cache.yml

name: Build Cache [using jupyter-book]
on:
  schedule:
    # Execute cache weekly at 3am on Monday
    - cron:  '0 3 * * 1'
  workflow_dispatch:
jobs:
  cache:
    runs-on: "runs-on=${{ github.run_id }}/family=g4dn.2xlarge/image=quantecon_ubuntu2404/volume=80gb/spot=false"
    steps:
      - uses: actions/checkout@v7
      - name: Setup Anaconda
        uses: conda-incubator/setup-miniconda@v4
        with:
          auto-update-conda: true
          auto-activate-base: true
          miniconda-version: 'latest'
          python-version: "3.13"
          environment-file: environment.yml
          activate-environment: quantecon
      - name: Install JAX and Numpyro
        shell: bash -l {0}
        run: |
          # Pinned: jax 0.11.1 (2026-08-17) hangs numpy_vs_numba_vs_jax's
          # lax.fori_loop cells -- they jit with device=cpu, so the CPU-path
          # regression bites even on these GPU runners. Context is recorded in
          # QuantEcon/workspace-lectures#49. With jax already present, the
          # lecture's unpinned `!pip install quantecon jax` cell is satisfied
          # and does not upgrade.
          pip install "jax[cuda13]==0.11.0"
          pip install numpyro
          python scripts/test-jax-install.py
      - name: Check nvidia drivers
        shell: bash -l {0}
        run: |
          nvidia-smi
      - name: Build HTML
        shell: bash -l {0}
        run: |
          jb build lectures --path-output ./ -W --keep-going
      - name: Upload Execution Reports
        uses: actions/upload-artifact@v7
        if: failure()
        with:
          name: execution-reports
          path: _build/html/reports
      - name: Upload "_build" folder (cache)
        uses: actions/upload-artifact@v7
        with:
          name: build-cache
          path: _build
          include-hidden-files: true