class_docstr: A (possibly unbounded) box in :math:`\mathbb{R}^n`.
  
  Specifically, a Box represents the Cartesian product of n closed intervals.
  Each interval has the form of one of :math:`[a, b]`, :math:`(-\infty, b]`,
  :math:`[a, \infty)`, or :math:`(-\infty, \infty)`.
  
  There are two common use cases:
  
  * Identical bound for each dimension::
  
      >>> Box(low=-1.0, high=2.0, shape=(3, 4), dtype=np.float32)
      Box(3, 4)
  
  * Independent bound for each dimension::
  
      >>> Box(low=np.array([-1.0, -2.0]), high=np.array([2.0, 4.0]), dtype=np.float32)
      Box(2,)
docstr: Checks whether this space can be flattened to a :class:`spaces.Box`.
docstr_tok: ["Checks","whether","this","space","can","be","flattened","to","a",":","class",":","`","spaces.Box","`","."]
code: def is_np_flattenable(self):
      """Checks whether this space can be flattened to a :class:`spaces.Box`."""
      return True
  
imports: from typing import Dict, List, Optional, Sequence, SupportsFloat, Tuple, Type, Union
  import numpy
  import gym.error
  from gym import logger
  from gym.spaces.space import Space
label_desc: Use image node_id 3 for calling the Box obj's underlying member method code with example usage: obj.is_np_flattenable() and returns: True