'''simple docstring'''




def       A_ (			_lowerCamelCase      :				float	,	_lowerCamelCase      :				float     ):




      if density <= 0:
            raise ValueError('Impossible fluid density'     )
      if bulk_modulus <= 0:
            raise ValueError('Impossible bulk modulus'     )

      return (bulk_modulus / density) ** 0.5


if __name__ == "__main__":
 import doctest

 doctest.testmod()













'''simple docstring'''



import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
      from .tokenization_xlnet import XLNetTokenizer
else:
      SCREAMING_SNAKE_CASE							=						None


SCREAMING_SNAKE_CASE							=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							=						{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

SCREAMING_SNAKE_CASE							=						{
    'vocab_file': {
        'xlnet-base-cased': 'https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model',
        'xlnet-large-cased': 'https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'xlnet-base-cased': 'https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json',
        'xlnet-large-cased': 'https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json',
    },
}

SCREAMING_SNAKE_CASE							=						{
    'xlnet-base-cased': None,
    'xlnet-large-cased': None,
}

SCREAMING_SNAKE_CASE							=						'▁'

# Segments (not really needed)
SCREAMING_SNAKE_CASE							=						0
SCREAMING_SNAKE_CASE							=						1
SCREAMING_SNAKE_CASE							=						2
SCREAMING_SNAKE_CASE							=						3
SCREAMING_SNAKE_CASE							=						4
class UpperCAmelCase_       (     __A					):




      """simple docstring"""




      UpperCamelCase_             =      VOCAB_FILES_NAMES
      UpperCamelCase_             =      PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase_             =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase_             =      '''left'''
      UpperCamelCase_             =      XLNetTokenizer






      def __init__(			self      :		int  ,   UpperCAmelCase      :		Dict=None  ,   UpperCAmelCase      :		str=None  ,   UpperCAmelCase      :		str=False  ,   UpperCAmelCase      :		List[Any]=True  ,   UpperCAmelCase      :		Optional[Any]=False  ,   UpperCAmelCase      :		int="<s>"  ,   UpperCAmelCase      :		Optional[int]="</s>"  ,   UpperCAmelCase      :		str="<unk>"  ,   UpperCAmelCase      :		Optional[Any]="<sep>"  ,   UpperCAmelCase      :		Optional[int]="<pad>"  ,   UpperCAmelCase      :		Optional[Any]="<cls>"  ,   UpperCAmelCase      :		Dict="<mask>"  ,   UpperCAmelCase      :		int=["<eop>", "<eod>"]  ,   **UpperCAmelCase      :		List[Any]  ,   )	->	List[str]:


       '''simple docstring'''

       lowercase       : Dict						=AddedToken(UpperCAmelCase  ,   lstrip=UpperCAmelCase  ,   rstrip=UpperCAmelCase		) if isinstance(UpperCAmelCase  ,   UpperCAmelCase		) else mask_token

       super().__init__(
           vocab_file=UpperCAmelCase  ,   tokenizer_file=UpperCAmelCase  ,   do_lower_case=UpperCAmelCase  ,   remove_space=UpperCAmelCase  ,   keep_accents=UpperCAmelCase  ,   bos_token=UpperCAmelCase  ,   eos_token=UpperCAmelCase  ,   unk_token=UpperCAmelCase  ,   sep_token=UpperCAmelCase  ,   pad_token=UpperCAmelCase  ,   cls_token=UpperCAmelCase  ,   mask_token=UpperCAmelCase  ,   additional_special_tokens=UpperCAmelCase  ,   **UpperCAmelCase  ,   )

       lowercase       : Tuple						=3
       lowercase       : Union[str, Any]						=do_lower_case
       lowercase       : Any						=remove_space
       lowercase       : int						=keep_accents
       lowercase       : int						=vocab_file
       lowercase       : Union[str, Any]						=False if not self.vocab_file else True






      def 					A__   (			self      :		Any  ,   UpperCAmelCase      :		List[int]  ,   UpperCAmelCase      :		Optional[List[int]] = None		)	->	List[int]:


       '''simple docstring'''

       lowercase       : Union[str, Any]						=[self.sep_token_id]
       lowercase       : Optional[Any]						=[self.cls_token_id]
       if token_ids_a is None:
        return token_ids_a + sep + cls
       return token_ids_a + sep + token_ids_a + sep + cls






      def 					A__   (			self      :		str  ,   UpperCAmelCase      :		List[int]  ,   UpperCAmelCase      :		Optional[List[int]] = None		)	->	List[int]:


       '''simple docstring'''

       lowercase       : Optional[int]						=[self.sep_token_id]
       lowercase       : Union[str, Any]						=[2]

       if token_ids_a is None:
        return len(token_ids_a + sep		) * [0] + cls_segment_id
       return len(token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1] + cls_segment_id






      def 					A__   (			self      :		str  ,   UpperCAmelCase      :		str  ,   UpperCAmelCase      :		Optional[str] = None		)	->	Tuple[str]:


       '''simple docstring'''

       if not self.can_save_slow_tokenizer:
        raise ValueError(
            '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
            '''tokenizer.'''		)

       if not os.path.isdir(UpperCAmelCase		):
        logger.error(f'Vocabulary path ({save_directory}) should be a directory'		)
        return
       lowercase       : Dict						=os.path.join(
           UpperCAmelCase  ,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)

       if os.path.abspath(self.vocab_file		) != os.path.abspath(UpperCAmelCase		):
        copyfile(self.vocab_file  ,   UpperCAmelCase		)

       return (out_vocab_file,)



