class_docstr: Clips the observation values to a given range of values.
  For example, if the observation consists of measurements in an arbitrary range,
  and we want to control the minimum and maximum values of these observations,
  we can define a range and clip the values of the measurements.
code: def get_filtered_observation_space(
      self, input_observation_space: ObservationSpace
  ) -> ObservationSpace:
      return input_observation_space
  
file_path: coach/rl_coach/filters/observation/observation_clipping_filter.py
imports: import numpy
  from rl_coach.core_types import ObservationType
  from rl_coach.filters.observation.observation_filter import ObservationFilter
  from rl_coach.spaces import ObservationSpace
label_desc: Use image node_id 3 for calling the ObservationClippingFilter obj's underlying member method code with example usage: obj.get_filtered_observation_space(input_observation_space) and returns: input_observation_space