Angus angusdev

SplitBrowser

SplitBrowser is a resizable, multi-column mini browser bookmarklet that lets you open and navigate multiple websites side-by-side in a single tab. Each column has independent navigation and history, and URLs are tracked live for easy sharing. Ideal for sharing in Teams, comparing sites, monitoring dashboards, or running parallel tests.

⚠️ This project and README are 100% AI-GENERATED from spec.md and have not been modified by any human.
Developed using a Spec-Driven Development approach.

	import uuid
	from abc import ABC, abstractmethod
	from typing import Any, Optional

	import dash
	import flask
	from dash import Input, Output, State, dcc, html
	from dash.development.base_component import Component

	import re
	from datetime import datetime
	import pandas as pd
	import argparse

	def parse_log_files(file_names):
	job_data = {}
	job_pattern = re.compile(r'(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}) (Thread-\d+) MYJOB (started\|ended) (\d+) (.+)')

	for file_name in file_names:

	from pyspark.sql import SparkSession
	from pyspark.sql import Row

	# Initialize Spark Session
	spark = SparkSession.builder.appName("Vertical Display").getOrCreate()

	# Example DataFrame
	data = [("Alice", 25), ("Bob", 30)]
	columns = ["Name", "Age"]

	from typing import List, Dict, Any, Tuple, Optional
	from sqlalchemy import create_engine, text
	from sqlalchemy.engine import Engine, ResultProxy
	import pandas as pd
	from pyspark.sql import SparkSession, DataFrame as SparkDataFrame

	# Base class DataAccess using SQLAlchemy
	class DataAccess:
	def __init__(self, conn_str: str):
	self.engine: Engine = create_engine(conn_str)

	# apple_runner.py

	class AppleRunner:
	def run(self):
	print("Apple")

	<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16" fill="currentColor">
	<path d="M4.22 4.22a.75.75 0 0 1 1.06 0L8 6.94l2.72-2.72a.75.75 0 0 1 1.06 1.06L8.53 8.53a.75.75 0 0 1-1.06 0L4.22 5.28a.75.75 0 0 1 0-1.06zm0 4a.75.75 0 0 1 1.06 0L8 10.94l2.72-2.72a.75.75 0 1 1 1.06 1.06l-3.25 3.25a.75.75 0 0 1-1.06 0L4.22 9.28a.75.75 0 0 1 0-1.06z"/>
	</svg>

	import pandas as pd
	import requests
	from datetime import datetime, timedelta
	from databricks import sql

	class SqlWarehouseDataSource:
	def __init__(self, host: str, http_path: str, client_id: str, client_secret: str, tenant_id: str, token_expiry_threshold: int = 300):
	"""
	Initialize the SqlWarehouseDataSource class with Databricks SQL connection details.

	e=document.querySelector('#Top_half').parentNode.nextSibling;while(e.previousSibling)e.parentNode.removeChild(e.previousSibling);
	e=document.querySelector('#bodyContent');while(e.previousSibling)e.parentNode.removeChild(e.previousSibling);
	e=document.querySelector('.mw-page-container');while(e.previousSibling)e.parentNode.removeChild(e.previousSibling);
	e=document.querySelector('#mw-content-text');while(e.previousSibling)e.parentNode.removeChild(e.previousSibling);
	e=document.querySelector('.mw-content-container');while(e.previousSibling)e.parentNode.removeChild(e.previousSibling);
	e=document.querySelectorAll('#Seeds,#Seeded_players').forEach(e=>{e=e.parentNode.previousSibling;while(e.nextSibling && (!e.nextSibling.querySelector\|\|!e.nextSibling.querySelector('#Top_half')))e.parentNode.removeChild(e.nextSibling)});
	document.querySelectorAll('.mw-editsection,#catlinks,.mw-footer-container,.vector-settings').forEach(e=>e.parentNode.removeChild(e));
	document.querySelectorAll('#Section_3,#Bottom_half,#Section_7').

Angus angusdev

SplitBrowser

Features