


'''simple docstring'''



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


__UpperCAmelCase    :Optional[Any]				       =     logging.get_logger(__name__)

__UpperCAmelCase    :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 ):


     """simple docstring"""






     SCREAMING_SNAKE_CASE :				List[str]							     =     "deberta-v2"

     def __init__(       self  :	List[str]							,				snake_case  :	List[str]=12_8100							,				snake_case  :	str=1536							,				snake_case  :	int=24							,				snake_case  :	Union[str, Any]=24							,				snake_case  :	Union[str, Any]=6144							,				snake_case  :	Optional[Any]="gelu"							,				snake_case  :	int=0.1							,				snake_case  :	Tuple=0.1							,				snake_case  :	str=512							,				snake_case  :	Optional[int]=0							,				snake_case  :	int=0.02							,				snake_case  :	List[Any]=1E-7							,				snake_case  :	List[str]=False							,				snake_case  :	Union[str, Any]=-1							,				snake_case  :	Any=0							,				snake_case  :	Tuple=True							,				snake_case  :	Optional[int]=None							,				snake_case  :	str=0							,				snake_case  :	str="gelu"							,				**snake_case  :	Any							,				)		->							Optional[int]:
          super().__init__(**snake_case    )

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

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

          __UpperCAmelCase			:				Tuple													=    pos_att_type
          __UpperCAmelCase			:				List[str]													=    vocab_size
          __UpperCAmelCase			:				str													=    layer_norm_eps

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



class 			a       (	_a ):


     """simple docstring"""






     @property
     def 				lowerCamelCase__				(       self  :	str    )		->							Mapping[str, Mapping[int, str]]:
          if self.task == "multiple-choice":
               __UpperCAmelCase			:				str													=    {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
          else:
               __UpperCAmelCase			:				Any													=    {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 				lowerCamelCase__				(       self  :	Optional[int]    )		->							int:
          return 12






     def 				lowerCamelCase__				(       self  :	Optional[Any]							,				snake_case  :	Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"]							,				snake_case  :	int = -1							,				snake_case  :	int = -1							,				snake_case  :	int = -1							,				snake_case  :	bool = False							,				snake_case  :	Optional["TensorType"] = None							,				snake_case  :	int = 3							,				snake_case  :	int = 40							,				snake_case  :	int = 40							,				snake_case  :	"PreTrainedTokenizerBase" = None							,				)		->							Mapping[str, Any]:
          __UpperCAmelCase			:				Tuple													=    super().generate_dummy_inputs(preprocessor=snake_case							,				framework=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



'''simple docstring'''



def 			_a			(		_lowercase      :			List[str]						):





     '''simple docstring'''






     __UpperCAmelCase			:				int													=    len(_lowercase						)
     while cur > 1:
          # Find the maximum number in arr
          __UpperCAmelCase			:				Union[str, Any]													=    arr.index(max(arr[0:cur]						)						)
          # Reverse from 0 to mi
          __UpperCAmelCase			:				Any													=    arr[mi::-1] + arr[mi + 1 : len(_lowercase						)]
          # Reverse whole list
          __UpperCAmelCase			:				List[str]													=    arr[cur - 1 :: -1] + arr[cur : len(_lowercase						)]
          cur -= 1
     return arr


if __name__ == "__main__":
      __UpperCAmelCase    :Any				       =     input("Enter numbers separated by a comma:\n").strip()
      __UpperCAmelCase    :Optional[int]				       =     [int(item) for item in user_input.split(",")]
      print(pancake_sort(unsorted))