Use tensorboard on demand #17

	---
	name: "CI"

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

	jobs:
	build:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v4
	with:
	fetch-depth: 2

	# https://github.com/actions/setup-python/blob/main/docs/advanced-usage.md#caching-packages
	- name: Install poetry
	run: pipx install poetry
	- name: Setup Python
	uses: actions/setup-python@v5
	with:
	python-version: "3.11"
	cache: poetry

	- name: Install dependencies
	run: poetry install

	# https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python#using-ruff-to-lint-code
	- name: Ruff
	run: poetry run ruff check --output-format=github .
	continue-on-error: true

	- name: Mypy
	run: poetry run mypy .

	# https://github.com/codecov/example-python
	- name: Pytest
	run: poetry run pytest --cov=src --cov-report=xml

	- name: Compile Vertex Pipeline
	run: poetry run python -m src.ainu_lm_pipeline.compile

	- name: Codecov
	uses: codecov/codecov-action@v3
	with:
	token: ${{ secrets.CODECOV_TOKEN }}

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