

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 					__lowerCAmelCase	(   unittest.TestCase				):




  def     A__	(							self   )    ->					Optional[Any]:
        '''simple docstring'''






        _lowercase      			=logging.get_logger()

        # the current default level is logging.WARNING
        _lowercase      			=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(lowerCAmelCase   )




  def     A__	(							self   )    ->					int:
        '''simple docstring'''






        _lowercase      			=logging.get_verbosity()

        _lowercase      			=logging.get_logger('transformers.models.bart.tokenization_bart'   )
        _lowercase      			='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(lowerCAmelCase   ) as cl:
                    logger.warning(lowerCAmelCase   )
              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(lowerCAmelCase   ) as cl:
              logger.warning(lowerCAmelCase   )
        self.assertEqual(cl.out				,  ''   )

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

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




  @mockenv(TRANSFORMERS_VERBOSITY='error'   )
  def     A__	(							self   )    ->					Optional[Any]:
        '''simple docstring'''






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

        _lowercase      			=os.getenv('TRANSFORMERS_VERBOSITY'				,  lowerCAmelCase   )
        _lowercase      			=logging.log_levels[env_level_str]

        _lowercase      			=logging.get_verbosity()
        self.assertEqual(
            lowerCAmelCase				,  lowerCAmelCase				,  F'''TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}'''				,  )

        # restore to the original level
        _lowercase      			=''
        transformers.utils.logging._reset_library_root_logger()




  @mockenv(TRANSFORMERS_VERBOSITY='super-error'   )
  def     A__	(							self   )    ->					Dict:
        '''simple docstring'''






        transformers.utils.logging._reset_library_root_logger()
        _lowercase      			=logging.logging.getLogger()
        with CaptureLogger(lowerCAmelCase   ) 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   )    ->					int:
        '''simple docstring'''






        transformers.utils.logging._reset_library_root_logger()

        _lowercase      			=logging.get_logger('transformers.models.bart.tokenization_bart'   )
        _lowercase      			='Testing 1, 2, 3'

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

        with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=''   ):
              # should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
              with CaptureLogger(lowerCAmelCase   ) as cl:
                    logger.warning_advice(lowerCAmelCase   )
              self.assertEqual(cl.out				,  msg + '\n'   )
def 	a (     )       -> Tuple:





      """simple docstring"""



      disable_progress_bar()
      assert are_progress_bars_disabled()

      enable_progress_bar()
      assert not are_progress_bars_disabled()





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase_   							=  {
    'configuration_timesformer': ['TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TimesformerConfig'],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_   							=  [
      'TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
      'TimesformerModel',
      'TimesformerForVideoClassification',
      'TimesformerPreTrainedModel',
  ]

if TYPE_CHECKING:
  from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_timesformer import (
        TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TimesformerForVideoClassification,
        TimesformerModel,
        TimesformerPreTrainedModel,
    )

else:
  import sys

  lowercase_   							=  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


