




from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any


class 							__SCREAMING_SNAKE_CASE				:
					_lowerCamelCase						    =					("""_front""", """_back""", """_len""")


					@dataclass
					class 							__SCREAMING_SNAKE_CASE				:
										_lowerCamelCase						    =					None
										_lowerCamelCase						    =					None
										_lowerCamelCase						    =					None


					class 							__SCREAMING_SNAKE_CASE				:
										_lowerCamelCase						    =					("""_cur""",)

										def __init__(							self					,			__lowercase   ):







											'''simple docstring'''




											lowerCamelCase_				:						Optional[int]				  =				cur

										def __iter__(							self   ):







											'''simple docstring'''




											return self





										def       lowercase_				(							self   ):







											'''simple docstring'''




											if self._cur is None:
												# finished iterating
												raise StopIteration
											lowerCamelCase_				:						Any				  =				self._cur.val
											lowerCamelCase_				:						Dict				  =				self._cur.next_node

											return val

					def __init__(							self					,			__lowercase = None   ):







						'''simple docstring'''




						lowerCamelCase_				:						Any				  =				None
						lowerCamelCase_				:						Any				  =				None
						lowerCamelCase_				:						int				  =				0

						if iterable is not None:
							# append every value to the deque
							for val in iterable:
								self.append(__lowercase   )

					def       lowercase_				(							self					,			__lowercase   ):







						'''simple docstring'''




						lowerCamelCase_				:						Dict				  =				self._Node(__lowercase					,			__lowercase					,			__lowercase   )
						if self.is_empty():
							# front = back
							lowerCamelCase_				:						Any				  =				node
							lowerCamelCase_				:						int				  =				1
						else:
							# connect nodes
							lowerCamelCase_				:						Optional[int]				  =				node
							lowerCamelCase_				:						Optional[Any]				  =				self._back
							lowerCamelCase_				:						str				  =				node  # assign new back to the new node

							self._len += 1

							# make sure there were no errors
							assert not self.is_empty(), "Error on appending value."

					def       lowercase_				(							self					,			__lowercase   ):







						'''simple docstring'''




						lowerCamelCase_				:						List[str]				  =				self._Node(__lowercase					,			__lowercase					,			__lowercase   )
						if self.is_empty():
							# front = back
							lowerCamelCase_				:						Optional[int]				  =				node
							lowerCamelCase_				:						Dict				  =				1
						else:
							# connect nodes
							lowerCamelCase_				:						Dict				  =				self._front
							lowerCamelCase_				:						Union[str, Any]				  =				node
							lowerCamelCase_				:						Tuple				  =				node  # assign new front to the new node

							self._len += 1

							# make sure there were no errors
							assert not self.is_empty(), "Error on appending value."

					def       lowercase_				(							self					,			__lowercase   ):







						'''simple docstring'''




						for val in iterable:
							self.append(__lowercase   )

					def       lowercase_				(							self					,			__lowercase   ):







						'''simple docstring'''




						for val in iterable:
							self.appendleft(__lowercase   )

					def       lowercase_				(							self   ):







						'''simple docstring'''




						assert not self.is_empty(), "Deque is empty."

						lowerCamelCase_				:						Tuple				  =				self._back
						lowerCamelCase_				:						Union[str, Any]				  =				self._back.prev_node  # set new back
						# drop the last node - python will deallocate memory automatically
						lowerCamelCase_				:						Tuple				  =				None

						self._len -= 1

						return topop.val

					def       lowercase_				(							self   ):







						'''simple docstring'''




						assert not self.is_empty(), "Deque is empty."

						lowerCamelCase_				:						Union[str, Any]				  =				self._front
						lowerCamelCase_				:						Tuple				  =				self._front.next_node  # set new front and drop the first node
						lowerCamelCase_				:						int				  =				None

						self._len -= 1

						return topop.val

					def       lowercase_				(							self   ):







						'''simple docstring'''




						return self._front is None

					def __len__(							self   ):







						'''simple docstring'''




						return self._len

					def __eq__(							self					,			__lowercase   ):







						'''simple docstring'''




						if not isinstance(__lowercase					,			__lowercase   ):
							return NotImplemented

						lowerCamelCase_				:						Any				  =				self._front
						lowerCamelCase_				:						Tuple				  =				other._front

						# if the length of the dequeues are not the same, they are not equal
						if len(self   ) != len(__lowercase   ):
							return False

						while me is not None and oth is not None:
							# compare every value
							if me.val != oth.val:
								return False
							lowerCamelCase_				:						Tuple				  =				me.next_node
							lowerCamelCase_				:						Any				  =				oth.next_node

						return True

					def __iter__(							self   ):







						'''simple docstring'''




						return Deque._Iterator(self._front   )





					def __repr__(							self   ):







						'''simple docstring'''




						lowerCamelCase_				:						Optional[int]				  =				[]
						lowerCamelCase_				:						str				  =				self._front
						while aux is not None:
							# append the values in a list to display
							values_list.append(aux.val   )
							lowerCamelCase_				:						Optional[int]				  =				aux.next_node

						return f"[{', '.join(repr(__lowercase   ) for val in values_list   )}]"


if __name__ == "__main__":
							import doctest

							doctest.testmod()






import copy

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


UpperCamelCase__						=		logging.get_logger(__name__)

UpperCamelCase__						=		{}


class 							__SCREAMING_SNAKE_CASE				(						lowerCamelCase    ):
					_lowerCamelCase						    =					"""fsmt_decoder"""

					def __init__(							self					,			__lowercase=0					,			__lowercase=0   ):







						'''simple docstring'''




						super().__init__()
						lowerCamelCase_				:						Tuple				  =				vocab_size
						lowerCamelCase_				:						Union[str, Any]				  =				bos_token_id


class 							__SCREAMING_SNAKE_CASE				(						lowerCamelCase    ):
					_lowerCamelCase						    =					"""fsmt"""
					_lowerCamelCase						    =					{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}

					def __init__(							self					,			__lowercase=["en", "de"]					,			__lowercase=42_024					,			__lowercase=42_024					,			__lowercase="relu"					,			__lowercase=1_024					,			__lowercase=200					,			__lowercase=1_024					,			__lowercase=4_096					,			__lowercase=12					,			__lowercase=16					,			__lowercase=0.0					,			__lowercase=4_096					,			__lowercase=12					,			__lowercase=16					,			__lowercase=0.0					,			__lowercase=0.0					,			__lowercase=0.1					,			__lowercase=0.0					,			__lowercase=0.02					,			__lowercase=2					,			__lowercase=True					,			__lowercase=True					,			__lowercase=False					,			__lowercase=5					,			__lowercase=1.0					,			__lowercase=False					,			__lowercase=True					,			__lowercase=1					,			__lowercase=0					,			__lowercase=2					,			__lowercase=2					,			**__lowercase					,			):







						'''simple docstring'''




						lowerCamelCase_				:						Any				  =				langs
						lowerCamelCase_				:						Union[str, Any]				  =				src_vocab_size
						lowerCamelCase_				:						Tuple				  =				tgt_vocab_size
						lowerCamelCase_				:						List[Any]				  =				d_model  # encoder_embed_dim and decoder_embed_dim

						lowerCamelCase_				:						str				  =				encoder_ffn_dim
						lowerCamelCase_				:						str				  =				encoder_layers
						lowerCamelCase_				:						Dict				  =				encoder_attention_heads
						lowerCamelCase_				:						Any				  =				encoder_layerdrop
						lowerCamelCase_				:						Union[str, Any]				  =				decoder_layerdrop
						lowerCamelCase_				:						Optional[int]				  =				decoder_ffn_dim
						lowerCamelCase_				:						List[str]				  =				decoder_layers
						lowerCamelCase_				:						int				  =				decoder_attention_heads
						lowerCamelCase_				:						List[str]				  =				max_position_embeddings
						lowerCamelCase_				:						int				  =				init_std  # Normal(0, this parameter)
						lowerCamelCase_				:						Optional[Any]				  =				activation_function

						lowerCamelCase_				:						Union[str, Any]				  =				DecoderConfig(vocab_size=__lowercase					,			bos_token_id=__lowercase   )
						if "decoder" in common_kwargs:
							del common_kwargs["decoder"]

						lowerCamelCase_				:						int				  =				scale_embedding  # scale factor will be sqrt(d_model) if True

						# 3 Types of Dropout
						lowerCamelCase_				:						Optional[int]				  =				attention_dropout
						lowerCamelCase_				:						Union[str, Any]				  =				activation_dropout
						lowerCamelCase_				:						Dict				  =				dropout

						lowerCamelCase_				:						Optional[int]				  =				use_cache
						super().__init__(
						    pad_token_id=__lowercase					,			bos_token_id=__lowercase					,			eos_token_id=__lowercase					,			decoder_start_token_id=__lowercase					,			is_encoder_decoder=__lowercase					,			tie_word_embeddings=__lowercase					,			forced_eos_token_id=__lowercase					,			max_length=__lowercase					,			num_beams=__lowercase					,			length_penalty=__lowercase					,			early_stopping=__lowercase					,			**__lowercase					,			)





					def       lowercase_				(							self   ):







						'''simple docstring'''




						lowerCamelCase_				:						List[Any]				  =				copy.deepcopy(self.__dict__   )
						lowerCamelCase_				:						Optional[int]				  =				self.decoder.to_dict()
						lowerCamelCase_				:						Dict				  =				self.__class__.model_type
						return output
