"""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_retribert import RetriBertTokenizer


__A       =					logging.get_logger(__name__)

__A       =					{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

__A       =					{
    'vocab_file': {
        'yjernite/retribert-base-uncased': (
            'https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'yjernite/retribert-base-uncased': (
            'https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json'
        ),
    },
}

__A       =					{
    'yjernite/retribert-base-uncased': 5_1_2,
}


__A       =					{
    'yjernite/retribert-base-uncased': {'do_lower_case': True},
}


class        UpperCAmelCase		(_UpperCAmelCase    ):



    """simple docstring"""

    _UpperCAmelCase      :Any		       =					VOCAB_FILES_NAMES
    _UpperCAmelCase      :Union[str, Any]		       =					PRETRAINED_VOCAB_FILES_MAP
    _UpperCAmelCase      :int		       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _UpperCAmelCase      :Dict		       =					PRETRAINED_INIT_CONFIGURATION
    _UpperCAmelCase      :List[Any]		       =					RetriBertTokenizer
    _UpperCAmelCase      :Union[str, Any]		       =					["input_ids", "attention_mask"]






    def __init__(  self       ,     _UpperCAmelCase=None       ,     _UpperCAmelCase=None       ,     _UpperCAmelCase=True       ,     _UpperCAmelCase="[UNK]"       ,     _UpperCAmelCase="[SEP]"       ,     _UpperCAmelCase="[PAD]"       ,     _UpperCAmelCase="[CLS]"       ,     _UpperCAmelCase="[MASK]"       ,     _UpperCAmelCase=True       ,     _UpperCAmelCase=None       ,     **_UpperCAmelCase       ,     ):
       super().__init__(
           A_       ,     tokenizer_file=A_       ,     do_lower_case=A_       ,     unk_token=A_       ,     sep_token=A_       ,     pad_token=A_       ,     cls_token=A_       ,     mask_token=A_       ,     tokenize_chinese_chars=A_       ,     strip_accents=A_       ,     **A_       ,     )

       lowercase__:  List[str]   = json.loads(self.backend_tokenizer.normalizer.__getstate__()				)
       if (
           normalizer_state.get('''lowercase'''       ,     A_				) != do_lower_case
           or normalizer_state.get('''strip_accents'''       ,     A_				) != strip_accents
           or normalizer_state.get('''handle_chinese_chars'''       ,     A_				) != tokenize_chinese_chars
       ):
          lowercase__:  str   = getattr(A_       ,     normalizer_state.pop('''type'''				)				)
          lowercase__:  Optional[int]   = do_lower_case
          lowercase__:  List[Any]   = strip_accents
          lowercase__:  List[str]   = tokenize_chinese_chars
          lowercase__:  Dict   = normalizer_class(**A_				)

       lowercase__:  Dict   = do_lower_case






    def _snake_case     (  self       ,     _UpperCAmelCase       ,     _UpperCAmelCase=None				):
       lowercase__:  Tuple   = [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 _snake_case     (  self       ,     _UpperCAmelCase       ,     _UpperCAmelCase = None				):
       lowercase__:  List[Any]   = [self.sep_token_id]
       lowercase__:  Tuple   = [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 _snake_case     (  self       ,     _UpperCAmelCase       ,     _UpperCAmelCase = None				):
       lowercase__:  Dict   = self._tokenizer.model.save(A_       ,     name=A_				)
       return tuple(A_				)




SCREAMING_SNAKE_CASE__					:     dict[str, float]       =     {
    "joule": 1.0,
    "kilojoule": 1_000,
    "megajoule": 1_000_000,
    "gigajoule": 1_000_000_000,
    "wattsecond": 1.0,
    "watthour": 3_600,
    "kilowatthour": 3_600_000,
    "newtonmeter": 1.0,
    "calorie_nutr": 4_186.8,
    "kilocalorie_nutr": 4_186_800.00,
    "electronvolt": 1.602176634e-19,
    "britishthermalunit_it": 1_055.05_585,
    "footpound": 1.355_818,
}




def    a__    (		snake_case__					:							str						,   snake_case__					:							str						,   snake_case__					:							float     ):
  if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
    _UpperCAmelCase		:							Optional[Any]							=     (
        f'''Incorrect \'from_type\' or \'to_type\' value: {from_type!r}, {to_type!r}\n'''
        f'''Valid values are: {", ".join(snake_case__     )}'''
    )
    raise ValueError(snake_case__     )
  return value * ENERGY_CONVERSION[from_type] / ENERGY_CONVERSION[to_type]


if __name__ == "__main__":
 import doctest

 doctest.testmod()





