// Initialize QueryFieldConfig
        QueryFieldConfig queryFieldConfig = new QueryFieldConfig();
        queryFieldConfig.init();
        ComponentUtil.register(queryFieldConfig, "queryFieldConfig");

        // Initialize QueryParser
        QueryParser queryParser = new QueryParser();
        queryParser.init();
        ComponentUtil.register(queryParser, "queryParser");

        // Initialize QueryProcessor

  }

  ExplicitOrdering(ImmutableMap<T, Integer> rankMap) {
    this.rankMap = rankMap;
  }

  @Override
  public int compare(T left, T right) {
    return rank(left) - rank(right); // safe because both are nonnegative
  }

  private int rank(T value) {
    Integer rank = rankMap.get(value);
    if (rank == null) {
      throw new IncomparableValueException(value);
    }
    return rank;

import jcifs.smb1.util.LogStream;

abstract class SmbComNtTransactionResponse extends SmbComTransactionResponse {

    SmbComNtTransactionResponse() {
    }

    @Override
    int readParameterWordsWireFormat(final byte[] buffer, int bufferIndex) {
        final int start = bufferIndex;

        buffer[bufferIndex] = (byte) 0x00; // Reserved
        bufferIndex++;
        buffer[bufferIndex++] = (byte) 0x00; // Reserved

# JSON-kompatibler Encoder

Es gibt Fälle, da möchten Sie einen Datentyp (etwa ein Pydantic-Modell) in etwas konvertieren, das kompatibel mit JSON ist (etwa ein `dict`, eine `list`e, usw.).

Zum Beispiel, wenn Sie es in einer Datenbank speichern möchten.

Dafür bietet **FastAPI** eine Funktion `jsonable_encoder()`.

## `jsonable_encoder` verwenden

Stellen wir uns vor, Sie haben eine Datenbank `fake_db`, die nur JSON-kompatible Daten entgegennimmt.

      case LAST_BEFORE:
        if (list.contains(key)) {
          assertEquals(list.indexOf(key) - 1, answer);
          return;
        }
        break;
    }
    // key is not present
    int nextHigherIndex = list.size();
    for (int i = list.size() - 1; i >= 0 && list.get(i) > key; i--) {
      nextHigherIndex = i;
    }
    switch (absentBehavior) {
      case NEXT_LOWER:
        assertEquals(nextHigherIndex - 1, answer);

                    CompactHashSet<String> set = CompactHashSet.create(asList(elements));
                    for (int i = 0; i < 100; i++) {
                      set.add("extra" + i);
                    }
                    for (int i = 0; i < 100; i++) {
                      set.remove("extra" + i);
                    }
                    set.trimToSize();
                    return set;

        final Map<String, Object> searchBody = new HashMap<>();
        String response = checkGetMethod(searchBody, "").asString();
        final int total = JsonPath.from(response).getInt("response.total");
        final List<Map<String, String>> dicts = JsonPath.from(response).getList("response.settings");
        final int status = JsonPath.from(response).getInt("response.status");
        assertEquals(total, dicts.size());
        assertEquals(0, status);
    }

    return ImmutableSet.of(singleValue);
  }

  @Override
  @J2ktIncompatible
  @GwtIncompatible
    Object writeReplace() {
    return SerializedForm.create(this, new int[] {0}, new int[] {0});
  }

            Object[] array = s.toArray();
            for (int i = 0; i < 2; i++) {
                assertEquals(values[i], array[i]);
            }
        });
    }

    public void test_ofNull() {
        assertEquals(0, (int) StreamUtil.stream().get(s -> s.toArray().length));
        Object[] o = {};
        assertEquals(0, (int) StreamUtil.stream(o).get(s -> s.toArray().length));

    // Add small multiples of MIN_VALUE and MIN_NORMAL
    for (int scale = 1; scale <= 4; scale++) {
      for (double d : Doubles.asList(Double.MIN_VALUE, Double.MIN_NORMAL)) {
        fractionalBuilder.add(d * scale).add(-d * scale);
      }
    }
    for (int i = Double.MIN_EXPONENT; i <= Double.MAX_EXPONENT; i++) {
      for (int direction : new int[] {1, -1}) {