






import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


if TYPE_CHECKING:
							from ... import PreTrainedTokenizerBase, TensorType

UpperCamelCase        =				logging.get_logger(__name__)

class        lowerCAmelCase_				(      lowercase	):







				"""simple docstring"""




				_snake_case				:   List[str]        =			"""vision-encoder-decoder"""
				_snake_case				:   Optional[Any]        =			True







				def __init__( self     :List[Any]  ,     **lowerCamelCase__     :List[str]     ):
					super().__init__(**lowerCamelCase__     )
					if "encoder" not in kwargs or "decoder" not in kwargs:
						raise ValueError(
						    f"""A configuraton of type {self.model_type} cannot be instantiated because """
						    f"""not both `encoder` and `decoder` sub-configurations are passed, but only {kwargs}"""     )

					UpperCamelCase__ :List[Any]						=      kwargs.pop("""encoder"""     )
					UpperCamelCase__ :Any						=      encoder_config.pop("""model_type"""     )
					UpperCamelCase__ :Optional[int]						=      kwargs.pop("""decoder"""     )
					UpperCamelCase__ :Optional[Any]						=      decoder_config.pop("""model_type"""     )

					UpperCamelCase__ :Optional[Any]						=      AutoConfig.for_model(lowerCamelCase__  ,     **lowerCamelCase__     )
					UpperCamelCase__ :List[Any]						=      AutoConfig.for_model(lowerCamelCase__  ,     **lowerCamelCase__     )
					UpperCamelCase__ :Dict						=      True







				@classmethod
				def 				__a   ( cls     :Union[str, Any]  ,     lowerCamelCase__     :PretrainedConfig  ,     lowerCamelCase__     :PretrainedConfig  ,     **lowerCamelCase__     :List[Any]     ):
					logger.info("""Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"""     )
					UpperCamelCase__ :Dict						=      True
					UpperCamelCase__ :Optional[Any]						=      True

					return cls(encoder=encoder_config.to_dict()  ,     decoder=decoder_config.to_dict()  ,     **lowerCamelCase__     )







				def 				__a   ( self     :Dict     ):
					UpperCamelCase__ :Any						=      copy.deepcopy(self.__dict__     )
					UpperCamelCase__ :str						=      self.encoder.to_dict()
					UpperCamelCase__ :Any						=      self.decoder.to_dict()
					UpperCamelCase__ :List[Any]						=      self.__class__.model_type
					return output

class        lowerCAmelCase_				(      lowercase	):







				"""simple docstring"""




				_snake_case				:   List[Any]        =			version.parse("""1.11"""	)







				@property
				def 				__a   ( self     :int     ):
					return OrderedDict(
					    [
					        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
					    ]     )







				@property
				def 				__a   ( self     :Union[str, Any]     ):
					return 1e-4







				@property
				def 				__a   ( self     :List[Any]     ):
					return OrderedDict({"""last_hidden_state""": {0: """batch""", 1: """encoder_sequence"""}}     )

class        lowerCAmelCase_				(      lowercase	):







				"""simple docstring"""




				@property
				def 				__a   ( self     :Optional[Any]     ):
					UpperCamelCase__ :str						=      OrderedDict()
					UpperCamelCase__ :Union[str, Any]						=      {0: """batch""", 1: """past_decoder_sequence + sequence"""}
					UpperCamelCase__ :List[str]						=      {0: """batch""", 1: """past_decoder_sequence + sequence"""}
					UpperCamelCase__ :str						=      {0: """batch""", 1: """encoder_sequence"""}

					return common_inputs







				def 				__a   ( self     :int  ,     lowerCamelCase__     :"PreTrainedTokenizerBase"  ,     lowerCamelCase__     :int = -1  ,     lowerCamelCase__     :int = -1  ,     lowerCamelCase__     :bool = False  ,     lowerCamelCase__     :Optional["TensorType"] = None  ,     ):
					import torch

					UpperCamelCase__ :Dict						=      OrderedDict()

					UpperCamelCase__ :Tuple						=      super().generate_dummy_inputs(
					    lowerCamelCase__  ,     batch_size=lowerCamelCase__  ,     seq_length=lowerCamelCase__  ,     is_pair=lowerCamelCase__  ,     framework=lowerCamelCase__     )

					UpperCamelCase__				,		UpperCamelCase__ :str						=      dummy_input["""input_ids"""].shape
					UpperCamelCase__ :str						=      (batch, encoder_sequence, self._config.encoder_hidden_size)
					UpperCamelCase__ :Optional[Any]						=      dummy_input.pop("""input_ids"""     )
					UpperCamelCase__ :List[Any]						=      dummy_input.pop("""attention_mask"""     )
					UpperCamelCase__ :str						=      torch.zeros(lowerCamelCase__     )

					return common_inputs

class        lowerCAmelCase_				(      lowercase	):







				"""simple docstring"""




				@property
				def 				__a   ( self     :List[str]     ):
					pass







				def 				__a   ( self     :List[str]  ,     lowerCamelCase__     :PretrainedConfig     ):
					return VisionEncoderDecoderEncoderOnnxConfig(lowerCamelCase__     )







				def 				__a   ( self     :Dict  ,     lowerCamelCase__     :PretrainedConfig  ,     lowerCamelCase__     :PretrainedConfig  ,     lowerCamelCase__     :str = "default"     ):
					UpperCamelCase__ :Tuple						=      encoder_config.hidden_size
					return VisionEncoderDecoderDecoderOnnxConfig(lowerCamelCase__  ,     lowerCamelCase__     )







"""simple docstring"""
class _lowerCAmelCase						:







						def __init__(    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_=None   ,				lowerCAmelCase_=None							)		->							int:
										_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    data
										_SCREAMING_SNAKE_CASE   :		Tuple       		=    previous
										_SCREAMING_SNAKE_CASE   :		Any       		=    next_node







						def __str__(    self							)		->							str:
										return F"""{self.data}"""







						def 			A      (    self							)		->							int:
										return self.data







						def 			A      (    self							)		->							Dict:
										return self.next







						def 			A      (    self							)		->							Union[str, Any]:
										return self.previous







class _lowerCAmelCase						:







						def __init__(    self   ,				lowerCAmelCase_							)		->							List[str]:
										_SCREAMING_SNAKE_CASE   :		List[Any]       		=    head







						def __iter__(    self							)		->							Any:
										return self







						def 			A      (    self							)		->							Dict:
										if not self.current:
														raise StopIteration
										else:
														_SCREAMING_SNAKE_CASE   :		Any       		=    self.current.get_data()
														_SCREAMING_SNAKE_CASE   :		Dict       		=    self.current.get_next()
														return value







class _lowerCAmelCase						:







						def __init__(    self							)		->							Dict:
										_SCREAMING_SNAKE_CASE   :		Dict       		=    None  # First node in list
										_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    None  # Last node in list







						def __str__(    self							)		->							Any:
										_SCREAMING_SNAKE_CASE   :		str       		=    self.head
										_SCREAMING_SNAKE_CASE   :		int       		=    []
										while current is not None:
														nodes.append(current.get_data()							)
														_SCREAMING_SNAKE_CASE   :		List[Any]       		=    current.get_next()
										return " ".join(str(lowerCAmelCase_							) for node in nodes							)







						def __contains__(    self   ,				lowerCAmelCase_							)		->							Any:
										_SCREAMING_SNAKE_CASE   :		Any       		=    self.head
										while current:
														if current.get_data() == value:
																		return True
														_SCREAMING_SNAKE_CASE   :		int       		=    current.get_next()
										return False







						def __iter__(    self							)		->							str:
										return LinkedListIterator(self.head							)







						def 			A      (    self							)		->							Dict:
										if self.head:
														return self.head.get_data()
										return None







						def 			A      (    self							)		->							List[Any]:
										if self.tail:
														return self.tail.get_data()
										return None







						def 			A      (    self   ,				lowerCAmelCase_							)		->							None:
										if self.head is None:
														_SCREAMING_SNAKE_CASE   :		List[Any]       		=    node
														_SCREAMING_SNAKE_CASE   :		Dict       		=    node
										else:
														self.insert_before_node(self.head   ,				lowerCAmelCase_							)







						def 			A      (    self   ,				lowerCAmelCase_							)		->							None:
										if self.head is None:
														self.set_head(lowerCAmelCase_							)
										else:
														self.insert_after_node(self.tail   ,				lowerCAmelCase_							)







						def 			A      (    self   ,				lowerCAmelCase_							)		->							None:
										_SCREAMING_SNAKE_CASE   :		Any       		=    Node(lowerCAmelCase_							)
										if self.head is None:
														self.set_head(lowerCAmelCase_							)
										else:
														self.set_tail(lowerCAmelCase_							)







						def 			A      (    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_							)		->							None:
										_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    node
										_SCREAMING_SNAKE_CASE   :		List[Any]       		=    node.previous

										if node.get_previous() is None:
														_SCREAMING_SNAKE_CASE   :		List[Any]       		=    node_to_insert
										else:
														_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    node_to_insert

										_SCREAMING_SNAKE_CASE   :		Any       		=    node_to_insert







						def 			A      (    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_							)		->							None:
										_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    node
										_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    node.next

										if node.get_next() is None:
														_SCREAMING_SNAKE_CASE   :		Tuple       		=    node_to_insert
										else:
														_SCREAMING_SNAKE_CASE   :		Any       		=    node_to_insert

										_SCREAMING_SNAKE_CASE   :		List[str]       		=    node_to_insert







						def 			A      (    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_							)		->							None:
										_SCREAMING_SNAKE_CASE   :		List[Any]       		=    1
										_SCREAMING_SNAKE_CASE   :		str       		=    Node(lowerCAmelCase_							)
										_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    self.head
										while node:
														if current_position == position:
																		self.insert_before_node(lowerCAmelCase_   ,				lowerCAmelCase_							)
																		return
														current_position += 1
														_SCREAMING_SNAKE_CASE   :		List[str]       		=    node.next
										self.insert_after_node(self.tail   ,				lowerCAmelCase_							)







						def 			A      (    self   ,				lowerCAmelCase_							)		->							Node:
										_SCREAMING_SNAKE_CASE   :		Tuple       		=    self.head
										while node:
														if node.get_data() == item:
																		return node
														_SCREAMING_SNAKE_CASE   :		Dict       		=    node.get_next()
										raise Exception('Node not found'							)







						def 			A      (    self   ,				lowerCAmelCase_							)		->							int:
										if (node := self.get_node(lowerCAmelCase_							)) is not None:
														if node == self.head:
																		_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    self.head.get_next()

														if node == self.tail:
																		_SCREAMING_SNAKE_CASE   :		int       		=    self.tail.get_previous()

														self.remove_node_pointers(lowerCAmelCase_							)







						@staticmethod
						def 			A      (    lowerCAmelCase_							)		->							None:
										if node.get_next():
														_SCREAMING_SNAKE_CASE   :		List[Any]       		=    node.previous

										if node.get_previous():
														_SCREAMING_SNAKE_CASE   :		str       		=    node.next

										_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    None
										_SCREAMING_SNAKE_CASE   :		List[Any]       		=    None







						def 			A      (    self							)		->							List[str]:
										return self.head is None







def 				lowercase__		(					):
				pass


if __name__ == "__main__":
			import doctest

			doctest.testmod()

