
from __future__ import annotations

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

lowerCamelCase      =TypeVar("T")
lowerCamelCase      =TypeVar("U")




class 				_lowerCamelCase (      Generic[T, U] ):





     """simple docstring"""







     def __init__(							self						,						__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )  ->   str:




           """simple docstring"""







           UpperCamelCase__    :   Any					=				key
           UpperCamelCase__    :   Union[str, Any]					=				val
           UpperCamelCase__    :   DoubleLinkedListNode[T, U] | None					=				None
           UpperCamelCase__    :   DoubleLinkedListNode[T, U] | None					=				None






     def __repr__(							self  )  ->   str:




           """simple docstring"""







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




class 				_lowerCamelCase (      Generic[T, U] ):





     """simple docstring"""







     def __init__(							self  )  ->   None:




           """simple docstring"""







           UpperCamelCase__    :   DoubleLinkedListNode[T, U]					=				DoubleLinkedListNode(__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )
           UpperCamelCase__    :   DoubleLinkedListNode[T, U]					=				DoubleLinkedListNode(__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )
           UpperCamelCase__				,UpperCamelCase__    :   Union[str, Any]					=				self.rear, self.head






     def __repr__(							self  )  ->   str:




           """simple docstring"""







           UpperCamelCase__    :   List[Any]					=				['''DoubleLinkedList''']
           UpperCamelCase__    :   Any					=				self.head
           while node.next is not None:
                 rep.append(str(__SCREAMING_SNAKE_CASE  )  )
                 UpperCamelCase__    :   Any					=				node.next
           rep.append(str(self.rear  )  )
           return ",\n    ".join(__SCREAMING_SNAKE_CASE  )






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE  )  ->   None:




           """simple docstring"""







           UpperCamelCase__    :   List[Any]					=				self.rear.prev

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

           UpperCamelCase__    :   str					=				node
           UpperCamelCase__    :   List[str]					=				previous
           UpperCamelCase__    :   Any					=				node
           UpperCamelCase__    :   Union[str, Any]					=				self.rear






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE  )  ->   DoubleLinkedListNode[T, U] | None:




           """simple docstring"""







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

           UpperCamelCase__    :   Dict					=				node.next
           UpperCamelCase__    :   Union[str, Any]					=				node.prev
           UpperCamelCase__    :   Dict					=				None
           UpperCamelCase__    :   List[Any]					=				None
           return node




class 				_lowerCamelCase (      Generic[T, U] ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		   =  {}






     def __init__(							self						,						__SCREAMING_SNAKE_CASE  )  ->   Dict:




           """simple docstring"""







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






     def __repr__(							self  )  ->   str:




           """simple docstring"""







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






     def __contains__(							self						,						__SCREAMING_SNAKE_CASE  )  ->   bool:




           """simple docstring"""







           return key in self.cache






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE  )  ->   U | None:




           """simple docstring"""







           if key in self.cache:
                 self.hits += 1
                 UpperCamelCase__    :   DoubleLinkedListNode[T, U]					=				self.cache[key]
                 UpperCamelCase__    :   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(__SCREAMING_SNAKE_CASE  )
                 return node.val
           self.miss += 1
           return None






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )  ->   None:




           """simple docstring"""







           if key not in self.cache:
                 if self.num_keys >= self.capacity:
                       # delete first node (oldest) when over capacity
                       UpperCamelCase__    :   List[str]					=				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(__SCREAMING_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
                 UpperCamelCase__    :   Any					=				DoubleLinkedListNode(__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )
                 self.list.add(self.cache[key]  )
                 self.num_keys += 1

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






     @classmethod
     def    __SCREAMING_SNAKE_CASE			(							cls						,						__SCREAMING_SNAKE_CASE = 1_2_8  )  ->   Callable[[Callable[[T], U]], Callable[..., U]]:




           """simple docstring"""







           def cache_decorator_inner(__SCREAMING_SNAKE_CASE  ) -> Callable[..., U]:
                 def cache_decorator_wrapper(*__SCREAMING_SNAKE_CASE  ) -> U:
                       if func not in cls.decorator_function_to_instance_map:
                             UpperCamelCase__    :   Union[str, Any]					=				LRUCache(__SCREAMING_SNAKE_CASE  )

                       UpperCamelCase__    :   List[Any]					=				cls.decorator_function_to_instance_map[func].get(args[0]  )
                       if result is None:
                             UpperCamelCase__    :   int					=				func(*__SCREAMING_SNAKE_CASE  )
                             cls.decorator_function_to_instance_map[func].put(args[0]						,						__SCREAMING_SNAKE_CASE  )
                       return result

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

                 setattr(__SCREAMING_SNAKE_CASE						,						'''cache_info'''						,						__SCREAMING_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_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase      ={
    "configuration_blenderbot": [
        "BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotConfig",
        "BlenderbotOnnxConfig",
    ],
    "tokenization_blenderbot": ["BlenderbotTokenizer"],
}

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =["BlenderbotTokenizerFast"]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "BlenderbotForCausalLM",
        "BlenderbotForConditionalGeneration",
        "BlenderbotModel",
        "BlenderbotPreTrainedModel",
    ]


try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "TFBlenderbotForConditionalGeneration",
        "TFBlenderbotModel",
        "TFBlenderbotPreTrainedModel",
    ]


try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "FlaxBlenderbotForConditionalGeneration",
        "FlaxBlenderbotModel",
        "FlaxBlenderbotPreTrainedModel",
    ]


if TYPE_CHECKING:
    from .configuration_blenderbot import (
        BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BlenderbotConfig,
        BlenderbotOnnxConfig,
    )
    from .tokenization_blenderbot import BlenderbotTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_blenderbot import (
            BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BlenderbotForCausalLM,
            BlenderbotForConditionalGeneration,
            BlenderbotModel,
            BlenderbotPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_blenderbot import (
            TFBlenderbotForConditionalGeneration,
            TFBlenderbotModel,
            TFBlenderbotPreTrainedModel,
        )

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_blenderbot import (
            FlaxBlenderbotForConditionalGeneration,
            FlaxBlenderbotModel,
            FlaxBlenderbotPreTrainedModel,
        )

else:
    import sys

    lowerCamelCase      =_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


