




'''simple docstring'''






from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


A_ 			=		logging.get_logger(__name__)






class 					lowercase_			(	lowerCAmelCase_       ):
     A_       							= ["input_ids", "attention_mask"]





     def __init__(    self    :				Dict    ,       __lowerCamelCase    :				Tuple="[PAD]"    ,       __lowerCamelCase    :				List[str]="[BOS]"    ,       __lowerCamelCase    :				str="[EOS]"    ,       __lowerCamelCase    :				Union[str, Any]="[MASK]"    ,       __lowerCamelCase    :				List[Any]="[CLS]"    ,       __lowerCamelCase    :				str="[SEP]"    ,       __lowerCamelCase    :				Optional[int]=2048    ,       **__lowerCamelCase    :				List[str]    ,       ):
           snake_case__					:      str  			=						AddedToken(__lowerCamelCase    ,       lstrip=__lowerCamelCase    ,       rstrip=__lowerCamelCase ) if isinstance(__lowerCamelCase    ,       __lowerCamelCase ) else pad_token
           snake_case__					:      Tuple  			=						AddedToken(__lowerCamelCase    ,       lstrip=__lowerCamelCase    ,       rstrip=__lowerCamelCase ) if isinstance(__lowerCamelCase    ,       __lowerCamelCase ) else bos_token
           snake_case__					:      Optional[Any]  			=						AddedToken(__lowerCamelCase    ,       lstrip=__lowerCamelCase    ,       rstrip=__lowerCamelCase ) if isinstance(__lowerCamelCase    ,       __lowerCamelCase ) else eos_token
           snake_case__					:      Tuple  			=						AddedToken(__lowerCamelCase    ,       lstrip=__lowerCamelCase    ,       rstrip=__lowerCamelCase ) if isinstance(__lowerCamelCase    ,       __lowerCamelCase ) else mask_token
           snake_case__					:      str  			=						AddedToken(__lowerCamelCase    ,       lstrip=__lowerCamelCase    ,       rstrip=__lowerCamelCase ) if isinstance(__lowerCamelCase    ,       __lowerCamelCase ) else cls_token
           snake_case__					:      Tuple  			=						AddedToken(__lowerCamelCase    ,       lstrip=__lowerCamelCase    ,       rstrip=__lowerCamelCase ) if isinstance(__lowerCamelCase    ,       __lowerCamelCase ) else sep_token

           super().__init__(
               pad_token=__lowerCamelCase    ,       bos_token=__lowerCamelCase    ,       eos_token=__lowerCamelCase    ,       mask_token=__lowerCamelCase    ,       cls_token=__lowerCamelCase    ,       sep_token=__lowerCamelCase    ,       model_max_length=__lowerCamelCase    ,       **__lowerCamelCase    ,       )

           snake_case__					:      int  			=						2**8  # utf is 8 bits

           # define special tokens dict
           snake_case__					:      Dict[str, int]  			=						{
               self.pad_token: 0,
               self.bos_token: 1,
               self.eos_token: 2,
               self.mask_token: 3,
               self.cls_token: 4,
               self.sep_token: 5,
           }
           snake_case__					:      Any  			=						len(self.special_tokens_encoder )
           snake_case__					:      Dict[int, str]  			=						{v: k for k, v in self.special_tokens_encoder.items()}





     def  _lowerCAmelCase			(    self    :				List[str] ):
           snake_case__					:      List[Any]  			=						self.special_tokens_encoder.copy()
           vocab.update(self.added_tokens_encoder )
           for i in range(self._utf_vocab_size ):
                 snake_case__					:      Union[str, Any]  			=						chr(__lowerCamelCase )
                 snake_case__					:      Optional[int]  			=						i + len(self.special_tokens_encoder )
           return vocab





     @property
     def  _lowerCAmelCase			(    self    :				str ):
           return self._utf_vocab_size + self._num_special_tokens





     def  _lowerCAmelCase			(    self    :				Optional[int]    ,       __lowerCamelCase    :				List[int]    ,       __lowerCamelCase    :				Optional[List[int]] = None    ,       __lowerCamelCase    :				bool = False ):
           if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=__lowerCamelCase    ,       token_ids_a=__lowerCamelCase    ,       already_has_special_tokens=__lowerCamelCase )

           # normal case: some special tokens
           if token_ids_a is None:
                 return [1] + [0] * len(__lowerCamelCase ) + [1]
           return [1] + ([0] * len(__lowerCamelCase )) + [1] + ([0] * len(__lowerCamelCase )) + [1]





     def  _lowerCAmelCase			(    self    :				List[str]    ,       __lowerCamelCase    :				List[int]    ,       __lowerCamelCase    :				Optional[List[int]] = None ):
           if token_ids_a is None:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
           else:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]





     def  _lowerCAmelCase			(    self    :				Tuple    ,       __lowerCamelCase    :				str ):
           snake_case__					:      List[Any]  			=						[chr(__lowerCamelCase ) for i in text.encode('utf-8' )]
           return tokens





     def  _lowerCAmelCase			(    self    :				Optional[Any]    ,       __lowerCamelCase    :				Any ):
           if token in self.special_tokens_encoder:
                 snake_case__					:      str  			=						self.special_tokens_encoder[token]
           elif token in self.added_tokens_encoder:
                 snake_case__					:      List[Any]  			=						self.added_tokens_encoder[token]
           elif len(__lowerCamelCase ) != 1:
                 snake_case__					:      Tuple  			=						self.unk_token_id
           else:
                 snake_case__					:      Any  			=						ord(__lowerCamelCase ) + self._num_special_tokens
           return token_id





     def  _lowerCAmelCase			(    self    :				Dict    ,       __lowerCamelCase    :				int ):
           if index in self.special_tokens_decoder:
                 snake_case__					:      Any  			=						self.special_tokens_decoder[index]
           elif index in self.added_tokens_decoder:
                 snake_case__					:      Any  			=						self.added_tokens_decoder[index]
           else:
                 snake_case__					:      str  			=						chr(index - self._num_special_tokens )
           return token





     def  _lowerCAmelCase			(    self    :				Optional[int]    ,       __lowerCamelCase    :				List[str] ):
           snake_case__					:      str  			=						b''
           for token in tokens:
                 if token in self.special_tokens_decoder:
                       snake_case__					:      Optional[Any]  			=						self.special_tokens_decoder[token].encode('utf-8' )
                 elif token in self.added_tokens_decoder:
                       snake_case__					:      Union[str, Any]  			=						self.special_tokens_decoder[token].encode('utf-8' )
                 elif token in self.special_tokens_encoder:
                       snake_case__					:      List[Any]  			=						token.encode('utf-8' )
                 elif token in self.added_tokens_encoder:
                       snake_case__					:      Union[str, Any]  			=						token.encode('utf-8' )
                 else:
                       snake_case__					:      Dict  			=						bytes([ord(__lowerCamelCase )] )
                 bstring += tok_string
           snake_case__					:      Union[str, Any]  			=						bstring.decode('utf-8'    ,       errors='replace' )
           return string





     def  _lowerCAmelCase			(    self    :				Union[str, Any]    ,       __lowerCamelCase    :				str    ,       __lowerCamelCase    :				Optional[str] = None ):
           return ()






'''simple docstring'''






import bsa
import requests






def 		UpperCamelCase__			(		__SCREAMING_SNAKE_CASE		)						->      dict[str, str]:
      return {
          "name": soup.ha.a.text,
          "genre": soup.find('span'							,			class_='genre'		).text.strip(),
          "rating": soup.strong.text,
          "page_link": f"https://www.imdb.com{soup.a.get('href'		)}",
      }






def 		UpperCamelCase__			(		__SCREAMING_SNAKE_CASE = 5		)						->      tuple:
      snake_case__					:      Tuple  			=						int(float(__SCREAMING_SNAKE_CASE		)		)
      if num_movies < 1:
            return ()
      snake_case__					:      Any  			=						(
          'https://www.imdb.com/search/title?title_type='
          f"feature&sort=num_votes,desc&count={num_movies}"
      )
      snake_case__					:      Union[str, Any]  			=						bsa.BeautifulSoup(requests.get(__SCREAMING_SNAKE_CASE		).content							,			'html.parser'		)
      return tuple(
          get_movie_data_from_soup(__SCREAMING_SNAKE_CASE		)
          for movie in source.find_all('div'							,			class_='lister-item mode-advanced'		)		)


if __name__ == "__main__":
      import json

      A_ 			=		int(input("How many movies would you like to see? "))
      print(
          ", ".join(
              json.dumps(movie, indent=4) for movie in get_imdb_top_movies(num_movies)
          )
      )
