mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-27 18:25:32 +08:00
Egor Panfilov
77 lines
2.3 KiB
YAML
77 lines
2.3 KiB
YAML
# AppVeyor.com is a Continuous Integration service to build and run tests under
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# Windows
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environment:
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global:
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# SDK v7.0 MSVC Express 2008's SetEnv.cmd script will fail if the
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# /E:ON and /V:ON options are not enabled in the batch script intepreter
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# See: http://stackoverflow.com/a/13751649/163740
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CMD_IN_ENV: "cmd /E:ON /V:ON /C .\\tools\\appveyor\\run_with_env.cmd"
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matrix:
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- PYTHON: "C:\\Python27-conda32"
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PYTHON_VERSION: "2.7"
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PYTHON_ARCH: "32"
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# disable other builds until they can be run in parallel
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#- PYTHON: "C:\\Python27-conda64"
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# PYTHON_VERSION: "2.7"
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# PYTHON_ARCH: "64"
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#- PYTHON: "C:\\Python35-conda32"
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# PYTHON_VERSION: "3.5"
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# PYTHON_ARCH: "32"
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#- PYTHON: "C:\\Python35-conda64"
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# PYTHON_VERSION: "3.5"
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# PYTHON_ARCH: "64"
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install:
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- ECHO "Filesystem root:"
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- ps: "ls \"C:/\""
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# Install Python and all the required packages.
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- "powershell ./tools/appveyor/install.ps1"
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# Prepend newly installed Python to the PATH of this build
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# (this cannot be done from inside the powershell script as it would require
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# to restart the parent CMD process).
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- "SET PATH=%PYTHON%;%PYTHON%\\Scripts;%PATH%"
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# Check that we have the expected version and architecture for Python
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- "python --version"
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- "python -c \"import struct; print(struct.calcsize('P') * 8)\""
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# Install the build and runtime dependencies of the project.
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- "%CMD_IN_ENV% pip install -v -r requirements.txt"
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- "%CMD_IN_ENV% python setup.py bdist_wheel bdist_wininst"
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- ps: "ls dist"
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# Install the generated wheel package to test it
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- "pip install --pre --no-index --find-links dist/ scikit-image"
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# Not a .NET project, we build scikit-image in the install step instead
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build: false
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test_script:
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# Build the docs
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- pip install sphinx
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- SET PYTHON=%PYTHON%\\python.exe && cd doc && make html
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# Change to a non-source folder to make sure we run the tests on the
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# installed library.
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- "cd C:\\"
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# Use the Agg backend in Matplotlib
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- echo backend:Agg > matplotlibrc
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# Run unit tests with nose
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- "python -c \"import nose; nose.main()\" -v -s skimage"
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artifacts:
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# Archive the generated wheel package in the ci.appveyor.com build report.
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- path: dist\*
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#on_success:
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# - TODO: upload the content of dist/*.whl to a public wheelhouse
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