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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/test/tensor_model.hpp>
#include <vespa/eval/eval/value_codec.h>
#include <vespa/eval/tensor/partial_update.h>
#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::test;
using vespalib::make_string_short::fmt;
std::vector<Layout> modify_layouts = {
{x({"a"})}, {x({"a"})},
{x({"a",""})}, {x({"b","c","d","e"})},
{x(5)}, {x({"1","2","foo","17"})},
{x({"a","b","c"}),y({"d","e"})}, {x({"b"}),y({"d"})},
{x({"a","b","c"})}, {x({"b","c","d"})},
{x(4),y({"a","b","c","d"}),z(5)}, {x({"1","2"}),y({"b","d"}),z({"1","3"})},
{x(3),y(2)}, {x({"0","1"}),y({"0","1"})},
{x({"a","","b"})}, {x({""})}
};
TensorSpec::Address sparsify(const TensorSpec::Address &input) {
TensorSpec::Address output;
for (const auto & kv : input) {
if (kv.second.is_indexed()) {
auto val = fmt("%zu", kv.second.index);
output.emplace(kv.first, val);
} else {
output.emplace(kv.first, kv.second);
}
}
return output;
}
TensorSpec reference_modify(const TensorSpec &a, const TensorSpec &b, join_fun_t fun) {
TensorSpec result(a.type());
auto end_iter = b.cells().end();
for (const auto &cell: a.cells()) {
double v = cell.second;
auto sparse_addr = sparsify(cell.first);
auto iter = b.cells().find(sparse_addr);
if (iter == end_iter) {
result.add(cell.first, v);
} else {
result.add(cell.first, fun(v, iter->second));
}
}
return result;
}
Value::UP try_partial_modify(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);
return tensor::TensorPartialUpdate::modify(*lhs, fun, *rhs, factory);
}
TensorSpec perform_partial_modify(const TensorSpec &a, const TensorSpec &b, join_fun_t fun) {
auto up = try_partial_modify(a, b, fun);
EXPECT_TRUE(up);
return spec_from_value(*up);
}
TEST(PartialModifyTest, partial_modify_works_for_simple_values) {
ASSERT_TRUE((modify_layouts.size() % 2) == 0);
for (size_t i = 0; i < modify_layouts.size(); i += 2) {
TensorSpec lhs = spec(modify_layouts[i], N());
TensorSpec rhs = spec(modify_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}) {
auto expect = reference_modify(lhs, rhs, fun);
auto actual = perform_partial_modify(lhs, rhs, fun);
EXPECT_EQ(actual, expect);
}
auto fun = [](double, double keep) { return keep; };
auto expect = reference_modify(lhs, rhs, fun);
auto actual = perform_partial_modify(lhs, rhs, fun);
EXPECT_EQ(actual, expect);
}
}
std::vector<Layout> bad_layouts = {
{x(3)}, {x(3)},
{x(3),y({"a"})}, {x(3),y({"a"})},
{x({"a"})}, {x({"a"}),y({"b"})},
{x({"a"}),y({"b"})}, {x({"a"})},
{x({"a"})}, {x({"a"}),y(1)}
};
TEST(PartialModifyTest, partial_modify_returns_nullptr_on_invalid_inputs) {
ASSERT_TRUE((bad_layouts.size() % 2) == 0);
for (size_t i = 0; i < bad_layouts.size(); i += 2) {
TensorSpec lhs = spec(bad_layouts[i], N());
TensorSpec rhs = spec(bad_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}) {
auto actual = try_partial_modify(lhs, rhs, fun);
auto expect = Value::UP();
EXPECT_EQ(actual, expect);
}
}
}
GTEST_MAIN_RUN_ALL_TESTS()
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