

from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
     from ..models.auto import AutoTokenizer





class  __UpperCAmelCase					:



   def 	__magic_name__   (							self							:					List[str],		__A							:					List[str]						):
     raise NotImplementedError()





   def 	__magic_name__   (							self							:					Tuple						):
     raise NotImplementedError()






class  __UpperCAmelCase					(	lowerCamelCase__						):



   def __init__(							self							:					str,		__A							:					"AutoTokenizer",		__A							:					bool = False,		**__A							:					Dict						):
     UpperCAmelCase	:							str						=			tokenizer
     UpperCAmelCase	:							Tuple						=			skip_prompt
     UpperCAmelCase	:							Tuple						=			decode_kwargs

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



   def 	__magic_name__   (							self							:					List[Any],		__A							:					Optional[Any]						):
     if len(value.shape						) > 1 and value.shape[0] > 1:
       raise ValueError('''TextStreamer only supports batch size 1'''						)
     elif len(value.shape						) > 1:
       UpperCAmelCase	:							Any						=			value[0]

     if self.skip_prompt and self.next_tokens_are_prompt:
       UpperCAmelCase	:							Optional[int]						=			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	:							List[str]						=			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]						)						):
       UpperCAmelCase	:							Any						=			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:
       UpperCAmelCase	:							Dict						=			text[self.print_len : text.rfind(''' '''						) + 1]
       self.print_len += len(__A						)

     self.on_finalized_text(__A						)



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

     UpperCAmelCase	:							int						=			True
     self.on_finalized_text(__A,		stream_end=__A						)



   def 	__magic_name__   (							self							:					str,		__A							:					str,		__A							:					bool = False						):
     print(__A,		flush=__A,		end='''''' if not stream_end else None						)





   def 	__magic_name__   (							self							:					List[str],		__A							:					str						):
     # 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 >= 0X4E00 and cp <= 0X9FFF)
         or (cp >= 0X3400 and cp <= 0X4DBF)  #
         or (cp >= 0X20000 and cp <= 0X2A6DF)  #
         or (cp >= 0X2A700 and cp <= 0X2B73F)  #
         or (cp >= 0X2B740 and cp <= 0X2B81F)  #
         or (cp >= 0X2B820 and cp <= 0X2CEAF)  #
         or (cp >= 0XF900 and cp <= 0XFAFF)
         or (cp >= 0X2F800 and cp <= 0X2FA1F)  #
     ):  #
       return True

     return False






class  __UpperCAmelCase					(	lowerCamelCase__						):



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



   def 	__magic_name__   (							self							:					str,		__A							:					str,		__A							:					bool = False						):
     self.text_queue.put(__A,		timeout=self.timeout						)
     if stream_end:
       self.text_queue.put(self.stop_signal,		timeout=self.timeout						)



   def __iter__(							self							:					int						):
     return self





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








from collections.abc import Callable
from math import pi, sqrt
from random import uniform
from statistics import mean

def       a__					(		UpperCAmelCase							:      int      )  ->						Dict:

  # A local function to see if a dot lands in the circle.
  def is_in_circle(UpperCAmelCase							:      float    ,			UpperCAmelCase							:      float      ) -> bool:
    UpperCAmelCase	:							Dict						=			sqrt((x**2) + (y**2)      )
    # Our circle has a radius of 1, so a distance
    # greater than 1 would land outside the circle.
    return distance_from_centre <= 1

  # The proportion of guesses that landed in the circle
  UpperCAmelCase	:							List[str]						=			mean(
      int(is_in_circle(uniform(-1.0    ,			1.0      )    ,			uniform(-1.0    ,			1.0      )      )      )
      for _ in range(UpperCAmelCase      )      )
  # The ratio of the area for circle to square is pi/4.
  UpperCAmelCase	:							int						=			proportion * 4
  print(f'''The estimated value of pi is {pi_estimate}'''      )
  print(f'''The numpy value of pi is {pi}'''      )
  print(f'''The total error is {abs(pi - pi_estimate      )}'''      )

def       a__					(		UpperCAmelCase							:      int    ,			UpperCAmelCase							:      Callable[[float], float]    ,			UpperCAmelCase							:      float = 0.0    ,			UpperCAmelCase							:      float = 1.0    ,			)  ->						float:
  return mean(
      function_to_integrate(uniform(UpperCAmelCase    ,			UpperCAmelCase      )      ) for _ in range(UpperCAmelCase      )      ) * (max_value - min_value)

def       a__					(		UpperCAmelCase							:      int    ,			UpperCAmelCase							:      float = 0.0    ,			UpperCAmelCase							:      float = 1.0      )  ->						None:

  def identity_function(UpperCAmelCase							:      float      ) -> float:
    return x

  UpperCAmelCase	:							int						=			area_under_curve_estimator(
      UpperCAmelCase    ,			UpperCAmelCase    ,			UpperCAmelCase    ,			UpperCAmelCase      )
  UpperCAmelCase	:							Tuple						=			(max_value * max_value - min_value * min_value) / 2

  print('''******************'''      )
  print(f'''Estimating area under y=x where x varies from {min_value} to {max_value}'''      )
  print(f'''Estimated value is {estimated_value}'''      )
  print(f'''Expected value is {expected_value}'''      )
  print(f'''Total error is {abs(estimated_value - expected_value      )}'''      )
  print('''******************'''      )

def       a__					(		UpperCAmelCase							:      int      )  ->						None:

  def function_to_integrate(UpperCAmelCase							:      float      ) -> float:
    return sqrt(4.0 - x * x      )

  UpperCAmelCase	:							Optional[int]						=			area_under_curve_estimator(
      UpperCAmelCase    ,			UpperCAmelCase    ,			0.0    ,			2.0      )

  print('''******************'''      )
  print('''Estimating pi using area_under_curve_estimator'''      )
  print(f'''Estimated value is {estimated_value}'''      )
  print(f'''Expected value is {pi}'''      )
  print(f'''Total error is {abs(estimated_value - pi      )}'''      )
  print('''******************'''      )


if __name__ == "__main__":
     import doctest

     doctest.testmod()





