#!/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._ErrorCheck import _ErrorCheck ################################################## ## 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__ = 1558054969.7155046 __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/ErrorCheck.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 ErrorCheck(_ErrorCheck): ################################################## ## CHEETAH GENERATED METHODS def __init__(self, *args, **KWs): super(ErrorCheck, 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: error check 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 write('''error check''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def globals(self, **KWS): ## CHEETAH: generated from @def globals 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 # _v = super(ErrorCheck, self).globals() if _v is not None: write(_filter(_v)) # write('''bool _half_step; ''') for momentGroup in VFFSL(SL,"momentGroups",True): # generated from line 34, col 3 momentGroupOutputField = VFFSL(SL,"momentGroup.outputField",True) write(''' // Arrays for full- and half-step moment group results real* _''') _v = VFFSL(SL,"momentGroupOutputField.name",True) # '${momentGroupOutputField.name}' on line 38, col 8 if _v is not None: write(_filter(_v, rawExpr='${momentGroupOutputField.name}')) # from line 38, col 8. write('''_fullstep; ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def topLevelSequenceBegin(self, dict, **KWS): ## CHEETAH: generated from @def topLevelSequenceBegin($dict) at line 43, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # # Loop over moment groups allocating half step array # and saving the pointer to the original array # Note that we allocate the half step array now and not # later when we actually need it so that if allocating it would # cause us to run out of virtual memory, we do that at the *start* # of the simulation, not half way through for momentGroup in VFFSL(SL,"momentGroups",True): # generated from line 51, col 3 momentGroupOutputField = VFFSL(SL,"momentGroup.outputField",True) write(''' _''') _v = VFFSL(SL,"momentGroupOutputField.name",True) # '${momentGroupOutputField.name}' on line 54, col 2 if _v is not None: write(_filter(_v, rawExpr='${momentGroupOutputField.name}')) # from line 54, col 2. write('''_fullstep = _''') _v = VFFSL(SL,"momentGroup.processedVector.id",True) # '${momentGroup.processedVector.id}' on line 54, col 45 if _v is not None: write(_filter(_v, rawExpr='${momentGroup.processedVector.id}')) # from line 54, col 45. write('''; // _''') _v = VFFSL(SL,"momentGroupOutputField.name",True) # '${momentGroupOutputField.name}' on line 55, col 5 if _v is not None: write(_filter(_v, rawExpr='${momentGroupOutputField.name}')) # from line 55, col 5. write('''_halfstep has already been allocated ''') write(''' for (_half_step = false; ; _half_step = true) { if (!_half_step) { _LOG(_SIMULATION_LOG_LEVEL, "Beginning full step integration ...\\n"); ''') # Loop over the moment groups setting the output field to the fullstep fiel for momentGroup in VFFSL(SL,"momentGroups",True): # generated from line 63, col 3 momentGroupOutputField = VFFSL(SL,"momentGroup.outputField",True) write(''' _active_''') _v = VFFSL(SL,"momentGroup.processedVector.id",True) # '${momentGroup.processedVector.id}' on line 66, col 13 if _v is not None: write(_filter(_v, rawExpr='${momentGroup.processedVector.id}')) # from line 66, col 13. write(''' = _''') _v = VFFSL(SL,"momentGroupOutputField.name",True) # '${momentGroupOutputField.name}' on line 66, col 50 if _v is not None: write(_filter(_v, rawExpr='${momentGroupOutputField.name}')) # from line 66, col 50. write('''_fullstep; ''') write(''' } else { _LOG(_SIMULATION_LOG_LEVEL, "Beginning half step integration ...\\n"); ''') # Loop over the moment groups setting the output field to the already-allocated halfstep field for momentGroup in VFFSL(SL,"momentGroups",True): # generated from line 72, col 3 momentGroupOutputField = VFFSL(SL,"momentGroup.outputField",True) write(''' ''') for aliasName in momentGroup.processedVector.aliases: # generated from line 75, col 5 if not aliasName==''.join(['_',str(VFFSL(SL,"momentGroupOutputField.name",True)),'_halfstep']): # generated from line 76, col 7 write(''' _active_''') _v = VFFSL(SL,"momentGroup.processedVector.id",True) # '${momentGroup.processedVector.id}' on line 77, col 13 if _v is not None: write(_filter(_v, rawExpr='${momentGroup.processedVector.id}')) # from line 77, col 13. write(''' = ''') _v = VFFSL(SL,"aliasName",True) # '$aliasName' on line 77, col 49 if _v is not None: write(_filter(_v, rawExpr='$aliasName')) # from line 77, col 49. write('''; ''') _v = VFN(VFN(VFFSL(SL,"momentGroup.processedVector",True),"functions",True)['initialise'],"call",False)() # "${momentGroup.processedVector.functions['initialise'].call()}" on line 78, col 5 if _v is not None: write(_filter(_v, rawExpr="${momentGroup.processedVector.functions['initialise'].call()}")) # from line 78, col 5. write(''' ''') write(''' _active_''') _v = VFFSL(SL,"momentGroup.processedVector.id",True) # '${momentGroup.processedVector.id}' on line 82, col 13 if _v is not None: write(_filter(_v, rawExpr='${momentGroup.processedVector.id}')) # from line 82, col 13. write(''' = _''') _v = VFFSL(SL,"momentGroupOutputField.name",True) # '${momentGroupOutputField.name}' on line 82, col 50 if _v is not None: write(_filter(_v, rawExpr='${momentGroupOutputField.name}')) # from line 82, col 50. write('''_halfstep; ''') write(''' } ''') VFFSL(SL,"dict",True)['extraIndent'] += 2 # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def topLevelSequenceEnd(self, dict, **KWS): ## CHEETAH: generated from @def topLevelSequenceEnd($dict) at line 90, 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(''' if (_half_step) break; } ''') VFFSL(SL,"dict",True)['extraIndent'] -= 2 ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def writeOutFunctionImplementationBegin(self, dict, **KWS): ## CHEETAH: generated from @def writeOutFunctionImplementationBegin($dict) at line 102, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # momentGroup = dict['caller'] dependentVariables = dict['dependentVariables'] fieldName = VFFSL(SL,"momentGroup.outputField.name",True) # # So our job is to create 'error_' versions of all of the variables in the momentGroup's outputField. newVariableDict = {'vector': VFFSL(SL,"momentGroup.processedVector",True), 'arrayName': ''.join(['_',str(VFFSL(SL,"fieldName",True)),'_fullstep']), 'components': ['error_' + component for component in VFFSL(SL,"momentGroup.processedVector.components",True)], } dependentVariables.append(newVariableDict) # # Now return the template that will be used to create the error vector write('''// Copy the error into the fullstep array _''') _v = VFFSL(SL,"fieldName",True) # '${fieldName}' on line 117, col 2 if _v is not None: write(_filter(_v, rawExpr='${fieldName}')) # from line 117, col 2. write('''_fullstep[$index] = _''') _v = VFFSL(SL,"fieldName",True) # '${fieldName}' on line 117, col 36 if _v is not None: write(_filter(_v, rawExpr='${fieldName}')) # from line 117, col 36. write('''_fullstep[$index] - _''') _v = VFFSL(SL,"fieldName",True) # '${fieldName}' on line 117, col 70 if _v is not None: write(_filter(_v, rawExpr='${fieldName}')) # from line 117, col 70. write('''_halfstep[$index]; ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def createFixedStepVariable(self, dict, **KWS): ## CHEETAH: generated from @def createFixedStepVariable($dict) at line 121, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body write(''' // If we are doing half-step integration, divide the step size by 2 if (_half_step) _step /= 2.0; // Regardless, the step size for generated noise is the half-step _noiseStep /= 2.0; ''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def createToleranceVariable(self, dict, **KWS): ## CHEETAH: generated from @def createToleranceVariable($dict) at line 130, 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(''' // If we are doing half-step integration, divide the tolerance by 16 if (_half_step) _tolerance /= 16.0; ''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def integrateFixedStepInnerLoopBegin(self, dict, **KWS): ## CHEETAH: generated from @def integrateFixedStepInnerLoopBegin($dict) at line 137, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # integrator = dict['caller'] write(''' // If we are doing half-step integration, then we need to do each integrate step twice (but with half the step size) for (int _error_check_loop_iter = (_half_step ? 2 : 1); _error_check_loop_iter > 0; _error_check_loop_iter--) { ''') VFFSL(SL,"dict",True)['extraIndent'] += 2 # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def integrateFixedStepInnerLoopEnd(self, dict, **KWS): ## CHEETAH: generated from @def integrateFixedStepInnerLoopEnd($dict) at line 147, 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('''} ''') VFFSL(SL,"dict",True)['extraIndent'] -= 2 # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def writeOutFunctionImplementationBody(self, dict, **KWS): ## CHEETAH: generated from @def writeOutFunctionImplementationBody($dict) at line 154, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body momentGroup = dict['caller'] processedVector = VFFSL(SL,"momentGroup.processedVector",True) outputFieldName = momentGroup.outputField.name write('''_active_''') _v = VFFSL(SL,"processedVector.id",True) # '${processedVector.id}' on line 158, col 9 if _v is not None: write(_filter(_v, rawExpr='${processedVector.id}')) # from line 158, col 9. write(''' = _''') _v = VFFSL(SL,"outputFieldName",True) # '${outputFieldName}' on line 158, col 34 if _v is not None: write(_filter(_v, rawExpr='${outputFieldName}')) # from line 158, col 34. write('''_fullstep; ''') _v = VFN(VFFSL(SL,"processedVector",True),"findMaximum",False)('_max_step_error', basis = momentGroup.outputBasis) # "${processedVector.findMaximum('_max_step_error', basis = momentGroup.outputBasis)}" on line 160, col 1 if _v is not None: write(_filter(_v, rawExpr="${processedVector.findMaximum('_max_step_error', basis = momentGroup.outputBasis)}")) # from line 160, col 1. write(''' // Restore active pointer for processed vector _active_''') _v = VFFSL(SL,"processedVector.id",True) # '${processedVector.id}' on line 163, col 9 if _v is not None: write(_filter(_v, rawExpr='${processedVector.id}')) # from line 163, col 9. write(''' = _''') _v = VFFSL(SL,"outputFieldName",True) # '${outputFieldName}' on line 163, col 34 if _v is not None: write(_filter(_v, rawExpr='${outputFieldName}')) # from line 163, col 34. write('''_halfstep; _LOG(_SIMULATION_LOG_LEVEL, "Maximum step error in moment group ''') _v = VFFSL(SL,"momentGroup.number",True)+1 # '${momentGroup.number+1}' on line 165, col 65 if _v is not None: write(_filter(_v, rawExpr='${momentGroup.number+1}')) # from line 165, col 65. write(''' was %e\\n", _max_step_error); ''') ######################################## ## 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(''' ''') # # ErrorCheck.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(''' ''') # # This function returns a Cheetah template string suitable for passing to loopOverVectorsWithInnerContentTemplate 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 = 'ErrorCheck' _mainCheetahMethod_for_ErrorCheck = 'writeBody' ## END CLASS DEFINITION if not hasattr(ErrorCheck, '_initCheetahAttributes'): templateAPIClass = getattr(ErrorCheck, '_CHEETAH_templateClass', Template) templateAPIClass._addCheetahPlumbingCodeToClass(ErrorCheck) # 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=ErrorCheck()).run()