


from typing import TYPE_CHECKING

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


_snake_case					=					{
    '''configuration_utils''': ['''GenerationConfig'''],
    '''streamers''': ['''TextIteratorStreamer''', '''TextStreamer'''],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _snake_case					=					[
     '''Constraint''',
     '''ConstraintListState''',
     '''DisjunctiveConstraint''',
     '''PhrasalConstraint''',
 ]
 _snake_case					=					[
     '''BeamHypotheses''',
     '''BeamScorer''',
     '''BeamSearchScorer''',
     '''ConstrainedBeamSearchScorer''',
 ]
 _snake_case					=					[
     '''EpsilonLogitsWarper''',
     '''EtaLogitsWarper''',
     '''ForcedBOSTokenLogitsProcessor''',
     '''ForcedEOSTokenLogitsProcessor''',
     '''HammingDiversityLogitsProcessor''',
     '''InfNanRemoveLogitsProcessor''',
     '''LogitsProcessor''',
     '''LogitsProcessorList''',
     '''LogitsWarper''',
     '''MinLengthLogitsProcessor''',
     '''MinNewTokensLengthLogitsProcessor''',
     '''NoBadWordsLogitsProcessor''',
     '''NoRepeatNGramLogitsProcessor''',
     '''PrefixConstrainedLogitsProcessor''',
     '''RepetitionPenaltyLogitsProcessor''',
     '''SequenceBiasLogitsProcessor''',
     '''EncoderRepetitionPenaltyLogitsProcessor''',
     '''TemperatureLogitsWarper''',
     '''TopKLogitsWarper''',
     '''TopPLogitsWarper''',
     '''TypicalLogitsWarper''',
     '''EncoderNoRepeatNGramLogitsProcessor''',
     '''ExponentialDecayLengthPenalty''',
     '''LogitNormalization''',
 ]
 _snake_case					=					[
     '''MaxNewTokensCriteria''',
     '''MaxLengthCriteria''',
     '''MaxTimeCriteria''',
     '''StoppingCriteria''',
     '''StoppingCriteriaList''',
     '''validate_stopping_criteria''',
 ]
 _snake_case					=					[
     '''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:
 _snake_case					=					[
     '''TFForcedBOSTokenLogitsProcessor''',
     '''TFForcedEOSTokenLogitsProcessor''',
     '''TFLogitsProcessor''',
     '''TFLogitsProcessorList''',
     '''TFLogitsWarper''',
     '''TFMinLengthLogitsProcessor''',
     '''TFNoBadWordsLogitsProcessor''',
     '''TFNoRepeatNGramLogitsProcessor''',
     '''TFRepetitionPenaltyLogitsProcessor''',
     '''TFTemperatureLogitsWarper''',
     '''TFTopKLogitsWarper''',
     '''TFTopPLogitsWarper''',
     '''TFForceTokensLogitsProcessor''',
     '''TFSuppressTokensAtBeginLogitsProcessor''',
     '''TFSuppressTokensLogitsProcessor''',
 ]
 _snake_case					=					[
     '''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:
 _snake_case					=					[
     '''FlaxForcedBOSTokenLogitsProcessor''',
     '''FlaxForcedEOSTokenLogitsProcessor''',
     '''FlaxLogitsProcessor''',
     '''FlaxLogitsProcessorList''',
     '''FlaxLogitsWarper''',
     '''FlaxMinLengthLogitsProcessor''',
     '''FlaxTemperatureLogitsWarper''',
     '''FlaxTopKLogitsWarper''',
     '''FlaxTopPLogitsWarper''',
 ]
 _snake_case					=					[
     '''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

 _snake_case					=					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)







def 		lowercase_(  SCREAMING_SNAKE_CASE_     ):


  '''simple docstring'''

  if number != int(SCREAMING_SNAKE_CASE_     ):
    raise ValueError("factorial() only accepts integral values"     )
  if number < 0:
    raise ValueError("factorial() not defined for negative values"     )
  lowerCamelCase			: Optional[Any]   =    1
  for i in range(1				,						number + 1     ):
    value *= i
  return value






def 		lowercase_(  SCREAMING_SNAKE_CASE_     ):


  '''simple docstring'''

  if not isinstance(SCREAMING_SNAKE_CASE_				,						SCREAMING_SNAKE_CASE_     ):
    raise ValueError("factorial() only accepts integral values"     )
  if n < 0:
    raise ValueError("factorial() not defined for negative values"     )
  return 1 if n == 0 or n == 1 else n * factorial(n - 1     )


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   _snake_case					=					int(input('''Enter a positive integer: ''').strip() or 0)
   print(f'''factorial{n} is {factorial(n)}''')



