import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


A     :  Optional[int]					     =       logging.get_logger(__name__)

A     :  Optional[Any]					     =       {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

A     :  Optional[Any]					     =       {
    "vocab_file": {"mobilebert-uncased": "https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt"},
    "tokenizer_file": {
        "mobilebert-uncased": "https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json"
    },
}

A     :  int					     =       {"mobilebert-uncased": 5_12}


A     :  List[str]					     =       {}


class   lowerCamelCase					(SCREAMING_SNAKE_CASE__					):
		"""simple docstring"""







		lowerCamelCase__     =						VOCAB_FILES_NAMES
		lowerCamelCase__     =						PRETRAINED_VOCAB_FILES_MAP
		lowerCamelCase__     =						PRETRAINED_INIT_CONFIGURATION
		lowerCamelCase__     =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowerCamelCase__     =						MobileBertTokenizer







		def __init__(							self :       Union[str, Any]  ,     __magic_name__ :       str=None  ,     __magic_name__ :       str=None  ,     __magic_name__ :       Dict=True  ,     __magic_name__ :       Any="[UNK]"  ,     __magic_name__ :       str="[SEP]"  ,     __magic_name__ :       Dict="[PAD]"  ,     __magic_name__ :       List[str]="[CLS]"  ,     __magic_name__ :       Any="[MASK]"  ,     __magic_name__ :       Any=True  ,     __magic_name__ :       int=None  ,     **__magic_name__ :       Dict  ,     )  ->	Union[str, Any]:
								super().__init__(
								    __UpperCamelCase  ,     tokenizer_file=__UpperCamelCase  ,     do_lower_case=__UpperCamelCase  ,     unk_token=__UpperCamelCase  ,     sep_token=__UpperCamelCase  ,     pad_token=__UpperCamelCase  ,     cls_token=__UpperCamelCase  ,     mask_token=__UpperCamelCase  ,     tokenize_chinese_chars=__UpperCamelCase  ,     strip_accents=__UpperCamelCase  ,     **__UpperCamelCase  ,     )

								SCREAMING_SNAKE_CASE_          =  json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
								if (
								    normalizer_state.get("lowercase"  ,     __UpperCamelCase   ) != do_lower_case
								    or normalizer_state.get("strip_accents"  ,     __UpperCamelCase   ) != strip_accents
								    or normalizer_state.get("handle_chinese_chars"  ,     __UpperCamelCase   ) != tokenize_chinese_chars
								):
														SCREAMING_SNAKE_CASE_          =  getattr(__UpperCamelCase  ,     normalizer_state.pop("type"   )   )
														SCREAMING_SNAKE_CASE_          =  do_lower_case
														SCREAMING_SNAKE_CASE_          =  strip_accents
														SCREAMING_SNAKE_CASE_          =  tokenize_chinese_chars
														SCREAMING_SNAKE_CASE_          =  normalizer_class(**__UpperCamelCase   )

								SCREAMING_SNAKE_CASE_          =  do_lower_case







		def    __A     (							self :       List[str]  ,     __magic_name__ :       Union[str, Any]  ,     __magic_name__ :       Dict=None   )  ->	List[str]:
								SCREAMING_SNAKE_CASE_          =  [self.cls_token_id] + token_ids_a + [self.sep_token_id]

								if token_ids_a:
														output += token_ids_a + [self.sep_token_id]

								return output







		def    __A     (							self :       Tuple  ,     __magic_name__ :       List[int]  ,     __magic_name__ :       Optional[List[int]] = None   )  ->	int:
								SCREAMING_SNAKE_CASE_          =  [self.sep_token_id]
								SCREAMING_SNAKE_CASE_          =  [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    __A     (							self :       List[str]  ,     __magic_name__ :       str  ,     __magic_name__ :       Optional[str] = None   )  ->	Tuple:
								SCREAMING_SNAKE_CASE_          =  self._tokenizer.model.save(__UpperCamelCase  ,     name=__UpperCamelCase   )
								return tuple(__UpperCamelCase   )



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


A     :  Dict					     =       {}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A     :  Optional[Any]					     =       ["BartphoTokenizer"]

if TYPE_CHECKING:
      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_bartpho import BartphoTokenizer

else:
      import sys

      A     :  Optional[int]					     =       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


