class_docstr: Implementation of the 3-arm T-Maze environment 
class_docstr_tok: ["Implementation","of","the","3-arm","T-Maze","environment"]
code: def sample_action(self):
      return [
          np.random.randint(self.num_controls[i])
          for i in range(self.num_factors)
      ]
  
imports: from pymdp.envs import Env
  from pymdp import utils, maths
  import numpy
label_desc: Use image node_id 5 for calling the TMazeEnv obj's underlying member method code with example usage: obj.sample_action() and returns: unknown