DADF5_postResults tries to combine datasets, this does not work
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@ -64,8 +64,12 @@ class Result:
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self.times = [round(f[i].attrs['time/s'],12) for i in self.increments]
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self.times = [round(f[i].attrs['time/s'],12) for i in self.increments]
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self.Nmaterialpoints, self.Nconstituents = np.shape(f['mapping/cellResults/constituent'])
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self.Nmaterialpoints, self.Nconstituents = np.shape(f['mapping/cellResults/constituent'])
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self.materialpoints = [m for m in f['inc0/materialpoint']]
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self.materialpoints = [m.decode() for m in np.unique(f['mapping/cellResults/materialpoint']['Name'])]
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self.constituents = [c for c in f['inc0/constituent']]
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self.constituents = [c.decode() for c in np.unique(f['mapping/cellResults/constituent'] ['Name'])]
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# faster, but does not work with (deprecated) DADF5_postResults
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#self.materialpoints = [m for m in f['inc0/materialpoint']]
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#self.constituents = [c for c in f['inc0/constituent']]
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self.con_physics = []
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self.con_physics = []
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for c in self.constituents:
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for c in self.constituents:
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@ -428,8 +432,10 @@ class Result:
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"""
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"""
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with h5py.File(self.fname,'r') as f:
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with h5py.File(self.fname,'r') as f:
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shape = (self.Nmaterialpoints,) + np.shape(f[path[0]])[1:]
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shape = (self.Nmaterialpoints,) + np.shape(f[path[0]])[1:]
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print(path[0])
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if len(shape) == 1: shape = shape +(1,)
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if len(shape) == 1: shape = shape +(1,)
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dataset = np.full(shape,np.nan,dtype=np.dtype(f[path[0]]))
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dataset = np.full(shape,np.nan,dtype=np.dtype(f[path[0]]))
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print('dataset shape', dataset.shape)
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for pa in path:
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for pa in path:
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label = pa.split('/')[2]
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label = pa.split('/')[2]
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@ -437,12 +443,19 @@ class Result:
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dataset = np.array(f[pa])
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dataset = np.array(f[pa])
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continue
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continue
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print(label)
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p = np.where(f['mapping/cellResults/constituent'][:,c]['Name'] == str.encode(label))[0]
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p = np.where(f['mapping/cellResults/constituent'][:,c]['Name'] == str.encode(label))[0]
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print(len(p))
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if len(p)>0:
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if len(p)>0:
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u = (f['mapping/cellResults/constituent']['Position'][p,c])
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u = (f['mapping/cellResults/constituent']['Position'][p,c])
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print('pa',pa)
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a = np.array(f[pa])
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a = np.array(f[pa])
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print(a.shape)
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if len(a.shape) == 1:
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if len(a.shape) == 1:
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a=a.reshape([a.shape[0],1])
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a=a.reshape([a.shape[0],1])
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print('u',u)
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print('a[u]',a[u,:].shape)
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print('dataset[p]',dataset[p,:].shape)
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dataset[p,:] = a[u,:]
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dataset[p,:] = a[u,:]
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p = np.where(f['mapping/cellResults/materialpoint']['Name'] == str.encode(label))[0]
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p = np.where(f['mapping/cellResults/materialpoint']['Name'] == str.encode(label))[0]
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