





"""simple docstring"""


from typing import TYPE_CHECKING

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


__magic_name__					:				str	=				{"""configuration_levit""": ["""LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LevitConfig""", """LevitOnnxConfig"""]}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__magic_name__					:				Optional[int]	=				["""LevitFeatureExtractor"""]
		__magic_name__					:				Any	=				["""LevitImageProcessor"""]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__magic_name__					:				List[Any]	=				[
		    """LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """LevitForImageClassification""",
		    """LevitForImageClassificationWithTeacher""",
		    """LevitModel""",
		    """LevitPreTrainedModel""",
		]


if TYPE_CHECKING:
		from .configuration_levit import LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, LevitConfig, LevitOnnxConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_levit import LevitFeatureExtractor
				from .image_processing_levit import LevitImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_levit import (
				    LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    LevitForImageClassification,
				    LevitForImageClassificationWithTeacher,
				    LevitModel,
				    LevitPreTrainedModel,
				)
else:
		import sys

		__magic_name__					:				Tuple	=				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










"""simple docstring"""


from __future__ import annotations

def     UpperCamelCase       (SCREAMING_SNAKE_CASE    ):
						UpperCamelCase							:		Tuple							      = [0] * max_one

						for i in range(0       ,    SCREAMING_SNAKE_CASE    ):
												UpperCamelCase							:		Union[str, Any]							      = i

						for i in range(2       ,    SCREAMING_SNAKE_CASE    ):
												if totients[i] == i:
																		for j in range(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE    ):
																								totients[j] -= totients[j] // i

						return totients

def     UpperCamelCase       (SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE    ):
						return sorted(str(SCREAMING_SNAKE_CASE    )    ) == sorted(str(SCREAMING_SNAKE_CASE    )    )

def     UpperCamelCase       (SCREAMING_SNAKE_CASE = 1000_0000    ):
						UpperCamelCase							:		List[str]							      = 1  # i
						UpperCamelCase							:		Optional[int]							      = 0  # φ(i)
						UpperCamelCase							:		List[str]							      = get_totients(max_n + 1    )

						for i in range(2       ,    max_n + 1    ):
												UpperCamelCase							:		Tuple							      = totients[i]

												if i * min_denominator < min_numerator * t and has_same_digits(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE    ):
																		UpperCamelCase							:		str							      = i
																		UpperCamelCase							:		Tuple							      = t

						return min_numerator


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



