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Sei Lisa d6162dfcf2 Remove llGetEnv tests from tests; don't generate list in list 
llGetEnv() is not computable now, so remove it from the computable functions unit test.

The test generated lists inside a list, and after the llGetEnv() change, that caused a weird side effect that hasn't been investigated (see test result of previous commit). To be on the safe side, take all list-generating results out of the list, into their own llSetPrimitiveParams call.
2023-02-03 21:47:37 +01:00
lslopt Don't try to track llGetEnv settings - it's too eror-prone 2023-02-03 14:33:29 +01:00
pcpp@18d5bc4cdb Update to latest pcpp, remove expression evaluator 2020-11-04 13:09:34 +01:00
unit_tests Remove llGetEnv tests from tests; don't generate list in list 2023-02-03 21:47:37 +01:00
.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 Add LinkSound functions and constants; disallow unstable in void 2023-02-03 12:57:58 +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 New copyright year 2023-02-03 13:06:18 +01:00
fndata.txt Add LinkSound functions and constants; disallow unstable in void 2023-02-03 12:57:58 +01:00
main.py New copyright year 2023-02-03 13:06:18 +01:00
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 New copyright year 2023-02-03 13:06:18 +01:00
strutil.py New copyright year 2023-02-03 13:06:18 +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/