import itertools
from pathlib import Path






def       __lowerCamelCase		(						lowerCAmelCase__	):
       lowerCAmelCase__     	=					[tuple(lowerCAmelCase__	) for login in logins]

       lowerCAmelCase__     	=					{char for login in split_logins for char in login}

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

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

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






def       __lowerCamelCase		(						lowerCAmelCase__ = "keylog.txt"	):
       lowerCAmelCase__     	=					Path(lowerCAmelCase__	).parent.joinpath(lowerCAmelCase__	).read_text().splitlines()

       return find_secret_passcode(lowerCAmelCase__	)


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

import itertools
from dataclasses import dataclass
from typing import Optional

import pyarrow as pa

import datasets
from datasets.table import table_cast


lowerCAmelCase__							= datasets.utils.logging.get_logger(__name__)
@dataclass
class 				a_ (						datasets.BuilderConfig						):






 '''simple docstring'''






 UpperCAmelCase_	 =					None






class 				a_ (						datasets.ArrowBasedBuilder						):






 '''simple docstring'''






 UpperCAmelCase_	 =					ArrowConfig




 def 		__snake_case						(			self					:  Any):







        '''simple docstring'''



        return datasets.DatasetInfo(features=self.config.features)




 def 		__snake_case						(			self					:  Dict			,    lowercase__					:  str):







        '''simple docstring'''



        if not self.config.data_files:
               raise ValueError(F"""At least one data file must be specified, but got data_files={self.config.data_files}""")
        lowerCAmelCase__     	=					dl_manager.download_and_extract(self.config.data_files)
        if isinstance(lowercase__			,    (str, list, tuple)):
               lowerCAmelCase__     	=					data_files
               if isinstance(lowercase__			,    lowercase__):
                      lowerCAmelCase__     	=					[files]
               # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
               lowerCAmelCase__     	=					[dl_manager.iter_files(lowercase__) for file in files]
               return [datasets.SplitGenerator(name=datasets.Split.TRAIN			,    gen_kwargs={'files': files})]
        lowerCAmelCase__     	=					[]
        for split_name, files in data_files.items():
               if isinstance(lowercase__			,    lowercase__):
                      lowerCAmelCase__     	=					[files]
               # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
               lowerCAmelCase__     	=					[dl_manager.iter_files(lowercase__) for file in files]
               # Infer features is they are stoed in the arrow schema
               if self.info.features is None:
                      for file in itertools.chain.from_iterable(lowercase__):
                             with open(lowercase__			,    'rb') as f:
                                    lowerCAmelCase__     	=					datasets.Features.from_arrow_schema(pa.ipc.open_stream(lowercase__).schema)
                             break
               splits.append(datasets.SplitGenerator(name=lowercase__			,    gen_kwargs={'files': files}))
        return splits




 def 		__snake_case						(			self					:  Dict			,    lowercase__					:  pa.Table):







        '''simple docstring'''



        if self.info.features is not None:
               # more expensive cast to support nested features with keys in a different order
               # allows str <-> int/float or str to Audio for example
               lowerCAmelCase__     	=					table_cast(lowercase__			,    self.info.features.arrow_schema)
        return pa_table




 def 		__snake_case						(			self					:  List[Any]			,    lowercase__					:  str):







        '''simple docstring'''



        for file_idx, file in enumerate(itertools.chain.from_iterable(lowercase__)):
               with open(lowercase__			,    'rb') as f:
                      try:
                             for batch_idx, record_batch in enumerate(pa.ipc.open_stream(lowercase__)):
                                    lowerCAmelCase__     	=					pa.Table.from_batches([record_batch])
                                    # Uncomment for debugging (will print the Arrow table size and elements)
                                    # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
                                    # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
                                    yield F"""{file_idx}_{batch_idx}""", self._cast_table(lowercase__)
                      except ValueError as e:
                             logger.error(F"""Failed to read file '{file}' with error {type(lowercase__)}: {e}""")
                             raise
