martinbowling

function downloadDocWithImagesInZip() {
  const doc = DocumentApp.getActiveDocument();
  const docName = doc.getName();
  const docBody = doc.getBody();
  const zip = Utilities.newBlob('', 'application/zip', `${docName}.zip`).getAs('application/zip');
  let content = '';
  let imageCount = 0;
  const totalElements = docBody.getNumChildren();
  
  for (let i = 0; i < totalElements; i++) {

martinbowling

<prompt>
<html-content>
<!-- Paste the HTML content of the webpage here -->
</html-content>

Now that the HTML content of the webpage is provided above, please analyze the webpage and evaluate the following features to determine if the content is likely to be helpful based on Google's guidelines. For each feature, indicate "Yes" if the feature is present and "No" if it is not. Use the following chain of thought process for each feature:

1. Identify the specific HTML elements and attributes related to the feature within the provided HTML content.
2. Determine if the feature is present on the page based on the identified elements and attributes.

martinbowling

<prompt>
Please analyze the following 10 examples of web spam content and 10 examples of good web content:
Web Spam Examples:
<spam_example1>
[URL, title, meta description, h1, h2, h3, h4 for web spam example 1]
</spam_example1>
<spam_example2>
[URL, title, meta description, h1, h2, h3, h4 for web spam example 2]
</spam_example2>
...

martinbowling

curl -s https://gist.githubusercontent.com/martinbowling/5ad8213d17bfddc4dfb21579c92a4c05/raw/b6c7abacaec8be8e2b720ceceb0e745b6dbed5e0/fix-homebrew-perms.sh | bash

martinbowling

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());

martinbowling

function clickAccessEmailIfAvailable() {
  const tbodys = document.querySelectorAll(
    ".finder-results-list-panel-content table tbody"
  );

  for (let i = 0; i < tbodys.length; i++) {
    const tbody = tbodys[i];
    const buttons = tbody.querySelectorAll("button");
    // Create an array to store buttons with text including "Access Email"
    const filteredButtons = [];

martinbowling

import * as cheerio from "cheerio";
import fs from "graceful-fs";
import puppeteerExtra from "puppeteer-extra";
import stealthPlugin from "puppeteer-extra-plugin-stealth";
import chromium from "@sparticuz/chromium";

(async function () {
  console.log("starting");
  let term = "marketing";

martinbowling

import fetch from "node-fetch";
import fs from "graceful-fs";
import * as cheerio from "cheerio";

async function getJob(id) {
  try {
    const response = await fetch(
      `https://www.linkedin.com/jobs-guest/jobs/api/jobPosting/${id}`,
      {
//         agent: getProxyAgent(), put proxy here

martinbowling

import openai
import os

# Set up the API key
openai.api_key = "your_openai_api_key"

# Function to call GPT-3.5 Turbo API with chat completion
def generate_text(messages):
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",

martinbowling

import os
import multiprocessing
from pathlib import Path
import subprocess

# Specify the folder containing the .avi files
input_folder = Path("/path/to/avi/files")

# Create the subfolder for the converted files if it doesn't exist
converted_folder = input_folder / "converted"