





'''simple docstring'''

from __future__ import annotations

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

lowercase_         =			TypeVar("""T""")
lowercase_         =			TypeVar("""U""")


class  a_					(    Generic[T, U]	):

    '''simple docstring'''


    def __init__(		self			,		A			,		A	)		->       Union[str, Any]:
        _SCREAMING_SNAKE_CASE     =      key
        _SCREAMING_SNAKE_CASE     =      val
        _SCREAMING_SNAKE_CASE     =      0
        _SCREAMING_SNAKE_CASE     =      None
        _SCREAMING_SNAKE_CASE     =      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  a_					(    Generic[T, U]	):

    '''simple docstring'''


    def __init__(		self	)		->       None:
        _SCREAMING_SNAKE_CASE     =      DoubleLinkedListNode(A			,		A	)
        _SCREAMING_SNAKE_CASE     =      DoubleLinkedListNode(A			,		A	)
        _SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE     =      self.rear, self.head


    def __repr__(		self	)		->       str:
        _SCREAMING_SNAKE_CASE     =      ["""DoubleLinkedList"""]
        _SCREAMING_SNAKE_CASE     =      self.head
        while node.next is not None:
            rep.append(str(A	)	)
            _SCREAMING_SNAKE_CASE     =      node.next
        rep.append(str(self.rear	)	)
        return ",\n    ".join(A	)


    def       snake_case_(		self			,		A	)		->       None:
        _SCREAMING_SNAKE_CASE     =      self.rear.prev

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

        _SCREAMING_SNAKE_CASE     =      node
        _SCREAMING_SNAKE_CASE     =      previous
        _SCREAMING_SNAKE_CASE     =      node
        _SCREAMING_SNAKE_CASE     =      self.rear
        node.freq += 1
        self._position_node(A	)


    def       snake_case_(		self			,		A	)		->       None:

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

            _SCREAMING_SNAKE_CASE     =      previous_node.prev
            _SCREAMING_SNAKE_CASE     =      node.prev
            _SCREAMING_SNAKE_CASE     =      previous_node
            _SCREAMING_SNAKE_CASE     =      node





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

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

        _SCREAMING_SNAKE_CASE     =      node.next
        _SCREAMING_SNAKE_CASE     =      node.prev
        _SCREAMING_SNAKE_CASE     =      None
        _SCREAMING_SNAKE_CASE     =      None
        return node




class  a_					(    Generic[T, U]	):

    '''simple docstring'''
    UpperCamelCase			   =			{}


    def __init__(		self			,		A	)		->       Union[str, Any]:
        _SCREAMING_SNAKE_CASE     =      DoubleLinkedList()
        _SCREAMING_SNAKE_CASE     =      capacity
        _SCREAMING_SNAKE_CASE     =      0
        _SCREAMING_SNAKE_CASE     =      0
        _SCREAMING_SNAKE_CASE     =      0
        _SCREAMING_SNAKE_CASE     =      {}


    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			,		A	)		->       bool:
        return key in self.cache


    def       snake_case_(		self			,		A	)		->       U | None:

        if key in self.cache:
            self.hits += 1
            _SCREAMING_SNAKE_CASE     =      self.cache[key]
            _SCREAMING_SNAKE_CASE     =      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       snake_case_(		self			,		A			,		A	)		->       None:

        if key not in self.cache:
            if self.num_keys >= self.capacity:
                # delete first node when over capacity
                _SCREAMING_SNAKE_CASE     =      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
            _SCREAMING_SNAKE_CASE     =      DoubleLinkedListNode(A			,		A	)
            self.list.add(self.cache[key]	)
            self.num_keys += 1

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





    @classmethod
    def       snake_case_(		cls			,		A = 128	)		->       Callable[[Callable[[T], U]], Callable[..., U]]:

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

                _SCREAMING_SNAKE_CASE     =      cls.decorator_function_to_instance_map[func].get(args[0]	)
                if result is None:
                    _SCREAMING_SNAKE_CASE     =      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 collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase_         =			logging.get_logger(__name__)

lowercase_         =			{
    """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/config.json""",
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}


class  a_					(    snake_case_	):

    '''simple docstring'''
    UpperCamelCase			   =			'''rembert'''


    def __init__(		self			,		A=25_0300			,		A=1152			,		A=32			,		A=18			,		A=256			,		A=1664			,		A=4608			,		A="gelu"			,		A=0.0			,		A=0.0			,		A=0.1			,		A=512			,		A=2			,		A=0.02			,		A=1e-12			,		A=True			,		A=0			,		A=312			,		A=313			,		**A			,		)		->       Dict:
        super().__init__(pad_token_id=A			,		bos_token_id=A			,		eos_token_id=A			,		**A	)

        _SCREAMING_SNAKE_CASE     =      vocab_size
        _SCREAMING_SNAKE_CASE     =      input_embedding_size
        _SCREAMING_SNAKE_CASE     =      output_embedding_size
        _SCREAMING_SNAKE_CASE     =      max_position_embeddings
        _SCREAMING_SNAKE_CASE     =      hidden_size
        _SCREAMING_SNAKE_CASE     =      num_hidden_layers
        _SCREAMING_SNAKE_CASE     =      num_attention_heads
        _SCREAMING_SNAKE_CASE     =      intermediate_size
        _SCREAMING_SNAKE_CASE     =      hidden_act
        _SCREAMING_SNAKE_CASE     =      hidden_dropout_prob
        _SCREAMING_SNAKE_CASE     =      attention_probs_dropout_prob
        _SCREAMING_SNAKE_CASE     =      classifier_dropout_prob
        _SCREAMING_SNAKE_CASE     =      initializer_range
        _SCREAMING_SNAKE_CASE     =      type_vocab_size
        _SCREAMING_SNAKE_CASE     =      layer_norm_eps
        _SCREAMING_SNAKE_CASE     =      use_cache
        _SCREAMING_SNAKE_CASE     =      False




class  a_					(    snake_case_	):

    '''simple docstring'''


    @property
    def       snake_case_(		self	)		->       Mapping[str, Mapping[int, str]]:
        if self.task == "multiple-choice":
            _SCREAMING_SNAKE_CASE     =      {0: """batch""", 1: """choice""", 2: """sequence"""}
        else:
            _SCREAMING_SNAKE_CASE     =      {0: """batch""", 1: """sequence"""}
        return OrderedDict(
            [
                ("""input_ids""", dynamic_axis),
                ("""attention_mask""", dynamic_axis),
                ("""token_type_ids""", dynamic_axis),
            ]	)





    @property
    def       snake_case_(		self	)		->       float:
        return 1e-4



