from string import ascii_uppercase

def    _A(		lowerCAmelCase ,     lowerCAmelCase ,     lowerCAmelCase = False ,     lowerCAmelCase = ascii_uppercase       ):
							A__					:    Union[str, Any]														= keyword.upper()
							A__					:    str														= plaintext.upper()
							A__					:    Dict														= set(lowercase__       )

							# create a list of unique characters in the keyword - their order matters
							# it determines how we will map plaintext characters to the ciphertext
							A__					:    Tuple														= []
							for char in keyword:
														if char in alphabet_set and char not in unique_chars:
																					unique_chars.append(lowercase__       )
    # the number of those unique characters will determine the number of rows
							A__					:    Union[str, Any]														= len(lowercase__       )

							# create a shifted version of the alphabet
							A__					:    Union[str, Any]														= unique_chars + [
							    char for char in alphabet if char not in unique_chars
							]

							# create a modified alphabet by splitting the shifted alphabet into rows
							A__					:    Optional[Any]														= [
							    shifted_alphabet[k : k + num_unique_chars_in_keyword]
							    for k in range(0 ,     26 ,     lowercase__       )
							]

							# map the alphabet characters to the modified alphabet characters
							# going 'vertically' through the modified alphabet - consider columns first
							A__					:    str														= {}
							A__					:    Tuple														= 0
							for column in range(lowercase__       ):
														for row in modified_alphabet:
																					# if current row (the last one) is too short, break out of loop
																					if len(lowercase__       ) <= column:
																												break

																					# map current letter to letter in modified alphabet
																					A__					:    Union[str, Any]														= row[column]
																					letter_index += 1

							if verbose:
														print(lowercase__       )
							# create the encrypted text by mapping the plaintext to the modified alphabet
							return "".join(mapping[char] if char in mapping else char for char in plaintext       )


if __name__ == "__main__":
				# example use
				print(mixed_keyword("college", "UNIVERSITY"))






"""simple docstring"""



from dataclasses import dataclass

_UpperCamelCase         =		"0.1"
_UpperCamelCase         =		"Lucia Harcekova"
@dataclass
class 	__UpperCAmelCase						:







			'''simple docstring'''
			_UpperCamelCase     :	int
			_UpperCamelCase     :	int
			_UpperCamelCase     :	str





			def __repr__( self       ):







										'''simple docstring'''


										return F'''({self.offset}, {self.length}, {self.indicator})'''





class 	__UpperCAmelCase						:







			'''simple docstring'''





			def __init__( self      ,			snake_case_ = 13      ,			snake_case_ = 6       ):







										'''simple docstring'''


										A__					:    str														= window_size
										A__					:    Optional[int]														= lookahead_buffer_size
										A__					:    Optional[Any]														= self.window_size - self.lookahead_buffer_size





			def 		lowerCamelCase				( self      ,			snake_case_       ):







										'''simple docstring'''


										A__					:    str														= []
										A__					:    Any														= """"""

										# while there are still characters in text to compress
										while text:
																	# find the next encoding phrase
																	# - triplet with offset, length, indicator (the next encoding character)
																	A__					:    Optional[Any]														= self._find_encoding_token(snake_case_      ,			snake_case_       )

																	# update the search buffer:
																	# - add new characters from text into it
																	# - check if size exceed the max search buffer size, if so, drop the
																	#   oldest elements
																	search_buffer += text[: token.length + 1]
																	if len(snake_case_       ) > self.search_buffer_size:
																								A__					:    Any														= search_buffer[-self.search_buffer_size :]

																	# update the text
																	A__					:    Optional[Any]														= text[token.length + 1 :]

																	# append the token to output
																	output.append(snake_case_       )

										return output





			def 		lowerCamelCase				( self      ,			snake_case_       ):







										'''simple docstring'''


										A__					:    List[Any]														= """"""

										for token in tokens:
																	for _ in range(token.length       ):
																								output += output[-token.offset]
																	output += token.indicator

										return output





			def 		lowerCamelCase				( self      ,			snake_case_      ,			snake_case_       ):







										'''simple docstring'''


										if not text:
																	raise ValueError("""We need some text to work with."""       )

										# Initialise result parameters to default values
										A__							,       A__					:    List[Any]														= 0, 0

										if not search_buffer:
																	return Token(snake_case_      ,			snake_case_      ,			text[length]       )

										for i, character in enumerate(snake_case_       ):
																	A__					:    Tuple														= len(snake_case_       ) - i
																	if character == text[0]:
																								A__					:    Tuple														= self._match_length_from_index(snake_case_      ,			snake_case_      ,			0      ,			snake_case_       )
																								# if the found length is bigger than the current or if it's equal,
																								# which means it's offset is smaller: update offset and length
																								if found_length >= length:
																															A__							,       A__					:    List[str]														= found_offset, found_length

										return Token(snake_case_      ,			snake_case_      ,			text[length]       )





			def 		lowerCamelCase				( self      ,			snake_case_      ,			snake_case_      ,			snake_case_      ,			snake_case_       ):







										'''simple docstring'''


										if not text or text[text_index] != window[window_index]:
																	return 0
										return 1 + self._match_length_from_index(
										    snake_case_      ,			window + text[text_index]      ,			text_index + 1      ,			window_index + 1       )


if __name__ == "__main__":
				from doctest import testmod

				testmod()
				# Initialize compressor class
				_UpperCamelCase         =		LZaaCompressor(window_size=13, lookahead_buffer_size=6)

				# Example
				_UpperCamelCase         =		"cabracadabrarrarrad"
				_UpperCamelCase         =		lzaa_compressor.compress(TEXT)
				print(lzaa_compressor.compress("ababcbababaa"))
				_UpperCamelCase         =		lzaa_compressor.decompress(compressed_text)
				assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."





