



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  __magic_name__   (							unittest.TestCase						):






		def SCREAMING_SNAKE_CASE_			(						self      :     Dict      )				->					Union[str, 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(UpperCamelCase__      )






		def SCREAMING_SNAKE_CASE_			(						self      :     str      )				->					Dict:
								'''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(UpperCamelCase__      ) as cl:
																				logger.warning(UpperCamelCase__      )
														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(UpperCamelCase__      ) as cl:
														logger.warning(UpperCamelCase__      )
								self.assertEqual(cl.out				,		""      )

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

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






		@mockenv(TRANSFORMERS_VERBOSITY="error"      )
		def SCREAMING_SNAKE_CASE_			(						self      :     List[Any]      )				->					Union[str, Any]:
								'''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"				,		UpperCamelCase__      )
								UpperCAmelCase         =     logging.log_levels[env_level_str]

								UpperCAmelCase         =     logging.get_verbosity()
								self.assertEqual(
								    UpperCamelCase__				,		UpperCamelCase__				,		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 SCREAMING_SNAKE_CASE_			(						self      :     List[str]      )				->					int:
								'''simple docstring'''







								transformers.utils.logging._reset_library_root_logger()
								UpperCAmelCase         =     logging.logging.getLogger()
								with CaptureLogger(UpperCamelCase__      ) 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 SCREAMING_SNAKE_CASE_			(						self      :     Dict      )				->					List[str]:
								'''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(UpperCamelCase__      ) as cl:
																				logger.warning_advice(UpperCamelCase__      )
														self.assertEqual(cl.out				,		""      )

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

def    lowerCamelCase_() ->       Optional[int]:
						disable_progress_bar()
						assert are_progress_bars_disabled()

						enable_progress_bar()
						assert not are_progress_bars_disabled()








from __future__ import annotations

def    lowerCamelCase_(lowerCamelCase_    ) ->       int:
						UpperCAmelCase         =     len(lowerCamelCase_    ) // 2

						# choose the middle 3 elements
						UpperCAmelCase         =     lst[m - 1 : m + 2]

						# if middle element is peak
						if three[1] > three[0] and three[1] > three[2]:
												return three[1]

						# if increasing, recurse on right
						elif three[0] < three[2]:
												if len(lst[:m]    ) == 2:
																		m -= 1
												return peak(lst[m:]    )

						# decreasing
						else:
												if len(lst[:m]    ) == 2:
																		m += 1
												return peak(lst[:m]    )


if __name__ == "__main__":
		import doctest

		doctest.testmod()



