






from __future__ import annotations

import math
from collections import Counter
from string import ascii_lowercase







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							str     ):
	snake_case__,		snake_case__				:   Any     =						analyze_text(snake_case_     )
	snake_case__				:   List[Any]     =						list(" " + ascii_lowercase     )
	# what is our total sum of probabilities.
	snake_case__				:   int     =						sum(single_char_strings.values()     )

	# one length string
	snake_case__				:   Union[str, Any]     =						0
	# for each alpha we go in our dict and if it is in it we calculate entropy
	for ch in my_alphas:
		if ch in single_char_strings:
			snake_case__				:   Optional[int]     =						single_char_strings[ch]
			snake_case__				:   List[Any]     =						my_str / all_sum
			my_fir_sum += prob * math.loga(snake_case_     )  # entropy formula.

    # print entropy
	print(F'''{round(-1 * my_fir_sum     ):.1f}'''     )

	# two len string
	snake_case__				:   List[Any]     =						sum(two_char_strings.values()     )
	snake_case__				:   List[Any]     =						0
	# for each alpha (two in size) calculate entropy.
	for cha in my_alphas:
		for cha in my_alphas:
			snake_case__				:   List[str]     =						cha + cha
			if sequence in two_char_strings:
				snake_case__				:   Dict     =						two_char_strings[sequence]
				snake_case__				:   Dict     =						int(snake_case_     ) / all_sum
				my_sec_sum += prob * math.loga(snake_case_     )

    # print second entropy
	print(F'''{round(-1 * my_sec_sum     ):.1f}'''     )

	# print the difference between them
	print(F'''{round((-1 * my_sec_sum) - (-1 * my_fir_sum)     ):.1f}'''     )







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							str     ):
	snake_case__				:   int     =						Counter()  # type: ignore
	snake_case__				:   int     =						Counter()  # type: ignore
	single_char_strings[text[-1]] += 1

	# first case when we have space at start.
	two_char_strings[" " + text[0]] += 1
	for i in range(0  ,						len(snake_case_     ) - 1     ):
		single_char_strings[text[i]] += 1
		two_char_strings[text[i : i + 2]] += 1
	return single_char_strings, two_char_strings







def   SCREAMING_SNAKE_CASE       (				):
	import doctest

	doctest.testmod()
	# text = (
	#     "Had repulsive dashwoods suspicion sincerity but advantage now him. Remark "
	#     "easily garret nor nay. Civil those mrs enjoy shy fat merry. You greatest "
	#     "jointure saw horrible. He private he on be imagine suppose. Fertile "
	#     "beloved evident through no service elderly is. Blind there if every no so "
	#     "at. Own neglected you preferred way sincerity delivered his attempted. To "
	#     "of message cottage windows do besides against uncivil.  Delightful "
	#     "unreserved impossible few estimating men favourable see entreaties. She "
	#     "propriety immediate was improving. He or entrance humoured likewise "
	#     "moderate. Much nor game son say feel. Fat make met can must form into "
	#     "gate. Me we offending prevailed discovery. "
	# )

	# calculate_prob(text)


if __name__ == "__main__":
	main()











def   SCREAMING_SNAKE_CASE       (				snake_case_      :							str     ):
	snake_case__				:   Any     =						[0] * len(snake_case_     )

	for i in range(1  ,						len(snake_case_     )     ):
		# use last results for better performance - dynamic programming
		snake_case__				:   Union[str, Any]     =						prefix_result[i - 1]
		while j > 0 and input_string[i] != input_string[j]:
			snake_case__				:   str     =						prefix_result[j - 1]

		if input_string[i] == input_string[j]:
			j += 1
		snake_case__				:   int     =						j

	return prefix_result







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							str     ):
	return max(prefix_function(snake_case_     )     )


if __name__ == "__main__":
	import doctest

	doctest.testmod()



