mirror of
https://github.com/SheffieldML/GPy.git
synced 2026-04-30 15:26:23 +02:00
59 lines
1.7 KiB
YAML
59 lines
1.7 KiB
YAML
environment:
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pip_upload:
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secure: 8/ZjXFwtd1S7ixd7PJOpptupKKEDhm2da/q3unabJ00=
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matrix:
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- PYTHON_VERSION: 2.7
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MINICONDA: C:\Miniconda-x64
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- PYTHON_VERSION: 3.5
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MINICONDA: C:\Miniconda35-x64
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branches:
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only:
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- deploy
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install:
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- "set PATH=%MINICONDA%;%MINICONDA%\\Scripts;%PATH%"
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- conda config --set always_yes yes --set changeps1 no
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- conda update -q conda
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- conda info -a
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- "conda create -q -n build-environment python=%PYTHON_VERSION% numpy scipy matplotlib"
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- activate build-environment
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# We need wheel installed to build wheels
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- python -m pip install wheel
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# GPy needs paramz
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- python -m pip install paramz
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build: off
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test_script:
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# Put your test command here.
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# If you don't need to build C extensions on 64-bit Python 3.3 or 3.4,
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# you can remove "build.cmd" from the front of the command, as it's
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# only needed to support those cases.
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# Note that you must use the environment variable %PYTHON% to refer to
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# the interpreter you're using - Appveyor does not do anything special
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# to put the Python evrsion you want to use on PATH.
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#- "build.cmd %PYTHON%\\python.exe setup.py test"
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- "python setup.py test"
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after_test:
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# This step builds your wheels.
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- "python setup.py bdist_wheel"
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artifacts:
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# bdist_wheel puts your built wheel in the dist directory
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- path: dist\*
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deploy_script:
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- "echo [pypi] > %USERPROFILE%\\.pypirc"
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- "echo username: user >> %USERPROFILE%\\.pypirc"
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- "echo password: %pip_upload% >> %USERPROFILE%\\.pypirc"
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- python setup.py bdist_wheel upload
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#on_success:
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# You can use this step to upload your artifacts to a public website.
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# See Appveyor's documentation for more details. Or you can simply
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# access your wheels from the Appveyor "artifacts" tab for your build.
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