
"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_torch_available,
    is_vision_available,
)


UpperCAmelCase__   :					str												=				{'configuration_beit': ['BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BeitConfig', 'BeitOnnxConfig']}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__   :					List[Any]												=				['BeitFeatureExtractor']
					UpperCAmelCase__   :					Optional[Any]												=				['BeitImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__   :					List[str]												=				[
					    'BEIT_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'BeitForImageClassification',
					    'BeitForMaskedImageModeling',
					    'BeitForSemanticSegmentation',
					    'BeitModel',
					    'BeitPreTrainedModel',
					]


try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__   :					str												=				[
					    'FlaxBeitForImageClassification',
					    'FlaxBeitForMaskedImageModeling',
					    'FlaxBeitModel',
					    'FlaxBeitPreTrainedModel',
					]

if TYPE_CHECKING:
					from .configuration_beit import BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BeitConfig, BeitOnnxConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_beit import BeitFeatureExtractor
										from .image_processing_beit import BeitImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_beit import (
										    BEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    BeitForImageClassification,
										    BeitForMaskedImageModeling,
										    BeitForSemanticSegmentation,
										    BeitModel,
										    BeitPreTrainedModel,
										)

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_beit import (
										    FlaxBeitForImageClassification,
										    FlaxBeitForMaskedImageModeling,
										    FlaxBeitModel,
										    FlaxBeitPreTrainedModel,
										)


else:
					import sys

					UpperCAmelCase__   :					Union[str, Any]												=				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






"""simple docstring"""




def lowercase_						(     _snake_case		):
							if divisor % 5 == 0 or divisor % 2 == 0:
														return 0
							SCREAMING_SNAKE_CASE__		: List[str]     =     1
							SCREAMING_SNAKE_CASE__		: List[Any]     =     1
							while repunit:
														SCREAMING_SNAKE_CASE__		: Dict     =     (10 * repunit + 1) % divisor
														repunit_index += 1
							return repunit_index

def lowercase_						(     _snake_case = 1_000_000		):
							SCREAMING_SNAKE_CASE__		: int     =     limit - 1
							if divisor % 2 == 0:
														divisor += 1
							while least_divisible_repunit(_snake_case		) <= limit:
														divisor += 2
							return divisor


if __name__ == "__main__":
					print(f"""{solution() = }""")




