This includes this week's CEF 118.

glext, which contains only header files, now builds only a single common
package instead of platform-specific ones. But as long as we retain the
platform-specific URLs, autobuild will continue to prefer those over the
common platform. Remove all platform-specific glext package entries.

This reverts commit 996ea03d.

Update libxml2 to release v2.9.4.7476681.
Update minizip-ng to release v3.0.2.3e9876e.
Update colladadom to release v2.3.d1ef72a.

Update boost to release v1.81-90bb2df.
Update googlemock to release v1.7.0.77bba00.

Not colladadom: a GHA build of something upstream of it produced Mac link
errors seemingly related to zst.

Not xxhash: 3p-xxhash is a private repo, needing the 'public: false' switch in
its build.yaml.

Update llphysicsextensions_source to release v1.0.d3192c1.
Update fmodstudio to release v2.02.06.8f8fce1.
Update kdu to release v7.10.4.9e770ae.
Update slvoice to release v4.10.0000.32327.5fc3fe7c.399bd0e.

Update fmodstudio to release v2.02.06.c0dea14.
Update kdu to release v7.10.4.2dc3b89.
Update slvoice to release v4.10.0000.32327.5fc3fe7c.db0dc68.

Should fix "Radio/Stream hiccups at a regular rate during playback"

```
autobuild installables edit "tracy" url="https://automated-builds-secondlife-com.s3.amazonaws.com/ct2/110561/960415/tracy-v0.7.8.578230-darwin64-578230.tar.bz2" hash="70f31fa71ecb52bd092da52e27c3ff8c"
autobuild installables edit "tracy" url="https://automated-builds-secondlife-com.s3.amazonaws.com/ct2/110562/960424/tracy-v0.7.8.578230-windows-578230.tar.bz2" hash="1dc33422939adf015db85e96c5a8276e"
autobuild installables edit "tracy" url="https://automated-builds-secondlife-com.s3.amazonaws.com/ct2/110563/960429/tracy-v0.7.8.578230-windows64-578230.tar.bz2" hash="fcc6ecece2ecb65aa36500dfa9461fb3"
```

This commit adds the HBXX64 and HBXX128 classes for use as a drop-in
replacement for the slow LLMD5 hashing class, where speed matters and
backward compatibility (with standard hashing algorithms) and/or
cryptographic hashing qualities are not required.
It also replaces LLMD5 with HBXX* in a few existing hot (well, ok, just
"warm" for some) paths meeting the above requirements, while paving the way for
future use cases, such as in the DRTVWR-559 and sibling branches where the slow
LLMD5 is used (e.g. to hash materials and vertex buffer cache entries), and
could be use such a (way) faster algorithm with very significant benefits and
no negative impact.

Here is the comment I added in indra/llcommon/hbxx.h:

// HBXXH* classes are to be used where speed matters and cryptographic quality
// is not required (no "one-way" guarantee, though they are likely not worst in
// this respect than MD5 which got busted and is now considered too weak). The
// xxHash code they are built upon is vectorized and about 50 times faster than
// MD5. A 64 bits hash class is also provided for when 128 bits of entropy are
// not needed. The hashes collision rate is similar to MD5's.
// See https://github.com/Cyan4973/xxHash#readme for details.

This commit adds the HBXX64 and HBXX128 classes for use as a drop-in
replacement for the slow LLMD5 hashing class, where speed matters and
backward compatibility (with standard hashing algorithms) and/or
cryptographic hashing qualities are not required.
It also replaces LLMD5 with HBXX* in a few existing hot (well, ok, just
"warm" for some) paths meeting the above requirements, while paving the way for
future use cases, such as in the DRTVWR-559 and sibling branches where the slow
LLMD5 is used (e.g. to hash materials and vertex buffer cache entries), and
could be use such a (way) faster algorithm with very significant benefits and
no negative impact.

Here is the comment I added in indra/llcommon/hbxx.h:

// HBXXH* classes are to be used where speed matters and cryptographic quality
// is not required (no "one-way" guarantee, though they are likely not worst in
// this respect than MD5 which got busted and is now considered too weak). The
// xxHash code they are built upon is vectorized and about 50 times faster than
// MD5. A 64 bits hash class is also provided for when 128 bits of entropy are
// not needed. The hashes collision rate is similar to MD5's.
// See https://github.com/Cyan4973/xxHash#readme for details.

Same apr suit version, but with debug symbols