- Separate library loading code into a new module. parser.__init__() no longer loads the library; it accepts (but does not depend on) a library as a parameter.
- Add an optional library argument to parse(). It's no longer mandatory to create a new parser for switching to a different builtins or seftable file.
- Move warning() and types from lslparse to lslcommon.
- Add .copy() to uses of base_keywords, to not rely on it being a frozen set.
- Adjust the test suite.
No other functional changes. This required quite some reorganization affecting many files. As a side effect, PythonType2LSL and LSLType2Python aren't duplicate anymore.
llAbs(-2147483648) raises this:
System.OverflowException: Value is too small.
at System.Math.Abs (Int32 value) [0x00000] in <filename unknown>:0
at LindenLab.SecondLife.Library.llAbs (Int32 i) [0x00000] in <filename unknown>:0
So it's actually not computable. In LSO it returns -2147483648, though.
Instead of using an option in the command line, use a global in lslcommon, settable by the main program (only the main LSLCalc program, which differs from LSL-PyOptimizer's main, changes it).
LSO strings are byte arrays, but our strings are made for Mono which uses Unicode, and invalid UTF-8 sequences can't be stored in Unicode without using a custom representation.
One possible representation is to only use the codepoints 0-255 in the Unicode string, to avoid supporting multiple types for strings. Something to study in future.
- Parser and output modules are thoroughly tested and working.
- Most LSL immutable functions are working; some not tested; llJsonSetValue not implemented.
- Parser recognizes the following flags that alter syntax:
extendedglobalexpr: Allow full expression syntax in globals.
extendedtypecast: Allow full unary expressions in typecasts e.g. (float)~i.
extendedassignment: Enable the C assignment operators &=, ^=, |=, <<=, >>=.
explicitcast: Add explicit casts wherever they are done implicitly, e.g. float f=3; -> float f=(float)3;.
Of them, only extendedglobalexpr is useless so far, as it requires the optimizer to be working.
