


'''simple docstring'''



from __future__ import annotations

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

A__	:      Dict				=						TypeVar("""T""")
A__	:      int				=						TypeVar("""U""")





class      UpperCAmelCase_						(Generic[T, U]						):





    """simple docstring"""






    def __init__(							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_			)       ->  Union[str, Any]:
         __lowerCamelCase     :			List[Any]              =	key
         __lowerCamelCase     :			str              =	val
         __lowerCamelCase     :			int              =	0
         __lowerCamelCase     :			DoubleLinkedListNode[T, U] | None              =	None
         __lowerCamelCase     :			DoubleLinkedListNode[T, U] | None              =	None







    def __repr__(							self			)       ->  str:
         return "Node: key: {}, val: {}, freq: {}, has next: {}, has prev: {}".format(
             self.key    ,  self.val    ,  self.freq    ,  self.next is not None    ,  self.prev is not None			)







class      UpperCAmelCase_						(Generic[T, U]						):





    """simple docstring"""






    def __init__(							self			)       ->  None:
         __lowerCamelCase     :			DoubleLinkedListNode[T, U]              =	DoubleLinkedListNode(SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_			)
         __lowerCamelCase     :			DoubleLinkedListNode[T, U]              =	DoubleLinkedListNode(SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_			)
         __lowerCamelCase       , __lowerCamelCase     :			int              =	self.rear, self.head







    def __repr__(							self			)       ->  str:
         __lowerCamelCase     :			Dict              =	['DoubleLinkedList']
         __lowerCamelCase     :			Union[str, Any]              =	self.head
         while node.next is not None:
              rep.append(str(SCREAMING_SNAKE_CASE_			)			)
              __lowerCamelCase     :			str              =	node.next
         rep.append(str(self.rear			)			)
         return ",\n    ".join(SCREAMING_SNAKE_CASE_			)







    def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_			)       ->  None:
         __lowerCamelCase     :			Tuple              =	self.rear.prev

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

         __lowerCamelCase     :			List[str]              =	node
         __lowerCamelCase     :			Optional[int]              =	previous
         __lowerCamelCase     :			int              =	node
         __lowerCamelCase     :			List[str]              =	self.rear
         node.freq += 1
         self._position_node(SCREAMING_SNAKE_CASE_			)







    def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_			)       ->  None:

         while node.prev is not None and node.prev.freq > node.freq:
              # swap node with previous node
              __lowerCamelCase     :			int              =	node.prev

              __lowerCamelCase     :			str              =	previous_node.prev
              __lowerCamelCase     :			Any              =	node.prev
              __lowerCamelCase     :			str              =	previous_node
              __lowerCamelCase     :			Dict              =	node







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

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

         __lowerCamelCase     :			Tuple              =	node.next
         __lowerCamelCase     :			Any              =	node.prev
         __lowerCamelCase     :			List[str]              =	None
         __lowerCamelCase     :			Dict              =	None
         return node







class      UpperCAmelCase_						(Generic[T, U]						):





    """simple docstring"""






    lowerCamelCase						:      dict[Callable[[T], U], LFUCache[T, U]]							  =    {}







    def __init__(							self    ,  SCREAMING_SNAKE_CASE_			)       ->  Any:
         __lowerCamelCase     :			DoubleLinkedList[T, U]              =	DoubleLinkedList()
         __lowerCamelCase     :			int              =	capacity
         __lowerCamelCase     :			Union[str, Any]              =	0
         __lowerCamelCase     :			Dict              =	0
         __lowerCamelCase     :			Optional[int]              =	0
         __lowerCamelCase     :			dict[T, DoubleLinkedListNode[T, U]]              =	{}







    def __repr__(							self			)       ->  str:
         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:
         return key in self.cache







    def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_			)       ->  U | None:

         if key in self.cache:
              self.hits += 1
              __lowerCamelCase     :			DoubleLinkedListNode[T, U]              =	self.cache[key]
              __lowerCamelCase     :			List[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    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_			)       ->  None:

         if key not in self.cache:
              if self.num_keys >= self.capacity:
                   # delete first node when over capacity
                   __lowerCamelCase     :			Any              =	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
                   # first_node guaranteed to be in list

                   del self.cache[first_node.key]
                   self.num_keys -= 1
              __lowerCamelCase     :			Optional[int]              =	DoubleLinkedListNode(SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_			)
              self.list.add(self.cache[key]			)
              self.num_keys += 1

         else:
              __lowerCamelCase     :			Optional[int]              =	self.list.remove(self.cache[key]			)
              assert node is not None  # node guaranteed to be in list
              __lowerCamelCase     :			List[str]              =	value
              self.list.add(SCREAMING_SNAKE_CASE_			)







    @classmethod
    def    lowercase_       (							cls    ,  SCREAMING_SNAKE_CASE_ = 1_28			)       ->  Callable[[Callable[[T], U]], Callable[..., U]]:

         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:
                        __lowerCamelCase     :			int              =	LFUCache(SCREAMING_SNAKE_CASE_			)

                   __lowerCamelCase     :			Union[str, Any]              =	cls.decorator_function_to_instance_map[func].get(args[0]			)
                   if result is None:
                        __lowerCamelCase     :			str              =	func(*SCREAMING_SNAKE_CASE_			)
                        cls.decorator_function_to_instance_map[func].put(args[0]    ,  SCREAMING_SNAKE_CASE_			)
                   return result

              def cache_info() -> LFUCache[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()










'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


A__	:      Optional[Any]				=						{
    """configuration_xlm_prophetnet""": ["""XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """XLMProphetNetConfig"""],
}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__	:      List[Any]				=						["""XLMProphetNetTokenizer"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__	:      Optional[Any]				=						[
          """XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """XLMProphetNetDecoder""",
          """XLMProphetNetEncoder""",
          """XLMProphetNetForCausalLM""",
          """XLMProphetNetForConditionalGeneration""",
          """XLMProphetNetModel""",
          """XLMProphetNetPreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig

      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_xlm_prophetnet import XLMProphetNetTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_xlm_prophetnet import (
                XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                XLMProphetNetDecoder,
                XLMProphetNetEncoder,
                XLMProphetNetForCausalLM,
                XLMProphetNetForConditionalGeneration,
                XLMProphetNetModel,
                XLMProphetNetPreTrainedModel,
            )

else:
      import sys

      A__	:      List[str]				=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






