class_docstr: Dummy normalization strategy.
      
docstr: Implementation of :class:`~maze.core.wrappers.observation_normalization.observation_normalization_strategy.
  ObservationNormalizationStrategy` interface.
docstr_tok: ["Implementation","of",":","class",":","`","~maze.core.wrappers.observation_normalization.observation_normalization_strategy",".","ObservationNormalizationStrategy","`","interface","."]
code: def estimate_stats(
      self, observations: List[np.ndarray]
  ) -> StatisticsType:
      """Implementation of :class:`~maze.core.wrappers.observation_normalization.observation_normalization_strategy.
      ObservationNormalizationStrategy` interface.
      """
  
      # compute statistics
      array = np.vstack(observations)
      statistics = {
          "stat_1": np.max(array, axis=0),
          "stat_2": np.min(array, axis=0),
      }
  
      return statistics
  
file_path: maze/maze/test/core/wrappers/observation_normalization/normalization_strategies/dummy_observation_normalization_strategy.py
imports: from typing import List
  import numpy
  from maze.core.annotations import override
  from maze.core.wrappers.observation_normalization.normalization_strategies.base import ObservationNormalizationStrategy, StatisticsType
label_desc: Use image node_id 1 for calling the DummyObservationNormalizationStrategy obj's underlying member method code with example usage: obj.estimate_stats(observations) and returns: statistics