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azure-pipelines.yml
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trigger:
# start a new build for every push
batch: False
branches:
include:
- main
- maintenance/*
pr:
branches:
include:
- '*' # must quote since "*" is a YAML reserved character; we want a string
stages:
- stage: InitialTests
jobs:
# Native build is based on gcc flag `-march=native`
- job: Linux_baseline_native
pool:
vmImage: 'ubuntu-20.04'
steps:
- script: |
git submodule update --init
displayName: 'Fetch submodules'
- script: |
if ! `gcc 2>/dev/null`; then
sudo apt install gcc
fi
sudo apt install python3
sudo apt install python3-dev
# python3 has no setuptools, so install one to get us going
python3 -m pip install --user --upgrade pip 'setuptools<49.2.0'
python3 -m pip install --user -r test_requirements.txt
displayName: 'install python/requirements'
- script: |
python3 runtests.py --show-build-log --cpu-baseline=native --cpu-dispatch=none \
--debug-info --mode=full -- -rsx --junitxml=junit/test-results.xml
displayName: 'Run native baseline Build / Tests'
- task: PublishTestResults@2
condition: succeededOrFailed()
inputs:
testResultsFiles: '**/test-*.xml'
failTaskOnFailedTests: true
testRunTitle: 'Publish test results for baseline/native'
- stage: ComprehensiveTests
jobs:
- job: Lint
condition: and(succeeded(), eq(variables['Build.Reason'], 'PullRequest'))
pool:
vmImage: 'ubuntu-18.04'
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: '3.8'
addToPath: true
architecture: 'x64'
- script: >-
python -m pip install -r linter_requirements.txt
displayName: 'Install tools'
# pip 21.1 emits a pile of garbage messages to annoy users :)
# failOnStderr: true
- script: |
python tools/linter.py --branch origin/$(System.PullRequest.TargetBranch)
displayName: 'Run Lint Checks'
failOnStderr: true
- job: Linux_Python_38_32bit_full_with_asserts
pool:
vmImage: 'ubuntu-20.04'
steps:
- script: |
git submodule update --init
displayName: 'Fetch submodules'
- script: |
docker run -v $(pwd):/numpy -e CFLAGS="-msse2 -std=c99 -UNDEBUG" \
-e F77=gfortran-5 -e F90=gfortran-5 quay.io/pypa/manylinux2014_i686 \
/bin/bash -xc "cd numpy && \
/opt/python/cp38-cp38/bin/python -mvenv venv &&\
source venv/bin/activate && \
target=\$(python3 tools/openblas_support.py) && \
cp -r \$target/lib/* /usr/lib && \
cp \$target/include/* /usr/include && \
python3 -m pip install -r test_requirements.txt && \
echo CFLAGS \$CFLAGS && \
python3 -m pip install -v . && \
python3 runtests.py -n --debug-info --mode=full -- -rsx --junitxml=junit/test-results.xml && \
python3 tools/openblas_support.py --check_version"
displayName: 'Run 32-bit manylinux2010 Docker Build / Tests'
- task: PublishTestResults@2
condition: succeededOrFailed()
inputs:
testResultsFiles: '**/test-*.xml'
failTaskOnFailedTests: true
testRunTitle: 'Publish test results for Python 3.8-32 bit full Linux'
- 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-10.14'
strategy:
maxParallel: 3
matrix:
Python38:
PYTHON_VERSION: '3.8'
USE_OPENBLAS: '1'
Python38-ILP64:
PYTHON_VERSION: '3.8'
NPY_USE_BLAS_ILP64: '1'
USE_OPENBLAS: '1'
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: $(PYTHON_VERSION)
addToPath: true
architecture: 'x64'
- script: |
set -xe
[ -n "$USE_XCODE_10" ] && /bin/bash -c "sudo xcode-select -s /Applications/Xcode_10.app/Contents/Developer"
clang --version
displayName: 'report clang 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: |
set -xe
# same version of gfortran as the open-libs and numpy-wheel builds
curl -L https://github.com/MacPython/gfortran-install/raw/master/archives/gfortran-4.9.0-Mavericks.dmg -o gfortran.dmg
GFORTRAN_SHA256=$(shasum -a 256 gfortran.dmg)
KNOWN_SHA256="d2d5ca5ba8332d63bbe23a07201c4a0a5d7e09ee56f0298a96775f928c3c4b30 gfortran.dmg"
if [ "$GFORTRAN_SHA256" != "$KNOWN_SHA256" ]; then
echo sha256 mismatch
exit 1
fi
hdiutil attach -mountpoint /Volumes/gfortran gfortran.dmg
sudo installer -pkg /Volumes/gfortran/gfortran.pkg -target /
otool -L /usr/local/gfortran/lib/libgfortran.3.dylib
# Manually symlink gfortran-4.9 to plain gfortran for f2py.
# No longer needed after Feb 13 2020 as gfortran is already present
# and the attempted link errors. Keep this for future reference.
# ln -s /usr/local/bin/gfortran-4.9 /usr/local/bin/gfortran
displayName: 'make libgfortran available on mac os for openblas'
# use the pre-built openblas binary that most closely
# matches our MacOS wheel builds -- currently based
# primarily on file size / name details
- script: |
set -xe
target=$(python tools/openblas_support.py)
ls -lR $target
# manually link to appropriate system paths
cp $target/lib/lib* /usr/local/lib/
cp $target/include/* /usr/local/include/
otool -L /usr/local/lib/libopenblas*
displayName: 'install pre-built openblas'
condition: eq(variables['USE_OPENBLAS'], '1')
- script: python -m pip install --upgrade pip 'setuptools<49.2.0' wheel
displayName: 'Install tools'
- script: |
python -m pip install -r test_requirements.txt
python -m pip install vulture docutils sphinx==2.2.0 numpydoc
displayName: 'Install dependencies; some are optional to avoid test skips'
- script: /bin/bash -c "! vulture . --min-confidence 100 --exclude doc/,numpy/distutils/ | grep 'unreachable'"
displayName: 'Check for unreachable code paths in Python modules'
# prefer usage of clang over gcc proper
# to match likely scenario on many user mac machines
- script: python setup.py build -j 4 build_src --verbose-cfg install
displayName: 'Build NumPy'
env:
BLAS: None
LAPACK: None
ATLAS: None
CC: /usr/bin/clang
condition: eq(variables['USE_OPENBLAS'], '1')
- script: python setup.py build -j 4 build_ext --inplace install
displayName: 'Build NumPy without OpenBLAS and new casting'
env:
BLAS: None
LAPACK: None
ATLAS: None
CC: /usr/bin/clang
condition: eq(variables['USE_OPENBLAS'], '0')
# wait until after dev build of NumPy to pip
# install matplotlib to avoid pip install of older numpy
- script: python -m pip install matplotlib
displayName: 'Install matplotlib before refguide run'
- script: python runtests.py -g --refguide-check
displayName: 'Run Refguide Check'
condition: eq(variables['USE_OPENBLAS'], '1')
- script: python runtests.py -n --mode=full -- -rsx --junitxml=junit/test-results.xml
displayName: 'Run Full NumPy Test Suite'
condition: eq(variables['USE_OPENBLAS'], '1')
- bash: python tools/openblas_support.py --check_version
displayName: 'Verify OpenBLAS version'
condition: eq(variables['USE_OPENBLAS'], '1')
# import doesn't work when in numpy src directory , so do a pip dev install of build lib to test
- script: |
#!/bin/bash -v
set +e
python -c "import numpy as np" > test_output.log 2>&1
check_output_code=$?
cat test_output.log
grep "buggy Accelerate backend" test_output.log
check_message=$?
if [ $check_output_code == 1 ] && [ $check_message == 0 ]; then exit 0; else exit 1;fi
displayName: "Check if numpy import fails with accelerate"
condition: eq(variables['USE_OPENBLAS'], '0')
- task: PublishTestResults@2
condition: succeededOrFailed()
inputs:
testResultsFiles: '**/test-*.xml'
failTaskOnFailedTests: true
testRunTitle: 'Publish test results for Python 3.8 64-bit full Mac OS'
- job: Windows
pool:
vmImage: 'windows-latest'
strategy:
maxParallel: 6
matrix:
Python38-32bit-fast:
PYTHON_VERSION: '3.8'
PYTHON_ARCH: 'x86'
TEST_MODE: fast
BITS: 32
Python38-64bit-full:
PYTHON_VERSION: '3.8'
PYTHON_ARCH: 'x64'
TEST_MODE: full
BITS: 64
Python39-32bit-fast:
PYTHON_VERSION: '3.9'
PYTHON_ARCH: 'x86'
TEST_MODE: fast
BITS: 32
Python39-64bit-full:
PYTHON_VERSION: '3.9'
PYTHON_ARCH: 'x64'
TEST_MODE: full
BITS: 64
NPY_USE_BLAS_ILP64: '1'
PyPy38-64bit-fast:
PYTHON_VERSION: 'PyPy'
PYTHON_ARCH: 'x64'
TEST_MODE: fast
BITS: 64
NPY_USE_BLAS_ILP64: '1'
steps:
- template: azure-steps-windows.yml
- job: Linux_conda
pool:
vmImage: 'ubuntu-20.04'
steps:
- script: |
git submodule update --init
displayName: 'Fetch submodules'
- script: |
# create and activate conda environment
conda env create -f environment.yml
displayName: 'Create conda environment.'
- script: |
# >>> conda initialize >>>
# !! Contents within this block are 'conda init' !!
# see https://github.com/conda/conda/issues/7980
__conda_setup="$('conda' 'shell.bash' 'hook' 2> /dev/null)"
eval "$__conda_setup"
unset __conda_setup
# <<< conda initialize <<<
conda activate numpy-dev
# Run native baseline Build / Tests
python runtests.py --show-build-log --cpu-baseline=native --cpu-dispatch=none \
--debug-info --mode=full -- -rsx --junitxml=junit/test-results.xml
displayName: 'Run native baseline Build / Tests in conda.'
- task: PublishTestResults@2
condition: succeededOrFailed()
inputs:
testResultsFiles: '**/test-*.xml'
failTaskOnFailedTests: true
testRunTitle: 'Publish test results for conda installation'
#- job: Linux_gcc48
#pool:
## ubuntu-20.04 does not provide a gcc-4.8 package
#vmImage: 'ubuntu-18.04'
#steps:
#- script: |
#sudo apt update
#sudo apt install python3.7
#sudo apt install python3.7-dev
#if ! `gcc-4.8 2>/dev/null`; then
#sudo apt install gcc-4.8
#fi
#displayName: 'add gcc 4.8'
#- script: |
## python3 has no setuptools, so install one to get us going
#python3.7 -m pip install --user --upgrade pip 'setuptools<49.2.0'
#python3.7 -m pip install --user -r test_requirements.txt
#CPPFLAGS='' CC=gcc-4.8 F77=gfortran-5 F90=gfortran-5 \
#python3.7 runtests.py --debug-info --mode=full -- -rsx --junitxml=junit/test-results.xml
#displayName: 'Run gcc4.8 Build / Tests'
#- task: PublishTestResults@2
#condition: succeededOrFailed()
#inputs:
#testResultsFiles: '**/test-*.xml'
#failTaskOnFailedTests: true
#testRunTitle: 'Publish test results for gcc 4.8'