luighifeodrippe

/* Enhancements to the Twitter Scraping Script:

This update to the script introduces a more robust mechanism for extracting detailed interaction data from tweets as they are scraped from Twitter. Previously, the script focused on collecting basic content such as the tweet's text. Now, it has been augmented to include a comprehensive extraction of interaction metrics, including replies, reposts, likes, bookmarks, and views, for each tweet.

Key Changes:

1. Improved Data Extraction:
   - The script now searches through all elements within a tweet that have an `aria-label` attribute, filtering for labels that contain key interaction terms (replies, reposts, likes, bookmarks, views). This ensures that only relevant `aria-labels` are considered for data extraction.

2. Flexible Interaction Data Parsing:

Washi1337

using System.Text;
using AsmResolver;
using AsmResolver.DotNet;
using AsmResolver.DotNet.Builder.Metadata.Blob;
using AsmResolver.DotNet.Builder.Metadata.Strings;
using AsmResolver.DotNet.Code.Cil;
using AsmResolver.DotNet.Signatures;
using AsmResolver.IO;
using AsmResolver.PE;
using AsmResolver.PE.DotNet.Builder;

dadhi

using System;
using System.Collections.Generic;
using static System.Console;

namespace Union
{
    class Program
    {
        public static void Main()
        {

fphilipe

CREATE EXTENSION btree_gist;

CREATE TABLE room_reservations (
    room_id integer,
    reserved_at timestamptz,
    reserved_until timestamptz,
    canceled boolean DEFAULT false,
    EXCLUDE USING gist (
        room_id WITH =, tstzrange(reserved_at, reserved_until) WITH &&
    ) WHERE (not canceled)

dperini

//
// Regular Expression for URL validation
//
// Author: Diego Perini
// Created: 2010/12/05
// Updated: 2018/09/12
// License: MIT
//
// Copyright (c) 2010-2018 Diego Perini (http://www.iport.it)
//