






"""simple docstring"""


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

_UpperCamelCase    :   Any   			=						TypeVar('KEY')
_UpperCamelCase    :   Dict   			=						TypeVar('VAL')






@dataclass(frozen=UpperCAmelCase       ,			slots=UpperCAmelCase	)
class 						snake_case  (  Generic[KEY, VAL]	):
    __magic_name__   					=					42
    __magic_name__   					=					42






class 						snake_case  (  _Item	):





    def __init__(							self     : Any      ):


      '''simple docstring'''




      super().__init__(A    ,		A      )





    def __bool__(							self     : int      ):


      '''simple docstring'''




      return False




_UpperCamelCase    :   Union[str, Any]   			=						_DeletedItem()






class 						snake_case  (  MutableMapping[KEY, VAL]	):





    def __init__(							self     : Optional[Any]    ,		A     : int = 8    ,		A     : float = 0.75      ):


      '''simple docstring'''




      a					:      int    =       initial_block_size
      a					:      list[_Item | None]    =       [None] * initial_block_size
      assert 0.0 < capacity_factor < 1.0
      a					:      List[str]    =       capacity_factor
      a					:      Union[str, Any]    =       0





    def     lowerCamelCase__				(							self     : List[Any]    ,		A     : KEY      ):


      '''simple docstring'''




      return hash(A      ) % len(self._buckets      )





    def     lowerCamelCase__				(							self     : int    ,		A     : int      ):


      '''simple docstring'''




      return (ind + 1) % len(self._buckets      )





    def     lowerCamelCase__				(							self     : Dict    ,		A     : int    ,		A     : KEY    ,		A     : VAL      ):


      '''simple docstring'''




      a					:      Optional[int]    =       self._buckets[ind]
      if not stored:
        a					:      int    =       _Item(A    ,		A      )
        self._len += 1
        return True
      elif stored.key == key:
        a					:      List[str]    =       _Item(A    ,		A      )
        return True
      else:
        return False





    def     lowerCamelCase__				(							self     : Tuple      ):


      '''simple docstring'''




      a					:      Dict    =       len(self._buckets      ) * self._capacity_factor
      return len(self      ) >= int(A      )





    def     lowerCamelCase__				(							self     : str      ):


      '''simple docstring'''




      if len(self._buckets      ) <= self._initial_block_size:
        return False
      a					:      int    =       len(self._buckets      ) * self._capacity_factor / 2
      return len(self      ) < limit





    def     lowerCamelCase__				(							self     : List[str]    ,		A     : int      ):


      '''simple docstring'''




      a					:      Optional[int]    =       self._buckets
      a					:      Optional[Any]    =       [None] * new_size
      a					:      List[Any]    =       0
      for item in old_buckets:
        if item:
          self._add_item(item.key    ,		item.val      )





    def     lowerCamelCase__				(							self     : int      ):


      '''simple docstring'''




      self._resize(len(self._buckets      ) * 2      )





    def     lowerCamelCase__				(							self     : Dict      ):


      '''simple docstring'''




      self._resize(len(self._buckets      ) // 2      )





    def     lowerCamelCase__				(							self     : Any    ,		A     : KEY      ):


      '''simple docstring'''




      a					:      int    =       self._get_bucket_index(A      )
      for _ in range(len(self._buckets      )      ):
        yield ind
        a					:      Optional[int]    =       self._get_next_ind(A      )





    def     lowerCamelCase__				(							self     : List[str]    ,		A     : KEY    ,		A     : VAL      ):


      '''simple docstring'''




      for ind in self._iterate_buckets(A      ):
        if self._try_set(A    ,		A    ,		A      ):
          break





    def __setitem__(							self     : Tuple    ,		A     : KEY    ,		A     : VAL      ):


      '''simple docstring'''




      if self._is_full():
        self._size_up()

      self._add_item(A    ,		A      )





    def __delitem__(							self     : str    ,		A     : KEY      ):


      '''simple docstring'''




      for ind in self._iterate_buckets(A      ):
        a					:      List[Any]    =       self._buckets[ind]
        if item is None:
          raise KeyError(A      )
        if item is _deleted:
          continue
        if item.key == key:
          a					:      Any    =       _deleted
          self._len -= 1
          break
      if self._is_sparse():
        self._size_down()





    def __getitem__(							self     : Union[str, Any]    ,		A     : KEY      ):


      '''simple docstring'''




      for ind in self._iterate_buckets(A      ):
        a					:      Optional[int]    =       self._buckets[ind]
        if item is None:
          break
        if item is _deleted:
          continue
        if item.key == key:
          return item.val
      raise KeyError(A      )





    def __len__(							self     : int      ):


      '''simple docstring'''




      return self._len





    def __iter__(							self     : List[str]      ):


      '''simple docstring'''




      yield from (item.key for item in self._buckets if item)





    def __repr__(							self     : List[Any]      ):


      '''simple docstring'''




      a					:      str    =       ' ,'.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 packaging import version

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


_UpperCamelCase    :   Union[str, Any]   			=						logging.get_logger(__name__)

_UpperCamelCase    :   List[Any]   			=						{
    'microsoft/beit-base-patch16-224-pt22k': (
        'https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}






class 						snake_case  (  UpperCAmelCase	):
    __magic_name__   					=					'''beit'''





    def __init__(							self     : int    ,		A     : int=8_1_9_2    ,		A     : List[Any]=7_6_8    ,		A     : str=1_2    ,		A     : str=1_2    ,		A     : Dict=3_0_7_2    ,		A     : Optional[int]="gelu"    ,		A     : List[Any]=0.0    ,		A     : Union[str, Any]=0.0    ,		A     : Optional[Any]=0.02    ,		A     : Optional[int]=1E-12    ,		A     : Dict=2_2_4    ,		A     : str=1_6    ,		A     : Optional[Any]=3    ,		A     : List[Any]=False    ,		A     : Union[str, Any]=False    ,		A     : Optional[Any]=False    ,		A     : int=False    ,		A     : List[str]=0.1    ,		A     : Union[str, Any]=0.1    ,		A     : str=True    ,		A     : Tuple=[3, 5, 7, 1_1]    ,		A     : List[str]=[1, 2, 3, 6]    ,		A     : Optional[Any]=True    ,		A     : Union[str, Any]=0.4    ,		A     : Any=2_5_6    ,		A     : List[Any]=1    ,		A     : Optional[Any]=False    ,		A     : Any=2_5_5    ,		**A     : List[Any]    ,		):


      '''simple docstring'''




      super().__init__(**A      )

      a					:      Optional[int]    =       vocab_size
      a					:      Dict    =       hidden_size
      a					:      Optional[int]    =       num_hidden_layers
      a					:      Tuple    =       num_attention_heads
      a					:      Optional[int]    =       intermediate_size
      a					:      Optional[Any]    =       hidden_act
      a					:      Optional[int]    =       hidden_dropout_prob
      a					:      Optional[int]    =       attention_probs_dropout_prob
      a					:      Optional[Any]    =       initializer_range
      a					:      Union[str, Any]    =       layer_norm_eps

      a					:      Union[str, Any]    =       image_size
      a					:      str    =       patch_size
      a					:      Optional[Any]    =       num_channels
      a					:      List[str]    =       use_mask_token
      a					:      Optional[Any]    =       use_absolute_position_embeddings
      a					:      Any    =       use_relative_position_bias
      a					:      Any    =       use_shared_relative_position_bias
      a					:      Dict    =       layer_scale_init_value
      a					:      Optional[int]    =       drop_path_rate
      a					:      Dict    =       use_mean_pooling
      # decode head attributes (semantic segmentation)
      a					:      Optional[Any]    =       out_indices
      a					:      List[str]    =       pool_scales
      # auxiliary head attributes (semantic segmentation)
      a					:      Tuple    =       use_auxiliary_head
      a					:      Dict    =       auxiliary_loss_weight
      a					:      Any    =       auxiliary_channels
      a					:      Dict    =       auxiliary_num_convs
      a					:      List[str]    =       auxiliary_concat_input
      a					:      List[Any]    =       semantic_loss_ignore_index






class 						snake_case  (  UpperCAmelCase	):
    __magic_name__   					=					version.parse('''1.11'''	)





    @property
    def     lowerCamelCase__				(							self     : List[str]      ):


      '''simple docstring'''




      return OrderedDict(
          [
              ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
          ]      )





    @property
    def     lowerCamelCase__				(							self     : Optional[Any]      ):


      '''simple docstring'''




      return 1E-4




