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from abc import ABC, abstractmethod
from typing import Literal, Dict, Tuple

class BaseEnv(ABC):
    ENV_CARD: Literal["STATIC", "DYNAMIC"] = None

    def __init__(self, config):
        self.config = config

    @classmethod
    @abstractmethod
    def compute_reward(cls, **kwargs):
        ...


class StaticEnv(BaseEnv):
    ENV_CARD = "STATIC"
    

class DynamicEnv(BaseEnv):
    ENV_CARD = "DYNAMIC"
    
    @abstractmethod
    def set_env(self, task_config: Dict) -> Tuple[str, str]:  
        ...

    @classmethod
    @abstractmethod
    def preprocess_action(self, action: str) -> str:
        ...
    
    @abstractmethod
    def step(self, action: str) -> Tuple[str, bool]:
        ...
    
    @abstractmethod
    def feedback(self) -> Tuple[float, bool]:
        ...

	from abc import ABC, abstractmethod
	from typing import Literal, Dict, Tuple

	class BaseEnv(ABC):
	ENV_CARD: Literal["STATIC", "DYNAMIC"] = None

	def __init__(self, config):
	self.config = config

	@classmethod
	@abstractmethod
	def compute_reward(cls, **kwargs):
	...


	class StaticEnv(BaseEnv):
	ENV_CARD = "STATIC"


	class DynamicEnv(BaseEnv):
	ENV_CARD = "DYNAMIC"

	@abstractmethod
	def set_env(self, task_config: Dict) -> Tuple[str, str]:
	...

	@classmethod
	@abstractmethod
	def preprocess_action(self, action: str) -> str:
	...

	@abstractmethod
	def step(self, action: str) -> Tuple[str, bool]:
	...

	@abstractmethod
	def feedback(self) -> Tuple[float, bool]:
	...