index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
1,800 | ea2183530667437e086bc89f137e464dec6f363a | from django.db import models
class Kit(models.Model):
name = models.CharField(max_length=100, null=True)
main_image_url = models.URLField(max_length=1000)
price = models.DecimalField(max_digits=10, decimal_places=2, default=0)
description = models.CharField(max_length=1000, null=T... |
1,801 | e4e2e8ca65d109805b267f148e8d255d81d4ee83 | from django.shortcuts import render, redirect
from django.contrib.auth import authenticate, logout, login
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.utils.decorators import method_decorator
from django.views import View
class login_view(View):
template... |
1,802 | 2ad326f739b42b9c7c252078b8c28e90da17b95d | import multiprocessing
name = "flask_gunicorn"
workers = multiprocessing.cpu_count() * 2 + 1
loglevel = "debug"
bind = f"0.0.0.0:18080"
|
1,803 | 01900c1d14a04ee43553c8602a07e0c6ecfabded | # -*- coding: utf-8 -*-
from django.shortcuts import get_object_or_404
from rest_framework import serializers
from tandlr.core.api.serializers import ModelSerializer
from tandlr.users.models import DeviceUser, User, UserSettings
from tandlr.utils.refresh_token import create_token
class LoginSerializer(serializers.S... |
1,804 | 3b381668dbb9b4e5a2e323dc4d6b5e3951736882 | from collections import namedtuple
import argparse
import pdb
import traceback
import sys
import os
from qca_hex_analyzer import WmiCtrlAnalyzer, HtcCtrlAnalyzer, HttAnalyzer, AllAnalyzer
import hexfilter
description = \
"Tool used to analyze hexdumps produced by a qca wireless kernel " \
"driver (such as ath... |
1,805 | bebe098c5abb579eb155a1dc325347d100ddfa8f | def coroutine(func):
def start_coroutine(*args, **kwargs):
cr = func(*args, **kwargs)
next(cr) #cr.send(None)
return cr
return start_coroutine
@coroutine
def grep(pattern):
print('start grep')
try:
while True:
line = yield
if pattern in line:
print(line)
except GeneratorExit:
print('stop grep'... |
1,806 | af903feda57e4ace0c7f909abbeb86bb9a7e4d8c | from data.dataframe_sequence_multi import DataFrameSequenceMulti
from metrics import Metrics
from models.models_ts_multi import lstm_model_multi
import threading
import sys
from keras import optimizers
from data.data_helper import plot_history
epochs = 100
start = 6
end = 18
res = []
sets = []
min_vals = []
min_loss ... |
1,807 | 43179b8b096836758271a791b4aacb7bbe398ea9 | import sys
from Decks.Virtual_World.vw_sets import *
from tools import *
hand_3playable_hts = ["Nibiru, the Primal Being", "Effect Veiler", "Fantastical Dragon Phantazmay", "Dragon Buster Destruction Sword", "Dragon Buster Destruction Sword"]
hand_2playable_hts = ["Nibiru, the Primal Being", "Nibiru, the Primal Being"... |
1,808 | c599a75788e3548c52ebb3b29e7a2398ff1b28a2 | from sklearn.metrics import roc_auc_score, matthews_corrcoef, f1_score, confusion_matrix
import numpy as np
from scipy.stats import rankdata
def iou_score(target, prediction):
intersection = np.logical_and(target, prediction)
union = np.logical_or(target, prediction)
iou_score = np.sum(intersection) / (np... |
1,809 | 1db16ae1fc6546575150187432265ac1cf834ec2 | import pandas as pd
import numpy as np
import datetime as dt
def sum_unique(x):
return np.unique(x).shape[0]
def analyze_count(data):
"""real time, vk, itemid, action"""
dsct_vk = pd.unique(data['vk'])
dsct_itemid = pd.unique(data['itemid'])
print 'number of user:', dsct_vk.shape
print ... |
1,810 | 5749f30d1a1efd5404654d755bca4515adcf4bca | import json
from django.db import models
from django.conf import settings
from django.core.serializers import serialize
# Create your models here.
def upload_updated_image(instance,filename):
return '/MyApi/{user}/{filename}'.format(user=instance.user,filename=filename)
class UpdateQueryset(models.QuerySet):
... |
1,811 | 3a09cbd71d23b1320af9b8ddcfc65b223e487b21 | import random
import csv
# 提取随机问，同类组成正例，异类组成负例，正:负=1:3
with open('final_regroup.csv', 'w', newline='') as train:
writer = csv.writer(train)
with open('final_syn_train.csv', 'r') as zhidao:
reader = csv.reader(zhidao)
cluster = []
cur = []
stand = ''
# 将同一标准问... |
1,812 | 707855a4e07b68d9ae97c2e1dc8bfd52f11c314c | import nltk
import spacy
import textacy
from keras.layers import Embedding, Bidirectional, Dense, Dropout, BatchNormalization
from keras_preprocessing.sequence import pad_sequences
from keras_preprocessing.text import Tokenizer
from nltk import word_tokenize, re
from rasa import model
import pandas as pd
from spacy imp... |
1,813 | ab5400f4b44a53cb5cc2f6394bcdb8f55fd218f0 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.Create... |
1,814 | 2872c86294037b4585158e7ff6db414ba7ab90cc | from django.db import models
# Create your models here.
class AlertMailModel(models.Model):
receipient_mail = models.EmailField()
host_mail = models.EmailField()
host_smtpaddress = models.CharField(max_length=25)
mail_host_password = models.CharField(max_length=200)
use_tls=models.BooleanField(defa... |
1,815 | 07ed8c12e8e5c568c897b6b632c48831267eba51 |
t_dim_2 = [[1, 2], [3, 4]]
def z(i, j, dim):
t = dim ** 2
if dim == 2:
return t_dim_2[i-1][j-1]
d = dim//2
if i <= d: # I or II
if j <= d:
return z(i, j, d) #I
else:
j -= d
return t//4 + z(i, j, d) # II
else: # III or IV
if j <=d... |
1,816 | d6cfea95c76021bdbfbb4471878c653564c9accd | import urllib.request
from bs4 import BeautifulSoup
def getTitlesFromAll(amount, rating='all'):
output = ''
for i in range(1, amount+1):
try:
if rating == 'all':
html = urllib.request.urlopen('https://habr.com/all/page'+ str(i) +'/').read()
else:
... |
1,817 | 5f13866bd5c6d20e8ddc112fb1d1335e3fd46c3e | import requests
import json
import base64
import re
def main(targetsrting):
email="" #email
key="" #key
#targetsrting='ip="202.107.117.5/24"' #搜索关键字
target=base64.b64encode(targetsrting.encode('utf-8')).decode("utf-8")
url="https://fofa.so/api/v1/search/all?email={}&key={}&qbase64={}&fields=hos... |
1,818 | c1bb2052b3f623c6787ba080dff2dc81f4d6f55e | import pandas as pd
import numpy as np
import json
from pprint import pprint
from shapely.geometry import shape, Point
from geopy.geocoders import Nominatim
from geopy.exc import GeocoderTimedOut
from geopy.exc import GeocoderServiceError
import collections
from matplotlib import pyplot as plt
import time
import csv
... |
1,819 | 1b4c86fe3aae25aeec6cd75fa8177983ce9d14a2 | #!/usr/bin/python2.7
import os, sys
COMPILER = "gcc"
SRC_DIR = "../src"
INCLUDE_DIR = "../src"
BIN_DIR = "../bin"
BIN_NAME = False
CFLAGS = ["-O3", "-Wall", "-Wextra", "--std=c89", "-pedantic"]
DLIBS = ["ws2_32"] if os.name == "nt" else []
DEFINES = []
def strformat(fmt, var):
for k in... |
1,820 | 1aed8e92a31ee42a3a609123af927f7074598ec1 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2017/7/14 下午6:06
# @Author : Huang HUi
# @Site :
# @File : Longest Common Prefix.py
# @Software: PyCharm
class Solution(object):
def longestCommonPrefix(self, strs):
"""
:type strs: List[str]
:rtype: str
"""
... |
1,821 | 63edbbbad9561ddae005d2b5e22a089819dc34c5 | import torch
import random
from itertools import product
from Struct import Action
class Agent(object):
"""the agent"""
def __init__(self, q, epsilon=0.8, discount=0.9, learningRate=0.5, traceDecay=0.3):
# action set
possibleChangesPerMagnet = (1e-2, 1e-3, 0, -1e-2, -1e-3)
# possible... |
1,822 | 41842e8b75860c65e87e9db1f7ae058957e37e45 | #Import Discord Package
import discord
from discord.ext import commands
import asyncio
import glob
from dotenv import load_dotenv
import os
load_dotenv() # Load your Discord Token
TOKEN = os.getenv("TOKEN")
bot = commands.Bot(command_prefix='.',case_insensitive=True)
print('Ready!')
@bot.command()
async def stop... |
1,823 | e3e6f1b6580a223558791cebfcb1a92d45553162 | def digital_sum(n):
if n < 10:
return n
return n % 10 + digital_sum(n // 10)
def digital_root(n):
if n < 10:
return n
return digital_root(digital_sum(n))
|
1,824 | c5ac37ce09f7cd76ccd9b93c64e602209a04c55c | import requests
from pyrogram import Client as Bot
from samantha.config import API_HASH, API_ID, BG_IMAGE, BOT_TOKEN
from samantha.services.callsmusic import run
response = requests.get(BG_IMAGE)
file = open("./etc/tg_vc_bot.jpg", "wb")
file.write(response.content)
file.close()
bot = Bot(
":memory:",
API_ID,... |
1,825 | f4c90a6d6afdcf78ec6742b1924a5c854a5a4ed6 | import os
def take_shot(filename):
os.system("screencapture "+filename+".png")
|
1,826 | 1e41cc5d2661f1fb4f3a356318fabcb2b742cbdf | from flask import Flask,Response,render_template,url_for,request,jsonify
from flask_bootstrap import Bootstrap
import pandas as pd
import gpt_2_simple as gpt2
import json
app = Flask(__name__)
Bootstrap(app)
#Main Page
@app.route('/')
def interactive_input():
return render_template('main.html')
#Creating the diff... |
1,827 | fab7ee8a7336ba2c044adce4cc8483af78b775ba | #!/usr/bin/env python
from distutils.core import setup
setup(
name='RBM',
version='0.0.1',
description='Restricted Boltzmann Machines',
long_description='README',
install_requires=['numpy','pandas'],
)
|
1,828 | 3329db63552592aabb751348efc5d983f2cc3f36 | # -*- coding: utf-8 -*-
"""
Created on Sat Mar 21 09:46:47 2020
@author: Carlos Jose Munoz
"""
# se importa el modelo y vista para que sesten comunicados por medio del controlador
from Modelo import ventanadentrada
from Vista import Ventanainicio,dosventana
import sys
from PyQt5.QtWidgets import QApplication
clas... |
1,829 | 05573b4ff68ca8638f8e13946b410df2a012840a | from datetime import timedelta, datetime
import glob
import json
import os
import re
import pickle
import os,time
import pandas as pd
import numpy as np
from collections import Counter
from sentencepiece import SentencePieceTrainer
from sentencepiece import SentencePieceProcessor
from sklearn.feature_extraction.text i... |
1,830 | b29f85ccf396640c2a63bf634b549a3eaa0dbb1b | #!/usr/bin/env python2
from Crypto.PublicKey import RSA
from Crypto.Util.number import *
from timeit import default_timer as timer
import os
import gmpy2
import itertools as it
def extract2(inp):
two = 0
while inp % 2 == 0:
inp //= 2
two += 1
return inp, two
def genkey():
while 1:
... |
1,831 | f1fbbbe4258d0fb0a43505f4718730934fd595ec | import socket
import threading
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
port = 12321
server.bind(('', port))
server.listen()
client_names = []
clients = []
def broadcast(message):
for client in clients:
client.send(message)
def handle(client):
while True:
try:
... |
1,832 | 018b9533074d2766dc5010ff9c5e70888d249b45 | a = range(10)
[x*x for x in a]
|
1,833 | 7f33effa86fc3a80fce0e5e1ecf97ab4ca80402d | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import json
import requests
BASE_URL = 'http://www.omdbapi.com/'
def rating_msg(rating):
if rating > 80:
return 'You should watch this movie right now!\n'
elif rating < 50:
return 'Avoid this movie at all cost!\n'
else:
re... |
1,834 | 23bcef07326db084d4e0e6337beb00faba329193 | // Time Complexity : O(n)
// Space Complexity : O(n)
// Did this code successfully run on Leetcode : Yes
// // Any problem you faced while coding this : No
// Your code here along with comments explaining your approach
class Solution:
def productExceptSelf(self, nums: List[int]) -> List[int]:
res=[]
... |
1,835 | 7d5f41cfa2d5423c6db2678f1eb8160638b50c02 | import re
class CoordinatesDataParser:
def __init__(self):
return
def get_coords(self, response):
html = response.xpath('.//body').extract_first()
longitude = re.search(r'-\d+\.\d{5,}', html)
longitude = longitude.group() if longitude else None
if longitude:
... |
1,836 | b720a52f1c2e6e6be7c0887cd94441d248382242 | from joecceasy import Easy
def main():
paths = ['..','.']
absOfEntries = [ i.abs for i in Easy.WalkAnIter(paths) ]
for i in absOfEntries:
print( i )
if __name__=='__main__':
main()
"""
def main(maxEntries = 99):
i = -1
print( "Walker test, Walking cu... |
1,837 | de884413dcbd0e89e8bfcf5657fe189156d9a661 | from setuptools import setup, find_packages
setup(name="sk_processor", packages=find_packages()) |
1,838 | b3bba1119bfaf0c1e684e8835259ec6fa8c42cf7 | from text_to_word_cloud import *
from collections import Counter
from preprocess import *
if __name__ == '__main__':
data = load_data('train.json')
words = text_to_words(get_all_text(data), as_set=False)
cnt = Counter(words)
save_il_to_word_cloud_file("cloudofw.txt",cnt,len(words),call_R=True... |
1,839 | c67cd3c16c15d6aab02a07736c83bbdd5bd98514 | # -*- coding: utf-8 -*-"
"""
getMetaStream action for graphingwiki
- alternative meta retrieval action that uses
abuse-sa query language for filtering metas
and returns Line Delimeted JSON or event-stream
@copyright: 2015 Lauri Pokka <larpo@codenomicon.com>
@license: MIT <http://www.openso... |
1,840 | 7f72f6a2ff0c7ceacb0f893d04c20402e850421a | ss=str(input())
print(len(ss)-ss.count(' '))
|
1,841 | 1972e3733918da654cd156a500432a35a239aed4 | tn=int(input())
for ti in range(tn):
#ans = work()
rn,cn = [int(x) for x in input().split()]
evenRow='-'.join(['+']*(cn+1))
oddRow='.'.join(['|']*(cn+1))
artrn = rn*2+1
print(f'Case #{ti+1}:')
for ri in range(artrn):
defaultRow = evenRow if ri%2==0 else oddRow
if ri//2==0:
... |
1,842 | 07a0ba3ded8a2d4a980cfb8e3dbd6fd491ea24b0 | import web
import datetime
# run with sudo to run on port 80 and use GPIO
urls = ('/', 'index', '/survey', 'survey')
render = web.template.render('templates/')
class survey:
def GET(self):
return render.survey()
class index:
def GET(self):
i = web.input(enter=None)
... |
1,843 | d07046e33bbfa404c354fef3e8990a3fa0203060 | #Task 4 - writing a code that prints all the commit message from repository
import requests
r = requests.get('https://api.github.com/repos/smeiklej/secu2002_2017/commits')
text = r.json()
#asking the code to print out the commit message for all rows in the text
for row in text:
print row['commit']['message']
|
1,844 | 72d41f939a586fbd8459927983d9d62a96b650e2 | from __future__ import division, print_function
import numpy as np
from copy import deepcopy
class IntegratedRegressor():
regs = []
def __init__(self, reg, predict_log=True):
self.reg = reg
self.predict_log = predict_log
def fit(self, X, y):
self.regs = []
for target in ... |
1,845 | 6946601050802aaaa559d25612d0d4f5116559eb | from django.shortcuts import render, redirect, get_object_or_404
from .models import Article, Comment
# from IPython import embed
# Create your views here.
def article_list(request):
articles = Article.objects.all()
return render(request, 'board/list.html', {
'articles': articles,
})
def articl... |
1,846 | 81da2aab9ca11e63dafdd4eefc340d37b326fc6f | # =======
# Imports
# =======
import os
import sympy
import numpy
from distutils.spawn import find_executable
import matplotlib
import matplotlib.pyplot as plt
from .Declarations import n,t
# =============
# Plot Settings
# =============
def PlotSettings():
"""
General settings for the plot.
"""
# C... |
1,847 | 3bfe4021d5cf9bd24c0fb778b252bc04c6ac47ed | import json
import requests
class Bitcoin:
coindesk = 'https://api.coindesk.com/v1/bpi/currentprice.json'
def __init__(self):
pass
def get_current_price(self, url=coindesk):
self.resp = requests.get(url)
if self.resp.status_code == 200:
return json.loads(self.resp.con... |
1,848 | 1dd62264aafe8ee745a3cfdfb994ac6a40c1af42 | import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
class LogisticRegression:
'''LogisticRegression for binary classification
max_iter: the maximum iteration times for training
learning_rate: learing rate for gradiend decsend training
Input's shape shoul... |
1,849 | aa817b86e26cf8cd9771aeb276914a1f5869c737 | #!/usr/bin/python
import csv
import sys
import os.path
#Versao 2 do gerador das RawZones
#global
DIR_PYGEN = "/bid/_temporario_/pythonGeneration/"
DIR_INTGR_PAR = "/bid/integration_layer/par/"
DIR_INTGR_JOB = "/bid/integration_layer/job/"
def Sqoop(filename,source_database,source_table, split_field, sourcesystem, ta... |
1,850 | 29298ee7ddb4e524a23000abf86854d72f49954c | from app import db
from datetime import datetime
from sqlalchemy.orm import validates
class Posts(db.Model):
id = db.Column(db.BigInteger, primary_key=True, autoincrement=True)
title = db.Column(db.String(200))
content = db.Column(db.Text)
category = db.Column(db.String(100))
created_date = db.Column(db.Date... |
1,851 | 20ac73789fa7297a9230a6a2b814349d2b7da5fb | import hashlib
a = hashlib.pbkdf2_hmac("sha256", b"hallo", b"salt", 1)
b = hashlib.pbkdf2_hmac("sha256", a, b"salt", 1)
c = hashlib.pbkdf2_hmac("sha256", b"hallo", b"salt", 2)
print(b)
print(c) |
1,852 | 7040db119f8fd6da78499fc732e291280228ca10 | # Generated by Django 3.2.3 on 2021-05-16 07:56
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('problem', '0002_problem_... |
1,853 | e267108177841110493061a4f84ae3d29850d028 | from django.urls import path
from . import views
urlpatterns = [
# @app.route("/")
path('', views.home),
path("teams", views.showTeams),
path("teams/new", views.new),
path("teams/<teamname>", views.showSpecificTeam),
# path("allfood", views.showAllFoodItems),
# path("team/<teamname>",... |
1,854 | 080110e404cf5edfe53622a5942b53f9188ddd76 | import pickle
if __name__ == '__main__':
with open('id_generator.bin', 'rb') as f:
print(pickle.load(f)) |
1,855 | e9a6baf10efc5b6bd07af1fe352b0b17ecc172bd | import numpy as np
import json
import random
from encapsulate_state import StateEncapsulator
from scalar_to_action import ActionMapper
import pickle
from basis_functions import identity_basis, interactive_basis, actions_only_basis, actions_cubic_basis, BASIS_MAP
import matplotlib.pyplot as plt
STATE_FILENAME = "stat... |
1,856 | 365e2059d5ed3d7f8d9dbb4e44f563b79d68b087 | from keras.preprocessing.text import text_to_word_sequence
import os
# keras NLP tools filter out certain tokens by default
# this function replaces the default with a smaller set of things to filter out
def filter_not_punctuation():
return '"#$%&()*+-/:;<=>@[\\]^_`{|}~\t\n'
def get_first_n_words(text, n):
... |
1,857 | d17f1176ac60a3f6836c706883ab1847b61f50bf | import ConfigParser
''' Merge as many as ConfigParser as you want'''
def Config_Append(SRC_Config ,DST_Config):
import tempfile
temp_src = tempfile.NamedTemporaryFile(delete=True)
temp_dst = tempfile.NamedTemporaryFile(delete=True)
with open(temp_src.name,'wb') as src, open(temp_dst.name,'wb') as dst:
... |
1,858 | afacc2c54584c070963c4cb3cabbae64bb0e3159 | # Generated by Django 2.2.16 on 2020-11-04 12:48
import ckeditor_uploader.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('course', '0002_auto_20201103_1648'),
]
operations = [
migrations.AddField(
model_name='course',... |
1,859 | 3135483c68880eeeaf7ebc085a6cd3c0c7f0550c | import pymysql
def main():
conn = pymysql.connect(host='127.0.0.1', port=3306,user='root',password='383240gyz',db='bycicle',charset='utf8')
print(conn)
try:
with conn.cursor() as cursor: # 上下文语法否则需要 # cursor.close()
cursor.execute('''drop table if exists pymysql''')
curs... |
1,860 | 9666c87b4d4dc721683ea33fdbbeadefc65a0cd1 | #!/usr/bin/env python
number=int(input("Enter an integer"))
if number<=100:
print("Your number is smaller than equal to 100")
else:
print("Your number is greater than 100")
|
1,861 | 6e5b8be6182f39f185f4547f0abd84a4e404bf34 | import numpy as np
mydict = {}
mylist0 = np.array([1, 2, 3, 4, 5])
mylist1 = np.array([2, 3, 4, 5, 6])
print(mydict)
print(mylist0)
print(mylist1)
for c in ('0', '1'):
if c in mydict:
mydict[c] += mylist0
else:
mydict[c] = mylist0
print(mydict)
for c in ('0', '1'):
... |
1,862 | 0527dc2b6fa0fe703b604c6e28fba44fe6def83b | def main():
# defaults to 0
print a
a = 7
a *= 6
print a
|
1,863 | 6424fccb7990b0a1722d5d787e7eb5acb4ff1a74 | import boto3
ec2 = boto3.resource('ec2')
response = client.allocate_address(
Domain='standard'
)
print(response)
|
1,864 | 2561db1264fe399db85460e9f32213b70ddf03ff | #!/usr/bin/env python
# encoding: utf-8
"""
@author: swensun
@github:https://github.com/yunshuipiao
@software: python
@file: encode_decode.py
@desc: 字符串编解码
@hint:
"""
def encode(strs):
"""Encodes a list of strings to a single string.
:type strs: List[str]
:rtype: str
"""
res = ''
... |
1,865 | fc5a4c27a21c2bd3900a6ad0bff68c249fe29d7a | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import requests
import time
driver = webdriver.Chrome(executable_path='/home/bc/桌面/chromedriver')
driver.get('https://www.zhaopin.com/')
time.sleep(5)
driver.find_element_by_id('KeyWord_kw2').send_keys('技术')
driver.find_element_by_class_na... |
1,866 | 03a024140d8d0136bf9838f8942539f6d19bb351 | from cmd import Cmd
class CMD(Cmd):
def __init__(self):
pass
def do_move(self, direction):
if direction == "up":
self.game.movePlayer(0, 1)
elif direction == "down":
self.game.movePlayer(0, -1)
elif direction == "left":
self.game.movePlayer(-... |
1,867 | 8fe71e87512dfd2ccfcd21c9c175cb50274d9661 | """
Tests based on: https://github.com/pydata/xarray/blob/071da2a900702d65c47d265192bc7e424bb57932/xarray/tests/test_backends_file_manager.py
"""
import concurrent.futures
import gc
import pickle
from unittest import mock
import pytest
from rioxarray._io import URIManager
def test_uri_manager_mock_write():
mock... |
1,868 | 9627e8a468d3a75787c5a9e01856913fc8beb3c4 | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 14 22:09:56 2014
@author: duhan
"""
#arrayMapPath = r'/usr/local/lib/python2.7/dist-packages/ticketpitcher/data/3'
arrayMapPath = r'C:\Python27\Lib\site-packages\ticketpitcher\data'
#tempPath = r'/tmp/'
tempPath = 'd:\\temp\\'
|
1,869 | 97857c1c5468a96187d44abc23ffaaf2a7ead1a6 | # data={
# "name":"Alby",
# "age":23
# }
# print (data['age'])
# def foo():
# print("Hellow world")
# return 1
# print (foo())
a="aa"
def add():
print(a)
add() |
1,870 | ed4c97913a9dba5cf6be56050a8d2ce24dbd6033 | '''
A prime number is a natural number greater than 1 that has no positive divisors other than 1 and itself. Given two integers A and B,
print the number of primes between them, inclusively.
'''
a = int(input())
b = int(input())
count = 0
for i in range(a, b+1):
true_prime = True
for num in range(2, i):
... |
1,871 | c435b0f162512bb2bc0c35e1817f64c5ef9ff7bc | # vim:fileencoding=utf-8:noet
from __future__ import absolute_import, unicode_literals, print_function
import os
BINDINGS_DIRECTORY = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'bindings')
TMUX_CONFIG_DIRECTORY = os.path.join(BINDINGS_DIRECTORY, 'tmux')
DEFAULT_SYSTEM_CONFIG_DIR = None
|
1,872 | cf5a9b8dad5a02610fa5ce2a849b6f9fc50a0aa8 | #2) write a program to make banking system develop business logic
#in one module and call functionality in another .py file
class Customer: #user defined class
def __init__(self,name,phoneno,address,pin,accno,balance) : #constructor with multiple arguments
self._name=name
self._pno=phoneno
... |
1,873 | 0f0b3eea9dc397d32e81749304041abaf6651e94 | from common.get_keyword import GetKeyword
from common.operation_Excel import OperationExcel
from common.op_database import OpDatabase
from interface.login import Login
from interface.address import Address
import unittest
import ddt
# 测试数据
op_excel = OperationExcel()
add_file = r'D:\pyCharm\Demo\pycode\Requests\201911... |
1,874 | f3bfa30f51c4a91844457c72fbf2b2b8368d8476 | import datetime
interval_length_minutes = 10 # 10 minutes per interval
tek_rolling_period = 144 # 24*60//10 - 24 hours per day, 60 minutes per hour, 10 minutes per interval
def get_timestamp_from_interval(interval_number):
return interval_number * interval_length_minutes * 60 # 60 seconds per minute
def get... |
1,875 | 6eecf0ff1ad762089db6e9498e906e68b507370c | import spacy
nlp = spacy.load("en_core_web_sm")
text = (
"Chick-fil-A is an American fast food restaurant chain headquartered in "
"the city of College Park, Georgia, specializing in chicken sandwiches."
)
# Disable the tagger and parser
with ____.____(____):
# Process the text
doc = ____
# Print ... |
1,876 | b3f62c331ff4ae9f909fc90cc7303997b32daceb | '''
O(n) time complexity
O(n) space complexity
'''
class Solution:
def twoSum(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[int]
"""
seenum = dict()
for idx, val in enumerate(nums):
if target - val in seenum:
... |
1,877 | 471cab65aac29f5b47de0ffef8f032dbbadf8dd0 | from flask import Flask, render_template, send_from_directory
from flask import request, send_file
from flask_cors import CORS
import os
import json
from crossdomain import crossdomain
import constants
import generation_tools
from music_theory import name_chords_in_tracks
import midi_tools
from client_logging import Cl... |
1,878 | da69fd937153fe2112b9f64411882527274247ef | from sys import exit
from os import stat
file = open("fiunamfs.img","r")
nombre = file.read(8)
file.seek(10)
version = file.read(3)
file.seek(20)
etiqueta = file.read(15)
file.seek(40)
cluster = file.read(5)
file.seek(47)
numero = file.read(2)
file.seek(52)
numeroCompleto = file.read(8)
file.close()
archivos = []
tam... |
1,879 | b28ae19f31ae746f901dea645dfeaa211a15cd31 | from mcpi.minecraft import Minecraft
from time import sleep
import random
mc = Minecraft.create()
myID=mc.getPlayerEntityId("Baymax1112")
mineral = [14,15,16,56,73,129,57]
while True:
sleep(0.5)
r=random.choice(mineral)
x,y,z = mc.entity.getTilePos(myID)
mc.setBlocks(x+1,y+3,z+1,x-1,y-3,z-1,r) |
1,880 | 5c0ee6e8a0d80dbb77a7a376c411b85bf1405272 | from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from math import sqrt
from sys import exit
from subprocess import Popen, DEVNULL
from resmon import LineSegment, reorder_step
def write_head(file):
with open("head.tex", "r") as head:
for line in head:
f.write(line)
def writ... |
1,881 | 016c004fd95d901a6d55b6f7460397223a6baa3b | # -*- coding: UTF-8 -*-
from flask import Blueprint, jsonify, request, abort, current_app
import json
from config import config_orm_initial
orm = config_orm_initial.initialize_orm()
session = orm['dict_session']
Article_list = orm['dict_Articlelist']
user = orm['dict_user']
app = Blueprint('api_get_comments', __name_... |
1,882 | 4e6401672d4762b444bb679e4cc39ada04193a26 |
import tkinter as tk
from tkinter import Tk, BOTH,RIGHT,LEFT,END
from tkinter.ttk import Frame, Label, Style,Entry
from tkinter.ttk import Frame, Button, Style
import random
import time
class StartPage(tk.Frame):
def __init__(self, master):
tk.Frame.__init__(self, master)
tk.Frame.configu... |
1,883 | a2e4e4a0c49c319df2adb073b11107d3f520aa6e | import itertools
def odds(upper_limit):
return [i for i in range(1,upper_limit,2)]
def evens(upper_limit):
return [i for i in range(0,upper_limit,2)]
nested = [i**j for i in range(1,10) for j in range(1,4)]
vowels = ['a', 'e', 'i', 'o', 'u']
consonants = [chr(i) for i in range(97,123) if chr(i) not in vowe... |
1,884 | 7611a57705939ce456e34d5ae379d6ca748b13c3 | #!/usr/bin/env python
# encoding: utf8
#from __future__ import unicode_literals
class RefObject(object):
def __init__(self,):
self.pose = []
self.name = []
self.time = None
self.id = None
def set_data(self,pose, name, time, Id):
self.pose = pose
self.... |
1,885 | 7bcdd6c5c6e41b076e476e1db35b663e34d74a67 | from urllib import request
from urllib import error
from urllib.request import urlretrieve
import os, re
from bs4 import BeautifulSoup
import configparser
from apng2gif import apng2gif
config = configparser.ConfigParser()
config.read('crawler.config')
# 下載儲存位置
directoryLocation = os.getcwd() + '\\img'
# 設置要爬的頁面
urlLis... |
1,886 | d423b0bc6cd9ea9795317750141ad5f5eab01636 | import sys
import os
sys.path.append("C:/Users/Laptop/Documents/Repos/udacity_stats_functions/descriptive")
import normal_distribution_06
#import sampling_distributions_07
def lower_upper_confidence_intervals(avg, SD):
#avg is x bar. The mean value at the "would be" point. ie Bieber Tweeter
#SD is standard err... |
1,887 | f69351474fb3eb48eeb65eaf1aa46d2f4a390471 | # -*- coding: utf-8 -*-
from nose.tools import * # noqa
import mock
import httpretty
from tests.base import OsfTestCase
from tests.factories import AuthUserFactory, ProjectFactory
import urlparse
from framework.auth import Auth
from website.addons.mendeley.tests.factories import (
MendeleyAccountFactory,
... |
1,888 | 08ccc58fe139db3f4712aa551b80f6ea57e0ad76 | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 23 10:16:40 2014
@author: Yusuke
"""
import math
result = []
for i in range(6 * 9**5):
sum_num = 0
for j_digit in str(i):
sum_num += int(j_digit) ** 5
if sum_num == i:
print i
result.append(i)
print math.fsum(result)
|
1,889 | 4989d01f31ca034aacdda28eff56adb2e0bb15da | """
Modulo collection - Counter
Collections -> High-performance Container Datatypes
Counter -> Recebe um interável como parametro e cria um objeto do tipo Collections Counter
que é parecido com um dicionario, contendo como chave o elemento da lista passada como
parametro e como valor a quantidade de ocorrencia... |
1,890 | 57d6b9e7f48d32e5d10bfd6a340ea56281f5d82d | # O(logn) T O(1) S
def binarySearch(array, target):
if len(array) == 0:
return -1
else:
return binarySearchR(array, target, 0, len(array) - 1)
def binarySearchR(array, target, leftPointer, rightPointer):
if leftPointer > rightPointer:
return -1
else:
midPointer = (leftP... |
1,891 | 9b7ffa2bb62a8decbec51c6bdea38b4338726816 | # -*- coding: utf-8 -*-
"""pytest People functions, fixtures and tests."""
import pytest
import ciscosparkapi
from tests.utils import create_string
# Helper Functions
# pytest Fixtures
@pytest.fixture(scope="session")
def me(api):
return api.people.me()
|
1,892 | d22ebe24605065452ae35c44367ee21a726ae7a1 | # Databricks notebook source
#import and create sparksession object
from pyspark.sql import SparkSession
spark=SparkSession.builder.appName('rc').getOrCreate()
# COMMAND ----------
#import the required functions and libraries
from pyspark.sql.functions import *
# COMMAND ----------
# Convert csv file to Spark Data... |
1,893 | d6cfe7132855d832d8fd1ea9ca9760bd22109a92 | # -*- utf-8 -*-
from django.db import models
class FieldsTest(models.Model):
pub_date = models.DateTimeField()
mod_date = models.DateTimeField()
class BigS(models.Model):
s = models.SlugField(max_length=255)
class Foo(models.Model):
a = models.CharField(max_length=10)
d = models.DecimalField(... |
1,894 | 3dcca85c8003b57ad37734bbbe171ab8cef0f56c | # This package includes different measures to evaluate topics
|
1,895 | b360ba7412bd10e2818511cee81302d407f88fd1 | # 3번 반복하고 싶은 경우
# 별 10개를 한줄로
for x in range(0, 10, 3): # 3번째 숫자는 증감할 양을 정해줌.
# print(x)
print("★", end=" ")
print()
print("------------------------")
#이중 for문
for y in range(0, 10):
for x in range(0, 10):
# print(x)
print("★", end=" ")
print() |
1,896 | a79c9799ed237a943ae3d249a4d66eb2f8693e83 | # Runtime: 44 ms, faster than 62.95% of Python3 online submissions for Rotate List.
# Memory Usage: 13.9 MB, less than 6.05% of Python3 online submissions for Rotate List.
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class... |
1,897 | 0f0ea6f07f9a082042ed9aff7a95d372c32b5a13 | from __future__ import absolute_import, division, print_function
import numbers
import torch
from torch.distributions import constraints
from pyro.distributions.distribution import Distribution
from pyro.distributions.score_parts import ScoreParts
from pyro.distributions.util import broadcast_shape, sum_rightmost
... |
1,898 | 9bc955def6250908050a1f3046dd78480f25e0a1 | from pyplasm import *
doorY = [.2,.18,.08,.18,.08,.18,.4,.18,.08,.18,.08,.18,.2]
doorX = [.2,.5,.2,1.8,.08,.18,.08,.18,.2]
doorOccurrency = [[True]*13,
[True, False, True, False, True, False, True, False, True, False, True, False, True],
[True]*13,
[True, False, True, False, True, False, True, False, T... |
1,899 | 8126af930ec75e2818455d959f00285bdc08c044 | import unittest
from LempelZivWelchDecoder import LempelZivWelchDecoder
class TestLempelZivWelchDecoder(unittest.TestCase):
def test_decode(self):
test_value = ['t', 256, 257, 'e', 's', 260, 't', '1']
run_length_decoder = LempelZivWelchDecoder()
self.assertRaises(ValueError,
... |
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