'''simple docstring'''
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 _lowerCAmelCase (  _SCREAMING_SNAKE_CASE				):
      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




'''simple docstring'''
import itertools
from pathlib import Path







def 							__UpperCamelCase   (				__UpperCAmelCase     :				list[str] )       ->  int:
  lowercase							:       List[str]											=      [tuple(__UpperCAmelCase ) for login in logins]

  lowercase							:       List[Any]											=      {char for login in split_logins for char in login}

  for permutation in itertools.permutations(__UpperCAmelCase ):
    lowercase							:       List[str]											=      True
    for login in logins:
      if not (
          permutation.index(login[0] )
          < permutation.index(login[1] )
          < permutation.index(login[2] )
      ):
        lowercase							:       List[str]											=      False
        break

    if satisfied:
      return int(''''''.join(__UpperCAmelCase ) )

  raise Exception('''Unable to find the secret passcode''' )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				str = "keylog.txt" )       ->  int:
  lowercase							:       Union[str, Any]											=      Path(__UpperCAmelCase ).parent.joinpath(__UpperCAmelCase ).read_text().splitlines()

  return find_secret_passcode(__UpperCAmelCase )


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