
"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

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


_snake_case          = logging.get_logger(__name__)

_snake_case          = {
    '''facebook/data2vec-text-base''': '''https://huggingface.co/data2vec/resolve/main/config.json''',
}
class        _SCREAMING_SNAKE_CASE  (  lowercase_							):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE_:							List[str]							=					"data2vec-text"


				def __init__(					self	:			int				,     UpperCAmelCase_	:			Tuple=30_522				,     UpperCAmelCase_	:			Dict=768				,     UpperCAmelCase_	:			Any=12				,     UpperCAmelCase_	:			Union[str, Any]=12				,     UpperCAmelCase_	:			Union[str, Any]=3_072				,     UpperCAmelCase_	:			List[str]="gelu"				,     UpperCAmelCase_	:			List[str]=0.1				,     UpperCAmelCase_	:			str=0.1				,     UpperCAmelCase_	:			Optional[int]=512				,     UpperCAmelCase_	:			Union[str, Any]=2				,     UpperCAmelCase_	:			Optional[int]=0.02				,     UpperCAmelCase_	:			Union[str, Any]=1E-1_2				,     UpperCAmelCase_	:			Dict=1				,     UpperCAmelCase_	:			List[str]=0				,     UpperCAmelCase_	:			Optional[Any]=2				,     UpperCAmelCase_	:			Optional[Any]="absolute"				,     UpperCAmelCase_	:			Optional[Any]=True				,     UpperCAmelCase_	:			Optional[Any]=None				,     **UpperCAmelCase_	:			int				,     )		->  Tuple:







											"""simple docstring"""




											super().__init__(pad_token_id=lowerCamelCase_				,     bos_token_id=lowerCamelCase_				,     eos_token_id=lowerCamelCase_				,     **lowerCamelCase_  )

											_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        _SCREAMING_SNAKE_CASE  (  lowercase_							):






				'''simple docstring'''



				@property
				def 				__lowerCamelCase	(					self	:			List[Any]  )		->  Union[str, Any]:







											"""simple docstring"""




											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),
											    ]  )








"""simple docstring"""



def 	__snake_case  (    SCREAMING_SNAKE_CASE:					str						):






							"""simple docstring"""



							_lowerCAmelCase  	=			0

							# if input_string is "aba" than new_input_string become "a|b|a"
							_lowerCAmelCase  	=			''
							_lowerCAmelCase  	=			''

							# append each character + "|" in new_string for range(0, length-1)
							for i in input_string[: len(SCREAMING_SNAKE_CASE						) - 1]:
														new_input_string += i + "|"
							# append last character
							new_input_string += input_string[-1]

							# we will store the starting and ending of previous furthest ending palindromic
							# substring
							_lowerCAmelCase	,		_lowerCAmelCase  	=			0, 0

							# length[i] shows the length of palindromic substring with center i
							_lowerCAmelCase  	=			[1 for i in range(len(SCREAMING_SNAKE_CASE						)						)]

							# for each character in new_string find corresponding palindromic string
							_lowerCAmelCase  	=			0
							for j in range(len(SCREAMING_SNAKE_CASE						)						):
														_lowerCAmelCase  	=			1 if j > r else min(length[l + r - j] // 2     ,  r - j + 1						)
														while (
														    j - k >= 0
														    and j + k < len(SCREAMING_SNAKE_CASE						)
														    and new_input_string[k + j] == new_input_string[j - k]
														):
																					k += 1

														_lowerCAmelCase  	=			2 * k - 1

														# does this string is ending after the previously explored end (that is r) ?
														# if yes the update the new r to the last index of this
														if j + k - 1 > r:
																					_lowerCAmelCase  	=			j - k + 1  # noqa: E741
																					_lowerCAmelCase  	=			j + k - 1

														# update max_length and start position
														if max_length < length[j]:
																					_lowerCAmelCase  	=			length[j]
																					_lowerCAmelCase  	=			j

    # create that string
							_lowerCAmelCase  	=			new_input_string[start - max_length // 2 : start + max_length // 2 + 1]
							for i in s:
														if i != "|":
																					output_string += i

							return output_string


if __name__ == "__main__":
	import doctest

	doctest.testmod()






