text: # This Software (Dioptra) is being made available as a public service by the
  # National Institute of Standards and Technology (NIST), an Agency of the United
  # States Department of Commerce. This software was developed in part by employees of
  # NIST and in part by NIST contractors. Copyright in portions of this software that
  # were developed by NIST contractors has been licensed or assigned to NIST. Pursuant
  # to Title 17 United States Code Section 105, works of NIST employees are not
  # subject to copyright protection in the United States. However, NIST may hold
  # international copyright in software created by its employees and domestic
  # copyright (or licensing rights) in portions of software that were assigned or
  # licensed to NIST. To the extent that NIST holds copyright in this software, it is
  # being made available under the Creative Commons Attribution 4.0 International
  # license (CC BY 4.0). The disclaimers of the CC BY 4.0 license apply to all parts
  # of the software developed or licensed by NIST.
  #
  # ACCESS THE FULL CC BY 4.0 LICENSE HERE:
  # https://creativecommons.org/licenses/by/4.0/legalcode
  from __future__ import annotations
  
  from typing import Any
  
  import structlog
  from multimethod import multimethod
  from structlog.stdlib import BoundLogger
  
  LOGGER: BoundLogger = structlog.stdlib.get_logger()
  
  
  @multimethod
  def estimator_predict(estimator: Any, x: Any, **kwargs) -> Any:
      LOGGER.info(
          "Dispatching to generic function",
          generic="estimator_predict",
          estimator="Generic fallback",
          args_signature=("Any", "Any"),
      )
  
      try:
          prediction_results: Any = estimator.predict(x, **kwargs)
  
      except AttributeError:
          LOGGER.exception("Estimator does not have a generic predict method")
          raise
  
      return prediction_results
  