def        SCREAMING_SNAKE_CASE_      (		lowerCAmelCase_:			int  ):



      for i in range(len(lowerCAmelCase_  ) - 1			,						0			,						-1  ):
            snake_case_  :      List[Any]  	=							False

            for j in range(lowerCAmelCase_			,						0			,						-1  ):
                  if unsorted[j] < unsorted[j - 1]:
                        snake_case_  :      int  	=							unsorted[j - 1], unsorted[j]
                        snake_case_  :      List[str]  	=							True

            for j in range(lowerCAmelCase_  ):
                  if unsorted[j] > unsorted[j + 1]:
                        snake_case_  :      Union[str, Any]  	=							unsorted[j + 1], unsorted[j]
                        snake_case_  :      Optional[Any]  	=							True

            if not swapped:
                  break
      return unsorted


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     UpperCAmelCase					      =							input("Enter numbers separated by a comma:\n").strip()
     UpperCAmelCase					      =							[int(item) for item in user_input.split(",")]
     print(F"{cocktail_shaker_sort(unsorted) = }")










from typing import TYPE_CHECKING

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


UpperCAmelCase_							=				{
    """configuration_m2m_100""": ["""M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP""", """M2M100Config""", """M2M100OnnxConfig"""],
    """tokenization_m2m_100""": ["""M2M100Tokenizer"""],
}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase_							=				[
							    """M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """M2M100ForConditionalGeneration""",
							    """M2M100Model""",
							    """M2M100PreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
							from .tokenization_mam_aaa import MaMaaaTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mam_aaa import (
														    M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MaMaaaForConditionalGeneration,
														    MaMaaaModel,
														    MaMaaaPreTrainedModel,
														)


else:
							import sys

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