






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

import numpy as np
import PIL

from ...utils import BaseOutput, is_invisible_watermark_available, is_torch_available, is_transformers_available




@dataclass
class 					_UpperCamelCase (      __UpperCAmelCase	):







							'''simple docstring'''
							_A  				=  4_2


if is_transformers_available() and is_torch_available() and is_invisible_watermark_available():
		from .pipeline_stable_diffusion_xl import StableDiffusionXLPipeline
		from .pipeline_stable_diffusion_xl_imgaimg import StableDiffusionXLImgaImgPipeline






import math


def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  float:
						_a     =			math.log(2							,     10				) * number
						_a     =			round((log_number - int(_UpperCAmelCase				))							,     15				)

						return difference


def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase = 678910				)    ->  int:
						_a     =			90
						_a     =			0

						_a     =			math.log(1.23							,     10				)
						_a     =			math.log(1.24							,     10				)
						_a     =			0

						while position < number:
												_a     =			log_difference(_UpperCAmelCase				)

												if difference >= upper_limit:
																		power_iterator += 93

												elif difference < lower_limit:
																		power_iterator += 196

												else:
																		_a     =			power_iterator
																		power_iterator += 196
																		position += 1

						return previous_power


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		print(f"""{solution() = }""")


