





"""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_bert import BertTokenizer


a_					=     logging.get_logger(__name__)

a_					=     {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

a_					=     {
    """vocab_file""": {
        """bert-base-uncased""": """https://huggingface.co/bert-base-uncased/resolve/main/vocab.txt""",
        """bert-large-uncased""": """https://huggingface.co/bert-large-uncased/resolve/main/vocab.txt""",
        """bert-base-cased""": """https://huggingface.co/bert-base-cased/resolve/main/vocab.txt""",
        """bert-large-cased""": """https://huggingface.co/bert-large-cased/resolve/main/vocab.txt""",
        """bert-base-multilingual-uncased""": (
            """https://huggingface.co/bert-base-multilingual-uncased/resolve/main/vocab.txt"""
        ),
        """bert-base-multilingual-cased""": """https://huggingface.co/bert-base-multilingual-cased/resolve/main/vocab.txt""",
        """bert-base-chinese""": """https://huggingface.co/bert-base-chinese/resolve/main/vocab.txt""",
        """bert-base-german-cased""": """https://huggingface.co/bert-base-german-cased/resolve/main/vocab.txt""",
        """bert-large-uncased-whole-word-masking""": (
            """https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/vocab.txt"""
        ),
        """bert-large-cased-whole-word-masking""": (
            """https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/vocab.txt"""
        ),
        """bert-large-uncased-whole-word-masking-finetuned-squad""": (
            """https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/vocab.txt"""
        ),
        """bert-large-cased-whole-word-masking-finetuned-squad""": (
            """https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/vocab.txt"""
        ),
        """bert-base-cased-finetuned-mrpc""": (
            """https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/vocab.txt"""
        ),
        """bert-base-german-dbmdz-cased""": """https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/vocab.txt""",
        """bert-base-german-dbmdz-uncased""": (
            """https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/vocab.txt"""
        ),
        """TurkuNLP/bert-base-finnish-cased-v1""": (
            """https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/vocab.txt"""
        ),
        """TurkuNLP/bert-base-finnish-uncased-v1""": (
            """https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/vocab.txt"""
        ),
        """wietsedv/bert-base-dutch-cased""": (
            """https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """bert-base-uncased""": """https://huggingface.co/bert-base-uncased/resolve/main/tokenizer.json""",
        """bert-large-uncased""": """https://huggingface.co/bert-large-uncased/resolve/main/tokenizer.json""",
        """bert-base-cased""": """https://huggingface.co/bert-base-cased/resolve/main/tokenizer.json""",
        """bert-large-cased""": """https://huggingface.co/bert-large-cased/resolve/main/tokenizer.json""",
        """bert-base-multilingual-uncased""": (
            """https://huggingface.co/bert-base-multilingual-uncased/resolve/main/tokenizer.json"""
        ),
        """bert-base-multilingual-cased""": (
            """https://huggingface.co/bert-base-multilingual-cased/resolve/main/tokenizer.json"""
        ),
        """bert-base-chinese""": """https://huggingface.co/bert-base-chinese/resolve/main/tokenizer.json""",
        """bert-base-german-cased""": """https://huggingface.co/bert-base-german-cased/resolve/main/tokenizer.json""",
        """bert-large-uncased-whole-word-masking""": (
            """https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/tokenizer.json"""
        ),
        """bert-large-cased-whole-word-masking""": (
            """https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/tokenizer.json"""
        ),
        """bert-large-uncased-whole-word-masking-finetuned-squad""": (
            """https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/tokenizer.json"""
        ),
        """bert-large-cased-whole-word-masking-finetuned-squad""": (
            """https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/tokenizer.json"""
        ),
        """bert-base-cased-finetuned-mrpc""": (
            """https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/tokenizer.json"""
        ),
        """bert-base-german-dbmdz-cased""": (
            """https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/tokenizer.json"""
        ),
        """bert-base-german-dbmdz-uncased""": (
            """https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/tokenizer.json"""
        ),
        """TurkuNLP/bert-base-finnish-cased-v1""": (
            """https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/tokenizer.json"""
        ),
        """TurkuNLP/bert-base-finnish-uncased-v1""": (
            """https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/tokenizer.json"""
        ),
        """wietsedv/bert-base-dutch-cased""": (
            """https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/tokenizer.json"""
        ),
    },
}

a_					=     {
    """bert-base-uncased""": 512,
    """bert-large-uncased""": 512,
    """bert-base-cased""": 512,
    """bert-large-cased""": 512,
    """bert-base-multilingual-uncased""": 512,
    """bert-base-multilingual-cased""": 512,
    """bert-base-chinese""": 512,
    """bert-base-german-cased""": 512,
    """bert-large-uncased-whole-word-masking""": 512,
    """bert-large-cased-whole-word-masking""": 512,
    """bert-large-uncased-whole-word-masking-finetuned-squad""": 512,
    """bert-large-cased-whole-word-masking-finetuned-squad""": 512,
    """bert-base-cased-finetuned-mrpc""": 512,
    """bert-base-german-dbmdz-cased""": 512,
    """bert-base-german-dbmdz-uncased""": 512,
    """TurkuNLP/bert-base-finnish-cased-v1""": 512,
    """TurkuNLP/bert-base-finnish-uncased-v1""": 512,
    """wietsedv/bert-base-dutch-cased""": 512,
}

a_					=     {
    """bert-base-uncased""": {"""do_lower_case""": True},
    """bert-large-uncased""": {"""do_lower_case""": True},
    """bert-base-cased""": {"""do_lower_case""": False},
    """bert-large-cased""": {"""do_lower_case""": False},
    """bert-base-multilingual-uncased""": {"""do_lower_case""": True},
    """bert-base-multilingual-cased""": {"""do_lower_case""": False},
    """bert-base-chinese""": {"""do_lower_case""": False},
    """bert-base-german-cased""": {"""do_lower_case""": False},
    """bert-large-uncased-whole-word-masking""": {"""do_lower_case""": True},
    """bert-large-cased-whole-word-masking""": {"""do_lower_case""": False},
    """bert-large-uncased-whole-word-masking-finetuned-squad""": {"""do_lower_case""": True},
    """bert-large-cased-whole-word-masking-finetuned-squad""": {"""do_lower_case""": False},
    """bert-base-cased-finetuned-mrpc""": {"""do_lower_case""": False},
    """bert-base-german-dbmdz-cased""": {"""do_lower_case""": False},
    """bert-base-german-dbmdz-uncased""": {"""do_lower_case""": True},
    """TurkuNLP/bert-base-finnish-cased-v1""": {"""do_lower_case""": False},
    """TurkuNLP/bert-base-finnish-uncased-v1""": {"""do_lower_case""": True},
    """wietsedv/bert-base-dutch-cased""": {"""do_lower_case""": False},
}






class 						__snake_case   (						SCREAMING_SNAKE_CASE__	):





 """simple docstring"""


 _lowerCamelCase								=	VOCAB_FILES_NAMES
 _lowerCamelCase								=	PRETRAINED_VOCAB_FILES_MAP
 _lowerCamelCase								=	PRETRAINED_INIT_CONFIGURATION
 _lowerCamelCase								=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCamelCase								=	BertTokenizer

 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__(
         __lowerCamelCase   ,		tokenizer_file=__lowerCamelCase   ,		do_lower_case=__lowerCamelCase   ,		unk_token=__lowerCamelCase   ,		sep_token=__lowerCamelCase   ,		pad_token=__lowerCamelCase   ,		cls_token=__lowerCamelCase   ,		mask_token=__lowerCamelCase   ,		tokenize_chinese_chars=__lowerCamelCase   ,		strip_accents=__lowerCamelCase   ,		**__lowerCamelCase   ,		)

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

     __A       :		List[Any]							=	do_lower_case

 def    UpperCamelCase__(       self   ,		__lowerCamelCase   ,		__lowerCamelCase=None    ):



     '''simple docstring'''




     __A       :		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    UpperCamelCase__(       self   ,		__lowerCamelCase   ,		__lowerCamelCase = None    ):



     '''simple docstring'''




     __A       :		Union[str, Any]							=	[self.sep_token_id]
     __A       :		List[str]							=	[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   ,		__lowerCamelCase   ,		__lowerCamelCase = None    ):



     '''simple docstring'''




     __A       :		str							=	self._tokenizer.model.save(__lowerCamelCase   ,		name=__lowerCamelCase    )
     return tuple(__lowerCamelCase    )











"""simple docstring"""



from collections import namedtuple

a_					=     namedtuple("""from_to""", """from_ to""")

a_					=     {
    """cubicmeter""": from_to(1, 1),
    """litre""": from_to(0.001, 1000),
    """kilolitre""": from_to(1, 1),
    """gallon""": from_to(0.00454, 264.172),
    """cubicyard""": from_to(0.76455, 1.30795),
    """cubicfoot""": from_to(0.028, 35.3147),
    """cup""": from_to(0.000236588, 4226.75),
}







def 						__lowercase	(  snake_case_    :    float							,snake_case_    :    str							,snake_case_    :    str		)  ->float:



    '''simple docstring'''







    if from_type not in METRIC_CONVERSION:
        raise ValueError(
            F"""Invalid 'from_type' value: {from_type!r}  Supported values are:\n"""
            + ''', '''.join(snake_case_		)		)
    if to_type not in METRIC_CONVERSION:
        raise ValueError(
            F"""Invalid 'to_type' value: {to_type!r}.  Supported values are:\n"""
            + ''', '''.join(snake_case_		)		)
    return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to


if __name__ == "__main__":
       import doctest

       doctest.testmod()




