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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/