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azure-pipelines.yml
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azure-pipelines.yml
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# Azure Pipelines configuration file for Continuous Integration
# for building the package and running the tests under Windows.
variables:
PIP_CACHE_DIR: $(Pipeline.Workspace)/.pip
# data cache dir determined via: print(pooch.os_cache('scikit-image'))
SKIMAGE_DATA_CACHE_FOLDER: C:\Users\VssAdministrator\AppData\Local\scikit-image\scikit-image\Cache
jobs:
- job: "Default"
pool:
vmImage: "windows-latest"
strategy:
maxParallel: 10
matrix:
Python311-x64:
PYTHON_VERSION: "3.11"
ARCH: "x64"
PIP_FLAGS: ""
BUILD_DOCS: "true"
Python311-x64-pre:
PYTHON_VERSION: "3.11"
ARCH: "x64"
PIP_FLAGS: "--pre"
Python39:
PYTHON_VERSION: "3.9"
ARCH: "x64"
PIP_FLAGS: ""
Python39-x64:
PYTHON_VERSION: "3.9"
ARCH: "x64"
PIP_FLAGS: ""
TEST_EXAMPLES: "true"
# NOTE(honles): winpty is required by one of the doc dependencies,
# but does not provide a wheel for Python 3.9
# TEST_EXAMPLES: 'true'
continueOnError: false
timeoutInMinutes: 60
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: "$(PYTHON_VERSION)"
architecture: "$(ARCH)"
name: python
# https://docs.microsoft.com/en-us/azure/devops/pipelines/release/caching?view=azure-devops
- task: Cache@2
inputs:
key: '"skimage_data" | skimage/data/_registry.py'
path: $(SKIMAGE_DATA_CACHE_FOLDER)
displayName: Cache scikit-image data files
# the line below (continueOnError: true) can be removed when the following issue is addressed:
# https://github.com/scikit-image/scikit-image/issues/6048
continueOnError: true
# https://docs.microsoft.com/en-us/azure/devops/pipelines/release/caching?view=azure-devops#pythonpip
- task: Cache@2
inputs:
key: '"Python$(PYTHON_VERSION)-$(ARCH)" | "$(Agent.OS)" | requirements/build.txt | requirements/default.txt | requirements/test.txt | requirements/docs.txt'
restoreKeys: |
"Python$(PYTHON_VERSION)-$(ARCH)" | "$(Agent.OS)"
"Python$(PYTHON_VERSION)-$(ARCH)"
path: $(PIP_CACHE_DIR)
displayName: Cache pip packages
# the line below (continueOnError: true) can be removed when the following issue is addressed:
# https://github.com/scikit-image/scikit-image/issues/6048
continueOnError: true
- bash: |
set -ex
PYTHON="$(python.pythonLocation)\\python.exe"
# Update pip
$PYTHON -m pip install -U pip
# Check that we have the expected version and architecture for Python
$PYTHON --version
$PYTHON -m pip --version
$PYTHON -c "import struct; print('Void pointer width is', struct.calcsize('P') * 8)"
# print out the pip cache dir followed by the variable defined above
# to confirm that they match
$PYTHON -m pip cache dir
echo "PIP_CACHE_DIR: $PIP_CACHE_DIR"
# Install the build and runtime dependencies of the project
$PYTHON -m pip install ${PIP_FLAGS} -r requirements/build.txt
$PYTHON -m pip list
# Disable C99 complex if PyWavelets needs to be built from source.
# The compiler used will be MSVC, but C99 may be detected improperly
USE_C99_COMPLEX=0 $PYTHON -m pip install ${PIP_FLAGS} -r requirements/default.txt
$PYTHON -m pip list
displayName: "Pre-installation"
- bash: |
set -ex
PYTHON="$(python.pythonLocation)\\python.exe"
if [ "$(ARCH)" = "x86" ] ; then
export CXXFLAGS="-m32"
fi
## To list all installed packages:
choco list
# Remove other gcc compilers
## This would be the best way to uninstall, but is SLOW:
# choco uninstall llvm mingw rtools strawberryperl -x
# Remove mingw gcc
#rm /c/ProgramData/Chocolatey/bin/gcc
#rm /c/ProgramData/Chocolatey/bin/g++
#rm /c/ProgramData/Chocolatey/bin/c++
# Remove perl gcc
rm -rf /c/Strawberry
which ccache || true
which c++ || true
## Uncomment the next line, and you'll remain with only MSVC.
# rm -rf "/c/Program Files/LLVM"
## We're compiling with clang for now because MSVC 19 and
## Pythran don't play well together.
which clang || true
# Compile the package and build the wheel
$PYTHON -m build --no-isolation --skip-dependency-check --wheel
# Install the generated wheel package
ls dist
$PYTHON -m pip install ${PIP_FLAGS} --no-index --find-links dist/ scikit-image
displayName: "Installation"
- bash: |
set -ex
PYTHON="$(python.pythonLocation)\\python.exe"
# Install the test dependencies
$PYTHON -m pip install ${PIP_FLAGS} -r requirements/test.txt
$PYTHON -m pip list
# Set non-UI Matplotlib backend
cd ${AGENT_BUILDDIRECTORY} # D:\a\1
echo "backend : Agg" > matplotlibrc
displayName: "Pre-testing"
- bash: |
set -ex
PYTHON="$(python.pythonLocation)\\python.exe"
# Change the working directory in order to run the tests
# on the installed version of skimage
cd ${AGENT_BUILDDIRECTORY} # D:\a\1
# Show the info about the installed scikit-image
$PYTHON -c "import skimage; print(skimage.__path__)"
# Show the path pooch is using for the data cache
# (this should match the SKIMAGE_DATA_CACHE_FOLDER variable above)
$PYTHON -c "import pooch; print(pooch.os_cache('scikit-image'))"
echo "SKIMAGE_DATA_CACHE_FOLDER: $SKIMAGE_DATA_CACHE_FOLDER"
# Force matplotlib to use the prepared config
export MATPLOTLIBRC=${AGENT_BUILDDIRECTORY}
# Run unit tests with pytest
# We don't test docstring examples (--doctest-modules) on
# Windows due to inconsistent ndarray formatting in `numpy`.
# For more details, see https://github.com/numpy/numpy/issues/13468
export TEST_ARGS="-v --cov=skimage"
$PYTHON -m pytest ${TEST_ARGS} --pyargs skimage
displayName: "Package testing"
- bash: |
set -ex
PYTHON="$(python.pythonLocation)\\python.exe"
$PYTHON -m asv check -v -E existing
displayName: Check benchmarks
- bash: |
set -ex
export PYTHON="$(python.pythonLocation)\\python.exe"
# Install the doc dependencies
$PYTHON -m pip install ${PIP_FLAGS} -r requirements/docs.txt
$PYTHON -m pip list
# Build the documentation
choco install optipng
export SPHINXCACHE=${AGENT_BUILDDIRECTORY}/.cache/sphinx
export SPHINXOPTS=-W
make -C doc html
condition: eq(variables['BUILD_DOCS'], 'true')
displayName: "Documentation testing"
- bash: |
set -ex
PYTHON="$(python.pythonLocation)\\python.exe"
# Install the doc dependencies
$PYTHON -m pip install ${PIP_FLAGS} -r requirements/docs.txt
$PYTHON -m pip list
# Force matplotlib to use the prepared config
export MATPLOTLIBRC=${AGENT_BUILDDIRECTORY}
# Run example applications
for f in doc/examples/*/*.py; do
# Comment out any plotly.io.show() calls before running the example.
# Plotly opens a web browser, which often seemed to cause the CI to
# hang and timeout.
sed -i 's/plotly.io.show/# plotly.io.show/g' ${f}
$PYTHON -W ignore:Matplotlib:UserWarning "${f}"
if [ $? -ne 0 ]; then
exit 1
fi
done
condition: eq(variables['TEST_EXAMPLES'], 'true')
displayName: "Gallery testing"
# - bash: |
# # -- Publish the .whl artifacts
# # -- Upload the content of dist/*.whl to a public wheelhouse
# displayName: 'Further consideration'