guix_mirror_bot pushed a commit to branch python-team
in repository guix.
commit c0839eb43fa2b5187ce40d9b9c76113b6136d31c
Author: Sharlatan Hellseher <[email protected]>
AuthorDate: Fri Jan 2 21:34:50 2026 +0000
gnu: python-captum: Update to 0.8.0-0.4fade3a.
* gnu/packages/machine-learning.scm (python-captum): Update to
4fade3af8dc398c1f96b193c969565aad23aedf5 commit.
[propagated-inputs]: Add python-openai.
Change-Id: Ic51de929ac28f565244b7aec93b9b2be7211fb02
---
gnu/packages/machine-learning.scm | 16 ++++++++++++----
1 file changed, 12 insertions(+), 4 deletions(-)
diff --git a/gnu/packages/machine-learning.scm
b/gnu/packages/machine-learning.scm
index ca7af89190..5be6243852 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -5155,19 +5155,25 @@ Actions for the Lightning suite of libraries.")
(define-public python-captum
(package
(name "python-captum")
- (version "0.8.0")
+ ;; The latest commit provides compatability with NumPy 2.
+ (properties '((commit . "4fade3af8dc398c1f96b193c969565aad23aedf5")
+ (revision . "0")))
+ (version (git-version "0.8.0"
+ (assoc-ref properties 'revision)
+ (assoc-ref properties 'commit)))
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/pytorch/captum")
- (commit (string-append "v" version))))
+ (commit (assoc-ref properties 'commit))))
(file-name (git-file-name name version))
(sha256
(base32
- "066sal7hzpk9gsb6pk61sa9x01ckjbjb2mc8c69nc7aghqqrpqjs"))))
+ "1v1di9kk2xinwwcll5q514fn9r6ivj3zzgg6l5h7dwlsn2vymsnd"))))
(build-system pyproject-build-system)
(arguments
(list
+ ;; tests: 17 failed, 1368 passed, 75 skipped, 3 deselected, 542 warnings
#:test-flags
#~(list "-k" (string-append
;; These two tests (out of more than 1000 tests) fail
@@ -5189,7 +5195,9 @@ Actions for the Lightning suite of libraries.")
(list python-matplotlib
python-numpy
python-pytorch
- python-tqdm))
+ python-tqdm
+ ;; [optional]
+ python-openai))
(home-page "https://captum.ai")
(synopsis "Model interpretability for PyTorch")
(description "Captum is a model interpretability and understanding library