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azure-pipelines.yml
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azure-pipelines.yml
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jobs:
- job: macOS
pool:
# NOTE: at time of writing, there is a danger
# that using an invalid vmIMage string for macOS
# image silently redirects to a Windows build on Azure;
# for now, use the only image name officially present in
# the docs even though i.e., numba uses another in their
# azure config for mac os -- Microsoft has indicated
# they will patch this issue
vmIMage: macOS-10.13
steps:
# the @0 refers to the (major) version of the *task* on Microsoft's
# end, not the order in the build matrix nor anything to do
# with version of Python selected
- task: UsePythonVersion@0
inputs:
versionSpec: '3.6'
addToPath: true
architecture: 'x64'
# NOTE: do we have a compelling reason to use older / newer
# versions of Xcode toolchain for testing?
- script: /bin/bash -c "sudo xcode-select -s /Applications/Xcode_10.app/Contents/Developer"
displayName: 'select Xcode version'
# NOTE: might be better if we could avoid installing
# two C compilers, but with homebrew looks like we're
# now stuck getting the full gcc toolchain instead of
# just pulling in gfortran
- script: brew install gcc
displayName: 'make gfortran available on mac os vm'
- script: python -m pip install --upgrade pip setuptools wheel
displayName: 'Install tools'
- script: python -m pip install cython nose pytz pytest pickle5
displayName: 'Install dependencies; some are optional to avoid test skips'
# NOTE: init_dgelsd failed init issue with current ACCELERATE /
# LAPACK configuration on Azure macos image; at the time of writing
# this plagues homebrew / macports NumPy builds, but we will
# circumvent for now by aggressively disabling acceleration for
# macos NumPy builds / tests; ACCELERATE=None on its own is not
# sufficient
# also, might as well prefer usage of clang over gcc proper
# to match likely scenario on many user mac machines
- script: python setup.py build -j 4 install
displayName: 'Build NumPy'
env:
BLAS: None
LAPACK: None
ATLAS: None
ACCELERATE: None
CC: /usr/bin/clang
- script: python runtests.py --mode=full -- -rsx --junitxml=junit/test-results.xml
displayName: 'Run Full NumPy Test Suite'
- task: PublishTestResults@2
inputs:
testResultsFiles: '**/test-*.xml'
testRunTitle: 'Publish test results for Python $(python.version)'
- job: Windows
pool:
vmIMage: 'VS2017-Win2016'
strategy:
maxParallel: 6
matrix:
Python36-32bit-fast:
PYTHON_VERSION: '3.6'
PYTHON_ARCH: 'x86'
TEST_MODE: fast
Python37-32bit-fast:
PYTHON_VERSION: '3.7'
PYTHON_ARCH: 'x86'
TEST_MODE: fast
Python27-64bit-fast:
PYTHON_VERSION: '2.7'
PYTHON_ARCH: 'x64'
TEST_MODE: fast
Python35-64bit-full:
PYTHON_VERSION: '3.5'
PYTHON_ARCH: 'x64'
TEST_MODE: full
Python36-64bit-full:
PYTHON_VERSION: '3.6'
PYTHON_ARCH: 'x64'
TEST_MODE: full
INSTALL_PICKLE5: 1
Python37-64bit-full:
PYTHON_VERSION: '3.7'
PYTHON_ARCH: 'x64'
TEST_MODE: full
INSTALL_PICKLE5: 1
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: $(PYTHON_VERSION)
addToPath: true
architecture: $(PYTHON_ARCH)
# as noted by numba project, currently need
# specific VC install for Python 2.7
# NOTE: had some issues splitting powershell
# command into bits and / or using condition
# directive, so squeezing operation to a single
# line for now
- powershell: if ($env:PYTHON_VERSION -eq 2.7) {$wc = New-Object net.webclient; $wc.Downloadfile("https://download.microsoft.com/download/7/9/6/796EF2E4-801B-4FC4-AB28-B59FBF6D907B/VCForPython27.msi", "VCForPython27.msi"); Start-Process "VCForPython27.msi" /qn -Wait}
displayName: 'Install VC 9.0'
- script: python -m pip install --upgrade pip setuptools wheel
displayName: 'Install tools'
- script: python -m pip install cython nose pytz pytest
displayName: 'Install dependencies; some are optional to avoid test skips'
# NOTE: for Windows builds it seems much more tractable to use runtests.py
# vs. manual setup.py and then runtests.py for testing only
- script: if [%INSTALL_PICKLE5%]==[1] python -m pip install pickle5
displayName: 'Install optional pickle5 backport (only for python3.6 and 3.7)'
- script: python runtests.py --show-build-log --mode=$(TEST_MODE) -- -rsx --junitxml=junit/test-results.xml
displayName: 'Build NumPy & Run Full NumPy Test Suite'
- task: PublishTestResults@2
inputs:
testResultsFiles: '**/test-*.xml'
testRunTitle: 'Publish test results for Python $(python.version)'