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[skip ci] fix for scalar values

This commit is contained in:
Martin Diehl 2020-11-18 14:57:09 +01:00
parent 870c0f7aca
commit 838a4ea592
1 changed files with 4 additions and 3 deletions
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7
python/damask/_result.py
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@ -1198,17 +1198,18 @@ class Result:
dtype = f[name].dtype
prec = f[name].dtype.itemsize
if (shape not in [(1,), (3,), (3,3)]) or dtype != np.float64: continue
if (shape not in [(), (3,), (3,3)]) or dtype != np.float64: continue
attributes.append(ET.SubElement(grid, 'Attribute'))
attributes[-1].attrib={'Name': name.split('/',2)[2],
'Center': 'Cell',
'AttributeType': 'Tensor'}
'AttributeType': {():'Scalar',(3):'Vector',(3,3):'Tensor'}[shape]}
data_items.append(ET.SubElement(attributes[-1], 'DataItem'))
data_items[-1].attrib={'Format': 'HDF',
'NumberType': 'Float',
'Precision': f'{prec}',
'Dimensions': '{} {} {} {}'.format(*self.grid,np.prod(shape))}
'Dimensions': '{} {} {} {}'.format(*self.grid,1 if shape == () else
np.prod(shape))}
data_items[-1].text=f'{os.path.split(self.fname)[1]}:{name}'
with open(self.fname.with_suffix('.xdmf').name,'w') as f: