Hi Paul, the problem you reported hasn't been solved yet and the
snapshot is just a snapshot in time of the repo.

Looking at the logs, I only see the following gamma change that occurs
between 4.2.0 and 4.3.0:

commit ec69debcb977d6395f9e91ee20133de473484e20
Author: Andoni Arregi <andoni.arregui@gtd-gmbh.de>
Date:   Fri Feb 11 12:16:00 2022 +0100

    Improve lgammaf range for very small cases

    The original cut for small arguments at |x|<2**-70 (copied from the
    double version) produces that when computing nadj we get a subnormal
    number for t*x and thus, the division of pi/subnormal will be INF and
    the logarithm of it too, which is wrong as a result for lgammaf in this
    range.
    The proposed new limit seems to be safe and has been tested to
    produce accurate results.
    (Courtesy of Andreas Jung, ESA)

I don't think this should have caused the regression you are seeing with -1
as input, but can you confirm
if it is?  Otherwise, can you use the git bisect in concert with your test
to determine the
source of the regression?

Thanks,

-- Jeff J.

On Thu, Jan 4, 2024 at 11:03 AM Paul Zimmermann <Paul.Zimmermann@inria.fr>
wrote:

>        Hi Jeff,
>
> for what concerns the accuracy of math functions, the issue with huge error
> in pow (https://sourceware.org/pipermail/newlib/2023/020164.html) seems to
> have been fixed in 4.4.0, thanks!
>
> However, the regression for tgammaf(-1) with respect to 4.2.0 is still
> there:
> https://sourceware.org/pipermail/newlib/2023/020170.html.
>
> Happy New Year,
> Paul Zimmermann
>
> > From: Jeff Johnston <jjohnstn@redhat.com>
> > Date: Sun, 31 Dec 2023 12:23:22 -0500
> >
> >
> > [1:text/plain Show]
> >
> >
> > [2:text/html Hide Save:noname (879B)]
> >
> > The 4.4.0 snapshot has been created and uploaded to the ftp site.  For
> > details on changes, see the NEWS file.
> >
> > If there are any issues, I'll have to deal with them in the New Year.
> >
> > Thanks everyone for contributing last minute changes to handle the
> > c99/gcc-14 issues and thanks to all who made contributions/reviews this
> > year.  Special thanks to Corinna for leading the project and reviewing
> the
> > lion's share of the code.
> >
> > Happy New Year everyone,
> >
> > -- Jeff J.
>
>