~ruther/guix-local

f67abf4a665cbe7b680c3a4545efc1d1b26ab359 — Cayetano Santos 8 months ago 9a5efe2 
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>
patch browse .tar.gz 
1 files changed, 22 insertions(+), 25 deletions(-)

M gnu/packages/machine-learning.scm

M gnu/packages/machine-learning.scm => gnu/packages/machine-learning.scm +22 -25
@@ 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