


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


a__    :							Optional[Any]            =					logging.get_logger(__name__)

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

a__    :							Union[str, Any]            =					{
    'vocab_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt'
        ),
        'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt',
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli': (
            'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json'
        ),
    },
}

a__    :							Tuple            =					{
    'squeezebert/squeezebert-uncased': 5_1_2,
    'squeezebert/squeezebert-mnli': 5_1_2,
    'squeezebert/squeezebert-mnli-headless': 5_1_2,
}


a__    :							List[str]            =					{
    'squeezebert/squeezebert-uncased': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli-headless': {'do_lower_case': True},
}




class 			UpperCamelCase_     (			UpperCamelCase__):

	"""simple docstring"""





	snake_case__    :  List[str]    =      VOCAB_FILES_NAMES
	snake_case__    :  Union[str, Any]    =      PRETRAINED_VOCAB_FILES_MAP
	snake_case__    :  Any    =      PRETRAINED_INIT_CONFIGURATION
	snake_case__    :  Optional[Any]    =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	snake_case__    :  Optional[Any]    =      SqueezeBertTokenizer




	def __init__(			self      :    Union[str, Any]      ,      UpperCAmelCase__      :    Tuple=None      ,      UpperCAmelCase__      :    Dict=None      ,      UpperCAmelCase__      :    List[str]=True      ,      UpperCAmelCase__      :    Tuple="[UNK]"      ,      UpperCAmelCase__      :    Union[str, Any]="[SEP]"      ,      UpperCAmelCase__      :    Optional[int]="[PAD]"      ,      UpperCAmelCase__      :    int="[CLS]"      ,      UpperCAmelCase__      :    int="[MASK]"      ,      UpperCAmelCase__      :    Tuple=True      ,      UpperCAmelCase__      :    str=None      ,      **UpperCAmelCase__      :    List[str]      ,      )	->     Union[str, Any]:
						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      ,      )

						__SCREAMING_SNAKE_CASE						       =    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
						):
											__SCREAMING_SNAKE_CASE						       =    getattr(__a      ,      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(**__a       )

						__SCREAMING_SNAKE_CASE						       =    do_lower_case




	def   UpperCAmelCase_				(			self      :    str      ,      UpperCAmelCase__      :    Optional[int]      ,      UpperCAmelCase__      :    Dict=None       )	->     Tuple:
						__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   UpperCAmelCase_				(			self      :    Tuple      ,      UpperCAmelCase__      :    List[int]      ,      UpperCAmelCase__      :    Optional[List[int]] = None       )	->     Dict:
						__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   UpperCAmelCase_				(			self      :    Optional[Any]      ,      UpperCAmelCase__      :    str      ,      UpperCAmelCase__      :    Optional[str] = None       )	->     int:
						__SCREAMING_SNAKE_CASE						       =    self._tokenizer.model.save(__a      ,      name=__a       )
						return tuple(__a       )




"""simple docstring"""







def        UpperCAmelCase__	(lowerCAmelCase_  ,						lowerCAmelCase_       ):




					'''simple docstring'''


					if digit_amount > 0:
										return round(number - int(lowerCAmelCase_       )  ,						lowerCAmelCase_       )
					return number - int(lowerCAmelCase_       )


if __name__ == "__main__":
		print(decimal_isolate(1.53, 0))
		print(decimal_isolate(35.3_45, 1))
		print(decimal_isolate(35.3_45, 2))
		print(decimal_isolate(35.3_45, 3))
		print(decimal_isolate(-14.7_89, 3))
		print(decimal_isolate(0, 2))
		print(decimal_isolate(-14.1_23, 1))
		print(decimal_isolate(-14.1_23, 2))
		print(decimal_isolate(-14.1_23, 3))
