



from __future__ import annotations
def 						UpperCamelCase      (  snake_case__			:       int			,	snake_case__			:       Tuple = None			,	snake_case__			:       Dict = None			,	snake_case__			:       Tuple = False			,	)      ->	tuple[int, float, str]:
   UpperCamelCase       :    Tuple		      =      cipher_alphabet or [chr(__SCREAMING_SNAKE_CASE      ) for i in range(97			,	123      )]

   # If the argument is None or the user provided an empty dictionary
   if not frequencies_dict:
      # Frequencies of letters in the english language (how much they show up)
      UpperCamelCase       :    str		      =      {
          'a': 0.08497,
          'b': 0.01492,
          'c': 0.02202,
          'd': 0.04253,
          'e': 0.11162,
          'f': 0.02228,
          'g': 0.02015,
          'h': 0.06094,
          'i': 0.07546,
          'j': 0.00153,
          'k': 0.01292,
          'l': 0.04025,
          'm': 0.02406,
          'n': 0.06749,
          'o': 0.07507,
          'p': 0.01929,
          'q': 0.00095,
          'r': 0.07587,
          's': 0.06327,
          't': 0.09356,
          'u': 0.02758,
          'v': 0.00978,
          'w': 0.02560,
          'x': 0.00150,
          'y': 0.01994,
          'z': 0.00077,
      }
   else:
      # Custom frequencies dictionary
      UpperCamelCase       :    str		      =      frequencies_dict

   if not case_sensitive:
      UpperCamelCase       :    Optional[int]		      =      ciphertext.lower()

   # Chi squared statistic values
   UpperCamelCase       :    dict[int, tuple[float, str]]		      =      {}

   # cycle through all of the shifts
   for shift in range(len(__SCREAMING_SNAKE_CASE      )      ):
      UpperCamelCase       :    Union[str, Any]		      =      ''

      # decrypt the message with the shift
      for letter in ciphertext:
         try:
            # Try to index the letter in the alphabet
            UpperCamelCase       :    Tuple		      =      (alphabet_letters.index(letter.lower()      ) - shift) % len(
                __SCREAMING_SNAKE_CASE      )
            decrypted_with_shift += (
                alphabet_letters[new_key].upper()
                if case_sensitive and letter.isupper()
                else alphabet_letters[new_key]
            )
         except ValueError:
            # Append the character if it isn't in the alphabet
            decrypted_with_shift += letter

      UpperCamelCase       :    List[Any]		      =      0.0

      # Loop through each letter in the decoded message with the shift
      for letter in decrypted_with_shift:
         if case_sensitive:
            UpperCamelCase       :    Dict		      =      letter.lower()
            if letter in frequencies:
               # Get the amount of times the letter occurs in the message
               UpperCamelCase       :    Any		      =      decrypted_with_shift.lower().count(__SCREAMING_SNAKE_CASE      )

               # Get the excepcted amount of times the letter should appear based
               # on letter frequencies
               UpperCamelCase       :    Dict		      =      frequencies[letter] * occurrences

               # Complete the chi squared statistic formula
               UpperCamelCase       :    List[Any]		      =      ((occurrences - expected) ** 2) / expected

               # Add the margin of error to the total chi squared statistic
               chi_squared_statistic += chi_letter_value
         else:
            if letter.lower() in frequencies:
               # Get the amount of times the letter occurs in the message
               UpperCamelCase       :    List[str]		      =      decrypted_with_shift.count(__SCREAMING_SNAKE_CASE      )

               # Get the excepcted amount of times the letter should appear based
               # on letter frequencies
               UpperCamelCase       :    Tuple		      =      frequencies[letter] * occurrences

               # Complete the chi squared statistic formula
               UpperCamelCase       :    int		      =      ((occurrences - expected) ** 2) / expected

               # Add the margin of error to the total chi squared statistic
               chi_squared_statistic += chi_letter_value

        # Add the data to the chi_squared_statistic_values dictionary
      UpperCamelCase       :    int		      =      (
          chi_squared_statistic,
          decrypted_with_shift,
      )

   # Get the most likely cipher by finding the cipher with the smallest chi squared
   # statistic
   def chi_squared_statistic_values_sorting_key(snake_case__			:       Optional[Any]      ) -> tuple[float, str]:
      return chi_squared_statistic_values[key]

   UpperCamelCase       :    int		      =      min(
       __SCREAMING_SNAKE_CASE			,	key=__SCREAMING_SNAKE_CASE			,	)

   # Get all the data from the most likely cipher (key, decoded message)
   (
       UpperCamelCase							
   )       :    Union[str, Any]		      =      chi_squared_statistic_values[most_likely_cipher]

   # Return the data on the most likely shift
   return (
       most_likely_cipher,
       most_likely_cipher_chi_squared_value,
       decoded_most_likely_cipher,
   )









'''simple docstring'''






import requests
from bsa import BeautifulSoup






def 		UpperCamelCase__      (		__SCREAMING_SNAKE_CASE				,      __SCREAMING_SNAKE_CASE		)    ->   str:
      snake_case__       :   List[Any]	      =    BeautifulSoup(requests.get(__SCREAMING_SNAKE_CASE				,      params=__SCREAMING_SNAKE_CASE		).content				,      'html.parser'		)
      snake_case__       :   Optional[int]	      =    soup.find('div'				,      attrs={'class': 'gs_ri'}		)
      snake_case__       :   Dict	      =    div.find('div'				,      attrs={'class': 'gs_fl'}		).find_all('a'		)
      return anchors[2].get_text()


if __name__ == "__main__":
      A_			      =		{
          "title": (
              "Precisely geometry controlled microsupercapacitors for ultrahigh areal "
              "capacitance, volumetric capacitance, and energy density"
          ),
          "journal": "Chem. Mater.",
          "volume": 30,
          "pages": "3979-3990",
          "year": 2018,
          "hl": "en",
      }
      print(get_citation("https://scholar.google.com/scholar_lookup", params=params))
