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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/simple_value.h>
#include <vespa/eval/eval/value_codec.h>
#include <vespa/eval/instruction/generic_merge.h>
#include <vespa/eval/eval/interpreted_function.h>
#include <vespa/eval/eval/test/tensor_model.hpp>
#include <vespa/vespalib/util/stringfmt.h>
#include <vespa/vespalib/gtest/gtest.h>
#include <optional>
using namespace vespalib;
using namespace vespalib::eval;
using namespace vespalib::eval::instruction;
using namespace vespalib::eval::test;
using vespalib::make_string_short::fmt;
std::vector<Layout> merge_layouts = {
{}, {},
{x(5)}, {x(5)},
{x(3),y(5)}, {x(3),y(5)},
float_cells({x(3),y(5)}), {x(3),y(5)},
{x(3),y(5)}, float_cells({x(3),y(5)}),
{x({"a","b","c"})}, {x({"a","b","c"})},
{x({"a","b","c"})}, {x({"c","d","e"})},
{x({"a","c","e"})}, {x({"b","c","d"})},
{x({"b","c","d"})}, {x({"a","c","e"})},
{x({"a","b","c"})}, {x({"c","d"})},
{x({"a","b"}),y({"foo","bar","baz"})}, {x({"b","c"}),y({"any","foo","bar"})},
{x(3),y({"foo", "bar"})}, {x(3),y({"baz", "bar"})},
{x({"a","b","c"}),y(5)}, {x({"b","c","d"}),y(5)}
};
TensorSpec reference_merge(const TensorSpec &a, const TensorSpec &b, join_fun_t fun) {
ValueType res_type = ValueType::merge(ValueType::from_spec(a.type()),
ValueType::from_spec(b.type()));
EXPECT_FALSE(res_type.is_error());
TensorSpec result(res_type.to_spec());
for (const auto &cell: a.cells()) {
auto other = b.cells().find(cell.first);
if (other == b.cells().end()) {
result.add(cell.first, cell.second);
} else {
result.add(cell.first, fun(cell.second, other->second));
}
}
for (const auto &cell: b.cells()) {
auto other = a.cells().find(cell.first);
if (other == a.cells().end()) {
result.add(cell.first, cell.second);
}
}
return result;
}
TensorSpec perform_generic_merge(const TensorSpec &a, const TensorSpec &b, join_fun_t fun) {
Stash stash;
const auto &factory = SimpleValueBuilderFactory::get();
auto lhs = value_from_spec(a, factory);
auto rhs = value_from_spec(b, factory);
auto my_op = GenericMerge::make_instruction(lhs->type(), rhs->type(), fun, factory, stash);
InterpretedFunction::EvalSingle single(factory, my_op);
return spec_from_value(single.eval(std::vector<Value::CREF>({*lhs, *rhs})));
}
TEST(GenericMergeTest, generic_merge_works_for_simple_values) {
ASSERT_TRUE((merge_layouts.size() % 2) == 0);
for (size_t i = 0; i < merge_layouts.size(); i += 2) {
TensorSpec lhs = spec(merge_layouts[i], N());
TensorSpec rhs = spec(merge_layouts[i + 1], Div16(N()));
SCOPED_TRACE(fmt("\n===\nLHS: %s\nRHS: %s\n===\n", lhs.to_string().c_str(), rhs.to_string().c_str()));
for (auto fun: {operation::Add::f, operation::Mul::f, operation::Sub::f, operation::Max::f}) {
auto expect = reference_merge(lhs, rhs, fun);
auto actual = perform_generic_merge(lhs, rhs, fun);
EXPECT_EQ(actual, expect);
}
}
}
TensorSpec immediate_generic_merge(const TensorSpec &a, const TensorSpec &b, join_fun_t fun) {
const auto &factory = SimpleValueBuilderFactory::get();
auto lhs = value_from_spec(a, factory);
auto rhs = value_from_spec(b, factory);
auto up = GenericMerge::perform_merge(*lhs, *rhs, fun, factory);
return spec_from_value(*up);
}
TEST(GenericMergeTest, immediate_generic_merge_works) {
ASSERT_TRUE((merge_layouts.size() % 2) == 0);
for (size_t i = 0; i < merge_layouts.size(); i += 2) {
TensorSpec lhs = spec(merge_layouts[i], N());
TensorSpec rhs = spec(merge_layouts[i + 1], Div16(N()));
SCOPED_TRACE(fmt("\n===\nLHS: %s\nRHS: %s\n===\n", lhs.to_string().c_str(), rhs.to_string().c_str()));
for (auto fun: {operation::Add::f, operation::Mul::f, operation::Sub::f, operation::Max::f}) {
auto expect = reference_merge(lhs, rhs, fun);
auto actual = immediate_generic_merge(lhs, rhs, fun);
EXPECT_EQ(actual, expect);
}
}
}
GTEST_MAIN_RUN_ALL_TESTS()
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