text: # coding=utf-8
  # Copyright 2022 The Google Research Authors.
  #
  # 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
  #
  #     http://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.
  
  """Python typing definitions.
  
  Library of typing definitions used through the project
  """
  
  import enum
  from typing import Dict, List, Optional, Tuple, Union
  
  import numpy as np
  from sklearn import preprocessing
  import tensorflow as tf
  
  FeatureScaler = Union[preprocessing.MinMaxScaler, preprocessing.StandardScaler]
  GroundTruthTimeSeriesTuple = Tuple[tf.Tensor, Dict[str, tf.Tensor],
                                     Dict[str, tf.Tensor], List[str],
                                     Dict[str, Dict[str, np.ndarray]]]
  TimeSeriesFeature = Dict[str, np.ndarray]  # location-->values map
  StaticFeature = Dict[str, float]  # location-->values map
  TimeSeriesFeaturesDict = Dict[str, Optional[TimeSeriesFeature]]
  StaticFeaturesDict = Dict[str, Optional[StaticFeature]]
  FeatureScalersDict = Dict[str, Optional[FeatureScaler]]
  
  
  class FeatureType(enum.Enum):
    """Type of feature."""
  
    TIMESERIES = "timeseries"
    STATIC = "static"
  