code: def __init__(self, N=1000, num_levels=4, **kwargs):
      self.N = N
      self.num_levels = num_levels
      self.kwargs = kwargs
  
imports: from ..api.base import ExplainerMixin
  from ..api.templates import FeatureValueExplanation
  from ..utils._explanation import gen_name_from_class, gen_global_selector
  from abc import ABC, abstractmethod
  import numpy
  from ..utils._clean_x import preclean_X
  from ..utils._unify_predict import determine_classes, unify_predict_fn
  from ..utils._unify_data import unify_data
label_desc: Use image node_id 1 to create a new MorrisSampler object from inherited base classes: SamplerMixin with example: obj = MorrisSampler(N, num_levels)