



"""simple docstring"""






import pytest

import datasets


# Import fixture modules as plugins
lowerCAmelCase__        =				['''tests.fixtures.files''', '''tests.fixtures.hub''', '''tests.fixtures.fsspec''']






def        snake_case_  (      A_					:		Optional[Any],				A_					:		int						):


       '''simple docstring'''





       for item in items:
              if any(marker in item.keywords for marker in ['''integration''', '''unit''']						):
                     continue
              item.add_marker(pytest.mark.unit						)






def        snake_case_  (      A_					:		Tuple						):


       '''simple docstring'''





       config.addinivalue_line('''markers''',				'''torchaudio_latest: mark test to run with torchaudio>=0.12'''						)






@pytest.fixture(autouse=A_						)
def        snake_case_  (      A_					:		List[str],				A_					:		List[Any]						):


       '''simple docstring'''





       _lowerCamelCase						:				Any    			= tmp_path_factory.getbasetemp() / '''cache'''
       _lowerCamelCase						:				Tuple    			= test_hf_cache_home / '''datasets'''
       _lowerCamelCase						:				List[str]    			= test_hf_cache_home / '''metrics'''
       _lowerCamelCase						:				Optional[int]    			= test_hf_cache_home / '''modules'''
       monkeypatch.setattr('''datasets.config.HF_DATASETS_CACHE''',				str(A_						)						)
       monkeypatch.setattr('''datasets.config.HF_METRICS_CACHE''',				str(A_						)						)
       monkeypatch.setattr('''datasets.config.HF_MODULES_CACHE''',				str(A_						)						)
       _lowerCamelCase						:				Any    			= test_hf_datasets_cache / '''downloads'''
       monkeypatch.setattr('''datasets.config.DOWNLOADED_DATASETS_PATH''',				str(A_						)						)
       _lowerCamelCase						:				Optional[Any]    			= test_hf_datasets_cache / '''downloads''' / '''extracted'''
       monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH''',				str(A_						)						)






@pytest.fixture(autouse=A_,				scope='''session'''						)
def        snake_case_  (      ):


       '''simple docstring'''





       datasets.disable_progress_bar()






@pytest.fixture(autouse=A_						)
def        snake_case_  (      A_					:		Tuple						):


       '''simple docstring'''





       monkeypatch.setattr('''datasets.config.HF_UPDATE_DOWNLOAD_COUNTS''',				A_						)







@pytest.fixture
def        snake_case_  (      A_					:		str						):


       '''simple docstring'''





       monkeypatch.setattr('''sqlalchemy.util.deprecations.SILENCE_UBER_WARNING''',				A_						)




import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict




@dataclass
class  lowerCamelCase__							(				__lowercase):




	'''simple docstring'''




	_A								=     ComputeEnvironment.AMAZON_SAGEMAKER
	_A								=     True
	_A								=     'ml.p3.2xlarge'
	_A								=     'accelerate_sagemaker_execution_role'
	_A								=     'hf-sm'
	_A								=     'us-east-1'
	_A								=     1
	_A								=     'accelerate-sagemaker-1'
	_A								=     '1.6'
	_A								=     '4.4'
	_A								=     'train.py'
	_A								=     [
	    '--model_name_or_path',
	    'bert',
	    '--do_train',
	    'False',
	    '--epochs',
	    '3',
	    '--learning_rate',
	    '5e-5',
	    '--max_steps',
	    '50.5',
	]
	_A								=     [
	    '--model_name_or_path',
	    'bert',
	    '--do_train',
	    '--do_test',
	    'False',
	    '--do_predict',
	    '--epochs',
	    '3',
	    '--learning_rate',
	    '5e-5',
	    '--max_steps',
	    '50.5',
	]




class  lowerCamelCase__							(				unittest.TestCase):




	'''simple docstring'''




	def    _lowerCamelCase				(					self		:Any						)		-> Optional[int]:
								# If no defaults are changed, `to_kwargs` returns an empty dict.
								__UpperCamelCase	:   Optional[int]			   =					_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args						)
								assert isinstance(converted_args["model_name_or_path"]     ,   a						)
								assert isinstance(converted_args["do_train"]     ,   a						)
								assert isinstance(converted_args["epochs"]     ,   a						)
								assert isinstance(converted_args["learning_rate"]     ,   a						)
								assert isinstance(converted_args["max_steps"]     ,   a						)

								with pytest.raises(a						):
															_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args						)