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gnu: python-pynndescent: Update to 0.5.6.

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* gnu/packages/machine-learning.scm (python-pynndescent): Update to 0.5.6.
[phases]{check}: Skip the test_weighted_minkowski test.
[native-inputs, propagated-inputs]: Re-indent.
This commit is contained in:
Maxim Cournoyer 2022-04-18 17:43:43 -04:00
parent 1d1f44b709
commit 06b0512260
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1 changed files with 11 additions and 7 deletions
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gnu/packages/machine-learning.scm
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@ -1210,13 +1210,13 @@ for scientific computing and data science (e.g. BLAS and OpenMP).")
(define-public python-pynndescent (define-public python-pynndescent
(package (package
(name "python-pynndescent") (name "python-pynndescent")
(version "0.5.5") (version "0.5.6")
(source (source
(origin (origin
(method url-fetch) (method url-fetch)
(uri (pypi-uri "pynndescent" version)) (uri (pypi-uri "pynndescent" version))
(sha256 (sha256
(base32 "10pqqqc3jkpw03cyzy04slxmpgyhqnlgbyk0c1cv7kqr5d0zhzbs")))) (base32 "0p3jsdcprjfzz7qf5674dsqfpvdn6p4wgqikg7b6ki5abf433yv1"))))
(build-system python-build-system) (build-system python-build-system)
(arguments (arguments
`(#:phases `(#:phases
@ -1224,12 +1224,16 @@ for scientific computing and data science (e.g. BLAS and OpenMP).")
(replace 'check (replace 'check
(lambda* (#:key inputs outputs tests? #:allow-other-keys) (lambda* (#:key inputs outputs tests? #:allow-other-keys)
(when tests? (when tests?
(add-installed-pythonpath inputs outputs) (invoke "python" "-m" "pytest" "--pyargs" "pynndescent"
(invoke "python" "-m" "pytest" "--pyargs" "pynndescent"))))))) ;; wminkowski no longer exists in scipy 1.8.0 (see:
(native-inputs ;; https://github.com/lmcinnes/pynndescent/issues/177)
(list python-pytest)) "-k" "not test_weighted_minkowski")))))))
(native-inputs (list python-pytest))
(propagated-inputs (propagated-inputs
(list python-joblib python-llvmlite python-numba python-scikit-learn (list python-joblib
python-llvmlite
python-numba
python-scikit-learn
python-scipy)) python-scipy))
(home-page "https://github.com/lmcinnes/pynndescent") (home-page "https://github.com/lmcinnes/pynndescent")
(synopsis "Nearest neighbor descent for approximate nearest neighbors") (synopsis "Nearest neighbor descent for approximate nearest neighbors")