

"""simple docstring"""





from typing import Mapping

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


_SCREAMING_SNAKE_CASE       :  List[str]        = logging.get_logger(__name__)

class     __a   (      snake_case__    ):

			"""simple docstring"""

			SCREAMING_SNAKE_CASE_						     =						'mt5'
			SCREAMING_SNAKE_CASE_						     =						['past_key_values']






			def __init__(							self     :					Union[str, Any]						,  lowercase_     :					Union[str, Any]=25_0112						,  lowercase_     :					int=512						,  lowercase_     :					Optional[Any]=64						,  lowercase_     :					str=1024						,  lowercase_     :					Optional[Any]=8						,  lowercase_     :					Dict=None						,  lowercase_     :					int=6						,  lowercase_     :					Optional[int]=32						,  lowercase_     :					List[str]=128						,  lowercase_     :					Any=0.1						,  lowercase_     :					Dict=1e-6						,  lowercase_     :					Optional[Any]=1.0						,  lowercase_     :					Union[str, Any]="gated-gelu"						,  lowercase_     :					str=True						,  lowercase_     :					Dict=True						,  lowercase_     :					Tuple="T5Tokenizer"						,  lowercase_     :					str=False						,  lowercase_     :					Any=0						,  lowercase_     :					int=1						,  lowercase_     :					str=0						,  **lowercase_     :					Tuple						,  ):
								super().__init__(
								    is_encoder_decoder=lowercase_						,  tokenizer_class=lowercase_						,  tie_word_embeddings=lowercase_						,  pad_token_id=lowercase_						,  eos_token_id=lowercase_						,  decoder_start_token_id=lowercase_						,  **lowercase_						,  )
								UpperCamelCase__		:    Optional[Any]         =vocab_size
								UpperCamelCase__		:    Union[str, Any]         =d_model
								UpperCamelCase__		:    List[Any]         =d_kv
								UpperCamelCase__		:    str         =d_ff
								UpperCamelCase__		:    Optional[Any]         =num_layers
								UpperCamelCase__		:    Tuple         =(
								    num_decoder_layers if num_decoder_layers is not None else self.num_layers
								)  # default = symmetry
								UpperCamelCase__		:    Tuple         =num_heads
								UpperCamelCase__		:    List[Any]         =relative_attention_num_buckets
								UpperCamelCase__		:    Optional[Any]         =relative_attention_max_distance
								UpperCamelCase__		:    Union[str, Any]         =dropout_rate
								UpperCamelCase__		:    Union[str, Any]         =layer_norm_epsilon
								UpperCamelCase__		:    Tuple         =initializer_factor
								UpperCamelCase__		:    Any         =feed_forward_proj
								UpperCamelCase__		:    List[str]         =use_cache

								UpperCamelCase__		:    Tuple         =self.feed_forward_proj.split('''-'''						)
								UpperCamelCase__		:    int         =act_info[-1]
								UpperCamelCase__		:    Tuple         =act_info[0] == '''gated'''

								if len(lowercase_						) > 1 and act_info[0] != "gated" or len(lowercase_						) > 2:
													raise ValueError(
													    f'''`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'''
													    '''Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '''
													    '''\'gated-gelu\' or \'relu\''''						)

								# for backwards compatibility
								if feed_forward_proj == "gated-gelu":
													UpperCamelCase__		:    List[str]         ='''gelu_new'''






			@property
			def    _lowerCAmelCase			(							self     :					int						):
								return self.d_model






			@property
			def    _lowerCAmelCase			(							self     :					List[str]						):
								return self.num_heads






			@property
			def    _lowerCAmelCase			(							self     :					str						):
								return self.num_layers



class     __a   (      snake_case__    ):

			"""simple docstring"""

			@property
			# Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.inputs
			def    _lowerCAmelCase			(							self     :					List[str]						):
								UpperCamelCase__		:    Union[str, Any]         ={
								    '''input_ids''': {0: '''batch''', 1: '''encoder_sequence'''},
								    '''attention_mask''': {0: '''batch''', 1: '''encoder_sequence'''},
								}
								if self.use_past:
													UpperCamelCase__		:    int         ='''past_encoder_sequence + sequence'''
													UpperCamelCase__		:    Optional[Any]         ={0: '''batch'''}
													UpperCamelCase__		:    str         ={0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
								else:
													UpperCamelCase__		:    Union[str, Any]         ={0: '''batch''', 1: '''decoder_sequence'''}
													UpperCamelCase__		:    str         ={0: '''batch''', 1: '''decoder_sequence'''}

								if self.use_past:
													self.fill_with_past_key_values_(lowercase_						,  direction='''inputs'''						)

								return common_inputs






			@property
			# Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.default_onnx_opset
			def    _lowerCAmelCase			(							self     :					Dict						):
								return 13






			@property
			def    _lowerCAmelCase			(							self     :					Union[str, Any]						):
								return 5e-4





"""simple docstring"""





from __future__ import annotations

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

class     __a   :

			"""simple docstring"""

			SCREAMING_SNAKE_CASE_						     =						('_front', '_back', '_len')

			@dataclass
			class     __a   :

						"""simple docstring"""

						SCREAMING_SNAKE_CASE_						     =						None
						SCREAMING_SNAKE_CASE_						     =						None
						SCREAMING_SNAKE_CASE_						     =						None



			class     __a   :

						"""simple docstring"""

						SCREAMING_SNAKE_CASE_						     =						('_cur',)






						def __init__(							self     :					Optional[int]						,  lowercase_     :					Deque._Node | None						):
											UpperCamelCase__		:    List[str]         =cur






						def __iter__(							self     :					List[str]						):
											return self






						def    _lowerCAmelCase			(							self     :					List[Any]						):
											if self._cur is None:
																# finished iterating
																raise StopIteration
											UpperCamelCase__		:    str         =self._cur.val
											UpperCamelCase__		:    Any         =self._cur.next_node

											return val






			def __init__(							self     :					str						,  lowercase_     :					Iterable[Any] | None = None						):
								UpperCamelCase__		:    Any         =None
								UpperCamelCase__		:    Any         =None
								UpperCamelCase__		:    int         =0

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






			def    _lowerCAmelCase			(							self     :					str						,  lowercase_     :					Any						):
								UpperCamelCase__		:    Union[str, Any]         =self._Node(lowercase_						,  lowercase_						,  lowercase_						)
								if self.is_empty():
													# front = back
													UpperCamelCase__		:    Any         =node
													UpperCamelCase__		:    List[Any]         =1
								else:
													# connect nodes
													UpperCamelCase__		:    Any         =node
													UpperCamelCase__		:    Optional[Any]         =self._back
													UpperCamelCase__		:    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    _lowerCAmelCase			(							self     :					Optional[Any]						,  lowercase_     :					Any						):
								UpperCamelCase__		:    str         =self._Node(lowercase_						,  lowercase_						,  lowercase_						)
								if self.is_empty():
													# front = back
													UpperCamelCase__		:    str         =node
													UpperCamelCase__		:    Any         =1
								else:
													# connect nodes
													UpperCamelCase__		:    int         =self._front
													UpperCamelCase__		:    int         =node
													UpperCamelCase__		:    Any         =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    _lowerCAmelCase			(							self     :					List[Any]						,  lowercase_     :					Iterable[Any]						):
								for val in iterable:
													self.append(lowercase_						)






			def    _lowerCAmelCase			(							self     :					Dict						,  lowercase_     :					Iterable[Any]						):
								for val in iterable:
													self.appendleft(lowercase_						)






			def    _lowerCAmelCase			(							self     :					Optional[int]						):
								assert not self.is_empty(), "Deque is empty."

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

								self._len -= 1

								return topop.val






			def    _lowerCAmelCase			(							self     :					str						):
								assert not self.is_empty(), "Deque is empty."

								UpperCamelCase__		:    List[str]         =self._front
								UpperCamelCase__		:    List[Any]         =self._front.next_node  # set new front and drop the first node
								UpperCamelCase__		:    Dict         =None

								self._len -= 1

								return topop.val






			def    _lowerCAmelCase			(							self     :					Dict						):
								return self._front is None






			def __len__(							self     :					Any						):
								return self._len






			def __eq__(							self     :					Dict						,  lowercase_     :					object						):

								if not isinstance(lowercase_						,  lowercase_						):
													return NotImplemented

								UpperCamelCase__		:    Union[str, Any]         =self._front
								UpperCamelCase__		:    Union[str, Any]         =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
													UpperCamelCase__		:    Union[str, Any]         =me.next_node
													UpperCamelCase__		:    Union[str, Any]         =oth.next_node

								return True






			def __iter__(							self     :					Optional[int]						):
								return Deque._Iterator(self._front						)






			def __repr__(							self     :					Tuple						):
								UpperCamelCase__		:    List[Any]         =[]
								UpperCamelCase__		:    Optional[int]         =self._front
								while aux is not None:
													# append the values in a list to display
													values_list.append(aux.val						)
													UpperCamelCase__		:    Optional[Any]         =aux.next_node

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


if __name__ == "__main__":
				import doctest

				doctest.testmod()


