#!/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._ChunkedOutput import _ChunkedOutput ################################################## ## 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__ = 1413234538.239109 __CHEETAH_genTimestamp__ = 'Tue Oct 14 08:08:58 2014' __CHEETAH_src__ = '/Users/graham/Library/XMDS/src/xmds2/admin/staging/xmds-2.2.2/xpdeint/Features/ChunkedOutput.tmpl' __CHEETAH_srcLastModified__ = 'Wed Aug 1 11:52:34 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 ChunkedOutput(_ChunkedOutput): ################################################## ## CHEETAH GENERATED METHODS def __init__(self, *args, **KWs): super(ChunkedOutput, 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: Chunked Output at line 24, 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'''Chunked Output''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def defines(self, **KWS): ## CHEETAH: generated from @def defines 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 # _v = super(ChunkedOutput, self).defines() if _v is not None: write(_filter(_v)) # write(u''' #define _CHUNK_SIZE ((long)''') _v = VFFSL(SL,"chunkSize",True) # u'$chunkSize' on line 32, col 28 if _v is not None: write(_filter(_v, rawExpr=u'$chunkSize')) # from line 32, col 28. write(u''') ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def preAllocation(self, dict, **KWS): ## CHEETAH: generated from @def preAllocation($dict) at line 36, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # for mg in VFFSL(SL,"momentGroups",True): # generated from line 38, col 3 propDimRep = mg.propDimRep if not propDimRep: # generated from line 40, col 5 continue _v = VFFSL(SL,"propDimRep.localLattice",True) # u'${propDimRep.localLattice}' on line 43, col 1 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.localLattice}')) # from line 43, col 1. write(u''' = ''') _v = VFFSL(SL,"propDimRep.globalLattice",True) # u'${propDimRep.globalLattice}' on line 43, col 30 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.globalLattice}')) # from line 43, col 30. write(u'''; if (''') _v = VFN(VFFSL(SL,"mg.processedVector",True),"sizeInBasis",False)(mg.codeBlocks['sampling'].basis) # u"${mg.processedVector.sizeInBasis(mg.codeBlocks['sampling'].basis)}" on line 44, col 5 if _v is not None: write(_filter(_v, rawExpr=u"${mg.processedVector.sizeInBasis(mg.codeBlocks['sampling'].basis)}")) # from line 44, col 5. write(u''') ''') _v = VFFSL(SL,"propDimRep.localLattice",True) # u'${propDimRep.localLattice}' on line 45, col 3 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.localLattice}')) # from line 45, col 3. write(u''' = MIN((_CHUNK_SIZE-1) / (''') _v = VFN(VFFSL(SL,"mg.processedVector",True),"sizeInBasis",False)(mg.codeBlocks['sampling'].basis) # u"${mg.processedVector.sizeInBasis(mg.codeBlocks['sampling'].basis)}" on line 45, col 55 if _v is not None: write(_filter(_v, rawExpr=u"${mg.processedVector.sizeInBasis(mg.codeBlocks['sampling'].basis)}")) # from line 45, col 55. write(u''' / ''') _v = VFFSL(SL,"propDimRep.globalLattice",True) # u'${propDimRep.globalLattice}' on line 45, col 124 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.globalLattice}')) # from line 45, col 124. write(u''' * sizeof(''') _v = VFFSL(SL,"mg.processedVector.type",True) # u'${mg.processedVector.type}' on line 45, col 161 if _v is not None: write(_filter(_v, rawExpr=u'${mg.processedVector.type}')) # from line 45, col 161. write(u''')) + 1, ''') _v = VFFSL(SL,"propDimRep.globalLattice",True) # u'${propDimRep.globalLattice}' on line 45, col 195 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.globalLattice}')) # from line 45, col 195. write(u'''); ''') _v = VFFSL(SL,"insertCodeForFeatures",False)('findMax', ['Driver'], {'variable': '&' + propDimRep.localLattice, 'count': 1, 'op': 'min', 'type': 'long'}) # u"${insertCodeForFeatures('findMax', ['Driver'], {'variable': '&' + propDimRep.localLattice, 'count': 1, 'op': 'min', 'type': 'long'}), autoIndent=True}" on line 46, col 1 if _v is not None: write(_filter(_v, autoIndent=True, rawExpr=u"${insertCodeForFeatures('findMax', ['Driver'], {'variable': '&' + propDimRep.localLattice, 'count': 1, 'op': 'min', 'type': 'long'}), autoIndent=True}")) # from line 46, col 1. write(u'''// Now find the minimum and broadcast it. ''') # Initialise output files outputFeature = VFFSL(SL,"features",True)['Output'] _v = VFN(VFFSL(SL,"outputFeature.outputFormat",True),"writeOutSetup",False)(''.join([u'("',str(VFFSL(SL,"outputFeature.filename",True)),u'" + gsArgsAndValues).c_str()']), outputFeature) # u'${outputFeature.outputFormat.writeOutSetup(c\'("${outputFeature.filename}" + gsArgsAndValues).c_str()\', outputFeature)}' on line 51, col 1 if _v is not None: write(_filter(_v, rawExpr=u'${outputFeature.outputFormat.writeOutSetup(c\'("${outputFeature.filename}" + gsArgsAndValues).c_str()\', outputFeature)}')) # from line 51, col 1. _v = VFFSL(SL,"outputFeature.outputFormat.writeOutTearDown",True) # u'${outputFeature.outputFormat.writeOutTearDown}' on line 52, col 1 if _v is not None: write(_filter(_v, rawExpr=u'${outputFeature.outputFormat.writeOutTearDown}')) # from line 52, col 1. # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def sampleFunctionEnd(self, dict, **KWS): ## CHEETAH: generated from @def sampleFunctionEnd($dict) at line 56, 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 # mg = dict['caller'] propDimRep = mg.propDimRep # if not propDimRep: # generated from line 61, col 3 return write(u'''if (''') _v = VFFSL(SL,"propDimRep.index",True) # u'${propDimRep.index}' on line 64, col 5 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.index}')) # from line 64, col 5. write(u''' == ''') _v = VFFSL(SL,"propDimRep.localLattice",True) # u'${propDimRep.localLattice}' on line 64, col 28 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.localLattice}')) # from line 64, col 28. write(u''' && (''') _v = VFFSL(SL,"propDimRep.index",True) # u'${propDimRep.index}' on line 65, col 9 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.index}')) # from line 65, col 9. write(u''' + ''') _v = VFFSL(SL,"propDimRep.localOffset",True) # u'${propDimRep.localOffset}' on line 65, col 31 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.localOffset}')) # from line 65, col 31. write(u''') != ''') _v = VFFSL(SL,"propDimRep.globalLattice",True) # u'${propDimRep.globalLattice}' on line 65, col 61 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.globalLattice}')) # from line 65, col 61. write(u''') { ''') _v = VFN(VFN(VFFSL(SL,"mg",True),"functions",True)['writeOut'],"call",False)(_outfile='NULL') # u"${mg.functions['writeOut'].call(_outfile='NULL'), autoIndent=True}" on line 67, col 3 if _v is not None: write(_filter(_v, autoIndent=True, rawExpr=u"${mg.functions['writeOut'].call(_outfile='NULL'), autoIndent=True}")) # from line 67, col 3. write(u''' _LOG(_SIMULATION_LOG_LEVEL, "Written a chunk of moment group ''') _v = VFFSL(SL,"mg.number",True)+1 # u'${mg.number+1}' on line 68, col 64 if _v is not None: write(_filter(_v, rawExpr=u'${mg.number+1}')) # from line 68, col 64. write(u'''\\n"); ''') _v = VFFSL(SL,"propDimRep.localOffset",True) # u'${propDimRep.localOffset}' on line 69, col 3 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.localOffset}')) # from line 69, col 3. write(u''' += ''') _v = VFFSL(SL,"propDimRep.index",True) # u'${propDimRep.index}' on line 69, col 32 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.index}')) # from line 69, col 32. write(u'''; ''') _v = VFFSL(SL,"propDimRep.index",True) # u'${propDimRep.index}' on line 70, col 3 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.index}')) # from line 70, col 3. write(u''' = 0; ''') if mg.integratingComponents: # generated from line 71, col 3 write(u''' ''') _v = VFFSL(SL,"mg.rawVector.initialise",True) # u'${mg.rawVector.initialise, autoIndent=True}' on line 72, col 3 if _v is not None: write(_filter(_v, autoIndent=True, rawExpr=u'${mg.rawVector.initialise, autoIndent=True}')) # from line 72, col 3. write(u'''} ''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def writeOutBegin(self, dict, **KWS): ## CHEETAH: generated from @def writeOutBegin($dict) at line 77, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # for mg in VFFSL(SL,"momentGroups",True): # generated from line 79, col 3 propDimRep = mg.propDimRep if not propDimRep: # generated from line 81, col 5 continue _v = VFFSL(SL,"propDimRep.localLattice",True) # u'${propDimRep.localLattice}' on line 84, col 1 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.localLattice}')) # from line 84, col 1. write(u''' = ''') _v = VFFSL(SL,"propDimRep.index",True) # u'${propDimRep.index}' on line 84, col 30 if _v is not None: write(_filter(_v, rawExpr=u'${propDimRep.index}')) # from line 84, col 30. 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 # # ChunkedOutput.tmpl # # Created by Graham Dennis on 2010-09-17. # # Copyright (c) 2010-2012, 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 = 'ChunkedOutput' _mainCheetahMethod_for_ChunkedOutput= 'writeBody' ## END CLASS DEFINITION if not hasattr(ChunkedOutput, '_initCheetahAttributes'): templateAPIClass = getattr(ChunkedOutput, '_CHEETAH_templateClass', Template) templateAPIClass._addCheetahPlumbingCodeToClass(ChunkedOutput) # 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=ChunkedOutput()).run()