Scale and harden continuous audio acquisition pipeline #85

	name: CI
	on:
	push:
	pull_request:

	env:
	CACHE_NUMBER: 0

	jobs:
	build:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v6

	- name: Install system media libraries
	run: \|
	sudo apt-get update
	sudo apt-get install -y --no-install-recommends ffmpeg

	- uses: mamba-org/setup-micromamba@v3
	with:
	environment-name: sam-audio
	init-shell: bash
	create-args: >-
	python=3.14
	uv

	- uses: actions/cache@v5
	with:
	path: /home/runner/micromamba/envs/sam-audio
	key: ${{ hashFiles('pyproject.toml', 'pylock.toml') }}-${{ env.CACHE_NUMBER }}
	id: cache

	- name: Update environment
	shell: bash -l {0}
	run: \|
	uv pip sync pylock.toml --group dev --torch-backend cu129 --strict
	if: steps.cache.outputs.cache-hit != 'true'

	- name: Configure CUDA runtime library path
	shell: bash -l {0}
	run: \|
	echo "LD_LIBRARY_PATH=${CONDA_PREFIX}/lib/python3.14/site-packages/nvidia/cu13/lib:${LD_LIBRARY_PATH}" >> "$GITHUB_ENV"

	- name: Import smoke test
	shell: bash -l {0}
	run: \|
	python - <<'PY'
	import sam_audio
	from sam_audio import SAMAudio, SAMAudioProcessor
	from torchcodec.decoders import AudioDecoder
	from transformers import ModernBertConfig

	print("sam_audio", sam_audio.__version__ if hasattr(sam_audio, "__version__") else "imported")
	print(SAMAudio.__name__, SAMAudioProcessor.__name__, AudioDecoder.__name__, ModernBertConfig.__name__)
	PY

	- name: Check formatting
	shell: bash -l {0}
	run: \|
	ruff format --check .

	- name: Lint
	shell: bash -l {0}
	run: \|
	ruff check .

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