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Sei Lisa dc655e3501 Monkey-patch some string functions in narrow string builds 
The official distribution of Python 2.7 on Windows is built with "narrow strings" (UTF-16 strings with no proper indexing or length). This makes some tests fail. "Fix" this by monkey-patching a few functions and using a wrapping unicode class, as we can't monkey-patch the actual unicode type.

This is very fragile code, but it's the best we could do given the limitations.
2022-12-11 23:22:42 +01:00
lslopt Monkey-patch some string functions in narrow string builds 2022-12-11 23:22:42 +01:00
pcpp@18d5bc4cdb Update to latest pcpp, remove expression evaluator 2020-11-04 13:09:34 +01:00
unit_tests Deal with changes in llChar, strengthen some tests 2022-12-08 13:22:54 +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 Add IfElseSwap option 2022-10-31 20:08:26 +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/