

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_        =      logging.get_logger(__name__)

class 				a  (	UpperCAmelCase				):
						_lowercase    						=			"encoder-decoder"
						_lowercase    						=			True


						def __init__(       self						,					**A_	):







										'''simple docstring'''


										super().__init__(**A_	)
										assert (
										    "encoder" in kwargs and "decoder" in kwargs
										), "Config has to be initialized with encoder and decoder config"
										_UpperCAmelCase       :		Tuple 		=    kwargs.pop("encoder"	)
										_UpperCAmelCase       :		Tuple 		=    encoder_config.pop("model_type"	)
										_UpperCAmelCase       :		int 		=    kwargs.pop("decoder"	)
										_UpperCAmelCase       :		Any 		=    decoder_config.pop("model_type"	)

										from ..auto.configuration_auto import AutoConfig

										_UpperCAmelCase       :		Optional[Any] 		=    AutoConfig.for_model(A_						,					**A_	)
										_UpperCAmelCase       :		Any 		=    AutoConfig.for_model(A_						,					**A_	)
										_UpperCAmelCase       :		Any 		=    True


						@classmethod
						def        _UpperCAmelCase				(       cls						,					A_						,					A_						,					**A_	):







										'''simple docstring'''


										logger.info("Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"	)
										_UpperCAmelCase       :		Tuple 		=    True
										_UpperCAmelCase       :		str 		=    True

										return cls(encoder=encoder_config.to_dict()						,					decoder=decoder_config.to_dict()						,					**A_	)





						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										_UpperCAmelCase       :		Tuple 		=    copy.deepcopy(self.__dict__	)
										_UpperCAmelCase       :		Dict 		=    self.encoder.to_dict()
										_UpperCAmelCase       :		Any 		=    self.decoder.to_dict()
										_UpperCAmelCase       :		Union[str, Any] 		=    self.__class__.model_type
										return output





import logging
import os

from .state import PartialState

class 				a  (	logging.LoggerAdapter				):


						@staticmethod
						def        _UpperCAmelCase				(       A_	):







										'''simple docstring'''


										_UpperCAmelCase       :		Tuple 		=    PartialState()
										return not main_process_only or (main_process_only and state.is_main_process)





						def        _UpperCAmelCase				(       self						,					A_						,					A_						,					*A_						,					**A_	):







										'''simple docstring'''


										if PartialState._shared_state == {}:
														raise RuntimeError(
														    "You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility."	)
										_UpperCAmelCase       :		Tuple 		=    kwargs.pop("main_process_only"						,					A_	)
										_UpperCAmelCase       :		int 		=    kwargs.pop("in_order"						,					A_	)

										if self.isEnabledFor(A_	):
														if self._should_log(A_	):
																		_UpperCAmelCase		,							_UpperCAmelCase       :		Optional[int] 		=    self.process(A_						,					A_	)
																		self.logger.log(A_						,					A_						,					*A_						,					**A_	)

														elif in_order:
																		_UpperCAmelCase       :		Dict 		=    PartialState()
																		for i in range(state.num_processes	):
																						if i == state.process_index:
																										_UpperCAmelCase		,							_UpperCAmelCase       :		Union[str, Any] 		=    self.process(A_						,					A_	)
																										self.logger.log(A_						,					A_						,					*A_						,					**A_	)
																						state.wait_for_everyone()







def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  str  ,      lowerCAmelCase:  str = None )   ->       List[Any]:
				if log_level is None:
								_UpperCAmelCase       :		List[str] 		=    os.environ.get("ACCELERATE_LOG_LEVEL"  ,      lowerCAmelCase )
				_UpperCAmelCase       :		str 		=    logging.getLogger(lowerCAmelCase )
				if log_level is not None:
								logger.setLevel(log_level.upper() )
								logger.root.setLevel(log_level.upper() )
				return MultiProcessAdapter(lowerCAmelCase  ,      {} )


