ctx context.Context
}

func (w *writerWrapper) Write(p []byte) (n int, err error) {
	buf := GetByteBufferCap(len(p))
	buf = buf[:len(p)]
	copy(buf, p)
	select {
	case w.ch <- buf:
		return len(p), nil
	case <-w.ctx.Done():
		return 0, context.Cause(w.ctx)
	}
}

// WriterToChannel will return an io.Writer that writes to the given channel.

	m.Set(driveFreeInodes, float64(drive.FreeInodes), labels...)
	m.Set(driveTotalInodes, float64(drive.UsedInodes+drive.FreeInodes), labels...)

	var health float64
	switch drive.Healing {
	case true:
		health = driveHealthHealing
	case false:
		if drive.State == "ok" {
			health = driveHealthOnline
		} else {
			health = driveHealthOffline
		}
	}
	m.Set(driveHealth, health, labels...)
}

	switch t := object.(type) {
	case *gatewayapi.Gateway:
		if !gateway.IsManaged(&t.Spec) {
			return "", nil, fmt.Errorf("gateway is not a managed gateway")
		}
		namespace = t.Namespace
		selector, err = labels.Parse(label.IoK8sNetworkingGatewayGatewayName.Name + "=" + t.Name)
	case *gatewayapibeta.Gateway:
		if !gateway.IsManaged(&t.Spec) {

This way, you don't have to know beforehand what the valid field/attribute names are (as would be the case with Pydantic models).

This would be useful if you want to receive keys that you don't already know.

---

Another useful case is when you want to have keys of another type (e.g., `int`).

That's what we are going to see here.

In this case, you would accept any `dict` as long as it has `int` keys with `float` values:

                    this.masterKey = ntlm2SessionKey;
                }
            }
            break;
        case 2:
            byte[] nt = getNTResponse(tc, type2, passwordHash);
            setLMResponse(nt);
            setNTResponse(nt);
            break;
        case 3:
        case 4:
        case 5:
            byte[] ntlmClientChallengeInfo = type2.getTargetInformation();

    assertThat(getCausalChain(ex)).containsExactly(ex, re, iae, sue).inOrder();
    assertSame(sue, Iterables.getOnlyElement(getCausalChain(sue)));

    List<Throwable> causes = getCausalChain(ex);
    assertThrows(UnsupportedOperationException.class, () -> causes.add(new RuntimeException()));
  }

  public void testGetCasualChainNull() {
    assertThrows(NullPointerException.class, () -> getCausalChain(null));
  }

    }
  }

  @Override
  public ImmutableMap<C, Map<R, V>> columnMap() {
    // Casts without copying.
    ImmutableMap<C, ImmutableMap<R, V>> columnMap = this.columnMap;
    return ImmutableMap.<C, Map<R, V>>copyOf(columnMap);
  }

  @Override
  public ImmutableMap<R, Map<C, V>> rowMap() {
    // Casts without copying.
    ImmutableMap<R, ImmutableMap<C, V>> rowMap = this.rowMap;

     * @param count the number of misses to record
     * @since 11.0
     */
    void recordMisses(int count);

    /**
     * Records the successful load of a new entry. This should be called when a cache request causes
     * an entry to be loaded, and the loading completes successfully. In contrast to {@link
     * #recordMisses}, this method should only be called by the loading thread.
     *

# Codificador Compatível com JSON

Existem alguns casos em que você pode precisar converter um tipo de dados (como um modelo Pydantic) para algo compatível com JSON (como um `dict`, `list`, etc).

Por exemplo, se você precisar armazená-lo em um banco de dados.

Para isso, **FastAPI** fornece uma função `jsonable_encoder()`.

## Usando a função `jsonable_encoder`

 * under the License.
 */
package org.apache.maven.model.building;

/**
 * The transformerContextBuilder is responsible for initializing the TransformerContext.
 * In case rawModels are missing, it could do new buildingRequests on the ModelBuilder.
 *
 * @since 4.0.0
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")