#!/usr/bin/env python3 ################################################## ## 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 Cheetah.compat import unicode from xpdeint.Geometry._NonUniformDimensionRepresentation import _NonUniformDimensionRepresentation ################################################## ## MODULE CONSTANTS VFFSL=valueFromFrameOrSearchList VFSL=valueFromSearchList VFN=valueForName currentTime=time.time __CHEETAH_version__ = '3.2.3' __CHEETAH_versionTuple__ = (3, 2, 3, 'final', 0) __CHEETAH_genTime__ = 1558054970.2582622 __CHEETAH_genTimestamp__ = 'Fri May 17 11:02:50 2019' __CHEETAH_src__ = '/home/mattias/xmds-2.2.3/admin/staging/xmds-3.0.0/xpdeint/Geometry/NonUniformDimensionRepresentation.tmpl' __CHEETAH_srcLastModified__ = 'Thu Apr 4 16:29:24 2019' __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 NonUniformDimensionRepresentation(_NonUniformDimensionRepresentation): ################################################## ## CHEETAH GENERATED METHODS def __init__(self, *args, **KWs): super(NonUniformDimensionRepresentation, 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 defines(self, **KWS): ## CHEETAH: generated from @def defines at line 26, 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 # if VFFSL(SL,"silent",True): # generated from line 28, col 3 return _dummyTrans and trans.response().getvalue() or "" if VFFSL(SL,"runtimeLattice",True): # generated from line 31, col 3 _v = super(NonUniformDimensionRepresentation, self).defines() if _v is not None: write(_filter(_v)) write('''#define ''') _v = VFFSL(SL,"minimum",True) # '${minimum}' on line 33, col 9 if _v is not None: write(_filter(_v, rawExpr='${minimum}')) # from line 33, col 9. write(''' (''') _v = VFFSL(SL,"arrayName",True) # '${arrayName}' on line 33, col 25 if _v is not None: write(_filter(_v, rawExpr='${arrayName}')) # from line 33, col 25. write('''[0]) #define ''') _v = VFFSL(SL,"maximum",True) # '${maximum}' on line 34, col 9 if _v is not None: write(_filter(_v, rawExpr='${maximum}')) # from line 34, col 9. write(''' (''') _v = VFFSL(SL,"arrayName",True) # '${arrayName}' on line 34, col 25 if _v is not None: write(_filter(_v, rawExpr='${arrayName}')) # from line 34, col 25. write('''[''') _v = VFFSL(SL,"globalLattice",True) # '${globalLattice}' on line 34, col 38 if _v is not None: write(_filter(_v, rawExpr='${globalLattice}')) # from line 34, col 38. write('''-1]) ''') if not VFFSL(SL,"stepSizeArray",True): # generated from line 35, col 5 write('''#define ''') _v = VFFSL(SL,"stepSize",True) # '${stepSize}' on line 36, col 9 if _v is not None: write(_filter(_v, rawExpr='${stepSize}')) # from line 36, col 9. write(''' (''') _v = VFFSL(SL,"arrayName",True) # '${arrayName}' on line 36, col 29 if _v is not None: write(_filter(_v, rawExpr='${arrayName}')) # from line 36, col 29. write('''[''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 36, col 42 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 36, col 42. write('''+1]-''') _v = VFFSL(SL,"arrayName",True) # '${arrayName}' on line 36, col 58 if _v is not None: write(_filter(_v, rawExpr='${arrayName}')) # from line 36, col 58. write('''[''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 36, col 71 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 36, col 71. write(''']) ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def globals(self, **KWS): ## CHEETAH: generated from @def globals at line 42, 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 # if VFFSL(SL,"silent",True): # generated from line 44, col 3 return _dummyTrans and trans.response().getvalue() or "" # _v = super(NonUniformDimensionRepresentation, self).globals() if _v is not None: write(_filter(_v)) # if VFFSL(SL,"runtimeLattice",True): # generated from line 50, col 3 if VFFSL(SL,"stepSizeArray",True): # generated from line 51, col 5 _v = VFFSL(SL,"type",True) # '${type}' on line 52, col 1 if _v is not None: write(_filter(_v, rawExpr='${type}')) # from line 52, col 1. write('''* ''') _v = VFFSL(SL,"stepSizeArrayName",True) # '${stepSizeArrayName}' on line 52, col 10 if _v is not None: write(_filter(_v, rawExpr='${stepSizeArrayName}')) # from line 52, col 10. write(''' = (''') _v = VFFSL(SL,"type",True) # '${type}' on line 52, col 34 if _v is not None: write(_filter(_v, rawExpr='${type}')) # from line 52, col 34. write('''*) xmds_malloc(sizeof(''') _v = VFFSL(SL,"type",True) # '${type}' on line 52, col 63 if _v is not None: write(_filter(_v, rawExpr='${type}')) # from line 52, col 63. write(''') * (''') _v = VFFSL(SL,"globalLattice",True) # '${globalLattice}' on line 52, col 75 if _v is not None: write(_filter(_v, rawExpr='${globalLattice}')) # from line 52, col 75. write(''')); ''') else: # generated from line 53, col 5 write('''unsigned long ''') _v = VFFSL(SL,"index",True) # '${index}' on line 54, col 15 if _v is not None: write(_filter(_v, rawExpr='${index}')) # from line 54, col 15. write(''' = 0; ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def openLoopAscending(self, **KWS): ## CHEETAH: generated from @def openLoopAscending at line 60, 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 # write('''#define ''') _v = VFFSL(SL,"name",True) # '${name}' on line 62, col 9 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 62, col 9. write(''' ''') _v = VFFSL(SL,"arrayName",True) # '${arrayName}' on line 62, col 17 if _v is not None: write(_filter(_v, rawExpr='${arrayName}')) # from line 62, col 17. write('''[''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 62, col 30 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 62, col 30. write(''' + ''') _v = VFFSL(SL,"localOffset",True) # '${localOffset}' on line 62, col 45 if _v is not None: write(_filter(_v, rawExpr='${localOffset}')) # from line 62, col 45. write('''] ''') if VFFSL(SL,"stepSizeArray",True): # generated from line 63, col 3 write('''#define d''') _v = VFFSL(SL,"name",True) # '${name}' on line 64, col 10 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 64, col 10. write(''' (''') _v = VFFSL(SL,"stepSizeArrayName",True) # '${stepSizeArrayName}' on line 64, col 19 if _v is not None: write(_filter(_v, rawExpr='${stepSizeArrayName}')) # from line 64, col 19. write('''[''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 64, col 40 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 64, col 40. write(''' + ''') _v = VFFSL(SL,"localOffset",True) # '${localOffset}' on line 64, col 55 if _v is not None: write(_filter(_v, rawExpr='${localOffset}')) # from line 64, col 55. write('''] * (''') _v = VFFSL(SL,"volumePrefactor",True) # '${volumePrefactor}' on line 64, col 74 if _v is not None: write(_filter(_v, rawExpr='${volumePrefactor}')) # from line 64, col 74. write(''')) ''') write(''' for (long ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 67, col 11 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 67, col 11. write(''' = 0; ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 67, col 29 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 67, col 29. write(''' < ''') _v = VFFSL(SL,"localLattice",True) # '${localLattice}' on line 67, col 44 if _v is not None: write(_filter(_v, rawExpr='${localLattice}')) # from line 67, col 44. write('''; ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 67, col 61 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 67, col 61. write('''++) { ''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def closeLoopAscending(self, **KWS): ## CHEETAH: generated from @def closeLoopAscending at line 70, 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 # write('''} #undef ''') _v = VFFSL(SL,"name",True) # '${name}' on line 73, col 8 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 73, col 8. write(''' ''') if VFFSL(SL,"stepSizeArray",True): # generated from line 74, col 3 write('''#undef d''') _v = VFFSL(SL,"name",True) # '${name}' on line 75, col 9 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 75, col 9. write(''' ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def localIndexFromIndexForDimensionRep(self, dimRep, **KWS): ## CHEETAH: generated from @def localIndexFromIndexForDimensionRep($dimRep) at line 80, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # write('''(''') _v = VFFSL(SL,"dimRep.loopIndex",True) # '${dimRep.loopIndex}' on line 82, col 2 if _v is not None: write(_filter(_v, rawExpr='${dimRep.loopIndex}')) # from line 82, col 2. write(''' + ''') _v = VFFSL(SL,"dimRep.localOffset",True) # '${dimRep.localOffset}' on line 82, col 24 if _v is not None: write(_filter(_v, rawExpr='${dimRep.localOffset}')) # from line 82, col 24. write(''') * (''') _v = VFFSL(SL,"globalLattice",True) # '${globalLattice}' on line 82, col 50 if _v is not None: write(_filter(_v, rawExpr='${globalLattice}')) # from line 82, col 50. write('''/''') _v = VFFSL(SL,"dimRep.globalLattice",True) # '${dimRep.globalLattice}' on line 82, col 67 if _v is not None: write(_filter(_v, rawExpr='${dimRep.globalLattice}')) # from line 82, col 67. write(''') - ''') _v = VFFSL(SL,"localOffset",True) # '${localOffset}' on line 82, col 94 if _v is not None: write(_filter(_v, rawExpr='${localOffset}')) # from line 82, col 94. # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def strictlyAscendingGlobalIndex(self, **KWS): ## CHEETAH: generated from @def strictlyAscendingGlobalIndex at line 86, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 88, col 1 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 88, col 1. write(''' + ''') _v = VFFSL(SL,"localOffset",True) # '${localOffset}' on line 88, col 16 if _v is not None: write(_filter(_v, rawExpr='${localOffset}')) # from line 88, col 16. # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def initialiseArray(self, **KWS): ## CHEETAH: generated from @def initialiseArray at line 92, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # if VFFSL(SL,"stepSizeArray",True): # generated from line 94, col 3 write('''for (long ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 95, col 11 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 95, col 11. write(''' = 0; ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 95, col 29 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 95, col 29. write(''' < ''') _v = VFFSL(SL,"globalLattice",True) # '${globalLattice}' on line 95, col 44 if _v is not None: write(_filter(_v, rawExpr='${globalLattice}')) # from line 95, col 44. write('''; ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 95, col 62 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 95, col 62. write('''++) { ''') _v = VFFSL(SL,"gridAndStepAtIndex",False)(self.loopIndex) # '${gridAndStepAtIndex(self.loopIndex), autoIndent=True}' on line 96, col 3 if _v is not None: write(_filter(_v, autoIndent=True, rawExpr='${gridAndStepAtIndex(self.loopIndex), autoIndent=True}')) # from line 96, col 3. write('''} ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def gridAndStepAtIndex(self, index, **KWS): ## CHEETAH: generated from @def gridAndStepAtIndex($index) at line 102, 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 # _v = VFFSL(SL,"arrayName",True) # '${arrayName}' on line 104, col 1 if _v is not None: write(_filter(_v, rawExpr='${arrayName}')) # from line 104, col 1. write('''[''') _v = VFFSL(SL,"index",True) # '$index' on line 104, col 14 if _v is not None: write(_filter(_v, rawExpr='$index')) # from line 104, col 14. write('''] = ''') _v = VFFSL(SL,"gridAtIndex",False)(index) # '${gridAtIndex(index)}' on line 104, col 24 if _v is not None: write(_filter(_v, rawExpr='${gridAtIndex(index)}')) # from line 104, col 24. write('''; ''') _v = VFFSL(SL,"stepSizeArrayName",True) # '${stepSizeArrayName}' on line 105, col 1 if _v is not None: write(_filter(_v, rawExpr='${stepSizeArrayName}')) # from line 105, col 1. write('''[''') _v = VFFSL(SL,"index",True) # '$index' on line 105, col 22 if _v is not None: write(_filter(_v, rawExpr='$index')) # from line 105, col 22. write('''] = ''') _v = VFFSL(SL,"stepWeightAtIndex",False)(index) # '${stepWeightAtIndex(index)}' on line 105, col 32 if _v is not None: write(_filter(_v, rawExpr='${stepWeightAtIndex(index)}')) # from line 105, col 32. write('''; ''') # ######################################## ## 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 write(''' ''') # # NonUniformDimensionRepresentation.tmpl # # Created by Graham Dennis on 2008-07-30. # # Copyright (c) 2008-2012, Graham Dennis # # 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(''' ''') ######################################## ## 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_NonUniformDimensionRepresentation = 'writeBody' ## END CLASS DEFINITION if not hasattr(NonUniformDimensionRepresentation, '_initCheetahAttributes'): templateAPIClass = getattr(NonUniformDimensionRepresentation, '_CHEETAH_templateClass', Template) templateAPIClass._addCheetahPlumbingCodeToClass(NonUniformDimensionRepresentation) # CHEETAH was developed by Tavis Rudd and Mike Orr # with code, advice and input from many other volunteers. # For more information visit https://cheetahtemplate.org/ ################################################## ## if run from command line: if __name__ == '__main__': from Cheetah.TemplateCmdLineIface import CmdLineIface CmdLineIface(templateObj=NonUniformDimensionRepresentation()).run()