


def     lowerCamelCase( a__ = 6008_5147_5143):

				try:
								_SCREAMING_SNAKE_CASE      	=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.''')
				_SCREAMING_SNAKE_CASE      	=1
				_SCREAMING_SNAKE_CASE      	=2
				while i * i <= n:
								while n % i == 0:
												_SCREAMING_SNAKE_CASE      	=i
												n //= i
								i += 1
				if n > 1:
								_SCREAMING_SNAKE_CASE      	=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


