

import logging
import os

from .state import PartialState






class 						__magic_name__					(							logging.LoggerAdapter				):






     @staticmethod
     def 	UpperCAmelCase_				(				_lowercase	)->     Dict:
         UpperCamelCase_			  =						PartialState()
         return not main_process_only or (main_process_only and state.is_main_process)






     def 	UpperCAmelCase_				(				self		,						_lowercase		,						_lowercase		,						*_lowercase		,						**_lowercase	)->     Optional[Any]:
         if PartialState._shared_state == {}:
             raise RuntimeError(
                 "You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility."	)
         UpperCamelCase_			  =						kwargs.pop("main_process_only"		,						_lowercase	)
         UpperCamelCase_			  =						kwargs.pop("in_order"		,						_lowercase	)

         if self.isEnabledFor(_lowercase	):
             if self._should_log(_lowercase	):
                 UpperCamelCase_  ,       UpperCamelCase_			  =						self.process(_lowercase		,						_lowercase	)
                 self.logger.log(_lowercase		,						_lowercase		,						*_lowercase		,						**_lowercase	)

             elif in_order:
                 UpperCamelCase_			  =						PartialState()
                 for i in range(state.num_processes	):
                     if i == state.process_index:
                         UpperCamelCase_  ,       UpperCamelCase_			  =						self.process(_lowercase		,						_lowercase	)
                         self.logger.log(_lowercase		,						_lowercase		,						*_lowercase		,						**_lowercase	)
                     state.wait_for_everyone()




def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_ = None			)->						Tuple:



    """simple docstring"""






    if log_level is None:
        UpperCamelCase_			  =						os.environ.get("ACCELERATE_LOG_LEVEL"			,						SCREAMING_SNAKE_CASE_			)
    UpperCamelCase_			  =						logging.getLogger(SCREAMING_SNAKE_CASE_			)
    if log_level is not None:
        logger.setLevel(log_level.upper()			)
        logger.root.setLevel(log_level.upper()			)
    return MultiProcessAdapter(SCREAMING_SNAKE_CASE_			,						{}			)



from __future__ import annotations

import math




def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)->						int:



    """simple docstring"""






    if depth < 0:
        raise ValueError("Depth cannot be less than 0"			)

    if len(SCREAMING_SNAKE_CASE_			) == 0:
        raise ValueError("Scores cannot be empty"			)

    if depth == height:
        return scores[node_index]

    if is_max:
        return max(
            minimax(depth + 1			,						node_index * 2			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)			,						minimax(depth + 1			,						node_index * 2 + 1			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)			,						)

    return min(
        minimax(depth + 1			,						node_index * 2			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)			,						minimax(depth + 1			,						node_index * 2 + 1			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)			,						)




def 			lowerCAmelCase(      )->						None:



    """simple docstring"""






    UpperCamelCase_			  =						[9_0, 2_3, 6, 3_3, 2_1, 6_5, 1_2_3, 3_4_4_2_3]
    UpperCamelCase_			  =						math.log(len(SCREAMING_SNAKE_CASE_			)			,						2			)
    print("Optimal value : "			,						end=""			)
    print(minimax(0			,						0			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)			)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()
