


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


__lowerCAmelCase			=							logging.get_logger(__name__)

__lowerCAmelCase			=							{
    '''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   __a      (   __UpperCamelCase				):
 __lowercase			:							str       					=			'markuplm'
 def __init__(       self    ,			lowerCAmelCase__=30_522    ,			lowerCAmelCase__=768    ,			lowerCAmelCase__=12    ,			lowerCAmelCase__=12    ,			lowerCAmelCase__=3_072    ,			lowerCAmelCase__="gelu"    ,			lowerCAmelCase__=0.1    ,			lowerCAmelCase__=0.1    ,			lowerCAmelCase__=512    ,			lowerCAmelCase__=2    ,			lowerCAmelCase__=0.0_2    ,			lowerCAmelCase__=1E-12    ,			lowerCAmelCase__=0    ,			lowerCAmelCase__=0    ,			lowerCAmelCase__=2    ,			lowerCAmelCase__=256    ,			lowerCAmelCase__=1_024    ,			lowerCAmelCase__=216    ,			lowerCAmelCase__=1_001    ,			lowerCAmelCase__=32    ,			lowerCAmelCase__=50    ,			lowerCAmelCase__="absolute"    ,			lowerCAmelCase__=True    ,			lowerCAmelCase__=None    ,			**lowerCAmelCase__    ,			) ->    List[Any]:




        '''simple docstring'''
        super().__init__(
            pad_token_id=lowerCAmelCase__    ,			bos_token_id=lowerCAmelCase__    ,			eos_token_id=lowerCAmelCase__    ,			**lowerCAmelCase__    ,			)
        lowercase__:       List[str]        =       vocab_size
        lowercase__:       str        =       hidden_size
        lowercase__:       Optional[int]        =       num_hidden_layers
        lowercase__:       List[Any]        =       num_attention_heads
        lowercase__:       Any        =       hidden_act
        lowercase__:       int        =       intermediate_size
        lowercase__:       List[Any]        =       hidden_dropout_prob
        lowercase__:       Any        =       attention_probs_dropout_prob
        lowercase__:       Dict        =       max_position_embeddings
        lowercase__:       List[Any]        =       type_vocab_size
        lowercase__:       int        =       initializer_range
        lowercase__:       int        =       layer_norm_eps
        lowercase__:       Union[str, Any]        =       position_embedding_type
        lowercase__:       Dict        =       use_cache
        lowercase__:       Optional[int]        =       classifier_dropout
        # additional properties
        lowercase__:       Any        =       max_depth
        lowercase__:       List[Any]        =       max_xpath_tag_unit_embeddings
        lowercase__:       int        =       max_xpath_subs_unit_embeddings
        lowercase__:       Union[str, Any]        =       tag_pad_id
        lowercase__:       Any        =       subs_pad_id
        lowercase__:       Optional[Any]        =       xpath_unit_hidden_size






from __future__ import annotations




def        snake_case_					(  snake_case      ,							snake_case					)  ->    list[int]:
       lowercase__:       Tuple        =       0
       lowercase__:       str        =       len(snake_case					) - 1

       while i < j:
              if nums[i] + nums[j] == target:
                     return [i, j]
              elif nums[i] + nums[j] < target:
                     lowercase__:       str        =       i + 1
              else:
                     lowercase__:       Dict        =       j - 1

       return []


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(F'''{two_pointer([2, 7, 11, 15], 9) = }''')


