from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


A_      =      {
    'configuration_chinese_clip': [
        'CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ChineseCLIPConfig',
        'ChineseCLIPOnnxConfig',
        'ChineseCLIPTextConfig',
        'ChineseCLIPVisionConfig',
    ],
    'processing_chinese_clip': ['ChineseCLIPProcessor'],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A_      =      ['ChineseCLIPFeatureExtractor']
						A_      =      ['ChineseCLIPImageProcessor']

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A_      =      [
						    'CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'ChineseCLIPModel',
						    'ChineseCLIPPreTrainedModel',
						    'ChineseCLIPTextModel',
						    'ChineseCLIPVisionModel',
						]

if TYPE_CHECKING:
						from .configuration_chinese_clip import (
						    CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    ChineseCLIPConfig,
						    ChineseCLIPOnnxConfig,
						    ChineseCLIPTextConfig,
						    ChineseCLIPVisionConfig,
						)
						from .processing_chinese_clip import ChineseCLIPProcessor

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_chinese_clip import ChineseCLIPFeatureExtractor, ChineseCLIPImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_chinese_clip import (
												    CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ChineseCLIPModel,
												    ChineseCLIPPreTrainedModel,
												    ChineseCLIPTextModel,
												    ChineseCLIPVisionModel,
												)

else:
						import sys

						A_      =      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






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

A_      =      TypeVar("KEY")
A_      =      TypeVar("VAL")






@dataclass(frozen=_A       ,     slots=_A    )
class      __lowercase					(    Generic[KEY, VAL]    ):
						lowercase					 =     42
						lowercase					 =     42






class      __lowercase					(    _Item    ):

						def __init__(	self				:      Optional[int]   )							->		None:


									'''simple docstring'''

									super().__init__(__lowerCamelCase							,							__lowerCamelCase   )



						def __bool__(	self				:      str   )							->		bool:


									'''simple docstring'''

									return False





A_      =      _DeletedItem()






class      __lowercase					(    MutableMapping[KEY, VAL]    ):

						def __init__(	self				:      Any							,							__lowerCamelCase				:      int = 8							,							__lowerCamelCase				:      float = 0.75   )							->		None:


									'''simple docstring'''

									lowercase							=		initial_block_size
									lowercase							=		[None] * initial_block_size
									assert 0.0 < capacity_factor < 1.0
									lowercase							=		capacity_factor
									lowercase							=		0

						def        __a		(	self				:      Optional[Any]							,							__lowerCamelCase				:      KEY   )							->		int:


									'''simple docstring'''

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

						def        __a		(	self				:      List[Any]							,							__lowerCamelCase				:      int   )							->		int:


									'''simple docstring'''

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

						def        __a		(	self				:      Optional[Any]							,							__lowerCamelCase				:      int							,							__lowerCamelCase				:      KEY							,							__lowerCamelCase				:      VAL   )							->		bool:


									'''simple docstring'''

									lowercase							=		self._buckets[ind]
									if not stored:
												lowercase							=		_Item(__lowerCamelCase							,							__lowerCamelCase   )
												self._len += 1
												return True
									elif stored.key == key:
												lowercase							=		_Item(__lowerCamelCase							,							__lowerCamelCase   )
												return True
									else:
												return False

						def        __a		(	self				:      Optional[Any]   )							->		bool:


									'''simple docstring'''

									lowercase							=		len(self._buckets   ) * self._capacity_factor
									return len(self   ) >= int(__lowerCamelCase   )

						def        __a		(	self				:      Tuple   )							->		bool:


									'''simple docstring'''

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

						def        __a		(	self				:      Optional[Any]							,							__lowerCamelCase				:      int   )							->		None:


									'''simple docstring'''

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

						def        __a		(	self				:      List[str]   )							->		None:


									'''simple docstring'''

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

						def        __a		(	self				:      Any   )							->		None:


									'''simple docstring'''

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

						def        __a		(	self				:      Optional[int]							,							__lowerCamelCase				:      KEY   )							->		Iterator[int]:


									'''simple docstring'''

									lowercase							=		self._get_bucket_index(__lowerCamelCase   )
									for _ in range(len(self._buckets   )   ):
												yield ind
												lowercase							=		self._get_next_ind(__lowerCamelCase   )

						def        __a		(	self				:      Optional[int]							,							__lowerCamelCase				:      KEY							,							__lowerCamelCase				:      VAL   )							->		None:


									'''simple docstring'''

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

						def __setitem__(	self				:      Optional[int]							,							__lowerCamelCase				:      KEY							,							__lowerCamelCase				:      VAL   )							->		None:


									'''simple docstring'''

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

									self._add_item(__lowerCamelCase							,							__lowerCamelCase   )

						def __delitem__(	self				:      List[str]							,							__lowerCamelCase				:      KEY   )							->		None:


									'''simple docstring'''

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

						def __getitem__(	self				:      Any							,							__lowerCamelCase				:      KEY   )							->		VAL:


									'''simple docstring'''

									for ind in self._iterate_buckets(__lowerCamelCase   ):
												lowercase							=		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				:      str   )							->		int:


									'''simple docstring'''

									return self._len

						def __iter__(	self				:      Union[str, Any]   )							->		Iterator[KEY]:


									'''simple docstring'''

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



						def __repr__(	self				:      Any   )							->		str:


									'''simple docstring'''

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





