#!/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.Features._Feature import _Feature from xpdeint.Utilities import lazy_property ################################################## ## 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__ = 1484975071.410333 __CHEETAH_genTimestamp__ = 'Sat Jan 21 16:04:31 2017' __CHEETAH_src__ = '/home/mattias/xmds-2.2.3/admin/staging/xmds-2.2.3/xpdeint/Features/Output.tmpl' __CHEETAH_srcLastModified__ = 'Mon Sep 3 14:15:51 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 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 25, 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'''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 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 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 33, 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(u'''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 41, 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) # u'${writeOutFunctionImplementation}' on line 45, col 1 if _v is not None: write(_filter(_v, rawExpr=u'${writeOutFunctionImplementation}')) # from line 45, col 1. # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def writeOutFunctionImplementation(self, **KWS): ## CHEETAH: generated from @def writeOutFunctionImplementation at line 49, 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'''void _write_output() { _LOG(_SIMULATION_LOG_LEVEL, "Generating output for ''') _v = VFFSL(SL,"simulationName",True) # u'${simulationName}' on line 52, col 54 if _v is not None: write(_filter(_v, rawExpr=u'${simulationName}')) # from line 52, col 54. write(u'''\\n"); ''') if not VFFSL(SL,"momentGroups",True): # generated from line 54, col 3 write(u''' _LOG(_SIMULATION_LOG_LEVEL, "Warning: No output moment groups.\\n"); ''') else: # generated from line 56, col 3 featureOrdering = ['Driver', 'ChunkedOutput'] write(u''' ''') _v = VFFSL(SL,"insertCodeForFeatures",False)('writeOutBegin', featureOrdering) # u"${insertCodeForFeatures('writeOutBegin', featureOrdering), autoIndent=True}" on line 58, col 3 if _v is not None: write(_filter(_v, autoIndent=True, rawExpr=u"${insertCodeForFeatures('writeOutBegin', featureOrdering), autoIndent=True}")) # from line 58, col 3. write(u''' ''') _v = VFN(VFFSL(SL,"outputFormat",True),"writeOutSetup",False)(''.join([u'("',str(VFFSL(SL,"filename",True)),u'" + gsArgsAndValues).c_str()']), self) # u'${outputFormat.writeOutSetup(c\'("${filename}" + gsArgsAndValues).c_str()\', self), autoIndent=True}' on line 60, col 3 if _v is not None: write(_filter(_v, autoIndent=True, rawExpr=u'${outputFormat.writeOutSetup(c\'("${filename}" + gsArgsAndValues).c_str()\', self), autoIndent=True}')) # from line 60, col 3. for momentGroup in VFFSL(SL,"momentGroups",True): # generated from line 61, col 5 write(u''' ''') _v = VFN(VFN(VFFSL(SL,"momentGroup",True),"functions",True)['writeOut'],"call",False)(_outfile = '_outfile') # u"${momentGroup.functions['writeOut'].call(_outfile = '_outfile')}" on line 62, col 3 if _v is not None: write(_filter(_v, rawExpr=u"${momentGroup.functions['writeOut'].call(_outfile = '_outfile')}")) # from line 62, col 3. write(u''' ''') write(u''' ''') _v = VFFSL(SL,"outputFormat.writeOutTearDown",True) # u'${outputFormat.writeOutTearDown, autoIndent=True}' on line 65, col 3 if _v is not None: write(_filter(_v, autoIndent=True, rawExpr=u'${outputFormat.writeOutTearDown, autoIndent=True}')) # from line 65, col 3. write(u''' ''') _v = VFFSL(SL,"insertCodeForFeaturesInReverseOrder",False)('writeOutEnd', featureOrdering) # u"${insertCodeForFeaturesInReverseOrder('writeOutEnd', featureOrdering), autoIndent=True}" on line 67, col 3 if _v is not None: write(_filter(_v, autoIndent=True, rawExpr=u"${insertCodeForFeaturesInReverseOrder('writeOutEnd', featureOrdering), autoIndent=True}")) # from line 67, col 3. write(u'''} ''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def writeOutFunctionImplementationBody(self, dict, **KWS): ## CHEETAH: generated from @def writeOutFunctionImplementationBody($dict) at line 72, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body dict.setdefault('baseFilename', ''.join([u'("',str(VFFSL(SL,"filename",True)),u'" + gsArgsAndValues).c_str()'])) dict.setdefault('outputGroupFilenameSuffix', '_' + dict['caller'].name) _v = VFN(VFFSL(SL,"outputFormat",True),"writeOutFunctionImplementationBody",False)(dict) # u'${outputFormat.writeOutFunctionImplementationBody(dict)}' on line 75, col 1 if _v is not None: write(_filter(_v, rawExpr=u'${outputFormat.writeOutFunctionImplementationBody(dict)}')) # from line 75, col 1. ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def mainEnd(self, dict, **KWS): ## CHEETAH: generated from @def mainEnd($dict) at line 78, 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''' _write_output(); ''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def integrateFixedStepInnerLoopEnd(self, dict, **KWS): ## CHEETAH: generated from @def integrateFixedStepInnerLoopEnd($dict) at line 83, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # integrator = dict['caller'] assert len(VFFSL(SL,"momentGroups",True)) == len(VFFSL(SL,"integrator.samples",True)) # for momentGroupNumber, sampleCount in enumerate(VFFSL(SL,"integrator.samples",True)): # generated from line 88, col 3 if VFFSL(SL,"sampleCount",True) > 0: # generated from line 89, col 5 assert (VFFSL(SL,"integrator.stepCount",True) % VFFSL(SL,"sampleCount",True)) == 0 sampleEveryNthStep = VFFSL(SL,"integrator.stepCount",True) / VFFSL(SL,"sampleCount",True) write(u'''if ((_istep % ''') _v = VFFSL(SL,"sampleEveryNthStep",True) # u'$sampleEveryNthStep' on line 92, col 15 if _v is not None: write(_filter(_v, rawExpr=u'$sampleEveryNthStep')) # from line 92, col 15. write(u''') == ''') _v = VFFSL(SL,"sampleEveryNthStep",True) - 1 # u'${sampleEveryNthStep - 1}' on line 92, col 39 if _v is not None: write(_filter(_v, rawExpr=u'${sampleEveryNthStep - 1}')) # from line 92, col 39. write(u''') _mg''') _v = VFFSL(SL,"momentGroupNumber",True) # u'${momentGroupNumber}' on line 93, col 6 if _v is not None: write(_filter(_v, rawExpr=u'${momentGroupNumber}')) # from line 93, col 6. write(u'''_sample(); ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def integrateAdaptiveStepOuterLoopEnd(self, dict, **KWS): ## CHEETAH: generated from @def integrateAdaptiveStepOuterLoopEnd($dict) at line 99, 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(u'''if (_break_next) { ''') for momentGroupNumber, sampleCount in enumerate(VFFSL(SL,"integrator.samples",True)): # generated from line 105, col 3 write(u''' if (_next_sample_flag[''') _v = VFFSL(SL,"momentGroupNumber",True) # u'$momentGroupNumber' on line 106, col 25 if _v is not None: write(_filter(_v, rawExpr=u'$momentGroupNumber')) # from line 106, col 25. write(u''']) { _mg''') _v = VFFSL(SL,"momentGroupNumber",True) # u'${momentGroupNumber}' on line 107, col 8 if _v is not None: write(_filter(_v, rawExpr=u'${momentGroupNumber}')) # from line 107, col 8. write(u'''_sample(); _next_sample_counter[''') _v = VFFSL(SL,"momentGroupNumber",True) # u'$momentGroupNumber' on line 108, col 26 if _v is not None: write(_filter(_v, rawExpr=u'$momentGroupNumber')) # from line 108, col 26. write(u''']++; } ''') momentGroupCount = len(VFFSL(SL,"integrator.samples",True)) write(u''' if (_next_sample_flag[''') _v = VFFSL(SL,"momentGroupCount",True) # u'${momentGroupCount}' on line 112, col 25 if _v is not None: write(_filter(_v, rawExpr=u'${momentGroupCount}')) # from line 112, col 25. write(u''']) _next_sample_flag[''') _v = VFFSL(SL,"momentGroupCount",True) + 1 # u'${momentGroupCount + 1}' on line 113, col 23 if _v is not None: write(_filter(_v, rawExpr=u'${momentGroupCount + 1}')) # from line 113, col 23. write(u'''] = true; else { _break_next = false; _''') _v = VFFSL(SL,"propagationDimension",True) # u'${propagationDimension}' on line 116, col 6 if _v is not None: write(_filter(_v, rawExpr=u'${propagationDimension}')) # from line 116, col 6. write(u'''_break_next = _''') _v = VFFSL(SL,"integrator.name",True) # u'${integrator.name}' on line 116, col 44 if _v is not None: write(_filter(_v, rawExpr=u'${integrator.name}')) # from line 116, col 44. write(u'''_setup_sampling(_next_sample_flag, _next_sample_counter); } } if ( (_''') _v = VFFSL(SL,"propagationDimension",True) # u'${propagationDimension}' on line 120, col 8 if _v is not None: write(_filter(_v, rawExpr=u'${propagationDimension}')) # from line 120, col 8. write(u'''_local + _step)*(1.0 + _EPSILON) > _''') _v = VFFSL(SL,"propagationDimension",True) # u'${propagationDimension}' on line 120, col 67 if _v is not None: write(_filter(_v, rawExpr=u'${propagationDimension}')) # from line 120, col 67. write(u'''_break_next) { _break_next = true; _LOG(_SAMPLE_LOG_LEVEL, "Current timestep: %e\\n", _old_step); _step = _''') _v = VFFSL(SL,"propagationDimension",True) # u'${propagationDimension}' on line 123, col 12 if _v is not None: write(_filter(_v, rawExpr=u'${propagationDimension}')) # from line 123, col 12. write(u'''_break_next - _''') _v = VFFSL(SL,"propagationDimension",True) # u'${propagationDimension}' on line 123, col 50 if _v is not None: write(_filter(_v, rawExpr=u'${propagationDimension}')) # from line 123, col 50. write(u'''_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 # # 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 . # 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__ 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 http://www.CheetahTemplate.org/ ################################################## ## if run from command line: if __name__ == '__main__': from Cheetah.TemplateCmdLineIface import CmdLineIface CmdLineIface(templateObj=Output()).run()