://adventofcode.com/2020/day... | true |
a2cac84658f3fb38615671f19a9e1f88d8d8f531 | Python | anarkia7115/g4g | /coin_change/sol.py | UTF-8 | 2,477 | 3.0625 | 3 | [] | no_license | MAX_COIN_SIZE = 399
class CoinChange(object):
def __init__(self):
self.methods_limited_by_coin = dict()
pass
def save_and_return(self, big_money, coin_change, methods_count):
if big_money not in self.methods_limited_by_coin:
self.methods_limited_by_coin[big_money] = dict()... | true |
805f46ee69b508241c5e28de4433519e6348c581 | Python | raghuu14/Scrambling-of-text | /scrambled.py | UTF-8 | 506 | 2.921875 | 3 | [] | no_license | import random
f = open("C:\\Users\\Admin\\Documents\\my doc\\sample.txt","r")
f1 = open("C:\\Users\\Admin\\Documents\\my doc\\samplescrambled.txt","w")
newone = f.read()
word1 = newone.split()
for i in word1 :
if len(i) <= 3 :
f1.write(i)
f1.write(" ")
else :
data = i[1:-1]
... | true |
d2445d8fafc27fcfc18924064f1699409fd9345c | Python | ADExxxxxx/local_libary | /机器学习相关/SupportVector.py | UTF-8 | 2,761 | 2.921875 | 3 | [] | no_license | """
item: 支持向量机相关算法实现
author by WIT_lyp
timestamp: 2019/11/6 18:14
"""
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.svm import SVC
from datetime import datetime
from sklearn.metrics import accuracy_score, \
precision_score, recall_score, f1_score, cohen_kappa_score
im... | true |
c948c898e0ba49e1bccdcba614a972737164319f | Python | cepGH1/dfesw3cep | /pyth5.py | UTF-8 | 331 | 3.6875 | 4 | [] | no_license | colNum = int(input("how many columns would you like? "))
rowNum = int(input("how many rows would you like? "))
print(colNum*rowNum)
my2DArray = [[0 for col in range(colNum)] for row in range(rowNum)]
print(my2DArray)
for row in range(rowNum):
for col in range(colNum):
my2DArray[row][col] = row*col
print(m... | true |
6cf1b5e30d10795ee616e33e8073e3841fee6946 | Python | rlandesman/CS103-pythonDataStructures | /Huffman Project/huffman.py | UTF-8 | 13,889 | 3.78125 | 4 | [] | no_license | # ----------------< Module Imports >-----------------
import unittest
import os.path
import array_list
from linked_list import *
from huffman_bits_io import *
# ----------------< Class for Leaf >-----------------
class Leaf:
def __init__(self,ordinal,count):
self.ordinal = ordinal
self.count = coun... | true |
58c454f4780bebc8d05fbbbb449c2c2b582471d7 | Python | williamfhe/advent-of-code-2017 | /Day 25/turing_part1.py | UTF-8 | 1,103 | 3.109375 | 3 | [] | no_license | from collections import defaultdict
state_actions = {
'A': {
0: { "write": 1, "move": +1, "next": 'B' },
1: { "write": 0, "move": -1, "next": 'B' }
},
'B': {
0: { "write": 1, "move": -1, "next": 'C' },
1: { "write": 0, "move": +1, "next": 'E' }
},
'C': {
0... | true |
2dc4841435f5df54dd74d094b59050d0355bf065 | Python | nimiq-community/python-client | /example/example.py | UTF-8 | 685 | 2.671875 | 3 | [
"Apache-2.0"
] | permissive | from nimiqclient import *
# Create Nimiq RPC client
client = NimiqClient(
scheme="http", user="luna", password="moon", host="127.0.0.1", port=8648
)
try:
# Get consensus
consensus = client.consensus()
print("Consensus: {0}".format(consensus))
if consensus == ConsensusState.ESTABLISHED:
# ... | true |
b84ce12ac90eb740f40d1816fd4a27b2c6abb351 | Python | Aasthaengg/IBMdataset | /Python_codes/p02850/s676832975.py | UTF-8 | 744 | 2.640625 | 3 | [] | no_license | n=int(input())
kotaezyun=[]
renketu=[[] for i in range(n+1)]
ans_dict={}
for i in range(n-1):
a,b=map(int, input().split())
renketu[a].append(b)
kotaezyun.append([a,b])
from collections import deque
que=deque()
que.append(1)
iro=[-1]*(n+1)
iro[1]=0
irokazu=0
tansaku_moto=[1]
while que:
tansaku_moto... | true |
14c3f8918577b40f06aa60ac1bb9b7c7e3b4abec | Python | hicdnh/Adong_Chen_GitProject | /Auto_UI_Test/main.py | UTF-8 | 976 | 2.59375 | 3 | [] | no_license | #!usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/5/23 15:03
# @Author : Adong_Chen
# @Email : hicdnh@163.com
import settings
from selenium import webdriver
import cases
import time
def get_func_names(__driver):
cases_lst = []
for i in settings.SMOKE_TEST_CASES:
case = getattr(cases.smoketest.Smo... | true |
0ec4b53467e922d70597374ed4b3cdaf948c9a9a | Python | Aasthaengg/IBMdataset | /Python_codes/p03239/s101251567.py | UTF-8 | 217 | 2.59375 | 3 | [] | no_license | N, T = map(int, input().split())
l = []
for _ in range(N):
l.append(tuple(map(int, input().split())))
di = dict(l)
keys = [k for k, v in di.items() if v <=T]
if keys:
print(min(keys))
else:
print("TLE") | true |
cc05afe64f2b2bc80343b70741513fc24229dba4 | Python | ZhaoQian888/try | /try.py | UTF-8 | 890 | 3.640625 | 4 | [] | no_license | class employee:
def __init__(self, *args, **kwargs):
self.name=args[0]
self.position=args[1]
print("I am employee")
pass
def funcion1(self,*args):
print(args)
pass
class employer:
def __init__(self, *args, **kwargs):
print("my name is ",args[0])
pass
x... | true |
486b23ce39f551793d587b2fcf061f6e97aa8c2b | Python | Kawser-nerd/CLCDSA | /Source Codes/AtCoder/abc057/B/4881622.py | UTF-8 | 261 | 2.578125 | 3 | [] | no_license | N,M=map(int,input().split())
X=[list(map(int,input().split())) for i in range(N)]
check=[list(map(int,input().split())) for i in range(M)]
for x,y in X:
dist=[abs(x-c[0])+abs(y-c[1]) for c in check]
MIN=min(dist)
print(dist.index(MIN)+1) | true |
6d385c812a4babd165040d17f7c5ffe3f12184e7 | Python | praneethreddypanyam/DataStructures-Algorithms | /Graphs/MinimumCostPath.py | UTF-8 | 1,561 | 2.6875 | 3 | [] | no_license | from collections import deque
import sys
row = [-1,1,0,0]
col = [0,0,1,-1]
def valid(i,j,m,n,visited):
return i >=0 and i < m and j >=0 and j < n and visited[i][j] == False
def shortestPath(srcI,srcJ,posI,posJ,n,m,a):
global row, col
if posI == srcI and posJ == srcJ:
return a[posI][posJ]
visi... | true |
5acf7bafbdb2b96842549d8c34a086c6e59987d3 | Python | AlexanderLazarev/emc-game | /python/log_functions.py | UTF-8 | 977 | 2.921875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
# Модуль с функциями для логирования
import datetime
from constants import LOG_DIR
def log(message, prefix = 'Main'):
prefix = '[' + prefix + ']'
now = datetime.datetime.today()
date = now.strftime("%m.%d.%Y")
time = now.strftime("%H:%M:%S")
log_file = open(LOG_DIR + 'log_'... | true |
32006dfceb4c6d3ce013c2aeda3d1de8b451a72c | Python | NandakrishnanR/intermediate-programming | /Desktop/opencv/leap.py | UTF-8 | 689 | 4.28125 | 4 | [] | no_license | year = 2000
# To get year (integer input) from the user
# year = int(input("Enter a year: "))
if (year % 4) == 0:
if (year % 100) == 0:
if (year % 400) == 0:
print("{0} is a leap year".format(year))
else:
print("{0} is not a leap year".format(year))
else:
print("{0} is a... | true |
b5f3743448d2ad35595dac571ff72e65d4d65a64 | Python | srik1040/hackerrank-py-solutions | /Introduction/py-if-else.py | UTF-8 | 230 | 3.34375 | 3 | [] | no_license | N = int(raw_input().strip())
if N % 2 != 0:
print "Weird"
elif N % 2 == 0:
if N>=2 and N<=5:
print "Not Weird"
elif N >=6 and N <= 20:
print "Weird"
elif N > 20:
print "Not Weird" | true |
f4d5ff9145aaef162bd2d157bd598d3443908659 | Python | shlokabhardwaj/housing_eda | /life cycle of project part 1.py | UTF-8 | 830 | 3.1875 | 3 | [] | no_license | ## ...............................LIFE CYCLE OF PROJECT..................................
## 1. Data Analysis
## 2.Feature Engineering
## 3. Feature Selection
## 4. Model Building
## 5. Model Deployment
##..................................Data Analysis...................................
import pandas as pd
im... | true |
16067f3f643be904d5756ad3568a43accf1a223f | Python | iang12/grafo_labirinto_binario | /grafo.py | UTF-8 | 2,524 | 3.203125 | 3 | [] | no_license | from random import *
matriz_grafo = []
matriz_visitas = []
lista_de_posicoes = []
posicao_inicial = []
posicao_final = []
lista_de_passos = []
passo = 1
#matriz de visitas
#print(matriz_visitas)
f = open("entrada.txt", "r")
dim = f.readline().replace("\n","").split(" ")
n = int(dim[0]) #numero de linh... | true |
e6ace0a0e8f736935ae5f4b074e68aa98f6338a5 | Python | rohbot/Singing-Plants-python | /PdConnection.py | UTF-8 | 768 | 3.0625 | 3 | [] | no_license | import socket
class PdConnection:
def __init__(self, address, port):
self.__address = address
self.__port = port
self.__socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.__connect()
def __enter__(self):
return self
def __exit__(self, type, value, tra... | true |
1766b5e7dc60da51f4c630776b5cb9769f1c190f | Python | jchenluo/Src-Assert-Collection | /core/util.py | UTF-8 | 1,389 | 2.5625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
# @Time : 2020/5/27 11:47
# @Author : huha
import os,re,urllib3
from selenium import webdriver
urllib3.disable_warnings()
# 正则匹配获取一级域名
def get_one_level_domain(path):
key_list = []
with open (path,'r',encoding='utf-8') as f:
url = f.readline()
while url:
url_... | true |
8cc6cf370c2e35f1624181f4c143d5b8bc05a49a | Python | Aasthaengg/IBMdataset | /Python_codes/p02616/s988680128.py | UTF-8 | 1,360 | 2.875 | 3 | [] | no_license | def make_set_list(array,valid):
new_array = []
for i in range(len(array)//2):
new_array.append(array[2*i]*array[2*i+1])
if len(array)%2 == 1 and valid == 1:
new_array.append(array[len(array)-1])
return new_array
N, K = list(map(int,input().split()))
As = list(map(int,input().split()))
p... | true |
6c1332178f8ceb620f5782e5f7dc86c94aa48c64 | Python | JuanPabloGonzalezA/Analytics | /16x32/16x32_meses.py | UTF-8 | 1,892 | 2.96875 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as anm
dias=["Lunes","Martes","Miercoles","Jueves","Viernes","Sabado","Domingo","Festivo","Antes Festivo"]
cdias=[42,52,47,49,51,52,42,15,15]
n=9
datos=np.loadtxt('choques3.txt').reshape((31,14,n))#y,x,d
print datos.shape
print datos[7,6,0]... | true |
f07c1274273afa1a8887600189a0ba9001861ae9 | Python | raushan007/InstaAutomation | /unfollow.py | UTF-8 | 2,034 | 2.953125 | 3 | [] | no_license |
#importing all library
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from time import sleep
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support.ui import Select
from selenium.webdriver.c... | true |
8a41037dab86e01a3c6a390483f7733084cb4c68 | Python | nopasanadamindy/Algorithms | /01. List 1/02. List1 실습/전기버스_1.py | UTF-8 | 1,389 | 3.234375 | 3 | [] | no_license | def find(power):
last = 0 + K # 0 다음부터 시작
cnt = 0
while last < N: # 도착보다 작은 동안에
# 충전소 있으면 cnt 증가
if power[last]:
cnt += 1
# 충전소 없으면 충전기를 찾을 때 까지 이동 위치를 K-1, K-2처럼 하나씩 줄여감
# 만약 K=0이 되면 종점에 도착할 수 없는 경우임
else:
i = 0
flag = 0 # 0... | true |
a0ba7c94e1a24729f1c4e35015200035a6159f8b | Python | britig/Document-Summerization | /TextRank.py | UTF-8 | 6,790 | 3.296875 | 3 | [] | no_license | # program for implementation of TextRank for summarization of a given text document
import os
#importing nltk package for preprocessing steps
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from operator import itemgetter
import... | true |
0de35fa3441ef0f26aef4fd8cf388b07d2b24762 | Python | mrtwon/ShopScript | /DatabaseLogicJobs.py | UTF-8 | 1,732 | 3.0625 | 3 | [] | no_license | import sqlite3
import DatabaseQuery
class DBJobClass:
db = DatabaseQuery.MainDatabaseQuery()
queryCreate = "CREATE TABLE job(id integer primary key, summery text)"
queryUpdateJob = "INSERT INTO job(summery) VALUES('{}')"
queryGetData = "SELECT summery FROM job ORDER BY id DESC LIMIT 1"
queryGetID... | true |
e4a29b11f6b9b53acecdc85ece9225d4fca9379f | Python | plahteenlahti/tiras20 | /fliptwo.py | UTF-8 | 271 | 3.25 | 3 | [] | no_license | from collections import deque
def solve(n,k):
l = deque(range(1,n+1))
for i in range(k):
l.append(l[1])
l.append(l[0])
l.popleft()
l.popleft()
return l[0]
if __name__ == "__main__":
print(solve(4,3)) # 4
print(solve(12,5)) # 11
print(solve(99,555)) # 11 | true |
1e4dfd5976b2642e94fb56beee9c408637927318 | Python | BahaNordi/TicTacPillClassification | /data_loader/tictac_loader.py | UTF-8 | 1,763 | 2.5625 | 3 | [] | no_license | import os
import numpy as np
# import scipy.misc as misc
import torch
from torch.utils import data
from train_utils.train_config import config
from PIL import Image
class TicTacLoader(data.Dataset):
def __init__(self, root_dir, tictac_file_list, augmentations=None, transform_image=None):
self.augmentati... | true |
eb04c695161e0acf7dbc54505c1384735742fb6a | Python | weishengteo/storage | /FIT1045/w11labtasks/w11t1.py | UTF-8 | 2,534 | 3.46875 | 3 | [] | no_license | #Name = Teo Wei Sheng
#Student ID = 29800668
#Date = 28 May 2019
#Workshop 11
#Task 1
heap = [1,3,2,7,4,8]
def min_child(v, heap):
left = 2*v + 1
right = 2*v + 2
if right>len(heap)-1 and left<=len(heap)-1:
return left
elif heap[right]> heap[left]:
return left
elif he... | true |
e60843e589078155424101371ae1d596e3107d15 | Python | CraigLangford/Python-Mini-Projects | /Phone-Book/phonebook_project/phonebook_project/phonebook/tests.py | UTF-8 | 1,325 | 2.71875 | 3 | [
"MIT"
] | permissive | from django.test import TestCase
from django.core.urlresolvers import resolve
from .models import Book, Contact
class TableAndItemsModelTest(TestCase):
def test_saving_and_retrieving_items(self):
book = Book()
book.save()
first_contact = Contact()
first_contact.first_name = "Char... | true |
d91a644ba53fca954d79a453b908f5bfefa4952a | Python | cosmonautd/STSIM | /vehicle.py | UTF-8 | 685 | 3.109375 | 3 | [] | no_license | class Vehicle:
def __init__(self, G, initial, terminal):
self.map = G
self.initial = initial
self.terminal = terminal
self.current = initial
self.path = None
self.next = None
def set_path(self, path):
self.path = path
self.next = 1
def get_... | true |
d8687c506503dfd70bc816802646b7f8d4f30fe4 | Python | Sandylin520/Python_Learning | /L08_OOP/8.1_oop.py | UTF-8 | 1,695 | 4.59375 | 5 | [] | no_license | #EX_1
class Sample():
pass
my_sample = Sample()
print(type(my_sample))#<class '__main__.Sample'>
#EX_2
class Dog():
def __init__(self,breed):
self.breed = breed
my_dog = Dog(breed='Lab')
print(type(my_dog))
print(my_dog.breed)#Lab
#EX_3
class Cat:
#Class object attribute
#Same for any instan... | true |
b950f3a4a9af892d13596394f88816c03c6b35d0 | Python | Robin-Wujw/leetcode_py | /005.py | UTF-8 | 1,980 | 3.8125 | 4 | [] | no_license | # class Solution:
# def __init__(self):
# self.longestSize = 0
# self.longestStart = 0
# def longestPalindrome(self, s):
# """
# :type s: str
# :rtype: str
# """
# for index, value in enumerate(s):
# self.checkOddPalindrome(s, index)
# ... | true |
248f681b381123bd16c2dbf3900fda01d9f8d1eb | Python | bsolisduran/MyLogbookApp | /StatisticsFrame.py | UTF-8 | 7,692 | 3.109375 | 3 | [] | no_license | import datetime as dt
import tkinter as tk
from globals import *
from models.HeaderFrame import HeaderFrame
from models.LogbookDataFrame import LogbookDataFrame
class StatisticsFrame(tk.Frame):
def __init__(self, parent, *args, **kwargs):
tk.Frame.__init__(self, parent, *args, **kwargs)
self.par... | true |
1b4599299049c790ba1a7d87c8925af80b2645e5 | Python | YiSoJeong/Algorithm_Python | /SW/List/4837_부분집합의 합.py | UTF-8 | 655 | 3.140625 | 3 | [] | no_license | import sys
sys.stdin = open('../String/sample_input.txt', 'r')
# 분류 : Greedy
# 발상 : 전체 부분집합 중에서 n개인 것 골라야 해서
# 변형 : 전체를 탐색하되 조건이 맞는 경우의 수만 비교
# 조합 : 비트 연산자 -> 모든 부분 집합 구할 때
T = int(input())
for t in range(1, T+1):
n, k = map(int, input().split())
arr = [i for i in range(1, 13)]
cnt = 0
for i in range(... | true |
9eec159e7b30cbb87cb7d7f69fbe7d4d40e1377f | Python | ChipoXD/ProjectEuler | /Problems/Problem1-20/Problem17.py | UTF-8 | 2,214 | 3.640625 | 4 | [] | no_license | # ProblemURL: https://projecteuler.net/problem=17
def numberspelled(argin):
onesDigitSpell = {0: "", 1: "one", 2: "two", 3: "three", 4: "four", 5: "five", 6: "six", 7: "seven", 8: "eight",
9: "nine"}
tensDigitSpell = {0: "", 1: "teen", 2: "twenty", 3: "thirty", 4: "forty", 5: "fifty", 6: "... | true |
95df91b656f51211f1870cc16f0f8474ff84990b | Python | giriprasad23/Cloud-Projects | /Cloud_Assignment_1/src/project1/all_stuff.py | UTF-8 | 3,340 | 2.625 | 3 | [] | no_license | '''
Created on Feb 9, 2015
@author: Puneeth U Bharadwaj
'''
import gnupg
from pprint import pprint
def exportkeys():
gpg = gnupg.GPG()
ascii_armored_public_keys = gpg.export_keys('66C8F2C8')
ascii_armored_private_keys = gpg.export_keys('66C8F2C8', True)
with open('pub_keys.asc', 'w') as f:
f.... | true |
bf52369bb71e84dbc644e3ca11f30d2cd8adc171 | Python | gabriellaec/desoft-analise-exercicios | /backup/user_337/ch2_2020_03_07_22_57_31_327752.py | UTF-8 | 103 | 2.6875 | 3 | [] | no_license | def calcula_velocidade_media (distancia, tempo):
velocidade = distancia/tempo
return velocidade | true |
309fb9fb149db56143147d2376f71699f3e071e0 | Python | ac998/Machine_failure_prediction | /models/lstm_utils.py | UTF-8 | 8,449 | 2.671875 | 3 | [] | no_license | import pandas as pd
import numpy as np
import sklearn
from sklearn import metrics
from sklearn.metrics import mean_absolute_error
from sklearn.metrics import r2_score
from sklearn.metrics import mean_squared_error
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split, cross... | true |
8edf4c62c7c3011bd047b3048da0794524b9f357 | Python | eliasanzoategui/Estudo039 | /progamas/teste de progamação02.py | UTF-8 | 6,522 | 2.8125 | 3 | [] | no_license |
import random
def ativar(neuronios,entrada,limiar):
x = 0
for i in neuronios:
x += entrada*i['peso']+i['bias']
if x <= limiar:
return 0
else:
return x
def ajustes(neuronios,taxa_de_erro):
x = 0
for i in neuronios:
x += 1
return taxa_de_erro/x
n... | true |
3d3d34da9d188e9106b0880858ceddf3cb010c23 | Python | anyezhihu/Python2.7 | /project/Crawl_Linux_Cmd/crawl/Crawl_Linux_CMD_V2.py | UTF-8 | 8,042 | 2.875 | 3 | [] | no_license | #coding=utf-8
"""
相比于版本1的函数式做法，第2版采用了面向对象的方法。
"""
import chardet
import time
import re
import urllib2
import sqlite3
import sys
import os
#定义程序运行起始时间
Process_Begin_Time=time.time()
#设置系统默认字符集
reload(sys)
sys.setdefaultencoding('utf-8')
print "当前IDE环境默认字符集：%s" % sys.getdefaultencoding()
#定义数据库模块
class DB(object):
... | true |
b722ec0aafb246944128840596932ba08eda31d6 | Python | resource-watch/cartosql.py | /cartosql/cli.py | UTF-8 | 2,933 | 3.125 | 3 | [
"MIT"
] | permissive | '''
Utility library for interacting with CARTO via the SQL API
Usage:
csql (post|get) [options] <sql>
csql select [options] <fields> <table> [-w <where>] [-o <order>] [-l <limit>]
csql ls [options]
csql exists [options] <table>
csql drop [options] [--confirm] <table>
Options:
-h --help Print this text
-u <u... | true |
b2c916e28dcd41fb63110272c20501bce649ae6f | Python | zaxhutchinson/leylines | /ley_debug.py | UTF-8 | 405 | 3.21875 | 3 | [] | no_license | ############################################
# ley_debugger.py
#
# Print messages to console, if debugging is on.
#
###########################################
class Debugger:
def __init__(self, is_active=False):
self.is_active = is_active
def makeActive(self):
self.is_active = True
def makeInactive(self):
s... | true |
79ad3c8aad3a4cbff77eef19ea9edffa1e93ad37 | Python | btannenw/CMS_machineLearning | /diHiggsMLProject/higgsReconstruction/plotterClass.py | UTF-8 | 2,431 | 2.640625 | 3 | [] | no_license | ## Author: Ben Tannenwald
## Date: April 3, 2019
## Purpose: Class to hold functions for plotting stuff
import os
import matplotlib.pyplot as plt
class hepPlotter:
def __init__ (self, _subdirectoryName):
# Class Defaults
self.transparency = 0.5 # transparency of plots
self.subdirec... | true |
43f74e26baea3691cd6902670181ba70aebfc70e | Python | Kose-i/python_test | /BaseKnowledge/iterator/iterator.py | UTF-8 | 523 | 3.59375 | 4 | [
"Unlicense"
] | permissive | #! /usr/bin/env python3
def func1():
x = iter([1,2,3,21,43,4])
print(x)
print(next(x))
def func2():
def generator():
yield 1
yield 2
yield 3
yield 4
for e in generator():
print(e)
def func3():
def func3_inner():
receive = 0
receive = (yield receive)
print("receive =", rec... | true |
b5a6b5804bf877240a8e7ba5771ff3cd789042d3 | Python | pratiksan45/Python3.7 | /fibonacci.py | UTF-8 | 252 | 3.921875 | 4 | [] | no_license | def fibonacci_seq(n):
a=0
b=1
print(a, end=' ')
print(b, end=' ')
for i in range(1,n-1):
c=a+b
a=b
b=c
print(c, end=' ')
num=int(input("Enter any Number\n"))
fibonacci_seq(num) | true |
26b9b9b62c5b31b158f9241eb05cbe2678634605 | Python | gauravshilpakar/WhatsThatGenre-DeployedModel | /models/model_app.py | UTF-8 | 3,510 | 2.890625 | 3 | [] | no_license | import os
import sys
import argparse
from joblib import load
from tensorflow.keras.models import load_model
from models.make_dataset import make_dataset_dl
import numpy as np
import matplotlib.pyplot as plt
class AppManager:
def __init__(self, args, model, genres):
self.args = args
self.genres = ... | true |
c42631a29e2da6dbf13c2c947c398c637d97bdf7 | Python | JazimLatif/Bubble-chamber-image-analysis | /CleanupCode.py | UTF-8 | 1,581 | 3.265625 | 3 | [] | no_license | import PIL
from PIL import Image
import requests
from io import BytesIO
from PIL import ImageFilter
from PIL import ImageEnhance
from IPython.display import display
import numpy as np
import imageio
import matplotlib.pyplot as plt
#add path to the image file
filename = R'C:\Users\clarkj5\Documents\Python Scr... | true |
c838a60d0718f41f1942cd4316e8df6b2edfc481 | Python | YLyeliang/MSI_FCN | /core/metrics.py | UTF-8 | 6,222 | 2.703125 | 3 | [] | no_license | import os
import tensorflow as tf
import numpy as np
from PIL import Image
def fast_hist(a, b, n):
k = (a >= 0) & (a < n)
return tf.math.bincount(n * a[k].astype(int) + b[k], minlength=n ** 2).reshape(n, n)
def get_hist(predictions, labels):
"""
This is for multi-classes metric calculation by calcul... | true |
4f5f4aadfeabb13790b417b334c5f73c6d0345a7 | Python | KomorebiL/OJ | /stack_from_queue.py | UTF-8 | 896 | 3.859375 | 4 | [] | no_license | from queue import Queue
class Stack:
def __init__(self):
self.q1 = Queue()
self.q2 = Queue()
def empty(self):
return self.q1.empty()
def push(self, element):
if self.empty():
self.q1.enqueue(element)
else:
self.q2.enqueue(element)
... | true |
d14b0e7748d04a61a8faaeb3ae035c39b39456de | Python | TurtleZhong/Particle_Filter_Demo | /particle_filter_demo.py | UTF-8 | 7,274 | 3.5 | 4 | [] | no_license | """
This project is an implement of particle filter.
* Author: ZhongXinliang
* Email: xinliangzhong@foxmail.com
* Date: 2018.01.17
"""
from math import *
import random
import cv2
import numpy as np
landmarks = [[20.0, 20.0], [80.0, 80.0], [20.0, 80.0], [80.0, 20.0]]
world_size = 100.0
class Robot:
"""
This c... | true |
8fa8256e07cb9811b891de414f14a3e111968cee | Python | zhou-jia-ming/leetcode-py | /interview_04_04.py | UTF-8 | 1,553 | 3.453125 | 3 | [] | no_license | # coding:utf-8
# Created by: Jiaming
# Created at: 2020-04-29
from typing import *
from utils import TreeNode, generate_tree, null
class Solution:
def isBalanced(self, root: TreeNode) -> bool:
# 遍历每个节点的深度比较，总复杂度为O(nlogn)
if not root:
return True
if not root.left and not root.... | true |
876ad37f67416ae4925f9752d5cec876d7bc5f6b | Python | Isaivargas/neuronalNetwork | /artificialNeuron.py | UTF-8 | 3,149 | 2.796875 | 3 | [] | no_license |
#Single Artificial Neuron.
#created by Isaí vargas Chávez-Age 19 All rigths reserved /Users/Isai/eclipse-workspace/Perceptron/src/NeuronalNetworks/ArtificialNeuron.java@
# Compilador Clang 6.0 (clang-600.0.57)] on darwin.
# version 1.0.
# 03/02/2018 in Mexico City.
import random
class Neuron :
#Atributes
... | true |
7542c60d21a4224c8ab498821f562327660ddf30 | Python | MengyingGIRL/python-100-days-learning | /Day07/set2.py | UTF-8 | 508 | 3.234375 | 3 | [] | no_license | '''
集合的常用操作
- 交集
- 并集
- 差集
- 子集
- 超集
@Time : 2020/1/14 9:57
@Author : wangmengying
@File : set2.py
'''
def main():
set1 = set(range(1,7))
print(set1)
set2 = set(range(2,11,2))
print(set2)
set3 = set(range(1,5))
print(set3)
print(set1 & set2)
print(set1 | set2)
print(set1 ^ set2)
... | true |
195d0d700dd7c3690b9ca6c8ff44e133fcb0d88d | Python | oskar404/aoc | /aoc2020/day09.py | UTF-8 | 1,795 | 3.515625 | 4 | [] | no_license | #!/usr/bin/env python3
import sys
def get_xmas_weakness(data, preamble, verbose=False):
index = None
value = None
assert preamble < len(data), f"Not enough data for preamble: {preamble}"
for i in range(preamble, len(data)):
v = data[i]
window = data[i - preamble : i]
if verbos... | true |
b400761e381a92c31028b05657434617563002dc | Python | matthewnorman/geosearch | /tests/test_geosearch.py | UTF-8 | 3,601 | 3 | 3 | [
"MIT"
] | permissive | import pytest
import random
import geohash
from haversine import haversine
from unittest import mock
from geosearch import geolocate
def test_encoding_decoding():
"""
Let's see if we can locate the Palace of Westminster.
:return:
"""
ID = 1
geolocator = geolocate.LatLonGeolocator()
geolo... | true |
9233c2e1eb62c1a58241a30c89fcdf74db63c719 | Python | python-practice-b02-006/PhilippK | /Lab_3/task1_from_Sinitsa.py | UTF-8 | 2,735 | 3.40625 | 3 | [] | no_license | import pygame
import numpy as np
from pygame.draw import *
pygame.init()
FPS = 30
screen = pygame.display.set_mode((400, 400))
YELLOW = (255, 255, 0)
BLACK = (0, 0, 0)
RED = (255, 0, 0)
WHITE = (255, 255, 255)
def main():
pygame.display.update()
clock = pygame.time.Clock()
finished = False
... | true |
90cd45178baf6d355676d5bc92d3a681483f2d5c | Python | stubird/micStudy | /leetcode/SubsConc.py | UTF-8 | 1,046 | 2.78125 | 3 | [] | no_license | """
Copyright 2018 (c) Jinxin Xie
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in... | true |
491d66647320943e147e84dd3f7089b8f6e77e9a | Python | bethewind/pylite | /tests/range/next.py | UTF-8 | 119 | 3.1875 | 3 | [] | no_license | range_object = range(10)
iterator = range_object.__iter__()
while True:
item = iterator.__next__()
print(item)
| true |
2012382ba2ae3caed4b22425cc1537ed1cd6d2c6 | Python | portobello-boy/Pokemon-Data-Visualization | /mpltest.py | UTF-8 | 7,497 | 3.109375 | 3 | [] | no_license | import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
import itertools
from chord import Chord
from math import pi
data = pd.read_csv("Pokemon.csv")
# Associate a color with each type:
colors = {
"Grass": "#7AC74C",
"Fire": "#EE8130",
"Water": "#6390F0",
"Bug": "... | true |
c23c21616ef7af5d63b0c57178fc9cd8509973c2 | Python | dbreddyAI/ml-deploy | /pred.py | UTF-8 | 1,019 | 2.890625 | 3 | [] | no_license | """
Script for sending data to the server to make predictions
"""
import pandas as pd
import json
import requests
# Run gunicorn from the terminal:
# gunicorn --bind 0.0.0.0:8000 server:app
header = {'Content-Type': 'application/json', \
'Accept': 'application/json'}
test_x = pd.read_csv("pr... | true |
de0f98ebe77ffef07c8a0bc0df90906139e54d1a | Python | shyzik93/dna_simulator | /dnasim/enzyme/dna_methyltransferase.py | UTF-8 | 438 | 2.625 | 3 | [] | no_license | from dnasim.enzyme.enzyme import Enzyme
class DNAMethyltransferase(Enzyme):
def __init__(self, can_restrict=False, can_methylate=True):
"""
Объект фермента Метилтрансфераза
https://en.wikipedia.org/wiki/DNA_methyltransferase
"""
ec_number = None # TODO: Указать Шифр КФ для... | true |
d6445c04d394b6aecac89051e77d501f9528d5c0 | Python | celord/PythonGreencore | /ExamenFinal/ej7.py | UTF-8 | 441 | 3.578125 | 4 | [] | no_license | """
Modo sólo escritura posicionándose al final del archivo (a).
En este caso se crea el archivo, si no existe, pero en caso
de que exista se posiciona al final, manteniendo el contenido original.
Y agregar texto a su criterio
"""
def prepararArchivo(a):
try:
f = open(a,'a+')
return f
except:
print('Error')
de... | true |
38479e3a31d252665a8cf395686806960755afc4 | Python | mrallc/retro | /extensions/sqlite/sqlite.py | UTF-8 | 1,408 | 2.609375 | 3 | [
"ISC"
] | permissive | # rxSQL ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Copyright (c) 2010 - 2011, Charles Childers
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Filesystem based interface to sqlite3
#
# Usage
# - Write SQL query to file named 'sql'
# - Create a file name... | true |
51467d60c52f0dc84ce1b218219eb60bcf456027 | Python | ytangjf/CS498_AppliedMachineLearning | /HW1/prob1/main.py | UTF-8 | 4,266 | 3.328125 | 3 | [] | no_license | # Example of Naive Bayes implemented from Scratch in Python
import csv
import random
import math
def loadCsv(filename):
lines = csv.reader(open(filename, "r"))
dataset = list(lines)
for i in range(len(dataset)):
temp = [float(x) for x in dataset[i]]
# values = [None if x == 0 else... | true |
79164f880b3e724b02f45bb7f00e046bad2a70d7 | Python | 49257620/reboot | /studysrc/mytest/re/retest003.py | UTF-8 | 1,836 | 3.59375 | 4 | [] | no_license | # encoding: utf-8
# Author: LW
import re
"""
\A 匹配字符串开始位置 等于 ^
\Z 匹配字符串结束位置 等于 $
"""
print(' \A 匹配字符串开始位置 等于 ^')
print(' \Z 匹配字符串结束位置 等于 $')
print('-' * 50)
"""
\b 匹配单词边界
"""
print(' \\b 匹配单词边界 ')
print("re.findall(r'\\babc\\b','abc.com')",re.findall(r'\babc\b','abc.com'))
print("re.findall(r'\\babc\\b','(abc).... | true |
87b96df02437f4e2e965a12136fab7bcd8a90429 | Python | aoeu/DWIM | /tests/rules/test_git_bisect_usage.py | UTF-8 | 1,030 | 2.5625 | 3 | [
"MIT"
] | permissive | import pytest
from tests.utils import Command
from dwim.rules.git_bisect_usage import match, get_new_command
@pytest.fixture
def stderr():
return ("usage: git bisect [help|start|bad|good|new|old"
"|terms|skip|next|reset|visualize|replay|log|run]")
@pytest.mark.parametrize('script', [
'git bisect... | true |
ed4932a7d405f63ba8c42181f5ef544a5e6e4cab | Python | VanillaHellen/VanillaBot | /vanilla_bot.py | UTF-8 | 8,148 | 2.71875 | 3 | [] | no_license | from pathlib import Path
from discord.ext import commands
import discord
import random
import json
import mysql.connector
import datetime
import os
import requests
import io
import aiohttp
script_location = Path(__file__).absolute().parent
db_data = {}
db_data['user']=os.environ['DB_USER']
db_data['password']=os.envi... | true |
3b9693f0f4a95406cf24e8861180a7911b07c6e5 | Python | ManosB435/PythonPorgramms | /Python Programms/OPAP.py | UTF-8 | 1,096 | 3.15625 | 3 | [] | no_license | import requests
import json
import datetime
from collections import Counter
d = datetime.datetime.now()
M = d.strftime("%m")
if d.hour < 9:
D = d.day-1
else:
D = d.day
Numbers = []
for i in range(1, D+1):
number_str = str(i)
A = number_str.zfill(2)
x = requests.get('https://api.o... | true |
489ca1e5d88a19c208504e36e5f7f096a862d03b | Python | IanSMoyes/SpiderPi | /Lights/adafruit-circuitpython-bundle-6.x-mpy-20210310/examples/rfm9x_transmit.py | UTF-8 | 2,032 | 3.015625 | 3 | [
"Apache-2.0"
] | permissive | # SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries
# SPDX-License-Identifier: MIT
# Example to send a packet periodically
# Author: Jerry Needell
#
import time
import board
import busio
import digitalio
import adafruit_rfm9x
# set the time interval (seconds) for sending packets
transmit_inter... | true |
a8bd6b6abd4836b810b82d265e73b4a059f0870f | Python | idleyui/ml-in-action | /02-knn/knn_letter_recognition.py | UTF-8 | 1,216 | 3.078125 | 3 | [] | no_license | # -*- coding: UTF-8 -*-
import numpy as np
from collections import Counter
def classify0(test_data, data_set, labels, k):
diff = np.tile(test_data, (data_set.shape[0], 1)) - data_set
distances = (diff ** 2).sum(axis=1) ** 0.5
k_labels = labels[distances.argsort()[:k]]
return Counter(k_labels).most_com... | true |
b474ad1b9d2976ad9a0ac056d74fc6ee04b1c2f2 | Python | MichaelSchmidt82/sound-count | /utils.py | UTF-8 | 2,613 | 2.609375 | 3 | [
"MIT"
] | permissive | """
MIT License
Copyright (c) 2018 Michael Schmidt
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publis... | true |
0a5ccca3ff94d21e588ad4663ee2ba7d7aa768cd | Python | smartnova/sgvis | /src/stream_graph.py | UTF-8 | 3,172 | 3.078125 | 3 | [] | no_license | import time
from z3 import *
import functools
from render.render_stream_graph import render_stream_graph
from random import randint
import sys
def optimize_stream_graph(nodes, edges):
s = Optimize()
L = len(nodes)
# Index
index = [Int('i_%s' % i) for i in range(L)]
index_choices = [And(index[i... | true |
ce5d58c76c9a11829d6c45ad108c4f0952282f1b | Python | PetKimQA/Practice_1 | /radioButton-validationfailed.py | UTF-8 | 4,095 | 2.796875 | 3 | [] | no_license | from selenium import webdriver
driver = webdriver.Chrome("C:/Users/PetruKim/Desktop/Automation/chromedriver.exe")
driver.get("https://www.seleniumeasy.com/test/basic-radiobutton-demo.html")
#locators
maleRadioIndv = driver.find_element_by_xpath('//*[@id="easycont"]/div/div[2]/div[1]/div[2]/label[1]/input')
fem... | true |
6b22158574c7f2eeae4ac042a3f11edd64f52781 | Python | danluna/TourMap | /crawl.py | UTF-8 | 2,119 | 2.765625 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
unicode_Error_Counter = 0
def tour_spider(max_year):
year = 1982
page = 1
fw = open('metallica_data.txt', 'w')
while year <= max_year:
url = 'http://www.metallica.com/tour_date_list.asp?year=' + str(year) + '&page=' + str(page)
source_code = requests.get(url)
p... | true |
6c6157dd9fb61dabfd5d407d4becda7386a70698 | Python | Techercise/Nobel_Peace_Lecture_Analyis_with_NLP | /htmlparser.py | UTF-8 | 605 | 2.6875 | 3 | [] | no_license | # This function comes from StackOverflow user Eloff at:
# https://stackoverflow.com/questions/753052/strip-html-from-strings-in-python/925630#925630 And improved for Python
# 3.2+ by another StackOverflow user Thomas K. here:
# https://stackoverflow.com/questions/11061058/using-htmlparser-in-python-3-2
from abc impor... | true |
7c32796d89262f80b831676d77656daf25b03b85 | Python | Priyanka9496/Whether_app | /The_whether/whether/views.py | UTF-8 | 950 | 2.71875 | 3 | [] | no_license | from django.shortcuts import render
from django.http import HttpResponse
import requests
from .models import City
from .forms import City_Form
# Create your views here.
def weather(request):
cities=City.objects.all()
url = 'http://api.openweathermap.org/data/2.5/weather?q=kochi&units=imperial&appid=YOUR-API-KE... | true |
c698b47d561d136fe348922338a4d5e18283a540 | Python | taizilinger123/pythonjichu | /04-系统编程-1/12-join子进程.py | UTF-8 | 370 | 2.875 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding:utf-8 -*-
from multiprocessing import Process
import time
import random
def test():
for i in range(random.randint(1,5)):
print("-----%d-----"%i)
time.sleep(1)
p = Process(target=test)
p.start()
p.join(1)#堵塞
print("------main-----")
# import time
... | true |
6170abca954e845cef92e28961f508d4010cab25 | Python | bstacy0015/Integration | /POGIL12.py | UTF-8 | 1,513 | 4.53125 | 5 | [] | no_license | """
A calculator that calculates the area of a circle with radius inputted by the
user. Test of functions.
__author__ = Benton Stacy
"""
def circle_area():
"""
The top-level function run in Main.py. Controls all user input,
calculation, and output.
"""
import math # To use pi
def number_form... | true |
41faf4b1e4b3ba74cd3e776203c54b1d6a211980 | Python | FabioCastle5/wil-auiproject | /python_plot/dispersion_evaluation.py | UTF-8 | 2,388 | 3.03125 | 3 | [] | no_license | import string
import re
import math
def low_pass_filter (a, a0, factor):
return (a * factor + (1 - factor) * a0)
filename = "./../arduino/will_measurement_sketch/measure2_ypos.txt"
# open file with data and plot them
in_file = open(filename,"r")
x_list = []
filt_x_list = []
y_list = []
filt_y_list = []
threshold... | true |
c21c5be66d0453b9c4d02b3ebab551b09451d2bb | Python | rmodi6/sentence-representations | /loss.py | UTF-8 | 401 | 2.53125 | 3 | [
"MIT"
] | permissive | import tensorflow as tf
from tensorflow import math
def cross_entropy_loss(logits: tf.Tensor, labels: tf.Tensor) -> tf.Tensor:
# import pdb; pdb.set_trace()
# why is loss 0 sometimes!?
one_hot_labels = tf.one_hot(labels, logits.shape[1])
batch_loss = tf.nn.softmax_cross_entropy_with_logits(one_hot_lab... | true |
c3e3218ec16fa5bbf414ede048d43c3ff138841b | Python | Egemenatilla/Machine-Learning-Essentials | /2)Classification/3) SVM (Support Vector Machine)/2)/Svm2.py | UTF-8 | 1,295 | 3.359375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 1 20:42:24 2021
@author: egeme
"""
# Libraries
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
# Read data from csv file
data = pd.read_csv('data.csv')
# Drop the columns we cannot use
data.drop(["id","Unnamed: 32"],axis=1,inplace=... | true |
6b4f6fd067bc1b0787d34a9cd4b4f08c32d1e412 | Python | markosolopenko/python | /data_structures/singly_linked_list.py | UTF-8 | 2,966 | 3.953125 | 4 | [] | no_license | class Node(object):
def __init__(self, data=None):
self.data = data
self.next = next
# def get_data(self):
# """
# This method like -> @property
# :return:
# """
# return self.data
#
#
# def get_next(self):
# """
# getter
#... | true |