code: def sample(self, data, feature_names, feature_types):
      # if the blackbox or greybox underlying method accepts a sampling
      # function or abstract class they may want to pass us additional
      # options, which the class that derrives from SamplerMixin may
      # want to add as either explicit arguments or kwargs
      pass
  
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 for calling the SamplerMixin obj's underlying member method code with example usage: obj.sample(data, feature_names, feature_types) without return types