Tests

Drop Python 3.9; test on Python 3.13; drop NumPy 1.21; skip CUDA install #1150

	name: Tests
	on: [push, pull_request]
	jobs:
	tests:
	runs-on: ubuntu-latest
	strategy:
	matrix:
	include:
	- python-version: '3.10'
	numpy-version: '1.22'
	- python-version: '3.10'
	numpy-version: '1.26'
	- python-version: '3.10'
	numpy-version: 'latest'
	- python-version: '3.11'
	numpy-version: 'dev'
	- python-version: '3.12'
	numpy-version: '1.22'
	- python-version: '3.12'
	numpy-version: '1.26'
	- python-version: '3.13'
	numpy-version: 'latest'
	- python-version: '3.13'
	numpy-version: 'dev'

	fail-fast: false
	steps:
	- uses: actions/checkout@v4
	- uses: actions/setup-python@v5
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install Dependencies
	run: \|
	python -m pip install --upgrade pip
	if [ "${{ matrix.numpy-version }}" == "dev" ]; then
	python -m pip install pytest
	python -m pip install numpy --pre --extra-index-url https://pypi.anaconda.org/scientific-python-nightly-wheels/simple
	elif [ "${{ matrix.numpy-version }}" == "1.22" ]; then
	python -m pip install pytest numpy==1.22.*
	elif [ "${{ matrix.numpy-version }}" == "1.26" ]; then
	python -m pip install pytest numpy==1.26.*
	else
	# Don't pip install .[dev] as it would pull in the whole torch cuda stack
	python -m pip install \
	array-api-strict \
	dask[array] \
	jax[cpu] \
	numpy \
	pytest \
	sparse \
	ndonnx \
	python -m -pip install torch --index-url https://download.pytorch.org/whl/cpu
	fi

	- name: Test it installs
	run: python -m pip install .

	- name: Run Tests
	run: pytest -v

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