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:
  #
  #       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 numpy as np
  from sklearn.datasets import load_digits
  from sklearn.model_selection import train_test_split
  from typing_extensions import Annotated
  
  from zenml import step
  
  
  @step
  def digits_data_loader() -> Tuple[
      Annotated[np.ndarray, "X_train"],
      Annotated[np.ndarray, "X_test"],
      Annotated[np.ndarray, "y_train"],
      Annotated[np.ndarray, "y_test"],
  ]:
      """Loads the digits dataset as a tuple of flattened numpy arrays."""
      digits = load_digits()
      data = digits.images.reshape((len(digits.images), -1))
      X_train, X_test, y_train, y_test = train_test_split(
          data, digits.target, test_size=0.2, shuffle=False
      )
      return X_train, X_test, y_train, y_test
  