index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
993,200 | 44edafe7eca10d1d065886053de89aff09e3bb26 | import openpyxl
wb = openpyxl.load_workbook('./sample.xlsx')
sheet = wb['Sheet1']
cells = sheet['A2':'C3']
for row in cells:
for cell in row:
print(cell.value)
print('-'*10)
wb.close() |
993,201 | a214891b9593b201593e98c780b45e2be9c56cdb | import random
class Hand:
cards = ['2', '3', '4', '5', '6', '7', '8', '9', '10', 'J', 'K', 'Q', 'A']
suits = ['H', 'S', 'D', 'C']
def __init__(self):
self.hand = []
self.total = 0
self.aces = 0
self.first = 0
self.terminated = False
self.bust = False
... |
993,202 | 674b3f438ac498f6b050f32944d0a25be1929d8e | import matplotlib.pyplot as plt
import numpy as np
def show_single_model_loss(losses, model_name, mean=True):
losses = np.array(losses, dtype=np.float)
if mean is True:
losses = np.mean(losses, axis=1)
else:
losses = losses.flatten()
plt.plot(losses)
plt.ylabel('mse')
plt.xlabe... |
993,203 | 06726235a183e6206fa9c3d8b16b4ba06a69fd7f | #!/usr/bin/python3
import os
import json
datasetPath = "dataset/"
datasetFilePath = "dataset.json"
datasetFile = open(datasetFilePath, mode="w")
datasetFile.truncate()
result = [os.path.join(dp, f).replace("\\","/") for dp, dn, filenames in os.walk(datasetPath) for f in filenames if os.path.splitext(f)[1] == '.png']... |
993,204 | 36bafbe3f66506975c5275619a93ad19d41b8456 | def largest_possible_num(arr):
for i in range(len(arr)-1):
for j in range(i+1, len(arr)):
if arr[i]+arr[j] < arr[j]+arr[i]:
arr[i], arr[j] = arr[j], arr[i] #Swaping elements
return ''.join(arr)
a = ["61","59", "62"]
print largest_possible_num(a)
#One Line Solution
# def arrange(arr):
# ... |
993,205 | 4c2cde7977cef3036105e5e52c437e7f76a6680c | import re
import os
f = open('VM_clean_word')
VM_word = f.read()
VM_letter_con = re.compile(r'\n').sub('', VM_word)
# print(VM_letter_con)
if os.path.exists('VM_letter_count'):
os.remove(os.getcwd() + '\VM_letter_count')
print('Previous file removed!')
else:
print('Does not exist the "VM_lette... |
993,206 | 68c6457a1c9dd524985d61d22d825f24b175a0a6 | #!/usr/bin/python3
# ops.py by Bill Weinman [http://bw.org/]
# This is an exercise file from Python 3 Essential Training on lynda.com
# Copyright 2010 The BearHeart Group, LLC
def main():
list =[];
list = [0,1,2,3,4,5,6,7,8,9,10];
print(list[0:5]);
#shorthand to add 0-100 in a list
list[:... |
993,207 | f433acf77a57818c6ceaf37fb2fae362a21afacb | #Write a Python program to sort a list of tuples using Lambda.
t=(30,4,91,55,1,66,5)
f = lambda t:sorted(t)
print(f(t))
|
993,208 | f2928426bebe17dc9ae993783b822ba41fb7a643 | import unittest
from formation.formats import JSONFormat
class EqualityTestCase(unittest.TestCase):
def test_child_equality(self):
json1 = """
{
"type":"tag1",
"children": [
{"type": "tag2"},
{"type": "tag3"}
]
}
... |
993,209 | 711651ef8595687840a8d0f6dcf84bbcaaf912cd | getDatacenters = [{
'id': 0,
'name': 'dal05'
}]
|
993,210 | e77a5cf1d15f7c119567f7c5fa72c80db1d43994 | from fastapi.requests import Request
from car_market.infrastructure.version_provider import VersionProvider
def get_version_provider(request: Request) -> VersionProvider:
"""
See: https://fastapi.tiangolo.com/tutorial/dependencies/
:param request:
:return:
"""
return request.app.state.version... |
993,211 | 68ebaa2d8b9b4d02194e33444dc5625fe4032d50 | from flask import request, Response, abort, current_app
from functools import wraps
import jwt
from .models import ReaderDao
def get_auth_data():
session = current_app.session
token = request.headers.get('Authorization')
reader_id = jwt.decode(token, verify=False)['id']
secret = session.query(Reader... |
993,212 | 5c42da06e699a7a1807c6093c0ea8eb07fc2030c | import requests
#json_data = requests.get('http://www.floatrates.com/daily/idr.json')
json_data = {"usd":{"code":"USD","alphaCode":"USD","numericCode":"840","name":"U.S. Dollar","rate":6.8354476434761e-5,"date":"Sat, 31 Oct 2020 11:00:01 GMT","inverseRate":14629.619772663},
"eur":{"code":"EUR","alphaCode"... |
993,213 | 335f621b40923058f92291657cf0d096f4724586 | import os
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from pajki.db import db, URL
from pajki.base import BaseSpider
from settings import DATA_PATH
class LevicaSpider(BaseSpider):
name= "levica"
allowed_domains = ["levica.si"]
start_urls = ["http://www.l... |
993,214 | 942418f5e6511bbd8738c98b9c4560e5ca8c6c7d | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 23 20:15:07 2020
@author: victoria
"""
import torch
import numpy as np
from SAE import StackedAutoEncoder
import pandas as pd
from sklearn import preprocessing
from torch.autograd import Variable
#min-max normalisation
def NormalizeData(data):
... |
993,215 | 73664ba7f811b7af6a27cf52e5d5b7e352afa94c | import requests
from hashlib import md5
import base64
import random
import string
import time
with open("../test.jpg", "rb") as image_file:
encoded_string = base64.b64encode(image_file.read())
app_key = '<your appKey>'
app_secret = '<your appSecret>'
nonstr = ''.join(random.choice(string.ascii_uppercase + string.... |
993,216 | 9f710d07df6007a06f05757858e33c61b5978fa7 | # Generated by Django 3.0.5 on 2020-05-05 06:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('emp', '0038_auto_20200505_1127'),
]
operations = [
migrations.AddField(
model_name='student',
name='github',
... |
993,217 | 1470a7ad0f53425636fe6025f2a3a16b1217fc26 | import requests
url = "https://www.baidu.com"
r =requests.request("GET",url=url)
print(r.text())
print(r.state_code())
|
993,218 | 5ce88b78bfcc43e722e8dd83e96613b760ff104a | #!/usr/bin/env python
# -*- coding: utf-8 -*- #
AUTHOR = 'James Dey'
SITENAME = 'Deytalytics Blog'
SITEURL = 'http://deyblog.github.io/'
PATH = 'content'
TIMEZONE = 'Europe/London'
DEFAULT_LANG = 'English'
# Feed generation is usually not desired when developing
FEED_ALL_ATOM = None
CATEGORY_FEED_ATOM = None
TRANS... |
993,219 | 8704580cce0b5343cde72b56632102601f223930 | import sys
import os
import shutil
if __name__ == '__main__':
project_name = sys.argv[1]
input_file = sys.argv[2]
input_string = ""
if sys.argv.__len__() == 4:
input_string = sys.argv[3]
print(input_string)
input_path = "fileInput/%s/" % input_file
output_path = "fileOutput/%s/"... |
993,220 | 7d398fe5751c8ff95ace3fb52c8049d5a2836d62 | # Generated by Django 2.0.3 on 2018-04-19 06:25
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('auth', '0009_alter_user_last_name_max_length'),
('app1', '0006_auto_20180411_0259')... |
993,221 | 3d6bdcdd4a4e28eab6b7c8ae5f6595c58846e205 | ss = 'None'
if ss:
print('not None')
else:
print('None') |
993,222 | 320e8f37432dbf6684305be22630cda4f38c7471 | # created at 2018-01-29
# updated at 2018-09-28
# Author: coneypo
# Blog: http://www.cnblogs.com/AdaminXie
# GitHub: https://github.com/coneypo/ML_handwritten_number
# 利用保存到本地的训练好的模型，来检测单张 image 的标记
from sklearn.externals import joblib
from PIL import Image
img = Image.open("../test/test_5.png")
# Get feat... |
993,223 | 5c04b2e990f0c66411e7876cbfe8b689f908637b | import os
import time
import speech_recognition as sr
import azure.cognitiveservices.speech as speechsdk
from cs50 import SQL
from flask import Flask, flash, redirect, render_template, request, send_from_directory, session, url_for
from flask_session import Session
from flask_login import current_user
from tempfile im... |
993,224 | 1b18baac1b5ea5a05495ef052585a955b8868c6c | from libs.config import alias
from libs.myapp import send, color
def get_php():
return """function udpGet($sendMsg,$ip,$port){
$handle=stream_socket_client("udp://{$ip}:{$port}", $errno, $errstr);
if(!$handle){
echo("[-][UDP] {$errno} - {$errstr}\\n");
return;
}
$sendMsg=hex2bin($sendMsg);
@fwrite($handle... |
993,225 | 0a322d03a493200ef4f32473b790707bf83c9fe8 | import tensorflow as tf
from tensorflow.keras import layers, models
import numpy as np
import time
batch_size = 64
nbr_entrainement = 5
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()
x_train = (x_train.reshape(-1, 28, 28, 1)/255).astype(np.float32)
x_test = (x_test.reshape(-1, 28, 28, 1)/2... |
993,226 | c0711b28278c7cd54fc3d530d9f26fa4dd084eab | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
993,227 | 8e9548dbf8990b5d2a538bb77c9db65d704c3ea6 | from common.logger import Logger
logger = Logger()
logger.set_dir('C:\\Users\\Zhiming Zhou\\OneDrive\\workspace\\AdaShift-LGANs-MaxGP-refactored\\result\\syn_toy\\toy_case1_Adam1e-04_beta0.0_0.999_decay400000_mlp128x64_relu_lsgan_1.00_decay\\')
logger.load()
logger.plot() |
993,228 | 8e2ebd7d6fa1fc198a95a7963aa9a310d364348c | # -*- coding:utf-8 -*-
"""
2016.1.10
self is a alias of the real object
"""
class Book:
x = 0
name = ""
def __init__(self,name): # common
self.name = name
def readtimes(self):
self.x = self.x + 1
print "%s was read %s times." %(self.name, self.x)
#def __del__(s... |
993,229 | d48455b00e8a1bbfd6e69105c8a206c36e3e9534 | import requests
import json
import threading
import time
headers = {'PRIVATE-TOKEN': '<your_access_token>', 'Content-Type':'application/json'}
# Envio al conquer el bak
data_file = {
'ip':'192.168.0.14',
'puerto':5701
}
url = '192.168.0.14:5700/bak'
req = requests.post('http://'+url,data=json.dumps(data_file... |
993,230 | 62cd0e82dea95d57c7790834389b192e59c798d3 | import json
from app.models import db, Loot_Item
path = '/home/conrad/Documents/bl3Rework/bl3-companion-updated/app/seeds/'\
'loot_data/loot.txt'
def seed_loot_items():
# This will need to be changed when we deploy.
f = open(path, "r")
loot_data = f.read()
loot_list = json.loads(loot_data)
lo... |
993,231 | 1d722591ea7d5867674b523320364140c2d26cc5 | # -*- coding: utf-8 -*-
import logging
from chatbot import MessageGenerator
class RegularTweet(object):
def __init__(self, config):
self.generator = MessageGenerator(**dict(config.items('chatbot')))
def __call__(self, api):
try:
text = self.generator.generate()
api.u... |
993,232 | db4adc12de4c1674d1b368e8184f47b70e7577e4 | import sys
print(sys.version_info)
print(sys.version_info.major)
|
993,233 | 2b6f42fa0c97dbfe527b8d071996c8d008d9ccdd | from clove.network.bitcoin import Bitcoin
class Pesobit(Bitcoin):
"""
Class with all the necessary Pesobit network information based on
https://github.com/pesobitph/pesobit-source/blob/master/src/net.cpp
(date of access: 02/17/2018)
"""
name = 'pesobit'
symbols = ('PSB', )
nodes = ("21... |
993,234 | 5bc9a474dd655f07df945d2059211918d3b204bb | #!/usr/bin/python
# encoding:utf-8
Question = []
Answer = []
# Set the path to your own note address and note filename
noteFile ="/Users/ad/Downloads/Anki_ICU_Book.txt"
file = open(noteFile)
line =' '
while line :
line = file.readline()
# get Question by token 'Q:'
if 'Q:' in line and len(line) > 4:
... |
993,235 | 98e0388678d3bf39a792a034e614cbef29b8bd03 | import numpy as np
import mcts
import UNIverse as univ
from graph_tool.all import *
def draw_graph(magent):
g = magent.graph
vprops = {'label': g.vp.label, 'fillcolor':g.vp.color, 'overlap':'prism1000','overlap_scaling':'30'}
gdraw = graphviz_draw(g,vprops=vprops)
universe = univ.universe()
magent = mct... |
993,236 | a67226dc10b39fddb3cc264cebc56ef20607ba7b | class Solution:
# @param {string} s
# @param {string} p
# @return {boolean}
def isMatch(self, s, p):
if not p: #If p is "", return false, unless s is "" too.
return not s
m=len(s)
n=len(p)
i=0 ... |
993,237 | 3ea375d046655499396504f089410abb1c56fbfe | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
# Copyright (c) 2010 Citrix Systems, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you m... |
993,238 | 3897260f4cebd8eef1898595f8a969f0d6070ca1 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 12 20:42:08 2020
@author: ryan
"""
from pipeline_functions import *
import numpy as np
import pandas as pd
import cv2
from tqdm import tqdm
from scipy.ndimage import zoom
from contour_utils import *
from find_features import features
from scipy i... |
993,239 | 50751ee9cb61c79c7903084b9bd3ae767b7f9978 | # https://atcoder.jp/contests/abc095/tasks/arc096_b
# 嘘解法やないかい
# good noteにアイデアを書き出してる
# 重要な考察だけ
# 貪欲に次を決定する方法は取れない。∵見られない寿司が出てくる。その栄養価が高いとWA
# 最短距離を歩くにはずっと時計回りに進んでからどこかで折り返して反時計回りに進むのが最適。(逆も試してより大きな方の結果を得れば良い)
# じゃどこで折り返すのがMAX？スコアの累積のMAX(左端)でしょ
import sys
read = sys.stdin.readline
ra = range
enu = enumerate
def r... |
993,240 | cf937743447d13bebb4571106a719170cf4d5641 | # generated from genmsg/cmake/pkg-genmsg.context.in
messages_str = "/home/rob/baxter/devel/.private/sound_play/share/sound_play/msg/SoundRequestAction.msg;/home/rob/baxter/devel/.private/sound_play/share/sound_play/msg/SoundRequestActionGoal.msg;/home/rob/baxter/devel/.private/sound_play/share/sound_play/msg/SoundRequ... |
993,241 | 637fa318da5f9cdef95eb78f1a3a765d6cbb0249 | """Template robot with Python."""
import os
import csv
import time
from Browser import Browser
from Browser.utils.data_types import SelectAttribute
from RPA.Robocloud.Secrets import Secrets
from RPA.Excel.Files import Files
from RPA.FileSystem import FileSystem
from RPA.HTTP import HTTP
from RPA.PDF import PDF
from R... |
993,242 | f55deb27ff1c89ad93acefcf694d218d5ff86eed | #!/usr/bin/python
# Ported to Python and barely optimized by Hernan Chavez Thielemann
from lib.misc.file import write_file
from lib.misc.warn import print_dec_g
__merged_files__ = ['main.m', 'Writing_input.m', ]
def extract_lammps_data(_data_file_,_ck_buttons_, _forcefield... |
993,243 | 8b1e93bf828f475717708fb64465823d36b7fb66 |
from django.test import TestCase
from django.contrib.auth.models import User
from .models import *
from django.shortcuts import get_object_or_404
class TestViews(TestCase):
def setUp(self):
User.objects.create_user(username='username', password='password')
self.client.login(username='username', p... |
993,244 | 57b7fd0e43e5b4ec4500fb8d4e1865e63bae0215 | import tkinter
Prime=tkinter.Tk()
Prime.title('Odd Even List')
entry=tkinter.Entry(Prime)
entry.grid()
def enter():
data = int(entry.get())
Prime.title('Prime')
listbox = tkinter.Listbox(Prime)
listboxx = tkinter.Listbox(Prime)
listbox.grid(row=0, column=1)
listboxx.grid(row=0, colu... |
993,245 | 8c64f5fd6de3916194458f96df1aebb722319848 | #coding=utf-8
import os
WORK_DIRECTORY="."
LOG_DIRECTORY=os.sep.join([WORK_DIRECTORY,"log"])
CONFIG_DIRECTORY=os.sep.join([WORK_DIRECTORY,"conf"])
PROJECTS_DIRECTORY=os.sep.join([WORK_DIRECTORY,"projects"])
CONFIG_FILE=os.sep.join([CONFIG_DIRECTORY,"autotest.conf"])
NFC_INSTALL_TEST_DIR="nfc_install_test"
NFC_AUTO_T... |
993,246 | 81320ef5941df158a75228fcbc6588af2365f4fc | #!/usr/bin/env python
# encoding: utf-8
# -*- coding: utf-8 -*-
# @contact: ybsdeyx@foxmail.com
# @software: PyCharm
# @time: 2019/3/26 19:59
# @author: Paulson●Wier
# @file: 4.py
# @desc:
def manual_iter():
with open('1_3.txt',encoding='utf-8') as f:
try:
while True:
line = ne... |
993,247 | 214251a17d1d30f4728f4959c9fce81785ad3a69 | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 3.0.12
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info as _swig_python_version_info
if _swig_python_version_info >= (2, 7, 0):
def swig_im... |
993,248 | b82b530452109f379efb452a62e9bb034fa07e6a | #!/usr/bin/env python
#============================================
#
# Это мой первый скрипт на python. Правда.
# Но есть опыт разработки на TCL
# Не смотрел как делают коллеги, но думаю отличительной особенностью
# этого скрипта будет использование SNMP
#
# Спасибо!
#
#======================================... |
993,249 | 55c344640aacd48b7b190f130c81bae00709aa90 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import sys,os
import numpy as np
import keras
import pandas as pd
import re
from keras.preprocessing.sequence import pad_sequences
from keras.layers import Dense, Input, Flatten
from keras.layers import Conv1D, MaxPooling1D, Embedding
fr... |
993,250 | 19fb9de547cda3f071f7a8a0661c74e89646d647 | from rest_framework import serializers
from rest_framework.authtoken.models import Token
from django.contrib.auth.models import User
from . import models
class TeacherSerializer(serializers.ModelSerializer):
pk = serializers.UUIDField(read_only=True, source='idTeacher')
password = serializers.CharField(wri... |
993,251 | 7c71bbca6b15633c7df3fdf1c6edfa7ff7d57dc3 | # import os,time
# data = os.path.abspath('.')#获取当前文件路径
# # print(data)
# # data1 = os.listdir(data)#当前文件路径下的全部文件
# # print(data1)
# # data2 = os.getcwd() #当前文件路径
# # print(data2)
# # data3 = os.path.dirname(data)#当前路径的父路径
# # print(data3)
# # data4= os.path.basename(data)
# # print(data4)
# # data5 = os.path.isfile(da... |
993,252 | 1b00aec3361c5f1419ed37ac7cb97a516a05be56 | from readthedocs.core.utils.extend import SettingsOverrideObject
from readthedocs.embed.v3.views import EmbedAPIBase
class ProxiedEmbedAPIBase(EmbedAPIBase):
# DRF has BasicAuthentication and SessionAuthentication as default classes.
# We don't support neither in the community site.
authentication_classe... |
993,253 | c60eb1450dd4f838929ca54ab9e7aaa351aadee1 | import scrapy
from jusik.items import JusikItem
class MybotsSpider(scrapy.Spider):
name = 'mybots'
allowed_domains = ['finance.naver.com/item/main.nhn?code=005930']
start_urls = ['http://finance.naver.com/item/main.nhn?code=005930']
def parse(self, response):
codes = response.xpath('//*[@id=... |
993,254 | f73f13960012590b128a8b7f0d1fccaec22916a1 | '''
models.py
=========
Basic objects used for communication bodies with a servlet container.
'''
import struct
from collections import namedtuple
from .ajp_types import (AjpAttribute, AjpHeader, AjpPacketHeadersToContainer,
AjpRequestDirection)
from .utils import pack_as_string
# pylint: dis... |
993,255 | ec993fac6948252e988608c915e5f234c44e6b96 | def calcula_aumento(salario):
if salario > 1250.00:
salario *= 1.10
round(salario,3)
return ('{:.2f}'.format(salario))
elif salario <= 1250.00:
salario *= 1.15
round (salario,3)
return ('{:.2f}'.format(salario))
|
993,256 | 0cf0793241b95dddf7c3540c13579a23b02c6917 | # coding: utf-8
"""
@author: Evan
@time: 2019/12/30 15:44
"""
import requests
import time
import re
import os
from urllib.parse import urlencode
from requests import codes
from hashlib import md5
from multiprocessing.pool import Pool
def get_page(offset):
# ajax方式请求页面，返回json数据
headers = {
'cookie': '... |
993,257 | 58b3630d4a77f1c5d089649e28f47261f602d8f4 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
import json
import es2json.helperscripts as helperscripts
from es2json import ESGenerator
from es2json import IDFile
from es2json import IDFileConsume
def run(argv=None):
"""
here We build a simple cmdline tool so we can use our classes from shell
... |
993,258 | ab1f60cba5d5436fcc83357646a061acfbb67035 | """
Simple pattern editor example.
"""
import numpy as np
from traits.etsconfig.api import ETSConfig
ETSConfig.toolkit = 'qt4'
from traits.api import HasTraits, Instance
from traitsui.api import Item, View
from patterns.colored_checker_board import ColoredCheckerBoardEditor
from patterns.colored_checker_board_mode... |
993,259 | a85bda146131b616381337a9ed0d20b79abf68ff | from django.conf.urls import url, include
from django.urls import path
from .views import *
urlpatterns = [
path('dishes/', DishView.as_view()),
path('', StartView.as_view()),
path('ingredients/', IngredientView.as_view()),
path('drinks/', DrinkView.as_view()),
path('dishes/list', DishViewList.as_v... |
993,260 | 1b727a5cbdd1c9d5e53482151ee9942fa5b6dabd | import os
import pandas as pd
from pydub import AudioSegment
from gtts import gTTS
# pip install pyaudio
# pip install pydub
# pip install pandas
# pip install gTTS
def textToSpeech(text,filename):
mytext=str(text)
language = 'hi'
myobj= gTTS(text=mytext, lang=language, slow=False)
myobj.save(filena... |
993,261 | 6af54e1506a59a443593d53b15d85b56c0b655a4 | from django.urls import path
from . import views
urlpatterns = [
path('dashboard/', views.homepage, name='dashboard'),
path('result/', views.results, name='result'),
path('overview/', views.profile, name='overview'),
path('new/', views.addpatient, name='addPatient'),
#path('overview/predict/... |
993,262 | ac1e1a99888abadf0c83dff918d447203ac0b7ba | # -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2016-10-25 05:01
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('msgs', '0002_auto_20161025_0443'),
]
operations = [
migrations.RemoveField(... |
993,263 | e3c5a9e450b5fa8fa39a2f2f374a7b2cc33a0e57 | import re
m = re.findall(r'0\d{3}-\d{8}', 'sefsefdfs0518-87459266sdfsdfsfe')
print(m)
'''git test'''
|
993,264 | a0b5ab24bf2602d9df12fd9a28ee91bfd2785398 | import re
from chatbot.api.domain.repositories.SiteRepository import ISiteRepository
from chatbot.models.SiteUrlSetting import URL_PATTERN_DEFALT_ID
from chatbot.models.SiteUrlSetting import SiteUrlSettingModel
class SiteService:
def __init__(self, site_repository: ISiteRepository):
self.site_repository ... |
993,265 | bd70a6d206937aee783f32aebde2a606e433a16e | """
Copyright (c) 2016-2020 we-get developers (https://github.com/rachmadaniHaryono/we-get/)
See the file 'LICENSE' for copying permission
"""
from setuptools import setup, find_packages
version = '1.1.2'
setup(
name='we-get',
version=version,
description='Search torrents from the command-line',
auth... |
993,266 | 17ea1f4b9728354089b2396b27c324afbb43f56e | # a = 1 , b = 2 , c = 3 , 以此类推，返回字符串中加起来最大的单词
# 例：man i need a taxi up to ubud 返回 'taxi'
'''
def high(x):
letter = [chr(i) for i in range(ord('a'),ord('z')+1)]
nums = list(range(1,27))
dic = {}
for i in nums:
dic[letter[i-1]] = i
x_split = x.split(' ')
answer = {}
for word in x_split... |
993,267 | 9d4fe76a8d4d2f385ae26271f9dbe61335b3f474 | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 27 10:49:39 2020
@author: Arthur Donizeti Rodrigues Dias
"""
class Category:
def __init__(self, categories):
self.ledger=[]
self.categories = categories
self.listaDeposito=[]
self.listaRetirada=[]
self.total_entr... |
993,268 | f9ff653f1af933b7c1559fb4053b6327f92609e8 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import champagn.validators
class Migration(migrations.Migration):
dependencies = [
('product', '0016_auto_20160615_1130'),
]
operations = [
migrations.AlterField(
model_n... |
993,269 | a384c4d477dc6b607d0711f69c1380d5f74dddd9 | if __name__ == "__main__":
with open("./flanks_occ.txt", "r") as file:
file_string = file.read()
# parse string from file
dict_p = dict(entry.split(": ") for entry in file_string.split("\n"))
# transform entries to ints
final_dict = dict((int(k), int(dict_p[k])) for k in dict_p)
s... |
993,270 | 8462835a078dcd5490b9868ff12e94c7074df2f0 | import time
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.tensorboard import SummaryWriter
from torch.utils.data import TensorDataset, DataLoader
import argparse
from tqdm import tqdm
import os
from net.vae import VRAE
from net.ae import *
# Device con... |
993,271 | d7413641e6205c4974c28d127c6e217ee0f5e3db | # -*- coding: utf-8 -*-
"""
api component module.
"""
from pyrin.application.decorators import component
from pyrin.api import APIPackage
from pyrin.api.manager import APIManager
from pyrin.application.structs import Component
@component(APIPackage.COMPONENT_NAME)
class APIComponent(Component, APIManager):
"""
... |
993,272 | dec820c30472805d8bc8321f5b4c05ce025bc3dc | import numpy as np
from func.activation import sigmoid
from ml.classifier import AbstractClassification
from ml.model import Model
from ml.regression import AbstractRegression
from optimiz.optimizer import Optimizer
class LinearRegression(AbstractRegression):
def __init__(self):
pass
def predict(sel... |
993,273 | 405383203514635d44f334c307917eee8b1d6fb0 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 9 17:48:09 2018
@author: sarfraz
"""
import unittest
from NeuralNetwork import *
class TestNeuralNetwork(unittest.TestCase):
def test_NeuralNetwork(self):
NN=NeuralNetwork()
self.assertEqual(str(NN), "Neural Network")
... |
993,274 | b749500a8fe0f53b358c97a5e021a5e1d60fae41 | #!/usr/bin/env python
# usage python dictionary.py
# create plain text from concatenating dataset .txt files, then from plain text create dictionary.txt at same folder
# usage : python dictionary.py <path to folder containing .txt files>
from sys import argv
from pathlib import Path
import subprocess
from subproc... |
993,275 | ac2af60f02b2321db85eeb60ad13629e8be2de13 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('article', '0003_article_wx_url'),
]
operations = [
migrations.AddField(
model_name='article',
name='... |
993,276 | f0422beae93ad367e21eb897488a29408fbdb17b | import torch.nn.functional as F
import torch
from torch.nn.modules.loss import _Loss
from collections import Counter
import torch.nn as nn
import numpy as np
import math
class BaseLoss(_Loss):
def __init__(self,):
super(BaseLoss, self).__init__()
self.cum_loss = 0
def clear_loss(self):
... |
993,277 | 5525f4777bada45b5295ad281fea9cf9cf624cd4 | # -*- coding: utf-8 -*-
# &&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&
# Odoo Connector
# QQ:35350428
# 邮件:sale@100china.cn
# 手机：13584935775
# 作者：'wangguangjian'
# 公司网址： www.odoo.pw www.100china.cn
# Copyright 昆山一百计算机有限公司 2012-2016 Amos
# 日期：201... |
993,278 | 0a07a7a04c6146af728c66965ec5d9c092393520 | from scipy.spatial import distance as dist
from collections import OrderedDict
import numpy as np
from enum import Enum
from keras.models import load_model
from keras.applications.mobilenet import MobileNet
from keras.applications.vgg16 import VGG16
from keras.models import Model, Sequential
from keras.layers import Co... |
993,279 | 426a4f6bffe11de33208bc8a602165e0520ffbb8 | from rest_framework import viewsets
from Contact.Address.models import Address
from Contact.Address.serializers import AddressSerializer
class AddressViewSet(viewsets.ModelViewSet):
queryset = Address.objects
serializer_class = AddressSerializer
def get_queryset(self):
queryset = super().get_que... |
993,280 | edd14c9118f697f7bd66ef9141763fabf938b015 | import logging
from environment.environment import SERVICE_ACCOUNT_JSON, FIREBASE_SCOPE
from oauth2client.service_account import ServiceAccountCredentials
def get_credentials(user_mail=''):
"""
Args:
user_mail: mail of the user to impersonate, if any.
Returns:
Credentials object with the... |
993,281 | b761c8481d89ee6dcc26fd75e51e75bd5bade0ae | from tensorflow import keras
from keras.layers import Dense
from keras.layers import Flatten
from keras.layers import Dropout
from keras.layers import LSTM
from keras.layers import TimeDistributed
from keras.layers import ConvLSTM2D
from keras.layers.convolutional import Conv1D
from keras.layers.convolutional import Ma... |
993,282 | 8378c44dc6de0968a5f70c734feaf11a1dbc0b42 | licenses = """
.. |CC0| replace:: `CC0, Public Domain Dedication`_
.. |CC BY 3.0| replace:: `Creative Commons Attribution 3.0`_
.. |CC BY-NC 3.0| replace:: `Creative Commons Attribution-NonCommercial 3.0`_
.. |CC BY-SA 3.0| replace:: `Creative Commons Attribution-Shar... |
993,283 | 1e5d87b180a2fbe3debc716118d66544143936a7 | from .controllers.home import HomeController
from .controllers.api.users import UserController
from .controllers.api.facebook import FacebookController
home = HomeController()
user = UserController()
facebook = FacebookController()
def urlpatterns(app):
# root route
app.route('/', 'GET', home.index)
# ... |
993,284 | 6ba2aa6bab41610e284ad3b42806f6d433ec371d | # -*- coding: utf-8 -*-
'''
Created on 2010-6-3
@author: 郑仁启
'''
import unittest
from wsjnews.newshandler import NewsParser
class Test(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def testNewsParser(self):
parser = NewsParser()
parser.feed(html... |
993,285 | c9dc00acd092f7559ce8174b88cff2d9d70d7855 |
import os
import json
import logging
import pickle
from redis import Redis
from cerberus import Validator
from redis.exceptions import ConnectionError
class DataValidationError(Exception):
pass
class DatabaseConnectionError(Exception):
pass
class BadRequestError(Exception):
pass
class NotFoundErro... |
993,286 | e4bd9cda8b536d957e2f5443e75bcbfd06a2e6a7 | from django.db import models
from django.contrib.auth.models import User
from menu.models import Menu
# Create your models here.
""" Credits to CI's Boutique Ado Tutorial """
class RecipePost(models.Model):
"""
This model stores each blog post details
"""
menu = models.ForeignKey(Menu, null=False, b... |
993,287 | 76d33a2fea7ca81949606d23877227ae432a8163 | #!/usr/local/anaconda3/bin/python
import numpy as np
import sys, getopt, time, re
from collections import deque
from tkinter import *
try:
program = None
speed = 1.0
visual = False
opts, args = getopt.getopt(sys.argv[1:], 'hi:s:v', ['help', 'program=', 'speed=', 'visual'])
except:
print('[PROGRAM... |
993,288 | f85af5e9a9940be5df6823a1c81639a91032aae1 | # -*- encoding: utf-8 -*-
##############################################################################
# Company: Tecvemar, c.a.
# Author: Juan V. Márquez L.
# Creation Date:
# Version: 0.0.0.0
#
# Description: Report parser for: tcv_mrp_planning
#
#
####################################################... |
993,289 | ae87abc4bb5afacbcb17fdbf93f5937f53912246 | import pytest
@pytest.mark.usefixtures("setup")
class TestExample:
def test_fixtureDemo(self):
print("i will execute steps in fixtureDemo method")
def test_fixtureDemo1(self):
print("i will execute steps in fixtureDemo1 method")
def test_fixtureDemo2(self):
print("i will execute... |
993,290 | 632633b3705c9522f0b03996f638ae95ace3a18e | # Generated by Django 2.1.5 on 2019-03-24 19:39
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='MeterReading',
fields=[
('id', models.AutoF... |
993,291 | ffdeb8ed8bc677e6ca0c82206382399d7bec1a65 | '''
Problema:
* Escreva um programa que reconhece se uma string é um palíndromo.
* Considere letras maiúsculas e minúsculas como sendo iguais. Exemplo: Arara, ovO, reter.
'''
# Receber sring
fraseOriginal = input("Digite uma sring: ")
# Converter tudo para minúsculo
frase = fraseOriginal.lower()
# Verificar se é pa... |
993,292 | f5f1639a7b6e324f0bfe6513003a7b8638c38d64 | import random
from bs4 import BeautifulSoup
from flightsio.constants import ROUTE_FIELDS
def parse_destinations(destinations_html):
soup = BeautifulSoup(destinations_html, 'html.parser')
links = [link for link in soup.find_all('a') if '/airport/' in link.get('href')]
random.shuffle(links)
return {
... |
993,293 | 132877613c69dacdeeedfdf249f43034bd74d495 | import os
import sys
import pygame
class Colors:
black = (0, 0, 0)
white = (255, 255, 255)
gray = (96, 96, 96)
red = (255, 0, 0)
green = (0, 255, 0)
blue = (0, 0, 255)
purple = (255, 0, 255)
yellow = (255, 255, 0)
orange = (255,165,0)
aqua = (0, 255, 255)
brown = (165, 42, 42)
pink = (255, 192, 203)
col... |
993,294 | d7185e034fd552d6c7961bc757085e7d86d6f4fa | """
TRAFFIC IMAGE CLASSIFICATION
@author: Hayk Stepanyan
"""
import cv2
import numpy as np
import os
import sys
import tensorflow as tf
from sklearn.model_selection import train_test_split
EPOCHS = 15
IMG_WIDTH, IMG_HEIGHT = 30, 30
NUM_CATEGORIES = 43
TEST_SIZE = 0.3
def load_data(data_dir):
... |
993,295 | beed65d9d287d8d4bdeb12d8fde706ab450ac3ca | import bisect
class FlumeObjectContainer(object):
_instance = None
def __new__(cls, *args, **kwargs):
if not cls._instance:
cls._instance = super(FlumeObjectContainer, cls).__new__(cls, *args)
return cls._instance
def __init__(self):
self.__objects = []
se... |
993,296 | b0b7bbb3741cce48962acf0af000621daac92d44 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import glob
import os
import matplotlib.pyplot as plt
from matplotlib import _png
dirname = os.path.join(os.path.dirname(__file__), 'data')
files = sorted(os.path.basename(f)
for f in glob.igl... |
993,297 | c45658cc444a8ff7a30eb9aa8658fc2c61ce59da | slaretil_edocinu tropmi __erutuf__ morf
EIesaBLHN tropmi lhn. morf
:)EIesaBLHN(EIBLM ssalc
)x?('''r = LRU_DILAV_
//:?sptth
/moc.\)blm>etis<P?(*).\+]-_z-ad\[:?(
:?(
:?(
|-c*)/+]/^[:?(
:?... |
993,298 | bab7193f5186042247076e253b0cb74c52d9fb8e | import os
from typing import Callable, Optional, Tuple
import numpy as np
from torch.utils.data import Dataset
from pl_bolts.utils import _PIL_AVAILABLE
from pl_bolts.utils.warnings import warn_missing_pkg
if _PIL_AVAILABLE:
from PIL import Image
else: # pragma: no cover
warn_missing_pkg("PIL", pypi_name="P... |
993,299 | 344694583f49b373670eaad7ebdc9d70374bcd7b | import datetime
import logging
import uuid
from functools import partial
import core.case.subscription as case_subscription
from core.case.database import case_db
logging.basicConfig() # needed so apscheduler can log to console when an error occurs
class EventEntry(object):
"""
Container for event entries
... |
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