code: def set_boundary(
      Xs: TensorLike, c: Union[numbers.Real, TensorLike]
  ) -> TensorLike:
      """Set the boundary using the mean-subtracted `Xs` and `c`.  `c` is usually a scalar
      multiplyer greater than 1.0, but it may be one value per dimension or column of `Xs`.
      """
      S = pt.max(pt.abs(Xs), axis=0)
      L = c * S
      return L
  
imports: import numbers
  import warnings
  from types import ModuleType
  from typing import Optional, Sequence, Union
  import numpy
  import pytensor.tensor
  import pymc
  from pymc.gp.cov import Covariance, Periodic
  from pymc.gp.gp import Base
  from pymc.gp.mean import Mean, Zero
label_desc: Use image node_id 1 for calling a global function with example usage: set_boundary(Xs, c) and returns: L