avelican

## main.rs
use macroquad::prelude::*;

#[macroquad::main("BasicShapes")]
async fn main() {

    rand::srand(macroquad::miniquad::date::now() as _);

    let w = 400;
    let h = 400;

## pi.cpp
#include <stdio.h>
#include <math.h>
#include <float.h>

int main() {
    const double PI = 3.141592653589793;
    double m = 1;
    double n = 1;
    // double max_m = 10000;
    // double max_n = 10000;

## ski freeze source code - zig + wasm4
const w4 = @import("wasm4.zig");

// actual render resolution
const SCREEN_SIZE = w4.SCREEN_SIZE;

// game resolution (everything is rendered 2x)
// const SCREEN_WIDTH = 48*2;
const SCREEN_WIDTH = 96;

const SCREEN_HEIGHT = SCREEN_SIZE;

## index-variable-width.html
<!doctype html>
<html lang="en">
<head>
	<title>sprite font</title>
	<style>
		body{
			background-color: gray;
			margin: 0;
			padding: 0;
		}

## udpClient.c
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/types.h>

#ifdef _WIN32
#define WIN32_LEAN_AND_MEAN // prevent import of WinSock ? (conflict with WinSock2)
#include <windows.h> // sleep()
#define sleep(n) Sleep((n) * 1000)
#include <winsock2.h>

## gradio_chat.py
import json
import os
import openai
import tiktoken
import gradio as gr

openai.api_key = os.getenv("OPENAI_API_KEY")

USE_GPT4 = False
OPENAI_MODEL = "gpt-4" if USE_GPT4 else "gpt-3.5-turbo"

## stereo.py
# credit goes to https://github.com/synesthesiam/magicpy

# Instructions: Texture image MUST be as tall as depth map (taller should work too),
# and 1/8th of its width (or thereabouts -- any width will work but might not look too good).

from PIL import Image

if __name__ == '__main__':

    depth_file = "depth.jpg"

## gpt-async.py
# import openai

import os
import asyncio
import aiohttp

import random

OPENAI_API_KEY = os.environ['OPENAI_API_KEY']

## yt-txt.py
import sys
import subprocess

if len(sys.argv) < 2:
	print("Please provide a YouTube video URL as the first argument.")
	sys.exit(1)

video_url = sys.argv[1]

command = [

## keypoints.py
import os
import openai

prompt = "I'm a busy CEO, please summarize the following in 10-20 bullet points. Include only the most important, useful or interesting information.\n\n"
# model = 'gpt-3.5-turbo' # 'gpt-4' # moved to gpt_chat_completion since we use both
CONTEXT_SIZE = 4096 # 2048 for GPT-3 (as half the input.
# CONTEXT_SIZE = 1024 # tiny context for testing
MAX_TOKENS_IN = int(CONTEXT_SIZE*2/3)
MAX_TOKENS_OUT = CONTEXT_SIZE - MAX_TOKENS_IN
	use macroquad::prelude::*;

	#[macroquad::main("BasicShapes")]
	async fn main() {

	rand::srand(macroquad::miniquad::date::now() as _);

	let w = 400;
	let h = 400;
	#include <stdio.h>
	#include <math.h>
	#include <float.h>

	int main() {
	const double PI = 3.141592653589793;
	double m = 1;
	double n = 1;
	// double max_m = 10000;
	// double max_n = 10000;
	const w4 = @import("wasm4.zig");

	// actual render resolution
	const SCREEN_SIZE = w4.SCREEN_SIZE;

	// game resolution (everything is rendered 2x)
	// const SCREEN_WIDTH = 48*2;
	const SCREEN_WIDTH = 96;

	const SCREEN_HEIGHT = SCREEN_SIZE;
	<!doctype html>
	<html lang="en">
	<head>
	<title>sprite font</title>
	<style>
	body{
	background-color: gray;
	margin: 0;
	padding: 0;
	}
	#include <stdio.h>
	#include <stdlib.h>
	#include <string.h>
	#include <sys/types.h>

	#ifdef _WIN32
	#define WIN32_LEAN_AND_MEAN // prevent import of WinSock ? (conflict with WinSock2)
	#include <windows.h> // sleep()
	#define sleep(n) Sleep((n) * 1000)
	#include <winsock2.h>
	import json
	import os
	import openai
	import tiktoken
	import gradio as gr

	openai.api_key = os.getenv("OPENAI_API_KEY")

	USE_GPT4 = False
	OPENAI_MODEL = "gpt-4" if USE_GPT4 else "gpt-3.5-turbo"
	# credit goes to https://github.com/synesthesiam/magicpy

	# Instructions: Texture image MUST be as tall as depth map (taller should work too),
	# and 1/8th of its width (or thereabouts -- any width will work but might not look too good).

	from PIL import Image

	if __name__ == '__main__':

	depth_file = "depth.jpg"
	# import openai

	import os
	import asyncio
	import aiohttp

	import random

	OPENAI_API_KEY = os.environ['OPENAI_API_KEY']
	import sys
	import subprocess

	if len(sys.argv) < 2:
	print("Please provide a YouTube video URL as the first argument.")
	sys.exit(1)

	video_url = sys.argv[1]

	command = [
	import os
	import openai

	prompt = "I'm a busy CEO, please summarize the following in 10-20 bullet points. Include only the most important, useful or interesting information.\n\n"
	# model = 'gpt-3.5-turbo' # 'gpt-4' # moved to gpt_chat_completion since we use both
	CONTEXT_SIZE = 4096 # 2048 for GPT-3 (as half the input.
	# CONTEXT_SIZE = 1024 # tiny context for testing
	MAX_TOKENS_IN = int(CONTEXT_SIZE*2/3)
	MAX_TOKENS_OUT = CONTEXT_SIZE - MAX_TOKENS_IN