

import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_xglm import XGLMTokenizer
else:
  lowercase_     =       None


lowercase_     =       logging.get_logger(__name__)

lowercase_     =       {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

lowercase_     =       {
    'vocab_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json',
    },
}

lowercase_     =       {
    'facebook/xglm-564M': 2_0_4_8,
}





class 			__lowerCAmelCase					( SCREAMING_SNAKE_CASE							):
  _a						      =  VOCAB_FILES_NAMES
  _a						      =  PRETRAINED_VOCAB_FILES_MAP
  _a						      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _a						      =  ["""input_ids""", """attention_mask"""]
  _a						      =  XGLMTokenizer




  def __init__(    self							,       lowerCAmelCase=None							,       lowerCAmelCase=None							,       lowerCAmelCase="<s>"							,       lowerCAmelCase="</s>"							,       lowerCAmelCase="</s>"							,       lowerCAmelCase="<s>"							,       lowerCAmelCase="<unk>"							,       lowerCAmelCase="<pad>"							,       **lowerCAmelCase							,       )  ->			str:
        '''simple docstring'''






        _lowercase     	=7
        _lowercase     	=[F'''<madeupword{i}>''' for i in range(self.num_madeup_words )]

        _lowercase     	=kwargs.get('additional_special_tokens'							,       [] )
        kwargs["additional_special_tokens"] += [
            word for word in madeup_words if word not in kwargs["additional_special_tokens"]
        ]

        super().__init__(
            lowerCAmelCase							,       tokenizer_file=lowerCAmelCase							,       bos_token=lowerCAmelCase							,       eos_token=lowerCAmelCase							,       sep_token=lowerCAmelCase							,       cls_token=lowerCAmelCase							,       unk_token=lowerCAmelCase							,       pad_token=lowerCAmelCase							,       **lowerCAmelCase							,       )

        _lowercase     	=vocab_file
        _lowercase     	=False if not self.vocab_file else True




  def   A__					(    self							,       lowerCAmelCase							,       lowerCAmelCase = None )  ->			List[int]:
        '''simple docstring'''






        if token_ids_a is None:
              return [self.sep_token_id] + token_ids_a
        _lowercase     	=[self.sep_token_id]
        return sep + token_ids_a + sep + sep + token_ids_a




  def   A__					(    self							,       lowerCAmelCase							,       lowerCAmelCase = None )  ->			List[int]:
        '''simple docstring'''






        _lowercase     	=[self.sep_token_id]

        if token_ids_a is None:
              return len(sep + token_ids_a ) * [0]
        return len(sep + token_ids_a + sep + sep + token_ids_a ) * [0]




  def   A__					(    self							,       lowerCAmelCase							,       lowerCAmelCase = None )  ->			Tuple[str]:
        '''simple docstring'''






        if not self.can_save_slow_tokenizer:
              raise ValueError(
                  'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
                  'tokenizer.' )

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

        if os.path.abspath(self.vocab_file ) != os.path.abspath(lowerCAmelCase ):
              copyfile(self.vocab_file							,       lowerCAmelCase )

        return (out_vocab_file,)





import warnings

from ...utils import logging
from .image_processing_vit import ViTImageProcessor


lowercase_     =       logging.get_logger(__name__)





class 			__lowerCAmelCase					( SCREAMING_SNAKE_CASE							):




  def __init__(    self							,       *lowerCAmelCase							,       **lowerCAmelCase )  ->			None:
        '''simple docstring'''






        warnings.warn(
            'The class ViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
            ' use ViTImageProcessor instead.'							,       lowerCAmelCase							,       )
        super().__init__(*lowerCAmelCase							,       **lowerCAmelCase )


