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Sei Lisa 2408e6e6fe Raise resource limits; raise them again in case of exception 
The limits were too low to be reasonable with more modern versions of Python.

Double exceptions were possible. Make use of soft/hard limits; raise the soft limit in case of exception. That should make it less likely to get a double exception.

Per bug report by @LeonaMorro (thanks!)

Fixes GitHub issue report #9 (fix #9).
2019-10-11 20:15:52 +02:00
lslopt Handle llGetLinkName with invalid values 2019-10-11 19:38:28 +02:00
pcpp@ed3b3f02e8 Update to latest pcpp (fixes __LINE__) 2019-01-18 16:46:12 +01:00
unit_tests Fix optimization of fn > -1 and fn < 0 when fn's minimum is -1 in conditions 2019-07-16 01:58:19 +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, new OBJECT_* constants 2019-06-23 13:33:02 +02:00
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 Raise resource limits; raise them again in case of exception 2019-10-11 20:15:52 +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/