azure-pipelines.yml

# Azure Pipelines configuration file for Continuous Integration
# for building the package and running the tests under Windows.

jobs:
- job: 'Default'
  pool:
    vmImage: 'vs2017-win2016'
  strategy:
    maxParallel: 10
    matrix:
      Python36:
        PYTHON_VERSION: '3.6'
        ARCH: 'x86'
        PIP_FLAGS: ''
      Python36-x64:
        PYTHON_VERSION: '3.6'
        ARCH: 'x64'
        PIP_FLAGS: ''
        BUILD_DOCS: 'true'
      Python37:
        PYTHON_VERSION: '3.7'
        ARCH: 'x86'
        PIP_FLAGS: ''
      Python37-x64:
        PYTHON_VERSION: '3.7'
        ARCH: 'x64'
        PIP_FLAGS: ''
        TEST_EXAMPLES: 'true'
      Python38:
        PYTHON_VERSION: '3.8'
        ARCH: 'x86'
        PIP_FLAGS: ''
      Python38-x64:
        PYTHON_VERSION: '3.8'
        ARCH: 'x64'
        PIP_FLAGS: ''
        TEST_EXAMPLES: 'true'
      Python37-x64-pre:
        PYTHON_VERSION: '3.7'
        ARCH: 'x64'
        PIP_FLAGS: '--pre'
  continueOnError: false
  timeoutInMinutes: 60

  steps:
  - task: UsePythonVersion@0
    inputs:
      versionSpec: '$(PYTHON_VERSION)'
      architecture: '$(ARCH)'

  - powershell: |
      Write-Host "##vso[task.setvariable variable=PATH;]${env:PYTHON};${env:PYTHON}\Scripts;${env:PATH}";
    displayName: 'Add Python paths to PATH'

  - bash: |
      set -x

      # Update pip
      python -m pip install --retries 3 -U pip setuptools

      # Check that we have the expected version and architecture for Python
      python --version
      pip --version
      python -c "import struct; print('Void pointer width is', struct.calcsize('P') * 8)"
      pip list

      # Install the build and runtime dependencies of the project
      pip install ${PIP_FLAGS} --retries 3 -r requirements/default.txt
      pip install ${PIP_FLAGS} --retries 3 -r requirements/build.txt
      pip list
    displayName: 'Pre-installation'

  - bash: |
      set -x

      # Compile the package and build the wheel
      python setup.py bdist_wheel 

      # Install the generated wheel package
      ls dist
      pip install ${PIP_FLAGS} --no-index --find-links dist/ scikit-image
    displayName: 'Installation'

  - bash: |
      set -x

      # Install the test dependencies
      pip install ${PIP_FLAGS} --retries 3 -r requirements/test.txt
      pip list

      # Set non-UI Matplotlib backend
      cd ${AGENT_BUILDDIRECTORY}  # D:\a\1
      echo "backend : Agg" > matplotlibrc
    displayName: 'Pre-testing'

  - bash: |
      set -x

      # Change the working directory in order to run the tests
      # on the installed version of skimage
      cd ${AGENT_BUILDDIRECTORY}  # D:\a\1

      # Show the info about the installed scikit-image
      python -c "import skimage; print(skimage.__path__)"

      # Force matplotlib to use the prepared config
      export MATPLOTLIBRC=${AGENT_BUILDDIRECTORY}

      # Run unit tests with pytest
      # We don't test docstring examples (--doctest-modules) on
      # Windows due to inconsistent ndarray formatting in `numpy`.
      # For more details, see https://github.com/numpy/numpy/issues/13468
      export TEST_ARGS="-v --cov=skimage"
      pytest ${TEST_ARGS} --pyargs skimage
    displayName: 'Package testing'

  - bash: |
      set -x

      # Install the doc dependencies
      pip install ${PIP_FLAGS} --retries 3 -q -r requirements/docs.txt
      pip list

      # Build the documentation
      export SPHINXCACHE=${AGENT_BUILDDIRECTORY}/.cache/sphinx
      make html
    condition: eq(variables['BUILD_DOCS'], 'true')
    displayName: 'Documentation testing'

  - bash: |
      set -x

      # Install the doc dependencies
      pip install ${PIP_FLAGS} --retries 3 -q -r requirements/docs.txt
      pip list

      # Force matplotlib to use the prepared config
      export MATPLOTLIBRC=${AGENT_BUILDDIRECTORY}

      # Run example applications
      for f in doc/examples/*/*.py; do
        python "${f}"
        if [ $? -ne 0 ]; then
          exit 1
        fi
      done
    condition: eq(variables['TEST_EXAMPLES'], 'true')
    displayName: 'Gallery testing'

#  - bash: |
#      # -- Publish the .whl artifacts
#      # -- Upload the content of dist/*.whl to a public wheelhouse
#    displayName: 'Further consideration'