





from typing import Callable, Optional, Union

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


_UpperCAmelCase										=					logging.get_logger(__name__)

_UpperCAmelCase										=					{
    'microsoft/prophetnet-large-uncased': (
        'https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json'
    ),
}



class 				_UpperCamelCase       (						lowerCAmelCase_  ):
       _UpperCamelCase					:       Dict       = """prophetnet"""
       _UpperCamelCase					:       str       = ["""past_key_values"""]
       _UpperCamelCase					:       Optional[int]       = {
           """num_attention_heads""": """num_encoder_attention_heads""",
       }

       def __init__(		self:			int       , _SCREAMING_SNAKE_CASE:			Optional[float] = 0.1       , _SCREAMING_SNAKE_CASE:			Optional[Union[str, Callable]] = "gelu"       , _SCREAMING_SNAKE_CASE:			Optional[int] = 30522       , _SCREAMING_SNAKE_CASE:			Optional[int] = 1024       , _SCREAMING_SNAKE_CASE:			Optional[int] = 4096       , _SCREAMING_SNAKE_CASE:			Optional[int] = 12       , _SCREAMING_SNAKE_CASE:			Optional[int] = 16       , _SCREAMING_SNAKE_CASE:			Optional[int] = 4096       , _SCREAMING_SNAKE_CASE:			Optional[int] = 12       , _SCREAMING_SNAKE_CASE:			Optional[int] = 16       , _SCREAMING_SNAKE_CASE:			Optional[float] = 0.1       , _SCREAMING_SNAKE_CASE:			Optional[float] = 0.1       , _SCREAMING_SNAKE_CASE:			Optional[int] = 512       , _SCREAMING_SNAKE_CASE:			Optional[float] = 0.02       , _SCREAMING_SNAKE_CASE:			Optional[bool] = True       , _SCREAMING_SNAKE_CASE:			Optional[bool] = True       , _SCREAMING_SNAKE_CASE:			Optional[int] = 0       , _SCREAMING_SNAKE_CASE:			Optional[int] = 2       , _SCREAMING_SNAKE_CASE:			Optional[int] = 32       , _SCREAMING_SNAKE_CASE:			Optional[int] = 128       , _SCREAMING_SNAKE_CASE:			Optional[bool] = False       , _SCREAMING_SNAKE_CASE:			Optional[float] = 0.0       , _SCREAMING_SNAKE_CASE:			Optional[bool] = True       , _SCREAMING_SNAKE_CASE:			Optional[int] = 0       , _SCREAMING_SNAKE_CASE:			Optional[int] = 1       , _SCREAMING_SNAKE_CASE:			Optional[int] = 2       , **_SCREAMING_SNAKE_CASE:			Union[str, Any]       , )							->			List[Any]:




              """simple docstring"""


              UpperCamelCase_ 							=	vocab_size
              UpperCamelCase_ 							=	hidden_size
              UpperCamelCase_ 							=	encoder_ffn_dim
              UpperCamelCase_ 							=	num_encoder_layers
              UpperCamelCase_ 							=	num_encoder_attention_heads
              UpperCamelCase_ 							=	decoder_ffn_dim
              UpperCamelCase_ 							=	num_decoder_layers
              UpperCamelCase_ 							=	num_decoder_attention_heads
              UpperCamelCase_ 							=	max_position_embeddings
              UpperCamelCase_ 							=	init_std  # Normal(0, this parameter)
              UpperCamelCase_ 							=	activation_function

              # parameters for prophetnet
              UpperCamelCase_ 							=	ngram
              UpperCamelCase_ 							=	num_buckets
              UpperCamelCase_ 							=	relative_max_distance
              UpperCamelCase_ 							=	disable_ngram_loss
              UpperCamelCase_ 							=	eps

              # 3 Types of Dropout
              UpperCamelCase_ 							=	attention_dropout
              UpperCamelCase_ 							=	activation_dropout
              UpperCamelCase_ 							=	dropout

              UpperCamelCase_ 							=	use_cache

              super().__init__(
                  pad_token_id=_SCREAMING_SNAKE_CASE       , bos_token_id=_SCREAMING_SNAKE_CASE       , eos_token_id=_SCREAMING_SNAKE_CASE       , is_encoder_decoder=_SCREAMING_SNAKE_CASE       , add_cross_attention=_SCREAMING_SNAKE_CASE       , decoder_start_token_id=_SCREAMING_SNAKE_CASE       , **_SCREAMING_SNAKE_CASE       , )

       @property
       def lowercase			(		self:			int		)							->			int:




              """simple docstring"""


              return self.num_encoder_layers + self.num_decoder_layers



       @num_hidden_layers.setter
       def lowercase			(		self:			str       , _SCREAMING_SNAKE_CASE:			Tuple		)							->			Tuple:




              """simple docstring"""


              raise NotImplementedError(
                  "This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and"
                  " `num_decoder_layers`."		)






"""simple docstring"""







def 	lowerCAmelCase__      (  lowerCamelCase__      )			->				List[str]:
							A    =       [701, 301, 132, 57, 23, 10, 4, 1]
							for gap in gaps:
														for i in range(lowerCamelCase__					,   len(lowerCamelCase__      )      ):
																					A    =       collection[i]
																					A    =       i
																					while j >= gap and collection[j - gap] > insert_value:
																												A    =       collection[j - gap]
																												j -= gap
																					if j != i:
																												A    =       insert_value
							return collection


if __name__ == "__main__":
							from doctest import testmod

							testmod()
							A     =      input('Enter numbers separated by a comma:\n').strip()
							A     =      [int(item) for item in user_input.split(',')]
							print(shell_sort(unsorted))



