Add sklearn refs #675

	name: 'linux / conda'
	concurrency:
	group: ${{ github.workflow }}-${{ github.event.number }}-${{ github.event.ref }}
	cancel-in-progress: true
	on:
	push:
	branches:
	- '*'
	pull_request:
	branches:
	- '*'

	jobs:
	# Linux
	job:
	timeout-minutes: 90
	name: 'py3.10'
	runs-on: ubuntu-20.04
	defaults:
	run:
	shell: bash -el {0}
	env:
	MNE_LOGGING_LEVEL: 'warning'
	MKL_NUM_THREADS: '1'
	PYTHONUNBUFFERED: '1'
	PYTHON_VERSION: '3.10'
	steps:
	- uses: actions/checkout@v4
	- uses: pyvista/setup-headless-display-action@main
	with:
	qt: true
	pyvista: false
	- uses: mamba-org/setup-micromamba@v1
	with:
	environment-file: environment.yml
	create-args: >- # beware the >- instead of \|, we don't split on newlines but on spaces
	python=${{ env.PYTHON_VERSION }}
	- run: \|
	curl https://raw.githubusercontent.com/mne-tools/mne-python/main/tools/get_minimal_commands.sh -o get_minimal_commands.sh
	chmod +x get_minimal_commands.sh
	source ./get_minimal_commands.sh
	pip install .[test]
	name: 'Install dependencies'
	- run: pip install git+https://github.com/mne-tools/mne-python@main
	- run: pip install -e .
	- run: \|
	which mne
	mne sys_info -pd
	python -c "import numpy; numpy.show_config()"
	name: 'Show infos'
	- name: Run pytest
	run: python -m pytest . --cov=mne_connectivity --cov-report=xml --cov-config=pyproject.toml --verbose --ignore mne-python
	- uses: codecov/codecov-action@v4

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