* through the Java ServiceLoader mechanism and their provided languages will be available
 * throughout the Maven build process.
 * <p>
 * Example usage:
 * <pre>
 * public class CustomLanguageProvider implements LanguageProvider {
 *     public Collection&lt;Language&gt; provides() {
 *         return Collections.singleton(language("kotlin"));
 *     }
 * }

import java.util.logging.LogRecord;
import org.jspecify.annotations.NullMarked;
import org.jspecify.annotations.Nullable;

/**
 * Tests may use this to intercept messages that are logged by the code under test. Example:
 *
 * <pre>
 *   TestLogHandler handler;
 *
 *   protected void setUp() throws Exception {
 *     super.setUp();
 *     handler = new TestLogHandler();
 *     SomeClass.logger.addHandler(handler);

     * a <abbr>JAR</abbr> containing test classes, a POM file, <i>etc.</i>
     */
    @Nonnull
    Type getType();

    /**
     * {@return the time at which the dependency will be used}
     * It may be, for example, at compile time only, at run time, or at test time.
     */
    @Nonnull
    DependencyScope getScope();

    /**
     * Returns whether the dependency is optional, mandatory, or of unspecified obligation.
     *

Por exemplo, se o cliente tentar enviar um parâmetro de consulta `tool` com o valor `plumbus`, como:

```http
https://example.com/items/?limit=10&tool=plumbus
```

Eles receberão um retorno de **erro** informando-os que o parâmentro de consulta `tool` não é permitido:

```json
{
    "detail": [
        {

     *
     * @see DependencyCoordinates#getType()
     */
    @Nonnull
    Type getType();

    /**
     * {@return the time at which the dependency will be used}.
     * It may be, for example, at compile time only, at run time or at test time.
     *
     * @see DependencyCoordinates#getScope()
     */
    @Nonnull
    DependencyScope getScope();

    /**

ip-name: "" # nginx.ingress.kubernetes.io/secure-backends: "true" # nginx.ingress.kubernetes.io/backend-protocol: "HTTPS" # nginx.ingress.kubernetes.io/whitelist-source-range: 0.0.0.0/0 path: / hosts: - minio-example.local tls: [] # - secretName: chart-example-tls # hosts: # - chart-example.local consoleService: type: ClusterIP clusterIP: ~ ## Make sure to match it to minioConsolePort port: "9001" nodePort: 32001 consoleIngress: enabled: false # ingressClassName: "" labels: {} # node-role.kubernetes.io/ingress:...

ip-name: "" # nginx.ingress.kubernetes.io/secure-backends: "true" # nginx.ingress.kubernetes.io/backend-protocol: "HTTPS" # nginx.ingress.kubernetes.io/whitelist-source-range: 0.0.0.0/0 path: / hosts: - minio-example.local tls: [] # - secretName: chart-example-tls # hosts: # - chart-example.local consoleService: type: ClusterIP clusterIP: ~ ## Make sure to match it to minioConsolePort port: "9001" nodePort: 32001 consoleIngress: enabled: false # ingressClassName: "" labels: {} # node-role.kubernetes.io/ingress:...

ip-name: "" # nginx.ingress.kubernetes.io/secure-backends: "true" # nginx.ingress.kubernetes.io/backend-protocol: "HTTPS" # nginx.ingress.kubernetes.io/whitelist-source-range: 0.0.0.0/0 path: / hosts: - minio-example.local tls: [] # - secretName: chart-example-tls # hosts: # - chart-example.local consoleService: type: ClusterIP clusterIP: ~ ## Make sure to match it to minioConsolePort port: "9001" nodePort: 32001 consoleIngress: enabled: false # ingressClassName: "" labels: {} # node-role.kubernetes.io/ingress:...

ip-name: "" # nginx.ingress.kubernetes.io/secure-backends: "true" # nginx.ingress.kubernetes.io/backend-protocol: "HTTPS" # nginx.ingress.kubernetes.io/whitelist-source-range: 0.0.0.0/0 path: / hosts: - chart-example.local tls: [] # - secretName: chart-example-tls # hosts: # - chart-example.local consoleService: type: ClusterIP clusterIP: ~ ## Make sure to match it to minioConsolePort port: "9001" nodePort: 32001 consoleIngress: enabled: false # ingressClassName: "" labels: {} # node-role.kubernetes.io/ingress:...

`user_in`は`UserIn`クラスのPydanticモデルです。

Pydanticモデルには、モデルのデータを含む`dict`を返す`.dict()`メソッドがあります。

そこで、以下のようなPydanticオブジェクト`user_in`を作成すると:

```Python
user_in = UserIn(username="john", password="secret", email="john.doe@example.com")
```

そして呼び出すと:

```Python
user_dict = user_in.dict()
```

これで変数`user_dict`のデータを持つ`dict`ができました。（これはPydanticモデルのオブジェクトの代わりに`dict`です）。

そして呼び出すと:

```Python
print(user_dict)
```