// since most usage will be by language specific wrappers.
//
// Conventions:
// * We use the prefix TF_ for everything in the API.
// * Objects are always passed around as pointers to opaque structs
//   and these structs are allocated/deallocated via the API.
// * TF_Status holds error information.  It is an object type
//   and therefore is passed around as a pointer to an opaque
//   struct as mentioned above.

      "http://localhost/api/foo".toHttpUrl(),
    )
    val requestWithCache =
      Request
        .Builder()
        .url("http://localhost/api")
        .build()
    // cache url object
    requestWithCache.url
    val builtRequestWithCache =
      requestWithCache
        .newBuilder()
        .url("http://localhost/api/foo")
        .build()
    assertThat(builtRequestWithCache.url)

 * the License.
 */

package com.google.common.collect;

import static com.google.common.base.Preconditions.checkArgument;
import static com.google.common.base.Preconditions.checkNotNull;
import static java.util.Objects.requireNonNull;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;

Ainsi, un objet `datetime` doit être converti en une `str` contenant les données au [format ISO](https://en.wikipedia.org/wiki/ISO_8601).

De la même manière, cette base de données n'accepterait pas un modèle Pydantic (un objet avec des attributs), seulement un `dict`.

Vous pouvez utiliser `jsonable_encoder` pour cela.

Elle reçoit un objet, comme un modèle Pydantic, et renvoie une version compatible JSON :

    QUEUING,
    /** runnable has been submitted but has not yet begun execution */
    QUEUED,
    RUNNING,
  }

  /** Underlying executor that all submitted Runnable objects are run on. */
  private final Executor executor;

  @GuardedBy("queue")
  private final Deque<Runnable> queue = new ArrayDeque<>();

  /** see {@link WorkerRunningState} */
  @LazyInit
  @GuardedBy("queue")

  private enum NullEntry implements ReferenceEntry<Object, Object> {
    INSTANCE;

    @Override
    public @Nullable ValueReference<Object, Object> getValueReference() {
      return null;
    }

    @Override
    public void setValueReference(ValueReference<Object, Object> valueReference) {}

    @Override
    public @Nullable ReferenceEntry<Object, Object> getNext() {
      return null;
    }

            return null;
        }

        List<SmbFile> files = new ArrayList<>();
        for (DirectoryCacheEntry.FileInfo fileInfo : entry.getChildren()) {
            try {
                // Create SmbFile objects from cached info
                SmbFile file = createSmbFileFromCache(directoryPath, fileInfo);
                files.add(file);
            } catch (Exception e) {

             * as task inputs and therefore Gradle attempts to snapshot them before/after task execution. This fails due
             * to the GStrings containing references to non-serializable objects.
             *
             * We bypass this by instead passing this system properties vi a CommandLineArgumentProvider. This has the added

/// note | Detalhes Técnicos

Na realidade, `Query`, `Path` e outros que você verá em seguida, criam objetos de subclasses de uma classe `Param` comum, que é ela mesma uma subclasse da classe `FieldInfo` do Pydantic.

E `Field` do Pydantic retorna uma instância de `FieldInfo` também.

`Body` também retorna objetos de uma subclasse de `FieldInfo` diretamente. E tem outras que você verá mais tarde que são subclasses da classe `Body`.

/// note | Detalles técnicos

En realidad, `Query`, `Path` y otros que verás a continuación crean objetos de subclases de una clase común `Param`, que es a su vez una subclase de la clase `FieldInfo` de Pydantic.

Y `Field` de Pydantic también regresa una instance de `FieldInfo`.

`Body` también devuelve objetos de una subclase de `FieldInfo` directamente. Y hay otros que verás más adelante que son subclases de la clase `Body`.