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author | zimoun <zimon.toutoune@gmail.com> | 2021-03-25 02:05:14 +0100 |
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committer | Ludovic Courtès <ludo@gnu.org> | 2021-03-29 16:47:22 +0200 |
commit | 57e034d568226b83974de817f8f09c3ba3ea2360 (patch) | |
tree | 3ee245b8fa47c63afa7a37d4938b9d9494a40a7f /gnu/packages | |
parent | 397f8c48747a3fbb76c3fe5a3a67b9eae21f9cbb (diff) | |
download | guix-57e034d568226b83974de817f8f09c3ba3ea2360.tar guix-57e034d568226b83974de817f8f09c3ba3ea2360.tar.gz |
gnu: Add julia-forwarddiff.
* gnu/packages/julia-xyz.scm (julia-forwarddiff): New variable.
Signed-off-by: Ludovic Courtès <ludo@gnu.org>
Diffstat (limited to 'gnu/packages')
-rw-r--r-- | gnu/packages/julia-xyz.scm | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/gnu/packages/julia-xyz.scm b/gnu/packages/julia-xyz.scm index b526306984..9a414fc739 100644 --- a/gnu/packages/julia-xyz.scm +++ b/gnu/packages/julia-xyz.scm @@ -592,6 +592,38 @@ scaled by a constant factor. Consequently, they have a fixed number of digits (bits) after the decimal (radix) point.") (license license:expat))) +(define-public julia-forwarddiff + (package + (name "julia-forwarddiff") + (version "0.10.17") + (source + (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/JuliaDiff/ForwardDiff.jl") + (commit (string-append "v" version)))) + (file-name (git-file-name name version)) + (sha256 + (base32 "17xaz4v0zr46p7w873w1fwf31phdnhr0vbdym9yr4flmpzi528jw")))) + (build-system julia-build-system) + (inputs ;required for tests + `(("julia-calculus" ,julia-calculus) + ("julia-difftests" ,julia-difftests))) + (propagated-inputs + `(("julia-commonsubexpressions" ,julia-commonsubexpressions) + ("julia-diffresults" ,julia-diffresults) + ("julia-diffrules" ,julia-diffrules) + ("julia-nanmath" ,julia-nanmath) + ("julia-specialfunctions" ,julia-specialfunctions) + ("julia-staticarrays" ,julia-staticarrays))) + (home-page "https://github.com/JuliaDiff/ForwardDiff.jl") + (synopsis "Methods to take multidimensional derivatives") + (description "This package implements methods to take derivatives, +gradients, Jacobians, Hessians, and higher-order derivatives of native Julia +functions (or any callable object, really) using forward mode automatic +differentiation (AD).") + (license license:expat))) + (define-public julia-http (package (name "julia-http") |