from __future__ import annotations



def      __SCREAMING_SNAKE_CASE  ( __UpperCamelCase   :	str			,					__UpperCamelCase   :	list[str] | None = None			,					__UpperCamelCase   :	dict[str, float] | None = None			,					__UpperCamelCase   :	bool = False			,					)							-> Dict:







		"""simple docstring"""





		SCREAMING_SNAKE_CASE__      							=				cipher_alphabet or [chr(lowerCamelCase_     ) for i in range(97			,					1_23     )]

		# 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)
				SCREAMING_SNAKE_CASE__      							=				{
				    '''a''': 0.0_8497,
				    '''b''': 0.0_1492,
				    '''c''': 0.0_2202,
				    '''d''': 0.0_4253,
				    '''e''': 0.1_1162,
				    '''f''': 0.0_2228,
				    '''g''': 0.0_2015,
				    '''h''': 0.0_6094,
				    '''i''': 0.0_7546,
				    '''j''': 0.0_0153,
				    '''k''': 0.0_1292,
				    '''l''': 0.0_4025,
				    '''m''': 0.0_2406,
				    '''n''': 0.0_6749,
				    '''o''': 0.0_7507,
				    '''p''': 0.0_1929,
				    '''q''': 0.0_0095,
				    '''r''': 0.0_7587,
				    '''s''': 0.0_6327,
				    '''t''': 0.0_9356,
				    '''u''': 0.0_2758,
				    '''v''': 0.0_0978,
				    '''w''': 0.0_2560,
				    '''x''': 0.0_0150,
				    '''y''': 0.0_1994,
				    '''z''': 0.0_0077,
				}
		else:
				# Custom frequencies dictionary
				SCREAMING_SNAKE_CASE__      							=				frequencies_dict

		if not case_sensitive:
				SCREAMING_SNAKE_CASE__      							=				ciphertext.lower()

		# Chi squared statistic values
		SCREAMING_SNAKE_CASE__      							=				{}

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

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

				SCREAMING_SNAKE_CASE__      							=				0.0

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

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

										# Complete the chi squared statistic formula
										SCREAMING_SNAKE_CASE__      							=				((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
										SCREAMING_SNAKE_CASE__      							=				decrypted_with_shift.count(lowerCamelCase_     )

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

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

		SCREAMING_SNAKE_CASE__      							=				min(
		    lowerCamelCase_			,					key=lowerCamelCase_			,					)

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

def      __SCREAMING_SNAKE_CASE  ( __UpperCamelCase   :	Union[str, Any]     )							-> int:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__      							=				len(__UpperCamelCase     )
  for i in range(length - 1     ):
    SCREAMING_SNAKE_CASE__      							=				i
    for k in range(i + 1			,					__UpperCamelCase     ):
      if collection[k] < collection[least]:
        SCREAMING_SNAKE_CASE__      							=				k
    if least != i:
      SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__      							=				(collection[i], collection[least])
  return collection


if __name__ == "__main__":
   __lowerCamelCase      :			Any							       =		input('''Enter numbers separated by a comma:\n''').strip()
   __lowerCamelCase      :			Dict							       =		[int(item) for item in user_input.split(''',''')]
   print(selection_sort(unsorted))
