numpycpp/.github/workflows/ci.yml at main · array2d/numpycpp · GitHub

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# CI: build and test both backends on every push/PR.
#
# Two test jobs run in parallel:
#   test-bitexact — NUMPYCPP_STD_ONLY=OFF  → must be GREEN (900/900 bit-exact)
#   test-std      — NUMPYCPP_STD_ONLY=ON   → informational only (continue-on-error)
#     std::exp/log/pow/atan2 and C++ loops are intentionally NOT bit-exact vs numpy.
#     Failures here document the precision gap — they do NOT block the build or DEB.
#
# DEB packaging: single DEB (header-only — backend is consumer's compile choice)
#   cmake .. → numpycpp-dev-<ver>-Linux.deb

name: CI

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  # ── Job 1: bit-exact backend ─────────────────────────────────────────────────
  test-bitexact:
    name: bitexact / Python ${{ matrix.python }}
    runs-on: ubuntu-latest

    strategy:
      fail-fast: false
      matrix:
        python: ["3.10", "3.11", "3.12"]

    steps:
      - uses: actions/checkout@v4

      - name: Set up Python ${{ matrix.python }}
        uses: actions/setup-python@v5
        with:
          python-version: ${{ matrix.python }}

      - name: Install Python dependencies
        run: pip install "numpy>=1.23,<2.0" pybind11 pytest cmake

      - name: Install system dependencies
        run: |
          sudo apt-get update -qq
          sudo apt-get install -y libeigen3-dev

      - name: Show numpy version
        run: python -c "import numpy; print('numpy', numpy.__version__)"

      - name: Diagnose numpy symbols
        run: |
          python diagnose_numpy.py
          grep -q avx512f /proc/cpuinfo && echo "AVX-512: present in cpuinfo" || echo "AVX-512: NOT in cpuinfo"
        working-directory: tests

      - name: Configure (bitexact)
        run: cmake -S tests -B tests/build -DCMAKE_BUILD_TYPE=Release -DNUMPYCPP_STD_ONLY=OFF

      - name: Build
        run: cmake --build tests/build -j$(nproc)

      - name: Run 900 bit-exact tests
        run: |
          cd tests
          NUMPY_VER=$(python -c "import numpy; print(numpy.__version__)")
          echo "numpy version: $NUMPY_VER"
          python -m pytest test_all.py -q --tb=short --no-header

  # ── Job 2: std / performance-first backend (informational) ───────────────────
  test-std:
    name: std / Python ${{ matrix.python }}
    runs-on: ubuntu-latest
    # std backend is intentionally NOT bit-exact vs numpy.
    # Failures are expected and informational — they do NOT block the DEB job.
    continue-on-error: true

    strategy:
      fail-fast: false
      matrix:
        python: ["3.10", "3.11", "3.12"]

    steps:
      - uses: actions/checkout@v4

      - name: Set up Python ${{ matrix.python }}
        uses: actions/setup-python@v5
        with:
          python-version: ${{ matrix.python }}

      - name: Install Python dependencies
        run: pip install "numpy>=1.23,<2.0" pybind11 pytest cmake

      - name: Install system dependencies
        run: |
          sudo apt-get update -qq
          sudo apt-get install -y libeigen3-dev

      - name: Configure (std)
        run: cmake -S tests -B tests/build_std -DCMAKE_BUILD_TYPE=Release -DNUMPYCPP_STD_ONLY=ON

      - name: Build
        run: cmake --build tests/build_std -j$(nproc)

      - name: Show numpy version
        run: python -c "import numpy; print('numpy', numpy.__version__)"

      - name: Run all 900 tests (std mode — failures expected for transcendental/linalg)
        # Run the full suite so the CI log honestly shows which tests align and
        # which do not.  std::exp/log/pow/atan2 and C++ loops differ from numpy's
        # SVML/OpenBLAS paths by 0-2 ULP — those failures are expected and documented.
        run: |
          cd tests
          NUMPY_VER=$(python -c "import numpy; print(numpy.__version__)")
          echo "numpy version: $NUMPY_VER"
          python -m pytest test_all.py -q --tb=no --no-header

  # ── Job 3: package DEB ───────────────────────────────────────────────────────
  package:
    name: Package DEB
    runs-on: ubuntu-latest
    needs: [test-bitexact]   # std failures are informational; only bitexact must pass

    steps:
      - uses: actions/checkout@v4

      - name: Build DEB
        # Header-only: both backends ship in one DEB.
        # Backend is selected by the consumer at cmake configure time
        # via -DNUMPYCPP_STD_ONLY=ON/OFF.
        run: |
          cmake -S . -B build_deb
          cmake --build build_deb --target deb
          ls build_deb/numpycpp-dev-*.deb

      - name: Upload DEB as artifact
        uses: actions/upload-artifact@v4
        with:
          name: numpycpp-dev-deb
          path: build_deb/numpycpp-dev-*.deb