
'''simple docstring'''
import argparse
import logging
import sys
from unittest.mock import patch

import run_glue_with_pabee

from transformers.testing_utils import TestCasePlus


logging.basicConfig(level=logging.DEBUG)

lowercase__		    =	logging.getLogger()




def 					_UpperCamelCase		(    )   ->				str:


		'''simple docstring'''


		snake_case   :    Dict			       =		argparse.ArgumentParser()
		parser.add_argument('''-f'''       )
		snake_case   :    Optional[int]			       =		parser.parse_args()
		return args.f






class      snake_case__    (	__SCREAMING_SNAKE_CASE ):







		"""simple docstring"""

		def 	lowerCAmelCase							(	self							:       List[Any]	)		->       str:






				"""simple docstring"""







				snake_case   :    Optional[Any]			       =		logging.StreamHandler(sys.stdout	)
				logger.addHandler(UpperCamelCase__	)

				snake_case   :    List[Any]			       =		self.get_auto_remove_tmp_dir()
				snake_case   :    Optional[Any]			       =		f'\n            run_glue_with_pabee.py\n            --model_type albert\n            --model_name_or_path albert-base-v2\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --task_name mrpc\n            --do_train\n            --do_eval\n            --per_gpu_train_batch_size=2\n            --per_gpu_eval_batch_size=1\n            --learning_rate=2e-5\n            --max_steps=50\n            --warmup_steps=2\n            --seed=42\n            --max_seq_length=128\n            '.split()

				with patch.object(UpperCamelCase__   ,     '''argv'''   ,     UpperCamelCase__	):
						snake_case   :    List[str]			       =		run_glue_with_pabee.main()
						for value in result.values():
								self.assertGreaterEqual(UpperCamelCase__   ,     0.75	)




'''simple docstring'''
import bsa
import requests




def 					_UpperCamelCase		(    SCREAMING_SNAKE_CASE__       )   ->				dict[str, str]:


		'''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       )   ->				tuple:


		'''simple docstring'''


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

						lowercase__		    =	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)
						    )
						)


