

"""simple docstring"""





from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
							from ..models.auto import AutoTokenizer







class 							SCREAMING_SNAKE_CASE   :






					"""simple docstring"""



					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							List[Any]						):
						raise NotImplementedError()







					def 			__lowerCAmelCase					(			self     :							Union[str, Any]						):
						raise NotImplementedError()







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



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

						# variables used in the streaming process
						lowerCAmelCase__      :		Union[str, Any]    							=      []
						lowerCAmelCase__      :		Optional[Any]    							=      0
						lowerCAmelCase__      :		List[Any]    							=      True







					def 			__lowerCAmelCase					(			self     :							int  ,lowercase_     :							Tuple						):
						if len(value.shape						) > 1 and value.shape[0] > 1:
							raise ValueError('''TextStreamer only supports batch size 1'''						)
						elif len(value.shape						) > 1:
							lowerCAmelCase__      :		List[Any]    							=      value[0]

						if self.skip_prompt and self.next_tokens_are_prompt:
							lowerCAmelCase__      :		List[Any]    							=      False
							return

						# Add the new token to the cache and decodes the entire thing.
						self.token_cache.extend(value.tolist()						)
						lowerCAmelCase__      :		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'''						):
							lowerCAmelCase__      :		List[str]    							=      text[self.print_len :]
							lowerCAmelCase__      :		Union[str, Any]    							=      []
							lowerCAmelCase__      :		Tuple    							=      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]						)						):
							lowerCAmelCase__      :		Tuple    							=      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:
							lowerCAmelCase__      :		List[Any]    							=      text[self.print_len : text.rfind(''' '''						) + 1]
							self.print_len += len(lowercase_						)

						self.on_finalized_text(lowercase_						)







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

						lowerCAmelCase__      :		Any    							=      True
						self.on_finalized_text(lowercase_  ,stream_end=lowercase_						)







					def 			__lowerCAmelCase					(			self     :							Union[str, Any]  ,lowercase_     :							str  ,lowercase_     :							bool = False						):
						print(lowercase_  ,flush=lowercase_  ,end='''''' if not stream_end else None						)







					def 			__lowerCAmelCase					(			self     :							Union[str, Any]  ,lowercase_     :							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 >= 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 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					def __init__(			self     :							Tuple  ,lowercase_     :							"AutoTokenizer"  ,lowercase_     :							bool = False  ,lowercase_     :							Optional[float] = None  ,**lowercase_     :							Optional[Any]						):
						super().__init__(lowercase_  ,lowercase_  ,**lowercase_						)
						lowerCAmelCase__      :		str    							=      Queue()
						lowerCAmelCase__      :		Optional[Any]    							=      None
						lowerCAmelCase__      :		List[str]    							=      timeout







					def 			__lowerCAmelCase					(			self     :							Union[str, Any]  ,lowercase_     :							str  ,lowercase_     :							bool = False						):
						self.text_queue.put(lowercase_  ,timeout=self.timeout						)
						if stream_end:
							self.text_queue.put(self.stop_signal  ,timeout=self.timeout						)







					def __iter__(			self     :							Optional[Any]						):
						return self







					def 			__lowerCAmelCase					(			self     :							List[Any]						):
						lowerCAmelCase__      :		Tuple    							=      self.text_queue.get(timeout=self.timeout						)
						if value == self.stop_signal:
							raise StopIteration()
						else:
							return value







"""simple docstring"""





def     __SCREAMING_SNAKE_CASE    ( A_		,	A_					):
	if number < 0 or shift_amount < 0:
		raise ValueError('''both inputs must be positive integers'''					)

	lowerCAmelCase__      :		int    							=      str(bin(A_					)					)
	binary_number += "0" * shift_amount
	return binary_number

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_					):
	if number < 0 or shift_amount < 0:
		raise ValueError('''both inputs must be positive integers'''					)

	lowerCAmelCase__      :		Any    							=      str(bin(A_					)					)[2:]
	if shift_amount >= len(A_					):
		return "0b0"
	lowerCAmelCase__      :		Tuple    							=      binary_number[: len(A_					) - shift_amount]
	return "0b" + shifted_binary_number

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_					):
	if number >= 0:  # Get binary representation of positive number
		lowerCAmelCase__      :		Union[str, Any]    							=      '''0''' + str(bin(A_					)					).strip('''-'''					)[2:]
	else:  # Get binary (2's complement) representation of negative number
		lowerCAmelCase__      :		Optional[Any]    							=      len(bin(A_					)[3:]					)  # Find 2's complement of number
		lowerCAmelCase__      :		Optional[int]    							=      bin(abs(A_					) - (1 << binary_number_length)					)[3:]
		lowerCAmelCase__      :		int    							=      (
		    '''1''' + '''0''' * (binary_number_length - len(A_					)) + binary_number
		)

	if shift_amount >= len(A_					):
		return "0b" + binary_number[0] * len(A_					)
	return (
	    "0b"
	    + binary_number[0] * shift_amount
	    + binary_number[: len(A_					) - shift_amount]
	)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




