






"""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       __A		(   unittest.TestCase			):

					def   lowerCamelCase__   (			self  :      str					)			->							List[Any]:
											__magic_name__:	Dict							=       logging.get_logger()

											# the current default level is logging.WARNING
											__magic_name__:	List[Any]							=       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(__snake_case					)

					def   lowerCamelCase__   (			self  :      Any					)			->							str:
											__magic_name__:	str							=       logging.get_verbosity()

											__magic_name__:	int							=       logging.get_logger("""transformers.models.bart.tokenization_bart"""					)
											__magic_name__:	int							=       """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(__snake_case					) as cl:
																							logger.warning(__snake_case					)
																	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(__snake_case					) as cl:
																	logger.warning(__snake_case					)
											self.assertEqual(cl.out     ,		""""""					)

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

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

					@mockenv(TRANSFORMERS_VERBOSITY="""error"""					)
					def   lowerCamelCase__   (			self  :      Optional[int]					)			->							Any:
											# reset for the env var to take effect, next time some logger call is made
											transformers.utils.logging._reset_library_root_logger()
											# this action activates the env var
											__magic_name__:	str							=       logging.get_logger("""transformers.models.bart.tokenization_bart"""					)

											__magic_name__:	List[str]							=       os.getenv("""TRANSFORMERS_VERBOSITY"""     ,		__snake_case					)
											__magic_name__:	Any							=       logging.log_levels[env_level_str]

											__magic_name__:	Optional[Any]							=       logging.get_verbosity()
											self.assertEqual(
											    __snake_case     ,		__snake_case     ,		F'TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}'     ,		)

											# restore to the original level
											__magic_name__:	Optional[Any]							=       """"""
											transformers.utils.logging._reset_library_root_logger()

					@mockenv(TRANSFORMERS_VERBOSITY="""super-error"""					)
					def   lowerCamelCase__   (			self  :      str					)			->							Optional[int]:
											# reset for the env var to take effect, next time some logger call is made
											transformers.utils.logging._reset_library_root_logger()
											__magic_name__:	Tuple							=       logging.logging.getLogger()
											with CaptureLogger(__snake_case					) 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   lowerCamelCase__   (			self  :      Tuple					)			->							int:
											# testing `logger.warning_advice()`
											transformers.utils.logging._reset_library_root_logger()

											__magic_name__:	Union[str, Any]							=       logging.get_logger("""transformers.models.bart.tokenization_bart"""					)
											__magic_name__:	Any							=       """Testing 1, 2, 3"""

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

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



def   a    (     )    ->							Any:
						disable_progress_bar()
						assert are_progress_bars_disabled()

						enable_progress_bar()
						assert not are_progress_bars_disabled()











"""simple docstring"""





def   a    (     __UpperCAmelCase      :    int = 1_0_0  )    ->							int:
						__magic_name__:	str							=       0
						__magic_name__:	Any							=       0
						for i in range(1      ,   n + 1  ):
												sum_of_squares += i**2
												sum_of_ints += i
						return sum_of_ints**2 - sum_of_squares


if __name__ == "__main__":
							print(f'''{solution() = }''')



