



def 							A     (					_UpperCAmelCase    :       list   )    ->			list:







			'''simple docstring'''

			if len(_UpperCAmelCase   ) < 2:
						return collection

			def circle_sort_util(_UpperCAmelCase    :       list							,       _UpperCAmelCase    :       int							,       _UpperCAmelCase    :       int   ) -> bool:
						_UpperCAmelCase			=       False

						if low == high:
									return swapped

						_UpperCAmelCase			=       low
						_UpperCAmelCase			=       high

						while left < right:
									if collection[left] > collection[right]:
												_UpperCAmelCase	,					_UpperCAmelCase			=       (
												    collection[right],
												    collection[left],
												)
												_UpperCAmelCase			=       True

									left += 1
									right -= 1

						if left == right and collection[left] > collection[right + 1]:
									_UpperCAmelCase	,					_UpperCAmelCase			=       (
									    collection[right + 1],
									    collection[left],
									)

									_UpperCAmelCase			=       True

						_UpperCAmelCase			=       low + int((high - low) / 2   )
						_UpperCAmelCase			=       circle_sort_util(_UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase   )
						_UpperCAmelCase			=       circle_sort_util(_UpperCAmelCase							,       mid + 1							,       _UpperCAmelCase   )

						return swapped or left_swap or right_swap

			_UpperCAmelCase			=       True

			while is_not_sorted is True:
						_UpperCAmelCase			=       circle_sort_util(_UpperCAmelCase							,       0							,       len(_UpperCAmelCase   ) - 1   )

			return collection


if __name__ == "__main__":
							UpperCAmelCase__       =	input("Enter numbers separated by a comma:\n").strip()
							UpperCAmelCase__       =	[int(item) for item in user_input.split(",")]
							print(circle_sort(unsorted))






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCAmelCase__       =	{
    "configuration_mega": ["MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegaConfig", "MegaOnnxConfig"],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__       =	[
							    "MEGA_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "MegaForCausalLM",
							    "MegaForMaskedLM",
							    "MegaForMultipleChoice",
							    "MegaForQuestionAnswering",
							    "MegaForSequenceClassification",
							    "MegaForTokenClassification",
							    "MegaModel",
							    "MegaPreTrainedModel",
							]

if TYPE_CHECKING:
							from .configuration_mega import MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP, MegaConfig, MegaOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mega import (
														    MEGA_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MegaForCausalLM,
														    MegaForMaskedLM,
														    MegaForMultipleChoice,
														    MegaForQuestionAnswering,
														    MegaForSequenceClassification,
														    MegaForTokenClassification,
														    MegaModel,
														    MegaPreTrainedModel,
														)

else:
							import sys

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