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Sei Lisa 281ff4d96a Strings representing denormals no longer give 0 when cast to float 
This annoyance and discrepancy with LSO was finally fixed by Linden Lab. The change has prompted some modifications to the test suite to accommodate for the new results. A further improvement has been to make these tests more friendly to be run in SL, making it easier to verify the results.

Fixes #17.

Reported by SaladDais@users.noreply.github.com - thanks!
2022-05-17 13:48:05 +02:00
lslopt Strings representing denormals no longer give 0 when cast to float 2022-05-17 13:48:05 +02:00
pcpp@18d5bc4cdb Update to latest pcpp, remove expression evaluator 2020-11-04 13:09:34 +01:00
unit_tests Strings representing denormals no longer give 0 when cast to float 2022-05-17 13:48:05 +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 constants and functions; some refactoring of lslfuncopt 2022-05-13 14:49:18 +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 Update copyright year 2021-01-05 23:27:21 +01:00
fndata.txt New constants and functions; some refactoring of lslfuncopt 2022-05-13 14:49:18 +02:00
main.py Update copyright year 2021-01-05 23:27:21 +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 Update copyright year 2021-01-05 23:27:21 +01:00
strutil.py Update copyright year 2021-01-05 23:27:21 +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/