


'''simple docstring'''

from typing import Dict

from .base import GenericTensor, Pipeline
class _lowerCamelCase			(		__a				):



		'''simple docstring'''







		def   __lowerCAmelCase						(   self						:		List[str]    ,	_A						:		Optional[int]=None    ,	_A						:		Optional[int]=None    ,	_A						:		Dict=None    ,	**_A						:		List[Any]     )    ->					int:
			if tokenize_kwargs is None:
				__magic_name__			:       Optional[Any]	      =	{}

			if truncation is not None:
				if "truncation" in tokenize_kwargs:
					raise ValueError(
					    'truncation parameter defined twice (given as keyword argument as well as in tokenize_kwargs)'     )
				__magic_name__			:       Union[str, Any]	      =	truncation

			__magic_name__			:       Optional[Any]	      =	tokenize_kwargs

			__magic_name__			:       Union[str, Any]	      =	{}
			if return_tensors is not None:
				__magic_name__			:       int	      =	return_tensors

			return preprocess_params, {}, postprocess_params







		def   __lowerCAmelCase						(   self						:		Union[str, Any]    ,	_A						:		Any    ,	**_A						:		Dict     )    ->					Dict[str, GenericTensor]:
			__magic_name__			:       Optional[Any]	      =	self.framework
			__magic_name__			:       List[str]	      =	self.tokenizer(_UpperCamelCase    ,	return_tensors=_UpperCamelCase    ,	**_UpperCamelCase     )
			return model_inputs







		def   __lowerCAmelCase						(   self						:		Optional[int]    ,	_A						:		str     )    ->					Dict:
			__magic_name__			:       Optional[Any]	      =	self.model(**_UpperCamelCase     )
			return model_outputs







		def   __lowerCAmelCase						(   self						:		Union[str, Any]    ,	_A						:		Union[str, Any]    ,	_A						:		Union[str, Any]=False     )    ->					Any:
			# [0] is the first available tensor, logits or last_hidden_state.
			if return_tensors:
				return model_outputs[0]
			if self.framework == "pt":
				return model_outputs[0].tolist()
			elif self.framework == "tf":
				return model_outputs[0].numpy().tolist()







		def __call__(   self						:		str    ,	*_A						:		int    ,	**_A						:		int     )    ->					List[Any]:
			return super().__call__(*_UpperCamelCase    ,	**_UpperCamelCase     )

def   lowerCamelCase__							(							__lowerCAmelCase    :    list							):




			"""simple docstring"""


			for i in range(len(__lowerCAmelCase							) - 1       ,				0       ,				-1							):
						lowerCAmelCase_         =      False

						for j in range(__lowerCAmelCase       ,				0       ,				-1							):
									if unsorted[j] < unsorted[j - 1]:
												lowerCAmelCase_      ,    lowerCAmelCase_         =      unsorted[j - 1], unsorted[j]
												lowerCAmelCase_         =      True

						for j in range(__lowerCAmelCase							):
									if unsorted[j] > unsorted[j + 1]:
												lowerCAmelCase_      ,    lowerCAmelCase_         =      unsorted[j + 1], unsorted[j]
												lowerCAmelCase_         =      True

						if not swapped:
									break
			return unsorted


if __name__ == "__main__":
			import doctest

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



