


'''simple docstring'''

import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase__				     =		logging.get_logger(__name__)


lowercase__				     =		{
    "vocab_file": "vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
    "merges_file": "merges.txt",
}

lowercase__				     =		{
    "vocab_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json"
        ),
    },
    "tokenizer_config_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json"
        ),
    },
    "merges_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt"
        ),
    },
}

lowercase__				     =		"</w>"
lowercase__				     =		"@@ "






def __UpperCamelCase   (			__lowerCamelCase		: Optional[Any]				)      ->     int:







     '''simple docstring'''






     _a						=		set()
     _a						=		word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)				)
          _a						=		char
     return pairs


# Speech2Text2 has no max input length
lowercase__				     =		{"facebook/s2t-wav2vec2-large-en-de": 1_024}






class 						__SCREAMING_SNAKE_CASE					(      lowerCamelCase__ ):
     UpperCAmelCase 					=				VOCAB_FILES_NAMES
     UpperCAmelCase 					=				PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase 					=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCAmelCase 					=				['''input_ids''', '''attention_mask''']






     def __init__(			self     ,							__UpperCamelCase     ,							__UpperCamelCase="<s>"     ,							__UpperCamelCase="<pad>"     ,							__UpperCamelCase="</s>"     ,							__UpperCamelCase="<unk>"     ,							__UpperCamelCase=False     ,							__UpperCamelCase=None     ,							**__UpperCamelCase     ,							)       ->    List[str]:
          super().__init__(
              unk_token=__UpperCamelCase     ,							bos_token=__UpperCamelCase     ,							eos_token=__UpperCamelCase     ,							pad_token=__UpperCamelCase     ,							do_lower_case=__UpperCamelCase     ,							**__UpperCamelCase     ,							)

          _a						=		do_lower_case

          with open(__UpperCamelCase     ,							encoding="utf-8"		) as vocab_handle:
               _a						=		json.load(__UpperCamelCase		)
          _a						=		{v: k for k, v in self.encoder.items()}

          if merges_file is None:
               logger.info(f"No merges files provided. {self.__class__.__name__} can only be used for decoding."		)

               _a						=		None
               _a						=		None
          else:
               with open(__UpperCamelCase     ,							encoding="utf-8"		) as merges_handle:
                    _a						=		merges_handle.read().split("\n"		)[:-1]

               _a						=		[tuple(merge.split()[:2]		) for merge in merges]
               _a						=		dict(zip(__UpperCamelCase     ,							range(len(__UpperCamelCase		)		)		)		)
               _a						=		{}






     @property
     def  a_					(			self		)       ->    int:
          return len(self.decoder		)






     def  a_					(			self		)       ->    Dict:
          return dict(self.encoder     ,							**self.added_tokens_encoder		)






     def  a_					(			self     ,							__UpperCamelCase		)       ->    List[Any]:
          _a						=		tuple(token[:-1]		) + (token[-1] + BPE_TOKEN_MERGES,)
          if token in self.cache:
               return self.cache[token]
          _a						=		get_pairs(__UpperCamelCase		)

          if not pairs:
               return token

          while True:
               _a						=		min(__UpperCamelCase     ,							key=lambda __UpperCamelCase		: self.bpe_ranks.get(__UpperCamelCase     ,							float("inf"		)		)		)
               if bigram not in self.bpe_ranks:
                    break
               _a			,			_a						=		bigram
               _a						=		[]
               _a						=		0
               while i < len(__UpperCamelCase		):
                    try:
                         _a						=		word.index(__UpperCamelCase     ,							__UpperCamelCase		)
                    except ValueError:
                         new_word.extend(word[i:]		)
                         break
                    else:
                         new_word.extend(word[i:j]		)
                         _a						=		j

                    if word[i] == first and i < len(__UpperCamelCase		) - 1 and word[i + 1] == second:
                         new_word.append(first + second		)
                         i += 2
                    else:
                         new_word.append(word[i]		)
                         i += 1
               _a						=		tuple(__UpperCamelCase		)
               _a						=		new_word
               if len(__UpperCamelCase		) == 1:
                    break
               else:
                    _a						=		get_pairs(__UpperCamelCase		)
          _a						=		" ".join(__UpperCamelCase		)
          if word == "\n  " + BPE_TOKEN_MERGES:
               _a						=		"\n" + BPE_TOKEN_MERGES

          if word.endswith(__UpperCamelCase		):
               _a						=		word.replace(__UpperCamelCase     ,							""		)

          _a						=		word.replace(" "     ,							__UpperCamelCase		)
          _a						=		word
          return word






     def  a_					(			self     ,							__UpperCamelCase		)       ->    List[Any]:

          if self.bpe_ranks is None:
               raise ValueError(
                   "This tokenizer was instantiated without a `merges.txt` file, so"
                   " that it can only be used for decoding, not for encoding."
                   "Make sure to provide `merges.txt` file at instantiation to enable "
                   "encoding."		)

          if self.do_lower_case:
               _a						=		text.lower()

          _a						=		text.split()

          _a						=		[]
          for token in text:
               if token:
                    split_tokens.extend(list(self.bpe(__UpperCamelCase		).split(" "		)		)		)

          return split_tokens






     def  a_					(			self     ,							__UpperCamelCase		)       ->    int:
          return self.encoder.get(__UpperCamelCase     ,							self.encoder.get(self.unk_token		)		)






     def  a_					(			self     ,							__UpperCamelCase		)       ->    str:
          _a						=		self.decoder.get(__UpperCamelCase     ,							self.unk_token		)
          return result






     def  a_					(			self     ,							__UpperCamelCase		)       ->    str:
          _a						=		" ".join(__UpperCamelCase		)

          # make sure @@ tokens are concatenated
          _a						=		"".join(string.split(__UpperCamelCase		)		)

          return string






     def  a_					(			self     ,							__UpperCamelCase     ,							__UpperCamelCase = None		)       ->    Tuple[str]:
          if not os.path.isdir(__UpperCamelCase		):
               logger.error(f"Vocabulary path ({save_directory}) should be a directory"		)
               return
          _a						=		os.path.join(
              __UpperCamelCase     ,							(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
          _a						=		os.path.join(
              __UpperCamelCase     ,							(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]		)

          with open(__UpperCamelCase     ,							"w"     ,							encoding="utf-8"		) as f:
               f.write(json.dumps(self.encoder     ,							indent=2     ,							sort_keys=__UpperCamelCase     ,							ensure_ascii=__UpperCamelCase		) + "\n"		)

          _a						=		0
          if self.bpe_ranks is None:
               return (vocab_file,)

          with open(__UpperCamelCase     ,							"w"     ,							encoding="utf-8"		) as writer:
               for bpe_tokens, token_index in sorted(self.bpe_ranks.items()     ,							key=lambda __UpperCamelCase		: kv[1]		):
                    if index != token_index:
                         logger.warning(
                             f"Saving vocabulary to {merges_file}: BPE merge indices are not consecutive."
                             " Please check that the tokenizer is not corrupted!"		)
                         _a						=		token_index
                    writer.write(" ".join(__UpperCamelCase		) + "\n"		)
                    index += 1

          return (vocab_file, merges_file)





'''simple docstring'''

lowercase__				     =		256
# Modulus to hash a string
lowercase__				     =		1_000_003






def __UpperCamelCase   (			__lowerCamelCase		: str      ,  __lowerCamelCase		: str				)      ->     bool:







     '''simple docstring'''






     _a						=		len(__lowerCamelCase				)
     _a						=		len(__lowerCamelCase				)
     if p_len > t_len:
          return False

     _a						=		0
     _a						=		0
     _a						=		1

     # Calculating the hash of pattern and substring of text
     for i in range(__lowerCamelCase				):
          _a						=		(ord(pattern[i]				) + p_hash * alphabet_size) % modulus
          _a						=		(ord(text[i]				) + text_hash * alphabet_size) % modulus
          if i == p_len - 1:
               continue
          _a						=		(modulus_power * alphabet_size) % modulus

     for i in range(0      ,  t_len - p_len + 1				):
          if text_hash == p_hash and text[i : i + p_len] == pattern:
               return True
          if i == t_len - p_len:
               continue
          # Calculate the https://en.wikipedia.org/wiki/Rolling_hash
          _a						=		(
              (text_hash - ord(text[i]				) * modulus_power) * alphabet_size
              + ord(text[i + p_len]				)
          ) % modulus
     return False






def __UpperCamelCase   (			)      ->     None:







     '''simple docstring'''






     _a						=		"abc1abc12"
     _a						=		"alskfjaldsabc1abc1abc12k23adsfabcabc"
     _a						=		"alskfjaldsk23adsfabcabc"
     assert rabin_karp(__lowerCamelCase      ,  __lowerCamelCase				) and not rabin_karp(__lowerCamelCase      ,  __lowerCamelCase				)

     # Test 2)
     _a						=		"ABABX"
     _a						=		"ABABZABABYABABX"
     assert rabin_karp(__lowerCamelCase      ,  __lowerCamelCase				)

     # Test 3)
     _a						=		"AAAB"
     _a						=		"ABAAAAAB"
     assert rabin_karp(__lowerCamelCase      ,  __lowerCamelCase				)

     # Test 4)
     _a						=		"abcdabcy"
     _a						=		"abcxabcdabxabcdabcdabcy"
     assert rabin_karp(__lowerCamelCase      ,  __lowerCamelCase				)

     # Test 5)
     _a						=		"Lü"
     _a						=		"Lüsai"
     assert rabin_karp(__lowerCamelCase      ,  __lowerCamelCase				)
     _a						=		"Lue"
     assert not rabin_karp(__lowerCamelCase      ,  __lowerCamelCase				)
     print("Success."				)


if __name__ == "__main__":
   test_rabin_karp()

