






"""simple docstring"""



from dataclasses import dataclass

_UpperCamelCase						:    Optional[Any]		=						'0.1'
_UpperCamelCase						:    List[str]		=						'Lucia Harcekova'

@dataclass
class 			a	:
    UpperCAmelCase_					:	int
    UpperCAmelCase_					:	int
    UpperCAmelCase_					:	str







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


class 			a	:







    def __init__(     self				,						_lowerCamelCase = 1_3				,						_lowerCamelCase = 6			):
      lowercase				       =			window_size
      lowercase				       =			lookahead_buffer_size
      lowercase				       =			self.window_size - self.lookahead_buffer_size







    def      UpperCamelCase_ (     self				,						_lowerCamelCase			):
      lowercase				       =			[]
      lowercase				       =			''

      # 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)
        lowercase				       =			self._find_encoding_token(_lowerCamelCase				,						_lowerCamelCase			)

        # 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(_lowerCamelCase			) > self.search_buffer_size:
          lowercase				       =			search_buffer[-self.search_buffer_size :]

        # update the text
        lowercase				       =			text[token.length + 1 :]

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

      return output







    def      UpperCamelCase_ (     self				,						_lowerCamelCase			):
      lowercase				       =			''

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

      return output







    def      UpperCamelCase_ (     self				,						_lowerCamelCase				,						_lowerCamelCase			):

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

      # Initialise result parameters to default values
      lowercase       ,	lowercase				       =			0, 0

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

      for i, character in enumerate(_lowerCamelCase			):
        lowercase				       =			len(_lowerCamelCase			) - i
        if character == text[0]:
          lowercase				       =			self._match_length_from_index(_lowerCamelCase				,						_lowerCamelCase				,						0				,						_lowerCamelCase			)
          # 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:
            lowercase       ,	lowercase				       =			found_offset, found_length

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







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


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

    testmod()
    # Initialize compressor class
    _UpperCamelCase						:    Tuple		=						LZaaCompressor(window_size=1_3, lookahead_buffer_size=6)

    # Example
    _UpperCamelCase						:    Union[str, Any]		=						'cabracadabrarrarrad'
    _UpperCamelCase						:    Tuple		=						lzaa_compressor.compress(TEXT)
    print(lzaa_compressor.compress('ababcbababaa'))
    _UpperCamelCase						:    Union[str, Any]		=						lzaa_compressor.decompress(compressed_text)
    assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."










# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
__UpperCAmelCase      =				abspath(join(dirname(dirname(dirname(__file__))), "src"))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action="ignore", category=FutureWarning)





def 						A_					(						lowercase_			)				->str:







 """simple docstring"""

 from transformers.testing_utils import pytest_addoption_shared

 pytest_addoption_shared(lowercase_			)





def 						A_					(						lowercase_			)				->Tuple:







 """simple docstring"""

 from transformers.testing_utils import pytest_terminal_summary_main

 SCREAMING_SNAKE_CASE				    =		terminalreporter.config.getoption('--make-reports'			)
 if make_reports:
  pytest_terminal_summary_main(lowercase_	,  id=lowercase_			)




