Speed up defect calculation using Approximate Nearest Neighbor #19

	name: CI
	# Main CI pipeline of the repository.
	#
	# Overview:
	# Lint --> test doc build -\
	# \-> test code ---> deploy docs () -> release (*)
	#
	# (*): only on push of primary branches + release tags
	# (**): only for release version tags (vX.Y.Z)

	on:
	push:
	branches: [main, dev]
	tags: ["v..*"]
	pull_request:
	types: [opened, reopened, synchronize, ready_for_review]

	jobs:

	lint:
	# run general checks that do not require installing the package
	runs-on: ubuntu-latest

	steps:
	- uses: actions/checkout@v4
	- name: Install poetry
	run: pipx install poetry
	- uses: actions/setup-python@v5
	with:
	python-version: "3.10"

	- name: Install poe, pre-commit and safety
	run: pip install poethepoet pre-commit safety

	# NOTE: using custom cache, to include pre-commit linters + deps
	- uses: actions/cache@v4
	with:
	path: \|
	~/.cache/pre-commit
	~/.cache/pip
	key: ${{ hashFiles('.pre-commit-config.yaml') }}-pre-commit

	- name: Check that all static analysis tools run without errors
	run: poetry run poe lint --all-files

	- name: Scan dependencies for known vulnerabilities
	run: safety check -r pyproject.toml

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