This was brought up a bit in python#69009 but the larger issue is mostly
different.

Generally comparable perf for the "good" case where memchr doesn't
return any collisions (false matches on lower byte) but clearly faster
with collisions.

Some notes on correctness:

wchar_t being signed/unsigned shouldn't matter here BUT wmemchr (along
with just about all the other wide-char string functions) can and
often does (x86_64 for example) assume that the input is aligned
relative to the sizeof(wchar_t). If this is not the case for
Py_UCS{2|4} then this patch is broken.

Also I think the way I implemented `#define STRINGLIB_FAST_MEMCHR` for
ucs{2|4}lib break strict-aliasing. If this is an issue but otherwise
the patch is fine, any suggestions for how to fix it?

Test results:
```
$> ./python -m test -j4
...
== Tests result: SUCCESS ==

406 tests OK.

30 tests skipped:
    test_bz2 test_curses test_dbm_gnu test_dbm_ndbm test_devpoll
    test_idle test_ioctl test_kqueue test_launcher test_msilib
    test_nis test_ossaudiodev test_readline test_smtpnet
    test_socketserver test_sqlite3 test_startfile test_tcl test_tix
    test_tk test_ttk_guionly test_ttk_textonly test_turtle
    test_urllib2net test_urllibnet test_winconsoleio test_winreg
    test_winsound test_xmlrpc_net test_zipfile64
```

Benchmarked on:
model name	: 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz

sizeof(wchar_t) == 4

GLIBC 2.35

```
./python -m timeit -s 's = "\U00010200\U00010201\U00010202\U00010203\U00010204\U00010205\U00010206\U00010207\U00010208\U00010209\U0001020a\U0001020b\U0001020c\U0001020d\U0001020e\U0001020f" * 200 + "\U00018200"' -- 's.find("\U00018210")' ## Long, No match, No collision
No wmemchr  : 1000 loops, best of 100: 127 nsec per loop
With wmemchr: 1000 loops, best of 100: 123 nsec per loop

./python -m timeit -s 's = "\U00010200\U00010201\U00010202\U00010203\U00010204\U00010205\U00010206\U00010207\U00010208\U00010209\U0001020a\U0001020b\U0001020c\U0001020d\U0001020e\U0001020f" * 200 + "\U00018200"' -- 's.find("\U00018208")' ## Long, No match, High collision
No wmemchr  : 1000 loops, best of 100: 1.29 usec per loop
With wmemchr: 1000 loops, best of 100: 123 nsec per loop

./python -m timeit -s 's = "\U00010200\U00010201\U00010202\U00010203\U00010204\U00010205\U00010206\U00010207\U00010208\U00010209\U0001020a\U0001020b\U0001020c\U0001020d\U0001020e\U0001020f" * 200 + "\U00018210"' -- 's.find("\U00018210")' ## Long, match, No collision
No wmemchr  : 1000 loops, best of 100: 136 nsec per loop
With wmemchr: 1000 loops, best of 100: 130 nsec per loop

./python -m timeit -s 's = "\U00010200\U00010201\U00010202\U00010203\U00010204\U00010205\U00010206\U00010207\U00010208\U00010209\U0001020a\U0001020b\U0001020c\U0001020d\U0001020e\U0001020f" * 200 + "\U00018208"' -- 's.find("\U00018208")' ## Long, match, High collision
No wmemchr  : 1000 loops, best of 100: 1.35 usec per loop
With wmemchr: 1000 loops, best of 100: 131 nsec per loop

./python -m timeit -s 's = "\U00010200\U00010201\U00010202\U00010203\U00010204\U00010205\U00010206\U00010207\U00010208\U00010209\U0001020a\U0001020b\U0001020c\U0001020d\U0001020e\U0001020f" * 3 + "\U00018200"' -- 's.find("\U00018210")' ## Short, No match, No collision
No wmemchr  : 1000 loops, best of 100: 50.2 nsec per loop
With wmemchr: 1000 loops, best of 100: 52.9 nsec per loop

./python -m timeit -s 's = "\U00010200\U00010201\U00010202\U00010203\U00010204\U00010205\U00010206\U00010207\U00010208\U00010209\U0001020a\U0001020b\U0001020c\U0001020d\U0001020e\U0001020f" * 3 + "\U00018200"' -- 's.find("\U00018208")' ## Short, No match, High collision
No wmemchr  : 1000 loops, best of 100: 69.1 nsec per loop
With wmemchr: 1000 loops, best of 100: 53.7 nsec per loop

./python -m timeit -s 's = "\U00010200\U00010201\U00010202\U00010203\U00010204\U00010205\U00010206\U00010207\U00010208\U00010209\U0001020a\U0001020b\U0001020c\U0001020d\U0001020e\U0001020f" * 3 + "\U00018210"' -- 's.find("\U00018210")' ## Short, match, No collision
No wmemchr  : 1000 loops, best of 100: 53.6 nsec per loop
With wmemchr: 1000 loops, best of 100: 53.6 nsec per loop

./python -m timeit -s 's = "\U00010200\U00010201\U00010202\U00010203\U00010204\U00010205\U00010206\U00010207\U00010208\U00010209\U0001020a\U0001020b\U0001020c\U0001020d\U0001020e\U0001020f" * 3 + "\U00018208"' -- 's.find("\U00018208")' ## Short, match, High collision
No wmemchr  : 1000 loops, best of 100: 69 nsec per loop
With wmemchr: 1000 loops, best of 100: 50.9 nsec per loop
```

…ods.c

…nglib' into use-wmemchr-in-stringlib