


"""simple docstring"""







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 				UpperCamelCase_			(				UpperCamelCase):

	"""simple docstring"""





	snake_case__       :						str					      =    ComputeEnvironment.AMAZON_SAGEMAKER
	snake_case__       :						str					      =    True
	snake_case__       :						int					      =    "ml.p3.2xlarge"
	snake_case__       :						Any					      =    "accelerate_sagemaker_execution_role"
	snake_case__       :						Optional[int]					      =    "hf-sm"
	snake_case__       :						Any					      =    "us-east-1"
	snake_case__       :						Optional[int]					      =    1
	snake_case__       :						Tuple					      =    "accelerate-sagemaker-1"
	snake_case__       :						List[str]					      =    "1.6"
	snake_case__       :						Optional[Any]					      =    "4.4"
	snake_case__       :						str					      =    "train.py"
	snake_case__       :						List[Any]					      =    [
	    "--model_name_or_path",
	    "bert",
	    "--do_train",
	    "False",
	    "--epochs",
	    "3",
	    "--learning_rate",
	    "5e-5",
	    "--max_steps",
	    "50.5",
	]
	snake_case__       :						str					      =    [
	    "--model_name_or_path",
	    "bert",
	    "--do_train",
	    "--do_test",
	    "False",
	    "--do_predict",
	    "--epochs",
	    "3",
	    "--learning_rate",
	    "5e-5",
	    "--max_steps",
	    "50.5",
	]




class 				UpperCamelCase_			(				unittest.TestCase):

	"""simple docstring"""





	def 						UpperCAmelCase_   (				self    :       Union[str, Any]     ) ->			List[str]:
						# If no defaults are changed, `to_kwargs` returns an empty dict.
						__SCREAMING_SNAKE_CASE		     =       _convert_nargs_to_dict(MockLaunchConfig.success_training_script_args     )
						assert isinstance(converted_args["model_name_or_path"]    ,    UpperCAmelCase__     )
						assert isinstance(converted_args["do_train"]    ,    UpperCAmelCase__     )
						assert isinstance(converted_args["epochs"]    ,    UpperCAmelCase__     )
						assert isinstance(converted_args["learning_rate"]    ,    UpperCAmelCase__     )
						assert isinstance(converted_args["max_steps"]    ,    UpperCAmelCase__     )

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




"""simple docstring"""







from __future__ import annotations




def      UpperCAmelCase__ (lowerCAmelCase_     ):




					'''simple docstring'''


					if len(lowerCAmelCase_     ) < 2:
										raise ValueError("Monogons and Digons are not polygons in the Euclidean space"     )
					if any(i <= 0 for i in nums     ):
										raise ValueError("All values must be greater than 0"     )
					__SCREAMING_SNAKE_CASE		     =       nums.copy()
					copy_nums.sort()
					return copy_nums[-1] < sum(copy_nums[:-1]     )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
