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  #  Licensed under the Apache License, Version 2.0 (the "License");
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  #
  #       https://www.apache.org/licenses/LICENSE-2.0
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  """Models used by the Facets integration."""
  
  from typing import Dict, List, Union
  
  import pandas as pd
  from pydantic import BaseModel, ConfigDict
  
  
  class FacetsComparison(BaseModel):
      """Facets comparison model.
  
      Returning this from any step will automatically visualize the datasets
      statistics using Facets.
  
      Attributes:
          datasets: List of datasets to compare. Should be in the format
              `[{"name": "dataset_name", "table": pd.DataFrame}, ...]`.
      """
  
      datasets: List[Dict[str, Union[str, pd.DataFrame]]]
      model_config = ConfigDict(arbitrary_types_allowed=True)
  