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Sei Lisa 00b103c8aa Simplify v*q, make q*q more accurate, add q*q and q/q unit tests 
vector * quaternion: Simplified by precalculating the repeated products and removing math.fsum.

quaternion * quaternion: Add more F32's to get a result closer to SL's (still not there, but we're definitively closer now).

We left out quaternion/quaternion in the tests, and the q*q test was not general enough (had many zeros). Remedied that.
2019-05-23 01:57:27 +02:00
lslopt Simplify v*q, make q*q more accurate, add q*q and q/q unit tests 2019-05-23 01:57:27 +02:00
pcpp@ed3b3f02e8 Update to latest pcpp (fixes __LINE__) 2019-01-18 16:46:12 +01:00
unit_tests Simplify v*q, make q*q more accurate, add q*q and q/q unit tests 2019-05-23 01:57:27 +02:00
.gitignore Add the outfile.tmp file generated by a test to .gitignore 2019-01-15 23:22:02 +01:00
.gitmodules Don't report pcpp as modified if it has untracked files 2019-01-12 20:33:52 +01:00
builtins-unittest.txt Get rid of builtins.txt.dat by adding a parameter to the parser ctor. 2015-07-09 20:35:14 +02:00
builtins.txt New upstream version of builtins.txt 2019-02-23 02:06:03 +01:00
COPYING Add copyright notices to all files, to prepare the program for release. 2015-03-05 23:18:41 +01:00
cpreproc.py Fix non-compliance problem with octal/hex literals without U suffix 2019-01-21 16:28:15 +01:00
fndata.txt Add missing functions to fndata.txt 2019-02-08 18:30:33 +01:00
main.py The encoding of sys.stderr can exist and be None. 2019-05-01 01:22:54 +02:00
README.md Update link to point to lsl.blacktulip-virtual.com instead of lsl.project.zone 2018-01-18 15:41:28 +01:00
run-tests.py Allow returning void expressions where state changes are allowed 2019-05-01 04:28:58 +02:00
strutil.py Style fixes 2019-02-04 00:07:12 +01:00

README.md

LSL PyOptimizer

LSL PyOptimizer is a LSL2 script optimizer written in Python 2. Currently it only supports code memory optimization (no speed optimization), only for Mono (no LSO), and only for the Second Life flavour of LSL (no OpenSim etc.).

HTML introduction, list of features and documentation available at http://lsl.blacktulip-virtual.com/lsl-pyoptimizer/