from __future__ import annotations

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

__SCREAMING_SNAKE_CASE :  Optional[Any]  =						TypeVar("""T""")
__SCREAMING_SNAKE_CASE :  int  =						TypeVar("""U""")

class 			lowerCamelCase_			(Generic[T, U]					):
      '''simple docstring'''

      def __init__( self		:       Tuple		,      A		:       T | None		,      A		:       U | None ):
             _UpperCAmelCase  :						int							   =					key
             _UpperCAmelCase  :						Union[str, Any]							   =					val
             _UpperCAmelCase  :						int							   =					0
             _UpperCAmelCase  :						DoubleLinkedListNode[T, U] | None							   =					None
             _UpperCAmelCase  :						DoubleLinkedListNode[T, U] | None							   =					None





      def __repr__( self		:       Any ):
             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 			lowerCamelCase_			(Generic[T, U]					):
      '''simple docstring'''

      def __init__( self		:       Union[str, Any] ):
             _UpperCAmelCase  :						DoubleLinkedListNode[T, U]							   =					DoubleLinkedListNode(A		,      A )
             _UpperCAmelCase  :						DoubleLinkedListNode[T, U]							   =					DoubleLinkedListNode(A		,      A )
             _UpperCAmelCase  :						Optional[int]							   =					self.rear, self.head




      def __repr__( self		:       int ):
             _UpperCAmelCase  :						Tuple							   =					["DoubleLinkedList"]
             _UpperCAmelCase  :						List[Any]							   =					self.head
             while node.next is not None:
                    rep.append(str(A ) )
                    _UpperCAmelCase  :						Tuple							   =					node.next
             rep.append(str(self.rear ) )
             return ",\n    ".join(A )




      def   _A			( self		:       Optional[Any]		,      A		:       DoubleLinkedListNode[T, U] ):
             _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  :						Union[str, Any]							   =					node
             _UpperCAmelCase  :						Dict							   =					previous
             _UpperCAmelCase  :						Any							   =					node
             _UpperCAmelCase  :						Dict							   =					self.rear
             node.freq += 1
             self._position_node(A )




      def   _A			( self		:       Dict		,      A		:       DoubleLinkedListNode[T, U] ):

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

                    _UpperCAmelCase  :						str							   =					previous_node.prev
                    _UpperCAmelCase  :						Optional[Any]							   =					node.prev
                    _UpperCAmelCase  :						Tuple							   =					previous_node
                    _UpperCAmelCase  :						Optional[Any]							   =					node





      def   _A			( self		:       Tuple		,      A		:       DoubleLinkedListNode[T, U] ):

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

             _UpperCAmelCase  :						Dict							   =					node.next
             _UpperCAmelCase  :						int							   =					node.prev
             _UpperCAmelCase  :						Union[str, Any]							   =					None
             _UpperCAmelCase  :						Any							   =					None
             return node

class 			lowerCamelCase_			(Generic[T, U]					):
      '''simple docstring'''

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




      def __init__( self		:       str		,      A		:       int ):
             _UpperCAmelCase  :						DoubleLinkedList[T, U]							   =					DoubleLinkedList()
             _UpperCAmelCase  :						List[Any]							   =					capacity
             _UpperCAmelCase  :						Optional[int]							   =					0
             _UpperCAmelCase  :						Optional[int]							   =					0
             _UpperCAmelCase  :						Tuple							   =					0
             _UpperCAmelCase  :						dict[T, DoubleLinkedListNode[T, U]]							   =					{}




      def __repr__( self		:       Optional[int] ):
             return (
                 F"""CacheInfo(hits={self.hits}, misses={self.miss}, """
                 F"""capacity={self.capacity}, current_size={self.num_keys})"""
             )




      def __contains__( self		:       Tuple		,      A		:       T ):
             return key in self.cache




      def   _A			( self		:       List[Any]		,      A		:       T ):

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




      def   _A			( self		:       Dict		,      A		:       T		,      A		:       U ):

             if key not in self.cache:
                    if self.num_keys >= self.capacity:
                           # delete first node when over capacity
                           _UpperCAmelCase  :						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(A ) is not None
                           # first_node guaranteed to be in list

                           del self.cache[first_node.key]
                           self.num_keys -= 1
                    _UpperCAmelCase  :						str							   =					DoubleLinkedListNode(A		,      A )
                    self.list.add(self.cache[key] )
                    self.num_keys += 1

             else:
                    _UpperCAmelCase  :						Dict							   =					self.list.remove(self.cache[key] )
                    assert node is not None  # node guaranteed to be in list
                    _UpperCAmelCase  :						Dict							   =					value
                    self.list.add(A )





      @classmethod
      def   _A			( cls		:       type[LFUCache[T, U]]		,      A		:       int = 128 ):

             def cache_decorator_inner(A		:       Callable[[T], U] ) -> Callable[..., U]:
                    def cache_decorator_wrapper(*A		:       T ) -> U:
                           if func not in cls.decorator_function_to_instance_map:
                                  _UpperCAmelCase  :						Tuple							   =					LFUCache(A )

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

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

                    setattr(A		,      "cache_info"		,      A )  # 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_flax_available,
    is_tf_available,
    is_torch_available,
)


__SCREAMING_SNAKE_CASE :  Union[str, Any]  =						{
    """configuration_gptsan_japanese""": ["""GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTSanJapaneseConfig"""],
    """tokenization_gptsan_japanese""": ["""GPTSanJapaneseTokenizer"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __SCREAMING_SNAKE_CASE :  Optional[int]  =						[
      """GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """GPTSanJapaneseForConditionalGeneration""",
      """GPTSanJapaneseModel""",
      """GPTSanJapanesePreTrainedModel""",
  ]
  __SCREAMING_SNAKE_CASE :  Union[str, Any]  =						[
      """GPTSanJapaneseTokenizer""",
  ]


if TYPE_CHECKING:
  from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
  from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_gptsan_japanese import (
        GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
        GPTSanJapaneseForConditionalGeneration,
        GPTSanJapaneseModel,
        GPTSanJapanesePreTrainedModel,
    )
    from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
  import sys

  __SCREAMING_SNAKE_CASE :  Union[str, Any]  =						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

