index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
999,500 | 09af77947ee6be307b6e10f5dbda5af82f9d3f2e | """
Module with logging utilities
"""
import vlogging
import net.utilities
import net.data
def log_model_analysis(
logger, image, segmentation_image, model, indices_to_colors_map, void_color, colors_to_ignore):
"""
Log analysis of model's prediction on a single image.
Logs input image, ground tr... |
999,501 | 771e8d156f9a2861a36605a4a8cf32c94e8f0f3a | import settings
import os
import requests
def splitlist(list_, number):
lists = []
last_number = 0.
while last_number < len(list_):
new_list = list_[int(last_number):int(last_number + \
(len(list_)/float(number)))]
lists.append(new_list)
... |
999,502 | def410421f34e6d085b2e230df2cd34b9aaf138e | from collections import defaultdict
for _ in range(int(input())):
num_customers, num_compartments = map(int, input().split())
customer_list = []
for i in range(num_customers):
customer_list.append(list(map(int, input().split())))
customer_list.sort(key=lambda x: x[1])
allowed_count = 0
c... |
999,503 | 8fc7cea0bac46ba4e5a4c163ca3959a678e512d0 | from sharpie_set import Sharpie_set
from sharpie import Sharpie
green = Sharpie("green", 0.1)
red = Sharpie("red", 0.2)
orange = Sharpie("orange", 0.3)
new_set = Sharpie_set()
green.use()
new_set.add(green)
new_set.add(red)
new_set.add(orange)
print(new_set.count_usable())
|
999,504 | 50ed0f61e909b1db87d45355b8de3a4446c853a5 | import requests
from bs4 import BeautifulSoup
res = requests.get('https://movie.douban.com/top250?start=0&filter=')
soup = BeautifulSoup(res.text,'html.parser')
tag = soup.find('div',class_='article')
li_all = tag.find_all('li')
list_all = []
for key in li_all:
tag_url = key.find('a')['href']
tag_order = key.... |
999,505 | 294d7e8556e23da77462fece2b0f51c75b5c070d | from django.shortcuts import render, render_to_response, get_object_or_404
from principal.models import Jugador, Pareja, Partido, Pista, Arbitro
from django.contrib.auth.models import User
from django.http import HttpResponse, HttpResponseRedirect
from django.template import RequestContext
def inicio(request):
return... |
999,506 | 1eebd2e07bb61ecfc3b26b75682f2543288ee5b8 | 1:
1.1:
False
1.2:
True
1.3:
False
1.4:
True
1.5:
True
'9/15'
2:
len(s)*2-len(s)**2
'10/10'
3:
3.1:
b
3.2:
a
3.3:
b
'10/15'
4:
1:
g
2:
h
3:
f
4:
i
5:
c
6:
... |
999,507 | 8eca16b83eddf6d994537c4fb81ef70d263571ae | import json
from difflib import get_close_matches
# imported data
data = json.load(open("data.json"))
# translate is not a good function name
def translate (w):
# functions convert to a lower string always
w=w.lower()
# conditionals
if w in data:
return data[w]
#condition for input data with ti... |
999,508 | bcc60d540edd22d75c2189b0b988d276f4984971 | #!/usr/bin/env python3
import ast
import base64
import argparse
from datetime import timedelta
import boto3
from psycopg2 import sql
from botocore.exceptions import ClientError
from use_postgres import UseDatabase
def main():
"""Connects to Aurora Database, calculates the delta between
most recent GROW anom... |
999,509 | 1970cf29aa92b1264925eecefa7c3dd88a4a0d4b | '''
Created on 18.06.2009
@author: Lars Vogel
'''
def add(a,b):
return a+b
def addFixedValue(a):
y=5
return y+a
print( add(1, 2))
print( addFixedValue(3)) |
999,510 | 66e0dd72c4ce890095fef48e4b7d421a3585f516 | import numpy as np
import scipy.ndimage as ndimage
import matplotlib.pyplot as plt
import cv2
import math
from scipy import misc
print(int(10.62545))
|
999,511 | ba9fff76e1081767a0c5e22e5ce13dee5c7f5a4b | #!/usr/bin/env python
# Mikhail (myke) Kolodin, 2022
# 2022-12-14 2022-12-14 1.0
# prod3max.py
# даны случайные числа [-100 .. 100],
# найти произведение 3 макс различных чисел
from random import randint
from math import prod
MINVAL = -100 # мин. число
MAXVAL = 100 # макс. число
LEN = 10 # длина массива... |
999,512 | e1a5e719133c7e1ffe59008df09f66c1512d92a7 | import os
import time
from pprint import pprint
# releaseTime = template_releaseTimeStamp; // template_releaseTime_human
# beneficiary = address('template_beneficiarr_address');
# string constant public name = "template_constract_name";
options = [
{ "address": "0x18089Cb45906F19889c44c23A86b96062C245... |
999,513 | 704bc480cd14ea62c15d773b862b0a748abb2ad6 | from django.shortcuts import render, redirect, get_object_or_404
from django.views.decorators.http import require_POST
from django.utils.translation import ugettext_lazy as _, ungettext
from django.contrib import messages
from django.conf import settings
from django.contrib.sitemaps import Sitemap
from django.template ... |
999,514 | d5c73ddae8719281cd49393e7a061a7a9ff7140d | import hampath
import sattv
"""
BioComp.changeMer(30)
BioComp.createNodes(7)
BioComp.connectNodes(["0->1,3,6", "1->2,3", "2->1,3", "3->2,4,", "4->1,5", "5->2,6"]) # from research paper
BioComp.report()
"""
"""
SATTruthValue.changeMer(30)
"""
# SATTruthValue.createNodes(["`x1,x2,`x3", "x1,x2,~x3", "`x1,x2,x3"])
# SATT... |
999,515 | 40ba05a61f1d93e2d2d45072bea8c5adbf5dd537 | from app import create_app
import os
import sys
sys.path.append(os.getcwd())
config_name ='development'
app = create_app(config_name)
if __name__ == "__main__":
app.run()
|
999,516 | a9341c04f99a950153f86b4cbb9517e03929e5b5 | import datetime
import random
from django.contrib import messages
from django.shortcuts import render, redirect
def index(request):
try:
request.session['ninja_gold']
except KeyError:
request.session['ninja_gold'] = 0
try:
request.session['activities']
except KeyError:
... |
999,517 | 2f8f2290d65c97d09aaf7053459dd74e6a7aaa51 | # Generated by Django 3.1.13 on 2021-09-13 11:02
import api_img.models
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Images',
... |
999,518 | 17fa58f664ed99daec39fbe5695765007e0c72da | import os.path
import math
import numpy as np
import conversions as convs
def calcs_all(name, lattice, gbdata, pa_parent, dim, proc, k):
print('Calculating energy values')
path = pa_parent+'/wield/bin'
os.chdir(path)
os.system('mkdir '+name)
Eul1 = gbdata[:,(0,1,2)]
Eul2 = gbdata[:,(3,4,5)]
xe1 = gbdat... |
999,519 | 4e5f83c98aeebe4171013058c8474cb6152a5407 | #!/usr/bin/env python
from __future__ import print_function
'''Script that checks for differences at a given run number (or at the last IOV) between two Global Tags
'''
__author__ = 'Marco Musich'
__copyright__ = 'Copyright 2016, CERN CMS'
__credits__ = ['Giacomo Govi', 'Salvatore Di Guida']
__license__ = 'Unknown'
__... |
999,520 | 130101b3e72a1660df9174487c3d11bbc1d9f33a | """
General Programming Solutions.
This module contains answers to the quesions in the General Programming section
of the 100 Data Science questions set.
"""
from collections import defaultdict
from itertools import repeat
import numpy as np
"""
1. Write a function that converts a dictionary of equal length lists ... |
999,521 | f8940e4926bd2ac6ba29c70bcf349550a86e664d | ######################################VPC Details#############################################################
import boto3
from prettytable import PrettyTable
table = PrettyTable(['Region','VPC Id','VPC Name','VPC CIDR'])
REGIONS = [
'us-east-1',
'eu-west-1',
'ap-northeast-1'
]
for region in REGIONS:
... |
999,522 | 81b3e914ce3d692097f1a260c344c0c2fa39994b | """
X is a good number if after rotating each digit individually by 180 degrees, we get a valid number
that is different from X. Each digit must be rotated - we cannot choose to leave it alone.
A number is valid if each digit remains a digit after rotation. 0, 1, and 8 rotate to themselves;
2 and 5 rotate to each oth... |
999,523 | e7e99aeabb70d34254a671b9bcda392b9c83ed42 | import preprocessing
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import csv
import pickle
from sklearn import svm
from collections import Counter
from sklearn.metrics import accuracy_score
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_extraction.text impo... |
999,524 | dcc52ce7c0ba1a5e68eaa70ba7ad0d5a46f71de9 | from flask import Flask
from apis import api_route, TwitApi, UsersApi, UsersTwitsApi
from variables import app_secret_key
from flask_restful import Api
from models import db, Users
from passwordhelper import PasswordHelper
from twits_blueprint import twits_blueprint
from login_blueprint import login_blueprint
app = Fl... |
999,525 | 042715071788887b327b75904b9a490130f5c89a | import statistics
N = int(input())
AB = [map(int, input().split()) for _ in range(N)]
A,B = [list(i) for i in zip(*AB)]
if N%2 == 1:
low_med = statistics.median(A)
high_med = statistics.median(B)
print(high_med - low_med +1)
else:
low_med = statistics.median(A)
high_med = statistics.median(B)
pr... |
999,526 | 3ba19e2c8ad777e1b79e6b2bced1f6339a5fdd15 | print("What is your name?")
n = input()
print(f"hello, {n}")
|
999,527 | 60f84dc802e6e8ec2946ec6a433fbb34955202f6 | from django.db import models
from django.contrib.auth import get_user_model
from .restaurant import Restaurant
#from django.db.models.signals import post_save
#from django.dispatch import receiver
User = get_user_model()
class Review(models.Model):
class Meta:
constraints = [
models.UniqueCo... |
999,528 | 4e95d2b524e842348391cd905a2d7c91fc1cf328 | #!/usr/bin/env python
#---------------
#RMS 2016
#---------------
#Program to quickly view and filter seismograms, found in the directory structure provided by obspyDMT
#User loop of the Seismoviewer program
import os
import sys
import glob
import argparse
from SeismoViewer import SeismoView
import time
parse... |
999,529 | 58d3efb0bcc689aaa05211514a980ba2bf3cf990 | class AddDigits(object):
def addDigits(self, num):
"""
Problem stste : Given a non-negative integer num, repeatedly add all its digits until the result has only one digit.
( For example:Given num = 38, the process is like: 3 + 8 = 11, 1 + 1 = 2. Since 2 has only one digit, return it. )
... |
999,530 | d5e91acea1314e4a34bacc762e78ca527b7e408d | # coding: utf-8
import os.path, sys
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), os.pardir))
from database import Database
from article import Article
from helper import Helper
import csv
import pymongo
from pymongo import MongoClient
import math
import threading
from probabilistic_model im... |
999,531 | ab77e28339b1311c05de1242767cff1b326ff7d5 | import unittest
from tensor import Tensor
class TestTensorMethods(unittest.TestCase):
def test_Tensor_creation(self):
root = Tensor([1], [1])
self.assertIsNone(root.children)
self.assertListEqual([1], root.lst)
def test_children_Tensor(self):
root = Tensor([ 1, 2, 3, 4, ... |
999,532 | e72172e392eed6b1d981ff095068870c87b3b78c | # Copyright (c) 2014 Universidade Federal Fluminense (UFF)
# Copyright (c) 2014 Polytechnic Institute of New York University.
# This file is part of noWorkflow.
# Please, consult the license terms in the LICENSE file.
from __future__ import (absolute_import, print_function,
division, unicode_li... |
999,533 | 60efda5e0be9fd8f75e73a275b29003920b59fdb | species(
label = 'S(227)(226)',
structure = SMILES('C=CC=CC(O)O[O]'),
E0 = (-78.6532,'kJ/mol'),
modes = [
HarmonicOscillator(frequencies=([492.5,1135,1000,2950,3100,1380,975,1025,1650,1380,1390,370,380,2900,435,2995,3010,3025,975,987.5,1000,1300,1337.5,1375,400,450,500,1630,1655,1680,3615,1277.5... |
999,534 | 7ca2d983cec914d3945f3098f33038474efb211b | import dataclasses
import datetime
import hashlib
import io
import json
import logging
import lzma
import os
import random
import tarfile
import tempfile
import typing
import glci.model
logger = logging.getLogger(__name__)
dc = dataclasses.dataclass
@dc
class OCIConfig:
pass
@dc
class OCIContainerCfg:
Host... |
999,535 | 458a8a17b6f812d2ab8f93d7d485baaaa8fffaad | # The authentication credentials for using twilio
# Dont bothering copying this, its a trial account : )
account_sid = "AC72bf334a5108bf91e562ca51d8154e95" # Change with your twilio account id
auth_token = "891df13e81ca64091805aab9b0f86ecf" # Change with your twilio auth token
twilio_number = "+12058756630" # Chang... |
999,536 | 73ebe42e10ccef331e9efb9e89306fa0adbdad1b | import dash_html_components as html
from utils import Header, make_dash_table, plotgraph1, plotgraph2
import pandas as pd
import pathlib
def create_layout(app, report_list):
rows = []
for ii in range(len(report_list)): # numero de filas
elems = []
for jj in range(len(report_list[ii])):
... |
999,537 | 107386fec296434d7329b20e5131890cc210b9c6 | import cv2
import time
import numpy as np
# To save the output in a video form (in format of output.avi)
fourcc=cv2.VideoWriter_fourcc(*'XVID')
outputFile=cv2.VideoWriter("output.avi",fourcc,20.0,(640,480))
#to start the webcam
capture=cv2.VideoCapture(0)
# making the cam sleep for 2 secs
time.sleep(2)
... |
999,538 | 31560b8de6af6beebb6efe89f31625e90ef6e125 | """Support for the Foursquare (Swarm) API."""
from http import HTTPStatus
import logging
import requests
import voluptuous as vol
from homeassistant.components.http import HomeAssistantView
from homeassistant.const import CONF_ACCESS_TOKEN
from homeassistant.core import HomeAssistant, ServiceCall
import homeassistant... |
999,539 | 8ab820e224020b2aa715cec7fc76333a3ab0a9f7 | import numpy as np
from matplotlib import pyplot as plt
import time
import cv2
import os
from Video_Tools import load_video
from Video_Tools import split_vid_into_rgb_channels
from Video_Tools import get_video_dimensions
from Video_Tools import devide_frame_into_roi_means
def normalization(colour_channel_values):
... |
999,540 | 280d453e48661fcfa99846a682dbaa2838037900 | import os
from PIL import Image
import numpy as np
from torch.utils.data import Dataset
class CustomDataset(Dataset):
def __init__(self, X, y, transform=None):
random_shuffle = np.random.choice(len(X), len(X), replace=False)
self.samples = np.array(X.copy(), dtype='object')[random_shuffle]
... |
999,541 | effe3755f8696f71055f79ae95136c6063b2506f | API_SERVER = 'localhost' |
999,542 | 57c1a50ba10d933d849f9af214e9d740cdbda406 | import math
from tools.ConfigFactory import ConfigObject
from tools.Exceptions import ParseException
def autoconvDecorator(f):
def newFunction(self, other):
if not isinstance(other, LogNum):
other = self.factory(other)
return f(self, other)
return newFunction
NegativeI... |
999,543 | 1d513ded4c4402573070111f95061f0367c693be | vars = {
'chromium_git': 'https://chromium.googlesource.com'
}
deps = {
'src/buildtools':
(Var("chromium_git")) + '/chromium/buildtools.git@0f8e6e4b126ee88137930a0ae4776c4741808740',
'src/tools/gyp':
(Var("chromium_git")) + '/external/gyp.git@54b7dfc03f746b6a539ac38f2fb0815d10b54734',
'src/testing/gmo... |
999,544 | eb1ab740f6c520317a1c097e49f499b09cf18da6 | import math
import numpy as np
fout = open('C:\\Users\\Soheil\\Documents\\Visual Studio 2017\\Projects\\B\\B\\Boutput-small.out', 'w')
#fout = open('C:\\Users\\Soheil\\Documents\\Visual Studio 2017\\Projects\\B\\B\\Boutput-large.out', 'w')
T=int(input())
for t in range(1,T+1):
print(t)
N, R, O, Y, ... |
999,545 | ee860798758ddec08ce4776763af6edc2b9c0bbf | #!/usr/bin/env python
#
# -----------------------------------------------------------------------------
# Copyright (c) 2016 Indiana University
# Copyright (c) 2016 The Regents of the University of California
#
# This file is part of AEGeAn (http://github.com/BrendelGroup/AEGeAn) and is
# licensed under the ISC lic... |
999,546 | 3c22e16f3419c422323f3582399b22baef2bfc40 | # Lesson: Python basics
# Write some basic Python
# a.
number = 6
result = 0
result = (number * 2 + 10) / 2
int_result = int(result)
print (int_result)
print("Du hast " + str(number) + " ausgewählt, das magische Ergebnis ist " + str(int_result) + "!")
# b.
mail = "willy.wizard@zauberschule.de"
name = mail.split("... |
999,547 | d84fded186ec782e464a46af5cf2ffb9d2a62e4e | import string
def is_pangram(s):
for letter in string.ascii_lowercase:
if letter not in s.lower():
return False
return True |
999,548 | a629765e560135fc903dd521d059d90a131db1e2 | # coding=utf-8
from OTLMOW.OTLModel.BaseClasses.AttributeInfo import AttributeInfo
from OTLMOW.OTLModel.BaseClasses.OTLAttribuut import OTLAttribuut
from OTLMOW.OTLModel.Datatypes.ComplexField import ComplexField
from OTLMOW.OTLModel.Datatypes.StringField import StringField
# Generated with OTLComplexDatatypeCreator.... |
999,549 | a069a867778063e43ac4f744631967d38a96f9e2 | input = """Tile 2141:
#.#...#...
###..#...#
.....##...
..#.##..#.
.#....#..#
...#######
.....#...#
#.#......#
##........
########.#
Tile 3467:
..#.#....#
#.....#..#
....#....#
...#......
#.#....###
.#....#..#
#.........
.....#...#
.##...#...
##.#..#.#.
Tile 3389:
......##..
.##...#...
.#..###...
....##.#..
#..#.#....... |
999,550 | 0cf284f800ad97fd77f9f1746f963315f59f6872 | from question9 import Computer, TerminateSequence
import copy
class Scaffolding():
def __init__(self, input_list):
self.path = []
self.spaces_touched = set()
self.prev_direction = ""
self.input_map = input_list
self.ymax = len(self.input_map)
self.xmax = len(self.in... |
999,551 | 68c728c251618beccb23436f02968ef6427027ed | from __future__ import unicode_literals
from django.apps import AppConfig
class CrispyFormsAppConfig(AppConfig):
name = 'crispy_forms_app'
|
999,552 | 38d94933f21cb0ef28724a1f54b422b07b1b57f6 | #!/usr/bin/python
from Project.logit import print_to_log # local file
from os import system, path # import two functions
from platform import system as platform # import platform system as platform
from subprocess import Popen, PIPE # needed for built-in terminal
from Tkinter import * # need this too
class Mai... |
999,553 | b2139ecb48a81bd8cfa4cfb7ca94e2243c6b386d | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Oct 12 15:54:04 2020
@author: descentis
"""
import numpy as np
import matplotlib.pyplot as plt
# Make a fake dataset
height = [46, 93.25, 93.60, 95.02, 95.38]
bars = (r'$k = 2$', r'$k = \sqrt{n\left(\dfrac{m-d}{m+d}\right)}$', r'$C = n^2$', r'$k = 10... |
999,554 | 33caaf13069e63a36e76264357d916dec6c06b54 | a=eval(input("enter the number"))
rev=0
while(a>0):
d=a%10
rev=rev*10+d
a=a//10
print(rev)
|
999,555 | 279c777c96e4e2bab82c523f714fd8e0aefd4484 | from django.contrib import admin
from guardian.admin import GuardedModelAdmin
from wtb.models import WtbBrand, WtbEntity, WtbBrandUpdateLog
@admin.register(WtbBrand)
class WtbBrandModelAdmin(GuardedModelAdmin):
list_display = ('__str__', 'storescraper_class')
@admin.register(WtbEntity)
class WtbEntityModelAdmi... |
999,556 | 120bc28e4a22000cde0a8a0d23707208ee5809e6 | import socket
import re
# initialize the game board
def init_game(csocket):
board = [' ' for x in range(10)] #list to contain player's moves
print("I will start the game")
print_board(board) # to print the intialized board
print("Type q when you want to quit")
start_game(csocket, board) #start the game... |
999,557 | 1ae1b887c413bab285b1d861d024be4efc10aa7e | import json
import urllib2
from bs4 import BeautifulSoup
from pyalexaskill.AlexaBaseHandler import AlexaBaseHandler
from utilities.utils import IntentHandler
class AlexaTivixHandler(AlexaBaseHandler):
# Sample concrete implementation of the AlexaBaseHandler to test the
# deployment scripts and process.
... |
999,558 | 6c27983036172d018f07c059c8c56e67a983d6a0 | # write a program that calculates the average student height from a List of heights.
student_heights = input("Input a list of student heights ").split()
for n in range(0, len(student_heights)):
student_heights[n] = int(student_heights[n])
av_height=0
sum_height=0
i=0
for h in student_heights:
sum_height=sum_heigh... |
999,559 | c2536a6110414ee2c004c0e57a39ff5e0e32e55c | def is_pyramid(n):
if n == 0:
return 0, False
is_pyr = 1
sum = 0
k = 0
while n != sum:
if sum > n:
is_pyr = 0
break
k += 1
sum += k ** 2
if is_pyr == 1:
return k, True
else:
return k, False
n = input()
if n.isdigit():
... |
999,560 | e8585df1d1f93c1d6eb905bcce12efff566a31e2 | from django.conf import settings
from django.contrib.auth.forms import AuthenticationForm
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.core.urlresolvers import reverse
from django.http import HttpResponse
from django.shortcuts import render_to_response, get_object_or_404
from dja... |
999,561 | 7829e7133c1f5213e59720d791d3d70e7a17cf97 | # -*- coding: utf-8 -*-
"""
Created on Sun May 31 14:19:13 2020
@author: renluqin
"""
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
import prince
"""load documents"""
combats = pd.read_csv("pokemon-challenge/combats.csv")
pokemon = pd.read_csv("pokemon-challenge/pokemon.csv"... |
999,562 | b55047dc7da79e4ae8576548ce0645054e150507 |
"""
PROJECT EULER - PROBLEM 1
If we list all the natural numbers below 10 that are multiples of 3 or 5, we get 3, 5, 6 and 9.
The sum of these multiples is 23.
Find the sum of all the multiples of 3 or 5 below 1000.
"""
# Version 1
result = 0 # Add numbers that meet the condition
for num in range(1,1000): # Condi... |
999,563 | ef5c41c5284546b850efb3c492114aab172b7f26 | #!/bin/env python3
# -*- coding: utf-8 -*-
# import libraries
from bs4 import BeautifulSoup
import urllib
#from urllib.parse import urlparse
#from urllib.request import urlopen
from urllib.request import urlretrieve
import glob
from PIL import Image
import os
import json
import threading
from threading import Thread
... |
999,564 | f0c1f5aaba5a6ba5fe4f5927edcbdb7b5b36980d | from quark_runtime import *
import quark.reflect
import use_class_before_def_md
class Bar(object):
def _init(self):
pass
def __init__(self): self._init()
def go(self):
foo = Foo();
(foo).name = u"bob"
_println((foo).name);
def _getClass(self):
return u"pkg.Ba... |
999,565 | b92d7c5f68ca816b909d232f7838c9febcd1ccda | ### Imports ###################################################################
from picamera.array import PiRGBArray
from picamera import PiCamera
import time
import cv2
import os
import pygame
import math
import ctypes
from ctypes import *
### Setup ############################################... |
999,566 | a775d075fa2b619a86398ea467627d4b4b2ac08c | import json
from BucketLib.bucket import Bucket
from cb_tools.cb_tools_base import CbCmdBase
from memcached.helper.data_helper import MemcachedClientHelper
class McStat(CbCmdBase):
def __init__(self, shell_conn, username="Administrator",
password="password"):
CbCmdBase.__init__(self, she... |
999,567 | 0df1af32b81b88b2fcddef381ff2c76ed27d0d79 | from django.shortcuts import render
import json
import urllib
import requests
import pyrebase
from django.http import HttpResponse
config = {
'apiKey': "your_api_key",
"authDomain": "domain_name",
"databaseURL": "db_url",
"projectId": "project_id",
"storageBucket": "storage_bucket",
... |
999,568 | e513728fa4fcd925ef4008aa67f8604a10bda3f5 | infile = open("McHenry_County_Precinct_Names.txt", "rt", encoding = 'utf-8')
namelist= infile.read()
infile.close()
processednamelist= namelist.replace(" ","")
PrecinctNameList= processednamelistnamelist.split('\n')
|
999,569 | c52431b0f6f3ce21628f83a72ae43d09debc73c4 | import ipdb
import numpy as np
import sympy as sp
import scipy as sc
import matplotlib.pyplot as plt
from numpy import sin,cos,tan,sqrt
from numpy.linalg import inv
import pickle
import time
EndTime = 0.55
ChangeInTime = 0.0001
Time = np.arange(0,EndTime+ChangeInTime,ChangeInTime,float)
#NumberOfAdditionalLoops = 99
... |
999,570 | 761213381bf54047b49a9e79c3916a90c7184e58 | from common_fixtures import * # NOQA
logger = logging.getLogger(__name__)
def test_dns_activate_svc_dns_consumed_svc_link(client):
port = "31100"
service_scale = 1
consumed_service_scale = 2
env, service, consumed_service, consumed_service1, dns = \
create_env_with_2_svc_dns(
... |
999,571 | b4e7a56146fbe12a9ce4716885eeeea366330232 | #-------------------------------------------------------------------------------
# Name: module1
# Purpose:
#
# Author: dzylc
#
# Created: 26-06-2014
# Copyright: (c) dzylc 2014
# Licence: <your licence>
#-------------------------------------------------------------------------------
import numpy ... |
999,572 | 2340e5567550de2b60ae9c1dfbc5e4b00f6cce98 | import math
pi = math.pi #Число Пи. Примерно, равное 3.141592653589793
def calculate_sphere_volume(r):
try:
x = int(r)
if r >= 0:
return 4/3*pi*r**3
else:
return 'Радиус сферы не может быть отрицательным'
except ValueError:
return r
print(calculate_sph... |
999,573 | 0cd341324cf75b566935fcc79d196a554c66e4ce | # coding: utf-8
from argparse import ArgumentParser
from collections import OrderedDict
import datetime as dt
import logging
import sys
from path_helpers import path
import si_prefix as si
from .. import pformat_dict
from ..commands import (DEFAULT_INDEX_HOST, freeze, get_plugins_directory,
in... |
999,574 | 5a2fe7dccab72dc1ae350ec7b1e8d6ac441de776 | import os
import math
import numpy as np
import pandas as pd
from utils import data_loader
import utils.display as display
from sklearn.metrics.pairwise import haversine_distances
from scipy.stats import norm
from dask.distributed import Client
from dask import delayed
def find_sequence(c_s, weight, p... |
999,575 | aeacdd905ca7d1b211f02bcbd8d508b5c33af7ed | # Django settings for mysite project.
import os
DEBUG = False
TEMPLATE_DEBUG = DEBUG
DATABASE_ENGINE = 'mysql' # 'postgresql_psycopg2', 'postgresql', 'mysql', 'sqlite3' or 'oracle'.
DATABASE_NAME = '' # Or path to database file if using sqlite3.
DATABASE_USER = '' # Not used with sq... |
999,576 | 08702d9bf80f14b4e7e24cadfc7da6e7b10f0444 | #-*- coding: utf-8 -*- ##设置编码方式
import win32com.client
import win32api,win32gui,win32con
import time
from PIL import ImageGrab
def mouse_move(x,y):
win32api.SetCursorPos( [x, y] )
def mouse_click(x=None,y=None):
if not x is None and not y is None:
mouse_move( x, y )
time.sleep(0.03)
win3... |
999,577 | 732ef01804c5d108b7dff47cd32bf7172987576a | import serial
import time
ser = serial.Serial('/dev/ttyACM0',115200,timeout=0.5)
time.sleep(3)
data = bytearray(b'R000F000R0000')
ser.write(data)
while 1:
for i in range(100, 255):
i=str(i)
temp = 'R' + '000' + 'F' + i + 'R0000'
data = bytes(temp, encoding='ascii')
ser.write(data)... |
999,578 | 2f8a3dde6788650807debac98a936eed3f84280c | from django.contrib import admin
from shop.models import Product, Order, ProductInOrder
from accounts.models import UserManager, User
admin.site.register(Product)
admin.site.register(Order)
admin.site.register(ProductInOrder)
admin.site.register(User)
|
999,579 | fe576866ab884fa8466fbed7f28570e2abb80117 | __author__ = "Jason"
# DONE
def camel_case(each_word):
return each_word[0:1].upper() + each_word[1:].lower()
# Return each word back with first letters capitalized
|
999,580 | c285b41bdd0eb30e8eecbbe7fa8ccf11c9dcb008 | """
data_curation_functions.py
Extract Kevin's functions for curation of public datasets
Modify them to match Jonathan's curation methods in notebook
01/30/2020
"""
import os
import sys
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib_venn import venn3
import seaborn as sns
impor... |
999,581 | 036af910011091bcc2ef0ebb9acfc81886a7bf8c | #!/usr/bin/env python
import os
import sys
import argparse
import collections
import numpy as np
import cv2
import math
import random
import time
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.utils.data
import torchvision.transforms as... |
999,582 | 0c5490cb2a9c5920a00a05c8c78a2e6fa8cf12d7 | import gin
import tensorflow as tf
import pandas as pd
@gin.configurable
def preprocess(image):
"""
PURPOSE: Dataset preprocessing: cropping and resizing
Args:
image: image to be preprocessed
"""
image_cbb = tf.image.crop_to_bounding_box(image, 0, 15, 256, 209)
image_res... |
999,583 | 5824a665eaed22aa7131c756db5711fc2e7c07ad | from Logic.CRUD import add
from Tests.test_ALL import run_all_tests
from UI.console import run_console
def main():
lista=[]
undol=[]
redol=[]
lista=add('1', 'Carmen', 'economy', 1230, 'da',lista,undol,redol)
lista=add('2', 'Marius', 'economy plus', 250, 'nu',lista,undol,redol)
lista=add('3', '... |
999,584 | a184b8063cf98b1a11d63eeb2cf3883c655777c1 | import requests
import json
def getUpdates(offset, token): # returns the list of messages
getUpdates = 'https://api.telegram.org/bot'+ token + '/getUpdates'
updates = requests.get(getUpdates + "?offset={}&timeout=60".format(offset), timeout=120)
data = updates.json()
messages = data['result']
retu... |
999,585 | 77ce1b8d16d9822f770f035b8c54179e102e6f47 | from event_queue import *
from population_graph import *
from graph_node import *
import numpy as np
import matplotlib.pyplot as plt
def build_tree(infect_rate,cure_rate,degree, gens):
tree = PopulationGraph(infect_rate,cure_rate)
root = tree.add_node(GraphNode(None))
counter = 0
tree_helpe... |
999,586 | 8bbd5498368f5ed0368b4d04edc3c41239bb94aa | # Generated by Django 2.1.3 on 2019-04-26 16:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mana', '0007_auto_20190426_2103'),
]
operations = [
migrations.AlterField(
model_name='customers',
name='customer_id... |
999,587 | 20f1f65792b983bc7ebb70266a0888c3a839c27e | # -*- coding: utf-8 -*-
"""
Provide a wrapper and helpers for OPEN_STACK library.
See https://api-explorer.scalr.com/ for API details
"""
from __future__ import absolute_import
import json
import logging
import re
import requests
import toil.provider.base
import toil
import toil.util.decorator
logg... |
999,588 | 8da58c8dce2a62e536f524a1217cb70394912781 | Enonce = """
Longest Collatz sequence
Problem 14
The following iterative sequence is defined for the set of positive integers:
n -> n/2 (n is even)
n -> 3n + 1 (n is odd)
Using the rule above and starting with 13, we generate the following sequence:
13 -> 40 -> 20 -> 10 -> 5 -> 16 -> 8 -> 4 -> 2 -> 1
It can be seen... |
999,589 | fd531f9e88120d4aec5fb81e05c9ce98f61c57e2 | from django.db import models
class data(models.Model):
name = models.CharField(max_length = 40)
description = models.TextField(max_length = 200)
Subscriptions = models.TextField(max_length = 200)
payment_due = models.DateField()
payment_amount = models.TextField()
image = models.ImageField(b... |
999,590 | 894979c2691f4d32d77f5d47f106d0de759de1ac | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
import asyncio
import pytest
import logging
import json
import sys
import traceback
from dev_utils import get_random_dict
logger = logging.getLogger(__name__)
log... |
999,591 | 37db8877267adcd30bd0ba76075fe0b11f2d47ed | from processdata import CSVData
from utils.normalize import NormalizeWord
def main():
# path to data"
path_data = "data/dictionary.csv"
# Load data from csv
csv = CSVData()
english_words = csv.load_data(path_data)
# strip() for all column in dict
nm = NormalizeWord()
english_words = nm... |
999,592 | 8f23613cbc9503ebbd467a7d65e6ed1187ec6b86 | import pdb
primeseries = []
def findprime(n):
i=0
while i<len(n):
j =2
flag=0
while j < n[i]:
if n[i]%j==0:
flag=1
break
j += 1
if flag == 0:
primeseries.append(n[i])
i += 1
# print "prime num... |
999,593 | bde8eb41fe47084657ce1d37cf6d3eddc2b85f96 | from abc import ABC, abstractmethod
class BaseRetriever(ABC):
@abstractmethod
def retrieve(self, query, candidate_doc_ids=None, top_k=1):
pass
|
999,594 | b78b919130d96322d5a68ffc28be4ba70f01afe7 | import VNE_func as fc
import itertools
import numpy as np
from copy import copy, deepcopy
filename_sub = 'substrate1209_1.txt'
filename_vir = 'virtual1212.txt'
cpu_substrate, bw_substrate = read_substrate(filename_sub)
VNR_list = read_virtual(filename_vir)
num_of_timeslots = 5000
total_cpu = sum(cpu_substrate)
total... |
999,595 | 6ec9be52fdb459d9d22e97f9eca5fb36fbb598cb | #!/usr/bin/env python
"""
Plot distribution of size increases
"""
import csv
import config
import matplotlib.pyplot as plt
import numpy as np
import math
config.setup()
# load data
data = []
with open(config.data_path + '/strata-simplication-increase.csv', 'rb') as csvfile:
spamreader = csv.reader(csvfile, delimi... |
999,596 | 04e845f918f89ff03a673e999e2008df2c827cf3 | from django.conf.urls.defaults import patterns, include, url
from django.conf import settings
urlpatterns = patterns('',
url(r'^', include('core.urls')),
)
static_files = [
r'^static/(?P<path>.*)$',
r'^(?P<path>favicon.ico)$',
r'^(?P<path>robots.txt)$',
r'^(?P<path>humans.txt)$',
r'^(?P<path... |
999,597 | 0599c0c50233f0a3c8192e4adfccac4f3d936c58 | # Copyright (c) Alibaba, Inc. and its affiliates.
from easycv.datasets.segmentation import SegDataset as _SegDataset
from modelscope.metainfo import Datasets
from modelscope.msdatasets.cv.easycv_base import EasyCVBaseDataset
from modelscope.msdatasets.task_datasets.builder import TASK_DATASETS
from modelscope.utils.co... |
999,598 | a41078df9e66a12683870dccc7f8eed2b7b67e95 | def by_example(obj):
if isinstance(obj, basestring):
return {'type': 'string', 'default': obj}
if obj is None:
return {}
if isinstance(obj, (list, tuple)):
ret = {'type': 'array', 'default': obj}
if obj and obj[0] is not None:
item = by_example(obj[0])
... |
999,599 | 12a5694106673a25d1e5f07a5518c76bab5e411d | from django.urls import path
from . import views
app_name = 'home'
urlpatterns = [
path('', views.index, name='index'),
# member
path('add-member/', views.add_member, name='add-member'),
path('member-list/', views.member_list, name='member-list'),
# book
path('add-book/', views... |
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