


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


snake_case							: str      =   logging.get_logger(__name__)

snake_case							: Tuple      =   {
    '''microsoft/markuplm-base''': '''https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json''',
    '''microsoft/markuplm-large''': '''https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json''',
}







class  snake_case_     (lowerCamelCase_   ):
					UpperCAmelCase__      :					int					   =    '''markuplm'''
					def __init__(   self     :List[str]    ,__snake_case     :Union[str, Any]=3_05_22    ,__snake_case     :Dict=7_68    ,__snake_case     :int=12    ,__snake_case     :int=12    ,__snake_case     :Tuple=30_72    ,__snake_case     :Union[str, Any]="gelu"    ,__snake_case     :Union[str, Any]=0.1    ,__snake_case     :Tuple=0.1    ,__snake_case     :int=5_12    ,__snake_case     :Dict=2    ,__snake_case     :str=0.02    ,__snake_case     :int=1E-12    ,__snake_case     :Optional[int]=0    ,__snake_case     :Union[str, Any]=0    ,__snake_case     :Union[str, Any]=2    ,__snake_case     :Optional[Any]=2_56    ,__snake_case     :List[Any]=10_24    ,__snake_case     :Optional[Any]=2_16    ,__snake_case     :int=10_01    ,__snake_case     :List[Any]=32    ,__snake_case     :int=50    ,__snake_case     :List[Any]="absolute"    ,__snake_case     :int=True    ,__snake_case     :Any=None    ,**__snake_case     :Optional[Any]    ,)      ->					int:
												super().__init__(
												    pad_token_id=__snake_case    ,bos_token_id=__snake_case    ,eos_token_id=__snake_case    ,**__snake_case    ,)
												a__    =  vocab_size
												a__    =  hidden_size
												a__    =  num_hidden_layers
												a__    =  num_attention_heads
												a__    =  hidden_act
												a__    =  intermediate_size
												a__    =  hidden_dropout_prob
												a__    =  attention_probs_dropout_prob
												a__    =  max_position_embeddings
												a__    =  type_vocab_size
												a__    =  initializer_range
												a__    =  layer_norm_eps
												a__    =  position_embedding_type
												a__    =  use_cache
												a__    =  classifier_dropout
												# additional properties
												a__    =  max_depth
												a__    =  max_xpath_tag_unit_embeddings
												a__    =  max_xpath_subs_unit_embeddings
												a__    =  tag_pad_id
												a__    =  subs_pad_id
												a__    =  xpath_unit_hidden_size








from math import ceil, sqrt






def 							__lowercase     (				__lowerCAmelCase							:       int = 1_0_0_0_0_0_0     ):
							a__    =  0

							for outer_width in range(3      ,					(limit // 4) + 2     ):
														if outer_width**2 > limit:
																					a__    =  max(ceil(sqrt(outer_width**2 - limit     )     )      ,					1     )
														else:
																					a__    =  1
														if (outer_width - hole_width_lower_bound) % 2:
																					hole_width_lower_bound += 1

														answer += (outer_width - hole_width_lower_bound - 2) // 2 + 1

							return answer


if __name__ == "__main__":
						print(f"""{solution() = }""")




