





'''simple docstring'''




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

__SCREAMING_SNAKE_CASE     :int       =				TypeVar('''KEY''')
__SCREAMING_SNAKE_CASE     :List[Any]       =				TypeVar('''VAL''')







@dataclass(frozen=lowerCAmelCase_							,						slots=lowerCAmelCase_			)
class   A_	(  Generic[KEY, VAL]			):
 _lowerCamelCase  : KEY
 _lowerCamelCase  : VAL







class   A_	(  _Item			):




 def __init__(					self       :    List[Any]    ):
      super().__init__(snake_case_	,			snake_case_    )




 def __bool__(					self       :    List[Any]    ):
      return False





__SCREAMING_SNAKE_CASE     :Dict       =				_DeletedItem()







class   A_	(  MutableMapping[KEY, VAL]			):




 def __init__(					self       :    str	,			snake_case_       :    int = 8	,			snake_case_       :    float = 0.7_5    ):
      _UpperCAmelCase     							=   initial_block_size
      _UpperCAmelCase     							=   [None] * initial_block_size
      assert 0.0 < capacity_factor < 1.0
      _UpperCAmelCase     							=   capacity_factor
      _UpperCAmelCase     							=   0




 def      lowercase	(					self       :    Any	,			snake_case_       :    KEY    ):
      return hash(snake_case_    ) % len(self._buckets    )




 def      lowercase	(					self       :    List[Any]	,			snake_case_       :    int    ):
      return (ind + 1) % len(self._buckets    )




 def      lowercase	(					self       :    Any	,			snake_case_       :    int	,			snake_case_       :    KEY	,			snake_case_       :    VAL    ):
      _UpperCAmelCase     							=   self._buckets[ind]
      if not stored:
           _UpperCAmelCase     							=   _Item(snake_case_	,			snake_case_    )
           self._len += 1
           return True
      elif stored.key == key:
           _UpperCAmelCase     							=   _Item(snake_case_	,			snake_case_    )
           return True
      else:
           return False




 def      lowercase	(					self       :    Optional[Any]    ):
      _UpperCAmelCase     							=   len(self._buckets    ) * self._capacity_factor
      return len(self    ) >= int(snake_case_    )




 def      lowercase	(					self       :    Tuple    ):
      if len(self._buckets    ) <= self._initial_block_size:
           return False
      _UpperCAmelCase     							=   len(self._buckets    ) * self._capacity_factor / 2
      return len(self    ) < limit




 def      lowercase	(					self       :    str	,			snake_case_       :    int    ):
      _UpperCAmelCase     							=   self._buckets
      _UpperCAmelCase     							=   [None] * new_size
      _UpperCAmelCase     							=   0
      for item in old_buckets:
           if item:
                self._add_item(item.key	,			item.val    )




 def      lowercase	(					self       :    Dict    ):
      self._resize(len(self._buckets    ) * 2    )




 def      lowercase	(					self       :    Optional[Any]    ):
      self._resize(len(self._buckets    ) // 2    )




 def      lowercase	(					self       :    List[Any]	,			snake_case_       :    KEY    ):
      _UpperCAmelCase     							=   self._get_bucket_index(snake_case_    )
      for _ in range(len(self._buckets    )    ):
           yield ind
           _UpperCAmelCase     							=   self._get_next_ind(snake_case_    )




 def      lowercase	(					self       :    Optional[int]	,			snake_case_       :    KEY	,			snake_case_       :    VAL    ):
      for ind in self._iterate_buckets(snake_case_    ):
           if self._try_set(snake_case_	,			snake_case_	,			snake_case_    ):
                break




 def __setitem__(					self       :    Tuple	,			snake_case_       :    KEY	,			snake_case_       :    VAL    ):
      if self._is_full():
           self._size_up()

      self._add_item(snake_case_	,			snake_case_    )




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




 def __getitem__(					self       :    Dict	,			snake_case_       :    KEY    ):
      for ind in self._iterate_buckets(snake_case_    ):
           _UpperCAmelCase     							=   self._buckets[ind]
           if item is None:
                break
           if item is _deleted:
                continue
           if item.key == key:
                return item.val
      raise KeyError(snake_case_    )




 def __len__(					self       :    List[Any]    ):
      return self._len




 def __iter__(					self       :    Union[str, Any]    ):
      yield from (item.key for item in self._buckets if item)




 def __repr__(					self       :    Optional[int]    ):
      _UpperCAmelCase     							=   " ,".join(
          f'{item.key}: {item.val}' for item in self._buckets if item    )
      return f'HashMap({val_string})'









'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase									=   {
    '''configuration_lilt''': ['''LILT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LiltConfig'''],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase									=   [
							    '''LILT_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''LiltForQuestionAnswering''',
							    '''LiltForSequenceClassification''',
							    '''LiltForTokenClassification''',
							    '''LiltModel''',
							    '''LiltPreTrainedModel''',
							]

if TYPE_CHECKING:
							from .configuration_lilt import LILT_PRETRAINED_CONFIG_ARCHIVE_MAP, LiltConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_lilt import (
														    LILT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    LiltForQuestionAnswering,
														    LiltForSequenceClassification,
														    LiltForTokenClassification,
														    LiltModel,
														    LiltPreTrainedModel,
														)

else:
							import sys

							__lowerCAmelCase									=   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




