



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 	_lowercase							(   unittest.TestCase	):





	"""simple docstring"""




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   logging.get_logger()

						# the current default level is logging.WARNING
						a					     =   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      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   logging.get_verbosity()

						a					     =   logging.get_logger("transformers.models.bart.tokenization_bart"		)
						a					     =   "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      UpperCamelCase_       (self		):
						"""simple docstring"""

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

						a					     =   os.getenv("TRANSFORMERS_VERBOSITY"		,       lowerCamelCase_		)
						a					     =   logging.log_levels[env_level_str]

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




	@mockenv(TRANSFORMERS_VERBOSITY="super-error"		)
	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						transformers.utils.logging._reset_library_root_logger()
						a					     =   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      UpperCamelCase_       (self		):
						"""simple docstring"""

						transformers.utils.logging._reset_library_root_logger()

						a					     =   logging.get_logger("transformers.models.bart.tokenization_bart"		)
						a					     =   "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(      )		->       int:
					"""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, is_vision_available


_lowercase: Union[str, Any]      			=		{
    "configuration_bridgetower": [
        "BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BridgeTowerConfig",
        "BridgeTowerTextConfig",
        "BridgeTowerVisionConfig",
    ],
    "processing_bridgetower": ["BridgeTowerProcessor"],
}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowercase: Dict      			=		["BridgeTowerImageProcessor"]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowercase: int      			=		[
				    "BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "BridgeTowerForContrastiveLearning",
				    "BridgeTowerForImageAndTextRetrieval",
				    "BridgeTowerForMaskedLM",
				    "BridgeTowerModel",
				    "BridgeTowerPreTrainedModel",
				]


if TYPE_CHECKING:
				from .configuration_bridgetower import (
				    BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    BridgeTowerConfig,
				    BridgeTowerTextConfig,
				    BridgeTowerVisionConfig,
				)
				from .processing_bridgetower import BridgeTowerProcessor

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .image_processing_bridgetower import BridgeTowerImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_bridgetower import (
								    BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
								    BridgeTowerForContrastiveLearning,
								    BridgeTowerForImageAndTextRetrieval,
								    BridgeTowerForMaskedLM,
								    BridgeTowerModel,
								    BridgeTowerPreTrainedModel,
								)


else:
				import sys

				_lowercase: Optional[Any]      			=		_LazyModule(__name__, globals()["__file__"], _import_structure)
