code: def test(self):
      self.assertIsInstance(
          self.exp.predict(self.X.iloc[[0]]), np.ndarray
      )
      with self.assertRaises(TypeError):
          self.exp.predict(self.X.iloc[0])
      with self.assertRaises(ValueError):
          self.exp.predict(self.X.iloc[0].values)
  
      self.assertIsInstance(
          self.exp.predict(self.X.iloc[:100]), np.ndarray
      )
  
file_path: DALEX/python/dalex/test/test_predict.py
imports: import unittest
  import numpy
  from sklearn.compose import ColumnTransformer
  from sklearn.impute import SimpleImputer
  from sklearn.neural_network import MLPRegressor
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import StandardScaler, LabelEncoder, OneHotEncoder
  import dalex
label_desc: Use image node_id 2 for calling the PredictTestTitanic obj's underlying member method code with example usage: obj.test() without return types