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Sei Lisa e3c1634724 Fix regression introduced with the latest changes to loadlib 
In Python 2, function type names from buiiltins.txt were entered into the tables as Unicode, causing the output module to promote strings to Unicode, and causing trouble further down the line.

Entering them as str fixes the issue.

Thanks a lot to @PeterStindberg for reporting the issue and providing a script that reproduces it.

Fixes #21
2023-01-09 11:03:41 +01:00
lslopt Fix regression introduced with the latest changes to loadlib 2023-01-09 11:03:41 +01:00
pcpp@18d5bc4cdb Update to latest pcpp, remove expression evaluator 2020-11-04 13:09:34 +01:00
unit_tests Fix regression introduced with the latest changes to loadlib 2023-01-09 11:03:41 +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 new LinksetData functions and other builtins 2022-11-15 23:11:38 +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 Forgot to update copyright year 2022-06-07 19:46:31 +02:00
fndata.txt Add new LinksetData functions and other builtins 2022-11-15 23:11:38 +01:00
main.py Fix missing comma that prevented --libdata from working 2022-12-20 21:49:32 +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 Fix some discrepancies between main and run-tests 2022-12-11 18:54:48 +01:00
strutil.py Monkey-patch some string functions in narrow string builds 2022-12-11 23:22:42 +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/