


from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

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


if TYPE_CHECKING:
  from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


a				:							int					=			logging.get_logger(__name__)

a				:							str					=			{
    'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/config.json',
    'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/config.json',
    'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/config.json',
    'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/config.json',
    'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/config.json',
    'microsoft/deberta-xlarge-mnli': 'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/config.json',
}

class      lowerCamelCase	(  SCREAMING_SNAKE_CASE     ):
       _UpperCamelCase    		=      """deberta"""

       def __init__(			self	,						a__=5_02_65	,						a__=7_68	,						a__=12	,						a__=12	,						a__=30_72	,						a__="gelu"	,						a__=0.1	,						a__=0.1	,						a__=5_12	,						a__=0	,						a__=0.02	,						a__=1e-7	,						a__=False	,						a__=-1	,						a__=0	,						a__=True	,						a__=None	,						a__=0	,						a__="gelu"	,						**a__	,						):






        '''simple docstring'''






        super().__init__(**a__					)

        snake_case   : Optional[Any]	  =      hidden_size
        snake_case   : Optional[int]	  =      num_hidden_layers
        snake_case   : str	  =      num_attention_heads
        snake_case   : Any	  =      intermediate_size
        snake_case   : Union[str, Any]	  =      hidden_act
        snake_case   : List[str]	  =      hidden_dropout_prob
        snake_case   : Optional[int]	  =      attention_probs_dropout_prob
        snake_case   : List[Any]	  =      max_position_embeddings
        snake_case   : Any	  =      type_vocab_size
        snake_case   : List[Any]	  =      initializer_range
        snake_case   : List[str]	  =      relative_attention
        snake_case   : Optional[int]	  =      max_relative_positions
        snake_case   : Any	  =      pad_token_id
        snake_case   : int	  =      position_biased_input

        # Backwards compatibility
        if type(a__					) == str:
         snake_case   : Dict	  =      [x.strip() for x in pos_att_type.lower().split('''|'''					)]

        snake_case   : Union[str, Any]	  =      pos_att_type
        snake_case   : List[str]	  =      vocab_size
        snake_case   : Optional[int]	  =      layer_norm_eps

        snake_case   : List[Any]	  =      kwargs.get('''pooler_hidden_size'''	,						a__					)
        snake_case   : Optional[Any]	  =      pooler_dropout
        snake_case   : List[str]	  =      pooler_hidden_act







class      lowerCamelCase	(  SCREAMING_SNAKE_CASE     ):

       @property
       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        if self.task == "multiple-choice":
         snake_case   : Optional[int]	  =      {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
        else:
         snake_case   : Optional[int]	  =      {0: '''batch''', 1: '''sequence'''}
        if self._config.type_vocab_size > 0:
         return OrderedDict(
             [('''input_ids''', dynamic_axis), ('''attention_mask''', dynamic_axis), ('''token_type_ids''', dynamic_axis)]					)
        else:
         return OrderedDict([('''input_ids''', dynamic_axis), ('''attention_mask''', dynamic_axis)]					)

       @property
       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        return 12



       def 				UpperCAmelCase				(			self	,						a__	,						a__ = -1	,						a__ = -1	,						a__ = -1	,						a__ = False	,						a__ = None	,						a__ = 3	,						a__ = 40	,						a__ = 40	,						a__ = None	,						):






        '''simple docstring'''






        snake_case   : Any	  =      super().generate_dummy_inputs(preprocessor=a__	,						framework=a__					)
        if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
         del dummy_inputs["token_type_ids"]
        return dummy_inputs










from itertools import permutations






def    _UpperCAmelCase	(   )		->str:


 '''simple docstring'''
 snake_case   : Any	  =      list(map(''''''.join ,     permutations('''0123456789'''       )       )       )
 return result[999999]


if __name__ == "__main__":
  print(solution())






