#!/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._HDF5Format import _HDF5Format from xpdeint.Geometry.SplitUniformDimensionRepresentation import SplitUniformDimensionRepresentation from xpdeint.CallOnceGuards import callOnceGuard, callOncePerInstanceGuard ################################################## ## 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__ = 1484975071.383431 __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/HDF5Format.tmpl' __CHEETAH_srcLastModified__ = 'Sun Nov 24 20:15:20 2013' __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 HDF5Format(_HDF5Format): ################################################## ## CHEETAH GENERATED METHODS def __init__(self, *args, **KWs): super(HDF5Format, 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: HDF5 output format 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(u'''HDF5 output format''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" @callOnceGuard def includes(self, **KWS): ## CHEETAH: generated from @def includes at line 32, 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(HDF5Format, self).includes() if _v is not None: write(_filter(_v)) # write(u'''#if defined(HAVE_HDF5_HL) #include #endif ''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def writeOutFunctionImplementationBody(self, dict, **KWS): ## CHEETAH: generated from @def writeOutFunctionImplementationBody($dict) at line 41, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # _v = VFFSL(SL,"writeOutFunctionImplementationBegin",False)(dict) # u'${writeOutFunctionImplementationBegin(dict)}' on line 43, col 1 if _v is not None: write(_filter(_v, rawExpr=u'${writeOutFunctionImplementationBegin(dict)}')) # from line 43, col 1. write(u''' ''') featureOrdering = ['Driver'] featureDict = dict.copy() featureDict['extraIndent'] = 0 _v = VFFSL(SL,"insertCodeForFeatures",False)('binaryWriteOutBegin', featureOrdering, featureDict) # u"${insertCodeForFeatures('binaryWriteOutBegin', featureOrdering, featureDict)}" on line 48, col 1 if _v is not None: write(_filter(_v, rawExpr=u"${insertCodeForFeatures('binaryWriteOutBegin', featureOrdering, featureDict)}")) # from line 48, col 1. extraIndent = featureDict['extraIndent'] write(u''' ''') _v = VFFSL(SL,"writeOutFunctionContents",False)(dict) # u'${writeOutFunctionContents(dict), extraIndent=extraIndent}' on line 51, col 1 if _v is not None: write(_filter(_v, extraIndent=extraIndent, rawExpr=u'${writeOutFunctionContents(dict), extraIndent=extraIndent}')) # from line 51, col 1. write(u''' ''') _v = VFFSL(SL,"insertCodeForFeaturesInReverseOrder",False)('binaryWriteOutEnd', featureOrdering, featureDict) # u"${insertCodeForFeaturesInReverseOrder('binaryWriteOutEnd', featureOrdering, featureDict)}" on line 53, col 1 if _v is not None: write(_filter(_v, rawExpr=u"${insertCodeForFeaturesInReverseOrder('binaryWriteOutEnd', featureOrdering, featureDict)}")) # from line 53, col 1. write(u''' ''') _v = VFFSL(SL,"writeOutFunctionImplementationEnd",False)(dict) # u'${writeOutFunctionImplementationEnd(dict)}' on line 55, col 1 if _v is not None: write(_filter(_v, rawExpr=u'${writeOutFunctionImplementationEnd(dict)}')) # from line 55, col 1. # ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def truncateOutputFiles(self, baseFilename, **KWS): ## CHEETAH: generated from @def truncateOutputFiles($baseFilename) at line 59, 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'''char _dataFilename[200]; snprintf(_dataFilename, 200, "%s.h5", ''') _v = VFFSL(SL,"baseFilename",True) # u'${baseFilename}' on line 61, col 39 if _v is not None: write(_filter(_v, rawExpr=u'${baseFilename}')) # from line 61, col 39. write(u'''); H5Fclose(H5Fcreate(_dataFilename, H5F_ACC_TRUNC, H5P_DEFAULT, H5P_DEFAULT)); ''') ######################################## ## END - generated method body return _dummyTrans and trans.response().getvalue() or "" def writeOutFunctionContents(self, dict, **KWS): ## CHEETAH: generated from @def writeOutFunctionContents($dict) at line 67, col 1. trans = KWS.get("trans") if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)): trans = self.transaction # is None unless self.awake() was called if not trans: trans = DummyTransaction() _dummyTrans = True else: _dummyTrans = False write = trans.response().write SL = self._CHEETAH__searchList _filter = self._CHEETAH__currentFilter ######################################## ## START - generated method body # fp = dict['fp'] baseFilename = dict['baseFilename'] groupID = dict['groupID'] field = dict['field'] basis = dict['basis'] dependentVariables = dict['dependentVariables'] componentCount = 0 for variable in VFFSL(SL,"dependentVariables",True): # generated from line 76, col 3 componentCount += len(VFFSL(SL,"variable.vector.components",True)) if VFFSL(SL,"variable.vector.type",True) == 'complex': # generated from line 78, col 5 componentCount += len(VFFSL(SL,"variable.vector.components",True)) dict['componentCount'] = componentCount # write(u'''char _h5Filename[200]; snprintf(_h5Filename, 200, "%s.h5", ''') _v = VFFSL(SL,"baseFilename",True) # u'${baseFilename}' on line 85, col 37 if _v is not None: write(_filter(_v, rawExpr=u'${baseFilename}')) # from line 85, col 37. write(u'''); /* Open the file */ hid_t hdf5_file = H5Fopen(_h5Filename, H5F_ACC_RDWR, H5P_DEFAULT); if (hdf5_file < 0) { _LOG(_WARNING_LOG_LEVEL, "Failed to open HDF5 file \'%s\', will try to create it.", _h5Filename); hdf5_file = H5Fcreate(_h5Filename, H5F_ACC_EXCL, H5P_DEFAULT, H5P_DEFAULT); if (hdf5_file < 0) { _LOG(_ERROR_LOG_LEVEL, "Failed to create HDF5 file \'%s\'. Bailing.", _h5Filename); } } /* Create the group for this data */ hid_t group; if (!H5Lexists(hdf5_file, "/''') _v = VFFSL(SL,"groupID",True) # u'${groupID}' on line 99, col 29 if _v is not None: write(_filter(_v, rawExpr=u'${groupID}')) # from line 99, col 29. write(u'''", H5P_DEFAULT)) group = H5Gcreate(hdf5_file, "/''') _v = VFFSL(SL,"groupID",True) # u'${groupID}' on line 100, col 34 if _v is not None: write(_filter(_v, rawExpr=u'${groupID}')) # from line 100, col 34. write(u'''", H5P_DEFAULT); else group = H5Gopen(hdf5_file, "/''') _v = VFFSL(SL,"groupID",True) # u'${groupID}' on line 102, col 32 if _v is not None: write(_filter(_v, rawExpr=u'${groupID}')) # from line 102, col 32. write(u'''"); if (''') _v = VFFSL(SL,"fp",True) # u'$fp' on line 104, col 5 if _v is not None: write(_filter(_v, rawExpr=u'$fp')) # from line 104, col 5. write(u''') { fprintf(''') _v = VFFSL(SL,"fp",True) # u'$fp' on line 105, col 11 if _v is not None: write(_filter(_v, rawExpr=u'$fp')) # from line 105, col 11. write(u''', " \\n"); fprintf(''') _v = VFFSL(SL,"fp",True) # u'$fp' on line 106, col 11 if _v is not None: write(_filter(_v, rawExpr=u'$fp')) # from line 106, col 11. write(u''', "%s.h5\\n", ''') _v = VFFSL(SL,"baseFilename",True) # u'${baseFilename}' on line 106, col 27 if _v is not None: write(_filter(_v, rawExpr=u'${baseFilename}')) # from line 106, col 27. write(u'''); fprintf(''') _v = VFFSL(SL,"fp",True) # u'$fp' on line 107, col 11 if _v is not None: write(_filter(_v, rawExpr=u'$fp')) # from line 107, col 11. write(u''', " \\n"); } /* Create the coordinate data sets */ hsize_t coordinate_length; hid_t coordinate_dataspace; ''') for dim in field.dimensions: # generated from line 113, col 3 dimRep = dim.inBasis(basis) write(u'''coordinate_length = ''') _v = VFFSL(SL,"dimRep.globalLattice",True) # u'${dimRep.globalLattice}' on line 115, col 21 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.globalLattice}')) # from line 115, col 21. write(u'''; coordinate_dataspace = H5Screate_simple(1, &coordinate_length, NULL); ''') dataType = {'real': 'H5T_NATIVE_REAL', 'long': 'H5T_NATIVE_LONG'}[VFFSL(SL,"dimRep.type",True)] write(u'''hid_t dataset_''') _v = VFFSL(SL,"dimRep.name",True) # u'${dimRep.name}' on line 118, col 15 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.name}')) # from line 118, col 15. write(u'''; if (!H5Lexists(hdf5_file, "/''') _v = VFFSL(SL,"groupID",True) # u'${groupID}' on line 119, col 29 if _v is not None: write(_filter(_v, rawExpr=u'${groupID}')) # from line 119, col 29. write(u'''/''') _v = VFFSL(SL,"dimRep.name",True) # u'${dimRep.name}' on line 119, col 40 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.name}')) # from line 119, col 40. write(u'''", H5P_DEFAULT)) dataset_''') _v = VFFSL(SL,"dimRep.name",True) # u'${dimRep.name}' on line 120, col 11 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.name}')) # from line 120, col 11. write(u''' = H5Dcreate(hdf5_file, "/''') _v = VFFSL(SL,"groupID",True) # u'${groupID}' on line 120, col 51 if _v is not None: write(_filter(_v, rawExpr=u'${groupID}')) # from line 120, col 51. write(u'''/''') _v = VFFSL(SL,"dimRep.name",True) # u'${dimRep.name}' on line 120, col 62 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.name}')) # from line 120, col 62. write(u'''", ''') _v = VFFSL(SL,"dataType",True) # u'${dataType}' on line 120, col 79 if _v is not None: write(_filter(_v, rawExpr=u'${dataType}')) # from line 120, col 79. write(u''', coordinate_dataspace, H5P_DEFAULT); else dataset_''') _v = VFFSL(SL,"dimRep.name",True) # u'${dimRep.name}' on line 122, col 11 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.name}')) # from line 122, col 11. write(u''' = H5Dopen(hdf5_file, "/''') _v = VFFSL(SL,"groupID",True) # u'${groupID}' on line 122, col 49 if _v is not None: write(_filter(_v, rawExpr=u'${groupID}')) # from line 122, col 49. write(u'''/''') _v = VFFSL(SL,"dimRep.name",True) # u'${dimRep.name}' on line 122, col 60 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.name}')) # from line 122, col 60. write(u'''"); ''') if isinstance(dimRep, SplitUniformDimensionRepresentation): # generated from line 123, col 5 dimArrayName = ''.join([str(VFFSL(SL,"dimRep.name",True)),u'_data']) _v = VFFSL(SL,"dimRep.type",True) # u'${dimRep.type}' on line 125, col 1 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.type}')) # from line 125, col 1. write(u'''* ''') _v = VFFSL(SL,"dimArrayName",True) # u'${dimArrayName}' on line 125, col 17 if _v is not None: write(_filter(_v, rawExpr=u'${dimArrayName}')) # from line 125, col 17. write(u''' = (''') _v = VFFSL(SL,"dimRep.type",True) # u'${dimRep.type}' on line 125, col 36 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.type}')) # from line 125, col 36. write(u'''*)xmds_malloc(''') _v = VFFSL(SL,"dimRep.globalLattice",True) # u'${dimRep.globalLattice}' on line 125, col 64 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.globalLattice}')) # from line 125, col 64. write(u''' * sizeof(''') _v = VFFSL(SL,"dimRep.type",True) # u'${dimRep.type}' on line 125, col 97 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.type}')) # from line 125, col 97. write(u''')); for (long _i0 = 0; _i0 < ''') _v = VFFSL(SL,"dimRep.globalLattice",True) # u'${dimRep.globalLattice}' on line 126, col 26 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.globalLattice}')) # from line 126, col 26. write(u'''; _i0++) { ''') _v = VFFSL(SL,"dimArrayName",True) # u'${dimArrayName}' on line 127, col 3 if _v is not None: write(_filter(_v, rawExpr=u'${dimArrayName}')) # from line 127, col 3. write(u'''[_i0] = ''') _v = VFFSL(SL,"dimRep.arrayName",True) # u'${dimRep.arrayName}' on line 127, col 26 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.arrayName}')) # from line 127, col 26. write(u'''[(_i0 + (''') _v = VFFSL(SL,"dimRep.globalLattice",True) # u'${dimRep.globalLattice}' on line 127, col 54 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.globalLattice}')) # from line 127, col 54. write(u'''+1)/2) % ''') _v = VFFSL(SL,"dimRep.globalLattice",True) # u'${dimRep.globalLattice}' on line 127, col 86 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.globalLattice}')) # from line 127, col 86. write(u''']; } ''') else: # generated from line 129, col 5 dimArrayName = dimRep.arrayName write(u'''H5Dwrite(dataset_''') _v = VFFSL(SL,"dimRep.name",True) # u'${dimRep.name}' on line 132, col 18 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.name}')) # from line 132, col 18. write(u''', ''') _v = VFFSL(SL,"dataType",True) # u'$dataType' on line 132, col 34 if _v is not None: write(_filter(_v, rawExpr=u'$dataType')) # from line 132, col 34. write(u''', H5S_ALL, H5S_ALL, H5P_DEFAULT, ''') _v = VFFSL(SL,"dimArrayName",True) # u'${dimArrayName}' on line 132, col 76 if _v is not None: write(_filter(_v, rawExpr=u'${dimArrayName}')) # from line 132, col 76. write(u'''); #if defined(HAVE_HDF5_HL) H5DSset_scale(dataset_''') _v = VFFSL(SL,"dimRep.name",True) # u'${dimRep.name}' on line 134, col 25 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.name}')) # from line 134, col 25. write(u''', "''') _v = VFFSL(SL,"dimRep.name",True) # u'${dimRep.name}' on line 134, col 42 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.name}')) # from line 134, col 42. write(u'''"); #endif ''') if isinstance(dimRep, SplitUniformDimensionRepresentation): # generated from line 137, col 5 write(u'''xmds_free(''') _v = VFFSL(SL,"dimArrayName",True) # u'${dimArrayName}' on line 138, col 11 if _v is not None: write(_filter(_v, rawExpr=u'${dimArrayName}')) # from line 138, col 11. write(u'''); ''') write(u'''H5Sclose(coordinate_dataspace); ''') write(u''' hsize_t file_dims[] = {''') _v = ', '.join(dim.inBasis(basis).globalLattice for dim in field.dimensions) # u"${', '.join(dim.inBasis(basis).globalLattice for dim in field.dimensions)}" on line 143, col 24 if _v is not None: write(_filter(_v, rawExpr=u"${', '.join(dim.inBasis(basis).globalLattice for dim in field.dimensions)}")) # from line 143, col 24. write(u'''}; hid_t file_dataspace = H5Screate_simple(''') _v = VFFSL(SL,"len",False)(field.dimensions) # u'${len(field.dimensions)}' on line 144, col 41 if _v is not None: write(_filter(_v, rawExpr=u'${len(field.dimensions)}')) # from line 144, col 41. write(u''', file_dims, NULL); ''') for variable in dependentVariables: # generated from line 146, col 3 if VFFSL(SL,"variable.vector.type",True) == 'real': # generated from line 147, col 5 variable['separatedComponents'] = list(enumerate(VFFSL(SL,"variable.components",True))) else: # generated from line 149, col 5 components = [] variable['separatedComponents'] = components for offset, componentName in enumerate(VFFSL(SL,"variable.components",True)): # generated from line 152, col 7 components.extend([(2*offset, componentName + 'R'), (2*offset+1, componentName + 'I')]) for offset, componentName in VFFSL(SL,"variable.separatedComponents",True): # generated from line 156, col 5 write(u'''hid_t dataset_''') _v = VFFSL(SL,"componentName",True) # u'${componentName}' on line 157, col 15 if _v is not None: write(_filter(_v, rawExpr=u'${componentName}')) # from line 157, col 15. write(u'''; if (!H5Lexists(hdf5_file, "/''') _v = VFFSL(SL,"groupID",True) # u'${groupID}' on line 158, col 29 if _v is not None: write(_filter(_v, rawExpr=u'${groupID}')) # from line 158, col 29. write(u'''/''') _v = VFFSL(SL,"componentName",True) # u'${componentName}' on line 158, col 40 if _v is not None: write(_filter(_v, rawExpr=u'${componentName}')) # from line 158, col 40. write(u'''", H5P_DEFAULT)) dataset_''') _v = VFFSL(SL,"componentName",True) # u'${componentName}' on line 159, col 11 if _v is not None: write(_filter(_v, rawExpr=u'${componentName}')) # from line 159, col 11. write(u''' = H5Dcreate(hdf5_file, "/''') _v = VFFSL(SL,"groupID",True) # u'${groupID}' on line 159, col 53 if _v is not None: write(_filter(_v, rawExpr=u'${groupID}')) # from line 159, col 53. write(u'''/''') _v = VFFSL(SL,"componentName",True) # u'${componentName}' on line 159, col 64 if _v is not None: write(_filter(_v, rawExpr=u'${componentName}')) # from line 159, col 64. write(u'''", H5T_NATIVE_REAL, file_dataspace, H5P_DEFAULT); else dataset_''') _v = VFFSL(SL,"componentName",True) # u'${componentName}' on line 161, col 11 if _v is not None: write(_filter(_v, rawExpr=u'${componentName}')) # from line 161, col 11. write(u''' = H5Dopen(hdf5_file, "/''') _v = VFFSL(SL,"groupID",True) # u'${groupID}' on line 161, col 51 if _v is not None: write(_filter(_v, rawExpr=u'${groupID}')) # from line 161, col 51. write(u'''/''') _v = VFFSL(SL,"componentName",True) # u'${componentName}' on line 161, col 62 if _v is not None: write(_filter(_v, rawExpr=u'${componentName}')) # from line 161, col 62. write(u'''"); #if defined(HAVE_HDF5_HL) ''') for dimNum, dim in enumerate(field.dimensions): # generated from line 163, col 7 write(u''' H5DSattach_scale(dataset_''') _v = VFFSL(SL,"componentName",True) # u'${componentName}' on line 164, col 28 if _v is not None: write(_filter(_v, rawExpr=u'${componentName}')) # from line 164, col 28. write(u''', dataset_''') _v = VFN(VFN(VFFSL(SL,"dim",True),"inBasis",False)(basis),"name",True) # u'${dim.inBasis(basis).name}' on line 164, col 54 if _v is not None: write(_filter(_v, rawExpr=u'${dim.inBasis(basis).name}')) # from line 164, col 54. write(u''', ''') _v = VFFSL(SL,"dimNum",True) # u'${dimNum}' on line 164, col 82 if _v is not None: write(_filter(_v, rawExpr=u'${dimNum}')) # from line 164, col 82. write(u'''); ''') write(u'''#endif ''') for dim in field.dimensions: # generated from line 169, col 3 dimRep = dim.inBasis(basis) write(u'''H5Dclose(dataset_''') _v = VFFSL(SL,"dimRep.name",True) # u'${dimRep.name}' on line 171, col 18 if _v is not None: write(_filter(_v, rawExpr=u'${dimRep.name}')) # from line 171, col 18. write(u'''); ''') write(u''' ''') # This is where all of the magic MPI code goes featureOrdering = ['Driver'] featureDict = dict.copy() featureDict['extraIndent'] = 0 _v = VFFSL(SL,"insertCodeForFeatures",False)('binaryWriteOutWriteDataBegin', VFFSL(SL,"featureOrdering",True), featureDict) # u"${insertCodeForFeatures('binaryWriteOutWriteDataBegin', $featureOrdering, featureDict)}" on line 178, col 1 if _v is not None: write(_filter(_v, rawExpr=u"${insertCodeForFeatures('binaryWriteOutWriteDataBegin', $featureOrdering, featureDict)}")) # from line 178, col 1. extraIndent = featureDict['extraIndent'] dict['operation'] = 'write' dict['variables'] = dict['dependentVariables'] write(u''' if (''') _v = VFN(VFFSL(SL,"field",True),"sizeInBasis",False)(basis) # u'${field.sizeInBasis(basis)}' on line 183, col 5 if _v is not None: write(_filter(_v, rawExpr=u'${field.sizeInBasis(basis)}')) # from line 183, col 5. write(u''') { ''') _v = VFFSL(SL,"processData",False)(dict) # u'${processData(dict), autoIndent=True, extraIndent=extraIndent}' on line 184, col 3 if _v is not None: write(_filter(_v, autoIndent=True, extraIndent=extraIndent, rawExpr=u'${processData(dict), autoIndent=True, extraIndent=extraIndent}')) # from line 184, col 3. write(u'''} ''') # This is where the rest of the magic MPI code goes _v = VFFSL(SL,"insertCodeForFeaturesInReverseOrder",False)('binaryWriteOutWriteDataEnd', VFFSL(SL,"featureOrdering",True), featureDict) # u"${insertCodeForFeaturesInReverseOrder('binaryWriteOutWriteDataEnd', $featureOrdering, featureDict)}" on line 188, col 1 if _v is not None: write(_filter(_v, rawExpr=u"${insertCodeForFeaturesInReverseOrder('binaryWriteOutWriteDataEnd', $featureOrdering, featureDict)}")) # from line 188, col 1. write(u''' ''') for variable in dependentVariables: # generated from line 190, col 3 for offset, componentName in VFFSL(SL,"variable.separatedComponents",True): # generated from line 191, col 5 write(u'''H5Dclose(dataset_''') _v = VFFSL(SL,"componentName",True) # u'${componentName}' on line 192, col 18 if _v is not None: write(_filter(_v, rawExpr=u'${componentName}')) # from line 192, col 18. write(u'''); ''') write(u''' H5Sclose(file_dataspace); H5Gclose(group); H5Fclose(hdf5_file); ''') # ######################################## ## 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 # # HDF5Format.tmpl # # Created by Graham Dennis on 2009-01-24. # # Copyright (c) 2009-2012, 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__ name = 'hdf5' mpiSafe = True _mainCheetahMethod_for_HDF5Format= 'writeBody' ## END CLASS DEFINITION if not hasattr(HDF5Format, '_initCheetahAttributes'): templateAPIClass = getattr(HDF5Format, '_CHEETAH_templateClass', Template) templateAPIClass._addCheetahPlumbingCodeToClass(HDF5Format) # 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=HDF5Format()).run()