

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        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										_UpperCAmelCase       :		Union[str, Any] 		=    logging.get_logger()

										# the current default level is logging.WARNING
										_UpperCAmelCase       :		Optional[int] 		=    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(A_	)


						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										_UpperCAmelCase       :		str 		=    logging.get_verbosity()

										_UpperCAmelCase       :		Tuple 		=    logging.get_logger("transformers.models.bart.tokenization_bart"	)
										_UpperCAmelCase       :		List[str] 		=    "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(A_	) as cl:
																		logger.warning(A_	)
														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(A_	) as cl:
														logger.warning(A_	)
										self.assertEqual(cl.out						,					""	)

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

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


						@mockenv(TRANSFORMERS_VERBOSITY="error"	)
						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										transformers.utils.logging._reset_library_root_logger()
										# this action activates the env var
										_UpperCAmelCase       :		Union[str, Any] 		=    logging.get_logger("transformers.models.bart.tokenization_bart"	)

										_UpperCAmelCase       :		Tuple 		=    os.getenv("TRANSFORMERS_VERBOSITY"						,					A_	)
										_UpperCAmelCase       :		Dict 		=    logging.log_levels[env_level_str]

										_UpperCAmelCase       :		Tuple 		=    logging.get_verbosity()
										self.assertEqual(
										    A_						,					A_						,					f'TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}'						,					)

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


						@mockenv(TRANSFORMERS_VERBOSITY="super-error"	)
						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										transformers.utils.logging._reset_library_root_logger()
										_UpperCAmelCase       :		Any 		=    logging.logging.getLogger()
										with CaptureLogger(A_	) 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        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										transformers.utils.logging._reset_library_root_logger()

										_UpperCAmelCase       :		str 		=    logging.get_logger("transformers.models.bart.tokenization_bart"	)
										_UpperCAmelCase       :		Dict 		=    "Testing 1, 2, 3"

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

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







def 							__SCREAMING_SNAKE_CASE							(				)   ->       List[str]:
				disable_progress_bar()
				assert are_progress_bars_disabled()

				enable_progress_bar()
				assert not are_progress_bars_disabled()





from __future__ import annotations

import numpy as np

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  list[float] )   ->       Dict:
				return np.maximum(0  ,      lowerCAmelCase )


if __name__ == "__main__":
					print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]


