




"""simple docstring"""


def 	lowercase_				(			__UpperCAmelCase				)						->    list:

      if len(__UpperCAmelCase				) <= 1:
            return [tuple(__UpperCAmelCase				)]

      lowerCAmelCase__      :			Union[str, Any]   =	[]

      def generate(__UpperCAmelCase    ,		__UpperCAmelCase				):
            if k == 1:
                  res.append(tuple(arr[:]				)				)
                  return

            generate(k - 1    ,		__UpperCAmelCase				)

            for i in range(k - 1				):
                  if k % 2 == 0:  # k is even
                        lowerCAmelCase__ ,   lowerCAmelCase__      :			List[str]   =	arr[k - 1], arr[i]
                  else:  # k is odd
                        lowerCAmelCase__ ,   lowerCAmelCase__      :			Dict   =	arr[k - 1], arr[0]
                  generate(k - 1    ,		__UpperCAmelCase				)

      generate(len(__UpperCAmelCase				)    ,		__UpperCAmelCase				)
      return res


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











"""simple docstring"""


import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


_A													=      logging.get_logger(__name__)


class _lowerCamelCase    (					a_						):






   def __init__(		self       :		Union[str, Any]   ,     *UpperCamelCase       :		int   ,     **UpperCamelCase       :		List[Any]   )			->						None:

         """simple docstring"""
         warnings.warn(
             """The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
             """ use CLIPImageProcessor instead."""   ,     UpperCamelCase   ,     )
         super().__init__(*UpperCamelCase   ,     **UpperCamelCase   )





