




from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
  from ..models.auto import AutoTokenizer


class     UpperCamelCase_   :

    '''simple docstring'''






    def 	SCREAMING_SNAKE_CASE							(      self				:     Tuple ,			UpperCAmelCase__				:     Optional[Any])						->List[Any]:





           '''simple docstring'''

           raise NotImplementedError()





    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[int])						->Optional[int]:





           '''simple docstring'''

           raise NotImplementedError()


class     UpperCamelCase_   (			UpperCAmelCase__					):

    '''simple docstring'''






    def __init__(      self				:     Tuple ,			UpperCAmelCase__				:     "AutoTokenizer" ,			UpperCAmelCase__				:     bool = False ,			**UpperCAmelCase__				:     str)						->int:





           '''simple docstring'''

           A__							=   tokenizer
           A__							=   skip_prompt
           A__							=   decode_kwargs

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


    def 	SCREAMING_SNAKE_CASE							(      self				:     int ,			UpperCAmelCase__				:     Any)						->Optional[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:
                  A__							=   value[0]

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

           # Add the new token to the cache and decodes the entire thing.
           self.token_cache.extend(value.tolist())
           A__							=   self.tokenizer.decode(self.token_cache ,			**self.decode_kwargs)

           # After the symbol for a new line, we flush the cache.
           if text.endswith('''\n'''):
                  A__							=   text[self.print_len :]
                  A__							=   []
                  A__							=   0
           # If the last token is a CJK character, we print the characters.
           elif len(UpperCAmelCase__) > 0 and self._is_chinese_char(ord(text[-1])):
                  A__							=   text[self.print_len :]
                  self.print_len += len(UpperCAmelCase__)
           # 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:
                  A__							=   text[self.print_len : text.rfind(''' ''') + 1]
                  self.print_len += len(UpperCAmelCase__)

           self.on_finalized_text(UpperCAmelCase__)


    def 	SCREAMING_SNAKE_CASE							(      self				:     Union[str, Any])						->Tuple:





           '''simple docstring'''

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

           A__							=   True
           self.on_finalized_text(UpperCAmelCase__ ,			stream_end=UpperCAmelCase__)


    def 	SCREAMING_SNAKE_CASE							(      self				:     List[str] ,			UpperCAmelCase__				:     str ,			UpperCAmelCase__				:     bool = False)						->Dict:





           '''simple docstring'''

           print(UpperCAmelCase__ ,			flush=UpperCAmelCase__ ,			end='''''' if not stream_end else None)





    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[Any] ,			UpperCAmelCase__				:     List[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__					):

    '''simple docstring'''






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





           '''simple docstring'''

           super().__init__(UpperCAmelCase__ ,			UpperCAmelCase__ ,			**UpperCAmelCase__)
           A__							=   Queue()
           A__							=   None
           A__							=   timeout


    def 	SCREAMING_SNAKE_CASE							(      self				:     List[Any] ,			UpperCAmelCase__				:     str ,			UpperCAmelCase__				:     bool = False)						->int:





           '''simple docstring'''

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


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





           '''simple docstring'''

           return self





    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[int])						->Dict:





           '''simple docstring'''

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










from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup







def SCREAMING_SNAKE_CASE    (	lowercase_ = ""						)       ->	dict[str, float]:



       """simple docstring"""

       A__							=   url or '''https://www.imdb.com/chart/top/?ref_=nv_mv_250'''
       A__							=   BeautifulSoup(requests.get(lowercase_						).text			,    '''html.parser'''						)
       A__							=   soup.find_all('''td'''			,    attrs='''titleColumn'''						)
       A__							=   soup.find_all('''td'''			,    class_='''ratingColumn imdbRating'''						)
       return {
           title.a.text: float(rating.strong.text						)
           for title, rating in zip(lowercase_			,    lowercase_						)
       }







def SCREAMING_SNAKE_CASE    (	lowercase_ = "IMDb_Top_250_Movies.csv"						)       ->	None:



       """simple docstring"""

       A__							=   get_imdb_top_aaa_movies()
       with open(lowercase_			,    '''w'''			,    newline=''''''						) as out_file:
              A__							=   csv.writer(lowercase_						)
              writer.writerow(['''Movie title''', '''IMDb rating''']						)
              for title, rating in movies.items():
                     writer.writerow([title, rating]						)


if __name__ == "__main__":
  write_movies()


