





def       SCREAMING_SNAKE_CASE__  (       _lowercase     : int = 600_851_475_143			)   ->							int:




		'''simple docstring'''

		try:
				lowercase__					:      str      =		int(_lowercase			)
		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.'			)
		lowercase__					:      Union[str, Any]      =		1
		lowercase__					:      Optional[Any]      =		2
		while i * i <= n:
				while n % i == 0:
						lowercase__					:      int      =		i
						n //= i
				i += 1
		if n > 1:
				lowercase__					:      int      =		n
		return int(_lowercase			)


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









from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available


@dataclass
class       __lowerCAmelCase					(       _UpperCamelCase      ):


	'''simple docstring'''





	_A													=				42
	_A													=				42


if is_transformers_available() and is_torch_available():
			from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline


