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azure-pipelines.yml
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azure-pipelines.yml
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trigger:
# start a new build for every push
batch: False
branches:
include:
- 'master'
- 'maint/*'
pr:
branches:
include:
- '*' # must quote since "*" is a YAML reserved character; we want a string
jobs:
- job: Style
pool:
vmImage: 'ubuntu-18.04'
variables:
PYTHON_VERSION: '3.8'
PYTHON_ARCH: 'x64'
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: $(PYTHON_VERSION)
architecture: $(PYTHON_ARCH)
addToPath: true
displayName: 'Get Python'
- bash: |
set -e
python -m pip install --upgrade pip setuptools
python -m pip install numpy scipy matplotlib -r requirements_testing.txt
displayName: Install dependencies
condition: always()
- bash: |
make flake
displayName: make flake
condition: always()
- bash: |
make pydocstyle
displayName: make pydocstyle
condition: always()
- bash: |
make codespell-error
displayName: make codespell-error
condition: always()
- bash: |
make docstring
displayName: make docstring
- bash: |
make nesting
displayName: make nesting
condition: always()
- bash: |
make check-manifest
displayName: make check-manifest
condition: always()
- bash: |
make check-readme
displayName: make check-readme
condition: always()
- job: Ultraslow
pool:
vmImage: 'ubuntu-18.04'
variables:
DISPLAY: ':99'
OPENBLAS_NUM_THREADS: '1'
steps:
- bash: |
sudo apt install libxkbcommon-x11-0 xvfb tcsh libxcb*
displayName: 'Install Ubuntu dependencies'
- bash: |
source tools/get_minimal_commands.sh
echo "##vso[task.setvariable variable=MNE_ROOT]${MNE_ROOT}"
echo "##vso[task.setvariable variable=PATH]${PATH}"
echo "##vso[task.setvariable variable=LD_LIBRARY_PATH]${LD_LIBRARY_PATH}"
echo "##vso[task.setvariable variable=NEUROMAG2FT_ROOT]${NEUROMAG2FT_ROOT}"
echo "##vso[task.setvariable variable=FREESURFER_HOME]${FREESURFER_HOME}"
echo "##vso[task.setvariable variable=MNE_SKIP_FS_FLASH_CALL]${MNE_SKIP_FS_FLASH_CALL}"
displayName: 'Install minimal commands'
- bash: |
echo $PATH
mne_surf2bem --version
fsl_rigid_register --version
displayName: 'Test minimal commands'
- task: UsePythonVersion@0
inputs:
versionSpec: '3.7'
architecture: 'x64'
addToPath: true
displayName: 'Get Python'
- bash: |
/sbin/start-stop-daemon --start --quiet --pidfile /tmp/custom_xvfb_99.pid --make-pidfile --background --exec /usr/bin/Xvfb -- :99 -screen 0 1400x900x24 -ac +extension GLX +render -noreset;
displayName: 'Spin up Xvfb'
- bash: |
set -e
python -m pip install --upgrade pip setuptools
python -m pip install --upgrade numpy scipy vtk -r requirements.txt -r requirements_testing.txt codecov
displayName: 'Install dependencies with pip'
- script: python -c "import mne; mne.datasets.testing.data_path(verbose=True)"
displayName: 'Get test data'
- script: pytest -m "ultraslowtest" --tb=short --cov=mne -vv mne
displayName: 'Run ultraslow tests'
- script: codecov --root $BUILD_REPOSITORY_LOCALPATH -t $CODECOV_TOKEN
displayName: 'Codecov'
env:
CODECOV_TOKEN: $(CODECOV_TOKEN)
condition: succeededOrFailed()
- task: PublishTestResults@2
inputs:
testResultsFiles: 'junit-*.xml'
testRunTitle: 'Publish test results for $(Agent.JobName)'
failTaskOnFailedTests: true
condition: succeededOrFailed()
- job: Notebook
pool:
vmImage: 'ubuntu-18.04'
variables:
CONDA_ENV: 'server_environment.yml'
steps:
- bash: |
set -e
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh --progress=dot:mega
bash miniconda.sh -b -p ~/miniconda
source ~/miniconda/etc/profile.d/conda.sh
conda activate base
conda env update --file $CONDA_ENV
pip uninstall -yq mne
pip install -ve .
pip install pytest pytest-cov pytest-timeout pytest-sugar pytest-xdist flake8 codecov
echo "##vso[task.setvariable variable=PATH]${PATH}"
echo "##vso[task.setvariable variable=LD_LIBRARY_PATH]${LD_LIBRARY_PATH}"
displayName: 'Install dependencies'
- 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 --tb=short --cov=mne -vv mne/viz
displayName: 'Run viz tests'
- script: codecov --root $BUILD_REPOSITORY_LOCALPATH -t $CODECOV_TOKEN
displayName: 'Codecov'
env:
CODECOV_TOKEN: $(CODECOV_TOKEN)
condition: succeededOrFailed()
- task: PublishTestResults@2
inputs:
testResultsFiles: 'junit-*.xml'
testRunTitle: 'Publish test results for $(Agent.JobName)'
failTaskOnFailedTests: true
condition: succeededOrFailed()
- job: Windows
pool:
vmImage: 'VS2017-Win2016'
variables:
MNE_LOGGING_LEVEL: 'warning'
MNE_FORCE_SERIAL: 'true'
OPENBLAS_NUM_THREADS: 1
PYTHONUNBUFFERED: 1
PYTHONIOENCODING: 'utf-8'
MKL_NUM_THREADS: 1
AZURE_CI_WINDOWS: 'true'
CONDA_VERSION: '>=4.3.27'
strategy:
maxParallel: 4
matrix:
3.7 conda:
PLATFORM: 'x86-64'
TEST_MODE: 'conda'
CONDA_ENV: 'environment.yml'
PIP_NO_UPGRADE: 'True'
PYTHON_VERSION: '3.7'
3.7 pip:
PYTHON_ARCH: 'x64'
TEST_MODE: 'pip'
PYTHON_VERSION: '3.7'
3.8 pip pre:
PYTHON_ARCH: 'x64'
TEST_MODE: 'pre-pip'
PYTHON_VERSION: '3.8'
OPENBLAS_CORETYPE: 'prescott' # workaround for https://github.com/numpy/numpy/issues/16913
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: $(PYTHON_VERSION)
architecture: $(PYTHON_ARCH)
addToPath: true
condition: in(variables['TEST_MODE'], 'pip', 'pre-pip')
displayName: 'Get Python'
- 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
python -m pip install --upgrade pip "setuptools<50.0"
python -m pip install --upgrade numpy scipy vtk
python -m pip install --upgrade -r requirements.txt -r requirements_testing.txt
python -m pip install codecov
condition: eq(variables['TEST_MODE'], 'pip')
displayName: 'Install dependencies with pip'
- bash: |
set -e
python -m pip install --upgrade pip "setuptools<50.0"
python -m pip install --upgrade --pre --only-binary ":all:" -i "https://pypi.anaconda.org/scipy-wheels-nightly/simple" "numpy<1.20.0.dev0+20200811"
python -m pip install --upgrade --pre --only-binary ":all:" -f "https://7933911d6844c6c53a7d-47bd50c35cd79bd838daf386af554a83.ssl.cf2.rackcdn.com" scipy pandas scikit-learn matplotlib h5py Pillow
python -m pip install --upgrade --only-binary vtk vtk;
python -m pip install -r requirements.txt -r requirements_testing.txt 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 --name base --file $env:CONDA_ENV
pip uninstall -yq mne
pip install -r requirements_testing.txt 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 numpy; numpy.show_config()"
displayName: Print NumPy config
- script: python -c "import mne; mne.datasets.testing.data_path(verbose=True)"
displayName: 'Get test data'
- script: pytest -m "not slowtest" --tb=short --cov=mne -vv mne
displayName: 'Run tests'
- script: codecov --root %BUILD_REPOSITORY_LOCALPATH% -t %CODECOV_TOKEN%
displayName: 'Codecov'
env:
CODECOV_TOKEN: $(CODECOV_TOKEN)
condition: succeededOrFailed()
- task: PublishTestResults@2
inputs:
testResultsFiles: 'junit-*.xml'
testRunTitle: 'Publish test results for $(Agent.JobName) $(TEST_MODE) $(PYTHON_VERSION)'
failTaskOnFailedTests: true
condition: succeededOrFailed()