"""simple docstring"""





from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
				from ..models.auto import AutoTokenizer
class        _snake_case   :






						def 					lowerCamelCase__   (				self					:	str							,    UpperCAmelCase					:	Dict			):
													raise NotImplementedError()







						def 					lowerCamelCase__   (				self					:	List[str]			):
													raise NotImplementedError()

class        _snake_case   (    _UpperCamelCase						):






						def __init__(				self					:	List[str]							,    UpperCAmelCase					:	"AutoTokenizer"							,    UpperCAmelCase					:	bool = False							,    **UpperCAmelCase					:	str			):
													__lowerCamelCase    :						List[str]						      =   tokenizer
													__lowerCamelCase    :						str						      =   skip_prompt
													__lowerCamelCase    :						Any						      =   decode_kwargs

													# variables used in the streaming process
													__lowerCamelCase    :						int						      =   []
													__lowerCamelCase    :						Dict						      =   0
													__lowerCamelCase    :						Optional[Any]						      =   True






						def 					lowerCamelCase__   (				self					:	List[Any]							,    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    :						Union[str, Any]						      =   value[0]

													if self.skip_prompt and self.next_tokens_are_prompt:
																				__lowerCamelCase    :						Optional[int]						      =   False
																				return

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

													self.on_finalized_text(__lowerCamelCase			)






						def 					lowerCamelCase__   (				self					:	int			):
													# Flush the cache, if it exists
													if len(self.token_cache			) > 0:
																				__lowerCamelCase    :						List[Any]						      =   self.tokenizer.decode(self.token_cache							,    **self.decode_kwargs			)
																				__lowerCamelCase    :						List[Any]						      =   text[self.print_len :]
																				__lowerCamelCase    :						Dict						      =   []
																				__lowerCamelCase    :						List[Any]						      =   0
													else:
																				__lowerCamelCase    :						int						      =   ""

													__lowerCamelCase    :						str						      =   True
													self.on_finalized_text(__lowerCamelCase							,    stream_end=__lowerCamelCase			)






						def 					lowerCamelCase__   (				self					:	Optional[int]							,    UpperCAmelCase					:	str							,    UpperCAmelCase					:	bool = False			):
													print(__lowerCamelCase							,    flush=__lowerCamelCase							,    end="" if not stream_end else None			)







						def 					lowerCamelCase__   (				self					:	Any							,    UpperCAmelCase					:	List[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        _snake_case   (    _UpperCamelCase						):






						def __init__(				self					:	Tuple							,    UpperCAmelCase					:	"AutoTokenizer"							,    UpperCAmelCase					:	bool = False							,    UpperCAmelCase					:	Optional[float] = None							,    **UpperCAmelCase					:	Any			):
													super().__init__(__lowerCamelCase							,    __lowerCamelCase							,    **__lowerCamelCase			)
													__lowerCamelCase    :						Optional[Any]						      =   Queue()
													__lowerCamelCase    :						Any						      =   None
													__lowerCamelCase    :						Optional[int]						      =   timeout






						def 					lowerCamelCase__   (				self					:	List[Any]							,    UpperCAmelCase					:	str							,    UpperCAmelCase					:	bool = False			):
													self.text_queue.put(__lowerCamelCase							,    timeout=self.timeout			)
													if stream_end:
																				self.text_queue.put(self.stop_signal							,    timeout=self.timeout			)






						def __iter__(				self					:	Dict			):
													return self







						def 					lowerCamelCase__   (				self					:	Optional[int]			):
													__lowerCamelCase    :						Any						      =   self.text_queue.get(timeout=self.timeout			)
													if value == self.stop_signal:
																				raise StopIteration()
													else:
																				return value





from __future__ import annotations




def 			__magic_name__				( A		:					list   ):






			'''simple docstring'''







			if len(A   ) == 0:
						return []
			a    ,		a    =			min(A   ), max(A   )
			a    =			int(max_value - min_value   ) + 1
			a    =			[[] for _ in range(A   )]

			for i in my_list:
						buckets[int(i - min_value   )].append(A   )

			return [v for bucket in buckets for v in sorted(A   )]


if __name__ == "__main__":
		from doctest import testmod

		testmod()
		assert bucket_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
		assert bucket_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]






