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


A__           =							logging.get_logger(__name__)

A__           =							{
    """google/pegasus-large""": """https://huggingface.co/google/pegasus-large/resolve/main/config.json""",
    # See all PEGASUS models at https://huggingface.co/models?filter=pegasus
}
class   _lowerCAmelCase		(     __SCREAMING_SNAKE_CASE				):
							_UpperCAmelCase						    =     'pegasus'
							_UpperCAmelCase						    =     ['past_key_values']
							_UpperCAmelCase						    =     {'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}







							def __init__(				self     :    List[Any]	,					__snake_case     :    List[Any]=50265	,					__snake_case     :    Any=1024	,					__snake_case     :    Tuple=12	,					__snake_case     :    Union[str, Any]=4096	,					__snake_case     :    List[str]=16	,					__snake_case     :    Union[str, Any]=12	,					__snake_case     :    List[Any]=4096	,					__snake_case     :    Any=16	,					__snake_case     :    Optional[int]=0.0	,					__snake_case     :    List[str]=0.0	,					__snake_case     :    Dict=True	,					__snake_case     :    Union[str, Any]=True	,					__snake_case     :    Tuple="gelu"	,					__snake_case     :    Union[str, Any]=1024	,					__snake_case     :    List[Any]=0.1	,					__snake_case     :    Optional[Any]=0.0	,					__snake_case     :    Any=0.0	,					__snake_case     :    int=0.0_2	,					__snake_case     :    Optional[int]=0	,					__snake_case     :    Union[str, Any]=False	,					__snake_case     :    Any=0	,					__snake_case     :    Any=1	,					__snake_case     :    List[Any]=1	,					**__snake_case     :    Tuple	,					):
										lowerCamelCase						:Any						  =     vocab_size
										lowerCamelCase						:Tuple						  =     max_position_embeddings
										lowerCamelCase						:Optional[int]						  =     d_model
										lowerCamelCase						:int						  =     encoder_ffn_dim
										lowerCamelCase						:Union[str, Any]						  =     encoder_layers
										lowerCamelCase						:Tuple						  =     encoder_attention_heads
										lowerCamelCase						:List[str]						  =     decoder_ffn_dim
										lowerCamelCase						:Dict						  =     decoder_layers
										lowerCamelCase						:Tuple						  =     decoder_attention_heads
										lowerCamelCase						:List[Any]						  =     dropout
										lowerCamelCase						:List[Any]						  =     attention_dropout
										lowerCamelCase						:int						  =     activation_dropout
										lowerCamelCase						:str						  =     activation_function
										lowerCamelCase						:str						  =     init_std
										lowerCamelCase						:Any						  =     encoder_layerdrop
										lowerCamelCase						:Dict						  =     decoder_layerdrop
										lowerCamelCase						:Union[str, Any]						  =     use_cache
										lowerCamelCase						:int						  =     encoder_layers
										lowerCamelCase						:Optional[int]						  =     scale_embedding  # scale factor will be sqrt(d_model) if True
										super().__init__(
										    pad_token_id=__snake_case	,					eos_token_id=__snake_case	,					is_encoder_decoder=__snake_case	,					decoder_start_token_id=__snake_case	,					forced_eos_token_id=__snake_case	,					**__snake_case	,					)







							@property
							def 				snake_case  (				self     :    Optional[Any]		):
										return self.encoder_attention_heads







							@property
							def 				snake_case  (				self     :    Union[str, Any]		):
										return self.d_model




def  _lowerCamelCase					(   a_				: list):

			if not grid or not grid[0]:
						raise TypeError('''The grid does not contain the appropriate information''')

			for cell_n in range(1						,			len(grid[0])):
						grid[0][cell_n] += grid[0][cell_n - 1]
			lowerCamelCase						:Any						  =     grid[0]

			for row_n in range(1						,			len(a_)):
						lowerCamelCase						:List[str]						  =     grid[row_n]
						lowerCamelCase						:Union[str, Any]						  =     fill_row(a_						,			a_)
						lowerCamelCase						:List[Any]						  =     grid[row_n]

			return grid[-1][-1]





def  _lowerCamelCase					(   a_				: list						,			a_				: list):
			current_row[0] += row_above[0]
			for cell_n in range(1						,			len(a_)):
						current_row[cell_n] += min(current_row[cell_n - 1]						,			row_above[cell_n])

			return current_row


if __name__ == "__main__":
			import doctest

			doctest.testmod()



