// +protobuf.options.marshal=false
// +protobuf.options.(gogoproto.goproto_stringer)=false
// +k8s:deepcopy-gen=true
// +k8s:openapi-gen=true
message Quantity {
  optional string string = 1;
}

// QuantityValue makes it possible to use a Quantity as value for a command
// line parameter.
//
// +protobuf=true
// +protobuf.embed=string
// +protobuf.options.marshal=false
// +protobuf.options.(gogoproto.goproto_stringer)=false

      runTest();
    } finally {
      tearDown();
    }
  }

  @Override
  protected void tearDown() {
    tearDownStack.runTearDown();
  }

  /** Builds a {@link TearDownStack} that makes sure it's clear by the end of this test. */
  private TearDownStack buildTearDownStack() {
    final TearDownStack result = new TearDownStack();
    tearDownStack.addTearDown(
        new TearDown() {

In GitHub, the template will guide you to write the right question so that you can more easily get a good answer, or even solve the problem yourself even before asking. And in GitHub I can make sure I always answer everything, even if it takes some time. I can't personally do that with the chat systems. 😅

that if active-active replication is set up with delete marker replication, there is potential for duplicate delete markers to be created if both source and target concurrently set a Delete Marker or if one/both of the clusters went down at tandem before the replication event was synced.This is an unavoidable side-effect in active-active replication caused by allowing delete markers set on a object version with `REPLICA` status back to source.

In the case of versioned deletes a.k.a permanent...

 * classes and the classes they depend on. The classes are not relocated, they all
 * remain in their original namespace. This reduces the final Gradle distribution
 * size and makes us more conscious of which parts of a library we really need.
 */
val keepPatterns = mapOf(
    "fastutil" to setOf(
        // For Java compilation incremental analysis
        "it.unimi.dsi.fastutil.ints.IntOpenHashSet",

 *       even on an {@code ImmutableMap<K, @NonNull String>}.
 * </ul>
 *
 * <p>Consumers of this annotation include:
 *
 * <ul>
 *   <li>Kotlin, for which it makes the type-variable usage (a) a Kotlin platform type when the type
 *       argument is non-nullable and (b) nullable when the type argument is nullable. We use this

 *       even on an {@code ImmutableMap<K, @NonNull String>}.
 * </ul>
 *
 * <p>Consumers of this annotation include:
 *
 * <ul>
 *   <li>Kotlin, for which it makes the type-variable usage (a) a Kotlin platform type when the type
 *       argument is non-nullable and (b) nullable when the type argument is nullable. We use this

 *       even on an {@code ImmutableMap<K, @NonNull String>}.
 * </ul>
 *
 * <p>Consumers of this annotation include:
 *
 * <ul>
 *   <li>Kotlin, for which it makes the type-variable usage (a) a Kotlin platform type when the type
 *       argument is non-nullable and (b) nullable when the type argument is nullable. We use this

 *       even on an {@code ImmutableMap<K, @NonNull String>}.
 * </ul>
 *
 * <p>Consumers of this annotation include:
 *
 * <ul>
 *   <li>Kotlin, for which it makes the type-variable usage (a) a Kotlin platform type when the type
 *       argument is non-nullable and (b) nullable when the type argument is nullable. We use this

 *       even on an {@code ImmutableMap<K, @NonNull String>}.
 * </ul>
 *
 * <p>Consumers of this annotation include:
 *
 * <ul>
 *   <li>Kotlin, for which it makes the type-variable usage (a) a Kotlin platform type when the type
 *       argument is non-nullable and (b) nullable when the type argument is nullable. We use this