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A test executable on a GitHub Windows runner failed with C00000FD, which
reports stack overflow.
(cherry picked from commit aab7b4ba3812e5876b1205285bcfd8cff96bcac9)
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Add DEBUG log output to try to diagnose.
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LL_USE_SYSTEM_RAND has been disabled since June 2008; that code only clutters
the implementation we actually use.
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Normalize the case of the name of the temp directory for string comparison.
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Turns out that the pathname of the Python executable wasn't the issue.
This reverts commit 7dc6211ad5ea83685a35c6fff740278343aa8b9d.
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On GitHub Windows runners, trying to make build.yaml set PYTHON=python in the
environment doesn't work: integration tests still fail with "Access is denied"
because they're still trying to execute the interpreter's full pathname.
Instead, make llprocess_test and llleap_test detect the case of GitHub Windows
and override the environment variable PYTHON with a baked-in string constant
"python".
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instead of a new value for each LLProcess::create() invocation.
Since the internal apr_log() function only looks at APR_LOG once per process,
the first test (which succeeded, hence no log file dump) left the log file
open with that same original pathname. Resetting the APR_LOG environment
variable for subsequent runs only made the new code in llprocess_test look for
files that were never created.
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Remove llcommon circular dependency on llfilesystem, which doesn't work for
this case anyway.
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Introducing indirection via test_python_script.py did NOT address the "Access
is denied" errors on GitHub Windows runners.
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improvements can lead to perceived inventory loss due to cache corruption"
This reverts commit cf692c40b0b9f8d0d04cd10a02a84e3f697a2e99.
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It's cool to be able to write 'arg1 << "stuff" << var ...;' for a lambda
accepting a std::ostream reference, but cascading compile errors mean it's no
longer worth trying to make that work -- given actual C++ lambdas.
Also clean up a lingering BOOST_FOREACH() and a boost::bind() while at it.
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It seems the problem addressed by aab769e wasn't some synergy between
Boost.Phoenix and Boost.Function, but rather the lack of a Phoenix header file
introducing operator<<().
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On GitHub Windows Actions runners, we're getting permissions errors trying to
tell the Python interpreter to run a NamedTempFile script. Try using
NamedExtTempFile to give each such script a .py extension.
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On a low-powered GitHub Mac runner, the system doesn't wake up as soon as it
should, and we get spurious "too late" errors. Try a bigger time increment.
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# Conflicts:
# doc/contributions.txt
# indra/llcharacter/llkeyframemotion.cpp
# indra/newview/llfilepicker.cpp
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Newer C++ compilers have different semantics around LLSDArray's special copy
constructor, which was essential to proper LLSD nesting. In short, we can no
longer trust LLSDArray to behave correctly. Now that we have variadic
functions, get rid of LLSDArray and replace every reference with llsd::array().
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# Conflicts:
# indra/integration_tests/llui_libtest/CMakeLists.txt
# indra/newview/llfloateravatarrendersettings.cpp
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# Conflicts:
# indra/cmake/CMakeLists.txt
# indra/newview/skins/default/xui/es/floater_tools.xml
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lead to perceived inventory loss due to cache corruption
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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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As it happens, the change in the LLUUID::combine() algorithm introduced by one
of my previous commits is causing invalid assets creation (seen with
some clothing items, such as Shape and Universal types); obviously, the server
is using the old algorithm for UUID validation purpose of these assets.
This commit reverts LLUUID::combine() code to use LLMD5.
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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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# Conflicts:
# doc/contributions.txt
# 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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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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