



from .hash_table import HashTable







class       _snake_case				(     __snake_case ):






   '''simple docstring'''






   def __init__(    self:     str  ,*lowerCamelCase_:     str  ,**lowerCamelCase_:     int							)	->      int:
       super().__init__(*lowerCamelCase_  ,**lowerCamelCase_							)






   def       A__    (    self:     Tuple  ,lowerCamelCase_:     Optional[Any]  ,lowerCamelCase_:     str=None							)	->      str:
       UpperCAmelCase_     :       Optional[Any]  		=					1
       UpperCAmelCase_     :       str  		=					self.hash_function(key + i * i							)

       while self.values[new_key] is not None and self.values[new_key] != key:
           i += 1
           UpperCAmelCase_     :       Union[str, Any]  		=					(
               self.hash_function(key + i * i							)
               if not self.balanced_factor() >= self.lim_charge
               else None
           )

           if new_key is None:
               break

       return new_key


"""simple docstring"""


from typing import TYPE_CHECKING

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


__A					=			{
    'configuration_donut_swin': ['DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DonutSwinConfig'],
    'processing_donut': ['DonutProcessor'],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__A					=			[
			    'DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'DonutSwinModel',
			    'DonutSwinPreTrainedModel',
			]

try:
			if not is_vision_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__A					=			['DonutFeatureExtractor']
			__A					=			['DonutImageProcessor']


if TYPE_CHECKING:
			from .configuration_donut_swin import DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, DonutSwinConfig
			from .processing_donut import DonutProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_donut_swin import (
						    DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    DonutSwinModel,
						    DonutSwinPreTrainedModel,
						)

			try:
						if not is_vision_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .feature_extraction_donut import DonutFeatureExtractor
						from .image_processing_donut import DonutImageProcessor

else:
			import sys

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



