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https://github.com/Sei-Lisa/LSL-PyOptimizer
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Add copyright notices to all files, to prepare the program for release.
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# (C) Copyright 2015 Sei Lisa. All rights reserved.
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#
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# This file is part of LSL PyOptimizer.
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#
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# LSL PyOptimizer is free software: you can redistribute it and/or
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# modify it under the terms of the GNU General Public License as
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# published by the Free Software Foundation, either version 3 of the
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# License, or (at your option) any later version.
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#
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# LSL PyOptimizer is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with LSL PyOptimizer. If not, see <http://www.gnu.org/licenses/>.
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# This module is used by the optimizer for resolving constant values.
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# The functions it implements are all functions that always return the same result when given the same input, and that have no side effects.
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# For example, llAbs() is here, but llFrand() is not, because it doesn't always return the same result.
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# This implies that functions present in this module can be precomputed if their arguments are constants.
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#
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# The functions it implements are all functions that always return the same
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# result when given the same input, and that have no side effects.
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#
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# For example, llAbs() is here, but llFrand() is not, because it doesn't always
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# return the same result.
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#
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# This implies that functions present in this module can be precomputed if
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# their arguments are constants.
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#
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# In some instances, the result can't be computed; in these cases the function
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# raises a LSLCantCompute exception that is caught by the optimizer to leave
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# the expression unchanged. For example, llBase64ToInteger("AA") returns
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# unpredictable garbage in the low bytes in LSL, so it is left unchanged.
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#
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# The JSON functions have been separated to their own module.
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import re
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from lslcommon import *
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@ -102,10 +129,16 @@ def F32(f, f32=True):
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#from array import array
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#return array('f',(f,))[0]
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# Using struct:
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#from struct import pack, unpack
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#return unpack('f', pack('f', f))[0]
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# Using ctypes:
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#from ctypes import c_float
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return c_float(f).value
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# These are other approaches that are not fully debugged:
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# # Another alternative. frexp and ldexp solve a lot (but are still troublesome):
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# m, x = math.frexp(abs(f))
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# if x > 128:
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