Implement genetic algorithm for optimizing continuous functions #22013

	name: "build"

	on:
	pull_request:
	schedule:
	- cron: "0 0 * * *" # Run everyday

	jobs:
	build:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v4
	- uses: actions/setup-python@v5
	with:
	python-version: 3.13
	allow-prereleases: true
	- uses: actions/cache@v4
	with:
	path: ~/.cache/pip
	key: ${{ runner.os }}-pip-${{ hashFiles('requirements.txt') }}
	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip setuptools wheel
	python -m pip install pytest-cov -r requirements.txt
	- name: Run tests
	# TODO: #8818 Re-enable quantum tests
	run: pytest
	--ignore=computer_vision/cnn_classification.py
	--ignore=docs/conf.py
	--ignore=dynamic_programming/k_means_clustering_tensorflow.py
	--ignore=machine_learning/lstm/lstm_prediction.py
	--ignore=neural_network/input_data.py
	--ignore=project_euler/
	--ignore=quantum/q_fourier_transform.py
	--ignore=scripts/validate_solutions.py
	--cov-report=term-missing:skip-covered
	--cov=. .
	- if: ${{ success() }}
	run: scripts/build_directory_md.py 2>&1 \| tee DIRECTORY.md

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