




from __future__ import annotations







def SCREAMING_SNAKE_CASE       ( lowercase_				,       lowercase_ = None				,       lowercase_ = None				,       lowercase_ = False				,       )     -> tuple[int, float, str]:



       """simple docstring"""

       A__   				=					cipher_alphabet or [chr(UpperCAmelCase__		) 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)
              A__   				=					{
                  '''a''': 0.0_84_97,
                  '''b''': 0.0_14_92,
                  '''c''': 0.0_22_02,
                  '''d''': 0.0_42_53,
                  '''e''': 0.1_11_62,
                  '''f''': 0.0_22_28,
                  '''g''': 0.0_20_15,
                  '''h''': 0.0_60_94,
                  '''i''': 0.0_75_46,
                  '''j''': 0.0_01_53,
                  '''k''': 0.0_12_92,
                  '''l''': 0.0_40_25,
                  '''m''': 0.0_24_06,
                  '''n''': 0.0_67_49,
                  '''o''': 0.0_75_07,
                  '''p''': 0.0_19_29,
                  '''q''': 0.0_00_95,
                  '''r''': 0.0_75_87,
                  '''s''': 0.0_63_27,
                  '''t''': 0.0_93_56,
                  '''u''': 0.0_27_58,
                  '''v''': 0.0_09_78,
                  '''w''': 0.0_25_60,
                  '''x''': 0.0_01_50,
                  '''y''': 0.0_19_94,
                  '''z''': 0.0_00_77,
              }
       else:
              # Custom frequencies dictionary
              A__   				=					frequencies_dict

       if not case_sensitive:
              A__   				=					ciphertext.lower()

       # Chi squared statistic values
       A__   				=					{}

       # cycle through all of the shifts
       for shift in range(len(UpperCAmelCase__		)		):
              A__   				=					''''''

              # decrypt the message with the shift
              for letter in ciphertext:
                     try:
                            # Try to index the letter in the alphabet
                            A__   				=					(alphabet_letters.index(letter.lower()		) - shift) % len(
                                UpperCAmelCase__		)
                            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

              A__   				=					0.0

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

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

                                   # Complete the chi squared statistic formula
                                   A__   				=					((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
                                   A__   				=					decrypted_with_shift.count(UpperCAmelCase__		)

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

                                   # Complete the chi squared statistic formula
                                   A__   				=					((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
              A__   				=					(
                  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(lowercase_		) -> tuple[float, str]:
              return chi_squared_statistic_values[key]

       A__   				=					min(
           UpperCAmelCase__				,       key=UpperCAmelCase__				,       )

       # Get all the data from the most likely cipher (key, decoded message)
       (
           (
           A__   
       )				,							(
           A__   
       )				,							   
       )   				=					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,
       )








from __future__ import annotations

import numpy as np







def SCREAMING_SNAKE_CASE       ( lowercase_		)     -> List[Any]:



       """simple docstring"""

       return np.maximum(0				,       lowercase_		)


if __name__ == "__main__":
  print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]


