content: #  Copyright (c) ZenML GmbH 2022. All Rights Reserved.
  #  Licensed under the Apache License, Version 2.0 (the "License");
  #  you may not use this file except in compliance with the License.
  #  You may obtain a copy of the License at:
  #
  #       http://www.apache.org/licenses/LICENSE-2.0
  #
  #  Unless required by applicable law or agreed to in writing, software
  #  distributed under the License is distributed on an "AS IS" BASIS,
  #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
  #  or implied. See the License for the specific language governing
  #  permissions and limitations under the License.
  
  from typing import Tuple
  
  import pandas as pd
  from sklearn.datasets import load_iris
  from sklearn.model_selection import train_test_split
  from typing_extensions import Annotated
  
  from zenml import step
  
  
  @step
  def data_loader() -> Tuple[
      Annotated[pd.DataFrame, "reference_dataset"],
      Annotated[pd.DataFrame, "comparison_dataset"],
  ]:
      """Load the iris dataset."""
      iris = load_iris(as_frame=True)
      df_train, df_test = train_test_split(
          iris["frame"], stratify=iris["target"], random_state=0
      )
      return df_train, df_test
  