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azure-pipelines.yml
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azure-pipelines.yml
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# Adapted from https://github.com/pandas-dev/pandas/blob/master/azure-pipelines.yml
jobs:
- template: build_tools/azure/posix.yml
parameters:
name: Linux
vmImage: ubuntu-16.04
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_np_atlas:
DISTRIB: 'ubuntu'
PYTHON_VERSION: '3.5'
JOBLIB_VERSION: '0.11'
SKLEARN_NO_OPENMP: 'True'
# Linux + Python 3.5 build with OpenBLAS and without SITE_JOBLIB
py35_conda_openblas:
DISTRIB: 'conda'
PYTHON_VERSION: '3.5'
INSTALL_MKL: 'false'
NUMPY_VERSION: '1.11.0'
SCIPY_VERSION: '0.17.0'
CYTHON_VERSION: '*'
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 pandas and PyAMG.
pylatest_conda:
DISTRIB: 'conda'
PYTHON_VERSION: '*'
INSTALL_MKL: 'true'
NUMPY_VERSION: '*'
SCIPY_VERSION: '*'
PANDAS_VERSION: '*'
CYTHON_VERSION: '*'
PYAMG_VERSION: '*'
PILLOW_VERSION: '*'
JOBLIB_VERSION: '*'
MATPLOTLIB_VERSION: '*'
COVERAGE: 'true'
CHECK_PYTEST_SOFT_DEPENDENCY: 'true'
TEST_DOCSTRINGS: 'true'
CHECK_WARNINGS: 'true'
- template: build_tools/azure/posix.yml
parameters:
name: macOS
vmImage: xcode9-macos10.13
matrix:
pylatest_conda:
DISTRIB: 'conda'
PYTHON_VERSION: '*'
INSTALL_MKL: 'true'
NUMPY_VERSION: '*'
SCIPY_VERSION: '*'
CYTHON_VERSION: '*'
PILLOW_VERSION: '*'
JOBLIB_VERSION: '*'
COVERAGE: 'true'
- template: build_tools/azure/windows.yml
parameters:
name: Windows
vmImage: vs2017-win2016
matrix:
py37_64:
PYTHON_VERSION: '3.7'
CHECK_WARNINGS: 'true'
PYTHON_ARCH: '64'
COVERAGE: 'true'
py35_32:
PYTHON_VERSION: '3.5'
PYTHON_ARCH: '32'