name: MLX (Apple Silicon)

# GitHub-hosted `macos-latest` runners are Apple Silicon (arm64), which the MLX
# runtime requires. Scoped to optimized/mlx changes so it doesn't spend macOS
# runner minutes on unrelated PRs.
on:
  pull_request:
    paths:
      - "optimized/mlx/**"
      - ".github/workflows/mlx.yml"

jobs:
  test:
    runs-on: macos-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - name: Install MLX deps
        run: |
          python -m pip install --upgrade pip
          pip install -r optimized/mlx/requirements.txt pytest
      - name: Adapter math — all 9 LoRA/DoRA/BoRA types (weight-free)
        run: pytest optimized/mlx/scripts/test_lora_merge.py -q
      - name: Import + CLI smoke (no weights downloaded)
        working-directory: optimized/mlx
        run: |
          python -c "import mlx.core; from models.defs import lora, training, demo_mlx, latent_dataset, lora_merge, sa3_pipeline; print('core imports OK')"
          python scripts/lora_train_mlx.py --help > /dev/null
          python scripts/pre_encode_mlx.py --help > /dev/null
          echo "CLI smoke OK"