



from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
			from ..models.auto import AutoTokenizer


class 						lowercase    :
						'''simple docstring'''


						def       lowerCamelCase_				(  self    :				str       ,	snake_case    :				int	):



											'''simple docstring'''


											raise NotImplementedError()







						def       lowerCamelCase_				(  self    :				Dict	):



											'''simple docstring'''


											raise NotImplementedError()


class 						lowercase    (							SCREAMING_SNAKE_CASE_):
						'''simple docstring'''


						def __init__(  self    :				Optional[int]       ,	snake_case    :				"AutoTokenizer"       ,	snake_case    :				bool = False       ,	**snake_case    :				Optional[int]	):



											'''simple docstring'''


											SCREAMING_SNAKE_CASE							:     int						=				tokenizer
											SCREAMING_SNAKE_CASE							:     Union[str, Any]						=				skip_prompt
											SCREAMING_SNAKE_CASE							:     Optional[Any]						=				decode_kwargs

											# variables used in the streaming process
											SCREAMING_SNAKE_CASE							:     Dict						=				[]
											SCREAMING_SNAKE_CASE							:     List[str]						=				0
											SCREAMING_SNAKE_CASE							:     List[Any]						=				True







						def       lowerCamelCase_				(  self    :				Tuple       ,	snake_case    :				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:
																SCREAMING_SNAKE_CASE							:     Optional[int]						=				value[0]

											if self.skip_prompt and self.next_tokens_are_prompt:
																SCREAMING_SNAKE_CASE							:     List[Any]						=				False
																return

											# Add the new token to the cache and decodes the entire thing.
											self.token_cache.extend(value.tolist()	)
											SCREAMING_SNAKE_CASE							:     Optional[int]						=				self.tokenizer.decode(self.token_cache       ,	**self.decode_kwargs	)

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

											self.on_finalized_text(snake_case	)







						def       lowerCamelCase_				(  self    :				List[str]	):



											'''simple docstring'''


											if len(self.token_cache	) > 0:
																SCREAMING_SNAKE_CASE							:     List[str]						=				self.tokenizer.decode(self.token_cache       ,	**self.decode_kwargs	)
																SCREAMING_SNAKE_CASE							:     str						=				text[self.print_len :]
																SCREAMING_SNAKE_CASE							:     str						=				[]
																SCREAMING_SNAKE_CASE							:     List[str]						=				0
											else:
																SCREAMING_SNAKE_CASE							:     Optional[Any]						=				''

											SCREAMING_SNAKE_CASE							:     List[Any]						=				True
											self.on_finalized_text(snake_case       ,	stream_end=snake_case	)







						def       lowerCamelCase_				(  self    :				Optional[Any]       ,	snake_case    :				str       ,	snake_case    :				bool = False	):



											'''simple docstring'''


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







						def       lowerCamelCase_				(  self    :				str       ,	snake_case    :				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 						lowercase    (							SCREAMING_SNAKE_CASE_):
						'''simple docstring'''


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



											'''simple docstring'''


											super().__init__(snake_case       ,	snake_case       ,	**snake_case	)
											SCREAMING_SNAKE_CASE							:     Optional[Any]						=				Queue()
											SCREAMING_SNAKE_CASE							:     Union[str, Any]						=				None
											SCREAMING_SNAKE_CASE							:     Tuple						=				timeout







						def       lowerCamelCase_				(  self    :				Any       ,	snake_case    :				str       ,	snake_case    :				bool = False	):



											'''simple docstring'''


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







						def __iter__(  self    :				List[str]	):



											'''simple docstring'''


											return self







						def       lowerCamelCase_				(  self    :				Optional[int]	):



											'''simple docstring'''


											SCREAMING_SNAKE_CASE							:     Union[str, Any]						=				self.text_queue.get(timeout=self.timeout	)
											if value == self.stop_signal:
																raise StopIteration()
											else:
																return value




from __future__ import annotations

import numpy as np

def        __a			(   __lowerCAmelCase   )     ->     Optional[Any]:
					return np.maximum(0      ,	__lowerCAmelCase   )


if __name__ == "__main__":
			print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]