
from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
			from ..models.auto import AutoTokenizer





class 	_lowerCAmelCase					:




				def      __a						(					self				,				_UpperCamelCase     )				->      Optional[Any]:
							raise NotImplementedError()




				def      __a						(					self     )				->      Dict:
							raise NotImplementedError()





class 	_lowerCAmelCase					(	__a       ):




				def __init__(					self				,				_UpperCamelCase				,				_UpperCamelCase = False				,				**_UpperCamelCase     )				->      str:
							lowerCAmelCase_						=	tokenizer
							lowerCAmelCase_						=	skip_prompt
							lowerCAmelCase_						=	decode_kwargs

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




				def      __a						(					self				,				_UpperCamelCase     )				->      str:
							if len(value.shape     ) > 1 and value.shape[0] > 1:
										raise ValueError("TextStreamer only supports batch size 1"     )
							elif len(value.shape     ) > 1:
										lowerCAmelCase_						=	value[0]

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

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

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

							self.on_finalized_text(_UpperCamelCase     )




				def      __a						(					self     )				->      Optional[Any]:
							# Flush the cache, if it exists
							if len(self.token_cache     ) > 0:
										lowerCAmelCase_						=	self.tokenizer.decode(self.token_cache				,				**self.decode_kwargs     )
										lowerCAmelCase_						=	text[self.print_len :]
										lowerCAmelCase_						=	[]
										lowerCAmelCase_						=	0
							else:
										lowerCAmelCase_						=	""

							lowerCAmelCase_						=	True
							self.on_finalized_text(_UpperCamelCase				,				stream_end=_UpperCamelCase     )




				def      __a						(					self				,				_UpperCamelCase				,				_UpperCamelCase = False     )				->      List[str]:
							print(_UpperCamelCase				,				flush=_UpperCamelCase				,				end="" if not stream_end else None     )




				def      __a						(					self				,				_UpperCamelCase     )				->      Tuple:
							# 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_E_0_0 and cp <= 0x9_F_F_F)
							    or (cp >= 0x3_4_0_0 and cp <= 0x4_D_B_F)  #
							    or (cp >= 0x2_0_0_0_0 and cp <= 0x2_A_6_D_F)  #
							    or (cp >= 0x2_A_7_0_0 and cp <= 0x2_B_7_3_F)  #
							    or (cp >= 0x2_B_7_4_0 and cp <= 0x2_B_8_1_F)  #
							    or (cp >= 0x2_B_8_2_0 and cp <= 0x2_C_E_A_F)  #
							    or (cp >= 0xF_9_0_0 and cp <= 0xF_A_F_F)
							    or (cp >= 0x2_F_8_0_0 and cp <= 0x2_F_A_1_F)  #
							):  #
										return True

							return False





class 	_lowerCAmelCase					(	__a       ):




				def __init__(					self				,				_UpperCamelCase				,				_UpperCamelCase = False				,				_UpperCamelCase = None				,				**_UpperCamelCase     )				->      List[Any]:
							super().__init__(_UpperCamelCase				,				_UpperCamelCase				,				**_UpperCamelCase     )
							lowerCAmelCase_						=	Queue()
							lowerCAmelCase_						=	None
							lowerCAmelCase_						=	timeout




				def      __a						(					self				,				_UpperCamelCase				,				_UpperCamelCase = False     )				->      List[Any]:
							self.text_queue.put(_UpperCamelCase				,				timeout=self.timeout     )
							if stream_end:
										self.text_queue.put(self.stop_signal				,				timeout=self.timeout     )




				def __iter__(					self     )				->      Tuple:
							return self




				def      __a						(					self     )				->      Optional[int]:
							lowerCAmelCase_						=	self.text_queue.get(timeout=self.timeout     )
							if value == self.stop_signal:
										raise StopIteration()
							else:
										return value





import functools






def    lowerCamelCase__				(				__lowerCAmelCase  :  str    ,							__lowerCAmelCase  :  str				):




			"""simple docstring"""


			lowerCAmelCase_						=	len(__lowerCAmelCase				)
			lowerCAmelCase_						=	len(__lowerCAmelCase				)

			@functools.cache
			def min_distance(__lowerCAmelCase  :  int    ,							__lowerCAmelCase  :  int				) -> int:
						# if first word index is overflow - delete all from the second word
						if indexa >= len_worda:
									return len_worda - indexa
						# if second word index is overflow - delete all from the first word
						if indexa >= len_worda:
									return len_worda - indexa
						lowerCAmelCase_						=	int(worda[indexa] != worda[indexa]				)  # current letters not identical
						return min(
						    1 + min_distance(indexa + 1    ,							__lowerCAmelCase				)    ,							1 + min_distance(__lowerCAmelCase    ,							indexa + 1				)    ,							diff + min_distance(indexa + 1    ,							indexa + 1				)    ,							)

			return min_distance(0    ,							0				)


if __name__ == "__main__":
			import doctest

			doctest.testmod()



