




"""simple docstring"""




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


a_        =       logging.get_logger(__name__)

# TODO: upload to AWS
a_        =       {
    'yjernite/retribert-base-uncased': (
        'https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/config.json'
    ),
}

class   UpperCAmelCase_    (			__lowercase		):
		UpperCamelCase							="retribert"
		def __init__(						self				,						UpperCamelCase_=3_05_22				,						UpperCamelCase_=7_68				,						UpperCamelCase_=8				,						UpperCamelCase_=12				,						UpperCamelCase_=30_72				,						UpperCamelCase_="gelu"				,						UpperCamelCase_=0.1				,						UpperCamelCase_=0.1				,						UpperCamelCase_=5_12				,						UpperCamelCase_=2				,						UpperCamelCase_=0.0_2				,						UpperCamelCase_=1E-12				,						UpperCamelCase_=True				,						UpperCamelCase_=1_28				,						UpperCamelCase_=0				,						**UpperCamelCase_				,						)						->       Tuple:
					super().__init__(pad_token_id=_A				,						**_A       )

					__lowercase			:  Optional[Any]								=       vocab_size
					__lowercase			:  Tuple								=       hidden_size
					__lowercase			:  List[str]								=       num_hidden_layers
					__lowercase			:  Any								=       num_attention_heads
					__lowercase			:  Dict								=       hidden_act
					__lowercase			:  Tuple								=       intermediate_size
					__lowercase			:  Optional[int]								=       hidden_dropout_prob
					__lowercase			:  Tuple								=       attention_probs_dropout_prob
					__lowercase			:  Tuple								=       max_position_embeddings
					__lowercase			:  Union[str, Any]								=       type_vocab_size
					__lowercase			:  Optional[int]								=       initializer_range
					__lowercase			:  Any								=       layer_norm_eps
					__lowercase			:  List[Any]								=       share_encoders
					__lowercase			:  Tuple								=       projection_dim




import logging
import os

from .state import PartialState
class     lowerCAmelCase_     (       logging.LoggerAdapter ):







							@staticmethod
							def  UpperCamelCase_						(   _A      :     Any		):
												_UpperCamelCase			     =     PartialState()
												return not main_process_only or (main_process_only and state.is_main_process)







							def  UpperCamelCase_						(   self      :     Union[str, Any] ,			_A      :     Optional[Any] ,			_A      :     str ,			*_A      :     int ,			**_A      :     List[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''' ,			_A		)
												_UpperCamelCase			     =     kwargs.pop('''in_order''' ,			_A		)

												if self.isEnabledFor(_A		):
																	if self._should_log(_A		):
																						_UpperCamelCase     ,    _UpperCamelCase			     =     self.process(_A ,			_A		)
																						self.logger.log(_A ,			_A ,			*_A ,			**_A		)

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




def 					_snake_case	(  __snake_case  ,     __snake_case = None						):
					if log_level is None:
										_UpperCamelCase			     =     os.environ.get('''ACCELERATE_LOG_LEVEL'''  ,     __snake_case						)
					_UpperCamelCase			     =     logging.getLogger(__snake_case						)
					if log_level is not None:
										logger.setLevel(log_level.upper()						)
										logger.root.setLevel(log_level.upper()						)
					return MultiProcessAdapter(__snake_case  ,     {}						)
