

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


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

lowerCAmelCase     :   Optional[Any]								=  {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase     :   Optional[Any]								=  {
    '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'
        ),
    },
}

lowerCAmelCase     :   Optional[int]								=  {
    'distilbert-base-uncased': 5_12,
    'distilbert-base-uncased-distilled-squad': 5_12,
    'distilbert-base-cased': 5_12,
    'distilbert-base-cased-distilled-squad': 5_12,
    'distilbert-base-german-cased': 5_12,
    'distilbert-base-multilingual-cased': 5_12,
}


lowerCAmelCase     :   List[str]								=  {
    '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  _A		(  lowercase__):
  SCREAMING_SNAKE_CASE    :      Any       =  VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE    :      List[str]       =  PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE    :      str       =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE    :      Union[str, Any]       =  PRETRAINED_INIT_CONFIGURATION
  SCREAMING_SNAKE_CASE    :      int       =  ['input_ids', 'attention_mask']
  SCREAMING_SNAKE_CASE    :      str       =  DistilBertTokenizer

  def __init__(				self ,					_SCREAMING_SNAKE_CASE=None ,					_SCREAMING_SNAKE_CASE=None ,					_SCREAMING_SNAKE_CASE=True ,					_SCREAMING_SNAKE_CASE="[UNK]" ,					_SCREAMING_SNAKE_CASE="[SEP]" ,					_SCREAMING_SNAKE_CASE="[PAD]" ,					_SCREAMING_SNAKE_CASE="[CLS]" ,					_SCREAMING_SNAKE_CASE="[MASK]" ,					_SCREAMING_SNAKE_CASE=True ,					_SCREAMING_SNAKE_CASE=None ,					**_SCREAMING_SNAKE_CASE ,					):





        """simple docstring"""







        super().__init__(
            _SCREAMING_SNAKE_CASE ,					tokenizer_file=_SCREAMING_SNAKE_CASE ,					do_lower_case=_SCREAMING_SNAKE_CASE ,					unk_token=_SCREAMING_SNAKE_CASE ,					sep_token=_SCREAMING_SNAKE_CASE ,					pad_token=_SCREAMING_SNAKE_CASE ,					cls_token=_SCREAMING_SNAKE_CASE ,					mask_token=_SCREAMING_SNAKE_CASE ,					tokenize_chinese_chars=_SCREAMING_SNAKE_CASE ,					strip_accents=_SCREAMING_SNAKE_CASE ,					**_SCREAMING_SNAKE_CASE ,					)

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

        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     do_lower_case

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE=None					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  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  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE = None					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Tuple           =     [self.sep_token_id]
        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     [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 ,					_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE = None					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Dict           =     self._tokenizer.model.save(_SCREAMING_SNAKE_CASE ,					name=_SCREAMING_SNAKE_CASE					)
        return tuple(_SCREAMING_SNAKE_CASE					)









from __future__ import annotations

import math

lowerCAmelCase     :   List[str]						     =  '2020.9.26'
lowerCAmelCase     :   List[Any]						     =  'xcodz-dot, cclaus, dhruvmanila'

def    A_  (							a					,   a					,   a					,   a					,   a  ):

      """simple docstring"""



      if not all(isinstance(a					,   (float, int)  ) for val in locals().values()  ):
            SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     f"Input values must either be float or int: {list(locals().values()  )}"
            raise TypeError(a  )
      SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     ((x * distance) / (z + distance)) * scale
      SCREAMING_SNAKE_CASE_				:  int           =     ((y * distance) / (z + distance)) * scale
      return projected_x, projected_y

def    A_  (							a					,   a					,   a					,   a					,   a  ):

      """simple docstring"""



      if not isinstance(a					,   a  ):
            raise TypeError('Axis must be a str'  )
      SCREAMING_SNAKE_CASE_				:  Any           =     locals()
      del input_variables["axis"]
      if not all(isinstance(a					,   (float, int)  ) for val in input_variables.values()  ):
            SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     (
                'Input values except axis must either be float or int: '
                f"{list(input_variables.values()  )}"
            )
            raise TypeError(a  )
      SCREAMING_SNAKE_CASE_				:  List[Any]           =     (angle % 3_6_0) / 4_5_0 * 1_8_0 / math.pi
      if axis == "z":
            SCREAMING_SNAKE_CASE_				:  List[str]           =     x * math.cos(a  ) - y * math.sin(a  )
            SCREAMING_SNAKE_CASE_				:  List[Any]           =     y * math.cos(a  ) + x * math.sin(a  )
            SCREAMING_SNAKE_CASE_				:  Dict           =     z
      elif axis == "x":
            SCREAMING_SNAKE_CASE_				:  Any           =     y * math.cos(a  ) - z * math.sin(a  )
            SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     z * math.cos(a  ) + y * math.sin(a  )
            SCREAMING_SNAKE_CASE_				:  str           =     x
      elif axis == "y":
            SCREAMING_SNAKE_CASE_				:  str           =     x * math.cos(a  ) - z * math.sin(a  )
            SCREAMING_SNAKE_CASE_				:  List[str]           =     z * math.cos(a  ) + x * math.sin(a  )
            SCREAMING_SNAKE_CASE_				:  Any           =     y
      else:
            raise ValueError('not a valid axis, choose one of \'x\', \'y\', \'z\''  )

      return new_x, new_y, new_z


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    print(F'{convert_to_ad(1.0, 2.0, 3.0, 10.0, 10.0) = }')
    print(F'{rotate(1.0, 2.0, 3.0, "y", 90.0) = }')






