code: def predict(self, arg1, arg2):
      matrx = np.array([12, 3, 7])
      return matrx
  
imports: import unittest
  from unittest.mock import patch
  import types
  import numpy
  import pandas
  import category_encoders
  from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier
  from pandas.testing import assert_frame_equal, assert_series_equal
  from shapash.backend.base_backend import BaseBackend, _needs_preprocessing
  from shapash.explainer.smart_state import SmartState
label_desc: Use image node_id 1 for calling the TestBaseBackend obj's underlying member method code with example usage: obj.predict(arg1, arg2) and returns: matrx