code: def dummy_multi_class_predict_proba(self, x):
      scores = self.predict_proba_func(x)
      each_scores = (1 - scores) / (self.n_classes_ - 1)
      proba = np.zeros((len(x), self.n_classes_))
      proba[:, 0] = scores
      proba[:, 1:] = each_scores[:, np.newaxis]
      return proba
  
imports: import pytest
  import joblib
  import os
  import json
  import numpy
  import pandas
  from itertools import product
  import matplotlib
  from abc import ABC, abstractmethod
  import warnings
label_desc: Use image node_id 7 for calling the DummyModel obj's underlying member method code with example usage: obj.dummy_multi_class_predict_proba(x) and returns: proba