"""simple docstring"""





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

lowerCAmelCase_     =	TypeVar('''KEY''')
lowerCAmelCase_     =	TypeVar('''VAL''')




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







				"""simple docstring"""






				a			=						42
				a			=						42




class  _snake_case		(    _Item ):







				"""simple docstring"""






				def __init__(      self							:							Any):



											"""simple docstring"""







											super().__init__(_A      ,    _A)





				def __bool__(      self							:							Any):



											"""simple docstring"""







											return False


lowerCAmelCase_     =	_DeletedItem()




class  _snake_case		(    MutableMapping[KEY, VAL] ):







				"""simple docstring"""






				def __init__(      self							:							Dict      ,    _A							:							int = 8      ,    _A							:							float = 0.75):



											"""simple docstring"""







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





				def 		_lowerCAmelCase		(      self							:							Union[str, Any]      ,    _A							:							KEY):



											"""simple docstring"""







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





				def 		_lowerCAmelCase		(      self							:							List[Any]      ,    _A							:							int):



											"""simple docstring"""







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





				def 		_lowerCAmelCase		(      self							:							List[str]      ,    _A							:							int      ,    _A							:							KEY      ,    _A							:							VAL):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						Dict			  =    self._buckets[ind]
											if not stored:
																		_SCREAMING_SNAKE_CASE		:						str			  =    _Item(_A      ,    _A)
																		self._len += 1
																		return True
											elif stored.key == key:
																		_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    _Item(_A      ,    _A)
																		return True
											else:
																		return False





				def 		_lowerCAmelCase		(      self							:							Union[str, Any]):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						str			  =    len(self._buckets) * self._capacity_factor
											return len(self) >= int(_A)





				def 		_lowerCAmelCase		(      self							:							List[Any]):



											"""simple docstring"""







											if len(self._buckets) <= self._initial_block_size:
																		return False
											_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    len(self._buckets) * self._capacity_factor / 2
											return len(self) < limit





				def 		_lowerCAmelCase		(      self							:							Optional[Any]      ,    _A							:							int):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						Tuple			  =    self._buckets
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    [None] * new_size
											_SCREAMING_SNAKE_CASE		:						Tuple			  =    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							:							Optional[int]):



											"""simple docstring"""







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





				def 		_lowerCAmelCase		(      self							:							Optional[Any]      ,    _A							:							KEY):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						Any			  =    self._get_bucket_index(_A)
											for _ in range(len(self._buckets)):
																		yield ind
																		_SCREAMING_SNAKE_CASE		:						Any			  =    self._get_next_ind(_A)





				def 		_lowerCAmelCase		(      self							:							List[Any]      ,    _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							:							Optional[Any]      ,    _A							:							KEY):



											"""simple docstring"""







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





				def __getitem__(      self							:							Any      ,    _A							:							KEY):



											"""simple docstring"""







											for ind in self._iterate_buckets(_A):
																		_SCREAMING_SNAKE_CASE		:						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							:							List[Any]):



											"""simple docstring"""







											return self._len





				def __iter__(      self							:							str):



											"""simple docstring"""







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





				def __repr__(      self							:							Dict):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    """ ,""".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_clipseg''': [
        '''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''CLIPSegConfig''',
        '''CLIPSegTextConfig''',
        '''CLIPSegVisionConfig''',
    ],
    '''processing_clipseg''': ['''CLIPSegProcessor'''],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase_     =	[
			    '''CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''CLIPSegModel''',
			    '''CLIPSegPreTrainedModel''',
			    '''CLIPSegTextModel''',
			    '''CLIPSegVisionModel''',
			    '''CLIPSegForImageSegmentation''',
			]

if TYPE_CHECKING:
			from .configuration_clipseg import (
			    CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    CLIPSegConfig,
			    CLIPSegTextConfig,
			    CLIPSegVisionConfig,
			)
			from .processing_clipseg import CLIPSegProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_clipseg import (
						    CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
						    CLIPSegForImageSegmentation,
						    CLIPSegModel,
						    CLIPSegPreTrainedModel,
						    CLIPSegTextModel,
						    CLIPSegVisionModel,
						)

else:
			import sys

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


