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from django.db import models class Masjid(models.Model): name = models.CharField(max_length=255, default="") area = models.CharField(max_length=100, default="") address = models.TextField(default="") remarks = models.CharField(max_length=255, default="") source = models.CharField(max_length=255, d...
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# -*- coding: utf-8 -*- from threading import Thread from flask import current_app, render_template,request,Flask from flask_mail import Message from app import mail from app import create_tpapp import time from flask import Flask timedic={} APP = None def async_send_mail(app, msg): with app.app_context(): ...
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#!/usr/bin/env python2 # -*- coding: utf-8 -*- # vim: ts=2 sw=2 expandtab # ---------------------------------------------------------------------------- LICENSE = \ u""""THE PIZZA-WARE LICENSE" (derived from "THE BEER-WARE LICENCE"): <cfr34k-yacy@tkolb.de> wrote this file. As long as you retain this notice you can do ...
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#Author guo # -*- coding:utf-8 -*- class ListNode: def __init__(self, x): self.val = x self.next = None class Solution: def FindFirstCommonNode(self, pHead1, pHead2): # write code here len1 = 0 len2 = 0 pNode1 = pHead1 pNode2 = pHead2 while pN...
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#soma ímpares múltiplos de três (com contagem e soma no FOR) soma=0 c=0 for n in range(1,501): if n%2==1 and n%3==0: c+=1 soma+=n print('A soma de todos os {} valores solicitados é {}'.format(c, soma))
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import mysql.connector from request import api_request from database import connect_db summoner_list = {} summoner_done = False def new_summoner(name): #print(name) r_name = name.replace(" ","%20") url = "https://na1.api.riotgames.com/lol/summoner/v4/summoners/by-name/" + r_name + "?" data = api_request(url) #pr...
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from command_system import user_command, Response @user_command class Crazy: keys = ['крейзи', 'крейзи пицца', 'удиви меня', 'необычное', 'кислая'] @classmethod def process(cls, text): message = '\n Томатный соус, увеличенные порции цыпленка и пепперони, моцарелла, кисло-сладкий соус \nМаленькая ...
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''' Created on Nov 3, 2016 @author: adh ''' from .vuldb import VulDb def main(): import argparse parser = argparse.ArgumentParser() parser.add_argument( 'datapath', default='./out', help='path to CERT Vulnerability Data Archive') parser.add_argument( 'outfile', default='cert-vuldata-v...
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import cProfile def erSimple(n): k = 1000 if n == 1: return 1 mas = makeMas(k) while(len(mas) < n): k *= 2 mas = makeMas(k) return mas[n - 2] def makeMas(n): sieve = [i for i in range(n)] sieve[1] = 0 for i in range(2, n): if sieve[i] != 0: j = i * ...
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import json from tabulate import tabulate CATEGORIES = {} with open('categories.json', 'r') as file_: results = file_.read() CATEGORIES = json.loads(results) with open('results.json', 'r') as file_: results = file_.read() data = json.loads(results) table = [] for category in CATEGORIES: cat = CATEGORI...
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from __future__ import unicode_literals, print_function import plac import os import spacy import codecs def main(lang_id, corpus_dir, out_file): #corpus_dir = Path(corpus_dir) #output_dir = Path(output_dir) #assert output_dir.exists() nlp = spacy.load(lang_id) tokenizer = nlp.tokenizer ...
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""" 请实现一个函数用来判断字符串是否表示数值(包括整数和小数)。 例如,字符串"+100"、"5e2"、"-123"、"3.1416"、"0123"及"-1E-16"都表示数值,但"12e"、"1a3.14"、"1.2.3"、"+-5"及"12e+5.4"都不是。 """ class Solution: def isNumber(self, s): if not s or len(s) <= 0: return False charList = [w.lower() for w in s] # 如果存在部分C if 'e' i...
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# Name created: not declared ahead of time a = 3 b = 4 # Addition(3 + 1), subtraction(3 - 1) print(a + 1, a - 1) # Multiplication (4 * 3), division (4 / 2) print(b * 3, b / 2) # Modulus(remainder), power (4 ** 2) print(a % 2, b ** 2) # Mixed-type conversions print(2 + 4.0, 2.0 ** b) # Same as ((4/2) + 3) print(b/...
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# -*- coding: utf-8 -*- """ Created on Wed Nov 27 16:53:00 2019 @author: DELL """ import cv2 import numpy as np import os from glob import glob def main(): img_mask_left = 'left.jpg' img_mask_right = 'right.jpg' img_names_left = glob(img_mask_left) img_names_right = glob(img_mask_ri...
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import os import timeit from argparse import ArgumentParser import soundfile import h5py import numpy as np import scipy from keras.models import load_model, Model from keras import layers from namelib import get_model_dir_name, get_synth_dir_name, get_testset_names from libutil import safe_makedir, load_config, wri...
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import networkx as nx # fat-tree gen function taken from Plankton source code def generate_topology(k): if k % 2 != 0: raise ValueError('"k" has to be even') G = nx.Graph() ## Nodes/Switches # G.add_nodes(range(0, (k / 2) ** 2 + k ** 2)) index = 0 core_switches = range(index, index + ...
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class tree_node: def __init__(self, val): self.val = val self.left = None self.right = None # def minimal_tree(arr): if len(arr) == 0: return None if len(arr) == 1: return tree_node(arr[0]) mid = arr.pop(len(arr)//2) root = tree_node(mid) root.left = min...
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# Copyright (C) 2002-2019 CERN for the benefit of the ATLAS collaboration from __future__ import print_function def add_ipfordg(ToolSvc, calibration_tool, BTaggingFlags, track_to_vertex_tool, track_to_vertex_ip_estimator, do_neg=False): # each tagger needs own instance, can't b...
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# 參考解答:方法二 import pandas as pd d = [ ['Austin', 139, 'Sun'], ['Dallas', 237, 'Sun'], ['Austin', 139, 'Mon'], ['Dallas', 456, 'Mon'], ] df = pd.DataFrame(d, columns=['city', 'visitor', 'weekday']) print(df) # city visitor weekday #0 Austin 139 Sun #1 Dallas 237 Sun #2 Austin ...
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# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # --------------------------------------------------------------------...
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#------------------------------------------------------------------------------ # Name: Run Model Calibrations # # Purpose: This function produces calibration statistics and exports # results for a series of model layouts. The models are all # simple linear combinations of all or ...
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import os, sys, random, time, math import numpy as np import tensorflow as tf from tensorflow.python.training.gradient_descent import GradientDescentOptimizer from tensorflow.examples.tutorials.mnist import input_data from cleverhans.attacks_tf import fgm, fgsm from build_utils import * '''==========================...
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from flask import Flask from admin.admin_count import count from apps.account.views import account from apps.db_ext import init_ext from apps.home.views import home from apps.personal.views import personal import flask_whooshalchemyplus def create_app(): app = Flask(__name__) app.config['SECRET_KEY'] = '12345...
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try: import data except: import Gdata import data d1,d2 = data.d1, data.d2 def ecut(t): r,x,y = '', 0, 2 while x < len(t): s = t[x:y] if s in d1:r +=d1[s] else:r+=s x,y = x+2, y+2 return r def dcut(r): t = '' for _ in r: if _ in d2:t+=d2[_] ...
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# ---------------------------------------------------------------------------------------------------------------------- # Name: Satish Dandayudhapani # Class: 603-02 Found. Software Dev-Python # File: dec2bin.py # [H5-13] (dec2bin.py) For 1 point, write a function dec_2_bin(dec) which returns the binary equivale...
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""" Este script carga la informacion que guarde en la etapa anterior en los archivos json """ import os import json descExt = '.json' def loadUMA(inputDir): data_details = {} for path, dname, fnames in os.walk(inputDir): for fname in fnames: if descExt in fname.lower(): ...
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class Fields(object): EMAIL = 'Email' DOI = 'Doi' FIRST_NAME = 'First Name' LAST_NAME = 'Last Name' MIT_ID = 'MIT ID' CITATION = 'Citation' PUBLISHER_NAME = 'Publisher-name' ACQ_METHOD = 'C-Method-Of-Acquisition' DLC = 'DLC' PAPER_ID = 'PaperID' MESSAGE = 'C-Publisher-Related...
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''' Created on 24 jan. 2019 @author: jvanbiervliet ''' lijst = ['een', 'twee', 'drie', 'vier'] for teller in range(0, len(lijst)): print(lijst[teller]) for teller in range(1, 10): print(teller, end=' ') if teller % 3 == 0: print() # exercises # mijn_bieb = ['The Alchemist', 'Hoe blabla', 'H...
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""" # 듣보잡 첫째 줄에 듣도 못한 사람의 수 N, 보도 못한 사람의 수 M 둘째 줄부터 N개의 줄에 걸쳐 듣도 못한 사람의 이름과, N+2째 줄부터 보도 못한 사람의 이름이 순서대로 듣보잡의 수와 그 명단을 사전순으로 출력 """ import sys input = sys.stdin.readline n, m = map(int, input().split()) listen = set() # 듣 see = set() # 보 for _ in range(n): listen.add(input().strip()) for _ in range(m): se...
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import sys my_file = sys.stdin #my_file = open("input.txt", "r") friends = int(my_file.readline().strip("\n"))+1 fingers = sum([int(i) for i in my_file.readline().split(" ")]) result = 0 for i in range(1,6): if (i+fingers)%friends!=1: result += 1 print(result)
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DEBUG = False URL = "https://vitko.info/katrinphotobot/wh/" TOKEN = "yourtokenhere" BOT_TOKEN = "yourbottokenhere"
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def client(server, port): #Create a client communicator object sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.connect((server, int(port))) #Create threads to handle sendMsg and recvMsg functions threading.Thread(target=sendMsg, args=[sock]).start() threading.Thread(target=re...
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#!/mcms/python/bin/python # For list of profiles look at RunTest.sh #*PROCESSES_PROFILE_FOR_SCRIPT=Profile_9 from McmsConnection import * #*export LICENSE_FILE="VersionCfg/Keycodes_9251aBc471_40_NO_v100.0.cfs" #------------------------------------------------------------------------------ def WaitAllOther...
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def solution(n, costs): answer = 0 costs.sort() visited = set() visited.add(costs[0][0]) for i in range(n-1): pool = [] for c in costs: if c[0] in visited or c[1] in visited: if c[0] in visited and c[1] in visited: continue ...
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import argparse import glob import os import torch import pytorch_lightning as pl from torch.utils.data import Dataset, DataLoader from torchtext.datasets import IMDB from tokenizers import Tokenizer from tokenizers.normalizers import Replace from perceiver.tokenizer import ( create_tokenizer, train_tokenizer...
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# Linear Search n = int(input("How Many Number : ")) a = int(input("Enter Your Find Number : ")) print("\n") print("Enter The Numbers : ") for i in range(n): int(input()) if a == i: print("Found") break else: print("Not Found")
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""" Simulando o formulario.html, que envia os dados via POST para formulario_pythonwebscraping1.php Utilizando o servidor PHP local na porta 8000 """ import requests params = {'nome':'Evaldo', 'email':'evaldowolkers@gmail.com', 'celular':'(28)99948-3074'} r = requests.post('http://localhost:8000/...
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import pandas as pd import cv2 import numpy as np from sklearn.model_selection import train_test_split from keras.models import Sequential from keras.layers import Flatten, Dense, Lambda, Cropping2D, Dropout from keras.layers.convolutional import Convolution2D from keras.layers.pooling import MaxPooling2D from keras.mo...
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import pytest from objectmodel import * def test_empty_instance(): class A(ObjectModel): pass obj = A() assert obj.__fields__ == {} assert obj.__state__ == {} def test_field_binding(): class A(ObjectModel): foo = Field() instance = A() assert 'foo' in A.__fields__ ...
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# echo_client.py import socket import MySQLdb import time host = '192.168.122.101' port = 2000 # The same port as used by the server s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.connect((host, port)) while True: sending_str = " /" try: db = MySQLdb.connect(host="127.0.0.1", # your host, usuall...
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# 訓練 word2vec model import re import jieba import codecs import logging from gensim.models import word2vec # 載入停用辭典 def load_stopword(): stop = [] fle = open('jieba_dict/stop_words.txt', 'r') stop = fle.read() stop = stop.splitlines() return stop # 利用jieba斷詞,產生斷詞文檔'data_seg.txt' def sen_jieba(afte...
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# vim:sw=4 ts=4 et: import dateutil.parser, pytz, datetime, os, requests, logging, json, warnings IDENTITY_ENDPOINT = 'https://identity.api.rackspacecloud.com/v2.0' #import httplib as http_client #http_client.HTTPConnection.debuglevel = 1 #logging.basicConfig() #logging.getLogger().setLevel(logging.DEBUG) #requests_...
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# -*- coding: utf-8 -*- # Generated by Django 1.11.20 on 2019-05-12 01:32 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('infoshop', '0001_initial'), ] operations = [ migrations.RenameField( m...
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# -*- coding:utf-8 -*- # author : BieFeNg # date_time 2019/12/13 10:28 # file_name : user.py import logging import csv from io import BufferedReader, StringIO from flask import (Blueprint, request) from werkzeug.utils import secure_filename from app.shard import db, BaseModel logger = logging.getLogger(__name__) ...
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#!/usr/local/bin/python #-*- coding: utf-8 -*- data = "wangxinghe" print(data[:3]) print(data[:]) print(data[1:]) print(data[3:4]) print(data[1:2]) print(data[0:1])
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''' #create a class called company D #object is an employee D #employee-employee id D, name, designation,salary,statue-{active(default),terminated,suspended} #annual hike is 10% of the og sslaryD #hike ratio is a class attribute D #fina a way to assign valuesD #at least 5 objectsD #function compute hike (self)...
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from django.shortcuts import render, HttpResponse,HttpResponse,HttpResponseRedirect, redirect from django.contrib.auth.decorators import login_required from django.contrib.auth import authenticate,login,logout from chat import models import json import time import queue import os from django.views.decorators.csrf impor...
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import sys sys.stdin = open('4866.txt', 'r') T = int(input()) for tc in range(1, T + 1): p = input() stack = [] ans = 1 for i in range(len(p)): if p[i] == '(' or p[i] == '{': stack.append(p[i]) elif p[i] == ')': if len(stack) == 0 or stack[-1] != '(': ...
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from .src.snap_src.WriteSnap import write_snap from .src.snap_src.LoadSnap import load_header, load_snap from .src.snap_src.analysis import Analysis from .src.snap_src.profile import Profile
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from PIL import Image class certification: def __init__(self, barcode, image_name): self.barcode = barcode self.image_name = image_name def five_100(self,): img1 = Image.open('500.jpg') # main image im = Image.open("8784542537122.png") ...
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// A Java program for Bellman-Ford's single source shortest path // algorithm. import java.util.*; import java.lang.*; import java.io.*; // A class to represent a connected, directed and weighted graph class Graph { // A class to represent a weighted edge in graph class Edge { int src, dest, weight; ...
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primes = list() def primeSieve(bound): bound += 1 numbers = [True] * bound for i in range(2, bound): if numbers[i]: for d in range(i * 2, bound, i): numbers[d] = False for i in range(2, bound): if numbers[i]: primes.append(i) # Program starts...
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from practicaLibAlumno import * # definir variables de entrada y salida alumnos = [] alumno = {} salir = 'no' fr = open('alumnos.csv','r') fAlumnos = fr.read() alumnos = cargarAlumnos(fAlumnos) # for a in alumnos: # print(a.nombre, a.email, a.celular) fr.close while(salir == 'no'): menuopciones() opci...
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add.py
#add two numbers withourt using arithmatic + operator a=int(input("a")) b=int(input("b")) s1=0; s2=0; if(a>b): s1=a; s2=b; else: s1=b; s2=a; i=s2; for i in range(i,m): print(i);
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__author__ = 'Brent Berghmans 1334252' import socket import time import sys class PingClient: def __init__(self, ip, port, pings): self.mIp = ip self.mPort = port self.prepareSocket() self.mPings = int(pings) #Clamp pings if pings < 1: self...
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# To change this license header, choose License Headers in Project Properties. # To change this template file, choose Tools | Templates # and open the template in the editor. __author__ = "jcarlos" __date__ = "$Oct 27, 2017 8:36:20 AM$" import sys import glib import os import conexion import gi import moduloscli fro...
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def answer(string): if len(string) == 1 : return 'safe' else: count = 0 position = -1 for i in range(len(string)): if string[i] != '.' and position == -1 : count = int(string[i]) position = i continue if stri...
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#_*_coding:utf-8_*_ import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data import os import numpy as np # 生成整数的属性 def _int64_feature(value): return tf.train.Feature(int64_list=tf.train.Int64List(value=[value])) # 生成字符串类型的属性 def _bytes_feature(value): return tf.train.Feature(bytes...
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""" correlation: -how closely related two sets of data are -http://simple.wikipedia.org/wiki/Correlation covariance: -measure of the strength of the correlation between two or more sets of random variates -positive, negative, zero -http://mathworld.wolfram.com/Covariance.html -http://stats.stackexchange.com/question...
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my_data = (11, 22, 33, 44, 55, 66, 77, 88, 99) print(my_data) # elements from 3rd to 5th # prints (33, 44, 55) print(my_data[2:5]) # elements from start to 4th # prints (11, 22, 33, 44) print(my_data[:4]) # elements from 5th to end # prints (55, 66, 77, 88, 99) print(my_data[4:]) # elements from 5th to second last ...
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#!BPY """ Name 'Oolite DAT' Blender: 263 Group: 'Export' Tooltip 'Oolite mesh exporter' """ bl_info = { "name": "Oolite (.dat)", "author": "Ben Merritt", "blender": (2,6,3), "version": (0,0,1), "location": "File > Import-Export", "description": "Exports the selected mesh to an Oolite .dat file", "category": "...
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import xml.etree.ElementTree as ET board=[] tree=ET.parse('queen.xml') root=tree.getroot() start=int(root[0].text) print("start position is:"),start size=int(root[1].text) print("Size of the board is"),size def danger(row,col): for(i,j) in board: if row==i: return True if col==j: return True if abs(row-i)==abs...
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#!/usr/bin/env python3 # _*_ coding:utf-8 _*_ """ log config created by VoidWalker in 2017.8.15 """ info_file = r"../log/infoLog.txt" error_file = r"../log/errorLog.txt" debug_file = r"../log/debugLog.txt" warning_file = r"../log/warningLog.txt" critical_file = r"../log/criticalLog.txt" log_format = r"%(asctime)s %(...
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import xlrd import xlwt import os import random import cv2 import numpy as np from PIL import Image, ImageDraw, ImageFont from multiprocessing import Pool from tqdm import tqdm from PIL.ExifTags import TAGS import exifread def get_path(root): """ :param root: 根目录的路径 :return: 最后一级文件夹的所有路径 """ path_...
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import re import logging #Lists of possible EP/val/sink possibleEp = [] possibleVal = [] possibleSink = [] #Lists of found things foundEntryPoints = [] foundValidations = [] foundSensitiveSinks = [] foundVariables = [] logger = logging.getLogger("mylog") logger.setLevel(logging.WARNING) class Slice: entryPoints...
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import logging from argparse import ArgumentParser from datetime import datetime from datamonitoring.metrics import start_metric_server from datamonitoring.processor import print_usages LOG_FORMAT = '%(asctime)s - %(name)s - %(levelname)s - %(message)s' LOGGER = logging.getLogger(__name__) def main(): try: ...
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#用类表示出链表 #建立节点node class Node(object): '''初始化''' def __init__(self,elem): self.elem=elem self.next=None #创建链表 class SingleCircleList(object): '''单链表''' def __init__(self,node=None): self._head=node if node: node.next=node#变量私有化,且头节点为空 "关于...
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class Solution: def findRepeatedDnaSequences(self, s: str) -> List[str]: i = 0 j = i + 10 length = len(s) seq = {} while j <= length: if s[i:j] in seq: seq[s[i:j]] += 1 else: seq[s[i:j]] = 1 i += 1 ...
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# http://alex-black.ru/article.php?content=117 # array (coef, pow_x, pow_y, pow_z) import copy def compare(mon_a, mon_b): for i in range(len(mon_a) - 1): if mon_a[i] != mon_b[i]: return 1 if mon_a[i] > mon_b[i] else -1 return 0 def sort(poly): poly = sorted(poly, rever...
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from flask import Flask, render_template, request,session from flask_pymongo import PyMongo from bson import json_util import json from flask.json import jsonify from bson.json_util import dumps import getRestaurants from getRestaurants import getCCData ''' Create an app config to store the connection detail...