




"""simple docstring"""


def 	lowercase_				(			__UpperCAmelCase				)						->    list:

      if len(__UpperCAmelCase				) < 2:
            return collection

      def circle_sort_util(__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase				) -> bool:
            lowerCAmelCase__      :			List[Any]   =	False

            if low == high:
                  return swapped

            lowerCAmelCase__      :			int   =	low
            lowerCAmelCase__      :			List[str]   =	high

            while left < right:
                  if collection[left] > collection[right]:
                        lowerCAmelCase__ ,   lowerCAmelCase__      :			List[Any]   =	(
                            collection[right],
                            collection[left],
                        )
                        lowerCAmelCase__      :			Dict   =	True

                  left += 1
                  right -= 1

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

                  lowerCAmelCase__      :			Any   =	True

            lowerCAmelCase__      :			List[Any]   =	low + int((high - low) / 2				)
            lowerCAmelCase__      :			Union[str, Any]   =	circle_sort_util(__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase				)
            lowerCAmelCase__      :			Optional[int]   =	circle_sort_util(__UpperCAmelCase    ,		mid + 1    ,		__UpperCAmelCase				)

            return swapped or left_swap or right_swap

      lowerCAmelCase__      :			Dict   =	True

      while is_not_sorted is True:
            lowerCAmelCase__      :			List[Any]   =	circle_sort_util(__UpperCAmelCase    ,		0    ,		len(__UpperCAmelCase				) - 1				)

      return collection


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











"""simple docstring"""


import os
from collections import deque

import torch
from torch.utils.data import Dataset


class _lowerCamelCase    (					a_						):






   def __init__(		self       :		Tuple   ,     UpperCamelCase       :		List[Any]=""   ,     UpperCamelCase       :		List[str]="train"   )			->						List[Any]:

         """simple docstring"""
         assert os.path.isdir(UpperCamelCase   )

         lowerCAmelCase__      :			Union[str, Any]   =	[]
         lowerCAmelCase__      :			List[Any]   =	os.listdir(UpperCamelCase   )
         for story_filename in story_filenames_list:
               if "summary" in story_filename:
                     continue
               lowerCAmelCase__      :			Any   =	os.path.join(UpperCamelCase   ,     UpperCamelCase   )
               if not os.path.isfile(UpperCamelCase   ):
                     continue
               self.documents.append(UpperCamelCase   )






   def __len__(		self       :		List[Any]   )			->						int:

         """simple docstring"""
         return len(self.documents   )






   def __getitem__(		self       :		str   ,     UpperCamelCase       :		Union[str, Any]   )			->						str:

         """simple docstring"""
         lowerCAmelCase__      :			Any   =	self.documents[idx]
         lowerCAmelCase__      :			List[Any]   =	document_path.split("""/"""   )[-1]
         with open(UpperCamelCase   ,     encoding="""utf-8"""   ) as source:
               lowerCAmelCase__      :			List[str]   =	source.read()
               lowerCAmelCase__ ,   lowerCAmelCase__      :			Union[str, Any]   =	process_story(UpperCamelCase   )
         return document_name, story_lines, summary_lines






def 	lowercase_				(			__UpperCAmelCase				)						->    Union[str, Any]:
      lowerCAmelCase__      :			Tuple   =	list(filter(lambda __UpperCAmelCase				: len(__UpperCAmelCase				) != 0    ,		[line.strip() for line in raw_story.split("""\n"""				)]				)				)

      # for some unknown reason some lines miss a period, add it
      lowerCAmelCase__      :			List[str]   =	[_add_missing_period(__UpperCAmelCase				) for line in nonempty_lines]

      # gather article lines
      lowerCAmelCase__      :			Optional[int]   =	[]
      lowerCAmelCase__      :			Optional[int]   =	deque(__UpperCAmelCase				)
      while True:
            try:
                  lowerCAmelCase__      :			List[Any]   =	lines.popleft()
                  if element.startswith("""@highlight"""				):
                        break
                  story_lines.append(__UpperCAmelCase				)
            except IndexError:
                  # if "@highlight" is absent from the file we pop
                  # all elements until there is None, raising an exception.
                  return story_lines, []

    # gather summary lines
      lowerCAmelCase__      :			Any   =	list(filter(lambda __UpperCAmelCase				: not t.startswith("""@highlight"""				)    ,		__UpperCAmelCase				)				)

      return story_lines, summary_lines



def 	lowercase_				(			__UpperCAmelCase				)						->    Optional[int]:
      lowerCAmelCase__      :			List[str]   =	[""".""", """!""", """?""", """...""", """'""", """`""", """\"""", """\u2019""", """\u2019""", """)"""]
      if line.startswith("""@highlight"""				):
            return line
      if line[-1] in END_TOKENS:
            return line
      return line + "."



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase				)						->    List[Any]:
      if len(__UpperCAmelCase				) > block_size:
            return sequence[:block_size]
      else:
            sequence.extend([pad_token_id] * (block_size - len(__UpperCAmelCase				))				)
            return sequence



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase				)						->    Tuple:
      lowerCAmelCase__      :			List[str]   =	torch.ones_like(__UpperCAmelCase				)
      lowerCAmelCase__      :			List[str]   =	sequence == pad_token_id
      lowerCAmelCase__      :			str   =	0
      return mask



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase				)						->    List[Any]:
      lowerCAmelCase__      :			Tuple   =	[tokenizer.encode(__UpperCAmelCase				) for line in story_lines]
      lowerCAmelCase__      :			List[str]   =	[token for sentence in story_lines_token_ids for token in sentence]
      lowerCAmelCase__      :			int   =	[tokenizer.encode(__UpperCAmelCase				) for line in summary_lines]
      lowerCAmelCase__      :			Union[str, Any]   =	[token for sentence in summary_lines_token_ids for token in sentence]

      return story_token_ids, summary_token_ids



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase				)						->    List[str]:
      lowerCAmelCase__      :			Tuple   =	[]
      for sequence in batch:
            lowerCAmelCase__      :			Union[str, Any]   =	-1
            lowerCAmelCase__      :			List[str]   =	[]
            for s in sequence:
                  if s == separator_token_id:
                        sentence_num += 1
                  embeddings.append(sentence_num % 2				)
            batch_embeddings.append(__UpperCAmelCase				)
      return torch.tensor(__UpperCAmelCase				)





