@@ 541,7 541,7 @@ Learning usecases.")
(define-public python-ml-dtypes
(package
(name "python-ml-dtypes")
- (version "0.2.0")
+ (version "0.5.3")
(source
(origin
(method git-fetch)
@@ 550,7 550,11 @@ Learning usecases.")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
- (base32 "1yv90f28c9w34430xjwvn1lzxdylvp1zi6b02cx7crla6qkvrzn5"))))
+ (base32 "0pc6y4g1l7pc8mfqdpg020613gksb4vpipn67wnvamn0q64j9j7r"))
+ (modules '((guix build utils)))
+ (snippet
+ ;; Do not use bundled eigen.
+ '(delete-file-recursively "third_party/eigen"))))
(build-system pyproject-build-system)
(arguments
(list
@@ 573,8 577,7 @@ Learning usecases.")
(native-inputs (list pybind11
python-absl-py
python-pytest
- python-setuptools
- python-wheel))
+ python-setuptools))
(home-page "https://github.com/jax-ml/ml_dtypes")
(synopsis "NumPy dtype extensions used in machine learning")
(description