John Christian Domingo JohnChristianD

tl;dr

Numba is a "just in time" (jit) compiler for python. It is designed to optimize floating point operations and loops which makes it ideal for scientific code. The simplest way to use it is to decorate you function as shown below, which instructs Numba to compile the function into fast machine code the first time it is called.

from numba import jit

@jit(nopython=True)
def dotproduct(v1, v2):
	isum = 0.0

	// LICENSE
	// =======
	// Copyright (c) 2017-2019 Advanced Micro Devices, Inc. All rights reserved.
	// -------
	// Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation
	// files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy,
	// modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the
	// Software is furnished to do so, subject to the following conditions:
	// -------
	// The above copyright notice and this permission notice shall be included in all copies or substantial portions of the

	// Copyright (c) 2021 Advanced Micro Devices, Inc. All rights reserved.
	//
	// Permission is hereby granted, free of charge, to any person obtaining a copy
	// of this software and associated documentation files (the "Software"), to deal
	// in the Software without restriction, including without limitation the rights
	// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	// copies of the Software, and to permit persons to whom the Software is
	// furnished to do so, subject to the following conditions:
	//
	// The above copyright notice and this permission notice shall be included in

	const multiplyMatrices = (A, B) => {
	return [
	A[0]B[0] + A[1]B[1] + A[2]*B[2],
	A[3]B[0] + A[4]B[1] + A[5]*B[2],
	A[6]B[0] + A[7]B[1] + A[8]*B[2]
	];
	}

	const oklch2oklab = ([l, c, h]) => [
	l,