


from __future__ import annotations

from typing import Any





class   __a      (   __UpperCamelCase				):
 pass





class   __a      :
 def __init__(       self    ,			lowerCAmelCase__			) ->    None:




        '''simple docstring'''
        lowercase__:       Any        =       data
        lowercase__:       Node | None        =       None
 def __iter__(       self			) ->    Union[str, Any]:




        '''simple docstring'''
        lowercase__:       Tuple        =       self
        lowercase__:       Tuple        =       []
        while node:
               if node in visited:
                      raise ContainsLoopError
               visited.append(lowerCAmelCase__			)
               yield node.data
               lowercase__:       Optional[int]        =       node.next_node
 @property
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    bool:




        '''simple docstring'''
        try:
               list(self			)
               return False
        except ContainsLoopError:
               return True


if __name__ == "__main__":
 __lowerCAmelCase			=							Node(1)
 __lowerCAmelCase			=							Node(2)
 __lowerCAmelCase			=							Node(3)
 __lowerCAmelCase			=							Node(4)
 print(root_node.has_loop)  # False
 __lowerCAmelCase			=							root_node.next_node
 print(root_node.has_loop)  # True

 __lowerCAmelCase			=							Node(5)
 __lowerCAmelCase			=							Node(6)
 __lowerCAmelCase			=							Node(5)
 __lowerCAmelCase			=							Node(6)
 print(root_node.has_loop)  # False

 __lowerCAmelCase			=							Node(1)
 print(root_node.has_loop)  # False





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


__lowerCAmelCase			=							logging.get_logger(__name__)

__lowerCAmelCase			=							{
    '''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   __a      (   __UpperCamelCase				):
 __lowercase			:							Any       					=			'pegasus'
 __lowercase			:							Union[str, Any]       					=			['past_key_values']
 __lowercase			:							Any       					=			{'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}
 def __init__(       self    ,			lowerCAmelCase__=50_265    ,			lowerCAmelCase__=1_024    ,			lowerCAmelCase__=12    ,			lowerCAmelCase__=4_096    ,			lowerCAmelCase__=16    ,			lowerCAmelCase__=12    ,			lowerCAmelCase__=4_096    ,			lowerCAmelCase__=16    ,			lowerCAmelCase__=0.0    ,			lowerCAmelCase__=0.0    ,			lowerCAmelCase__=True    ,			lowerCAmelCase__=True    ,			lowerCAmelCase__="gelu"    ,			lowerCAmelCase__=1_024    ,			lowerCAmelCase__=0.1    ,			lowerCAmelCase__=0.0    ,			lowerCAmelCase__=0.0    ,			lowerCAmelCase__=0.0_2    ,			lowerCAmelCase__=0    ,			lowerCAmelCase__=False    ,			lowerCAmelCase__=0    ,			lowerCAmelCase__=1    ,			lowerCAmelCase__=1    ,			**lowerCAmelCase__    ,			) ->    Union[str, Any]:




        '''simple docstring'''
        lowercase__:       int        =       vocab_size
        lowercase__:       Optional[int]        =       max_position_embeddings
        lowercase__:       List[str]        =       d_model
        lowercase__:       Optional[Any]        =       encoder_ffn_dim
        lowercase__:       Optional[Any]        =       encoder_layers
        lowercase__:       Union[str, Any]        =       encoder_attention_heads
        lowercase__:       Optional[int]        =       decoder_ffn_dim
        lowercase__:       Tuple        =       decoder_layers
        lowercase__:       Union[str, Any]        =       decoder_attention_heads
        lowercase__:       Dict        =       dropout
        lowercase__:       List[str]        =       attention_dropout
        lowercase__:       List[str]        =       activation_dropout
        lowercase__:       Optional[int]        =       activation_function
        lowercase__:       Dict        =       init_std
        lowercase__:       Optional[Any]        =       encoder_layerdrop
        lowercase__:       List[str]        =       decoder_layerdrop
        lowercase__:       Union[str, Any]        =       use_cache
        lowercase__:       Any        =       encoder_layers
        lowercase__:       List[str]        =       scale_embedding  # scale factor will be sqrt(d_model) if True
        super().__init__(
            pad_token_id=lowerCAmelCase__    ,			eos_token_id=lowerCAmelCase__    ,			is_encoder_decoder=lowerCAmelCase__    ,			decoder_start_token_id=lowerCAmelCase__    ,			forced_eos_token_id=lowerCAmelCase__    ,			**lowerCAmelCase__    ,			)
 @property
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    int:




        '''simple docstring'''
        return self.encoder_attention_heads
 @property
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    int:




        '''simple docstring'''
        return self.d_model


