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Date:      Wed, 27 Aug 2025 16:01:01 +0000
From:      bugzilla-noreply@freebsd.org
To:        python@FreeBSD.org
Subject:   [Bug 268348] math/py-numpy: introduce FORTRAN / NOBLAS options
Message-ID:  <bug-268348-21822-SARCChMAgY@https.bugs.freebsd.org/bugzilla/>
In-Reply-To: <bug-268348-21822@https.bugs.freebsd.org/bugzilla/>
References:  <bug-268348-21822@https.bugs.freebsd.org/bugzilla/>

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https://bugs.freebsd.org/bugzilla/show_bug.cgi?id=3D268348

Charlie Li <vishwin@freebsd.org> changed:

           What    |Removed                     |Added
----------------------------------------------------------------------------
             Status|Open                        |Closed
         Resolution|---                         |Not Accepted

--- Comment #18 from Charlie Li <vishwin@freebsd.org> ---
(In reply to Franco Fichtner from comment #17)
Pandas is also not meant to run in constricted environments. Considering
similar use cases and userbases, Fortran support is transitively fundamenta=
l to
Pandas.

As mentioned before, the GCC dependency itself is not numpy's problem. flang
(part of devel/llvm) exists to try (including working it into USES=3Dfortra=
n in
some manner) if there is continued fretting over the runtime dependency
(everything built with GCC must use GCC runtime libraries), but note that f=
lang
upstream admit there may be missing functionality.

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