class_docstr: Interface definition for reinforcement learning environments
  defining the minimum required functionality for being considered an environment.
docstr: Sets the seed for this environment.
  
  Commonly an integer is sufficient to seed the random number generator(s), but more expressive env-specific
  seed structured are also supported.
  
  :param: seed: the seed integer initializing the random number generator or an env-specific seed structure.
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code: def seed(self, seed: Any) -> None:
      """Sets the seed for this environment.
  
      Commonly an integer is sufficient to seed the random number generator(s), but more expressive env-specific
      seed structured are also supported.
  
      :param: seed: the seed integer initializing the random number generator or an env-specific seed structure.
      """
  
file_path: maze/maze/core/env/base_env.py
imports: from abc import ABC, abstractmethod
  from typing import Tuple, Any, Dict
label_desc: Use image node_id 3 for calling the BaseEnv obj's underlying member method code with example usage: obj.seed(seed) without return types