




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__					:  List[str]      							=				logging.get_logger(__name__)





class 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







 def __init__(				self    :						Any							,							**_lowerCAmelCase    :						List[str]		):
       requires_backends(self							,							['bs4']		)
       super().__init__(**_lowerCAmelCase		)



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



 def  lowerCAmelCase_    (				self    :						int							,							_lowerCAmelCase    :						str		):
       SCREAMING_SNAKE_CASE_      		=     BeautifulSoup(_lowerCAmelCase							,							'html.parser'		)

       SCREAMING_SNAKE_CASE_      		=     []
       SCREAMING_SNAKE_CASE_      		=     []
       SCREAMING_SNAKE_CASE_      		=     []

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

                   SCREAMING_SNAKE_CASE_      		=     html.unescape(_lowerCAmelCase		).strip()
                   if not text_in_this_tag:
                         continue

                   all_doc_strings.append(_lowerCAmelCase		)

                   SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     self.xpath_soup(_lowerCAmelCase		)
                   stringaxtag_seq.append(_lowerCAmelCase		)
                   stringaxsubs_seq.append(_lowerCAmelCase		)

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

       return all_doc_strings, stringaxtag_seq, stringaxsubs_seq



 def  lowerCAmelCase_    (				self    :						List[Any]							,							_lowerCAmelCase    :						Any							,							_lowerCAmelCase    :						Dict		):
       SCREAMING_SNAKE_CASE_      		=     ''
       for tagname, subs in zip(_lowerCAmelCase							,							_lowerCAmelCase		):
             xpath += F"/{tagname}"
             if subs != 0:
                   xpath += F"[{subs}]"
       return xpath




 def __call__(				self    :						Optional[int]							,							_lowerCAmelCase    :						Dict		):
       SCREAMING_SNAKE_CASE_      		=     False

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

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

       SCREAMING_SNAKE_CASE_      		=     bool(isinstance(_lowerCAmelCase							,							(list, tuple)		) and (isinstance(html_strings[0]							,							_lowerCAmelCase		))		)

       if not is_batched:
             SCREAMING_SNAKE_CASE_      		=     [html_strings]

       # Get nodes + xpaths
       SCREAMING_SNAKE_CASE_      		=     []
       SCREAMING_SNAKE_CASE_      		=     []
       for html_string in html_strings:
             SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     self.get_three_from_single(_lowerCAmelCase		)
             nodes.append(_lowerCAmelCase		)
             SCREAMING_SNAKE_CASE_      		=     []
             for node, tag_list, sub_list in zip(_lowerCAmelCase							,							_lowerCAmelCase							,							_lowerCAmelCase		):
                   SCREAMING_SNAKE_CASE_      		=     self.construct_xpath(_lowerCAmelCase							,							_lowerCAmelCase		)
                   xpath_strings.append(_lowerCAmelCase		)
             xpaths.append(_lowerCAmelCase		)

       # return as Dict
       SCREAMING_SNAKE_CASE_      		=     {'nodes': nodes, 'xpaths': xpaths}
       SCREAMING_SNAKE_CASE_      		=     BatchFeature(data=_lowerCAmelCase							,							tensor_type=_lowerCAmelCase		)

       return encoded_inputs





from __future__ import annotations

from collections.abc import Generator

def    UpperCAmelCase_				( )   ->					Generator[int, None, None]:
      SCREAMING_SNAKE_CASE_      		=     {}
      SCREAMING_SNAKE_CASE_      		=     2
      while True:
            SCREAMING_SNAKE_CASE_      		=     factor_map.pop(__UpperCAmelCase     ,     __UpperCAmelCase				)
            if factor:
                  SCREAMING_SNAKE_CASE_      		=     factor + prime
                  while x in factor_map:
                        x += factor
                  SCREAMING_SNAKE_CASE_      		=     factor
            else:
                  SCREAMING_SNAKE_CASE_      		=     prime
                  yield prime
            prime += 1

def    UpperCAmelCase_				( __UpperCAmelCase		:      float = 1E10				)   ->					int:
      SCREAMING_SNAKE_CASE_      		=     sieve()

      SCREAMING_SNAKE_CASE_      		=     1
      while True:
            SCREAMING_SNAKE_CASE_      		=     next(__UpperCAmelCase				)
            if (2 * prime * n) > limit:
                  return n
            # Ignore the next prime as the reminder will be 2.
            next(__UpperCAmelCase				)
            n += 2


if __name__ == "__main__":
   print(solution())