Go to file

Sei Lisa 173a12be15 New feature: add preprocessor params before or after system's

Reverts f958b1cdf9, and adds the possibility of adding parameters after the system-inserted ones through a new command line parameter -A/--postarg.

Enables using e.g. both a command interpreter which requires the file to execute before any other parameters, and overriding the default definitions.

2019-01-16 19:19:27 +01:00

lslopt

First baby steps towards dual Python2+3 compatibility

2019-01-16 00:15:06 +01:00

pcpp @ 275958be6e

Update PCPP with latest fixes

2019-01-13 19:33:13 +01:00

unit_tests

First baby steps towards dual Python2+3 compatibility

2019-01-16 00:15:06 +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

Upstream version of builtins.txt; update fndata.txt

2018-12-08 19:30:26 +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

Fix bug in type conciliation function

2019-01-15 01:22:44 +01:00

fndata.txt

Check min and max to determine truth value of condition

2019-01-07 00:15:38 +01:00

main.py

New feature: add preprocessor params before or after system's

2019-01-16 19:19:27 +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

First baby steps towards dual Python2+3 compatibility

2019-01-16 00:15:06 +01:00

strutil.py

First baby steps towards dual Python2+3 compatibility

2019-01-16 00:15:06 +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/