





'''simple docstring'''

import os
import unittest

from huggingface_hub.utils import are_progress_bars_disabled

import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, enable_progress_bar
class 							__lowerCAmelCase	(       unittest.TestCase					):






       """simple docstring"""





       def snake_case__		(				self  :						Dict	)       ->	List[Any]:

            '''simple docstring'''




            _UpperCamelCase							       =			logging.get_logger()

            # the current default level is logging.WARNING
            _UpperCamelCase							       =			logging.get_verbosity()

            logging.set_verbosity_error()
            self.assertEqual(logger.getEffectiveLevel()			,					logging.get_verbosity()	)

            logging.set_verbosity_warning()
            self.assertEqual(logger.getEffectiveLevel()			,					logging.get_verbosity()	)

            logging.set_verbosity_info()
            self.assertEqual(logger.getEffectiveLevel()			,					logging.get_verbosity()	)

            logging.set_verbosity_debug()
            self.assertEqual(logger.getEffectiveLevel()			,					logging.get_verbosity()	)

            # restore to the original level
            logging.set_verbosity(lowerCAmelCase__	)





       def snake_case__		(				self  :						str	)       ->	Optional[int]:

            '''simple docstring'''




            _UpperCamelCase							       =			logging.get_verbosity()

            _UpperCamelCase							       =			logging.get_logger('''transformers.models.bart.tokenization_bart'''	)
            _UpperCamelCase							       =			'''Testing 1, 2, 3'''

            # should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
            if level_origin <= logging.WARNING:
                 with CaptureLogger(lowerCAmelCase__	) as cl:
                      logger.warning(lowerCAmelCase__	)
                 self.assertEqual(cl.out			,					msg + '''\n'''	)

            # this is setting the level for all of `transformers.*` loggers
            logging.set_verbosity_error()

            # should not be able to log warnings
            with CaptureLogger(lowerCAmelCase__	) as cl:
                 logger.warning(lowerCAmelCase__	)
            self.assertEqual(cl.out			,					''''''	)

            # should be able to log warnings again
            logging.set_verbosity_warning()
            with CaptureLogger(lowerCAmelCase__	) as cl:
                 logger.warning(lowerCAmelCase__	)
            self.assertEqual(cl.out			,					msg + '''\n'''	)

            # restore to the original level
            logging.set_verbosity(lowerCAmelCase__	)





       @mockenv(TRANSFORMERS_VERBOSITY='''error'''	)
       def snake_case__		(				self  :						List[Any]	)       ->	int:

            '''simple docstring'''




            transformers.utils.logging._reset_library_root_logger()
            # this action activates the env var
            _UpperCamelCase							       =			logging.get_logger('''transformers.models.bart.tokenization_bart'''	)

            _UpperCamelCase							       =			os.getenv('''TRANSFORMERS_VERBOSITY'''			,					lowerCAmelCase__	)
            _UpperCamelCase							       =			logging.log_levels[env_level_str]

            _UpperCamelCase							       =			logging.get_verbosity()
            self.assertEqual(
                lowerCAmelCase__			,					lowerCAmelCase__			,					f"""TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}"""			,					)

            # restore to the original level
            _UpperCamelCase							       =			''''''
            transformers.utils.logging._reset_library_root_logger()





       @mockenv(TRANSFORMERS_VERBOSITY='''super-error'''	)
       def snake_case__		(				self  :						Optional[Any]	)       ->	Tuple:

            '''simple docstring'''




            transformers.utils.logging._reset_library_root_logger()
            _UpperCamelCase							       =			logging.logging.getLogger()
            with CaptureLogger(lowerCAmelCase__	) as cl:
                 # this action activates the env var
                 logging.get_logger('''transformers.models.bart.tokenization_bart'''	)
            self.assertIn('''Unknown option TRANSFORMERS_VERBOSITY=super-error'''			,					cl.out	)

            # no need to restore as nothing was changed







       def snake_case__		(				self  :						int	)       ->	List[Any]:

            '''simple docstring'''




            transformers.utils.logging._reset_library_root_logger()

            _UpperCamelCase							       =			logging.get_logger('''transformers.models.bart.tokenization_bart'''	)
            _UpperCamelCase							       =			'''Testing 1, 2, 3'''

            with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS='''1'''	):
                 # nothing should be logged as env var disables this method
                 with CaptureLogger(lowerCAmelCase__	) as cl:
                      logger.warning_advice(lowerCAmelCase__	)
                 self.assertEqual(cl.out			,					''''''	)

            with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=''''''	):
                 # should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
                 with CaptureLogger(lowerCAmelCase__	) as cl:
                      logger.warning_advice(lowerCAmelCase__	)
                 self.assertEqual(cl.out			,					msg + '''\n'''	)







def    a__							(							)						->						List[Any]:





     """simple docstring"""

     disable_progress_bar()
     assert are_progress_bars_disabled()

     enable_progress_bar()
     assert not are_progress_bars_disabled()








import requests

_lowerCamelCase    :		int		      =    """https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey="""

def        __a			(   __lowerCAmelCase   )     ->     None:
					# fetching a list of articles in json format
					SCREAMING_SNAKE_CASE							:     List[str]						=				requests.get(_NEWS_API + bbc_news_api_key   ).json()
					# each article in the list is a dict
					for i, article in enumerate(bbc_news_page['articles']      ,	1   ):
										print(F'''{i}.) {article['title']}'''   )


if __name__ == "__main__":
			fetch_bbc_news(bbc_news_api_key="""<Your BBC News API key goes here>""")