class_docstr: Observer the provides statistics for measurements at every timestep.
  
  This assumes the measurements is a multidimensional array with a static spec.
  Warning! It is not intended to be used for high dimensional observations.
  
  self._measurements: List[np.ndarray]
code: def __init__(self):
      self._measurements = []
  
file_path: acme/acme/utils/observers/measurement_metrics.py
imports: from typing import Mapping, List
  from acme.utils.observers import base
  import dm_env
  import numpy
label_desc: Use image node_id 1 to create a new MeasurementObserver object from inherited base classes: base with example: obj = MeasurementObserver()