





from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
  from ..models.auto import AutoTokenizer






class     lowercase__       :

   '''simple docstring'''


   def       UpperCamelCase__  (    self,		__magic_name__							) ->      Tuple:






       """simple docstring"""
       raise NotImplementedError()




   def       UpperCamelCase__  (    self							) ->      List[Any]:






       """simple docstring"""
       raise NotImplementedError()






class     lowercase__       (	__lowerCamelCase				):

   '''simple docstring'''


   def __init__(    self,		__magic_name__,		__magic_name__ = False,		**__magic_name__							) ->      Tuple:






       """simple docstring"""
       UpperCamelCase__							:				str          =      tokenizer
       UpperCamelCase__							:				Tuple          =      skip_prompt
       UpperCamelCase__							:				Any          =      decode_kwargs

       # variables used in the streaming process
       UpperCamelCase__							:				Any          =      []
       UpperCamelCase__							:				Optional[int]          =      0
       UpperCamelCase__							:				List[str]          =      True




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      Dict:






       """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:
           UpperCamelCase__							:				Optional[Any]          =      value[0]

       if self.skip_prompt and self.next_tokens_are_prompt:
           UpperCamelCase__							:				Tuple          =      False
           return

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

       self.on_finalized_text(__magic_name__							)




   def       UpperCamelCase__  (    self							) ->      List[Any]:






       """simple docstring"""
       # Flush the cache, if it exists
       if len(self.token_cache							) > 0:
           UpperCamelCase__							:				Tuple          =      self.tokenizer.decode(self.token_cache,		**self.decode_kwargs							)
           UpperCamelCase__							:				int          =      text[self.print_len :]
           UpperCamelCase__							:				Optional[int]          =      []
           UpperCamelCase__							:				Optional[Any]          =      0
       else:
           UpperCamelCase__							:				Union[str, Any]          =      ''''''

       UpperCamelCase__							:				List[Any]          =      True
       self.on_finalized_text(__magic_name__,		stream_end=__magic_name__							)




   def       UpperCamelCase__  (    self,		__magic_name__,		__magic_name__ = False							) ->      str:






       """simple docstring"""
       print(__magic_name__,		flush=__magic_name__,		end='''''' if not stream_end else None							)




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      Union[str, Any]:






       """simple docstring"""
       # 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     lowercase__       (	__lowerCamelCase				):

   '''simple docstring'''


   def __init__(    self,		__magic_name__,		__magic_name__ = False,		__magic_name__ = None,		**__magic_name__							) ->      List[str]:






       """simple docstring"""
       super().__init__(__magic_name__,		__magic_name__,		**__magic_name__							)
       UpperCamelCase__							:				Union[str, Any]          =      Queue()
       UpperCamelCase__							:				int          =      None
       UpperCamelCase__							:				List[Any]          =      timeout




   def       UpperCamelCase__  (    self,		__magic_name__,		__magic_name__ = False							) ->      int:






       """simple docstring"""
       self.text_queue.put(__magic_name__,		timeout=self.timeout							)
       if stream_end:
           self.text_queue.put(self.stop_signal,		timeout=self.timeout							)




   def __iter__(    self							) ->      List[Any]:






       """simple docstring"""
       return self




   def       UpperCamelCase__  (    self							) ->      Tuple:






       """simple docstring"""
       UpperCamelCase__							:				List[Any]          =      self.text_queue.get(timeout=self.timeout							)
       if value == self.stop_signal:
           raise StopIteration()
       else:
           return value








from sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403




def 		lowerCAmelCase_    (  __UpperCAmelCase:			str		,   __UpperCAmelCase:			complex		,   __UpperCAmelCase:			str = "x"		,   __UpperCAmelCase:			float = 10**-10		,   __UpperCAmelCase:			int = 1		,   )      ->	complex:
    UpperCamelCase__							:				Optional[int]          =      symbols(__UpperCAmelCase      )
    UpperCamelCase__							:				Dict          =      lambdify(__UpperCAmelCase		,   __UpperCAmelCase      )
    UpperCamelCase__							:				List[str]          =      lambdify(__UpperCAmelCase		,   diff(__UpperCAmelCase		,   __UpperCAmelCase      )      )

    UpperCamelCase__							:				int          =      starting_point

    while True:
        if diff_function(__UpperCAmelCase      ) != 0:
            UpperCamelCase__							:				Optional[int]          =      prev_guess - multiplicity * func(__UpperCAmelCase      ) / diff_function(
                __UpperCAmelCase      )
        else:
            raise ZeroDivisionError('''Could not find root'''      ) from None

        # Precision is checked by comparing the difference of consecutive guesses
        if abs(next_guess - prev_guess      ) < precision:
            return next_guess

        UpperCamelCase__							:				Tuple          =      next_guess


# Let's Execute
if __name__ == "__main__":
  # Find root of trigonometric function
  # Find value of pi
  print(F'''The root of sin(x) = 0 is {newton_raphson("sin(x)", 2)}''')

  # Find root of polynomial
  # Find fourth Root of 5
  print(F'''The root of x**4 - 5 = 0 is {newton_raphson("x**4 -5", 0.4 +5J)}''')

  # Find value of e
  print(
      'The root of log(y) - 1 = 0 is ',
      F'''{newton_raphson("log(y) - 1", 2, variable="y")}''',
  )

  # Exponential Roots
  print(
      'The root of exp(x) - 1 = 0 is',
      F'''{newton_raphson("exp(x) - 1", 10, precision=0.005)}''',
  )

  # Find root of cos(x)
  print(F'''The root of cos(x) = 0 is {newton_raphson("cos(x)", 0)}''')

