AtomicReferenceArray<ReferenceEntry<Object, Object>> table = segment.table;
    int index = hash & (table.length() - 1);

    // already loading
    DummyEntry<Object, Object> entry = DummyEntry.create(key, hash, null);
    DummyValueReference<Object, Object> valueRef = DummyValueReference.create(null);
    valueRef.setLoading(true);
    entry.setValueReference(valueRef);
    table.set(index, entry);

    AtomicReferenceArray<ReferenceEntry<Object, Object>> table = segment.table;
    int index = hash & (table.length() - 1);

    // already loading
    DummyEntry<Object, Object> entry = DummyEntry.create(key, hash, null);
    DummyValueReference<Object, Object> valueRef = DummyValueReference.create(null);
    valueRef.setLoading(true);
    entry.setValueReference(valueRef);
    table.set(index, entry);

The `Hero` class is very similar to a Pydantic model (in fact, underneath, it actually *is a Pydantic model*).

There are a few differences:

* `table=True` tells SQLModel that this is a *table model*, it should represent a **table** in the SQL database, it's not just a *data model* (as would be any other regular Pydantic class).

    int result = 0;
    for (Segment<K, V, ?, ?> segment : map.segments) {
      AtomicReferenceArray<? extends InternalEntry<K, V, ?>> table = segment.table;
      for (int i = 0; i < table.length(); i++) {
        for (InternalEntry<K, V, ?> e = table.get(i); e != null; e = e.getNext()) {
          if (map.isLiveForTesting(e)) {
            result++;
          }
        }
      }
    }

    int result = 0;
    for (Segment<K, V, ?, ?> segment : map.segments) {
      AtomicReferenceArray<? extends InternalEntry<K, V, ?>> table = segment.table;
      for (int i = 0; i < table.length(); i++) {
        for (InternalEntry<K, V, ?> e = table.get(i); e != null; e = e.getNext()) {
          if (map.isLiveForTesting(e)) {
            result++;
          }
        }
      }
    }

| `license_info` | `dict` | Информация о лицензии открытого API. Может содержать несколько полей. <details><summary>поля <code>license_info</code></summary><table><thead><tr><th>Параметр</th><th>Тип</th><th>Описание</th></tr></thead><tbody><tr><td><code>name</code></td><td><code>str</code></td><td><strong>ОБЯЗАТЕЛЬНО</strong>...

    In this case, it's a list of `Item` dataclasses.

6. Here we are returning a dictionary that contains `items` which is a list of dataclasses.

    FastAPI is still capable of <abbr title="converting the data to a format that can be transmitted">serializing</abbr> the data to JSON.

7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.

| `license_info` | `dict` | As informações de licença para a API exposta. Ela pode conter vários campos. <details><summary>Campos de <code>license_info</code></summary><table><thead><tr><th>Parâmetro</th><th>Tipo</th><th>Descrição</th></tr></thead><tbody><tr><td><code>name</code></td><td><code>str</code></td><td><strong>OBRIGATÓRIO</strong>...

| `license_info` | `dict` | Die Lizenzinformationen für die freigegebene API. Kann mehrere Felder enthalten. <details><summary><code>license_info</code>-Felder</summary><table><thead><tr><th>Parameter</th><th>Typ</th><th>Beschreibung</th></tr></thead><tbody><tr><td><code>name</code></td><td><code>str</code></td><td><strong>E...

| `license_info` | `dict` | La información de la licencia para la API expuesta. Puede contener varios campos. <details><summary><code>license_info</code> fields</summary><table><thead><tr><th>Parámetro</th><th>Tipo</th><th>Descripción</th></tr></thead><tbody><tr><td><code>name</code></td><td><code>str</code></td><td><strong>REQUERIDO</strong>...