code: 
  
  
  
  """simple docstring"""
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ..utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_tf_available, is_torch_available
  
  
  _lowerCAmelCase       :      List[Any]							=							{
      "configuration_utils": ["GenerationConfig"],
      "streamers": ["TextIteratorStreamer", "TextStreamer"],
  }
  
  try:
   if not is_torch_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   _lowerCAmelCase       :      Tuple							=							[
       "Constraint",
       "ConstraintListState",
       "DisjunctiveConstraint",
       "PhrasalConstraint",
   ]
   _lowerCAmelCase       :      List[str]							=							[
       "BeamHypotheses",
       "BeamScorer",
       "BeamSearchScorer",
       "ConstrainedBeamSearchScorer",
   ]
   _lowerCAmelCase       :      Optional[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",
   ]
   _lowerCAmelCase       :      Optional[Any]							=							[
       "MaxNewTokensCriteria",
       "MaxLengthCriteria",
       "MaxTimeCriteria",
       "StoppingCriteria",
       "StoppingCriteriaList",
       "validate_stopping_criteria",
   ]
   _lowerCAmelCase       :      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:
   _lowerCAmelCase       :      str							=							[
       "TFForcedBOSTokenLogitsProcessor",
       "TFForcedEOSTokenLogitsProcessor",
       "TFLogitsProcessor",
       "TFLogitsProcessorList",
       "TFLogitsWarper",
       "TFMinLengthLogitsProcessor",
       "TFNoBadWordsLogitsProcessor",
       "TFNoRepeatNGramLogitsProcessor",
       "TFRepetitionPenaltyLogitsProcessor",
       "TFTemperatureLogitsWarper",
       "TFTopKLogitsWarper",
       "TFTopPLogitsWarper",
       "TFForceTokensLogitsProcessor",
       "TFSuppressTokensAtBeginLogitsProcessor",
       "TFSuppressTokensLogitsProcessor",
   ]
   _lowerCAmelCase       :      Optional[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:
   _lowerCAmelCase       :      Tuple							=							[
       "FlaxForcedBOSTokenLogitsProcessor",
       "FlaxForcedEOSTokenLogitsProcessor",
       "FlaxLogitsProcessor",
       "FlaxLogitsProcessorList",
       "FlaxLogitsWarper",
       "FlaxMinLengthLogitsProcessor",
       "FlaxTemperatureLogitsWarper",
       "FlaxTopKLogitsWarper",
       "FlaxTopPLogitsWarper",
   ]
   _lowerCAmelCase       :      Dict							=							[
       "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
  
   _lowerCAmelCase       :      Union[str, Any]							=							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
style_context: 
  
  
  
  """simple docstring"""
  
  
  
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list		,						SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int       )						->     None:
  
  
  
  
  
       '''simple docstring'''
  
       if right <= left:
            return
       _UpperCAmelCase    :			Any              =					left
       _UpperCAmelCase    :			Tuple              =					right
       _UpperCAmelCase    :			List[Any]              =					sorting[left]
       while i <= b:
            if sorting[i] < pivot:
                 _UpperCAmelCase       , _UpperCAmelCase    :			List[Any]              =					sorting[i], sorting[a]
                 a += 1
                 i += 1
            elif sorting[i] > pivot:
                 _UpperCAmelCase       , _UpperCAmelCase    :			Any              =					sorting[i], sorting[b]
                 b -= 1
            else:
                 i += 1
       quick_sort_apartition(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__		,						a - 1       )
       quick_sort_apartition(SCREAMING_SNAKE_CASE__		,						b + 1		,						SCREAMING_SNAKE_CASE__       )
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list		,						SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int       )						->     None:
  
  
  
  
  
       '''simple docstring'''
  
       if left < right:
            _UpperCAmelCase    :			Optional[int]              =					lomuto_partition(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       )
            quick_sort_lomuto_partition(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__		,						pivot_index - 1       )
            quick_sort_lomuto_partition(SCREAMING_SNAKE_CASE__		,						pivot_index + 1		,						SCREAMING_SNAKE_CASE__       )
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list		,						SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int       )						->     int:
  
  
  
  
  
       '''simple docstring'''
  
       _UpperCAmelCase    :			Dict              =					sorting[right]
       _UpperCAmelCase    :			Any              =					left
       for i in range(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       ):
            if sorting[i] < pivot:
                 _UpperCAmelCase       , _UpperCAmelCase    :			Dict              =					sorting[i], sorting[store_index]
                 store_index += 1
       _UpperCAmelCase       , _UpperCAmelCase    :			List[str]              =					sorting[store_index], sorting[right]
       return store_index
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list       )						->     list:
  
  
  
  
  
       '''simple docstring'''
  
       if len(SCREAMING_SNAKE_CASE__       ) <= 1:
            return sorting
       return (
           three_way_radix_quicksort([i for i in sorting if i < sorting[0]]       )
           + [i for i in sorting if i == sorting[0]]
           + three_way_radix_quicksort([i for i in sorting if i > sorting[0]]       )
       )
  
  
  if __name__ == "__main__":
   import doctest
  
   doctest.testmod(verbose=True)
  
   _lowerCAmelCase       :      Union[str, Any]							=							input("Enter numbers separated by a comma:\n").strip()
   _lowerCAmelCase       :      List[str]							=							[int(item) for item in user_input.split(",")]
   quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
   print(unsorted)
  