#!/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._UniformDimensionRepresentation import _UniformDimensionRepresentation ################################################## ## 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__ = 1558054969.673408 __CHEETAH_genTimestamp__ = 'Fri May 17 11:02:49 2019' __CHEETAH_src__ = '/home/mattias/xmds-2.2.3/admin/staging/xmds-3.0.0/xpdeint/Geometry/UniformDimensionRepresentation.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 UniformDimensionRepresentation(_UniformDimensionRepresentation): ################################################## ## CHEETAH GENERATED METHODS def __init__(self, *args, **KWs): super(UniformDimensionRepresentation, 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 # _v = super(UniformDimensionRepresentation, self).defines() if _v is not None: write(_filter(_v)) if VFFSL(SL,"silent",True): # generated from line 29, col 3 return _dummyTrans and trans.response().getvalue() or "" # 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,"type",True) # '$type' on line 33, col 26 if _v is not None: write(_filter(_v, rawExpr='$type')) # from line 33, col 26. write(''')''') _v = VFFSL(SL,"_minimum",True) # '${_minimum}' on line 33, col 32 if _v is not None: write(_filter(_v, rawExpr='${_minimum}')) # from line 33, col 32. write(''') #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,"type",True) # '$type' on line 34, col 26 if _v is not None: write(_filter(_v, rawExpr='$type')) # from line 34, col 26. write(''')''') _v = VFFSL(SL,"_maximum",True) # '${_maximum}' on line 34, col 32 if _v is not None: write(_filter(_v, rawExpr='${_maximum}')) # from line 34, col 32. write(''') #define ''') _v = VFFSL(SL,"stepSize",True) # '${stepSize}' on line 35, col 9 if _v is not None: write(_filter(_v, rawExpr='${stepSize}')) # from line 35, col 9. write(''' ((''') _v = VFFSL(SL,"type",True) # '$type' on line 35, col 30 if _v is not None: write(_filter(_v, rawExpr='$type')) # from line 35, col 30. write(''')''') _v = VFFSL(SL,"stepSizeString",True) # '${stepSizeString}' on line 35, col 36 if _v is not None: write(_filter(_v, rawExpr='${stepSizeString}')) # from line 35, col 36. write(''') ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def openLoopAscending(self, **KWS): ## CHEETAH: generated from @def openLoopAscending at line 39, 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) # '${name}' on line 41, col 9 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 41, col 9. write(''' ''') _v = VFFSL(SL,"arrayName",True) # '${arrayName}' on line 41, col 17 if _v is not None: write(_filter(_v, rawExpr='${arrayName}')) # from line 41, col 17. write('''[''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 41, col 30 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 41, col 30. write(''' + ''') _v = VFFSL(SL,"localOffset",True) # '${localOffset}' on line 41, col 45 if _v is not None: write(_filter(_v, rawExpr='${localOffset}')) # from line 41, col 45. write('''] #define d''') _v = VFFSL(SL,"name",True) # '${name}' on line 42, col 10 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 42, col 10. write(''' (''') _v = VFFSL(SL,"stepSize",True) # '${stepSize}' on line 42, col 19 if _v is not None: write(_filter(_v, rawExpr='${stepSize}')) # from line 42, col 19. write(''' * (''') _v = VFFSL(SL,"volumePrefactor",True) # '${volumePrefactor}' on line 42, col 34 if _v is not None: write(_filter(_v, rawExpr='${volumePrefactor}')) # from line 42, col 34. write(''')) for (long ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 44, col 11 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 44, col 11. write(''' = 0; ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 44, col 29 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 44, col 29. write(''' < ''') _v = VFFSL(SL,"localLattice",True) # '${localLattice}' on line 44, col 44 if _v is not None: write(_filter(_v, rawExpr='${localLattice}')) # from line 44, col 44. write('''; ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 44, col 61 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 44, 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 48, 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) # '${name}' on line 51, col 8 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 51, col 8. write(''' #undef d''') _v = VFFSL(SL,"name",True) # '${name}' on line 52, col 9 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 52, col 9. write(''' ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def openLoopDescending(self, **KWS): ## CHEETAH: generated from @def openLoopDescending at line 56, 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) # '${name}' on line 58, col 9 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 58, col 9. write(''' ''') _v = VFFSL(SL,"arrayName",True) # '${arrayName}' on line 58, col 17 if _v is not None: write(_filter(_v, rawExpr='${arrayName}')) # from line 58, col 17. write('''[''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 58, col 30 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 58, col 30. write(''' + ''') _v = VFFSL(SL,"localOffset",True) # '${localOffset}' on line 58, col 45 if _v is not None: write(_filter(_v, rawExpr='${localOffset}')) # from line 58, col 45. write('''] #define d''') _v = VFFSL(SL,"name",True) # '${name}' on line 59, col 10 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 59, col 10. write(''' (''') _v = VFFSL(SL,"stepSize",True) # '${stepSize}' on line 59, col 19 if _v is not None: write(_filter(_v, rawExpr='${stepSize}')) # from line 59, col 19. write(''' * (''') _v = VFFSL(SL,"volumePrefactor",True) # '${volumePrefactor}' on line 59, col 34 if _v is not None: write(_filter(_v, rawExpr='${volumePrefactor}')) # from line 59, col 34. write(''')) for (long ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 61, col 11 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 61, col 11. write(''' = ''') _v = VFFSL(SL,"localLattice",True) # '${localLattice}' on line 61, col 26 if _v is not None: write(_filter(_v, rawExpr='${localLattice}')) # from line 61, col 26. write('''-1; ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 61, col 45 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 61, col 45. write(''' >= 0; ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 61, col 64 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 61, col 64. write('''--) { ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def closeLoopDescending(self, **KWS): ## CHEETAH: generated from @def closeLoopDescending at line 65, 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) # '${name}' on line 68, col 8 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 68, col 8. write(''' #undef d''') _v = VFFSL(SL,"name",True) # '${name}' on line 69, col 9 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 69, col 9. write(''' ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def localIndexFromIndexForDimensionRep(self, dimRep, **KWS): ## CHEETAH: generated from @def localIndexFromIndexForDimensionRep($dimRep) at line 73, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body if VFFSL(SL,"dimRep.runtimeLattice",True) == VFFSL(SL,"runtimeLattice",True) or VFFSL(SL,"dimRep.reductionMethod",True) == VFFSL(SL,"ReductionMethod.fixedStep",True): # generated from line 74, col 3 _v = VFFSL(SL,"dimRep.loopIndex",True) # '${dimRep.loopIndex}' on line 75, col 1 if _v is not None: write(_filter(_v, rawExpr='${dimRep.loopIndex}')) # from line 75, col 1. write(''' + ''') _v = VFFSL(SL,"dimRep.localOffset",True) # '${dimRep.localOffset}' on line 75, col 23 if _v is not None: write(_filter(_v, rawExpr='${dimRep.localOffset}')) # from line 75, col 23. write(''' - ''') _v = VFFSL(SL,"localOffset",True) # '${localOffset}' on line 75, col 47 if _v is not None: write(_filter(_v, rawExpr='${localOffset}')) # from line 75, col 47. elif VFFSL(SL,"dimRep.reductionMethod",True) == VFFSL(SL,"ReductionMethod.fixedRange",True): # generated from line 76, col 3 # We are using a fixed-range reduction method. # write('''(''') _v = VFFSL(SL,"dimRep.loopIndex",True) # '${dimRep.loopIndex}' on line 79, col 2 if _v is not None: write(_filter(_v, rawExpr='${dimRep.loopIndex}')) # from line 79, col 2. write(''' + ''') _v = VFFSL(SL,"dimRep.localOffset",True) # '${dimRep.localOffset}' on line 79, col 24 if _v is not None: write(_filter(_v, rawExpr='${dimRep.localOffset}')) # from line 79, col 24. write(''') * (''') _v = VFFSL(SL,"globalLattice",True) # '${globalLattice}' on line 79, col 50 if _v is not None: write(_filter(_v, rawExpr='${globalLattice}')) # from line 79, col 50. write('''/''') _v = VFFSL(SL,"dimRep.globalLattice",True) # '${dimRep.globalLattice}' on line 79, col 67 if _v is not None: write(_filter(_v, rawExpr='${dimRep.globalLattice}')) # from line 79, col 67. write(''') - ''') _v = VFFSL(SL,"localOffset",True) # '${localOffset}' on line 79, col 94 if _v is not None: write(_filter(_v, rawExpr='${localOffset}')) # from line 79, col 94. else: # generated from line 80, col 3 assert False # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def strictlyAscendingGlobalIndex(self, **KWS): ## CHEETAH: generated from @def strictlyAscendingGlobalIndex at line 86, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # if not VFFSL(SL,"hasLocalOffset",True): # generated from line 88, col 3 return VFFSL(SL,"loopIndex",True) else: # generated from line 90, col 3 write('''lround((''') _v = VFFSL(SL,"name",True) # '${name}' on line 91, col 9 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 91, col 9. write(''' - ''') _v = VFFSL(SL,"minimum",True) # '${minimum}' on line 91, col 19 if _v is not None: write(_filter(_v, rawExpr='${minimum}')) # from line 91, col 19. write(''')/''') _v = VFFSL(SL,"stepSize",True) # '${stepSize}' on line 91, col 31 if _v is not None: write(_filter(_v, rawExpr='${stepSize}')) # from line 91, col 31. write(''')''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def indexForSinglePointSample(self, **KWS): ## CHEETAH: generated from @def indexForSinglePointSample at line 96, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # # Take the middle point, which is in the middle of the array _v = VFFSL(SL,"globalLattice",True) # '${globalLattice}' on line 99, col 1 if _v is not None: write(_filter(_v, rawExpr='${globalLattice}')) # from line 99, col 1. write('''/2''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def createCoordinateVariableForSinglePointSample(self, **KWS): ## CHEETAH: generated from @def createCoordinateVariableForSinglePointSample at line 103, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # _v = VFFSL(SL,"type",True) # '${type}' on line 105, col 1 if _v is not None: write(_filter(_v, rawExpr='${type}')) # from line 105, col 1. write(''' ''') _v = VFFSL(SL,"name",True) # '${name}' on line 105, col 9 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 105, col 9. write(''' = ''') _v = VFFSL(SL,"arrayName",True) # '${arrayName}' on line 105, col 19 if _v is not None: write(_filter(_v, rawExpr='${arrayName}')) # from line 105, col 19. write('''[''') _v = VFFSL(SL,"globalLattice",True) # '${globalLattice}' on line 105, col 32 if _v is not None: write(_filter(_v, rawExpr='${globalLattice}')) # from line 105, col 32. write('''/2]; #define d''') _v = VFFSL(SL,"name",True) # '${name}' on line 106, col 10 if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 106, col 10. write(''' (''') _v = VFFSL(SL,"stepSize",True) # '${stepSize}' on line 106, col 19 if _v is not None: write(_filter(_v, rawExpr='${stepSize}')) # from line 106, col 19. write(''' * (''') _v = VFFSL(SL,"volumePrefactor",True) # '${volumePrefactor}' on line 106, col 34 if _v is not None: write(_filter(_v, rawExpr='${volumePrefactor}')) # from line 106, col 34. write(''')) ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def initialiseArray(self, **KWS): ## CHEETAH: generated from @def initialiseArray at line 110, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # write('''for (long ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 112, col 11 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 112, col 11. write(''' = 0; ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 112, col 29 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 112, col 29. write(''' < ''') _v = VFFSL(SL,"globalLattice",True) # '${globalLattice}' on line 112, col 44 if _v is not None: write(_filter(_v, rawExpr='${globalLattice}')) # from line 112, col 44. write('''; ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 112, col 62 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 112, col 62. write('''++) ''') _v = VFFSL(SL,"arrayName",True) # '${arrayName}' on line 113, col 3 if _v is not None: write(_filter(_v, rawExpr='${arrayName}')) # from line 113, col 3. write('''[''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 113, col 16 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 113, col 16. write('''] = ''') _v = VFFSL(SL,"minimum",True) # '${minimum}' on line 113, col 32 if _v is not None: write(_filter(_v, rawExpr='${minimum}')) # from line 113, col 32. write(''' + ''') _v = VFFSL(SL,"loopIndex",True) # '${loopIndex}' on line 113, col 45 if _v is not None: write(_filter(_v, rawExpr='${loopIndex}')) # from line 113, col 45. write('''*''') _v = VFFSL(SL,"stepSize",True) # '${stepSize}' on line 113, col 58 if _v is not None: write(_filter(_v, rawExpr='${stepSize}')) # from line 113, col 58. 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(''' ''') # # UniformDimensionRepresentation.tmpl # # Created by Graham Dennis on 2008-07-31. # # 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_UniformDimensionRepresentation = 'writeBody' ## END CLASS DEFINITION if not hasattr(UniformDimensionRepresentation, '_initCheetahAttributes'): templateAPIClass = getattr(UniformDimensionRepresentation, '_CHEETAH_templateClass', Template) templateAPIClass._addCheetahPlumbingCodeToClass(UniformDimensionRepresentation) # 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=UniformDimensionRepresentation()).run()