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https://github.com/SheffieldML/GPy.git
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bb1bc50886
This PR adds two main things to GPy: - to- and from-dict functions for the kernels listed belop - a fix for the appveyor CI Please see the squashed commit messages listed below. Authors: @gehbiszumeis @ppk42 respectively Reviewer: @ekalosak --- * new: added to_dict() method to Coregionalize kernel class * new: added to_dict() method to MixedNoise likelihood class * fix: made Y_metadata dict content serializable * fix: typo * added additional needed parameters to to_dict() method for Coregionalize kernel + added _build_from_input dict method * new: added possibility to build MixedNoise likelihood from input_dict * Y_metadata conversion from serializable to np.array when loading from dict * fix: rework Y_metadata part for compatibility with unittests !minor * conda cleanup in appveyors pipeline * conda clean up after conda update * conda clean before conda update * try pinning packages for conda * revert all conda changes * conda clean all (not only packages) * use conda update anaconda * pin conda package * pin conda package * try installing charset-normalizer beforehand * try to get from conda-forge * revert all conda changes * Try to fix the conda update challange. See: https://community.intel.com/t5/Intel-Distribution-for-Python/Conda-update-Conda-fails/td-p/1126174 It is just a try for a different context/(conda version). * Still fixing build error on appveyor I also use a newer miniconda version for greater python versions. * Update appveyor.yml Thinking it over it decided to use miniconda38 for all python versions unless python 3.5. * revert miniconda versioning changes * adjust GPy version in appveyor.yml * 1st attempt bring the appveyor build to life again * #955 fixing ci build on appveyor After bringing the miniconda env to work again, the wrong matplotlib version was used. This commit should fix that. * #955 Fix CI build Freezing numpy and scipy was a bad idea. I freeze matplotlib dependend on the python version only. * add: built_from_dict method for White Kernel Co-authored-by: Peter Paul Kiefer <ppk42@users.noreply.github.com> Co-authored-by: Peter Paul Kiefer <dafisppk@gmail.com>
95 lines
3 KiB
YAML
95 lines
3 KiB
YAML
environment:
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pip_access:
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secure: 8/ZjXFwtd1S7ixd7PJOpptupKKEDhm2da/q3unabJ00=
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COVERALLS_REPO_TOKEN:
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secure: d3Luic/ESkGaWnZrvWZTKrzO+xaVwJWaRCEP0F+K/9DQGPSRZsJ/Du5g3s4XF+tS
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gpy_version: 1.10.0
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matrix:
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- PYTHON_VERSION: 3.5
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MINICONDA: C:\Miniconda35-x64
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MPL_VERSION: 3.0.0
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- PYTHON_VERSION: 3.6
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MINICONDA: C:\Miniconda3-x64
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MPL_VERSION: 3.3.4
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- PYTHON_VERSION: 3.7
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MINICONDA: C:\Miniconda3-x64
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MPL_VERSION: 3.3.4
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- PYTHON_VERSION: 3.8
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MINICONDA: C:\Miniconda3-x64
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MPL_VERSION: 3.3.4
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- PYTHON_VERSION: 3.9
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MINICONDA: C:\Miniconda3-x64
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MPL_VERSION: 3.3.4
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#configuration:
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# - Debug
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# - Release
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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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# github issue #955: freeze build version of matplotlib
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- "conda create -q -n build-environment python=%PYTHON_VERSION% numpy scipy matplotlib=%MPL_VERSION%"
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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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- python -m pip install nose-show-skipped
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- python -m pip install coverage
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- python -m pip install coveralls
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- python -m pip install codecov
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- python -m pip install twine
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- "python setup.py develop"
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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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- "coverage run travis_tests.py"
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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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- codecov
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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 [distutils] > %USERPROFILE%\\.pypirc
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- echo index-servers = >> %USERPROFILE%\\.pypirc
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- echo pypi >> %USERPROFILE%\\.pypirc
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- echo test >> %USERPROFILE%\\.pypirc
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- echo[
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- echo [pypi] >> %USERPROFILE%\\.pypirc
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- echo username = maxz >> %USERPROFILE%\\.pypirc
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- echo password = %pip_access% >> %USERPROFILE%\\.pypirc
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- echo[
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- echo [test] >> %USERPROFILE%\\.pypirc
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- echo repository = https://testpypi.python.org/pypi >> %USERPROFILE%\\.pypirc
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- echo username = maxz >> %USERPROFILE%\\.pypirc
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- echo password = %pip_access% >> %USERPROFILE%\\.pypirc
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- .appveyor_twine_upload.bat
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# deploy:
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# - provider: GitHub
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# release: GPy-v$(gpy_version)
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# description: 'GPy windows install'
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# artifact: dist/*.exe # upload wininst to GitHub
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# draft: false
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# prerelease: false
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# on:
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# branch: deploy # release from deploy branch only
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# appveyor_repo_tag: true # deploy on tag push only
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