fix(io): only enable load with weights_only in pytorch>=2.4 #77

	name: tests

	on:
	push:
	branches:
	- main
	pull_request:
	types: [opened, synchronize, reopened]
	jobs:
	test:
	runs-on: ubuntu-latest
	strategy:
	fail-fast: false
	matrix:
	python-version: [3.9, "3.10", "3.11", "3.12"]
	uv-resolution: ["lowest-direct", "highest"]
	steps:
	- uses: actions/checkout@v4
	- name: Install uv
	uses: astral-sh/setup-uv@v3
	with:
	version: "0.4.27"
	enable-cache: true
	cache-dependency-glob: "**/pyproject.toml"
	- name: Set up Python ${{ matrix.python-version }}
	run: uv python install ${{ matrix.python-version }}
	- name: Unit tests
	run: uv run --resolution=${{ matrix.uv-resolution }} --all-extras coverage run -m pytest trainer tests
	- name: Upload coverage data
	uses: actions/upload-artifact@v4
	with:
	include-hidden-files: true
	name: coverage-data-${{ matrix.python-version }}-${{ matrix.uv-resolution }}
	path: .coverage.*
	if-no-files-found: ignore
	coverage:
	if: always()
	needs: test
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v4
	- name: Install uv
	uses: astral-sh/setup-uv@v3
	with:
	version: "0.4.27"
	- uses: actions/download-artifact@v4
	with:
	pattern: coverage-data-*
	merge-multiple: true
	- name: Combine coverage
	run: \|
	uv python install
	uvx coverage combine
	uvx coverage html --skip-covered --skip-empty
	uvx coverage report --format=markdown >> $GITHUB_STEP_SUMMARY

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