Use precalculated bounding boxes of image-features to speed up image feature query #700

	name: '[test] coverage'

	on:
	pull_request:
	branches:
	- main

	concurrency:
	group: ${{ github.workflow }}-${{ github.event.pull_request.number \|\| github.ref }}
	cancel-in-progress: true

	jobs:
	coverage:
	runs-on: ubuntu-latest

	env:
	FOO: BAR
	# KEYCLOAK_CLIENT_ID: ${{ secrets.KEYCLOAK_CLIENT_ID }}
	# KEYCLOAK_CLIENT_SECRET: ${{ secrets.KEYCLOAK_CLIENT_SECRET }}
	steps:
	- uses: actions/checkout@v4
	- name: Set up Python 3.7
	uses: actions/setup-python@v4
	with:
	python-version: 3.7
	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	python -m pip install -U .
	pip install -r requirements-test.txt
	if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
	- name: Generate coverage
	run: \|
	pytest --cov=siibra --cov-report=xml
	- name: Upload coverage report to codecov
	uses: codecov/codecov-action@v3
	with:
	fail_ci_if_error: true # optional (default = false)
	verbose: true # optional (default = false)

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