content: #  Copyright (c) ZenML GmbH 2023. 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:
  #
  #       https://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 importer() -> Tuple[
      Annotated[pd.DataFrame, "X_train"],
      Annotated[pd.DataFrame, "X_test"],
      Annotated[pd.Series, "y_train"],
      Annotated[pd.Series, "y_test"],
  ]:
      """Load the iris dataset as tuple of Pandas DataFrame / Series."""
      iris = load_iris(as_frame=True)
      X_train, X_test, y_train, y_test = train_test_split(
          iris.data, iris.target, test_size=0.2, shuffle=True, random_state=42
      )
      return X_train, X_test, y_train, y_test
  