'''simple docstring'''




def 	UpperCamelCase_							(					_UpperCAmelCase  :      list			,	_UpperCAmelCase  :      list    )    ->    float:


       """simple docstring"""







       _validate_point(_UpperCAmelCase    )
       _validate_point(_UpperCAmelCase    )
       if len(_UpperCAmelCase    ) != len(_UpperCAmelCase    ):
              raise ValueError("Both points must be in the same n-dimensional space"    )

       return float(sum(abs(a - b    ) for a, b in zip(_UpperCAmelCase			,	_UpperCAmelCase    )    )    )

def 	UpperCamelCase_							(					_UpperCAmelCase  :      list[float]    )    ->    None:


       """simple docstring"""







       if point:
              if isinstance(_UpperCAmelCase			,	_UpperCAmelCase    ):
                     for item in point:
                            if not isinstance(_UpperCAmelCase			,	(int, float)    ):
                                   _UpperCAmelCase     :  Optional[int]							      =    (
                                       "Expected a list of numbers as input, found "
                                       F"""{type(_UpperCAmelCase    ).__name__}"""
                                   )
                                   raise TypeError(_UpperCAmelCase    )
              else:
                     _UpperCAmelCase     :  Any							      =    F"""Expected a list of numbers as input, found {type(_UpperCAmelCase    ).__name__}"""
                     raise TypeError(_UpperCAmelCase    )
       else:
              raise ValueError("Missing an input"    )

def 	UpperCamelCase_							(					_UpperCAmelCase  :      list			,	_UpperCAmelCase  :      list    )    ->    float:


       """simple docstring"""







       _validate_point(_UpperCAmelCase    )
       _validate_point(_UpperCAmelCase    )
       if len(_UpperCAmelCase    ) != len(_UpperCAmelCase    ):
              raise ValueError("Both points must be in the same n-dimensional space"    )

       return float(sum(abs(x - y    ) for x, y in zip(_UpperCAmelCase			,	_UpperCAmelCase    )    )    )


if __name__ == "__main__":
  import doctest

  doctest.testmod()


'''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_distilbert import DistilBertTokenizer


__SCREAMING_SNAKE_CASE       :     str     =  logging.get_logger(__name__)

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

__SCREAMING_SNAKE_CASE       :     Dict     =  {
    """vocab_file""": {
        """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt""",
        """distilbert-base-uncased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt"""
        ),
        """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt""",
        """distilbert-base-cased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt"""
        ),
        """distilbert-base-german-cased""": """https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt""",
        """distilbert-base-multilingual-cased""": (
            """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json""",
        """distilbert-base-uncased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json""",
        """distilbert-base-cased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-german-cased""": (
            """https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-multilingual-cased""": (
            """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json"""
        ),
    },
}

__SCREAMING_SNAKE_CASE       :     Optional[Any]     =  {
    """distilbert-base-uncased""": 512,
    """distilbert-base-uncased-distilled-squad""": 512,
    """distilbert-base-cased""": 512,
    """distilbert-base-cased-distilled-squad""": 512,
    """distilbert-base-german-cased""": 512,
    """distilbert-base-multilingual-cased""": 512,
}


__SCREAMING_SNAKE_CASE       :     List[Any]     =  {
    """distilbert-base-uncased""": {"""do_lower_case""": True},
    """distilbert-base-uncased-distilled-squad""": {"""do_lower_case""": True},
    """distilbert-base-cased""": {"""do_lower_case""": False},
    """distilbert-base-cased-distilled-squad""": {"""do_lower_case""": False},
    """distilbert-base-german-cased""": {"""do_lower_case""": False},
    """distilbert-base-multilingual-cased""": {"""do_lower_case""": False},
}

class 	lowerCamelCase_	(snake_case__    ):
      '''simple docstring'''

      __UpperCamelCase:  Union[str, Any]						=						VOCAB_FILES_NAMES
      __UpperCamelCase:  str						=						PRETRAINED_VOCAB_FILES_MAP
      __UpperCamelCase:  Optional[Any]						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __UpperCamelCase:  Any						=						PRETRAINED_INIT_CONFIGURATION
      __UpperCamelCase:  str						=						["input_ids", "attention_mask"]
      __UpperCamelCase:  List[str]						=						DistilBertTokenizer




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

             _UpperCAmelCase     :  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
             ):
                    _UpperCAmelCase     :  Dict							      =    getattr(A						,					normalizer_state.pop("type"       )       )
                    _UpperCAmelCase     :  int							      =    do_lower_case
                    _UpperCAmelCase     :  Optional[int]							      =    strip_accents
                    _UpperCAmelCase     :  str							      =    tokenize_chinese_chars
                    _UpperCAmelCase     :  List[Any]							      =    normalizer_class(**A       )

             _UpperCAmelCase     :  Dict							      =    do_lower_case




      def      _A	(       self						:				List[Any]						,					A						:				Tuple						,					A						:				Any=None       ):
             _UpperCAmelCase     :  Optional[int]							      =    [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						:				int						,					A						:				List[int]						,					A						:				Optional[List[int]] = None       ):
             _UpperCAmelCase     :  Any							      =    [self.sep_token_id]
             _UpperCAmelCase     :  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      _A	(       self						:				Dict						,					A						:				str						,					A						:				Optional[str] = None       ):
             _UpperCAmelCase     :  Any							      =    self._tokenizer.model.save(A						,					name=A       )
             return tuple(A       )

