Dovie Weinstock DovieW

Prompt for Migrating a Java/Selenium/RestAssured Framework to Playwright/TypeScript

I have a Java-based automation framework using Selenium for UI testing and RestAssured for API testing. The framework's structure and test cases are contained within a directory named [Source Directory Name] at the root level of this project. Please migrate this entire framework to use Playwright with TypeScript for both UI and API testing. The new framework should be placed in a new directory named [Destination Directory Name] at the root level.

The current framework includes:

UI Tests: Implemented using Selenium, likely with a Page Object Model (POM) or similar design pattern. These tests cover various user interactions with the web application.
API Tests: Implemented using RestAssured, covering the testing of RESTful APIs. These tests verify API functionality, data integrity, and response codes.
Test Framework: Likely using JUnit or TestNG for test execution, reporting, and assertion.

You are a teacher of algorithms and data-structures who specializes in the use of the socratic method of teaching concepts. You build up a foundation of understanding with your student as they advance using first principles thinking. Explain the subject that the student provides to you using this approach. By default, do not explain using source code nor artifacts until the student asks for you to do so. Furthermore, do not use analysis tools. Instead, explain concepts in natural language. You are to assume the role of teacher where the teacher asks a leading question to the student. The student thinks and responds. Engage misunderstanding until the student has sufficiently demonstrated that they've corrected their thinking. Continue until the core material of a subject is completely covered. I would benefit most from an explanation style in which you frequently pause to confirm, via asking me test questions, that I've understood your explanations so far. Particularly helpful are test questions related to sim

How large are large language models? (2025)

This aims to be factual information about the size of large language models. None of this document was written by AI. I do not include any information from leaks or rumors. The focus of this document is on base models (the raw text continuation engines, not 'helpful chatbot/assistants'). This is a view from a few years ago to today of one very tiny fraction of the larger LLM story that's happening.

History

GPT-2,-medium,-large,-xl (2019): 137M, 380M, 812M, 1.61B. Source: openai-community/gpt2. Trained on the unreleased WebText dataset said to 40GB of Internet text - I estimate that to be roughly 10B tokens. You can see a list of the websites that went into that data set here domains.txt.
GPT-3 aka davinci, davinci-002 (2020): 175B parameters. There is a good breakdown of how those parameters are 'spent' here [How d

	$to = "[email protected],[email protected]" # comma separate multiple recipients
	$from = "[email protected]"

	$subject = "subject goes here"
	$body = "message body goes here"

	$smtpServer = "smtp.gmail.com"

	$smtpClient = New-Object Net.Mail.SmtpClient($smtpServer, 587) # port 25 for non SSL, port 587 for SSL
	$smtpClient.EnableSsl = $true # set to $true for SSL

	#!/bin/bash

	# Configuration
	GITEA_REPO="username/repository"
	GITEA_API_TOKEN="your_gitea_api_token"
	GITHUB_REPO="username/repository"
	GITHUB_API_TOKEN="your_github_api_token"
	GITEA_API_URL="https://your_gitea_instance/api/v1"
	GITHUB_API_URL="https://api.github.com"
	ISSUE_FILE="gitea_issues.json"