





"""simple docstring"""


def     UpperCamelCase       (SCREAMING_SNAKE_CASE    ):
						UpperCamelCase							:		str							      = [True for i in range(n + 1    )]
						UpperCamelCase							:		Union[str, Any]							      = [i - 1 for i in range(n + 1    )]
						UpperCamelCase							:		Union[str, Any]							      = []
						for i in range(2       ,    n + 1    ):
												if is_prime[i]:
																		primes.append(SCREAMING_SNAKE_CASE    )
												for j in range(0       ,    len(SCREAMING_SNAKE_CASE    )    ):
																		if i * primes[j] >= n:
																								break
																		UpperCamelCase							:		str							      = False

																		if i % primes[j] == 0:
																								UpperCamelCase							:		int							      = totients[i] * primes[j]
																								break

																		UpperCamelCase							:		Optional[Any]							      = totients[i] * (primes[j] - 1)

						return totients


if __name__ == "__main__":
		import doctest

		doctest.testmod()










"""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__)



