






'''simple docstring'''

from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
						from ..models.auto import AutoTokenizer



class 							__magic_name__     :







	"""simple docstring"""



	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  Optional[Any]:
							raise NotImplementedError()







	def        lowerCamelCase__		(							self       )						->  str:
							raise NotImplementedError()



class 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	def __init__(							self  ,      _lowercase  ,      _lowercase = False  ,      **_lowercase       )						->  Dict:
							lowercase_      :   Tuple        =			tokenizer
							lowercase_      :   Union[str, Any]        =			skip_prompt
							lowercase_      :   int        =			decode_kwargs

							# variables used in the streaming process
							lowercase_      :   Tuple        =			[]
							lowercase_      :   Tuple        =			0
							lowercase_      :   List[str]        =			True
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  List[str]:
							if len(value.shape       ) > 1 and value.shape[0] > 1:
													raise ValueError('TextStreamer only supports batch size 1'       )
							elif len(value.shape       ) > 1:
													lowercase_      :   List[Any]        =			value[0]

							if self.skip_prompt and self.next_tokens_are_prompt:
													lowercase_      :   Any        =			False
													return

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

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

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

							lowercase_      :   Any        =			True
							self.on_finalized_text(_lowercase  ,      stream_end=_lowercase       )
	def        lowerCamelCase__		(							self  ,      _lowercase  ,      _lowercase = False       )						->  Any:
							print(_lowercase  ,      flush=_lowercase  ,      end='' if not stream_end else None       )







	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  Any:
							# 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 >= 0X4_e00 and cp <= 0X9_fff)
							    or (cp >= 0X3_400 and cp <= 0X4_dbf)  #
							    or (cp >= 0X20_000 and cp <= 0X2a_6df)  #
							    or (cp >= 0X2a_700 and cp <= 0X2b_73f)  #
							    or (cp >= 0X2b_740 and cp <= 0X2b_81f)  #
							    or (cp >= 0X2b_820 and cp <= 0X2c_eaf)  #
							    or (cp >= 0Xf_900 and cp <= 0Xf_aff)
							    or (cp >= 0X2f_800 and cp <= 0X2f_a1f)  #
							):  #
													return True

							return False



class 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	def __init__(							self  ,      _lowercase  ,      _lowercase = False  ,      _lowercase = None  ,      **_lowercase       )						->  Optional[Any]:
							super().__init__(_lowercase  ,      _lowercase  ,      **_lowercase       )
							lowercase_      :   str        =			Queue()
							lowercase_      :   Tuple        =			None
							lowercase_      :   Any        =			timeout
	def        lowerCamelCase__		(							self  ,      _lowercase  ,      _lowercase = False       )						->  Optional[int]:
							self.text_queue.put(_lowercase  ,      timeout=self.timeout       )
							if stream_end:
													self.text_queue.put(self.stop_signal  ,      timeout=self.timeout       )
	def __iter__(							self       )						->  Tuple:
							return self







	def        lowerCamelCase__		(							self       )						->  Optional[Any]:
							lowercase_      :   Union[str, Any]        =			self.text_queue.get(timeout=self.timeout       )
							if value == self.stop_signal:
													raise StopIteration()
							else:
													return value








'''simple docstring'''

def 	_UpperCAmelCase    (  a		:	str							)			->			str:





						"""simple docstring"""
						lowercase_      :   Dict        =			0

						# if input_string is "aba" than new_input_string become "a|b|a"
						lowercase_      :   Dict        =			''
						lowercase_      :   Any        =			''

						# append each character + "|" in new_string for range(0, length-1)
						for i in input_string[: len(a							) - 1]:
												new_input_string += i + "|"
						# append last character
						new_input_string += input_string[-1]

						# we will store the starting and ending of previous furthest ending palindromic
						# substring
						lowercase_  ,      lowercase_      :   Dict        =			0, 0

						# length[i] shows the length of palindromic substring with center i
						lowercase_      :   List[Any]        =			[1 for i in range(len(a							)							)]

						# for each character in new_string find corresponding palindromic string
						lowercase_      :   Dict        =			0
						for j in range(len(a							)							):
												lowercase_      :   Tuple        =			1 if j > r else min(length[l + r - j] // 2						,			r - j + 1							)
												while (
												    j - k >= 0
												    and j + k < len(a							)
												    and new_input_string[k + j] == new_input_string[j - k]
												):
																		k += 1

												lowercase_      :   int        =			2 * k - 1

												# does this string is ending after the previously explored end (that is r) ?
												# if yes the update the new r to the last index of this
												if j + k - 1 > r:
																		lowercase_      :   Tuple        =			j - k + 1  # noqa: E741
																		lowercase_      :   Tuple        =			j + k - 1

												# update max_length and start position
												if max_length < length[j]:
																		lowercase_      :   Tuple        =			length[j]
																		lowercase_      :   List[Any]        =			j

    # create that string
						lowercase_      :   str        =			new_input_string[start - max_length // 2 : start + max_length // 2 + 1]
						for i in s:
												if i != "|":
																		output_string += i

						return output_string


if __name__ == "__main__":
						import doctest

						doctest.testmod()
