// operation succeeded.
func (h *healSequence) pushHealResultItem(r madmin.HealResultItem) error {
	// start a timer to keep an upper time limit to find an empty
	// slot to add the given heal result - if no slot is found it
	// means that the server is holding the maximum amount of
	// heal-results in memory and the client has not consumed it
	// for too long.

    //     fgha[c]|[b]de -> fgha[b]|[c]de. Because these two blocks are the same size, we are done.
    // The Dolphin algorithm is attractive because it does the fewest array reads and writes: each
    // array slot is read and written exactly once. However, it can have very poor memory locality:
    // benchmarking shows it can take 7 times longer than the other two in some cases. The other two

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

      }
    }.test();
  }

  @GwtIncompatible // slow (~5s)
  public void testConcatNoIteratorsYieldsEmpty() {
    new EmptyIteratorTester() {
      @Override
      protected Iterator<Integer> newTargetIterator() {
        return Iterators.concat();
      }
    }.test();
  }

  @GwtIncompatible // slow (~5s)
  public void testConcatOneEmptyIteratorYieldsEmpty() {

      }
    }.test();
  }

  @GwtIncompatible // slow (~5s)
  public void testConcatNoIteratorsYieldsEmpty() {
    new EmptyIteratorTester() {
      @Override
      protected Iterator<Integer> newTargetIterator() {
        return Iterators.concat();
      }
    }.test();
  }

  @GwtIncompatible // slow (~5s)
  public void testConcatOneEmptyIteratorYieldsEmpty() {

    assertThrows(IllegalArgumentException.class, () -> LinkedHashMultimap.create(20, -15));
  }

  @GwtIncompatible // unreasonably slow
  public void testGetIteration() {
    new IteratorTester<Integer>(
        6,
        MODIFIABLE,
        newLinkedHashSet(asList(2, 3, 4, 7, 8)),
        IteratorTester.KnownOrder.KNOWN_ORDER) {

    assertTrue(multimap.containsEntry("bar", 3));
    assertEquals(4, (int) entrya.getValue());
    assertEquals(3, (int) entryb.getValue());
  }

  @GwtIncompatible // unreasonably slow
  public void testEntriesIteration() {
    List<Entry<String, Integer>> addItems =
        ImmutableList.of(
            immutableEntry("foo", 99), immutableEntry("foo", 88), immutableEntry("bar", 77));

* Email notifications sent after performing an action:
    * As connecting to an email server and sending an email tends to be "slow" (several seconds), you can return the response right away and send the email notification in the background.
* Processing data:
    * For example, let's say you receive a file that must go through a slow process, you can return a response of "Accepted" (HTTP 202) and process the file in the background.

## Using `BackgroundTasks`

    assertSame(immutable, Multimaps.unmodifiableMultimap(immutable));
    assertSame(immutable, Multimaps.unmodifiableMultimap((Multimap<String, Integer>) immutable));
  }

  @GwtIncompatible // slow (~10s)
  public void testUnmodifiableArrayListMultimap() {
    checkUnmodifiableMultimap(
        ArrayListMultimap.<@Nullable String, @Nullable Integer>create(), true);
  }

  @J2ktIncompatible

        the<JavaPluginExtension>().toolchain {
            // if you change this java version please also consider changing .idea/misc.xml#project/component(@project-jdk-name}
            // Also, there are a lot of other places this should be changed.
            languageVersion = JavaLanguageVersion.of(17)
            vendor = JvmVendorSpec.ADOPTIUM
        }
    }