Jonathan Hart monks1975

Agent Guidelines for Python Code Quality

This document provides guidelines for maintaining high-quality Python code. These rules MUST be followed by all AI coding agents and contributors.

Your Core Principles

All code you write MUST be fully optimized.

"Fully optimized" includes:

I am assuming you are here because like me, you installed a bazillion different python interpreters on mac and the whole thing is a spagetti. Today, I finally fixed my python installation. Whatever I install for python2 or python3 using pip JUST.WORKS.. My god! finally.

What the hell?

Here is what I had messed up, which you also probably did:

I had too many different python interpreters
Too many different symlinks which I lost track of
almost no package I installed with pip worked without a headache
any attempt to fix using online resources made it worse.

Falsehoods programmers believe about time

This is a compiled list of falsehoods programmers tend to believe about working with time.

Don't re-invent a date time library yourself. If you think you understand everything about time, you're probably doing it wrong.

Falsehoods

There are always 24 hours in a day.
February is always 28 days long.
Any 24-hour period will always begin and end in the same day (or week, or month).

	// Author: \|7eter l-\|. l3oling
	// License: MIT
	// Copyright: 2024
	// See: https://gist.github.com/pboling/f831235a1f3c5627f0341c4bbcf37ea9
	// Inspired by https://gist.github.com/RavenHursT/1dd87fb3460183b02ed1cf1dba065de8
	/*
	Usage:

	1. Add pre-requisites:

	import os
	import torch
	import time
	from diffusers import DiffusionPipeline, AutoencoderTiny
	from collections import namedtuple

	PredictionResult = namedtuple('PredictionResult', [
	'latents',
	'step',
	'steps',

	# Clone llama.cpp
	git clone https://github.com/ggerganov/llama.cpp.git
	cd llama.cpp

	# Build it
	make clean
	LLAMA_METAL=1 make

	# Download model
	export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin

	import os
	os.environ["OPENAI_API_KEY"] = ""

	from flask import Flask, Response, request
	import threading
	import queue

	from langchain.chat_models import ChatOpenAI
	from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
	from langchain.schema import AIMessage, HumanMessage, SystemMessage

	import { writable } from "svelte/store"

	const createStore = () => {

	let state = {

	}

	const { subscribe, set, update } = writable(state)

	brew install caddy mkcert nss dnsmasq

	mkcert -install

	mkcert '.app.test' '.cdn.test'

	# rename the certs and move them under /usr/local/etc/caddy/certs

	cat <<EOF > /usr/local/etc/caddy/Caddyfile
	.app.test:443, .cdn.test:443 {

	dl {
	display: grid;
	grid-template: auto / 200px 1fr;
	}
	dt, dd {
	margin: 0;
	}
	dt {
	background-color: #eee;
	}