



"""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  _UpperCAmelCase (    unittest.TestCase):

 def 		_snake_case      (  self	: Union[str, Any]       ):
     snake_case_				:  int       =			torch.nn.Linear(10						,  10       )
     snake_case_				:  Union[str, Any]       =			torch.optim.SGD(model.parameters()						,  0.1       )
     snake_case_				:  str       =			Accelerator()
     snake_case_				:  Union[str, Any]       =			accelerator.prepare(lowercase_       )
     try:
         pickle.loads(pickle.dumps(lowercase_       )       )
     except Exception as e:
         self.fail(f"Accelerated optimizer pickling failed with {e}"       )
     AcceleratorState._reset_state()










"""simple docstring"""

from statistics import mean, stdev




def __lowercase    (							_a	,    _a = 3					):
    snake_case_				:  Optional[int]       =			min(_a					)
    snake_case_				:  str       =			max(_a					)
    # normalize data
    return [round((x - x_min) / (x_max - x_min)	,    _a					) for x in data]






def __lowercase    (							_a	,    _a = 3					):
    snake_case_				:  Any       =			mean(_a					)
    snake_case_				:  str       =			stdev(_a					)
    # standardize data
    return [round((x - mu) / (sigma)	,    _a					) for x in data]





