Implement LSMA with Numpy #206

	name: unit tests

	on:
	push:
	branches: [ main ]
	pull_request:
	branches: [ main ]

	jobs:
	build:
	strategy:
	matrix:
	os: ["ubuntu-latest", "windows-latest", "macos-latest"]
	python-version: ['3.8', '3.9', '3.10', '3.11', 'pypy-3.8']

	runs-on: "${{ matrix.os }}"

	steps:
	- uses: actions/checkout@v4
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v2
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install flake8 pytest
	pip install -r requirements.txt
	pip install -e .
	- name: Install dependencies for backward compatibility
	run: pip install dataclasses
	if: ${{ matrix.python-version == 'pypy3' }}
	- name: Lint with flake8
	run: \|
	# stop the build if there are Python syntax errors or undefined names
	flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
	- name: Run pytest
	run: \|
	pytest

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