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| author | Ricardo Wurmus <rekado@elephly.net> | 2023-05-05 15:37:10 +0200 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2023-05-05 15:39:29 +0200 |
| commit | 25623a3b34f89e7c3f882b30cd679358d4c8d02b (patch) | |
| tree | 8f6b50d5138413b9acd81276e5626c9a7809307b /gnu | |
| parent | 931650212a31e2c7c80e490e084e79754ea6c0a7 (diff) | |
| download | guix-25623a3b34f89e7c3f882b30cd679358d4c8d02b.tar guix-25623a3b34f89e7c3f882b30cd679358d4c8d02b.tar.gz | |
gnu: Add python-qnorm.
* gnu/packages/python-xyz.scm (python-qnorm): New variable.
Diffstat (limited to 'gnu')
| -rw-r--r-- | gnu/packages/python-xyz.scm | 36 |
1 files changed, 36 insertions, 0 deletions
diff --git a/gnu/packages/python-xyz.scm b/gnu/packages/python-xyz.scm index f3bebc9881..38af693ab6 100644 --- a/gnu/packages/python-xyz.scm +++ b/gnu/packages/python-xyz.scm @@ -11123,6 +11123,42 @@ provides convenient short API for print out of values, tracebacks, and falling into the Python interpreter.") (license license:asl2.0))) +(define-public python-qnorm + (package + (name "python-qnorm") + (version "0.8.1") + (source (origin + (method url-fetch) + (uri (pypi-uri "qnorm" version)) + (sha256 + (base32 + "1iykxrvlg32h78d3cr0137x93w8krcwc8gdqyfj55id917pz7ck1")))) + (build-system pyproject-build-system) + (arguments + (list + #:tests? #false ;there are none + #:phases + #~(modify-phases %standard-phases + (add-after 'unpack 'fix-pyproject-format + (lambda _ + (substitute* "pyproject.toml" + (("url = .*") (string-append "version = \"" #$version "\"")) + (("python_requires.*") "") + (("packages =.*") "") + (("install_requires") "dependencies") + (("\"Maarten van der Sande <maartenvandersande@hotmail.com>\"") + "{ name = \"Maarten van der Sande\", email = \"maartenvandersande@hotmail.com\"}") + (("license = \"MIT\"") "license = { file = \"LICENSE\"}"))))))) + (propagated-inputs (list python-numba python-numpy python-pandas)) + (home-page "https://github.com/Maarten-vd-Sande/qnorm") + (synopsis "Quantile normalization") + (description "This tool implements quantile normalization. It properly +resolves rank ties, which is important when ties happen frequently, such as +when working with discrete numbers (integers) in count tables. This +implementation should be relatively fast, and can use multiple cores to sort +the columns and tie-resolvement is accelerated by numba.") + (license license:expat))) + (define-public python-xlib (package (name "python-xlib") |