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Optimize FuzzyMatcher and add tests.
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@ -1,7 +1,11 @@
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#include "fuzzy_match.h"
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#include <doctest/doctest.h>
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#include <ctype.h>
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#include <stdio.h>
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#include <algorithm>
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#include <vector>
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enum CharClass { Other, Lower, Upper };
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enum CharRole { None, Tail, Head };
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@ -49,20 +53,20 @@ int FuzzyMatcher::MissScore(int j, bool last) {
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}
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int FuzzyMatcher::MatchScore(int i, int j, bool last) {
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int s = 40;
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int s = 0;
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if (pat[i] == text[j]) {
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s++;
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if ((pat_set & 1 << Upper) || i == j)
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s += 20;
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s += 10;
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}
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if (pat_role[i] == Head && text_role[j] == Head)
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s += 50;
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s += 30;
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if (text_role[j] == Tail && i && !last)
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s -= 50;
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if (pat_role[i] == Head && text_role[j] == Tail)
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s -= 30;
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if (pat_role[i] == Head && text_role[j] == Tail)
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s -= 10;
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if (i == 0 && text_role[j] == Tail)
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s -= 70;
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s -= 40;
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return s;
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}
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@ -87,31 +91,73 @@ int FuzzyMatcher::Match(std::string_view text) {
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low_text[i] = ::tolower(text[i]);
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CalculateRoles(text, text_role, &text_set);
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dp[0][0][0] = 0;
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dp[0][0][1] = kMinScore;
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dp[0][0][1] = kMinScore * 2;
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for (int j = 0; j < n; j++) {
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dp[0][j + 1][0] = dp[0][j][0] + MissScore(j, false);
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dp[0][j + 1][1] = kMinScore;
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dp[0][j + 1][1] = kMinScore * 2;
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}
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for (int i = 0; i < int(pat.size()); i++) {
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int(*pre)[2] = dp[i & 1];
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int(*cur)[2] = dp[(i + 1) & 1];
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cur[0][0] = cur[0][1] = kMinScore;
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for (int j = 0; j < n; j++) {
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cur[i][0] = cur[i][1] = kMinScore;
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for (int j = i; j < n; j++) {
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cur[j + 1][0] = std::max(cur[j][0] + MissScore(j, false),
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cur[j][1] + MissScore(j, true));
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if (low_pat[i] != low_text[j])
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cur[j + 1][1] = kMinScore;
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else {
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// For the first char of pattern, apply extra restriction to filter bad
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// candidates (e.g. |int| in |PRINT|)
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if (low_pat[i] == low_text[j] &&
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(i || text_role[j] != Tail || pat[i] == text[j])) {
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cur[j + 1][1] = std::max(pre[j][0] + MatchScore(i, j, false),
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pre[j][1] + MatchScore(i, j, true));
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}
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} else
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cur[j + 1][1] = kMinScore * 2;
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}
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}
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// Enumerate the end position of the match in str. Each removed trailing
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// character has a penulty.
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int ret = kMinScore;
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for (int j = 1; j <= n; j++)
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for (int j = pat.size(); j <= n; j++)
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ret = std::max(ret, dp[pat.size() & 1][j][1] - 3 * (n - j));
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return ret;
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}
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TEST_SUITE("fuzzy_match") {
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bool Ranks(std::string_view pat, std::vector<const char*> texts) {
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FuzzyMatcher fuzzy(pat);
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std::vector<int> scores;
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for (auto text : texts)
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scores.push_back(fuzzy.Match(text));
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bool ret = true;
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for (size_t i = 0; i < texts.size() - 1; i++)
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if (scores[i] < scores[i + 1]) {
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ret = false;
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break;
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}
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if (1 || !ret) {
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for (size_t i = 0; i < texts.size(); i++)
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printf("%s %d ", texts[i], scores[i]);
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puts("");
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}
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return ret;
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}
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TEST_CASE("test") {
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// case
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Ranks("monad", {"monad", "Monad", "mONAD"});
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// initials
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Ranks("ab", {"ab", "aoo_boo", "acb"});
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Ranks("CC", {"CamelCase", "camelCase", "camelcase"});
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Ranks("cC", {"camelCase", "CamelCase", "camelcase"});
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Ranks("Da.Te", {"Data.Text", "Data.Text.Lazy", "Data.Aeson.Encoding.text"});
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// prefix
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Ranks("is", {"isIEEE", "inSuf"});
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// shorter
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Ranks("ma", {"map", "many", "maximum"});
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Ranks("print", {"printf", "sprintf"});
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// score(PRINT) = kMinScore
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Ranks("int", {"int", "INT", "PRINT"});
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// score(PRINT) > kMinScore
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Ranks("Int", {"int", "INT", "PRINT"});
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}
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}
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@ -11,7 +11,7 @@ public:
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constexpr static int kMaxText = 200;
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// Negative but far from INT_MIN so that intermediate results are hard to
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// overflow.
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constexpr static int kMinScore = INT_MIN / 2;
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constexpr static int kMinScore = INT_MIN / 4;
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FuzzyMatcher(std::string_view pattern);
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int Match(std::string_view text);
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@ -136,7 +136,10 @@ struct WorkspaceSymbolHandler : BaseMessageHandler<Ipc_WorkspaceSymbol> {
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std::sort(permutation.begin(), permutation.end(),
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std::greater<std::pair<int, int>>());
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out.result.reserve(result_indices.size());
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for (int i = 0; i < int(result_indices.size()); i++)
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// Discard awful candidates.
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for (int i = 0; i < int(result_indices.size()) &&
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permutation[i].first > FuzzyMatcher::kMinScore;
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i++)
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out.result.push_back(
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std::move(unsorted_results[permutation[i].second]));
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} else {
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