






'''simple docstring'''





from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
 from ..models.auto import AutoTokenizer
class 				lowercase       :


    '''simple docstring'''

    def    a__				(					self     :     Dict				,     __lowerCamelCase     :     Tuple     )							->							Union[str, Any]:

     '''simple docstring'''




     raise NotImplementedError()




    def    a__				(					self     :     int     )							->							List[str]:

     '''simple docstring'''




     raise NotImplementedError()
class 				lowercase       (							_lowerCamelCase      ):


    '''simple docstring'''

    def __init__(					self     :     Any				,     __lowerCamelCase     :     "AutoTokenizer"				,     __lowerCamelCase     :     bool = False				,     **__lowerCamelCase     :     Any     )							->							List[Any]:

     '''simple docstring'''




     lowerCamelCase__  =     tokenizer
     lowerCamelCase__  =     skip_prompt
     lowerCamelCase__  =     decode_kwargs

     # variables used in the streaming process
     lowerCamelCase__  =     []
     lowerCamelCase__  =     0
     lowerCamelCase__  =     True

    def    a__				(					self     :     List[str]				,     __lowerCamelCase     :     Tuple     )							->							Union[str, Any]:

     '''simple docstring'''




     if len(value.shape     ) > 1 and value.shape[0] > 1:
      raise ValueError("TextStreamer only supports batch size 1"     )
     elif len(value.shape     ) > 1:
      lowerCamelCase__  =     value[0]

     if self.skip_prompt and self.next_tokens_are_prompt:
      lowerCamelCase__  =     False
      return

     # Add the new token to the cache and decodes the entire thing.
     self.token_cache.extend(value.tolist()     )
     lowerCamelCase__  =     self.tokenizer.decode(self.token_cache				,     **self.decode_kwargs     )

     # After the symbol for a new line, we flush the cache.
     if text.endswith("\n"     ):
      lowerCamelCase__  =     text[self.print_len :]
      lowerCamelCase__  =     []
      lowerCamelCase__  =     0
     # If the last token is a CJK character, we print the characters.
     elif len(__lowerCamelCase     ) > 0 and self._is_chinese_char(ord(text[-1]     )     ):
      lowerCamelCase__  =     text[self.print_len :]
      self.print_len += len(__lowerCamelCase     )
     # Otherwise, prints until the last space char (simple heuristic to avoid printing incomplete words,
     # which may change with the subsequent token -- there are probably smarter ways to do this!)
     else:
      lowerCamelCase__  =     text[self.print_len : text.rfind(" "     ) + 1]
      self.print_len += len(__lowerCamelCase     )

     self.on_finalized_text(__lowerCamelCase     )

    def    a__				(					self     :     Optional[int]     )							->							str:

     '''simple docstring'''




     if len(self.token_cache     ) > 0:
      lowerCamelCase__  =     self.tokenizer.decode(self.token_cache				,     **self.decode_kwargs     )
      lowerCamelCase__  =     text[self.print_len :]
      lowerCamelCase__  =     []
      lowerCamelCase__  =     0
     else:
      lowerCamelCase__  =     ""

     lowerCamelCase__  =     True
     self.on_finalized_text(__lowerCamelCase				,     stream_end=__lowerCamelCase     )

    def    a__				(					self     :     str				,     __lowerCamelCase     :     str				,     __lowerCamelCase     :     bool = False     )							->							Any:

     '''simple docstring'''




     print(__lowerCamelCase				,     flush=__lowerCamelCase				,     end="" if not stream_end else None     )




    def    a__				(					self     :     Optional[Any]				,     __lowerCamelCase     :     List[str]     )							->							str:

     '''simple docstring'''




     if (
         (cp >= 0x4E_00 and cp <= 0x9F_FF)
         or (cp >= 0x34_00 and cp <= 0x4D_BF)  #
         or (cp >= 0x2_00_00 and cp <= 0x2_A6_DF)  #
         or (cp >= 0x2_A7_00 and cp <= 0x2_B7_3F)  #
         or (cp >= 0x2_B7_40 and cp <= 0x2_B8_1F)  #
         or (cp >= 0x2_B8_20 and cp <= 0x2_CE_AF)  #
         or (cp >= 0xF9_00 and cp <= 0xFA_FF)
         or (cp >= 0x2_F8_00 and cp <= 0x2_FA_1F)  #
     ):  #
      return True

     return False
class 				lowercase       (							_lowerCamelCase      ):


    '''simple docstring'''

    def __init__(					self     :     Optional[Any]				,     __lowerCamelCase     :     "AutoTokenizer"				,     __lowerCamelCase     :     bool = False				,     __lowerCamelCase     :     Optional[float] = None				,     **__lowerCamelCase     :     Optional[Any]     )							->							List[str]:

     '''simple docstring'''




     super().__init__(__lowerCamelCase				,     __lowerCamelCase				,     **__lowerCamelCase     )
     lowerCamelCase__  =     Queue()
     lowerCamelCase__  =     None
     lowerCamelCase__  =     timeout

    def    a__				(					self     :     List[Any]				,     __lowerCamelCase     :     str				,     __lowerCamelCase     :     bool = False     )							->							Dict:

     '''simple docstring'''




     self.text_queue.put(__lowerCamelCase				,     timeout=self.timeout     )
     if stream_end:
      self.text_queue.put(self.stop_signal				,     timeout=self.timeout     )

    def __iter__(					self     :     Optional[int]     )							->							Dict:

     '''simple docstring'''




     return self




    def    a__				(					self     :     List[Any]     )							->							List[str]:

     '''simple docstring'''




     lowerCamelCase__  =     self.text_queue.get(timeout=self.timeout     )
     if value == self.stop_signal:
      raise StopIteration()
     else:
      return value









'''simple docstring'''





def    lowerCamelCase_     (    lowercase__				,     lowercase__				,     lowercase__):
 return round(float(moles / volume) * nfactor)






def    lowerCamelCase_     (    lowercase__				,     lowercase__				,     lowercase__):
 return round(float((moles * 0.0_821 * temperature) / (volume)))






def    lowerCamelCase_     (    lowercase__				,     lowercase__				,     lowercase__):
 return round(float((moles * 0.0_821 * temperature) / (pressure)))






def    lowerCamelCase_     (    lowercase__				,     lowercase__				,     lowercase__):
 return round(float((pressure * volume) / (0.0_821 * moles)))


if __name__ == "__main__":
 import doctest

 doctest.testmod()

