






'''simple docstring'''




__lowerCamelCase   :					dict[str, float]   							=					{
    "km/h": 1.0,
    "m/s": 3.6,
    "mph": 1.609_344,
    "knot": 1.852,
}

__lowerCamelCase   :					dict[str, float]   							=					{
    "km/h": 1.0,
    "m/s": 0.277_777_778,
    "mph": 0.621_371_192,
    "knot": 0.539_956_803,
}

def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__     ,__magic_name__						)->    float:



			"""simple docstring"""



			if unit_to not in speed_chart or unit_from not in speed_chart_inverse:
						snake_case_				:					str   =       (
						    F'''Incorrect \'from_type\' or \'to_type\' value: {unit_from!r}, {unit_to!r}\n'''
						    F'''Valid values are: {', '.join(__magic_name__						)}'''
						)
						raise ValueError(__magic_name__						)
			return round(speed * speed_chart[unit_from] * speed_chart_inverse[unit_to]     ,3						)


if __name__ == "__main__":
		import doctest

		doctest.testmod()












'''simple docstring'''




import pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu







@require_cpu
class    A_	(unittest.TestCase							):
							"""simple docstring"""




							def 							_A	(		self			:str				)				->  Union[str, Any]:


										'''simple docstring'''




										snake_case_				:					Union[str, Any]   =       torch.nn.Linear(10       ,							10				)
										snake_case_				:					Dict   =       torch.optim.SGD(model.parameters()       ,							0.1				)
										snake_case_				:					Tuple   =       Accelerator()
										snake_case_				:					Optional[Any]   =       accelerator.prepare(lowerCAmelCase__				)
										try:
													pickle.loads(pickle.dumps(lowerCAmelCase__				)				)
										except Exception as e:
													self.fail(F'''Accelerated optimizer pickling failed with {e}'''				)
										AcceleratorState._reset_state()




