






"""simple docstring"""







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_						:     str							  =   logging.get_logger(__name__)


lowerCAmelCase_						:     Any							  =   {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

lowerCAmelCase_						:     Union[str, 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_						:     Tuple							  =   {'facebook/blenderbot_small-90M': 5_1_2}






def    _lowerCAmelCase							(   lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase						     =      set()
       UpperCAmelCase						     =      word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)		)
              UpperCAmelCase						     =      char

       UpperCAmelCase						     =      set(A__		)
       return pairs





class 	UpperCamelCase_			(							__SCREAMING_SNAKE_CASE	):
  _A							:       int					=						VOCAB_FILES_NAMES
  _A							:       str					=						PRETRAINED_VOCAB_FILES_MAP
  _A							:       str					=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _A							:       Optional[int]					=						['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__			,		)      ->      Dict:



         """simple docstring"""





         super().__init__(unk_token=lowerCAmelCase__			,		bos_token=lowerCAmelCase__			,		eos_token=lowerCAmelCase__			,		pad_token=lowerCAmelCase__			,		**lowerCAmelCase__					)

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



  @property
  def 		UpperCamelCase_					(   self					)      ->      Tuple:



         """simple docstring"""





         return len(self.encoder					)



  def 		UpperCamelCase_					(   self					)      ->      str:



         """simple docstring"""





         return dict(self.encoder			,		**self.added_tokens_encoder					)



  def 		UpperCamelCase_					(   self			,		snake_case__					)      ->      Optional[int]:



         """simple docstring"""





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

         UpperCAmelCase						     =      token.split(""" """					)
         UpperCAmelCase						     =      []
         for token in tokens:
                if not len(lowerCAmelCase__					):
                       continue

                UpperCAmelCase						     =      token.lower()
                UpperCAmelCase						     =      tuple(lowerCAmelCase__					)
                UpperCAmelCase						     =      tuple(list(word[:-1]					) + [word[-1] + """</w>"""]					)
                UpperCAmelCase						     =      get_pairs(lowerCAmelCase__					)

                if not pairs:
                       words.append(lowerCAmelCase__					)
                       continue

                while True:
                       UpperCAmelCase						     =      min(lowerCAmelCase__			,		key=lambda snake_case__					: self.bpe_ranks.get(lowerCAmelCase__			,		float("""inf"""					)					)					)
                       if bigram not in self.bpe_ranks:
                              break
                       UpperCAmelCase						     =      bigram
                       UpperCAmelCase						     =      []
                       UpperCAmelCase						     =      0

                       while i < len(lowerCAmelCase__					):
                              try:
                                     UpperCAmelCase						     =      word.index(lowerCAmelCase__			,		lowerCAmelCase__					)
                                     new_word.extend(word[i:j]					)
                                     UpperCAmelCase						     =      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
                       UpperCAmelCase						     =      tuple(lowerCAmelCase__					)
                       UpperCAmelCase						     =      new_word
                       if len(lowerCAmelCase__					) == 1:
                              break
                       else:
                              UpperCAmelCase						     =      get_pairs(lowerCAmelCase__					)
                UpperCAmelCase						     =      '@@ '.join(lowerCAmelCase__					)
                UpperCAmelCase						     =      word[:-4]

                UpperCAmelCase						     =      word
                words.append(lowerCAmelCase__					)
         return " ".join(lowerCAmelCase__					)



  def 		UpperCamelCase_					(   self			,		snake_case__					)      ->      List[Any]:



         """simple docstring"""





         UpperCAmelCase						     =      []

         UpperCAmelCase						     =      re.findall(R"""\S+\n?"""			,		lowerCAmelCase__					)

         for token in words:
                split_tokens.extend(list(self.bpe(lowerCAmelCase__					).split(""" """					)					)					)
         return split_tokens



  def 		UpperCamelCase_					(   self			,		snake_case__					)      ->      Any:



         """simple docstring"""





         UpperCAmelCase						     =      token.lower()
         return self.encoder.get(lowerCAmelCase__			,		self.encoder.get(self.unk_token					)					)



  def 		UpperCamelCase_					(   self			,		snake_case__					)      ->      Tuple:



         """simple docstring"""





         return self.decoder.get(lowerCAmelCase__			,		self.unk_token					)



  def 		UpperCamelCase_					(   self			,		snake_case__					)      ->      Dict:



         """simple docstring"""





         UpperCAmelCase						     =      ' '.join(lowerCAmelCase__					).replace("""@@ """			,		""""""					).strip()
         return out_string



  def 		UpperCamelCase_					(   self			,		snake_case__			,		snake_case__ = None					)      ->      int:



         """simple docstring"""





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

         UpperCAmelCase						     =      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 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!"""					)
                              UpperCAmelCase						     =      token_index
                       writer.write(""" """.join(lowerCAmelCase__					) + """\n"""					)
                       index += 1

         return vocab_file, merge_file




from . import (
    albert,
    align,
    altclip,
    audio_spectrogram_transformer,
    auto,
    autoformer,
    bark,
    bart,
    barthez,
    bartpho,
    beit,
    bert,
    bert_generation,
    bert_japanese,
    bertweet,
    big_bird,
    bigbird_pegasus,
    biogpt,
    bit,
    blenderbot,
    blenderbot_small,
    blip,
    blip_a,
    bloom,
    bridgetower,
    byta,
    camembert,
    canine,
    chinese_clip,
    clap,
    clip,
    clipseg,
    codegen,
    conditional_detr,
    convbert,
    convnext,
    convnextva,
    cpm,
    cpmant,
    ctrl,
    cvt,
    dataavec,
    deberta,
    deberta_va,
    decision_transformer,
    deformable_detr,
    deit,
    deprecated,
    deta,
    detr,
    dialogpt,
    dinat,
    distilbert,
    dit,
    donut,
    dpr,
    dpt,
    efficientformer,
    efficientnet,
    electra,
    encodec,
    encoder_decoder,
    ernie,
    ernie_m,
    esm,
    falcon,
    flaubert,
    flava,
    fnet,
    focalnet,
    fsmt,
    funnel,
    git,
    glpn,
    gpta,
    gpt_bigcode,
    gpt_neo,
    gpt_neox,
    gpt_neox_japanese,
    gpt_swa,
    gptj,
    gptsan_japanese,
    graphormer,
    groupvit,
    herbert,
    hubert,
    ibert,
    imagegpt,
    informer,
    instructblip,
    jukebox,
    layoutlm,
    layoutlmva,
    layoutlmva,
    layoutxlm,
    led,
    levit,
    lilt,
    llama,
    longformer,
    longta,
    luke,
    lxmert,
    mam_aaa,
    marian,
    markuplm,
    maskaformer,
    maskformer,
    mbart,
    mbartaa,
    mega,
    megatron_bert,
    megatron_gpta,
    mgp_str,
    mluke,
    mobilebert,
    mobilenet_va,
    mobilenet_va,
    mobilevit,
    mobilevitva,
    mpnet,
    mra,
    mta,
    musicgen,
    mvp,
    nat,
    nezha,
    nllb,
    nllb_moe,
    nystromformer,
    oneformer,
    open_llama,
    openai,
    opt,
    owlvit,
    pegasus,
    pegasus_x,
    perceiver,
    phobert,
    pixastruct,
    plbart,
    poolformer,
    prophetnet,
    qdqbert,
    rag,
    realm,
    reformer,
    regnet,
    rembert,
    resnet,
    roberta,
    roberta_prelayernorm,
    roc_bert,
    roformer,
    rwkv,
    sam,
    segformer,
    sew,
    sew_d,
    speech_encoder_decoder,
    speech_to_text,
    speech_to_text_a,
    speechta,
    splinter,
    squeezebert,
    swiftformer,
    swin,
    swinasr,
    swinva,
    switch_transformers,
    ta,
    table_transformer,
    tapas,
    time_series_transformer,
    timesformer,
    timm_backbone,
    transfo_xl,
    trocr,
    tvlt,
    umta,
    unispeech,
    unispeech_sat,
    upernet,
    videomae,
    vilt,
    vision_encoder_decoder,
    vision_text_dual_encoder,
    visual_bert,
    vit,
    vit_hybrid,
    vit_mae,
    vit_msn,
    vivit,
    wavaveca,
    wavaveca_conformer,
    wavaveca_phoneme,
    wavaveca_with_lm,
    wavlm,
    whisper,
    x_clip,
    xglm,
    xlm,
    xlm_prophetnet,
    xlm_roberta,
    xlm_roberta_xl,
    xlnet,
    xmod,
    yolos,
    yoso,
)





