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

__lowerCamelCase    :				int							     =	logging.get_logger(__name__)







class __snake_case       (		lowerCamelCase_	):
   lowerCAmelCase_														=							"vision-encoder-decoder"
   lowerCAmelCase_														=							True




   def __init__(					self    :       List[str] ,			**_lowercase    :       Optional[Any]   ):



     """simple docstring"""






     super().__init__(**_lowercase   )
     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}"""   )

     SCREAMING_SNAKE_CASE__    							=   kwargs.pop("""encoder"""   )
     SCREAMING_SNAKE_CASE__    							=   encoder_config.pop("""model_type"""   )
     SCREAMING_SNAKE_CASE__    							=   kwargs.pop("""decoder"""   )
     SCREAMING_SNAKE_CASE__    							=   decoder_config.pop("""model_type"""   )

     SCREAMING_SNAKE_CASE__    							=   AutoConfig.for_model(_lowercase ,			**_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   AutoConfig.for_model(_lowercase ,			**_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   True




   @classmethod
   def 			__a		(					cls    :       List[Any] ,			_lowercase    :       PretrainedConfig ,			_lowercase    :       PretrainedConfig ,			**_lowercase    :       Dict   ):



     """simple docstring"""






     logger.info("""Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"""   )
     SCREAMING_SNAKE_CASE__    							=   True
     SCREAMING_SNAKE_CASE__    							=   True

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




   def 			__a		(					self    :       Dict   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   copy.deepcopy(self.__dict__   )
     SCREAMING_SNAKE_CASE__    							=   self.encoder.to_dict()
     SCREAMING_SNAKE_CASE__    							=   self.decoder.to_dict()
     SCREAMING_SNAKE_CASE__    							=   self.__class__.model_type
     return output







class __snake_case       (		lowerCamelCase_	):
   lowerCAmelCase_														=							version.parse("1.11"	)




   @property
   def 			__a		(					self    :       Union[str, Any]   ):



     """simple docstring"""






     return OrderedDict(
         [
             ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
         ]   )




   @property
   def 			__a		(					self    :       Union[str, Any]   ):



     """simple docstring"""






     return 1E-4




   @property
   def 			__a		(					self    :       Optional[int]   ):



     """simple docstring"""






     return OrderedDict({"""last_hidden_state""": {0: """batch""", 1: """encoder_sequence"""}}   )







class __snake_case       (		lowerCamelCase_	):




   @property
   def 			__a		(					self    :       Union[str, Any]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   OrderedDict()
     SCREAMING_SNAKE_CASE__    							=   {0: """batch""", 1: """past_decoder_sequence + sequence"""}
     SCREAMING_SNAKE_CASE__    							=   {0: """batch""", 1: """past_decoder_sequence + sequence"""}
     SCREAMING_SNAKE_CASE__    							=   {0: """batch""", 1: """encoder_sequence"""}

     return common_inputs




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



     """simple docstring"""






     import torch

     SCREAMING_SNAKE_CASE__    							=   OrderedDict()

     SCREAMING_SNAKE_CASE__    							=   super().generate_dummy_inputs(
         _lowercase ,			batch_size=_lowercase ,			seq_length=_lowercase ,			is_pair=_lowercase ,			framework=_lowercase   )

     SCREAMING_SNAKE_CASE__							,  SCREAMING_SNAKE_CASE__    							=   dummy_input["""input_ids"""].shape
     SCREAMING_SNAKE_CASE__    							=   (batch, encoder_sequence, self._config.encoder_hidden_size)
     SCREAMING_SNAKE_CASE__    							=   dummy_input.pop("""input_ids"""   )
     SCREAMING_SNAKE_CASE__    							=   dummy_input.pop("""attention_mask"""   )
     SCREAMING_SNAKE_CASE__    							=   torch.zeros(_lowercase   )

     return common_inputs







class __snake_case       (		lowerCamelCase_	):




   @property
   def 			__a		(					self    :       Any   ):



     """simple docstring"""






     pass




   def 			__a		(					self    :       Dict ,			_lowercase    :       PretrainedConfig   ):



     """simple docstring"""






     return VisionEncoderDecoderEncoderOnnxConfig(_lowercase   )




   def 			__a		(					self    :       Any ,			_lowercase    :       PretrainedConfig ,			_lowercase    :       PretrainedConfig ,			_lowercase    :       str = "default"   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   encoder_config.hidden_size
     return VisionEncoderDecoderDecoderOnnxConfig(_lowercase ,			_lowercase   )

from __future__ import annotations

from collections.abc import Iterator
from typing import Any







class __snake_case       :




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



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   data
     SCREAMING_SNAKE_CASE__    							=   None







class __snake_case       :




   def __init__(					self    :       List[Any]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   None
     SCREAMING_SNAKE_CASE__    							=   None




   def __iter__(					self    :       Tuple   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   self.head
     while self.head:
       yield node.data
       SCREAMING_SNAKE_CASE__    							=   node.next
       if node == self.head:
         break




   def __len__(					self    :       int   ):



     """simple docstring"""






     return sum(1 for _ in self   )




   def __repr__(					self    :       Optional[int]   ):



     """simple docstring"""






     return "->".join(str(_lowercase   ) for item in iter(self   )   )




   def 			__a		(					self    :       Optional[int] ,			_lowercase    :       Any   ):



     """simple docstring"""






     self.insert_nth(len(self   ) ,			_lowercase   )




   def 			__a		(					self    :       Tuple ,			_lowercase    :       Any   ):



     """simple docstring"""






     self.insert_nth(0 ,			_lowercase   )




   def 			__a		(					self    :       Tuple ,			_lowercase    :       int ,			_lowercase    :       Any   ):



     """simple docstring"""






     if index < 0 or index > len(self   ):
       raise IndexError("""list index out of range."""   )
     SCREAMING_SNAKE_CASE__    							=   Node(_lowercase   )
     if self.head is None:
       SCREAMING_SNAKE_CASE__    							=   new_node  # first node points itself
       SCREAMING_SNAKE_CASE__    							=   SCREAMING_SNAKE_CASE__    							=   new_node
     elif index == 0:  # insert at head
       SCREAMING_SNAKE_CASE__    							=   self.head
       SCREAMING_SNAKE_CASE__    							=   SCREAMING_SNAKE_CASE__    							=   new_node
     else:
       SCREAMING_SNAKE_CASE__    							=   self.head
       for _ in range(index - 1   ):
         SCREAMING_SNAKE_CASE__    							=   temp.next
       SCREAMING_SNAKE_CASE__    							=   temp.next
       SCREAMING_SNAKE_CASE__    							=   new_node
       if index == len(self   ) - 1:  # insert at tail
         SCREAMING_SNAKE_CASE__    							=   new_node




   def 			__a		(					self    :       Dict   ):



     """simple docstring"""






     return self.delete_nth(0   )




   def 			__a		(					self    :       str   ):



     """simple docstring"""






     return self.delete_nth(len(self   ) - 1   )




   def 			__a		(					self    :       str ,			_lowercase    :       int = 0   ):



     """simple docstring"""






     if not 0 <= index < len(self   ):
       raise IndexError("""list index out of range."""   )
     SCREAMING_SNAKE_CASE__    							=   self.head
     if self.head == self.tail:  # just one node
       SCREAMING_SNAKE_CASE__    							=   SCREAMING_SNAKE_CASE__    							=   None
     elif index == 0:  # delete head node
       SCREAMING_SNAKE_CASE__    							=   self.tail.next.next
       SCREAMING_SNAKE_CASE__    							=   self.head.next
     else:
       SCREAMING_SNAKE_CASE__    							=   self.head
       for _ in range(index - 1   ):
         SCREAMING_SNAKE_CASE__    							=   temp.next
       SCREAMING_SNAKE_CASE__    							=   temp.next
       SCREAMING_SNAKE_CASE__    							=   temp.next.next
       if index == len(self   ) - 1:  # delete at tail
         SCREAMING_SNAKE_CASE__    							=   temp
     return delete_node.data




   def 			__a		(					self    :       Optional[int]   ):



     """simple docstring"""






     return len(self   ) == 0





def 			__SCREAMING_SNAKE_CASE						(      )							->      None:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   CircularLinkedList()
  assert len(__UpperCamelCase			) == 0
  assert circular_linked_list.is_empty() is True
  assert str(__UpperCamelCase			) == ""

  try:
    circular_linked_list.delete_front()
    raise AssertionError  # This should not happen
  except IndexError:
    assert True  # This should happen

  try:
    circular_linked_list.delete_tail()
    raise AssertionError  # This should not happen
  except IndexError:
    assert True  # This should happen

  try:
    circular_linked_list.delete_nth(-1			)
    raise AssertionError
  except IndexError:
    assert True

  try:
    circular_linked_list.delete_nth(0			)
    raise AssertionError
  except IndexError:
    assert True

  assert circular_linked_list.is_empty() is True
  for i in range(5			):
    assert len(__UpperCamelCase			) == i
    circular_linked_list.insert_nth(__UpperCamelCase				,  i + 1			)
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(1				,  6			)			)

  circular_linked_list.insert_tail(6			)
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(1				,  7			)			)
  circular_linked_list.insert_head(0			)
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(0				,  7			)			)

  assert circular_linked_list.delete_front() == 0
  assert circular_linked_list.delete_tail() == 6
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(1				,  6			)			)
  assert circular_linked_list.delete_nth(2			) == 3

  circular_linked_list.insert_nth(2				,  3			)
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(1				,  6			)			)

  assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
   import doctest

   doctest.testmod()
