

def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							if len(UpperCamelCase__				) < 2:
														return collection

							def circle_sort_util(UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__				) -> bool:
														snake_case_          =   False

														if low == high:
																					return swapped

														snake_case_          =   low
														snake_case_          =   high

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

																					left += 1
																					right -= 1

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

																					snake_case_          =   True

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

														return swapped or left_swap or right_swap

							snake_case_          =   True

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

							return collection


if __name__ == "__main__":
					_UpperCAmelCase		:       str						    =	input("""Enter numbers separated by a comma:\n""").strip()
					_UpperCAmelCase		:       Union[str, Any]						    =	[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		:       Tuple						    =	{
    """configuration_xlm_roberta_xl""": [
        """XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """XLMRobertaXLConfig""",
        """XLMRobertaXLOnnxConfig""",
    ],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase		:       int						    =	[
					    """XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """XLMRobertaXLForCausalLM""",
					    """XLMRobertaXLForMaskedLM""",
					    """XLMRobertaXLForMultipleChoice""",
					    """XLMRobertaXLForQuestionAnswering""",
					    """XLMRobertaXLForSequenceClassification""",
					    """XLMRobertaXLForTokenClassification""",
					    """XLMRobertaXLModel""",
					    """XLMRobertaXLPreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_xlm_roberta_xl import (
					    XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    XLMRobertaXLConfig,
					    XLMRobertaXLOnnxConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_xlm_roberta_xl import (
										    XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
										    XLMRobertaXLForCausalLM,
										    XLMRobertaXLForMaskedLM,
										    XLMRobertaXLForMultipleChoice,
										    XLMRobertaXLForQuestionAnswering,
										    XLMRobertaXLForSequenceClassification,
										    XLMRobertaXLForTokenClassification,
										    XLMRobertaXLModel,
										    XLMRobertaXLPreTrainedModel,
										)

else:
					import sys

					_UpperCAmelCase		:       Optional[Any]						    =	_LazyModule(__name__, globals()["""__file__"""], _import_structure)




