@@ -1858,6 +1858,31 @@ (define-public python-gpy
machine learning algorithms based on GPs.")
(license license:bsd-3)))
+(define-public python-pyfma
+ (package
+ (name "python-pyfma")
+ (version "0.1.6")
+ (source (origin
+ (method git-fetch) ;for tests
+ (uri (git-reference
+ (url "https://github.com/nschloe/pyfma")
+ (commit version)))
+ (file-name (git-file-name name version))
+ (sha256
+ (base32
+ "12i68jj9n1qj9phjnj6f0kmfhlsd3fqjlk9p6d4gs008azw5m8yn"))))
+ (build-system pyproject-build-system)
+ (propagated-inputs (list python-numpy))
+ (native-inputs (list pybind11 python-pytest))
+ (home-page "https://github.com/nschloe/pyfma")
+ (synopsis "Fused multiply-add for Python")
+ (description "@code{pyfma} provides an implementation of fused
+multiply-add which computes @code{(x*y) + z} with a single rounding.
+This is useful for dot products, matrix multiplications, polynomial
+evaluations (e.g., with Horner's rule), Newton's method for evaluating
+functions, convolutions, artificial neural networks etc.")
+ (license license:expat)))
+
(define-public python-pydicom
(package
(name "python-pydicom")