*       <i>deeply</i> immutable.
 * </ul>
 *
 * <h4>Performance notes</h4>
 *
 * <ul>
 *   <li>Implementations can be generally assumed to prioritize memory efficiency, then speed of
 *       access, and lastly speed of creation.
 *   <li>The {@code copyOf} methods will sometimes recognize that the actual copy operation is
 *       unnecessary; for example, {@code copyOf(copyOf(anArrayList))} should copy the data only

 *       <i>deeply</i> immutable.
 * </ul>
 *
 * <h4>Performance notes</h4>
 *
 * <ul>
 *   <li>Implementations can be generally assumed to prioritize memory efficiency, then speed of
 *       access, and lastly speed of creation.
 *   <li>The {@code copyOf} methods will sometimes recognize that the actual copy operation is
 *       unnecessary; for example, {@code copyOf(copyOf(anArrayList))} should copy the data only

import java.math.BigInteger;
import org.jspecify.annotations.Nullable;

/**
 * A wrapper class for unsigned {@code int} values, supporting arithmetic operations.
 *
 * <p>In some cases, when speed is more important than code readability, it may be faster simply to
 * treat primitive {@code int} values as unsigned, using the methods from {@link UnsignedInts}.
 *
 * <p>See the Guava User Guide article on <a

    hashFunctions[0] = Murmur3_128HashFunction.GOOD_FAST_HASH_128;
    int seed = GOOD_FAST_HASH_SEED;
    for (int i = 1; i < hashFunctionsNeeded; i++) {
      seed += 1500450271; // a prime; shouldn't matter
      hashFunctions[i] = murmur3_128(seed);
    }
    return new ConcatenatedHashFunction(hashFunctions);
  }

  /**

      for (int i = delegateIndex; i < delegates.size(); i++) {
        if (delegates.get(i).setFuture(inputFuture)) {
          recordCompletion();
          // this is technically unnecessary, but should speed up later accesses
          delegateIndex = i + 1;
          return;
        }
      }
      // If all the delegates were complete, no reason for the next listener to have to

          long denominator = 1;

          int numeratorBits = nBits;
          // This is an upper bound on log2(numerator, ceiling).

          /*
           * We want to do this in long math for speed, but want to avoid overflow. We adapt the
           * technique previously used by BigIntegerMath: maintain separate numerator and
           * denominator accumulators, multiplying the fraction into result when near overflow.

    assertThat(request.headers["If-Modified-Since"]).isNull()
  }

  private fun assertClientSuppliedCondition(
    seed: MockResponse,
    conditionName: String,
    conditionValue: String,
  ): RecordedRequest {
    server.enqueue(
      seed
        .newBuilder()
        .body("A")
        .build(),
    )
    server.enqueue(
      MockResponse
        .Builder()

     */
    public List<String> getWordList(final SearchRequestType searchRequestType, final String seed, final String[] tags, final String[] roles,
            final String[] fields, final String[] excludes) {
        final String baseSeed = seed != null ? seed : fessConfig.getSuggestPopularWordSeed();
        final String[] baseTags = tags != null ? tags : fessConfig.getSuggestPopularWordTagsAsArray();

      long seed = insertRandomly(elements, q);
      while (!q.isEmpty()) {
        elements.add(0, q.pollLast());
      }
      assertEqualsUsingSeed(seed, expected, elements);
    }
  }

  public void testCorrectOrdering_randomAccess() {
    long seed = new Random().nextLong();
    Random random = new Random(seed);
    PriorityQueue<Integer> control = new PriorityQueue<>();

        assertEquals(result1, result2);
    }

    public void test_getCacheKey_nullSeed() {
        String seed = null;
        String[] tags = { "tag1" };
        String[] roles = { "role1" };
        String[] fields = { "field1" };
        String[] excludes = { "exclude1" };

        String result = popularWordHelper.getCacheKey(seed, tags, roles, fields, excludes);