



'''simple docstring'''
from dataclasses import dataclass

_UpperCamelCase									=      '''0.1'''
_UpperCamelCase									=      '''Lucia Harcekova'''



@dataclass
class _A	:
		_SCREAMING_SNAKE_CASE       :     int
		_SCREAMING_SNAKE_CASE       :     int
		_SCREAMING_SNAKE_CASE       :     str





		def __repr__(  self					)							->  str:

					'''simple docstring'''
					return f'({self.offset}, {self.length}, {self.indicator})'



class _A	:





		def __init__(  self			,							__UpperCAmelCase = 13			,							__UpperCAmelCase = 6					)							->  None:

					'''simple docstring'''
					__UpperCAmelCase :   List[str]    					=  window_size
					__UpperCAmelCase :   Optional[int]    					=  lookahead_buffer_size
					__UpperCAmelCase :   Tuple    					=  self.window_size - self.lookahead_buffer_size





		def 				__A							(  self			,							__UpperCAmelCase					)							->  list[Token]:

					'''simple docstring'''
					__UpperCAmelCase :   List[str]    					=  []
					__UpperCAmelCase :   List[str]    					=  """"""

					# 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)
								__UpperCAmelCase :   int    					=  self._find_encoding_token(__UpperCAmelCase			,							__UpperCAmelCase					)

								# 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(__UpperCAmelCase					) > self.search_buffer_size:
											__UpperCAmelCase :   Tuple    					=  search_buffer[-self.search_buffer_size :]

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

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

					return output





		def 				__A							(  self			,							__UpperCAmelCase					)							->  str:

					'''simple docstring'''
					__UpperCAmelCase :   Any    					=  """"""

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

					return output





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase					)							->  Token:

					'''simple docstring'''

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

					# Initialise result parameters to default values
					__UpperCAmelCase					,	__UpperCAmelCase :   Optional[int]    					=  0, 0

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

					for i, character in enumerate(__UpperCAmelCase					):
								__UpperCAmelCase :   str    					=  len(__UpperCAmelCase					) - i
								if character == text[0]:
											__UpperCAmelCase :   List[Any]    					=  self._match_length_from_index(__UpperCAmelCase			,							__UpperCAmelCase			,							0			,							__UpperCAmelCase					)
											# 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:
														__UpperCAmelCase					,	__UpperCAmelCase :   str    					=  found_offset, found_length

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





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase			,							__UpperCAmelCase			,							__UpperCAmelCase					)							->  int:

					'''simple docstring'''
					if not text or text[text_index] != window[window_index]:
								return 0
					return 1 + self._match_length_from_index(
					    __UpperCAmelCase			,							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."









'''simple docstring'''
from .hash_table import HashTable



class _A	(     __SCREAMING_SNAKE_CASE     ):





		def __init__(  self			,							*__UpperCAmelCase			,							**__UpperCAmelCase					)							->  List[Any]:

					'''simple docstring'''
					super().__init__(*__UpperCAmelCase			,							**__UpperCAmelCase					)





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase=None					)							->  str:

					'''simple docstring'''
					__UpperCAmelCase :   List[str]    					=  1
					__UpperCAmelCase :   Optional[Any]    					=  self.hash_function(key + i * i					)

					while self.values[new_key] is not None and self.values[new_key] != key:
								i += 1
								__UpperCAmelCase :   str    					=  (
								    self.hash_function(key + i * i					)
								    if not self.balanced_factor() >= self.lim_charge
								    else None
								)

								if new_key is None:
											break

					return new_key




