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gnu: python-gpytorch: Update to 1.14.
* gnu/packages/machine-learning.scm (python-gpytorch): Update to 1.14. [arguments]{test-flags}: Ignore additional failing test. [propagated-inputs]: Add python-jaxtyping. [native-inputs]: Add python-setuptools, python-wheel. Signed-off-by: Sharlatan Hellseher <sharlatanus@gmail.com>
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1 changed files with 13 additions and 6 deletions
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@ -6640,27 +6640,34 @@ linear algebra routines needed for structured matrices (or operators).")
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(define-public python-gpytorch
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(define-public python-gpytorch
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(package
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(package
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(name "python-gpytorch")
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(name "python-gpytorch")
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(version "1.12")
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(version "1.14")
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(source (origin
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(source (origin
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(method url-fetch)
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(method url-fetch)
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(uri (pypi-uri "gpytorch" version))
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(uri (pypi-uri "gpytorch" version))
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(sha256
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(sha256
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(base32
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(base32
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"1pwsccll1hrgkifdmlxzcn6cvnwvyq2cimqzbfgihr13yw51cb6w"))))
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"13cs6dx8qa5j4ygji9w5xbmaqc68ihqyzz33fyyf9qa6d8gc2b03"))))
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(build-system pyproject-build-system)
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(build-system pyproject-build-system)
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(arguments
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(arguments
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(list #:test-flags
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(list #:test-flags
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#~(list "-k" (string-append
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;; test_deprecated_methods fails with an AssertionError.
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;; test_deprecated_methods fails with an AssertionError.
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#~(list "-k" (string-append "not test_deprecated_methods")
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"not test_deprecated_methods"
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;; This test is flaky: Expects gradients of 0 exactly,
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;; can get negligible ones (e-10 to e-16).
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" and not test_optimization_optimal_error")
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;; Ignore lenghty tests of little relevance.
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;; Ignore lenghty tests of little relevance.
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"--ignore=test/examples/")))
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"--ignore=test/examples/")))
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(propagated-inputs (list python-linear-operator
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(propagated-inputs (list python-jaxtyping
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python-linear-operator
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python-mpmath
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python-mpmath
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python-scikit-learn
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python-scikit-learn
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python-scipy))
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python-scipy))
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(native-inputs (list python-nbval
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(native-inputs (list python-nbval
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python-pytest
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python-pytest
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python-setuptools))
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python-setuptools
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python-setuptools-scm
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python-wheel))
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(home-page "https://gpytorch.ai")
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(home-page "https://gpytorch.ai")
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(synopsis "Implementation of Gaussian Processes in PyTorch")
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(synopsis "Implementation of Gaussian Processes in PyTorch")
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(description
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(description
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