"""simple docstring"""




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		):



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					Optional[Any]    =   logging.get_logger()

													# the current default level is logging.WARNING
													_snake_case						:					Tuple    =   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(UpperCamelCase_    )



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					Union[str, Any]    =   logging.get_verbosity()

													_snake_case						:					Optional[Any]    =   logging.get_logger("transformers.models.bart.tokenization_bart"    )
													_snake_case						:					Optional[Any]    =   "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(UpperCamelCase_    ) as cl:
																									logger.warning(UpperCamelCase_    )
																			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(UpperCamelCase_    ) as cl:
																			logger.warning(UpperCamelCase_    )
													self.assertEqual(cl.out				,    ""    )

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

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



							@mockenv(TRANSFORMERS_VERBOSITY="error"    )
							def 	UpperCamelCase	(						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
													_snake_case						:					Union[str, Any]    =   logging.get_logger("transformers.models.bart.tokenization_bart"    )

													_snake_case						:					Optional[int]    =   os.getenv("TRANSFORMERS_VERBOSITY"				,    UpperCamelCase_    )
													_snake_case						:					List[str]    =   logging.log_levels[env_level_str]

													_snake_case						:					Dict    =   logging.get_verbosity()
													self.assertEqual(
													    UpperCamelCase_				,    UpperCamelCase_				,    f"""TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}"""				,    )

													# restore to the original level
													_snake_case						:					Tuple    =   ""
													transformers.utils.logging._reset_library_root_logger()



							@mockenv(TRANSFORMERS_VERBOSITY="super-error"    )
							def 	UpperCamelCase	(						self    ):
													# reset for the env var to take effect, next time some logger call is made
													transformers.utils.logging._reset_library_root_logger()
													_snake_case						:					str    =   logging.logging.getLogger()
													with CaptureLogger(UpperCamelCase_    ) 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    ):
													# testing `logger.warning_advice()`
													transformers.utils.logging._reset_library_root_logger()

													_snake_case						:					List[str]    =   logging.get_logger("transformers.models.bart.tokenization_bart"    )
													_snake_case						:					Any    =   "Testing 1, 2, 3"

													with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS="1"    ):
																			# nothing should be logged as env var disables this method
																			with CaptureLogger(UpperCamelCase_    ) as cl:
																									logger.warning_advice(UpperCamelCase_    )
																			self.assertEqual(cl.out				,    ""    )

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




def  snake_case						()	->	List[Any]:

						'''simple docstring'''



						disable_progress_bar()
						assert are_progress_bars_disabled()

						enable_progress_bar()
						assert not are_progress_bars_disabled()
import os

import pytest
from attr import dataclass


__SCREAMING_SNAKE_CASE						:   int         =			'us-east-1'  # defaults region



@dataclass
class        lowercase_   :
							_lowerCamelCase						=		42
							_lowerCamelCase						=		'arn:aws:iam::558105141721:role/sagemaker_execution_role'
							_lowerCamelCase						=		{
							    'task_name': 'mnli',
							    'per_device_train_batch_size': 16,
							    'per_device_eval_batch_size': 16,
							    'do_train': True,
							    'do_eval': True,
							    'do_predict': True,
							    'output_dir': '/opt/ml/model',
							    'overwrite_output_dir': True,
							    'max_steps': 500,
							    'save_steps': 5_500,
							}
							_lowerCamelCase						=		{**hyperparameters, 'max_steps': 1_000}



							@property
							def 	UpperCamelCase	(						self    ):
													if self.framework == "pytorch":
																			return [
																			    {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
																			    {"Name": "eval_accuracy", "Regex": r"eval_accuracy.*=\D*(.*?)$"},
																			    {"Name": "eval_loss", "Regex": r"eval_loss.*=\D*(.*?)$"},
																			]
													else:
																			return [
																			    {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
																			    {"Name": "eval_accuracy", "Regex": r"loss.*=\D*(.*?)]?$"},
																			    {"Name": "eval_loss", "Regex": r"sparse_categorical_accuracy.*=\D*(.*?)]?$"},
																			]



							@property
							def 	UpperCamelCase	(						self    ):
													return f"""{self.framework}-transfromers-test"""



							@property
							def 	UpperCamelCase	(						self    ):
													return f"""./tests/sagemaker/scripts/{self.framework}"""



							@property
							def 	UpperCamelCase	(						self    ):
													if self.framework == "pytorch":
																			return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:1.7.1-transformers4.6.1-gpu-py36-cu110-ubuntu18.04"
													else:
																			return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:2.4.1-transformers4.6.1-gpu-py37-cu110-ubuntu18.04"




@pytest.fixture(scope="class"						)
def  snake_case						(__lowercase						)	->	str:

						'''simple docstring'''



						_snake_case						:					List[str]    =   SageMakerTestEnvironment(framework=request.cls.framework						)