def detail(worker: AbstractWorker, protocol_tuple: tuple) -> "Protocol":
"""This function reconstructs a Protocol object given its attributes in the form of a tuple.
Args:
worker: the worker doing the deserialization
protocol_tuple: a tuple holding the attributes of the Protocol
Returns:
protocol: a Protocol object
"""
id, tags, description, plans_reference, workers_resolved = map(
lambda o: sy.serde._detail(worker, o), protocol_tuple
)
plans = []
for owner_id, plan_id in plans_reference:
if workers_resolved:
plan_owner = worker.get_worker(owner_id, fail_hard=True)
plan_pointer = worker.request_search(plan_id, location=plan_owner)[0]
worker.register_obj(plan_pointer)
plans.append((plan_owner, plan_pointer))
else:
try:
plan_owner = worker.get_worker(owner_id, fail_hard=True)
plan_pointer = worker.request_search(plan_id, location=plan_owner)[0]
plan = plan_pointer.get()
except WorkerNotFoundException:
plan = worker.get_obj(plan_id)
plans.append((worker.id, plan))
protocol = sy.Protocol(plans=plans, id=id, owner=worker, tags=tags, description=description)
return protocol
def detail(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(data)
"""
tensor_id, field, dtype, crypto_provider, chain, garbage_collect = tensor_tuple
crypto_provider = sy.serde.msgpack.serde._detail(
worker, crypto_provider)
tensor = AdditiveSharingTensor(
owner=worker,
id=sy.serde.msgpack.serde._detail(worker, tensor_id),
field=sy.serde.msgpack.serde._detail(worker, field),
dtype=dtype.decode("utf-8"),
crypto_provider=worker.get_worker(crypto_provider),
)
if chain is not None:
chain = sy.serde.msgpack.serde._detail(worker, chain)
tensor.child = chain
tensor.set_garbage_collect_data(garbage_collect)
return tensor
def detail(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(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 = sy.serde._detail(worker, chain)
tensor.child = chain
return tensor
def unbufferize(
worker: AbstractWorker, protobuf_tensor: "AdditiveSharingTensorPB"
) -> "AdditiveSharingTensor":
"""
This function reconstructs a AdditiveSharingTensor given its' attributes in form of a protobuf object.
Args:
worker: the worker doing the deserialization
protobuf_tensor: a protobuf object holding the attributes of the AdditiveSharingTensor
Returns:
AdditiveSharingTensor: a AdditiveSharingTensor
Examples:
shared_tensor = unprotobuf(data)
"""
tensor_id = sy.serde.protobuf.proto.get_protobuf_id(protobuf_tensor.id)
crypto_provider_id = sy.serde.protobuf.proto.get_protobuf_id(
protobuf_tensor.crypto_provider_id
)
field = protobuf_tensor.field_size
tensor = AdditiveSharingTensor(
owner=worker,
id=tensor_id,
field=field,
crypto_provider=worker.get_worker(crypto_provider_id),
)
if protobuf_tensor.location_ids is not None:
chain = {}
for pb_location_id, share in zip(protobuf_tensor.location_ids, protobuf_tensor.shares):
location_id = sy.serde.protobuf.proto.get_protobuf_id(pb_location_id)
chain[location_id] = sy.serde.protobuf.serde._unbufferize(worker, share)
tensor.child = chain
return tensor
def detail(worker: AbstractWorker, worker_tuple: tuple) -> Union[AbstractWorker, int, str]:
"""
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:
A worker id or worker instance.
"""
worker_id = sy.serde.msgpack.serde._detail(worker, worker_tuple[0])
referenced_worker = worker.get_worker(worker_id)
return referenced_worker
def detail(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(data)
"""
_detail = lambda x: sy.serde.msgpack.serde._detail(worker, x)
tensor_id, field, protocol, dtype, crypto_provider, chain, garbage_collect = tensor_tuple
crypto_provider = _detail(crypto_provider)
tensor = AdditiveSharingTensor(
owner=worker,
id=_detail(tensor_id),
field=_detail(field),
protocol=_detail(protocol),
dtype=dtype.decode("utf-8"),
crypto_provider=worker.get_worker(crypto_provider),
)
chain = _detail(chain)
tensor.child = {}
for share in chain:
if share.location is not None:
# Remote
tensor.child[share.location.id] = share
else:
# Local
tensor.child[share.owner.id] = share
tensor.set_garbage_collect_data(garbage_collect)
return tensor
