anselm anselm

## blender_python_facial_expressions_cc4_or_rpm_to_vrm.py
## Stuff extra shape keys or morph targets or whatever we call them into vrms in blender - this file gets run from inside blender scripting
# Tip: It"s very easy to extend blender since any button click action you do is logged as the equivalent python command to the python console.

print("Copying expressions from avatar to VRM 1.0 - make sure you have the blender vrm plugin installed and an avatar loaded from RPM or CC4")

import bpy
import pprint
import time

#

## index.html
<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">

	<head>
		<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
		<title>Babylon Template</title>

		<style>
			html, body {
				overflow: hidden;

## astar_babylon3d.html
<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">

	<head>
		<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
		<title>Babylon Template</title>

		<style>
			html, body {
				overflow: hidden;

## gist:e14e3a9fecf6c1508889be8663de2d14
/*

I wanted to comment briefly on this LLM/SQL binding because (thinking about it) there are some deep ramifications for other projects. Basically - it's hugely empowering to think of LLMs as a bridge between natural language and DSLs (domain specific grammars).

As we know, everybody is talking about an "AI revolution" but it isn't always clear precisely or exactly how AI benefits organizations. We all appreciate that it can summarize, or write copy or so on, but that is more evolutionary rather than transformational.

What I now appreciate better (in toying around with this example code below) is that we as programmers have already built armatures for manipulating the world. And all we need are bridges to them. And that by itself is fairly transformational for human labor.

We've invented a ton of specialized, formal, actionable grammars that can translate what is effectively prose into actual physical actions. SQL is one example of a formal actionable grammar, but so is gcode (for driving 3d printers), an

## AgoraActorHelper.cpp
/*

Example Agora bindings to Unreal 5.02 using materials rather than UImage.

Usage:

1) AgoraActorHelper should be compiled into your project.
2) Make a material and add it to your project anywhere. Click on that material to bring up the material wire editor. Add a texture parameter called "mytexture".
3) Make a blueprint that is a subclass of AgoraActorHelper. Instance this blueprint into a test level.
4) In that blueprint view make a cube.

## gist:72906b2796c6d16621659fab00e5b25c

const fs = require("fs")
var pdf_table_extractor = require("pdf-table-extractor");
var fetch = require( 'node-fetch' );
var excel = require( 'write-excel-file/node' );

///////////////////////////////////////////////////////////////////////////////////////////////
// fetch things from net

let urlbase = "https://www.bppe.ca.gov"

## rustyv8jscallback.rs
/*

This is a quick recipe for how to have a rust application invoke a javascript method using rusty v8 and do something useful.

The rusty v8 source code does show how to do a simpler version of calling rust from javascript in their examples folder - however I wanted an example that ferried some state through javascript back to Rust. In this way javascript can be used as a scripting layer with native code having enough context and information to do real work. Probably another way to do this would be to use a global pointer.

Here are some useful links:

https://github.com/denoland/rusty_v8/blob/main/examples/hello_world.rs
https://github.com/denoland/rusty_v8/blob/main/tests/test_api.rs

## avfoundation rust webcam

// the below is a rust port of https://gist.github.com/bellbind/6954679
// capture image from webcam(e.g. face time)

// some helpful examples
// https://kyle.space/posts/cocoa-apps-in-rust-eventually/

// msg_send
// https://github.com/SSheldon/rust-objc/blob/master/examples/example.rs

## gist:33015bffe4989a6ebe20a68dbb17c499
// See the Figma https://www.figma.com/file/pzq5EhzdxXvhpBoFlB8MDd/Money-Savings-App?node-id=5%3A3
// And see the app https://glitch.com/edit/#!/web3-time-lock

pragma solidity >=0.4.22 <0.7.0;

contract FutureBank {

    address private owner;
    mapping (address => uint256) private balances;
    mapping (address => uint256) private locktime;

## simplefirebasesetup
This is a quick outline of building an web service with these constraints:

  - some kind of cloud hosting; ie; visibile anywhere on the internet, no fretting over back end unix installs
  - presents a user editable fillable form on a web page
  - saves that user supplied form data to persistent state on the server
  - signs the user supplied information with a private key
  - does some secure server side transactionally bound database actions
  - returns a result to the user

I've been using firebase lately and I'd definitely do it this way if I was asked to do a quick one off.
	## Stuff extra shape keys or morph targets or whatever we call them into vrms in blender - this file gets run from inside blender scripting
	# Tip: It"s very easy to extend blender since any button click action you do is logged as the equivalent python command to the python console.

	print("Copying expressions from avatar to VRM 1.0 - make sure you have the blender vrm plugin installed and an avatar loaded from RPM or CC4")

	import bpy
	import pprint
	import time

	#
	<!DOCTYPE html>
	<html xmlns="http://www.w3.org/1999/xhtml">

	<head>
	<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
	<title>Babylon Template</title>

	<style>
	html, body {
	overflow: hidden;
	/*

	I wanted to comment briefly on this LLM/SQL binding because (thinking about it) there are some deep ramifications for other projects. Basically - it's hugely empowering to think of LLMs as a bridge between natural language and DSLs (domain specific grammars).

	As we know, everybody is talking about an "AI revolution" but it isn't always clear precisely or exactly how AI benefits organizations. We all appreciate that it can summarize, or write copy or so on, but that is more evolutionary rather than transformational.

	What I now appreciate better (in toying around with this example code below) is that we as programmers have already built armatures for manipulating the world. And all we need are bridges to them. And that by itself is fairly transformational for human labor.

	We've invented a ton of specialized, formal, actionable grammars that can translate what is effectively prose into actual physical actions. SQL is one example of a formal actionable grammar, but so is gcode (for driving 3d printers), an
	/*

	Example Agora bindings to Unreal 5.02 using materials rather than UImage.

	Usage:

	1) AgoraActorHelper should be compiled into your project.
	2) Make a material and add it to your project anywhere. Click on that material to bring up the material wire editor. Add a texture parameter called "mytexture".
	3) Make a blueprint that is a subclass of AgoraActorHelper. Instance this blueprint into a test level.
	4) In that blueprint view make a cube.

	const fs = require("fs")
	var pdf_table_extractor = require("pdf-table-extractor");
	var fetch = require( 'node-fetch' );
	var excel = require( 'write-excel-file/node' );

	///////////////////////////////////////////////////////////////////////////////////////////////
	// fetch things from net

	let urlbase = "https://www.bppe.ca.gov"
	/*

	This is a quick recipe for how to have a rust application invoke a javascript method using rusty v8 and do something useful.

	The rusty v8 source code does show how to do a simpler version of calling rust from javascript in their examples folder - however I wanted an example that ferried some state through javascript back to Rust. In this way javascript can be used as a scripting layer with native code having enough context and information to do real work. Probably another way to do this would be to use a global pointer.

	Here are some useful links:

	https://github.com/denoland/rusty_v8/blob/main/examples/hello_world.rs
	https://github.com/denoland/rusty_v8/blob/main/tests/test_api.rs

	// the below is a rust port of https://gist.github.com/bellbind/6954679
	// capture image from webcam(e.g. face time)

	// some helpful examples
	// https://kyle.space/posts/cocoa-apps-in-rust-eventually/

	// msg_send
	// https://github.com/SSheldon/rust-objc/blob/master/examples/example.rs
	// See the Figma https://www.figma.com/file/pzq5EhzdxXvhpBoFlB8MDd/Money-Savings-App?node-id=5%3A3
	// And see the app https://glitch.com/edit/#!/web3-time-lock

	pragma solidity >=0.4.22 <0.7.0;

	contract FutureBank {

	address private owner;
	mapping (address => uint256) private balances;
	mapping (address => uint256) private locktime;
	This is a quick outline of building an web service with these constraints:

	- some kind of cloud hosting; ie; visibile anywhere on the internet, no fretting over back end unix installs
	- presents a user editable fillable form on a web page
	- saves that user supplied form data to persistent state on the server
	- signs the user supplied information with a private key
	- does some secure server side transactionally bound database actions
	- returns a result to the user

	I've been using firebase lately and I'd definitely do it this way if I was asked to do a quick one off.