






"""simple docstring"""

from typing import TYPE_CHECKING

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


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

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

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowercase           =							[
			    '''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

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







"""simple docstring"""






import math



def 			A__		(					_UpperCAmelCase    :      int	)							->	bool:

	'''simple docstring'''


	if 1 < number < 4:
		# 2 and 3 are primes
		return True
	elif number < 2 or number % 2 == 0 or number % 3 == 0:
		# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
		return False

	# All primes number are in format of 6k +/- 1
	for i in range(5				,    int(math.sqrt(_UpperCAmelCase	) + 1	)				,    6	):
		if number % i == 0 or number % (i + 2) == 0:
			return False
	return True



def 			A__		(					_UpperCAmelCase    :      int = 60_08_51_47_51_43	)							->	int:

	'''simple docstring'''


	try:
		snake_case__  :						List[Any]		=      int(_UpperCAmelCase	)
	except (TypeError, ValueError):
		raise TypeError("Parameter n must be int or castable to int."	)
	if n <= 0:
		raise ValueError("Parameter n must be greater than or equal to one."	)
	snake_case__  :						int		=      0
	if is_prime(_UpperCAmelCase	):
		return n
	while n % 2 == 0:
		n //= 2
	if is_prime(_UpperCAmelCase	):
		return n
	for i in range(3				,    int(math.sqrt(_UpperCAmelCase	)	) + 1				,    2	):
		if n % i == 0:
			if is_prime(n // i	):
				snake_case__  :						int		=      n // i
				break
			elif is_prime(_UpperCAmelCase	):
				snake_case__  :						List[Any]		=      i
	return max_number


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





