* ({@value #JAR} or {@value #CLASSPATH_JAR} types), then the test artifact will also be placed on the class path.
     * Otherwise, if the main artifact is placed on the module path ({@value #JAR} or {@value #MODULAR_JAR} types),
     * then the test artifact will be added using {@code --patch-module} option.
     */
    String TEST_JAR = "test-jar";

# @format

name: Issue Workflow

on:
  issues:
    types:
      - opened

jobs:
  add-to-project:
    name: Add issue to project
    runs-on: ubuntu-latest
    steps:
      - uses: actions/add-to-project@v0.5.0
        with:
          project-url: https://github.com/orgs/miniohq/projects/2

Par exemple, vous ne pouvez pas mettre un modèle Pydantic dans une `JSONResponse` sans d'abord le convertir en un `dict` avec tous les types de données (comme `datetime`, `UUID`, etc.) convertis en types compatibles avec JSON.

Pour ces cas, vous pouvez spécifier un appel à `jsonable_encoder` pour convertir vos données avant de les passer à une réponse :

import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.annotations.Nullable;

/**
 * Base interface for service requests in Maven. This interface defines the common contract
 * for all request types within the Maven service layer, providing access to session context
 * and request tracing capabilities.
 *
 * <p>Each request is associated with a {@link ProtoSession} that contains the configuration

Por exemplo, você não pode colocar um modelo do Pydantic em uma `JSONResponse` sem antes convertê-lo em um `dict` com todos os tipos de dados (como `datetime`, `UUID`, etc) convertidos para tipos compatíveis com JSON.

Para esses casos, você pode usar o `jsonable_encoder` para converter seus dados antes de repassá-los para a resposta:

     *
     * @param paramTypes
     *            array of parameter types
     * @param args
     *            array of arguments
     * @param adjustNumber
     *            if {@literal true}, converts arguments to match number types if necessary
     * @return {@literal true} if the arguments are suitable for the parameter types
     */

/**
 * Utility class for calculating and verifying PAC (Privilege Attribute Certificate) message authentication codes.
 * This class provides methods for computing MACs using various Kerberos encryption types including
 * ARCFOUR-HMAC-MD5 and AES-based HMAC algorithms.
 */
public class PacMac {

    /**
     * Private constructor to prevent instantiation of utility class.
     */
    private PacMac() {

     */
    private static final ObjectInputFilter DEFAULT_FILTER = filterInfo -> {
        final Class<?> serialClass = filterInfo.serialClass();
        if (serialClass == null) {
            return ObjectInputFilter.Status.UNDECIDED;
        }

        final String className = serialClass.getName();

        // Allow primitive types and their wrappers

And these models are all sharing a lot of the data and duplicating attribute names and types.

We could do better.

We can declare a `UserBase` model that serves as a base for our other models. And then we can make subclasses of that model that inherit its attributes (type declarations, validation, etc).

     *
     * @param labelTypeList The list of label types.
     */
    public void refresh(final List<LabelType> labelTypeList) {
        buildLabelTypeItems(labelTypeList);
        buildLabelTypePatternList(labelTypeList);
    }

    /**
     * Builds a list of label type items.
     *
     * @param labelTypeList The list of label types.
     */