
from typing import TYPE_CHECKING

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


_A							=       {'''configuration_vilt''': ['''VILT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViltConfig''']}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _A							=       ['''ViltFeatureExtractor''']
      _A							=       ['''ViltImageProcessor''']
      _A							=       ['''ViltProcessor''']

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _A							=       [
          '''VILT_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ViltForImageAndTextRetrieval''',
          '''ViltForImagesAndTextClassification''',
          '''ViltForTokenClassification''',
          '''ViltForMaskedLM''',
          '''ViltForQuestionAnswering''',
          '''ViltLayer''',
          '''ViltModel''',
          '''ViltPreTrainedModel''',
      ]


if TYPE_CHECKING:
      from .configuration_vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_vilt import ViltFeatureExtractor
            from .image_processing_vilt import ViltImageProcessor
            from .processing_vilt import ViltProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_vilt import (
                VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
                ViltForImageAndTextRetrieval,
                ViltForImagesAndTextClassification,
                ViltForMaskedLM,
                ViltForQuestionAnswering,
                ViltForTokenClassification,
                ViltLayer,
                ViltModel,
                ViltPreTrainedModel,
            )


else:
      import sys

      _A							=       _LazyModule(__name__, globals()['''__file__'''], _import_structure)





"""simple docstring"""




def __snake_case (      UpperCamelCase = 10**6    )       ->    int:


		"""simple docstring"""





		if n <= 0:
				raise ValueError('''Please enter an integer greater than 0'''    )

		a__   		=     list(range(n + 1    )    )
		for number in range(2						,					n + 1    ):
				if phi[number] == number:
						phi[number] -= 1
						for multiple in range(number * 2						,					n + 1						,					UpperCamelCase    ):
								a__   		=     (phi[multiple] // number) * (number - 1)

		a__   		=     1
		for number in range(1						,					n + 1    ):
				if (answer / phi[answer]) < (number / phi[number]):
						a__   		=     number

		return answer


if __name__ == "__main__":
					print(solution())




