def _detail_additive_shared_tensor(
worker: AbstractWorker, tensor_tuple: tuple) -> AdditiveSharingTensor:
"""
This function reconstructs a AdditiveSharingTensor given it's attributes in form of a tuple.
Args:
worker: the worker doing the deserialization
tensor_tuple: a tuple holding the attributes of the AdditiveSharingTensor
Returns:
AdditiveSharingTensor: a AdditiveSharingTensor
Examples:
shared_tensor = _detail_additive_shared_tensor(data)
"""
tensor_id, field, crypto_provider, chain = tensor_tuple
tensor = AdditiveSharingTensor(
owner=worker,
id=tensor_id,
field=field,
crypto_provider=worker.get_worker(crypto_provider))
if chain is not None:
chain = _detail(worker, chain)
tensor.child = chain
return tensor
def _detail_worker(worker: AbstractWorker, worker_tuple: tuple) -> PointerTensor:
"""
This function reconstructs a PlanPointer given it's attributes in form of a tuple.
Args:
worker: the worker doing the deserialization
plan_pointer_tuple: a tuple holding the attributes of the PlanPointer
Returns:
PointerTensor: a PointerTensor
Examples:
ptr = _detail_pointer_tensor(data)
"""
worker_id = worker_tuple[0]
referenced_worker = worker.get_worker(worker_id)
return referenced_worker