




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging


__magic_name__     :     List[Any]  							=					logging.get_logger(__name__)

__magic_name__     :     Union[str, Any]  							=					{
    """uclanlp/plbart-base""": """https://huggingface.co/uclanlp/plbart-base/resolve/main/config.json""",
    # See all PLBART models at https://huggingface.co/models?filter=plbart
}





class 						SCREAMING_SNAKE_CASE__		(_a ):
     lowercase_   :			Union[str, Any]   =   "plbart"
     lowercase_   :			Optional[Any]   =   ["past_key_values"]
     lowercase_   :			Any   =   {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}
     def __init__(	self  :		str					,	__lowerCamelCase  :		Optional[int]=5_00_05					,	__lowerCamelCase  :		Union[str, Any]=10_24					,	__lowerCamelCase  :		List[Any]=6					,	__lowerCamelCase  :		str=30_72					,	__lowerCamelCase  :		Any=12					,	__lowerCamelCase  :		List[Any]=6					,	__lowerCamelCase  :		Union[str, Any]=30_72					,	__lowerCamelCase  :		Tuple=12					,	__lowerCamelCase  :		str=0.0					,	__lowerCamelCase  :		List[Any]=0.0					,	__lowerCamelCase  :		str=True					,	__lowerCamelCase  :		Any=True					,	__lowerCamelCase  :		Optional[int]="gelu"					,	__lowerCamelCase  :		List[str]=7_68					,	__lowerCamelCase  :		Union[str, Any]=0.1					,	__lowerCamelCase  :		str=0.1					,	__lowerCamelCase  :		List[str]=0.0					,	__lowerCamelCase  :		str=0.02					,	__lowerCamelCase  :		Dict=0.0					,	__lowerCamelCase  :		str=True					,	__lowerCamelCase  :		List[str]=1					,	__lowerCamelCase  :		Optional[int]=0					,	__lowerCamelCase  :		str=2					,	__lowerCamelCase  :		Dict=2					,	**__lowerCamelCase  :		int					,	):



       """simple docstring"""
       lowerCAmelCase__								=			vocab_size
       lowerCAmelCase__								=			max_position_embeddings
       lowerCAmelCase__								=			d_model
       lowerCAmelCase__								=			encoder_ffn_dim
       lowerCAmelCase__								=			encoder_layers
       lowerCAmelCase__								=			encoder_attention_heads
       lowerCAmelCase__								=			decoder_ffn_dim
       lowerCAmelCase__								=			decoder_layers
       lowerCAmelCase__								=			decoder_attention_heads
       lowerCAmelCase__								=			dropout
       lowerCAmelCase__								=			attention_dropout
       lowerCAmelCase__								=			activation_dropout
       lowerCAmelCase__								=			activation_function
       lowerCAmelCase__								=			init_std
       lowerCAmelCase__								=			encoder_layerdrop
       lowerCAmelCase__								=			decoder_layerdrop
       lowerCAmelCase__								=			classifier_dropout
       lowerCAmelCase__								=			use_cache
       lowerCAmelCase__								=			encoder_layers
       lowerCAmelCase__								=			scale_embedding  # scale factor will be sqrt(d_model) if True
       super().__init__(
           pad_token_id=__lowerCamelCase					,	bos_token_id=__lowerCamelCase					,	eos_token_id=__lowerCamelCase					,	is_encoder_decoder=__lowerCamelCase					,	forced_eos_token_id=__lowerCamelCase					,	**__lowerCamelCase					,	)





class 						SCREAMING_SNAKE_CASE__		(_a ):
     @property
     def 					A__			(	self  :		List[Any]	):



       """simple docstring"""
       return OrderedDict(
           [
               ('''input_ids''', {0: '''batch''', 1: '''sequence'''}),
               ('''attention_mask''', {0: '''batch''', 1: '''sequence'''}),
           ]	)



     @property
     def 					A__			(	self  :		Optional[Any]	):



       """simple docstring"""
       if self.use_past:
         return OrderedDict(
             [
                 ('''last_hidden_state''', {0: '''batch''', 1: '''sequence'''}),
                 ('''past_keys''', {0: '''batch''', 2: '''sequence'''}),
                 ('''encoder_last_hidden_state''', {0: '''batch''', 1: '''sequence'''}),
             ]	)
       else:
         return OrderedDict(
             [
                 ('''last_hidden_state''', {0: '''batch''', 1: '''sequence'''}),
                 ('''encoder_last_hidden_state''', {0: '''batch''', 1: '''sequence'''}),
             ]	)







from __future__ import annotations

from collections.abc import Iterator
from typing import Any





class 						SCREAMING_SNAKE_CASE__		:
     def __init__(	self  :		int					,	__lowerCamelCase  :		Any	):



       """simple docstring"""
       lowerCAmelCase__								=			data
       lowerCAmelCase__								=			None



     def __str__(	self  :		int	):



       """simple docstring"""
       return F"""{self.data}"""





class 						SCREAMING_SNAKE_CASE__		:
     def __init__(	self  :		Union[str, Any]	):



       """simple docstring"""
       lowerCAmelCase__								=			None
       lowerCAmelCase__								=			None
     def __iter__(	self  :		List[Any]	):



       """simple docstring"""
       lowerCAmelCase__								=			self.front
       while node:
         yield node.data
         lowerCAmelCase__								=			node.next
     def __len__(	self  :		int	):



       """simple docstring"""
       return len(tuple(iter(self	)	)	)
     def __str__(	self  :		Optional[int]	):



       """simple docstring"""
       return " <- ".join(str(__lowerCamelCase	) for item in self	)
     def 					A__			(	self  :		Tuple	):



       """simple docstring"""
       return len(self	) == 0
     def 					A__			(	self  :		str					,	__lowerCamelCase  :		Any	):



       """simple docstring"""
       lowerCAmelCase__								=			Node(__lowerCamelCase	)
       if self.is_empty():
         lowerCAmelCase__								=			lowerCAmelCase__								=			node
       else:
         assert isinstance(self.rear					,	__lowerCamelCase	)
         lowerCAmelCase__								=			node
         lowerCAmelCase__								=			node
     def 					A__			(	self  :		Optional[Any]	):



       """simple docstring"""
       if self.is_empty():
         raise IndexError('''dequeue from empty queue'''	)
       assert isinstance(self.front					,	__lowerCamelCase	)
       lowerCAmelCase__								=			self.front
       lowerCAmelCase__								=			self.front.next
       if self.front is None:
         lowerCAmelCase__								=			None
       return node.data



     def 					A__			(	self  :		Tuple	):



       """simple docstring"""
       lowerCAmelCase__								=			lowerCAmelCase__								=			None


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

      testmod()

