code: def heightmap_new(w: int, h: int, order: str = "C") -> np.ndarray:
      
      if order == "C":
          return np.zeros((h, w), np.float32, order="C")
      elif order == "F":
          return np.zeros((w, h), np.float32, order="F")
      else:
          raise ValueError("Invalid order parameter, should be 'C' or 'F'.")
docs: Return a new numpy.ndarray formatted for use with heightmap functions.
  
      `w` and `h` are the width and height of the array.
  
      `order` is given to the new NumPy array, it can be 'C' or 'F'.
  
      You can pass a NumPy array to any heightmap function as long as all the
      following are true::
      * The array is 2 dimensional.
      * The array has the C_CONTIGUOUS or F_CONTIGUOUS flag.
      * The array's dtype is :any:`dtype.float32`.
  
      The returned NumPy array will fit all these conditions.
  
      .. versionchanged:: 8.1
          Added the `order` parameter.