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been built after merging with master (and VS 2022 for Collada DOM).
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reference to Linux version of ColladaDOM - out of date, we don't have a newer build and it's making the Readiness Report sad.
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about the NanoSVG package - I didn't think it's analysis applied to Linux 3p packages but maybe it does
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for all 3 platforms/bit widths (580295) - previously, the macOS version was different and the DRTVWR Readiness Script got sad about it
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Update boost to release v1.81-90bb2df.
Update googlemock to release v1.7.0.77bba00.
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enable github actions mac nightly builds
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errors (#194)
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failure to upload PBDs - this means we need to upload symbols for this build to Bugsplat manually if we want meaningful crash reports
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in TLS on 2023-04-11
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eventually ends up in the Credits panel of Help->About - new 3p viewer fonts package
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for each language that the viewer supports except sadly, Turkish which is not available so far
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# Conflicts:
# indra/cmake/CMakeLists.txt
# indra/llcommon/llsdserialize.cpp
# indra/llcommon/llsdserialize.h
# indra/llcommon/tests/llleap_test.cpp
# indra/newview/llfilepicker.h
# indra/newview/llfilepicker_mac.h
# indra/newview/llfilepicker_mac.mm
# indra/newview/skins/default/xui/en/strings.xml
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DRTVWR-489-emoji (identical to VS 2019) but lines up the branches for the otehr 3P packages this work uses
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gigantic CMake patch. Sadly, my macOS box updated to Xcode14.3 overnight and that caused many warnings/errors with variables being initialized and then used but not in a way that affected anything.. Building on Xcode 14.3 also requires that MACOSX_DEPLOYMENT_TARGET be set to > 10.13. Waiting on a decision about that but checking this in in the meantime. Builds on macOS with appropriate build variables set for MACOSX_DEPLOYMENT_TARGET = 10.14 but not really expecting this to build in TC because (REDACTED). Windows version probably hopelessly broken - switching to that now.
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replaced by std::unique_ptr so it builds on modern mac systems
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# Conflicts:
# indra/cmake/CMakeLists.txt
# indra/newview/skins/default/xui/es/floater_tools.xml
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Should fix "Radio/Stream hiccups at a regular rate during playback"
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# Conflicts:
# indra/cmake/Copy3rdPartyLibs.cmake
# indra/cmake/FindOpenJPEG.cmake
# indra/cmake/OpenJPEG.cmake
# indra/integration_tests/llui_libtest/CMakeLists.txt
# indra/newview/CMakeLists.txt
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perfomance SL-18563
```
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"
```
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# Conflicts:
# indra/llcommon/llsdserialize.cpp
# indra/llcommon/llsdserialize.h
# indra/newview/llfilepicker.h
# indra/newview/llfilepicker_mac.h
# indra/newview/llfilepicker_mac.mm
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speed matters. (#64)
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.
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speed matters. (#64)
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.
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to Python3 so that it builds on macOS in TeamCity
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dlls in the right place for the Windows builds
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'missing' Tweenmoji SVG font
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copies over the Windows DLLs as part of the build process
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2017 like everything else. The work to do this is large and we are switching soon to VS 2022 so this will do for now
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3p library changes for steps 1-5 (boost, colladom, googlemock, nanosvg, viewer-fonts) - final 3p change (ICU4C) coming later
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# Conflicts:
# autobuild.xml
# indra/newview/llagent.cpp
# indra/newview/llimview.cpp
# indra/newview/llimview.h
# indra/newview/llinventoryfunctions.cpp
# indra/newview/llpanelmediasettingsgeneral.cpp
# indra/newview/pipeline.cpp
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