



def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Union[str, Any]			,       _SCREAMING_SNAKE_CASE    :     Optional[Any]			,       _SCREAMING_SNAKE_CASE    :     List[Any]      ):
				"""simple docstring"""







				if right <= left:
								return
				__a					       =						left
				__a					       =						right
				__a					       =						sorting[left]
				while i <= b:
								if sorting[i] < pivot:
												__a					       =						sorting[i], sorting[a]
												a += 1
												i += 1
								elif sorting[i] > pivot:
												__a					       =						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 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Optional[Any]			,       _SCREAMING_SNAKE_CASE    :     Optional[Any]			,       _SCREAMING_SNAKE_CASE    :     Tuple      ):
				"""simple docstring"""







				if left < right:
								__a					       =						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 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     List[str]			,       _SCREAMING_SNAKE_CASE    :     Dict			,       _SCREAMING_SNAKE_CASE    :     Dict      ):
				"""simple docstring"""







				__a					       =						sorting[right]
				__a					       =						left
				for i in range(SCREAMING_SNAKE_CASE_			,       SCREAMING_SNAKE_CASE_      ):
								if sorting[i] < pivot:
												__a					       =						sorting[i], sorting[store_index]
												store_index += 1
				__a					       =						sorting[store_index], sorting[right]
				return store_index

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Optional[int]      ):
				"""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__     =	input("""Enter numbers separated by a comma:\n""").strip()
						lowerCamelCase__     =	[int(item) for item in user_input.split(""",""")]
						quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
						print(unsorted)





from typing import TYPE_CHECKING

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


lowerCamelCase__     =	{"""configuration_hubert""": ["""HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """HubertConfig"""]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__     =	[
						    """HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """HubertForCTC""",
						    """HubertForSequenceClassification""",
						    """HubertModel""",
						    """HubertPreTrainedModel""",
						]


try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__     =	[
						    """TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """TFHubertForCTC""",
						    """TFHubertModel""",
						    """TFHubertPreTrainedModel""",
						]

if TYPE_CHECKING:
						from .configuration_hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_hubert import (
												    HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    HubertForCTC,
												    HubertForSequenceClassification,
												    HubertModel,
												    HubertPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_hubert import (
												    TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFHubertForCTC,
												    TFHubertModel,
												    TFHubertPreTrainedModel,
												)


else:
						import sys

						lowerCamelCase__     =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
