

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:
   _a				   =							None


_a				   =							logging.get_logger(__name__)

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

_a				   =							{
    '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',
    },
}

_a				   =							{
    'facebook/xglm-564M': 20_48,
}




class       _lowerCAmelCase						(			lowercase     ):







 """simple docstring"""







 __UpperCAmelCase			:      List[str]     	=			VOCAB_FILES_NAMES
 __UpperCAmelCase			:      Optional[Any]     	=			PRETRAINED_VOCAB_FILES_MAP
 __UpperCAmelCase			:      List[Any]     	=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __UpperCAmelCase			:      Optional[Any]     	=			["input_ids", "attention_mask"]
 __UpperCAmelCase			:      Union[str, Any]     	=			XGLMTokenizer


 def __init__(    self							:    Any,      UpperCAmelCase__							:    int=None,      UpperCAmelCase__							:    List[Any]=None,      UpperCAmelCase__							:    List[Any]="<s>",      UpperCAmelCase__							:    str="</s>",      UpperCAmelCase__							:    Optional[Any]="</s>",      UpperCAmelCase__							:    Optional[int]="<s>",      UpperCAmelCase__							:    int="<unk>",      UpperCAmelCase__							:    Optional[Any]="<pad>",      **UpperCAmelCase__							:    str,      ):
    # Compatibility with the original tokenizer
    __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__(
        UpperCAmelCase__,      tokenizer_file=UpperCAmelCase__,      bos_token=UpperCAmelCase__,      eos_token=UpperCAmelCase__,      sep_token=UpperCAmelCase__,      cls_token=UpperCAmelCase__,      unk_token=UpperCAmelCase__,      pad_token=UpperCAmelCase__,      **UpperCAmelCase__,      )

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


 def       _lowercase				(    self							:    List[Any],      UpperCAmelCase__							:    List[int],      UpperCAmelCase__							:    Optional[List[int]] = None			):

    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       _lowercase				(    self							:    Optional[Any],      UpperCAmelCase__							:    List[int],      UpperCAmelCase__							:    Optional[List[int]] = None			):
    __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       _lowercase				(    self							:    Dict,      UpperCAmelCase__							:    str,      UpperCAmelCase__							:    Optional[str] = None			):
    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
    __lowercase			=		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,)







"""simple docstring"""





def 						_A						(						UpperCamelCase_  : list,    UpperCamelCase_  : list,    UpperCamelCase_  : list,    UpperCamelCase_  : int,    UpperCamelCase_  : int)			->		None:
   '''simple docstring'''


   if target == 0:
      answer.append(path.copy())
   else:
      for index in range(UpperCamelCase_,    len(UpperCamelCase_)):
         if target >= candidates[index]:
            path.append(candidates[index])
            backtrack(UpperCamelCase_,    UpperCamelCase_,    UpperCamelCase_,    target - candidates[index],    UpperCamelCase_)
            path.pop(len(UpperCamelCase_) - 1)




def 						_A						(						UpperCamelCase_  : list,    UpperCamelCase_  : int)			->		list:
   '''simple docstring'''


   __lowercase			=		[]  # type: list[int]
   __lowercase			=		[]  # type: list[int]
   backtrack(UpperCamelCase_,    UpperCamelCase_,    UpperCamelCase_,    UpperCamelCase_,    0)
   return answer




def 						_A						(						)			->		None:
   '''simple docstring'''


   print(combination_sum([-8, 2.3, 0],    1))


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()




