public class DefaultArtifactDeployer extends AbstractLogEnabled implements ArtifactDeployer {

    @Inject
    private RepositorySystem repoSystem;

    @Inject
    private LegacySupport legacySupport;

    private Map<Object, MergeableMetadata> relatedMetadata = new ConcurrentHashMap<>();

    /**
     * @deprecated we want to use the artifact method only, and ensure artifact.file is set
     *             correctly.
     */
    @Deprecated

!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(ie,e){"use strict";var oe=[],r=Object.getPrototypeOf,ae=oe.slice,g=oe.flat?function(e){return oe.flat.call(e)}:function(e){return oe.concat.apply([...

For example, you could want to **return a dictionary** or a database object, but **declare it as a Pydantic model**. This way the Pydantic model would do all the data documentation, validation, etc. for the object that you returned (e.g. a dictionary or database object).

Por exemplo, você pode querer **retornar um dicionário** ou um objeto de banco de dados, mas **declará-lo como um modelo Pydantic**. Dessa forma, o modelo Pydantic faria toda a documentação de dados, validação, etc. para o objeto que você retornou (por exemplo, um dicionário ou objeto de banco de dados).

      else -> Log.DEBUG
    }

object AndroidLogHandler : Handler() {
  override fun publish(record: LogRecord) {
    androidLog(record.loggerName, record.androidLevel, record.message, record.thrown)
  }

  override fun flush() {
  }

  override fun close() {
  }
}

@SuppressSignatureCheck
object AndroidLog {
  private const val MAX_LOG_LENGTH = 4000

        .protocol(Protocol.HTTP_1_1)
        .message("OK")
        .code(200)
        .body(
          object : ResponseBody() {
            override fun contentType() = null

            override fun contentLength() = -1L

            override fun source() =
              object : ForwardingSource(Buffer()) {
                override fun close() {
                  responseClosed = true
                }

 * EquivalenceTester.of(someStringEquivalence)
 *     .addEquivalenceGroup("hello", "h" + "ello")
 *     .addEquivalenceGroup("world", "wor" + "ld")
 *     .test();
 * }
 *
 * <p>Note that testing {@link Object#equals(Object)} is more simply done using the {@link
 * EqualsTester}. It includes an extra test against an instance of an arbitrary class without having
 * to explicitly add another equivalence group.
 *
 * @author Gregory Kick

   * this feature.
   */
  KNOWN_ORDER,

  /**
   * Indicates that a collection has a different {@link Object#toString} representation than most
   * collections. If not specified, the collection tests will examine the value returned by {@link
   * Object#toString}.
   */
  NON_STANDARD_TOSTRING,

  /**
   * Indicates that the constructor or factory method of a collection, usually an immutable set,

 * interrupted and cancelled if it times out.
 */
@J2ktIncompatible
@GwtIncompatible
final class TimeoutFuture<V extends @Nullable Object> extends FluentFuture.TrustedFuture<V> {
  static <V extends @Nullable Object> ListenableFuture<V> create(
      ListenableFuture<V> delegate,
      long time,
      TimeUnit unit,
      ScheduledExecutorService scheduledExecutor) {

```

///

Importe `TestClient`.

Crie um `TestClient` passando seu aplicativo **FastAPI** para ele.

Crie funções com um nome que comece com `test_` (essa é a convenção padrão do `pytest`).

Use o objeto `TestClient` da mesma forma que você faz com `httpx`.

Escreva instruções `assert` simples com as expressões Python padrão que você precisa verificar (novamente, `pytest` padrão).