class_docstr: Dummy structured (multi-agent, with two agents) core environment.
  
  :param observation_space: The observation space to sample observations from
class_docstr_tok: ["Dummy","structured","(","multi-agent",",","with","two","agents",")","core","environment",".",":","param","observation_space",":","The","observation","space","to","sample","observations","from"]
code: def __init__(self, observation_space: gym.spaces.space.Space):
      super().__init__()
      self.observation_space = observation_space
      self.current_agent = 0
  
file_path: maze/maze/test/shared_test_utils/dummy_env/dummy_structured_core_env.py
imports: from typing import Tuple, Dict, Any, Optional
  import gym
  import numpy
  from maze.core.annotations import override
  from maze.core.env.core_env import CoreEnv
  from maze.core.env.structured_env import StepKeyType, ActorID
label_desc: Use image node_id 1 to create a new DummyStructuredCoreEnvironment object from inherited base classes: CoreEnv with example: obj = DummyStructuredCoreEnvironment(observation_space)