bytearray slice assignment for bytes-like object is much slower than that for bytearray

Bug report

bytearray slice assignment for bytes-like object is much slower than that for bytearray

On my machine:
python -m timeit -s "a=bytearray(4096);b=b'x'*1024;" "a[:1024]=b"
1000000 loops, best of 5: 296 nsec per loop
python -m timeit -s "a=bytearray(4096);b=memoryview(b'x'*1024);" "a[:1024]=b"
1000000 loops, best of 5: 293 nsec per loop
python -m timeit -s "a=bytearray(4096);b=bytearray(b'x'*1024);" "a[:1024]=b"
5000000 loops, best of 5: 80.4 nsec per loop

On official Python playground(https://www.python.org/shell/):
import timeit
timeit.main(["-s", "a=bytearray(4096);b=b'x'*1024;", "a[:1024]=b"])
1000000 loops, best of 5: 272 nsec per loop
timeit.main(["-s", "a=bytearray(4096);b=memoryview(b'x'*1024);", "a[:1024]=b"])
1000000 loops, best of 5: 268 nsec per loop
timeit.main(["-s", "a=bytearray(4096);b=bytearray(b'x'*1024);", "a[:1024]=b"])
5000000 loops, best of 5: 78.8 nsec per loop

Your environment

• CPython versions tested on: 3.11.1
• Operating system and architecture: Windows 10 22H2 x86-64

Linked PRs

• gh-101445

Empieza reproduciendo los tres benchmarks de python -m timeit indicados en el issue con la versión de CPython especificada y compara los casos de bytearray, bytes y memoryview. Revisa el PR enlazado gh-101445 para consultar el trabajo ya asociado con este issue; la solución debe abordar la diferencia de rendimiento reportada sin introducir regresiones en el comportamiento de asignación de slices.