






from dataclasses import dataclass

lowerCamelCase__           =				'0.1'
lowerCamelCase__           =				'Lucia Harcekova'




@dataclass
class 					UpperCamelCase	:
					__UpperCamelCase						=   42
					__UpperCamelCase						=   42
					__UpperCamelCase						=   42




					def __repr__( self :					List[Any]						):


							"""simple docstring"""




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




class 					UpperCamelCase	:




					def __init__( self :					Tuple      ,_lowerCAmelCase :					Tuple = 13      ,_lowerCAmelCase :					Union[str, Any] = 6						):


							"""simple docstring"""




							__snake_case		       =     window_size
							__snake_case		       =     lookahead_buffer_size
							__snake_case		       =     self.window_size - self.lookahead_buffer_size




					def 							UpperCamelCase_						( self :					Union[str, Any]      ,_lowerCAmelCase :					Tuple						):


							"""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(_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:
											__snake_case		       =     search_buffer[-self.search_buffer_size :]

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

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

							return output




					def 							UpperCamelCase_						( self :					Dict      ,_lowerCAmelCase :					int						):


							"""simple docstring"""




							__snake_case		       =     """"""

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

							return output




					def 							UpperCamelCase_						( self :					Optional[Any]      ,_lowerCAmelCase :					Any      ,_lowerCAmelCase :					Union[str, Any]						):


							"""simple docstring"""




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

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

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

							for i, character in enumerate(_lowerCamelCase						):
									__snake_case		       =     len(_lowerCamelCase						) - i
									if character == text[0]:
											__snake_case		       =     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:
													__snake_case		       =     found_offset, found_length

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







					def 							UpperCamelCase_						( self :					int      ,_lowerCAmelCase :					Union[str, Any]      ,_lowerCAmelCase :					Optional[int]      ,_lowerCAmelCase :					Any      ,_lowerCAmelCase :					Optional[int]						):


							"""simple docstring"""




							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."






import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_reformer import ReformerTokenizer
else:
		lowerCamelCase__           =				None


lowerCamelCase__           =				logging.get_logger(__name__)


lowerCamelCase__           =				'▁'

lowerCamelCase__           =				{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase__           =				{
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    },
    'tokenizer_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'
        )
    },
}

lowerCamelCase__           =				{
    'google/reformer-crime-and-punishment': 52_42_88,
}




class 					UpperCamelCase	(     snake_case__      ):
					__UpperCamelCase						=   VOCAB_FILES_NAMES
					__UpperCamelCase						=   PRETRAINED_VOCAB_FILES_MAP
					__UpperCamelCase						=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__UpperCamelCase						=   ["""input_ids""", """attention_mask"""]
					__UpperCamelCase						=   ReformerTokenizer




					def __init__( self :					Tuple      ,_lowerCAmelCase :					Dict=None      ,_lowerCAmelCase :					Union[str, Any]=None      ,_lowerCAmelCase :					int="</s>"      ,_lowerCAmelCase :					Dict="<unk>"      ,_lowerCAmelCase :					Dict=[]      ,**_lowerCAmelCase :					Optional[Any]      ,):


							"""simple docstring"""




							super().__init__(
							    _lowerCAmelCase      ,tokenizer_file=_lowerCAmelCase      ,eos_token=_lowerCAmelCase      ,unk_token=_lowerCAmelCase      ,additional_special_tokens=_lowerCAmelCase      ,**_lowerCAmelCase      ,)

							__snake_case		       =     vocab_file
							__snake_case		       =     False if not self.vocab_file else True







					def 							UpperCamelCase_						( self :					Dict      ,_lowerCAmelCase :					str      ,_lowerCAmelCase :					Optional[str] = None						):


							"""simple docstring"""




							if not self.can_save_slow_tokenizer:
									raise ValueError(
									    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
									    "tokenizer."						)

							if not os.path.isdir(_lowerCAmelCase						):
									logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""						)
									return
							__snake_case		       =     os.path.join(
							    _lowerCAmelCase      ,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

							if os.path.abspath(self.vocab_file						) != os.path.abspath(_lowerCAmelCase						):
									copyfile(self.vocab_file      ,_lowerCAmelCase						)

							return (out_vocab_file,)





