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logical_test.cc
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// Copyright 2023 Ant Group Co., Ltd.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "engine/operator/logical.h"
#include "gtest/gtest.h"
#include "engine/core/tensor_constructor.h"
#include "engine/operator/binary_test.h"
#include "engine/operator/test_util.h"
namespace scql::engine::op {
struct NotTestCase {
std::vector<test::NamedTensor> inputs;
pb::TensorStatus input_status;
std::vector<test::NamedTensor> outputs;
};
class NotTest : public testing::TestWithParam<
std::tuple<test::SpuRuntimeTestCase, NotTestCase>> {
public:
static pb::ExecNode MakeExecNode(const NotTestCase& tc);
static void FeedInputs(const std::vector<ExecContext*>& ctxs,
const NotTestCase& tc);
};
INSTANTIATE_TEST_SUITE_P(
NotBatchTest, NotTest,
testing::Combine(
test::SpuTestValuesMultiPC,
testing::Values(
NotTestCase{
.inputs = {test::NamedTensor(
"x", TensorFrom(arrow::boolean(),
"[true, false, null, false, false]"))},
.input_status = pb::TENSORSTATUS_PRIVATE,
.outputs = {test::NamedTensor(
"x_hat", TensorFrom(arrow::boolean(),
"[false, true, null, true, true]"))}},
NotTestCase{
.inputs = {test::NamedTensor(
"x", TensorFrom(arrow::boolean(),
"[true, false, true, false, false]"))},
.input_status = pb::TENSORSTATUS_SECRET,
.outputs = {test::NamedTensor(
"x_hat", TensorFrom(arrow::boolean(),
"[false, true, false, true, true]"))}}
// ,
// // testcase with empty inputs
// NotTestCase{.inputs = {test::NamedTensor(
// "x", TensorFrom(arrow::boolean(), "[]"))},
// .input_status = pb::TENSORSTATUS_SECRET,
// .outputs = {test::NamedTensor(
// "x_hat", TensorFrom(arrow::boolean(),
// "[]"))}}
)));
TEST_P(NotTest, Works) {
auto parm = GetParam();
auto tc = std::get<1>(parm);
auto node = MakeExecNode(tc);
auto sessions = test::MakeMultiPCSession(std::get<0>(parm));
std::vector<ExecContext> exec_ctxs;
exec_ctxs.reserve(sessions.size());
for (auto& session : sessions) {
exec_ctxs.emplace_back(node, session.get());
}
// feed inputs
std::vector<ExecContext*> ctx_ptrs;
ctx_ptrs.reserve(exec_ctxs.size());
for (auto& exec_ctx : exec_ctxs) {
ctx_ptrs.emplace_back(&exec_ctx);
}
FeedInputs(ctx_ptrs, tc);
if (tc.input_status == pb::TENSORSTATUS_PRIVATE) {
Not alice_op;
EXPECT_NO_THROW({ alice_op.Run(ctx_ptrs[0]); });
auto* tensor_table = ctx_ptrs[0]->GetTensorTable();
for (const auto& named_tensor : tc.outputs) {
auto t = tensor_table->GetTensor(named_tensor.name);
ASSERT_TRUE(t != nullptr) << named_tensor.name << " not found";
auto expect_out_arr = named_tensor.tensor->ToArrowChunkedArray();
auto actual_out_arr = t->ToArrowChunkedArray();
EXPECT_TRUE(actual_out_arr->ApproxEquals(*expect_out_arr))
<< "\nexpect result = " << expect_out_arr->ToString()
<< "\nbut actual got result = " << actual_out_arr->ToString();
}
} else {
EXPECT_NO_THROW(test::RunAsync<Not>(ctx_ptrs));
for (const auto& named_tensor : tc.outputs) {
TensorPtr t = nullptr;
EXPECT_NO_THROW({ t = test::RevealSecret(ctx_ptrs, named_tensor.name); });
ASSERT_TRUE(t != nullptr);
auto expect_out_arr = named_tensor.tensor->ToArrowChunkedArray();
auto actual_out_arr = t->ToArrowChunkedArray();
EXPECT_TRUE(actual_out_arr->Equals(expect_out_arr))
<< "\nexpect result = " << expect_out_arr->ToString()
<< "\nbut actual got result = " << actual_out_arr->ToString();
}
}
}
pb::ExecNode NotTest::MakeExecNode(const NotTestCase& tc) {
test::ExecNodeBuilder builder(Not::kOpType);
builder.SetNodeName("not-test");
std::vector<pb::Tensor> inputs;
for (const auto& named_tensor : tc.inputs) {
auto t = test::MakeTensorReference(
named_tensor.name, named_tensor.tensor->Type(), tc.input_status);
inputs.push_back(std::move(t));
}
builder.AddInput(Not::kIn, inputs);
std::vector<pb::Tensor> outputs;
for (size_t i = 0; i < tc.outputs.size(); ++i) {
auto t = test::MakeTensorAs(tc.outputs[i].name, inputs[i]);
outputs.push_back(std::move(t));
}
builder.AddOutput(Not::kOut, outputs);
return builder.Build();
}
void NotTest::FeedInputs(const std::vector<ExecContext*>& ctxs,
const NotTestCase& tc) {
if (tc.input_status == pb::TENSORSTATUS_PRIVATE) {
test::FeedInputsAsPrivate(ctxs[0], tc.inputs);
} else {
test::FeedInputsAsSecret(ctxs, tc.inputs);
}
}
// testcases for LogicalAnd & LogicalOr
INSTANTIATE_TEST_SUITE_P(
LogicalBatchTest, BinaryComputeInSecretTest,
testing::Combine(
test::SpuTestValuesMultiPC,
testing::Values(
BinaryTestCase{
.op_type = LogicalAnd::kOpType,
.left_inputs =
{test::NamedTensor(
"x1", TensorFrom(arrow::boolean(),
"[true, false, true, false]")),
test::NamedTensor(
"x2", TensorFrom(arrow::boolean(),
"[false, false, true, false]"))},
.left_input_status = pb::TENSORSTATUS_SECRET,
.right_inputs =
{test::NamedTensor(
"y1", TensorFrom(arrow::boolean(),
"[true, true, false, false]")),
test::NamedTensor("y2",
TensorFrom(arrow::boolean(),
"[true, true, true, true]"))},
.right_input_status = pb::TENSORSTATUS_SECRET,
.outputs = {test::NamedTensor(
"z1",
TensorFrom(arrow::boolean(),
"[true, false, false, false]")),
test::NamedTensor(
"z2",
TensorFrom(arrow::boolean(),
"[false, false, true, false]"))},
.output_status = pb::TENSORSTATUS_SECRET},
BinaryTestCase{.op_type = LogicalOr::kOpType,
.left_inputs = {test::NamedTensor(
"x1", TensorFrom(arrow::boolean(),
"[true, false, true, false]"))},
.left_input_status = pb::TENSORSTATUS_SECRET,
.right_inputs = {test::NamedTensor(
"y1", TensorFrom(arrow::boolean(),
"[true, true, false, false]"))},
.right_input_status = pb::TENSORSTATUS_SECRET,
.outputs = {test::NamedTensor(
"z1", TensorFrom(arrow::boolean(),
"[true, true, true, false]"))},
.output_status = pb::TENSORSTATUS_SECRET},
// testcase with empty inputs
BinaryTestCase{.op_type = LogicalAnd::kOpType,
.left_inputs = {test::NamedTensor(
"x1", TensorFrom(arrow::boolean(), "[]"))},
.left_input_status = pb::TENSORSTATUS_SECRET,
.right_inputs = {test::NamedTensor(
"y1", TensorFrom(arrow::boolean(), "[]"))},
.right_input_status = pb::TENSORSTATUS_SECRET,
.outputs = {test::NamedTensor(
"z1", TensorFrom(arrow::boolean(), "[]"))},
.output_status = pb::TENSORSTATUS_SECRET},
BinaryTestCase{.op_type = LogicalOr::kOpType,
.left_inputs = {test::NamedTensor(
"x1", TensorFrom(arrow::boolean(), "[]"))},
.left_input_status = pb::TENSORSTATUS_SECRET,
.right_inputs = {test::NamedTensor(
"y1", TensorFrom(arrow::boolean(), "[]"))},
.right_input_status = pb::TENSORSTATUS_SECRET,
.outputs = {test::NamedTensor(
"z1", TensorFrom(arrow::boolean(), "[]"))},
.output_status = pb::TENSORSTATUS_SECRET})),
TestParamNameGenerator(BinaryComputeInSecretTest));
INSTANTIATE_TEST_SUITE_P(
LogicalBatchTest, BinaryComputeInPlainTest,
testing::Combine(
test::SpuTestValuesMultiPC,
testing::Values(
BinaryTestCase{.op_type = LogicalAnd::kOpType,
.left_inputs = {test::NamedTensor(
"x1", TensorFrom(arrow::boolean(),
"[true, false, true, null]"))},
.left_input_status = pb::TENSORSTATUS_PRIVATE,
.right_inputs = {test::NamedTensor(
"y1", TensorFrom(arrow::boolean(),
"[true, true, null, false]"))},
.right_input_status = pb::TENSORSTATUS_PRIVATE,
.outputs = {test::NamedTensor(
"z1", TensorFrom(arrow::boolean(),
"[true, false, null, false]"))},
.output_status = pb::TENSORSTATUS_PRIVATE},
BinaryTestCase{.op_type = LogicalOr::kOpType,
.left_inputs = {test::NamedTensor(
"x1", TensorFrom(arrow::boolean(),
"[true, false, true, null]"))},
.left_input_status = pb::TENSORSTATUS_PRIVATE,
.right_inputs = {test::NamedTensor(
"y1", TensorFrom(arrow::boolean(),
"[true, true, null, false]"))},
.right_input_status = pb::TENSORSTATUS_PRIVATE,
.outputs = {test::NamedTensor(
"z1", TensorFrom(arrow::boolean(),
"[true, true, true, null]"))},
.output_status = pb::TENSORSTATUS_PRIVATE})),
TestParamNameGenerator(BinaryComputeInPlainTest));
} // namespace scql::engine::op