





from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
	from ..models.auto import AutoTokenizer




class   UpperCamelCase_       :


							def      _snake_case  (							self    :Any							,				__A    :Tuple		)   ->   Optional[Any]:



									"""simple docstring"""



									raise NotImplementedError()


							def      _snake_case  (							self    :Any		)   ->   Optional[Any]:



									"""simple docstring"""



									raise NotImplementedError()




class   UpperCamelCase_       (     UpperCamelCase__    ):


							def __init__(							self    :Optional[int]							,				__A    :"AutoTokenizer"							,				__A    :bool = False							,				**__A    :Optional[Any]		)   ->   Dict:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      tokenizer
									SCREAMING_SNAKE_CASE__			=      skip_prompt
									SCREAMING_SNAKE_CASE__			=      decode_kwargs

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


							def      _snake_case  (							self    :Optional[Any]							,				__A    :List[str]		)   ->   Union[str, 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__			=      value[0]

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

									# Add the new token to the cache and decodes the entire thing.
									self.token_cache.extend(value.tolist()		)
									SCREAMING_SNAKE_CASE__			=      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__			=      text[self.print_len :]
											SCREAMING_SNAKE_CASE__			=      []
											SCREAMING_SNAKE_CASE__			=      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]		)		):
											SCREAMING_SNAKE_CASE__			=      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:
											SCREAMING_SNAKE_CASE__			=      text[self.print_len : text.rfind(""" """		) + 1]
											self.print_len += len(__A		)

									self.on_finalized_text(__A		)


							def      _snake_case  (							self    :Union[str, Any]		)   ->   int:



									"""simple docstring"""



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

									SCREAMING_SNAKE_CASE__			=      True
									self.on_finalized_text(__A							,				stream_end=__A		)


							def      _snake_case  (							self    :int							,				__A    :str							,				__A    :bool = False		)   ->   Union[str, Any]:



									"""simple docstring"""



									print(__A							,				flush=__A							,				end="""""" if not stream_end else None		)


							def      _snake_case  (							self    :Optional[Any]							,				__A    :Optional[Any]		)   ->   Union[str, Any]:



									"""simple docstring"""



									if (
									    (cp >= 0X4E_00 and cp <= 0X9F_FF)
									    or (cp >= 0X34_00 and cp <= 0X4D_BF)  #
									    or (cp >= 0X2_00_00 and cp <= 0X2_A6_DF)  #
									    or (cp >= 0X2_A7_00 and cp <= 0X2_B7_3F)  #
									    or (cp >= 0X2_B7_40 and cp <= 0X2_B8_1F)  #
									    or (cp >= 0X2_B8_20 and cp <= 0X2_CE_AF)  #
									    or (cp >= 0XF9_00 and cp <= 0XFA_FF)
									    or (cp >= 0X2_F8_00 and cp <= 0X2_FA_1F)  #
									):  #
											return True

									return False




class   UpperCamelCase_       (     UpperCamelCase__    ):


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



									"""simple docstring"""



									super().__init__(__A							,				__A							,				**__A		)
									SCREAMING_SNAKE_CASE__			=      Queue()
									SCREAMING_SNAKE_CASE__			=      None
									SCREAMING_SNAKE_CASE__			=      timeout


							def      _snake_case  (							self    :str							,				__A    :str							,				__A    :bool = False		)   ->   str:



									"""simple docstring"""



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


							def __iter__(							self    :List[str]		)   ->   Tuple:



									"""simple docstring"""



									return self


							def      _snake_case  (							self    :Dict		)   ->   int:



									"""simple docstring"""



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






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							list[list[float]]    ):
		SCREAMING_SNAKE_CASE__			=      []
		for data in source_data:
				for i, el in enumerate(UpperCamelCase__    ):
						if len(UpperCamelCase__    ) < i + 1:
								data_lists.append([]    )
						data_lists[i].append(float(UpperCamelCase__    )    )
		return data_lists






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							list[list[float]]					,   UpperCamelCase__:							list[int]    ):
		SCREAMING_SNAKE_CASE__			=      []
		for dlist, weight in zip(UpperCamelCase__					,   UpperCamelCase__    ):
				SCREAMING_SNAKE_CASE__			=      min(UpperCamelCase__    )
				SCREAMING_SNAKE_CASE__			=      max(UpperCamelCase__    )

				SCREAMING_SNAKE_CASE__			=      []
				# for weight 0 score is 1 - actual score
				if weight == 0:
						for item in dlist:
								try:
										score.append(1 - ((item - mind) / (maxd - mind))    )
								except ZeroDivisionError:
										score.append(1    )

				elif weight == 1:
						for item in dlist:
								try:
										score.append((item - mind) / (maxd - mind)    )
								except ZeroDivisionError:
										score.append(0    )

        # weight not 0 or 1
				else:
						SCREAMING_SNAKE_CASE__			=      f'''Invalid weight of {weight:f} provided'''
						raise ValueError(UpperCamelCase__    )

				score_lists.append(UpperCamelCase__    )

		return score_lists






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							list[list[float]]    ):
		SCREAMING_SNAKE_CASE__			=      [0 for i in range(len(score_lists[0]    )    )]

		for slist in score_lists:
				for j, ele in enumerate(UpperCamelCase__    ):
						SCREAMING_SNAKE_CASE__			=      final_scores[j] + ele

		return final_scores






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							list[list[float]]					,   UpperCamelCase__:							list[int]    ):
		SCREAMING_SNAKE_CASE__			=      get_data(UpperCamelCase__    )
		SCREAMING_SNAKE_CASE__			=      calculate_each_score(UpperCamelCase__					,   UpperCamelCase__    )
		SCREAMING_SNAKE_CASE__			=      generate_final_scores(UpperCamelCase__    )

		# append scores to source data
		for i, ele in enumerate(UpperCamelCase__    ):
				source_data[i].append(UpperCamelCase__    )

		return source_data