notes from discussion with Philip
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@ -45,14 +45,10 @@ class DADF5():
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'time': round(f[u].attrs['time/s'],12),
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'time': round(f[u].attrs['time/s'],12),
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} for u in f.keys() if r.match(u)]
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} for u in f.keys() if r.match(u)]
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self.constituents = np.unique(f['mapping/cellResults/constituent']['Name']).tolist() # ToDo: I am not to happy with the name
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self.Nmaterialpoints, self.Nconstituents = np.shape(f['mapping/cellResults/constituent'])
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self.constituents = [c.decode() for c in self.constituents]
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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.decode() for c in np.unique(f['mapping/cellResults/constituent'] ['Name'])]
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self.materialpoints = np.unique(f['mapping/cellResults/materialpoint']['Name']).tolist() # ToDo: I am not to happy with the name
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self.materialpoints = [m.decode() for m in self.materialpoints]
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self.Nconstituents = [i for i in range(np.shape(f['mapping/cellResults/constituent'])[1])]
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self.Nmaterialpoints = np.shape(f['mapping/cellResults/constituent'])[0]
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self.c_output_types = []
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self.c_output_types = []
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for c in self.constituents:
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for c in self.constituents:
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@ -66,18 +62,21 @@ class DADF5():
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self.m_output_types.append(o)
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self.m_output_types.append(o)
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self.m_output_types = list(set(self.m_output_types)) # make unique
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self.m_output_types = list(set(self.m_output_types)) # make unique
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self.active= {'increments': self.increments,
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#self.on_air
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self.active= {'increments': self.increments, # ToDo:simplify, activity only positions that translate into (no complex types)
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'constituents': self.constituents,
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'constituents': self.constituents,
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'materialpoints': self.materialpoints,
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'materialpoints': self.materialpoints,
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'constituent': self.Nconstituents,
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'constituent': range(self.Nconstituents), # ToDo: stupid naming
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'c_output_types': self.c_output_types,
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'c_output_types': self.c_output_types,
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'm_output_types': self.m_output_types}
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'm_output_types': self.m_output_types}
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# ToDo: store increments, select icrements (trivial), position, and time
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self.filename = filename
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self.filename = filename
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self.mode = mode
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self.mode = mode
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def get_groups(self,l):
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def get_groups(self,l): #group_with_data(datasets)
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"""
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"""
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Get groups that contain all requested datasets.
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Get groups that contain all requested datasets.
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@ -96,13 +95,13 @@ class DADF5():
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return groups
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return groups
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def get_active_groups(self):
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def get_active_groups(self): # rename: get_groups needed? merge with datasets and have [] and ['*']
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"""
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"""
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Get groups that are currently considered for evaluation.
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Get groups that are currently considered for evaluation.
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"""
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"""
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groups = []
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groups = []
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for i,x in enumerate(self.active['increments']):
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for i,x in enumerate(self.active['increments']):
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group_inc = 'inc{:05}'.format(self.active['increments'][i]['inc'])
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group_inc = 'inc{:05}'.format(self.active['increments'][i]['inc']) #ToDo: Merge path only once at the end '/'.join(listE)
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for c in self.active['constituents']:
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for c in self.active['constituents']:
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group_constituent = group_inc+'/constituent/'+c
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group_constituent = group_inc+'/constituent/'+c
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for t in self.active['c_output_types']:
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for t in self.active['c_output_types']:
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@ -116,10 +115,10 @@ class DADF5():
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return groups
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return groups
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def list_data(self):
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def list_data(self): # print_datasets and have [] and ['*'], loop over all increment, soll auf anderen basieren (get groups with sternchen)
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"""Shows information on all active datasets in the file."""
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"""Shows information on all active datasets in the file."""
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with h5py.File(self.filename,'r') as f:
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with h5py.File(self.filename,'r') as f:
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group_inc = 'inc{:05}'.format(self.active['increments'][0]['inc'])
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group_inc = 'inc{:05}'.format(self.active['increments'][0]['inc']) #ToDo: Merge path only once at the end '/'.join(listE)
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for c in self.active['constituents']:
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for c in self.active['constituents']:
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print('\n'+c)
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print('\n'+c)
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group_constituent = group_inc+'/constituent/'+c
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group_constituent = group_inc+'/constituent/'+c
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@ -143,8 +142,8 @@ class DADF5():
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pass
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pass
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def get_dataset_location(self,label):
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def get_dataset_location(self,label): # names
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"""Returns the location of all active datasets with given label."""
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"""Returns the location of all active datasets with given label.""" #ToDo: Merge path only once at the end '/'.join(listE)
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path = []
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path = []
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with h5py.File(self.filename,'r') as f:
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with h5py.File(self.filename,'r') as f:
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for i in self.active['increments']:
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for i in self.active['increments']:
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