text
stringlengths
38
1.54M
from nullroute.core import Core import uuid from .entry_util import * from .string import * class FilterSyntaxError(Exception): pass class Filter(): def __call__(self, entry): return bool(self.test(entry)) @staticmethod def parse(text): token = "" tokens = [] depth = ...
from typing import Optional, Dict import xml.etree.ElementTree as ET class EphemeralLaunchFile(object): """ Provides temporary launch files that can be used to pass launch-time parameters to ROS. Specifically, ephemeral launch files are used to provide launch-time parameters to ROSLaunchParent since t...
#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.constant.ParamConstants import * class AlipayCommerceEducateFacepayApplyModel(object): def __init__(self): self._ext_info = None self._face_open_id = None self._face_uid = None self._scene = None ...
from pwn import * context.arch = 'amd64' ###Utils def new(sz,data): r.sendlineafter('> ','1') r.sendlineafter('size: ',str(sz)) r.sendafter('content: ',data) def prnt(idx): r.sendlineafter('> ','2') r.sendlineafter('index: ',str(idx)) return r.recvline()[:-1] def rmv(idx): r.sendlineafte...
print('HELLO\nWELCOME TO OUR SOFTWARE') username = (input('ENTER YOUR USERNAME: ')) #password = int(input('ENTER YOUR PASSWORD: ')) access='DIVINE' try: if username== access : password = int(input('ENTER YOUR PASSWORD: ')) if password == 1234 : print('YOU ARE WELCOME', username) e...
from __future__ import unicode_literals from django.apps import AppConfig class AnappConfig(AppConfig): name = 'anapp'
import unittest from bs4 import BeautifulSoup from nanorcc.parse import parse_tag, parse_rcc_file, get_rcc_data from collections import OrderedDict import pandas as pd class TestParseTag(unittest.TestCase): """test the parse_tag function using example.RCC""" def setUp(self): with open('tes...
import time import numpy as np from algorithms.memetic.memetic_algorithm import MemeticAlgorithm from algorithms.genetic.nsga_ii import NSGAII from problems.problem import Problem class NSMA(NSGAII, MemeticAlgorithm): """ Class for the NSMA Algorithm The main functions are: - Initialize a NSMA ...
# Script of derivate computation import numpy as np import matplotlib.pyplot as plt def dfdx_1(f,x,h): return (f(x + h) - f(x))/h def dfdx_2(f,x,h): return (f(x) - f(x-h))/h def dfdx_3(f,x,h): return (f(x + h) - f(x - h))/(2*h) def dfdx_4(f,x,h): return (-f(x + 2*h) + 8*f(x + h) - 8*f(x - h) + f(x -...
import argparse import logging import os import koco import pandas as pd import torch import torch.nn.functional as F from omegaconf import OmegaConf from transformers import BertForSequenceClassification from utils import get_device_and_ngpus, makedirs, read_lines logger = logging.getLogger(__name__) device, n_gpus...
from django.http.response import JsonResponse from django.shortcuts import render from rest_framework import status from rest_framework.decorators import api_view from rest_framework.parsers import JSONParser from products.models import Product from products.serializers import ProductSerializer # Create your views h...
import json defaultconfig={'station':'B08','apikey':'kfgpmgvfgacx98de9q3xazww','walktime':'6','loop':'False','simulate':'True'} #I've hardcoded my default configuration for the program, for resetting purposes or in case the config.json file is deleted class myMetro: """ Class for personal metro data. Most of...
def read_lines(file_name): lines = open(file_name).readlines() lines = filter(lambda l: l != "\n", lines) lines = list(map(lambda l: l[:-1].lower(), lines)) lines.reverse() return lines def read_def(lines, title=None): t, count = lines.pop().split(":") if(title is None): return t, ...
""" Given a string (with words and spaces), split it into substrings that have at most k characters each. Each substring must contain whole words only. Assume that k > the shortest word in the sentence. Example: s = "I pet my cats and dogs" k = 5 expected output: ['I pet', 'my', 'cats', 'and', 'dogs'] Example 2: s =...
# We can efficiently solve for multiple potentials with one command # Under the hood, using the batch functionality is more efficient # than solving for one potential at a time because executing in batch # doesn't require transitioning back in forth between the python # and the C backend between jobs. import schrod im...
import urllib.request import time success = False for i in range(6 * 3): try: url = 'https://raw.githubusercontent.com/wkcn/SYSULAB/master/script.py' req = urllib.request.Request(url) f = urllib.request.urlopen(req) s = f.read() success = True break except urll...
N=int(input()) Sum=0 numerator=2 dinominator=1 for i in range(N): Sum+=numerator/dinominator temp=numerator+dinominator dinominator=numerator numerator=temp print('{:.2f}'.format(Sum))
from django.shortcuts import render_to_response, get_object_or_404 from django.template import RequestContext from django.http import * from django.contrib.contenttypes.models import ContentType from django.contrib.auth.decorators import login_required from django.contrib.auth.decorators import login_required from djan...
# Generated by Django 3.0 on 2021-01-16 10:31 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), ("grades", "0026_remove_grad...
from __future__ import print_function, absolute_import, division from builtins import map from future.builtins import * from future import standard_library standard_library.install_aliases() # Copyright 2017 Autodesk Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file e...
## -*- coding: utf-8 -*- #################################################### from django.conf import settings from django.utils.translation import ugettext from image_editor.filters.basic import ImageEditToolBasic #CROP_RATIO class ImageCropTool(ImageEditToolBasic): class Media: js = ('jcrop/js/jquery....
from django.contrib import admin from doors.keymaster.models import * class KeymasterAdmin(admin.ModelAdmin): def force_sync(self, request, queryset): for km in queryset: km.force_sync() self.message_user(request, "Sync will be forced on next contact from the gatekeeper") list_dis...
''' 泰波那契序列 Tn 定义如下: T0 = 0, T1 = 1, T2 = 1, 且在 n >= 0 的条件下 Tn+3 = Tn + Tn+1 + Tn+2 给你整数 n,请返回第 n 个泰波那契数 Tn 的值。 示例 1: 输入:n = 4 输出:4 解释: T_3 = 0 + 1 + 1 = 2 T_4 = 1 + 1 + 2 = 4 示例 2: 输入:n = 25 输出:1389537 提示: 0 <= n <= 37 答案保证是一个 32 位整数,即 answer <= 2^31 - 1。 ''' from leetcode.tools.tim...
import discord import time import datetime import asyncio import random from discord.ext import commands from random import randint class Games(): def __init__(self, bot): self.bot = bot @commands.command() async def choose(self, *choices : str): """Chooses Between Multiple...
# Minci # time elapsed: 37 min # submitted 2 times class Solution: def calculate(self, s: str) -> int: # re-organize spaces s = s.replace(' ', '') for op in "+-*/": s = s.replace(op, str(' ' + op + ' ')) # separate the list by space s = s.split(' ') #...
import logging from celery.utils.log import get_task_logger from lms.lmstests.sandbox.config.celery import app from lms.lmstests.sandbox.linters import base _logger: logging.Logger = get_task_logger(__name__) _logger.setLevel(logging.INFO) @app.task def run_linters_in_sandbox(solution_file_id: str, code: str, fil...
import tensorflow as tf from tensorflow.keras.layers import Input, Conv2D, Flatten, Dropout, Dense, BatchNormalization, MaxPooling2D from keras.models import Model import matplotlib.pyplot as plt import seaborn as sns import numpy as np from sklearn.metrics import confusion_matrix (x_train, y_train), (x_test, y_test) ...
from numpy import * from numpy.linalg import * bac = array([[2, 1, 4],[1, 2, 0],[2, 3, 2]]) vet = array(eval(input("Vetor: "))) vet = vet.T qtd = dot(inv(bac),vet) print("estafilococo: ", round(qtd[0], 1)) print("salmonela: ", round(qtd[1], 1)) print("coli: ", round(qtd[2], 1)) if(qtd[0] == min(qtd)): print("e...
# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes ...
import unittest # 4L de jacky # le compteur kilométrique de la 4L de jacky est tout neuf # quand le compteur affiche 222222 on retourne True # quand le compteur affiche 444444 on retourne True # quand le compteur affiche 738922 on retourne False # quand le compteur affiche 051968 on retourne True from Odometer import...
from bert.preprocess import PAD_INDEX from sklearn.metrics import f1_score, balanced_accuracy_score import numpy as np def mlm_accuracy(predictions, targets): mlm_predictions, nsp_predictions = predictions mlm_targets, is_nexts = targets relevent_indexes = np.where(mlm_targets != PAD_INDEX) relevent...
# Importing the required libraries import hashlib, json, sys """ def HashFunc(msg=""): if type(msg) != str: msg = json.dumps(msg,sort_keys=True) if sys.version_info.major == 2: return unicode(hashlib.sha256(msg).hexdigest(),'utf-8') else: return hashlib.sha256(str...
from random import randint from time import sleep dados = [] megasena = [] print('=='*20) print('{:^40}'.format('MEGA-SENA')) print('=='*20) n = int(input('Quantos jogos você quer que eu sorteie? ')) print(f'-=-=-=-=-= SORTEANDO {n} JOGOS -=-=-=-=-') for c in range (1, n+1): for d in range(0, 6): ...
import os import pickle import numpy as np from sklearn.model_selection import train_test_split """This script implements the functions for reading data. """ def loadpickle(path): with open(path, 'rb') as file: data = pickle.load(file,encoding='bytes') return data def load_data(data_dir): """Load ...
#! /usr/bin/env python # coding = utf-8 import time, pickle, json d = {'a': 'b'} c = {'d': 'e'} p1 = pickle.dumps(d) p2 = pickle.dumps(c) j1 = json.dumps(d) j2 = json.dumps(c) def write2txt(): with open('time.txt', 'w') as f: f.write(j1) f.write('\n') f.write(j2) def readftxt(): with...
def readAPIC(filename, artist, album, filetype): fp = open(filename, 'rb') if filetype == '.m4a': covr = b'covr' elif filetype == '.mp3': covr = b'ID3' else: return False imagetype = '.png' start = b'\x89\x50\x4E\x47\x0D\x0A\x1A\x0A' # 默认为png,因为png的文件头长,误匹配到的概率低 end ...
import subprocess class PowerShellInterface: def __init__(self): pass def runCommand(self, cmd): result = subprocess.run(["powershell", "-Command", cmd], capture_output=True) return result def printTestCommandOutput(self): testCommand = "Write-Host Hello World!" res...
import subprocess import re from json import JSONEncoder, JSONDecoder IFACE_STATUS_REGEX = re.compile(r"^[0-9]+:\s([a-zA-Z0-9]+):\s<([A-Za-z,-_]+)>.+state\s((DOWN|UP)).*") class IFaceError(Exception): pass def check_interface_up(interface_name): check_cmd = ['ip', 'link', 'show', interface_name] proc =...
# -*- coding: utf-8 -*- ''' @Author: Wengang.Zheng @Email: zwg0606@gmail.com @Filename: 接雨水.py @Time: 2021-01-17-14:53:55 @Des: 核心思路:i位置的蓄水量由左右两边的最高柱子高度决定 water[i] = min( # 左边最高的柱子 max(height[0..i]), # 右边最高的柱子 max(height[i..end]) ) - height[i] ''' def violent_trap(heights): """ @brief 接雨水暴力解法: O(n^2),...
#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2017/8/16 17:52 # @Author : Geda import requests import re import urllib import os import sys reload(sys) sys.setdefaultencoding('utf8') def get_response(url): response = requests.get(url).text return response def get_content(html): ...
# -*-coding = utf-8-*- # __author:"NGLS Chuang" # @time:2019/12/4 15:39 import os import sys # 导入路径 from ChooseCourseSystem.core import data from ChooseCourseSystem.core import education # BASE_PATH = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # sys.path.append(BASE_PATH) # print(BASE_PATH) # 创建学校 d...
def printinfo(): print("---" * 10) print(" python就是简洁") print("---" * 10) def add2(a, b): c = a + b print(c) def add2num(a, b): return a + b # 返回多个值 def divide(a, b): shang = a // b yu = a % b return shang, yu printinfo() add2(11, 21) result = add2...
from aws_cdk import core as cdk from aws_cdk import aws_dynamodb as _ddb import os class GlobalArgs: """ Helper to define global statics """ OWNER = "MystiqueAutomation" ENVIRONMENT = "production" REPO_NAME = "glue-elastic-views-on-s3" SOURCE_INFO = f"https://github.com/miztiik/{REPO_NAM...
# -*- coding: utf-8 -*- import urllib2 from urllib import urlencode url = 'http://apis.baidu.com/turing/turing/turing' req = urllib2.Request(url) req.add_header('apikey', '1b7f52ccc223f79eb67ab1cc25af0ab7') urlParam = { 'key': '879a6cb3afb84dbf4fc84a1df2ab7319', 'info': '你好', 'userid': '张三' } urlParam = url...
#!/usr/bin/env python # -*- coding: utf-8 -*- import sys print("hi") process.stdout.readline() sys.stdout.flush() sys.stdout.write("\n") sys.stdout.write("running bigQuery ETL...") import ETLbiqQueryData ETLbiqQueryData.main() sys.stdout.flush() sys.stdout.write("Done!") sys.stdout.write("\n") sys.stdout.write("clean...
{ "id": "mgm4456372.3", "metadata": { "mgm4456372.3.metadata.json": { "format": "json", "provider": "metagenomics.anl.gov" } }, "providers": { "metagenomics.anl.gov": { "files": { "100.preprocess.info": { ...
from selenium import webdriver from selenium.webdriver.common.keys import Keys from selenium.webdriver.common.desired_capabilities import DesiredCapabilities from fake_useragent import UserAgent import MySQLdb from multiprocessing.dummy import Pool as ThreadPool # from multiprocessing import Pool import time # sql='c...
#!/bin/python3 import math import os import random import re import sys def getWays(n, c): mem = [0] * (n+1) mem[0] = 1 for coin in c: for i in range(coin, n+1): mem[i] += mem[i-coin] return mem[n] if __name__ == '__main__': fptr = open(os.environ['OUTPUT_...
import os from conans import ConanFile, tools class SmlConan(ConanFile): name = "SML" version = "latest" license = "Boost" url = "https://github.com/paulbendixen/sml.git" description = "[Boost].SML: C++14 State Machine Library" #no_copy_source = True # No settings/options are necessary, t...
import string from collections import Counter import matplotlib.pyplot as plt from nltk.corpus import stopwords from nltk.sentiment.vader import SentimentIntensityAnalyzer from nltk.stem import WordNetLemmatizer from nltk.tokenize import word_tokenize text = open('read.txt', encoding='utf-8').read() lower_c...
from datetime import datetime import pandas as pd print('\nSistema de cadastro de anúncios.\n') anuncio = [] # Função para cadastrar def cadastro(): nome = input('Digite o nome do anúncio: ') cliente = input('Digite o nome do cliente: ') # Data inicial dataInicio = datetime.strptime(input(f'Digite a d...
from django import forms from .models import UserAccount class UserAccountForm(forms.ModelForm): class Meta: model = UserAccount fields = ('default_first_name', 'default_last_name', 'default_phone_number', 'default_street_address1', 'default_street_address2', 'd...
from rest_framework import serializers from teams.serializer import TeamSerializer from .models import Match class MatchSerializer(serializers.ModelSerializer): away_team = TeamSerializer(many=False) home_team = TeamSerializer(many=False) phase = serializers.CharField(source='get_phase_display') wi...
import os import pdb import glob import json import dask import logging import datetime import argparse import subprocess import numpy as np import pandas as pd import xarray as xa import random as rand from adcirc_utils import * from time import perf_counter, sleep from array import array from contextlib import contex...
class myTest: import pry def __init__(self, val): self.interface = "test" + val def dodo(self): print(self.interface) self.pry()
import os import numpy as np dataset_folder = '/home/priya/code/data_volume/timecycle' outlist = os.path.join(dataset_folder, 'davis/DAVIS/vallist.txt') imgfolder = os.path.join(dataset_folder, 'davis/DAVIS/JPEGImages/480p/') lblfolder = os.path.join(dataset_folder, 'davis/DAVIS/Annotations/480p/') jpglist = [] f1 =...
import os, sys PROJECT_ROOT = os.path.abspath(os.path.dirname(__file__)) PROJECT_NAME = os.path.basename(PROJECT_ROOT) sys.path.insert(0, PROJECT_ROOT) sys.path.insert(0, os.path.abspath(os.path.join(PROJECT_ROOT, os.pardir))) venv_path = os.path.abspath(os.path.join(PROJECT_ROOT, "../../../")) activate_this = os.pa...
from cryptography.hazmat import backends from cryptography.hazmat.primitives.asymmetric import dsa from cryptography.hazmat.primitives.asymmetric import ec from cryptography.hazmat.primitives.asymmetric import rsa from Crypto.PublicKey import DSA from Crypto.PublicKey import RSA # Correct dsa.generate_private_key(key...
import schedule import time import days2 as d import stopRunning2 as stp schedule.every().friday.at("00:00").do(d.mondayToWednesdayAndWeekendPrayer) schedule.every().sunday.at("00:00").do(d.mondayToWednesdayAndWeekendPrayer) schedule.every().monday.at("00:00").do(d.mondayToWednesdayAndWeekendPrayer) schedule.every()....
import numpy as np from sklearn.cluster import KMeans import pickle as pkl print ('data preparing ...') # read the src datapath = '../../data/' data = np.genfromtxt(datapath + 'Sepsis_imp.csv', dtype=float, delimiter=',', skip_header=1) # remove intervention, but include ventilation, sedation, RRT interventions = np....
for _ in range(int(input())): n = int(input()) arr = list(map(int, input().split())) max_ans = 0 check_ans = 0 tot_ind = 0 min_val = 0 for i in arr: tot_ind += 1 if min_val == 0: min_val = i else: if i < min_val: ...
# WORK IN PROGRESS class Flatten(nn.Module): def flatten(x): N = x.shape[0] # read in N, C, H, W return x.view(N, -1) # "flatten" the C * H * W values into a single vector per image hidden_layer_size = 4000 learning_rate = 1e-2 input_dim = 20 num_channels = 3 model = nn.Sequential( Flatten(), nn.Linear(inp...
import bugzilla import configuration import logging URL = configuration.get_config(parameter_type='bugzilla-creds', parameter_name='bugzilla_url') bzapi = bugzilla.Bugzilla(URL) default_product = configuration.get_config(parameter_type='default-params', parameter_name='default_product') default_component = configurati...
""" Runs the test dataset over the data, and stores the predictions The arguments are loaded from a .yaml file, which is the input argument of this script (Instructions to run: `python test_model.py <path to .yaml file>`) """ import os import sys import time import logging import pickle import yaml import numpy as n...
# -*- coding: utf-8 -*- """ Execution utilities. """ import multiprocessing import concurrent.futures as cf import subprocess import logging import gc from math import floor import os import psutil import getpass import shlex from warnings import warn from rex.utilities.loggers import LOGGERS, log_mem from rex.utiliti...
from flask import Flask, render_template, request, redirect from flask import Blueprint from repositories import task_repository, user_repository from models.task import Task tasks_blueprint = Blueprint("tasks", __name__) @tasks_blueprint.route('/tasks') def tasks(): # Get all the tasks tasks = task_repositor...
import MySQLdb import re """ Connects to the MySQL database. Various functions to retrieve and update data. Each function a forms new connection with the server, for ease of access in project development. Functions: add_to_blacklist(word) - Inserts word into blacklist, if word already exists ...
import pandas as pd import numpy as np from PIL import Image #Оставляем у числа только 3 знака после запятой def toFixed(numObj, digits=3): return f"{numObj:.{digits}f}2" #Все бинарные изображения почему-то имеют значения не 1 и 0, а 255 и 0. Эта функция исправляет проблему. def foo(item): if (item == 255)...
from flask_restful import Resource, reqparse from backend.main_api import main_api from backend.models import Asset, AssetSchema, User, Branch, AssetCostCenterSchema, AssetCostCenter, CostCenter from backend.db import save_to_db, delete_from_db from flask_jwt_extended import jwt_required from backend.api.utils import c...
#!/usr/bin/env python # 你想创建一个字典,并且在迭代或序列化这个字典的时候能够控制元素的顺序。 from collections import OrderedDict # 一个 OrderedDict 的大小是一个普通字典的两倍,因为它内部维护着另外一个链表。 # 所以如果你要构建一个需要大量 OrderedDict 实例的数据结构的时候(比如读取100,000行CSV数据到一个 OrderedDict 列表中去) # 那么你就得仔细权衡一下是否使用 OrderedDict 带来的好处要大过额外内存消耗的影响。 d = OrderedDict() d['foo'] = 1 d['bar'] = 2 d[...
# functions def print_separator(): print('--------') print('here') # intructions print("Hello World") # variables name = 'Wes' age = 31 total = 99.78 found = False print(name) print(age) print(total) print(age + 13) print_separator() # if statements user_age = 79 if(user_age ...
import requests url = 'http://httpbin.org/post' data = { 'name': '孔维一', 'age': 21 } resp = requests.post(url, data=data) print(type(resp)) print(resp) print(resp.text) print(resp.json())
import datetime as dt import matplotlib.pyplot as plt from matplotlib import style import pandas as pd import pandas_datareader.data as data import os import ta ticker = input(str("Enter ticker: ")) def get_stock_prices(): data_source = 'yahoo' start = dt.datetime(2018, 1 ,1) end = dt.datetime.today() ...
################ modules for HSPICE sim ###################### ############################################################## ######### varmap definition #################### ############################################################## ### This class is to make combinations of given variables #### ### ...
# -*- coding:utf-8 -*- # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Balance: def isBalance(self, root): # write code here (_, isB) = self.isBalanceIter(root) return isB # (height, isBalance) def is...
import torch import torch.nn as nn import torch.nn.functional as F from .pointnet import PointNetfeat from .pointnet2 import PointNet2feat as PointNet2 class TPointNet2(nn.Module): ''' TPointNet++ Extracts an initial z0 feature based on the given sequence and regresses TNOCS points. ''' def __init...
import argparse import cv2 as cv import os import numpy as np import random import sys class Person(): def __init__(self, id, label, data): self.id = id self.label = label self.data = data def get_image_data(file_name): img = cv.imread(file_name, cv.IMREAD_GRAYSCALE) # Muda o t...
import concurrent.futures from tqdm import tqdm import requests from z3 import * import math import json import time # M = 3 # N = 13 # t = [3, 3, 4, 3, 4, 3, 3, 3, 4, 3, 3, 4, 4] # c = [[0, 2, 3, 4, 8, 10], [0, 1, 3, 5, 6, 7, 8], [1, 2, 3, 7, 9, 11, 12]] # S = [[2, 4, 8], [4, 10], [], [7, 9], [], [11, 12], [8, 12], []...
# -*- coding:utf-8 -*- try: from io import StringIO except ImportError: from StringIO import StringIO from lxml import etree OPTIONS = [ (('-p', '--path'), {'help': 'xml contains xpath criteria will be extracted', 'type': str}), (('-b', '--body'), {'help': 'xpath element to extract when matching is...
# -*- coding: utf-8 -*- """ Author: Jef De Smet | jef.desmet@kuleuven.be edited: Pieter Spaepen Date: February 2020 Class of elements. """ """ An element has at least elementNr elementNr used as identifier of this element, must be chosen unique firstNode the starting node s...
from django.contrib import admin from micameo.order.models import (Order, Occasion, Cameo) # Register your models here. @admin.register(Occasion) class Occasion(admin.ModelAdmin): list_display = ["occasion_name"] search_fields = ["occasion_name"] @admin.register(Order) class Order(admin.ModelAdmin): lis...
import os from datetime import datetime from flask import Flask, Response, jsonify, request from prometheus_flask_exporter import PrometheusMetrics from prometheus_client import make_wsgi_app from werkzeug.middleware.dispatcher import DispatcherMiddleware from werkzeug.serving import run_simple from books import boot...
import json import logging from pathlib import Path import firebase_admin.firestore from google.api_core.exceptions import AlreadyExists, NotFound from google.cloud.firestore_v1 import Client from telegram import Message from giru.config import settings cert_file_path = Path(settings.FIREBASE_ACCOUNT_KEY_FILE_PATH)....
from collections import Iterable def flatten(items, ignore_type=(str,bytes)): ''' 对嵌套的序列进行扁平化操作 :param items: 可迭代对象 :param ignore_type: 最小元素类型 :return: 单个元素 ''' for x in items: if isinstance(x,Iterable) and not isinstance(x,ignore_type): yield from flatten(x) els...
from flask import request from app.api.responses import Responses parties = [] class PoliticalParty: """this initializes political party class methods""" def __init__(self, name, hqAddress, logoUrl): self.party_id = len(parties) + 1 self.name = name self.hqAddress = hqAddress ...
class Config(object): def __init__(self, path): @property def pages(self): return self class Page(object): def __init__(self, plugin, name, config): self._name = name self._config = config self._plugin = plugin def widget(self):
from django.conf.urls import patterns, url from fans.views import get_fans, fans_report, group_up urlpatterns = patterns(".views", url('^get_fans/', get_fans), url('^report/', fans_report), url('^group_up/', group_up), )
# i=input() # print(f"hello {i}") def square(x): return x*x def mian(): for i in range(10): print("{} squared is {}".format(i,square(i))) if __name__=="__main()__": mian() print(square(10))
#################### # Ydna Hash Killer # # V: 1.1.1 # #################### import itertools import hashlib import os import hashlib,binascii composicao = True tamanho = True continuar = True continuar2 = True continuargeral = True chrs = "" criptografia = "" codehash = "" quadro = """ ...
# this code is on the lowest level .Hadn't added any error handling. Need to improve this in future # See this link and add other methods https://github.com/eclipse/paho.mqtt.python#single import paho.mqtt.client as paho import time import paho.mqtt.publish as publish def my_mqtt_publish(topic, payload): try: ...
import pandas as pd import numpy as np import sketches import matplotlib.pyplot as plt import torch from tqdm import tqdm from pathlib import Path import itertools from multiprocessing import Pool from functools import partial import multiprocessing def get_f_error(true, pred): return np.sum(true * abs(pred - true...
import os import subprocess import time import urllib.request from shutil import copyfile def main(): cwd = os.getcwd() copyfile(cwd + "/modlunky2.exe", cwd + "/modlunky2.exe.bak") # Creates temp backup try: os.remove(cwd + "/modlunky2.exe") # deletes current version print("Download la...
# !/usr/bin/env python # -*- coding: utf-8 -*- """Crypto related wrapper functions.""" import logging import pyswitcheo.crypto_utils as cutils from neocore.Cryptography.Crypto import Crypto from pyswitcheo.datatypes.fixed8 import Fixed8 from pyswitcheo.datatypes.transaction_types import ( TransactionInput, Tra...
__version__ = '0.0.1' __author__ = 'czh' from .main import TPTool from .main import normalThread from .webDriverPool import ChromeDriverHelper from .threadGuiHelper import threadGuiHelper
#coding=utf-8 ''' Created on 2013年9月22日 @author: hongkangzy ''' from distutils.core import setup import py2exe setup( options = { "py2exe": { "dll_excludes": ["MSVCP90.dll"], } },windows=[{"script": "main.py"}])
#!/usr/bin/python3 # -*- coding:utf-8 -*- # Author: Hongying_Lee # @Time: 2020/5/4 # @Name: findTheDifference def findTheDifference(s,t): dict_s = {} for i in s: if i not in dict_s: dict_s[i] = 1 else: dict_s[i] += 1 dict_t = {} for j in t: if j not in ...
from model.amortization_schedule import AmortizationSchedule from model.monthly_details import MonthlyDetails class Calculator: """Mortgage calculation class. Calculates the monthly payment, interest, etc""" def __init__(self): self.last_value = 0 @staticmethod def convert_rate_to_monthl...
#Calculates pi using the Gregory-Leibniz series. from math import * from random import * iterations = 10000 divisor=1.0 switch=False pie=4/divisor for x in range(0,iterations): divisor+=2 if switch: pie+=4/divisor switch=False else: pie-=4/divisor switch=True print (pie) print print (pi) p...
from flask import Flask, jsonify, request import pymongo from flask_cors import CORS from os import environ from bson.json_util import dumps import json app = Flask(__name__) client = pymongo.MongoClient("mongodb+srv://root:0NqePorN2WDm7xYc@cluster0.fvp4p.mongodb.net/iot?retryWrites=true&w=majority&ssl=true&ssl_cert_...
from tornado.web import RequestHandler, asynchronous from tornado.gen import coroutine from tornado.concurrent import run_on_executor from concurrent.futures import ThreadPoolExecutor from tornado.httpclient import AsyncHTTPClient import requests import json import os from base.ansible_api import ANSRunner import loggi...