netServer := fixture.netServer
	err := netServer.syncHostIPSets([]*corev1.Pod{pod})
	assert.NoError(t, err)
	fakeIPSetDeps.AssertExpectations(t)
}

// for tests that call `runtime.GC()` - we have no control over when the GC is actually scheduled,
// and it is flake-prone to check for closure after calling it, this retries for a bit to make
// sure the netns is closed eventually.
func assertNSClosed(t *testing.T, closed *atomic.Bool) {

      }
    }

    return fromMapEntries(multimap.asMap().entrySet(), null);
  }

  /**
   * Returns an immutable multimap containing the specified entries. The returned multimap iterates
   * over keys in the order they were first encountered in the input, and the values for each key
   * are iterated in the order they were encountered.
   *
   * @throws NullPointerException if any key, value, or entry is null

				}
			}
		}(index, disk)
	}
	wg.Wait()

	// Reduce errors for each object
	for objIndex := range objects {
		diskErrs := make([]error, len(storageDisks))
		// Iterate over disks to fetch the error
		// of deleting of the current object
		for i := range delObjErrs {
			// delObjErrs[i] is not nil when disks[i] is also not nil
			if delObjErrs[i] != nil {

      super.addAll(elements);
      return this;
    }

    /**
     * If the specified collection is backed by an ObjectCountHashMap, it will be much more
     * efficient to iterate over it by index rather than an entry iterator, which will need to
     * allocate an object for each entry, so we check for that.
     */
    @CheckForNull
    static <T> ObjectCountHashMap<T> tryGetMap(Iterable<T> multiset) {

And of course, the same machine would probably have **other processes** running as well, apart from your application.

An interesting detail is that the percentage of the **CPU used** by each process can **vary** a lot over time, but the **memory (RAM)** normally stays more or less **stable**.

		if err != nil {
			b.Fatal(err)
		}
	}

	b.ResetTimer()

	// List the buckets over and over and over.
	for i := 0; i < b.N; i++ {
		_, err = obj.ListObjects(context.Background(), bucket, "", "obj9000", "", -1)
		if err != nil {
			b.Fatal(err)
		}
	}

	// resolution on versioned buckets, this is to be only
	// used when o.Versioned is false
	if !o.Versioned {
		resolver.requestedVersions = 1
	}
	var limit int
	if o.Limit > 0 && o.StopDiskAtLimit {
		// Over-read by 4 + 1 for every 16 in limit to give some space for resolver,
		// allow for truncating the list and know if we have more results.
		limit = o.Limit + 4 + (o.Limit / 16)
	}
	ctxDone := ctx.Done()

      }
    }

    return fromMapEntries(multimap.asMap().entrySet(), valueComparator);
  }

  /**
   * Returns an immutable multimap containing the specified entries. The returned multimap iterates
   * over keys in the order they were first encountered in the input, and the values for each key
   * are iterated in the order they were encountered. If two values for the same key are {@linkplain

# errors.
# There is ongoing work on Bazel team's side to provide support for transitive
# shared libraries. As part of migrating to transitive shared libraries, we
# hope to provide a better mechanism for control over symbol exporting, and
# then tackle this issue again.
#
# TODO: Remove the following two lines once TF doesn't depend on Bazel wrapping
# all library archives in -whole_archive -no_whole_archive.

The **good news** is that with each different strategy there's a way to cover all of the deployment concepts. 🎉

Let's review these **deployment concepts** in terms of containers:

* HTTPS
* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory