



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 SCREAMING_SNAKE_CASE__					(		unittest.TestCase   ):




    '''simple docstring'''






    def       _lowerCAmelCase (	self		):
        A			:	Dict										=       torch.nn.Linear(10,		10		)
        A			:	str										=       torch.optim.SGD(model.parameters(),		0.1		)
        A			:	str										=       Accelerator()
        A			:	Tuple										=       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()







import socket




def      __UpperCamelCase     (  )	->  Optional[int]:



    """simple docstring"""






    A			:	str										=       socket.socket(socket.AF_INET				,					socket.SOCK_STREAM		)
    A			:	Union[str, Any]										=       socket.gethostname()
    A			:	Dict										=       1_2312

    sock.connect((host, port)		)
    sock.send(B"""Hello server!"""		)

    with open("""Received_file"""				,					"""wb"""		) as out_file:
        print("""File opened"""		)
        print("""Receiving data..."""		)
        while True:
            A			:	Optional[int]										=       sock.recv(1024		)
            if not data:
                break
            out_file.write(_lowerCAmelCase		)

    print("""Successfully received the file"""		)
    sock.close()
    print("""Connection closed"""		)


if __name__ == "__main__":
     main()


