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 		_UpperCAmelCase (		self			:   List[str]							):
   __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			:   Optional[Any]							):
   __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			:   Union[str, Any]							):
   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			:   Tuple							):
   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			:   Union[str, Any]							):
   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		(      ):



 """simple docstring"""


 disable_progress_bar()
 assert are_progress_bars_disabled()

 enable_progress_bar()
 assert not are_progress_bars_disabled()



'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowercase        =    logging.get_logger(__name__)

__lowercase        =    {
    '''google/mobilenet_v1_1.0_224''': '''https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json''',
    '''google/mobilenet_v1_0.75_192''': '''https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json''',
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}






class 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			UpperCAmelCase_     :	List[str]						=			'''mobilenet_v1'''



			def __init__(  self			,       __lowerCAmelCase=3			,       __lowerCAmelCase=224			,       __lowerCAmelCase=1.0			,       __lowerCAmelCase=8			,       __lowerCAmelCase="relu6"			,       __lowerCAmelCase=True			,       __lowerCAmelCase=0.999			,       __lowerCAmelCase=0.02			,       __lowerCAmelCase=0.001			,       **__lowerCAmelCase			,       ):




					"""simple docstring"""


					super().__init__(**__lowerCAmelCase)

					if depth_multiplier <= 0:
							raise ValueError("""depth_multiplier must be greater than zero.""")

					lowerCAmelCase     =    num_channels
					lowerCAmelCase     =    image_size
					lowerCAmelCase     =    depth_multiplier
					lowerCAmelCase     =    min_depth
					lowerCAmelCase     =    hidden_act
					lowerCAmelCase     =    tf_padding
					lowerCAmelCase     =    classifier_dropout_prob
					lowerCAmelCase     =    initializer_range
					lowerCAmelCase     =    layer_norm_eps







class 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			UpperCAmelCase_     :	Dict						=			version.parse('''1.11'''      )



			@property
			def 				a_			(  self):




					"""simple docstring"""


					return OrderedDict([("""pixel_values""", {0: """batch"""})])



			@property
			def 				a_			(  self):




					"""simple docstring"""


					if self.task == "image-classification":
							return OrderedDict([("""logits""", {0: """batch"""})])
					else:
							return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})])







			@property
			def 				a_			(  self):




					"""simple docstring"""


					return 1E-4




