

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

import regex as re

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


_UpperCAmelCase	:     Optional[Any]		       = logging.get_logger(__name__)


_UpperCAmelCase	:     Optional[Any]		       = {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

_UpperCAmelCase	:     Optional[int]		       = {
    """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"""
        )
    },
}

_UpperCAmelCase	:     List[str]		       = {"""facebook/blenderbot_small-90M""": 512}





def       __lowerCamelCase			(				UpperCamelCase__   ):







       '''simple docstring'''






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

       snake_case_           =					set(lowerCAmelCase__   )
       return pairs







class 				lowercase       ( __SCREAMING_SNAKE_CASE    ):
    __SCREAMING_SNAKE_CASE      :				int     =    VOCAB_FILES_NAMES
    __SCREAMING_SNAKE_CASE      :				Union[str, Any]     =    PRETRAINED_VOCAB_FILES_MAP
    __SCREAMING_SNAKE_CASE      :				Optional[Any]     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __SCREAMING_SNAKE_CASE      :				str     =    ['input_ids', 'attention_mask']




    def __init__(      self   ,     snake_case   ,     snake_case   ,     snake_case="__start__"   ,     snake_case="__end__"   ,     snake_case="__unk__"   ,     snake_case="__null__"   ,     **snake_case   ,     ):
           super().__init__(unk_token=_a   ,     bos_token=_a   ,     eos_token=_a   ,     pad_token=_a   ,     **_a )

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




    @property
    def 					a							(      self ):
           return len(self.encoder )




    def 					a							(      self ):
           return dict(self.encoder   ,     **self.added_tokens_encoder )




    def 					a							(      self   ,     snake_case ):
           if token in self.cache:
                  return self.cache[token]
           snake_case_           =					re.sub('([.,!?()])'   ,     R' \1'   ,     _a )
           snake_case_           =					re.sub('(\')'   ,     R' \1 '   ,     _a )
           snake_case_           =					re.sub(R'\s{2,}'   ,     ' '   ,     _a )
           if "\n" in token:
                  snake_case_           =					token.replace('\n'   ,     ' __newln__' )

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

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

                  if not pairs:
                         words.append(_a )
                         continue

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

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

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

                  snake_case_           =					word
                  words.append(_a )
           return " ".join(_a )




    def 					a							(      self   ,     snake_case ):
           snake_case_           =					[]

           snake_case_           =					re.findall(R'\S+\n?'   ,     _a )

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




    def 					a							(      self   ,     snake_case ):
           snake_case_           =					token.lower()
           return self.encoder.get(_a   ,     self.encoder.get(self.unk_token ) )




    def 					a							(      self   ,     snake_case ):
           return self.decoder.get(_a   ,     self.unk_token )




    def 					a							(      self   ,     snake_case ):
           snake_case_           =					' '.join(_a ).replace('@@ '   ,     '' ).strip()
           return out_string




    def 					a							(      self   ,     snake_case   ,     snake_case = None ):
           if not os.path.isdir(_a ):
                  logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
                  return
           snake_case_           =					os.path.join(
               _a   ,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )
           snake_case_           =					os.path.join(
               _a   ,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'] )

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

           snake_case_           =					0
           with open(_a   ,     '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 snake_case : 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!' )
                                snake_case_           =					token_index
                         writer.write(' '.join(_a ) + '\n' )
                         index += 1

           return vocab_file, merge_file







import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


_UpperCAmelCase	:     Any		       = logging.get_logger(__name__)







class 				lowercase       ( lowercase_    ):




				def __init__(      self   ,     *snake_case   ,     **snake_case ):
											warnings.warn(
											    'The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
											    ' Please use DeformableDetrImageProcessor instead.'   ,     snake_case   ,     )
											super().__init__(*snake_case   ,     **snake_case )




