Implement utils function to approximate hessian matrix in a given point #31

	name: Test Python package

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

	jobs:

	test:

	runs-on: ${{ matrix.os }}
	strategy:
	fail-fast: false
	matrix:
	os: [ubuntu-latest, macos-latest, windows-latest]
	python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]
	steps:
	- name: Checkout repository
	uses: actions/checkout@v4

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

	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	python -m pip install --upgrade .
	python -m pip install --upgrade -r requirements-dev.txt

	- name: Lint with black
	run: python -m black --config pyproject.toml .

	- name: Test with pytest
	run: python -m pytest --cov=qunfold .

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