




'''simple docstring'''





from dataclasses import dataclass

_SCREAMING_SNAKE_CASE							:     Any   	=				"0.1"
_SCREAMING_SNAKE_CASE							:     str   	=				"Lucia Harcekova"




@dataclass
class 				_snake_case	:
   lowerCAmelCase_  :   int
   lowerCAmelCase_  :   int
   lowerCAmelCase_  :   str




   def __repr__(      self							)       ->       str:

          '''simple docstring'''




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




class 				_snake_case	:




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

          '''simple docstring'''




          snake_case_			      =   window_size
          snake_case_			      =   lookahead_buffer_size
          snake_case_			      =   self.window_size - self.lookahead_buffer_size




   def      lowerCAmelCase__       (      self       ,							a__							)       ->       list[Token]:

          '''simple docstring'''




          snake_case_			      =   []
          snake_case_			      =   ""

          # 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)
                 snake_case_			      =   self._find_encoding_token(a__       ,							a__							)

                 # 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(a__							) > self.search_buffer_size:
                        snake_case_			      =   search_buffer[-self.search_buffer_size :]

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

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

          return output




   def      lowerCAmelCase__       (      self       ,							a__							)       ->       str:

          '''simple docstring'''




          snake_case_			      =   ""

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

          return output




   def      lowerCAmelCase__       (      self       ,							a__       ,							a__							)       ->       Token:

          '''simple docstring'''




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

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

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

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

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




   def      lowerCAmelCase__       (      self       ,							a__       ,							a__       ,							a__       ,							a__							)       ->       int:

          '''simple docstring'''




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


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

  testmod()
  # Initialize compressor class
  _SCREAMING_SNAKE_CASE							:     int   	=				LZaaCompressor(window_size=13, lookahead_buffer_size=6)

  # Example
  _SCREAMING_SNAKE_CASE							:     Tuple   	=				"cabracadabrarrarrad"
  _SCREAMING_SNAKE_CASE							:     Optional[int]   	=				lzaa_compressor.compress(TEXT)
  print(lzaa_compressor.compress("ababcbababaa"))
  _SCREAMING_SNAKE_CASE							:     Optional[int]   	=				lzaa_compressor.decompress(compressed_text)
  assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."










'''simple docstring'''





import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils




class 				_snake_case	(			unittest.TestCase							):




			@patch("diffusers.utils.hub_utils.get_full_repo_name"							)
			def      lowerCAmelCase__       (      self       ,							a__							)       ->       None:

										'''simple docstring'''




										snake_case_			      =   "full_repo_name"
										with TemporaryDirectory() as tmpdir:
																	# Dummy args values
																	snake_case_			      =   Mock()
																	snake_case_			      =   tmpdir
																	snake_case_			      =   0
																	snake_case_			      =   "hub_token"
																	snake_case_			      =   "dataset_name"
																	snake_case_			      =   0.0_1
																	snake_case_			      =   100_000
																	snake_case_			      =   10_000
																	snake_case_			      =   0.0_1
																	snake_case_			      =   0.0_2
																	snake_case_			      =   0.0_3
																	snake_case_			      =   0.0_0_0_5
																	snake_case_			      =   0.0_0_0_0_0_1
																	snake_case_			      =   1
																	snake_case_			      =   10
																	snake_case_			      =   0.0_0_1
																	snake_case_			      =   0.1
																	snake_case_			      =   0.2
																	snake_case_			      =   True

																	# Model card mush be rendered and saved
																	diffusers.utils.hub_utils.create_model_card(a__       ,							model_name="model_name"							)
																	self.assertTrue((Path(a__							) / "README.md").is_file()							)




