ficapy ficapy

Making MLX Go Fast

This guide assumes you have some familiarity with MLX and want to make your MLX model or algorithm as efficient as possible.

The guide covers the following:

Graph Evaluation
Type Promotion
Operations

Introduction

A JSON compilation database is a very handy output format which is parsed and used by many development tools. Unfortunately for us Apple Developers, it is not straightforward to generate one from within Xcode, as it is (probably) not Apple's priority and therefore there is no toggle/switch/setting that can be easily enabled to get this information.

There is however a solution, thanks to Apple using Clang/LLVM as their main toolchain.

Implementation

The standard way to generate this with clang would be to use the -MJ flag and give it a file name that typically corresponds to the input file. Using this flag indirectly through Xcode is hard, given that we're not aware of all the other arguments when a compiler call is executed.

However, there is a second hidden/badly documented LLVM flag: -gen-cdb-fragment-path - it is implemented in terms of -MJ and has the same functionality, but it's argument in contrast is an output directory.

set -e, -u, -o, -x pipefail

The set lines

These lines deliberately cause your script to fail. Wait, what? Believe me, this is a good thing.
With these settings, certain common errors will cause the script to immediately fail, explicitly and loudly. Otherwise, you can get hidden bugs that are discovered only when they blow up in production.

set -euxo pipefail is short for:

set -e
set -u

Pure ESM package

The package that linked you here is now pure ESM. It cannot be require()'d from CommonJS.

This means you have the following choices:

Use ESM yourself. (preferred)
Use import foo from 'foo' instead of const foo = require('foo') to import the package. You also need to put "type": "module" in your package.json and more. Follow the below guide.
If the package is used in an async context, you could use await import(…) from CommonJS instead of require(…).
Stay on the existing version of the package until you can move to ESM.

For more background, see https://alan.ivey.dev/posts/2020/creating-an-ami-for-arm/.

Install Packer 1.5 or higher (template developed against v1.5.6). Ensure you have appropriate permissions for creating AMIs with Packer and Packer can access in your shell environment.

Build:

packer build centos8.pkr.hcl

Deploy k3s cluster on Vultr with RancherOS over ZeroTier network

How to deploy K3S cluster on RancherOS nodes connected via a Zerotier network.

Deploy master node

1. Update the master-deploy.sh with deployment vars

Getting started with Java development on macOS

Install multiple Java versions

To start, list current installed Java versions:

/usr/libexec/java_home -verbose

	This page describes how to install, setup and configure all the necessary software to operate your own tile server. These step-by-step instructions were written for Ubuntu Linux 20.04 LTS (Focal Fossa), and were tested in May 2020.

	Software installation
	The OSM tile server stack is a collection of programs and libraries that work together to create a tile server. As so often with OpenStreetMap, there are many ways to achieve this goal and nearly all of the components have alternatives that have various specific advantages and disadvantages. This tutorial describes the most standard version that is similar to that used on the main OpenStreetMap.org tile servers.

	It consists of 5 main components: mod_tile, renderd, mapnik, osm2pgsql and a postgresql/postgis database. Mod_tile is an apache module that serves cached tiles and decides which tiles need re-rendering - either because they are not yet cached or because they are outdated. Renderd provides a priority queueing system for different sorts of requests to

	""" Use Apple's Vision Framework via PyObjC to detect text in images

	To use:

	python3 -m pip install pyobjc-core pyobjc-framework-Quartz pyobjc-framework-Vision wurlitzer

	"""

	import pathlib

	use std::str;

	fn main() {
	// -- FROM: vec of chars --
	let src1: Vec<char> = vec!['j','{','"','i','m','m','y','"','}'];
	// to String
	let string1: String = src1.iter().collect::<String>();
	// to str
	let str1: &str = &src1.iter().collect::<String>();
	// to vec of byte