const hits, misses = 1023, 1

	benchMap(b, bench{
		setup: func(_ *testing.B, m mapInterface) {
			for i := 0; i < hits; i++ {
				m.LoadOrStore(i, i)
			}
			// Prime the map to get it into a steady state.
			for i := 0; i < hits*2; i++ {
				m.Load(i % hits)
			}
		},

		perG: func(b *testing.B, pb *testing.PB, i int, m mapInterface) {
			for ; pb.Next(); i++ {
				m.Load(i % (hits + misses))
			}

 *
 * <p>To use this class the concrete subclass must implement the {@link
 * IteratorTester#newTargetIterator()} method. This is because it's impossible to test an Iterator
 * without changing its state, so the tester needs a steady supply of fresh Iterators.
 *
 * <p>If your iterator supports modification through {@code remove()}, you may wish to override the
 * verify() method, which is called after each sequence and is guaranteed to be called

 *
 * <p>To use this class the concrete subclass must implement the {@link
 * IteratorTester#newTargetIterator()} method. This is because it's impossible to test an Iterator
 * without changing its state, so the tester needs a steady supply of fresh Iterators.
 *
 * <p>If your iterator supports modification through {@code remove()}, you may wish to override the
 * verify() method, which is called after each sequence and is guaranteed to be called

		}
	}

	// We have 3 major flows to handle:
	// 1. kubelet running, normal allocation (needed > 0, container being  [re]created). Steady state and most common case by far and large.
	// 2. kubelet restart. In this scenario every other component of the stack (device plugins, app container, runtime) is still running.

#### Endpoints

Endpoints have an optimized code path, as they are by far the most frequently updated resource - in a steady cluster, this will often be the *only* change, caused by scale up/down.

		// (so it would be made more efficient by promoting the dirty
		// map to read-only).
		// Count it as a miss so that we will eventually switch to the
		// more efficient steady state.
		m.missLocked()
	}
	return swapped
}

// CompareAndDelete deletes the entry for key if its value is equal to old.
// The old value must be of a comparable type.
//

		// is based on a steady-state scannable heap size, we assume this means our
		// heap is growing. Compute a new heap goal that takes our existing runway
		// computed for scanWorkExpected and extrapolates it to maxScanWork, the worst-case
		// scan work. This keeps our assist ratio stable if the heap continues to grow.
		//
		// The effect of this mechanism is that assists stay flat in the face of heap

          "showLineNumbers": false,
          "showMiniMap": false
        },

  // +optional
  optional UncountedTerminatedPods uncountedTerminatedPods = 8;

  // The number of pods which have a Ready condition.
  //
  // This field is beta-level. The job controller populates the field when
  // the feature gate JobReadyPods is enabled (enabled by default).
  // +optional
  optional int32 ready = 9;
}

// JobTemplateSpec describes the data a Job should have when created from a template

			toBeAdded = canBeAdded
		}

		if truncateReady {
			// Truncate ready Addresses to allocated proportion and truncate all not ready
			// addresses
			subset.Addresses = addressSubset(subset.Addresses, toBeAdded)
			subset.NotReadyAddresses = []v1.EndpointAddress{}
			canBeAdded -= len(subset.Addresses)
		} else {
			// Only truncate the not ready addresses