class_docstr: An interface to the kaggle's football environment.
  
  See: https://github.com/Kaggle/kaggle-environments
class_docstr_tok: ["An","interface","to","the","kaggle","'s","football","environment",".","See",":","https",":","\/\/github.com\/Kaggle\/kaggle-environments"]
docstr: Initializes a Kaggle football environment.
  
  Args:
      configuration (Optional[Dict[str, Any]]): configuration of the
          football environment. For detailed information, see:
          https://github.com/Kaggle/kaggle-environments/blob/master/kaggle_                environments/envs/football/football.json
docstr_tok: ["Initializes","a","Kaggle","football","environment",".","Args",":","configuration","(","Optional","[","Dict","[","str",",","Any","]","]",")",":","configuration","of","the","football","environment",".","For","detailed","information",",","see",":","https",":","\/\/github.com\/Kaggle\/kaggle-environments\/blob\/master\/kaggle_","environments\/envs\/football\/football.json"]
code: def __init__(
      self, configuration: Optional[Dict[str, Any]] = None
  ) -> None:
      """Initializes a Kaggle football environment.
  
          Args:
              configuration (Optional[Dict[str, Any]]): configuration of the
                  football environment. For detailed information, see:
                  https://github.com/Kaggle/kaggle-environments/blob/master/kaggle_\
                  environments/envs/football/football.json
          """
      super().__init__()
      self.kaggle_env = kaggle_environments.make(
          "football", configuration=configuration or {}
      )
      self.last_cumulative_reward = None
  
file_path: ray/rllib/env/wrappers/kaggle_wrapper.py
imports: from copy import deepcopy
  from gymnasium.spaces import Box, Dict, Discrete, MultiBinary, MultiDiscrete, Space, Tuple
  import numpy
  from typing import Any, Dict, Optional, Tuple
  from ray.rllib.env import MultiAgentEnv
  from ray.rllib.utils.typing import MultiAgentDict, AgentID
label_desc: Use image node_id 1 to create a new KaggleFootballMultiAgentEnv object from inherited base classes: MultiAgentEnv with example: obj = KaggleFootballMultiAgentEnv(configuration)