1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131
|
// Copyright 2017 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "components/zucchini/targets_affinity.h"
#include <stddef.h>
#include <stdint.h>
#include <vector>
#include "components/zucchini/equivalence_map.h"
#include "components/zucchini/image_utils.h"
#include "testing/gtest/include/gtest/gtest.h"
namespace zucchini {
TEST(TargetsAffinityTest, AffinityBetween) {
using AffinityVector = std::vector<std::vector<double>>;
// A common TargetsAffinity is used across independent tests. This is to
// reflect actual usage, in which common TargetsAffinity is used so that
// internal buffers get reused.
TargetsAffinity targets_affinity;
auto test_affinity = [&targets_affinity](
const EquivalenceMap& equivalence_map,
const std::deque<offset_t>& old_targets,
const std::deque<offset_t>& new_targets) {
targets_affinity.InferFromSimilarities(equivalence_map, old_targets,
new_targets);
AffinityVector affinities(old_targets.size());
for (key_t i = 0; i < old_targets.size(); ++i) {
for (key_t j = 0; j < new_targets.size(); ++j) {
affinities[i].push_back(targets_affinity.AffinityBetween(i, j));
}
}
return affinities;
};
EXPECT_EQ(AffinityVector({}), test_affinity(EquivalenceMap(), {}, {}));
EXPECT_EQ(AffinityVector({}),
test_affinity(EquivalenceMap({{{0, 0, 8}, 1.0}}), {}, {}));
EXPECT_EQ(AffinityVector({{0.0, 0.0}, {0.0, 0.0}}),
test_affinity(EquivalenceMap(), {0, 10}, {0, 5}));
EXPECT_EQ(AffinityVector({{1.0, -1.0}, {-1.0, 0.0}}),
test_affinity(EquivalenceMap({{{0, 0, 1}, 1.0}}), {0, 10}, {0, 5}));
EXPECT_EQ(AffinityVector({{1.0, -1.0}, {-1.0, 0.0}}),
test_affinity(EquivalenceMap({{{0, 0, 2}, 1.0}}), {1, 10}, {1, 5}));
EXPECT_EQ(AffinityVector({{0.0, 0.0}, {0.0, 0.0}}),
test_affinity(EquivalenceMap({{{0, 1, 2}, 1.0}}), {1, 10}, {1, 5}));
EXPECT_EQ(AffinityVector({{1.0, -1.0}, {-1.0, 0.0}}),
test_affinity(EquivalenceMap({{{0, 1, 2}, 1.0}}), {0, 10}, {1, 5}));
EXPECT_EQ(AffinityVector({{2.0, -2.0}, {-2.0, 0.0}}),
test_affinity(EquivalenceMap({{{0, 0, 1}, 2.0}}), {0, 10}, {0, 5}));
EXPECT_EQ(
AffinityVector({{1.0, -1.0}, {-1.0, 1.0}, {-1.0, -1.0}}),
test_affinity(EquivalenceMap({{{0, 0, 6}, 1.0}}), {0, 5, 10}, {0, 5}));
EXPECT_EQ(AffinityVector({{-2.0, 2.0}, {1.0, -2.0}, {-1.0, -2.0}}),
test_affinity(EquivalenceMap({{{5, 0, 2}, 1.0}, {{0, 5, 2}, 2.0}}),
{0, 5, 10}, {0, 5}));
EXPECT_EQ(AffinityVector({{-2.0, 2.0}, {0.0, -2.0}, {0.0, -2.0}}),
test_affinity(EquivalenceMap({{{0, 0, 2}, 1.0}, {{0, 5, 2}, 2.0}}),
{0, 5, 10}, {0, 5}));
}
TEST(TargetsAffinityTest, AssignLabels) {
// A common TargetsAffinity is used across independent tests. This is to
// reflect actual usage, in which common TargetsAffinity is used so that
// internal buffers get reused.
TargetsAffinity targets_affinity;
auto test_labels_assignment =
[&targets_affinity](const EquivalenceMap& equivalence_map,
const std::deque<offset_t>& old_targets,
const std::deque<offset_t>& new_targets,
double min_affinity,
const std::vector<uint32_t>& expected_old_labels,
const std::vector<uint32_t>& expected_new_labels) {
targets_affinity.InferFromSimilarities(equivalence_map, old_targets,
new_targets);
std::vector<uint32_t> old_labels;
std::vector<uint32_t> new_labels;
size_t bound = targets_affinity.AssignLabels(min_affinity, &old_labels,
&new_labels);
EXPECT_EQ(expected_old_labels, old_labels);
EXPECT_EQ(expected_new_labels, new_labels);
return bound;
};
EXPECT_EQ(1U, test_labels_assignment(EquivalenceMap(), {}, {}, 1.0, {}, {}));
EXPECT_EQ(1U, test_labels_assignment(EquivalenceMap({{{0, 0, 8}, 1.0}}), {},
{}, 1.0, {}, {}));
EXPECT_EQ(1U, test_labels_assignment(EquivalenceMap(), {0, 10}, {0, 5}, 1.0,
{0, 0}, {0, 0}));
EXPECT_EQ(2U, test_labels_assignment(EquivalenceMap({{{0, 0, 1}, 1.0}}),
{0, 10}, {0, 5}, 1.0, {1, 0}, {1, 0}));
EXPECT_EQ(1U, test_labels_assignment(EquivalenceMap({{{0, 0, 1}, 0.99}}),
{0, 10}, {0, 5}, 1.0, {0, 0}, {0, 0}));
EXPECT_EQ(1U, test_labels_assignment(EquivalenceMap({{{0, 0, 1}, 1.0}}),
{0, 10}, {0, 5}, 1.01, {0, 0}, {0, 0}));
EXPECT_EQ(1U, test_labels_assignment(EquivalenceMap({{{0, 0, 1}, 1.0}}),
{0, 10}, {0, 5}, 15.0, {0, 0}, {0, 0}));
EXPECT_EQ(2U, test_labels_assignment(EquivalenceMap({{{0, 0, 1}, 15.0}}),
{0, 10}, {0, 5}, 15.0, {1, 0}, {1, 0}));
EXPECT_EQ(2U, test_labels_assignment(EquivalenceMap({{{0, 1, 2}, 1.0}}),
{0, 10}, {1, 5}, 1.0, {1, 0}, {1, 0}));
EXPECT_EQ(
3U, test_labels_assignment(EquivalenceMap({{{0, 0, 6}, 1.0}}), {0, 5, 10},
{0, 5}, 1.0, {1, 2, 0}, {1, 2}));
EXPECT_EQ(3U, test_labels_assignment(
EquivalenceMap({{{5, 0, 2}, 1.0}, {{0, 5, 2}, 2.0}}),
{0, 5, 10}, {0, 5}, 1.0, {1, 2, 0}, {2, 1}));
EXPECT_EQ(2U, test_labels_assignment(
EquivalenceMap({{{0, 0, 2}, 1.0}, {{0, 5, 2}, 2.0}}),
{0, 5, 10}, {0, 5}, 1.0, {1, 0, 0}, {0, 1}));
}
} // namespace zucchini
|