"""simple docstring"""






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


__lowerCAmelCase    :       Any					     =logging.get_logger(__name__)

__lowerCAmelCase    :       List[str]					     ={'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

__lowerCAmelCase    :       Dict					     ={
    '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'
    },
}

__lowerCAmelCase    :       Tuple					     ={'mobilebert-uncased': 5_1_2}


__lowerCAmelCase    :       Optional[int]					     ={}





class  _A						(       _lowerCamelCase	):
      snake_case__			:   List[Any]							  =	VOCAB_FILES_NAMES
      snake_case__			:   str							  =	PRETRAINED_VOCAB_FILES_MAP
      snake_case__			:   Optional[int]							  =	PRETRAINED_INIT_CONFIGURATION
      snake_case__			:   Optional[int]							  =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__			:   int							  =	MobileBertTokenizer

      def __init__(						self		,       __lowerCAmelCase=None		,       __lowerCAmelCase=None		,       __lowerCAmelCase=True		,       __lowerCAmelCase="[UNK]"		,       __lowerCAmelCase="[SEP]"		,       __lowerCAmelCase="[PAD]"		,       __lowerCAmelCase="[CLS]"		,       __lowerCAmelCase="[MASK]"		,       __lowerCAmelCase=True		,       __lowerCAmelCase=None		,       **__lowerCAmelCase		,       ):







            """simple docstring"""



            super().__init__(
                lowercase_		,       tokenizer_file=lowercase_		,       do_lower_case=lowercase_		,       unk_token=lowercase_		,       sep_token=lowercase_		,       pad_token=lowercase_		,       cls_token=lowercase_		,       mask_token=lowercase_		,       tokenize_chinese_chars=lowercase_		,       strip_accents=lowercase_		,       **lowercase_		,       )

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

            lowercase														=	do_lower_case

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase=None						):







            """simple docstring"""



            lowercase														=	[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		,       __lowerCAmelCase		,       __lowerCAmelCase = None						):







            """simple docstring"""



            lowercase														=	[self.sep_token_id]
            lowercase														=	[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		,       __lowerCAmelCase		,       __lowerCAmelCase = None						):







            """simple docstring"""



            lowercase														=	self._tokenizer.model.save(lowercase_		,       name=lowercase_						)
            return tuple(lowercase_						)









'''simple docstring'''

import re

from filelock import FileLock


try:
							import nltk

							a  :				Union[str, Any]									=  True
except (ImportError, ModuleNotFoundError):
							a  :				Any									=  False

if NLTK_AVAILABLE:
							with FileLock('.lock') as lock:
														nltk.download('punkt', quiet=True)


def 		__magic_name__    (	__UpperCAmelCase	)		->					str:

					'''simple docstring'''

					re.sub('''<n>''',      '''''',      __UpperCAmelCase	)  # remove pegasus newline char
					assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
					return "\n".join(nltk.sent_tokenize(__UpperCAmelCase	)	)

