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]
docstr: Records one environment step.
code: def observe(
      self,
      env: dm_env.Environment,
      timestep: dm_env.TimeStep,
      action: np.ndarray,
  ) -> None:
      """Records one environment step."""
      self._measurements.append(timestep.observation)
  
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 3 for calling the MeasurementObserver obj's underlying member method code with example usage: obj.observe(env, timestep, action) without return types