



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 	__lowerCAmelCase							(	self			):
									_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(_lowerCAmelCase			)





			def 	__lowerCAmelCase							(	self			):
									_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(_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 	__lowerCAmelCase							(	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
									_lowerCAmelCase 			=  logging.get_logger('''transformers.models.bart.tokenization_bart'''			)

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

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





			@mockenv(TRANSFORMERS_VERBOSITY='''super-error'''			)
			def 	__lowerCAmelCase							(	self			):
									# 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(_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 	__lowerCAmelCase							(	self			):
									# 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(_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 							UpperCAmelCase__		(				)->Union[str, Any]:
						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_tf_available,
    is_torch_available,
    is_vision_available,
)


UpperCAmelCase_									=							{"configuration_deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig", "DeiTOnnxConfig"]}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase_									=							["DeiTFeatureExtractor"]
    UpperCAmelCase_									=							["DeiTImageProcessor"]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase_									=							[
        "DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "DeiTForImageClassification",
        "DeiTForImageClassificationWithTeacher",
        "DeiTForMaskedImageModeling",
        "DeiTModel",
        "DeiTPreTrainedModel",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase_									=							[
        "TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "TFDeiTForImageClassification",
        "TFDeiTForImageClassificationWithTeacher",
        "TFDeiTForMaskedImageModeling",
        "TFDeiTModel",
        "TFDeiTPreTrainedModel",
    ]


if TYPE_CHECKING:
    from .configuration_deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig, DeiTOnnxConfig

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_deit import DeiTFeatureExtractor
        from .image_processing_deit import DeiTImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_deit import (
            DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DeiTForImageClassification,
            DeiTForImageClassificationWithTeacher,
            DeiTForMaskedImageModeling,
            DeiTModel,
            DeiTPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_deit import (
            TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDeiTForImageClassification,
            TFDeiTForImageClassificationWithTeacher,
            TFDeiTForMaskedImageModeling,
            TFDeiTModel,
            TFDeiTPreTrainedModel,
        )


else:
    import sys

    UpperCAmelCase_									=							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)