class_docstr: Customized target trajectory here, it support 3 ways currently
  1.fixed_speed, e.g. reset(.., fixed_speed=1.25)
  2.stage , e.g. reset(.., stage=1)
  3.boundary, e.g. reset(.., boundary=True)
class_docstr_tok: ["Customized","target","trajectory","here",",","it","support","3","ways","currently","1.fixed_speed",",","e.g",".","reset","(","..",",","fixed_speed=1.25",")","2.stage",",","e.g",".","reset","(","..",",","stage=1",")","3.boundary",",","e.g",".","reset","(","..",",","boundary=True",")"]
code: def _generate_boundary_table(
      self,
  ):
      possible_combine = [
          (math.pi / 8, 0.5),
          (math.pi / 8, -0.5),
          (-math.pi / 8, 0.5),
          (-math.pi / 8, -0.5),
      ]
      self._boundary_table = []
      for a in possible_combine:
          for b in possible_combine:
              for c in possible_combine:
                  self._boundary_table.append([a, b, c])
      assert len(self._boundary_table) == 64
  
imports: import abc
  import gym
  import math
  import numpy
  import random
  from collections import OrderedDict
  from osim.env import ProstheticsEnv
  from parl.utils import logger
  from tqdm import tqdm
label_desc: Use image node_id 3 for calling the CustomR2Env obj's underlying member method code with example usage: obj._generate_boundary_table() without return types