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

__lowerCAmelCase :Tuple     =    TypeVar('KEY')
__lowerCAmelCase :Dict     =    TypeVar('VAL')






@dataclass(frozen=__A	,   slots=__A    )
class        _a(    Generic[KEY, VAL]    ):
		lowerCamelCase__     :KEY
		lowerCamelCase__     :VAL






class        _a(    _Item    ):







		def __init__(    self				)      ->      None:


							'''simple docstring'''

							super().__init__(__snake_case ,						__snake_case				)







		def __bool__(    self				)      ->      bool:


							'''simple docstring'''

							return False






__lowerCAmelCase :Optional[int]     =    _DeletedItem()






class        _a(    MutableMapping[KEY, VAL]    ):







		def __init__(    self ,						__snake_case = 8 ,						__snake_case = 0.75				)      ->      None:


							'''simple docstring'''

							_snake_case       :					Tuple				       =   initial_block_size
							_snake_case       :					list[_Item | None]				       =   [None] * initial_block_size
							assert 0.0 < capacity_factor < 1.0
							_snake_case       :					Optional[int]				       =   capacity_factor
							_snake_case       :					List[str]				       =   0







		def        lowercase       (    self ,						__snake_case				)      ->      int:


							'''simple docstring'''

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







		def        lowercase       (    self ,						__snake_case				)      ->      int:


							'''simple docstring'''

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







		def        lowercase       (    self ,						__snake_case ,						__snake_case ,						__snake_case				)      ->      bool:


							'''simple docstring'''

							_snake_case       :					List[str]				       =   self._buckets[ind]
							if not stored:
												_snake_case       :					Any				       =   _Item(__snake_case ,						__snake_case				)
												self._len += 1
												return True
							elif stored.key == key:
												_snake_case       :					List[str]				       =   _Item(__snake_case ,						__snake_case				)
												return True
							else:
												return False







		def        lowercase       (    self				)      ->      bool:


							'''simple docstring'''

							_snake_case       :					Dict				       =   len(self._buckets				) * self._capacity_factor
							return len(self				) >= int(__snake_case				)







		def        lowercase       (    self				)      ->      bool:


							'''simple docstring'''

							if len(self._buckets				) <= self._initial_block_size:
												return False
							_snake_case       :					List[str]				       =   len(self._buckets				) * self._capacity_factor / 2
							return len(self				) < limit







		def        lowercase       (    self ,						__snake_case				)      ->      None:


							'''simple docstring'''

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







		def        lowercase       (    self				)      ->      None:


							'''simple docstring'''

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







		def        lowercase       (    self				)      ->      None:


							'''simple docstring'''

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







		def        lowercase       (    self ,						__snake_case				)      ->      Iterator[int]:


							'''simple docstring'''

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







		def        lowercase       (    self ,						__snake_case ,						__snake_case				)      ->      None:


							'''simple docstring'''

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







		def __setitem__(    self ,						__snake_case ,						__snake_case				)      ->      None:


							'''simple docstring'''

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

							self._add_item(__snake_case ,						__snake_case				)







		def __delitem__(    self ,						__snake_case				)      ->      None:


							'''simple docstring'''

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







		def __getitem__(    self ,						__snake_case				)      ->      VAL:


							'''simple docstring'''

							for ind in self._iterate_buckets(__snake_case				):
												_snake_case       :					Optional[Any]				       =   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				)      ->      int:


							'''simple docstring'''

							return self._len







		def __iter__(    self				)      ->      Iterator[KEY]:


							'''simple docstring'''

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







		def __repr__(    self				)      ->      str:


							'''simple docstring'''

							_snake_case       :					int				       =   " ,".join(
							    f"""{item.key}: {item.val}""" for item in self._buckets if item				)
							return f"""HashMap({val_string})"""






import warnings

from ...utils import logging
from .image_processing_videomae import VideoMAEImageProcessor


__lowerCAmelCase :str     =    logging.get_logger(__name__)






class        _a(    __A    ):







		def __init__(    self ,						*__snake_case ,						**__snake_case				)      ->      None:


							'''simple docstring'''

							warnings.warn(
							    "The class VideoMAEFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
							    " Please use VideoMAEImageProcessor instead." ,						__snake_case ,						)
							super().__init__(*__snake_case ,						**__snake_case				)