Feature/corr matrix and inverse cov matrix as input in least squares function for correlated fits #1268

	name: pytest

	on:
	push:
	branches:
	- master
	- develop
	pull_request:
	workflow_dispatch:
	schedule:
	- cron: '0 4 1 * *'

	jobs:
	pytest:
	runs-on: ${{ matrix.os }}
	strategy:
	fail-fast: false
	matrix:
	os: [ubuntu-latest]
	python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]
	include:
	- os: macos-latest
	python-version: "3.10"

	steps:
	- name: Checkout source
	uses: actions/checkout@v4

	- name: Setup python
	uses: actions/setup-python@v5
	with:
	python-version: ${{ matrix.python-version }}

	- name: Install
	run: \|
	python -m pip install --upgrade pip
	pip install wheel
	pip install .
	pip install pytest
	pip install pytest-cov
	pip install pytest-benchmark
	pip install hypothesis
	pip install py
	pip install pyarrow
	pip freeze

	- name: Run tests
	run: pytest --cov=pyerrors -vv -Werror

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