#!/usr/bin/env python ################################################## ## DEPENDENCIES import sys import os import os.path try: import builtins as builtin except ImportError: import __builtin__ as builtin from os.path import getmtime, exists import time import types from Cheetah.Version import MinCompatibleVersion as RequiredCheetahVersion from Cheetah.Version import MinCompatibleVersionTuple as RequiredCheetahVersionTuple from Cheetah.Template import Template from Cheetah.DummyTransaction import * from Cheetah.NameMapper import NotFound, valueForName, valueFromSearchList, valueFromFrameOrSearchList from Cheetah.CacheRegion import CacheRegion import Cheetah.Filters as Filters import Cheetah.ErrorCatchers as ErrorCatchers from xpdeint.ScriptElement import ScriptElement ################################################## ## MODULE CONSTANTS VFFSL=valueFromFrameOrSearchList VFSL=valueFromSearchList VFN=valueForName currentTime=time.time __CHEETAH_version__ = '2.4.4' __CHEETAH_versionTuple__ = (2, 4, 4, 'development', 0) __CHEETAH_genTime__ = 1413234540.935407 __CHEETAH_genTimestamp__ = 'Tue Oct 14 08:09:00 2014' __CHEETAH_src__ = '/Users/graham/Library/XMDS/src/xmds2/admin/staging/xmds-2.2.2/xpdeint/Stochastic/RandomVariables/GaussianRandomVariable.tmpl' __CHEETAH_srcLastModified__ = 'Sat Feb 4 18:39:07 2012' __CHEETAH_docstring__ = 'Autogenerated by Cheetah: The Python-Powered Template Engine' if __CHEETAH_versionTuple__ < RequiredCheetahVersionTuple: raise AssertionError( 'This template was compiled with Cheetah version' ' %s. Templates compiled before version %s must be recompiled.'%( __CHEETAH_version__, RequiredCheetahVersion)) ################################################## ## CLASSES class GaussianRandomVariable(ScriptElement): ################################################## ## CHEETAH GENERATED METHODS def __init__(self, *args, **KWs): super(GaussianRandomVariable, self).__init__(*args, **KWs) if not self._CHEETAH__instanceInitialized: cheetahKWArgs = {} allowedKWs = 'searchList namespaces filter filtersLib errorCatcher'.split() for k,v in KWs.items(): if k in allowedKWs: cheetahKWArgs[k] = v self._initCheetahInstance(**cheetahKWArgs) def splitNoise(self, function, **KWS): """ Return the code to generate a new smaller gaussian noise from a previous noise. The previous noise had a time step of ``old_smallest_step`` a variable available in the C code, not in the template itself. """ ## CHEETAH: generated from @def splitNoise($function) at line 24, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # noiseVector = VFFSL(SL,"parent",True) # write(u'''// Split a gaussian noise ''') # Generate a new noise of the appropriate variance _v = VFN(VFN(VFFSL(SL,"noiseVector",True),"functions",True)['evaluate'],"call",False)(_step = '(_new_step * _old_step)/(_old_step - _new_step)') # u"${noiseVector.functions['evaluate'].call(_step = '(_new_step * _old_step)/(_old_step - _new_step)')}" on line 36, col 1 if _v is not None: write(_filter(_v, rawExpr=u"${noiseVector.functions['evaluate'].call(_step = '(_new_step * _old_step)/(_old_step - _new_step)')}")) # from line 36, col 1. write(u''' ''') # Then add the old noise. # When adding the old noise, the first step is to get a pointer to the old noise itself. # This pointer is called _old_${noiseVector.id} write(u'''// Now complete creation of the new noise. ''') # Now do the actual adding. This code creates a loop over the noiseVector # adding the old vector at each point. _v = VFFSL(SL,"loopOverVectorsWithInnerContentTemplate",False)([VFFSL(SL,"noiseVector",True)], """_active_${vector.id}[$index] += _old_array[$index]; """, basis = noiseVector.initialBasis) if _v is not None: write(_filter(_v, autoIndent=True, rawExpr=u'${loopOverVectorsWithInnerContentTemplate([$noiseVector], \n"""_active_${vector.id}[$index] += _old_array[$index];\n""", basis = noiseVector.initialBasis), autoIndent=True}')) # from line 45, col 1. write(u''' ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def makeNoises(self, **KWS): ## CHEETAH: generated from @def makeNoises at line 52, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # Subclasses can implement makeFixedVarianceNoises and the parent will fix up the noises. # Alternatively, subclasses may implement makeNoises if they can do the entire thing correctly. noiseVector = VFFSL(SL,"parent",True) # write(u'''const real _var = ''') _v = {'complex': 0.5, 'real': 1.0}[noiseVector.type] # u"${{'complex': 0.5, 'real': 1.0}[noiseVector.type]}" on line 58, col 19 if _v is not None: write(_filter(_v, rawExpr=u"${{'complex': 0.5, 'real': 1.0}[noiseVector.type]}")) # from line 58, col 19. write(u''' / (''') _v = VFFSL(SL,"noiseVector.spatiallyIndependentVolumeElement",True) # u'${noiseVector.spatiallyIndependentVolumeElement}' on line 58, col 73 if _v is not None: write(_filter(_v, rawExpr=u'${noiseVector.spatiallyIndependentVolumeElement}')) # from line 58, col 73. if not noiseVector.static: # generated from line 59, col 3 write(u'''* _step''') write(u'''); ''') _v = VFFSL(SL,"makeFixedVarianceNoises",True) # u'${makeFixedVarianceNoises}' on line 64, col 1 if _v is not None: write(_filter(_v, rawExpr=u'${makeFixedVarianceNoises}')) # from line 64, col 1. # nonUniformDimReps = noiseVector.nonUniformDimReps if nonUniformDimReps: # generated from line 67, col 3 ## START CAPTURE REGION: _64093251 loopString at line 68, col 5 in the source. _orig_trans_64093251 = trans _wasBuffering_64093251 = self._CHEETAH__isBuffering self._CHEETAH__isBuffering = True trans = _captureCollector_64093251 = DummyTransaction() write = _captureCollector_64093251.response().write fixupString = ' * '.join(''.join([str(VFFSL(SL,"dimRep.stepSizeArrayName",True)),u'_invsqrt[',str(VFFSL(SL,"dimRep.index",True)),u' + ',str(VFFSL(SL,"dimRep.localOffset",True)),u']']) for dimRep in nonUniformDimReps) for component in noiseVector.components: # generated from line 70, col 7 _v = VFFSL(SL,"component",True) # u'${component}' on line 71, col 1 if _v is not None: write(_filter(_v, rawExpr=u'${component}')) # from line 71, col 1. write(u''' *= ''') _v = VFFSL(SL,"fixupString",True) # u'${fixupString}' on line 71, col 17 if _v is not None: write(_filter(_v, rawExpr=u'${fixupString}')) # from line 71, col 17. write(u'''; ''') trans = _orig_trans_64093251 write = trans.response().write self._CHEETAH__isBuffering = _wasBuffering_64093251 loopString = _captureCollector_64093251.response().getvalue() del _orig_trans_64093251 del _captureCollector_64093251 del _wasBuffering_64093251 _v = VFFSL(SL,"loopOverFieldInBasisWithVectorsAndInnerContent",False)(noiseVector.field, noiseVector.initialBasis, [noiseVector], loopString) # u'${loopOverFieldInBasisWithVectorsAndInnerContent(noiseVector.field, noiseVector.initialBasis, [noiseVector], loopString)}' on line 74, col 1 if _v is not None: write(_filter(_v, rawExpr=u'${loopOverFieldInBasisWithVectorsAndInnerContent(noiseVector.field, noiseVector.initialBasis, [noiseVector], loopString)}')) # from line 74, col 1. # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def writeBody(self, **KWS): ## CHEETAH: main method generated for this template trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # # GaussianRandomVariable.tmpl # # Created by Joe Hope on 2009-08-20. # # Copyright (c) 2009-2012, Joe Hope # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see . # write(u''' ''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" ################################################## ## CHEETAH GENERATED ATTRIBUTES _CHEETAH__instanceInitialized = False _CHEETAH_version = __CHEETAH_version__ _CHEETAH_versionTuple = __CHEETAH_versionTuple__ _CHEETAH_genTime = __CHEETAH_genTime__ _CHEETAH_genTimestamp = __CHEETAH_genTimestamp__ _CHEETAH_src = __CHEETAH_src__ _CHEETAH_srcLastModified = __CHEETAH_srcLastModified__ _mainCheetahMethod_for_GaussianRandomVariable= 'writeBody' ## END CLASS DEFINITION if not hasattr(GaussianRandomVariable, '_initCheetahAttributes'): templateAPIClass = getattr(GaussianRandomVariable, '_CHEETAH_templateClass', Template) templateAPIClass._addCheetahPlumbingCodeToClass(GaussianRandomVariable) # CHEETAH was developed by Tavis Rudd and Mike Orr # with code, advice and input from many other volunteers. # For more information visit http://www.CheetahTemplate.org/ ################################################## ## if run from command line: if __name__ == '__main__': from Cheetah.TemplateCmdLineIface import CmdLineIface CmdLineIface(templateObj=GaussianRandomVariable()).run()