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branch master updated: gnu: r-voltron: Add Python inputs.


From: guix-commits
Subject: branch master updated: gnu: r-voltron: Add Python inputs.
Date: Sun, 01 Dec 2024 04:42:36 -0500

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rekado pushed a commit to branch master
in repository guix.

The following commit(s) were added to refs/heads/master by this push:
     new c5b16964bb gnu: r-voltron: Add Python inputs.
c5b16964bb is described below

commit c5b16964bb37278f98a8d67d1d8cc626a08f422d
Author: Ricardo Wurmus <rekado@elephly.net>
AuthorDate: Sun Dec 1 10:41:35 2024 +0100

    gnu: r-voltron: Add Python inputs.
    
    * gnu/packages/bioinformatics.scm (r-voltron)[inputs]: Add python,
    python-numpy, python-pandas, python-anndata, python-h5py, python-natsort,
    python-numcodecs, python-packaging, python-scipy, python-tifffile, and
    python-zarr.
    
    Change-Id: Iab137936550b51d6839d9beaa47f6102a8f3c355
---
 gnu/packages/bioinformatics.scm | 18 +++++++++++++++++-
 1 file changed, 17 insertions(+), 1 deletion(-)

diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm
index 57283ee9b9..421bc9bf0d 100644
--- a/gnu/packages/bioinformatics.scm
+++ b/gnu/packages/bioinformatics.scm
@@ -21763,7 +21763,23 @@ patterns.")
           (base32 "0bvvpj96ix2ij6034dfrh7za1lvf73qxqsdvbs2wrpc931s18q32"))))
       (properties `((upstream-name . "VoltRon")))
       (build-system r-build-system)
-      (inputs (list opencv zlib))
+      (inputs
+       (list opencv
+             ;; These Python inputs would be fetched by Basilisk via Conda.
+             ;; We add these inputs in anticipation of an upstream change to
+             ;; allow for a Conda-free use of the package.
+             python
+             python-numpy
+             python-pandas
+             python-anndata
+             python-h5py
+             python-natsort
+             python-numcodecs
+             python-packaging
+             python-scipy
+             python-tifffile
+             python-zarr
+             zlib))
       (propagated-inputs (list r-basilisk
                                r-data-table
                                r-dplyr



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