






import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union

import torch

from ..utils import BaseOutput


__A					=	"scheduler_config.json"



class 				_A			(     UpperCamelCase				):
    """simple docstring"""

    lowerCamelCase	:							str				= 1
    lowerCamelCase	:							int				= 2
    lowerCamelCase	:							Any				= 3
    lowerCamelCase	:							Tuple				= 4
    lowerCamelCase	:							Dict				= 5
    lowerCamelCase	:							Optional[int]				= 6
    lowerCamelCase	:							Optional[Any]				= 7
    lowerCamelCase	:							Union[str, Any]				= 8
    lowerCamelCase	:							str				= 9
    lowerCamelCase	:							Union[str, Any]				= 10
    lowerCamelCase	:							Tuple				= 11
    lowerCamelCase	:							Dict				= 12
    lowerCamelCase	:							int				= 13
    lowerCamelCase	:							List[Any]				= 14




@dataclass
class 				_A			(     UpperCamelCase				):
    """simple docstring"""

    lowerCamelCase	:							torch.FloatTensor




class 				_A			:
    """simple docstring"""

    lowerCamelCase	:							Optional[Any]				= SCHEDULER_CONFIG_NAME
    lowerCamelCase	:							Dict				= []
    lowerCamelCase	:							Any				= True



    @classmethod
    def _a							(				cls      :     Any ,     __SCREAMING_SNAKE_CASE      :     Dict[str, Any] = None ,     __SCREAMING_SNAKE_CASE      :     Optional[str] = None ,     __SCREAMING_SNAKE_CASE      :     Dict=False ,     **__SCREAMING_SNAKE_CASE      :     Tuple ,     )      ->							Any:
           __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase     				=cls.load_config(
               pretrained_model_name_or_path=__SCREAMING_SNAKE_CASE ,     subfolder=__SCREAMING_SNAKE_CASE ,     return_unused_kwargs=__SCREAMING_SNAKE_CASE ,     return_commit_hash=__SCREAMING_SNAKE_CASE ,     **__SCREAMING_SNAKE_CASE ,     )
           return cls.from_config(__SCREAMING_SNAKE_CASE ,     return_unused_kwargs=__SCREAMING_SNAKE_CASE ,     **__SCREAMING_SNAKE_CASE      )



    def _a							(				self      :     Optional[int] ,     __SCREAMING_SNAKE_CASE      :     Union[str, os.PathLike] ,     __SCREAMING_SNAKE_CASE      :     bool = False ,     **__SCREAMING_SNAKE_CASE      :     Tuple      )      ->							Tuple:
           self.save_config(save_directory=__SCREAMING_SNAKE_CASE ,     push_to_hub=__SCREAMING_SNAKE_CASE ,     **__SCREAMING_SNAKE_CASE      )



    @property
    def _a							(				self      :     Union[str, Any]      )      ->							Any:
           return self._get_compatibles()



    @classmethod
    def _a							(				cls      :     int      )      ->							Tuple:
           __UpperCAmelCase     				=list(set([cls.__name__] + cls._compatibles      )      )
           __UpperCAmelCase     				=importlib.import_module(__name__.split("""."""      )[0]      )
           __UpperCAmelCase     				=[
               getattr(__SCREAMING_SNAKE_CASE ,     __SCREAMING_SNAKE_CASE      ) for c in compatible_classes_str if hasattr(__SCREAMING_SNAKE_CASE ,     __SCREAMING_SNAKE_CASE      )
           ]
           return compatible_classes








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 					__A   ( self	)  -> Dict:







					'''simple docstring'''







					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(A	)







		def 					__A   ( self	)  -> Tuple:







					'''simple docstring'''







					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(A	) as cl:
											logger.warning(A	)
								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(A	) as cl:
								logger.warning(A	)
					self.assertEqual(cl.out		,      """"""	)

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

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







		@mockenv(TRANSFORMERS_VERBOSITY="""error"""	)
		def 					__A   ( self	)  -> Union[str, Any]:







					'''simple docstring'''







					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"""		,      A	)
					lowerCamelCase    		=  logging.log_levels[env_level_str]

					lowerCamelCase    		=  logging.get_verbosity()
					self.assertEqual(
					    A		,      A		,      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 					__A   ( self	)  -> Union[str, Any]:







					'''simple docstring'''







					transformers.utils.logging._reset_library_root_logger()
					lowerCamelCase    		=  logging.logging.getLogger()
					with CaptureLogger(A	) 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	)  -> Optional[Any]:







					'''simple docstring'''







					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(A	) as cl:
											logger.warning_advice(A	)
								self.assertEqual(cl.out		,      """"""	)

					with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=""""""	):
								# should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
								with CaptureLogger(A	) as cl:
											logger.warning_advice(A	)
								self.assertEqual(cl.out		,      msg + """\n"""	)






def 	__lowerCamelCase						(							):





			'''simple docstring'''




			disable_progress_bar()
			assert are_progress_bars_disabled()

			enable_progress_bar()
			assert not are_progress_bars_disabled()

