




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

import regex as re

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


lowerCamelCase__ :   Any					=							logging.get_logger(__name__)


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

lowerCamelCase__ :   Any					=							{
    "vocab_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"
    },
    "merges_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"
    },
    "tokenizer_config_file": {
        "facebook/blenderbot_small-90M": (
            "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"
        )
    },
}

lowerCamelCase__ :   Optional[Any]					=							{"facebook/blenderbot_small-90M": 512}

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[str]							)					-> List[Any]:
      SCREAMING_SNAKE_CASE_							=			set()
      SCREAMING_SNAKE_CASE_							=			word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)							)
            SCREAMING_SNAKE_CASE_							=			char

      SCREAMING_SNAKE_CASE_							=			set(__UpperCamelCase							)
      return pairs





class        lowerCamelCase_							(      SCREAMING_SNAKE_CASE__					):


 '''simple docstring'''







 lowercase_				    =    VOCAB_FILES_NAMES
 lowercase_				    =    PRETRAINED_VOCAB_FILES_MAP
 lowercase_				    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_				    =    ["input_ids", "attention_mask"]



 def __init__(							self  :		Dict				,				_lowerCAmelCase  :		Optional[Any]				,				_lowerCAmelCase  :		List[Any]				,				_lowerCAmelCase  :		Optional[Any]="__start__"				,				_lowerCAmelCase  :		Union[str, Any]="__end__"				,				_lowerCAmelCase  :		int="__unk__"				,				_lowerCAmelCase  :		Any="__null__"				,				**_lowerCAmelCase  :		List[str]				,				):
       super().__init__(unk_token=_lowerCAmelCase				,				bos_token=_lowerCAmelCase				,				eos_token=_lowerCAmelCase				,				pad_token=_lowerCAmelCase				,				**_lowerCAmelCase						)

       with open(_lowerCAmelCase				,				encoding='utf-8'						) as vocab_handle:
             SCREAMING_SNAKE_CASE_							=			json.load(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			{v: k for k, v in self.encoder.items()}
       with open(_lowerCAmelCase				,				encoding='utf-8'						) as merges_handle:
             SCREAMING_SNAKE_CASE_							=			merges_handle.read().split('\n'						)[1:-1]
       SCREAMING_SNAKE_CASE_							=			[tuple(merge.split()						) for merge in merges]
       SCREAMING_SNAKE_CASE_							=			dict(zip(_lowerCAmelCase				,				range(len(_lowerCAmelCase						)						)						)						)
       SCREAMING_SNAKE_CASE_							=			{}



 @property
 def       lowerCAmelCase_  (							self  :		List[Any]						):
       return len(self.encoder						)



 def       lowerCAmelCase_  (							self  :		Optional[Any]						):
       return dict(self.encoder				,				**self.added_tokens_encoder						)



 def       lowerCAmelCase_  (							self  :		Union[str, Any]				,				_lowerCAmelCase  :		str						):
       if token in self.cache:
             return self.cache[token]
       SCREAMING_SNAKE_CASE_							=			re.sub('([.,!?()])'				,				R' \1'				,				_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			re.sub('(\')'				,				R' \1 '				,				_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			re.sub(R'\s{2,}'				,				' '				,				_lowerCAmelCase						)
       if "\n" in token:
             SCREAMING_SNAKE_CASE_							=			token.replace('\n'				,				' __newln__'						)

       SCREAMING_SNAKE_CASE_							=			token.split(' '						)
       SCREAMING_SNAKE_CASE_							=			[]
       for token in tokens:
             if not len(_lowerCAmelCase						):
                   continue

             SCREAMING_SNAKE_CASE_							=			token.lower()
             SCREAMING_SNAKE_CASE_							=			tuple(_lowerCAmelCase						)
             SCREAMING_SNAKE_CASE_							=			tuple(list(word[:-1]						) + [word[-1] + '</w>']						)
             SCREAMING_SNAKE_CASE_							=			get_pairs(_lowerCAmelCase						)

             if not pairs:
                   words.append(_lowerCAmelCase						)
                   continue

             while True:
                   SCREAMING_SNAKE_CASE_							=			min(_lowerCAmelCase				,				key=lambda _lowerCAmelCase						: self.bpe_ranks.get(_lowerCAmelCase				,				float('inf'						)						)						)
                   if bigram not in self.bpe_ranks:
                         break
                   SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_							=			bigram
                   SCREAMING_SNAKE_CASE_							=			[]
                   SCREAMING_SNAKE_CASE_							=			0

                   while i < len(_lowerCAmelCase						):
                         try:
                               SCREAMING_SNAKE_CASE_							=			word.index(_lowerCAmelCase				,				_lowerCAmelCase						)
                               new_word.extend(word[i:j]						)
                               SCREAMING_SNAKE_CASE_							=			j
                         except ValueError:
                               new_word.extend(word[i:]						)
                               break

                         if word[i] == first and i < len(_lowerCAmelCase						) - 1 and word[i + 1] == second:
                               new_word.append(first + second						)
                               i += 2
                         else:
                               new_word.append(word[i]						)
                               i += 1
                   SCREAMING_SNAKE_CASE_							=			tuple(_lowerCAmelCase						)
                   SCREAMING_SNAKE_CASE_							=			new_word
                   if len(_lowerCAmelCase						) == 1:
                         break
                   else:
                         SCREAMING_SNAKE_CASE_							=			get_pairs(_lowerCAmelCase						)
             SCREAMING_SNAKE_CASE_							=			'@@ '.join(_lowerCAmelCase						)
             SCREAMING_SNAKE_CASE_							=			word[:-4]

             SCREAMING_SNAKE_CASE_							=			word
             words.append(_lowerCAmelCase						)
       return " ".join(_lowerCAmelCase						)



 def       lowerCAmelCase_  (							self  :		Any				,				_lowerCAmelCase  :		str						):
       SCREAMING_SNAKE_CASE_							=			[]

       SCREAMING_SNAKE_CASE_							=			re.findall(R'\S+\n?'				,				_lowerCAmelCase						)

       for token in words:
             split_tokens.extend(list(self.bpe(_lowerCAmelCase						).split(' '						)						)						)
       return split_tokens



 def       lowerCAmelCase_  (							self  :		List[Any]				,				_lowerCAmelCase  :		str						):
       SCREAMING_SNAKE_CASE_							=			token.lower()
       return self.encoder.get(_lowerCAmelCase				,				self.encoder.get(self.unk_token						)						)



 def       lowerCAmelCase_  (							self  :		List[Any]				,				_lowerCAmelCase  :		int						):
       return self.decoder.get(_lowerCAmelCase				,				self.unk_token						)



 def       lowerCAmelCase_  (							self  :		Tuple				,				_lowerCAmelCase  :		List[str]						):
       SCREAMING_SNAKE_CASE_							=			' '.join(_lowerCAmelCase						).replace('@@ '				,				''						).strip()
       return out_string




 def       lowerCAmelCase_  (							self  :		Union[str, Any]				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		Optional[str] = None						):
       if not os.path.isdir(_lowerCAmelCase						):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"						)
             return
       SCREAMING_SNAKE_CASE_							=			os.path.join(
           _lowerCAmelCase				,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)
       SCREAMING_SNAKE_CASE_							=			os.path.join(
           _lowerCAmelCase				,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']						)

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

       SCREAMING_SNAKE_CASE_							=			0
       with open(_lowerCAmelCase				,				'w'				,				encoding='utf-8'						) as writer:
             writer.write('#version: 0.2\n'						)
             for bpe_tokens, token_index in sorted(self.bpe_ranks.items()				,				key=lambda _lowerCAmelCase						: kv[1]						):
                   if index != token_index:
                         logger.warning(
                             F"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
                             ' Please check that the tokenizer is not corrupted!'						)
                         SCREAMING_SNAKE_CASE_							=			token_index
                   writer.write(' '.join(_lowerCAmelCase						) + '\n'						)
                   index += 1

       return vocab_file, merge_file
from functools import lru_cache


@lru_cache
def    a__       (						__UpperCamelCase ):
      if num < 0:
            raise ValueError("Number should not be negative." )

      return 1 if num in (0, 1) else num * factorial(num - 1 )


if __name__ == "__main__":
      import doctest

      doctest.testmod()


