


"""simple docstring"""







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


lowerCAmelCase__      				=   logging.get_logger(__name__)


class       SCREAMING_SNAKE_CASE__				(		lowercase				):
       """simple docstring"""


       def __init__(						self		,     **snake_case__						):






         """simple docstring"""





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

       def        lowercase__							(						self		,     snake_case__						):






         """simple docstring"""





         lowerCAmelCase     :     Dict								=							[]
         lowerCAmelCase     :     Any								=							[]
         lowerCAmelCase     :     Dict								=							element if element.name else element.parent
         for parent in child.parents:  # type: bs4.element.Tag
           lowerCAmelCase     :     Tuple								=							parent.find_all(child.name		,     recursive=snake_case__						)
           xpath_tags.append(child.name						)
           xpath_subscripts.append(
               0 if 1 == len(snake_case__						) else next(i for i, s in enumerate(snake_case__		,     1						) if s is child						)						)
           lowerCAmelCase     :     Dict								=							parent
         xpath_tags.reverse()
         xpath_subscripts.reverse()
         return xpath_tags, xpath_subscripts

       def        lowercase__							(						self		,     snake_case__						):






         """simple docstring"""





         lowerCAmelCase     :     Optional[Any]								=							BeautifulSoup(snake_case__		,     "html.parser"						)

         lowerCAmelCase     :     Union[str, Any]								=							[]
         lowerCAmelCase     :     List[Any]								=							[]
         lowerCAmelCase     :     List[Any]								=							[]

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

             lowerCAmelCase     :     Union[str, Any]								=							html.unescape(snake_case__						).strip()
             if not text_in_this_tag:
               continue

             all_doc_strings.append(snake_case__						)

             lowerCAmelCase						,  lowerCAmelCase     :     Optional[Any]								=							self.xpath_soup(snake_case__						)
             stringaxtag_seq.append(snake_case__						)
             stringaxsubs_seq.append(snake_case__						)

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

         return all_doc_strings, stringaxtag_seq, stringaxsubs_seq

       def        lowercase__							(						self		,     snake_case__		,     snake_case__						):






         """simple docstring"""





         lowerCAmelCase     :     int								=							""
         for tagname, subs in zip(snake_case__		,     snake_case__						):
           xpath += f"""/{tagname}"""
           if subs != 0:
             xpath += f"""[{subs}]"""
         return xpath







       def __call__(						self		,     snake_case__						):






         """simple docstring"""





         lowerCAmelCase     :     Optional[int]								=							False

         # Check that strings has a valid type
         if isinstance(snake_case__		,     snake_case__						):
           lowerCAmelCase     :     Tuple								=							True
         elif isinstance(snake_case__		,     (list, tuple)						):
           if len(snake_case__						) == 0 or isinstance(html_strings[0]		,     snake_case__						):
             lowerCAmelCase     :     Any								=							True

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

         lowerCAmelCase     :     Any								=							bool(isinstance(snake_case__		,     (list, tuple)						) and (isinstance(html_strings[0]		,     snake_case__						))						)

         if not is_batched:
           lowerCAmelCase     :     Any								=							[html_strings]

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

         # return as Dict
         lowerCAmelCase     :     Optional[int]								=							{"nodes": nodes, "xpaths": xpaths}
         lowerCAmelCase     :     str								=							BatchFeature(data=snake_case__		,     tensor_type=snake_case__						)

         return encoded_inputs











def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	if num <= 0:
		raise ValueError("Input must be a positive integer"							)

	snake_case_		    =     [True] * (num + 1)

	snake_case_		    =     2
	while p * p <= num:
		if primes[p]:
			for i in range(p * p     ,	num + 1     ,	_A							):
				snake_case_		    =     False
		p += 1

	return [prime for prime in range(2     ,	num + 1							) if primes[prime]]


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		lowercase__				:     Tuple 		=						int(input("Enter a positive integer: ").strip())
		print(prime_sieve_eratosthenes(user_num))
