Files
concrete/frontends/concrete-python/tests/compilation/test_circuit.py
2024-10-07 08:45:33 +02:00

863 lines
26 KiB
Python

"""
Tests of `Circuit` class.
"""
import tempfile
from pathlib import Path
import numpy as np
import pytest
from concrete.compiler import CompilationContext
from mlir.ir import Module as MlirModule
from concrete import fhe
from concrete.fhe import Client, ClientSpecs, EvaluationKeys, LookupTable, Server, Value
def test_circuit_statistics(helpers):
"""
Test circuit statistics has statistics from both module and func.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y):
return x + y
inputset = [(np.random.randint(0, 2**4), np.random.randint(0, 2**5)) for _ in range(100)]
circuit = f.compile(inputset, configuration.fork(p_error=6e-5))
stat = circuit.statistics
assert "p_error" in stat # from module
assert "size_of_inputs" in stat # from circuit
def test_circuit_str(helpers):
"""
Test `__str__` method of `Circuit` class.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y):
return x + y
inputset = [(np.random.randint(0, 2**4), np.random.randint(0, 2**5)) for _ in range(100)]
circuit = f.compile(inputset, configuration.fork(p_error=6e-5))
assert str(circuit) == circuit.graph.format()
@pytest.mark.graphviz
def test_circuit_draw(helpers):
"""
Test `draw` method of `Circuit` class.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y):
return (x**2) * y + 2
inputset = [
(
np.random.randint(0, 2**4, size=(2,)),
np.random.randint(0, 2**5, size=()),
)
for _ in range(100)
]
circuit = f.compile(inputset, configuration)
drawing = circuit.draw()
assert drawing.suffix == ".png"
assert drawing.exists()
with tempfile.TemporaryDirectory() as path:
tmpdir = Path(path)
png = tmpdir / "drawing.png"
circuit.draw(save_to=png)
assert png.exists()
def test_circuit_feedback(helpers):
"""
Test feedback properties of `Circuit` class.
"""
configuration = helpers.configuration()
p_error = 0.1
global_p_error = 0.05
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y):
return np.sqrt(((x + y) ** 2) + 10).astype(np.int64)
inputset = [(np.random.randint(0, 2**2), np.random.randint(0, 2**2)) for _ in range(100)]
circuit = f.compile(inputset, configuration, p_error=p_error, global_p_error=global_p_error)
assert isinstance(circuit.complexity, float)
assert isinstance(circuit.size_of_secret_keys, int)
assert isinstance(circuit.size_of_bootstrap_keys, int)
assert isinstance(circuit.size_of_keyswitch_keys, int)
assert isinstance(circuit.size_of_inputs, int)
assert isinstance(circuit.size_of_outputs, int)
assert isinstance(circuit.p_error, float)
assert isinstance(circuit.global_p_error, float)
assert isinstance(circuit.mlir_module, MlirModule)
assert isinstance(circuit.compilation_context, CompilationContext)
assert isinstance(circuit.memory_usage_per_location, dict)
assert all(
isinstance(key, str) and isinstance(value, int)
for key, value in circuit.memory_usage_per_location.items()
)
assert circuit.p_error <= p_error
assert circuit.global_p_error <= global_p_error
def test_circuit_bad_run(helpers):
"""
Test `run` method of `Circuit` class with bad parameters.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y):
return x + y
inputset = [(np.random.randint(0, 2**4), np.random.randint(0, 2**5)) for _ in range(100)]
circuit = f.compile(inputset, configuration)
# with 1 argument
# ---------------
with pytest.raises(ValueError) as excinfo:
circuit.encrypt_run_decrypt(1)
assert str(excinfo.value) == "Expected 2 inputs but got 1"
# with 3 arguments
# ----------------
with pytest.raises(ValueError) as excinfo:
circuit.encrypt_run_decrypt(1, 2, 3)
assert str(excinfo.value) == "Expected 2 inputs but got 3"
# with negative argument 0
# ------------------------
with pytest.raises(ValueError) as excinfo:
circuit.encrypt_run_decrypt(-1, 11)
assert str(excinfo.value) == (
"Expected argument 0 to be EncryptedScalar<uint6> but it's EncryptedScalar<int1>"
)
# with negative argument 1
# ------------------------
with pytest.raises(ValueError) as excinfo:
circuit.encrypt_run_decrypt(1, -11)
assert str(excinfo.value) == (
"Expected argument 1 to be EncryptedScalar<uint6> but it's EncryptedScalar<int5>"
)
# with large argument 0
# ---------------------
with pytest.raises(ValueError) as excinfo:
circuit.encrypt_run_decrypt(100, 10)
assert str(excinfo.value) == (
"Expected argument 0 to be EncryptedScalar<uint6> but it's EncryptedScalar<uint7>"
)
# with large argument 1
# ---------------------
with pytest.raises(ValueError) as excinfo:
circuit.encrypt_run_decrypt(1, 100)
assert str(excinfo.value) == (
"Expected argument 1 to be EncryptedScalar<uint6> but it's EncryptedScalar<uint7>"
)
# with None
# ---------
with pytest.raises(ValueError) as excinfo:
circuit.encrypt_run_decrypt(None, 10)
assert str(excinfo.value) == "Expected argument 0 to be an fhe.Value but it's None"
# with non Value
# --------------
with pytest.raises(ValueError) as excinfo:
_, b = circuit.encrypt(None, 10)
circuit.run({"yes": "no"}, b)
assert str(excinfo.value) == "Expected argument 0 to be an fhe.Value but it's dict"
# with invalid argument
# ---------------------
with pytest.raises(ValueError) as excinfo:
circuit.encrypt_run_decrypt({"yes": "no"}, 10)
assert str(excinfo.value) == "Expected argument 0 to be EncryptedScalar<uint6> but it's dict"
def test_circuit_separate_args(helpers):
"""
Test running circuit with separately encrypted args.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def function(x, y):
return x + y
inputset = [
(
np.random.randint(0, 10, size=()),
np.random.randint(0, 10, size=(3,)),
)
for _ in range(10)
]
circuit = function.compile(inputset, configuration)
x = 4
y = [1, 2, 3]
x_encrypted, _ = circuit.encrypt(x, None)
_, y_encrypted = circuit.encrypt(None, y)
x_plus_y_encrypted = circuit.run(x_encrypted, y_encrypted)
x_plus_y = circuit.decrypt(x_plus_y_encrypted)
assert np.array_equal(x_plus_y, x + np.array(y))
def test_client_server_api(helpers):
"""
Test client/server API.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted"})
def function(x):
return x + 42
inputset = [np.random.randint(0, 10, size=(3,)) for _ in range(10)]
circuit = function.compile(inputset, configuration.fork())
# for coverage
circuit.keygen()
with tempfile.TemporaryDirectory() as tmp_dir:
tmp_dir_path = Path(tmp_dir)
server_path = tmp_dir_path / "server.zip"
circuit.server.save(server_path)
client_path = tmp_dir_path / "client.zip"
circuit.client.save(client_path)
circuit.cleanup()
server = Server.load(server_path)
serialized_client_specs = server.client_specs.serialize()
client_specs = ClientSpecs.deserialize(serialized_client_specs)
clients = [
Client(client_specs, configuration.insecure_key_cache_location),
Client.load(client_path, configuration.insecure_key_cache_location),
]
for client in clients:
arg = client.encrypt([3, 8, 1])
serialized_arg = arg.serialize()
serialized_evaluation_keys = client.evaluation_keys.serialize()
deserialized_arg = Value.deserialize(serialized_arg)
deserialized_evaluation_keys = EvaluationKeys.deserialize(serialized_evaluation_keys)
result = server.run(deserialized_arg, evaluation_keys=deserialized_evaluation_keys)
serialized_result = result.serialize()
deserialized_result = Value.deserialize(serialized_result)
output = client.decrypt(deserialized_result)
assert np.array_equal(output, [45, 50, 43])
with pytest.raises(RuntimeError) as excinfo:
server.save("UNUSED", via_mlir=True)
assert str(excinfo.value) == "Loaded server objects cannot be saved again via MLIR"
with pytest.raises(ValueError) as excinfo:
client.encrypt([1, 2, 3], function_name="foo")
assert str(excinfo.value) == "Function `foo` is not in the module"
server.cleanup()
def test_client_server_api_run_with_clear(helpers):
"""
Test running server run API with a clear input.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "clear", "z": "clear"})
def function(x, y, z):
return x + y + z
inputset = fhe.inputset(fhe.uint3, fhe.uint3, fhe.tensor[fhe.uint3, 2, 2]) # type: ignore
circuit = function.compile(inputset, configuration.fork())
client = circuit.client
server = circuit.server
x, y, z = 3, 2, [[1, 2], [3, 4]]
encrypted_x, _, _ = client.encrypt(x, None, None)
encrypted_result = server.run(encrypted_x, y, z, evaluation_keys=client.evaluation_keys)
result = client.decrypt(encrypted_result)
assert np.array_equal(result, x + y + np.array(z))
with pytest.raises(ValueError) as excinfo:
server.run(1, 2, 3, evaluation_keys=client.evaluation_keys)
assert str(excinfo.value) == "Expected argument 0 to be an fhe.Value but it's int"
with pytest.raises(RuntimeError) as excinfo:
server.run(encrypted_x, [2, 2], 3, evaluation_keys=client.evaluation_keys)
assert str(excinfo.value) == "Tried to transform plaintext value with incompatible shape."
def test_client_server_api_crt(helpers):
"""
Test client/server API on a CRT circuit.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted"})
def function(x):
return x**2
inputset = [np.random.randint(0, 200, size=(3,)) for _ in range(10)]
circuit = function.compile(inputset, configuration.fork())
with tempfile.TemporaryDirectory() as tmp_dir:
tmp_dir_path = Path(tmp_dir)
server_path = tmp_dir_path / "server.zip"
circuit.server.save(server_path)
client_path = tmp_dir_path / "client.zip"
circuit.client.save(client_path)
server = Server.load(server_path)
serialized_client_specs = server.client_specs.serialize()
client_specs = ClientSpecs.deserialize(serialized_client_specs)
clients = [
Client(client_specs, configuration.insecure_key_cache_location),
Client.load(client_path, configuration.insecure_key_cache_location),
]
for client in clients:
arg = client.encrypt([100, 150, 10])
serialized_arg = arg.serialize()
serialized_evaluation_keys = client.evaluation_keys.serialize()
deserialized_arg = Value.deserialize(serialized_arg)
deserialized_evaluation_keys = EvaluationKeys.deserialize(serialized_evaluation_keys)
result = server.run(deserialized_arg, evaluation_keys=deserialized_evaluation_keys)
serialized_result = result.serialize()
deserialized_result = Value.deserialize(serialized_result)
output = client.decrypt(deserialized_result)
assert np.array_equal(output, [100**2, 150**2, 10**2])
def test_client_server_api_via_mlir(helpers):
"""
Test client/server API.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted"})
def function(x):
return x + 42
inputset = [np.random.randint(0, 10, size=(3,)) for _ in range(10)]
circuit = function.compile(inputset, configuration.fork())
with tempfile.TemporaryDirectory() as tmp_dir:
tmp_dir_path = Path(tmp_dir)
server_path = tmp_dir_path / "server.zip"
circuit.server.save(server_path, via_mlir=True)
client_path = tmp_dir_path / "client.zip"
circuit.client.save(client_path)
circuit.cleanup()
server = Server.load(server_path)
serialized_client_specs = server.client_specs.serialize()
client_specs = ClientSpecs.deserialize(serialized_client_specs)
clients = [
Client(client_specs, configuration.insecure_key_cache_location),
Client.load(client_path, configuration.insecure_key_cache_location),
]
for client in clients:
arg = client.encrypt([3, 8, 1])
serialized_arg = arg.serialize()
serialized_evaluation_keys = client.evaluation_keys.serialize()
deserialized_arg = Value.deserialize(serialized_arg)
deserialized_evaluation_keys = EvaluationKeys.deserialize(serialized_evaluation_keys)
result = server.run(deserialized_arg, evaluation_keys=deserialized_evaluation_keys)
serialized_result = result.serialize()
deserialized_result = Value.deserialize(serialized_result)
output = client.decrypt(deserialized_result)
assert np.array_equal(output, [45, 50, 43])
server.cleanup()
def test_server_loading_via_mlir_kwargs(helpers):
"""
Test server loading via MLIR with kwarg overrides.
"""
configuration = helpers.configuration().fork(global_p_error=None, p_error=0.001)
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def function(x, y):
return x == y
inputset = fhe.inputset(fhe.uint4, fhe.uint4)
circuit = function.compile(inputset, configuration)
with tempfile.TemporaryDirectory() as tmp_dir:
tmp_dir_path = Path(tmp_dir)
server_path = tmp_dir_path / "server.zip"
circuit.server.save(server_path, via_mlir=True)
server = Server.load(server_path, p_error=0.05)
assert server.complexity < circuit.complexity
def test_circuit_run_with_unused_arg(helpers):
"""
Test `encrypt_run_decrypt` method of `Circuit` class with unused arguments.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y): # pylint: disable=unused-argument
return x + 10
inputset = [(np.random.randint(2**3, 2**4), np.random.randint(2**4, 2**5)) for _ in range(100)]
circuit = f.compile(inputset, configuration)
with pytest.raises(ValueError, match="Expected 2 inputs but got 1"):
circuit.encrypt_run_decrypt(10)
assert circuit.encrypt_run_decrypt(10, 0) == 20
assert circuit.encrypt_run_decrypt(10, 10) == 20
assert circuit.encrypt_run_decrypt(10, 20) == 20
@pytest.mark.dataflow
def test_dataflow_circuit(helpers):
"""
Test execution with dataflow_parallelize=True.
"""
configuration = helpers.configuration().fork(dataflow_parallelize=True)
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y):
return (x**2) + (y // 2)
inputset = [(np.random.randint(0, 2**3), np.random.randint(0, 2**3)) for _ in range(100)]
circuit = f.compile(inputset, configuration)
assert circuit.encrypt_run_decrypt(5, 6) == 28
def test_circuit_sim_disabled(helpers):
"""
Test attempt to simulate without enabling fhe simulation.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y):
return x + y
inputset = [(np.random.randint(0, 2**4), np.random.randint(0, 2**5)) for _ in range(2)]
circuit = f.compile(inputset, configuration)
assert circuit.simulate(*inputset[0]) == f(*inputset[0])
def test_circuit_fhe_exec_disabled(helpers):
"""
Test attempt to run fhe execution without it being enabled.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y):
return x + y
inputset = [(np.random.randint(0, 2**4), np.random.randint(0, 2**5)) for _ in range(2)]
circuit = f.compile(inputset, configuration.fork(fhe_execution=False))
assert circuit.encrypt_run_decrypt(*inputset[0]) == f(*inputset[0])
def test_circuit_fhe_exec_no_eval_keys(helpers):
"""
Test attempt to run fhe execution without eval keys.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y):
return x + y
inputset = [(np.random.randint(0, 2**4), np.random.randint(0, 2**5)) for _ in range(2)]
circuit = f.compile(inputset, configuration)
with pytest.raises(RuntimeError) as excinfo:
# as we can't encrypt, we just pass plain inputs, and it should lead to the expected error
encrypted_args = inputset[0]
circuit.server.run(*encrypted_args)
assert (
str(excinfo.value) == "Expected evaluation keys to be provided when not in simulation mode"
)
def test_circuit_eval_graph_scalar(helpers):
"""
Test evaluation of the graph.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y):
lut = LookupTable(list(range(128)))
return lut[x + y]
inputset = [(np.random.randint(0, 2**4), np.random.randint(0, 2**5)) for _ in range(2)]
circuit = f.compile(inputset, configuration.fork(fhe_simulation=False, fhe_execution=False))
assert f(*inputset[0]) == circuit.graph(*inputset[0])
def test_circuit_eval_graph_tensor(helpers):
"""
Test evaluation of the graph.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y):
lut = LookupTable(list(range(128)))
return lut[x + y]
inputset = [
(
np.random.randint(0, 2**4, size=[2, 2]),
np.random.randint(0, 2**5, size=[2, 2]),
)
for _ in range(2)
]
circuit = f.compile(inputset, configuration.fork(fhe_simulation=False, fhe_execution=False))
assert np.all(f(*inputset[0]) == circuit.graph(*inputset[0]))
def test_circuit_compile_sim_only(helpers):
"""
Test compiling with simulation only.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y):
lut = LookupTable(list(range(128)))
return lut[x + y]
inputset = [(np.random.randint(0, 2**4), np.random.randint(0, 2**5)) for _ in range(2)]
circuit = f.compile(inputset, configuration.fork(fhe_simulation=True, fhe_execution=False))
assert f(*inputset[0]) == circuit.simulate(*inputset[0])
def tagged_function(x, y, z):
"""
A tagged function to test statistics.
"""
with fhe.tag("a"):
x = fhe.univariate(lambda v: v)(x)
with fhe.tag("b"):
y = fhe.univariate(lambda v: v)(y)
with fhe.tag("c"):
z = fhe.univariate(lambda v: v)(z)
return x + y + z
@pytest.mark.parametrize(
"function,parameters,expected_statistics",
[
pytest.param(
lambda x: x**2,
{
"x": {"status": "encrypted", "range": [0, 10], "shape": ()},
},
{
"programmable_bootstrap_count": 1,
"clear_addition_count": 0,
"encrypted_addition_count": 0,
"clear_multiplication_count": 0,
"encrypted_negation_count": 0,
},
id="x**2 | x.is_encrypted | x.shape == ()",
),
pytest.param(
lambda x: x**2,
{
"x": {"status": "encrypted", "range": [0, 10], "shape": (3,)},
},
{
"programmable_bootstrap_count": 3,
"clear_addition_count": 0,
"encrypted_addition_count": 0,
"clear_multiplication_count": 0,
"encrypted_negation_count": 0,
},
id="x**2 | x.is_encrypted | x.shape == (3,)",
),
pytest.param(
lambda x: x**2,
{
"x": {"status": "encrypted", "range": [0, 10], "shape": (3, 2)},
},
{
"programmable_bootstrap_count": 3 * 2,
"clear_addition_count": 0,
"encrypted_addition_count": 0,
"clear_multiplication_count": 0,
"encrypted_negation_count": 0,
},
id="x**2 | x.is_encrypted | x.shape == (3, 2)",
),
pytest.param(
lambda x, y: x * y,
{
"x": {"status": "encrypted", "range": [0, 10], "shape": ()},
"y": {"status": "encrypted", "range": [0, 10], "shape": ()},
},
{
"programmable_bootstrap_count": 2,
"clear_addition_count": 1,
"encrypted_addition_count": 3,
"clear_multiplication_count": 0,
"encrypted_negation_count": 2,
},
id="x * y | x.is_encrypted | x.shape == () | y.is_encrypted | y.shape == ()",
),
pytest.param(
lambda x, y: x * y,
{
"x": {"status": "encrypted", "range": [0, 10], "shape": (3,)},
"y": {"status": "encrypted", "range": [0, 10], "shape": (3,)},
},
{
"programmable_bootstrap_count": 3 * 2,
"clear_addition_count": 3 * 1,
"encrypted_addition_count": 3 * 3,
"clear_multiplication_count": 0,
"encrypted_negation_count": 3 * 2,
},
id="x * y | x.is_encrypted | x.shape == (3,) | y.is_encrypted | y.shape == (3,)",
),
pytest.param(
lambda x, y: x * y,
{
"x": {"status": "encrypted", "range": [0, 10], "shape": (3, 2)},
"y": {"status": "encrypted", "range": [0, 10], "shape": (3, 2)},
},
{
"programmable_bootstrap_count": 3 * 2 * 2,
"clear_addition_count": 3 * 2 * 1,
"encrypted_addition_count": 3 * 2 * 3,
"clear_multiplication_count": 0,
"encrypted_negation_count": 3 * 2 * 2,
},
id="x * y | x.is_encrypted | x.shape == (3, 2) | y.is_encrypted | y.shape == (3, 2)",
),
pytest.param(
tagged_function,
{
"x": {"status": "encrypted", "range": [0, 2**3 - 1], "shape": ()},
"y": {"status": "encrypted", "range": [0, 2**4 - 1], "shape": ()},
"z": {"status": "encrypted", "range": [0, 2**5 - 1], "shape": ()},
},
{
"programmable_bootstrap_count_per_tag": {
"a": 3,
"a.b": 2,
"a.b.c": 1,
},
},
id="tagged_function",
),
],
)
def test_statistics(function, parameters, expected_statistics, helpers):
"""
Test statistics of the circuit provided by the compiler.
"""
parameter_encryption_statuses = helpers.generate_encryption_statuses(parameters)
configuration = helpers.configuration()
compiler = fhe.Compiler(function, parameter_encryption_statuses)
inputset = helpers.generate_inputset(parameters)
circuit = compiler.compile(inputset, configuration)
for name, expected_value in expected_statistics.items():
assert hasattr(circuit, name)
attr = getattr(circuit, name)
if callable(attr):
attr = attr()
assert (
attr == expected_value
), f"""
Expected {name} to be {expected_value} but it's {getattr(circuit, name)}
""".strip()
def test_setting_keys(helpers):
"""
Test setting circuit.keys explicitly.
"""
configuration = helpers.configuration()
@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def f(x, y):
return (x + y) ** 2
inputset = [
(
np.random.randint(0, 2**3, size=(10,)),
np.random.randint(0, 2**5, size=(10,)),
)
for _ in range(100)
]
circuit = f.compile(inputset, configuration.fork(use_insecure_key_cache=False))
circuit.keygen(force=True, seed=100)
keys1 = circuit.keys.serialize()
circuit.keygen(force=True, seed=200)
keys2 = circuit.keys.serialize()
assert keys1 != keys2
sample_x = np.random.randint(0, 2**3, size=(10,))
sample_y = np.random.randint(0, 2**5, size=(10,))
sample = circuit.encrypt(sample_x, sample_y)
output = circuit.run(*sample)
circuit.keys = fhe.Keys.deserialize(keys1)
result = circuit.decrypt(output)
assert not np.array_equal(result, (sample_x + sample_y) ** 2)
circuit.keys = fhe.Keys.deserialize(keys2)
result = circuit.decrypt(output)
assert np.array_equal(result, (sample_x + sample_y) ** 2)
def test_simulate_encrypt_run_decrypt(helpers):
"""
Test `simulate_encrypt_run_decrypt` configuration option.
"""
def f(x, y):
return x + y
inputset = fhe.inputset(fhe.uint3, fhe.uint3)
configuration = helpers.configuration().fork(
fhe_execution=False,
fhe_simulation=True,
simulate_encrypt_run_decrypt=True,
)
compiler = fhe.Compiler(f, {"x": "encrypted", "y": "encrypted"})
circuit = compiler.compile(inputset, configuration)
sample_x, sample_y = 3, 4
encrypted_x, encrypted_y = circuit.encrypt(sample_x, sample_y)
encrypted_result = circuit.run(encrypted_x, encrypted_y)
result = circuit.decrypt(encrypted_result)
assert result == sample_x + sample_y
# Make sure computation happened in simulation.
assert isinstance(encrypted_x, int)
assert isinstance(encrypted_y, int)
assert hasattr(circuit, "simulator")
assert isinstance(encrypted_result, int)