math: Use sinh from CORE-MATH

math: Use sinh from CORE-MATH

The current implementation precision shows the following accuracy, on
three ranges ([-DBL_MAX,-10], [-10,10], [10,DBL_MAX]) with 10e9 uniform
randomly generated numbers for each range (first column is the
accuracy in ULP, with '0' being correctly rounded, second is the
number of samples with the corresponding precision):

* Range [-DBL_MAX, -10]
 * FE_TONEAREST
     0:      10000000000 100.00%
 * FE_UPWARD
     0:      10000000000 100.00%
 * FE_DOWNWARD
     0:      10000000000 100.00%
 * FE_TOWARDZERO
     0:      10000000000 100.00%

* Range [-10, -10]
 * FE_TONEAREST
     0:       3169388892  73.79%
     1:       1125270674  26.20%
     2:           307729   0.01%
 * FE_UPWARD
     0:       1450068660  33.76%
     1:       2146926394  49.99%
     2:        697404986  16.24%
     3:           567255   0.01%
 * FE_DOWNWARD
     0:       1449727976  33.75%
     1:       2146957381  49.99%
     2:        697719649  16.25%
     3:           562289   0.01%
 * FE_TOWARDZERO
     0:       2519351889  58.66%
     1:       1773434502  41.29%
     2:          2180904   0.05%

* Range [10, DBL_MAX]
 * FE_TONEAREST
     0:      10000000000 100.00%
 * FE_UPWARD
     0:      10000000000 100.00%
 * FE_DOWNWARD
     0:      10000000000 100.00%
 * FE_TOWARDZERO
     0:      10000000000 100.00%

The CORE-MATH implementation is correctly rounded for any rounding mode.
The code was adapted to glibc style and to use the definition of
math_config.h (to handle errno, overflow, and underflow).

Performance-wise, it shows:

latency                      master        patched        improvement
x86_64                     101.0710       129.4710            -28.10%
x86_64v2                   101.1810       127.6370            -26.15%
x86_64v3                    96.0685        48.5911             49.42%
aarch64                     41.4229        22.3971             45.93%
armhf-vpfv4                 42.8620        25.6011             40.27%
powerpc64le                 29.2630        13.1450             55.08%

reciprocal-throughput        master        patched        improvement
x86_64                      42.6895       105.7150           -147.64%
x86_64v2                    42.7255       104.7480           -145.17%
x86_64v3                    39.6949        25.9087             34.73%
aarch64                     26.0104        19.2236             26.09%
armhf-vpfv4                 29.4362        23.6350             19.71%
powerpc64le                 12.9170        8.34582             35.39%

* x86_64:        gcc version 15.2.1 20260112, Ryzen 9 5900X, --disable-multi-arch
* aarch64:       gcc version 15.2.1 20251105, Neoverse-N1
* armv7a-vpfv4:  gcc version 15.2.1 20251105, Neoverse-N1
* powerpc64le:   gcc version 15.2.1 20260128, POWER10

Checked on x86_64-linux-gnu, aarch64-linux-gnu, and
powerpc64le-linux-gnu.

Reviewed-by: DJ Delorie <dj@redhat.com>