class_docstr: Implementation of the visual foraging environment used for scene construction simulations 
class_docstr_tok: ["Implementation","of","the","visual","foraging","environment","used","for","scene","construction","simulations"]
code: def reset(self, state=None):
      if state is None:
          loc_state = np.zeros(self.n_locations)
          loc_state[0] = 1.0
          scene_state = np.zeros(self.n_scenes)
          self._true_scene = np.random.randint(self.n_scenes)
          scene_state[self._true_scene] = 1.0
          full_state = np.empty(self.n_factors, dtype=object)
          full_state[LOCATION_ID] = loc_state
          full_state[SCENE_ID] = scene_state
          self._state = Categorical(values=full_state)
      else:
          self._state = Categorical(values=state)
      return self._get_observation()
  
imports: from pymdp.envs import Env
  from pymdp import utils, maths
  import numpy
  from itertools import permutations, product
label_desc: Use image node_id 2 for calling the VisualForagingEnv obj's underlying member method code with example usage: obj.reset(state) and returns: self