## ঐচ্ছিক নির্ভরশীলতা

Pydantic দ্বারা ব্যবহৃত:

- <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - ইমেল যাচাইকরণের জন্য।

স্টারলেট দ্বারা ব্যবহৃত:

- <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - আপনি যদি `TestClient` ব্যবহার করতে চান তাহলে আবশ্যক।

## Opcionális követelmények

Pydantic által használt:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - e-mail validációkra.
* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - Beállítások követésére.

## Dependencias Opcionales

Usadas por Pydantic:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - para validación de emails.

Usados por Starlette:

* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Requerido si quieres usar el `TestClient`.

    for (LoadingCache<Object, Object> cache : caches()) {
      cache.getUnchecked(1);
      Entry<Object, Object> entry = Iterables.getOnlyElement(cache.asMap().entrySet());

      cache.invalidate(1);
      assertEquals(0, cache.size());

      entry.setValue(3);
      assertEquals(1, cache.size());
      assertEquals(3, cache.getIfPresent(1));
      checkValidState(cache);

     * during artifact resolution, {@link #VALIDATION_LEVEL_MINIMAL} should be used to account for models of poor
     * quality. By default, models are validated in strict mode.
     *
     * @param validationLevel The level of validation to perform on processed models.
     * @return This request, never {@code null}.
     */

errors.header = <ul class="has-error">
errors.footer = </ul>
errors.prefix = <li><i class="fa fa-exclamation-circle"></i>
errors.suffix = </li>
# ----------------------------------------------------------
# Javax Validator
# ---------------
constraints.AssertFalse.message = {item} は false にしてください。
constraints.AssertTrue.message = {item} は true にしてください。
constraints.DecimalMax.message = {item} は {value} より小さくしてください。

Isso também significa que em muitos casos você poderá passar o mesmo objeto que você receber de uma requisição **diretamente para o banco de dados**, já que tudo é validado automaticamente.

O mesmo se aplica no sentido inverso, em muitos casos você poderá simplesmente passar o objeto que você recebeu do banco de dados **diretamente para o cliente**.

    return (totalLoadCount == 0) ? 0.0 : (double) totalLoadTime / totalLoadCount;
  }

  /**
   * Returns the number of times an entry has been evicted. This count does not include manual
   * {@linkplain Cache#invalidate invalidations}.
   */
  public long evictionCount() {
    return evictionCount;
  }

  /**
   * Returns a new {@code CacheStats} representing the difference between this {@code CacheStats}

    return (totalLoadCount == 0) ? 0.0 : (double) totalLoadTime / totalLoadCount;
  }

  /**
   * Returns the number of times an entry has been evicted. This count does not include manual
   * {@linkplain Cache#invalidate invalidations}.
   */
  public long evictionCount() {
    return evictionCount;
  }

  /**
   * Returns a new {@code CacheStats} representing the difference between this {@code CacheStats}

* `secret_name`

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[7:18] hl[17:18] *}

#### `HeroCreate` - o *modelo de dados* para criar um hero

Agora criamos um modelo `HeroCreate`, este é o que **validará** os dados dos clientes.

Ele tem os mesmos campos que `HeroBase`, e também tem `secret_name`.