code: def denormalise(
      a: np.ndarray,
      mean: np.ndarray,
      std: np.ndarray,
  ) -> np.ndarray:
      """
  
      Parameters
      ----------
      a: np.ndarray
           the array to normalise, e.g., an image or an explanation.
      mean: np.ndarray
           The mean points to sample from, len(mean) = nr_channels.
      std: np.ndarray
           The standard deviations to sample from, len(mean) = nr_channels.
      kwargs: optional
          Keyword arguments.
  
      Returns
      -------
      np.ndarray
          A denormalised array.
      """
      return (np.array(a) * std.reshape(-1, 1, 1)) + mean.reshape(
          -1, 1, 1
      )
  
imports: import warnings
  from typing import Optional, Sequence
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: denormalise(a, mean, std) and returns: unknown