105 lines
4.1 KiB
YAML
105 lines
4.1 KiB
YAML
# AppVeyor.com is a Continuous Integration service to build and run tests under
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# Windows
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# https://ci.appveyor.com/project/sklearn-ci/scikit-learn
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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 interpreter
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# See: https://stackoverflow.com/a/13751649/163740
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CMD_IN_ENV: "cmd /E:ON /V:ON /C .\\build_tools\\appveyor\\run_with_env.cmd"
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WHEELHOUSE_UPLOADER_USERNAME: sklearn-appveyor
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WHEELHOUSE_UPLOADER_SECRET:
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secure: BQm8KfEj6v2Y+dQxb2syQvTFxDnHXvaNktkLcYSq7jfbTOO6eH9n09tfQzFUVcWZ
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# Make sure we don't download large datasets when running the test on
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# continuous integration platform
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SKLEARN_SKIP_NETWORK_TESTS: 1
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matrix:
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- PYTHON: "C:\\Python37-x64"
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PYTHON_VERSION: "3.7.0"
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PYTHON_ARCH: "64"
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CHECK_WARNINGS: "true"
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- PYTHON: "C:\\Python35"
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PYTHON_VERSION: "3.5.6"
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PYTHON_ARCH: "32"
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# Because we only have a single worker, we don't want to waste precious
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# appveyor CI time and make other PRs wait for repeated failures in a failing
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# PR. The following option cancels pending jobs in a given PR after the first
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# job failure in that specific PR.
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matrix:
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fast_finish: true
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install:
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# If there is a newer build queued for the same PR, cancel this one.
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# The AppVeyor 'rollout builds' option is supposed to serve the same
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# purpose but is problematic because it tends to cancel builds pushed
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# directly to master instead of just PR builds.
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# credits: JuliaLang developers.
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- ps: if ($env:APPVEYOR_PULL_REQUEST_NUMBER -and $env:APPVEYOR_BUILD_NUMBER -ne ((Invoke-RestMethod `
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https://ci.appveyor.com/api/projects/$env:APPVEYOR_ACCOUNT_NAME/$env:APPVEYOR_PROJECT_SLUG/history?recordsNumber=500).builds | `
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Where-Object pullRequestId -eq $env:APPVEYOR_PULL_REQUEST_NUMBER)[0].buildNumber) { `
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throw "There are newer queued builds for this pull request, failing early." }
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# Install Python (from the official .msi of https://python.org) and pip when
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# not already installed.
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- "powershell ./build_tools/appveyor/install.ps1"
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- "SET PATH=%PYTHON%;%PYTHON%\\Scripts;%PATH%"
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- "python -m pip install -U pip"
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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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- "pip --version"
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# Install the build and runtime dependencies of the project.
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- "%CMD_IN_ENV% pip install --timeout=60 --trusted-host 28daf2247a33ed269873-7b1aad3fab3cc330e1fd9d109892382a.r6.cf2.rackcdn.com -r build_tools/appveyor/requirements.txt"
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- "%CMD_IN_ENV% python setup.py bdist_wheel bdist_wininst -b doc/logos/scikit-learn-logo.bmp"
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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-learn"
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# Not a .NET project, we build scikit-learn in the install step instead
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build: false
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test_script:
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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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- mkdir "../empty_folder"
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- cd "../empty_folder"
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- ps: >-
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if (Test-Path variable:global:CHECK_WARNINGS) {
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$env:PYTEST_ARGS = "-Werror::DeprecationWarning -Werror::FutureWarning"
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} else {
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$env:PYTEST_ARGS = ""
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}
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- "pytest --showlocals --durations=20 %PYTEST_ARGS% --pyargs sklearn"
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# Move back to the project folder
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- cd "../scikit-learn"
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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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# Upload the generated wheel package to Rackspace
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- "python -m wheelhouse_uploader upload --local-folder=dist sklearn-windows-wheels"
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notifications:
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- provider: Webhook
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url: https://webhooks.gitter.im/e/0dc8e57cd38105aeb1b4
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on_build_success: false
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on_build_failure: True
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cache:
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# Use the appveyor cache to avoid re-downloading large archives such
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# the MKL numpy and scipy wheels mirrored on a rackspace cloud
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# container, speed up the appveyor jobs and reduce bandwidth
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# usage on our rackspace account.
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- '%APPDATA%\pip\Cache'
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