






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


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

lowerCamelCase     :							Union[str, Any]    ={
    '''microsoft/deberta-v2-xlarge''': '''https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/config.json''',
    '''microsoft/deberta-v2-xxlarge''': '''https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/config.json''',
    '''microsoft/deberta-v2-xlarge-mnli''': (
        '''https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/config.json'''
    ),
    '''microsoft/deberta-v2-xxlarge-mnli''': (
        '''https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/config.json'''
    ),
}





class       __a  (   A__	):
 _lowerCAmelCase	:	List[str]				=			'''deberta-v2'''







 def __init__(		self :       Dict							,       SCREAMING_SNAKE_CASE :       Union[str, Any]=12_81_00							,       SCREAMING_SNAKE_CASE :       Any=15_36							,       SCREAMING_SNAKE_CASE :       str=24							,       SCREAMING_SNAKE_CASE :       Dict=24							,       SCREAMING_SNAKE_CASE :       str=61_44							,       SCREAMING_SNAKE_CASE :       Optional[int]="gelu"							,       SCREAMING_SNAKE_CASE :       Any=0.1							,       SCREAMING_SNAKE_CASE :       Tuple=0.1							,       SCREAMING_SNAKE_CASE :       List[str]=5_12							,       SCREAMING_SNAKE_CASE :       int=0							,       SCREAMING_SNAKE_CASE :       Any=0.0_2							,       SCREAMING_SNAKE_CASE :       str=1e-7							,       SCREAMING_SNAKE_CASE :       List[str]=False							,       SCREAMING_SNAKE_CASE :       Optional[Any]=-1							,       SCREAMING_SNAKE_CASE :       Optional[int]=0							,       SCREAMING_SNAKE_CASE :       str=True							,       SCREAMING_SNAKE_CASE :       Tuple=None							,       SCREAMING_SNAKE_CASE :       Optional[Any]=0							,       SCREAMING_SNAKE_CASE :       str="gelu"							,       **SCREAMING_SNAKE_CASE :       int							,       ):


      '''simple docstring'''






      super().__init__(**SCREAMING_SNAKE_CASE						)

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

      # Backwards compatibility
      if type(SCREAMING_SNAKE_CASE						) == str:
           UpperCamelCase__      :       Any	    =  [x.strip() for x in pos_att_type.lower().split("|"						)]

      UpperCamelCase__      :       Optional[Any]	    =  pos_att_type
      UpperCamelCase__      :       Dict	    =  vocab_size
      UpperCamelCase__      :       Optional[Any]	    =  layer_norm_eps

      UpperCamelCase__      :       Optional[Any]	    =  kwargs.get("pooler_hidden_size"							,       SCREAMING_SNAKE_CASE						)
      UpperCamelCase__      :       str	    =  pooler_dropout
      UpperCamelCase__      :       Tuple	    =  pooler_hidden_act







class       __a  (   A__	):







 @property
 def  __lowercase (		self :       Tuple						):


      '''simple docstring'''






      if self.task == "multiple-choice":
           UpperCamelCase__      :       List[Any]	    =  {0: "batch", 1: "choice", 2: "sequence"}
      else:
           UpperCamelCase__      :       Dict	    =  {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  __lowercase (		self :       List[str]						):


      '''simple docstring'''






      return 12







 def  __lowercase (		self :       Optional[Any]							,       SCREAMING_SNAKE_CASE :       Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"]							,       SCREAMING_SNAKE_CASE :       int = -1							,       SCREAMING_SNAKE_CASE :       int = -1							,       SCREAMING_SNAKE_CASE :       int = -1							,       SCREAMING_SNAKE_CASE :       bool = False							,       SCREAMING_SNAKE_CASE :       Optional["TensorType"] = None							,       SCREAMING_SNAKE_CASE :       int = 3							,       SCREAMING_SNAKE_CASE :       int = 40							,       SCREAMING_SNAKE_CASE :       int = 40							,       SCREAMING_SNAKE_CASE :       "PreTrainedTokenizerBase" = None							,       ):


      '''simple docstring'''






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







def 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase      )			->     int:
     assert isinstance(__lowerCAmelCase ,   __lowerCAmelCase      ), f'The input value of [n={number}] is not an integer'

     if number == 1:
          return 2
     elif number < 1:
          UpperCamelCase__      :       List[Any]	    =  f'The input value of [n={number}] has to be > 0'
          raise ValueError(__lowerCAmelCase      )
     else:
          UpperCamelCase__      :       Optional[Any]	    =  sylvester(number - 1      )
          UpperCamelCase__      :       str	    =  num - 1
          UpperCamelCase__      :       int	    =  num
          return lower * upper + 1


if __name__ == "__main__":
 print(F"""The 8th number in Sylvester's sequence: {sylvester(8)}""")