azure-pipelines.yml

# Adapted from https://github.com/pandas-dev/pandas/blob/master/azure-pipelines.yml
jobs:
- job: linting
  displayName: Linting
  pool:
    vmImage: ubuntu-16.04
  steps:
    - bash: echo "##vso[task.prependpath]$CONDA/bin"
      displayName: Add conda to PATH
    - bash: sudo chown -R $USER $CONDA
      displayName: Take ownership of conda installation
    - bash: conda create --name flake8_env --yes flake8
      displayName: Install flake8
    - bash: |
        if [[ $BUILD_SOURCEVERSIONMESSAGE =~ \[lint\ skip\] ]]; then
          # skip linting
          echo "Skipping linting"
          exit 0
        else
          source activate flake8_env
          ./build_tools/circle/linting.sh
        fi
      displayName: Run linting


# Will run all the time regardless of linting outcome.
- template: build_tools/azure/posix.yml
  parameters:
    name: Linux_Runs
    vmImage: ubuntu-16.04
    matrix:
      pylatest_conda_mkl:
        DISTRIB: 'conda'
        PYTHON_VERSION: '*'
        BLAS: 'mkl'
        NUMPY_VERSION: '*'
        SCIPY_VERSION: '*'
        CYTHON_VERSION: '*'
        PILLOW_VERSION: '*'
        PYTEST_VERSION: '*'
        JOBLIB_VERSION: '*'
        COVERAGE: 'true'

- template: build_tools/azure/posix.yml
  parameters:
    name: Linux
    vmImage: ubuntu-16.04
    dependsOn: [linting]
    matrix:
      # Linux environment to test that scikit-learn can be built against
      # versions of numpy, scipy with ATLAS that comes with Ubuntu Xenial 16.04
      # i.e. numpy 1.11 and scipy 0.17
      py35_ubuntu_atlas:
        DISTRIB: 'ubuntu'
        PYTHON_VERSION: '3.5'
        JOBLIB_VERSION: '0.11'
      # Linux + Python 3.5 build with OpenBLAS and without SITE_JOBLIB
      py35_conda_openblas:
        DISTRIB: 'conda'
        PYTHON_VERSION: '3.5'
        BLAS: 'openblas'
        NUMPY_VERSION: '1.11.0'
        SCIPY_VERSION: '0.17.0'
        PANDAS_VERSION: '*'
        CYTHON_VERSION: '*'
        # temporary pin pytest due to unknown failure with pytest 5.3
        PYTEST_VERSION: '5.2'
        PILLOW_VERSION: '4.0.0'
        MATPLOTLIB_VERSION: '1.5.1'
        # later version of joblib are not packaged in conda for Python 3.5
        JOBLIB_VERSION: '0.12.3'
        COVERAGE: 'true'
      # Linux environment to test the latest available dependencies and MKL.
      # It runs tests requiring lightgbm, pandas and PyAMG.
      pylatest_pip_openblas_pandas:
        DISTRIB: 'conda-pip-latest'
        PYTHON_VERSION: '3.8'
        PYTEST_VERSION: '4.6.2'
        COVERAGE: 'true'
        CHECK_PYTEST_SOFT_DEPENDENCY: 'true'
        TEST_DOCSTRINGS: 'true'
        CHECK_WARNINGS: 'true'

- template: build_tools/azure/posix-32.yml
  parameters:
    name: Linux32
    vmImage: ubuntu-16.04
    dependsOn: [linting]
    matrix:
      py35_ubuntu_atlas_32bit:
        DISTRIB: 'ubuntu-32'
        PYTHON_VERSION: '3.5'
        JOBLIB_VERSION: '0.11'

- template: build_tools/azure/posix.yml
  parameters:
    name: macOS
    vmImage: xcode9-macos10.13
    dependsOn: [linting]
    matrix:
      pylatest_conda_mkl:
        DISTRIB: 'conda'
        PYTHON_VERSION: '*'
        BLAS: 'mkl'
        NUMPY_VERSION: '*'
        SCIPY_VERSION: '*'
        CYTHON_VERSION: '*'
        PILLOW_VERSION: '*'
        PYTEST_VERSION: '*'
        JOBLIB_VERSION: '*'
        COVERAGE: 'true'
      pylatest_conda_mkl_no_openmp:
        DISTRIB: 'conda'
        PYTHON_VERSION: '*'
        BLAS: 'mkl'
        NUMPY_VERSION: '*'
        SCIPY_VERSION: '*'
        CYTHON_VERSION: '*'
        PILLOW_VERSION: '*'
        PYTEST_VERSION: '*'
        JOBLIB_VERSION: '*'
        COVERAGE: 'true'
        SKLEARN_TEST_NO_OPENMP: 'true'
        SKLEARN_SKIP_OPENMP_TEST: 'true'

- template: build_tools/azure/windows.yml
  parameters:
    name: Windows
    vmImage: vs2017-win2016
    dependsOn: [linting]
    matrix:
      py37_conda_mkl:
        PYTHON_VERSION: '3.7'
        CHECK_WARNINGS: 'true'
        PYTHON_ARCH: '64'
        PYTEST_VERSION: '*'
        COVERAGE: 'true'
      py35_pip_openblas_32bit:
        PYTHON_VERSION: '3.5'
        PYTHON_ARCH: '32'