code: 
  
  
  
  
  
  import inspect
  import json
  import os
  import tempfile
  import unittest
  
  from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
  from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES
  
  from ...test_tokenization_common import TokenizerTesterMixin
  
  
  
  
  class   _UpperCAmelCase	(   _lowercase ,       unittest.TestCase					):
  					__A          =   SpeechaTextaTokenizer
  					__A          =   False
  
  
  
  
  					def 	snake_case_		(						self       )						->  Optional[int]:
  							super().setUp()
  
  							UpperCamelCase__         =	"""<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab""".split(""" """       )
  							UpperCamelCase__         =	["""he re</w> 123""", """here a 1456"""]
  							UpperCamelCase__         =	dict(zip(__lowerCAmelCase    ,      range(len(__lowerCAmelCase       )       )       )       )
  
  							UpperCamelCase__         =	{"""pad_token""": """<pad>""", """unk_token""": """<unk>""", """bos_token""": """<s>""", """eos_token""": """</s>"""}
  
  							UpperCamelCase__         =	tempfile.mkdtemp()
  							UpperCamelCase__         =	os.path.join(self.tmpdirname    ,      VOCAB_FILES_NAMES["""vocab_file"""]       )
  							UpperCamelCase__         =	os.path.join(self.tmpdirname    ,      VOCAB_FILES_NAMES["""merges_file"""]       )
  
  							with open(self.vocab_file    ,      """w"""    ,      encoding="""utf-8"""       ) as fp:
  									fp.write(json.dumps(__lowerCAmelCase       ) + """\n"""       )
  
  							with open(self.merges_file    ,      """w"""       ) as fp:
  									fp.write("""\n""".join(__lowerCAmelCase       )       )
  
  
  
  
  					def 	snake_case_		(						self       )						->  Tuple:
  							UpperCamelCase__         =	list(self.get_tokenizer().get_vocab().keys()       )
  
  							self.assertEqual(vocab_keys[0]    ,      """<s>"""       )
  							self.assertEqual(vocab_keys[1]    ,      """<pad>"""       )
  							self.assertEqual(vocab_keys[-1]    ,      """vocab"""       )
  							self.assertEqual(len(__lowerCAmelCase       )    ,      14       )
  
  
  
  
  					def 	snake_case_		(						self       )						->  Optional[Any]:
  							self.assertEqual(self.get_tokenizer().vocab_size    ,      14       )
  
  
  
  
  					def 	snake_case_		(						self       )						->  Optional[Any]:
  							UpperCamelCase__         =	SpeechaTextaTokenizer.from_pretrained(self.tmpdirname       )
  
  							# make sure @@ is correctly concatenated
  							UpperCamelCase__         =	[4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
  							UpperCamelCase__         =	tokenizer.decode(__lowerCAmelCase       )
  
  							self.assertTrue(output_string == """herecouple words ofthe"""       )
  
  
  
  
  					def 	snake_case_		(						self       )						->  str:
  							UpperCamelCase__         =	SpeechaTextaTokenizer.from_pretrained(self.tmpdirname       )
  
  							with tempfile.TemporaryDirectory() as tmp_dirname:
  									tokenizer.save_pretrained(__lowerCAmelCase       )
  									os.remove(os.path.join(__lowerCAmelCase    ,      """merges.txt"""       )       )
  
  									# load tokenizer without merges file should not throw an error
  									UpperCamelCase__         =	SpeechaTextaTokenizer.from_pretrained(__lowerCAmelCase       )
  
  							with tempfile.TemporaryDirectory() as tmp_dirname:
  									# save tokenizer and load again
  									tokenizer.save_pretrained(__lowerCAmelCase       )
  									UpperCamelCase__         =	SpeechaTextaTokenizer.from_pretrained(__lowerCAmelCase       )
  
  							self.assertIsNotNone(__lowerCAmelCase       )
  
  
  
  
  					def 	snake_case_		(						self       )						->  Optional[int]:
  							if not self.test_slow_tokenizer:
  									return
  
  							UpperCamelCase__         =	inspect.signature(self.tokenizer_class.__init__       )
  							UpperCamelCase__         =	self.get_tokenizer()
  
  							for parameter_name, parameter in signature.parameters.items():
  									if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
  											self.assertIn(__lowerCAmelCase    ,      tokenizer.init_kwargs       )
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  from dataclasses import dataclass
  
  __lowerCAmelCase     =			"0.1"
  __lowerCAmelCase     =			"Lucia Harcekova"
  
  
  
  
  @dataclass
  class   _UpperCAmelCase	:
  					__A          =   42
  					__A          =   42
  					__A          =   42
  
  
  
  
  					def __repr__(						self       )						->  str:
  							return F"""({self.offset}, {self.length}, {self.indicator})"""
  
  
  
  
  class   _UpperCAmelCase	:
  
  
  
  
  					def __init__(						self    ,      __lowerCAmelCase = 13    ,      __lowerCAmelCase = 6       )						->  None:
  							UpperCamelCase__         =	window_size
  							UpperCamelCase__         =	lookahead_buffer_size
  							UpperCamelCase__         =	self.window_size - self.lookahead_buffer_size
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase       )						->  list[Token]:
  							UpperCamelCase__         =	[]
  							UpperCamelCase__         =	""""""
  
  							# 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__         =	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:
  											UpperCamelCase__         =	search_buffer[-self.search_buffer_size :]
  
  									# update the text
  									UpperCamelCase__         =	text[token.length + 1 :]
  
  									# append the token to output
  									output.append(__lowerCAmelCase       )
  
  							return output
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase       )						->  str:
  							UpperCamelCase__         =	""""""
  
  							for token in tokens:
  									for _ in range(token.length       ):
  											output += output[-token.offset]
  									output += token.indicator
  
  							return output
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase    ,      __lowerCAmelCase       )						->  Token:
  
  							if not text:
  									raise ValueError("""We need some text to work with."""       )
  
  							# Initialise result parameters to default values
  							UpperCamelCase__  ,			UpperCamelCase__         =	0, 0
  
  							if not search_buffer:
  									return Token(__lowerCAmelCase    ,      __lowerCAmelCase    ,      text[length]       )
  
  							for i, character in enumerate(__lowerCAmelCase       ):
  									UpperCamelCase__         =	len(__lowerCAmelCase       ) - i
  									if character == text[0]:
  											UpperCamelCase__         =	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:
  													UpperCamelCase__  ,			UpperCamelCase__         =	found_offset, found_length
  
  							return Token(__lowerCAmelCase    ,      __lowerCAmelCase    ,      text[length]       )
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase    ,      __lowerCAmelCase    ,      __lowerCAmelCase    ,      __lowerCAmelCase       )						->  int:
  							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
  				__lowerCAmelCase     =			LZaaCompressor(window_size=13, lookahead_buffer_size=6)
  
  				# Example
  				__lowerCAmelCase     =			"cabracadabrarrarrad"
  				__lowerCAmelCase     =			lzaa_compressor.compress(TEXT)
  				print(lzaa_compressor.compress("ababcbababaa"))
  				__lowerCAmelCase     =			lzaa_compressor.decompress(compressed_text)
  				assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."
  
  
  
  
  
  