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// Copyright Yahoo. 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/gen_spec.h>
#include <vespa/eval/eval/value_codec.h>
#include <vespa/document/update/tensor_partial_update.h>
#include <vespa/vespalib/util/stringfmt.h>
#include <vespa/vespalib/gtest/gtest.h>
#include <optional>
using namespace document;
using namespace vespalib;
using namespace vespalib::eval;
using namespace vespalib::eval::test;
using vespalib::make_string_short::fmt;
std::vector<std::pair<vespalib::string,vespalib::string>> modify_layouts = {
{ "x4_1", "x4_1" },
{ "x4_1", "x4_2" },
{ "x4", "x4_2" },
{ "x4_1y4_2", "x4_2y4_1" },
{ "x4y4_1z4", "x4_2y4_2z4_2" },
{ "x3y2", "x2_1y2_1" }
};
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.normalize();
}
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 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) {
for (const auto &layouts: modify_layouts) {
for (auto lhs_ct: CellTypeUtils::list_types()) {
for (auto rhs_ct: CellTypeUtils::list_types()) {
TensorSpec lhs = GenSpec::from_desc(layouts.first).cells(lhs_ct).seq(N());
TensorSpec rhs = GenSpec::from_desc(layouts.second).cells(rhs_ct).seq(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<std::pair<vespalib::string,vespalib::string>> bad_layouts = {
{ "x3", "x3" },
{ "x3y4_1", "x3y4_1" },
{ "x4_1", "x4_1y4_1" },
{ "x4_1y4_1", "x4_1" },
{ "x4_1", "x4_1y1" }
};
TEST(PartialModifyTest, partial_modify_returns_nullptr_on_invalid_inputs) {
for (const auto &layouts: bad_layouts) {
TensorSpec lhs = GenSpec::from_desc(layouts.first).seq(N());
TensorSpec rhs = GenSpec::from_desc(layouts.second).seq(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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