
"""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_    					=						logging.get_logger(__name__)

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

SCREAMING_SNAKE_CASE_    					=						{
    '''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_    					=						{
    '''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_    					=						{
    '''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      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_							):
      __SCREAMING_SNAKE_CASE   :							Dict							      =	VOCAB_FILES_NAMES
      __SCREAMING_SNAKE_CASE   :							Union[str, Any]							      =	PRETRAINED_VOCAB_FILES_MAP
      __SCREAMING_SNAKE_CASE   :							int							      =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __SCREAMING_SNAKE_CASE   :							Optional[int]							      =	PRETRAINED_INIT_CONFIGURATION
      __SCREAMING_SNAKE_CASE   :							Union[str, Any]							      =	["input_ids", "attention_mask"]
      __SCREAMING_SNAKE_CASE   :							str							      =	DistilBertTokenizer




      def __init__(							self   ,       lowercase_=None   ,       lowercase_=None   ,       lowercase_=True   ,       lowercase_="[UNK]"   ,       lowercase_="[SEP]"   ,       lowercase_="[PAD]"   ,       lowercase_="[CLS]"   ,       lowercase_="[MASK]"   ,       lowercase_=True   ,       lowercase_=None   ,       **lowercase_   ,       )						->					str:
          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_   ,       )

          UpperCAmelCase									=					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
          ):
              UpperCAmelCase									=					getattr(lowercase_   ,       normalizer_state.pop('type'							)							)
              UpperCAmelCase									=					do_lower_case
              UpperCAmelCase									=					strip_accents
              UpperCAmelCase									=					tokenize_chinese_chars
              UpperCAmelCase									=					normalizer_class(**lowercase_							)

          UpperCAmelCase									=					do_lower_case




      def     a_      (							self   ,       lowercase_   ,       lowercase_=None							)						->					List[str]:
          UpperCAmelCase									=					[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   ,       lowercase_   ,       lowercase_ = None							)						->					List[int]:
          UpperCAmelCase									=					[self.sep_token_id]
          UpperCAmelCase									=					[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   ,       lowercase_   ,       lowercase_ = None							)						->					Tuple[str]:
          UpperCAmelCase									=					self._tokenizer.model.save(lowercase_   ,       name=lowercase_							)
          return tuple(lowercase_							)





"""simple docstring"""

from __future__ import annotations

import numpy as np




def     lowercase__						(					lowerCAmelCase				:					list[float] ) ->      Dict:






    """simple docstring"""




    return np.maximum(0 ,				lowerCAmelCase )


if __name__ == "__main__":
   print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]



