# Clean up OpenBLAS installed in system path, build
    - script: |
        git clean -xdf
        libs=$(find $obltarget/lib/* -maxdepth 1 -not -type d | xargs -n 1 basename)
        includes=$(find $obltarget/include/* -maxdepth 1 -not -type d | xargs -n 1 basename)
        for lib in $libs; do rm /usr/local/lib/$lib; done
        for include in $includes; do rm /usr/local/include/$include; done
      displayName: "Clean build for Accelerate Bug Testing"
    - script: python setup.py build -j 4 build_src --verbose-cfg install
      displayName: "Build NumPy without OpenBLAS"
      env:
        BLAS: None
        LAPACK: None
        ATLAS: None
        ACCELERATE: None
        CC: /usr/bin/clang
      # wait until after dev build of NumPy to pip
    - script: |
      set +e
      python -c "import numpy as np"
      checkoutput=$?
      if [ $checkoutput == 1 ]; then exit 0; else exit 1;fi
      displayName: "Check if numpy import fails with accelerate"

- job: macOS
    pool:
      # NOTE: at time of writing, there is a danger
      # that using an invalid vmIMage string for macOS
      # image silently redirects to a Windows build on Azure;
      # for now, use the only image name officially present in
      # the docs even though i.e., numba uses another in their
      # azure config for mac os -- Microsoft has indicated
      # they will patch this issue
      vmImage: macOS-10.14
    strategy:
      maxParallel: 3
      matrix:
          Python36:
            PYTHON_VERSION: '3.6'
            USE_OPENBLAS: '1'
          Python36-ILP64:
            PYTHON_VERSION: '3.6'
            NPY_USE_BLAS_ILP64: '1'
            USE_OPENBLAS: '1'
          Accelerate:
            PYTHON_VERSION: '3.6'
            USE_OPENBLAS: '0'

    steps:
    # the @0 refers to the (major) version of the *task* on Microsoft's
    # end, not the order in the build matrix nor anything to do
    # with version of Python selected
    - task: UsePythonVersion@0
      inputs:
        versionSpec: $(PYTHON_VERSION)
        addToPath: true
        architecture: 'x64'
    # NOTE: do we have a compelling reason to use older / newer
    # versions of Xcode toolchain for testing?
    - script: /bin/bash -c "sudo xcode-select -s /Applications/Xcode_10.app/Contents/Developer"
      displayName: 'select Xcode version'
    # NOTE: might be better if we could avoid installing
    # two C compilers, but with homebrew looks like we're
    # now stuck getting the full gcc toolchain instead of
    # just pulling in gfortran
    - script: |
        # same version of gfortran as the wheel builds
        brew install gcc49
        # manually link critical gfortran libraries
        ln -s /usr/local/Cellar/gcc@4.9/4.9.4_1/lib/gcc/4.9/libgfortran.3.dylib /usr/local/lib/libgfortran.3.dylib
        ln -s /usr/local/Cellar/gcc@4.9/4.9.4_1/lib/gcc/4.9/libquadmath.0.dylib /usr/local/lib/libquadmath.0.dylib
        # Manually symlink gfortran-4.9 to plain gfortran for f2py.
        # No longer needed after Feb 13 2020 as gfortran is already present
        # and the attempted link errors. Keep this for future reference.
        # ln -s /usr/local/bin/gfortran-4.9 /usr/local/bin/gfortran
      displayName: 'make gfortran available on mac os vm'
    # use the pre-built openblas binary that most closely
    # matches our MacOS wheel builds -- currently based
    # primarily on file size / name details
    - script: |
        python -m pip install urllib3
        target=$(python tools/openblas_support.py)
        ls -lR $target
        # manually link to appropriate system paths
        cp $target/lib/* /usr/local/lib/
        cp $target/include/* /usr/local/include/
      displayName: 'install pre-built openblas'
      condition: eq($(USE_OPENBLAS), '1')
    - script: python -m pip install --upgrade pip setuptools wheel
      displayName: 'Install tools'
    - script: |
        python -m pip install -r test_requirements.txt
        python -m pip install vulture docutils sphinx==2.2.0 numpydoc
      displayName: 'Install dependencies; some are optional to avoid test skips'
    - script: /bin/bash -c "! vulture . --min-confidence 100 --exclude doc/,numpy/distutils/ | grep 'unreachable'"
      displayName: 'Check for unreachable code paths in Python modules'
    # prefer usage of clang over gcc proper
    # to match likely scenario on many user mac machines
    - script: python setup.py build -j 4 build_src --verbose-cfg install
      displayName: 'Build NumPy'
      env:
        BLAS: None
        LAPACK: None
        ATLAS: None
        ACCELERATE: None
        CC: /usr/bin/clang
    # wait until after dev build of NumPy to pip
    # install matplotlib to avoid pip install of older numpy
    - script: python -m pip install matplotlib
      displayName: 'Install matplotlib before refguide run'
    - script: python runtests.py -g --refguide-check
      displayName: 'Run Refuide Check'
      condition: eq($(USE_OPENBLAS), '1')
    - script: python runtests.py -n --mode=full -- -rsx --junitxml=junit/test-results.xml
      displayName: 'Run Full NumPy Test Suite'
      condition: eq($USE_OPENBLAS, '1')
    - bash: python tools/openblas_support.py --check_version
      displayName: 'Verify OpenBLAS version'
      condition: eq($(USE_OPENBLAS), '1')
    - script: |
      set +e
      python -c "import numpy as np"
      checkoutput=$?
      if [ $checkout == 1 ]; then exit 0; else exit 1;fi
      displayName: "Check if numpy import fails with accelerate"
      condition: eq($(USE_OPENBLAS), '0')
    - task: PublishTestResults@2
      condition: succeededOrFailed()
      inputs:
        testResultsFiles: '**/test-*.xml'
        failTaskOnFailedTests: true
        testRunTitle: 'Publish test results for Python 3.6 64-bit full Mac OS'