#!/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.Operators._Operator import _Operator
from xpdeint.Vectors.VectorElement import VectorElement
from xpdeint.CallOnceGuards import callOncePerInstanceGuard

##################################################
## MODULE CONSTANTS
VFFSL=valueFromFrameOrSearchList
VFSL=valueFromSearchList
VFN=valueForName
currentTime=time.time
__CHEETAH_version__ = '3.2.1'
__CHEETAH_versionTuple__ = (3, 2, 1, 'final', 0)
__CHEETAH_genTime__ = 1556840496.091763
__CHEETAH_genTimestamp__ = 'Fri May  3 09:41:36 2019'
__CHEETAH_src__ = '/home/mattias/xmds-2.2.3/admin/staging/xmds-2.3.0/xpdeint/Operators/Operator.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 Operator(_Operator):

    ##################################################
    ## CHEETAH GENERATED METHODS


    def __init__(self, *args, **KWs):

        super(Operator, 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 insideEvaluateOperatorLoops(self, **KWS):



        ## CHEETAH: generated from @def insideEvaluateOperatorLoops at line 29, 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
        
        # 
        #  Content must be provided by a subclass
        assert 0
        # 
        
        ########################################
        ## END - generated method body
        
        return _dummyTrans and trans.response().getvalue() or ""
        

    @callOncePerInstanceGuard
    def initialise(self, **KWS):



        ## CHEETAH: generated from @def initialise at line 37, 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(Operator, self).initialise()
        if _v is not None: write(_filter(_v))
        # 
        if VFFSL(SL,"operatorVector",True): # generated from line 41, col 3
            write('''_''')
            _v = VFFSL(SL,"parent.id",True) # '${parent.id}' on line 42, col 2
            if _v is not None: write(_filter(_v, rawExpr='${parent.id}')) # from line 42, col 2.
            write('''_calculate_''')
            _v = VFFSL(SL,"name",True) # '${name}' on line 42, col 25
            if _v is not None: write(_filter(_v, rawExpr='${name}')) # from line 42, col 25.
            write('''_field();
''')
        # 
        
        ########################################
        ## END - generated method body
        
        return _dummyTrans and trans.response().getvalue() or ""
        

    def calculateOperatorFieldFunctionContents(self, function, **KWS):



        ## CHEETAH: generated from @def calculateOperatorFieldFunctionContents($function) at line 47, 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 = VFN(VFFSL(SL,"codeBlocks",True)['operatorDefinition'],"loop",False)(self.insideCalculateOperatorFieldLoops) # "${codeBlocks['operatorDefinition'].loop(self.insideCalculateOperatorFieldLoops)}" on line 49, col 1
        if _v is not None: write(_filter(_v, rawExpr="${codeBlocks['operatorDefinition'].loop(self.insideCalculateOperatorFieldLoops)}")) # from line 49, col 1.
        # 
        
        ########################################
        ## END - generated method body
        
        return _dummyTrans and trans.response().getvalue() or ""
        

    def insideCalculateOperatorFieldLoopsBegin(self, **KWS):



        ## CHEETAH: generated from @def insideCalculateOperatorFieldLoopsBegin at line 53, 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
        
        # 
        for operatorComponentName in VFN(VFFSL(SL,"operatorComponents",True),"keys",False)(): # generated from line 55, col 3
            if VFFSL(SL,"operatorVector",True) and operatorComponentName in VFFSL(SL,"operatorVector.components",True): # generated from line 56, col 5
                continue
            _v = VFFSL(SL,"operatorVector.type",True) # '${operatorVector.type}' on line 59, col 1
            if _v is not None: write(_filter(_v, rawExpr='${operatorVector.type}')) # from line 59, col 1.
            write(''' ''')
            _v = VFFSL(SL,"operatorComponentName",True) # '$operatorComponentName' on line 59, col 24
            if _v is not None: write(_filter(_v, rawExpr='$operatorComponentName')) # from line 59, col 24.
            write(''';
''')
        # 
        
        ########################################
        ## END - generated method body
        
        return _dummyTrans and trans.response().getvalue() or ""
        

    def evaluateOperatorFunctionContents(self, function, **KWS):



        ## CHEETAH: generated from @def evaluateOperatorFunctionContents($function) at line 66, 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 'calculateOperatorField' in VFFSL(SL,"functions",True): # generated from line 68, col 3
            _v = VFFSL(SL,"evaluateOperatorFunctionContentsWithCodeBlock",False)(function) # '${evaluateOperatorFunctionContentsWithCodeBlock(function)}' on line 69, col 1
            if _v is not None: write(_filter(_v, rawExpr='${evaluateOperatorFunctionContentsWithCodeBlock(function)}')) # from line 69, col 1.
        else: # generated from line 70, col 3
            _v = VFFSL(SL,"evaluateOperatorFunctionContentsWithoutCodeBlock",False)(function) # '${evaluateOperatorFunctionContentsWithoutCodeBlock(function)}' on line 71, col 1
            if _v is not None: write(_filter(_v, rawExpr='${evaluateOperatorFunctionContentsWithoutCodeBlock(function)}')) # from line 71, col 1.
        # 
        
        ########################################
        ## END - generated method body
        
        return _dummyTrans and trans.response().getvalue() or ""
        

    def evaluateOperatorFunctionContentsWithCodeBlock(self, function, **KWS):



        ## CHEETAH: generated from @def evaluateOperatorFunctionContentsWithCodeBlock($function) at line 76, 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,"callEvaluateLoop",True) # '${callEvaluateLoop}' on line 78, col 1
        if _v is not None: write(_filter(_v, rawExpr='${callEvaluateLoop}')) # from line 78, col 1.
        # 
        if VFFSL(SL,"resultVector",True) and VFFSL(SL,"resultVector.needsTransforms",True): # generated from line 80, col 3
            write('''
_''')
            _v = VFFSL(SL,"resultVector.id",True) # '${resultVector.id}' on line 82, col 2
            if _v is not None: write(_filter(_v, rawExpr='${resultVector.id}')) # from line 82, col 2.
            write('''_basis = ''')
            _v = VFFSL(SL,"basisIndexForBasis",False)(VFFSL(SL,"operatorBasis",True)) # '$basisIndexForBasis($operatorBasis)' on line 82, col 29
            if _v is not None: write(_filter(_v, rawExpr='$basisIndexForBasis($operatorBasis)')) # from line 82, col 29.
            write(''';
''')
        # 
        
        ########################################
        ## END - generated method body
        
        return _dummyTrans and trans.response().getvalue() or ""
        

    def callEvaluateLoop(self, **KWS):



        ## CHEETAH: generated from @def callEvaluateLoop at line 87, 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 = VFN(VFFSL(SL,"codeBlocks",True)['operatorDefinition'],"loop",False)(self.insideEvaluateOperatorLoops) # "${codeBlocks['operatorDefinition'].loop(self.insideEvaluateOperatorLoops)}" on line 88, col 1
        if _v is not None: write(_filter(_v, rawExpr="${codeBlocks['operatorDefinition'].loop(self.insideEvaluateOperatorLoops)}")) # from line 88, col 1.
        
        ########################################
        ## END - generated method body
        
        return _dummyTrans and trans.response().getvalue() or ""
        

    def insideEvaluateOperatorLoopsBegin(self, **KWS):



        ## CHEETAH: generated from @def insideEvaluateOperatorLoopsBegin at line 91, 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,"operatorVector",True): # generated from line 93, col 3
            #  If we don't have an operator vector, then we need to create
            #  the component variables so that the user can set them inside
            #  the loop
            for operatorComponentName, operatorComponentDictionary in VFN(VFFSL(SL,"operatorComponents",True),"items",False)(): # generated from line 97, col 5
                typeNamesSet = set([vector.type for vector in operatorComponentDictionary.keys()])
                typeName = 'real'
                if 'complex' in typeNamesSet: # generated from line 100, col 7
                    typeName = 'complex'
                _v = VFFSL(SL,"typeName",True) # '${typeName}' on line 103, col 1
                if _v is not None: write(_filter(_v, rawExpr='${typeName}')) # from line 103, col 1.
                write(''' ''')
                _v = VFFSL(SL,"operatorComponentName",True) # '${operatorComponentName}' on line 103, col 13
                if _v is not None: write(_filter(_v, rawExpr='${operatorComponentName}')) # from line 103, col 13.
                write(''';
''')
            write('''
''')
        # 
        
        ########################################
        ## END - generated method body
        
        return _dummyTrans and trans.response().getvalue() or ""
        

    def evaluateOperatorFunctionContentsWithoutCodeBlock(self, function, **KWS):



        ## CHEETAH: generated from @def evaluateOperatorFunctionContentsWithoutCodeBlock($function) 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
        
        # 
        #  We need to loop over all of the vectors to which we are applying our operators.
        # 
        _v = VFFSL(SL,"transformVectorsToBasis",False)(VFFSL(SL,"targetVectors",True), VFFSL(SL,"operatorBasis",True)) # '${transformVectorsToBasis($targetVectors, $operatorBasis)}' on line 114, col 1
        if _v is not None: write(_filter(_v, rawExpr='${transformVectorsToBasis($targetVectors, $operatorBasis)}')) # from line 114, col 1.
        # 
        write('''
''')
        #  We have an operator vector and we will need to loop over it
        setOfVectorsToLoopOver = VFN(VFFSL(SL,"targetVectors",True),"copy",False)()
        VFN(VFFSL(SL,"setOfVectorsToLoopOver",True),"add",False)(VFFSL(SL,"operatorVector",True))
        if VFFSL(SL,"resultVector",True): # generated from line 120, col 3
            VFN(VFFSL(SL,"setOfVectorsToLoopOver",True),"add",False)(VFFSL(SL,"resultVector",True))
        # 
        _v = VFFSL(SL,"evaluateOperatorLoop",False)(setOfVectorsToLoopOver) # '${evaluateOperatorLoop(setOfVectorsToLoopOver)}' on line 124, col 1
        if _v is not None: write(_filter(_v, rawExpr='${evaluateOperatorLoop(setOfVectorsToLoopOver)}')) # from line 124, col 1.
        # 
        if VFFSL(SL,"resultVector",True) and VFFSL(SL,"resultVector.needsTransforms",True): # generated from line 126, col 3
            write('''
_''')
            _v = VFFSL(SL,"resultVector.id",True) # '${resultVector.id}' on line 128, col 2
            if _v is not None: write(_filter(_v, rawExpr='${resultVector.id}')) # from line 128, col 2.
            write('''_basis = ''')
            _v = VFFSL(SL,"basisIndexForBasis",False)(VFFSL(SL,"operatorBasis",True)) # '$basisIndexForBasis($operatorBasis)' on line 128, col 29
            if _v is not None: write(_filter(_v, rawExpr='$basisIndexForBasis($operatorBasis)')) # from line 128, col 29.
            write(''';
''')
        # 
        
        ########################################
        ## END - generated method body
        
        return _dummyTrans and trans.response().getvalue() or ""
        

    def optimisedOperatorCopyBegin(self, **KWS):



        ## CHEETAH: generated from @def optimisedOperatorCopyBegin at line 133, 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
        
        #  This optimisation only works in a restricted set of circumstances.  It's common enough, but not as general
        #  as it could be.  Basically, you need a single operator name (e.g. L, not Lx and Ly) which is applied to all
        #  components of a vector.
        if len(VFFSL(SL,"targetVectors",True)) != 1 or not VFFSL(SL,"resultVector",True) or len(VFFSL(SL,"operatorNames",True)) != 1: # generated from line 137, col 3
            return
        targetVector = VFFSL(SL,"anyObject",False)(VFFSL(SL,"targetVectors",True))
        if VFFSL(SL,"targetVector.nComponents",True) != VFFSL(SL,"resultVector.nComponents",True) or not targetVector.needsTransforms: # generated from line 141, col 3
            return
        #  For this operator, we don't modify the target vector, so if we just transform it, we'll have to transform it back again
        #  Here, we copy the target vector into the result vector because it's the same size. This way we can avoid the second transform
        write('''memcpy(_active_''')
        _v = VFFSL(SL,"resultVector.id",True) # '${resultVector.id}' on line 146, col 16
        if _v is not None: write(_filter(_v, rawExpr='${resultVector.id}')) # from line 146, col 16.
        write(''', _active_''')
        _v = VFFSL(SL,"targetVector.id",True) # '${targetVector.id}' on line 146, col 44
        if _v is not None: write(_filter(_v, rawExpr='${targetVector.id}')) # from line 146, col 44.
        write(''', ''')
        _v = VFFSL(SL,"targetVector.allocSize",True) # '${targetVector.allocSize}' on line 146, col 64
        if _v is not None: write(_filter(_v, rawExpr='${targetVector.allocSize}')) # from line 146, col 64.
        write(''' * sizeof(''')
        _v = VFFSL(SL,"targetVector.type",True) # '${targetVector.type}' on line 146, col 99
        if _v is not None: write(_filter(_v, rawExpr='${targetVector.type}')) # from line 146, col 99.
        write('''));
''')
        _v = VFFSL(SL,"targetVector.type",True) # '${targetVector.type}' on line 147, col 1
        if _v is not None: write(_filter(_v, rawExpr='${targetVector.type}')) # from line 147, col 1.
        write(''' *__backup_ptr = _active_''')
        _v = VFFSL(SL,"targetVector.id",True) # '${targetVector.id}' on line 147, col 46
        if _v is not None: write(_filter(_v, rawExpr='${targetVector.id}')) # from line 147, col 46.
        write(''';
ptrdiff_t __backup_basis = _''')
        _v = VFFSL(SL,"targetVector.id",True) # '${targetVector.id}' on line 148, col 29
        if _v is not None: write(_filter(_v, rawExpr='${targetVector.id}')) # from line 148, col 29.
        write('''_basis;
_active_''')
        _v = VFFSL(SL,"targetVector.id",True) # '${targetVector.id}' on line 149, col 9
        if _v is not None: write(_filter(_v, rawExpr='${targetVector.id}')) # from line 149, col 9.
        write(''' = _active_''')
        _v = VFFSL(SL,"resultVector.id",True) # '${resultVector.id}' on line 149, col 38
        if _v is not None: write(_filter(_v, rawExpr='${resultVector.id}')) # from line 149, col 38.
        write(''';

''')
        # 
        
        ########################################
        ## END - generated method body
        
        return _dummyTrans and trans.response().getvalue() or ""
        

    def optimisedOperatorCopyEnd(self, **KWS):



        ## CHEETAH: generated from @def optimisedOperatorCopyEnd at line 154, 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 len(VFFSL(SL,"targetVectors",True)) != 1 or not VFFSL(SL,"resultVector",True) or len(VFFSL(SL,"operatorNames",True)) != 1: # generated from line 155, col 3
            return
        targetVector = VFFSL(SL,"anyObject",False)(VFFSL(SL,"targetVectors",True))
        if VFFSL(SL,"targetVector.nComponents",True) != VFFSL(SL,"resultVector.nComponents",True) or not targetVector.needsTransforms: # generated from line 159, col 3
            return
        write('''_active_''')
        _v = VFFSL(SL,"targetVector.id",True) # '${targetVector.id}' on line 162, col 9
        if _v is not None: write(_filter(_v, rawExpr='${targetVector.id}')) # from line 162, col 9.
        write(''' = __backup_ptr;
_''')
        _v = VFFSL(SL,"targetVector.id",True) # '${targetVector.id}' on line 163, col 2
        if _v is not None: write(_filter(_v, rawExpr='${targetVector.id}')) # from line 163, col 2.
        write('''_basis = __backup_basis;
''')
        # 
        
        ########################################
        ## 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('''
''')
        # 
        # Operator.tmpl
        # 
        # Created by Graham Dennis on 2007-10-13.
        # 
        # Copyright (c) 2007-2012, 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 <http://www.gnu.org/licenses/>.
        # 
        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__

    evaluateOperatorFunctionArgument = 'real _step'

    _mainCheetahMethod_for_Operator = 'writeBody'

## END CLASS DEFINITION

if not hasattr(Operator, '_initCheetahAttributes'):
    templateAPIClass = getattr(Operator,
                               '_CHEETAH_templateClass',
                               Template)
    templateAPIClass._addCheetahPlumbingCodeToClass(Operator)


# CHEETAH was developed by Tavis Rudd and Mike Orr
# with code, advice and input from many other volunteers.
# For more information visit http://cheetahtemplate.org/

##################################################
## if run from command line:
if __name__ == '__main__':
    from Cheetah.TemplateCmdLineIface import CmdLineIface
    CmdLineIface(templateObj=Operator()).run()


