azure-pipelines.yml

trigger:
  # start a new build for every push
  batch: False
  branches:
    include:
      - master
      - maint/*

jobs:

- job: Style
  pool:
    vmImage: 'ubuntu-18.04'
  strategy:
    matrix:
      Python37-64bit-fast:
        PYTHON_VERSION: '3.7'
        PYTHON_ARCH: 'x64'
  steps:
  - task: UsePythonVersion@0
    inputs:
      versionSpec: $(PYTHON_VERSION)
      architecture: $(PYTHON_ARCH)
      addToPath: true
  - bash: |
      python -m pip install --upgrade pip setuptools
      python -m pip install numpy scipy matplotlib sphinx pytest pytest-cov pytest-timeout pytest-sugar flake8
    displayName: Install dependencies
    condition: always()
  - bash: |
      make flake
    displayName: make flake
    condition: always()
  - bash: |
      pip install pydocstyle
    displayName: Install pydocstyle
    condition: always()
  - bash: |
      make pydocstyle
    displayName: make pydocstyle
    condition: always()
  - bash: |
      pip install codespell
    displayName: Install codespell
    condition: always()
  - bash: |
      make codespell-error
    displayName: make codespell-error
    condition: always()
  - bash: |
      pip install https://api.github.com/repos/numpy/numpydoc/zipball/master pytest pytest-cov pytest-timeout pytest-sugar
    displayName: Install NumpyDoc validation
    condition: always()
  - bash: |
      make docstring
    displayName: make docstring
  - bash: |
      make nesting
    displayName: make nesting
    condition: always()
  - bash: |
      pip install check-manifest
    displayName: Install manifest checker
    condition: always()
  - bash: |
      make check-manifest
    displayName: make check-manifest
    condition: always()
  - bash: |
      pip install twine wheel
    displayName: Install twine
    condition: always()
  - bash: |
      make check-readme
    displayName: make check-readme
    condition: always()

- job: Windows
  pool:
    vmImage: 'VS2017-Win2016'
  variables:
    MNE_LOGGING_LEVEL: 'warning'
    MNE_FORCE_SERIAL: 'true'
    OPENBLAS_NUM_THREADS: 1
    AZURE_CI_WINDOWS: 'true'
    CONDA_VERSION: '>=4.3.27'
  strategy:
    maxParallel: 4
    matrix:
      # Eventually we should test x86 (32-bit), but it was a nightmare
      # to get it to download 32-bit Anaconda properly, and VTK does not ship
      # 32-bit Windows binaries via pip.
      Python37-64bit-full-conda:
        PLATFORM: 'x86-64'
        TEST_MODE: 'conda'
        CONDA_ENV: 'environment.yml'
        PIP_NO_UPGRADE: 'True'
        PYTHON_VERSION: '3.7'
      Python37-64bit-full-pip:
        PYTHON_ARCH: 'x64'
        TEST_MODE: 'pip'
        PYTHON_VERSION: '3.7'
      Python38-64bit-pre-pip:
        PYTHON_ARCH: 'x64'
        TEST_MODE: 'pre-pip'
        PYTHON_VERSION: '3.8'
  steps:
  - task: UsePythonVersion@0
    inputs:
      versionSpec: $(PYTHON_VERSION)
      architecture: $(PYTHON_ARCH)
      addToPath: true
    condition: in(variables['TEST_MODE'], 'pip', 'pre-pip')
  - bash: |
      set -e
      git clone --depth 1 git://github.com/pyvista/gl-ci-helpers.git
      powershell gl-ci-helpers/appveyor/install_opengl.ps1
    displayName: Install OpenGL
  - bash: |
      set -e
      pip install --upgrade numpy scipy vtk
      pip install --upgrade -r requirements.txt
      pip install codecov
    condition: eq(variables['TEST_MODE'], 'pip')
    displayName: 'Install dependencies with pip'
  # VTK does not have wheels (scheduled Q1 2020):
  # https://github.com/KitwareMedical/VTKPythonPackage/issues/39
  # Missing: vtk, mayavi, PySurfer, pyvista, numexpr, python-picard, numba, dipy, statsmodels (doesn't work on pre as of 2019/12/04)
  - bash: |
      set -e
      python -m pip install --upgrade pip setuptools
      python -m pip install --upgrade --pre --only-binary ":all:" -f "https://7933911d6844c6c53a7d-47bd50c35cd79bd838daf386af554a83.ssl.cf2.rackcdn.com" numpy scipy scikit-learn matplotlib h5py pandas Pillow
      python -m pip install --upgrade nilearn pyqt5 pyqt5-sip nibabel pytest pytest-cov pytest-faulthandler pytest-mock pytest-sugar pytest-timeout joblib psutil https://api.github.com/repos/numpy/numpydoc/zipball/master neo xlrd codecov
      python -m pip install codecov
    condition: eq(variables['TEST_MODE'], 'pre-pip')
    displayName: 'Install dependencies with pip --pre'
  - powershell: |
      Set-StrictMode -Version Latest
      $ErrorActionPreference = "Stop"
      $PSDefaultParameterValues['*:ErrorAction']='Stop'
      $env:PYTHON = '$(System.DefaultWorkingDirectory)' + '\conda'
      git clone git://github.com/astropy/ci-helpers.git
      powershell ci-helpers/appveyor/install-miniconda.ps1
      $env:PATH = $env:PYTHON + ";" + $env:PYTHON + "\Scripts;" + $env:PYTHON + "\Library\bin;" + $env:PATH
      conda env list
      conda install numpy scipy matplotlib scikit-learn
      conda env update --file $env:CONDA_ENV
      pip uninstall -yq mne
      pip install codecov
      Write-Host ("##vso[task.setvariable variable=PATH]" + $env:PATH)
    condition: eq(variables['TEST_MODE'], 'conda')
    displayName: 'Install dependencies with conda'
  - script: python setup.py develop
    displayName: 'Install MNE-Python dev'
  - script: mne sys_info
    displayName: 'Print config and test access to commands'
  - script: python -c "import mne; mne.datasets.testing.data_path(verbose=True)"
    displayName: 'Get test data'
  - script: pytest -m "not ultraslowtest" --tb=short --cov=mne mne
    displayName: 'Run tests'
  - script: codecov --root %BUILD_REPOSITORY_LOCALPATH% -t %CODECOV_TOKEN%
    displayName: 'Codecov'
    env:
      CODECOV_TOKEN: $(CODECOV_TOKEN)
    condition: always()
  - task: PublishTestResults@2
    inputs:
      testResultsFiles: 'junit-*.xml'
      testRunTitle: 'Publish test results for Python $(python.version)'
    condition: always()