Implement machine learning workflow #1581

	name: "Lint Code"

	on:
	push:
	branches:
	- "main"
	pull_request:
	branches:
	- '*'

	concurrency:
	group: linting-${{ github.ref }}
	cancel-in-progress: true

	jobs:
	# Determine if tests should be run based on commit message.
	check_skip:
	runs-on: ubuntu-latest
	outputs:
	skip: ${{ steps.result_step.outputs.ci-skip }}
	steps:
	- uses: actions/checkout@v2
	with:
	fetch-depth: 0
	- id: result_step
	uses: mstachniuk/ci-skip@master
	with:
	commit-filter: '[skip ci];[ci skip];[skip github]'
	commit-filter-separator: ';'

	style_check:
	needs: check_skip
	if: ${{ needs.check_skip.outputs.skip == 'false' }}
	runs-on: "ubuntu-latest"
	strategy:
	fail-fast: false
	matrix:
	os: ["ubuntu-latest"]
	python-version: ["3.13"]
	name: Style check
	defaults:
	run:
	shell: bash
	steps:
	- uses: actions/checkout@v2
	- name: 'Set up python'
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: 'Install NiMARE'
	shell: bash {0}
	run: pip install -e .[tests]
	- name: 'Run linter'
	shell: bash {0}
	run: make lint

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