





"""simple docstring"""



from typing import Callable, Optional, Union

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


a_				=    logging.get_logger(__name__)

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






class 	__snake_case      (	SCREAMING_SNAKE_CASE__  ):





 """simple docstring"""


 _lowerCamelCase				 =  """prophetnet"""
 _lowerCamelCase				 =  ["""past_key_values"""]
 _lowerCamelCase				 =  {
     """num_attention_heads""": """num_encoder_attention_heads""",
 }

 def __init__(					self      ,		__lowerCamelCase = 0.1      ,		__lowerCamelCase = "gelu"      ,		__lowerCamelCase = 3_0522      ,		__lowerCamelCase = 1024      ,		__lowerCamelCase = 4096      ,		__lowerCamelCase = 12      ,		__lowerCamelCase = 16      ,		__lowerCamelCase = 4096      ,		__lowerCamelCase = 12      ,		__lowerCamelCase = 16      ,		__lowerCamelCase = 0.1      ,		__lowerCamelCase = 0.1      ,		__lowerCamelCase = 512      ,		__lowerCamelCase = 0.0_2      ,		__lowerCamelCase = True      ,		__lowerCamelCase = True      ,		__lowerCamelCase = 0      ,		__lowerCamelCase = 2      ,		__lowerCamelCase = 32      ,		__lowerCamelCase = 128      ,		__lowerCamelCase = False      ,		__lowerCamelCase = 0.0      ,		__lowerCamelCase = True      ,		__lowerCamelCase = 0      ,		__lowerCamelCase = 1      ,		__lowerCamelCase = 2      ,		**__lowerCamelCase      ,		):



     '''simple docstring'''




     __A					:		int						=  vocab_size
     __A					:		str						=  hidden_size
     __A					:		Union[str, Any]						=  encoder_ffn_dim
     __A					:		Union[str, Any]						=  num_encoder_layers
     __A					:		List[Any]						=  num_encoder_attention_heads
     __A					:		str						=  decoder_ffn_dim
     __A					:		str						=  num_decoder_layers
     __A					:		List[str]						=  num_decoder_attention_heads
     __A					:		str						=  max_position_embeddings
     __A					:		str						=  init_std  # Normal(0, this parameter)
     __A					:		Tuple						=  activation_function

     # parameters for prophetnet
     __A					:		Tuple						=  ngram
     __A					:		List[Any]						=  num_buckets
     __A					:		List[str]						=  relative_max_distance
     __A					:		List[Any]						=  disable_ngram_loss
     __A					:		Tuple						=  eps

     # 3 Types of Dropout
     __A					:		List[str]						=  attention_dropout
     __A					:		Any						=  activation_dropout
     __A					:		Dict						=  dropout

     __A					:		List[str]						=  use_cache

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

 @property
 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     return self.num_encoder_layers + self.num_decoder_layers







 @num_hidden_layers.setter
 def       UpperCamelCase__(					self      ,		__lowerCamelCase						):



     '''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 	__lowercase  (     snake_case_						:						list		)     ->list:



    '''simple docstring'''







    for insert_index, insert_value in enumerate(collection[1:]		):
        __A					:		Any						=  insert_index
        while insert_index >= 0 and insert_value < collection[insert_index]:
            __A					:		List[Any]						=  collection[insert_index]
            insert_index -= 1
        if insert_index != temp_index:
            __A					:		str						=  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(f'''{insertion_sort(unsorted) = }''')




