mirror of
https://github.com/luau-lang/luau.git
synced 2024-11-15 14:25:44 +08:00
110 lines
3.4 KiB
C++
110 lines
3.4 KiB
C++
// This file is part of the Luau programming language and is licensed under MIT License; see LICENSE.txt for details
|
|
#include "Luau/StringUtils.h"
|
|
|
|
#include "doctest.h"
|
|
|
|
#include <iostream>
|
|
|
|
namespace
|
|
{
|
|
using LevenshteinMatrix = std::vector<std::vector<size_t>>;
|
|
|
|
std::string format(std::string_view a, std::string_view b, size_t expected, size_t actual)
|
|
{
|
|
return "Distance of '" + std::string(a) + "' and '" + std::string(b) + "': expected " + std::to_string(expected) + ", got " +
|
|
std::to_string(actual);
|
|
}
|
|
|
|
// Each call to this function is not one test, but instead actually runs tests (A.size() * B.size()) + 2 times.
|
|
void compareLevenshtein(LevenshteinMatrix distances, std::string_view a, std::string_view b)
|
|
{
|
|
for (size_t x = 0; x <= a.size(); ++x)
|
|
{
|
|
for (size_t y = 0; y <= b.size(); ++y)
|
|
{
|
|
std::string_view currentA = a.substr(0, x);
|
|
std::string_view currentB = b.substr(0, y);
|
|
|
|
size_t actual = Luau::editDistance(currentA, currentB);
|
|
size_t expected = distances[x][y];
|
|
CHECK_MESSAGE(actual == expected, format(currentA, currentB, expected, actual));
|
|
}
|
|
}
|
|
}
|
|
} // namespace
|
|
|
|
TEST_SUITE_BEGIN("StringUtilsTest");
|
|
|
|
#if 0
|
|
// This unit test is only used to measure how performant the current levenshtein distance algorithm is.
|
|
// It is entirely ok to submit this, but keep #if 0.
|
|
TEST_CASE("BenchmarkLevenshteinDistance")
|
|
{
|
|
// For reference: running this benchmark on a Macbook Pro 16 takes ~250ms.
|
|
|
|
int count = 1'000'000;
|
|
|
|
// specifically chosen because they:
|
|
// - are real words,
|
|
// - have common prefix and suffix, and
|
|
// - are sufficiently long enough to stress test with
|
|
std::string_view a("Intercalate");
|
|
std::string_view b("Interchangeable");
|
|
|
|
auto start = std::chrono::steady_clock::now();
|
|
|
|
for (int i = 0; i < count; ++i)
|
|
Luau::editDistance(a, b);
|
|
|
|
auto end = std::chrono::steady_clock::now();
|
|
auto time = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
|
|
|
|
std::cout << "Running levenshtein distance " << count << " times took " << time.count() << "ms" << std::endl;
|
|
}
|
|
#endif
|
|
|
|
TEST_CASE("LevenshteinDistanceKittenSitting")
|
|
{
|
|
LevenshteinMatrix distances{
|
|
{0, 1, 2, 3, 4, 5, 6, 7}, // S I T T I N G
|
|
{1, 1, 2, 3, 4, 5, 6, 7}, // K
|
|
{2, 2, 1, 2, 3, 4, 5, 6}, // I
|
|
{3, 3, 2, 1, 2, 3, 4, 5}, // T
|
|
{4, 4, 3, 2, 1, 2, 3, 4}, // T
|
|
{5, 5, 4, 3, 2, 2, 3, 4}, // E
|
|
{6, 6, 5, 4, 3, 3, 2, 3}, // N
|
|
};
|
|
|
|
compareLevenshtein(distances, "kitten", "sitting");
|
|
}
|
|
|
|
TEST_CASE("LevenshteinDistanceSaturdaySunday")
|
|
{
|
|
LevenshteinMatrix distances{
|
|
{0, 1, 2, 3, 4, 5, 6}, // S U N D A Y
|
|
{1, 0, 1, 2, 3, 4, 5}, // S
|
|
{2, 1, 1, 2, 3, 3, 4}, // A
|
|
{3, 2, 2, 2, 3, 4, 4}, // T
|
|
{4, 3, 2, 3, 3, 4, 5}, // U
|
|
{5, 4, 3, 3, 4, 4, 5}, // R
|
|
{6, 5, 4, 4, 3, 4, 5}, // D
|
|
{7, 6, 5, 5, 4, 3, 4}, // A
|
|
{8, 7, 6, 6, 5, 4, 3}, // Y
|
|
};
|
|
|
|
compareLevenshtein(distances, "saturday", "sunday");
|
|
}
|
|
|
|
TEST_CASE("EditDistanceIsAgnosticOfArgumentOrdering")
|
|
{
|
|
CHECK_EQ(Luau::editDistance("blox", "block"), Luau::editDistance("block", "blox"));
|
|
}
|
|
|
|
TEST_CASE("AreWeUsingDistanceWithAdjacentTranspositionsAndNotOptimalStringAlignment")
|
|
{
|
|
size_t distance = Luau::editDistance("CA", "ABC");
|
|
CHECK_EQ(distance, 2);
|
|
}
|
|
|
|
TEST_SUITE_END();
|