'''simple docstring'''


import itertools
from pathlib import Path


def    _lowerCamelCase       ( lowerCamelCase_   :				list[str]  ):



     """simple docstring"""





     UpperCAmelCase_				:  Any  = [tuple(lowerCamelCase_  ) for login in logins]

     UpperCAmelCase_				:  List[str]  = {char for login in split_logins for char in login}

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

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

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


def    _lowerCamelCase       ( lowerCamelCase_   :				str = "keylog.txt"  ):



     """simple docstring"""





     UpperCAmelCase_				:  Optional[Any]  = Path(lowerCamelCase_  ).parent.joinpath(lowerCamelCase_  ).read_text().splitlines()

     return find_secret_passcode(lowerCamelCase_  )


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












from typing import TYPE_CHECKING

from ..utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_tf_available, is_torch_available


__a			:	List[Any]							     =		{
    """configuration_utils""": ["""GenerationConfig"""],
    """streamers""": ["""TextIteratorStreamer""", """TextStreamer"""],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__a			:	Dict							     =		[
				    """Constraint""",
				    """ConstraintListState""",
				    """DisjunctiveConstraint""",
				    """PhrasalConstraint""",
				]
				__a			:	int							     =		[
				    """BeamHypotheses""",
				    """BeamScorer""",
				    """BeamSearchScorer""",
				    """ConstrainedBeamSearchScorer""",
				]
				__a			:	List[Any]							     =		[
				    """EpsilonLogitsWarper""",
				    """EtaLogitsWarper""",
				    """ForcedBOSTokenLogitsProcessor""",
				    """ForcedEOSTokenLogitsProcessor""",
				    """HammingDiversityLogitsProcessor""",
				    """InfNanRemoveLogitsProcessor""",
				    """LogitsProcessor""",
				    """LogitsProcessorList""",
				    """LogitsWarper""",
				    """MinLengthLogitsProcessor""",
				    """MinNewTokensLengthLogitsProcessor""",
				    """NoBadWordsLogitsProcessor""",
				    """NoRepeatNGramLogitsProcessor""",
				    """PrefixConstrainedLogitsProcessor""",
				    """RepetitionPenaltyLogitsProcessor""",
				    """SequenceBiasLogitsProcessor""",
				    """EncoderRepetitionPenaltyLogitsProcessor""",
				    """TemperatureLogitsWarper""",
				    """TopKLogitsWarper""",
				    """TopPLogitsWarper""",
				    """TypicalLogitsWarper""",
				    """EncoderNoRepeatNGramLogitsProcessor""",
				    """ExponentialDecayLengthPenalty""",
				    """LogitNormalization""",
				]
				__a			:	Any							     =		[
				    """MaxNewTokensCriteria""",
				    """MaxLengthCriteria""",
				    """MaxTimeCriteria""",
				    """StoppingCriteria""",
				    """StoppingCriteriaList""",
				    """validate_stopping_criteria""",
				]
				__a			:	str							     =		[
				    """GenerationMixin""",
				    """top_k_top_p_filtering""",
				    """GreedySearchEncoderDecoderOutput""",
				    """GreedySearchDecoderOnlyOutput""",
				    """SampleEncoderDecoderOutput""",
				    """SampleDecoderOnlyOutput""",
				    """BeamSearchEncoderDecoderOutput""",
				    """BeamSearchDecoderOnlyOutput""",
				    """BeamSampleEncoderDecoderOutput""",
				    """BeamSampleDecoderOnlyOutput""",
				    """ContrastiveSearchEncoderDecoderOutput""",
				    """ContrastiveSearchDecoderOnlyOutput""",
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__a			:	List[Any]							     =		[
				    """TFForcedBOSTokenLogitsProcessor""",
				    """TFForcedEOSTokenLogitsProcessor""",
				    """TFLogitsProcessor""",
				    """TFLogitsProcessorList""",
				    """TFLogitsWarper""",
				    """TFMinLengthLogitsProcessor""",
				    """TFNoBadWordsLogitsProcessor""",
				    """TFNoRepeatNGramLogitsProcessor""",
				    """TFRepetitionPenaltyLogitsProcessor""",
				    """TFTemperatureLogitsWarper""",
				    """TFTopKLogitsWarper""",
				    """TFTopPLogitsWarper""",
				    """TFForceTokensLogitsProcessor""",
				    """TFSuppressTokensAtBeginLogitsProcessor""",
				    """TFSuppressTokensLogitsProcessor""",
				]
				__a			:	Any							     =		[
				    """TFGenerationMixin""",
				    """tf_top_k_top_p_filtering""",
				    """TFGreedySearchDecoderOnlyOutput""",
				    """TFGreedySearchEncoderDecoderOutput""",
				    """TFSampleEncoderDecoderOutput""",
				    """TFSampleDecoderOnlyOutput""",
				    """TFBeamSearchEncoderDecoderOutput""",
				    """TFBeamSearchDecoderOnlyOutput""",
				    """TFBeamSampleEncoderDecoderOutput""",
				    """TFBeamSampleDecoderOnlyOutput""",
				    """TFContrastiveSearchEncoderDecoderOutput""",
				    """TFContrastiveSearchDecoderOnlyOutput""",
				]

try:
				if not is_flax_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__a			:	str							     =		[
				    """FlaxForcedBOSTokenLogitsProcessor""",
				    """FlaxForcedEOSTokenLogitsProcessor""",
				    """FlaxLogitsProcessor""",
				    """FlaxLogitsProcessorList""",
				    """FlaxLogitsWarper""",
				    """FlaxMinLengthLogitsProcessor""",
				    """FlaxTemperatureLogitsWarper""",
				    """FlaxTopKLogitsWarper""",
				    """FlaxTopPLogitsWarper""",
				]
				__a			:	Tuple							     =		[
				    """FlaxGenerationMixin""",
				    """FlaxGreedySearchOutput""",
				    """FlaxSampleOutput""",
				    """FlaxBeamSearchOutput""",
				]

if TYPE_CHECKING:
				from .configuration_utils import GenerationConfig
				from .streamers import TextIteratorStreamer, TextStreamer

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .beam_constraints import Constraint, ConstraintListState, DisjunctiveConstraint, PhrasalConstraint
								from .beam_search import BeamHypotheses, BeamScorer, BeamSearchScorer, ConstrainedBeamSearchScorer
								from .logits_process import (
								    EncoderNoRepeatNGramLogitsProcessor,
								    EncoderRepetitionPenaltyLogitsProcessor,
								    EpsilonLogitsWarper,
								    EtaLogitsWarper,
								    ExponentialDecayLengthPenalty,
								    ForcedBOSTokenLogitsProcessor,
								    ForcedEOSTokenLogitsProcessor,
								    HammingDiversityLogitsProcessor,
								    InfNanRemoveLogitsProcessor,
								    LogitNormalization,
								    LogitsProcessor,
								    LogitsProcessorList,
								    LogitsWarper,
								    MinLengthLogitsProcessor,
								    MinNewTokensLengthLogitsProcessor,
								    NoBadWordsLogitsProcessor,
								    NoRepeatNGramLogitsProcessor,
								    PrefixConstrainedLogitsProcessor,
								    RepetitionPenaltyLogitsProcessor,
								    SequenceBiasLogitsProcessor,
								    TemperatureLogitsWarper,
								    TopKLogitsWarper,
								    TopPLogitsWarper,
								    TypicalLogitsWarper,
								)
								from .stopping_criteria import (
								    MaxLengthCriteria,
								    MaxNewTokensCriteria,
								    MaxTimeCriteria,
								    StoppingCriteria,
								    StoppingCriteriaList,
								    validate_stopping_criteria,
								)
								from .utils import (
								    BeamSampleDecoderOnlyOutput,
								    BeamSampleEncoderDecoderOutput,
								    BeamSearchDecoderOnlyOutput,
								    BeamSearchEncoderDecoderOutput,
								    ContrastiveSearchDecoderOnlyOutput,
								    ContrastiveSearchEncoderDecoderOutput,
								    GenerationMixin,
								    GreedySearchDecoderOnlyOutput,
								    GreedySearchEncoderDecoderOutput,
								    SampleDecoderOnlyOutput,
								    SampleEncoderDecoderOutput,
								    top_k_top_p_filtering,
								)

				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tf_logits_process import (
								    TFForcedBOSTokenLogitsProcessor,
								    TFForcedEOSTokenLogitsProcessor,
								    TFForceTokensLogitsProcessor,
								    TFLogitsProcessor,
								    TFLogitsProcessorList,
								    TFLogitsWarper,
								    TFMinLengthLogitsProcessor,
								    TFNoBadWordsLogitsProcessor,
								    TFNoRepeatNGramLogitsProcessor,
								    TFRepetitionPenaltyLogitsProcessor,
								    TFSuppressTokensAtBeginLogitsProcessor,
								    TFSuppressTokensLogitsProcessor,
								    TFTemperatureLogitsWarper,
								    TFTopKLogitsWarper,
								    TFTopPLogitsWarper,
								)
								from .tf_utils import (
								    TFBeamSampleDecoderOnlyOutput,
								    TFBeamSampleEncoderDecoderOutput,
								    TFBeamSearchDecoderOnlyOutput,
								    TFBeamSearchEncoderDecoderOutput,
								    TFContrastiveSearchDecoderOnlyOutput,
								    TFContrastiveSearchEncoderDecoderOutput,
								    TFGenerationMixin,
								    TFGreedySearchDecoderOnlyOutput,
								    TFGreedySearchEncoderDecoderOutput,
								    TFSampleDecoderOnlyOutput,
								    TFSampleEncoderDecoderOutput,
								    tf_top_k_top_p_filtering,
								)

				try:
								if not is_flax_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .flax_logits_process import (
								    FlaxForcedBOSTokenLogitsProcessor,
								    FlaxForcedEOSTokenLogitsProcessor,
								    FlaxLogitsProcessor,
								    FlaxLogitsProcessorList,
								    FlaxLogitsWarper,
								    FlaxMinLengthLogitsProcessor,
								    FlaxTemperatureLogitsWarper,
								    FlaxTopKLogitsWarper,
								    FlaxTopPLogitsWarper,
								)
								from .flax_utils import FlaxBeamSearchOutput, FlaxGenerationMixin, FlaxGreedySearchOutput, FlaxSampleOutput
else:
				import sys

				__a			:	List[Any]							     =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
