code: def score(self, X, y):
      if self.final_score <= 3:
          return self.final_score * (1 - 1 / (self._calls + 2))
      return self.final_score
  
imports: import os
  from ast import literal_eval
  import numpy
  from distributed import Lock, Variable, get_worker
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.utils.validation import _num_samples, check_array
label_desc: Use image node_id 4 for calling the _MaybeLinearFunction obj's underlying member method code with example usage: obj.score(X, y) and returns: self, unknown