code: def test_constructor(self):
      cp = self.exp.predict_profile(self.X.iloc[[0], :], verbose=False)
      self.assertIsInstance(
          cp, (dx.predict_explanations.CeterisParibus,)
      )
      self.assertIsInstance(cp.result, (pd.DataFrame,))
      self.assertIsInstance(cp.new_observation, (pd.DataFrame,))
  
      with self.assertRaises(ValueError):
          self.exp.predict_profile(
              self.X.iloc[[0], :], variables=["aaa"], verbose=False
          )
  
      with self.assertRaises(TypeError):
          self.exp.predict_profile(
              self.X.iloc[[0], :], y=3, verbose=False
          )
  
      # with self.assertRaises(TypeError):
      #     self.assertIsInstance(self.exp.predict_profile(self.X.iloc[[0], :], variables='age'),
      #                           dx.predict_explanations.CeterisParibus)
  
      self.assertIsInstance(
          self.exp.predict_profile(self.X.iloc[0, :], verbose=False),
          dx.predict_explanations.CeterisParibus,
      )
      self.assertIsInstance(
          self.exp.predict_profile(self.X.iloc[0:10, :], verbose=False),
          dx.predict_explanations.CeterisParibus,
      )
      self.assertIsInstance(
          self.exp.predict_profile(
              self.X.iloc[[0], :], variables=["age"], verbose=False
          ),
          dx.predict_explanations.CeterisParibus,
      )
      self.assertIsInstance(
          self.exp.predict_profile(
              self.X.iloc[0, :].values.reshape(
                  -1,
              ),
              verbose=False,
          ),
          dx.predict_explanations.CeterisParibus,
      )
      self.assertIsInstance(
          self.exp.predict_profile(
              self.X.iloc[0:10, :].values, verbose=False
          ),
          dx.predict_explanations.CeterisParibus,
      )
      self.assertIsInstance(
          self.exp.predict_profile(
              self.X.iloc[0:10, :].values, processes=2, verbose=False
          ),
          dx.predict_explanations.CeterisParibus,
      )
  
file_path: DALEX/python/dalex/test/test_ceteris_paribus.py
imports: import unittest
  import numpy
  import pandas
  from plotly.graph_objs import Figure
  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 dalex.predict_explanations._ceteris_paribus import utils
label_desc: Use image node_id 6 for calling the CeterisParibusTestTitanic obj's underlying member method code with example usage: obj.test_constructor() without return types