class_docstr: Masks part of the action space to enforce the agent to work in a defined space. For example,
  if the original action space is between -1 and 1, then this filter can be used in order to constrain the agent actions
  to the range 0 and 1 instead. This essentially masks the range -1 and 0 from the agent.
  The resulting action space will be shifted and will always start from 0 and have the size of the unmasked area.
code: def filter(self, action: ActionType) -> ActionType:
      return action + self.offset
  
file_path: coach/rl_coach/filters/action/box_masking.py
imports: from typing import Union
  import numpy
  from rl_coach.core_types import ActionType
  from rl_coach.filters.action.action_filter import ActionFilter
  from rl_coach.spaces import BoxActionSpace
label_desc: Use image node_id 5 for calling the BoxMasking obj's underlying member method code with example usage: obj.filter(action) and returns: unknown