k-tanaka neka-nat

How to cache slow functions with `numpy.array` as function parameter on Python

TL;DR

from numpy_lru_cache_decorator import np_cache

@np_cache()
def function(array):
 ...

Motivation

tl;dr I want to use Rust to program robots. Help me find the best core libraries to build on.

Robotic systems require high performance and reliability, but also have enormous complexity in terms of algorithms employed, number of subsystems, embedded hardware control, and other metrics. Development is mostly split between C++ for performance and safety critical components, and MatLab or Python for quick research or task iteration.

	# AWS Lambda 関数の公式コンテナイメージ https://gallery.ecr.aws/lambda/python で
	# uv https://docs.astral.sh/uv/ を使って python パッケージ管理と実行を可能にする最小限の例
	FROM public.ecr.aws/lambda/python:3.12

	# uv を公式イメージからCOPYする方法でインストールする
	# https://docs.astral.sh/uv/guides/integration/docker/#installing-uv
	COPY --from=ghcr.io/astral-sh/uv:latest /uv /bin/uv
	ENV PATH="/app/.venv/bin:$PATH"

	# AWS Lambda は書込可能なディレクトリが `/tmp` 配下だけなので uv の cache も同ディレクトリ配下を使うように変更する

	#!/bin/bash

	USER=$1
	REPO=$2

	if [ -z "$USER" -o -z "$REPO" ]; then
	echo '$1 : Github username, $2: Github repository name (only public repo)'
	exit 1
	fi
	FILENAME=star_${USER}_${REPO}

	#include <math.h>

	#include <GL/glew.h>
	#include <GL/freeglut.h>

	#include <cuda_gl_interop.h>

	#include <thrust/device_vector.h>
	#include <thrust/transform.h>
	#include <thrust/iterator/counting_iterator.h>

k-tanaka neka-nat

How to cache slow functions with numpy.array as function parameter on Python

TL;DR

Motivation

How to cache slow functions with `numpy.array` as function parameter on Python