import java.util.*;

/**
 * Unit test for libreoffice-0001: SavePivotTableXml member-to-cache O(M*C) linear scan.
 *
 * Defect: sc/source/filter/excel/xepivotxml.cxx SavePivotTableXml()
 *   for (member : aMembers)
 *     std::find(aCacheFieldItems.begin(), aCacheFieldItems.end(), member.maName)
 *
 * Fix: build std::unordered_map<OUString, size_t> from aCacheFieldItems once,
 *      then look up each member in O(1).
 *
 * Complexity: O(M*C) -> O(M+C) where M = member count, C = cache item count.
 */
public class LibreOfficePivotMemberLookupTest {

    // --- Defective implementation: std::find equivalent ---
    static int linearFind(List<String> cacheItems, String name) {
        return cacheItems.indexOf(name); // O(C)
    }

    static List<Integer> buildMemberSequenceLinear(List<String> members, List<String> cacheItems) {
        List<Integer> result = new ArrayList<>();
        Set<Integer> used = new HashSet<>();
        for (String member : members) {
            int pos = linearFind(cacheItems, member); // O(C) each -> O(M*C) total
            if (pos >= 0 && used.add(pos)) {
                result.add(pos);
            }
        }
        return result;
    }

    // --- Fixed implementation: unordered_map equivalent ---
    static List<Integer> buildMemberSequenceFixed(List<String> members, List<String> cacheItems) {
        // Build O(1) lookup map once
        Map<String, Integer> indexMap = new HashMap<>(cacheItems.size() * 2);
        for (int i = 0; i < cacheItems.size(); i++) {
            indexMap.put(cacheItems.get(i), i);
        }
        List<Integer> result = new ArrayList<>();
        Set<Integer> used = new HashSet<>();
        for (String member : members) {
            Integer pos = indexMap.get(member); // O(1) each
            if (pos != null && used.add(pos)) {
                result.add(pos);
            }
        }
        return result;
    }

    // --- Benchmark ---
    static long benchmarkLinear(int M, int C) {
        List<String> cacheItems = new ArrayList<>(C);
        for (int i = 0; i < C; i++) cacheItems.add("item_" + i);
        List<String> members = new ArrayList<>(M);
        for (int i = 0; i < M; i++) members.add("item_" + (i % C));

        long start = System.nanoTime();
        buildMemberSequenceLinear(members, cacheItems);
        return System.nanoTime() - start;
    }

    static long benchmarkFixed(int M, int C) {
        List<String> cacheItems = new ArrayList<>(C);
        for (int i = 0; i < C; i++) cacheItems.add("item_" + i);
        List<String> members = new ArrayList<>(M);
        for (int i = 0; i < M; i++) members.add("item_" + (i % C));

        long start = System.nanoTime();
        buildMemberSequenceFixed(members, cacheItems);
        return System.nanoTime() - start;
    }

    public static void main(String[] args) {
        System.out.println("=== libreoffice-0001: SavePivotTableXml pivot member lookup ===");

        // Correctness test: both must produce same result
        {
            List<String> cache = Arrays.asList("alpha", "beta", "gamma", "delta");
            List<String> members = Arrays.asList("gamma", "alpha", "delta", "alpha");
            List<Integer> linearResult = buildMemberSequenceLinear(members, cache);
            List<Integer> fixedResult = buildMemberSequenceFixed(members, cache);
            if (!linearResult.equals(fixedResult)) {
                System.err.println("FAIL: correctness mismatch: linear=" + linearResult + " fixed=" + fixedResult);
                System.exit(1);
            }
            // gamma=2, alpha=0, delta=3 (alpha duplicate skipped)
            List<Integer> expected = Arrays.asList(2, 0, 3);
            if (!linearResult.equals(expected)) {
                System.err.println("FAIL: wrong result: got=" + linearResult + " expected=" + expected);
                System.exit(1);
            }
            System.out.println("PASS: correctness verified, result=" + fixedResult);
        }

        // Missing member test
        {
            List<String> cache = Arrays.asList("x", "y", "z");
            List<String> members = Arrays.asList("y", "missing", "x");
            List<Integer> linearResult = buildMemberSequenceLinear(members, cache);
            List<Integer> fixedResult = buildMemberSequenceFixed(members, cache);
            if (!linearResult.equals(fixedResult)) {
                System.err.println("FAIL: missing-member mismatch");
                System.exit(1);
            }
            System.out.println("PASS: missing-member handled correctly: " + fixedResult);
        }

        // Performance test: M=2000, C=2000
        int M = 2000, C = 2000;
        // Warmup
        for (int w = 0; w < 3; w++) { benchmarkLinear(M/10, C/10); benchmarkFixed(M/10, C/10); }

        long linearNs = benchmarkLinear(M, C);
        long fixedNs = benchmarkFixed(M, C);
        double ratio = (double) linearNs / fixedNs;

        System.out.printf("Linear  M=%d C=%d: %,d ns%n", M, C, linearNs);
        System.out.printf("Fixed   M=%d C=%d: %,d ns%n", M, C, fixedNs);
        System.out.printf("Speedup: %.1fx%n", ratio);

        if (ratio < 3.0) {
            System.err.printf("FAIL: expected >= 3x speedup, got %.1fx%n", ratio);
            System.exit(1);
        }
        System.out.println("PASS: speedup >= 3x");
        System.out.println("PASS: all tests passed");
    }
}