blob_id 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 |
|---|---|---|---|---|---|---|---|---|---|---|
18ed8c811db3d1cbb489c3982b42989b84b0dddf | hattan/ccbot | /tests/test_dogme.py | UTF-8 | 1,436 | 2.515625 | 3 | [] | no_license | import sys
sys.path.append("ccbot")
from ccbot.commands.dogme import DogMe
from ccbot.services.reddit_client import RedditApiClient
from mock import MagicMock
def test_dogme_url_is_puppies_subreddit():
dogme = DogMe()
assert dogme.url == "https://www.reddit.com/r/puppies.json"
def test_dogme_commandtext... | true |
a499edf5ec517820992285d8d406dcaec70460ad | Cpharles/Python | /CursoEmVideo/Aula_12/ex038-COmparando Numeros.py | UTF-8 | 497 | 4.59375 | 5 | [] | no_license | """Exercício Python 038:
Escreva um programa que leia dois números inteiros e compare-os, mostrando na tela uma mensagem:
- O primeiro valor é maior
- O segundo valor é maior
- Não existe valor maior, os dois são iguais"""
num1 = int(input('Primeiro número:_'))
num2 = int(input('Segundo número:_'))
if num1 > num2:
... | true |
a5ffdaec905f228131c291b77b1388e17af0e90f | jnissin/semantic-segmentation | /src/utils/dataset_utils.py | UTF-8 | 54,892 | 2.65625 | 3 | [] | no_license | # coding=utf-8
import os
import random
import multiprocessing
import time
import numpy as np
from PIL import Image
from joblib import Parallel, delayed
from image_utils import load_img, img_to_array, ImageTransform
from .. import settings
from ..data_set import ImageFile
from ..enums import CoordinateType, ClassWe... | true |
784f256c2ed92466981feb4e04b2f3a66db75c50 | Asbert75/dbwebb-kurser | /python/kmom10/adventure/game.py | UTF-8 | 3,915 | 3.46875 | 3 | [] | no_license | #!/usr/bin/env python3
"""
This is the game "engine". This file contains most of the actual game.
"""
import data
def loadFiles():
"""
Check for wether or not the game is saved previously.
"""
#if not data.saved:
# data.initialize()
#else:
# print("Loading Saved Files")
data.init... | true |
97ec1497d8fa8debdcb5edcb60f61eedd965ab69 | uzi06263614/J | /Test_TPshop/case/test_tpshop.py | UTF-8 | 2,677 | 3.0625 | 3 | [] | no_license | """
编写unittest有关实现
"""
# 导包
import json
import unittest
import requests
from Test_TPshop import app
from Test_TPshop.api.user_api import UserLogin
# 参数化步骤1，导包
from parameterized import parameterized
def read_json():
data = []
with open(app.PRO_PATH + "/data/login_data.json", "r", encoding="utf-8")as f:
... | true |
780e8956ec1c42c64ee12c5331360e879f776c1c | AlanPoveda/ope-1 | /ope-backend/src/core/use_cases/product_use_cases/list_products_use_case.py | UTF-8 | 332 | 2.640625 | 3 | [
"CC0-1.0"
] | permissive | class ListProducts:
def __init__(self, item_repository):
self.item_repository = item_repository
def list(self):
try:
response = self.item_repository.list_products()
return response
except:
return {"data": None, "status": 400, "errors": ["Erro na requ... | true |
c47297a176a50d2dde90dee6742ca5731054bcd6 | DialBird/argo | /yukiko/python/43_baseball_game.py | UTF-8 | 969 | 2.953125 | 3 | [] | no_license | N = int(input())
score_board = [0]*N
results = []
candidate_orders = set([])
def calc():
point = score_board[0]
sort_borad = sorted(score_board)
cnt = 1
for i in sort_borad:
if point < i:
cnt += 1
point = i
candidate_orders.add(cnt)
def check(x, y):
if x == N:
... | true |
deb53cb7d79265f00d9e1c38965bb67cb465ed86 | yebuahk/PlayerRatingPredict | /lr_predictioniModel.py | UTF-8 | 2,309 | 3.203125 | 3 | [] | no_license | """author Kevin Yebuah 7.6.2019
This is to predict player rating
based on features
"""
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
df = pd.read_csv('datafifa.csv')
"""data pre-processing and insights"""
df.columns
df.head(10) # take a look at first 10 rows
df.describe... | true |
2c03c75c014779f1ad599cd5ac06431f3dd70e89 | lmun/competitiveProgramingSolutions | /uva/11559.py | UTF-8 | 294 | 2.8125 | 3 | [] | no_license | try:
while True:
n, b, h, w = map(int,input().split())
res = 2 * b
for i in range(h):
c = int(input())
if max(map(int, input().split())) >= n:
res = min(res, n*c)
if res <= b:
print(res)
else:
print("stay home")
except Exception as e:
pass
else:
pass
finally:
pass | true |
633838e5f113cbd65092d0b595b77b2971ded4c6 | AdamZhouSE/pythonHomework | /Code/CodeRecords/2538/60624/275138.py | UTF-8 | 444 | 2.765625 | 3 | [] | no_license | def func3():
nums = list(map(int, input()[1:-1].split(",")))
length = len(nums)
flag = True
for i in range(length):
while 0 < nums[i] <= length and nums[nums[i] - 1]!=nums[i]:
nums[nums[i]-1], nums[i] = nums[i], nums[nums[i]-1]
for i in range(length):
if nums[i] != i + 1:... | true |
a5641fe47ae45bf281a21239d6b8033728021309 | truseva/python-retrospective-master | /task3/solution.py | UTF-8 | 1,936 | 3.6875 | 4 | [] | no_license | people = []
class Person:
def __init__(self, name, gender, birth_year, father=None,
mother=None):
self.name = name
self.gender = gender
self.birth_year = birth_year
self.father = father
self.mother = mother
people.append(self)
def __setattr__(s... | true |
40e26bbd927b19a78038f895781800637d75071b | PengLU1101/tagger | /Layer/CNN_Layer.py | UTF-8 | 2,279 | 2.84375 | 3 | [] | no_license | import torch
import torch.nn as nn
import torch.nn.init as init
import torch.nn.functional as F
from torch.autograd import Variable
from WeightNorm import WeightNormConv2d
import math
SCALE_WEIGHT = 0.5 ** 0.5
def shape_transform(x):
""" Tranform the size of the tensors to fit for conv input. """
return torch... | true |
3eca9dce01e5bc723b23c1b2531c05910230fc62 | BogdanPasterak/equation-of-two-circles | /comp_languages/python/main.py | UTF-8 | 946 | 3.5 | 4 | [
"MIT"
] | permissive | import math
class Point:
def __init__(self,x,y):
self.x=x
self.y=y
def display(self,p):
print("%s ( %.2f, %.2f )"%(p,self.x,self.y))
# Intersection points of two circle.
def equation(A,r,B,R):
points=[Point(0,0),Point(0,0)]
# Move the layout to the coordinates of the first circle
C=... | true |
515c63a340c9d8224267975a7388c42d004a7330 | dshvets/EAPSI_2016 | /NLP_Abstracts/Sentence_Classification/testing_prep.py | UTF-8 | 1,725 | 2.84375 | 3 | [] | no_license | import re
#script for creating the testing data set
#using the 4 manually curated files will build testing set where sentences match the patterns in the 4 curated files
file_array = ['../Associations.txt','../Is_A.txt','../Found_In.txt','../Involvement.txt']
assoc_list = []
involve_list = []
found_list = []
is_list = ... | true |
fe164164cece1bde1390a07c2dcdf91868e9ad7a | PNikolin/python_selenium_test | /src/test_gmail.py | UTF-8 | 1,254 | 2.765625 | 3 | [] | no_license | import time
from selenium import webdriver
from src.pages.sign_in_page import SignInPage
from src.pages.create_account_page import CreateAccount
driver = webdriver.Chrome("D:\Downloads\Python\chromedriver.exe")
driver.get("https://accounts.google.com/")
validator_error = "Имя пользователя может включать латинские бук... | true |
bd2b9d6bd094bd4f706b6bfe2f8ea99c785d6fd6 | andressalinas98/banda-de-musicos | /Logica/Banda.py | UTF-8 | 682 | 2.890625 | 3 | [] | no_license | from Instrumentos import *
from random import choice
from random import randint
from flask import Flask, render_template, request
app = Flask(__name__)
class Banda():
def inicio():
app.run(debug = True)
@app.route('/')
def crearBanda():
cantidad=3
Lista=[]
InstrumentosList=[Violin(),Guitarra(),Trompeta()]
... | true |
8c9b9a7c891f4fd3260334ef3a97680c9f134763 | wangfengfighting/GPS_Similar | /plot_dbscan.py | UTF-8 | 5,120 | 2.734375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
===================================
Demo of DBSCAN clustering algorithm
===================================
Finds core samples of high density and expands clusters from them.
"""
import numpy as np
from sklearn.cluster import DBSCAN
from sklearn import metrics
from sklearn.datasets.sample... | true |
4093930728781115ab94fae98e5147b8dd1e73dd | andiebalverde/librarymanagement | /myproject/libraries/forms.py | UTF-8 | 487 | 2.546875 | 3 | [] | no_license | from flask_wtf import Form
from wtforms import StringField, IntegerField, SubmitField
class AddForm(Form):
library_id = IntegerField("Id of Library: ")
name = StringField('Name of Library:')
city = StringField('City of Library:')
state = StringField('State:')
postal_code = StringField('Postal Code... | true |
6d925309cb71f3900df0a97eb41c8e9c8cc24511 | mukesh-jogi/python_repo | /Sem-5/pythonmysql/readdata.py | UTF-8 | 473 | 3.4375 | 3 | [] | no_license | import mysql.connector as con
mydb = con.connect(
host = "localhost",
user = 'root',
password = '',
database = 'python_example_db'
)
mycursor = mydb.cursor()
mycursor.execute("select * from student")
firststudent = mycursor.fetchone();
print(firststudent)
students = mycursor.fetchall()
print("List... | true |
1677937e1d58e51df0eba588d409db53c5d4ba45 | garrisonblair/x-rudder | /venv/x-rudder/main.py | UTF-8 | 1,991 | 3.59375 | 4 | [] | no_license | from game import *
from player import *
from random import randint
def main():
print("################################################")
print("##### X - R U D D E R #####")
print("################################################")
while True:
print("\nHow many are playin... | true |
551ccc656a4309012205478a1264d9697a2fada9 | lucasolifreitas/ExerciciosPython | /secao17/exerc7.py | UTF-8 | 1,164 | 4.46875 | 4 | [] | no_license | """
Escreva um código que apresente a classe Circulo, com atributos raio, área e perímetro e, os
métodos calcularArea, calcularPerimetro e imprimir. Os métodos calcularArea e calcularPerímetro devem
efetuar seus respectivos cálculos e colocar os valores nos atributos área e perimetro.
O método imorimir deve mostrar na ... | true |
6337459709d0fec77f171170d3f68d227613f1dc | krwiniarski/Py-Practice | /StudentsDictionary.py | UTF-8 | 1,666 | 3.78125 | 4 | [] | no_license | #utilizing dictionaries
#dictionaries for each subject
English = {}
History = {}
Math = {}
Biology = {}
Spanish = {}
#reads data from file and puts last name and score into correct dictionary
with open('Students.txt') as f:
for line in f:
listedline = line.split()
if len(listedline) > 1:
English[li... | true |
e81fc512c8e1edb40cb515a38d81704f9265744e | gsy/leetcode | /int_to_roman.py | UTF-8 | 1,901 | 3.703125 | 4 | [] | no_license | # -*- coding: utf-8 -*-
class Solution:
def __init__(self):
self.thousands_mapping = {
0: '',
1: 'M',
2: 'MM',
3: 'MMM',
}
self.hundrends_mapping = {
0: '',
1: 'C',
2: 'CC',
3: 'CCC',
... | true |
2fd2e49d07f2bf5a3c00b18f5f0928ce05170f1f | acaciooneto/cursoemvideo | /ex_videos/ex-113.py | UTF-8 | 909 | 4.125 | 4 | [] | no_license | def readint(msg):
while True:
try:
inside = int(input(msg))
return inside
except KeyboardInterrupt:
print("\n\033[31mERROR! The user didn't want to complete the task, i'll assume the value as 0.\033[m")
return 0
except:
print("\033[... | true |
74e4b74100631f741c5727e56e0faf572d3d1bcc | SUSE/teuthology | /teuthology/task/proc_thrasher.py | UTF-8 | 2,404 | 2.84375 | 3 | [
"MIT"
] | permissive | """
Process thrasher
"""
import logging
import gevent
import random
import time
from teuthology.orchestra import run
log = logging.getLogger(__name__)
class ProcThrasher:
""" Kills and restarts some number of the specified process on the specified
remote
"""
def __init__(self, config, remote, *pr... | true |
32a0a2c6685e3a7f59c53b59079a0282d2da22e6 | MauriceDonner/CompPhys | /2_Exerc/Blatt2_2b.py | UTF-8 | 4,683 | 2.796875 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
def rk4_step(y0, x0, f, h, f_args = {}):
k1 = h * f(y0, x0, **f_args)
k2 = h * f(y0 + k1/2., x0 + h/2., **f_args)
k3 = h * f(y0 + k2/2., x0 + h/2., **f_args)
k4 = h * f(y0 + k3, x0 + h, **f_args)
xp1 = x0 + h
yp1 = y0 + 1./6.*(k1 + 2.*k2 +... | true |
d2fa8b784f49fe6d545d75c86c66d94e92ecf25f | brunoterkaly/linux-perfmon | /ParseFreeMemStat.py | UTF-8 | 1,805 | 2.703125 | 3 | [] | no_license | import subprocess
from shutil import copyfile
import sys
import time
import socket
import datetime
def printMessage(s):
print("--------------------------------------------------------")
print(" ", s)
print("--------------------------------------------------------")
def addToFreeMemFile(line):
with open("fre... | true |
435740f22f5466932e0a8845ea9c11fc4c74d4d9 | Dikarsky/suffixtree | /suffixtree.py | UTF-8 | 5,568 | 3 | 3 | [] | no_license | from dataclasses import dataclass, field
from typing import List, Dict, Hashable, Union
from networkx import DiGraph
@dataclass
class Node:
id: int
link: Dict = field(default_factory=dict)
def __hash__(self):
return self.id.__hash__()
def __str__(self) -> str:
return str(self.id)
c... | true |
0ff41a3e9300dd710c0c525fbefa6d009eb9d53a | aiyhome/tempZone | /pytools/ExportConfig/ExportXlxs2Config.py | UTF-8 | 21,228 | 2.546875 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
import sys
import string
import signal
import os
import re
import json
from openpyxl import load_workbook
from enum import Enum
import time
import configparser
def siginit(sigNum, sigHandler):
print("byebye")
sys.exit(1)
signal.signal(signal.SIGI... | true |
956f90818e8e297087daf9b221b33c7aaef8d721 | willgdjones/Fine-mapping | /src/models/bayes_factors.py | UTF-8 | 7,967 | 2.9375 | 3 | [] | no_license |
# coding: utf-8
# In[1]:
import numpy
import itertools
import math
from copy import copy
import pdb
### Create selection of SNPs
def select_snps(z, subset):
"""
Given a gene subset and a vector of z-scores, extract out the appropriate z-scores.
"""
return [z[i] for i in subset]
#example
# for subse... | true |
d8730d9894d7523dafd86d40b05539b60ab38680 | greenDNA/Python-Crash-Course | /Exercises/Chapter 6/8.py | UTF-8 | 248 | 3.578125 | 4 | [] | no_license | lucky = {
'animal' : 'dog',
'owner' : 'joe'
}
gato = {
'animal' : 'cat',
'owner' : 'tray'
}
pets = [lucky, gato]
for pet in pets:
for trait, value in pet.items():
print("I know that your {} is: {}".format(trait, value))
| true |
7022f900ce6070398e31508e99996b50c2de4371 | kangkang09/python_class | /Day4/p4.py | UTF-8 | 82 | 3.015625 | 3 | [] | no_license | p = 'As long as you love me'
array = p.split(' ')
length = len(array)
print length | true |
37b2e04569d1b898d3100eb70d5f48d8215e2ffd | Gyutae-Jo/algorithm | /algoTIL/D10/반복문자지우기_조규태.py | UTF-8 | 533 | 3.484375 | 3 | [] | no_license | T = int(input())
for tc in range(1, T+1):
string = input()
while True:
s = [""] * len(string)
top = -1
top += 1
s[top] = string[0]
for i in range(1, len(string)):
if string[i] == s[top]:
s[top] = ""
top -= 1
else:
... | true |
d6342baf3e55b94941a1ca9d788f6ec9b6c69278 | qianjinfighter/py_tutorials | /earlier-2020/python_mod_tutorials/py_thread/thread_communication.py | UTF-8 | 842 | 3.578125 | 4 | [
"Apache-2.0"
] | permissive | #coding:utf-8
from queue import Queue
from threading import Thread
import time
# A thread that produces data
def producer(out_q):
while True:
# Produce some data
# ...
data = 'a str'
out_q.put(data)
# A thread that consumes data
def consumer(in_q):
while True:
# Get som... | true |
f20ec6118104961b01959ff25068df181a9c2103 | NYU-Millimeter-Wave/Roomba-Control | /tarek/turt.py | UTF-8 | 1,139 | 2.765625 | 3 | [] | no_license | from __future__ import division
import Tkinter as tk
import numpy as np
import turtle
#wn= turtle.Screen()
#lam= turtle.Turtle()
app = tk.Tk()
cv = turtle.ScrolledCanvas(app)
cv.pack()
screen=turtle.TurtleScreen(cv)
screen.screensize(1500,1500)
lam= turtle.RawTurtle(screen)
tabdist = [-4, -156, 2, 0, -8, -211, 0, -5... | true |
9dbadb900ea475712ab2447020f62996fa54742b | zhilonglu/kdd_new | /training_weather.py | UTF-8 | 4,121 | 2.515625 | 3 | [] | no_license | __author__ = 'zhilonglu'
from datetime import date,datetime,timedelta
file_suffix = '.csv'
path = 'C:\\Users\\zhilonglu\\Desktop\kdd\\KDDCUP\\'
def transform(in_file1,in_file2):
in_file_name1 = in_file1 + file_suffix
in_file_name2 = in_file2 + file_suffix
# not differ tollgate
volume_total_dict={}
p... | true |
27b251e13a6c7033cd0d52e75630ff4dadcd3248 | WonderBo/PythonLearningDemo | /src/Argument.py | UTF-8 | 1,473 | 4.09375 | 4 | [
"Apache-2.0"
] | permissive | #!/usr/bin/env python
#coding:utf-8
#传入函数的参数可以为整型，字符串，元组，列表，字典
def fun(x):
print x
fun(x="jack")
fun(("jack",23,"male"))
fun(["jack",23,"male"])
fun(range(10)) #range函数返回列表
fun({"name":"jack","age":23,"gender":"male"})
#传入函数的参数为元组或者字典，可以利用*或者**取元组或字典所有值为多个形参赋值 注意：所有值
print "\n"
def fun_1(name,age):
... | true |
b0704e42f0e6bea7f33b905ec6e6ab6bcdb45176 | foucar-manms/TP-DL2 | /code/principal_DBN_alpha.py | UTF-8 | 8,081 | 3.03125 | 3 | [] | no_license | """ On complètera un script principal_DBN_alpha permettant d’apprendre les caractères de la base Binary
AlphaDigits de votre choix via un DBN et de générer des caractères similaires à ceux appris. La
construction de ce programme nécessite les fonctions suivantes
"""
import sys
import os
import numpy as np
impo... | true |
57382ada8496390c319e3be9a374e6f81e188fd8 | vvkond/QGIS | /tig_loader/utils.py | UTF-8 | 754 | 2.625 | 3 | [] | no_license |
class StrictInit(object):
def __init__(self, **kw):
assert not set(kw).difference(dir(self.__class__)), '{0} does not declare fields {1}'.format(self.__class__, list(set(kw).difference(dir(self.__class__))))
self.__dict__.update(kw)
class Args(StrictInit):
args = None
class Exc(Exception):... | true |
430dd3d2dbe05ed37bfa824e0c35c3d1631274f8 | hyein99/Algorithm_programmers | /단계별/Level 2/[1차] 뉴스 클러스터링.py | UTF-8 | 980 | 3.328125 | 3 | [] | no_license | def split_str(s):
str_list = []
sub_s = ''
for i in range(len(s)):
sub_s += s[i]
if len(sub_s) == 2:
if sub_s.isalpha():
str_list.append(sub_s.lower())
sub_s = sub_s[1]
return str_list
def solution(str1, str2):
# 다중집합 만들기
str1_list = sor... | true |
aec3367438c1a074f51701bd2addd48ab71c858b | Nilutpal-Gogoi/LeetCode-Python-Solutions | /LinkedList/Easy/876_MiddleOfTheLinkedList.py | UTF-8 | 1,879 | 4.25 | 4 | [] | no_license | # Given a non-empty, singly linked list with head node head, return a middle node
# of linked list. If there are two middle nodes, return the second middle node.
# Example 1:
# Input: [1,2,3,4,5]
# Output: Node 3 from this list (Serialization: [3,4,5])
# The returned node has value 3. (The judge's serialization ... | true |
4373b1ca421603099a2ed2d424d25266eb8900aa | eggduzao/Costa_TfbsPrediction | /Code/Footprint/footprintTagCount.py | UTF-8 | 2,999 | 2.5625 | 3 | [] | no_license | #################################################################################################
# Receives as input a file with foorprints and outputs the same file but with the tag count
# score (number of DNase reads around that region).
##############################################################################... | true |
eff45fa6dd45f3df923ca4e63c32551349c38b80 | ingmarliibert/dashcam-danger-detection | /presentation-collisions.py | UTF-8 | 2,098 | 2.578125 | 3 | [] | no_license | import cv2
import tensorflow as tf
from PIL import Image
import numpy as np
from object_detection.utils import ops as utils_ops
import warn_user
from collisions import get_collisions
from model.app import object_detection_factory, object_detection_visualize_factory
# CONSTANTS
NB_COLLISION_FRAMES = 3 #frames
COLLISIO... | true |
99e68f5f1c748190f3a827b5831c28597f8f322b | makerlee/web_weixin_api | /wxbot_demo_py3/save_message.py | UTF-8 | 725 | 2.578125 | 3 | [
"Apache-2.0"
] | permissive | #!/usr/bin/env python
# coding: utf-8
import pymysql
"""
jiyang.li create at 2018-01-25
保存历史聊天记录:
文字类型的聊天记录保存到mysql
图片视频的聊天记录保存到硬盘(后期会保存到文件服务器)
"""
class MysqlDao(object):
def __init__(self):
self.host = 'localhost'
self.user = 'root'
self.passwd = 'root'
self.db = 'vdr'... | true |
86864dafb11ade92fb83cce2fff690a5b66aa8c8 | Mulokoshi/Simon-Assignment-1 | /Tut2.Q2 integralcosx.py | UTF-8 | 1,542 | 3 | 3 | [] | no_license | Python 2.7.10 (default, Oct 14 2015, 16:09:02)
[GCC 5.2.1 20151010] on linux2
Type "copyright", "credits" or "license()" for more information.
>>> import numpy as np
>>> import matplotlib.pyplot as plt
>>> np.linspace(0.0, np.pi/2,num=10)
array([ 0. , 0.17453293, 0.34906585, 0.52359878, 0.6981317 ,
... | true |
02674999d13aaabbd6c16312390d77597f636058 | liuzuxin/Deep-Q-Network-and-Model-Predictive-Control-Project | /DQN/DQN-Double/test.py | UTF-8 | 1,768 | 2.65625 | 3 | [
"MIT"
] | permissive | # coding: utf-8
from DQN import *
import gym
from quanser_robots.common import GentlyTerminating
import time
def test():
config_path = "config.yml"
print_config(config_path)
config = load_config(config_path)
training_config = config["training_config"]
config["model_config"]["load_model"] = True
... | true |
731a01db4b109ecaddff302c590eb0bbf29cc7cc | mitan9596/baiduTieba | /baidu.py | UTF-8 | 3,679 | 3.390625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import urllib.error
import urllib.request
import re
from tool import tool
# 百度贴吧爬虫类
class Baidu:
# 初始化
def __init__(self):
# 传入所要爬取得贴吧地址
self.baseURL = input('请输入你想要爬取的贴吧页面:')
# 判断是否只看楼主
judgement = input('是否只看楼主(y/n)')
if judgement == '... | true |
81c2e6fefce93a4a1be609da3c0bd930eb7378ec | mtourne/raspicam_ir_cut | /create_dataset.py | UTF-8 | 2,470 | 2.9375 | 3 | [] | no_license | import argparse
import tty, termios
import sys
import os
import time
from picamera import PiCamera
import ir_cut
def getch():
"""getch() -> key character
Read a single keypress from stdin and return the resulting character.
Nothing is echoed to the console. This call will block if a keypress
is not... | true |
9ee89eebd24ba86f08980a29d0ac0985cef458a0 | mertcerciler/Fall-Detection | /src/projectW13.py | UTF-8 | 7,370 | 3.375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat May 9 00:02:52 2020
@author: Mert
"""
import csv
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
# First of all, it is needed to load to data.
# Our dataset contains 308 columns including the index number, label and 306 features, with 566 rows... | true |
defd0e4fe924ef4ee0c312bf9ad6339c707c0dc4 | shin-kanouchi/NLP_Tutorial | /train/train04_test.py | UTF-8 | 2,567 | 2.578125 | 3 | [] | no_license | #!/usr/bin/python
#-*-coding:utf-8-*-
#2014/10/07 22:11:08 Shin Kanouchi
"""
shin:train kanouchishin$ ../script/gradews.pl ../data/wiki-ja-test.word train04.result
Sent Accuracy: 23.81% (20/84)
Word Prec: 71.88% (1943/2703)
Word Rec: 84.22% (1943/2307)
F-meas: 77.56%
Bound Accuracy: 86.30% (2784/3226)
"""
import argpar... | true |
68279ee129a0a321aee92d1387383e5f790abdaf | juzb/DeeProtein | /DeeProtein/helpers/dataset_gen.py | UTF-8 | 9,365 | 2.65625 | 3 | [
"MIT"
] | permissive | import tensorflow as tf
import logging
class Dataset_Gen:
"""Reads a csv containing name, sequence and GO-terms for one protein per line (from datatpreprocessing)
gives batches to model efficiently"""
def __init__(self, FLAGS, go_info, train=True, data='seq', mask_width=1, seq=None):
"""Sets att... | true |
4dedb88cb632f6b8c554b516a90f5970e96d6d00 | rysa03/part2_all_task | /part2_task3.py | UTF-8 | 96 | 3.8125 | 4 | [] | no_license | n=int(input('Input numbers: '))
print('Previous numbers is: ',n-1)
print('Next number is: ',n+1) | true |
347fcb8cfb78d0103049e12a9b7fe1e86a5eb9d3 | Aditya239233/Algorithms | /Binary Trees/branchSums.py | UTF-8 | 614 | 3.671875 | 4 | [] | no_license | '''
Given a Binary Tree, return the sum of all the branches in the Binary Tree.
'''
from .construction import BinaryTree
def branchSums(root: BinaryTree) -> list:
sums = []
calculateBranchSums(root, 0, sums)
return sums
def calculateBranchSums(node: BinaryTree, runningSum: int, sums: list):
if no... | true |
6ecb0cb4a6949ea0e963edc82c8e2e80f5240d7d | nhnam1105/SpotifyMusicAnalysis | /assignment.py | UTF-8 | 1,603 | 2.59375 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 27 21:44:38 2020
@author: namnguyen
"""
from data_handling import read_data
import setting as s
import pandas as pd
from sklearn.metrics import classification_report
import MLELinear as mlel
import plotting as p
import bootstrapping
import clusteri... | true |
fe69ac5d9e2a20c098ef2fc422e6415f9b941851 | Cbkhare/Challenges | /LC_Course_schedule.py | UTF-8 | 1,142 | 3 | 3 | [] | no_license | class Solution(object):
def createGrp(self, L):
g = {}
for pair in L:
if pair[0] not in g:
g[pair[0]] = set([pair[1]])
else:
g[pair[0]].update([pair[1]])
return g
def checkCycle(self, g, cn, visitd, recSt):
#print (visi... | true |
78303bdd5979990cc017047ea348e1f3e4b5004d | hireach/xxmonitor | /tests/api/lib/test_utils.py | UTF-8 | 1,190 | 2.96875 | 3 | [] | no_license | import unittest
from api.lib.utils import verification_string_is_json, object_to_json
from api.models import App
class TestStringMethods(unittest.TestCase):
def test_upper(self):
self.assertEqual('foo'.upper(), 'FOO')
def test_isupper(self):
self.assertTrue('FOO'.isupper())
self.asse... | true |
12138bb05044f2547bf724fda726e7538fb9a695 | JonathanKTH/Colorful-Colarization-Project | /convNet.py | UTF-8 | 4,308 | 2.671875 | 3 | [] | no_license | import numpy as np
import cv2
import tensorflow as tf
import skimage.color as color
import skimage.io as io
from skimage import img_as_ubyte
import os, sys
def create_weights(shape):
return tf.Variable(tf.truncated_normal(shape, stddev=0.1))
def create_bias(size):
return tf.Variable(tf.constant(0.1, shape = ... | true |
f559274ee18c1a3599efe16284964f74d2762d51 | mahatmaWM/leetcode | /leetcode/editor/cn/377.组合总和-ⅳ.py | UTF-8 | 1,278 | 3.5625 | 4 | [] | no_license | #
# @lc app=leetcode.cn id=377 lang=python3
#
# [377] 组合总和 Ⅳ
#
# https://leetcode-cn.com/problems/combination-sum-iv/description/
#
# algorithms
# Medium (42.21%)
# Likes: 153
# Dislikes: 0
# Total Accepted: 12.2K
# Total Submissions: 29K
# Testcase Example: '[1,2,3]\n4'
#
# 给定一个由正整数组成且不存在重复数字的数组，找出和为给定目标正整数的组合的... | true |
3eda34e391faa91b06b86a3f98cb8db8bca7301e | jrnijboer/AdventOfCode | /2020/python/day19.py | UTF-8 | 1,018 | 2.515625 | 3 | [] | no_license | import re
def solve(extendForB):
rules, input = [line.strip() for line in open("../input/day19.input").read().split("\n\n")]
rules = {k : v.split(" ") for k,v in [r.split(": ") for r in rules.split("\n")]}
if extendForB:
rules["8"] = ["42", "{1,}"]
rules["11"] = ["42", "{1}", "31", "{1}", "|", "42", "{2}... | true |
d3e267f190e670ae1d975eb4cd8773018c83326c | likunhong01/PythonDesignPatterns | /函数式编程3个高阶函数.py | UTF-8 | 566 | 3.390625 | 3 | [] | no_license | # coding=utf-8
# Version:python3.7.0
# Tools:Pycharm 2019
# Author:LIKUNHONG
__date__ = ''
__author__ = 'lkh'
# map用法
list(map(lambda x: x * 2, range(10)))
# 和列表生成式结果一样，还是推荐用列表生成式
[i * 2 for i in range(10)]
# reduce归约用法
from functools import reduce
reduce(lambda x, y: x + y, range(1, 6))
# 相当于从1开始，1，2作为xy，加起来，然后再把结果... | true |
b0d9339527d19067c46151b55e50276e00350458 | leovam/cnvkit | /cnvlib/segmentation/hmm.py | UTF-8 | 5,983 | 2.9375 | 3 | [
"Apache-2.0"
] | permissive | """Segmentation by Hidden Markov Model."""
import collections
import logging
import numpy as np
import pandas as pd
import scipy.special
import pomegranate as pom
from ..descriptives import biweight_midvariance
from ..segfilters import squash_by_groups
def segment_hmm(cnarr, method, window=None, processes=1):
"... | true |
2124cfb49d0a116469ddaa7c143fae668defcb8b | XQLong/DataEx | /cross_val_predict.py | UTF-8 | 781 | 3.375 | 3 | [] | no_license | from sklearn import linear_model, datasets
from sklearn.model_selection import cross_val_predict
import matplotlib.pyplot as plt
# 定义一个线性回归对象
lr = linear_model.LinearRegression()
# 加载数据
boston = datasets.load_boston()
# ‘target’, the regression targets
y = boston.target
# cross_val_predict returns an array of the sam... | true |
519397cc76c5a4700f8f64bbf02f5da21bbe8eb2 | kroneyen/works | /Stock/daily_divident_right.py | UTF-8 | 3,320 | 2.875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import pandas as pd
import datetime
import time
## 108年07月22日
def trans_date(sttr_list):
trans_date = ''
str_split_list = ''
for sttr in sttr_list:
row_str_split = sttr.split('年') ## 108 年07月22日
trans_date = str(int(row_str_split[0]) + 1911) + '/'
##str_sp... | true |
10d977d860bfa5c600a7d2cff99e4f83a837b0ff | oelbarmawi/Ehab | /Session3/FormattingString.py | UTF-8 | 203 | 3.859375 | 4 | [] | no_license | def greet(first_name, last_name):
greeting = "Hi my name is {} {}".format(first_name, last_name)
print(greeting)
greet("omar", "elbarmawi")
print()
age = 50
print("I am {} years old".format(age)) | true |
fe44d5ff64fea35d5c5e4f16b0cfe175fa4b63b1 | askap-vast/askap_surveys | /askap_surveys/__init__.py | UTF-8 | 939 | 2.609375 | 3 | [] | no_license | import importlib.resources
from pathlib import Path
from typing import Optional
moc_register = {}
def _register_moc(moc_path: Path, name: Optional[str] = None):
"""Add a MOC to the internal register to make them easily accessible.
Args:
moc_path: Path to the FITS MOC file.
name: Name of the... | true |
8c66d6d61ee81d16afff3ee3afab61c4f1bf7ba2 | clikonco/480Project2 | /euclidmodule.py | UTF-8 | 2,957 | 3.171875 | 3 | [] | no_license | import numpy as np
import math
#Second Method
def euclidmain():
NOT = [(2, 10),(2, 5),(8, 4),(5, 8),(7, 5),
(6, 4),
(1, 2),
(4, 9)]
p = [(1,1),(2,1),(4,3),(5,4)]
NOT=[(1,6.5),(1,7),(1,6),(2,5),(2,4.5),(2,4),(3,9),(3,8),(4,6.8),(4,7),(5,8)]
p2 = p
#choose n number of clusters(cen... | true |
fb2751bc4073fdf86a1271a576682d16ac90abec | buck54321/winatoms | /offline/create.py | UTF-8 | 2,005 | 2.8125 | 3 | [] | no_license | """
Copyright (c) 2020, The Decred developers
"""
import sys
from base58 import b58encode
from decred.util.encode import ByteArray
from decred.crypto import crypto, opcode
from decred.dcr import nets, txscript
from decred.dcr.addrlib import AddressScriptHash
from decred.crypto.secp256k1.curve import generateKey
from... | true |
3431072dee56e0a99505421f9fd96607c99375d2 | Sthaim/ExerciceAlgo_Python_GD1.2 | /main.py | UTF-8 | 5,108 | 2.859375 | 3 | [] | no_license | from os import system
import time
def isBissextile(ann):
test="false"
if ann%4==0 and ann%100>0:
test='true'
return test
def isValidCardNumber(number):
retur="false"
finale=[number//1000]
ver=0
number=number-(number//1000)*1000
finale.insert(0,number//100)
number=number-(nu... | true |
cc55db3e611c728e1feb2e276c2788d5b06bcaf6 | avastmick/cryptographon | /cipher-one/test_one.py | UTF-8 | 650 | 3.03125 | 3 | [] | no_license | """ importing the one.py code"""
import one
import pytest
def test_encode():
"""Tests the one.encode function"""
assert one.encode(
"Hello World") == "11481249678067805698 10695698668367809533"
def test_bad_encode():
"""Tests for bad input"""
with pytest.raises(one.EncodingException) as e_in... | true |
20bbdb8100e1b6d078e8894882690ae80a6703bb | FiodarM/Term4Lab6 | /pde.py | UTF-8 | 945 | 2.84375 | 3 | [] | no_license | __author__ = 'fiodar'
import numpy as np
def dirichlet_problem_2d(x_bounds, y_bounds, conditions_x, conditions_y, n_x=50, n_y=50, tol=0.01):
x = np.linspace(x_bounds[0], x_bounds[1], n_x)
y = np.linspace(y_bounds[0], y_bounds[1], n_y)
phi = conditions_x[0](x), conditions_x[1](x)
psi = conditions_y[0... | true |
9b91fcb32905b44605a9314209572a5f1c712dfd | lixumichael/Data-analysis-tutorial | /chapter3/code/TsExerciseOne.py | UTF-8 | 3,392 | 2.828125 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = "MambaHJ"
import os
import pandas as pd
def get_data(data_name=''):
current_path = os.getcwd()
parent_dir = os.path.dirname(current_path)
print(parent_dir)
for f in os.listdir(parent_dir):
print(f)
if f.endswith("data"):
data_path = os.path.join(pa... | true |
74923980d5c03dd470fd102db8ad8ef45a96d9c7 | WPI-AIM/NeedleTracker | /tracking.py | UTF-8 | 16,255 | 2.625 | 3 | [] | no_license | import cv2
import numpy as np
import itertools
from collections import deque
class TipTracker:
def __init__(self, params, image_width, image_height, heading_expected,
heading_range, threshold_mag_lower, threshold_mag_upper, roi_center_initial,
roi_size, kernel_size, name="camera",... | true |
e2308ac21eaf50fc0aac7844b4c0e77ad25f9fc5 | NicholasWM-zz/Cursos | /Python/AULAS/Coursera/Semana 05/maximo_3.py | UTF-8 | 201 | 3.375 | 3 | [] | no_license | def maximo(a,b,c):
if(a > b and a > c):
return(a)
elif (b > a and b > c):
return(b)
elif (c > a and c > b):
return(c)
else:
return a
print(maximo(7,7,7)) | true |
0bba169c71efe8e26f20ee9f29caf06ae2737566 | e-hall-hoffarth/honours_thesis | /scripts/name_scraper.py | UTF-8 | 1,317 | 2.703125 | 3 | [] | no_license | import requests
import csv
import json
import time
f = './Privacy_Rights_Clearinghouse-Data-Breaches-Export_2018.csv'
out = './data-breaches-with-tickers.csv'
with open(f, 'r') as infile, open(out, 'w+') as outfile:
data = csv.DictReader(infile)
headers = data.fieldnames
headers = headers + ['symbol', 'ma... | true |
7e76eb43f973de5f7c3d439930b832ded5f28bc5 | tquiroga/configui | /configui/utils/coherse_name.py | UTF-8 | 488 | 3.78125 | 4 | [] | no_license | import string
valid_characters = string.join([string.letters, string.digits, '_'], '')
def coherse_name(name):
'''
Formats a string to be a valid filename, striping out everything
except for letters, digits, and '_'
'''
cohersed_name = ''
space_replaced_name = name.replace(' ', '_')
for cha... | true |
2e05c7c3fb110f4fa26f056db4ebc1f08a0afcc8 | IstvanOri/adventofcode-2020 | /ac2020/days/Day2.py | UTF-8 | 4,077 | 3.96875 | 4 | [
"Apache-2.0"
] | permissive | from ac2020.days import AbstractDay
class Day2(AbstractDay.AbstractDay):
"""
Advent of Code 2020 - Day 2
===========================
Your flight departs in a few days from the coastal airport;
the easiest way down to the coast from here is via toboggan.
The shopkeeper at ... | true |
1d78c793efa02147cd01b62db70980b6eb772056 | teesamuel/Udacityproblemvsalgorithm | /problem_5.py | UTF-8 | 2,579 | 3.65625 | 4 | [] | no_license | class TrieNode():
def __init__(self,char=''):
self.character=char
self.children={}
self.is_last=False
def add(self, char):
if char not in self.children:
# self.children.append(char)
self.children[char]=''
self.character = char
else:
... | true |
4c6353d6a0020ed7bec3005e9c95d748cfe7b8e7 | txemac/events-api | /src/tests/integration/data/database/zone_test.py | UTF-8 | 2,550 | 2.65625 | 3 | [] | no_license | from data.database import Zone
from data.schemas import ZoneCreate
def test__create(session, data_zone):
count1 = session.query(Zone).count()
data = ZoneCreate(**data_zone)
zone = Zone._create(
db_session=session,
data=data,
)
count2 = session.query(Zone).count()
assert count1 ... | true |
41a19130d653930579415677e959c8d14a78ca29 | cash2one/xai | /xai/brain/wordbase/adjectives/_needy.py | UTF-8 | 446 | 2.578125 | 3 | [
"MIT"
] | permissive |
#calss header
class _NEEDY():
def __init__(self,):
self.name = "NEEDY"
self.definitions = [u'poor and not having enough food, clothes, etc.: ', u'wanting too much attention and love: ']
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.specie = 'adjectives'
def run... | true |
6fc0bb15fecee6b58687d6d870cc34c209357b73 | chonkerboi/popen-and-special-fd | /reader.py | UTF-8 | 256 | 2.96875 | 3 | [] | no_license | import os
import sys
fd = int(sys.argv[1])
total = 0
with os.fdopen(fd, 'rb') as fileobj:
while True:
data = fileobj.read(1024*1024)
if not data:
break
total += len(data)
print(total)
print('Reader done')
| true |
114dad1d1866007e4e3eed47483e68cd832fc0a5 | ZordoC/tag_handler- | /package/align_process.py | UTF-8 | 2,949 | 3.296875 | 3 | [] | no_license | import os
def convert_fast_align_process(path_source,path_target,path_output):
"""
Opens source and target files, and creates a new file with the following format:
Source sentence (1) ||| Target sentence (1)
Source sentence (2) ||| Target sentence (2)
.
... | true |
20abcf4b6fd59d1dda63c8349fe50227403693d5 | GaganDureja/Python_Learning | /python_mysql.py | UTF-8 | 2,891 | 3.171875 | 3 | [] | no_license | import mysql.connector
# Create connectionn to database
mydb = mysql.connector.connect(
host="localhost",
user="root",
password="Password@123",
database="students" #-- if no error means db exist
)
#create database
mycursor = mydb.cursor()
#mycur.execute("CREATE DATABASE students")
# list database
print("Lis... | true |
b3a786e0ed46f9f79dd00f9ccdd4b0ab56730560 | tiagocaruso/ciroai | /word-rnn-ltsm.py | UTF-8 | 2,809 | 2.953125 | 3 | [] | no_license | import re
import sys
import string
import numpy as np
from keras.utils import np_utils
from keras.models import Sequential
from keras.callbacks import ModelCheckpoint
from keras.layers import Dense, Dropout, LSTM
from keras.layers.embeddings import Embedding
from keras.models import model_from_yaml
# Importando o corp... | true |
aade24436bd31e561ea5e6e7cd06651fe1684e79 | stellaGK/stella | /scripts/upgrade_inputs.py | UTF-8 | 4,641 | 2.5625 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
import argparse
import dataclasses
import difflib
from typing import List, Optional
import re
import io
import f90nml
@dataclasses.dataclass(unsafe_hash=True)
class NamelistKey:
namelist: str
key: str
@dataclasses.dataclass(unsafe_hash=True)
class Replacement:
old: NamelistKey
... | true |
bd7a1e4798d8d882ebb6f398c75412a80fa6bd36 | thomastanck/Elemmaclassify | /utils.py | UTF-8 | 6,105 | 2.578125 | 3 | [] | no_license | import sys
import pickle
import functools
import itertools
import subprocess
import shelve
import numpy as np
def persist_to_shelf(filename):
def decorator(original_func):
shelf = shelve.open(filename)
@functools.wraps(original_func)
def new_func(*params):
key = str(params)
... | true |
6441080a589dfc29039acd1710814037eaf49d03 | Garywang0516/machine-learning | /line.py | UTF-8 | 969 | 3.5 | 4 | [] | no_license | import numpy as np
import sklearn.linear_model as lm
import sklearn.metrics as sm
import matplotlib.pyplot as mp
x,y = [],[]
with open('/home/ubuntu/桌面/machine learning/data/single.txt','r') as f:
for line in f.readlines():
data = [float(substr) for substr in line.split(',')]
x.append(data[:-1])
y.append(data... | true |
aeace8f578c2397757ca1f683deae5b0a2d4cc90 | SaharAltammemi/task-in-graph | /حلقات من الدوائر.py | UTF-8 | 746 | 3.609375 | 4 | [] | no_license | import turtle
myTurtle = turtle.Turtle(shape="turtle")
myTurtle.color('green')
myTurtle.pensize(10)
myTurtle.circle(50)
myTurtle.penup()
myTurtle.setposition(-120,0) # تبعد دائره عن الثانيه
myTurtle.pendown()
myTurtle.color('red')
myTurtle.pensize(10)
myTurtle.circle(50)
myTurtle.penup()
myTurtle.s... | true |
4d5e19a0b542a04cfd725705c82c6eb12ecf270a | DaHuO/Supergraph | /codes/BuildLinks1.10/test_input/CJ/16_1_1_DavidJHall_lastword.py | UTF-8 | 1,174 | 3 | 3 | [] | no_license | import time
infilename ='A-small-attempt0.in'
def flipbit(mybit):
if mybit:
mybit = False
else:
mybit = True
return mybit
def solve(word):
possibles = 2**(len(word)-1)
answers = word[0]
for i in range(1,len(word)):
# print word[i]
# print "... | true |
237a6fb9591da0ee5fbfc5c53e1c3762bbeea38e | enfageorge/getQuotes | /getQuotes.py | UTF-8 | 661 | 3.15625 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
tag=input("What topic would you like quotes in?")
pageno=1
link = "https://www.goodreads.com/quotes/tag/"+tag+"?page="+str(pageno)
result = requests.get(link)
#print result.text
soup = BeautifulSoup(result.text,'lxml')
#print soup.text
# kill all script and style elemen... | true |
81cef2fa9abdc3d817a866104a346c2651a1cad3 | RubenProject/NeuralNetworks2 | /T1/mnist_cnn.py | UTF-8 | 3,460 | 2.765625 | 3 | [] | no_license | '''Trains a simple convnet on the MNIST dataset.
Gets to 99.25% test accuracy after 12 epochs
(there is still a lot of margin for parameter tuning).
16 seconds per epoch on a GRID K520 GPU.
'''
from __future__ import print_function
import os
import keras
from keras.datasets import mnist
from keras.models import Seque... | true |
b5cac6d9a7c1f272ad2a7a29a08fbaafcbcaa5b0 | wutong0810/2017-10before | /2017-06/0624态势10min.py | UTF-8 | 7,259 | 2.609375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Jun 24 10:15:19 2017
@author: wutongshu
"""
def inOut(upInsec,downInsec,upDire1,upClane1,upDire2,upClane2,downDire,downClane1,downClane2):
upInsec.iloc[:,1]=pd.to_datetime(upInsec.iloc[:,1])
downInsec.iloc[:,1]=pd.to_datetime(downInsec.iloc[:,1])
upInsec['day']=u... | true |
057dfb8df4aa5107dfbdd7942e39355f5a8b14d6 | eleddy/zeo.memcache | /zeo/memcache/cache.py | UTF-8 | 8,267 | 2.640625 | 3 | [] | no_license | import xdrlib
import BTrees.LOBTree
import logging
import threading
from ZODB.utils import u64, z64
import memcache
logger = logging.getLogger("ZEO.memcache")
def bpack(saved_oid, tid, end_tid, data):
"""
Binary pack for a cache item
"""
p = xdrlib.Packer()
p.pack_list([saved_oid, tid, end_tid, ... | true |
5c4c2a3ea32f319ecfaf783968932e4be4c2888f | shmhlove/PythonStudy | /ncsoft.credu.com/Python_15_WebScraping_02.py | UTF-8 | 2,097 | 2.71875 | 3 | [] | no_license | #---------------------------------------------------
print('---------------------------------------------');
#---------------------------------------------------
import pyautomate
from pyautomate import web
def search_google(keyword):
url = "http://google.com/search?q={0}".format(keyword);
html = web.parse_ht... | true |
387095e33646898028068710235f6c101d006d95 | zhyErick/fengkuang_python | /04/4.3.assert_test.py | UTF-8 | 118 | 3.78125 | 4 | [] | no_license | s_age = input("输入您的年龄:")
age = int(s_age)
assert 20 < age < 80
print("您输入的年龄在20和80之间") | true |
e651208b01817ccaefafdfc471484ee1a822ce7b | johannasantos/python | /testsPython/tests.py | UTF-8 | 558 | 3.0625 | 3 | [] | no_license | import unittest
import carrito
class TestCarrito(unittest.TestCase):
def test_agregar_producto(self):
carrito.agregar_articulo("jabon", 10.78)
precio = carrito.carrito["jabon"]
self.assertTrue(precio == 10.78, "El precio no es correcto")
def test_eliminar_producto(self):
carr... | true |
610a6aa93366fa0074fbeeb94d4cf3e885cabbd5 | kushagra-18/Forged-Image-Detection | /scripts/download_images_from_csv.py | UTF-8 | 1,173 | 3.125 | 3 | [] | no_license | # python download_images_from_csv.py '../data/imgur.csv' '../data/fake'
import pandas as pd
import requests
import urllib
import os
import sys
from datetime import datetime
CSV_PATH = sys.argv[1] if len(sys.argv) > 1 else 'data/imgur.csv'
OUTPUT_PATH = sys.argv[2] if len(sys.argv) > 2 else 'data/fake'
def images_fro... | true |
53ccbf88d1b65717b8c436d2a10e3ebe6f3430a6 | lanchunyuan/Python | /PythonCrashCourse/chapter-8/8-3.py | UTF-8 | 160 | 3.5 | 4 | [] | no_license | def make_shirt(size,logo):
print("\nI'm going to make a " + size + " t-shirt.")
print('It will say, "' + logo + '"')
make_shirt('XL','I love Python!')
| true |
5f5092e435c598dba7b3c908830fc554d5d9547c | Anirudh4444/BOLO-STARK | /check.py | UTF-8 | 24 | 2.8125 | 3 | [] | no_license | a=20
b=10
c=b/a
print(c) | true |
a565427bac9a06b60dcc671f656baa2c014e5d99 | Tarun1001/codeforces | /.history/a_helpful_minds_20210606144101.py | UTF-8 | 36 | 2.515625 | 3 | [] | no_license | x= str(input().split("+"))
print(x)
| true |
6884a7438cfc5a917b7e6655b53e8042230c4c9b | BarYar/MonopolyGame | /Game/Player.py | UTF-8 | 2,856 | 3.75 | 4 | [] | no_license | from Game.Houses import Houses
from Game.Character import Character
"""Player class-
parameters:
1.name - The player name (string)
2.money - The player money (float) - can't be negative
3.The character of the player.
4.x (float) - default value=None... | true |