code: def test_performance(self):
      case = self.exp_performance.model_diagnostics()
      start_time = time.time()
      fig = case.plot(show=False)
      end_time = time.time()
      self.assertTrue((end_time - start_time) < 160)
  
file_path: DALEX/python/dalex/test/test_model_diagnostics.py
imports: import unittest
  import numpy
  import pandas
  from sklearn.compose import ColumnTransformer
  from sklearn.impute import SimpleImputer
  from sklearn.neural_network import MLPClassifier
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import StandardScaler, LabelEncoder, OneHotEncoder
  import dalex
  from plotly.graph_objs import Figure
  import time
label_desc: Use image node_id 4 for calling the ModelDiagnosticsTestTitanic obj's underlying member method code with example usage: obj.test_performance() without return types