class_docstr: Common superclass for the structured vectorised env implementations in Maze.
  
  :param n_envs: The number of vectorised environments.
  :param action_spaces_dict: Action spaces dict (not vectorized, as it is the same for all environments)
  :param observation_spaces_dict: Observation spaces dict (not vectorized, as it is the same for all environments)
  :param logging_prefix: If set, will report epoch statistics under this logging prefix.
docstr: Return current env time for all vectorised environments.
docstr_tok: ["Return","current","env","time","for","all","vectorised","environments","."]
code: def get_env_time(self) -> np.ndarray:
      """Return current env time for all vectorised environments."""
      return self._env_times
  
imports: from abc import ABC, abstractmethod
  from typing import Dict, Union, Optional, Callable
  import gym
  import numpy
  from maze.core.annotations import override
  from maze.core.env.structured_env import StructuredEnv, ActorID, StepKeyType
  from maze.core.env.structured_env_spaces_mixin import StructuredEnvSpacesMixin
  from maze.core.env.time_env_mixin import TimeEnvMixin
  from maze.core.log_stats.log_stats import LogStatsAggregator, LogStatsLevel, get_stats_logger, LogStatsValue
  from maze.core.log_stats.log_stats_env import LogStatsEnv
  from maze.train.parallelization.vector_env.vector_env import VectorEnv
label_desc: Use image node_id 6 for calling the StructuredVectorEnv obj's underlying member method code with example usage: obj.get_env_time() and returns: self