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// Copyright Verizon Media. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/eval/eval/fast_value.hpp>
#include <vespa/eval/eval/fast_value.h>
#include <vespa/eval/eval/value_codec.h>
#include <vespa/eval/eval/test/gen_spec.h>
#include <vespa/vespalib/gtest/gtest.h>
using namespace vespalib;
using namespace vespalib::eval;
using namespace vespalib::eval::test;
using Handle = SharedStringRepo::Handle;
TEST(FastCellsTest, push_back_fast_works) {
FastCells<float> cells(3);
EXPECT_EQ(cells.capacity, 4);
EXPECT_EQ(cells.size, 0);
cells.push_back_fast(1.0);
cells.push_back_fast(2.0);
cells.push_back_fast(3.0);
EXPECT_EQ(cells.capacity, 4);
EXPECT_EQ(cells.size, 3);
cells.ensure_free(3);
EXPECT_EQ(cells.capacity, 8);
EXPECT_EQ(cells.size, 3);
cells.push_back_fast(4.0);
cells.push_back_fast(5.0);
cells.push_back_fast(6.0);
EXPECT_EQ(cells.capacity, 8);
EXPECT_EQ(cells.size, 6);
auto usage = cells.estimate_extra_memory_usage();
EXPECT_EQ(usage.allocatedBytes(), sizeof(float) * 8);
EXPECT_EQ(usage.usedBytes(), sizeof(float) * 6);
EXPECT_EQ(*cells.get(0), 1.0);
EXPECT_EQ(*cells.get(1), 2.0);
EXPECT_EQ(*cells.get(2), 3.0);
EXPECT_EQ(*cells.get(3), 4.0);
EXPECT_EQ(*cells.get(4), 5.0);
EXPECT_EQ(*cells.get(5), 6.0);
}
TEST(FastCellsTest, add_cells_works) {
FastCells<float> cells(3);
auto arr1 = cells.add_cells(3);
EXPECT_EQ(cells.capacity, 4);
EXPECT_EQ(cells.size, 3);
arr1[0] = 1.0;
arr1[1] = 2.0;
arr1[2] = 3.0;
auto arr2 = cells.add_cells(3);
EXPECT_EQ(cells.capacity, 8);
EXPECT_EQ(cells.size, 6);
arr2[0] = 4.0;
arr2[1] = 5.0;
arr2[2] = 6.0;
EXPECT_EQ(*cells.get(0), 1.0);
EXPECT_EQ(*cells.get(1), 2.0);
EXPECT_EQ(*cells.get(2), 3.0);
EXPECT_EQ(*cells.get(3), 4.0);
EXPECT_EQ(*cells.get(4), 5.0);
EXPECT_EQ(*cells.get(5), 6.0);
}
using SA = std::vector<vespalib::stringref>;
TEST(FastValueBuilderTest, scalar_add_subspace_robustness) {
auto factory = FastValueBuilderFactory::get();
ValueType type = ValueType::from_spec("double");
auto builder = factory.create_value_builder<double>(type);
auto subspace = builder->add_subspace();
subspace[0] = 17.0;
auto other = builder->add_subspace();
other[0] = 42.0;
auto value = builder->build(std::move(builder));
EXPECT_EQ(value->index().size(), 1);
auto actual = spec_from_value(*value);
auto expected = TensorSpec("double").
add({}, 42.0);
EXPECT_EQ(actual, expected);
}
TEST(FastValueBuilderTest, dense_add_subspace_robustness) {
auto factory = FastValueBuilderFactory::get();
ValueType type = ValueType::from_spec("tensor(x[2])");
auto builder = factory.create_value_builder<double>(type);
auto subspace = builder->add_subspace();
subspace[0] = 17.0;
subspace[1] = 666;
auto other = builder->add_subspace();
other[1] = 42.0;
auto value = builder->build(std::move(builder));
EXPECT_EQ(value->index().size(), 1);
auto actual = spec_from_value(*value);
auto expected = TensorSpec("tensor(x[2])").
add({{"x", 0}}, 17.0).
add({{"x", 1}}, 42.0);
EXPECT_EQ(actual, expected);
}
TEST(FastValueBuilderTest, mixed_add_subspace_robustness) {
auto factory = FastValueBuilderFactory::get();
ValueType type = ValueType::from_spec("tensor(x{},y[2])");
auto builder = factory.create_value_builder<double>(type);
auto subspace = builder->add_subspace(SA{"foo"});
subspace[0] = 1.0;
subspace[1] = 5.0;
subspace = builder->add_subspace(SA{"bar"});
subspace[0] = 2.0;
subspace[1] = 10.0;
auto other = builder->add_subspace(SA{"foo"});
other[0] = 3.0;
other[1] = 15.0;
auto value = builder->build(std::move(builder));
EXPECT_EQ(value->index().size(), 3);
Handle foo("foo");
Handle bar("bar");
string_id label;
string_id *label_ptr = &label;
size_t subspace_idx;
auto get_subspace = [&]() {
auto cells = value->cells().typify<double>();
return ConstArrayRef<double>(cells.begin() + subspace_idx * 2, 2);
};
auto view = value->index().create_view({});
view->lookup({});
while (view->next_result({&label_ptr, 1}, subspace_idx)) {
if (label == bar.id()) {
auto values = get_subspace();
EXPECT_EQ(values[0], 2.0);
EXPECT_EQ(values[1], 10.0);
} else {
EXPECT_EQ(label, foo.id());
auto values = get_subspace();
if (values[0] == 1) {
EXPECT_EQ(values[1], 5.0);
} else {
EXPECT_EQ(values[0], 3.0);
EXPECT_EQ(values[1], 15.0);
}
}
}
}
GenSpec G() { return GenSpec(); }
const std::vector<GenSpec> layouts = {
G(),
G().idx("x", 3),
G().idx("x", 3).idx("y", 5),
G().idx("x", 3).idx("y", 5).idx("z", 7),
G().map("x", {"a","b","c"}),
G().map("x", {"a","b","c"}).map("y", {"foo","bar"}),
G().map("x", {"a","b","c"}).map("y", {"foo","bar"}).map("z", {"i","j","k","l"}),
G().idx("x", 3).map("y", {"foo", "bar"}).idx("z", 7),
G().map("x", {"a","b","c"}).idx("y", 5).map("z", {"i","j","k","l"})
};
TEST(FastValueBuilderFactoryTest, fast_values_can_be_copied) {
auto factory = FastValueBuilderFactory::get();
for (const auto &layout: layouts) {
for (CellType ct : CellTypeUtils::list_types()) {
auto expect = layout.cpy().cells(ct);
if (expect.bad_scalar()) continue;
std::unique_ptr<Value> value = value_from_spec(expect, factory);
std::unique_ptr<Value> copy = factory.copy(*value);
TensorSpec actual = spec_from_value(*copy);
EXPECT_EQ(actual, expect);
}
}
}
GTEST_MAIN_RUN_ALL_TESTS()
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