code: def learn(self, get_iris_data):
      super().fit(
          feat_names=["petal width (cm)"],
          dataframe=get_iris_data,
          target_continuous=False,
          target="target",
      )
  
file_path: causalnex/tests/discretiser/conftest.py
imports: from typing import List
  import pandas
  import pytest
  from sklearn.datasets import load_diabetes, load_iris
  from causalnex.discretiser.abstract_discretiser import AbstractSupervisedDiscretiserMethod
label_desc: Use image node_id 2 for calling the Dummy obj's underlying member method code with example usage: obj.learn(get_iris_data) without return types