





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 		SCREAMING_SNAKE_CASE__				(       unittest.TestCase  ):


      def    a (self       :      Dict      ):





         """simple docstring"""



         __snake_case							       =   logging.get_logger()

         # the current default level is logging.WARNING
         __snake_case							       =   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    a (self       :      Dict      ):





         """simple docstring"""



         __snake_case							       =   logging.get_verbosity()

         __snake_case							       =   logging.get_logger('''transformers.models.bart.tokenization_bart'''      )
         __snake_case							       =   '''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    a (self       :      Dict      ):





         """simple docstring"""



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

         __snake_case							       =   os.getenv('''TRANSFORMERS_VERBOSITY'''				,			a__      )
         __snake_case							       =   logging.log_levels[env_level_str]

         __snake_case							       =   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
         __snake_case							       =   ''''''
         transformers.utils.logging._reset_library_root_logger()


      @mockenv(TRANSFORMERS_VERBOSITY='''super-error'''      )
      def    a (self       :      List[Any]      ):





         """simple docstring"""



         transformers.utils.logging._reset_library_root_logger()
         __snake_case							       =   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    a (self       :      Any      ):





         """simple docstring"""



         transformers.utils.logging._reset_library_root_logger()

         __snake_case							       =   logging.get_logger('''transformers.models.bart.tokenization_bart'''      )
         __snake_case							       =   '''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 lowerCamelCase__    (							)      ->				str:
   disable_progress_bar()
   assert are_progress_bars_disabled()

   enable_progress_bar()
   assert not are_progress_bars_disabled()








def      _A       (		SCREAMING_SNAKE_CASE     :   list						):





  """simple docstring"""



  if not isinstance(SCREAMING_SNAKE_CASE       ,       SCREAMING_SNAKE_CASE						):
    raise ValueError("Input series is not valid, valid series - [2, 4, 6]"						)
  if len(SCREAMING_SNAKE_CASE						) == 0:
    raise ValueError("Input list must be a non empty list"						)
  if len(SCREAMING_SNAKE_CASE						) == 1:
    return True
  a__	:					Union[str, Any]										=series[1] - series[0]
  for index in range(len(SCREAMING_SNAKE_CASE						) - 1						):
    if series[index + 1] - series[index] != common_diff:
      return False
  return True
def      _A       (		SCREAMING_SNAKE_CASE     :   list						):





  """simple docstring"""



  if not isinstance(SCREAMING_SNAKE_CASE       ,       SCREAMING_SNAKE_CASE						):
    raise ValueError("Input series is not valid, valid series - [2, 4, 6]"						)
  if len(SCREAMING_SNAKE_CASE						) == 0:
    raise ValueError("Input list must be a non empty list"						)
  a__	:					Any										=0
  for val in series:
    answer += val
  return answer / len(SCREAMING_SNAKE_CASE						)


if __name__ == "__main__":
     import doctest

     doctest.testmod()






