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#!/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.Vectors._ComputedVector import _ComputedVector
##################################################
## 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__ = 1413234540.964448
__CHEETAH_genTimestamp__ = 'Tue Oct 14 08:09:00 2014'
__CHEETAH_src__ = '/Users/graham/Library/XMDS/src/xmds2/admin/staging/xmds-2.2.2/xpdeint/Vectors/ComputedVector.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 ComputedVector(_ComputedVector):
##################################################
## CHEETAH GENERATED METHODS
def __init__(self, *args, **KWs):
super(ComputedVector, 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 description(self, **KWS):
## Generated from @def description: computed vector $name at line 27, col 1.
trans = KWS.get("trans")
if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)):
trans = self.transaction # is None unless self.awake() was called
if not trans:
trans = DummyTransaction()
_dummyTrans = True
else: _dummyTrans = False
write = trans.response().write
SL = self._CHEETAH__searchList
_filter = self._CHEETAH__currentFilter
########################################
## START - generated method body
write(u'''computed vector ''')
_v = VFFSL(SL,"name",True) # u'$name' on line 27, col 35
if _v is not None: write(_filter(_v, rawExpr=u'$name')) # from line 27, col 35.
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def evaluateFunctionContents(self, function, **KWS):
"""
This function returns the code for the calculated vector's ``evaluate()`` function.
The ``evaluate()`` function executes the code that defines the calculated vector.
"""
## CHEETAH: generated from @def evaluateFunctionContents($function) 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
#
if VFFSL(SL,"integratingComponents",True): # generated from line 36, col 3
# If this vector is constructed through an integral, then we first
# need to initialise ourselves to zero.
_v = VFFSL(SL,"initialise",True) # u'${initialise}' on line 39, col 1
if _v is not None: write(_filter(_v, rawExpr=u'${initialise}')) # from line 39, col 1.
write(u'''
''')
#
featureOrdering = ['Stochastic']
featureDict = {'codeBlock': VFFSL(SL,"codeBlocks",True)['evaluation']}
#
vectorOverrides = []
if VFFSL(SL,"integratingComponents",True): # generated from line 47, col 3
vectorOverrides.append(self)
#
_v = VFFSL(SL,"insertCodeForFeatures",False)('computedVectorEvaluationBegin', VFFSL(SL,"featureOrdering",True), featureDict) # u"${insertCodeForFeatures('computedVectorEvaluationBegin', $featureOrdering, featureDict)}" on line 51, col 1
if _v is not None: write(_filter(_v, rawExpr=u"${insertCodeForFeatures('computedVectorEvaluationBegin', $featureOrdering, featureDict)}")) # from line 51, col 1.
_v = VFN(VFFSL(SL,"codeBlocks",True)['evaluation'],"loop",False)(self.insideEvaluationLoops, vectorOverrides=vectorOverrides) # u"${codeBlocks['evaluation'].loop(self.insideEvaluationLoops, vectorOverrides=vectorOverrides)}" on line 52, col 1
if _v is not None: write(_filter(_v, rawExpr=u"${codeBlocks['evaluation'].loop(self.insideEvaluationLoops, vectorOverrides=vectorOverrides)}")) # from line 52, col 1.
_v = VFFSL(SL,"insertCodeForFeaturesInReverseOrder",False)('computedVectorEvaluationEnd', VFFSL(SL,"featureOrdering",True), featureDict) # u"${insertCodeForFeaturesInReverseOrder('computedVectorEvaluationEnd', $featureOrdering, featureDict)}" on line 53, col 1
if _v is not None: write(_filter(_v, rawExpr=u"${insertCodeForFeaturesInReverseOrder('computedVectorEvaluationEnd', $featureOrdering, featureDict)}")) # from line 53, col 1.
#
if VFFSL(SL,"needsTransforms",True): # generated from line 55, col 3
write(u'''
_''')
_v = VFFSL(SL,"id",True) # u'${id}' on line 57, col 2
if _v is not None: write(_filter(_v, rawExpr=u'${id}')) # from line 57, col 2.
write(u'''_basis = ''')
_v = VFFSL(SL,"basisIndexForBasis",False)(self.initialBasis) # u'$basisIndexForBasis(self.initialBasis)' on line 57, col 16
if _v is not None: write(_filter(_v, rawExpr=u'$basisIndexForBasis(self.initialBasis)')) # from line 57, col 16.
write(u''';
''')
#
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def insideEvaluationLoops(self, codeString, **KWS):
## CHEETAH: generated from @def insideEvaluationLoops(codeString) at line 62, col 1.
trans = KWS.get("trans")
if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)):
trans = self.transaction # is None unless self.awake() was called
if not trans:
trans = DummyTransaction()
_dummyTrans = True
else: _dummyTrans = False
write = trans.response().write
SL = self._CHEETAH__searchList
_filter = self._CHEETAH__currentFilter
########################################
## START - generated method body
#
write(u'''// ************* Evaluation code ****************
''')
_v = VFFSL(SL,"codeString",True) # u'${codeString}' on line 65, col 1
if _v is not None: write(_filter(_v, rawExpr=u'${codeString}')) # from line 65, col 1.
write(u'''// **********************************************
''')
#
########################################
## 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
#
# ComputedVector.tmpl
#
# Created by Graham Dennis on 2008-03-12.
#
# 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 <http://www.gnu.org/licenses/>.
#
write(u'''
''')
#
# Description of template
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_ComputedVector= 'writeBody'
## END CLASS DEFINITION
if not hasattr(ComputedVector, '_initCheetahAttributes'):
templateAPIClass = getattr(ComputedVector, '_CHEETAH_templateClass', Template)
templateAPIClass._addCheetahPlumbingCodeToClass(ComputedVector)
# 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=ComputedVector()).run()
|
