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.
  """Implementation of the Neural Prophet materializer."""
  
  from typing import Any, ClassVar, Tuple, Type
  
  from neuralprophet import NeuralProphet
  
  from zenml.enums import ArtifactType
  from zenml.integrations.pytorch.materializers.base_pytorch_materializer import (
      BasePyTorchMaterializer,
  )
  
  # TODO [ENG-794]: The integration consists of a simple materializer that uses the
  #  torch load and save methods which is the [current recommended way of storing
  #  NeuralProphet models on disk](https://github.com/ourownstory/neural_prophet/issues/27).
  #  Update this once a better implementation is exposed.
  
  DEFAULT_FILENAME = "entire_model.pt"
  
  
  class NeuralProphetMaterializer(BasePyTorchMaterializer):
      """Materializer to read/write NeuralProphet models."""
  
      ASSOCIATED_TYPES: ClassVar[Tuple[Type[Any], ...]] = (NeuralProphet,)
      ASSOCIATED_ARTIFACT_TYPE: ClassVar[ArtifactType] = ArtifactType.MODEL
      FILENAME: ClassVar[str] = DEFAULT_FILENAME
  