



'''simple docstring'''

from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
	from ..models.auto import AutoTokenizer






class 						a_		:


							def    UpperCamelCase     (				self   :						Optional[int]      ,						a_   :						int			)			->					Optional[int]:
										raise NotImplementedError()




							def    UpperCamelCase     (				self   :						Union[str, Any]			)			->					List[str]:
										raise NotImplementedError()






class 						a_		(     snake_case    ):


							def __init__(				self   :						Union[str, Any]      ,						a_   :						"AutoTokenizer"      ,						a_   :						bool = False      ,						**a_   :						List[str]			)			->					str:
										snake_case:    int      							=tokenizer
										snake_case:    Optional[Any]      							=skip_prompt
										snake_case:    Dict      							=decode_kwargs

										# variables used in the streaming process
										snake_case:    Optional[Any]      							=[]
										snake_case:    Optional[Any]      							=0
										snake_case:    Tuple      							=True


							def    UpperCamelCase     (				self   :						int      ,						a_   :						Any			)			->					str:
										if len(value.shape			) > 1 and value.shape[0] > 1:
													raise ValueError('TextStreamer only supports batch size 1'			)
										elif len(value.shape			) > 1:
													snake_case:    Optional[Any]      							=value[0]

										if self.skip_prompt and self.next_tokens_are_prompt:
													snake_case:    Union[str, Any]      							=False
													return

										# Add the new token to the cache and decodes the entire thing.
										self.token_cache.extend(value.tolist()			)
										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'			):
													snake_case:    Dict      							=text[self.print_len :]
													snake_case:    int      							=[]
													snake_case:    Tuple      							=0
										# If the last token is a CJK character, we print the characters.
										elif len(a_			) > 0 and self._is_chinese_char(ord(text[-1]			)			):
													snake_case:    Any      							=text[self.print_len :]
													self.print_len += len(a_			)
										# 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:
													snake_case:    List[str]      							=text[self.print_len : text.rfind(' '			) + 1]
													self.print_len += len(a_			)

										self.on_finalized_text(a_			)


							def    UpperCamelCase     (				self   :						Dict			)			->					str:
										# Flush the cache, if it exists
										if len(self.token_cache			) > 0:
													snake_case:    List[str]      							=self.tokenizer.decode(self.token_cache      ,						**self.decode_kwargs			)
													snake_case:    Any      							=text[self.print_len :]
													snake_case:    Optional[int]      							=[]
													snake_case:    int      							=0
										else:
													snake_case:    Dict      							=''

										snake_case:    Tuple      							=True
										self.on_finalized_text(a_      ,						stream_end=a_			)


							def    UpperCamelCase     (				self   :						Optional[Any]      ,						a_   :						str      ,						a_   :						bool = False			)			->					Dict:
										print(a_      ,						flush=a_      ,						end='' if not stream_end else None			)




							def    UpperCamelCase     (				self   :						List[str]      ,						a_   :						Union[str, Any]			)			->					str:
										# This defines a "chinese character" as anything in the CJK Unicode block:
										#   https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
										#
										# Note that the CJK Unicode block is NOT all Japanese and Korean characters,
										# despite its name. The modern Korean Hangul alphabet is a different block,
										# as is Japanese Hiragana and Katakana. Those alphabets are used to write
										# space-separated words, so they are not treated specially and handled
										# like the all of the other languages.
										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_		(     snake_case    ):


							def __init__(				self   :						int      ,						a_   :						"AutoTokenizer"      ,						a_   :						bool = False      ,						a_   :						Optional[float] = None      ,						**a_   :						int			)			->					str:
										super().__init__(a_      ,						a_      ,						**a_			)
										snake_case:    Optional[int]      							=Queue()
										snake_case:    Tuple      							=None
										snake_case:    Optional[Any]      							=timeout


							def    UpperCamelCase     (				self   :						int      ,						a_   :						str      ,						a_   :						bool = False			)			->					Tuple:
										self.text_queue.put(a_      ,						timeout=self.timeout			)
										if stream_end:
													self.text_queue.put(self.stop_signal      ,						timeout=self.timeout			)


							def __iter__(				self   :						str			)			->					str:
										return self




							def    UpperCamelCase     (				self   :						str			)			->					List[str]:
										snake_case:    int      							=self.text_queue.get(timeout=self.timeout			)
										if value == self.stop_signal:
													raise StopIteration()
										else:
													return value









'''simple docstring'''

from __future__ import annotations







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





			"""simple docstring"""







			snake_case:    Tuple      							=[True] * limit
			snake_case:    Optional[int]      							=False
			snake_case:    Union[str, Any]      							=False
			snake_case:    List[Any]      							=True

			for i in range(3				,							int(limit**0.5 + 1					)				,							2					):
						snake_case:    str      							=i * 2
						while index < limit:
									snake_case:    List[Any]      							=False
									snake_case:    List[str]      							=index + i

			snake_case:    Union[str, Any]      							=[2]

			for i in range(3				,							__UpperCAmelCase				,							2					):
						if is_prime[i]:
									primes.append(__UpperCAmelCase					)

			return primes







def a_     (    __UpperCAmelCase = 1_00_00_00					)				->					int:





			"""simple docstring"""







			snake_case:    str      							=prime_sieve(__UpperCAmelCase					)
			snake_case:    str      							=0
			snake_case:    str      							=0

			for i in range(len(__UpperCAmelCase					)					):
						for j in range(i + length				,							len(__UpperCAmelCase					)					):
									snake_case:    Tuple      							=sum(primes[i:j]					)
									if sol >= ceiling:
												break

									if sol in primes:
												snake_case:    List[str]      							=j - i
												snake_case:    Optional[int]      							=sol

			return largest


if __name__ == "__main__":
	print(F"""{solution() = }""")




