Implement `var` and `std` using a numerically stable parallel algorithm #307

	name: JAX tests

	on:
	pull_request:
	schedule:
	# Every weekday at 03:53 UTC, see https://crontab.guru/
	- cron: "53 3 * * 1-5"
	workflow_dispatch:

	concurrency:
	group: ${{ github.workflow }}-${{ github.ref }}
	cancel-in-progress: true

	jobs:
	test:
	runs-on: ${{ matrix.os }}
	strategy:
	fail-fast: false
	matrix:
	os: ["ubuntu-latest"]
	python-version: ["3.10"]

	steps:
	- name: Checkout source
	uses: actions/checkout@v3
	with:
	fetch-depth: 0

	- name: Set up Python
	uses: actions/setup-python@v3
	with:
	python-version: ${{ matrix.python-version }}
	architecture: x64

	- name: Setup Graphviz
	uses: ts-graphviz/setup-graphviz@v2

	- name: Install
	run: \|
	python -m pip install --upgrade pip
	python -m pip install -e '.[test]' 'jax[cpu]'
	python -m pip uninstall -y lithops # tests don't run on Lithops

	- name: Run tests
	run: \|
	# exclude tests that rely on structured types since JAX doesn't support these
	pytest -k "not argmax and not argmin and not mean and not std and not var and not apply_reduction and not broadcast_trick and not groupby and not object_dtype"
	env:
	CUBED_BACKEND_ARRAY_API_MODULE: jax.numpy
	JAX_ENABLE_X64: True

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