


# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase           =		{
    '''configuration_vivit''': ['''VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VivitConfig'''],
}
try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase           =		['''VivitImageProcessor''']


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase           =		[
	    '''VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''VivitModel''',
	    '''VivitPreTrainedModel''',
	    '''VivitForVideoClassification''',
	]


if TYPE_CHECKING:
	from .configuration_vivit import VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, VivitConfig

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .image_processing_vivit import VivitImageProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_vivit import (
		    VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    VivitForVideoClassification,
		    VivitModel,
		    VivitPreTrainedModel,
		)


else:
	import sys

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










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 			_A       (self					):
									__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					):
									__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					):
									# 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
									__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					):
									# reset for the env var to take effect, next time some logger call is made
									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					):
									# testing `logger.warning_advice()`
									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        _lowerCamelCase(	)						->	Optional[int]:

		'''simple docstring'''







		disable_progress_bar()
		assert are_progress_bars_disabled()

		enable_progress_bar()
		assert not are_progress_bars_disabled()






