


"""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__						:   Optional[int]			 = logging.get_logger(__name__)

snake_case__						:   List[Any]			 = {
    '''facebook/data2vec-text-base''': '''https://huggingface.co/data2vec/resolve/main/config.json''',
}



class 						snake_case_(				a__	):
     __UpperCamelCase     =    '''data2vec-text'''






     def __init__(		self     :    Optional[Any]    , UpperCamelCase_     :    List[str]=3_0_5_2_2    , UpperCamelCase_     :    Union[str, Any]=7_6_8    , UpperCamelCase_     :    List[str]=1_2    , UpperCamelCase_     :    Optional[Any]=1_2    , UpperCamelCase_     :    Optional[int]=3_0_7_2    , UpperCamelCase_     :    List[str]="gelu"    , UpperCamelCase_     :    int=0.1    , UpperCamelCase_     :    Optional[Any]=0.1    , UpperCamelCase_     :    List[Any]=5_1_2    , UpperCamelCase_     :    int=2    , UpperCamelCase_     :    Optional[Any]=0.02    , UpperCamelCase_     :    Tuple=1E-12    , UpperCamelCase_     :    Any=1    , UpperCamelCase_     :    Optional[Any]=0    , UpperCamelCase_     :    int=2    , UpperCamelCase_     :    Optional[Any]="absolute"    , UpperCamelCase_     :    Dict=True    , UpperCamelCase_     :    List[str]=None    , **UpperCamelCase_     :    List[Any]    , ):
           super().__init__(pad_token_id=UpperCamelCase_    , bos_token_id=UpperCamelCase_    , eos_token_id=UpperCamelCase_    , **UpperCamelCase_ )

           lowerCAmelCase    :		List[Any]				=      vocab_size
           lowerCAmelCase    :		List[str]				=      hidden_size
           lowerCAmelCase    :		Optional[Any]				=      num_hidden_layers
           lowerCAmelCase    :		str				=      num_attention_heads
           lowerCAmelCase    :		Any				=      hidden_act
           lowerCAmelCase    :		List[str]				=      intermediate_size
           lowerCAmelCase    :		Optional[int]				=      hidden_dropout_prob
           lowerCAmelCase    :		List[str]				=      attention_probs_dropout_prob
           lowerCAmelCase    :		Optional[Any]				=      max_position_embeddings
           lowerCAmelCase    :		int				=      type_vocab_size
           lowerCAmelCase    :		List[Any]				=      initializer_range
           lowerCAmelCase    :		List[str]				=      layer_norm_eps
           lowerCAmelCase    :		Dict				=      position_embedding_type
           lowerCAmelCase    :		Tuple				=      use_cache
           lowerCAmelCase    :		Union[str, Any]				=      classifier_dropout



class 						snake_case_(				a__	):






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






"""simple docstring"""





def    _snake_case  (  _snake_case :	list	):

      def merge(_snake_case :	list       ,      _snake_case :	list	) -> list:

            def _merge():
                  while left and right:
                        yield (left if left[0] <= right[0] else right).pop(0	)
                  yield from left
                  yield from right

            return list(_merge()	)

      if len(_snake_case	) <= 1:
            return collection
      lowerCAmelCase    :		Union[str, Any]				=      len(_snake_case	) // 2
      return merge(merge_sort(collection[:mid]	)       ,      merge_sort(collection[mid:]	)	)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 snake_case__						:   Optional[Any]			 = input('''Enter numbers separated by a comma:\n''').strip()
 snake_case__						:   Union[str, Any]			 = [int(item) for item in user_input.split(''',''')]
 print(*merge_sort(unsorted), sep=''',''')


