Merge remote-tracking branch 'origin/vtk-add-label-data-table' into development
This commit is contained in:
commit
527c1c2225
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@ -662,9 +662,9 @@ class Grid:
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"""
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"""
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v = VTK.from_image_data(self.cells,self.size,self.origin)\
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v = VTK.from_image_data(self.cells,self.size,self.origin)\
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.add(self.material.flatten(order='F'),'material')
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.add('material',self.material.flatten(order='F'))
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for label,data in self.ic.items():
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for label,data in self.ic.items():
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v = v.add(data.flatten(order='F'),label)
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v = v.add(label,data.flatten(order='F'))
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v.comments = self.comments
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v.comments = self.comments
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v.save(fname,parallel=False,compress=compress)
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v.save(fname,parallel=False,compress=compress)
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@ -713,7 +713,7 @@ class Grid:
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"""
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"""
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VTK.from_image_data(self.cells,self.size,self.origin) \
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VTK.from_image_data(self.cells,self.size,self.origin) \
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.add(self.material.flatten('F'),'material') \
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.add('material',self.material.flatten('F'),) \
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.show('material',colormap)
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.show('material',colormap)
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@ -1621,7 +1621,7 @@ class Result:
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for inc in util.show_progress(self.visible['increments']):
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for inc in util.show_progress(self.visible['increments']):
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u = _read(f['/'.join([inc,'geometry','u_n' if mode.lower() == 'cell' else 'u_p'])])
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u = _read(f['/'.join([inc,'geometry','u_n' if mode.lower() == 'cell' else 'u_p'])])
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v = v.add(u,'u')
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v = v.add('u',u)
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for ty in ['phase','homogenization']:
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for ty in ['phase','homogenization']:
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for field in self.visible['fields']:
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for field in self.visible['fields']:
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@ -1648,7 +1648,7 @@ class Result:
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outs[out][at_cell_ho[label]] = data[in_data_ho[label]]
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outs[out][at_cell_ho[label]] = data[in_data_ho[label]]
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for label,dataset in outs.items():
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for label,dataset in outs.items():
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v = v.add(dataset,' / '.join(['/'.join([ty,field,label]),dataset.dtype.metadata['unit']]))
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v = v.add(' / '.join(['/'.join([ty,field,label]),dataset.dtype.metadata['unit']]),dataset)
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v.save(f'{self.fname.stem}_inc{inc[10:].zfill(N_digits)}',parallel=parallel)
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v.save(f'{self.fname.stem}_inc{inc[10:].zfill(N_digits)}',parallel=parallel)
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@ -402,24 +402,32 @@ class VTK:
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# Check https://blog.kitware.com/ghost-and-blanking-visibility-changes/ for missing data
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# Check https://blog.kitware.com/ghost-and-blanking-visibility-changes/ for missing data
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def add(self,
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def add(self,
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data: Union[np.ndarray, np.ma.MaskedArray, 'Table'],
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label: str = None,
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label: str = None):
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data: Union[np.ndarray, np.ma.MaskedArray] = None,
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*,
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table: 'Table' = None):
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"""
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"""
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Add data to either cells or points.
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Add data to either cells or points.
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Data can either be a numpy.array, which requires a corresponding label,
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or a damask.Table.
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Parameters
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Parameters
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----------
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----------
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data : numpy.ndarray, numpy.ma.MaskedArray, or damask.Table
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label : str, optional
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Label of data array.
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data : numpy.ndarray or numpy.ma.MaskedArray, optional
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Data to add. First dimension needs to match either
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Data to add. First dimension needs to match either
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number of cells or number of points.
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number of cells or number of points.
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label : str, optional if data is damask.Table
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table: damask.Table, optional
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Data label.
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Data to add. Number of rows needs to match either
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number of cells or number of points.
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"""
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"""
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def _add_array(vtk_data,
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def _add_array(vtk_data,
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data: np.ndarray,
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label: str,
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label: str):
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data: np.ndarray):
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N_data = data.shape[0]
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N_data = data.shape[0]
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data_ = data.reshape(N_data,-1) \
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data_ = data.reshape(N_data,-1) \
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@ -441,17 +449,22 @@ class VTK:
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else:
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else:
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raise ValueError(f'data count mismatch ({N_data} ≠ {self.N_points} & {self.N_cells})')
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raise ValueError(f'data count mismatch ({N_data} ≠ {self.N_points} & {self.N_cells})')
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if data is None and table is None:
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raise KeyError('no data given')
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if data is not None and table is not None:
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raise KeyError('cannot use both, data and table')
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dup = self.copy()
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dup = self.copy()
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if isinstance(data,np.ndarray):
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if isinstance(data,np.ndarray):
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if label is not None:
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if label is not None:
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_add_array(dup.vtk_data,
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_add_array(dup.vtk_data,
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np.where(data.mask,data.fill_value,data) if isinstance(data,np.ma.MaskedArray) else data,
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label,
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label)
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np.where(data.mask,data.fill_value,data) if isinstance(data,np.ma.MaskedArray) else data)
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else:
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else:
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raise ValueError('no label defined for numpy.ndarray')
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raise ValueError('no label defined for data')
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elif isinstance(data,Table):
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elif isinstance(table,Table):
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for l in data.labels:
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for l in table.labels:
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_add_array(dup.vtk_data,data.get(l),l)
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_add_array(dup.vtk_data,l,table.get(l))
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else:
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else:
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raise TypeError
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raise TypeError
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@ -58,7 +58,7 @@ class TestGrid:
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def test_repr(self,default):
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def test_repr(self,default):
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print(default)
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print(default)
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def test_read_write_vtr(self,default,tmp_path):
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def test_read_write_vti(self,default,tmp_path):
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default.save(tmp_path/'default')
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default.save(tmp_path/'default')
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new = Grid.load(tmp_path/'default.vti')
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new = Grid.load(tmp_path/'default.vti')
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assert new == default
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assert new == default
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@ -147,16 +147,22 @@ class TestVTK:
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def test_invalid_add_shape(self,default):
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def test_invalid_add_shape(self,default):
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with pytest.raises(ValueError):
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with pytest.raises(ValueError):
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default.add(np.ones(3),'valid')
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default.add('valid',np.ones(3))
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def test_invalid_add_missing_label(self,default):
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def test_invalid_add_missing_label(self,default):
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data = np.random.randint(9,size=np.prod(np.array(default.vtk_data.GetDimensions())-1))
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data = np.random.randint(9,size=np.prod(np.array(default.vtk_data.GetDimensions())-1))
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with pytest.raises(ValueError):
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with pytest.raises(ValueError):
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default.add(data)
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default.add(data=data)
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def test_invalid_add_type(self,default):
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def test_invalid_add_type(self,default):
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with pytest.raises(TypeError):
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with pytest.raises(TypeError):
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default.add('invalid_type','valid')
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default.add(label='valid',data='invalid_type')
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with pytest.raises(TypeError):
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default.add(label='valid',table='invalid_type')
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def test_invalid_add_dual(self,default):
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with pytest.raises(KeyError):
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default.add(label='valid',data=0,table=0)
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@pytest.mark.parametrize('data_type,shape',[(float,(3,)),
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@pytest.mark.parametrize('data_type,shape',[(float,(3,)),
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(float,(3,3)),
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(float,(3,3)),
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@ -166,7 +172,7 @@ class TestVTK:
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@pytest.mark.parametrize('N_values',[5*6*7,6*7*8])
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@pytest.mark.parametrize('N_values',[5*6*7,6*7*8])
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def test_add_get(self,default,data_type,shape,N_values):
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def test_add_get(self,default,data_type,shape,N_values):
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data = np.squeeze(np.random.randint(0,100,(N_values,)+shape)).astype(data_type)
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data = np.squeeze(np.random.randint(0,100,(N_values,)+shape)).astype(data_type)
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new = default.add(data,'data')
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new = default.add('data',data)
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assert (np.squeeze(data.reshape(N_values,-1)) == new.get('data')).all()
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assert (np.squeeze(data.reshape(N_values,-1)) == new.get('data')).all()
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@ -179,7 +185,7 @@ class TestVTK:
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for k,s in shapes.items():
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for k,s in shapes.items():
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d[k] = dict(shape = s,
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d[k] = dict(shape = s,
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data = np.random.random(N*np.prod(s)).reshape((N,-1)))
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data = np.random.random(N*np.prod(s)).reshape((N,-1)))
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new = default.add(Table(shapes,np.column_stack([d[k]['data'] for k in shapes.keys()])))
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new = default.add(table=Table(shapes,np.column_stack([d[k]['data'] for k in shapes.keys()])))
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for k,s in shapes.items():
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for k,s in shapes.items():
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assert np.allclose(np.squeeze(d[k]['data']),new.get(k),rtol=1e-7)
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assert np.allclose(np.squeeze(d[k]['data']),new.get(k),rtol=1e-7)
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@ -187,8 +193,8 @@ class TestVTK:
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def test_add_masked(self,default):
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def test_add_masked(self,default):
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data = np.random.rand(5*6*7,3)
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data = np.random.rand(5*6*7,3)
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masked = ma.MaskedArray(data,mask=data<.4,fill_value=42.)
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masked = ma.MaskedArray(data,mask=data<.4,fill_value=42.)
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mask_auto = default.add(masked,'D')
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mask_auto = default.add('D',masked)
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mask_manual = default.add(np.where(masked.mask,masked.fill_value,masked),'D')
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mask_manual = default.add('D',np.where(masked.mask,masked.fill_value,masked))
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assert mask_manual == mask_auto
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assert mask_manual == mask_auto
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@ -202,7 +208,7 @@ class TestVTK:
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data = np.squeeze(np.random.randint(0,100,(N_values,)+shape)).astype(data_type)
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data = np.squeeze(np.random.randint(0,100,(N_values,)+shape)).astype(data_type)
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ALPHABET = np.array(list(string.ascii_lowercase + ' '))
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ALPHABET = np.array(list(string.ascii_lowercase + ' '))
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label = ''.join(np.random.choice(ALPHABET, size=10))
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label = ''.join(np.random.choice(ALPHABET, size=10))
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new = default.add(data,label)
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new = default.add(label,data)
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if N_values == default.N_points: assert label in new.labels['Point Data']
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if N_values == default.N_points: assert label in new.labels['Point Data']
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if N_values == default.N_cells: assert label in new.labels['Cell Data']
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if N_values == default.N_cells: assert label in new.labels['Cell Data']
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@ -217,7 +223,7 @@ class TestVTK:
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@pytest.mark.xfail(int(vtk.vtkVersion.GetVTKVersion().split('.')[0])<8, reason='missing METADATA')
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@pytest.mark.xfail(int(vtk.vtkVersion.GetVTKVersion().split('.')[0])<8, reason='missing METADATA')
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def test_compare_reference_polyData(self,update,ref_path,tmp_path):
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def test_compare_reference_polyData(self,update,ref_path,tmp_path):
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points=np.dstack((np.linspace(0.,1.,10),np.linspace(0.,2.,10),np.linspace(-1.,1.,10))).squeeze()
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points=np.dstack((np.linspace(0.,1.,10),np.linspace(0.,2.,10),np.linspace(-1.,1.,10))).squeeze()
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polyData = VTK.from_poly_data(points).add(points,'coordinates')
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polyData = VTK.from_poly_data(points).add('coordinates',points)
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if update:
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if update:
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polyData.save(ref_path/'polyData')
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polyData.save(ref_path/'polyData')
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else:
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else:
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@ -234,8 +240,8 @@ class TestVTK:
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c = coords[:-1,:-1,:-1,:].reshape(-1,3,order='F')
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c = coords[:-1,:-1,:-1,:].reshape(-1,3,order='F')
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n = coords[:,:,:,:].reshape(-1,3,order='F')
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n = coords[:,:,:,:].reshape(-1,3,order='F')
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rectilinearGrid = VTK.from_rectilinear_grid(grid) \
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rectilinearGrid = VTK.from_rectilinear_grid(grid) \
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.add(np.ascontiguousarray(c),'cell') \
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.add('cell',np.ascontiguousarray(c)) \
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.add(np.ascontiguousarray(n),'node')
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.add('node',np.ascontiguousarray(n))
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if update:
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if update:
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rectilinearGrid.save(ref_path/'rectilinearGrid')
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rectilinearGrid.save(ref_path/'rectilinearGrid')
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else:
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else:
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