code: 
  
  
  def  _lowerCamelCase(			)		->			Any:
  
  						'''simple docstring'''
  
  
  
  
  
  
  
  						__lowercase=    1
  
  						while True:
  												if (
  												    sorted(str(lowercase__			)			)
  												    == sorted(str(2 * i			)			)
  												    == sorted(str(3 * i			)			)
  												    == sorted(str(4 * i			)			)
  												    == sorted(str(5 * i			)			)
  												    == sorted(str(6 * i			)			)
  												):
  																		return i
  
  												i += 1
  
  
  if __name__ == "__main__":
  	print(solution())
  
  
  
  
  
  
  
style_context: 
  
  
  from dataclasses import dataclass
  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
  # Copied from diffusers.pipelines.stable_diffusion.__init__.StableDiffusionPipelineOutput with Stable->Alt
  class    A					(     A_				):
  							UpperCamelCase_     :							Union[List[PIL.Image.Image], np.ndarray]
  							UpperCamelCase_     :							Optional[List[bool]]
  
  
  if is_transformers_available() and is_torch_available():
  	from .modeling_roberta_series import RobertaSeriesModelWithTransformation
  	from .pipeline_alt_diffusion import AltDiffusionPipeline
  	from .pipeline_alt_diffusion_imgaimg import AltDiffusionImgaImgPipeline
  
  
  
  
  
  
  