
"""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


_a      :			int					=      logging.get_logger(__name__)






class      _UpperCAmelCase				(					_snake_case):
    def __init__(    self						,    **snake_case_     ):
      requires_backends(self						,    ["bs4"]     )
      super().__init__(**snake_case_     )
    def 					lowerCamelCase__	(    self						,    snake_case_     ):
      _snake_case     :						List[Any]						=   []
      _snake_case     :						str						=   []
      _snake_case     :						Optional[Any]						=   element if element.name else element.parent
      for parent in child.parents:  # type: bs4.element.Tag
        _snake_case     :						List[str]						=   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     )     )
        _snake_case     :						str						=   parent
      xpath_tags.reverse()
      xpath_subscripts.reverse()
      return xpath_tags, xpath_subscripts
    def 					lowerCamelCase__	(    self						,    snake_case_     ):
      _snake_case     :						Any						=   BeautifulSoup(snake_case_						,    "html.parser"     )

      _snake_case     :						Dict						=   []
      _snake_case     :						Union[str, Any]						=   []
      _snake_case     :						Dict						=   []

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

          _snake_case     :						Optional[Any]						=   html.unescape(snake_case_     ).strip()
          if not text_in_this_tag:
            continue

          all_doc_strings.append(snake_case_     )

          _snake_case     :						Union[str, 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 					lowerCamelCase__	(    self						,    snake_case_						,    snake_case_     ):
      _snake_case     :						Tuple						=   ""
      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_     ):
      _snake_case     :						Optional[Any]						=   False

      # Check that strings has a valid type
      if isinstance(snake_case_						,    snake_case_     ):
        _snake_case     :						str						=   True
      elif isinstance(snake_case_						,    (list, tuple)     ):
        if len(snake_case_     ) == 0 or isinstance(html_strings[0]						,    snake_case_     ):
          _snake_case     :						Optional[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_     )}.'     )

      _snake_case     :						Union[str, Any]						=   bool(isinstance(snake_case_						,    (list, tuple)     ) and (isinstance(html_strings[0]						,    snake_case_     ))     )

      if not is_batched:
        _snake_case     :						str						=   [html_strings]

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

      # return as Dict
      _snake_case     :						List[str]						=   {"nodes": nodes, "xpaths": xpaths}
      _snake_case     :						int						=   BatchFeature(data=snake_case_						,    tensor_type=snake_case_     )

      return encoded_inputs



"""simple docstring"""
from __future__ import annotations






class      _UpperCAmelCase				:
    def __init__(    self						,    snake_case_						,    snake_case_     ):
      _snake_case			,					_snake_case     :						Dict						=   text, pattern
      _snake_case			,					_snake_case     :						int						=   len(snake_case_     ), len(snake_case_     )
    def 					lowerCamelCase__	(    self						,    snake_case_     ):

      for i in range(self.patLen - 1						,    -1						,    -1     ):
        if char == self.pattern[i]:
          return i
      return -1
    def 					lowerCamelCase__	(    self						,    snake_case_     ):

      for i in range(self.patLen - 1						,    -1						,    -1     ):
        if self.pattern[i] != self.text[current_pos + i]:
          return current_pos + i
      return -1


    def 					lowerCamelCase__	(    self     ):
      # searches pattern in text and returns index positions
      _snake_case     :						List[str]						=   []
      for i in range(self.textLen - self.patLen + 1     ):
        _snake_case     :						Union[str, Any]						=   self.mismatch_in_text(snake_case_     )
        if mismatch_index == -1:
          positions.append(snake_case_     )
        else:
          _snake_case     :						Tuple						=   self.match_in_pattern(self.text[mismatch_index]     )
          _snake_case     :						Tuple						=   (
              mismatch_index - match_index
          )  # shifting index lgtm [py/multiple-definition]
      return positions


_a      :			List[Any]					=							"""ABAABA"""
_a      :			str					=							"""AB"""
_a      :			List[Any]					=							BoyerMooreSearch(text, pattern)
_a      :			Any					=							bms.bad_character_heuristic()

if len(positions) == 0:
    print("""No match found""")
else:
    print("""Pattern found in following positions: """)
    print(positions)

