
from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

__lowerCamelCase							=       TypeVar("""T""")
__lowerCamelCase							=       TypeVar("""U""")






class   UpperCAmelCase		(						Generic[T, U] ):



   def __init__(self		:					Dict    ,						snake_case__		:					T | None    ,						snake_case__		:					U | None )		->	List[str]:


          '''simple docstring'''


          snake_case       :   Any							=      key
          snake_case       :   int							=      val
          snake_case       :   DoubleLinkedListNode[T, U] | None							=      None
          snake_case       :   DoubleLinkedListNode[T, U] | None							=      None



   def __repr__(self		:					List[Any] )		->	str:


          '''simple docstring'''


          return (
              f"""Node: key: {self.key}, val: {self.val}, """
              f"""has next: {bool(self.next )}, has prev: {bool(self.prev )}"""
          )






class   UpperCAmelCase		(						Generic[T, U] ):



   def __init__(self		:					List[Any] )		->	None:


          '''simple docstring'''


          snake_case       :   DoubleLinkedListNode[T, U]							=      DoubleLinkedListNode(snake_case__    ,						snake_case__ )
          snake_case       :   DoubleLinkedListNode[T, U]							=      DoubleLinkedListNode(snake_case__    ,						snake_case__ )
          snake_case				,					snake_case       :   Optional[int]							=      self.rear, self.head



   def __repr__(self		:					int )		->	str:


          '''simple docstring'''


          snake_case       :   Dict							=      ["DoubleLinkedList"]
          snake_case       :   Optional[int]							=      self.head
          while node.next is not None:
                 rep.append(str(snake_case__ ) )
                 snake_case       :   List[str]							=      node.next
          rep.append(str(self.rear ) )
          return ",\n    ".join(snake_case__ )



   def 				_SCREAMING_SNAKE_CASE   (self		:					Optional[Any]    ,						snake_case__		:					DoubleLinkedListNode[T, U] )		->	None:


          '''simple docstring'''


          snake_case       :   Any							=      self.rear.prev

          # All nodes other than self.head are guaranteed to have non-None previous
          assert previous is not None

          snake_case       :   str							=      node
          snake_case       :   Any							=      previous
          snake_case       :   str							=      node
          snake_case       :   Dict							=      self.rear



   def 				_SCREAMING_SNAKE_CASE   (self		:					Optional[Any]    ,						snake_case__		:					DoubleLinkedListNode[T, U] )		->	DoubleLinkedListNode[T, U] | None:


          '''simple docstring'''


          if node.prev is None or node.next is None:
                 return None

          snake_case       :   Any							=      node.next
          snake_case       :   int							=      node.prev
          snake_case       :   str							=      None
          snake_case       :   str							=      None
          return node






class   UpperCAmelCase		(						Generic[T, U] ):
   A__					:		dict[Callable[[T], U], LRUCache[T, U]]						     =     {}



   def __init__(self		:					Union[str, Any]    ,						snake_case__		:					int )		->	List[Any]:


          '''simple docstring'''


          snake_case       :   DoubleLinkedList[T, U]							=      DoubleLinkedList()
          snake_case       :   Tuple							=      capacity
          snake_case       :   Dict							=      0
          snake_case       :   Tuple							=      0
          snake_case       :   int							=      0
          snake_case       :   dict[T, DoubleLinkedListNode[T, U]]							=      {}



   def __repr__(self		:					Optional[Any] )		->	str:


          '''simple docstring'''


          return (
              f"""CacheInfo(hits={self.hits}, misses={self.miss}, """
              f"""capacity={self.capacity}, current size={self.num_keys})"""
          )



   def __contains__(self		:					Dict    ,						snake_case__		:					T )		->	bool:


          '''simple docstring'''


          return key in self.cache



   def 				_SCREAMING_SNAKE_CASE   (self		:					Tuple    ,						snake_case__		:					T )		->	U | None:


          '''simple docstring'''


          if key in self.cache:
                 self.hits += 1
                 snake_case       :   DoubleLinkedListNode[T, U]							=      self.cache[key]
                 snake_case       :   Any							=      self.list.remove(self.cache[key] )
                 assert node == value_node

                 # node is guaranteed not None because it is in self.cache
                 assert node is not None
                 self.list.add(snake_case__ )
                 return node.val
          self.miss += 1
          return None



   def 				_SCREAMING_SNAKE_CASE   (self		:					int    ,						snake_case__		:					T    ,						snake_case__		:					U )		->	None:


          '''simple docstring'''


          if key not in self.cache:
                 if self.num_keys >= self.capacity:
                        # delete first node (oldest) when over capacity
                        snake_case       :   Optional[int]							=      self.list.head.next

                        # guaranteed to have a non-None first node when num_keys > 0
                        # explain to type checker via assertions
                        assert first_node is not None
                        assert first_node.key is not None
                        assert (
                            self.list.remove(snake_case__ ) is not None
                        )  # node guaranteed to be in list assert node.key is not None

                        del self.cache[first_node.key]
                        self.num_keys -= 1
                 snake_case       :   Tuple							=      DoubleLinkedListNode(snake_case__    ,						snake_case__ )
                 self.list.add(self.cache[key] )
                 self.num_keys += 1

          else:
                 # bump node to the end of the list, update value
                 snake_case       :   str							=      self.list.remove(self.cache[key] )
                 assert node is not None  # node guaranteed to be in list
                 snake_case       :   str							=      value
                 self.list.add(snake_case__ )



   @classmethod
   def 				_SCREAMING_SNAKE_CASE   (cls		:					List[str]    ,						snake_case__		:					int = 1_28 )		->	Callable[[Callable[[T], U]], Callable[..., U]]:


          '''simple docstring'''


          def cache_decorator_inner(snake_case__		:					Callable[[T], U] ) -> Callable[..., U]:
                 def cache_decorator_wrapper(*snake_case__		:					T ) -> U:
                        if func not in cls.decorator_function_to_instance_map:
                               snake_case       :   Optional[int]							=      LRUCache(snake_case__ )

                        snake_case       :   Any							=      cls.decorator_function_to_instance_map[func].get(args[0] )
                        if result is None:
                               snake_case       :   Tuple							=      func(*snake_case__ )
                               cls.decorator_function_to_instance_map[func].put(args[0]    ,						snake_case__ )
                        return result

                 def cache_info() -> LRUCache[T, U]:
                        return cls.decorator_function_to_instance_map[func]

                 setattr(snake_case__    ,						"cache_info"    ,						snake_case__ )  # noqa: B010

                 return cache_decorator_wrapper

          return cache_decorator_inner


if __name__ == "__main__":
   import doctest

   doctest.testmod()







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


if is_sentencepiece_available():
   from ..ta.tokenization_ta import TaTokenizer
else:
   from ...utils.dummy_sentencepiece_objects import TaTokenizer

__lowerCamelCase							=       TaTokenizer

if is_tokenizers_available():
   from ..ta.tokenization_ta_fast import TaTokenizerFast
else:
   from ...utils.dummy_tokenizers_objects import TaTokenizerFast

__lowerCamelCase							=       TaTokenizerFast

__lowerCamelCase							=       {"""configuration_mt5""": ["""MT5Config""", """MT5OnnxConfig"""]}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase							=       [
       """MT5EncoderModel""",
       """MT5ForConditionalGeneration""",
       """MT5ForQuestionAnswering""",
       """MT5Model""",
       """MT5PreTrainedModel""",
       """MT5Stack""",
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase							=       ["""TFMT5EncoderModel""", """TFMT5ForConditionalGeneration""", """TFMT5Model"""]

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase							=       ["""FlaxMT5EncoderModel""", """FlaxMT5ForConditionalGeneration""", """FlaxMT5Model"""]


if TYPE_CHECKING:
   from .configuration_mta import MTaConfig, MTaOnnxConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mta import (
          MTaEncoderModel,
          MTaForConditionalGeneration,
          MTaForQuestionAnswering,
          MTaModel,
          MTaPreTrainedModel,
          MTaStack,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_mta import TFMTaEncoderModel, TFMTaForConditionalGeneration, TFMTaModel

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_mta import FlaxMTaEncoderModel, FlaxMTaForConditionalGeneration, FlaxMTaModel

else:
   import sys

   __lowerCamelCase							=       _LazyModule(
       __name__,
       globals()["""__file__"""],
       _import_structure,
       extra_objects={"""MT5Tokenizer""": MTaTokenizer, """MT5TokenizerFast""": MTaTokenizerFast},
       module_spec=__spec__,
   )





