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

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


if is_sentencepiece_available():
      from .tokenization_deberta_va import DebertaVaTokenizer
else:
      _lowerCamelCase          =None

_lowerCamelCase          =logging.get_logger(__name__)

_lowerCamelCase          ={"""vocab_file""": """spm.model""", """tokenizer_file""": """tokenizer.json"""}

_lowerCamelCase          ={
    """vocab_file""": {
        """microsoft/deberta-v2-xlarge""": """https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/spm.model""",
        """microsoft/deberta-v2-xxlarge""": """https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/spm.model""",
        """microsoft/deberta-v2-xlarge-mnli""": (
            """https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/spm.model"""
        ),
        """microsoft/deberta-v2-xxlarge-mnli""": (
            """https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/spm.model"""
        ),
    }
}

_lowerCamelCase          ={
    """microsoft/deberta-v2-xlarge""": 5_1_2,
    """microsoft/deberta-v2-xxlarge""": 5_1_2,
    """microsoft/deberta-v2-xlarge-mnli""": 5_1_2,
    """microsoft/deberta-v2-xxlarge-mnli""": 5_1_2,
}

_lowerCamelCase          ={
    """microsoft/deberta-v2-xlarge""": {"""do_lower_case""": False},
    """microsoft/deberta-v2-xxlarge""": {"""do_lower_case""": False},
    """microsoft/deberta-v2-xlarge-mnli""": {"""do_lower_case""": False},
    """microsoft/deberta-v2-xxlarge-mnli""": {"""do_lower_case""": False},
}





class 							A__		(     _UpperCAmelCase):
      _UpperCAmelCase    :   Optional[int]   	=      VOCAB_FILES_NAMES
      _UpperCAmelCase    :   Tuple   	=      PRETRAINED_VOCAB_FILES_MAP
      _UpperCAmelCase    :   Optional[int]   	=      PRETRAINED_INIT_CONFIGURATION
      _UpperCAmelCase    :   Union[str, Any]   	=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _UpperCAmelCase    :   Any   	=      DebertaVaTokenizer
      def __init__(				self   ,  __magic_name__=None   ,  __magic_name__=None   ,  __magic_name__=False   ,  __magic_name__=False   ,  __magic_name__="[CLS]"   ,  __magic_name__="[SEP]"   ,  __magic_name__="[UNK]"   ,  __magic_name__="[SEP]"   ,  __magic_name__="[PAD]"   ,  __magic_name__="[CLS]"   ,  __magic_name__="[MASK]"   ,  **__magic_name__   ,  ):
       super().__init__(
           lowercase__   ,  tokenizer_file=lowercase__   ,  do_lower_case=lowercase__   ,  bos_token=lowercase__   ,  eos_token=lowercase__   ,  unk_token=lowercase__   ,  sep_token=lowercase__   ,  pad_token=lowercase__   ,  cls_token=lowercase__   ,  mask_token=lowercase__   ,  split_by_punct=lowercase__   ,  **lowercase__   ,  )

       lowerCamelCase		:     List[str]          =				do_lower_case
       lowerCamelCase		:     List[Any]          =				split_by_punct
       lowerCamelCase		:     int          =				vocab_file
       lowerCamelCase		:     List[str]          =				False if not self.vocab_file else True
      def 						UpperCamelCase__							(				self   ,  __magic_name__   ,  __magic_name__=None				):






       if token_ids_a is None:
        return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       lowerCamelCase		:     Any          =				[self.cls_token_id]
       lowerCamelCase		:     str          =				[self.sep_token_id]
       return cls + token_ids_a + sep + token_ids_a + sep
      def 						UpperCamelCase__							(				self   ,  __magic_name__   ,  __magic_name__=None   ,  __magic_name__=False				):






       if already_has_special_tokens:
        return super().get_special_tokens_mask(
            token_ids_a=lowercase__   ,  token_ids_a=lowercase__   ,  already_has_special_tokens=lowercase__				)

       if token_ids_a is not None:
        return [1] + ([0] * len(lowercase__				)) + [1] + ([0] * len(lowercase__				)) + [1]
       return [1] + ([0] * len(lowercase__				)) + [1]
      def 						UpperCamelCase__							(				self   ,  __magic_name__   ,  __magic_name__=None				):
       lowerCamelCase		:     Dict          =				[self.sep_token_id]
       lowerCamelCase		:     Union[str, Any]          =				[self.cls_token_id]
       if token_ids_a is None:
        return len(cls + token_ids_a + sep				) * [0]
       return len(cls + token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1]






      def 						UpperCamelCase__							(				self   ,  __magic_name__   ,  __magic_name__ = 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(lowercase__				):
        logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''				)
        return
       lowerCamelCase		:     Dict          =				os.path.join(
           lowercase__   ,  (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)

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

       return (out_vocab_file,)






import sys





def    _a (						lowerCamelCase,     lowerCamelCase							):
 if not numbers:
  return 0
 if target == 0 and target in numbers:
  return 0
 if not isinstance(lowerCamelCase,     (list, tuple)							) or not all(
     isinstance(lowerCamelCase,     lowerCamelCase							) for number in numbers							):
  raise ValueError("""numbers must be an iterable of integers"""							)

 lowerCamelCase		:     str          =				0
 lowerCamelCase		:     List[str]          =				sys.maxsize

 while right < len(lowerCamelCase							):
  curr_sum += numbers[right]
  while curr_sum >= target and left <= right:
   lowerCamelCase		:     Any          =				min(lowerCamelCase,     right - left + 1							)
   curr_sum -= numbers[left]
   left += 1
  right += 1

 return 0 if min_len == sys.maxsize else min_len




