

from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
						from ..models.auto import AutoTokenizer

class 				__UpperCamelCase				:







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[int]  , __UpperCamelCase: Optional[int]      ):

						'''simple docstring'''





						raise NotImplementedError()







	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]      ):

						'''simple docstring'''





						raise NotImplementedError()




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE			):







	def __init__(   self: List[Any]  , __UpperCamelCase: "AutoTokenizer"  , __UpperCamelCase: bool = False  , **__UpperCamelCase: int      ):

						'''simple docstring'''





						__magic_name__							=    tokenizer
						__magic_name__							=    skip_prompt
						__magic_name__							=    decode_kwargs

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







	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]  , __UpperCamelCase: Optional[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:
											__magic_name__							=    value[0]

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

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

						# After the symbol for a new line, we flush the cache.
						if text.endswith('\n'      ):
											__magic_name__							=    text[self.print_len :]
											__magic_name__							=    []
											__magic_name__							=    0
						# If the last token is a CJK character, we print the characters.
						elif len(__UpperCamelCase      ) > 0 and self._is_chinese_char(ord(text[-1]      )      ):
											__magic_name__							=    text[self.print_len :]
											self.print_len += len(__UpperCamelCase      )
						# 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:
											__magic_name__							=    text[self.print_len : text.rfind(' '      ) + 1]
											self.print_len += len(__UpperCamelCase      )

						self.on_finalized_text(__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: int      ):

						'''simple docstring'''





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

						__magic_name__							=    True
						self.on_finalized_text(__UpperCamelCase  , stream_end=__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Tuple  , __UpperCamelCase: str  , __UpperCamelCase: bool = False      ):

						'''simple docstring'''





						print(__UpperCamelCase  , flush=__UpperCamelCase  , end='' if not stream_end else None      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]  , __UpperCamelCase: Optional[int]      ):

						'''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 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE			):







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

						'''simple docstring'''





						super().__init__(__UpperCamelCase  , __UpperCamelCase  , **__UpperCamelCase      )
						__magic_name__							=    Queue()
						__magic_name__							=    None
						__magic_name__							=    timeout







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]  , __UpperCamelCase: str  , __UpperCamelCase: bool = False      ):

						'''simple docstring'''





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







	def __iter__(   self: Optional[Any]      ):

						'''simple docstring'''





						return self







	def 	_SCREAMING_SNAKE_CASE							(   self: Dict      ):

						'''simple docstring'''





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







from __future__ import annotations




def 					_lowercase     (				a_				:					list[int]				)				->	int:




					'''simple docstring'''







					if not nums:
										return 0
					__magic_name__							=    nums[0]
					__magic_name__							=    0
					for num in nums[1:]:
										__magic_name__,	__magic_name__							=    (
										    max_excluding + num,
										    max(a_					,a_				),
										)
					return max(a_					,a_				)


if __name__ == "__main__":
						import doctest

						doctest.testmod()




