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|
#!/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._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__ = '3.2.3'
__CHEETAH_versionTuple__ = (3, 2, 3, 'final', 0)
__CHEETAH_genTime__ = 1558054970.872524
__CHEETAH_genTimestamp__ = 'Fri May 17 11:02:50 2019'
__CHEETAH_src__ = '/home/mattias/xmds-2.2.3/admin/staging/xmds-3.0.0/xpdeint/Features/HDF5Format.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 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 28, 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('''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 34, 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('''#if defined(HAVE_HDF5_HL)
#include <hdf5_hl.h>
#endif
''')
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def writeOutFunctionImplementationBody(self, dict, **KWS):
## CHEETAH: generated from @def writeOutFunctionImplementationBody($dict) at line 43, col 1.
trans = KWS.get("trans")
if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)):
trans = self.transaction # is None unless self.awake() was called
if not trans:
trans = DummyTransaction()
_dummyTrans = True
else: _dummyTrans = False
write = trans.response().write
SL = self._CHEETAH__searchList
_filter = self._CHEETAH__currentFilter
########################################
## START - generated method body
#
_v = VFFSL(SL,"writeOutFunctionImplementationBegin",False)(dict) # '${writeOutFunctionImplementationBegin(dict)}' on line 45, col 1
if _v is not None: write(_filter(_v, rawExpr='${writeOutFunctionImplementationBegin(dict)}')) # from line 45, col 1.
write('''
''')
featureOrdering = ['Driver']
featureDict = dict.copy()
featureDict['extraIndent'] = 0
_v = VFFSL(SL,"insertCodeForFeatures",False)('binaryWriteOutBegin', featureOrdering, featureDict) # "${insertCodeForFeatures('binaryWriteOutBegin', featureOrdering, featureDict)}" on line 50, col 1
if _v is not None: write(_filter(_v, rawExpr="${insertCodeForFeatures('binaryWriteOutBegin', featureOrdering, featureDict)}")) # from line 50, col 1.
extraIndent = featureDict['extraIndent']
write('''
''')
_v = VFFSL(SL,"writeOutFunctionContents",False)(dict) # '${writeOutFunctionContents(dict), extraIndent=extraIndent}' on line 53, col 1
if _v is not None: write(_filter(_v, extraIndent=extraIndent, rawExpr='${writeOutFunctionContents(dict), extraIndent=extraIndent}')) # from line 53, col 1.
write('''
''')
_v = VFFSL(SL,"insertCodeForFeaturesInReverseOrder",False)('binaryWriteOutEnd', featureOrdering, featureDict) # "${insertCodeForFeaturesInReverseOrder('binaryWriteOutEnd', featureOrdering, featureDict)}" on line 55, col 1
if _v is not None: write(_filter(_v, rawExpr="${insertCodeForFeaturesInReverseOrder('binaryWriteOutEnd', featureOrdering, featureDict)}")) # from line 55, col 1.
write('''
''')
_v = VFFSL(SL,"writeOutFunctionImplementationEnd",False)(dict) # '${writeOutFunctionImplementationEnd(dict)}' on line 57, col 1
if _v is not None: write(_filter(_v, rawExpr='${writeOutFunctionImplementationEnd(dict)}')) # from line 57, col 1.
#
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def truncateOutputFiles(self, baseFilename, **KWS):
## CHEETAH: generated from @def truncateOutputFiles($baseFilename) at line 61, 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('''char _dataFilename[200];
snprintf(_dataFilename, 200, "%s.h5", ''')
_v = VFFSL(SL,"baseFilename",True) # '${baseFilename}' on line 63, col 39
if _v is not None: write(_filter(_v, rawExpr='${baseFilename}')) # from line 63, col 39.
write(''');
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($dict) at line 69, col 1.
trans = KWS.get("trans")
if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)):
trans = self.transaction # is None unless self.awake() was called
if not trans:
trans = DummyTransaction()
_dummyTrans = True
else: _dummyTrans = False
write = trans.response().write
SL = self._CHEETAH__searchList
_filter = self._CHEETAH__currentFilter
########################################
## START - generated method body
#
fp = dict['fp']
baseFilename = dict['baseFilename']
groupID = dict['groupID']
field = dict['field']
basis = dict['basis']
dependentVariables = dict['dependentVariables']
componentCount = 0
for variable in VFFSL(SL,"dependentVariables",True): # generated from line 78, col 3
componentCount += len(VFFSL(SL,"variable.vector.components",True))
if VFFSL(SL,"variable.vector.type",True) == 'complex': # generated from line 80, col 5
componentCount += len(VFFSL(SL,"variable.vector.components",True))
dict['componentCount'] = componentCount
#
write('''char _h5Filename[200];
snprintf(_h5Filename, 200, "%s.h5", ''')
_v = VFFSL(SL,"baseFilename",True) # '${baseFilename}' on line 87, col 37
if _v is not None: write(_filter(_v, rawExpr='${baseFilename}')) # from line 87, col 37.
write(''');
/* Open the file */
hid_t hdf5_file = H5Fopen(_h5Filename, H5F_ACC_RDWR, H5P_DEFAULT);
if (hdf5_file < 0) {
_LOG(_WARNING_LOG_LEVEL, "Failed to open HDF5 file \'%s\', will try to create it.", _h5Filename);
hdf5_file = H5Fcreate(_h5Filename, H5F_ACC_EXCL, H5P_DEFAULT, H5P_DEFAULT);
if (hdf5_file < 0) {
_LOG(_ERROR_LOG_LEVEL, "Failed to create HDF5 file \'%s\'. Bailing.", _h5Filename);
}
}
/* Create the group for this data */
hid_t group;
if (!H5Lexists(hdf5_file, "/''')
_v = VFFSL(SL,"groupID",True) # '${groupID}' on line 101, col 29
if _v is not None: write(_filter(_v, rawExpr='${groupID}')) # from line 101, col 29.
write('''", H5P_DEFAULT))
group = H5Gcreate(hdf5_file, "/''')
_v = VFFSL(SL,"groupID",True) # '${groupID}' on line 102, col 34
if _v is not None: write(_filter(_v, rawExpr='${groupID}')) # from line 102, col 34.
write('''", H5P_DEFAULT);
else
group = H5Gopen(hdf5_file, "/''')
_v = VFFSL(SL,"groupID",True) # '${groupID}' on line 104, col 32
if _v is not None: write(_filter(_v, rawExpr='${groupID}')) # from line 104, col 32.
write('''");
if (''')
_v = VFFSL(SL,"fp",True) # '$fp' on line 106, col 5
if _v is not None: write(_filter(_v, rawExpr='$fp')) # from line 106, col 5.
write(''') {
fprintf(''')
_v = VFFSL(SL,"fp",True) # '$fp' on line 107, col 11
if _v is not None: write(_filter(_v, rawExpr='$fp')) # from line 107, col 11.
write(''', " <Stream><Metalink Format=\\"HDF5\\" Type=\\"Remote\\" Group=\\"/''')
_v = VFFSL(SL,"groupID",True) # '${groupID}' on line 107, col 80
if _v is not None: write(_filter(_v, rawExpr='${groupID}')) # from line 107, col 80.
write('''\\"/>\\n");
fprintf(''')
_v = VFFSL(SL,"fp",True) # '$fp' on line 108, col 11
if _v is not None: write(_filter(_v, rawExpr='$fp')) # from line 108, col 11.
write(''', "%s.h5\\n", ''')
_v = VFFSL(SL,"baseFilename",True) # '${baseFilename}' on line 108, col 27
if _v is not None: write(_filter(_v, rawExpr='${baseFilename}')) # from line 108, col 27.
write(''');
fprintf(''')
_v = VFFSL(SL,"fp",True) # '$fp' on line 109, col 11
if _v is not None: write(_filter(_v, rawExpr='$fp')) # from line 109, col 11.
write(''', " </Stream>\\n");
}
/* Create the coordinate data sets */
hsize_t coordinate_length;
hid_t coordinate_dataspace;
''')
for dim in field.dimensions: # generated from line 115, col 3
dimRep = dim.inBasis(basis)
write('''coordinate_length = ''')
_v = VFFSL(SL,"dimRep.globalLattice",True) # '${dimRep.globalLattice}' on line 117, col 21
if _v is not None: write(_filter(_v, rawExpr='${dimRep.globalLattice}')) # from line 117, col 21.
write(''';
coordinate_dataspace = H5Screate_simple(1, &coordinate_length, NULL);
''')
dataType = {'real': 'H5T_NATIVE_REAL', 'long': 'H5T_NATIVE_LONG'}[VFFSL(SL,"dimRep.type",True)]
write('''hid_t dataset_''')
_v = VFFSL(SL,"dimRep.name",True) # '${dimRep.name}' on line 120, col 15
if _v is not None: write(_filter(_v, rawExpr='${dimRep.name}')) # from line 120, col 15.
write(''';
if (!H5Lexists(hdf5_file, "/''')
_v = VFFSL(SL,"groupID",True) # '${groupID}' on line 121, col 29
if _v is not None: write(_filter(_v, rawExpr='${groupID}')) # from line 121, col 29.
write('''/''')
_v = VFFSL(SL,"dimRep.name",True) # '${dimRep.name}' on line 121, col 40
if _v is not None: write(_filter(_v, rawExpr='${dimRep.name}')) # from line 121, col 40.
write('''", H5P_DEFAULT))
dataset_''')
_v = VFFSL(SL,"dimRep.name",True) # '${dimRep.name}' on line 122, col 11
if _v is not None: write(_filter(_v, rawExpr='${dimRep.name}')) # from line 122, col 11.
write(''' = H5Dcreate(hdf5_file, "/''')
_v = VFFSL(SL,"groupID",True) # '${groupID}' on line 122, col 51
if _v is not None: write(_filter(_v, rawExpr='${groupID}')) # from line 122, col 51.
write('''/''')
_v = VFFSL(SL,"dimRep.name",True) # '${dimRep.name}' on line 122, col 62
if _v is not None: write(_filter(_v, rawExpr='${dimRep.name}')) # from line 122, col 62.
write('''", ''')
_v = VFFSL(SL,"dataType",True) # '${dataType}' on line 122, col 79
if _v is not None: write(_filter(_v, rawExpr='${dataType}')) # from line 122, col 79.
write(''', coordinate_dataspace, H5P_DEFAULT);
else
dataset_''')
_v = VFFSL(SL,"dimRep.name",True) # '${dimRep.name}' on line 124, col 11
if _v is not None: write(_filter(_v, rawExpr='${dimRep.name}')) # from line 124, col 11.
write(''' = H5Dopen(hdf5_file, "/''')
_v = VFFSL(SL,"groupID",True) # '${groupID}' on line 124, col 49
if _v is not None: write(_filter(_v, rawExpr='${groupID}')) # from line 124, col 49.
write('''/''')
_v = VFFSL(SL,"dimRep.name",True) # '${dimRep.name}' on line 124, col 60
if _v is not None: write(_filter(_v, rawExpr='${dimRep.name}')) # from line 124, col 60.
write('''");
''')
if isinstance(dimRep, SplitUniformDimensionRepresentation): # generated from line 125, col 5
dimArrayName = ''.join([str(VFFSL(SL,"dimRep.name",True)),'_data'])
_v = VFFSL(SL,"dimRep.type",True) # '${dimRep.type}' on line 127, col 1
if _v is not None: write(_filter(_v, rawExpr='${dimRep.type}')) # from line 127, col 1.
write('''* ''')
_v = VFFSL(SL,"dimArrayName",True) # '${dimArrayName}' on line 127, col 17
if _v is not None: write(_filter(_v, rawExpr='${dimArrayName}')) # from line 127, col 17.
write(''' = (''')
_v = VFFSL(SL,"dimRep.type",True) # '${dimRep.type}' on line 127, col 36
if _v is not None: write(_filter(_v, rawExpr='${dimRep.type}')) # from line 127, col 36.
write('''*)xmds_malloc(''')
_v = VFFSL(SL,"dimRep.globalLattice",True) # '${dimRep.globalLattice}' on line 127, col 64
if _v is not None: write(_filter(_v, rawExpr='${dimRep.globalLattice}')) # from line 127, col 64.
write(''' * sizeof(''')
_v = VFFSL(SL,"dimRep.type",True) # '${dimRep.type}' on line 127, col 97
if _v is not None: write(_filter(_v, rawExpr='${dimRep.type}')) # from line 127, col 97.
write('''));
for (long _i0 = 0; _i0 < ''')
_v = VFFSL(SL,"dimRep.globalLattice",True) # '${dimRep.globalLattice}' on line 128, col 26
if _v is not None: write(_filter(_v, rawExpr='${dimRep.globalLattice}')) # from line 128, col 26.
write('''; _i0++) {
''')
_v = VFFSL(SL,"dimArrayName",True) # '${dimArrayName}' on line 129, col 3
if _v is not None: write(_filter(_v, rawExpr='${dimArrayName}')) # from line 129, col 3.
write('''[_i0] = ''')
_v = VFFSL(SL,"dimRep.arrayName",True) # '${dimRep.arrayName}' on line 129, col 26
if _v is not None: write(_filter(_v, rawExpr='${dimRep.arrayName}')) # from line 129, col 26.
write('''[(_i0 + (''')
_v = VFFSL(SL,"dimRep.globalLattice",True) # '${dimRep.globalLattice}' on line 129, col 54
if _v is not None: write(_filter(_v, rawExpr='${dimRep.globalLattice}')) # from line 129, col 54.
write('''+1)/2) % ''')
_v = VFFSL(SL,"dimRep.globalLattice",True) # '${dimRep.globalLattice}' on line 129, col 86
if _v is not None: write(_filter(_v, rawExpr='${dimRep.globalLattice}')) # from line 129, col 86.
write('''];
}
''')
else: # generated from line 131, col 5
dimArrayName = dimRep.arrayName
write('''H5Dwrite(dataset_''')
_v = VFFSL(SL,"dimRep.name",True) # '${dimRep.name}' on line 134, col 18
if _v is not None: write(_filter(_v, rawExpr='${dimRep.name}')) # from line 134, col 18.
write(''', ''')
_v = VFFSL(SL,"dataType",True) # '$dataType' on line 134, col 34
if _v is not None: write(_filter(_v, rawExpr='$dataType')) # from line 134, col 34.
write(''', H5S_ALL, H5S_ALL, H5P_DEFAULT, ''')
_v = VFFSL(SL,"dimArrayName",True) # '${dimArrayName}' on line 134, col 76
if _v is not None: write(_filter(_v, rawExpr='${dimArrayName}')) # from line 134, col 76.
write(''');
#if defined(HAVE_HDF5_HL)
H5DSset_scale(dataset_''')
_v = VFFSL(SL,"dimRep.name",True) # '${dimRep.name}' on line 136, col 25
if _v is not None: write(_filter(_v, rawExpr='${dimRep.name}')) # from line 136, col 25.
write(''', "''')
_v = VFFSL(SL,"dimRep.name",True) # '${dimRep.name}' on line 136, col 42
if _v is not None: write(_filter(_v, rawExpr='${dimRep.name}')) # from line 136, col 42.
write('''");
#endif
''')
if isinstance(dimRep, SplitUniformDimensionRepresentation): # generated from line 139, col 5
write('''xmds_free(''')
_v = VFFSL(SL,"dimArrayName",True) # '${dimArrayName}' on line 140, col 11
if _v is not None: write(_filter(_v, rawExpr='${dimArrayName}')) # from line 140, col 11.
write(''');
''')
write('''H5Sclose(coordinate_dataspace);
''')
write('''
hsize_t file_dims[] = {''')
_v = ', '.join(dim.inBasis(basis).globalLattice for dim in field.dimensions) # "${', '.join(dim.inBasis(basis).globalLattice for dim in field.dimensions)}" on line 145, col 24
if _v is not None: write(_filter(_v, rawExpr="${', '.join(dim.inBasis(basis).globalLattice for dim in field.dimensions)}")) # from line 145, col 24.
write('''};
hid_t file_dataspace = H5Screate_simple(''')
_v = VFFSL(SL,"len",False)(field.dimensions) # '${len(field.dimensions)}' on line 146, col 41
if _v is not None: write(_filter(_v, rawExpr='${len(field.dimensions)}')) # from line 146, col 41.
write(''', file_dims, NULL);
''')
for variable in dependentVariables: # generated from line 148, col 3
if VFFSL(SL,"variable.vector.type",True) == 'real': # generated from line 149, col 5
variable['separatedComponents'] = list(enumerate(VFFSL(SL,"variable.components",True)))
else: # generated from line 151, col 5
components = []
variable['separatedComponents'] = components
for offset, componentName in enumerate(VFFSL(SL,"variable.components",True)): # generated from line 154, col 7
components.extend([(2*offset, componentName + 'R'), (2*offset+1, componentName + 'I')])
for offset, componentName in VFFSL(SL,"variable.separatedComponents",True): # generated from line 158, col 5
write('''hid_t dataset_''')
_v = VFFSL(SL,"componentName",True) # '${componentName}' on line 159, col 15
if _v is not None: write(_filter(_v, rawExpr='${componentName}')) # from line 159, col 15.
write(''';
if (!H5Lexists(hdf5_file, "/''')
_v = VFFSL(SL,"groupID",True) # '${groupID}' on line 160, col 29
if _v is not None: write(_filter(_v, rawExpr='${groupID}')) # from line 160, col 29.
write('''/''')
_v = VFFSL(SL,"componentName",True) # '${componentName}' on line 160, col 40
if _v is not None: write(_filter(_v, rawExpr='${componentName}')) # from line 160, col 40.
write('''", H5P_DEFAULT))
dataset_''')
_v = VFFSL(SL,"componentName",True) # '${componentName}' on line 161, col 11
if _v is not None: write(_filter(_v, rawExpr='${componentName}')) # from line 161, col 11.
write(''' = H5Dcreate(hdf5_file, "/''')
_v = VFFSL(SL,"groupID",True) # '${groupID}' on line 161, col 53
if _v is not None: write(_filter(_v, rawExpr='${groupID}')) # from line 161, col 53.
write('''/''')
_v = VFFSL(SL,"componentName",True) # '${componentName}' on line 161, col 64
if _v is not None: write(_filter(_v, rawExpr='${componentName}')) # from line 161, col 64.
write('''", H5T_NATIVE_REAL, file_dataspace, H5P_DEFAULT);
else
dataset_''')
_v = VFFSL(SL,"componentName",True) # '${componentName}' on line 163, col 11
if _v is not None: write(_filter(_v, rawExpr='${componentName}')) # from line 163, col 11.
write(''' = H5Dopen(hdf5_file, "/''')
_v = VFFSL(SL,"groupID",True) # '${groupID}' on line 163, col 51
if _v is not None: write(_filter(_v, rawExpr='${groupID}')) # from line 163, col 51.
write('''/''')
_v = VFFSL(SL,"componentName",True) # '${componentName}' on line 163, col 62
if _v is not None: write(_filter(_v, rawExpr='${componentName}')) # from line 163, col 62.
write('''");
#if defined(HAVE_HDF5_HL)
''')
for dimNum, dim in enumerate(field.dimensions): # generated from line 165, col 7
write(''' H5DSattach_scale(dataset_''')
_v = VFFSL(SL,"componentName",True) # '${componentName}' on line 166, col 28
if _v is not None: write(_filter(_v, rawExpr='${componentName}')) # from line 166, col 28.
write(''', dataset_''')
_v = VFN(VFN(VFFSL(SL,"dim",True),"inBasis",False)(basis),"name",True) # '${dim.inBasis(basis).name}' on line 166, col 54
if _v is not None: write(_filter(_v, rawExpr='${dim.inBasis(basis).name}')) # from line 166, col 54.
write(''', ''')
_v = VFFSL(SL,"dimNum",True) # '${dimNum}' on line 166, col 82
if _v is not None: write(_filter(_v, rawExpr='${dimNum}')) # from line 166, col 82.
write(''');
''')
write('''#endif
''')
for dim in field.dimensions: # generated from line 171, col 3
dimRep = dim.inBasis(basis)
write('''H5Dclose(dataset_''')
_v = VFFSL(SL,"dimRep.name",True) # '${dimRep.name}' on line 173, col 18
if _v is not None: write(_filter(_v, rawExpr='${dimRep.name}')) # from line 173, col 18.
write(''');
''')
write('''
''')
# This is where all of the magic MPI code goes
featureOrdering = ['Driver']
featureDict = dict.copy()
featureDict['extraIndent'] = 0
_v = VFFSL(SL,"insertCodeForFeatures",False)('binaryWriteOutWriteDataBegin', VFFSL(SL,"featureOrdering",True), featureDict) # "${insertCodeForFeatures('binaryWriteOutWriteDataBegin', $featureOrdering, featureDict)}" on line 180, col 1
if _v is not None: write(_filter(_v, rawExpr="${insertCodeForFeatures('binaryWriteOutWriteDataBegin', $featureOrdering, featureDict)}")) # from line 180, col 1.
extraIndent = featureDict['extraIndent']
dict['operation'] = 'write'
dict['variables'] = dict['dependentVariables']
write('''
if (''')
_v = VFN(VFFSL(SL,"field",True),"sizeInBasis",False)(basis) # '${field.sizeInBasis(basis)}' on line 185, col 5
if _v is not None: write(_filter(_v, rawExpr='${field.sizeInBasis(basis)}')) # from line 185, col 5.
write(''') {
''')
_v = VFFSL(SL,"processData",False)(dict) # '${processData(dict), autoIndent=True, extraIndent=extraIndent}' on line 186, col 3
if _v is not None: write(_filter(_v, autoIndent=True, extraIndent=extraIndent, rawExpr='${processData(dict), autoIndent=True, extraIndent=extraIndent}')) # from line 186, col 3.
write('''}
''')
# This is where the rest of the magic MPI code goes
_v = VFFSL(SL,"insertCodeForFeaturesInReverseOrder",False)('binaryWriteOutWriteDataEnd', VFFSL(SL,"featureOrdering",True), featureDict) # "${insertCodeForFeaturesInReverseOrder('binaryWriteOutWriteDataEnd', $featureOrdering, featureDict)}" on line 190, col 1
if _v is not None: write(_filter(_v, rawExpr="${insertCodeForFeaturesInReverseOrder('binaryWriteOutWriteDataEnd', $featureOrdering, featureDict)}")) # from line 190, col 1.
write('''
''')
for variable in dependentVariables: # generated from line 192, col 3
for offset, componentName in VFFSL(SL,"variable.separatedComponents",True): # generated from line 193, col 5
write('''H5Dclose(dataset_''')
_v = VFFSL(SL,"componentName",True) # '${componentName}' on line 194, col 18
if _v is not None: write(_filter(_v, rawExpr='${componentName}')) # from line 194, col 18.
write(''');
''')
write('''
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
write('''
''')
#
# 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 <http://www.gnu.org/licenses/>.
#
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__
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 https://cheetahtemplate.org/
##################################################
## if run from command line:
if __name__ == '__main__':
from Cheetah.TemplateCmdLineIface import CmdLineIface
CmdLineIface(templateObj=HDF5Format()).run()
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