gnu: python-loompy: Update to 2.0.17.

* gnu/packages/bioinformatics.scm (python-loompy): Update to 2.0.17.
[source]: Fetch via git.
[arguments]: Enable tests, replace "check" phase.
[propagated-inputs]: Add python-pandas.
[native-inputs]: Add python-pytest.
This commit is contained in:
Ricardo Wurmus 2019-03-13 22:43:43 +01:00
parent 1f058eced3
commit 55a0a3c853
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1 changed files with 24 additions and 10 deletions

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@ -11945,21 +11945,35 @@ variational inference.")
(define-public python-loompy (define-public python-loompy
(package (package
(name "python-loompy") (name "python-loompy")
(version "2.0.2") (version "2.0.17")
(source ;; The tarball on Pypi does not include the tests.
(origin (source (origin
(method url-fetch) (method git-fetch)
(uri (pypi-uri "loompy" version)) (uri (git-reference
(url "https://github.com/linnarsson-lab/loompy.git")
(commit version)))
(file-name (git-file-name name version))
(sha256 (sha256
(base32 (base32
"1drgv8j1hxqzzpnfg272x9djb6j8qr798w1pc2x8ikmfgyd9gh51")))) "12a5kjgiikapv93wahfw0frszx1lblnppyz3vs5gy8fgmgngra07"))))
(build-system python-build-system) (build-system python-build-system)
;; There are no tests (arguments
(arguments '(#:tests? #f)) `(#:phases
(modify-phases %standard-phases
(replace 'check
(lambda _
(setenv "PYTHONPATH"
(string-append (getcwd) ":"
(getenv "PYTHONPATH")))
(invoke "pytest" "tests")
#t)))))
(propagated-inputs (propagated-inputs
`(("python-h5py" ,python-h5py) `(("python-h5py" ,python-h5py)
("python-numpy" ,python-numpy) ("python-numpy" ,python-numpy)
("python-pandas" ,python-pandas)
("python-scipy" ,python-scipy))) ("python-scipy" ,python-scipy)))
(native-inputs
`(("python-pytest" ,python-pytest)))
(home-page "https://github.com/linnarsson-lab/loompy") (home-page "https://github.com/linnarsson-lab/loompy")
(synopsis "Work with .loom files for single-cell RNA-seq data") (synopsis "Work with .loom files for single-cell RNA-seq data")
(description "The loom file format is an efficient format for very large (description "The loom file format is an efficient format for very large