text: """Empty Data Splitter class."""
  import numpy as np
  from sklearn.model_selection._split import BaseCrossValidator
  
  
  class NoSplit(BaseCrossValidator):
      """Does not split the training data into training and validation sets.
  
      All data is passed as the training set, test data is simply an array of
      `None`. To be used for future unsupervised learning, should not be used
      in any of the currently supported pipelines.
  
      Args:
          random_seed (int): The seed to use for random sampling. Defaults to 0. Not used.
      """
  
      def __init__(
          self,
          random_seed=0,
      ):
          self.random_seed = random_seed
  
      @staticmethod
      def get_n_splits():
          """Return the number of splits of this object.
  
          Returns:
              int: Always returns 0.
          """
          return 0
  
      def split(self, X, y=None):
          """Divide the data into training and testing sets, where the testing set is empty.
  
          Args:
              X (pd.DataFrame): Dataframe of points to split
              y (pd.Series): Series of points to split
  
          Returns:
              list: Indices to split data into training and test set
          """
          return iter([(np.arange(X.shape[0]), [])])
  