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gnu: python-lap: Update to 0.5.12.
* gnu/packages/machine-learning.scm (python-lap): Update to 0.5.12.
[build-system]: Switch to pyproject.
[arguments]{test-flags}: Run tests in output.
{phases}: Add a 'check-cleanup phase to remove tests from output.
[propagated-inputs]: Remove python-scipy.
[native-inputs]: Add python-setuptools, python-wheel.
Change-Id: Id4c94c8a90c98ae4674e5d6c5a37ae9cfc9a63a1
Signed-off-by: Steve George <steve@futurile.net>
This commit is contained in:
committed by
Andreas Enge
parent
e4cdcbbcbb
commit
95e8a42360
@@ -6492,34 +6492,33 @@ of Hidden Markov Models.")
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(define-public python-lap
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(package
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(name "python-lap")
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(version "0.4.0")
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(version "0.5.12")
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(source (origin
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(method url-fetch)
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(uri (pypi-uri "lap" version))
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(sha256
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(base32
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"0fqfxpq4jg9h4wxjw540gjmvfg1ccc1nssk7i9njg7qfdybxknn4"))))
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(build-system python-build-system)
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"1za4mf5nd7vzwd24sy2mfxrk8mnwq7d8rv6h96yh8v5flx7422sp"))))
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(build-system pyproject-build-system)
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(arguments
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`(#:phases
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(modify-phases %standard-phases
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(replace 'build
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(lambda* (#:key inputs #:allow-other-keys)
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(invoke "python" "setup.py" "build"
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"--cpu-baseline=sse2")))
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(replace 'check
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(lambda* (#:key tests? #:allow-other-keys)
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(when tests?
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;; The tests must be run from elsewhere.
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(mkdir-p "/tmp/test")
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(copy-recursively "lap/tests" "/tmp/test")
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(with-directory-excursion "/tmp/test"
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(invoke "pytest" "-vv"))))))))
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(list
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#:test-flags #~(list "-v" #$output)
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#:phases
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#~(modify-phases %standard-phases
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(add-after 'check 'check-cleanup
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(lambda* (#:key tests? #:allow-other-keys)
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(when tests?
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(for-each
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delete-file-recursively
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(find-files #$output
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(lambda (file stat)
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(or (member (basename file)
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'("tests" ".pytest_cache"))))
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#:directories? #t))))))))
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(propagated-inputs
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(list python-numpy
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python-scipy))
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(list python-numpy))
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(native-inputs
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(list python-cython python-pytest))
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(list python-cython python-pytest python-setuptools python-wheel))
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(home-page "https://github.com/gatagat/lap")
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(synopsis "Linear Assignment Problem solver (LAPJV/LAPMOD)")
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(description "Lap is a linear assignment problem solver using Jonker-Volgenant
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