andreas pushed a commit to branch python-team
in repository guix.

commit fd9b448bed1ef835c0afd2c33517895da92fc36f
Author: Nicolas Graves <[email protected]>
AuthorDate: Fri Apr 4 21:16:49 2025 +0200

    gnu: python-gpytorch: Remove uneeded inputs.
    
    * gnu/packages/machine-learning.scm (python-gpytorch): Remove uneeded
    inputs.
    [arguments]{test-flags}: Ignore costly examples tests.
    [native-inputs]: Remove python-coverage, python-flake8,
    python-flake8-print, python-twine.
    
    Change-Id: Id3b9537d9f3306cc4a8e0eed19aabd5732854813
    Signed-off-by: Sharlatan Hellseher <[email protected]>
---
 gnu/packages/machine-learning.scm | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/gnu/packages/machine-learning.scm 
b/gnu/packages/machine-learning.scm
index 15e5c5335e..fac4f971c7 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -6651,18 +6651,16 @@ linear algebra routines needed for structured matrices 
(or operators).")
     (arguments
      (list #:test-flags
            ;; test_deprecated_methods fails with an AssertionError.
-           #~(list "-k" (string-append "not test_deprecated_methods"))))
+           #~(list "-k" (string-append "not test_deprecated_methods")
+                   ;; Ignore lenghty tests of little relevance.
+                   "--ignore=test/examples/")))
     (propagated-inputs (list python-linear-operator
                              python-mpmath
                              python-scikit-learn
                              python-scipy))
-    (native-inputs (list python-coverage
-                         python-flake8
-                         python-flake8-print
-                         python-nbval
+    (native-inputs (list python-nbval
                          python-pytest
-                         python-setuptools
-                         python-twine))
+                         python-setuptools))
     (home-page "https://gpytorch.ai";)
     (synopsis "Implementation of Gaussian Processes in PyTorch")
     (description

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