code: def mask_and(clip, other_clip):
      """Returns the logical 'and' (minimum pixel color values) between two masks.
  
      The result has the duration of the clip to which has been applied, if it has any.
  
      Parameters
      ----------
  
      other_clip ImageClip or np.ndarray
        Clip used to mask the original clip.
  
      Examples
      --------
  
      >>> clip = ColorClip(color=(255, 0, 0), size=(1, 1))  # red
      >>> mask = ColorClip(color=(0, 255, 0), size=(1, 1))  # green
      >>> masked_clip = clip.fx(mask_and, mask)             # black
      >>> masked_clip.get_frame(0)
      [[[0 0 0]]]
      """
      # to ensure that 'and' of two ImageClips will be an ImageClip
      if isinstance(other_clip, ImageClip):
          other_clip = other_clip.img
  
      if isinstance(other_clip, np.ndarray):
          return clip.image_transform(
              lambda frame: np.minimum(frame, other_clip)
          )
      else:
          return clip.transform(
              lambda get_frame, t: np.minimum(
                  get_frame(t), other_clip.get_frame(t)
              )
          )
  
label_desc: Use image node_id 1 for calling a global function with example usage: mask_and(clip, other_clip) and returns: clip, clip