/**
 * A descriptor for a <i>discrete</i> {@code Comparable} domain such as all {@link Integer}
 * instances. A discrete domain is one that supports the three basic operations: {@link #next},
 * {@link #previous} and {@link #distance}, according to their specifications. The methods {@link
 * #minValue} and {@link #maxValue} should also be overridden for bounded types.
 *

/**
 * A descriptor for a <i>discrete</i> {@code Comparable} domain such as all {@link Integer}
 * instances. A discrete domain is one that supports the three basic operations: {@link #next},
 * {@link #previous} and {@link #distance}, according to their specifications. The methods {@link
 * #minValue} and {@link #maxValue} should also be overridden for bounded types.
 *

 * resulting {@link HashCode} is dependent only on the bytes inserted, and the order in which they
 * were inserted, not how those bytes were chunked into discrete put() operations. For example, the
 * following three expressions all generate colliding hash codes:
 *
 * {@snippet :
 * newHasher().putByte(b1).putByte(b2).putByte(b3).hash()

 * rangeSet.remove(Range.open(5, 10)); // splits [1, 10]; {[1, 5], [10, 10], [11, 20)}
 * }
 *
 * <p>Note that the behavior of {@link Range#isEmpty()} and {@link Range#isConnected(Range)} may not
 * be as expected on discrete ranges. See the Javadoc of those methods for details.
 *
 * <p>For a {@link Set} whose contents are specified by a {@link Range}, see {@link ContiguousSet}.
 *
 * <p>See the Guava User Guide article on <a href=

Mas quando você usa `example` ou `examples` com qualquer um dos outros utilitários (`Query()`, `Body()`, etc.) esses exemplos não são adicionados ao JSON Schema que descreve esses dados (nem mesmo para versão própria do OpenAPI do JSON Schema), eles são adicionados diretamente à declaração da *operação de rota* no OpenAPI (fora das partes do OpenAPI que usam o JSON Schema).

						// Upon an error on watch channel
						// re-init the watch channel.
						goto outerLoop
					}
					for _, event := range watchResp.Events {
						isCreateEvent := event.IsModify() || event.IsCreate()
						isDeleteEvent := event.Type == etcd.EventTypeDelete

						switch {
						case isCreateEvent:
							ch <- iamWatchEvent{
								isCreated: true,
								keyPath:   string(event.Kv.Key),
							}

        tf.math.invert_permutation.
    *   Add `tf.math.sobol_sample` op.
    *   Add `tf.math.xlog1py`.
    *   Add `tf.math.special.{dawsn,expi,fresnel_cos,fresnel_sin,spence}`.
    *   Add a Modified Discrete Cosine Transform (MDCT) and its inverse to
        `tf.signal`.
*   TPU Enhancements:
    *   Refactor `TpuClusterResolver` to move shared logic to a separate pip
        package.