def test_cells_dict_utils():
# No pyvista object
with pytest.raises(ValueError):
cells.get_mixed_cells(None)
with pytest.raises(ValueError):
cells.get_mixed_cells(np.zeros(shape=[3, 3]))
cells_arr = np.array([3, 0, 1, 2, 3, 3, 4, 5])
cells_types = np.array([vtk.VTK_TRIANGLE] * 2)
assert np.all(
cells.generate_cell_offsets(cells_arr, cells_types) ==
cells.generate_cell_offsets(cells_arr, cells_types))
# Non-integer type
with pytest.raises(ValueError):
cells.generate_cell_offsets(cells_arr, cells_types.astype(np.float32))
with pytest.raises(ValueError):
cells.generate_cell_offsets_loop(cells_arr,
cells_types.astype(np.float32))
# Inconsistency of cell array lengths
with pytest.raises(ValueError):
cells.generate_cell_offsets(np.array(cells_arr.tolist() + [6]),
cells_types)
with pytest.raises(ValueError):
cells.generate_cell_offsets_loop(np.array(cells_arr.tolist() + [6]),
cells_types)
with pytest.raises(ValueError):
cells.generate_cell_offsets(
cells_arr, np.array(cells_types.tolist() + [vtk.VTK_TRIANGLE]))
with pytest.raises(ValueError):
cells.generate_cell_offsets_loop(
cells_arr, np.array(cells_types.tolist() + [vtk.VTK_TRIANGLE]))
# Unknown cell type
np.all(
cells.generate_cell_offsets(cells_arr, cells_types) ==
cells.generate_cell_offsets(cells_arr, np.array([255, 255])))
def cells_dict(self):
"""Return a dictionary that contains all cells mapped from cell types.
This function returns a np.ndarray for each cell type in an ordered fashion.
Note that this function only works with element types of fixed sizes
Returns
-------
cells_dict : dict
A dictionary mapping containing all cells of this unstructured grid.
Structure: vtk_enum_type (int) -> cells (np.ndarray)
"""
return get_mixed_cells(self)