82 lines
2.9 KiB
YAML
82 lines
2.9 KiB
YAML
# AppVeyor.com is a Continuous Integration service to build and run tests under
|
|
# Windows
|
|
environment:
|
|
matrix:
|
|
- PYTHON: C:\Python37
|
|
- PYTHON: C:\Python37-x64
|
|
- PYTHON: C:\Python38
|
|
- PYTHON: C:\Python38-x64
|
|
- APPVEYOR_BUILD_WORKER_IMAGE: Visual Studio 2019
|
|
PYTHON: C:\Python39
|
|
- APPVEYOR_BUILD_WORKER_IMAGE: Visual Studio 2019
|
|
PYTHON: C:\Python39-x64
|
|
# build pre release packages on Python 3.8 since it has been out long
|
|
# enough for wheels to be built for packages that need to be compiled.
|
|
- PYTHON: C:\Python38-x64
|
|
PIP_FLAGS: --pre
|
|
|
|
matrix:
|
|
fast_finish: true
|
|
|
|
install:
|
|
- ECHO "Filesystem root:"
|
|
- ps: "ls \"C:/\""
|
|
|
|
# If there is a newer build queued for the same PR, cancel this one.
|
|
# The AppVeyor 'rollout builds' option is supposed to serve the same
|
|
# purpose but is problematic because it tends to cancel builds pushed
|
|
# directly to master instead of just PR builds.
|
|
# credits: JuliaLang developers.
|
|
- ps: if ($env:APPVEYOR_PULL_REQUEST_NUMBER -and $env:APPVEYOR_BUILD_NUMBER -ne ((Invoke-RestMethod `
|
|
https://ci.appveyor.com/api/projects/$env:APPVEYOR_ACCOUNT_NAME/$env:APPVEYOR_PROJECT_SLUG/history?recordsNumber=50).builds | `
|
|
Where-Object pullRequestId -eq $env:APPVEYOR_PULL_REQUEST_NUMBER)[0].buildNumber) { `
|
|
throw "There are newer queued builds for this pull request, failing early." }
|
|
|
|
- "SET PATH=%PYTHON%;%PYTHON%\\Scripts;%PATH%"
|
|
- "python -m pip install -U pip"
|
|
|
|
# Check that we have the expected version and architecture for Python
|
|
- "python --version"
|
|
- "python -c \"import struct; print(struct.calcsize('P') * 8)\""
|
|
- "pip --version"
|
|
|
|
# Install the build and runtime dependencies of the project.
|
|
- pip install %PIP_FLAGS% -r requirements/default.txt
|
|
- pip install %PIP_FLAGS% -r requirements/build.txt
|
|
- python setup.py bdist_wheel bdist_wininst
|
|
- ps: "ls dist"
|
|
|
|
# Install the generated wheel package to test it.
|
|
- pip install %PIP_FLAGS% --no-index --find-links dist/ scikit-image
|
|
# Install the test dependencies
|
|
- pip install %PIP_FLAGS% -r requirements/test.txt
|
|
|
|
# Not a .NET project, we build scikit-image in the install step instead
|
|
build: false
|
|
|
|
test_script:
|
|
## Build the docs
|
|
#- pip install sphinx pytest-runner sphinx-gallery
|
|
#- SET PYTHON=%PYTHON%\\python.exe && cd doc && make html
|
|
|
|
# Change to a non-source folder to make sure we run the tests on the
|
|
# installed library.
|
|
- "cd C:\\"
|
|
|
|
# Use the Agg backend in Matplotlib
|
|
- echo backend:Agg > matplotlibrc
|
|
|
|
# Run unit tests with pytest
|
|
- pytest -v --pyargs skimage
|
|
|
|
#artifacts:
|
|
# # Archive the generated wheel package in the ci.appveyor.com build report.
|
|
# - path: dist\*
|
|
|
|
#on_success:
|
|
# - TODO: upload the content of dist/*.whl to a public wheelhouse
|
|
|
|
cache:
|
|
# Avoid re-downloading large packages
|
|
- '%APPDATA%\pip\Cache'
|