





'''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  UpperCAmelCase     (			unittest.TestCase   ):




      def 				lowercase__    (			self			: List[Any]  )				->      Optional[Any]:
            _lowerCAmelCase							     =							logging.get_logger()

            # the current default level is logging.WARNING
            _lowerCAmelCase							     =							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 				lowercase__    (			self			: int  )				->      str:
            _lowerCAmelCase							     =							logging.get_verbosity()

            _lowerCAmelCase							     =							logging.get_logger("""transformers.models.bart.tokenization_bart"""  )
            _lowerCAmelCase							     =							"""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 				lowercase__    (			self			: Tuple  )				->      Tuple:
            # 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
            _lowerCAmelCase							     =							logging.get_logger("""transformers.models.bart.tokenization_bart"""  )

            _lowerCAmelCase							     =							os.getenv("""TRANSFORMERS_VERBOSITY"""			,			__snake_case  )
            _lowerCAmelCase							     =							logging.log_levels[env_level_str]

            _lowerCAmelCase							     =							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
            _lowerCAmelCase							     =							""""""
            transformers.utils.logging._reset_library_root_logger()




      @mockenv(TRANSFORMERS_VERBOSITY="""super-error"""  )
      def 				lowercase__    (			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()
            _lowerCAmelCase							     =							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 				lowercase__    (			self			: Dict  )				->      Any:
            # testing `logger.warning_advice()`
            transformers.utils.logging._reset_library_root_logger()

            _lowerCAmelCase							     =							logging.get_logger("""transformers.models.bart.tokenization_bart"""  )
            _lowerCAmelCase							     =							"""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    UpperCamelCase__      (		):





      """simple docstring"""


      disable_progress_bar()
      assert are_progress_bars_disabled()

      enable_progress_bar()
      assert not are_progress_bars_disabled()












from __future__ import annotations

lowerCamelCase__ :   Optional[int]					=							[-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
lowerCamelCase__ :   List[Any]					=							[-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	list[float]							)					-> list[float]:
      SCREAMING_SNAKE_CASE_							=			[]
      SCREAMING_SNAKE_CASE_							=			len(__UpperCAmelCase							)

      for i in range(__UpperCAmelCase							):
            SCREAMING_SNAKE_CASE_							=			-1
            for j in range(i + 1			,			__UpperCAmelCase							):
                  if arr[i] < arr[j]:
                        SCREAMING_SNAKE_CASE_							=			arr[j]
                        break
            result.append(__UpperCAmelCase							)
      return result

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	list[float]							)					-> list[float]:
      SCREAMING_SNAKE_CASE_							=			[]
      for i, outer in enumerate(__UpperCAmelCase							):
            SCREAMING_SNAKE_CASE_							=			-1
            for inner in arr[i + 1 :]:
                  if outer < inner:
                        SCREAMING_SNAKE_CASE_							=			inner
                        break
            result.append(__UpperCAmelCase							)
      return result

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	list[float]							)					-> list[float]:
      SCREAMING_SNAKE_CASE_							=			len(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_							=			[]
      SCREAMING_SNAKE_CASE_							=			[-1] * arr_size

      for index in reversed(range(__UpperCAmelCase							)							):
            if stack:
                  while stack[-1] <= arr[index]:
                        stack.pop()
                        if not stack:
                              break
            if stack:
                  SCREAMING_SNAKE_CASE_							=			stack[-1]
            stack.append(arr[index]							)
      return result


if __name__ == "__main__":
   from doctest import testmod
   from timeit import timeit

   testmod()
   print(next_greatest_element_slow(arr))
   print(next_greatest_element_fast(arr))
   print(next_greatest_element(arr))

   lowerCamelCase__ :   List[str]					=							(
       'from __main__ import arr, next_greatest_element_slow, '
       'next_greatest_element_fast, next_greatest_element'
   )
   print(
       'next_greatest_element_slow():',
       timeit('next_greatest_element_slow(arr)', setup=setup),
   )
   print(
       'next_greatest_element_fast():',
       timeit('next_greatest_element_fast(arr)', setup=setup),
   )
   print(
       '     next_greatest_element():',
       timeit('next_greatest_element(arr)', setup=setup),
   )