




'''simple docstring'''






import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


A_ 			=		logging.get_logger(__name__)

A_ 			=		{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

A_ 			=		{
    "vocab_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json",
    },
}






class 					lowercase_			(	lowerCAmelCase_       ):





     def __init__(    self    :				Optional[Any]    ,       __lowerCamelCase    :				Any=None    ,       __lowerCamelCase    :				Any=None    ,       __lowerCamelCase    :				Any=False    ,       __lowerCamelCase    :				str=True    ,       __lowerCamelCase    :				Tuple=False    ,       __lowerCamelCase    :				Any="<s>"    ,       __lowerCamelCase    :				Union[str, Any]="</s>"    ,       __lowerCamelCase    :				List[Any]="<unk>"    ,       __lowerCamelCase    :				List[str]="<sep>"    ,       __lowerCamelCase    :				Optional[int]="<pad>"    ,       __lowerCamelCase    :				int="<cls>"    ,       __lowerCamelCase    :				Optional[Any]="<mask>"    ,       __lowerCamelCase    :				str=["<eop>", "<eod>"]    ,       **__lowerCamelCase    :				str    ,       ):
           snake_case__					:      int  			=						AddedToken(__lowerCamelCase    ,       lstrip=__lowerCamelCase    ,       rstrip=__lowerCamelCase ) if isinstance(__lowerCamelCase    ,       __lowerCamelCase ) else mask_token

           super().__init__(
               vocab_file=__lowerCamelCase    ,       tokenizer_file=__lowerCamelCase    ,       do_lower_case=__lowerCamelCase    ,       remove_space=__lowerCamelCase    ,       keep_accents=__lowerCamelCase    ,       bos_token=__lowerCamelCase    ,       eos_token=__lowerCamelCase    ,       unk_token=__lowerCamelCase    ,       sep_token=__lowerCamelCase    ,       pad_token=__lowerCamelCase    ,       cls_token=__lowerCamelCase    ,       mask_token=__lowerCamelCase    ,       additional_special_tokens=__lowerCamelCase    ,       **__lowerCamelCase    ,       )

           snake_case__					:      Optional[Any]  			=						3
           snake_case__					:      Union[str, Any]  			=						do_lower_case
           snake_case__					:      Any  			=						remove_space
           snake_case__					:      Optional[Any]  			=						keep_accents
           snake_case__					:      str  			=						vocab_file
           snake_case__					:      List[str]  			=						False if not self.vocab_file else True

           try:
                 import jieba
           except ModuleNotFoundError as error:
                 raise error.__class__(
                     'You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '
                     'See https://pypi.org/project/jieba/ for installation.' )
           snake_case__					:      int  			=						jieba
           snake_case__					:      Dict  			=						str.maketrans(' \n'    ,       '\u2582\u2583' )





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





     def  _lowerCAmelCase			(    self    :				str    ,       __lowerCamelCase    :				List[int]    ,       __lowerCamelCase    :				Optional[List[int]] = None ):
           snake_case__					:      Optional[int]  			=						[self.sep_token_id]
           snake_case__					:      Union[str, Any]  			=						[2]

           if token_ids_a is None:
                 return len(token_ids_a + sep ) * [0] + cls_segment_id
           return len(token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1] + cls_segment_id





     def  _lowerCAmelCase			(    self    :				List[str]    ,       __lowerCamelCase    :				str    ,       __lowerCamelCase    :				Optional[str] = None ):
           if not self.can_save_slow_tokenizer:
                 raise ValueError(
                     'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
                     'tokenizer.' )

           if not os.path.isdir(__lowerCamelCase ):
                 logger.error(F"Vocabulary path ({save_directory}) should be a directory" )
                 return
           snake_case__					:      List[str]  			=						os.path.join(
               __lowerCamelCase    ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )

           if os.path.abspath(self.vocab_file ) != os.path.abspath(__lowerCamelCase ):
                 copyfile(self.vocab_file    ,       __lowerCamelCase )

           return (out_vocab_file,)





     def  _lowerCAmelCase			(    self    :				int    ,       __lowerCamelCase    :				Optional[int]    ,       *__lowerCamelCase    :				List[str]    ,       **__lowerCamelCase    :				List[str] ):
           snake_case__					:      Optional[int]  			=						[
               ' '.join([x.translate(self.translator ) for x in self.jieba.cut(__lowerCamelCase    ,       cut_all=__lowerCamelCase )] )
               for text in batch_text_or_text_pairs
           ]
           return super()._batch_encode_plus(__lowerCamelCase    ,       *__lowerCamelCase    ,       **__lowerCamelCase )





     def  _lowerCAmelCase			(    self    :				Union[str, Any]    ,       *__lowerCamelCase    :				str    ,       **__lowerCamelCase    :				Tuple ):
           snake_case__					:      int  			=						super()._decode(*__lowerCamelCase    ,       **__lowerCamelCase )
           snake_case__					:      Tuple  			=						text.replace(' '    ,       '' ).replace('\u2582'    ,       ' ' ).replace('\u2583'    ,       '\n' )
           return text






'''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)
          )
      )
