#!/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._ChunkedOutput import _ChunkedOutput ################################################## ## 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__ = 1558054969.8623178 __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/ChunkedOutput.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 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 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('''Chunked Output''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def defines(self, **KWS): ## CHEETAH: generated from @def defines 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(ChunkedOutput, self).defines() if _v is not None: write(_filter(_v)) # write(''' #define _CHUNK_SIZE ((long)''') _v = VFFSL(SL,"chunkSize",True) # '$chunkSize' on line 34, col 28 if _v is not None: write(_filter(_v, rawExpr='$chunkSize')) # from line 34, col 28. write(''') ''') # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def preAllocation(self, dict, **KWS): ## CHEETAH: generated from @def preAllocation($dict) at line 38, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # for mg in VFFSL(SL,"momentGroups",True): # generated from line 40, col 3 propDimRep = mg.propDimRep if not propDimRep: # generated from line 42, col 5 continue _v = VFFSL(SL,"propDimRep.localLattice",True) # '${propDimRep.localLattice}' on line 45, col 1 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.localLattice}')) # from line 45, col 1. write(''' = ''') _v = VFFSL(SL,"propDimRep.globalLattice",True) # '${propDimRep.globalLattice}' on line 45, col 30 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.globalLattice}')) # from line 45, col 30. write('''; if (''') _v = VFN(VFFSL(SL,"mg.processedVector",True),"sizeInBasis",False)(mg.codeBlocks['sampling'].basis) # "${mg.processedVector.sizeInBasis(mg.codeBlocks['sampling'].basis)}" on line 46, col 5 if _v is not None: write(_filter(_v, rawExpr="${mg.processedVector.sizeInBasis(mg.codeBlocks['sampling'].basis)}")) # from line 46, col 5. write(''') ''') _v = VFFSL(SL,"propDimRep.localLattice",True) # '${propDimRep.localLattice}' on line 47, col 3 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.localLattice}')) # from line 47, col 3. write(''' = MIN((_CHUNK_SIZE-1) / (''') _v = VFN(VFFSL(SL,"mg.processedVector",True),"sizeInBasis",False)(mg.codeBlocks['sampling'].basis) # "${mg.processedVector.sizeInBasis(mg.codeBlocks['sampling'].basis)}" on line 47, col 55 if _v is not None: write(_filter(_v, rawExpr="${mg.processedVector.sizeInBasis(mg.codeBlocks['sampling'].basis)}")) # from line 47, col 55. write(''' / ''') _v = VFFSL(SL,"propDimRep.globalLattice",True) # '${propDimRep.globalLattice}' on line 47, col 124 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.globalLattice}')) # from line 47, col 124. write(''' * sizeof(''') _v = VFFSL(SL,"mg.processedVector.type",True) # '${mg.processedVector.type}' on line 47, col 161 if _v is not None: write(_filter(_v, rawExpr='${mg.processedVector.type}')) # from line 47, col 161. write(''')) + 1, ''') _v = VFFSL(SL,"propDimRep.globalLattice",True) # '${propDimRep.globalLattice}' on line 47, col 195 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.globalLattice}')) # from line 47, col 195. write('''); ''') _v = VFFSL(SL,"insertCodeForFeatures",False)('findMax', ['Driver'], {'variable': '&' + propDimRep.localLattice, 'count': 1, 'op': 'min', 'type': 'long'}) # "${insertCodeForFeatures('findMax', ['Driver'], {'variable': '&' + propDimRep.localLattice, 'count': 1, 'op': 'min', 'type': 'long'}), autoIndent=True}" on line 48, col 1 if _v is not None: write(_filter(_v, autoIndent=True, rawExpr="${insertCodeForFeatures('findMax', ['Driver'], {'variable': '&' + propDimRep.localLattice, 'count': 1, 'op': 'min', 'type': 'long'}), autoIndent=True}")) # from line 48, col 1. write('''// Now find the minimum and broadcast it. ''') # Initialise output files outputFeature = VFFSL(SL,"features",True)['Output'] _v = VFN(VFFSL(SL,"outputFeature.outputFormat",True),"writeOutSetup",False)(''.join(['("',str(VFFSL(SL,"outputFeature.filename",True)),'" + gsArgsAndValues).c_str()']), outputFeature) # '${outputFeature.outputFormat.writeOutSetup(c\'("${outputFeature.filename}" + gsArgsAndValues).c_str()\', outputFeature)}' on line 53, col 1 if _v is not None: write(_filter(_v, rawExpr='${outputFeature.outputFormat.writeOutSetup(c\'("${outputFeature.filename}" + gsArgsAndValues).c_str()\', outputFeature)}')) # from line 53, col 1. _v = VFFSL(SL,"outputFeature.outputFormat.writeOutTearDown",True) # '${outputFeature.outputFormat.writeOutTearDown}' on line 54, col 1 if _v is not None: write(_filter(_v, rawExpr='${outputFeature.outputFormat.writeOutTearDown}')) # from line 54, col 1. # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def sampleFunctionEnd(self, dict, **KWS): ## CHEETAH: generated from @def sampleFunctionEnd($dict) at line 58, 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 63, col 3 return write('''if (''') _v = VFFSL(SL,"propDimRep.index",True) # '${propDimRep.index}' on line 66, col 5 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.index}')) # from line 66, col 5. write(''' == ''') _v = VFFSL(SL,"propDimRep.localLattice",True) # '${propDimRep.localLattice}' on line 66, col 28 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.localLattice}')) # from line 66, col 28. write(''' && (''') _v = VFFSL(SL,"propDimRep.index",True) # '${propDimRep.index}' on line 67, col 9 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.index}')) # from line 67, col 9. write(''' + ''') _v = VFFSL(SL,"propDimRep.localOffset",True) # '${propDimRep.localOffset}' on line 67, col 31 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.localOffset}')) # from line 67, col 31. write(''') != ''') _v = VFFSL(SL,"propDimRep.globalLattice",True) # '${propDimRep.globalLattice}' on line 67, col 61 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.globalLattice}')) # from line 67, col 61. write(''') { ''') _v = VFN(VFN(VFFSL(SL,"mg",True),"functions",True)['writeOut'],"call",False)(_outfile='NULL') # "${mg.functions['writeOut'].call(_outfile='NULL'), autoIndent=True}" on line 69, col 3 if _v is not None: write(_filter(_v, autoIndent=True, rawExpr="${mg.functions['writeOut'].call(_outfile='NULL'), autoIndent=True}")) # from line 69, col 3. write(''' _LOG(_SIMULATION_LOG_LEVEL, "Written a chunk of moment group ''') _v = VFFSL(SL,"mg.number",True)+1 # '${mg.number+1}' on line 70, col 64 if _v is not None: write(_filter(_v, rawExpr='${mg.number+1}')) # from line 70, col 64. write('''\\n"); ''') _v = VFFSL(SL,"propDimRep.localOffset",True) # '${propDimRep.localOffset}' on line 71, col 3 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.localOffset}')) # from line 71, col 3. write(''' += ''') _v = VFFSL(SL,"propDimRep.index",True) # '${propDimRep.index}' on line 71, col 32 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.index}')) # from line 71, col 32. write('''; ''') _v = VFFSL(SL,"propDimRep.index",True) # '${propDimRep.index}' on line 72, col 3 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.index}')) # from line 72, col 3. write(''' = 0; ''') if mg.integratingComponents: # generated from line 73, col 3 write(''' ''') _v = VFFSL(SL,"mg.rawVector.initialise",True) # '${mg.rawVector.initialise, autoIndent=True}' on line 74, col 3 if _v is not None: write(_filter(_v, autoIndent=True, rawExpr='${mg.rawVector.initialise, autoIndent=True}')) # from line 74, col 3. write('''} ''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def writeOutBegin(self, dict, **KWS): ## CHEETAH: generated from @def writeOutBegin($dict) at line 79, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # for mg in VFFSL(SL,"momentGroups",True): # generated from line 81, col 3 propDimRep = mg.propDimRep if not propDimRep: # generated from line 83, col 5 continue _v = VFFSL(SL,"propDimRep.localLattice",True) # '${propDimRep.localLattice}' on line 86, col 1 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.localLattice}')) # from line 86, col 1. write(''' = ''') _v = VFFSL(SL,"propDimRep.index",True) # '${propDimRep.index}' on line 86, col 30 if _v is not None: write(_filter(_v, rawExpr='${propDimRep.index}')) # from line 86, col 30. write('''; ''') # ######################################## ## 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(''' ''') # # 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(''' ''') ######################################## ## 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 https://cheetahtemplate.org/ ################################################## ## if run from command line: if __name__ == '__main__': from Cheetah.TemplateCmdLineIface import CmdLineIface CmdLineIface(templateObj=ChunkedOutput()).run()