





import html

from ...feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from ...utils import is_bsa_available, logging, requires_backends


if is_bsa_available():
     import bsa
     from bsa import BeautifulSoup


__A							   =							logging.get_logger(__name__)



class   _SCREAMING_SNAKE_CASE		(      __SCREAMING_SNAKE_CASE       ):







 '''simple docstring'''

 def __init__(self							:  Optional[int]			,					**UpperCAmelCase_							:  Optional[Any])			->str:



   '''simple docstring'''



   requires_backends(self			,					["bs4"])
   super().__init__(**UpperCAmelCase_)

 def 				SCREAMING_SNAKE_CASE_   (self							:  Optional[Any]			,					UpperCAmelCase_							:  Optional[int])			->Optional[int]:



   '''simple docstring'''



   lowerCamelCase__: Any         =[]
   lowerCamelCase__: List[str]         =[]
   lowerCamelCase__: Optional[Any]         =element if element.name else element.parent
   for parent in child.parents:  # type: bs4.element.Tag
     lowerCamelCase__: Any         =parent.find_all(child.name			,					recursive=UpperCAmelCase_)
     xpath_tags.append(child.name)
     xpath_subscripts.append(
         0 if 1 == len(UpperCAmelCase_) else next(i for i, s in enumerate(UpperCAmelCase_			,					1) if s is child))
     lowerCamelCase__: Union[str, Any]         =parent
   xpath_tags.reverse()
   xpath_subscripts.reverse()
   return xpath_tags, xpath_subscripts

 def 				SCREAMING_SNAKE_CASE_   (self							:  Tuple			,					UpperCAmelCase_							:  str)			->Dict:



   '''simple docstring'''



   lowerCamelCase__: Dict         =BeautifulSoup(UpperCAmelCase_			,					"html.parser")

   lowerCamelCase__: Tuple         =[]
   lowerCamelCase__: Tuple         =[]
   lowerCamelCase__: Any         =[]

   for element in html_code.descendants:
     if type(UpperCAmelCase_) == bsa.element.NavigableString:
       if type(element.parent) != bsa.element.Tag:
         continue

       lowerCamelCase__: Tuple         =html.unescape(UpperCAmelCase_).strip()
       if not text_in_this_tag:
         continue

       all_doc_strings.append(UpperCAmelCase_)

       lowerCamelCase__    ,   lowerCamelCase__: Optional[int]         =self.xpath_soup(UpperCAmelCase_)
       stringaxtag_seq.append(UpperCAmelCase_)
       stringaxsubs_seq.append(UpperCAmelCase_)

   if len(UpperCAmelCase_) != len(UpperCAmelCase_):
     raise ValueError("Number of doc strings and xtags does not correspond")
   if len(UpperCAmelCase_) != len(UpperCAmelCase_):
     raise ValueError("Number of doc strings and xsubs does not correspond")

   return all_doc_strings, stringaxtag_seq, stringaxsubs_seq

 def 				SCREAMING_SNAKE_CASE_   (self							:  Any			,					UpperCAmelCase_							:  List[Any]			,					UpperCAmelCase_							:  Optional[Any])			->Union[str, Any]:



   '''simple docstring'''



   lowerCamelCase__: List[Any]         =""
   for tagname, subs in zip(UpperCAmelCase_			,					UpperCAmelCase_):
     xpath += F"""/{tagname}"""
     if subs != 0:
       xpath += F"""[{subs}]"""
   return xpath







 def __call__(self							:  Tuple			,					UpperCAmelCase_							:  Any)			->BatchFeature:



   '''simple docstring'''



   lowerCamelCase__: List[str]         =False

   # Check that strings has a valid type
   if isinstance(UpperCAmelCase_			,					UpperCAmelCase_):
     lowerCamelCase__: int         =True
   elif isinstance(UpperCAmelCase_			,					(list, tuple)):
     if len(UpperCAmelCase_) == 0 or isinstance(html_strings[0]			,					UpperCAmelCase_):
       lowerCamelCase__: str         =True

   if not valid_strings:
     raise ValueError(
         "HTML strings must of type `str`, `List[str]` (batch of examples), "
         F"""but is of type {type(UpperCAmelCase_)}.""")

   lowerCamelCase__: Tuple         =bool(isinstance(UpperCAmelCase_			,					(list, tuple)) and (isinstance(html_strings[0]			,					UpperCAmelCase_)))

   if not is_batched:
     lowerCamelCase__: List[Any]         =[html_strings]

   # Get nodes + xpaths
   lowerCamelCase__: List[str]         =[]
   lowerCamelCase__: List[str]         =[]
   for html_string in html_strings:
     lowerCamelCase__    ,   lowerCamelCase__    ,   lowerCamelCase__: Any         =self.get_three_from_single(UpperCAmelCase_)
     nodes.append(UpperCAmelCase_)
     lowerCamelCase__: Any         =[]
     for node, tag_list, sub_list in zip(UpperCAmelCase_			,					UpperCAmelCase_			,					UpperCAmelCase_):
       lowerCamelCase__: List[Any]         =self.construct_xpath(UpperCAmelCase_			,					UpperCAmelCase_)
       xpath_strings.append(UpperCAmelCase_)
     xpaths.append(UpperCAmelCase_)

   # return as Dict
   lowerCamelCase__: int         ={"nodes": nodes, "xpaths": xpaths}
   lowerCamelCase__: int         =BatchFeature(data=UpperCAmelCase_			,					tensor_type=UpperCAmelCase_)

   return encoded_inputs




def 			_A	(      SCREAMING_SNAKE_CASE      ):
	UpperCAmelCase__							,						UpperCAmelCase__:	int									= [], []
	while len(SCREAMING_SNAKE_CASE      ) > 1:
		UpperCAmelCase__							,						UpperCAmelCase__:	str									= min(SCREAMING_SNAKE_CASE      ), max(SCREAMING_SNAKE_CASE      )
		start.append(SCREAMING_SNAKE_CASE      )
		end.append(SCREAMING_SNAKE_CASE      )
		collection.remove(SCREAMING_SNAKE_CASE      )
		collection.remove(SCREAMING_SNAKE_CASE      )
	end.reverse()
	return start + collection + end


if __name__ == "__main__":
					_lowerCAmelCase  :      Union[str, Any]			 =input("""Enter numbers separated by a comma:\n""").strip()
					_lowerCAmelCase  :      Dict			 =[int(item) for item in user_input.split(""",""")]
					print(*merge_sort(unsorted), sep=""",""")