





from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
					from ..models.auto import AutoTokenizer


class     A     :
			'''simple docstring'''




			def   a_			(     self  :       Optional[Any]				,      __lowerCAmelCase  :       int  )      ->      Any:







					"""simple docstring"""






					raise NotImplementedError()







			def   a_			(     self  :       List[Any]  )      ->      Any:







					"""simple docstring"""






					raise NotImplementedError()


class     A     (SCREAMING_SNAKE_CASE       ):
			'''simple docstring'''




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







					"""simple docstring"""






					A__     =  tokenizer
					A__     =  skip_prompt
					A__     =  decode_kwargs

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






			def   a_			(     self  :       Optional[Any]				,      __lowerCAmelCase  :       Tuple  )      ->      Optional[int]:







					"""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:
							A__     =  value[0]

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

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

					# After the symbol for a new line, we flush the cache.
					if text.endswith("""\n"""  ):
							A__     =  text[self.print_len :]
							A__     =  []
							A__     =  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]  )  ):
							A__     =  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:
							A__     =  text[self.print_len : text.rfind(""" """  ) + 1]
							self.print_len += len(__lowerCAmelCase  )

					self.on_finalized_text(__lowerCAmelCase  )






			def   a_			(     self  :       Union[str, Any]  )      ->      Union[str, Any]:







					"""simple docstring"""






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

					A__     =  True
					self.on_finalized_text(__lowerCAmelCase				,      stream_end=__lowerCAmelCase  )






			def   a_			(     self  :       Any				,      __lowerCAmelCase  :       str				,      __lowerCAmelCase  :       bool = False  )      ->      str:







					"""simple docstring"""






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







			def   a_			(     self  :       Union[str, Any]				,      __lowerCAmelCase  :       Dict  )      ->      Optional[Any]:







					"""simple docstring"""






					if (
					    (cp >= 0X4E00 and cp <= 0X9FFF)
					    or (cp >= 0X3400 and cp <= 0X4DBF)  #
					    or (cp >= 0X20000 and cp <= 0X2A6DF)  #
					    or (cp >= 0X2A700 and cp <= 0X2B73F)  #
					    or (cp >= 0X2B740 and cp <= 0X2B81F)  #
					    or (cp >= 0X2B820 and cp <= 0X2CEAF)  #
					    or (cp >= 0XF900 and cp <= 0XFAFF)
					    or (cp >= 0X2F800 and cp <= 0X2FA1F)  #
					):  #
							return True

					return False


class     A     (SCREAMING_SNAKE_CASE       ):
			'''simple docstring'''




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







					"""simple docstring"""






					super().__init__(__lowerCAmelCase				,      __lowerCAmelCase				,      **__lowerCAmelCase  )
					A__     =  Queue()
					A__     =  None
					A__     =  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]  )      ->      List[Any]:







					"""simple docstring"""






					return self







			def   a_			(     self  :       List[str]  )      ->      Union[str, Any]:







					"""simple docstring"""






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










import numpy as np







def   __lowerCamelCase   (				__a  :np.array       )						->							np.array:






		"""simple docstring"""

		return 1 / (1 + np.exp(-vector       ))







def   __lowerCamelCase   (				__a  :np.array       )						->							np.array:






		"""simple docstring"""

		return vector * sigmoid(1.702 * vector       )


if __name__ == "__main__":
					import doctest

					doctest.testmod()



