


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


snake_case				:    str       				=     logging.get_logger(__name__)

snake_case				:    Optional[int]       				=     {
    '''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  (      _snake_case							):
 SCREAMING_SNAKE_CASE__      =       'markuplm'




 def __init__(		self					,  _lowerCamelCase=3_0522					,  _lowerCamelCase=768					,  _lowerCamelCase=12					,  _lowerCamelCase=12					,  _lowerCamelCase=3072					,  _lowerCamelCase="gelu"					,  _lowerCamelCase=0.1					,  _lowerCamelCase=0.1					,  _lowerCamelCase=512					,  _lowerCamelCase=2					,  _lowerCamelCase=0.02					,  _lowerCamelCase=1e-12					,  _lowerCamelCase=0					,  _lowerCamelCase=0					,  _lowerCamelCase=2					,  _lowerCamelCase=256					,  _lowerCamelCase=1024					,  _lowerCamelCase=216					,  _lowerCamelCase=1001					,  _lowerCamelCase=32					,  _lowerCamelCase=50					,  _lowerCamelCase="absolute"					,  _lowerCamelCase=True					,  _lowerCamelCase=None					,  **_lowerCamelCase					,  ):
       super().__init__(
           pad_token_id=_lowerCamelCase					,  bos_token_id=_lowerCamelCase					,  eos_token_id=_lowerCamelCase					,  **_lowerCamelCase					,  )
       a						:Optional[Any] 							=       vocab_size
       a						:int 							=       hidden_size
       a						:List[Any] 							=       num_hidden_layers
       a						:str 							=       num_attention_heads
       a						:Tuple 							=       hidden_act
       a						:Any 							=       intermediate_size
       a						:Optional[int] 							=       hidden_dropout_prob
       a						:Optional[Any] 							=       attention_probs_dropout_prob
       a						:Any 							=       max_position_embeddings
       a						:Union[str, Any] 							=       type_vocab_size
       a						:Optional[int] 							=       initializer_range
       a						:Any 							=       layer_norm_eps
       a						:Any 							=       position_embedding_type
       a						:Optional[Any] 							=       use_cache
       a						:Optional[Any] 							=       classifier_dropout
       # additional properties
       a						:Optional[int] 							=       max_depth
       a						:int 							=       max_xpath_tag_unit_embeddings
       a						:Optional[Any] 							=       max_xpath_subs_unit_embeddings
       a						:Union[str, Any] 							=       tag_pad_id
       a						:str 							=       subs_pad_id
       a						:List[str] 							=       xpath_unit_hidden_size









'''simple docstring'''
# Algorithm for the pigeonhole sorting







def 					a__       (					lowerCAmelCase__						)    ->	Optional[Any]:
    UpperCAmelCase__			:		Any													=				min(lowerCAmelCase__						)  # min() finds the minimum value
    UpperCAmelCase__			:		Optional[int]													=				max(lowerCAmelCase__						)  # max() finds the maximum value

    UpperCAmelCase__			:		int													=				max_val - min_val + 1  # size is difference of max and min values plus one

    # list of pigeonholes of size equal to the variable size
    UpperCAmelCase__			:		Any													=				[0] * size

    # Populate the pigeonholes.
    for x in a:
        assert isinstance(lowerCAmelCase__  ,					lowerCAmelCase__						), "integers only please"
        holes[x - min_val] += 1

    # Putting the elements back into the array in an order.
    UpperCAmelCase__			:		Optional[int]													=				0
    for count in range(lowerCAmelCase__						):
        while holes[count] > 0:
            holes[count] -= 1
            UpperCAmelCase__			:		Dict													=				count + min_val
            i += 1





def 					a__       (					)    ->	Union[str, Any]:
    UpperCAmelCase__			:		List[str]													=				[8, 3, 2, 7, 4, 6, 8]
    pigeonhole_sort(lowerCAmelCase__						)
    print('''Sorted order is:'''  ,					''' '''.join(lowerCAmelCase__						)						)


if __name__ == "__main__":
  main()
