


'''simple docstring'''






from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

__A   :    Union[str, Any]											= TypeVar("KEY")
__A   :    Union[str, Any]											= TypeVar("VAL")






@dataclass(frozen=_SCREAMING_SNAKE_CASE      ,slots=_SCREAMING_SNAKE_CASE)
class   __snake_case			(  Generic[KEY, VAL]):







    """simple docstring"""



    lowercase  					=   42
    lowercase  					=   42







class   __snake_case			(  _Item):







    """simple docstring"""



    def __init__(  self       :    int						)  ->    None:
      super().__init__(lowerCamelCase       ,		lowerCamelCase						)





    def __bool__(  self       :    Tuple						)  ->    bool:
      return False







__A   :    Any											= _DeletedItem()






class   __snake_case			(  MutableMapping[KEY, VAL]):







    """simple docstring"""



    def __init__(  self       :    Optional[int]       ,		lowerCamelCase       :    int = 8       ,		lowerCamelCase       :    float = 0.75						)  ->    None:
      lowerCAmelCase_     : str     =  initial_block_size
      lowerCAmelCase_     : list[_Item | None]     =  [None] * initial_block_size
      assert 0.0 < capacity_factor < 1.0
      lowerCAmelCase_     : Optional[Any]     =  capacity_factor
      lowerCAmelCase_     : List[Any]     =  0

    def __lowercase  (  self       :    List[Any]       ,		lowerCamelCase       :    KEY						)  ->    int:
      return hash(lowerCamelCase						) % len(self._buckets						)

    def __lowercase  (  self       :    Optional[Any]       ,		lowerCamelCase       :    int						)  ->    int:
      return (ind + 1) % len(self._buckets						)

    def __lowercase  (  self       :    Union[str, Any]       ,		lowerCamelCase       :    int       ,		lowerCamelCase       :    KEY       ,		lowerCamelCase       :    VAL						)  ->    bool:
      lowerCAmelCase_     : Union[str, Any]     =  self._buckets[ind]
      if not stored:
        lowerCAmelCase_     : List[Any]     =  _Item(lowerCamelCase       ,		lowerCamelCase						)
        self._len += 1
        return True
      elif stored.key == key:
        lowerCAmelCase_     : List[str]     =  _Item(lowerCamelCase       ,		lowerCamelCase						)
        return True
      else:
        return False

    def __lowercase  (  self       :    Optional[Any]						)  ->    bool:
      lowerCAmelCase_     : str     =  len(self._buckets						) * self._capacity_factor
      return len(self						) >= int(lowerCamelCase						)

    def __lowercase  (  self       :    Dict						)  ->    bool:
      if len(self._buckets						) <= self._initial_block_size:
        return False
      lowerCAmelCase_     : Optional[int]     =  len(self._buckets						) * self._capacity_factor / 2
      return len(self						) < limit

    def __lowercase  (  self       :    Tuple       ,		lowerCamelCase       :    int						)  ->    None:
      lowerCAmelCase_     : Union[str, Any]     =  self._buckets
      lowerCAmelCase_     : str     =  [None] * new_size
      lowerCAmelCase_     : str     =  0
      for item in old_buckets:
        if item:
          self._add_item(item.key       ,		item.val						)

    def __lowercase  (  self       :    Tuple						)  ->    None:
      self._resize(len(self._buckets						) * 2						)

    def __lowercase  (  self       :    Union[str, Any]						)  ->    None:
      self._resize(len(self._buckets						) // 2						)

    def __lowercase  (  self       :    Optional[int]       ,		lowerCamelCase       :    KEY						)  ->    Iterator[int]:
      lowerCAmelCase_     : int     =  self._get_bucket_index(lowerCamelCase						)
      for _ in range(len(self._buckets						)						):
        yield ind
        lowerCAmelCase_     : Dict     =  self._get_next_ind(lowerCamelCase						)

    def __lowercase  (  self       :    Tuple       ,		lowerCamelCase       :    KEY       ,		lowerCamelCase       :    VAL						)  ->    None:
      for ind in self._iterate_buckets(lowerCamelCase						):
        if self._try_set(lowerCamelCase       ,		lowerCamelCase       ,		lowerCamelCase						):
          break

    def __setitem__(  self       :    Tuple       ,		lowerCamelCase       :    KEY       ,		lowerCamelCase       :    VAL						)  ->    None:
      if self._is_full():
        self._size_up()

      self._add_item(lowerCamelCase       ,		lowerCamelCase						)

    def __delitem__(  self       :    Optional[int]       ,		lowerCamelCase       :    KEY						)  ->    None:
      for ind in self._iterate_buckets(lowerCamelCase						):
        lowerCAmelCase_     : int     =  self._buckets[ind]
        if item is None:
          raise KeyError(lowerCamelCase						)
        if item is _deleted:
          continue
        if item.key == key:
          lowerCAmelCase_     : List[Any]     =  _deleted
          self._len -= 1
          break
      if self._is_sparse():
        self._size_down()

    def __getitem__(  self       :    Any       ,		lowerCamelCase       :    KEY						)  ->    VAL:
      for ind in self._iterate_buckets(lowerCamelCase						):
        lowerCAmelCase_     : Dict     =  self._buckets[ind]
        if item is None:
          break
        if item is _deleted:
          continue
        if item.key == key:
          return item.val
      raise KeyError(lowerCamelCase						)

    def __len__(  self       :    Any						)  ->    int:
      return self._len

    def __iter__(  self       :    Optional[Any]						)  ->    Iterator[KEY]:
      yield from (item.key for item in self._buckets if item)





    def __repr__(  self       :    List[Any]						)  ->    str:
      lowerCAmelCase_     : int     =  """ ,""".join(
          F'{item.key}: {item.val}' for item in self._buckets if item						)
      return F'HashMap({val_string})'







'''simple docstring'''






from collections import OrderedDict
from typing import Mapping

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


__A   :    List[Any]											= logging.get_logger(__name__)

__A   :    List[Any]											= {
    "andreasmadsen/efficient_mlm_m0.40": (
        "https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"
    ),
}






class   __snake_case			(  _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase  					=   'roberta-prelayernorm'

    def __init__(  self       :    Tuple       ,		lowerCamelCase       :    Tuple=5_02_65       ,		lowerCamelCase       :    Optional[int]=7_68       ,		lowerCamelCase       :    Optional[int]=12       ,		lowerCamelCase       :    Optional[int]=12       ,		lowerCamelCase       :    int=30_72       ,		lowerCamelCase       :    Optional[int]="gelu"       ,		lowerCamelCase       :    List[str]=0.1       ,		lowerCamelCase       :    Tuple=0.1       ,		lowerCamelCase       :    Optional[int]=5_12       ,		lowerCamelCase       :    Union[str, Any]=2       ,		lowerCamelCase       :    int=0.02       ,		lowerCamelCase       :    Any=1E-12       ,		lowerCamelCase       :    int=1       ,		lowerCamelCase       :    List[Any]=0       ,		lowerCamelCase       :    List[Any]=2       ,		lowerCamelCase       :    Optional[Any]="absolute"       ,		lowerCamelCase       :    List[Any]=True       ,		lowerCamelCase       :    Tuple=None       ,		**lowerCamelCase       :    int       ,		)  ->    Optional[Any]:
      super().__init__(pad_token_id=lowerCamelCase       ,		bos_token_id=lowerCamelCase       ,		eos_token_id=lowerCamelCase       ,		**lowerCamelCase						)

      lowerCAmelCase_     : Dict     =  vocab_size
      lowerCAmelCase_     : str     =  hidden_size
      lowerCAmelCase_     : Dict     =  num_hidden_layers
      lowerCAmelCase_     : List[Any]     =  num_attention_heads
      lowerCAmelCase_     : List[str]     =  hidden_act
      lowerCAmelCase_     : Optional[Any]     =  intermediate_size
      lowerCAmelCase_     : List[str]     =  hidden_dropout_prob
      lowerCAmelCase_     : Tuple     =  attention_probs_dropout_prob
      lowerCAmelCase_     : Optional[int]     =  max_position_embeddings
      lowerCAmelCase_     : List[Any]     =  type_vocab_size
      lowerCAmelCase_     : List[Any]     =  initializer_range
      lowerCAmelCase_     : Union[str, Any]     =  layer_norm_eps
      lowerCAmelCase_     : List[str]     =  position_embedding_type
      lowerCAmelCase_     : Tuple     =  use_cache
      lowerCAmelCase_     : Union[str, Any]     =  classifier_dropout







class   __snake_case			(  _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    @property
    def __lowercase  (  self       :    List[Any]						)  ->    Mapping[str, Mapping[int, str]]:
      if self.task == "multiple-choice":
        lowerCAmelCase_     : Dict     =  {0: """batch""", 1: """choice""", 2: """sequence"""}
      else:
        lowerCAmelCase_     : Optional[int]     =  {0: """batch""", 1: """sequence"""}
      return OrderedDict(
          [
              ("""input_ids""", dynamic_axis),
              ("""attention_mask""", dynamic_axis),
          ]						)



