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addEventListener('fetch', (event) => { | |
event.respondWith(handleRequest(event.request)); | |
}); | |
async function handleRequest(request) { | |
const url = new URL(request.url); | |
const { pathname, search } = url; | |
var newPathname = pathname; | |
if (pathname.startsWith('/docs')) { | |
newPathname = pathname.replace('/docs', ''); |
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import { useCallback, useEffect, useRef, useState } from "react"; | |
interface UseUndoHook<T> { | |
value: T; | |
onChange: (newValue: T) => void; | |
undo: () => void; | |
redo: () => void; | |
clear: () => void; | |
canUndo: boolean; | |
canRedo: boolean; |
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import * as cheerio from "cheerio"; | |
import puppeteerExtra from "puppeteer-extra"; | |
import stealthPlugin from "puppeteer-extra-plugin-stealth"; | |
import chromium from "@sparticuz/chromium"; | |
async function searchGoogleMaps() { | |
try { | |
const start = Date.now(); | |
puppeteerExtra.use(stealthPlugin()); |
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<?php | |
//send and display response data from an api or webhook | |
add_action('wpcf7_before_send_mail', 'send_to_api_webhook', 10, 3); | |
function send_to_api_webhook($contact_form, &$abort, $submission) | |
{ | |
// replace your-subject with your form field | |
$get_input_user = $submission->get_posted_data('your-subject'); |
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import networkx as nx | |
import pandas as pd | |
def score_links(links_file, domain): | |
"""Score a network on links based on their importance and centrality. | |
links_file: Path to the file having the links (needs a "Source" and | |
"Destination" columns) e.g. ScreamingFrog's outlinks file. | |
domain: Filter all links, making sure they all point to the domain you want. | |
""" |
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<?php | |
Builder::macro('deferredPaginate', function ($perPage = null, $columns = ['*'], $pageName = 'page', $page = null) { | |
$model = $this->newModelInstance(); | |
$key = $model->getKeyName(); | |
$table = $model->getTable(); | |
$paginator = $this->clone() | |
// We don't need them for this query, they'll remain | |
// on the query that actually gets the records. |
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from bs4 import BeautifulSoup | |
import re | |
import requests | |
import heapq | |
from nltk.tokenize import sent_tokenize,word_tokenize | |
from nltk.corpus import stopwords | |
url = str(input("Paste the url"\n")) | |
num = int(input("Enter the Number of Sentence you want in the summary")) | |
num = int(num) |