
from dataclasses import dataclass

lowerCamelCase_				:							Dict       =    "0.1"
lowerCamelCase_				:							Tuple       =    "Lucia Harcekova"







@dataclass
class  _lowerCamelCase			:
     lowercase__				  =			42
     lowercase__				  =			42
     lowercase__				  =			42

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







class  _lowerCamelCase			:

     def __init__(  self							,       SCREAMING_SNAKE_CASE_ = 13							,       SCREAMING_SNAKE_CASE_ = 6    ):
            __snake_case						       =   window_size
            __snake_case						       =   lookahead_buffer_size
            __snake_case						       =   self.window_size - self.lookahead_buffer_size

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_    ):
            __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(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    )

                   # 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(SCREAMING_SNAKE_CASE_    ) > 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(SCREAMING_SNAKE_CASE_    )

            return output

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_    ):
            __snake_case						       =   ''

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

            return output

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    ):

            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(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       text[length]    )

            for i, character in enumerate(SCREAMING_SNAKE_CASE_    ):
                   __snake_case						       =   len(SCREAMING_SNAKE_CASE_    ) - i
                   if character == text[0]:
                          __snake_case						       =   self._match_length_from_index(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       0							,       SCREAMING_SNAKE_CASE_    )
                          # 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(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       text[length]    )

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


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

 testmod()
 # Initialize compressor class
 lowerCamelCase_				:							List[str]       =    LZaaCompressor(window_size=13, lookahead_buffer_size=6)

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


import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class  _lowerCamelCase			(lowerCamelCase							,					unittest.TestCase					):
     lowercase__				  =			HerbertTokenizer
     lowercase__				  =			HerbertTokenizerFast
     lowercase__				  =			True

     def 						__lowerCamelCase				(  self    ):
            super().setUp()

            # Use a simpler test file without japanese/chinese characters
            with open(f'''{get_tests_dir()}/fixtures/sample_text_no_unicode.txt'''							,       encoding='utf-8'    ) as f_data:
                   __snake_case						       =   f_data.read().replace('\n\n'							,       '\n'    ).strip()

            __snake_case						       =   [
                '<s>',
                '</s>',
                'l',
                'o',
                'w',
                'e',
                'r',
                's',
                't',
                'i',
                'd',
                'n',
                'w</w>',
                'r</w>',
                't</w>',
                'lo',
                'low',
                'er</w>',
                'low</w>',
                'lowest</w>',
                'newer</w>',
                'wider</w>',
                ',</w>',
                '<unk>',
            ]
            __snake_case						       =   dict(zip(SCREAMING_SNAKE_CASE_							,       range(len(SCREAMING_SNAKE_CASE_    )    )    )    )
            __snake_case						       =   ['l o 123', 'lo w 1456', 'e r</w> 1789', '']

            __snake_case						       =   os.path.join(self.tmpdirname							,       VOCAB_FILES_NAMES['vocab_file']    )
            __snake_case						       =   os.path.join(self.tmpdirname							,       VOCAB_FILES_NAMES['merges_file']    )
            with open(self.vocab_file							,       'w'    ) as fp:
                   fp.write(json.dumps(SCREAMING_SNAKE_CASE_    )    )
            with open(self.merges_file							,       'w'    ) as fp:
                   fp.write('\n'.join(SCREAMING_SNAKE_CASE_    )    )

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_    ):
            __snake_case						       =   'lower newer'
            __snake_case						       =   'lower newer'
            return input_text, output_text

     def 						__lowerCamelCase				(  self    ):
            __snake_case						       =   self.tokenizer_class(vocab_file=self.vocab_file							,       merges_file=self.merges_file    )

            __snake_case						       =   'lower'
            __snake_case						       =   ['low', 'er</w>']
            __snake_case						       =   tokenizer.tokenize(SCREAMING_SNAKE_CASE_    )
            self.assertListEqual(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    )

            __snake_case						       =   tokens + ['<unk>']
            __snake_case						       =   [16, 17, 23]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_    )							,       SCREAMING_SNAKE_CASE_    )

     def 						__lowerCamelCase				(  self    ):
            if not self.test_rust_tokenizer:
                   return

            __snake_case						       =   self.get_tokenizer()
            __snake_case						       =   self.get_rust_tokenizer()

            __snake_case						       =   'lower,newer'

            __snake_case						       =   tokenizer.tokenize(SCREAMING_SNAKE_CASE_    )
            __snake_case						       =   rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE_    )
            self.assertListEqual(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    )

            __snake_case						       =   tokenizer.encode(SCREAMING_SNAKE_CASE_							,       add_special_tokens=SCREAMING_SNAKE_CASE_    )
            __snake_case						       =   rust_tokenizer.encode(SCREAMING_SNAKE_CASE_							,       add_special_tokens=SCREAMING_SNAKE_CASE_    )
            self.assertListEqual(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    )

            __snake_case						       =   self.get_rust_tokenizer()
            __snake_case						       =   tokenizer.encode(SCREAMING_SNAKE_CASE_    )
            __snake_case						       =   rust_tokenizer.encode(SCREAMING_SNAKE_CASE_    )
            self.assertListEqual(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    )

     @slow
     def 						__lowerCamelCase				(  self    ):
            __snake_case						       =   self.tokenizer_class.from_pretrained('allegro/herbert-base-cased'    )

            __snake_case						       =   tokenizer.encode('konstruowanie sekwencji'							,       add_special_tokens=SCREAMING_SNAKE_CASE_    )
            __snake_case						       =   tokenizer.encode('konstruowanie wielu sekwencji'							,       add_special_tokens=SCREAMING_SNAKE_CASE_    )

            __snake_case						       =   tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_    )
            __snake_case						       =   tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    )

            assert encoded_sentence == [0] + text + [2]
            assert encoded_pair == [0] + text + [2] + text_a + [2]
