Windows path:
C:\Users\%USERNAME%\.claude\projects
This is a filesystem path to Claude Code Projects.
| import json | |
| import os | |
| import re | |
| import sys | |
| import time | |
| import urllib.request | |
| from playwright.sync_api import sync_playwright | |
| # --- Configuration --- | |
| HAR_FILE = "meta.har" |
| from groq import Groq | |
| #Give me list of built-in python libraries for UI that require no installation in cross-platform way | |
| # who were all characters in Serial Experiments Lain anime | |
| # what was the first version of python? | |
| # Initialize the Groq client | |
| api_key = "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" | |
| client = Groq(api_key=api_key) | |
| # User input | |
| prompt = input("Enter your statement: ") |
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Fetch and Display Image</title> | |
| <style> | |
| #avatar { | |
| max-width: 100%; | |
| height: auto; |
| import http.server | |
| import socketserver | |
| import logging | |
| PORT = 26900 | |
| REDIRECT_URL = 'steam://connect/127.0.0.1:26900' | |
| # Configure logging to log to a file | |
| logging.basicConfig(filename='server.log', level=logging.INFO, format='%(asctime)s - %(message)s') | |
| logger = logging.getLogger() |
| @ECHO OFF | |
| python -c "import sys; print(sys.executable)" | |
| PAUSE |
| import subprocess | |
| import sys | |
| def install_package(package): | |
| subprocess.check_call([sys.executable, "-m", "pip", "install", package]) | |
| def check_and_install_requests(): | |
| try: | |
| import requests | |
| print("The 'requests' library is already installed.") |
| @ECHO OFF | |
| python --version 3>NUL | |
| if errorlevel 1 winget install Python --silent --accept-package-agreements --accept-source-agreements | |
| PAUSE |
| // ==UserScript== | |
| // @name GPT-4 Button Auto Click | |
| // @match https://chat.openai.com/ | |
| // @match https://chat.openai.com/?model=text-davinci-002-render-sha | |
| // ==/UserScript== | |
| const clickFirstDivInsideButton = () => { | |
| let buttonNode = document.evaluate("//button[contains(., 'GPT-4')]", document, null, XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue; | |
| if (buttonNode) { | |
| let firstDivInsideButton = buttonNode.querySelector('div'); |
| ` ` |