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|
#!/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.Features._Feature import _Feature
from xpdeint.Utilities import lazy_property
##################################################
## 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__ = 1558054969.9106486
__CHEETAH_genTimestamp__ = 'Fri May 17 11:02:49 2019'
__CHEETAH_src__ = '/home/mattias/xmds-2.2.3/admin/staging/xmds-3.0.0/xpdeint/Features/Output.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 Output(_Feature):
##################################################
## CHEETAH GENERATED METHODS
def __init__(self, *args, **KWs):
super(Output, 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: output 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('''output''')
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
@lazy_property
def outputGroups(self, **KWS):
## CHEETAH: generated from @def outputGroups at line 31, 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
return len(VFFSL(SL,"momentGroups",True))
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def functionPrototypes(self, **KWS):
## CHEETAH: generated from @def functionPrototypes at line 35, 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(Output, self).functionPrototypes()
if _v is not None: write(_filter(_v))
#
write('''void _write_output();
''')
#
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def functionImplementations(self, **KWS):
## CHEETAH: generated from @def functionImplementations at line 43, 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(Output, self).functionImplementations()
if _v is not None: write(_filter(_v))
#
_v = VFFSL(SL,"writeOutFunctionImplementation",True) # '${writeOutFunctionImplementation}' on line 47, col 1
if _v is not None: write(_filter(_v, rawExpr='${writeOutFunctionImplementation}')) # from line 47, col 1.
#
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def writeOutFunctionImplementation(self, **KWS):
## CHEETAH: generated from @def writeOutFunctionImplementation at line 51, 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('''void _write_output()
{
_LOG(_SIMULATION_LOG_LEVEL, "Generating output for ''')
_v = VFFSL(SL,"simulationName",True) # '${simulationName}' on line 54, col 54
if _v is not None: write(_filter(_v, rawExpr='${simulationName}')) # from line 54, col 54.
write('''\\n");
''')
if not VFFSL(SL,"momentGroups",True): # generated from line 56, col 3
write(''' _LOG(_SIMULATION_LOG_LEVEL, "Warning: No output moment groups.\\n");
''')
else: # generated from line 58, col 3
featureOrdering = ['Driver', 'ChunkedOutput']
write(''' ''')
_v = VFFSL(SL,"insertCodeForFeatures",False)('writeOutBegin', featureOrdering) # "${insertCodeForFeatures('writeOutBegin', featureOrdering), autoIndent=True}" on line 60, col 3
if _v is not None: write(_filter(_v, autoIndent=True, rawExpr="${insertCodeForFeatures('writeOutBegin', featureOrdering), autoIndent=True}")) # from line 60, col 3.
write('''
''')
_v = VFN(VFFSL(SL,"outputFormat",True),"writeOutSetup",False)(''.join(['("',str(VFFSL(SL,"filename",True)),'" + gsArgsAndValues).c_str()']), self) # '${outputFormat.writeOutSetup(c\'("${filename}" + gsArgsAndValues).c_str()\', self), autoIndent=True}' on line 62, col 3
if _v is not None: write(_filter(_v, autoIndent=True, rawExpr='${outputFormat.writeOutSetup(c\'("${filename}" + gsArgsAndValues).c_str()\', self), autoIndent=True}')) # from line 62, col 3.
for momentGroup in VFFSL(SL,"momentGroups",True): # generated from line 63, col 5
write(''' ''')
_v = VFN(VFN(VFFSL(SL,"momentGroup",True),"functions",True)['writeOut'],"call",False)(_outfile = '_outfile') # "${momentGroup.functions['writeOut'].call(_outfile = '_outfile')}" on line 64, col 3
if _v is not None: write(_filter(_v, rawExpr="${momentGroup.functions['writeOut'].call(_outfile = '_outfile')}")) # from line 64, col 3.
write('''
''')
write('''
''')
_v = VFFSL(SL,"outputFormat.writeOutTearDown",True) # '${outputFormat.writeOutTearDown, autoIndent=True}' on line 67, col 3
if _v is not None: write(_filter(_v, autoIndent=True, rawExpr='${outputFormat.writeOutTearDown, autoIndent=True}')) # from line 67, col 3.
write('''
''')
_v = VFFSL(SL,"insertCodeForFeaturesInReverseOrder",False)('writeOutEnd', featureOrdering) # "${insertCodeForFeaturesInReverseOrder('writeOutEnd', featureOrdering), autoIndent=True}" on line 69, col 3
if _v is not None: write(_filter(_v, autoIndent=True, rawExpr="${insertCodeForFeaturesInReverseOrder('writeOutEnd', featureOrdering), autoIndent=True}")) # from line 69, col 3.
write('''}
''')
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def writeOutFunctionImplementationBody(self, dict, **KWS):
## CHEETAH: generated from @def writeOutFunctionImplementationBody($dict) at line 74, col 1.
trans = KWS.get("trans")
if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)):
trans = self.transaction # is None unless self.awake() was called
if not trans:
trans = DummyTransaction()
_dummyTrans = True
else: _dummyTrans = False
write = trans.response().write
SL = self._CHEETAH__searchList
_filter = self._CHEETAH__currentFilter
########################################
## START - generated method body
dict.setdefault('baseFilename', ''.join(['("',str(VFFSL(SL,"filename",True)),'" + gsArgsAndValues).c_str()']))
dict.setdefault('outputGroupFilenameSuffix', '_' + dict['caller'].name)
_v = VFN(VFFSL(SL,"outputFormat",True),"writeOutFunctionImplementationBody",False)(dict) # '${outputFormat.writeOutFunctionImplementationBody(dict)}' on line 77, col 1
if _v is not None: write(_filter(_v, rawExpr='${outputFormat.writeOutFunctionImplementationBody(dict)}')) # from line 77, col 1.
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def mainEnd(self, dict, **KWS):
## CHEETAH: generated from @def mainEnd($dict) 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('''
_write_output();
''')
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def integrateFixedStepInnerLoopEnd(self, dict, **KWS):
## CHEETAH: generated from @def integrateFixedStepInnerLoopEnd($dict) at line 85, col 1.
trans = KWS.get("trans")
if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)):
trans = self.transaction # is None unless self.awake() was called
if not trans:
trans = DummyTransaction()
_dummyTrans = True
else: _dummyTrans = False
write = trans.response().write
SL = self._CHEETAH__searchList
_filter = self._CHEETAH__currentFilter
########################################
## START - generated method body
#
integrator = dict['caller']
assert len(VFFSL(SL,"momentGroups",True)) == len(VFFSL(SL,"integrator.samples",True))
#
for momentGroupNumber, sampleCount in enumerate(VFFSL(SL,"integrator.samples",True)): # generated from line 90, col 3
if VFFSL(SL,"sampleCount",True) > 0: # generated from line 91, col 5
assert (VFFSL(SL,"integrator.stepCount",True) % VFFSL(SL,"sampleCount",True)) == 0
sampleEveryNthStep = VFFSL(SL,"integrator.stepCount",True) / VFFSL(SL,"sampleCount",True)
write('''if ((_istep % ''')
_v = VFFSL(SL,"int",False)(sampleEveryNthStep) # '${int(sampleEveryNthStep)}' on line 94, col 15
if _v is not None: write(_filter(_v, rawExpr='${int(sampleEveryNthStep)}')) # from line 94, col 15.
write(''') == ''')
_v = VFFSL(SL,"sampleEveryNthStep",True) - 1 # '${sampleEveryNthStep - 1}' on line 94, col 46
if _v is not None: write(_filter(_v, rawExpr='${sampleEveryNthStep - 1}')) # from line 94, col 46.
write(''')
_mg''')
_v = VFFSL(SL,"momentGroupNumber",True) # '${momentGroupNumber}' on line 95, col 6
if _v is not None: write(_filter(_v, rawExpr='${momentGroupNumber}')) # from line 95, col 6.
write('''_sample();
''')
#
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def integrateAdaptiveStepOuterLoopEnd(self, dict, **KWS):
## CHEETAH: generated from @def integrateAdaptiveStepOuterLoopEnd($dict) at line 101, 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
#
integrator = dict['caller']
assert len(VFFSL(SL,"momentGroups",True)) == len(VFFSL(SL,"integrator.samples",True))
#
write('''if (_break_next) {
''')
for momentGroupNumber, sampleCount in enumerate(VFFSL(SL,"integrator.samples",True)): # generated from line 107, col 3
write(''' if (_next_sample_flag[''')
_v = VFFSL(SL,"momentGroupNumber",True) # '$momentGroupNumber' on line 108, col 25
if _v is not None: write(_filter(_v, rawExpr='$momentGroupNumber')) # from line 108, col 25.
write(''']) {
_mg''')
_v = VFFSL(SL,"momentGroupNumber",True) # '${momentGroupNumber}' on line 109, col 8
if _v is not None: write(_filter(_v, rawExpr='${momentGroupNumber}')) # from line 109, col 8.
write('''_sample();
_next_sample_counter[''')
_v = VFFSL(SL,"momentGroupNumber",True) # '$momentGroupNumber' on line 110, col 26
if _v is not None: write(_filter(_v, rawExpr='$momentGroupNumber')) # from line 110, col 26.
write(''']++;
}
''')
momentGroupCount = len(VFFSL(SL,"integrator.samples",True))
write(''' if (_next_sample_flag[''')
_v = VFFSL(SL,"momentGroupCount",True) # '${momentGroupCount}' on line 114, col 25
if _v is not None: write(_filter(_v, rawExpr='${momentGroupCount}')) # from line 114, col 25.
write('''])
_next_sample_flag[''')
_v = VFFSL(SL,"momentGroupCount",True) + 1 # '${momentGroupCount + 1}' on line 115, col 23
if _v is not None: write(_filter(_v, rawExpr='${momentGroupCount + 1}')) # from line 115, col 23.
write('''] = true;
else {
_break_next = false;
_''')
_v = VFFSL(SL,"propagationDimension",True) # '${propagationDimension}' on line 118, col 6
if _v is not None: write(_filter(_v, rawExpr='${propagationDimension}')) # from line 118, col 6.
write('''_break_next = _''')
_v = VFFSL(SL,"integrator.name",True) # '${integrator.name}' on line 118, col 44
if _v is not None: write(_filter(_v, rawExpr='${integrator.name}')) # from line 118, col 44.
write('''_setup_sampling(_next_sample_flag, _next_sample_counter);
}
}
if ( (_''')
_v = VFFSL(SL,"propagationDimension",True) # '${propagationDimension}' on line 122, col 8
if _v is not None: write(_filter(_v, rawExpr='${propagationDimension}')) # from line 122, col 8.
write('''_local + _step)*(1.0 + _EPSILON) > _''')
_v = VFFSL(SL,"propagationDimension",True) # '${propagationDimension}' on line 122, col 67
if _v is not None: write(_filter(_v, rawExpr='${propagationDimension}')) # from line 122, col 67.
write('''_break_next) {
_break_next = true;
_LOG(_SAMPLE_LOG_LEVEL, "Current timestep: %e\\n", _old_step);
_step = _''')
_v = VFFSL(SL,"propagationDimension",True) # '${propagationDimension}' on line 125, col 12
if _v is not None: write(_filter(_v, rawExpr='${propagationDimension}')) # from line 125, col 12.
write('''_break_next - _''')
_v = VFFSL(SL,"propagationDimension",True) # '${propagationDimension}' on line 125, col 50
if _v is not None: write(_filter(_v, rawExpr='${propagationDimension}')) # from line 125, col 50.
write('''_local;
}
''')
########################################
## 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('''
''')
#
# Output.tmpl
#
# Created by Graham Dennis on 2007-08-26.
#
# 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__
featureName = 'Output'
_mainCheetahMethod_for_Output = 'writeBody'
## END CLASS DEFINITION
if not hasattr(Output, '_initCheetahAttributes'):
templateAPIClass = getattr(Output,
'_CHEETAH_templateClass',
Template)
templateAPIClass._addCheetahPlumbingCodeToClass(Output)
# 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=Output()).run()
|
