





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:
      lowerCAmelCase_        =			None


lowerCAmelCase_        =			logging.get_logger(__name__)

lowerCAmelCase_        =			{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

lowerCAmelCase_        =			{
    """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""",
    },
}

lowerCAmelCase_        =			{
    """facebook/xglm-564M""": 2048,
}



class 				_lowerCAmelCase			(	UpperCAmelCase_							):


  '''simple docstring'''
  a_							:				List[Any]					    =VOCAB_FILES_NAMES
  a_							:				int					    =PRETRAINED_VOCAB_FILES_MAP
  a_							:				Tuple					    =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  a_							:				List[Any]					    =["""input_ids""", """attention_mask"""]
  a_							:				List[Any]					    =XGLMTokenizer







  def __init__(					self					:    List[str]					, UpperCamelCase					:    int=None					, UpperCamelCase					:    Union[str, Any]=None					, UpperCamelCase					:    Optional[Any]="<s>"					, UpperCamelCase					:    Any="</s>"					, UpperCamelCase					:    List[Any]="</s>"					, UpperCamelCase					:    Optional[Any]="<s>"					, UpperCamelCase					:    Union[str, Any]="<unk>"					, UpperCamelCase					:    int="<pad>"					, **UpperCamelCase					:    Union[str, Any]					, ):


    '''simple docstring'''





    _snake_case      : Optional[Any]														=		7
    _snake_case      : Optional[Any]														=		[f"""<madeupword{i}>""" for i in range(self.num_madeup_words							)]

    _snake_case      : Any														=		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__(
        UpperCamelCase					, tokenizer_file=UpperCamelCase					, bos_token=UpperCamelCase					, eos_token=UpperCamelCase					, sep_token=UpperCamelCase					, cls_token=UpperCamelCase					, unk_token=UpperCamelCase					, pad_token=UpperCamelCase					, **UpperCamelCase					, )

    _snake_case      : int														=		vocab_file
    _snake_case      : List[str]														=		False if not self.vocab_file else True







  def UpperCamelCase_       (					self					:    List[str]					, UpperCamelCase					:    List[int]					, UpperCamelCase					:    Optional[List[int]] = None							):


    '''simple docstring'''





    if token_ids_a is None:
      return [self.sep_token_id] + token_ids_a
    _snake_case      : Optional[int]														=		[self.sep_token_id]
    return sep + token_ids_a + sep + sep + token_ids_a







  def UpperCamelCase_       (					self					:    Union[str, Any]					, UpperCamelCase					:    List[int]					, UpperCamelCase					:    Optional[List[int]] = None							):


    '''simple docstring'''





    _snake_case      : str														=		[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 UpperCamelCase_       (					self					:    Optional[Any]					, UpperCamelCase					:    str					, UpperCamelCase					:    Optional[str] = None							):


    '''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(UpperCamelCase							):
      logger.error(f"""Vocabulary path ({save_directory}) should be a directory."""							)
      return
    _snake_case      : str														=		os.path.join(
        UpperCamelCase					, (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']							)

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

    return (out_vocab_file,)











def 			lowerCamelCase_		(					lowerCAmelCase:		list			,							lowerCAmelCase:		list )->						list:
  _snake_case      : int														=		len(lowerCAmelCase )
  _snake_case      : int														=		len(lowerCAmelCase )
  _snake_case      : int														=		(
      first_input_list_length
      if first_input_list_length > second_input_list_length
      else second_input_list_length
  )
  _snake_case      : list														=		[]
  for char_count in range(lowerCAmelCase ):
    if char_count < first_input_list_length:
      output_result_list.append(first_input_list[char_count] )
    if char_count < second_input_list_length:
      output_result_list.append(second_input_list[char_count] )

  return output_result_list


if __name__ == "__main__":
      print(alternative_list_arrange(["""A""", """B""", """C"""], [1, 2, 3, 4, 5]), end=""" """)




