class_docstr: PyVista wrapping of vtkCellArray.
  
  Provides convenience functions to simplify creating a CellArray from
  a numpy array or list.
  
  Parameters
  ----------
  cells : np.ndarray or list, optional
      Import an array of data with the legacy vtkCellArray layout, e.g.
      ``{ n0, p0_0, p0_1, ..., p0_n, n1, p1_0, p1_1, ..., p1_n, ... }``
      Where n0 is the number of points in cell 0, and pX_Y is the Y'th
      point in cell X.
  
  n_cells : int, optional
      The number of cells.
  
  deep : bool, default: False
      Perform a deep copy of the original cell.
  
  Examples
  --------
  Create a cell array containing two triangles from the traditional interleaved format
  
  >>> from pyvista.core.cell import CellArray
  >>> cellarr = CellArray([3, 0, 1, 2, 3, 3, 4, 5])
  
  Create a cell array containing two triangles from separate offsets and connectivity arrays
  
  >>> from pyvista.core.cell import CellArray
  >>> offsets = [0, 3, 6]
  >>> connectivity = [0, 1, 2, 3, 4, 5]
  >>> cellarr = CellArray.from_arrays(offsets, connectivity)
docstr: Return an array of shape (n_cells, cell_size) of point indices when all faces have the same size.
  
  Returns
  -------
  numpy.ndarray
      Array of face indices of shape (n_cells, cell_size).
  
  Notes
  -----
  This property does not validate that the cells are all
  actually the same size. If they're not, this property may either
  raise a `ValueError` or silently return an incorrect array.
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code: def regular_cells(self) -> NumpyArray[int]:  # numpydoc ignore=RT01
      """Return an array of shape (n_cells, cell_size) of point indices when all faces have the same size.
  
      Returns
      -------
      numpy.ndarray
          Array of face indices of shape (n_cells, cell_size).
  
      Notes
      -----
      This property does not validate that the cells are all
      actually the same size. If they're not, this property may either
      raise a `ValueError` or silently return an incorrect array.
      """
      return _get_regular_cells(self)
  
imports: from __future__ import annotations
  from typing import List, Optional, Sequence, Tuple, Union, cast
  import numpy
  import pyvista
  from .None import _vtk_core
  from ._typing_core import Matrix, NumpyArray, Vector
  from .celltype import CellType
  from .dataset import DataObject
  from .errors import CellSizeError
  from .utilities.cells import ncells_from_cells, numpy_to_idarr
label_desc: Use image node_id 9 for calling the CellArray obj's underlying member method code with example usage: obj.regular_cells() and returns: _get_regular_cells