






"""simple docstring"""





import bsa
import requests






def 							A(    snake_case_						):
       """simple docstring"""





       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 							A(    snake_case_ = 5						):
       """simple docstring"""





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


if __name__ == "__main__":
  import json

  UpperCamelCase					=     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)
      )
  )







import sys

from transformers import AutoTokenizer


_SCREAMING_SNAKE_CASE:    Optional[int]     						=							sys.argv[1]
_SCREAMING_SNAKE_CASE:    int     						=							sys.argv[2]
_SCREAMING_SNAKE_CASE:    str     						=							int(sys.argv[3])

_SCREAMING_SNAKE_CASE:    Union[str, Any]     						=							0

_SCREAMING_SNAKE_CASE:    Any     						=							AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, '''rt''') as f_p:
			for line in f_p:
						_SCREAMING_SNAKE_CASE:    Any     						=							line.rstrip()

						if not line:
									print(line)
									_SCREAMING_SNAKE_CASE:    str     						=							0
									continue

						_SCREAMING_SNAKE_CASE:    Optional[int]     						=							line.split()[0]

						_SCREAMING_SNAKE_CASE:    Tuple     						=							len(tokenizer.tokenize(token))

						# Token contains strange control characters like \x96 or \x95
						# Just filter out the complete line
						if current_subwords_len == 0:
									continue

						if (subword_len_counter + current_subwords_len) > max_len:
									print('''''')
									print(line)
									_SCREAMING_SNAKE_CASE:    Any     						=							current_subwords_len
									continue

						subword_len_counter += current_subwords_len

						print(line)

