code: def __call__(self, v1, v2):
      if self._factor is not None:
          self.set_bounds(v1 * self._factor, v2 * self._factor)
          locs = mticker.MaxNLocator.__call__(self)
          return np.array(locs), len(locs), self._factor
      else:
          self.set_bounds(v1, v2)
          locs = mticker.MaxNLocator.__call__(self)
          return np.array(locs), len(locs), None
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import six
  import numpy
  from matplotlib.transforms import Bbox
  from .None import clip_path
  import matplotlib.ticker
  from matplotlib.transforms import Transform
label_desc: Use image node_id 2 for calling the MaxNLocator obj's underlying member method code with example usage: obj.__call__(v1, v2) and returns: np,  len,  self, np,  len,  None