




from __future__ import annotations


class 				UpperCamelCase_    :

    '''simple docstring'''






    def __init__(			self      :	Optional[Any]					, UpperCAmelCase__      :	str					, UpperCAmelCase__      :	str)						->List[str]:





           '''simple docstring'''

           A__ ,							A__       =    text, pattern
           A__ ,							A__       =    len(UpperCAmelCase__), len(UpperCAmelCase__)


    def        SCREAMING_SNAKE_CASE							(			self      :	List[str]					, UpperCAmelCase__      :	str)						->int:





           '''simple docstring'''

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


    def        SCREAMING_SNAKE_CASE							(			self      :	int					, UpperCAmelCase__      :	int)						->int:





           '''simple docstring'''

           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        SCREAMING_SNAKE_CASE							(			self      :	int)						->list[int]:





           '''simple docstring'''

           A__       =    []
           for i in range(self.textLen - self.patLen + 1):
                  A__       =    self.mismatch_in_text(UpperCAmelCase__)
                  if mismatch_index == -1:
                         positions.append(UpperCAmelCase__)
                  else:
                         A__       =    self.match_in_pattern(self.text[mismatch_index])
                         A__       =    (
                             mismatch_index - match_index
                         )  # shifting index lgtm [py/multiple-definition]
           return positions
_lowerCamelCase	:		List[Any]							       =   """ABAABA"""
_lowerCamelCase	:		List[Any]							       =   """AB"""
_lowerCamelCase	:		Dict							       =   BoyerMooreSearch(text, pattern)
_lowerCamelCase	:		List[Any]							       =   bms.bad_character_heuristic()

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








from __future__ import annotations







def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_ ,				lowercase_						)   ->       tuple[float, list[float]]:



       """simple docstring"""

       A__       =    list(range(len(lowercase_						)						)						)
       A__       =    [v / w for v, w in zip(lowercase_ ,				lowercase_						)]
       index.sort(key=lambda lowercase_						: ratio[i] ,				reverse=lowercase_						)

       A__       =    0
       A__       =    [0] * len(lowercase_						)
       for i in index:
              if weight[i] <= capacity:
                     A__       =    1
                     max_value += value[i]
                     capacity -= weight[i]
              else:
                     A__       =    capacity / weight[i]
                     max_value += value[i] * capacity / weight[i]
                     break

       return max_value, fractions


if __name__ == "__main__":
  import doctest

  doctest.testmod()


