



import sys

from transformers import AutoTokenizer


lowerCAmelCase					:				Tuple   	=sys.argv[1]
lowerCAmelCase					:				int   	=sys.argv[2]
lowerCAmelCase					:				int   	=int(sys.argv[3])

lowerCAmelCase					:				int   	=0

lowerCAmelCase					:				Optional[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:
				lowerCAmelCase					:				Tuple   	=line.rstrip()

				if not line:
						print(line)
						lowerCAmelCase					:				List[str]   	=0
						continue

				lowerCAmelCase					:				Dict   	=line.split()[0]

				lowerCAmelCase					:				Union[str, Any]   	=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)
						lowerCAmelCase					:				Optional[Any]   	=current_subwords_len
						continue

				subword_len_counter += current_subwords_len

				print(line)






import bsa
import requests







def  _UpperCAmelCase  (				SCREAMING_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  _UpperCAmelCase  (				SCREAMING_SNAKE_CASE__ = 5  ):


						'''simple docstring'''




						lowerCAmelCase	:   Dict					     =					int(float(SCREAMING_SNAKE_CASE__  )  )
						if num_movies < 1:
												return ()
						lowerCAmelCase	:   List[str]					     =					(
						    """https://www.imdb.com/search/title?title_type="""
						    F"""feature&sort=num_votes,desc&count={num_movies}"""
						)
						lowerCAmelCase	:   Optional[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

		lowerCAmelCase					:				Union[str, Any]   	=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)
		    )
		)

