gnu: python-captum: Update to 0.8.0.

* gnu/packages/machine-learning.scm (python-captum): Update to 0.8.0.
[aguments]: Use G-Expressions. <test-flags>: Add "tests" option
parameter.
[native-inputs]: Remove jupyter, python-annoy, python-black,
python-flake8, python-ipython, python-ipywidgets, python-mypy,
python-pytest, and python-pytest-cov.

Change-Id: I1df3c97e8fd5f0075888420a9f9b4a6411bd58bb
Signed-off-by: Sharlatan Hellseher <sharlatanus@gmail.com>

gnu/packages/machine-learning.scm

@@ -5546,7 +5546,7 @@ Actions for the Lightning suite of libraries.")
 (define-public python-captum
   (package
     (name "python-captum")
-    (version "0.7.0")
+    (version "0.8.0")
     (source (origin
               (method git-fetch)
               (uri (git-reference
@@ -5555,35 +5555,32 @@ Actions for the Lightning suite of libraries.")
               (file-name (git-file-name name version))
               (sha256
                (base32
-                "0bgfwnlsi50hbmknn7qljiy93fi6ggwz3k7yk9kj7s37mhzaylym"))))
+                "066sal7hzpk9gsb6pk61sa9x01ckjbjb2mc8c69nc7aghqqrpqjs"))))
     (build-system pyproject-build-system)
     (arguments
      (list
       #:test-flags
-      '(list "-k" (string-append
-                   ;; These two tests (out of more than 1000 tests) fail because of
-                   ;; accuracy problems.
-                   "not test_softmax_classification_batch_multi_target"
-                   " and not test_softmax_classification_batch_zero_baseline"
-                   ;; This test fails with PyTorch 2.7.0 due to stricter
-                   ;; torch.load weights_only behavior.
-                   " and not test_exp_sets_with_diffent_lengths"))))
+      #~(list "-k" (string-append
+                    ;; These two tests (out of more than 1000 tests) fail
+                    ;; because of accuracy problems.
+                    "not test_softmax_classification_batch_multi_target"
+                    " and not test_softmax_classification_batch_zero_baseline"
+                    ;; This test fails with PyTorch 2.7.0 due to stricter
+                    ;; torch.load weights_only behavior.
+                    " and not test_exp_sets_with_diffent_lengths")
+              "tests")))
+    (native-inputs
+     (list python-flask
+           python-pytest
+           python-flask-compress
+           python-parameterized
+           python-scikit-learn
+           python-setuptools))
     (propagated-inputs
-     (list python-matplotlib python-numpy python-pytorch python-tqdm))
-    (native-inputs (list jupyter
-                         python-annoy
-                         python-black
-                         python-flake8
-                         python-flask
-                         python-flask-compress
-                         python-ipython
-                         python-ipywidgets
-                         python-mypy
-                         python-parameterized
-                         python-pytest
-                         python-pytest-cov
-                         python-scikit-learn
-                         python-setuptools))
+     (list python-matplotlib
+           python-numpy
+           python-pytorch
+           python-tqdm))
     (home-page "https://captum.ai")
     (synopsis "Model interpretability for PyTorch")
     (description "Captum is a model interpretability and understanding library