






class 				_A			:
    """simple docstring"""

    def __init__(				self      :     Dict ,     __SCREAMING_SNAKE_CASE      :     list      )      ->							None:
           __UpperCAmelCase     				=set_counts
           __UpperCAmelCase     				=max(__SCREAMING_SNAKE_CASE      )
           __UpperCAmelCase     				=len(__SCREAMING_SNAKE_CASE      )
           __UpperCAmelCase     				=[1] * num_sets
           __UpperCAmelCase     				=list(range(__SCREAMING_SNAKE_CASE      )      )



    def _a							(				self      :     Optional[Any] ,     __SCREAMING_SNAKE_CASE      :     int ,     __SCREAMING_SNAKE_CASE      :     int      )      ->							bool:
           __UpperCAmelCase     				=self.get_parent(__SCREAMING_SNAKE_CASE      )
           __UpperCAmelCase     				=self.get_parent(__SCREAMING_SNAKE_CASE      )

           if src_parent == dst_parent:
                  return False

           if self.ranks[dst_parent] >= self.ranks[src_parent]:
                  self.set_counts[dst_parent] += self.set_counts[src_parent]
                  __UpperCAmelCase     				=0
                  __UpperCAmelCase     				=dst_parent
                  if self.ranks[dst_parent] == self.ranks[src_parent]:
                         self.ranks[dst_parent] += 1
                  __UpperCAmelCase     				=self.set_counts[dst_parent]
           else:
                  self.set_counts[src_parent] += self.set_counts[dst_parent]
                  __UpperCAmelCase     				=0
                  __UpperCAmelCase     				=src_parent
                  __UpperCAmelCase     				=self.set_counts[src_parent]

           __UpperCAmelCase     				=max(self.max_set ,     __SCREAMING_SNAKE_CASE      )
           return True



    def _a							(				self      :     List[str] ,     __SCREAMING_SNAKE_CASE      :     int      )      ->							int:
           if self.parents[disj_set] == disj_set:
                  return disj_set
           __UpperCAmelCase     				=self.get_parent(self.parents[disj_set]      )
           return self.parents[disj_set]





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowercase:	Optional[Any]       			=		logging.get_logger(__name__)

_lowercase:	Tuple       			=		{
    '''andreasmadsen/efficient_mlm_m0.40''': (
        '''https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json'''
    ),
}



class        lowerCamelCase__				(   UpperCAmelCase				):
			UpperCamelCase__    							="roberta-prelayernorm"





			def __init__(       self	:	int  ,  lowercase__	:	int=5_02_65  ,  lowercase__	:	str=7_68  ,  lowercase__	:	List[Any]=12  ,  lowercase__	:	Any=12  ,  lowercase__	:	Optional[Any]=30_72  ,  lowercase__	:	List[Any]="gelu"  ,  lowercase__	:	str=0.1  ,  lowercase__	:	List[Any]=0.1  ,  lowercase__	:	Tuple=5_12  ,  lowercase__	:	Optional[int]=2  ,  lowercase__	:	Dict=0.0_2  ,  lowercase__	:	Tuple=1e-12  ,  lowercase__	:	Optional[int]=1  ,  lowercase__	:	Optional[int]=0  ,  lowercase__	:	Union[str, Any]=2  ,  lowercase__	:	Any="absolute"  ,  lowercase__	:	Any=True  ,  lowercase__	:	Any=None  ,  **lowercase__	:	Optional[int]  ,  ):
										super().__init__(pad_token_id=lowercase__  ,  bos_token_id=lowercase__  ,  eos_token_id=lowercase__  ,  **lowercase__						)

										_lowerCAmelCase							=							vocab_size
										_lowerCAmelCase							=							hidden_size
										_lowerCAmelCase							=							num_hidden_layers
										_lowerCAmelCase							=							num_attention_heads
										_lowerCAmelCase							=							hidden_act
										_lowerCAmelCase							=							intermediate_size
										_lowerCAmelCase							=							hidden_dropout_prob
										_lowerCAmelCase							=							attention_probs_dropout_prob
										_lowerCAmelCase							=							max_position_embeddings
										_lowerCAmelCase							=							type_vocab_size
										_lowerCAmelCase							=							initializer_range
										_lowerCAmelCase							=							layer_norm_eps
										_lowerCAmelCase							=							position_embedding_type
										_lowerCAmelCase							=							use_cache
										_lowerCAmelCase							=							classifier_dropout







class        lowerCamelCase__				(   UpperCAmelCase				):





			@property
			def   SCREAMING_SNAKE_CASE__     (       self	:	List[str]						):
										if self.task == "multiple-choice":
																	_lowerCAmelCase							=							{0: 'batch', 1: 'choice', 2: 'sequence'}
										else:
																	_lowerCAmelCase							=							{0: 'batch', 1: 'sequence'}
										return OrderedDict(
										    [
										        ('input_ids', dynamic_axis),
										        ('attention_mask', dynamic_axis),
										    ]						)






